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[BUG] nested types is_monotonic* exception in cudf #7653

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karthikeyann opened this issue Mar 19, 2021 · 5 comments
Closed

[BUG] nested types is_monotonic* exception in cudf #7653

karthikeyann opened this issue Mar 19, 2021 · 5 comments
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bug Something isn't working Python Affects Python cuDF API.

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@karthikeyann
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karthikeyann commented Mar 19, 2021

Describe the bug
C++ exceptions are thrown during autocomplete in python of nested type columns with more than one element (struct, list).

Steps/Code to reproduce bug

def attributes(obj):
    names=[]
    for name in dir(obj):
        try:
            hasattr(obj, name)
        except:
            print(name)
            names.append(name)
    return names

import cudf
struct_series = cudf.Series([ {"Int": -1}, {"Int": 1}, {"Int": None} ])
list_series = cudf.Series([[1, 2, 3], [1, 2], [None, 1] ])
attributes(struct_series)
attributes(list_series)
_constructor_sliced
../../../../include/cudf/table/row_operators.cuh:294: cudf::weak_ordering cudf::element_relational_comparator<has_nulls>::operator()(signed int, signed int) [with Element = cudf::struct_view, <unnamed> = (void *)nullptr, has_nulls = false]: block: [0,0,0], thread: [0,0,0] Assertion `false && "Attempted to compare elements of uncomparable types."` failed.
../../../../include/cudf/table/row_operators.cuh:294: cudf::weak_ordering cudf::element_relational_comparator<has_nulls>::operator()(signed int, signed int) [with Element = cudf::struct_view, <unnamed> = (void *)nullptr, has_nulls = false]: block: [0,0,0], thread: [1,0,0] Assertion `false && "Attempted to compare elements of uncomparable types."` failed.
is_monotonic
is_monotonic_decreasing
is_monotonic_increasing
is_unique
nullmask
values
values_host

Expected behavior
No C++ exceptions should be thrown during autocomplete.

Environment overview (please complete the following information)

  • Environment location: Bare-metal
  • Method of cuDF install: from source

Environment details

Click here to see environment details
 **git***
 commit 6fe8b1b7be71c0f3587d3ef43c535aec376d1e45 (HEAD -> branch-0.19)
 Author: Mark Harris <[email protected]>
 Date:   Fri Mar 19 21:03:56 2021 +1100
 
 Eliminate literal parameters to uvector::set_element_async and device_scalar::set_value (#7563)
 
 After rapidsai/rmm#725 is merged, this PR updates cuspatial to eliminate passing literal values to `device_scalar::set_value`.
 
 Note there are still similar issues with uses of `cudf::scalar` that need to be addressed. But I wanted to get this open before the end of the week. This can be merged after RMM 725 is merged to fix the build, so I think the `scalar` issues should be fixed separately.
 
 Authors:
 - Mark Harris (@harrism)
 
 Approvers:
 - Devavret Makkar (@devavret)
 - Paul Taylor (@trxcllnt)
 - Mike Wilson (@hyperbolic2346)
 
 URL: https://github.com/rapidsai/cudf/pull/7563
 **git submodules***
 
 ***OS Information***
 DISTRIB_ID=Ubuntu
 DISTRIB_RELEASE=18.04
 DISTRIB_CODENAME=bionic
 DISTRIB_DESCRIPTION="Ubuntu 18.04.5 LTS"
 NAME="Ubuntu"
 VERSION="18.04.5 LTS (Bionic Beaver)"
 ID=ubuntu
 ID_LIKE=debian
 PRETTY_NAME="Ubuntu 18.04.5 LTS"
 VERSION_ID="18.04"
 HOME_URL="https://www.ubuntu.com/"
 SUPPORT_URL="https://help.ubuntu.com/"
 BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
 PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
 VERSION_CODENAME=bionic
 UBUNTU_CODENAME=bionic
 Linux knataraj-ws 4.15.0-137-generic #141-Ubuntu SMP Fri Feb 19 13:46:27 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux
 
 ***GPU Information***
 Fri Mar 19 21:29:16 2021
 +-----------------------------------------------------------------------------+
 | NVIDIA-SMI 440.100      Driver Version: 440.100      CUDA Version: 10.2     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 |===============================+======================+======================|
 |   0  Quadro GV100        Off  | 00000000:15:00.0 Off |                  Off |
 | 36%   48C    P2    39W / 250W |      0MiB / 32508MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 |   1  Quadro GV100        Off  | 00000000:2D:00.0 Off |                  Off |
 | 41%   55C    P2    40W / 250W |    208MiB / 32498MiB |      0%      Default |
 +-------------------------------+----------------------+----------------------+
 
 +-----------------------------------------------------------------------------+
 | Processes:                                                       GPU Memory |
 |  GPU       PID   Type   Process name                             Usage      |
 |=============================================================================|
 |    1      1410      G   /usr/lib/xorg/Xorg                           125MiB |
 |    1      1891      G   /usr/bin/gnome-shell                          81MiB |
 +-----------------------------------------------------------------------------+
 
 ***CPU***
 Architecture:        x86_64
 CPU op-mode(s):      32-bit, 64-bit
 Byte Order:          Little Endian
 CPU(s):              12
 On-line CPU(s) list: 0-11
 Thread(s) per core:  2
 Core(s) per socket:  6
 Socket(s):           1
 NUMA node(s):        1
 Vendor ID:           GenuineIntel
 CPU family:          6
 Model:               85
 Model name:          Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz
 Stepping:            4
 CPU MHz:             1200.199
 CPU max MHz:         3700.0000
 CPU min MHz:         1200.0000
 BogoMIPS:            6800.00
 Virtualization:      VT-x
 L1d cache:           32K
 L1i cache:           32K
 L2 cache:            1024K
 L3 cache:            19712K
 NUMA node0 CPU(s):   0-11
 Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d
 
 ***CMake***
 /home/karthikeyan/miniconda3/envs/cudf_dev/bin/cmake
 cmake version 3.18.5
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/local/bin/g++
 g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
 Copyright (C) 2017 Free Software Foundation, Inc.
 This is free software; see the source for copying conditions.  There is NO
 warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 
 
 ***nvcc***
 /usr/local/bin/nvcc
 nvcc: NVIDIA (R) Cuda compiler driver
 Copyright (c) 2005-2019 NVIDIA Corporation
 Built on Wed_Oct_23_19:24:38_PDT_2019
 Cuda compilation tools, release 10.2, V10.2.89
 
 ***Python***
 /home/karthikeyan/miniconda3/envs/cudf_dev/bin/python
 Python 3.7.10
 
 ***Environment Variables***
 PATH                            : /home/karthikeyan/miniconda3/envs/cudf_dev/bin:/usr/local/bin:/usr/local/cuda-10.2/bin:/home/karthikeyan/.vscode-server-insiders/bin/e4b1e9ac57ab3cc942ab9bff09967bf3238a7910/bin:/home/karthikeyan/bin:/home/karthikeyan/.local/bin:/home/karthikeyan/miniconda3/condabin:/usr/local/bin:/usr/local/cuda-10.2/bin:/home/karthikeyan/.vscode-server-insiders/bin/e4b1e9ac57ab3cc942ab9bff09967bf3238a7910/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/local/cuda/bin:/home/karthikeyan/miniconda3/bin:/home/karthikeyan/.local/bin:/usr/local/cuda/bin:/home/karthikeyan/miniconda3/bin:/home/karthikeyan/.local/bin
 LD_LIBRARY_PATH                 : /usr/local/cuda-10.2/lib64:/usr/local/cuda-10.2/lib64:/home/karthikeyan/4cudf/cpp/build:/home/karthikeyan/4cudf/cpp/build/release
 NUMBAPRO_NVVM                   :
 NUMBAPRO_LIBDEVICE              :
 CONDA_PREFIX                    : /home/karthikeyan/miniconda3/envs/cudf_dev
 PYTHON_PATH                     :
 
 ***conda packages***
 /home/karthikeyan/miniconda3/condabin/conda
 # packages in environment at /home/karthikeyan/miniconda3/envs/cudf_dev:
 #
 # Name                    Version                   Build  Channel
 _libgcc_mutex             0.1                 conda_forge    conda-forge
 _openmp_mutex             4.5                       1_gnu    conda-forge
 abseil-cpp                20200225.2           he1b5a44_2    conda-forge
 alabaster                 0.7.12                     py_0    conda-forge
 apipkg                    1.5                        py_0    conda-forge
 appdirs                   1.4.4              pyh9f0ad1d_0    conda-forge
 argon2-cffi               20.1.0           py37h4abf009_2    conda-forge
 arrow-cpp                 1.0.1           py37h9631afc_16_cuda    conda-forge
 arrow-cpp-proc            3.0.0                      cuda    conda-forge
 async_generator           1.10                       py_0    conda-forge
 attrs                     20.3.0             pyhd3deb0d_0    conda-forge
 aws-c-common              0.4.59               h36c2ea0_1    conda-forge
 aws-c-event-stream        0.1.6                had2084c_6    conda-forge
 aws-checksums             0.1.10               h4e93380_0    conda-forge
 aws-sdk-cpp               1.8.70               h57dc084_1    conda-forge
 babel                     2.9.0              pyhd3deb0d_0    conda-forge
 backcall                  0.2.0              pyh9f0ad1d_0    conda-forge
 backports                 1.0                        py_2    conda-forge
 backports.functools_lru_cache 1.6.1                      py_0    conda-forge
 beautifulsoup4            4.9.3              pyhb0f4dca_0
 black                     19.10b0                    py_4    conda-forge
 blas                      1.0                         mkl
 bleach                    3.2.1              pyh9f0ad1d_0    conda-forge
 bokeh                     2.2.3            py37h89c1867_0    conda-forge
 boost-cpp                 1.74.0               h9d3c048_1    conda-forge
 brotli                    1.0.9                he1b5a44_3    conda-forge
 brotlipy                  0.7.0           py37hb5d75c8_1001    conda-forge
 bzip2                     1.0.8                h7f98852_4    conda-forge
 c-ares                    1.17.1               h36c2ea0_0    conda-forge
 ca-certificates           2020.12.5            ha878542_0    conda-forge
 cachetools                4.2.1              pyhd8ed1ab_0    conda-forge
 certifi                   2020.12.5        py37h89c1867_1    conda-forge
 cffi                      1.14.4           py37hc58025e_1    conda-forge
 cfgv                      3.2.0                      py_0    conda-forge
 chardet                   3.0.4           py37he5f6b98_1008    conda-forge
 clang                     8.0.1                hc9558a2_2    conda-forge
 clang-tools               8.0.1                hc9558a2_2    conda-forge
 clangxx                   8.0.1                         2    conda-forge
 click                     7.1.2              pyh9f0ad1d_0    conda-forge
 cloudpickle               1.6.0                      py_0    conda-forge
 cmake                     3.18.5               h1f3970d_0    rapidsai-nightly
 cmake_setuptools          0.1.3                      py_0    rapidsai
 colorama                  0.4.4              pyh9f0ad1d_0    conda-forge
 commonmark                0.9.1                      py_0    conda-forge
 cryptography              3.3.1            py37h7f0c10b_0    conda-forge
 cudatoolkit               10.2.89              h6bb024c_0    nvidia
 cudnn                     7.6.5                cuda10.2_0
 cupy                      8.1.0            py37hd81ff16_0    conda-forge
 cython                    0.29.22          py37hcd2ae1e_0    conda-forge
 cytoolz                   0.11.0           py37h4abf009_1    conda-forge
 dask                      2021.3.0+33.gc19a56a2          pypi_0    pypi
 decorator                 4.4.2                      py_0    conda-forge
 defusedxml                0.6.0                      py_0    conda-forge
 distlib                   0.3.1              pyh9f0ad1d_0    conda-forge
 distributed               2021.3.0+18.g98148cbf          pypi_0    pypi
 dlpack                    0.3                  he1b5a44_1    conda-forge
 docutils                  0.16             py37he5f6b98_2    conda-forge
 double-conversion         3.1.5                he1b5a44_2    conda-forge
 editdistance              0.5.3            py37h3340039_2    conda-forge
 entrypoints               0.3             pyhd8ed1ab_1003    conda-forge
 execnet                   1.8.0              pyh44b312d_0    conda-forge
 expat                     2.2.9                he1b5a44_2    conda-forge
 fastavro                  1.3.3            py37h5e8e339_0    conda-forge
 fastrlock                 0.5              py37h3340039_1    conda-forge
 filelock                  3.0.12             pyh9f0ad1d_0    conda-forge
 flake8                    3.8.3                      py_1    conda-forge
 flatbuffers               1.12.0               h58526e2_0    conda-forge
 freetype                  2.10.4               h7ca028e_0    conda-forge
 fsspec                    0.8.7              pyhd8ed1ab_0    conda-forge
 future                    0.18.2           py37h89c1867_2    conda-forge
 gflags                    2.2.2             he1b5a44_1004    conda-forge
 glog                      0.4.0                h49b9bf7_3    conda-forge
 gmp                       6.2.1                h58526e2_0    conda-forge
 grpc-cpp                  1.33.2               h1870a98_1    conda-forge
 heapdict                  1.0.1                      py_0    conda-forge
 hypothesis                6.8.1              pyhd8ed1ab_0    conda-forge
 icu                       68.1                 h58526e2_0    conda-forge
 identify                  1.5.10             pyhd3deb0d_0    conda-forge
 idna                      2.10               pyh9f0ad1d_0    conda-forge
 imagesize                 1.2.0                      py_0    conda-forge
 importlib-metadata        2.0.0                      py_1    conda-forge
 importlib_metadata        2.0.0                         1    conda-forge
 iniconfig                 1.1.1              pyh9f0ad1d_0    conda-forge
 intel-openmp              2020.2                      254
 ipykernel                 5.3.4            py37h888b3d9_1    conda-forge
 ipython                   7.21.0           py37h888b3d9_0    conda-forge
 ipython_genutils          0.2.0                      py_1    conda-forge
 isort                     5.0.7            py37hc8dfbb8_0    conda-forge
 jedi                      0.17.2           py37h89c1867_1    conda-forge
 jinja2                    2.11.2             pyh9f0ad1d_0    conda-forge
 jpeg                      9d                   h36c2ea0_0    conda-forge
 jsonschema                3.2.0                      py_2    conda-forge
 jupyter_client            6.1.7                      py_0    conda-forge
 jupyter_core              4.7.0            py37h89c1867_0    conda-forge
 jupyterlab_pygments       0.1.2              pyh9f0ad1d_0    conda-forge
 krb5                      1.17.2               h926e7f8_0    conda-forge
 lcms2                     2.11                 hcbb858e_1    conda-forge
 ld_impl_linux-64          2.35.1               hed1e6ac_0    conda-forge
 libcurl                   7.71.1               hcdd3856_8    conda-forge
 libedit                   3.1.20191231         he28a2e2_2    conda-forge
 libev                     4.33                 h516909a_1    conda-forge
 libevent                  2.1.10               hcdb4288_3    conda-forge
 libffi                    3.3                  h58526e2_2    conda-forge
 libgcc-ng                 9.3.0               h5dbcf3e_17    conda-forge
 libgfortran-ng            7.3.0                hdf63c60_0
 libgomp                   9.3.0               h5dbcf3e_17    conda-forge
 libllvm10                 10.0.1               he513fc3_3    conda-forge
 libllvm8                  8.0.1                hc9558a2_0    conda-forge
 libnghttp2                1.41.0               h8cfc5f6_2    conda-forge
 libpng                    1.6.37               h21135ba_2    conda-forge
 libprotobuf               3.13.0.1             h8b12597_0    conda-forge
 librmm                    0.19.0a210303   cuda10.2_gbbc3e97_34    rapidsai-nightly
 libsodium                 1.0.18               h36c2ea0_1    conda-forge
 libssh2                   1.9.0                hab1572f_5    conda-forge
 libstdcxx-ng              9.3.0               h2ae2ef3_17    conda-forge
 libthrift                 0.13.0               h5aa387f_6    conda-forge
 libtiff                   4.1.0                h4f3a223_6    conda-forge
 libutf8proc               2.6.0                h36c2ea0_0    conda-forge
 libuv                     1.40.0               hd18ef5c_0    conda-forge
 libwebp-base              1.1.0                h36c2ea0_3    conda-forge
 llvmlite                  0.35.0           py37h9d7f4d0_0    conda-forge
 locket                    0.2.0                      py_2    conda-forge
 lz4-c                     1.9.2                he1b5a44_3    conda-forge
 markdown                  3.3.3              pyh9f0ad1d_0    conda-forge
 markupsafe                1.1.1            py37hb5d75c8_2    conda-forge
 mccabe                    0.6.1                      py_1    conda-forge
 mimesis                   4.0.0              pyh9f0ad1d_0    conda-forge
 mistune                   0.8.4           py37h4abf009_1002    conda-forge
 mkl                       2020.2                      256
 mkl-service               2.3.0            py37he8ac12f_0
 mkl_fft                   1.2.1            py37h54f3939_0
 mkl_random                1.1.1            py37h0573a6f_0
 more-itertools            8.6.0              pyhd8ed1ab_0    conda-forge
 msgpack-python            1.0.0            py37hc928c03_2    conda-forge
 mypy                      0.782                      py_0    conda-forge
 mypy_extensions           0.4.3            py37h89c1867_3    conda-forge
 nbclient                  0.5.1                      py_0    conda-forge
 nbconvert                 6.0.7            py37h89c1867_3    conda-forge
 nbformat                  5.0.8                      py_0    conda-forge
 nbsphinx                  0.8.1              pyh44b312d_0    conda-forge
 nccl                      2.8.3.1              h1a5f58c_0    conda-forge
 ncurses                   6.2                  h58526e2_4    conda-forge
 nest-asyncio              1.4.3              pyhd8ed1ab_0    conda-forge
 ninjavis                  0.2.1                    pypi_0    pypi
 nodeenv                   1.5.0              pyh9f0ad1d_0    conda-forge
 notebook                  6.2.0            py37h89c1867_0    conda-forge
 numba                     0.52.0           py37hdc94413_0    conda-forge
 numpy                     1.19.2           py37h54aff64_0
 numpy-base                1.19.2           py37hfa32c7d_0
 numpydoc                  1.1.0                      py_1    conda-forge
 nvtx                      0.2.3            py37h5e8e339_0    conda-forge
 olefile                   0.46               pyh9f0ad1d_1    conda-forge
 openssl                   1.1.1j               h7f98852_0    conda-forge
 orc                       1.6.5                hd3605a7_0    conda-forge
 packaging                 20.9               pyh44b312d_0    conda-forge
 pandas                    1.2.3            py37hdc94413_0    conda-forge
 pandoc                    1.19.2                        0    conda-forge
 pandocfilters             1.4.2                      py_1    conda-forge
 parquet-cpp               1.5.1                         2    conda-forge
 parso                     0.7.1              pyh9f0ad1d_0    conda-forge
 partd                     1.1.0                      py_0    conda-forge
 pathspec                  0.8.1              pyhd3deb0d_0    conda-forge
 pexpect                   4.8.0              pyh9f0ad1d_2    conda-forge
 pickleshare               0.7.5                   py_1003    conda-forge
 pillow                    8.0.1            py37h63a5d19_0    conda-forge
 pip                       21.0.1             pyhd8ed1ab_0    conda-forge
 pluggy                    0.13.1           py37he5f6b98_3    conda-forge
 pre-commit                2.9.3            py37h89c1867_0    conda-forge
 pre_commit                2.9.3                hd8ed1ab_0    conda-forge
 prometheus_client         0.9.0              pyhd3deb0d_0    conda-forge
 prompt-toolkit            3.0.8              pyha770c72_0    conda-forge
 protobuf                  3.13.0.1         py37h745909e_1    conda-forge
 psutil                    5.7.3            py37hb5d75c8_0    conda-forge
 ptyprocess                0.6.0                   py_1001    conda-forge
 py                        1.9.0              pyh9f0ad1d_0    conda-forge
 py-cpuinfo                7.0.0              pyh9f0ad1d_0    conda-forge
 pyarrow                   1.0.1           py37hbeecfa9_16_cuda    conda-forge
 pycodestyle               2.6.0              pyh9f0ad1d_0    conda-forge
 pycparser                 2.20               pyh9f0ad1d_2    conda-forge
 pyflakes                  2.2.0              pyh9f0ad1d_0    conda-forge
 pygments                  2.7.3              pyhd8ed1ab_0    conda-forge
 pyopenssl                 20.0.0             pyhd8ed1ab_0    conda-forge
 pyorc                     0.4.0                    pypi_0    pypi
 pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
 pyrsistent                0.17.3           py37h4abf009_1    conda-forge
 pysocks                   1.7.1            py37he5f6b98_2    conda-forge
 pytest                    6.2.2            py37h89c1867_0    conda-forge
 pytest-benchmark          3.2.3              pyh9f0ad1d_0    conda-forge
 pytest-forked             1.2.0              pyh9f0ad1d_0    conda-forge
 pytest-xdist              2.2.1              pyhd8ed1ab_0    conda-forge
 python                    3.7.10          hffdb5ce_100_cpython    conda-forge
 python-dateutil           2.8.1                      py_0    conda-forge
 python_abi                3.7                     1_cp37m    conda-forge
 pytz                      2020.4             pyhd8ed1ab_0    conda-forge
 pyyaml                    5.3.1            py37hb5d75c8_1    conda-forge
 pyzmq                     20.0.0           py37h5a562af_1    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2020.11.01           h58526e2_0    conda-forge
 readline                  8.0                  he28a2e2_2    conda-forge
 recommonmark              0.7.1              pyhd8ed1ab_0    conda-forge
 regex                     2020.11.13       py37h4abf009_0    conda-forge
 requests                  2.25.0             pyhd3deb0d_0    conda-forge
 rhash                     1.3.6             h516909a_1001    conda-forge
 rmm                       0.19.0a210319   cuda_10.2_py37_gdce33aa_48    rapidsai-nightly
 scipy                     1.6.0            py37h91f5cce_0
 send2trash                1.5.0                      py_0    conda-forge
 setuptools                49.6.0           py37he5f6b98_2    conda-forge
 six                       1.15.0             pyh9f0ad1d_0    conda-forge
 snappy                    1.1.8                he1b5a44_3    conda-forge
 snowballstemmer           2.0.0                      py_0    conda-forge
 sortedcontainers          2.3.0              pyhd8ed1ab_0    conda-forge
 soupsieve                 2.1                pyhd3eb1b0_0
 spdlog                    1.7.0                hc9558a2_2    conda-forge
 sphinx                    3.5.2              pyhd8ed1ab_0    conda-forge
 sphinx-copybutton         0.3.1              pyhd8ed1ab_0    conda-forge
 sphinx-markdown-tables    0.0.15             pyhd3deb0d_0    conda-forge
 sphinx_rtd_theme          0.5.1              pyhd3deb0d_0    conda-forge
 sphinxcontrib-applehelp   1.0.2                      py_0    conda-forge
 sphinxcontrib-devhelp     1.0.2                      py_0    conda-forge
 sphinxcontrib-htmlhelp    1.0.3                      py_0    conda-forge
 sphinxcontrib-jsmath      1.0.1                      py_0    conda-forge
 sphinxcontrib-qthelp      1.0.3                      py_0    conda-forge
 sphinxcontrib-serializinghtml 1.1.4                      py_0    conda-forge
 sphinxcontrib-websupport  1.2.4              pyh9f0ad1d_0    conda-forge
 sqlite                    3.34.0               h74cdb3f_0    conda-forge
 streamz                   0.6.2              pyh44b312d_0    conda-forge
 tblib                     1.6.0                      py_0    conda-forge
 terminado                 0.9.1            py37h89c1867_1    conda-forge
 testpath                  0.4.4                      py_0    conda-forge
 tk                        8.6.10               hed695b0_1    conda-forge
 toml                      0.10.2             pyhd8ed1ab_0    conda-forge
 toolz                     0.11.1                     py_0    conda-forge
 tornado                   6.1              py37h4abf009_0    conda-forge
 traitlets                 5.0.5                      py_0    conda-forge
 typed-ast                 1.4.1            py37h4abf009_1    conda-forge
 typing_extensions         3.7.4.3                    py_0    conda-forge
 urllib3                   1.25.11                    py_0    conda-forge
 virtualenv                20.2.2           py37h89c1867_0    conda-forge
 wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
 webencodings              0.5.1                      py_1    conda-forge
 wheel                     0.36.1             pyhd3deb0d_0    conda-forge
 xz                        5.2.5                h516909a_1    conda-forge
 yaml                      0.2.5                h516909a_0    conda-forge
 zeromq                    4.3.3                h58526e2_3    conda-forge
 zict                      2.0.0                      py_0    conda-forge
 zipp                      3.4.0                      py_0    conda-forge
 zlib                      1.2.11            h516909a_1010    conda-forge
 zstd                      1.4.5                h6597ccf_2    conda-forge

Additional context
#7422 (comment)

@karthikeyann karthikeyann added bug Something isn't working Needs Triage Need team to review and classify labels Mar 19, 2021
@kkraus14 kkraus14 added Python Affects Python cuDF API. and removed Needs Triage Need team to review and classify labels Mar 19, 2021
@shwina
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shwina commented Mar 19, 2021

What's weird is if I do:

struct_series.is_mon<TAB>

I get a C++ exception:

struct_series.is_mon../../../../include/cudf/table/row_operators.cuh:294: cudf::weak_ordering cudf::element_relational_comparator<has_nulls>::operator()(signed int, signed int) [with Element = cudf::struct_view; void *<anonymous> = (void *)nullptr; __nv_bool has_nulls = false]: block: [0,0,0], thread: [0,0,0] Assertion `false && "Attempted to compare elements of uncomparable types."` failed.
../../../../include/cudf/table/row_operators.cuh:294: cudf::weak_ordering cudf::element_relational_comparator<has_nulls>::operator()(signed int, signed int) [with Element = cudf::struct_view; void *<anonymous> = (void *)nullptr; __nv_bool has_nulls = false]: block: [0,0,0], thread: [1,0,0] Assertion `false && "Attempted to compare elements of uncomparable types."` failed.

But if I actually run the method, I get a nice Python exception:

struct_series.is_monotonic_increasing
---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-5-ab40890a5f5e> in <module>
----> 1 struct_series.is_monotonic_decreasing

~/cudf/python/cudf/cudf/core/series.py in is_monotonic_decreasing(self)
   6241         out : bool
   6242         """
-> 6243         return self._column.is_monotonic_decreasing
   6244
   6245     @property

~/cudf/python/cudf/cudf/core/column/column.py in is_monotonic_decreasing(self)
    967             else:
    968                 self._is_monotonic_decreasing = self.as_frame()._is_sorted(
--> 969                     ascending=[False], null_position=None
    970                 )
    971         return self._is_monotonic_decreasing

~/cudf/python/cudf/cudf/core/frame.py in _is_sorted(self, ascending, null_position)
   3493         """
   3494         return libcudf.sort.is_sorted(
-> 3495             self, ascending=ascending, null_position=null_position
   3496         )
   3497

~/cudf/python/cudf/cudf/_lib/sort.pyx in cudf._lib.sort.is_sorted()
    102     cdef table_view source_table_view = source_table.data_view()
    103     with nogil:
--> 104         c_result = cpp_is_sorted(
    105             source_table_view,
    106             column_order,

MemoryError: std::bad_alloc: CUDA error at: ../include/rmm/mr/device/cuda_memory_resource.hpp:69: cudaErrorAssert device-side assert triggered

@shwina
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shwina commented Mar 19, 2021

MRE:

>>> struct_series = cudf.Series([ {"Int": -1}, {"Int": 1}, {"Int": None} ])
>>> hasattr(struct_series, "is_monotonic")

Output:

../../../../include/cudf/table/row_operators.cuh:294: cudf::weak_ordering cudf::element_relational_comparator<has_nulls>::operator()(signed int, signed int) [with Element = cudf::struct_view; void *<anonymous
> = (void *)nullptr; __nv_bool has_nulls = false]: block: [0,0,0], thread: [0,0,0] Assertion `false && "Attempted to compare elements of uncomparable types."` failed.
../../../../include/cudf/table/row_operators.cuh:294: cudf::weak_ordering cudf::element_relational_comparator<has_nulls>::operator()(signed int, signed int) [with Element = cudf::struct_view; void *<anonymous
> = (void *)nullptr; __nv_bool has_nulls = false]: block: [0,0,0], thread: [1,0,0] Assertion `false && "Attempted to compare elements of uncomparable types."` failed.
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-3-64c6bc5cafb5> in <module>
----> 1 hasattr(struct_series, "is_monotonic")

~/cudf/python/cudf/cudf/core/series.py in is_monotonic(self)
   6219         out : bool
   6220         """
-> 6221         return self._column.is_monotonic_increasing
   6222
   6223     @property

~/cudf/python/cudf/cudf/core/column/column.py in is_monotonic_increasing(self)
    956             else:
    957                 self._is_monotonic_increasing = self.as_frame()._is_sorted(
--> 958                     ascending=None, null_position=None
    959                 )
    960         return self._is_monotonic_increasing

~/cudf/python/cudf/cudf/core/frame.py in _is_sorted(self, ascending, null_position)
   3493         """
   3494         return libcudf.sort.is_sorted(
-> 3495             self, ascending=ascending, null_position=null_position
   3496         )
   3497

~/cudf/python/cudf/cudf/_lib/sort.pyx in cudf._lib.sort.is_sorted()
    102     cdef table_view source_table_view = source_table.data_view()
    103     with nogil:
--> 104         c_result = cpp_is_sorted(
    105             source_table_view,
    106             column_order,

RuntimeError: reduce failed to synchronize: cudaErrorAssert: device-side assert triggered

@shwina
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shwina commented Mar 19, 2021

In general, Python users shouldn't "see" C++ exceptions directly. Our Cython bindings are marked with except + which should intercept any C++ exceptions and convert them into Python errors.

In this case, it looks like the C++ uses release_assert which doesn't raise a true C++ exception (i.e., one that inherits from std::exception). I don't believe Cython is equipped to handle those. cc: @jrhemstad

Thus, we see the raw output of release_assert.

As for the behaviour of tab completion, I believe that tab completion evaluates any properties, but swallows exceptions they may raise:

In [4]: class Foo:
   ...:     @property
   ...:     def prop(self):
   ...:         print("hello")
   ...:         raise ZeroDivisionError()
   ...:

In [5]: x = Foo()

In [6]: x.prop<TAB>  # "hello" printed, but no exception raised

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This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

@kkraus14
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Resolved by #7583

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