





'''simple docstring'''

import random
import unittest

import numpy as np

import transformers
from transformers import is_flax_available, is_torch_available
from transformers.testing_utils import is_pt_flax_cross_test, require_flax


if is_flax_available():
							import os

							import jax.numpy as jnp
							from jax import jit

							from transformers import AutoTokenizer, FlaxAutoModelForCausalLM
							from transformers.modeling_flax_pytorch_utils import load_flax_weights_in_pytorch_model

							__lowerCamelCase : str											=			"0.12"  # assumed parallelism: 8


if is_torch_available():
							import torch







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_		,							lowerCAmelCase_=None							):

				"""simple docstring"""






				if rng is None:
								lowercase         = random.Random()

				lowercase         = 1
				for dim in shape:
								total_dims *= dim

				lowercase         = []
				for _ in range(__A							):
								values.append(rng.randint(0		,							vocab_size - 1							)							)

				lowercase         = np.array(__A		,							dtype=jnp.intaa							).reshape(__A							)

				return output







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_=None							):

				"""simple docstring"""






				lowercase         = ids_tensor(__A		,							vocab_size=2		,							rng=__A							)
				# make sure that at least one token is attended to for each batch
				lowercase         = 1
				return attn_mask

@require_flax
class       UpperCAmelCase :
		UpperCAmelCase					:	Union[str, Any] 			=		None
		UpperCAmelCase					:	Union[str, Any] 			=		()




		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Tuple:
						lowercase         = self.model_tester.prepare_config_and_inputs_for_common()

						# cut to half length & take max batch_size 3
						lowercase         = 2
						lowercase         = inputs['''input_ids'''].shape[-1] // 2
						lowercase         = inputs['''input_ids'''][:max_batch_size, :sequence_length]

						lowercase         = jnp.ones_like(A__				)
						lowercase         = attention_mask[:max_batch_size, :sequence_length]

						# generate max 5 tokens
						lowercase         = input_ids.shape[-1] + 5
						if config.eos_token_id is not None and config.pad_token_id is None:
										# hack to allow generate for models such as GPT2 as is done in `generate()`
										lowercase         = config.eos_token_id
						return config, input_ids, attention_mask, max_length




		@is_pt_flax_cross_test
		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> List[Any]:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = False
						lowercase         = max_length
						lowercase         = 0

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model_class.__name__[4:]  # Skip the "Flax" at the beginning
										lowercase         = getattr(A__							,			A__				)
										lowercase         = pt_model_class(A__				).eval()
										lowercase         = load_flax_weights_in_pytorch_model(A__							,			flax_model.params				)

										lowercase         = flax_model.generate(A__				).sequences
										lowercase         = pt_model.generate(torch.tensor(A__							,			dtype=torch.long				)				)

										if flax_generation_outputs.shape[-1] > pt_generation_outputs.shape[-1]:
														lowercase         = flax_generation_outputs[:, : pt_generation_outputs.shape[-1]]

										self.assertListEqual(pt_generation_outputs.numpy().tolist()							,			flax_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> int:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = False
						lowercase         = max_length

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> int:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = True
						lowercase         = max_length

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> int:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = False
						lowercase         = max_length
						lowercase         = 2

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	int				)					-> Union[str, Any]:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = False
						lowercase         = max_length
						lowercase         = 2
						lowercase         = 2

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[0]							,			input_ids.shape[0] * config.num_return_sequences				)




		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> str:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = True
						lowercase         = max_length
						lowercase         = 0.8
						lowercase         = 1_0
						lowercase         = 0.3
						lowercase         = 1
						lowercase         = 8
						lowercase         = 9

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	str				)					-> Union[str, Any]:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = max_length
						lowercase         = 1
						lowercase         = 8
						lowercase         = 9

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	Tuple				)					-> Optional[int]:
						lowercase         = self._get_input_ids_and_config()
						lowercase         = max_length
						lowercase         = 2
						lowercase         = 1
						lowercase         = 8
						lowercase         = 9

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	int				)					-> Optional[Any]:
						lowercase         = self._get_input_ids_and_config()

						# pad attention mask on the left
						lowercase         = attention_mask.at[(0, 0)].set(0				)

						lowercase         = False
						lowercase         = max_length

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__							,			attention_mask=A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__							,			attention_mask=A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




		def 				UpperCAmelCase__   (self      :	Any				)					-> Any:
						lowercase         = self._get_input_ids_and_config()

						# pad attention mask on the left
						lowercase         = attention_mask.at[(0, 0)].set(0				)

						lowercase         = True
						lowercase         = max_length

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__							,			attention_mask=A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__							,			attention_mask=A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)





		def 				UpperCAmelCase__   (self      :	Union[str, Any]				)					-> Optional[int]:
						lowercase         = self._get_input_ids_and_config()

						# pad attention mask on the left
						lowercase         = attention_mask.at[(0, 0)].set(0				)

						lowercase         = 2
						lowercase         = max_length

						for model_class in self.all_generative_model_classes:
										lowercase         = model_class(A__				)

										lowercase         = model.generate(A__							,			attention_mask=A__				).sequences
										self.assertEqual(generation_outputs.shape[-1]							,			A__				)

										lowercase         = jit(model.generate				)
										lowercase         = jit_generate(A__							,			attention_mask=A__				).sequences

										self.assertListEqual(generation_outputs.tolist()							,			jit_generation_outputs.tolist()				)




@require_flax
class       UpperCAmelCase (						unittest.TestCase  ):




		def 				UpperCAmelCase__   (self      :	Tuple				)					-> List[str]:
						lowercase         = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-bert"				)
						lowercase         = FlaxAutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-bert-flax-only"				)

						lowercase         = '''Hello world'''
						lowercase         = tokenizer(A__							,			return_tensors="np"				).input_ids

						# typos are quickly detected (the correct argument is `do_sample`)
						with self.assertRaisesRegex(A__							,			"do_samples"				):
										model.generate(A__							,			do_samples=A__				)

						# arbitrary arguments that will not be used anywhere are also not accepted
						with self.assertRaisesRegex(A__							,			"foo"				):
										lowercase         = {'''foo''': '''bar'''}
										model.generate(A__							,			**A__				)











'''simple docstring'''

# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


__lowerCamelCase : Any											=			open  # noqa: we just need to have a builtin inside this module to test it properly




