add #type ignore

Author: syumeikoukyo

run-clang-format.py

@@ -49,7 +49,7 @@
 try:
     from subprocess import DEVNULL  # py3k
 except ImportError:
-    DEVNULL = open(os.devnull, "wb")
+    DEVNULL = open(os.devnull, "wb")  # type: ignore
 
 
 DEFAULT_EXTENSIONS = "c,h,C,H,cpp,hpp,cc,hh,c++,h++,cxx,hxx"
@@ -101,7 +101,8 @@ def list_files(files, recursive=False, extensions=None, exclude=None):
                         for x in dnames
                         if not fnmatch.fnmatch(os.path.join(dirpath, x), pattern)
                     ]
-                    fpaths = [x for x in fpaths if not fnmatch.fnmatch(x, pattern)]
+                    fpaths = [
+                        x for x in fpaths if not fnmatch.fnmatch(x, pattern)]
                 for f in fpaths:
                     ext = os.path.splitext(f)[1][1:]
                     if ext in extensions:
@@ -143,7 +144,8 @@ def run_clang_format_diff_wrapper(args, file):
     except DiffError:
         raise
     except Exception as e:
-        raise UnexpectedError("{}: {}: {}".format(file, e.__class__.__name__, e), e)
+        raise UnexpectedError("{}: {}: {}".format(
+            file, e.__class__.__name__, e), e)
 
 
 def run_clang_format_diff(args, file):
@@ -374,7 +376,8 @@ def main():
         pool = None
     else:
         pool = multiprocessing.Pool(njobs)
-        it = pool.imap_unordered(partial(run_clang_format_diff_wrapper, args), files)
+        it = pool.imap_unordered(
+            partial(run_clang_format_diff_wrapper, args), files)
     while True:
         try:
             outs, errs = next(it)

setup.py

@@ -3,9 +3,9 @@
 
 """The setup script."""
 
-from setuptools import setup, find_packages
-from setuptools.dist import Distribution
-from setuptools.command.install import install
+from setuptools import setup, find_packages  # type: ignore
+from setuptools.dist import Distribution  # type: ignore
+from setuptools.command.install import install  # type: ignore
 
 import os
 
@@ -22,9 +22,9 @@ def read(fname):
         return fp.read()
 
 
-requirements = []
+requirements = []  # type: ignore
 
-setup_requirements = []
+setup_requirements = []  # type: ignore
 
 
 setup(
@@ -50,7 +50,7 @@ def read(fname):
     keywords="pydp",
     name="python-dp",
     package_dir={"": "src"},
-    package_data={"pydp": ["_pydp.so", "_pydp.pyd"],},
+    package_data={"pydp": ["_pydp.so", "_pydp.pyd"], },
     packages=find_packages(where="src", exclude=["tests"]),
     setup_requires=setup_requirements,
     test_suite="tests",

tests/algorithms/test_bounded_mean.py

@@ -1,10 +1,10 @@
 import os
 import pytest
 from pydp.algorithms.laplacian import BoundedMean
-from pydp._pydp import Summary
+from pydp._pydp import Summary  # type: ignore
 
 
-expect_near = lambda expected, actual, tol: (
+def expect_near(expected, actual, tol): return (
     expected + tol >= actual and expected - tol <= actual
 )
 

tests/algorithms/test_distributions.py

@@ -1,9 +1,7 @@
 import pytest
-from pydp.distributions import (
-    LaplaceDistribution,
-    GaussianDistribution,
-    GeometricDistribution,
-)
+from pydp.distributions import LaplaceDistribution  # type: ignore
+from pydp.distributions import GaussianDistribution  # type: ignore
+from pydp.distributions import GeometricDistribution  # type: ignore
 import pydp as dp
 import math
 from typing import List
@@ -24,7 +22,8 @@ def skew(samples: List[float], mu: float, sigma: float):
        Until then this should suffice. #FIXME: when possible we can fix this.
     """
     skew = list(
-        accumulate(samples, lambda lhs, rhs: lhs + (rhs - mu) * (rhs - mu) * (rhs - mu))
+        accumulate(samples, lambda lhs, rhs: lhs +
+                   (rhs - mu) * (rhs - mu) * (rhs - mu))
     )[-1]
     return skew / (len(samples) * sigma * sigma * sigma)
 
@@ -36,7 +35,8 @@ def kurtosis(samples: List[float], mu: float, var: float):
        Until then this should suffice. #FIXME: when possible we can fix this.
     """
     kurt = list(
-        accumulate(samples, lambda lhs, rhs: lhs + ((rhs - mu) * (rhs - mu)) ** 2)
+        accumulate(samples, lambda lhs, rhs: lhs +
+                   ((rhs - mu) * (rhs - mu)) ** 2)
     )[-1]
     n = len(samples)
     kurt = (n + 1) * kurt / (n * var * var)
@@ -48,7 +48,7 @@ def kurtosis(samples: List[float], mu: float, var: float):
 # From what I understand @openmined/dp-research are going to look at validating correctness
 # Until then we can use this to assert on floating point numbers.
 # FIXME: When possible we should add 'correctness' tests.
-expect_near = lambda expected, actual, tol: (
+def expect_near(expected, actual, tol): return (
     expected + tol >= actual and expected - tol <= actual
 )
 
@@ -62,7 +62,8 @@ def test_diversity_getter(self):
     def test_check_statistics_for_geo_unit_values(self):
 
         ld = LaplaceDistribution(epsilon=1.0, sensitivity=1.0)
-        samples = [ld.sample(scale=1.0) for _ in range(k_num_geometric_samples)]
+        samples = [ld.sample(scale=1.0)
+                   for _ in range(k_num_geometric_samples)]
         mean = dp.util.mean(samples)
         var = dp.util.variance(samples)
 

tests/algorithms/test_rand.py

@@ -1,5 +1,5 @@
 import pytest
-from pydp.util import Geometric, UniformDouble
+from pydp.util import Geometric, UniformDouble  # type: ignore
 
 
 def test_rand_UniformDouble():