

import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class SCREAMING_SNAKE_CASE	(		__snake_case				,    unittest.TestCase				):






			"""simple docstring"""




			__A    	=	GPTaTokenizer
			__A    	=	GPTaTokenizerFast
			__A    	=	True
			__A    	=	{"""add_prefix_space""": True}
			__A    	=	False


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				super().setUp()

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

				snake_case_   		=			os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['vocab_file']				)
				snake_case_   		=			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(__UpperCamelCase				) + '\n'				)
				with open(self.merges_file			,					'w'			,					encoding='utf-8'				) as fp:
					fp.write('\n'.join(__UpperCamelCase				)				)


			def       __lowerCAmelCase			(     self			,					**__UpperCamelCase				):

				"""simple docstring"""


				kwargs.update(self.special_tokens_map				)
				return GPTaTokenizer.from_pretrained(self.tmpdirname			,					**__UpperCamelCase				)


			def       __lowerCAmelCase			(     self			,					**__UpperCamelCase				):

				"""simple docstring"""


				kwargs.update(self.special_tokens_map				)
				return GPTaTokenizerFast.from_pretrained(self.tmpdirname			,					**__UpperCamelCase				)


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase				):

				"""simple docstring"""


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


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			GPTaTokenizer(self.vocab_file			,					self.merges_file			,					**self.special_tokens_map				)
				snake_case_   		=			'lower newer'
				snake_case_   		=			['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
				snake_case_   		=			tokenizer.tokenize(__UpperCamelCase			,					add_prefix_space=__UpperCamelCase				)
				self.assertListEqual(__UpperCamelCase			,					__UpperCamelCase				)

				snake_case_   		=			tokens + [tokenizer.unk_token]
				snake_case_   		=			[14, 15, 10, 9, 3, 2, 15, 19]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase				)			,					__UpperCamelCase				)


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				if not self.test_rust_tokenizer:
					return

				snake_case_   		=			self.get_tokenizer()
				snake_case_   		=			self.get_rust_tokenizer(add_prefix_space=__UpperCamelCase				)

				snake_case_   		=			'lower newer'

				# Testing tokenization
				snake_case_   		=			tokenizer.tokenize(__UpperCamelCase			,					add_prefix_space=__UpperCamelCase				)
				snake_case_   		=			rust_tokenizer.tokenize(__UpperCamelCase				)
				self.assertListEqual(__UpperCamelCase			,					__UpperCamelCase				)

				# Testing conversion to ids without special tokens
				snake_case_   		=			tokenizer.encode(__UpperCamelCase			,					add_special_tokens=__UpperCamelCase			,					add_prefix_space=__UpperCamelCase				)
				snake_case_   		=			rust_tokenizer.encode(__UpperCamelCase			,					add_special_tokens=__UpperCamelCase				)
				self.assertListEqual(__UpperCamelCase			,					__UpperCamelCase				)

				# Testing conversion to ids with special tokens
				snake_case_   		=			self.get_rust_tokenizer(add_prefix_space=__UpperCamelCase				)
				snake_case_   		=			tokenizer.encode(__UpperCamelCase			,					add_prefix_space=__UpperCamelCase				)
				snake_case_   		=			rust_tokenizer.encode(__UpperCamelCase				)
				self.assertListEqual(__UpperCamelCase			,					__UpperCamelCase				)

				# Testing the unknown token
				snake_case_   		=			tokens + [rust_tokenizer.unk_token]
				snake_case_   		=			[14, 15, 10, 9, 3, 2, 15, 19]
				self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(__UpperCamelCase				)			,					__UpperCamelCase				)


			def       __lowerCAmelCase			(     self			,					*__UpperCamelCase			,					**__UpperCamelCase				):

				"""simple docstring"""


				pass


			def       __lowerCAmelCase			(     self			,					__UpperCamelCase=15				):

				"""simple docstring"""


				for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
					with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
						snake_case_   		=			self.rust_tokenizer_class.from_pretrained(__UpperCamelCase			,					**__UpperCamelCase				)

						# Simple input
						snake_case_   		=			'This is a simple input'
						snake_case_   		=			['This is a simple input 1', 'This is a simple input 2']
						snake_case_   		=			('This is a simple input', 'This is a pair')
						snake_case_   		=			[
						    ('This is a simple input 1', 'This is a simple input 2'),
						    ('This is a simple pair 1', 'This is a simple pair 2'),
						]

						# Simple input tests
						self.assertRaises(__UpperCamelCase			,					tokenizer_r.encode			,					__UpperCamelCase			,					max_length=__UpperCamelCase			,					padding='max_length'				)

						# Simple input
						self.assertRaises(__UpperCamelCase			,					tokenizer_r.encode_plus			,					__UpperCamelCase			,					max_length=__UpperCamelCase			,					padding='max_length'				)

						# Simple input
						self.assertRaises(
						    __UpperCamelCase			,					tokenizer_r.batch_encode_plus			,					__UpperCamelCase			,					max_length=__UpperCamelCase			,					padding='max_length'			,					)

						# Pair input
						self.assertRaises(__UpperCamelCase			,					tokenizer_r.encode			,					__UpperCamelCase			,					max_length=__UpperCamelCase			,					padding='max_length'				)

						# Pair input
						self.assertRaises(__UpperCamelCase			,					tokenizer_r.encode_plus			,					__UpperCamelCase			,					max_length=__UpperCamelCase			,					padding='max_length'				)

						# Pair input
						self.assertRaises(
						    __UpperCamelCase			,					tokenizer_r.batch_encode_plus			,					__UpperCamelCase			,					max_length=__UpperCamelCase			,					padding='max_length'			,					)


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			GPTaTokenizer.from_pretrained(self.tmpdirname			,					pad_token='<pad>'				)

				# Simple input
				snake_case_   		=			'This is a simple input'
				snake_case_   		=			['This is a simple input looooooooong', 'This is a simple input']
				snake_case_   		=			('This is a simple input', 'This is a pair')
				snake_case_   		=			[
				    ('This is a simple input loooooong', 'This is a simple input'),
				    ('This is a simple pair loooooong', 'This is a simple pair'),
				]

				snake_case_   		=			tokenizer.pad_token_id

				snake_case_   		=			tokenizer(__UpperCamelCase			,					padding='max_length'			,					max_length=30			,					return_tensors='np'				)
				snake_case_   		=			tokenizer(__UpperCamelCase			,					padding=__UpperCamelCase			,					truncate=__UpperCamelCase			,					return_tensors='np'				)
				snake_case_   		=			tokenizer(*__UpperCamelCase			,					padding='max_length'			,					max_length=60			,					return_tensors='np'				)
				snake_case_   		=			tokenizer(__UpperCamelCase			,					padding=__UpperCamelCase			,					truncate=__UpperCamelCase			,					return_tensors='np'				)

				# s
				# test single string max_length padding
				self.assertEqual(out_s['input_ids'].shape[-1]			,					30				)
				self.assertTrue(pad_token_id in out_s['input_ids']				)
				self.assertTrue(0 in out_s['attention_mask']				)

				# s2
				# test automatic padding
				self.assertEqual(out_sa['input_ids'].shape[-1]			,					33				)
				# long slice doesn't have padding
				self.assertFalse(pad_token_id in out_sa['input_ids'][0]				)
				self.assertFalse(0 in out_sa['attention_mask'][0]				)
				# short slice does have padding
				self.assertTrue(pad_token_id in out_sa['input_ids'][1]				)
				self.assertTrue(0 in out_sa['attention_mask'][1]				)

				# p
				# test single pair max_length padding
				self.assertEqual(out_p['input_ids'].shape[-1]			,					60				)
				self.assertTrue(pad_token_id in out_p['input_ids']				)
				self.assertTrue(0 in out_p['attention_mask']				)

				# p2
				# test automatic padding pair
				self.assertEqual(out_pa['input_ids'].shape[-1]			,					52				)
				# long slice pair doesn't have padding
				self.assertFalse(pad_token_id in out_pa['input_ids'][0]				)
				self.assertFalse(0 in out_pa['attention_mask'][0]				)
				# short slice pair does have padding
				self.assertTrue(pad_token_id in out_pa['input_ids'][1]				)
				self.assertTrue(0 in out_pa['attention_mask'][1]				)


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			'$$$'
				snake_case_   		=			GPTaTokenizer.from_pretrained(self.tmpdirname			,					bos_token=__UpperCamelCase			,					add_bos_token=__UpperCamelCase				)

				snake_case_   		=			'This is a simple input'
				snake_case_   		=			['This is a simple input 1', 'This is a simple input 2']

				snake_case_   		=			tokenizer.bos_token_id

				snake_case_   		=			tokenizer(__UpperCamelCase				)
				snake_case_   		=			tokenizer(__UpperCamelCase				)

				self.assertEqual(out_s.input_ids[0]			,					__UpperCamelCase				)
				self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids				)				)

				snake_case_   		=			tokenizer.decode(out_s.input_ids				)
				snake_case_   		=			tokenizer.batch_decode(out_sa.input_ids				)

				self.assertEqual(decode_s.split()[0]			,					__UpperCamelCase				)
				self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa				)				)


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				pass







			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			[self.get_tokenizer(do_lower_case=__UpperCamelCase			,					add_bos_token=__UpperCamelCase				)]
				for tokenizer in tokenizers:
					with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
						snake_case_   		=			'Encode this.'
						snake_case_   		=			'This one too please.'
						snake_case_   		=			tokenizer.encode(__UpperCamelCase			,					add_special_tokens=__UpperCamelCase				)
						encoded_sequence += tokenizer.encode(__UpperCamelCase			,					add_special_tokens=__UpperCamelCase				)
						snake_case_   		=			tokenizer.encode_plus(
						    __UpperCamelCase			,					__UpperCamelCase			,					add_special_tokens=__UpperCamelCase			,					return_special_tokens_mask=__UpperCamelCase			,					)
						snake_case_   		=			encoded_sequence_dict['input_ids']
						snake_case_   		=			encoded_sequence_dict['special_tokens_mask']
						self.assertEqual(len(__UpperCamelCase				)			,					len(__UpperCamelCase				)				)

						snake_case_   		=			[
						    (x if not special_tokens_mask[i] else None) for i, x in enumerate(__UpperCamelCase				)
						]
						snake_case_   		=			[x for x in filtered_sequence if x is not None]
						self.assertEqual(__UpperCamelCase			,					__UpperCamelCase				)







@require_tokenizers
class SCREAMING_SNAKE_CASE	(		unittest.TestCase				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			AutoTokenizer.from_pretrained('facebook/opt-350m'			,					from_slow=__UpperCamelCase				)
				snake_case_   		=			'A photo of a cat'

				snake_case_   		=			tokenizer.encode(
				    __UpperCamelCase			,					)
				self.assertEqual(__UpperCamelCase			,					[2, 2_50, 13_45, 9, 10, 47_58]				)
				tokenizer.save_pretrained('test_opt'				)

				snake_case_   		=			AutoTokenizer.from_pretrained('./test_opt'				)
				snake_case_   		=			tokenizer.encode(
				    __UpperCamelCase			,					)
				self.assertEqual(__UpperCamelCase			,					[2, 2_50, 13_45, 9, 10, 47_58]				)


			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			AutoTokenizer.from_pretrained('facebook/opt-350m'			,					use_slow=__UpperCamelCase				)
				snake_case_   		=			'A photo of a cat'

				snake_case_   		=			tokenizer.encode(
				    __UpperCamelCase			,					)
				# Same as above
				self.assertEqual(__UpperCamelCase			,					[2, 2_50, 13_45, 9, 10, 47_58]				)







			@unittest.skip('This test is failing because of a bug in the fast tokenizer'				)
			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				snake_case_   		=			AutoTokenizer.from_pretrained('facebook/opt-350m'			,					from_slow=__UpperCamelCase				)

				snake_case_   		=			'bos'
				snake_case_   		=			tokenizer.get_vocab()['bos']

				snake_case_   		=			'A photo of a cat'
				snake_case_   		=			tokenizer.encode(
				    __UpperCamelCase			,					)
				# We changed the bos token
				self.assertEqual(__UpperCamelCase			,					[3_19_57, 2_50, 13_45, 9, 10, 47_58]				)
				tokenizer.save_pretrained('./tok'				)
				snake_case_   		=			AutoTokenizer.from_pretrained('./tok'				)
				self.assertTrue(tokenizer.is_fast				)
				snake_case_   		=			tokenizer.encode(
				    __UpperCamelCase			,					)
				self.assertEqual(__UpperCamelCase			,					[3_19_57, 2_50, 13_45, 9, 10, 47_58]				)



import unittest

from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script


@require_cpu
class SCREAMING_SNAKE_CASE	(		unittest.TestCase				):






			"""simple docstring"""




			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				debug_launcher(test_script.main				)







			def       __lowerCAmelCase			(     self				):

				"""simple docstring"""


				debug_launcher(test_ops.main				)
