From b5372bebbe089b2759a3c0aa09a24f36518811d2 Mon Sep 17 00:00:00 2001 From: "arjxn.py" Date: Sun, 18 Jun 2023 02:36:54 +0530 Subject: [PATCH 01/10] Squash previous 69 commits --- .all-contributorsrc | 9 + .coveragerc | 3 + .github/workflows/periodic_benchmarks.yml | 2 +- .github/workflows/publish_pypi.yml | 9 +- .../workflows/run_benchmarks_over_history.yml | 4 +- .github/workflows/run_periodic_tests.yml | 36 +- .github/workflows/test_on_push.yml | 49 +- .github/workflows/update_version.yml | 3 - .gitignore | 3 + .pre-commit-config.yaml | 2 +- CHANGELOG.md | 20 +- CITATION.cff | 2 +- CONTRIBUTING.md | 32 +- README.md | 5 +- build_manylinux_wheels/install_sundials.sh | 1 + docs/conf.py | 1 + docs/requirements.txt | 3 +- docs/source/_static/versions.json | 137 ++++- .../experiment.rst | 0 .../api/experiment/experiment_steps.rst | 20 + .../api/{experiments => experiment}/index.rst | 3 +- docs/source/api/index.rst | 2 +- .../user_guide/installation/GNU-linux.rst | 109 ++-- docs/source/user_guide/installation/index.rst | 44 +- .../installation/install-from-source.rst | 98 ++-- .../user_guide/installation/windows.rst | 2 +- .../Tutorial 5 - Run experiments.ipynb | 211 ++++++- .../notebooks/experiments-start-time.ipynb | 278 +++++++++ .../models/coupled-degradation.ipynb | 84 +-- .../notebooks/models/lithium-plating.ipynb | 31 +- .../parameterization/parameter-values.ipynb | 97 ++-- .../notebooks/solvers/speed-up-solver.ipynb | 208 +++---- examples/scripts/cycling_ageing.py | 2 +- examples/scripts/experiment_drive_cycle.py | 8 +- examples/scripts/run_ecm.py | 14 +- noxfile.py | 127 +++++ pybamm/__init__.py | 5 +- pybamm/citations.py | 166 +++++- .../{experiments => experiment}/__init__.py | 0 pybamm/experiment/experiment.py | 220 ++++++++ pybamm/experiments/experiment.py | 529 ------------------ pybamm/install_odes.py | 5 +- pybamm/parameters/bpx.py | 151 ++++- pybamm/simulation.py | 417 +++++++------- pybamm/solvers/casadi_solver.py | 4 +- pybamm/solvers/solution.py | 2 +- pybamm/step/__init__.py | 2 + pybamm/step/_steps_util.py | 278 +++++++++ pybamm/step/steps.py | 225 ++++++++ pybamm/version.py | 2 +- scripts/install_KLU_Sundials.py | 34 ++ setup.py | 1 + tests/integration/test_experiments.py | 21 + tests/unit/test_batch_study.py | 12 +- tests/unit/test_citations.py | 66 ++- .../unit/test_experiments/test_experiment.py | 512 +++-------------- .../test_experiments/test_experiment_steps.py | 275 +++++++++ .../test_simulation_with_experiment.py | 173 +++--- tests/unit/test_parameters/test_bpx.py | 41 +- tests/unit/test_simulation.py | 12 +- tox.ini | 77 --- vcpkg-configuration.json | 2 +- vcpkg.json | 2 +- 63 files changed, 3052 insertions(+), 1841 deletions(-) create mode 100644 .coveragerc rename docs/source/api/{experiments => experiment}/experiment.rst (100%) create mode 100644 docs/source/api/experiment/experiment_steps.rst rename docs/source/api/{experiments => experiment}/index.rst (80%) create mode 100644 examples/notebooks/experiments-start-time.ipynb create mode 100644 noxfile.py rename pybamm/{experiments => experiment}/__init__.py (100%) create mode 100644 pybamm/experiment/experiment.py delete mode 100644 pybamm/experiments/experiment.py create mode 100644 pybamm/step/__init__.py create mode 100644 pybamm/step/_steps_util.py create mode 100644 pybamm/step/steps.py create mode 100644 tests/unit/test_experiments/test_experiment_steps.py delete mode 100644 tox.ini diff --git a/.all-contributorsrc b/.all-contributorsrc index 18ccd59687..76fb908b68 100644 --- a/.all-contributorsrc +++ b/.all-contributorsrc @@ -631,6 +631,15 @@ "code", "bug" ] + }, + { + "login": "julian-evers", + "name": "julian-evers", + "avatar_url": "https://avatars.githubusercontent.com/u/133691040?v=4", + "profile": "https://github.com/julian-evers", + "contributions": [ + "code" + ] } ], "contributorsPerLine": 7, diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 0000000000..a174f5aced --- /dev/null +++ b/.coveragerc @@ -0,0 +1,3 @@ +[run] +source = pybamm +concurrency = multiprocessing diff --git a/.github/workflows/periodic_benchmarks.yml b/.github/workflows/periodic_benchmarks.yml index 28c4c86aeb..4816cc7661 100644 --- a/.github/workflows/periodic_benchmarks.yml +++ b/.github/workflows/periodic_benchmarks.yml @@ -27,7 +27,7 @@ jobs: - name: Install Linux system dependencies run: | sudo apt-get update - sudo apt install gfortran gcc libopenblas-dev + sudo apt-get install gfortran gcc libopenblas-dev - name: Install python dependencies run: | python -m pip install --upgrade pip wheel setuptools virtualenv asv wget cmake casadi numpy diff --git a/.github/workflows/publish_pypi.yml b/.github/workflows/publish_pypi.yml index eb2464d0f8..6d89da1387 100644 --- a/.github/workflows/publish_pypi.yml +++ b/.github/workflows/publish_pypi.yml @@ -40,13 +40,13 @@ jobs: .\bootstrap-vcpkg.bat - name: Cache packages installed through vcpkg on windows - uses: actions/cache@v2 + uses: actions/cache@v3 env: cache-name: vckpg_binary_cache with: path: C:\Users\runneradmin\AppData\Local\vcpkg\archives key: ${{ runner.os }}-build-VS2022-${{ env.cache-name }}-${{ hashFiles('vcpkg*.json') }} - + # Enable tmate debugging of manually-triggered workflows if the input option was provided - name: Setup tmate session uses: mxschmitt/action-tmate@v3 @@ -85,7 +85,7 @@ jobs: - name: Clone pybind11 repo (no history) run: git clone --depth 1 --branch v2.10.4 https://github.com/pybind/pybind11.git - - name: Install sundials on macOS + - name: Install SUNDIALS on macOS if: matrix.os == 'macos-latest' run: | # https://github.com/actions/virtual-environments/issues/1280 @@ -95,6 +95,7 @@ jobs: rm -f /usr/local/bin/python3* brew update brew reinstall gcc + brew install libomp python -m pip install cmake wget python scripts/install_KLU_Sundials.py @@ -104,7 +105,7 @@ jobs: # TODO: openblas no longer available on centos 7 i686 image, use blas instead for now CIBW_BEFORE_ALL_LINUX: > yum -y install blas-devel lapack-devel && - bash build_manylinux_wheels/install_sundials.sh 5.8.1 5.7.0 + bash build_manylinux_wheels/install_sundials.sh 5.8.1 6.5.0 CIBW_BEFORE_BUILD_LINUX: "python -m pip install cmake casadi numpy" CIBW_BEFORE_BUILD_MACOS: > diff --git a/.github/workflows/run_benchmarks_over_history.yml b/.github/workflows/run_benchmarks_over_history.yml index 9deb04169f..9cdcc0b2c0 100644 --- a/.github/workflows/run_benchmarks_over_history.yml +++ b/.github/workflows/run_benchmarks_over_history.yml @@ -27,8 +27,8 @@ jobs: uses: actions/setup-python@v4 with: python-version: 3.8 - - name: Install tox and asv - run: pip install -U pip "tox<4" asv + - name: Install nox and asv + run: pip install -U pip nox asv - name: Fetch develop branch # Not required when worklow trigerred # on develop, but useful when diff --git a/.github/workflows/run_periodic_tests.yml b/.github/workflows/run_periodic_tests.yml index 39ad33c052..bf5ea93b30 100644 --- a/.github/workflows/run_periodic_tests.yml +++ b/.github/workflows/run_periodic_tests.yml @@ -86,41 +86,35 @@ jobs: - name: Install standard python dependencies run: | - python -m pip install --upgrade pip wheel setuptools - python -m pip install "tox<4" - + python -m pip install --upgrade pip wheel setuptools nox + - name: Install SuiteSparse and Sundials if: matrix.os == 'ubuntu-latest' - run: tox -e pybamm-requires + run: nox -s pybamm-requires - - name: Run unit tests for GNU/Linux with Python 3.8, 3.10, and 3.11 - if: matrix.os == 'ubuntu-latest' && matrix.python-version != 3.9 - run: python -m tox -e unit + - name: Run unit tests for GNU/Linux with Python 3.8, 3.9, and 3.10 + if: matrix.os == 'ubuntu-latest' && matrix.python-version != 3.11 + run: nox -s unit - - name: Run unit tests for GNU/Linux with Python 3.9 and generate coverage report - if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.9 - run: python -m tox -e coverage + - name: Run unit tests for GNU/Linux with Python 3.11 and generate coverage report + if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 + run: nox -s coverage - name: Upload coverage report - if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.9 + if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 uses: codecov/codecov-action@v2.1.0 - - name: Run integration tests for GNU/Linux - if: matrix.os == 'ubuntu-latest' - run: python -m tox -e integration + - name: Run integration tests + run: nox -s integration - name: Run unit tests for Windows and MacOS if: matrix.os != 'ubuntu-latest' - run: python -m tox -e mac-windows-unit - - - name: Run integration tests for Windows and MacOS - if: matrix.os != 'ubuntu-latest' - run: python -m tox -e mac-windows-integration + run: nox -s unit - name: Install docs dependencies and run doctests if: matrix.os == 'ubuntu-latest' - run: tox -e doctests + run: nox -s doctests - name: Install dev dependencies and run example tests if: matrix.os == 'ubuntu-latest' - run: tox -e examples + run: nox -s examples diff --git a/.github/workflows/test_on_push.yml b/.github/workflows/test_on_push.yml index a987baaf7d..521b34aca2 100644 --- a/.github/workflows/test_on_push.yml +++ b/.github/workflows/test_on_push.yml @@ -51,18 +51,35 @@ jobs: with: python-version: ${{ matrix.python-version }} + # Install and cache apt packages - name: Install Linux system dependencies + uses: awalsh128/cache-apt-pkgs-action@v1.3.0 + if: matrix.os == 'ubuntu-latest' + with: + packages: gfortran gcc graphviz + execute_install_scripts: true + + # dot -c is for registering graphviz fonts and plugins + - name: Install OpenBLAS and TexLive for Linux if: matrix.os == 'ubuntu-latest' run: | sudo apt-get update - sudo apt install gfortran gcc libopenblas-dev graphviz - sudo apt install texlive-full + sudo dot -c + sudo apt-get install libopenblas-dev texlive-latex-extra dvipng # Added fixes to homebrew installs: # rm -f /usr/local/bin/2to3 # (see https://github.com/actions/virtual-environments/issues/2322) - name: Install MacOS system dependencies if: matrix.os == 'macos-latest' + env: + # Homebrew environment variables + HOMEBREW_NO_INSTALL_CLEANUP: 1 + HOMEBREW_NO_ANALYTICS: 1 + HOMEBREW_NO_GOOGLE_ANALYTICS: 1 + HOMEBREW_NO_AUTO_UPDATE: 1 + # Speed up CI + NONINTERACTIVE: 1 run: | rm -f /usr/local/bin/2to3* rm -f /usr/local/bin/idle3* @@ -76,39 +93,39 @@ jobs: if: matrix.os == 'windows-latest' run: choco install graphviz --version=2.38.0.20190211 - - name: Install standard python dependencies + - name: Install standard Python dependencies run: | python -m pip install --upgrade pip wheel setuptools - python -m pip install "tox<4" + python -m pip install nox - name: Install SuiteSparse and Sundials if: matrix.os == 'ubuntu-latest' - run: tox -e pybamm-requires + run: nox -s pybamm-requires - - name: Run unit tests for GNU/Linux with Python 3.8, 3.10, and 3.11 - if: matrix.os == 'ubuntu-latest' && matrix.python-version != 3.9 - run: python -m tox -e unit + - name: Run unit tests for GNU/Linux with Python 3.8, 3.9, and 3.10 + if: matrix.os == 'ubuntu-latest' && matrix.python-version != 3.11 + run: nox -s unit - - name: Run unit tests for GNU/Linux with Python 3.9 and generate coverage report - if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.9 - run: python -m tox -e coverage + - name: Run unit tests for GNU/Linux with Python 3.11 and generate coverage report + if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 + run: nox -s coverage - name: Upload coverage report - if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.9 + if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 uses: codecov/codecov-action@v2.1.0 - name: Run integration tests for GNU/Linux with Python 3.11 if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 - run: python -m tox -e integration + run: nox -s integration - name: Run unit tests for Windows and MacOS with all Python versions if: matrix.os != 'ubuntu-latest' - run: python -m tox -e mac-windows-unit + run: nox -s unit - name: Install docs dependencies and run doctests for GNU/Linux with Python 3.11 if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 - run: tox -e doctests + run: nox -s doctests - name: Install dev dependencies and run example tests for GNU/Linux with Python 3.11 if: matrix.os == 'ubuntu-latest' && matrix.python-version == 3.11 - run: tox -e examples + run: nox -s examples diff --git a/.github/workflows/update_version.yml b/.github/workflows/update_version.yml index b72cae1e05..7f05b6edfb 100644 --- a/.github/workflows/update_version.yml +++ b/.github/workflows/update_version.yml @@ -2,9 +2,6 @@ name: Update version on: workflow_dispatch: - schedule: - # Run at 10 am UTC on 28th every month - - cron: 0 10 28 * * jobs: update-version: diff --git a/.gitignore b/.gitignore index 2d4cc6a03b..5ad044d35c 100644 --- a/.gitignore +++ b/.gitignore @@ -113,6 +113,9 @@ test.json # tox .tox/ +# nox +.nox/ + # vcpkg vcpkg_installed/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7489227421..5c2a46a903 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -9,7 +9,7 @@ repos: - id: black - repo: https://github.com/charliermarsh/ruff-pre-commit - rev: "v0.0.269" + rev: "v0.0.272" hooks: - id: ruff args: [--ignore=E741, --exclude=__init__.py] diff --git a/CHANGELOG.md b/CHANGELOG.md index 7290323388..9cce6200ee 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,23 +1,34 @@ # [Unreleased](https://github.com/pybamm-team/PyBaMM/) +# [v23.5](https://github.com/pybamm-team/PyBaMM/tree/v23.5) - 2023-05-31 + +## Bug fixes + +- Realign 'count' increment in CasadiSolver._integrate() ([#2986](https://github.com/pybamm-team/PyBaMM/pull/2986)) + ## Features - Enable multithreading in IDAKLU solver ([#2947](https://github.com/pybamm-team/PyBaMM/pull/2947)) - If a solution contains cycles and steps, the cycle number and step number are now saved when `solution.save_data()` is called ([#2931](https://github.com/pybamm-team/PyBaMM/pull/2931)) +- Experiments can now be given a `start_time` to define when each step should be triggered ([#2616](https://github.com/pybamm-team/PyBaMM/pull/2616)) ## Optimizations - Test `JaxSolver`'s compatibility with Python `3.8`, `3.9`, `3.10`, and `3.11` ([#2958](https://github.com/pybamm-team/PyBaMM/pull/2958)) - Update Jax (0.4.8) and JaxLib (0.4.7) compatibility ([#2927](https://github.com/pybamm-team/PyBaMM/pull/2927)) +- Migrate from `tox=3.28` to `nox` ([#3005](https://github.com/pybamm-team/PyBaMM/pull/3005)) ## Bug fixes - Fix `pybamm_install_odes` and update the required SUNDIALS version ([#2958](https://github.com/pybamm-team/PyBaMM/pull/2958)) +- Fixed a bug where all data included in a BPX was incorrectly assumed to be given as a function of time.([#2957](https://github.com/pybamm-team/PyBaMM/pull/2957)) - Remove brew install for Mac from the recommended developer installation options for SUNDIALS ([#2925](https://github.com/pybamm-team/PyBaMM/pull/2925)) +- Fix `bpx.py` to correctly generate parameters for "lumped" thermal model ([#2860](https://github.com/pybamm-team/PyBaMM/issues/2860)) ## Breaking changes - Deprecate functionality to load parameter set from a csv file. Parameter sets must now be provided as python dictionaries ([#2959](https://github.com/pybamm-team/PyBaMM/pull/2959)) +- Tox support for Installation & testing has now been replaced by Nox ([#3005](https://github.com/pybamm-team/PyBaMM/pull/3005)) # [v23.4.1](https://github.com/pybamm-team/PyBaMM/tree/v23.4) - 2023-05-01 @@ -30,9 +41,10 @@ ## Features - Added verbose logging to `pybamm.print_citations()` and citation tags for the `pybamm.Citations` class so that users can now see where the citations were registered when running simulations ([#2862](https://github.com/pybamm-team/PyBaMM/pull/2862)) +- Updated to casadi 3.6, which required some changes to the casadi integrator ([#2859](https://github.com/pybamm-team/PyBaMM/pull/2859)) - PyBaMM is now natively supported on Apple silicon chips (`M1/M2`) ([#2435](https://github.com/pybamm-team/PyBaMM/pull/2435)) - PyBaMM is now supported on Python `3.10` and `3.11` ([#2435](https://github.com/pybamm-team/PyBaMM/pull/2435)) -- Updated to casadi 3.6, which required some changes to the casadi integrator. ([#2859](https://github.com/pybamm-team/PyBaMM/pull/2859)) + ## Optimizations @@ -40,10 +52,10 @@ ## Bug fixes +- Initial conditions for sensitivity equations calculated correctly ([#2920](https://github.com/pybamm-team/PyBaMM/pull/2920)) - Parameter sets can now contain the key "chemistry", and will ignore its value (this previously would give errors in some cases) ([#2901](https://github.com/pybamm-team/PyBaMM/pull/2901)) -- Fixed a bug in the discretisation of initial conditions of a scaled variable ([#2856](https://github.com/pybamm-team/PyBaMM/pull/2856)) - Fixed keyerror on "all" when getting sensitivities from IDAKLU solver([#2883](https://github.com/pybamm-team/PyBaMM/pull/2883)) -- Initial conditions for sensitivity equations calculated correctly ([#2920](https://github.com/pybamm-team/PyBaMM/pull/2920)) +- Fixed a bug in the discretisation of initial conditions of a scaled variable ([#2856](https://github.com/pybamm-team/PyBaMM/pull/2856)) ## Breaking changes @@ -65,7 +77,7 @@ - Fix non-deteministic outcome of some tests in the test suite ([#2844](https://github.com/pybamm-team/PyBaMM/pull/2844)) - Fixed excessive RAM consumption when running multiple simulations ([#2823](https://github.com/pybamm-team/PyBaMM/pull/2823)) -- Fixed use of last_state as starting_solution in Simulation.solve() ([#2822](https://github.com/pybamm-team/PyBaMM/pull/2822)) +- Fixed use of `last_state` as `starting_solution` in `Simulation.solve()` ([#2822](https://github.com/pybamm-team/PyBaMM/pull/2822)) - Fixed a bug where variable bounds could not contain `InputParameters` ([#2795](https://github.com/pybamm-team/PyBaMM/pull/2795)) - Improved `model.latexify()` to have a cleaner and more readable output ([#2764](https://github.com/pybamm-team/PyBaMM/pull/2764)) - Fixed electrolyte conservation in the case of concentration-dependent transference number ([#2758](https://github.com/pybamm-team/PyBaMM/pull/2758)) diff --git a/CITATION.cff b/CITATION.cff index d62ec88040..f5d6fe4911 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -24,6 +24,6 @@ keywords: - "expression tree" - "python" - "symbolic differentiation" -version: "23.4.1" +version: "23.5" repository-code: "https://github.com/pybamm-team/PyBaMM" title: "Python Battery Mathematical Modelling (PyBaMM)" diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 9431486d4e..48ef80e533 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -8,8 +8,8 @@ If you're already familiar with our workflow, maybe have a quick look at the [pr Before you commit any code, please perform the following checks: -- [All tests pass](#testing): `$ tox -e unit` (GNU/Linux and MacOS), `$ python -m tox -e windows-unit` (Windows) -- [The documentation builds](#building-the-documentation): `$ python -m tox -e docs` +- [All tests pass](#testing): `$ nox -s unit` +- [The documentation builds](#building-the-documentation): `$ nox -s docs` ### Installing and using pre-commit @@ -44,7 +44,7 @@ You now have everything you need to start making changes! ### B. Writing your code -6. PyBaMM is developed in [Python](), and makes heavy use of [NumPy](https://en.wikipedia.org/wiki/NumPy) (see also [NumPy for MatLab users](https://numpy.org/doc/stable/user/numpy-for-matlab-users.html) and [Python for R users](http://blog.hackerearth.com/how-can-r-users-learn-python-for-data-science)). +6. PyBaMM is developed in [Python](https://en.wikipedia.org/wiki/Python_(programming_language)), and makes heavy use of [NumPy](https://en.wikipedia.org/wiki/NumPy) (see also [NumPy for MatLab users](https://numpy.org/doc/stable/user/numpy-for-matlab-users.html) and [Python for R users](http://blog.hackerearth.com/how-can-r-users-learn-python-for-data-science)). 7. Make sure to follow our [coding style guidelines](#coding-style-guidelines). 8. Commit your changes to your branch with [useful, descriptive commit messages](https://chris.beams.io/posts/git-commit/): Remember these are publicly visible and should still make sense a few months ahead in time. While developing, you can keep using the GitHub issue you're working on as a place for discussion. [Refer to your commits](https://stackoverflow.com/questions/8910271/how-can-i-reference-a-commit-in-an-issue-comment-on-github) when discussing specific lines of code. 9. If you want to add a dependency on another library, or re-use code you found somewhere else, have a look at [these guidelines](#dependencies-and-reusing-code). @@ -136,12 +136,10 @@ This allows people to (1) use PyBaMM without ever importing Matplotlib and (2) c All code requires testing. We use the [unittest](https://docs.python.org/3.3/library/unittest.html) package for our tests. (These tests typically just check that the code runs without error, and so, are more _debugging_ than _testing_ in a strict sense. Nevertheless, they are very useful to have!) -If you have tox installed, to run unit tests, type +If you have nox installed, to run unit tests, type ```bash -tox -e unit # (GNU/Linux and MacOS) -# -python -m tox -e windows-unit # (Windows) +nox -s unit ``` else, type @@ -162,9 +160,7 @@ The tests are divided into `unit` tests, whose aim is to check individual bits o If you want to check integration tests as well as unit tests, type ```bash -tox -e tests # (GNU/Linux and MacOS) -# -python -m tox -e windows-tests # (Windows) +nox -s tests ``` When you commit anything to PyBaMM, these checks will also be run automatically (see [infrastructure](#infrastructure)). @@ -174,9 +170,7 @@ When you commit anything to PyBaMM, these checks will also be run automatically To test all example scripts and notebooks, type ```bash -tox -e examples # (GNU/Linux and MacOS) -# -python -m tox -e windows-examples # (Windows) +nox -s examples ``` If notebooks fail because of changes to pybamm, it can be a bit of a hassle to debug. In these cases, you can create a temporary export of a notebook's Python content using @@ -214,7 +208,6 @@ This also means that, if you can't fix the bug yourself, it will be much easier ``` or by just commenting out all the tests you don't want to run. - 2. Set break points, either in your IDE or using the Python debugging module. To use the latter, add the following line where you want to set the break point ```python @@ -240,7 +233,6 @@ This also means that, if you can't fix the bug yourself, it will be much easier ``` This will start the debugger at the point where the `ValueError` was raised, and allow you to investigate further. Sometimes, it is more informative to put the try-except block further up the call stack than exactly where the error is raised. - 2. Warnings. If functions are raising warnings instead of errors, it can be hard to pinpoint where this is coming from. Here, you can use the `warnings` module to convert warnings to errors: ```python @@ -249,7 +241,6 @@ This also means that, if you can't fix the bug yourself, it will be much easier ``` Then you can use a try-except block, as in a., but with, for example, `RuntimeWarning` instead of `ValueError`. - 3. Stepping through the expression tree. Most calls in PyBaMM are operations on [expression trees](https://github.com/pybamm-team/PyBaMM/blob/develop/examples/notebooks/expression_tree/expression-tree.ipynb). To view an expression tree in ipython, you can use the `render` command: ```python @@ -257,7 +248,6 @@ This also means that, if you can't fix the bug yourself, it will be much easier ``` You can then step through the expression tree, using the `children` attribute, to pinpoint exactly where a bug is coming from. For example, if `expression_tree.jac(y)` is failing, you can check `expression_tree.children[0].jac(y)`, then `expression_tree.children[0].children[0].jac(y)`, etc. - 3. To isolate whether a bug is in a model, its Jacobian or its simplified version, you can set the `use_jacobian` and/or `use_simplify` attributes of the model to `False` (they are both `True` by default for most models). 4. If a model isn't giving the answer you expect, you can try comparing it to other models. For example, you can investigate parameter limits in which two models should give the same answer by setting some parameters to be small or zero. The `StandardOutputComparison` class can be used to compare some standard outputs from battery models. 5. To get more information about what is going on under the hood, and hence understand what is causing the bug, you can set the [logging](https://realpython.com/python-logging/) level to `DEBUG` by adding the following line to your test or script: @@ -265,7 +255,6 @@ This also means that, if you can't fix the bug yourself, it will be much easier ```python3 pybamm.set_logging_level("DEBUG") ``` - 6. In models that inherit from `pybamm.BaseBatteryModel` (i.e. any battery model), you can use `self.process_parameters_and_discretise` to process a symbol and see what it will look like. ### Profiling @@ -285,7 +274,6 @@ as above, and then use some of the profiling tools. In order of increasing detai ``` tells you how long the line `command_to_time()` takes. You can use `%timeit` instead to run the command several times and obtain more accurate timings. - 2. Simple profiler. Using `%prun` instead of `%time` will give a brief profiling report 3. Detailed profiler. You can install the detailed profiler `snakeviz` through pip: ```bash @@ -307,7 +295,7 @@ PyBaMM is documented in several ways. First and foremost, every method and every class should have a [docstring](https://www.python.org/dev/peps/pep-0257/) that describes in plain terms what it does, and what the expected input and output is. -These docstrings can be fairly simple, but can also make use of [reStructuredText](http://docutils.sourceforge.net/docs/user/rst/quickref.html), a markup language designed specifically for writing [technical documentation](https://en.wikipedia.org/wiki/ReStructuredText). For example, you can link to other classes and methods by writing `` :class:`pybamm.Model` `` and `` :meth:`run()` ``. +These docstrings can be fairly simple, but can also make use of [reStructuredText](http://docutils.sourceforge.net/docs/user/rst/quickref.html), a markup language designed specifically for writing [technical documentation](https://en.wikipedia.org/wiki/ReStructuredText). For example, you can link to other classes and methods by writing ``:class:`pybamm.Model` `` and ``:meth:`run()` ``. In addition, we write a (very) small bit of documentation in separate reStructuredText files in the `docs` directory. Most of what these files do is simply import docstrings from the source code. But they also do things like add tables and indexes. If you've added a new class to a module, search the `docs` directory for that module's `.rst` file and add your class (in alphabetical order) to its index. If you've added a whole new module, copy-paste another module's file and add a link to your new file in the appropriate `index.rst` file. @@ -318,7 +306,7 @@ Using [Sphinx](http://www.sphinx-doc.org/en/stable/) the documentation in `docs` To test and debug the documentation, it's best to build it locally. To do this, navigate to your PyBaMM directory in a console, and then type: ``` -python -m tox -e docs (GNU/Linux, MacOS and Windows) +nox -s docs (GNU/Linux, MacOS and Windows) ``` And then visit the webpage served at http://127.0.0.1:8000. Each time a change to the documentation source is detected, the HTML is rebuilt and the browser automatically reloaded. @@ -384,7 +372,7 @@ Code coverage (how much of our code is actually seen by the (linux) unit tests) Configuration files: ``` -tox.ini +.coveragerc ``` ### Read the Docs diff --git a/README.md b/README.md index 87bf629bdc..b27a9b3fe0 100644 --- a/README.md +++ b/README.md @@ -14,7 +14,7 @@ [![black code style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black) -[![All Contributors](https://img.shields.io/badge/all_contributors-56-orange.svg)](#-contributors) +[![All Contributors](https://img.shields.io/badge/all_contributors-58-orange.svg)](#-contributors) @@ -252,7 +252,10 @@ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/d jsbrittain
jsbrittain
💻 ⚠️ Arjun
Arjun
🚇 CHEN ZHAO
CHEN ZHAO
🐛 + + darryl-ad
darryl-ad
💻 🐛 + julian-evers
julian-evers
💻 diff --git a/build_manylinux_wheels/install_sundials.sh b/build_manylinux_wheels/install_sundials.sh index 93bd675692..e97817a367 100644 --- a/build_manylinux_wheels/install_sundials.sh +++ b/build_manylinux_wheels/install_sundials.sh @@ -72,6 +72,7 @@ cmake -DENABLE_LAPACK=ON\ -DSUNDIALS_INDEX_SIZE=32\ -DEXAMPLES_ENABLE:BOOL=OFF\ -DENABLE_KLU=ON\ + -DENABLE_OPENMP=ON\ -DKLU_INCLUDE_DIR=$KLU_INCLUDE_DIR\ -DKLU_LIBRARY_DIR=$KLU_LIBRARY_DIR\ -DCMAKE_INSTALL_PREFIX=/usr\ diff --git a/docs/conf.py b/docs/conf.py index d443732e94..2fb5fe6304 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -51,6 +51,7 @@ "sphinx_copybutton", "myst_parser", "sphinx_extend_parent", + "sphinx_inline_tabs", ] diff --git a/docs/requirements.txt b/docs/requirements.txt index 6b443fe129..dc2066668c 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -21,4 +21,5 @@ sphinx>4.0 pydata-sphinx-theme sphinx_design sphinx-copybutton -myst-parser \ No newline at end of file +myst-parser +sphinx-inline-tabs 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"https://pybamm.readthedocs.io/en/v0.3.0/" + }, + { + "version": "v0.2.3", + "url": "https://pybamm.readthedocs.io/en/v0.2.3/" + }, + { + "version": "v0.2.2", + "url": "https://pybamm.readthedocs.io/en/v0.2.2/" + }, + { + "version": "v0.2.1", + "url": "https://pybamm.readthedocs.io/en/v0.2.1/" + }, + { + "version": "v0.2.0", + "url": "https://pybamm.readthedocs.io/en/v0.2.0/" + }, + { + "version": "v0.1.0", + "url": "https://pybamm.readthedocs.io/en/v0.1.0/" + } +] \ No newline at end of file diff --git a/docs/source/api/experiments/experiment.rst b/docs/source/api/experiment/experiment.rst similarity index 100% rename from docs/source/api/experiments/experiment.rst rename to docs/source/api/experiment/experiment.rst diff --git a/docs/source/api/experiment/experiment_steps.rst b/docs/source/api/experiment/experiment_steps.rst new file mode 100644 index 0000000000..a4637a866b --- /dev/null +++ b/docs/source/api/experiment/experiment_steps.rst @@ -0,0 +1,20 @@ +Experiment step functions +========================= + +The following functions can be used to define steps in an experiment. + +.. autofunction:: pybamm.step.string + +.. autofunction:: pybamm.step.current + +.. autofunction:: pybamm.step.voltage + +.. autofunction:: pybamm.step.power + +.. autofunction:: pybamm.step.resistance + +These functions return the following step class, which is not intended to be used +directly: + +.. autoclass:: pybamm.step._Step + :members: \ No newline at end of file diff --git a/docs/source/api/experiments/index.rst b/docs/source/api/experiment/index.rst similarity index 80% rename from docs/source/api/experiments/index.rst rename to docs/source/api/experiment/index.rst index 05dafa4867..f02ed31a53 100644 --- a/docs/source/api/experiments/index.rst +++ b/docs/source/api/experiment/index.rst @@ -5,4 +5,5 @@ Classes to help set operating conditions for some standard battery modelling exp .. toctree:: - experiment \ No newline at end of file + experiment + experiment_steps diff --git a/docs/source/api/index.rst b/docs/source/api/index.rst index 91563fb338..5cec6ae7aa 100644 --- a/docs/source/api/index.rst +++ b/docs/source/api/index.rst @@ -23,7 +23,7 @@ For a high-level introduction to PyBaMM, see the :ref:`user guide `. meshes/index spatial_methods/index solvers/index - experiments/index + experiment/index simulation plotting/index util diff --git a/docs/source/user_guide/installation/GNU-linux.rst b/docs/source/user_guide/installation/GNU-linux.rst index 8d15c3130a..19b6468816 100644 --- a/docs/source/user_guide/installation/GNU-linux.rst +++ b/docs/source/user_guide/installation/GNU-linux.rst @@ -9,32 +9,37 @@ Prerequisites To use and/or contribute to PyBaMM, you must have Python 3.8, 3.9, 3.10, or 3.11 installed. -To install Python 3 on Debian-based distribution (Debian, Ubuntu, Linux -mint), open a terminal and run +.. tab:: Debian-based distributions (Debian, Ubuntu, Linux Mint) -.. code:: bash + To install Python 3 on Debian-based distributions (Debian, Ubuntu, Linux Mint), open a terminal and run - sudo apt update - sudo apt install python3 + .. code:: bash -On Fedora or CentOS, you can use DNF or Yum. For example + sudo apt update + sudo apt install python3 -.. code:: bash +.. tab:: Fedora/CentOS - sudo dnf install python3 + On Fedora or CentOS, you can use DNF or Yum. For example -On Mac OS distributions, you can use ``homebrew``. First `install -brew `__: + .. code:: bash -.. code:: bash + sudo dnf install python3 - ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" +.. tab:: macOS -then follow instructions in link on adding brew to path, and run + On macOS, you can use the ``homebrew`` package manager. First, `install + brew `__: -.. code:: bash + .. code:: bash + + ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" + + then follow instructions in the link on adding ``brew`` to path, and run + + .. code:: bash - brew install python3 + brew install python3 Install PyBaMM ============== @@ -70,18 +75,22 @@ the environment and go back to your original system, just type: PyBaMM can be installed via pip. On macOS, it is necessary to install the `SUNDIALS `__ library beforehand. -GNU/Linux and Windows -~~~~~~~~~~~~~~~~~~~~~ -.. code:: bash +.. tab:: GNU/Linux and Windows - pip install pybamm + In a terminal, run the following command: -macOS -~~~~~ -.. code:: bash + .. code:: bash + + pip install pybamm + +.. tab:: macOS + + In a terminal, run the following commands: + + .. code:: bash - brew install sundials - pip install pybamm + brew install sundials + pip install pybamm PyBaMM’s dependencies (such as ``numpy``, ``scipy``, etc) will be installed automatically when you install PyBaMM using ``pip``. @@ -99,25 +108,27 @@ order to use the wrapped SUNDIALS ODE and DAE `solvers `__. Currently, only GNU/Linux and macOS are supported. -GNU/Linux -~~~~~~~~~ +.. tab:: GNU/Linux -.. code:: bash + In a terminal, run the following commands: - apt install libopenblas-dev - pybamm_install_odes + .. code:: bash -The ``pybamm_install_odes`` command is installed with PyBaMM. It automatically downloads and installs the SUNDIALS library on your -system (under ``~/.local``), before installing ``sckits.odes`` (by running ``pip install scikits.odes``). + apt install libopenblas-dev + pybamm_install_odes -macOS -~~~~~ + The ``pybamm_install_odes`` command is installed with PyBaMM. It automatically downloads and installs the SUNDIALS library on your + system (under ``~/.local``), before installing ``scikits.odes`` (by running ``pip install scikits.odes``). -.. code:: bash +.. tab:: macOS + + In a terminal, run the following command: + + .. code:: bash pip install scikits.odes -Assuming that the SUNDIALS were installed as described :ref:`above`. + Assuming that SUNDIALS was installed as described :ref:`above`. Optional - JaxSolver -------------------- @@ -138,20 +149,24 @@ Developer install ----------------- If you wish to contribute to PyBaMM, you should get the latest version -from the GitHub repository. To do so, you must have Git and graphviz -installed. For instance run +from the GitHub repository. To do so, you must have ``Git`` and ``graphviz`` +installed. For instance, run -.. code:: bash + .. tab:: Debian-based distributions (Debian, Ubuntu, Linux Mint) - sudo apt install git graphviz + In a terminal, run the following command: -on Debian-based distributions, or + .. code:: bash -.. code:: bash + sudo apt install git graphviz - brew install git graphviz + .. tab:: macOS -on Mac OS. + In a terminal, run the following command: + + .. code:: bash + + brew install git graphviz To install PyBaMM, the first step is to get the code by cloning this repository @@ -163,10 +178,16 @@ repository Then, to install PyBaMM as a `developer `__, type - .. code:: bash +.. code:: bash pip install -e .[dev,docs] +or on ``zsh`` shells, type + +.. code:: bash + + pip install -e .'[dev,docs]' + To check whether PyBaMM has installed properly, you can run the tests: .. code:: bash diff --git a/docs/source/user_guide/installation/index.rst b/docs/source/user_guide/installation/index.rst index d3ba10fb7e..636be8743f 100644 --- a/docs/source/user_guide/installation/index.rst +++ b/docs/source/user_guide/installation/index.rst @@ -2,35 +2,45 @@ Installation ============ PyBaMM is available on GNU/Linux, MacOS and Windows. -It can be installed using pip or conda, or from source. +It can be installed using `pip` or `conda`, or from source. -Using pip ----------- +.. tab:: GNU/Linux and Windows -PyBaMM can be installed via pip from `PyPI `__ + .. tab:: pip -GNU/Linux and Windows -~~~~~~~~~~~~~~~~~~~~~ + PyBaMM can be installed via pip from `PyPI `__. -.. code:: bash + .. code:: bash - pip install pybamm + pip install pybamm -macOS -~~~~~ + .. tab:: conda -.. code:: bash + PyBaMM is part of the `Anaconda `_ distribution and is available as a conda package through the conda-forge channel. - brew install sundials && pip install pybamm + .. code:: bash -Using conda ------------ + conda install -c conda-forge pybamm -PyBaMM is part of the `Anaconda `_ distribution and is available as a conda package through the conda-forge channel +.. tab:: macOS -.. code:: bash + .. tab:: pip + + PyBaMM can be installed via pip from `PyPI `__. + + .. code:: bash + + brew install sundials && pip install pybamm + + + .. tab:: conda + + PyBaMM is part of the `Anaconda `_ distribution and is available as a conda package through the conda-forge channel. + + .. code:: bash + + conda install -c conda-forge pybamm - conda install -c conda-forge pybamm Optional solvers ---------------- diff --git a/docs/source/user_guide/installation/install-from-source.rst b/docs/source/user_guide/installation/install-from-source.rst index 7a09b2ebe3..1200d84686 100644 --- a/docs/source/user_guide/installation/install-from-source.rst +++ b/docs/source/user_guide/installation/install-from-source.rst @@ -31,26 +31,28 @@ To install PyBaMM, you will need: - A C compiler (ex: ``gcc``). - A Fortran compiler (ex: ``gfortran``). -On Ubuntu, you can install the above with +You can install the above with -.. code:: bash +.. tab:: Ubuntu - sudo apt install python3.X python3.X-dev libopenblas-dev gcc gfortran + .. code:: bash -Where ``X`` is the version sub-number. + sudo apt install python3.X python3.X-dev libopenblas-dev gcc gfortran -On MacOS, + Where ``X`` is the version sub-number. -.. code:: bash +.. tab:: MacOS + + .. code:: bash - brew install python openblas gcc gfortran + brew install python openblas gcc gfortran libomp -Finally, we recommend using `Tox `_. +Finally, we recommend using `Nox `_. You can install it with .. code:: bash - python3.X -m pip install --user "tox<4" + python3.X -m pip install --user nox Depending on your operating system, you may or may not have ``pip`` installed along Python. If ``pip`` is not found, you probably want to install the ``python3-pip`` package. @@ -68,7 +70,7 @@ If you are running windows, you can simply skip this section and jump to :ref:`p .. code:: bash # in the PyBaMM/ directory - tox -e pybamm-requires + nox -s pybamm-requires This will download, compile and install the SuiteSparse and SUNDIALS libraries. Both libraries are installed in ``~/.local``. @@ -97,27 +99,32 @@ Installing PyBaMM You should now have everything ready to build and install PyBaMM successfully. -Using Tox (recommended) +Using Nox (recommended) ~~~~~~~~~~~~~~~~~~~~~~~ -.. code:: bash +.. tab:: GNU/Linux, MacOS & Windows - # in the PyBaMM/ directory - tox -e dev # (GNU/Linux and MacOS) - # - python -m tox -e windows-dev # (Windows) + .. code:: bash + # in the PyBaMM/ directory + nox -s dev -This creates a virtual environment ``.tox/dev`` (or ``windows-dev``) inside the ``PyBaMM/`` directory. +This creates a virtual environment ``.nox/dev`` inside the ``PyBaMM/`` directory. It comes ready with PyBaMM and some useful development tools like `pre-commit `_ and `black `_. You can now activate the environment with -.. code:: bash +.. tab:: GNU/Linux and MacOS - source .tox/dev/bin/activate # (GNU/Linux and MacOS) - # - .tox\windows-dev\Scripts\activate.bat # (Windows) + .. code:: bash + + source .nox/dev/bin/activate + +.. tab:: Windows + + .. code:: bash + + .nox\dev\Scripts\activate.bat # (Windows) and run the tests to check your installation. @@ -130,40 +137,44 @@ From the ``PyBaMM/`` directory, you can install PyBaMM using ``python setup.py i pip install . - If you intend to contribute to the development of PyBaMM, it is convenient to install in "editable mode", along with useful tools for development and documentation: .. code:: bash pip install -e .[dev,docs] +If you are using ``zsh``, you would need to use different pattern matching: + +.. code:: bash + + pip install -e .'[dev,docs]' + Running the tests -------------------- -Using Tox (recommended) +Using Nox (recommended) ~~~~~~~~~~~~~~~~~~~~~~~ -You can use Tox to run the unit tests and example notebooks in isolated virtual environments. +You can use Nox to run the unit tests and example notebooks in isolated virtual environments. The default command -.. code:: bash +.. tab:: GNU/Linux, MacOS & Windows + + .. code:: bash - tox -e tests # (GNU/Linux and MacOS) - # - python -m tox -e windows-tests # (Windows) + nox -s tests will run the full test suite (integration and unit tests). This can take several minutes. It is often sufficient to run the unit tests only. To do so, use - .. code:: bash +.. tab:: GNU/Linux, MacOS & Windows - tox -e unit # (GNU/Linux and MacOS) - # - python -m tox -e windows-unit # (Windows) + .. code:: bash + nox -s unit Using the test runner ~~~~~~~~~~~~~~~~~~~~~~ @@ -198,7 +209,7 @@ The documentation is built using .. code:: bash - tox -e docs + nox -s docs This will build the documentation and serve it locally (thanks to `sphinx-autobuild `_) for preview. The preview will be updated automatically following changes. @@ -206,23 +217,12 @@ The preview will be updated automatically following changes. Doctests, examples, style and coverage -------------------------------------- -- ``tox -e examples``: Run the example scripts in ``examples/scripts``. -- ``tox -e doctests``: Run doctests. -- ``tox -e coverage``: Measure current test coverage. - -Note for Windows users ----------------------- +.. tab:: GNU/Linux, MacOS & Windows -If you are running Windows, the following tox commands must be prefixed by ``windows-``: + ``Nox`` can also be used to run the following commands: -- ``tests`` -- ``unit`` -- ``examples`` -- ``doctests`` -- ``dev`` + - ``nox -s examples``: Run the example scripts in ``examples/scripts``. + - ``nox -s doctests``: Run doctests. -For example, to run the full test suite on Windows you would type: - -.. code:: bash - python -m tox -e windows-tests +Use ``nox -s coverage`` to measure current test coverage on all platforms. diff --git a/docs/source/user_guide/installation/windows.rst b/docs/source/user_guide/installation/windows.rst index 2f84c3a8a6..a0f4579bc5 100644 --- a/docs/source/user_guide/installation/windows.rst +++ b/docs/source/user_guide/installation/windows.rst @@ -42,7 +42,7 @@ type: You can then “activate” the environment using: -.. code:: bash +.. code:: cmd env\Scripts\activate.bat diff --git a/examples/notebooks/Getting Started/Tutorial 5 - Run experiments.ipynb b/examples/notebooks/Getting Started/Tutorial 5 - Run experiments.ipynb index c60285a19b..ab65829500 100644 --- a/examples/notebooks/Getting Started/Tutorial 5 - Run experiments.ipynb +++ b/examples/notebooks/Getting Started/Tutorial 5 - Run experiments.ipynb @@ -19,6 +19,13 @@ "execution_count": 1, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "ERROR: Invalid requirement: '#'\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -29,7 +36,15 @@ ], "source": [ "%pip install pybamm -q # install PyBaMM if it is not installed\n", - "import pybamm" + "import pybamm\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## String-based instructions" ] }, { @@ -83,9 +98,22 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "module 'pybamm.step' has no attribute '_Step'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[5], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m sim \u001b[38;5;241m=\u001b[39m \u001b[43mpybamm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mSimulation\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexperiment\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexperiment\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32mc:\\code\\pybamm\\pybamm\\simulation.py:101\u001b[0m, in \u001b[0;36mSimulation.__init__\u001b[1;34m(self, model, experiment, geometry, parameter_values, submesh_types, var_pts, spatial_methods, solver, output_variables, C_rate)\u001b[0m\n\u001b[0;32m 94\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parameter_values\u001b[38;5;241m.\u001b[39mupdate(\n\u001b[0;32m 95\u001b[0m {\n\u001b[0;32m 96\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCurrent function [A]\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mC_rate\n\u001b[0;32m 97\u001b[0m \u001b[38;5;241m*\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_parameter_values[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNominal cell capacity [A.h]\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m 98\u001b[0m }\n\u001b[0;32m 99\u001b[0m )\n\u001b[0;32m 100\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 101\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(experiment, (\u001b[38;5;28mstr\u001b[39m, \u001b[43mpybamm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexperiment\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_Step\u001b[49m)):\n\u001b[0;32m 102\u001b[0m experiment \u001b[38;5;241m=\u001b[39m pybamm\u001b[38;5;241m.\u001b[39mExperiment([experiment])\n\u001b[0;32m 103\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(experiment, \u001b[38;5;28mlist\u001b[39m):\n", + "\u001b[1;31mAttributeError\u001b[0m: module 'pybamm.step' has no attribute '_Step'" + ] + } + ], "source": [ "sim = pybamm.Simulation(model, experiment=experiment)" ] @@ -105,16 +133,26 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c842009da20b48adad4948737f0c2fca", + "model_id": "3254388ac62b4c2f80f15cfa4ad42f73", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "interactive(children=(FloatSlider(value=0.0, description='t', max=38.86666666666666, step=0.3886666666666666),…" + "interactive(children=(FloatSlider(value=0.0, description='t', max=38.90909528397491, step=0.38909095283974904)…" ] }, "metadata": {}, "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ @@ -134,18 +172,16 @@ " \"Discharge at C/20 for 0.5 hours\",\n", " \"Charge at 0.5 C for 45 minutes\",\n", " \"Discharge at 1 A for 90 seconds\",\n", - " \"Charge at 200mA for 45 minutes (1 minute period)\",\n", + " \"Charge at 200mA for 45 minutes\",\n", " \"Discharge at 1 W for 0.5 hours\",\n", " \"Charge at 200 mW for 45 minutes\",\n", - " \"Rest for 10 minutes (5 minute period)\",\n", + " \"Rest for 10 minutes\",\n", " \"Hold at 1 V for 20 seconds\",\n", " \"Charge at 1 C until 4.1V\",\n", " \"Hold at 4.1 V until 50 mA\",\n", " \"Hold at 3V until C/50\",\n", "```\n", "\n", - "Optionally, each instruction can contain at the end the expression \"(x minute period)\" in which the period at which to record the simulation outputs during that instruction. To change the period for the whole experiment we can pass it as a keyword argument in the experiment.\n", - "\n", "Additionally, we can use the operators `+` and `*` on lists in order to combine and repeat cycles:" ] }, @@ -172,6 +208,152 @@ "[(\"Discharge at 1C for 0.5 hours\", \"Discharge at C/20 for 0.5 hours\")] * 3 + [(\"Charge at 0.5 C for 45 minutes\",)]" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To pass additional arguments such as a period, temperature, or tags, the method `pybamm.step.string` should be used, for example:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "_Step(C-rate, 1.0, duration=1 hour, period=1 minute, temperature=25oC, tags=['tag1'], description=Discharge at 1C for 1 hour)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pybamm.step.string(\"Discharge at 1C for 1 hour\", period=\"1 minute\", temperature=\"25oC\", tags=[\"tag1\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Direct instructions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Experiments can also be specified programmatically without having to use string formatting. For example," + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "_Step(current, 1, duration=1 hour, termination=2.5 V)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pybamm.step.current(1, duration=\"1 hour\", termination=\"2.5 V\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "is equivalent to " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "_Step(current, 1.0, duration=1 hour, termination=2.5V, description=Discharge at 1A for 1 hour or until 2.5V)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pybamm.step.string(\"Discharge at 1A for 1 hour or until 2.5V\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The available methods are `current`, `c_rate`, `voltage`, `power`, and `resistance`.\n", + "\n", + "The period, temperature, and tags options are the same as for `pybamm.step.string`.\n", + "\n", + "These methods can also be used for drive cycles:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "88acadd29b9246f8a12940a4912dc12b", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.0, description='t', max=1.0, step=0.01), Output()), _dom_classes=('w…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "t = np.linspace(0, 1, 60)\n", + "sin_t = 0.5 * np.sin(2 * np.pi * t)\n", + "drive_cycle_power = np.column_stack([t,sin_t])\n", + "experiment = pybamm.Experiment([pybamm.step.power(drive_cycle_power)])\n", + "sim = pybamm.Simulation(model, experiment=experiment)\n", + "sim.solve()\n", + "sim.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For a drive cycle, the duration is until the final time provided and the period is the smallest time step. For best results, we recommend using a constant time step size." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -190,7 +372,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -201,7 +383,10 @@ "[2] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", "[3] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", "[4] Scott G. Marquis, Valentin Sulzer, Robert Timms, Colin P. Please, and S. Jon Chapman. An asymptotic derivation of a single particle model with electrolyte. Journal of The Electrochemical Society, 166(15):A3693–A3706, 2019. doi:10.1149/2.0341915jes.\n", - "[5] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). ECSarXiv. February, 2020. doi:10.1149/osf.io/67ckj.\n", + "[5] Peyman Mohtat, Suhak Lee, Jason B Siegel, and Anna G Stefanopoulou. Towards better estimability of electrode-specific state of health: decoding the cell expansion. Journal of Power Sources, 427:101–111, 2019.\n", + "[6] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[7] Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, and others. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3):261–272, 2020. doi:10.1038/s41592-019-0686-2.\n", + "[8] Andrew Weng, Jason B Siegel, and Anna Stefanopoulou. Differential voltage analysis for battery manufacturing process control. arXiv preprint arXiv:2303.07088, 2023.\n", "\n" ] } @@ -227,7 +412,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.10.9" }, "toc": { "base_numbering": 1, @@ -244,5 +429,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/notebooks/experiments-start-time.ipynb b/examples/notebooks/experiments-start-time.ipynb new file mode 100644 index 0000000000..59348eb604 --- /dev/null +++ b/examples/notebooks/experiments-start-time.ipynb @@ -0,0 +1,278 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "regional-bedroom", + "metadata": {}, + "source": [ + "# Experiments with `start_time`" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "quantitative-radar", + "metadata": {}, + "source": [ + "This notebook introduces functionality for simulating user case in which the experiment steps are triggered at a certain point in time." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "novel-spectacular", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.1.2\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", + "Note: you may need to restart the kernel to use updated packages.\n" + ] + } + ], + "source": [ + "%pip install pybamm -q # install PyBaMM if it is not installed\n", + "import pybamm\n", + "from datetime import datetime" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "11c87da1", + "metadata": {}, + "source": [ + "Let's start defining a model to illustrate this functionality, in this case we choose the SPM" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "96b62a7f", + "metadata": {}, + "outputs": [], + "source": [ + "model = pybamm.lithium_ion.SPM()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "f388d538", + "metadata": {}, + "source": [ + "Usually we define an experiment such that each step is triggered when the previous step is completed. For example, in this case we do a 1C discharge for 20 minutes and then a C/3 charge for 10 minutes. The charge step starts after 20 minutes, i.e. once the discharge step is finished." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "eba027c8", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "86a9137722254204893ad9cf3402c6df", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.0, description='t', max=1800.0, step=18.0), Output()), _dom_classes=…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "experiment = pybamm.Experiment([\"Discharge at 1C for 20 minutes\", \"Charge at C/3 for 10 minutes\"])\n", + "sim = pybamm.Simulation(model, experiment=experiment)\n", + "sim.solve()\n", + "sim.plot()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "0fdfced4", + "metadata": {}, + "source": [ + "However, if we want to represent a realistic user case we might certain experiments to be run at a certain time instead, even if that means cutting short the previous step. In this case we can pass a starting time as a keyword argument in the `pybamm.step.string` method. The `start_time` should be passed as a `datetime.datetime` object." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "171550ac", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a22e45e9e8ff46b194efe28b21f7a9a6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.0, description='t', max=2.5, step=0.025), Output()), _dom_classes=('…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = pybamm.step.string\n", + "\n", + "experiment = pybamm.Experiment(\n", + " [\n", + " s(\"Discharge at 1C for 1 hour\", start_time=datetime(1, 1, 1, 8, 0, 0)),\n", + " s(\"Charge at C/3 for 10 minutes\", start_time=datetime(1, 1, 1, 8, 30, 0)),\n", + " s(\"Discharge at C/2 for 30 minutes\", start_time=datetime(1, 1, 1, 9, 0, 0)),\n", + " s(\"Rest for 1 hour\"),\n", + " ]\n", + ")\n", + "sim = pybamm.Simulation(model, experiment=experiment)\n", + "sim.solve()\n", + "sim.plot()" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "edfa4c9f", + "metadata": {}, + "source": [ + "In the example above, we note that the first step (1C discharge) is cut short as the second step (C/3 charge) start time occurs before the end of the first step. On the other hand, an additional resting period is added after the second step as the third step (C/2 discharge) start time is 20 minutes later than the end of the second step. The final step does not have a start time so it is triggered immediately after the previous step. Note that if the argument `start_time` is used in an experiment, the first step should always have a `start_time`, otherwise the solver will throw an error." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "fff78a14", + "metadata": {}, + "source": [ + "Note that you can use the `datetime.strptime` (see [the docs](https://docs.python.org/3/library/datetime.html#datetime.datetime.strptime) for more info) function to convert a string to a datetime object. For example, to start the experiment at 8:30 on the 2nd of January 2023, you can use" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bb616043", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "datetime.datetime(2023, 1, 2, 8, 30)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "datetime.strptime(\"2023-01-02 8:30:00\", \"%Y-%m-%d %H:%M:%S\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "driven-sensitivity", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n", + "[2] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", + "[3] Scott G. Marquis, Valentin Sulzer, Robert Timms, Colin P. Please, and S. Jon Chapman. An asymptotic derivation of a single particle model with electrolyte. Journal of The Electrochemical Society, 166(15):A3693–A3706, 2019. doi:10.1149/2.0341915jes.\n", + "[4] Peyman Mohtat, Suhak Lee, Jason B Siegel, and Anna G Stefanopoulou. Towards better estimability of electrode-specific state of health: decoding the cell expansion. Journal of Power Sources, 427:101–111, 2019.\n", + "[5] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[6] Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, and others. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3):261–272, 2020. doi:10.1038/s41592-019-0686-2.\n", + "[7] Andrew Weng, Jason B Siegel, and Anna Stefanopoulou. Differential voltage analysis for battery manufacturing process control. arXiv preprint arXiv:2303.07088, 2023.\n", + "\n" + ] + } + ], + "source": [ + "pybamm.print_citations()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "593ae90b", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": true + }, + "vscode": { + "interpreter": { + "hash": "612adcc456652826e82b485a1edaef831aa6d5abc680d008e93d513dd8724f14" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/notebooks/models/coupled-degradation.ipynb b/examples/notebooks/models/coupled-degradation.ipynb index 7fc207bdb1..e7d524c6e2 100644 --- a/examples/notebooks/models/coupled-degradation.ipynb +++ b/examples/notebooks/models/coupled-degradation.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "7008f034", "metadata": {}, @@ -21,7 +22,7 @@ "output_type": "stream", "text": [ "\n", - "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.1.2\u001b[0m\n", + "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.0.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.1.2\u001b[0m\n", "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n", "Note: you may need to restart the kernel to use updated packages.\n" ] @@ -34,6 +35,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "a484509e", "metadata": {}, @@ -63,6 +65,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "5d85aaac", "metadata": {}, @@ -88,6 +91,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "03273e06", "metadata": {}, @@ -100,52 +104,27 @@ "execution_count": 4, "id": "23cab5d3", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "At t = 429.694 and h = 1.90845e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 189.694 and h = 1.08118e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 429.056 and h = 1.03275e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 189.056 and h = 1.55345e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 428.452 and h = 1.07163e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 188.452 and h = 5.62564e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 427.875 and h = 8.65593e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 187.875 and h = 4.92298e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 427.318 and h = 5.26578e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 187.318 and h = 1.08486e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 426.78 and h = 4.79552e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 106.749 and h = 7.30642e-10, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 426.258 and h = 8.10498e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 186.258 and h = 4.4419e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 425.75 and h = 1.46805e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 185.75 and h = 3.2172e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 425.256 and h = 1.55841e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 185.257 and h = 1.08843e-11, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 424.777 and h = 2.85638e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 184.777 and h = 9.16801e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n" - ] - } - ], + "outputs": [], "source": [ "cycle_number = 10\n", "exp = pybamm.Experiment(\n", - " [\"Hold at 4.2 V until C/100 (5 minute period)\",\n", - " \"Rest for 4 hours (5 minute period)\",\n", - " \"Discharge at 0.1C until 2.5 V (5 minute period)\", # initial capacity check\n", - " \"Charge at 0.3C until 4.2 V (5 minute period)\",\n", - " \"Hold at 4.2 V until C/100 (5 minute period)\",]\n", + " [\"Hold at 4.2 V until C/100\",\n", + " \"Rest for 4 hours\",\n", + " \"Discharge at 0.1C until 2.5 V\", # initial capacity check\n", + " \"Charge at 0.3C until 4.2 V\",\n", + " \"Hold at 4.2 V until C/100\",]\n", " + [(\"Discharge at 1C until 2.5 V\", # ageing cycles\n", - " \"Charge at 0.3C until 4.2 V (5 minute period)\",\n", - " \"Hold at 4.2 V until C/100 (5 minute period)\",)] * cycle_number\n", - " + [\"Discharge at 0.1C until 2.5 V (5 minute period)\"] # final capacity check\n", + " \"Charge at 0.3C until 4.2 V\",\n", + " \"Hold at 4.2 V until C/100\",)] * cycle_number\n", + " + [\"Discharge at 0.1C until 2.5 V\"], # final capacity check\n", + " period=\"5 minutes\"\n", ")\n", "sim = pybamm.Simulation(model, parameter_values=param, experiment=exp, var_pts=var_pts)\n", "sol = sim.solve()" ] }, { + "attachments": {}, "cell_type": "markdown", "id": "ff476a16", "metadata": {}, @@ -161,14 +140,12 @@ "outputs": [ { "data": { - "image/png": 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2SCTCnXfeyauvvsrIkSN5+cWXeOX1F7nptpvj590RXbxt21x33XUMHDiQE088kVNPPXWnVPI/OmIhEUNt9lSsQtmjK/brN7eudVA3aViWjdSiRWzKpDgIlm0DQCjuSxMsagmmK3Vvpjp8WZo0MKuqlYmJRONjvsRoXKQjJnLg4ooZV/DO+ncAMGyDK2Zcwfsb3gcgaAa5YsYVzNg4A4DGSCNXzLiCmZtmAlAbquWKGVcwu2Q2AFVBNR39iouLmT9/Ph9++CHXXnstoVDbHg0DBw7k66+/ZsmSJdx9993cdttt+Hw+7r77bqZPn05hYSFTzjgnenSLXRyji//ggw+45ZZbAHjrrbcoLi5m5cqVvPDCC8ydO3evx73fSOOUp6k6P+iEzmo75rXpAqjw3hmtAvj7hawQQHGxXGhrq9+ewktqWu24/3QjpPS1i8V4fClOqvfBRsDY4c46wDBt2jQ0TaNfv3707t2b1atXt9lfX1/PZZddxrp16xBCYBjbu112lO2zI7r4b775hqlTp6JpGp06deK4447bo7G2ySKRUmlq5/76WZlh596Z1epWnvCD3hsqlUibNFW11lUs9uK4HNXBMFrul9LAel0T4MVjh5W+gKFyRynqwlH4mj9RnTAF+J9SIs+c0sLv5NW8bT4nehLbfE71pbb5nOnPbPM5JzFnj+Vbhk1zfXiXL774wUT8w8/toWuPTe6tv7kvdPE7Q2tlJaXqxM79VOtgONdkB9X69x0lEl25K8z8aZOmqtoSYf/QdZimRLMi2LpPsRVnAF480lC6iAk3Oe+aNzobH2yWyP+UO+vHRv22JkLNxi65kl5//XVs22bDhg0UFRUx4AcVuTuja09NTaWxsREA4Y36VnfjVjjyyCN58803sW2bioqKnZJC7gzbWSIKEVtFq/6B7a9ah9btUH29e6uTs5+YdaF1rYPi7CxL4JGOJeftvnetFdqDSMhE2CaaUPvOxbjARNVWAKydkKgeqOhQIooRCAQoKCigoKCAoWMG8cRTj7Ir27h79+6MHTuWyZMn88QTT+D3t6XE2Bld+3HHHcfKlSsZOXIkr78VDY7vZsKdMmUKBQUFDB48mIsvvpjRo0fvWSfCVjxWyldP+4nZNM54q1iO0YoqxthBN0q30CaAr0xKjKwwmjWn+FGZlsCDc/+EwpRvI2w7abeK+dqMJie117N/uB5dx/+UO+vHgN3K5bOtuB6EICPLiy91x37PSZMm8cQTT7TZFuuMCDuna8/KymLBggUANFfU0RzSuPi8acDO6eI1TeOhhx4iJSWF6upqxo4dy7Bhw9p9bbKVEhOKf2hSiP0SGBGdukKpeu4TM9Jy76y6OmVyIk2tCCVV1lREWsgXbaHWrWVKHc0IgieD0IoVcIwaa8SM2Oh2BKELtbGXKI2L16tB+OCrWO9QIj8GVLt+9uD8p59+OnV1dUQiEe644w46derU7u+27oOh3BLZT78rW08AAqheTut9B0JJOaB20jBbuU6Vus2anYlQt8LYHsX0KlLHL2JKWN1zMgwbj22Bvj/6sHjxJjhK5GDjzupQIvsTUZeM3MmM+EOLYW8h98Ctv6dxkDZyWrON2jYoCqy2VlDCq5aIMVC0GfQ9T5rYU0SqWnE+KZw0tM7dgJUAiFbJFW4jEs028wgLQ6i1Si08eEWsSYpCBWyCjoU3Nx/do05ZRWJKxO+Bho7AegfaA9XvSIw2XbWY/WR2t1ZWwqfWcWxG2VRVX1mgVcGcyokwsCHKBWZbhFauUibHjK5HfcnqFFUMltdPYtd8QO2Ea1oCjzDRMzLQMzLUyQlbaFYEzddRbNiB9kK5O0vp6VvktMnOUimnRYnYijsbtqSpquZ/alXroFBOMFqYp1thpe9FcPMWALTmOkDd5G6ZNrYt8HfKicpRIsZBXheSB/cnvG4doTVrd3/8XsK0BLodQYtaih2WSAd2C+Xhg/30EqqmMI/B3o9NeizhrKj1zEylcsw2heQKax2iWWC6rbZjY7jOUe6JBdGYmqJLitHSmKuXqRHQWlYggkdYznJC4U9K69mHxM458ba4BxmJb4cS+VGwnywR5V6zNma3OmnS2n8rs5gSUZ3W2dKyltbsNK7DCJuOq0R1rUM0sC6a6wGwFb3jsZoKry/6fBT+lsK1jVjr17DzKKY7CG4qQzTWomekASC8B1eoukOJ7Ae88847CCFYt94xiUVCAsXFxQwdOhRoH9V7a0yYMGGH2y+//HKHQHF/ubPkjl0yf/nLX9oct7PxtltOa4tHqduspdbBrK5RJwgwbC1O/a1yTWFE01QRQulrEcvO0hqi902RlRqJFk/6fOpb/lrCi8eD8uBiuKoO6qrxRwuL9T2p1ToA0KFE9gNefvlljjrqKN5+zykC3Fc30Jw5c3a5P1bdLfT2r2jMvegotLOYyA+VyO7Gu3s5+8e+b11FrhqW1OMFc558dWSPsVoHQG2dSDQ7K0aWoMpFF6PQ9yY5yl5V22QpJabw4vUJFBtxGJbAg0VolcOTZ9ao69aoAh1KRDGampr45ptvePrpp3nngzcBkJH20ZmvWLGCsWPHMnLkSIYPH866deuAlkZXUkquv/56BgwYwKRJk9i2LUrFneBn6bIlnD7tdA477DBOPvlkysvLtzt/jHp+3Lhx3HzzzWzYsIFTTjmFww47jKOPPjpO/vj+++8zbtw4Ro0axaRJk+IEjk3hCL+86TqOPXk8ow4/jDfffJNbbrmFYDDIyJEjueiii7Yb729/+1uGDh3KsGHDePXVVwHHEps4cSLnnXceAwcO5KKLLopPQrfccgujxo1h4ikTuOue2/f8AewBIvuTIkTqeHRHOeqpqcrkGIZElyZq7RCIRBWw1xddtivKMApHuw0m5js07aqaRVmmDULD69PVV+DbGh7Nwm52ioBVtztwGweX820fsemSS3d7TI8Xnqfurbepf/vtXR6Xfs45ZJx7zi6PAXj33Xc55ZRT6N+/P5kZWSxdtoSjxo9q13ifeOIJfvnLX3LRRRcRiUSwrLaV1G+//TZr1qxh5cqVVFRUMHjwYK688krCzc3c9oebefHfL9B/dH9effVVbr/9dv7zn/9sJ6O0tJQ5c+ag6zonnHACTzzxBP369WPevHlcd911zJo1i6OOOorvvvsOIQRPPfUUDzzwAH/961954O8PkpqaxpefzCWrcyKNzU1MmTKFRx99lMLCwu1kvfXWWxQWFrJ06VKqqqo4/PDDOeaYYwBYsmQJK1asoEuXLhx55JF8++23DBo0iLfffpvChd/TWBOmvr5OMRFelMNIWso9gpbw4A03QEIqwTVrYXi+EjmmCR5MDDxq3WZBE6SNx6c7tZqKlEgkSlboidaJhIs2wtFd3ZcTpdD3JsRSvtVpEmdBIePMPh0V6x1og5dffplf/vKXSFty9hlTePu9NzjqiPYpkfHjx3PPPfdQWlrKueeeS79+/drs/+qrr7jgggvQdZ0uXbpw/PHHA7Bu3VpWr13FlIunoPt0LMuic+fOO5QxdepUdF2nqamJOXPmMHXq1Pi+cNjxc5eWljJ9+nTKy8uJRCL06uW0Qf3ii5k88cizAAhNJ3M3GU3ffPNNfLz5+fkce+yxLFiwgLS0NMaOHUtBQQEAI0eOpLi4mCOOOAK/3881P/sJxx19Eicef0q77tveQvodi8mj2aheflq6H19CGEzUdueLrnJNjweR6N/9F/YSRthCtyJoUfeSKnfWD3mmzBo1satIYzSA7/cgVGY+4KSVezytGLsPshTf/ykl0uOF9vU1zzi3fVbG7lBTU8OsWbNYtmyZ0/sjYiKE4KF7/tyu71944YWMGzeODz/8kFNPPZV//etfcUWxK9hSMqDfQD59+2OyemTv8tjk5GTnO7ZNRkbGDi2IX/ziF9x4442ceeaZzJ49m7vuumu7Y6Rpgmfv/dOtqep1Xcc0TTweD/Pnz+eDN97ljXff5+nnnuSj19/Zaxm7Q7DEYVHVzbBSS8SybGw0ErvkwWZD7aSRmUtioo1lJeMvSFEmxom9hFvSVFXFRKI8U76UKPecolsXqY/GXvwe0AyQ6jz/Fh68rSriO1J8OxDHG2+8wSWXXMKmTZvYsGYtS+aupHtBD76d275Ac1FREb179+aGG27grLPO4vvvv2+z/5hjjuHVV1/FsizKy8v54osvAOjTux/VNVUsWOQQMhqGwYoVK3YpKy0tjV69evH6668DziSwdOlSoC39/HPPPRf/zsSjJvKf5/9N9AvU1joBQa/Xu8NmWUcffXR8vJWVlXz11VeMHTt2p2Nqamqivr6ek44/kT/d8RdWrlqOFlV6KhCqdFa1uhlEKSdTINpJe4tTTa606lp48OdmYVZXE964UZkcrVdf/HnZ8dum6prM6GuVkJYUE6REjhHtw+JN9pE4eBC+Pn2UyLFtiaX58HjFbmmRDlQoVSJCiFOEEGuEEOuFELfsYH+CEOLV6P55Qoie0e1jhRCF0b+lQoh9Nwt+BLz88succ44zdDta63Da5DN57e329TF/7bXXGDp0KCNHjmT58uVcemnbmM4555xDv379GDx4MJdeeinjx48HwOdL4OnHn+eP9/2RESNGMHLkyHZlSL344os8/fTTjBgxgiFDhvDuu+8CTk/4qVOncthhh5GT08IrdeMvbqS+vo5jTjqC0eMOjyuxn/70pwwfPjweWG893uHDhzNixAiOP/54HnjggV0SPjY2NnL66acz/vijOGPqKfzx939pd1LC3iBWg+ARptrYS3SV65HRGVFlrUNlLcayJchgAKu+Xp2c2kZ0TOJaRJFfX+vhkEgm9XZcn6runBGt40nskoextQKzUk07bDPKfuxN0DrcWT+EEEIHHgNOBEqBBUKI96SUK1sddhVQK6XsK4Q4H7gfmA4sB8ZIKU0hRGdgqRDifSnlnueh/oiITarQkqb6kyuuJSUZknLSWL58OdCW6r01brnllng/9NaIUbkLIXj00Ue327+tuJ6hQ4bzwWsfkNVz5+6sHxI+9urVixkzZmx33FlnncVZZ5213fbkpFQe+ZtDW5+Vl4An0XFJ3X///dx///07HO+DDz7Igw8+2OY8P7z+1tc0f/586ktriJgaUmhKM1eMQBjQ8fo9hCx1nt5ItLrb4xUOa6tCmMLbIkcl7UlJOTIQxndsPygLxt1abiOwfhMCG81WS8BoJzqFf6kjhmK9/y6WreZ9iFXgpwweAE3R+M5BpkRUWiJjgfVSyiIpZQR4BfjhTHQWEPOPvAGcIIQQUspAK4XhZ/+12FaGNoy3Cl8Sadv7rYFTm3p1lUWAUjrSJCDVu5mS+/ZES0tTJiccq3VIiBXMqbl5Ukos4cXr0xCKnSSmpeHRbLxdnAQOqUiJhCqq0I0QQo/eOyVSoHntBgDsko1K5Tg08JDYu3vcEjlksrOEEP9ox/cbpJS/38m+rkBJq8+lwLidHRO1OuqBbKBKCDEO+A/QA7hkR1aIEOKnwE/B6Qh4IKP1i6FqlQY/UFbKsZ+UlSQ6CUaViSI4tQ5+qNiC1bTjpmGuyGmM9tSOpo+q0sCm0arWAZQuxSxbw6/ZBBcuALKRgQAkul95bcQC+PGqRtdFABCpd2IiHo/atzxU7bgYIwu/wz9iFCzdhJ6962SYAw27skTOAhbt5m+KqoFJKedJKYcAhwO3CiG2y0+UUj4ppRwjpRyTm5uraiiuoPU8obKvg72fqrshmjsfvzCF1lVUiaiGEa0NEIEGpKHOc2pEW9b6olXXaGpcJXFl5VfbaRDAxKl1iE25qixTM1Y8qcXkKMoCi1oIvrRknFC3GlUSK3D1JvqQMRfdoWKJAH+XUj63i/0IIXZVGLAF6Nbqc0F0246OKRVCeIB0oLr1AVLKVUKIJmAosHBX4zmQIRISIPqjlqEQJKvqi9GyLhB+dXUB4CgRofAH1gLB/vBoGmEbzQqjJXkgqE5OjKwwuU932NSMf/AgNXKiq+lYrYNSdxYeh2cqCmV1IgZ4MOJZer6evdTICUYAL76MZFTS+BrR4klvcgKB9RuABIzKKuh18FgjO7VEpJT/t7sv7+aYBUA/IUQvIYQPOB947wfHvAdcFv3/ecAsKaWMfscDIIToAQwEinc3ngMZdqglgqqSC6pNnMJS1ytcSglCxH3TKiE1HU2hCzAGM2K18EwpVIyRZkeGk0oMkS0/XFu5g3BslZukthskOGSFXq9QnmFkWgIdK850q6WoSfk2Qk6jKE/s/Kosq1h/9aSElnt3kIWAd2tHCyFygZ8APVsfL6W8clffi8Y4rgc+wemb+h8p5QohxN3AQinle8DTwAtCiPVADY6iATgKuEUIYeAQZV8npVSTY7efYBsGqtrHtpHTWlntoFbDLcRiPLH3XngUdhzUdTSvDs1qOYVEl+4kWAGEaFTLeBuMAB5023knzKrq3X1lrxCJ1jo4brOQsrnJtmxszduWZ0qRS8a0BT7NprnOmQ6C3y+DU/vt5lt7ISe6oHCseZXJHNG2wokJIKKeioPMndWeZeS7OG6mmcCHrf52CynlR1LK/lLKPlLKe6Lb7owqEKSUISnlVCllXynlWCllUXT7C1LKIVLKkVLK0VLKd/bi2g4YvPPOO6R2zopTwQPtooLf2faJEyeycOHCHR4bfwFV9yyJBfDjflx11pUdMZGh6A9MmRRnNe1UQgtUThx634EAJEa78ykrmAtFaxDSkmhO9yG77rwmZ18QCcdqHfQW/idVlojU8GiST4o/ASBgqCHNNA0bzTbYFqmmNlSDpaiM3AxF2Y+TfBTVR4tBD8EU3yQp5e+klK9JKd+M/Skf2SGEl19+mfFjj4hTwSvtiRGd3FUHouNyospDpesMQGAjhEB41blmmlavxy4tVp50FiqvQhMSUziWoq1o5SlyHKVR0z+TGquBWqmmtbAZDUL7C/JpiDQ4GxVdkyU9eD2SEXkjAPAKNUkJpmGjS+edtvIy0bIy1MgJR4keUxL5tuwbQC2DgQq0R4l8IIQ4VflIDlHEqOAfefD/4lTwKtFiCqt9EWMta4VQL09GA+u2kFi6uhnesjU8wqK4fqPSuxfYuBktEuS7bfMAMCw1brrmDQ6tShfTR0Gjl/QtDUrkxFrRpI4cxvyt8wF1nQ1tfzJJ/XvTK8OpXPfoatyolgkaJp2SO1GZECGQoOa9iyuR5ASG5g4HDj531q7qRBpxZgYB3CaECANG9LOUUqqrxlKAr19bS1VJk6vnzOmWwtHT+u/ymBgVfN9efeNU8EeOHenqOFrDeQEFSFtpeVksOcCWltLkKWk7AXyEQFgSgkFADZGgKXV8uk2CnkDYVEj9HbHRZYTqUA0aoAlVhXnVgBe/4vy54Banv4yx6nvykvMxG1EXWLc1/F078Ye5f6AX5yiTo3fvRWI0XtGtLIJATaMoy3bW8d7UJA7rdBhfbjrovFm7zM5KlVKmRf/VpJSJrT4fVArkx8TLL7/M+eefj5TEqeBVTu6xFaBAKq1cj7mzbNS6sWJ1LyL6pmoKSRZMqePVoSzPg+lVJ8cwJR5psC3oTL66omuKdWrcKqoIW2FCphqOlRgXmFezmXDa1QB4MjJcl2PbEtuShBctwKs5FkhTxN2FYQxGUwBdmry/4X0MK4Im1DwjT59+ICChSyc2NsRiIgcXje//DBX87iwGFWhNBS8tiWU7fv377/6jMpk/zJpSLUfTNCypzpkVU1aGbaD6dbXw4PVCp8xuhKvVZdKZhkDH5KphV/Ph93VYipISjKDjKlnUvAzwxydetxEnrkzyUbR2MZCCFQhCqrvxK8tw7pPHK7hy2JV8+tE2fLqaGFloayU+o5meaYdR4ylDVaAsULQJHYuGQC0fVM5iOH0RCWrru9zGXqlXIcQStwdyKKI1FXzhN0sonLOc7gU9+GbRfHVCpQQpsRWvZmLuLK8in3RcTjRg742mEKu8LlPzYmsGoRUr0MLqKtZNW+ARNosrFwMQVJRhZIRNNCvMqcPOIcGTgK4oCB2rwA94I8xf+hEAMhxyX07UstJ9Op2SnaQBn66G/cG2NXTNZljuMEzbwLLVvA/himq0SBCPx8eQw04GwLsLZusDEXulRKSU7WvN9z+O1lTweL0IXeO0yWfy1pvtD7B//vnnFBQUxP/mzp0LwGmnnRbf1roboRQO2Z6lga2wDjBmiYTs6GShKiYSpdDXdV2pX9+2Jbbmw+PTSPImqq3ujnYbXGE51HJJ3RVVXYdtdCtCblpnBGAr6tBnBp3YQVp6BgUpDkW7Cse+Gevx4dO5Zua1zkafosA6GrE6Wo/mUWbaW6aTSpyckMLJ0mEuiJSWKZGlCnu0NBFCJAPnAudLKU9TM6RDB22o4NGwiPCTK64l2W+TnJ+xWyr4iRMnEgxuz78xe/bsHcqbOHEiDVVBNCxsIVFa3OjxAhYmZvQlUpSNE3VnSeEkDKjyTRvRiTA5KQmzsQKVeb6m1EnWJKuDxUzgWPzZeWrkRGMva2rWEDJDypq8miED8JKals7Q3CEsrFfzNkQCzoJF93nolucUGFYrogex0PHo8Hjh4+hmhETPrls/7y1ME3RpYUubdWXLgD7YIfetOJXY7S9SCOETQpwjhHgdKAeOB55QPrJDDNIw0GMTokKXjBUKIy0Tj2GhKSQRlJqjoHwJUbZbRbQksbqQBk3tDytGVpiQlky6z3322dYwpdNT+95+NwLQtLRQiRzDkGiYvLXuLUDiUxQTifXEsPyCmqC6nhhmLPbi93D9kGsASC2rc10OOPEx3QMj80aS6FHH6GxZzjNaXbOaTzd/Chx8Kb47VSJCiJOEEM8AG3HYep8HaqSUV0gp399fAzxU4JAVOlBV/QogTQssE9u2lOYK2s0BkJLkZGfCFboaf7sdLUJIT3ASAlXdO0s4ymrroHQqgluVZibYviT8XfJYXuNYok2RRiVyLAt0bK4adhX+pDQ8iUlq5EScZ7Q+vIl5FerifUaMZ8rvJVl3gs/eejVMmbbwoHsEE7pMwLANTFtNFqIV5QLL9mdzeKfDnY0HWXbWriyRGUBv4Cgp5cVRxXFwXR0HTvWnRBBlr0ZXVBfQIkctHbdzbolAUlfvpKnKiJr0UTscpYXYyavq1vMNlm8DIK26gVRvqrLKCiklJh5Shg7ku/LvAEjU1ax0tbzO+Lt2Ii8pD1nQCdmjQImcmCXSu3M/eqVF4zsK3r2YEvH4vZz97tlRMe4LkrbE1jx4PBqmbeL1eEBT85u1bNCFTX5yPmO7jHXkHyBzVnuxKyUyGpgLzBRCfCaEuIr9wSDoIvx+P9XV1T/6Q4kx3prRntpCZf0GziJaE5pS+g7nlsp4HYey7nxR0z6CCbqGN7ml0FBKSXV1NX4XKO/DVXUAdBaJWAq7MNumRNqSyNJFFDc4FeWq0lQtzYsvPYUFWxdQu2ktDRvX7v5LewFvv4HouiAvryeDsh1eMBUrGMt0zulNSeToLkcDUBtyvwjQNJ13WvcKbvv6NtZ2tfF1VdP0zrQFurAxbIM1tWucjQeZO2unPggpZSFQiMOmOwG4APAKIT4G3pZSPrlfRrgPKCgooLS0lMrKyh91HNK2aaqNIEQEKX14PRb+GjUU1k3VAbRo7wiJoDK4TYmcQE0ztgThtbCNWvzVAm+i++mWofoAhqkRqWrCF0zC49FI3NaiNPx+PwUF+77CjtU6+FL8ZPgzqWhSo4Hjq2lh86cj/8QHa6sxFaWPhkrK0Gjm6eVzOSw8hmRFrYUj1XXowqYuUs+2QCWgphZZ69QVqCX1sBFc7+nGW+9vIMnjvovOjFpW/s55TOoxifLwNsxmNZQxttTQo4SSn2z6hMH0O+gq1tvlyJZSzgHmCCF+CUzCoWw/4JWI1+ulVy816ZN7goaN5bzwyCp6pG1kU0MvehSs5/Tf/1SJrCevfo9ETxGBoCDR04lLn56uRM5r17yEYcKwY7P5eo6X089Lp8ck95srff7711izLZ3j7+nGl7esJcNfwfTHrnFdTqxR1IL6xWyMbCNV9HVdBkCkKdp21aeztm4dkEV9WM0EZUkNj0fyx/F/5LOXZ8bdqW4juHEzBHx8WvwpX4YWMoQ+iET3XXTBTU5KtFW1Db2rY735dPcL86yoJZIychjjenbl6YoHsYWaeJJMzSQxO4N+md2p73okdXWHkDtLCLFdxYuU0pZSfhrrJbKjYzqwPWJ9HZKTnRcx26+ua5klfOSmZCGIVXmrgWlrCAze3fAuQKu0AXdhRJxah56ZvREKOaCMqBLJz+kMA/soyzaLZRiZusGXpbMBSPEqCnijo+uQn5yPRF0Bqmk5LWsndJ3AkEGOm0mFEglXOH1XGpq2MvkdhxPWsty/pnCNo9Qjy5cSNIMkeHxIRXFMW/OQ0DmPfpn9GNtprBIZqrGrmMhH7fh+e475n0e4wckg+aL6KwB8WWr6wVuWja37SPB7SfImKSP2A6evg67ZBC1nUjRMNUy0hmHjkQbfbPkGgSDZq6iTXcBRuCN6jSGlpFoZtX2s1sHy2JQ2OR0NlVVdC0eJfFr8KSEzSNhSk/zgMN5adEvtxuHbUgGUNNqKMd6mpKVzar/TQdrUhepdlxNrWauZES7+6GIMGWYv67J3i0hdE5FF8wkYAZYkRbnUunZVIksVdnVnRgghGnbx1wjk76+BHsyI+VgLujsFUsGCLCVyjGg71CbZgC40pVlgpvTg9+qMyhsJoHSC0qXJnd/eiUQq8xcbEUeJeFOT6GylKLN4zChFSHZaNncf9Sdnm6JCTUt48HgEDy58ECGEMmXlpBJbbGnaQkVzOaDGJRP7HaVnZvOrsb9BSBu/cN/iidG4eP0eLh50Mam+FKSiItdYKvFTy57ixZX/BUBa6hI7VGBXLL56lLV3Z3+pUsqDS2X+SBCdncDvwKFHAFC9ZIESObG+DkszqtiQL/F2U5PSCWBpPrw+jcG5QwBI1NS4ZAwTPMLk2cnPgrRpMtSwtlphxy3y91WPUN5Ursxx1tIO1ccar7Nar+vrvmUqpUPjons1Xpj8Aol6orJqf9MW6Ng8s/wZ5kd7pNiWAiUScZSI7RdY2GheneTe7hOrtqQS+zin3znURmqwFbwPrVOJjy44motSjwfALNniuiyVUMiu1IEYmtdsACAzGqLIFWqyVyIhR4tMHn0OenOI6mp1L6OdmELNsHxeXfMqgLKgrUzNxJeRSs+0njiRF0UToWGBtBnZfSzpCeoq1s2gM0FVWlV8sszhUMuodL8aPxYc9ng0OiV3wsaOp2O7LssW6JrN9AHTGZ4XbaxkuO8ONA0LYRsUNq7khNdPwNYkptf9KvwYF5gn0UtdqI5kX5KSmEgsldjj1RiVN4rDOo0BDqF+Ih1wD6FyJ8X4rwv/AqjriREoLgUgYfMWujclkNysxq8vbYkZsUmuqaMk3/lx2d0VGaUZOfh7FfDRxo/QhCBZURBa79YTj0dw+oAzlbnmoIWjK6SHqal1lLxe637FegvjrcZra14jZAYIK0q0sKSGLiT9MvvRL8dx2VoKKHdMw0a3DXrnDmRa/2nogQDVhQtdlxN7Rt6kBI577TiksFsa2riImHtO92nUh+v5vnopAJai6nhV6FAi+wGRaND2yH5O5kpAFfV3lP+pKFSErunqyAqjPuPcoM1J2RMACNSqqcUJFpcQWbOSO769Q2nqoyU8eBJ0pJRkJ6qJWQF4evYBYNRRZ3LXhLsAMCz3J3cz6jbTkn386bs/EcxNIaFrN9flQJTxVpesrV1LWdBhoLUi7k+ElmGj2SZdUrtww+gbEEgSNPdTfM2oAvYkJnDT4TeR5k9DCt3198+IJll4fDp3fHsHH2782NlxkBUbtoeAsY8QIiH6/4lCiBuEEBnKR3YIwYi6mcb2cybcRkVcSZHo5D6rajYhM6jMrx/vZOf3MApnYkqsU8NhZFngtU3eP/t9Qj6oSVeTLNC8fBXU1XDhhxdSGaxSsvKEljRVzTbYWOd0smsIu59hZGtOCVjGhPF8Me0LCnJ64lVkxcmEZBLysrlv/n18vuVzZ5upwBKJJlnUh+tpMprQpI2uoFFZTIl4U/xcNOgivk90sqZslyf3WBaYJ0Fnav+pnNPvbABliz9VaM9o3wQsIURfnALDbsBLSkd1iCGmRLJynGS2HH+OGjnRWofrj/xllDROTZZHJKpE1gfW8+qa1wAQil58S+h4dEFBagFWkg+Rryo9GjRMzux7Jmm+VCUywLGsAOYVfcaHxU6GfKrP/RhZuNJh05UlxeQk5hBev4bgps2uywGQCUkkDx7Ab8b8huN6OMFhS0FMROvUBV92Ou+sf4dT3jwFgY2pIBXbjP5etUQPlYFKcnoNAMA23Y0pGU1RQskEL0cXHB1PUjnYgiLt+eXbUkoTOAd4REr5W6Cz2mEdWjAiNpoV5qKPLwLUcWdFoi6MjOwckhXWicSKJ5OSk+Nkj2FDDVW7LTxI3eKd9e+QUm+QsWarEjmxNNULBl5As9GsRAa01DrUiWbqwg7vk0e4HxyOROMswdpy/rvyvzRG6jEUFRtGmgJEvi9kSPYQ+uU6MRHbdH9yt71+vGkpHNnlSC4dfCm2bRI03I9f6VGXY2224PjXjyd3TdQScTnOY4WjbrNkP1ubt7Jkm9PpMmKqKxJWgfYoEUMIcQFwGfBBdJvanqiHGAxD4rEjXDzkEgCaI2omKSPovHwzKmfi1T3KrIOYxTOw00CG5AwFFNaJCC8mYf4494+o6+TekqZq2iYZg0cok2NEYwXnjpzKnUf/AYCwgkLNWJpqQAtx/4L7SfImoitQVlJKbOFFM8Ms3LqQ9QXOosLbo6frsoLrirA2rqdvZl+uHXEtugCv5j55ZaTOqVjPSs7kjiPuID3RsUxjlPeuId2JvaUfeQRXfXIV7218DzjoDJF2KZErgPHAPVLKjUKIXsALaod1aME0JDomx3Q7FoAmxUrk0fX/UpphFE+B9PsYku2Y4KkKXEC2LZGah7SkFD477zNsaSuLJ1lRNtXxL42nPKKGtBLAitgIaeFJTmJTwHEvNQTcj4nEAutdsrry9fSvSfYlggLLNJ5K7BX85svf8NzXfwcgUuF+okWM8baiuYK6cB26ACHdv6Zg0SY02yBdT2LagGmsqFkBgO2yEgmWOxaOtbWUXx32K64Y9zMAPMlqm6K5jd0qESnlSinlDVLKl4UQmUCqlPL+/TC2QwamCTomSWlOi82Cw49VIicScmodPrtsNiEzhKUoJmJEax3eKXmPjzZ+qEQGgBlrQuTzkJ+Uj0Aoq8K3omyqPxn+EzqXOu46twOp4NQGaJbBM6uf57MtMwFI9qTs5lt7DiPkKBFfUgIZ/gwMO4yC+r+WVGKvzj+O/wfX9jgfUKNELNt5Ro8VPsaFH14I0sJS8YwizjMK6jblTeV0TnUoAm3DXTdTpNJxZ2rNDZzY40SGjnDiSd4CNVl0qtCe7KzZQog0IUQWsBj4txDib+qHduhAdO5GKNPDlHfPcTYE1fBM2V4/ujRJTUwnIbcTJKnJxjGjFk+XnK5o0WY9QdP9mEik2cleCYkgr655FU0IkhRlGMUouX86/KfUReqcbQpqHSzDRpMm9ZEGAn5nFZ/YzX2m6Zi1WCVreW7Fc9SEq5VkjsZb1ibojMgdQd8ch/3YVhDwtnCe0dT+U7lsyGUECRHSVPQtsdGkwdyKeZz05klkpziJMG4nC8TqUfREH0X1RXy16HUAGtesclWOarTHnZUupWwAzgWel1KOw6GD70A7YWleUrOzuXbw1QDUrFqqRI6n30D01ESeWvYUqb364M9Wk8kkcp0ss5PHTqNHWg8AQgqUiBmte6k1a7hn3j3ORkX+4hjjbdAMkpfi3DcVSsQ0HcbbG8fcyO+O+j0AoST3Oa1iAfzNxhYeWvgQOYnZoLmfDhtLK9e9Gl+WfMmGxiIApMuZTAB29BkNyx3GBQMvwNe7B/4+/VyXE3tGA7MG8scJfyTJ5yxc7Ii7lkgslRi/zlnvnMWXxU56tNWoLrFDBdqjRDxCiM7ANFoC6x3YAwSKS/FvLo3HRJoV8T8FVq9DBBp5ePHDhJYvxyhXk8kkEx33iy8nkxHRAsqc/J7uy0ly4iyDTziL2dNmY0mLBkNNTMTWfZCoM/bFsYTtKNOu24FUoqnE0c6JRVXOirN2oft9yWNupmP6Hsd3F35Hks+PVFBbbEatRctrcf2s63lp3cvOZwVKxELHo0NRfRF14TqSawNQVuW+HNN5RgWpBZzb71y+3foNALbLlkgslTghJYkHjnmAK0dcCYB+cDWQbVelzt3AJ8C3UsoFQojewDq1wzq0YOFBaAH8HmfFmZuYp0ROpLoOPZzAwosX8t8vH8eWamjTGxcWAqn8/O0LGZN/Gh764O3kPqFzpM5RGF7TJDsxG02CLtxfTYOjGJMP686vh/+axI1Roj8FlgjpWfg0h5U425OBh5EkKSCvtKKUGgmpSSR7kwl4DaSCPuGxTL3kpGRePu1lQotLmbdJTYqvJTzoHrj161tJ9aVyXN3RCI/72VlmNN27OlhNs9FM76zelDW6T+ViRkzAR2J6CpO7T6amYR1QokQBq0R7AuuvSymHSyl/Fv1cJKWcon5ohw5M4aHOqOLGL38DqGt9HktTTdATSPYlK6t8jVFajOl1BCklTlFb7XL3XXThcidLatO673htzWvoAvy6IrbgkIGntJQrh15JecChM4/l8bsJkZ2Hv0s+zUYzHp8PYVtKMoy0KMVJobGWZ5Y/w5ysKiI+9xVwLJXYl+hnaM5QemQ57k3pcrMoJ5XYYby9acxNnNnnTAJmI4aK2Es0C+zl1S9z+tun0zfXKTZ020Vnhp1EGDNBsLZ2Ld9smwNAxFATM1WF9gTWC4QQbwshtkX/3hRCqOMYPwRhCy+ZyelcOPBCAGXFbJYlEBj8c+k/SdD9yupEYpTcPz/q1+QmOF0aQ4b7tCexwOPa5rU8tewpEnp0wz98uOtybFsi0bDrqmmINFCQ4bzeUsFqOrBmPeaGdfx14l+5ePAlCGlhKCguszQvQsBXVXN4atlTTLL74THdX75oeU7dsRzak883fc66Boex2u3VtGU6JIje5AQO73Q4k7pPItmbiKbAMo0pkRN7nMi9R9+Lf4xTN6Tnu9vI1TQsNNukKFTKlPemsLphDaCGRl8l2jPLPAO8B3SJ/r0f3daBdsC2bSewnpjCiGgDJ2U9MaRAYvB44ePYUh0TqEPJbaIn+BicPRhACX16LMNo8sDTePPMN6msKGLL+mXK5DRa9Rz58pF4PU5RnoqYiGlKtCibblF9EUJaBCLuE3I2L1uJZoT43dhb+GLaFyQ0BlFRsB6prgOgtHY9v5r9K97b7IRN3XZnmRFn8OnHHMnSyqU0RBrw6V5UcMjKxBQSsjMYkDWA03qfxjOznIqGyDZ34y9mxEa3I3TP6cvfJv6NC4ZeDIAuDz3urFwp5TNSSjP69yygJu3nEIQdioDQMLVIPCaSl6imIaQlNRI9HgovKaQuXKeMUto0nIlw3EvjWF79vbNRwQQVs0T8ycmk+lJJDVr4axWkEkezwFKSUvjtmN+ipzqxJBUpsZbU0TWbSz++lPV16xFI/Jr73fksQ6JJA03T8Ok+Gsx6pOY+E21ws0Nn31dm8MYZb/CTo24AQM93lxkpxnhrbtrA5R9fzgsrX8CSESwVzaJSM0ga2I+SxhJKGko4IsFxZxm17haFik5d8KYkkpmczYk9TiQn1UklthX0jVeJ9tiC1UKIi4GXo58vANxvoHyIIhJl6lxZv4LZhcso4FRlsiypoeugazop3hSaIopiIqaNLk2m9Z+GucxRVE0h97OmnDRVDwvqFrGseCsJmgev5v41GdEMo7TkVE4Yci73LX2cVDLQM92nhLfQ0DSJT/OR7EmmVpqgICYSS1N9a91bAGxpLkVjIFKCm9RtDrmoTnJaGj2zBhD0RYCt6NnukozGWj/Lmioeu+AxbGxWhOfi9bpPXhnZVo3RXMwDC+ZQ3lTOfXnXU4KNdDmwLr2JeFNsqoJVVAQq2FS+Csg69GIiwJU46b1bgXLgPBwqlA60A2ZUifTL68cpfRwF0pikqF8zOoYM8sTSJ/B7/cqIHs1oCuRNh99Ekt9J9w2GFdSJRNNUZ277gg+LPkQIiZTuX1OsYE56JTWhGsYZToOtSJSWwk3YePB6NJ46+SmO7HokQlqYCvqJWJZEkxYfbfyID4s+ZGDOQGe7IhLBSruaGcUzWLd5EQBNCxe7KidGm+5N8DCh6wTG5I8h058OCmIipq0hIkGuGnoVvxnzGyzNsQzcLjZsXrUWa8tmZm2exfkfnE9TgvNs9D59XJWjGu3JztokpTxTSpkrpcyTUp4tpVTDKX0IIka41zWvB32jP+Tqzu67L8BJgQzLIK+sfkVZK1RoYbwFGN7JCXSn6e5zZ8U6v/3lpPv567F/JWA0ElJCVugokbXNazn21WPJtZxGR0aT+7EKS+joHkcRbmrYhI1FSEH8yklTNXnqpKf490n/JtHnuFKly3EeI/qMFjUu5bdf/pavK5yaCsvl9y/WCI0Ewfzy+QTMAIneBCW1L04WGIzMG8n4LuN5ZcMrQEtcxi1YlkDH4qiuR/GP4/7BWX3PAsBrH1x1Ijt9AkKIR4QQ/9jZX3tOLoQ4RQixRgixXghxyw72JwghXo3unyeE6BndfqIQYpEQYln03+P3+gp/ZIg0xyVS2z8LT/Qd7LVFUdvaxBS6jRjLF9O+YFUng7pUNTUVlvAgNItRL4yiJOT4xFXQXJjRCc+XmoRP9+HVdIQC7qxYmmr37B7cccQdhIhaJirozDUvFhEu/PBCmo1mvJ1ySR022nU5sQwjcJocVYWdoLDrlkj0GZ069EzeOesdpg+9MLrD5QZO0fhYUAS56tOr+GbLNwQKMiHFXd4xaUtszUklXlW9ii1NWxjXfSwApssp35YNurDoktKF47ofh1fTQdqE1h5cZXi7mmX2qXmxcH7tjwEnAqXAAiHEe1LKla0OuwqolVL2FUKcD9wPTAeqgDOklGVCiKE4xY6KmnirRbDEmWT/+8VDTEg5DuiHHVTTe8OywJeRghCC3loODZb7dBoAnj798YYDXD7kcprKmoEkmoMK0pYzsmGzxdMbX2B05HASvX4itopahyjjbXZXjhlwLE++exdwjOsZRrZlI4WO5oU0XxppCWl4mjZjlQYBd+nnLctRIo8VPsbArIFsbCzCxyDXlYgRsRG2SWZGPtl+P1bIebfdzumIFTVmpmfxn2P+Q5IniSeb3mCgnOCqHNNwFK/u0/jVF79iTKcx3NBtGhuodt2dZdoaPiHZ1LCJxkgj5Q1bEPLg6yey01+klPK5fTz3WGC9lLIIQAjxCnAW0FqJnAXcFf3/G8CjQgghpVzS6pgVQKIQIkFKqY7fXBEiVQ5T5/Tup9IlfxhfUUtjpMF1OZZlY9uwZdEXvDJ6BWmVJo0BNTGR0JZyfB7BL0f/khl8BoDRr4frcrROXdFXlvLk6meRHo1OIl1Jy1+Rkwc0YRRkURWsYmj+MJYUuZ/ia0T5rFISk3nixCeoD9czv3GZEhedJTV8wubtdW9zcs+TOaLzGL7fBHbYZUvEsNDtCItrl1EbqaNbUleEtLBctkxjadhJKSkM6HQ4ESvCcfX5bHX5eozoM/d4df505J9IS0gjss5ZILluiURJP59f8TwzN8/kL0feg5CNSlKxVUKNv8NBV6Ck1edSYNzOjpFSmkKIeiAbxxKJYQqw+GBUINCyyu3fqT+JyXlALUHT/cK8WAC/xqzm+9LVnCrGIVU1paprxKOFsaXNuJzRbGApGU3uT+6NC5YgwsksungREsnT4X+ga+5TxsTmu2dLXmLDtnXcn/YrIOJ+rYPhuHjSJzjukdKmUkw7oqTq2vYk4PGazJzq0M1/X74MNlVCgt9VOU66t8nr695gedVyzul7NkJ2d71gzoxS2wc8EeZsmcPIvJGk+BOxDXensNasxGM7O8/pNysvpzeXxpka3EJMiVw8+GJO6XUKh3c6nGXyQ7SDjDvrgK5qEUIMwXFxXbOT/T8VQiwUQiysrHS/f4EbiGUYlZlb8UV5fvIUcGcZ0Za1I7sM5/FJj7M1uBVb0eO1pE7YDjDy+ZEEGxx9H95Usptv7TnMsIFmRxBCOBQueVnYqe6ndAZWrgXg9LSxXDfyOppsZ+Xpdk9tM/qM1m9ZwrT3p5GZkEmC7kEX7vM/kZFN6ugWF9nq4EbA8fm7ivQsPIk+bh17K0+d9BTnD7wAYVuuZ9EZUbLCDeEirpl5DSWNJTTbjUihu9r3Jdb6WffpLNi6gG2BbUw+7DwARI679V2G8OHTLXql9+LwToc7MqTt/jNSjPbQnmTv5bm3AK27qxREt+3wGCGEB0gnWoMSpVZ5G7hUSrlhRwKklE9KKcdIKcfk5h6Y9Y+xFdT/rXyUFfWOJ09Fs6NY9ooe5UfKTsxUZolY6CR4da4ZcQ0VYScNtjnsfkzENEGXJn9d+FfW1Kyhx4DD8Kft7eu4CzlRl8jQghEc3/145lbOA9yvug5Hq7uTKqvJT8on1ZeKLkAFm1qkvolw8Tr+/N2fKdxWyMYFjtsxvM3dEi+R24mEvGwy/Bl0TulMii8FTZquWyIi1yleHDnsOJ6f/DxJ3iTWNTjK302KlVjsBZ/kyk+uZMbGGRw3eLKzLdm9BYxtS0zNj88jWVa5jNU1q/ls02cIaREx1TSTU4X2zDLfCSFeF0KcKvas8GAB0E8I0UsI4QPOx6FPaY33cHq3g1N/MktKKYUQGcCHwC1Sym/3QOYBh9gK6udH/IJemX1A2jQoKMyLKZEVDSv4pPgT0vwpSFVdAIWHpIQEfj7y59TbDoVLREUDJws0TF5d8yoljSWEliwmUlbuupxYrKKKWqqD1Yzp7KwK3bZEYhNUQVZ3HjnhEWxpY0nD9XRYcJpfydpKPin+hJLGEo7v6SQ4SpcnqOYVa7BLi5lRPIM5W+awumY1QpqYLlsidtSKz8nvyqi8UXRK6sTQ/KFAS7zEFUQVRfrYw3nqpKeY1GMSdY1bEbZF81L3KHfCAcdD4U/xcf+C+/nrwr+S5ktDYCNtVRStatAeJdIfeBK4BFgnhPiLEKL/7r4kpTSB63Eyq1YBr0kpVwgh7hZCnBk97GkgWwixHrgRiKUBXw/0Be4UQhRG/9TwpytGLDg7qscYkr3JCGkRMtzPzopNUJuCm1hTswYTU5klYgsPmg6GbTC22xEAJCtg17Us8CCZf9F8JvWYRFlzqRKai1gq8e8W3s7fFv2N7gNHAeBxuU2pGW0r7El0rMWtzVsJm0FMly1TKSWW5sWf4OPr87/mjD5n4Pc7sRDXM4wiFpoZ4YnCJ3hj3Rt8V/YdlakG+oCBrspp/t6x4ou3Luer0q/waB4yUxy+tlgbZTcQrHGSXhJ1ybjO4+iS0oVbvrsTzTYwXVxUhJocJZJ79mTuOOIObhpzE+M6j0OXFhxqMRHp4DMp5QXAT3Ash/lCiC+FEON3892PpJT9pZR9pJT3RLfdKaV8L/r/kJRyqpSyr5RybCyTS0r5ZyllspRyZKu/bft8tT8CYsVYK4NrSfImIaQk0+c+nUZsgpo+/HxuGH0Dm5s2gdCU8PDYmofy0BbOePsMNK8zIapgHrVsgSZaxp+akKKmsVLEBmlz/YQbmdp/KlVmHYDrmWCxepQFtYu45KNL6J3emxRfkutMtLYpQWh4vC33qqjJ6TjodsaZZQt0zea5yc9xxxF3MG3ANApEKkapuz9X07DQrAgflc/kxtk3YtgGVREnHhcrFnUDgc2OezZUupY5ZXOoD9dzybDL0KSJZbj3WwpURr0RJRsYkDWAAVkOP5fP78Hyux/3U4l2xUSEEL8UQiwEbgJ+AeQAvwFeUjy+gx6xjI7r5/6KhnADemICvsFDXZcTm6A8iY7Z3znV8SG73tLTMJFCJzM5gyuHXsmGgBOuCoQVVHdLDTC4b/59VAWryErMAAXWlWVYaLbBcX1PZGTeSL4sfBOAwOq1rsqJZeqlpqbRJ6MPXt2LrgkFQWjnmYcJcdecuyhtLOX7GqffS7wlq0uwpIYuJOkJ6WT6M52FUn2dEsZbzTa4cMTlPD/5eZqMJuZWfefsC7jnzgrWOwqpylvDNZ9dw+qa1RxTcIyjREz3FkoNZU7qf0JzJd9s+Yai+iJmbppJUUY94YxM1+TsD7TnFzkXSAPOllKeJqV8K8rmuxB4Qu3wDn7oPXsDksdP/Rc+3YdhhdhW5T5rjBXN1n6vYgaLKhaR070v4H4QP5ZKnJOazbQB02ggmkOvojmQ1EAYvLf+PYJGEE0TSuI8ZkSi2yara1ZTF6rj6F5OG2O3GysZ0SSLsb3Gc9eEu6gP19Oc7UdmuTtpxOhaTN3gq9KvaDaamTpsmrNNgRLx6JIXVr7A95Xfs6p6FVJGcNsAjhjgsULkJecxOHswab40Thp8mjMGFxMggg2OEunbZyjPnfIcg7IHURmoRJMWbr7ijVsdt1lqfio3zr6Rt9e9TUZCBgXVISIlB2am6c7QHiXyeynln6SUpbENQoipAFLK+5WN7BCBJbx4vBrjujqxA08ojFXkfjqs3q0nAHMSiqgMVBLu5mQxSc3lPHrLWTXrvboQMkMcUXAkSBu/UEBnLjWSvD7mXDiHbmndWFe/FltFTMR0aNOnfTCNdze8S5doUyq3A+tWNMnCl+zEJyoDlayUJYR0d62rWJJFXno+s6bNYkDWABKTHXp7K+xuYaOFjqZLHljwAHPK5rCwYiERK4jlcnA4Ygi8dogFWxcwr3weHs1Dz2NOBECku+ceDjVF8BhNZOR1ZXT+aNJ8adzx7R1IO4Llosu2flszHiNAUtc8njvlOS4YeAFjOo0hyxSYEScVu3Jz40FBC9+et3c7zivgVrcHcqiiaekyRLCReeXzSE9IRwdSPO6TFQZWO3w7TxxxH6f0OoUVXzkU4KbLPRBiq7GXaj/kd1/9LlrDAXqugryH7DxSDmupdchOylJiidg+Px6P4P+O+z8mdpvItoizEnT7B2xEK54fXf0Et359Kz3SezC+LgO90t1sPSNaMOf1tywgljY4fV9MtyvWhQePLph7wVwuHXwp0wZMI82X6HqNUtjQ8BHhqWVP8Y/F/yBiRShc+jEAoVL3Mvaam2z84TrKtSa+Kv2KiBXhsiGX4RG2q4qxpjJCcnMZ3k6dGJQ9iC4pXQDweSVBLYUP//k9r/1lAV+/euDzaO2KgHGyEOIRoOsPyBefBQ6uROYfEZYJwja4+aubARA49CRuI1zp9DqPsev2Te3uyDfcdV+ESsoAmBQo4Jx+57CqehWmbhPMVdDZMBCmqqqIP3/3Z6SU5KfkK8k48/Tsg797V07ofgI90nows+xzQEGyQHTF3KWgL30z+uLVvHg9OrbL2TixTL1yo5zff/N7IlaEWTVO/27bxSC+kwXmw+sRpPhSSPImkaAnoOuxeJZ7iFgaPt3ijxP+yL1H30vQDPLRMqfFUaTGPRqhQEiQYDXx1dZv+PnnPydoBhnfZTw+LAzLnWuKhExqGjykNW8mnJbIp8WfUt5UzuebP6c84MSuNi2rxpugs/q7ckyXM+rcxq7uShkOCWMIWNTq7z3gZPVDOzRgWRIPNo+d8BhBM4i0TYKmgt4b0RXmw2sep6ShhMxkZ8Kywu6+gLEAft/8/kzsNpFmoxlPxCC8REHb2oiFXbqJr0u/dnqjaE7WkdsVvYENxdiV5SyrXEZTpInJ/Zy+L267s7Rcp0f3VUf/nKuGXeXERMwG11ftMsXJ7qnu6mfe1nnoQucP0x4DwNOjt2tyjLDlEEp6DJ5a9hTF9cWsrF5J2GrGdluJSB8JXptOyZ3ontadFG8KPxnjEFmYLrnopJQ0Gz6S9TCn9DyFF099kRRvClubt6JpFqbwuiJn2exSbDQKEiqpClfzmy9/w8KKhWT7s8lK2kpO/UqOOsxgRM1HmBGbrRvc9Sa4jZ0+aSnl0igJYx8p5XOt/t6SUtbuxzEe1IixqQ7NGYotbSQmlgI/Z2y18n3TSsJWmKDtBMCly4ygMSUS1iMEzSBjOo1BlzY+250fWAwOJbeXzml5fHLeJwC8nqqm4t9oCCAba7nwowtZUb2CgmyHTNJNHzhEucCkhWY5Cr86VE1leKur1gEQzyI6bshkPjvvM3RNxxNy3ofmNetdkxNqdt4teeQgHl78MMUNxRRuK6TBqMVyUTEaEQtD85Oc7uPT4k/5vvJ7dE2nS7YTu3LLRddUG8bAR3pihOzEbIbnDkfXdP703Z9Y0cuArH132ZoRiyWfbianYTWd+mTQObkzb575JscUHMPIvJEcPXoyw5c8hu+vv6LbscMAqClXwJDtInblznot+t8lQojvf/i3n8Z30MO0BWBQuK2QZG8yPs2DX0FhnhlNJX5j+jv0zezL8trlgPt1AbF0yidWP8Ezy58Bonw/LvfujsUPdG+Lq2e8x8k4cz04LDW8muCxEx5jQOYAthhbne0u1gWAUxmvWRFOf/9s/rn0n/RI7UH/7H6uK5HAOocny9pcFN/2WbETPzCq3Vv/BasdtoKCxHQWXLSAI7seydQBU+mW3tXVa2qudRYunadM5i/z/sJb697CsAwWNzjdEyNBd97xLWude9N5VA9WVK/gq9KvALhiyBUMMzII1e77ZL5hSSXhgElB0SckH3MMPt1H/8z+pCc47uCUY44Gj4eUE04gffRghLRpKD6wS+R2tVz4ZfTf04EzdvDXgXbAsgWGFeDxwscBEEhU8KtZhpNHHyv+G5Q7KLrdZXdWlGLi5EGncmzBsaypWYOUFmGX+0LHyArLw2X8c+k/AegTimYYhdxXIh4djik4hgx/Bh+UzkDYBjLB3YwzK2KjSZMjC46iT3ofdE0nwedFarqrQfxQk3N/5tbN5YEFDwDwQdlHQMtiww00b3ESEPTyTfg9fifGo3lJ7NUD6XOPLbh+izO5e7YW8fJpL3P9qOsJWSEeW+u8F0Zw361taUuWfl5CWrafvtdO5/U1r3PXnLsAGNNpDOm1jbjB7LNlTS3+FC9D/3AdaSeeSEVzBR8WfUhdqI5Zm2dxyvc/w//RixQ88g+8WVn4IvU0lhykSkRKWd7qmIpom9xNwDZUMMYdorCkRoovgduPuJ2wFca0Q0qazjiU3Aa/mf0bIlaEnJQcAKTbTYiidQZH9j6aITlDCJpBhLRcdzFFommqjbKBVdWrAJDR6nXL5QJKCw2hWSyuWIxhGUwbOB0t0YenTz9X5ZiWU49y27jbOKnnSdSH66mIOFaPm1lToUZn5V7pq2FjvWOV/PvMZ50+Hy5aV03bnKyypuQgTyx9gtpQLSuqVrA6qdrVwPq2NU4VeapdR+eUzuQk5pDkSeLxs58CabtiiRQvr6aqpIlui54nvH4d1428jn+f9G8AShpLkB4DKfR9vn/VRZWkynpSjj4S4fOxqmYVt3x9C1uatpCflM/x3Y8nJaczQtPwdumC12gm1Oh+vxk30Z4n/TrQ+s5Z0W0daAdsNHy6Ro+0HkgpCSTYRJLd7ekA0VoH22Bd3To8modGy/mBu22JxKyAOq2RkBliZN5IPELgcZnO3Gx0fPiHFYzmH8c73Zi/qfjaGYMLK8/WsPAQlgEum3EZDZEGOiV3whMOEVjlbsW6ZTp9z2OoC9exocmJUZguUneEmiII2+CnE3/NPyc5q3UtIQHNNjFdrLpurHTcOxWJVTxW+BiNkUaWVS0jtOBbpO2eO7B8fR3+UDVJPfJ5fe3rrKlZg67pdO/cH90KEwntuxJZ+fUWEuwAnZpXkdC7N3lJefTJ6APA/fPvZ2PQYWbYF1lSSmq3hfBtWEKMy3Zsp7G8d/Z79M3sy5CcIdw5/k5ykxxGcuHz4ZMhQqEDu1akPUrEI6WMq8Lo/xU0QDg0YXv8hL1ONbTf46dL3+Fk9BjguhzLlOhYvHf2e2hCY2GV4y+23XZnRbO9fvHdjXy9xZnUVbjoIjEaF39LwL5fjmMZxHjC3IItPKT4k/jXif8iLSGNoroiiASI1LrbgTJiCTwYTHh5Au9teI9uqd04ru8JgLtMtKFmE68RwJPeknb9+trXEbbhasZZY3UAb6SRE8ZOYcklS+iW2o1pA6YxrsDpGR92Qdk3VAXZUibJqVqK3bOAu+fezXfl32FYBu9smYHHChEJ7ds7Lm1J6apqcsvmk/ezaxAeD9+Vf8fcsrkAXD3sanrn9XKuqWHvG8oFGiIYtoe0ZAstWvyZ5E2iV3ovEvQdt7L2aSZh88AmZGyPEqlsxbqLEOIs2nYe7MCukJ7F3KytvLfBYcE3ijcSWl+0my/tObTuvUjIbem1MeaYKQB4unV3VU7MTfHzCb9kSPYQVtesxrIjGJbLAfyoO2te9XxeXu3UA/TLc5SI4SJrKzgFc36flwldJuDVvHy48cNohbKrYohYHrxEOKP3GXRP7Y4mNDKPOhIA6U92TU4oJPHZAR5a/Df+tfRfAHxY9CGaNF1loq2rlSQHK/BkZ+PRPPHmYQlJzoQYrm3aZxmLPi4G26Iva0nJyuPzqZ9zbr9zidgR/jD3Lqx0L+R13ScZjbUhTBNS7Voypji/mye/f5InljqsTiPzRtIl28nMaqrc+4VFbTTLKjOvJda2vnY9765/l7AVZnbJbCa8PIH1tS0ZdAleScTlzEe30R4lci1wmxBisxCiBPgdO+k02IHtEWloZpI+kCuGXEHEihBoriEScr9OxJYaTVozf5jzBwC66BkAmHXurqa9A4cAcOZh0+iS0gXDMgAL22WaCzvBmVRLEuspb3LCc5buzOqmi4F127KRmgdTRFiwdQEA0wdMxydwn//J9pDgldw67lZG5o2kPlzPvCXvOPuq3MuaCoR1EmUzlYFKakJOEepzk5/DI01M053nZBoWdaEE0mQd87ct5JElj2DaJssql7E2sAaAUN2+KZFI0GTtvK3kb51P7olHogmNvKQ8Un2pJHoS+ey8z0jPzIpT8ewtYpN77rCeaAmOArz3qHu59+h7AdjUsIlQgnNMc+XeX1PNJucZ5/RuoWn5tuxbfv+tUxDaObkzZ/Q+g1RfC6NFQgIY+A5o+pP2UMFvkFIeAQwGBkkpJ0gp3Us2P8Rh2YKkQJDcpFwkEksaqHgdAus34t9aSXXQ6VxXsWkFgOtNnAJrixDYbG7aTMSKMCx3GOn9B5A40GVm4nSHlPBnZ/6BG8fcCMDrxW8AYLoYE4m55zbkR7hh1g0A5CXloQvpOrOAIRJIaOUIbgg3sGzdbAAiLtLTBKwEkrwmDxz7ALeOa2Eo8kgDYx8n3BiKCiux8NA5M8SSbUt4etnT6EJnVc0qljQtASBct28psWXr6jBNSefG5WRffjl1oTpeWvUSJY0laEKjU3In2LiW5o2luz/ZLlC1zgnc5wzqHN+Wn5wfpyJ5aOFDvFv9PgDN+2CJVK7bhm4GSRvQM77tvP7n8fG5H5PsTWZA1gBuHXcr+cktbXj9SToIQThw4JKEtCuFQghxGnAdcKMQ4k4hxJ1qh3VowDJMpOahxnSyZBL0BDL96WguVb62kSU1Er1eHj3hUQC+rXBoLtxkOAUIlW9DMyOc8c4Z8cwfgk1EXKw/AGj63lGC9pYWssqx3cYB7loiMR/3yAFj40HodbXroky07llXlmljaglExvVh7ItjWbh1IQWpBVw5+irAvZhIqMnA0Pyk5bV1j7246kUi+UmQ12WfZUhbMu/t9SQ3baH7sFyuHXEtSy5xgsXTBkzjuvG/ACDcsG/tAaqKHK95wfGj0dPTKWsu497597Kudh2GbfDK6lfwECa8j+6e6g1VeCONpA3sE982o3gGiyucuOK1w6/lnAkXgrRprtp7xVhb1khyczn+vi1ykr3JFKQWoO2Ezicx1Vl1BJsO3Ayt9vQTeQKYjtNHRABTgR6Kx3VIIFbrsK5xLfPKnb7dQrjf7AjAkjq61hLdPrZnlM7c7ewsU6JLg3uPvpfOKZ1ZVb2KxpK1BLe63IQoGhN5atW/mVE8A4AxIx3WVtIyXJPTVOrUOqRtLmNk3kgAPin+hJDV7KoSaapxlFWmNJnWfxr5SfkIIfD5HfeJW0qkstTJyut5yen8+otf89oap2Z4dslsar2NuNEdt2RVDQ01EYb2DpN+isOA1Lpztj/dUWCRfQhCA1Svq8AXaSDn9JMA6J/Zn6+mf8WRXY/EsAzumXcPkkbC7Fu2Y21FgOTAVhL6tFDCPLTgId5Z/w4AQ3KGMGL0ifh9ktA+kKfW1UuSQ5X4urV0zFxUsYh3178LwFelXzH2xbGsrlkd3599wtEAVBQ3UrK6htqtB171ensskQlSykuBWinlH4HxOC1zO7AbRKJsquO7j+PU3qdiWAZ1kRoUNAHEQqPZqufvi/4OQH66Y5q7bYk4tOkmp/c+nTRfGjY2UpjukwhGUym3ykoawo4LIZwTrfRPzXBNTqDScSPV+xriK88LBl5AWkKSq/xP9cWOyyS7sZ6bDr+JbmndqA/XM6f6WwDCze4okaKvNyCkRXqojIZIA6EoT9u/T/o3fbcZBMv3PSdm3Xdb8Plg5O2Xk9C7Nx8VfcS/v3dqKr6v/J73Kx2lH6tX2Vs02snkDu2Of/hwAKclrj+TBD2BRE8is6fNJjs1GUt49zr1VkpJQ8hHeqaOnpMT3/7SaS/xq8N+BcCGug2sNcvILEinoX7vfJyhZoOw5SUtIYzwtlhOH2/8mL8u/CsAXZK7MH3AdDISMuL7c3uk4tEls55bxXv/V8hLf5zHuoUVezUGVWjPryS2nAgIIboABtB5F8d3IAqz2bl1acmppPnSojERU4klYuNBCpOw5fxwKwzHMrBcrFAGhwpex2Jd7Tos22JI9hCyEtORuNy3JFp898DJf2XaAKeh0gPvOjGL5sVLXZMTqnECpV81zuG++fcBkJ2YjU/XXOV/qi92Ju+0ri0NqBoiDXy07VMAIs37nnHWXB9m1ZIG8rYtxp+RwtMnP82lQy6N7/d6BQb77kqtXF1GUsUajPVOAH3e1nl8tNGpiF9Xu453Kz8AIBzc+3dPSknN5jqS6ksQmvMcNjVs4rkVz1ETqkEIQXZiNinpjhUSqN+7+xdsNIgYgm7nndzGmspLyiPL7wTA/7H4H/z+29+jLZhFzea6vaL4qd3qeCW6nHpkm+2/PuzXvHmm00mzb2ZffjPmN06sJwq5fhWjvruXIyemcOavRpLfM40vX1pDc51zvVJKqrc0UVnibjuBPUF7fiUfCCEygAeBxUAxHW1x24WYJVIc2sTW5q34dB+dkvPAZa4kcNJU81NzuGWs0/7l060zATDd7qltATLCue+dG1dYuo7rTLShgOk0u8pscR+cPsjJNHfzmgK1jqKfMm469xx1DwBratbQWJCGyMje1Vf3CNUl9Qjb4PuEVYx6fhTlTeUUpBTwxLlPARBxwRJZ/mUplgX97WX4evVss++FlS/QbNdh7mNRqJSS+kZBqtZM4hAnU++PE/7I22e9DcCU/lP48JcLSEjyYHfutddymusiGJZGQlmLa2dVzSoeWvgQNcEaDNvghZUvEE6KMhts3bvEhFhmll74ZXyblJJXVr/CymqH8PO6kddx5/g7SU+KEJFeGqv3PLuyptSxprtMGtdme7I3OV5cuCP4uhWQ2ryFlKduJ3TtFAYu+w+WYfH+o0uZ/eJqnr9tDq/8aT7z39+4x2NyC+3JzvqTlLJOSvkmTixkoJSyI7DeDsSK4r6pnENRvVMboumKYiKaF93T8jjPGTrVGYPLTYhMW+DRJA8d+xB+j5+V1SupCJZjudwsKhww8ZoBrp/3G+aXzwfgmL7HA+5aV401ITTboHf/IfTLdOpQPt/8OYXNy3DTE1ixJUxKczk9h43n8qGXk+pLRQhBYpajJCP72CdcSsmqL4rJql1Fz2svotlo5ooZV/D5Zqc3ytyyuTTRgNQ8+1RJHqiPYOIlI3PXU4fPbKJ+3d538Kwpd1bWWZ1T4ttO7H4icy6YQ6/0XtjS5oEFD7DN7/S3qSnau5ayVdHvpSe33JOIHeGeefcwp8xJThmQNYARuSPonO9cc8mqmj2WU7mmHM2KIBd93Wb755s/j8f8vtnyDSOfH8myypa2Cgn9+pH9s2vx5OaSdPjheFcvYGT9p9RvC7BmfgW53VM57uKBTLzQ/QLm9qI9gXW/EOJGIcRbOBbIlUII93k7DkFEmhwlcvGIixmdNxrDNlia3YiZ6l5hGYAVrXUobi7iuRXPAVCQ19PZ57Y7K8p4e3LPk9GEhkCAZrnORBsO2XjsEPXhBgzbSemtF47ryc0mPc31BgmReuYHV8V/vBcOvJATAp1dsQ4AqkqbqGpOJN8qYUjBaH45+pek+FJoiDTw740vIGyDyD6mLQcbDZqDgjyzlNSTT8aS0XsU9bw8PulxBuU7LMihpr13nVWXOCv+rC4tFuJzK56LF4Qur1rO/fPvx1NTRnPF3qfDVq1xOMWy+7bQr+uaTqovFV3T8Wk+vr3gW44fezKaFaGmZO8skep1FehmkIxBLblCPs3H7GmzuWDgBYATE1mybQk5AzqTFNjK8lmb95grrmpTAynNW0js16fN9ldXv8p/V/4XgIKUAq4ceuV2lkneL39Jz5dfouuDD5B/++2kzX+HM3p9z1UPHcVRfbaS8cEjJGfsuOJ9f6A9PojngSHAI8CjOPUiL6gc1KECkevke+cOHILf4+hdaQSRhruRdStawW0kEk8V3Gg6q0CRlbPT7+2VLKkjhMmaGscfPih7ED0ze7ivRCICHxFePv1ljuzq+JFv+M6pF3HVEglqJMkm7ltwP8+vfB6ADH8Gycl+bM2L5UKF9/y3VuOxggwemoBpm9jSOWfQCPL0+v+ieSXk7lvVdXW0kC1vVB+EppGekM4zpzzDCT1OiB+TmOLEQ5q27cPkvnoLANn9W/z2c8vmxgs1SxpLeHf9u/i0CMF9oOuo3lCJxwiQPrjFJVa4rZCnlj2FYRkIIUjzpZHStz8pVg3VVXv3TtSUN5McqCChT9/4tli8JdnrLPaeXvY0t359K8mHj6Fn8QyqyoMUfra53TKkLamplaQ2luDr2bPNvv877v94fJLD8N0zvSc3jL6hTUzkh0g/+yzSzzmH+n/9E1lbDaZJZNMm7MiPlwLcHiUyVEp5lZTyi+jfT3CUSgd2Azv6Xn9ZN5eGSANezcvYSCdwW4lEXUlHnXoZlwy+BIBXNjnBOr1LgbuyUrOoyja5dua18W26R0NqHlc7DoYsD36t7er82rHXA2C6ROxnWzYNVgrpviCPHP9IPBtnbe1aaiwnEB5p3Lc01eb6MMUr6+hS8R35l1/IY4WPcdh/DwOcgrYllxaSnJ6CuRPupPaiaqVTcJczeMfK6KVVL7HWchR/U9meu2NiqC6qdib3QS2T+xMnPsHfJv4NgMm9JjPnwjmk+S2CMmmvXWe1FUGSAltJ6NOycl+wdQEPL344/vm5Fc9RSAm9TxtLZc3ekSPWN0ByuBJvl5ZcofpwPc+veJ7i+mIArh5+teO+HTKELnIjnWQJ894ronpL+6rX66uCGLZOhj+I5m/rxEnyJpHmczpRSimdxnW7CNwLIej85z/R+Z57kOEwaaeeSs+XX0Lz/Xh0hu1RIouFEEfEPgghxuG0ze3AbtC8wqEwf3/+0zRGHB+vx6Nha15sF8uhQ5XOKtTa3BJcu270dQhp0TjP3UcVNjS6DxwSD0Kvr13PPBy2WzcD3uHkXPQxvbj6k6vZUOcwqJ7c71R0K4wZcefela2rwxYeOvXJoGd6T7qmOBPwnC1zWNbouLaCNfuW9bKpcCsSjb6DkvAVFDCu8zh+NuJnbY6RZZtpXL5vjMHVxdWOW2aIM+mur13PxR9dzNJKJ5NtWdUyNuibAGjaWrfXcmq3hUgKbMXfqqZiR0hPk0ihUVe5dwWHDU0aKVYNnsyWbLarh13NgosW4NEcq/fRJY/ydenXZK3/EtuUrPlu6x7JaK4PE7J8ZPhD8QwwgG2BbTy48EHW1DpKt3d6b4bmDEV4PGRfcil95zyCR7P5+rV17crUWjvfScntXLB9FOD1ta/Hm1/NLZ/LiOdHUFhZuMvzCV0nY8q5bepNfky0R4kcBswRQhQLIYqBucDhQohlHR0Od41YrcN9Jz1IpyTHRF1d7ygW20XWViPKNjtz1Vt8WPQhAF1TuqLZhquBdSNkYJmS1PUbmdBlAuD4qRu7OsFPtwgLI0GDSNDCJ5qJ2JF46mVFoMKh/nZJiSz6aCP+ZC9Df30+HxV9FHfRTek/hZMHOkV0+0rdUVdloOvQ62cXAnBE5yP46fCfAhCxIjy04CE8MkjY3Lfstvp6m+RINQmtsrISPYnxCffeo+/lF6c5mXvBwN7fv4aATioNaEkt3TkfXPAgHxQ5ab1ratbwp7l/IiHfcZ1Vrt/zupRQk0FY+khPbjtBCyHwe/zx9+HL6V/yi9G/IEuvI71+Pd+9s4HGmvZnTlVudhYI2XltV/F9Mvrw7QXfMrHbRACK6oriQfbsKy4nrV8Pem/8gC1rannv4UIWzShm84rqeLvg1ljx9RYWfLCR3Mol5Azdngz16WVPM2OjE1jvltKN60ZcF58rDha0x5F9ivJRHKIwo0okOzMPXXNcTlK3wYBIIITHpb4iRrTGwJPgjVNKr65ZjWab8X7bbiBQ4Vg8RkKYdbXr6JfZj17pvTgr0p8FQLiqFn/yvvehrt7g1Lh0DTTz/OTn49tvmHUDJ9vnYLhAIrhtUwOla+sZmrgOb8LR3PbNbVw59EoGZA0g1ZdKZpZTIxDeRxLBytVbSE0Bf3RyD5khdKHj1b1Y0uK1ta9xo7iYgL1vsatGK4WC47vHCQT7ZvaNN1WKIWVQP/zJWwn69y51OdRsEJYJ5AxoWyY2p2wOXs1RGtXBamZunsm5fa5EXxOkZMkWBh7Tc4/kVJc59zyzU9vfxxebv2Bz42YuG3IZ4LiCANJOnMSg/17Pwsw/8PlzKznrV6Pa1HzsDNvWOO9Z/uC216MJLe5iAsdaeHf9u8y5cA7C66XLA/eTuXI1WYl9WPbFFkpXt1D+pOcl4vHqGGGTQKOBGbbomm/T78tnSbzlP9uN4b2z34vHyLqldeNnI3+23TEHOnarRKLdDBFC5EELv4CUsv2Rpf9RxNw775V/xEV9rkITGod1Hc3CDWC52YSo3lktnz70DPr1OAaAd9e/S6bsi+VieXxTufNjWRZYygvfzea5yU4mmB7tOOhWY6WtS4oByP3BZPWLUb9gwxILvZWLY2+x/IPlaFaEAcNTkFLy7tnvkuJ1LKqiuiJWBFcCw/apfwRATUkDaU0lgJOefNs3t7GhbgPvnv0uiZ5E5l80n0/m/pvaiB8pZbsmvx8iHDRpro+QWFWEk/eyPV5b8xolDZvpEuhB5dImuGjgnl9LebSn+pQT22yP1YgATOg6gS+nf0mkpISV/32F4nWjMCIWXl/7g+xV0cK57mcf12b77NLZzCmbE1ciz694nh5pPThm+DHkjOxL36K3WW1PYfXccgZN2DVHmGXabFiyjZTGElKHtb0Xmxs289mmzzizz5nkJuVy8eCLOb3P6fH9CX374u3WjYJ//YuCTgLf1ONo8OZTUdJMVUkjtiXx+HSSUn2kJJr4778WT+c8EkeN2m4cPr3FCrKljWEbeDXvTrm0DkS0J8X3TCHEOmAj8CVOseHHisd1SCDWz/qRNf90UmEBT/THZLrYEyNY4yiRxJyWtMsrh16JB9tVS6Rhs+OaGD/iaG4acxMAZU1lzCz/DNj3IHQMxctrSQjXsrJTBZd97HQbBDi64GhSQmGCpXvm+94RylZVkdFYRO7UsxBC0COtB9mJzgq9sLKQN8scPqNQ/d5fkxmxCMgk0lJa3Een9T4tPgnGkJiiY2vevW6uVLvFuT/JzS2MzV+VfsX0D6bHafQ31m9kWfVykhrLqG9gr6quq1Y6mVne9Yt3e6y3oICeoWVETI3v3tmwR3K2ravCn6iROXpQm+1/nPBHZpw7I/75uRXPMatkVjTY/Ge6Vs4ny6rg61fXMfftDRQVVtJYE9ruWi3L5tOnVlBTbTP2pxNJGj26zf51dev4v8X/R1XQed+7pnRlSPb2uUShtWupevxxyi6YSvPFJ5Hzwu2Mqv6QMeFZjKj8gN5Ln2XE6QPJnjaFbk89hfBsv2Z/YukTLNzqxC0Xbl3ImP+OYVHFoj26Xz822uPO+hNwBDBTSjlKCHEccLHaYR0aMCM2SJvPLv4ivsL8pnIOHk5ytbFSqC4AJHHPmge4ctCNHN7pcHKTctGRrvbEaCivAxIZMGQEmblOSqRH8+BLSYA6CNfvG2srQMXGOsrqk+hrLEPkHI6nyoMnmj5c1lSGXVlGSKbs5iy7hrQljUYCPdNBT0khYAT4pPgTRuePpkdaDyb3mszYKb1599EaQtbe04TUbmkAIcjq1NKE6ITuJ7Q55v759zPc5xj4jeX1JPTec1dTZTQzK6tPC4V4gp5Atj8br+6M/3djfwfAN+89RKmdQO3WAFmd96xeqXpDJZoVIaN7Sx1DxIrwhzl/4NRep3J0wdEU1xfzn+X/4bIhlzHghgtpKk7h+1ml9BiaTffB7bu2bWu2kbRlPXbjcLSsrDb7Ym5hgE/O+wQ9mpnoK+hK/i03M/DPf2Pj6XdR+FlLLUdiqpeM/CSQjkuuuS5MJGQxImszBYaN8LXlkz2u23HMu3Be3DVcVF/ExrqNbdKltYQEuj36KMaWLQQKCwl9v4zg0qXUvvIK0jAQfj+erCwwDHJvuGGH12nZFo8VPsZ1I69jTKcxdEvtxi9H/zKe4HGwoD02kyGlrAY0IYQmpfwCGKN4XIcETMNGtw3S/S1tSjWvc8tdbYcaJbpL7pxNoseZsNbUrEFiuMpEW7cthG6GKErZFq/Az0vK4+wR5wHuKJHFLy1AN4McNmUok3pM4umTn477vu+ccydNZg3GPvJ0NVQ2YwsvGTnO5F0TquHOOXeyZJvTByPRk0jXISPQvRpWxt4HOStXOrU6WX1aJt3WpIjgEPA1Jjkr3ur1e0esV72hEmEbZA9tmQzHdR7H45MeJyexbaylay/nXm6Yv2WP5VSVBUhuLsPfKu02bIVZsm0JlUGn8rvJaGJO2RzqwnWknXIKY4/PJtUTZPZ/V8d7t+wKjTUh6oJeMq1tziTcCq+vfZ031r4R/xzrphhDxpQpZA7tw5AZt3PO0LVMufkwjp7ah+5DstE0gebRyOqcTP+x+RyRtozst+7H2Lr9PdeERpI3Ka6wZmycwa9m/2qH1pu3a1fSTzuN/FtvoecrLzNwaSGDVq5g4OJF9J35GWIXqbe6prP00qX8ZNhPAOic0pmrh10d72NysKA9SqROCJECfAW8KIR4GDjw+IgPQJiGjWZH4nTcACePdtpv2h73KkyDTSaaFeGBM/7B0BynOdSszbMwrICrSqSmxibVrOJ3C+7kmeXPxLcnpDsTU4wrbG9hhC2KN0u6NK8i+6zTttt/zfBryEhK3mf+p8oVzuSe3cuZpDold+KTKZ8wqfskwPGJ/3fVf/EZjdQWrt7peXaHqnXbQNrkDusZ33bVJ1fx2y9/G/88e/psTj7W4QSLJRTsKWrLAyQFtrXpU/FDvLP+He6acxd5R48ms2YV388qJdDQ/oWMlJLaJg9pZiV6RkZ8e6ovlRlTZnBuv3MBGJozlJlTZ3JYvlMLE1m6mH4L/kljTZjP/rOCzSuqd9obI9gY4f1HlqLbBj3ytn+XPi3+lE+KP4l/fnHVi3y8scWzLjSNrg89SOKIEYTnfkun3ulkvnYvPV/+NYetf5rD1j/NwK/vp+vT15P03hNkX3sNmRdduJ2cpZVL+dfSf8WV/dT+U3njjDe2O84NaEKLZ9CZtkljpBHTPnAbUO0I7VnSnYXD5Ptr4CIgHbhb5aAOFRieJIQI8cLK/8aZaBP79QIK0bLdqyRvbjLxW41orXLdLxh4ATO872HZ7gToAg1hau1M+iTX8PeJfyfZ57hC6sP13L38LwzjGsL7QKcBDjusLTx0H5aL0DSeXf4s35R9w1MnOSSFh3c6nMbkVZSbCdiWjabv3bVVrXHiBDmDnTx7j+Zps/pbW7uWBxY8wM3Bm2iuTdzhOdqD2vJmEoNBEvuOj2+7bMhlJHvaupGSB/QhMTKLqm0ZeyWnvkmQYtehp7S4+V5Z/Qqvr32d1894HU1obG3eypqaNSSedBsDK+9jXmZ/Zr2witOuG96uYH5jdQhDeslK37NYSsZ559F15kwaNn9AkX4GG5c6VldKZgJ5PdPwJ3mwTEmgMUJ1aRPhQITh3z9O3k/O3u5cP8w2e3Pdm/RO783kXpPj27ydO9P9P08jo41TUiYeC994MEodl5+eloZ/2DCyr/kpGVOn7vDal1Qs4dHCR7l4sOO1z03K3SVJ4t6iPlzPcyue46SeJzEwayBLK5dy+YzLefLEJxnfZfzuT3CAYKdKRAjRF8iXUn4b3WQDzwkhjgIygGr1wzvI0bUXWbkWb5zZsop54bP7SOcUmlesgX5H7OLL7YeR2wM9rZ6z3jmLfxz/D3qk9SDDn0H6yKHUbnMnY2rRe+uQwKAJXeieOyy+3aN5yMl3XD77yjVVucwphssd6RSyJXoS2/RWKG0sRfoj0KDRXBMgNXfvYiO1WxrxRiTpQ5zVckVzBV+WfsnEbhPJS8rj2IJj+faCb5k5+1XqjYxdn2wXqG+EFKsOPaVFaZze+/Q2xzy04CEGZg+k13FDWL+4Esu02xBp7g5G2KLZSqRrUltXUUZCBj3SesSzfK4dcS3XjnBYBrpfcBpVr77FOjGVNd9tZeD43Xd22LLamfzze2W03d60hb8v+juXD7mcoTlD2dq8lYcXP8yFAy9kWO4whBB0uuNOAqefTk+KMCeeQ2NGT+qtJCq3NGGELXRdIzHNR26+h9xP/0mmp5a0M07fwSja4q0z39rpvlgQO/OCC8i84ILdnqs1Lh96ORcNvigeiyuuL2Z1zWpO6H5CPMbkBurCdfxn+X/ok9GHgVkDKUgp4KYxN9Ej7eDq+bert/X/gB2R7NRH9x0yqFiwBqPZvZTbGJo2lKBVb40H6ABSEpyVrdG47/GDGBprIyTmJdInow9+3fHzr69dT2Xt+nj6774gEjJZtaCK/uM6UzB9Ml+WfElJg+MSSvYmc9dkpw9HJLhvZnizPw9Ng/yjnFTI6QOn89CxD8X3/23R31gYcDiamkr2vpNifdBLKo3o6U6sakPdBv703Z8obXRWq17dS5ovjbQkkwDJe0X4aFs2TVYS6UltC9AqA5UEjJZnP6d8Dutq19EpUkQkaLJm3p5lnlVudoL32Z3auvhO6XVKnIrkh8i+8gr65tSQ3lTMN6+tpbKkcZfZWnXbAnz39gb8wSo6jerZZl/ACLCmZk38msJWmMJthdSGW2onfAVd6fb4Y3h9Au0/95H+t2vp/vCFjF/wJy774xjOGFnKqJm30ufZn5LZWEyPZ5/Bm7d9vdE/C/8ZL8xTDa/mbUmG2fINv/3qtwRM936zAD3SelB4aSGn9joVcGhwLhty2UEXE9mVOytfSrnshxullMuEED3VDWn/IlBRwxtPb6HAO5+zHrnE1XOHAiaaUcEHRR/EV6DThk3nzcVbXaMIad5WTzAI/Wsr2kwa87bOo65oNT7PvpvFaz5cihG26ZNZgylsrp91PTeMuoGfDHcCgnqiH69PwzNo2G7OtGtUrS4jNRU8aTu2MK4ceiVVRYtZMT/K/zR619QbO4KUkiaZQt9JLfGDwzsdzqyps0hPcJRKWVMZM4pnMCBXg60aNaX15PXK2tkpd4iGqhBS6OSOahunOP3t05nSfwo3H34z0LKart34Jmn15Xz7KnQblEVqVvsKUbcudcq1Og3atTXx8caP+bT4U/5+3N8RHg8F99/PqLsfZq7szWv3LCAh2UNut1Ryu6WSXZCCpgsi0fqTVd+WYQYjjFz+BEmjX2lz3n6Z/Xj/nPfjn3uk9eDjKdtXACRPmEDvd97GamggtHw5we+XEfzeIbzw5OaSOGoUafl5ZJx33nYkhTF8tPEjjuh8BKf0cuqfX1n9CrqmM7X/1Hbdq/bii81fsKF+A1cPuxpwrMcJXSbECRndRkxZGbZBY6SRFG9Km/qRAx27skQydrFv7x3FBxiMJqcOYFsgbTdH7hls2yaiJ9Mgq9usnjxJ0Z7aoX2j/o6hePYKADoNbLtyO6vPWQzI74ul+bD3Mc93y6KN6GaQ7hOHogudl097mTP7RBtE2Sanv306UjbTVFy2T3JqNteRuK2lpuDP3/2Z3331u/jnoTlDGTxgBACNW/eOiTZQHyYcMEmsbuEZ8+pecpNy4z/c0sZS/r7o72jdnPtWOr94j+XEKNO7Tj6qzfabD7+Zk3qctN3x6aedyrCK97FCET5/dkW76ziq6zUS/ILck9rKeXDBg1z96dXxz3XhOjY1boqf19ezJ0P+83emXJ7PyMQVdMsKEqprZukXJcx8ZiWfPrWC2S+uYcEHG/H4dCYkzqPLsSPx5u8bI4GelkbyhAnkXHsN3R5/DM3vJ/W44+j64APk3XTTThUIwPvnvM/tR9we/zxz00xmbZ61T+PZEeaUzeGlVS199zL8GfTO6B0PgLuFjfUb+evCv7KlycmUW129mmNfPZbvyr9zVY5q7OquLBRC/ERK2SaaJYS4Gji4qmF2AT05urrwuqv5m7dUYWteRvYazE+Ovy2+/ZH1T5DH5H3uHwHOqnrZV+X4IhqL+jVww1un8vZZb5OgJ5DiSyE5ORHqNCKNQfwZe7+Kqq+zSTFr42R4sQwwAF3oDMkZQmJjDQ3Fe09WaBk2zSKFgrSW5kI5iTkkeVo4mkoaS6jLCyCQBDwZeyWnarWj6FJoGeva2rUs2LqAs/ueTbI3mdH5o5l/0XzElgpWffkdGxaHGT19z+SUz1sD0iaxthh6DY9vn9J/Spvj/r7o73RO7sz5A8+nzx2/ourul1ijXdCuquu6bQGKl1ZR0M2DN7dt4LdrSlckLYrogoEXxPtjtIZcsZicL58lKxCgO0BaBtbAMQivFy3UiF5VSt6JV5N+9m3IHZCjLdm2hGeXP8stY2+hc0pnJ9Fi7t2c1/885cHhp05+Ssl5bz/idm4b1/KbLWksYcm2JUzqPimebu4GyprKeHXNq5zc82S6pnSlS0oXbh17K30ydp5ldyBiV0rkV8DbQoiLaFEaYwAfcI7ice036ImO8pBa+2kZ2oP6Ise3nZqX2obCIDsWhA7suxLZ/M0aqs1MRnUqJpTbk2HNw+IcRhvrN1JulAE5hGsa90mJNBqJ5PmdSbfZaGZu2VyG5QwjPzkfIQQPHPMAb7zwHIF96B9RU1wJQiOzS4srKxYIjuHpZU/zVelXXJ1/D/V72RKjapWz6ssd1FLQtaRiCffNv4+Te55MsjcZj+bBo3mQ3XtQEHiadfXHsXlFNd2HtL8QsHJzI0mBRpL7HB7fZtkW5c3lZPmz4pPRiqoVBE3HGk497jgGz5rN1vXrmf1f2LyihtweqeQWpJLbIxV/svNszYhFTXkzHz+xDBkKUFD4IXB0G/kXDto+dXVHyLroIjKnTye8oSjqZvqe8Nq1yLCFlpiEPnggeno6QtcR+vbPt9lopqSpBBvHarOkxbq6ddRH9q5J1M5g2Rb3zLuHSd0nMaHrBFfPvSO0ztpasm0Jt39zO6POGeWqEjmy65HMv2h+/HN2Yna7n9uBhJ0qESllBTAhWqEeW3p+KKVst/0ohDgFeBjQgaeklPf9YH8CTtOrw3CyvaZLKYuFENnAG8DhwLNSyuv34Jr2CDLspKXahru52dVrywEvC7SlVG72cFx3hwfo+gm/5onnZ2LsYxAaYNl7y9HNREb97FQSu3Xi+O7Hx/ctr1rOovpFdGM4odpG0tm7orlQY5iwnkxGljOBlTeV8+vZv+bBYx/klOQWbs7EBEltaO8JJSu/dzKzsvvm7/SYiwZdxGm9T2Pzx4Vs25qP89rsGao316GbGhnDWmgszu13Lif1PCkeE6kKVvHm2jc5qedJDD++gLLvtvL5sx7Ov/MIElPbZ7HWNmhkWFXx4D1AbbiWyW9N5vfjfs/0gY5p88PVdP5vf8PIM6eyQZtM+cphrF/UkkDg8+vYtoxT4XuFwcjF/0e3W9sq2x3h882f8+baN3no2Ie2mwiFx4N/QH/8A/qTMeXcdl1fDEd1PYqjura40rL8Wbx39nt7dI72IGJH+Hzz5/TJ6BNXIq+vfZ2mSBNXDL3CVVmvrXkN0zbjE/rx3Y7no3M/2mWzKDdg2ibVwWpSfam7V1a2BVu/h41fQUM5TL5v18crRHt6rH8hpXwk+rcnCkQHHgMm47DCXSCE+CE73FVArZSyL/B34P7o9hBwB3BTe+XtLWJ9BKTLPcIrN9YibIuX9Y9YWNHS00PTNDx2mEh43/lIymt9dNIrSOy2/ct9Yo8TmT7KmaiC1XvvZqr8vhiArO4ZgMM0+sYZbzC+c4ur4qx3zqJBVBLRE7H2Mv5SvaESpE3e8J7xbT/99Kc8tKAlO6tfZj+H0iU9QkCk0FC157xWddUGyaHKNtk/Xt1Lpj8zbjFWBat4tPBRiuqLyLv8Ek6+4XBCQYuvXlzVPhkVAYIykeyMtu6fJE8Sd0+4m8M7H76Tbzoxg1733c2gTW8y7uPrOTX9S8781UiGpBTR3VtKL18pg31rGd4wk7Hf3knPS04nY8qU7c5z/efXc/s3LfGDkBmiOlQdZ4w92JDoSeTL6V9y0aCL4tvml8+P9+JwE1+Wftkm1pLiS6Fbare4le8WFm5dyP3z76fZcDIoSxtLmfTGJL4o+WL7g6WEqvXOvwDv3wBPToTP7oSNX4LlTox1b+BupKgtxgLrpZRFAEKIV3AKF1e2OuYs4K7o/98AHhVCCCllM/BNtFZlv0DiXmW3bduUVWhkiEo+vbit3r3z2zvpbg/D2MfuhsGaJiKeFLLznRfwgQUPULitkJdOcwKCfo+f3IJOQAPN+9AOtTLq/skZ6PjnE/QEBmQNaHPM4Z0OJyXTR802jdoN28jpv+crttptQfzhZhJ7TYxv65PRp026Y0ljCRXNFfQc3YVlc2DlRys44tL2M/BIKakLJ9LZW97GXTG/fD5ratfEu0L2z+zPkkuWoAvdqXMY1Zu+j7/L2sLRdP1qCwPGdcKbsONFR6jZYMY/C9GsCD0Ht03WSPImcU6/tp7gR5c8it/jj2cCASQfMY5+sz4ntGoVwu/H1yuFyKp3MCsqQAj0tDQ8eXmk3XQ9mZfsmMZuSM6QNvGk03qfxmm9t2cB2Fd8vPFj3t/wPg8f9zBe3UvYCvPbL3/LmX3OZFKPSa7La40Hj31QyXkfO+GxNp/LmsqYWzaX47sfT6Z/3xmkY9jYsJF3178bp3/PTszmD+P/wLCcaJZjXQn408GfBoufdxTHDYWQ1QtGXgS9joVex0Dqj9t/RKUS6QqUtPpcCozb2TFSSlMIUQ9kA+3qZCOE+CnwU4Du3bdv+LInkC5mXqz/uJBGbw5j+28/efdI60E4x4/WpdcOvtl+bCt0uKuyezqpp/0y+rXJHilpLOHryHxgIM1Ve98To7akDs1OJntkP8ApzFu8bTETukyIu39+f8Tv2Vg6i80zoXL5pr1SIvVNGqnUt2E6jZEGxvD62td5ceWLzJs8g+wPXmHp3IEMmhwgPbd9fuqGygCGSCA7r+2z/qLkC95e/3ZciWhCaxPHErrOsMEaFQvX8+VL8NXLa0jPSyKnWwq53VLx+XVMwybQEGHj0koaKpoZtvxJ8n/b1sUQNINUNFfQKbkTfo/j+ituKG4z2cdl+nwkjhgR/9znww/adY0x/LB7oirELJzYu6ehUdZUFu/k6RYqmit4tPBRzh94/g4ZdVVibe1a7pp7FwOzBrqqRKb2n+qkJ0sJwVpSG7dyXkTAl3+Foi+hdiOc/QSMvAD6HA9nPAyJGc6Xe6iPC7UXKpWIckgpnwSeBBgzZoy7jcv3ASvXClJSNQb/9DjunXcvJ/Y4kTGdnBXzVcOu4o3E2YRr9+1H1mg6E0/+EY6H8Icr3KK6Iv5a9k+u5P+IJO79i1/frJFk1OLNcBTG8qrl3PzVzbx+xutxJQKQO6I3fLaeyvWVDNrZyXYC25Y02cnkJu+aBGFqv6kc3fVoPLm5HN63gZnbwnzyyALO+8PR7aJAKY/2Kcnr3zaT6TdjfsP1o1rCbvXhep5f+TwndD+BwdnO/c37+c8YP+18yjd7aMwbRLPVj7LqfNYvbImR6Logyaxl6LKXGHz9FPz9+7eRs7J65Xa0Fq2LKVVizpY5PLPiGe49+t7tSBn3Bef0O6fNu+fVvW0YGtxCk9HE3LK5bdKj31n/DpsbNnPD6B2z5O4tHit8jO6p3TmjzxmA043ys/M+I7u9zbykdNxLZhAQjiVh2/D9q5DTHwoOg6ZKePViaCyHpgowQ5hAuUcnw5NMavcjYdw1Lcoioxscdrmr1+kWVCqRLUDrJsAF0W07OqZUCOHB4eU6qOlUalZtZsuaWg47Npuwx+L9ovfpk9EnrkQA5NYSgua++VdryhrRPYLMAQU73D+hywS+uPRb3li7lEjSnhXKtUazP4/8CS1umfFdxvPOWe9QkNoid9r70zgsdxSdA10pK9lzKpL6bQFszdsmHiKl5JQ3T+HiwRfHLYRuad3olua8Uj1v+yWDL7qV7z3nUPhxEaNP37XnU0rJ2u/K0M0Inca0ndxj2Vjxazaa+ff3/6Zbare4EtESE+n1+qtkf/ghgcWLCa18l/C6dRh4kcJDz6eeQAs3s+WGP5F346/JuugifogeaT249+h76ZfZb4/v0Z7i9LdP56QeJ8UnWFOahMzQQRsT6ZPRh5lTZ7bZtqJqBcurlrurRKRkVvGnjErrwxlWAmga/r6T6OTpBJ/cDund4IhoIsOzp0OwzlEWRqjtv7H7PGwqTHkKhIAPb4QxVzpKxJfMx3qE7/Py+d3gMyGlE3X+FE5d9ld+P/ZWph9EWVoqlcgCoJ8QoheOsjgf+OGdeQ+4DKdv+3nALLk33XIOIJTOWQ14KOgsyfJnMeeCOW323zvvXvJMH7Dn1datsW3+ahKDAk1zfPs///zn+DQffz/u74CzIvTqXhJqt1A5Zwtcsqf2ARhhk4aqID3zWyhhkrxJ2+WxH9n1SHqm9SRjkGD55hTqtgXIyGt/KmRlkUOR0W1yC5eYLW3Gdh7bJiZS2ljKpoZNjO8yHj0lhdF3XEbZfV8z70Mb6fHQqXc6OQUpJCS1VdBSSr59fR0l5TqjxmaQPLhtTGfGxhk0GU3/3955hkdVbQ343VNSJr2SEAKB0KT3IkhTBLEgoiCCYLnWa/ezg/XavYqKitcGWFAEFEFEmihFeu+dQCC9ZzKZtr8fZzLJpE5mJhQ57/PMk5lz9tllzuSsvddaey1ubK2EtI8PimfnpJ1V+qkJCCB89GinIdtuMlF68CB2k4mA1i3QGAy03rDemaK2MtGB0VViZ32641OKrcU81v0xd78utxjQZACtI1u7fB7QZIBP2wDF7fpA7gHeGvCW89iDKx9kSOKQKqtjX1Nx46ETKcFmBkuJ8rKZIcIRiypjH5jyoanjd7b1a0jfA4WnoTBN8XIqSmOezQysAr6AuI5kNu7MipQVDErfSVxFIRwYDv4hoAsAfWClvwHK3xjH/50QcP96CHKsgv0MHOo0irUpy+HK/wAQYivlP6ERdIzxLvLD2abBhIjDxvEA8DuKi++XUso9QoiXgc1Syl+AL4CvhRCHgRwUQQOAEOI4EAr4CSGuB66UUu7lPCcnJRdkFLFdq58ZJ4cnU2o4SWFpEHa73SXybn0oMPsT4V+uEusV18tlNp1WnMbiY4uJ0NrJtni2yzh7fyogCLaVx0E6lHuI/Tn7GZ403BmM7uFuDwNQfH8p+6esY8XHGxn1/ECngKuL1FXbEXY/QjRFgJKdUavR8kq/V1zK/X78d6Zuncqm8ZsI0AUQ1KMHvS75nb9PnGT9z+XfY0hUABFxihArNVopzDZhLDCTHHiKPv+a4PTIK2Ph0YVkGjOdQsTdFLWagAACO3VyOVbblfml+WQYM0gKTXJ+dxnGDJ/bDwBnWJWGxiZt2OyuXmgFpQXOvS/eN2AFjZY92Xv5ZuuHPBjUmsb9HAJ38ZNwZKUiLMpWARYjVNhkiV8IPKvEROPPtxS32Acd2952zYHUbYphOjQemvWFkHjHKw5CG0NoY1KLUnl1w6skXjGduIR+5XWP/aZ+YykTZg4e6vaQyyrKX+vPyJYj61fneUCD2kSklIuBxZWOPV/hvQmoNvCNlDKpIfvWUORlWQi05uMXFkxqUSpf7vqScW3H0TJCESpj2oxhXfw8tqXoKMnIIyiu/qomi7GUEm0ozSPKA8JVTrmaVpzGe1ve47XQ+ygtCKYkt5jAiPptOMzcrcRlim5dHpdpdepq3tvyXrURTYPC/Wlfso4daX3ZMn8PPW/sgDtkppkJMuXi37h2b56rW1xN90bdXVwtmz39CHFHj2JPbMWOMfdQIMMozE4iLz0BgURnKSa0OJumWfvocH2XaoX2tCHTXHI4mKwmPt7xMQMSBrioIb1lZcpKnl/3PL+P/t25wprSd4rP6q+NbRnbmLplKi9d+hJJYUk+q/fuTndXOTbzqpnKPobSIrCaHLN1fzDmQNZBiO+szNgz9kPqFocAcAiB4kwoSFVsBQWnFXvBo3vJLc1lW+YOzBt/hF73gz6AJTobGyOCeT64V9XVQNl7vwrq1UFPK+2UMX6u0q8KSCl58e8XuTysHQOa9AKgva0Rq8asItTPt6GRKmOXdo4XHCfCP8KnBvyG5oI2rPsCe6Bvw50UmPSE6JQfaq4pl+UpyxmWNMylTFCUAVKgMCXDIyGStes4CA2RTcJqLNMxuiMbx2/k5A9/kbIajq3cTbvRlZ3jaif7WA5CGojuXK56G9N6DFc0vcKZQRFg0m+TiAuK480Bb9LzuVs4/dQCNi9rT3K/JCLja7eRZKcWkVUaQnN9qssKIbUolfG/jue5Ps8xtNlQQEkeVXnDlyYoiMCOHZFS0v2jyZj27qVk127MxxX9uSYyGF3rGAy9biHkiuqFlBDCRSDapZ1v935LbGCsT4VIr/hevDPwHSIDPLdRuUN+aT7D5g3j8R6PO4MTliU/KttZ7hVSKuqZgtNweIXy0M8/pXzOOQL5qWCvsG9h0kLFFfXISph3J/x7E8S0hsPLYWkllZR/mLIqCG2sqIJCG4NWT/+E/iy5YbFioHY8+E/GtWVT8UG4/mP3+h3jqsasLEBACYK45tQaWoWX2630Wj1RgfVPW1wXM3bPoMRW4vSks9qtjPx5JA93e9jF5ft856IXIiXFnu+hqIzNaqNYG05cmOKh3CG6A3+O/dOlzNQtU8nI3EUC4yk4mU1cr/q3U753o3yFcNW8qxiUOMjpFqvVaAnUBNJsWE90f6zj8Po82lXdk1YrWemlGExGAhqX7yIP9gsm2M9VMAxoMsA5c/Jv3px+I+JYtNrEorf/ptOINkQ3CSaqSTCBwa4CO/t0ET+/uR69uZD2vcNdzvlr/RnSdAhxhnKhkVacxr7sffRt3NfpIluGEAL/Vq3wb9WKsJH1Uwl8s/cbogOjndFhDXoDW271fXi4hOCEKvmzv9n7Dfty9vFq/1d91o5WaBnVchQtwsqFf+eYznxx5efKTN9UoHgMWUogdatjFWBUVg0WY/nnMrtCqyuhxUDIPABfDIWRH8El10Lmfl5eOwV/KXmq1A/CEqBRB56JbURzQyx3R/cEvQEiHf1I6g8T5iuCAaDreKWeiiuI2vJ1VPIyvKvTXc5I0r7CT+vHijErXI4VmYv46fBP9I7vTeuI1jVcWX8O5R1yUWXqNDreGvCWT9s4G1z0QkQvfbfJMHffCewaPZGNa559t4poha6jEU5BzrHMGsvVRs6JHJDhRHctny1dk3yNy+wpz5TH9we+Z0jTITTTpnCkoDUnt54ksVtidVVWS54pgGi/DBcbwea0zaQZ01wMxHd2vNPlusYTx9B95ZPsyurO2rnlm/IMwVqCIg2KOq7IQqlJojcX00+spskdb7rUER0YzfN9n3c5tv7MeqasncKS0UuqPIy9Yd6hebQMb+kUIg1FWnEauaZcLokqd3IotBSSa8qt5So3sdsV1U/+SYLzT/KUJQC2fA/570DTvtDvIbCWwjut4PLn4bLHlfIzRtRSqQC/IOWh32IgBMcq3kahju8+sQ9+nW9BHxgJPcuDS9j+fBJbeHOovFclJM51Y1xgRBXBUBMrU1ay+NhiXu3/qkt+nrOB0WrkrU1v8Xzf5336gK88cdAIjUuWxguFi16I6HwYyiDLYUOIaqX8o2zP2M78Q/N5qNtDTt/8q1tcjT3pKj5buJjcM54lucnLshBozsM/slyd9e8u/3YpU2gu5KPtH9E4uDGD7h/I6Xd3s+x/Oxj3TqMqK4LqKMosolQbTFSU6wNu0dFF/HXqrypeRhURGg1dP36JpK9nkbPhL7JOFVJIOKUdL0MT1hbj9nUEleQQYMqhWWMbbT55B41f3X0a0GQA31/zPTGBvk1V+tPIn6qEXp+6ZSodojv4dNf17P2zmbV3Fttu3eY8dl+ne5WHuzGnfPZvLq6wGjAqs/mWlysXbJmh6Pk7Kk4AfD0Kso8oqiR7pdAX/mHK/oKEbqQUpPDM6md4eODD9GrpGFNwHExcoNSvD6zw1/Fe66eorcoIjICr/1v+2c/A0wNeqzLOtwa+VeWYt+SYcjiQc8BlE+i61HVK7vhLX/RZYMQMYwZTt0zl5rY30ylGcZqIDoxm7bi1LirchuJg7kHC/cOJNXgXcv9sctELEXslz5K8w6lIm52INu7P2MvIPpYNRDjTu2YYM1h7em2V3cMajYbwICv5es9+KPkmHSG62gVQQkgC227d5vTY6t9tG8v3+rPqvT+4asqwWq8F2LNQcXFt0tHVBvF4j8e5v8v9LsceW/UYGcYMvhlR7q2iDQ4i+r77iL4PWkmJJfU0QiPQN25MftMUtKFd0Cck4JecXK031LrT6/i/P/+Pz4Z+RvtoZYdyZEBkg9kTKvdh8bHFSKRvhEhpEfgHM7LlSLqVWuHvj6Dvv5XVw/T+kLGn9uvjO5cLkc1fKt5DZULEPxSa9FSERVgTCEtkpzRxx6aX+WDwh85ghbqi0wT7BaNtNxIaOXbC6wOgxSDvx3cWuLH1jU7vuTKyTdnszdmL2Wb2mRApthSzNWOry6pUIzQNYlR/Y+MbNA1p6hK5d9yicUxoN4FHuz/q8/YaioteiJTaSp3vM7Ye5KePDyKFlltfDCQooX47e0simhGQlk9wgjJTvjLpSq5Mck1A9PXer/lk+yf89/JZbP0theLMAoJi3P+BWi02irURNK0Q7NZoMXLp7Et5vMfjNYbuaPXgLZx6aT77UiPZ9MthmnWOJSI+CL1f1RhQh7dksHljCVF5+0kc4ZrtMcQvhBC/EJdjlyVcRpGl5tAqQgj8mpSrn8KuvbbOccYGxnJti2tdhEZ2STZb0rfQI66HT4XJu1vepWejnlzWpDyc+tIbl1Zf2JSv7DaOSlZm6Rn7IOuQsmIwFymriMI0yEuBvBPKX4sJnkujRVgLWmSegOOrFSGi0bCw1aUsiAris6ajEH5BygrAr+LKwKDYL8r41wqoGKJnzMwqXYwqSuWWwvEue2waBzfm06Gfev1dVeaupXfRJ76Pi0rzjY1vYLFZGtzz7Nrka527yn1F87DmLBntmoJXSsmXu7+kc0xnnzpaHMs/hrZS4Ne3B75NYkj9J7DnkoteiARWmMEs/mgnVr3ycNo/fz3dH6xZZVMduelGl3wY1dEyvCUjW44kUWtnq4TNn65k4OTr3W4j53QxEg2J1w10HtMIDXd0uMMlppDFbmH6jun0ie9Dz7ieCI2GAZNHUfTeRjYuTmHj4hRAEhJoIyo+EKHVUmq0UJxvIb9IQ1zzUIYO7osu1FXALT+heD1VnKE3xKaylhEteab3My7HjuQd4fE/H+fLYV8S6YFXW3VIi4k5+78nIO8Ul6XuhdzjkLZLcTE1F4PZoVJ6YJMS+G7TF7DiJXguTXnQb5kBG6a7VqoPgvCmyiuxj/LXbuFoQSqWvnfT5roPnUWtSf2wWDOx9b7bvcx5tRmeHSQEJ/BYD99uXqyJiIAIgvWuv3m9Ro/wYUBTgJl7ZnIs/xgvXvqiT+t1ByEE07ZN4/YOt/tUiFQn1Cumc7hQuOiFiKigCi/WRzLoUsmav0xkniquVz12u52cUwUkhuRRFmdy2YllrExZyav9X3WuCvo27kvfxn2RUhJvW8OelERarj9IQh/3DHYnl2wAtEQYyldQAbqAKqEfBILPdn5GgDaAnnFK6HGdXsuwmxM4NesnMg5lkptrp0gfTUa2orLSWkvxL82lpbaQAa8+SmBU1RXSN/u+QSCqqHmklG5v0vOUDtEdmHfdPJoEVx/qxQW7zWFbMCp/g6KViKgZ+2HtVBjwBEQlI3bMZv2hA3DogHKd3gARSfwvLITwgKaMCWmtHPN3rL5aD1fURmUzyL4PQNcJjhVEUHnZar6LD7Z9wImCE/w08ifnscqxp3yBzW5DIzQu96PYUsztS27n1na3+nT2XnGnehmP93jcZ/WXkV+aT3aJa0SkPVl7+GL3Fzza/VGfzd43ntnI3INzearXUy5uvetuWYefpuHznu/P2U+wPtglrND5zkUvRCyWcmNkuDWdSyaMZc+pzZiDak9NWpmikxlYdQYiGpU/3NOK09iVtctFrVSGEIKhTw9lzn82svSLPYzv1Aw/Q91eJ6kHctFbAohoXm5PKYuHVLEdnUbHjok7qjzY/Zs2JXnywySjPPgtqamUHjwIdjsagwFdo0boExNrNHR/dPlHLhvzQAnlsuT4kiruzN7w3b7vmLp1Ksuu/5WwkjzQ+WMIb0pr/2hY/AR0Hqe4jGbsg5/vLxcWZYLDanKtcORHysPealIS+XS9VVFJtRgEN3yu7CaOSFLCUgjBht/vJC4ojjGVXW8btVNeZYQn4hoirmbu73I/RWbPIyq7y9yDc3l94+ssv2m506FDp9ERa4j1aWa+s0l18bGMViPH8o/5bnc8SuKwvTl7q/zP+tqonmPK4fm1zzOx3UR6xZf7+d+z7B6uaHrFWduE6gsueiFS6njYhFoPc80zV6PRaAiiiMzDpXVc6UrGNkdo9hblnkO3trvVaaMoY8nxJUxZM4W5182lWXIzLhu0m2V/+/Pnm78x9KXra21j/+KdnCyOJEl/DE1AucDZn7OfsYvG8sHgD5wZFKHu8B2KraIJfk3cn/UE6avuer+08aXeRYa1mhX7Qc5RxdMo5wits/cwuqSEoHdaK8Hset9H8RVTWHViGZ2OriQxyREHSusHhkjQN1FWAk67QqX3CY4siI27wGPl0XPS/Q18ZjzATU060Sa4XDB/MewLz8dTA9W5h64+tZrPdn3Gu4Pe9Vl03bZRbbmjwx2E+ZV77/lr/Zl2+TSf1F/GyYKTPLDyAZ7q+ZRLytpPdnzCrsxdfHyFm5sAPaRnXE+XVZ0vGJY0rMrmYIBv931LnCGOy5td7pN2SqwlpBvTMdlcJzuvX/a6z70PG5qLXogYgsMBON0ql7Bkxfirz0ujpDSqXrGtMvadASKI71W7WiopNIlxbcc5H8atJg7n0N+fczA9mTP3LSAyUkNUiyjierYmJDIAq8VGUVoeGbtPsX1TMeElqQx+cahLnZEBkdzf+X5ahLsGdZy+YzotwlpUMe57w8w9M2kf1d5FNzwwtjsDQ5OVzWilReUGZnOx430RGKKVvAgASycrHkZ9/62ond5IdF05+IfRI6oFPaJ6QqublRVDfBdyTDk8vfE//OfaN0gsizEUlQwT5nk8nixTFkuOL2FIYsProtefWU9CUIIzEjEoGwP9NH4+ja7bOaYznWM6113QW4QSC66yo0WwPtjnYTse+eMResX1Omc5yL/d9y2dYjr5TIgkBCfw47U/Vjl+aePzJ0+Iu1z0QkSjV9Q2yUldnceCwvywF+gxZeVjiHXvnyHrdAn+Fi0hSeUusZ/s+ASzzewMUAjQNrItbSPbOj8LIRj62k1sfO0HUs9AWkkUJ7JNsKlqFNnw4hSueeJSDMlJLsfjguKc2dEqsuDwAvon9PeZEJFS8t6W97gjfiA9TmyF3neD1Yz83wCs2UfQUUsAwoTu5UIk86Cy+gDQaJXNb4GRikCITAZDJFZpq2JojrNb+OX6X3w6U2sf1Z41N6+pcvzbfd+SX5pfxZ3ZGx5Y8QDj2o5zsRlcmnCpyyzeFxRbignUBVZRyYxfPJ5BTQb5bJd3Ykgi7w56t8rxyqtvb5FSUmItqSJoTxWe4s2Nb3JnxzvpEtvFJ219sPUDbNJWxcV24fUL0Wp8m0K7Oo7kHcFsM7tsSD3fueiFiClb2TUedjjNeSwoygAnofBEhttCJNfoR5jOVd+dXlx1uVpGRUO0X2Q4/d+5BwBrTg6mXGVzXtqPi6CkmOCoIMKaRRM18Ea04eFVx2A1oRXaKgERfxv9m1t9d2KzQGkhGLMVt9Wsg8rf7EOQdxLx6B42jt+IbdEjsOt9RYjo/PiqdV/eS7OwseuzBAZElauS/IIrvK+gBhs/x7Xdvq4bJUF54BotRmZdNct5TK/R0zzMu4yQ7nIw9yDpxnSf1SelZMbwGVVm7Q3BwysfxmK3KIEQK9A8tLlPE1KdLYQQ1Xoy2aWddGO6z20i1WWj8LUAmXNgDn+e+pMPh3zoIuzf2PgGJdYSlz1X5zsXvRApsSgP+ayS8oy8QbGhgJmi0zk0quG6iuTsO0GRPpqkRq5hTKpzR9yesZ3bltzGx1d8XO3SVRcZSXBkJMFA/NNVExtVx6y9s/hw24dsmbAFP62folI6tUnZo1BaqKiTSgvh0geVsBP7FsHf0+CWOcoehFVvwur/gq0aO1BwIyUbW5vhYDHi5x8Mw99SbA0OunW9iwfTOqNpfwP4KCTF1c2vrvJwsNmVJF+VV3PesOT4EjanbebZ3s+6/DO/dOlLPqm/DCEEHaKrRjXek72HV9e/yuQ+k50JsLzlhlY3VBto8T/9/+OT+sv4ePvHrExZyY/X/uhif5tzYA6z989m3nXzqnUq8RVNQ5sy59o5dResBy/0faHa478c+YUic5HP1GkWuwWLzVLl+3mk+yM+qf9sctELkSBHfus0Y/lKJKRxJJBGUUZ+ndebis0s+u9GtCKI9qO61Vk+LiiOOzrcQeN6en/VRu/AxojQ9vj9MBEy9ipGamBWaAh+UnJzYZHy0O80RhEiQigb1mwOz7SEbkoqTv9Q8A9WwltEtYLolopbrINj+cdYsu9rRrceTax/+d6ALrFdfKZOKKMmN9Qpa6dwf5f7fSZEjucfZ8OZDQ36sAM4XXSaAzkH6B3f28VDSq/RE+oXWmXTmTeMaFFbPCzf0TysOR1jOlZx4IgIiKBFWAssdotP4lwtPLKQOQfmMO3yaS4pmc8my08sJ6sky2dCZPwl4xl/SdVJ4tnOH+8TpJT/iFf37t2lJ+QdPiWn3bNC/vTix85jRamZcto9K+Ta1+fWeF1BSrpc+/p8+d3za+RH966Q+79b6XLebDXLO5fcKZefWO5Rv6SUUlotUhZnS5lzTMrTO6TMO6kczz4i5Yc9pdy/WPl89C8pX4qUclpvKefcJuWqt6Tcu1DetfAW+cjyf0tps3rehwosObZEdpjRQR7JO+Jy3G63y2JzsbT6qB2rzSoLSguqPXey4KQsLC30STu18euRX+Wzq5/1WX3f7P1GdpjRQWYUZ/iszuooNhfL9OJ0abfbq5x7fNXj8qm/nmrQ9huCP1L+kBMXT6wyJrvdLu9Zdo/86dBPPmnnp0M/yQm/TpC5JblVzlX3fXpKbkmutNlt1Z7LMmbJpceXSovN4rP26gIlSaDHz96LfiVisioqnOAKM+vAuEiE3UphroU1U5dyYJeRxhFGrnx9DFq9jp1fLmP9OhMWXRjhwUaG3dWZ5G6ucbCKLEWU2kqr7KkARS1jX/0O+oTu0PIKJZTGj7cpIbpLCxx/C8FSacNj/0fhihcVFVNUstPOkB6dTORTKej9Xd1v/3dJ/Xbc18WwpGEMSRxSRT+8ImUFj656lLnXzqVNZJsarnafQ3mHuGnhTbwz8J0q7pZnaxNWujGdvdl7fbaJclTLUXSI7tDgNollJ5Yxee3kau9Fy/CW7u2Kd4Oskiz8tf5nxcYzKHEQgxIHVTkuhKDEUoLZZvZJO2F+YQToAqpd7fhyI+1Tq59CSsmnQz+tUu+60+v4ZMcndG/Una3pW9mesZ3/qxAh+XzkohciJRYlkGFFI6pGo8HfVszh/FjIhyAsHC2K45dHfsAuIc0eT5gsYsj4pjS+rHpXyghtIF93eRzSd8P+Z5RQGpHNyRr6AoPnDGZynpGxppsVIaL1UwSJf6iSk8E/VHkFVPob69CZ+wXBuNmAYlwcufAGrm1xbfU5p31MZeM9KPsfHuv+mM/iWUX4R/BY98eqdVP9/fjvGHQGlzhXnnKy8CSvrn+VezvfW0Udd3uH27m9w+1et1GGQW+odjxGi5FJSyYx4ZIJPkmN2iuuF0/1fKraPSn3dr7X6/rLeGvjW+zI3MGiGxa5ZJoE2Jq+lSlrp/D2wLe9tvPsztpN28i2NQq/ys4D3jC46WCXfVYVWZe6jtWpq3my55NeCRQpJdclX4fVbq22nsubXs6+nH1EBkSyLWMbf5/5G5vddlY8wzzlohciofoQIIPjBcddjnfpouNkpo1et/agcasIVk35nr3psYCkQ1wG/Z8djTagwq7uY6vh1EZI3wNpuyH7MEhHhGC9QREAhihC/UK5r/N9tIu/FBp1cZwPhLtWetR/m7TxbO9naRbarMq5X4/+yr7sfT6ZydilnWfXPMsNLW9w2WELioHTlw/cRkGNaqzv812fE2eI84kQKTAXcLLwJI0M7rhPeM6cA3MoshRxW/vbqthe/LR+NDI0qnYTpyfEB8czod0En9RVG5PaT+JI/pEqAgQg1C+UDtEdCNAGVHOl+5htZu78/U5uaHWDM9laQ7E7azdtItpUO0kC2J+7nwVHFvBo90cV5xUPEUJwdYurazxv0Bt4sueTADzW/bHzWng48UYXdj69PLWJ5Ow7Iafds0LOf3lanWXzDp6UuQdOKB92zJFy7r/KT349WsoXQqV8r4OU390sX/jxOvnswglSZh32mU2ivry7+V15/c/X+6SuM0Vn5LC5w+SSY0uqnLPZbTLPlCeNFqPX7ezO3C1Xn1pdow4605jpU5tITXacbenb5EMrHpJnis54Vb/dbpcPrXhI3r/8fq/qcYevdn0lN57ZWOP5j7d/LK+ef3WD98NXmG1mufLESrk/e3+NZV75+xX55sY3vWonz5QnO8/sLD/Y+oFX9bjDxjMbZaYxs8HbqQ94aRNpWJeUC4ASh1trWFDdqpiwVk0Ib93UcWGO4gllc9g8rnkXnk6BR3bBuNk0ajWcqPiuiu2i0mzCYrNgtHiWkKoi+aX5zNwz0yWcfUUe7f6oz8JCxAXFseD6BVzRtGp+jUxjJv2/78+io4u8bufTnZ/y/NrnMdur13NHB0ZXSc/rCWeKzmC1W2uc6ZlsJk4WncRo9e4+CSF4f8j7TBvi25AjlSm1lfLF7i9Yd3pdjWVahLWgT3wfr9v68eCPnCg44XU9daHX6BncdHCtdjat0Hrt2abX6Jk6eCo3tLrBq3rqwmwzc/fSu/lu33duX/P06qeZf2h+A/bKB3gjgc6nl6crkcMpykrk5a8+kEdyFa+jamfBpkIpFz8p5fbZymebVco6PDZqmk1f+eOVPvH8+XrP17LjjI7yQM4Br+uqjWJzca3eKSarSc7aM8sn/TBbzTIlP6XG8+tS18k5B+Z43c7oBaPlfcvu87oeX3D/8vvla+tf87oes9Vco1ebrzBajLLjjI7y420f11imsLRQXvnjlfKH/T941dbaU2ureAKeK07kn5Avr3vZq/5YbBa5JW2LPJ5/3O1rbl18q/xs52cet+kOqCsR74gwKzrQtAPbmbV3FodyDzFm0RiO5h0tL3RkJXzSFzZ8qtg6QFldVGMYyzHlsCdLyVRXkwHuX53+VW2Qt/oyod0Elt64tMa8z1vSt/DM6mfIL617v0ttvLvlXa77+boa4zv5a/25td2tPsk/rdfqXWJLVWbZiWVM2+bdrF5Kye0dbmdS+0le1eMOD618iHe3VA0NUpGk0CSfhDLXa/UN7i0VoA1g+U3LGdNmTI1lDHoD3Rt1Jz4o3qu2nlnzDDP3+M5wXhPbM7ZzKPdQrWVKrCUsO7GMtOK0WsvVhk6jo1ujbtXaL2ti1lWz+FfHf3nc5lnBGwl0Pr08XYlk7jwqp92zQq54+2uZXpwuj+UdkxMXT5Q7MnZIWVos5S8PK7aOD7pLeXxdnfUtPb5UdpjRoVY97tli2fFlctjcYTK1MNWrehYdWSS/2ftNrWXyTHle63oXHlkoP9/5ea1lisxFsthc7FU77pBnypP/Xv5vufLEyroL18Irf78iZ+ye4aNe1cyXu76UM3fPrLXMhtMbZN/v+sqdGTsbvD/eYrfb5eHcw3XO2n85/IsctWCUNFvNHrc1ZuEYedfvd3l8vbvszNgpN5ze0ODt1BfUfSLeYXSkdRVCEGtQ9nrMvGqmkqfisyGQuU8JFzJ4spKTug66xnbl7QFv1zrbsNgsFJgLXJLe1JdtGdtYfHQx93W5r0bX2iuaXeGTHOG1eZOUMXbRWLrEduGNy97wuJ0NZzZwIOeAS6rVyvjCiym1KBWb3UZiSGKNq8UAXQBnis94bROZ3GeyV9e7y7aMbeg0OiYyscYycUFxXNPiGq9WK6tOriK/NN8n7si1IYQgOTy5znJB+iCaBDfBZDPV6FlVF6/3fx2L3VJ3QS+ZuXcme7P3sviGxW5fM2P3DA7lHeLVynltzie8kUDn08vTlcjedX8r3lmvVfDO2v69lK80kvKtZCkPebHjvAae/utpOWzuMK/qmH9wvuzzbR9ZZC7yUa+qp9hcLPNL8+sst/jo4lo9g9ylrp26Kfkpcvr26V7t/H7l71dk32/7+nQXsjd8s/cbOfiHwTXuYnaXszGeh1c+7JbH33Orn5Pjfx3vcTt7s/bK3479Js02z1cYvubdze/WuSKvjYzijHprKD7e9rF8aMVDHrfpDqg2Ee+I8ldWA83CkpQD66bxwaonuKtJIty7FlrWL3/AutPrOFN0ptYy1yVfx32dq4Zurw+jWo1i3bh1tc7MC82FPPnnk/x50vOMg6tOrqLf7H4cyTtSa7mrml/lTMPrDXXtqE4tTmXa9mleeQeNaTOG1y97vcHT+X6771uGzxtepydeYkgiAxMHer3z2p3xSCm9aufdQe/y1bCv6izXObazV/nCFx9bzHOrn/NpTLHqOF10mt+P/+5WxsnDeYfrtJ3URowhpt4RHe7rch/vD3nf4zbPCt5IoPPp5elKJH3zATntnhVy2ye/KgfS9sjv5o6Rr6x7qd51WWwW2XVWV/nfzf/1qC++xmw1yxHzRsj5B+d7XMeR3CPyy11f1qlzLiwtlIdzD3veTt4R+ezqZ+XRvKO1ljPbzLLUWupxO/Vh6papcsqaKR5f/0fKH3Lymsk+7FH1bEvfJh9f9bg8XXi6zrI3LLhBPv3X0w3eJ28pNhe75QlltVnl6AWjPfZgmntgruwwo4M8WXDSo+vdJc+UJ+cemOv1vqOGAHUl4h1FpcoMJO/MdpASGrVj3OgfmNz3+XrXJRB8fdXX3NTqplrLWewWThedxlQ5D7ib2KWdB1c+yIqUFbWW02v1/HrDr4xqNcqjdgBahLfg9g6316lv/nrv11y/4HqPZ7kZxgzWn1mPzW6rtZxeo/dqx3CprZR1qevc8ljTCi2Sqrkl3GVQ4iBe6feK2+XrGntN5Jhy2Je9zy2bwPUtr2dAkwEetZNpzGTqlqkczz/uVnmb3ebx78GgN9AirEWd5bQaLZdEXUJcUFydZatjRIsR/Hjtj157ktXFodxDvPj3i3Wu6Cuz4cwGJv02ySuvsAbHGwl0Pr08XYns+ONPOe2eFfLne26SMnWrR3XUl3Wp62SHGR08tiHkmfLk6AWjfRa9tDaO5B1xyxvqQM4BufT40rOySpi9b7ace6DmCMu1sS97n+wwo0O1O+99jbtRja02qxz8w2D5/pb3G7hH3rE5bbPsMrOLW7/bTGOm7Darm5y1Z1a927HZbfKLXV80+P6n+pJnypP3LLtH/nrk13pfa7VZ5anCU/X2LNx0ZpOctPh2ufb4PrnhaLbMK1Y0ApuP58iHZm+VYz9dJ8f97+9696ciqN5Z3qF4ZJ0mqdUIaKykyN14ZiOT107mwyEf1kuHuT1jO4XmwjrjOrWJbMOLfV8kKTTJoz6H+Ycx97q5bpX9fv/3rD+znqmDp9a7HSklt/x6C9clX8ezvZ+ttWzriNY+2SfiDstOLMOgMzC69eh6X9s0pClfDvvSLc+fMqSsfyRfk9XEpbMv5fEej1ebN6IiWo2Wq1tcTdfYrrWW8xX5pflIKQkPCK/Xdd0bdWfThE1ulY0OjOb2DrfTMbpjvfuXYczgvS3vEeIX4vZvqtRWSpG5qN4ej/MPzSc5PNmtnPQhfiEYLUZssvoVo/I8VmxTNrukoMSCxW7HapNYbHYstjAMQodBD/lGC6sPZ2IstWE0Wyk2K39HdIynfeMwtqbk8uTcnaQXmCg0jWbVn4cR2u18NXEIg9rEUlBiYVtKHo1C/WkcEVivMfuai16IKOlmT+PXrofzWGRAJD3jetY7oc7s/bPZnrGd32/8vdZykQGRHj0APcFqtzrzU9c38ZJd2nml3ytuJ9BKKUih0FLoUWKdl/9+mWahzdzaADh96PRqA/+5g0FvcNsBwGq3MvG3iVyWcFm1Oexrw2K3MKn9JC6JdC9XdsW86/Xl4ZUP0zu+t1sJkwrNhQyZM4Sxbcc6A/3Vh/qEkn+g6wP1rh8UV+R149bVaVTPLTZjstooMVu5Z9UYogPieLXPh7SIUcLirDqQgcliw2yTWG3Kwzwx0kDfZEXQfPLnfqYff4X2QdfSMcgPs9VOj2aRXN0pHrPVzoOzt2K22jHb7Jitdkqtdm7s/jLXJieRW2xm6Ht/YbbasNrLhITkyeFtuH9QS1JzSxjw9h/OvurD12O3RPLCFaOY2DeJ0/klPPDdNpfxaDWClrHBtG8cRlignlaxwfRvGU1sqD9Sf4bph58hV4QCIxjcNpbBbV3TT5wrLnohki8Uu0RG9kYuQUlf2jKipUd+2c/2ftYlzW5tFJgLOJJ3xKPZ58w9M9mdtZu3B75dZ9kJ7SZ4HNVVq9EytNlQt8s/+deT+Gv9PQrPnWnMdDtrnacCBGBT2ib0Gr1bmRh1Gh3J4ckklXnu1YMQvxAe7vZwva4pMBewO3M3lyZUTZtcE3Zpx2K3VJu3pqZ+Te4zmc6xdc+8lQenTZlJ2+18tvtjGhsSub2zYvM7nFFERoGJUpudUotSVqfRcHUnxb7wy47T7D6Tyu7C32jtPwqLDaKC/HjsSmV1//bv+zmQVojFJrHa7ViskhYxQbwxuhMhfiH8a+Ym9p0pxGyzU2qxUWq107tFFLPuUKJIXzttDadylRTKupCBHLGG8kbufv43UZkQPvrDdnKNrvs/RnVNcAqR95Ydw2yfzN/CxmZxHH+tBr1W6b9WIzieZcRPp1FeWg1BQToMfjqklKxP/5MBbQMJ0Yej12rQ6zToNYIezZQ9W5HBfrxwbTt0Wg06AR8efps2ob24rFUMAM2jg1j26AAM/joMei0Gfy1+Wo1zxZscE8wnE7o7+51pDCMg9BH6NenB+YYoW4Jd6PTo0UNu3ry53tdtW7qSdfOhWdQSrnn1rQboWfW8sfEN5h2cx9pxa+ttKP581+fsztpdLxWVyWoiQFe/0Nyni05TbCkmOTzZrVXMhjMbaBbazGMjZ334387/sTtrN+8Pfr9eqqabF91MkD6IL4Z90YC9U1RGwfrgOkN5Symx2CSlVhsvr3+BP1NXsHjUEqINEWQVlXI8q7j8IeuY7fZrGU2wv44DaYVsTcnFalNmyaVW5WF798Bkgv11LN2TxpLdaeXnrMqDeNYdvQjQa5m28hDfbjiBxab0wWqzY5OSfS8PRwjB0/N28v2mk86+GpKmoTE3Y/dD0wF44LutLNrp6s4eG+LPxueUDa53zNjEX2d+IyBuPuLM/fjZmpMcE8yce/sC8PicHew7U4BeK9BrNei0glaxIbRts4Mw/zD2HGxJeoEJf50Wf50Gf52GFjFBjO2pBEH9adspTBa745wWP52GuNAAOjZRJiN7TxcA4KcT6DRK/cH+OsINyv9bidmGTivQaUS9fkNpxWlcNf8qbmt/m9sTBYtdCbrqi/S+ReYi8s35JAQneF0XgBBii5TSY+l00a9EGgVEA1k08wt1OT5i/giGJw3noW4PuVVPpjGTpSeWMrTZUOfO99oY1XIUw5OGezSrrm8snZl7ZvLV7q+YP3J+vRJHfbPvG+YcmMP6W9a7JUR6x/cGXHXDDUVEQAQBugBMNhOBOvd1wh8O+ZBCcyGAU29tstootdidf+PDA4gNCSC/xMJfBzMxWWxsyv6NWH07gjTxDG4bQ9u4UFKyjcz8+zhWm71cZWKX3N4vien7nyW1MIvg7McwOWbpymzdzntjO9O9WSSLdp7mwdnbKJvHCV1HhK4ZqdmCaAMs35vO0/N3VRnD8scG0DI2hNWHMvnPr/uqnB/bqynB/jpO5Zaw8XgO/joNAXqt82FrtUtMVhPrCz8ksVlTWgYOQ68RyqxZK5BSCQs3omM8yTHByoNWq8FP+yl6bfk9fWBISyb0aebyEA/0Kxean97aHQ3dySi5i/jgqt5P/x1T/Wpo0m9vE2uI5e3htWfmHNW1apbL6Tum8+OJ07x46Yu0axxazVXl/HDwa+KC4hjefHit5SoTFxTHV8O+on20orZNL04n1hBb7e9dSonRaiRIH+QTASKlZOKSiSQEJfDh5R96XZ8vuOiFiHS4VQqN6w9gUOKgehnVd2Xt4o2Nb9AlpotbQqRi3Z4YbutD38Z9OVV4qt5Jgsa1GUef+D710oMbLUae+uspBiYO5MbWNwLK+CrqjTUCQgIU4Xk8q5ifj8xhQ8ZfPNz+Taw2DVHBflwSrzwAZm9MwWi2UWq1KQ9ji42uTcO5sf2NjGwxmodmb8NktTnrttrsjOqawK19k8g3WrjuozVYbRKzzY7VUebBIS25ZyCczivhsrf+qDKGl65rz6RLkziTX8KDs7chtMUEJX+GJa8HpRnXEB3sR9u4ULKLS/l+Ywo6hxqkbEZ9fdcERrUaxYH0HP5MtxOo1xIeqMdfrzxsg/yV77NVbAgPDm6Jv758pu2v05IQEYjRYmRgmxhm3dELnVbgp9U42hE0iTAAMLZnIodsX1FkLeCN/u/gr9Oi15bPqu/o35w7+jev9j5JqSUs2Eb35Eju6FC98XtA6xgGtFbUL9WtZNvG1f6Q1muViUeZAPn58M+E+IVwedPaN/DOGD6DQkthrWVqw2Qrd53/+fDPdIvtRtPQpi5lpJRsy9hGjCGm3kIEcKpDjRYjw+YN497O93Jv53uxSzurT63mkqhLiDXE8tWer/hm7zd8ePmHHtkKKyOE4I4OdzidctakruHtTW+z4PoFXtftKRe9EMkz5QKQY3fNyVFmdDyad5T3t77P072ernY2VcaQpkNYedPKenu8fLLjE9KL03nx0hfdKr8tYxsv//0yb1z2hltCzm6XNAlqwX0dnyCv2EaapQi7hJaxivFxf1oBWYVmLHY7FqvykA3Qa7j8kkYkhiay87iOTw4fwWSxYbLaMJltxIYG8O/BLQGY/PMuDqUXYXKoUkosFkSjfPolKDr6y/+7iiOZrrnih7ZrxGcOvfWN09eRrzuGNtjIzWsVz5/ruzRm6s2KreilhXswWcqjB/vrNFhszRjeIR6dBg5mp2AJ3EyMfQR6jYYgfx1+OuXh5afT0CUx3PmAz7HvxEIhl8QrdUcEKXrrsll62d82cUpsqaQoRW/tr9OSaepMi/AkAvQ67Ci/la5NI9jzctUHkDIpGMrQZvBAryqnnbSJC6FNXNV7OO/gPN7a9BZzrp3DgNbNapxkhATo6dG4EwdyDjiFsrsIIZg2ZJqz3g+2foDVbuWxHo8BireTBg16rZ4VJ1YwZe0UpvSdwlXNr6pXO2UYLUam75hOn/g+TiHy/tb36RPfh97xvTHbzLy35T0mtJtAQnACoX61C6iauLfzvdjsNjRCQ3ZJNlPWTuHx7o9zW4fbSCtOY+JvE3msx2MMTxrO//X4P8ICvF8dPNv7WacX2pG8Izyw8gHevOxNRrQYwVVJV1FkLqJVeCuv2ynjmhblK7TIgMhq88+fTS56IWIsLQRCKJbVGyYzSzI5mn+UfHM+8dS+ISnGEFPtcbtdOrxIbJRYlL9J0UHotRoyCos5lpvP/G0p2GzCqf8e2zMRf52WNYey2HgsG4tdYrHaSSs9RkFJsFMt9eWaYyzdm0aJY5ZustjQCMHK/xsEwMM/bGfhjtMACL9M/GOWElx4M5ufvQ6Ad34/wPJ9GS79TYoy0LqJmQM5B5i13p8NR8t0yxoCdBo6NQl3CpESsx0pITRAR2CIPwF6La0bTeHmtq2wSztXdgGdrSV+ZcZHrYakKIOzrf9c3xG77IBOIwjQawnQa4kNKfeK++vJwfhrtfjrFeOmpsKKUaMR3H5lEdO2LefTUY8QY4ghrTjN+d0E+ml5/+Zyx4Xn185le+Z2Lmul5BoP9tdxe7/qZ+oAAXotrRopAqUpysM+qySLoXOH8kLfF7i+5fUYLUZSi1JJDEkkQBfA9oztvLvlXWYMn1Fvb7gyBiUOYlvGNqdX3Be7v+C3Y7/x7YhvCdAF8NOhn9iTvYfJfSZzU+ub8NSuWVEw5ZfmuyQCG7twLK0iWvH2wLfpl9CPSe0neeWCbNAb+O2G35wBLQvMBfx48EcCtAH0ju+NQPDDgR/QCA1P9HzC43YApx0qMiCSJaOXOFfg/lp/esX1IiZQ+T+tLeWAuxj0Bpew+I2DG/PdiO+cof3jg+PdVol7Qruodl7nsfeWi16IxAXGACaa+odXe753fG8WXL8AjdBQaLJwItvI8exi+iVHExHkx7ojWXyx5jBH7N8QXNofe2kCJouNL27rSfPoIGasPcaLC/dWqXft00NICA8ksvQ6vlp7iD/ZhcYvA7s5CtByXefGihA5nMX0P48oD2GtQK8LRq+dRJif4mFitdux2yEsUE9gqPIQL1OXAFzbKZ72jUMJ0GnItR7l25QjPN5P0SWfKDjBvwbFcPeAZKcqRq/VEKjXsiNzJVPWTGHB2N+JCYzCX+f6AC+jJr02wL7sfXxz6kHeGfgOw5KGUWQuYl/OPuey/nDuYf7K/ZLXLnutxjpiQ2pXwY2/ZDy943s7BfhTfym5uMs8xF5Y9wJNQ5pyZ8c7eaHvC5wqOuW16vD29rc7x7Anew93/H4HXw77kp5xPSmyFFFkKcJoMXqcgTEqMIr/9P+P83OTkCZ0jO7oVCedKjrFvuxyW4gvVKFT+k5x+XzLJbc4hXGALoB7Ot/jdRtCCGest1C/UNbcvMaZo0av1bP11q1et1G5vYrG54iACJfvtSEI0gfRMab+e2MuZBrUO0sIMRx4H9ACn0sp36h03h+YBXQHsoGxUsrjjnPPAHcCNuAhKWWtmy889c46uWglvyyCwS22c8kTj5JTbOZEjpHECAMxIf5sP5nHywv3cDy7gEL9OiyFHcEWxKw7ejGgdQzL96bz5vL1ZIS+RlPbnTTSdSVAr+Wp4W1JjDSwLSWXVQcyMfhpCfRTZtqBei1D2sYS5K8jo8BEVpEZnU4yafkIBiZczhPdnyPC4MeWjM0kBDUhPjgOo9XIw388zH8H/tcrA11WSRbRgdEAPLjiQY7mH+XXG34F4NX1r6LX6nmy55NYbBZWpKzwSF9cRp4pjxUpKxiUOIiowCgWHV3EM6uf4eeRP5McnswvR37h3c3v8usNv/okxDsoASMB5xL/sVWP0TysOQ92fdAn9VcmuySbTemb6B7bnRhDDAXmAnRCh0FvqPtiFZXzAG+9sxpMiAghtMBBYChwCtgEjJNS7q1Q5n6gk5TyXiHEzcAoKeVYIUQ7YDbQC2gMLAdaS1nDVlE8FyI758xh9cpo0C1jetQgCksVtdZbozsxpmciB9MLeWHBHiIiMlhrfIFbW0xhRPIVZNv2MHPvF7zS7xXig+M5XXSa+KB4j2eFFruFP0/+SSNDIzrGdCSrJIvBcwbzdK+nGX/JeDKMGQybN4yvhn3l1h4Hd9iTvYc8Ux79EvoB8NqG19Br9F6rE2oiw5jB8fzjdIzpSKAukDxTHhqNxmP9t4qKiveczy6+vYDDUsqjAEKI74GRQEXdzkjgRcf7ucA0oTyFRwLfSylLgWNCiMOO+v72dSeNNmWzUpbdxqhuCTSLCqJZpIFOicpsv3WjEGbf3QeAv0/H0KNRD/RaPetSJWa72an3bhzs3q7umtBr9C4JpAw6A7OumuXUi0cGRPL76N/d8vxyl8reInWFNvGWWEOsS//r64SgoqJy/tGQQiQBOFnh8ymgd01lpJRWIUQ+EOU4vr7StVV21ggh7gbuBmjatGnl027R9vKbSM89xOCBT9CuffWG8TL6Nu7rfH9pwqX12llcXwx6g4shU6fR+VSAqKioqPiCC9qwLqX8H/A/UNRZntQRHmtg5P11h4BQUVFRUalKQ+YTSQUq+tA1cRyrtowQQgeEoRjY3blWRUVFReUc05BCZBPQSgjRXAjhB9wM/FKpzC9AWdjWG4GVjvj2vwA3CyH8hRDNgVbAxgbsq4qKioqKBzSYOsth43gA+B3FxfdLKeUeIcTLKElQfgG+AL52GM5zUAQNjnJzUIzwVuDftXlmqaioqKicGy76KL4qKioqFzPeuvhe9DnWVVRUVFQ8RxUiKioqKioeowoRFRUVFRWPUYWIioqKiorH/GMM60KITOCEF1UoKQ7/WahjujBQx3Rh8E8cE0AbKWWIpxdf0DvWKyKlrD1mSR0IITZ746FwPqKO6cJAHdOFwT9xTKCMy5vrVXWWioqKiorHqEJERUVFRcVjVCFSzv/OdQcaAHVMFwbqmC4M/oljAi/H9Y8xrKuoqKionH3UlYiKioqKiseoQkRFRUVFxWMueiEihBguhDgghDgshHj6XPfHE4QQiUKIP4QQe4UQe4QQDzuORwohlgkhDjn+RpzrvtYXIYRWCLFNCLHI8bm5EGKD43794EgzcEEhhAgXQswVQuwXQuwTQvS90O+VEOJRx29vtxBithAi4EK7V0KIL4UQGUKI3RWOVXtfhMIHjrHtFEJ0O3c9r5kaxvS247e3UwjxkxAivMK5ZxxjOiCEGOZOGxe1EBFCaIGPgKuAdsA4IUS7c9srj7ACj0sp2wF9gH87xvE0sEJK2QpY4fh8ofEwsK/C5zeB96SULYFc4M5z0ivveB9YIqVsC3RGGd8Fe6+EEAnAQ0APKWUHlNQPN3Ph3asZwPBKx2q6L1eh5DlqhZKi+5Oz1Mf6MoOqY1oGdJBSdgIOAs8AOJ4ZNwPtHdd87HhG1spFLUSAXsBhKeVRKaUZ+B4YeY77VG+klGeklFsd7wtRHkoJKGOZ6Sg2E7j+nHTQQ4QQTYCrgc8dnwUwBJjrKHIhjikMGICSSwcppVlKmccFfq9QNi4HOjKUGoAzXGD3Skr5F0peo4rUdF9GArOkwnogXAgRf1Y6Wg+qG5OUcqmU0ur4uB4lcywoY/peSlkqpTwGHEZ5RtbKxS5EEoCTFT6fchy7YBFCJAFdgQ1AIynlGcepNKDRueqXh0wFngTsjs9RQF6Ff4AL8X41BzKBrxxqus+FEEFcwPdKSpkKvAOkoAiPfGALF/69gprvyz/l2XEH8JvjvUdjutiFyD8KIUQwMA94REpZUPGcI+3wBePPLYS4BsiQUm45133xMTqgG/CJlLIrUEwl1dUFeK8iUGaxzYHGQBBVVSgXPBfafakLIcRzKKrwb72p52IXIqlAYoXPTRzHLjiEEHoUAfKtlHK+43B62RLb8TfjXPXPA/oB1wkhjqOoGYeg2BLCHSoTuDDv1ynglJRyg+PzXBShciHfqyuAY1LKTCmlBZiPcv8u9HsFNd+XC/rZIYS4DbgGGC/LNwt6NKaLXYhsAlo5vEj8UIxKv5zjPtUbh63gC2CflPLdCqd+ASY53k8CFpztvnmKlPIZKWUTKWUSyn1ZKaUcD/wB3OgodkGNCUBKmQacFEK0cRy6HNjLBXyvUNRYfYQQBsdvsWxMF/S9clDTffkFmOjw0uoD5FdQe53XCCGGo6iJr5NSGiuc+gW4WQjhL4RojuI0sLHOCqWUF/ULGIHioXAEeO5c98fDMfRHWWbvBLY7XiNQbAgrgEPAciDyXPfVw/ENAhY53rdw/LAPAz8C/ue6fx6Mpwuw2XG/fgYiLvR7BbwE7Ad2A18D/hfavQJmo9h0LCgrxjtrui+AQPHsPALsQvFMO+djcHNMh1FsH2XPiukVyj/nGNMB4Cp32lDDnqioqKioeMzFrs5SUVFRUfECVYioqKioqHiMKkRUVFRUVDxGFSIqKioqKh6jChEVFRUVFY9RhYhKgyKEiBJCbHe80oQQqY73eUKIvWe5L0kVo5l6WVe4EOJ+X9TlK4QQ9wohJjre3yaEaFzP648LIXYJIXpUOBYthLAIIe6t47roao6PdUSEXVSffqhcWKhCRKVBkVJmSym7SCm7ANNRorp2QdkrYa/lUgAq7Hg+3wgHzishIqWcLqWc5fh4G0oIkvoyWEq5ucLnm1CC9I3zoD8/AP/yoA8qFxCqEFE5l2iFEJ858lAsFUIEAgghVgkhpgohNgMPCyEudwQr3OXIj+DvKOecAQshegghVjnexzhyP+xxBDg8UWGmXFub7ztWSbuFEL0cx18UQvxfWYcd55KAN4BkR/m3Kw9MCDHRka9hhxDia8exa4WSX2ObEGK5EKJRhTa+FkL8LZS8FXc5jgcLIVYIIbY6xj6yjvpfFEL8nxDiRqAH8K2jf1cLIX6ucO1QIcRPbt6jccDjQIJQoirXxIMV+tnWzbpV/gGoQkTlXNIK+EhK2R7IA0ZXOOcnpeyBsit4BjBWStkRJYDhfXXU+wJKmJT2KLGpmrrZpsGxSrof+LKONp4GjjhWWU9UPCGEaA9MBoZIKTuj5EQBWAP0kUrgxe9RQk+U0QklPlhf4HmHKsoEjJJSdgMGA/91hNmoqX4ApJRzUXbEj3eMZzHQVggR4yhyuxvjQwiRCMRLKTcCc4CxtRTPcvTzE+D/aimn8g9DFSIq55JjUsrtjvdbgKQK535w/G3jKHfQ8XkmSj6O2uiP8pBGSrkEJSGSO23OdlzzFxAqKmR8qydDgB+llFmO+sryOTQBfhdC7AKeQEn+U8YCKWWJ45o/UPI4COA1IcROlJAbCSihyGuqv1qkEpbia2CCY0x9KQ//XRtjUYQHKN9nbSqtsqCflb9TlX8456u+WeXioLTCexsQWOFzsRvXWymfCAX4oM3KMYBkpTbq0051fAi8K6X8RQgxCHixjrbHAzFAdymlRSgRjT1t/ytgIcrq5kdZnuejNsYBcUKI8Y7PjYUQraSUh6opW/a92lCfKxcV6kpE5XznAJAkhGjp+Hwr8Kfj/XGgu+N9RbXUWmAMgBDiSpQAh+4w1nFNf5SorPmONro5jndDyZkBUAiE1FDPSuAmIUSU47pIx/EwykNrT6p0zUih5CWPQgk4uclRPsMhQAYDzeqovyIu/ZNSngZOo6jBvqr5K1AQQrQGgqWUCVLKJKlEU34dDwzsKv9sVCGicl4jpTSh6PB/dKiB7CheXqBEjn3fYYC3VbjsJeBKhzvvTSgZ6QrdaM4khNjmqL8sH/g8IFIIsQd4ACXiM1LKbGCtw9DuYliXUu4BXgX+FELsAMrC87/oGMcWIKtS2ztR1FjrgVccD/1vgR6OcU9EiZJbW/0VmQFMdxjWy1Zb3wInpZT7qilfmXFAZeP7PMdxhBCLRT1diFX+mahRfFX+cTi8t2xSSqsQoi9KFsEudVyzCvi/Su6tZwUhxItAkZTynQZuZxqwTUr5RQ3nj6OENK8s4LxpcxDK93qNr+pUOb9QVyIq/0SaApscs/QPgLvOcX/OOY7VTyfgm1qKZQIrRIXNhl62ORb4GFfHBpV/GOpKREVFRUXFY9SViIqKioqKx6hCREVFRUXFY1QhoqKioqLiMaoQUVFRUVHxGFWIqKioqKh4zP8DGkj7ZMxVXTQAAAAASUVORK5CYII=\n", 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\n", 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", 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o0aMHo0ePJjc3t/S6J598sjTc/vbt29m3bx8ffvghb7zxBt26deOvv/4qV8bc3FxuvPFGunTpQkxMDN9//z0AU6dOpUuXLnTu3JmHHqr6acgrr7xCr169iImJ4cknnyzd/+WXXxITE0PXrl257rrrWL58ObNnz+bBBx+kW7duJCQksH79evr27UtMTAxXXHEFGRkZgDGhdPLkycTGxvLWW29V70M4Be5MotwGfOTqQP8cmKqUynIncaXUHGDOCfueKPN+iBtpTAGmlNke707enpBuCyXj7A9goGnVcuPcG/+x76IWFzGu/TgK7AXcNf+fC2mNaj2Ky1tfTkZhBvcvur/csc+Hf15pfps3b6Znz57VKmtERARr164FjLVYjm2npqZy5ZVXMn/+fAICAnjppZd4/fXXeeIJ42sqMjKStWvX8v777/Pqq6/yySefcMcddxAYGMgDD5w43gieffZZQkJC2LRpEwAZGRkcPnyYhx56iPj4eMLCwhg2bBizZs3i8ssvP2lZ582bx65du1i1ahVKKUaOHMmSJUuIiIjgueeeY/ny5URGRpKenk54eDgjR45kxIgRXH311QDExMTwzjvvMHDgQJ544gmefvpp3nzzTQCKi4upTrSS6qiyclFKfQJ8IiLtgBuBjSKyDPhYKbXQ7ALWpnRbPbLtztouhqZpNTR27NiTbq9cuZKtW7dy/vnnA8aXb1xcXOl5V155JQA9e/bkhx9+qDKf+fPnM23atNLtsLAwlixZwqBBgzg2sGjChAksWbKk0spl3rx5dO/eHTBaQ7t27WLDhg2MHj2ayMhIgNJlAcrKysoiMzOTgQMHAnD99dczevToCv8OZnIr/ItrQmR71ysV2ADcLyK3K6XGmVg+TdPOUJW1NPxsfpUeD/MNq7KlcqJOnToxc+bMkx6z2Ww4ncd/CJ4YFv/EsPfHtpVSDB06lKlTp5403WMrXlqt1tPST3GsTI888gi33357uf3vvPNOjdM+neH/3elzeQPYDlwCvKCU6qmUekkpdRnQ3ewC1qbowu00dh6u7WJomgYMHjyYoqIiPvroo9J9Gzdu5K+//qJ58+Zs3bqVoqIiMjMz+fPPP91Ks2/fvixbtozdu3cDkJeXV+XosxPD7Zc1dOhQ3nvvvdLtjIwMevfuzeLFi0lNTcXhcDB16tTSlsXJXHTRRXz22WelfT+HDh0iOTmZwYMHM2PGDNLS0gBIT0//R3lCQkIICwsr7Qv66quvKs3LTO6MFtsIdFNK3a6UWnXCsbN6wYIQ6UT9ota1XQxN0zAW+frxxx+ZP38+rVq1olOnTjzyyCM0aNCApk2bMmbMGDp37syYMWNKHylVJSoqiilTpjB+/HhiYmKIi4urMkz+ZZddxo8//njSDv3HHnuMjIwMOnfuTNeuXVm4cCENGzbkxRdf5IILLqBr16707NmTUaNGVZA6DBs2jGuuuYa4uDi6dOnC1VdfTU5ODp06deLRRx9l4MCBdO3alfvvN/qsxo0bxyuvvEL37t1JSEjgiy++4MEHHyQmJob169eX9h+dblWG3BeRP5VSF1a170xW3ZD7d3/+F3N3prDoweE0Dfc3oWSaVnfUxZD7mvs8HXK/wpaLiPiKSDgQKSJhIhLuerWg8jAuZw3bwemEtX2C8d88BI7T87xV0zTtbFDZY7HbgXiMTvy1rvfxwE/Au5Vcd9bY0XABRRYhK3gR+/40f1y4pmna2aLCykUp9ZZSKhp4QCkVXebVVSl1TlQuhUWlQZr55OjBSs7UtHPDubBy7bnIjM+1wqHIIjJYKbUAOCQiV56kMFUP+q7jki1+SHEo/t7ezM7fz5MOJ17WMyLWp6addr6+vqSlpREREYGI1HZxNA9RSpGWloavr69H061snstAYAFw2cnKA5z1lYs1YA8AFzS+gV93z+fvFfPp129YLZdK02pHkyZNSExMpLpLWGhnLl9fX5o0aVL1iaegwspFKfWk699/xng4R/QrCiWJLJ4ZeC8Dli2mW/LN7PX7gPwj6+l06WO1XTxNO628vLyIjo6u7WJodUSVM/RF5D6MmGI5wMdAD+BhpdS8Si88C3xw2/Ex7Efa38Btm3uxbeWHELCPj1a0pFfcNbVYOk3TtDOXOx0INymlsoFhQARwHfCiqaU6A7Xt24JNrb/DHrgfuwgPb/+r6os0TdPOUe5ULsd67i7BWFdlS5l954z+zboTV38IwbYoBkfcS8LOYazck1bbxdI0TTsjuRO4Ml5E5gHRwCMiEgScc6GCRYSPhr8BQGGJg6IN75M7/WbUQ98jFmstl07TNO3M4k7L5WbgYaCXUiof8MYIvX/O8vWyMqx9Li9F7eLjRV/XdnE0TdPOOFVWLkopJ9AEeExEXgXOU0ptNL1kZ7iLRtxLiiWCD/Z8R4n91JdK1TRNO5u5E3L/ReA+YKvrda+IvGB2wc50AT4BXN3qFuxeB3j++6qXLdU0TTuXuPNY7BJgqFLqM6XUZ8BwYEQV15wTHuk/gWb2SH7L/401a76v7eJomqadMdyNZRJa5n2Iu4mLyHAR2SEiu0Xk4ZMcv19EtorIRhH5U0San3A8WEQSReTdMvvGi8gm1zVzRSTS3fJ4mtVi5cXhH1KEN/evW4bDqeMuaZqmgXuVywvAOhGZIiJfYERGfr6qi1xLI78HXAx0BMaLSMcTTlsHxCqlYoCZwMsnHH8WWFImTRvwFnCB65qNwCQ37sE0XRq34+4O73Eg4QI+W1L5CnaapmnnikorFxGxYAw77osRS+x7IE4pNd2NtHsDu5VSe5RSxcA0oNzya0qpha4RaAArMQYOHMu7J1AfKBsJQFyvADEi5wUDtb4O8S194pgUfZS4JZewadvS2i6Opmlarau0cnGNFPu3UipJKTXb9TriZtqNgbJx6hOpfJGxm4HfoLRSew144ITylAB3ApswKpWOwKcnS0xEbhORNSKyxuxAeyLC2Iv7c3vjAP799zmxGoGmaVql3HksNl9EHhCRpmVWowz3ZCFE5FogFnjFtesuYI5SKvGE87wwKpfuQCOMx2KPnCxNpdRHSqlYpVRsVFSUJ4t7Uk2btaNN+FgSZQufx883PT9N07QzmTuVy1jgboy+j2OrUbqzIP0hoGmZ7SaufeWIyBDgUWCkUqrItTsOmCQi+4BXgYmuIdHdAJRSCcpY3eY74Dw3ynJavDl8MhZ7KF+ue5yiwvyqL9A0TTtLuTOJMvokr5ZupL0aaCMi0SLiDYwDZpc9QUS6A//DqFiSy+Q5QSnVTCnVAuPR2JdKqYcxKqeOInKsKTIU2OZGWU6LUL8A7ogcSKpXLsO+uZptSem1XSRN07Ra4c4kSi8RuVdEZrpek1yPpyqllLJjjOT6HaMC+E4ptUVEnhGRka7TXgECgRkisl5EZleQ3LE0DwNPA0tEZCNGS+aMmtB5+2XPMCZoFOl5zRj17t98v3RDbRdJ0zTttJOq1k4WkU8AL+AL167rAIdS6haTy+YxsbGxas0ad57keU5KThHvfz2dUWkP812rkbww/sPTmr+maVpNiUi8Uiq2Ote60+fSSyl1vVJqget1I9CrOpmdS6KCfHj0hst5PyqGn4uXsXS/bsFomnbucKdycYhIq2MbItIS0JEa3WDzC2byqC9QDl+eX/FGbRdH0zTttHFnPZcHgYUisgdjAmNzzvGQ+6eiY4P6dFK92Fr0F9vTdtI+om1tF0nTNM107owW+xNoA9wL3AO0U0otNLtgZ5Mnbbl4OxWvrvy4touiaZp2WlTZchERX4xJjf0ABfwlIh8qpQrNLtzZos3I57F99SJHrEG1XRRN07TTwp0+ly+BTsA7wLuu91+ZWaizjVdYUy5reTfbt8eSlltU9QWapml1nDt9Lp2VUmWjGS8Uka1mFehsdX3DAzSxfM5DvyfStlkmD8Y+iBF78yTy0uDdWDJ73MWswFGsO7yJIUkf4tv4WgpaDqWQ/YSrNGJaxVEvKOL03oimaZob3Klc1opIX6XUSgAR6YN74V+0Mpo6DnKVbzxv7A/h79y/aRPahivaXHHSc2duL6DEMYhpq/aT0PBaxFrAGn9Fn9Vb+eHvSEKbfIIjaDdsAIsjkquib+DRgdditVhP811pmqadnDuTKLcB7YADrl3NgB2AHVCudVXOaLUxifIf7MUUOISr/reCgz7/pWmkjV+vnF2+9VKUw6IVK7lx/hHqRf9Ovm0DLYLaMLnn3YT4hNEyqDNpuUVsSowndc8sNuDHiuyNlNgO0KMwmDfHzyMsOKD27lHTtLNKTSZRutNyGV6dhLUT2Lzxs8FH13Rl1GcdOeg7jwM5B2gefHzxTbVnEYMWXcvFkY+xPegwN7e/h+s6Xoefza/0nPAAb9rUHwQ9BwFQ4nDwzrc30S51Ldd8uIgZ911EoI87H6umaZp53BmKvL+y1+ko5FlDKZr8eh0vWpYBsCV1S7nDe306cHfxvQzofRlzr5rLbTG3latYTsbLauX+674gfPRctqU7eWber6YVX9M0zV3ujBbTPEUEYm+kOPp6itP6EWRtUO7w4qNF/BGRScsmNryt3qeUdFzbxsS1W85v6Y+x4ageb6FpWu3Slcvp1ukKIruPoSh5BPbCJuUObd0zA5/IRXj75FUr6aeDSghwOnl52dueKKmmaVq1uVW5iEhz16JeiIifiOjZgDXQwpbOIOsqdqQcLLffP/17bAo6RXWs4MrKtRl2P76FcWzMXkFSbpIniqppmlYt7qznciswE2NRLzBWlJxlYpnOepE7viWi0dd8ue+hcvsX+DYhmEZ4WapcLuekJLgRl7a9BQW8ueZ/VZ6vaZpmFneGFd0N9Ab+BlBK7RKReqaW6ixn7XUj67bvJdexHofTUTo/JVPyaOrdqUZp39TCi02bg1iWuJJCeyG+Nt+KT07eDvGfQ88bSfOPJn7jWkL3zyAt+hJs4Y1pFhhKw9BQgvx8K57wqWmadhLuVC5FSqniY18uImLDiDGmVVdoMxxebVHEk1KQQoOABuTl52Kx5NDIK7hGSUc4M3g7azfXpz5CYnoJretVXLkUFhVC/FSe3N6cWWzEJ3QlyuKAHX8A0PpQX74r+p5LfCZxpOEiYoL78+KFk2gY2rBGZdQ07eznTuWyWET+A/iJyFCMIJY/m1uss1xJIXGSwq9AUl4SDQIakJ1ymPUH9rCicw0bhS0HUTxpBwffW8WNXy5mcNx6Hup9P/5e/uVOczgVE38tID73XTqE+RAQ9AV96g+lQ2hbShxeFNmhZaNAthwKoktAZzKyE1ibM5srfpjNTe0f57bzxtSsnJqmndXcqVweBm4GNgG3A3OAT8ws1FnPUcxtqV/ya5NGHMo9RPd63UlxBnNn0TPcH31hzdK22qgXHsLH1/Vk4tff8MPu6fSo34VRrUeVO23tb5+xMzmF568cx7jeLTiY3ZGmwU1PkuDVdANgDPP/fJ+X9nzBO7ueZX9BKs9feFfNyqpp2lnLnUmUTqXUx0qp0Uqpq13v3XosJiLDRWSHiOwWkYdPcvx+EdkqIhtF5E8RaX7C8WARSRSRd13bQSKyvswrVUTedPNezxw+QSzt9AkcGUbrkA4AbMrczfYG68jz90B8MKeTnn/dwg/Bf+C0B7LwwNLyx4vzCFn/EI5m36CCVgBUULGUN+TCu5h2zZ/4l/Ri7uZDFJboBUk1TTu5ClsuIrKJSvpWqoopJiJW4D1gKJAIrBaR2UqpsjP81gGxSql8EbkTeBkYW+b4s8CSMnnmgOuHtJFHPPBDZeU4I4ng2ySWnJXeBIjRf3EwbQNeofH4OLNqnr7FAm0vIjDXiXP7fLak7Cx32Gnx5uagIVhlF5e0vOSUko4ICOSjTuMJ++1O5q8YyYgBfWpeXk3TzjqVtVxGAJcBc12vCa7XbxiPxqrSG9itlNqjlCoGpgHlns0opRYqpfJdmysxhjkDICI9gfrAvJMlLiJtgXrAX26U5YzTPm8N53kv5e9DGwEoztwBQBNnrmcy6HM7DS64A4u9PimFiTiVs/RQYlYx6f4HaR0YS4hPyCknHdOuNSleDflq42yO5B3xTHk1TTurVFi5lIkdNlQp9W+l1CbX6yFgmBtpNwbKzhJMdO2ryM0YFRciYgFeAx6o5PxxwPSKHtGJyG0iskZE1qSkpLhR3NOr1c5P8a0/h/e2PA1AklcYKAht3N1jeViLMultK0QpyCo63iLavHUhFq9sYutVLy8Jj2ZZ/1fZEvgLb6761FPF1TTtLOLODH0RkfPLbJzn5nVuE5FrgVjgFdeuu4A5SqnESi4bB0yt6KBS6iOlVKxSKjYqKspzhfUQ+8h3iS/qTUbRERxOB5mOQpTTj+CgUM9lkrSRj1O+5+LkCYT5hpXuPrx3JgB9m3SrdtITe3dHcjrz+4FZ7kUDcDqgpMD13glFHmqhaZp2RnJntNjNwGciEgIIkAHc5MZ1h4CyvcRNXPvKcYWVeRQYqJQ6tgZwHNBfRO4CAgFvEclVSj3suqYrYFNKxbtRjjNScL3mFNmb4MVKDucexlKYSVCJDz5iBzy06FeTXnza9hMW7CwfBDMn7Cbqr4umTw0ql9CiJGZlL+DqwAbcOf8uPr3oEyL8KlgVc98y1IzrOdTz33zvvIDNWzYwoXASL4Z0IdUWjo+lkEjnUexeTbiw6UPENW9J35bheuKmptVh7owWi1dKdQW6AjFKqW5KqbVupL0aaCMi0SLijdHSmF32BBHpjhFWZqRSKrlMnhOUUs2UUi0wHo19eaxicRlPJa2WukCSt3GFGOuv7cnaw8TcCFYkbUQcxZ7LxNuf4oZdyA77gdm7j3eTJRWFkGM7Hz+vSmbvVyW0GYEdbyT80HD2Zh3g5t9vpsRRctJTk4M68jUjuH5xKm8tWUGJ1Z8V4UPJ81PYvAqwqiJC7ZmkFSfz9vx9PPvJNF59sz+fLf+6+uXTNK1WVdlycbVYngQGuLYXA88opSod1qSUsovIJOB3jJ/inymltojIM8AapdRsjMdggcAM16/UA0qpkW6UewxwasOczjQHVvBwwff8QlP2ZO0hIehivvZuw1denl1JslvxZnyDNrE8sSUjWxt/stz0T+gc5A0MqX7CItS/4gUuDdzJe8sb06lXM7ysJ4+J9q+fdrDWy4m15XRGNLmQty98HbiER048USky8kvYuuAbPj6UQfyul1iSvJPPRz2tWzGaVse481jsM2Azxhc6wHXA58CVVV2olJrDCSPLlFJPlHlf5bebUmoKMOWEfS2ruu6MFzOGF7a3JDh9PcNbDOeO9Z9wOOwoWG70aDad902hkZRwMOdw6b59spj63tULjnmi/4v1JnSfk2eWWLmuRzbtG5QPX5O0Yhq5mVOxROzh8tZXMLnn5IoTEyEswJvzL7uRdtmXM/bHx4nP+pHPN3Tnpm5XeKS8mqadHu50zLdSSj3pGlK8Ryn1NFD3v9xrm08QQWH1SU/tQIOABpSUrMPHa4PHs8ka+hqHiltzNP945XLYGkiKr2dGpcmC57gh/Q2CfA/w2JLnySzMLHc8Nf4bDoTtYVDjYTxz/jOE+4a7lW5kcBjTL3uSekXefLb+lQofuWmadmZyp3IpEJF+xzZcI8cKzCvSOaIwm2HZ39NY1vHl5u8IsR+hvjPN49lENW5FYUkUGUWlXVo4pACbd6RnMhj+IpbbFtKssY0dBXNIyEood/jpkKEUW+C2rjecctKRYZHck6/Ikhz+2LvcM+XVNO20cKdyuQN4T0T2icg+4F2MGGNaTdiL6L3zVeoHrebVtc+xzzuQREszj2cTkJ1AX2c6PhJCgb2AQnshWOw0cuZXfbFbGURCWAu6N2wLwO6MPeUOZ6S1oLW6i86RnU89bRFirllMXsL97D1Y2RQpTdPONJVWLq4QLte5RovFYIwW666U2nhaSnc2849gz02b+bugPwC5JFGCj+fzObCCL3L+YJD9//Cz+ZFekAlAq4IDnsvDYefuvc8gCnalHZ836yzIZnzadEYF1Kt2h3zLekH0btKemav2kZKXWvUFSkF+eulmYdpB7HkZ1cpb07Tqq7RDXynlOPZITCmVfXqKdI6wWGjUsBGO4vqluxo6TAgE2fkq7lxTn+T8QAB8LaH47LyXkMFdPJeH1YYtsAG+9mz2Zx+f95qSchDfkL/wUx1qlPxLto/4wrqZS3+08elFH9ElqoKyF+fBl6PIx4fPWr7JjzvnEMGnXJrqz/MFT+IfupPQsC9xio0iWyQNfJtzRdvhTOw2Aot4dF6wpp3z3Pk/ap2IzBaR60TkymMv00t2DvDdPJVrfbZhxZfB+cF8eHSv5zPxCcInJJIErzeYuXMm+cVOUh2NCA727GOmrEs/JKe4IRmFx3+DbCkWXooKYUtUk0qurFqjDn3xL+5IcbEPN8+7mfXJ6096ntPmzyde1/Dgvna8s/G/JPt9Qop/KAVtr+bGfi2Ia9GENg4rzRx+OIoDSMhdy2sbH+XtD+4nOaewRmXUNK08d4Yi+wJpwOAy+xR1MRrxmWbtV4y2FjHX2YC1vl48FvoQX3g6j6JcRhTMYaE1kQ3JG6knbehV7328cm6mfACFmqkf7EvBgVsY2un4Ms270o1Hby3DapaPV9zt9Iq4kg++nE9o6494duVzzLxsxj8etc2IP8iLh44Q3HY5vqqAGzvfzN3d78bLcmzYdQfgqtLz09OPsnjadcxKasyXb/7FD3f1pUVEUI3KqmmawZ2WyydKqRvLvgAdrdATJs5iSqs3sKZMQBHMXr9lns/DWcKQ/a8TUezNrowEDqTvYHvEAaxZqzyaTVDCr6zwmUxu6vE+l5TDxgiv9oGhNU5/YJtIPo4Tso/0Z2fGDranby9/Qvpe7H++QLOIBDpFtmHmyJlM7jm5TMXyT+Hh9bnirnk8OukOivyWMvaXMXrIs6Z5iDuVyztu7tNOlZcfzSICOJoRBGovQZgwTsI3lD8vW8Hhovbszd5DvhgRAPKaDa7iwlMU1JCfA9oxN/cjjuYdNfLI3QdAdIgHhj3v+I3Bq2/n+mB/rMXNSS0o37mfuW894wumcVuj0Xxy0Se0CWvjdtJt6wdxb8RB8knk/fival5WTdMqrlxEJE5E/gVEuVaMPPZ6Co9FVjzH7V/BJUnvIbZUsqzphDgrCwJdTSKERzXEUVSffHsuGcXGl7LFw2FmaNaHXyJGc4RNHMgxHoft9W2KcnoRFuGBIdZth8PlH9Cq5zgyE+6kkU/5SaArfLrTUZ6nZcce+FhPfdTduE5DaFrgxzfbp+jWi6Z5QGUtF2+MuF82IKjMKxu42vyinQOObKLVvmkEWY3Jkzu8T33hLne0PPwr5xel0sK/O4X5Rnh83wLPr3HT0N9YVTMpz8ijjfcoVOJkLBYPxAWzWKDbNXRvbszw35iYWe7w0oPxeEV/SK51V7WSD+l9DeHBd1OgMvhx1+yqL9A0rVIVdugrpRYDi0VkimvRMM3Tet1McrtryXrxT/xy29Lcd6gp2QRvm8pdjjTmB3xOlNP44vQvSK7iqlNUmMXzeyZxQRN/DrnimLVPWc5jahUw0WPZtE76lVH13+b1reFc0f3X0v15h2aCDXo2rMZkTZe7el/KnX9+yQfrPuWqtpdjtVTSQM88ACs/wN5lHKsKGjM7fhqhaT+yO7g7hb4RNPNqwHnWEOxRnUi2bmVQdDfaRkRXu2yaVte4M1rsExEZrZTKBBCRMGCaUuoiU0t2LrBYqRfsh81ipd+hGLo3MGeyn0yYwX/eWUWrtDz6xl6Lc3EzQvsP8mwm3kGk1+uPzb6FfVnG472E4qW09dvq0WxseUcJthSRaT9IiaOkNBJzfsluIrBUa9nmY+KKlvJt2kZeK3qAqroj87LSsKz+ismrIlgctg6v4I0QADh+hzw4lNmSFzIWMar4Mfa0+5J3tkAbac5zF79Nxygdmk87+7lTuUQeq1gAlFIZIlLPvCKdQwqzsS56keGBDbi8YCGtc3Phn4Hoa87bn2YRAawrfJfU7Yo8NQYvLz/P5mGxsCfuvxQuvhu73fjF/7NfLhavHozzZD79JrN0czHwFUfyj9A0yBjmHO/VEN9q9LWUJdEDcLaZzIb4prw+bwdd2x9gUNNBeFvLL7amlOLWeUWszX+HIV2aMyy8iA4NBjK2/dX4Wn2NCZl5WeQdXMdroV1YfqQ/69e+wApbAuN+Gc2dnR/hzl76ybJ2dnOncnGKSDOl1AEAEWmOMc9FqymrN8RPobvfDdyTfQ+DoyN4z4x8DqzkpoIvudMu7MyOp1eDw9iz6kHTXh7Npn6wLwUHb+KSwUa6dlVIoMXfo3kARPk1IBVIyk0qrVyKJY363jWM9OwfTuer/8MQ2cQHfy8g4OgHPN/veUa2Kr/E0IYV89iQOZfrhgzm0Qt7AD3+mVaIL4QMpzXQukljJnb/geWrfuKuzV/w/uYXGd1xCJEBoTUrr6adwdwZivwosFREvhKRr4ElmPLz+hzk5QuPHmZL4zEU4EuxLdCcfJI2Epf8HZYCY62V7WFHUHme70Zrv/gupno9z9FsY7VqX5VLS7uHow447NybZkyzOpxn9O04HE5GHw3kYqlZJAAAEeGFLkncESWoklB+2zPvH+d4L7kLa9R8CnxWu5+w1cZ5cVfxbJ//0mXfEJasNSEag6adQdxZ5nguxk+z6cA0oKdS6nezC3YuaRjqywjLCvrm/GFOBr1uZsHVm8ktPj4k2FH/JL+2a8ir/VC+82rHxwn3sSV1CxZlJ8Tp4ZB0VhuNLFYa5NQn1MuYP5OVk82dhVvpjb3m6TsdWP98iju852LPa8mG5M3/OOU/QeehEO7rcc8pJz+ioRffygekLP2CYrsHl7TWtDNMlZWLGDE2hgM9lFK/AP4i0tv0kp0rVn3MsKOfMta6kP5ZJg2BtVhpFhGAs+j4ZMYT+xE8wdbrJpZ4X0RqyW52ZuwkRwLYGej5/1TW9f+SXYn/R/MA4zHYkcJC+tr+j+3RHlit0mKF8VMJmvgtPqoBOfY0cotzSw8X2R3ssqVQ36cDUf5Rp5y8RLVlQZ/PeCswibv/eLjm5dW0M5Q7fS7vA06M2GLPADnA94BnH9ifq45sonHOTkaXPEi3BiF8Z0Yeeam0XPc6ne1R7HPt8itMBWr+GOlEjfzrs1/Z2JO1B//kh+jQ8tS/gKvSIMQXgIMZ2URHBrAtbSf+zT4ny9Ee6FT5xe4Ia4EAzYKbsw84kHOAjhEdAdi1bxcWn8N0DImrdvJ9LxyFdedCVibPZ3v6dtqHt6/8gm2/wN4lJPd7hrlbjuDY+QdehSv4PbwVVqvgSy5WcRIe2oQJna6ifb2G1S6bpnmKO30ufZRSdwOFYIwWw5hgWSURGS4iO0Rkt4j842eaa8b/VhHZKCJ/ugYLlD0eLCKJIvJumX3eIvKRiOwUke0ictWJ6dYpI9/m0MhpFOPFoRyTxkkoJ17xn9LTP5XGaZ3xUorgQg8/rgKIn8JP6VfibY9kd+Zu7iuezsCM3zyeTcctb3BBo6d5bM31AGRkGP0XTUvcWO/FXUe38P6RN+h+6DJah7Yu3Z28/Rc6FRfSJ7j6FbO/l5VH/QPxsftw5x93sSN9R6Xnb09IIG/11wx87yWe/HUZ9r3LsecuZH3+NOJzprIs52eWZf3CrAP/4+K3F/LIe1+zaOt2lNLjbrTa407LpcS1aJgCEJEojJZMpVzXvAcMBRKB1SIyWylVduLDOiBWKZUvIncCLwNjyxx/FmMAQVmPAslKqbYiYgHcW5T9DNalcQj/qreGge3rUz74tIcERMGjR9jwwXK2H8iEZCfOy3p6Pp8GMSxvdCMlhUnsydxDeEgaTZyeD6XiHxyKzeFDVnEKTuUkK9+IZVZfPLgeTkgTCkK6kpNYD6fTWhrwKCtkMF7LS7jgyho8ghPh8pIV5KSH8GHTYq6fez3fXvItLUP/Of/l141JTFoVTHiT/th8ZjK++VhuHfQ5JfZCxgGClZKD6yhOTmBdaB+2N3PQf8lY/vOXkxc2xPDj1R8Q4OlQP5rmBndaLm8DPwL1ROR5YCnwghvX9QZ2K6X2KKWKMQYDjCp7glJqoVLq2Hq7KynznEZEegL1gROH69wE/Nd1vVMp5cGfq7Xg8DosM2/gHqYTk/Jr1edXhwiI0Dj02NwWCxarCYtjNe7B3pjJ5Oe2pXVIB2aH2Pm9zK9+T/G54EGWOwbjxE5yfjJHxZjf4t/6Ys9l4hvChj5vsCk4m593zS/dfbA4iL+cMUSE1ixUj+9NP2MZ9DHpu27Hz9mSjMJ/TqB1HljN0rnPE9zyfbwCD/Cvnv/imQHGAwAvmy++Nl98bF4ERvcmvM94LmzXkrsvaEObsS/S3HcQScXreHThGzUqp6ZVlzujxb4B/o3xhZ4EXK6UmuFG2o2Bg2W2E137KnIz8BuAq0XyGvBA2RNEJNT19lkRWSsiM0SkPichIreJyBoRWZOS4vk4Wh5TUghHt8C4b+C6Webls/IDriqYQRtJ5N+2aXi5Ihd7WotQLySzBxNbPQ4oLCbFOA3zNn6H7MnaQ26x8fsk0j/Yo3k0DPHDO3wJP++ZVbpv9eHXadz8XXxsNbwv32Bu7hfNPXEd2bt5Amlp//xfI3ndzyQH/46fzYcfRn7PDZ1vwGap+mGDX/thvHnt6/gU9mbB4ZkcyjlUs7JqWjVUFhU5/NgLSAamAt8CR137PEZErgVigVdcu+4C5iilTgwTbMNo3SxXSvUAVgCvnixNpdRHSqlYpVRsVJTnO5U9pnkc3LMGGnU3RiqZ5eDftCncTAs5ws3WOdiK0qu+5lTlHKX/tA6MsS5if1oeiJNmBZX3J1TLrj/4MPctAPZk7qGXvSHXH6pHcJFnK8zOG5+jj+MwR1zBPgGcheuIsh7wTAa7/+T/Nl/JgMADTI3fQk5xTrnDPwSPY42jI9d3vJFGgY1OKWkvq4W3vZ1YsfPiig88U15NOwWV/QyKx+hnKRvS9ti2AqoKkHSI8ksdNnHtK0dEhmD0owxUShW5dscB/UXkLozIzN4iciw2Sj7HV8GcgdHiqftWfwreAdDVo8FSjhs9hZ3bj/LHlDW0K/qStfWrH+CxQv7h2Ac8wsb5fszbPgEAP2dRFRdVg28IJT7RhOU0pENEBxK3bOTCwv34Wzwwz6VsNq36kZu4kfQyldZ+azhWZ4RnMmjYFWk5iMaOBvxSNJnf9jzBmPajSw/vTinGN+se7uwxpFrJ94wdRatFiWw8shOnchphaTTtNKksKnJNQ7iuBtqISDRGpTIOuKbsCSLSHfgfMFwpVRqmVyk1ocw5N2B0+j/s2v4ZGAQsAC4EPBsZsTb8cBtsnG6sWWJW5QI0Dj0eisUqHgiDfyKrF7bBD5O+egHKOQuAAyF9PZ9P09783vEVkpbuoXtUD34MSONfPrewu577C4S5w7fb1WxbsBpxziGvJI8ArwDypQR/a2VPd09BQCSM/pyuq/bx8xYbG5N3MabMqOSO+z4jKqQjUL3KxafL5bRLaM7G1UfIzLcTHlD1IE/nz5PJOrybxyNvZ0XK90TKDkKUIrvwZfy8rTi93yDddpRA35ac3ziOe3qNJ8TXnKUitLrNrUmUInKtiDzu2m7mziRKpZQdmAT8DmwDvlNKbRGRZ0TkWLCmVzBaJjNEZL2IuDOL8CHgKRHZCFwH/MuNa85suckw+HG4Zrp5eRz4m+hFkxhg2cBjtq+wFZo0DsJeRIdQBxZ7Q1RxPTr6jzAlmwbBPpQ4S4g/so2E/MX4NjJlhhChXsYj1cO5RqgZUVlEKQ+OSgNiJAHfEn/2Z5Vp2CvFnNB57Pf5vkZpX9e7BTHOrXy0bDWvrXmNkkpG783fepRn1wfwdHYRi7KfwOm3HT+blWCLlabh/gT62Oibf4C2+TkcyE5k+p73GDhtMK+u0Kuea/90qpMon+UUJlEqpeYAc07Y90SZ91X+JFNKTQGmlNneDwxwo9x1x8RZ5udRlI1X8iZixIux1kX4OfLMyWfKCP6d7WC0Xzt8/TcTm/Ij0MWzeZQUMHrF5cwLb8VNf+wixtIGX+xgLwJbzSIjl7N7PnPTX+Ax9XzpXJeehQV0du7zXB5Ay41v0NaRzdEyfTtFdic7vfzwC6rZkPH2R35mps8zDNpwLWn1lpBTnMNT5z31j/P2b13NpG+O0KhRC1ICZ9O3QRwvD3yRcN8Tulfz50JxLgX+jfly0fesT3iUrctnsCRiJAPansF9m9ppZ+okSu0ULH8X1k81L/02Q5F71/Ku4wq6FH2KJcrzQ4QB6HsnCS3Gkl/oQ5FVcdDpoc7vsmy+OBp2o6SoAQDJzmS8lBPcGEl1SsJbsSL8Gg7mhiGux4hHkv8P6j3q0WzksjfYVhRDRvHxvp3d6YcRi50GgTVcIrrdpWRd9gkW+wgkewA/7vqxtBVWqqSQxjMu5l+2Gcy4fiIfDPmAj4Z9+M+KBcA/HEKb4edt5faho3mt20NkOm/l8Z82Y3dUOf1NO4e4U7lUaxKldgriv4B5j8JukwJXlnF8rotJOl9JUZsRFKf3ozgzluRGt3s+DxG8Rn/GmsJ+ABwhixwV5PnRduHRrG0ziS3e8fy4axZKKTYX1ac4xLMrSvrUawPFA2jnPa50Vv3uA/EAtPHyqlniARGE9BzN57cNwJbbDydOFhxYUO4Up1JcH3QJ8dGtiAj0oV/jfu51/ovgH3cLt19yPocdi5g096malVU7q5g5iVJzm4LoAXDFRyZmoWDGjSzq8BNb+vwB+SYMRQawF9PSlobF6UNR0tUE2EJNycbP20qkXxQ2jk8MNUPDIC+sgRuZvfsX9mYmEtr6KXJyf/RsJrkp3MBB6mW3LG0hJaVsA6CVl2cqzOYHZvFpxGKcJSGsObKh3LED2Q7WBx7kcODuaqU9pImTMf4/sSzlR/Zk7fFEcbWzQJXPEZRS34hIPMbILMGYRLnN9JKdS3reYLzMJAJZB/FylOCVeQAGP4ApkXM2TqPL7HtoJG/xmO1rfI8MBv7j+Xx+vINPZDu3OhsSZEnm5iMmzBFSigl/xjE7rD17svaSXVhEia2Qhtnxns0nO5G78t/hAa8SUgv6EOkXiSOkL8U79hB14VDP5JGeQBs5iCWjG4GqbblDG3auwOKTyvmNJlRwceWsgfUYTwS/qDRe/fs93h/2mnsX7p5PflYac+V8VhxZjHfhHpzipMgvDLE4CPMJZUz7q2kW7o+vhypZ7fRx6yG1Umo7sN3kspzb/nwW6neCzleal8ct86s+p6aan4/zsrfJnuGHP4VYlOdjiwHQuCeHDgdARjRXhW6nV/FSz+chwpGe95O5bQvpRetJL8gCILmBh8eT1OvIc+0/YUHRM5x/oCdj2o0hxNqSoqOX0yjYQ53kgx/HZ5Ci6MnfCShqUe5Q8raPwQaDmldz8IDVRqObf6P4fw/yl2UeM3fO5Oq2lS/jvHBHMkE/vUVY3m7uL3oV/+gvsPq6BjS4Yqp2yPWly/zvuFzupUm7mdzc/QrGdLi0tHWnndk83AOqVUvGfvjrVYjqYG7lcjpEtMIS0QqfufOZmPMIjzRrTz8z8ul9Kzuzd5Ly5y42NQnn08AWbDQhG0u/+9i77l38Wc/e7AQAnD4ebvHZfAiPjEElWjmYbQxH9j66gn/bfiKAOMC35nmI4GUVWoTY2J+ejN3ZpjSUzFKfhmDfTrcGHaudfHiAN8MajGNx1n6eW/kcfRr2KV2CupysRGb8tYGHVh8moqEfF7d5kx979iYsqBv25K1Yiosort8Lh8NKyKr3yY5yMIQg/szcz3OrH+G33X/w+WVv6gqmDtCVy5nAOxBaDoLzJ5ubz6qPYeHz0GEkDHsWzJj8phRk7qddYD4pOVasFvO+BJqF+6OkkFX5r6EivDkhFJ1HRPkJwcUBIL6k5hujrAIK0zyeT9+cP/iyxI+9mUY4vnmZ00iI3smdVg+Gzd81nwfUDfzLEc7uzBml68gccVqxOiPwsdZsGPcr6fczPzWIl8In4S/1TnpO3orPqL/5fQKj6+PjE8SQXn50bxIGhEHYCZNTRxmzFt4GDm94iGmLbuFzFjBz+2+M7nBJjcqqmc+tXlARae4K04KI+IlIkLnFOscERMDEn6DVBebm4yiBggzYOdd4bwblhLd7cFXJHL70+i+dk2o2CbBCG6Yzak4sUV57UVIM1tyqr6kG28+TmG19i/5eH3JhRF8uzs2jZV5S1ReeopjdH9DYXkKia5hwolcEqc5GSICHQs0ARLUlMcBY0qHscOSumTFcUHRXjZP3Pu8uWg66haMpjblxympS8/9ZCf/oNZT7oprSPLglv1zxCwOauPeIsVHXoVx1yc84i+rxZvw7OJyenciqeZ47M/RvBWZihGkBI0bYLBPLpJkl7i54Kgse2GmEHjGDxQpX/I8NIUZFWePowRWJbE1R1+txFJt0H8d0Hcec0Gs4kF5IeGh7/k58FN9m13k8m8Srf2F3UWeO5BuxWgsduViUfxVXnaLQZhyMngTAoZzjlctdGa8wMf+rmqff4zraDxrDC1d0YUfxt1z246h/LFg2M3ENdlshj8U9TKhv6Ckl37xNDJ39R5OdrziQZU5Ub81z3HksdjfG2ix/AyildolU0ObVNICY0RTs3MjEhEd4tmEnupuRR+Oe+DbsQe7fc3EevopwH5Nmh7cewr6m9di3bxYvrPuW/eoSHKf4peiOqPqNKcw4n9EdL0cphU9JGk2V56MotAiOQB21scf1+E0pxTVR0fQL6+2Zz8npZGTyB0xRuey1Z5FRlHF8MmZJIZacRfgGhdCrQfVWSX8xsojc5Yf5e2cx0X1O4cK0BJKOHGKZPRiHshMdHI2/j43tWaspUbkE+wbQNiya1mGtdH+Oh7hTuRQppYqP/cFFxIZrQqVWx6TshPd6QWhzuGuFEYXZDNlJPNStiMNZkVzY4aTL7XiERaBZiDe703rhHWbS5FBHCR38c/nRkc7fR5cQ1GEJR1IeAK73aDYhR5Zzq3MDzpK7EBG8nPmEK88vRX3F6gl8FahK45jlFueRE7CfVN+BnsnAUYTtwDKG2oL4CNibtbe0cilI3csPqfOZE/5UtSM0t2janEU+zZnx9xoCIjdxWavLKj2/sMTBrHWH8Fp8P9OCd7Hd14o9ryXPJjnpIPt5smk4Fu/jj+8CpAE3dr6J23uMr1b5tOPcqVwWi8h/AD8RGYqx1srP5hZLM4W36zFL5n4w85n1ov8SvmMOX4VFQ8IEc+bwFOfDy9HcEjCBzVYnlxRvwpQlonfMYeLKiXzmdSvHvoJCcqs32bAysvtP7rNO56aMrmxNgyIu56gJjxQzY24maM0yOnYwKpOkHOOuojwVdMPLD25dSOLsPyHz/ziUc4ie9Y0hzgedUdxb9CL3tal+RSadLicxuxubV7zCf5YuYVv6Nv7V819YTxKdofC7W3ltb2M+d1oIapCExeLHNa1up2VwB2KO7ICcw0xuNIyCEgettr/OnuJkPrT58MaCdeSldOf/hrXTrZgacKdyeRhjzZRNwO0YgSg/MbNQmklCmhh9LmbrdQt0uhyWvwM1HIFUIW9/6Hsn2YeisaTGY8OkyrJRDw71f5GsxcfXismpZ8IyAoMe4aaEoWyz389Pu1MJtQ/EZvF81AGfXhNZ90djrrQZ6/kkZx8BoE3+Ls9lIkLLsKaQCXsyji9GuzZlN/ubzKfAN7ZGyV/ZownTFw8iKVfx1daviPKL4sbON5Y/yVHC4X07SCIFv0YJdIjswgv9XqBFSAvjeEx/AEqnkw44H5xOxucV886Pf3LhsvH8GPYZV/Y25aHuOcGdyuVy4Eul1Mcml0U7WzSMMf5tZUJLoqwhT1G8YBdfbotkgfflmDCNEkKbEnT+LWT88RvHhkhavQI9n4+3P/VCg9ie14CErAQG5h8lSIoAz1ZkkX4WoiwpbE/dSYmjEckFxuqXJQ0GeTSfETufYm1WFE39jy9Kt+/wcmyBO4nwrdlT9YDEv/i56DZuKHiSTV6pfL55ChM7TizXeilwWLg4+xGu6tGYb/sLnSI7Vf0ozmIhMsiXx/uHMOtoEc9uvYlOrabTLqJt5ddpJ+XOT6PLgJ0i8pWIjHD1uWh11VMhxstMRbmwf7l58cuOUYomAcYXVUqOCSteuvIILkwi2u94+kFFJqyFk3mAcXlfYc0PJCEjgZ+D/2KR32qPZ2Nd/ibPhD3C7LT72Z+9nwI7OIvDCA7z7EJrXkH1aJnehnBrh9J9eanG/XQMa1izxJv0QgY8yL/GXEhOajcyitLZnLa53CnL9iRTLCkM79yQLlFdTqmPxxbdD/sFP+BwWnlm2Rs1K+s5zJ3YYjeKiBdwMTAeeE9E/lBK3WJ66bS6KWUHfH6x8X7ku9DD80N3AfhuIkMPb+MWa2/iZCvGf6IeppzwVlfu8B3DR4nj6BfyCU1zPT/PhdwU4hI/IzLgMg4XpmK1BpNvNeEXc+sh/L12L7CU/dn7aeXdmt57h9HhPM/+4Ci56EU+2PAb/ik7uaC9Mbh0q1cUlgJfIsMb1Sxxn0C44D/EAH3/PsKObCcNA8pXWMnL/k1g6/UUeTXDWLj21FzVvS0vLR/ARusfbE/fXjrh1B3ZRxJYtH0te2xeOLEjlhLEYifYJ5ChzS8i0MdGkJ+lNELC2crd2GIlIvIbxigxP4xHZbpyqYtOR59LVDu45jv46zXji8AsMWPIiTqI/c9tFFHD0PQVsVjh8g9JWGth3w4fsnOeY/gQD42sKqtRN1ZO2Mnu6V/hz3oclmzEacIcocY9OBg+AVhKQlYCnXKsfO79CgcyWgHuf4FWpV6QDz6RC/hkzzLu7hePRSxkOwpQKgjx1NII2Um8lvUMlx29DezB5Q5tsGeADXo3ql6fiZeyM7tgLpcHevHE0mf56tLPKo5goBTMf4plTW/j27VHabbtQ+KbLmabT/llr5xFkTwz3ZvBlrUcjF5IYFgLnh34LzpHdapWGc90VVYuInIxMBaj+l+E0Zk/xtRSaXWbTyC0vch4manDZfhHlzBl3jymOIazz6x8uo5FDm/DsWMPKYQaI6I8zWKleVQQjrxobmv5P6buupemDhMWWnM6aO9fwuqsUBIyE8goCWRyvb583rirR7Px2vYj96s/eBdvUgtSqedfj/DiQmwlHvzb2QsIsafRyHc7v+xYwU29jke4WGQNw1vlE+JTzRaZzZuQruNptu4A262r2Zq2le71Tl5RqR2/Icve5EUp5KC1N626juP/QntypFFHbOJHYOLfhB3+m12xj0IPf1pumMOfuYl8acll/JxxTO76ODd3O/u+Ut1puUwEpgO3K6VMerCtnXUOrjZ+9TfuYV4eShHszGHyoBY0jTKxHynnCJ2tiYSRzeXWZfjnNgQ8GJbFpcG6txhhLSI3pwNWZSfYYUJIm9RdPLjlcn6JimVXxm5a+bagMOAw4u/hiE6B9SmhOZDE4dzD1POvx+TUbJoVeXC9l/CWZNwaz/avrycrYWO5yqWAw0TZmtco+eDhj9MmdwMbN24gM70xVDB1fJm1N//yn0h+/TmMbxfG/X0fptyw+A6xwN10O7bd4x16ZB2g3QEHj634F2+vf5FL2wygQUCDGpX3TFNlL5dSarxSalZ1KhYRGS4iO0Rkt4g8fJLj94vIVhHZKCJ/ikjzE44Hi0iiiLxbZt8iV5rrXS8dLeBM9MMt8PEF5i7dvO1neDmayVn/5art95uXzx9PMGTDZOpLJk96fUVgpjmrT1jWf8Ngvx2sTVtELlGk+d/q+UxCmrC2y5OUpA3gunaTsBZnAuBVXODZfFr0Y3nk3cDxOGYf+N/BS1EvezSbqGBflD2MzOKjpaFmHHYHXtajtPdA5fzE0KZcFmbn9q//5sWlU9iQsuEf53y2agX59RYzsMkg7ut5T9WJWixIWAtGdW3Fu17BCMW8uPx/VV9Xx1RYuYjIUte/OSKSXeaVIyJVTh12LY38HkYva0dgvIicGNN7HRCrlIrBiF924n95zwJLTpL8BKVUN9cruaqyaLXg8g+hYVdzIi8f07ArDH8RwlsZa7ubpc/tpA56iZ2qCTGFH5HT7EJz8pm8kZ8bTeZA4WqcUkSkNcbzefgEUth1IofzY6lv64JvvjEPxSff8/8bNQs2Ou4P5xmVy2bfD9nrv8mjeVh3/c6tajklqoDsYuNrKS0niyuSQ4n1r/nfL/C3e3iNN2gW5s03u9/m14Q55Y6r7MPY01/BJjaeO/9ZArxOLepFXO+rGJDSnczE/jUu65mmwsdiSql+rn+r217uDexWSu0BEJFpwChga5k8FpY5fyVw7bENEekJ1AfmAjWbdaWdfs3j4PaT/S7woLDm0PdOc/MAaNyTsEg7zu9/J5tALF4mTQwVoVm4P6v3hiBhGfTP+Byo5gJelWjhlUlDOcKCA0vY4+UFhSBhrTybSX46j26bwAFrd/o26IfD6aDEaw/1HB7+EeAThJ8KBTJJyksixCeEjCIvPsl4hHfbeWACZNwkrDZv7jxSn8dWNWLtkS3lDicf2MkB/1Q6+XQ55UCcAN5dRtE8qT3vLtzNgbQ8mkWYFJKpFrgTFfkf4VJPtu8kGgMHy2wnuvZV5GbgN1f6FuA1Kl6g43PXI7HHpYL4DCJym4isEZE1KSkpbhRX86j0PbBxBjg9FFbkZJSC3BTI8/z6KuUUZhN4NJ5oSeI268/45ZrQ0Q6w+XuuTP+EokJjhN187/WmZNPw52t4yPtbph98kn2F23EUNsTm4+E+F59gUuvFYcnqTpClKXZlRDhoU7DTs/m0OJ9lkfcBcCjXiJe2P/MIVr99BPp44L+95nHQuCcD2kZBUSQHcvaWO7ze0pKk3D6c17L6HfLje9Snj98Crp07jkUHF9WsvGcQd2YWlRsn55pE6dGfUyJyLUbr5BXXrruAOUqpxJOcPkEp1QXo73qddBKFUuojpVSsUio2KsqkiLlaxVZ9bPS7bPjW3HzeioFXWsK3Y83LI3E1fDaMCy1r+Y/XVILz9pmTT9IGWqcvwp7XGoCcAHNWJZWhzzDf7yq8CaeprTEX7u+Fr7JXfeGpsNpIHPgqyyzNmbvnz9L1V3ZGDvVsPkB0SDQq6RZ61DMGj2zbMwP/Fh+i0pd5LI+oDe8zQW2iwJlNXsnxaNWH0h0UJV3N2I4jqp12o6ML+Ux9SnFeDvctuI+vt37tiSLXusr6XB4RkRwgpmx/C3AU+MmNtA8BZdc5beLad2I+Q4BHgZFlBg3EAZNEZB/wKjBRRF4EUEodcv2bA3yL8fhNO9N0HQcNYoz+ELOIwCWvQqcrjbhpZmnUHSZ8z0zHADoUfoaltUl9LkOf4cA1S1AlkeTseJKmXiaFz2k3nOx6sVjsDcgoTOAd73exFXk+AnODYF9sQZt4d+ujJOUafTri7eE1apxOJu+8nbE5O/ByrWGY4SgGICKohpEAyvINxcdi/EhNKjOJNjRhBv/x+pbwAO+Krqxam2EcHfYFmfvvJtAZw0urX2L1Ec9HZzjdKqxclFL/dfW3vKKUCna9gpRSEUqpR9xIezXQRkSiRcQbGAfMLnuCiHTHWIRsZNmOeaXUBKVUM6VUC4xHY18qpR4WEZuIRLqu9QJGAOXjPmhnhoZd4Y6/jMcKZuo+AUZ/Dpe+Zl4e/uHQZghd27akAF+C/D2wpn0FGruWDnjU8j1D0r4xJ5PcFOJ8D1CYF8lBlU6P+n2QQM8vutZi/m086FgAQELmHiLzQ2le7OHh1RYLBWHt2elr55ddfwJw1GL0iUU28eAw+Ngb2Rf1NKHJr9A6rHXp7t+Kf+e75htrFj3ZO4DouFE8c3lfDu28CpsK5pttJn32p5E7Q5EfEZEwEektIgOOvdy4zg5MAn4HtgHfKaW2iMgzIjLSddorQCAww9WHMruC5I7xAX4XkY3AeoyWkA6oeS7LT4dUD0b0rciBlXxyfibxA9bhm3uw6vOrI3U3wb/dSzffIzSUNELsJsVmW/U/bt95K0X5xlydEv8krF41+OVdAVubwRwsMSZnJuUdZvaRXYzK9nz/Z+IFb7EmPJ0vtxvDeXOKs1EOH4L9PPsjoEloMEeznOVW19xsCyfT0rLmiRflMqbkJz7ok09eaixpuSX/WMXzRHszD7I9LaHmeZvEnRn6twD3YTzWWo8RpnUFbiyeoZSagxGiv+y+J8q8H+JGGlOAKa73eZgxfEaru/58BuI/h7YXwzXTzMtn+rV4+YYSkbYL2veHsBaez8NeAHsX0z6wE5NS7+Paps04z/O5QJfRrHO2xrEQohqsJ03tx2IvBG/PhuqR3reyYmkbrGwgISuBuKJ3mBzdHs/GAoD6wT44i8NIKdiMUgprznbqOwvwL0oFH89NTLxjywQSwkOYvq2YcR0vB6BApRJq9cCjX6s3rP+Woc3PxzvnEpqUNPpHa2hnchpRAYGEBfiglGLi95eTaSumd/goPrjkCbytnv+BUBPudOjfB/QC9iulLgC6A5lmFkrT3Nb9OmgWBxEm9u0AjP0GJsyAx9OghUlzEhp0gfu3khplhNm3mrVQVVQ7/DtdgsMRRHiBnQhnMdaSHFOyig73w1pSn/ijq1Gt3mNH0TqP59F01TNMdMZT6MwlrTCNTpY4Lk1pgMXD/TtpTS9iU1AB8/f/WbrPiwxaeaKFafOGibOwXfIyvaPDid9fPs3l+3dy5S8XM/CbK9m+fRUrti0m01aMxWlj+f6dPPzVX6TnFlXZ2jmd3KlcCpVShQAi4qOU2g60M7dYmuamJj3hprlw0fPm5tOsD4RHg9UGJiziVVaDEB+es33KgGSTRg0V59MifwthZLPDL5EUmw1rgOf7XFj9Kf/bdzHWI0N5oPu/sXin4Zfv+VU8vep3oLikGQB7MveQ5jucac5HwDe4iitPTc55/ya7uFHppFCH00Gh1UGU8fVYc4H1QISYiBySAh/n263HW+LzV32IWAtQPgco+mEUn6z6FYCP+7zF082v45m91/DAO/+h91cDeH7Z29idHh79Vw3u/F+SKCKhwCzgDxH5CdhvZqE0zW3F+ZC0AQo9P9qpnJSdsOJ9WPA8ZJrU5wIw50GGZM8iTHLwd5oQWwwgYy9+Xw1nmP9OitIGUZQ6GIvNhKjSDbuyKfpGCnPr4e00IjVE5pvw1RF7I3/5GCtRJmQlkFS4E+/AfR7PpkGIL86SMFILjdU77U47xamDsde/2XOZ5CZzT/xVWG1ZbE87PqcmOT8Rb6fii15fs7hoJEsSo7A56tO74wDGDB1Icaex+DfqTF5OQ6bt/pgrvruWrKLTEAG9Eu6s53KF6+1TIrIQCMGYNa9pte/IRvjsIghsAA/sMC+ftV/ACleIu9ZDILRp5edXV+ouIhzNuKFkMtfUa4YpY+3ComHCTJJ+KyQ6KZGe1t1gLwKbhyMPNIklvU8zsncs5uudMwBIijJhuQKgUXB9fPIe46o2V/Dj0mFE+qXg6VVB6v/9InerxXzs8CO/JB/l9KYoZRhtYj23VAEBUezt8R848jMHs4/P3Njn3YDi/ER6dOxKxL2vE7U7lXZNrzIO+gYTPuZt3gUy867h208H8FHwZoZNv5qvRvyPtuEeGHBQDe7M0A8/9gI2AUsx1nXRtNoX1d7oq4gxOWR5nzvgzhXwZKbxiMwsE2dRPPhpAML8TVqjxtsf2gwlKKIx51u28ILtEyjxcOBKl2ZhPnhZClmabEyNs1a0JkpN7JjLR4evJiijAG+rN/kWXwrF82FULC3O46CjMzb8SStIIyMvl5d8X6Nt+gLPZSKCs88dFJVEkeR6/AYQSV98c42Jms0jAhjfpzk9Gv2znzE0wIc7rnifG33GkFuSwx3ff016XrHnyncK3Am5vxZjMmQGIEAocEREjgK3KqXizSueplXBLxTuWGp+Pma1VE6iZ/Mw1nScQbBvFzy5gFc5h+Lp4X2A1xwX8IfE8ZePZ/snAMg+TMsPOnKVuolfXbuaFpowvDq0KTujhrM/+RCvrX6DTGsI+U4TRk61vYjtvn50cfjSNLgpMzf/xnPRKTxu92w/UgPfEsJKLKQVHW+5XJq6kdF57i1XYGnak/vG96Th2tHMWJWBn5cJi865Uw43zvkDuEQpFamUisCIcvwLRoiW980snKadMfLTYeEL8P2tkPWPQBOes/E7+HYskb5OvHGYl8/P9zEs+XPy8eWgPdScQQr+EcjAf5Ps3w4/ZxP65RfQJ9+EyqV+J3b3eop0n1ymbP2MYrIQt77aTl3DIB9SMo3wL1nFJQDktbjMo3kEbfyCx0uW0tjWrTRsTobjMBbrqf3txvTowHe3x+HnXTuVizstl75KqdKFJZRS80TkVaXU7SJiUnhYTTvDZB+CxS8Z7+PuhpDKYrDWQHEe5KfBDXOM4almGfkOBxOL6JS4hh6WXeC4yBgJ50k2H7jgP+TvWkFx4WKWWJswuNUNxxfN8qDmEf44i43wLAUcorPDhMrlwEo+3Duci8KH8b8NOykpMfIL8PHs40vpMIIVywppbr8Aq2tJ6A9DDuNPUy4+1bTMGs7uBnc+gSQReUhEmrte/waOutZrMTHkraadQSLbwl1/w3+SoFE38/KJvRFumW9uxQLQqDvBjTswwLKJZ72mgFlDVx0ltAtxUlAYhMUnjVynCS0XRwk9p3Zlot2YQ9O5OJoeuR4It3+isBbEN7+FNFsOiw8uwZFrROOOyPbw4nGRbdgdcQEHcx2UOI3WkVPZ8bKcWZMkq+JO5XINxuz8WcCPGP0v1wBW4Oxb+FnTTsbmA/XaG53hp8O0CbDsLfPST99Lk6R5fO64iB6FH3p+pNgxUy7llqSn4OgwrjjQnlZlOqk9xuqF9LyBA86OeIkfR2zRLPU1YRXPoAbsj5lMXlFTErIScDiM+S1eqsSz+diL6Oy1hd1+k5i5cyYAgSqb6OIzN9TLybgTWyxVKXUP0E8p1UMpdY9SKkUpVayU8vyMKE07U817HN4/Dwoyzcsj8wB8cRnsW4oxfsYk238h9Jdb8MJBOsFGhGkz9L6NpNZj8aOEJ+1/EJa5peprqkGGPcvB8PPwUY1IkyUUW835amoYaMVaHEa+PQ9bYDRFycPxaXqRZzPJPszD++5HlJPDOUZl7BQn3mfQ7Ht3uDMU+TwR2YoRfBIR6SoiuiNfO/csfxuSt4DDxKGdNl+wF8PVn8L595qXT5cxcOdy+gYc4ZHQ+cbCa6bkczV0upJMgmhV9A0H25x0+SWPiA7zITB9Eg3sQlP1uil59J11PtfaNwDgVIritEEE+3h4Ke/gRizq9haqJIQ9WcbCdLniy4EAE5a9NpE7j8XeAC4C0gCUUhuAKqMia9pZ5/+2wMMHjDAdZgmsBzf/bkzUNFNQfajfiQ/Oz+X2ws/My8dRQlNbBuLqnrWY1UL6biJPH53EwfQS8iw+ZFjN+YycAx9ic2FvwmzNIHMTr/i9gDXTw60kmw/FrYdTXNyAhExj+LFXxtU0tdWtr123hlQopU6Md2HiGElNO0OFNAFfD/9KrchXV8Dyd81LvzgPNn+PrdMoo8I060t/7Rc0/LQH0XKEh23fEpax0Zx8OoxkX/OrKbYcItuay0GvMFOy8ep7O/v8BxJre54Cey7PtMgmr8TzoYei7QmEF/mSlH+QEkcJL+Qs4MqMFR7Px0zuVC4HReQ8QImIl4g8gOsRmaZpJph1NyQsMK+THYyYbDNvgn1/mVththgAI95EUFxvnUdItklr73S5moLuN6FckyetmBTdwF5El9Ai9qfnk+XvWv00onXl11RDy+UPc1Phbs6LGEeJs4Q93oVkSb7H8zGTO5XLHcDdQGOMxbm6ubY1TTODbzD0fwB6mzDi6Rj/CLhrJYQ2N3dUWlRbiL2RBNWYDkVTyGg/zrSsmgcqpCSMG5KCeePoTnMymfswr6XeSULRb/x6+AMAvC2er8jksjeYkXc9bbyuwN/Ln/cbpjIjNNzj+ZjJncCVqcCE01AWTdMAhv/X/DwsFqjXATZOhxXvwfn3mZOP0wnZiURINmkqmAAfk2aLb5pJy+9vJlpeITG7Pzsa2OhtRj6dr2JVdiPyDmZxbJ1Lv7zDQH2PZmNrGktGQCYHslI4nBsEorCKhye5mqzC0orIExUdA5RS6lkTyqNpmtMB/xtotFx6Xm9ePrvmQ6PuRp+LWUry4c0uPBp6FZk5eYSkBUETEzqmG3aDIU9jWxjGj3n9yQmpjynj0lr0Iy+rJc7dM0t32SwmVJgZ+xjlv5Ef8n7FsaqjkXXuJs/nY6LKHovlneQFcDPwkMnl0rRz14ZpcHQTmPGlVdbK92Hpm+DlZ14ePoEw8l0uHH4lE3yW0pQj5uQT2Rr6TcY3vBGCE6uYNLTaXkxr73RsxUagT0dhA2zhnu9zYfP3PJr1NBRGsivD6KcSMakfySQVtlyUUq8dey8iQRjLHd8ITANeq+i6skRkOPAWxmz+T5RSL55w/H6MRRfsQApwk1Jqf5njwcBWYJZSatIJ184GWiqlOrtTFk2rM4LqQ6croN0l5uZz+fuwfxksfQP6/Z95+fS4jhCAriYG/FQKinJoHezgQa//0vAwwHLP57N/GR2mX06M4zG2KyuOvLbYrCbEMYsZx9cprcjfO59DflsBOBLSw/P5mKjSv4prHZfngI0YFVEPpdRDSqnkqhJ2xR57DyOKckdgvIh0POG0dUCsUioGmAm8fMLxZ4ElJ0n7SsCkZfo0rZa1HgKjp4C/yR24QQ0gcQ38Zc6Ew1LZSZBi4kJuYFQuL0dzZf5MvncMYEXIpebkU68jjHyHdJ9mhGW34G77CryyTViZNKQxvs1jKSlqAEBR8nCa+/XyfD4mqrByEZFXgNVADtBFKfWUUirjFNLuDexWSu1RShVjtHhGlT1BKbVQKXVsfN1KjBhmx/LvidFLNu+EcgUC9wPPnUJZNE07UcoOCGpoTA4105wH4LPh8Mv9cGitOXlYLDD8RdIaDeJHZ3/+CvRwSJZjgupDj4n4RTSi8ZHz6JHji8VqwuPLwmy65SwmvMgYjn6fcwEXJntwUbLToLKWy7+ARsBjwGERyXa9ckTEnVlDjYGyVXqia19FbgZ+AxARC8ajtwdOct6zrmOVDvoWkdtEZI2IrElJSXGjuJp2jknaAH88Djkm9YMcc969MPhR2PoTZJsQuPKY3reimvbBmxIKCwvNyydjH50D81jh7MS1JY8iZiwkl5tM60V30ceewsCIWzli8SXFVnvh86ujsj4Xc1bbOQkRuRaIBY4tsH0XMEcplVh2PQIR6Qa0Ukr9n4i0qCxNpdRHwEcAsbGxdSvim6adDu1HwGVvwa7fjfkoZmnWx3j18uya9v9QmE1Lr3S+8X4er2Q/TvJE3TM+GcJov/OYxlgArGZENwhthrp9CSveT6BfUQiz6mWTHdKYKz2fk2nMHDh9CCM8/zFNXPvKEZEhwKPAQKVUkWt3HNBfRO4CAgFvEckF9gOxIrLPVfZ6IrJIKTXItLvQtLOVtz8c+BsSV8F595iXT0Gm8QiuQRdzlyyY+zCd9yzi2yY3ENsyyrx8RrzBoX0WBh9ey722H7DmdQWfJlVfdyps3kjDrkSEZ7ErYyt4gZflLJnn4gGrgTYiEo1RqYzDWAemlIh0B/4HDC87SEApNaHMOTdgdPo/7Nr1gWt/C+AXXbFoWjXZi401anpMNDeffX/B9GuhQQyMehcadjUnn+7XIq0vZELnq8xJ/5gOl+HrPEIxm8hQQVjM+tLfMZeh/gf5ih8AaJu+GmPAbt1g2qMvpZQdmAT8jhGL7Dul1BYReUZERrpOewWjZTJDRNa7hhdrmnY6WGyw4Hk4uNLcfJr2haHPQvpeyDOx/7P5edD5KijKMWKnmSXnKK3sO1nq7MKNJQ9hDfbs7PxSC57lsoKfyE8zYg0EejcwJx+TiKpjC9BUR2xsrFqzZk1tF0PTzjzZhyG4UW2XwjNKCiFjH3x3HYRFw4TvzMln3mOoVR8TnfspIOx70aRhzxn7mLYhk4fnHkJsWTx96XlMjGthTl4VEJF4pVRsda49bZ32mqadgU5HxaIU7F8OqSZFRD7m4N/wfh9o1tfcR33dJuAc8w2XWP7mN++HIdek1lhYCyLrNQRA2UPMWwvHJLpy0TTNXCLw+cXwbqy5kynrd4arPoXBj0OHEeblU68D1rZDyMWPA6oeWE3qc0naSOdD07HgZIH3/bQ7ON2cfEyiKxdN08w35CkQKxSbGFgjIMJYVtlig0LPL+BVqjgP9i/n6hEj2DLgA/AzZ2Ey9iyiwbLHCaSATaolxb4mjoAzga5cNE0zX7//gyfToXFPc/NJ3g6vd4CfTFxyKn0vfH4xI0P2cP9QE+cH9bweHtxDNv7cVzKJpEZDzcvLBLpy0TTNfMnbYNcf5ufz1RXGv2b2uYS3hGt/gKxEeLeXMY/HDL4hEBCBj80IL2Oz6D4XTdO08pa9Bd9cDTlHzc1n1Ltwy5/QxsRf+d7+0PpCiGwL9TuB1aRQ+IVZsOJ9+vrsYanPvbRJnFn1NWcQXblomma+S16Byz+AwHrm5tP6QmMJZ7NaE8ccXA0BkUb0au8Ac/KwF8Hvj9DHupOVzo6ooMpCM555dOWiaZr5fIKg2zXGyDEzZR6E19vD3IerPrcmfpkMi09cIcTD/CPh33vZ1PQ6Hii5g+wmg8zNz8N05aJp2tljzafGv90mVH5eTV3+PkS2gTdjoKTAnDwsFvAP56XRXXlgWFt6RZu8vo+H1a1IaJqmaZXpfh20GWaEnDFTw67GImi5ycYQa7NsmE5wQTqT1r4JoY+aHwfOg3Tlomna2SOilfHorSjLvPknAGkJxpydKz4091HfxmlGBIC2F0Foc/PyMYGuXDRNO3soBW93hy5j4KqPzctnxxyY95gxKs03xLx8xn0LNl/z+6pMoPtcNE07eygFsTebvzBZzFjjEdW7vcDpNC8fL786WbGAbrlomnY2sVhgxOvm5xNYD9oOB+U08jTLoXhY+SFsnQWXvQ3dxpuXl4fploumadqpKso1YoydP9ncfFJ3w6bvoOUgCI82Ny8P0y0XTdO0U1VSAD/cChe/bAxJNkuX0RAzpk4+GtMtF03TtFPlHwGth8DKD8zNx2KpkxUL6MpF0zTt1FksRqd+pyvMzaekEKZNgKdCYFPdii2mH4tpmqZVR8wY8/OwesH2X4z34S3Nz8+DTG25iMhwEdkhIrtF5B/BfkTkfhHZKiIbReRPEWl+wvFgEUkUkXfL7JsrIhtEZIuIfChi5vRYTdO0WmSxwlNZxqtxj9ouzSkxrXJxfem/B1wMdATGi0jHE05bB8QqpWKAmcCJkeCeBZacsG+MUqor0BmIAkZ7uuyapmlazZjZcukN7FZK7VFKFQPTgFFlT1BKLVRK5bs2VwJNjh0TkZ5AfWDeCdccW7/UBngDypzia5qmnQF+vMPoc0lYWNslOSVmVi6NgYNlthNd+ypyM/AbgIhYgNeAB052ooj8DiQDORgtnpOdc5uIrBGRNSkpKadeek3TtDNBXqrxb2iz2i3HKTojOvRF5FogFhjo2nUXMEcplSgnGYanlLpIRHyBb4DBwD/WT1VKfQR8BBAbG6tbN5qm1U3X1q1RYseYWbkcApqW2W7i2leOiAwBHgUGKqWKXLvjgP4ichcQCHiLSK5SqnRQgFKqUER+wnjUdhoW59Y0TdPcZWblshpoIyLRGJXKOOCasieISHfgf8BwpVTysf1KqQllzrkBo9P/YREJBIKUUkkiYgMuBf4y8R40TdO0ajCtclFK2UVkEvA7YAU+U0ptEZFngDVKqdnAKxgtkxmux18HlFIjK0k2AJgtIj4Y/UULgQ/NugdN0zStekSps787IjY2Vq1Zs6a2i6FpmlaniEi8Uiq2Otfq8C+apmmax+nKRdM0TfM4XblomqZpHqcrF03TNM3jdOWiaZqmeZyuXDRN0zSPOyeGIotICrC/mpdHAqkeLM6ZQN9T3XA23hOcnfd1tt5TgFIqqjoXnxOVS02IyJrqjvM+U+l7qhvOxnuCs/O+9D39k34spmmapnmcrlw0TdM0j9OVS9U+qu0CmEDfU91wNt4TnJ33pe/pBLrPRdM0TfM43XLRNE3TPE5XLpqmaZrH6cqlAiIyXER2iMhuEXm46ivOTCLSVEQWishWEdkiIve59oeLyB8issv1b1htl/VUiIhVRNaJyC+u7WgR+dv1eU0XEe/aLuOpEpFQEZkpIttFZJuIxJ0Fn9P/uf672ywiU0XEt659ViLymYgki8jmMvtO+rmI4W3XvW0UkR61V/LKVXBfr7j++9soIj+KSGiZY4+47muHiFxUVfq6cjkJEbEC7wEXAx2B8SLSsXZLVW124F9KqY5AX+Bu1708DPyplGoD/OnarkvuA7aV2X4JeEMp1RrIAG6ulVLVzFvAXKVUe6Arxv3V2c9JRBoD92KsJNsZY9HAcdS9z2oKMPyEfRV9LhcDbVyv24APTlMZq2MK/7yvP4DOSqkYYCfwCIDrO2Mc0Ml1zfuu78kK6crl5HoDu5VSe5RSxcA0YFQtl6lalFJJSqm1rvc5GF9YjTHu5wvXaV8Al9dKAatBRJpgLHH9iWtbgMHATNcpdep+AEQkBBgAfAqglCpWSmVShz8nFxvg51qW3B9Ioo59VkqpJUD6Cbsr+lxGAV8qw0ogVEQanpaCnqKT3ZdSap5Syu7aXAk0cb0fBUxTShUppfYCuzG+JyukK5eTawwcLLOd6NpXp4lIC6A78DdQXymV5Dp0BKhfW+WqhjeBfwNO13YEkFnmf4q6+HlFAynA567HfZ+ISAB1+HNSSh0CXgUOYFQqWUA8df+zgoo/l7Ppu+Mm4DfX+1O+L125nCNEJBD4HpislMoue0wZ49HrxJh0ERkBJCul4mu7LB5mA3oAHyilugN5nPAIrC59TgCufohRGBVnIyCAfz6GqfPq2ufiDhF5FOOR+jfVTUNXLid3CGhaZruJa1+dJCJeGBXLN0qpH1y7jx5rrrv+Ta6t8p2i84GRIrIP43HlYIy+ilDXoxeom59XIpColPrbtT0To7Kpq58TwBBgr1IqRSlVAvyA8fnV9c8KKv5c6vx3h4jcAIwAJqjjEyFP+b505XJyq4E2rlEt3hgdWbNruUzV4uqP+BTYppR6vcyh2cD1rvfXAz+d7rJVh1LqEaVUE6VUC4zPZYFSagKwELjadVqduZ9jlFJHgIMi0s6160JgK3X0c3I5APQVEX/Xf4fH7qlOf1YuFX0us4GJrlFjfYGsMo/PzngiMhzjkfNIpVR+mUOzgXEi4iMi0RgDFlZVmphSSr9O8gIuwRgtkQA8WtvlqcF99MNosm8E1rtel2D0U/wJ7ALmA+G1XdZq3Nsg4BfX+5au/9h3AzMAn9ouXzXupxuwxvVZzQLC6vrnBDwNbAc2A18BPnXtswKmYvQZlWC0MG+u6HMBBGOkaQKwCWOkXK3fwync126MvpVj3xUfljn/Udd97QAurip9Hf5F0zRN8zj9WEzTNE3zOF25aJqmaR6nKxdN0zTN43Tlommapnmcrlw0TdM0j9OVi1ZrRCRCRNa7XkdE5JDrfaaIbD3NZWlRNjpsDdMKFZG7PJGWp4jIHSIy0fX+BhFpdIrX7xORTSISW2ZfpIiUiMgdVVwXeZL9Y10Rdn85lXJodYeuXLRao5RKU0p1U0p1Az7EiJTbDWO+h7OSSwEoM8v7TBMKnFGVi1LqQ6XUl67NGzDCsZyqC5RSa8psj8YIbji+GuWZDtxSjTJodYSuXLQzlVVEPnatBTJPRPwARGSRiLwpImuA+0TkQlegx02u9Sl8XOeV/mIWkVgRWeR6H+Vaf2OLKzjk/jK/rCvL8y1Xq2qziPR27X9KRB44VmDXsRbAi0Ar1/mvnHhjIjLRtV7GBhH5yrXvMjHWOFknIvNFpH6ZPL4SkRVirB1yq2t/oIj8KSJrXfc+qor0nxKRB0TkaiAW+MZVvktFZFaZa4eKyI9ufkbjgX8BjcWIVF2Re8qUs72baWt1nK5ctDNVG+A9pVQnIBO4qswxb6VULMZM6CnAWKVUF4zgj3dWke6TGCFjOmHE72rmZp7+rlbVXcBnVeTxMJDgapU9WPaAiHQCHgMGK6W6YqxLA7AU6KuMoJXTMEJwHBODEUMtDnjC9UirELhCKdUDuAB4zRVypKL0AVBKzcSIAjDBdT9zgPYiEuU65UY37g8RaQo0VEqtAr4DxlZyeqqrnB8AD1RynnYW0ZWLdqbaq5Ra73ofD7Qoc2y66992rvN2ura/wFgTpTL9ML68UUrNxVisyp08p7quWQIES5kV+k7RYGCGUirVld6x9TSaAL+LyCbgQYxFmY75SSlV4LpmIcY6GgK8ICIbMcKPNMYI+15R+ieljBAdXwHXuu4pjuNh1iszFqNSAePvWdmjsWPBUk/8m2pnsTP1mbWmFZV57wD8ymznuXG9neM/nnw9kOeJcZLUCXmcSj4n8w7wulJqtogMAp6qIu8JQBTQUylVIkaU6Orm/znwM0ZraIY6vtZKZcYDDURkgmu7kYi0UUrtOsm5x/6uDvR3zjlDt1y0umwH0EJEWru2rwMWu97vA3q63pd9vLUMGAMgIsMwgkO6Y6zrmn4YkW6zXHn0cO3vgbFuCUAOEFRBOguA0SIS4bou3LU/hOMhzK8/4ZpRYqw9H4ERrHO16/xkV8VyAdC8ivTLKlc+pdRh4DDG47TPK/4TGESkLRColGqslGqhjAjV/6UaHfva2UtXLlqdpZQqxOgjmOF6nOTEGHUGRjTet1wd/44ylz0NDHMNOx6NsYpgjhvZFYrIOlf6x9Z8/x4IF5EtwCSMKNoopdKAZa4O/nId+kqpLcDzwGIR2QAcWwbhKdd9xAOpJ+S9EeNx2ErgWVdl8A0Q67rviRiRhytLv6wpwIeuDv1jrbNvgINKqW1u/C3GAyd2+n/v2o+IzJFTHOqsnX10VGTtnOIaTeZQStlFJA5j5cduVVyzCHjghGG4p4WIPAXkKqVeNTmfd4F1SqlPKzi+DyN8/IkVX03yHITxdx3hqTS1M4duuWjnmmbAatev+reBW2u5PLXO1VqKAb6u5LQU4E8pM4myhnmOBd6n/IAK7SyiWy6apmmax+mWi6ZpmuZxunLRNE3TPE5XLpqmaZrH6cpF0zRN8zhduWiapmke9/+mPnDOqLCeFAAAAABJRU5ErkJggg==\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -291,6 +268,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "74354b2a", "metadata": {}, @@ -355,7 +333,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.9.16" } }, "nbformat": 4, diff --git a/examples/notebooks/models/lithium-plating.ipynb b/examples/notebooks/models/lithium-plating.ipynb index 7b6bf56d0c..df04b614ab 100644 --- a/examples/notebooks/models/lithium-plating.ipynb +++ b/examples/notebooks/models/lithium-plating.ipynb @@ -74,10 +74,11 @@ "# specify experiments\n", "pybamm.citations.register(\"Ren2018\")\n", "\n", + "s = pybamm.step.string\n", "experiment_discharge = pybamm.Experiment(\n", " [\n", - " (\"Discharge at C/20 until 2.5 V (10 minute period)\",\n", - " \"Rest for 1 hour (3 minute period)\")\n", + " (s(\"Discharge at C/20 until 2.5 V\", period=\"10 minutes\"),\n", + " s(\"Rest for 1 hour\", period=\"3 minutes\")),\n", " ]\n", ")\n", "\n", @@ -146,7 +147,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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eREQE7du3t1R4Vd61DWBat25NYWEh//vf/+jVqxcnT57E3t4egClTprBhwwZ+/vlnnJ2dmTBhAo8++qhp+o5er6dfv374+Piwd+9e4uLiGDp0KFqt1vS0Pioqin79+vH888/z3XffsW3bNkaPHo2vr69pnaAff/yRqVOn8umnn9K2bVsWLVpE7969OX36NF5eXpb5gMop/nw6GMFoMEqCUAhx16nIPcHtqltZp06dIijo6rJiWVlZ+Pr6FltODcpehkSr1ZodK4pyw12Ts7KyeO6555g4cWKx964l1ADT79prbG3LXsaif//+1KpVi2XLluHn54fBYKBx48albsyxatUqpk+fzoIFC2jfvj2Ojo68//777N+/v8zzVFZFPqsbXeu10YnXP/i9thbkf/33cyypLCsri/79+zNv3rxidX19fU1/rszf9+0gSUILCfYMZm9qOLlWGaRfycHNt3hWWQghhBBVi9Fo5IUXXmDNmjXs3LnT9AXgml69euHh4cF7773HmjVrirVPS0uTdQm5ugD69b788ku8vLw4fPgw9913H+np6axYsYLvv/+ebt2urhG1cuVKGjRowN9//027du3YsmULJ0+e5I8//sDb25vmzZvz9ttv8/LLL/PGG29gZWXFp59+SlBQEAsWLACgQYMG/PXXXyxcuNCUJPzggw8YM2YMI0aMAODTTz9lw4YNfPHFF8yYMaPE+PPz88nPzzcdZ2RYZiORFr1r4RPsjHuNovtIg/7qFwqVWh5ACyGEJWzfvp1jx44xZcoUAFq0aEF8fDwajeaWbjhhZWVlWjPwmhYtWnDy5Enq1KlTob6aNm3Ktm3bzKYIX5OcnMzp06dZtmwZnTtfHbF5/SyKkuzZs4cOHTowbtw4U9l/R02WFP9/NWjQgNWrV5uNzNyzZw+Ojo5mD2krwtHRkcDAQLZt28b9999f7P1rU3vj4uIIDQ0FMNvEpKJatGjB6tWrCQwMvKldm7Va7Q0/r1tB7h4spFHA1SG56bb5nL+cbuFohBBCCFEe48eP59tvv+X777/H0dGR+Ph44uPjyc3NBa4+PV6+fDkbNmzgoYce4o8//uDChQscOnSIl156ieeff97CV1A1/XcDmMOHD6PT6ejRo4epTv369alZsyb79u0DYN++fTRp0sRs+nHv3r3JyMjgxIkTpjrX93GtzrU+CgoKOHz4sFkdlUpFjx49THVKMnfuXJydnU2vgICAm7n8m+IX4oK1bdGXjr9+PstvS8LJyy551IMQQohbJz8/n/j4eGJjYzly5AjvvPMODz/8MA8++CBDhw4FoEePHrRv354BAwawZcsWLly4wN69e3nllVc4dOhQpc8dGBjIn3/+SWxsrGmn3Jdffpm9e/cyYcIEwsLCiIyMZN26daade0szc+ZMDh48yLhx4wgPDyciIoKlS5eSlJSEq6sr7u7ufP7555w9e5bt27czderUMvsLCQnh0KFDbN68mTNnzvDaa69x8ODBYvGHh4dz+vRpkpKSShytN27cOGJiYnjhhReIiIhg3bp1vP7660ydOrXEDVPK64033mDBggV89NFHREZGcuTIET7++GPg6kjDdu3a8e6773Lq1Cl27drFq6++WulzjR8/npSUFJ588kkOHjzIuXPn2Lx5MyNGjKhQ0u9aYjM+Pt606/TtIElCCylQh1CQ2pZYBw+iIi9YOhwhhBBClMPSpUtJT0+na9eu+Pr6ml4//vijqc7DDz/M3r170Wq1PPXUU9SvX58nn3yS9PR0Zs+ebcHoq6aSNoCJj4/Hysqq2KhLb29v4uPjTXWuTxBee//ae2XVycjIIDc3l6SkJPR6fYl1rvVRkpkzZ5Kenm56xcTEVPzCb4OMpFxO7b1MzMkUEqIsM7pRCCHuJZs2bcLX15fAwED69OnDjh07+Oijj1i3bp1pPUFFUfj999+57777GDFiBHXr1mXw4MFcvHix2O+finjrrbe4cOECtWvXNo1+a9q0Kbt27eLMmTN07tyZ0NBQZs2ahZ+fX5l91a1bly1btnD06FHatGlD+/btWbduHRqNBpVKxapVqzh8+DCNGzdmypQpvP/++2X299xzz/Hoo4/yxBNP0LZtW5KTk81GFQKMGTOGevXq0apVKzw9PUvcXdjf35/ff/+dAwcO0KxZM55//nlGjRp1U0k7gGHDhrFo0SI++eQTGjVqxIMPPmjafA6ubixSWFhIy5YtmTx58k3dv/n5+bFnzx70ej29evWiSZMmTJ48GRcXlwolOhcsWMDWrVsJCAgwjXC8HRSjrLBdTEZGBs7OzqSnp+Pk5HRbzjF85d/sPJ2Mtc8axuvaM/HFUbflPEIIIURVlJeXR1RUFEFBQaad9oS5sj6jO3GvcqeMHTuWjRs38tdff5mmDn3//feMGDHCbEovQJs2bbj//vuZN28ezz77LBcvXmTz5s2m93NycrC3t+f333+nb9++1K1blxEjRjBz5kxTnd9//51+/fqRk5NDamoq/v7+7N2712wNyZdeeoldu3aVe+2kqvT3cSUmk/hz6TTpWrlpWEIIcafJPYEQt8atuHeUkYQWEuxx9S/FUOBBUvoZC0cjhBBCCHHnXdsAZseOHWZrC/n4+FBQUEBaWppZ/YSEBHx8fEx1EhISir1/7b2y6jg5OWFra4uHhwdqtbrEOtf6qEou5uaTWVj21CTPAEezBGF+biEndsfKzttCCCGEuCFJElpILXc7AIwFbmTnV40pKkIIIYQQd4LRaGTChAmsWbOG7du3F9sApmXLlmi1WrZt22YqO336NNHR0aYRf+3bt+fYsWMkJiaa6mzduhUnJycaNmxoqnN9H9fqXOvDysqKli1bmtUxGAxs27atyu1OnaM3MPRYFD0PnSYiO7dcbYwGI1tXnGDnd6fZ9+u5GzcQQgghxD1Ndje2kJr/JgkNOnfylUT0hQbUGsnZCiGEEOLuN378eL7//nvWrVtn2gAGwNnZGVtbW5ydnRk1ahRTp07Fzc0NJycnXnjhBdq3b0+7du2AqztJN2zYkGeeeYb33nuP+Ph4Xn31VcaPH4+1tTUAzz//PIsXL+all15i5MiRbN++nZ9++okNGzaYYpk6dSrDhg2jVatWtGnThkWLFpGdnW3a7biquJxfQFahngKjEXdtOW/hFajZyI3LZ9Oo08rr9gYohBBCiGpPkoQWUsvt3yRhgRs56nQyknJx9bG3cFRCCCGEELff0qVLAejatatZ+cqVKxk+fDgACxcuRKVSMXDgQPLz8+nduzeffPKJqa5area3335j7NixtG/fHnt7e4YNG8Zbb71lqhMUFMSGDRuYMmUKH374ITVq1GD58uX07t3bVOeJJ57gypUrzJo1i/j4eJo3b86mTZtuajH526GOnQ3bWtcjOq8ATyutqTzfYMC6lIXPFUWh6f0BhLT2xtbBylRu0BtQqeXhtBBCCCHMSZLQQmq42qFgxGi0IsVWy8W4DEkSCiGEEOKeUJ718WxsbFiyZAlLliwptU6tWrX4/fffy+yna9eu/PPPP2XWmTBhAhMmTLhhTJbmotXgct0owv1pWYw9eZFF9Wtyn5tjqe2uTxBmJOWy/sMwOj9Rl1qN3W9rvEIIIYSoXuQRooVYaVR4Ol29yYu3d+PcuWgLRySEEEIIIaqTDy8mcDlfx0/xKeVuc2TzRdKv5LJ//XmMBtnMRAghhBBFZCShBQW6O5CYkU6a1p34i5FAW0uHJIQQQgghqonljYP4+GIC42uWf73Bzk/URWutpln3migq5TZGJ4QQQojqRkYSWlBtTycADAXuJKWetnA0QgghhBCiKjPk5GA0GEzHdmoVLwf74qBRm8qWRCdyJD271D7UGhUdHwvBwdXaVBZ3No1Cnf72BC2EEEKIakOShBZUy/3qGoQGnTtZ+RctHI0QQgghhKiqjIWFXHphIrGTp2DIzS2xzoYrabx97jKPhp3lUl5BufqNO5fOukVhrFsYRn5u4a0MWQghRAV07dqVyZMn39I+L1y4gKIohIWF3dJ+xd1LkoQWdP0Ox3kkotcbbtBCCCGEEJb2559/0r9/f/z8/FAUhbVr1xarc/bsWUaMGEGNGjWwtrYmKCiIJ598kkOHDt35gMVdIe/4cbIPHCBr924KomNKrNPV1ZEe7k48F+BFDRurEuv8l6HQgFqrwsZBi9ZafeMGQgghALhy5Qpjx46lZs2aWFtb4+PjQ+/evdmzZ4+pTmn3CSX59ddfefvtt29pjAEBAcTFxdG4ceNb2u/dYPjw4QwYMMDSYVQ5siahBdV0v5okNOrcydOkkpmch4uXnYWjEkIIIURZsrOzadasGSNHjuTRRx8t9v6hQ4fo3r07jRs35rPPPqN+/fpkZmaybt06pk2bxq5duywQtajubJs3p9bKL9BnZGJTr26Jdew1ar5qEsT1Kw3m6Q2oFQVtKesP+tdzZdCMVti7WKOSNQqFEKLcBg4cSEFBAV999RXBwcEkJCSwbds2kpOTK9RPQUEBVlZWuLm53fIY1Wo1Pj4+t7zfO+Ha53I9vV6PoiioVDLe7XaRT9aCrk03NurtSbfScyk+y8IRCSGEEOJG+vbty+zZs3nkkUeKvWc0Ghk+fDghISHs3r2bfv36Ubt2bZo3b87rr7/OunXrLBCxufXr11f4lVvK9FZxZ9m1aoVjt/tNxwWXLpG5fYdZHbWioFKuJvsMRiMvnIpmSPg50nWlTyV28bYzG0V4ZMtFzh5OvMXRCyHE3SMtLY3du3czb9487r//fmrVqkWbNm2YOXMmDz30EACBgYEAPPLIIyiKYjp+4403aN68OcuXLycoKAgbGxug+HTjwMBA3n77bZ588kns7e3x9/dnyZIlZnEoisLSpUvp27cvtra2BAcH88svv5je/+904507d6IoCtu2baNVq1bY2dnRoUMHTp823yNh9uzZeHl54ejoyOjRo5kxYwbNmzcv8zM5ceIEDz74IE5OTjg6OtK5c2fOnTtX4rUBDBgwgOHDhxe73qFDh+Lk5MSzzz7Ll19+iYuLC+vXr6dhw4ZYW1sTHR1Nfn4+06dPx9/fH3t7e9q2bcvOnTtNfV1rt3nzZho0aICDgwN9+vQhLi7O9Hfw1VdfsW7dOhRFQVEUs/b3MhlJaEEO1hqcbRXSc43E2btx9nwMjZuWf3c6IYQQ4m5iNBrJMdz5pTfsVCoU5daMoAoLC+PEiRN8//33JT7ldnFxuSXnuRkVnVqjKAqRkZEEBwffnoBEpeizsoh5/nkKzp3Hb967OP/7pfR6kTn5bEvJQGcwciYnn9bON771vxSRwr5fz4ECLt6t8ajheDvCF0KIG9LlX91QSWNV9HtaX2jAoDeiUimotaridbUq087ter0BQ6ERRQUarfqGddXq8o+hcnBwwMHBgbVr19KuXTusra2L1Tl48CBeXl6sXLmSPn36oFYXxXD27FlWr17Nr7/+alb+X++//z7/+9//ePPNN9m8eTOTJk2ibt269OzZ01Tntdde49133+XDDz/km2++YfDgwRw7dowGDRqU2u8rr7zCggUL8PT05Pnnn2fkyJGmadLfffcdc+bM4ZNPPqFjx46sWrWKBQsWEBQUVGp/sbGx3HfffXTt2pXt27fj5OTEnj17KCys2Fq38+fPZ9asWbz++usA7N69m5ycHObNm8fy5ctxd3fHy8uLCRMmcPLkSVatWoWfnx9r1qyhT58+HDt2jJCQEABycnKYP38+33zzDSqViqeffprp06fz3XffMX36dE6dOkVGRgYrV64EuC0jOasjSRJaWE13O45dyibZ2oP4C+eAlpYOSQghhLCIHIOB2n8eu+PnPXdfE+zLuEGviMjISADq169/S/q7XeLj4/HyKt+DSUdHSRJVRSobG+xat8aQkYld27Yl1qlnb8O60Dqcz82ntbN9ufr1q+tKk641UGtVkiAUQljU55OuLs8x8v1O2DpenXb6z5Zo9q8/T8OOvtz/TFES7IsXd1NYYOCZ2e1x8rAF4PjOWP76OZKQ1t70GtXIVPfrV/aSl6Vj8Kw2uPs5ABCxN45Gnf3LHZtGo+HLL79kzJgxfPrpp7Ro0YIuXbowePBgmjZtCoCnpydw9QHhf6f8FhQU8PXXX5vqlKZjx47MmDEDgLp167Jnzx4WLlxoliQcNGgQo0ePBuDtt99m69atfPzxx3zyySel9jtnzhy6dOkCwIwZM+jXrx95eXnY2Njw8ccfM2rUKEaMGAHArFmz2LJlC1lZpc98XLJkCc7OzqxatQqtVmuKt6K6devGtGnTTMe7d+9Gp9PxySef0KxZMwCio6NZuXIl0dHR+Pn5ATB9+nQ2bdrEypUreeeddwDQ6XR8+umn1K5dG4AJEybw1ltvAVeTvLa2tuTn51fb6di3i0w3trDaHs4AFBa6cyX59A1qCyGEEKIqMxqNlg7hhoYNG4atrW256z/99NM4OTndxohEZSgaDT6zZhG0dg1ab29TufE/o3GbONrxsJer6fhKgY4/kjNK7VelUuj8RAgdHq1tKtPrDOgK9LcweiGEqP4GDhzI5cuXWb9+PX369GHnzp20aNGCL7/88oZta9WqdcMEIUD79u2LHZ86darCdf7rWiITwNfXF4DExKvLTJw+fZo2bdqY1f/v8X+FhYXRuXNnU4Kwslq1alWszMrKyizeY8eOodfrqVu3rmlEp4ODA7t27TJNbwaws7MzJQjh6nVeu0ZROhlJaGGmdQkL3MnKu2DZYIQQQggLslOpOHdfE4uc91a59tQ8IiKC0NDQW9bvrXRtWk15LV269DZFIirqQNwB3GzcqONaB7g6FVxz3fSonH/+IeHt2dT4+CO0/sVHxGTr9QwJP8/xzFw+alCTx3xKnlp1/fR7o9HItq9PkZGUS79xTU2jeYQQ4nZ79sOrI900VkW/p0N71aRZ94BiGy2NfL/z1brXTUFu3NWfhp38UP7za37onA7F6tbv4FupGG1sbOjZsyc9e/bktddeY/To0bz++utma+2VxN6+fKO7b5frk3nX/p9vuIklX2708FGlUhV7kKrT6YrVK+lzsbW1Nfu9lJWVhVqt5vDhw8Wmajs4OJj+/N+EpaIo1eJhrqXJSEILq/XvDscGnRv5xngM+ju/FpMQQghRFSiKgr1afcdft2o9QoDmzZvTsGFDFixYUOLNdlpa2i07l7i3RKZGMmnHJIZuHMrplOKzT4xGI/FvvU3eyZNcWVLyFDNrRUVTBztctGpaOJXvC2pmch7RJ5O5cjGT5FjZZE8IcedordVorc1/T6s1KrTWarP1CM3qXpc8VKuv1r1+PcKy6t4KDRs2JDs7u+hcWi16feVHYv/999/Fjv+71mB56lREvXr1OHjwoFnZf4//q2nTpqapwSXx9PQ0bRoCV3cpPn78eKXiCw0NRa/Xk5iYSJ06dcxeFZk6bGVldVN/N3crSRJa2LWRhIYCd/LVqWSm5Fk4IiGEEEKUJSsri7CwMNNOgVFRUYSFhREdHY2iKKxcuZIzZ87QuXNnfv/9d86fP094eDhz5szh4Ycftmzw11m+fDnDhg0zjSz88ccfadCgAcHBwaYFw0XV4WHrQYhrCPXc6hHkXHzxeEVRCFj6Cc4DBuDz6isl9qFRKbxfrwZbW9Uj2K74IvslcfKwZeCLLekxsiE16sui7kIIAZCcnEy3bt349ttvCQ8PJyoqip9//pn33nvP7Hd9YGAg27ZtIz4+ntTU1AqfZ8+ePbz33nucOXOGJUuW8PPPPzNp0iSzOj///DNffPEFZ86c4fXXX+fAgQNMmDCh0tf2wgsvsGLFCr766isiIyOZPXs24eHhZT5UnTBhAhkZGQwePJhDhw4RGRnJN998Y9o1uVu3bmzYsIENGzYQERHB2LFjK/3gtG7dugwZMoShQ4fy66+/EhUVxYEDB5g7dy4bNmwodz+BgYGEh4dz+vRpkpKSSk1w3mtkurGFXRtJaCx0IsMqn7j4bJw97SwclRBCCCFKc+jQIe6//37T8dSpU4Gra/19+eWXtGnThkOHDjFnzhzGjBlDUlISvr6+dOjQgUWLFlkoanOLFi3i1VdfpXfv3rzyyitcvnyZhQsXMmXKFPR6PQsWLMDf359nn33W0qGKf7nauLKs1zLy9flYqYum/BqNRtMXN62PD37vzjVrV3DhAlaBgaZjRVHwtylqfyorl/kX4llUvyaOmpI38HH1scfVp2jkYW5mAfFRGQQ19bgVlyaEENWOg4MDbdu2ZeHChZw7dw6dTkdAQABjxozhf//7n6neggULmDp1KsuWLcPf358LFy5U6DzTpk3j0KFDvPnmmzg5OfHBBx/Qu3dvszpvvvkmq1atYty4cfj6+vLDDz/QsGHDSl/bkCFDOH/+PNOnTycvL4/HH3+c4cOHc+DAgVLbuLu7s337dl588UW6dOmCWq2mefPmdOzYEYCRI0dy9OhRhg4dikajYcqUKWb3UhW1cuVKZs+ezbRp04iNjcXDw4N27drx4IMPlruPMWPGsHPnTlq1akVWVhY7duyga9eulY7pbqEYZVJ2MRkZGTg7O5Oenn7bF+o2Go00mPU7eTqo7byASU0+5KEH7/x6TEIIIcSdlJeXR1RUFEFBQdjY2Fg6nCqprM/oZu9VGjRowGuvvcZTTz3FP//8Q5s2bfj0008ZNWoUACtWrGDp0qUcOnTollzL3e5O3jte78eIHzmWdIzX27+OVl18sfj09eu5PGMm3jNn4vbM08Xe1xuNdDkQwdmcfIb6ufNevYAbnrOwQM+6Rf8QH5XB/UPq07CT3y25FiHEvUvuCUoWGBjI5MmTmTx5cql1FEVhzZo1DBgw4LbG0rNnT3x8fPjmm29u63nEzbkV944y3djCFEWhhuvVv7xEOzfio87doIUQQgghxM25ePEinTp1Aq6u7aNWq2nXrp3p/S5dupjtECiqnoTsBOYdnMe6c+vYdGFTiXXyTpwAgwFdbGyJ76sVhSUNa9HJxYH/BZdv0X6VRoVnTSesbTX41HaudPxCCCGqppycHD744ANOnDhBREQEr7/+On/88QfDhg2zdGjiDpDpxlVAsKcTZxPzKDB4kJR0xtLhCCGEEOIuZ2dnZ7awuqenp9mOgACFhYV3OixRAd723nx4/4fsubyHB4NLnl7lNWMGdq1b49CtW6n9NHO045fQOmZlSQWFeFiV/DVBpVLo/EQILXrXxMFVRvwIIcTdRlEUfv/9d+bMmUNeXh716tVj9erV9OjRw9KhiTtAkoRVQJC7A5CIocCNzNzzlg5HCCGEEHe5+vXrEx4ebtr9MCYmxuz9iIgIAq9bx05UTZ1rdKZzjc6mY71BT0xmDIHOgcDVL3qO132pMxqNpH79NS6PPYbKvuTdjTcnpfP8iYt81KAm/b1cSqyjKIpZgjDlcja7fzpDjxENsXcu34YoQgghylae9Qtvx+pxtra2/PHHH7e8X1E9yHTjKuD6HY7zjHEY9AYLRySEEEKIu9m8efOoV69eqe9HR0fz3HPP3cGIxM0yGo3MOziPwRsGcyCu5MXlkz7+mIS57xI9ajRGvb7EOusT08g1GNiZklHu82776iSXIlLZ88vZSscvhBBCCMuTkYRVgGmHY50bBapkslLzcfKwtXBUQgghhLhbXdttsDTjxo27Q5GIW0Vn0HE27Sw5uhyS85JLrOPQpQupP6zCZdAgFHXJOxl/1KAmbZztecrXvVznVRSFnqMa8dfPkdz3RN1Kxy+EEEIIy5ORhFVATberSUJDgRvZ2mwSErJv0EIIIYQQ4tYaN24cSUlJlg5DVJKV2oqlPZayuPti+gb1LbGObbNm1N60EZeBj5baj1pRGObvgValAFdHCv4Un0K+ofSZLi5edjw4vhk2DkU7LKdfyanklQghhBDCUiRJWAX4udiiVhkBDYkO9py5mGDpkIQQQghxj/n222/JyCjfFFNRNVmrrbmvxn2m42xdNmsi15itWaV2LtqR2JCXR8zzY8k5dKjUPpfGXGHiqWiePHoefTnXvoo+kcz3r+9n//+dvy3rZQkhhBDi9pDpxlWAWqXg42xFbKqOOFt34i5cABpZOiwhhBBC3EMkmXN30Rv0TN4xmb/j/iYuO45xzYtPIU/67DOydu4k78QJam/dgsqm+G7FTRxscVSr6OXuhFpRynXuhAsZGAxGMpPzbvo6hBBCCHHnSJKwigj2cCQ2NYUcxZ3kBFn0WQghhBBCVJ5apea+GvdxLOkYnf07l1jH47nn0F28iOtTT5WYIATo7ObI7rYN8LHWlvh+SVr3C8Ld34Fajd1RyplYFEIIIYTlyXTjKiLYwxEAo86djGxJEgohhBDizsrMzCQ4ONjSYYhb6JmGz7DhkQ008WxS4vsqGxv8P/gAu1atTGWFqanFRpVenyDUGYyMPh7FrpTMMs8d3NwTtaboq8aRzRdJS5R1CoUQ4mYoisLatWstHYa4i0mSsIqo6W4PXN28JM9wGYNBpvwIIYQQ4s5ITEzk+PHjhIeHm71E9eduW7RLcWxWLFN3TiU9P73EurqERC4MfIyEt2dj1OtLrLPs0hV+u5LOmBNRpOsKyxXDyT2X2bfmHL++f5i8bF3FL0IIIaoYRVHKfL3xxhultr1w4QKKohAWFnbH4q2q5LOoemS6cRVRy7TDsTsFqiSyUvJw8rC1cFRCCCGEKEl8fDxz5sxhw4YNxMbG4uXlRfPmzZk8eTLdu3c31QsKCmLZsmVoNBoWLlzIgQMHyMjIICQkhBdffJEhQ4ZY8Crg8OHDDBs2jFOnTplGjymKgtFoRFEU9KUkioRlRMRn4GpnhbdTyVODy2I0Gnlp10uEJ4WjUlTM7zK/WJ2cA/vRxcWRvWcPhqwss01OrhlVw4OTWbk85OWCs7Z8XyVqNXbHq5YjwaGe2NiXf9qyEEJUVXFxcaY///jjj8yaNYvTp0+byhwcHCwR1i2n1+tRFAWVynx8WUFBAVZWVhaKStxOMpKwiqjl/m+SUOdOjiaTJJmOIYQQQlRJFy5coGXLlmzfvp3333+fY8eOsWnTJu6//37Gjx9vqhceHk5qaipdunRh7969NG3alNWrVxMeHs6IESMYOnQov/32mwWvBEaOHEndunXZu3cv58+fJyoqyuy/ouqIScnhmRUHePSTvVxIyq5we0VReL3D6zTzbMaLrV4ssY5z//74L1pEwIrlJSYIAaxVKhY3rEUvj6L3E/J1FBgMpZ7b3tmaR6a3oEXvWqayQp1eNssRQlRbPj4+ppezszOKopiOvby8+OCDD6hRowbW1tY0b96cTZs2mdoGBQUBEBoaiqIodO3aFYCDBw/Ss2dPPDw8cHZ2pkuXLhw5cqRCcRkMBt577z3q1KmDtbU1NWvWZM6cOQDs3LkTRVFIS0sz1Q8LC0NRFC5cuADAl19+iYuLC+vXr6dhw4ZYW1sTHR1NYGAgb7/9NkOHDsXJyYlnn30WgL/++ovOnTtja2tLQEAAEydOJDu76HdUYGAg77zzDiNHjsTR0ZGaNWvy+eef3/CzEJYjIwmriIB/RxJisCHZXktkbDLBDd3LbiSEEELcRYxGI8bc3Dt+XsXWtkKbK4wbNw5FUThw4AD29vam8kaNGjFy5EjT8bp16+jTpw9arZb//e9/Zn1MmjSJLVu28Ouvv/Lggw/e/EVU0vnz51m9ejV16tSxWAyifIxGcLDWYK1R4eZQudEbdV3r8k3fb8z+vecW5mKrKZq94tS7l1mbnIMH0dasidbbu8Q+03SFPBZ2Fl9rLcsbB+GkUZdYT6MtKjfoDWz67DjW9hq6Pd0AtVbGLQghihiNRgoLSn/wcDtprFQ3veHShx9+yIIFC/jss88IDQ3liy++4KGHHuLEiROEhIRw4MAB2rRpwx9//EGjRo1MI/IyMzMZNmwYH3/8MUajkQULFvDAAw8QGRmJo6Njuc49c+ZMli1bxsKFC+nUqRNxcXFERERUKP6cnBzmzZvH8uXLcXd3x8vLC4D58+cza9YsXn/9dQDOnTtHnz59mD17Nl988QVXrlxhwoQJTJgwgZUrV5r6W7BgAW+//Tb/+9//+OWXXxg7dixdunShXr16pX4WwnIkSVhF2GjVuDuoSc7Sc9nenUvno4C6lg5LCCGEuGOMubmcbtHyjp+33pHDKHZ25aqbkpLCpk2bmDNnjlmC8BoXFxfTn9evX8/UqVNL7Ss9PZ0GDRpUON5bqXv37hw9elSShNVATXc7Vo/tQEGhASebyk/Zvf7L75GEI0zdOZX3u7xPa5/WxermHj9BzHPPo3JxJvCbb9D6+xerczo7j9h8Hdl6A9l6falJwuslRGUQfTIFtVohtGctPGrcHdPyhBC3RmGBgc8n7bLIuZ/9sAta6xv/f6ws8+fP5+WXX2bw4MEAzJs3jx07drBo0SKWLFmCp6cnAO7u7vj4+JjadevWzayfzz//HBcXF3bt2lWuB4qZmZl8+OGHLF68mGHDhgFQu3ZtOnXqVKH4dTodn3zyCc2aNTMr79atG9OmTTMdjx49miFDhjB58mQAQkJC+Oijj+jSpQtLly7Fxubq0hgPPPAA48aNA+Dll19m4cKF7Nixg3r16pX6WQjLkSRhFRLkYU9yVgYZGndS4qIsHY4QQggh/uPs2bMYjUbq169fZr3Y2FjCw8Pp27dvie//9NNPHDx4kM8+++x2hFluy5cvZ9iwYRw/fpzGjRuj1Zonnx566CELRSZK4mZvPsJi84l4EjPyeKZ9YKX6++rEVyTnJfNDxA8lJgnVLi5ovLzQ+Pqg/veL3H+1dXFgXWgdNIqCr3X5RoD41nGh/wvN0OXpJUEohLirZGRkcPnyZTp27GhW3rFjR44ePVpm24SEBF599VV27txJYmIier2enJwcoqOjy3XuU6dOkZ+fb7Y2cmVYWVnRtGnTYuWtWrUyOz569Cjh4eF89913pjKj0YjBYCAqKsr0IPT6vq5Ny05MTLypGMXtI0nCKiTYw4lDFzIwFLiTnn3G0uEIIYQQd5Ria0u9I4ctct7yKu8aauvXr6dTp05mIwuv2bFjByNGjGDZsmU0atSo3Oe+Hfbt28eePXvYuHFjsfdk45KqLSopm4k//EN+oQEvJxt6N6r4CIz3urzH5+GfM7rJ6BLft6rhT60fvkfRalGVMQWsiaP5SNwDaVlk6Q10c3cqtU1AAzez48yUPNIScwio71ZKCyHEvUJjpeLZD7tY7NyWMmzYMJKTk/nwww+pVasW1tbWtG/fnoKCgnK1t73B/cy1zUeuv5fR6YrvOG9byjIs/51BkZWVxXPPPcfEiROL1a1Zs6bpz/99AKkoCoYy1rEVliVJwiqklvvVHzqDzo28whMYDUYU1c2thyCEEEJUF4qilHvar6WEhISgKMoN1/dZv359iaPwdu3aRf/+/Vm4cCFDhw69XWGW2wsvvMDTTz/Na6+9hncpa86JqinQ3Y4J99fh6KU0utf3qlQf1mprXgh9wazseNJxGns0Nh1rXF3N3k/5/nsUjQbXxx8vsc/o3HyGH48iTafnm6bBdC8jUXhNQV4hG5YcJSUuh54jGxLSSv4tCnEvUxTlpqf8WoqTkxN+fn7s2bOHLl2KEp179uyhTZs2AKZ19/77IG7Pnj188sknPPDAAwDExMSQlJRU7nOHhIRga2vLtm3bGD26+MOfa1N74+LicP33/+1hYWHlv7j/aNGiBSdPnrypJUtK+yyE5cgqwVVIzX83LzEUuKNTXSErLd/CEQkhhBDiem5ubvTu3ZslS5aY7d53TVpaGllZWezYsYOHH37Y7L2dO3fSr18/5s2bZ9oV0NKSk5OZMmWKJAirIUVReKF7CJ890wqNumh0SJ6u8l+01p5dy5MbnmT+wfkljprNDQ8n4e3ZxM96nZxDh0rsw8daS093Z5o62tHepXxTidVqFe41HLB10OITXPKuykIIUV28+OKLzJs3jx9//JHTp08zY8YMwsLCmDRpEgBeXl7Y2tqyadMmEhISSE9PB64m+b755htOnTrF/v37GTJkyA1HB17PxsaGl19+mZdeeomvv/6ac+fO8ffff7NixQoA6tSpQ0BAAG+88QaRkZFs2LCBBQsWVPo6X375Zfbu3cuECRMICwsjMjKSdevWMWHChHL3UdpnISxHkoRVSC33q0lCY4E7eZp0khOKf/kQQgghhGUtWbIEvV5PmzZtWL16NZGRkZw6dYqPPvqI9u3bs2nTJurWrUtgYKCpzY4dO+jXrx8TJ05k4MCBxMfHEx8fT0pKiuUuBHj00UfZsWOHRWMQN0d93ayTpbvO8dine7mSWbkHzRn5GQColJJ397Rp0gT3557F5cnB2LYseZMhK5WKRfUD+KV5bezURV81Cg2lT9VXa1X0GN6QQTNb4+hmYyov7/R+IYSoSiZOnMjUqVOZNm0aTZo0YdOmTaxfv56QkBAANBoNH330EZ999hl+fn6mh4orVqwgNTWVFi1a8MwzzzBx4kTTzsLl9dprrzFt2jRmzZpFgwYNeOKJJ0zr/2m1Wn744QciIiJo2rQp8+bNY/bs2ZW+zqZNm7Jr1y7OnDlD586dCQ0NZdasWfj5+ZW7j9I+C2E5ilF++xaTkZGBs7Mz6enpODndeIrErZKeo6PZW1sAaGP9GmPu+5me3WvfsfMLIYQQd0peXh5RUVEEBQWZdr+rTuLi4pgzZw6//fYbcXFxeHp60rJlS6ZMmcKKFSuoVauW2Y338OHD+eqrr4r106VLF3bu3FniOcr6jG7VvcqcOXNYtGgR/fr1o0mTJsXWDSppnSFRnKXuHa+XnqOj+wc7ScoqYN7AJjzRuuaNG5XgcMJhQr1CUSmljyUwGo2mJKKxsBBjfj6qEnb7vubn+BSWXbrC102C8bEu387M8VHp7F51ht5jGuPkUf6RNEKI6qe63xMIUVXcinvHKjOS8N1330VRFNP22SU5ceIEAwcOJDAwEEVRWLRoUbE6197772v8+PG3L/hbxNlOi4PN1RuuWEc3LkVdsGxAQgghhCiRr68vixcv5sKFC+Tn53Pp0iXWrVtHp06d+P3334utR/jll19iNBqLvUpLEN4py5cvx8HBgV27drF48WIWLlxoepV0nyWqLmc7Lb8834FXHmhQ6QQhQEvvlqYEocFo4LOjn5GSZz7i1ZQgNBqJf3s2F555Bl0pO1Xm6g3MPR9HeGYuP8aVb+Ss0Wjkzx/OkHgxk4O/RVX6WoQQQghRMVVi45KDBw/y2WeflbjN9vVycnIIDg5m0KBBTJkypdS+rl/08vjx4/Ts2ZNBgwbd0phvl5pudpy8nE2KlTuply9YOhwhhBBCVEBKSgpTpkyhdevWlg6lXKKiJAFzNwn0sGfMfcGm44JCAycupxNa07WMVqX79OinLD26lI1RG/m5/89o1eajAAsTr5C5dSv61FTyTpxAW8K0OFu1ijWhdfgqNpkXapVv2pyiKDwwtil/rz1H58F1KxW7EEIIISrO4iMJs7KyGDJkCMuWLTPtsFOa1q1b8/777zN48GCsra1LrOPp6YmPj4/p9dtvv1G7dm2znYX+Kz8/n4yMDLOXpdT2uDrs01DoTnpmpMXiEEIIIUTFeXl58eqrr5a4npsQd5LBYOSlX44y6NN9rAuLrVQffYP64u/gz4jGI4olCAG03l4ErvoBv3fn4nj//aX2U8vWmll1/FD9+3NhMBrZmpRe5pqDDq7W9BjRECubojEN0SeTMZSxtqEQQgghbo7Fk4Tjx4+nX79+9OjR45b3XVBQwLfffsvIkSPLvFmfO3cuzs7OpldAQMAtj6W8arlfXc/FUOBOXuEljHIjJIQQQog7bN26dXz99deWDkPcBL3RyLXbSGfb8q0D+F9BzkGseXgND9cpWkj+v4k9q5o1cb5uoXl9ZiZZu3aV2e/7UfE8cyyKWWfLn7w8eziR//voKBuWhKPXG8rdTgghhBDlZ9Ek4apVqzhy5Ahz5869Lf2vXbuWtLQ0hg8fXma9mTNnkp6ebnrFxMTclnjKo+a/OxwbdO4UkEBWWuV2pxNCCCGEqKyXX36ZESNGWDoMcRO0ahWLnmjOL2M70LVexXbHvJ6tpmjTkNzCXEZvGc2WC1tKrGssKODShBeIeX4sqT/+VGqfDho1CtDYwa5CsWi0Klx97FCrLT7OQQhxG8ieqkLcnFvxM2SxNQljYmKYNGkSW7duvW07GK1YsYK+ffvecAtua2vrUqcv32mBppGEbuRr00lNzMHRTXZ4EkIIIcSdExERYekQxC2gUik0D3AxHadkF7Bs93mm9KiLlabiibZVEas4EH+AyNRIOvh1wMHKwbyCWo11nTrkHjuGbdMmpfYzvqYXPd2dqGtf/nvcOi29cPOzx8W7KLF4/S7LQojqS6u9Oto5JycHW1vZzVyIysrJyQGKfqYqw2JJwsOHD5OYmEiLFi1MZXq9nj///JPFixeTn5+PWq2udP8XL17kjz/+4Ndff70V4d4xtf4dSWjUuZBunce5+HRq1nezcFRCCCGEuJekpaXx7bffMmHCBEuHIm4Ro9HI898c5sCFFBIz8lnweLMK9zG04VAScxLpWatn8QQhoKjVeL/6Cm4jhmNVo0aZfV2fIMzVGxh5PIrxNb3o5OpYahs3X3uz69n+1Sk8aznSpGsNSRYKUY2p1WpcXFxI/HeXdDs7O/mZFqICjEYjOTk5JCYm4uLiclO5NIslCbt3786xY8fMykaMGEH9+vV5+eWXb+qiAFauXImXlxf9+vW7qX7uNC9Ha6w0UFCoJs7RlYtRMdA1yNJhCSGEEOIesG3bNlasWMGaNWuws7OTJOFdRFEUxnerQ+yvxxjbNfjGDUqgVql5uc3LZmWXMi/haeeJtdradJ7rE4QF0dHEv/EmvnPfQevtXWK/i6MT2JGSyYmsXP5u1xC7ckwnvngsmYi/4zlzIIGABm64+tjfsI0Qoury8fEBMCUKhRAV5+LiYvpZqiyLJQkdHR1p3LixWZm9vT3u7u6m8qFDh+Lv729as7CgoICTJ0+a/hwbG0tYWBgODg7UqVPH1I/BYGDlypUMGzYMjcZil1gpiqLg72pD1JU8Em3cSb18AbjP0mEJIYQQ4i4VExPDypUrWblyJdHR0QwePJg1a9bQvXt3S4cmbrEudT3ZPr0L1pqih/E6vQFtJdf4S8xJZMTmEfg7+PPh/R/ibO1crE7cK6+Sc/Ag8W+8ScDST0rs54Wa3lzK0/GEj1u5EoQAtZq402FgHbRWKkkQCnEXUBQFX19fvLy80Ol0lg5HiGpHq9Xe9GA7sGCSsDyio6NRqYpuFC5fvkxoaKjpeP78+cyfP58uXbqwc+dOU/kff/xBdHQ0I0eOvJPh3jK1PZyIupKHTu9OeupZS4cjhBBCiLuMTqdj7dq1LF++nN27d9OnTx/ef/99nnzySV555RUaNmxo6RDFbXJ9gjAyIZNRXx1i/qBmtAmq+PI2sVmxZBVkkZybXOpi6b5z5xL/5pv4vPlGqf3YqFV82KCmWdmZ7Dy8rTQ4a0v+uqIoCqE9zdvkZBSQlZqHVy2nil2IEKLKUKvVtyTRIYSonCqVJLw+0VfScWBgYLl2a+nVq1e13hmp1rXNS3Tu5OmiyUzJk81LhBBCCHHL+Pv7U79+fZ5++mlWrVqFq6srAE8++aSFIxN30kfbzxKdksPCrWf4fkzbCq8BFuoVypd9vsRea4+LjUuJdaxq+FNz2edmZQUXL2JVq1ap/V4p0DH46DlsVCp+aBZMLdsbbzCoLzSw6bNjJF7MpNfoRgQ396zQtQghhBACKje3QNxWgdc2LylwR6dKIOZkioUjEkIIIcT14uPjeeGFFwgODsba2pqAgAD69+/Ptm3bzOoFBQXxxx9/mJWdPXsWR0dHXFxc7mDE5goLC1EUBUVRZMTGPez9x5oyomMgS4a0qPQmAfXc6lHDsWgNwj2xe9h7eW+p9XMOHeL8g/1JeHceRr2+xDrJukIUQKWAaykjCf9LX2jA2l6LWqPg6mN34wZCCCGEKKZKjSQUV9U0jSR0Q6ckEx6RRMNOfhaOSgghhLi9jEYjuYW5d/y8thrbCiVILly4QMeOHXFxceH999+nSZMm6HQ6Nm/ezPjx44mIiAAgPDyc1NRUunTpYmqr0+l48skn6dy5M3v3lp5Iud0uX77M6tWrWbFiBZMmTaJv3748/fTTspvkPcZGq+b1/o3Myv6JTqVZDRdUqor/WzibepYpO6eg0+tY3ns5Lb1bFquTe+w4Rp0OXVwclPLvrb69LZta1SWr0ICTpnxJbCsbDQ8834TUhByzNQqNBiNKJa5FCCGEuBdJkrAKquV29emnocCNbKtsjlyO4XF9Y1SVXFRaCCGEqA5yC3Np+33bO37e/U/tx05b/pFH48aNQ1EUDhw4gL19UTKiUaNGZushr1u3jj59+qDVak1lr776KvXr16d79+4WTRLa2NgwZMgQhgwZwrlz51i5ciUTJ06ksLCQOXPmMHz4cLp16yajDO8xu85cYeSXB+nV0JsPB4dipanYvWdNp5p0DehKSl4KTT2blljHfcRwrIICsW/bFkVVev+eVlo8rYqOtySlsy4xjffrBZS6uYmiUnDzLfqZTLmczZYVJ+gxogEeNRwrdC1CCCHEvUiyTlWQv6stKgUwWhHt6oQ29SQJURmWDksIIYS456WkpLBp0ybGjx9vliC85vopxOvXr+fhhx82HW/fvp2ff/6ZJUuW3IlQy6127drMnj2bixcvsmHDBvLz83nwwQfx9va2dGjiDkvP1aFSwFarRquu+Og7K7UV73Z+l4/u/wit6mpy3Gg0ojOY71Tq2LUrKltb03Hy8uXkHj1aar9ZhXomnYpmdUIqKy5dKXc8e1ZHkhybxf515yt4JUIIIcS9SUYSVkFatQpfZ2ti0/K55ORJ35NHuXAyGd86LpYOTQghhLhtbDW27H9qv0XOW15nz57FaDRSv379MuvFxsYSHh5O3759AUhOTmb48OF8++23ODlVzZ1XVSoVffv2pW/fvly5coVvvvnG0iGJO+yhZn4EuttRz8ex0lPPVYrKbGTut6e+ZcuFLXzU7SNcbVyL1c/84w8S5y9Asbam9u8b0Pr7F6vjoFGzonEQX8Re4fkAr3LH0nNkI/asPkuHR2pX6lqEEEKIe40kCauoIA9HYtPyMRa4oS4IZ+/5ZNojNzhCCCHuXoqiVGjaryUYjcZy1Vu/fj2dOnUyjSwcM2YMTz31FPfdd99tjO7W8fT0ZOrUqZYOQ1hA0xouZscfbD1D+2B32td2r3Bf6fnpfBb+Gen56Wy9uJXH6z1erI5du/Y43H8/1iEhJSYIr+ng6kAHVwfTsdFoZE9aFp1cS59GbGOvpfvQBmZlZw8n4l/XBVtHq1JaCSGEEPcumW5cRdVyv7YuoTtn/fKJvRJJblaBhaMSQggh7m0hISEoimLanKQ069ev56GHHjIdb9++nfnz56PRaNBoNIwaNYr09HQ0Gg1ffPHF7Q7bjJubG0lJSeWuX7NmTS5evHgbIxJV1W/hl/loWyTDvjhAbFrFNxVytnbm6z5fM67ZOAbVHVRiHbWDPTUWf4zn5EmmMkNeHoa8vDL7XhGbxGNh53jpdEy5k/eXIlLYsuIEP71zkJwMua8WQggh/ktGElZRpiShzo2jQQo9Tp4i5lQKdVv7WDgyIYQQ4t7l5uZG7969WbJkCRMnTiy2LmFaWhoajYYdO3awdOlSU/m+ffvQ6/Wm43Xr1jFv3jz27t2Lfxmjp26HtLQ0Nm7ciLOzc7nqJycnm8Uu7h09GnjzQBMfGvk54+9S/mn51wt2CWZs87GmY51Bx8G4g3Tw72AqU67bIMdoMHD55Rno4uOo8fHHaL1Knl5cYDCiAoJtrcs9NdrOyRonDxt8gpyxddTeuIEQQghxj5EkYRVV0+3qlw5jgSepjgquqf9w+mSyJAmFEEIIC1uyZAkdO3akTZs2vPXWWzRt2pTCwkK2bt3K0qVLefvtt6lbty6BgYGmNg0amE95PHToECqVisaNG9/h6K8aNmyYRc4rqhcbrZrFT7bg+hxcTkEhGpWqwjsfw9UpwnP3z+XnMz8zqcUkRjcZXayO7tIlsv/+G0NODrpLsaUmCcfV9OI+VwcaORQlLw1GI6oyEoZufvYMmtkatVoxJRb1hQYwglorE6yEEEIISRJWUY39ry5qbsjzxai3Jld7kb2xCTxobFjphaSFEEIIcfOCg4M5cuQIc+bMYdq0acTFxeHp6UnLli1ZunQpK1asMJtqXNUYDAZLhyCqEZWq6L5TbzDywvf/kJVfyKdPt8TVvuLr+jlaOaKgUMelTonvW9WsSdBPP5J3KgK7FqFl9tXYsWgN00KDkafCz9HD3YkxNTxLvV+2tjX/+rNn9VkSzqfT+9nGOLlXbrSkEEIIcbeQR2ZVVA1XO4I87DGiojCnNscDjRRmnCE5NsvSoQkhhBD3PF9fXxYvXsyFCxfIz8/n0qVLrFu3jk6dOvH777/fMEk4fPhw0tLS7kywQtwiZxOz2B+VQlhMGjGpORVurygKU1pO4deHfqVrQNdS61nVqoVTn96mY11iIlc++QRjGdPe1yWm8mdqFvOi4onL15UrnpyMAs4ciCfxYiYpl7PLfR1CCCHE3UpGElZhnep4EJWUjT67DicDTtB4/3GiT6TgUaP0XdyEEEIIYTkpKSlMmTKF1q1bWzoUIW65ej6OrB7bgeiUnGK7IFdEHdeiUYQZBRlM3TGVyS0n09ij+PR7o15P7AsTyT16FH1KKj6vvlJin496u5JaqMfXWoufTflGONo5WfH4/1oTczKFwCYelbsYIYQQ4i4iIwmrsE4hV29WjNn1yLdSsM8M49DZZAtHJYQQQojSeHl58eqrr8rSIOKuVc/HkZ4NvU3HsWm5/HAgutL9fXzkY/bH72fG7hkUGgqLva+o1bgOfQaNtzduzzxdaj+KojC6hif9PF1MZWey89iSlF7m+Z3cbWnUuWjzoPwcHTu+jSA3S3Y/FkIIce+RkYRVWPva7qhVCoUF7hh0zsS7pJJ55RIFeU2xspG/OiGEEEIIYTl5Oj2jvzrEqbgM0nN1PN+ldoX7mNxyMqn5qYxqPAqNquT7W+d+/XDs0QOVtbWprDA1FY2ra6n9ZhfqGXU8isicfBbVD2Cwr3u54tn1wxkiDyaQlpDDI9NaVOxihBBCiGpORhJWYU42WprVcAagMDuE8CAF+4xTxJ5Js2xgQgghhBDinmetUfFwcz+8HK3p38yvUn3Ya+2Z32U+DdyLdgA/nXKaHJ35mofXJwjzTp/mXM9eJC9fjtFoLLFfrUqhs6sjPlZaurs7lTueln1q4eZnT8fHSt5YRQghhLibSZKwiusU4gmAPjuEKB/wSgzn/IkkC0clhBBCiLtBly5d+Prrr8nNzbV0KKIaUhSF57vUZtu0Lvi7FO0MnKcrfYORG4nJjGH0ltEM3zScpNyS73kzNm3CkJVF9t59UMpu3VYqFe/UrcH2NvXwtNKayhNvsKmJu78Dg19tg1etosRi4sUMCnKLT4UWQggh7jaSJKziOl9blzCnLgZUqHUn+etSioWjEkIIIcTdIDQ0lOnTp+Pj48OYMWP4+++/LR2SqIYcbYqScGExaXR5fwe7I69Uqq/UvFRUigqVosJB61BiHc+JE/F95x38FsxHUavL7M9NWzSFeV9aFm3+PsnS6MRSRyACKKqiNUWzUvP4v4+P8uM7B0m/Isl0IYQQdzdJElZxzQNccLDWoC+0xZDnS6RfASkZ50lLzLlxYyGEEEKIMixatIjLly+zcuVKEhMTue+++2jYsCHz588nISHB0uGJamjpzrMkZOTz7d8XK9W+qWdTfuj3A4vuX4SNxqbEOoqi4PLoI2ZrEqZ8/Q2ZO3aU2ffGK+nkGYwczyp/si8vW4fGSoWVjRp7l/LtmiyEEEJUV5IkrOK0ahXtgt2Aq+sSHg1ScEs5ScxJGU0ohBBCiJun0Wh49NFHWbduHZcuXeKpp57itddeIyAggAEDBrB9+3ZLhyiqkQ8Hh/JCtzrMH9Ss0n34OfjhY+9jOl57di2v7XmNfH1+ifVzjvxDwrvvcmnsOHKPHS+13zfr+PFxg5q8V69GuXcg96jhyBOvtKHv803QaItGLRYWVH5KtRBCCFFVSZKwGuhU5+qUY0N2CMnOCp7JYZyIkHUJhRBCCHHrHDhwgNdff50FCxbg5eXFzJkz8fDw4MEHH2T69OmWDk9UEzZaNdN61TObgrzqQDSX0yo3VTclL4V39r/D2rNrWXd2XYl1bBs3wnXwEzgPfBSbxo1K7UtRFAb5uGF/3RTlN8/GsjI2qczpxzb2Wpzci9ZcPLU3jlWzD5B0KbMSVySEEEJUXZobVxGWdm3zEkNuEEaDhhzNRSKTrjBIZ0CtlTyvEEIIISonMTGRb775hpUrVxIZGUn//v354Ycf6N27t2mk1fDhw+nTpw/z58+3cLSiOtp8Ip4Zvx7Dw8GKzZPvw93B+saNruNm48ai+xexMWojj9V9rMQ6ipUVPrNmYdTrTf9uDQUF6C7FYh0cVGrf+9OyWBpzde3EUEc7mjvZ3TAeg97Akc0XSU/M5cKxZDxqOFboeoQQQoiqTDJM1UBtT3t8nW0wGNXoc4I4FgjqrEjizqVZOjQhhBDinhQfH88LL7xAcHAw1tbWBAQE0L9/f7Zt22ZWLygoiD/++AOAzZs3065dOxwdHfH09GTgwIFcuHDBAtEXqVGjBsuXL2fYsGFcunSJX375hT59+phNxWzatCmtW7e2YJSiOmvo60QDXyf6N/OrcILwmg5+HXi749uolKtfXQxGA39e+rNYves3MUl45x2iBg4kY+PGUvtt42zPG7X9mFTLu1wJQgCVWsXAF1vS+sEgWvauVcErEUIIIao2GUlYDSiKQqc6Hvx8+BKF2SGcrHmGQfuPc/FEMjXqu1k6PCGEEOKWMBqN5Oru/Dpftlp1udcnA7hw4QIdO3bExcWF999/nyZNmqDT6di8eTPjx48nIiICgPDwcFJTU+nSpQtRUVE8/PDDTJ06le+++4709HSmTJnCo48+ypEjR27Xpd3Qtm3b6Ny5c5l1nJyc2HGDDSGEKE2Amx2rx7bHSl00NiFPp0elKFhpKjdeYenRpXx69FOeqv8UM9vOLPa+oaAAXXQ0xrw8VA4l75AMV++xn6/pZVaWUahnXWIqT/u6l/r/BRsHLW0eLBqhaDQY2fFtBA06+uFb27lS1ySEEEJUBZIkrCY61/Xk58OXILseed6/45wext8X0+ho6cCEEEKIWyRXp6fhrM13/Lwn3+qNnVX5b4nGjRuHoigcOHAAe3t7U3mjRo0YOXKk6XjdunX06dMHrVbL4cOH0ev1zJ49G5XqamJk+vTpPPzww+h0OrRabbHz3Amvv/46v/76Ky4uLmblGRkZsmmJuGWu//kyGo3M/PUYF5Kz+WRIC3ydbctoWTJrtTUKCo09Gpf4vsrKioBly8g5eBD7du2Kzm0woKhKT0wajUamRkTz25V0TmblMbdujXLFc/zPWE7tjePskUSGvdMBazvL/DwLIYQQN0umG1cTHWu7A6DL98ZQ6MBlt3SiMmPJTit5lzchhBBC3HopKSls2rSJ8ePHmyUIr7k+2bZ+/XoefvhhAFq2bIlKpWLlypXo9XrS09P55ptv6NGjh8UShAC7du2ioKCgWHleXh67d++2QETibncpNZdtpxIIv5ROdHJOpfoY3WQ0ax9eS//a/U1lBXrzf8eKWm2WINSnpxP12GNk3iDx3dHVEXu1ikE+ruWOp15bH0Jae9PpsRBJEAohhKjWZCRhNeHuYE0jPydOXM5An12H8KB/qH8lguiTbWnQwdfS4QkhhBA3zVar5uRbvS1y3vI6e/YsRqOR+vXrl1kvNjaW8PBw+vbtC1xdm3DLli08/vjjPPfcc+j1etq3b8/vv/9+U7FXVnh4OHB15NTJkyeJj483vafX69m0aRP+/v4WiU3c3QLc7Pjthc4cjk6hbbB7pfsJdgk2/TmvMI+hG4dyX437GNtsLGpV8Z/p5BVfkH/yFAlz38W+UydUVlbF6iiKwgh/DwZ4ueCqLfqaFJmdR5CtNRpVydOPrWw19BzZ0KwsLTGHtPgcApt6VPYShRBCiDtORhJWI51Crt5kFGaHcM4X/BKOEnkqycJRCSGEELeGoijYWWnu+Ksi6xEajcZy1Vu/fj2dOnUyjSyMj49nzJgxDBs2jIMHD7Jr1y6srKx47LHHyt3nrdS8eXNCQ0NRFIVu3brRvHlz06tly5bMnj2bWbNm3dYY/vzzT/r374+fnx+KorB27Vqz941GI7NmzcLX1xdbW1t69OhBZGSkWZ2UlBSGDBmCk5MTLi4ujBo1iqysLLM64eHhdO7cGRsbGwICAnjvvfeKxfLzzz9Tv359bGxsaNKkicWSt/eKmu52PBJaNJX3SmY+M38NJyNPV6n+tkdv51TKKX46/ROp+akl1vGcMB634cPxX7iwxATh9a5PEMbn63j4n0geDTvLlYLS41MUxfT/En2hga0rTrDhk3CO77pUiSsSQgghLENGElYjnet48tmu85BTDwMKmoJT/JWYyoMGI6pSnmwKIYQQ4tYJCQlBURTT5iSlWb9+PQ899JDpeMmSJTg7O5slqL799lsCAgLYv38/7a6bFnknREVFYTQaCQ4O5sCBA3h6epres7KywsvLC7W6/CMsKyM7O5tmzZoxcuRIHn300WLvv/fee3z00Ud89dVXBAUF8dprr9G7d29OnjyJjY0NAEOGDCEuLo6tW7ei0+kYMWIEzz77LN9//z1wdW3FXr160aNHDz799FOOHTvGyJEjcXFx4dlnnwVg7969PPnkk8ydO5cHH3yQ77//ngEDBnDkyBEaNy55zTtxa03/+Si7zlzhSmY+y4dVfCftB4IfwIABD1sPPGxLHrmnWFnhPeNls7KsPXtQFAX7Dh1K7ftMdh4FBiM5egNOmnL+TBjBt7YLGUl5MpJQCCFEtaIYLfH4uorLyMjA2dmZ9PR0nJycLB2OSZ5OT7M3t5BfaMAu+AN6nYxH7zSDmc/0xy/ExdLhCSGEEOWWl5dHVFQUQUFBpoRPddG3b1+OHTvG6dOni61LmJaWhkajwcPDg4iICAIDAwGYNm0af/31F/v37zfVjYuLw8/Pjz179tChhCRFWZ9RVb1XqSxFUVizZg0DBgwAro4i9PPzY9q0aUyfPh2A9PR0vL29+fLLLxk8eDCnTp2iYcOGHDx4kFatWgGwadMmHnjgAS5duoSfnx9Lly7llVdeIT4+Hqt/R4/NmDGDtWvXmhK9TzzxBNnZ2fz222+meNq1a0fz5s359NNPS4w3Pz+f/PyidaEzMjIICAi4a/4+7rSjMWm8+MtRPhnSgjpejrekz+NJxzmedJwn6j1R4mhhXVwcUQMeQZ+RQcCnS3Ho0qXUvi7m5qM3QrCdNXD132eewYituuxJWblZBdg6FI1aTLyYgWeAI4o83BdCCHGHlffeUaYbVyM2WjVtgtwA0GeHEB6k4JF8glN7L1s4MiGEEOLesWTJEvR6PW3atGH16tVERkZy6tQpPvroI9q3b8+mTZuoW7euKUEI0K9fPw4ePMhbb71FZGQkR44cYcSIEdSqVYvQ0NA7Gv/69evR6XSmP5f1spSoqCji4+Pp0aOHqczZ2Zm2bduyb98+APbt24eLi4spQQjQo0cPVCqVKRm7b98+7rvvPlOCEKB3796cPn2a1NRUU53rz3OtzrXzlGTu3Lk4OzubXgEBATd/0fewZgEubJp0n1mC8NildPIL9ZXqL7Mgk6k7pzJn/xy+j/i+xDpqFxcce/fGpmFD7Nq3L7O/WrbWpgQhwI/xKXQ/eJqwjLI3Xrk+QXglOpPV7x1m/Udh6PIrd11CCCHE7SbTjauZTnU82B2ZhCE7hCsBe/BNCOPgyQfolKOT3dSEEEKIOyA4OJgjR44wZ84cpk2bRlxcHJ6enrRs2ZKlS5eyYsUKs6nGAN26deP777/nvffe47333sPOzs6UULS1tb2j8Q8YMID4+Hi8vLxMI/dKoigKer1lkhnXNlLx9vY2K/f29ja9d+0arqfRaHBzczOrExQUVKyPa++5uroSHx9f5nlKMnPmTKZOnWo6vjaSUFTe9UvnnLuSxZPL/ibQw46Vw9vg6WhdRsviHLQOPN3gaVZHrubh2g+XfD5bW3zfehNDTo5pjUKj0UheeDi2zZqV2rfeaGRJdCLnc/P5MzWT5k525YopLTEHlUrBylaDxkrGaQghhKiaJElYzXQK8YCNYMipjdGoJssqhgj3PE7vT6Dp/TVu3IEQQgghbpqvry+LFy9m8eLFZuWFhYUMHDiQjRs3FmszePBgBg8efKdCLJXBYCjxz6L8rK2tsbauWOJKlF9iRj5WGhV2VhpcK/EQXFEUhjYaypP1n0SrLmp/KP4QLb1bmk0/VtkVJfnSf/2VuFdexfWZZ/B55X8l9q1WFP6vRQhfxCYxvqZXiXVKEtLKG48aDtg4aM02ONEXGrCyka9kQgghqgZ5jFXNNPBxwt3eCr1Biz63JseCwD7zGMf/irXI7ohCCCGEKJKSksKUKVNo3brimy9UFWlpaZYOAR8fHwASEhLMyhMSEkzv+fj4kJiYaPZ+YWEhKSkpZnVK6uP6c5RW59r74s5rX9ud3yd25uMnQ9H8u+6f0WgkT1exka3XJwh3xexixOYRTNwxkUJDYYn1dbFXl/DRXLeRT0lctBqmBvqg/jfZZzAaGXEsiu/jksu8H3f1sTebgnzg/87z4+wDxJ9PL/c1CSGEELeTJAmrGZVKoWOdq7uk6bPqcKKmwn2Hd3KoMJ+EqAwLRyeEEELc27y8vHj11VdL3CihKpo3bx4//vij6XjQoEG4ubnh7+/P0aNHLRZXUFAQPj4+bNu2zVSWkZHB/v37af/v+nHt27cnLS2Nw4cPm+ps374dg8FA27ZtTXX+/PNP0xqMAFu3bqVevXq4urqa6lx/nmt12t9gnTpxe/k42+DtVLRhz4q/ohiwZA/nrmRVqr+UvBS0Ki01HGqgUZU8cs9z4gsErvoB99GjTGWGnJwbPohfn5jGxqR0Xjlzibh8XZl1r9EV6Dl7OJGMpDxyMgrKfyFCCCHEbSRJwmqoU8jVJCG59cm1UVDpzxHvlMSJv2QDEyGEEEKU36effmpaS2/r1q388ccfbNq0ib59+/Liiy/e1nNnZWURFhZGWFgYcHWzkrCwMKKjo1EUhcmTJzN79mzWr1/PsWPHGDp0KH5+fqZ1FBs0aECfPn0YM2YMBw4cYM+ePUyYMIHBgwfj5+cHwFNPPYWVlRWjRo3ixIkT/Pjjj3z44Ydm6wlOmjSJTZs2sWDBAiIiInjjjTc4dOgQEyZMuK3XL8ovT6dnxV9RRMRnsvdccqX6eCTkEX588EemtJxS1G9hHgaj+ZR72+bNUVT/jl40GIgZP57YiZMo/Hejm5L093Lhtdp+vBXij5+NVan1rqe1UvP4K224/+n6BDcvGrmo18kSAEIIISxHFsCohjr/myTU5fhhpbdlR9NsGpz9i7A4dzrlhmBtK3+tQgghqgdZKqN0d+KziY+PNyUJf/vtNx5//HF69epFYGCgaTTe7XLo0CHuv/9+0/G1xN2wYcP48ssveemll8jOzubZZ58lLS2NTp06sWnTJmxsikaXfffdd0yYMIHu3bujUqkYOHAgH330kel9Z2dntmzZwvjx42nZsiUeHh7MmjWLZ5991lSnQ4cOfP/997z66qv873//IyQkhLVr19K4cePbev2i/Gy0ataN78hPh2J4um3NSvcT4hpi+rPRaOT1va+TlJvEnE5z8LEvPr0878QJcg4eQtFq0aemofl39Ol/qRWl2PqE53Ly+CzmCq/V9sNRoy6xnbWthoad/EzHunw9P889SO2WXrTqG4haI+M5hBBC3FmSTaqGfJ1tqe1pz7kr2RRmB/N3vePMX/EnXw58mDP742nSVTYwEUIIUbVptVfXCsvJybnju/tWFzk5OUDRZ3U7uLq6EhMTQ0BAAJs2bWL27NnA1QTK7d7ZuGvXrmUmQhVF4a233uKtt94qtY6bmxvff/99medp2rQpu3fvLrPOoEGDGDRoUNkBC4vycrJhQreiJJ9Ob2D6z0cZ3SmYJjWcK9xfTGYMO2J2UKAvICEnocQkoW2TJgT+uApddDTWwUW7ZBuNxjKXFDAajUw6Fc2hjBxyDQY+blCrXDGdPZxAanwOEXvjaN6jpiQJhRBC3HGSJKymOod4cu5KNva6lhQ4neBYYA7a3BMc321L4y7+1WYtJCGEEPcmtVqNi4uLaeMJOzs7+d31L6PRSE5ODomJibi4uKBWlzwK6VZ49NFHeeqppwgJCSE5OZm+ffsC8M8//1CnTp3bdl4hbtbnf55nXdhl9pxN4q+Xu2GjrdjPSU2nmvz04E/8k/gPzTybmcr/mwC0bdQI20aNTMf5UVHEzZiJz1tvYVOvbol9K4rCq7X9eC0ylhlBvuWOqUEHPzRWamwctGYzg26UlBRCCCFuFUkSVlOdQzz4cu8FDDn1wB22N1MxcP8u/mncmG4XMvEOcrJ0iEIIIUSZru0e+98dasVVLi4ut32H3YULFxIYGEhMTAzvvfceDg4OAMTFxTFu3Ljbem4hbsZTbWpy7FI6/Zv5VThBeE2gcyCBzoGm46TcJCbvmMyLrV80SxxeL/HdeeQePUrigvnU/PzzUvtu5+LAllZ1zZJ7X8cmEWxnTSdXx1LbhbTyNjuOOZXCgf87z/3PNMDN176cVyaEEEJUjiQJq6m2we5oVAqpWWqcdF6c903EI+UYF9wzOPFXrCQJhRBCVHmKouDr64uXl5fZ7rPi6hTj2zmC8PrzTJ8+vVj5lClTSqgtRNXham/F0qdbmCXhjsemE52SwwNNyj9673ofHfmIo1eOMufvOfz44I8ljt7znTObhHfn4TVtagk9mLu+/amsXF6JjEVnNPJ7yxBaON044Wc0GtnzSyTJsdmc2B1L58dLHrkohBBC3CqSJKymHKw1tA12Y8/ZZPx5mEssY0dThdoX93E0xpFOj4VgJRuYCCGEqAbUavUdSYiJkkVGRrJjxw4SExMxGMx3Vp01a5aFohLixq5PwuUW6Jm46h/OX8nm7QGNeaZd+dYBvN701tMxGA0MbzS81Om9Gg8P/Oe/b1aW8vXXqOwdcH70kVLbBdhY8ZSvGwkFOkId7coVj6Io9BvfjIMbomj7ULCpXKYfCyGEuF0ki1SNDWoZwJ6zySQl1sHop7C7kcLb3+7k24f7cOZgAo3v87d0iEIIIYSowpYtW8bYsWPx8PDAx8fHLPGgKIokCUW1oVEr9G3sw69HYulXyZGETlZOzO4026zs/879H7mFuQyqO6jExFz++fMkvD8fdDo0Pt44dOxYYt8OGjXz6gVQaChK8OUbDHx0MYHnA7xK3QHZ0c2Gbs80MCvb/k0Edo5WtO4XiMZKHrAIIYS4dSRJWI31aeyD4zoNVzIK8fduSYbtIS56pqI3RHJ8tzWNOvvJU0YhhBBClGr27NnMmTOHl19+2dKhCHFTtGoVL/auz7iudbC3LvqKsyMikQ513LEuJQlXlsScRObsn0O2LhsHrQMPBD9QrI5VrVp4TZpI7okT2HfocMM+Naqie/NFFxJYeDGBbcmZbGwZUq779ivRmUTsjUNRIDjUE+9AWWJICCHEraOydACi8my0ah5u7geAU34fALY3U+gUtoujOXlcic60ZHhCCCGEqOJSU1MZNGiQpcMQ4pa5PkF4ICqFkV8d5OHFe8gpKKxwXx62HoxvPp62vm3pHdi7xDqKWo376NH4f/CBKclnLCgg4d15FCYlldl/Z1dHatlYMa6mV7kf7HvWdKTv801o+3CwWYLQaDSW86qEEEKI0kmSsJp7vFUAAOdiHTHqbTkWpCLkwmHOeOdzYvdlC0cnhBBCiKps0KBBbNmyxdJhCHFbZBcU4mpnRdMazthZVXwClUpR8UzDZ1jWcxlq1dWRiAajgcX/LOZKzhWzutcn+a4sXUrKl19ycdhwjP9Z5/N6HVwd2NWmPv09nU1lB9Ky+OZyEoYykn7BzT1p2SfQdJyTUcCPcw5yPuxKqW2EEEKI8pDpxtVcE39n6vs4EhGfSRAPc5lV/NXYSMDl/YRftKLjY3WwspG/ZiGEEEIUV6dOHV577TX+/vtvmjRpglarNXt/4sSJFopMiJt3fz0vtky5D2tN0biIrPxC4tJyCfF2LHc/1ycAV0Ws4rPwz1h3bh0bHtmAldqqWH2n3r3J2r4Dj3HjUFRlj8mwURe9n28wMO10DJE5+aTr9Eyo5V2u+I5suUjypSwO/BZFYFMPVCpZbkgIIUTlSPaomlMUhcdbBfDWbyfJTWkOnqvY0UThpTXb+aVvVyIPJtCos2xgIoQQQojiPv/8cxwcHNi1axe7du0ye09RFEkSimrPw8Ha7Pid30/xy6FLvD2gEU+0rlnh/lr7tKaBWwMeCXmkxAQhgE39+gSt/gVFU/RVK+fIEfLPncPlscdK3zlZUXjGz52VsUk87ede7pjaPhSMWqMiuJmnKUFoNBoxGoyo1DJxTAghRPlJkvAuMCDUn7kbTxGdZMTLtTbJzudIt4knUxPNid3WkiQUQgghRImioqIsHYIQd4xObyA+PY8CvYEAN7tK9RHiGsJ3/b5DrRRthHIu7RzhV8IZUGeAKQF4fYLQkJ9P3KuvUXD+PIaMDNxHjSqxb7Wi8GyAFyP8PdFeNxrwwwsJtHGxp72LQ4nttFZq2g+obVYWsS+e8B0xdH2qPt5BsrmJEEKI8qkyj5beffddFEVh8uTJpdY5ceIEAwcOJDAwEEVRWLRoUYn1YmNjefrpp3F3d8fW1pYmTZpw6NCh2xN4FeBmb0Wvhj4AeBkGAFc3MGl/7E/CM3NIvJhhweiEEEIIUdUVFBRw+vRpCgsrvrmDENWFVq1ixbBWrB7bgQ61PUzlZxMzKSgsfe3AYv2otKiUq1+jDEYDr+99nVl7Z/HJ0U9KrK9oNLgMGoQ2IACXxx4rR/9FCcK/07KYGxXHo/+cJSonv1zxGQ1Gjmy+SFJMFrFnUsvVRgghhIAqkiQ8ePAgn332GU2bNi2zXk5ODsHBwbz77rv4+PiUWCc1NZWOHTui1WrZuHEjJ0+eZMGCBbi6ut6O0KuMQa1qAHAx1hujQc3BugotT+7jpL+B47tiLRydEEIIIaqinJwcRo0ahZ2dHY0aNSI6OhqAF154gXfffdfC0Qlx6ymKQstaRd8L0nN1PLVsP/0//ouYlJwK92c0GulRswfuNu4MDBlY8jnVatxHDKf27xtQOxdtUpK8YgW5x0+U2X89exuG+rnzlK8bQXbWZdY1nU+l8Oj0FrTsU4tmPQJM5XnZOtkFWQghRJksniTMyspiyJAhLFu27IaJvNatW/P+++8zePBgrK1L/iU5b948AgICWLlyJW3atCEoKIhevXpRu3btEusD5Ofnk5GRYfaqbjqHeOLrbENmngFveqJXKxysq8PzymGOHYwnIznX0iEKIYQQooqZOXMmR48eZefOndjY2JjKe/TowY8//mjByIS4M85dyaLQYESnN+DpWL4k3PXUKjXDGw9n08BN+NgXDWJYE7mGiJQIs7rKdRsD5Rw6ROL787nwxBMUXLpUav+uWg3v1Qtgfr2iZF+arpDBYec4nJ5dajtbRyvaDaiN+t81CY1GI5s+P8aa+UdIjS+9nRBCiHubxZOE48ePp1+/fvTo0eOW9Ld+/XpatWrFoEGD8PLyIjQ0lGXLlpXZZu7cuTg7O5teAQEBZdavitQqhcdaXh1NqMrsBMD2pip67d/B8RpajmyOtmR4QgghhKiC1q5dy+LFi+nUqZPZZgqNGjXi3LlzFoxMiDujRU1X/pjahaVPt8RGW7TO4LFL6RXqx0ZTlGQ/m3qWt/5+i8G/DeZM6pkS61sFBeHUrx8ujz6CVY0aN+z/+p/PhRcS2JmaydTTMRjKOTIwLSGHhKgMEqMzUWss/hVQCCFEFWXR3xCrVq3iyJEjzJ0795b1ef78eZYuXUpISAibN29m7NixTJw4ka+++qrUNjNnziQ9Pd30iomJuWXx3EmDWl5Nbp6N06Ap9CTGS8Eq/zxxjomc3HOZzJQ8C0cohBBCiKrkypUreHl5FSvPzs4udQdWIe42bvZW1PNxNB1vPBZH/8V/Mf3no5Wanuti40K3gG509u9MiEtIiXU07u74L5iPz+uvm8r06enETptOwcWLZfb/Qi1vBvu4MSfEH5VStJtxoaH0WF197BnyZjt6jmyIk4etqTzxYgaGMtoJIYS4t1gsSRgTE8OkSZP47rvvzKa33CyDwUCLFi145513CA0N5dlnn2XMmDF8+umnpbaxtrbGycnJ7FUd1XS3o32wO0Yj+CtXF0Xe3kxFh6O7OOWj4cjmsm84hBBCCHFvadWqFRs2bDAdX0sMLl++nPbt21sqLCEs6tyVLFQK+DrbVCpZ7mHrwYKuC5jfdb6pfb4+n7f3vc2lTPOpxdfvgnzlo4/J2LCBS1OmlJmc9LDSsKhBTTq5FiU21yam0fPQafakZpbazsHVhtqhRQ8F0q/ksPr9w/zy7iHysnUVvk4hhBB3H82Nq9wehw8fJjExkRYtWpjK9Ho9f/75J4sXLyY/Px+1Wl1GDyXz9fWlYcOGZmUNGjRg9erVNx1zdfB46xrsO59MQnwQRj+FPQ0VPvp0Oy91eIgGey7Tsk8gDq4VX29FCCGEEHefd955h759+3Ly5EkKCwv58MMPOXnyJHv37mXXrl2WDk8Ii5jQLYQudb0I8XYwlcWm5ZKclU/TGi7l7sdaXXTP/cXxL/jpzE/8Hfc36wesR60q/j3H7ZmnKbh4EfcxYyqUnDQajSyOTuBUdh4H07PpeF3ysCypcTlotGps7DVY21nsa6EQQogqxGIjCbt3786xY8cICwszvVq1asWQIUMICwurVIIQoGPHjpw+fdqs7MyZM9SqVetWhF3l9W3si6ONhisZBtyMbcm1Vvintp6uhzdz2kvDkS0ymlAIIYQQV3Xq1ImwsDAKCwtp0qQJW7ZswcvLi3379tGyZUtLhyeExTSp4Wy2RuGb60/w8JI9fLX3QqX661WrF628W/FC6AslJggBrAIDqbl8GfZt25jKMjZuJGbChDI3N1EUhZ+b12FyLW+eCygaKRifryOzUF9qu8CmHgx5sx1dn65vSkoW6vQc2XyRgrzCil6iEEKIu4DFHhk5OjrSuHFjszJ7e3vc3d1N5UOHDsXf39+0ZmFBQQEnT540/Tk2NpawsDAcHByoU6cOAFOmTKFDhw688847PP744xw4cIDPP/+czz///A5eneXYaNU81MyP7/ZH45jXi1S7v9nYSsWs77cwZXpf6u++TMvetbB3kdGEQgghhIDatWvfcJM3Ie5lBYUG7KzUqBWF9rXdK9VHbZfafNH7C7OyA3EH+OnMT7zY6kW87b2LtTEWFpL4/nx0ly9j27gxHs8/X2r/bloNM4J9zcqmRcQQnpXD4ga16OJW8uhCOycrs+PwHZfYt+YcZw8nMmhmK1mbVAgh7jFVemur6Oho4uLiTMeXL18mNDSU0NBQ4uLimD9/PqGhoYwePdpUp3Xr1qxZs4YffviBxo0b8/bbb7No0SKGDBliiUuwiCdaX93AJPKSPVaKC1E+Cmf8C+j4zx+c8VDzzxbZ6VgIIYS4V2VkZJT7JYQAK42KRYND2TG9K3W9i5Jtvx+L41Rc+X9OFEUxJd2MRiPvHnyXzRc28/XJr0uur9FQ49OlOD3UH7fhw03l+vR0jAZDmedK0RUSlZtPmk5PDRttuWN087HHydOWJl1rSIJQCCHuQYqxMlt23eUyMjJwdnYmPT29Wm5iYjQa6fvhbiLiM7mveRz/5H9IvUtGXvzFmmlTFzLkgIGhs9tj7yyjCYUQQojq6GbuVVQqVbm//Ov1pU9VFEWq+72jqLj49Dy6L9hJrk7P6rEdCK3pWuE+IlIi+Pifj3mn0zs4WzsDkFuYi4267A1Top97Dn1yCr5zZmNTr16p9QoMhmJrFK6OT6GBgy0NHWxLbacvNKBSKSiqqzHEnk7lnz+i6fBoHdx87St6mUIIIaqA8t6ryAq1dyFFUXi8VQBv/XaSxITaWLlZcbpGATGeubQ5vp2zbt34Z2s0nR4LsXSoQgghhLjDduzYYfrzhQsXmDFjBsOHDzftZrxv3z6++uor03IvQojiVAp0qedJbFoezSqwmcn16rvVZ0n3JWZlc/6ew8WMi7za7lXquRVPAOouXyb38BEM+fkoVlbF3r+elUplliCMz9cx/fQl8gwGNrasS3MnuxLbqTXmk832rT1HQlQGTh623PdE3fJenhBCiGpIkoR3qQGh/szdeIqIuBweqfcUfyR8ya8dFF747XemT+5ByK5YWvSqVWwdEiGEEELc3bp06WL681tvvcUHH3zAk08+aSp76KGHaNKkCZ9//jnDhg2zRIhCVHleTjZ8MqQlOQWFqP4dcac3GBn/3REebeFPz4beFZ6um5KXwtaLW8kpzCFfn19iHa2fH7U3bSTn0GGsg4JM5Vl79mDbtClqx9J3NjYYjfT0cCIuT0czx6KRhEajscxYewxvyP7/O0+rvoGmstzMAlDA1kG+SwghxN2kSq9JKCrPzd6KXg19AFAyO6FRNBwLUnHFKZPQiD8556IibKusTSiEEELcy/bt20erVq2Klbdq1YoDBw5YICIhqhc7q6IxF6uPXGLTiXim/3yUjErsDuxm48b6AeuZ1X4WTT2bmspPJJ8gR5djOtZ4eODUp7fpWJeQyKXxEzjXsxcFl2JL7d/PxorPGwXyc/PaRbsZG4z0PxLJJ9GJ5JeyzqGLtx29Rzc2G1zw97rzfPPqPk7vj6/wdQohhKi6JEl4FxvStiYAG46m0M1/AAC/dlDxxNb/Y19dNcd2Xbr6FFAIIYQQ96SAgIASdzZevnw5AQEBFohIiOrrgSa+jL+/Ni/2roezbdFmIZl5unL34W3vzaC6g0zHGQUZjN06ln5r+nE+/XyJbQqvXEHr54dVUBBaf78bnsNGXfQVcF1iKocyclgSnUihoXxL1ev1BpJiMtHl6XHyKH1tQyGEENWPTDe+i7Wv7U6zABeOxqRhldkbhdUcDlExeFcaDc/t5bxTW8L+iKH9I7UtHaoQQgghLGDhwoUMHDiQjRs30rZtWwAOHDhAZGQkq1evtnB0QlQvDtYaXuxd36zseGw6T3y2j1GdgpjSs26FpyBfyryEndYOK7UVNR1rlljHtnEjgtevozAlpWj3ZJ2O2GnTcRn0GPadOpV63gHerhT8u4+lvUZtKt+ZkkEnF0c0quLt1GoVj73cisuRafjWdjaVnzkQT6HOQL12PqjVMhZFCCGqI/m/911MURQm3F8HgP/7J537/fsBsKaDiie3rGdvPS3Hdl4iL6v8TzeFEEIIcfd44IEHiIyM5KGHHiIlJYWUlBT69+/PmTNneOCBBywdnhDV3q9HYsku0HMxJafCCUKAhu4N+b8B/8fibovRqK6O7zAajbyx9w32Xd5nqqdoNGi9vEzHab+uIXPLFi6/PANjbm6p/asVhSd93XnS191UdiQjm8FHz3P/wQjy9CVPQVZUCv71inZ01uXr+euXs+z4JoLIgwkVvk4hhBBVg4wkvMt1r+9FfR9HIuIzccp9CPiNfQ1UPL47idrR+4lyCCVsWzTtHpbRhEIIIcS9qEaNGsyZM8fSYQhxV3rtwQa0CXKloW/RiLv0HB1bTyXwSKg/6hJG6v2XVq2lplPRKMJt0dtYHbma36N+Z+tjW3G2di7WxrFXTwqiorAKDERlV7SLccHFi1jVqlXm+eLzdbhp1TR3sjObmlwWRQUtetUk8lAiIa28TeXZafnYOGplZKEQQlQT8n/ru5xKpTDeNJowk06+3TEqsLa9iiGb1vFXfWvCd1wiJ0PWJhRCCCGEEOJWUhSFPo19qelelKhbuusc038+ygs/HKlUn6FeoQxpMISRjUeaJQgTsotG8GlcXfGe8TKug58wleWGhXGudx8uTZ6CsZRNSgAe8HThYLuGzKpdtL5hckEh/Q9HsjYhFYOx+NqFGq2a5j1q8tjLLVFrrn7FNBqNbF5+nO/f2E/8+fRKXasQQog7S5KE94AHmvgS7GFPWo4On8KrCyH/2ViFVUE8AXGHuWgLB/6v5IWQhRBCCCGEELeOr7MNzrZaHg2tYSozGIwYS0i+lcTd1p0ZbWbwfLPnTWUX0i/QZ3Ufpu6cis5Q8lJCOYePgKKgsrNDUZX9NdBeo8bTqmjzlc9iEjmYkc3SmETKGvt4/ZTq7LQC0hJyyE7Nx9HNplzXJoQQwrIkSXgPUKsUnu96dTrx/x3JpbVXBwwqWN9OxdMb1/JXQ2tO/nWZpEtZFo5UCCGEEEKIu9uwDoH89fL9dG9QtIbg/4Vf5pFP9vJXZFKl+twXtw+9UY9Or0Or0pZYx33USIL/bz2eL0wwlRUmJxP74kvknz1bZv/janrxYqAPLwX5mhKBhQYj319OJreUdQsdXK15ZnYHHpzQFHsXa1P5/vXnCfsjmoK8wopephBCiNtMkoT3iEdC/fF3sSUpK58g1VMA7GiqwjnzEp5Jx4h207Dnl8hyP8EUQgghhBBCVI6jjdZs1N2y3ecJi0kjLCa1Uv09Wf9JVj+0mimtppjKcnQ5vPrXq5xJPWMqs65TB62vr+k4efkKMv7v/7j8yitl9u+i1TAtyIfu7k6msrWJqUw9HUPfw2dK/Q6htVZTo76b6TgrNZ8jmy+y55ezJMdmV/g6hRBC3F6SJLxHaNUqnusSDMDGfwpp5tECnQZ+a6Pimd/XsDXUlpiIVC6EV+7ppRBCCCGqn27dupGWllasPCMjg27dut35gIS4R60c3oaxXWszrEOgqexMQibbIxLK/RA/xDWEYOdg0/Gq06tYd24d03ZOw2AsebSf84CHcezZE8/x401lxoICsg8cuOF5rVQqathoecTL1SzhmaIrfYSgrYOWLk/Wo357H3xrF62neOl0KpkpeTe8RiGEELeXJAnvIY+3CsDDwZrLaXk00A4FYGsLFT5JUdSNOsSxWlbs+eUs+sLSFzIWQgghxN1j586dFBQU37wsLy+P3bt3WyAiIe5Nno7WvNynPo42RVOFF2w5zcgvDzF/y+lK9Xmf/330DuzNs02fRaUUbSZyKP6QKQFoU68eNT7+CIf77jO1S9/wO9FDh3HphRfK7P8hLxf2tW3IswGeprKjmTk033OCl07HlJhkVGtVNOzkR/dhDU1lep2BP744wbev7uNyZOVGUgohhLg1JEl4D7HRqhnTOQiArUdV1HdtSL4Wfm+tYszaH/irkYYrKbkc23nJwpEKIYQQ4nYKDw8nPDwcgJMnT5qOw8PD+eeff1ixYgX+/v4WjlKIe5fRaCTQwx57KzWPhBb9LGblF5Kn05erjzqudZjfZT79a/c3le2O3c2IzSMYuXlkqSMFC5OuoFhZYde8uXlM+uLn1aoUbNVFXym3JKVTYDSSozeYjS4sS25WAS7edtg6WeEdWDS6MCejAKNBlkISQog7SWPpAMSdNaRdLZbuOseF5Bx62Y8kInU6m1qr6XfwCj33bWFf/R44bLhAvbY+2DpaWTpcIYQQQtwGzZs3R1EUFEUpcVqxra0tH3/8sQUiE0LA1V2CZ/ZtwMRuIdhbF31l+3TnOVYdjOGVfvV55LrdkcsrLisOW40tjT0amyXxCg2FaFRXz+MxZgwujzyCYmNrej/36FEuTZ6C+4jhuA0dWmr/Lwb50s3NCRet2lR2pUDHsGNRjPD3YKC3K6r/JA8dXG0YMLUFuZkFqLVFCcdNnx0jJ7OAHiMa4hPkjBBCiNtPRhLeYxysNYzocHU04Z/HbKnrUo8cKyOrO6oYsnEtp2oUkISeA/8XZeFIhRBCCHG7REVFce7cOYxGIwcOHCAqKsr0io2NJSMjg5EjR1o6TCHuedcnCI1GI9siEknKysf2uiRcRTxR/wm2DNzCqMajTGUXMy7S85eeLD261DS6UOPhgdrB3lQn9YdVFMbFkXf6xlOfWzrbU9vOxnT8dWwyRzJyWH7pCmWNLbx+gEJ2ej7Jl7PJTM7D0a2oL9lkUQghbi8ZSXgPGt4hkGW7zxMRn8n0Vi9wJm0Cm1uq6HUklyEbV7Ot/dM4746lcRd/3P0dLB2uEEIIIW6xWrVqAWAwyDrEQlQXiqKwfkJHtpxIoGdDH1P5+qOX2RGRyKhOQTT2v/GIOxcbF7Pj1ZGrScpN4mTSyVKnCPu8+QZ2bdpg27SJqUyXmEj8a7Nwffpp7Dt1LLXtyBoeaFUK9e1tTHV0BiMzz1xioI8r7Zzti7W1d7Zm2NwOxJ9Px97Z2lS+6/vT5GXpaP1gkHxPEUKI20CShPcgZzstT7erxae7zvHHUQ2d693H7tg/+fZ+FdPWbGdN197Eujry18+RPDSpebnXExFCCCFE9RMZGcmOHTtITEwsljScNWuWhaISQpREq1bRr6mv6dhoNPLJjrNExGdS19uxXEnC/3oh9AUauDXA36Fo7cNsXTZTdkzhkZBH6FWrF2pra1wefcSsXdqqVWTt2oU+MxOHzp1K7d9Vq2FiLW+zso1J6Xwbl8zm5HQOt2+IVQnfN6xsNNRs6G46zs/REbEvHn2hgeY9a1b4OoUQQtyYJAnvUaM6BbFyTxRhMWk83fF59l7ew6G6EFFDz/O/fscnT0zDd1sqF48lE9jUw9LhCiGEEOI2WLZsGWPHjsXDwwMfHx+zB4OKokiSUIgqTlEU3nusKV/vu8jg1gGm8rCYNHZEJDKkbU28nGzK6AG0Ki19g/qala09u5Z9cfuIz4mnT2CfEts5DxiAITsbu7ZtTWWGggKufLAQ50cewaZe3VLP2cDehmf83KlpY4WVqmgFrM9iErnP1ZEGDrbF2ljbaRk0sxVRR6/gHeRUdK1/RJMcm0XzHjVldKEQQtykciUJ3dzcKtSpoigcOXLENJVFVD2ejtY82aYmX+69wC8Hsnis6WP8ePpHvu6hZu4XYfzS7SQnA4JxXX2WgIZuqDWyfKUQQghxt5k9ezZz5szh5ZdftnQoQohKalrDhfmDXMzKlu8+z2/hcSRk5PHuwKYV7rN3YG8y8jOo4VjD9PDAYDTw7oF36V6zO619WmNVsybeM2eatcvcvIWUL78kY9Mm6mz7A0Vd8tqJIfY2vF8vwKzseGYOr5+9jFZRONaxES7a4l9V3f0dzBKBBoORo9tjyErJx7+eqyQJhRDiJpUrSZiWlsaiRYtwdr7x8HWj0ci4cePQ6/U3HZy4vZ69L5jv9l/k7/MpPNPhKTZoNxDlncWfTRTGrv6Wlya/Q91NGRzfFUuz7gE37lAIIYQQ1UpqaiqDBg2ydBhCiFvsgSa+xKXnMbR9oKksNi2XrSfieSS0Bs522jLbe9h6MLb5WLOy/XH7+SHiB/7v3P+x/fHt2GqKj/azCqyFY+/e2DRsaJYgTF7xBQ733491cFCp51QpCg94OGOtUswShN9dTqa+vQ0tnOyKLYOkKNB7dGNO7YujTgsvU/m5I4lEHU2icRd/fIJlZ2QhhCgvxViOLaJUKhXx8fF4eXndqCoAjo6OHD16lODg4JsO0BIyMjJwdnYmPT0dJyenGzeoxt7+7SQr/oqinrcjj3c/x6J/PsAtS2HRpzo+fnwMuU7t6H6xkCFvtcPWwerGHQohhBDitrtV9yqjRo2idevWPP/887cwunvPvXTvKKqvD7ae4aNtkdxX15OvR7apcPsL6Rf45uQ3OFg5MKXlFFP55+Gf09ijMe1826FSis8+yj12nAuDBqFYW1N37x5U9vbF6lzPaDSakoFpukKa7T1BvsHIH63q0tjRrlyxrlv0D5ciUmnVL5C2/avnd1IhhLiVynuvUq6RhBXd+S4zM7NC9YXlTOwWwuojlzidkIk2+z78HX4kllh+a6Mw6v9+YtRr7WgWpWffmnN0e6aBpcMVQgghxC1Up04dXnvtNf7++2+aNGmCVms+umjixIkWikwIcasFe9hT38eRgS2KNijJ0+n59u+LDAj1x8PBuozWEOgcyGvtXzMru5R5iY//n737Do+qWAM4/DvbSza990oNJfSOCAqCImAXARE7Ciqi1y427P2qCCqiIig2RAURpPfeQoCEENLrJtnsZuu5fyxuyKUIioYy7/NwQ2bnzPmSXOKcb2fm2/oOAL+M+IVYU+wx10kqJX79+qHw82uUIKz87HO0zZph6NwJ6ahzCY9eLWh1exgaHshBq53WR51TOK+4EpUkcWloAAblsYnJrkOT8Q8romX3hiIvpYdqWPtdNul9YkjpcGqLXwRBEC40p7SSEGDBggUMHjwYheL8P5vuQns3+JPVB5ny4x5C/TQ8dq2LJ9c+hNYl8db7Tn7qNYwtbYZxxcY6hj2QQUyzoKYOVxAEQRAueGdqrpKUdOKtf5IkkZOT85fHvpBcaHNH4dwlyzKyDAqFNxH3/dYC7pu7jZQwI0smXXTa4xXXFfPxro8pt5Xz+kWv+9o/3f0pRrWRgYkDMWlM3nu73b4tyK6qKvb36QtOJ8k/zkeblnbS+3hkGYXvbESZzmv3UGB3Mq11AleGn9rzyfLZWexaUUCzrhFcMra1r132yEiKY6srC4IgnE/O6EpCgGHDhhEREcHNN9/M2LFjSU1NPSOBCk3vpm4JfLb2EDnldezPSaFdWDu2l21nTh8F4xb/xIJeAygKUrHsiyyue7wzKvXxDyAWBEEQBOHccvDgwaYOQRCEf5EkSRx9rF+AXk272AD6Nm9YWSfLMq/9uo++zcPolBB0zDmAR4s0RvJo10cbtdnddqZtn0ats5Z4Uzxdorxbm48+o1B2OAgcNgzH4cONEoRVX30FHg+mgQNRBTUk/xRHxWD3yFwbGcyvFdVcGtJw3uBPZWY2VddxQ1QIzYzHVnTOuDQevUlNTPOGca01DuY8t4GU9mH0vi4NxXFWJQqCIFxITvm34MGDB7njjjuYM2cOzZs3p2/fvnz22WfYbLZ/Mj7hX6BWKnhksHcr8YxVBxnT3HvGyPK2CoqCnIybP4eFXfyoLLWyeeGhpgxVEARBEIR/gMPhICsrC5fL1dShCILwL+rXIpwf7unFhIsbFoDsyK/m3d8PMOqj9Vjsp/87we1xc3vb2+kZ3ZNOkZ187d/s+4YX1r9AVmUW6ogIop59hvhPPva9LrvdlL/7X4qfnoJt69YTjq9XKng4OYolnVugPyqpN7OgnPcPl7GwvLphTFnmj41z/qF6ulyR3GhnVM62Mmw1DkoP1TRKEFqq7JzihjtBEITzyiknCePi4njyySfJzs7mt99+IzExkbvuuouoqCjuvPNONm7c+E/GKfzDBrQMp3tyCA6Xhx83KLgs8TJkCWb1V3LJhlX4mQ+yKVXLloWHqCysa+pwBUEQBEE4A6xWK+PGjcNgMNC6dWvy8vIAuPfee3nxxRebODpBEP4tqqMSZEatkqs7xjI8IwaTruGc0mcX7OGD5dlUWOwnHcugNnBz+s18cMkHjQqZzN47my/3fsmu8l2+No/swSN7z7+XnU6Cx4zB0Lkzxl69fH3M33zD4XvuwbJ69UnvOy4mjCFhAVwRFuhrW1ddR4/1mbxzqOS417TqGcUVE9rR9cqG4iYet4e5z2/g8yfWUl1mPek9BUEQzjd/aT11v379+PTTTykqKuKVV15h586ddOvWjXbt2p3p+IR/iSRJPDakJZIE87cX0j/iVjQKDbsSJTanStw/+2NWtNFRpZVY9sVeZI94Z00QBEEQznWPPPII27dvZ9myZeh0DdvzBgwYwNy5c5swMkEQmkpquIlXr2nH1BFtfW1mq4NP1+Ty4i97qbY5fe0u96kVuJRlmYkdJjI0ZSj94/v72n8//DsDvxnIRzs/QqHTETLuFhI+m4VCo/H1qf7+Byy/LcG+N6thPJcL9/8VyxwUFsBH6UkkGRoKsPxUZuagzcF+a32jvpkWm/ecQ6WC+FYhxLcK8b1WVWzFZXdjt7kwBTf8XszfW0lBVhUe8RwkCMJ57G8dumAymejfvz/9+vUjMDCQPXv2nKm4hCaQHhPA1R28FcmmLS3jppajAPh8gIrkgoMMXrGIhZ2NFGZXs3tVYVOGKgiCIAjCGfD999/z7rvv0qtXr0bnjrVu3Zrs7OwmjEwQhLOJSqng6aGtub5zHMlhfr7253/OZPBbK/ltz/FX6v1BkiT6xPbh+V7PE6gL9LUvzVtKcV0xZrvZ1ybLMhuLN+L0eJOREY8/Rsgdd+A/+DJfH+uGDezr0ZOChx466X0fSYrig1YJ3BIT5msrtjvptzGLDmv2UOd2H3NNSIwft7zam6ET2jfagrx+fg7fv7GVPeI5SBCE89hfShLabDZmzZrFRRddRFpaGnPmzOGBBx4gNzf3DIcn/NseHNgcvVrJljwzcYqhBOuCKQySWdRRYtyPX2HWVJMZq2bttweoM598q4EgCIIgCGe3srIywsPDj2mvq6s7abECQRAuLH5aFTd1S+DFqxpWF8qyzOI9JewpquHotXUVFjubcitxn8KKu6d6PMWb/d5kRNoIX9sB8wFuWXQLl867FJfHha55c8Lvvw91VJSvj3XzFnA6kY5acQhg/vY77AcP+s4TNKqUDIsIor2/wdcnq64eP6WCaJ0a41HFVGbkl/FlUQVVThdqrZLwhIbqnx6PTFCUEZ2fmqS2ob723J3l/PjOdvZvPHmSVBAE4VxxWknCdevWcfvtt/vOIYyNjeW3337jwIEDPPbYY8TExPxTcQr/kgh/HXf2TQHgzcW53NnmXgDmXqSmTmtnwpxPWNzJSI3bw8qv9jVlqIIgCIIg/E2dOnXip59+8n3+R2JwxowZdO/evanCEgThHCBJEvPv6cVLV7Whd1pD4uznXcVc/cFabv30z8+s1yq19I/vT1JAkq+t0FJIsC6YViGtUClUvvb/bvsvc/bOodpeTdi995D880+E3nqr73VncTFFjz5KzuAhuM3mE96zb7CJPb3S+aBVgq/N5ZF5PbeY+/ceJtPSsDXZ6vbglmUUComLR7Vk7Mu9MAY2bGc+uK2MvN0VFOdUN7pH6aEasS1ZEIRzkurPu3i1atWKrKwsMjIymDp1KjfeeCMBAQF/fqFwzrmtTxJfbsgjv8qGubQ9GeEZbC3dykcDVTz09Rba797I0nbt0W0q4+D2MpLahf35oIIgCIIgnHVeeOEFLrvsMvbs2YPL5eKtt95iz549rFmzhuXLlzd1eIIgnOWCjRqu6xzfqM1qd+GvU9E1ueGcP6fbw72zt9ItOZgbusajVSn/fyifvnF9WXrNUqodDYk3q9PKxzs/xuFx0CWyCwHaALTJyZjrzXhc9ehUOtzVNRh7dEd2OFEFNVQwLnriCVylZYTedSf69u0B0CgUxOsbkn122cO4mDBWmy10CTD62qcfLuP9w6VMSIjg7vhwFIrGK6zbXxJPQLihUcVkc4mVr6duQu+vYczUHiiVf+uEL0EQhH/VKf/GGjBgAFu2bGHTpk3cddddIkF4HjNoVEwe2ByA937PZkLbx1ApVGxOhfXNJe79aiZ7o93khapYMWcfjnpXE0csCIIgCMJf0atXL7Zv347L5aJNmzb8+uuvhIeHs3btWjp27NjU4QmCcA66o28Km5+4hNHdG1bqbcqtYuHuYt5ZegC1ouER9EBpbaNCKH9QKpQE64J9n7tlN+MzxjMgfkCjVYfTd06n15xefLr7U3TNmxH/8cfEz/rU97rsdlP762Isy5cjH3X+oCMvj9olS3zFT4xKJZOSIvk2IxXVUYnA9dUWzC43hqMSfXUuN88cKGRJRQ2BEQY6DEwgIqlha7K51IrWoCI4ytAoQbh8dhbLZmdRVVx36t9MQRCEf9kpJwnffvttUb34AjI8I4b0GH9q7S6+2+DglvRbAPhkkBpDvZlxP8zll25+mKvtrP8hp4mjFQRBEAThdDmdTm655RYkSWL69Ols2LCBPXv28Pnnn9OmTZumDk8QhHOYWqnAoGnYtJYUauQ/l7Xgll5JjVbjTfpqOx2eXcySzJOf6WfSmLgl/Rbe6PdGo/NSs6qysLvtRBgjfG0ltlIeW/UYP2b/CAoF8bNmET55MvqjnmVrfv6Z/PH3UPToY43uIzsbJyxntUnmxw5pDAlrWCCz2mzhvcOlPL4/v1EsB6z12NweEtuEcssrvbjklta+19wuD3vXF7N7RQEuR0NF6KriOg7trhCLLgRBOGucUpKwQ4cOVFVVnfKgvXr1oqCg4C8HJTQ9hULi8SGtAPhyQx4XRdxIgn8CVQYPs/squHLFYkJKslnTQseOZfmUHKxp4ogFQRAEQTgdarWab775pqnDEAThAhAZ4D33fHy/VF+b3eXG6nDj9sikxzQk4X7ZWcTojzfw7Zb8Px13+iXT+W7od/SO6e1rW1+0nvnZ85mzdw6SJKFr3oyQcbewuXwbpdZSABRGPzSJiRi6d/Nd57ZY2Ne1G4fGjsVj9xZoVCkkOgcYCdOoff3CNWpuiApmeETDFmOAUTtyaL5yJxvMFhRKBcaAhu3MSHDpuNa0vySe0NiG6tB71xWz4J3trJzT+Kx3p/3YqsuCIAj/hlM6k3Dbtm1s376d4ODgP+98pL/dLirfnuu6JYcwsHUEi3aX8Mz8LB4b+ji3L76NxR0U9NntYtLsGYz/z/O0Ouxg6WeZXPtIZ5RqceaGIAiCIJwrhg0bxvfff8/999/f1KEIgnCB0aqULH6gLyU19UT463zty/eVsWJfGS0iTb42WZb5aNVBOiYE0TY2EOWR1YiSJJEalNpo3JYhLbm1za1EGRuqIXtkD/ctu49qezVzhsyh9aibCB51E3ZnPbIsI0kStq1b8VitOAsKUWgbEnwVH32E21xNwLAr0aak0N7fQHv/xucw1rjc1HtkXLJMCz+9r/3TgnJmF1VwU3QIo9qGNqqMDKDRKfEP1RHdLNDXZq1xMPM/qwlPMDHiwQ4oxJmGgiD8i065cEn//v19peT/zNHLroVz2xOXt2Ll/nI25lZx8HAbrky5kh+yf+DDIRpenJHH8KU/80u3wYQsrmHDghy6D0/980EFQRAEQTgrpKWl8cwzz7B69Wo6duyI0Whs9PqECROaKDJBEC4URycIAW7tnUTzSBMd4htW6mWXWXjup0z0aiU7nr4UJd7nzZwyCwF6NSF+DUm9ZkHNaBbUrNGYlfWVxPjF4Pa4aRbc8NrHuz9hTtYcxqWPY1SvUST/tABXaWmja81fz8ORm4s+IwNtSgoAzoICrJs3o8/IQBMXh79KyZburci3O/E/qijLGrOF7bU2BjkathPbPR4eysqng7+BkZcm0HFQIvJRlZBLcmuQPTIuh7tRgnDlV/uw1jhoPyCeiMSGMxAFQRDOpFNKEh48ePC0B46NjT3ta4SzT2yQgUmXNufZBXuY+ksm346fwIr8FeSFVLGgi8SYBd+wrEM3tiUbUfyaR2KbUKJSA5s6bEEQBEEQTsFHH31EYGAgmzdvZvPmzY1ekyRJJAkFQfjXpYabSA03NWpzeWQGto5AQkJ9VOLsqfm7Wbm/nNevbceIDt7nT6fbgwSojuoXqg9l7uVzsblsqBUNW4d3lO+gsr4SjVKDJEloU1Kojw1l9C+jSQ9NZ1LHSYTcfjvWTZswdMjwXWdZuZLip6dg7NGD+I8/Ary/M0OzMnEnJqI8UuTzyZRoBoYG0Oao1YU7a23MLa7kt4oaRkd7K0BLComfysw4PTI9WwQwZmoP6qodjb4HOVvLsFTZad07xtdWdriWrHXFxDQPOmaVoiAIwl9xSknChISEP+8knLdu7pHID9sK2JFfzRu/HmZyt8k8uupR5vVR0W2vg/u//Iin7/4PyUVOfvs0k+se64xGd8qLVAVBEARBaAKyLLNs2TLCw8PR6/V/foEgCEITaRHpz7RRnY5pt9hdvtf/sCyrjHu/3MLgNlG8fm17X7ssy+hVjX/XvdXvLfZU7CHW1LDAZXvZdraWbqWqvoqHOj9E4IjhBI4Yzkc7P6Iup47LUy4nxM+Evn17DF06N4zvdHJozM3I9fWk/LoITXw8MToNQ+tqkdwOwLtiMkyj4v4Eb6GVo3fgvXuolK21Vj5olcCwiCD8gnSU2J1sqK6jrZ+O/je3oji7mvCEhgRqQVYV25ccpqbc1ihJuH3JYfyCtMS1ChbPZYIgnBZxwIHwp5QKiRdHtEWpkPh5ZzHa+s50jeqKQykz/TIVnffsoNuWtfzc00R1mY2132Y3dciCIAiCIPwJWZZJS0sjP//PiwMIgiCcjb67uyfbn7yU5kedX7i7sJp6pwfF/x2BddlbK7lu2loOVdT52jRKDe3D2xOqb0iwtQppxQu9XuD2trc3uv7b/d8yfed0iixFBFw+hMQ5X1J1XX9e3/w6yw8vx1Vaiio8HIW/P+qjdtVVTJ/Bvi5dKXv7bQAS9FoeSopkkr+60fjdAo1kmAxk+Bt8bauqarltdy73ZB4mtnkQnQYnotGp+L2ihkyLjeB4P9pcFEtyRpjvGpfDzepvDrDww13YrQ3bnIuyq8lcU4S5xHpa32NBEC4s4m0F4ZS0ivbntt7JfLA8m6fm7+bjWx9jVOk17Ey0s7K1xISvP2Xs463ZmKZFWlFAUrtQ4luHNHXYgiAIgiCcgEKhIC0tjYqKCtLS0po6HEEQhL8kwNA42Tbh4jSuaBfN0SnCCoudvcW1AAQZNb72j1cd5OvN+dzQJY7R3RMB79bkK1KuaDSmLMuMaT2GXeW7aB3S2te+sXgjn+z6hJzYHPr2f5fUXxfhttQxfdcMTBoTlyVehqu0BAB1TEPi0FVYyIH+A1BFRpK6dAmSQsFTqTE4S0pR4vH1UysUtDXp6RhgaBTLXXsOYXa5+a1TM/pc7z1jcX9dPQdtdlIlFS17RFFTbsMvqOGsxn3ri9m1ooCMS+PpMcJ7jrzH7WHbksMERxmJbx2CQiFqCwjChU6sJBRO2cT+acQHGyiqrmfuWit3tL0DgFkD1ShdNUyaPYOl7Q2UmxQsnZVJfZ2ziSMWBEEQBOFkXnzxRSZPnsyuXbuaOhRBEIQzQqGQSAnzIznMz9cWaNCw6L4+/PfGDvjrjjqTMN9MZlEN1daG5xarw0XXF35j5Ix11DvdgHdb8PDUq3mm5zME6gJ9fdOC0ri22bVcFHeRr81j0PDB9g94Yf0LWJwWYl5/nWbr1rK9nYmp66eyIn8F9pwckCSUgYFIioZH8uKnniKrQ0fM330PwNDwQH5pEcvD9WY8Vu8KQIvbQwujjiCVklRDQ9GXH0rNjN55kLdLK+h3UwuuvC8DSZKYkV/Gr+XVGKP0xDQLJDI5wHfNH7vAFs3Y3Sipum9jMVt+PURlYR2CIFxYxEpC4ZTpNUqeH57OqI828OnaXOa2GUZq4M8cMB9g1gAV43/cxMXrV7CgV29GLTSzYs4+Lh3X+s8HFgRBEAShSYwePRqr1Uq7du3QaDTHnE1YWVnZRJEJgiCcOUqFRPNIU6NtyQAPDWrB4DZRpIQ3JBSzS+soqbHjcsvo1A2Vip/4fhe/ZZbw0MAWXNs5DoD2YR0JU7UiNqjhd6fdZWd0q9Hk1uQS7RftvX9gIOv2bWH23tkoFUr69H6I5ps34ago59ZFtxJjimFyp8m4yspAllHHRPvGs23bxuFbb0WTkkLKTwswqZR83yGN2pUrcW/ahLt1K5R+fgSqlbT209HW1BBLldPF4/sLvF9X7zZ06hcPwE9lZnbU2uiCmtRO4UiShHTUKsK9a4o4nFmFzqgmONpb9b6mwsaaeQcIjfOj0+Ckv/cDEQThrPWXkoRms5l58+aRnZ3N5MmTCQ4OZsuWLURERBATE/PnAwjnrN5pYYzoEMO3Wwp44vtMnr/+SW75dQzL02W6Zkrc+/Wn3NK8NatbGVBuLCG5fRipHcObOmxBEARBEI7jzTffbOoQBEEQmkx0oJ7owMZvjqRF+PH9+J5U1TWuLry/1EK5xYFO05A4PFBq4bK3VhLqp2XT4wMA8NP40SN4NJ0DPFRbXb7tzb1jeqOUlHSP7g6AwmCgwqNkffF61KVqnuj2BEnfzMNVXs57uZ+z+LtnGd16NAMtJpRBQaiTE8mpziHWLxaNUkPpC1NxHDxI/CcfY+zenVtjw7jJUkH1lzOpadMW/0EDsbk9XBkeSLXTjVHVEPcvZdXMK6ni0eQoJtyaDkC108W127NJ0mu5vU0IWoOa8AQTVrcHvUKisrCO7K1lmEttjZKEiz/ZTU2ZjW5XphDTPAjwnotot7kw+GsaFWcRBOHsd9pJwh07djBgwAACAgLIzc3ltttuIzg4mG+//Za8vDxmzZr1T8QpnEUeH9KKZVllZJXUsn5vNGNaj2Hm7pl8OFTDq+/beHjWBzx076OkFjpZPjuLqNQAjAHaPx9YEARBEIR/1ZgxY5o6BEEQhLOKTq2kfVzgMe2fjevCgVILcUEN5wOW1trRqhTEBTdONL6+OIt1OZW8eV17hmV4F9HE6NpRdsiPfQ4TPY+sq/HX+DO114tUO8yoFN5Hc1VoKPt3ZJNbk4vT7cR/0CD8Bw2isCqPId8PQaPQsP7G9WiSkpA9brb4lVOVPZ+MsAz8tm6l8qOP8bvoIvwHDSRap2Fa60Tybr2NPI+biMcfR5uczIAQfwLqbXR125FlGUmSyK13sL3WRpHdyQcXp8PF3hjv2XOIBWVm/hMZTs+rU1FrldS53SwuryFer6E4p4aaMlujr79gv5kF72wnPMHENY80VIA+sLkUSYLotED0Jg2CIJx9TvtMwgceeICbb76Z/fv3o9M1nIEwePBgVqxYcUaDE85OwUYNT1zeEoC3luzn8rhbSA1Mxax1M+1yNRlZu7ly+a8s6OVPbb2T3z/fiyzLTRy1IAiCIAj/Ly8v76R/BEEQBC+DRkXb2MBGhU/6Ngsj85lBzLy5S6O+sUEGUsKMJIYafW17i2uZu+kw328t8LWZNCbmLgvlgx+jWLW/3Nc+Pv1hxjd7l2RDd19bpbsGg8pApDESlVJF3Hv/JXXRIr4tX8pjqx5jRcEKtGlpBI0aha1fJ25eeDNPr3ka2ePBumEDdWvWUuappqq+iivDA3lw3zb8Bw+kYMJEABJ1GmamJ/H2lpVUzf0Kt9kMQH69g3qPTGSgjvYD4mndO4Ycq5079xxi9I6DDLo9nYG3pRMS68dbuSXcs+cQ66osSBIYA7U4PTKVTheyLLN+fg4LP9xFxVFnHRYeMPPj29vY9PPBRt/DmnIb9XVO8RwpCP+y015JuHHjRqZNm3ZMe0xMDMXFxWckKOHsN6y9d8vxyv3lPP1DFlOvmsoNP9/AxlQXy9tI3PH9bDa2asPv7UJQb6kgc3URrXpF//nAgiAIgiD8axITE0+6Fcztdv+L0QiCIJx7FArpmArLr17T7ph+yaFG7huQRoix8Qq63Io6Dlfa0Kkb1u/klal48QcL7eIK+WG8d2tvemg6l5k+psxiJbOohpZR/gAkmVrSJsBDrDEFQ8tOGDp1oqBkM5sXvkmptRRkmbgZ03HmF/D0oU9Ysvp3Huv6GAPMZpAkqiNNfLnxFWL8YrihxQ1kzZhGsd2OulsnjAEBfN0+lbwv5+B+8T+UDr6M8IkTccvQNcBIp20bMerqCUlPR6FT83tWDeuq6xjQKoE73rkIZ72bzDobl27aR7xOw9SUAHRGFf6hOuYWVVLqcJJcUE/enkoUKgUeWUYGlJLE/Le3UV1qY9gDGcQ0825jLj1Uw74NJYTFm2jeNdL3/XLa3ag0CrG1WRDOgNNeSajVaqmpqTmmfd++fYSFhZ2RoISznyRJPD+sDTq1grU5Few4aGR8+/EAfDJIg9ng5NGZ77EpWcXBcBWrvt5PdZm1iaMWBEEQBOFoW7duZcuWLb4/69ev54MPPqBZs2Z8/fXXTR2eIAjCeSMtwsR9A5oxqntio/a5t3dn3p3dfUk/8D5rNY8wkXZUQRWAJXtL+GlHKXV2l6+tme4K1qy7lLcWNLypk+ifSE/di4TW3U1OpQ1jly4EjhhOrcODxx6KSRlO6J130nz7NqwjL2PWnll8nvk5ssNBwPBh+PXty6P7X6fLF134NfdnTKUluA8dosxSwttb3uZA8c98n5HKNW++xKGbRlFbko/L4+Lu+HDezd5Bi/F3YJ75MTo/NSV2b+XoPts30i3NzPAJ6fiH6PmyqILnc4owR2npN6oFrXtHs63WStyy7Vy6MQu30wOAX5CWr4srefdQCRtzq9i+5DAHNpfi9MjUuNzIssyc5zYwbcJySnIb8hSlh2pY+102+zeVNPoe2iwO39iCIBzrtJOEQ4cO5ZlnnsHp9P5jlySJvLw8Hn74Ya666qq/HMiLL76IJEncd999J+yze/durrrqKt+73sc7bPvpp5/2Vmc66k+LFi3+clzCicWHGLh/QDMAnl2wh4Ex15MRnoFN5ea9KzU0y8th5MIf+KmniVqPh19n7MbtEr+QBUEQBOFs0a5du0Z/OnXqxG233carr77K22+/3dThCYIgnPeiA/V0SgzGqG3Y5HdJqwgW3d/nmBWJ/xnUkkcua0FyWEPy0Opwo1crCTM1nAEfog9h9yE9K3ZLmK0NBViujn2MupwH+fg3b1+FRkNYUCwJ9Q/jLhpLVqWdqKefJm7aBxTWWrGYEykzawi+aSQJn82idlA3pu+czie7PkGur0ffti3q+Hge3fcaGZ9lYDMvo09tJfKunRSUZvP4qsc5kD+bg73bMO7dV8kbewv7Dm8lsyKTiwKUPLV9DRn3jCFsy7cktgml3OHCA/T75XuuaHOIW5/LwD9EzxeFFby65yBmTT3t+8eS3D6UHbVWmq3cSY/1mVhrvIk/rV7Fu4dKmJx1mBUHK9iy6BD7N5ZgcblZb7awv66eeS9u4oN7l1F8sNr3fSk8YOa3mXvYuSy/0fe7OKea0kM1OO1iVb1w4Tjt7cavvfYaV199NeHh4dhsNvr27UtxcTHdu3fn+eef/0tB/LGFuW3btiftZ7VaSU5O5pprruH+++8/Yb/WrVvz22+/+T5Xqf5SEWfhFIzrlcTPu4rZftjMQ/N28eJ1z3HNgqvZE2NjQWeJUb98x7r0DBZ3juWKNbWs+yGHnlelNnXYgiAIgiCcRPPmzdm4cWNThyEIgiAcZUjbqGPaRnSIZUSHWBz/txjjzr4pFFTZiAtuKLRid3kwaVWE+jUkFBMDEqmuzuFwpQ2ro2GF4sikp7h//S5+XK/n5g5hqMLCCDfnYFj6OIdydWxsb6Xr558BUPD13dQXD2V9lo7LRgxH3yadHX5mvt32EZGGIm5IHIWhfXtc5ipeO/gpK9es5pkez9BTdlCRl0eOJY+bvx1CjF8s2/q8Q9W9oyhxuchq4aGooJYMbVsu376eDjOnoxk6mLqLxrC3qgKA+955me6BfpgmTsYUquO37QWU7MnkorJSOqSEEdCmBZl19Vy59QDpDhsjaywgK9EZ1UzIPMSWGiujbBpc64px1rsJ6x7B9PwyIjVqtDP2U1tZz1UPd6Q2XIvd48G1r5ad32UT2zKYfiMbFiNt/TUPp8NNyx5RmIK9tRtsFgc1ZfXoTWr8QxsXtxGEs9VpZ88CAgJYvHgxq1atYseOHVgsFjp06MCAAQP+UgAWi4WRI0cyffp0nnvuuZP27dy5M507e6sj/ec//zlhP5VKRWRk5Alf/392ux273e77/HjbqYXjUykVvHldewa/tZK1ORX8uj2chzo/xJS1U5jTT0X7g95tx7c/8gLJcRpYnEds8yAS0kOaOnRBEARBuOD9/5xHlmWKiop4+umnSUtLa6KoBEEQhNOlUTXeJDiya8IxfYZlxDAsIwa3p3ExkMcGt6Skxk5iSEOhFX+tjjYxATSLCPC1JQcmo5FzKbHZUCkb7jc27VEmbt5OVp4RzZAENAkJJFoK8F+uIidXzdauVvodSSjWffMilr2D+LBGy+U33ohfr57sUBaxf4lMvhxLcVo1EcOH4TZX80P+JtZk13N96yiuNGooB0qCJW797j4CNMFsv/oLKu/dTJ3LxYfD9KzduYWeqeNoV1xO8oz3cQ+7lJnu1dRvN5Cov5YXJ9+O0VJL8cfPsMS8kANVgUSv3U/H339BkdwOc5shbKnI5b95ddz76w/0zrGRH9UbnVHNQ9mFbNufwwOF5Ui5DupjM9hXV88VW/bT3GXn2t9qqK72kNA6hNl1NeystdGzGio/zSameSAX39uOb0uqCFAp8XyaQ22FjYG3peOKNWBze1CU2Mj5vZCQGCMdByX6vrfZW0px1LuJaxmMX5A3ueuod2GpsqPRqXxtgnCm/OUldr169aJXr15/O4Dx48czZMgQBgwY8KdJwlO1f/9+oqOj0el0dO/enalTpxIfH3/C/lOnTmXKlCln5N4XoqRQI09c3opHv9vJK4uy+H78JfSNXcby/OW8O1zD8x8VMG7+XGaOGEVUpXcp9/WPd8EYKH6hCYIgCEJTCgwMPOagd1mWiYuLY86cOU0UVdP473//yyuvvEJxcTHt2rXjnXfeoUuXLn9+oSAIwjlGqWj8e39Q+rErFPu3jKB/y4hj2mff2g2z1UlyWENCsVmEP/f0SyUqUOdri/GLIT2yELVUS6C+obDLdc3GsHzjFvzUAagjwlFHhJPusBC7TEtOqYsqu0z7Z58FIGXpN/xeomO5R82USfcQcsftZJbtQp6ZRlFtLBsOlNPnxRdx11STbd5F9paJWHMlHmwbQnXfvhS3iOO79RUo7FF8cG0ofi4nMjCvbCO/rtDRPro1D+vBcCALa5sYxm97GcWmMK7tPokhS35BW1PN4jHw6nezCQ7rzcX77HT99AMcPbvxbOhy3Iv0VPuNZdKzkwgvK2XxnTfxYf4GNkvNUG4yk/btbGoNSSzvmk5R1gGmlCTzwLdf0iOrgrykTuysdTM3U8+OvWU8vH0r8l4lRRd1RttNx+Xbiui1bw83bqom3xXNoAd7M7PGzMqCYi4vNuP4oRT/FokMntyBKdmFGB0O2i0sp7zQxoBb0imK07Gvrp6EOpnK+XkERhjoe1MLVldZ0CgktFsrqSu307xbJOpIPTaPB6XVTdmuSnRGNSkdwn0/s4oCC456N4HhevQmb+Edt9uDvc6FUiWh/b/CPcK57bSThCc6n0aSJHQ6HampqfTp0welUvmnY82ZM4ctW7ac0e0sXbt2ZebMmTRv3pyioiKmTJlC79692bVrFyaT6bjXPPLIIzzwwAO+z2tqaoiLiztjMV0IbugSx5LMEpbsLeWBr7bz0bgn2V52FbkhZr7upeD6pb+wPj2D+X1bMWqhmcWf7GHoxPYoFKIClSAIgiA0laVLlzZKEioUCsLCwkhNTb2gjmuZO3cuDzzwAB988AFdu3blzTffZODAgWRlZREeHv7nAwiCIFwg4oINxAU3bmsZ5d+o8MofZozpfEzbxS3CWflQv0Ztfho/Hrq0LcXV9TSLbHhmH9Z8ACUlOUQFeJOPCo2G1jEd6B3nYUueGZNeTcDlQwC4cdc+1m7ej0Gpx3/QxfgPGojBVkHctJXkVKqpsTm5aOsW5Pp6Itd9jdMcwkG3RJsxvbC3bEaBnxMW76auphndZA0xN92I21xNucNB5cEbqS/08G13DRUbW+FqHse2fRpcNRncd4mJcI93q3deopV5P3VDrZZ5OU6JsbQIw8VJzC4vwDk3iDZtPfTevY3AokLKbgnjrh9ldNoQuqgttP7+Cxxp6VynyMT1XhrOxF7c8PXnJB3OZcnYi3j9pw0YDIlEuzV0eu8lLP7xTOgcwyvToskP68ebs96h+YEsNl/Sn1vX/I7bLx7qTLw+/TW0ijBevbElH80L53d1R+79+XsuzcxmTcv2zHIGU+kfTU5tAC/Mn4uqWMO3l6UQb43m3eo4rty8iet35rHVPw7bFRGURUaw0+zPbauWotlqY2OXRLqPTGVGRSAtsrIZsCmPAw5/AofHUt8sgm1mA322bUG1xkxRy3j6jW3O1xVKTAWlZOwuobJaTfjF8XhSg9hdI5F06BDqTVXUR0XS45o0fq+qR662kHioBlslRLePQZVoYp+lniBLHdKeGiSDkda9Y9hrrcfpduNf6cRZ4SA4yoguQk+504VOknDmWpAUElEpAdR4PMiAVOfCZXGi99OgD9DglkEpgaWiHkkhYQzU+nIWLqcbt0tGqZJQqRvyXbJHRjqP8hqSLMvyn3drkJSURFlZGVarlaAgbynyqqoqDAYDfn5+lJaWkpyczO+//37SRNvhw4fp1KkTixcv9p1FeNFFF9G+ffvjFiT5f4mJidx3330nLXQCYDabSUhI4PXXX2fcuHGn9DXW1NQQEBBAdXU1/v7H/rITjq/cYmfQmysotzi4tVcS3doUcv+y+1HI8PRnLiJqAxj32Iu0KNUzYHMdXYcm02lwYlOHLQiCIAjnHDFXObO6du1K586deffddwHweDzExcVx7733nvSImz/8Gz+Pm195DYvD+Y+MLQiCcK7zAC5ZBUhopIbflRa3Hqesxqi0+dodsppyRxBKyU2EpsLXt8gRSp3bQLi6An9VHQB1soocawIqyU1LQ673XpKH/fVR1DpCidcWE66pQJI9lEkecmszkHDRybALpcuBSwk7PTHY7THEaItIcGQjud0cClKRX90T8NBVswltbTVOjYoNhnjcthTCNSU0r9mOyunkQIyBwzXexGp75TpCyotwa7SsDE/BXdecQE0JbSs2oLXXsz8xkFzLJQC0VG4ktiQXl0rLyphUXHWtMKpLaV+1EUO9lew4f3Js/QEViaotpBVn41KqWRWXgtPSBp26nPbVGzBZ6zgY7c8B50Uga4nT7KBFYRYeScnKhBQclnZoVRW0r9mIv7WWQxH+7JN7g8dAtHYPrQt2I0sKViUkUW9pi0ZVTbu6TQTW1pAfZmKvqjO4jIRrcmlbsBOA1UnxWK3paBU20i1bCa41UxhiIlPXBtnlT6i6iPb52wFYlxSLxdYCjcJJq7odhFZXURpoYpepOTgDCFRX0jZ/JyCxNS6CWmcaKjw0s+8m3FxFlcnITv8UPK5AApS1tCjNQvJ42BsVgtmVjAqZVOdewsxV1Oh17A5Mwu0OxCTZSKnMRun2kB0WgFmORylLJHn2ElpdjVWtYU9QAm5XECbJTlz1IdRON3khRqqIQ+lRkCBnEWSpxqPQYIpN5KNJJ6698Xed6lzltJOEX375JR9++CEzZswgJSUFgAMHDnDHHXdw++2307NnT66//noiIyOZN2/eCcf5/vvvGT58eKMVh263G0mSUCgU2O32k65GPNUkIXjPMhwwYABTp049pa9RTLz/uiWZJYz7dBMAX9zalZ+L32B+9nwiLSpemlbP7uR0Hrr3Ea5dXUfzYhfDHsggOjWwaYMWBEEQhHPMmZqrTJ06lYiICG655ZZG7R9//DFlZWU8/PDDfzfUs57D4cBgMDBv3jyGDRvmax8zZgxms5kffvjhmGuOd551XFzcPzp3THtsJk532D8ytiAIgiAITUurKiLruVv/sfFPde542vtIHn/8cb755htfghAgNTWVV199lauuuoqcnBxefvllrrrqqpOO079/f3bu3NmobezYsbRo0YKHH374lLYrnwqLxUJ2djajRo06I+MJJ9e/ZQQ3do1n9vo8Jn21nXnjJ7GxeCNFFPHhEDUTvtvFjYvm88Olw4j4yczij3Zz3eNd0BnFOQaCIAiC8G+bNm0as2fPPqa9devWXH/99RdEkrC8vBy3201EROOztyIiIti7d+9xr2mK86xDFUVYpcp/9Z7CmSABp7UmQxCEM+6PraDykf9V4JE1gISMdOSjwvt3WUIp2VFK9Uf6qrB7Ao+8dqQP+K5TKyyoFTUggVtWYXPFgCwdNXZDX5XSjEZdCoBHVlFvP3GBMIWyCrW2EBmQZSVOW4sT9pVU1Sh1+b57uS2tTtxXWYNSf9j3ucvSElAcv7PSgkp/6Ki+LYAT5GkUVlSGg0f1bQac4BlfqkdlzG7oW5cGsuYEfR2ojPuP6psK8olqG7hQ+WUd1TcFZN0J+npQ+WU29LUmg+f/K1A3/O5W+e05qm8ieAxHvf7HR+/PW+m3F+lIm8sWD27DkVflo3of6WvchyR5ULohzN1QXbwpnXaSsKioCJfr2OBdLhfFxcUAREdHU1tbe9JxTCYT6enpjdqMRiMhISG+9tGjRxMTE+NbAehwONizZ4/v7wUFBWzbtg0/Pz9SU1MBePDBB7niiitISEigsLCQp556CqVSyQ033HC6X6rwFz0+pCVrsys4WF7HSz8f4qX+LzF24VhWt3DTup3ELT9+zY7UFszvk8bIX6tZOiuTy+5sc8zB6YIgCIIg/LOKi4uJijr2wPqwsDCKioqaIKJzQ1OcZ7322Uf+0fEFQRCagscjY3O6qXO4sDncBBk1+Ou8yaXi6nrWZJdT53Bjc7iwOTxYnS7qHW5sTjfD2sfQIzUUgG2HzTzy7U7sTu9r9Uc+2p3es+fG9PGjf1sJm8vGnoJ63vrxxKmQ1NidxEZupt5VT7UrhMxd15ywrxSwBVXEL95PHEF4sk/85prkvw9lpHd1uuTyg/2P+15TeNyoZA8OtRskN0r/TDSR8wGQPWrcB+9FodCidhuILS1G5XGzL1YGyYPSkI02bKm3rwz1BSNR4ofGE0OXzB0oZA9rW4JH4UGjLiLAsA6lBzxKI5XKS/EoglAqUhiyeikSsKaVB4dKRieZCfXsQuORsGvCKDJZsGoDsRlaMnTlb8iSxJ54C06VB7VkI8h5mGCnApsUQqHBTpXBRFVgOpet+x0ZicOhVbh1MmrJTYBURYQNbLZAio0KzCY9FQHpdN+xBkmSKDNVogqU0Cgl/NR2ourAbfWjMtRMpVZNhSmNFllbkSSJam0Vhkg1arUCo0ZFZB1IFh31sVoqVVCuiyMqNxOFQkGdshb/GDVanRadOpmQOg9Kiwo5OIoaBVSqQzEV56FUKrEp6giONaDTqVEoehNglVFZJJSBIViBSoUeTY0ZhULCIzkJjDSgM2pQSO0w2GWUtW4URhNOwCyDyu1CIYFSocAUqkenVyNJA1E5PCicMgGhhj/51/LvOO0kYb9+/bjjjjuYMWMGGRkZAGzdupW77rqLiy++GICdO3eSlJT0t4PLy8tDoWjIahcWFvruCfDqq6/y6quv0rdvX5YtWwZAfn4+N9xwAxUVFYSFhdGrVy/WrVtHWJjYnvFvMWhUvHFde656fw0/bi9kQMv2TOgwgTc2v8Eng9SkFjl48uN3GPfYVFa00aPYXs6u5QW0uSi2qUMXBEEQhAtKXFwcq1evPmbetnr1aqKjo5soqn9XaGgoSqWSkpKSRu0lJSVERkYe9xqtVotWe6KVDIIgCBcWs9VBdlkdtfVOaupd1NY7qT3q49UdY2kbGwjAin1lTPlxNxa7izq7Nzl49AFozwxLo3+6EYvDwvKsMl74ofqE991du5jwfTux1NdQVhtMbtGIE/b9MvMbvi37HQB3fQSSaiz+OgOhTgWK4iKQnOREu0HhIt+zi5I670pyj6scdfAqwk1JJJUbSdm4BpfSzbw+MkguVJpCdHYZjQtUOgVBSfOp16YRVRDAuB+/Rla4+eJiGY3Ljb7cir5URu1RYglMwBa4lJyIRPzsIdzx/ZfY1So2pdaBpEKuV+IpSyOlRkmVJo16Qz0bm/lT4a+nzeZiXAoVUdhQaXUopGgU5nH0ypGprg3FoQ1nW7KB/GAPbnVzXJKSLkoVKZ2iUKk1qNQTSN1US12BG4VeR56/gmKjAnnEWFQKiQFKBZ0viUejkFBJEoY91TjK7CjVCiwqqFdJaFq1QqtScJVKSYuO4agVCtSShLnIgsPmRqlUoFBKKFQSyit6eD8qFRj8Nb4iH7JHBon/WyzU9zT+n9ftNPq2PY2+J17heawz8Abh/y9gbGKnfSZhcXExo0aNYsmSJajV3gy/y+Wif//+fPbZZ0RERPD777/jdDq59NJL/5Gg/2niTMIz463f9vPGb/sw6VT8PLEXUzdPZmXBSqJrVEydXs+2Zhk8dtdkblxRS2qFm6sf7kRY3PErUAuCIAiC0OBMzVVefvllXn75ZV555RXfm71LlizhoYceYtKkSTzyyIWxeq1r16506dKFd955B/AWLomPj+eee+45awqXCIIg/BNkWcZid2G2Ogk2ajBqveuI9hTWsHBXEWabk+r/+1Njc/LSVW3p39J7TMMP2wqYOGfbCe8x5iIF6ckWqu3VbM918+PqEywOkexoIxagCdoIgLs+CnvpZaQGx5NWr0VxKAcbFpbHlYPCicq4H6W+wPt1uHW4bXH0T7qEi/eqMXz5OTVGJy9d40bvdqJ3OtE7PeicENCyDabQKPbRmsQVVYyf/RE2DSzsoEAhq0FSo0BNuKzH1XYQLv8U5oSaUFZU0X/jamxaDXVaBU6VAYdWT71Gy/A9MmXqeBzaQL7raqQo0EmY2YwsaVBqtYQnhqDRa9Gr1fSYV4ylyArAvmg1FSYlGreMTqEg0E9DvxGp6JUK9AoFtYsKqDc7UGsVuLUKNFoleo0SjVqF1qiiVc+GN/TK8mpxuzyoNApUaiVKtQKVRoFSpUClUfqq9AoXpn+scMkf9u7dy759+wBo3rw5zZs3/2uRnoXERO/McLk9XDNtLVvzzHRNCua/o5pz/U/XUmItoWcmTPjexftX3cSii4Yw7qcqYkw6rnm0M1r9aS9wFQRBEIQLypmaq8iyzH/+8x/efvttHA4HADqdjocffpgnn3zyTIV71ps7dy5jxoxh2rRpdOnShTfffJOvvvqKvXv3HnNW4fGIuaMgCGcTq8NFWa2dslo7qeF+BBq8572ty6ngi/V5VNbZqbA4qKhzYLY6cLq9KYHpoztxSSvv77zvtxZw39xtJ7zHld2riY0uoLK+kv2FSnbuSSfcZCLGPxiTRonNUcb6qtVIinpUpt0o9YUAyC4DbnskI1uNYPBOF/YvZlGkN/PkGBlJ8sahdsoY7BAYGoO/XwidYq+g05JSwj78gBo9LOykQG+X0dvB4ACDW0XCg48Qkt6BCftqMKzfwaC1K6jT67HoDVh1eur0BtwGA9dXGqj0T8XiMjAtXc1hfxdapwOrTodSUhFi1OKnUhKgUjJsbgm2au9/G3fGazD7KdA6ZTQumWCTlsuub46fUolRqWD/zCzsFhdavRKNXoVGd+SPXokxUEvr3jG+7115fi0godYq0eiUqLXehJ44fkv4J/3jScLzmZjonTm55XUMfnslVoebBy5pRu82FsYuHItbdnP7L2767VRwz4NP4zIlcd2SalLahnLZHW18S5AFQRAEQTjWmZ6rWCwWMjMz0ev1pKWlXZBbad99911eeeUViouLad++PW+//TZdu3Y9pWvF3FEQhH+aLMvU2l2UVNcTGaDDdOTcvjXZ5XyxLo/S2npfYrDO4fZdd3Ti72Qr/tRKmaHda4mMyKfMVsbBUifZeVF0jm5Fp+hW+OtVFFVnMW3fu0hKGwp1JZLS3miMiR0mMnSJhYoPpnEoDJ67QYnJCn714GeT8auH6EuuIDgqiSD/dkR+v4Gwae/jUEJpoAKl0ohbbcJlMJEeHUn4g5PQpqVx2aZ9VO3NIjU/F4vBSK3BD4vBQK3BiNto4tVMFbVVdmw1Dj5rp6UwRInOIWOwywSpVaSnhxKoUhKoVmF4bz9WszfuKqP3aDOdSyZApSIy0Z8r7m3n+3o2L8zF7ZLRGVVoDWq0BhU6oxqN3vvR4H+CYhuCcBb6R5OE+fn5zJ8/n7y8PN+7zn94/fXXTz/as4yY6J1Z8zbn8+DX25Ek+OyWruyzz+eNzW+g9ih4/hMHOncYtz46lc4HFfTeZaPbsGQ6Dkps6rAFQRAE4awl5ipnF/HzEATh75Jl2beSbFdBNT/tLKK4up7i6npKauoprqnHeiT5dyqJP71aQaBRwXU91cREVFBSV8L+0mr2HlbSJ7EDveMzCDZqyLXs4j9r7kFSHL+y6oSMCQxfK1M+bRqH9VbeGarE3yoTUIf3j1Umeex4wlPSiTQl4Zn9M7z9Fh6lEntgELWBQVT7mbD6B9AvJYGgm0aiiY1l8OZ95OQXYay3Yvbzx6rTIx+pR6BXSMw4pKa2wk6d2c7ceIkSP+/qQaPdQ7hBQ8++cYSoVYSoVeS8soO6qoaEpSSBzqTBYFITFm+i/5iGar8HNpeiUEjo/NTo/NToTWq0BrXYiiuc9051rnLa+zqXLFnC0KFDSU5OZu/evaSnp5Obm4ssy3To0OFvBS2cn67uGMum3ErmbDzMhDlb+fHe69hcspkV+St44xotL04vY/LnHzLltvuILnch/ZBDeKI/cS2Cmzp0QRAEQRAEQRCEv63O7iK7zMLhSht5lVYKzFYKqmwUmuspNNt48/r2vjP+csrreH9Z9nHH8depsDndVNurKbAUUKcoYHDnOtpEJNAxJo0wk5aDlm1MXH4nFuCjHCDnqAHUEBIWSPsDLszffIvJkkdsNxeBNR6C6iDQAkEWmbRxE4lplkFSQBLSpgXIViuxVnjxaz2OkFAsQcHUhYSS0TaewNQr0cTGMmjTPvYntkX5yofUGoy+pB+AViHxqy6cwzvqqf09E39dPcEqPwx2PbFVHqKMcNGAOMI0asI0KrYs3OpL/A08UldKo1NiCNASnqDlktiGwqQJI1ugUEkYTBoM/hq0xhMn/VI7hv/ln6EgXAhOO0n4yCOP8OCDDzJlyhRMJhPffPMN4eHhjBw5kkGDBv0TMQrngaeHtmZHfjV7imqY8OV2Phj9LDf8fC1FlPDhYBUTvt/Alct/5YfeAxn7i5lfZ+zm2kc7YwrWNXXogiAIgiAIgiAIJ+XxyBRW2zhYXsfB8jryKqxc2T6GNrEBAPyWWXLS4h6FZpvv762iTIzpnkC4v4aYQCMR/jrcinLmHfyIIushXtxzmMe21Ta6vk3q3XQwpVCfuZXq3C0A+DtVhFgUBFc5CTa7Sbn8BmKT2tAmtA3OrSuoW72acOCN7d4xFEFByJGRGKOjCYvoiy6qBY/vz2dLXAvMz7xBoX8g9dqG5zONJJHbty1uh4eKAguB9R4UOiNBLki0yIShoGv7CCK1aqI0ata8sgPrkcRf76ODlyA8Xsk1USENY1+ZjCRJ+AVqMQZqMQZpUWuUx/3eJaSHHLddEITTd9pJwszMTL788kvvxSoVNpsNPz8/nnnmGa688kruuuuuMx6kcO7TqZW8f1MHLn9nFZsPVTHt92Je7fsqNy+8mdUt3bTOlRg/73MOxCXy3UVpjFpoZuGHuxgxqQNKteLPbyAIgiAIgiAIgvAP83hk3yq1XQXVvLN0PwfL68itsOJweRr1jQ8x+JKE8cEGwk1a4oINxAcbiA3SExOoJ9BPxqMoxyrt4O0t88mtyeVg9UEO1x7mtsTbGNbuDgAOVtewZMUvjcYPcuuICUogNjiJlIAUqn+YT+krr6CWYJYKdM6jthBLErFX9sSU2o88m53t6e0xT3qY3MBg9hoD2WHw45CsQKuQyOnTFsWRrc9FdidbVHoI06MAIpVKEv10xOk1xOk0fPHCRmoOWwDoKUHvow4z8wvSMubKtg0N7cNw2N2YgnWYgnX4h+gwhegwBmlRKhs/87XoFvWXf0aCIPx1p50kNBqNvnMIo6KiyM7OpnXr1gCUl5ef2eiE80pCiJFXr2nHHZ9tZsaqg3RK7MDEDhN5ffPrfDJQTWqhg2emv8lt/3mehV39uHxNDau+3k/fG8+fytmCIAiCIAiCIJzdZFmmos7BvpJaDpRa2F9iYX+p9+8PXNKcG7vGA2B3eVi0u8R3nVopkRBiJDHESEKIgZZRDed+xYd5ePcWf/y1/rQIbgFAjjmHK3+48oRxHK49jHXrVsxzv8J56ABjjCrCS+xEVMmEV4POaSHmzdvw7zsQgNqUZWjTUlHHJyDFxVEZEUVBaBjZgaHc1aUtyiNFqZ46UMgvtUBq+6O+aO8HlSSRlWtGKq6nsrCO9mYLsTUOtIU2/OrcBAbqGP1CG99l3+mKqAG0BhUBYXr8w/QEhB75GKZv9PX0vq7Zaf4kBEH4t512krBbt26sWrWKli1bMnjwYCZNmsTOnTv59ttv6dat2z8Ro3AeGdg6ktv7JPPhihwmf72D7++5mk2xm1iRv4LXr9PxwnQzU6a/yf33PUFkmhZpRQERyf7inSRBEARBOEPmz59/yn2HDh36D0YiCILQ9OqdbuwuDwF6b7XgXQXVjPpoPVVW53H77y9t2OabFuHHU1e0IinUSHKoH9GBOmTc7CjfwYGqnfxa/B3v7T1AtjmbKnsVACPSRjClxxQAYkwxKFAQrDQR6/In2qwgqsBK6wHX0qL7EKL8orD+tpTq778HYAiAQoEmLh5N2xQ0iYlo4uMAWFVVy4q4Zux9/i0y6+o5XH9UgVEXXI2CyCOfpvvpybPZiZNUhNfLhNXLXNQlhkS9hlC1im9e3kzJwRoAFMAfp/ipNAp0fmo8bg+KIyv/+t/cEo3OW+1XEIRz32knCV9//XUsFu9y4ilTpmCxWJg7dy5paWnnRWVj4Z83eWBztuZVsTG3ivFfbGXmuGe42TySAgp482oNj3yxn3u+/pS3b7iVyCo3y77IIiTGj7A4U1OHLgiCIAjnvGHDhp1SP0mScLvd/2wwgiAI/6Jyi52dBdVkFtWQWVRLZlENOWUWbu+Twn8u867uiwzQUWV1IkkQF2QgLdyPtAjTkY9+pIT5Ad7VhlZ3BcnxeagVauJDegBgcVi5eeHNx9xbQiLWFEuANgDbzp2UvvY69n37mFnrQOesACp8fcNSFYQO9Cb/9G3aEDrhXrTJKVjjE9gbHMpOu5vdFhtTm8WiU3sf6X+rqOGDw2WN7hmuUZFq0JFq0FJyqIai3DrK82uJzrdwVbEV2eNdPihJ0OGiVN8xT9GpgajUCoKjjARFGQmMNBAUYcAYqPVVYP6Df0jj1YKCIJzbTjtJmJyc7Pu70Wjkgw8+OKMBCec/tVLBuzd2YMjbK9lbXMsbiwp46+K3GPXLKHbE2fjiYgWjlyxhX3wS3/Xpz9ifq1g4bSfXPNJZvEMlCIIgCH+Tx+P5806CIAjnOJfbg+rIardyi52h76yisLr+uH3zKut8fw8xalhwby9SwvzQHymUIcsyxXXF7KrYyJJdu9hTsYesyizf6sBOEZ3oEeNNEvpp/OgU3hGt3UOCVU9skZOorEpaX3wNUSNGAlCflYV13ToAdJKEJjEBbbNmR/6koW/XDoAdtVZ+scGuXoPYZbFRVFIPJfm+WMfEhNI90Ju07B1kwur2kCSpCK92419cz4AhKUhHzk9c/PFu9m1o2BoNoDWqCIn2IzjaiNPh9iUJe1yV+le/7YIgnOP+UpJw48aNhIQ0riBkNpvp0KEDOTk5J7hSEBpE+Ot46/oMbvpoPXM3HaZjYlue6/kck5ZPYkEXBYklMhPnziQnOp7v+yZz4+Jqfpu5hyF3tfX9h04QBEEQBEEQBMHucrO7sIYth6rYdtjMjvxq2sQE8N+RHQBv4s9idyFJkBxqpFV0AC2jTLSM8qdVlD/hJq1vLEmSiA2Rya3dR8uQlr726xZc50sK/kEpKUkKSCI1MBVXRQXl06Zh276dh/dkIjsbb1eWQ3bD9d6/a5OTiXr+ObTNmqNNTcGsUrOtxsrWGitXRQaRqPfGs7nGyhuHGif2kvVa0k162vjpCXVLHNpVQemhGuoP1dLyUA3WagfFQDHQqXMUQZFGAGJbBOF2yYTG+hEa50dorN9xVwYKgnBhO+0kYW5u7nG3ntjtdgoKCs5IUMKFoWdqKA8MaMZri/fxxPe7+O7untzW5jam75zOtCFqoiscPDv9DW77zwv8lmFk4OYK1s/PoduwlKYOXRAEQRDOG3V1dSxfvpy8vDxfcbo/TJgwoYmiEgRBODlZlnl5URYbDlays6D6mMrCMg1ldiVJYu4d3YkLNuCnbfwI7JE9ZJuz2Vq2lW2l29hWuo282jzCDeEsuWaJ7/p24e0oqSuhVUAz0ix+JObZSQ1tTsSV3syf22Kh6rPPQfbeVxEQgK5lS3StWqFr1Qp9O2+VX4fHw06rg81derO1xsrW7QfJtTX87o3Sqn1Jwq4BRq6PDCbdpKe1QUdUrYfoCCManfdrWD8/h00/5zb6eiQJgqONhCf4N0oAtuwRTcse0X/5+y0IwoXhlJOERx9yvWjRIgICAnyfu91ulixZQmJi4hkNTjj/je+Xyua8KpZllXHH55v47u7b2Ve1j+X5y3ntWi1TZ1Tx9PQ3mXTf40SVa2DhIYJjjDTrHPnngwuCIAiCcFJbt25l8ODBWK1W6urqCA4Opry8HIPBQHh4uEgSCoLQ5GRZ5lCFlXU5FRSabTxwaXPAm7hbtb+cnQXVgHe1YEZ8EBnxgbSLDaRNTECjcY6uNPyHVza+wvcHvqfGUXPMa3qVHovDgq6mHuumzTy6ORLb5gLse7+DI8c22Dp0gKu9SUKlnx9hEyegjolF364t6rg4JEnC7HThkGUCNN5jk1ZUWbhpx7G771L0WjL8DcTrNQDU1zkx5lq5IcdFUXY+O3Jr2GJ3M2R8WxLbhAIQkehPYISB8AQT4Qn+hCeYCI03oT6yTVoQBOF0nXKS8I9DriVJYsyYMY1eU6vVJCYm8tprr53R4ITzn0Ih8ca17bnyv6vJq7Ry9xdb+WDU84xZdBO55PL61Wqe/CyLu775jGnXjiW0tpqls/YSGG4gPOHY/9ALgiAIgnDq7r//fq644go++OADAgICWLduHWq1mptuuomJEyc2dXiCIFyAjk4Kev9UUlzjPUtQpZC466JU31mBt/dJxuHy0DEhiIQQw3G3ztrddraXbmdD8Qa2lm7lvQHvoVV6V+q5ZTc1jhp0Sh1twtrQPqw97YzNaJ/YnQBtALIss3/oQNyVlY3GVMfGom/XDkPnTo3aQ++8k8J6B4vNFjbsy2d9dR1ZdfVMiA/n0RTvKr5O/gZC1Co6+hvo4G8gw99IO5OewCMFSIoOmJnz7noqCur4fxqdEmtNw6rDxLahJLYN/avfakEQhGOccpLwj0Ouk5KS2LhxI6Gh4peRcGYEGTV8NKYTI95bw4aDlbz8yyHe6v8WI38eyd5oCx9fquD2hb+yLz6ZeRf15eZfqvj5/Z1c80gnjAHaP7+BIAiCIAjHtW3bNqZNm4ZCoUCpVGK320lOTubll19mzJgxjBgxoqlDFAThAvPwNzv4alN+oza1UiIjLoiuycE43B70eJOEV7Q7dvus0+1kV8Uu1hetZ2PxRraVbsPhaUisbS/dTpeoLgBc3/x6LgvpTWxmBfaVG7CunY/scOC/YjngXSBj6NQJx6FDGDp2xNCpI/qOnVBHhDe6Z63LzTPZhayqquWgrfGxDQD59obzCQPVKnb1bI2t1knhfjOF64ooTwsksKN3TJ2f2pcgDIwwEJnkT2RKAJHJAQRFGVGI89kFQfgHnfaZhAcPHvwn4hAucGkRJt6+MYNxMzcyZ+NhmkW04qU+L3HPknv4LcNbyGTSlx9xf3gU3/RLZeQiMz+/v5PhkzJQqcVyekEQBEH4K9RqNQqFt5pleHg4eXl5tGzZkoCAAA4fPtzE0QmCcL6qd7pZf7CSlfvKWLG/jI/GdCYu2AB4twX/kRTslhxMt+QQMuKDfKsH/58sy3hkD0qF9/XZe2fz6qZXG/UJ04fRObIzXSK7kBKYgnXTJmoXL8azdh2affsoPbqzSoWrtBR1RAQAMW+8jqRsuLfZ6WJVqRmrx8O1kcEAGJUKFpSaqXK5UQBtTQa6BRrpGmCkU4CRMI0ap91N4X4zhzMrOZxZSWVhw0pBm8VB6pEkYWCEgUF3pBOVEojBX/N3vs2CIAin7ZSShG+//fYpDyjOrhH+qn7Nw3l0cEue+ymT537aw8c3d2ZChwm8teUtPrlURVyZk+envcadDz3Lgh5BDF9Zw7LPs+h/c0tRlUsQBEEQ/oKMjAw2btxIWloaffv25cknn6S8vJzPPvuM9PT0pg5PEITzhCzL7C+1sDzLmxRcf7CyUaGRlfvLubFrPADXdorj+s7xJ0wKAlgcFtYXr2d1wWpWF6zmnox7uCLlCgC6RHYhWBdMp4hOdInsQufIzkSVONElJSFpvEm3ksUfUvnpLN942hYtMHbvjrF7NwwdO6IwGn2veRQKtlfXsbSylmWVNWypseIBorVqrokIQpIkFJLEk6nRhKhVdAv0w1/VOHanw83HD67E5WxcXCUkxkh0syAS0kN8bZIkkZLReKWiIAjCv0WSZVn+s05JSUmnNpgkkZNz7CGs55qamhoCAgKorq7G31+ce/dvkmXZt8XApFXx3d09+GDvFBblLiLAruT5j+zY9DGMnzyFDrkKLtppo/uIFDpcmtDUoQuCIAjCv+ZMzVU2bdpEbW0t/fr1o7S0lNGjR7NmzRrS0tL4+OOPadeu3RmM+vwl5o6CcHILdxVz5+ebG7VF+uvo0yyUPs3C6J0aRoBBfcLrZVkm25zNsvxlrC5YzbbSbbhkl+/1y5MvZ2rvqb6+nro6rOvXY1m+AsuKFbiKi4mfORNjt64A1K3fQM2CBRh7dMfQtSuq4ODj3ve57EK+KKygyuVu1J5m0NI7yMSTKdHolApfu83iIG9XBbm7KnA5PAy5u63vtXkvbaKu2k58y2BiWwYT2yIIvZ9YKSgIwr/jVOcqp7SSUGwxFv4tkiTx7LB0DpbXsTG3iltnbWL27U9wqOYQeyv38uINWp6ZWcBTM97ikfEPEVLthu+yCY4y+qp8CYIgCIJwajp1ajh0Pzw8nIULFzZhNIIgnOuqrU6W7Stl8Z4SMuKDGNfLu9ikR2oIfloVHRKC6JMWSt9mYaSG+53ybqByWznD5w9v1Jbgn0DP6J70jOlJp4hOuCoqqFmwgNply7Bu2gzOhnMAJa0Wx+E8X5LQ2LULxq5dfK97ZJkdtTYWV1QzMSECzZFjGBwemSqXG3+Vgj5BJvoF+3NRsIkYnTe5J8syFQUWcneWk7ujguKD1XBkCY6kkLDbXGj13kfuK+5th0avEjugBEE4q53SSsIT+ePS8+0XnXg3uOlVWOxc+d/V5FfZ6JESwivXJTB60U2UWktpfVjisdlOfu7Zn3evH8dNS2tIqoOrH+5EcJTxzwcXBEEQhHOcmKucXcTPQ7iQFVfX88uuIhbtLmZjbhVuj/cZsV1cID+M7+nr53B50KgUJxoGAKvTyprCNfx++HdcHhcv9XnJ99qYX8ZgVBvpE9uHntE9iTXFItfXo9DrAbDt2k3u1Vf7+qvj4vDr2xe/vn0wdO6MQqdrdK96t4dVZgu/llfza3kNxQ5vUnFuuxT6BpsAyLbWU+Fw0cHfiOo4BUOWzMpk75qiRm0hsX4kpocQnx5CZJI/CuXJv2ZBEIR/wxldSfj/Zs2axSuvvML+/fsBaNasGZMnT2bUqFF/LVpB+D8hflpmjOnEVe+tYU12BR8s9eO9/u8xZuEYdsfV8cEQBeN/XEJ+eBTf9B3MzQur+em9HVzzn07ojCfeqiAIgiAIF7oOHTqwZMkSgoKCyMjIOOmbvVu2bPkXIxME4VwiyzKjP97Ayv3ljdqbR5jo3zKcAa0iGrWfKEFocVhYlr+MRbmLWFOwxleJWKVQ8YTjCfw0fgB8MugTJBls27ZR+/6XZP/2G4ZOnYie+gIAutatMF02CH27dvj17YsmMfG4v992W2y8nlvM75W1WN0NZwQalQr6BZswHZXUSzHoSDGA0+7mwK4KcraW0n1EKqZgb8IxMsmf/RtLiG0RRGKbUBLSQ3yvCYIgnItOO0n4+uuv88QTT3DPPffQs6f3naFVq1Zx5513Ul5ezv3333/GgxQuTC0i/Xnr+gxu+2wTn607RLOI1rzW9zXGLxnPinQIr4I7v/2CwtBwvr6oI6N/NfPLBzsZOqE9SrV4x04QBEEQjufKK69Eq9UCMGzYsKYNRhCEc0aB2caq/WVc19lbYESSJPz13jfnOyYEcVl6JANbR/qqFJ+Kd7e+yye7PvElBgFi/WLpF9+PfnH90Kv0yB4Ptm3bqPnpZ2p+XYS7rCEpWedwIMsykiQhSRKxb7xxzD0qnS7q3B7idA3n//1UVg1AlFbNpSH+DAwNoGeQH1pFwzOE3eYid0c52VtKydtTiftI0ZGI5ADaXRwHQLMukTTrGon6JEVWBEEQziWnvd04KSmJKVOmMHr06Ebtn376KU8//fR5cX6h2DJydvlgeTYv/rIXpUJi+uiOVCpWMmXtFADuXuCmW5aGiQ88iUITx9UramneJYIBY1udd9vgBUEQBOEPYq5ydhE/D+F8VVnnYMGOQr7bWsDWPDMAi+/vQ1qEdzvuwfI6dGoFUQH6Px3L6rSyomAFXSO7EqQLAuDLvV/ywvoXSPRPZGDiQC5NvJS0wLRG8/hDN4/Fum6d73OFyYTfRRdhGjAAv149G1Ui9sXtdPFLWTU/lppZZa5lWHgQ77byFjqUZZn/5pXSJ9hEGz/9Mc8M1WU2VszZR/7eSjzuhkdl/1AdyRnhtOgWSUiM3yl+BwVBEM4O/9h246KiInr06HFMe48ePSgqKjrOFYLw99zRJ5nsUgtfb87n7i+28OVt/bm1TQEzds5g2mAVITUOXnj/Ve58+Fl+a29E2lCCf6ierkOTmzp0QRAEQTirbdy4EY/HQ9euXRu1r1+/HqVS2aiwiSAIF4Z6p5slmaV8tzWfZVlluDx/nEMPnRODqXM0VPpNCj35eeBuj5sNxRv4MftHfsv7DZvLxpPdn+SaZtcAMDhpMB3CO9AsqBmSJGE/cIDyL94j5LZbURxZ8WzokEH9zp2YBgzAf8hgjN26IWmOrQpc43KzoMzM/BIzK821HJXfI7++8YrDexIatkK7HG4sVXYCI7wrIPV+avKzvAnCoEgDKR3CSc4IIzT21AutCIIgnKtOO0mYmprKV199xaOPPtqofe7cuaSlpZ2xwAThD5Ik8cKINpRZ7CzLKuOWmRv5+s5bKKgt4JfcX3j9ahXPfFrF1Pde4d5JT+Nv1cLPuZhCdLTqGd3U4QuCIAjCWWv8+PE89NBDxyQJCwoKeOmll1i/fn0TRSYIQlNZsa+M8bMbziNNj/FneEYsV7SNItz/1M7bO1B1gB9zfmRBzgJKraW+9li/WFRSwyNogDYAY52bqs8+w/zd99gzMwHQtWiOacAAAILHjiXkjjt8ScMTGbH1ALsstoa4/fRcERbIFeGBJBsaX+txe8jfW8W+jSXkbC0jKNLANY90BkCjVzFgTCtCYv1EUURBEC44p50knDJlCtdddx0rVqzwnUm4evVqlixZwldffXXGAxQEALVSwXsjO3DDh+vYnl/NzZ9s5MvbH6fEWsKW0i1MvV7N858cYsr0N3jsrsmYrB4UX2RhCtIR1yq4qcMXBEEQhLPSnj176NChwzHtGRkZ7NmzpwkiEgTh31RgtvH1psMEGTSM6ZEIwEXNw2kV5U/f5mGMyIjxbS0+VVX1VVz949W4Ze+KQ3+NP5clXcYVKVfQNrQtkiQhO51YVqzA/N13WJYtB5fLe7FajV+vXiiDgnzjKU2N7y/LMptrrHxfWsVjydHojxQaGRIWgMMjc1VE0HETg7IsU5pbS9b6Yg5sLsFW6/S9Zqt1Yrc60Rq8ZyymdW5cdEUQBOFCccpnEu7atYv09HQANm/ezBtvvEHmkXd6WrZsyaRJk8jIyPjnIv0XiXNlzl4VFjtXvb+G3AorLaP8mT6mJXf9PpbcmlySSmDKZy5WZvTk1dF3c8MyCykWmasmdxTnhgiCIAjnlTM1VwkJCWHBggV07969UfuaNWsYMmQIVVVVfzfUC4KYOwrnEqfbw5LMUuZszGP5vjJkGeKC9ayY3O+0t9O6PW7WFK5hd8Vu7mx3p699wtIJAAxNGUqf2D5olI23B9sPHCDn8it8n+vS0wkYPgz/wYNRHZUgPFqezc7c4kq+Kaki1+YtdPJBqwSGRXj7Oz0yKokTfg0rvsxi5/KChnv6qUnrGE5a5wgikwOQFGIrsSAI569TnauccpJQoVDQuXNnbr31Vq6//npMptN7R+lcIiZ6Z7e8Cisj3l9DucVOz9QQnhkRxdhfR1Flr6LdQXj4Kxff9RvMzCtHMvq3GpKUaq5+uBPGwJNvURAEQRCEc8WZmqvccMMNFBUV8cMPPxAQEACA2Wxm2LBhhIeHi10ip0jMHYVzwaGKOuZsPMy8zfmU1dp97d2Sg7mhSzyXt41GeYqJspK6Er478B3f7v+WoroiJCR+ueoXYvxiAPDIHhSSd4Wf21JHzYIfcZaUED5xom+Mw3fdjSYpiYBhV6Jr1uy497F7PCwsr2Z2YSUrqmr548HVoFQwODSA2+LCaGc6tpqy2+3h0M4KwuJNmIK9W6Rztpbx68e7SW4fRvNukcS2CEKpVBxzrSAIwvnojCcJV65cySeffMK8efPweDxcffXVjBs3jt69e5+xoM8WYqJ39ttVUM1109ZS53BzRbtobukvccfi27G5bHTf42HifA/Th93Aoj5XMGaRmaQwI8MndUCjO+0d9oIgCIJw1jlTc5WCggL69OlDRUWFb0fItm3biIiIYPHixcTFxZ2pkM9rYu4onAsmf72drzfnAxDqp+GqjrFc3zn+T4uP/MHlcbG6YDXz9s1jRcEKPLIH8G4nHpoylJtb30yEsWGbbv2ePVTNmUv1ggXIViuSRkPaqpUoT+PfyAFrPb3W7/V93ifIj+sigxkUFoBRqTymf2VhHZlrCslaX4yt1knnIYl0ucJbzNDt9uCyu31bigVBEC4kZzxJ+Ie6ujq++uorZs6cycqVK0lNTWXcuHGMGTOGyMjIvx342UBM9M4NK/eXMfaTjbg8Mrf2SuLiDDPjl47H5XExYKuH2xZ6eGn0nexo3YtRi6tJax7CkLvboBDvGAqCIAjnuDM5V6mrq+OLL75g+/bt6PV62rZtyw033IBaLR6kT5WYOwpnmwqLnS835HFp60iaHTlTcEteFW/9tp8busTRv2UE6tOcE8/Pns9jqx7zfd4xoiNXN7uaSxIuQav07tjx2GzU/PwLVXPnUr9jh6+vJimJoOuvI/Dqq1EYj5+UrHO5+aHUTL7dwUNJUb72O3fnkqTXcn1UMAn6Y3cGuZ0esreVsntFIYX7zb52vb+GjAHxZFwaf1pfpyAIwvnoH0sSHu3AgQN88sknfPbZZxQXFzNo0CDmz5//V4c7a4iJ3rnj+60F3Dd3GwCPDW5JQvwBJq+YjEf2MGyNh+tWwuN3TqI0vA3Xr6ilTc9oLrqx+WmftyIIgiAIZxMxVzm7iJ+HcLbYmV/NzDW5/LijEIfLww1d4pk6os1fGmtX+S7qnHV0jfJWP7c6rVw1/yr6x/dnRLMRJAckH3NNxYwZlL76mvcTtRr/SwYQeN31GLp0PuH8+4C1nk/yy/mquJJatwe1JLG1R2tCNX++A8jjkfniybXUlNcDICkkEtuE0LJnNPGtg8V2YkEQhCP+lSQhNLz7/Mgjj2A2m3G73X9nuLOCmOidWz5ckc0LP3u3Ibx2TTswrefptU8DMHKpm4Fb1Dw48TEUygSuXF9Hl6O2HQiCIAjCuehMz1X27NlDXl4eDoejUfvQoUP/9tgXAjF3FJqS0+3hl13FfLoml82HGooNtY0N4PY+yVzeNvrUx/I4WZy7mC/2fsGOsh2kBqby7dBvfQk+WZYb/b1uzRoUegOGDt7jClzl5Ry6aRQBI0YQOGI4qtDQ497HLcssLq/hk4JyllfV+tqT9VpGRocwKjoEf9Wx24k9HpnC/WZimgX64vj9870c2llOq17RtOoVg1+QOIdcEATh/53qXOUvH9C2YsUKPv74Y7755hsUCgXXXnst48aN+6vDCcJfdlvvZEpq7Hy06iCT523n7Ru680DHB3h98+t8cbESY72TF957mYmTnmJpm1Ckn3Ix+GtI7xvb1KELgiAIQpPKyclh+PDh7Ny5E0mS+OO94z8evs+HN38F4XwmyzJD311NZlENACqFxJC2UYzpkUhGXOAp756psFUwb988vsr6ilJb6ZGxVLQMbonVZcWo9m4RliQJj81G9Y8/UvXZZ9j3H8DQuTMJn83yXhMaSvIvP//pfWcWlPPYfm+lYQm4NNSfW2LC6B3kh+I419qtTvasKmLnsnxqK+u5+uFORCR5H3K7D0+hzw3NxKpBQRCEM+C0koSFhYXMnDmTmTNncuDAAXr06MHbb7/Ntddei/EEZ0sIwj9NkiQeG9ySOruLORsPM3HONt4beRnj0qv5aNdHTL9MidFu5aV3X+SeB5/B4NDDnH3o/DSkdgxv6vAFQRAEoclMnDiRpKQklixZQlJSEhs2bKCiooJJkybx6quvNnV4giAcR2ltPaFGLQqFhCRJDGwdQVmtnZFd4xnZNZ5wf91pjfdF5he8vul1HB7vSuJQfSjXNr+Wa5pdQ6i+YSWgs7iYqtlfYp47F3d1NQAKgwFtixbILheSyvtoebwE4W6LDbvHQwd/7zPj8Igg/ptXyoiIIEZHhxB/nLMGAcylVnYszSdzbREuu/dNC61BRU2FzZck1BnF+amCIAhnyilvN77sssv47bffCA0NZfTo0dxyyy00b978n46vSYgtI+cmt0dm8tfb+XZrAWqlxLSbOrLS/AHz9s1D5YaHv3YTZI3ivgeeoOdeFR0PO7ninnbEtghu6tAFQRAE4bScqblKaGgoS5cupW3btgQEBLBhwwaaN2/O0qVLmTRpElu3bj2DUZ+/xNxR+Ddkl1mYviKHb7cU8P5NHejf0ltJ2OpwoVRIaI+zPfdE3B43SoW3/5rCNdyx+A7SQ9IZ2WokAxMGolY2TryVvf0O5R9+CC4XAOrYWIJH3UTAiBEoTabj3kOWZZZV1vL+4VJWVFno5G9gQcdmDTHIMsoTrDi01jj4/fO95O4shyNPq8HRRtr1j6NZ5whUmlP/WgVBEIR/YLuxWq1m3rx5XH755SiPU25eEJqaUiHx8tVtsbs8/LSziDu/2MKM0XdRm1jLotxFvHqVkie+LOSVt19g0sQn0DpVKN/fyfBJHQiLP/7kRhAEQRDOZ263G9ORB/zQ0FAKCwtp3rw5CQkJZGVlNXF0giAAbD5UxbTl2SzOLOGP5R0r9pX5koSGUyjwAd6k3drCtXy862PahrVlQocJAHSP6s6XQ76kdUjrRqsAZY8HSeHdwqtJSgKXC0PnzgSPGY1fv35IJ3gmtHs8fFdSxQeHy9hb5y0oopQgRqfB5vagP7It+EQJQgCdUUV5fi3IkJAeQrv+ccS2CBLFBwVBEP5hp5wkPB+qFgvnP5VSwZvXt8fh9rB4Twm3f7aZj29+CIvTwuqC1bxwnZrHvzzMy+9MZfKER9FuVvDjO9sYMbkjgeGGpg5fEARBEP5V6enpbN++naSkJLp27crLL7+MRqPhww8/JDlZFPkShKa0LqeCt37bz9qcCl/bgJYR3Nk3mU6Jp74TxuVxsfjQYj7Z9QmZlZkA7Kvax13t7kKtVCNJEumh6YA3kWhZvpyKD6fjP/BSgseMAcD/skFoU1PQtWx50nvNK67kmexCSh3eFYdGpYKRUSHcGht6wi3FjnoXu1cUkrOtlGGTOqBUKlAoFVw8qiV+QVqCIsWxVoIgCP+Wv13d+Hwktoyc++wuN7fP2szyfWUYNUpm3NyOD7L+w5bSLRjs8MRsF/X6NB4d/x9GrHPRGhUjJnfEGCCqoQmCIAhnvzM1V1m0aBF1dXWMGDGCAwcOcPnll7Nv3z5CQkKYO3cuF1988RmM+vwl5o7CmebxyFz21kqySmpRKyWGtY/hjr7JpIaf+u4Xl8fFzwd/Ztr2aeTV5gGgV+m5Ku0qRrcaTZRflK+v7HJR88tCKqZPx75vHwDq+HhSFi08rdV780vN3L47lyitmltjw7gpKpgA9fHXpdhqHez4PZ+dy/KxW71JxUvGtaJZ58hTvp8gCIJwak51riKShMchJnrnh3qnm1tmbmRNdgUmnYpPxrbnnT0PsaV0C8Z6b6Kw1r8FT93xMNeustPaT8/wSR3Q6v9y0W9BEARB+Ff8nbnKjh07SE9PR6E4fiXQyspKgoLEtr7TIeaOwt8lyzLrcippFxfg2z68cFcxqw6UcddFqcQE6k97zDc2v8HHuz4GIFAbyI0tb+SG5jcQqAtsuK/TSfUPP1A+7UOchw8D3mIkgddfT/CYMagjTlzkL9dm591DpbTw03FrbBgALo/MgjIzg8MC0Jzgd0xtZT1bF+eRuaoQl9PjjS/CQMal8TTvGolSJaoUC4IgnGkiSfg3iIne+cPqcDHm4w1szK0i0KDmk7HteH3ng2wr24axHp6c7aIiKJ0Xxk3ihuX1tIny54p724nDkAVBEISz2t+ZqyiVSoqKiggPDyc5OZmNGzcSEhLyD0V6YRBzR+GvkmWZtdkVvPnbfjbkVvLY4Jbc1uevbfV3eVxYHBZfEvBw7WHG/DKGm1rdxPXNr8egPvZonaInn8L81VcAKIOCCB49iqAbb0QZEHDC++yts/HOoVK+K6nCA4RrVGzs3grtCZKCR6spt/HFk+vweLyPoGHxJjoOSiCpfRgKhXhjQhAE4Z9yxguXCMK5yKBR8fHNnRn10Qa2HTYzbuYOPhz9Cm/ufpDtZdt59gYVT87exeRP3+a1UfehWlaDevouLrujjXgXUxAEQTgvBQYGcvDgQcLDw8nNzcXj8TR1SIJwQdqUW8nLC7PYkFsJgEalwGJ3nfY4Lo+Ln3J+YtqOabQMbslrF70GQJwpjkVXL0KtaKhULLtceOrtKP285/wFXncttUuXEjJuHEHXXYvCcOIzurfXWnkrt4Sfy6t9bRcHm7gvIeKkCcJ6ixOdnzcG/1A9UakBSAqJDgMTRDESQRCEs4xYSXgc4t3g80+1zcmoj9azI78af52KaaPb8O7eyewo24Gfzbui8FBMF967djw3LaujbeswLh3XCoVSJAoFQRCEs8/fmavcfvvtzJo1i6ioKPLy8oiNjUV5giqlOTk5ZyLc856YOwqnY29xDa8uyuK3zFLAmxy8sUs8d/ZNITJAd8rjeGQPCw8u5L/b/us7czBYF8yPw3/EX9P4/4ey203Nzz9T/t/3MPboTuSTTza85nAgaTQnvdcbucW8dLAYAAkYHBbAxIQI2ppOnFSsKLSw6adcDu2q4KZnu2Pw997D6XCjFrt2BEEQ/lViJaEgHCVAr+bzW7sy9pONbD5UxW2f7uTdkS8xXX6YHeU7jqwo3MBt36qZMfwOWF6G6rO99B/dEklsfRAEQRDOIx9++KGvUMmECRO47bbbMJlOvRiCIAh/z+u/7uO3zFKUColrO8UxsX/aaSUHZVlmbeFa3tzypq9acZA2iJvTbz5mW7Hs8VC7aBFl77yL40jS31NXR/hDD6HQee95ogShR5ZRHFnld2loAK/nljAsIpB74yNoZjxxvBWFFjb9nMuBzaVwZDlK3p4KWnTzFkoRCUJBEISzl1hJeBzi3eDzV53dxa2fbmJtTgV6tZK3bmzFzJz/sLN8JyYrPDXbxb7Ennx85W3cuMJKl27R9LmhmdgGIQiCIJxVztRcZezYsbz99tsiSfg3ibmjcDIVFjsyEOqnBWBfSS1v/bafBy5tRkqY32mP92P2jzy66lEAjGojY1uPZVSrUcecOVi3bh2lr75G/a5dACgCAggZO5agm27ybTc+nr11Nl45WEyoWsVLzeN87WUOJ2Ea9QmvqyysY+PPBxslB1Mywug0JInQ2NP/OgVBEIQzRxQu+RvERO/8Vu90c+fnm1mWVYZGpeD161ry+aH/sLtiNyYrPPGli9zYrkwffic3rrTRvW8cPUakiEShIAiCcNY4E3MVp9OJXq9n27ZtpKenn+EILyxi7igcT53dxYyVB5m+Mocr2kUxdUTbvzyW0+P0nS1odVoZ/sNwLo6/mNvb3k6QLuiY/pWzZ1PyzLOAt1px8C23EHzzGJR+J07WZVvreS23hO9KqpABrUJia4/WBKv/fPNZvcXJzEdW4z5SrVgkBwVBEM4uYruxIJyATq1k2qiOTPhyK4t2l3Dfl3t48ernkXmUPexhykgVj8xdz13z3EwbcTcsO4xaq6TL5UlNHbogCIIgnDFqtZr4+HjcbndThyII5xWPR+bbrQW8vHAvpbV2APYU1eJ0e1Cf5nnXZdYy3tv+HpkVmcweMhuFpMCgNvDj8B/RKBtvE5Y9HqQjBUT8Bw2i/O138L/8ckLvuhPVSSqYH6538OrBYr4uruSPMkZDwgKYnBR50gShw+ZCo/e+rvNT06pXNHVmO52HJBIaK1YnC4IgnIvESsLjEO8GXxicbg+TvtrO/O2FKCR4bkRzFpY/w9bSrWgd8NA8N3V+7Xj/mnu5brWdi69IIePS+KYOWxAEQRDO2Fzlo48+4ttvv+Wzzz4jODj4DEZ4YRFzR+EPG3MreXbBHnbkeysAxwXreWhgC4a0iUJxGudc17vqmbVnFjN2zsDmsgHw0aUf0SWqyzF9XVVVlL//Ps5DecRN+8DX7qmrQ2E88bZigEXl1dy2KxfHkUfCS0L8eSgpkjYnKUhitzrZ+mseO37PZ/ikDoTFexOCskcWZ3kLgiCcpcRKQkH4E2qlgjeua49OreCrTfk89m0WU4Y+iU75MmuL1jL1WiUPfLede+e8wX+vvQ9+zEalUdDmotimDl0QBEEQzoh3332XAwcOEB0dTUJCAsb/Syhs2bKliSIThHPP15sOM3neDgD8tCruvTiVm3smolWdeqEOWZZZdGgRb2x6g8K6QgDahrZlUqdJdIjo0Kivx+Gg6rPPKH//AzwWCwC2HTvQt/Vua/6zBCFAJ38jWoVEZ5ORx5Kj6BBw4mtcDjc7luWzZeEh7FYXAFnri31JQpEgFARBOPedNUnCF198kUceeYSJEyfy5ptvHrfP7t27efLJJ9m8eTOHDh3ijTfe4L777vtbYwoXNqVC4sURbdGplcxae4gnf8hi8sAH0ce9x9LDS3j1KiX3/LibiV++xjvXPYA0bx8qjZKWPaKaOnRBEARB+NuGDRvW1CEIwnnjklYRhBg1XNo6kgcuaUaYSXta11fVVzHx94lsLd0KQIQhgvs73s/gpMGNzsaWZRnLkiWUvPwKzrw8ALStWhI+aZIvQXg8blnmm5IqVlXV8laLeCRJIkSjYknn5sTpNCc8f9vj9pC5poiNCw5SV+0AICjKSLcrk0lqF3paX6MgCIJwdjsrkoQbN25k2rRptD3Jf9QArFYrycnJXHPNNdx///1nZExBUCgkpgxtjV6jZNryHF5ZtJ8x3cdxebKRBTnzeWeoknGL9nL/7Fd45/oH4MtMAJEoFARBEM55Tz31VFOHIAjnJI9H5pst+azcX85b17dHkiQCDRqWTb4Ik+7EFYBPJkAbgNPtRK/SMzZ9LDe3vhm9St+oj6usjIKHHsK6dh0AqrAwwh54gIArh/rOI/x/sizze2Utz2UXsqeuHoCrIoLpG+xdARivP3kyc/7b2ynIqgLAL1hL1yuSadY18rS2TwuCIAjnhtM7OfcfYLFYGDlyJNOnTyco6NjKXEfr3Lkzr7zyCtdffz1a7Yn/Y3Y6YwoCgCRJPHJZSx4f0hKAT9fmYT40gmvSbkSWYMYgJQfC93PfF6/wQycFP8/ZS+aawiaOWhAEQRD+PrPZzIwZM3jkkUeorKwEvNuMCwoKmjgyQTg77Sms4Zppa5k8bwfztxfye1ap77XTSRDa3XZm7pqJ1WkFQCEpeK7Xc8wfNp+72t11TIIQQBkQgLOwEEmjIeSOO0hZ+AuBw4edMEGYabFx/fYcbtyRw566evxVCh5PjqLLSbYV/7+UjDC0BhU9r07lpindadH99M5XFARBEM4dTb6ScPz48QwZMoQBAwbw3HPPNcmYdrsdu93u+7ympuaMxCGce27tnUyEv45JX23nl13FdKm7iFHtTHyWNY3Z/ZQMX32QB2e9wOs3PYQ8NwuAlj2imzhqQRAEQfhrduzYwYABAwgICCA3N5fbbruN4OBgvv32W/Ly8pg1a1ZThygIZ43aeievL97Hp2ty8chg0CiZ2D+Nnqmnv+V2VcEqpq6fSl5tHrXOWu7NuBeAlMCURv1khwPz998TOHw4klqNpNEQ8/LLKENC0MSe+Jxsi8vNczlFzCooxwNoJImxsaFMTIg4acVia42DjQsOEtsyiJSMcABa944mrXMEOuNfWyEpCIIgnDuaNEk4Z84ctmzZwsaNG5t0zKlTpzJlypQzFoNwbruiXTQhfhrumLWZDQcrMVvbMK7HJD7a+xrf9VRQpy/g0Y+e4eUxD+P+KgtZhlY9RaJQEARBOPc88MAD3Hzzzbz88suYTCZf++DBg7nxxhubMDJBOHvIssz87YU891MmZbXehQVD2kTx+OUtiQo4drXfyRTXFfPyxpdZfGgxAGH6MNKC0o7bt27deoqfeQZHTg5yvZ3g0aMA0Ldr96f30SgkVlTW4gGGhAXwZEo0CSfZVuxyutmxNJ/Nv+TiqHeTt6eCpLahKJQKFEoFOmOTb0ATBEEQ/gVNliQ8fPgwEydOZPHixeh0uiYd85FHHuGBBx7wfV5TU0NcXNwZiUk4N/VICeWrO7tz8ycb2FdioXZpHLf1e5IZWc/yawcFlX4VPPrxFF4d9TCeb7wrCkWiUBAEQTjX/HGG8/+LiYmhuLi4CSIShLOP0y3z1pL9lNXaSQo1MmVoa/o0Czu9MTxOPt/zOe9vfx+by4ZSUnJjyxu5u93d+Gn8GvctLaX05VeoWbAAAGVICMpTOEJpZWUt3QL9UCskNAoFrzT3rjTsGWQ64TWyLJOzrYzV8w5QW+E9rzAs3kSva1JRKEViUBAE4ULTZEnCzZs3U1paSocOHXxtbrebFStW8O6772K321Eqlf/KmFqt9qRnHAoXppZR/nx7d0/GfLyBA6UWZiz0546Br/DJgUfZ1MxBtdHKpM+e47/XPYD7W++5LCJRKAiCIJxLtFrtcY9Z2bdvH2Fhp5cEEYTzic3hRq2UUCkVaFQKnrsync2Hqri9bzJa1ek9owC8sfkNPtvzGQDtw9rzeLfHaR7cvFEf2eWiavaXlL39Nh6LBSSJoBtuIOy+iSj9/U849v66ep46UMDSylqeS4vh1ljvv92TJQcBqorrWDFnH/l7vUVJjIFaug9LplmXSCRx5qAgCMIFqcmShP3792fnzp2N2saOHUuLFi14+OGHTztB+E+NKVzYYgL1zLuzO7d+uolNh6p4a4GCCYPeYU7+ZPbH1PDCdU4mz3uZL4bcw9ffwzUytOolEoWCIAjCuWHo0KE888wzfPXVV4C3kFdeXh4PP/wwV111VRNHJwhNY+X+Mh79bidjuidya+9kAHqkhtLjL5w9+IfRrUazNG8pd7S9gytTr0QhHbtKr/iZZzEf+beoa9OGyKeeQp/e+oRj1rncvJZbwof5pbhkUEsS1U73KcdUU1FP/t4qlCoFGZfG02FgAmqteF4SBEG4kDVZktBkMpGent6ozWg0EhIS4msfPXo0MTExTJ06FQCHw8GePXt8fy8oKGDbtm34+fmRmpp6SmMKwukKNGj4/NauTJyzlUW7S3j1pypu7vUGa21PUkgBU0bKTJ73Fot73MKcHyWuk2Va945p6rAFQRAE4U+99tprXH311YSHh2Oz2ejbty/FxcV0796d559/vqnDE4R/VVWdg+d+yuSbLfkAzN6Qx809ElGd5rZbWZaZnz2fvZV7ebjLwwBEGiNZMHwBKsWJH7+CRo6k9rffCJswgcBrrkY6wQIHWZZZUFbNUwcKKLQ7AbgkxJ8pqTEkG068O0qWZcwlVoIivZWNE1qH0G1YMqkdwwkIM5zW1ygIgiCcn5q8uvHJ5OXloVA0/Ee5sLCQjIwM3+evvvoqr776Kn379mXZsmVNEKFwodCplbw3siMv/JzJR6sOMnNVGZe0fgr/gHfYy06evUHBxB8+JjOthtk/yVznkmnb78QV5wRBEAThbBAQEMDixYtZvXo127dvx2Kx0KFDBwYMGNDUoQnCv0aWZRbsKGLKj7sptziQJBjdLYHJg1qcdoIwvzafZ9Y+w9qitQD0j+9Pp8hOAI0ShLIsU/PjjzgLiwi98w4AdM2bkfr7UhR/cgzSCzlFvJNXCkC8TsPzaTFcEhpw0mvK8mpZOXcf5QUWRk7phjHAe4+OgxJP6+sTBEEQzm+SLMtyUwdxtqmpqSEgIIDq6mr8T3L+h3Bh+mrjYR77fidOt0yraD8ik+ezseJXJFlm7K8e6v0upSp8GNf1ShQTL0EQBOEfcabmKrNmzeK666475mxmh8PBnDlzGD169N8N9YIg5o7nrqJqG49/t4sle71Jt9RwP166qg0dE4JPaxyXx8UXmV/w323/xeayoVVqubv93YxuNfqY1YOO/AKKn36aulWrQKEg6dtv0LVoccr3yrTYGLJlP3fGhXFvfAT6kyQy7TYX677PZveKAmQZVBoFA29LJ7HNX986LQiCIJx7TnWuIpKExyEmesKf2XCwkjs/30xlnYMwk4au7bezvPxTAK5Y5yGpoj27W43lunZJdBuWjCSJw58FQRCEM+dMzVWUSiVFRUWEh4c3aq+oqCA8PBy3+9TPN7uQibnjuSuruJbL31kJwPh+qdx1UcppFybJqsziqTVPsbtiNwCdIzvzVPenSPBPaNRPdrup+vxzSt98C9lmQ9JoCB0/npBbxiKp1Scc/9fyarLq6rk3IcLXZna6CFSfeFOYLMsc2FzKqq/2Y61xAJDWKZweV6XiF6Q7ra9PEARBOPed6lzlrN5uLAhnqy5Jwfwwvie3frqJrJJafl3bmss6P8xS80v82E1Bx/3bGLThVWZzL067m97XpokqcYIgCMJZR5bl476RlZ+fT0DAybcvCsK5ymJ34af1PgY1jzTxwvA2tI8LJC3i5NWAj8fpcXLP0nsorivGpDbxYOcHGZ46/Jh/V/VZWRQ9/gT1R4osGjp1IvLZZ9AmJZ1w7MJ6B4/tL+CX8mqUEvQP8aeVnx7g5AlCj8xP7+/g0M4Kb98IA31vaEZsi9NbHSkIgiBceESSUBD+orhgA9/c3YP75mzjt8wSflgbxKXtX2ST/Uk2pzkoDcxn3K/P8bV8H47PnFx8U0sUp3mujSAIgiD8EzIyMpAkCUmS6N+/PypVw5TQ7XZz8OBBBg0a1IQRCsKZ5/HIfLH+EC8vyuLL27qRHuNNhF/TKe4vj6lWqHmo80P8cvAXHunyCGGGsGPva7ORN3oM7upqFH5+hE+e7C1Mojj+vNAty3xaUM4LOUVY3B5UEtwZF06CXnNKMUkKicAwA4dVlXQclEjHgQko1WIOKgiCIPw5sd34OMSWEeF0eDwyr/yaxfvLsgHomqKnWD+VSncxfjaZ8QuUbGlzNwOSujPwlnSUKjFJEwRBEP6evztXmTJliu/jpEmT8PPz872m0WhITEzkqquuQqM5taTEhU7MHc9+BWYbD83bzuoD3tV1I7vG8/zwNqc9jsPt4P3t79M8qDmDkk49kV45ezZ1a9YQ+cSTqCPCT9gv02LjwazD/2PvvsOjqtIHjn+nl0x6D0kgofcuIBYQFBX3p65rRXHtulhQdy1r39XFtmsXWV3F3bV3cW2IgA2R3kuAkJCQ3mYyfebe3x8TBmJCSMhAEvJ+nuc+t505c+YCycs7p7DK7gJgTIyVJ/pnMbChB+HB7N1Ri8VmCK9c7PMEcNX5iEuVVYuFEELInITtIoGeOBwfrSnizg824AsoZCWYiMt8j93+n9AqKpcvVKlLmsHwfmfyf9cORW9s21w3QgghxIEiFau8/vrrXHjhhZjNMkdZe0js2Hmpqsp7K4v4y2ebqfcGMBu03H3GQC4b3xNtG6eC2Vy1mXt+uIcdtTuINcXy+W8/J8bY9M9b8XqpePZZbCecQNSECeF2HGqOaldQYcyyTVT7g9h0Wv6cm87veyShbeF1Hqefnz7cwZYfS0jvE8u5t42SKW6EEEI0IXMSCnGUnTsyk5wkG7PeWM2eajcVjnMYPqAfmwPzeW2ahlNXv8HuVSW88/zlnP+HERjN8s9PCCFEx7r88suB0GrG5eXlKIrS6H52dnZHNEuIiCize7jrg/Us3lYBwOie8Tx5/nBykqLaVI9f8fPK+lf45/p/ElADJJgTuH/8/c0mCN3r17P3rrvx7dqF44svyf3ic7QmU6sWsbPqtNzeK43vaxz8rW8mGeaWe/LuXFPOd29tDy9MEp9qJRhQ5MtoIYQQh016EjZDvg0W7VHj9DH7nbUs3R4KSEf2drFD9zfQBRhUoHLKpkHoh9/ExTeOwxojw7iEEEK0XaRilby8PK688kp++umnRtf39XqS1Y1bR2LHzunfy3Zz/yebMOq1/PG0flx1Qi66Nvayy6vJ454f7mFL9RYATu15KveOv5cEc+NFQBSfKhjqsAABAABJREFUj8oXXqTqlVcgGESXnET6Q38h+pTJB63bHgjy0I5i/i8lnpMTQoum7PuvWUtJRZfdx3dvb2Pn6lCsGZdqZfKlA8joG9emzyaEEKL7kOHG7SCBnmgvRVF5fvEOnvpmO6oKPZO11Mf8A5+xlORalRlLknANvI2Zt04lNlnmihFCCNE2kYpVJk6ciF6v56677iI9Pb1JYmL48OHtbWq3ILFj56QoKn/5bDMzxmUf1srFpc5Spn84HZ/iI9YUyz3j7uH0Xqc3Xbl482b23nU33u3bAYg56yxS7/kz+vj4g9a9qMrOH7ftocTrp5fFyA/HDUTfigRmVXE9H/1jNV5nAI1Ww6jTshkzvRd6g/QeFEIIcXCSJGwHCfREpHyfV8Etb6+l2unDZtISnf4h9ZafMfhVLl1iQJdwA5f88WKSs9seuAohhOi+IhWrREVFsWrVKgYMGBDB1nU/Ejt2Dr/kV/Pct3nMu2w0VmNkpnV5+OeHKXOWcf+E+5tdudibl8euc38LgQC6hATSHniAmGmnHbS+On+AB3bs5e3SagByLEaeGpDN+DjbQV9zoGBQ4b05K9Fo4JSZA0nOkhhSCCHEoUmSsB0k0BORtLfWzaw3V7OmsBaAXplbqbT9G41GYdI6hf415/B/f7qN7EGJHdtQIYQQXUakYpWxY8fy1FNPccIJJ0Swdd2PxI4dyx9UeOabPF5csgNFhT9M6s0dpx9e4vvzXZ8zMmUk6bb0UN2KH71Gf9Dhv6qqUnzzLaDVkvbA/egTEpotB7Cwso4/bSui1OdHA1ybmcyduelYddqDvkZVVLb/UkqfMano9KFy9TVeLDEGdC28TgghhDiQJAnbQQI9EWm+gMKcL7bw2o+7AeiR6KUu9mk0php6lqmcuXYwk294lIEn5nRsQ4UQQnQJkYpVvv32W+69917+9re/MXToUAwGQ6P7Ege1jsSOHSe/0snst9ewrqgOgN+NzuTB/xuMzdS2noR2n51Hfn6Ez/M/Z0zqGF457RV02qZDeFVVpe6DD4ieOhVdXBwQmo9QYzC0OI/gyjonZ63OA6C3xcTTA7MZG9vyAip1FW6+/fcW9ubVMnZ6L477TW6bPpMQQgixj6xuLEQnYtRreeA3gxndM567PthAcRVYHHdhTPyAgtRfmH/yJlz/nIl975OMu3BcRzdXCCFENzF16lQApkyZ0ui6LFwiOjtVVXlvZREPLtiEyxckxqznb78dylnDMtpc16qyVdz9/d2UOEvQaXQcl34cKk37UQQqKym5517qly6l/vsf6PH0U2g0GrTGQy9ENzrGylnJsWSZjdyRk46lpd6Dqsqm7/fy4wc7CHiD6E06rLGmNn8uIYQQoq0kSSjEUXTWsAyGZ8Yx+521rCqowV3yW+LcQ3Gl/JfXp9ZS8uN11BbeyWl/vKjFb6OFEEKISFi8eHFHN0GIwzJ36U4e/3IbAONyEnjqwhFkxFnaVIdf8TN37Vz+tfFfKKpCpi2TR096lOHJTRfscSxeTMk99xKsrkZjNGIdNbLFuu2BII/nl3BbrzQSDKHhyv8c3AvtIeI7R7WHxf/dyp7NoTkLM/rGccrMgcQmt+2zCSGEEIdDhhs3Q4aMiCMtEFR4cclOnlmUR1BRsZq9qKmvorcW0H+Pyu8qz+Z3T/xFVqoTQgjRLIlVOhf58zj6yuwefvPcD/x+Yi+uO6k3ulasDNzo9c4yZi+ezcaqjQCc3fts7h53N1GGxkOAFbebssceo/btdwAw9etHxhNPYO7f76B1/1jj4OYthRR7/ZydEse8wb1a1aaCjVV8/a9N+NwBdAYtE87pzbDJmWja+NmEEEKIX5PhxkJ0Ynqdlpun9OWEvknMfnsthdWgKbwec/wStmYu5NnETyj5wzqufWg+URlJHd1cIYQQx5D169czZMgQtFot69evb7HssGHDjlKrhGiZoqj8tLOKE/qG4qLUGDNL/jTpsFcxjjHF4Al6iDHGcP+E+5nWa1qTMt5d+RTNmoUvPx+AhMsvJ/m2W9Gamh/66wkqzMkvYd6eCgB6mo1c1aP1cVxsigUlqJCaE8OUywcSn9bynIVCCCFEpElPwmbIt8HiaKr3Bnjgk018sLoIAKNpL4bMN9Aaqzh5o5E/nvYPep16cge3UgghRGfSnlhFq9VSWlpKSkoKWq0WjUZDc+GgzEnYehI7HlnVTh+3v7uWxdsqmDtjFGcMTT+sejwBD0adEa0mNB9ggb0Ak85EWlRas+WDdXXsOudcCAbJeHQOUccff9C6Nzhc3LilkG1ODwCXpifyUJ8MovQtjwqpLHKQlBkdPi8vsJOUaUMrKxcLIYSIIOlJKEQXYTPp+fsFw5nUP5l7PtqA3ZNBIP9WDMmfs2TwMvI2zGL2+t9x+m0PyDyFQggh2i0/P5/k5OTwsRCd2S/51dz81hpK7R5Mei1O3+ElrnfW7uSPS//ImTlncs2wawDoGdOzSbmgw4HWZkOj0aCLjSXrxRfQp6Whj48/aN1fV9Zx1cbd+FWVZKOef/TP4tSk2Bbb43UH+O7tbWz/pYxzbxtJRt9Q/Sk9JckshBCi48hXVEJ0Er8ZnsGXs09iQm4iiqLHW/Z/ePOvp8iWzN3x7/PIn8/EX1Pd0c0UQgjRxfXs2TP8pVPPnj1b3I6URx55hOOPPx6r1UpcXFyzZQoLC5k+fTpWq5WUlBT+9Kc/EQgEGpVZsmQJo0aNwmQy0adPH+bPn9+knhdeeIFevXphNpsZN24cv/zyS6P7Ho+HWbNmkZiYiM1m47zzzqOsrCxSH1UcJkVRef7bPC765zJK7R5yk6P4eNZEfjc6s031qKrKR3kfcdFnF7GjdgfvbHsHl9/VbFnnzz+z68zp1H34YfiaeeDAFhOEAONio0g26pmeHMuSsQMOmSDcm1fD239dzvblZWiAyqL6Nn0mIYQQ4kiRJKEQnUhGnIU3rh7Hw+cMIcqow+/tiSt/Nu7ak3m7fzGXvTiFgl9kJUohhBBdm8/n4/zzz+eGG25o9n4wGGT69On4fD5++uknXn/9debPn8/9998fLpOfn8/06dOZPHkya9euZfbs2Vx99dV89dVX4TLvvPMOt912Gw888ACrV69m+PDhTJs2jfLy8nCZW2+9lQULFvDee++xdOlS9u7dy29/+9sj9+HFIVU4vFz+2i88+fV2FBV+O7IHC248gYHpbetl5/Q7+fMPf+b+n+7HE/QwIX0Cb5/1NlaDtVE5NRCg/JlnKLziSgIVFdS8/Q6qohy0XlVV+b7aER6mH2vQ8+XofrwyuBeJLcyRGAwoLPt4Jx/9Yw311V5iksz89k+jGTY5q02fSwghhDhSZE7CZsi8MqIzKKpxcfeHG/g+rxIAnakQU4/3iVXK+JP+N5x75SNotJLnF0KI7uhYiVXmz5/P7Nmzqa2tbXT9iy++4KyzzmLv3r2kpqYC8NJLL3HnnXdSUVGB0Wjkzjvv5H//+x8bN24Mv+6iiy6itraWL7/8EoBx48YxduxYnn/+eQAURSErK4ubbrqJu+66i7q6OpKTk3nzzTf53e9+B8DWrVsZOHAgy5YtY/z48a36HMfKn0dn8dWmUq77zyrMBi1/OXsI54/ObPOUK1urt/KnpX9it303Oo2OG0feyJVDrgzPR7iPv6SE4j/+CfeqVQDEnf87Uv/8Z7QWS7P11vkD3LG9iE/Ka/l7/yxmZCS2qj01pU4WvrqZikIHAAOOT+fEC/piNMvsT0IIIY681sYqkmEQopPKjLfy7yuP4/HzhhFt1hP0ZuPadQtVzincr/+cmx8/haqinR3dTCGEECLili1bxtChQ8MJQoBp06Zht9vZtGlTuMzUqVMbvW7atGksW7YMCPVWXLVqVaMyWq2WqVOnhsusWrUKv9/fqMyAAQPIzs4Ol2mO1+vFbrc32kTkTBucxr3TB7LgxhO4YExWmxOEdp+dK768gt323aRaU3l12qtcPfTqJglCx6JF7DrnXNyrVqGNiiLj70+S/te/HjRBuLy2nlNWbOOT8lp0GnAEWj8/YukuOxWFDkxRek6/dghTZg6UBKEQQohOR5KEQnRiGo2GC8ZmsfDWk5kyIAXQ4as4DVf+jSyKs3Dup+fy+Sf/6OhmCiGEEBFVWlraKEEIhM9LS0tbLGO323G73VRWVhIMBpstc2AdRqOxybyIB5Zpzpw5c4iNjQ1vWVkyXLQ9nN4A93y0gdI6T/ja1Sfm0jc1uoVXHVyMMYbZo2ZzUuZJvP+b9xmVOqpJGe+ufIpuuhmlrg7zkCHkfPQhsdOnN1tfQFF5Ir+Ec9fsoNjrp6fZyIKRfbk+O6XFdhw4YGvAhDTGn5PLxfeNo/eoll8nhBBCdBRJEgrRBaTFmnnl8jE8feEIokx6FG8Grt1/oMR+NndUvc3sZ0+nurq4o5sphBCii1mxYgXLly9vcn358uWsXLmyTXXdddddaDSaFretW7dGqukd6u6776auri687dmzp6Ob1GXtKHdw9gs/8sbyQm55ew2HOxPSHscettdsD59f0P8CnjvlOeLMcc2WN+XmkPSHP5BwxRX0evMNjNnZzZYrdHs5d80O/r67DAU4Py2eRWP7Myo2qsX2FG6u4v1HV+Jx+oHQF7+jT+9FVJzpsD6fEEIIcTRIH3chugiNRsM5I3swsU8S932ykS83luKvHU/AMYQvU75g5Ttnck//WZxxyrUd3VQhhBBdxKxZs7jjjjsYN25co+vFxcU89thjzSYQD+b222/n97//fYtlcnNzW1VXWlpak1WI9604nJaWFt7/ehXisrIyYmJisFgs6HQ6dDpds2UOrMPn81FbW9uoN+GBZZpjMpkwmSTZ017/W1/CHe+vw+kLkhpj4k/T+rd5aDHA0j1LufuHu4kxxvDOWe8Qa4oNJaZpXFf99z9g7JkdTggm3zjrkHUXe/2ssjuJ1ml5vH8W56a2vNJxMKCw/JNdrFlYCMCqL3Yz8Xd92/yZhBBCiI4gSUIhupjkaBMvXTqaH/Iq+MNba7C7bHhKzqfEMobbte/yZd7/eOCSf5IQnXroyoQQQnRrmzdvZtSopkMxR44cyebNm9tUV3JyMsnJyRFp14QJE3jkkUcoLy8nJSU0NHPhwoXExMQwaNCgcJnPP/+80esWLlzIhAkTADAajYwePZpFixZxzjnnAKGFSxYtWsSNN94IwOjRozEYDCxatIjzzjsPgG3btlFYWBiuR0SeP6jw6Bdb+dcP+QCMz03guYtHkRzdtsRrUAnywtoXeHnDywDkxObgDXqblFODQSpfeIHKuS9hGjiAXm+9hbaFJK+qquFk5YQ4G08OyOKEOBvZlpbbV1fh4utXNlFeEFqcZMjJPRj3f61LjAshhBCdgQw3FqKLOqFvMiv/PJUzB6WBFoLuHFz5N/N53UDO+u9v+N/Prx/2kB0hhBDdg8lkatLTDqCkpAS9/sh9l1xYWMjatWspLCwkGAyydu1a1q5dS319PQCnnXYagwYN4rLLLmPdunV89dVX3HvvvcyaNSvcg+/6669n165d3HHHHWzdupUXX3yRd999l1tvvTX8Prfddhsvv/wyr7/+Olu2bOGGG27A6XRyxRVXABAbG8tVV13FbbfdxuLFi1m1ahVXXHEFEyZMaPXKxqJtquq9zHh5eThBeP3JvfnvVePanCCs9lRz3TfXhROElwy4hPnT5pNibTzfX6CqisKrr6byxbmgqliGDWux3q1ON9NX57HTtX9+xEvSEw+ZINy2vJR3HllBeYEDk1XPGdcN5eSL+6M36tr0uYQQQoiOpFEli9BEa5eGFqKzWLq+lOu+2IinJvTtuUZfhynlc46PquHBc58jO0G+xRZCiGNJpGKViy++mJKSEj755BNiY2MBqK2t5ZxzziElJYV33303Uk1u5Pe//z2vv/56k+uLFy9m0qRJABQUFHDDDTewZMkSoqKiuPzyy3n00UcbJS+XLFnCrbfeyubNm8nMzOS+++5rMuT5+eef54knnqC0tJQRI0bw7LPPNhpe7fF4uP3223nrrbfwer1MmzaNF198scXhxr8msWPr1XsD/PbFHymp9fDkBcOZNrj1z3mfDRUbuHXJrZS5yrDoLTww4QGm5zZddMS1ejXFs28lUF6OxmIh/S8PEfub3zRbp6qqvFVazT3bi3ArKpMTonlreO9WtWfj0iKWvhWaDzG9TyynXjmY6ARzmz+XEEIIcaS0NlaRJGEzJNATXVG93cslb65mQ0k1asNIG62lAFvS51zffzxXT74Do87YsY0UQggREZGKVYqLiznppJOoqqpi5MiRAKxdu5bU1FQWLlwoq/a2ksSObVNQ5SSoqOQm2w7r9TcuupGlRUvpFdOLpyY9RZ/4Po3uq6pK9fzXKX/ySQgGMebmkvnsM5j69Gm2vvpAkDu3F/FBWQ0Ak+KjeW5QNslGQ6va43H6eW/OCvqPT2fMGT3R6mSwlhBCiM5FkoTtIIGe6KqCQYWnP9rC8xWVaArqUAgNcdFHr6NX0o88fMafGZ89sYNbKYQQor0iGas4nU7eeOMN1q1bh8ViYdiwYVx88cUYDK1LkAiJHVsSCCrM+WIrKdEmrju5dT3zDqXWU8vza59n9qjZ2IxNE42Kz0fBJTPwbNxIzPTppP/lIbRRza9GvKnezbUbd7PT7UWngTtz0rkxOwVtCwuoqKrKni3VZA1MCM9d6PcFMcjQYiGEEJ2UJAnbQQI90dX9uKyI23cUUVFeS7A8ABoNaAIY4n9kem8n9575EEmWpI5uphBCiMMksUrnIn8ezatx+pj15mp+2lmFTqvh29tPpmdi88m6llS5q/hy95fMGDij1a/x791L/XffE3fhBQddMXllnZPz1u7Aq6ikmwy8NKgn4+Ja7t3odQdY/J+t7FxdzuRLBzDohIw2fRYhhBCiI7Q2VpHVjYU4Bk2ckMmCrFju/Xwrn+WqJKwpwOGz4q8+mU/q6vm24F7unHICFw29GJ1WvvUWQoju5NNPP+WMM87AYDDw6aeftlj2//7v/45Sq8SxZkuJnWv+vZKiGjdWo45/XDD8sBKEm6o2MXvxbEqdpZh1Zs7rd16z5RyLF+PN20HStdcAYMjIIP6iC1use3i0laE2C3EGPc8MyCbR2PJ/jSoKHXz58kbsFW60Wg0Bv9LmzyOEEEJ0ZtKTsBnybbA4Vvg8AV5/ZwvPxHhwO+qJ2liCXRuamF5rLCc7bSVzzrmMCRmygqMQQnQl7YlVtFotpaWlpKSkoNUefO40jUZDMBhsb1O7BYkdG/vf+hL++N463P4g2QlWXp45hv5p0W2uZ8HOBTy07CG8QS+9YnrxzCnPkBvbeDE2VVGofHEulc8/D0D2/NeIamFl6l0uL1lmIwZtqHdhnT9AtF53yOHFm77fyw/v5hEMKNgSTEy7eghpubFt/kxCCCFER5CehEIIjGY9V88cwoglRfy1ophfpg0kZ8VWaqp1eHwp7C48kxnzNjC69/944uyr6BXbq6ObLIQQ4ghTFKXZYyEi4amF23lmUR4AJ/ZN4rmLRxJnbdvCaQElwFOrnuLfm/8NwEmZJ/HoiY8SbWycaAza7ey9407qlywBIP6SS7COGnXQej8oreaP24q4vEciD/bpAUCsoeX/DvncARa/sZUdK8sB6DUsiSmXD8QcJXN2CiGEOPbI0ltCHOM0Gg1jJ2fxz1MHcsU6L+XD++M5MZMhgZ3oVQ+KN4MVm8cz5akvuOnT56jz1nV0k4UQQhwFfr+fKVOmkJeX19FNEceQRFsoIXjtSbm89vuxbU4Q1nnruOGbG8IJwmuGXsNzpzzXJEHozctj9/kXUL9kCRqjkfS//Y20++9DY2z6fl5F4c5te5i1pRC3orCl3oNfad1gqsoiBztWlaPVajj+vD6cecNQSRAKIYQ4ZklPQiG6ibScWB64djRD/r2Jl2L0rJx+EtmFe+jzyxp+jh5M0JPNgp/g67VvcMXJyfzxxHPRa+VHhBBCHKsMBgPr16/v6GaIY8zMCb0Y0iOWUdnxh/X6jZUbWV6yHIvewsMTH+a0Xqc1KWP/+mv23nU3qsuFPj2dzGefxTJ0SLP17fH4uGbjbtY6XADc2jOVP+akoWthePGBMvrGc+IFfUnpGSPDi4UQQhzzpCehEN2I2WbgkuuH84/EZM7+xUlZWg++PW8642JLGV+3HA0BvK6evPSFlZGPvcyrKxcj05YKIcSx69JLL+Vf//pXRzdDdGHr9tRy8T9/ps7lD1873AQhwMQeE7lvwn3854z/NJsgBFCcLlSXC+v48eR88P5BE4TfVNk5dcU21jpcxOt1vDEslztz01tMEAZ8Qb57ezu15a7wtWGTsyRBKIQQoluQhUuaIZNPi+6gdFcd77+xmXdydeRlGIlyu7j2q8/4Pqhjo20sEFr1OC62jFumDuD3YyagaeW37kIIIY6sSMUqN910E//+97/p27cvo0ePJiqq8eqz//jHP9rb1G6hu8aOC9bt5Y/vrcMbULh0fDYPnzP0sOp5f/v7TMiYQA9bj1a/xrFoEbaTT0ajb37UQ40/wNhlm6kPKoyItvLykF5kmVse+lxX4eLLf26kck89SVk2Lrh7LBqtxD5CCCG6vtbGKpIkbEZ3DfRE9+NzB1jy1lbeL6/l65FWPEYt/YsKuO6LD3glLZddxlHsSxbGxtQwe8pALh87Cq0EzEII0aEiFatMnjy5xfuLFy8+7Lq7k+4WO6qqytPf5IUXKDllQArPXDSCaHPb5urzK34e++Ux3tn2Dn3j+/LGmW9g0VualPMVFVP28MOkP/Iw+sTEVtf/cVkNP9c5eahPBqYWVvIGyF9XwTfzt+BzB7BEGzj1qsFkDUho0+cRQgghOitJErZDdwv0hNi2vJQFH23nkyFm8noY0SgKV274hbHfLuC5fsPYaTgO1NC37zE2Jzef0p/fjxuKXiczFgghREeQWKVz6U5/Hh5/kNvfW8f/1pcAcM2JOdx1xkB0bfwCsc5bx+1Lb2d5yXI0aJg9ejZXDL6iyagF5/JfKL7lFoK1tURPm0bmM08ftM5N9W7cQYUxsVEHLfNrSlBh+YJ8Vn9ZAEBabgzTrhmCLd7cps8jhBBCdGatjVXkf/hCCPqPS+Oa28dwc7GWs3+uxxSAfw0fz22z7uf6+HieWfF3ctVFoPVgr4/i4U+LGPHIx7y4dAMuX6Cjmy+EEOIwXXnllTgcjibXnU4nV155ZQe0SHRm5Q4PF85bxv/Wl6DXanjsvKHcM31QmxOE+XX5zPh8BstLlmPVW3lm8jNcOeTKJgnCmrfeovCqqwjW1mIePJjUu+86aJ0fldVw1qrtXLExnxKvr1Xt8Dj9fPrsunCCcNgpmZxz2yhJEAohhOi2pCdhM7rTt8FCHCgYVFjxWT5LlhTy5cgotmaFeg8OcTt49NsFFKz+hufGH0+B5kTUoA0AkyHABWN7cMNJg8mIazpESAghRORFKlbR6XSUlJSQkpLS6HplZSVpaWkEAvJFUGt0l9ix3OHh3Bd+wukL8NKloxmf2/qhv/v8XPIzty25DYfPQXpUOs+d8hz9E/o3KqP6fJQ+8jdq33kHgJizziL94b+iNTdN3gUUlb/u3Mu8ogoAJidE8+KgnsQbmp+r8EDBgMJHf19N1V4np1w2gL5jUtv8eYQQQoiuQIYbt0N3CfSEOJjibTV88/pmVpsUvhxtpS4qNC/hFfWVXPnuv1ldtpYXxo9nj3oCqj/0HwSNRmXygDhumjyYke1Y1VAIIcShtTdWsdvtqKpKfHw8eXl5JCcnh+8Fg0EWLFjAXXfdxd69eyPZ7GNWd4od88ocGHRaeiW1fkjvPqqqcunnl7K+cj0jkkfw9OSnSbQ0TjQGamoovulmXCtXgkZDyu23kXDVVc0unlbh83PdpgJ+qq0H4JaeqdyRk9bi6sWqqoJKeEESR7UHvzdIQnrbP48QQgjRVUiSsB26U6AnxMH43AF+eD+PdT+X8N0QC8v7m1E0GmxaDU+U5zP0X/NYEyzgX+MHk2c4kaCrd/i1gzIs3HDyAE4fkoZB5i0UQoiIa2+sotVqW1yxXqPR8NBDD3HPPfe0p5ndxrEcO767Yg96nYbfjsqMSH3lrnJe2/gas0fPxqQzNbkfrKtj94UXEaisJOPJJ4ieNKnZelbbnVy9cTd7vX6idFqeHZjN9OS4Ft874A/y3VvbsUQbmXBu7xbLCiGEEMcSSRK2w7Ec6AnRVrs3VLL4v1vZpQny+ZgoihNDw3dGWU08nrcG079eYbO2hNcn9GB91IkE7CNADZVJitYzc3wuF47NIjVG5vcRQohIaW+ssnTpUlRV5ZRTTuGDDz4gIWH/Kq5Go5GePXuSkZERySYf047F2FFVVf7+9XaeX7wDg07DZzedSP+06DbX4w16+aH4B6ZkT2n1a3y7d6MGApj69DlomRs3F/B+WQ29LSZeHZpD/6iW4wxHtYcv522gvMCBRqvhkgfHEZdibXWbhBBCiK5MkoTtcCwGekK0h8fp57u3t7NtZRmre5tYPNyKR69BC1yeFM0fVv6A+5WXyTNU8daEGH5JPB5/zTjUYOg/E1oNTB2YyiXjsjmpbzLaNk5wLoQQorFIxSoFBQVkZ2e32KtQHNqxFjt6A0H+9N56Pl0XGm5+8yl9uPXUfm3+e1LtqeaWb29hbcVaHj/pcc7IOaP5cm++iUarJf6ii1pdtzMQ5PH8Um7PSSNGr2uxbPH2Gr56eSNuhx9TlJ5pVw8ha2BCi68RQgghjiWSJGyHYy3QEyJSdq4uZ8mb26gIBPhmZBQbs0MLm8TqddyRGsNZ335J7auvkm+y897xRn7MGIa/dhxBd064jsx4Mxcf15Pzx2SSEi29C4UQ4nBEMlb5/vvvmTdvHrt27eK9996jR48e/Oc//yEnJ4cTTjghQi0+th1LsWON08e1/1nJit016LUa/vbboVwwJqvN9eTX5fOHb/5AUX0R0cZonp70NMelH9eojBoIUPboY9T897+g05Hz4QeY+/dvtr5qf4A39lZxY3ZKq5OVqqqy/tsifvxgB6qikpRl44zrhhKTJAutCSGE6F5aG6scetkvIYRo0HtUCul94lj61jail1UwaoeeRcfZKLbBPcU1zB95Eg+/O51RH71Pr//8h0uNK/l87GoWDkzH6TgOf90oimrgia+28dTC7Zw6KJULx2ZxYt9kdNK7UAghjroPPviAyy67jBkzZrB69Wq8Xi8AdXV1/O1vf+Pzzz/v4BaKo2l3pZMr5q8gv9JJtFnPS5eOZmKfpDbXs6J0BbMXz8bus9PD1oMXp75IbmxuozJBh4PiW2/D+cMPACTffDOmfv2arW9LvZvfb8inwOMD4KaerVuFeMmb29j8fag3ZL9xqUyaMQCDseVeh0IIIUR3Jj0Jm3EsfRssxJGgqip5K8v44d08nPV+1uaa+G5UFI6GNUqmJcXwQJyZqLffoOatt3EoLhaO1PD52Cgq/YPw1Y5DcfcM15cSbeLckT04b3Qm/VLbPt+REEJ0N5GKVUaOHMmtt97KzJkziY6OZt26deTm5rJmzRrOOOMMSktLI9jqY9exEjs+/20eT369nR5xFuZfMZa+h/E7ecHOBdz/0/0ElADDk4fz7CnPkmBuPLTXV1TEnuuvx7djJxqzmYzHHiNm2mnN1vdlRR2zthTgDCpkm428PjSHgbbW9QTcvqKURa9tYeL5fRg6KVOG1QshhOi2WhurdJplRx999FE0Gg2zZ88+aJlNmzZx3nnn0atXLzQaDU8//XSTMnPnzmXYsGHExMQQExPDhAkT+OKLL45cw4XohjQaDf3GpnHJA+MZND6NUTu9XPdxDRN3+9EBX1XambSzgpd/O4PUr7+m15V/4LxN0cx9vp5bfljBoNiXseY8jSH+JzQ6F+UOL/O+28VpT33HWc99z2s/5lNV7+3ojymEEMe8bdu2cdJJJzW5HhsbS21t7dFvkOhQsyb34bZT+/HRrOMPK0G4pWoLf/7hzwSUANN6TeOV015pkiB0rV7D7vMvwLdjJ/qUFHr+97/NJghVVeUfu0v5/cZ8nEGFiXE2vhjd75AJwoA/GD7uNzaNSx4az7DJWZIgFEIIIVqhUyQJV6xYwbx58xg2bFiL5VwuF7m5uTz66KOkpaU1WyYzM5NHH32UVatWsXLlSk455RTOPvtsNm3adCSaLkS3ZrYZmHL5IP5v9ghS48ycstzBNZ/XMsQJPlXl+cJyJm7dy0fnXkj2NwtJn30bU4rjefwlDw98VMzx/i+w9XkEc4//oLdtAk2QjcV2HlqwmXF/W8TVr6/kiw0leA4I+IUQQkROWloaO3bsaHL9hx9+IDc3t5lXiGPNlxv3/57VaDTcPKXvYc8ZPDBxIFcNuYorBl/B4yc9jlnftB73mtUEa2owDxpEr/fexTJkcJMyzmCQazbt5vH8UE/WK3sk8fbw3iQaDz5TkqqqbFhSxJsPLsdZt/+LxthkmX9QCCGEaK0OH25cX1/PqFGjePHFF3n44YcZMWJEsz0Ef61Xr17Mnj27xZ6H+yQkJPDEE09w1VVXtapNx8qQESGOpoAvyIrPd7P260KCikp+LzPfjYtmD6H/eGSZjdyVk8bZMWbs779P1b9eJVBWRmkcLDrOxLcjddQpegL2EQTqRhH0ZIbrjjLqOHVQKtOHZXBSvyRMh1jFUAghjnWRilXmzJnDf//7X1599VVOPfVUPv/8cwoKCrj11lu57777uOmmmyLY6mNXV4wdVVXlHwu389y3O5g2OJUXZ4w+rPmBXX4XfsVPrCk2XG9LvfZUVaX2nXeJ/b/foLVamy2z2u7k7NWh5PWj/TKZkZHYYhuCAYXv3tkenn9w3P/lMObMnBZfI4QQQnQnXWbhklmzZjF9+nSmTp3Kww8/HNG6g8Eg7733Hk6nkwkTJhy0nNfrDU/UDaGHJ4RoG71Rx4RzetN3TCqL/7MFzW4HvQo87BwTy6K+RvZ4fMzaUsiLNjP3Tj+Hky68EPunn2Kc/zozvt7J+d/CsoFaFk3ayNacnwh6UwjUjUJ1jMbpi+bjtXv5eO1eos16ThuUxlnD0pnYJwmjvlN0iBZCiC7prrvuQlEUpkyZgsvl4qSTTsJkMvHHP/5REoTHMH9Q4a4PNvDB6iIABqTFcDjrh1W5q7jp25vQa/W8fNrLmHSmJglC1e+n6pVXiL9sJjpbFBqNhviLLmyx3lExUfxjQBbZZiPj4mwtlnXZfXw5bwMlO+tAAxPO6c3I07Lb/mGEEEII0bFJwrfffpvVq1ezYsWKiNa7YcMGJkyYgMfjwWaz8dFHHzFo0KCDlp8zZw4PPfRQRNsgRHeVlGnjvDvHsGFxEcsX7KLvijp6rYH8qSl8nqCwqd7Dxet3cUKcjXunTWf4eefh/PFHql+bz8k//cTJG6rZlQrfTvWxNHsRnuSvMLizCDpGoHGOwuEx88HqIj5YXUSsxcDpg9M4fWgax/dOlB6GQgjRRhqNhnvuuYc//elP7Nixg/r6egYNGoTN1nJiRnRd9d4AN/x3Fd/nVaLTanjknCFcdFzbk2oF9gJu+OYG9jj2EGuKZY99D33i+zQqE3Q4KJ59K84ff8S9bj2Zc188aC/Dj8pqGGgzMyAqNDz4/LSEZssdqLzAzhcvbaC+xovRoufUKwfRa2jbV2MWQgghREiHDTfes2cPY8aMYeHCheG5CCdNmhSR4cY+n4/CwkLq6up4//33eeWVV1i6dOlBE4XN9STMysrqUkNGhOiMnHVeln24k23LQ3MKBWMNbDs9mQUaL76GHz3Tk2P5Y680BtoseLZtp/rfr2P/dAGq34/TBMuOj2PpcVa2actRVQ1Bd0/0zuMIOobh8u7/niPKqGNS/xROHZTK5P4pxFoNHfKZhRDiaOiKw1uPZV3lz6Pc7uGK+SvYtNeOxaDjxRmjmDwgpc31rKtYx02LbqLGW0MPWw/mTp1LTmzj4b3+vXvZc931ePPy0Fgs9Pj734k+ZXKTuhRV5fH8Up4uKCPbbOTrMf2IMxy6H0PxthoWPL+OoF8hLtXKmTcMJT4tqs2fRQghhOgOWhurdFiS8OOPP+bcc89Fp9vf8ycYDKLRaNBqtXi93kb3fq0tcxJOnTqV3r17M2/evFa1rasEekJ0FXt31PLd29upKqoHQNPHxqoTE/jcVc++H0C/SY7jtl6pDLRZCFRWUvPmW9S89RbBmhoACtP0/DQ9m8XpNdQEHaGEoSuHGN8k3PY+2F37hx3rtRrG5SZw2qA0Th2USkacTFouhDi2RCpW8Xg8PPfccyxevJjy8nIURWl0f/Xq1e1tarfQFWJHVVU5+4UfWV9UR2KUkVd/P5bhWXFtrmdx4WLu+O4OPEEPgxIH8cKUF0iyNO695960iaLrbyBQUYEuOYmsuS8ddIGSm7cU8r+KOgBuzE7hz7npaFuxErHPHeD9x1YSk2Th1KsGY7J0+CxKQgghRKfV6ZOEDoeDgoKCRteuuOIKBgwYwJ133smQIUNafH1bkoSnnHIK2dnZzJ8/v1Vt6wqBnhBdjRJU2PT9XpZ/uguvKwCA9cQUvh9k4fNaR7jcgclCxePB/uWX1L71Nu516wAIaGH9xDS+PyGOnzX5BNUgqqoBbzYp6hRctX0prW38n4tB6TFM6p/MpP4pjMqOQ6+TeQyFEF1bpGKVGTNm8PXXX/O73/2O1NTUJkNBH3jggfY2tVvoKrHjqoIa7vloA/MuG03PxLb3uvts12fc88M9KKrCiT1O5MmTn8RqaLz4iGPxYopv/yOqy4Wpb1+y5r2EISOjSV0lXh+Xr89nfb0bg0bDk/2zuDC95SHGAV8QnUEb/nvqsvsw2wxoD2dCRSGEEKIb6fRJwub8erjxzJkz6dGjB3PmzAFCw4g3b94MwJlnnsmMGTOYMWMGNpuNPn1Cc6DcfffdnHHGGWRnZ+NwOHjzzTd57LHH+Oqrrzj11FNb1Y6uEugJ0RW5HT5+/ngnm38qARX0Jh0J03rwVaaOz6rqwuUOTBYCeLZsoebtd6hbsADV5QKgNsHEynMH8H1PF1vc+eHX6vxpZOqm46nrx84ylQN/ykWb9ZzYN4lJ/VI4uX8yqTHmo/PBhRAigiIVq8TGxvL5558zceLECLau++nMsaPd4yfGvH8KDkVRDzuptqtuF5d/cTmnZJ/CfePvQ69t3HtP8XjYefoZBEpLiTr+eHo88zS66Ogm9ay1u7h8wy7KfAESDDpeG5JzyAVK7FVuPn9xPQMmpDNiqixMIoQQQrTFMZEknDRpEr169Qr3ANy9ezc5OTlNXnfyySezZMkSAK666ioWLVpESUkJsbGxDBs2jDvvvLPVCULo3IGeEMeKsnw7372znfLdodXEo2KNJJ2VzSfxQRY0DDvSAGclx3FTzxSGRYd6KgTr66n79FNq33obb15euL7KoZn8cnpPlsSWsNtZGL5u1iTTx/AbFNdAthZpqHMHGrVjYHoMJ/dL5sS+SYzuGY/ZIIufCCE6v0jFKoMGDeLtt98Ozw8tDk9njR3fX1XEXz/bzBtXj2NIj9iI1FlSX0JaVNpBFyDxbN5M7QcfknrXnWgMzc8PfOn6XXxTZad/lJl/D82hp8XU8nvuqOWLeRtwO/xExRq55KHxGM0yvFgIIYRorS6ZJOwsOmugJ8SxRlVVdqwqZ9lHO3FUeQBI7BFFyv9l85bOy4KK2nDZk+JtzMpO5aR4GxqNBlVVca9ZQ+0772D/6mtUT+j1qlZL2WkjWH58PIs0Wyl1lYXrMOusDLadgdU3lsKyaDbtdTTqZWjUaxmdHc/EPokc3yeJYT1iZWiyEKJTilSs8sUXX/Dss8/y0ksv0bNnzwi2sHvpbLGjqqq8tHQXj325FYArJvbigd80nRPwULxBL/f9cB/n9j2XCRkTmn8vnw/P1q1Y2pBorvEHmLOrhPt6ZxCtb/nLuS0/lbDkja0oQZWkLBtn3jCM6AQZBSCEEEK0hSQJ26GzBXpCHOuCfoX1S4pY9cXu8HyF2YMSSDori/966vm4vIZgw0+qoTYLs7JTOCs5Dn3DcKlgfT2Or76i9sOPcK9atb/imGiKfjuOX4aZWepaR4mzJHzLoDUwMvEk0jSTqK1JZ+VuB2X2/aucA0Sb9IzLTeD43kmMz02kf1o0Opn3SAjRCUQqVqmoqOCCCy7gu+++w2q1YvhVz6/q6ur2NrVb6Eyxo6Ko/PV/m3ntx90AXHtSLnedPqDNQ4ztPjs3f3szq8pWEWeK46vzvmoy/2Cwvp7im2/GtWo12fNfwzpyZLN1+RWVzytrOTslvk2fY9lHO1m7MDQ6IHdkMlN/PwiDSXr8CyGEEG0lScJ26EyBnhDdicfpZ+Xnu9mwpAglqKLRwIAJ6WSclsl/HXW8sbcad8PKm9lmI9dnJXNReiLWA3r7+QoKqP34Y+o+/oRAyf6koD6zB2W/Gccvg/Qsca4hv27/HIZajZahicMYHHMKeu8gdpboWLarmjq3v1H7os16xvSMZ0yvBI7LSWBYZiymQ/SAEEKIIyFSscrUqVMpLCzkqquuanbhkssvv7y9Te0WOkvs6A0Euf3ddXy2PvT7797pA7n6xNw211PuKueGb25ge812bAYbz0x+huPSj2tUxl9Wxp5rr8O7bRsaq5XMZ57BduIJTeqq8we4auNufqit5299e3BlZvIh319VVb54aQP56yoBGHNmL447KweNfFEnhBBCHBZJErZDZwn0hOiu6ipcLPtoFztXlwOg1WsYfEIPck/twTt2B/8qrqDaHwQgwaDj8owkLu+RRJppfw8YNRjEtXw5tR9+hGPRIlS3O3zP2Kc3NdMnsGKQnsX2VWyp3tLo/VOtqUzscSK9jCdQb89gxW4Hq3ZX4/QFG5Uz6rUMz4xlbK8ExvZKYGR2HHFW45F6LEIIERapWMVqtbJs2TKGDx8ewdZ1P50hdnR6A1z7n5X8uKMKg07Dk+cP5+wRPdpcz+663Vy38Dr2OveSZEli7tS5DEgY0KiMNy+PwmuvI1BSgi4piayXXsIypOlw5gK3l0vX7yLP5SVKp+WlQT05Nal1cyOuX7yHnz7cyZSZA+k7NrXNn0MIIYQQ+0mSsB06Q6AnhIDSXXX8/MkuirfVAKAzaBl6cg8GTs3i43oHL+2poNDjA0CvCS1ycnVmMqNjrI16wyguF/VLllD3+ec4l36H6t/fQ9A8eDCeM09k7WALPzk38HPJz3iCnvB9o9bI2PSxTEg7gRT9SEoqLazYXcOK3dVU1vuatDk3KYoR2XGMzI5nZFYcA9KiZV5DIUTERSpWGTVqFC+++CLjx4+PYOu6n84QO/qDCle9vpJVu6t56bLRnNj30D32fm1j5Ub+8M0fqPHWkB2dzbxT55EZndmojHP5LxTdeCOKw4ExJ4esl/+JMTOzSV2r6pzM3JBPlT9AusnAf4flMthmafH9D1x5WVVVHFUeYpJafo0QQgghDk2ShO3QGQI9IcR+RVurWf5pPqW7Qqse6006hk/OZMjULL51uXi1qIKf65zh8sOiLVydmczZKXGYtI0TdEG7Hcc3i7D/7384f/4Zgvt7B5oGDMB46iS2jU7lZ3byffH3FNcXN3p9iiWF8RnjGZc2ngzTcHaVavhldzWrCmrIr3Tya2aDlmE94hiZHcewzDiGZcaSGW856KqQQgjRGpGKVb7++mseeughHnnkEYYOHdpkTkKJg1qns8SOTm+AwmoXA9MPrw0PLXuI97e/z+DEwbww5QUSLYmN7rs3bKTgkktQ/X4so0aR+cLz6OObzjP4aXktN28pwKOoDLVZ+PewHNJNLfe0376ilDVfF3LOrSMxWZtfFVkIIYQQh0eShO3QWQI9IcR+qqpSuLma5Z/soqLQAYDRomfE1CyGnZLF9oCPV4sr+bCsBq8S+rGWaNAzMyORmT0Sm/3PSaCqCvtXX+H48itcK1dCw3yHAIbsbGxTp1B5wiBWRFewrGQZq8tX4w02XtykT1wfxqePZ0LGBHJtQ8kr87OmsJY1hTWs3VOLwxNo8r5xVgNDe8Tu3zJj6REniUMhROtFKlbRNnyR8uufP6qqotFoCAaDzb1M/EpHxY4rd1fzzZZy7jy9f0R+h/gVP6+sf4WZg2cSZYhqcl8NBimefSsAGU88jtbcdJXhXS4vJyzfggKclhjD3EE9iWph/l5VVVnxv92s+Cw0V/Bxv8lh7PScdn8WIYQQQuwnScJ2kCShEJ2Xqqrkr6vklwW7qCoO9dwzWvQMndSD4adk4TJpebOkiteKK9nrDQ0r1mlgamIMM9ITOSUhJrwq8oEC1dXUL16MY+E3OH/6CdW3fyixLjmJ6EmTMZw0gbzeFn6uWcOyvcvYWr0Vlf0/QrUaLQMSBjAmdQxj08YyInkklXYdawprWLOnlg1FdWwtteMPNv2xG281MKRHLIPSYxiUEcPA9Bhyk6JkqLIQolmRilWWLl3a4v2TTz75sOvuTjoidvxyYym3vL0Gb0Dh8d8N44IxWYdVz4/FPzI+fTw6bfOJPFVVIRhEo9cDoPh8aHQ6NLqDJ/5eKCyn1OvjwT490LWQvAz4g3z7763krSgDYMSp2Uw4t3ebV2IWQgghRMskSdgOkiQUovNTFZUdq8tZ8Vk+NaUuAPQGLYNOzGDkqdmYY018UVnHv341FDndZOCitAQuTk8g22Jqtu5gvRPnD9/jWPgN9UuXotTXh+9pDAasY8cQddJJBCaMZI2xhJ9LfmZ5yXKK6osa1aNBQ/+E/oxJHcOY1DGMTB1JlD6W7aX1rC+uZWNxHeuL6thW6iCgNP1RbNRr6Z8azcD0aAalhxKH/dOiZXEUIYTEKp3M0f7z+Pey3Tzw6SZUFaYOTOG5i0dhMR48adccVVWZt34eL6x9gQv6XcC94+9t2qPU76fk3vsASH90zkF7KzoDQeqDCqkNC4jt64naEpfdxxcvrad0lx2tVsPJl/Rn0AkZbfoMQgghhGgdSRK2gwTeQnQdqqKya10Fq74oCA9D1uo0DBifxshpPYlLsZLn9PBGSRXvllaHV0XWACfHRzMjI5FpSTEYtc332FN8PlzLl1O/9Dvqly7Fv2dPo/uGrCxsJ52E7eSTcAzKYpV9EytLV7KqbBW77bub1Jcdnc2IlBEMTx7OiJQR9I7tjT8I20odbNprZ0uJnc0ldraW2JusprxPSrSJfqnR9E210T81mr6p0fRLtRFtljmchOguIhWrfPfddy3eP+mkkw677u7kaMWOqqry+FfbmLtkJwAXH5fFX88e0uZe54qq8Ngvj/Hm1jcBuG7YdcwaMavxol9OJ0Wzb8X5/feg09Hr7bewDB3apK4yr5/L1u/Cr6p8MqovMS0MLd6nptTJgmfX4aj2YLLqOf3aIWQOSGjTZxBCCCFE60mSsB0kSShE16OqKnu2VLPqiwL25tUCoNFAn9EpjDq9J0mZ0XgVhS8r63hjbxXf1ezvHZho0PPb1Dh+l5bAMNvB5wZUVRVf/m7qv1uK87vvcK5YCQeslIzBgHXECKKOn0DUhAk4eqeyunIdK8tWsrJ0JTvrdjap02awMTRpaDhxODhxMHHmOBRFpbDaxZaS/YnDLSUOimvdB30GGbFm+qRG0zs5it7JtoYtiuRok8x3KMQxJtJzEh7owJ8XMidh6xyN2NEXULjrg/V8uCa0oNZtp/bjplP6tPnnuz/o594f7+Xz/M8BuOu4u5gxcEajMoHqavZcdz2eDRvQmM30ePopoidNalLXVqebGet2Uez1k2jQ8/6I3gw8xArGEOpF+N6jK9DptEyfNYz4tKbzHwohhBAiciRJ2A6SJBSiayvZUcuqrwoo2FAVvtajfzwjpmTRc0giGq2GAreXN0uqebukijLf/sVF+lpNnJ+WwG9T48k0tzysV3E6cf78M/VLllL/4w8E9pY0uq+12bCOG0fUhAlEHT8BT0YiG6o2sLZ8LWsr1rKhYgOugKtJvZm2TIYkDWFI0hAGJw5mUOIgrAYrAPXeAHllDraXOdheVt+wd1Bm9zapZ59ok57cFFs4edgrMYpeSVZ6JUYRZdK36pkKITqXSMUqdXV1jc79fj9r1qzhvvvu45FHHmHKlCntbWq3cDRixxW7q7lw3jI0Gg1zzh3KBWPbPgehy+/itqW38WPxj+g1eh4+4WGm505vVMa3Zw+FV1+Nv6AQXVwcWfNewjJ8eJO6fqhxcOXGfOwBhT5WE28My6XnQabxaE5NqROLzYjZJr3ghRBCiCNNkoTtIElCIY4NFXscrP6qgJ2rK1Ab5vyLS7UybHImAyakYzDpCCgq31bb+aCshq8q6/AcMDfghLgozk9N4KyUuEMOn1JVFX9hIc5ly3D+tAzn8uUov/rPty45CeuYMVjHjsU6Zgz63Bx22nextnwtayrWsLFyIwX2giZ1azVacmNzGZw4mIGJAxmQMID+8f2xGW3hMnUuP9vLHewsr2dnRT07K5zsrKhnT7WLZqY7DEuONtEr0dqQOIyiV2IUPROtZMVbibXKf9yE6KyOdKyydOlSbrvtNlatWhXxuo9FRyt2fGdFISnRZiYPSGnza1VV5Zqvr2F56XLMOjP/mPQPTsw8sVEZz+bNFF57HcHKSgw9epD18suYcpuuNPx+aTW3bt2DX1UZFxvF/KE5xBsO/qWTqqgs+3gniRlR9B+f3ua2CyGEEKJ9JEnYDpIkFOLY4qj2sH5xEZt/2IvPHeo1aLLqGXRCBkMnZRKdYAbAHgjyWUUt75fW8FPt/uHIZq2GKYkx/CY5jlMTY4hqxXxLajCIZ/OWUNJw2U+4V61utGIygC42FsuYMeHEoXlAf+xBJ5urNrOpahMbKzeysXIjZa6yZt8jKzqLAQkDGm3JluRGQ8+8gSAFVa5w8nBXhZPdVU52V7modvqarXefGLOe7IaEYXaClcyE0D4r3kJGnAWzoW2T5AshIudIxypbt25lzJgx1B+wcJM4uK4SOy7Zs4QHfnqAZyY/w4iUEU3uO3/6icLrrsfUuzdZ/5yHIaVpMvKNvVXcvi00P+/ZKXE8MyAbcwtzIgZ8Qb55bTM711Sg1Wu49C8Twr93hRBCCHF0SJKwHbpKoCeEaBufJ8DWZaWs/3YPdRWhuf00Wg19RiUzZFIm6b1jwwm2Io+PD8tqeK+0mjzX/qG8Fq2GU9qYMARQvF4869fjXLEC98qVuNasRXU3nl9QY7ViGToUy4gRWEYMxzJiBPr4eCpcFWyq2sSmqk1srdrK1pqtlDpLm32feFM8feL70Deu7/59XJ9GvQ73qXP7KWhIGO6ubEgeVjoprHZTWX/w4cv7JNmM9Iiz0CPeEtrHhZKHPeItZMRaiLMaZC5EIY6QSMUq69evb3SuqiolJSU8+uijBAIBfvjhh/Y2tVvozLGjoipoNfuTeC6/KzyFRXOcP/2EeehQdNHRzd7f6/ExfXUev02N557cdLQt/Jx32X18Pnc9Zfl2tHoNp1w2kP7j0g7/wwghhBDisEiSsB06c6AnhGg/RVEp2FDJukV7KN5eG76ekBHFkJN60G9cGiZLaNiUqqpsrHfzaXktCypq2e3e3/vucHoY7qP6/Xg2bcK1ciWuFStxrV6N4nA0KWfs2TOUNBw5AsuIEZj69EGj11PrqWVrzVa2VW9jS/UWtlVvI78un6Da/CID6VHp9I0PJQxzY3PJic0hJzaHaGPz/wl0+QIU1bgprHKxp8ZFYbWLPdVuCqudFNW4cR1k5eUDmQ1a0mMtpMWYSY81kxYb2qfHWkiLNZMSYyIxyoROK4lEIdoqkguXaDQafh0Ojh8/nldffZUBAwa0t6ndQmeNHTdVbeL+H+/nmcnPkBmd2WyZmnffxTpmbLPDivcJqiq6A5KBNf5Ai8OLAar3OvnshXU4qjyYovScef1QMvrGH94HEUIIIUS7SJKwHTproCeEiLyKQgcblhSRt6KMgF8BQG/U0m9sKoNP6kFKz/0/A/YlDBc0JAzzD0gYmrQaToyPZlpSDKclxpJqatt8fmowiHfHTtxr14Y3X35+k3IasxnzwIGYhwzBMmQw5iFDMPbqhUanwxPwsKtuFztqd5BXk0debR55NXmUu8oP+r7JluRGScPcuFx6xfQixZrSqOdJo7aqKnVuP0U1bopr3RT/ar+31k3VIYYy76PTakiJNpESYyY12kRqjJnUmNB5SrSJ5IZNkolCNBapWKWgoPE8qFqtluTkZMxmGQ7aFp0xdlxespybv70ZV8DFaT1P4++T/t7ovqqqVD73HJUvzkWfkU7uhx+ii4trUk+Fz8/lG/K5ISuF36Q0vd+cPVur+XLeRnzuALHJFs66cThxqQfvvSiEEEKII0uShO3QGQM9IcSR5XX52ba8lI3f7aWmxBm+ntIzmsEn9aDvmFQMpv09BVVVZVO9mwUVdSwor2WXu/Hw3JHRVqYlxTAtKZYBUebDGnYbrK3FvX79/sTh+g0ozcwPprVaMQ8ahHnwYMyDB2EaMABTTg4aQyhRWeetY0ftDnbU7CCvNo/ddbvZVbeLCnfFQd/brDOTFZNFz+ie9IwJbdkx2fSM6UmiOfGQn8fjD1Jm91BS56G0LrQvqXOH92V2L5X1Xlr7G0irgUSbiWRbKGmYEm0iKdpEYpSRJJuJJJuJRFvoON5qQN/C/FhCHAskVulcOtufx8KChdz53Z34FT/j0sbx9OSnG007oQaDlD70F2rffReApBtvJGnWH5r8bN/l8nLxup0UeHykmwz8NG4gllb8fF2+YBcr/7eb9N6xnHHDUCw2Y2Q/oBBCCCHaRJKE7dDZAj0hxNGjqiolO+rY+F0xO9eUowRCPyINJh19RqcwYEIa6X3iGv1HSlVVtrk8fF1p58vKOlbbXY3qzDYbmZYUw9TEWMbFRrU4wXuLbVMUfAUFeDZuwrNxI+5NG/Fs3oLqcjUpqzEYMPXti2nAAMwD+jfsB6A74Geaw+cgvy6fXXW7Gu2LHcUE1MBB22HVW8mMziTTlhnaR2eSFZ1Fpi2TDFsGRl3r/jMYCCpU1vsos3sO2LyhvcNLRcNW5Wx9MhFAo4F4q5HEKCMJh9jiraHNYpRFWETX0p5Y5dlnn2112ZtvvrmtTeuWOlPs+N729/jrsr+iojI1eyqPnvQoJp0pfF/xetn7xz/iWPgNaDSkPXA/8Rdd1KSe1XVOLt2wi2p/kGyzkbeG59Lb2roepqqqsnFpMQMnpqOXRa6EEEKIDidJwnboTIGeEKLjuB0+tiwrYdP3e7FX7F9kJCbJzIAJ6fQfl0ZMkqXJ68q9fhZWhRKG39c48Cj7f8xatBomxNk4JTGGyQnR5FpM7VrcQw0G8eXn4964Ec+GjXi2bsW7dSuK09lseX1Geih52KdPw74vpt65aC37P4df8VNSX0KBvSC8FToKKbAXsLd+LyoH/7WhQUOKNYUeth6k29LJiMpotE+PSseib/rMWhIIKlQ7fZQ7vFTU708eVtZ7qaz3UVXvpareR2W9l2qXr00JxX1Mei0JUUbirEbirQbirUbiDtjHWAzEWQzENZzHWkKbrPAsOkp7YpWcnIPPPXcgjUbDrl27Dqd53U5niB1VVeXlDS/z3JrnAPhdv99x77h70Wn3/5wK2u0U/WEWrpUr0RgMZDz5JDHTTmtS11eVdVy/aTduRWVYtIU3huWSbDz4NBrBgMKarwsZMTULvXzpIoQQQnQ6kiRsh84Q6AkhOo99vQu3/lzCjlXl+D37F+3o0S+O/uPT6T0qGaO56STuzmCQ76vr+bqqjsXVDkq8/kb3s8xGJidEMzkhmhPio4luw+InB22vouAvLg4lDLdsxbNtG94tW/Dv3dv8CzQaDFlZocRhnz6Y+vTGmJODMScHna3xqsi+oI/i+mKKHEUU1RdR5Chij2NP+NgdcDf/HgdIMCeQFpVGqjWVtKi0JscplhQMurbN6bhPUFGpcfn2Jw2dvoNuVU4ftS4fAeXwfw2a9NpwwjDGYiDGrA8fx1oMxJgNRJv1xFhC+2jzvr2eGLMBk14rK0CLwyKxSufSGf48fEEfl39xORurNnLN0Gu4aeRNTX6+lNz/ALXvvovWZiPzhReIGndck3peL67k7u1FKMApCdG8PLhXiwtzeV1+vpi3geJttfQdk8JpVw+J9EcTQgghRDtJkrAdOkOgJ4TonPzeILvWVrB1WQlF22rY16lOb9SSMyyJPmNS6Tk4EZ2h6ZBiVVXZ6vSwuNrBkmo7P9c68R3wI1ingRHRVk6Ij2ZinI0xsVFYIzi3XrCuDu/27Xh37MCbt6Nhn0ewpuagr9GnpIQShrk5mHJyw8lDQ3oaGl3j/zSqqkq1p5qi+iJK6kvY69zL3vq9lDhLwnunv/kejgfSoCHRkkiKNYUUSwrJ1uTQccOWbEkm1ZpKrCm23Qk2VVWp9waodfmpcYWSh/uOa1x+6lw+at1+6tx+al2hfejYRztyi2EGnYZoswGbSR/azHqiG/YHnkft24x6okw6bA3ntvA9HaYIJJhF13EkYpV9IaEkrtuus8SOle5Klu5Zynn9zmv2frCujuJbbyXljjswH2Tl6gd2FDNvTwUXpyfweL8sDC0sGmWvcvPZ8+upKXFiMOk4/dohZA9OjMhnEUIIIUTkSJKwHTpLoCeE6Nwc1R62LS9l67IS6sr396AzWvTkjkii75hUMgfEoz1Ios8ZDPJTTT2Lqx0srrY3Wi0ZwKjRMDrWysS4aE6ItzEqxopRG/kFOQJVVXjz8kKJw7w8fPn5ePPzCVZWHvQ1GoMBQ1YWxuxsjD2zMWRnY8zuGTrOyECjb9qrUlVV7D47Jc4SSp2llDpLKXOVNTouc5bhU1q3MrJeqyfJkkSSOYkka1Lo+IDzRHMiiZZEEs2JWA2RXVVTUVTqfQHqGhKHdo8fu9uP3R3A7mm41pBQdHhC1xyeQPi43hs4rGHRLTHoNFiNeqKMOqymhn1DUnHf3mLQYzXqsJp0WA2hclajjiijHrNBF7pn1IWPLUYdZr0Oraws3elEMlb597//zRNPPEFeXh4A/fr1409/+hOXXXZZJJraLXRU7FjhquC7ou8OmhQE8O/diyEjo9V1KqrKZxV1/Ca55S9iygvs/O+F9bjsPqLiTJx14zCSMqPb1H4hhBBCHB2SJGwHSRIKIdpCVVXKCxzkrSxjx8pynLX7Vzo22wz0GZVC37EppPeOQ9NCsmWPx8ePNQ5+qKnnx9r6JkOTLVoNo2KiOC42inFxUYyOiYrI8OSDCdrt4YShb1d+w/Eu/AWFqH7/wV+o12NIS8OQmYkhswfGzEwMPULHhh490CcnH/Q/nqqqUuOtodRZSoWrgnJ3OeWu8tCxq+HYXUG1p7pNn8Wit5BgTiDBnECiOZEES+g43hRPvHn/lmBKIM4c1+Z5E9tqX5IxlDj04/SGjuu9Aeob9o3OfQGc3gAub5B6bwBnw3m9N4DHrxzRtgJYDKGEocWgw2zQHnCs+9W9fZs2tNeHypoNoZ6O4esGHSa9Nlw2fE8Skq0WqVjlH//4B/fddx833ngjEydOBOCHH37ghRde4OGHH+bWW2+NVJOPaR0RO+6o2cEfFv2BEmcJc06cw1m5ZzUp4/j2W4pvu52U228n4bJLm62nPhDk2YIybs9Jw9TKL6J2r6/kq1c2EvApJPawcdaNw7DFt25REyGEEEIcfZIkbAdJEgohDpeqqJTsrCNvZRk7V5fjduxPpllijOQMTyJ3RDKZ/ePR6Q/+nzFVVcl3+/ihxsGPtfX8UFNPlb/xisNaYLDNwnGxURwXF8W4WBtppsOby68t1GCQQGkpvsJCfAWFDfsC/IUF+Ar3oHq9Lb5eYzJhyMho2NLRp6djSN9/bkhNRWNseYVkf9BPlaeKSnclFa4KKj2VVLorqXQ17Bu2ak81nqCnzZ/RorcQZ4prtMWaYokzH3C877oxlhhTDNHGaLSayPf0PJRAUMHlD+LyBsPJQ6c3iMsXwOkLNpwHcPuCOH1B3L4ALl+w4TUNx74gbn8Qty/0Orc/eFSSj80x6DSY9PuTiCa9FqNei6nheN9m1Gsx6kIJRuOB1xrdO/Bc1+jegXuDTvOr89Ber9V02qG3kYpVcnJyeOihh5g5c2aj66+//joPPvgg+fn57W1qt3C0Y8efS37m1sW3Uu+vp1dML16c8iJZMVmNytS8+y6lDz4EioJt0iQyX3wBza+SgGVePzPW72JjvZuL0hJ4emD2Id/b7w3yn/uW4bb7yBoYz+nXDsVoadp7XAghhBCdhyQJ20GShEKISFCCCsXbaslbWcautRV4XfuTfEazjp5DEskZkUzPIYnNLnpyIFVV2ebysKLOyfJaJ7/UOSn0NB2Wm2k2MDI6ilExVkbFWBkabY3ovIaHoioKgfJy/EVF+IqK8BcV4y8uDp0XFxEoLQPlEMknjQZ9UhL6tDQMaanoU/ftQ5shLQ19aipak+nQ7VFV3AE3Ve4qqjxVVHuqQ3t3aF/rqaXaW02tp5YaTw3V3moCSuCQ9TbbbDREG6OJMcYQa4olxhhDjCkmtDeGkoj77h+4txltRBujMekO/XmOJkVRQ4nDcPIwiGffuT+IxxdsdN/tC+IJhJKL+8p5G449gYb7fgVvYP/e61fwBIL4g503FDHqQklEQ0MS0XBAYtGg06LXaTE2HBvC9zXotVqeunAEuiPUMzJSsYrZbGbjxo306dOn0fW8vDyGDh2Kx9P2JHt3dDRjx092fMKDPz1IQA0wKmUUz0x+hjhzXPi+qqpUvvgilc89D0Dsb39L+kMPojE0/hIpz+nh4vU7KfL4STTo+e+wXEbGtG5qhpKddWxfXsoJF/ZFdxR/xwghhBDi8EiSsB0kSSiEiLRgQKF4ew35ayvZta4CV93+BJ9OryVzYDw5w5LoOSQJW3zrkkUlXh+/1Dn5pdbJijonG+vd/Dr9ptPAwCgLo2KsjGzY+lrN6Dqod5Tq9+MvKcG/twT/3r34S/biLykhED4vOWRPxH10sbHoU1LQJycfZJ+EPikJraX1Q4dVVcXpd4YThnXeOmq9tdR6aqn11obPw9e9tdh99lat6nwoBq0hlDQ02LAZbaH9AcdRhiiiDFHYDDasBmv4ntVgJUofFb5v1ps7pEdjewQVtUny0BtoOA4oDeeh+75g6L4vqOzfN5T1BZT92wH3913zNhz7f7X3HbCPZFSUP+fMI9YTMVKxypAhQ7jkkkv485//3Oj6ww8/zDvvvMOGDRva29Ru4WjEjqqqMnfdXOaumwvAGb3O4K8n/LXRFwxqIEDpX/5K7bvvApB4/XUk33JLk7+Hv9TWc/mGfGoCQXItJt4cnksvy8F/9wT8QWpKXCRny5yDQgghRFckScJ2kCShEOJIUhWVst12dq2tYNfaikaLngAkZtroOSSRnkMSScuJOejCJ79WHwiy1uFijd3FaruL1XYnZb6mveIsWi2DbWaGRlsZGm1hmM1CvyjzEVkUpa1UVSVYU4O/eC+B8jL8ZWUESssIlJXiLy0jUFqKv6wMtQ29m7RWK7qkUMJQn5iILimx4TgJXWIC+oQEdPEJ6BMT0MbEHFZSxx/0U+erw+61N9rXeetw+Bw4fA7sPnuzx/X++ja/X0s0aLDoLeGk4b5jq8GKVW9tdm/RW7DqQ3uL3oLFYGlyzaA1dNqht5EUCIaShf6gGk4kHphM3Hf9wHL7yhx4HAiqXHlCzhFrZ6RilQ8++IALL7yQqVOnhuck/PHHH1m0aBHvvvsu5557bqSafEw7GrHjytKVXPHVFQBcPfRqbhp5U6MvBFRFoejmm6n/ZhFoNKTedy8Jl1zSpJ7/VdTyh80FeBWVUTFW/j00lyTjwXuze5x+Pp+7nso99Zz7x1EkZ0miUAghhOhqJEnYDpIkFEIcLaqqUl3iJH9tBbs3VFG22w4H/FQ2WfVkDUqg55BEsgclYo1pea6+X9e91+tvlDRcX+/GFWw63Neo0TDAZmaYzcogm5lBNgsDo8zEGjrfPFOqqqLU1RGoqMBfXk6gooJAeUXDvrzRvrW9EsP0enTxcegTEtElxKOPT0AXF4cuPj60xcWhi49DFxeHvuFcY7G0K3kWVII4A06cPicOv4N6Xz31/vrw3uFz4PQ7cfqd1Pvrcfld1Pvr91/z1eMKuHD6nagcuV/pOo0Oi96CWW9utLfoGl8z6UxNj3VmTHpTaK8zhe+Z9eYm14w6Y5frCdkR2hurbNy4kSFDhgCwatUqnnrqKbZs2QLAwIEDuf322xk5cmRE23wsO1qx49x1c0myJHF+v/ObvV/16mtUPP00GU8+QcxppzVtZyDI+J83U+0PMi0phrmDerU4JYW90s2C59ZRW+bCaNZx5g3D6NE/PmKfRwghhBBHhyQJ20GShEKIjuKu91G4qZqCjVUUbq7C62zcEzApy0bmgAQyB8ST0ScOg6ltqxsHVZVdLi8b692sd7jY4HCzod5NXSDYbPkeJgMDGxKGg2wWBtrM9LaYMXSBFWhVVUVxOglWVhKorCRQWUWgqpJgVRWBikoCVVUEq6sJVFcTrK5GqT+8Hn0aoxFdbCy6uFi0sbHoYuNC57Gx6GJj0MbEoIuJRRcTjS5m33lorz3EAi1t/bzugBtXwIXL7wonEfeduwKu0P2G4wP3zoATt9+NO9B08ystrGR9hBi1Rkw6Eya9KbT/1WbQGcIJRZPOhFFr3H+sCx3vu2bUGTFo95c3ao0YdIbGZQ64ZtDu33fmZGV7YxWtVsvYsWO5+uqrueiii4iOlt5h7dGRsaOqqo2+qPDt2YMxK+ug5ZfV1vNZeS0P9emBvoWf5eUFdj57fh1uhx9bvImzbhxOYg9bRNsuhBBCiKNDkoTtIElCIURnoCgq5bvtFGysomBjFRWFjkb3tToNabmxZA6IJ2tgAik9o1s9NPlAqqpS6PGFE4abG7Zib/PJIYNGQ47FRL8oE/2izPSzmukXZSbXYsLchSewV3w+gg0Jw0BVNcGaaoI1NQRqagjW1hKsqSUYPq4hUFsL/vYl0DQmE9qYaHS2aLTR0ehsNrTR0WijbQ3XbOiio9FG2dDabGhtUeiiohqObWijotBarWh0bUsWt4Vf8YcShn43nqAHd8CNJ+AJJxEbHQc9eAIevEEv7oAbb9CLJxC6duA9T9CDN9CwD3rxBrwE1MNbMOZI0mv0GHSGRonDXx/rtfpG5/vKG7QGHpjwADrtkfmzaW+s8v333/Paa6/x/vvvoygKv/vd77jqqqs48cQTj0Brj30dFTs6vl1M5byXyH7lFXQHSfQ6A0HyXF5GtHJREoDd6yv56pWNBHwKiZk2zpo1vNXz5QohhBCi85EkYTtIklAI0Rm57D6KtlVTtLWGPVuqqa9uPJTWYNaR0TeOjD5xZPSNIzk7Gp3+8JN2df4AW50eNjs9bKl3s6Xew2anG2czw5UBtEAvi4m+USZ6W8zkWk3kWkzkWk2kGvXH3Hx2oZ6KLpS6WoJ2O8G6OoK1daF9XR3BulqCtbUodgdBh4OgvS50bLejOBxEcoUMjdWKNsqKzhqFpmGvjdq3WdFa9+2tobLhLaphb0FrsaCxWELnFssRTTw2J6AEQgnDhqRh+PjALeDFp/jwBr34gr7w9X3HB+59ig9/0I9P8YXOgz78ih9v0Itf8YfOD7yv+A57ZeuDWT9zfadfuMTpdPLuu+8yf/58vv/+e/r06cNVV13F5ZdfTlpaWgRbfGw72rGjqqpUvzaf8ieeAFUl6Q83kHzzzU3KlXh9zFyfz263lwWj+zIg6tALORVtq+HTp9egqpA9KIFp1w7BaO58U08IIYQQovUkSdgOkiQUQnR2qqpSV+GmaGsNRVurKdpW02Rost6gJTU3Jpw0TM2NxWBsX+JHaZjncLvTw3anhzyXh+1OL9tdnoMOWQaI0mnJtZjIsZrobTHRy2Kil8VIT8uxmUA8FFVRQkOh6+woDjtBhwOlvh7F4SDoqEepDyUWlX3HTidKvTNUpmELOp0QOHK97zRGYyhZ2JA0DCURzWgtVrRmc+jYfMB1swWtxYzGZEZjNqE1Wxr25lB5sznUc7LhWGsyoTGZjnoysiWKquxPICp+/EF/6Lwh4ehX/M3eb7Q1XAsoAa4aetURa+uRiFV27NjBa6+9xn/+8x9KS0s5/fTT+fTTTyNS97HuaMaOqt8fWsH4vfcAiLvwQtLuvQeNwdCo3EaHi8s25FPi9ZNo0POfYTmMiok6ZP3BoMLnL6wnKs7EyTP6o+vCPcSFEEIIESJJwnaQJKEQoqtRFZXKonr25tWGN4+z8VBYrVZDcs9o0nJiSc2NIS03Flu8KSIJOlVVqfAF2O7ysM3pId/tZafLS77bS6HbR/N9D0MsWg1Z5n1Jw1DisKfZSLbFRKbZQFQnSiJ1Jqqqovp8KA4HisuF4nTu3w4833fscqG43A37hs3tRnE5UZwu1IbzSPZwbBWDIZQwPDBxaDKhNRrDxxqTEa2x4dhobDg3ho6N+69pjAdeb9gM+/aGhmuG0FyQhtBeYzCEkiuGrrV685GKVZxOJ2+88QZ33303tbW1BIMHT/6L/Y5W7Bisq6Poltm4fv4ZtFpS77yD+Jkzm/zdXVhZx3WbC3AFFfpaTfx3WC49LQcfLhzwB9FqNeEpKwL+IDq9tkv9mxBCCCHEwbU2VpGxA0IIcQzQaDUkZ0eTnB3N8ClZqKpKTYmLvTtCCcOSHbXU13gpy7dTlm+Hb0Ovs8Ya9ycNc2JJ7hl9WL0NNRoNKSYDKSYDJ8Q3nhfLpygUuH3hxOEut5fdbi+73T6KPT7cisp2l4ftLk+zdScYdGSZjWSZjWQ27PcdZ5gMxOp13fI/shqNJpRMM0VunjBVVVG9XhS3O5w0DCUS3ShuF6rHg+L2oHrcKG4PiseN6m44drtQPV4UrwfV7QntPd5QGY8XxeMJvd7rbTyXo9+P4vdDfT0dnY7alzAMJxTDxw1JxAM3/YHH+gPuhY7R60m57bZO1VOyJd999x2vvvoqH3zwAVqtlgsuuICrrjpyPSFF2/kKC9lz7XX4du9Ga7WS8Y+/Ez1pUpNyrxRVcH9eMQpwYryNVwb3anGlene9j89f3EBipo2TL+6HRqNBb+gaf2+FEEIIEVnSk7AZ0pNQCHGsUVUVR5WHkp11lO2qozTfTmVRParS+FeAVqshPiOKlIaEY0rPGBIzo47Yfxj9ikqRx0eBJ5Q0LHB7KXCHzos8/haHMO9j1WnpYTKQbjKQYTKSYTbQwxRKIKY1bHHdNJHYWanBYCgZ6fWGEoceD6rPF04iql4fqs/bUMaH6vWi+rwoHm+onLdh7/eh+HwN5Ztuin/fsb/xPX/o/Ej3mhywZXOnnpNw7969zJ8/n/nz57Njxw6OP/54rrrqKi644AKiog49LFXsdzRiR395ObsvuBC0GrLmzsXcv3+TMh+V1XDD5gIALklP4LF+WS2uRl9b5uKz59dRV+HGZNVz4b3HEZ1gPiLtF0IIIUTHkZ6EQgghwjQaDTFJFmKSLPQfF1qMwO8LUlHgoDS/jrJ8O6W76nDV+agqqqeqqJ4tP5UATROHydnRJPawYTC1P3Fo0GrIsYbmKmxOnT9AkddPkcfHHo+PPW4fRV4fhW4fxV4f1f4grqBCnstLnsvbbB0AZq2GVGMoYZhqMpBuDO1TjXpSjAaSTaF9vCQTjwqNThdeQKUjqYFAOGGo+v37j32+/fcabQeUDwRQ/aE9++4HAqGEZCCAGgx06r9LZ5xxBt988w1JSUnMnDmTK6+8kv7NJJ1E52FISSH75X+ii4tDn5zcbJnpybGcEGfj5IRobsxOafHv4N4dtXw+dz1eZ4DoRDNn3ThcEoRCCCFENydJQiGE6KYMxobVkPvGAaHehvU1XioKHJQX2qkodFBR6MDt8DdJHKKB2GQLST1sJGbaSOxhIynTRnSiOaKJkViDnliDnsG25lfkdAcVSrx+9np9FHtC+71eP8UeHyVeP2U+P9X+IB5FpcDjo8Dja/mZaDQkG/Uk70seGvUkGfQkGfUkGQ37jw16Egx69C300BGdn0avR6PXg+XQK74eawwGA++//z5nnXUWui4yJFqAqW/fJte+q3YwPi4Ko1aLUavlnRG90R3i53DeyjK+mb8ZJaCS0jOa6bOGY40xHqlmCyGEEKKLkOHGzZDhxkIIEdJc4rByTz0ue/PJNqNZR2KmjYT0KBIyoohPjyIhPQprjLHDelV5ggrlPj+lXj+lvgBlXn84gVju81PuC1DRkExsq3i9jkRjKGGYYNA17PefJxr0xBv0xBt0xOn1xOp1klgUESGxSufSEX8enqDCX3bu5dXiSq7PSubBPj1a9bq13xTy4/s7AMgZnsSpVw0+rLlohRBCCNF1yHBjIYQQ7abRaIhOMBOdYCZ35P7hbS57aFhyZXGoh2FlUT01pU58niAlO+oo2VHXqB6TVU98WhQJ6Vbi06OIT4siLtVKdKIZ7RFOmpl1WrItJrJbWNkTQgusVPgC4aRhmc9PpS8Q2vyN99X+ACpQEwhSEwgCBx/q/Gsxei3xej1xBl14H6PXEacP7WMNOmIbEor7tmi9jhh9qJeQEELkOT1cv3k3m+pDCz5pCH2p05ovY+JSrGg0MGxyFsf/rs8R/xkshBBCiK5DehI2Q76dF0KItgsGFGpKXVQV11NT4qS6YbNXuA+6PoRWryE22UpcioX4NCuxKVbiU63EpVox2wyddk63oKpS4w9S4fNT4w9S7Q8csIXOqxrOa/xBagMB7AGl3e9r0WoaEoYNm25/AtGm1xGt0xGt1xKt0zWch67bDtzrdC0uZCC6BolVOpej9eehqipvlVZzz/Zi3IpCokHPswOzmZLY8nv+OoFYVVxPYg/bEWunEEIIIToX6UkohBDiqNLptSRlhuYmPFDAH6S2zB1OHNaUOKkpc1FX7g4lFhuu5a9rXJ/BrCM22UJskoWYZAuxyQ37JAu2hCPfA7ElOo2mYZ7C1v8aDSgqtYFQwrDWH6TGH6AmEKTWH6AuENy/+YPYA0FqA/v3rmAowehWVNwNvR3bw6jRYNNridLtTxxG6bRE6bVYtNrQsU6HVbfvWIv1gM2ibf7YoNF02sSuEF2dPRDkjm17+Li8FoAT4208P7AnqSZDi6+rLKrn239vYdo1Q4hNDs2/KQlCIYQQQjRHkoRCCCGOKL1B12zyUFFU6qs91Ja5qC13UVsa2teUuaiv9uL3BKncU0/lnvomdWp1DcOgE83EJJqJTrQ0Oo6KNaLpZL3l9Nq2Jxb3CSgqjmAoabhvcwQU7MF9x6Hz+mCQ+qDScH7AcTCIM6jgVUJdOn2q2tDjse3zMLZEpwGLVotZq8XSkEC06DQN+9B1s1aD+cDj8L3QsUmrxdRwbNZpGp2btBqMWi0mjWb/sVaDVhKTohuo9gf4psqOTgN35qRzY3bKIf/u71pTwcL5mwl4g/z4fh5n3jDsKLVWCCGEEF2RJAmFEEJ0CK1WQ0yShZgkC9mDExvdC/iD2Cs92Cvc1FW4qat0h4/tVW6UgBq6XuFuvm69Blu8meh4E7Z4M7Z4E7aEhn3DNZNV32V6vem1GuK1oUVQ2sOvqOFEojMYxBlQqA+GkovOoIIrqOBsuOc64NzVcM0dVHEp+++5ldA+0DCcPKjSUJ8C/gh88FbSawgnE40aLUatJrRpNBi0oUSjQRO6ZtJqMDSU2Xdt//H+coaG1zbaN3Os/9V1/QHXe5g675B50fX0sph4bmA2yUYDY2KjWiyrKiorv9jNLwvyAcgcEM8pMwcejWYKIYQQoguTJKEQQohOR2/QhVZITm/6H2FFUXHWenFUubFXeXBUeRr2bhxVHhzVXpSAir0ilFg86HuYdETFGrHFmbDGmrDFmYjat8UaiYozYY01ojccO6t+GsLJxsjW62tIFnoUFXdQwaMouIMKroa9R1Fxh48VPEE1VEYJ3fMqCp6Gch4l1OPRe8A+XEZR8CkqHqXxJJcBFQJBBWcQILK9I9tj76ThSIqwqd27d/PXv/6Vb7/9ltLSUjIyMrj00ku55557MBqN4XLr169n1qxZrFixguTkZG666SbuuOOORnW999573HfffezevZu+ffvy2GOPceaZZ4bvq6rKAw88wMsvv0xtbS0TJ05k7ty59O3bN1ymurqam266iQULFqDVajnvvPN45plnsNk635DcM5LjDlnG7w2y6PXN7FxdAcCwUzKZeF4ftDpZ+EgIIYQQLZMkoRBCiC5Fq92/4nJG36b3laCCs86Ho8pDfY2H+hov9dUeHDXe0Hm1F4/TT8AbpK7cTV35wROJEFqZ2RpjxBJtxBprxBqzbzM1XDdgiQ7tj6WEYlsYtUd35WVVVfGrKj5FDScSfWro2NeQSPQ13Pc13PM3lPWpoft+ZX8d+/bhe+r++032DWUDDceBhvcKNJTZd11RVRkGfRBbt25FURTmzZtHnz592LhxI9dccw1Op5Mnn3wSCE2ufdpppzF16lReeuklNmzYwJVXXklcXBzXXnstAD/99BMXX3wxc+bM4ayzzuLNN9/knHPOYfXq1QwZMgSAxx9/nGeffZbXX3+dnJwc7rvvPqZNm8bmzZsxm80AzJgxg5KSEhYuXIjf7+eKK67g2muv5c033+yYB9QOzjovC55bR1VRPVqdhpMv6c+giRkd3SwhhBBCdBGyunEzZMVAIYQ4tvl9QZw1Xpy1Xpx1Xpy1voa9d/++1kewjSsSG8y6UMLQFkocWqMNmG1GzDYD5igDFpshfGy2GTBZ9J1u7kTRNRxrscoTTzzB3Llz2bVrFwBz587lnnvuobS0NNy78K677uLjjz9m69atAFx44YU4nU4+++yzcD3jx49nxIgRvPTSS6iqSkZGBrfffjt//OMfAairqyM1NZX58+dz0UUXsWXLFgYNGsSKFSsYM2YMAF9++SVnnnkmRUVFZGQ0n2Dzer14vd7wud1uJysrq8P/PAL+IB/9fQ2OKjdnXDeU9D5xHdYWIYQQQnQesrqxEEIIcRAGo464VCtxqdaDllFVFZ87gMvuw1XnC+3tPlx2b/jcaffhcfhwO/woiorfE8TvaXmY84E0Wg3mKD0mqwGTVY85yoApSo+54dwUFUoomix6TFY9RqsekyV0T2/Uynx34phRV1dHQkJC+HzZsmWcdNJJjYYfT5s2jccee4yamhri4+NZtmwZt912W6N6pk2bxscffwxAfn4+paWlTJ06NXw/NjaWcePGsWzZMi666CKWLVtGXFxcOEEIMHXqVLRaLcuXL+fcc89ttr1z5szhoYceisRHbzevO4BOr0Fv0KE36Djz+qEoikp0grmjmyaEEEKILkaShEIIIUQzNBpNQ/LOQHzaIRYJUFW8rgCeej8uhw+PI7R3O3x46v14nH489X7cBxz7vUFURcXt8ON2tH2VD61WE0oaWvWYLHqMFj1Gsx6jRRc6bjjff0+HwbxvrwuVNetknjLR4Xbs2MFzzz0XHmoMUFpaSk5OTqNyqamp4Xvx8fGUlpaGrx1YprS0NFzuwNcdrExKSkqj+3q9noSEhHCZ5tx9992NEpT7ehIebYWbq1j8n630HZPK8ef1ASAqznTU2yGEEEKIY0OnSRI++uij3H333dxyyy08/fTTzZbZtGkT999/P6tWraKgoICnnnqK2bNnNyozZ84cPvzwQ7Zu3YrFYuH444/nscceo3///kf+QwghhOiWNBpNaAhxlKHF3okHCvoVPM5Q4tDr8oeSjE4/XmcAr8uPxxXA6wwlFX3uAF5XAK87gM8VQFFUFEUNJSDr27eMsN6gxWDRYzSFkocG075N/6tzHQbj/mO9SYfBqG3YN1wz6tAbtRiMOhlG3Q3dddddPPbYYy2W2bJlCwMGDAifFxcXc/rpp3P++edzzTXXHOkmRozJZMJk6rhknM8d4McPdrD5h70A5K+v5Ljf5KA3ds95UYUQQggRGZ0iSbhixQrmzZvHsGHDWizncrnIzc3l/PPP59Zbb222zNKlS5k1axZjx44lEAjw5z//mdNOO43NmzcTFdVyTxAhhBDiaNEZtOHVlNtCVVUCPiWUNGxILvrcoQSi39OQSHQHw9d8ntB9nyeI37NvHwzPtxjwKwT8Plo3QLptn29fwnBf8lBv2LfXojOEkow6ow59Q1m9QRd6nUEb3u+7Fr6uDx3r9L8+10ivyA52++238/vf/77FMrm5ueHjvXv3MnnyZI4//nj++c9/NiqXlpZGWVlZo2v7ztPS0losc+D9fdfS09MblRkxYkS4THl5eaM6AoEA1dXV4dd3Nnu2VPPtf7ZQXx2aE3HY5EzGn9NbEoRCCCGEaLcOTxLW19czY8YMXn75ZR5++OEWy44dO5axY8cCoW+rm/Pll182Op8/fz4pKSmsWrWKk046KTKNFkIIITqIRqMJ9+azxR9+T6ZgQMHvCYaSiJ4gfm8QvzcQmlfRu3/zeQLh44A3iN+nhMp5FQK+huvh/f6FXoJ+haBfwesMROJjt4pGq0Gn14QSh3ot2gOO92+ahnv7E4uNruk0jfZanQZdQ5kDz7U6TcPWcE2//1ir06DVaolPt3areSOTk5NJTk5uVdni4mImT57M6NGjee2119D+anXsCRMmcM899+D3+zEYDAAsXLiQ/v37Ex8fHy6zaNGiRqNKFi5cyIQJEwDIyckhLS2NRYsWhZOCdrud5cuXc8MNN4TrqK2tZdWqVYwePRqAb7/9FkVRGDdu3GE/iyPB5wnw0wc72PR9qPdgTJKZU2YOpEe/+A5umRBCCCGOFR2eJJw1axbTp09n6tSph0wSHo66ujqARpNh/1pzK9QJIYQQxzKdXovOpsVsM0SsTlVVQz0TfaGE4YHJw/A1/6/3Dff8CkFfkEBAIehTQnu/QsCnEAyEygX9wdC1gEIwoBL0K6iKuv/9FZWAT22UrOxIf3hxMnSfHGGrFRcXM2nSJHr27MmTTz5JRUVF+N6+3nuXXHIJDz30EFdddRV33nknGzdu5JlnnuGpp54Kl73llls4+eST+fvf/8706dN5++23WblyZbhXokajYfbs2Tz88MP07duXnJwc7rvvPjIyMjjnnHMAGDhwIKeffjrXXHMNL730En6/nxtvvJGLLrrooCsbdxSvK8D2FaGek0NP7sH4c3tjNHd4KC+EEEKIY0iHRhZvv/02q1evZsWKFUekfkVRmD17NhMnTmTIkCEHLdeZVqgTQgghuiqNRhOan/AoDntUgg0Jw4akYjBwwOZXCQaV8D1lX7ngAccBBSWo7t/7919TggrBoIqy717DcTC47756QNlQ+X3lVEWVeRkPYuHChezYsYMdO3aQmZnZ6J6qhpK+sbGxfP3118yaNYvRo0eTlJTE/fffz7XXXhsue/zxx/Pmm29y77338uc//5m+ffvy8ccfN4r57rjjDpxOJ9deey21tbWccMIJfPnll5jN+1f+feONN7jxxhuZMmUKWq2W8847j2efffYIP4W2i04wM/nSAViijWT2l96DQgghhIg8jbovGjvK9uzZw5gxY1i4cGF4LsJJkyYxYsSIgy5ccqBevXoxe/bsJguXHOiGG27giy++4IcffmgShB6ouZ6EWVlZ1NXVERMT0+rPJIQQQghxNNjtdmJjYyVW6STkz0MIIYQQnVlrY5UO60m4atUqysvLGTVqVPhaMBjku+++4/nnn8fr9aLTHX5PhBtvvJHPPvuM7777rsUEIXT8CnVCCCGEEEIIIYQQQnSkDksSTpkyhQ0bNjS6dsUVVzBgwADuvPPOw04QqqrKTTfdxEcffcSSJUvIycmJRHOFEEIIIYQQQgghhDhmdViSMDo6usk8gVFRUSQmJoavz5w5kx49ejBnzhwAfD4fmzdvDh8XFxezdu1abDYbffr0AUILobz55pt88sknREdHU1paCoTmtrFYLEfr4wkhhBBCCCGEEEII0WVoO7oBLSksLKSkpCR8vnfvXkaOHMnIkSMpKSnhySefZOTIkVx99dXhMnPnzqWuro5JkyaRnp4e3t55552O+AhCCCGEEEIIIYQQQnR6Hbq68a8tWbKkxfNevXpxqHVWOmgdFiGEEEIIIYQQQgghuqxO3ZNQCCGEEEIIIYQQQghx5EmSUAghhBBCCCGEEEKIbk6ShEIIIYQQQgghhBBCdHOSJBRCCCGEEEIIIYQQopuTJKEQQgghhBBCCCGEEN2cJAmFEEIIIYQQQgghhOjmJEkohBBCCCGEEEIIIUQ3J0lCIYQQQgghhBBCCCG6OUkSCiGEEEIIIYQQQgjRzek7ugGdkaqqANjt9g5uiRBCCCFEU/tilH0xi+hYEjsKIYQQojNrbewoScJmOBwOALKysjq4JUIIIYQQB+dwOIiNje3oZnR7EjsKIYQQois4VOyoUeUr6CYURWHv3r1ER0ej0WiOyHvY7XaysrLYs2cPMTExR+Q9uhN5npEnzzSy5HlGljzPyJLnGVlH43mqqorD4SAjIwOtVmaP6WgSO3Y98jwjS55nZMnzjDx5ppElzzOyOlPsKD0Jm6HVasnMzDwq7xUTEyP/qCJInmfkyTONLHmekSXPM7LkeUbWkX6e0oOw85DYseuS5xlZ8jwjS55n5MkzjSx5npHVGWJH+epZCCGEEEIIIYQQQohuTpKEQgghhBBCCCGEEEJ0c5Ik7CAmk4kHHngAk8nU0U05JsjzjDx5ppElzzOy5HlGljzPyJLnKY4E+XsVWfI8I0ueZ2TJ84w8eaaRJc8zsjrT85SFS4QQQgghhBBCCCGE6OakJ6EQQgghhBBCCCGEEN2cJAmFEEIIIYQQQgghhOjmJEkohBBCCCGEEEIIIUQ3J0lCIYQQQgghhBBCCCG6OUkSCiGEEEIIIYQQQgjRzUmSsIO88MIL9OrVC7PZzLhx4/jll186ukldwnfffcdvfvMbMjIy0Gg0fPzxx43uq6rK/fffT3p6OhaLhalTp5KXl9cxje0C5syZw9ixY4mOjiYlJYVzzjmHbdu2NSrj8XiYNWsWiYmJ2Gw2zjvvPMrKyjqoxZ3b3LlzGTZsGDExMcTExDBhwgS++OKL8H15lu3z6KOPotFomD17dviaPNPWe/DBB9FoNI22AQMGhO/Ls2y74uJiLr30UhITE7FYLAwdOpSVK1eG78vvJBFJEjseHokdI0tix8iS2PHIktixfSR2jLyuEDtKkrADvPPOO9x222088MADrF69muHDhzNt2jTKy8s7ummdntPpZPjw4bzwwgvN3n/88cd59tlneemll1i+fDlRUVFMmzYNj8dzlFvaNSxdupRZs2bx888/s3DhQvx+P6eddhpOpzNc5tZbb2XBggW89957LF26lL179/Lb3/62A1vdeWVmZvLoo4+yatUqVq5cySmnnMLZZ5/Npk2bAHmW7bFixQrmzZvHsGHDGl2XZ9o2gwcPpqSkJLz98MMP4XvyLNumpqaGiRMnYjAY+OKLL9i8eTN///vfiY+PD5eR30kiUiR2PHwSO0aWxI6RJbHjkSOxY2RI7Bg5XSZ2VMVRd9xxx6mzZs0KnweDQTUjI0OdM2dOB7aq6wHUjz76KHyuKIqalpamPvHEE+FrtbW1qslkUt96660OaGHXU15ergLq0qVLVVUNPT+DwaC+99574TJbtmxRAXXZsmUd1cwuJT4+Xn3llVfkWbaDw+FQ+/btqy5cuFA9+eST1VtuuUVVVfn72VYPPPCAOnz48GbvybNsuzvvvFM94YQTDnpffieJSJLYMTIkdow8iR0jT2LH9pPYMTIkdoysrhI7Sk/Co8zn87Fq1SqmTp0avqbVapk6dSrLli3rwJZ1ffn5+ZSWljZ6trGxsYwbN06ebSvV1dUBkJCQAMCqVavw+/2NnumAAQPIzs6WZ3oIwWCQt99+G6fTyYQJE+RZtsOsWbOYPn16o2cH8vfzcOTl5ZGRkUFubi4zZsygsLAQkGd5OD799FPGjBnD+eefT0pKCiNHjuTll18O35ffSSJSJHY8cuTfaftJ7Bg5EjtGjsSOkSOxY+R0ldhRkoRHWWVlJcFgkNTU1EbXU1NTKS0t7aBWHRv2PT95todHURRmz57NxIkTGTJkCBB6pkajkbi4uEZl5Zke3IYNG7DZbJhMJq6//no++ugjBg0aJM/yML399tusXr2aOXPmNLknz7Rtxo0bx/z58/nyyy+ZO3cu+fn5nHjiiTgcDnmWh2HXrl3MnTuXvn378tVXX3HDDTdw88038/rrrwPyO0lEjsSOR478O20fiR0jQ2LHyJLYMXIkdoysrhI76o/aOwkhOrVZs2axcePGRvNMiLbr378/a9eupa6ujvfff5/LL7+cpUuXdnSzuqQ9e/Zwyy23sHDhQsxmc0c3p8s744wzwsfDhg1j3Lhx9OzZk3fffReLxdKBLeuaFEVhzJgx/O1vfwNg5MiRbNy4kZdeeonLL7+8g1snhBBHnsSOkSGxY+RI7BhZEjtGVleJHaUn4VGWlJSETqdrsupPWVkZaWlpHdSqY8O+5yfPtu1uvPFGPvvsMxYvXkxmZmb4elpaGj6fj9ra2kbl5ZkenNFopE+fPowePZo5c+YwfPhwnnnmGXmWh2HVqlWUl5czatQo9Ho9er2epUuX8uyzz6LX60lNTZVn2g5xcXH069ePHTt2yN/Pw5Cens6gQYMaXRs4cGB4GI78ThKRIrHjkSP/Tg+fxI6RI7Fj5EjseGRJ7Ng+XSV2lCThUWY0Ghk9ejSLFi0KX1MUhUWLFjFhwoQObFnXl5OTQ1paWqNna7fbWb58uTzbg1BVlRtvvJGPPvqIb7/9lpycnEb3R48ejcFgaPRMt23bRmFhoTzTVlIUBa/XK8/yMEyZMoUNGzawdu3a8DZmzBhmzJgRPpZnevjq6+vZuXMn6enp8vfzMEycOJFt27Y1urZ9+3Z69uwJyO8kETkSOx458u+07SR2PPIkdjx8EjseWRI7tk+XiR2P2hIpIuztt99WTSaTOn/+fHXz5s3qtddeq8bFxamlpaUd3bROz+FwqGvWrFHXrFmjAuo//vEPdc2aNWpBQYGqqqr66KOPqnFxceonn3yirl+/Xj377LPVnJwc1e12d3DLO6cbbrhBjY2NVZcsWaKWlJSEN5fLFS5z/fXXq9nZ2eq3336rrly5Up0wYYI6YcKEDmx153XXXXepS5cuVfPz89X169erd911l6rRaNSvv/5aVVV5lpFw4Ap1qirPtC1uv/12dcmSJWp+fr76448/qlOnTlWTkpLU8vJyVVXlWbbVL7/8our1evWRRx5R8/Ly1DfeeEO1Wq3qf//733AZ+Z0kIkVix8MnsWNkSewYWRI7HnkSOx4+iR0jq6vEjpIk7CDPPfecmp2drRqNRvW4445Tf/75545uUpewePFiFWiyXX755aqqhpYNv++++9TU1FTVZDKpU6ZMUbdt29axje7EmnuWgPraa6+Fy7jdbvUPf/iDGh8fr1qtVvXcc89VS0pKOq7RndiVV16p9uzZUzUajWpycrI6ZcqUcJCnqvIsI+HXgZ4809a78MIL1fT0dNVoNKo9evRQL7zwQnXHjh3h+/Is227BggXqkCFDVJPJpA4YMED95z//2ei+/E4SkSSx4+GR2DGyJHaMLIkdjzyJHQ+fxI6R1xViR42qqurR67cohBBCCCGEEEIIIYTobGROQiGEEEIIIYQQQgghujlJEgohhBBCCCGEEEII0c1JklAIIYQQQgghhBBCiG5OkoRCCCGEEEIIIYQQQnRzkiQUQgghhBBCCCGEEKKbkyShEEIIIYQQQgghhBDdnCQJhRBCCCGEEEIIIYTo5iRJKIQQQgghhBBCCCFENydJQiFEl/X73/+ec84556i/7/z589FoNGg0GmbPnt3uuuLi4iLSriNt0qRJ4c+9du3ajm6OEEIIIUSbSOx4dEnsKETXo+/oBgghRHM0Gk2L9x944AGeeeYZVFU9Si1qLCYmhm3bthEVFdWuei688ELOPPPMCLVqP41Gw0cffRTRQPjDDz9k586dHHfccRGrUwghhBAiEiR2bB+JHYUQIElCIUQnVVJSEj5+5513uP/++9m2bVv4ms1mw2azdUTTgFAglZaW1u56LBYLFoslAi068hISErDb7R3dDCGEEEKIJiR27HwkdhSi65HhxkKITiktLS28xcbGhgOrfZvNZmsyZGTSpEncdNNNzJ49m/j4eFJTU3n55ZdxOp1cccUVREdH06dPH7744otG77Vx40bOOOMMbDYbqampXHbZZVRWVra5zb169eLhhx9m5syZ2Gw2evbsyaeffkpFRQVnn302NpuNYcOGsXLlyvBrfj1k5MEHH2TEiBH85z//oVevXsTGxnLRRRfhcDgavc/TTz/d6L1HjBjBgw8+GL4PcO6556LRaMLnAJ988gmjRo3CbDaTm5vLQw89RCAQAEBVVR588EGys7MxmUxkZGRw8803t/k5CCGEEEIcbRI7SuwohGg/SRIKIY4pr7/+OklJSfzyyy/cdNNN3HDDDZx//vkcf/zxrF69mtNOO43LLrsMl8sFQG1tLaeccgojR45k5cqVfPnll5SVlXHBBRcc1vs/9dRTTJw4kTVr1jB9+nQuu+wyZs6cyaWXXsrq1avp3bs3M2fObHGoy86dO/n444/57LPP+Oyzz1i6dCmPPvpoq9uwYsUKAF577TVKSkrC599//z0zZ87klltuYfPmzcybN4/58+fzyCOPAPDBBx/w1FNPMW/ePPLy8vj4448ZOnToYT0HIYQQQoiuQGJHiR2FEPtJklAIcUwZPnw49957L3379uXuu+/GbDaTlJTENddcQ9++fbn//vupqqpi/fr1ADz//POMHDmSv/3tbwwYMICRI0fy6quvsnjxYrZv397m9z/zzDO57rrrwu9lt9sZO3Ys559/Pv369ePOO+9ky5YtlJWVHbQORVGYP38+Q4YM4cQTT+Syyy5j0aJFrW5DcnIyAHFxcaSlpYXPH3roIe666y4uv/xycnNzOfXUU/nrX//KvHnzACgsLCQtLY2pU6eSnZ3NcccdxzXXXNPmZyCEEEII0VVI7CixoxBiP0kSCiGOKcOGDQsf63Q6EhMTG32jmZqaCkB5eTkA69atY/HixeF5amw2GwMGDABC38q25/33vVdL79+cXr16ER0dHT5PT09vsXxrrVu3jr/85S+NPus111xDSUkJLpeL888/H7fbTW5uLtdccw0fffRReDiJEEIIIcSxSGLHg5PYUYjuRxYuEUIcUwwGQ6NzjUbT6Nr/s3ff8VGU+QPHP7N903slJKFIC72DIqgnKqKooKAiYjkVFRH1FOtZTs7fnRycBSwUEbEDJyoC0iz03kOoIb1nU7fO749NQiKBBAQ25ft+Oc7MM88z+W4WyOS7T6lc+c7lcgFQXFzM8OHDeeutt067V2Rk5J/6+pVf62xfv657VLapXl+j0Zw25MRut9cZW3FxMa+++iq33nrraddMJhMxMTEkJiby888/s3LlSiZMmMC//vUv1q1bd1pMQgghhBBNgTw7npk8OwrR/EiSUAjRrPXo0YNvv/2WuLg4dLrG8U9iaGhojRX8LBYLx44dq1FHr9fjdDprlPXo0YPExETatGlzxnubzWaGDx/O8OHDefTRR2nfvj179uyhR48eF/ZFCCGEEEI0QvLsWJM8OwrRtMhwYyFEs/boo4+Sl5fHmDFj2LJlC0eOHGH58uWMHz/+tAelhuKqq67i008/5ddff2XPnj2MGzcOrVZbo05cXByrVq0iIyOD/Px8AF5++WXmz5/Pq6++yr59+zhw4ABffPEFL774IuBeLW/27Nns3buXo0ePsmDBAsxmM7GxsZf8NQohhBBCNETy7CjPjkI0ZZIkFEI0a1FRUfz+++84nU6uvfZaOnfuzKRJkwgICECjaZj/RE6ZMoUrr7ySG2+8kWHDhjFixAhat25do87bb7/NypUriYmJoXv37gAMHTqU77//nhUrVtC7d2/69evHf/7zn6oHuYCAAD766CMGDhxIly5d+Pnnn1m6dCnBwcGX/DUKIYQQQjRE8uwoz45CNGWKera11IUQQpxm3rx5TJo0iYKCAk+HcskdP36c+Ph4duzYQbdu3TwdjhBCCCFEgyfPjvLsKERj0TA/6hBCiAausLAQHx8fnn32WU+Hcslcf/31dOrUydNhCCGEEEI0OvLsKIRoDKQnoRBCnKOioiIyMzMB9zCLkJAQD0d0aaSmplJWVgZAy5YtMRgMHo5ICCGEEKLhk2dHeXYUorGQJKEQQgghhBBCCCGEEM2cDDcWQgghhBBCCCGEEKKZkyShEEIIIYQQQgghhBDNnCQJhRBCCCGEEEIIIYRo5iRJKIQQQgghhBBCCCFEMydJQiGEEEIIIYQQQgghmjlJEgohhBBCCCGEEEII0cxJklAIIYQQQgghhBBCiGZOkoRCCCGEEEIIIYQQQjRzkiQUQgghhBBCCCGEEKKZkyShEEIIIYQQQgghhBDNnCQJhRBCCCGEEEIIIYRo5iRJKIQQQgghhBBCCCFEMydJQiGEEEIIIYQQQgghmjmdpwNoiFwuF2lpafj6+qIoiqfDEUIIIYSoQVVVioqKiIqKQqORz3w9TZ4dhRBCCNGQ1ffZUZKEtUhLSyMmJsbTYQghhBBCnNXJkydp0aKFp8No9uTZUQghhBCNQV3PjpIkrIWvry/g/ub5+fl5OBohhBBCiJosFgsxMTFVzyzNRWpqKs8++yzLli2jtLSUNm3aMHfuXHr16lVr/XvvvZdPPvnktPKOHTuyb98+AKZOncqiRYs4ePAgZrOZAQMG8NZbb9GuXbt6xyXPjkIIIYRoyOr77ChJwlpUDhPx8/OTBz0hhBBCNFjNaWhrfn4+AwcOZMiQISxbtozQ0FCSkpIIDAw8Y5sZM2bwz3/+s+rc4XDQtWtXRo0aVVW2bt06Hn30UXr37o3D4eD555/n2muvZf/+/Xh7e9crNnl2FEIIIURjUNezoyQJhRBCCCFEg/fWW28RExPD3Llzq8ri4+PP2sbf3x9/f/+q8yVLlpCfn8/48eOryn766acabebNm0dYWBjbtm1j0KBBFyh6IYQQQoiGT2a6FkIIIYQQDd53331Hr169GDVqFGFhYXTv3p2PPvronO4xe/ZsrrnmGmJjY89Yp7CwEICgoKAz1rFarVgslhqbEEIIIURjJ0lCIYQQQgjR4B09epSZM2fStm1bli9fziOPPMLEiRNrnXOwNmlpaSxbtowHHnjgjHVcLheTJk1i4MCBJCQknLHe1KlTq3op+vv7y6IlQgghhGgSFFVVVU8H0dBYLBb8/f0pLCyUeWWEEEII0eA0x2cVg8FAr169WL9+fVXZxIkT2bJlCxs2bKiz/dSpU3n77bdJS0vDYDDUWueRRx5h2bJl/Pbbb2dd+c9qtWK1WqvOKycDb07vhxBCCCEaj/o+O0pPQiGEEEII0eBFRkbSsWPHGmUdOnQgOTm5zraqqjJnzhzGjh17xgThY489xvfff8+aNWvOmiAEMBqNVYuUyGIlQgghhGgqZOESIYQQQgjR4A0cOJDExMQaZYcOHTrr/IKV1q1bx+HDh7n//vtPu6aqKo8//jiLFy9m7dq1dS6GIoQQQgjRVElPQiGEEEII0eA9+eSTbNy4kTfffJPDhw+zcOFCPvzwQx599NGqOlOmTOGee+45re3s2bPp27dvrfMMPvrooyxYsICFCxfi6+tLRkYGGRkZlJWVXdTXI4QQQgjR0EiSUAghhBBCNHi9e/dm8eLFfP755yQkJPD6668zffp07rrrrqo66enppw0/Liws5Ntvv621FyHAzJkzKSwsZPDgwURGRlZtX3755UV9PUIIIYQQDY0sXFKL5jgZuBBCCCEaD3lWaVjk/RBCCCFEQyYLlwghhBBCCCGEEEIIIepFkoRCCCGEEEIIIYQQQjRzkiQUQgghhBBCCCGEEKKZkyShEEIIIYQQQgghhBDNnM7TAQC89957/Otf/yIjI4OuXbvyzjvv0KdPnzPW//rrr3nppZc4fvw4bdu25a233uKGG26oun7vvffyySef1GgzdOhQfvrpp4v2Gs6V0+HixN5cYjoEoTdqPR2OEEIIIYQQQgghRIOgqiou1b1XAVUFFdW9r35MzTqc5ZpKRSGcfs9qX7f68r5V7aqOq9Wr/JoVd1RruTfV6py6XrMcwKTX0CbM989+2/40jycJv/zySyZPnsysWbPo27cv06dPZ+jQoSQmJhIWFnZa/fXr1zNmzBimTp3KjTfeyMKFCxkxYgTbt28nISGhqt51113H3Llzq86NRuMleT31tfjt7WQes3DN+I606xvh6XCEEEIIIYQQQghRwelSsTtdOFwqjqq9isPlqrimVtVxulQcLrViX+3cqeJU1WrXXThd/GGv4lT/WAZOVcXlcrd3VR67wFVxP6eqolYeV5RXXlPVU/UqE20u1f111Kr7uetU1nWp1evyh/NqCbtq1yrbVyX0OL2eCrhcpxJxrj9co9px5X2aow6Rfix74gpPh+H5JOG0adN48MEHGT9+PACzZs3ihx9+YM6cOTz33HOn1Z8xYwbXXXcdzzzzDACvv/46K1eu5N1332XWrFlV9YxGIxERDTf5FpsQTOYxCwc3pEuSUAghhBBCCCFEs6OqKlaHq2JzYrVXO3a4Ks6d2Crq2BwubE5Xxbm73OZwYXW6sDtUbE4ndoc7cVdZz+50YXeq2JzuY4fz1PUa545TiUC7y1Wjl5doOhQFFEBRFJQaZe4LSsU5uMuq13eXVf6v2n2qnVPLvavudlq9iq8LhPgYLuTLPG8eTRLabDa2bdvGlClTqso0Gg3XXHMNGzZsqLXNhg0bmDx5co2yoUOHsmTJkhpla9euJSwsjMDAQK666ireeOMNgoODa72n1WrFarVWnVsslvN8RfXXrm8Em5ceIyUxn6K8cnyDTBf9awohhBBCCCGEEPVld7ootTkptTkosZ7al9lPnZfZnJTZXZTZHJTZnZTanJTZnZTbnRXX3NetFWXldhfljlPHjYlWo6DVKOgr91oNWo2CTqOg1SroNZqqOjqtglajcV+rrFO5KQqairLK/R/LtIqCRqHqWFu9/A/XNYqCVgMapfK45jWNcuqaplq9ymtK9Toad+JKozlVVpkMq7ynQrV9xX0UxZ30qjrm1L2VGvdxH0Pt9VFOJeeqt1FQUDQ1E3xKtbpQ/V5/qHMqUyfq4NEkYU5ODk6nk/Dw8Brl4eHhHDx4sNY2GRkZtdbPyMioOr/uuuu49dZbiY+P58iRIzz//PNcf/31bNiwAa329Pn/pk6dyquvvnoBXlH9+YWYiWobQFpSAYc2Z9DzurhL+vWFEEIIIYQQQjRNNocLS7mdonIHRdX2lnIHReUOLGV2iq0OissdFNsclFQeWx2UVCQCi60ObI5Ll8RTFDDqNBh1Wvde7z42aCuPNRgqz3WV5xWb1r3XV+0VDFoN+soyrXuv1yoVe/exruKaTqu4zzWVx+7knq6ynsa9l2STaOo8Ptz4Yhg9enTVcefOnenSpQutW7dm7dq1XH311afVnzJlSo3eiRaLhZiYmIseZ7t+EaQlFZC4MYMeQ2PlHxwhhBBCCCGEEIB7KG6pzUl+qY2CUjv5pTbyS+0UlNrIL7FTWHZqs5TVPC+zOy9oLAatBrNBi7dB694bdXgZtHgZdJgNWsx6LV4Ve1PlscF9XFlm0mvce50Ws8GdADTptRj1Gkw6rSThhGgAPJokDAkJQavVkpmZWaM8MzPzjPMJRkREnFN9gFatWhESEsLhw4drTRIajUaPLGzSpkcYv35xiPyMUrKOFxEe73fJYxBCCCGEEEIIcfGpqkqJzUl2kZWcYiu5xTbySmzkFlvJLXEf55XYyCm2uhOCJXZszj/Xk8/HqMPXVLnp/7DX4WvU4W3U4VOxeRt1+JhOHXtXJAINOs0F+i4IIRoyjyYJDQYDPXv2ZNWqVYwYMQIAl8vFqlWreOyxx2pt079/f1atWsWkSZOqylauXEn//v3P+HVSUlLIzc0lMjLyQob/pxnMOlp1D+XQ5kwObkyXJKEQQgghhBBCNDKqqpJXYiPDUk6mpZyMQivZRVayi8vd+yIr2cVWcops59XDz6DVEOClJ9DLULUP9Nbjbzbgb9aftvmZdfib9fia9Gg10jNPCFF/Hh9uPHnyZMaNG0evXr3o06cP06dPp6SkpGq143vuuYfo6GimTp0KwBNPPMGVV17J22+/zbBhw/jiiy/YunUrH374IQDFxcW8+uqr3HbbbURERHDkyBH+9re/0aZNG4YOHeqx13km7fpFcGhzJklbM7l8ZFu0evmERgghhBBCCCEagsoEYGpBGWkFZaQWlJNWUOZOCBaWk2EpJ8tiPacef94GLcE+RoJ9DAR7GwjyNrjPqx0HVSQCA70MeBm0MgxXCHFJeDxJeMcdd5Cdnc3LL79MRkYG3bp146effqpanCQ5ORmN5lTibMCAASxcuJAXX3yR559/nrZt27JkyRISEhIA0Gq17N69m08++YSCggKioqK49tpref311z0ypLguLdoH4R1gpKTAyvG9ObTuHubpkIQQQgghhBCiWahMAp7IK+VkXinJuaWk5JeRVlhWlRis7wq8IT4Gwv1MRPiZCPMzEupjJNTXSEjFvvLY2+jxX8OFEKJWiqqqqqeDaGgsFgv+/v4UFhbi53fxhwBvWHyY7cuTiesSwrAJXS761xNCCCFE43apn1XE2cn7IUTD5nKppFvKOZZdwrGcYpLzSjmRW0pyRWKwxFb3EOAwXyNRAWaiA81E+ZuI8DcT4Wciwt9IuJ+JMF+TzNsnhGiw6vusIh9hNADt+kayfXkyyXtzKSuyYfY1eDokIYQQQgghhGhUCsvsHMku5lh2CUdzijmWU8LR7BKO55bU2Rsw0t9ETJAXMYFexASZiQ6o2ALNRPibMOq0l+hVCCGE50iSsAEIivImLNaXrBNFHNqSSderYjwdkhBCCCGEEEI0SJZyO0mZxSRlFnEos5ikrCIOZRaRabGesY1eq9AyyIv4EG9ig71pGeRFyyAvYoK8aBFoxqSXJKAQQkiSsIFo1y+SrBNFJG7MkCShEEIIIYQQotlzulSO55awP83CvjQLB9ItHMosIr2w/IxtIvxMtAr1Jj7EvbUO9SE+xJsWgWZ0WhkOLIQQZyNJwgaibe8wfv8miezkInJTiwmO9vF0SEIIIYQQQghxSZTbnRzMKGJfWiH70yzsT7dwML2IMnvt8wWG+xm5LNyXtmG+tIvwoW24L23DfPA16S9x5EII0XRIkrCBMPsYiE0I5tiuHBI3ZjDgtjaeDkkIIYQQQgghLjinS+VwVjG7ThawM6WAXScLSMwowuE6fU1Ns15L+0hfOkb60SHSj/YRvrQN98XfLMlAIYS40CRJ2IC07x/pThJuzqDfiFZopDu8EEIIIYQQopHLspSz9UQ+O08WsPNkAXtTCymtZUXhEB8DHaP86RjpR8coPzpG+hEf4o1Wo3ggaiGEaH4kSdiAxCYEY/LWU1po4+TBfGI7BXs6JCGEEEIIIYSoN1VVOZJdwtbjeWw5ns/WE3mcyC09rZ63QUvnFv50jQmgW4sAusYEEOlvQlEkISiEEJ4iScIGRKvT0LZ3OHvWppC4IV2ShEIIIYQQQogGzelS2Z9mYePRXDYfz2PbiXzySmw16igKtI/wo3vLALrFuLfWoT7SQ1AIIRoYSRI2MO37R7BnbQpHd+VgLXNgNMtbJIQQQgghhGgY3D0Fi/n9cC7rj+Sw8WgehWX2GnWMOg3dYgLoHRdEr7hAesQG4icLigghRIMnGagGJrSlL4GR3uSnl3BkWxYdL4/ydEhCCCGEEEKIZiytoIzfDuew/nAO64/kklVkrXHd16ijb6sg+sQH0SsuiIQofww6mV9dCCEaG0kSNjCKotC+XwQbFh/h4MZ0SRIKIYQQQgghLim708X2E/msScxmzcEsEjOLalw36jT0igtkQOsQBrYJISHKD50suiiEEI2eJAkboMv6RLBxyRHSDxdSmF2Kf6iXp0MSQgghhBBCNGHZRVbWHXInBX9Jyqao3FF1TaNA15gABrYOYUCbYHq0DMSk13owWiGEEBeDJAkbIJ9AIy06BHFyfx6JGzPoM7yVp0MSQgghhBBCNDGHs4pZvi+DFfsy2JVSWONaoJeewe3CGNwulCsvCyXAy+ChKIUQQlwqkiRsoNr3i+Dk/jwObsyg97B4FFn5SwghhBBCCPEnqKrK/nQLP+3N4Ke9GSRlFde4nhDtx1XtwhjcPoyuLQJk9WEhhGhmJEnYQMV3C8Vg0lKUW07qoXxatA/ydEhCCCGEEEKIRsblUtlxsoDl+9yJweS80qpreq3CgNYhXJcQwdXtwwjzM3kwUiGEEJ4mScIGSm/Q0rZPBPt+SeXA+nRJEgohhBBCCCHq7WCGhSU70vhuZyppheVV5Sa9hisvC+X6hEiGtA/D36z3YJRCCCEaEkkSNmAdBkSy75dUjuzIZlCpHaOX/AAXQgghhBBC1C6toIzvdqWxZEcqBzNOrUjsY9RxVfswrk+I4Mp2oXgZ5NdAIYQQp5OfDg1YWKwvwdHe5KaWkLQlk4QrW3g6JCGEEEIIIUQDUlhmZ9medJbsTGXTsTxU1V1u0GoY3C6UW7pHM6R9mKxGLIQQok6SJGzAFEWhw4Aofvs6if2/p0uSUAghhBBCCIGqqmw8mscXW5JZtjcDm8NVda1vfBAjukdzQ0Ik/jISSQghxDmQJGEDd1nfcNYvOkx2chE5KUWEtPD1dEhCCCGEEEIID8gusvLNthS+3JLM8dxTC5C0C/dlRPdobuoWRXSA2YMRCiGEaMwkSdjAmX0MxHcN4cj2bA6sT+eK2yVJKIQQQgghRHPhdKn8mpTNF5tP8vOBTBwu93hib4OWm7pFM6ZPDJ2j/VEUxcORCiGEaOwkSdgIdBgQxZHt2SRuymDALW3Q6jWeDkkIIYQQQghxEeWX2Fi4OZmFm5JJLSirKu8WE8CYPjHc2CUKb6P8OieEEOLCkZ8qjUBMxyC8A4yUFFg5tjuHNj3DPB2SEEIIIYQQ4iJIzChi7u/HWLwjFWvFXIN+Jh239mjB6D4xtI/w83CEQgghmipJEjYCGo1C+/4RbFt2ggO/p0mSUAghhBBCiCbE5VJZfTCLueuP8fvh3KryTlF+jB8Yz41dImV1YiGEEBedJAkbifb9I9m27ATJB/IoyivHN8jk6ZCEEEIIIYQQf0Kx1cHXW0/yyfrjVQuRaBQY2imC8QPj6R0XKHMNCiGEuGQkSeghS7MK+DQth7cuiyHey1hn/YAwL6LaBpCWVEDixnR63RB/CaIUQgghhBBCXGh5JTbm/HaMTzYcp6jcAYCvSceYPi0Z2y+WmCAvD0cohBB/jqqqqKi4VBeqquLCVXXsVJ24VPd0Ci61orxa3crjyvIa96o8r7hn5bXKc1RO1avWtvo9qsdX/X5/bFOjXrXr7v/OUl69fcV5Xcf+Bn+ujr36kr5HtZEkoYcsTM/ll/xiPk/P5fnWUfVq03FgJGlJBRxYn07P6+JQNPKpohBCCCGEEI1FRmE5H/5ylM83J1NmdwLQKsSb8QPjuLVHC1mIRIhGyOlyYnfZqzaHy1G1VT+vOlYdOF3OU/XUU/WdqrPm3uWsql/9WuX5H49dqguHy4FLdVVdqzx2qS4casU1lxOVimSdy329+nllQu+P9SrLK++pqqcSd06XsyppV1km6q9dYDtJEjZnd0UGsyaviC8y8ngmPhJ9PRJ+rXqEof/iEJacclKTCmjRLvASRCqEEEIIIYT4M07kljBr3RG+2ZaC3en+xTkh2o/HhrTh2o4RaOTDfyHOmdPlpNxZTrmjnHJnOVanFavD6t5X28od5dicNqxOKzanDZvLfWx32qvq2F32qjKby3ba3ua01UgCVl132at6pok/R0FBo2hQFAUNFXtFg4JSVYZCVZlG0QDUqFN1j4rz2q5X7avVqf41FU6VVa+noOD+7w9lFXUrX0P1dmeqX728sn0LnxaX7Ht9NpIk9JBrQ/wI0evIsjn4ObeQ60MD6myjN2hp2zuc/b+mcWB9miQJhRBCCCGEaMASM4qYufYw3+1Kw1XRqaZPfBCPDmnDoLYhMt+gaPIcLgeljlJK7RWb49S+xF5SdV7mKKPMUUa5o7zquEaZ072vTAiWO8qxu+yefnm10igadIoOvVaPTqNDr3HvdYrOva8o0yraqnOtRlujjlbRusuUU9cr61fev7Kssm5luUbRVJ1XXv9jWfV95Va9XFGUGterl1Um1DQaDRpOXat+r8oEXuU9qtooNZN/lXWrJ+yEZ0mS0EMMGg13RAbxXnIWC9Ly6pUkBOg4IIr9v6ZxZHs2g+6wY/TSX9xAhRBCCCGEEOfkSHYx01Ye4ofd6VVlg9uF8uiQNvSOC/JgZELUn91px2KzUGwvpshW5D62uY+LbEUU2d37EnsJxbZi995ec1/mKLsksRq1RoxaIyatCYPWgElnqiqr3AxaQ9W+8liv0dco02v07mONAb1WX/teo0ev1bv3lZv2VCJQq5GVyEXjJUlCD7qzIkm4Js9CarmNaJOhzjZhcb4ERXmTl1ZC0tYsEgZFX4JIhRBCCCGEEHVJLSjjvz8n8c32FJwuFUWB6xMimDC4DQnR/p4OTzRTLtVFka2I/PJ8CqwFp/bWfAqthRRaC7HYLFisFgpthVVlpY7SCxaDTtHhpffCW++Nl84LL33FVnFs1pkx68yYtKaqc5PW5N7rTKeuVyT/Kq9XnksvNCEuDEkSelBrLxP9A7zZUFDCF+l5PBUfUWcbRVHoMCCS3785zIHf0yRJKIQQQgghhIflFFt5b81hPtuYjM3pnp/smg7hPHXtZXSI9PNwdKIpKrWXkluWS255Lnnlee59Wd6p87Jc8svzqxKBTtV53l/LW++Nr8HXvel98TP44WPwwdfgi4/evffWe+Oj98HH4FN17K33rjrWa2UEnBCNgSQJPezuyGA2FJSwMD2XSXHhaOvxCUi7vhFsWHSErBNF5KQUE9LC5xJEKoQQQgghhKjOUm7no1+OMvu3Y5Ta3EmYfq2CeGZoe3rGyvzh4tyVO8rJLM0ksyST7LJsskuz3fuK45yyHLLLsimxl5zzvX30PgQYAwg0BRJgDCDAGIC/0R9/oz9+Br+qY3+DP35GP/wN/vgYfNBpJG0gRHMhf9s9bFhoAC8kpZJqtfNLXhFDguv+pNHsayCuawhHd2RzcH06l9/e9hJEKoQQQgghhACwOpx8sv447605QmGZe/GEri38eWZoewa2CZahj6JWdpedzJJM0kvSSS9JJ6Mkg8ySTDJLM93HpZkUWAvqfT+T1kSwOZhgUzBBpiCCzTX3QaYgAk2BBBrdSUHpzSeEqIskCT3MpNVwW3ggs1NzWJCeW68kIUCHAZEc3ZFN4qYM+t/SGq1ec5EjFUIIIYQQonlTVZWV+zP5x48HOJHrnq+tbZgPT13bjqGdwiU52Mw5XU4ySzM5WXSStOI0UotTq/bpJelklmbiUl113sesMxPuFU6oVyih5orN69Q+xBxCqDkUH4OMKBNCXFiSJGwA7o4KZnZqDstzCsm22Qk11P0JT8uOQXj7GygptHF0VzZte4VfgkiFEEIIIYRong5mWHj9+/38fjgXgFBfI88MbcdtPVqg1UhysLmwu+ykFaeRbEnmZNFJThadJLkomWRLMqnFqdhd9rO2N2gMRPpEEuEdQYRXBBHeEYR7hxPuFe4+9grHz+AnCWchhEdIkrAB6OBjpoefF9stpXyZnsdjsXUn/DRaDR0GRrH1x+Ps+zVNkoRCCCGEEEJcBHklNqatTGThpmRcKhh0Gh64PJ4JQ9rgY5Rfp5oqi83C8cLjHCs8dmqzHOOk5SQO1XHGdjqNjhY+LYj2jSbKO4oonyiifaKJ9I4k2ieaYHMwGkVGgQkhGib5qdZA3BUZzHZLKQvT83i0ZVi9PjnqMDCSrcuOk5qYT0FmKQHhXpcgUiGEEEIIIZo+u9PF/A0nmPHzISzl7qTQ9QkRPH9DB2KC5Lm7qSixl5CUn0RSQRKH8w9zuOAwRwuPklOWc8Y2Zp2ZFr4taOnbkpa+Ld3Hfi2J8Y0hwisCrUZ7CV+BEEJcOJIkbCBGhAXw8uFUjpZZ2VBQwoDAuueX8As207JjMMn7ctn/WxoDbmtzCSIVQgghhBCiaVt/JIeXluzlSLZ7BdkOkX68Mrwj/VoFezgycb6cLicnik5wMPcgSQVJJOUncbjgMKnFqWdsE+YVRrx/PPF+8cT5xxHvH08r/1aEeYVJb0AhRJMkScIGwlun5ZawQBak5/JZem69koQAna6IInlfLgc2pNP3playgIkQQgghhBDnKa/Exj9+OMC321MACPEx8PS17RjVK0bmHWxE7C47RwuOsj93PwfyDnAg9wCJ+YmUOcpqrR9mDqNtYFvaBLShbWBbWge0Js4vThYGEUI0O5IkbEDuigpmQXou32cX8IY9mkB93W9PXOdgvAOMlBRYObozm7a9ZW5CIYQQQgghzoWqqnyzLYU3fzxAfqkdRYGx/WJ5emg7/Ex1LyooPMelujheeJzdObvZnb2bfbn7SMpPqnUBEbPOzGWBl3FZ4GW0DWxL24C2tA1si7/R3wORCyFEwyNJwgakm6+Zjt4m9peU821mPg+0CK2zjXsBk0i2/nCcfb+mSpJQCCGEEEKIc3Aku5jnF+1h07E8ANpH+DL11s50bxno4chEbQrKC6oSgnty9rAnew9F9qLT6vnqfekQ3IEOQR2q9rF+sTJfoBBCnIUkCRsQRVG4KyqYF5JS+Swtl/ujQ+q1gEnHgVFs+/E4qYcKyM8oITDC+xJEK4QQQgghRONVbncyc+0RZq49gs3pwqzX8uRf2jJ+YDx6rUzh0xCoqkpqcSrbMrexLXMb27O2c8Jy4rR6Jq2JjsEd6RLahYSQBDoGd6SFT4t6/S4lhBDiFEkSNjC3hQfy+pE0DpSUs8NSSg//uhN+vkEmYhOCOb7HvYDJwJFtL0GkQgghhBBCNE6bjuYyZdEejua4FyYZ0i6U125OkFWLPUxVVY4VHmNr5taqxGBmaeZp9eL84ugS2oUuIV3oEtqFNoFt0GtkWLgQQvxZkiRsYAL0Om4MDeCbzHwWpOfWK0kI0PGKaI7vyeXghgz63twKnV660QshhBBCCFFdud3Jv5YnMuf3Y6gqhPoa+fvwTtzQOUJ6nXlIanEqG9I2sCFtA1szt5JXnlfjuk7R0SmkEz3De9IzvCddQ7vKHIJCCHGRSJKwAborKphvMvNZklXAa22i8dHVnfCL7RSET6CR4nwrR3dkc1mfiEsQqRBCCCGEEI3DrpMFTP5qJ0ey3b0HR/eO4flhHWRhkkvMYrOwJX0LG9LdicHkouQa141aI11Du1YlBTuHdMZLLz08hRDiUpAkYQPUz9+bNl5GDpdaWZJVwN1RwXW2cS9gEsWW74+x79c0SRIKIYQQQggB2Bwu3lmdxPtrj+B0qYT5Gnnrti4MaR/m6dCaBZfq4kDuAdalrGN92nr25uzFqTqrrmsVLZ1DOtM/qj/9IvuREJKAQWvwYMRCCNF8yYy8DZCiKNwZ6U4MfpqWU+92HQdGoiiQllRAXnrJxQpPCCGEEMIjUlNTufvuuwkODsZsNtO5c2e2bt16xvr33nsviqKctnXq1KlGvffee4+4uDhMJhN9+/Zl8+bNF/uliEskMaOIW97/nXdWH8bpUrmpaxQrnhwkCcKLrNReyurk1fx9/d+5+uurGf3DaGbumsmu7F04VSdxfnGMbjeaGUNm8OvoX/n0hk+Z0G0CPcJ7SIJQCCE8SHoSNlC3RwTxz6Pp7CoqY1dRKV196+5i7xNoIrZzCMd357D/tzQuHyULmAghhBCiacjPz2fgwIEMGTKEZcuWERoaSlJSEoGBgWdsM2PGDP75z39WnTscDrp27cqoUaOqyr788ksmT57MrFmz6Nu3L9OnT2fo0KEkJiYSFiaJpMbK6VL56NejTFtxCJvTRaCXnjdGdGZYl0hPh9ZkZZRksO7kOtamrGVz+mZsLlvVNS+dFwOjB3J59OX0j+xPpI+8D0J4mqqq4HSiOp3uvct1au9w1Dx3OlGdLnCdvsflctdxuU5dqzivcc3lAqcLVNcfrqvu46pytfZjlWr1/tCm8hrq2c9VFVWtOFfV0+uoqntDdX9/XOqpsurl1eueV7n7XKWyDAwxMUS8/NKl/UNQC0kSNlAhBh03hgWwKDOfT1JzmNa+Zb3adboiiuO7czi4MZ1+I2QBEyGEEEI0DW+99RYxMTHMnTu3qiw+Pv6sbfz9/fH3P7XAwZIlS8jPz2f8+PFVZdOmTePBBx+sKps1axY//PADc+bM4bnnnrvAr0JcCin5pUz6YidbT+QDcHX7MKbe1pkwX5OHI2t6TlpOsuLEClaeWMm+3H01rkX7RHNliyu5MuZKeoX3kh6CoslQVRXsdlw2O6rNimqzndrsdvd2puOqMjuqw+E+dpwqx+FAtTvc1xwOVMcfypwO97mjIrnncKBWJvoc9prlLldF/T+WuY+rklWiQXC0b+/pEABJEjZo46KCWZSZz+LMfF5uHUWAvu63q2WnYHyCjBTnWTmyPZt2fWVuQiGEEEI0ft999x1Dhw5l1KhRrFu3jujoaCZMmMCDDz5Y73vMnj2ba665htjYWABsNhvbtm1jypQpVXU0Gg3XXHMNGzZsOON9rFYrVqu16txisZzHKxIXw097M/jbN7uwlDvwMep4eXhHRvVsISsXX0AnLCdYeWIlK46v4EDegapyjaKha2hXBrUYxOAWg2kd0Fq+7+KSUJ1OXGXlqGWluMrLcZWVoZaX4yotw1VecVxWjlpehqvcimotx1VejlpuxWUtRy0rd++tNlSrFdVqxWWrfmw9da0iGdjkKQpotSgazel7jQa0GhSNtuZeqVkXjeK+ptG4/y2obKdU3KPadTRKzfKzHVfeS+OeQgSl8l4a4A/XKs8VBUWjuNtWlblfZ9U9FOUMZe7yM5dVlFd+32rco+Lr1VpOtWsK2mofanqSJAkbsD7+3rT3NnGwpJyvM/J5MCa0zjYajULHgVFsXnqMfb+mSpJQCCGEEJfc7t27z7lNx44d0enO/Gh69OhRZs6cyeTJk3n++efZsmULEydOxGAwMG7cuDrvn5aWxrJly1i4cGFVWU5ODk6nk/Dw8Bp1w8PDOXjw4BnvNXXqVF599dV6vCpxqZTbnUz98QCfbDgBQLeYAN4Z052YIFkV90I4Xnic5ceXs+LECg7lH6oq1ypaekf05i+xf+GqllcRYg7xYJSisVDtdpzFxbiKinAVF7uPS0pwlZRW7KttpaWn9mVluEpL3cnAkmrn1T608QidDo3BgFK56fWnturnBgOKTodicJ+j07nLdXp3uV6Pote5y3W6auUVZVpd1bmi04FWh6LTuhNzOj2KToui1f6hXFeRtKso02hRtJo/XKts94dkoGiWJEnYgCmKwrjoEKYcSmF+Wg4PtAip16dxHQdGseWH46QfLiQ3rZjgKJ9LEK0QQgghhFu3bt1QFMU9JKseNBoNhw4dolWrVmes43K56NWrF2+++SYA3bt3Z+/evcyaNateScJPPvmEgIAARowYUa+YzmbKlClMnjy56txisRATE/On7yvOz7GcEh5buJ19ae4enQ8NasXTQ9uh18ovuX9GQXkBy44vY+mRpezJ2VNVrlW09I3sy7Wx1zKk5RCCTEEejFJ4gup04rRYcBYU4CosdB9binBaCnFZinAWWXBVlLmKKvdFOEtKcBUVXbyknqKgmM1oTCY0JpP7uOJcMZnQmE0oRhOKyYjGZEZjMp46N5pQjMaKMiOKwYhiNKAxVjs36N3n1ROCBoMk1ESTIknCBm5keCBvHEkjqdTK7wXFXB7oW2cb7wAjcZ2DObbLvYDJFbdfdgkiFUIIIYQ4ZdOmTYSG1j0KQlVVEhIS6qwXGRlJx44da5R16NCBb7/9tl5fY86cOYwdOxaD4dS8aCEhIWi1WjIzM2vUz8zMJCLizKMxjEYjRqOxzq8rLr7/7Uzl+UV7KLE5CfI28PbtXRnSThacOV82p41fUn5h6ZGl/JL6Cw6XA3AnBvtF9WNo7FCGxAwhwBTg2UDFBaO6XLgsFhx5+Tjz83Dk5eGsflxQULEV4ix0710WywWZz07x8kLr44PGxweNt3e1zcu993Lvtd7eKF5e7nOzFxovc8Wxe69UHCtGowxxF+JPkiRhA+er03JbeCDz03L5JDW3XklCgE6Dojm2K4fEjRn0H9EanUEWMBFCCCHEpXHllVfSpk0bAgIC6lV/0KBBmM3ms9YZOHAgiYmJNcoOHTpUNb/g2axbt47Dhw9z//331yg3GAz07NmTVatWVfUwdLlcrFq1iscee6xesQvPKLM5+ft3+/hy60kA+sYHMWN0dyL8ZXGSc6WqKrtzdrP0yFKWHVuGxXZqjs0OQR0Y3no418dfL0OJGxFVVXEVFmLPysKZm4sjJwdHTi6OnGycORXnFeXO/HxwOs/r62h8fND6+6Px90Pr64fWzw+Nny9aP3+0fr5o/CrKfHzQ+vqi8fVF4+2D1tedFFTOMsWEEMIz5G9lI3BvdAjz03JZllNAptVOuFFfZ5uWHYLwDTJRlFfO4e1ZtO8XeQkiFUIIIYSANWvWnFP9H3/8sc46Tz75JAMGDODNN9/k9ttvZ/PmzXz44Yd8+OGHVXWmTJlCamoq8+fPr9F29uzZ9O3bt9Yei5MnT2bcuHH06tWLPn36MH36dEpKSmqsgCwalsNZRTyyYDtJWcUoCky8qi0Tr26LViM9iM6FxWZh6ZGlfHPoGw4XHK4qDzOHMaz1MIa3Gk7bwLYejFDURrXbsWdm4chIx56RiSMrC0dmJo7sLHd5lns71yG9Gl9ftEGB6AIC0QYFuY+DgtAGBKINCEAbGIDW3999HBCA1s/PPa+eEKJJkSRhI9DRx0xvP2+2WEpYmJ7Lk3F1L0aiaBQ6Xh7Fpu+OsnddqiQJhRBCCNGo9e7dm8WLFzNlyhRee+014uPjmT59OnfddVdVnfT0dJKTk2u0Kyws5Ntvv2XGjBm13veOO+4gOzubl19+mYyMDLp168ZPP/102mImomFYvi+DyV/upMTmJMzXyPTR3RjQWnq41ZeqquzJ2cNXiV+x/Phyyp3lAJi0Jv4S+xeGtx5On4g+aDUyCslTnMXF2FNS3FtaOvaMDOzpaTgqjh1ZWfUe6qv190cbGoIuJBRdcDC6kBC0IcHu85AQdCHBaIOC0QUGoFSbikEI0Xwpan1nlG5GLBYL/v7+FBYW4ufnd1G+RvG6deR//gURL7+EPiqqzvrfZOTx2IFkoox6NvfriK4en5SWWmx8MuV3XE6VUVN6ERZ7cV6LEEIIIS6tS/GscqE4nU7mzZvHqlWryMrKwuVy1bi+evVqD0V24TSm96OxcrlUpv98iP+udvd4698qmHfu7E6Ij8wNWR/FtmJ+OPoDXx/6msT8U8P22wS0YdRlo7ix9Y34GeTP7qWgOhzY09KwJZ+sSAaexJaS6j4+eRJnYWGd91D0enSRkejDw9GFh6MLC0MfHoYuLKzqXBcaikbmThVCVKjvs4r0JPSQ3LnzKN24kfz27QibNKnO+jeGBvDy4VTSrHZ+zrVwXah/nW28/Ay06RnGoc2Z7FmXytX3yA9+IYQQQlxaTzzxBPPmzWPYsGEkJCTIpPLinFnK7Tz5xU5WHcwC4L6B8Tx/Q3t0snpxnY4VHmPB/gUsPbqUMkcZAEatkaFxQxl12Si6hnaVv5MXgepy4UhPx3bihHs7fgLb8ePu49RUsNvP2l4bGIi+RQv0UVHoIyLQR0W6k4IVmzYoSFbUFUJcFJIk9JDAMWMo3biRgq+/IXTChDq7d5u0GsZEBvNechafpOXUK0kI0HlwCw5tziRpcyYDb22DyUfmjRBCCCHEpfPFF1/w1VdfccMNN3g6FNEIHc4q4q/zt3E0pwSjTsPUWztza48Wng6rQVNVlc0Zm5m/fz6/pPxSVR7vH8+oy0ZxU+ub8DfW73cJcXaq3Y4tORnr4SNYjxzGduQo1iNHsB07dtY5ARWjEX1MCwwtYtC3aIEhpoU7KdgiBn10NFof70v4KoQQ4hRJEnqI71VD0IWF4cjKwrJyJf7DhtXZ5p6oYN5PzmJNXhHHy6zEmevuPh4e70doS1+yk4vY/3saPYbWvQKgEEIIIcSFYjAYaNOmjafDEI3Qyv2ZPPnlToqtDqL8TXwwthedW0hy60xsThvLji1j/v75HMo/BICCwpUxV3JPx3voFd5Leg2eJ9Xlwp6SQnliItaDiViTktzJwBMnwOGovZFejyEmBkNsrHuLi6061kVESE9AIUSDJElCD1H0egJGjSLnvffI//zzeiUJY81GBgf5siaviPmpubzcpu65DBVFofPgaFbPP8jedal0+0tLNLLymxBCCCEukaeeeooZM2bw7rvvSoJC1IvLpTJjVRIzViUB0Dc+iPfu6iHzD55Bfnk+Xx/6ms8Pfk5OWQ4AZp2Zm1vfzN0d7ybWTzoJnAtXSQnliYewHkqk/OBBrImHsCYm4iotrbW+xssLQ+vWGFu3xtimNYZWrTG2boU+OhpFJ79uCyEaF/lXy4MCbh9FzqxZlG3dRnniIUztLquzzb3RIazJK+KLjFz+Fh+BqR5zsbTtFc7v3x6mKK+cE3tyiO8aeiHCF0IIIYSo1a233lrjfPXq1SxbtoxOnTqh19ec+mTRokWXMjTRwJXaHDzxxU5W7s8E4N4BcbwwrAN6mX/wNFmlWczdO5dvDn1TtUpxmDmMMR3GMOqyUTKkuB5cZWWUHzhI+d69lO/bS9nefdiOHq119WBFr8fQtg2mdu0xXnYZxjZtMLZp7e4VKB+ACCGaCEkSepA+PBzfq6+maMUKCr78goiXX66zzTXBfkQb9aRa7XyfXcDIiKA62+gMWjoOjGLHimT2rEuVJKEQQgghLip//5rJiVtuucVDkYjGJMtSzv2fbGVPaiEGnYapt3Tmtp4y/+AfpRenM3vvbBYnLcbmsgHQIagD93S6h6GxQ9FrZQ7y2qgOB+WJiZTt2kX53n2U792L9fBh+MOK6wC60FCM7dtjat8O42XtMLVvhyEuDkUv31shRNMmSUIPC7xzDEUrVlC45H+ETn6qzklqtYrC2Khg/nksg3mpOfVKEgIkDIpmx8pkTu7PIz+jhMAImQxXCCGEEBfH3LlzPR2CaGQOZRYxfu4WUgvKCPY28NG4XvRoGejpsBqUk5aTzN47m/8d+R8Ol3sevO5h3Xmoy0MMiBogvdn+wJGfT9muXZTt2EnZjh2U7dmDWlZ2Wj1taAjmTgmYEhIwJXTC3KkTulDpVCGEaJ4kSehhXn37YoiPx3bsGJal3xE4Zkydbe6MDObfxzPYaillX3EZnXzMdbbxCzET1zmE47tz2LsulSvuqHtosxBCCCHExWCxWPjss8+YPXs2W7du9XQ4wsN+S8rhkQXbKLI6aBXizdzxvYkNlg+0Kx0rPMZHuz/ix2M/4lSdAPSN6MtDXR+SxUgqqKqKPTWV0k2bKd2+jbIdO93Dhv9A4+uLuWtXzF06u5OCnTqhCwuT76EQQlRoEJN7vPfee8TFxWEymejbty+bN28+a/2vv/6a9u3bYzKZ6Ny5Mz/++OMZ6z788MMoisL06dMvcNQXhqIoVYnB/IWfo9Yy/8UfhRn13BAaAMAnqTn1/lqdB0cDcHBDOrbyM6zCJYQQQghxkaxZs4axY8cSGRnJ66+/Tt++fT0dkvCwr7ae5N65mymyOugTF8SiCQMkQVghpSiFKb9O4eYlN7P06FKcqpOB0QP59PpP+Xjox/SO6N2sk1v21FQKFi0m7bkpHL76ao5c8xfSX3iBwm8XVSUIDfHx+N9yCxGvvUqrpd9x2aaNtPz4I0InTsT3qqvQh4c36++hEEL8kcd7En755ZdMnjyZWbNm0bdvX6ZPn87QoUNJTEwkLCzstPrr169nzJgxTJ06lRtvvJGFCxcyYsQItm/fTkJCQo26ixcvZuPGjURF1b0KsCf5j7iZrP/8B2tSEmXbtuHVq1edbcZFBfNdVgHfZObzUusofHXaOtvEtA8iINyLgsxSDm3KIOFKmeNFCCGEEBdXamoq8+bNY+7cuRQUFJCfn8/ChQu5/fbb5ZfzZkxVVaatPMQ7qw8DcHO3KP5vZBeM9Ximbepyy3L5cPeHfHXoq6phxYNjBvNQl4dICEmoo3XT5cjOpmT9eko2baZ00ybsqak1K+h0mDt3xqtXL8w9umPu1g1doAxZF0KIc6Go9em6dhH17duX3r178+677wLgcrmIiYnh8ccf57nnnjut/h133EFJSQnff/99VVm/fv3o1q0bs2bNqipLTU2lb9++LF++nGHDhjFp0iQmTZpUawxWqxWr1Vp1brFYiImJobCwED8/vwv0Ss8u/aWXKPj6G/xuuIHoaW/XWV9VVQZtPkhSqZU32kbzQIv6zZuxa/VJfvsqiaAob0a/1EcezoUQQohGyGKx4O/vf0mfVc7Vt99+y+zZs/nll1+4/vrrufvuu7n++uvx9vZm165ddOzY0dMhXjCN4f1oSKwOJ89+s5slO9MAePyqNkz+y2XN/rm0xF7CJ/s+4ZN9n1DqKAWgf2R/nuj5BJ2CO3k4uktPtdko3bGTkt9+pfjX37AePFizglaLOSEBrz598OrbF6/u3dB4Sy9UIYSoTX2fVTzak9Bms7Ft2zamTJlSVabRaLjmmmvYsGFDrW02bNjA5MmTa5QNHTqUJUuWVJ27XC7Gjh3LM888Q6dOdf9AnTp1Kq+++ur5vYgLJGD0aAq+/gbLypWE5+SgCwk5a31FUbi/RSjPHUphTkoO90WHoKnHg1X7/pFs/N9R8tJKSDtUQHQ7+XRNCCGEEBfeHXfcwbPPPsuXX36Jr6+vp8MRDURhqZ0HP93K5mN56DQKb97Smdt7x3g6LI+yOW18fehrPtz9IXnleQB0Cu7EpJ6T6BfZz8PRXVq2kycp/vVXSn77ndKNG3GVlta4burYEe8B/fHq2xdz9x51LvoohBDi3Hg0SZiTk4PT6SQ8PLxGeXh4OAf/+ElRhYyMjFrrZ2RkVJ2/9dZb6HQ6Jk6cWK84pkyZUiPxWNmT8FIyd+qEuWtXynbtouCbbwl5+KE624wKD+TNo2kcLbOyOq+Ia4Lr/uTaaNbRrm8E+35JZc/aFEkSCiGEEOKiuP/++3nvvfdYu3YtY8eO5Y477iBQhv41a1lF5dwzezMHM4rwNeqYeXdPLm979g/GmzKX6uKHoz/w3s73SC12D52N9Yvl8e6Pc23stc2iZ6XqclG2axfFq1dTtGr1aYuNaIOD8R44AJ8rrsB7wAB0wcEeilQIIZqHeiUJLRbLOd/YU0Mttm3bxowZM9i+fXu9f7AajUaMRuNFjqxugXeOoWzXLvK//JLgBx9A0Z59ThZvnZY7I4OZdTKbj09m1ytJCND5ymj2/ZLK0V05FOWV4xtkuhDhCyGEEEJU+eCDD5g+fTpfffUVc+bMYdKkSQwdOhRVVXG5XJ4OT1xiJ/NKuXv2Jk7klhLma2T+/X1oH9F8h2bvzdnL1M1T2Z29G4BQcygPd32YW9regl6j93B0F5fLaqV040aKfl5F0do1OLOrLcSo0+HVrRveV1yB9+UDMXXogKJpEGttCiFEs1CvJGFAQMA5fZKlKAqHDh2iVatWZ60XEhKCVqslMzOzRnlmZiYRERG1tomIiDhr/V9//ZWsrCxatmxZdd3pdPLUU08xffp0jh8/Xu/Xcan5Xncd2qn/xJGeTvG6dfhedVWdbcZHh/DhyWzW5hdxqKScy7zrTvgFR/sQfVkAqYcK2PdrKv1ubn0hwhdCCCGEqMFsNjNu3DjGjRtHUlISc+fOZevWrQwcOJBhw4YxcuRIbr31Vk+HKS6ypMwi7p69iUyLlZggM5/d34+WwV6eDssjcspy+O/2/7Lk8BJUVMw6Mw92fpC7O96NWWf2dHgXjbO4mOI1ayj6eRXFv/6KWm0YscbHB59BV+Bz9dX4DBqEVqYnEEIIj6n3cONvvvmGoKCgOuupqsoNN9xQr3saDAZ69uzJqlWrGDFiBOCeT3DVqlU89thjtbbp378/q1atqrEIycqVK+nfvz8AY8eO5ZprrqnRZujQoYwdO5bx48fXKy5P0RiN+N92K3mz55C/8PN6JQljzUaGhvizLKeQ2SnZvNWufsOkE65sQeqhAvb/lkbvG+LR6uUTOiGEEEJcPG3btuXNN9/kjTfe4IcffmD27NmMGTOmxuJxounZdbKAcXM3U1Bqp124L/Pv70O4X/MbxWJ32fn8wOfM3DWTYnsxAMNbDWdSz0mEeYV5OLqLw1VWRvG6dVh++JHiX35BrfZ3XRcejs9VQ/C9+hq8+/RGMRg8GKkQQohK9UoSxsbGMmjQIILrOQdEq1at0Ovr101+8uTJjBs3jl69etGnTx+mT59OSUlJVULvnnvuITo6mqlTpwLwxBNPcOWVV/L2228zbNgwvvjiC7Zu3cqHH34IQHBw8Glx6vV6IiIiaNeuXb1i8qTAO+4gb85cSn77DVtyMoZqPSLP5P4WISzLKeSrjHyebxWJv77utzW+WwjeAUZKCqwc3p5Fu76199wUQgghhLiQNBoNw4cPZ/jw4WRlZXk6HHERrT+Sw4OfbKXE5qRbTADzxvcmwKv5JYPWp67nn1v+ybHCYwB0DO7IlD5T6BbWzbOBXQQum42S337D8sOPFK1ZU6PHoCE+Ht+h1+J79TWYEjo1izkXhRCisalXkvDYsWPndNO9e/fWu+4dd9xBdnY2L7/8MhkZGXTr1o2ffvqpanGS5ORkNNXmoRgwYAALFy7kxRdf5Pnnn6dt27YsWbKEhISEc4qxoTK0bIn3FZdT8suv5H/xJeF/e6bONgMDfGjvbeJgSTmfp+fxcMu6P43UajUkDIpi03fH2LM2RZKEQgghhLhgvvvuO66//vo6PzQOC3M/s/z4448MGTIEs7npDrdsblbsy+Cxz3dgc7gY2CaYD8f2wtvo0TUTL7nU4lTe2vwWa06uASDIFMQTPZ5gRJsRaJSmM4pHdbko3byZwu+WUrRyJa6ioqpr+uho/G64Ab8brsfYvr0kBoUQooFTVFVVPR1EQ2OxWPD396ewsNAjC7AUrVlDyiMT0Pr702bdWjSmuodkfJaWy1OJJ4kxGdjYrwPaevwALrXY+GTK77icKiOf7UV4fPOdPFoIIYRoTDz9rFIXrVZLRkYGoaGh9arv5+fHzp0765zPuqFq6O/HpfbtthT+9u1unC6VoZ3C+e+Y7hh1Z1+QrylxuBx8duAz3tv5HmWOMnSKjjEdxvBw14fxMzSdPx+2kycpXLyEwiVLsKelVZXrwsLwu/56/G64HlOXLpIYFEKIBqC+zyrn9XHeqlWrWLVqFVlZWaetTjdnzpzzuaWoxmfQIPRRUdjT0rAs+4mAW0bU2eaW8EDeOJLGyXIbK3MsXBfqX2cbLz8DbXuHk7gxg12rkrn2gabRG1MIIYQQnqWqKvfeey9Go7Fe9cvLyy9yROJSmb/hOC//bx8AI3u24J+3dkanbTq95upyMO8gr6x/hf25+wHoGd6Tl/q9ROuAprFQoKukBMvyFRQuWkTp1q1V5RpfX/yuvx7/4Tdi7tlTViQWQohG6pyThK+++iqvvfYavXr1IjIyUj4ZuggUrZaA0aPJnjaN/M8+w3/EzXV+n720Gu6OCuad5Cw+SsmuV5IQoOvVMSRuzODw9mz655XjG9T8JpIWQgghxIU1bty4c6p/1113SQ+8JmDe78f4+1J3cuy+gfG8OKwDGk3z+F2hzFHGzF0zmb9vPk7Via/el8m9JnNr21sb/dBiVVUp27aNgm8XYVm+/NQ8g4qC94AB+N96C75XX12v0U9CCCEatnNOEs6aNYt58+YxduzYixGPqBAw8jZy3n2X8r17Kdu5E6/u3etsMy46hPdPZvF7QTEHisvo4FP3vD6hMb5EtwsgNbGAPWtSGHBbmwsRvhBCCCGasblz53o6BHGJVU8QThjcmmeGtms2nQk2pG3gtQ2vkVKcAsC1sdfyXJ/nCPWq33D7hspZXIJl6XfkL/wca1JSVbkhNhb/W27Bf8TN6CNkXnMhhGhKzjlJaLPZGDBgwMWIRVSjCwrC78YbKVy0iPxPP61XkrCFycD1If58n13IxynZvN2+7pWRAbpe3ZLUxAL2/ZZGr2FxGEzNa1JpIYQQQghx/pprgrCgvIB/bf0X3x35DoBwr3Be7Pcig2MGezawP8l6+DD5Cz+n8H//w1VSAoBiNuM37AYCbr0Vc/fuzeL9FUKI5uic+74/8MADLFy48GLEIv4g6B53b03L8hXYMzLq1ebBFu5PLL/NzCfP7qhXm7iEYPzDzNjKHBzckH5+wQohhBBCiGbnk/XHqxKEjzSjBOG6k+sY8b8RfHfkOxQUxrQfw5KblzTaBKFqt2P5aTkn7hnH0RuHk79wIa6SEgxxcYQ/P4W269YS9cYbePXo0SzeXyGEaK7q1WVs8uTJVccul4sPP/yQn3/+mS5duqDX62vUnTZt2oWNsIlacngJC/Yv4N9X/ps4/7ha65jat8erd29Kt2whf+HnhE1+ss779vH3prOPmT3FZXyWlsvjseF1tlE0Cl2viuGXLw6xa3UKCVe2aDbzxwghhBBCiPPzyfrjvPKde5GSRwa35m/NIEFYYi/hX1v+xbdJ3wLQ2r81fx/wd7qFdfNsYOfJabGQ/8WX5C9YgCMry12o0eBz1RCC7rwTr/79m/x7KoQQ4pR6JQl37NhR47xbt24A7N2794IH1Fz8fOJnEvMTWXhwIc/3ff6M9QLvGUvpli0UfPUVIRMeqXNCYEVReKBFKE8cTGZeag6PxIShq0fCr33/SDZ9dxRLdhnHd+fQqlvjnkNFCCGEEEJcPNUThA9f2TwShDuydvD8r8+TUpyCgsLYjmOZ2GMiRm39VvFuSOxpaeR9Mp+Cr7/GVbEQiTY4mIBRIwm84w70kZEejlAIIYQn1CtJuGbNmosdR7NzV4e7WJeyjiWHl/BY98fwM9S+op/vVVehj47GnppK4dKlBI4aVee9bw4L4LUjaaRa7SzLKWR4WECdbfRGLZ2uiGb78hPsWnVSkoRCCCGEuCCOHj1Kq1atPB2GuIDmb6iZIHz2uqadILQ77by/633m7J2DS3UR6R3JPy7/B70jens6tHNWfvAgubPnYPnxR3A6ATC2bUvQfffhN+wGNAaDhyMUQgjhSec8J2FtVFVl2bJljBw58kLcrlnoF9mPNgFtKHOUsThp8RnrKVotgXfdBUD+/E9RVbXOe5u0Gu6JCgbg45TsesfUebB7mHFaUgFZJyz1bieEEEIIcSZt2rRhyJAhLFiwgPLyck+HI/6k+RuO8/L/3AnCh65s1eQThEn5Sdz54518vOdjXKqLm1rfxLc3fduoEoSqqlL8++8k33c/x0bcgmXpUnA68erbl5gPPyD+u/8RcMsISRAKIYT4c0nCY8eO8dJLL9GyZUtuueUWefA7B4qicFcHd/Lv84Of43Q5z1g3YORtKF5eWJOSKN24sV73Hxcdgk6BTYUl7C4qrVcbn0AjrXuGAbBr1cl6tRFCCCGEOJvt27fTpUsXJk+eTEREBA899BCbN2/2dFjiPHy15WSNBOFz17VvsglCl+rik32fcMf3d3Aw7yABxgCmDZ7GPy7/B74GX0+HVy+qqlK0eg3HR47i5P0PULJ+PWg0+N1wA3HffEPsJ/PwGTSoyb6HQgghzt05JwmtViufffYZV111Fe3atePNN99k8uTJZGVl8f3331+MGJusYa2G4W/0J7U4lbUpa89YT+vnR8CIEQDkzf+0XveOMOoZHhoAwEfn0Juw2zUxABzemkVxvrXe7YQQQgghatOtWzdmzJhBWloac+bMIT09ncsvv5yEhASmTZtGdnb9n1OE5/y4J53nFu0G4IHL45t0gjCvPI8Jqybw763/xu6yc0X0FSy+eTF/if2Lp0OrF1VVKVrjTg6mTJhA+b59KGYzgWPH0nrFCqKnvY05oZOnwxRCCNEA1TtJuG3bNiZMmEBERATTp09nxIgRnDx5Eo1Gw9ChQ/Hzq31OPXFmZp2ZkW3dQ7QX7F9w1rqBd98NQPHatdiSk+t1/7/GuHsFLsksIN1qq1ebsFg/Itv443Kp7FmXUq82QgghhBB10el03HrrrXz99de89dZbHD58mKeffpqYmBjuuece0tPTPR2iOINfk7J54osduFQY3TuGF4Z1aLIJwm2Z2xj13Sh+T/0do9bIS/1e4r2r3yPEHOLp0OqkqipFa9dyfNTtpDxSkRz08iL4wQdos+pnIl54HkOLaE+HKYQQogGrd5Kwb9++GI1GNm7cyJYtW5g4cSLh4eEXM7ZmYXT70WgVLVszt3Iw7+AZ6xlbxeM96ApQVfIWnD2hWKm7nxf9/L2xqyofp+TUO6ZuV7cEYN8vqditZx4GLYQQQghRX1u3bmXChAlERkYybdo0nn76aY4cOcLKlStJS0vj5ptv9nSIohbbTuTz1/nbsDtVhnWO5B+3dG6SCUKX6uLjPR9z//L7ySrLIt4/noXDFnJ7u9sb/OutkRx8+BHK9+49lRz8eSVhTz2FLijI02EKIYRoBOq1ujHA1VdfzezZs8nKymLs2LEMHTq0wf/AbAwivCP4S+xf+On4T3x24DNeH/j6GesGjb2Hkl9+pfDbRYROnIjWx6fO+09oGcbGPceYn5rDpNhwfHXaOtvEdQ3BL8SEJaecxI3pJFzZ4pxekxBCCCFEpWnTpjF37lwSExO54YYbmD9/PjfccAMajfuz6vj4eObNm0dcXJxnAxWnOZBuYfzczZTZnVzRNoRpd3RFq2l6z/955Xk8/+vz/J72OwA3trqRl/q9hJfey8OR1a1k4yaypk2jfLd7KLhiNhN0150E3XefJAaFEA2Cqqo4VXDi3rtUFaeq4gScqopa7ZpTVVEryp0quFBxVbRxAU7VfT9XRR0X7msquOtV1q9RXlmPqvMa+2rHamWdivtUr3fq+qmvV1nuqlhgtnodV7X7VbapXIf21P0q6gERBj0PxoRe3DejHuqdJFy+fDknT55k7ty5PPLII5SVlXHHHXcASLLwT7qrw138dPwnfjj6A5N6TCLYHFxrPe/LB2Jo1Qrb0aMULlpM0D1j67z3NcF+tPUyklRq5bO0XB5uGVZnG41GoctVMfz2VRK7VqfQ6YpolCb4QCiEEEKIi2/mzJncd9993HvvvURGRtZaJywsjNmzZ1/iyMTZHM8p4Z45m7GUO+gZG8gHY3tirMeHzY3Ntsxt/G3d38gqy8KoNfJC3xcY0WZEg//9xpqURNa/36Z43TpAkoNCNAWqqmJTVewuFatLxa6qWF0u7KqKzeXe3MfuMnvFeY3jir2j4tihVp7zh/Nqm8t9vXqZs6KNs0YZ1a65r7uqXassr0z+VSb6VE9/YxuJTj6mBpEkVFRVPa/3bOXKlcydO5fFixcTExPDyJEjGTlyJD169LjQMV5yFosFf39/CgsLL8lci6qqctePd7EnZw+PdnuUh7s+fMa6+Z9/Tsarr6GPbUnrZctQNHWPGP8sLZenEk8SbdSzsV9H9PVI+NnKHXzy3O/Yyp0Mm9CFuC4Nfx4WIYQQorm41M8qf8bx48dp2bJlVc/BSqqqcvLkSVq2bOmhyC6cxvR+1EdGYTkjZ60nJb+M9hG+fPnX/vh76T0d1gXlUl3M2TuHd3a8g0t1Ee8fz7+v/DeXBV7m6dDOyp6ZSfY771C4aDG4XKDTEXjHHYRMeARdcO0dDYQQ56YyWVfmdFHqdFHmqtg7XZS7VMpclcfu8/Jqx2UuF1aXO7lXuS9z/rFMxaaeKqtMANrOLzXT6GkAjQJaRUGDglapOEdBoyhoFHcdraKgVOzdZX/c464PKBXlStV9QKlWXnleWUepaKtQeQxKRT3+WA93R7nKp5qqr1VxfOoe7jKo/Nqn7q/8oR2KuyfhI/Xo1HW+6vusct5Jwkr5+fksWLCAOXPmsHv3bpzOxj+HnSce9H44+gPP/focIeYQVty2Ar229gcxV2kpSYOH4LJYaDHzfXyHDKnz3uVOF7037ifb5uC9Di25LaJ+ny7+/u1hdq5MJrpdICOe7H5Or0cIIYQQF09jSkpptVrS09MJC6v54Jubm0tYWJg8OzYw+SU2bv9gA0lZxcQFe/HVw/0J8zV5OqwLqshWxHO/PscvKb8AjWN4sbO4mNyPPyZv3ieo5eUA+A4dStiTkzDIUH3RzJU7XRQ5nZQ4XRQ7nBRV7EucLoorjoudLkoq6pRWbCVVeyelLvd5WUVS0NkA8nVaBQyKBoNGQa8oGDRK1bFeUdBrFAyKBp3GXU9XUUdXcU2ngF6pfq6cdu7eqHasoNMoaAFdtTraavW0SsV1xZ3E01Uk+NzbqXItpxJ61dtpKuppqxJ6DbvndlNR32eVeg83PpPAwEAef/xxHn/8cbZv3/5nb9dsXRt7LW9vfZvssmx+Ov4Tw1sPr7WexsuLgJEjyZszh7z58+uVJDRpNdwfHcI/j2Uw82Q2t4YH1usvYpchLdi16iSpifnkpBQR0sL3nF+XEEIIIZq3M30eXVxcjMnUtJJPjV2x1cG9czeTlFVMhJ+JT+/v2+QShMcKjzFx9USOW443iuHFqt1O/ldfkfPe+zjz8gAw9+hB2DNP49VdPsQXjZ+qqpQ4XRQ4nFgcTgrsFXuHg0KHk8KK8kKHk2KHC4vDSZHDicXppMjhosjhvKg98HQKeGk1mDUazBV7k0aDSatg0pwqN2mUinINxopjo0bBqKn93KAoGLUa917jTgRWXjdUJPG0DfTfJdG01StJuHv3bhISEk4bJvJHlUON9+3bR7t27dDp/nQOstnQa/WMbj+ad3a8w2cHPuPGVjee8WEl6K47yZs3j9INGyk/dAjTZXUPi7gnOoQZJ7LYW1zGb/nFXBFUd8LPN8hE6+6hHN6WxY6VyfxlfKdzfl1CCCGEaJ4mT54MuHsIvPzyy3h5neql5XQ62bRpE926dfNQdOKP7E4XjyzYxq6UQgK99Hx6fx9ighpuz7rz8UvKLzz7y7MU24sJ9wpnxlUz6BTccJ9vSzZuJOP1N7AdOQKAIS6OsKefwufqqxtsUlM0by5VpdDhJNfuINfmINfuIM/uJM/uIN/uIN/uJN/hoKCqzJ0MdFygHJ+XVoOPVoOPVouPrmKv1eCjc++9tBq8tRq8tdpqx5Xl7jKviqRfZWKwPlN1CdGU1CuL1717dzIyMggNrd8kiv3792fnzp20atXqTwXX3Iy8bCQf7PqAfbn72JW9i25h3Wqtp4+OxveaayhasYL8TxcQ+fprdd47SK9jTGQQc1JzeP9kVr2ShADdr23J4W1ZJG3Jou9NrfALNp/LSxJCCCFEM7Vjxw7A3Utkz549GAyGqmsGg4GuXbvy9NNPeyo8UY2qqryweA+/JuVg1muZN74PbcObzggSVVWZvXc2/93+X1RUeoT14O3BbxNibphzbtszMsh86y2Klv0EgDYoiNDHHyNg5EgUfdOaG1I0fA6XSq7dQbbNTpbNQZbNTrbNUbG5y3LtlQlBx3kP09UrCv46LQF6LX46Lf7VNr8/bD5aTdWxr06Lb0UiUHreCfHn1StJqKoqL730Uo1PgM/GZrP9qaCaqyBTEMNaDWPx4cV8uv/TMyYJAYLuGUvRihUUfvcdoZOfRBcYWOf9H4oJZV5qDmvyithfXEZHn7oTfmGxfrRoH0jKwXx2/nySQXc07MmchRBCCNEwrFmzBoDx48czY8aMRj9XX1P27urDfLU1BY0C797Zna4xAZ4O6YIpc5Tx8u8v89Nxd8Jt1GWjmNJnyhnn//Yk1WYjb/58st+fiVpaChoNgWPGEDrxcbT+/p4OTzQxqqqSa3eSabOTbrWTaa3Y2+xkWCs2m50cm+OcV6f10WoI1usINugI1usI0usI1GsJ0usI0GkJrDgP1OsI1GkJ0OswaxTpIStEA1CvJOGgQYNITEys90379++P2Sw9zs7HXR3uYvHhxaxKXkVGSQYR3hG11jP37ImpY0fK9+8n//PPCZ0woc57x5qNDAsNYGl2AbNOZvHfDrH1iqnH0FhSDuZz4Lc0eg+Lw+xjqLuREEIIIQQwd+5cT4cgzmLxjhTeXnkIgFdvTuDqDuEejujCSStO44k1T3Aw7yA6RceUvlO4vd3tng6rViXr15Pxxj+wHT0KuOcdjHjpRUwdOng4MtFYlTldpFptpJbbSS23nTq22kir2Je76pf+0wDBBh1hBh2hej2hRvc+zKAj1HAqGViZGDTWMU2ZEKLhqleScO3atRc5DFGpXVA7+kT0YXPGZj4/+DlP9nyy1nqKohB0332kPf00+Qs+I/i++9DUY/LvR1qGsjS7gMWZBUxpFUmkse6EX4v2gYS29CU7uYg9a1LoM1yGkQshhBDizG699VbmzZuHn58ft95661nrLlq06BJFJf5o/ZEc/vbNbgAeGtSKsf3q9wFyY7AlYwtPrX2KfGs+QaYgpg2eRs/wnp4O6zT29HQy//kWRcuXA6ANDibsmafxv/lm6VUlzsrhUkmz2kgud28nyyqOy2ycKLeSZXPU6z7Beh2RRj3hBj0RRh0RRr17M7j34QY9wQadDOUVopmQlUUaoLs63MXmjM18c+gbHuryEF762od5+103lOxp07CnpVG45H8Ejr6jznv38POmn783GwtL+Dglh5daR9XZRlEUul/bkhUf72P32hS6XxuL3qg959clhBBCiObB39+/KsHhL8MkG6RDmUU89Ok27E6VYV0iefa69p4O6YL57sh3vPL7KzhUBx2COjBjyAwifSI9HVYNqstF/sLPyZo27dTQ4rvuIvTxx9DK0HxRwaWqpFrtHCu1crTMWrU/WmoludyGvY5Vfb21GlqYDEQZ9bQwGYg26omq2EebDEQa9dLrTwhRgyQJG6ArW1xJC58WpBSn8P3R7884LELR6Qi6dxyZb04lb+5cAkaNRNHWnbyb0DKMjXuOMT81h0mx4fjq6m7TukcYfqFHsWSXsf+3NLpeHXPOr0sIIYQQzUP1IcYy3LjhybKUM37uForKHfSKDeTtUV3RNIEVPFVVZdbuWby/830Arou7jtcGvoZZ17CmQbIePUr6iy9Rtn074J5GKOLllzC1a+fhyISnlDtdHCmzklRSTmJJOYdKyzlcauV4mRXrWYYEGxSFFiYDLU0GWpor98aq80CdVnqkCiHOiSQJGyCtRsudHe7k/7b8HwsOLGDkZSPRKLV/whNw221kv/c+thMnKFq1Cr9rr63z/tcE+9HWy0hSqZXP0nJ5uGVYnW00GoXuf2nJuoWJ7Pw5mYTB0Wi18qmTEEIIIc7u2LFjOBwO2rZtW6M8KSkJvV5PXFycZwJrpkqsDu77ZAupBWXEh3jz0T29MOkb/wgRu8vOaxteY8nhJQDcn3A/E3tMPOMztCeodju5c+aS8957qDYbGi8vwp55moA77kCR3lzNgtXl4nCplf3FZRwsKSepIiGYXGbDdYY2ekUh1mwg3mykldlIvNepfZRRL8OAhRAXlCQJG6hb2tzC+zvf51jhMX5J+YXBMYNrrafx9iZwzGhyZ31A3uw5+P7lL3V+WqRRFB6OCeOpxJN8lJLN/S1C0dfj0+P2/SPY/P0xivOtJG3JpH2/hjVsQwghhBANz7333st99913WpJw06ZNfPzxxzL39SXkcLp4/PMd7E21EOxtYN743gR6N/4F6YptxUxeO5kN6RvQKBpe6PtCg1ugpHz/ftJefBHr/gMAeA+6gsi//x19VN1T/4jGR1VVMmx29heXs7+4jAMl7v3h0nIcZ+gYGKDTcpm3ibZexoq9idZeRqKNBnRNoKevEKJxOOckYUlJCd7e3hcjFlGNj8GHUe1GMXfvXObunXvGJCFA0N13kzdnLmW7dlG2fTtePeuelPm28ED+eSydVKudpdkF3BoeWGcbnV5L16tasHHJUXasSKZdnwgU+YElhBBCiLPYsWMHAwcOPK28X79+PPbYYx6IqHlSVZW/L93H6oNZGHUaPhrXi9jgxv9Mn1mSyYRVEziUfwizzsy/r/w3g1oM8nRYVVxWKznvvU/u7NngdKL19yf8hefxGz5choE2EaqqcrLcxu6iMnYXlbKrqIw9xaXk2Z211vfXaenoY6K9t5nLvE1cVpEUDNHr5M+EEMLjzjlJGB4ezu233859993H5ZdffjFiEhXu7nA3n+7/lO1Z29mVvYuuoV1rracLCcH/5psp+PprcmfPqVeS0KTVcH90CP88lsH7yVncEhZQrx9KCYOi2fbTCfLSSji+N5f4LiHn/LqEEEII0XwoikJRUdFp5YWFhTidtf8SLS68TzeeYMHGZBQFZozuTo+WdX9A3NAdyj/EhJ8nkFmaSbApmPeufo9OIZ08HVaVsl27SHtuCrZjxwDwve46Il58AV2IPD83ZulWGzss7mTgLkspu8+QENQq0NpsoqOPiY4+Zjp4m+jkYybSqJdkoBCiwTrnJOGCBQuYN28eV111FXFxcdx3333cc889RElX+QsuzCuMG1vdyJLDS5i3dx7/GfKfM9YNGj+egm++oXj1aqxHjmBs3brO+98THcKME1nsLS5jbV4RQ4LrXknN6KUnYVA0O1Yks2P5CUkSCiGEEOKsBg0axNSpU/n888/RViyw5nQ6mTp1qnzgfImsP5zDq0v3A/Dsde25LiHCwxH9eRvTN/LkmicpthcT7x/PzGtmEu0T7emwAFAdDnI++ICc92e6ew+GhhDx8sv4/eUvng5NnCOby8XeojK2WkrYaillW2EJqVb7afX0ikIHbxNdfL3o4mumi68X7b1NmGQOdyFEI6Ooah3rpp9BdnY2n376KfPmzePAgQMMHTqU++67j5tuugmdrnFPdWixWPD396ewsBA/v7oTZxfTkYIjjPjfCBQUvhvxHXH+cWese/LRxyhetQr/kbcR9cYb9br/K0mpfJCSTT9/b5b0aFt3A6Ck0Mr8F9bjcqjc8nQPotoE1KudEEIIIS6MhvSsUpf9+/czaNAgAgICuOKKKwD49ddfsVgsrF69moSEBA9H+Oc15PcjObeUm977jYJSO7d0j2ba7V0bfS+mH47+wIu/vYhDddAzvCczhszA3+jv6bAAsJ08Sdozf6Ns504A/G64gYhXXkbr3zDiE2eXZ3ewsaCYLYUlbLOUsquo9LTVhbUKdPA209XXTFdfL7r4etHBx4RRFp8RQjRg9X1WOe8kYXXvvPMOzzzzDDabjZCQEB5++GGee+45vLy8/uytPaKhPeg9tuox1qWsY9Rlo3i5/8tnrFe6fQcn7rwTRa+n9aqf0YfVvWpxhtVOnw37sakqS7q3oV+AT71iWvPpAfb/nk5c52CGPVr7MGghhBBCXBwN7VmlLmlpabz77rvs2rULs9lMly5deOyxxwgKCvJ0aBdEQ30/iq0Obnt/PYmZRXRt4c+XD/Vv9CsZf3nwS/6x6R+oqFwfdz1vXP4GBq3nF19RVZXCxUvIfOMNXKWlaHx8iHjlZfyHD/d0aOIscmzupOCGgmLWFxRzoKT8tDpBei09/bzp5edNL38vuvl64a1r3H+PhBDNT32fVc67y19mZiaffPIJ8+bN48SJE4wcOZL777+flJQU3nrrLTZu3MiKFSvO9/aimns73cu6lHX87/D/mNBtAiHm2of4evXojrl7d8p27CB/wWeETX6yzntHGPWMjgxiflouM05k1jtJ2P3aWPavT+f4nlxyU4sJjq5fOyGEEEI0P1FRUbz55pueDqNZcblUJn+5k8TMIsJ8jXwwtlejTxB+vOdjZmyfAcDodqOZ0ncKGsXzvbecBQWkv/J3ipYvB8DcqydR/3wLQ4uGMfxZnJJnd/B7vjshuL6gmMRakoKXeZnoF+BNTz9vevt7E282NPret0IIUV/nnCRctGgRc+fOZfny5XTs2JEJEyZw9913ExAQUFVnwIABdOjQ4ULG2az1DO9Jl5Au7M7ZzecHP+fx7o+fsW7w/feR8tjj5H/+OcF//Stan7pXrXu0ZRifpeeyJq+InZZSuvnV3QM0INyL1t1CObIjmx0rkrlmfMdzek1CCCGEaF5KS0tJTk7GZrPVKO/SpYuHImrapv98iBX7MzHoNHwwticR/iZPh3TeVFVlxvYZzN47G4AHOz/I490fbxCJm5ING0h7bgqOzEzQ6Qh9/HGCH7gfRdu4E7JNhd2lstVSwrq8ItbmFbGrqJQ/DqNr721iQIAP/QN86BfgTahB75FYhRCiITjnJOH48eMZPXo0v//+O7179661TlRUFC+88MKfDk64KYrCvQn3MnntZL44+AX3J9yPl772RJ7PVVdhiIvDdvw4Bd98TfC999Z5/1izkVvCAvkmM5//nshkTuf4esXVfWgsR3Zkk7Qlk743t8I3qPE+fAohhBDi4sjOzmb8+PEsW7as1uuywvGF98PudP67+jAAU2/pTPdGvJKxS3Xx5qY3+TLxSwCe7Pkk9yXc5+GoQLXbyZo+nbzZcwAwxMUR9a9/Ye7c+OfYbMxUVeVYmY21eRbW5RfxW34xJU5XjTrtvE1cHuDDgEAf+vn7EGxo3PPpCyHEhXTO/yKmp6fXOdeg2WzmlVdeOe+gxOmuirmKlr4tSS5KZvHhxdzV4a5a6ykaDUH3jSfj5VfI+2Q+QXfdhaKv+9Owx2PD+SYznx9zCkksKaedd90Jv/A4P6LbBZKamM/Olclcccdl5/y6hBBCCNG0TZo0iYKCAjZt2sTgwYNZvHgxmZmZvPHGG7z99tueDq/J2ZdWyNNf7wLgwSviua1nCw9HdP4cLgcv//4yS48uRUHhxX4vcnu72z0dFvbMTFKfnEzZ9u0ABIy+g/C//Q1NI52PvbGzu1Q2FRazIsfCitxCjpfV7K0cpNdyZaAvg4P8uDLIlwij9BQUQogzOedJPHx9fcnKyjqtPDc3F610q79otBot4zqNA2D+vvk4XI4z1vW/+Wa0ISE40tOx/PRTve7fztvEsFD3qmvvnMisd1w9hrYEYP9vaZRabHXUFkIIIURzs3r1aqZNm0avXr3QaDTExsZy991383//939MnTrV0+E1KTnFVv46fxtldieDLgvluesb7/Q/NqeNp9Y+xdKjS9EqWqZeMbVBJAhL1q/n2C23UrZ9OxofH6L/O4PIv/9dEoSXmMXhZElmPhP2nyDh972M3HmED1OyOV5mQ68oDAjw4flWkSzvdRl7ByYws1Mcd0QGSYJQCCHqcM5JwjMthmy1WjEYPL+yWFN2U+ubCDIFkVaSxorjZ14URmM0EnS3u6dh7sezz/ie/dHE2HAAFmflc6LMWq82MR2CCIv1xWF3sfPn5Hq1EUIIIUTzUVJSQlhYGACBgYFkZ2cD0LlzZ7ZX9MQSf57N4eKRBdtILSijVYg374zpjlbj+Tn7zkepvZRHVz3K6pOrMWgM/GfwfxjWaphHY1JdLrLfe4/k+x/AmZeHsUMH4r/9Br9rr/VoXM1JutXGxynZ3L7zMB1/28PD+0+wKDOfQoeTIL2W2yMCmZ0Qx4HLE1jUvQ0TY8Pp6uuFpgHMXSmEEI1FvYcb//e//wXc8+N9/PHH+PicWs3W6XTyyy+/0L59+wsfoahi0pkY034M7+18j7n75nJ9/PVnnLA5cPRocj78CGtiIiW/r8fn8oF13r+rrxdDgnxZk1fEu8lZ/KtdTJ1tFEWh97B4fnh/N3vWpdL92paYfSRZLIQQQgi3du3akZiYSFxcHF27duWDDz4gLi6OWbNmERkZ6enwmox//LCfLcfz8TXp+GhcL/zNjbPHVIm9hEd+foQdWTsw68z896r/0i+yn0djcuTnk/bM3yj57TcAAkaNJPyFF9CYZD7uiy3Dauf77AKWZhWwqbCkxrW2XkauDfFnaLAfPf290UoyUAgh/rR6Jwn/85//AO6ehLNmzaoxtNhgMFQ97ImLa3S70czZO4eDeQfZmL6R/lH9a62nDQggYORt5M//lNyPPqpXkhDgidhw1uQV8WV6HpPjwok01p3wi+0cTGhLX7KTi9j180n6jWh9Tq9JCCGEEE3XE088QXp6OgCvvPIK1113HZ999hkGg4F58+Z5Nrgm4n87U/lkwwkAZozuRutQnzpaNEzVE4S+Bl9mXjOTrqFdPRpT6Y4dpD45GUdGBorJRMQrrxBwywiPxtTUZVUkBr+rSAxWHxPV28+bG0L9uTbEj9ZekqQVQogLrd5JwmPHjgEwZMgQFi1aRGBg410lrTELMAVwS5tbWHhwIXP3zj1jkhAg+N57yf/8C0o3baJ0+w68enSv8/79Anzo5+/NxsISZiVn82rb6DrbKIpCrxviWDZrD7vXptDtLy0xeTfOT6+FEEIIcWHdfffdVcc9e/bkxIkTHDx4kJYtWxISEuLByJqGpMwinvt2DwCPX9WGq9qHezii81NqL2XCzxPcCUK9Lx9d+xGdgjt5LB5VVcmfP5/Mf/0bHA4McXFEz5iBqZ0s1HcxFNodfJddwOLMAjYUFNdIDPby8+KmsABuDA0gyiQjloRorFRVxeVSUV0qLqd7r7o4VVaxV9WKcqda1Qb1VL3KOi4XFXVVVJU/7N33UNU/HFfsUSuvVWv3x/I/nFNVfuZrVWUALlA5VV7VnopjAFfFXgWfQCN9hrfyyHtT3TmvbrxmzZqLEYc4B2M7juWLxC/YkL6Bg3kHaR9U+zBvfVQUASNupuDrb8iZNZOWH35Yr/s/ERvOxt1HmZ+Wy8TYcIINdf8xie8aQnALH3JTitm1+iR9G8AfbiGEEEI0LKqqYjab6dGjh6dDaRKKrQ4eXuBeqOTyNiFMuqZxJrAq5yDcnrUdH70PH177oUcThC6rlfSXXsLy3VIAfK+/jsjX30Dr4+2xmJoih0tlbX4RX2XksTynEKvrVGqwh58XN4UGcGNYAC0kMSgE4E6SOe0unI5Tm8uhVjtXK8pcOJ1qxf5UHZfzVF2XU63YKupW1K9e7nKqOJ2VSb1q11xqjeMa16slAV0uFdVZPfnn6e9gwxbcwqfxJAknT57M66+/jre3N5MnTz5r3WnTpl2QwMSZtfBtwdDYoSw7voy5e+fy1qC3zlg3+MEHKfh2ESW//ErZ3n2YE+p+4Boc5EsXXzO7i8r4KCWb51rVPV+Qoij0viGOnz7cy+7VKXS7Ogajl/QmFEIIIQTMnj2b//znPyQlJQHQtm1bJk2axAMPPODhyBovVVV57tvdHMkuIdLfxIzR3RrlQiVljjIeX/04WzO34qP34YO/fEBCSILH4rFnZpHy+OOU794NWi3hzz5L4Ni7zzgPuDh3+4vL+DIjj0WZ+WTbHFXl7bxNjAoP5KawAFqajR6MUIj6cblUHDYndquzYu/CYXNWbC7sFfvKc4e94prdhcPuwmmr2NudFXvXqWsO97nT7sLhcOGyu9w96pooRaOgaECjKCgaBY1WQVHcZYrm1LGm6rhiU9zXNdWOT+3/UOb+HxoNUP0ap+pUlVfsqbxe47hmXaruXXENUDQAtVyn+teAykJFAbNvw/hApF5Jwh07dmC326uOz0R+eF469ybcy7Ljy1h+fDkTe0wk2qf2YcGGli3xu3EYlu+WkvvBLFq8806d91YUhUmx4dy39zhzUrOZ0DIMP522znatuoUSFOVNXloJu9ek0HtY/Dm/LiGEEEI0LS+//DLTpk3j8ccfp39/9zQpGzZs4MknnyQ5OZnXXnut3vdKTU3l2WefZdmyZZSWltKmTRvmzp1Lr169ztjGarXy2muvsWDBAjIyMoiMjOTll1/mvvvuq6ozffp0Zs6cSXJyMiEhIYwcOZKpU6diasALU8xbf5zvd6ej0yi8e2cPgn0aX1Kl3FHO46sfZ3PGZrx0Xsy8ZiZdQrt4LJ6yPXtJefRRHFlZaPz9aTFjOt79PLtoSlORb3fwdUYeX2Xks7e4rKo8SK/l1vBAbo8IorOPWX6fFBeV6lKxW53Yyh3Yyir3Dmzlp47tVif2cic2qxO71YG93FnRxr23Wx04rO4EoNPu8tyLUUCr06DVKmj1GrQ6DRqde6/VKe5zrYJG6z6vsdcqaPQatBr3uUan1KyrqWxbfatWpql2rlFQqsoqknuVSTvNqfrVE3/Vy2ok8ESDUK8kYfUhxjLcuGHoGNyRvpF92ZS+ibl75/JivxfPWDfkr3/FsvR7ilb+TPmhQ5guq3soynUh/lzmZeJQaTlzU3J4Iq7u+W0UjXtuwhUf72PXqpN0vSoGg/mcR7QLIYQQogmZOXMmH330EWPGjKkqu+mmm+jSpQuPP/54vZOE+fn5DBw4kCFDhrBs2TJCQ0NJSkqqc57s22+/nczMTGbPnk2bNm1IT0/H5Tr1i93ChQt57rnnmDNnDgMGDODQoUPce++9KIrSYEfIbDuRzz9+OADAC8M60DO28c0VXu4oZ+LqiWxK34RZZ2bWX2bRLaybx+Ip/P4H0l94AdVqxdC6NTEz38fQsqXH4mkKVFVlm6WUT9Jy+C6roGo4sUFR+EuIH7dHBHFVkB/6RtgDVniO0+6ivNROeYkda4nDvS+1Yy11uLcyB7aKvbXUjq3MibXMjq3Ugc3qhIvRGU8BvUGLzqhFb9CgM2jdm959fKpMg06vRWvQoNNr0Ord5zqDO7l3aq917yuSf1q9glanrdi721X2qBPiQjvnDE5hYSFOp5OgoKAa5Xl5eeh0Ovz8/C5YcOLsHuryEJvSN7EoaRF/7fJXwrzCaq1nbNMG32uvpWj5cnI/+JDot/9d5701isLE2DAeO5DMBylZPBgTipdWU2e71j3CCIw4Rn5GKbvXptDr+rhzfVlCCCGEaELsdnutPf169uyJw+GopUXt3nrrLWJiYpg7d25VWXz82Uct/PTTT6xbt46jR49WPbvGxcXVqLN+/XoGDhzInXfeWXV9zJgxbNq0qd6xXUq5xVYe/Ww7DpfKsC6R3DsgztMhnTOr08oTa55gQ/oGzDozM6+ZSfewuhfYuxhUl4vsGf8l94MPAPC58kqi3v43Wp/GuUJ0Q1DkcPJtZj7zU3PYX1JeVZ7gY+auqGBGhAUQqJeOBMKd8CsrtlFWZKes2EZ5sZ2yYjvlxe4kYPVza0Vi0GH78733NBoFg1mHwaxFb9JhNOswmNzHepMWvVGLwahFb3SfGyrK9BVlOqMGveFUmVavkYSdaDLO+V/n0aNHM3z4cCZMmFCj/KuvvuK7777jxx9/vGDBibPrFd6LHmE92J61nbl75/Jsn2fPWDfk4YcoWr4cy7JlhDz2KMY6HqoBRoQF8q9jGZwot/FpWg4PxdSehKxOo1HoeX0cP8/dz86fk+kypAUGkzwECCGEEM3V2LFjmTlz5mm98j788EPuuuuuet/nu+++Y+jQoYwaNYp169YRHR3NhAkTePDBB8/aplevXvzf//0fn376Kd7e3tx00028/vrrmM1mAAYMGMCCBQvYvHkzffr04ejRo/z444+MHTv2jPe1Wq1Yrdaqc4vFUu/X8Wc4XSoTv9hBhqWc1qHevHVbl0b3i6nNaWPSmkmsT1uPWWfm/avfp2d4T4/E4iwuIe3ZZyletQqA4AfuJ/TJJ1G0dU+zI063p6iU+Wm5fJuZT6nTncgxaRRGhAVyT3Qw3X29Gt2fV3HuXE4XZUV2SgqtlBTaKC20UmqxUWaxUVpkcx8X2SkrsmEtrf8HRdUpChi99Zi89Ri9dBi93HuTlw6Dlw6D2Z34M3rp3QlAr4pEYEViUKuTpJ4QZ3LO2ZtNmzbVOvRi8ODBvPDCCxckqObgeE4JH/16lL9d1x5/8/kt8KEoCn/t8lce/vlhvjn0DQ90foBgc3CtdU0dOuAzeDDFa9eS+9HHRL35jzrvr9MoTIwN56nEk7xzIou7o4LxrsdDU9teYWz54RiFWWXsXZdKj6Gx5/zahBBCCNF0zJ49mxUrVtCvYn63TZs2kZyczD333FNjUbyzDe89evQoM2fOZPLkyTz//PNs2bKFiRMnYjAYGDdu3Bnb/Pbbb5hMJhYvXkxOTg4TJkwgNze3qkfinXfeSU5ODpdffjmqquJwOHj44Yd5/vnnzxjL1KlTefXVV8/nW/GnTP/5EL8fzsXLoGXW3T3xMTauD2IdLgfP/vIsv6X+hklr4r2r36NXxJnnk7yYbCkppDwyAWtSEorBQOQbr+N/000eiaUxc6oqP+UU8sHJbDYXllSVt/UyMi46hJHhgQRIr8Emw1bmoDjfSnF+OcUFVorzrZTkl1NSaKtKCpYV2c5pSK9Go2Dy1WP2MWDy0WP20WOq2KqOvU9tRm89BqMWRYapC3FRKKp6bgtRe3t7s3HjRjp37lyjfM+ePfTt25fS0tILGqAnWCwW/P39KSwsvCjDp1VV5Yb//saBdAuT/3IZE69u+6fuNeaHMezL3cf9CfczqeekM9Yt27mT46PHgE5H659+wtCi9sVOqrO7VAZuOkByuY2XW0cxoWXdvQkBDm5IZ9UnBzD76hn7xgD0RvlEVgghhLhQLvazyoU0ZMiQetVTFIXVq1ef8brBYKBXr16sX7++qmzixIls2bKFDRs21Nrm2muv5ddffyUjIwN/f38AFi1axMiRIykpKcFsNrN27VpGjx7NG2+8Qd++fTl8+DBPPPEEDz74IC+99FKt962tJ2FMTMxFfT/WHMxi/LwtAMwY3Y2bu9X9HNeQqKrK3zf8nUVJi9Br9Lx39Xv0j+rvkVjK9u7j5EMP4czNRRsaQsy772Lu2tUjsTRWxQ4nn6fn8VFKNsnlNgD0isKwUH/uiQqhf4C39NRqZFSXSqnFhiW3nKLcsop9OcV55RRVJANt5c563UtRwMvPgJe/Ee8AI16+esx+Brz8DJh9DXj5GtznvgaMXjpJ+AlxCdT32fGcP9bp06cPH374Ie/8YZXcWbNm0bOnZ4YKNDaKovDI4NZM/HwHs387xviBcfiazr834UNdHmLimol8fvBzxieMx9/oX2tdc7dueA/oT8n6DeTO/pjIV16p8/56jcLkuHAmHTzJu8mZjIsKxrseKx1f1iecLT8cw5JTzr5fU+l2jUz8LIQQQjRHF2rRu8jISDp27FijrEOHDnz77bdnbRMdHV2VIKxso6oqKSkptG3blpdeeomxY8fywAMPANC5c2dKSkr461//ygsvvIBGc/qczEajEaPx0q0mnF9iY9KXOwG4p39so0sQAvxn+39YlLQIjaLh/wb9n8cShMW//ELKpCdRS0sxtm9PzKyZ6CMiPBJLY5RSbmN2SjYL0nIpqhhSHKTXck9UCOOjQwg3nt/vNOLSsJU7sOSUUZhVRmG2e6tKCOaV43LU3X/IYNbhE2is2Ez4BBrx9jfi5W+o2pt9DWgk8SdEo3TOScI33niDa665hl27dnH11VcDsGrVKrZs2cKKFSsueIBN1bDOkUz/+RBHs0v4dOMJJgxuc973GhwzmMsCL+NQ/iE+O/AZE7pNOGPd4IcfpmT9Bgq/+ZaQhx9BH153z8CR4UHMOJHJsTIbc1JzeDy27pWONVoNPa+PY82nB9m+IpmEQdHoDNKbUAghhBDnZ+DAgSQmJtYoO3ToELGxZ57WZODAgXz99dcUFxfjU7EQxaFDh9BoNLRo0QKA0tLS0xKB2orpVc5xwM1FE+ht4KUbO/LNtpO8MKyDp8M5Z3P2zmHuXvfw7lf6v8I1sdd4JI6CbxeR/vLL4HTiPWAA0f+dIQuU1NNOSymzTmaxNLsAZ8VfizZeRv7aIpSREUH1WuBQXBoOm5OCrDLyM0oozCqtkRAstdjO2lZRwCfQhG+wCb9g994nyIRvoAmfIHevQJlvXoim7ZyHGwPs3LmTf/3rX+zcuROz2UyXLl2YMmUKbdue/7DZhuRSDeH5dlsKT329iyBvA789OwQvw/n/g7v8+HKeXvc0vgZfVty2Ah9D7Q88qqpy4u6xlG3bRtC4cYRPea5e9/8mI4/HDiQTqNOyuX9HfOvRm9DpdPHZSxspyivn8tvb0vWqmHN6TUIIIYSoXWMabgywdetWvvrqK5KTk7HZav6SumjRonrdY8uWLQwYMIBXX32V22+/nc2bN/Pggw/WWABlypQppKamMn/+fACKi4vp0KED/fr149VXXyUnJ4cHHniAK6+8ko8++giAv//970ybNo0PP/ywarjxI488Qs+ePfnyyy/rFdulej9UVW10Qzi/PfQtf9/wdwAm95zM+ITxlzwGVVXJef99ct55FwD/m28i8vXXUQyGSx5LY7OpoJj/HM9kbX5RVdnlAT48FBPK1cF+aBrZn8empKzIRn5GCfkZpVVbQWYJltzys84JaPLW4xdqxr9i8wsxVyUEvQONaCXhK0STdNGGGwN069aNzz777LyDE243d4tixqokkvNK+WxjMg8OanXe97qm5TXE+8dzrPAYXyR+wQOdH6i1nqIohDz8MCcffJD8L78k+KG/ogsKqvP+t4QHMv1EJodLrXycks2TcXUPy9BqNfS8Ppa1nyWyY/kJOl0RhU4vvQmFEEKI5uSLL77gnnvuYejQoaxYsYJrr72WQ4cOkZmZyS233FLv+/Tu3ZvFixczZcoUXnvtNeLj45k+fXqNFZLT09NJTk6uOvfx8WHlypU8/vjj9OrVi+DgYG6//XbeeOONqjovvvgiiqLw4osvkpqaSmhoKMOHD+cf/6h7kbdLrbElCFeeWMlrG18DYHzCeM8kCB0OMl59jYKvvwYg+K9/JfTJSY3ue3kpqarKb/nFTDuRwYYC92IkWgVuCQvkkZZhdPIxezjC5sVudZKXVkJuWjF5qe59bloJZWfpFWj00hEQ7kVguBf+YV74h51KCJq8ZUi4EOLMzqsnYaXy8vLTPg1uDJ9m1+VSfjr/5ZZknv12DyE+Rn57dgimP5FEW3pkKc//9jyBxkB+uu0nvPRetdZTVZXjo26nfO9egv/6V8ImP1mv+y/JzOfh/Sfw12nZ3K8D/vVYqczpcLHgpQ0U51u5fFRbul4tvQmFEEKIP6sx9STs0qULDz30EI8++ii+vr7s2rWL+Ph4HnroISIjIz2ySvCF1pjej0tlQ9oGHl31KHaXndva3sYr/V+55Ik5V2kpqU9OpnjdOtBoiHjpRQLHjLmkMTQmqqqyOq+I/xzPYKvFvRilXlEYHRnEYy3DiDVfunk4myNVVSkpsJKdXET2yWJyThaRm1p85p6BCvgGmQiM8CYwwqtqCwj3xuyrl0S4EKKG+j6rnHOSsLS0lL/97W989dVX5Obmnnbd6azfikcN2aV80LM5XAz591pSC8r4+/CO3Dsw/rzv5XA5GL54OCnFKTzd62nGdRp3xrpFq1aR8uhjaLy9abN6FVr/2hc7qc6pqly1JZHEknKeigvnmfjIesW179dU1n6WKCsdCyGEEBdIY0pKeXt7s2/fPuLi4ggODmbt2rV07tyZAwcOcNVVV5Genu7pEP+0xvR+XAp7svdw/4r7KXOUcU3La/j3lf9Gq7m0z3+O3FxOPvwI5Xv2oBiNRL/9b3yv8cxciA2dqqr8lFPIf05ksruoDACTRuGuyGAmtAwj2iTDsi80VVWx5JSRnVxMdnIROSeLyD5ZRFmRvdb6Zj8DwVHeBEf5EBRdsY/ylt+rhBD1dtGGGz/zzDOsWbOGmTNnMnbsWN577z1SU1P54IMP+Oc///mngm6ODDoNjwxuzYtL9jJr3VHG9G2JsR7z/dVGp9HxQOcH+PuGvzNv3zxGtx+NUVv7J34+Q4ZgvOwyrIcOkbdgAaGPPlrn/bWKwtNxETy47zgfnszmgRahBNajN2H7AZFsX5GMJbuM3WtO0vO6uHN9aUIIIYRopAIDAykqcs9nFh0dzd69e+ncuTMFBQWUlpZ6ODpxoR0tOMojqx6hzFFG38i+vDXorUueILSlpJJ8/33YTySj9fenxcyZePXofkljaCx+ySviH0fT2FWRHDRrNIyLDmZCTBhhslLxBVNWbCPzmMW9HbeQddyCtdRxWj1FoxAU6UVIjC+hMb4ER3sTHO2D2VcStUKIS+Ock4RLly5l/vz5DB48mPHjx3PFFVfQpk0bYmNj+eyzz2rMCyPqZ1SvFry7+jAZlnK+3prC3f3OvEpfXW5qfROzds8ioySDRUmLGNO+9iEVikZDyMMPkTr5KfLmf0rQuHH1Wt1tWKg/Hb1N7C8p54OT2TzXqu7ehFqthj43xvPz3P3sqFjp2OglDx1CCCFEczBo0CBWrlxJ586dGTVqFE888QSrV69m5cqVXH311Z4OT1xAWaVZPPTzQxRaC0kITmDGkBkYtJc2uWE9dozk8ffhyMhAHx1NzEcfYWx1/iN1mqodllLePJrGr/nFAHhrNdwfHcJfY8II+ROLKQr34o05ycVkHCusSgpasstOq6fRKYRE+xDS0p0QrEwK6gzSO1AI4Tnn/BMgLy+PVq3cC2z4+fmRl5cHwOWXX84jjzxyYaNrJow6LQ9d2YpXl+5n5toj3N4rBoPu/FaV0mv13JdwH29uepM5e+cwsu1I9NraE3K+Q4diaPUetqNHyfvkk3r1JtQoCs/ERzB+73E+SsnmwRahBNfjQaJt73C2Lz9BXloJO1Ym0+/m1uf82oQQQgjR+Lz77ruUl5cD8MILL6DX61m/fj233XYbL774ooejExdKqb2Ux1Y9RkZJBnF+cbx/zft4670vaQzliYdIvv9+nDk5GFq1ouXcOejDwy9pDA1dUkk5/zyWzg/ZhQAYFIVx0cFMjA0n1CAf4p8Pu81J5jELaUkFpB8uIONoIQ6b67R6AeFehMf7ER7nR3i8H8EtfGQlYSFEg3POScJWrVpx7NgxWrZsSfv27fnqq6/o06cPS5cuJSAg4CKE2DyM6dOS99YcIbWgjMU7Urijd8vzvtetbW/lw90fklGSwdKjS7m17a211lO0WkIff4zUJyeTN3ceQXfdhbYe7+F1If509jGzp7iMmSezeLF1VJ1tNBqFvsNbseyDPexanUKX/2fvvsOjqrYGDv+mpPdAeg+9995EEBFpogIqgogNpIMCIiKoIEqRIiCCCgqKFEWKKAZEmrTQSSCQ3ntvk5n5/siV73IlZBJIJmW9zzOP5mSXNUw0h3X23qu3F5a2smxeCCGEqOkcHR3v/LtSqWT27NlGjEZUBK1Oy9t/vU1QahAOZg6s7bMWB3OHSo0h78oVIl95FV1GBmZNmuC9aSPq//rZq+1i8wtZGh7PD3Gp6AAF8KyrAzN9XfGWgiRlUpBXRNyt9DtJwcSILHTau4/5N7NS4+pnV5wU9LPF2cdWqgoLIaqFMicJx44dy6VLl+jVqxdK5xAAAM+qSURBVBezZ89m0KBBrFmzBo1Gw/LlyysixlrB3ETF6z39+ehAEJ8fuc3TbT1Rl/PJkpnKjJeavcTSc0v58vKXDK43GLXy3h+1zeOPY9aoEQU3bpDy9Tc4T5ta6viK/6wmHH0ljE3Rybzu5WTQk0e/1nVx9rEhMSKLwN8i6P5sg7K+NSGEEEJUMwcOHEClUvH444/fdf33339Hq9XyxBNPGCky8TDo9XqWnF3C0eijmKnMWPXoKrxsvSo1htxz54h6/Q10OTlYtGqF14YvDCrKVxtkFWn5LCKBjdFJFOiKE1mP17Vltp8bTawtjBxd9aAt0pEQlkFUUBpRQakkRmSh192dFLSyN8O9gT3u9e1wa2CPo6sVCqVUFxZCVD9lrm78v8LDwwkMDKR+/fq0bNnyYcVlVMaqUJdbWET3JUdIzSlk+fBWDGvrWf6xNLn039WftII0FnVfxKB6g0ps+0+lY4WlJfX/OGTQU1e9Xs8T50O4mJXLG15OvF/fw6C4Iq+nsHfVJVRqJaM+6Iy1g7nB70kIIYQQxapTNd2WLVvy8ccfM2DAgLuuHzx4kFmzZnHp0iUjRfbwVKfP42H79vq3fHL2EwCW9VpGP99+lTp/9okTRL85EX1+PpYdO+K5di0q68rd5lwV6fR6tsensig0jqTC4gIZne2smFvPnQ528udzP3qdnpTYHKKDU4kKSiM2JO1f24ftnCxwb2j/n8SgPTZ1zFEoJCkohKi6Kqy68f/y9fXF19f3QYcRgKWpmnHd/fj0txusOXyLIa09UJXzCZSliSWjm41mZeBKvrj8BU/4PVHiakLrRx/FvHlz8q9eJeXLjbjMervU8RUKBW/7ufL85VC+iUlmvJczLgZUQPNq4oh7A3tiQ9I5eyCc3i80LvN7E0IIIUT1ERISQtOmTf91vXHjxty6dcsIEYmHJSAigE/PfgrAjHYzKj1BmBUQQMzUaeg1Gqx69cRz5UqU5vIA+mxGDu+GRN+pWOxnYcqC+h48VsdWElklKMwrIvJ6KhFXk4m4lkpeZuFd37ewMcGzsSNeTRzwbOyIjaP8nAkhaqZy7WcNCAhg4MCB1KtXj3r16jFw4ED++OOPhx1brTS6iw92FiaEJuew/0rcA431XOPncDBzICIzgr2395bYTqFQ4DRlMgBp27ahSUg0aPzejja0t7UkX6dndWSCQX0UCgWdhhQXvgk+EUd6Yq5B/YQQQghRPdnZ2REaGvqv67du3cLKSlY0VVdXkq4w+9hs9OgZ3nA4Y5qNqdT5M/btJ3ryFPQaDTb9+uG1enWtTxDG5hcy4XoEgwJDuJSVh7VKyXv13DnasTH96tpJgvB/pCfkcvGPSH5ecYFNM4/x25dXCT4VT15mIWozFT7N69DtmfqMnNeRsZ90p9+4ZjTp6i4JQiFEjVbmJOHatWvp378/NjY2TJkyhSlTpmBra8uAAQP4/PPPKyLGWsXG3ISXu/kBsOZwCDpd+XeDW5lYMa7FOADWX1qPRqspuW337li0aYO+oICUDRsMGr94NaEbAFtiUojKLyylRzH3+vZ4N6uDTqfn7L4wg/oIIYQQonoaMmQIU6dO5fbt23eu3bp1ixkzZjB48GAjRibKKzormomHJ5Kvzae7R3fmdJpTqQmo9N0/EfvWW6DVYjdkMB7Ll6Ewrb0F8fK0OlaEx9PtdDC7E9JQAM+7OXKqcxMmeDtjqpQKugA6nZ6Ym2kc/zGE7947xdb5f3Ni5y1ibqSh0+qxd7GkVV8vhkxtzSvLejBwYita9/Wmjoe1JFiFELVGmc8k9PT0ZPbs2UycOPGu659//jmLFi0iJibmoQZoDMY+VyYjT0P3jw+TVVDEuhfa8kQLt3KPlVeUx5O7nyQpL4l3O73LiMYjSmyb8/dpIl96CUxMqH/wV0w8Sj9nUK/X8+zF2xxPz2a4qwOrmvgYFFdSZBY/LjoLChj5bkfqeFgb+paEEEKIWs/Y9yplkZGRQf/+/Tl37hyensXnLUdHR9OjRw92796Nvb29cQN8CKrT5/GgMgoyGP3raEIzQmns2Jhv+n+DlUnlrQjN+OUXYmfNBr0e+5EjcH3vPRS1OAl2KDmDd0Ji7jys72hnxQcNPGhlY2nkyKoGrVZH7I10bl9IJPRiEnlZ/79oQqlS4N7AHt8WdfFpUQd7Z/kzE0LUXIbeq5T5N2p6ejr9+/f/1/V+/fqRkZFR1uGA4gSjr68v5ubmdOrUiTNnzty3/Y4dO2jcuDHm5ua0aNGCAwcO3PX9999/n8aNG2NlZYWDgwN9+/bl9OnT5YrNGOwsTBjT1ReAlQEPtprQQm3Bqy1fBWDD5Q3kF+WX2NaqcycsO3UCjYbk9esNGl+hUDC3njsAO+LTCMrOM6ifk7cN9do4gR7O7JXVhEIIIURNZWdnx8mTJ9m/fz8TJkxgxowZBAQEcPjw4RqRIKxNNFoN0/+cTmhGKM6Wzqx5dE3lJgj37yd29pziBOFzI3GdP7/WJggTCjS8ejWcF6+EEZVfiLuZCeub+rCnTf1anyDUanSEX0kmYEsQX799nF9WXeTasVjysjSYWapp3NmVJ15vwbhlPRgytQ2t+nhJglAIIf6jzL9VBw8ezE8//fSv63v27GHgwIFlDmD79u1Mnz6d+fPnExgYSKtWrXj88cdJTLz3uXgnT57kueeeY9y4cVy4cIGhQ4cydOhQrl69eqdNw4YNWbNmDVeuXOH48eP4+vrSr18/kpKSyhyfsYzr7oe1mZrg+CwOXH2wswmfbvA0blZuJOYlsv3G9vu2/edswvTdP1EYEWHQ+G1sLRnkZI8e+CjU8Fg7DvJHoYDQi0kkhGca3E8IIYQQ1YtCoaBfv3689dZbTJw4kZ49exo7JFEOH5/5mDPxZ7AysWJtn7W4WLlU2tyZB38j9u1ZoNNh/+wzuM6bVyu3gOr0ejbHJNPjTBB7k9JRKWC8lxPHOjVmqItDrfwzAdBpdUReS+GPr6/z1VvH2P/5ZYJPxlGQU4SFjQlNe7gzeHJrxn7anT4vNcW/jROm5g9cw1MIIWqcMm83/vDDD1m6dCndunWjS5cuAPz999+cOHGCGTNm3LVscfLkyaWO16lTJzp06MCaNWsA0Ol0eHl5MWnSJGbPnv2v9iNGjCAnJ4d9+/bduda5c2dat27N+hJWv/2zrPKPP/6gT58+pcZUVbaMrDh0k5UBIfg7WfH71J6oVeV/UvpTyE+8d/I9HMwcOPj0QSxNSn5aFvnqa+QcO4bdkMG4L1li0PihuQX0OBOEVg+7W9enq4Nh24f/+OY6N/6Ox6upI4MntzaojxBCCFHbVZV7FVGsNnweP974kQ/+/gAFCtb0WUNPz8pL9GYFBBA9ZSoUFWE3dChuiz6qlSsIg7LzePtGNGczcwBoZWPBskZeNK+lKwf1ej1JkVncPJ3AzXMJd1UktrIzxb+NM/XaOuFW3x6lsnYmT4UQ4h+G3quU+fHJpk2bcHBw4Pr161y/fv3OdXt7ezZt2nTna4VCUWqSsLCwkPPnzzNnzpw715RKJX379uXUqVP37HPq1CmmT59+17XHH3+cn3/+ucQ5NmzYgJ2dHa1atbpnm4KCAgoKCu58nZlZNVa1vdLDj82nwglNyuGnCzE8296r3GMNqjeIjVc2EpkVydagrXe2IN+L0+TJ5Bw7RsbefdR57TXM6tUrdXx/SzNGudVhc2wKH4bGsr9tA4OeZHZ40o+QMwlEXU8l5mYaHg0dyvS+hBBCCCFExTqfcJ7FpxcDMLnt5MpNEP75J9FTp0FREbaDBuH20Ye1LkH4T2GStVGJFOnBSqVkjr8bYz3qoqqFKwczk/O4eSaBm2fiSYvPvXPd3MqEBu2dadDRFVc/WxSSGBRCiDIrc5IwLOzhnR+XnJyMVqvFxeXurQouLi4EBwffs098fPw928fHx991bd++fYwcOZLc3Fzc3Nw4dOgQdevWveeYixcvZsGCBQ/wTiqGjbkJ43vVY/GvwawMCGFIaw9M1eW7KVIr1UxoPYHZx2bz9bWvGdF4BLam984eW7RojnWfPmQHBJC0Zg2eK1YYNMcMX1d+jE8jMDOXA8kZPOlkX2ofOycLmnZ35+pfMZz66TZPv92u1m6TEEIIIYSoauKy45j+53SK9EX09+3PuObjKm3u7GPHiZk0GTQabAc8gfviRShUqkqbvyo4npbFzBtRhOcVr5LrX9eWjxp44mFeu6o5awq03DqfQNDJOOJu/f85+CoTJX6t6tKooytezRxRPcDOKyGEEOU4k7C66N27NxcvXuTkyZP079+f4cOHl3jO4Zw5c8jIyLjzioqKquRoSza6iy9ONmZEp+Wx/WzkA43V37c/9e3rk1WYxZZrW+7b1mnyJACyfj1IfgkJ2//lbGbCG15OACwOjaPIwIIr7Z/0RW2qJCEsk9uB1efcSCGEEEKImiyvKI8pR6aQmp9KE8cmLOy2sNIe5uacOkX0xInoNRpsHnsM9yVLUKhrzxlyuVodc29G88zF24TnFeJmZsJXzX35poV/rUoQJkVm8ee2G3wz6ziHtwQXJwgV4NnYgUdHN+HlT7rz+CvN8W1ZVxKEQgjxEJTrN210dDS//PILkZGRFBYW3vW95cuXGzxO3bp1UalUJCQk3HU9ISEBV1fXe/ZxdXU1qL2VlRX169enfv36dO7cmQYNGrBp06a7tjb/w8zMDDMzM4PjrkwWpiomPVqf9/ZcY/XhWzzTzgsL0/I9QVUpVbzZ+k2m/TmNb69/ywtNXsDB/N7be80bNcLmif5k/XqQpNVr8Pp8jUFzTPB2ZnNsMrdyC/ghPpVR7nVK7WNlZ0abx7w5uz+cUz/fxq9VXVTlXDEphBBCiKopMTGRxMREdDrdXddbtmxppIjE/ej1euafmE9QahCO5o6s7L0SC7VFpcydc/oMUeMnoC8owLp3bzyWLUVhYlIpc1cF5zJymBwUSWhe8XFIL7rX4b167tioa8cqysK8Im6eTeD68ViSIrPuXLeta07T7u406uSGtUPV/LubEEJUd2VOEgYEBDB48GD8/f0JDg6mefPmhIeHo9fradu2bZnGMjU1pV27dgQEBDB06FCguHBJQEAAEydOvGefLl26EBAQwNSpU+9cO3To0J0iKiXR6XR3nTtYnYzs4M0XR0OJSc9jy6lwXu9V+hmBJenj3Ycmjk0ISg3i66tfM7399BLbOk2cSNZvv5MdEEDelStYtGhR6vg2ahXTfV15NySGT8PiGObigKUBT/VaP+bNtWOxZCblcfVoDK36lP/8RSGEEEJUHefPn2fMmDEEBQXxT708hUKBXq9HoVCg1WqNHKG4l6+ufsWv4b+iVqhZ1msZbtZulTJv3pWrRI8fjz4/H6tePfFY+RkK09qxcq5Ap2NpWDyfRyaiA9zMTFjeyIvedWpmMZz/lRCeydW/Yrh1LoGiwuKHCUq1Av/WTjTt7o5nQwc5Z1AIISpYmZdrzZkzh5kzZ3LlyhXMzc3ZtWsXUVFR9OrVi2effbbMAUyfPp0vv/ySzZs3ExQUxPjx48nJyWHs2LEAjB49+q7Vf1OmTOHgwYMsW7aM4OBg3n//fc6dO3cnqZiTk8M777zD33//TUREBOfPn+fll18mJiamXPFVBaZqJVP6NgBg3dHbZOVryj2WQqFgUpvircTfB39PUm7J23vN6tXDbtAgABKXLsPQQtgvutfBy9yUhMIiNkYbtn3Y1FxNx0F+AJw9EEZBbvnfoxBCCCGqjpdffpmGDRty8uRJQkNDCQsLu+ufour5K/ovVgauBGBOpzm0d21fKfMWhIYS9dpr6HJzsezSGc9Vq1DWkgTh1axc+p+7yer/JAifcXHgSIdGNT5BqNXqCDmbwM4l59j58TmCT8ZRVKjDwdWSbs/U56WPu/H4K83xauwoCUIhhKgEZV5JGBQUxPfff1/cWa0mLy8Pa2trFi5cyJAhQxg/fnyZxhsxYgRJSUm89957xMfH07p1aw4ePHinOElkZCTK/6pg1rVrV7Zt28a7777LO++8Q4MGDfj5559p3rw5ACqViuDgYDZv3kxycjJ16tShQ4cOHDt2jGbNmpX17VYZw9p4sP7obUKTcth0PIypfRuWe6zuHt1p7dSai0kX+fLKl7zT6Z0S29adNInMAwfIPX2anGPHsO5ZejU7M6WS2X6uvBkUyeqIBEa518HRpPQftSZd3bh0OJq0uBzOH4yg67D6ZXpfQgghhKh6QkND2bVrF/Xry+/16iAsI4xZf81Cj55nGz7L8EbDK2VeTXw8keNeQZuWhnnz5niuXoOyih4H9DAV6fSsjkxgWXg8RXqoY6Lmk0aeBhUArM7ysgu5diyWq0djyEkv3u2lVCmo396ZZj08cKtnJ8UMhRDCCBR6Q5eH/YerqytHjhyhSZMmNG3alI8//pjBgwdz6dIlunXrRnZ2dkXFWmkyMzOxs7MjIyMDW9uq8/Ru76VYJn1/AWszNcfe7o2DVfmfrJ6JO8O438ehVqrZ/9R+3K3dS2ybsOQTUr/+GrMGDfD7+SeDqsrp9HoeO3eDa9n5vO7lxIL6HgbFFX4lmf2fX0alVvL8gk7Y1qmcs2+EEEKI6qSq3qvcy9ChQ3nxxRd5+umnjR1KhalOn8f9ZBZm8sL+FwjPDKetc1s29tuIiarizwIsSksjYtSLFN6+jamfHz5bv0Pt6Fjh8xpbeF4B469FcCErF4ABde1Y0sgTJ9Oae/5icnQ2l49EcfNMAlpN8ZZiC1tTmvf0oFkPd6zsan5iWAghjMHQe5UyryTs3Lkzx48fp0mTJgwYMIAZM2Zw5coVdu/eTefOnR8oaHF/T7ZwY+2ftwmKy2T9X7eZ80STco/V0a0jnVw7cTr+NBsub+D9ru+X2Lbu66+RvmsXBSEhZPy8B/unh5U6vlKh4F1/d567HMrX0cm84umElwGV2Hya18GjkT0xN9I5vSeUx16uvqs/hRBCCAEbN25kzJgxXL16lebNm2PyPwUoBg8ebKTIxH/T6XXMPTaX8MxwXK1cWfbIskpJEOpyc4l+YzyFt2+jdnHBe9PGWpEg/DkhjZk3osjW6rBVK1nUwJOnXRxq5Oo5vV5P1PVUAn+PIOZG+p3rTt42tHrUk/rtXFCZSNFCIYSoCsq8kjA0NJTs7GxatmxJTk4OM2bM4OTJkzRo0IDly5fj4+NTUbFWmqr8NPiP6wm8suUc5iZK/nqrN8625uUe62LiRV789UVUChW7h+zG386/xLYpm74i8dNPUbu4UO+3gyjNS59Xr9fz7MXbHE/PZrirA6uaGPazkRSZxY+LzgLw7Jz2OPtUrc9ACCGEMLaqfK/yv/bu3cuLL75IZmbmv75XUwqXVKfPoySbrmzis8DPMFWasmXAFprVqfgHtfrCQqImvEnO8eMo7ezw3fodZjV8W3qOVsu8kBi2xaUC0MnOis+b+uBpwMP06kan0xN6IYnA3yLuVClWKBXUa+NEy96euMqWYiGEqDSG3quU+ZGNv78/LVu2BMDKyor169dz+fJldu3aVSMShFVdnybOtPayJ1+j4/Mjtx5orNbOrXnE6xG0ei0rz6+8b1uHUS+gdnejKCGB1C3fGjS+QqFgbr3ibcw74tO4np1nUD8nbxsadio+k/LkrlsGF0wRQgghRNUzadIkRo0aRVxcHDqd7q5XTUgQ1gRn48+y6sIqoLhQSaUkCHU6Yue8Q87x4ygsLPD+Yn2NTxAGZefR/9xNtsWlogCm+biwq3X9Gpcg1BbpuH4ilu8XnOa3L6+SFJmF2lRJq0e9ePHDLjz+anPc6ttLglAIIaqgMicJz549y+nTp/91/fTp05w7d+6hBCVKplAoeOvxRgBsOxNJdFruA403re00VAoVh6MOcz7hfIntlGZmOE+dCkDKhg0UpaUZNH4bW0uGONujB94LiTE44ddpsD8qtZKYm+lEXEkxqI8QQgghqp6UlBSmTZt2pyidqFqS85J56+hb6PQ6BtcbzNMNKv7sSL1eT8KixWTu3w9qNZ6rVmLRunWFz2sser2eLTHJPHH+JiG5BTibqtnRuh6z/N1Q16CKvZoCLZcCovhu3imOfBtMekIuZpZq2j/py+hFXek+vAE2juXfBSWEEKLilTlJ+OabbxIVFfWv6zExMbz55psPJShxf93q16VrvTpotHpWBYQ80Fj+9v4Ma1B8xuDyc8vvm8SzHTgQsyZN0GVnk7xuncFzzPV3w0yp4Hh6Nr8l/3ur0T3nqmNBqz6eAJzcfQudVmfwfEIIIYSoOoYNG8aRI0eMHYa4hyJdEW//9TYp+SnUt6/P3E5zK2V1V/K6daR99x0A7h9/jHWPHhU+p7FkaIp47VoEb9+MJl+n51FHGwI6NKK7g42xQ3toCvOLOH8wnC3vnOT4jhCy0wqwtDOl69P1Gb2oK50G+WNhXbNWSwohRE1V5sIl169fp23btv+63qZNG65fv/5QghKlm/l4I4atPcmuwBhe71WPek7W5R5rQusJ7Avdx+Xky/wW8Rv9ffvfs51CqcTlrZlEvjyOtO9/wHHUKEy9vUsd39vCjDe8nFkZkcD7t2PoXccGM2Xp+em2/X25fjyOtPhcgk7G0ayHYRWShRBCCFF1NGzYkDlz5nD8+HFatGjxr8IlkydPNlJk4vOLn3M2/iyWakuWP7IcSxPLCp8zfedOkletBsBl7lzsBj5Z4XMay8XMXF69Fk5UfiFqBcz1d+d1LyeUNWSbbZFGy9WjMQT+FkFelgYAWycL2vbzpnFnNylGIoQQ1VCZk4RmZmYkJCTg7393kYu4uDjU6jIPJ8qprbcDfZs480dQIkt+DWbD6PblHquuRV3GNhvL2ktrWXl+JY96PYqp6t5P+6y6dsWqe3dyjh8n6bPP8Fi+3KA5Jns7831cCuF5hWyKTmaCt3OpfcwsircnHP8xhNN7w2jQwQVTc/kZE0IIIaqTjRs3Ym1tzdGjRzl69Ohd31MoFJIkNJKjUUfZeGUjAAu6LsDPzq/C58w+cYK4+e8DUOeN13F8cVSFz2ks2+JSmHMzmgKdHm9zU9Y386GtrZWxw3ootEU6gk7Gce5AODnpBUBxcrDjQD8atHdGqZLkoBBCVFdl/j94v379mDNnDhkZGXeupaen88477/DYY4891ODE/c1+ojEqpYLfrydwOvTBzu0b02wMdS3qEp0dzY83frxvW+eZM0ChIPPAr+RduWLQ+FZqFe/4uwGwIjyepEKNQf2a9/TAzsmCvMxCLhyKNKiPEEIIIaqOsLCwEl+hoaHGDq9Wis6KZs7xOQA83/h5+vvdexfJw1QQEkLMlKmg1WI7eBBOU6ZU+JzGUKjT8faNKKYHR1Gg0/N4XVv+6NCoRiQIddri5ODW+X9zdNsNctILsHY0o/eLjXn+/U406uQqCUIhhKjmyvx/8aVLlxIVFYWPjw+9e/emd+/e+Pn5ER8fz7JlyyoiRlGC+s42jOzgBcCiA0HodOWvAmxpYsmbrYvPlFx/eT2ZhSWfHWjeuDF2Q4YAkPjJpwYXIxnu6khLGwuytDo+CYs3qI9KraTLU/UAuHgokuy0fIP6CSGEEEKIfyvUFjLj6AyyCrNoWbclM9vPrPA5i5KSiHz9dXTZ2Vi0b4fbhx/WyMq28QUahl24xZbYFBTA236ufN3cD1u1ytihPRC9Xk/IuQS+X3iGw1uCyErJx9LWlJ4jGzJqQReadnNHJclBIYSoERR6QzM8/yUnJ4etW7dy6dIlLCwsaNmyJc8999y/zpiprjIzM7GzsyMjIwNbW1tjh3NfSVkFPPLpEXIKtawc2Zohrct/bl+RrohnfnmG2xm3Gdt8LNPbTS+xrSYujtuP90dfWIjn+nXYPPKIQXOcTs9myIVbKIFDHRrRzNqi1D56vZ6flgUSdyuDBh1c6DeumYHvSAghhKiZqtO9yssvv3zf73/11VeVFEnFqU6fx4d/f8j2G9uxM7Njx8AduFm7Veh8urw8Il4cTf7Vq5j6+ODzw/eoHRwqdE5jOJ2ezavXwkksLMJWrWRtU1/61qnaPwuGiA/N4PiOEBLCihcQmFuZ0PZxH5o/4oGJafVOfgohRG1i6L1KuR75WFlZ8dprr/H555+zdOlSRo8eXWMShNWNk40Z4x8pXmn3ycEb5Gu05R5LrVQzrd00ALZe30psdmyJbU3c3HAc/SIAiUuXoi8qMmiOTvbWDHa2Rwe8FxJj0CpEhUJBj+ENQQEhZxOIDUk3aC4hhBBCGF9aWtpdr8TERA4fPszu3btJT083dni1yr7QfWy/sR0FCj7u8XGFJwj1Wi2xb79N/tWrqOzt8drwRY1LEOr1er6OSebpi7dILCyisZU5v7VrVO0ThJnJefy28Sq7PjlPQlgmajMVHQf58eJHXWjTz1sShEIIUUPJuvAaYFx3f1xtzYlJz2PzyfAHGqunZ086uHagUFfI6gur79u2zmuvobKzo/DWbTJ+/tngOebVc8dMqeBEejYHkzNK7wA4edvQrLs7AH9tv/lAW6uFEEIIUXl++umnu1779u0jNDSUESNG0LlzZ2OHV2uEZ4Sz8NRCAF5r+RrdPbpX+JyJS5eRdegPFCYmeH6+BlMfnwqfszLlaXVMDY5izs1oivQw2Nme/W0b4GdpZuzQyq0gr4hTP91i2/unuXUuERTQtJsboxZ2psOTflJEUAghajhJEtYAFqYqZj7eCIA1R26RllNY7rEUCgUz2s0Aip82B6UEldhWZWtLnfFvAJC0chXa7ByD5vAyN2W8V3F14wW3YynQ6Qzq12mIP2aWalKis7l+vORVjkIIIYSo2pRKJdOnT2fFihXGDqVWKNQW8vZfb5NXlEcH1w6MbzW+wudM+/57Ur/+GgC3xYuxbNeuwuesTAkFGoZeCGF7fCpK4L167nzR1Aeranr+oE6r4+pfMWx97xSBv0WiLdLh2diBEXM70PvFJljZVd/EpxBCCMNJkrCGeKqNB03cbMnKL2LV4ZAHGqtZ3WY84fcEAMvOL7vvlmCH55/HxMeboqQkUr74wuA5Jnk742KqJjyvkI3RyQb1sbA2peMgfwD+3nOb/BzDKiQLIYQQouq5ffs2RQYeVyIezKrAVQSlBmFnZsfi7otRKSs2kZX911/Ef/AhAE5Tp2A38MkKna+yXcvOY8D5m1zKysPRRMX2VvWY4O1cbYuxRAensv2jsxzddoO8LA32LpY8+WZLBk9pTV1PG2OHJ4QQohLJevEaQqVUMHdAE0ZtOs23pyIY3cUXv7pW5R5vStsp/BHxB6fjTnM85jg9PHvcs53S1BSXWbOJnjCB1G++wf6Zpw3aSmKlVvGOvztTgiNZER7PcFcHnExLP9eyeU93rh2LITU2h9O/hNLruUZlfm9CCCGEqDzTp99dCE2v1xMXF8f+/fsZM2aMkaKqPU7EnGDz9c0ALOy6EBcrlwqdLz84mJip00Cnw+6pp6jz+usVOl9l+yMlk9evhZOj1dHA0oxvW/rja1E9V9nlZBRwYuctQs4mAMVFSToM9KNZT6lWLIQQtdUD/d8/OzubzMzMu17CeLo3qMsjjZwo0un55GDwA43lYe3B842fB2D5+eVodSUXRLHu/QhW3buj12hIWPKJwXM86+pAKxsLsrU6loTGG9RHqVLSc0RDAK79FUNydJbB8wkhhBCi8l24cOGu1+XLlwFYtmwZn332mXGDq+FS8lKYe3wuACMajeBR70crdL6ilBSiJkxAl5uLZefOuC14v9qurruXjdFJjL4cSo5WR3d7a/a2bVAtE4Q6nZ7LR6LZNv/v4gShAlr08uCFhZ1p2dtTEoRCCFGLKfSGlJf9L2FhYUycOJE///yT/Pz8O9f1ej0KhQKttvzVdasKQ0tDV0U34rN4YuVf6PSw840utPd1LPdYGQUZDNg9gMzCTOZ3mc8zDZ8psW1BaCihg4dAURFeX36JdQ/DDsM+k57N4Au3UACH2jekuY2lQf1++/Iqt84n4t7AnqHT29SoG1AhhBCiNNX5XqUmqoqfh16v582ANzkWc4z69vX5/snvMVebV9x8Gg2RY18m99w5TH188P1xOyo7uwqbrzIV6fS8dyuGr2KKj8h53s2RJQ29MFFWv/vPhLBMjn5/g6TI4gftzj429Hq+Ec4+VePnVgghRMUw9F6lzI+JRo0aRVpaGl999RUBAQEcPnyYw4cPc+TIEQ4fPvxAQYsH18jVhhEdvAD4cH/Qfc8TLI2dmR2vtyzeIrL6wmoyC0teKWrm74/jCy8AkLB4MXqNYecFdrS3ZoizPXrg3ZAYg+Pt+nR91CZKYkPSuXU+0aA+QgghhBC1xdagrRyLOYap0pQlPZdUaIIQiu//cs+dQ2llhefaz2tMgjCrSMvoK6F3EoTv+ruxrFH1SxDm52j4c9sNdn5yjqTILEwt1PR6riFPz2ovCUIhhBB3lPlMwkuXLnH+/HkaNZKz4KqqaX0bsudiLBej0tl/JY6BLd3LPdZzjZ9jZ8hOwjLCWHdxHbM6ziqxbd03J5Cxdy+FoaGkbt1KnZdeMmiOefXc+T05k78zctiRkMZw19JXP9o4mtO2vw9n9oZxctctfFvUxcSselaTE0IIIWqatm3bEhAQgIODA23a3H/Ff2BgYCVGVjsEpwaz/PxyAGZ2mElDh4YVOl/ajh2kbfseFArcP/0Us3r1KnS+yhKdX8iLl0MJysnHQqlgTVMfnnSyN3ZYZaLX67l5JoETO0PIyyp+iN+okytdn66Ppa2pkaMTQghR1ZQ5SdihQweioqIkSViFOdua81pPfz77I4RPDt7gsaYumKnLl0AzUZkwu+NsXj/0Ot8Hf8/TDZ6mvkP9e7ZV2driNG0q8fPeI3nN59gNGoS6Tp1S5/A0N2WGrwsfhsax4FYs/erYYm9S+o9mm8e8CToZR1ZKPucPhtN5SM24IRVCCCGquyFDhmBmVnxW29ChQ40bTC2Tq8nl7b/eRqPT8IjnI4xsNLJi5wu8QPzCDwBwmjwJm0d7V+h8leVKVi4vXA4lsbAIZ1M1m1v408bWsGNxqoqc9AL+3BpM+JUUABxcLen1XCM8GjkYOTIhhBBVVZnPJLx9+zZvvPEGo0aNonnz5piY3F2RtmXLlg81QGOoiufKlFVuYRGPfPoniVkFzB3QhFd7+j/QeFMOT+Fw1GE6uXXiy8e+LHFFgF6rJfzZ4eRfv479s8/g9sEHBo1fqNPR9+xNbubmM8a9DksaeRnUL/RCEr9+cQWlWsHz8zth51S9bt6EEEKI8qgJ9yo1SVX6PN4/+T67QnbhZOHErsG7cDCvuISQJj6esGeeRZucjE2/fnis/KxGnBN9PC2Ll66Eka3V0cTKnG9b+uNpXn1W3en1em78Hc/xHSEU5BahVCno8KQvbfr5oFJLURIhhKiNKuxMwqSkJG7fvs3YsWPp0KEDrVu3pk2bNnf+KaoGS1M1M/oVby1ZFRBCUlbBA403s8NMTJWmnI47zR+Rf5TYTqFS4fJucRW99J27yLt6zaDxTZVKPm7oCcCW2BQuZOYa1M+vdV08GzugK9JzYuctg/oIIYQQovIVFhYSHR1NZGTkXS/x8Pwe/ju7QnahQMGiHosqNEGoKyggetJktMnJmDVsiPviRTUiQbg/KZ3nL4WSrdXR1d6aPW0bVKsEYXZaPvvWXCZgcxAFuUU4+9gw/J0OtB/gJwlCIYQQpSrzb4qXX36ZNm3acOrUKUJDQwkLC7vrn6LqeKadFy097cgqKGLJweAHGsvLxouxzccC8OnZT8kryiuxrWXbttgOHAh6PQmLFhlejMTBmmdcHNADs25GoTWgn0KhoMeIhiiVCsIuJRNxLcWguYQQQghROW7evEmPHj2wsLDAx8cHPz8//Pz88PX1xc/Pz9jh1RjxOfG8f+p9AMY2H0tnt84VNpderyf+vfnkX7mCys4Oz7Wfo7SyqrD5Ksu3scm8ejWcQr2eAXXt2NbSH9tyHtlT2fR6PddPxPL9gtNEXktBqVbQ5al6PP12O+p4WBs7PCGEENVEmZOEERERLFmyhE6dOuHr64uPj89dL1F1qJQKFgxuBsDO89Gcj0h7oPHGtRiHq5UrcTlxfHP1m/u2dZ45A4WFBXmBgWTu22/wHPPru2OrVnI5K48tsYYl/BzdrGjRu3gV4l/f36CoUGvwfEIIIYSoWGPHjkWpVLJv3z7Onz9PYGAggYGBXLhwQYqWPCQ6vY53T7xLVmEWzes0Z2KbiRU6X9qWLWTs2QMqFR6frcDU07NC56toer2eFeHxvHUjGh0wyq0OXzb3xVxVPVbeZaXms3f1JY58G0xhvhYXP1tGvNORto/7oKwm70EIIUTVUObfGo8++iiXLl2qiFhEBWjj7cCz7Ypv3N7/5RpaXZmOoLyLhdqCme1nArDp6iZismNKbGvi6krd118DIHHpUnS5hm0fdjI1YY5/cTXmxaGxJBVqDOrXcaAfVvZmZCbnc+5AuEF9hBBCCFHxLl68yBdffMETTzxB69atadWq1V0v8eC+D/6e03GnMVeZ83HPjzFRmpTeqZxyTp0i4ZNPAXB5+y2sunSpsLkqg06vZ25IDEvC4gGY5uPCp408UVWDrdPFZw/G8f3C00RdT0WlVtJ1WH2GvdUOR/fqv7JTCCFE5StzknDQoEFMmzaN999/n127dvHLL7/c9RJVz9v9G2NjruZKTAbbz0Y90Fj9fPrRwbUDBdoClp1bdt+2jmPHYuLpSVFCAskbNhg8x2j3OrS0sSCzSMeCW7EG9TG1UNNzZPEZjBd+jyQlNtvg+YQQQghRcZo2bUpycrKxw6ixwjPC+ez8ZwBMazcNH9uK29lTGB1DzNRpoNViN3QoDqNHV9hclaFQp2PC9Qi+iin++fywgQez/N2qxdmKBXlFHPrqOn98E4QmX4urvy0j3u1Am37eKJVVP34hhBBVU5mrGyuVJecVFQoFWm313+pZlSrUPSxfHQ9j4b7rOFiacGTmI9hblv8A5ptpNxm+dzhavZYv+3153zNvMg8dImbSZBSmpvjv24upt7dBc1zIzGXA+Zvogd2t69PVwbCzVA6su0zYpWRc/e0YNrMtCrlJEkIIUQNV9XuVzMzMO/9+7tw53n33XRYtWkSLFi0wMbl7lVtVjL+sjPV5FOmKGPPrGC4nX6azW2e+eOwLlIqK2V6qKywk4oVR5F+5gnnz5vhs/Q6lmVmFzFUZcoq0jLsazp9pWZgoFKxq4s1TLhVX6OVhiruVzqGvr5OVko9CqaDjQF/a9veV5KAQQogSVVh1Y51OV+KrJiQIa6rRXXxo5GJDWq6GZb/ffKCxGjo0ZESjEQB8fPpjNLqStwTb9O2LVdcu6AsLiV/4gcFFTNrYWjLavQ4As29GU6jTGdSvx4iGmJipiA/N4PoJw1YhCiGEEOLhsre3x8HBAQcHBx577DH+/vtv+vTpg7Oz853r/7QR5ff11a+5nHwZGxMbPuj2QYUlCAESP15C/pUrKO3s8Fz5WbVOEGZoihh+6TZ/pmVhqVLybUu/apEg1Gl1nNkbyk/LAslKyce2rjnDZral/QA/SRAKIYR4KNTGDkBUDrVKyfuDm/Hcl3+z9XQEIzt60czdrtzjTWg9gQNhB7idcZvtwdsZ1XTUPdspFApc5s0jbPAQco4fJ+vXX7EdMMCgOeb4u7EvKYObuflsiEpioo9LqX1sHM3pNNif4ztCOPXTbXxb1sXKrvrexAohhBDV0ZEjR4wdQo0XnBrM2ktrAZjdaTauVq4VNlfmgQOkbdsGgPuSjzHx8KiwuSpamqaIkZducykrDwe1iq0t/WlrV/XP78tMzuPQV9eJD80AoFEnV3qObIiphfx1TgghxMNT5u3GCxcuvO/333vvvQcKqCqo6lt4HsTEbYHsuxxHex8HdrzR5YHOXNlxcwcLTy3ExsSGvU/tpY5FnRLbJn3+Ocmr16CqW5d6B/ajMvDP9cf4VCYHRWKhVHKsU2M8zUvfJq3T6dn58TmSIrNo0N6Zfq80N/g9CSGEENVBdbpXiYyMxMvL61/3HHq9nqioKLwNPIqkKqvsz6NQW8iIfSO4lX6LPt59WPHIigo7R68gNIzwZ55Bl5tLnddfx3na1AqZpzKkFBYx4tJtrmbn4WiiYkfr+jSztjB2WKW6eSaeo9tuUJivxdRcRa/nG9GwY8UlhYUQQtQ8ht6rlDlJ2KZNm7u+1mg0hIWFoVarqVevHoGBgeWLuAqpTjfeZRWXkcejS4+Sp9GyYkQrnmrjWe6xtDotz+1/jqDUIJ6q/xQLu5WcQNYVFhI2ZCiFYWHYPzcSt/nzDZpDr9fz1IVb/J2RwxN17fi6hZ9B/ZIis9ix+Cx6PQyc1AqfZiUnMIUQQojqpjrdq6hUKuLi4nB2dr7rekpKCs7OzjXiuJrK/jxWnF/BV1e/wtHckZ+G/ISjuWOFzKPLzSV8xAgKQm5h2bEj3l9tQqGunivXkgo1PHvxNsE5+TiZqtnRuh6Nrap2glBTqOWv728QfKq48rKrvx2PvdwU27pVO24hhBBVT4WdSXjhwoW7XlevXiUuLo4+ffowbdq0BwpaVDw3OwsmPlofgEUHgsnKL/k8wdKolCre6fQOAD/d+onzCedLbKs0NcX1P4nB9B+2k3fxokFzKBQKFjf0RK2AX5Mz+DUp3aB+Tt42tHzUC4C/vr+BprD6/wVECCGEqI70ev09V7llZ2djbm5uhIiqtwuJF/jm2jcAvNflvQpLEOr1euIXLKQg5BYqp7p4LFtabROECQUahl24RXBOPi6mana3rl/lE4TpibnsWnKe4FPxKBTQ4UlfnprRRhKEQgghKtRD+U1va2vLggULGDRoEC+++OLDGFJUoFd6+LHjXBThKbmsPnyLdwY0KfdYrZ1bM6zBMHaH7GbhqYXsHLQTE5XJPdtade6E3ZAhZOzZQ9z89/HbuQOFyb3b/rcm1hZM8HJmVWQis25G08XeGnuT0n90Ow7y43ZgIpnJ+ZzbH0aXp+qX+f0JIYQQonymT58OFD/wmzdvHpaWlne+p9VqOX36NK1btzZSdNVTriaXucfnotPrGFxvMH28+1TYXOk7d5KxZw8olXgsXYbayanC5qpIsfmFPHPxNqF5BbibmbCzdX38Lav2edWhF5MI+OY6hflaLGxM6PdKczwbVf3CKkIIIaq/h1YCLSMjg4yMjIc1nKhAZmoV8wc1A+Cr42HcSsx+oPGmt5uOo7kjoRmhfHX1q/u2dZ71Nio7Owpu3CB1y7eGz+HrSn1LMxILi1hw27CqxabmanqObAjAxUNRpMQ82PsUQgghhOH+2XWi1+u5cuXKXTtRgoODadWqFd98842xw6xWlp9fTlRWFK5WrszuOLvC5skPCiLhgw8BcJo6FatOHStsrooUlV/IUxduEZpXgKe5CT+1qdoJQp1Wx8ndt/h1/RUK87W4+tsx/J2OkiAUQghRacp8JuGqVavu+lqv1xMXF8e3335Lr1692PafymfVWXU65+dBjPvmLAHBiXSvX5dvx3V8oAOv94fuZ/ax2ZgqTdk1eBe+dr4ltk3ftYu4ue+isLCg3r69BlfIO5OezZALt9ADP7aqR09HG4P6/frFFUIvJOHiZ8vTb7VDoayYg72FEEKIylKd7lXGjh3LypUrq3ycD6IyPo8TMSd44483APiy35d0dutcIfNos7IIe/oZNJGRWD/yCJ5rP0ehfGjrCipNRF4BT1+8RXS+Bh9zU3a2qY+XAQXwjCUno4BDm64RczMdgFZ9vOgyrB4qVfX7sxdCCFH1VFjhEj+/uwtHKJVKnJycePTRR5kzZw42NoYlbqqy6nTj/SAiUnJ4bMVfFBbpWDmyNUNaG5asuxe9Xs8bf7zBydiTdHTtyMZ+G0tMOur1eiJefJG8c+eLbz7XrTU4QfnOzWi+iknGy9yUPzs0wkqtKrVPdloB2xb8jSZfS6/nG9G8Z/nfpxBCCFEV1JZ7leqioj+PzMJMntrzFIm5iTzf+HnmdJrz0OeA4nu0mMmTyTr0Bybu7vjt3oXK3r5C5qpIEXkFDLtwi5gCDf4WZuxsXQ/3KpwgjL2Vzm9fXiU3oxATMxWPjm5C/XbOpXcUQgghDFRhScLaoDbdeK8KCGH5oZvUsTIlYEYv7C3LfwMVlRXFsD3DyNfm82G3DxlSf0iJbQtu3SL0qWGg0eCxaiW2/foZNEdOkZaeZ4KJKdDwqmddPmhgWHXmy0eiOLY9BBNzFc+91wkbRzkoXQghRPVV1e9Vhg0bxjfffIOtrS3Dhg27b9vdu3dXUlQVp6I/D61Oy5brW9gbupetA7Zioa6Y4hWpW7aQsGgxmJjgu20rFi1aVMg8FSk2v5ChF24RmV9IA0szdrauj4tZ6WdgG4Ner+fy4WhO7LqFXqfHwc2KJ15vjoOrlbFDE0IIUcNUWHVjUbO80aseDZytSckpZNGBoAcay8vGizdaFW+DWXpuKWn5aSW2NatfnzrjXgYg4aNFaLMNOy/QSq1iWePiqsUbo5M5l5FjUL/mvTxx8bNFk6/lz++Ckdy4EEIIUXHs7Ozu7BKws7O770uUTqVUMbb5WH4c+GOFJQjzr18n4dOlALjMmlUtE4RJhRqGX7pNZH4hvham7KjCCUKtRsfhzUEc3xGCXqenQQcXnpnVThKEQgghjMqglYTyNLhmOx+RytPrTgGw7dVOdK1Xt9xjaXQaRu4byc20mwyuN5iPun9UYltdfj6hg4egiYzE4cUXcZ37jsHzTAmKZHt8Kg0szfijQyPMDDgrJy0+h+0fnkVbpKP3i41p2s3d4PmEEEKIqqS23atUddX989Dl5hL29DMUhoVh3acPnmtWP9BZ1caQqini6Qu3CMrJx8PMhJ/bNqiyZxDmZhby6/orxIdmoFAq6PZMfVr29qx2f+ZCCCGqj4e6klCeBtds7XwcGdXZG4B3dl8hX6Mt91gmShPmd5mPAgW/3P6Fv+P+LrGt0twc1/feAyBt61byrl4zeJ7367vjZKomJLeAz8ITDOrj4GpFp8H+AJzYEUJWar7B8wkhhBBC1FQJiz+mMCwMtbMzbh9+UO2SVZlFWkZeuk1QTj4upmp2tq66RUqSo7PZ8fFZ4kMzMLVQM2hiK1o96lXt/syFEELUTHIm4T1U96fB5ZGZr+Gx5UdJyCxgYu/6zHy80QON99HfH/HDjR/wtvFm95DdmKnMSmwbM2Mmmfv3Y9a4MX47fkRhYti2kH2J6bxyLRy1An5r34hm1qVvv9Hp9Oz+9DwJYZl4N3Vk4KRWclMmhBCi2qnq9ypt2rQx+PdrYGCgwePGxMQwa9Ysfv31V3Jzc6lfvz5ff/017du3L7FPQUEBCxcu5LvvviM+Ph43Nzfee+89Xn755Ttt0tPTmTt3Lrt37yY1NRUfHx8+++wzBgwYYFBcVf3zuJ/Mg78RM3UqKBR4f/0VVp0rpmpyRckp0jLyUihnM3NwNFHxU5sGNLKqmmdPh15M4tDX1ykq0GLnbMGTE1rK9mIhhBCVwtB7FXUlxiSqMFtzExYMbs4b351n/dHbDGzlRmPX8t/kTm47mYDIACKzItlweQOT2kwqsa3LnNnkHD9OQXAwyV9swGnimwbNMdDZnicT7diflMG0oEgOtGuIWnn/v5AolQr6jGnC9g/PEnk9laCTcbLtWAghhHjIhg4d+tDHTEtLo1u3bvTu3Ztff/0VJycnQkJCcHBwuG+/4cOHk5CQwKZNm6hfvz5xcXHodLo73y8sLOSxxx7D2dmZnTt34uHhQUREBPbVsKpvWWni4oj7z66OOq+8Uu0ShHlaHWOuhHE2Mwc7tYrtrepVyQShXq8n8LcI/t4TCnrwbOzA4682x9yqap6XKIQQovYq80rChIQEZs6cSUBAAImJif8qAKHVln+ralVRnZ8GP6jXtpzj9+sJtPayZ9f4rqhKSbrdz6GIQ0z/czpqpZqdg3ZSz75eiW0z9u0nduZMUKvx27kD88aNDZojsUBDzzPBpBdpmevvxiQfF4P6Xfg9kpO7b2FqrmKkVDsWQghRzdTGe5XZs2dz4sQJjh07ZnCfgwcPMnLkSEJDQ3F0dLxnm/Xr1/Ppp58SHByMiYG7Gf5Xdfw89FotkWNeIvfcOcxbtMB321aDd3NUBYU6HWOvhBOQmomVSsmOVvVoa1f1VuUVabQc+TaYm2eKj8dp0cuDbsMboFJJ/UghhBCVp8KqG7/00ksEBgYyb948du7cye7du+96ieptwZBmWJupuRiVztbTEQ80Vl/vvjzi+QhFuiIWnFqATq8rsa3tkwOweawvFBURO+cd9BqNQXM4m5mwoL4HAEvD47mVa9g5g636euHiZ0uhVDsWQgghqoVffvmF9u3b8+yzz+Ls7EybNm348ssvDerzySef4OHhQcOGDZk5cyZ5eXl3tenSpQtvvvkmLi4uNG/enEWLFt33wXdBQQGZmZl3vaqblA0byD13DqWlJR7LllarBGGRTs/46xEEpGZioVTwbQv/KpkgzMko4OflF7h5JgGFUkGv5xrS87lGkiAUQghRZZX5N9Tx48fZunUr48ePZ+jQoQwZMuSul6je3OwseLt/8XmEnxy8QVxGXik9SqZQKHin0ztYqC24kHiB7Te237et63vvobKzoyAoiOQNGwyeZ7irA70dbSjQ6ZkcFEmRrvSE3z/bjlVqZfG24xNxBs8nhBBCiMoXGhrKunXraNCgAb/99hvjx49n8uTJbN68+b59jh8/ztWrV/npp5/47LPP2LlzJxMmTLirzc6dO9FqtRw4cIB58+axbNkyPvzwwxLHXbx48V2F+7y8vB7qe61ouRcukLTmcwBc57+Hqbe3kSMynF6vZ/qNSPYnZWCqUPB1Cz+6OlgbO6x/SU/IZdcnxedgm1mqGTy5Fc17eRo7LCGEEOK+ypwk9PLyklVXNdyoTj609bYnu6CIeT9fe6DP283ajaltpwKw4vwKIjMjS2yrdnLCZd48AJLXrSc/ONigORQKBUsbeWGrVhKYmcuqyLJXOz6+U6odCyGEEFWZTqejbdu2LFq0iDZt2vDaa6/x6quvsn79+vv2USgUbN26lY4dOzJgwACWL1/O5s2b76wm1Ol0ODs7s2HDBtq1a8eIESOYO3fufcedM2cOGRkZd15RUVEP/f1WFG1WFrEz3wKtFttBg7CrZg/5F4XG8WN8GioFbGjmyyOOVW97d3xoBrs+OU9WSj62ThY8M6s9no3vvd1dCCGEqErKnCT87LPPmD17NuHh4RUQjqgKlEoFi4e1RK1U8EdQAr9di3+g8UY2HklH147kFeUx78S8Ctl27GFuyscNi5/iLwuP50JmrkH9/tl2rJFtx0IIIUSV5ubmRtOmTe+61qRJEyIjS34A6ebmhoeHB3Z2dnf10ev1REdH32nTsGFDVCrVXW3i4+MpLCy857hmZmbY2tre9aoO9Ho98fPfRxMTg4mnJ67z3zN2SGWyMTqJ1ZGJAHza0Iv+Tnal9Kh8YZeS2LPiAvk5Gpx9bHj6rXbYu1gaOywhhBDCIAYlCR0cHHB0dMTR0ZGRI0fy559/Uq9ePWxsbO5c/+claoZGrja80au40Mh7e66RkWdYsu5elAolC7stxFJtSWBiIN9d/67Etg+y7fgpZ3uGONuj1cPE6xHkaktORt6JTbYdCyGEENVCt27duHHjxl3Xbt68iY+Pz337xMbGkp2dfVcfpVKJp6fnnTa3bt26q+LxzZs3cXNzw9TU9CG/C+PK+HkPmQcOgEqFx9JPUVlXvW26JdmTmMa8kBgAZvu58rx7HSNH9G9X/4rh1/VXKNLo8GlehyHT2mBpW7N+hoQQQtRsBlU3vt9ZL/9rzJgxDxRQVVAdK9RVhHyNlidWHiMsOYfh7T355JlWDzTejps7WHhqIWYqM3YM2oGfnV+Jbctb7ThNU0TvMzeIL9Qw1qMuixsadvbLP9WOTcxVPCfVjoUQQlRxVf1eZfr06Qa3Xb58uUHtzp49S9euXVmwYAHDhw/nzJkzvPrqq2zYsIEXXngBKN4GHBMTw5YtWwDIzs6mSZMmdO7cmQULFpCcnMwrr7xCr1697hQ9iYqKolmzZowZM4ZJkyYREhLCyy+/zOTJk5k7d65BsVX1zwOgMDqasMFD0OXm4jR1CnXfeMPYIRnseFoWz18KpVCvZ6xHXRY18EChUBg7rDv0ej1n9oZx7kA4AE26uvHIC41QSoESIYQQVYSh9yoGJQlrm+pwo1dZzoSlMmLDKfR6+Oql9jza2KXcY+n1et744w1Oxp6kZd2WbH5iM2qlusS20ZMmkf1HAGZNmuD343aDq+4dTc1ixKXbAGxr6c+jdUr/DHU6PT8tPU98aCbuDewZMq0NSmXVufkUQggh/ltVv1fp3bv3XV8HBgZSVFREo0bFxdFu3ryJSqWiXbt2HD582OBx9+3bx5w5cwgJCcHPz4/p06fz6quv3vn+Sy+9RHh4OH/++eeda8HBwUyaNIkTJ05Qp04dhg8fzocffoiFhcWdNqdOnWLatGlcvHgRDw8Pxo0bx6xZs+7agnw/Vf3z0Ot0RI4eQ+65c1i0b4fP5s0oDHxvxnY1K5ehF26RrdXxpJMdG5r5oqpCCUKtVsefW28QfLJ4N0r7J33pONCvSiUxhRBCiApLEqpUKuLi4nB2dr7rekpKCs7Ozmi12vJFXIVU9Ru9yvbhvutsPB6Gk40Zv0/tiYNV+bdNxOfE89Sep8jWZDO17VTGtRhXYtuipCRCBw5Cm5FB3UkTcXrzTYPnmXszmk0xybiYqjnSsTGOJvdORv639MRcfvzoLJoCLZ2G+NP+CV+D5xNCCCEqU3W6V1m+fDl//vknmzdvxsHBAYC0tDTGjh1Ljx49mDFjhpEjfHBV/fNI+fobEpcsQWFpif+enzGtJtWYI/IKGBQYQmJhEV3srfi+ZT3Mq9DqvML8In778hqR11JQKKDX841o1sPD2GEJIYQQ/2LovUqZf8uWlFMsKCiocee2iGIzH29EfWdrkrIKmLfn6gON5WrlyqyOswD4/OLnhKSFlNi2vNWOAebWc6eBpRkJhUW8fSPKoIIk9s6W9BjREICze8NICMs0eD4hhBBC3NuyZctYvHjxnQQhFJ93/eGHH7Js2TIjRlY7FNy6RdKKFQC4zJpVbRKEyYVFPHcplMTCIppYmfNNc78qlSDMz9GwZ8UFIq+loDZR8sT4lpIgFEIIUe2VvrzqP1atWgUUF5bYuHEj1v910LFWq+Wvv/6isYHnxonqxdxExfLhrXhq7Un2XY7j8WaxDGrlXu7xhtQbwh8Rf3A0+ihzj89l65NbMVHeeyux7ZMDyDz4K9l/BBA75x38tv+AwoBktKVKyZqmPjx5/ib7kjLYmZDGs66lF9Zp3MWViKsp3A5M5NBX1xg+twOm5gb/ZyKEEEKI/5GZmUlSUtK/riclJZGVlWWEiGoPvUZD7KzZ6AsLserZA/vhzxo7JIPkFGkZdTmU0LwCPMxM+L5VPewM2BVSWXIzC/ll5QVSYnIwtzLhyTdb4upf9SotCyGEEGVl8OO4FStWsGLFCvR6PevXr7/z9YoVK1i/fj25ubmsX7++ImMVRtTS0543e9cHYN6eqyRm5pd7LIVCwfwu87E1tSUoNYhNVzbdt63b/Pl3qh0nrV5t8DytbCyZ6esKwDs3o4nKLzQotkdeaIS1gxkZSXkc/7HklY5CCCGEKN1TTz3F2LFj2b17N9HR0URHR7Nr1y7GjRvHsGHDjB1ejZb8xQbyr11DaWeH2wcfVotz8op0el67FsHFrFwcTVT80KoermaGnUtdGbJS8/lpWSApMTlY2pkydEYbSRAKIYSoMQxOEoaFhREWFkavXr24dOnSna/DwsK4ceMGv/32G506darIWIWRTexdn2butqTnapiz+4pBW3hL4mTpxDud3gHgi0tfEJxa8lZitZMTrh9+AEDKxk3k/P234TF7u9De1pIsrY7JQRHoDIjZ3MqEvmObggKCTsZx63yiwfMJIYQQ4m7r16/niSee4Pnnn8fHxwcfHx+ef/55+vfvz9q1a40dXo2Vd/Uayf95gO86bx4mLs6l9Kga5t2KISA1Ewulgm9b+NPAytzYId2RkZTLT0sDSU/IxdrRjKdmtKWOu3XpHYUQQohqoswHexw5cuSuM2VE7WGqVrJ8eGtMVUoCghPZcS76gcYb4DeAvt59KdIXMff4XDRaTYltbR97DPtnnwW9nti3Z1GUlmbQHGqlgtVNfLBUKTmVnsP6qH9vd7oXj4YOtH3cB4A/twaTlVr+lZNCCCFEbWZpacnatWtJSUnhwoULXLhwgdTUVNauXYuVlZWxw6uRdAUFxM6eBUVF2PTvj+2TA4wdkkE2RifxdUwyAGua+tDOrur8fKTG5rB7aSBZqfnYOVswbGY77J0tjR2WEEII8VAZVN14+vTpfPDBB1hZWTF9+vT7tl2+fPlDC85YqnqFOmNbf/Q2H/8ajLWZmoNTe+DpUP4bpJS8FJ7a8xRpBWm80uIVprSdUmJbXW4uYU8/Q2FYGDaP9cVj1SqDt818F5vCzBtRmCgU7G3bgNa2pces1erY/cl5EiOy8Ghoz+CpbVAqq/42HSGEEDVfdbxXuXXrFrdv36Znz55YWFig1+urxfZXQ1S1zyNhySekfv01qrp18d/7C+pq8ID/j5RMRl8ORQfM9Xdjko+LsUO6Iykyi19WXSQ/W4OjuxWDp7TGys7M2GEJIYQQBnuo1Y0vXLiARqO58+8lvS5evPhQghdV26s9/Gnn40B2QRFv7biMTlf+bcd1LOowr0txBeNNVzZxNv5siW2Vlpa4L/0UTEzIOvQH6Tt2GDzPC26ODKhrh0av5/Vr4WQWaUvto1IpeezlZqjNVMTcTOfioUiD5xNCCCFEsZSUFPr06UPDhg0ZMGAAcXFxAIwbN44ZM2YYObqaJ/fsWVK/+QYAtw8WVosEYVB2Hm9cC0cHPOfmyETvqrM1Oj40g59XXCA/W4Ozjw1PTW8rCUIhhBA1lkFJwiNHjmBvb3/n30t6HT58uCJjFVWESqlg2bOtsDBRcSo0hS2nwh9ovMd8HmNYg2Ho0TP7r9mk5Ze8ldiiWTOcpxavNkxY/DEFoWEGzaFQKFje2Asvc1Mi8guZHhxp0JmK9i6W9BjeAIDTe0JJjMg0aD4hhBBCFJs2bRomJiZERkZiafn/K/lHjBjBwYMHjRhZzaPNziF2zjug12P39DBsevc2dkilSizQMOpyKNlaHV3trVnS0LPKrDCNDk5lz8qLFOYV4VbfjiFT22BuXXWKqAghhBAPW5nPJBQCwLeuFXMGNAbg44PBhCZlP9B4szrMwtfWl8S8RN47+d59E3iOY8di2aUz+rw8YmbOQFdYetViAHsTNV809UGtgH1JGXwTm2JQvyZd3ajXxgmdTs+hr66jKSh9FaIQQgghiv3+++8sWbIET0/Pu643aNCAiIgII0VVMyV++ima6GhM3N1xmTPH2OGUKk+r46WrYcQUaPC3MGNTc19MlVXjryeR11PYt+YyRQVavJo4MGhSa0wt1MYOSwghhKhQBv2mGzZsmMED7t69u9zBiOplVCcffr+WwPFbyUz78RI73+iCiap8N3aWJpZ80vMTXjjwAn9G/ckPN37gucbP3bOtQqnE/eMlhA0ZQsH1IJI+W4nL228ZNE9bOyve9Xfn/duxzA+Job2tJS1s7n8+oUKh4JFRjYkPyyQ9IZdj22/y6OgmZX2LQgghRK2Uk5Nz1wrCf6SmpmJmJts2H5bsY8dJ374dALdFi1BZV+2quzq9ninBkQRm5mKvVvFdS38cTKpGEi4qKJUD666gLdLh27Iu/V9tjsqkaiQvhRBCiIpk0G87Ozs7g1+i9lAqFSx5piU25mouRaWz7PebDzRekzpNmN6uuDDO0rNLuZlW8ngmLs64ffQhAKlffUXOyZMGz/O6lxP96thSqNfz2rVwsg04n9DcyoS+Y5uCAoJOxhF0Ms7g+YQQQojarEePHmzZsuXO1wqFAp1OxyeffELvarAdtjrQZucQN/89ABxefBGrzp2MHFHpPg2L55fEdEwUCjY198XfsmokjKODUzmw9jJazX8ShK9JglAIIUTtYVB149qmqlWoq+oOXIljwtZAALa83JGeDZ3KPZZer2fi4Yn8Ff0X9ezq8f3A77FQW5TYPm7++6Rv347ayQm/X/YYfDh3mqaIvmdvEFOg4Slne9Y29THo/JtzB8I4/UsYahMlT89qT13Pqv2UXgghRM1Une5Vrl69Sp8+fWjbti2HDx9m8ODBXLt2jdTUVE6cOEG9evWMHeIDM/bnEb/wA9K2bcPE0xP/X/agvMfKzapkR3wqk4KKC8KtaOzFc251jBxRsZibaexbc4miQh0+LerwxGstJEEohBCiRnio1Y2FuJ8BLdx4oZM3ANN/vEhiVn65x1IoFHzQ7QPqWtTldsZtPj376X3bu8yeham/P0VJScS9O8+gYiQADiZq1jfzRaWAnxLT2RqXalC/dv198W7mSJFGx8ENVyjMKzKonxBCCFFbNW/enJs3b9K9e3eGDBlCTk4Ow4YN48KFCzUiQWhsuefOkbZtG1BczbiqJwjPZuQwIzgKgInezlUmQRh7K519n1+mqFCHdzNHWUEohBCiVpLffOKhmDewKY1cbEjOLmTGj5fQ6cq/QNXR3JFF3RehQMGOmzs4FHGoxLZKCws8ln4KJiZkBwTcuUk2RAc7K2b7uQHwbkg017PzSu2jUCroO7Yp1g5mZCTmcfjbIIMTk0IIIURtFBkZia2tLXPnzuXHH3/kwIEDfPjhh7i5uREZGWns8Ko1XX4+cXPfBcD+2Wew6tLFyBHdX3yBhnFXwyjU6xlQ1453/N2MHRIAcbcz2Lf60p0iJU+80QK1icrYYQkhhBCVTpKE4qEwN1Gx5vk2mJsoORaSzBd/hT7QeF3cuzC2+VgA5p+cT1x2yWcAmjdtivOM4rMMEz5eQt7lywbP86a3M4862pCvKz6fMMeA8wktrE15/NXmKFUKbgcmcflwtMHzCSGEELWNn58fSUlJ/7qekpKCn5+fESKqOZI//5zCiAjUzs44v2VYETdjKdDpGHc1jMTCIhpbmbO6iTdKA456qWjxYRnsXX0RTYEWj0YODBjfUhKEQgghaq0qkST8/PPP8fX1xdzcnE6dOnHmzJn7tt+xYweNGzfG3NycFi1acODAgTvf02g0zJo1ixYtWmBlZYW7uzujR48mNja2ot9GrdfAxYYFg5sBsPT3G5yPSHug8Sa2mUiLui3IKsxi9rHZFOlK3trrOGYMNo/1BY2G6KlTKUozbG6lQsGqJj64mppwK7eAWTejDVoZ6OpvR7dn6gNwctct4kMzDHtTQgghRC2j1+vvee5vdnY25ubmRoioZsi7eo2Ur74GwPX9+aiq+NmUc2/GcD4zFzu1im9a+GGlNn4iLiE8k70rL6LJ1+LR0J4n32yJ2tT4cQkhhBDGYvQk4fbt25k+fTrz588nMDCQVq1a8fjjj5OYmHjP9idPnuS5555j3LhxXLhwgaFDhzJ06FCuXr0KQG5uLoGBgcybN4/AwEB2797NjRs3GDx4cGW+rVpreHsvBrVyR6vTM/n7C2Tkaco9lonShCU9lmBlYkVgYiBfXv6yxLYKhQK3RYsw8fGmKDaO2LfeRq8tfVUgQF1TNeua+aAEdiak8V1cikH9WjziSf12zuh0en778ip5WYUG9RNCCCFqg+nTpzN9+nQUCgXz5s278/X06dOZMmUKI0aMoHXr1sYOs1rSazTEvfsuaLXYDhiAzaOPGjuk+9oSk8x3cSkogHVNffC1MH4l46TILPauukhhvha3+nY8+WYrTCRBKIQQopYzqLrxqlWrDB5w8uTJZQqgU6dOdOjQgTVr1gCg0+nw8vJi0qRJzJ49+1/tR4wYQU5ODvv27btzrXPnzrRu3Zr169ffc46zZ8/SsWNHIiIi8Pb2/tf3CwoKKCgouPN1ZmYmXl5e1aJiYFWUma9h4KrjRKbm8mQLN9Y838agysEl2Re6jznH5qBUKFnfdz1d3Es+byf/xg3CR4xEn59P3YkTcZr4psHzrIpIYFFoHCYKBbvb1KeDnVWpfQrzi9ix+BzpCbl4NXVk4MRWKJXG3zojhBCiZjN2NV1D9O7dG4CjR4/SpUsXTE1N73zP1NQUX19fZs6cSYMGDYwV4kNT2Z9H8rp1JK1chcreHv8D+1E7Olb4nOV1NiOHYRduodHrecffjck+LsYOibT4HHYvDSQ/W4NbPTsGTmqFqbna2GEJIYQQFcbQexWDfhuuWLHirq+TkpLIzc3F3t4egPT0dCwtLXF2di5TkrCwsJDz588zZ86cO9eUSiV9+/bl1KlT9+xz6tQppk+ffte1xx9/nJ9//rnEeTIyMlAoFHfi/V+LFy9mwYIFBsct7s/W3ITVz7Xh6XUn2X8ljm5n6vJ8p38nZw010H8gp+NO8/Otn5n11yy2D9yOm/W9D7o2b9QI1/fnEzd7Dsmff45Fq1ZY9+hu0DyTvJ25lJXL/qQMxl0N4/f2jXA1M7lvH1NzNf1fa87Oj88RdT2VcwfC6ThQzlcSQgghjhw5AsDYsWNZuXJllU1mVjcFt26RvHYdAC5z51bpBOE/hUo0ej0DneyY5O1s7JDISs3nl5UXyc/W4Oxjw8CJkiAUQggh/mHQduOwsLA7r48++ojWrVsTFBREamoqqampBAUF0bZtWz744IMyTZ6cnIxWq8XF5e4nii4uLsTHx9+zT3x8fJna5+fnM2vWLJ577rkSb07nzJlDRkbGnVdUVFSZ3of4t1Ze9szq3xiABXuvcSM+64HGm9tpLk0cm5BWkMb0P6dToC0osa390KHYDx8Oej2xb72FxsDzKBUKBasae9PIypzEwiLGXQ2jQKcrtV8dD2seeaERAGf3hxF53bDtykIIIURt8PXXX0uC8CHRa7XEzX0XvUaDda9e2A580tghlei/C5U0sjJnZWPvB9pZ8jDkZRXyy8qLZKcV4OBqWbyC0EIShEIIIcQ/ynwm4bx581i9ejWNGjW6c61Ro0asWLGCd99996EG96A0Gg3Dhw9Hr9ezbt26EtuZmZlha2t710s8uHHd/XikkRMFRTombgskt7DkwiOlMVebs6L3CuzM7LiacpWPz3x83/Yuc9/BvGlTtOnpRE+dhq7QsPMCrdQqvmnuh51axfnMXObejDGoX6PObjTt4Q56OLTpOpnJeQb1E0IIIWqDc+fO8fbbbzNy5EiGDRt210sYLm3rVvIuXUJpZYXrgveNnnS7n3dD/qtQSXPjFyopzC9i7+pLpCfkYu1gxqDJrbGwNi29oxBCCFGLlDlJGBcXR1HRv5M9Wq2WhISEMo1Vt25dVCrVv/olJCTg6up6zz6urq4Gtf8nQRgREcGhQ4ck8WcESqWCpc+2wtnGjJDEbObsvmJQ5eCSeFh7sKTHEhQo2HlzJz+F/FTy3GZmeKxaidLOjvzLl0n8eInB8/hZmrGuqQ8K4Lu4FLbEJBvUr8fwBjh525Cfo+HAuisU5pc/KSqEEELUFD/88ANdu3YlKCiIn376CY1Gw7Vr1zh8+DB2dnbGDq/aKIyKInHFZwA4v/UWJiXcK1cF38Ym823s/xcq8bM0bqGSIo2WA+uukBSZhbm1CYOntMbGUSprCyGEEP+rzEnCPn368PrrrxMYGHjn2vnz5xk/fjx9+/Yt01impqa0a9eOgICAO9d0Oh0BAQF06XLv4hRdunS5qz3AoUOH7mr/T4IwJCSEP/74gzp16pQpLvHw1LU2Y/VzbVArFey5GMtXJ8IfaLxuHt14s3VxMZIP//6QaynXSmxr6umJ+5LiFYdp27aRsXdfiW3/16N1bHnHv/jcw7khMZxJzy61j9pExRNvtMDCxoSUmGwCNgeh15U/KSqEEELUBIsWLWLFihXs3bsXU1NTVq5cSXBwMMOHD79nQTnxb3q9nrj33kOfl4dlx47YD3/W2CGV6FxGDu/8ZyfGHH83Hq1j3Af1Oq2OQ5uuE3MjDRMzFYMmtcLBtfTidEIIIURtVOYk4VdffYWrqyvt27fHzMwMMzMzOnbsiIuLCxs3bixzANOnT+fLL79k8+bNBAUFMX78eHJychg7diwAo0ePvquwyZQpUzh48CDLli0jODiY999/n3PnzjFx4kSgOEH4zDPPcO7cObZu3YpWqyU+Pp74+HgKDdxyKh6uTv51mPtkEwAWHQji79AHO7Pv1Zav8ojnIxTqCpl+ZDrp+ekltrV55BHqjH8DgLj33qMgJMTgeSZ6OzPIyR6NXs+4a+HEFZT+82PjaM4Tb7REqVYQeiGJs/vDDJ5PCCGEqIlu377Nk08Wn51nampKTk4OCoWCadOmsWHDBiNHVz3oMjPR5xegMDfH7YOFKJRlvoWvFEmFGl65Go5Gr+fJKlCoRK/X8+fWG4ReTEKpVjBgQkucfWR3kRBCCFGSMt9hODk5ceDAAYKDg9mxYwc7duwgKCiIAwcO4Oxc9huBESNGsHTpUt577z1at27NxYsXOXjw4J3iJJGRkcTFxd1p37VrV7Zt28aGDRto1aoVO3fu5Oeff6Z58+YAxMTE8MsvvxAdHU3r1q1xc3O78zp58mSZ4xMPx0tdfXmqjQdanZ6J2wKJyyj/mX1KhZKPenyEt403sTmxzDo2C61OW2J7p4kTseraBX1eHtGTJqPNyDBoHoVCwWeNvWhiZU5SYRHjroYbVMjErZ4djzz/TyGTcG6dTzTsjQkhhBA1kIODA1lZxQXMPDw8uHr1KgDp6enk5uYaM7RqQ2Vnh8/W7/DdthVTHx9jh3NPOr2eSdcjiS/U0MDSrEoUKjm1+zZBJ+NQKODxV5rj2cjBqPEIIYQQVZ1CX85D4goLCwkLC6NevXqo1TWrKlhmZiZ2dnZkZGTIWYYPUV6hlqfXneR6XCatvOz58fXOmD3AIdY3027ywv4XyNfm81rL15jUZlKJbYtSUwl7+hmK4uKw6tYNry/WozDw5zY8r4D+526SXqTleTdHljXyMuim9/iOEC4FRKE2UTLsrXY4edsY/N6EEEKI+6lO9yrPP/887du3Z/r06XzwwQesXr2aIUOGcOjQIdq2bcvu3buNHeIDq06fR0VZER7PkrB4LJQKDrRrSBNrC6PGE/hbBKd+ug3Ao6Mb06Sru1HjEUIIIYzJ0HuVMq8kzM3NZdy4cVhaWtKsWTMiIyMBmDRpEh9/fP+Ks6J2szBV8cWL7bC3NOFSVDrz95R8nqAhGjo05P2u7wOw4fIGjkQeKbGt2tERr7Wfo7CwIOfECRLKUMjE18KM9c18UALb4lL5Jtaw7dJdh9XDu6kjRRodB9ZdJjdTtrsLIYSofdasWcPIkSMBmDt3LtOnTychIYGnn36aTZs2GTk68TAcT8vi07B4ABY39DR6gvDG6fg7CcKuw+pLglAIIYQwUJmThHPmzOHSpUv8+eefmJv/f1Wwvn37sn379ocanKh5vBwtWTWyDUoF/HA2im2nIx9ovCf9n+SFJi8A8M7xd4jIjCixrXmTJv9fyOS770j7wfCf10cc/7+Qybsh0RxOySy1j1KlpN8rzbB3sSQ7rYCDX1xBqyl9u7IQQghRkzg6OuLuXpykUSqVzJ49m19++YVly5bh4CDbP6u7xAIN469HoANGuDoy0s24BQOjb6RxeEsQAK0f86ZNPymOI4QQQhiqzEnCn3/+mTVr1tC9e/e7tlw2a9aM27dvP9TgRM3Us6ETMx8vPrNv/i9XCYxMe6DxZrSbQRvnNmRrspkYMJGMgpLPHLTt1w+nqVMAiP/wQ3L+Pm3wPG96OzPC1RGtHl69Fs617NLPVTSzNGHA+BaYWqiJu53B0e9vUM4d/kIIIUS1kZmZafBLVF9avZ7x1yNIKiyisZU5ixt6GjWe1Ngcfl1/BZ1WT/12znR9qp5R4xFCCCGqmzInCZOSku5ZoOSfSnVCGGJ8r3o80dwVjVbPhO8CScoqKPdYJioTlj+yHFcrV8Izw5nx5ww0Ok2J7eu8/jq2AwdCURHRU6ZQGFHy6sP/plAo+LSRJ93trcnR6hh1OdSgiscOrlY8/kozFAoIOhnH5cPRBr83IYQQojqyt7fHwcHhvq9/2ojqa2lYPCfSs7FUKfmymS+WKuNVXc7JKGDfmksU5hXh6m9Hn5eaoFDK302EEEKIsihzxZH27duzf/9+Jk0qLhLxT2Jw48aNdOnS5eFGJ2oshULBp8+2IiQxm1uJ2by5NZCtr3bCpJw3l3Ut6rLm0TWM/nU0p+NP89HfHzG/y/x7Jq4VCgVuH35AYWQk+ZcvEzV+Ar7bf0BlU3phEVOlkk3NfRkYGEJIbgEvXg7j5zb1sS6lAIt3szp0fbo+J3be4sTOEBxcLfFuZtztOEIIIURFOXKk5HOCRc3wZ2omn0UkAPBpQ08aWJmX0qPiaAq0HFh7mazUfOycLRgwoQVqk/IXxxNCCCFqqzJXNz5+/DhPPPEEo0aN4ptvvuH111/n+vXrnDx5kqNHj9KuXbuKirXSSIW6ynM7KZuha06QVVDEi519WDik2QOtSP0r+i8mHZ6ETq9jRrsZvNT8pRLbahITCX92OEUJCVj16IHXurUGVzyOzCtgwPkQkjVFPOpow5YW/qhLeVqt1+s5/G0wwSfjMDFT8dSMtlLxWAghRLnIvUrVUts+j7iCQvqevUmKpogX3evwaSMvo8Wi0+n5df0Vwi8nY25lwtOz2mHvbGm0eIQQQoiqqMKqG3fv3p2LFy9SVFREixYt+P3333F2dubUqVM1IkEoKlc9J2uWj2iNQgHf/h3B1yfCH2i8np49eav9WwAsP7+cgMiAEtuaODvjufZzFObm5Bw7RuKnnxo8j7eFGVta+mGhVHA4NYu5IdGlnjWoUCh45PlGeDRyQFOgZd+aS2Qml36uoRBCCFET5ObmEhwczOXLl+96ieqlSKdn/LUIUjRFNLM2Z2F9D6PFotfrOf5jCOGXk1GplQyY0FIShEIIIcQDKPNKwtqgtj0Nrgo2/HWbRQeCUShgw4vteaypS7nH0uv1fHT6I7bf2I6F2oJv+n9D0zpNS2yfefA3YqZOBcD1g4U4PPuswXMdSEpn3NVw9MD8eu6M9/73eZ3/qyCviJ+WBpISk429iyVPv9UOc2sTg+cUQgghqtO9SlJSEmPHjuXXX3+95/e1Wm0lR/TwVafP40F9dDuW1ZGJWKuU/N6+Ef6WZkaL5eIfkZzYeQuAx19tTv12pd+HCSGEELVRha0kVKlUJCYm/ut6SkoKKpWc/SHK59Ue/jzfyRu9HiZ/f4GrMSVXKC6NQqFgdsfZdHXvSl5RHpMCJpGQk1Bie9v+j1N30kQA4hcsJOfUKYPnGuBkz/x67gAsvB3LvsT0UvuYWagZOLEV1g5mpCfksn/tZYoKq/9fkIQQQoh7mTp1Kunp6Zw+fRoLCwsOHjzI5s2badCgAb/88ouxwxNl8GdqJqsji/8esLyxt1EThLcvJHJiV3GCsOuw+pIgFEIIIR6CMicJS1p4WFBQgKmp6QMHJGonhULBgsHN6NGgLnkaLS9/c5bY9PJvxVUr1SzttZR6dvVIzEtk0uFJ5GpyS2xfd8IEbAcMKK54PHES+devGzzX615OvORRFz0wMSiCwIycUvtYO5gxcFIrzCzVxIdmcOir6+h0sqhXCCFEzXP48GGWL19O+/btUSqV+Pj4MGrUKD755BMWL15s7PCEgZILi5gcFAnAGPc6DHa2N1os8WHF907ooXkvD1o/ZrwzEYUQQoiaxOAk4apVq1i1ahUKhYKNGzfe+XrVqlWsWLGCN998k8aNG1dkrKKGM1Ep+fyFtjRysSExq4CXvzlLdkFRucezMbVhdZ/VOJg5EJQaxJxjc9Dpdfdsq1AocFu8CMuOHdHl5BD52usURkcbNI9CoeDD+h70cbQlX6fnxSthhOYWlNqvjrs1T7zRAqVaQejFJI7/GFLquYZCCCFEdZOTk4Ozc/EqLwcHB5KSkgBo0aIFgYGBxgxNGEiv1zMtOJLEwiIaWprzvhHPIcxOK+DXdVfQanT4tKhDj+ENHqjonRBCCCH+n8FJwhUrVrBixQr0ej3r16+/8/WKFStYv349ubm5rF+/viJjFbWArbkJX43tgJONGcHxWUzcFkiR9t6JPUN42Xix8tGVmChNOBx1mM/Of1ZiW6WZGZ6fr8GsUSO0yclEjXuFotRUg+ZRKxVsaOZDC2sLUjRFPHvxFrH5haX282joQN+Xis9LvPJnNBd+jzRoPiGEEKK6aNSoETdu3ACgVatWfPHFF8TExLB+/Xrc3NyMHJ0wxDexKRxKycRUoWB9Mx8sVGXejPRQFBVq+XX9ZXIzC6njYUW/cc1QGikWIYQQoiYy+LdqWFgYYWFh9OrVi0uXLt35OiwsjBs3bvDbb7/RqVOnioxV1BIe9hZsGtMecxMlf95IYsHe6w+0wq6NcxsWdlsIwNfXvmbLtS0ltlXZ2OC1YQMm7u4URkQQ9fob6HJK3z4MYKVWsa2VP/4WZsQUaBhx6TbJhaWvhGzQ3oVuz9QH4NRPt7l5Jt6g+YQQQojqYMqUKcTFxQEwf/58fv31V7y9vVm1ahWLFi0ycnSiNME5eSy4FQPAu/XcaGptYZQ49Ho9h78NJjEiC3MrEwaMb4mpudoosQghhBA1lVQ3vofaVKGuKjt4NZ7xW8+j18O8gU0Z193vgcbbeGUjKwNXAvBR948YXG9wiW0LQsOIeP55tOnpWPXogdfaz1GYGFaBODq/kMGBIcQWaGhpY8Gu1vWxUZde1Of4jhAuBUShVCkYOKkVXo0dDXtjQgghap3qfK+Sm5tLcHAw3t7e1K1b19jhPBTV+fO4n3ytjgHnb3I9J5/ejjZsbemP0khbewN/i+DUT7dRKhUMntIaj0YORolDCCGEqI4MvVcpV5IwOjqaX375hcjISAoL795SuXz58rJHW8XU1Bu96mjjsVA+3B+EQgFfjGpHv2au5R5Lr9fz6blP+fb6t6gUKlb2Xkkvr14lts+7eJGIl8aiz8/HbsgQ3D5ebPCZNyE5+Qy5EEKqRksXeyu2taxX6tYcvU7P75uucet8IiZmKoZMbYOLn/z8CSGE+De5V6laaurn8V5IDBuik6hjoubPjo1wMjXsgenDFn45mf3rLoMeej3fiOY9jXcmohBCCFEdGXqvUuZDPAICAmjUqBHr1q1j2bJlHDlyhK+//pqvvvqKixcvPkjMQvzLuO5+jOrsjV4Pk3+4wLlww84IvBeFQsHM9jMZ5D8IrV7LjKMzCEwo+cB0i9at8fhsBahUZOzZQ1IZEuANrMz5oVU9bFRKTqXn8Nq1cDSlVC9WKBX0eakJHo0c0BRo2bv6IklRWQbPKYQQQlRFTz/9NEuWLPnX9U8++YRnn33WCBEJQxxOyWRDdHGRmc8aexktQZgam8PvX10rrmTc00MShEIIIUQFKnOScM6cOcycOZMrV65gbm7Orl27iIqKolevXnKjJx46hULB+4Oa0buRE/kaHWO/Ocv12Mxyj6dUKFnQbQE9PXtSoC1gYsBEbqTeKLG9zSOP4Law+DzDlC83krql5PMM/1dLG0u2tPTHXKngUEomU4Ij0ZWycFdtomLA+Ba4+ttRkFvELysvkhpn2JmIQgghRFX0119/MWDAgH9df+KJJ/jrr7+MEJEoTVKhhinBxcXUXvaoy2N17YwSR36Ohv3rLqPJ1+LR0J7uIxoYJQ4hhBCitihzkjAoKIjRo0cDoFarycvLw9ramoULF97zKbEQD0qtUrL2hXZ08HUgK7+I0V+dISy5/IkzE6UJS3stpa1zW7I0WbzxxxtEZUWV2N7+6WE4TZ0KQMLij8nYv9/gubrYW7OxuR9qBexOSOOdkJhSi7CYmqsZOKkVTt425Gdr2PPZBTKScg2eUwghhKhKsrOzMTU1/dd1ExMTMjPL/+BPVAy9Xs/04CiSCotobGXOvHruRolDp9Xx25dXyUzKw6aOOY+/1hyVVDIWQgghKlSZf9NaWVndOYfQzc2N27dv3/lecnLyw4tMiP9iYapi45gONHWzJTm7gFEbTxOfkV/+8dQWrO6zmgYODUjOS+b1Q6+TnFfyz2+d11/D4fnnQa8n9u1ZZB46ZPBcfevYsqaJDwrgm5hkloSVXr3YzELN4MmtcXS3IjejkD0rLpKVWv73K4QQQhhLixYt2L59+7+u//DDDzRt2tQIEYn7+TommUMpmZgpFaxr6lPqmcoV5cTOW0QHp6E2UzFgfEssrP+daBZCCCHEw1Xm3/qdO3fm+PHjAAwYMIAZM2bw0Ucf8fLLL9O5c+eHHqAQ/7CzMGHzyx3xq2tFTHoeozadJjWnsPSOJbA1teWLvl/gYe1BVFYUbxx6g6zCe58BqFAocJn7DraDB4FWS8z0GWQdOWLwXENdHPi4oScAn0UksDoiodQ+5tYmDJ7SGnsXS7JS89mz4gI5GQUGzymEEEJUBfPmzeODDz5gzJgxbN68mc2bNzN69Gg++ugj5s2bZ+zwxH8Jzslj4e1YAObVc6eJtYVR4rh+PJbLR6IBeOylptT1tDZKHEIIIURtU+Yk4fLly+nUqRMACxYsoE+fPmzfvh1fX182bdr00AMU4r852Zjx7biOuNmZcysxm5e+PkNWvqb841k6seGxDTiaO3Ij7QaTDk8iv+jeK/YUKhXuixZhO+AJ0GiImTyF7GPHDZ5rjEdd5vq7AfBRaBwrw0tPFFrZmTF4Smts6piTkZTHns8ukpdd/sSoEEIIUdkGDRrEzz//zK1bt5gwYQIzZswgOjqaP/74g6FDhxo7PPEfhTodE69Hkq/T86ijDeM86holjoSwTI5+X3xedMdBfvi3cTJKHEIIIURtpNCXdkBaLWRoaWhhPLcSsxn+xSlScwrp7O/IN2M7Ym6iKvd4QSlBvPzby2Rrsuni1oVVj67CXG1+z7Z6jaZ4JeGhQyjMzPBavw6rLl0Mnuuz8Hg+/s+W47f9XJnu61pqn4ykPH5aFkhOegF1vawZOq0NZpbGqTIohBDC+KrLvUpRURGLFi3i5ZdfxtPT09jhVJjq8nncz5LQOFZEJOBoouLPDo1xNqv8+4y87EJ+/Ogs2WkF+Ld2ov/rzVEoFJUehxBCCFHTGHqvIqf/imqpvrM1m8d2xNpMzd+hqUzcdgGNVlfu8ZrUacKaPmuwUFtwKu4Ukw9PLnlFoYkJHsuWYt27N/qCAqLGTyDnzBmD55rq63pnReEnYfEsNeCMQjsnC4ZMbY2FjQnJUdnsXX2Jwvwig+cUQgghjEGtVvPJJ59QVCS/s6qyC5m5rIos3uHwcUMvoyQIdTo9hzZdIzutADtnCx4d00QShEIIIUQlMyhJ6ODggKOjo0EvISpLC087No5pj6layR9BCby98zI6XfkXxrZzacfaPmvvJAqnHJlScqLQ1BSPlZ9h1aMH+vx8ot4YT25goMFzTfJx4d3/JAqXhsezJDSu1KrHDq5WDJ7SBjNLNQlhmfyy8iIFueXfai2EEEJUhj59+nD06FFjhyFKkK/VMTkoAq0ehjrbM9jZ3ihxnN0XRlRQGmpTJU+83gIzC7VR4hBCCCFqM4O2G2/evNngAceMGfNAAVUFNWHLSG3yx/UEXv/uPFqdnuc6evHR0BYoleV/8nwu/hwTAiaQV5RHN/durHx0JWYqs3u21eXnEz1hAjknT6G0ssL766+waNnS4LnWRSay4D8HhE/1cWGWn2upT80TIzL5ZdVFCnKKqOtlzeApraXinxBC1DLV6V5l/fr1LFiwgBdeeIF27dphZWV11/cHDx5spMgenur0efyvBbdiWBeVhLOpmj87NsbRpPKTc+FXktn/+WUA+o5tSqNOpR/FIoQQQgjDGXqvImcS3kN1vtGrrfZcjGHq9ovo9TC8vScfD2tZeYnCvDyiXn+D3DNnUNrY4P3N11g0a2bwXF9EJTL/VnGicJK3M+/4u5WaKEyOzuaXlRfIy9Lg6G7F4CmtsbK7d3xCCCFqnup0r6JUlrxxRaFQoNVqKzGailGdPo//djo9m6EXbqEHtrTwo19du0qPITM5jx8XnaUgt4gWvTzo+VyjSo9BCCGEqOke+pmEOp2OJUuW0K1bNzp06MDs2bPJy8t7KMEK8aCGtPZgxfDWKBXw47lo3tp5Ge0DbD1u79qez/t8joXaghOxJ5hyeAoF2oJ7tlVaWOC1bi0Wbduiy8oi8uVx5F25YvBcr3s582EDDwBWRybywe3Stx7X9bTmqRltsbIzJTU2h5+WBZKVeu+t0UIIIYQx6XS6El81IUFYXeUUaZkcFIkeGOnqaJQEYZFGy69fXKEgtwgXP1u6PdOg0mMQQgghxP8zOEn40Ucf8c4772BtbY2HhwcrV67kzTffrMjYhCiToW08WDmyDSqlgl2B0cz48SJFD1DMpINrh7sThUfukyi0ssJrwxdYtGqFLiODyDEvlamYySueTiz6T6JwbVQi79+KNeiMwqdmtsXG0ZyMxOLqx5nJkrgXQghRdeXnywOtquKD0Dgi8gvxMDNh4X/uQSrbXz/cJDkqG3NrEx5/tTkqE6mpKIQQQhiTwb+Jt2zZwtq1a/ntt9/4+eef2bt3L1u3bkWnK38SRoiHbVArd1Y/1wa1UsHPF2OZ9uOlh5cojDnB1CNTS0wUqqyt8dq0CctOndDl5hL16mtkl+Gg9pc9nfi4oScAX0QnMTU4iqJSVkPaOVny1My22DlZkJWSz+6lgaQn5Br+BoUQQogKptVq+eCDD/Dw8MDa2prQ0FAA5s2bx6ZNm4wcXe10NDWLb2KSAVjR2BtbtarSY7h+IpagE3GggH7jmmHjaF7pMQghhBDibgYnCSMjIxkwYMCdr/v27YtCoSA2NrZCAhOivAa0cGPN821RKxXsvRTLlB8uonkIiUJzlTnHY44zKWASuZp7J+JU1sUrCq1790ZfUEDUmxPJPHDA4Lle8qjLZ429UClge3wqY6+GkVtK7DaO5jw1sy0OblbkpBewe1kgKTHZZXqPQgghREX56KOP+Oabb/jkk08wNf3/QlvNmzdn48aNRoysdsos0jItOBKAsR516eloU+kxJEVm8df3NwHoNMgfryaOlR6DEEIIIf7N4CRhUVER5uZ3P+EzMTFBo9E89KCEeFD9m7uyblQ7TFQK9l+JY9K2CxQWPViicG3ftVioLTgVd4pXf3+V9Pz0e7ZVmpnhuWoltk8+CUVFxMyYSdqOHQbPNdKtDl8398NcqeBQSiYjLt4mTVN03z5WdmY8Nb0NdTytycss5OflF0iMyCzLWxRCCCEqxJYtW9iwYQMvvPACKtX/r1hr1aoVwcHBRoysdpoXEkNsgQZfC1PeredW6fPn52j49YsraIt0+LaoQ7v+PpUegxBCCCHuzeAkoV6v56WXXmLYsGF3Xvn5+bzxxht3XROiqnisqQtfvNgOU5WSg9fieXNb4AMnCjf224idmR2Xky8z5uAY4nPi79lWYWKC+ydLsB8xAvR64ue9R8rX3xg8V7+6dvzYqh52ahVnM3MYeuEWsfmF9+1jYWPK0GltcPa1JT9Hw8/LLxB1PbUsb1EIIYR46GJiYqhfv/6/rut0OnnYXMl+S85ge3wqCmBVY2+sVJW7zViv13Pk22CyUvKxrWtOn5eaolAqKjUGIYQQQpTM4CThmDFjcHZ2xs7O7s5r1KhRuLu733VNiKrk0cYubBjdDlO1kkPXE3j923PkFZa/kmJLp5Zs7r8ZZ0tnQjNCGf3raMIywu7ZVqFS4fr+fOq8Mg6AxCVLSFq1utSCJP/oaG/Nz23q42pqwo2cfAYFhhCSc/8D382tTBgypTUejezRFGjZt+YSwX/Hle1NCiGEEA9R06ZNOXbs2L+u79y5kzZt2hghotopTVPEzBtRALzh5URHe+tKj+Hq0RhCLyahVCl4/NXmmFuZVHoMQgghhCiZQm9oxqIWyczMxM7OjoyMDGxtbY0djngIjoUk8crmcxQU6Wjrbc9XL3XA3tK09I4liM2O5fVDrxOeGY6DmQPrHltHszrN7tlWr9eT8sUGkj77DACH0S/iMns2CqVhOfqo/EJGXrzN7bwCHE1UfNfSn7a2Vvfto9XoCNgSRMjZBAA6DfGnXX8fFAp5Wi+EEDVBdbpX2bNnD2PGjGHOnDksXLiQBQsWcOPGDbZs2cK+fft47LHHjB3iA6sOn8eUoEi2x6fSwNKMQ+0bYa6q3ErCydFZ7Pz4PNoiHd2fbUCrPl6VOr8QQghRmxl6r1K5dwdCGEmPBk5sfaUTdhYmBEam88z6U8Sm55V7PHdrdzY/sZmmdZqSVpDGywdf5kzcmXu2VSgU1H3jdVzefReAtC3fEjtrNrrC+28f/oeXuSl72jaglY0FqRotz1y8zZ+p9z9vUGWi5LGxTWnTzxuA03tCObrtBroHKOAihBBClMeQIUPYu3cvf/zxB1ZWVrz33nsEBQWxd+/eGpEgrA7+TM28s814eWPvSk8Qagq0/PbltTvnELZ81LNS5xdCCCGEYWQl4T1Uh6fBonxuJmQx5qszxGXk42ZnzuaXO9LQpfxV/bILs5l6ZCqn409jojThk56f0Nenb4nt03/+mbi574JWi2X79niuWY3K3t6wuYq0vHw1jL/SslErYGkjL0a61Sm13+Uj0Rz78SbowbdlXfqNa4aJWeWeQSSEEOLhknuVqqUqfx45RVoeOXuDqPxCxnnU5aOGlZ+gC9gSRPDJOKzsTBkxryMW1uXfzSGEEEKIspOVhELcQ0MXG3aN70p9Z2viMvJ5Zt1JzoWXv7iHtak1n/f9nL7efdHoNMw4OoNdN3eV2N5+6FC8NnyB0tqa3HPnCB/5HIWRkYbNpS7eajzU2Z4iPUwNjuKD27FoS8nzt+ztSf/XmqMyURJ+OZmfV1wgL8uwVYxCCCHEg/L39yclJeVf19PT0/H39y/TWDExMYwaNYo6depgYWFBixYtOHfu3H37FBQUMHfuXHx8fDAzM8PX15evvvrqnm1/+OEHFAoFQ4cOLVNcVdnHYXFE5RfiYWbCO/6VX834xul4gk/GoVDAY+OaSYJQCCGEqMIkSShqHXd7C3a+0YW23vZk5hfxwsbTHLqeUO7xzFRmLO21lKcbPI1Or+P9U++zMnAlOv29t/Zad+uGz7atqN3dKAwPJ3zESHIvXDBoLlOlkrVNfZjm4wLA55GJvHw1jJyi+xdjqdfGmSFTWmNmpSYxPJNdn5wnIym3bG9UCCGEKIfw8HC02n//niooKCAmJsbgcdLS0ujWrRsmJib8+uuvXL9+nWXLluHg4HDffsOHDycgIIBNmzZx48YNvv/+exo1anTPOGfOnEmPHj0MjqmqO5+Rw8boZKB4B4KVunJ3EqQn5nJ02w0A2g/wxaPh/T8rIYQQQhiXbDe+h6q8ZUQ8PHmFWiZuCyQgOBGlAhYPa8GIDt7lHk+v17P6wmq+vPIlAH29+/JR94+wNLG8Z3tNYiLR4yeQf+0aClNT3D9Zgm3//gbPtzshjWnBkRTo9DS1MmdLS388ze//dD4tPoe9qy+RlZKPhY0J/V9rgXsDe4PnFEIIUTVUh3uVX375BYChQ4eyefNm7Ozs7nxPq9USEBDAoUOHuHHjhkHjzZ49mxMnTtyzUnJJDh48yMiRIwkNDcXR0bHEdlqtlp49e/Lyyy9z7Ngx0tPT+fnnnw2epyp+HgU6HY+dvcnN3HyedXVgdROfSp1fq9Gx69PzJEVm4d7AniFTW6Os5LMQhRBCCFHM0HsVSRLeQ1W80RMVo0ir452frvDjuWgAZvZryJu96z9QFeBfbv/C+yffR6PT0MSxCasfXY2Llcs92+pyc4mZ+RbZhw8D4DRjOnVeecXg+c9n5PDS1TCSCotwMlXzTXM/2tndv/JxTkYB+z+/TFJkFkqlgh4jG9K8p0fZ3qQQQgijqg73KkplcUJIoVDwv7ebJiYm+Pr6smzZMgYOHGjQeE2bNuXxxx8nOjqao0eP4uHhwYQJE3j11VdL7DNhwgRu3rxJ+/bt+fbbb7GysmLw4MF88MEHWFhY3Gk3f/58Ll++zE8//cRLL71UapKwoKCAgoKCO19nZmbi5eVVpT6PT8PiWBaeQB0TNcc6NcbRRF2p8x/fEcKlgCjMrNSMfLcj1g7mlTq/EEIIIf6fnEkohAHUKiVLnm7Jm73rAbD095u8vfMyBaVs372fwfUGs7HfRhzMHAhKDeL5/c9zLeXaPdsqLS3xXL0Kh9EvApC0bDnx781Hr9EYNFc7Oyt+bdeQZtbmJBUWMeziLXYnpN23j5WdGU/NaEv9ds7odHqObrvBn9tuoC2SysdCCCEeHp1Oh06nw9vbm8TExDtf63Q6CgoKuHHjhsEJQoDQ0FDWrVtHgwYN+O233xg/fjyTJ09m8+bN9+1z/Phxrl69yk8//cRnn33Gzp07mTBhwp02x48fZ9OmTXz55ZcGx7J48WLs7OzuvLy8vAzuWxmCsvNYFZEIwKKGHpWeIAy/nMylgCgA+oxpKglCIYQQopqQlYT3UB2ezouHb8upcN7/5Ro6PbT3cWD9i+2oa21W7vGisqKYFDCJ2xm3MVeZs7jH4vtWPk799jsSFi8GnQ6rrl1xX7YUdSnnLP0jp0jLhKAIfkvOBGCajwtv+bmivM+KRL1eT+BvEfy9JxT04Fbfjv6vtcDSVg4UF0KIqq423quYmprSvn17Tp48eefa5MmTOXv2LKdOnbpnn379+nHs2DHi4+PvbHfevXs3zzzzDDk5ORQVFdGyZUvWrl3LE088AVDtVxJq9XoGng/hQlYuj9e15Zvmfg+0Q6KsstMK2P7hGfJzNLR81JMewxtW2txCCCGEuDdD7x0r97GiEFXY6C6++Nax4s1tgZyLSGPImhN8Obo9Td3Ld7PvZePFtwO+5a2jb3Ei9gTT/pzGlLZTGNd83D1v1h1fHIWJhwcxM2aQc/Ik4c88i+fqVZg3bVrqXFZqFV8192NRaByfRyayIiKBGzn5fNbEG9sSDilXKBS06+9LHQ9rDm26RtytDHYsPsuA8S1x8rYp13sWQggh7iUgIICAgIA7Kwr/W0mVhv+Xm5sbTf/nd2KTJk3YtWvXfft4eHjcdR5ikyZN0Ov1REdHk5OTQ3h4OIMGDbrz/X/iU6vV3Lhxg3r16v1rXDMzM8zMyv8gsSJtjE7iQlYuNiolHzf0rNQEoV6n549vrpGfo6GulzVdn6pfaXMLIYQQ4sHJdmMh/kvPhk78/GY3/OtaEZOex9PrTnLwany5x7MxtWFNnzU83/h5AFYGruTdE+9SqC28d/tHe+P7w/eYeHujiYkh/Lnnydizx6C5VAoF8+q581ljL0wUCg4kZ/D4uRtcy867bz/fFnV5ZnZ77F0syU4rYPen5wk5W/5qz0IIIcR/W7BgAf369SMgIIDk5GTS0tLuehmqW7du/ypycvPmTXx8Si7I0a1bN2JjY8nOzr6rj1KpxNPTk8aNG3PlyhUuXrx45zV48GB69+7NxYsXq9w24tJE5BXwcWjxfcv8+h64mVXu7oBLh6OIuZGO2lTJ4680R2Uif9UQQgghqhPZbnwPtXELj7hbRq6Gid8HciwkGYDpjzVk0qMPVtDkh+Af+PjMx2j1WprXac6yR5bhbu1+z7bajAxi3n6bnKN/AeDwwgu4zHobhalhN/uBmTm8ejWc/2vvPsPjqM6/j39n+0orrXqzZcm94N7BdAwOBocSahwgkJBmIKQ8fyChE2pCCSEhQAIECJhqikMzzRhs3I17L7LVZfWVtHWeF7KFhWQjS7K1sn+f65pLu2fOzJw9Y0u3bp0zJ98fxGUxuHdATy7NTD7gMf66IB/+ey15a3YDMHpKDhPO6YPFcvhGIIiISNt0p1glMzOTBx54gMsuu6xD51m8eDHHHXccd9xxBxdddBGLFi3i6quv5sknn2T69OkA3HTTTeTn5/Pcc88BUFtby+DBg5k4cSJ33HEHZWVl/PSnP+Wkk07a7zMI2zLd+Nui4X6YpslFX29hXkUtxyV4eH1k38M6inB3fi2v3LuYSMjk5OkDOeYELYomIiISLbRwiUgHeGPsPPPjcVw5KReAh+Zs5NqXllMfaP+CJpcMuoR/nPYP4h3xrN69motmX8S8XfNarWv1esl+/HFSZswAoOK//2XHFT8mWFzSpmuNjo9lzriBnJoUR0PE5Dfrd/Kb9XnUh/e/OIkzxs5ZM4YzekovAJZ9sIN3Hl1BXXXrox5FRETaIhAIcNxxx3X4POPGjWPWrFm89NJLDB06lLvuuotHHnmkKUEIUFhYSF5eXtN7j8fDnDlzqKysZOzYsUyfPp1p06bx6KOPdrg90eblonLmVdTishg8ODD7sCYIw8EIc55eSyRkkjssmSHHt/5HUBEREYluGknYimj4a7BEj5cW5XHLm6sJRUyG9fDy5OVjyPS6232+/Np8fvfZ75pWPP7Z8J/xqxG/wmpp/dmBNZ9+SsH/3UCkpgZrago9H3mEmDFj2nStiGny6I5iHthWRAQ4xuPiX8f0pnfMgZ+jtHFxEZ8+v55QIEJMvIPTrxpCz0FJB/U5RUTk0OlOscoNN9yAx+Phlltu6eqmHDJdfT92B0KcsGgd5cEwN/fJ5Jqc9MN6/flvbGb5h3m4PHYuvXWCFkETERGJMm2NVZQkbEVXB3oSfRZu3c0v/7uMcl+A5FgHD188khMHpLb7fIFwgAcWP8DLG14GYGLmRO4/8X6SXK0n4gLbt7Pr2uvwb9oENhvpN95I4vQftnmUwLzyGn6xdge7gyHirBb+OrgXU1MTDnhMeYGPD/61mvICHxgwdmou487qrenHIiJRoDvFKr/+9a957rnnGD58OMOHD8dutzfb/9BDD3VRyzpPV9+P69flMbOonMGxLj4cOxD7YfxZnb+xgjcfXg4mnPmLYfQZ2f74SERERA4NJQk7oKsDPYlOO8vr+PnzS1lbWI1hwDWn9OP6yQOwdiAQn711NncuuJP6UD1pMWk8eNKDjEwb2WrdiM9H4S23UP3uewDETZlC5p13YN1nxcYDKfQH+PmaHSyq8gHwi+xU/tAnE4dl/08dCAbCzHt5I+u+LASgx4AETv/JMcR6o3NFRxGRo0V3ilVOOeWU/e4zDINPPvnkMLbm0OjK+7Ggspbzlm8G4J3R/RnnjT1s1/bXh5h510Jqy/0MnpTJqZcNPmzXFhERkbZTkrADulPgLYdXQzDMnbPX8uLCxucdTeyTxKOXjCIt3tXuc26u2MxvPvsN26u3YzNs/Hbsb/nR4B+1OkrQNE3Kn/0PJQ8+CKEQtsxMevz5AWLGjm3TtYIRkz9tLeCJnaUADPO4eWxIDgNjD9z+DQuL+OzFDYT8Ydxxdk6/8hiyh2j6sYhIV1GsEl266n4EIhFOW7yBTXV+LstK5s8DD+9qzB89u5YNXxURn+Li4pvH43DZDuv1RUREpG20cInIIeCyW7nnvGH89ZKRxDqsfLW1nKmPfsGXm8vafc5+if2YefZMvpf7PUJmiAcWP8BvP/stlQ2VLeoahkHylT8m96WXsOf0IlRYyI7Lr6D00UcxQ6HvvJbdYnBHvx48MzSXJLuVVbX1TFmygX/tKiVygL8XDJyQwUU3jSW5h4f6miBv/20FX721hcgBFkIRERGRQ+ufO0vZVOcn2W7jD30yD+u1Ny8tYcNXRRgGTP7xECUIRUREjgAaSdgK/XVe2mJLaS0z/ruM9UU1GAb8+rT+XHtq/3ZPPzZNkxfXv8hflvyFUCREqjuVP036E8f1aH1FyIjPR9Hd91D1xhsAuEeOJOsvf8bRs2ebrlfsD3L9+jw+La8B4KTEOB4ZnE2mc/8PGw8Fwnzx6ibWzCsAILOvl9N+PARvavsXchERkYPXHWKV888/v0313tjzc6w764r7saPez0mL1tMQMXlscC8uyDh8I/x9VX5eunMhfl+IMd/LYeK5fQ/btUVEROTgaSShyCHWN9XDmzMmccm4bEwTHvloE5c/vZDSGn+7zmcYBtMHT+eFM18gNz6X0vpSfv7Rz7l34b00hBpa1LfExpJ1z91kPfgXLB4P9StWsO3c86ia/b82XS/daefF4X24p38PXBaDuRU1nLJoA2+XVO73GJvDysnTB3HGT4/B7rJSuKWKmX9axOrP89HfG0REZF9er7dNmxw80zS5ceMuGiImxyd4+EF64mG99ifPrcPvC5HaK45xZ/c+bNcWERGRQ0sjCVvRHf46L9Fl1vJd/OGN1dQHw6R4nDxwwTBOHZTe7vPVh+p5aMlDzNwwE4A+3j7ce8K9DEke0mr9wK58Cv7f/6N++XIAvOecQ/ott2D1tO3h5Zt8DcxYt4OVNfUAXJCeyD0DehJvs+73mOqyej7+zzoKNlUC0GtIEqdcNhhPohY1ERE51BSrRJfDfT/eLqnkZ2u24zAMPhk/kH4x7X828sFa9dkuPp+5EavdwkU3jSMp6/AtlCIiIiLto5GEIofReaN68s61kxiQ7qGs1s9Vzy7hxtdXUuv/7ucEtsZtc/PHiX/k8cmPk+JOYWvVVqa/O51/rfoX4Ui4RX1Hzx7kPP8cKTNmgMVC1Vtvse2cc/DNn9+m6/WPdTF7dH+uz0nHArxWXMGpi9fzRUXNfo+JT3Fz7m9GMemCflhtFvLWljPzroVsWFikUYUiIiKHSE0ozC2bdgFwbU7aYU0QVhbXMf/1xpWUjz2vrxKEIiIiRxglCUU6Sb+0ON6+5nh+enxvDANmLt7J9x75nK+27m73OY/vcTxvfP8NJveaTCgS4q/L/spVH1zFrppdLeoaNhup115DzvPPYc/KIpifT95VP6Hg5psJV1d/57UcFgs39snkzVH96OVysKshyAUrtvCb9XlUBltPdhoWg5GTe3HRH8eRlhOHvy7ER8+s5f0nV1NfE2j35xYREZHW3be1kOJAiD5uJ9f2av+shYMViTROMw4FI/QclMjwk9v2DGQRERHpPpQkFOlELruVm88ewktXT6RnoptdFfVc+tRX/Gn2WhqCLUcAtkWiK5GHTn6IuybdRYwthmUly7jgnQt4ef3LRMyWqwvHjBlDn3feJnH6dACqXnudrWdPo+bTT9t0vfEJHj4ZN5Af90gB4KXCck5YtJ63Syr3O0IwKTOWH/zfGCZ8vzcWi8HW5aW8dOdCtq4obddnFhERkZZWVNfxTH4ZAPcN6InLevhC+VWf7qJwSxV2p5VTLhuE0c6F2kRERCR66ZmErdBzfqQz1PpD/Gn2WmYu3glAvzQPD100guE9E9p9zp01O/njF39keUnjswdHpY3itmNvo29C66sK1i1ZQuEfbyawYwcA8dOmkf6Hm7Altu0B5wsra/n9hp1sqmtcjGVKSjz39u9Jlmv/KyCX5tXw0bNrKS/wAdB3dBonXNSf2AQ9q1BEpLMoVokuh+N+hE2TM5duZGVNPeenJ/KPITmH5DqtqSyp4+W7FhEKRjjphwMZemKPw3ZtERER6bi2xipKErZCgbd0pk/WF3PD66sorfFjtRhcc0o/rjm1H/Z2/vU/HAkzc8NM/rrsr9SH6rFZbFw97Gp+OuynOKwtk3eRhgZK//Y3yp95FiIRrElJZNx6C3FTpmAY3z0KwB+J8NcdxfxtRwlB08RjtfDHvllckZWMZT/Hh4MRFs3eyvI5OzEjJg6XlQnn9GXoST2waOSBiEiHKVaJLofjfvxrVyk3b8rHa7PyxYRBpDrsh+Q632ZGTGY9tIzCzVX0GJjIOdePbFP8ICIiItFDScIOUOAtna3CF+Dmt1bzv5WFAAzKiOPu84YyJiep3ecsrC3k7oV3M3fXXAB6e3tz+7G3Mzp9dKv161eupPCPf8S/qfGB43GnTyb9D3/AnpnZpuutq63ndxt2sqy6DoDx3lj+PDCbgbH7f2B66c4aPvvvBkq2Nz4TMS0njpOnDyK1V1ybP6eIiLSkWCW6HOr7URkMMXbBWmrDER4Y0JPL9zwS5HBY+elO5r28CZvTyqW3jCc+xX3Yri0iIiKdQ0nCDlDgLYfK218XcNtbq6moCwJw6fhe3Pi9QXhj2jcawDRNPtjxAfctvI/dDY0LpFw44EKuH3M98Y6W/3YjgQC7//kEZU8+CaEQhttNys9/TtJVV2Jx7H8K8V5h0+SZ/DLu2VpIXTiCzYCf9kzlt7kZxNusrR4TiZis+Tyfr97cQqAhjGHA8FOyGf/93jhctnZ9bhGRo51ilehyOO7HZ+XVvFJUwWODe+13JH9nqyqtZ+ZdCwkFIpx4yQCGabESERGRbklJwg5Q4C2HUrkvwH3vreOVJY0rFKd4HNx81hDOGZnV7uk7Vf4qHl76MK9veh2AVHcq/zfu/5iS2/qU4oYNGyi66y7qlywFwJ7Ti4w//AHPSSe16Xq7GgLctHEXc3Y3jhBMsdv4Q99MLslI2u8vLr4qP1+8uonNS0oA8CQ6OeGiAfQemaJpSyIiB0mxSnQ5Eu+HGTF565Hl5G+spMeABM65fpQWKxEREemmlCTsgCMx0JPos3Drbv745mo2l9QCcHy/FO46dyi9U2Lbfc7FRYu5c8GdbK/eDsDotNHcOP5GBicPblHXNE2qZ/+PkgceIFTauAqx55RTSL/pRhy9erXpeh/vrubWTflsqW9c2GREnJu7+/dkrHf/nyFvzW7mvrSB6rIGAHodk8ykC/qRlNn+zy0icrRRrBJdjsT7seqzXXw+cyM2h4VLbpmAN1XTjEVERLorJQk74EgM9CQ6BUIRnpq3lUc/3oQ/FMFhszDj5H784uQ+OPczffe7+MN+nl79NE+vepqGcAMGBuf3P59rRl1DirvlM4zCtT7KHv8H5f95rnEKssNB8k9/QvLVV2Nxf/cvBIFIhH/vKuPB7UXUhiMAXJCeyM19s8hwtj6NOhQIs+Td7Syfk0ckbGJYDIaekMW4ab1xe7572rOIyNFOsUp0OdLuR3VZPS/dtYiQP8wJF/dn+CnZXd0kERER6QAlCTvgSAv0JPrt2O3j5jdXM29TGQC5yTHcNHUwZwxJb/dU3CJfEQ8vfZh3t70LQKw9ll8M/wXTB0/Hbm2ZvPNv3Urxn+7GN38+ALasTNJ+9zvizzwTw/LdKzGXBoLcs7WQlwrLAYixWvhNTjpX90zFtZ+VnCuKfMx/YwvbVzZ+bofbxrizchl2ck+stvat/iwicjRQrBJdjqT7YZombz2ygvwNFWT283Leb0drmrGIiEg319ZYJSp+C//73/9Obm4uLpeLCRMmsGjRogPWf/XVVxk0aBAul4thw4bx7rvvNtv/xhtvcMYZZ5CcnIxhGKxYseIQtl6k43KSY3nuqvH87dJRpMY52b67jp8/v5RLnvyK1flV7TpnRmwG9594P8+f+TzHJB+DL+jjwaUPcu5b5/LZzs/49t8HnH36kP3vf9Hjb49iy8okVFBIwe9+z/YLLmxKHB5IqsPOw4N68d6YAYyJj6EuHOHurYUct3Ad/y3YTSjS8u8RiRmxnPWr4Xz/+pEk9/QQqA/x5WubefGOhWxdXtqijSIiInJorZlXQP6GCmx2C6dePlgJQhERkaNIlycJX375ZX77299y2223sWzZMkaMGMGUKVMoKSlptf78+fO59NJL+clPfsLy5cs599xzOffcc1m9enVTHZ/Px/HHH8/9999/uD6GSIcZhsG0EVl8+vuTueaUfjhtFhZuK2faY1/w21dWUFhV367zjkwbyYtnvchdk+4ixZ1CXk0e135yLT+b8zPW7F7Tog3xp59O3//9j9RfX4clNpaGtWvJu+on5F31E+rXrNnPVb4xKj6Gd0b352+De9HDaafAH+R3G3Zy8uL1vF1SSaSVxF/2oCQu+sM4TrlsEO54B9Wl9bz3xCrefGg5pXk17frcIiIicnCqd9cz//XNAEw8ty8JaTFd3CIRERE5nLp8uvGECRMYN24cjz32GACRSITs7GyuvfZabrzxxhb1L774Ynw+H7Nnz24qmzhxIiNHjuSf//xns7rbt2+nd+/eLF++nJEjR7a5TUfSlBHpvvIr6/nz++t5c0UBAC67hZ+d2Jefn9iHWKetXef0BX08tfIpnlv7HMFIEIDJvSYzY+QM+iX2a1E/VF5O2T//ScVLMyHYWD/+rLNIvf7XOLK/+/lEDeEIzxWU8ciOYsqDYQCGe9zc1CeTk5PiWp1KHWgIseyDHaz4aCfhYOMzDvuOTmP8tN5a3EREZA/FKtHlSLgfpmky+7GvyVtTTmZfL+f9TtOMRUREjhTdYrpxIBBg6dKlTJ48uanMYrEwefJkFixY0OoxCxYsaFYfYMqUKfut3xZ+v5/q6upmm0hX65Hg5pFLRvHmjEmMzUmkIRjh0Y83ccpfPuOVxTsJtzJ997vE2mO5fsz1vHXuW0zrMw0Dg4/yPuL8t8/npnk3kVed16y+LSmJjD/8gb7vvUv8tGkAVP/vf2yZehZFf7qb0O7dB7yey2rhZ9lpLJo4hN/nZuCxWlhZW8+lK7fygxVbWFrla3GMw2Vj4jl9mX7HRPqPSwdgy7ISZt65kDnPrKGypO6gP7eIiIgc2KYlxeStKcdqs3DKZYOUIBQRETkKdWmSsKysjHA4THp6erPy9PR0ioqKWj2mqKjooOq3xb333ovX623astswQkrkcBmZncCrvziWx6ePpldSDCU1fv7v9ZWc/vBc3lqR365kYXZcNveccA+zzpnF6TmnY2Iye+tsvv/m97l9/u0U+Zr/f3L07EmPPz9A7zdeJ/b44yEYpOKFF9g8+XSK73+AUGnpAa/nsVn5fe8Mvpo4hJ/3TMVpMZhfWctZyzbxo5VbWdJKsjAuycUZPzmGi28eT+8RKZgmbFxYzIu3L+ST59dRvbt9069FRESkuQZfkC9e2QTA2Kk5JGZo5L6IiMjRqMufSRgNbrrpJqqqqpq2nTt3dnWTRJoxDIMzh2Uy57cn8sepg0mIsbO11MevZ65gyiOfM3tlAZF2JAv7JvTloZMfYubZMzm+x/GEzTCvb3qds944i/sX3U9ZfVmz+q4hQ+j1r6fo9czTuIYOxayvp/yZZ9g8+XSK/nQ3we9I1qc4bNzRvwfzJwzmh5lJWICPdldz9rJN/GD5Zj4vr2mxWElKTw9TfzmcC28aS87QZMyIybovC/nvrV8x98UN1Fb4D/pzi4iIyDfmv76Z+pogiZmxjDojp6ubIyIiIl2kS5OEKSkpWK1WiouLm5UXFxeTkZHR6jEZGRkHVb8tnE4n8fHxzTaRaOS0Wbn6xD7M+79T+P0ZA4h32dhcUss1Ly7nzL/O4/3Vhe1KFh6TfAyPT36c5858jrHpYwlEAryw7gWmvDaFOxfcyc7q5onz2GOPJffVV8h+4p+4R4zA9PupeOEFtpx+BoW33U5gV/4Br9fD5eChQb34Yk+y0G4YfFlZy0Vfb2Hq0k28X1rVYoGTtJx4zr5mBD/4vzH0HJRIJGyy+vN8XrhlAXNf2kBVqUYWioiIHKz8DRWsm18IwCnTB2K1aQyBiIjI0SoqFi4ZP348f/vb34DGhUt69erFNddcs9+FS+rq6njnnXeayo477jiGDx+uhUvkqFPdEOTpL7bx73nbqPGHABiSGc9vTh/A5MFprS4M8l1M0+Srwq/4x4p/sKJ0BQAWw8KUnCn8ZNhPGJg0sEX9ugULKPvH49QtWdJYaLPh/f73Sfn5z3DkfPeIhPyGAI/vLOG/Bbup35PkHBTr4rqcdL6fmoCtleci5W+sYOHbWyncXAWAYUC/MWmMOiOH1F5xB/25RUS6E8Uq0aW73o9QMMzLf1pMZXEdx5zYg5N/OPC7DxIREZFup62xSpcnCV9++WWuuOIKnnjiCcaPH88jjzzCK6+8wvr160lPT+fyyy+nR48e3HvvvQDMnz+fk046ifvuu4+zzjqLmTNncs8997Bs2TKGDh0KQHl5OXl5eRQUFDTVGThwIBkZGW0acdhdAz05elXVBfn3F1t5+svt1O5JFg7OjOdnJ/bm7OFZ2K0HPyrANE2WlSzjX6v+xRf5XzSVn9DjBH4y7CeMSR/T4pi6xYspe/xxfPP3LCRksRB32mkk/fgK3KNHf2fSsjQQ5KmdpTyTX0ZNuHFl4xyXg5/2TOWSzCTibNYWbczfWMnyD3aQt7a8qTx7cCKjzsih56DEdiVKRUSinWKV6NJd78fCt7ey5N3txHgd/PC2CThj7F3dJBERETkEuk2SEOCxxx7jz3/+M0VFRYwcOZJHH32UCRMmAHDyySeTm5vLs88+21T/1Vdf5eabb2b79u3079+fBx54gKlTpzbtf/bZZ7nyyitbXOe2227j9ttv/872dNdAT6TCF+CpeVt5dv526gJhALK8Lq46vjeXjO+Fx2lr13nXl6/n6VVP88GOD4iYjcm7UWmjuPKYKzmx54lYLc2Td/UrVlD6+OP45n7eVOYaOpSkK64g/ntTMOwH/iWkKhjimfwyntxVSnmw8XPEWi1ckpHET3qm0ifG2eKYsl01LPsgj81LSzD3jEZM7RXHqDN60XdUKpZ2JEpFRKKVYpXo0h3vR3mBj5fvXkQkbPK9nw2l7+i0rm6SiIiIHCLdKkkYbbpjoCeyr8q6AC98tYNn5++grLZxYY84l43pE3K4clIu6fGudp03rzqPZ9Y8w1ub3yIYCQLQw9ODSwddyrn9zsXr9Dar37BxIxXPP0/VW29jBgIA2NLTSZw+ncSLLsSakHDA6/nCYV4rquBfu0rZVNf4OQzgtOR4ftozhZMS41qMFKwuq2fFxztZ90UBoWBjQjMu2cXQk3ow5LgsXB6NkhCR7k+xSnTpbvfDjJjMenAZhVuqyB2ewtRfDtPIexERkSOYkoQd0N0CPZH9aQiGmbU8n6fmbWVrqQ8Au9Xg3JE9uPrEPgxIb9+z+0rrSnl+3fO8vvF1qgPVALisLs7qcxaXDrq0xXMLQ+XlVMycScWLLxEua1wx2XC58J57Dkk/+hHOfv0OeD3TNPm8opandpXy0e7qpvL+MU5+2jOVC9ITif3WVOT62gCrPstn1ae7aPA1JjStdgv9x6Yx7OSepOXo/7aIdF+KVaJLd7sfqz/PZ+6LG7A7rVx62wTiktr3x0MRERHpHpQk7IDuFuiJfJdIxOSjdcU8+flWluyoaCqf2CeJH03M4YwhGTjasZphfaied7e+y4vrX2Rjxcam8jHpY/jhoB9yaq9TsVm+meIcCQSofvddyv/zHP5165rK3aNHk3DhhcR/bwoWt/uA19xa5+ffu0qZWVSOb89zC2OtFs5LS+SHWUmMiotpNhoiGAizaXExq+fmU5pX01Se3jueYSf1oO+YNGx2a4vriIhEM8Uq0aU73Q9fpZ8Xb/+KQEOY4y/qz4hTs7u6SSIiInKIKUnYAd0p0BM5WEt3VPDk51uYs7aYPY/uI8Xj5JJx2VwyPpueiTEHfc69i5y8uO5FPs77mLDZ+BzBtJg0zut3Huf0O4fsuOxm9esWL6bi+eep+eRTCDfWt8TF4Z02jYSLLsQ1aNABr1kdCvNyYTlP55eyrT7QVD441sX0rGR+kJ5Iov2bBKVpmhRvq2bVZ7vYvKyESKjxw7s8doZMymLwpEwS0g7+s4uIdAXFKtGlO92P959cxZZlpaTlxPGDG8ZisWiasYiIyJFOScIO6E6Bnkh75VfWM3NRHjMX76S0pvF5fxYDThmYxo8m5nDigFSs7fjFodhXzCsbX+G1ja9R3vDNisPjMsZxXr/zmJwzGbftm9GCwZISqt6YReVrrxHctaup3DV8OAkXXoB36lQssbH7vZ5pmiyo9PFi4W5ml1bSsCfz6bQYTE3xMj0rmeMSPFj2GV1YVx1g7ZcFrPk8n9oKf1N5Zj8vg4/LpO/oNByu9i3yIiJyOChWiS7d5X5sW1nGu/9YiWExuOgPY0np2b7HjoiIiEj3oiRhB3SXQE+kMwTDEeasLeaFr3Ywf8vupvKeiW4uHJPN+aN7kJ108CPsAuEAn+R9wpub32R+wXxMGr/VxNpj+V7u9ziv/3kMTxneNDXYjETwLVhA5auvUfPxxxBsfI6gERND3OTT8E77PrHHTsSw7T95VxkM8UZxBf8t3M2a2oam8myXg/PTEzkvPYFBsd8kKCPhCNtX7mbNF/nsXFvO3u+GNqeVfqNSGXRsJln9EzA0ykJEooxilejSHe5HoCHES3cspLbCz+gpvTj2vAM/D1hERESOHEoSdkB3CPREDoUtpbW8uDCP15buoqo+2FQ+oXcSPxjdkzOHZRDnOvjVgYt8Rby95W1mbZrFrtpvRgv29vbm+32/z5TcKc2mI4d276bqzTepfOVVAjt2NJVbk5OJnzoV77SzcQ3b/0qMpmmysrae/xbsZlZxBTV7nl0IMCTWxXnpiZybnki2y9FUXlvhZ8PCQtYvKKKyuK6pPD7FxcCJmQyckIE39cDPSxQROVwUq0SX7nA/5r+xmeUf5hGf4uKSWydgd+h5vCIiIkcLJQk7oDsEeiKHUkMwzLurCnljWT5fbilrGmHnslv43jEZnD+6J5P6pRz0dOSIGWFp8VLe3Pwmc3bMoT5U37RvWMowpuROYUruFDJiM4DGZF/98hVUz36H6vfeJ1zxzaIrjpwc4s8+G++0s3Hk5u73mnXhCB+WVTGrpIJPdtcQ3Odb3gRvLOelJzItNYFkh63pmkVbq1m/oJBNS4oJNoSb6qflxNFvTDr9xqZpJUgR6VKKVaJLtN+P8gIfL/9pEZGIyVm/Gk7u8JSubpKIiIgcRkoSdkC0B3oih1NBZT2zlufz+rJdbC31NZVnxLs4Z2QWU4dlMrynd7+j+vanNlDLhzs+5L1t77GoaBER85vRfqPTRvO93t/j9JzTSXE3/iJjBoPUfvkl1e/MpubjjzEbvplO7BwymPjTTyfu9NNx9O2737ZUBEP8r7SKN4orWFBZy95vflYDjkvwcGaKlzNTvWQ6G0cYBgNhti4vZf2CQvI3VLDvd8uMPvGNCcMxacQmOA/qs4uIdJRilegSzffDNE3eeng5+RsryR2ewlm/Gt7VTRIREZHDTEnCDojmQE+kq5imyde7qnh96S7e/rqg2XTkHglupg7LYOqwTEZmJxx0wrCsvoyPdnzEe9veY1nJsqZyi2FhXPo4Tul1Cqdkn0KWJwuAiM9HzccfU/XObHzz5zetjgzg6N2buD0JQ9fQY/bbloKGAG+VVDKruIKVtfXN9o2Ki2FqqpepqV76xjSOGKyrDrBlWQmbl5ZQsLmSpgyjAVn9Eug3Jo3eI1LwJGqEoYgceopVoks034+Ni4qY8/RabHYLl942gfgUPTpDRETkaKMkYQdEc6AnEg38oTCfri9l9soCPllfQl3gmyRdltfFmcMymTosk1HZCVgOckpyka+ID7d/yPvb32dV2apm+wYmDuSUXqdwcvbJDEkagmEYhCoqqP3kE2o+nINv/nzM4DfJS1tmJnGTJxN32mnEjBmNYW/9eYrb6vy8W1bFe6WVLKmua7ZvQIyLqalezkiJZ0RcDFbDwFfpZ/OyEjYvKaFoa1Wz+qm94sgdnkLv4SmkZHsOOmEqItIWilWiS7Tej0B9iP/e9hV11QEmfL8PY6fmdnWTREREpAsoSdgB0RroiUSj+kCYuRtLeHdVER+vK8a3T8Iw0+vitMFpnDYonWP7JuOyH9xD0nfW7OSTvE/4dOenLC9Z3mxKclpMGqdkN44wHJsxFqfVSbi2Ft/nn1M9Zw61cz/HrPsm4WeJjSX2uGOJPeEEPCeeiD0jo9VrFvuDvF9WxXulVXxRWUNon++QSXYrJyfFc2pSHCclxZHqsFNT3sDmpSVsW1FK4daqb0YYAp5EJ72Hp5A7IoUeAxKx2iwH9flFRPZHsUp0idb78cUrm/j6k51409xcessErHb9HBIRETkaKUnYAdEa6IlEu4ZgmLkbS3l3VSEfryuh1h9q2ueyWzi+XwqnDkrn1EFpZHgPblpuRUMFn+/6nM92fsaXBV82W/TEZXUxJmMMk7ImcVzWcfTx9sH0+/HNX0DNnDnUfv454d27m53POWAAnhNPIPaEE4kZParVUYZVwRAf7a7mvbIq5pbXNFslGWBEnJtTk+I5NTmeUXExBGqD7Fhdxravy9i5rpxQ4Jv6dpeV7EFJZA9JoteQJE33EpEOUawSXaLxfpTtquWVexZjRkymXTeCXkOSu7pJIiIi0kWUJOyAaAz0RLqbhmCY+VvK+GR9CZ+sK6GgqqHZ/iGZ8Zw2OI2TBqQyIjsBu7Xtoxv8YT8LCxfy6c5PmbtzLqX1pc32p8ekc1zWcRyXdRwTMyfidcTTsGYttfM+x/f5POq//pp9VyGxxMYSM24cMRMnEDthAs6BAzEszdsTjJgsrfbxye5qPi2vYdW3nmPotVmZmBDL8QlxTEr00M9up2BDJdtWlrF9ZRl11YHm9VPdTQnDHgMScbhtbf78IiKKVaJLtN0PM2Iy68FlFG6pou/oVL73s2Fd3SQRERHpQkoSdkC0BXoi3Z1pmqwvquGT9SV8vK6Y5Tsrm60UHOuwMrFPMpP6pTCpXwoD0tv+LD/TNNlUuYkFBQuYXzCfpcVL8Yf9TfsNDAYnD2Zs+ljGpo9ldPpoYusi+L6cT+3nc/HN+4JwRUWzc1q9XmLGj29MGk6ciKNPnxbtKfYH+ay8hk/Kq5lbXkNlKNxsf5LdynEJHiYlxnFcfCzesgC71pWTt7ac4q3VRCL7JCktBul94skenESPAQmk5cZjO8ip2SJydFGsEl2i7X6sm1/IJ8+tw+a0Mv32CVpUS0RE5CinJGEHRFugJ3Kk2V3rZ+7GUj5eX8L8zWVU1AWb7U+Nc3Jc32+Shj0S2j41tyHUwLLiZcwvmM+XBV+yuXJzs/0GBgMSBzA2Yyxj0scwOnUUMVuLqVu4EN/Cr6hfspRIXfPFS6ypKcSMHUvMqFG4R43GNWhgs+nJoYjJqtp6vqioYX5lLQurfNR9a2pymsPGBK+Hcd4YRrpcJOY3ULCugp1ry6kqbT4q0WqzkN47nqz+CWQNSCCjjxe7Q0lDEfmGYpXoEk33o8EX5MXbv6K+Jsix5/dl9Bk5XdoeERER6XpKEnZANAV6Ike6SMRkbWE1X24u48stu1m0bTcNweYJth4JbsbmJjIuN4lxuUn0T/O0edXkkroSFhctZknxEpYWL2Vb1bYWdfp6+zIybSTDU4czLGEImTt9NCxajG/hQuqXLcf0+5vVN9xu3MOG4R49qjFxOHIkVq+3aX8wYrKipo4vK2r4srKWxVU+GiLNv9W6LQYj4mIY741lCHZSdzVQu7GK/E2V1H9rarLFapCWE0/WgAQy+3hJ7x2PO87Rps8vIkcmxSrRJZrux9wXN7D683wSM2O5+OZxWA/icR4iIiJyZFKSsAOiKdATOdr4Q2GW7ajky81lfLG5jFX5VYS/lWDzuu2MzUlkXO8kxuUmckyWt80rJ5fVl7G0eClLipawpHhJi5GGAB67h6EpQ5uShv0LwLlqE3XLllG/4msi1dUtjnH064t76DBcQ4fiHjYU56BBWJzOxs8UibCsuo7FVT4WV/lYUuWj4lvTkwH6up2MiHMzwLCRWRYiZnMtuzdW4av0t6jrTXWT3ieejN5eMvp4SeoRq18ERY4iilWiS7Tcj5Id1bx63xIw4dzfjKLHwMQua4uIiIhEDyUJOyBaAj0RAZ8/xPK8ShZvL2fJjnKW7aikPtg8wWa3GgzKiGdEtpcRPRMYmZ1An1QP1jaMNqxoqGB5yXJWla3i69KvWV22utnKyXv18PRgSPIQBiUOon8ggZytPlwrNlG/bBmBHTtanthmwzmgP+5jhuIaNhT30KE4+/XDcDgwTZPNdX4WV3+TNNxU1zIRaAEGxLoYYnfQsyZCcn4Dzk21+ArqWl7ObiE1J4703HhSe8WR2iuOhLQYjDaOuBSR7kWxSnSJhvsRiZi8fv8SSnbU0H9cOmf85JguaYeIiIhEHyUJOyAaAj0RaV0wHGFtQTWLt5ezeHs5S3dUUFYbaFEv1mFlWE8vI7ITGN4jgSFZ8eQkxXznNOVQJMSWyi18Xfo1K0tX8nXp12yv3t5q3bSYNIYkDWFgTC69y2303ObDu2o7gVVrCJeXtzzAbsfZpw/OgQNwDRyEc9BAXAMHYktJYXcgxNc1dXxdU8eKmjq+rq6nKBBscQoLkOty0Nu0klkTIaHAj2tzDa7dQb79yexOKynZHlKz45oSh4kZMVg04lCk21OsEl2i4X6smZfPZ//dgMNl5Yd3TCTW6+ySdoiIiEj0UZKwA6Ih0BORtjFNk/zKer7eWcXXuypZsbOS1flV1AVaTueNcVgZnBnPkMx4hmQ1fh2YEfedU5Wr/FWsL1/Put3rWFu+lnW717GjegcmLb99um1u+iX0o6+jBzm1TrJ3+slcU4Rz+cZWpykDWFNScA0ciHPAAJz9+uLs2xdH376UOlyNScPquj0JxHp2B0OtniPeYiHXtJLpM0ko8ePOqyexPEis32yWPLTaLCRmxpDcw0NyloekHrEkZ3mITXC0eUVpEel6ilWiS1ffjwZfkP/e9hUNtUGOv7A/I07LPuxtEBERkeilJGEHdHWgJyIdE46YbC6p5eudlSzfWcnagirWF9XgD0Va1LUY0CfVw8D0OPqleRiQHseAdA+5KbHYDzDizhf0saF8A+vK17Fu9zo2VGxgS+UWgpGWo/8AklxJ9HH3JDsQR1YFZOT5SFtTiHddAZb9fBu2paXh7NcXR99+OPv2wdGnLzU9erLOGcPaOj9ra+tZU1vP5roGQvv5Th6HQY+gQXJVmLjCBhLLQyTXhPHWRbDsc4wzxrYncRhLYmYsiRkxJGbEEuNV8lAkGilWiS5dfT/mvbKRlZ/sIjEjhotvGa9n1IqIiEgzShJ2QFcHeiLS+ULhCNvKfKwtrGZtQTVrC6tZU1BNua/lVGUAm8Wgd0osA/YkD/uleeidEktuSiwep631a0RC5FXnsalyE5sq9myVm9hVs6vVUYcATouTXo50egY8ZFUYpBXWkbKpjNRtFXh9tJhCDGCJicGem4Mjp3Gz9OpFUVom65PTWGd3sbHOz6a6BnbUB/ZzVbCZkBKEpJowcbuDJFWHSa4Jk1QbIa7+mwSi3WUlMb0xYZiQEUNiRgwJ6TF4U9zYHG1bLEZEOp9ilejSlfejvMDHzD8twoyYfP+6kWQPSTqs1xcREZHopyRhByjwFjk6mKZJSY2ftYXVbCquYVNxLRtLatlcXIOvlenKe6XGOemdEkvv5Fh6p8aSmxxL75RYspPcxDhaJhDrgnVsq9rG1qqtbKvaxvbq7Wyr2saO6h37HXkI4LY4ySKBzDonabtDpO6sJTmvkrSKCCnV4Ghl5rElNhZ7z57Ye/bEkpVFZVo6BclpbEpIZmVcAmsjFnY0+PFH9v+t32pCYn2E+OowCb4wCbUREnyRxte+CDF7pjDHJjjxprobtzQ38SluEtJiiE9143S3nkgVkc6hWCW6dNX9ME2Tdx5dwc51FfQekcLUXw4/bNcWERGR7kNJwg5Q4C1ydDNNk4Kqhm8Sh8U1bCvzsa3Mx+79jDzcK8XjJDvJTXZiDL2SYhpfJ8WQnRhDpteFbZ8pYOFImILaArZVb2tKGubV5LGrZheFvkIiZsvp0ftKNGNI8ztJq4bkkgaS832kVJskV5sk1UBcfcuRiNbERGwZGYTS06lNSaU0MZld3iQ2xyewJjaelS4PDZYDjxC0h0zi6yJ46yLE14X3eR1peu1x2ohLdhGX5Gr6Gp/sbnrtjLVpGrNIByhWiS5ddT+2rijlvX+uwmIz+OFtE/Cmxhy2a4uIiEj3oSRhByjwFpH9qaoPsr3Mx/bdPraWNn7dVuZje5mP6obWFxXZy2JAeryLrAT3ns1FjwQ3Wd7G95leFwkxdgzDIBgOkl+bz86anU2Jw7yaPApqCyioLaAuVPedbbWbFlL8TpJrIbE8QNLuIEk1Jom1kFBrkuiDhFpw7ttsiwUjOZlgcgq+pCQqEpIojk9gZ5yXLTHxbIqNozw+gaq4eCKW/T/zyhWI4KmPEFdvEle/53XDN2UJEUh3OUjyOvEkOIlNdOJJdO3z2okr1q5Eosh+KFaJLl1xP0LBMC/dsZDqsgZGfy+HY8/te1iuKyIiIt1PW2MVzQcTETkIXredEdkJjMhOaLGvqi7Izoo6dpbXsbOijrzyOnaW17OzvI5dFfUEwhEKqxoorGpg6Y6KVs/vtFlIj3eRHu8kPd5FRnwy6fE9GOx1cUqqi9Q4J8mxdiJGHQW+AgprC8mvzafQ1/i1yFdEcV0x5Q3lBI0Iha56Cl1ACkDrSb2YoIXEOoOEqjDe2ggJtbvx1pXhrYX4EkiqM+ntg7PrwLVndrRpGIS9XuoTEqmOT6A8Lp5iTzw7Y+Mo9sRT5YmjyhNPpSeO4ow46lxuaCXh5wiaxDbU42nwEbvdJNYfIbYhgqfBJDZokmSzkuy0k+a2k+5x4vE6ifU6ifE6iIl34I5z4I6zY/uOFapFRI40X3+8k+qyBmK9DsZ8L6ermyMiIiJHACUJRUQ6iTfGjjfGy9Ae3hb7IhGTMp+fgsoGCirrKaisJ3+fr/kV9VTUBfGHIuSVNyYYD8Rlt5Aa5yTF4yLVM4SUuFH09jgZl+IgKdZJvNsAWy1BKqiPlFJaX0JxXTHFdcWU1ZdRWldKWX0ZDeEG6uwR6ryQ74X9JRL3cgYhvs7EUwfx9dV46quJq9/ROGKwDAbkwZh6iG0wiW0ATwPE+MG02qiPi6c6Lp6KWA+73R4qY2OpifFQHeuhJjaW6tg4qmM87E6KpSamcV/Abt+TXDTBrCfGX4d7t0lsfgR3wMQdiOD2m3gi4LVaSbRZSXLYSXbZSI5xkBLrICHW3phM9Dhweey4PHbsWnRFRLqx2go/S97bAcCx5/fD4VJILyIiIh2niEJE5DCwWAzS4lykxbkY2cooRICGYJiSaj/FNQ0UVTVQXN24FVX7m16X1fjxBcI0BCN7RinWf+e1DQO87iySYnNJjnWQEONgqNtOQqKdGKeJ1eYHq48w1QSooIEK6sK7qQmVUtFQTnlDObsbduMP+/HbodRrUOqF1tdebl1Mg0lsQ9WerTGBGONv3JJLINvfvCzGb+IOgD1sI2KJocEegy/GQ21MDLXuWGpjYvC5Y/C53PjcMdS53BS63GxxufHZY/Dhpi7ipj7gIhBx4CoHV9DEFTBxBU3cIZNY08BjWIi1GMRbrcTZrMQ7bHidVhJddhLcdhLddhJjHMTH2HDFOnC4rRq1KCJdbsGbmwn5w2T0iWfA+PSubo6IiIgcIZQkFBGJEi67lV7JMfRKPvCD5+sCIcpqApTW+imt8VO252tprZ/y2gDlvgC7fX7KfQEq64OYJlTWBamsC7K11PcdrUjcs/XBYkC82068y06Gy4bHZcXpiOCwhbBYA1isfkyjnrDhI2TUEDCraYhUUBcupy5Sji9cTkOkGsOIUOcyqHNBKXAwycU9nxgj4sMdKMXtB3dg72biCoDLB6mVkB2gMQkYaJwW7QyCM7BnFWjDQQQnptVFxOIkZIshaI0h6HDR4HDR4HTS4HCS73Sxxemk3uFsKmtwOAnYHYQtdiJWJxh2DKsDw+7EZnXgtlhwGxZiLAZuq4VYq4VYmxWP3Uqs3YrHYcPjsOJxWolz2vG4bMS7bMS57XgcNuwWPXdRRNquaGsVGxcWgwEnXDxAz24VERGRTqMkoYhINxPjsNEr2fadyUSAUDhCZX2wMXFYG6CiLkBlXZCKugBV9UEq9iQSK5vKg1TXBwmEI0T2SS62zgLE7tnS9tsGp83A7bDgtIPDZmK3hbFZw1isQbAEwAgQMRqIUE8IHyHTh59agpFa/JFasAQwLEFqjAC17iDEBDEsAbCEgHBrjzpsRRio27Pt8wkiJs5gYyLRsc9XZwgcdSbeKkgNgX3P5tiz2cMmjiDYw2CYVhp/nNrAsAF2TIsdExs1FgdVFgemxU7Y6iBscez56iRkcxK0OQhb7UQsNkyrnYjVhmltfG3Y7Bg2G4bNgcVmx2K3YbHbsdoc2Bx27A47doejaXO4HDiddlx2Gy67BZfNitthxWW3EGO34rRasFsMHMberwaOPV/tFgO7YSjZIBLlzIjJ5zM3AjD42EzScrRojYiIiHQeJQlFRI5gNquFFI+TFI8T2jgjzTRN/KEI1fVBqhuCVNUHqa4PUd3QmECsqg9S6w9T0xCk1h+itiFETUOIGn+oqcznDxEMmwD4Qyb+UHifKxg0JdVwd+jzGYaJzQo2awSrJYLFEsZiDWEYITCCjQlIAphmgIjhJ0xjQtI0gmCEwQjRYITACIERxtibCTTCe87RWMcwwt/xOgI0tDFh2ZwtZGKNgC0Mtr1fwzSWhcDqbyy3RsAaNvd5vafOPq+tETBMo3HDgmFaMDAAK4ZpAcMCe8obX1sx95SZWMGwYGAFLGCxNdY1rE0bhrXxvBZb43uLFYthxbDYsFisWCw2DMOGxdr42mK1YbVYsVjtWCxWbDYbFosNq82G1dq4GTYrVpsVq82GYW18bbFZsFqtjeexWjEMA4vVitXaWI5hwWK1YLVYsFgsGBZL036LYcGwNpZbDQOLdc9+ixWLxWhsj8VoOqfFMBrPY7VgGBasFgMLYDEavxoGWDCw7Plq0LhSuQFKqspht25BIaV5NThcViZqNWMRERHpZEoSiohIM4Zh4LJbcdmtpMW72n2eQCiCzx/CFwjh84ep9YeoCzQmEH3+MHXBMPV79tUHw9QFQtQFwtTt2dewZ6sPNO7f+7ouGMZszD9imgbBEARDVsAK2DulD9rLILIncRj5JoHI3kRiGNMIA5E9ScjIPgnGvcdE9uxv3Iw95Vj2ZAAdJo2jJyOAuefYfet/q4wIhmHu895s9rV5fbOxnEhjApTgnrK99c1m9Yymsn3OuXfbU9cwvl3W8rUlEMESaPyIFrNxM/Zsrb6PNPb1t8v3fd1sP9/sM75VZjFN+NYx0JhoZU8d9iQG2XscRmPT90ybt+zzeu+/gr31/3nXYmw2hVrSOfz1Ib56cwsA487uTUy8o4tbJCIiIkcaRa4iInJIOGwWHDYHibGd+4vs3pGO/mCEhtDeZGKEhmAYfyjSlFxsCEUIhCL4Q2H8wUjjMaHwnrLGesFwY51AONJUvu/7YDhCMGw2vQ6EIwRDe8rCkZZtw4JpWvYkkeTg7JNoNPZ24LeSi3veG3v38e16+5QbND8O9hy7bz2+dRzNj7V86xrfqm80O67luSyWA68WLnIwFv9vG/U1QRLSYxh2cs+ubo6IiIgcgZQkFBGRbmXfkY7eLhw5aJomwbBJKNKYNAyGI4T2fA2GI4QijcnFcOSbOqE99UP7HBeKRAhHIBxpPCYcaTzv3vehcGNZxDSb9u+7NZY1niNifmv/Pu8jrb02IbJP2d5y06TpWNOk6VymSVO9yD71Gt+DiUlkT/2Dt09Cbd/DWzlVR3KwhzN/qyRh58vPz+eGG27gvffeo66ujn79+vHMM88wduzY/R7j9/u58847eeGFFygqKiIzM5Nbb72Vq666CoCnnnqK5557jtWrVwMwZswY7rnnHsaPH39YPlNb+OuCrJ1XAMDxF/XHatO/LREREel8ShKKiIi0g2EYOGwGDvTLemtMszFhuDepuDfZaNJYZu6TVNy3jrmf9yZ7k497yveex6RZXROz2TGNU9P3OSbyTblJY+G+782m9+Y3X5vOvW9543lh333NzyGdq6KigkmTJnHKKafw3nvvkZqayqZNm0hMTDzgcRdddBHFxcX8+9//pl+/fhQWFhKJfDMS+LPPPuPSSy/luOOOw+Vycf/993PGGWewZs0aevTocag/Vps4Y+xcfPN4Ni8tJueY5K5ujoiIiByhDNM0Fcd+S3V1NV6vl6qqKuLjtWqciIiIRJejMVa58cYb+fLLL5k3b16bj3n//fe55JJL2Lp1K0lJSW06JhwOk5iYyGOPPcbll1/epmOOxvshIiIi3UdbYxUNfxARERGRqPf2228zduxYLrzwQtLS0hg1ahRPPfVUm4554IEH6NGjBwMGDOD3v/899fX1+z2mrq6OYDB4wKSi3++nurq62SYiIiLS3SlJKCIiIiJRb+vWrTz++OP079+fDz74gF/+8pdcd911/Oc//zngMV988QWrV69m1qxZPPLII7z22mv86le/2u8xN9xwA1lZWUyePHm/de699168Xm/Tlp2d3aHPJiIiIhINNN24FZoyIiIiItHsaIxVHA4HY8eOZf78+U1l1113HYsXL2bBggWtHnPGGWcwb948ioqK8Hq9ALzxxhtccMEF+Hw+3G53s/r33XcfDzzwAJ999hnDhw/fb1v8fj9+v7/pfXV1NdnZ2UfV/RAREZHuQ9ONRUREROSIkZmZyZAhQ5qVDR48mLy8vAMe06NHj6YE4d5jTNNk165dzer+5S9/4b777uPDDz88YIIQwOl0Eh8f32wTERER6e6UJBQRERGRqDdp0iQ2bNjQrGzjxo3k5OQc8JiCggJqa2ubHWOxWOjZs2dT2QMPPMBdd93F+++/z9ixYzu/8SIiIiLdgJKEIiIiIhL1fvOb3/DVV19xzz33sHnzZl588UWefPJJZsyY0VTnpptuarYi8Q9/+EOSk5O58sorWbt2LZ9//jn/7//9P6666qqmqcb3338/t9xyC08//TS5ubkUFRVRVFTULLEoIiIicjRQklBEREREot64ceOYNWsWL730EkOHDuWuu+7ikUceYfr06U11CgsLm00/9ng8zJkzh8rKSsaOHcv06dOZNm0ajz76aFOdxx9/nEAgwAUXXEBmZmbT9pe//OWwfj4RERGRrqaFS1pxND4MXERERLoPxSrRRfdDREREopkWLhEREREREREREZE2UZJQRERERERERETkKKckoYiIiIiIiIiIyFFOSUIREREREREREZGjnJKEIiIiIiIiIiIiRzklCUVERERERERERI5ytq5uQDQyTRNoXCJaREREJNrsjVH2xizStRQ7ioiISDRra+yoJGErampqAMjOzu7iloiIiIjsX01NDV6vt6ubcdRT7CgiIiLdwXfFjoapP0G3EIlEKCgoIC4uDsMwDsk1qquryc7OZufOncTHxx+SaxxN1J+dT33audSfnUv92bnUn53rcPSnaZrU1NSQlZWFxaKnx3Q1xY7dj/qzc6k/O5f6s/OpTzuX+rNzRVPsqJGErbBYLPTs2fOwXCs+Pl7/qTqR+rPzqU87l/qzc6k/O5f6s3Md6v7UCMLoodix+1J/di71Z+dSf3Y+9WnnUn92rmiIHfWnZxERERERERERkaOckoQiIiIiIiIiIiJHOSUJu4jT6eS2227D6XR2dVOOCOrPzqc+7Vzqz86l/uxc6s/Opf6UQ0H/rjqX+rNzqT87l/qz86lPO5f6s3NFU39q4RIREREREREREZGjnEYSioiIiIiIiIiIHOWUJBQRERERERERETnKKUkoIiIiIiIiIiJylFOSUERERERERERE5CinJGEX+fvf/05ubi4ul4sJEyawaNGirm5St/D5558zbdo0srKyMAyDN998s9l+0zS59dZbyczMxO12M3nyZDZt2tQ1je0G7r33XsaNG0dcXBxpaWmce+65bNiwoVmdhoYGZsyYQXJyMh6Phx/84AcUFxd3UYuj2+OPP87w4cOJj48nPj6eY489lvfee69pv/qyY+677z4Mw+D6669vKlOftt3tt9+OYRjNtkGDBjXtV18evPz8fH70ox+RnJyM2+1m2LBhLFmypGm/fiZJZ1Ls2D6KHTuXYsfOpdjx0FLs2DGKHTtfd4gdlSTsAi+//DK//e1vue2221i2bBkjRoxgypQplJSUdHXTop7P52PEiBH8/e9/b3X/Aw88wKOPPso///lPFi5cSGxsLFOmTKGhoeEwt7R7mDt3LjNmzOCrr75izpw5BINBzjjjDHw+X1Od3/zmN7zzzju8+uqrzJ07l4KCAs4///wubHX06tmzJ/fddx9Lly5lyZIlnHrqqZxzzjmsWbMGUF92xOLFi3niiScYPnx4s3L16cE55phjKCwsbNq++OKLpn3qy4NTUVHBpEmTsNvtvPfee6xdu5YHH3yQxMTEpjr6mSSdRbFj+yl27FyKHTuXYsdDR7Fj51Ds2Hm6TexoymE3fvx4c8aMGU3vw+GwmZWVZd57771d2KruBzBnzZrV9D4SiZgZGRnmn//856ayyspK0+l0mi+99FIXtLD7KSkpMQFz7ty5pmk29p/dbjdfffXVpjrr1q0zAXPBggVd1cxuJTEx0fzXv/6lvuyAmpoas3///uacOXPMk046yfz1r39tmqb+fR6s2267zRwxYkSr+9SXB++GG24wjz/++P3u188k6UyKHTuHYsfOp9ix8yl27DjFjp1DsWPn6i6xo0YSHmaBQIClS5cyefLkpjKLxcLkyZNZsGBBF7as+9u2bRtFRUXN+tbr9TJhwgT1bRtVVVUBkJSUBMDSpUsJBoPN+nTQoEH06tVLffodwuEwM2fOxOfzceyxx6ovO2DGjBmcddZZzfoO9O+zPTZt2kRWVhZ9+vRh+vTp5OXlAerL9nj77bcZO3YsF154IWlpaYwaNYqnnnqqab9+JklnUex46Oj/accpduw8ih07j2LHzqPYsfN0l9hRScLDrKysjHA4THp6erPy9PR0ioqKuqhVR4a9/ae+bZ9IJML111/PpEmTGDp0KNDYpw6Hg4SEhGZ11af7t2rVKjweD06nk1/84hfMmjWLIUOGqC/baebMmSxbtox77723xT716cGZMGECzz77LO+//z6PP/4427Zt44QTTqCmpkZ92Q5bt27l8ccfp3///nzwwQf88pe/5LrrruM///kPoJ9J0nkUOx46+n/aMYodO4dix86l2LHzKHbsXN0ldrQdtiuJSFSbMWMGq1evbvacCTl4AwcOZMWKFVRVVfHaa69xxRVXMHfu3K5uVre0c+dOfv3rXzNnzhxcLldXN6fbO/PMM5teDx8+nAkTJpCTk8Mrr7yC2+3uwpZ1T5FIhLFjx3LPPfcAMGrUKFavXs0///lPrrjiii5unYjIoafYsXModuw8ih07l2LHztVdYkeNJDzMUlJSsFqtLVb9KS4uJiMjo4tadWTY23/q24N3zTXXMHv2bD799FN69uzZVJ6RkUEgEKCysrJZffXp/jkcDvr168eYMWO49957GTFiBH/961/Vl+2wdOlSSkpKGD16NDabDZvNxty5c3n00Uex2Wykp6erTzsgISGBAQMGsHnzZv37bIfMzEyGDBnSrGzw4MFN03D0M0k6i2LHQ0f/T9tPsWPnUezYeRQ7HlqKHTumu8SOShIeZg6HgzFjxvDxxx83lUUiET7++GOOPfbYLmxZ99e7d28yMjKa9W11dTULFy5U3+6HaZpcc801zJo1i08++YTevXs32z9mzBjsdnuzPt2wYQN5eXnq0zaKRCL4/X71ZTucdtpprFq1ihUrVjRtY8eOZfr06U2v1aftV1tby5YtW8jMzNS/z3aYNGkSGzZsaFa2ceNGcnJyAP1Mks6j2PHQ0f/Tg6fY8dBT7Nh+ih0PLcWOHdNtYsfDtkSKNJk5c6bpdDrNZ5991ly7dq35s5/9zExISDCLioq6umlRr6amxly+fLm5fPlyEzAfeughc/ny5eaOHTtM0zTN++67z0xISDDfeustc+XKleY555xj9u7d26yvr+/ilkenX/7yl6bX6zU/++wzs7CwsGmrq6trqvOLX/zC7NWrl/nJJ5+YS5YsMY899ljz2GOP7cJWR68bb7zRnDt3rrlt2zZz5cqV5o033mgahmF++OGHpmmqLzvDvivUmab69GD87ne/Mz/77DNz27Zt5pdffmlOnjzZTElJMUtKSkzTVF8erEWLFpk2m828++67zU2bNpn//e9/zZiYGPOFF15oqqOfSdJZFDu2n2LHzqXYsXMpdjz0FDu2n2LHztVdYkclCbvI3/72N7NXr16mw+Ewx48fb3711Vdd3aRu4dNPPzWBFtsVV1xhmmbjsuG33HKLmZ6ebjqdTvO0004zN2zY0LWNjmKt9SVgPvPMM0116uvrzV/96ldmYmKiGRMTY5533nlmYWFh1zU6il111VVmTk6O6XA4zNTUVPO0005rCvJMU33ZGb4d6KlP2+7iiy82MzMzTYfDYfbo0cO8+OKLzc2bNzftV18evHfeecccOnSo6XQ6zUGDBplPPvlks/36mSSdSbFj+yh27FyKHTuXYsdDT7Fj+yl27HzdIXY0TNM0D9+4RREREREREREREYk2eiahiIiIiIiIiIjIUU5JQhERERERERERkaOckoQiIiIiIiIiIiJHOSUJRUREREREREREjnJKEoqIiIiIiIiIiBzllCQUERERERERERE5yilJKCIiIiIiIiIicpRTklBEREREREREROQopyShiHRbP/7xjzn33HMP+3WfffZZDMPAMAyuv/76Dp8rISGhU9p1qJ188slNn3vFihVd3RwRERGRg6LY8fBS7CjS/di6ugEiIq0xDOOA+2+77Tb++te/YprmYWpRc/Hx8WzYsIHY2NgOnefiiy9m6tSpndSqbxiGwaxZszo1EH7jjTfYsmUL48eP77RzioiIiHQGxY4do9hRREBJQhGJUoWFhU2vX375ZW699VY2bNjQVObxePB4PF3RNKAxkMrIyOjwedxuN263uxNadOglJSVRXV3d1c0QERERaUGxY/RR7CjS/Wi6sYhEpYyMjKbN6/U2BVZ7N4/H02LKyMknn8y1117L9ddfT2JiIunp6Tz11FP4fD6uvPJK4uLi6NevH++9916za61evZozzzwTj8dDeno6l112GWVlZQfd5tzcXP70pz9x+eWX4/F4yMnJ4e2336a0tJRzzjkHj8fD8OHDWbJkSdMx354ycvvttzNy5Eief/55cnNz8Xq9XHLJJdTU1DS7ziOPPNLs2iNHjuT2229v2g9w3nnnYRhG03uAt956i9GjR+NyuejTpw933HEHoVAIANM0uf322+nVqxdOp5OsrCyuu+66g+4HERERkcNNsaNiRxHpOCUJReSI8p///IeUlBQWLVrEtddeyy9/+UsuvPBCjjvuOJYtW8YZZ5zBZZddRl1dHQCVlZWceuqpjBo1iiVLlvD+++9TXFzMRRdd1K7rP/zww0yaNInly5dz1llncdlll3H55Zfzox/9iGXLltG3b18uv/zyA0512bJlC2+++SazZ89m9uzZzJ07l/vuu6/NbVi8eDEAzzzzDIWFhU3v582bx+WXX86vf/1r1q5dyxNPPMGzzz7L3XffDcDrr7/Oww8/zBNPPMGmTZt48803GTZsWLv6QURERKQ7UOyo2FFEvqEkoYgcUUaMGMHNN99M//79uemmm3C5XKSkpHD11VfTv39/br31Vnbv3s3KlSsBeOyxxxg1ahT33HMPgwYNYtSoUTz99NN8+umnbNy48aCvP3XqVH7+8583Xau6uppx48Zx4YUXMmDAAG644QbWrVtHcXHxfs8RiUR49tlnGTp0KCeccAKXXXYZH3/8cZvbkJqaCkBCQgIZGRlN7++44w5uvPFGrrjiCvr06cPpp5/OXXfdxRNPPAFAXl4eGRkZTJ48mV69ejF+/Hiuvvrqg+4DERERke5CsaNiRxH5hpKEInJEGT58eNNrq9VKcnJys79opqenA1BSUgLA119/zaefftr0nBqPx8OgQYOAxr/KduT6e691oOu3Jjc3l7i4uKb3mZmZB6zfVl9//TV33nlns8969dVXU1hYSF1dHRdeeCH19fX06dOHq6++mlmzZjVNJxERERE5Eil23D/FjiJHHy1cIiJHFLvd3uy9YRjNyvaufBeJRACora1l2rRp3H///S3OlZmZ2aHr773Wga7/XefYe8y+9S0WS4spJ8Fg8DvbVltbyx133MH555/fYp/L5SI7O5sNGzbw0UcfMWfOHH71q1/x5z//mblz57Zok4iIiMiRQLHj/il2FDn6KEkoIke10aNH8/rrr5Obm4vN1j2+JaampjZbwa+6uppt27Y1q2O32wmHw83KRo8ezYYNG+jXr99+z+12u5k2bRrTpk1jxowZDBo0iFWrVjF69OjO/RAiIiIi3ZBix+YUO4ocWTTdWESOajNmzKC8vJxLL72UxYsXs2XLFj744AOuvPLKFoFStDj11FN5/vnnmTdvHqtWreKKK67AarU2q5Obm8vHH39MUVERFRUVANx6660899xz3HHHHaxZs4Z169Yxc+ZMbr75ZqBxtbx///vfrF69mq1bt/LCCy/gdrvJyck57J9RREREJBopdlTsKHIkU5JQRI5qWVlZfPnll4TDYc444wyGDRvG9ddfT0JCAhZLdH6LvOmmmzjppJM4++yzOeusszj33HPp27dvszoPPvggc+bMITs7m1GjRgEwZcoUZs+ezYcffsi4ceOYOHEiDz/8cFMgl5CQwFNPPcWkSZMYPnw4H330Ee+88w7JycmH/TOKiIiIRCPFjoodRY5khnmgtdRFRKSFZ599luuvv57Kysqubspht337dnr37s3y5csZOXJkVzdHREREJOopdlTsKNJdROefOkREolxVVRUej4cbbrihq5ty2Jx55pkcc8wxXd0MERERkW5HsaOIdAcaSSgicpBqamooLi4GGqdZpKSkdHGLDo/8/Hzq6+sB6NWrFw6Ho4tbJCIiIhL9FDsqdhTpLpQkFBEREREREREROcppurGIiIiIiIiIiMhRTklCERERERERERGRo5yShCIiIiIiIiIiIkc5JQlFRERERERERESOckoSioiIiIiIiIiIHOWUJBQRERERERERETnKKUkoIiIiIiIiIiJylFOSUERERERERERE5Cj3/wEGxVTxcbn/pAAAAABJRU5ErkJggg==", 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" ] @@ -242,7 +243,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -278,7 +279,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -314,16 +315,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "[1] Weilong Ai, Ludwig Kraft, Johannes Sturm, Andreas Jossen, and Billy Wu. Electrochemical thermal-mechanical modelling of stress inhomogeneity in lithium-ion pouch cells. Journal of The Electrochemical Society, 167(1):013512, 2019. doi:10.1149/2.0122001JES.\n", - "[2] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n", - "[3] Chang-Hui Chen, Ferran Brosa Planella, Kieran O'Regan, Dominika Gastol, W. Dhammika Widanage, and Emma Kendrick. Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models. Journal of The Electrochemical Society, 167(8):080534, 2020. doi:10.1149/1945-7111/ab9050.\n", - "[4] Rutooj Deshpande, Mark Verbrugge, Yang-Tse Cheng, John Wang, and Ping Liu. Battery cycle life prediction with coupled chemical degradation and fatigue mechanics. Journal of the Electrochemical Society, 159(10):A1730, 2012. doi:10.1149/2.049210jes.\n", - "[5] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", - "[6] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", - "[7] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", - "[8] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", - "[9] Dongsheng Ren, Kandler Smith, Dongxu Guo, Xuebing Han, Xuning Feng, Languang Lu, and Minggao Ouyang. Investigation of lithium plating-stripping process in li-ion batteries at low temperature using an electrochemical model. Journal of the Electrochemistry Society, 165:A2167-A2178, 2018. doi:10.1149/2.0661810jes.\n", - "[10] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[1] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n", + "[2] Chang-Hui Chen, Ferran Brosa Planella, Kieran O'Regan, Dominika Gastol, W. Dhammika Widanage, and Emma Kendrick. Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models. Journal of The Electrochemical Society, 167(8):080534, 2020. doi:10.1149/1945-7111/ab9050.\n", + "[3] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", + "[4] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", + "[5] Simon E. J. O'Kane, Ian D. Campbell, Mohamed W. J. Marzook, Gregory J. Offer, and Monica Marinescu. Physical origin of the differential voltage minimum associated with lithium plating in li-ion batteries. Journal of The Electrochemical Society, 167(9):090540, may 2020. URL: https://doi.org/10.1149/1945-7111/ab90ac, doi:10.1149/1945-7111/ab90ac.\n", + "[6] Simon E. J. O'Kane, Weilong Ai, Ganesh Madabattula, Diego Alonso-Alvarez, Robert Timms, Valentin Sulzer, Jacqueline Sophie Edge, Billy Wu, Gregory J. Offer, and Monica Marinescu. Lithium-ion battery degradation: how to model it. Phys. Chem. Chem. Phys., 24:7909-7922, 2022. URL: http://dx.doi.org/10.1039/D2CP00417H, doi:10.1039/D2CP00417H.\n", + "[7] Dongsheng Ren, Kandler Smith, Dongxu Guo, Xuebing Han, Xuning Feng, Languang Lu, and Minggao Ouyang. Investigation of lithium plating-stripping process in li-ion batteries at low temperature using an electrochemical model. Journal of the Electrochemistry Society, 165:A2167-A2178, 2018. doi:10.1149/2.0661810jes.\n", + "[8] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", "\n" ] } @@ -349,7 +348,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.11.3" }, "toc": { "base_numbering": 1, diff --git a/examples/notebooks/parameterization/parameter-values.ipynb b/examples/notebooks/parameterization/parameter-values.ipynb index 7096eb53f5..4b10e9579c 100644 --- a/examples/notebooks/parameterization/parameter-values.ipynb +++ b/examples/notebooks/parameterization/parameter-values.ipynb @@ -19,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -50,14 +50,18 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "parameter values are {'a': 1,\n", + "parameter values are {'Boltzmann constant [J.K-1]': 1.380649e-23,\n", + " 'Electron charge [C]': 1.602176634e-19,\n", + " 'Faraday constant [C.mol-1]': 96485.33212,\n", + " 'Ideal gas constant [J.K-1.mol-1]': 8.314462618,\n", + " 'a': 1,\n", " 'b': 2,\n", " 'c': 3}\n" ] @@ -69,44 +73,6 @@ "print(\"parameter values are {}\".format(parameter_values))" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "or a csv file," - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "parameter values are {'a': 4,\n", - " 'b': 5,\n", - " 'c': 6}\n" - ] - } - ], - "source": [ - "f = open(\"param_file.csv\", \"w+\")\n", - "f.write(\n", - "\"\"\"\n", - "Name [units],Value\n", - "a, 4\n", - "b, 5\n", - "c, 6\n", - "\"\"\"\n", - ")\n", - "f.close()\n", - "\n", - "parameter_values = pybamm.ParameterValues(\"param_file.csv\")\n", - "print(\"parameter values are {}\".format(parameter_values))" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -116,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -143,17 +109,21 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "parameter values are {'a': 4,\n", - " 'b': 5,\n", - " 'c': 6,\n", - " 'cube function': }\n" + "parameter values are {'Boltzmann constant [J.K-1]': 1.380649e-23,\n", + " 'Electron charge [C]': 1.602176634e-19,\n", + " 'Faraday constant [C.mol-1]': 96485.33212,\n", + " 'Ideal gas constant [J.K-1.mol-1]': 8.314462618,\n", + " 'a': 1,\n", + " 'b': 2,\n", + " 'c': 3,\n", + " 'cube function': }\n" ] } ], @@ -180,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 16, "metadata": { "tags": [ "raises-exception" @@ -217,14 +187,14 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "34.0 = 34.0\n" + "7.0 = 7.0\n" ] } ], @@ -235,14 +205,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "64.0 = 64.0\n" + "1.0 = 1.0\n" ] } ], @@ -260,7 +230,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -288,6 +258,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -300,17 +271,17 @@ "The toy model used is:\n", "$$\\frac{\\mathrm{d} u}{\\mathrm{d} t} = -a u$$\n", "\n", - "with initial conditions $u(0) = b$. The model is first solved with $a = 3, b = 2$, then with $a = 4, b = -1$" + "with initial conditions $u(0) = b$. The model is first solved with $a = 3, b = 2$, then with $a = -1, b = 2$" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -374,16 +345,16 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{Variable(-0x5fac921fa1fcf102, u, children=[], domains={}): Multiplication(-0x539f7b6bea36b8da, *, children=['-a', 'y[0:1]'], domains={})}" + "{Variable(0x5f4a102fc03b7b39, u, children=[], domains={}): Multiplication(-0x32ae6bc94fa07109, *, children=['-a', 'y[0:1]'], domains={})}" ] }, - "execution_count": 11, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -404,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -446,7 +417,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -469,7 +440,7 @@ ], "metadata": { "kernelspec": { - "display_name": "pybamm", + "display_name": "dev", "language": "python", "name": "python3" }, @@ -500,7 +471,7 @@ }, "vscode": { "interpreter": { - "hash": "187972e187ab8dfbecfab9e8e194ae6d08262b2d51a54fa40644e3ddb6b5f74c" + "hash": "bca2b99bfac80e18288b793d52fa0653ab9b5fe5d22e7b211c44eb982a41c00c" } } }, diff --git a/examples/notebooks/solvers/speed-up-solver.ipynb b/examples/notebooks/solvers/speed-up-solver.ipynb index 9d1092387d..ec33199274 100644 --- a/examples/notebooks/solvers/speed-up-solver.ipynb +++ b/examples/notebooks/solvers/speed-up-solver.ipynb @@ -23,9 +23,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[33mWARNING: You are using pip version 22.0.4; however, version 22.3.1 is available.\n", - "You should consider upgrading via the '/home/mrobins/git/PyBaMM/env/bin/python -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\n", - "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n" + "Note: you may need to restart the kernel to use updated packages.\n" ] } ], @@ -116,13 +114,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Safe: 244.494 ms\n", - "Fast: 124.530 ms\n" + "Safe: 153.951 ms\n", + "Fast: 88.029 ms\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -158,24 +156,33 @@ "execution_count": 4, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "At t = 506.167 and h = 8.15178e-16, the corrector convergence failed repeatedly or with |h| = hmin.\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "Safe: 254.334 ms\n", - "Solving fast mode, error occured: .../casadi/interfaces/sundials/idas_interface.cpp:591: IDASolve returned \"IDA_CONV_FAIL\". Consult IDAS documentation.\n" + "Safe: 403.072 ms\n", + "Solving fast mode, error occured: Error in Function::call for 'F' [IdasInterface] at .../casadi/core/function.cpp:1401:\n", + "Error in Function::call for 'F' [IdasInterface] at .../casadi/core/function.cpp:330:\n", + ".../casadi/interfaces/sundials/idas_interface.cpp:564: IDASolve returned \"IDA_CONV_FAIL\". Consult IDAS documentation.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "At t = 0.179286 and h = 2.63857e-18, the corrector convergence failed repeatedly or with |h| = hmin.\n" + "At t = 4051.62 and h = 2.10435e-15, the corrector convergence failed repeatedly or with |h| = hmin.\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -208,18 +215,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c7005db691a64eafa9f3b3578ddf6bf3", + "model_id": "99244556077647bcaf7b21b9b1c40acb", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "interactive(children=(FloatSlider(value=0.0, description='t', max=3617.979418965945, step=36.179794189659454),…" + "interactive(children=(FloatSlider(value=0.0, description='t', max=3617.9769611086454, step=36.179769611086456)…" ] }, "metadata": {}, @@ -253,26 +260,17 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "At t = 0.00707663 and h = 3.28826e-12, the corrector convergence failed repeatedly or with |h| = hmin.\n" - ] - }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -318,7 +314,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -342,19 +338,19 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "With dt_max=10, took 834.337 ms (integration time: 743.685 ms)\n", - "With dt_max=20, took 846.601 ms (integration time: 755.537 ms)\n", - "With dt_max=100, took 487.629 ms (integration time: 421.706 ms)\n", - "With dt_max=1000, took 116.843 ms (integration time: 84.756 ms)\n", - "With dt_max=3700, took 95.308 ms (integration time: 67.663 ms)\n", - "With 'fast' mode, took 74.202 ms (integration time: 61.049 ms)\n" + "With dt_max=10, took 669.420 ms (integration time: 590.350 ms)\n", + "With dt_max=20, took 686.120 ms (integration time: 599.137 ms)\n", + "With dt_max=100, took 369.348 ms (integration time: 319.797 ms)\n", + "With dt_max=1000, took 91.474 ms (integration time: 57.455 ms)\n", + "With dt_max=3700, took 57.838 ms (integration time: 37.095 ms)\n", + "With 'fast' mode, took 49.520 ms (integration time: 37.400 ms)\n" ] } ], @@ -392,39 +388,27 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "With dt_max=10, took 760.469 ms (integration time: 639.532 ms)\n", - "With dt_max=20, took 750.453 ms (integration time: 632.983 ms)\n", - "With dt_max=100, took 436.671 ms (integration time: 363.376 ms)\n", - "With dt_max=1000, took 148.000 ms (integration time: 99.470 ms)\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "At t = 0.0203867 and h = 2.90324e-18, the corrector convergence failed repeatedly or with |h| = hmin.\n", - "At t = 0.0203867, , mxstep steps taken before reaching tout.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "With dt_max=3600, took 936.702 ms (integration time: 61.831 ms)\n" + "With dt_max=10, took 588.138 ms (integration time: 489.722 ms)\n", + "With dt_max=20, took 581.809 ms (integration time: 484.621 ms)\n", + "With dt_max=100, took 329.091 ms (integration time: 272.181 ms)\n", + "With dt_max=1000, took 113.543 ms (integration time: 69.477 ms)\n", + "With dt_max=3600, took 939.024 ms (integration time: 36.933 ms)\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "At t = 0.0203867, , mxstep steps taken before reaching tout.\n" + "At t = 460.712 and h = 1.83699e-16, the corrector convergence failed repeatedly or with |h| = hmin.\n", + "At t = 460.712, , mxstep steps taken before reaching tout.\n", + "At t = 460.712, , mxstep steps taken before reaching tout.\n" ] } ], @@ -470,14 +454,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Took 2.349 s\n" + "Took 828.886 ms\n" ] } ], @@ -506,19 +490,17 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -535,26 +517,24 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Took 905.613 ms\n" + "Took 709.638 ms\n" ] }, { "data": { - "image/png": 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -584,33 +564,31 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "At t = 0.0558569, , mxstep steps taken before reaching tout.\n" + "At t = 1262.29 and h = 1.11482e-19, the corrector convergence failed repeatedly or with |h| = hmin.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Took 815.269 ms\n" + "Took 699.760 ms\n" ] }, { "data": { - "image/png": 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -640,37 +618,36 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Took 407.554 ms\n" + "Took 309.979 ms\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ + "s = pybamm.step.string\n", "experiment = pybamm.Experiment(\n", " [\n", - " \"Discharge at C/10 for 10 hours or until 3.3 V (5 hour period)\",\n", - " \"Rest for 1 hour (30 minute period)\",\n", - " \"Charge at 1 C until 4.1 V (10 minute period)\",\n", - " \"Hold at 4.1 V until 50 mA (10 minute period)\",\n", - " \"Rest for 1 hour (30 minute period)\",\n", + " s(\"Discharge at C/10 for 10 hours or until 3.3 V\", period=\"5 hours\"),\n", + " s(\"Rest for 1 hour\", period=\"30 minutes\"),\n", + " s(\"Charge at 1 C until 4.1 V\", period=\"10 minutes\"),\n", + " s(\"Hold at 4.1 V until 50 mA\", period=\"10 minutes\"),\n", + " s(\"Rest for 1 hour\", period=\"30 minutes\"),\n", " ],\n", ")\n", "solver = pybamm.CasadiSolver(mode=\"safe\", extra_options_setup={\"max_num_steps\": 1000})\n", @@ -748,7 +725,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -795,7 +772,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -826,29 +803,27 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 19, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -872,23 +847,23 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Exact: 340.477 us\n", - "Smooth, k=5: 264.174 us\n", - "Smooth, k=10: 227.386 us\n", - "Smooth, k=100: 286.676 us\n" + "Exact: 171.144 us\n", + "Smooth, k=5: 161.840 us\n", + "Smooth, k=10: 137.627 us\n", + "Smooth, k=100: 178.807 us\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "05e7041936a24e48a10ad08b91d20f30", + "model_id": "a7ef8a815d03434bb3f1f4283d50018b", "version_major": 2, "version_minor": 0 }, @@ -953,7 +928,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -985,22 +960,21 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[1] Weilong Ai, Ludwig Kraft, Johannes Sturm, Andreas Jossen, and Billy Wu. Electrochemical thermal-mechanical modelling of stress inhomogeneity in lithium-ion pouch cells. Journal of The Electrochemical Society, 167(1):013512, 2019. doi:10.1149/2.0122001JES.\n", - "[2] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n", - "[3] Rutooj Deshpande, Mark Verbrugge, Yang-Tse Cheng, John Wang, and Ping Liu. Battery cycle life prediction with coupled chemical degradation and fatigue mechanics. Journal of the Electrochemical Society, 159(10):A1730, 2012. doi:10.1149/2.049210jes.\n", - "[4] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", - "[5] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", - "[6] Scott G. Marquis, Valentin Sulzer, Robert Timms, Colin P. Please, and S. Jon Chapman. An asymptotic derivation of a single particle model with electrolyte. Journal of The Electrochemical Society, 166(15):A3693–A3706, 2019. doi:10.1149/2.0341915jes.\n", - "[7] Peyman Mohtat, Suhak Lee, Jason B Siegel, and Anna G Stefanopoulou. Towards better estimability of electrode-specific state of health: decoding the cell expansion. Journal of Power Sources, 427:101–111, 2019.\n", - "[8] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", - "[9] Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, and others. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3):261–272, 2020. doi:10.1038/s41592-019-0686-2.\n", + "[1] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.\n", + "[2] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.\n", + "[3] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.\n", + "[4] Scott G. Marquis, Valentin Sulzer, Robert Timms, Colin P. Please, and S. Jon Chapman. An asymptotic derivation of a single particle model with electrolyte. Journal of The Electrochemical Society, 166(15):A3693–A3706, 2019. doi:10.1149/2.0341915jes.\n", + "[5] Peyman Mohtat, Suhak Lee, Jason B Siegel, and Anna G Stefanopoulou. Towards better estimability of electrode-specific state of health: decoding the cell expansion. Journal of Power Sources, 427:101–111, 2019.\n", + "[6] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.\n", + "[7] Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, and others. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3):261–272, 2020. doi:10.1038/s41592-019-0686-2.\n", + "[8] Andrew Weng, Jason B Siegel, and Anna Stefanopoulou. Differential voltage analysis for battery manufacturing process control. arXiv preprint arXiv:2303.07088, 2023.\n", "\n" ] } @@ -1026,7 +1000,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.11.3" }, "toc": { "base_numbering": 1, diff --git a/examples/scripts/cycling_ageing.py b/examples/scripts/cycling_ageing.py index 2f854e1378..6ac0da8b67 100644 --- a/examples/scripts/cycling_ageing.py +++ b/examples/scripts/cycling_ageing.py @@ -50,7 +50,7 @@ "Charge at 1 C until 4.2 V", "Hold at 4.2 V until C/20", "Rest for 30 minutes", - "Discharge at 3 C until 2.8 V (10 second period)", + pb.step.string("Discharge at 3 C until 2.8 V", period=10), "Rest for 30 minutes", ), ] diff --git a/examples/scripts/experiment_drive_cycle.py b/examples/scripts/experiment_drive_cycle.py index e3e852fa99..e6793b9b20 100644 --- a/examples/scripts/experiment_drive_cycle.py +++ b/examples/scripts/experiment_drive_cycle.py @@ -34,16 +34,12 @@ def map_drive_cycle(x, min_op_value, max_op_value): "Charge at 1 A until 4.0 V", "Hold at 4.0 V until 50 mA", "Rest for 30 minutes", - "Run US06_A (A)", + pybamm.step.current(drive_cycle_current), "Rest for 30 minutes", - "Run US06_W (W)", + pybamm.step.power(drive_cycle_power), "Rest for 30 minutes", ), ], - drive_cycles={ - "US06_A": drive_cycle_current, - "US06_W": drive_cycle_power, - }, ) model = pybamm.lithium_ion.DFN() diff --git a/examples/scripts/run_ecm.py b/examples/scripts/run_ecm.py index 0ca4e10484..4f15727865 100644 --- a/examples/scripts/run_ecm.py +++ b/examples/scripts/run_ecm.py @@ -7,13 +7,13 @@ experiment = pybamm.Experiment( [ ( - "Discharge at C/10 for 10 hours or until 3.3 V at 15oC", - "Rest for 30 minutes at 15oC", - "Rest for 2 hours at 35oC", - "Charge at 100 A until 4.1 V at 35oC (1 second period)", - "Hold at 4.1 V until 5 A at 35oC (1 seconds period)", - "Rest for 30 minutes at 35oC", - "Rest for 1 hour at 25oC", + "Discharge at C/10 for 10 hours or until 3.3 V", + "Rest for 30 minutes", + "Rest for 2 hours", + "Charge at 100 A until 4.1 V", + "Hold at 4.1 V until 5 A", + "Rest for 30 minutes", + "Rest for 1 hour", ), ] ) diff --git a/noxfile.py b/noxfile.py new file mode 100644 index 0000000000..61c642b7fd --- /dev/null +++ b/noxfile.py @@ -0,0 +1,127 @@ +import nox +import os +import sys + + +@nox.session(name="pybamm-requires") +def run_pybamm_requires(session): + homedir = os.getenv("HOME") + session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") + session.env[ + "LD_LIBRARY_PATH" + ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" + if sys.platform != "win32" or sys.platform != "darwin": + session.install("wget", "cmake") + session.run("python", "scripts/install_KLU_Sundials.py") + session.run( + "git", + "clone", + "https://github.com/pybind/pybind11.git", + "pybind11/", + external=True, + ) + + +@nox.session(name="coverage") +def run_coverage(session): + homedir = os.getenv("HOME") + session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") + session.env[ + "LD_LIBRARY_PATH" + ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" + session.install("coverage") + session.run("pip", "install", "-e", ".") + if sys.platform != "win32" or sys.platform != "darwin": + session.install("scikits.odes") + session.run("pybamm_install_jax") + session.run("coverage", "run", "--rcfile=.coveragerc", "run-tests.py", "--nosub") + session.run("coverage", "combine") + session.run("coverage", "xml") + + +@nox.session(name="integration", reuse_venv=True) +def run_integration(session): + homedir = os.getenv("HOME") + session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") + session.env[ + "LD_LIBRARY_PATH" + ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" + session.run("pip", "install", "-e", ".") + if sys.platform == "linux": + session.install("scikits.odes") + session.run("python", "run-tests.py", "--integration") + + +@nox.session(name="doctests", reuse_venv=True) +def run_doctests(session): + session.run("pip", "install", "-e", ".[docs]") + session.run("python", "run-tests.py", "--doctest") + + +@nox.session(name="unit", reuse_venv=True) +def run_unit(session): + homedir = os.getenv("HOME") + session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") + session.env[ + "LD_LIBRARY_PATH" + ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" + session.run("pip", "install", "-e", ".") + if sys.platform == "linux": + session.run("pybamm_install_jax") + session.install("scikits.odes") + session.run("python", "run-tests.py", "--unit") + + +@nox.session(name="examples", reuse_venv=True) +def run_examples(session): + session.run("pip", "install", "-e", ".[dev]") + session.run("python", "run-tests.py", "--examples") + + +@nox.session(name="dev", reuse_venv=True) +def set_dev(session): + homedir = os.getenv("HOME") + LD_LIBRARY_PATH = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" + envbindir = session.bin + session.run("pip", "install", "-e", ".[dev]") + session.install("cmake") + session.run( + "echo", + "export", + f"LD_LIBRARY_PATH={LD_LIBRARY_PATH}", + ">>", + f"{envbindir}/activate", + ) + + +@nox.session(name="tests", reuse_venv=True) +def run_tests(session): + homedir = os.getenv("HOME") + session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") + session.env[ + "LD_LIBRARY_PATH" + ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" + session.run("pip", "install", "-e", ".") + if sys.platform == "linux": + session.run("pybamm_install_jax") + session.install("scikits.odes") + session.run("python", "run-tests.py", "--all") + + +@nox.session(name="docs", reuse_venv=True) +def build_docs(session): + envbindir = session.bin + session.run("pip", "install", "-e", ".") + session.install( + "sphinx>=1.5", + "pydata-sphinx-theme", + "sphinx-autobuild", + "sphinx_design", + "sphinx-copybutton", + "myst-parser", + "sphinx-inline-tabs", + ) + session.chdir("docs/") + session.run( + "sphinx-autobuild", "--open-browser", "-qT", ".", f"{envbindir}/../tmp/html" + ) diff --git a/pybamm/__init__.py b/pybamm/__init__.py index 31c69141f5..6c2636ba51 100644 --- a/pybamm/__init__.py +++ b/pybamm/__init__.py @@ -219,8 +219,9 @@ # # Experiments # -from .experiments.experiment import Experiment -from . import experiments +from .experiment.experiment import Experiment +from . import experiment + # # Plotting diff --git a/pybamm/citations.py b/pybamm/citations.py index f236da8d71..5dee86a628 100644 --- a/pybamm/citations.py +++ b/pybamm/citations.py @@ -1,12 +1,13 @@ # # Bibliographical information for PyBaMM # Inspired by firedrake/PETSc citation workflow -# https://www.firedrakeproject.org/citing.html +# https://firedrakeproject.org/citing.html # import pybamm import os import warnings import pybtex +from sys import _getframe from pybtex.database import parse_file, parse_string, Entry from pybtex.scanner import PybtexError @@ -35,6 +36,12 @@ def __init__(self): # Dict mapping citations keys to BibTex entries self._all_citations: dict[str, str] = dict() + # Set of unknown citations to parse with pybtex + self._unknown_citations = set() + + # Dict mapping citation tags for use when registering citations + self._citation_tags = dict() + # store citation error self._citation_err_msg = None @@ -48,10 +55,23 @@ def _reset(self): """Reset citations to default only (only for testing purposes)""" # Initialize empty papers to cite self._papers_to_cite = set() - # Register the PyBaMM paper and the numpy paper + # Initialize empty set of unknown citations + self._unknown_citations = set() + # Initialize empty citation tags + self._citation_tags = dict() + # Register the PyBaMM paper and the NumPy paper self.register("Sulzer2021") self.register("Harris2020") + def _caller_name(): + """ + Returns the qualified name of classes that call :meth:`register` internally. + Gets cached in order to reduce the number of calls. + """ + # Attributed to https://stackoverflow.com/a/53490973 + caller_name = _getframe().f_back.f_back.f_locals["self"].__class__.__qualname__ + return caller_name + def read_citations(self): """Reads the citations in `pybamm.CITATIONS.txt`. Other works can be cited by passing a BibTeX citation to :meth:`register`. @@ -70,7 +90,7 @@ def _add_citation(self, key, entry): if not isinstance(key, str) or not isinstance(entry, Entry): raise TypeError() - # Warn if overwriting an previous citation + # Warn if overwriting a previous citation new_citation = entry.to_string("bibtex") if key in self._all_citations and new_citation != self._all_citations[key]: warnings.warn(f"Replacing citation for {key}") @@ -78,14 +98,20 @@ def _add_citation(self, key, entry): # Add to database self._all_citations[key] = new_citation + def _add_citation_tag(self, key, entry): + """Adds a tag for a citation key in the dict, which represents the name of the + class that called :meth:`register`""" + self._citation_tags[key] = entry + @property def _cited(self): """Return a list of the BibTeX entries that have been cited""" return [self._all_citations[key] for key in self._papers_to_cite] def register(self, key): - """Register a paper to be cited. The intended use is that :meth:`register` - should be called only when the referenced functionality is actually being used. + """Register a paper to be cited, one at a time. The intended use is that + :meth:`register` should be called only when the referenced functionality is + actually being used. .. warning:: Registering a BibTeX citation, with the same key as an existing citation, @@ -95,39 +121,113 @@ def register(self, key): ---------- key : str - The citation key for an entry in `pybamm/CITATIONS.txt` or - - One or more BibTeX formatted citations + - A BibTeX formatted citation """ if self._citation_err_msg is None: # Check if citation is a known key if key in self._all_citations: + self._papers_to_cite.add(key) + # Add citation tags for the key for verbose output, but + # don't if they already exist in _citation_tags dict + if key not in self._citation_tags: + try: + caller = Citations._caller_name() + self._add_citation_tag(key, entry=caller) + # Don't add citation tags if the citation is registered manually + except KeyError: # pragma: no cover + pass + else: + # If citation is unknown, parse it later with pybtex + self._unknown_citations.add(key) + return + + def _parse_citation(self, key): + """ + Parses a citation with pybtex and adds it to the _papers_to_cite set. This + method is called when a citation is unknown at the time of registration. + + Parameters + ---------- + key: str + A BibTeX formatted citation + """ + try: + # Parse string as a bibtex citation, and check that a citation was found + bib_data = parse_string(key, bib_format="bibtex") + if not bib_data.entries: + raise PybtexError("no entries found") + + # Add and register all citations + for key, entry in bib_data.entries.items(): + # Add to _all_citations dictionary + self._add_citation(key, entry) + # Add to _papers_to_cite set self._papers_to_cite.add(key) return + except PybtexError: + # Unable to parse / unknown key + raise KeyError(f"Not a bibtex citation or known citation: {key}") - # Try to parse the citation using pybtex - try: - # Parse string as a bibtex citation, and check that a citation was found - bib_data = parse_string(key, bib_format="bibtex") - if not bib_data.entries: - raise PybtexError("no entries found") - - # Add and register all citations - for key, entry in bib_data.entries.items(): - self._add_citation(key, entry) - self.register(key) - return - except PybtexError: - # Unable to parse / unknown key - raise KeyError(f"Not a bibtex citation or known citation: {key}") - - def print(self, filename=None, output_format="text"): - """Print all citations that were used for running simulations. + def _tag_citations(self): + """Prints the citation tags for the citations that have been registered + (non-manually) in the code, for verbose output purposes + """ + if self._citation_tags: # pragma: no cover + print("\nCitations registered: \n") + for key, entry in self._citation_tags.items(): + print(f"{key} was cited due to the use of {entry}") + + def print(self, filename=None, output_format="text", verbose=False): + """Print all citations that were used for running simulations. The verbose + option is provided to print tags for citations in the output such that it can + can be seen where the citations were registered due to the use of PyBaMM models + and solvers in the code. + + .. note:: + If a citation is registered manually, it will not be tagged. + + .. warning:: + This function will notify the user if a citation that has been previously + registered is invalid or cannot be parsed. Parameters ---------- filename : str, optional - Filename to which to print citations. If None, citations are printed to the - terminal. + Filename to which to print citations. If None, citations are printed + to the terminal. + verbose: bool, optional + If True, prints the citation tags for the citations that have been + registered. An example of the output is shown below. + + Examples + -------- + .. code-block:: python + + pybamm.lithium_ion.SPM() + pybamm.Citations.print(verbose=True) or pybamm.print_citations(verbose=True) + + will append the following at the end of the list of citations: + + .. code-block:: + + Citations registered: + + Marquis2019 was cited due to the use of SPM + """ + # Parse citations that were not known keys at registration, but do not + # fail if they cannot be parsed + try: + for key in self._unknown_citations: + self._parse_citation(key) + except KeyError: # pragma: no cover + warnings.warn( + message=f'\nCitation with key "{key}" is invalid. Please try again\n', + category=UserWarning, + ) + # delete the invalid citation from the set + self._unknown_citations.remove(key) + if output_format == "text": citations = pybtex.format_from_strings( self._cited, style="plain", output_backend="plaintext" @@ -142,12 +242,14 @@ def print(self, filename=None, output_format="text"): if filename is None: print(citations) + if verbose: + self._tag_citations() # pragma: no cover else: with open(filename, "w") as f: f.write(citations) -def print_citations(filename=None, output_format="text"): +def print_citations(filename=None, output_format="text", verbose=False): """See :meth:`Citations.print`""" if citations._citation_err_msg is not None: raise ImportError( @@ -159,7 +261,15 @@ def print_citations(filename=None, output_format="text"): f"{citations._citation_err_msg}" ) else: - pybamm.citations.print(filename, output_format) + if verbose: # pragma: no cover + if filename is not None: # pragma: no cover + raise Exception( + "Verbose output is available only for the terminal and not for printing to files", # noqa: E501 + ) + else: + citations.print(filename, output_format, verbose=True) + else: + pybamm.citations.print(filename, output_format) citations = Citations() diff --git a/pybamm/experiments/__init__.py b/pybamm/experiment/__init__.py similarity index 100% rename from pybamm/experiments/__init__.py rename to pybamm/experiment/__init__.py diff --git a/pybamm/experiment/experiment.py b/pybamm/experiment/experiment.py new file mode 100644 index 0000000000..edcaeb8f58 --- /dev/null +++ b/pybamm/experiment/experiment.py @@ -0,0 +1,220 @@ +# +# Experiment class +# + +import pybamm +from pybamm.step._steps_util import ( + _convert_time_to_seconds, + _convert_temperature_to_kelvin, +) + + +class Experiment: + """ + Base class for experimental conditions under which to run the model. In general, a + list of operating conditions should be passed in. Each operating condition should + be either a `pybamm.step._Step` class, created using one of the methods + `pybamm.step.current`, `pybamm.step.c_rate`, `pybamm.step.voltage` + , `pybamm.step.power`, `pybamm.step.resistance`, or + `pybamm.step.string`, or a string, in which case the string is passed to + `pybamm.step.string`. + + Parameters + ---------- + operating_conditions : list + List of operating conditions + period : string, optional + Period (1/frequency) at which to record outputs. Default is 1 minute. Can be + overwritten by individual operating conditions. + temperature: float, optional + The ambient air temperature in degrees Celsius at which to run the experiment. + Default is None whereby the ambient temperature is taken from the parameter set. + This value is overwritten if the temperature is specified in a step. + termination : list, optional + List of conditions under which to terminate the experiment. Default is None. + This is different from the termination for individual steps. Termination for + individual steps is specified in the step itself, and the simulation moves to + the next step when the termination condition is met + (e.g. 2.5V discharge cut-off). Termination for the + experiment as a whole is specified here, and the simulation stops when the + termination condition is met (e.g. 80% capacity). + """ + + def __init__( + self, + operating_conditions, + period="1 minute", + temperature=None, + termination=None, + drive_cycles=None, + cccv_handling=None, + ): + if cccv_handling is not None: + raise ValueError( + "cccv_handling has been deprecated, use " + "`pybamm.step.cccv_ode(current, voltage)` instead to produce the " + "same behavior as the old `cccv_handling='ode'`" + ) + if drive_cycles is not None: + raise ValueError( + "drive_cycles should now be passed as an experiment step object, e.g. " + "`pybamm.step.current(drive_cycle)`" + ) + # Save arguments for copying + self.args = ( + operating_conditions, + period, + temperature, + termination, + ) + + self.datetime_formats = [ + "Day %j %H:%M:%S", + "%Y-%m-%d %H:%M:%S", + ] + + operating_conditions_cycles = [] + for cycle in operating_conditions: + # Check types and convert to list + if not isinstance(cycle, tuple): + cycle = (cycle,) + operating_conditions_cycles.append(cycle) + + self.operating_conditions_cycles = operating_conditions_cycles + self.cycle_lengths = [len(cycle) for cycle in operating_conditions_cycles] + + operating_conditions_steps_unprocessed = self._set_next_start_time( + [cond for cycle in operating_conditions_cycles for cond in cycle] + ) + + # Convert strings to pybamm.step._Step objects + # We only do this once per unique step, do avoid unnecessary conversions + unique_steps_unprocessed = set(operating_conditions_steps_unprocessed) + processed_steps = {} + for step in unique_steps_unprocessed: + if isinstance(step, str): + processed_steps[step] = pybamm.step.string(step) + elif isinstance(step, pybamm.step._Step): + processed_steps[step] = step + + # Save the processed unique steps and the processed operating conditions + # for every step + self.unique_steps = set(processed_steps.values()) + self.operating_conditions_steps = [ + processed_steps[step] for step in operating_conditions_steps_unprocessed + ] + + self.initial_start_time = self.operating_conditions_steps[0].start_time + + if ( + self.operating_conditions_steps[0].end_time is not None + and self.initial_start_time is None + ): + raise ValueError( + "When using experiments with `start_time`, the first step must have a " + "`start_time`." + ) + + self.termination_string = termination + self.termination = self.read_termination(termination) + + # Modify steps with period and temperature in place + self.period = _convert_time_to_seconds(period) + self.temperature = _convert_temperature_to_kelvin(temperature) + for step in self.unique_steps: + if step.period is None: + step.period = self.period + if step.temperature is None: + step.temperature = self.temperature + + def __str__(self): + return str(self.operating_conditions_cycles) + + def copy(self): + return Experiment(*self.args) + + def __repr__(self): + return "pybamm.Experiment({!s})".format(self) + + def read_termination(self, termination): + """ + Read the termination reason. If this condition is hit, the experiment will stop. + """ + if termination is None: + return {} + elif isinstance(termination, str): + termination = [termination] + + termination_dict = {} + for term in termination: + term_list = term.split() + if term_list[-1] == "capacity": + end_discharge = "".join(term_list[:-1]) + end_discharge = end_discharge.replace("A.h", "Ah") + if end_discharge.endswith("%"): + end_discharge_percent = end_discharge.split("%")[0] + termination_dict["capacity"] = (float(end_discharge_percent), "%") + elif end_discharge.endswith("Ah"): + end_discharge_Ah = end_discharge.split("Ah")[0] + termination_dict["capacity"] = (float(end_discharge_Ah), "Ah") + else: + raise ValueError( + "Capacity termination must be given in the form " + "'80%', '4Ah', or '4A.h'" + ) + elif term.endswith("V"): + end_discharge_V = term.split("V")[0] + termination_dict["voltage"] = (float(end_discharge_V), "V") + else: + raise ValueError( + "Only capacity or voltage can be provided as a termination reason, " + "e.g. '80% capacity', '4 Ah capacity', or '2.5 V'" + ) + return termination_dict + + def search_tag(self, tag): + """ + Search for a tag in the experiment and return the cycles in which it appears. + + Parameters + ---------- + tag : str + The tag to search for + + Returns + ------- + list + A list of cycles in which the tag appears + """ + cycles = [] + for i, cycle in enumerate(self.operating_conditions_cycles): + for step in cycle: + if tag in step.tags: + cycles.append(i) + break + + return cycles + + def _set_next_start_time(self, operating_conditions): + if all(isinstance(i, str) for i in operating_conditions): + return operating_conditions + + end_time = None + next_start_time = None + + for op in reversed(operating_conditions): + if isinstance(op, str): + op = pybamm.step.string(op) + elif not isinstance(op, pybamm.step._Step): + raise TypeError( + "Operating conditions should be strings or _Step objects" + ) + + op.next_start_time = next_start_time + op.end_time = end_time + + next_start_time = op.start_time + if next_start_time: + end_time = next_start_time + + return operating_conditions diff --git a/pybamm/experiments/experiment.py b/pybamm/experiments/experiment.py deleted file mode 100644 index 67144db028..0000000000 --- a/pybamm/experiments/experiment.py +++ /dev/null @@ -1,529 +0,0 @@ -# -# Experiment class -# - -import numpy as np -import re - - -examples = """ - - "Discharge at 1C for 0.5 hours at 27oC", - "Discharge at C/20 for 0.5 hours at 29oC", - "Charge at 0.5 C for 45 minutes at -5oC", - "Discharge at 1 A for 0.5 hours at -5.1oC", - "Charge at 200 mA for 45 minutes at 10.2oC (1 minute period)", - "Discharge at 1W for 0.5 hours at -10.4oC", - "Charge at 200mW for 45 minutes", - "Rest for 10 minutes (5 minute period)", - "Hold at 1V for 20 seconds", - "Charge at 1 C until 4.1V", - "Hold at 4.1 V until 50mA", - "Hold at 3V until C/50", - "Discharge at C/3 for 2 hours or until 2.5 V at 26oC", - "Run US06 (A) at -5oC", - "Run US06 (V) for 5 minutes", - "Run US06 (W) for 0.5 hours", - - """ - - -class Experiment: - """ - Base class for experimental conditions under which to run the model. In general, a - list of operating conditions should be passed in. Each operating condition should - be of the form "Do this for this long" or "Do this until this happens". For example, - "Charge at 1 C for 1 hour", or "Charge at 1 C until 4.2 V", or "Charge at 1 C for 1 - hour or until 4.2 V at 25oC". The instructions can be of the form - "(Dis)charge at x A/C/W", "Rest", or "Hold at x V until y A at z oC". The running - time should be a time in seconds, minutes or - hours, e.g. "10 seconds", "3 minutes" or "1 hour". The stopping conditions should be - a circuit state, e.g. "1 A", "C/50" or "3 V". The parameter drive_cycles is - mandatory to run drive cycle. For example, "Run x", then x must be the key - of drive_cycles dictionary. The temperature should be provided after the stopping - condition but before the period, e.g. "1 A at 25 oC (1 second period)". It is - not essential to provide a temperature and a global temperature can be set either - from within the paramter values of passing a temperature to this experiment class. - If the temperature is not specified in a line, then the global temperature is used, - even if another temperature has been set in an earlier line. - - Parameters - ---------- - operating_conditions : list - List of operating conditions - period : string, optional - Period (1/frequency) at which to record outputs. Default is 1 minute. Can be - overwritten by individual operating conditions. - temperature: float, optional - The ambient air temperature in degrees Celsius at which to run the experiment. - Default is None whereby the ambient temperature is taken from the parameter set. - This value is overwritten if the temperature is specified in a step. - termination : list, optional - List of conditions under which to terminate the experiment. Default is None. - drive_cycles : dict - Dictionary of drive cycles to use for this experiment. - cccv_handling : str, optional - How to handle CCCV. If "two-step" (default), then the experiment is run in - two steps (CC then CV). If "ode", then the experiment is run in a single step - using an ODE for current: see - :class:`pybamm.external_circuit.CCCVFunctionControl` for details. - """ - - def __init__( - self, - operating_conditions, - period="1 minute", - temperature=None, - termination=None, - drive_cycles={}, - cccv_handling="two-step", - ): - if cccv_handling not in ["two-step", "ode"]: - raise ValueError("cccv_handling should be either 'two-step' or 'ode'") - self.cccv_handling = cccv_handling - # Save arguments for copying - self.args = ( - operating_conditions, - period, - temperature, - termination, - drive_cycles, - cccv_handling, - ) - - self.period = self.convert_time_to_seconds(period.split()) - self.temperature = temperature - - operating_conditions_cycles = [] - for cycle in operating_conditions: - # Check types and convert strings to 1-tuples - if (isinstance(cycle, tuple) or isinstance(cycle, str)) and all( - [isinstance(cond, str) for cond in cycle] - ): - if isinstance(cycle, str): - processed_cycle = (cycle,) - else: - processed_cycle = [] - idx = 0 - finished = False - while not finished: - step = cycle[idx] - if idx < len(cycle) - 1: - next_step = cycle[idx + 1] - else: - next_step = None - finished = True - if self.is_cccv(step, next_step): - processed_cycle.append( - f"{step} then {next_step[0].lower()}{next_step[1:]}" - ) - idx += 2 - else: - processed_cycle.append(step) - idx += 1 - if idx >= len(cycle): - finished = True - operating_conditions_cycles.append(tuple(processed_cycle)) - else: - try: - # Condition is not a string - badly_typed_conditions = [ - cond for cond in cycle if not isinstance(cond, str) - ] - except TypeError: - # Cycle is not a tuple or string - badly_typed_conditions = [] - badly_typed_conditions = badly_typed_conditions or [cycle] - raise TypeError( - "Operating conditions should be strings or tuples of strings, not " - f"{type(badly_typed_conditions[0])}. For example: {examples}" - ) - self.cycle_lengths = [len(cycle) for cycle in operating_conditions_cycles] - operating_conditions = [ - cond for cycle in operating_conditions_cycles for cond in cycle - ] - self.operating_conditions_cycles = operating_conditions_cycles - self.operating_conditions_strings = operating_conditions - self.operating_conditions = [ - self.read_string(cond, drive_cycles) for cond in operating_conditions - ] - - self.termination_string = termination - self.termination = self.read_termination(termination) - - def __str__(self): - return str(self.operating_conditions_cycles) - - def copy(self): - return Experiment(*self.args) - - def __repr__(self): - return "pybamm.Experiment({!s})".format(self) - - def read_string(self, cond, drive_cycles): - """ - Convert a string to a dictionary of the right format - - Parameters - ---------- - cond : str - String of appropriate form for example "Charge at x C for y hours". x and y - must be numbers, 'C' denotes the unit of the external circuit (can be A for - current, C for C-rate, V for voltage or W for power), and 'hours' denotes - the unit of time (can be second(s), minute(s) or hour(s)) - drive_cycles: dict - A map specifying the drive cycles - """ - if " then " in cond: - # If the string contains " then ", then this is a two-step CCCV experiment - # and we need to split it into two strings - cond_CC, cond_CV = cond.split(" then ") - op_CC = self.read_string(cond_CC, drive_cycles) - op_CV = self.read_string(cond_CV, drive_cycles) - - if op_CC["temperature"] != op_CV["temperature"]: - raise ValueError( - "The temperature for the CC and CV steps must be the same." - f"Got {op_CC['temperature']} and {op_CV['temperature']}" - f"from {op_CC['string']} and {op_CV['string']}" - ) - - tag_CC = op_CC["tags"] or [] - tag_CV = op_CV["tags"] or [] - tags = list(np.unique(tag_CC + tag_CV)) - if len(tags) == 0: - tags = None - - outputs = { - "type": "CCCV", - "Voltage input [V]": op_CV["Voltage input [V]"], - "time": op_CV["time"], - "period": op_CV["period"], - "temperature": op_CC["temperature"], - "dc_data": None, - "string": cond, - "events": op_CV["events"], - "tags": tags, - } - if "Current input [A]" in op_CC: - outputs["Current input [A]"] = op_CC["Current input [A]"] - else: - outputs["C-rate input [-]"] = op_CC["C-rate input [-]"] - return outputs - - # Read tags - if " [" in cond: - cond, tag_str = cond.split(" [") - tags = tag_str[0:-1].split(",") - else: - tags = None - - # Read period - if " period)" in cond: - cond, time_period = cond.split(" (") - time, _ = time_period.split(" period)") - period = self.convert_time_to_seconds(time.split()) - else: - period = self.period - - # Temperature part of the condition is removed here - unprocessed_cond = cond - temperature, cond = self._read_and_drop_temperature(cond) - - # Read instructions - if "Run" in cond: - cond_list = cond.split() - if "at" in cond: - raise ValueError(f"Instruction must be of the form: {examples}") - dc_types = ["(A)", "(V)", "(W)"] - if all(x not in cond for x in dc_types): - raise ValueError( - "Type of drive cycle must be specified using '(A)', '(V)' or '(W)'." - f" For example: {examples}" - ) - else: - dc_data = drive_cycles[cond_list[1]] - # Check for Events - if "for" in cond: - # e.g. for 3 hours - idx = cond_list.index("for") - end_time = self.convert_time_to_seconds(cond_list[idx + 1 :]) - ext_drive_cycle = self.extend_drive_cycle(dc_data, end_time) - # Drive cycle as numpy array - dc_data = ext_drive_cycle - # Set time and period to 1 second for first step and - # then calculate the difference in consecutive time steps - time = dc_data[:, 0][-1] - period = np.min(np.diff(dc_data[:, 0])) - # Find the unit of drive cycle ("A", "V", or "W") - unit = cond_list[2][1] - electric = {"dc_data": dc_data, "unit": unit} - events = None - else: - dc_data = None - if "for" in cond and "or until" in cond: - # e.g. for 3 hours or until 4.2 V - cond_list = cond.split() - idx_for = cond_list.index("for") - idx_until = cond_list.index("or") - - electric = self.convert_electric(cond_list[:idx_for]) - - time = self.convert_time_to_seconds(cond_list[idx_for + 1 : idx_until]) - events = self.convert_electric(cond_list[idx_until + 2 :]) - - elif "for" in cond: - # e.g. for 3 hours - cond_list = cond.split() - idx = cond_list.index("for") - - electric = self.convert_electric(cond_list[:idx]) - time = self.convert_time_to_seconds(cond_list[idx + 1 :]) - events = None - elif "until" in cond: - # e.g. until 4.2 V - cond_list = cond.split() - idx = cond_list.index("until") - electric = self.convert_electric(cond_list[:idx]) - time = None - events = self.convert_electric(cond_list[idx + 1 :]) - else: - raise ValueError( - "Operating conditions must contain keyword 'for' or 'until' or " - f"'Run'. For example: {examples}" - ) - - self.unit_to_type(electric) - self.unit_to_type(events) - - return { - **electric, - "time": time, - "period": period, - "temperature": temperature, - "dc_data": dc_data, - "string": unprocessed_cond, - "events": events, - "tags": tags, - } - - def unit_to_type(self, electric): - if electric is not None: - unit = electric.pop("unit") - if unit == "C": - electric["type"] = "C-rate" - elif unit == "A": - electric["type"] = "current" - elif unit == "V": - electric["type"] = "voltage" - elif unit == "W": - electric["type"] = "power" - return electric - - def extend_drive_cycle(self, drive_cycle, end_time): - "Extends the drive cycle to enable for event" - temp_time = [] - temp_time.append(drive_cycle[:, 0]) - loop_end_time = temp_time[0][-1] - i = 1 - while loop_end_time <= end_time: - # Extend the drive cycle until the drive cycle time - # becomes greater than specified end time - temp_time.append( - np.append(temp_time[i - 1], temp_time[0] + temp_time[i - 1][-1] + 1) - ) - loop_end_time = temp_time[i][-1] - i += 1 - time = temp_time[-1] - drive_data = np.tile(drive_cycle[:, 1], i) - # Combine the drive cycle time and data - ext_drive_cycle = np.column_stack((time, drive_data)) - # Limit the drive cycle to the specified end_time - ext_drive_cycle = ext_drive_cycle[ext_drive_cycle[:, 0] <= end_time] - del temp_time - return ext_drive_cycle - - def convert_electric(self, electric): - """Convert electrical instructions to consistent output""" - # Rest == zero current - if electric[0].lower() == "rest": - return {"Current input [A]": 0, "unit": "A"} - else: - if len(electric) in [3, 4]: - if len(electric) == 4: - # e.g. Charge at 4 A, Hold at 3 V - instruction, _, value, unit = electric - value_unit = value + unit - elif len(electric) == 3: - # e.g. Discharge at C/2, Charge at 1A - instruction, _, value_unit = electric - # Read instruction - if instruction.lower() in ["discharge", "hold"]: - sign = 1 - elif instruction.lower() == "charge": - sign = -1 - else: - raise ValueError( - "Instruction must be 'discharge', 'charge', 'rest', 'hold' or " - f"'Run'. For example: {examples}" - "" - "The following instruction does not comply: " - f"{instruction}" - ) - elif len(electric) == 2: - # e.g. 3 A, 4.1 V - value, unit = electric - value_unit = value + unit - sign = 1 - elif len(electric) == 1: - # e.g. C/2, 1A - value_unit = electric[0] - sign = 1 - else: - raise ValueError( - """Instruction '{}' not recognized. Some acceptable examples are: {} - """.format( - " ".join(electric), examples - ) - ) - # e.g. C/2, 1A - if value_unit[0] == "C": - # e.g. C/2 - unit = value_unit[0] - value = 1 / float(value_unit[2:]) - else: - unit = value_unit[-1:] - if "m" in value_unit: - # e.g. 1mA - value = float(value_unit[:-2]) / 1000 - else: - # e.g. 1A - value = float(value_unit[:-1]) - # Read value and units - if unit == "C": - return {"C-rate input [-]": sign * float(value), "unit": unit} - elif unit == "A": - return {"Current input [A]": sign * float(value), "unit": unit} - elif unit == "V": - return {"Voltage input [V]": float(value), "unit": unit} - elif unit == "W": - return {"Power input [W]": sign * float(value), "unit": unit} - else: - raise ValueError( - """units must be 'C', 'A', 'mA', 'V', 'W' or 'mW', not '{}'. - For example: {} - """.format( - unit, examples - ) - ) - - def _read_and_drop_temperature(self, cond): - matches = re.findall(r"at\s-*\d+\.*\d*\s*oC", cond) - - if len(matches) == 0: - if "oC" in cond: - raise ValueError(f"Temperature not written correctly on step: '{cond}'") - temperature = self.temperature - reduced_cond = cond - - elif len(matches) == 1: - match = matches[0] - numerical_part = re.findall(r"-*\d+\.*\d*", match)[0] - temperature = float(numerical_part) - reduced_cond = cond.replace(match, "") - - else: - raise ValueError(f"More than one temperature found on step: '{cond}'") - - return temperature, reduced_cond - - def convert_time_to_seconds(self, time_and_units): - """Convert a time in seconds, minutes or hours to a time in seconds""" - time, units = time_and_units - if units in ["second", "seconds", "s", "sec"]: - time_in_seconds = float(time) - elif units in ["minute", "minutes", "m", "min"]: - time_in_seconds = float(time) * 60 - elif units in ["hour", "hours", "h", "hr"]: - time_in_seconds = float(time) * 3600 - else: - raise ValueError( - """time units must be 'seconds', 'minutes' or 'hours'. For example: {} - """.format( - examples - ) - ) - return time_in_seconds - - def read_termination(self, termination): - """ - Read the termination reason. If this condition is hit, the experiment will stop. - """ - if termination is None: - return {} - elif isinstance(termination, str): - termination = [termination] - - termination_dict = {} - for term in termination: - term_list = term.split() - if term_list[-1] == "capacity": - end_discharge = "".join(term_list[:-1]) - if end_discharge.endswith("%"): - end_discharge_percent = end_discharge.split("%")[0] - termination_dict["capacity"] = (float(end_discharge_percent), "%") - elif end_discharge.endswith("Ah"): - end_discharge_Ah = end_discharge.split("Ah")[0] - termination_dict["capacity"] = (float(end_discharge_Ah), "Ah") - elif end_discharge.endswith("A.h"): - end_discharge_Ah = end_discharge.split("A.h")[0] - termination_dict["capacity"] = (float(end_discharge_Ah), "Ah") - else: - raise ValueError( - "Capacity termination must be given in the form " - "'80%', '4Ah', or '4A.h'" - ) - elif term.endswith("V"): - end_discharge_V = term.split("V")[0] - termination_dict["voltage"] = (float(end_discharge_V), "V") - else: - raise ValueError( - "Only capacity or voltage can be provided as a termination reason, " - "e.g. '80% capacity', '4 Ah capacity', or '2.5 V'" - ) - return termination_dict - - def is_cccv(self, step, next_step): - """ - Check whether a step and the next step indicate a CCCV charge - """ - if self.cccv_handling == "two-step" or next_step is None: - return False - # e.g. step="Charge at 2.0 A until 4.2V" - # next_step="Hold at 4.2V until C/50" - if ( - (step.startswith("Charge") or step.startswith("Discharge")) - and "until" in step - and "V" in step - and "Hold at " in next_step - and "V until" in next_step - ): - op = self.read_string(step, None) - next_op = self.read_string(next_step, None) - # Check that the event conditions are the same as the hold conditions - if op["events"] == {k: v for k, v in next_op.items() if k in op["events"]}: - return True - return False - - def search_tag(self, tag): - cycles = [] - for i, cycle in enumerate(self.operating_conditions_cycles): - for cond in cycle: - if " [" in cond: - cond, tag_str = cond.split(" [") - tags = tag_str[0:-1].split(",") - if tag in tags: - cycles.append(i) - break - - return cycles diff --git a/pybamm/install_odes.py b/pybamm/install_odes.py index fd4bf7a263..424367c6ba 100644 --- a/pybamm/install_odes.py +++ b/pybamm/install_odes.py @@ -68,11 +68,12 @@ def install_sundials(download_dir, install_dir): subprocess.run( ["cmake", "../sundials-{}".format(sundials_version)] + cmake_args, cwd=build_directory, + check=True, ) print("-" * 10, "Building the sundials", "-" * 40) make_cmd = ["make", "install"] - subprocess.run(make_cmd, cwd=build_directory) + subprocess.run(make_cmd, cwd=build_directory, check=True) def update_LD_LIBRARY_PATH(install_dir): @@ -169,7 +170,7 @@ def main(arguments=None): # see https://scikits-odes.readthedocs.io/en/latest/installation.html#id1 os.environ["SUNDIALS_INST"] = SUNDIALS_LIB_DIR env = os.environ.copy() - subprocess.run(["pip", "install", "scikits.odes"], env=env) + subprocess.run(["pip", "install", "scikits.odes"], env=env, check=True) if __name__ == "__main__": diff --git a/pybamm/parameters/bpx.py b/pybamm/parameters/bpx.py index b1e73caeec..8f555fa9a8 100644 --- a/pybamm/parameters/bpx.py +++ b/pybamm/parameters/bpx.py @@ -5,7 +5,6 @@ import numpy as np from pybamm import constants from pybamm import exp -import copy import types @@ -44,6 +43,18 @@ class Domain: pre_name="Positive electrode ", short_pre_name="Positive ", ) +positive_current_collector = Domain( + name="positive current collector", + pre_name="Positive current collector ", + short_pre_name="", +) + +negative_current_collector = Domain( + name="negative current collector", + pre_name="Negative current collector ", + short_pre_name="", +) + electrolyte = Domain(name="electrolyte", pre_name="Electrolyte ", short_pre_name="") separator = Domain(name="separator", pre_name="Separator ", short_pre_name="") experiment = Domain(name="experiment", pre_name="", short_pre_name="") @@ -114,11 +125,41 @@ def _bpx_to_param_dict(bpx: BPX) -> dict: "Density [kg.m-3]", "Thermal conductivity [W.m-1.K-1]", ]: - for domain in [negative_electrode, positive_electrode, separator]: + for domain in [ + negative_electrode, + positive_electrode, + separator, + negative_current_collector, + positive_current_collector, + ]: pybamm_name = domain.pre_name + name[:1].lower() + name[1:] if name in pybamm_dict: pybamm_dict[pybamm_name] = pybamm_dict[name] + # correct BPX specific heat capacity units to be consistent with pybamm + for domain in [ + negative_electrode, + positive_electrode, + separator, + negative_current_collector, + positive_current_collector, + ]: + incorrect_name = domain.pre_name + "specific heat capacity [J.K-1.kg-1]" + new_name = domain.pre_name + "specific heat capacity [J.kg-1.K-1]" + if incorrect_name in pybamm_dict: + pybamm_dict[new_name] = pybamm_dict[incorrect_name] + del pybamm_dict[incorrect_name] + + # lumped thermal model requires current collector parameters. Arbitrarily assign + for domain in [negative_current_collector, positive_current_collector]: + pybamm_dict[domain.pre_name + "thickness [m]"] = 0 + pybamm_dict[domain.pre_name + "conductivity [S.m-1]"] = 4e7 + + # add a default heat transfer coefficient + pybamm_dict.update( + {"Total heat transfer coefficient [W.m-2.K-1]": 0}, check_already_exists=False + ) + # BET surface area for domain in [negative_electrode, positive_electrode]: pybamm_dict[domain.pre_name + "active material volume fraction"] = ( @@ -134,39 +175,73 @@ def _bpx_to_param_dict(bpx: BPX) -> dict: # TODO: allow setting function parameters in a loop over domains + # ocp + + # negative electrode (only need to check for data, other cases pass through) + U_n = pybamm_dict[negative_electrode.pre_name + "OCP [V]"] + if isinstance(U_n, tuple): + + def _negative_electrode_ocp(sto): + name, (x, y) = U_n + return pybamm.Interpolant(x, y, sto, name=name, interpolator="linear") + + pybamm_dict[negative_electrode.pre_name + "OCP [V]"] = _negative_electrode_ocp + + # positive electrode (only need to check for data, other cases pass through) + U_p = pybamm_dict[positive_electrode.pre_name + "OCP [V]"] + if isinstance(U_p, tuple): + + def _positive_electrode_ocp(sto): + name, (x, y) = U_p + return pybamm.Interpolant(x, y, sto, name=name, interpolator="linear") + + pybamm_dict[positive_electrode.pre_name + "OCP [V]"] = _positive_electrode_ocp + # entropic change # negative electrode - U_n = pybamm_dict[ + dUdT_n = pybamm_dict[ negative_electrode.pre_name + "entropic change coefficient [V.K-1]" ] - if callable(U_n): + if callable(dUdT_n): + + def _negative_electrode_entropic_change(sto, c_s_max): + return dUdT_n(sto) + + elif isinstance(dUdT_n, tuple): def _negative_electrode_entropic_change(sto, c_s_max): - return U_n(sto) + name, (x, y) = dUdT_n + return pybamm.Interpolant(x, y, sto, name=name, interpolator="linear") else: def _negative_electrode_entropic_change(sto, c_s_max): - return U_n + return dUdT_n pybamm_dict[ negative_electrode.pre_name + "OCP entropic change [V.K-1]" ] = _negative_electrode_entropic_change # positive electrode - U_p = pybamm_dict[ + dUdT_p = pybamm_dict[ positive_electrode.pre_name + "entropic change coefficient [V.K-1]" ] - if callable(U_p): + if callable(dUdT_p): def _positive_electrode_entropic_change(sto, c_s_max): - return U_p(sto) + return dUdT_p(sto) + + elif isinstance(dUdT_p, tuple): + + def _positive_electrode_entropic_change(sto, c_s_max): + name, (x, y) = dUdT_p + return pybamm.Interpolant(x, y, sto, name=name, interpolator="linear") else: def _positive_electrode_entropic_change(sto, c_s_max): - return U_p + return dUdT_p pybamm_dict[ positive_electrode.pre_name + "OCP entropic change [V.K-1]" @@ -252,6 +327,15 @@ def _negative_electrode_diffusivity(sto, T): arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) return arrhenius * D_n_ref(sto) + elif isinstance(D_n_ref, tuple): + + def _negative_electrode_diffusivity(sto, T): + arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) + name, (x, y) = D_n_ref + return arrhenius * pybamm.Interpolant( + x, y, sto, name=name, interpolator="linear" + ) + else: def _negative_electrode_diffusivity(sto, T): @@ -274,6 +358,15 @@ def _positive_electrode_diffusivity(sto, T): arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) return arrhenius * D_p_ref(sto) + elif isinstance(D_p_ref, tuple): + + def _positive_electrode_diffusivity(sto, T): + arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) + name, (x, y) = D_p_ref + return arrhenius * pybamm.Interpolant( + x, y, sto, name=name, interpolator="linear" + ) + else: def _positive_electrode_diffusivity(sto, T): @@ -296,6 +389,15 @@ def _electrolyte_diffusivity(sto, T): arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) return arrhenius * D_e_ref(sto) + elif isinstance(D_e_ref, tuple): + + def _electrolyte_diffusivity(sto, T): + arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) + name, (x, y) = D_e_ref + return arrhenius * pybamm.Interpolant( + x, y, sto, name=name, interpolator="linear" + ) + else: def _electrolyte_diffusivity(sto, T): @@ -310,23 +412,28 @@ def _electrolyte_diffusivity(sto, T): E_a = pybamm_dict.get( electrolyte.pre_name + "conductivity activation energy [J.mol-1]", 0.0 ) - C_ref_value = pybamm_dict[electrolyte.pre_name + "conductivity [S.m-1]"] + C_e_ref = pybamm_dict[electrolyte.pre_name + "conductivity [S.m-1]"] + + if callable(C_e_ref): - if callable(C_ref_value): - C_ref_fun = copy.copy(C_ref_value) + def _conductivity(c_e, T): + arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) + return arrhenius * C_e_ref(c_e) + + elif isinstance(C_e_ref, tuple): def _conductivity(c_e, T): - C_ref = C_ref_fun(c_e) arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) - return arrhenius * C_ref + name, (x, y) = C_e_ref + return arrhenius * pybamm.Interpolant( + x, y, c_e, name=name, interpolator="linear" + ) else: - C_ref_number = C_ref_value def _conductivity(c_e, T): - C_ref = C_ref_number arrhenius = exp(E_a / constants.R * (1 / T_ref - 1 / T)) - return arrhenius * C_ref + return arrhenius * C_e_ref pybamm_dict[electrolyte.pre_name + "conductivity [S.m-1]"] = _copy_func( _conductivity @@ -346,12 +453,12 @@ def _bpx_to_domain_param_dict(instance: BPX, pybamm_dict: dict, domain: Domain) elif isinstance(value, Function): value = value.to_python_function(preamble=preamble) elif isinstance(value, InterpolatedTable): + # return (name, (x, y)) to match the output of + # `pybamm.parameters.process_1D_data` we will create an interpolant on a + # case-by-case basis to get the correct argument for each parameter x = np.array(value.x) y = np.array(value.y) - interpolator = "linear" - value = pybamm.Interpolant( - [x], y, pybamm.t, name=name, interpolator=interpolator - ) + value = (name, (x, y)) pybamm_name = field.field_info.alias pybamm_name_lower = pybamm_name[:1].lower() + pybamm_name[1:] diff --git a/pybamm/simulation.py b/pybamm/simulation.py index 9ae217552e..0315bd8144 100644 --- a/pybamm/simulation.py +++ b/pybamm/simulation.py @@ -8,6 +8,7 @@ import warnings import sys from functools import lru_cache +from datetime import timedelta import tqdm @@ -36,8 +37,11 @@ class Simulation: ---------- model : :class:`pybamm.BaseModel` The model to be simulated - experiment : :class:`pybamm.Experiment` (optional) - The experimental conditions under which to solve the model + experiment : :class:`pybamm.Experiment` or string or list (optional) + The experimental conditions under which to solve the model. If a string is + passed, the experiment is constructed as `pybamm.Experiment([experiment])`. If + a list is passed, the experiment is constructed as + `pybamm.Experiment(experiment)`. geometry: :class:`pybamm.Geometry` (optional) The geometry upon which to solve the model parameter_values: :class:`pybamm.ParameterValues` (optional) @@ -95,8 +99,15 @@ def __init__( } ) else: - if not isinstance(experiment, pybamm.Experiment): - raise TypeError("experiment must be a pybamm `Experiment` instance") + if isinstance(experiment, (str, pybamm.step._Step)): + experiment = pybamm.Experiment([experiment]) + elif isinstance(experiment, list): + experiment = pybamm.Experiment(experiment) + elif not isinstance(experiment, pybamm.Experiment): + raise TypeError( + "experiment must be a pybamm `Experiment` instance, a single " + "experiment step, or a list of experiment steps" + ) self.operating_mode = "with experiment" # Save the experiment @@ -158,60 +169,32 @@ def set_up_and_parameterise_experiment(self): """ # Update experiment using capacity capacity = self._parameter_values["Nominal cell capacity [A.h]"] - for op_conds in self.experiment.operating_conditions: - op_type = op_conds["type"] - if op_conds["dc_data"] is not None: - # If operating condition includes a drive cycle, define the interpolant - drive_cycle_interpolant = pybamm.Interpolant( - op_conds["dc_data"][:, 0], - op_conds["dc_data"][:, 1], - pybamm.t - pybamm.InputParameter("start time"), - ) - if op_type == "current": - op_conds["Current input [A]"] = drive_cycle_interpolant - if op_type == "voltage": - op_conds["Voltage input [V]"] = drive_cycle_interpolant - if op_type == "power": - op_conds["Power input [W]"] = drive_cycle_interpolant - else: - if op_type == "C-rate": - Crate = op_conds.pop("C-rate input [-]") - op_conds["type"] = "current" - op_conds["Current input [A]"] = Crate * capacity - elif op_type == "current": - Crate = op_conds["Current input [A]"] / capacity - - # Update events - events = op_conds.pop("events") - if events is not None: - event_type = events.pop("type") - if event_type == "C-rate": + for op_conds in self.experiment.operating_conditions_steps: + if op_conds.type == "C-rate": + op_conds.type = "current" + op_conds.value = op_conds.value * capacity + + # Update terminations + termination = op_conds.termination + for term in termination: + term_type = term["type"] + if term_type == "C-rate": + # Change type to current + term["type"] = "current" # Scale C-rate with capacity to obtain current - events["Current input [A]"] = ( - events.pop("C-rate input [-]") * capacity - ) - # Update the dictionary of operating conditions, replacing - # "xxx input [unit]" with "xxx cut-off [unit]" - op_conds.update( - { - key.replace("input", "cut-off"): value - for key, value in events.items() - } - ) + term["value"] = term["value"] * capacity # Add time to the experiment times - dt = op_conds["time"] + dt = op_conds.duration if dt is None: - if op_conds["type"] in ["current", "CCCV"]: - # Current control: max simulation time: 3 * max simulation time - # based on C-rate + if op_conds.type == "current": + # Current control: max simulation time: 3h / C-rate + Crate = op_conds.value / capacity dt = 3 / abs(Crate) * 3600 # seconds - if op_conds["type"] == "CCCV": - dt *= 5 # 5x longer for CCCV else: # max simulation time: 1 day dt = 24 * 3600 # seconds - op_conds["time"] = dt + op_conds.duration = dt # Set up model for experiment self.set_up_and_parameterise_model_for_experiment() @@ -224,134 +207,111 @@ def set_up_and_parameterise_model_for_experiment(self): This increases set-up time since several models to be processed, but reduces simulation time since the model formulation is efficient. """ - self.op_type_to_model = {} - self.op_string_to_model = {} - for op_number, op in enumerate(self.experiment.operating_conditions): - # Create model for this operating condition type (current/voltage/power) - # if it has not already been seen before - if op["type"] not in self.op_type_to_model: - if op["type"] == "current": - new_model, submodel = self.model, None - else: - # Voltage or power control - # Create a new model where the current density is now a variable - # To do so, we replace all instances of the current density in the - # model with a current density variable, which is obtained from the - # FunctionControl submodel - # check which kind of external circuit model we need (differential - # or algebraic) - if op["type"] == "voltage": - submodel_class = pybamm.external_circuit.VoltageFunctionControl - elif op["type"] == "power": - submodel_class = pybamm.external_circuit.PowerFunctionControl - elif op["type"] == "CCCV": - submodel_class = pybamm.external_circuit.CCCVFunctionControl - - new_model = self.model.new_copy() - # Build the new submodel and update the model with it - submodel = submodel_class(new_model.param, new_model.options) - variables = new_model.variables - submodel.variables = submodel.get_fundamental_variables() - variables.update(submodel.variables) - submodel.variables.update(submodel.get_coupled_variables(variables)) - variables.update(submodel.variables) - submodel.set_rhs(variables) - submodel.set_algebraic(variables) - submodel.set_initial_conditions(variables) - new_model.rhs.update(submodel.rhs) - new_model.algebraic.update(submodel.algebraic) - new_model.initial_conditions.update(submodel.initial_conditions) - - self.op_type_to_model[op["type"]] = (new_model, submodel) - - if op["string"] not in self.op_string_to_model: - model, submodel = self.op_type_to_model[op["type"]] - # Create a new model for this operating condition, since we will update - # the events differently (based on parameter values and inputs) for - # different models of the same type (current/voltage/power) - new_model = model.new_copy() - self.update_new_model_events(new_model, op) - # Update parameter values - new_parameter_values = self.parameter_values.copy() - self._original_temperature = new_parameter_values[ - "Ambient temperature [K]" - ] - experiment_parameter_values = self.get_experiment_parameter_values( - op, op_number - ) - new_parameter_values.update( - experiment_parameter_values, check_already_exists=False - ) + self.experiment_unique_steps_to_model = {} + for op_number, op in enumerate(self.experiment.unique_steps): + new_model = self.model.new_copy() + new_parameter_values = self.parameter_values.copy() + + if op.type != "current": + # Voltage or power control + # Create a new model where the current density is now a variable + # To do so, we replace all instances of the current density in the + # model with a current density variable, which is obtained from the + # FunctionControl submodel + # check which kind of external circuit model we need (differential + # or algebraic) + if op.type == "voltage": + submodel_class = pybamm.external_circuit.VoltageFunctionControl + elif op.type == "power": + submodel_class = pybamm.external_circuit.PowerFunctionControl + + # Build the new submodel and update the model with it + submodel = submodel_class(new_model.param, new_model.options) + variables = new_model.variables + submodel.variables = submodel.get_fundamental_variables() + variables.update(submodel.variables) + submodel.variables.update(submodel.get_coupled_variables(variables)) + variables.update(submodel.variables) + submodel.set_rhs(variables) + submodel.set_algebraic(variables) + submodel.set_initial_conditions(variables) + new_model.rhs.update(submodel.rhs) + new_model.algebraic.update(submodel.algebraic) + new_model.initial_conditions.update(submodel.initial_conditions) + # Set the "current function" to be the variable defined in the submodel - if submodel is not None: - new_parameter_values["Current function [A]"] = submodel.variables[ - "Current [A]" - ] - parameterised_model = new_parameter_values.process_model( - new_model, inplace=False - ) - self.op_string_to_model[op["string"]] = parameterised_model + new_parameter_values["Current function [A]"] = submodel.variables[ + "Current [A]" + ] + self.update_new_model_events(new_model, op) + # Update parameter values + self._original_temperature = new_parameter_values["Ambient temperature [K]"] + experiment_parameter_values = self.get_experiment_parameter_values( + op, op_number + ) + new_parameter_values.update( + experiment_parameter_values, check_already_exists=False + ) + parameterised_model = new_parameter_values.process_model( + new_model, inplace=False + ) + self.experiment_unique_steps_to_model[repr(op)] = parameterised_model + + # Set up rest model if experiment has start times + if self.experiment.initial_start_time: + new_model = self.model.new_copy() + # Update parameter values + new_parameter_values = self.parameter_values.copy() + self._original_temperature = new_parameter_values["Ambient temperature [K]"] + new_parameter_values.update( + {"Current function [A]": 0, "Ambient temperature [K]": "[input]"}, + check_already_exists=False, + ) + parameterised_model = new_parameter_values.process_model( + new_model, inplace=False + ) + self.experiment_unique_steps_to_model[ + "Rest for padding" + ] = parameterised_model def update_new_model_events(self, new_model, op): - if "Current cut-off [A]" in op: - if op["type"] == "CCCV": - # for the CCCV model we need to make sure that the current - # cut-off is only reached at the end of the CV phase - # Current is negative for a charge so this event will be - # negative until it is zero - # So we take away a large number times a heaviside switch - # for the CV phase to make sure that the event can only be - # hit during CV - new_model.events.append( - pybamm.Event( - "Current cut-off (CCCV) [A] [experiment]", - -new_model.variables["Current [A]"] - - abs(pybamm.InputParameter("Current cut-off [A]")) - + 1e4 - * ( - new_model.variables["Battery voltage [V]"] - < (pybamm.InputParameter("Voltage input [V]") - 1e-4) - ), - ) - ) - else: + for term in op.termination: + if term["type"] == "current": new_model.events.append( pybamm.Event( "Current cut-off [A] [experiment]", - abs(new_model.variables["Current [A]"]) - - pybamm.InputParameter("Current cut-off [A]"), + abs(new_model.variables["Current [A]"]) - term["value"], ) ) - # add voltage events to the model - if "Voltage cut-off [V]" in op: - # The voltage event should be positive at the start of charge/ - # discharge. We use the sign of the current or power input to - # figure out whether the voltage event is greater than the starting - # voltage (charge) or less (discharge) and set the sign of the - # event accordingly - if op["type"] == "power": - inp = op["Power input [W]"] - else: - inp = op["Current input [A]"] - sign = np.sign(inp) - if sign > 0: - name = "Discharge" - else: - name = "Charge" - if sign != 0: - # Event should be positive at initial conditions for both - # charge and discharge - new_model.events.append( - pybamm.Event( - f"{name} voltage cut-off [V] [experiment]", - sign - * ( - new_model.variables["Battery voltage [V]"] - - pybamm.InputParameter("Voltage cut-off [V]") - ), + # add voltage events to the model + if term["type"] == "voltage": + # The voltage event should be positive at the start of charge/ + # discharge. We use the sign of the current or power input to + # figure out whether the voltage event is greater than the starting + # voltage (charge) or less (discharge) and set the sign of the + # event accordingly + if isinstance(op.value, pybamm.Interpolant): + sign = np.sign(op.value.y[0]) + else: + sign = np.sign(op.value) + if sign > 0: + name = "Discharge" + else: + name = "Charge" + if sign != 0: + # Event should be positive at initial conditions for both + # charge and discharge + new_model.events.append( + pybamm.Event( + f"{name} voltage cut-off [V] [experiment]", + sign + * ( + new_model.variables["Battery voltage [V]"] + - term["value"] + ), + ) ) - ) # Keep the min and max voltages as safeguards but add some tolerances # so that they are not triggered before the voltage limits in the @@ -363,26 +323,12 @@ def update_new_model_events(self, new_model, op): ) def get_experiment_parameter_values(self, op, op_number): - experiment_parameter_values = {} - if op["type"] == "current": - experiment_parameter_values.update( - {"Current function [A]": op["Current input [A]"]} - ) - if op["type"] == "CCCV": - experiment_parameter_values.update( - {"CCCV current function [A]": op["Current input [A]"]} - ) - if op["type"] in ["voltage", "CCCV"]: - experiment_parameter_values.update( - {"Voltage function [V]": op["Voltage input [V]"]} - ) - if op["type"] == "power": - experiment_parameter_values.update( - {"Power function [W]": op["Power input [W]"]} - ) + experiment_parameter_values = { + f"{op.type.capitalize()} function {op.unit}": op.value + } - if op["temperature"] is not None: - ambient_temperature = op["temperature"] + 273.15 + if op.temperature is not None: + ambient_temperature = op.temperature experiment_parameter_values.update( {"Ambient temperature [K]": ambient_temperature} ) @@ -391,9 +337,7 @@ def get_experiment_parameter_values(self, op, op_number): # should be the ambient temperature. if op_number == 0: experiment_parameter_values.update( - { - "Initial temperature [K]": ambient_temperature, - } + {"Initial temperature [K]": ambient_temperature} ) else: experiment_parameter_values.update( @@ -491,7 +435,10 @@ def build_for_experiment(self, check_model=True, initial_soc=None): # Process all the different models self.op_conds_to_built_models = {} self.op_conds_to_built_solvers = {} - for op_cond, model_with_set_params in self.op_string_to_model.items(): + for ( + op_cond, + model_with_set_params, + ) in self.experiment_unique_steps_to_model.items(): # It's ok to modify the model with set parameters in place as it's # not returned anywhere built_model = self._disc.process_model( @@ -742,24 +689,38 @@ def solve( for step_num in range(1, cycle_length + 1): # Use 1-indexing for printing cycle number as it is more # human-intuitive - op_conds = self.experiment.operating_conditions[idx] - dt = op_conds["time"] - op_conds_str = op_conds["string"] - model = self.op_conds_to_built_models[op_conds_str] - solver = self.op_conds_to_built_solvers[op_conds_str] + op_conds = self.experiment.operating_conditions_steps[idx] + + start_time = current_solution.t[-1] + + # If step has an end time, dt must take that into account + if op_conds.end_time: + dt = min( + op_conds.duration, + ( + op_conds.end_time + - ( + self.experiment.initial_start_time + + timedelta(seconds=float(start_time)) + ) + ).total_seconds(), + ) + else: + dt = op_conds.duration + op_conds_str = str(op_conds) + model = self.op_conds_to_built_models[repr(op_conds)] + solver = self.op_conds_to_built_solvers[repr(op_conds)] logs["step number"] = (step_num, cycle_length) logs["step operating conditions"] = op_conds_str callbacks.on_step_start(logs) - start_time = current_solution.t[-1] kwargs["inputs"] = { **user_inputs, - **op_conds, "start time": start_time, } # Make sure we take at least 2 timesteps - npts = max(int(round(dt / op_conds["period"])) + 1, 2) + npts = max(int(round(dt / op_conds.period)) + 1, 2) try: step_solution = solver.step( current_solution, @@ -787,6 +748,51 @@ def solve( # Otherwise, just stop this cycle break + step_termination = step_solution.termination + + # Add a padding rest step if necessary + if op_conds.next_start_time is not None: + rest_time = ( + op_conds.next_start_time + - ( + self.experiment.initial_start_time + + timedelta(seconds=float(step_solution.t[-1])) + ) + ).total_seconds() + if rest_time > pybamm.settings.step_start_offset: + start_time = step_solution.t[-1] + # Let me know if you have a better name + op_conds_str = "Rest for padding" + model = self.op_conds_to_built_models[op_conds_str] + solver = self.op_conds_to_built_solvers[op_conds_str] + + logs["step number"] = (step_num, cycle_length) + logs["step operating conditions"] = op_conds_str + callbacks.on_step_start(logs) + + ambient_temp = ( + op_conds.temperature or self._original_temperature + ) + kwargs["inputs"] = { + **user_inputs, + "Ambient temperature [K]": ambient_temp, + "start time": start_time, + } + # Make sure we take at least 2 timesteps + # The period is hardcoded to 10 minutes, the user can + # always override it by adding a rest step + npts = max(int(round(rest_time / 600)) + 1, 2) + + step_solution_with_rest = solver.step( + step_solution, + model, + rest_time, + npts=npts, + save=False, + **kwargs, + ) + step_solution += step_solution_with_rest + steps.append(step_solution) cycle_solution = cycle_solution + step_solution @@ -798,8 +804,8 @@ def solve( # Only allow events specified by experiment if not ( isinstance(step_solution, pybamm.EmptySolution) - or step_solution.termination == "final time" - or "[experiment]" in step_solution.termination + or step_termination == "final time" + or "[experiment]" in step_termination ): callbacks.on_experiment_infeasible(logs) feasible = False @@ -1092,6 +1098,15 @@ def save(self, filename): and self._solver.integrator_specs != {} ): self._solver.integrator_specs = {} + + if self.op_conds_to_built_solvers is not None: + for solver in self.op_conds_to_built_solvers.values(): + if ( + isinstance(solver, pybamm.CasadiSolver) + and solver.integrator_specs != {} + ): + solver.integrator_specs = {} + with open(filename, "wb") as f: pickle.dump(self, f, pickle.HIGHEST_PROTOCOL) diff --git a/pybamm/solvers/casadi_solver.py b/pybamm/solvers/casadi_solver.py index 9383c2d2f9..86246588e9 100644 --- a/pybamm/solvers/casadi_solver.py +++ b/pybamm/solvers/casadi_solver.py @@ -261,6 +261,7 @@ def _integrate(self, model, t_eval, inputs_dict=None): except pybamm.SolverError as error: pybamm.logger.debug("Failed, halving step size") dt /= 2 + count += 1 # also reduce maximum step size for future global steps, # but skip them in the beginning # sometimes, for the first integrator smaller timesteps are @@ -268,7 +269,7 @@ def _integrate(self, model, t_eval, inputs_dict=None): # global timestep will only be reduced after the first timestep. if first_ts_solved: dt_max = dt - if count >= self.max_step_decrease_count: + if count > self.max_step_decrease_count: message = ( "Maximum number of decreased steps occurred at " f"t={t} (final SolverError: '{error}'). " @@ -287,7 +288,6 @@ def _integrate(self, model, t_eval, inputs_dict=None): "return the solution object up to the point where " "failure occured." ) - count += 1 if termination_due_to_small_dt: break # Check if the sign of an event changes, if so find an accurate diff --git a/pybamm/solvers/solution.py b/pybamm/solvers/solution.py index 278355f7fa..d25453927d 100644 --- a/pybamm/solvers/solution.py +++ b/pybamm/solvers/solution.py @@ -789,7 +789,7 @@ def __radd__(self, other): return self.copy() def copy(self): - return EmptySolution(self.termination) + return EmptySolution(termination=self.termination, t=self.t) def make_cycle_solution(step_solutions, esoh_solver=None, save_this_cycle=True): diff --git a/pybamm/step/__init__.py b/pybamm/step/__init__.py new file mode 100644 index 0000000000..eea47a54a7 --- /dev/null +++ b/pybamm/step/__init__.py @@ -0,0 +1,2 @@ +from .steps import * +from .steps import _Step diff --git a/pybamm/step/_steps_util.py b/pybamm/step/_steps_util.py new file mode 100644 index 0000000000..879461b73c --- /dev/null +++ b/pybamm/step/_steps_util.py @@ -0,0 +1,278 @@ +# +# Private classes and functions for experiment steps +# +import pybamm +import numpy as np +from datetime import datetime + +_examples = """ + + "Discharge at 1C for 0.5 hours", + "Discharge at C/20 for 0.5 hours", + "Charge at 0.5 C for 45 minutes", + "Discharge at 1 A for 0.5 hours", + "Charge at 200 mA for 45 minutes", + "Discharge at 1W for 0.5 hours", + "Charge at 200mW for 45 minutes", + "Rest for 10 minutes", + "Hold at 1V for 20 seconds", + "Charge at 1 C until 4.1V", + "Hold at 4.1 V until 50mA", + "Hold at 3V until C/50", + "Discharge at C/3 for 2 hours or until 2.5 V", + + """ + + +class _Step: + """ + Class representing one step in an experiment. + All experiment steps are functions that return an instance of this class. + This class is not intended to be used directly. + + Parameters + ---------- + typ : str + The type of step, can be "current", "voltage", "c_rate", "power", + or "resistance". + value : float + The value of the step, corresponding to the type of step. Can be a number, a + 2-tuple (for cccv_ode), or a 2-column array (for drive cycles) + duration : float, optional + The duration of the step in seconds. + termination : str or list, optional + A string or list of strings indicating the condition(s) that will terminate the + step. If a list, the step will terminate when any of the conditions are met. + period : float or string, optional + The period of the step. If a float, the value is in seconds. If a string, the + value should be a valid time string, e.g. "1 hour". + temperature : float or string, optional + The temperature of the step. If a float, the value is in Kelvin. If a string, + the value should be a valid temperature string, e.g. "25 oC". + tags : str or list, optional + A string or list of strings indicating the tags associated with the step. + datetime : str or datetime, optional + A string or list of strings indicating the tags associated with the step. + description : str, optional + A description of the step. + """ + + def __init__( + self, + typ, + value, + duration=None, + termination=None, + period=None, + temperature=None, + tags=None, + start_time=None, + description=None, + ): + self.type = typ + + # Record all the args for repr + self.args = f"{typ}, {value}" + if duration: + self.args += f", duration={duration}" + if termination: + self.args += f", termination={termination}" + if period: + self.args += f", period={period}" + if temperature: + self.args += f", temperature={temperature}" + if tags: + self.args += f", tags={tags}" + if start_time: + self.args += f", start_time={start_time}" + if description: + self.args += f", description={description}" + + # Check if drive cycle + self.is_drive_cycle = isinstance(value, np.ndarray) + if self.is_drive_cycle: + if value.ndim != 2 or value.shape[1] != 2: + raise ValueError( + "Drive cycle must be a 2-column array with time in the first column" + " and current/C-rate/power/voltage/resistance in the second" + ) + if duration is not None: + t_max = _convert_time_to_seconds(duration) + self.duration = _convert_time_to_seconds(duration) + if t_max > value[-1, 0]: + # duration longer than drive cycle values so loop + nloop = np.ceil(t_max / value[-1, 0]).astype(int) + tstep = np.diff(value[:, 0])[0] + t = [] + y = [] + for i in range(nloop): + t.append(value[:, 0] + ((value[-1, 0] + tstep) * i)) + y.append(value[:, 1]) + t = np.asarray(t).flatten() + y = np.asarray(y).flatten() + else: + t, y = value[:, 0], value[:, 1] + else: + t, y = value[:, 0], value[:, 1] + self.duration = t.max() + + self.value = pybamm.Interpolant( + t, y, pybamm.t - pybamm.InputParameter("start time") + ) + self.period = np.diff(t).min() + else: + self.value = value + self.duration = _convert_time_to_seconds(duration) + self.period = _convert_time_to_seconds(period) + + self.description = description + + if termination is None: + termination = [] + elif not isinstance(termination, list): + termination = [termination] + self.termination = [] + for term in termination: + typ, value = _convert_electric(term) + self.termination.append({"type": typ, "value": value}) + + self.temperature = _convert_temperature_to_kelvin(temperature) + + if tags is None: + tags = [] + elif isinstance(tags, str): + tags = [tags] + self.tags = tags + + if start_time is None or isinstance(start_time, datetime): + self.start_time = start_time + else: + raise TypeError("`start_time` should be a datetime.datetime object") + self.next_start_time = None + self.end_time = None + + def __str__(self): + if self.description is not None: + return self.description + else: + return repr(self) + + def __repr__(self): + return f"_Step({self.args})" + + def to_dict(self): + """ + Convert the step to a dictionary. + + Returns + ------- + dict + A dictionary containing the step information. + """ + return { + "type": self.type, + "value": self.value, + "duration": self.duration, + "termination": self.termination, + "period": self.period, + "temperature": self.temperature, + "tags": self.tags, + "start_time": self.start_time, + "description": self.description, + } + + def __eq__(self, other): + return ( + isinstance(other, _Step) + and self.__repr__() == other.__repr__() + and self.next_start_time == other.next_start_time + and self.end_time == other.end_time + ) + + def __hash__(self): + return hash(repr(self)) + + @property + def unit(self): + return _type_to_units[self.type] + + +_type_to_units = { + "current": "[A]", + "voltage": "[V]", + "power": "[W]", + "resistance": "[Ohm]", +} + + +def _convert_time_to_seconds(time_and_units): + """Convert a time in seconds, minutes or hours to a time in seconds""" + # If the time is a number, assume it is in seconds + if isinstance(time_and_units, (int, float)) or time_and_units is None: + return time_and_units + + # Split number and units + units = time_and_units.lstrip("0123456789.- ") + time = time_and_units[: -len(units)] + if units in ["second", "seconds", "s", "sec"]: + time_in_seconds = float(time) + elif units in ["minute", "minutes", "m", "min"]: + time_in_seconds = float(time) * 60 + elif units in ["hour", "hours", "h", "hr"]: + time_in_seconds = float(time) * 3600 + else: + raise ValueError( + "time units must be 'seconds', 'minutes' or 'hours'. " + f"For example: {_examples}" + ) + return time_in_seconds + + +def _convert_temperature_to_kelvin(temperature_and_units): + """Convert a temperature in Celsius or Kelvin to a temperature in Kelvin""" + # If the temperature is a number, assume it is in Kelvin + if isinstance(temperature_and_units, (int, float)) or temperature_and_units is None: + return temperature_and_units + + # Split number and units + units = temperature_and_units.lstrip("0123456789.- ") + temperature = temperature_and_units[: -len(units)] + if units in ["K"]: + temperature_in_kelvin = float(temperature) + elif units in ["oC"]: + temperature_in_kelvin = float(temperature) + 273.15 + else: + raise ValueError("temperature units must be 'K' or 'oC'. ") + return temperature_in_kelvin + + +def _convert_electric(value_string): + """Convert electrical instructions to consistent output""" + # Special case for C-rate e.g. C/2 + if value_string[0] == "C": + unit = "C" + value = 1 / float(value_string[2:]) + else: + # All other cases e.g. 4 A, 2.5 V, 1.5 Ohm + unit = value_string.lstrip("0123456789.- ") + value = float(value_string[: -len(unit)]) + # Catch milli- prefix + if unit.startswith("m"): + unit = unit[1:] + value /= 1000 + + # Convert units to type + units_to_type = { + "C": "C-rate", + "A": "current", + "V": "voltage", + "W": "power", + "Ohm": "resistance", + } + try: + typ = units_to_type[unit] + except KeyError: + raise ValueError( + f"units must be 'A', 'V', 'W', 'Ohm', or 'C'. For example: {_examples}" + ) + return typ, value diff --git a/pybamm/step/steps.py b/pybamm/step/steps.py new file mode 100644 index 0000000000..0b8123ddb0 --- /dev/null +++ b/pybamm/step/steps.py @@ -0,0 +1,225 @@ +# +# Public functions to create steps for use in an experiment. +# +from ._steps_util import _Step, _convert_electric, _examples + + +def string(string, **kwargs): + """ + Create a step from a string. + + Parameters + ---------- + string : str + The string to parse. Each operating condition should + be of the form "Do this for this long" or "Do this until this happens". For + example, "Charge at 1 C for 1 hour", or "Charge at 1 C until 4.2 V", or "Charge + at 1 C for 1 hour or until 4.2 V". The instructions can be of the form + "(Dis)charge at x A/C/W", "Rest", or "Hold at x V until y A". The running + time should be a time in seconds, minutes or hours, e.g. "10 seconds", + "3 minutes" or "1 hour". The stopping conditions should be + a circuit state, e.g. "1 A", "C/50" or "3 V". + **kwargs + Any other keyword arguments are passed to the :class:`pybamm.step._Step` + class. + + Returns + ------- + :class:`pybamm.step._Step` + A step parsed from the string. + """ + if not isinstance(string, str): + raise TypeError("Input to step.string() must be a string") + + if "oC" in string: + raise ValueError( + "Temperature must be specified as a keyword argument " + "instead of in the string" + ) + + # Save the original string + description = string + + # extract period + if "period)" in string: + if "period" in kwargs: + raise ValueError( + "Period cannot be specified both as a keyword argument " + "and in the string" + ) + string, period_full = string.split(" (") + period, _ = period_full.split(" period)") + kwargs["period"] = period + # extract termination condition based on "until" keyword + if "until" in string: + # e.g. "Charge at 4 A until 3.8 V" + string, termination = string.split(" until ") + # sometimes we use "or until" instead of "until", so remove "or" + string = string.replace(" or", "") + else: + termination = None + + # extract duration based on "for" keyword + if "for" in string: + # e.g. "Charge at 4 A for 3 hours" + string, duration = string.split(" for ") + else: + duration = None + + if termination is None and duration is None: + raise ValueError( + "Operating conditions must contain keyword 'for' or 'until'. " + f"For example: {_examples}" + ) + + # read remaining instruction + if string.startswith("Rest"): + typ = "current" + value = 0 + elif string.startswith("Run"): + raise ValueError( + "Simulating drive cycles with 'Run' has been deprecated. Use the " + "pybamm.step.current/voltage/power/c_rate/resistance() functions " + "instead." + ) + else: + # split by what is before and after "at" + # e.g. "Charge at 4 A" -> ["Charge", "4 A"] + # e.g. "Discharge at C/2" -> ["Discharge", "C/2"] + instruction, value_string = string.split(" at ") + if instruction == "Charge": + sign = -1 + elif instruction in ["Discharge", "Hold"]: + sign = 1 + else: + raise ValueError( + "Instruction must be 'discharge', 'charge', 'rest', or 'hold'. " + f"For example: {_examples}" + f"The following instruction does not comply: {instruction}" + ) + # extract units (type) and convert value to float + typ, value = _convert_electric(value_string) + # Make current positive for discharge and negative for charge + value *= sign + + return _Step( + typ, + value, + duration=duration, + termination=termination, + description=description, + **kwargs, + ) + + +def current(value, **kwargs): + """ + Create a current-controlled step. + Current is positive for discharge and negative for charge. + + Parameters + ---------- + value : float + The current value in A. + **kwargs + Any other keyword arguments are passed to the :class:`pybamm.step._Step` + class. + + Returns + ------- + :class:`pybamm.step._Step` + A current-controlled step. + """ + return _Step("current", value, **kwargs) + + +def c_rate(value, **kwargs): + """ + Create a C-rate controlled step. + C-rate is positive for discharge and negative for charge. + + Parameters + ---------- + value : float + The C-rate value. + **kwargs + Any other keyword arguments are passed to the :class:`pybamm.step._Step` + class. + + Returns + ------- + :class:`pybamm.step._Step` + A C-rate controlled step. + """ + return _Step("C-rate", value, **kwargs) + + +def voltage(value, **kwargs): + """ + Create a voltage-controlled step. + Voltage should always be positive. + + Parameters + ---------- + value : float + The voltage value in V. + **kwargs + Any other keyword arguments are passed to the :class:`pybamm.step._Step` + class. + + Returns + ------- + :class:`pybamm.step._Step` + A voltage-controlled step. + """ + return _Step("voltage", value, **kwargs) + + +def power(value, **kwargs): + """ + Create a power-controlled step. + Power is positive for discharge and negative for charge. + + Parameters + ---------- + value : float + The power value in W. + **kwargs + Any other keyword arguments are passed to the :class:`pybamm.step._Step` + class. + + Returns + ------- + :class:`pybamm.step._Step` + A power-controlled step. + """ + return _Step("power", value, **kwargs) + + +def resistance(value, **kwargs): + """ + Create a resistance-controlled step. + Resistance is positive for discharge and negative for charge. + + Parameters + ---------- + value : float + The resistance value in Ohm. + **kwargs + Any other keyword arguments are passed to the :class:`pybamm.step._Step` + class. + + Returns + ------- + :class:`pybamm.step._Step` + A resistance-controlled step. + """ + return _Step("resistance", value, **kwargs) + + +def rest(duration=None, **kwargs): + """ + Create a rest step, equivalent to a constant current step with value 0 + (see :meth:`pybamm.step.current`). + """ + return current(0, duration=duration, **kwargs) diff --git a/pybamm/version.py b/pybamm/version.py index 0df16ace7c..0e8c575aea 100644 --- a/pybamm/version.py +++ b/pybamm/version.py @@ -1 +1 @@ -__version__ = "23.4.1" +__version__ = "23.5" diff --git a/scripts/install_KLU_Sundials.py b/scripts/install_KLU_Sundials.py index a97da77faf..96e60aeb0e 100755 --- a/scripts/install_KLU_Sundials.py +++ b/scripts/install_KLU_Sundials.py @@ -2,6 +2,7 @@ import subprocess import tarfile import argparse +import platform try: # wget module is required to download SUNDIALS or SuiteSparse. @@ -113,6 +114,39 @@ def download_extract_library(url, download_dir): "-DCMAKE_INSTALL_NAME_DIR=" + KLU_LIBRARY_DIR, ] +# try to find OpenMP on mac +if platform.system() == "Darwin": + # flags to find OpenMP on mac + if platform.processor() == "arm": + LDFLAGS = "-L/opt/homebrew/opt/libomp/lib" + CPPFLAGS = "-I/opt/homebrew/opt/libomp/include" + OpenMP_C_FLAGS = "-Xpreprocessor -fopenmp -I/opt/homebrew/opt/libomp/include" + OpenMP_CXX_FLAGS = "-Xpreprocessor -fopenmp -I/opt/homebrew/opt/libomp/include" + OpenMP_C_LIB_NAMES = "omp" + OpenMP_CXX_LIB_NAMES = "omp" + OpenMP_libomp_LIBRARY = "/opt/homebrew/opt/libomp/lib/libomp.dylib" + OpenMP_omp_LIBRARY = "/opt/homebrew/opt/libomp/lib/libomp.dylib" + elif platform.processor() == "i386": + LDFLAGS = "-L/usr/local/opt/libomp/lib" + CPPFLAGS = "-I/usr/local/opt/libomp/include" + OpenMP_C_FLAGS = "-Xpreprocessor -fopenmp -I/usr/local/opt/libomp/include" + OpenMP_CXX_FLAGS = "-Xpreprocessor -fopenmp -I/usr/local/opt/libomp/include" + OpenMP_C_LIB_NAMES = "omp" + OpenMP_CXX_LIB_NAMES = "omp" + OpenMP_libomp_LIBRARY = "/usr/local/opt/libomp/lib/libomp.dylib" + OpenMP_omp_LIBRARY = "/usr/local/opt/libomp/lib/libomp.dylib" + + cmake_args += [ + "-DLDFLAGS=" + LDFLAGS, + "-DCPPFLAGS=" + CPPFLAGS, + "-DOpenMP_C_FLAGS=" + OpenMP_C_FLAGS, + "-DOpenMP_CXX_FLAGS=" + OpenMP_CXX_FLAGS, + "-DOpenMP_C_LIB_NAMES=" + OpenMP_C_LIB_NAMES, + "-DOpenMP_CXX_LIB_NAMES=" + OpenMP_CXX_LIB_NAMES, + "-DOpenMP_libomp_LIBRARY=" + OpenMP_libomp_LIBRARY, + "-DOpenMP_omp_LIBRARY=" + OpenMP_omp_LIBRARY, + ] + # SUNDIALS are built within download_dir 'build_sundials' in the PyBaMM root # download_dir build_dir = os.path.abspath(os.path.join(download_dir, "build_sundials")) diff --git a/setup.py b/setup.py index 9eeb7b6114..537464777c 100644 --- a/setup.py +++ b/setup.py @@ -230,6 +230,7 @@ def compile_KLU(): "sphinx_design", "sphinx-copybutton", "myst-parser", + "sphinx-inline-tabs", ], # For doc generation "dev": [ "pre-commit", # For code style checking diff --git a/tests/integration/test_experiments.py b/tests/integration/test_experiments.py index 277adb3852..30db3e446c 100644 --- a/tests/integration/test_experiments.py +++ b/tests/integration/test_experiments.py @@ -80,6 +80,27 @@ def test_infeasible(self): # this experiment fails during the third cycle (i.e. is infeasible) self.assertEqual(len(sol.cycles), 3) + def test_drive_cycle(self): + drive_cycle = np.array([np.arange(100), 5 * np.ones(100)]).T + c_step = pybamm.step.current( + value=drive_cycle, duration=100, termination=["4.00 V"] + ) + experiment = pybamm.Experiment( + [ + c_step, + ], + ) + model = pybamm.lithium_ion.SPM() + param = pybamm.ParameterValues("Chen2020") + sim = pybamm.Simulation( + model, + experiment=experiment, + parameter_values=param, + solver=pybamm.CasadiSolver(), + ) + sol = sim.solve() + assert np.all(sol["Terminal voltage [V]"].entries >= 4.00) + if __name__ == "__main__": print("Add -v for more debug output") diff --git a/tests/unit/test_batch_study.py b/tests/unit/test_batch_study.py index f2a14f2806..89e6bd62b0 100644 --- a/tests/unit/test_batch_study.py +++ b/tests/unit/test_batch_study.py @@ -62,11 +62,9 @@ def test_solve(self): solvers_list = [solver.name for solver in bs_false.solvers.values()] self.assertIn(output_solver, solvers_list) - output_experiment = bs_false.sims[ - num - ].experiment.operating_conditions_strings + output_experiment = bs_false.sims[num].experiment.operating_conditions_steps experiments_list = [ - experiment.operating_conditions_strings + experiment.operating_conditions_steps for experiment in bs_false.experiments.values() ] self.assertIn(output_experiment, experiments_list) @@ -84,11 +82,9 @@ def test_solve(self): solvers_list = [solver.name for solver in bs_true.solvers.values()] self.assertIn(output_solver, solvers_list) - output_experiment = bs_true.sims[ - num - ].experiment.operating_conditions_strings + output_experiment = bs_true.sims[num].experiment.operating_conditions_steps experiments_list = [ - experiment.operating_conditions_strings + experiment.operating_conditions_steps for experiment in bs_true.experiments.values() ] self.assertIn(output_experiment, experiments_list) diff --git a/tests/unit/test_citations.py b/tests/unit/test_citations.py index 5480182e6b..d388f8d2ba 100644 --- a/tests/unit/test_citations.py +++ b/tests/unit/test_citations.py @@ -13,7 +13,7 @@ @contextlib.contextmanager def temporary_filename(): - """Create a temporary-file and return yield it's filename""" + """Create a temporary-file and return yield its filename""" f = NamedTemporaryFile(delete=False) try: @@ -34,9 +34,15 @@ def test_citations(self): self.assertIn("Sulzer2019physical", citations._all_citations.keys()) self.assertNotIn("Sulzer2019physical", citations._papers_to_cite) - # test key error + # Register a citation that does not exist + citations.register("not a citation") + + # Test key error with self.assertRaises(KeyError): - citations.register("not a citation") + citations._parse_citation("not a citation") # this should raise key error + + # Test unknown citations at registration + self.assertIn("not a citation", citations._unknown_citations) def test_print_citations(self): pybamm.citations._reset() @@ -69,22 +75,33 @@ def test_print_citations(self): pybamm.print_citations() pybamm.citations._citation_err_msg = None + # Test that unknown citation raises warning message on printing + pybamm.citations._reset() + pybamm.citations.register("not a citation") + with self.assertWarnsRegex(UserWarning, "not a citation"): + pybamm.print_citations() + def test_overwrite_citation(self): # Unknown citation fake_citation = r"@article{NotACitation, title = {This Doesn't Exist}}" with warnings.catch_warnings(): pybamm.citations.register(fake_citation) + pybamm.citations._parse_citation(fake_citation) self.assertIn("NotACitation", pybamm.citations._papers_to_cite) # Same NotACitation with warnings.catch_warnings(): pybamm.citations.register(fake_citation) + pybamm.citations._parse_citation(fake_citation) self.assertIn("NotACitation", pybamm.citations._papers_to_cite) # Overwrite NotACitation old_citation = pybamm.citations._all_citations["NotACitation"] with self.assertWarns(Warning): pybamm.citations.register(r"@article{NotACitation, title = {A New Title}}") + pybamm.citations._parse_citation( + r"@article{NotACitation, title = {A New Title}}" + ) # noqa: E501 self.assertIn("NotACitation", pybamm.citations._papers_to_cite) self.assertNotEqual( pybamm.citations._all_citations["NotACitation"], old_citation @@ -92,8 +109,10 @@ def test_overwrite_citation(self): def test_input_validation(self): """Test type validation of ``_add_citation``""" + pybamm.citations.register(1) + with self.assertRaises(TypeError): - pybamm.citations.register(1) + pybamm.citations._parse_citation(1) with self.assertRaises(TypeError): pybamm.citations._add_citation("NotACitation", "NotAEntry") @@ -116,6 +135,7 @@ def test_marquis_2019(self): self.assertNotIn("Marquis2019", citations._papers_to_cite) pybamm.lithium_ion.SPM(build=False) self.assertIn("Marquis2019", citations._papers_to_cite) + self.assertIn("Marquis2019", citations._citation_tags.keys()) citations._reset() pybamm.lithium_ion.SPMe(build=False) @@ -127,6 +147,7 @@ def test_doyle_1993(self): self.assertNotIn("Doyle1993", citations._papers_to_cite) pybamm.lithium_ion.DFN(build=False) self.assertIn("Doyle1993", citations._papers_to_cite) + self.assertIn("Doyle1993", citations._citation_tags.keys()) def test_sulzer_2019(self): # Test that calling relevant bits of code adds the right paper to citations @@ -136,10 +157,12 @@ def test_sulzer_2019(self): self.assertNotIn("Sulzer2019asymptotic", citations._papers_to_cite) pybamm.lead_acid.LOQS(build=False) self.assertIn("Sulzer2019asymptotic", citations._papers_to_cite) + self.assertIn("Sulzer2019asymptotic", citations._citation_tags.keys()) citations._reset() pybamm.lead_acid.Full(build=False) self.assertIn("Sulzer2019physical", citations._papers_to_cite) + self.assertIn("Sulzer2019physical", citations._citation_tags.keys()) def test_timms_2021(self): # Test that calling relevant bits of code adds the right paper to citations @@ -149,36 +172,43 @@ def test_timms_2021(self): self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.current_collector.BasePotentialPair(param=None) self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.current_collector.EffectiveResistance() self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.current_collector.AlternativeEffectiveResistance2D() self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.thermal.pouch_cell.CurrentCollector1D(param=None) self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.thermal.pouch_cell.CurrentCollector2D(param=None) self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.thermal.Lumped(param=None) self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Timms2021", citations._papers_to_cite) pybamm.thermal.OneDimensionalX(param=None) self.assertIn("Timms2021", citations._papers_to_cite) + self.assertIn("Timms2021", citations._citation_tags.keys()) def test_subramanian_2005(self): # Test that calling relevant bits of code adds the right paper to citations @@ -190,6 +220,7 @@ def test_subramanian_2005(self): None, "negative", {"particle": "quadratic profile"}, "primary" ) self.assertIn("Subramanian2005", citations._papers_to_cite) + self.assertIn("Subramanian2005", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Subramanian2005", citations._papers_to_cite) @@ -197,6 +228,7 @@ def test_subramanian_2005(self): None, "negative", {"particle": "quadratic profile"}, "primary" ) self.assertIn("Subramanian2005", citations._papers_to_cite) + self.assertIn("Subramanian2005", citations._citation_tags.keys()) def test_brosaplanella_2021(self): # Test that calling relevant bits of code adds the right paper to citations @@ -206,6 +238,7 @@ def test_brosaplanella_2021(self): self.assertNotIn("BrosaPlanella2021", citations._papers_to_cite) pybamm.electrolyte_conductivity.Integrated(None) self.assertIn("BrosaPlanella2021", citations._papers_to_cite) + self.assertIn("BrosaPlanella2021", citations._citation_tags.keys()) def test_brosaplanella_2022(self): # Test that calling relevant bits of code adds the right paper to citations @@ -235,6 +268,7 @@ def test_brosaplanella_2022(self): build=False, options={"lithium plating": "irreversible"} ) self.assertIn("BrosaPlanella2022", citations._papers_to_cite) + self.assertIn("BrosaPlanella2022", citations._citation_tags.keys()) citations._reset() def test_newman_tobias(self): @@ -246,7 +280,9 @@ def test_newman_tobias(self): self.assertNotIn("Chu2020", citations._papers_to_cite) pybamm.lithium_ion.NewmanTobias() self.assertIn("Newman1962", citations._papers_to_cite) + self.assertIn("Newman1962", citations._citation_tags.keys()) self.assertIn("Chu2020", citations._papers_to_cite) + self.assertIn("Chu2020", citations._citation_tags.keys()) def test_scikit_fem(self): citations = pybamm.citations @@ -255,6 +291,7 @@ def test_scikit_fem(self): self.assertNotIn("Gustafsson2020", citations._papers_to_cite) pybamm.ScikitFiniteElement() self.assertIn("Gustafsson2020", citations._papers_to_cite) + self.assertIn("Gustafsson2020", citations._citation_tags.keys()) def test_reniers_2019(self): # Test that calling relevant bits of code adds the right paper to citations @@ -264,6 +301,7 @@ def test_reniers_2019(self): self.assertNotIn("Reniers2019", citations._papers_to_cite) pybamm.active_material.LossActiveMaterial(None, "negative", None, True) self.assertIn("Reniers2019", citations._papers_to_cite) + self.assertIn("Reniers2019", citations._citation_tags.keys()) def test_mohtat_2019(self): citations = pybamm.citations @@ -274,6 +312,7 @@ def test_mohtat_2019(self): pybamm.ParameterValues("Marquis2019") )._get_electrode_soh_sims_full() self.assertIn("Mohtat2019", citations._papers_to_cite) + self.assertIn("Mohtat2019", citations._citation_tags.keys()) def test_mohtat_2021(self): citations = pybamm.citations @@ -282,6 +321,7 @@ def test_mohtat_2021(self): self.assertNotIn("Mohtat2021", citations._papers_to_cite) pybamm.external_circuit.CCCVFunctionControl(None, None) self.assertIn("Mohtat2021", citations._papers_to_cite) + self.assertIn("Mohtat2021", citations._citation_tags.keys()) def test_sripad_2020(self): citations = pybamm.citations @@ -290,11 +330,13 @@ def test_sripad_2020(self): self.assertNotIn("Sripad2020", citations._papers_to_cite) pybamm.kinetics.Marcus(None, None, None, None, None) self.assertIn("Sripad2020", citations._papers_to_cite) + self.assertIn("Sripad2020", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Sripad2020", citations._papers_to_cite) pybamm.kinetics.MarcusHushChidsey(None, None, None, None, None) self.assertIn("Sripad2020", citations._papers_to_cite) + self.assertIn("Sripad2020", citations._citation_tags.keys()) def test_parameter_citations(self): citations = pybamm.citations @@ -302,30 +344,40 @@ def test_parameter_citations(self): citations._reset() pybamm.ParameterValues("Chen2020") self.assertIn("Chen2020", citations._papers_to_cite) + self.assertIn("Chen2020", citations._citation_tags.keys()) citations._reset() pybamm.ParameterValues("NCA_Kim2011") self.assertIn("Kim2011", citations._papers_to_cite) + self.assertIn("Kim2011", citations._citation_tags.keys()) citations._reset() pybamm.ParameterValues("Marquis2019") self.assertIn("Marquis2019", citations._papers_to_cite) + self.assertIn("Marquis2019", citations._citation_tags.keys()) citations._reset() pybamm.ParameterValues("Sulzer2019") self.assertIn("Sulzer2019physical", citations._papers_to_cite) + self.assertIn("Sulzer2019physical", citations._citation_tags.keys()) citations._reset() pybamm.ParameterValues("Ecker2015") self.assertIn("Ecker2015i", citations._papers_to_cite) + self.assertIn("Ecker2015i", citations._citation_tags.keys()) self.assertIn("Ecker2015ii", citations._papers_to_cite) + self.assertIn("Ecker2015ii", citations._citation_tags.keys()) self.assertIn("Zhao2018", citations._papers_to_cite) + self.assertIn("Zhao2018", citations._citation_tags.keys()) self.assertIn("Hales2019", citations._papers_to_cite) + self.assertIn("Hales2019", citations._citation_tags.keys()) self.assertIn("Richardson2020", citations._papers_to_cite) + self.assertIn("Richardson2020", citations._citation_tags.keys()) citations._reset() pybamm.ParameterValues("ORegan2022") self.assertIn("ORegan2022", citations._papers_to_cite) + self.assertIn("ORegan2022", citations._citation_tags.keys()) def test_solver_citations(self): # Test that solving each solver adds the right citations @@ -335,28 +387,33 @@ def test_solver_citations(self): self.assertNotIn("Virtanen2020", citations._papers_to_cite) pybamm.ScipySolver() self.assertIn("Virtanen2020", citations._papers_to_cite) + self.assertIn("Virtanen2020", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Virtanen2020", citations._papers_to_cite) pybamm.AlgebraicSolver() self.assertIn("Virtanen2020", citations._papers_to_cite) + self.assertIn("Virtanen2020", citations._citation_tags.keys()) if pybamm.have_scikits_odes(): citations._reset() self.assertNotIn("Malengier2018", citations._papers_to_cite) pybamm.ScikitsOdeSolver() self.assertIn("Malengier2018", citations._papers_to_cite) + self.assertIn("Malengier2018", citations._citation_tags.keys()) citations._reset() self.assertNotIn("Malengier2018", citations._papers_to_cite) pybamm.ScikitsDaeSolver() self.assertIn("Malengier2018", citations._papers_to_cite) + self.assertIn("Malengier2018", citations._citation_tags.keys()) if pybamm.have_idaklu(): citations._reset() self.assertNotIn("Hindmarsh2005", citations._papers_to_cite) pybamm.IDAKLUSolver() self.assertIn("Hindmarsh2005", citations._papers_to_cite) + self.assertIn("Hindmarsh2005", citations._citation_tags.keys()) @unittest.skipIf(not pybamm.have_jax(), "jax or jaxlib is not installed") def test_jax_citations(self): @@ -365,6 +422,7 @@ def test_jax_citations(self): self.assertNotIn("jax2018", citations._papers_to_cite) pybamm.JaxSolver() self.assertIn("jax2018", citations._papers_to_cite) + self.assertIn("jax2018", citations._citation_tags.keys()) if __name__ == "__main__": diff --git a/tests/unit/test_experiments/test_experiment.py b/tests/unit/test_experiments/test_experiment.py index b6da539674..23548be433 100644 --- a/tests/unit/test_experiments/test_experiment.py +++ b/tests/unit/test_experiments/test_experiment.py @@ -2,357 +2,12 @@ # Test the base experiment class # from tests import TestCase +from datetime import datetime import pybamm -import numpy as np import unittest -import pandas as pd -import os class TestExperiment(TestCase): - def test_read_strings(self): - # Import drive cycle from file - drive_cycle = pd.read_csv( - pybamm.get_parameters_filepath( - os.path.join("input", "drive_cycles", "US06.csv") - ), - comment="#", - header=None, - ).to_numpy() - - experiment = pybamm.Experiment( - [ - "Discharge at 1C for 0.5 hours at 27oC [tag1]", - "Discharge at C/20 for 0.5 hours at 29oC [tag2,tag3]", - "Charge at 0.5 C for 45 minutes at -5oC", - "Discharge at 1 A for 0.5 hours at -5.1oC", - "Charge at 200 mA for 45 minutes at 10.2oC (1 minute period)", - "Discharge at 1W for 0.5 hours at -10.4oC", - "Charge at 200mW for 45 minutes", - "Rest for 10 minutes (5 minute period) [tag1,tag3]", - "Hold at 1V for 20 seconds", - "Charge at 1 C until 4.1V", - "Hold at 4.1 V until 50mA", - "Hold at 3V until C/50", - "Discharge at C/3 for 2 hours or until 2.5 V at 26oC", - "Run US06 (A) at -5oC", - "Run US06 (V) for 5 minutes", - "Run US06 (W) for 0.5 hours", - ], - temperature=43, - drive_cycles={"US06": drive_cycle}, - period="20 seconds", - ) - expected_result = [ - { - "C-rate input [-]": 1.0, - "type": "C-rate", - "time": 1800.0, - "period": 20.0, - "temperature": 27.0, - "dc_data": None, - "string": "Discharge at 1C for 0.5 hours at 27oC", - "events": None, - "tags": ["tag1"], - }, - { - "C-rate input [-]": 0.05, - "type": "C-rate", - "time": 1800.0, - "period": 20.0, - "temperature": 29.0, - "dc_data": None, - "string": "Discharge at C/20 for 0.5 hours at 29oC", - "events": None, - "tags": ["tag2", "tag3"], - }, - { - "C-rate input [-]": -0.5, - "type": "C-rate", - "time": 2700.0, - "period": 20.0, - "temperature": -5.0, - "dc_data": None, - "string": "Charge at 0.5 C for 45 minutes at -5oC", - "events": None, - "tags": None, - }, - { - "Current input [A]": 1.0, - "type": "current", - "time": 1800.0, - "period": 20.0, - "temperature": -5.1, - "dc_data": None, - "string": "Discharge at 1 A for 0.5 hours at -5.1oC", - "events": None, - "tags": None, - }, - { - "Current input [A]": -0.2, - "type": "current", - "time": 2700.0, - "period": 60.0, - "temperature": 10.2, - "dc_data": None, - "string": "Charge at 200 mA for 45 minutes at 10.2oC", - "events": None, - "tags": None, - }, - { - "Power input [W]": 1.0, - "type": "power", - "time": 1800.0, - "period": 20.0, - "temperature": -10.4, - "dc_data": None, - "string": "Discharge at 1W for 0.5 hours at -10.4oC", - "events": None, - "tags": None, - }, - { - "Power input [W]": -0.2, - "type": "power", - "time": 2700.0, - "period": 20.0, - "temperature": 43, - "dc_data": None, - "string": "Charge at 200mW for 45 minutes", - "events": None, - "tags": None, - }, - { - "Current input [A]": 0, - "type": "current", - "time": 600.0, - "period": 300.0, - "temperature": 43, - "dc_data": None, - "string": "Rest for 10 minutes", - "events": None, - "tags": ["tag1", "tag3"], - }, - { - "Voltage input [V]": 1, - "type": "voltage", - "time": 20.0, - "period": 20.0, - "temperature": 43, - "dc_data": None, - "string": "Hold at 1V for 20 seconds", - "events": None, - "tags": None, - }, - { - "C-rate input [-]": -1, - "type": "C-rate", - "time": None, - "period": 20.0, - "temperature": 43, - "dc_data": None, - "string": "Charge at 1 C until 4.1V", - "events": {"Voltage input [V]": 4.1, "type": "voltage"}, - "tags": None, - }, - { - "Voltage input [V]": 4.1, - "type": "voltage", - "time": None, - "period": 20.0, - "temperature": 43, - "dc_data": None, - "string": "Hold at 4.1 V until 50mA", - "events": {"Current input [A]": 0.05, "type": "current"}, - "tags": None, - }, - { - "Voltage input [V]": 3, - "type": "voltage", - "time": None, - "period": 20.0, - "temperature": 43, - "dc_data": None, - "string": "Hold at 3V until C/50", - "events": {"C-rate input [-]": 0.02, "type": "C-rate"}, - "tags": None, - }, - { - "C-rate input [-]": 1 / 3, - "type": "C-rate", - "time": 7200.0, - "period": 20.0, - "temperature": 26, - "dc_data": None, - "string": "Discharge at C/3 for 2 hours or until 2.5 V at 26oC", - "events": {"Voltage input [V]": 2.5, "type": "voltage"}, - "tags": None, - }, - ] - - for expected, actual in zip(expected_result, experiment.operating_conditions): - for k in expected.keys(): - # useful form for debugging - self.assertEqual([k, expected[k]], [k, actual[k]]) - - # Calculation for operating conditions of drive cycle - time_0 = drive_cycle[:, 0][-1] - period_0 = np.min(np.diff(drive_cycle[:, 0])) - drive_cycle_1 = experiment.extend_drive_cycle(drive_cycle, end_time=300) - time_1 = drive_cycle_1[:, 0][-1] - period_1 = np.min(np.diff(drive_cycle_1[:, 0])) - drive_cycle_2 = experiment.extend_drive_cycle(drive_cycle, end_time=1800) - time_2 = drive_cycle_2[:, 0][-1] - period_2 = np.min(np.diff(drive_cycle_2[:, 0])) - # Check drive cycle operating conditions - np.testing.assert_array_equal( - experiment.operating_conditions[-3]["dc_data"], drive_cycle - ) - self.assertEqual(experiment.operating_conditions[-3]["type"], "current") - self.assertEqual(experiment.operating_conditions[-3]["time"], time_0) - self.assertEqual(experiment.operating_conditions[-3]["period"], period_0) - self.assertEqual(experiment.operating_conditions[-3]["temperature"], -5) - self.assertEqual(experiment.operating_conditions[-3]["tags"], None) - np.testing.assert_array_equal( - experiment.operating_conditions[-2]["dc_data"], drive_cycle_1 - ) - self.assertEqual(experiment.operating_conditions[-2]["type"], "voltage") - self.assertEqual(experiment.operating_conditions[-2]["time"], time_1) - self.assertEqual(experiment.operating_conditions[-2]["period"], period_1) - self.assertEqual(experiment.operating_conditions[-2]["tags"], None) - np.testing.assert_array_equal( - experiment.operating_conditions[-1]["dc_data"], drive_cycle_2 - ) - self.assertEqual(experiment.operating_conditions[-1]["type"], "power") - self.assertEqual(experiment.operating_conditions[-1]["time"], time_2) - self.assertEqual(experiment.operating_conditions[-1]["period"], period_2) - self.assertEqual(experiment.operating_conditions[-1]["tags"], None) - self.assertEqual(experiment.period, 20) - - def test_read_strings_cccv_combined(self): - experiment = pybamm.Experiment( - [ - ( - "Discharge at C/20 for 0.5 hours at 34 oC", - "Charge at 0.5 C until 1V at 32 oC", - "Hold at 1V until C/50 at 32 oC", - "Discharge at C/20 for 0.5 hours", - ), - ], - cccv_handling="ode", - ) - - expected_result = [ - { - "C-rate input [-]": 0.05, - "type": "C-rate", - "time": 1800.0, - "period": 60.0, - "temperature": 34.0, - "dc_data": None, - "string": "Discharge at C/20 for 0.5 hours at 34 oC", - "events": None, - "tags": None, - }, - { - "type": "CCCV", - "C-rate input [-]": -0.5, - "Voltage input [V]": 1, - "time": None, - "period": 60.0, - "temperature": 32.0, - "dc_data": None, - "string": "Charge at 0.5 C until 1V at 32 oC " - "then hold at 1V until C/50 at 32 oC", - "events": {"C-rate input [-]": 0.02, "type": "C-rate"}, - "tags": None, - }, - { - "C-rate input [-]": 0.05, - "type": "C-rate", - "time": 1800.0, - "period": 60.0, - "temperature": None, - "dc_data": None, - "string": "Discharge at C/20 for 0.5 hours", - "events": None, - "tags": None, - }, - ] - - for expected, actual in zip(expected_result, experiment.operating_conditions): - for k in expected.keys(): - self.assertEqual([k, expected[k]], [k, actual[k]]) - - # Cases that don't quite match shouldn't do CCCV setup - experiment = pybamm.Experiment( - [ - "Charge at 0.5 C until 2V", - "Hold at 1V until C/50", - ], - cccv_handling="ode", - ) - self.assertEqual( - experiment.operating_conditions, - [ - { - "C-rate input [-]": -0.5, - "type": "C-rate", - "time": None, - "period": 60.0, - "temperature": None, - "dc_data": None, - "string": "Charge at 0.5 C until 2V", - "events": {"Voltage input [V]": 2, "type": "voltage"}, - "tags": None, - }, - { - "Voltage input [V]": 1, - "type": "voltage", - "time": None, - "period": 60.0, - "temperature": None, - "dc_data": None, - "string": "Hold at 1V until C/50", - "events": {"C-rate input [-]": 0.02, "type": "C-rate"}, - "tags": None, - }, - ], - ) - experiment = pybamm.Experiment( - [ - "Charge at 0.5 C for 2 minutes", - "Hold at 1V until C/50", - ], - cccv_handling="ode", - ) - self.assertEqual( - experiment.operating_conditions, - [ - { - "C-rate input [-]": -0.5, - "type": "C-rate", - "time": 120.0, - "period": 60.0, - "temperature": None, - "dc_data": None, - "string": "Charge at 0.5 C for 2 minutes", - "events": None, - "tags": None, - }, - { - "Voltage input [V]": 1, - "type": "voltage", - "time": None, - "period": 60.0, - "temperature": None, - "dc_data": None, - "string": "Hold at 1V until C/50", - "events": {"C-rate input [-]": 0.02, "type": "C-rate"}, - "tags": None, - }, - ], - ) - def test_cycle_unpacking(self): experiment = pybamm.Experiment( [ @@ -362,51 +17,51 @@ def test_cycle_unpacking(self): ] ) self.assertEqual( - experiment.operating_conditions, + [step.to_dict() for step in experiment.operating_conditions_steps], [ { - "C-rate input [-]": 0.05, + "value": 0.05, "type": "C-rate", - "time": 1800.0, + "duration": 1800.0, "period": 60.0, "temperature": None, - "dc_data": None, - "string": "Discharge at C/20 for 0.5 hours", - "events": None, - "tags": None, + "description": "Discharge at C/20 for 0.5 hours", + "termination": [], + "tags": [], + "start_time": None, }, { - "C-rate input [-]": -0.2, + "value": -0.2, "type": "C-rate", - "time": 2700.0, + "duration": 2700.0, "period": 60.0, "temperature": None, - "dc_data": None, - "string": "Charge at C/5 for 45 minutes", - "events": None, - "tags": None, + "description": "Charge at C/5 for 45 minutes", + "termination": [], + "tags": [], + "start_time": None, }, { - "C-rate input [-]": 0.05, + "value": 0.05, "type": "C-rate", - "time": 1800.0, + "duration": 1800.0, "period": 60.0, "temperature": None, - "dc_data": None, - "string": "Discharge at C/20 for 0.5 hours", - "events": None, - "tags": None, + "description": "Discharge at C/20 for 0.5 hours", + "termination": [], + "tags": [], + "start_time": None, }, { - "C-rate input [-]": -0.2, + "value": -0.2, "type": "C-rate", - "time": 2700.0, + "duration": 2700.0, "period": 60.0, "temperature": None, - "dc_data": None, - "string": "Charge at C/5 for 45 minutes", - "events": None, - "tags": None, + "description": "Charge at C/5 for 45 minutes", + "termination": [], + "tags": [], + "start_time": None, }, ], ) @@ -427,58 +82,20 @@ def test_str_repr(self): ) def test_bad_strings(self): - with self.assertRaisesRegex(ValueError, "cccv_handling"): - pybamm.Experiment( - ["Discharge at 1 C for 20 seconds", "Charge at 0.5 W for 10 minutes"], - cccv_handling="bad", - ) with self.assertRaisesRegex( - TypeError, "Operating conditions should be strings or tuples of strings" + TypeError, "Operating conditions should be strings or _Step objects" ): pybamm.Experiment([1, 2, 3]) with self.assertRaisesRegex( - TypeError, "Operating conditions should be strings or tuples of strings" + TypeError, "Operating conditions should be strings or _Step objects" ): pybamm.Experiment([(1, 2, 3)]) - with self.assertRaisesRegex(ValueError, "Operating conditions must"): - pybamm.Experiment(["Discharge at 1 A at 2 hours"]) - with self.assertRaisesRegex(ValueError, "Instruction must be"): - pybamm.Experiment(["Run at 1 A for 2 hours"]) - with self.assertRaisesRegex(ValueError, "Type of drive cycle must be"): - pybamm.Experiment(["Run US06 for 2 hours"]) - with self.assertRaisesRegex(ValueError, "Instruction must be"): - pybamm.Experiment(["Run at at 1 A for 2 hours"]) - with self.assertRaisesRegex(ValueError, "Instruction must be"): - pybamm.Experiment(["Play at 1 A for 2 hours"]) - with self.assertRaisesRegex(ValueError, "Operating conditions must"): - pybamm.Experiment(["Do at 1 A"]) - with self.assertRaisesRegex(ValueError, "Instruction must be"): - pybamm.Experiment(["Run US06 at 1 A"]) - with self.assertRaisesRegex(ValueError, "Instruction"): - pybamm.Experiment(["Cell Charge at 1 A for 2 hours"]) - with self.assertRaisesRegex(ValueError, "units must be"): - pybamm.Experiment(["Discharge at 1 B for 2 hours"]) - with self.assertRaisesRegex(ValueError, "time units must be"): - pybamm.Experiment(["Discharge at 1 A for 2 years"]) - with self.assertRaisesRegex(ValueError, "More than one temperature found"): - pybamm.Experiment(["Discharge at 1 A for 2 hours at 25oC at 30oC"]) - with self.assertRaisesRegex( - ValueError, "The temperature for the CC and CV steps" - ): - pybamm.Experiment( - [ - ( - "Discharge at 1A until 3.2V at 24oC", - "Hold at 3.2V until C/50 at 27oC", - ) - ], - cccv_handling="ode", - ) - with self.assertRaisesRegex( - ValueError, "Temperature not written correctly on step" - ): - pybamm.Experiment(["Discharge at 1 A for 2 hours 25oC"]) + def test_deprecations(self): + with self.assertRaisesRegex(ValueError, "cccv_handling"): + pybamm.Experiment([], cccv_handling="something") + with self.assertRaisesRegex(ValueError, "drive_cycles"): + pybamm.Experiment([], drive_cycles="something") def test_termination(self): experiment = pybamm.Experiment(["Discharge at 1 C for 20 seconds"]) @@ -530,20 +147,21 @@ def test_termination(self): ) def test_search_tag(self): + s = pybamm.step.string experiment = pybamm.Experiment( [ - ("Discharge at 1C for 0.5 hours [tag1]",), - "Discharge at C/20 for 0.5 hours [tag2,tag3]", + (s("Discharge at 1C for 0.5 hours", tags=["tag1"]),), + s("Discharge at C/20 for 0.5 hours", tags=["tag2", "tag3"]), ( - "Charge at 0.5 C for 45 minutes [tag2]", - "Discharge at 1 A for 0.5 hours [tag3]", + s("Charge at 0.5 C for 45 minutes", tags=["tag2"]), + s("Discharge at 1 A for 0.5 hours", tags=["tag3"]), ), - "Charge at 200 mA for 45 minutes (1 minute period) [tag5]", + s("Charge at 200 mA for 45 minutes", tags=["tag5"]), ( - "Discharge at 1W for 0.5 hours [tag4]", - "Charge at 200mW for 45 minutes [tag4]", + s("Discharge at 1W for 0.5 hours", tags=["tag4"]), + s("Charge at 200mW for 45 minutes", tags=["tag4"]), ), - "Rest for 10 minutes (5 minute period) [tag1,tag3,tag4]", + s("Rest for 10 minutes", tags=["tag1", "tag3", "tag4"]), ] ) @@ -554,6 +172,52 @@ def test_search_tag(self): self.assertEqual(experiment.search_tag("tag5"), [3]) self.assertEqual(experiment.search_tag("no_tag"), []) + def test_no_initial_start_time(self): + s = pybamm.step.string + with self.assertRaisesRegex(ValueError, "first step must have a `start_time`"): + pybamm.Experiment( + [ + s("Rest for 1 hour"), + s("Rest for 1 hour", start_time=datetime(2023, 1, 1, 8, 0)), + ] + ) + + def test_set_next_start_time(self): + # Defined dummy experiment to access _set_next_start_time + experiment = pybamm.Experiment(["Rest for 1 hour"]) + raw_op = [ + pybamm.step._Step( + "current", 1, duration=3600, start_time=datetime(2023, 1, 1, 8, 0) + ), + pybamm.step._Step( + "current", 1, duration=3600, start_time=datetime(2023, 1, 1, 12, 0) + ), + pybamm.step._Step("current", 1, duration=3600, start_time=None), + pybamm.step._Step( + "current", 1, duration=3600, start_time=datetime(2023, 1, 1, 15, 0) + ), + ] + processed_op = experiment._set_next_start_time(raw_op) + + expected_next = [ + datetime(2023, 1, 1, 12, 0), + None, + datetime(2023, 1, 1, 15, 0), + None, + ] + + expected_end = [ + datetime(2023, 1, 1, 12, 0), + datetime(2023, 1, 1, 15, 0), + datetime(2023, 1, 1, 15, 0), + None, + ] + + for next, end, op in zip(expected_next, expected_end, processed_op): + # useful form for debugging + self.assertEqual(op.next_start_time, next) + self.assertEqual(op.end_time, end) + if __name__ == "__main__": print("Add -v for more debug output") diff --git a/tests/unit/test_experiments/test_experiment_steps.py b/tests/unit/test_experiments/test_experiment_steps.py new file mode 100644 index 0000000000..53b61d637f --- /dev/null +++ b/tests/unit/test_experiments/test_experiment_steps.py @@ -0,0 +1,275 @@ +# +# Test the experiment steps +# +import pybamm +import unittest +import numpy as np +from datetime import datetime + + +class TestExperimentSteps(unittest.TestCase): + def test_step(self): + step = pybamm.step._Step("current", 1, duration=3600) + self.assertEqual(step.type, "current") + self.assertEqual(step.value, 1) + self.assertEqual(step.duration, 3600) + self.assertEqual(step.termination, []) + self.assertEqual(step.period, None) + self.assertEqual(step.temperature, None) + self.assertEqual(step.tags, []) + self.assertEqual(step.start_time, None) + self.assertEqual(step.end_time, None) + self.assertEqual(step.next_start_time, None) + + step = pybamm.step._Step( + "voltage", + 1, + duration="1h", + termination="2.5V", + period="1 minute", + temperature=298.15, + tags="test", + start_time=datetime(2020, 1, 1, 0, 0, 0), + ) + self.assertEqual(step.type, "voltage") + self.assertEqual(step.value, 1) + self.assertEqual(step.duration, 3600) + self.assertEqual(step.termination, [{"type": "voltage", "value": 2.5}]) + self.assertEqual(step.period, 60) + self.assertEqual(step.temperature, 298.15) + self.assertEqual(step.tags, ["test"]) + self.assertEqual(step.start_time, datetime(2020, 1, 1, 0, 0, 0)) + + step = pybamm.step._Step("current", 1, temperature="298K") + self.assertEqual(step.temperature, 298) + + with self.assertRaisesRegex(ValueError, "temperature units"): + step = pybamm.step._Step("current", 1, temperature="298T") + + def test_specific_steps(self): + current = pybamm.step.current(1) + self.assertIsInstance(current, pybamm.step._Step) + self.assertEqual(current.type, "current") + self.assertEqual(current.value, 1) + self.assertEqual(str(current), repr(current)) + + c_rate = pybamm.step.c_rate(1) + self.assertIsInstance(c_rate, pybamm.step._Step) + self.assertEqual(c_rate.type, "C-rate") + self.assertEqual(c_rate.value, 1) + + voltage = pybamm.step.voltage(1) + self.assertIsInstance(voltage, pybamm.step._Step) + self.assertEqual(voltage.type, "voltage") + self.assertEqual(voltage.value, 1) + + rest = pybamm.step.rest() + self.assertIsInstance(rest, pybamm.step._Step) + self.assertEqual(rest.type, "current") + self.assertEqual(rest.value, 0) + + power = pybamm.step.power(1) + self.assertIsInstance(power, pybamm.step._Step) + self.assertEqual(power.type, "power") + self.assertEqual(power.value, 1) + + resistance = pybamm.step.resistance(1) + self.assertIsInstance(resistance, pybamm.step._Step) + self.assertEqual(resistance.type, "resistance") + self.assertEqual(resistance.value, 1) + + def test_step_string(self): + steps = [ + "Discharge at 1C for 0.5 hours", + "Discharge at C/20 for 1h (2 minute period)", + "Charge at 0.5 C for 45 minutes", + "Discharge at 1 A for 0.5 hours", + "Charge at 200 mA for 45 minutes", + "Discharge at 1W for 0.5 hours", + "Charge at 200mW for 45 minutes", + "Rest for 10 minutes", + "Hold at 1V for 20 seconds", + "Charge at 1 C until 4.1V", + "Hold at 4.1 V until 50mA", + "Hold at 3V until C/50", + "Discharge at C/3 for 2 hours or until 2.5 V", + ] + + expected_result = [ + { + "type": "C-rate", + "value": 1.0, + "duration": 1800.0, + "termination": [], + }, + { + "type": "C-rate", + "value": 0.05, + "duration": 3600.0, + "termination": [], + "period": 120, + }, + { + "type": "C-rate", + "value": -0.5, + "duration": 2700.0, + "termination": [], + }, + { + "value": 1.0, + "type": "current", + "duration": 1800.0, + "termination": [], + }, + { + "value": -0.2, + "type": "current", + "duration": 2700.0, + "termination": [], + }, + { + "value": 1.0, + "type": "power", + "duration": 1800.0, + "termination": [], + }, + { + "value": -0.2, + "type": "power", + "duration": 2700.0, + "termination": [], + }, + { + "value": 0, + "type": "current", + "duration": 600.0, + "termination": [], + }, + { + "value": 1, + "type": "voltage", + "duration": 20.0, + "termination": [], + }, + { + "type": "C-rate", + "value": -1, + "duration": None, + "termination": [{"type": "voltage", "value": 4.1}], + }, + { + "value": 4.1, + "type": "voltage", + "duration": None, + "termination": [{"type": "current", "value": 0.05}], + }, + { + "value": 3, + "type": "voltage", + "duration": None, + "termination": [{"type": "C-rate", "value": 0.02}], + }, + { + "type": "C-rate", + "value": 1 / 3, + "duration": 7200.0, + "termination": [{"type": "voltage", "value": 2.5}], + }, + ] + + for step, expected in zip(steps, expected_result): + actual = pybamm.step.string(step).to_dict() + for k in expected.keys(): + # useful form for debugging + self.assertEqual([k, expected[k]], [k, actual[k]]) + + with self.assertRaisesRegex(ValueError, "Period cannot be"): + pybamm.step.string( + "Discharge at 1C for 1 hour (1 minute period)", period=60 + ) + + with self.assertRaisesRegex(ValueError, "Temperature must be"): + pybamm.step.string("Discharge at 1C for 1 hour at 298.15oC") + + def test_drive_cycle(self): + # Import drive cycle from file + drive_cycle = np.array([np.arange(10), np.arange(10)]).T + + # Create steps + drive_cycle_step = pybamm.step.current(drive_cycle, temperature="-5oC") + # Check drive cycle operating conditions + self.assertEqual(drive_cycle_step.type, "current") + self.assertEqual(drive_cycle_step.duration, 9) + self.assertEqual(drive_cycle_step.period, 1) + self.assertEqual(drive_cycle_step.temperature, 273.15 - 5) + + bad_drive_cycle = np.ones((10, 3)) + with self.assertRaisesRegex(ValueError, "Drive cycle must be a 2-column array"): + pybamm.step.current(bad_drive_cycle) + + def test_drive_cycle_duration(self): + # Import drive cycle from file + drive_cycle = np.array([np.arange(10), np.arange(10)]).T + + # Check duration longer than drive cycle data + # Create steps + drive_cycle_step = pybamm.step.current( + drive_cycle, duration=20, temperature="-5oC" + ) + # Check drive cycle operating conditions + self.assertEqual(drive_cycle_step.type, "current") + self.assertEqual(drive_cycle_step.duration, 20) + self.assertEqual(drive_cycle_step.period, 1) + self.assertEqual(drive_cycle_step.temperature, 273.15 - 5) + + # Check duration shorter than drive cycle data + # Create steps + drive_cycle_step = pybamm.step.current( + drive_cycle, duration=5, temperature="-5oC" + ) + # Check drive cycle operating conditions + self.assertEqual(drive_cycle_step.type, "current") + self.assertEqual(drive_cycle_step.duration, 5) + self.assertEqual(drive_cycle_step.period, 1) + self.assertEqual(drive_cycle_step.temperature, 273.15 - 5) + + def test_bad_strings(self): + with self.assertRaisesRegex(TypeError, "Input to step.string"): + pybamm.step.string(1) + with self.assertRaisesRegex(TypeError, "Input to step.string"): + pybamm.step.string((1, 2, 3)) + with self.assertRaisesRegex(ValueError, "Operating conditions must"): + pybamm.step.string("Discharge at 1 A at 2 hours") + with self.assertRaisesRegex(ValueError, "drive cycles"): + pybamm.step.string("Run at 1 A for 2 hours") + with self.assertRaisesRegex(ValueError, "Instruction must be"): + pybamm.step.string("Play at 1 A for 2 hours") + with self.assertRaisesRegex(ValueError, "Operating conditions must"): + pybamm.step.string("Do at 1 A") + with self.assertRaisesRegex(ValueError, "Instruction"): + pybamm.step.string("Cell Charge at 1 A for 2 hours") + with self.assertRaisesRegex(ValueError, "units must be"): + pybamm.step.string("Discharge at 1 B for 2 hours") + with self.assertRaisesRegex(ValueError, "time units must be"): + pybamm.step.string("Discharge at 1 A for 2 years") + + def test_start_times(self): + # Test start_times + step = pybamm.step._Step( + "current", 1, duration=3600, start_time=datetime(2020, 1, 1, 0, 0, 0) + ) + self.assertEqual(step.start_time, datetime(2020, 1, 1, 0, 0, 0)) + + # Test bad start_times + with self.assertRaisesRegex(TypeError, "`start_time` should be"): + pybamm.step._Step("current", 1, duration=3600, start_time="bad start_time") + + +if __name__ == "__main__": + print("Add -v for more debug output") + import sys + + if "-v" in sys.argv: + debug = True + pybamm.settings.debug_mode = True + unittest.main() diff --git a/tests/unit/test_experiments/test_simulation_with_experiment.py b/tests/unit/test_experiments/test_simulation_with_experiment.py index a48f6f08e8..460d82c8c6 100644 --- a/tests/unit/test_experiments/test_simulation_with_experiment.py +++ b/tests/unit/test_experiments/test_simulation_with_experiment.py @@ -7,6 +7,7 @@ import numpy as np import os import unittest +from datetime import datetime class TestSimulationExperiment(TestCase): @@ -25,20 +26,20 @@ def test_set_up(self): C = model.default_parameter_values["Nominal cell capacity [A.h]"] self.assertEqual(sim.experiment.args, experiment.args) - op_conds = sim.experiment.operating_conditions - self.assertEqual(op_conds[0]["Current input [A]"], C / 20) - self.assertEqual(op_conds[1]["Current input [A]"], -1) - self.assertEqual(op_conds[2]["Voltage input [V]"], 4.1) - self.assertEqual(op_conds[3]["Power input [W]"], 2) + op_conds = sim.experiment.operating_conditions_steps + self.assertEqual(op_conds[0].value, C / 20) + self.assertEqual(op_conds[1].value, -1) + self.assertEqual(op_conds[2].value, 4.1) + self.assertEqual(op_conds[3].value, 2) Crate = 1 / C self.assertEqual( - [op["time"] for op in op_conds], + [op.duration for op in op_conds], [3600, 3 / Crate * 3600, 24 * 3600, 24 * 3600], ) - model_I = sim.op_string_to_model["Charge at 1 A until 4.1 V"] - model_V = sim.op_string_to_model["Hold at 4.1 V until 50 mA"] + model_I = sim.experiment_unique_steps_to_model[repr(op_conds[1])] # CC charge + model_V = sim.experiment_unique_steps_to_model[repr(op_conds[2])] # CV hold self.assertIn( "Current cut-off [A] [experiment]", [event.name for event in model_V.events], @@ -52,17 +53,35 @@ def test_set_up(self): with self.assertRaisesRegex(TypeError, "experiment must be"): pybamm.Simulation(model, experiment=0) + def test_setup_experiment_string_or_list(self): + model = pybamm.lithium_ion.SPM() + + sim = pybamm.Simulation(model, experiment="Discharge at C/20 for 1 hour") + sim.build_for_experiment() + self.assertEqual(len(sim.experiment.operating_conditions_steps), 1) + self.assertEqual( + sim.experiment.operating_conditions_steps[0].description, + "Discharge at C/20 for 1 hour", + ) + sim = pybamm.Simulation( + model, + experiment=["Discharge at C/20 for 1 hour", pybamm.step.rest(60)], + ) + sim.build_for_experiment() + self.assertEqual(len(sim.experiment.operating_conditions_steps), 2) + def test_run_experiment(self): + s = pybamm.step.string experiment = pybamm.Experiment( [ ( - "Discharge at C/20 for 1 hour at 30.5oC", - "Charge at 1 A until 4.1 V at 24oC", - "Hold at 4.1 V until C/2 at 24oC", + s("Discharge at C/20 for 1 hour", temperature="30.5oC"), + s("Charge at 1 A until 4.1 V", temperature="24oC"), + s("Hold at 4.1 V until C/2", temperature="24oC"), "Discharge at 2 W for 1 hour", ) ], - temperature=-14, + temperature="-14oC", ) model = pybamm.lithium_ion.SPM() sim = pybamm.Simulation(model, experiment=experiment) @@ -129,11 +148,12 @@ def test_run_experiment(self): os.remove("test_experiment.sav") def test_run_experiment_multiple_times(self): + s = pybamm.step.string experiment = pybamm.Experiment( [ ( - "Discharge at C/20 for 1 hour at 24oC", - "Charge at C/20 until 4.1 V at 26oC", + s("Discharge at C/20 for 1 hour", temperature="24oC"), + s("Charge at C/20 until 4.1 V", temperature="26oC"), ) ] * 3 @@ -148,49 +168,6 @@ def test_run_experiment_multiple_times(self): sol1["Voltage [V]"].data, sol2["Voltage [V]"].data ) - def test_run_experiment_cccv_ode(self): - experiment_2step = pybamm.Experiment( - [ - ( - "Discharge at C/20 for 1 hour at 20oC", - "Charge at 1 A until 4.1 V at 24oC", - "Hold at 4.1 V until C/2 at 24oC", - "Discharge at 2 W for 1 hour", - ), - ], - ) - experiment_ode = pybamm.Experiment( - [ - ( - "Discharge at C/20 for 1 hour at 20oC", - "Charge at 1 A until 4.1 V at 24oC", - "Hold at 4.1 V until C/2 at 24oC", - "Discharge at 2 W for 1 hour", - ), - ], - cccv_handling="ode", - ) - solutions = [] - for experiment in [experiment_2step, experiment_ode]: - model = pybamm.lithium_ion.SPM() - sim = pybamm.Simulation(model, experiment=experiment) - solution = sim.solve(solver=pybamm.CasadiSolver("fast with events")) - solutions.append(solution) - - t = solutions[1]["Time [s]"].data - np.testing.assert_array_almost_equal( - solutions[0]["Voltage [V]"](t=t), - solutions[1]["Voltage [V]"](t=t), - decimal=1, - ) - np.testing.assert_array_almost_equal( - solutions[0]["Current [A]"](t=t), - solutions[1]["Current [A]"](t=t), - decimal=0, - ) - - self.assertEqual(solutions[1].termination, "final time") - @unittest.skipIf(not pybamm.have_idaklu(), "idaklu solver is not installed") def test_run_experiment_cccv_solvers(self): experiment_2step = pybamm.Experiment( @@ -229,19 +206,19 @@ def test_run_experiment_drive_cycle(self): experiment = pybamm.Experiment( [ ( - "Run drive_cycle (A) at 35oC", - "Run drive_cycle (V)", - "Run drive_cycle (W)", + pybamm.step.current(drive_cycle, temperature="35oC"), + pybamm.step.voltage(drive_cycle), + pybamm.step.power(drive_cycle, termination="3 V"), ) ], - drive_cycles={"drive_cycle": drive_cycle}, ) model = pybamm.lithium_ion.SPM() sim = pybamm.Simulation(model, experiment=experiment) sim.build_for_experiment() - self.assertIn(("Run drive_cycle (A) at 35oC"), sim.op_string_to_model) - self.assertIn(("Run drive_cycle (V)"), sim.op_string_to_model) - self.assertIn(("Run drive_cycle (W)"), sim.op_string_to_model) + self.assertEqual( + sorted([repr(step) for step in experiment.operating_conditions_steps]), + sorted(list(sim.experiment_unique_steps_to_model.keys())), + ) def test_run_experiment_breaks_early_infeasible(self): experiment = pybamm.Experiment(["Discharge at 2 C for 1 hour"]) @@ -257,11 +234,12 @@ def test_run_experiment_breaks_early_infeasible(self): self.assertEqual(sim._solution.termination, "event: Minimum voltage [V]") def test_run_experiment_breaks_early_error(self): + s = pybamm.step.string experiment = pybamm.Experiment( [ ( "Rest for 10 minutes", - "Discharge at 20 C for 10 minutes (10 minute period)", + s("Discharge at 20 C for 10 minutes", period="10 minutes"), ) ] ) @@ -283,7 +261,7 @@ def test_run_experiment_breaks_early_error(self): experiment = pybamm.Experiment( [ "Rest for 10 minutes", - "Discharge at 20 C for 10 minutes (10 minute period)", + s("Discharge at 20 C for 10 minutes", period="10 minutes"), ] ) sim = pybamm.Simulation( @@ -599,6 +577,69 @@ def test_run_experiment_lead_acid(self): sim = pybamm.Simulation(model, experiment=experiment) sim.solve() + def test_padding_rest_model(self): + model = pybamm.lithium_ion.SPM() + + # Test no padding rest model if there are no start_times + experiment = pybamm.Experiment(["Rest for 1 hour"]) + sim = pybamm.Simulation(model, experiment=experiment) + sim.build_for_experiment() + self.assertNotIn( + "Rest for padding", sim.experiment_unique_steps_to_model.keys() + ) + + # Test padding rest model exists if there are start_times + experiment = pybamm.step.string( + "Rest for 1 hour", start_time=datetime(1, 1, 1, 8, 0, 0) + ) + sim = pybamm.Simulation(model, experiment=experiment) + sim.build_for_experiment() + self.assertIn("Rest for padding", sim.experiment_unique_steps_to_model.keys()) + # Check at least there is an input parameter (temperature) + self.assertGreater( + len(sim.experiment_unique_steps_to_model["Rest for padding"].parameters), 0 + ) + # Check the model is the same + self.assertIsInstance( + sim.experiment_unique_steps_to_model["Rest for padding"], + pybamm.lithium_ion.SPM, + ) + + def test_run_time_stamped_experiment(self): + model = pybamm.lithium_ion.SPM() + + # Test experiment is cut short if next_start_time is early + experiment = pybamm.Experiment( + [ + pybamm.step.string( + "Discharge at 0.5C for 1 hour", + start_time=datetime(2023, 1, 1, 8, 0, 0), + ), + pybamm.step.string( + "Rest for 1 hour", start_time=datetime(2023, 1, 1, 8, 30, 0) + ), + ] + ) + sim = pybamm.Simulation(model, experiment=experiment) + sol = sim.solve(calc_esoh=False) + self.assertEqual(sol["Time [s]"].entries[-1], 5400) + + # Test padding rest is added if time stamp is late + experiment = pybamm.Experiment( + [ + pybamm.step.string( + "Discharge at 0.5C for 1 hour", + start_time=datetime(2023, 1, 1, 8, 0, 0), + ), + pybamm.step.string( + "Rest for 1 hour", start_time=datetime(2023, 1, 1, 10, 0, 0) + ), + ] + ) + sim = pybamm.Simulation(model, experiment=experiment) + sol = sim.solve(calc_esoh=False) + self.assertEqual(sol["Time [s]"].entries[-1], 10800) + if __name__ == "__main__": print("Add -v for more debug output") diff --git a/tests/unit/test_parameters/test_bpx.py b/tests/unit/test_parameters/test_bpx.py index 6ac0bcc7ef..8288655b87 100644 --- a/tests/unit/test_parameters/test_bpx.py +++ b/tests/unit/test_parameters/test_bpx.py @@ -165,8 +165,26 @@ def test_constant_functions(self): def test_table_data(self): bpx_obj = copy.copy(self.base) + data = {"x": [0, 1], "y": [0, 1]} bpx_obj["Parameterisation"]["Electrolyte"].update( - {"Conductivity [S.m-1]": {"x": [800, 1000, 1200], "y": [0.9, 1, 1.1]}} + { + "Conductivity [S.m-1]": data, + "Diffusivity [m2.s-1]": data, + } + ) + bpx_obj["Parameterisation"]["Negative electrode"].update( + { + "Diffusivity [m2.s-1]": data, + "OCP [V]": data, + "Entropic change coefficient [V.K-1]": data, + } + ) + bpx_obj["Parameterisation"]["Positive electrode"].update( + { + "Diffusivity [m2.s-1]": data, + "OCP [V]": data, + "Entropic change coefficient [V.K-1]": data, + } ) filename = "tmp.json" @@ -179,7 +197,26 @@ def test_table_data(self): json.dump(bpx_obj, tmp) tmp.flush() - pybamm.ParameterValues.create_from_bpx(tmp.name) + param = pybamm.ParameterValues.create_from_bpx(tmp.name) + + # Check that the electrolyte conductivity is an Interpolant with the + # correct child + c = pybamm.Variable("c") + kappa = param["Electrolyte conductivity [S.m-1]"](c, 298.15) + self.assertIsInstance(kappa, pybamm.Interpolant) + self.assertEqual(kappa.children[0], c) + # Check other parameters give interpolants + D = param["Electrolyte diffusivity [m2.s-1]"](c, 298.15) + self.assertIsInstance(D, pybamm.Interpolant) + for electrode in ["Negative", "Positive"]: + D = param[f"{electrode} electrode diffusivity [m2.s-1]"](c, 298.15) + self.assertIsInstance(D, pybamm.Interpolant) + OCP = param[f"{electrode} electrode OCP [V]"](c) + self.assertIsInstance(OCP, pybamm.Interpolant) + dUdT = param[f"{electrode} electrode OCP entropic change [V.K-1]"]( + c, 10000 + ) + self.assertIsInstance(dUdT, pybamm.Interpolant) def test_bpx_soc_error(self): with self.assertRaisesRegex(ValueError, "Target SOC"): diff --git a/tests/unit/test_simulation.py b/tests/unit/test_simulation.py index 1bb600497a..83ec42ef6c 100644 --- a/tests/unit/test_simulation.py +++ b/tests/unit/test_simulation.py @@ -177,7 +177,9 @@ def test_solve_with_initial_soc(self): self.assertEqual(sim._built_initial_soc, 1) sim.solve(t_eval=[0, 600], initial_soc=0.5) self.assertEqual(sim._built_initial_soc, 0.5) - exp = pybamm.Experiment(["Discharge at 1C until 3.6V (1 minute period)"]) + exp = pybamm.Experiment( + [pybamm.step.string("Discharge at 1C until 3.6V", period="1 minute")] + ) sim = pybamm.Simulation(model, parameter_values=param, experiment=exp) sim.solve(initial_soc=0.8) self.assertEqual(sim._built_initial_soc, 0.8) @@ -306,9 +308,13 @@ def test_save_load_dae(self): sim.solve([0, 600]) sim.save("test.pickle") - # with Casadi solver + # with Casadi solver & experiment model.convert_to_format = "casadi" - sim = pybamm.Simulation(model, solver=pybamm.CasadiSolver()) + sim = pybamm.Simulation( + model, + experiment="Discharge at 1C for 20 minutes", + solver=pybamm.CasadiSolver(), + ) sim.solve([0, 600]) sim.save("test.pickle") sim_load = pybamm.load_sim("test.pickle") diff --git a/tox.ini b/tox.ini deleted file mode 100644 index 784d154946..0000000000 --- a/tox.ini +++ /dev/null @@ -1,77 +0,0 @@ -[tox] -envlist = {windows}-{tests,unit,dev},tests,unit,dev - -[testenv] -skipsdist = true -usedevelop = true -passenv = !windows-!mac: SUNDIALS_INST -whitelist_externals = !windows-!mac: sh -setenv = - !windows-!mac: SUNDIALS_INST = {env:SUNDIALS_INST:{homedir}/.local} - !windows-!mac: LD_LIBRARY_PATH = {homedir}/.local/lib{:}{env:LD_LIBRARY_PATH:} -deps = - dev-!windows-!mac: cmake - dev: black - doctests: sphinx>=1.5 - doctests: pydata-sphinx-theme - doctests: sphinx_design - doctests: sphinx-copybutton - doctests: myst-parser - !windows-!mac: scikits.odes - examples: jupyter # For example notebooks - -commands = - tests-!windows-!mac: sh -c "pybamm_install_jax" # install jax, jaxlib for ubuntu - unit-!windows-!mac: sh -c "pybamm_install_jax" # install jax, jaxlib for ubuntu - tests: python run-tests.py --all - unit: python run-tests.py --unit - integration: python run-tests.py --integration - examples: python run-tests.py --examples - dev-!windows-!mac: sh -c "echo export LD_LIBRARY_PATH={env:LD_LIBRARY_PATH} >> {envbindir}/activate" - doctests: python run-tests.py --doctest - -[testenv:pybamm-requires] -platform = [linux, darwin] -skip_install = true -passenv = HOME -whitelist_externals = git -deps = - wget - cmake -commands = - python {toxinidir}/scripts/install_KLU_Sundials.py - - git clone https://github.com/pybind/pybind11.git {toxinidir}/pybind11 - -[testenv:coverage] -deps = - coverage - scikits.odes -commands = - !windows-!mac: sh -c "pybamm_install_jax" - coverage run run-tests.py --nosub - # Some tests make use of multiple processes through - # multiprocessing. Coverage data is then generated for each - # process separately and data must then be combined into one - # single coverage data file. - coverage combine - coverage xml - -[testenv:docs] -skipdist = false -usedevelop = false -skip_install = false -deps = - sphinx>=1.5 - pydata-sphinx-theme - sphinx-autobuild - sphinx_design - sphinx-copybutton - myst-parser -changedir = docs -commands = sphinx-autobuild --open-browser -qT . {envtmpdir}/html - -[coverage:run] -source = pybamm -# By default coverage data isn't collected in forked processes, see -# https://coverage.readthedocs.io/en/coverage-5.3.1/subprocess.html -concurrency = multiprocessing diff --git a/vcpkg-configuration.json b/vcpkg-configuration.json index 907daeb464..27c1b0bcb1 100644 --- a/vcpkg-configuration.json +++ b/vcpkg-configuration.json @@ -7,7 +7,7 @@ { "kind": "git", "repository": "https://github.com/pybamm-team/sundials-vcpkg-registry.git", - "baseline": "8ce5391ccddb4b3d0bf01a037ece3a6d72a708da", + "baseline": "2aaffb6bba7bc0b50cb74ddad636832d673851a1", "packages": ["sundials"] }, { diff --git a/vcpkg.json b/vcpkg.json index dfc6d2eeab..2609370382 100644 --- a/vcpkg.json +++ b/vcpkg.json @@ -1,6 +1,6 @@ { "name": "pybamm", - "version-string": "23.4.1", + "version-string": "23.5", "dependencies": [ "casadi", { From 1aa8b8ad5c6553bfbeed9c1ba608578a19fbb25e Mon Sep 17 00:00:00 2001 From: Arjun Date: Sun, 18 Jun 2023 11:45:01 +0530 Subject: [PATCH 02/10] Apply suggestions from code review Co-authored-by: Saransh Chopra --- noxfile.py | 17 ++++------------- 1 file changed, 4 insertions(+), 13 deletions(-) diff --git a/noxfile.py b/noxfile.py index 61c642b7fd..5656c917ca 100644 --- a/noxfile.py +++ b/noxfile.py @@ -3,7 +3,7 @@ import sys -@nox.session(name="pybamm-requires") +@nox.session(name="pybamm-requires", reuse_venv=True) def run_pybamm_requires(session): homedir = os.getenv("HOME") session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") @@ -22,7 +22,7 @@ def run_pybamm_requires(session): ) -@nox.session(name="coverage") +@nox.session(name="coverage", reuse_venv=True) def run_coverage(session): homedir = os.getenv("HOME") session.env["SUNDIALS_INST"] = session.env.get("SUNDIALS_INST", f"{homedir}/.local") @@ -46,7 +46,7 @@ def run_integration(session): session.env[ "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" - session.run("pip", "install", "-e", ".") + session.run("pip", "install", "-e", ".[dev]") if sys.platform == "linux": session.install("scikits.odes") session.run("python", "run-tests.py", "--integration") @@ -111,16 +111,7 @@ def run_tests(session): @nox.session(name="docs", reuse_venv=True) def build_docs(session): envbindir = session.bin - session.run("pip", "install", "-e", ".") - session.install( - "sphinx>=1.5", - "pydata-sphinx-theme", - "sphinx-autobuild", - "sphinx_design", - "sphinx-copybutton", - "myst-parser", - "sphinx-inline-tabs", - ) + session.run("pip", "install", "-e", ".[docs]") session.chdir("docs/") session.run( "sphinx-autobuild", "--open-browser", "-qT", ".", f"{envbindir}/../tmp/html" From 31571da37212a6d14ca07b80df6d26f7bf86198d Mon Sep 17 00:00:00 2001 From: "arjxn.py" Date: Sun, 18 Jun 2023 11:53:15 +0530 Subject: [PATCH 03/10] Use `session.install` instead of `session.run` --- noxfile.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/noxfile.py b/noxfile.py index 5656c917ca..170af9b517 100644 --- a/noxfile.py +++ b/noxfile.py @@ -30,7 +30,7 @@ def run_coverage(session): "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("coverage") - session.run("pip", "install", "-e", ".") + session.install("-e", ".") if sys.platform != "win32" or sys.platform != "darwin": session.install("scikits.odes") session.run("pybamm_install_jax") @@ -46,7 +46,7 @@ def run_integration(session): session.env[ "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" - session.run("pip", "install", "-e", ".[dev]") + session.install("-e", ".[dev]") if sys.platform == "linux": session.install("scikits.odes") session.run("python", "run-tests.py", "--integration") @@ -54,7 +54,7 @@ def run_integration(session): @nox.session(name="doctests", reuse_venv=True) def run_doctests(session): - session.run("pip", "install", "-e", ".[docs]") + session.install("-e", ".[docs]") session.run("python", "run-tests.py", "--doctest") @@ -65,7 +65,7 @@ def run_unit(session): session.env[ "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" - session.run("pip", "install", "-e", ".") + session.install("-e", ".") if sys.platform == "linux": session.run("pybamm_install_jax") session.install("scikits.odes") @@ -74,7 +74,7 @@ def run_unit(session): @nox.session(name="examples", reuse_venv=True) def run_examples(session): - session.run("pip", "install", "-e", ".[dev]") + session.install("-e", ".[dev]") session.run("python", "run-tests.py", "--examples") @@ -83,7 +83,7 @@ def set_dev(session): homedir = os.getenv("HOME") LD_LIBRARY_PATH = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" envbindir = session.bin - session.run("pip", "install", "-e", ".[dev]") + session.install("-e", ".[dev]") session.install("cmake") session.run( "echo", @@ -101,7 +101,7 @@ def run_tests(session): session.env[ "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" - session.run("pip", "install", "-e", ".") + session.install("-e", ".") if sys.platform == "linux": session.run("pybamm_install_jax") session.install("scikits.odes") @@ -111,7 +111,7 @@ def run_tests(session): @nox.session(name="docs", reuse_venv=True) def build_docs(session): envbindir = session.bin - session.run("pip", "install", "-e", ".[docs]") + session.install("-e", ".[docs]") session.chdir("docs/") session.run( "sphinx-autobuild", "--open-browser", "-qT", ".", f"{envbindir}/../tmp/html" From 94d8feea818c6de3664f8d097d794a2f4af745a2 Mon Sep 17 00:00:00 2001 From: "arjxn.py" Date: Sun, 18 Jun 2023 12:16:38 +0530 Subject: [PATCH 04/10] Remove pybind11 if exist in pybamm-requires --- noxfile.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/noxfile.py b/noxfile.py index 170af9b517..2b5bfca0bc 100644 --- a/noxfile.py +++ b/noxfile.py @@ -13,6 +13,8 @@ def run_pybamm_requires(session): if sys.platform != "win32" or sys.platform != "darwin": session.install("wget", "cmake") session.run("python", "scripts/install_KLU_Sundials.py") + if os.path.exists('./pybind11'): + os.rmdir('./pybind11') session.run( "git", "clone", From 5c358999879c1eaa32fd5af96f70a1f195cd74ba Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Sun, 18 Jun 2023 06:47:06 +0000 Subject: [PATCH 05/10] style: pre-commit fixes --- noxfile.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/noxfile.py b/noxfile.py index 2b5bfca0bc..bbdca81482 100644 --- a/noxfile.py +++ b/noxfile.py @@ -13,8 +13,8 @@ def run_pybamm_requires(session): if sys.platform != "win32" or sys.platform != "darwin": session.install("wget", "cmake") session.run("python", "scripts/install_KLU_Sundials.py") - if os.path.exists('./pybind11'): - os.rmdir('./pybind11') + if os.path.exists("./pybind11"): + os.rmdir("./pybind11") session.run( "git", "clone", From 213b9bf043df8e1c2c622b89cfff8f5a08379983 Mon Sep 17 00:00:00 2001 From: "arjxn.py" Date: Mon, 19 Jun 2023 20:45:20 +0530 Subject: [PATCH 06/10] Fix skipping tests for macos --- noxfile.py | 25 ++++++++++++------------- 1 file changed, 12 insertions(+), 13 deletions(-) diff --git a/noxfile.py b/noxfile.py index bbdca81482..b9a217086a 100644 --- a/noxfile.py +++ b/noxfile.py @@ -13,15 +13,14 @@ def run_pybamm_requires(session): if sys.platform != "win32" or sys.platform != "darwin": session.install("wget", "cmake") session.run("python", "scripts/install_KLU_Sundials.py") - if os.path.exists("./pybind11"): - os.rmdir("./pybind11") - session.run( - "git", - "clone", - "https://github.com/pybind/pybind11.git", - "pybind11/", - external=True, - ) + if not os.path.exists("./pybind11"): + session.run( + "git", + "clone", + "https://github.com/pybind/pybind11.git", + "pybind11/", + external=True, + ) @nox.session(name="coverage", reuse_venv=True) @@ -33,7 +32,7 @@ def run_coverage(session): ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("coverage") session.install("-e", ".") - if sys.platform != "win32" or sys.platform != "darwin": + if sys.platform != "win32": session.install("scikits.odes") session.run("pybamm_install_jax") session.run("coverage", "run", "--rcfile=.coveragerc", "run-tests.py", "--nosub") @@ -49,7 +48,7 @@ def run_integration(session): "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("-e", ".[dev]") - if sys.platform == "linux": + if sys.platform == "linux" or sys.platform == "darwin": session.install("scikits.odes") session.run("python", "run-tests.py", "--integration") @@ -68,7 +67,7 @@ def run_unit(session): "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("-e", ".") - if sys.platform == "linux": + if sys.platform == "linux" or sys.platform == "darwin": session.run("pybamm_install_jax") session.install("scikits.odes") session.run("python", "run-tests.py", "--unit") @@ -104,7 +103,7 @@ def run_tests(session): "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("-e", ".") - if sys.platform == "linux": + if sys.platform == "linux" or sys.platform == "darwin": session.run("pybamm_install_jax") session.install("scikits.odes") session.run("python", "run-tests.py", "--all") From 33e1229b2319ef5fa4892a6406a1934789f477e2 Mon Sep 17 00:00:00 2001 From: "arjxn.py" Date: Mon, 19 Jun 2023 22:00:43 +0530 Subject: [PATCH 07/10] Skip installing odes on macos --- noxfile.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/noxfile.py b/noxfile.py index b9a217086a..ae16d6a608 100644 --- a/noxfile.py +++ b/noxfile.py @@ -10,7 +10,7 @@ def run_pybamm_requires(session): session.env[ "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" - if sys.platform != "win32" or sys.platform != "darwin": + if sys.platform != "win32": session.install("wget", "cmake") session.run("python", "scripts/install_KLU_Sundials.py") if not os.path.exists("./pybind11"): @@ -48,7 +48,7 @@ def run_integration(session): "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("-e", ".[dev]") - if sys.platform == "linux" or sys.platform == "darwin": + if sys.platform == "linux": session.install("scikits.odes") session.run("python", "run-tests.py", "--integration") @@ -67,7 +67,7 @@ def run_unit(session): "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" session.install("-e", ".") - if sys.platform == "linux" or sys.platform == "darwin": + if sys.platform == "linux": session.run("pybamm_install_jax") session.install("scikits.odes") session.run("python", "run-tests.py", "--unit") From ca2aa25800f4a3a8be52f236755ff6e3b9e17c7c Mon Sep 17 00:00:00 2001 From: "arjxn.py" Date: Fri, 23 Jun 2023 20:48:44 +0530 Subject: [PATCH 08/10] Throwing error for windows --- noxfile.py | 2 ++ setup.py | 1 + 2 files changed, 3 insertions(+) diff --git a/noxfile.py b/noxfile.py index ae16d6a608..bc033d530d 100644 --- a/noxfile.py +++ b/noxfile.py @@ -21,6 +21,8 @@ def run_pybamm_requires(session): "pybind11/", external=True, ) + else: + session.error("nox -s pybamm-requires is only available on Linux & MacOS.") @nox.session(name="coverage", reuse_venv=True) diff --git a/setup.py b/setup.py index d706cef772..e5bc9cf6d8 100644 --- a/setup.py +++ b/setup.py @@ -231,6 +231,7 @@ def compile_KLU(): "myst-parser", "sphinx-inline-tabs", "sphinxcontrib-bibtex", + "sphinx-autobuild" ], # For doc generation "dev": [ "pre-commit", # For code style checking From 9339efe8322791fe0d42f2db397b30d8eeb40761 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 23 Jun 2023 15:19:12 +0000 Subject: [PATCH 09/10] style: pre-commit fixes --- setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/setup.py b/setup.py index e5bc9cf6d8..a5e3748480 100644 --- a/setup.py +++ b/setup.py @@ -231,7 +231,7 @@ def compile_KLU(): "myst-parser", "sphinx-inline-tabs", "sphinxcontrib-bibtex", - "sphinx-autobuild" + "sphinx-autobuild", ], # For doc generation "dev": [ "pre-commit", # For code style checking From d526dfc76246501206077fa6a4dde790cd7980a5 Mon Sep 17 00:00:00 2001 From: Saransh Chopra Date: Mon, 26 Jun 2023 18:55:27 -0400 Subject: [PATCH 10/10] Update noxfile.py --- noxfile.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/noxfile.py b/noxfile.py index bc033d530d..5e34100dea 100644 --- a/noxfile.py +++ b/noxfile.py @@ -104,7 +104,7 @@ def run_tests(session): session.env[ "LD_LIBRARY_PATH" ] = f"{homedir}/.local/lib:{session.env.get('LD_LIBRARY_PATH')}" - session.install("-e", ".") + session.install("-e", ".[dev]") if sys.platform == "linux" or sys.platform == "darwin": session.run("pybamm_install_jax") session.install("scikits.odes")