# 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__(    lowerCamelCase_				,						lowerCamelCase_	):



			"""simple docstring"""





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






def  UpperCAmelCase__(    lowerCamelCase_	):



			"""simple docstring"""





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







def  UpperCAmelCase__(    lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_				,						lowerCamelCase_ = None	):



			"""simple docstring"""





			with open(lowerCamelCase_				,						"r"	) as f:
						_snake_case														=   f.readlines()
			with open(os.path.abspath(os.path.join("examples"				,						"nlp_example.py"	)	)				,						"r"	) as f:
						_snake_case														=   f.readlines()
			with open(lowerCamelCase_				,						"r"	) as f:
						_snake_case														=   f.readlines()
			if secondary_filename is not None:
						with open(lowerCamelCase_				,						"r"	) as f:
									_snake_case														=   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:
						_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"main"	)	)
						_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"main"	)	)
						_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"main"	)	)
						if secondary_filename is not None:
									_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"main"	)	)
			else:
						_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"training_function"	)	)
						_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"training_function"	)	)
						_snake_case														=   clean_lines(get_function_contents_by_name(lowerCamelCase_				,						"training_function"	)	)
						if secondary_filename is not None:
									_snake_case														=   clean_lines(
									    get_function_contents_by_name(lowerCamelCase_				,						"training_function"	)	)

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

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

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

			return diff_from_example


def  UpperCAmelCase__(    lowerCamelCase_	):



			"""simple docstring"""





			_snake_case														=   len(lowerCamelCase_	)
			_snake_case														=   [0] * length
			_snake_case														=   [[False for i in range(lowerCamelCase_	)] for j in range(lowerCamelCase_	)]
			for i, c in enumerate(lowerCamelCase_	):
						_snake_case														=   i
						for j in range(i + 1	):
									if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
												_snake_case														=   True
												_snake_case														=   min(lowerCamelCase_				,						0 if j == 0 else (cut[j - 1] + 1)	)
						_snake_case														=   mincut
			return cut[length - 1]


if __name__ == "__main__":
			_SCREAMING_SNAKE_CASE:    Dict     						=							input('''Enter the string: ''').strip()
			_SCREAMING_SNAKE_CASE:    str     						=							find_minimum_partitions(s)
			print(F"Minimum number of partitions required for the '{s}' is {ans}")

