



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  __snake_case      (   SCREAMING_SNAKE_CASE			,unittest.TestCase):







							'''simple docstring'''






							UpperCamelCase__				:      Tuple         =					BlenderbotSmallTokenizer
							UpperCamelCase__				:      str         =					False


							def _a      (							self		):
											super().setUp()

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

											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(a_		) + """\n"""		)
											with open(self.merges_file  ,  """w"""  ,  encoding="""utf-8"""		) as fp:
															fp.write("""\n""".join(a_		)		)


							def _a      (							self  ,  **a_		):
											kwargs.update(self.special_tokens_map		)
											return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname  ,  **a_		)


							def _a      (							self  ,  a_		):
											a__				      =		"""adapt act apte"""
											a__				      =		"""adapt act apte"""
											return input_text, output_text


							def _a      (							self		):
											a__				      =		BlenderbotSmallTokenizer(self.vocab_file  ,  self.merges_file  ,  **self.special_tokens_map		)
											a__				      =		"""adapt act apte"""
											a__				      =		["""adapt""", """act""", """ap@@""", """te"""]
											a__				      =		tokenizer.tokenize(a_		)
											self.assertListEqual(a_  ,  a_		)

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

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


							def _a      (							self		):
											a__				      =		BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""		)
											assert tok("""sam"""		).input_ids == [1_384]
											a__				      =		"""I am a small frog."""
											a__				      =		tok([src_text]  ,  padding=a_  ,  truncation=a_		)["""input_ids"""]
											a__				      =		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 _a      (							self		):
											a__				      =		BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""		)
											a__				      =		"""I am a small frog ."""
											a__				      =		"""."""
											a__				      =		tok(a_		)["""input_ids"""]
											a__				      =		tok(a_		)["""input_ids"""]

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











from __future__ import annotations

UpperCAmelCase							 =					8.988E9  # units = N * m^s * C^-2

def 			A_      (	__a     :				float ,		__a     :				float ,		__a     :				float ,		__a     :				float		):

				"""simple docstring"""
				a__				      =		abs(chargea * chargea		)

				if (force, chargea, chargea, distance).count(0		) != 1:
								raise ValueError("""One and only one argument must be 0"""		)
				if distance < 0:
								raise ValueError("""Distance cannot be negative"""		)
				if force == 0:
								a__				      =		COULOMBS_CONSTANT * charge_product / (distance**2)
								return {"force": force}
				elif chargea == 0:
								a__				      =		abs(__a		) * (distance**2) / (COULOMBS_CONSTANT * chargea)
								return {"charge1": chargea}
				elif chargea == 0:
								a__				      =		abs(__a		) * (distance**2) / (COULOMBS_CONSTANT * chargea)
								return {"charge2": chargea}
				elif distance == 0:
								a__				      =		(COULOMBS_CONSTANT * charge_product / abs(__a		)) ** 0.5
								return {"distance": distance}
				raise ValueError("""Exactly one argument must be 0"""		)


if __name__ == "__main__":
	import doctest

	doctest.testmod()

