




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

from tabulate import DataRow, TableFormat, tabulate


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


_UpperCAmelCase		:  Dict	=   []
_UpperCAmelCase		:  Optional[int]	=   []

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

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

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

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

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

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

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

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

               _UpperCAmelCase		:  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],
               )









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_UpperCAmelCase		:  List[str]	=   {
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  Optional[int]	=   ["BlenderbotTokenizerFast"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  int	=   [
         "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BlenderbotForCausalLM",
         "BlenderbotForConditionalGeneration",
         "BlenderbotModel",
         "BlenderbotPreTrainedModel",
     ]


try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  Any	=   [
         "TFBlenderbotForConditionalGeneration",
         "TFBlenderbotModel",
         "TFBlenderbotPreTrainedModel",
     ]


try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase		:  Optional[int]	=   [
         "FlaxBlenderbotForConditionalGeneration",
         "FlaxBlenderbotModel",
         "FlaxBlenderbotPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_blenderbot import (
         BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         BlenderbotConfig,
         BlenderbotOnnxConfig,
     )
     from .tokenization_blenderbot import BlenderbotTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_blenderbot import (
              BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BlenderbotForCausalLM,
              BlenderbotForConditionalGeneration,
              BlenderbotModel,
              BlenderbotPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_blenderbot import (
              TFBlenderbotForConditionalGeneration,
              TFBlenderbotModel,
              TFBlenderbotPreTrainedModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_blenderbot import (
              FlaxBlenderbotForConditionalGeneration,
              FlaxBlenderbotModel,
              FlaxBlenderbotPreTrainedModel,
          )

else:
     import sys

     _UpperCAmelCase		:  Union[str, Any]	=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



