summaryrefslogtreecommitdiff
path: root/numpy/tests/reveal/scalars.py
diff options
context:
space:
mode:
authorJosh Wilson <person142@users.noreply.github.com>2020-06-06 15:31:33 -0700
committerJosh Wilson <person142@users.noreply.github.com>2020-06-06 15:31:33 -0700
commit11b95d15f10c2bc652ed19d5e27efa0384396cb8 (patch)
tree8d6f2020f6982fc9f2389796daca1429387f576e /numpy/tests/reveal/scalars.py
parenta5d021a1b6f439a19812926bc4d796ef5f346c44 (diff)
downloadnumpy-11b95d15f10c2bc652ed19d5e27efa0384396cb8.tar.gz
ENH: add type stubs from numpy-stubs
Add the type stubs and tests from numpy-stubs. Things this entails: - Copy over the stubs (numpy/__init__.pyi and numpy/core/_internal.pyi) - The only modification made was removing `ndarray.tostring` since it is deprecated - Update some setup.py files to include pyi files - Move the tests from numpy-stubs/tests into numpy/tests - Skip them if mypy is not installed (planning on setting up CI in a future PR) - Add a mypy.ini; use it to configure mypy in the tests - It tells mypy where to find NumPy in the test env - It ignores internal NumPy type errors (since we only want to consider errors from the tests cases) - Some small edits were made to fix test cases that were emitting deprecation warnings - Add numpy/py.typed so that the types are picked up in an installed version of NumPy
Diffstat (limited to 'numpy/tests/reveal/scalars.py')
-rw-r--r--numpy/tests/reveal/scalars.py30
1 files changed, 30 insertions, 0 deletions
diff --git a/numpy/tests/reveal/scalars.py b/numpy/tests/reveal/scalars.py
new file mode 100644
index 000000000..8a9555fc3
--- /dev/null
+++ b/numpy/tests/reveal/scalars.py
@@ -0,0 +1,30 @@
+import numpy as np
+
+x = np.complex64(3 + 2j)
+
+reveal_type(x.real) # E: numpy.float32
+reveal_type(x.imag) # E: numpy.float32
+
+reveal_type(x.real.real) # E: numpy.float32
+reveal_type(x.real.imag) # E: numpy.float32
+
+reveal_type(x.itemsize) # E: int
+reveal_type(x.shape) # E: tuple[builtins.int]
+reveal_type(x.strides) # E: tuple[builtins.int]
+
+# Time structures
+dt = np.datetime64(0, "D")
+td = np.timedelta64(0, "D")
+
+reveal_type(dt + td) # E: numpy.datetime64
+reveal_type(dt + 1) # E: numpy.datetime64
+reveal_type(dt - dt) # E: numpy.timedelta64
+reveal_type(dt - 1) # E: numpy.timedelta64
+
+reveal_type(td + td) # E: numpy.timedelta64
+reveal_type(td + 1) # E: numpy.timedelta64
+reveal_type(td - td) # E: numpy.timedelta64
+reveal_type(td - 1) # E: numpy.timedelta64
+reveal_type(td / 1.0) # E: numpy.timedelta64
+reveal_type(td / td) # E: float
+reveal_type(td % td) # E: numpy.timedelta64