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

      A   :     Union[str, Any]       =				True
except ImportError:
      A   :     Any       =				False

A   :     Optional[int]       =				logging.get_logger(__name__)  # pylint: disable=invalid-name


def    a__       (						__UpperCamelCase ):
      return AddNewModelCommand(args.testing   ,					args.testing_file   ,					path=args.path )





class      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
  """simple docstring"""







  @staticmethod
  def       __A   (							__magic_name__       :				ArgumentParser      )     ->		Optional[Any]:
        SCREAMING_SNAKE_CASE_      =     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=__magic_name__     ,   help="Configuration file on which to run."      )
        add_new_model_parser.add_argument(
            "--path"     ,   type=__magic_name__     ,   help="Path to cookiecutter. Should only be used for testing purposes."      )
        add_new_model_parser.set_defaults(func=__magic_name__      )







  def __init__(							self       :				Optional[int]     ,   __magic_name__       :				bool     ,   __magic_name__       :				str     ,   __magic_name__       :				Optional[int]=None     ,   *__magic_name__       :				Optional[Any]      )     ->		Union[str, Any]:
        SCREAMING_SNAKE_CASE_      =     testing
        SCREAMING_SNAKE_CASE_      =     testing_file
        SCREAMING_SNAKE_CASE_      =     path







  def       __A   (							self       :				Union[str, Any]      )     ->		Optional[Any]:
        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
        SCREAMING_SNAKE_CASE_      =     [directory for directory in os.listdir() if "cookiecutter-template-" == directory[:22]]
        if len(__magic_name__      ) > 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."      )

        SCREAMING_SNAKE_CASE_      =     (
            Path(__magic_name__      ).parent.parent.parent.parent if self._path is None else Path(self._path      ).parent.parent
        )
        SCREAMING_SNAKE_CASE_      =     path_to_transformer_root / "templates" / "adding_a_new_model"

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

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

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

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

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

        SCREAMING_SNAKE_CASE_      =     "PyTorch" in generate_tensorflow_pytorch_and_flax
        SCREAMING_SNAKE_CASE_      =     "TensorFlow" in generate_tensorflow_pytorch_and_flax
        SCREAMING_SNAKE_CASE_      =     "Flax" in generate_tensorflow_pytorch_and_flax

        SCREAMING_SNAKE_CASE_      =     F'''{path_to_transformer_root}/src/transformers/models/{lowercase_model_name}'''
        os.makedirs(__magic_name__     ,   exist_ok=__magic_name__      )
        os.makedirs(F'''{path_to_transformer_root}/tests/models/{lowercase_model_name}'''     ,   exist_ok=__magic_name__      )

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

        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(__magic_name__       :				str     ,   __magic_name__       :				str     ,   __magic_name__       :				List[str]      ):
              # Create temp file
              SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     mkstemp()
              SCREAMING_SNAKE_CASE_      =     False
              with fdopen(__magic_name__     ,   "w"      ) as new_file:
                    with open(__magic_name__      ) as old_file:
                          for line in old_file:
                                new_file.write(__magic_name__      )
                                if line_to_copy_below in line:
                                      SCREAMING_SNAKE_CASE_      =     True
                                      for line_to_copy in lines_to_copy:
                                            new_file.write(__magic_name__      )

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

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

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

              remove(__magic_name__      )

        replace_in_files(F'''{directory}/to_replace_{lowercase_model_name}.py'''      )
        os.rmdir(__magic_name__      )



def    a__       (						__UpperCamelCase ):
      if n == 1 or not isinstance(__UpperCamelCase   ,					__UpperCamelCase ):
            return 0
      elif n == 2:
            return 1
      else:
            SCREAMING_SNAKE_CASE_      =     [0, 1]
            for i in range(2   ,					n + 1 ):
                  sequence.append(sequence[i - 1] + sequence[i - 2] )

            return sequence[n]


def    a__       (						__UpperCamelCase ):
      SCREAMING_SNAKE_CASE_      =     0
      SCREAMING_SNAKE_CASE_      =     2

      while digits < n:
            index += 1
            SCREAMING_SNAKE_CASE_      =     len(str(fibonacci(__UpperCamelCase ) ) )

      return index


def    a__       (						__UpperCamelCase = 1_0_0_0 ):
      return fibonacci_digits_index(__UpperCamelCase )


if __name__ == "__main__":
      print(solution(int(str(input()).strip())))


