


"""simple docstring"""







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


a__    :							Any            =					WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])




def        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    test_results.split(" "       )

					__SCREAMING_SNAKE_CASE						       =    0
					__SCREAMING_SNAKE_CASE						       =    0

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

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

					return failed, success, time_spent




def        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    {}
					__SCREAMING_SNAKE_CASE						       =    None
					__SCREAMING_SNAKE_CASE						       =    False
					for line in failures_short_lines.split("\n"       ):
										if re.search(R"_ \[doctest\]"  ,						lowerCAmelCase_       ):
															__SCREAMING_SNAKE_CASE						       =    True
															__SCREAMING_SNAKE_CASE						       =    line.split(" "       )[2]
										elif in_error and not line.split(" "       )[0].isdigit():
															__SCREAMING_SNAKE_CASE						       =    line
															__SCREAMING_SNAKE_CASE						       =    False

					return failures




class 			UpperCamelCase_     :

	"""simple docstring"""





	def __init__(			self      :    List[Any]      ,      UpperCAmelCase__      :    str      ,      UpperCAmelCase__      :    Dict       )	->     str:
						__SCREAMING_SNAKE_CASE						       =    title

						__SCREAMING_SNAKE_CASE						       =    doc_test_results["time_spent"].split(","       )[0]
						__SCREAMING_SNAKE_CASE						       =    doc_test_results["success"]
						__SCREAMING_SNAKE_CASE						       =    doc_test_results["failures"]
						__SCREAMING_SNAKE_CASE						       =    self.n_success + self.n_failures

						# Failures and success of the modeling tests
						__SCREAMING_SNAKE_CASE						       =    doc_test_results




	@property
	def   UpperCAmelCase_				(			self      :    Optional[Any]       )	->     str:
						__SCREAMING_SNAKE_CASE						       =    [self._time_spent]
						__SCREAMING_SNAKE_CASE						       =    0

						for time in time_spent:
											__SCREAMING_SNAKE_CASE						       =    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(UpperCAmelCase__       ) == 1:
																__SCREAMING_SNAKE_CASE						       =    [0, 0, time_parts[0]]

											__SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE						       =    int(time_parts[0]       ), int(time_parts[1]       ), float(time_parts[2]       )
											total_secs += hours * 3_6_0_0 + minutes * 6_0 + seconds

						__SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE       ,  __SCREAMING_SNAKE_CASE						       =    total_secs // 3_6_0_0, (total_secs % 3_6_0_0) // 6_0, total_secs % 6_0
						return F"""{int(UpperCAmelCase__       )}h{int(UpperCAmelCase__       )}m{int(UpperCAmelCase__       )}s"""




	@property
	def   UpperCAmelCase_				(			self      :    Union[str, Any]       )	->     Dict:
						return {"type": "header", "text": {"type": "plain_text", "text": self.title}}




	@property
	def   UpperCAmelCase_				(			self      :    str       )	->     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   UpperCAmelCase_				(			self      :    str       )	->     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   UpperCAmelCase_				(			self      :    Dict       )	->     Dict:
						__SCREAMING_SNAKE_CASE						       =    4_0
						__SCREAMING_SNAKE_CASE						       =    {k: v["failed"] for k, v in doc_test_results.items() if isinstance(UpperCAmelCase__      ,      UpperCAmelCase__       )}

						__SCREAMING_SNAKE_CASE						       =    ""
						for category, failures in category_failures.items():
											if len(UpperCAmelCase__       ) == 0:
																continue

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

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

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




	@property
	def   UpperCAmelCase_				(			self      :    Optional[Any]       )	->     str:
						__SCREAMING_SNAKE_CASE						       =    [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(UpperCAmelCase__       )




	@staticmethod
	def   UpperCAmelCase_				(			)	->     List[str]:
						__SCREAMING_SNAKE_CASE						       =    [
						    {
						        "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(UpperCAmelCase__       )}       )       )

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




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

						__SCREAMING_SNAKE_CASE						       =    F"""{self.n_failures} failures out of {self.n_tests} tests,""" if self.n_failures else "All tests passed."

						__SCREAMING_SNAKE_CASE						       =    client.chat_postMessage(
						    channel=os.environ["CI_SLACK_CHANNEL_ID_DAILY"]      ,      blocks=self.payload      ,      text=UpperCAmelCase__      ,      )




	def   UpperCAmelCase_				(			self      :    str      ,      UpperCAmelCase__      :    int      ,      UpperCAmelCase__      :    Tuple      ,      UpperCAmelCase__      :    List[str]      ,      UpperCAmelCase__      :    Optional[int]       )	->     int:
						__SCREAMING_SNAKE_CASE						       =    ""
						for key, value in failures.items():
											__SCREAMING_SNAKE_CASE						       =    value[:2_0_0] + " [Truncated]" if len(UpperCAmelCase__       ) > 2_5_0 else value
											failures_text += F"""*{key}*\n_{value}_\n\n"""

						__SCREAMING_SNAKE_CASE						       =    job_name
						__SCREAMING_SNAKE_CASE						       =    {"type": "section", "text": {"type": "mrkdwn", "text": text}}

						if job_link is not None:
											__SCREAMING_SNAKE_CASE						       =    {
											    "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   UpperCAmelCase_				(			self      :    Any       )	->     Tuple:
						if self.thread_ts is None:
											raise ValueError("Can only post reply if a post has been made."       )

						__SCREAMING_SNAKE_CASE						       =    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"       )

						__SCREAMING_SNAKE_CASE						       =    sorted(self.doc_test_results.items()      ,      key=lambda UpperCAmelCase__       : t[0]       )
						for job, job_result in sorted_dict:
											if len(job_result["failures"]       ):
																__SCREAMING_SNAKE_CASE						       =    F"""*Num failures* :{len(job_result['failed']       )} \n"""
																__SCREAMING_SNAKE_CASE						       =    job_result["failures"]
																__SCREAMING_SNAKE_CASE						       =    self.get_reply_blocks(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      text=UpperCAmelCase__       )

																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=UpperCAmelCase__      ,      thread_ts=self.thread_ts["ts"]      ,      )

																time.sleep(1       )




def        UpperCAmelCase__	():




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    os.environ["GITHUB_RUN_ID"]
					__SCREAMING_SNAKE_CASE						       =    f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100"""
					__SCREAMING_SNAKE_CASE						       =    requests.get(lowerCAmelCase_       ).json()
					__SCREAMING_SNAKE_CASE						       =    {}

					try:
										jobs.update({job["name"]: job["html_url"] for job in result["jobs"]}       )
										__SCREAMING_SNAKE_CASE						       =    math.ceil((result["total_count"] - 100) / 100       )

										for i in range(lowerCAmelCase_       ):
															__SCREAMING_SNAKE_CASE						       =    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."  ,						lowerCAmelCase_       )

					return {}




def        UpperCAmelCase__	(lowerCAmelCase_       ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						       =    {}

					if os.path.exists(lowerCAmelCase_       ):
										__SCREAMING_SNAKE_CASE						       =    os.listdir(lowerCAmelCase_       )
										for file in files:
															try:
																				with open(os.path.join(lowerCAmelCase_  ,						lowerCAmelCase_       )  ,						encoding="utf-8"       ) as f:
																									__SCREAMING_SNAKE_CASE						       =    f.read()
															except UnicodeDecodeError as e:
																				raise ValueError(f"""Could not open {os.path.join(lowerCAmelCase_  ,						lowerCAmelCase_       )}."""       ) from e

					return _artifact




def        UpperCAmelCase__	():




					'''simple docstring'''


					class 			UpperCamelCase_     :

						"""simple docstring"""





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




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




						def   UpperCAmelCase_				(			self      :    str      ,      UpperCAmelCase__      :    str       )	->     int:
											self.paths.append({"name": self.name, "path": path}       )


					__SCREAMING_SNAKE_CASE						       =    {}

					__SCREAMING_SNAKE_CASE						       =    filter(os.path.isdir  ,						os.listdir()       )
					for directory in directories:
										__SCREAMING_SNAKE_CASE						       =    directory
										if artifact_name not in _available_artifacts:
															__SCREAMING_SNAKE_CASE						       =    Artifact(lowerCAmelCase_       )

															_available_artifacts[artifact_name].add_path(lowerCAmelCase_       )

					return _available_artifacts


if __name__ == "__main__":
		a__    :							List[str]            =					get_job_links()
		a__    :							str            =					retrieve_available_artifacts()

		a__    :							List[Any]            =					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'
		a__    :							Union[str, Any]            =					{
		    v: {
		        '''failed''': [],
		        '''failures''': {},
		    }
		    for v in docs.values()
		}

		# Link to the GitHub Action job
		a__    :							Tuple            =					github_actions_job_links.get('''run_doctests''')

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

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

								if "::" in line:
										a__      ,					a__    :							Optional[int]            =					line.split('''::''')
								else:
										a__      ,					a__    :							Union[str, Any]            =					line, line

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

												a__    :							Union[str, Any]            =					all_failures[test] if test in all_failures else '''N/A'''
												a__    :							List[Any]            =					failure
												break

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




"""simple docstring"""







from typing import TYPE_CHECKING

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


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

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		a__    :							Union[str, Any]            =					[
		    '''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

		a__    :							Optional[int]            =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
