
# 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 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE							):
 if name != "training_function" and name != "main":
  raise ValueError(F'''Incorrect function name passed: {name}, choose either \'main\' or \'training_function\''''							)
 lowercase					  =   [], False
 for line in lines:
  if not found_start and F'''def {name}''' in line:
   lowercase					  =   True
   good_lines.append(_SCREAMING_SNAKE_CASE							)
   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(_SCREAMING_SNAKE_CASE							)






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE							):
 return [line for line in lines if not line.lstrip().startswith('#'							) and line != "\n"]






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE = None							):
 with open(_SCREAMING_SNAKE_CASE			,							'r'							) as f:
  lowercase					  =   f.readlines()
 with open(os.path.abspath(os.path.join('examples'			,							'nlp_example.py'							)							)			,							'r'							) as f:
  lowercase					  =   f.readlines()
 with open(_SCREAMING_SNAKE_CASE			,							'r'							) as f:
  lowercase					  =   f.readlines()
 if secondary_filename is not None:
  with open(_SCREAMING_SNAKE_CASE			,							'r'							) as f:
   lowercase					  =   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:
  lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'main'							)							)
  lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'main'							)							)
  lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'main'							)							)
  if secondary_filename is not None:
   lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'main'							)							)
 else:
  lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'training_function'							)							)
  lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'training_function'							)							)
  lowercase					  =   clean_lines(get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'training_function'							)							)
  if secondary_filename is not None:
   lowercase					  =   clean_lines(
       get_function_contents_by_name(_SCREAMING_SNAKE_CASE			,							'training_function'							)							)

 lowercase					  =   "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
 lowercase					  =   []
 lowercase					  =   []  # We keep track of the idxs just in case it's a repeated statement
 lowercase					  =   iter(_SCREAMING_SNAKE_CASE							)
 for i in range(len(_SCREAMING_SNAKE_CASE							) - 1							):
  if i not in passed_idxs:
   lowercase					  =   next(_SCREAMING_SNAKE_CASE							)
   if (line not in full_file_func) and (line.lstrip() != _dl_line):
    if "TESTING_MOCKED_DATALOADERS" not in line:
     new_feature_code.append(_SCREAMING_SNAKE_CASE							)
     passed_idxs.append(_SCREAMING_SNAKE_CASE							)
    else:
     # Skip over the `config['num_epochs'] = 2` statement
     lowercase					  =   next(_SCREAMING_SNAKE_CASE							)

    # Extract out just the new parts from the full_file_training_func
 lowercase					  =   []
 lowercase					  =   []  # We keep track of the idxs just in case it's a repeated statement
 for i, line in enumerate(_SCREAMING_SNAKE_CASE							):
  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(_SCREAMING_SNAKE_CASE							)
     passed_idxs.append(_SCREAMING_SNAKE_CASE							)

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

 return diff_from_example



import unittest
from timeit import timeit






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE							):
	lowercase					  =   first_num if first_num >= second_num else second_num
	lowercase					  =   max_num
	while (common_mult % first_num > 0) or (common_mult % second_num > 0):
		common_mult += max_num
	return common_mult






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE							):
	return b if a == 0 else greatest_common_divisor(b % a			,							__SCREAMING_SNAKE_CASE							)






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE							):
	return first_num // greatest_common_divisor(__SCREAMING_SNAKE_CASE			,							__SCREAMING_SNAKE_CASE							) * second_num






def 							UpperCAmelCase_		(							):
	lowercase					  =   (
	    'from __main__ import least_common_multiple_slow, least_common_multiple_fast'
	)
	print(
	    'least_common_multiple_slow():'			,							timeit('least_common_multiple_slow(1000, 999)'			,							setup=__SCREAMING_SNAKE_CASE							)			,							)
	print(
	    'least_common_multiple_fast():'			,							timeit('least_common_multiple_fast(1000, 999)'			,							setup=__SCREAMING_SNAKE_CASE							)			,							)







class 	A_       (      unittest.TestCase       ):




	'''simple docstring'''


	_UpperCamelCase					:					Any										=	(
	    (10, 20),
	    (13, 15),
	    (4, 31),
	    (10, 42),
	    (43, 34),
	    (5, 12),
	    (12, 25),
	    (10, 25),
	    (6, 9),
	)
	_UpperCamelCase					:					int										=	(20, 195, 124, 210, 1462, 60, 300, 50, 18)





	def      SCREAMING_SNAKE_CASE__						(	self	):
		for i, (first_num, second_num) in enumerate(self.test_inputs	):
			lowercase					  =   least_common_multiple_slow(snake_case		,   snake_case	)
			lowercase					  =   least_common_multiple_fast(snake_case		,   snake_case	)
			with self.subTest(i=snake_case	):
				self.assertEqual(snake_case		,   self.expected_results[i]	)
				self.assertEqual(snake_case		,   self.expected_results[i]	)


if __name__ == "__main__":
	benchmark()
	unittest.main()

