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




def     UpperCamelCase						(	__lowercase						:			Union[str, Any]     ):
		'''simple docstring'''




		A_		:    Optional[Any]         =				test_results.split(' '     )

		A_		:    Any         =				0
		A_		:    List[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.
		A_		:    List[Any]         =				expressions[-2] if '=' in expressions[-1] else expressions[-1]

		for i, expression in enumerate(__lowercase     ):
				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						(	__lowercase						:			Dict     ):
		'''simple docstring'''




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

		return failures





class UpperCAmelCase						:


				'''simple docstring'''






				def __init__(						self		,     lowercase		,     lowercase ):



						"""simple docstring"""





						A_		:    Dict         =				title

						A_		:    Optional[int]         =				doc_test_results['time_spent'].split(',' )[0]
						A_		:    List[str]         =				doc_test_results['success']
						A_		:    int         =				doc_test_results['failures']
						A_		:    Any         =				self.n_success + self.n_failures

						# Failures and success of the modeling tests
						A_		:    Dict         =				doc_test_results
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[str]         =				[self._time_spent]
						A_		:    List[Any]         =				0

						for time in time_spent:
								A_		:    Optional[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(lowercase ) == 1:
										A_		:    List[Any]         =				[0, 0, time_parts[0]]

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

						A_       ,      A_       ,      A_		:    Any         =				total_secs // 3_6_0_0, (total_secs % 3_6_0_0) // 6_0, total_secs % 6_0
						return F'''{int(lowercase )}h{int(lowercase )}m{int(lowercase )}s'''
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return {"type": "header", "text": {"type": "plain_text", "text": self.title}}
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						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 ):



						"""simple docstring"""





						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 ):



						"""simple docstring"""





						A_		:    str         =				4_0
						A_		:    Union[str, Any]         =				{k: v['failed'] for k, v in doc_test_results.items() if isinstance(lowercase		,     lowercase )}

						A_		:    Union[str, Any]         =				''
						for category, failures in category_failures.items():
								if len(lowercase ) == 0:
										continue

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

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

						return {
						    "type": "section",
						    "text": {
						        "type": "mrkdwn",
						        "text": F'''The following examples had failures:\n\n\n{report}\n''',
						    },
						}
				@property
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Dict         =				[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(lowercase )
				@staticmethod
				def   lowerCAmelCase_       (						):



						"""simple docstring"""





						A_		:    Dict         =				[
						    {
						        '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(lowercase )} ) )

						client.chat_postMessage(
						    channel=os.environ['CI_SLACK_CHANNEL_ID_DAILY']		,     text='There was an issue running the tests.'		,     blocks=lowercase		,     )
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						print('Sending the following payload' )
						print(json.dumps({'blocks': json.loads(self.payload )} ) )

						A_		:    Optional[int]         =				F'''{self.n_failures} failures out of {self.n_tests} tests,''' if self.n_failures else 'All tests passed.'

						A_		:    Optional[Any]         =				client.chat_postMessage(
						    channel=os.environ['CI_SLACK_CHANNEL_ID_DAILY']		,     blocks=self.payload		,     text=lowercase		,     )
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase		,     lowercase		,     lowercase ):



						"""simple docstring"""





						A_		:    Optional[Any]         =				''
						for key, value in failures.items():
								A_		:    List[str]         =				value[:2_0_0] + ' [Truncated]' if len(lowercase ) > 2_5_0 else value
								failures_text += F'''*{key}*\n_{value}_\n\n'''

						A_		:    str         =				job_name
						A_		:    Optional[int]         =				{'type': 'section', 'text': {'type': 'mrkdwn', 'text': text}}

						if job_link is not None:
								A_		:    List[str]         =				{
								    '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 ):



						"""simple docstring"""





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

						A_		:    int         =				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' )

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

										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=lowercase		,     thread_ts=self.thread_ts['ts']		,     )

										time.sleep(1 )




def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    Optional[int]         =				os.environ['GITHUB_RUN_ID']
		A_		:    Optional[Any]         =				f'''https://api.github.com/repos/huggingface/transformers/actions/runs/{run_id}/jobs?per_page=100'''
		A_		:    List[str]         =				requests.get(__lowercase     ).json()
		A_		:    int         =				{}

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

				for i in range(__lowercase     ):
						A_		:    Union[str, 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.'						,__lowercase     )

		return {}




def     UpperCamelCase						(	__lowercase						:			str     ):
		'''simple docstring'''




		A_		:    Tuple         =				{}

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

		return _artifact




def     UpperCamelCase						(	):
		'''simple docstring'''




		class UpperCAmelCase						:


						'''simple docstring'''






						def __init__(						self		,     lowercase ):



								"""simple docstring"""





								A_		:    Tuple         =				name
								A_		:    Optional[Any]         =				[]
						def __str__(						self ):



								"""simple docstring"""





								return self.name







						def   lowerCAmelCase_       (						self		,     lowercase ):



								"""simple docstring"""





								self.paths.append({'name': self.name, 'path': path} )

		A_		:    Dict[str, Artifact]         =				{}

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

						_available_artifacts[artifact_name].add_path(__lowercase     )

		return _available_artifacts


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

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

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

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

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

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

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

						_UpperCAmelCase            =		all_failures[test] if test in all_failures else """N/A"""
						_UpperCAmelCase            =		failure
						break

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







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


_UpperCAmelCase            =		logging.get_logger(__name__)

_UpperCAmelCase            =		{"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

_UpperCAmelCase            =		{
    """vocab_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"""
        ),
        """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt""",
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """squeezebert/squeezebert-uncased""": (
            """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"""
        ),
        """squeezebert/squeezebert-mnli-headless""": (
            """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"""
        ),
    },
}

_UpperCAmelCase            =		{
    """squeezebert/squeezebert-uncased""": 512,
    """squeezebert/squeezebert-mnli""": 512,
    """squeezebert/squeezebert-mnli-headless""": 512,
}


_UpperCAmelCase            =		{
    """squeezebert/squeezebert-uncased""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli""": {"""do_lower_case""": True},
    """squeezebert/squeezebert-mnli-headless""": {"""do_lower_case""": True},
}





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				lowerCamelCase_    = VOCAB_FILES_NAMES
				lowerCamelCase_    = PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase_    = PRETRAINED_INIT_CONFIGURATION
				lowerCamelCase_    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase_    = SqueezeBertTokenizer
				def __init__(						self		,     lowercase=None		,     lowercase=None		,     lowercase=True		,     lowercase="[UNK]"		,     lowercase="[SEP]"		,     lowercase="[PAD]"		,     lowercase="[CLS]"		,     lowercase="[MASK]"		,     lowercase=True		,     lowercase=None		,     **lowercase		,     ):



						"""simple docstring"""





						super().__init__(
						    lowercase		,     tokenizer_file=lowercase		,     do_lower_case=lowercase		,     unk_token=lowercase		,     sep_token=lowercase		,     pad_token=lowercase		,     cls_token=lowercase		,     mask_token=lowercase		,     tokenize_chinese_chars=lowercase		,     strip_accents=lowercase		,     **lowercase		,     )

						A_		:    int         =				json.loads(self.backend_tokenizer.normalizer.__getstate__() )
						if (
						    normalizer_state.get('lowercase'		,     lowercase ) != do_lower_case
						    or normalizer_state.get('strip_accents'		,     lowercase ) != strip_accents
						    or normalizer_state.get('handle_chinese_chars'		,     lowercase ) != tokenize_chinese_chars
						):
								A_		:    Dict         =				getattr(lowercase		,     normalizer_state.pop('type' ) )
								A_		:    Optional[int]         =				do_lower_case
								A_		:    Optional[Any]         =				strip_accents
								A_		:    str         =				tokenize_chinese_chars
								A_		:    Any         =				normalizer_class(**lowercase )

						A_		:    Tuple         =				do_lower_case
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase=None ):



						"""simple docstring"""





						A_		:    str         =				[self.cls_token_id] + token_ids_a + [self.sep_token_id]

						if token_ids_a:
								output += token_ids_a + [self.sep_token_id]

						return output
				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase = None ):



						"""simple docstring"""





						A_		:    Dict         =				[self.sep_token_id]
						A_		:    Union[str, Any]         =				[self.cls_token_id]
						if token_ids_a is None:
								return len(cls + token_ids_a + sep ) * [0]
						return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]







				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase = None ):



						"""simple docstring"""





						A_		:    Dict         =				self._tokenizer.model.save(lowercase		,     name=lowercase )
						return tuple(lowercase )






