

from argparse import ArgumentParser

from . import BaseTransformersCLICommand



def       __lowerCAmelCase      (						A    ):
	return DownloadCommand(args.model       ,     args.cache_dir       ,     args.force       ,     args.trust_remote_code    )




class 						__UpperCamelCase    (					lowercase						):




	@staticmethod
	def       __A					(		lowerCAmelCase	:						ArgumentParser							):


		'''simple docstring'''







		UpperCAmelCase_       				=			parser.add_parser("download"							)
		download_parser.add_argument(
		    "--cache-dir"		,	type=lowerCAmelCase		,	default=lowerCAmelCase		,	help="Path to location to store the models"							)
		download_parser.add_argument(
		    "--force"		,	action="store_true"		,	help="Force the model to be download even if already in cache-dir"							)
		download_parser.add_argument(
		    "--trust-remote-code"		,	action="store_true"		,	help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"		,	)
		download_parser.add_argument("model"		,	type=lowerCAmelCase		,	help="Name of the model to download"							)
		download_parser.set_defaults(func=lowerCAmelCase							)




	def __init__(		self	:						Optional[Any]		,	lowerCAmelCase	:						str		,	lowerCAmelCase	:						str		,	lowerCAmelCase	:						bool		,	lowerCAmelCase	:						bool							):


		'''simple docstring'''







		UpperCAmelCase_       				=			model
		UpperCAmelCase_       				=			cache
		UpperCAmelCase_       				=			force
		UpperCAmelCase_       				=			trust_remote_code




	def       __A					(		self	:						Dict							):


		'''simple docstring'''







		from ..models.auto import AutoModel, AutoTokenizer

		AutoModel.from_pretrained(
		    self._model		,	cache_dir=self._cache		,	force_download=self._force		,	trust_remote_code=self._trust_remote_code							)
		AutoTokenizer.from_pretrained(
		    self._model		,	cache_dir=self._cache		,	force_download=self._force		,	trust_remote_code=self._trust_remote_code							)


from __future__ import annotations

class 						__UpperCamelCase    :




	def __init__(		self	:						Optional[Any]		,	lowerCAmelCase	:						str		,	lowerCAmelCase	:						str							):


		'''simple docstring'''







		UpperCAmelCase_				,   UpperCAmelCase_       				=			text, pattern
		UpperCAmelCase_				,   UpperCAmelCase_       				=			len(lowerCAmelCase							), len(lowerCAmelCase							)




	def       __A					(		self	:						List[str]		,	lowerCAmelCase	:						str							):


		'''simple docstring'''







		for i in range(self.patLen - 1		,	-1		,	-1							):
			if char == self.pattern[i]:
				return i
		return -1




	def       __A					(		self	:						int		,	lowerCAmelCase	:						int							):


		'''simple docstring'''







		for i in range(self.patLen - 1		,	-1		,	-1							):
			if self.pattern[i] != self.text[current_pos + i]:
				return current_pos + i
		return -1




	def       __A					(		self	:						str							):


		'''simple docstring'''







		UpperCAmelCase_       				=			[]
		for i in range(self.textLen - self.patLen + 1							):
			UpperCAmelCase_       				=			self.mismatch_in_text(lowerCAmelCase							)
			if mismatch_index == -1:
				positions.append(lowerCAmelCase							)
			else:
				UpperCAmelCase_       				=			self.match_in_pattern(self.text[mismatch_index]							)
				UpperCAmelCase_       				=			(
				    mismatch_index - match_index
				)  # shifting index lgtm [py/multiple-definition]
		return positions


_a:    Dict 							=			"""ABAABA"""
_a:    Union[str, Any] 							=			"""AB"""
_a:    str 							=			BoyerMooreSearch(text, pattern)
_a:    Dict 							=			bms.bad_character_heuristic()

if len(positions) == 0:
				print("""No match found""")
else:
				print("""Pattern found in following positions: """)
				print(positions)