

'''simple docstring'''
import inspect
import os
import unittest
from pathlib import Path

import torch

import accelerate
from accelerate.test_utils import execute_subprocess_async
from accelerate.test_utils.testing import run_command


class    a__  (							unittest.TestCase  ):
   _SCREAMING_SNAKE_CASE    :     Union[str, Any]	       =							inspect.getfile(accelerate.test_utils  )
   _SCREAMING_SNAKE_CASE    :     Dict	       =							os.path.sep.join(mod_file.split(os.path.sep  )[:-1] + ['scripts', 'test_cli.py']  )

   _SCREAMING_SNAKE_CASE    :     Optional[Any]	       =							['accelerate', 'launch']
   _SCREAMING_SNAKE_CASE    :     List[str]	       =							Path.home() / '.cache/huggingface/accelerate'
   _SCREAMING_SNAKE_CASE    :     str	       =							'default_config.yaml'
   _SCREAMING_SNAKE_CASE    :     str	       =							config_folder / config_file
   _SCREAMING_SNAKE_CASE    :     Any	       =							config_folder / '_default_config.yaml'

   _SCREAMING_SNAKE_CASE    :     Any	       =							Path('tests/test_configs'  )


   @classmethod
   def 						_lowerCamelCase   ( cls  ):





      """simple docstring"""





      if cls.config_path.is_file():
         cls.config_path.rename(cls.changed_path  )


   @classmethod
   def 						_lowerCamelCase   ( cls  ):





      """simple docstring"""





      if cls.changed_path.is_file():
         cls.changed_path.rename(cls.config_path  )


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      Dict			     =   self.base_cmd
      if torch.cuda.is_available() and (torch.cuda.device_count() > 1):
         cmd += ["--multi_gpu"]
      execute_subprocess_async(cmd + [self.test_file_path]			,				env=os.environ.copy()  )


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      for config in sorted(self.test_config_path.glob("**/*.yaml"  )  ):
         with self.subTest(config_file=_SCREAMING_SNAKE_CASE  ):
            execute_subprocess_async(
                self.base_cmd + ["--config_file", str(_SCREAMING_SNAKE_CASE  ), self.test_file_path]			,				env=os.environ.copy()  )






   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      execute_subprocess_async(["accelerate", "test"]			,				env=os.environ.copy()  )




class    a__  (							unittest.TestCase  ):
   _SCREAMING_SNAKE_CASE    :     Any	       =							'test-tpu'
   _SCREAMING_SNAKE_CASE    :     List[Any]	       =							'us-central1-a'
   _SCREAMING_SNAKE_CASE    :     List[str]	       =							'ls'
   _SCREAMING_SNAKE_CASE    :     Tuple	       =							['accelerate', 'tpu-config']
   _SCREAMING_SNAKE_CASE    :     List[str]	       =							'cd /usr/share'
   _SCREAMING_SNAKE_CASE    :     str	       =							'tests/test_samples/test_command_file.sh'
   _SCREAMING_SNAKE_CASE    :     Union[str, Any]	       =							'Running gcloud compute tpus tpu-vm ssh'


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      List[Any]			     =   run_command(
          self.cmd
          + ["--command", self.command, "--tpu_zone", self.tpu_zone, "--tpu_name", self.tpu_name, "--debug"]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      int			     =   run_command(
          self.cmd
          + [
              "--config_file",
              "tests/test_configs/0_12_0.yaml",
              "--command",
              self.command,
              "--tpu_zone",
              self.tpu_zone,
              "--tpu_name",
              self.tpu_name,
              "--debug",
          ]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      List[str]			     =   run_command(
          self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--debug"]			,				return_stdout=_SCREAMING_SNAKE_CASE  )
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      Tuple			     =   run_command(
          self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--command", self.command, "--debug"]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      Dict			     =   run_command(
          self.cmd
          + [
              "--config_file",
              "tests/test_configs/latest.yaml",
              "--command",
              self.command,
              "--command",
              "echo \"Hello World\"",
              "--debug",
          ]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; ls; echo \"Hello World\" --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      Tuple			     =   run_command(
          self.cmd
          + ["--config_file", "tests/test_configs/latest.yaml", "--command_file", self.command_file, "--debug"]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      Any			     =   run_command(
          self.cmd
          + [
              "--config_file",
              "tests/test_configs/0_12_0.yaml",
              "--command_file",
              self.command_file,
              "--tpu_zone",
              self.tpu_zone,
              "--tpu_name",
              self.tpu_name,
              "--debug",
          ]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; echo \"hello world\"; echo \"this is a second command\" --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)


   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      str			     =   run_command(
          self.cmd + ["--config_file", "tests/test_configs/latest.yaml", "--install_accelerate", "--debug"]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate -U; echo \"hello world\"; echo \"this is a second command\" --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)






   def 						_lowerCamelCase   ( self  ):





      """simple docstring"""





      _lowercase			:      List[Any]			     =   run_command(
          self.cmd
          + [
              "--config_file",
              "tests/test_configs/latest.yaml",
              "--install_accelerate",
              "--accelerate_version",
              "12.0.0",
              "--debug",
          ]			,				return_stdout=_SCREAMING_SNAKE_CASE			,				)
      self.assertIn(
          f'''{self.gcloud} test-tpu --zone us-central1-a --command {self.base_output}; pip install accelerate==12.0.0; echo \"hello world\"; echo \"this is a second command\" --worker all'''			,				_SCREAMING_SNAKE_CASE			,				)











"""simple docstring"""
from typing import TYPE_CHECKING

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


A:   str								=		{
    "configuration_distilbert": [
        "DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "DistilBertConfig",
        "DistilBertOnnxConfig",
    ],
    "tokenization_distilbert": ["DistilBertTokenizer"],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   Dict								=		["DistilBertTokenizerFast"]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   List[Any]								=		[
          "DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "DistilBertForMaskedLM",
          "DistilBertForMultipleChoice",
          "DistilBertForQuestionAnswering",
          "DistilBertForSequenceClassification",
          "DistilBertForTokenClassification",
          "DistilBertModel",
          "DistilBertPreTrainedModel",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   Dict								=		[
          "TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
          "TFDistilBertForMaskedLM",
          "TFDistilBertForMultipleChoice",
          "TFDistilBertForQuestionAnswering",
          "TFDistilBertForSequenceClassification",
          "TFDistilBertForTokenClassification",
          "TFDistilBertMainLayer",
          "TFDistilBertModel",
          "TFDistilBertPreTrainedModel",
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      A:   int								=		[
          "FlaxDistilBertForMaskedLM",
          "FlaxDistilBertForMultipleChoice",
          "FlaxDistilBertForQuestionAnswering",
          "FlaxDistilBertForSequenceClassification",
          "FlaxDistilBertForTokenClassification",
          "FlaxDistilBertModel",
          "FlaxDistilBertPreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_distilbert import (
          DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
          DistilBertConfig,
          DistilBertOnnxConfig,
      )
      from .tokenization_distilbert import DistilBertTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_distilbert_fast import DistilBertTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_distilbert import (
                DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                DistilBertForMaskedLM,
                DistilBertForMultipleChoice,
                DistilBertForQuestionAnswering,
                DistilBertForSequenceClassification,
                DistilBertForTokenClassification,
                DistilBertModel,
                DistilBertPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_distilbert import (
                TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFDistilBertForMaskedLM,
                TFDistilBertForMultipleChoice,
                TFDistilBertForQuestionAnswering,
                TFDistilBertForSequenceClassification,
                TFDistilBertForTokenClassification,
                TFDistilBertMainLayer,
                TFDistilBertModel,
                TFDistilBertPreTrainedModel,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_distilbert import (
                FlaxDistilBertForMaskedLM,
                FlaxDistilBertForMultipleChoice,
                FlaxDistilBertForQuestionAnswering,
                FlaxDistilBertForSequenceClassification,
                FlaxDistilBertForTokenClassification,
                FlaxDistilBertModel,
                FlaxDistilBertPreTrainedModel,
            )

else:
      import sys

      A:   Optional[int]								=		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
