





# Copyright 2023 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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case 				=       {
    """configuration_mgp_str""": ["""MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MgpstrConfig"""],
    """processing_mgp_str""": ["""MgpstrProcessor"""],
    """tokenization_mgp_str""": ["""MgpstrTokenizer"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      snake_case 				=       [
          """MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """MgpstrModel""",
          """MgpstrPreTrainedModel""",
          """MgpstrForSceneTextRecognition""",
      ]

if TYPE_CHECKING:
      from .configuration_mgp_str import MGP_STR_PRETRAINED_CONFIG_ARCHIVE_MAP, MgpstrConfig
      from .processing_mgp_str import MgpstrProcessor
      from .tokenization_mgp_str import MgpstrTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_mgp_str import (
                MGP_STR_PRETRAINED_MODEL_ARCHIVE_LIST,
                MgpstrForSceneTextRecognition,
                MgpstrModel,
                MgpstrPreTrainedModel,
            )
else:
      import sys

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






def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :str			,							snake_case__  :int     )      ->						list[str]:
  return [sentence[i : i + ngram_size] for i in range(len(snake_case__     ) - ngram_size + 1     )]


if __name__ == "__main__":
      from doctest import testmod

      testmod()