PATH:
opt
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cloudlinux
/
venv
/
lib
/
python3.11
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site-packages
/
numpy
/
typing
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tests
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data
/
fail
import sys import numpy as np f2: np.float16 f8: np.float64 c8: np.complex64 # Construction np.float32(3j) # E: incompatible type # Technically the following examples are valid NumPy code. But they # are not considered a best practice, and people who wish to use the # stubs should instead do # # np.array([1.0, 0.0, 0.0], dtype=np.float32) # np.array([], dtype=np.complex64) # # See e.g. the discussion on the mailing list # # https://mail.python.org/pipermail/numpy-discussion/2020-April/080566.html # # and the issue # # https://github.com/numpy/numpy-stubs/issues/41 # # for more context. np.float32([1.0, 0.0, 0.0]) # E: incompatible type np.complex64([]) # E: incompatible type np.complex64(1, 2) # E: Too many arguments # TODO: protocols (can't check for non-existent protocols w/ __getattr__) np.datetime64(0) # E: No overload variant class A: def __float__(self): return 1.0 np.int8(A()) # E: incompatible type np.int16(A()) # E: incompatible type np.int32(A()) # E: incompatible type np.int64(A()) # E: incompatible type np.uint8(A()) # E: incompatible type np.uint16(A()) # E: incompatible type np.uint32(A()) # E: incompatible type np.uint64(A()) # E: incompatible type np.void("test") # E: No overload variant np.void("test", dtype=None) # E: No overload variant np.generic(1) # E: Cannot instantiate abstract class np.number(1) # E: Cannot instantiate abstract class np.integer(1) # E: Cannot instantiate abstract class np.inexact(1) # E: Cannot instantiate abstract class np.character("test") # E: Cannot instantiate abstract class np.flexible(b"test") # E: Cannot instantiate abstract class np.float64(value=0.0) # E: Unexpected keyword argument np.int64(value=0) # E: Unexpected keyword argument np.uint64(value=0) # E: Unexpected keyword argument np.complex128(value=0.0j) # E: Unexpected keyword argument np.str_(value='bob') # E: No overload variant np.bytes_(value=b'test') # E: No overload variant np.void(value=b'test') # E: No overload variant np.bool_(value=True) # E: Unexpected keyword argument np.datetime64(value="2019") # E: No overload variant np.timedelta64(value=0) # E: Unexpected keyword argument np.bytes_(b"hello", encoding='utf-8') # E: No overload variant np.str_("hello", encoding='utf-8') # E: No overload variant f8.item(1) # E: incompatible type f8.item((0, 1)) # E: incompatible type f8.squeeze(axis=1) # E: incompatible type f8.squeeze(axis=(0, 1)) # E: incompatible type f8.transpose(1) # E: incompatible type def func(a: np.float32) -> None: ... func(f2) # E: incompatible type func(f8) # E: incompatible type round(c8) # E: No overload variant c8.__getnewargs__() # E: Invalid self argument f2.__getnewargs__() # E: Invalid self argument f2.hex() # E: Invalid self argument np.float16.fromhex("0x0.0p+0") # E: Invalid self argument f2.__trunc__() # E: Invalid self argument f2.__getformat__("float") # E: Invalid self argument
[-] lib_utils.pyi
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[-] ndarray_misc.pyi
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[-] numerictypes.pyi
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[-] stride_tricks.pyi
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[-] random.pyi
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[-] ndarray.pyi
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[-] lib_function_base.pyi
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[-] lib_version.pyi
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[-] fromnumeric.pyi
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[-] dtype.pyi
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[-] lib_polynomial.pyi
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[-] datasource.pyi
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[-] chararray.pyi
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[-] comparisons.pyi
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