
from typing import TYPE_CHECKING

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


lowercase_      							=       {
    '''configuration_clip''': [
        '''CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPConfig''',
        '''CLIPOnnxConfig''',
        '''CLIPTextConfig''',
        '''CLIPVisionConfig''',
    ],
    '''processing_clip''': ['''CLIPProcessor'''],
    '''tokenization_clip''': ['''CLIPTokenizer'''],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_      							=       ['''CLIPTokenizerFast''']

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_      							=       ['''CLIPFeatureExtractor''']
   lowercase_      							=       ['''CLIPImageProcessor''']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_      							=       [
       '''CLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''CLIPModel''',
       '''CLIPPreTrainedModel''',
       '''CLIPTextModel''',
       '''CLIPTextModelWithProjection''',
       '''CLIPVisionModel''',
       '''CLIPVisionModelWithProjection''',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_      							=       [
       '''TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
       '''TFCLIPModel''',
       '''TFCLIPPreTrainedModel''',
       '''TFCLIPTextModel''',
       '''TFCLIPVisionModel''',
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase_      							=       [
       '''FlaxCLIPModel''',
       '''FlaxCLIPPreTrainedModel''',
       '''FlaxCLIPTextModel''',
       '''FlaxCLIPTextPreTrainedModel''',
       '''FlaxCLIPVisionModel''',
       '''FlaxCLIPVisionPreTrainedModel''',
   ]


if TYPE_CHECKING:
   from .configuration_clip import (
       CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
       CLIPConfig,
       CLIPOnnxConfig,
       CLIPTextConfig,
       CLIPVisionConfig,
   )
   from .processing_clip import CLIPProcessor
   from .tokenization_clip import CLIPTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_clip_fast import CLIPTokenizerFast

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_clip import CLIPFeatureExtractor
      from .image_processing_clip import CLIPImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_clip import (
          CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
          CLIPModel,
          CLIPPreTrainedModel,
          CLIPTextModel,
          CLIPTextModelWithProjection,
          CLIPVisionModel,
          CLIPVisionModelWithProjection,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_clip import (
          TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFCLIPModel,
          TFCLIPPreTrainedModel,
          TFCLIPTextModel,
          TFCLIPVisionModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_clip import (
          FlaxCLIPModel,
          FlaxCLIPPreTrainedModel,
          FlaxCLIPTextModel,
          FlaxCLIPTextPreTrainedModel,
          FlaxCLIPVisionModel,
          FlaxCLIPVisionPreTrainedModel,
      )


else:
   import sys

   lowercase_      							=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser




def       _snake_case	(   ):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		int				      =    ArgumentParser("Accelerate CLI tool"   , usage="accelerate <command> [<args>]"   , allow_abbrev=lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		Optional[int]				      =    parser.add_subparsers(help="accelerate command helpers"	)

		# Register commands
		get_config_parser(subparsers=lowerCAmelCase	)
		env_command_parser(subparsers=lowerCAmelCase	)
		launch_command_parser(subparsers=lowerCAmelCase	)
		tpu_command_parser(subparsers=lowerCAmelCase	)
		test_command_parser(subparsers=lowerCAmelCase	)

		# Let's go
		SCREAMING_SNAKE_CASE_  :		Dict				      =    parser.parse_args()

		if not hasattr(lowerCAmelCase   , "func"	):
				parser.print_help()
				exit(1	)

		# Run
		args.func(lowerCAmelCase	)


if __name__ == "__main__":
		main()
