

import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


__UpperCAmelCase    				=     (
    'https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'
)


__UpperCAmelCase    				=     logging.get_logger(__name__)  # pylint: disable=invalid-name







def 	_snake_case		(    )       ->      Union[str, Any]:

     """simple docstring"""







     _lowerCAmelCase   :					List[Any]        =    "https://pypi.org/pypi/diffusers/json"
     _lowerCAmelCase   :					Tuple        =    json.loads(request.urlopen(SCREAMING_SNAKE_CASE				).read()				)["releases"].keys()
     return sorted(SCREAMING_SNAKE_CASE		,							key=lambda SCREAMING_SNAKE_CASE				: version.Version(SCREAMING_SNAKE_CASE				)				)







def 	_snake_case		(    )       ->      Union[str, Any]:

     """simple docstring"""







     if HF_MODULES_CACHE in sys.path:
          return

     sys.path.append(SCREAMING_SNAKE_CASE				)
     os.makedirs(SCREAMING_SNAKE_CASE		,							exist_ok=SCREAMING_SNAKE_CASE				)
     _lowerCAmelCase   :					str        =    Path(SCREAMING_SNAKE_CASE				) / "__init__.py"
     if not init_path.exists():
          init_path.touch()







def 	_snake_case		(    SCREAMING_SNAKE_CASE				)       ->      List[Any]:

     """simple docstring"""







     init_hf_modules()
     _lowerCAmelCase   :					List[Any]        =    Path(SCREAMING_SNAKE_CASE				) / name
     # If the parent module does not exist yet, recursively create it.
     if not dynamic_module_path.parent.exists():
          create_dynamic_module(dynamic_module_path.parent				)
     os.makedirs(SCREAMING_SNAKE_CASE		,							exist_ok=SCREAMING_SNAKE_CASE				)
     _lowerCAmelCase   :					List[Any]        =    dynamic_module_path / "__init__.py"
     if not init_path.exists():
          init_path.touch()







def 	_snake_case		(    SCREAMING_SNAKE_CASE				)       ->      Union[str, Any]:

     """simple docstring"""







     with open(SCREAMING_SNAKE_CASE		,							"r"		,							encoding="utf-8"				) as f:
          _lowerCAmelCase   :					Union[str, Any]        =    f.read()

     # Imports of the form `import .xxx`
     _lowerCAmelCase   :					int        =    re.findall("^\s*import\s+\.(\S+)\s*$"		,							SCREAMING_SNAKE_CASE		,							flags=re.MULTILINE				)
     # Imports of the form `from .xxx import yyy`
     relative_imports += re.findall("^\s*from\s+\.(\S+)\s+import"		,							SCREAMING_SNAKE_CASE		,							flags=re.MULTILINE				)
     # Unique-ify
     return list(set(SCREAMING_SNAKE_CASE				)				)







def 	_snake_case		(    SCREAMING_SNAKE_CASE				)       ->      Dict:

     """simple docstring"""







     _lowerCAmelCase   :					List[str]        =    False
     _lowerCAmelCase   :					Union[str, Any]        =    [module_file]
     _lowerCAmelCase   :					List[str]        =    []

     # Let's recurse through all relative imports
     while not no_change:
          _lowerCAmelCase   :					List[str]        =    []
          for f in files_to_check:
               new_imports.extend(get_relative_imports(SCREAMING_SNAKE_CASE				)				)

          _lowerCAmelCase   :					Union[str, Any]        =    Path(SCREAMING_SNAKE_CASE				).parent
          _lowerCAmelCase   :					Any        =    [str(module_path / m				) for m in new_imports]
          _lowerCAmelCase   :					Union[str, Any]        =    [f for f in new_import_files if f not in all_relative_imports]
          _lowerCAmelCase   :					List[Any]        =    [f'''{f}.py''' for f in new_import_files]

          _lowerCAmelCase   :					Union[str, Any]        =    len(SCREAMING_SNAKE_CASE				) == 0
          all_relative_imports.extend(SCREAMING_SNAKE_CASE				)

     return all_relative_imports







def 	_snake_case		(    SCREAMING_SNAKE_CASE				)       ->      Any:

     """simple docstring"""







     with open(SCREAMING_SNAKE_CASE		,							"r"		,							encoding="utf-8"				) as f:
          _lowerCAmelCase   :					Any        =    f.read()

     # Imports of the form `import xxx`
     _lowerCAmelCase   :					Any        =    re.findall("^\s*import\s+(\S+)\s*$"		,							SCREAMING_SNAKE_CASE		,							flags=re.MULTILINE				)
     # Imports of the form `from xxx import yyy`
     imports += re.findall("^\s*from\s+(\S+)\s+import"		,							SCREAMING_SNAKE_CASE		,							flags=re.MULTILINE				)
     # Only keep the top-level module
     _lowerCAmelCase   :					str        =    [imp.split("."				)[0] for imp in imports if not imp.startswith("."				)]

     # Unique-ify and test we got them all
     _lowerCAmelCase   :					str        =    list(set(SCREAMING_SNAKE_CASE				)				)
     _lowerCAmelCase   :					Tuple        =    []
     for imp in imports:
          try:
               importlib.import_module(SCREAMING_SNAKE_CASE				)
          except ImportError:
               missing_packages.append(SCREAMING_SNAKE_CASE				)

     if len(SCREAMING_SNAKE_CASE				) > 0:
          raise ImportError(
              "This modeling file requires the following packages that were not found in your environment: "
              f'''{', '.join(SCREAMING_SNAKE_CASE				)}. Run `pip install {' '.join(SCREAMING_SNAKE_CASE				)}`'''				)

     return get_relative_imports(SCREAMING_SNAKE_CASE				)







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      Dict:

     """simple docstring"""







     _lowerCAmelCase   :					str        =    module_path.replace(os.path.sep		,							"."				)
     _lowerCAmelCase   :					str        =    importlib.import_module(SCREAMING_SNAKE_CASE				)

     if class_name is None:
          return find_pipeline_class(SCREAMING_SNAKE_CASE				)
     return getattr(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)







def 	_snake_case		(    SCREAMING_SNAKE_CASE				)       ->      List[Any]:

     """simple docstring"""







     from ..pipelines import DiffusionPipeline

     _lowerCAmelCase   :					Union[str, Any]        =    dict(inspect.getmembers(SCREAMING_SNAKE_CASE		,							inspect.isclass				)				)

     _lowerCAmelCase   :					Optional[Any]        =    None
     for cls_name, cls in cls_members.items():
          if (
              cls_name != DiffusionPipeline.__name__
              and issubclass(cls		,							SCREAMING_SNAKE_CASE				)
              and cls.__module__.split("."				)[0] != "diffusers"
          ):
               if pipeline_class is not None:
                    raise ValueError(
                        f'''Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:'''
                        f''' {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in'''
                        f''' {loaded_module}.'''				)
               _lowerCAmelCase   :					Union[str, Any]        =    cls

     return pipeline_class







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = False		,							SCREAMING_SNAKE_CASE = False		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = False		,							)       ->      str:

     """simple docstring"""







     _lowerCAmelCase   :					Optional[Any]        =    str(SCREAMING_SNAKE_CASE				)

     _lowerCAmelCase   :					str        =    os.path.join(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)

     if os.path.isfile(SCREAMING_SNAKE_CASE				):
          _lowerCAmelCase   :					int        =    module_file_or_url
          _lowerCAmelCase   :					Optional[int]        =    "local"
     elif pretrained_model_name_or_path.count("/"				) == 0:
          _lowerCAmelCase   :					Any        =    get_diffusers_versions()
          # cut ".dev0"
          _lowerCAmelCase   :					Optional[int]        =    "v" + ".".join(__version__.split("."				)[:3]				)

          # retrieve github version that matches
          if revision is None:
               _lowerCAmelCase   :					int        =    latest_version if latest_version[1:] in available_versions else "main"
               logger.info(f'''Defaulting to latest_version: {revision}.'''				)
          elif revision in available_versions:
               _lowerCAmelCase   :					Tuple        =    f'''v{revision}'''
          elif revision == "main":
               _lowerCAmelCase   :					Any        =    revision
          else:
               raise ValueError(
                   f'''`custom_revision`: {revision} does not exist. Please make sure to choose one of'''
                   f''' {', '.join(available_versions + ['main']				)}.'''				)

          # community pipeline on GitHub
          _lowerCAmelCase   :					Dict        =    COMMUNITY_PIPELINES_URL.format(revision=SCREAMING_SNAKE_CASE		,							pipeline=SCREAMING_SNAKE_CASE				)
          try:
               _lowerCAmelCase   :					str        =    cached_download(
                   SCREAMING_SNAKE_CASE		,							cache_dir=SCREAMING_SNAKE_CASE		,							force_download=SCREAMING_SNAKE_CASE		,							proxies=SCREAMING_SNAKE_CASE		,							resume_download=SCREAMING_SNAKE_CASE		,							local_files_only=SCREAMING_SNAKE_CASE		,							use_auth_token=SCREAMING_SNAKE_CASE		,							)
               _lowerCAmelCase   :					Any        =    "git"
               _lowerCAmelCase   :					str        =    pretrained_model_name_or_path + ".py"
          except EnvironmentError:
               logger.error(f'''Could not locate the {module_file} inside {pretrained_model_name_or_path}.'''				)
               raise
     else:
          try:
               # Load from URL or cache if already cached
               _lowerCAmelCase   :					Optional[Any]        =    hf_hub_download(
                   SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE		,							cache_dir=SCREAMING_SNAKE_CASE		,							force_download=SCREAMING_SNAKE_CASE		,							proxies=SCREAMING_SNAKE_CASE		,							resume_download=SCREAMING_SNAKE_CASE		,							local_files_only=SCREAMING_SNAKE_CASE		,							use_auth_token=SCREAMING_SNAKE_CASE		,							)
               _lowerCAmelCase   :					Dict        =    os.path.join("local"		,							"--".join(pretrained_model_name_or_path.split("/"				)				)				)
          except EnvironmentError:
               logger.error(f'''Could not locate the {module_file} inside {pretrained_model_name_or_path}.'''				)
               raise

    # Check we have all the requirements in our environment
     _lowerCAmelCase   :					str        =    check_imports(SCREAMING_SNAKE_CASE				)

     # Now we move the module inside our cached dynamic modules.
     _lowerCAmelCase   :					Tuple        =    DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
     create_dynamic_module(SCREAMING_SNAKE_CASE				)
     _lowerCAmelCase   :					Union[str, Any]        =    Path(SCREAMING_SNAKE_CASE				) / full_submodule
     if submodule == "local" or submodule == "git":
          # We always copy local files (we could hash the file to see if there was a change, and give them the name of
          # that hash, to only copy when there is a modification but it seems overkill for now).
          # The only reason we do the copy is to avoid putting too many folders in sys.path.
          shutil.copy(SCREAMING_SNAKE_CASE		,							submodule_path / module_file				)
          for module_needed in modules_needed:
               _lowerCAmelCase   :					str        =    f'''{module_needed}.py'''
               shutil.copy(os.path.join(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)		,							submodule_path / module_needed				)
     else:
          # Get the commit hash
          # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
          if isinstance(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				):
               _lowerCAmelCase   :					int        =    use_auth_token
          elif use_auth_token is True:
               _lowerCAmelCase   :					Any        =    HfFolder.get_token()
          else:
               _lowerCAmelCase   :					Any        =    None

          _lowerCAmelCase   :					Optional[Any]        =    model_info(SCREAMING_SNAKE_CASE		,							revision=SCREAMING_SNAKE_CASE		,							token=SCREAMING_SNAKE_CASE				).sha

          # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
          # benefit of versioning.
          _lowerCAmelCase   :					int        =    submodule_path / commit_hash
          _lowerCAmelCase   :					Dict        =    full_submodule + os.path.sep + commit_hash
          create_dynamic_module(SCREAMING_SNAKE_CASE				)

          if not (submodule_path / module_file).exists():
               shutil.copy(SCREAMING_SNAKE_CASE		,							submodule_path / module_file				)
          # Make sure we also have every file with relative
          for module_needed in modules_needed:
               if not (submodule_path / module_needed).exists():
                    get_cached_module_file(
                        SCREAMING_SNAKE_CASE		,							f'''{module_needed}.py'''		,							cache_dir=SCREAMING_SNAKE_CASE		,							force_download=SCREAMING_SNAKE_CASE		,							resume_download=SCREAMING_SNAKE_CASE		,							proxies=SCREAMING_SNAKE_CASE		,							use_auth_token=SCREAMING_SNAKE_CASE		,							revision=SCREAMING_SNAKE_CASE		,							local_files_only=SCREAMING_SNAKE_CASE		,							)
     return os.path.join(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = False		,							SCREAMING_SNAKE_CASE = False		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = None		,							SCREAMING_SNAKE_CASE = False		,							**SCREAMING_SNAKE_CASE		,							)       ->      List[Any]:

     """simple docstring"""







     _lowerCAmelCase   :					int        =    get_cached_module_file(
         SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE		,							cache_dir=SCREAMING_SNAKE_CASE		,							force_download=SCREAMING_SNAKE_CASE		,							resume_download=SCREAMING_SNAKE_CASE		,							proxies=SCREAMING_SNAKE_CASE		,							use_auth_token=SCREAMING_SNAKE_CASE		,							revision=SCREAMING_SNAKE_CASE		,							local_files_only=SCREAMING_SNAKE_CASE		,							)
     return get_class_in_module(SCREAMING_SNAKE_CASE		,							final_module.replace(".py"		,							""				)				)









from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np





class A__    ( A ):



 """simple docstring"""







 def    __magic_name__       (		self :	List[Any]     ,						A_ :	float       ):






      '''simple docstring'''




      return 0.0







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      tuple[int | float, int | float]:

     """simple docstring"""







     _lowerCAmelCase   :					Union[str, Any]        =    min([-20, np.min(fft_results[1 : samplerate // 2 - 1]				)]				)
     _lowerCAmelCase   :					Optional[Any]        =    max([20, np.max(fft_results[1 : samplerate // 2 - 1]				)]				)
     return lowest, highest







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      None:

     """simple docstring"""







     _lowerCAmelCase   :					Any        =    512
     _lowerCAmelCase   :					Tuple        =    [1] + [0] * (size - 1)
     _lowerCAmelCase   :					Optional[Any]        =    [filter_type.process(SCREAMING_SNAKE_CASE				) for item in inputs]

     _lowerCAmelCase   :					Dict        =    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     _lowerCAmelCase   :					Dict        =    np.abs(np.fft.fft(SCREAMING_SNAKE_CASE				)				)
     _lowerCAmelCase   :					str        =    20 * np.logaa(SCREAMING_SNAKE_CASE				)

     # Frequencies on log scale from 24 to nyquist frequency
     plt.xlim(24		,							samplerate / 2 - 1				)
     plt.xlabel("Frequency (Hz)"				)
     plt.xscale("log"				)

     # Display within reasonable bounds
     _lowerCAmelCase   :					Tuple        =    get_bounds(SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)
     plt.ylim(max([-80, bounds[0]]				)		,							min([80, bounds[1]]				)				)
     plt.ylabel("Gain (dB)"				)

     plt.plot(SCREAMING_SNAKE_CASE				)
     plt.show()







def 	_snake_case		(    SCREAMING_SNAKE_CASE		,							SCREAMING_SNAKE_CASE				)       ->      None:

     """simple docstring"""







     _lowerCAmelCase   :					Tuple        =    512
     _lowerCAmelCase   :					Tuple        =    [1] + [0] * (size - 1)
     _lowerCAmelCase   :					Dict        =    [filter_type.process(SCREAMING_SNAKE_CASE				) for item in inputs]

     _lowerCAmelCase   :					Tuple        =    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     _lowerCAmelCase   :					Tuple        =    np.angle(np.fft.fft(SCREAMING_SNAKE_CASE				)				)

     # Frequencies on log scale from 24 to nyquist frequency
     plt.xlim(24		,							samplerate / 2 - 1				)
     plt.xlabel("Frequency (Hz)"				)
     plt.xscale("log"				)

     plt.ylim(-2 * pi		,							2 * pi				)
     plt.ylabel("Phase shift (Radians)"				)
     plt.plot(np.unwrap(SCREAMING_SNAKE_CASE		,							-2 * pi				)				)
     plt.show()






