
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 						UpperCAmelCase	(		A_				):



   @staticmethod
   def        _SCREAMING_SNAKE_CASE     (snake_case__	:      ArgumentParser				)	->			Union[str, Any]:


          '''simple docstring'''


          snake_case :     Optional[Any]           =   parser.add_parser("login"					,		help="Log in using the same credentials as on huggingface.co"				)
          login_parser.set_defaults(func=lambda snake_case__				: LoginCommand(snake_case__				)				)
          snake_case :     Dict           =   parser.add_parser("whoami"					,		help="Find out which huggingface.co account you are logged in as."				)
          whoami_parser.set_defaults(func=lambda snake_case__				: WhoamiCommand(snake_case__				)				)
          snake_case :     Optional[int]           =   parser.add_parser("logout"					,		help="Log out"				)
          logout_parser.set_defaults(func=lambda snake_case__				: LogoutCommand(snake_case__				)				)

          # new system: git-based repo system
          snake_case :     Tuple           =   parser.add_parser(
              "repo"					,		help="Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos."					,		)
          snake_case :     Optional[int]           =   repo_parser.add_subparsers(
              help="Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands"				)
          snake_case :     Optional[Any]           =   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=snake_case__					,		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=snake_case__					,		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 snake_case__				: RepoCreateCommand(snake_case__				)				)






class 						UpperCAmelCase	:
   A__      :	Optional[Any]		  =  "\u001b[1m"
   A__      :	List[str]		  =  "\u001b[31m"
   A__      :	Dict		  =  "\u001b[90m"
   A__      :	Optional[Any]		  =  "\u001b[0m"



   @classmethod
   def        _SCREAMING_SNAKE_CASE     (cls	:      str					,		snake_case__	:      Optional[int]				)	->			Optional[int]:


          '''simple docstring'''


          return f"""{cls._bold}{s}{cls._reset}"""



   @classmethod
   def        _SCREAMING_SNAKE_CASE     (cls	:      Optional[int]					,		snake_case__	:      List[str]				)	->			Optional[Any]:


          '''simple docstring'''


          return f"""{cls._bold}{cls._red}{s}{cls._reset}"""



   @classmethod
   def        _SCREAMING_SNAKE_CASE     (cls	:      List[Any]					,		snake_case__	:      Any				)	->			List[str]:


          '''simple docstring'''


          return f"""{cls._gray}{s}{cls._reset}"""



def     UpperCamelCase      (					__lowerCamelCase  :				List[List[Union[str, int]]]       ,      __lowerCamelCase  :				List[str]					):
       snake_case :     List[str]           =   [max(len(str(__lowerCamelCase					)					) for x in col					) for col in zip(*__lowerCamelCase       ,      __lowerCamelCase					)]
       snake_case :     Union[str, Any]           =   ("{{:{}}} " * len(__lowerCamelCase					)).format(*__lowerCamelCase					)
       snake_case :     int           =   []
       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 						UpperCAmelCase	:



   def __init__(self	:      int					,		snake_case__	:      str				)	->			Tuple:


          '''simple docstring'''


          snake_case :     Tuple           =   args






class 						UpperCAmelCase	(		A_				):



   def        _SCREAMING_SNAKE_CASE     (self	:      Optional[int]				)	->			int:


          '''simple docstring'''


          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 						UpperCAmelCase	(		A_				):



   def        _SCREAMING_SNAKE_CASE     (self	:      List[Any]				)	->			Union[str, Any]:


          '''simple docstring'''


          print(
              ANSI.red(
                  "WARNING! `transformers-cli whoami` is deprecated and will be removed in v5. Please use "
                  "`huggingface-cli whoami` instead."				)				)
          snake_case :     Dict           =   HfFolder.get_token()
          if token is None:
                 print("Not logged in"				)
                 exit()
          try:
                 snake_case       ,      snake_case :     int           =   whoami(snake_case__				)
                 print(snake_case__				)
                 if orgs:
                        print(ANSI.bold("orgs: "				)					,		",".join(snake_case__				)				)
          except HTTPError as e:
                 print(snake_case__				)
                 print(ANSI.red(e.response.text				)				)
                 exit(1				)






class 						UpperCAmelCase	(		A_				):



   def        _SCREAMING_SNAKE_CASE     (self	:      Any				)	->			Dict:


          '''simple docstring'''


          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 						UpperCAmelCase	(		A_				):



   def        _SCREAMING_SNAKE_CASE     (self	:      List[str]				)	->			Optional[Any]:


          '''simple docstring'''


          print(
              ANSI.red(
                  "WARNING! Managing repositories through transformers-cli is deprecated. "
                  "Please use `huggingface-cli` instead."				)				)
          snake_case :     Tuple           =   HfFolder.get_token()
          if token is None:
                 print("Not logged in"				)
                 exit(1				)
          try:
                 snake_case :     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:
                 snake_case :     Union[str, Any]           =   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(""				)

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

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







from transformers.models.cpm.tokenization_cpm import CpmTokenizer
from transformers.testing_utils import custom_tokenizers

from ..xlnet.test_modeling_xlnet import XLNetModelTest






@custom_tokenizers
class 						UpperCAmelCase	(		A_				):



   def        _SCREAMING_SNAKE_CASE     (self	:      List[str]					,		snake_case__	:      Dict					,		snake_case__	:      Tuple					,		snake_case__	:      Union[str, Any]					,		snake_case__	:      List[str]					,		snake_case__	:      List[Any]				)	->			Any:


          '''simple docstring'''


          return True



   def        _SCREAMING_SNAKE_CASE     (self	:      str				)	->			Dict:


          '''simple docstring'''


          snake_case :     Union[str, Any]           =   CpmTokenizer.from_pretrained("TsinghuaAI/CPM-Generate"				)
          snake_case :     str           =   "Hugging Face大法好，谁用谁知道。"
          snake_case :     Optional[Any]           =   "Hugging Face大法好,谁用谁知道。<unk>"
          snake_case :     int           =   "▁Hu gg ing ▁ ▂ ▁F ace ▁大法 ▁好 ▁ , ▁谁 ▁用 ▁谁 ▁知 道 ▁ 。".split()

          snake_case :     Union[str, Any]           =   tokenizer.tokenize(snake_case__				)
          self.assertListEqual(snake_case__					,		snake_case__				)

          snake_case :     Tuple           =   tokens + [tokenizer.unk_token]

          snake_case :     int           =   [1_37_89, 1_32_83, 14_21, 8, 10, 11_64, 1_36_08, 1_65_28, 63, 8, 9, 4_40, 1_08, 4_40, 1_21, 90, 8, 12, 0]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__				)					,		snake_case__				)

          snake_case :     Dict           =   tokenizer.decode(snake_case__				)
          self.assertEqual(snake_case__					,		snake_case__				)





