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ramonhagenaars / nptyping

💡 Type hints for Numpy and Pandas
MIT License
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Fix numpy deprecation #114

Open charlesbmi opened 8 months ago

charlesbmi commented 8 months ago

Attempt to fix:

Which error out because of deprecation of int0, object0, etc. types

sonarcloud[bot] commented 8 months ago

Quality Gate Passed Quality Gate passed

The SonarCloud Quality Gate passed, but some issues were introduced.

13 New issues
0 Security Hotspots
No data about Coverage
No data about Duplication

See analysis details on SonarCloud

l29ah commented 3 months ago 
  File "/usr/lib/python3.11/site-packages/nptyping/typing_.py", line 87, in <module>
    Float = np.float_
            ^^^^^^^^^
  File "/usr/lib/python3.11/site-packages/numpy/__init__.py", line 397, in __getattr__
    raise AttributeError(
AttributeError: `np.float_` was removed in the NumPy 2.0 release. Use `np.float64` instead.. Did you mean: 'float16'?
kloczek commented 3 months ago

Just tested this PR and test suite fail

+ PYTHONPATH=/home/tkloczko/rpmbuild/BUILDROOT/python-nptyping-2.5.0-2.fc37.x86_64/usr/lib64/python3.10/site-packages:/home/tkloczko/rpmbuild/BUILDROOT/python-nptyping-2.5.0-2.fc37.x86_64/usr/lib/python3.10/site-packages
+ /usr/bin/pytest -ra -m 'not network' --ignore tests/test_package_info.py
==================================================================================== test session starts ====================================================================================
platform linux -- Python 3.10.14, pytest-8.2.1, pluggy-1.5.0
rootdir: /home/tkloczko/rpmbuild/BUILD/nptyping-2.5.0
plugins: mock-3.14.0, typeguard-4.2.1
collected 106 items / 1 error

========================================================================================== ERRORS ===========================================================================================
__________________________________________________________________________ ERROR collecting tests/test_beartype.py __________________________________________________________________________
tests/test_beartype.py:14: in <module>
    def fun(_: NDArray[Shape["2, 2"], Float]) -> None:
/usr/lib/python3.10/site-packages/beartype/_decor/decorcache.py:77: in beartype
    return beartype_object(obj, conf)
/usr/lib/python3.10/site-packages/beartype/_decor/decorcore.py:87: in beartype_object
    _beartype_object_fatal(obj, conf=conf, **kwargs)
/usr/lib/python3.10/site-packages/beartype/_decor/decorcore.py:136: in _beartype_object_fatal
    beartype_nontype(obj, **kwargs)  # type: ignore[return-value]
/usr/lib/python3.10/site-packages/beartype/_decor/_decornontype.py:182: in beartype_nontype
    return beartype_func(obj, **kwargs)  # type: ignore[return-value]
/usr/lib/python3.10/site-packages/beartype/_decor/_decornontype.py:247: in beartype_func
    func_wrapper_code = generate_code(bear_call)
/usr/lib/python3.10/site-packages/beartype/_decor/wrap/wrapmain.py:118: in generate_code
    code_check_params = _code_check_args(bear_call)
/usr/lib/python3.10/site-packages/beartype/_decor/wrap/_wrapargs.py:334: in code_check_args
    reraise_exception_placeholder(
/usr/lib/python3.10/site-packages/beartype/_util/error/utilerrraise.py:138: in reraise_exception_placeholder
    raise exception.with_traceback(exception.__traceback__)
/usr/lib/python3.10/site-packages/beartype/_decor/wrap/_wrapargs.py:189: in code_check_args
    hint = sanify_hint_root_func(
/usr/lib/python3.10/site-packages/beartype/_check/convert/convsanify.py:178: in sanify_hint_root_func
    hint = reduce_hint(
/usr/lib/python3.10/site-packages/beartype/_check/convert/convreduce.py:201: in reduce_hint
    hint = _reduce_hint_uncached(
/usr/lib/python3.10/site-packages/beartype/_check/convert/convreduce.py:280: in _reduce_hint_uncached
    hint_sign = get_hint_pep_sign_or_none(hint)
/usr/lib/python3.10/site-packages/beartype/_util/cache/utilcachecall.py:250: in _callable_cached
    raise exception
/usr/lib/python3.10/site-packages/beartype/_util/cache/utilcachecall.py:242: in _callable_cached
    return_value = args_flat_to_return_value[args_flat] = func(
/usr/lib/python3.10/site-packages/beartype/_util/hint/pep/utilpepget.py:721: in get_hint_pep_sign_or_none
    die_if_hint_pep604_inconsistent(hint)
/usr/lib/python3.10/site-packages/beartype/_util/hint/pep/proposal/utilpep604.py:73: in die_if_hint_pep604_inconsistent
    raise BeartypeDecorHintPep604Exception(
E   beartype.roar.BeartypeDecorHintPep604Exception: Type hint NDArray[Shape['2, 2'], Float] inconsistent with respect to repr() strings. Since @beartype requires consistency between type hints and repr() strings, this hint is unsupported by @beartype. Consider reporting this issue to the third-party developer implementing this hint: e.g.,
E       >>> repr(NDArray[Shape['2, 2'], Float])
E       NDArray[Shape['2, 2'], Float]  # <-- this is fine
E       >>> repr(NDArray[Shape['2, 2'], Float] | int)
E       nptyping.ndarray.NDArray | int  # <-- *THIS IS REALLY SUPER BAD*
E
E       # Ideally, that output should instead resemble:
E       >>> repr(NDArray[Shape['2, 2'], Float] | int)
E       NDArray[Shape['2, 2'], Float] | int  # <-- what @beartype wants!
===================================================================================== warnings summary ======================================================================================
../../../../../usr/lib64/python3.10/unittest/loader.py:66
  /usr/lib64/python3.10/unittest/loader.py:66: PytestCollectionWarning: cannot collect test class 'TestLoader' because it has a __init__ constructor (from: tests/test_wheel.py)
    class TestLoader(object):

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================================================================== short test summary info ==================================================================================
ERROR tests/test_beartype.py - beartype.roar.BeartypeDecorHintPep604Exception: Type hint NDArray[Shape['2, 2'], Float] inconsistent with respect to repr() strings. Since @beartype requires consistency between type h...
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
================================================================================ 1 warning, 1 error in 0.76s ================================================================================
kloczek commented 3 months ago

After add tests/test_beartype.py to --ignore list many units fails because missing pandas-stubs. Q: why test suite is not able to use regular pandas? 🤔

Here is pytest output: ```console + PYTHONPATH=/home/tkloczko/rpmbuild/BUILDROOT/python-nptyping-2.5.0-2.fc37.x86_64/usr/lib64/python3.10/site-packages:/home/tkloczko/rpmbuild/BUILDROOT/python-nptyping-2.5.0-2.fc37.x86_64/usr/lib/python3.10/site-packages + /usr/bin/pytest -ra -m 'not network' --ignore tests/test_beartype.py --ignore tests/test_package_info.py ==================================================================================== test session starts ==================================================================================== platform linux -- Python 3.10.14, pytest-8.2.1, pluggy-1.5.0 rootdir: /home/tkloczko/rpmbuild/BUILD/nptyping-2.5.0 plugins: mock-3.14.0, typeguard-4.2.1 collected 106 items tests/pandas_/test_dataframe.py ......... [ 8%] tests/pandas_/test_fork_sync.py . [ 9%] tests/pandas_/test_mypy_dataframe.py FFF [ 12%] tests/test_assert_isinstance.py ... [ 15%] tests/test_base_meta_classes.py ......... [ 23%] tests/test_help_texts.py ... [ 26%] tests/test_lib_export.py . [ 27%] tests/test_mypy.py FFFFFFFFFF. [ 37%] tests/test_ndarray.py .......................... [ 62%] tests/test_performance.py . [ 63%] tests/test_pyright.py FF [ 65%] tests/test_recarray.py ... [ 67%] tests/test_shape.py ...... [ 73%] tests/test_shape_expression.py ... [ 76%] tests/test_structure.py ........ [ 83%] tests/test_structure_expression.py .......... [ 93%] tests/test_typeguard.py ..F. [ 97%] tests/test_wheel.py FFF [100%] ========================================================================================= FAILURES ========================================================================================== _______________________________________________________________________ MyPyDataFrameTest.test_mypy_accepts_dataframe _______________________________________________________________________ self = @skipUnless(7 < sys.version_info.minor, "MyPy does not work with DataFrame on 3.7") def test_mypy_accepts_dataframe(self): exit_code, stdout, stderr = check_mypy_on_code( """ from nptyping import DataFrame, Structure as S import pandas as pd df: DataFrame[S["x: Int, y: Int"]] = pd.DataFrame({"x": [1], "y": [1]}) """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E /tmp/tmp001bxzzy/test_file.py:2: error: Library stubs not installed for "pandas" [import-untyped] E /tmp/tmp001bxzzy/test_file.py:2: note: Hint: "python3 -m pip install pandas-stubs" E /tmp/tmp001bxzzy/test_file.py:2: note: (or run "mypy --install-types" to install all missing stub packages) E /tmp/tmp001bxzzy/test_file.py:2: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 2 errors in 2 files (checked 1 source file) tests/pandas_/test_mypy_dataframe.py:19: AssertionError ______________________________________________________ MyPyDataFrameTest.test_mypy_disapproves_dataframe_with_wrong_function_arguments ______________________________________________________ self = @skipUnless(7 < sys.version_info.minor, "MyPy does not work with DataFrame on 3.7") def test_mypy_disapproves_dataframe_with_wrong_function_arguments(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any import numpy as np from nptyping import DataFrame, Structure as S def func(_: DataFrame[S["x: Float, y: Float"]]) -> None: ... func("Not an array...") """ ) > self.assertIn('Argument 1 to "func" has incompatible type "str"', stdout) E AssertionError: 'Argument 1 to "func" has incompatible type "str"' not found in 'nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped]\nnptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs"\nnptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages)\nnptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports\nFound 1 error in 1 file (checked 1 source file)\n' tests/pandas_/test_mypy_dataframe.py:38: AssertionError __________________________________________________________________ MyPyDataFrameTest.test_mypy_knows_of_dataframe_methods ___________________________________________________________________ self = @skipUnless(7 < sys.version_info.minor, "MyPy does not work with DataFrame on 3.7") def test_mypy_knows_of_dataframe_methods(self): # If MyPy knows of some arbitrary DataFrame methods, we can assume that # code completion works. exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import DataFrame df: DataFrame[Any] df.shape df.dtypes df.values df.boxplot df.filter """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/pandas_/test_mypy_dataframe.py:61: AssertionError ________________________________________________________________________ MyPyTest.test_mypy_accepts_ndarray_with_any ________________________________________________________________________ self = def test_mypy_accepts_ndarray_with_any(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import NDArray NDArray[Any, Any] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:17: AssertionError _______________________________________________________________________ MyPyTest.test_mypy_accepts_ndarray_with_shape _______________________________________________________________________ self = def test_mypy_accepts_ndarray_with_shape(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import NDArray, Shape NDArray[Shape["3, 3"], Any] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:30: AssertionError _____________________________________________________________________ MyPyTest.test_mypy_accepts_ndarray_with_structure _____________________________________________________________________ self = def test_mypy_accepts_ndarray_with_structure(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import NDArray, RecArray, Structure NDArray[Any, Structure["x: Float, y: Int"]] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:43: AssertionError _________________________________________________________________ MyPyTest.test_mypy_accepts_ndarrays_as_function_arguments _________________________________________________________________ self = def test_mypy_accepts_ndarrays_as_function_arguments(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any import numpy as np from nptyping import NDArray, Shape def func(_: NDArray[Shape["2, 2"], Any]) -> None: ... func(np.array([1, 2])) # (Wrong shape though) """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:81: AssertionError ___________________________________________________________________ MyPyTest.test_mypy_accepts_ndarrays_as_variable_hints ___________________________________________________________________ self = def test_mypy_accepts_ndarrays_as_variable_hints(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any import numpy as np from nptyping import NDArray arr: NDArray[Any, Any] = np.array([1, 2, 3]) """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:95: AssertionError _________________________________________________________________________ MyPyTest.test_mypy_accepts_nptyping_types _________________________________________________________________________ self = def test_mypy_accepts_nptyping_types(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any import numpy as np import numpy.typing as npt from nptyping import ( NDArray, Number, Bool, Object, Datetime64, Integer, SignedInteger, Int8, Int16, Int32, Int64, Byte, Short, IntC, IntP, Int, LongLong, Timedelta64, UnsignedInteger, UInt8, UInt16, UInt32, UInt64, UByte, UShort, UIntC, UIntP, UInt, ULongLong, Inexact, Floating, Float16, Float32, Float64, Half, Single, Double, Float, LongDouble, LongFloat, ComplexFloating, Complex64, Complex128, CSingle, SingleComplex, CDouble, Complex, CFloat, CLongDouble, CLongFloat, LongComplex, Flexible, Void, Character, Bytes, String, Unicode, ) NDArray[Any, Number] NDArray[Any, Bool] NDArray[Any, Object] NDArray[Any, Datetime64] NDArray[Any, Integer] NDArray[Any, SignedInteger] NDArray[Any, Int8] NDArray[Any, Int16] NDArray[Any, Int32] NDArray[Any, Int64] NDArray[Any, Byte] NDArray[Any, Short] NDArray[Any, IntC] NDArray[Any, IntP] NDArray[Any, Int] NDArray[Any, LongLong] NDArray[Any, Timedelta64] NDArray[Any, UnsignedInteger] NDArray[Any, UInt8] NDArray[Any, UInt16] NDArray[Any, UInt32] NDArray[Any, UInt64] NDArray[Any, UByte] NDArray[Any, UShort] NDArray[Any, UIntC] NDArray[Any, UIntP] NDArray[Any, UInt] NDArray[Any, ULongLong] NDArray[Any, Inexact] NDArray[Any, Floating] NDArray[Any, Float16] NDArray[Any, Float32] NDArray[Any, Float64] NDArray[Any, Half] NDArray[Any, Single] NDArray[Any, Double] NDArray[Any, Float] NDArray[Any, LongDouble] NDArray[Any, LongFloat] NDArray[Any, ComplexFloating] NDArray[Any, Complex64] NDArray[Any, Complex128] NDArray[Any, CSingle] NDArray[Any, SingleComplex] NDArray[Any, CDouble] NDArray[Any, Complex] NDArray[Any, CFloat] NDArray[Any, CLongDouble] NDArray[Any, CLongFloat] NDArray[Any, LongComplex] NDArray[Any, Flexible] NDArray[Any, Void] NDArray[Any, Character] NDArray[Any, Bytes] NDArray[Any, String] NDArray[Any, Unicode] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:289: AssertionError __________________________________________________________________________ MyPyTest.test_mypy_accepts_numpy_types ___________________________________________________________________________ self = def test_mypy_accepts_numpy_types(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import NDArray import numpy as np NDArray[Any, np.dtype[np.int_]] NDArray[Any, np.dtype[np.float_]] NDArray[Any, np.dtype[np.uint8]] NDArray[Any, np.dtype[np.bool_]] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:125: AssertionError ____________________________________________________________________ MyPyTest.test_mypy_accepts_recarray_with_structure _____________________________________________________________________ self = def test_mypy_accepts_recarray_with_structure(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import RecArray, Structure RecArray[Any, Structure["x: Float, y: Int"]] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:108: AssertionError ___________________________________________________________ MyPyTest.test_mypy_disapproves_ndarray_with_wrong_function_arguments ____________________________________________________________ self = def test_mypy_disapproves_ndarray_with_wrong_function_arguments(self): exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any import numpy as np from nptyping import NDArray, Shape def func(_: NDArray[Shape["2, 2"], Any]) -> None: ... func("Not an array...") """ ) self.assertIn('Argument 1 to "func" has incompatible type "str"', stdout) self.assertIn('expected "ndarray[Any, Any]"', stdout) > self.assertIn("Found 1 error in 1 file", stdout) E AssertionError: 'Found 1 error in 1 file' not found in 'nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped]\nnptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs"\nnptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages)\nnptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports\n/tmp/tmp6slfx5r8/test_file.py:10: error: Argument 1 to "func" has incompatible type "str"; expected "ndarray[Any, Any]" [arg-type]\nFound 2 errors in 2 files (checked 1 source file)\n' tests/test_mypy.py:63: AssertionError ________________________________________________________________________ MyPyTest.test_mypy_knows_of_ndarray_methods ________________________________________________________________________ self = def test_mypy_knows_of_ndarray_methods(self): # If MyPy knows of some arbitrary ndarray methods, we can assume that # code completion works. exit_code, stdout, stderr = check_mypy_on_code( """ from typing import Any from nptyping import NDArray arr: NDArray[Any, Any] arr.shape arr.size arr.sort arr.squeeze arr.transpose """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] E nptyping/pandas_/dataframe.pyi:25: note: Hint: "python3 -m pip install pandas-stubs" E nptyping/pandas_/dataframe.pyi:25: note: (or run "mypy --install-types" to install all missing stub packages) E nptyping/pandas_/dataframe.pyi:25: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports E Found 1 error in 1 file (checked 1 source file) tests/test_mypy.py:162: AssertionError _____________________________________________________________________ PyrightTest.test_pyright_accepts_array_with_shape _____________________________________________________________________ self = def test_pyright_accepts_array_with_shape(self): exit_code, stdout, sterr = _check_pyright_on_code( """ from typing import Any from nptyping import NDArray, Shape NDArray[Shape["*, ..."], Any] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : tests/test_pyright.py:36: AssertionError ___________________________________________________________________ PyrightTest.test_pyright_accepts_array_with_structure ___________________________________________________________________ self = def test_pyright_accepts_array_with_structure(self): exit_code, stdout, sterr = _check_pyright_on_code( """ from typing import Any from nptyping import NDArray, Structure NDArray[Any, Structure["x: Int, y: Float"]] """ ) > self.assertEqual(0, exit_code, stdout) E AssertionError: 0 != 1 : tests/test_pyright.py:48: AssertionError ________________________________________________________________________________ TypeguardTest.test_success _________________________________________________________________________________ self = def test_success(self): > fun(np.random.randn(2, 2)) tests/test_typeguard.py:24: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ tests/test_typeguard.py:14: in fun def fun(_: NDArray[Shape["2, 2"], Float]) -> None: nptyping/base_meta_classes.py:145: in __getitem__ args = cls._get_item(item) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ cls = Shape['*, ...'], item = (2, 2) def _get_item(cls, item: Any) -> Tuple[Any, ...]: if not isinstance(item, str): > raise InvalidArgumentsError( f"Unexpected argument of type {type(item)}, expecting a string." ) E nptyping.error.InvalidArgumentsError: Unexpected argument of type , expecting a string. nptyping/base_meta_classes.py:213: InvalidArgumentsError __________________________________________________________________________ WheelTest.test_wheel_is_built_correctly __________________________________________________________________________ self = def test_wheel_is_built_correctly(self): with working_dir(_ROOT): > subprocess.check_output(f"{sys.executable} -m invoke wheel", shell=True) tests/test_wheel.py:93: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.10/subprocess.py:421: in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ input = None, capture_output = False, timeout = None, check = True, popenargs = ('/usr/bin/python3 -m invoke wheel',), kwargs = {'shell': True, 'stdout': -1} process = , stdout = b'Installing dependencies into: .venv3.10.14\n', stderr = None, retcode = 127 def run(*popenargs, input=None, capture_output=False, timeout=None, check=False, **kwargs): """Run command with arguments and return a CompletedProcess instance. The returned instance will have attributes args, returncode, stdout and stderr. By default, stdout and stderr are not captured, and those attributes will be None. Pass stdout=PIPE and/or stderr=PIPE in order to capture them, or pass capture_output=True to capture both. If check is True and the exit code was non-zero, it raises a CalledProcessError. The CalledProcessError object will have the return code in the returncode attribute, and output & stderr attributes if those streams were captured. If timeout is given, and the process takes too long, a TimeoutExpired exception will be raised. There is an optional argument "input", allowing you to pass bytes or a string to the subprocess's stdin. If you use this argument you may not also use the Popen constructor's "stdin" argument, as it will be used internally. By default, all communication is in bytes, and therefore any "input" should be bytes, and the stdout and stderr will be bytes. If in text mode, any "input" should be a string, and stdout and stderr will be strings decoded according to locale encoding, or by "encoding" if set. Text mode is triggered by setting any of text, encoding, errors or universal_newlines. The other arguments are the same as for the Popen constructor. """ if input is not None: if kwargs.get('stdin') is not None: raise ValueError('stdin and input arguments may not both be used.') kwargs['stdin'] = PIPE if capture_output: if kwargs.get('stdout') is not None or kwargs.get('stderr') is not None: raise ValueError('stdout and stderr arguments may not be used ' 'with capture_output.') kwargs['stdout'] = PIPE kwargs['stderr'] = PIPE with Popen(*popenargs, **kwargs) as process: try: stdout, stderr = process.communicate(input, timeout=timeout) except TimeoutExpired as exc: process.kill() if _mswindows: # Windows accumulates the output in a single blocking # read() call run on child threads, with the timeout # being done in a join() on those threads. communicate() # _after_ kill() is required to collect that and add it # to the exception. exc.stdout, exc.stderr = process.communicate() else: # POSIX _communicate already populated the output so # far into the TimeoutExpired exception. process.wait() raise except: # Including KeyboardInterrupt, communicate handled that. process.kill() # We don't call process.wait() as .__exit__ does that for us. raise retcode = process.poll() if check and retcode: > raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) E subprocess.CalledProcessError: Command '/usr/bin/python3 -m invoke wheel' returned non-zero exit status 127. /usr/lib64/python3.10/subprocess.py:526: CalledProcessError ----------------------------------------------------------------------------------- Captured stderr call ------------------------------------------------------------------------------------ /bin/bash: line 1: .venv3.10.14/bin/python: No such file or directory ___________________________________________________________________________ WheelTest.test_wheel_can_be_installed ___________________________________________________________________________ self = def test_wheel_can_be_installed(self): with working_dir(Path(self.temp_dir.name)): venv.create(_VENV_NAME, with_pip=False) # For some reason, with_pip=True fails, so we do it separately. > subprocess.check_output( f"{self.py} -m ensurepip --upgrade --default-pip", shell=True ) tests/test_wheel.py:113: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.10/subprocess.py:421: in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ input = None, capture_output = False, timeout = None, check = True, popenargs = ('/tmp/tmphbbzef22/test_venv/bin/python -m ensurepip --upgrade --default-pip',) kwargs = {'shell': True, 'stdout': -1}, process = , stdout = b'', stderr = None, retcode = 1 def run(*popenargs, input=None, capture_output=False, timeout=None, check=False, **kwargs): """Run command with arguments and return a CompletedProcess instance. The returned instance will have attributes args, returncode, stdout and stderr. By default, stdout and stderr are not captured, and those attributes will be None. Pass stdout=PIPE and/or stderr=PIPE in order to capture them, or pass capture_output=True to capture both. If check is True and the exit code was non-zero, it raises a CalledProcessError. The CalledProcessError object will have the return code in the returncode attribute, and output & stderr attributes if those streams were captured. If timeout is given, and the process takes too long, a TimeoutExpired exception will be raised. There is an optional argument "input", allowing you to pass bytes or a string to the subprocess's stdin. If you use this argument you may not also use the Popen constructor's "stdin" argument, as it will be used internally. By default, all communication is in bytes, and therefore any "input" should be bytes, and the stdout and stderr will be bytes. If in text mode, any "input" should be a string, and stdout and stderr will be strings decoded according to locale encoding, or by "encoding" if set. Text mode is triggered by setting any of text, encoding, errors or universal_newlines. The other arguments are the same as for the Popen constructor. """ if input is not None: if kwargs.get('stdin') is not None: raise ValueError('stdin and input arguments may not both be used.') kwargs['stdin'] = PIPE if capture_output: if kwargs.get('stdout') is not None or kwargs.get('stderr') is not None: raise ValueError('stdout and stderr arguments may not be used ' 'with capture_output.') kwargs['stdout'] = PIPE kwargs['stderr'] = PIPE with Popen(*popenargs, **kwargs) as process: try: stdout, stderr = process.communicate(input, timeout=timeout) except TimeoutExpired as exc: process.kill() if _mswindows: # Windows accumulates the output in a single blocking # read() call run on child threads, with the timeout # being done in a join() on those threads. communicate() # _after_ kill() is required to collect that and add it # to the exception. exc.stdout, exc.stderr = process.communicate() else: # POSIX _communicate already populated the output so # far into the TimeoutExpired exception. process.wait() raise except: # Including KeyboardInterrupt, communicate handled that. process.kill() # We don't call process.wait() as .__exit__ does that for us. raise retcode = process.poll() if check and retcode: > raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) E subprocess.CalledProcessError: Command '/tmp/tmphbbzef22/test_venv/bin/python -m ensurepip --upgrade --default-pip' returned non-zero exit status 1. /usr/lib64/python3.10/subprocess.py:526: CalledProcessError ----------------------------------------------------------------------------------- Captured stderr call ------------------------------------------------------------------------------------ Traceback (most recent call last): File "/usr/lib64/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/lib64/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/usr/lib64/python3.10/ensurepip/__main__.py", line 5, in sys.exit(ensurepip._main()) File "/usr/lib64/python3.10/ensurepip/__init__.py", line 287, in _main return _bootstrap( File "/usr/lib64/python3.10/ensurepip/__init__.py", line 179, in _bootstrap whl = resources.read_binary(_bundled, wheel_name) File "/usr/lib64/python3.10/importlib/resources.py", line 88, in read_binary with open_binary(package, resource) as fp: File "/usr/lib64/python3.10/importlib/resources.py", line 46, in open_binary return reader.open_resource(resource) File "/usr/lib64/python3.10/importlib/abc.py", line 433, in open_resource return self.files().joinpath(resource).open('rb') File "/usr/lib64/python3.10/pathlib.py", line 1119, in open return self._accessor.open(self, mode, buffering, encoding, errors, FileNotFoundError: [Errno 2] No such file or directory: '/usr/lib64/python3.10/ensurepip/_bundled/setuptools-65.5.0-py3-none-any.whl' ____________________________________________________________________________ WheelTest.test_basic_nptyping_code _____________________________________________________________________________ self = def test_basic_nptyping_code(self): code = ( "from nptyping import NDArray, Shape, Int; " "import numpy as np; " "print(isinstance(np.array([[1, 2], [3, 4]]), NDArray[Shape['2, 2'], Int]))" ) > output = subprocess.check_output(f'{self.py} -c "{code}"', shell=True) tests/test_wheel.py:131: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib64/python3.10/subprocess.py:421: in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ input = None, capture_output = False, timeout = None, check = True popenargs = ('/tmp/tmphbbzef22/test_venv/bin/python -c "from nptyping import NDArray, Shape, Int; import numpy as np; print(isinstance(np.array([[1, 2], [3, 4]]), NDArray[Shape[\'2, 2\'], Int]))"',) kwargs = {'shell': True, 'stdout': -1}, process = , stdout = b'', stderr = None, retcode = 1 def run(*popenargs, input=None, capture_output=False, timeout=None, check=False, **kwargs): """Run command with arguments and return a CompletedProcess instance. The returned instance will have attributes args, returncode, stdout and stderr. By default, stdout and stderr are not captured, and those attributes will be None. Pass stdout=PIPE and/or stderr=PIPE in order to capture them, or pass capture_output=True to capture both. If check is True and the exit code was non-zero, it raises a CalledProcessError. The CalledProcessError object will have the return code in the returncode attribute, and output & stderr attributes if those streams were captured. If timeout is given, and the process takes too long, a TimeoutExpired exception will be raised. There is an optional argument "input", allowing you to pass bytes or a string to the subprocess's stdin. If you use this argument you may not also use the Popen constructor's "stdin" argument, as it will be used internally. By default, all communication is in bytes, and therefore any "input" should be bytes, and the stdout and stderr will be bytes. If in text mode, any "input" should be a string, and stdout and stderr will be strings decoded according to locale encoding, or by "encoding" if set. Text mode is triggered by setting any of text, encoding, errors or universal_newlines. The other arguments are the same as for the Popen constructor. """ if input is not None: if kwargs.get('stdin') is not None: raise ValueError('stdin and input arguments may not both be used.') kwargs['stdin'] = PIPE if capture_output: if kwargs.get('stdout') is not None or kwargs.get('stderr') is not None: raise ValueError('stdout and stderr arguments may not be used ' 'with capture_output.') kwargs['stdout'] = PIPE kwargs['stderr'] = PIPE with Popen(*popenargs, **kwargs) as process: try: stdout, stderr = process.communicate(input, timeout=timeout) except TimeoutExpired as exc: process.kill() if _mswindows: # Windows accumulates the output in a single blocking # read() call run on child threads, with the timeout # being done in a join() on those threads. communicate() # _after_ kill() is required to collect that and add it # to the exception. exc.stdout, exc.stderr = process.communicate() else: # POSIX _communicate already populated the output so # far into the TimeoutExpired exception. process.wait() raise except: # Including KeyboardInterrupt, communicate handled that. process.kill() # We don't call process.wait() as .__exit__ does that for us. raise retcode = process.poll() if check and retcode: > raise CalledProcessError(retcode, process.args, output=stdout, stderr=stderr) E subprocess.CalledProcessError: Command '/tmp/tmphbbzef22/test_venv/bin/python -c "from nptyping import NDArray, Shape, Int; import numpy as np; print(isinstance(np.array([[1, 2], [3, 4]]), NDArray[Shape['2, 2'], Int]))"' returned non-zero exit status 1. /usr/lib64/python3.10/subprocess.py:526: CalledProcessError ----------------------------------------------------------------------------------- Captured stderr call ------------------------------------------------------------------------------------ Traceback (most recent call last): File "", line 1, in File "/home/tkloczko/rpmbuild/BUILD/nptyping-2.5.0/nptyping/__init__.py", line 32, in from nptyping.ndarray import NDArray File "/home/tkloczko/rpmbuild/BUILD/nptyping-2.5.0/nptyping/ndarray.py", line 28, in import numpy as np ModuleNotFoundError: No module named 'numpy' ===================================================================================== warnings summary ====================================================================================== ../../../../../usr/lib64/python3.10/unittest/loader.py:66 /usr/lib64/python3.10/unittest/loader.py:66: PytestCollectionWarning: cannot collect test class 'TestLoader' because it has a __init__ constructor (from: tests/test_wheel.py) class TestLoader(object): -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ================================================================================== short test summary info ================================================================================== FAILED tests/pandas_/test_mypy_dataframe.py::MyPyDataFrameTest::test_mypy_accepts_dataframe - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/pandas_/test_mypy_dataframe.py::MyPyDataFrameTest::test_mypy_disapproves_dataframe_with_wrong_function_arguments - AssertionError: 'Argument 1 to "func" has incompatible type "str"' not found in 'nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped]\nn... FAILED tests/pandas_/test_mypy_dataframe.py::MyPyDataFrameTest::test_mypy_knows_of_dataframe_methods - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_ndarray_with_any - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_ndarray_with_shape - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_ndarray_with_structure - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_ndarrays_as_function_arguments - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_ndarrays_as_variable_hints - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_nptyping_types - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_numpy_types - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_accepts_recarray_with_structure - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_mypy.py::MyPyTest::test_mypy_disapproves_ndarray_with_wrong_function_arguments - AssertionError: 'Found 1 error in 1 file' not found in 'nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped]\nnptyping/pandas_/dataframe... FAILED tests/test_mypy.py::MyPyTest::test_mypy_knows_of_ndarray_methods - AssertionError: 0 != 1 : nptyping/pandas_/dataframe.pyi:25: error: Library stubs not installed for "pandas" [import-untyped] FAILED tests/test_pyright.py::PyrightTest::test_pyright_accepts_array_with_shape - AssertionError: 0 != 1 : FAILED tests/test_pyright.py::PyrightTest::test_pyright_accepts_array_with_structure - AssertionError: 0 != 1 : FAILED tests/test_typeguard.py::TypeguardTest::test_success - nptyping.error.InvalidArgumentsError: Unexpected argument of type , expecting a string. FAILED tests/test_wheel.py::WheelTest::test_wheel_is_built_correctly - subprocess.CalledProcessError: Command '/usr/bin/python3 -m invoke wheel' returned non-zero exit status 127. FAILED tests/test_wheel.py::WheelTest::test_wheel_can_be_installed - subprocess.CalledProcessError: Command '/tmp/tmphbbzef22/test_venv/bin/python -m ensurepip --upgrade --default-pip' returned non-zero exit status 1. FAILED tests/test_wheel.py::WheelTest::test_basic_nptyping_code - subprocess.CalledProcessError: Command '/tmp/tmphbbzef22/test_venv/bin/python -c "from nptyping import NDArray, Shape, Int; import numpy as np; print(isinstance(np.array([[1, 2], [3, 4... ========================================================================= 19 failed, 87 passed, 1 warning in 41.03s ========================================================================= ```
jasper-tms commented 2 months ago

Now that numpy2.0.0 is out, all those numpy deprecations are now raising exceptions, so it would be great if this PR could be merged as a first step toward compatibility with the new numpy. On my fork I made a few additional changes that numpy recommends via their ruff rule, so we could PR my fork as well: https://github.com/jasper-tms/nptyping/commit/efc78eb26886e59a303a280466c4837e1671890f