import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer




def     UpperCamelCase						(	__lowercase						:			int						,__lowercase						:			Optional[int]						,__lowercase						:			Dict						,__lowercase						:			List[Any]						,__lowercase						:			Union[str, Any]=True						,__lowercase						:			Tuple="pt"     ):
  '''simple docstring'''




  A_		:    List[str]         =				{'add_prefix_space': True} if isinstance(__lowercase						,__lowercase     ) and not line.startswith(' '     ) else {}
  A_		:    Tuple         =				padding_side
  return tokenizer(
      [line]						,max_length=__lowercase						,padding='max_length' if pad_to_max_length else None						,truncation=__lowercase						,return_tensors=__lowercase						,add_special_tokens=__lowercase						,**__lowercase						,)




def     UpperCamelCase						(	__lowercase						:			List[Any]						,__lowercase						:			str						,__lowercase						:			Tuple=None						,):
  '''simple docstring'''




  A_		:    Any         =				input_ids.ne(__lowercase     ).any(dim=0     )
  if attention_mask is None:
    return input_ids[:, keep_column_mask]
  else:
    return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])





class UpperCAmelCase						( __A  ):


    '''simple docstring'''






    def __init__(						self		,     lowercase		,     lowercase		,     lowercase		,     lowercase		,     lowercase="train"		,     lowercase=None		,     lowercase=None		,     lowercase=None		,     lowercase=""		,     ):



      """simple docstring"""





      super().__init__()
      A_		:    Dict         =				Path(lowercase ).joinpath(type_path + '.source' )
      A_		:    Tuple         =				Path(lowercase ).joinpath(type_path + '.target' )
      A_		:    Optional[int]         =				self.get_char_lens(self.src_file )
      A_		:    Any         =				max_source_length
      A_		:    Tuple         =				max_target_length
      assert min(self.src_lens ) > 0, F'''found empty line in {self.src_file}'''
      A_		:    List[Any]         =				tokenizer
      A_		:    Dict         =				prefix
      if n_obs is not None:
        A_		:    List[str]         =				self.src_lens[:n_obs]
      A_		:    Union[str, Any]         =				src_lang
      A_		:    Tuple         =				tgt_lang
    def __len__(						self ):



      """simple docstring"""





      return len(self.src_lens )
    def __getitem__(						self		,     lowercase ):



      """simple docstring"""





      A_		:    Union[str, Any]         =				index + 1  # linecache starts at 1
      A_		:    Dict         =				self.prefix + linecache.getline(str(self.src_file )		,     lowercase ).rstrip('\n' )
      A_		:    Tuple         =				linecache.getline(str(self.tgt_file )		,     lowercase ).rstrip('\n' )
      assert source_line, F'''empty source line for index {index}'''
      assert tgt_line, F'''empty tgt line for index {index}'''

      # Need to add eos token manually for T5
      if isinstance(self.tokenizer		,     lowercase ):
        source_line += self.tokenizer.eos_token
        tgt_line += self.tokenizer.eos_token

      # Pad source and target to the right
      A_		:    Optional[Any]         =				(
          self.tokenizer.question_encoder if isinstance(self.tokenizer		,     lowercase ) else self.tokenizer
      )
      A_		:    Any         =				self.tokenizer.generator if isinstance(self.tokenizer		,     lowercase ) else self.tokenizer

      A_		:    List[Any]         =				encode_line(lowercase		,     lowercase		,     self.max_source_length		,     'right' )
      A_		:    Dict         =				encode_line(lowercase		,     lowercase		,     self.max_target_length		,     'right' )

      A_		:    List[Any]         =				source_inputs['input_ids'].squeeze()
      A_		:    Union[str, Any]         =				target_inputs['input_ids'].squeeze()
      A_		:    Dict         =				source_inputs['attention_mask'].squeeze()
      return {
          "input_ids": source_ids,
          "attention_mask": src_mask,
          "decoder_input_ids": target_ids,
      }
    @staticmethod
    def   lowerCAmelCase_       (						lowercase ):



      """simple docstring"""





      return [len(lowercase ) for x in Path(lowercase ).open().readlines()]







    def   lowerCAmelCase_       (						self		,     lowercase ):



      """simple docstring"""





      A_		:    List[Any]         =				torch.stack([x['input_ids'] for x in batch] )
      A_		:    Tuple         =				torch.stack([x['attention_mask'] for x in batch] )
      A_		:    str         =				torch.stack([x['decoder_input_ids'] for x in batch] )
      A_		:    Optional[Any]         =				(
          self.tokenizer.generator.pad_token_id
          if isinstance(self.tokenizer		,     lowercase )
          else self.tokenizer.pad_token_id
      )
      A_		:    Optional[int]         =				(
          self.tokenizer.question_encoder.pad_token_id
          if isinstance(self.tokenizer		,     lowercase )
          else self.tokenizer.pad_token_id
      )
      A_		:    str         =				trim_batch(lowercase		,     lowercase )
      A_		:    Optional[int]         =				trim_batch(lowercase		,     lowercase		,     attention_mask=lowercase )
      A_		:    Tuple         =				{
          'input_ids': source_ids,
          'attention_mask': source_mask,
          'decoder_input_ids': y,
      }
      return batch

_UpperCAmelCase            =		getLogger(__name__)




def     UpperCamelCase						(	__lowercase						:			List[List]     ):
  '''simple docstring'''




  return list(itertools.chain.from_iterable(__lowercase     )     )




def     UpperCamelCase						(	__lowercase						:			str     ):
  '''simple docstring'''




  A_		:    Optional[int]         =				get_git_info()
  save_json(__lowercase						,os.path.join(__lowercase						,'git_log.json'     )     )




def     UpperCamelCase						(	__lowercase						:			Dict						,__lowercase						:			Tuple						,__lowercase						:			str=4						,**__lowercase						:			str     ):
  '''simple docstring'''




  with open(__lowercase						,'w'     ) as f:
    json.dump(__lowercase						,__lowercase						,indent=__lowercase						,**__lowercase     )




def     UpperCamelCase						(	__lowercase						:			Tuple     ):
  '''simple docstring'''




  with open(__lowercase     ) as f:
    return json.load(__lowercase     )




def     UpperCamelCase						(	):
  '''simple docstring'''




  A_		:    Optional[int]         =				git.Repo(search_parent_directories=__lowercase     )
  A_		:    Union[str, Any]         =				{
      'repo_id': str(__lowercase     ),
      'repo_sha': str(repo.head.object.hexsha     ),
      'repo_branch': str(repo.active_branch     ),
      'hostname': str(socket.gethostname()     ),
  }
  return repo_infos




def     UpperCamelCase						(	__lowercase						:			Callable						,__lowercase						:			Iterable     ):
  '''simple docstring'''




  return list(map(__lowercase						,__lowercase     )     )




def     UpperCamelCase						(	__lowercase						:			List[Any]						,__lowercase						:			Optional[int]     ):
  '''simple docstring'''




  with open(__lowercase						,'wb'     ) as f:
    return pickle.dump(__lowercase						,__lowercase     )




def     UpperCamelCase						(	__lowercase						:			Optional[int]     ):
  '''simple docstring'''




  def remove_articles(__lowercase						:			str     ):
    return re.sub(r'\b(a|an|the)\b'						,' '						,__lowercase     )

  def white_space_fix(__lowercase						:			Any     ):
    return " ".join(text.split()     )

  def remove_punc(__lowercase						:			List[str]     ):
    A_		:    Tuple         =				set(string.punctuation     )
    return "".join(ch for ch in text if ch not in exclude     )

  def lower(__lowercase						:			List[Any]     ):
    return text.lower()

  return white_space_fix(remove_articles(remove_punc(lower(__lowercase     )     )     )     )




def     UpperCamelCase						(	__lowercase						:			Dict						,__lowercase						:			str     ):
  '''simple docstring'''




  A_		:    int         =				normalize_answer(__lowercase     ).split()
  A_		:    List[Any]         =				normalize_answer(__lowercase     ).split()
  A_		:    List[str]         =				Counter(__lowercase     ) & Counter(__lowercase     )
  A_		:    List[Any]         =				sum(common.values()     )
  if num_same == 0:
    return 0
  A_		:    Any         =				1.0 * num_same / len(__lowercase     )
  A_		:    Tuple         =				1.0 * num_same / len(__lowercase     )
  A_		:    Any         =				(2 * precision * recall) / (precision + recall)
  return fa




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			int     ):
  '''simple docstring'''




  return normalize_answer(__lowercase     ) == normalize_answer(__lowercase     )




def     UpperCamelCase						(	__lowercase						:			List[str]						,__lowercase						:			List[str]     ):
  '''simple docstring'''




  assert len(__lowercase     ) == len(__lowercase     )
  A_		:    Any         =				0
  for hypo, pred in zip(__lowercase						,__lowercase     ):
    em += exact_match_score(__lowercase						,__lowercase     )
  if len(__lowercase     ) > 0:
    em /= len(__lowercase     )
  return {"em": em}




def     UpperCamelCase						(	__lowercase						:			str     ):
  '''simple docstring'''




  return model_prefix.startswith('rag'     )




def     UpperCamelCase						(	__lowercase						:			str						,__lowercase						:			Any						,__lowercase						:			Optional[int]     ):
  '''simple docstring'''




  A_		:    Any         =				{p: p for p in extra_params}
  # T5 models don't have `dropout` param, they have `dropout_rate` instead
  A_		:    List[str]         =				'dropout_rate'
  for p in extra_params:
    if getattr(__lowercase						,__lowercase						,__lowercase     ):
      if not hasattr(__lowercase						,__lowercase     ) and not hasattr(__lowercase						,equivalent_param[p]     ):
        logger.info('config doesn\'t have a `{}` attribute'.format(__lowercase     )     )
        delattr(__lowercase						,__lowercase     )
        continue
      A_		:    Dict         =				p if hasattr(__lowercase						,__lowercase     ) else equivalent_param[p]
      setattr(__lowercase						,__lowercase						,getattr(__lowercase						,__lowercase     )     )
      delattr(__lowercase						,__lowercase     )
  return hparams, config







import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402


_UpperCAmelCase            =		{
    """return_dict""": False,
    """output_hidden_states""": True,
    """output_attentions""": True,
    """torchscript""": True,
    """torch_dtype""": """float16""",
    """use_bfloat16""": True,
    """tf_legacy_loss""": True,
    """pruned_heads""": {"""a""": 1},
    """tie_word_embeddings""": False,
    """is_decoder""": True,
    """cross_attention_hidden_size""": 128,
    """add_cross_attention""": True,
    """tie_encoder_decoder""": True,
    """max_length""": 50,
    """min_length""": 3,
    """do_sample""": True,
    """early_stopping""": True,
    """num_beams""": 3,
    """num_beam_groups""": 3,
    """diversity_penalty""": 0.5,
    """temperature""": 2.0,
    """top_k""": 10,
    """top_p""": 0.7,
    """typical_p""": 0.2,
    """repetition_penalty""": 0.8,
    """length_penalty""": 0.8,
    """no_repeat_ngram_size""": 5,
    """encoder_no_repeat_ngram_size""": 5,
    """bad_words_ids""": [1, 2, 3],
    """num_return_sequences""": 3,
    """chunk_size_feed_forward""": 5,
    """output_scores""": True,
    """return_dict_in_generate""": True,
    """forced_bos_token_id""": 2,
    """forced_eos_token_id""": 3,
    """remove_invalid_values""": True,
    """architectures""": ["""BertModel"""],
    """finetuning_task""": """translation""",
    """id2label""": {0: """label"""},
    """label2id""": {"""label""": """0"""},
    """tokenizer_class""": """BertTokenizerFast""",
    """prefix""": """prefix""",
    """bos_token_id""": 6,
    """pad_token_id""": 7,
    """eos_token_id""": 8,
    """sep_token_id""": 9,
    """decoder_start_token_id""": 10,
    """exponential_decay_length_penalty""": (5, 1.01),
    """suppress_tokens""": [0, 1],
    """begin_suppress_tokens""": 2,
    """task_specific_params""": {"""translation""": """some_params"""},
    """problem_type""": """regression""",
}





@is_staging_test
class UpperCAmelCase						( unittest.TestCase  ):


				'''simple docstring'''






				@classmethod
				def   lowerCAmelCase_       (						cls ):



						"""simple docstring"""





						A_		:    Optional[int]         =				TOKEN
						HfFolder.save_token(lowercase )
				@classmethod
				def   lowerCAmelCase_       (						cls ):



						"""simple docstring"""





						try:
								delete_repo(token=cls._token		,     repo_id='test-config' )
						except HTTPError:
								pass

						try:
								delete_repo(token=cls._token		,     repo_id='valid_org/test-config-org' )
						except HTTPError:
								pass

						try:
								delete_repo(token=cls._token		,     repo_id='test-dynamic-config' )
						except HTTPError:
								pass
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				BertConfig(
						    vocab_size=9_9		,     hidden_size=3_2		,     num_hidden_layers=5		,     num_attention_heads=4		,     intermediate_size=3_7 )
						config.push_to_hub('test-config'		,     use_auth_token=self._token )

						A_		:    Dict         =				BertConfig.from_pretrained(F'''{USER}/test-config''' )
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase		,     getattr(lowercase		,     lowercase ) )

        # Reset repo
						delete_repo(token=self._token		,     repo_id='test-config' )

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
								config.save_pretrained(lowercase		,     repo_id='test-config'		,     push_to_hub=lowercase		,     use_auth_token=self._token )

						A_		:    Dict         =				BertConfig.from_pretrained(F'''{USER}/test-config''' )
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase		,     getattr(lowercase		,     lowercase ) )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[str]         =				BertConfig(
						    vocab_size=9_9		,     hidden_size=3_2		,     num_hidden_layers=5		,     num_attention_heads=4		,     intermediate_size=3_7 )
						config.push_to_hub('valid_org/test-config-org'		,     use_auth_token=self._token )

						A_		:    List[Any]         =				BertConfig.from_pretrained('valid_org/test-config-org' )
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase		,     getattr(lowercase		,     lowercase ) )

        # Reset repo
						delete_repo(token=self._token		,     repo_id='valid_org/test-config-org' )

						# Push to hub via save_pretrained
						with tempfile.TemporaryDirectory() as tmp_dir:
								config.save_pretrained(
								    lowercase		,     repo_id='valid_org/test-config-org'		,     push_to_hub=lowercase		,     use_auth_token=self._token )

						A_		:    Optional[Any]         =				BertConfig.from_pretrained('valid_org/test-config-org' )
						for k, v in config.to_dict().items():
								if k != "transformers_version":
										self.assertEqual(lowercase		,     getattr(lowercase		,     lowercase ) )







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						CustomConfig.register_for_auto_class()
						A_		:    Optional[int]         =				CustomConfig(attribute=4_2 )

						config.push_to_hub('test-dynamic-config'		,     use_auth_token=self._token )

						# This has added the proper auto_map field to the config
						self.assertDictEqual(config.auto_map		,     {'AutoConfig': 'custom_configuration.CustomConfig'} )

						A_		:    Optional[int]         =				AutoConfig.from_pretrained(F'''{USER}/test-dynamic-config'''		,     trust_remote_code=lowercase )
						# Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
						self.assertEqual(new_config.__class__.__name__		,     'CustomConfig' )
						self.assertEqual(new_config.attribute		,     4_2 )





class UpperCAmelCase						( unittest.TestCase  ):


				'''simple docstring'''






				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    int         =				GPTaConfig()

						# attempt to modify each of int/float/bool/str config records and verify they were updated
						A_		:    Optional[int]         =				c.n_embd + 1  # int
						A_		:    List[str]         =				c.resid_pdrop + 1.0  # float
						A_		:    str         =				not c.scale_attn_weights  # bool
						A_		:    Optional[int]         =				c.summary_type + 'foo'  # str
						c.update_from_string(
						    F'''n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}''' )
						self.assertEqual(lowercase		,     c.n_embd		,     'mismatch for key: n_embd' )
						self.assertEqual(lowercase		,     c.resid_pdrop		,     'mismatch for key: resid_pdrop' )
						self.assertEqual(lowercase		,     c.scale_attn_weights		,     'mismatch for key: scale_attn_weights' )
						self.assertEqual(lowercase		,     c.summary_type		,     'mismatch for key: summary_type' )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Optional[int]         =				PretrainedConfig()
						A_		:    int         =				[key for key in base_config.__dict__ if key not in config_common_kwargs]
						# If this part of the test fails, you have arguments to addin config_common_kwargs above.
						self.assertListEqual(
						    lowercase		,     ['is_encoder_decoder', '_name_or_path', '_commit_hash', 'transformers_version'] )
						A_		:    List[str]         =				[key for key, value in config_common_kwargs.items() if value == getattr(lowercase		,     lowercase )]
						if len(lowercase ) > 0:
								raise ValueError(
								    'The following keys are set with the default values in'
								    ' `test_configuration_common.config_common_kwargs` pick another value for them:'
								    F''' {', '.join(lowercase )}.''' )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						with self.assertRaises(lowercase ):
								# config is in subfolder, the following should not work without specifying the subfolder
								A_		:    Union[str, Any]         =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder' )

						A_		:    Optional[int]         =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert-subfolder'		,     subfolder='bert' )

						self.assertIsNotNone(lowercase )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    int         =				mock.Mock()
						A_		:    int         =				5_0_0
						A_		:    Union[str, Any]         =				{}
						A_		:    List[str]         =				HTTPError
						A_		:    List[Any]         =				{}

						# Download this model to make sure it's in the cache.
						A_		:    Tuple         =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert' )

						# Under the mock environment we get a 500 error when trying to reach the model.
						with mock.patch('requests.Session.request'		,     return_value=lowercase ) as mock_head:
								A_		:    Optional[int]         =				BertConfig.from_pretrained('hf-internal-testing/tiny-random-bert' )
								# This check we did call the fake head request
								mock_head.assert_called()
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Any         =				BertConfig.from_pretrained(
						    'https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json' )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    int         =				AutoConfig.from_pretrained('bert-base-cased' )
						A_		:    Tuple         =				['config.4.0.0.json']

						with tempfile.TemporaryDirectory() as tmp_dir:
								configuration.save_pretrained(lowercase )
								A_		:    Dict         =				2
								json.dump(configuration.to_dict()		,     open(os.path.join(lowercase		,     'config.4.0.0.json' )		,     'w' ) )

								# This should pick the new configuration file as the version of Transformers is > 4.0.0
								A_		:    Tuple         =				AutoConfig.from_pretrained(lowercase )
								self.assertEqual(new_configuration.hidden_size		,     2 )

								# Will need to be adjusted if we reach v42 and this test is still here.
								# Should pick the old configuration file as the version of Transformers is < 4.42.0
								A_		:    int         =				['config.42.0.0.json']
								A_		:    str         =				7_6_8
								configuration.save_pretrained(lowercase )
								shutil.move(os.path.join(lowercase		,     'config.4.0.0.json' )		,     os.path.join(lowercase		,     'config.42.0.0.json' ) )
								A_		:    str         =				AutoConfig.from_pretrained(lowercase )
								self.assertEqual(new_configuration.hidden_size		,     7_6_8 )







				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[Any]         =				'hf-internal-testing/test-two-configs'

						import transformers as new_transformers

						A_		:    List[Any]         =				'v4.0.0'
						A_       ,      A_		:    List[str]         =				new_transformers.models.auto.AutoConfig.from_pretrained(
						    lowercase		,     return_unused_kwargs=lowercase )
						self.assertEqual(new_configuration.hidden_size		,     2 )
						# This checks `_configuration_file` ia not kept in the kwargs by mistake.
						self.assertDictEqual(lowercase		,     {} )

						# Testing an older version by monkey-patching the version in the module it's used.
						import transformers as old_transformers

						A_		:    Optional[int]         =				'v3.0.0'
						A_		:    List[Any]         =				old_transformers.models.auto.AutoConfig.from_pretrained(lowercase )
						self.assertEqual(old_configuration.hidden_size		,     7_6_8 )






