





import unittest
from pathlib import Path
from tempfile import TemporaryDirectory

from transformers import AutoConfig, TFGPTaLMHeadModel, is_keras_nlp_available, is_tf_available
from transformers.models.gpta.tokenization_gpta import GPTaTokenizer
from transformers.testing_utils import require_keras_nlp, require_tf, slow


if is_tf_available():
      import tensorflow as tf

if is_keras_nlp_available():
      from transformers.models.gpta import TFGPTaTokenizer


a__      :     Tuple         =		['gpt2']
a__      :     List[Any]         =		'gpt2'

if is_tf_available():





      class UpperCAmelCase_				( tf.Module ):


        def __init__(							self ,__snake_case ):



             """simple docstring"""





             super().__init__()
             A_          =       tokenizer
             A_          =       AutoConfig.from_pretrained(__snake_case )
             A_          =       TFGPTaLMHeadModel.from_config(__snake_case )




        @tf.function(input_signature=(tf.TensorSpec((None,) ,tf.string ,name='''text''' ),) )
        def 						__UpperCAmelCase     (							self ,__snake_case ):



             """simple docstring"""





             A_          =       self.tokenizer(__snake_case )
             A_          =       tokenized['''input_ids'''].to_tensor()

             A_          =       tf.cast(input_ids_dense > 0 ,tf.intaa )
             # input_mask = tf.reshape(input_mask, [-1, MAX_SEQ_LEN])

             A_          =       self.model(input_ids=__snake_case ,attention_mask=__snake_case )['''logits''']

             return outputs





@require_tf
@require_keras_nlp
class UpperCAmelCase_				( unittest.TestCase ):


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       super().setUp()

       A_          =       [GPTaTokenizer.from_pretrained(__snake_case ) for checkpoint in (TOKENIZER_CHECKPOINTS)]
       A_          =       [TFGPTaTokenizer.from_pretrained(__snake_case ) for checkpoint in TOKENIZER_CHECKPOINTS]
       assert len(self.tokenizers ) == len(self.tf_tokenizers )

       A_          =       [
           '''This is a straightforward English test sentence.''',
           '''This one has some weird characters\rto\nsee\r\nif  those\u00E9break things.''',
           '''Now we\'re going to add some Chinese: 一 二 三 一二三''',
           '''And some much more rare Chinese: 齉 堃 齉堃''',
           '''Je vais aussi écrire en français pour tester les accents''',
           '''Classical Irish also has some unusual characters, so in they go: Gaelaċ, ꝼ''',
       ]
       A_          =       list(zip(self.test_sentences ,self.test_sentences[::-1] ) )


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       for tokenizer, tf_tokenizer in zip(self.tokenizers ,self.tf_tokenizers ):
            for test_inputs in self.test_sentences:
                 A_          =       tokenizer([test_inputs] ,return_tensors='''tf''' )
                 A_          =       tf_tokenizer([test_inputs] )

                 for key in python_outputs.keys():
                      # convert them to numpy to avoid messing with ragged tensors
                      A_          =       python_outputs[key].numpy()
                      A_          =       tf_outputs[key].numpy()

                      self.assertTrue(tf.reduce_all(python_outputs_values.shape == tf_outputs_values.shape ) )
                      self.assertTrue(tf.reduce_all(tf.cast(__snake_case ,tf.intaa ) == tf_outputs_values ) )


  @slow
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       for tf_tokenizer in self.tf_tokenizers:
            A_          =       tf.function(__snake_case )
            for test_inputs in self.test_sentences:
                 A_          =       tf.constant(__snake_case )
                 A_          =       compiled_tokenizer(__snake_case )
                 A_          =       tf_tokenizer(__snake_case )

                 for key in eager_outputs.keys():
                      self.assertTrue(tf.reduce_all(eager_outputs[key] == compiled_outputs[key] ) )


  @slow
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       for tf_tokenizer in self.tf_tokenizers:
            A_          =       ModelToSave(tokenizer=__snake_case )
            A_          =       tf.convert_to_tensor([self.test_sentences[0]] )
            A_          =       model.serving(__snake_case )  # Build model with some sample inputs
            with TemporaryDirectory() as tempdir:
                 A_          =       Path(__snake_case ) / '''saved.model'''
                 tf.saved_model.save(__snake_case ,__snake_case ,signatures={'''serving_default''': model.serving} )
                 A_          =       tf.saved_model.load(__snake_case )
            A_          =       loaded_model.signatures['''serving_default'''](__snake_case )['''output_0''']
            # We may see small differences because the loaded model is compiled, so we need an epsilon for the test
            self.assertTrue(tf.reduce_all(out == loaded_output ) )


  @slow
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       for tf_tokenizer in self.tf_tokenizers:
            A_          =       tf.convert_to_tensor([self.test_sentences[0]] )
            A_          =       tf_tokenizer(__snake_case )  # Build model with some sample inputs

            A_          =       tf_tokenizer.get_config()
            A_          =       TFGPTaTokenizer.from_config(__snake_case )
            A_          =       model_from_config(__snake_case )

            for key in from_config_output.keys():
                 self.assertTrue(tf.reduce_all(from_config_output[key] == out[key] ) )




  @slow
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       for tf_tokenizer in self.tf_tokenizers:
            # for the test to run
            A_          =       1_2_3_1_2_3

            for max_length in [3, 5, 1_0_2_4]:
                 A_          =       tf.convert_to_tensor([self.test_sentences[0]] )
                 A_          =       tf_tokenizer(__snake_case ,max_length=__snake_case )

                 A_          =       out['''input_ids'''].numpy().shape[1]

                 assert out_length == max_length










import logging
import os
import threading
import time


try:
      import warnings
except ImportError:
      a__      :     Optional[Any]         =		None

try:
      import msvcrt
except ImportError:
      a__      :     List[str]         =		None

try:
      import fcntl
except ImportError:
      a__      :     Optional[int]         =		None


# Backward compatibility
# ------------------------------------------------
try:
      TimeoutError
except NameError:
      a__      :     List[str]         =		OSError


# Data
# ------------------------------------------------
a__      :     Union[str, Any]         =		[
    'Timeout',
    'BaseFileLock',
    'WindowsFileLock',
    'UnixFileLock',
    'SoftFileLock',
    'FileLock',
]

a__      :     str         =		'3.0.12'


a__      :     Optional[int]         =		None

def      UpperCAmelCase_    (    )	->				Tuple:
     '''simple docstring'''


     global _logger
     A_          =       _logger or logging.getLogger(__name__				)
     return _logger





class UpperCAmelCase_				( _SCREAMING_SNAKE_CASE ):


  def __init__(							self ,__snake_case ):



       """simple docstring"""





       A_          =       lock_file
       return None




  def __str__(							self ):



       """simple docstring"""





       A_          =       f'The file lock \'{self.lock_file}\' could not be acquired.'
       return temp





class UpperCAmelCase_				:


  def __init__(							self ,__snake_case ):



       """simple docstring"""





       A_          =       lock
       return None


  def __enter__(							self ):



       """simple docstring"""





       return self.lock




  def __exit__(							self ,__snake_case ,__snake_case ,__snake_case ):



       """simple docstring"""





       self.lock.release()
       return None





class UpperCAmelCase_				:


  def __init__(							self ,__snake_case ,__snake_case=-1 ,__snake_case=None ):



       """simple docstring"""





       A_          =       max_filename_length if max_filename_length is not None else 2_5_5
       # Hash the filename if it's too long
       A_          =       self.hash_filename_if_too_long(__snake_case ,__snake_case )
       # The path to the lock file.
       A_          =       lock_file

       # The file descriptor for the *_lock_file* as it is returned by the
       # os.open() function.
       # This file lock is only NOT None, if the object currently holds the
       # lock.
       A_          =       None

       # The default timeout value.
       A_          =       timeout

       # We use this lock primarily for the lock counter.
       A_          =       threading.Lock()

       # The lock counter is used for implementing the nested locking
       # mechanism. Whenever the lock is acquired, the counter is increased and
       # the lock is only released, when this value is 0 again.
       A_          =       0
       return None


  @property
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       return self._lock_file


  @property
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       return self._timeout


  @timeout.setter
  def 						__UpperCAmelCase     (							self ,__snake_case ):



       """simple docstring"""





       A_          =       float(__snake_case )
       return None


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       raise NotImplementedError()


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       raise NotImplementedError()


  @property
  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       return self._lock_file_fd is not None


  def 						__UpperCAmelCase     (							self ,__snake_case=None ,__snake_case=0.05 ):



       """simple docstring"""





       if timeout is None:
            A_          =       self.timeout

       # Increment the number right at the beginning.
       # We can still undo it, if something fails.
       with self._thread_lock:
            self._lock_counter += 1

       A_          =       id(self )
       A_          =       self._lock_file
       A_          =       time.time()
       try:
            while True:
                 with self._thread_lock:
                      if not self.is_locked:
                           logger().debug(f'Attempting to acquire lock {lock_id} on {lock_filename}' )
                           self._acquire()

                 if self.is_locked:
                      logger().debug(f'Lock {lock_id} acquired on {lock_filename}' )
                      break
                 elif timeout >= 0 and time.time() - start_time > timeout:
                      logger().debug(f'Timeout on acquiring lock {lock_id} on {lock_filename}' )
                      raise Timeout(self._lock_file )
                 else:
                      logger().debug(
                          f'Lock {lock_id} not acquired on {lock_filename}, waiting {poll_intervall} seconds ...' )
                      time.sleep(__snake_case )
       except:  # noqa
            # Something did go wrong, so decrement the counter.
            with self._thread_lock:
                 A_          =       max(0 ,self._lock_counter - 1 )

            raise
       return _Acquire_ReturnProxy(lock=self )


  def 						__UpperCAmelCase     (							self ,__snake_case=False ):



       """simple docstring"""





       with self._thread_lock:
            if self.is_locked:
                 self._lock_counter -= 1

                 if self._lock_counter == 0 or force:
                      A_          =       id(self )
                      A_          =       self._lock_file

                      logger().debug(f'Attempting to release lock {lock_id} on {lock_filename}' )
                      self._release()
                      A_          =       0
                      logger().debug(f'Lock {lock_id} released on {lock_filename}' )

       return None


  def __enter__(							self ):



       """simple docstring"""





       self.acquire()
       return self


  def __exit__(							self ,__snake_case ,__snake_case ,__snake_case ):



       """simple docstring"""





       self.release()
       return None


  def __del__(							self ):



       """simple docstring"""





       self.release(force=__snake_case )
       return None




  def 						__UpperCAmelCase     (							self ,__snake_case ,__snake_case ):



       """simple docstring"""





       A_          =       os.path.basename(__snake_case )
       if len(__snake_case ) > max_length and max_length > 0:
            A_          =       os.path.dirname(__snake_case )
            A_          =       str(hash(__snake_case ) )
            A_          =       filename[: max_length - len(__snake_case ) - 8] + '''...''' + hashed_filename + '''.lock'''
            return os.path.join(__snake_case ,__snake_case )
       else:
            return path





class UpperCAmelCase_				( _SCREAMING_SNAKE_CASE ):


  def __init__(							self ,__snake_case ,__snake_case=-1 ,__snake_case=None ):



       """simple docstring"""





       from .file_utils import relative_to_absolute_path

       super().__init__(__snake_case ,timeout=__snake_case ,max_filename_length=__snake_case )
       A_          =       '''\\\\?\\''' + relative_to_absolute_path(self.lock_file )


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       os.O_RDWR | os.O_CREAT | os.O_TRUNC

       try:
            A_          =       os.open(self._lock_file ,__snake_case )
       except OSError:
            pass
       else:
            try:
                 msvcrt.locking(__snake_case ,msvcrt.LK_NBLCK ,1 )
            except OSError:
                 os.close(__snake_case )
            else:
                 A_          =       fd
       return None




  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self._lock_file_fd
       A_          =       None
       msvcrt.locking(__snake_case ,msvcrt.LK_UNLCK ,1 )
       os.close(__snake_case )

       try:
            os.remove(self._lock_file )
       # Probably another instance of the application
       # that acquired the file lock.
       except OSError:
            pass
       return None





class UpperCAmelCase_				( _SCREAMING_SNAKE_CASE ):


  def __init__(							self ,__snake_case ,__snake_case=-1 ,__snake_case=None ):



       """simple docstring"""





       A_          =       os.statvfs(os.path.dirname(__snake_case ) ).f_namemax
       super().__init__(__snake_case ,timeout=__snake_case ,max_filename_length=__snake_case )


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       os.O_RDWR | os.O_CREAT | os.O_TRUNC
       A_          =       os.open(self._lock_file ,__snake_case )

       try:
            fcntl.flock(__snake_case ,fcntl.LOCK_EX | fcntl.LOCK_NB )
       except OSError:
            os.close(__snake_case )
       else:
            A_          =       fd
       return None




  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       self._lock_file_fd
       A_          =       None
       fcntl.flock(__snake_case ,fcntl.LOCK_UN )
       os.close(__snake_case )
       return None





class UpperCAmelCase_				( _SCREAMING_SNAKE_CASE ):


  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       A_          =       os.O_WRONLY | os.O_CREAT | os.O_EXCL | os.O_TRUNC
       try:
            A_          =       os.open(self._lock_file ,__snake_case )
       except OSError:
            pass
       else:
            A_          =       fd
       return None




  def 						__UpperCAmelCase     (							self ):



       """simple docstring"""





       os.close(self._lock_file_fd )
       A_          =       None

       try:
            os.remove(self._lock_file )
       # The file is already deleted and that's what we want.
       except OSError:
            pass
       return None




a__      :     Union[str, Any]         =		None

if msvcrt:
      a__      :     Dict         =		WindowsFileLock
elif fcntl:
      a__      :     Dict         =		UnixFileLock
else:
      a__      :     Optional[int]         =		SoftFileLock

      if warnings is not None:
            warnings.warn('only soft file lock is available')



