
"""simple docstring"""



import gc
import unittest

from diffusers import FlaxControlNetModel, FlaxStableDiffusionControlNetPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
 import jax
 import jax.numpy as jnp
 from flax.jax_utils import replicate
 from flax.training.common_utils import shard

@slow
@require_flax
class       lowerCAmelCase__				(						unittest.TestCase	):







     def      lowercase	(							self			:			int			):
       # clean up the VRAM after each test
       super().tearDown()
       gc.collect()







     def      lowercase	(							self			:			Optional[int]			):
       _snake_case     ,					_snake_case					     =       FlaxControlNetModel.from_pretrained(
           '''lllyasviel/sd-controlnet-canny'''    ,      from_pt=_lowerCamelCase    ,      dtype=jnp.bfloataa			)
       _snake_case     ,					_snake_case					     =       FlaxStableDiffusionControlNetPipeline.from_pretrained(
           '''runwayml/stable-diffusion-v1-5'''    ,      controlnet=_lowerCamelCase    ,      from_pt=_lowerCamelCase    ,      dtype=jnp.bfloataa			)
       _snake_case					     =       controlnet_params

       _snake_case					     =       '''bird'''
       _snake_case					     =       jax.device_count()
       _snake_case					     =       pipe.prepare_text_inputs([prompts] * num_samples			)

       _snake_case					     =       load_image(
           '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/bird_canny.png'''			)
       _snake_case					     =       pipe.prepare_image_inputs([canny_image] * num_samples			)

       _snake_case					     =       jax.random.PRNGKey(0			)
       _snake_case					     =       jax.random.split(_lowerCamelCase    ,      jax.device_count()			)

       _snake_case					     =       replicate(_lowerCamelCase			)
       _snake_case					     =       shard(_lowerCamelCase			)
       _snake_case					     =       shard(_lowerCamelCase			)

       _snake_case					     =       pipe(
           prompt_ids=_lowerCamelCase    ,      image=_lowerCamelCase    ,      params=_lowerCamelCase    ,      prng_seed=_lowerCamelCase    ,      num_inference_steps=50    ,      jit=_lowerCamelCase    ,      ).images
       assert images.shape == (jax.device_count(), 1, 768, 512, 3)

       _snake_case					     =       images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]			)
       _snake_case					     =       images[0, 253:256, 253:256, -1]

       _snake_case					     =       jnp.asarray(jax.device_get(image_slice.flatten()			)			)
       _snake_case					     =       jnp.array(
           [0.1_6_7_9_6_9, 0.1_1_6_6_9_9, 0.0_8_1_5_4_3, 0.1_5_4_2_9_7, 0.1_3_2_8_1_2, 0.1_0_8_8_8_7, 0.1_6_9_9_2_2, 0.1_6_9_9_2_2, 0.2_0_5_0_7_8]			)
       print(f'''output_slice: {output_slice}'''			)
       assert jnp.abs(output_slice - expected_slice			).max() < 1e-2







     def      lowercase	(							self			:			Union[str, Any]			):
       _snake_case     ,					_snake_case					     =       FlaxControlNetModel.from_pretrained(
           '''lllyasviel/sd-controlnet-openpose'''    ,      from_pt=_lowerCamelCase    ,      dtype=jnp.bfloataa			)
       _snake_case     ,					_snake_case					     =       FlaxStableDiffusionControlNetPipeline.from_pretrained(
           '''runwayml/stable-diffusion-v1-5'''    ,      controlnet=_lowerCamelCase    ,      from_pt=_lowerCamelCase    ,      dtype=jnp.bfloataa			)
       _snake_case					     =       controlnet_params

       _snake_case					     =       '''Chef in the kitchen'''
       _snake_case					     =       jax.device_count()
       _snake_case					     =       pipe.prepare_text_inputs([prompts] * num_samples			)

       _snake_case					     =       load_image(
           '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd_controlnet/pose.png'''			)
       _snake_case					     =       pipe.prepare_image_inputs([pose_image] * num_samples			)

       _snake_case					     =       jax.random.PRNGKey(0			)
       _snake_case					     =       jax.random.split(_lowerCamelCase    ,      jax.device_count()			)

       _snake_case					     =       replicate(_lowerCamelCase			)
       _snake_case					     =       shard(_lowerCamelCase			)
       _snake_case					     =       shard(_lowerCamelCase			)

       _snake_case					     =       pipe(
           prompt_ids=_lowerCamelCase    ,      image=_lowerCamelCase    ,      params=_lowerCamelCase    ,      prng_seed=_lowerCamelCase    ,      num_inference_steps=50    ,      jit=_lowerCamelCase    ,      ).images
       assert images.shape == (jax.device_count(), 1, 768, 512, 3)

       _snake_case					     =       images.reshape((images.shape[0] * images.shape[1],) + images.shape[-3:]			)
       _snake_case					     =       images[0, 253:256, 253:256, -1]

       _snake_case					     =       jnp.asarray(jax.device_get(image_slice.flatten()			)			)
       _snake_case					     =       jnp.array(
           [[0.2_7_1_4_8_4, 0.2_6_1_7_1_9, 0.2_7_5_3_9_1, 0.2_7_7_3_4_4, 0.2_7_9_2_9_7, 0.2_9_1_0_1_6, 0.2_9_4_9_2_2, 0.3_0_2_7_3_4, 0.3_0_2_7_3_4]]			)
       print(f'''output_slice: {output_slice}'''			)
       assert jnp.abs(output_slice - expected_slice			).max() < 1e-2





"""simple docstring"""



import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


UpperCAmelCase__          = 'http://www.mocksite.com/file1.txt'
UpperCAmelCase__          = '"text": ["foo", "foo"]'
UpperCAmelCase__          = '6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'

class       lowerCAmelCase__				:
     __a						=					200
     __a						=					{"""Content-Length""": """100"""}
     __a						=					{}







     def      lowercase	(							self			:			List[str]    ,      **_lowerCamelCase			:			List[str]			):
       return [bytes(_lowerCamelCase    ,      '''utf-8'''			)]






def 					_UpperCAmelCase      ( *__lowerCamelCase   :       List[str] ,					**__lowerCamelCase   :       Dict		)     ->					Dict:
  return MockResponse()
@pytest.mark.parametrize('''urls_type''' ,					[str, list, dict]		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Union[str, Any] ,					__lowerCamelCase   :       List[str] ,					__lowerCamelCase   :       str		)     ->					int:
  import requests

  monkeypatch.setattr(__lowerCamelCase ,					'''request''' ,					__lowerCamelCase		)

  _snake_case					     =       URL
  if issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       url
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       [url]
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       {'''train''': url}
  _snake_case					     =       '''dummy'''
  _snake_case					     =       '''downloads'''
  _snake_case					     =       tmp_path
  _snake_case					     =       DownloadConfig(
      cache_dir=os.path.join(__lowerCamelCase ,					__lowerCamelCase		) ,					use_etag=__lowerCamelCase ,					)
  _snake_case					     =       DownloadManager(dataset_name=__lowerCamelCase ,					download_config=__lowerCamelCase		)
  _snake_case					     =       dl_manager.download(__lowerCamelCase		)
  _snake_case					     =       urls
  for downloaded_paths in [downloaded_paths]:
    if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      _snake_case					     =       [downloaded_paths]
      _snake_case					     =       [urls]
    elif isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      assert "train" in downloaded_paths.keys()
      _snake_case					     =       downloaded_paths.values()
      _snake_case					     =       urls.values()
    assert downloaded_paths
    for downloaded_path, input_url in zip(__lowerCamelCase ,					__lowerCamelCase		):
      assert downloaded_path == dl_manager.downloaded_paths[input_url]
      _snake_case					     =       Path(__lowerCamelCase		)
      _snake_case					     =       downloaded_path.parts
      assert parts[-1] == HASH
      assert parts[-2] == cache_subdir
      assert downloaded_path.exists()
      _snake_case					     =       downloaded_path.read_text()
      assert content == CONTENT
      _snake_case					     =       downloaded_path.with_suffix('''.json'''		)
      assert metadata_downloaded_path.exists()
      _snake_case					     =       json.loads(metadata_downloaded_path.read_text()		)
      assert metadata_content == {"url": URL, "etag": None}
@pytest.mark.parametrize('''paths_type''' ,					[str, list, dict]		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       int ,					__lowerCamelCase   :       str ,					__lowerCamelCase   :       Optional[int]		)     ->					int:
  _snake_case					     =       str(__lowerCamelCase		)
  if issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       filename
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       [filename]
  elif issubclass(__lowerCamelCase ,					__lowerCamelCase		):
    _snake_case					     =       {'''train''': filename}
  _snake_case					     =       '''dummy'''
  _snake_case					     =       xz_file.parent
  _snake_case					     =       '''extracted'''
  _snake_case					     =       DownloadConfig(
      cache_dir=__lowerCamelCase ,					use_etag=__lowerCamelCase ,					)
  _snake_case					     =       DownloadManager(dataset_name=__lowerCamelCase ,					download_config=__lowerCamelCase		)
  _snake_case					     =       dl_manager.extract(__lowerCamelCase		)
  _snake_case					     =       paths
  for extracted_paths in [extracted_paths]:
    if isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      _snake_case					     =       [extracted_paths]
      _snake_case					     =       [paths]
    elif isinstance(__lowerCamelCase ,					__lowerCamelCase		):
      assert "train" in extracted_paths.keys()
      _snake_case					     =       extracted_paths.values()
      _snake_case					     =       paths.values()
    assert extracted_paths
    for extracted_path, input_path in zip(__lowerCamelCase ,					__lowerCamelCase		):
      assert extracted_path == dl_manager.extracted_paths[input_path]
      _snake_case					     =       Path(__lowerCamelCase		)
      _snake_case					     =       extracted_path.parts
      assert parts[-1] == hash_url_to_filename(__lowerCamelCase ,					etag=__lowerCamelCase		)
      assert parts[-2] == extracted_subdir
      assert extracted_path.exists()
      _snake_case					     =       extracted_path.read_text()
      _snake_case					     =       text_file.read_text()
      assert extracted_file_content == expected_file_content
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple ,					__lowerCamelCase   :       List[Any]		)     ->					Dict:
  assert path.endswith('''.jsonl'''		)
  for num_items, line in enumerate(__lowerCamelCase ,					start=1		):
    _snake_case					     =       json.loads(line.decode('''utf-8'''		)		)
    assert item.keys() == {"col_1", "col_2", "col_3"}
  assert num_items == 4
@pytest.mark.parametrize('''archive_jsonl''' ,					['''tar_jsonl_path''', '''zip_jsonl_path''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       Dict ,					__lowerCamelCase   :       str		)     ->					Dict:
  _snake_case					     =       request.getfixturevalue(__lowerCamelCase		)
  _snake_case					     =       DownloadManager()
  for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
    _test_jsonl(__lowerCamelCase ,					__lowerCamelCase		)
  assert num_jsonl == 2
@pytest.mark.parametrize('''archive_nested_jsonl''' ,					['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']		)
def 					_UpperCAmelCase      ( __lowerCamelCase   :       str ,					__lowerCamelCase   :       List[Any]		)     ->					Tuple:
  _snake_case					     =       request.getfixturevalue(__lowerCamelCase		)
  _snake_case					     =       DownloadManager()
  for num_tar, (path, file) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
    for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(__lowerCamelCase		) ,					start=1		):
      _test_jsonl(__lowerCamelCase ,					__lowerCamelCase		)
  assert num_tar == 1
  assert num_jsonl == 2

def 					_UpperCAmelCase      ( __lowerCamelCase   :       Tuple		)     ->					List[Any]:
  _snake_case					     =       DownloadManager()
  for num_file, file in enumerate(dl_manager.iter_files(__lowerCamelCase		) ,					start=1		):
    assert os.path.basename(__lowerCamelCase		) == ("test.txt" if num_file == 1 else "train.txt")
  assert num_file == 2



