



'''simple docstring'''




def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase      ,							_lowercase      ,							) ->     tuple[list[list[int]], list[list[str]]]:
							UpperCAmelCase	:						Tuple					=						list(_lowercase						)
							UpperCAmelCase	:						Optional[int]					=						list(_lowercase						)
							UpperCAmelCase	:						Dict					=						len(_lowercase						)
							UpperCAmelCase	:						str					=						len(_lowercase						)

							UpperCAmelCase	:						Union[str, Any]					=						[
							    [0 for _ in range(len_destination_seq + 1						)] for _ in range(len_source_seq + 1						)
							]
							UpperCAmelCase	:						Union[str, Any]					=						[
							    ["""0""" for _ in range(len_destination_seq + 1						)] for _ in range(len_source_seq + 1						)
							]

							for i in range(1      ,							len_source_seq + 1						):
														UpperCAmelCase	:						int					=						i * delete_cost
														UpperCAmelCase	:						str					=						F'''D{source_seq[i - 1]:c}'''

							for i in range(1      ,							len_destination_seq + 1						):
														UpperCAmelCase	:						str					=						i * insert_cost
														UpperCAmelCase	:						List[Any]					=						F'''I{destination_seq[i - 1]:c}'''

							for i in range(1      ,							len_source_seq + 1						):
														for j in range(1      ,							len_destination_seq + 1						):
																					if source_seq[i - 1] == destination_seq[j - 1]:
																												UpperCAmelCase	:						Union[str, Any]					=						costs[i - 1][j - 1] + copy_cost
																												UpperCAmelCase	:						str					=						F'''C{source_seq[i - 1]:c}'''
																					else:
																												UpperCAmelCase	:						Optional[Any]					=						costs[i - 1][j - 1] + replace_cost
																												UpperCAmelCase	:						List[Any]					=						F'''R{source_seq[i - 1]:c}''' + str(destination_seq[j - 1]						)

																					if costs[i - 1][j] + delete_cost < costs[i][j]:
																												UpperCAmelCase	:						Any					=						costs[i - 1][j] + delete_cost
																												UpperCAmelCase	:						Union[str, Any]					=						F'''D{source_seq[i - 1]:c}'''

																					if costs[i][j - 1] + insert_cost < costs[i][j]:
																												UpperCAmelCase	:						int					=						costs[i][j - 1] + insert_cost
																												UpperCAmelCase	:						List[Any]					=						F'''I{destination_seq[j - 1]:c}'''

							return costs, ops



def  __lowerCamelCase    (   _lowercase      ,							_lowercase      ,							_lowercase						) ->     list[str]:
							if i == 0 and j == 0:
														return []
							else:
														if ops[i][j][0] == "C" or ops[i][j][0] == "R":
																					UpperCAmelCase	:						Union[str, Any]					=						assemble_transformation(_lowercase      ,							i - 1      ,							j - 1						)
																					seq.append(ops[i][j]						)
																					return seq
														elif ops[i][j][0] == "D":
																					UpperCAmelCase	:						int					=						assemble_transformation(_lowercase      ,							i - 1      ,							_lowercase						)
																					seq.append(ops[i][j]						)
																					return seq
														else:
																					UpperCAmelCase	:						Dict					=						assemble_transformation(_lowercase      ,							_lowercase      ,							j - 1						)
																					seq.append(ops[i][j]						)
																					return seq


if __name__ == "__main__":
							a    , a  :     List[str]       =       compute_transform_tables("""Python""", """Algorithms""", -1, 1, 2, 2)

							a  :     Tuple       =       len(operations)
							a  :     str       =       len(operations[0])
							a  :     Optional[int]       =       assemble_transformation(operations, m - 1, n - 1)

							a  :     Dict       =       list("""Python""")
							a  :     List[str]       =       0
							a  :     int       =       0

							with open("""min_cost.txt""", """w""") as file:
														for op in sequence:
																					print("""""".join(string))

																					if op[0] == "C":
																												file.write("""%-16s""" % """Copy %c""" % op[1])
																												file.write("""\t\t\t""" + """""".join(string))
																												file.write("""\r\n""")

																												cost -= 1
																					elif op[0] == "R":
																												a  :     int       =       op[2]

																												file.write("""%-16s""" % ("""Replace %c""" % op[1] + """ with """ + str(op[2])))
																												file.write("""\t\t""" + """""".join(string))
																												file.write("""\r\n""")

																												cost += 1
																					elif op[0] == "D":
																												string.pop(i)

																												file.write("""%-16s""" % """Delete %c""" % op[1])
																												file.write("""\t\t\t""" + """""".join(string))
																												file.write("""\r\n""")

																												cost += 2
																					else:
																												string.insert(i, op[1])

																												file.write("""%-16s""" % """Insert %c""" % op[1])
																												file.write("""\t\t\t""" + """""".join(string))
																												file.write("""\r\n""")

																												cost += 2

																					i += 1

														print("""""".join(string))
														print("""Cost: """, cost)

														file.write("""\r\nMinimum cost: """ + str(cost))






'''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.
from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a  :     Optional[Any]       =       {
    """agents""": ["""Agent""", """AzureOpenAiAgent""", """HfAgent""", """LocalAgent""", """OpenAiAgent"""],
    """base""": ["""PipelineTool""", """RemoteTool""", """Tool""", """launch_gradio_demo""", """load_tool"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a  :     Dict       =       ["""DocumentQuestionAnsweringTool"""]
							a  :     List[str]       =       ["""ImageCaptioningTool"""]
							a  :     Tuple       =       ["""ImageQuestionAnsweringTool"""]
							a  :     Tuple       =       ["""ImageSegmentationTool"""]
							a  :     List[str]       =       ["""SpeechToTextTool"""]
							a  :     Dict       =       ["""TextClassificationTool"""]
							a  :     Union[str, Any]       =       ["""TextQuestionAnsweringTool"""]
							a  :     List[str]       =       ["""TextSummarizationTool"""]
							a  :     Optional[Any]       =       ["""TextToSpeechTool"""]
							a  :     str       =       ["""TranslationTool"""]

if TYPE_CHECKING:
							from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
							from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .document_question_answering import DocumentQuestionAnsweringTool
														from .image_captioning import ImageCaptioningTool
														from .image_question_answering import ImageQuestionAnsweringTool
														from .image_segmentation import ImageSegmentationTool
														from .speech_to_text import SpeechToTextTool
														from .text_classification import TextClassificationTool
														from .text_question_answering import TextQuestionAnsweringTool
														from .text_summarization import TextSummarizationTool
														from .text_to_speech import TextToSpeechTool
														from .translation import TranslationTool
else:
							import sys

							a  :     Dict       =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

