


'''simple docstring'''
import argparse
from collections import defaultdict

import yaml


lowerCAmelCase   : List[str]             =				"""docs/source/en/_toctree.yml"""




def 	_A  (       A							)  ->				Any:
	lowercase						:		Optional[int]   					=		defaultdict(A							)
	for doc in model_doc:
		counts[doc["local"]] += 1
	lowercase						:		str   					=		[key for key, value in counts.items() if value > 1]

	lowercase						:		Dict   					=		[]
	for duplicate_key in duplicates:
		lowercase						:		List[Any]   					=		list({doc["title"] for doc in model_doc if doc["local"] == duplicate_key}							)
		if len(A							) > 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(A							,key=lambda A							: s["title"].lower()							)




def 	_A  (       A=False							)  ->				Optional[Any]:
	with open(A							,encoding="utf-8"							) as f:
		lowercase						:		str   					=		yaml.safe_load(f.read()							)

	# Get to the API doc
	lowercase						:		Optional[int]   					=		0
	while content[api_idx]["title"] != "API":
		api_idx += 1
	lowercase						:		str   					=		content[api_idx]["sections"]

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

	lowercase						:		Tuple   					=		api_doc[model_idx]["sections"]

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

		if old_modality_doc != new_modality_doc:
			lowercase						:		int   					=		True
			if overwrite:
				lowercase						:		List[Any]   					=		new_modality_doc

	if diff:
		if overwrite:
			lowercase						:		List[str]   					=		model_doc
			lowercase						:		Union[str, Any]   					=		api_doc
			with open(A							,"w"							,encoding="utf-8"							) as f:
				f.write(yaml.dump(A							,allow_unicode=A							)							)
		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   : Any             =				argparse.ArgumentParser()
					parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
					lowerCAmelCase   : Any             =				parser.parse_args()

					check_model_doc(args.fix_and_overwrite)






'''simple docstring'''
lowerCAmelCase   : List[str]             =				2_5_6
# Modulus to hash a string
lowerCAmelCase   : Tuple             =				1_0_0_0_0_0_3




def 	_A  (       A							,A							)  ->				bool:
	lowercase						:		List[Any]   					=		len(A							)
	lowercase						:		List[Any]   					=		len(A							)
	if p_len > t_len:
		return False

	lowercase						:		List[str]   					=		0
	lowercase						:		Dict   					=		0
	lowercase						:		Any   					=		1

	# Calculating the hash of pattern and substring of text
	for i in range(A							):
		lowercase						:		Optional[int]   					=		(ord(pattern[i]							) + p_hash * alphabet_size) % modulus
		lowercase						:		Any   					=		(ord(text[i]							) + text_hash * alphabet_size) % modulus
		if i == p_len - 1:
			continue
		lowercase						:		List[str]   					=		(modulus_power * alphabet_size) % modulus

	for i in range(0							,t_len - p_len + 1							):
		if text_hash == p_hash and text[i : i + p_len] == pattern:
			return True
		if i == t_len - p_len:
			continue
		# Calculate the https://en.wikipedia.org/wiki/Rolling_hash
		lowercase						:		Any   					=		(
		    (text_hash - ord(text[i]							) * modulus_power) * alphabet_size
		    + ord(text[i + p_len]							)
		) % modulus
	return False




def 	_A  (       )  ->				None:
	lowercase						:		Dict   					=		"abc1abc12"
	lowercase						:		Union[str, Any]   					=		"alskfjaldsabc1abc1abc12k23adsfabcabc"
	lowercase						:		Any   					=		"alskfjaldsk23adsfabcabc"
	assert rabin_karp(A							,A							) and not rabin_karp(A							,A							)

	# Test 2)
	lowercase						:		str   					=		"ABABX"
	lowercase						:		Union[str, Any]   					=		"ABABZABABYABABX"
	assert rabin_karp(A							,A							)

	# Test 3)
	lowercase						:		str   					=		"AAAB"
	lowercase						:		List[str]   					=		"ABAAAAAB"
	assert rabin_karp(A							,A							)

	# Test 4)
	lowercase						:		List[str]   					=		"abcdabcy"
	lowercase						:		str   					=		"abcxabcdabxabcdabcdabcy"
	assert rabin_karp(A							,A							)

	# Test 5)
	lowercase						:		int   					=		"Lü"
	lowercase						:		Optional[Any]   					=		"Lüsai"
	assert rabin_karp(A							,A							)
	lowercase						:		Tuple   					=		"Lue"
	assert not rabin_karp(A							,A							)
	print("Success."							)


if __name__ == "__main__":
					test_rabin_karp()


