diff options
Diffstat (limited to 'numpy/tests/typing/reveal/fromnumeric.py')
| -rw-r--r-- | numpy/tests/typing/reveal/fromnumeric.py | 205 |
1 files changed, 0 insertions, 205 deletions
diff --git a/numpy/tests/typing/reveal/fromnumeric.py b/numpy/tests/typing/reveal/fromnumeric.py deleted file mode 100644 index f5feb3f5f..000000000 --- a/numpy/tests/typing/reveal/fromnumeric.py +++ /dev/null @@ -1,205 +0,0 @@ -"""Tests for :mod:`numpy.core.fromnumeric`.""" - -import numpy as np - -A = np.array(True, ndmin=2, dtype=bool) -B = np.array(1.0, ndmin=2, dtype=np.float32) -A.setflags(write=False) -B.setflags(write=False) - -a = np.bool_(True) -b = np.float32(1.0) -c = 1.0 - -reveal_type(np.take(a, 0)) # E: numpy.bool_ -reveal_type(np.take(b, 0)) # E: numpy.float32 -reveal_type( - np.take(c, 0) # E: Union[numpy.generic, datetime.datetime, datetime.timedelta] -) -reveal_type( - np.take(A, 0) # E: Union[numpy.generic, datetime.datetime, datetime.timedelta] -) -reveal_type( - np.take(B, 0) # E: Union[numpy.generic, datetime.datetime, datetime.timedelta] -) -reveal_type( - np.take( # E: Union[Union[numpy.generic, datetime.datetime, datetime.timedelta], numpy.ndarray] - A, [0] - ) -) -reveal_type( - np.take( # E: Union[Union[numpy.generic, datetime.datetime, datetime.timedelta], numpy.ndarray] - B, [0] - ) -) - -reveal_type(np.reshape(a, 1)) # E: numpy.ndarray -reveal_type(np.reshape(b, 1)) # E: numpy.ndarray -reveal_type(np.reshape(c, 1)) # E: numpy.ndarray -reveal_type(np.reshape(A, 1)) # E: numpy.ndarray -reveal_type(np.reshape(B, 1)) # E: numpy.ndarray - -reveal_type(np.choose(a, [True, True])) # E: numpy.bool_ -reveal_type(np.choose(A, [True, True])) # E: numpy.ndarray - -reveal_type(np.repeat(a, 1)) # E: numpy.ndarray -reveal_type(np.repeat(b, 1)) # E: numpy.ndarray -reveal_type(np.repeat(c, 1)) # E: numpy.ndarray -reveal_type(np.repeat(A, 1)) # E: numpy.ndarray -reveal_type(np.repeat(B, 1)) # E: numpy.ndarray - -# TODO: Add tests for np.put() - -reveal_type(np.swapaxes(A, 0, 0)) # E: numpy.ndarray -reveal_type(np.swapaxes(B, 0, 0)) # E: numpy.ndarray - -reveal_type(np.transpose(a)) # E: numpy.ndarray -reveal_type(np.transpose(b)) # E: numpy.ndarray -reveal_type(np.transpose(c)) # E: numpy.ndarray -reveal_type(np.transpose(A)) # E: numpy.ndarray -reveal_type(np.transpose(B)) # E: numpy.ndarray - -reveal_type(np.partition(a, 0, axis=None)) # E: numpy.ndarray -reveal_type(np.partition(b, 0, axis=None)) # E: numpy.ndarray -reveal_type(np.partition(c, 0, axis=None)) # E: numpy.ndarray -reveal_type(np.partition(A, 0)) # E: numpy.ndarray -reveal_type(np.partition(B, 0)) # E: numpy.ndarray - -reveal_type(np.argpartition(a, 0)) # E: numpy.integer -reveal_type(np.argpartition(b, 0)) # E: numpy.integer -reveal_type(np.argpartition(c, 0)) # E: numpy.ndarray -reveal_type(np.argpartition(A, 0)) # E: numpy.ndarray -reveal_type(np.argpartition(B, 0)) # E: numpy.ndarray - -reveal_type(np.sort(A, 0)) # E: numpy.ndarray -reveal_type(np.sort(B, 0)) # E: numpy.ndarray - -reveal_type(np.argsort(A, 0)) # E: numpy.ndarray -reveal_type(np.argsort(B, 0)) # E: numpy.ndarray - -reveal_type(np.argmax(A)) # E: numpy.integer -reveal_type(np.argmax(B)) # E: numpy.integer -reveal_type(np.argmax(A, axis=0)) # E: Union[numpy.integer, numpy.ndarray] -reveal_type(np.argmax(B, axis=0)) # E: Union[numpy.integer, numpy.ndarray] - -reveal_type(np.argmin(A)) # E: numpy.integer -reveal_type(np.argmin(B)) # E: numpy.integer -reveal_type(np.argmin(A, axis=0)) # E: Union[numpy.integer, numpy.ndarray] -reveal_type(np.argmin(B, axis=0)) # E: Union[numpy.integer, numpy.ndarray] - -reveal_type(np.searchsorted(A[0], 0)) # E: numpy.integer -reveal_type(np.searchsorted(B[0], 0)) # E: numpy.integer -reveal_type(np.searchsorted(A[0], [0])) # E: numpy.ndarray -reveal_type(np.searchsorted(B[0], [0])) # E: numpy.ndarray - -reveal_type(np.resize(a, (5, 5))) # E: numpy.ndarray -reveal_type(np.resize(b, (5, 5))) # E: numpy.ndarray -reveal_type(np.resize(c, (5, 5))) # E: numpy.ndarray -reveal_type(np.resize(A, (5, 5))) # E: numpy.ndarray -reveal_type(np.resize(B, (5, 5))) # E: numpy.ndarray - -reveal_type(np.squeeze(a)) # E: numpy.bool_ -reveal_type(np.squeeze(b)) # E: numpy.float32 -reveal_type(np.squeeze(c)) # E: numpy.ndarray -reveal_type(np.squeeze(A)) # E: numpy.ndarray -reveal_type(np.squeeze(B)) # E: numpy.ndarray - -reveal_type(np.diagonal(A)) # E: numpy.ndarray -reveal_type(np.diagonal(B)) # E: numpy.ndarray - -reveal_type(np.trace(A)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.trace(B)) # E: Union[numpy.number, numpy.ndarray] - -reveal_type(np.ravel(a)) # E: numpy.ndarray -reveal_type(np.ravel(b)) # E: numpy.ndarray -reveal_type(np.ravel(c)) # E: numpy.ndarray -reveal_type(np.ravel(A)) # E: numpy.ndarray -reveal_type(np.ravel(B)) # E: numpy.ndarray - -reveal_type(np.nonzero(a)) # E: tuple[numpy.ndarray] -reveal_type(np.nonzero(b)) # E: tuple[numpy.ndarray] -reveal_type(np.nonzero(c)) # E: tuple[numpy.ndarray] -reveal_type(np.nonzero(A)) # E: tuple[numpy.ndarray] -reveal_type(np.nonzero(B)) # E: tuple[numpy.ndarray] - -reveal_type(np.shape(a)) # E: tuple[builtins.int] -reveal_type(np.shape(b)) # E: tuple[builtins.int] -reveal_type(np.shape(c)) # E: tuple[builtins.int] -reveal_type(np.shape(A)) # E: tuple[builtins.int] -reveal_type(np.shape(B)) # E: tuple[builtins.int] - -reveal_type(np.compress([True], a)) # E: numpy.ndarray -reveal_type(np.compress([True], b)) # E: numpy.ndarray -reveal_type(np.compress([True], c)) # E: numpy.ndarray -reveal_type(np.compress([True], A)) # E: numpy.ndarray -reveal_type(np.compress([True], B)) # E: numpy.ndarray - -reveal_type(np.clip(a, 0, 1.0)) # E: numpy.number -reveal_type(np.clip(b, -1, 1)) # E: numpy.float32 -reveal_type(np.clip(c, 0, 1)) # E: numpy.number -reveal_type(np.clip(A, 0, 1)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.clip(B, 0, 1)) # E: Union[numpy.number, numpy.ndarray] - -reveal_type(np.sum(a)) # E: numpy.number -reveal_type(np.sum(b)) # E: numpy.float32 -reveal_type(np.sum(c)) # E: numpy.number -reveal_type(np.sum(A)) # E: numpy.number -reveal_type(np.sum(B)) # E: numpy.number -reveal_type(np.sum(A, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.sum(B, axis=0)) # E: Union[numpy.number, numpy.ndarray] - -reveal_type(np.all(a)) # E: numpy.bool_ -reveal_type(np.all(b)) # E: numpy.bool_ -reveal_type(np.all(c)) # E: numpy.bool_ -reveal_type(np.all(A)) # E: numpy.bool_ -reveal_type(np.all(B)) # E: numpy.bool_ -reveal_type(np.all(A, axis=0)) # E: Union[numpy.bool_, numpy.ndarray] -reveal_type(np.all(B, axis=0)) # E: Union[numpy.bool_, numpy.ndarray] -reveal_type(np.all(A, keepdims=True)) # E: Union[numpy.bool_, numpy.ndarray] -reveal_type(np.all(B, keepdims=True)) # E: Union[numpy.bool_, numpy.ndarray] - -reveal_type(np.any(a)) # E: numpy.bool_ -reveal_type(np.any(b)) # E: numpy.bool_ -reveal_type(np.any(c)) # E: numpy.bool_ -reveal_type(np.any(A)) # E: numpy.bool_ -reveal_type(np.any(B)) # E: numpy.bool_ -reveal_type(np.any(A, axis=0)) # E: Union[numpy.bool_, numpy.ndarray] -reveal_type(np.any(B, axis=0)) # E: Union[numpy.bool_, numpy.ndarray] -reveal_type(np.any(A, keepdims=True)) # E: Union[numpy.bool_, numpy.ndarray] -reveal_type(np.any(B, keepdims=True)) # E: Union[numpy.bool_, numpy.ndarray] - -reveal_type(np.cumsum(a)) # E: numpy.ndarray -reveal_type(np.cumsum(b)) # E: numpy.ndarray -reveal_type(np.cumsum(c)) # E: numpy.ndarray -reveal_type(np.cumsum(A)) # E: numpy.ndarray -reveal_type(np.cumsum(B)) # E: numpy.ndarray - -reveal_type(np.ptp(a)) # E: numpy.number -reveal_type(np.ptp(b)) # E: numpy.float32 -reveal_type(np.ptp(c)) # E: numpy.number -reveal_type(np.ptp(A)) # E: numpy.number -reveal_type(np.ptp(B)) # E: numpy.number -reveal_type(np.ptp(A, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.ptp(B, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.ptp(A, keepdims=True)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.ptp(B, keepdims=True)) # E: Union[numpy.number, numpy.ndarray] - -reveal_type(np.amax(a)) # E: numpy.number -reveal_type(np.amax(b)) # E: numpy.float32 -reveal_type(np.amax(c)) # E: numpy.number -reveal_type(np.amax(A)) # E: numpy.number -reveal_type(np.amax(B)) # E: numpy.number -reveal_type(np.amax(A, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.amax(B, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.amax(A, keepdims=True)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.amax(B, keepdims=True)) # E: Union[numpy.number, numpy.ndarray] - -reveal_type(np.amin(a)) # E: numpy.number -reveal_type(np.amin(b)) # E: numpy.float32 -reveal_type(np.amin(c)) # E: numpy.number -reveal_type(np.amin(A)) # E: numpy.number -reveal_type(np.amin(B)) # E: numpy.number -reveal_type(np.amin(A, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.amin(B, axis=0)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.amin(A, keepdims=True)) # E: Union[numpy.number, numpy.ndarray] -reveal_type(np.amin(B, keepdims=True)) # E: Union[numpy.number, numpy.ndarray] |