



"""simple docstring"""







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) > 3_0_0_0:
						A		=						'Too many failed tests, please see the full report in the Action results.'
						A		=						len(err) + 1_0
						A		=						message[: 3_0_0_0 - 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],
									)








"""simple docstring"""







import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Optional[Any] ):
						"""simple docstring"""






						snake_case   :			str						    = tmp_path / "file.csv"
						snake_case   :			Tuple						    = textwrap.dedent(
						    "\\n        header1,header2\n        1,2\n        10,20\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[str] ):
						"""simple docstring"""






						snake_case   :			List[Any]						    = tmp_path / "malformed_file.csv"
						snake_case   :			Union[str, Any]						    = textwrap.dedent(
						    "\\n        header1,header2\n        1,2\n        10,20,\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							int     ,		lowerCamelCase_:							Optional[Any] ):
						"""simple docstring"""






						snake_case   :			Dict						    = tmp_path / "csv_with_image.csv"
						snake_case   :			List[Any]						    = textwrap.dedent(
						    f'''\
        image
        {image_file}
        ''' )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[str] ):
						"""simple docstring"""






						snake_case   :			Optional[Any]						    = tmp_path / "csv_with_label.csv"
						snake_case   :			Tuple						    = textwrap.dedent(
						    "\\n        label\n        good\n        bad\n        good\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

@pytest.fixture
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[Any] ):
						"""simple docstring"""






						snake_case   :			Union[str, Any]						    = tmp_path / "csv_with_int_list.csv"
						snake_case   :			Optional[int]						    = textwrap.dedent(
						    "\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        " )
						with open(lowerCamelCase_     ,		"w" ) as f:
												f.write(lowerCamelCase_ )
						return str(lowerCamelCase_ )

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							List[str]     ,		lowerCamelCase_:							Any     ,		lowerCamelCase_:							List[str] ):
						"""simple docstring"""






						snake_case   :			Tuple						    = Csv()
						snake_case   :			str						    = csv._generate_tables([[csv_file, malformed_csv_file]] )
						with pytest.raises(lowerCamelCase_     ,		match="Error tokenizing data" ):
												for _ in generator:
																		pass
						assert any(
						    record.levelname == "ERROR"
						    and "Failed to read file" in record.message
						    and os.path.basename(lowerCamelCase_ ) in record.message
						    for record in caplog.records )

@require_pil
def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							str ):
						"""simple docstring"""






						with open(lowerCamelCase_     ,		encoding="utf-8" ) as f:
												snake_case   :			List[Any]						    = f.read().splitlines()[1]
						snake_case   :			List[str]						    = Csv(encoding="utf-8"     ,		features=Features({"image": Image()} ) )
						snake_case   :			Optional[int]						    = csv._generate_tables([[csv_file_with_image]] )
						snake_case   :			List[Any]						    = pa.concat_tables([table for _, table in generator] )
						assert pa_table.schema.field("image" ).type == Image()()
						snake_case   :			str						    = pa_table.to_pydict()["image"]
						assert generated_content == [{"path": image_file, "bytes": None}]

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							int ):
						"""simple docstring"""






						with open(lowerCamelCase_     ,		encoding="utf-8" ) as f:
												snake_case   :			Optional[Any]						    = f.read().splitlines()[1:]
						snake_case   :			List[str]						    = Csv(encoding="utf-8"     ,		features=Features({"label": ClassLabel(names=["good", "bad"] )} ) )
						snake_case   :			int						    = csv._generate_tables([[csv_file_with_label]] )
						snake_case   :			Dict						    = pa.concat_tables([table for _, table in generator] )
						assert pa_table.schema.field("label" ).type == ClassLabel(names=["good", "bad"] )()
						snake_case   :			Dict						    = pa_table.to_pydict()["label"]
						assert generated_content == [ClassLabel(names=["good", "bad"] ).straint(lowerCamelCase_ ) for label in labels]

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Union[str, Any] ):
						"""simple docstring"""






						snake_case   :			List[Any]						    = Csv(encoding="utf-8"     ,		sep=","     ,		converters={"int_list": lambda lowerCamelCase_ : [int(lowerCamelCase_ ) for i in x.split()]} )
						snake_case   :			Tuple						    = csv._generate_tables([[csv_file_with_int_list]] )
						snake_case   :			str						    = pa.concat_tables([table for _, table in generator] )
						assert pa.types.is_list(pa_table.schema.field("int_list" ).type )
						snake_case   :			Any						    = pa_table.to_pydict()["int_list"]
						assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]



