


import json
import os
from datetime import date
from pathlib import Path

from tabulate import DataRow, TableFormat, tabulate


SCREAMING_SNAKE_CASE						:List[Any]			=  TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow('''''', '''|''', '''|'''),
    datarow=DataRow('''''', '''|''', '''|'''),
    padding=1,
    with_header_hide=None,
)


SCREAMING_SNAKE_CASE						:Any			=  []
SCREAMING_SNAKE_CASE						:List[Any]			=  []

SCREAMING_SNAKE_CASE						:str			=  {'''type''': '''section''', '''text''': {'''type''': '''plain_text''', '''text''': '''No failed tests! 🤗''', '''emoji''': True}}

SCREAMING_SNAKE_CASE						:List[str]			=  [
    {
        '''type''': '''header''',
        '''text''': {
            '''type''': '''plain_text''',
            '''text''': F'''🤗 Accelerate nightly {os.environ.get('TEST_TYPE', '')} test results''',
            '''emoji''': True,
        },
    }
]

SCREAMING_SNAKE_CASE						:int			=  0
for log in Path().glob('''*.log'''):
   SCREAMING_SNAKE_CASE						:Tuple			=  0
   with open(log, '''r''') as f:
      for line in f:
         SCREAMING_SNAKE_CASE						:Union[str, Any]			=  json.loads(line)
         if line.get('''nodeid''', '''''') != "":
            SCREAMING_SNAKE_CASE						:Optional[int]			=  line['''nodeid''']
            if line.get('''duration''', None) is not None:
               SCREAMING_SNAKE_CASE						:Optional[Any]			=  F'''{line['duration']:.4f}'''
               if line.get('''outcome''', '''''') == "failed":
                  section_num_failed += 1
                  failed.append([test, duration, log.name.split('''_''')[0]])
                  total_num_failed += 1
   group_info.append([str(log), section_num_failed, failed])
   SCREAMING_SNAKE_CASE						:Union[str, Any]			=  []
   log.unlink()

SCREAMING_SNAKE_CASE						:Optional[Any]			=  ''''''
SCREAMING_SNAKE_CASE						:int			=  []
if total_num_failed > 0:
   for name, num_failed, failed_tests in group_info:
      if num_failed > 0:
         if num_failed == 1:
            message += F"*{name[1:]}: {num_failed} failed test*\n"
         else:
            message += F"*{name[1:]}: {num_failed} failed tests*\n"
         SCREAMING_SNAKE_CASE						:List[str]			=  []
         SCREAMING_SNAKE_CASE						:Dict			=  {}
         for test in failed_tests:
            SCREAMING_SNAKE_CASE						:Union[str, Any]			=  test[0].split('''::''')
            SCREAMING_SNAKE_CASE						:int			=  data[0].split('''/''')[-1]
            if data[0] not in filesafailed:
               SCREAMING_SNAKE_CASE						:Optional[Any]			=  [data[1:]]
            else:
               filesafailed[data[0]] += [data[1:]]
            failed_table.append(data)

         SCREAMING_SNAKE_CASE						:List[str]			=  [test[0] for test in failed_table]
         SCREAMING_SNAKE_CASE						:List[Any]			=  list(set(files))
         # Count number of instances in failed_tests
         SCREAMING_SNAKE_CASE						:Tuple			=  []
         for file in individual_files:
            table.append([file, len(filesafailed[file])])

         SCREAMING_SNAKE_CASE						:int			=  tabulate(
             table,
             headers=['''Test Location''', '''Num Failed'''],
             tablefmt=hf_table_format,
             stralign='''right''',
         )
         message += F"\n```\n{failed_table}\n```"
         all_filesafailed.append(filesafailed)
   if len(message) > 30_00:
      SCREAMING_SNAKE_CASE						:Optional[int]			=  '''Too many failed tests, please see the full report in the Action results.'''
      SCREAMING_SNAKE_CASE						:int			=  len(err) + 10
      SCREAMING_SNAKE_CASE						:List[str]			=  message[: 30_00 - offset] + F'''\n...\n```\n{err}'''
   print(F'''### {message}''')
else:
   SCREAMING_SNAKE_CASE						:Optional[int]			=  '''No failed tests! 🤗'''
   print(F'''## {message}''')
   payload.append(no_error_payload)

if os.environ.get('''TEST_TYPE''', '''''') != "":
   from slack_sdk import WebClient

   SCREAMING_SNAKE_CASE						:int			=  WebClient(token=os.environ['''SLACK_API_TOKEN'''])
   if message != "No failed tests! 🤗":
      SCREAMING_SNAKE_CASE						:Union[str, Any]			=  {
          '''type''': '''section''',
          '''text''': {
              '''type''': '''mrkdwn''',
              '''text''': message,
          },
      }
      payload.append(md_report)
      SCREAMING_SNAKE_CASE						:Union[str, Any]			=  {
          '''type''': '''section''',
          '''text''': {
              '''type''': '''mrkdwn''',
              '''text''': '''*For more details:*''',
          },
          '''accessory''': {
              '''type''': '''button''',
              '''text''': {
                  '''type''': '''plain_text''',
                  '''text''': '''Check Action results''',
                  '''emoji''': True,
              },
              '''url''': F'''https://github.com/{os.environ['GITHUB_REPOSITORY']}/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
          },
      }
      payload.append(action_button)
      SCREAMING_SNAKE_CASE						:int			=  {
          '''type''': '''context''',
          '''elements''': [
              {
                  '''type''': '''plain_text''',
                  '''text''': F'''Nightly {os.environ.get('TEST_TYPE')} test results for {date.today()}''',
              }
          ],
      }
      payload.append(date_report)
   SCREAMING_SNAKE_CASE						:Tuple			=  client.chat_postMessage(channel='''#accelerate-ci-daily''', text=message, blocks=payload)
   SCREAMING_SNAKE_CASE						:Optional[Any]			=  response.data['''ts''']
   for failed_file in all_filesafailed:
      for test_location, test_failures in failed_file.items():
         # Keep only the first instance of the test name
         SCREAMING_SNAKE_CASE						:int			=  ''''''
         for i, row in enumerate(test_failures):
            if row[0] != test_class:
               SCREAMING_SNAKE_CASE						:Dict			=  row[0]
            else:
               SCREAMING_SNAKE_CASE						:Optional[Any]			=  ''''''

         SCREAMING_SNAKE_CASE						:List[Any]			=  {
             '''type''': '''section''',
             '''text''': {
                 '''type''': '''mrkdwn''',
                 '''text''': F'''Test location: {test_location}\n```\n{tabulate(test_failures, headers=['Class', 'Test'], tablefmt=hf_table_format, stralign='right')}\n```''',
             },
         }

         client.chat_postMessage(
             channel='''#accelerate-ci-daily''',
             thread_ts=ts,
             blocks=[payload],
         )








import functools
import operator

from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE						:List[str]			=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:Dict			=  {
    '''facebook/wav2vec2-base-960h''': '''https://huggingface.co/facebook/wav2vec2-base-960h/resolve/main/config.json''',
    # See all Wav2Vec2 models at https://huggingface.co/models?filter=wav2vec2
}


class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							'wav2vec2'



  def __init__(  self							:							Any     ,					_lowerCAmelCase							:							Optional[Any]=3_2     ,					_lowerCAmelCase							:							List[Any]=7_6_8     ,					_lowerCAmelCase							:							Dict=1_2     ,					_lowerCAmelCase							:							Tuple=1_2     ,					_lowerCAmelCase							:							Optional[int]=3_0_7_2     ,					_lowerCAmelCase							:							Any="gelu"     ,					_lowerCAmelCase							:							List[str]=0.1     ,					_lowerCAmelCase							:							Dict=0.1     ,					_lowerCAmelCase							:							Union[str, Any]=0.1     ,					_lowerCAmelCase							:							Dict=0.0     ,					_lowerCAmelCase							:							Optional[int]=0.0     ,					_lowerCAmelCase							:							List[Any]=0.1     ,					_lowerCAmelCase							:							List[Any]=0.1     ,					_lowerCAmelCase							:							Dict=0.02     ,					_lowerCAmelCase							:							Any=1e-5     ,					_lowerCAmelCase							:							Any="group"     ,					_lowerCAmelCase							:							Union[str, Any]="gelu"     ,					_lowerCAmelCase							:							str=(5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2, 5_1_2)     ,					_lowerCAmelCase							:							Optional[Any]=(5, 2, 2, 2, 2, 2, 2)     ,					_lowerCAmelCase							:							Optional[Any]=(1_0, 3, 3, 3, 3, 2, 2)     ,					_lowerCAmelCase							:							int=False     ,					_lowerCAmelCase							:							int=1_2_8     ,					_lowerCAmelCase							:							Union[str, Any]=1_6     ,					_lowerCAmelCase							:							Union[str, Any]=False     ,					_lowerCAmelCase							:							List[Any]=True     ,					_lowerCAmelCase							:							Dict=0.05     ,					_lowerCAmelCase							:							List[str]=1_0     ,					_lowerCAmelCase							:							Tuple=2     ,					_lowerCAmelCase							:							str=0.0     ,					_lowerCAmelCase							:							Union[str, Any]=1_0     ,					_lowerCAmelCase							:							int=0     ,					_lowerCAmelCase							:							Optional[int]=3_2_0     ,					_lowerCAmelCase							:							Optional[Any]=2     ,					_lowerCAmelCase							:							str=0.1     ,					_lowerCAmelCase							:							Optional[Any]=1_0_0     ,					_lowerCAmelCase							:							Tuple=2_5_6     ,					_lowerCAmelCase							:							Union[str, Any]=2_5_6     ,					_lowerCAmelCase							:							Union[str, Any]=0.1     ,					_lowerCAmelCase							:							Optional[Any]="sum"     ,					_lowerCAmelCase							:							List[str]=False     ,					_lowerCAmelCase							:							List[Any]=False     ,					_lowerCAmelCase							:							List[str]=2_5_6     ,					_lowerCAmelCase							:							List[Any]=(5_1_2, 5_1_2, 5_1_2, 5_1_2, 1_5_0_0)     ,					_lowerCAmelCase							:							List[str]=(5, 3, 3, 1, 1)     ,					_lowerCAmelCase							:							Union[str, Any]=(1, 2, 3, 1, 1)     ,					_lowerCAmelCase							:							Optional[Any]=5_1_2     ,					_lowerCAmelCase							:							Any=0     ,					_lowerCAmelCase							:							Optional[int]=1     ,					_lowerCAmelCase							:							List[str]=2     ,					_lowerCAmelCase							:							Tuple=False     ,					_lowerCAmelCase							:							Any=3     ,					_lowerCAmelCase							:							List[Any]=2     ,					_lowerCAmelCase							:							Optional[Any]=3     ,					_lowerCAmelCase							:							List[str]=None     ,					_lowerCAmelCase							:							str=None     ,					**_lowerCAmelCase							:							Tuple     ,					) ->			Optional[int]:




     """simple docstring"""
     super().__init__(**_lowerCAmelCase     ,					pad_token_id=_lowerCAmelCase     ,					bos_token_id=_lowerCAmelCase     ,					eos_token_id=_lowerCAmelCase	)
     snake_case_            =       hidden_size
     snake_case_            =       feat_extract_norm
     snake_case_            =       feat_extract_activation
     snake_case_            =       list(_lowerCAmelCase	)
     snake_case_            =       list(_lowerCAmelCase	)
     snake_case_            =       list(_lowerCAmelCase	)
     snake_case_            =       conv_bias
     snake_case_            =       num_conv_pos_embeddings
     snake_case_            =       num_conv_pos_embedding_groups
     snake_case_            =       len(self.conv_dim	)
     snake_case_            =       num_hidden_layers
     snake_case_            =       intermediate_size
     snake_case_            =       hidden_act
     snake_case_            =       num_attention_heads
     snake_case_            =       hidden_dropout
     snake_case_            =       attention_dropout
     snake_case_            =       activation_dropout
     snake_case_            =       feat_proj_dropout
     snake_case_            =       final_dropout
     snake_case_            =       layerdrop
     snake_case_            =       layer_norm_eps
     snake_case_            =       initializer_range
     snake_case_            =       vocab_size
     snake_case_            =       do_stable_layer_norm
     snake_case_            =       use_weighted_layer_sum

     if (
         (len(self.conv_stride	) != self.num_feat_extract_layers)
         or (len(self.conv_kernel	) != self.num_feat_extract_layers)
         or (len(self.conv_dim	) != self.num_feat_extract_layers)
     ):
        raise ValueError(
            "Configuration for convolutional layers is incorrect. It is required that `len(config.conv_dim)` =="
            " `len(config.conv_stride)` == `len(config.conv_kernel)`, but is `len(config.conv_dim) ="
            F''' {len(self.conv_dim	)}`, `len(config.conv_stride) = {len(self.conv_stride	)}`,'''
            F''' `len(config.conv_kernel) = {len(self.conv_kernel	)}`.'''	)

     # fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
     snake_case_            =       apply_spec_augment
     snake_case_            =       mask_time_prob
     snake_case_            =       mask_time_length
     snake_case_            =       mask_time_min_masks
     snake_case_            =       mask_feature_prob
     snake_case_            =       mask_feature_length
     snake_case_            =       mask_feature_min_masks

     # parameters for pretraining with codevector quantized representations
     snake_case_            =       num_codevectors_per_group
     snake_case_            =       num_codevector_groups
     snake_case_            =       contrastive_logits_temperature
     snake_case_            =       feat_quantizer_dropout
     snake_case_            =       num_negatives
     snake_case_            =       codevector_dim
     snake_case_            =       proj_codevector_dim
     snake_case_            =       diversity_loss_weight

     # ctc loss
     snake_case_            =       ctc_loss_reduction
     snake_case_            =       ctc_zero_infinity

     # adapter
     snake_case_            =       add_adapter
     snake_case_            =       adapter_kernel_size
     snake_case_            =       adapter_stride
     snake_case_            =       num_adapter_layers
     snake_case_            =       output_hidden_size or hidden_size
     snake_case_            =       adapter_attn_dim

     # SequenceClassification-specific parameter. Feel free to ignore for other classes.
     snake_case_            =       classifier_proj_size

     # XVector-specific parameters. Feel free to ignore for other classes.
     snake_case_            =       list(_lowerCAmelCase	)
     snake_case_            =       list(_lowerCAmelCase	)
     snake_case_            =       list(_lowerCAmelCase	)
     snake_case_            =       xvector_output_dim



  @property
  def        lowerCAmelCase__	(  self							:							str	) ->			int:




     """simple docstring"""
     return functools.reduce(operator.mul     ,					self.conv_stride     ,					1	)




