


"""simple docstring"""





import subprocess
from argparse import ArgumentParser
from typing import List, Union

from huggingface_hub.hf_api import HfFolder, create_repo, whoami
from requests.exceptions import HTTPError

from . import BaseTransformersCLICommand

class  lowercase_  ( a_						):







      @staticmethod
      def 				_lowerCAmelCase       (      _lowercase :							ArgumentParser    ):
        lowerCAmelCase__    :    List[str]								=					parser.add_parser("login"		,  help="Log in using the same credentials as on huggingface.co"    )
        login_parser.set_defaults(func=lambda _lowercase    : LoginCommand(_lowercase    )    )
        lowerCAmelCase__    :    Any								=					parser.add_parser("whoami"		,  help="Find out which huggingface.co account you are logged in as."    )
        whoami_parser.set_defaults(func=lambda _lowercase    : WhoamiCommand(_lowercase    )    )
        lowerCAmelCase__    :    Any								=					parser.add_parser("logout"		,  help="Log out"    )
        logout_parser.set_defaults(func=lambda _lowercase    : LogoutCommand(_lowercase    )    )

        # new system: git-based repo system
        lowerCAmelCase__    :    str								=					parser.add_parser(
            "repo"		,  help="Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos."		,  )
        lowerCAmelCase__    :    Any								=					repo_parser.add_subparsers(
            help="Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands"    )
        lowerCAmelCase__    :    int								=					repo_subparsers.add_parser(
            "create"		,  help="Deprecated: use `huggingface-cli` instead. Create a new repo on huggingface.co"    )
        repo_create_parser.add_argument(
            "name"		,  type=_lowercase		,  help="Name for your model's repo. Will be namespaced under your username to build the model id."		,  )
        repo_create_parser.add_argument("--organization"		,  type=_lowercase		,  help="Optional: organization namespace."    )
        repo_create_parser.add_argument("-y"		,  "--yes"		,  action="store_true"		,  help="Optional: answer Yes to the prompt"    )
        repo_create_parser.set_defaults(func=lambda _lowercase    : RepoCreateCommand(_lowercase    )    )

class  lowercase_  :
      __magic_name__     :							Any          =				"""\u001b[1m"""
      __magic_name__     :							Dict          =				"""\u001b[31m"""
      __magic_name__     :							Optional[int]          =				"""\u001b[90m"""
      __magic_name__     :							Union[str, Any]          =				"""\u001b[0m"""







      @classmethod
      def 				_lowerCAmelCase       (      cls :							List[Any]		,  _lowercase :							List[Any]    ):
        return f"{cls._bold}{s}{cls._reset}"







      @classmethod
      def 				_lowerCAmelCase       (      cls :							Optional[int]		,  _lowercase :							List[str]    ):
        return f"{cls._bold}{cls._red}{s}{cls._reset}"







      @classmethod
      def 				_lowerCAmelCase       (      cls :							int		,  _lowercase :							Optional[int]    ):
        return f"{cls._gray}{s}{cls._reset}"





def     lowercase__	(  lowerCamelCase     :  List[List[Union[str, int]]]				,	lowerCamelCase     :  List[str]				)					->     str:
  lowerCAmelCase__    :    str								=					[max(len(str(lowerCamelCase				)				) for x in col				) for col in zip(*lowerCamelCase				,	lowerCamelCase				)]
  lowerCAmelCase__    :    Any								=					("{{:{}}} " * len(lowerCamelCase				)).format(*lowerCamelCase				)
  lowerCAmelCase__    :    Tuple								=					[]
  lines.append(row_format.format(*lowerCamelCase				)				)
  lines.append(row_format.format(*["-" * w for w in col_widths]				)				)
  for row in rows:
    lines.append(row_format.format(*lowerCamelCase				)				)
  return "\n".join(lowerCamelCase				)

class  lowercase_  :







      def __init__(      self :							Union[str, Any]		,  _lowercase :							Tuple    ):
        lowerCAmelCase__    :    int								=					args

class  lowercase_  ( a_						):







      def 				_lowerCAmelCase       (      self :							int    ):
        print(
            ANSI.red(
                "ERROR! `huggingface-cli login` uses an outdated login mechanism "
                "that is not compatible with the Hugging Face Hub backend anymore. "
                "Please use `huggingface-cli login instead."    )    )

class  lowercase_  ( a_						):







      def 				_lowerCAmelCase       (      self :							Optional[Any]    ):
        print(
            ANSI.red(
                "WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use "
                "`huggingface-cli whoami` instead."    )    )
        lowerCAmelCase__    :    List[Any]								=					HfFolder.get_token()
        if token is None:
          print("Not logged in"    )
          exit()
        try:
          lowerCAmelCase__				,		lowerCAmelCase__    :    Optional[Any]								=					whoami(_lowercase    )
          print(_lowercase    )
          if orgs:
            print(ANSI.bold("orgs: "    )		,  ",".join(_lowercase    )    )
        except HTTPError as e:
          print(_lowercase    )
          print(ANSI.red(e.response.text    )    )
          exit(1    )

class  lowercase_  ( a_						):







      def 				_lowerCAmelCase       (      self :							str    ):
        print(
            ANSI.red(
                "ERROR! `transformers-cli logout` uses an outdated logout mechanism "
                "that is not compatible with the Hugging Face Hub backend anymore. "
                "Please use `huggingface-cli logout instead."    )    )

class  lowercase_  ( a_						):







      def 				_lowerCAmelCase       (      self :							Dict    ):
        print(
            ANSI.red(
                "WARNING! Managing repositories through transformers-cli is deprecated. "
                "Please use `huggingface-cli` instead."    )    )
        lowerCAmelCase__    :    List[str]								=					HfFolder.get_token()
        if token is None:
          print("Not logged in"    )
          exit(1    )
        try:
          lowerCAmelCase__    :    str								=					subprocess.check_output(["git", "--version"]    ).decode("utf-8"    )
          print(ANSI.gray(stdout.strip()    )    )
        except FileNotFoundError:
          print("Looks like you do not have git installed, please install."    )

        try:
          lowerCAmelCase__    :    str								=					subprocess.check_output(["git-lfs", "--version"]    ).decode("utf-8"    )
          print(ANSI.gray(stdout.strip()    )    )
        except FileNotFoundError:
          print(
              ANSI.red(
                  "Looks like you do not have git-lfs installed, please install."
                  " You can install from https://git-lfs.github.com/."
                  " Then run `git lfs install` (you only have to do this once)."    )    )
        print(""    )

        lowerCAmelCase__				,		lowerCAmelCase__    :    Any								=					whoami(_lowercase    )
        lowerCAmelCase__    :    Tuple								=					self.args.organization if self.args.organization is not None else user
        lowerCAmelCase__    :    List[str]								=					f"{namespace}/{self.args.name}"
        print(f"You are about to create {ANSI.bold(_lowercase    )}"    )

        if not self.args.yes:
          lowerCAmelCase__    :    List[Any]								=					input("Proceed? [Y/n] "    ).lower()
          if not (choice == "" or choice == "y" or choice == "yes"):
            print("Abort"    )
            exit()
        try:
          lowerCAmelCase__    :    Tuple								=					create_repo(_lowercase		,  name=self.args.name		,  organization=self.args.organization    )
        except HTTPError as e:
          print(_lowercase    )
          print(ANSI.red(e.response.text    )    )
          exit(1    )
        print("\nYour repo now lives at:"    )
        print(f"  {ANSI.bold(_lowercase    )}"    )
        print("\nYou can clone it locally with the command below, and commit/push as usual."    )
        print(f"\n  git clone {url}"    )
        print(""    )




"""simple docstring"""





from typing import TYPE_CHECKING

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


__UpperCAmelCase    				=      {
    "configuration_layoutlm": ["LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "LayoutLMConfig", "LayoutLMOnnxConfig"],
    "tokenization_layoutlm": ["LayoutLMTokenizer"],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase    				=      ["LayoutLMTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase    				=      [
       "LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
       "LayoutLMForMaskedLM",
       "LayoutLMForSequenceClassification",
       "LayoutLMForTokenClassification",
       "LayoutLMForQuestionAnswering",
       "LayoutLMModel",
       "LayoutLMPreTrainedModel",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __UpperCAmelCase    				=      [
       "TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST",
       "TFLayoutLMForMaskedLM",
       "TFLayoutLMForSequenceClassification",
       "TFLayoutLMForTokenClassification",
       "TFLayoutLMForQuestionAnswering",
       "TFLayoutLMMainLayer",
       "TFLayoutLMModel",
       "TFLayoutLMPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig, LayoutLMOnnxConfig
   from .tokenization_layoutlm import LayoutLMTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_layoutlm_fast import LayoutLMTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_layoutlm import (
          LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
          LayoutLMForMaskedLM,
          LayoutLMForQuestionAnswering,
          LayoutLMForSequenceClassification,
          LayoutLMForTokenClassification,
          LayoutLMModel,
          LayoutLMPreTrainedModel,
      )
   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_layoutlm import (
          TF_LAYOUTLM_PRETRAINED_MODEL_ARCHIVE_LIST,
          TFLayoutLMForMaskedLM,
          TFLayoutLMForQuestionAnswering,
          TFLayoutLMForSequenceClassification,
          TFLayoutLMForTokenClassification,
          TFLayoutLMMainLayer,
          TFLayoutLMModel,
          TFLayoutLMPreTrainedModel,
      )

else:
   import sys

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