python/flatbuffers/compat.py - master - auroraos/mirror_flatbuffers

python/flatbuffers/compat.py
91 строка2 KB
Derek Bailey
bulk code format fix (#8707)
24 сен 2025, 07:50
24 сен 2025, 07:50caf3b49
# Copyright 2016 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""A tiny version of `six` to help with backwards compability.

Also includes compatibility helpers for numpy.
"""

import sys

PY2 = sys.version_info[0] == 2
PY26 = sys.version_info[0:2] == (2, 6)
PY27 = sys.version_info[0:2] == (2, 7)
PY275 = sys.version_info[0:3] >= (2, 7, 5)
PY3 = sys.version_info[0] == 3
PY34 = sys.version_info[0:2] >= (3, 4)

if PY3:
  import importlib.machinery

  string_types = (str,)
  binary_types = (bytes, bytearray)
  range_func = range
  memoryview_type = memoryview
  struct_bool_decl = "?"
else:
  import imp

  string_types = (unicode,)
  if PY26 or PY27:
    binary_types = (str, bytearray)
  else:
    binary_types = (str,)
  range_func = xrange
  if PY26 or (PY27 and not PY275):
    memoryview_type = buffer
    struct_bool_decl = "<b"
  else:
    memoryview_type = memoryview
    struct_bool_decl = "?"

# Helper functions to facilitate making numpy optional instead of required


def import_numpy():
  """Returns the numpy module if it exists on the system,

  otherwise returns None.
  """
  if PY3:
    numpy_exists = importlib.machinery.PathFinder.find_spec("numpy") is not None
  else:
    try:
      imp.find_module("numpy")
      numpy_exists = True
    except ImportError:
      numpy_exists = False

  if numpy_exists:
    # We do this outside of try/except block in case numpy exists
    # but is not installed correctly. We do not want to catch an
    # incorrect installation which would manifest as an
    # ImportError.
    import numpy as np
  else:
    np = None

  return np


class NumpyRequiredForThisFeature(RuntimeError):
  """Error raised when user tries to use a feature that

  requires numpy without having numpy installed.
  """

  pass


# NOTE: Future Jython support may require code here (look at `six`).