"""simple docstring"""


import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
    import jax

    from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
    from transformers.models.bert.modeling_flax_bert import FlaxBertModel
    from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel


@require_flax
class 				a (						unittest.TestCase      ):


    @slow
    def    lowerCAmelCase_     (    self		:     str    ):
      for model_name in ["bert-base-cased", "bert-large-uncased"]:
        with self.subTest(__lowerCAmelCase    ):
          _UpperCAmelCase         =					AutoConfig.from_pretrained(__lowerCAmelCase    )
          self.assertIsNotNone(__lowerCAmelCase    )
          self.assertIsInstance(__lowerCAmelCase      , __lowerCAmelCase    )

          _UpperCAmelCase         =					FlaxAutoModel.from_pretrained(__lowerCAmelCase    )
          self.assertIsNotNone(__lowerCAmelCase    )
          self.assertIsInstance(__lowerCAmelCase      , __lowerCAmelCase    )


    @slow
    def    lowerCAmelCase_     (    self		:     int    ):
      for model_name in ["roberta-base", "roberta-large"]:
        with self.subTest(__lowerCAmelCase    ):
          _UpperCAmelCase         =					AutoConfig.from_pretrained(__lowerCAmelCase    )
          self.assertIsNotNone(__lowerCAmelCase    )
          self.assertIsInstance(__lowerCAmelCase      , __lowerCAmelCase    )

          _UpperCAmelCase         =					FlaxAutoModel.from_pretrained(__lowerCAmelCase    )
          self.assertIsNotNone(__lowerCAmelCase    )
          self.assertIsInstance(__lowerCAmelCase      , __lowerCAmelCase    )


    @slow
    def    lowerCAmelCase_     (    self		:     Union[str, Any]    ):
      for model_name in ["bert-base-cased", "bert-large-uncased"]:
        _UpperCAmelCase         =					AutoTokenizer.from_pretrained(__lowerCAmelCase    )
        _UpperCAmelCase         =					FlaxBertModel.from_pretrained(__lowerCAmelCase    )
        _UpperCAmelCase         =					tokenizer("""Do you support jax jitted function?"""      , return_tensors=TensorType.JAX    )

        @jax.jit
        def eval(**__lowerCAmelCase		:     Union[str, Any]    ):
          return model(**__lowerCAmelCase    )

        eval(**__lowerCAmelCase    ).block_until_ready()


    @slow
    def    lowerCAmelCase_     (    self		:     List[str]    ):
      for model_name in ["roberta-base", "roberta-large"]:
        _UpperCAmelCase         =					AutoTokenizer.from_pretrained(__lowerCAmelCase    )
        _UpperCAmelCase         =					FlaxRobertaModel.from_pretrained(__lowerCAmelCase    )
        _UpperCAmelCase         =					tokenizer("""Do you support jax jitted function?"""      , return_tensors=TensorType.JAX    )

        @jax.jit
        def eval(**__lowerCAmelCase		:     Optional[Any]    ):
          return model(**__lowerCAmelCase    )

        eval(**__lowerCAmelCase    ).block_until_ready()


    def    lowerCAmelCase_     (    self		:     Any    ):
      with self.assertRaisesRegex(
          __lowerCAmelCase      , """bert-base is not a local folder and is not a valid model identifier"""    ):
        _UpperCAmelCase         =					FlaxAutoModel.from_pretrained("""bert-base"""    )


    def    lowerCAmelCase_     (    self		:     Tuple    ):
      with self.assertRaisesRegex(
          __lowerCAmelCase      , R"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""    ):
        _UpperCAmelCase         =					FlaxAutoModel.from_pretrained(__lowerCAmelCase      , revision="""aaaaaa"""    )


    def    lowerCAmelCase_     (    self		:     Tuple    ):
      with self.assertRaisesRegex(
          __lowerCAmelCase      , """hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack"""      , ):
        _UpperCAmelCase         =					FlaxAutoModel.from_pretrained("""hf-internal-testing/config-no-model"""    )


    def    lowerCAmelCase_     (    self		:     List[str]    ):
      with self.assertRaisesRegex(__lowerCAmelCase      , """Use `from_pt=True` to load this model"""    ):
        _UpperCAmelCase         =					FlaxAutoModel.from_pretrained("""hf-internal-testing/tiny-bert-pt-only"""    )

"""simple docstring"""


import math






def 			__UpperCAmelCase    (	lowercase						):







  """simple docstring"""
  _UpperCAmelCase         =					[]
  _UpperCAmelCase         =					2
  _UpperCAmelCase         =					int(math.sqrt(lowercase						)						)  # Size of every segment
  _UpperCAmelCase         =					[True] * (end + 1)
  _UpperCAmelCase         =					[]

  while start <= end:
    if temp[start] is True:
      in_prime.append(lowercase						)
      for i in range(start * start      ,end + 1      ,lowercase						):
        _UpperCAmelCase         =					False
    start += 1
  prime += in_prime

  _UpperCAmelCase         =					end + 1
  _UpperCAmelCase         =					min(2 * end      ,lowercase						)

  while low <= n:
    _UpperCAmelCase         =					[True] * (high - low + 1)
    for each in in_prime:
      _UpperCAmelCase         =					math.floor(low / each						) * each
      if t < low:
        t += each

      for j in range(lowercase      ,high + 1      ,lowercase						):
        _UpperCAmelCase         =					False

    for j in range(len(lowercase						)						):
      if temp[j] is True:
        prime.append(j + low						)

    _UpperCAmelCase         =					high + 1
    _UpperCAmelCase         =					min(high + end      ,lowercase						)

  return prime

print(sieve(1_0**6))
