


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

from tabulate import DataRow, TableFormat, tabulate


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


lowerCamelCase						=		[]
lowerCamelCase						=		[]

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

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

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

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

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

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

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

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

						lowerCamelCase						=		{
						    '''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],
						)








import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		def wrapper(*_a     ,       **_a	):
				lowerCAmelCase__       :      List[str]   					= timeit.default_timer()
				lowerCAmelCase__       :      List[Any]   					= func(*_a     ,       **_a	)
				lowerCAmelCase__       :      Any   					= timeit.default_timer() - starttime
				return delta

		lowerCAmelCase__       :      Any   					= func.__name__

		return wrapper






def 					lowerCamelCase_   (	_a     ,       _a=100     ,       _a=None	):




		"""simple docstring"""






		lowerCAmelCase__       :      str   					= []
		lowerCAmelCase__       :      str   					= seq_shapes or {}
		for i in range(_a	):
				lowerCAmelCase__       :      List[str]   					= {}
				for col_id, (k, v) in enumerate(features.items()	):
						if isinstance(_a     ,       _ArrayXD	):
								lowerCAmelCase__       :      List[str]   					= np.random.rand(*v.shape	).astype(v.dtype	)
						elif isinstance(_a     ,       datasets.Value	):
								if v.dtype == "string":
										lowerCAmelCase__       :      Dict   					= '''The small grey turtle was surprisingly fast when challenged.'''
								else:
										lowerCAmelCase__       :      Any   					= np.random.randint(10     ,       size=1	).astype(v.dtype	).item()
						elif isinstance(_a     ,       datasets.Sequence	):
								while isinstance(_a     ,       datasets.Sequence	):
										lowerCAmelCase__       :      Optional[int]   					= v.feature
								lowerCAmelCase__       :      str   					= seq_shapes[k]
								lowerCAmelCase__       :      Any   					= np.random.rand(*_a	).astype(v.dtype	)
						lowerCAmelCase__       :      int   					= data

				dummy_data.append((i, example)	)

		return dummy_data






def 					lowerCamelCase_   (	_a     ,       _a     ,       _a=100     ,       _a=None	):




		"""simple docstring"""






		lowerCAmelCase__       :      Optional[Any]   					= generate_examples(_a     ,       num_examples=_a     ,       seq_shapes=_a	)

		with ArrowWriter(features=_a     ,       path=_a	) as writer:
				for key, record in dummy_data:
						lowerCAmelCase__       :      Optional[int]   					= features.encode_example(_a	)
						writer.write(_a	)

				lowerCAmelCase__					,     lowerCAmelCase__       :      List[str]   					= writer.finalize()

		if not num_final_examples == num_examples:
				raise ValueError(
				    f'Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'	)

		lowerCAmelCase__       :      List[Any]   					= datasets.Dataset.from_file(filename=_a     ,       info=datasets.DatasetInfo(features=_a	)	)

		return dataset




