





"""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      =							BlenderbotSmallTokenizer
					UpperCamelCase      =							False


					def 	lowerCamelCase       (					self			:int		):
												super().setUp()

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

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

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


					def 	lowerCamelCase       (					self			:Union[str, Any]     ,       **__UpperCamelCase			:List[str]		):
												kwargs.update(self.special_tokens_map		)
												return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname     ,       **__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Tuple     ,       __UpperCamelCase			:Any		):
												A		=  "adapt act apte"
												A		=  "adapt act apte"
												return input_text, output_text


					def 	lowerCamelCase       (					self			:str		):
												A		=  BlenderbotSmallTokenizer(self.vocab_file     ,       self.merges_file     ,       **self.special_tokens_map		)
												A		=  "adapt act apte"
												A		=  ["adapt", "act", "ap@@", "te"]
												A		=  tokenizer.tokenize(__UpperCamelCase		)
												self.assertListEqual(__UpperCamelCase     ,       __UpperCamelCase		)

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

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


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"		)
												assert tok("sam"		).input_ids == [13_84]
												A		=  "I am a small frog."
												A		=  tok([src_text]     ,       padding=__UpperCamelCase     ,       truncation=__UpperCamelCase		)["input_ids"]
												A		=  tok.batch_decode(__UpperCamelCase     ,       skip_special_tokens=__UpperCamelCase     ,       clean_up_tokenization_spaces=__UpperCamelCase		)[0]
												assert src_text != decoded  # I wish it did!
												assert decoded == "i am a small frog ."


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"		)
												A		=  "I am a small frog ."
												A		=  "."
												A		=  tok(__UpperCamelCase		)["input_ids"]
												A		=  tok(__UpperCamelCase		)["input_ids"]

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









"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class 					_UpperCAmelCase   :
					UpperCamelCase      =							None


					def 	lowerCamelCase       (					self			:List[Any]		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)
												A		=  json.loads(feat_extract.to_json_string()		)
												for key, value in self.feat_extract_dict.items():
																			self.assertEqual(obj[key]     ,       __UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

												with tempfile.TemporaryDirectory() as tmpdirname:
																			A		=  os.path.join(__UpperCamelCase     ,       "feat_extract.json"		)
																			feat_extract_first.to_json_file(__UpperCamelCase		)
																			A		=  self.feature_extraction_class.from_json_file(__UpperCamelCase		)

												self.assertEqual(feat_extract_second.to_dict()     ,       feat_extract_first.to_dict()		)


					def 	lowerCamelCase       (					self			:Dict		):
												A		=  self.feature_extraction_class(**self.feat_extract_dict		)

												with tempfile.TemporaryDirectory() as tmpdirname:
																			A		=  feat_extract_first.save_pretrained(__UpperCamelCase		)[0]
																			check_json_file_has_correct_format(__UpperCamelCase		)
																			A		=  self.feature_extraction_class.from_pretrained(__UpperCamelCase		)

												self.assertEqual(feat_extract_second.to_dict()     ,       feat_extract_first.to_dict()		)


					def 	lowerCamelCase       (					self			:Tuple		):
												A		=  self.feature_extraction_class()
												self.assertIsNotNone(__UpperCamelCase		)


