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Updated script that can be controled by Nodejs web app

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2024-11-25 12:24:18 +07:00
parent c440eda1f4
commit 8b0ab2bd3a
8662 changed files with 1803808 additions and 34 deletions
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123
lib/python3.13/site-packages/numpy/typing/tests/data/fail/arithmetic.pyi Normal file
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from typing import Any
import numpy as np
import numpy.typing as npt
b_ = np.bool()
dt = np.datetime64(0, "D")
td = np.timedelta64(0, "D")
AR_b: npt.NDArray[np.bool]
AR_u: npt.NDArray[np.uint32]
AR_i: npt.NDArray[np.int64]
AR_f: npt.NDArray[np.float64]
AR_c: npt.NDArray[np.complex128]
AR_m: npt.NDArray[np.timedelta64]
AR_M: npt.NDArray[np.datetime64]
ANY: Any
AR_LIKE_b: list[bool]
AR_LIKE_u: list[np.uint32]
AR_LIKE_i: list[int]
AR_LIKE_f: list[float]
AR_LIKE_c: list[complex]
AR_LIKE_m: list[np.timedelta64]
AR_LIKE_M: list[np.datetime64]
# Array subtraction
# NOTE: mypys `NoReturn` errors are, unfortunately, not that great
_1 = AR_b - AR_LIKE_b # E: Need type annotation
_2 = AR_LIKE_b - AR_b # E: Need type annotation
AR_i - bytes() # E: No overload variant
AR_f - AR_LIKE_m # E: Unsupported operand types
AR_f - AR_LIKE_M # E: Unsupported operand types
AR_c - AR_LIKE_m # E: Unsupported operand types
AR_c - AR_LIKE_M # E: Unsupported operand types
AR_m - AR_LIKE_f # E: Unsupported operand types
AR_M - AR_LIKE_f # E: Unsupported operand types
AR_m - AR_LIKE_c # E: Unsupported operand types
AR_M - AR_LIKE_c # E: Unsupported operand types
AR_m - AR_LIKE_M # E: Unsupported operand types
AR_LIKE_m - AR_M # E: Unsupported operand types
# array floor division
AR_M // AR_LIKE_b # E: Unsupported operand types
AR_M // AR_LIKE_u # E: Unsupported operand types
AR_M // AR_LIKE_i # E: Unsupported operand types
AR_M // AR_LIKE_f # E: Unsupported operand types
AR_M // AR_LIKE_c # E: Unsupported operand types
AR_M // AR_LIKE_m # E: Unsupported operand types
AR_M // AR_LIKE_M # E: Unsupported operand types
AR_b // AR_LIKE_M # E: Unsupported operand types
AR_u // AR_LIKE_M # E: Unsupported operand types
AR_i // AR_LIKE_M # E: Unsupported operand types
AR_f // AR_LIKE_M # E: Unsupported operand types
AR_c // AR_LIKE_M # E: Unsupported operand types
AR_m // AR_LIKE_M # E: Unsupported operand types
AR_M // AR_LIKE_M # E: Unsupported operand types
_3 = AR_m // AR_LIKE_b # E: Need type annotation
AR_m // AR_LIKE_c # E: Unsupported operand types
AR_b // AR_LIKE_m # E: Unsupported operand types
AR_u // AR_LIKE_m # E: Unsupported operand types
AR_i // AR_LIKE_m # E: Unsupported operand types
AR_f // AR_LIKE_m # E: Unsupported operand types
AR_c // AR_LIKE_m # E: Unsupported operand types
# Array multiplication
AR_b *= AR_LIKE_u # E: incompatible type
AR_b *= AR_LIKE_i # E: incompatible type
AR_b *= AR_LIKE_f # E: incompatible type
AR_b *= AR_LIKE_c # E: incompatible type
AR_b *= AR_LIKE_m # E: incompatible type
AR_u *= AR_LIKE_i # E: incompatible type
AR_u *= AR_LIKE_f # E: incompatible type
AR_u *= AR_LIKE_c # E: incompatible type
AR_u *= AR_LIKE_m # E: incompatible type
AR_i *= AR_LIKE_f # E: incompatible type
AR_i *= AR_LIKE_c # E: incompatible type
AR_i *= AR_LIKE_m # E: incompatible type
AR_f *= AR_LIKE_c # E: incompatible type
AR_f *= AR_LIKE_m # E: incompatible type
# Array power
AR_b **= AR_LIKE_b # E: Invalid self argument
AR_b **= AR_LIKE_u # E: Invalid self argument
AR_b **= AR_LIKE_i # E: Invalid self argument
AR_b **= AR_LIKE_f # E: Invalid self argument
AR_b **= AR_LIKE_c # E: Invalid self argument
AR_u **= AR_LIKE_i # E: incompatible type
AR_u **= AR_LIKE_f # E: incompatible type
AR_u **= AR_LIKE_c # E: incompatible type
AR_i **= AR_LIKE_f # E: incompatible type
AR_i **= AR_LIKE_c # E: incompatible type
AR_f **= AR_LIKE_c # E: incompatible type
# Scalars
b_ - b_ # E: No overload variant
dt + dt # E: Unsupported operand types
td - dt # E: Unsupported operand types
td % 1 # E: Unsupported operand types
td / dt # E: No overload
td % dt # E: Unsupported operand types
-b_ # E: Unsupported operand type
+b_ # E: Unsupported operand type

34
lib/python3.13/site-packages/numpy/typing/tests/data/fail/array_constructors.pyi Normal file
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import numpy as np
import numpy.typing as npt
a: npt.NDArray[np.float64]
generator = (i for i in range(10))
np.require(a, requirements=1) # E: No overload variant
np.require(a, requirements="TEST") # E: incompatible type
np.zeros("test") # E: incompatible type
np.zeros() # E: require at least one argument
np.ones("test") # E: incompatible type
np.ones() # E: require at least one argument
np.array(0, float, True) # E: No overload variant
np.linspace(None, 'bob') # E: No overload variant
np.linspace(0, 2, num=10.0) # E: No overload variant
np.linspace(0, 2, endpoint='True') # E: No overload variant
np.linspace(0, 2, retstep=b'False') # E: No overload variant
np.linspace(0, 2, dtype=0) # E: No overload variant
np.linspace(0, 2, axis=None) # E: No overload variant
np.logspace(None, 'bob') # E: No overload variant
np.logspace(0, 2, base=None) # E: No overload variant
np.geomspace(None, 'bob') # E: No overload variant
np.stack(generator) # E: No overload variant
np.hstack({1, 2}) # E: No overload variant
np.vstack(1) # E: No overload variant
np.array([1], like=1) # E: No overload variant

16
lib/python3.13/site-packages/numpy/typing/tests/data/fail/array_like.pyi Normal file
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import numpy as np
from numpy._typing import ArrayLike
class A:
pass
x1: ArrayLike = (i for i in range(10)) # E: Incompatible types in assignment
x2: ArrayLike = A() # E: Incompatible types in assignment
x3: ArrayLike = {1: "foo", 2: "bar"} # E: Incompatible types in assignment
scalar = np.int64(1)
scalar.__array__(dtype=np.float64) # E: No overload variant
array = np.array([1])
array.__array__(dtype=np.float64) # E: No overload variant

6
lib/python3.13/site-packages/numpy/typing/tests/data/fail/array_pad.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_i8: npt.NDArray[np.int64]
np.pad(AR_i8, 2, mode="bob") # E: No overload variant

16
lib/python3.13/site-packages/numpy/typing/tests/data/fail/arrayprint.pyi Normal file
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from collections.abc import Callable
from typing import Any
import numpy as np
import numpy.typing as npt
AR: npt.NDArray[np.float64]
func1: Callable[[Any], str]
func2: Callable[[np.integer[Any]], str]
np.array2string(AR, style=None) # E: Unexpected keyword argument
np.array2string(AR, legacy="1.14") # E: incompatible type
np.array2string(AR, sign="*") # E: incompatible type
np.array2string(AR, floatmode="default") # E: incompatible type
np.array2string(AR, formatter={"A": func1}) # E: incompatible type
np.array2string(AR, formatter={"float": func2}) # E: Incompatible types

14
lib/python3.13/site-packages/numpy/typing/tests/data/fail/arrayterator.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_i8: npt.NDArray[np.int64]
ar_iter = np.lib.Arrayterator(AR_i8)
np.lib.Arrayterator(np.int64()) # E: incompatible type
ar_iter.shape = (10, 5) # E: is read-only
ar_iter[None] # E: Invalid index type
ar_iter[None, 1] # E: Invalid index type
ar_iter[np.intp()] # E: Invalid index type
ar_iter[np.intp(), ...] # E: Invalid index type
ar_iter[AR_i8] # E: Invalid index type
ar_iter[AR_i8, :] # E: Invalid index type

21
lib/python3.13/site-packages/numpy/typing/tests/data/fail/bitwise_ops.pyi Normal file
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import numpy as np
i8 = np.int64()
i4 = np.int32()
u8 = np.uint64()
b_ = np.bool()
i = int()
f8 = np.float64()
b_ >> f8 # E: No overload variant
i8 << f8 # E: No overload variant
i | f8 # E: Unsupported operand types
i8 ^ f8 # E: No overload variant
u8 & f8 # E: No overload variant
~f8 # E: Unsupported operand type
# TODO: Certain mixes like i4 << u8 go to float and thus should fail
# mypys' error message for `NoReturn` is unfortunately pretty bad
# TODO: Re-enable this once we add support for numerical precision for `number`s
# a = u8 | 0 # E: Need type annotation

69
lib/python3.13/site-packages/numpy/typing/tests/data/fail/char.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_U: npt.NDArray[np.str_]
AR_S: npt.NDArray[np.bytes_]
np.char.equal(AR_U, AR_S) # E: incompatible type
np.char.not_equal(AR_U, AR_S) # E: incompatible type
np.char.greater_equal(AR_U, AR_S) # E: incompatible type
np.char.less_equal(AR_U, AR_S) # E: incompatible type
np.char.greater(AR_U, AR_S) # E: incompatible type
np.char.less(AR_U, AR_S) # E: incompatible type
np.char.encode(AR_S) # E: incompatible type
np.char.decode(AR_U) # E: incompatible type
np.char.join(AR_U, b"_") # E: incompatible type
np.char.join(AR_S, "_") # E: incompatible type
np.char.ljust(AR_U, 5, fillchar=b"a") # E: incompatible type
np.char.ljust(AR_S, 5, fillchar="a") # E: incompatible type
np.char.rjust(AR_U, 5, fillchar=b"a") # E: incompatible type
np.char.rjust(AR_S, 5, fillchar="a") # E: incompatible type
np.char.lstrip(AR_U, chars=b"a") # E: incompatible type
np.char.lstrip(AR_S, chars="a") # E: incompatible type
np.char.strip(AR_U, chars=b"a") # E: incompatible type
np.char.strip(AR_S, chars="a") # E: incompatible type
np.char.rstrip(AR_U, chars=b"a") # E: incompatible type
np.char.rstrip(AR_S, chars="a") # E: incompatible type
np.char.partition(AR_U, b"a") # E: incompatible type
np.char.partition(AR_S, "a") # E: incompatible type
np.char.rpartition(AR_U, b"a") # E: incompatible type
np.char.rpartition(AR_S, "a") # E: incompatible type
np.char.replace(AR_U, b"_", b"-") # E: incompatible type
np.char.replace(AR_S, "_", "-") # E: incompatible type
np.char.split(AR_U, b"_") # E: incompatible type
np.char.split(AR_S, "_") # E: incompatible type
np.char.rsplit(AR_U, b"_") # E: incompatible type
np.char.rsplit(AR_S, "_") # E: incompatible type
np.char.count(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.count(AR_S, "a", end=9) # E: incompatible type
np.char.endswith(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.endswith(AR_S, "a", end=9) # E: incompatible type
np.char.startswith(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.startswith(AR_S, "a", end=9) # E: incompatible type
np.char.find(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.find(AR_S, "a", end=9) # E: incompatible type
np.char.rfind(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.rfind(AR_S, "a", end=9) # E: incompatible type
np.char.index(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.index(AR_S, "a", end=9) # E: incompatible type
np.char.rindex(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.char.rindex(AR_S, "a", end=9) # E: incompatible type
np.char.isdecimal(AR_S) # E: incompatible type
np.char.isnumeric(AR_S) # E: incompatible type

62
lib/python3.13/site-packages/numpy/typing/tests/data/fail/chararray.pyi Normal file
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import numpy as np
from typing import Any
AR_U: np.char.chararray[Any, np.dtype[np.str_]]
AR_S: np.char.chararray[Any, np.dtype[np.bytes_]]
AR_S.encode() # E: Invalid self argument
AR_U.decode() # E: Invalid self argument
AR_U.join(b"_") # E: incompatible type
AR_S.join("_") # E: incompatible type
AR_U.ljust(5, fillchar=b"a") # E: incompatible type
AR_S.ljust(5, fillchar="a") # E: incompatible type
AR_U.rjust(5, fillchar=b"a") # E: incompatible type
AR_S.rjust(5, fillchar="a") # E: incompatible type
AR_U.lstrip(chars=b"a") # E: incompatible type
AR_S.lstrip(chars="a") # E: incompatible type
AR_U.strip(chars=b"a") # E: incompatible type
AR_S.strip(chars="a") # E: incompatible type
AR_U.rstrip(chars=b"a") # E: incompatible type
AR_S.rstrip(chars="a") # E: incompatible type
AR_U.partition(b"a") # E: incompatible type
AR_S.partition("a") # E: incompatible type
AR_U.rpartition(b"a") # E: incompatible type
AR_S.rpartition("a") # E: incompatible type
AR_U.replace(b"_", b"-") # E: incompatible type
AR_S.replace("_", "-") # E: incompatible type
AR_U.split(b"_") # E: incompatible type
AR_S.split("_") # E: incompatible type
AR_S.split(1) # E: incompatible type
AR_U.rsplit(b"_") # E: incompatible type
AR_S.rsplit("_") # E: incompatible type
AR_U.count(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.count("a", end=9) # E: incompatible type
AR_U.endswith(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.endswith("a", end=9) # E: incompatible type
AR_U.startswith(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.startswith("a", end=9) # E: incompatible type
AR_U.find(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.find("a", end=9) # E: incompatible type
AR_U.rfind(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.rfind("a", end=9) # E: incompatible type
AR_U.index(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.index("a", end=9) # E: incompatible type
AR_U.rindex(b"a", start=[1, 2, 3]) # E: incompatible type
AR_S.rindex("a", end=9) # E: incompatible type
AR_U == AR_S # E: Unsupported operand types
AR_U != AR_S # E: Unsupported operand types
AR_U >= AR_S # E: Unsupported operand types
AR_U <= AR_S # E: Unsupported operand types
AR_U > AR_S # E: Unsupported operand types
AR_U < AR_S # E: Unsupported operand types

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lib/python3.13/site-packages/numpy/typing/tests/data/fail/comparisons.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_i: npt.NDArray[np.int64]
AR_f: npt.NDArray[np.float64]
AR_c: npt.NDArray[np.complex128]
AR_m: npt.NDArray[np.timedelta64]
AR_M: npt.NDArray[np.datetime64]
AR_f > AR_m # E: Unsupported operand types
AR_c > AR_m # E: Unsupported operand types
AR_m > AR_f # E: Unsupported operand types
AR_m > AR_c # E: Unsupported operand types
AR_i > AR_M # E: Unsupported operand types
AR_f > AR_M # E: Unsupported operand types
AR_m > AR_M # E: Unsupported operand types
AR_M > AR_i # E: Unsupported operand types
AR_M > AR_f # E: Unsupported operand types
AR_M > AR_m # E: Unsupported operand types
AR_i > str() # E: No overload variant
AR_i > bytes() # E: No overload variant
str() > AR_M # E: Unsupported operand types
bytes() > AR_M # E: Unsupported operand types

3
lib/python3.13/site-packages/numpy/typing/tests/data/fail/constants.pyi Normal file
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import numpy as np
np.little_endian = np.little_endian # E: Cannot assign to final

15
lib/python3.13/site-packages/numpy/typing/tests/data/fail/datasource.pyi Normal file
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from pathlib import Path
import numpy as np
path: Path
d1: np.lib.npyio.DataSource
d1.abspath(path) # E: incompatible type
d1.abspath(b"...") # E: incompatible type
d1.exists(path) # E: incompatible type
d1.exists(b"...") # E: incompatible type
d1.open(path, "r") # E: incompatible type
d1.open(b"...", encoding="utf8") # E: incompatible type
d1.open(None, newline="/n") # E: incompatible type

20
lib/python3.13/site-packages/numpy/typing/tests/data/fail/dtype.pyi Normal file
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import numpy as np
class Test1:
not_dtype = np.dtype(float)
class Test2:
dtype = float
np.dtype(Test1()) # E: No overload variant of "dtype" matches
np.dtype(Test2()) # E: incompatible type
np.dtype( # E: No overload variant of "dtype" matches
{
"field1": (float, 1),
"field2": (int, 3),
}
)

12
lib/python3.13/site-packages/numpy/typing/tests/data/fail/einsumfunc.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_i: npt.NDArray[np.int64]
AR_f: npt.NDArray[np.float64]
AR_m: npt.NDArray[np.timedelta64]
AR_U: npt.NDArray[np.str_]
np.einsum("i,i->i", AR_i, AR_m) # E: incompatible type
np.einsum("i,i->i", AR_f, AR_f, dtype=np.int32) # E: incompatible type
np.einsum("i,i->i", AR_i, AR_i, out=AR_U) # E: Value of type variable "_ArrayType" of "einsum" cannot be
np.einsum("i,i->i", AR_i, AR_i, out=AR_U, casting="unsafe") # E: No overload variant

11
lib/python3.13/site-packages/numpy/typing/tests/data/fail/false_positives.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_f8: npt.NDArray[np.float64]
# NOTE: Mypy bug presumably due to the special-casing of heterogeneous tuples;
# xref numpy/numpy#20901
#
# The expected output should be no different than, e.g., when using a
# list instead of a tuple
np.concatenate(([1], AR_f8)) # E: Argument 1 to "concatenate" has incompatible type

25
lib/python3.13/site-packages/numpy/typing/tests/data/fail/flatiter.pyi Normal file
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from typing import Any
import numpy as np
import numpy._typing as npt
class Index:
def __index__(self) -> int:
...
a: np.flatiter[npt.NDArray[np.float64]]
supports_array: npt._SupportsArray[np.dtype[np.float64]]
a.base = Any # E: Property "base" defined in "flatiter" is read-only
a.coords = Any # E: Property "coords" defined in "flatiter" is read-only
a.index = Any # E: Property "index" defined in "flatiter" is read-only
a.copy(order='C') # E: Unexpected keyword argument
# NOTE: Contrary to `ndarray.__getitem__` its counterpart in `flatiter`
# does not accept objects with the `__array__` or `__index__` protocols;
# boolean indexing is just plain broken (gh-17175)
a[np.bool()] # E: No overload variant of "__getitem__"
a[Index()] # E: No overload variant of "__getitem__"
a[supports_array] # E: No overload variant of "__getitem__"

161
lib/python3.13/site-packages/numpy/typing/tests/data/fail/fromnumeric.pyi Normal file
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"""Tests for :mod:`numpy._core.fromnumeric`."""
import numpy as np
import numpy.typing as npt
A = np.array(True, ndmin=2, dtype=bool)
A.setflags(write=False)
AR_U: npt.NDArray[np.str_]
a = np.bool(True)
np.take(a, None) # E: No overload variant
np.take(a, axis=1.0) # E: No overload variant
np.take(A, out=1) # E: No overload variant
np.take(A, mode="bob") # E: No overload variant
np.reshape(a, None) # E: No overload variant
np.reshape(A, 1, order="bob") # E: No overload variant
np.choose(a, None) # E: No overload variant
np.choose(a, out=1.0) # E: No overload variant
np.choose(A, mode="bob") # E: No overload variant
np.repeat(a, None) # E: No overload variant
np.repeat(A, 1, axis=1.0) # E: No overload variant
np.swapaxes(A, None, 1) # E: No overload variant
np.swapaxes(A, 1, [0]) # E: No overload variant
np.transpose(A, axes=1.0) # E: No overload variant
np.partition(a, None) # E: No overload variant
np.partition( # E: No overload variant
a, 0, axis="bob"
)
np.partition( # E: No overload variant
A, 0, kind="bob"
)
np.partition(
A, 0, order=range(5) # E: Argument "order" to "partition" has incompatible type
)
np.argpartition(
a, None # E: incompatible type
)
np.argpartition(
a, 0, axis="bob" # E: incompatible type
)
np.argpartition(
A, 0, kind="bob" # E: incompatible type
)
np.argpartition(
A, 0, order=range(5) # E: Argument "order" to "argpartition" has incompatible type
)
np.sort(A, axis="bob") # E: No overload variant
np.sort(A, kind="bob") # E: No overload variant
np.sort(A, order=range(5)) # E: Argument "order" to "sort" has incompatible type
np.argsort(A, axis="bob") # E: Argument "axis" to "argsort" has incompatible type
np.argsort(A, kind="bob") # E: Argument "kind" to "argsort" has incompatible type
np.argsort(A, order=range(5)) # E: Argument "order" to "argsort" has incompatible type
np.argmax(A, axis="bob") # E: No overload variant of "argmax" matches argument type
np.argmax(A, kind="bob") # E: No overload variant of "argmax" matches argument type
np.argmin(A, axis="bob") # E: No overload variant of "argmin" matches argument type
np.argmin(A, kind="bob") # E: No overload variant of "argmin" matches argument type
np.searchsorted( # E: No overload variant of "searchsorted" matches argument type
A[0], 0, side="bob"
)
np.searchsorted( # E: No overload variant of "searchsorted" matches argument type
A[0], 0, sorter=1.0
)
np.resize(A, 1.0) # E: No overload variant
np.squeeze(A, 1.0) # E: No overload variant of "squeeze" matches argument type
np.diagonal(A, offset=None) # E: No overload variant
np.diagonal(A, axis1="bob") # E: No overload variant
np.diagonal(A, axis2=[]) # E: No overload variant
np.trace(A, offset=None) # E: No overload variant
np.trace(A, axis1="bob") # E: No overload variant
np.trace(A, axis2=[]) # E: No overload variant
np.ravel(a, order="bob") # E: No overload variant
np.compress( # E: No overload variant
[True], A, axis=1.0
)
np.clip(a, 1, 2, out=1) # E: No overload variant of "clip" matches argument type
np.sum(a, axis=1.0) # E: No overload variant
np.sum(a, keepdims=1.0) # E: No overload variant
np.sum(a, initial=[1]) # E: No overload variant
np.all(a, axis=1.0) # E: No overload variant
np.all(a, keepdims=1.0) # E: No overload variant
np.all(a, out=1.0) # E: No overload variant
np.any(a, axis=1.0) # E: No overload variant
np.any(a, keepdims=1.0) # E: No overload variant
np.any(a, out=1.0) # E: No overload variant
np.cumsum(a, axis=1.0) # E: No overload variant
np.cumsum(a, dtype=1.0) # E: No overload variant
np.cumsum(a, out=1.0) # E: No overload variant
np.ptp(a, axis=1.0) # E: No overload variant
np.ptp(a, keepdims=1.0) # E: No overload variant
np.ptp(a, out=1.0) # E: No overload variant
np.amax(a, axis=1.0) # E: No overload variant
np.amax(a, keepdims=1.0) # E: No overload variant
np.amax(a, out=1.0) # E: No overload variant
np.amax(a, initial=[1.0]) # E: No overload variant
np.amax(a, where=[1.0]) # E: incompatible type
np.amin(a, axis=1.0) # E: No overload variant
np.amin(a, keepdims=1.0) # E: No overload variant
np.amin(a, out=1.0) # E: No overload variant
np.amin(a, initial=[1.0]) # E: No overload variant
np.amin(a, where=[1.0]) # E: incompatible type
np.prod(a, axis=1.0) # E: No overload variant
np.prod(a, out=False) # E: No overload variant
np.prod(a, keepdims=1.0) # E: No overload variant
np.prod(a, initial=int) # E: No overload variant
np.prod(a, where=1.0) # E: No overload variant
np.prod(AR_U) # E: incompatible type
np.cumprod(a, axis=1.0) # E: No overload variant
np.cumprod(a, out=False) # E: No overload variant
np.cumprod(AR_U) # E: incompatible type
np.size(a, axis=1.0) # E: Argument "axis" to "size" has incompatible type
np.around(a, decimals=1.0) # E: No overload variant
np.around(a, out=type) # E: No overload variant
np.around(AR_U) # E: incompatible type
np.mean(a, axis=1.0) # E: No overload variant
np.mean(a, out=False) # E: No overload variant
np.mean(a, keepdims=1.0) # E: No overload variant
np.mean(AR_U) # E: incompatible type
np.std(a, axis=1.0) # E: No overload variant
np.std(a, out=False) # E: No overload variant
np.std(a, ddof='test') # E: No overload variant
np.std(a, keepdims=1.0) # E: No overload variant
np.std(AR_U) # E: incompatible type
np.var(a, axis=1.0) # E: No overload variant
np.var(a, out=False) # E: No overload variant
np.var(a, ddof='test') # E: No overload variant
np.var(a, keepdims=1.0) # E: No overload variant
np.var(AR_U) # E: incompatible type

12
lib/python3.13/site-packages/numpy/typing/tests/data/fail/histograms.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_i8: npt.NDArray[np.int64]
AR_f8: npt.NDArray[np.float64]
np.histogram_bin_edges(AR_i8, range=(0, 1, 2)) # E: incompatible type
np.histogram(AR_i8, range=(0, 1, 2)) # E: incompatible type
np.histogramdd(AR_i8, range=(0, 1)) # E: incompatible type
np.histogramdd(AR_i8, range=[(0, 1, 2)]) # E: incompatible type

14
lib/python3.13/site-packages/numpy/typing/tests/data/fail/index_tricks.pyi Normal file
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import numpy as np
AR_LIKE_i: list[int]
AR_LIKE_f: list[float]
np.ndindex([1, 2, 3]) # E: No overload variant
np.unravel_index(AR_LIKE_f, (1, 2, 3)) # E: incompatible type
np.ravel_multi_index(AR_LIKE_i, (1, 2, 3), mode="bob") # E: No overload variant
np.mgrid[1] # E: Invalid index type
np.mgrid[...] # E: Invalid index type
np.ogrid[1] # E: Invalid index type
np.ogrid[...] # E: Invalid index type
np.fill_diagonal(AR_LIKE_f, 2) # E: incompatible type
np.diag_indices(1.0) # E: incompatible type

51
lib/python3.13/site-packages/numpy/typing/tests/data/fail/lib_function_base.pyi Normal file
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from typing import Any
import numpy as np
import numpy.typing as npt
AR_f8: npt.NDArray[np.float64]
AR_c16: npt.NDArray[np.complex128]
AR_m: npt.NDArray[np.timedelta64]
AR_M: npt.NDArray[np.datetime64]
AR_O: npt.NDArray[np.object_]
def func(a: int) -> None: ...
np.average(AR_m) # E: incompatible type
np.select(1, [AR_f8]) # E: incompatible type
np.angle(AR_m) # E: incompatible type
np.unwrap(AR_m) # E: incompatible type
np.unwrap(AR_c16) # E: incompatible type
np.trim_zeros(1) # E: incompatible type
np.place(1, [True], 1.5) # E: incompatible type
np.vectorize(1) # E: incompatible type
np.place(AR_f8, slice(None), 5) # E: incompatible type
np.interp(AR_f8, AR_c16, AR_f8) # E: incompatible type
np.interp(AR_c16, AR_f8, AR_f8) # E: incompatible type
np.interp(AR_f8, AR_f8, AR_f8, period=AR_c16) # E: No overload variant
np.interp(AR_f8, AR_f8, AR_O) # E: incompatible type
np.cov(AR_m) # E: incompatible type
np.cov(AR_O) # E: incompatible type
np.corrcoef(AR_m) # E: incompatible type
np.corrcoef(AR_O) # E: incompatible type
np.corrcoef(AR_f8, bias=True) # E: No overload variant
np.corrcoef(AR_f8, ddof=2) # E: No overload variant
np.blackman(1j) # E: incompatible type
np.bartlett(1j) # E: incompatible type
np.hanning(1j) # E: incompatible type
np.hamming(1j) # E: incompatible type
np.hamming(AR_c16) # E: incompatible type
np.kaiser(1j, 1) # E: incompatible type
np.sinc(AR_O) # E: incompatible type
np.median(AR_M) # E: incompatible type
np.percentile(AR_f8, 50j) # E: No overload variant
np.percentile(AR_f8, 50, interpolation="bob") # E: No overload variant
np.quantile(AR_f8, 0.5j) # E: No overload variant
np.quantile(AR_f8, 0.5, interpolation="bob") # E: No overload variant
np.meshgrid(AR_f8, AR_f8, indexing="bob") # E: incompatible type
np.delete(AR_f8, AR_f8) # E: incompatible type
np.insert(AR_f8, AR_f8, 1.5) # E: incompatible type
np.digitize(AR_f8, 1j) # E: No overload variant

29
lib/python3.13/site-packages/numpy/typing/tests/data/fail/lib_polynomial.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_f8: npt.NDArray[np.float64]
AR_c16: npt.NDArray[np.complex128]
AR_O: npt.NDArray[np.object_]
AR_U: npt.NDArray[np.str_]
poly_obj: np.poly1d
np.polymul(AR_f8, AR_U) # E: incompatible type
np.polydiv(AR_f8, AR_U) # E: incompatible type
5**poly_obj # E: No overload variant
np.polyint(AR_U) # E: incompatible type
np.polyint(AR_f8, m=1j) # E: No overload variant
np.polyder(AR_U) # E: incompatible type
np.polyder(AR_f8, m=1j) # E: No overload variant
np.polyfit(AR_O, AR_f8, 1) # E: incompatible type
np.polyfit(AR_f8, AR_f8, 1, rcond=1j) # E: No overload variant
np.polyfit(AR_f8, AR_f8, 1, w=AR_c16) # E: incompatible type
np.polyfit(AR_f8, AR_f8, 1, cov="bob") # E: No overload variant
np.polyval(AR_f8, AR_U) # E: incompatible type
np.polyadd(AR_f8, AR_U) # E: incompatible type
np.polysub(AR_f8, AR_U) # E: incompatible type

3
lib/python3.13/site-packages/numpy/typing/tests/data/fail/lib_utils.pyi Normal file
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import numpy.lib.array_utils as array_utils
array_utils.byte_bounds(1) # E: incompatible type

6
lib/python3.13/site-packages/numpy/typing/tests/data/fail/lib_version.pyi Normal file
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from numpy.lib import NumpyVersion
version: NumpyVersion
NumpyVersion(b"1.8.0") # E: incompatible type
version >= b"1.8.0" # E: Unsupported operand types

48
lib/python3.13/site-packages/numpy/typing/tests/data/fail/linalg.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_f8: npt.NDArray[np.float64]
AR_O: npt.NDArray[np.object_]
AR_M: npt.NDArray[np.datetime64]
np.linalg.tensorsolve(AR_O, AR_O) # E: incompatible type
np.linalg.solve(AR_O, AR_O) # E: incompatible type
np.linalg.tensorinv(AR_O) # E: incompatible type
np.linalg.inv(AR_O) # E: incompatible type
np.linalg.matrix_power(AR_M, 5) # E: incompatible type
np.linalg.cholesky(AR_O) # E: incompatible type
np.linalg.qr(AR_O) # E: incompatible type
np.linalg.qr(AR_f8, mode="bob") # E: No overload variant
np.linalg.eigvals(AR_O) # E: incompatible type
np.linalg.eigvalsh(AR_O) # E: incompatible type
np.linalg.eigvalsh(AR_O, UPLO="bob") # E: No overload variant
np.linalg.eig(AR_O) # E: incompatible type
np.linalg.eigh(AR_O) # E: incompatible type
np.linalg.eigh(AR_O, UPLO="bob") # E: No overload variant
np.linalg.svd(AR_O) # E: incompatible type
np.linalg.cond(AR_O) # E: incompatible type
np.linalg.cond(AR_f8, p="bob") # E: incompatible type
np.linalg.matrix_rank(AR_O) # E: incompatible type
np.linalg.pinv(AR_O) # E: incompatible type
np.linalg.slogdet(AR_O) # E: incompatible type
np.linalg.det(AR_O) # E: incompatible type
np.linalg.norm(AR_f8, ord="bob") # E: No overload variant
np.linalg.multi_dot([AR_M]) # E: incompatible type

5
lib/python3.13/site-packages/numpy/typing/tests/data/fail/memmap.pyi Normal file
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import numpy as np
with open("file.txt", "r") as f:
np.memmap(f) # E: No overload variant
np.memmap("test.txt", shape=[10, 5]) # E: No overload variant

18
lib/python3.13/site-packages/numpy/typing/tests/data/fail/modules.pyi Normal file
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import numpy as np
np.testing.bob # E: Module has no attribute
np.bob # E: Module has no attribute
# Stdlib modules in the namespace by accident
np.warnings # E: Module has no attribute
np.sys # E: Module has no attribute
np.os # E: Module "numpy" does not explicitly export
np.math # E: Module has no attribute
# Public sub-modules that are not imported to their parent module by default;
# e.g. one must first execute `import numpy.lib.recfunctions`
np.lib.recfunctions # E: Module has no attribute
np.__NUMPY_SETUP__ # E: Module has no attribute
np.__deprecated_attrs__ # E: Module has no attribute
np.__expired_functions__ # E: Module has no attribute

53
lib/python3.13/site-packages/numpy/typing/tests/data/fail/multiarray.pyi Normal file
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import numpy as np
import numpy.typing as npt
i8: np.int64
AR_b: npt.NDArray[np.bool]
AR_u1: npt.NDArray[np.uint8]
AR_i8: npt.NDArray[np.int64]
AR_f8: npt.NDArray[np.float64]
AR_M: npt.NDArray[np.datetime64]
M: np.datetime64
AR_LIKE_f: list[float]
def func(a: int) -> None: ...
np.where(AR_b, 1) # E: No overload variant
np.can_cast(AR_f8, 1) # E: incompatible type
np.vdot(AR_M, AR_M) # E: incompatible type
np.copyto(AR_LIKE_f, AR_f8) # E: incompatible type
np.putmask(AR_LIKE_f, [True, True, False], 1.5) # E: incompatible type
np.packbits(AR_f8) # E: incompatible type
np.packbits(AR_u1, bitorder=">") # E: incompatible type
np.unpackbits(AR_i8) # E: incompatible type
np.unpackbits(AR_u1, bitorder=">") # E: incompatible type
np.shares_memory(1, 1, max_work=i8) # E: incompatible type
np.may_share_memory(1, 1, max_work=i8) # E: incompatible type
np.arange(M) # E: No overload variant
np.arange(stop=10) # E: No overload variant
np.datetime_data(int) # E: incompatible type
np.busday_offset("2012", 10) # E: No overload variant
np.datetime_as_string("2012") # E: No overload variant
np.char.compare_chararrays("a", b"a", "==", False) # E: No overload variant
np.nested_iters([AR_i8, AR_i8]) # E: Missing positional argument
np.nested_iters([AR_i8, AR_i8], 0) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [0]) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [[0], [1]], flags=["test"]) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [[0], [1]], op_flags=[["test"]]) # E: incompatible type
np.nested_iters([AR_i8, AR_i8], [[0], [1]], buffersize=1.0) # E: incompatible type

11
lib/python3.13/site-packages/numpy/typing/tests/data/fail/ndarray.pyi Normal file
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import numpy as np
# Ban setting dtype since mutating the type of the array in place
# makes having ndarray be generic over dtype impossible. Generally
# users should use `ndarray.view` in this situation anyway. See
#
# https://github.com/numpy/numpy-stubs/issues/7
#
# for more context.
float_array = np.array([1.0])
float_array.dtype = np.bool # E: Property "dtype" defined in "ndarray" is read-only

43
lib/python3.13/site-packages/numpy/typing/tests/data/fail/ndarray_misc.pyi Normal file
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"""
Tests for miscellaneous (non-magic) ``np.ndarray``/``np.generic`` methods.
More extensive tests are performed for the methods'
function-based counterpart in `../from_numeric.py`.
"""
import numpy as np
import numpy.typing as npt
f8: np.float64
AR_f8: npt.NDArray[np.float64]
AR_M: npt.NDArray[np.datetime64]
AR_b: npt.NDArray[np.bool]
ctypes_obj = AR_f8.ctypes
reveal_type(ctypes_obj.get_data()) # E: has no attribute
reveal_type(ctypes_obj.get_shape()) # E: has no attribute
reveal_type(ctypes_obj.get_strides()) # E: has no attribute
reveal_type(ctypes_obj.get_as_parameter()) # E: has no attribute
f8.argpartition(0) # E: has no attribute
f8.diagonal() # E: has no attribute
f8.dot(1) # E: has no attribute
f8.nonzero() # E: has no attribute
f8.partition(0) # E: has no attribute
f8.put(0, 2) # E: has no attribute
f8.setfield(2, np.float64) # E: has no attribute
f8.sort() # E: has no attribute
f8.trace() # E: has no attribute
AR_M.__int__() # E: Invalid self argument
AR_M.__float__() # E: Invalid self argument
AR_M.__complex__() # E: Invalid self argument
AR_b.__index__() # E: Invalid self argument
AR_f8[1.5] # E: No overload variant
AR_f8["field_a"] # E: No overload variant
AR_f8[["field_a", "field_b"]] # E: Invalid index type
AR_f8.__array_finalize__(object()) # E: incompatible type

8
lib/python3.13/site-packages/numpy/typing/tests/data/fail/nditer.pyi Normal file
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import numpy as np
class Test(np.nditer): ... # E: Cannot inherit from final class
np.nditer([0, 1], flags=["test"]) # E: incompatible type
np.nditer([0, 1], op_flags=[["test"]]) # E: incompatible type
np.nditer([0, 1], itershape=(1.0,)) # E: incompatible type
np.nditer([0, 1], buffersize=1.0) # E: incompatible type

17
lib/python3.13/site-packages/numpy/typing/tests/data/fail/nested_sequence.pyi Normal file
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from collections.abc import Sequence
from numpy._typing import _NestedSequence
a: Sequence[float]
b: list[complex]
c: tuple[str, ...]
d: int
e: str
def func(a: _NestedSequence[int]) -> None:
...
reveal_type(func(a)) # E: incompatible type
reveal_type(func(b)) # E: incompatible type
reveal_type(func(c)) # E: incompatible type
reveal_type(func(d)) # E: incompatible type
reveal_type(func(e)) # E: incompatible type

23
lib/python3.13/site-packages/numpy/typing/tests/data/fail/npyio.pyi Normal file
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import pathlib
from typing import IO
import numpy.typing as npt
import numpy as np
str_path: str
bytes_path: bytes
pathlib_path: pathlib.Path
str_file: IO[str]
AR_i8: npt.NDArray[np.int64]
np.load(str_file) # E: incompatible type
np.save(bytes_path, AR_i8) # E: incompatible type
np.savez(bytes_path, AR_i8) # E: incompatible type
np.savez_compressed(bytes_path, AR_i8) # E: incompatible type
np.loadtxt(bytes_path) # E: incompatible type
np.fromregex(bytes_path, ".", np.int64) # E: No overload variant

5
lib/python3.13/site-packages/numpy/typing/tests/data/fail/numerictypes.pyi Normal file
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import numpy as np
np.isdtype(1, np.int64) # E: incompatible type
np.issubdtype(1, np.int64) # E: incompatible type

62
lib/python3.13/site-packages/numpy/typing/tests/data/fail/random.pyi Normal file
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import numpy as np
import numpy.typing as npt
SEED_FLOAT: float = 457.3
SEED_ARR_FLOAT: npt.NDArray[np.float64] = np.array([1.0, 2, 3, 4])
SEED_ARRLIKE_FLOAT: list[float] = [1.0, 2.0, 3.0, 4.0]
SEED_SEED_SEQ: np.random.SeedSequence = np.random.SeedSequence(0)
SEED_STR: str = "String seeding not allowed"
# default rng
np.random.default_rng(SEED_FLOAT) # E: incompatible type
np.random.default_rng(SEED_ARR_FLOAT) # E: incompatible type
np.random.default_rng(SEED_ARRLIKE_FLOAT) # E: incompatible type
np.random.default_rng(SEED_STR) # E: incompatible type
# Seed Sequence
np.random.SeedSequence(SEED_FLOAT) # E: incompatible type
np.random.SeedSequence(SEED_ARR_FLOAT) # E: incompatible type
np.random.SeedSequence(SEED_ARRLIKE_FLOAT) # E: incompatible type
np.random.SeedSequence(SEED_SEED_SEQ) # E: incompatible type
np.random.SeedSequence(SEED_STR) # E: incompatible type
seed_seq: np.random.bit_generator.SeedSequence = np.random.SeedSequence()
seed_seq.spawn(11.5) # E: incompatible type
seed_seq.generate_state(3.14) # E: incompatible type
seed_seq.generate_state(3, np.uint8) # E: incompatible type
seed_seq.generate_state(3, "uint8") # E: incompatible type
seed_seq.generate_state(3, "u1") # E: incompatible type
seed_seq.generate_state(3, np.uint16) # E: incompatible type
seed_seq.generate_state(3, "uint16") # E: incompatible type
seed_seq.generate_state(3, "u2") # E: incompatible type
seed_seq.generate_state(3, np.int32) # E: incompatible type
seed_seq.generate_state(3, "int32") # E: incompatible type
seed_seq.generate_state(3, "i4") # E: incompatible type
# Bit Generators
np.random.MT19937(SEED_FLOAT) # E: incompatible type
np.random.MT19937(SEED_ARR_FLOAT) # E: incompatible type
np.random.MT19937(SEED_ARRLIKE_FLOAT) # E: incompatible type
np.random.MT19937(SEED_STR) # E: incompatible type
np.random.PCG64(SEED_FLOAT) # E: incompatible type
np.random.PCG64(SEED_ARR_FLOAT) # E: incompatible type
np.random.PCG64(SEED_ARRLIKE_FLOAT) # E: incompatible type
np.random.PCG64(SEED_STR) # E: incompatible type
np.random.Philox(SEED_FLOAT) # E: incompatible type
np.random.Philox(SEED_ARR_FLOAT) # E: incompatible type
np.random.Philox(SEED_ARRLIKE_FLOAT) # E: incompatible type
np.random.Philox(SEED_STR) # E: incompatible type
np.random.SFC64(SEED_FLOAT) # E: incompatible type
np.random.SFC64(SEED_ARR_FLOAT) # E: incompatible type
np.random.SFC64(SEED_ARRLIKE_FLOAT) # E: incompatible type
np.random.SFC64(SEED_STR) # E: incompatible type
# Generator
np.random.Generator(None) # E: incompatible type
np.random.Generator(12333283902830213) # E: incompatible type
np.random.Generator("OxFEEDF00D") # E: incompatible type
np.random.Generator([123, 234]) # E: incompatible type
np.random.Generator(np.array([123, 234], dtype="u4")) # E: incompatible type

17
lib/python3.13/site-packages/numpy/typing/tests/data/fail/rec.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_i8: npt.NDArray[np.int64]
np.rec.fromarrays(1) # E: No overload variant
np.rec.fromarrays([1, 2, 3], dtype=[("f8", "f8")], formats=["f8", "f8"]) # E: No overload variant
np.rec.fromrecords(AR_i8) # E: incompatible type
np.rec.fromrecords([(1.5,)], dtype=[("f8", "f8")], formats=["f8", "f8"]) # E: No overload variant
np.rec.fromstring("string", dtype=[("f8", "f8")]) # E: No overload variant
np.rec.fromstring(b"bytes") # E: No overload variant
np.rec.fromstring(b"(1.5,)", dtype=[("f8", "f8")], formats=["f8", "f8"]) # E: No overload variant
with open("test", "r") as f:
np.rec.fromfile(f, dtype=[("f8", "f8")]) # E: No overload variant

92
lib/python3.13/site-packages/numpy/typing/tests/data/fail/scalars.pyi Normal file
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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

6
lib/python3.13/site-packages/numpy/typing/tests/data/fail/shape.pyi Normal file
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from typing import Any
import numpy as np
# test bounds of _ShapeType_co
np.ndarray[tuple[str, str], Any] # E: Value of type variable

8
lib/python3.13/site-packages/numpy/typing/tests/data/fail/shape_base.pyi Normal file
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import numpy as np
class DTypeLike:
dtype: np.dtype[np.int_]
dtype_like: DTypeLike
np.expand_dims(dtype_like, (5, 10)) # E: No overload variant

9
lib/python3.13/site-packages/numpy/typing/tests/data/fail/stride_tricks.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_f8: npt.NDArray[np.float64]
np.lib.stride_tricks.as_strided(AR_f8, shape=8) # E: No overload variant
np.lib.stride_tricks.as_strided(AR_f8, strides=8) # E: No overload variant
np.lib.stride_tricks.sliding_window_view(AR_f8, axis=(1,)) # E: No overload variant

69
lib/python3.13/site-packages/numpy/typing/tests/data/fail/strings.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_U: npt.NDArray[np.str_]
AR_S: npt.NDArray[np.bytes_]
np.strings.equal(AR_U, AR_S) # E: incompatible type
np.strings.not_equal(AR_U, AR_S) # E: incompatible type
np.strings.greater_equal(AR_U, AR_S) # E: incompatible type
np.strings.less_equal(AR_U, AR_S) # E: incompatible type
np.strings.greater(AR_U, AR_S) # E: incompatible type
np.strings.less(AR_U, AR_S) # E: incompatible type
np.strings.encode(AR_S) # E: incompatible type
np.strings.decode(AR_U) # E: incompatible type
np.strings.join(AR_U, b"_") # E: incompatible type
np.strings.join(AR_S, "_") # E: incompatible type
np.strings.ljust(AR_U, 5, fillchar=b"a") # E: incompatible type
np.strings.ljust(AR_S, 5, fillchar="a") # E: incompatible type
np.strings.rjust(AR_U, 5, fillchar=b"a") # E: incompatible type
np.strings.rjust(AR_S, 5, fillchar="a") # E: incompatible type
np.strings.lstrip(AR_U, b"a") # E: incompatible type
np.strings.lstrip(AR_S, "a") # E: incompatible type
np.strings.strip(AR_U, b"a") # E: incompatible type
np.strings.strip(AR_S, "a") # E: incompatible type
np.strings.rstrip(AR_U, b"a") # E: incompatible type
np.strings.rstrip(AR_S, "a") # E: incompatible type
np.strings.partition(AR_U, b"a") # E: incompatible type
np.strings.partition(AR_S, "a") # E: incompatible type
np.strings.rpartition(AR_U, b"a") # E: incompatible type
np.strings.rpartition(AR_S, "a") # E: incompatible type
np.strings.split(AR_U, b"_") # E: incompatible type
np.strings.split(AR_S, "_") # E: incompatible type
np.strings.rsplit(AR_U, b"_") # E: incompatible type
np.strings.rsplit(AR_S, "_") # E: incompatible type
np.strings.count(AR_U, b"a", [1, 2, 3], [1, 2, 3]) # E: incompatible type
np.strings.count(AR_S, "a", 0, 9) # E: incompatible type
np.strings.endswith(AR_U, b"a", [1, 2, 3], [1, 2, 3]) # E: incompatible type
np.strings.endswith(AR_S, "a", 0, 9) # E: incompatible type
np.strings.startswith(AR_U, b"a", [1, 2, 3], [1, 2, 3]) # E: incompatible type
np.strings.startswith(AR_S, "a", 0, 9) # E: incompatible type
np.strings.find(AR_U, b"a", [1, 2, 3], [1, 2, 3]) # E: incompatible type
np.strings.find(AR_S, "a", 0, 9) # E: incompatible type
np.strings.rfind(AR_U, b"a", [1, 2, 3], [1, 2 , 3]) # E: incompatible type
np.strings.rfind(AR_S, "a", 0, 9) # E: incompatible type
np.strings.index(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.strings.index(AR_S, "a", end=9) # E: incompatible type
np.strings.rindex(AR_U, b"a", start=[1, 2, 3]) # E: incompatible type
np.strings.rindex(AR_S, "a", end=9) # E: incompatible type
np.strings.isdecimal(AR_S) # E: incompatible type
np.strings.isnumeric(AR_S) # E: incompatible type
np.strings.replace(AR_U, b"_", b"-", 10) # E: incompatible type
np.strings.replace(AR_S, "_", "-", 1) # E: incompatible type

28
lib/python3.13/site-packages/numpy/typing/tests/data/fail/testing.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_U: npt.NDArray[np.str_]
def func() -> bool: ...
np.testing.assert_(True, msg=1) # E: incompatible type
np.testing.build_err_msg(1, "test") # E: incompatible type
np.testing.assert_almost_equal(AR_U, AR_U) # E: incompatible type
np.testing.assert_approx_equal([1, 2, 3], [1, 2, 3]) # E: incompatible type
np.testing.assert_array_almost_equal(AR_U, AR_U) # E: incompatible type
np.testing.assert_array_less(AR_U, AR_U) # E: incompatible type
np.testing.assert_string_equal(b"a", b"a") # E: incompatible type
np.testing.assert_raises(expected_exception=TypeError, callable=func) # E: No overload variant
np.testing.assert_raises_regex(expected_exception=TypeError, expected_regex="T", callable=func) # E: No overload variant
np.testing.assert_allclose(AR_U, AR_U) # E: incompatible type
np.testing.assert_array_almost_equal_nulp(AR_U, AR_U) # E: incompatible type
np.testing.assert_array_max_ulp(AR_U, AR_U) # E: incompatible type
np.testing.assert_warns(warning_class=RuntimeWarning, func=func) # E: No overload variant
np.testing.assert_no_warnings(func=func) # E: No overload variant
np.testing.assert_no_warnings(func, None) # E: Too many arguments
np.testing.assert_no_warnings(func, test=None) # E: Unexpected keyword argument
np.testing.assert_no_gc_cycles(func=func) # E: No overload variant

37
lib/python3.13/site-packages/numpy/typing/tests/data/fail/twodim_base.pyi Normal file
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from typing import Any, TypeVar
import numpy as np
import numpy.typing as npt
def func1(ar: npt.NDArray[Any], a: int) -> npt.NDArray[np.str_]:
pass
def func2(ar: npt.NDArray[Any], a: float) -> float:
pass
AR_b: npt.NDArray[np.bool]
AR_m: npt.NDArray[np.timedelta64]
AR_LIKE_b: list[bool]
np.eye(10, M=20.0) # E: No overload variant
np.eye(10, k=2.5, dtype=int) # E: No overload variant
np.diag(AR_b, k=0.5) # E: No overload variant
np.diagflat(AR_b, k=0.5) # E: No overload variant
np.tri(10, M=20.0) # E: No overload variant
np.tri(10, k=2.5, dtype=int) # E: No overload variant
np.tril(AR_b, k=0.5) # E: No overload variant
np.triu(AR_b, k=0.5) # E: No overload variant
np.vander(AR_m) # E: incompatible type
np.histogram2d(AR_m) # E: No overload variant
np.mask_indices(10, func1) # E: incompatible type
np.mask_indices(10, func2, 10.5) # E: incompatible type

13
lib/python3.13/site-packages/numpy/typing/tests/data/fail/type_check.pyi Normal file
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import numpy as np
import numpy.typing as npt
DTYPE_i8: np.dtype[np.int64]
np.mintypecode(DTYPE_i8) # E: incompatible type
np.iscomplexobj(DTYPE_i8) # E: incompatible type
np.isrealobj(DTYPE_i8) # E: incompatible type
np.typename(DTYPE_i8) # E: No overload variant
np.typename("invalid") # E: No overload variant
np.common_type(np.timedelta64()) # E: incompatible type

21
lib/python3.13/site-packages/numpy/typing/tests/data/fail/ufunc_config.pyi Normal file
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"""Typing tests for `numpy._core._ufunc_config`."""
import numpy as np
def func1(a: str, b: int, c: float) -> None: ...
def func2(a: str, *, b: int) -> None: ...
class Write1:
def write1(self, a: str) -> None: ...
class Write2:
def write(self, a: str, b: str) -> None: ...
class Write3:
def write(self, *, a: str) -> None: ...
np.seterrcall(func1) # E: Argument 1 to "seterrcall" has incompatible type
np.seterrcall(func2) # E: Argument 1 to "seterrcall" has incompatible type
np.seterrcall(Write1()) # E: Argument 1 to "seterrcall" has incompatible type
np.seterrcall(Write2()) # E: Argument 1 to "seterrcall" has incompatible type
np.seterrcall(Write3()) # E: Argument 1 to "seterrcall" has incompatible type

21
lib/python3.13/site-packages/numpy/typing/tests/data/fail/ufunclike.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_c: npt.NDArray[np.complex128]
AR_m: npt.NDArray[np.timedelta64]
AR_M: npt.NDArray[np.datetime64]
AR_O: npt.NDArray[np.object_]
np.fix(AR_c) # E: incompatible type
np.fix(AR_m) # E: incompatible type
np.fix(AR_M) # E: incompatible type
np.isposinf(AR_c) # E: incompatible type
np.isposinf(AR_m) # E: incompatible type
np.isposinf(AR_M) # E: incompatible type
np.isposinf(AR_O) # E: incompatible type
np.isneginf(AR_c) # E: incompatible type
np.isneginf(AR_m) # E: incompatible type
np.isneginf(AR_M) # E: incompatible type
np.isneginf(AR_O) # E: incompatible type

17
lib/python3.13/site-packages/numpy/typing/tests/data/fail/ufuncs.pyi Normal file
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import numpy as np
import numpy.typing as npt
AR_f8: npt.NDArray[np.float64]
np.sin.nin + "foo" # E: Unsupported operand types
np.sin(1, foo="bar") # E: No overload variant
np.abs(None) # E: No overload variant
np.add(1, 1, 1) # E: No overload variant
np.add(1, 1, axis=0) # E: No overload variant
np.matmul(AR_f8, AR_f8, where=True) # E: No overload variant
np.frexp(AR_f8, out=None) # E: No overload variant
np.frexp(AR_f8, out=AR_f8) # E: No overload variant

5
lib/python3.13/site-packages/numpy/typing/tests/data/fail/warnings_and_errors.pyi Normal file
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import numpy.exceptions as ex
ex.AxisError(1.0) # E: No overload variant
ex.AxisError(1, ndim=2.0) # E: No overload variant
ex.AxisError(2, msg_prefix=404) # E: No overload variant