


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

from tabulate import DataRow, TableFormat, tabulate


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


SCREAMING_SNAKE_CASE__					:     Dict       =     []
SCREAMING_SNAKE_CASE__					:     Any       =     []

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

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

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

   SCREAMING_SNAKE_CASE__					:     List[Any]       =     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) > 3_000:
  SCREAMING_SNAKE_CASE__					:     List[str]       =     'Too many failed tests, please see the full report in the Action results.'
  SCREAMING_SNAKE_CASE__					:     Any       =     len(err) + 10
  SCREAMING_SNAKE_CASE__					:     List[str]       =     message[: 3_000 - offset] + F'\n...\n```\n{err}'
 print(F'### {message}')
else:
 SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     '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__					:     Optional[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__					:     List[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__					:     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)
 SCREAMING_SNAKE_CASE__					:     Tuple       =     client.chat_postMessage(channel='#accelerate-ci-daily', text=message, blocks=payload)
 SCREAMING_SNAKE_CASE__					:     str       =     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__					:     Any       =     ''
   for i, row in enumerate(test_failures):
    if row[0] != test_class:
     SCREAMING_SNAKE_CASE__					:     Optional[int]       =     row[0]
    else:
     SCREAMING_SNAKE_CASE__					:     List[str]       =     ''

   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],
   )









# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.




def    a__    (		snake_case__					:							Dict     ):
  _UpperCAmelCase		:							str							=     [False] * len(snake_case__     )
  _UpperCAmelCase		:							str							=     [-1] * len(snake_case__     )

  def dfs(snake_case__					:							Dict						,   snake_case__					:							Optional[Any]     ):
    _UpperCAmelCase		:							str							=     True
    _UpperCAmelCase		:							Optional[Any]							=     c
    for u in graph[v]:
      if not visited[u]:
        dfs(snake_case__						,   1 - c     )

  for i in range(len(snake_case__     )     ):
    if not visited[i]:
      dfs(snake_case__						,   0     )

  for i in range(len(snake_case__     )     ):
    for j in graph[i]:
      if color[i] == color[j]:
        return False

  return True


# Adjacency list of graph
SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}





print(check_bipartite_dfs(graph))





