



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

from tabulate import DataRow, TableFormat, tabulate


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


_snake_case	=						[]
_snake_case	=						[]

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

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

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

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

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

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

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

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

																		_snake_case	=						{
																		    "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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_snake_case	=						logging.get_logger(__name__)

_snake_case	=						{
    "microsoft/focalnet-tiny": "https://huggingface.co/microsoft/focalnet-tiny/resolve/main/config.json",
}



class 						UpperCAmelCase_					( a     ,      a):
							lowerCamelCase__         =	'focalnet'







							def __init__(     self,    __a=224,    __a=4,    __a=3,    __a=96,    __a=False,    __a=[192, 384, 768, 768],    __a=[2, 2, 6, 2],    __a=[2, 2, 2, 2],    __a=[3, 3, 3, 3],    __a="gelu",    __a=4.0,    __a=0.0,    __a=0.1,    __a=False,    __a=1E-4,    __a=False,    __a=False,    __a=False,    __a=0.02,    __a=1E-5,    __a=32,    __a=None,    __a=None,    **__a,    ):

														'''simple docstring'''

														super().__init__(**__a)

														_lowerCAmelCase  :							str				     =					image_size
														_lowerCAmelCase  :							List[str]				     =					patch_size
														_lowerCAmelCase  :							List[Any]				     =					num_channels
														_lowerCAmelCase  :							Tuple				     =					embed_dim
														_lowerCAmelCase  :							List[Any]				     =					use_conv_embed
														_lowerCAmelCase  :							Any				     =					hidden_sizes
														_lowerCAmelCase  :							Tuple				     =					depths
														_lowerCAmelCase  :							Dict				     =					focal_levels
														_lowerCAmelCase  :							Optional[Any]				     =					focal_windows
														_lowerCAmelCase  :							str				     =					hidden_act
														_lowerCAmelCase  :							Union[str, Any]				     =					mlp_ratio
														_lowerCAmelCase  :							Any				     =					hidden_dropout_prob
														_lowerCAmelCase  :							Dict				     =					drop_path_rate
														_lowerCAmelCase  :							str				     =					use_layerscale
														_lowerCAmelCase  :							str				     =					layerscale_value
														_lowerCAmelCase  :							Union[str, Any]				     =					use_post_layernorm
														_lowerCAmelCase  :							Optional[int]				     =					use_post_layernorm_in_modulation
														_lowerCAmelCase  :							str				     =					normalize_modulator
														_lowerCAmelCase  :							Any				     =					initializer_range
														_lowerCAmelCase  :							Union[str, Any]				     =					layer_norm_eps
														_lowerCAmelCase  :							Any				     =					encoder_stride
														_lowerCAmelCase  :							List[str]				     =					["stem"] + [f"stage{idx}" for idx in range(1,    len(self.depths) + 1)]
														_lowerCAmelCase     ,					_lowerCAmelCase  :							List[str]				     =					get_aligned_output_features_output_indices(
														    out_features=__a,    out_indices=__a,    stage_names=self.stage_names)
