



'''simple docstring'''
import json
import os
import shutil
import warnings
from argparse import ArgumentParser, Namespace
from pathlib import Path
from typing import List

from ..utils import logging
from . import BaseTransformersCLICommand


try:
 from cookiecutter.main import cookiecutter

 UpperCamelCase__ =			True
except ImportError:
 UpperCamelCase__ =			False

UpperCamelCase__ =			logging.get_logger(__name__)  # pylint: disable=invalid-name




def 		__SCREAMING_SNAKE_CASE					(  _UpperCamelCase							):


   """simple docstring"""




   return AddNewModelCommand(args.testing						,		args.testing_file						,		path=args.path							)





class        _UpperCAmelCase						(		UpperCamelCase_			):




    @staticmethod
    def 				lowerCAmelCase__				(			a  :       Union[str, Any]			):






       '''simple docstring'''






       lowercase_	:    Optional[Any]           =     parser.add_parser("add-new-model"			)
       add_new_model_parser.add_argument("--testing"  ,     action="store_true"  ,     help="If in testing mode."			)
       add_new_model_parser.add_argument("--testing_file"  ,     type=__a  ,     help="Configuration file on which to run."			)
       add_new_model_parser.add_argument(
           "--path"  ,     type=__a  ,     help="Path to cookiecutter. Should only be used for testing purposes."			)
       add_new_model_parser.set_defaults(func=__a			)




    def __init__(			self  :       List[str]  ,     a  :       Dict  ,     a  :       Dict  ,     a  :       List[str]=None  ,     *a  :       List[Any]			):






       '''simple docstring'''






       lowercase_	:    Optional[int]           =     testing
       lowercase_	:    List[str]           =     testing_file
       lowercase_	:    Optional[Any]           =     path





    def 				lowerCAmelCase__				(			self  :       Optional[int]			):






       '''simple docstring'''






       warnings.warn(
           "The command `transformers-cli add-new-model` is deprecated and will be removed in v5 of Transformers. "
           "It is not actively maintained anymore, so might give a result that won\'t pass all tests and quality "
           "checks, you should use `transformers-cli add-new-model-like` instead."			)
       if not _has_cookiecutter:
          raise ImportError(
              "Model creation dependencies are required to use the `add_new_model` command. Install them by running "
              "the following at the root of your `transformers` clone:\n\n\t$ pip install -e .[modelcreation]\n"			)
       # Ensure that there is no other `cookiecutter-template-xxx` directory in the current working directory
       lowercase_	:    Any           =     [directory for directory in os.listdir() if 'cookiecutter-template-' == directory[:2_2]]
       if len(__a			) > 0:
          raise ValueError(
              "Several directories starting with `cookiecutter-template-` in current working directory. "
              "Please clean your directory by removing all folders starting with `cookiecutter-template-` or "
              "change your working directory."			)

       lowercase_	:    Union[str, Any]           =     (
           Path(__a			).parent.parent.parent.parent if self._path is None else Path(self._path			).parent.parent
       )
       lowercase_	:    str           =     path_to_transformer_root / 'templates' / 'adding_a_new_model'

       # Execute cookiecutter
       if not self._testing:
          cookiecutter(str(__a			)			)
       else:
          with open(self._testing_file  ,     "r"			) as configuration_file:
             lowercase_	:    List[Any]           =     json.load(__a			)

          cookiecutter(
              str(path_to_cookiecutter if self._path is None else self._path			)  ,     no_input=__a  ,     extra_context=__a  ,     )

       lowercase_	:    Union[str, Any]           =     [directory for directory in os.listdir() if 'cookiecutter-template-' in directory[:2_2]][0]

       # Retrieve configuration
       with open(directory + "/configuration.json"  ,     "r"			) as configuration_file:
          lowercase_	:    List[str]           =     json.load(__a			)

       lowercase_	:    Optional[Any]           =     configuration['lowercase_modelname']
       lowercase_	:    List[Any]           =     configuration['generate_tensorflow_pytorch_and_flax']
       os.remove(f"""{directory}/configuration.json"""			)

       lowercase_	:    str           =     'PyTorch' in generate_tensorflow_pytorch_and_flax
       lowercase_	:    str           =     'TensorFlow' in generate_tensorflow_pytorch_and_flax
       lowercase_	:    Any           =     'Flax' in generate_tensorflow_pytorch_and_flax

       lowercase_	:    Optional[Any]           =     f"""{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}"""
       os.makedirs(__a  ,     exist_ok=__a			)
       os.makedirs(f"""{path_to_transformer_root}/tests/models/{lowercase_model_name}"""  ,     exist_ok=__a			)

       # Tests require submodules as they have parent imports
       with open(f"""{path_to_transformer_root}/tests/models/{lowercase_model_name}/__init__.py"""  ,     "w"			):
          pass

       shutil.move(
           f"""{directory}/__init__.py"""  ,     f"""{model_dir}/__init__.py"""  ,     )
       shutil.move(
           f"""{directory}/configuration_{lowercase_model_name}.py"""  ,     f"""{model_dir}/configuration_{lowercase_model_name}.py"""  ,     )

       def remove_copy_lines(a  :       Any			):
          with open(__a  ,     "r"			) as f:
             lowercase_	:    Optional[int]           =     f.readlines()
          with open(__a  ,     "w"			) as f:
             for line in lines:
                if "# Copied from transformers." not in line:
                   f.write(__a			)

       if output_pytorch:
          if not self._testing:
             remove_copy_lines(f"""{directory}/modeling_{lowercase_model_name}.py"""			)

          shutil.move(
              f"""{directory}/modeling_{lowercase_model_name}.py"""  ,     f"""{model_dir}/modeling_{lowercase_model_name}.py"""  ,     )

          shutil.move(
              f"""{directory}/test_modeling_{lowercase_model_name}.py"""  ,     f"""{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_{lowercase_model_name}.py"""  ,     )
       else:
          os.remove(f"""{directory}/modeling_{lowercase_model_name}.py"""			)
          os.remove(f"""{directory}/test_modeling_{lowercase_model_name}.py"""			)

       if output_tensorflow:
          if not self._testing:
             remove_copy_lines(f"""{directory}/modeling_tf_{lowercase_model_name}.py"""			)

          shutil.move(
              f"""{directory}/modeling_tf_{lowercase_model_name}.py"""  ,     f"""{model_dir}/modeling_tf_{lowercase_model_name}.py"""  ,     )

          shutil.move(
              f"""{directory}/test_modeling_tf_{lowercase_model_name}.py"""  ,     f"""{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_tf_{lowercase_model_name}.py"""  ,     )
       else:
          os.remove(f"""{directory}/modeling_tf_{lowercase_model_name}.py"""			)
          os.remove(f"""{directory}/test_modeling_tf_{lowercase_model_name}.py"""			)

       if output_flax:
          if not self._testing:
             remove_copy_lines(f"""{directory}/modeling_flax_{lowercase_model_name}.py"""			)

          shutil.move(
              f"""{directory}/modeling_flax_{lowercase_model_name}.py"""  ,     f"""{model_dir}/modeling_flax_{lowercase_model_name}.py"""  ,     )

          shutil.move(
              f"""{directory}/test_modeling_flax_{lowercase_model_name}.py"""  ,     f"""{path_to_transformer_root}/tests/models/{lowercase_model_name}/test_modeling_flax_{lowercase_model_name}.py"""  ,     )
       else:
          os.remove(f"""{directory}/modeling_flax_{lowercase_model_name}.py"""			)
          os.remove(f"""{directory}/test_modeling_flax_{lowercase_model_name}.py"""			)

       shutil.move(
           f"""{directory}/{lowercase_model_name}.md"""  ,     f"""{path_to_transformer_root}/docs/source/en/model_doc/{lowercase_model_name}.md"""  ,     )

       shutil.move(
           f"""{directory}/tokenization_{lowercase_model_name}.py"""  ,     f"""{model_dir}/tokenization_{lowercase_model_name}.py"""  ,     )

       shutil.move(
           f"""{directory}/tokenization_fast_{lowercase_model_name}.py"""  ,     f"""{model_dir}/tokenization_{lowercase_model_name}_fast.py"""  ,     )

       from os import fdopen, remove
       from shutil import copymode, move
       from tempfile import mkstemp

       def replace(a  :       Union[str, Any]  ,     a  :       str  ,     a  :       Tuple			):
          # Create temp file
          lowercase_	:    Any           =     mkstemp()
          lowercase_	:    Any           =     False
          with fdopen(__a  ,     "w"			) as new_file:
             with open(__a			) as old_file:
                for line in old_file:
                   new_file.write(__a			)
                   if line_to_copy_below in line:
                      lowercase_	:    Union[str, Any]           =     True
                      for line_to_copy in lines_to_copy:
                         new_file.write(__a			)

          if not line_found:
             raise ValueError(f"""Line {line_to_copy_below} was not found in file."""			)

          # Copy the file permissions from the old file to the new file
          copymode(__a  ,     __a			)
          # Remove original file
          remove(__a			)
          # Move new file
          move(__a  ,     __a			)

       def skip_units(a  :       Tuple			):
          return (
              ("generating PyTorch" in line and not output_pytorch)
              or ("generating TensorFlow" in line and not output_tensorflow)
              or ("generating Flax" in line and not output_flax)
          )

       def replace_in_files(a  :       Any			):
          with open(__a			) as datafile:
             lowercase_	:    Optional[Any]           =     []
             lowercase_	:    Optional[int]           =     False
             lowercase_	:    List[Any]           =     False
             for line in datafile:
                if "# To replace in: " in line and "##" not in line:
                   lowercase_	:    Optional[int]           =     line.split("\""			)[1]
                   lowercase_	:    Dict           =     skip_units(__a			)
                elif "# Below: " in line and "##" not in line:
                   lowercase_	:    Optional[Any]           =     line.split("\""			)[1]
                   lowercase_	:    Union[str, Any]           =     skip_units(__a			)
                elif "# End." in line and "##" not in line:
                   if not skip_file and not skip_snippet:
                      replace(__a  ,     __a  ,     __a			)

                   lowercase_	:    List[Any]           =     []
                elif "# Replace with" in line and "##" not in line:
                   lowercase_	:    List[str]           =     []
                elif "##" not in line:
                   lines_to_copy.append(__a			)

          remove(__a			)

       replace_in_files(f"""{directory}/to_replace_{lowercase_model_name}.py"""			)
       os.rmdir(__a			)












'''simple docstring'''
# limitations under the License.

# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works

from .pipelines import DiffusionPipeline, ImagePipelineOutput  # noqa: F401
from .utils import deprecate


deprecate(
    'pipelines_utils',
    '0.22.0',
    'Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.',
    standard_warn=False,
    stacklevel=3,
)




