





'''simple docstring'''

import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin

class       UpperCAmelCase (						_lowercase			,       unittest.TestCase  ):
		UpperCAmelCase					:	str 			=		BlenderbotSmallTokenizer
		UpperCAmelCase					:	Tuple 			=		False




		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> List[str]:
						super().setUp()

						lowercase         = ["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
						lowercase         = dict(zip(A__							,			range(len(A__				)				)				)				)

						lowercase         = ["#version: 0.2", "a p", "t e</w>", "ap t</w>", "a d", "ad apt</w>", "a c", "ac t</w>", ""]
						lowercase         = {"unk_token": "__unk__", "bos_token": "__start__", "eos_token": "__end__"}

						lowercase         = os.path.join(self.tmpdirname							,			VOCAB_FILES_NAMES["vocab_file"]				)
						lowercase         = os.path.join(self.tmpdirname							,			VOCAB_FILES_NAMES["merges_file"]				)
						with open(self.vocab_file							,			"w"							,			encoding="utf-8"				) as fp:
										fp.write(json.dumps(A__				) + "\n"				)
						with open(self.merges_file							,			"w"							,			encoding="utf-8"				) as fp:
										fp.write("\n".join(A__				)				)




		def 				UpperCAmelCase__   (self      :	List[str]							,			**A__      :	str				)					-> List[Any]:
						kwargs.update(self.special_tokens_map				)
						return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname							,			**A__				)




		def 				UpperCAmelCase__   (self      :	Tuple							,			A__      :	List[Any]				)					-> List[Any]:
						lowercase         = "adapt act apte"
						lowercase         = "adapt act apte"
						return input_text, output_text




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Optional[Any]:
						lowercase         = BlenderbotSmallTokenizer(self.vocab_file							,			self.merges_file							,			**self.special_tokens_map				)
						lowercase         = "adapt act apte"
						lowercase         = ["adapt", "act", "ap@@", "te"]
						lowercase         = tokenizer.tokenize(A__				)
						self.assertListEqual(A__							,			A__				)

						lowercase         = [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

						lowercase         = [0, 1, 2, 3, 4, 5]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(A__				)							,			A__				)




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Union[str, Any]:
						lowercase         = BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"				)
						assert tok("sam"				).input_ids == [1_3_8_4]
						lowercase         = "I am a small frog."
						lowercase         = tok([src_text]							,			padding=A__							,			truncation=A__				)["input_ids"]
						lowercase         = tok.batch_decode(A__							,			skip_special_tokens=A__							,			clean_up_tokenization_spaces=A__				)[0]
						assert src_text != decoded  # I wish it did!
						assert decoded == "i am a small frog ."





		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> List[str]:
						lowercase         = BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"				)
						lowercase         = "I am a small frog ."
						lowercase         = "."
						lowercase         = tok(A__				)["input_ids"]
						lowercase         = tok(A__				)["input_ids"]

						assert encoded[-1] == encoded_dot[0]











'''simple docstring'''

from __future__ import annotations

class       UpperCAmelCase :




		def __init__(self      :	Dict							,			A__      :	str							,			A__      :	str				)					-> str:
						lowercase   ,							lowercase         = text, pattern
						lowercase   ,							lowercase         = len(A__				), len(A__				)




		def 				UpperCAmelCase__   (self      :	Any							,			A__      :	str				)					-> int:

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




		def 				UpperCAmelCase__   (self      :	List[Any]							,			A__      :	int				)					-> int:

						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 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> list[int]:
						# searches pattern in text and returns index positions
						lowercase         = []
						for i in range(self.textLen - self.patLen + 1				):
										lowercase         = self.mismatch_in_text(A__				)
										if mismatch_index == -1:
														positions.append(A__				)
										else:
														lowercase         = self.match_in_pattern(self.text[mismatch_index]				)
														lowercase         = (
														    mismatch_index - match_index
														)  # shifting index lgtm [py/multiple-definition]
						return positions




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

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




