






'''simple docstring'''

import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase      					=get_tests_dir("fixtures/test_sentencepiece.model")




@require_sentencepiece
@require_tokenizers
class      A     (   SCREAMING_SNAKE_CASE__, unittest.TestCase    ):






 """simple docstring"""





 __a      :    Tuple			  =    XGLMTokenizer
 __a      :    Optional[int]			  =    XGLMTokenizerFast
 __a      :    Optional[Any]			  =    True
 __a      :    Tuple			  =    True
 def 	_UpperCAmelCase							(				self			):
       super().setUp()

       # We have a SentencePiece fixture for testing
       UpperCamelCase_					: Optional[int]            =				XGLMTokenizer(__lowerCAmelCase      ,  keep_accents=__lowerCAmelCase			)
       tokenizer.save_pretrained(self.tmpdirname			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[str]            =				"""<pad>"""
       UpperCamelCase_					: str            =				1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCAmelCase			)      ,  __lowerCAmelCase			)
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCAmelCase			)      ,  __lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Union[str, Any]            =				list(self.get_tokenizer().get_vocab().keys()			)

       self.assertEqual(vocab_keys[0]      ,  """<s>"""			)
       self.assertEqual(vocab_keys[1]      ,  """<pad>"""			)
       self.assertEqual(len(__lowerCAmelCase			)      ,  10_08			)
 def 	_UpperCAmelCase							(				self			):
       self.assertEqual(self.get_tokenizer().vocab_size      ,  10_08			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: int            =				XGLMTokenizer(__lowerCAmelCase      ,  keep_accents=__lowerCAmelCase			)

       UpperCamelCase_					: Optional[Any]            =				tokenizer.tokenize("""This is a test"""			)
       self.assertListEqual(__lowerCAmelCase      ,  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]			)

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(__lowerCAmelCase			)      ,  [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]      ,  )

       UpperCamelCase_					: Union[str, Any]            =				tokenizer.tokenize("""I was born in 92000, and this is falsé."""			)
       self.assertListEqual(
           __lowerCAmelCase      ,  [
               SPIECE_UNDERLINE + """I""",
               SPIECE_UNDERLINE + """was""",
               SPIECE_UNDERLINE + """b""",
               """or""",
               """n""",
               SPIECE_UNDERLINE + """in""",
               SPIECE_UNDERLINE + """""",
               """9""",
               """2""",
               """0""",
               """0""",
               """0""",
               """,""",
               SPIECE_UNDERLINE + """and""",
               SPIECE_UNDERLINE + """this""",
               SPIECE_UNDERLINE + """is""",
               SPIECE_UNDERLINE + """f""",
               """al""",
               """s""",
               """é""",
               """.""",
           ]      ,  )
       UpperCamelCase_					: Dict            =				tokenizer.convert_tokens_to_ids(__lowerCAmelCase			)
       self.assertListEqual(
           __lowerCAmelCase      ,  [
               value + tokenizer.fairseq_offset
               for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
           ]      ,  )

       UpperCamelCase_					: Optional[int]            =				tokenizer.convert_ids_to_tokens(__lowerCAmelCase			)
       self.assertListEqual(
           __lowerCAmelCase      ,  [
               SPIECE_UNDERLINE + """I""",
               SPIECE_UNDERLINE + """was""",
               SPIECE_UNDERLINE + """b""",
               """or""",
               """n""",
               SPIECE_UNDERLINE + """in""",
               SPIECE_UNDERLINE + """""",
               """<unk>""",
               """2""",
               """0""",
               """0""",
               """0""",
               """,""",
               SPIECE_UNDERLINE + """and""",
               SPIECE_UNDERLINE + """this""",
               SPIECE_UNDERLINE + """is""",
               SPIECE_UNDERLINE + """f""",
               """al""",
               """s""",
               """<unk>""",
               """.""",
           ]      ,  )
 @cached_property
 def 	_UpperCAmelCase							(				self			):
       return XGLMTokenizer.from_pretrained("""facebook/xglm-564M"""			)
 def 	_UpperCAmelCase							(				self			):
       with tempfile.NamedTemporaryFile() as f:
             shutil.copyfile(__lowerCAmelCase      ,  f.name			)
             UpperCamelCase_					: int            =				XGLMTokenizer(f.name      ,  keep_accents=__lowerCAmelCase			)
             UpperCamelCase_					: List[Any]            =				pickle.dumps(__lowerCAmelCase			)
       pickle.loads(__lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self			):
       if not self.test_rust_tokenizer:
             return

       UpperCamelCase_					: Tuple            =				self.get_tokenizer()
       UpperCamelCase_					: Union[str, Any]            =				self.get_rust_tokenizer()

       UpperCamelCase_					: Optional[Any]            =				"""I was born in 92000, and this is falsé."""

       UpperCamelCase_					: Optional[int]            =				tokenizer.tokenize(__lowerCAmelCase			)
       UpperCamelCase_					: Union[str, Any]            =				rust_tokenizer.tokenize(__lowerCAmelCase			)
       self.assertListEqual(__lowerCAmelCase      ,  __lowerCAmelCase			)

       UpperCamelCase_					: Union[str, Any]            =				tokenizer.encode(__lowerCAmelCase      ,  add_special_tokens=__lowerCAmelCase			)
       UpperCamelCase_					: Tuple            =				rust_tokenizer.encode(__lowerCAmelCase      ,  add_special_tokens=__lowerCAmelCase			)
       self.assertListEqual(__lowerCAmelCase      ,  __lowerCAmelCase			)

       UpperCamelCase_					: int            =				self.get_rust_tokenizer()
       UpperCamelCase_					: str            =				tokenizer.encode(__lowerCAmelCase			)
       UpperCamelCase_					: Union[str, Any]            =				rust_tokenizer.encode(__lowerCAmelCase			)
       self.assertListEqual(__lowerCAmelCase      ,  __lowerCAmelCase			)
 @slow
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Dict            =				"""Hello World!"""
       UpperCamelCase_					: str            =				[2, 3_12_27, 44_47, 35]

       self.assertListEqual(__lowerCAmelCase      ,  self.big_tokenizer.encode(__lowerCAmelCase			)			)
 @slow
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[str]            =				(
           """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
           """ add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"""
       )
       # fmt: off
       UpperCamelCase_					: Optional[int]            =				[2, 10_18, 67, 11, 19_88, 26_17, 56_31, 2_78, 11, 34_07, 48, 7_16_30, 2_80_85, 4, 32_34, 1_57, 13, 6, 5, 6, 4, 35_26, 7_68, 15, 6_59, 57, 2_98, 39_83, 8_64, 1_29, 21, 6, 5, 1_36_75, 3_77, 6_52, 75_80, 1_03_41, 1_55, 28_17, 4_22, 16_66, 7, 16_74, 53, 1_13, 20_22_77, 1_78_92, 33, 60, 87, 4, 32_34, 1_57, 61, 26_67, 5_23_76, 19, 88, 23, 7_35]
       # fmt: on

       self.assertListEqual(__lowerCAmelCase      ,  self.big_tokenizer.encode(__lowerCAmelCase			)			)





 @slow
 def 	_UpperCAmelCase							(				self			):
       # fmt: off
       UpperCamelCase_					: List[Any]            =				{
           """input_ids""": [[2, 10_88_25, 11_63, 15, 8_80_10, 4_73, 1_58_98, 1_57, 1_36_72, 18_57, 3_12, 8, 23_80_21, 11_63, 53, 1_36_72, 18_57, 3_12, 8, 5_32_83, 18_23_96, 8, 1_85_66, 16, 3_67_33, 41_01, 8, 2_30, 24_40_17, 12_25_53, 7, 15, 13_25_97, 4, 2_93, 1_25_11, 76_10, 4, 34_14, 13_25_97, 9, 4, 3_23_61, 3_62, 4, 7_34, 2_85_12, 3_25_69, 18, 4, 3_23_61, 2_60_96, 1_49_82, 73, 1_87_15, 2_14_33, 23_52_61, 15, 4_92, 1_24_27, 16, 53, 1_87_15, 2_14_33, 6_54_54, 15, 2_36_59, 5_63, 16, 2_78, 5_97, 28_43, 5_95, 79_31, 18_23_96, 6_41_86, 22, 8_86, 5_95, 13_29_81, 53, 2_55_40, 34_49, 4_39_82, 3_99_01, 59_51, 8_78, 3_30, 4, 2_76_94, 8_02_69, 3_12, 53, 65_17, 1_17_80, 6_11, 2_04_08, 5], [2, 6, 13_25_97, 67, 4_28_97, 33, 5_92, 8, 16_37_29, 2_55_40, 3_61, 13_69_97, 10_95_14, 17_32_30, 7, 5_01, 60, 10_29_13, 1_96, 56_31, 2_35, 6_32_43, 4_73, 6, 23_17_57, 74, 52_77, 79_05, 53, 30_95, 3_73_17, 22, 4_54, 18_38_74, 5], [2, 2_68, 3_12_98, 4_65_30, 6, 13_29_35, 4_38_31, 7, 5_97, 32, 24, 36_88, 98_65, 5]],
           """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
       }  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=__lowerCAmelCase      ,  model_name="""facebook/xglm-564M"""      ,  padding=__lowerCAmelCase      ,  )














'''simple docstring'''

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

from tabulate import DataRow, TableFormat, tabulate


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


UpperCamelCase      					=[]
UpperCamelCase      					=[]

UpperCamelCase      					={"type": "section", "text": {"type": "plain_text", "text": "No failed tests! 🤗", "emoji": True}}

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

UpperCamelCase      					=0
for log in Path().glob("*.log"):
      UpperCamelCase      					=0
      with open(log, "r") as f:
            for line in f:
                  UpperCamelCase      					=json.loads(line)
                  if line.get("nodeid", "") != "":
                        UpperCamelCase      					=line["nodeid"]
                        if line.get("duration", None) is not None:
                              UpperCamelCase      					=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      					=[]
      log.unlink()

UpperCamelCase      					=""
UpperCamelCase      					=[]
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      					=[]
                  UpperCamelCase      					={}
                  for test in failed_tests:
                        UpperCamelCase      					=test[0].split("::")
                        UpperCamelCase      					=data[0].split("/")[-1]
                        if data[0] not in filesafailed:
                              UpperCamelCase      					=[data[1:]]
                        else:
                              filesafailed[data[0]] += [data[1:]]
                        failed_table.append(data)

                  UpperCamelCase      					=[test[0] for test in failed_table]
                  UpperCamelCase      					=list(set(files))
                  # Count number of instances in failed_tests
                  UpperCamelCase      					=[]
                  for file in individual_files:
                        table.append([file, len(filesafailed[file])])

                  UpperCamelCase      					=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      					="Too many failed tests, please see the full report in the Action results."
            UpperCamelCase      					=len(err) + 10
            UpperCamelCase      					=message[: 3000 - offset] + f"\n...\n```\n{err}"
      print(f"### {message}")
else:
      UpperCamelCase      					="No failed tests! 🤗"
      print(f"## {message}")
      payload.append(no_error_payload)

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

      UpperCamelCase      					=WebClient(token=os.environ["SLACK_API_TOKEN"])
      if message != "No failed tests! 🤗":
            UpperCamelCase      					={
                "type": "section",
                "text": {
                    "type": "mrkdwn",
                    "text": message,
                },
            }
            payload.append(md_report)
            UpperCamelCase      					={
                "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      					={
                "type": "context",
                "elements": [
                    {
                        "type": "plain_text",
                        "text": f"Nightly {os.environ.get('TEST_TYPE')} test results for {date.today()}",
                    }
                ],
            }
            payload.append(date_report)
      UpperCamelCase      					=client.chat_postMessage(channel="#accelerate-ci-daily", text=message, blocks=payload)
      UpperCamelCase      					=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      					=""
                  for i, row in enumerate(test_failures):
                        if row[0] != test_class:
                              UpperCamelCase      					=row[0]
                        else:
                              UpperCamelCase      					=""

                  UpperCamelCase      					={
                      "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],
                  )






