






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      (a_				,		unittest.TestCase      ):
      snake_case_	=				BlenderbotSmallTokenizer
      snake_case_	=				False


      def 			__UpperCAmelCase		(						self						)->						Optional[int]:
           super().setUp()

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

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

           __lowerCAmelCase             =       os.path.join(self.tmpdirname       ,    VOCAB_FILES_NAMES["vocab_file"]						)
           __lowerCAmelCase             =       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 			__UpperCAmelCase		(						self       ,    **__UpperCamelCase						)->						Any:
           kwargs.update(self.special_tokens_map						)
           return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname       ,    **__UpperCamelCase						)


      def 			__UpperCAmelCase		(						self       ,    __UpperCamelCase						)->						Dict:
           __lowerCAmelCase             =       "adapt act apte"
           __lowerCAmelCase             =       "adapt act apte"
           return input_text, output_text


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

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

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


      def 			__UpperCAmelCase		(						self						)->						Tuple:
           __lowerCAmelCase             =       BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
           assert tok("sam"						).input_ids == [1_3_8_4]
           __lowerCAmelCase             =       "I am a small frog."
           __lowerCAmelCase             =       tok([src_text]       ,    padding=__UpperCamelCase       ,    truncation=__UpperCamelCase						)["input_ids"]
           __lowerCAmelCase             =       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 			__UpperCAmelCase		(						self						)->						List[Any]:
           __lowerCAmelCase             =       BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"						)
           __lowerCAmelCase             =       "I am a small frog ."
           __lowerCAmelCase             =       "."
           __lowerCAmelCase             =       tok(__UpperCamelCase						)["input_ids"]
           __lowerCAmelCase             =       tok(__UpperCamelCase						)["input_ids"]

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














from math import pow, sqrt





def    __lowerCAmelCase   (    *__snake_case							):
     __lowerCAmelCase             =       len(__snake_case							) > 0 and all(value > 0.0 for value in values							)
     return result





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case							):
     return (
         round(sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case							)
         else ValueError("Input Error: Molar mass values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(effusion_rate * sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(effusion_rate / sqrt(molar_mass_a / molar_mass_a							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(molar_mass / pow(effusion_rate_a / effusion_rate_a       ,			2							)       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )





def    __lowerCAmelCase   (    __snake_case       ,			__snake_case       ,			__snake_case							):
     return (
         round(pow(effusion_rate_a / effusion_rate_a       ,			2							) / molar_mass       ,			6							)
         if validate(__snake_case       ,			__snake_case       ,			__snake_case							)
         else ValueError(
             "Input Error: Molar mass and effusion rate values must greater than 0."							)
     )






