



'''simple docstring'''




def 							lowerCAmelCase_  (      _lowerCamelCase:  int   ):
		__SCREAMING_SNAKE_CASE			:						List[Any]       			=						[0] * len(SCREAMING_SNAKE_CASE__   )

		for i in range(1			, len(SCREAMING_SNAKE_CASE__   )   ):
				# use last results for better performance - dynamic programming
				__SCREAMING_SNAKE_CASE			:						int       			=						prefix_result[i - 1]
				while j > 0 and input_string[i] != input_string[j]:
						__SCREAMING_SNAKE_CASE			:						int       			=						prefix_result[j - 1]

				if input_string[i] == input_string[j]:
						j += 1
				__SCREAMING_SNAKE_CASE			:						str       			=						j

		return prefix_result


def 							lowerCAmelCase_  (      _lowerCamelCase:  Any   ):
		return max(prefix_function(SCREAMING_SNAKE_CASE__   )   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()

'''simple docstring'''
# Copyright 2023 The HuggingFace Inc. 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 re

from ..utils import cached_file


# docstyle-ignore
lowercase__						       =      "\nHuman: <<task>>\n\nAssistant: "


lowercase__						       =      "huggingface-tools/default-prompts"
lowercase__						       =      {"chat": "chat_prompt_template.txt", "run": "run_prompt_template.txt"}




def    _UpperCamelCase						(       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__ ,       SCREAMING_SNAKE_CASE__="run"			)  ->							Dict:


		'''simple docstring'''


		if prompt_or_repo_id is None:
				snake_case  :       Union[str, Any]     			=						DEFAULT_PROMPTS_REPO

		# prompt is considered a repo ID when it does not contain any kind of space
		if re.search('''\\s''' ,       SCREAMING_SNAKE_CASE__			) is not None:
				return prompt_or_repo_id

		snake_case  :       List[Any]     			=						cached_file(
		    SCREAMING_SNAKE_CASE__ ,       PROMPT_FILES[mode] ,       repo_type='''dataset''' ,       user_agent={'''agent''': agent_name}			)
		with open(SCREAMING_SNAKE_CASE__ ,       '''r''' ,       encoding='''utf-8'''			) as f:
				return f.read()


