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Diffstat (limited to '.venv/lib/python3.12/site-packages/numpy/typing/tests/data/pass/fromnumeric.py')
| -rw-r--r-- | .venv/lib/python3.12/site-packages/numpy/typing/tests/data/pass/fromnumeric.py | 260 |
1 files changed, 260 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/numpy/typing/tests/data/pass/fromnumeric.py b/.venv/lib/python3.12/site-packages/numpy/typing/tests/data/pass/fromnumeric.py new file mode 100644 index 00000000..9e936e68 --- /dev/null +++ b/.venv/lib/python3.12/site-packages/numpy/typing/tests/data/pass/fromnumeric.py @@ -0,0 +1,260 @@ +"""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 +d = np.array(1.0, dtype=np.float32) # writeable + +np.take(a, 0) +np.take(b, 0) +np.take(c, 0) +np.take(A, 0) +np.take(B, 0) +np.take(A, [0]) +np.take(B, [0]) + +np.reshape(a, 1) +np.reshape(b, 1) +np.reshape(c, 1) +np.reshape(A, 1) +np.reshape(B, 1) + +np.choose(a, [True, True]) +np.choose(A, [1.0, 1.0]) + +np.repeat(a, 1) +np.repeat(b, 1) +np.repeat(c, 1) +np.repeat(A, 1) +np.repeat(B, 1) + +np.swapaxes(A, 0, 0) +np.swapaxes(B, 0, 0) + +np.transpose(a) +np.transpose(b) +np.transpose(c) +np.transpose(A) +np.transpose(B) + +np.partition(a, 0, axis=None) +np.partition(b, 0, axis=None) +np.partition(c, 0, axis=None) +np.partition(A, 0) +np.partition(B, 0) + +np.argpartition(a, 0) +np.argpartition(b, 0) +np.argpartition(c, 0) +np.argpartition(A, 0) +np.argpartition(B, 0) + +np.sort(A, 0) +np.sort(B, 0) + +np.argsort(A, 0) +np.argsort(B, 0) + +np.argmax(A) +np.argmax(B) +np.argmax(A, axis=0) +np.argmax(B, axis=0) + +np.argmin(A) +np.argmin(B) +np.argmin(A, axis=0) +np.argmin(B, axis=0) + +np.searchsorted(A[0], 0) +np.searchsorted(B[0], 0) +np.searchsorted(A[0], [0]) +np.searchsorted(B[0], [0]) + +np.resize(a, (5, 5)) +np.resize(b, (5, 5)) +np.resize(c, (5, 5)) +np.resize(A, (5, 5)) +np.resize(B, (5, 5)) + +np.squeeze(a) +np.squeeze(b) +np.squeeze(c) +np.squeeze(A) +np.squeeze(B) + +np.diagonal(A) +np.diagonal(B) + +np.trace(A) +np.trace(B) + +np.ravel(a) +np.ravel(b) +np.ravel(c) +np.ravel(A) +np.ravel(B) + +np.nonzero(A) +np.nonzero(B) + +np.shape(a) +np.shape(b) +np.shape(c) +np.shape(A) +np.shape(B) + +np.compress([True], a) +np.compress([True], b) +np.compress([True], c) +np.compress([True], A) +np.compress([True], B) + +np.clip(a, 0, 1.0) +np.clip(b, -1, 1) +np.clip(a, 0, None) +np.clip(b, None, 1) +np.clip(c, 0, 1) +np.clip(A, 0, 1) +np.clip(B, 0, 1) +np.clip(B, [0, 1], [1, 2]) + +np.sum(a) +np.sum(b) +np.sum(c) +np.sum(A) +np.sum(B) +np.sum(A, axis=0) +np.sum(B, axis=0) + +np.all(a) +np.all(b) +np.all(c) +np.all(A) +np.all(B) +np.all(A, axis=0) +np.all(B, axis=0) +np.all(A, keepdims=True) +np.all(B, keepdims=True) + +np.any(a) +np.any(b) +np.any(c) +np.any(A) +np.any(B) +np.any(A, axis=0) +np.any(B, axis=0) +np.any(A, keepdims=True) +np.any(B, keepdims=True) + +np.cumsum(a) +np.cumsum(b) +np.cumsum(c) +np.cumsum(A) +np.cumsum(B) + +np.ptp(b) +np.ptp(c) +np.ptp(B) +np.ptp(B, axis=0) +np.ptp(B, keepdims=True) + +np.amax(a) +np.amax(b) +np.amax(c) +np.amax(A) +np.amax(B) +np.amax(A, axis=0) +np.amax(B, axis=0) +np.amax(A, keepdims=True) +np.amax(B, keepdims=True) + +np.amin(a) +np.amin(b) +np.amin(c) +np.amin(A) +np.amin(B) +np.amin(A, axis=0) +np.amin(B, axis=0) +np.amin(A, keepdims=True) +np.amin(B, keepdims=True) + +np.prod(a) +np.prod(b) +np.prod(c) +np.prod(A) +np.prod(B) +np.prod(a, dtype=None) +np.prod(A, dtype=None) +np.prod(A, axis=0) +np.prod(B, axis=0) +np.prod(A, keepdims=True) +np.prod(B, keepdims=True) +np.prod(b, out=d) +np.prod(B, out=d) + +np.cumprod(a) +np.cumprod(b) +np.cumprod(c) +np.cumprod(A) +np.cumprod(B) + +np.ndim(a) +np.ndim(b) +np.ndim(c) +np.ndim(A) +np.ndim(B) + +np.size(a) +np.size(b) +np.size(c) +np.size(A) +np.size(B) + +np.around(a) +np.around(b) +np.around(c) +np.around(A) +np.around(B) + +np.mean(a) +np.mean(b) +np.mean(c) +np.mean(A) +np.mean(B) +np.mean(A, axis=0) +np.mean(B, axis=0) +np.mean(A, keepdims=True) +np.mean(B, keepdims=True) +np.mean(b, out=d) +np.mean(B, out=d) + +np.std(a) +np.std(b) +np.std(c) +np.std(A) +np.std(B) +np.std(A, axis=0) +np.std(B, axis=0) +np.std(A, keepdims=True) +np.std(B, keepdims=True) +np.std(b, out=d) +np.std(B, out=d) + +np.var(a) +np.var(b) +np.var(c) +np.var(A) +np.var(B) +np.var(A, axis=0) +np.var(B, axis=0) +np.var(A, keepdims=True) +np.var(B, keepdims=True) +np.var(b, out=d) +np.var(B, out=d) |