






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


_UpperCAmelCase			:		int   				=    WebClient(token=os.environ["CI_SLACK_BOT_TOKEN"])





def 	lowerCAmelCase_		(lowercase__						:       int       )		->    List[str]:


				'''simple docstring'''




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

				lowerCAmelCase__      			=						0
				lowerCAmelCase__      			=						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__      			=						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_		(lowercase__						:       Optional[Any]       )		->    int:


				'''simple docstring'''




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

				return failures
class  lowerCAmelCase_       :




							def __init__(   self     :   Union[str, Any] ,							SCREAMING_SNAKE_CASE_     :   str ,							SCREAMING_SNAKE_CASE_     :   Dict	):
											lowerCAmelCase__      			=						title

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

											# Failures and success of the modeling tests
											lowerCAmelCase__      			=						doc_test_results




							@property
							def 						__snake_case					(   self     :   int	):
											lowerCAmelCase__      			=						[self._time_spent]
											lowerCAmelCase__      			=						0

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

															lowerCAmelCase__			,		lowerCAmelCase__			,		lowerCAmelCase__      			=						int(time_parts[0]	), int(time_parts[1]	), float(time_parts[2]	)
															total_secs += hours * 3_600 + minutes * 60 + seconds

											lowerCAmelCase__			,		lowerCAmelCase__			,		lowerCAmelCase__      			=						total_secs // 3_600, (total_secs % 3_600) // 60, total_secs % 60
											return f'{int(__UpperCamelCase	)}h{int(__UpperCamelCase	)}m{int(__UpperCamelCase	)}s'




							@property
							def 						__snake_case					(   self     :   List[Any]	):
											return {"type": "header", "text": {"type": "plain_text", "text": self.title}}




							@property
							def 						__snake_case					(   self     :   Optional[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 						__snake_case					(   self     :   Union[str, Any]	):
											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 						__snake_case					(   self     :   List[str]	):
											lowerCAmelCase__      			=						40
											lowerCAmelCase__      			=						{k: v['''failed'''] for k, v in doc_test_results.items() if isinstance(__UpperCamelCase ,							__UpperCamelCase	)}

											lowerCAmelCase__      			=						''''''
											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 						__snake_case					(   self     :   Union[str, Any]	):
											lowerCAmelCase__      			=						[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 						__snake_case					(   ):
											lowerCAmelCase__      			=						[
											    {
											        '''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 						__snake_case					(   self     :   Tuple	):
											print('''Sending the following payload'''	)
											print(json.dumps({'''blocks''': json.loads(self.payload	)}	)	)

											lowerCAmelCase__      			=						f'{self.n_failures} failures out of {self.n_tests} tests,' if self.n_failures else '''All tests passed.'''

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




							def 						__snake_case					(   self     :   List[Any] ,							SCREAMING_SNAKE_CASE_     :   Optional[int] ,							SCREAMING_SNAKE_CASE_     :   Any ,							SCREAMING_SNAKE_CASE_     :   Any ,							SCREAMING_SNAKE_CASE_     :   List[str]	):
											lowerCAmelCase__      			=						''''''
											for key, value in failures.items():
															lowerCAmelCase__      			=						value[:200] + ''' [Truncated]''' if len(__UpperCamelCase	) > 250 else value
															failures_text += f'*{key}*\n_{value}_\n\n'

											lowerCAmelCase__      			=						job_name
											lowerCAmelCase__      			=						{'''type''': '''section''', '''text''': {'''type''': '''mrkdwn''', '''text''': text}}

											if job_link is not None:
															lowerCAmelCase__      			=						{
															    '''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 						__snake_case					(   self     :   int	):






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

											lowerCAmelCase__      			=						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__      			=						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__      			=						f'*Num failures* :{len(job_result["failed"]	)} \n'
																			lowerCAmelCase__      			=						job_result['''failures''']
																			lowerCAmelCase__      			=						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 	lowerCAmelCase_		()		->    List[str]:


				'''simple docstring'''




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

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

								for i in range(_A       ):
												lowerCAmelCase__      			=						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_		(lowercase__						:       Dict       )		->    Optional[int]:


				'''simple docstring'''




				lowerCAmelCase__      			=						{}

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

				return _artifact





def 	lowerCAmelCase_		()		->    int:


				'''simple docstring'''




				class  lowerCAmelCase_       :




											def __init__(   self     :   List[Any] ,							SCREAMING_SNAKE_CASE_     :   str	):
															lowerCAmelCase__      			=						name
															lowerCAmelCase__      			=						[]




											def __str__(   self     :   int	):
															return self.name




											def 						__snake_case					(   self     :   Dict ,							SCREAMING_SNAKE_CASE_     :   str	):
															self.paths.append({'''name''': self.name, '''path''': path}	)



				lowerCAmelCase__      			=						{}

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

												_available_artifacts[artifact_name].add_path(_A       )

				return _available_artifacts


if __name__ == "__main__":
			_UpperCAmelCase			:		Dict   				=    get_job_links()
			_UpperCAmelCase			:		Dict   				=    retrieve_available_artifacts()

			_UpperCAmelCase			:		Optional[int]   				=    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'
			_UpperCAmelCase			:		Dict   				=    {
			    v: {
			        '''failed''': [],
			        '''failures''': {},
			    }
			    for v in docs.values()
			}

			# Link to the GitHub Action job
			_UpperCAmelCase			:		int   				=    github_actions_job_links.get("run_doctests")

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

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

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

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

																		_UpperCAmelCase			:		Optional[Any]   				=    all_failures[test] if test in all_failures else '''N/A'''
																		_UpperCAmelCase			:		List[str]   				=    failure
																		break

			_UpperCAmelCase			:		List[Any]   				=    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_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_UpperCAmelCase			:		str   				=    {
    "configuration_blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallOnnxConfig",
    ],
    "tokenization_blenderbot_small": ["BlenderbotSmallTokenizer"],
}

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		List[str]   				=    ["BlenderbotSmallTokenizerFast"]

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		List[str]   				=    [
			    "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
			    "BlenderbotSmallForCausalLM",
			    "BlenderbotSmallForConditionalGeneration",
			    "BlenderbotSmallModel",
			    "BlenderbotSmallPreTrainedModel",
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		Dict   				=    [
			    "TFBlenderbotSmallForConditionalGeneration",
			    "TFBlenderbotSmallModel",
			    "TFBlenderbotSmallPreTrainedModel",
			]

try:
			if not is_flax_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCAmelCase			:		List[str]   				=    [
			    "FlaxBlenderbotSmallForConditionalGeneration",
			    "FlaxBlenderbotSmallModel",
			    "FlaxBlenderbotSmallPreTrainedModel",
			]

if TYPE_CHECKING:
			from .configuration_blenderbot_small import (
			    BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    BlenderbotSmallConfig,
			    BlenderbotSmallOnnxConfig,
			)
			from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_blenderbot_small import (
						    BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
						    BlenderbotSmallForCausalLM,
						    BlenderbotSmallForConditionalGeneration,
						    BlenderbotSmallModel,
						    BlenderbotSmallPreTrainedModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_blenderbot_small import (
						    TFBlenderbotSmallForConditionalGeneration,
						    TFBlenderbotSmallModel,
						    TFBlenderbotSmallPreTrainedModel,
						)

			try:
						if not is_flax_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flax_blenderbot_small import (
						    FlaxBlenderbotSmallForConditionalGeneration,
						    FlaxBlenderbotSmallModel,
						    FlaxBlenderbotSmallPreTrainedModel,
						)

else:
			import sys

			_UpperCAmelCase			:		int   				=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





