






"""simple docstring"""




# Copyright 2022 The HuggingFace Team. 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.
import os
from typing import List

def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__       ):



  '''simple docstring'''
  if name != "training_function" and name != "main":
    raise ValueError(F"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""       )
  _a   ,						_a						: Tuple    =			[], False
  for line in lines:
    if not found_start and F"""def {name}""" in line:
      _a						: Tuple    =			True
      good_lines.append(UpperCamelCase__       )
      continue
    if found_start:
      if name == "training_function" and "def main" in line:
        return good_lines
      if name == "main" and "if __name__" in line:
        return good_lines
      good_lines.append(UpperCamelCase__       )

def     lowerCAmelCase__  (  UpperCamelCase__       ):



  '''simple docstring'''
  return [line for line in lines if not line.lstrip().startswith("""#"""       ) and line != "\n"]



def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__  ,     UpperCamelCase__ = None       ):



  '''simple docstring'''
  with open(UpperCamelCase__  ,     """r"""       ) as f:
    _a						: Tuple    =			f.readlines()
  with open(os.path.abspath(os.path.join("""examples"""  ,     """nlp_example.py"""       )       )  ,     """r"""       ) as f:
    _a						: List[Any]    =			f.readlines()
  with open(UpperCamelCase__  ,     """r"""       ) as f:
    _a						: int    =			f.readlines()
  if secondary_filename is not None:
    with open(UpperCamelCase__  ,     """r"""       ) as f:
      _a						: List[str]    =			f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
  if parser_only:
    _a						: Any    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """main"""       )       )
    _a						: Union[str, Any]    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """main"""       )       )
    _a						: Optional[Any]    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """main"""       )       )
    if secondary_filename is not None:
      _a						: int    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """main"""       )       )
  else:
    _a						: int    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """training_function"""       )       )
    _a						: Any    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """training_function"""       )       )
    _a						: int    =			clean_lines(get_function_contents_by_name(UpperCamelCase__  ,     """training_function"""       )       )
    if secondary_filename is not None:
      _a						: Optional[Any]    =			clean_lines(
          get_function_contents_by_name(UpperCamelCase__  ,     """training_function"""       )       )

  _a						: int    =			"""train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n"""

  # Specific code in our script that differs from the full version, aka what is new
  _a						: Optional[int]    =			[]
  _a						: int    =			[]  # We keep track of the idxs just in case it's a repeated statement
  _a						: Any    =			iter(UpperCamelCase__       )
  for i in range(len(UpperCamelCase__       ) - 1       ):
    if i not in passed_idxs:
      _a						: List[Any]    =			next(UpperCamelCase__       )
      if (line not in full_file_func) and (line.lstrip() != _dl_line):
        if "TESTING_MOCKED_DATALOADERS" not in line:
          new_feature_code.append(UpperCamelCase__       )
          passed_idxs.append(UpperCamelCase__       )
        else:
          # Skip over the `config['num_epochs'] = 2` statement
          _a						: Any    =			next(UpperCamelCase__       )

    # Extract out just the new parts from the full_file_training_func
  _a						: Optional[Any]    =			[]
  _a						: Dict    =			[]  # We keep track of the idxs just in case it's a repeated statement
  for i, line in enumerate(UpperCamelCase__       ):
    if i not in passed_idxs:
      if (line not in full_file_func) and (line.lstrip() != _dl_line):
        if "TESTING_MOCKED_DATALOADERS" not in line:
          new_full_example_parts.append(UpperCamelCase__       )
          passed_idxs.append(UpperCamelCase__       )

    # Finally, get the overall diff
  _a						: str    =			[line for line in new_feature_code if line not in new_full_example_parts]
  if secondary_filename is not None:
    _a						: Optional[int]    =			[line for line in full_file_contents if line not in secondary_file_func]
    _a						: Dict    =			[line for line in diff_from_example if line not in diff_from_two]

  return diff_from_example









"""simple docstring"""




from __future__ import annotations

import sys

def     lowerCAmelCase__  (  UpperCamelCase__       ):



  '''simple docstring'''
  if n < 0:
    raise ValueError("""Negative arguments are not supported"""       )
  return _fib(UpperCamelCase__       )[0]

def     lowerCAmelCase__  (  UpperCamelCase__       ):



  '''simple docstring'''
  if n == 0:  # (F(0), F(1))
    return (0, 1)

  # F(2n) = F(n)[2F(n+1) − F(n)]
  # F(2n+1) = F(n+1)^2+F(n)^2
  _a   ,						_a						: Dict    =			_fib(n // 2       )
  _a						: Dict    =			a * (b * 2 - a)
  _a						: Optional[Any]    =			a * a + b * b
  return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
 _snake_case					   =     int(sys.argv[1])
 print(F'''fibonacci({n}) is {fibonacci(n)}''')

