


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


lowerCamelCase						=		WebClient(token=os.environ['''CI_SLACK_BOT_TOKEN'''])






def      lowerCamelCase_    (       _a       ):




		"""simple docstring"""






		lowerCAmelCase__   :			Tuple         =					test_results.split(''' '''       )

		lowerCAmelCase__   :			Tuple         =					0
		lowerCAmelCase__   :			List[str]         =					0

		# When the output is short enough, the output is surrounded by = signs: "== OUTPUT =="
		# When it is too long, those signs are not present.
		lowerCAmelCase__   :			str         =					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      lowerCamelCase_    (       _a       ):




		"""simple docstring"""






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

		return failures





class 					_a							:




	def __init__(					self						:		Optional[Any]		,					_SCREAMING_SNAKE_CASE						:		str		,					_SCREAMING_SNAKE_CASE						:		Dict		)->       Dict:
			lowerCAmelCase__   :			List[Any]         =					title

			lowerCAmelCase__   :			Optional[Any]         =					doc_test_results["time_spent"].split(''','''		)[0]
			lowerCAmelCase__   :			Dict         =					doc_test_results["success"]
			lowerCAmelCase__   :			Tuple         =					doc_test_results["failures"]
			lowerCAmelCase__   :			Union[str, Any]         =					self.n_success + self.n_failures

			# Failures and success of the modeling tests
			lowerCAmelCase__   :			Union[str, Any]         =					doc_test_results




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

			for time in time_spent:
					lowerCAmelCase__   :			Dict         =					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:
							lowerCAmelCase__   :			List[str]         =					[0, 0, time_parts[0]]

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

			lowerCAmelCase__   :			str         =					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 							UpperCAmelCase__(					self						:		Tuple		)->       List[str]:
			return {"type": "header", "text": {"type": "plain_text", "text": self.title}}




	@property
	def 							UpperCAmelCase__(					self						:		Union[str, Any]		)->       List[Any]:
			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						:		Tuple		)->       Optional[int]:
			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						:		Optional[Any]		)->       List[str]:
			lowerCAmelCase__   :			Union[str, Any]         =					40
			lowerCAmelCase__   :			str         =					{k: v["failed"] for k, v in doc_test_results.items() if isinstance(_SCREAMING_SNAKE_CASE		,					_SCREAMING_SNAKE_CASE		)}

			lowerCAmelCase__   :			Optional[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 							UpperCAmelCase__(					self						:		Union[str, Any]		)->       Dict:
			lowerCAmelCase__   :			Optional[int]         =					[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 							UpperCAmelCase__(					)->       List[Any]:
			lowerCAmelCase__   :			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 							UpperCAmelCase__(					self						:		Any		)->       Dict:
			print('''Sending the following payload'''		)
			print(json.dumps({'''blocks''': json.loads(self.payload		)}		)		)

			lowerCAmelCase__   :			Union[str, Any]         =					F'{self.n_failures} failures out of {self.n_tests} tests,' if self.n_failures else "All tests passed."

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




	def 							UpperCAmelCase__(					self						:		int		,					_SCREAMING_SNAKE_CASE						:		str		,					_SCREAMING_SNAKE_CASE						:		Tuple		,					_SCREAMING_SNAKE_CASE						:		str		,					_SCREAMING_SNAKE_CASE						:		Union[str, Any]		)->       Optional[Any]:
			lowerCAmelCase__   :			str         =					""
			for key, value in failures.items():
					lowerCAmelCase__   :			Any         =					value[:200] + " [Truncated]" if len(_SCREAMING_SNAKE_CASE		) > 250 else value
					failures_text += F'*{key}*\n_{value}_\n\n'

			lowerCAmelCase__   :			str         =					job_name
			lowerCAmelCase__   :			int         =					{"type": "section", "text": {"type": "mrkdwn", "text": text}}

			if job_link is not None:
					lowerCAmelCase__   :			Dict         =					{
					    "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						:		List[Any]		)->       Any:




			if self.thread_ts is None:
					raise ValueError('''Can only post reply if a post has been made.'''		)

			lowerCAmelCase__   :			List[Any]         =					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'''		)

			lowerCAmelCase__   :			Union[str, 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''']		):
							lowerCAmelCase__   :			Optional[int]         =					F'*Num failures* :{len(job_result["failed"]		)} \n'
							lowerCAmelCase__   :			Dict         =					job_result["failures"]
							lowerCAmelCase__   :			Optional[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_    (       ):




		"""simple docstring"""






		lowerCAmelCase__   :			Union[str, Any]         =					os.environ["GITHUB_RUN_ID"]
		lowerCAmelCase__   :			Tuple         =					f'https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100'
		lowerCAmelCase__   :			List[str]         =					requests.get(__lowerCamelCase       ).json()
		lowerCAmelCase__   :			Tuple         =					{}

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

				for i in range(__lowerCamelCase       ):
						lowerCAmelCase__   :			Optional[int]         =					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      lowerCamelCase_    (       _a       ):




		"""simple docstring"""






		lowerCAmelCase__   :			str         =					{}

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

		return _artifact






def      lowerCamelCase_    (       ):




		"""simple docstring"""






		class 					_a							:




			def __init__(					self						:		List[Any]		,					_SCREAMING_SNAKE_CASE						:		str		)->       int:
					lowerCAmelCase__   :			Dict         =					name
					lowerCAmelCase__   :			Dict         =					[]




			def __str__(					self						:		Optional[int]		)->       int:
					return self.name




			def 							UpperCAmelCase__(					self						:		Optional[Any]		,					_SCREAMING_SNAKE_CASE						:		str		)->       Dict:
					self.paths.append({'''name''': self.name, '''path''': path}		)
		lowerCAmelCase__   :			Dict[str, Artifact]         =					{}

		lowerCAmelCase__   :			str         =					filter(os.path.isdir	,   os.listdir()       )
		for directory in directories:
				lowerCAmelCase__   :			Union[str, Any]         =					directory
				if artifact_name not in _available_artifacts:
						lowerCAmelCase__   :			Optional[Any]         =					Artifact(__lowerCamelCase       )

						_available_artifacts[artifact_name].add_path(__lowerCamelCase       )

		return _available_artifacts


if __name__ == "__main__":
		lowerCamelCase						=		get_job_links()
		lowerCamelCase						=		retrieve_available_artifacts()

		lowerCamelCase						=		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'
		lowerCamelCase						=		{
		    v: {
		        '''failed''': [],
		        '''failures''': {},
		    }
		    for v in docs.values()
		}

		# Link to the GitHub Action job
		lowerCamelCase						=		github_actions_job_links.get('''run_doctests''')

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

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

								if "::" in line:
										lowerCamelCase						=		line.split('''::''')
								else:
										lowerCamelCase						=		line, line

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

												lowerCamelCase						=		all_failures[test] if test in all_failures else '''N/A'''
												lowerCamelCase						=		failure
												break

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











'''simple docstring'''


import argparse
import logging
import sys
from unittest.mock import patch

import run_glue_deebert

from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow


logging.basicConfig(level=logging.DEBUG)

lowerCAmelCase					:     Optional[int]												=logging.getLogger()
def 							UpperCAmelCase_  (						):
   lowercase_			:Union[str, Any]    			= argparse.ArgumentParser()
   parser.add_argument("-f" )
   lowercase_			:Any    			= parser.parse_args()
   return args.f


class       a_   (				_lowerCAmelCase							):





     def 							lowercase__      ( self		:					List[Any]						):





        """simple docstring"""




        lowercase_			:List[Any]    			= logging.StreamHandler(sys.stdout						)
        logger.addHandler(lowercase						)





     def 							lowercase__      ( self		:					str	,      lowercase		:					str						):





        """simple docstring"""




        lowercase_			:Dict    			= get_gpu_count()

        if n_gpu > 1:
           pass
           # XXX: doesn't quite work with n_gpu > 1 https://github.com/huggingface/transformers/issues/10560
           # script = f"{self.examples_dir_str}/research_projects/deebert/run_glue_deebert.py"
           # distributed_args = f"-m torch.distributed.launch --nproc_per_node={n_gpu} {script}".split()
           # cmd = [sys.executable] + distributed_args + args
           # execute_subprocess_async(cmd, env=self.get_env())
           # XXX: test the results - need to save them first into .json file
        else:
           args.insert(0	,      "run_glue_deebert.py"						)
           with patch.object(lowercase	,      "argv"	,      lowercase						):
              lowercase_			:int    			= run_glue_deebert.main()
              for value in result.values():
                 self.assertGreaterEqual(lowercase	,      0.6_66						)







     @slow
     @require_torch_non_multi_gpu
     def 							lowercase__      ( self		:					Tuple						):





        """simple docstring"""




        lowercase_			:List[Any]    			= "\n            --model_type roberta\n            --model_name_or_path roberta-base\n            --task_name MRPC\n            --do_train\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --max_seq_length 128\n            --per_gpu_eval_batch_size=1\n            --per_gpu_train_batch_size=8\n            --learning_rate 2e-4\n            --num_train_epochs 3\n            --overwrite_output_dir\n            --seed 42\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --save_steps 0\n            --overwrite_cache\n            --eval_after_first_stage\n            ".split()
        self.run_and_check(lowercase						)

        lowercase_			:List[str]    			= "\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --eval_each_highway\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            ".split()
        self.run_and_check(lowercase						)

        lowercase_			:Any    			= "\n            --model_type roberta\n            --model_name_or_path ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --task_name MRPC\n            --do_eval\n            --do_lower_case\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir ./examples/deebert/saved_models/roberta-base/MRPC/two_stage\n            --plot_data_dir ./examples/deebert/results/\n            --max_seq_length 128\n            --early_exit_entropy 0.1\n            --eval_highway\n            --overwrite_cache\n            --per_gpu_eval_batch_size=1\n            ".split()
        self.run_and_check(lowercase						)


