

import argparse
from collections import defaultdict

import yaml


lowerCAmelCase							:  Any            =						"""docs/source/en/_toctree.yml"""







def       A_				(   _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			str  		=	defaultdict(_UpperCAmelCase   )
						for doc in model_doc:
												counts[doc["local"]] += 1
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	[key for key, value in counts.items() if value > 1]

						SCREAMING_SNAKE_CASE_:			List[Any]  		=	[]
						for duplicate_key in duplicates:
												SCREAMING_SNAKE_CASE_:			Dict  		=	list({doc["title"] for doc in model_doc if doc["local"] == duplicate_key}   )
												if len(_UpperCAmelCase   ) > 1:
																		raise ValueError(
																		    f"{duplicate_key} is present several times in the documentation table of content at "
																		    "`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the "
																		    "others."   )
												# Only add this once
												new_doc.append({"local": duplicate_key, "title": titles[0]}   )

						# Add none duplicate-keys
						new_doc.extend([doc for doc in model_doc if counts[doc["local"]] == 1]   )

						# Sort
						return sorted(_UpperCAmelCase    ,     key=lambda _UpperCAmelCase   : s["title"].lower()   )







def       A_				(   _UpperCAmelCase=False   ):
						with open(_UpperCAmelCase    ,     encoding="utf-8"   ) as f:
												SCREAMING_SNAKE_CASE_:			int  		=	yaml.safe_load(f.read()   )

						# Get to the API doc
						SCREAMING_SNAKE_CASE_:			Tuple  		=	0
						while content[api_idx]["title"] != "API":
												api_idx += 1
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	content[api_idx]["sections"]

						# Then to the model doc
						SCREAMING_SNAKE_CASE_:			Optional[int]  		=	0
						while api_doc[model_idx]["title"] != "Models":
												model_idx += 1

						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	api_doc[model_idx]["sections"]

						SCREAMING_SNAKE_CASE_:			Optional[int]  		=	[(idx, section) for idx, section in enumerate(_UpperCAmelCase   ) if "sections" in section]
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	False
						for idx, modality_doc in modalities_docs:
												SCREAMING_SNAKE_CASE_:			List[str]  		=	modality_doc["sections"]
												SCREAMING_SNAKE_CASE_:			List[Any]  		=	clean_model_doc_toc(_UpperCAmelCase   )

												if old_modality_doc != new_modality_doc:
																		SCREAMING_SNAKE_CASE_:			Optional[int]  		=	True
																		if overwrite:
																								SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	new_modality_doc

						if diff:
												if overwrite:
																		SCREAMING_SNAKE_CASE_:			str  		=	model_doc
																		SCREAMING_SNAKE_CASE_:			str  		=	api_doc
																		with open(_UpperCAmelCase    ,     "w"    ,     encoding="utf-8"   ) as f:
																								f.write(yaml.dump(_UpperCAmelCase    ,     allow_unicode=_UpperCAmelCase   )   )
												else:
																		raise ValueError(
																		    "The model doc part of the table of content is not properly sorted, run `make style` to fix this."   )


if __name__ == "__main__":
						lowerCAmelCase							:  Optional[int]            =						argparse.ArgumentParser()
						parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
						lowerCAmelCase							:  List[str]            =						parser.parse_args()

						check_model_doc(args.fix_and_overwrite)









import os

# Precomputes a list of the 100 first triangular numbers
lowerCAmelCase							:  Optional[int]            =						[int(0.5 * n * (n + 1)) for n in range(1, 101)]







def       A_				(   ):
						SCREAMING_SNAKE_CASE_:			List[str]  		=	os.path.dirname(os.path.realpath(_UpperCAmelCase   )   )
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	os.path.join(_UpperCAmelCase    ,     "words.txt"   )

						SCREAMING_SNAKE_CASE_:			Dict  		=	""
						with open(_UpperCAmelCase   ) as f:
												SCREAMING_SNAKE_CASE_:			int  		=	f.readline()

						SCREAMING_SNAKE_CASE_:			Optional[int]  		=	[word.strip("\""   ) for word in words.strip("\r\n"   ).split(","   )]
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	[
						    word
						    for word in [sum(ord(_UpperCAmelCase   ) - 64 for x in word   ) for word in words]
						    if word in TRIANGULAR_NUMBERS
						]
						return len(_UpperCAmelCase   )


if __name__ == "__main__":
						print(solution())






