
"""simple docstring"""


import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


A_    							=					"""\
    Text data.
    Second line of data."""

A_    							=					"""file"""






@pytest.fixture(scope='''session'''						)
def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  tmp_path_factory.mktemp('''data'''						) / (FILE_PATH + '''.zstd''')
			lowerCamelCase_					=  bytes(lowerCAmelCase__	,'''utf-8'''						)
			with zstd.open(lowerCAmelCase__	,'''wb'''						) as f:
						f.write(lowerCAmelCase__						)
			return path






@pytest.fixture
def  lowercase						(	lowerCAmelCase__						):
			with open(os.path.join(tmpfs.local_root_dir	,lowerCAmelCase__						)	,'''w'''						) as f:
						f.write(lowerCAmelCase__						)
			return FILE_PATH






@pytest.mark.parametrize('''compression_format'''	,['''gzip''', '''xz''', '''zstd''']						)
def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__						):
			lowerCamelCase_					=  {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_path}
			lowerCamelCase_					=  input_paths[compression_format]
			lowerCamelCase_					=  tmp_path / '''cache'''
			lowerCamelCase_					=  DownloadConfig(cache_dir=lowerCAmelCase__	,extract_compressed_file=lowerCAmelCase__						)
			lowerCamelCase_					=  cached_path(lowerCAmelCase__	,download_config=lowerCAmelCase__						)
			with open(lowerCAmelCase__						) as f:
						lowerCamelCase_					=  f.read()
			with open(lowerCAmelCase__						) as f:
						lowerCamelCase_					=  f.read()
			assert extracted_file_content == expected_file_content






@pytest.mark.parametrize('''default_extracted'''	,[True, False]						)
@pytest.mark.parametrize('''default_cache_dir'''	,[True, False]						)
def  lowercase						(	lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__	,lowerCAmelCase__						):
			lowerCamelCase_					=  '''custom_cache'''
			lowerCamelCase_					=  '''custom_extracted_dir'''
			lowerCamelCase_					=  tmp_path / '''custom_extracted_path'''
			if default_extracted:
						lowerCamelCase_					=  ('''downloads''' if default_cache_dir else custom_cache_dir, '''extracted''')
			else:
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_DIR'''	,lowerCAmelCase__						)
						monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''	,str(lowerCAmelCase__						)						)
						lowerCamelCase_					=  custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

			lowerCamelCase_					=  xz_file
			lowerCamelCase_					=  (
			    DownloadConfig(extract_compressed_file=lowerCAmelCase__						)
			    if default_cache_dir
			    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir	,extract_compressed_file=lowerCAmelCase__						)
			)
			lowerCamelCase_					=  cached_path(lowerCAmelCase__	,download_config=lowerCAmelCase__						)
			assert Path(lowerCAmelCase__						).parent.parts[-2:] == expected






def  lowercase						(	lowerCAmelCase__						):
			# absolute path
			lowerCamelCase_					=  str(Path(lowerCAmelCase__						).resolve()						)
			assert cached_path(lowerCAmelCase__						) == text_file
			# relative path
			lowerCamelCase_					=  str(Path(lowerCAmelCase__						).resolve().relative_to(Path(os.getcwd()						)						)						)
			assert cached_path(lowerCAmelCase__						) == text_file






def  lowercase						(	lowerCAmelCase__						):
			# absolute path
			lowerCamelCase_					=  str(tmp_path.resolve() / '''__missing_file__.txt'''						)
			with pytest.raises(lowerCAmelCase__						):
						cached_path(lowerCAmelCase__						)
			# relative path
			lowerCamelCase_					=  '''./__missing_file__.txt'''
			with pytest.raises(lowerCAmelCase__						):
						cached_path(lowerCAmelCase__						)






def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  get_from_cache(f"tmp://{tmpfs_file}"						)
			with open(lowerCAmelCase__						) as f:
						lowerCamelCase_					=  f.read()
			assert output_file_content == FILE_CONTENT






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCAmelCase__						)
def  lowercase						(	):
			with pytest.raises(lowerCAmelCase__						):
						cached_path('''https://huggingface.co'''						)






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCAmelCase__						)
def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  tmp_path_factory.mktemp('''data'''						) / '''file.html'''
			with pytest.raises(lowerCAmelCase__						):
						http_get('''https://huggingface.co'''	,temp_file=lowerCAmelCase__						)
			with pytest.raises(lowerCAmelCase__						):
						http_head('''https://huggingface.co'''						)






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCAmelCase__						)
def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  tmp_path_factory.mktemp('''data'''						) / '''file.html'''
			with pytest.raises(lowerCAmelCase__						):
						ftp_get('''ftp://huggingface.co'''	,temp_file=lowerCAmelCase__						)
			with pytest.raises(lowerCAmelCase__						):
						ftp_head('''ftp://huggingface.co'''						)






@patch('''datasets.config.HF_DATASETS_OFFLINE'''	,lowerCAmelCase__						)
def  lowercase						(	lowerCAmelCase__						):
			lowerCamelCase_					=  tmp_path_factory.mktemp('''data'''						) / '''file.html'''
			with pytest.raises(lowerCAmelCase__						):
						fsspec_get('''s3://huggingface.co'''	,temp_file=lowerCAmelCase__						)
			with pytest.raises(lowerCAmelCase__						):
						fsspec_head('''s3://huggingface.co'''						)





"""simple docstring"""


import unittest

import numpy as np

from transformers import is_flax_available
from transformers.testing_utils import require_flax

from ..test_modeling_flax_common import ids_tensor


if is_flax_available():
						import jax
						import jax.numpy as jnp

						from transformers.generation import (
						    FlaxForcedBOSTokenLogitsProcessor,
						    FlaxForcedEOSTokenLogitsProcessor,
						    FlaxLogitsProcessorList,
						    FlaxMinLengthLogitsProcessor,
						    FlaxTemperatureLogitsWarper,
						    FlaxTopKLogitsWarper,
						    FlaxTopPLogitsWarper,
						)




@require_flax
class  __lowerCamelCase  ( unittest.TestCase			):




				def        UpperCAmelCase__						(				self							,						UpperCAmelCase							,						UpperCAmelCase   ):
							lowerCamelCase_					=  jnp.ones((batch_size, length)   ) / length
							return scores




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  None
							lowerCamelCase_					=  20

							lowerCamelCase_					=  self._get_uniform_logits(batch_size=2							,						length=UpperCAmelCase   )

							# tweak scores to not be uniform anymore
							lowerCamelCase_					=  scores.at[1, 5].set((1 / length) + 0.1   )  # peak, 1st batch
							lowerCamelCase_					=  scores.at[1, 10].set((1 / length) - 0.4   )  # valley, 1st batch

							# compute softmax
							lowerCamelCase_					=  jax.nn.softmax(UpperCAmelCase							,						axis=-1   )

							lowerCamelCase_					=  FlaxTemperatureLogitsWarper(temperature=0.5   )
							lowerCamelCase_					=  FlaxTemperatureLogitsWarper(temperature=1.3   )

							lowerCamelCase_					=  jax.nn.softmax(temp_dist_warper_sharper(UpperCAmelCase							,						scores.copy()							,						cur_len=UpperCAmelCase   )							,						axis=-1   )
							lowerCamelCase_					=  jax.nn.softmax(temp_dist_warper_smoother(UpperCAmelCase							,						scores.copy()							,						cur_len=UpperCAmelCase   )							,						axis=-1   )

							# uniform distribution stays uniform
							self.assertTrue(jnp.allclose(probs[0, :]							,						warped_prob_sharp[0, :]							,						atol=1e-3   )   )
							self.assertTrue(jnp.allclose(probs[0, :]							,						warped_prob_smooth[0, :]							,						atol=1e-3   )   )

							# sharp peaks get higher, valleys get lower
							self.assertLess(probs[1, :].max()							,						warped_prob_sharp[1, :].max()   )
							self.assertGreater(probs[1, :].min()							,						warped_prob_sharp[1, :].min()   )

							# smooth peaks get lower, valleys get higher
							self.assertGreater(probs[1, :].max()							,						warped_prob_smooth[1, :].max()   )
							self.assertLess(probs[1, :].min()							,						warped_prob_smooth[1, :].min()   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  None
							lowerCamelCase_					=  10
							lowerCamelCase_					=  2

							# create ramp distribution
							lowerCamelCase_					=  np.broadcast_to(np.arange(UpperCAmelCase   )[None, :]							,						(batch_size, vocab_size)   ).copy()
							lowerCamelCase_					=  ramp_logits[1:, : vocab_size // 2] + vocab_size

							lowerCamelCase_					=  FlaxTopKLogitsWarper(3   )

							lowerCamelCase_					=  top_k_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )

							# check that correct tokens are filtered
							self.assertListEqual(jnp.isinf(scores[0]   ).tolist()							,						7 * [True] + 3 * [False]   )
							self.assertListEqual(jnp.isinf(scores[1]   ).tolist()							,						2 * [True] + 3 * [False] + 5 * [True]   )

							# check special case
							lowerCamelCase_					=  5
							lowerCamelCase_					=  FlaxTopKLogitsWarper(top_k=1							,						filter_value=0.0							,						min_tokens_to_keep=3   )

							lowerCamelCase_					=  np.broadcast_to(np.arange(UpperCAmelCase   )[None, :]							,						(batch_size, length)   ).copy()
							lowerCamelCase_					=  top_k_warp_safety_check(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )

							# min_tokens overwrites k: 3 tokens are kept => 2 tokens are nullified
							self.assertListEqual((scores == 0.0).sum(axis=-1   ).tolist()							,						[2, 2]   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  None
							lowerCamelCase_					=  10
							lowerCamelCase_					=  2

							# create distribution and take log (inverse to Softmax as taken in TopPLogitsWarper)
							lowerCamelCase_					=  np.log(np.array([[0.3, 0.1, 0.1, 0.5], [0.1_5, 0.3, 0.3, 0.2_5]]   )   )

							lowerCamelCase_					=  FlaxTopPLogitsWarper(0.8   )
							lowerCamelCase_					=  np.exp(top_p_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )   )

							# dist should be filtered to keep min num values so that sum is >= top_p
							# exp (-inf) => 0
							lowerCamelCase_					=  np.array([[0.3, 0.0, 0.0, 0.5], [0.0, 0.3, 0.3, 0.2_5]]   )
							self.assertTrue(np.allclose(UpperCAmelCase							,						UpperCAmelCase							,						atol=1e-3   )   )

							# check edge cases with negative and extreme logits
							lowerCamelCase_					=  np.broadcast_to(np.arange(UpperCAmelCase   )[None, :]							,						(batch_size, vocab_size)   ).copy() - (
							    vocab_size // 2
							)

							# make ramp_logits more extreme
							lowerCamelCase_					=  ramp_logits[1] * 1_0_0.0

							# make sure at least 2 tokens are kept
							lowerCamelCase_					=  FlaxTopPLogitsWarper(0.9							,						min_tokens_to_keep=2							,						filter_value=0.0   )
							lowerCamelCase_					=  top_p_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )

							# first batch should keep three tokens, second batch would keep only 1, but due to `min_tokens_to_keep=2` keeps 2.
							self.assertListEqual((filtered_dist != 0.0).sum(axis=-1   ).tolist()							,						[3, 2]   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  20
							lowerCamelCase_					=  4
							lowerCamelCase_					=  0

							lowerCamelCase_					=  FlaxMinLengthLogitsProcessor(min_length=10							,						eos_token_id=UpperCAmelCase   )

							# check that min length is applied at length 5
							lowerCamelCase_					=  ids_tensor((batch_size, 20)							,						vocab_size=20   )
							lowerCamelCase_					=  5
							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  min_dist_processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							self.assertListEqual(scores_before_min_length[:, eos_token_id].tolist()							,						4 * [-float('''inf'''   )]   )

							# check that min length is not applied anymore at length 15
							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  15
							lowerCamelCase_					=  min_dist_processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							self.assertFalse(jnp.isinf(UpperCAmelCase   ).any()   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  20
							lowerCamelCase_					=  4
							lowerCamelCase_					=  0

							lowerCamelCase_					=  FlaxForcedBOSTokenLogitsProcessor(bos_token_id=UpperCAmelCase   )

							# check that all scores are -inf except the bos_token_id score
							lowerCamelCase_					=  ids_tensor((batch_size, 1)							,						vocab_size=20   )
							lowerCamelCase_					=  1
							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  logits_processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							self.assertTrue(jnp.isneginf(scores[:, bos_token_id + 1 :]   ).all()   )
							self.assertListEqual(scores[:, bos_token_id].tolist()							,						4 * [0]   )  # score for bos_token_id shold be zero

							# check that bos_token_id is not forced if current length is greater than 1
							lowerCamelCase_					=  3
							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  logits_processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							self.assertFalse(jnp.isinf(UpperCAmelCase   ).any()   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  20
							lowerCamelCase_					=  4
							lowerCamelCase_					=  0
							lowerCamelCase_					=  5

							lowerCamelCase_					=  FlaxForcedEOSTokenLogitsProcessor(max_length=UpperCAmelCase							,						eos_token_id=UpperCAmelCase   )

							# check that all scores are -inf except the eos_token_id when max_length is reached
							lowerCamelCase_					=  ids_tensor((batch_size, 4)							,						vocab_size=20   )
							lowerCamelCase_					=  4
							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  logits_processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							self.assertTrue(jnp.isneginf(scores[:, eos_token_id + 1 :]   ).all()   )
							self.assertListEqual(scores[:, eos_token_id].tolist()							,						4 * [0]   )  # score for eos_token_id should be zero

							# check that eos_token_id is not forced if max_length is not reached
							lowerCamelCase_					=  3
							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  logits_processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							self.assertFalse(jnp.isinf(UpperCAmelCase   ).any()   )




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  4
							lowerCamelCase_					=  10
							lowerCamelCase_					=  15
							lowerCamelCase_					=  2
							lowerCamelCase_					=  1
							lowerCamelCase_					=  15

							# dummy input_ids and scores
							lowerCamelCase_					=  ids_tensor((batch_size, sequence_length)							,						UpperCAmelCase   )
							lowerCamelCase_					=  input_ids.copy()

							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  scores.copy()

							# instantiate all dist processors
							lowerCamelCase_					=  FlaxTemperatureLogitsWarper(temperature=0.5   )
							lowerCamelCase_					=  FlaxTopKLogitsWarper(3   )
							lowerCamelCase_					=  FlaxTopPLogitsWarper(0.8   )

							# instantiate all logits processors
							lowerCamelCase_					=  FlaxMinLengthLogitsProcessor(min_length=10							,						eos_token_id=UpperCAmelCase   )
							lowerCamelCase_					=  FlaxForcedBOSTokenLogitsProcessor(bos_token_id=UpperCAmelCase   )
							lowerCamelCase_					=  FlaxForcedEOSTokenLogitsProcessor(max_length=UpperCAmelCase							,						eos_token_id=UpperCAmelCase   )

							lowerCamelCase_					=  10

							# no processor list
							lowerCamelCase_					=  temp_dist_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							lowerCamelCase_					=  top_k_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							lowerCamelCase_					=  top_p_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							lowerCamelCase_					=  min_dist_proc(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							lowerCamelCase_					=  bos_dist_proc(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
							lowerCamelCase_					=  eos_dist_proc(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )

							# with processor list
							lowerCamelCase_					=  FlaxLogitsProcessorList(
							    [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]   )
							lowerCamelCase_					=  processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )

							# scores should be equal
							self.assertTrue(jnp.allclose(UpperCAmelCase							,						UpperCAmelCase							,						atol=1e-3   )   )

							# input_ids should never be changed
							self.assertListEqual(input_ids.tolist()							,						input_ids_comp.tolist()   )





				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  4
							lowerCamelCase_					=  10
							lowerCamelCase_					=  15
							lowerCamelCase_					=  2
							lowerCamelCase_					=  1
							lowerCamelCase_					=  15

							# dummy input_ids and scores
							lowerCamelCase_					=  ids_tensor((batch_size, sequence_length)							,						UpperCAmelCase   )
							lowerCamelCase_					=  input_ids.copy()

							lowerCamelCase_					=  self._get_uniform_logits(UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  scores.copy()

							# instantiate all dist processors
							lowerCamelCase_					=  FlaxTemperatureLogitsWarper(temperature=0.5   )
							lowerCamelCase_					=  FlaxTopKLogitsWarper(3   )
							lowerCamelCase_					=  FlaxTopPLogitsWarper(0.8   )

							# instantiate all logits processors
							lowerCamelCase_					=  FlaxMinLengthLogitsProcessor(min_length=10							,						eos_token_id=UpperCAmelCase   )
							lowerCamelCase_					=  FlaxForcedBOSTokenLogitsProcessor(bos_token_id=UpperCAmelCase   )
							lowerCamelCase_					=  FlaxForcedEOSTokenLogitsProcessor(max_length=UpperCAmelCase							,						eos_token_id=UpperCAmelCase   )

							lowerCamelCase_					=  10

							# no processor list
							def run_no_processor_list(UpperCAmelCase							,						UpperCAmelCase							,						UpperCAmelCase   ):
										lowerCamelCase_					=  temp_dist_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										lowerCamelCase_					=  top_k_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										lowerCamelCase_					=  top_p_warp(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										lowerCamelCase_					=  min_dist_proc(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										lowerCamelCase_					=  bos_dist_proc(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										lowerCamelCase_					=  eos_dist_proc(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										return scores

							# with processor list
							def run_processor_list(UpperCAmelCase							,						UpperCAmelCase							,						UpperCAmelCase   ):
										lowerCamelCase_					=  FlaxLogitsProcessorList(
										    [temp_dist_warp, top_k_warp, top_p_warp, min_dist_proc, bos_dist_proc, eos_dist_proc]   )
										lowerCamelCase_					=  processor(UpperCAmelCase							,						UpperCAmelCase							,						cur_len=UpperCAmelCase   )
										return scores

							lowerCamelCase_					=  jax.jit(UpperCAmelCase   )
							lowerCamelCase_					=  jax.jit(UpperCAmelCase   )

							lowerCamelCase_					=  jitted_run_no_processor_list(UpperCAmelCase							,						UpperCAmelCase							,						UpperCAmelCase   )
							lowerCamelCase_					=  jitted_run_processor_list(UpperCAmelCase							,						UpperCAmelCase							,						UpperCAmelCase   )

							# scores should be equal
							self.assertTrue(jnp.allclose(UpperCAmelCase							,						UpperCAmelCase							,						atol=1e-3   )   )

							# input_ids should never be changed
							self.assertListEqual(input_ids.tolist()							,						input_ids_comp.tolist()   )



