add #type ignore

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():