RecursionError: maximum recursion depth exceeded

[pooryousefshahrooz]

Describe the bug
I am running this command:
from qiskit_algorithms.utils import algorithm_globals

and getting error:

RecursionError                            Traceback (most recent call last)
Cell In[8], line 1
----> 1 from qiskit_machine_learning.neural_networks import EstimatorQNN
      3 estimator_qnn = EstimatorQNN(
      4     circuit=qc1, observables=observable1, input_params=[params1[0]], weight_params=[params1[1]]
      5 )
      6 estimator_qnn

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_machine_learning/neural_networks/__init__.py:60
      1 # This code is part of a Qiskit project.
      2 #
      3 # (C) Copyright IBM 2019, 2023.
   (...)
     10 # copyright notice, and modified files need to carry a notice indicating
     11 # that they have been altered from the originals.
     13 """
     14 Quantum neural networks (:mod:`qiskit_machine_learning.neural_networks`)
     15 ========================================================================
   (...)
     57    LocalEffectiveDimension
     58 """
---> 60 from .effective_dimension import EffectiveDimension, LocalEffectiveDimension
     61 from .estimator_qnn import EstimatorQNN
     62 from .neural_network import NeuralNetwork

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_machine_learning/neural_networks/effective_dimension.py:23
     21 from qiskit_algorithms.utils import algorithm_globals
     22 from qiskit_machine_learning import QiskitMachineLearningError
---> 23 from .estimator_qnn import EstimatorQNN
     24 from .neural_network import NeuralNetwork
     26 logger = logging.getLogger(__name__)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_machine_learning/neural_networks/estimator_qnn.py:26
     24 from qiskit.quantum_info import SparsePauliOp
     25 from qiskit.quantum_info.operators.base_operator import BaseOperator
---> 26 from qiskit_algorithms.gradients import (
     27     BaseEstimatorGradient,
     28     EstimatorGradientResult,
     29     ParamShiftEstimatorGradient,
     30 )
     32 from qiskit_machine_learning.circuit.library import QNNCircuit
     33 from qiskit_machine_learning.exceptions import QiskitMachineLearningError

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_algorithms/__init__.py:254
    252 from .algorithm_job import AlgorithmJob
    253 from .algorithm_result import AlgorithmResult
--> 254 from .variational_algorithm import VariationalAlgorithm, VariationalResult
    255 from .amplitude_amplifiers import Grover, GroverResult, AmplificationProblem, AmplitudeAmplifier
    256 from .amplitude_estimators import (
    257     AmplitudeEstimator,
    258     AmplitudeEstimatorResult,
   (...)
    267     EstimationProblem,
    268 )

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_algorithms/variational_algorithm.py:36
     33 from qiskit.circuit import QuantumCircuit
     35 from .algorithm_result import AlgorithmResult
---> 36 from .optimizers import OptimizerResult
     39 class VariationalAlgorithm(ABC):
     40     """The Variational Algorithm Base Class."""

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_algorithms/optimizers/__init__.py:145
    143 from .spsa import SPSA
    144 from .tnc import TNC
--> 145 from .umda import UMDA
    147 __all__ = [
    148     "Optimizer",
    149     "OptimizerSupportLevel",
   (...)
    181     "UMDA",
    182 ]

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/qiskit_algorithms/optimizers/umda.py:21
     18 from typing import Any
     20 import numpy as np
---> 21 from scipy.stats import norm
     23 from qiskit_algorithms.utils import algorithm_globals
     24 from .optimizer import OptimizerResult, POINT

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/stats/__init__.py:610
      1 """
      2 .. _statsrefmanual:
      3 
   (...)
    605 
    606 """  # noqa: E501
    608 from ._warnings_errors import (ConstantInputWarning, NearConstantInputWarning,
    609                                DegenerateDataWarning, FitError)
--> 610 from ._stats_py import *
    611 from ._variation import variation
    612 from .distributions import *

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/stats/_stats_py.py:49
     46 # Import unused here but needs to stay until end of deprecation periode
     47 # See https://github.com/scipy/scipy/issues/15765#issuecomment-1875564522
     48 from scipy import linalg  # noqa: F401
---> 49 from . import distributions
     50 from . import _mstats_basic as mstats_basic
     52 from ._stats_mstats_common import _find_repeats, theilslopes, siegelslopes

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/stats/distributions.py:10
      1 #
      2 # Author:  Travis Oliphant  2002-2011 with contributions from
      3 #          SciPy Developers 2004-2011
   (...)
      6 #       instead of `git blame -Lxxx,+x`.
      7 #
      8 from ._distn_infrastructure import (rv_discrete, rv_continuous, rv_frozen)  # noqa: F401
---> 10 from . import _continuous_distns
     11 from . import _discrete_distns
     13 from ._continuous_distns import *  # noqa: F403

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/stats/_continuous_distns.py:12
     10 import numpy as np
     11 from numpy.polynomial import Polynomial
---> 12 from scipy.interpolate import BSpline
     13 from scipy._lib.doccer import (extend_notes_in_docstring,
     14                                replace_notes_in_docstring,
     15                                inherit_docstring_from)
     16 from scipy._lib._ccallback import LowLevelCallable

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/interpolate/__init__.py:167
      1 """
      2 ========================================
      3 Interpolation (:mod:`scipy.interpolate`)
   (...)
    165 (should not be used in new code).
    166 """
--> 167 from ._interpolate import *
    168 from ._fitpack_py import *
    170 # New interface to fitpack library:

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/interpolate/_interpolate.py:12
      9 from scipy._lib._util import copy_if_needed
     10 from scipy.special import comb
---> 12 from . import _fitpack_py
     13 from ._polyint import _Interpolator1D
     14 from . import _ppoly

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/interpolate/_fitpack_py.py:8
      5 import numpy as np
      7 # These are in the API for fitpack even if not used in fitpack.py itself.
----> 8 from ._fitpack_impl import bisplrep, bisplev, dblint  # noqa: F401
      9 from . import _fitpack_impl as _impl
     10 from ._bsplines import BSpline

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/scipy/interpolate/_fitpack_impl.py:103
     52 _iermess = {
     53     0: ["The spline has a residual sum of squares fp such that "
     54         "abs(fp-s)/s<=0.001", None],
   (...)
     68     'unknown': ["An error occurred", TypeError]
     69 }
     71 _iermess2 = {
     72     0: ["The spline has a residual sum of squares fp such that "
     73         "abs(fp-s)/s<=0.001", None],
   (...)
     99     'unknown': ["An error occurred", TypeError]
    100 }
    102 _parcur_cache = {'t': array([], float), 'wrk': array([], float),
--> 103                  'iwrk': array([], dfitpack_int), 'u': array([], float),
    104                  'ub': 0, 'ue': 1}
    107 def splprep(x, w=None, u=None, ub=None, ue=None, k=3, task=0, s=None, t=None,
    108             full_output=0, nest=None, per=0, quiet=1):
    109     # see the docstring of `_fitpack_py/splprep`
    110     if task <= 0:

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:46, in __repr__(dtype)
     45 def __repr__(dtype):
---> 46     arg_str = _construction_repr(dtype, include_align=False)
     47     if dtype.isalignedstruct:
     48         arg_str = arg_str + ", align=True"

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:100, in _construction_repr(dtype, include_align, short)
     98     return _subarray_str(dtype)
     99 else:
--> 100     return _scalar_str(dtype, short=short)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:143, in _scalar_str(dtype, short)
    140 elif dtype.type == np.timedelta64:
    141     return "'%sm8%s'" % (byteorder, _datetime_metadata_str(dtype))
--> 143 elif np.issubdtype(dtype, np.number):
    144     # Short repr with endianness, like '<f8'
    145     if short or dtype.byteorder not in ('=', '|'):
    146         return "'%s%c%d'" % (byteorder, dtype.kind, dtype.itemsize)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/numerictypes.py:417, in issubdtype(arg1, arg2)
    359 r"""
    360 Returns True if first argument is a typecode lower/equal in type hierarchy.
    361 
   (...)
    414 
    415 """
    416 if not issubclass_(arg1, generic):
--> 417     arg1 = dtype(arg1).type
    418 if not issubclass_(arg2, generic):
    419     arg2 = dtype(arg2).type

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:46, in __repr__(dtype)
     45 def __repr__(dtype):
---> 46     arg_str = _construction_repr(dtype, include_align=False)
     47     if dtype.isalignedstruct:
     48         arg_str = arg_str + ", align=True"

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:100, in _construction_repr(dtype, include_align, short)
     98     return _subarray_str(dtype)
     99 else:
--> 100     return _scalar_str(dtype, short=short)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:143, in _scalar_str(dtype, short)
    140 elif dtype.type == np.timedelta64:
    141     return "'%sm8%s'" % (byteorder, _datetime_metadata_str(dtype))
--> 143 elif np.issubdtype(dtype, np.number):
    144     # Short repr with endianness, like '<f8'
    145     if short or dtype.byteorder not in ('=', '|'):
    146         return "'%s%c%d'" % (byteorder, dtype.kind, dtype.itemsize)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/numerictypes.py:417, in issubdtype(arg1, arg2)
    359 r"""
    360 Returns True if first argument is a typecode lower/equal in type hierarchy.
    361 
   (...)
    414 
    415 """
    416 if not issubclass_(arg1, generic):
--> 417     arg1 = dtype(arg1).type
    418 if not issubclass_(arg2, generic):
    419     arg2 = dtype(arg2).type

    [... skipping similar frames: __repr__ at line 46 (717 times), _construction_repr at line 100 (717 times), _scalar_str at line 143 (716 times), issubdtype at line 417 (716 times)]

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:143, in _scalar_str(dtype, short)
    140 elif dtype.type == np.timedelta64:
    141     return "'%sm8%s'" % (byteorder, _datetime_metadata_str(dtype))
--> 143 elif np.issubdtype(dtype, np.number):
    144     # Short repr with endianness, like '<f8'
    145     if short or dtype.byteorder not in ('=', '|'):
    146         return "'%s%c%d'" % (byteorder, dtype.kind, dtype.itemsize)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/numerictypes.py:417, in issubdtype(arg1, arg2)
    359 r"""
    360 Returns True if first argument is a typecode lower/equal in type hierarchy.
    361 
   (...)
    414 
    415 """
    416 if not issubclass_(arg1, generic):
--> 417     arg1 = dtype(arg1).type
    418 if not issubclass_(arg2, generic):
    419     arg2 = dtype(arg2).type

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:46, in __repr__(dtype)
     45 def __repr__(dtype):
---> 46     arg_str = _construction_repr(dtype, include_align=False)
     47     if dtype.isalignedstruct:
     48         arg_str = arg_str + ", align=True"

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:100, in _construction_repr(dtype, include_align, short)
     98     return _subarray_str(dtype)
     99 else:
--> 100     return _scalar_str(dtype, short=short)

File ~/miniconda3/envs/conda_env/lib/python3.12/site-packages/numpy/core/_dtype.py:104, in _scalar_str(dtype, short)
    103 def _scalar_str(dtype, short):
--> 104     byteorder = _byte_order_str(dtype)
    106     if dtype.type == np.bool_:
    107         if short:

RecursionError: maximum recursion depth exceeded

Suggested solutions
I know another issue has been opened on this but I could not find any response for that. And that is why I opened another one. thanks

Additional Information

• qiskit-ibm-runtime version: qiskit-machine-learning: 0.7.2 and qiskit: 1.1.1
• Python version:3.12
• Operating system: LINUX

[jyu00]

@pooryousefshahrooz Please open this in qiskit-algorithms since this appears to be an issue in that repo.

[pooryousefshahrooz]

thanks @jyu00 . I did.