
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) > 30_00:
        _A						      =				'''Too many failed tests, please see the full report in the Action results.'''
        _A						      =				len(err) + 10
        _A						      =				message[: 30_00 - 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 collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A						      =				logging.get_logger(__name__)

_A						      =				{
    "sail/poolformer_s12": "https://huggingface.co/sail/poolformer_s12/resolve/main/config.json",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							Any     =	"poolformer"





     def __init__(self   :					Optional[int]       ,					_A   :					Optional[Any]=3       ,					_A   :					Optional[int]=1_6       ,					_A   :					Dict=1_6       ,					_A   :					Tuple=3       ,					_A   :					Tuple=4.0       ,					_A   :					int=[2, 2, 6, 2]       ,					_A   :					Dict=[6_4, 1_2_8, 3_2_0, 5_1_2]       ,					_A   :					int=[7, 3, 3, 3]       ,					_A   :					List[str]=[4, 2, 2, 2]       ,					_A   :					str=[2, 1, 1, 1]       ,					_A   :					List[Any]=4       ,					_A   :					Any=0.0       ,					_A   :					Optional[Any]="gelu"       ,					_A   :					Optional[Any]=True       ,					_A   :					List[str]=1E-5       ,					_A   :					List[str]=0.02       ,					**_A   :					str       ,					)		->		Tuple:
         snake_case				  =      num_channels
         snake_case				  =      patch_size
         snake_case				  =      stride
         snake_case				  =      padding
         snake_case				  =      pool_size
         snake_case				  =      hidden_sizes
         snake_case				  =      mlp_ratio
         snake_case				  =      depths
         snake_case				  =      patch_sizes
         snake_case				  =      strides
         snake_case				  =      num_encoder_blocks
         snake_case				  =      drop_path_rate
         snake_case				  =      hidden_act
         snake_case				  =      use_layer_scale
         snake_case				  =      layer_scale_init_value
         snake_case				  =      initializer_range
         super().__init__(**_A     )







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							Tuple     =	version.parse("1.11"						)





     @property
     def 	UpperCAmelCase(self   :					int     )		->		Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ]     )





     @property
     def 	UpperCAmelCase(self   :					int     )		->		float:
         return 2E-3

