




import json
import os
from datetime import date
from pathlib import Path

from tabulate import DataRow, TableFormat, tabulate


UpperCAmelCase_		:				Tuple									=     TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("", "|", "|"),
    datarow=DataRow("", "|", "|"),
    padding=1,
    with_header_hide=None,
)


UpperCAmelCase_		:				Tuple									=     []
UpperCAmelCase_		:				List[str]									=     []

UpperCAmelCase_		:				Optional[Any]									=     {"type": "section", "text": {"type": "plain_text", "text": "No failed tests! 🤗", "emoji": True}}

UpperCAmelCase_		:				Tuple									=     [
    {
        "type": "header",
        "text": {
            "type": "plain_text",
            "text": F"""🤗 Accelerate nightly {os.environ.get("TEST_TYPE", "")} test results""",
            "emoji": True,
        },
    }
]

UpperCAmelCase_		:				Optional[int]									=     0
for log in Path().glob("*.log"):
							UpperCAmelCase_		:				str									=     0
							with open(log, "r") as f:
														for line in f:
																					UpperCAmelCase_		:				str									=     json.loads(line)
																					if line.get("nodeid", "") != "":
																												UpperCAmelCase_		:				str									=     line["nodeid"]
																												if line.get("duration", None) is not None:
																																			UpperCAmelCase_		:				Optional[Any]									=     F"""{line["duration"]:.4f}"""
																																			if line.get("outcome", "") == "failed":
																																										section_num_failed += 1
																																										failed.append([test, duration, log.name.split("_")[0]])
																																										total_num_failed += 1
							group_info.append([str(log), section_num_failed, failed])
							UpperCAmelCase_		:				Dict									=     []
							log.unlink()

UpperCAmelCase_		:				Union[str, Any]									=     ""
UpperCAmelCase_		:				Optional[Any]									=     []
if total_num_failed > 0:
							for name, num_failed, failed_tests in group_info:
														if num_failed > 0:
																					if num_failed == 1:
																												message += F"*{name[1:]}: {num_failed} failed test*\n"
																					else:
																												message += F"*{name[1:]}: {num_failed} failed tests*\n"
																					UpperCAmelCase_		:				Dict									=     []
																					UpperCAmelCase_		:				List[str]									=     {}
																					for test in failed_tests:
																												UpperCAmelCase_		:				Union[str, Any]									=     test[0].split("::")
																												UpperCAmelCase_		:				Tuple									=     data[0].split("/")[-1]
																												if data[0] not in filesafailed:
																																			UpperCAmelCase_		:				Optional[Any]									=     [data[1:]]
																												else:
																																			filesafailed[data[0]] += [data[1:]]
																												failed_table.append(data)

																					UpperCAmelCase_		:				List[str]									=     [test[0] for test in failed_table]
																					UpperCAmelCase_		:				Union[str, Any]									=     list(set(files))
																					# Count number of instances in failed_tests
																					UpperCAmelCase_		:				Optional[int]									=     []
																					for file in individual_files:
																												table.append([file, len(filesafailed[file])])

																					UpperCAmelCase_		:				str									=     tabulate(
																					    table,
																					    headers=["Test Location", "Num Failed"],
																					    tablefmt=hf_table_format,
																					    stralign="right",
																					)
																					message += F"\n```\n{failed_table}\n```"
																					all_filesafailed.append(filesafailed)
							if len(message) > 3000:
														UpperCAmelCase_		:				int									=     "Too many failed tests, please see the full report in the Action results."
														UpperCAmelCase_		:				List[Any]									=     len(err) + 10
														UpperCAmelCase_		:				Optional[Any]									=     message[: 3000 - offset] + F"""\n...\n```\n{err}"""
							print(F"""### {message}""")
else:
							UpperCAmelCase_		:				int									=     "No failed tests! 🤗"
							print(F"""## {message}""")
							payload.append(no_error_payload)

if os.environ.get("TEST_TYPE", "") != "":
							from slack_sdk import WebClient

							UpperCAmelCase_		:				List[Any]									=     WebClient(token=os.environ["SLACK_API_TOKEN"])
							if message != "No failed tests! 🤗":
														UpperCAmelCase_		:				Tuple									=     {
														    "type": "section",
														    "text": {
														        "type": "mrkdwn",
														        "text": message,
														    },
														}
														payload.append(md_report)
														UpperCAmelCase_		:				Optional[Any]									=     {
														    "type": "section",
														    "text": {
														        "type": "mrkdwn",
														        "text": "*For more details:*",
														    },
														    "accessory": {
														        "type": "button",
														        "text": {
														            "type": "plain_text",
														            "text": "Check Action results",
														            "emoji": True,
														        },
														        "url": F"""https://github.com/{os.environ["GITHUB_REPOSITORY"]}/actions/runs/{os.environ["GITHUB_RUN_ID"]}""",
														    },
														}
														payload.append(action_button)
														UpperCAmelCase_		:				List[str]									=     {
														    "type": "context",
														    "elements": [
														        {
														            "type": "plain_text",
														            "text": F"""Nightly {os.environ.get("TEST_TYPE")} test results for {date.today()}""",
														        }
														    ],
														}
														payload.append(date_report)
							UpperCAmelCase_		:				List[Any]									=     client.chat_postMessage(channel="#accelerate-ci-daily", text=message, blocks=payload)
							UpperCAmelCase_		:				Union[str, Any]									=     response.data["ts"]
							for failed_file in all_filesafailed:
														for test_location, test_failures in failed_file.items():
																					# Keep only the first instance of the test name
																					UpperCAmelCase_		:				Tuple									=     ""
																					for i, row in enumerate(test_failures):
																												if row[0] != test_class:
																																			UpperCAmelCase_		:				int									=     row[0]
																												else:
																																			UpperCAmelCase_		:				Union[str, Any]									=     ""

																					UpperCAmelCase_		:				List[str]									=     {
																					    "type": "section",
																					    "text": {
																					        "type": "mrkdwn",
																					        "text": F"""Test location: {test_location}\n```\n{tabulate(test_failures, headers=["Class", "Test"], tablefmt=hf_table_format, stralign="right")}\n```""",
																					    },
																					}

																					client.chat_postMessage(
																					    channel="#accelerate-ci-daily",
																					    thread_ts=ts,
																					    blocks=[payload],
																					)










import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin




class 		__A      (			UpperCamelCase__					,						unittest.TestCase			):
						UpperCamelCase     						=					BlenderbotSmallTokenizer
						UpperCamelCase     						=					False

						def     A__						(		self   :Dict ):
										'''simple docstring'''

										super().setUp()

										__magic_name__	:	Tuple								=["""__start__""", """adapt""", """act""", """ap@@""", """te""", """__end__""", """__unk__"""]
										__magic_name__	:	Optional[Any]								=dict(zip(__snake_case    , range(len(__snake_case ) ) ) )

										__magic_name__	:	List[Any]								=["""#version: 0.2""", """a p""", """t e</w>""", """ap t</w>""", """a d""", """ad apt</w>""", """a c""", """ac t</w>""", """"""]
										__magic_name__	:	int								={"""unk_token""": """__unk__""", """bos_token""": """__start__""", """eos_token""": """__end__"""}

										__magic_name__	:	Dict								=os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES["""vocab_file"""] )
										__magic_name__	:	int								=os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES["""merges_file"""] )
										with open(self.vocab_file    , """w"""    , encoding="""utf-8""" ) as fp:
														fp.write(json.dumps(__snake_case ) + """\n""" )
										with open(self.merges_file    , """w"""    , encoding="""utf-8""" ) as fp:
														fp.write("""\n""".join(__snake_case ) )

						def     A__						(		self   :Union[str, Any]    , **__snake_case   :Optional[int] ):
										'''simple docstring'''

										kwargs.update(self.special_tokens_map )
										return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname    , **__snake_case )

						def     A__						(		self   :str    , __snake_case   :List[Any] ):
										'''simple docstring'''

										__magic_name__	:	Any								="""adapt act apte"""
										__magic_name__	:	str								="""adapt act apte"""
										return input_text, output_text

						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	Tuple								=BlenderbotSmallTokenizer(self.vocab_file    , self.merges_file    , **self.special_tokens_map )
										__magic_name__	:	List[str]								="""adapt act apte"""
										__magic_name__	:	Optional[int]								=["""adapt""", """act""", """ap@@""", """te"""]
										__magic_name__	:	List[Any]								=tokenizer.tokenize(__snake_case )
										self.assertListEqual(__snake_case    , __snake_case )

										__magic_name__	:	int								=[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

										__magic_name__	:	Any								=[0, 1, 2, 3, 4, 5]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case )    , __snake_case )

						def     A__						(		self   :Optional[int] ):
										'''simple docstring'''

										__magic_name__	:	Any								=BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M""" )
										assert tok("""sam""" ).input_ids == [13_84]
										__magic_name__	:	Tuple								="""I am a small frog."""
										__magic_name__	:	Tuple								=tok([src_text]    , padding=__snake_case    , truncation=__snake_case )["""input_ids"""]
										__magic_name__	:	Optional[Any]								=tok.batch_decode(__snake_case    , skip_special_tokens=__snake_case    , clean_up_tokenization_spaces=__snake_case )[0]
										assert src_text != decoded  # I wish it did!
										assert decoded == "i am a small frog ."


						def     A__						(		self   :Optional[Any] ):
										'''simple docstring'''

										__magic_name__	:	List[Any]								=BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M""" )
										__magic_name__	:	int								="""I am a small frog ."""
										__magic_name__	:	List[Any]								="""."""
										__magic_name__	:	List[str]								=tok(__snake_case )["""input_ids"""]
										__magic_name__	:	List[str]								=tok(__snake_case )["""input_ids"""]

										assert encoded[-1] == encoded_dot[0]




