




'''simple docstring'''



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

from tabulate import DataRow, TableFormat, tabulate


_lowercase    :    Optional[Any]			     =  TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("""""", """|""", """|"""),
    datarow=DataRow("""""", """|""", """|"""),
    padding=1,
    with_header_hide=None,
)


_lowercase    :    Optional[Any]			     =  []
_lowercase    :    List[str]			     =  []

_lowercase    :    List[str]			     =  {"""type""": """section""", """text""": {"""type""": """plain_text""", """text""": """No failed tests! 🤗""", """emoji""": True}}

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

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

_lowercase    :    Dict			     =  """"""
_lowercase    :    Dict			     =  []
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"
			_lowercase    :    str			     =  []
			_lowercase    :    int			     =  {}
			for test in failed_tests:
				_lowercase    :    List[str]			     =  test[0].split("""::""")
				_lowercase    :    Any			     =  data[0].split("""/""")[-1]
				if data[0] not in filesafailed:
					_lowercase    :    Dict			     =  [data[1:]]
				else:
					filesafailed[data[0]] += [data[1:]]
				failed_table.append(data)

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

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

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

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

			_lowercase    :    Optional[Any]			     =  {
			    """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 heapq


def    lowerCamelCase__   ( A     :    dict  ):




						'''simple docstring'''






						UpperCAmelCase         =			[]

						# for each node and his adjacency list add them and the rank of the node to queue
						# using heapq module the queue will be filled like a Priority Queue
						# heapq works with a min priority queue, so I used -1*len(v) to build it
						for key, value in graph.items():
												# O(log(n))
												heapq.heappush(A   ,     [-1 * len(A  ), (key, value)]  )

						# chosen_vertices = set of chosen vertices
						UpperCAmelCase         =			set()

						# while queue isn't empty and there are still edges
						#   (queue[0][0] is the rank of the node with max rank)
						while queue and queue[0][0] != 0:
												# extract vertex with max rank from queue and add it to chosen_vertices
												UpperCAmelCase         =			heapq.heappop(A  )[1][0]
												chosen_vertices.add(A  )

												# Remove all arcs adjacent to argmax
												for elem in queue:
																		# if v haven't adjacent node, skip
																		if elem[0] == 0:
																								continue
																		# if argmax is reachable from elem
																		# remove argmax from elem's adjacent list and update his rank
																		if argmax in elem[1][1]:
																								UpperCAmelCase         =			elem[1][1].index(A  )
																								del elem[1][1][index]
																								elem[0] += 1
        # re-order the queue
												heapq.heapify(A  )
						return chosen_vertices


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	_lowercase    :    Optional[int]			     =  {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
	print(F"""Minimum vertex cover:\n{greedy_min_vertex_cover(graph)}""")





