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

from tabulate import DataRow, TableFormat, tabulate


lowercase_ 				=			TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("""""", """|""", """|"""),
    datarow=DataRow("""""", """|""", """|"""),
    padding=1,
    with_header_hide=None,
)


lowercase_ 				=			[]
lowercase_ 				=			[]

lowercase_ 				=			{"""type""": """section""", """text""": {"""type""": """plain_text""", """text""": """No failed tests! 🤗""", """emoji""": True}}

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

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

lowercase_ 				=			""""""
lowercase_ 				=			[]
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"
         lowercase_ 				=			[]
         lowercase_ 				=			{}
         for test in failed_tests:
            lowercase_ 				=			test[0].split("""::""")
            lowercase_ 				=			data[0].split("""/""")[-1]
            if data[0] not in filesafailed:
               lowercase_ 				=			[data[1:]]
            else:
               filesafailed[data[0]] += [data[1:]]
            failed_table.append(data)

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

         lowercase_ 				=			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:
      lowercase_ 				=			"""Too many failed tests, please see the full report in the Action results."""
      lowercase_ 				=			len(err) + 10
      lowercase_ 				=			message[: 3_000 - offset] + f'''\n...\n```\n{err}'''
   print(f'''### {message}''')
else:
   lowercase_ 				=			"""No failed tests! 🤗"""
   print(f'''## {message}''')
   payload.append(no_error_payload)

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

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

         lowercase_ 				=			{
             """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'''

from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase__		:     Tuple			=							{'configuration_mmbt': ['MMBTConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowercase__		:     int			=							['MMBTForClassification', 'MMBTModel', 'ModalEmbeddings']


if TYPE_CHECKING:
   from .configuration_mmbt import MMBTConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
   import sys

   lowercase__		:     List[Any]			=							_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



