

'''simple docstring'''

import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 	lowerCAmelCase  (   A ,      unittest.TestCase ):
       lowerCAmelCase_												=			LongformerTokenizer
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			LongformerTokenizerFast
       lowerCAmelCase_												=			True







       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            __lowercase      		=[
                'l',
                'o',
                'w',
                'e',
                'r',
                's',
                't',
                'i',
                'd',
                'n',
                '\u0120',
                '\u0120l',
                '\u0120n',
                '\u0120lo',
                '\u0120low',
                'er',
                '\u0120lowest',
                '\u0120newer',
                '\u0120wider',
                '<unk>',
            ]
            __lowercase      		=dict(zip(__lowercase    ,   range(len(__lowercase   )   )   )   )
            __lowercase      		=['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
            __lowercase      		={'unk_token': '<unk>'}

            __lowercase      		=os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['vocab_file']   )
            __lowercase      		=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       snake_case (				self      :			Any    ,   **__lowercase      :			Union[str, Any]   ):







            """simple docstring"""







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







       def       snake_case (				self      :			Any    ,   **__lowercase      :			Any   ):







            """simple docstring"""







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







       def       snake_case (				self      :			Dict    ,   __lowercase      :			Dict   ):







            """simple docstring"""







            __lowercase      		='lower newer'
            __lowercase      		='lower newer'
            return input_text, output_text







       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            __lowercase      		=self.tokenizer_class(self.vocab_file    ,   self.merges_file    ,   **self.special_tokens_map   )
            __lowercase      		='lower newer'
            __lowercase      		=['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
            __lowercase      		=tokenizer.tokenize(__lowercase   )  # , add_prefix_space=True)
            self.assertListEqual(__lowercase    ,   __lowercase   )

            __lowercase      		=tokens + [tokenizer.unk_token]
            __lowercase      		=[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase   )    ,   __lowercase   )







       def       snake_case (				self      :			int   ):







            """simple docstring"""







            __lowercase      		=self.get_tokenizer()

            self.assertListEqual(tokenizer.encode('Hello world!'    ,   add_special_tokens=__lowercase   )    ,   [0, 31414, 232, 328, 2]   )
            self.assertListEqual(
                tokenizer.encode('Hello world! cécé herlolip 418'    ,   add_special_tokens=__lowercase   )    ,   [0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]    ,   )







       @slow
       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            __lowercase      		=self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'   )

            __lowercase      		=tokenizer.encode('sequence builders'    ,   add_special_tokens=__lowercase   )
            __lowercase      		=tokenizer.encode('multi-sequence build'    ,   add_special_tokens=__lowercase   )

            __lowercase      		=tokenizer.encode(
                'sequence builders'    ,   add_special_tokens=__lowercase    ,   add_prefix_space=__lowercase   )
            __lowercase      		=tokenizer.encode(
                'sequence builders'    ,   'multi-sequence build'    ,   add_special_tokens=__lowercase    ,   add_prefix_space=__lowercase   )

            __lowercase      		=tokenizer.build_inputs_with_special_tokens(__lowercase   )
            __lowercase      		=tokenizer.build_inputs_with_special_tokens(__lowercase    ,   __lowercase   )

            assert encoded_sentence == encoded_text_from_decode
            assert encoded_pair == encoded_pair_from_decode







       def       snake_case (				self      :			Tuple   ):







            """simple docstring"""







            __lowercase      		=self.get_tokenizer()

            __lowercase      		='Encode this sequence.'
            __lowercase      		=tokenizer.byte_encoder[' '.encode('utf-8'   )[0]]

            # Testing encoder arguments
            __lowercase      		=tokenizer.encode(__lowercase    ,   add_special_tokens=__lowercase    ,   add_prefix_space=__lowercase   )
            __lowercase      		=tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
            self.assertNotEqual(__lowercase    ,   __lowercase   )

            __lowercase      		=tokenizer.encode(__lowercase    ,   add_special_tokens=__lowercase    ,   add_prefix_space=__lowercase   )
            __lowercase      		=tokenizer.convert_ids_to_tokens(encoded[0]   )[0]
            self.assertEqual(__lowercase    ,   __lowercase   )

            tokenizer.add_special_tokens({'bos_token': '<s>'}   )
            __lowercase      		=tokenizer.encode(__lowercase    ,   add_special_tokens=__lowercase   )
            __lowercase      		=tokenizer.convert_ids_to_tokens(encoded[1]   )[0]
            self.assertNotEqual(__lowercase    ,   __lowercase   )

            # Testing spaces after special tokens
            __lowercase      		='<mask>'
            tokenizer.add_special_tokens(
                {'mask_token': AddedToken(__lowercase    ,   lstrip=__lowercase    ,   rstrip=__lowercase   )}   )  # mask token has a left space
            __lowercase      		=tokenizer.convert_tokens_to_ids(__lowercase   )

            __lowercase      		='Encode <mask> sequence'
            __lowercase      		='Encode <mask>sequence'

            __lowercase      		=tokenizer.encode(__lowercase   )
            __lowercase      		=encoded.index(__lowercase   )
            __lowercase      		=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
            self.assertEqual(__lowercase    ,   __lowercase   )

            __lowercase      		=tokenizer.encode(__lowercase   )
            __lowercase      		=encoded.index(__lowercase   )
            __lowercase      		=tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]   )[0]
            self.assertNotEqual(__lowercase    ,   __lowercase   )







       def       snake_case (				self      :			int   ):







            """simple docstring"""







            pass







       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(__lowercase    ,   **__lowercase   )
                      __lowercase      		=self.tokenizer_class.from_pretrained(__lowercase    ,   **__lowercase   )
                      __lowercase      		='A, <mask> AllenNLP sentence.'
                      __lowercase      		=tokenizer_r.encode_plus(__lowercase    ,   add_special_tokens=__lowercase    ,   return_token_type_ids=__lowercase   )
                      __lowercase      		=tokenizer_p.encode_plus(__lowercase    ,   add_special_tokens=__lowercase    ,   return_token_type_ids=__lowercase   )

                      # token_type_ids should put 0 everywhere
                      self.assertEqual(sum(tokens_r['token_type_ids']   )    ,   sum(tokens_p['token_type_ids']   )   )

                      # attention_mask should put 1 everywhere, so sum over length should be 1
                      self.assertEqual(
                          sum(tokens_r['attention_mask']   ) / len(tokens_r['attention_mask']   )    ,   sum(tokens_p['attention_mask']   ) / len(tokens_p['attention_mask']   )    ,   )

                      __lowercase      		=tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']   )
                      __lowercase      		=tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']   )

                      # Rust correctly handles the space before the mask while python doesnt
                      self.assertSequenceEqual(tokens_p['input_ids']    ,   [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]   )
                      self.assertSequenceEqual(tokens_r['input_ids']    ,   [0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2]   )

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







       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            for trim_offsets, add_prefix_space in itertools.product([True, False]    ,   repeat=2   ):
                 __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                     self.tmpdirname    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )

                 __lowercase      		=json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()   )
                 __lowercase      		=json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()   )

                 self.assertEqual(pre_tokenizer_state['add_prefix_space']    ,   __lowercase   )

                 self.assertEqual(post_processor_state['add_prefix_space']    ,   __lowercase   )
                 self.assertEqual(post_processor_state['trim_offsets']    ,   __lowercase   )







       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                 with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
                      __lowercase      		='hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                      __lowercase      		=f'''{text_of_1_token} {text_of_1_token}'''

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (len(__lowercase   ) + 1, len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (len(__lowercase   ) + 1, len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (len(__lowercase   ), len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (0, len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (len(__lowercase   ), len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )

                      __lowercase      		=f''' {text}'''

                      # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                      #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                      # )
                      # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                      # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                      # self.assertEqual(
                      #     encoding.offset_mapping[1],
                      #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                      # )

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (1, 1 + len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (1 + len(__lowercase   ) + 1, 1 + len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (0, 1 + len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (1 + len(__lowercase   ), 1 + len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )

                      __lowercase      		=self.rust_tokenizer_class.from_pretrained(
                          __lowercase    ,   use_fast=__lowercase    ,   add_prefix_space=__lowercase    ,   trim_offsets=__lowercase   )
                      __lowercase      		=tokenizer_r(__lowercase    ,   return_offsets_mapping=__lowercase    ,   add_special_tokens=__lowercase   )
                      self.assertEqual(encoding.offset_mapping[0]    ,   (0, 1 + len(__lowercase   ))   )
                      self.assertEqual(
                          encoding.offset_mapping[1]    ,   (1 + len(__lowercase   ), 1 + len(__lowercase   ) + 1 + len(__lowercase   ))    ,   )





'''simple docstring'''

import unittest

import numpy as np
import torch

from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()


class 	lowerCAmelCase  (   unittest.TestCase ):







       @property
       def       snake_case (				self      :			str   ):







            """simple docstring"""







            torch.manual_seed(0   )
            __lowercase      		=UNetaDModel(
                block_out_channels=(32, 64)    ,   layers_per_block=2    ,   sample_size=32    ,   in_channels=3    ,   out_channels=3    ,   down_block_types=('DownBlock2D', 'AttnDownBlock2D')    ,   up_block_types=('AttnUpBlock2D', 'UpBlock2D')    ,   )
            return model







       def       snake_case (				self      :			int   ):







            """simple docstring"""







            __lowercase      		=self.dummy_uncond_unet
            __lowercase      		=PNDMScheduler()

            __lowercase      		=PNDMPipeline(unet=__lowercase    ,   scheduler=__lowercase   )
            pndm.to(__lowercase   )
            pndm.set_progress_bar_config(disable=__lowercase   )

            __lowercase      		=torch.manual_seed(0   )
            __lowercase      		=pndm(generator=__lowercase    ,   num_inference_steps=20    ,   output_type='numpy'   ).images

            __lowercase      		=torch.manual_seed(0   )
            __lowercase      		=pndm(generator=__lowercase    ,   num_inference_steps=20    ,   output_type='numpy'    ,   return_dict=__lowercase   )[0]

            __lowercase      		=image[0, -3:, -3:, -1]
            __lowercase      		=image_from_tuple[0, -3:, -3:, -1]

            assert image.shape == (1, 32, 32, 3)
            __lowercase      		=np.array([1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0]   )

            assert np.abs(image_slice.flatten() - expected_slice   ).max() < 1E-2
            assert np.abs(image_from_tuple_slice.flatten() - expected_slice   ).max() < 1E-2






@slow
@require_torch
class 	lowerCAmelCase  (   unittest.TestCase ):







       def       snake_case (				self      :			Union[str, Any]   ):







            """simple docstring"""







            __lowercase      		='google/ddpm-cifar10-32'

            __lowercase      		=UNetaDModel.from_pretrained(__lowercase   )
            __lowercase      		=PNDMScheduler()

            __lowercase      		=PNDMPipeline(unet=__lowercase    ,   scheduler=__lowercase   )
            pndm.to(__lowercase   )
            pndm.set_progress_bar_config(disable=__lowercase   )
            __lowercase      		=torch.manual_seed(0   )
            __lowercase      		=pndm(generator=__lowercase    ,   output_type='numpy'   ).images

            __lowercase      		=image[0, -3:, -3:, -1]

            assert image.shape == (1, 32, 32, 3)
            __lowercase      		=np.array([0.1_5_6_4, 0.1_4_6_4_5, 0.1_4_0_6, 0.1_4_7_1_5, 0.1_2_4_2_5, 0.1_4_0_4_5, 0.1_3_1_1_5, 0.1_2_1_7_5, 0.1_2_5]   )

            assert np.abs(image_slice.flatten() - expected_slice   ).max() < 1E-2


