





'''simple docstring'''


import json
import os
import unittest

from transformers import BatchEncoding, LEDTokenizer, LEDTokenizerFast
from transformers.models.led.tokenization_led import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 				a_       (    _lowerCAmelCase     ,						unittest.TestCase							):
     __A								=      LEDTokenizer
     __A								=      LEDTokenizerFast
     __A								=      True





     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        super().setUp()
        lowercase_      :Union[str, Any]         =			[
            "l",
            "o",
            "w",
            "e",
            "r",
            "s",
            "t",
            "i",
            "d",
            "n",
            "\u0120",
            "\u0120l",
            "\u0120n",
            "\u0120lo",
            "\u0120low",
            "er",
            "\u0120lowest",
            "\u0120newer",
            "\u0120wider",
            "<unk>",
        ]
        lowercase_      :List[Any]         =			dict(zip(lowercase     ,				range(len(lowercase						)						)						)						)
        lowercase_      :Union[str, Any]         =			["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
        lowercase_      :Tuple         =			{"unk_token": "<unk>"}

        lowercase_      :int         =			os.path.join(self.tmpdirname     ,				VOCAB_FILES_NAMES["vocab_file"]						)
        lowercase_      :Optional[Any]         =			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(lowercase						) + "\n"						)
        with open(self.merges_file     ,				"w"     ,				encoding="utf-8"						) as fp:
           fp.write("\n".join(lowercase						)						)





     def 							lowercase__				(			self		: Tuple     ,				**lowercase		: int						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return self.tokenizer_class.from_pretrained(self.tmpdirname     ,				**lowercase						)





     def 							lowercase__				(			self		: Optional[int]     ,				**lowercase		: str						):





        """simple docstring"""




        kwargs.update(self.special_tokens_map						)
        return self.rust_tokenizer_class.from_pretrained(self.tmpdirname     ,				**lowercase						)





     def 							lowercase__				(			self		: List[Any]     ,				lowercase		: str						):





        """simple docstring"""




        return "lower newer", "lower newer"





     @cached_property
     def 							lowercase__				(			self		: List[str]						):





        """simple docstring"""




        return LEDTokenizer.from_pretrained("allenai/led-base-16384"						)





     @cached_property
     def 							lowercase__				(			self		: Union[str, Any]						):





        """simple docstring"""




        return LEDTokenizerFast.from_pretrained("allenai/led-base-16384"						)





     @require_torch
     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			["A long paragraph for summarization.", "Another paragraph for summarization."]
        lowercase_      :int         =			[0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           lowercase_      :Dict         =			tokenizer(lowercase     ,				max_length=len(lowercase						)     ,				padding=lowercase     ,				return_tensors="pt"						)
           self.assertIsInstance(lowercase     ,				lowercase						)

           self.assertEqual((2, 9)     ,				batch.input_ids.shape						)
           self.assertEqual((2, 9)     ,				batch.attention_mask.shape						)
           lowercase_      :Union[str, Any]         =			batch.input_ids.tolist()[0]
           self.assertListEqual(lowercase     ,				lowercase						)





     @require_torch
     def 							lowercase__				(			self		: Any						):





        """simple docstring"""




        lowercase_      :int         =			["A long paragraph for summarization.", "Another paragraph for summarization."]
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           lowercase_      :str         =			tokenizer(lowercase     ,				padding=lowercase     ,				return_tensors="pt"						)
           self.assertIn("input_ids"     ,				lowercase						)
           self.assertIn("attention_mask"     ,				lowercase						)
           self.assertNotIn("labels"     ,				lowercase						)
           self.assertNotIn("decoder_attention_mask"     ,				lowercase						)





     @require_torch
     def 							lowercase__				(			self		: Optional[Any]						):





        """simple docstring"""




        lowercase_      :Any         =			[
            "Summary of the text.",
            "Another summary.",
        ]
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           lowercase_      :Union[str, Any]         =			tokenizer(text_target=lowercase     ,				max_length=32     ,				padding="max_length"     ,				return_tensors="pt"						)
           self.assertEqual(32     ,				targets["input_ids"].shape[1]						)





     @require_torch
     def 							lowercase__				(			self		: Optional[int]						):





        """simple docstring"""




        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           lowercase_      :Optional[Any]         =			tokenizer(
               ["I am a small frog" * 1_024, "I am a small frog"]     ,				padding=lowercase     ,				truncation=lowercase     ,				return_tensors="pt"						)
           self.assertIsInstance(lowercase     ,				lowercase						)
           self.assertEqual(batch.input_ids.shape     ,				(2, 5_122)						)





     @require_torch
     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :List[Any]         =			["A long paragraph for summarization."]
        lowercase_      :List[str]         =			[
            "Summary of the text.",
        ]
        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           lowercase_      :str         =			tokenizer(lowercase     ,				return_tensors="pt"						)
           lowercase_      :List[Any]         =			tokenizer(text_target=lowercase     ,				return_tensors="pt"						)
           lowercase_      :List[str]         =			inputs["input_ids"]
           lowercase_      :Optional[int]         =			targets["input_ids"]
           self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item()						)
           self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item()						)
           self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item()						)
           self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item()						)





     @require_torch
     def 							lowercase__				(			self		: List[Any]						):





        """simple docstring"""




        for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
           lowercase_      :List[Any]         =			["Summary of the text.", "Another summary."]
           lowercase_      :List[str]         =			[[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, -1]]

           lowercase_      :Tuple         =			tokenizer(lowercase     ,				padding=lowercase						)
           lowercase_      :Optional[Any]         =			[[0] * len(lowercase						) for x in encoded_output["input_ids"]]
           lowercase_      :Optional[Any]         =			tokenizer.pad(lowercase						)
           self.assertSequenceEqual(outputs["global_attention_mask"]     ,				lowercase						)





     def 							lowercase__				(			self		: List[Any]						):





        """simple docstring"""




        pass







     def 							lowercase__				(			self		: Any						):





        """simple docstring"""




        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'						):
              lowercase_      :Dict         =			self.rust_tokenizer_class.from_pretrained(lowercase     ,				**lowercase						)
              lowercase_      :List[str]         =			self.tokenizer_class.from_pretrained(lowercase     ,				**lowercase						)
              lowercase_      :Any         =			"A, <mask> AllenNLP sentence."
              lowercase_      :Union[str, Any]         =			tokenizer_r.encode_plus(lowercase     ,				add_special_tokens=lowercase     ,				return_token_type_ids=lowercase						)
              lowercase_      :List[Any]         =			tokenizer_p.encode_plus(lowercase     ,				add_special_tokens=lowercase     ,				return_token_type_ids=lowercase						)
              self.assertEqual(sum(tokens_r["token_type_ids"]						)     ,				sum(tokens_p["token_type_ids"]						)						)
              self.assertEqual(
                  sum(tokens_r["attention_mask"]						) / len(tokens_r["attention_mask"]						)     ,				sum(tokens_p["attention_mask"]						) / len(tokens_p["attention_mask"]						)     ,				)

              lowercase_      :List[str]         =			tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]						)
              lowercase_      :str         =			tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]						)
              self.assertSequenceEqual(tokens_p["input_ids"]     ,				[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)
              self.assertSequenceEqual(tokens_r["input_ids"]     ,				[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]						)

              self.assertSequenceEqual(
                  lowercase     ,				["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)
              self.assertSequenceEqual(
                  lowercase     ,				["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]						)









'''simple docstring'''


from abc import ABC, abstractmethod
from argparse import ArgumentParser
class 				a_       (    _lowerCAmelCase							):





     @staticmethod
     @abstractmethod
     def 							lowercase__				(			lowercase		: ArgumentParser						):





        """simple docstring"""




        raise NotImplementedError()







     @abstractmethod
     def 							lowercase__				(			self		: str						):





        """simple docstring"""




        raise NotImplementedError()


