Merge pull request #873 from hippo91/bug_pylint_3856

Bug pylint 3856

5 files changed, 12 insertions, 1 deletions

diff --git a/ChangeLog b/ChangeLog
index 122a9eeb..6c342688 100644
--- a/ChangeLog
+++ b/ChangeLog
@@ -7,6 +7,10 @@ What's New in astroid 2.5.0?
 ============================
 Release Date: TBA
 
+* Adds `degrees`, `radians`, which are `numpy ufunc` functions, in the `numpy` brain. Adds `random` function in the `numpy.random` brain.
+
+  Fixes PyCQA/pylint#3856
+
 * Fix deprecated importlib methods
 
   Closes #703
diff --git a/astroid/brain/brain_numpy_core_umath.py b/astroid/brain/brain_numpy_core_umath.py
index e878a313..1955e80e 100644
--- a/astroid/brain/brain_numpy_core_umath.py
+++ b/astroid/brain/brain_numpy_core_umath.py
@@ -4,7 +4,8 @@
 # Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
 # For details: https://github.com/PyCQA/astroid/blob/master/COPYING.LESSER
 
-
+#  Note: starting with version 1.18 numpy module has `__getattr__` method which prevent `pylint` to emit `no-member` message for
+#  all numpy's attributes. (see pylint's module typecheck in `_emit_no_member` function)
 """Astroid hooks for numpy.core.umath module."""
 
 import astroid
@@ -77,6 +78,7 @@ def numpy_core_umath_transform():
     conjugate = FakeUfuncOneArg()
     cosh = FakeUfuncOneArg()
     deg2rad = FakeUfuncOneArg()
+    degrees = FakeUfuncOneArg()
     exp2 = FakeUfuncOneArg()
     expm1 = FakeUfuncOneArg()
     fabs = FakeUfuncOneArg()
@@ -91,6 +93,7 @@ def numpy_core_umath_transform():
     negative = FakeUfuncOneArg()
     positive = FakeUfuncOneArg()
     rad2deg = FakeUfuncOneArg()
+    radians = FakeUfuncOneArg()
     reciprocal = FakeUfuncOneArg()
     rint = FakeUfuncOneArg()
     sign = FakeUfuncOneArg()
diff --git a/astroid/brain/brain_numpy_random_mtrand.py b/astroid/brain/brain_numpy_random_mtrand.py
index 372cb73d..70d11ea4 100644
--- a/astroid/brain/brain_numpy_random_mtrand.py
+++ b/astroid/brain/brain_numpy_random_mtrand.py
@@ -45,6 +45,7 @@ def numpy_random_mtrand_transform():
         import numpy
         return numpy.ndarray((1,1))
     def randn(*args): return uninferable
+    def random(size=None): return uninferable
     def random_integers(low, high=None, size=None): return uninferable
     def random_sample(size=None): return uninferable
     def rayleigh(scale=1.0, size=None): return uninferable
diff --git a/tests/unittest_brain_numpy_core_umath.py b/tests/unittest_brain_numpy_core_umath.py
index f939bc83..2d2abdbe 100644
--- a/tests/unittest_brain_numpy_core_umath.py
+++ b/tests/unittest_brain_numpy_core_umath.py
@@ -37,6 +37,7 @@ class NumpyBrainCoreUmathTest(unittest.TestCase):
         "conjugate",
         "cosh",
         "deg2rad",
+        "degrees",
         "exp2",
         "expm1",
         "fabs",
@@ -51,6 +52,7 @@ class NumpyBrainCoreUmathTest(unittest.TestCase):
         "negative",
         "positive",
         "rad2deg",
+        "radians",
         "reciprocal",
         "rint",
         "sign",
diff --git a/tests/unittest_brain_numpy_random_mtrand.py b/tests/unittest_brain_numpy_random_mtrand.py
index 05b10a82..ec2bfcf7 100644
--- a/tests/unittest_brain_numpy_random_mtrand.py
+++ b/tests/unittest_brain_numpy_random_mtrand.py
@@ -56,6 +56,7 @@ class NumpyBrainRandomMtrandTest(unittest.TestCase):
         "rand": (["args"], []),
         "randint": (["low", "high", "size", "dtype"], [None, None, "l"]),
         "randn": (["args"], []),
+        "random": (["size"], [None]),
         "random_integers": (["low", "high", "size"], [None, None]),
         "random_sample": (["size"], [None]),
         "rayleigh": (["scale", "size"], [1.0, None]),