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numpy, def, array, implicitly, convertible, vec, poulamisau, pytestapprox, implicitarray, attribute, error, type, bug, case, vals, return, test, types, issue, class, added, sign, pytest, arrays, assert, approx, mytype, shape, commented, fixed, code, pull, projects, problem, object, initself, selfvals, reprself, fselfclassnameselfvals, arrayself, dtypenone, copynone, nparrayselfvals, contributor, testingpythonapproxpy, tox, nicoddemus, navigation, requests, actions,

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poulami-sau edits contributor 10/site-packages/_pytest/python_api 3989384 poulami-sau mentioned approx function type venv/lib/python3 pull request test case provid… comment metadata assignees assigned labels topic approx sensibly chooses testing/python/approx type projects projects milestone attribute error types implicitly convertible numpy implementation approxnumpy shape check assumes attribute 'shape' shape attribute test case numpy arrays import numpy error message detailed description faulty __repr__ vec1 = mytype np = pytest fixed bug code case output relevant packages implicitly convertible custom types class testapprox types implic… def __init__ def __array__ def test_approx_eq test cases def test_numpy_array_implicit_conversion approx determines approx related class implicitarray vec2 = mytype vec1 = implicitarray addressed type 'mytype' object pytest_assertion plugin details failed current head

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      headline:Attribute error in pytest.approx for types implicitly convertible to numpy arrays
      articleBody:- [x] a detailed description of the bug or problem you are having When using pytest.approx with custom types which are implicitly convertible to numpy arrays, the following error is observed: ``` E AssertionError: assert <test_matrix_...x7f9169ac4ca0> == approx([1.0 ±....0 ± 4.0e-06]) E (pytest_assertion plugin: representation of details failed: ~/.venv/lib/python3.10/site-packages/_pytest/python_api.py:175: AttributeError: 'MyType' object has no attribute 'shape'. E Probably an object has a faulty __repr__.) ``` Note: The line number in the error message is a little off from the current head. That line is [here](https://github.com/pytest-dev/pytest/blob/14437788f07584fcf0578bdb952c720e0b9dd2ab/src/_pytest/python_api.py#L166). Looking at the code, `pytest.approx` sensibly chooses the numpy implementation `ApproxNumpy`, because the expected value is implicitly convertible to a numpy array. However, the shape check assumes that `other_side` **is** a numpy array (rather than assuming its implicitly convertible to a numpy array, like the expected value is) and so assumes that it has a `shape` attribute (which is not part of how approx [determines if something is a numpy array](https://github.com/pytest-dev/pytest/blob/14437788f07584fcf0578bdb952c720e0b9dd2ab/src/_pytest/python_api.py#L757)). It seems like either: 1. `ApproxNumpy._repr_compare()` needs to convert `other_side` to a numpy array (ie `_as_numpy_array(other_side)`) 2. `_as_numpy_array` needs to check if the object has a `shape` attribute, if the code is going to assume that's the case - [x] output of `pip list` from the virtual environment you are using: Relevant packages: numpy: 1.26.1 - [x] pytest and operating system versions pytest: 7.4.3 Ubuntu: 22.04 - [x] minimal example if possible ``` import numpy as np import pytest class MyType: """Type which is implicitly convertible to a numpy array.""" def __init__(self, vals): self.vals = vals def __repr__(self): return f"{self.__class__.__name__}({self.vals})" def __array__(self, dtype=None, copy=None): return np.array(self.vals) def test_approx_eq(): vec1 = MyType([1.0, 2.0, 3.0]) vec2 = MyType([1.0, 2.0, 4.0]) assert vec1 == pytest.approx(vec2) ```
      author:
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         name:ascended121
      datePublished:2024-03-12T18:15:35.000Z
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      url:https://github.com/12114/pytest/issues/12114
      context:https://schema.org
      headline:Attribute error in pytest.approx for types implicitly convertible to numpy arrays
      articleBody:- [x] a detailed description of the bug or problem you are having When using pytest.approx with custom types which are implicitly convertible to numpy arrays, the following error is observed: ``` E AssertionError: assert <test_matrix_...x7f9169ac4ca0> == approx([1.0 ±....0 ± 4.0e-06]) E (pytest_assertion plugin: representation of details failed: ~/.venv/lib/python3.10/site-packages/_pytest/python_api.py:175: AttributeError: 'MyType' object has no attribute 'shape'. E Probably an object has a faulty __repr__.) ``` Note: The line number in the error message is a little off from the current head. That line is [here](https://github.com/pytest-dev/pytest/blob/14437788f07584fcf0578bdb952c720e0b9dd2ab/src/_pytest/python_api.py#L166). Looking at the code, `pytest.approx` sensibly chooses the numpy implementation `ApproxNumpy`, because the expected value is implicitly convertible to a numpy array. However, the shape check assumes that `other_side` **is** a numpy array (rather than assuming its implicitly convertible to a numpy array, like the expected value is) and so assumes that it has a `shape` attribute (which is not part of how approx [determines if something is a numpy array](https://github.com/pytest-dev/pytest/blob/14437788f07584fcf0578bdb952c720e0b9dd2ab/src/_pytest/python_api.py#L757)). It seems like either: 1. `ApproxNumpy._repr_compare()` needs to convert `other_side` to a numpy array (ie `_as_numpy_array(other_side)`) 2. `_as_numpy_array` needs to check if the object has a `shape` attribute, if the code is going to assume that's the case - [x] output of `pip list` from the virtual environment you are using: Relevant packages: numpy: 1.26.1 - [x] pytest and operating system versions pytest: 7.4.3 Ubuntu: 22.04 - [x] minimal example if possible ``` import numpy as np import pytest class MyType: """Type which is implicitly convertible to a numpy array.""" def __init__(self, vals): self.vals = vals def __repr__(self): return f"{self.__class__.__name__}({self.vals})" def __array__(self, dtype=None, copy=None): return np.array(self.vals) def test_approx_eq(): vec1 = MyType([1.0, 2.0, 3.0]) vec2 = MyType([1.0, 2.0, 4.0]) assert vec1 == pytest.approx(vec2) ```
      author:
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      url:https://github.com/12114/pytest/issues/12114
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