






import collections
import json
import math
import os
import re
import time
from fnmatch import fnmatch
from typing import Dict

import requests
from slack_sdk import WebClient


lowercase  :							List[str]			  =    WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])

def      lowerCAmelCase__	(    _a       :			Optional[int]    ):
		snake_case_				:							Any						 =       test_results.split(" "    )

		snake_case_				:							List[str]						 =       0
		snake_case_				:							Any						 =       0

		# When the output is short enough, the output is surrounded by = signs: "== OUTPUT =="
		# When it is too long, those signs are not present.
		snake_case_				:							Optional[Any]						 =       expressions[-2] if "=" in expressions[-1] else expressions[-1]

		for i, expression in enumerate(_a    ):
				if "failed" in expression:
						failed += int(expressions[i - 1]    )
				if "passed" in expression:
						success += int(expressions[i - 1]    )

		return failed, success, time_spent

def      lowerCAmelCase__	(    _a       :			List[Any]    ):
		snake_case_				:							Optional[int]						 =       {}
		snake_case_				:							Optional[int]						 =       None
		snake_case_				:							Optional[Any]						 =       False
		for line in failures_short_lines.split("\n"    ):
				if re.search(R"_ \[doctest\]"  ,      _a    ):
						snake_case_				:							str						 =       True
						snake_case_				:							Any						 =       line.split(" "    )[2]
				elif in_error and not line.split(" "    )[0].isdigit():
						snake_case_				:							Dict						 =       line
						snake_case_				:							List[Any]						 =       False

		return failures




class 		UpperCAmelCase_						:


						'''simple docstring'''




						def __init__(	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) ->				Any:
								snake_case_				:							Optional[int]						 =       title

								snake_case_				:							Union[str, Any]						 =       doc_test_results["time_spent"].split(","				)[0]
								snake_case_				:							List[str]						 =       doc_test_results["success"]
								snake_case_				:							Tuple						 =       doc_test_results["failures"]
								snake_case_				:							List[Any]						 =       self.n_success + self.n_failures

								# Failures and success of the modeling tests
								snake_case_				:							Any						 =       doc_test_results






						@property
						def       _lowerCAmelCase       (	self				) ->				str:
								snake_case_				:							Optional[Any]						 =       [self._time_spent]
								snake_case_				:							Optional[int]						 =       0

								for time in time_spent:
										snake_case_				:							Any						 =       time.split(":"				)

										# Time can be formatted as xx:xx:xx, as .xx, or as x.xx if the time spent was less than a minute.
										if len(_SCREAMING_SNAKE_CASE				) == 1:
												snake_case_				:							Optional[int]						 =       [0, 0, time_parts[0]]

										snake_case_ ,       snake_case_ ,       snake_case_				:							str						 =       int(time_parts[0]				), int(time_parts[1]				), float(time_parts[2]				)
										total_secs += hours * 3600 + minutes * 60 + seconds

								snake_case_ ,       snake_case_ ,       snake_case_				:							int						 =       total_secs // 3600, (total_secs % 3600) // 60, total_secs % 60
								return f'''{int(_SCREAMING_SNAKE_CASE				)}h{int(_SCREAMING_SNAKE_CASE				)}m{int(_SCREAMING_SNAKE_CASE				)}s'''






						@property
						def       _lowerCAmelCase       (	self				) ->				Dict:
								return {"type": "header", "text": {"type": "plain_text", "text": self.title}}






						@property
						def       _lowerCAmelCase       (	self				) ->				Dict:
								return {
								    "type": "section",
								    "text": {
								        "type": "plain_text",
								        "text": f'''🌞 There were no failures: all {self.n_tests} tests passed. The suite ran in {self.time}.''',
								        "emoji": True,
								    },
								    "accessory": {
								        "type": "button",
								        "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
								        "url": f'''https://github.com/huggingface/transformers/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
								    },
								}






						@property
						def       _lowerCAmelCase       (	self				) ->				Dict:
								return {
								    "type": "section",
								    "text": {
								        "type": "plain_text",
								        "text": (
								            f'''There were {self.n_failures} failures, out of {self.n_tests} tests.\nThe suite ran in'''
								            f''' {self.time}.'''
								        ),
								        "emoji": True,
								    },
								    "accessory": {
								        "type": "button",
								        "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
								        "url": f'''https://github.com/huggingface/transformers/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
								    },
								}






						@property
						def       _lowerCAmelCase       (	self				) ->				Dict:
								snake_case_				:							int						 =       40
								snake_case_				:							Tuple						 =       {k: v["failed"] for k, v in doc_test_results.items() if isinstance(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				)}

								snake_case_				:							Any						 =       ""
								for category, failures in category_failures.items():
										if len(_SCREAMING_SNAKE_CASE				) == 0:
												continue

										if report != "":
												report += "\n\n"

										report += f'''*{category} failures*:'''.ljust(line_length // 2				).rjust(line_length // 2				) + "\n"
										report += "`"
										report += "`\n`".join(_SCREAMING_SNAKE_CASE				)
										report += "`"

								return {
								    "type": "section",
								    "text": {
								        "type": "mrkdwn",
								        "text": f'''The following examples had failures:\n\n\n{report}\n''',
								    },
								}






						@property
						def       _lowerCAmelCase       (	self				) ->				str:
								snake_case_				:							Optional[Any]						 =       [self.header]

								if self.n_failures > 0:
										blocks.append(self.failures				)

								if self.n_failures > 0:
										blocks.extend([self.category_failures]				)

								if self.n_failures == 0:
										blocks.append(self.no_failures				)

								return json.dumps(_SCREAMING_SNAKE_CASE				)






						@staticmethod
						def       _lowerCAmelCase       (	) ->				str:
								snake_case_				:							List[str]						 =       [
								    {
								        "type": "section",
								        "text": {
								            "type": "plain_text",
								            "text": "There was an issue running the tests.",
								        },
								        "accessory": {
								            "type": "button",
								            "text": {"type": "plain_text", "text": "Check Action results", "emoji": True},
								            "url": f'''https://github.com/huggingface/transformers/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
								        },
								    }
								]

								print("Sending the following payload"				)
								print(json.dumps({"blocks": json.loads(_SCREAMING_SNAKE_CASE				)}				)				)

								client.chat_postMessage(
								    channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]		,				text="There was an issue running the tests."		,				blocks=_SCREAMING_SNAKE_CASE		,				)






						def       _lowerCAmelCase       (	self				) ->				Optional[Any]:
								print("Sending the following payload"				)
								print(json.dumps({"blocks": json.loads(self.payload				)}				)				)

								snake_case_				:							List[Any]						 =       f'''{self.n_failures} failures out of {self.n_tests} tests,''' if self.n_failures else "All tests passed."

								snake_case_				:							List[str]						 =       client.chat_postMessage(
								    channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]		,				blocks=self.payload		,				text=_SCREAMING_SNAKE_CASE		,				)






						def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE				) ->				int:
								snake_case_				:							Any						 =       ""
								for key, value in failures.items():
										snake_case_				:							Any						 =       value[:200] + " [Truncated]" if len(_SCREAMING_SNAKE_CASE				) > 250 else value
										failures_text += f'''*{key}*\n_{value}_\n\n'''

								snake_case_				:							Any						 =       job_name
								snake_case_				:							Tuple						 =       {"type": "section", "text": {"type": "mrkdwn", "text": text}}

								if job_link is not None:
										snake_case_				:							List[Any]						 =       {
										    "type": "button",
										    "text": {"type": "plain_text", "text": "GitHub Action job", "emoji": True},
										    "url": job_link,
										}

								return [
								    {"type": "header", "text": {"type": "plain_text", "text": title.upper(), "emoji": True}},
								    content,
								    {"type": "section", "text": {"type": "mrkdwn", "text": failures_text}},
								]






						def       _lowerCAmelCase       (	self				) ->				Any:
								if self.thread_ts is None:
										raise ValueError("Can only post reply if a post has been made."				)

								snake_case_				:							Tuple						 =       self.doc_test_results.pop("job_link"				)
								self.doc_test_results.pop("failures"				)
								self.doc_test_results.pop("success"				)
								self.doc_test_results.pop("time_spent"				)

								snake_case_				:							Any						 =       sorted(self.doc_test_results.items()		,				key=lambda _SCREAMING_SNAKE_CASE				: t[0]				)
								for job, job_result in sorted_dict:
										if len(job_result["failures"]				):
												snake_case_				:							Union[str, Any]						 =       f'''*Num failures* :{len(job_result['failed']				)} \n'''
												snake_case_				:							int						 =       job_result["failures"]
												snake_case_				:							int						 =       self.get_reply_blocks(_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE		,				_SCREAMING_SNAKE_CASE		,				text=_SCREAMING_SNAKE_CASE				)

												print("Sending the following reply"				)
												print(json.dumps({"blocks": blocks}				)				)

												client.chat_postMessage(
												    channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]		,				text=f'''Results for {job}'''		,				blocks=_SCREAMING_SNAKE_CASE		,				thread_ts=self.thread_ts["ts"]		,				)

												time.sleep(1				)




def      lowerCAmelCase__	(    ):
		snake_case_				:							Any						 =       os.environ["GITHUB_RUN_ID"]
		snake_case_				:							str						 =       F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100'''
		snake_case_				:							Dict						 =       requests.get(_a    ).json()
		snake_case_				:							Optional[int]						 =       {}

		try:
				jobs.update({job["name"]: job["html_url"] for job in result["jobs"]}    )
				snake_case_				:							int						 =       math.ceil((result["total_count"] - 1_00) / 1_00    )

				for i in range(_a    ):
						snake_case_				:							Optional[Any]						 =       requests.get(url + F'''&page={i + 2}'''    ).json()
						jobs.update({job["name"]: job["html_url"] for job in result["jobs"]}    )

				return jobs
		except Exception as e:
				print("Unknown error, could not fetch links."  ,      _a    )

		return {}

def      lowerCAmelCase__	(    _a       :			str    ):
		snake_case_				:							Tuple						 =       {}

		if os.path.exists(_a    ):
				snake_case_				:							Optional[Any]						 =       os.listdir(_a    )
				for file in files:
						try:
								with open(os.path.join(_a  ,      _a    )  ,      encoding="utf-8"    ) as f:
										snake_case_				:							Any						 =       f.read()
						except UnicodeDecodeError as e:
								raise ValueError(F'''Could not open {os.path.join(_a  ,      _a    )}.'''    ) from e

		return _artifact

def      lowerCAmelCase__	(    ):




		class 		UpperCAmelCase_						:


								'''simple docstring'''




								def __init__(	self		,				_SCREAMING_SNAKE_CASE				) ->				Optional[Any]:
										snake_case_				:							str						 =       name
										snake_case_				:							str						 =       []






								def __str__(	self				) ->				Tuple:
										return self.name






								def       _lowerCAmelCase       (	self		,				_SCREAMING_SNAKE_CASE				) ->				str:
										self.paths.append({"name": self.name, "path": path}				)




		snake_case_				:							Dict[str, Artifact]						 =       {}

		snake_case_				:							Optional[int]						 =       filter(os.path.isdir  ,      os.listdir()    )
		for directory in directories:
				snake_case_				:							List[Any]						 =       directory
				if artifact_name not in _available_artifacts:
						snake_case_				:							List[Any]						 =       Artifact(_a    )

						_available_artifacts[artifact_name].add_path(_a    )

		return _available_artifacts


if __name__ == "__main__":
							lowercase  :							Tuple			  =    get_job_links()
							lowercase  :							List[Any]			  =    retrieve_available_artifacts()

							lowercase  :							Dict			  =    collections.OrderedDict(
							    [
							        ('''*.py''', '''API Examples'''),
							        ('''*.md''', '''MD Examples'''),
							    ]
							)

							# This dict will contain all the information relative to each doc test category:
							# - failed: list of failed tests
							# - failures: dict in the format 'test': 'error_message'
							lowercase  :							str			  =    {
							    v: {
							        '''failed''': [],
							        '''failures''': {},
							    }
							    for v in docs.values()
							}

							# Link to the GitHub Action job
							lowercase  :							List[str]			  =    github_actions_job_links.get('''run_doctests''')

							lowercase  :							List[str]			  =    available_artifacts['''doc_tests_gpu_test_reports'''].paths[0]
							lowercase  :							str			  =    retrieve_artifact(artifact_path['''name'''])
							if "stats" in artifact:
														lowercase  ,lowercase  ,lowercase  :							Tuple			  =    handle_test_results(artifact['''stats'''])
														lowercase  :							int			  =    failed
														lowercase  :							int			  =    success
														lowercase  :							List[str]			  =    time_spent[1:-1] + ''', '''

														lowercase  :							Dict			  =    extract_first_line_failure(artifact['''failures_short'''])
														for line in artifact["summary_short"].split('''\n'''):
																					if re.search('''FAILED''', line):
																												lowercase  :							List[str]			  =    line.replace('''FAILED ''', '''''')
																												lowercase  :							str			  =    line.split()[0].replace('''\n''', '''''')

																												if "::" in line:
																																			lowercase  ,lowercase  :							List[str]			  =    line.split('''::''')
																												else:
																																			lowercase  ,lowercase  :							Optional[Any]			  =    line, line

																												for file_regex in docs.keys():
																																			if fnmatch(file_path, file_regex):
																																										lowercase  :							int			  =    docs[file_regex]
																																										doc_test_results[category]["failed"].append(test)

																																										lowercase  :							Dict			  =    all_failures[test] if test in all_failures else '''N/A'''
																																										lowercase  :							Optional[int]			  =    failure
																																										break

							lowercase  :							Dict			  =    Message('''🤗 Results of the doc tests.''', doc_test_results)
							message.post()
							message.post_reply()








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowercase  :							str			  =    {
    '''configuration_biogpt''': ['''BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''BioGptConfig'''],
    '''tokenization_biogpt''': ['''BioGptTokenizer'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase  :							List[str]			  =    [
							    '''BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''BioGptForCausalLM''',
							    '''BioGptForTokenClassification''',
							    '''BioGptForSequenceClassification''',
							    '''BioGptModel''',
							    '''BioGptPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
							from .tokenization_biogpt import BioGptTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_biogpt import (
														    BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BioGptForCausalLM,
														    BioGptForSequenceClassification,
														    BioGptForTokenClassification,
														    BioGptModel,
														    BioGptPreTrainedModel,
														)


else:
							import sys

							lowercase  :							Tuple			  =    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
