'''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 	__UpperCAmelCase				(				_UpperCamelCase     ):





       '''simple docstring'''



       @staticmethod
       def 					__A       (      _SCREAMING_SNAKE_CASE )		->     List[Any]:
           A_     =   parser.add_parser('''login'''    ,     help='''Log in using the same credentials as on huggingface.co''' )
           login_parser.set_defaults(func=lambda _SCREAMING_SNAKE_CASE : LoginCommand(_SCREAMING_SNAKE_CASE ) )
           A_     =   parser.add_parser('''whoami'''    ,     help='''Find out which huggingface.co account you are logged in as.''' )
           whoami_parser.set_defaults(func=lambda _SCREAMING_SNAKE_CASE : WhoamiCommand(_SCREAMING_SNAKE_CASE ) )
           A_     =   parser.add_parser('''logout'''    ,     help='''Log out''' )
           logout_parser.set_defaults(func=lambda _SCREAMING_SNAKE_CASE : LogoutCommand(_SCREAMING_SNAKE_CASE ) )

           # new system: git-based repo system
           A_     =   parser.add_parser(
               '''repo'''    ,     help='''Deprecated: use `huggingface-cli` instead. Commands to interact with your huggingface.co repos.'''    ,     )
           A_     =   repo_parser.add_subparsers(
               help='''Deprecated: use `huggingface-cli` instead. huggingface.co repos related commands''' )
           A_     =   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=_SCREAMING_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=_SCREAMING_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 _SCREAMING_SNAKE_CASE : RepoCreateCommand(_SCREAMING_SNAKE_CASE ) )




class 	__UpperCAmelCase				:





       '''simple docstring'''



       __lowercase					:					Union[str, Any]    =				'\u001b[1m'
       __lowercase					:					str    =				'\u001b[31m'
       __lowercase					:					List[str]    =				'\u001b[90m'
       __lowercase					:					List[str]    =				'\u001b[0m'

       @classmethod
       def 					__A       (      cls    ,     _SCREAMING_SNAKE_CASE )		->     List[str]:
           return F'''{cls._bold}{s}{cls._reset}'''

       @classmethod
       def 					__A       (      cls    ,     _SCREAMING_SNAKE_CASE )		->     int:
           return F'''{cls._bold}{cls._red}{s}{cls._reset}'''

       @classmethod
       def 					__A       (      cls    ,     _SCREAMING_SNAKE_CASE )		->     List[Any]:
           return F'''{cls._gray}{s}{cls._reset}'''





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




class 	__UpperCAmelCase				:





       '''simple docstring'''



       def __init__(      self    ,     _SCREAMING_SNAKE_CASE )		->     int:
           A_     =   args




class 	__UpperCAmelCase				(				_UpperCamelCase     ):





       '''simple docstring'''



       def 					__A       (      self )		->     Union[str, Any]:
           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				(				_UpperCamelCase     ):





       '''simple docstring'''



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




class 	__UpperCAmelCase				(				_UpperCamelCase     ):





       '''simple docstring'''



       def 					__A       (      self )		->     int:
           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				(				_UpperCamelCase     ):





       '''simple docstring'''



       def 					__A       (      self )		->     Dict:
           print(
               ANSI.red(
                   '''WARNING! Managing repositories through transformers-cli is deprecated. '''
                   '''Please use `huggingface-cli` instead.''' ) )
           A_     =   HfFolder.get_token()
           if token is None:
               print('''Not logged in''' )
               exit(1 )
           try:
               A_     =   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:
               A_     =   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('''''' )

           A_   ,A_     =   whoami(_SCREAMING_SNAKE_CASE )
           A_     =   self.args.organization if self.args.organization is not None else user
           A_     =   F'''{namespace}/{self.args.name}'''
           print(F'''You are about to create {ANSI.bold(_SCREAMING_SNAKE_CASE )}''' )

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







'''simple docstring'''




import bisect
import copy
from collections import defaultdict

import numpy as np
from torch.utils.data import BatchSampler, Sampler

from utils import logger





def      _UpperCAmelCase    (							_UpperCamelCase    :	Optional[Any],   _UpperCamelCase    :	int   )	->      Union[str, Any]:
    A_     =   copy.deepcopy(_UpperCamelCase   )
    A_     =   sorted(_UpperCamelCase   )
    A_     =   [bisect.bisect_right(_UpperCamelCase,   _UpperCamelCase   ) for y in x]
    return quantized





def      _UpperCAmelCase    (							_UpperCamelCase    :	str,   _UpperCamelCase    :	Tuple=0   )	->      str:
    A_     =   np.arange(start=3,   stop=_UpperCamelCase,   step=4   ).tolist() if k > 0 else [10]
    A_     =   _quantize(_UpperCamelCase,   _UpperCamelCase   )
    # count number of elements per group
    A_     =   np.unique(_UpperCamelCase,   return_counts=_UpperCamelCase   )[1]
    A_     =   [0] + bins + [np.inf]
    logger.info('''Using {} as bins for aspect lengths quantization'''.format(_UpperCamelCase   )   )
    logger.info('''Count of instances per bin: {}'''.format(_UpperCamelCase   )   )
    return groups




class 	__UpperCAmelCase				(				_UpperCamelCase     ):





       '''simple docstring'''



       def __init__(      self    ,     _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE )		->     Dict:
           if not isinstance(_SCREAMING_SNAKE_CASE    ,     _SCREAMING_SNAKE_CASE ):
               raise ValueError(
                   '''sampler should be an instance of torch.utils.data.Sampler, but got sampler={}'''.format(_SCREAMING_SNAKE_CASE ) )
           A_     =   sampler
           A_     =   group_ids
           A_     =   batch_size

       def __iter__(      self )		->     Tuple:
           A_     =   defaultdict(_SCREAMING_SNAKE_CASE )
           A_     =   defaultdict(_SCREAMING_SNAKE_CASE )

           A_     =   0
           for idx in self.sampler:
               A_     =   self.group_ids[idx]
               buffer_per_group[group_id].append(_SCREAMING_SNAKE_CASE )
               samples_per_group[group_id].append(_SCREAMING_SNAKE_CASE )
               if len(buffer_per_group[group_id] ) == self.batch_size:
                   yield buffer_per_group[group_id]  # TODO
                   num_batches += 1
                   del buffer_per_group[group_id]
               assert len(buffer_per_group[group_id] ) < self.batch_size

           # now we have run out of elements that satisfy
           # the group criteria, let's return the remaining
           # elements so that the size of the sampler is
           # deterministic
           A_     =   len(self )
           A_     =   expected_num_batches - num_batches
           if num_remaining > 0:
               # for the remaining batches, group the batches by similar lengths
               A_     =   []
               for group_id, idxs in sorted(buffer_per_group.items()    ,     key=lambda _SCREAMING_SNAKE_CASE : x[0] ):
                   batch_idx.extend(_SCREAMING_SNAKE_CASE )
                   if len(_SCREAMING_SNAKE_CASE ) >= self.batch_size:
                       yield batch_idx[: self.batch_size]
                       A_     =   batch_idx[self.batch_size :]
                       num_remaining -= 1
               if len(_SCREAMING_SNAKE_CASE ) > 0:
                   yield batch_idx
                   num_remaining -= 1
           assert num_remaining == 0

       def __len__(      self )		->     Optional[int]:
           return (len(self.sampler ) + self.batch_size - 1) // self.batch_size






