





'''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					(   __magic_name__						,						unittest.TestCase			):






       """simple docstring"""
       _snake_case     :					Tuple						    =   BlenderbotSmallTokenizer
       _snake_case     :					Tuple						    =   False





       def snake_case__						(							self       :		Tuple					)   ->					Optional[Any]:

            '''simple docstring'''




            super().setUp()

            _UpperCamelCase       =	['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
            _UpperCamelCase       =	dict(zip(lowerCAmelCase__	,			range(len(lowerCAmelCase__					)					)					)					)

            _UpperCamelCase       =	['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
            _UpperCamelCase       =	{'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

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





       def snake_case__						(							self       :		Optional[int]	,			**lowerCAmelCase__       :		Union[str, Any]					)   ->					Dict:

            '''simple docstring'''




            kwargs.update(self.special_tokens_map					)
            return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname	,			**lowerCAmelCase__					)





       def snake_case__						(							self       :		int	,			lowerCAmelCase__       :		Tuple					)   ->					Optional[Any]:

            '''simple docstring'''




            _UpperCamelCase       =	'''adapt act apte'''
            _UpperCamelCase       =	'''adapt act apte'''
            return input_text, output_text





       def snake_case__						(							self       :		Optional[Any]					)   ->					Tuple:

            '''simple docstring'''




            _UpperCamelCase       =	BlenderbotSmallTokenizer(self.vocab_file	,			self.merges_file	,			**self.special_tokens_map					)
            _UpperCamelCase       =	'''adapt act apte'''
            _UpperCamelCase       =	['''adapt''', '''act''', '''ap@@''', '''te''']
            _UpperCamelCase       =	tokenizer.tokenize(lowerCAmelCase__					)
            self.assertListEqual(lowerCAmelCase__	,			lowerCAmelCase__					)

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

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





       def snake_case__						(							self       :		List[Any]					)   ->					Dict:

            '''simple docstring'''




            _UpperCamelCase       =	BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''					)
            assert tok('''sam'''					).input_ids == [1384]
            _UpperCamelCase       =	'''I am a small frog.'''
            _UpperCamelCase       =	tok([src_text]	,			padding=lowerCAmelCase__	,			truncation=lowerCAmelCase__					)['''input_ids''']
            _UpperCamelCase       =	tok.batch_decode(lowerCAmelCase__	,			skip_special_tokens=lowerCAmelCase__	,			clean_up_tokenization_spaces=lowerCAmelCase__					)[0]
            assert src_text != decoded  # I wish it did!
            assert decoded == "i am a small frog ."







       def snake_case__						(							self       :		Tuple					)   ->					Optional[Any]:

            '''simple docstring'''




            _UpperCamelCase       =	BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''					)
            _UpperCamelCase       =	'''I am a small frog .'''
            _UpperCamelCase       =	'''.'''
            _UpperCamelCase       =	tok(lowerCAmelCase__					)['''input_ids''']
            _UpperCamelCase       =	tok(lowerCAmelCase__					)['''input_ids''']

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










'''simple docstring'''

import math







def  a__    (    lowercase :					float, lowercase :					float				)		->		float:





     """simple docstring"""

     if initial_intensity < 0:
          raise ValueError('''The value of intensity cannot be negative'''				)
          # handling of negative values of initial intensity
     if angle < 0 or angle > 360:
          raise ValueError('''In Malus Law, the angle is in the range 0-360 degrees'''				)
          # handling of values out of allowed range
     return initial_intensity * (math.cos(math.radians(lowercase				)				) ** 2)


if __name__ == "__main__":
   import doctest

   doctest.testmod(name='malus_law')



