


'''simple docstring'''

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

from tabulate import DataRow, TableFormat, tabulate


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


a_						:       Dict      			=				[]
a_						:       Tuple      			=				[]

a_						:       Optional[Any]      			=				{"""type""": """section""", """text""": {"""type""": """plain_text""", """text""": """No failed tests! 🤗""", """emoji""": True}}

a_						:       Dict      			=				[
    {
        """type""": """header""",
        """text""": {
            """type""": """plain_text""",
            """text""": f'''🤗 Accelerate nightly {os.environ.get('TEST_TYPE', '')} test results''',
            """emoji""": True,
        },
    }
]

a_						:       Optional[Any]      			=				0
for log in Path().glob("""*.log"""):
     a_						:       List[str]      			=				0
     with open(log, """r""") as f:
          for line in f:
               a_						:       int      			=				json.loads(line)
               if line.get("""nodeid""", """""") != "":
                    a_						:       List[str]      			=				line["""nodeid"""]
                    if line.get("""duration""", None) is not None:
                         a_						:       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])
     a_						:       Any      			=				[]
     log.unlink()

a_						:       str      			=				""""""
a_						:       Tuple      			=				[]
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"
               a_						:       int      			=				[]
               a_						:       Optional[int]      			=				{}
               for test in failed_tests:
                    a_						:       Any      			=				test[0].split("""::""")
                    a_						:       Union[str, Any]      			=				data[0].split("""/""")[-1]
                    if data[0] not in filesafailed:
                         a_						:       List[str]      			=				[data[1:]]
                    else:
                         filesafailed[data[0]] += [data[1:]]
                    failed_table.append(data)

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

               a_						:       Dict      			=				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) > 3000:
          a_						:       Union[str, Any]      			=				"""Too many failed tests, please see the full report in the Action results."""
          a_						:       List[str]      			=				len(err) + 10
          a_						:       Tuple      			=				message[: 3000 - offset] + f'''\n...\n```\n{err}'''
     print(f'''### {message}''')
else:
     a_						:       Optional[Any]      			=				"""No failed tests! 🤗"""
     print(f'''## {message}''')
     payload.append(no_error_payload)

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

     a_						:       Any      			=				WebClient(token=os.environ["""SLACK_API_TOKEN"""])
     if message != "No failed tests! 🤗":
          a_						:       str      			=				{
              """type""": """section""",
              """text""": {
                  """type""": """mrkdwn""",
                  """text""": message,
              },
          }
          payload.append(md_report)
          a_						:       Dict      			=				{
              """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)
          a_						:       List[str]      			=				{
              """type""": """context""",
              """elements""": [
                  {
                      """type""": """plain_text""",
                      """text""": f'''Nightly {os.environ.get('TEST_TYPE')} test results for {date.today()}''',
                  }
              ],
          }
          payload.append(date_report)
     a_						:       Optional[Any]      			=				client.chat_postMessage(channel="""#accelerate-ci-daily""", text=message, blocks=payload)
     a_						:       List[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
               a_						:       Optional[Any]      			=				""""""
               for i, row in enumerate(test_failures):
                    if row[0] != test_class:
                         a_						:       Optional[int]      			=				row[0]
                    else:
                         a_						:       Dict      			=				""""""

               a_						:       Optional[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],
               )







'''simple docstring'''

import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


a_						:       Dict      			=				logging.get_logger(__name__)

a_						:       List[Any]      			=				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

a_						:       Optional[Any]      			=				{
    """tokenizer_file""": {
        """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json""",
    },
}

a_						:       str      			=				{
    """gpt-neox-20b""": 2048,
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]






  def __init__(					self    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase=False    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   super().__init__(
       UpperCamelCase    ,						UpperCamelCase    ,						tokenizer_file=UpperCamelCase    ,						unk_token=UpperCamelCase    ,						bos_token=UpperCamelCase    ,						eos_token=UpperCamelCase    ,						add_prefix_space=UpperCamelCase    ,						**UpperCamelCase    ,						)

   lowerCamelCase_  				=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
   if pre_tok_state.get("add_prefix_space"    ,						UpperCamelCase  ) != add_prefix_space:
    lowerCamelCase_  				=						getattr(UpperCamelCase    ,						pre_tok_state.pop("type"  )  )
    lowerCamelCase_  				=						add_prefix_space
    lowerCamelCase_  				=						pre_tok_class(**UpperCamelCase  )

   lowerCamelCase_  				=						add_prefix_space






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						self._tokenizer.model.save(UpperCamelCase    ,						name=UpperCamelCase  )
   return tuple(UpperCamelCase  )







  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						[]
   for is_user, text in conversation.iter_texts():
    input_ids.extend(self.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  ) + [self.eos_token_id]  )

   if len(UpperCamelCase  ) > self.model_max_length:
    lowerCamelCase_  				=						input_ids[-self.model_max_length :]
   return input_ids



