

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

from tabulate import DataRow, TableFormat, tabulate


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


a		=[]
a		=[]

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

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

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

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

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

															a		=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:
										a		="""Too many failed tests, please see the full report in the Action results."""
										a		=len(err) + 10
										a		=message[: 3000 - offset] + F"""\n...\n```\n{err}"""
					print(F"""### {message}""")
else:
					a		="""No failed tests! 🤗"""
					print(F"""## {message}""")
					payload.append(no_error_payload)

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

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

															a		={
															    """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 ...configuration_utils import PretrainedConfig
from ...utils import logging


a		=logging.get_logger(__name__)

a		={
    """sayakpaul/vit-msn-base""": """https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json""",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}






class 	A_		(	SCREAMING_SNAKE_CASE    ):
							_UpperCAmelCase   :  str										=				'''vit_msn'''
							def __init__(		self		:      Any       ,SCREAMING_SNAKE_CASE__		:      int=7_6_8       ,SCREAMING_SNAKE_CASE__		:      Optional[int]=1_2       ,SCREAMING_SNAKE_CASE__		:      Optional[Any]=1_2       ,SCREAMING_SNAKE_CASE__		:      Tuple=3_0_7_2       ,SCREAMING_SNAKE_CASE__		:      str="gelu"       ,SCREAMING_SNAKE_CASE__		:      Any=0.0       ,SCREAMING_SNAKE_CASE__		:      str=0.0       ,SCREAMING_SNAKE_CASE__		:      Any=0.02       ,SCREAMING_SNAKE_CASE__		:      int=1E-06       ,SCREAMING_SNAKE_CASE__		:      Optional[int]=2_2_4       ,SCREAMING_SNAKE_CASE__		:      Dict=1_6       ,SCREAMING_SNAKE_CASE__		:      int=3       ,SCREAMING_SNAKE_CASE__		:      List[str]=True       ,**SCREAMING_SNAKE_CASE__		:      str       ,):
								super().__init__(**SCREAMING_SNAKE_CASE__)

								__lowerCamelCase    :    List[Any] 	=			hidden_size
								__lowerCamelCase    :    Tuple 	=			num_hidden_layers
								__lowerCamelCase    :    Union[str, Any] 	=			num_attention_heads
								__lowerCamelCase    :    Dict 	=			intermediate_size
								__lowerCamelCase    :    List[Any] 	=			hidden_act
								__lowerCamelCase    :    Optional[Any] 	=			hidden_dropout_prob
								__lowerCamelCase    :    str 	=			attention_probs_dropout_prob
								__lowerCamelCase    :    List[str] 	=			initializer_range
								__lowerCamelCase    :    Optional[int] 	=			layer_norm_eps
								__lowerCamelCase    :    Tuple 	=			image_size
								__lowerCamelCase    :    Union[str, Any] 	=			patch_size
								__lowerCamelCase    :    Optional[Any] 	=			num_channels
								__lowerCamelCase    :    List[str] 	=			qkv_bias




