

'''simple docstring'''





from collections import Counter
from pathlib import Path
from typing import Optional, Tuple

import yaml


class  UpperCAmelCase (							yaml.SafeLoader    ):

		'''simple docstring'''






		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_		)  ->     Tuple:






							'''simple docstring'''



							lowerCamelCase_  				=      [self.constructed_objects[key_node] for key_node, _ in node.value]
							lowerCamelCase_  				=      [tuple(__lowerCAmelCase		) if isinstance(__lowerCAmelCase   ,			__lowerCAmelCase		) else key for key in keys]
							lowerCamelCase_  				=      Counter(__lowerCAmelCase		)
							lowerCamelCase_  				=      [key for key in counter if counter[key] > 1]
							if duplicate_keys:
												raise TypeError(f'''Got duplicate yaml keys: {duplicate_keys}'''		)






		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_   ,			SCREAMING_SNAKE_CASE_=False		)  ->     str:






							'''simple docstring'''



							lowerCamelCase_  				=      super().construct_mapping(__lowerCAmelCase   ,			deep=__lowerCAmelCase		)
							self._check_no_duplicates_on_constructed_node(__lowerCAmelCase		)
							return mapping







def   _UpperCamelCase	(		__UpperCamelCase	)       ->			Optional[int]:
					lowerCamelCase_  				=      list(readme_content.splitlines()	)
					if full_content and full_content[0] == "---" and "---" in full_content[1:]:
										lowerCamelCase_  				=      full_content[1:].index('---'	) + 1
										lowerCamelCase_  				=      '\n'.join(full_content[1:sep_idx]	)
										return yamlblock, "\n".join(full_content[sep_idx + 1 :]	)

					return None, "\n".join(__UpperCamelCase	)


class  UpperCAmelCase (							UpperCAmelCase__    ):

		'''simple docstring'''






		SCREAMING_SNAKE_CASE_           =					{'''train_eval_index'''}  # train-eval-index in the YAML metadata
		@classmethod
		def 			UpperCamelCase(					cls   ,			SCREAMING_SNAKE_CASE_		)  ->     Optional[int]:






							'''simple docstring'''



							with open(__lowerCAmelCase   ,			encoding='utf-8'		) as readme_file:
												lowerCamelCase_				,lowerCamelCase_  				=      _split_yaml_from_readme(readme_file.read()		)
							if yaml_string is not None:
												return cls.from_yaml_string(__lowerCAmelCase		)
							else:
												return cls()
		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_		)  ->     Tuple:






							'''simple docstring'''



							if path.exists():
												with open(__lowerCAmelCase   ,			encoding='utf-8'		) as readme_file:
																	lowerCamelCase_  				=      readme_file.read()
							else:
												lowerCamelCase_  				=      None
							lowerCamelCase_  				=      self._to_readme(__lowerCAmelCase		)
							with open(__lowerCAmelCase   ,			'w'   ,			encoding='utf-8'		) as readme_file:
												readme_file.write(__lowerCAmelCase		)
		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_ = None		)  ->     List[str]:






							'''simple docstring'''



							if readme_content is not None:
												lowerCamelCase_				,lowerCamelCase_  				=      _split_yaml_from_readme(__lowerCAmelCase		)
												lowerCamelCase_  				=      '---\n' + self.to_yaml_string() + '---\n' + content
							else:
												lowerCamelCase_  				=      '---\n' + self.to_yaml_string() + '---\n'
							return full_content
		@classmethod
		def 			UpperCamelCase(					cls   ,			SCREAMING_SNAKE_CASE_		)  ->     Optional[int]:






							'''simple docstring'''



							lowerCamelCase_  				=      yaml.load(__lowerCAmelCase   ,			Loader=_NoDuplicateSafeLoader		) or {}

							# Convert the YAML keys to DatasetMetadata fields
							lowerCamelCase_  				=      {
							    (key.replace('-'   ,			'_'		) if key.replace('-'   ,			'_'		) in cls._FIELDS_WITH_DASHES else key): value
							    for key, value in metadata_dict.items()
							}
							return cls(**__lowerCAmelCase		)






		def 			UpperCamelCase(					self		)  ->     int:






							'''simple docstring'''



							return yaml.safe_dump(
							    {
							        (key.replace('_'   ,			'-'		) if key in self._FIELDS_WITH_DASHES else key): value
							        for key, value in self.items()
							    }   ,			sort_keys=__lowerCAmelCase   ,			allow_unicode=__lowerCAmelCase   ,			encoding='utf-8'   ,			).decode('utf-8'		)

A_	= {
    "image-classification": [],
    "translation": [],
    "image-segmentation": [],
    "fill-mask": [],
    "automatic-speech-recognition": [],
    "token-classification": [],
    "sentence-similarity": [],
    "audio-classification": [],
    "question-answering": [],
    "summarization": [],
    "zero-shot-classification": [],
    "table-to-text": [],
    "feature-extraction": [],
    "other": [],
    "multiple-choice": [],
    "text-classification": [],
    "text-to-image": [],
    "text2text-generation": [],
    "zero-shot-image-classification": [],
    "tabular-classification": [],
    "tabular-regression": [],
    "image-to-image": [],
    "tabular-to-text": [],
    "unconditional-image-generation": [],
    "text-retrieval": [],
    "text-to-speech": [],
    "object-detection": [],
    "audio-to-audio": [],
    "text-generation": [],
    "conversational": [],
    "table-question-answering": [],
    "visual-question-answering": [],
    "image-to-text": [],
    "reinforcement-learning": [],
    "voice-activity-detection": [],
    "time-series-forecasting": [],
    "document-question-answering": [],
}


if __name__ == "__main__":
				from argparse import ArgumentParser

				A_	= ArgumentParser(usage="Validate the yaml metadata block of a README.md file.")
				ap.add_argument("readme_filepath")
				A_	= ap.parse_args()

				A_	= Path(args.readme_filepath)
				A_	= DatasetMetadata.from_readme(readme_filepath)
				print(dataset_metadata)
				dataset_metadata.to_readme(readme_filepath)









'''simple docstring'''


from __future__ import annotations

import math
def 						lowerCamelCase__   (				a    ,	a							):
						__snake_case						 =   u
						for i in range(1    ,	a							):
												__snake_case						 =   temp * (u - i)
						return temp
def 						lowerCamelCase__   (				):
						__snake_case						 =   int(input('enter the numbers of values: '							)							)
						__snake_case						 =   []
						for _ in range(a							):
												y.append([]							)
						for i in range(a							):
												for j in range(a							):
																		y[i].append(a							)
																		__snake_case						 =   0

						print('enter the values of parameters in a list: '							)
						__snake_case						 =   list(map(a    ,	input().split()							)							)

						print('enter the values of corresponding parameters: '							)
						for i in range(a							):
												__snake_case						 =   float(input()							)

						__snake_case						 =   int(input('enter the value to interpolate: '							)							)
						__snake_case						 =   (value - x[0]) / (x[1] - x[0])

						# for calculating forward difference table

						for i in range(1    ,	a							):
												for j in range(n - i							):
																		__snake_case						 =   y[j + 1][i - 1] - y[j][i - 1]

						__snake_case						 =   y[0][0]
						for i in range(1    ,	a							):
												summ += (ucal(a    ,	a							) * y[0][i]) / math.factorial(a							)

						print(f'the value at {value} is {summ}'							)


if __name__ == "__main__":
	main()

