




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase__				:      Any	   = {
    "configuration_longformer": [
        "LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "LongformerConfig",
        "LongformerOnnxConfig",
    ],
    "tokenization_longformer": ["LongformerTokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__				:      str	   = ["LongformerTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__				:      Tuple	   = [
       "LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
       "LongformerForMaskedLM",
       "LongformerForMultipleChoice",
       "LongformerForQuestionAnswering",
       "LongformerForSequenceClassification",
       "LongformerForTokenClassification",
       "LongformerModel",
       "LongformerPreTrainedModel",
       "LongformerSelfAttention",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__				:      str	   = [
       "TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
       "TFLongformerForMaskedLM",
       "TFLongformerForMultipleChoice",
       "TFLongformerForQuestionAnswering",
       "TFLongformerForSequenceClassification",
       "TFLongformerForTokenClassification",
       "TFLongformerModel",
       "TFLongformerPreTrainedModel",
       "TFLongformerSelfAttention",
   ]


if TYPE_CHECKING:
   from .configuration_longformer import (
       LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
       LongformerConfig,
       LongformerOnnxConfig,
   )
   from .tokenization_longformer import LongformerTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_longformer_fast import LongformerTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_longformer import (
          LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          LongformerForMaskedLM,
          LongformerForMultipleChoice,
          LongformerForQuestionAnswering,
          LongformerForSequenceClassification,
          LongformerForTokenClassification,
          LongformerModel,
          LongformerPreTrainedModel,
          LongformerSelfAttention,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_longformer import (
          TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFLongformerForMaskedLM,
          TFLongformerForMultipleChoice,
          TFLongformerForQuestionAnswering,
          TFLongformerForSequenceClassification,
          TFLongformerForTokenClassification,
          TFLongformerModel,
          TFLongformerPreTrainedModel,
          TFLongformerSelfAttention,
      )

else:
   import sys

   lowercase__				:      List[Any]	   = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)







import math
import unittest

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					bool:
     assert isinstance(__UpperCamelCase		, __UpperCamelCase) and (
         number >= 0
     ), "'number' must been an int and positive"

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5		, int(math.sqrt(__UpperCamelCase) + 1)		, 6):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True




class       a__	( unittest.TestCase				):







     def       lowerCAmelCase_    (     self			)  ->   List[str]:



          '''simple docstring'''



          self.assertTrue(is_prime(2			)			)
          self.assertTrue(is_prime(3			)			)
          self.assertTrue(is_prime(5			)			)
          self.assertTrue(is_prime(7			)			)
          self.assertTrue(is_prime(11			)			)
          self.assertTrue(is_prime(13			)			)
          self.assertTrue(is_prime(17			)			)
          self.assertTrue(is_prime(19			)			)
          self.assertTrue(is_prime(23			)			)
          self.assertTrue(is_prime(29			)			)







     def       lowerCAmelCase_    (     self			)  ->   Tuple:



          '''simple docstring'''



          with self.assertRaises(A			):
               is_prime(-19			)
          self.assertFalse(
              is_prime(0			)  ,		"Zero doesn't have any positive factors, primes must have exactly two."  ,		)
          self.assertFalse(
              is_prime(1			)  ,		"One only has 1 positive factor, primes must have exactly two."  ,		)
          self.assertFalse(is_prime(2 * 2			)			)
          self.assertFalse(is_prime(2 * 3			)			)
          self.assertFalse(is_prime(3 * 3			)			)
          self.assertFalse(is_prime(3 * 5			)			)
          self.assertFalse(is_prime(3 * 5 * 7			)			)


if __name__ == "__main__":
   unittest.main()

