




import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class        __snake_case  (_a		):
				lowerCAmelCase__				=     ["image_processor", "tokenizer"]
				lowerCAmelCase__				=     "ViTImageProcessor"
				lowerCAmelCase__				=     ("CLIPTokenizer", "CLIPTokenizerFast")



				def __init__(      self      :		List[str]		,	_UpperCAmelCase      :		Tuple=None		,	_UpperCAmelCase      :		Tuple=None		,	**_UpperCAmelCase      :		Optional[Any]      )  ->    Optional[Any]:





								'''simple docstring'''




								_lowerCAmelCase    :    int										=      None
								if "feature_extractor" in kwargs:
												warnings.warn(
												    """The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"""
												    """ instead."""		,	_UpperCAmelCase		,	)
												_lowerCAmelCase    :    str										=      kwargs.pop("""feature_extractor"""      )

								_lowerCAmelCase    :    Optional[int]										=      image_processor if image_processor is not None else feature_extractor
								if image_processor is None:
												raise ValueError("""You need to specify an `image_processor`."""      )
								if tokenizer is None:
												raise ValueError("""You need to specify a `tokenizer`."""      )

								super().__init__(_UpperCAmelCase		,	_UpperCAmelCase      )



				def __call__(      self      :		Optional[int]		,	_UpperCAmelCase      :		Optional[int]=None		,	_UpperCAmelCase      :		List[str]=None		,	_UpperCAmelCase      :		Dict=None		,	_UpperCAmelCase      :		Tuple=None		,	**_UpperCAmelCase      :		Dict      )  ->    Optional[Any]:





								'''simple docstring'''




								if text is None and visual_prompt is None and images is None:
												raise ValueError("""You have to specify either text, visual prompt or images."""      )

								if text is not None and visual_prompt is not None:
												raise ValueError("""You have to specify exactly one type of prompt. Either text or visual prompt."""      )

								if text is not None:
												_lowerCAmelCase    :    Union[str, Any]										=      self.tokenizer(_UpperCAmelCase		,	return_tensors=_UpperCAmelCase		,	**_UpperCAmelCase      )

								if visual_prompt is not None:
												_lowerCAmelCase    :    Dict										=      self.image_processor(_UpperCAmelCase		,	return_tensors=_UpperCAmelCase		,	**_UpperCAmelCase      )

								if images is not None:
												_lowerCAmelCase    :    Union[str, Any]										=      self.image_processor(_UpperCAmelCase		,	return_tensors=_UpperCAmelCase		,	**_UpperCAmelCase      )

								if visual_prompt is not None and images is not None:
												_lowerCAmelCase    :    List[Any]										=      {
												    """pixel_values""": image_features.pixel_values,
												    """conditional_pixel_values""": prompt_features.pixel_values,
												}
												return encoding
								elif text is not None and images is not None:
												_lowerCAmelCase    :    Optional[int]										=      image_features.pixel_values
												return encoding
								elif text is not None:
												return encoding
								elif visual_prompt is not None:
												_lowerCAmelCase    :    Optional[int]										=      {
												    """conditional_pixel_values""": prompt_features.pixel_values,
												}
												return encoding
								else:
												return BatchEncoding(data=dict(**_UpperCAmelCase      )		,	tensor_type=_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		List[str]		,	*_UpperCAmelCase      :		Tuple		,	**_UpperCAmelCase      :		List[str]      )  ->    Any:





								'''simple docstring'''




								return self.tokenizer.batch_decode(*_UpperCAmelCase		,	**_UpperCAmelCase      )



				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]		,	*_UpperCAmelCase      :		Tuple		,	**_UpperCAmelCase      :		Any      )  ->    Tuple:





								'''simple docstring'''




								return self.tokenizer.decode(*_UpperCAmelCase		,	**_UpperCAmelCase      )



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		Dict      )  ->    Union[str, Any]:





								'''simple docstring'''




								warnings.warn(
								    """`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."""		,	_UpperCAmelCase		,	)
								return self.image_processor_class



				@property
				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]      )  ->    str:





								'''simple docstring'''




								warnings.warn(
								    """`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."""		,	_UpperCAmelCase		,	)
								return self.image_processor







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

from tabulate import DataRow, TableFormat, tabulate


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


_lowerCamelCase      :  Optional[int]      						=						[]
_lowerCamelCase      :  Tuple      						=						[]

_lowerCamelCase      :  List[str]      						=						{"type": "section", "text": {"type": "plain_text", "text": "No failed tests! 🤗", "emoji": True}}

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

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

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

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

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

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

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

			_lowerCamelCase      :  int      						=						{
			    "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],
			)

