import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCamelCase    :				Optional[Any]							     =	'''▁'''

__lowerCamelCase    :				int							     =	get_tests_dir('''fixtures/test_sentencepiece.model''')







@require_sentencepiece
@require_tokenizers
class __snake_case       (		lowerCamelCase_     ,	unittest.TestCase	):
   lowerCAmelCase_														=							BigBirdTokenizer
   lowerCAmelCase_														=							BigBirdTokenizerFast
   lowerCAmelCase_														=							True
   lowerCAmelCase_														=							True




   def 			__a		(					self    :       List[str]   ):



     """simple docstring"""






     super().setUp()

     SCREAMING_SNAKE_CASE__    							=   self.tokenizer_class(_lowercase ,			keep_accents=_lowercase   )
     tokenizer.save_pretrained(self.tmpdirname   )




   def 			__a		(					self    :       str   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   """<s>"""
     SCREAMING_SNAKE_CASE__    							=   1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase   ) ,			_lowercase   )
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase   ) ,			_lowercase   )




   def 			__a		(					self    :       Optional[int]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   list(self.get_tokenizer().get_vocab().keys()   )

     self.assertEqual(vocab_keys[0] ,			"""<unk>"""   )
     self.assertEqual(vocab_keys[1] ,			"""<s>"""   )
     self.assertEqual(vocab_keys[-1] ,			"""[MASK]"""   )
     self.assertEqual(len(_lowercase   ) ,			10_04   )




   def 			__a		(					self    :       Optional[Any]   ):



     """simple docstring"""






     self.assertEqual(self.get_tokenizer().vocab_size ,			10_00   )




   def 			__a		(					self    :       int   ):



     """simple docstring"""






     if not self.test_rust_tokenizer:
       return

     SCREAMING_SNAKE_CASE__    							=   self.get_tokenizer()
     SCREAMING_SNAKE_CASE__    							=   self.get_rust_tokenizer()

     SCREAMING_SNAKE_CASE__    							=   """I was born in 92000, and this is falsé."""

     SCREAMING_SNAKE_CASE__    							=   tokenizer.tokenize(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   rust_tokenizer.tokenize(_lowercase   )
     self.assertListEqual(_lowercase ,			_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   tokenizer.encode(_lowercase ,			add_special_tokens=_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   rust_tokenizer.encode(_lowercase ,			add_special_tokens=_lowercase   )
     self.assertListEqual(_lowercase ,			_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   self.get_rust_tokenizer()
     SCREAMING_SNAKE_CASE__    							=   tokenizer.encode(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   rust_tokenizer.encode(_lowercase   )
     self.assertListEqual(_lowercase ,			_lowercase   )




   def 			__a		(					self    :       int   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   BigBirdTokenizer(_lowercase ,			keep_accents=_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   tokenizer.tokenize("""This is a test"""   )
     self.assertListEqual(_lowercase ,			["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]   )

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(_lowercase   ) ,			[2_85, 46, 10, 1_70, 3_82] ,			)

     SCREAMING_SNAKE_CASE__    							=   tokenizer.tokenize("""I was born in 92000, and this is falsé."""   )
     self.assertListEqual(
         _lowercase ,			[
             SPIECE_UNDERLINE + """I""",
             SPIECE_UNDERLINE + """was""",
             SPIECE_UNDERLINE + """b""",
             """or""",
             """n""",
             SPIECE_UNDERLINE + """in""",
             SPIECE_UNDERLINE + """""",
             """9""",
             """2""",
             """0""",
             """0""",
             """0""",
             """,""",
             SPIECE_UNDERLINE + """and""",
             SPIECE_UNDERLINE + """this""",
             SPIECE_UNDERLINE + """is""",
             SPIECE_UNDERLINE + """f""",
             """al""",
             """s""",
             """é""",
             """.""",
         ] ,			)
     SCREAMING_SNAKE_CASE__    							=   tokenizer.convert_tokens_to_ids(_lowercase   )
     self.assertListEqual(
         _lowercase ,			[8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4] ,			)

     SCREAMING_SNAKE_CASE__    							=   tokenizer.convert_ids_to_tokens(_lowercase   )
     self.assertListEqual(
         _lowercase ,			[
             SPIECE_UNDERLINE + """I""",
             SPIECE_UNDERLINE + """was""",
             SPIECE_UNDERLINE + """b""",
             """or""",
             """n""",
             SPIECE_UNDERLINE + """in""",
             SPIECE_UNDERLINE + """""",
             """<unk>""",
             """2""",
             """0""",
             """0""",
             """0""",
             """,""",
             SPIECE_UNDERLINE + """and""",
             SPIECE_UNDERLINE + """this""",
             SPIECE_UNDERLINE + """is""",
             SPIECE_UNDERLINE + """f""",
             """al""",
             """s""",
             """<unk>""",
             """.""",
         ] ,			)




   @cached_property
   def 			__a		(					self    :       int   ):



     """simple docstring"""






     return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""   )




   @slow
   def 			__a		(					self    :       Tuple   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   """Hello World!"""
     SCREAMING_SNAKE_CASE__    							=   [65, 1_85_36, 22_60, 1_01, 66]

     self.assertListEqual(_lowercase ,			self.big_tokenizer.encode(_lowercase   )   )




   @slow
   def 			__a		(					self    :       int   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   (
         """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
         """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
     )
     # fmt: off
     SCREAMING_SNAKE_CASE__    							=   [65, 8_71, 4_19, 3_58, 9_46, 9_91, 25_21, 4_52, 3_58, 13_57, 3_87, 77_51, 35_36, 1_12, 9_85, 4_56, 1_26, 8_65, 9_38, 54_00, 57_34, 4_58, 13_68, 4_67, 7_86, 24_62, 52_46, 11_59, 6_33, 8_65, 45_19, 4_57, 5_82, 8_52, 25_57, 4_27, 9_16, 5_08, 4_05, 3_43_24, 4_97, 3_91, 4_08, 1_13_42, 12_44, 3_85, 1_00, 9_38, 9_85, 4_56, 5_74, 3_62, 1_25_97, 32_00, 31_29, 11_72, 66]  # noqa: E231
     # fmt: on
     self.assertListEqual(_lowercase ,			self.big_tokenizer.encode(_lowercase   )   )




   @require_torch
   @slow
   def 			__a		(					self    :       Optional[Any]   ):



     """simple docstring"""






     import torch

     from transformers import BigBirdConfig, BigBirdModel

     # Build sequence
     SCREAMING_SNAKE_CASE__    							=   list(self.big_tokenizer.get_vocab().keys()   )[:10]
     SCREAMING_SNAKE_CASE__    							=   """ """.join(_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   self.big_tokenizer.encode_plus(_lowercase ,			return_tensors="""pt""" ,			return_token_type_ids=_lowercase   )
     SCREAMING_SNAKE_CASE__    							=   self.big_tokenizer.batch_encode_plus(
         [sequence + """ """ + sequence] ,			return_tensors="""pt""" ,			return_token_type_ids=_lowercase   )

     SCREAMING_SNAKE_CASE__    							=   BigBirdConfig(attention_type="""original_full"""   )
     SCREAMING_SNAKE_CASE__    							=   BigBirdModel(_lowercase   )

     assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

     with torch.no_grad():
       model(**_lowercase   )
       model(**_lowercase   )




   @slow
   def 			__a		(					self    :       int   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""   )
     SCREAMING_SNAKE_CASE__    							=   tokenizer.decode(tokenizer("""Paris is the [MASK]."""   ).input_ids   )

     self.assertTrue(decoded_text == """[CLS] Paris is the[MASK].[SEP]"""   )




   @slow
   def 			__a		(					self    :       Union[str, Any]   ):



     """simple docstring"""






     SCREAMING_SNAKE_CASE__    							=   {"""input_ids""": [[65, 3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14, 66], [65, 4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
     # fmt: on

     self.tokenizer_integration_test_util(
         expected_encoding=_lowercase ,			model_name="""google/bigbird-roberta-base""" ,			revision="""215c99f1600e06f83acce68422f2035b2b5c3510""" ,			)

from math import log

from scipy.constants import Boltzmann, physical_constants

__lowerCamelCase    :				int							     =	300  # TEMPERATURE (unit = K)



def 			__SCREAMING_SNAKE_CASE						(      __UpperCamelCase					: float				,  __UpperCamelCase					: float				,  __UpperCamelCase					: float				,  )							->      float:







  """simple docstring"""





  if donor_conc <= 0:
    raise ValueError("""Donor concentration should be positive"""			)
  elif acceptor_conc <= 0:
    raise ValueError("""Acceptor concentration should be positive"""			)
  elif intrinsic_conc <= 0:
    raise ValueError("""Intrinsic concentration should be positive"""			)
  elif donor_conc <= intrinsic_conc:
    raise ValueError(
        """Donor concentration should be greater than intrinsic concentration"""			)
  elif acceptor_conc <= intrinsic_conc:
    raise ValueError(
        """Acceptor concentration should be greater than intrinsic concentration"""			)
  else:
    return (
        Boltzmann
        * T
        * log((donor_conc * acceptor_conc) / intrinsic_conc**2			)
        / physical_constants["electron volt"][0]
    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
