
'''simple docstring'''
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
  import torch

  from transformers import CamembertModel






@require_torch
@require_sentencepiece
@require_tokenizers
class 				UpperCAmelCase_			(		unittest.TestCase   ):





 @slow
 def     snake_case__						(      self):
     snake_case_	:      List[str]            =  CamembertModel.from_pretrained("camembert-base")
     model.to(_UpperCAmelCase)

     snake_case_	:      Union[str, Any]            =  torch.tensor(
         [[5, 1_21, 11, 6_60, 16, 7_30, 2_55_43, 1_10, 83, 6]]	,    device=_UpperCAmelCase	,    dtype=torch.long	,    )  # J'aime le camembert !
     with torch.no_grad():
         snake_case_	:      Tuple            =  model(_UpperCAmelCase)["last_hidden_state"]
     snake_case_	:      Optional[Any]            =  torch.Size((1, 10, 7_68))
     self.assertEqual(output.shape	,    _UpperCAmelCase)
     # compare the actual values for a slice.
     snake_case_	:      Optional[Any]            =  torch.tensor(
         [[[-0.0_254, 0.0_235, 0.1_027], [0.0_606, -0.1_811, -0.0_418], [-0.1_561, -0.1_127, 0.2_687]]]	,    device=_UpperCAmelCase	,    dtype=torch.float	,    )
     # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
     # camembert.eval()
     # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

     self.assertTrue(torch.allclose(output[:, :3, :3]	,    _UpperCAmelCase	,    atol=1E-4))







'''simple docstring'''
import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


a_     =  importlib.metadata.version("numpy")
a_     =  ".".join([str(x) for x in sys.version_info[:3]])






class 				UpperCAmelCase_			(		snake_case__   ):





 def     snake_case__						(      self):
     # lt + different version strings
     require_version_core("numpy<1000.4.5")
     require_version_core("numpy<1000.4")
     require_version_core("numpy<1000")

     # le
     require_version_core("numpy<=1000.4.5")
     require_version_core(F'numpy<={numpy_ver}')

     # eq
     require_version_core(F'numpy=={numpy_ver}')

     # ne
     require_version_core("numpy!=1000.4.5")

     # ge
     require_version_core("numpy>=1.0")
     require_version_core("numpy>=1.0.0")
     require_version_core(F'numpy>={numpy_ver}')

     # gt
     require_version_core("numpy>1.0.0")

     # mix
     require_version_core("numpy>1.0.0,<1000")

     # requirement w/o version
     require_version_core("numpy")

     # unmet requirements due to version conflict
     for req in ["numpy==1.0.0", "numpy>=1000.0.0", F'numpy<{numpy_ver}']:
         try:
             require_version_core(lowercase_)
         except ImportError as e:
             self.assertIn(F'{req} is required'	,    str(lowercase_))
             self.assertIn("but found"	,    str(lowercase_))

        # unmet requirements due to missing module
     for req in ["numpipypie>1", "numpipypie2"]:
         try:
             require_version_core(lowercase_)
         except importlib.metadata.PackageNotFoundError as e:
             self.assertIn(F'The \'{req}\' distribution was not found and is required by this application'	,    str(lowercase_))
             self.assertIn("Try: pip install transformers -U"	,    str(lowercase_))

        # bogus requirements formats:
        # 1. whole thing
     for req in ["numpy??1.0.0", "numpy1.0.0"]:
         try:
             require_version_core(lowercase_)
         except ValueError as e:
             self.assertIn("requirement needs to be in the pip package format"	,    str(lowercase_))
        # 2. only operators
     for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
         try:
             require_version_core(lowercase_)
         except ValueError as e:
             self.assertIn("need one of "	,    str(lowercase_))





 def     snake_case__						(      self):
     # matching requirement
     require_version("python>=3.6.0")

     # not matching requirements
     for req in ["python>9.9.9", "python<3.0.0"]:
         try:
             require_version_core(lowercase_)
         except ImportError as e:
             self.assertIn(F'{req} is required'	,    str(lowercase_))
             self.assertIn(F'but found python=={python_ver}'	,    str(lowercase_))




