




"""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       lowerCAmelCase__       (			lowerCAmelCase_  ,			unittest.TestCase    ):


				"""simple docstring"""





				__UpperCAmelCase :     Tuple       =      BlenderbotSmallTokenizer
				__UpperCAmelCase :     List[Any]       =      False



				def       snake_case    (     self					:	List[Any]						):
						super().setUp()

						__lowercase				:		str												=				["__start__", "adapt", "act", "ap@@", "te", "__end__", "__unk__"]
						__lowercase				:		List[Any]												=				dict(zip(__A    ,   range(len(__A						)						)						)						)

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

						__lowercase				:		Union[str, Any]												=				os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES["vocab_file"]						)
						__lowercase				:		List[Any]												=				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       snake_case    (     self					:	Dict    ,   **lowercase__					:	Optional[int]						):
						kwargs.update(self.special_tokens_map						)
						return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname    ,   **__A						)



				def       snake_case    (     self					:	Dict    ,   lowercase__					:	str						):
						__lowercase				:		Any												=				"adapt act apte"
						__lowercase				:		List[str]												=				"adapt act apte"
						return input_text, output_text



				def       snake_case    (     self					:	Dict						):
						__lowercase				:		Tuple												=				BlenderbotSmallTokenizer(self.vocab_file    ,   self.merges_file    ,   **self.special_tokens_map						)
						__lowercase				:		Any												=				"adapt act apte"
						__lowercase				:		Optional[Any]												=				["adapt", "act", "ap@@", "te"]
						__lowercase				:		Any												=				tokenizer.tokenize(__A						)
						self.assertListEqual(__A    ,   __A						)

						__lowercase				:		Optional[int]												=				[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

						__lowercase				:		List[str]												=				[0, 1, 2, 3, 4, 5]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__A						)    ,   __A						)



				def       snake_case    (     self					:	Tuple						):
						__lowercase				:		List[Any]												=				BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
						assert tok("sam"						).input_ids == [1_3_8_4]
						__lowercase				:		Optional[Any]												=				"I am a small frog."
						__lowercase				:		Union[str, Any]												=				tok([src_text]    ,   padding=__A    ,   truncation=__A						)["input_ids"]
						__lowercase				:		List[str]												=				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       snake_case    (     self					:	Dict						):
						__lowercase				:		Tuple												=				BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
						__lowercase				:		Dict												=				"I am a small frog ."
						__lowercase				:		Any												=				"."
						__lowercase				:		Any												=				tok(__A						)["input_ids"]
						__lowercase				:		Optional[Any]												=				tok(__A						)["input_ids"]

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






"""simple docstring"""







from collections import deque

from .hash_table import HashTable




class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				def __init__(     self					:	Optional[int]    ,   *lowercase__					:	Any    ,   **lowercase__					:	Union[str, Any]						):
						super().__init__(*lowercase__    ,   **lowercase__						)



				def       snake_case    (     self					:	Any    ,   lowercase__					:	Dict    ,   lowercase__					:	Dict						):
						__lowercase				:		Dict												=				deque([]						) if self.values[key] is None else self.values[key]
						self.values[key].appendleft(lowercase__						)
						__lowercase				:		Union[str, Any]												=				self.values[key]



				def       snake_case    (     self					:	str						):
						return (
						    sum(self.charge_factor - len(lowercase__						) for slot in self.values						)
						    / self.size_table
						    * self.charge_factor
						)



				def       snake_case    (     self					:	Union[str, Any]    ,   lowercase__					:	List[str]    ,   lowercase__					:	str=None						):
						if not (
						    len(self.values[key]						) == self.charge_factor and self.values.count(lowercase__						) == 0
						):
								return key
						return super()._collision_resolution(lowercase__    ,   lowercase__						)
