





"""simple docstring"""
import baseaa
import io
import json
import os
from copy import deepcopy

from ..optimizer import AcceleratedOptimizer
from ..scheduler import AcceleratedScheduler






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				int:





             """simple docstring"""






             if isinstance(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							):
                   # Don't modify user's data should they want to reuse it (e.g. in tests), because once we
                   # modified it, it will not be accepted here again, since `auto` values would have been overridden
                   __SCREAMING_SNAKE_CASE       :Optional[int]		    =  deepcopy(SCREAMING_SNAKE_CASE__							)
             elif os.path.exists(SCREAMING_SNAKE_CASE__							):
                   with io.open(SCREAMING_SNAKE_CASE__		,'''r'''		,encoding='''utf-8'''							) as f:
                         __SCREAMING_SNAKE_CASE       :Dict		    =  json.load(SCREAMING_SNAKE_CASE__							)
             else:
                   try:
                         __SCREAMING_SNAKE_CASE       :str		    =  baseaa.urlsafe_baadecode(SCREAMING_SNAKE_CASE__							).decode('''utf-8'''							)
                         __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  json.loads(SCREAMING_SNAKE_CASE__							)
                   except (UnicodeDecodeError, AttributeError, ValueError):
                         raise ValueError(
                             f'''Expected a string path to an existing deepspeed config, or a dictionary, or a base64 encoded string. Received: {config_file_or_dict}'''							)

             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  config

             self.set_stage_and_offload()




       def    _UpperCamelCase					(						self							)      ->				Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  self.get_value('''zero_optimization.stage'''		,-1							)

             # offload
             __SCREAMING_SNAKE_CASE       :Any		    =  False
             if self.is_zeroa() or self.is_zeroa():
                   __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  set(['''cpu''', '''nvme''']							)
                   __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  set(
                       [
                           self.get_value('''zero_optimization.offload_optimizer.device'''							),
                           self.get_value('''zero_optimization.offload_param.device'''							),
                       ]							)
                   if len(offload_devices & offload_devices_valid							) > 0:
                         __SCREAMING_SNAKE_CASE       :int		    =  True




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Any		    =  self.config

             # find the config node of interest if it exists
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  ds_key_long.split('''.'''							)
             __SCREAMING_SNAKE_CASE       :List[str]		    =  nodes.pop()
             for node in nodes:
                   __SCREAMING_SNAKE_CASE       :Dict		    =  config.get(SCREAMING_SNAKE_CASE__							)
                   if config is None:
                         return None, ds_key

             return config, ds_key




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=None							)      ->				Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE    ,__SCREAMING_SNAKE_CASE       :Optional[Any]		    =  self.find_config_node(SCREAMING_SNAKE_CASE__							)
             if config is None:
                   return default
             return config.get(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=False							)      ->				int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  self.config

             # find the config node of interest if it exists
             __SCREAMING_SNAKE_CASE       :str		    =  ds_key_long.split('''.'''							)
             for node in nodes:
                   __SCREAMING_SNAKE_CASE       :Any		    =  config
                   __SCREAMING_SNAKE_CASE       :int		    =  config.get(SCREAMING_SNAKE_CASE__							)
                   if config is None:
                         if must_exist:
                               raise ValueError(f'''Can\'t find {ds_key_long} entry in the config: {self.config}'''							)
                         else:
                               return

        # if found remove it
             if parent_config is not None:
                   parent_config.pop(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :int		    =  self.get_value(SCREAMING_SNAKE_CASE__							)
             return False if value is None else bool(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :str		    =  self.get_value(SCREAMING_SNAKE_CASE__							)
             return False if value is None else not bool(SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				List[str]:





             """simple docstring"""






             return self._stage == 2




       def    _UpperCamelCase					(						self							)      ->				List[Any]:





             """simple docstring"""






             return self._stage == 3




       def    _UpperCamelCase					(						self							)      ->				Union[str, Any]:





             """simple docstring"""






             return self._offload






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				Optional[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[int]		    =  engine




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)      ->				List[Any]:





             """simple docstring"""






             self.engine.backward(SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)

             # Deepspeed's `engine.step` performs the following operations:
             # - gradient accumulation check
             # - gradient clipping
             # - optimizer step
             # - zero grad
             # - checking overflow
             # - lr_scheduler step (only if engine.lr_scheduler is not None)
             self.engine.step()
             # and this plugin overrides the above calls with no-ops when Accelerate runs under
             # Deepspeed, but allows normal functionality for non-Deepspeed cases thus enabling a simple
             # training loop that works transparently under many training regimes.






class  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             super().__init__(SCREAMING_SNAKE_CASE__		,device_placement=SCREAMING_SNAKE_CASE__		,scaler=SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE       :int		    =  hasattr(self.optimizer		,'''overflow'''							)




       def    _UpperCamelCase					(						self		,SCREAMING_SNAKE_CASE__=None							)      ->				Union[str, Any]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




       def    _UpperCamelCase					(						self							)      ->				Union[str, Any]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed




       @property
       def    _UpperCamelCase					(						self							)      ->				Dict:





             """simple docstring"""






             if self.__has_overflow__:
                   return self.optimizer.overflow
             return False






class  _SCREAMING_SNAKE_CASE(       A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)      ->				Optional[int]:





             """simple docstring"""






             super().__init__(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							)




       def    _UpperCamelCase					(						self							)      ->				Optional[int]:





             """simple docstring"""






             pass  # `accelerator.backward(loss)` is doing that automatically. Therefore, its implementation is not needed






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=0.0_0_1		,SCREAMING_SNAKE_CASE__=0		,**SCREAMING_SNAKE_CASE__							)      ->				List[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Optional[Any]		    =  params
             __SCREAMING_SNAKE_CASE       :str		    =  lr
             __SCREAMING_SNAKE_CASE       :str		    =  weight_decay
             __SCREAMING_SNAKE_CASE       :int		    =  kwargs






class  _SCREAMING_SNAKE_CASE:




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=None		,SCREAMING_SNAKE_CASE__=0		,**SCREAMING_SNAKE_CASE__							)      ->				str:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE       :Dict		    =  optimizer
             __SCREAMING_SNAKE_CASE       :Union[str, Any]		    =  total_num_steps
             __SCREAMING_SNAKE_CASE       :Any		    =  warmup_num_steps
             __SCREAMING_SNAKE_CASE       :int		    =  kwargs






"""simple docstring"""
import json
import os
from datetime import date
from pathlib import Path

from tabulate import DataRow, TableFormat, tabulate


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


lowerCamelCase_       =		[]
lowerCamelCase_       =		[]

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

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

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

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

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

      lowerCamelCase_       =		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_0_0_0:
    lowerCamelCase_       =		"Too many failed tests, please see the full report in the Action results."
    lowerCamelCase_       =		len(err) + 1_0
    lowerCamelCase_       =		message[: 3_0_0_0 - offset] + f'\n...\n```\n{err}'
  print(f'### {message}')
else:
  lowerCamelCase_       =		"No failed tests! 🤗"
  print(f'## {message}')
  payload.append(no_error_payload)

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

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

      lowerCamelCase_       =		{
          "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],
      )