"""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

       __lowerCAmelCase    :       int					     =True
except ImportError:
       __lowerCAmelCase    :       Any					     =False

__lowerCAmelCase    :       List[str]					     =logging.get_logger(__name__)  # pylint: disable=invalid-name


def 			UpperCAmelCase__       (				lowerCAmelCase__     :Namespace		) ->    Tuple:
      '''simple docstring'''


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






class  _A						(       lowerCAmelCase	):

      @staticmethod
      def 				A__       (						__lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	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=__lowerCAmelCase		,       help="""Configuration file on which to run."""						)
            add_new_model_parser.add_argument(
                """--path"""		,       type=__lowerCAmelCase		,       help="""Path to cookiecutter. Should only be used for testing purposes."""						)
            add_new_model_parser.set_defaults(func=__lowerCAmelCase						)

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase=None		,       *__lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	testing
            lowercase														=	testing_file
            lowercase														=	path







      def 				A__       (						self						):







            """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														=	[directory for directory in os.listdir() if """cookiecutter-template-""" == directory[:22]]
            if len(__lowerCAmelCase						) > 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														=	(
                Path(__lowerCAmelCase						).parent.parent.parent.parent if self._path is None else Path(self._path						).parent.parent
            )
            lowercase														=	path_to_transformer_root / """templates""" / """adding_a_new_model"""

            # Execute cookiecutter
            if not self._testing:
                  cookiecutter(str(__lowerCAmelCase						)						)
            else:
                  with open(self._testing_file		,       """r"""						) as configuration_file:
                        lowercase														=	json.load(__lowerCAmelCase						)

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

            lowercase														=	[directory for directory in os.listdir() if """cookiecutter-template-""" in directory[:22]][0]

            # Retrieve configuration
            with open(directory + """/configuration.json"""		,       """r"""						) as configuration_file:
                  lowercase														=	json.load(__lowerCAmelCase						)

            lowercase														=	configuration["""lowercase_modelname"""]
            lowercase														=	configuration["""generate_tensorflow_pytorch_and_flax"""]
            os.remove(f'{directory}/configuration.json'						)

            lowercase														=	"""PyTorch""" in generate_tensorflow_pytorch_and_flax
            lowercase														=	"""TensorFlow""" in generate_tensorflow_pytorch_and_flax
            lowercase														=	"""Flax""" in generate_tensorflow_pytorch_and_flax

            lowercase														=	f'{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'
            os.makedirs(__lowerCAmelCase		,       exist_ok=__lowerCAmelCase						)
            os.makedirs(f'{path_to_transformer_root}/tests/models/{lowercase_model_name}'		,       exist_ok=__lowerCAmelCase						)

            # 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(__lowerCAmelCase						):
                  with open(__lowerCAmelCase		,       """r"""						) as f:
                        lowercase														=	f.readlines()
                  with open(__lowerCAmelCase		,       """w"""						) as f:
                        for line in lines:
                              if "# Copied from transformers." not in line:
                                    f.write(__lowerCAmelCase						)

            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(__lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase						):
                  # Create temp file
                  lowercase							,							lowercase														=	mkstemp()
                  lowercase														=	False
                  with fdopen(__lowerCAmelCase		,       """w"""						) as new_file:
                        with open(__lowerCAmelCase						) as old_file:
                              for line in old_file:
                                    new_file.write(__lowerCAmelCase						)
                                    if line_to_copy_below in line:
                                          lowercase														=	True
                                          for line_to_copy in lines_to_copy:
                                                new_file.write(__lowerCAmelCase						)

                  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(__lowerCAmelCase		,       __lowerCAmelCase						)
                  # Remove original file
                  remove(__lowerCAmelCase						)
                  # Move new file
                  move(__lowerCAmelCase		,       __lowerCAmelCase						)

            def skip_units(__lowerCAmelCase						):
                  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(__lowerCAmelCase						):
                  with open(__lowerCAmelCase						) as datafile:
                        lowercase														=	[]
                        lowercase														=	False
                        lowercase														=	False
                        for line in datafile:
                              if "# To replace in: " in line and "##" not in line:
                                    lowercase														=	line.split("""\""""						)[1]
                                    lowercase														=	skip_units(__lowerCAmelCase						)
                              elif "# Below: " in line and "##" not in line:
                                    lowercase														=	line.split("""\""""						)[1]
                                    lowercase														=	skip_units(__lowerCAmelCase						)
                              elif "# End." in line and "##" not in line:
                                    if not skip_file and not skip_snippet:
                                          replace(__lowerCAmelCase		,       __lowerCAmelCase		,       __lowerCAmelCase						)

                                    lowercase														=	[]
                              elif "# Replace with" in line and "##" not in line:
                                    lowercase														=	[]
                              elif "##" not in line:
                                    lines_to_copy.append(__lowerCAmelCase						)

                  remove(__lowerCAmelCase						)

            replace_in_files(f'{directory}/to_replace_{lowercase_model_name}.py'						)
            os.rmdir(__lowerCAmelCase						)




"""simple docstring"""






from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
       from ..models.auto import AutoTokenizer





class  _A						:

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            raise NotImplementedError()







      def 				A__       (						self						):







            """simple docstring"""



            raise NotImplementedError()






class  _A						(       lowerCAmelCase	):

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False		,       **__lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	tokenizer
            lowercase														=	skip_prompt
            lowercase														=	decode_kwargs

            # variables used in the streaming process
            lowercase														=	[]
            lowercase														=	0
            lowercase														=	True

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if len(value.shape						) > 1 and value.shape[0] > 1:
                  raise ValueError("""TextStreamer only supports batch size 1"""						)
            elif len(value.shape						) > 1:
                  lowercase														=	value[0]

            if self.skip_prompt and self.next_tokens_are_prompt:
                  lowercase														=	False
                  return

            # Add the new token to the cache and decodes the entire thing.
            self.token_cache.extend(value.tolist()						)
            lowercase														=	self.tokenizer.decode(self.token_cache		,       **self.decode_kwargs						)

            # After the symbol for a new line, we flush the cache.
            if text.endswith("""\n"""						):
                  lowercase														=	text[self.print_len :]
                  lowercase														=	[]
                  lowercase														=	0
            # If the last token is a CJK character, we print the characters.
            elif len(__lowerCAmelCase						) > 0 and self._is_chinese_char(ord(text[-1]						)						):
                  lowercase														=	text[self.print_len :]
                  self.print_len += len(__lowerCAmelCase						)
            # Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
            # which may change with the subsequent token -- there are probably smarter ways to do this!)
            else:
                  lowercase														=	text[self.print_len : text.rfind(""" """						) + 1]
                  self.print_len += len(__lowerCAmelCase						)

            self.on_finalized_text(__lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



            if len(self.token_cache						) > 0:
                  lowercase														=	self.tokenizer.decode(self.token_cache		,       **self.decode_kwargs						)
                  lowercase														=	text[self.print_len :]
                  lowercase														=	[]
                  lowercase														=	0
            else:
                  lowercase														=	""""""

            lowercase														=	True
            self.on_finalized_text(__lowerCAmelCase		,       stream_end=__lowerCAmelCase						)

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False						):







            """simple docstring"""



            print(__lowerCAmelCase		,       flush=__lowerCAmelCase		,       end="""""" if not stream_end else None						)







      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if (
                (cp >= 0X4_e00 and cp <= 0X9_fff)
                or (cp >= 0X3_400 and cp <= 0X4_dbf)  #
                or (cp >= 0X20_000 and cp <= 0X2a_6df)  #
                or (cp >= 0X2a_700 and cp <= 0X2b_73f)  #
                or (cp >= 0X2b_740 and cp <= 0X2b_81f)  #
                or (cp >= 0X2b_820 and cp <= 0X2c_eaf)  #
                or (cp >= 0Xf_900 and cp <= 0Xf_aff)
                or (cp >= 0X2f_800 and cp <= 0X2f_a1f)  #
            ):  #
                  return True

            return False






class  _A						(       lowerCAmelCase	):

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False		,       __lowerCAmelCase = None		,       **__lowerCAmelCase						):







            """simple docstring"""



            super().__init__(__lowerCAmelCase		,       __lowerCAmelCase		,       **__lowerCAmelCase						)
            lowercase														=	Queue()
            lowercase														=	None
            lowercase														=	timeout

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False						):







            """simple docstring"""



            self.text_queue.put(__lowerCAmelCase		,       timeout=self.timeout						)
            if stream_end:
                  self.text_queue.put(self.stop_signal		,       timeout=self.timeout						)

      def __iter__(						self						):







            """simple docstring"""



            return self







      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.text_queue.get(timeout=self.timeout						)
            if value == self.stop_signal:
                  raise StopIteration()
            else:
                  return value



