




# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


lowerCamelCase__			:       Any         =							get_logger(__name__)





class 	lowerCamelCase_							:


 '''simple docstring'''







 lowercase_       =   "dummy_data"
 lowercase_       =   "datasets"
 lowercase_       =   False



 def __init__(							self  :		Tuple    ,    _lowerCAmelCase  :		str    ,    _lowerCAmelCase  :		str    ,    _lowerCAmelCase  :		Union[Version, str]    ,    _lowerCAmelCase  :		Optional[str] = None    ,    _lowerCAmelCase  :		bool = False    ,    _lowerCAmelCase  :		bool = True    ,    _lowerCAmelCase  :		Optional[List[Callable]] = None    ,    ):
       SCREAMING_SNAKE_CASE_ :    Tuple     						=      0
       SCREAMING_SNAKE_CASE_ :    str     						=      dataset_name
       SCREAMING_SNAKE_CASE_ :    Union[str, Any]     						=      cache_dir
       SCREAMING_SNAKE_CASE_ :    List[str]     						=      use_local_dummy_data
       SCREAMING_SNAKE_CASE_ :    Tuple     						=      config
       # download_callbacks take a single url as input
       SCREAMING_SNAKE_CASE_ :    Optional[Any]     						=      download_callbacks or []
       # if False, it doesn't load existing files and it returns the paths of the dummy files relative
       # to the dummy_data zip file root
       SCREAMING_SNAKE_CASE_ :    Union[str, Any]     						=      load_existing_dummy_data

       # TODO(PVP, QL) might need to make this more general
       SCREAMING_SNAKE_CASE_ :    int     						=      str(_lowerCAmelCase						)
       # to be downloaded
       SCREAMING_SNAKE_CASE_ :    Any     						=      None
       SCREAMING_SNAKE_CASE_ :    List[str]     						=      None



 @property
 def 				lowerCAmelCase_  (							self  :		Dict						):
       if self._dummy_file is None:
             SCREAMING_SNAKE_CASE_ :    Union[str, Any]     						=      self.download_dummy_data()
       return self._dummy_file



 @property
 def 				lowerCAmelCase_  (							self  :		str						):
       if self.config is not None:
             # structure is dummy / config_name / version_name
             return os.path.join('dummy'    ,    self.config.name    ,    self.version_name						)
       # structure is dummy / version_name
       return os.path.join('dummy'    ,    self.version_name						)



 @property
 def 				lowerCAmelCase_  (							self  :		List[str]						):
       return os.path.join(self.dummy_data_folder    ,    'dummy_data.zip'						)



 def 				lowerCAmelCase_  (							self  :		Optional[int]						):
       SCREAMING_SNAKE_CASE_ :    Optional[int]     						=      (
           self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
       )

       SCREAMING_SNAKE_CASE_ :    Tuple     						=      cached_path(
           _lowerCAmelCase    ,    cache_dir=self.cache_dir    ,    extract_compressed_file=_lowerCAmelCase    ,    force_extract=_lowerCAmelCase						)

       return os.path.join(_lowerCAmelCase    ,    self.dummy_file_name						)



 @property
 def 				lowerCAmelCase_  (							self  :		str						):
       return os.path.join(self.datasets_scripts_dir    ,    self.dataset_name    ,    self.dummy_zip_file						)



 @property
 def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
       if self._bucket_url is None:
             SCREAMING_SNAKE_CASE_ :    Any     						=      hf_github_url(self.dataset_name    ,    self.dummy_zip_file.replace(os.sep    ,    '/'						)						)
       return self._bucket_url



 @property
 def 				lowerCAmelCase_  (							self  :		Union[str, Any]						):
       # return full path if its a dir
       if os.path.isdir(self.dummy_file						):
             return self.dummy_file
       # else cut off path to file -> example `xsum`.
       return "/".join(self.dummy_file.replace(os.sep    ,    '/'						).split('/'						)[:-1]						)



 def 				lowerCAmelCase_  (							self  :		str    ,    _lowerCAmelCase  :		List[str]    ,    *_lowerCAmelCase  :		int						):
       if self.load_existing_dummy_data:
             # dummy data is downloaded and tested
             SCREAMING_SNAKE_CASE_ :    int     						=      self.dummy_file
       else:
             # dummy data cannot be downloaded and only the path to dummy file is returned
             SCREAMING_SNAKE_CASE_ :    Any     						=      self.dummy_file_name

       # special case when data_url is a dict
       if isinstance(_lowerCAmelCase    ,    _lowerCAmelCase						):
             return self.create_dummy_data_dict(_lowerCAmelCase    ,    _lowerCAmelCase						)
       elif isinstance(_lowerCAmelCase    ,    (list, tuple)						):
             return self.create_dummy_data_list(_lowerCAmelCase    ,    _lowerCAmelCase						)
       else:
             return self.create_dummy_data_single(_lowerCAmelCase    ,    _lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Tuple    ,    _lowerCAmelCase  :		List[str]    ,    *_lowerCAmelCase  :		Optional[int]						):
       return self.download_and_extract(_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Optional[Any]    ,    _lowerCAmelCase  :		List[Any]    ,    _lowerCAmelCase  :		Optional[Any]						):
       return self.download_and_extract(_lowerCAmelCase						)



 def 				lowerCAmelCase_  (							self  :		Optional[int]    ,    _lowerCAmelCase  :		int    ,    *_lowerCAmelCase  :		Any    ,    **_lowerCAmelCase  :		Optional[Any]						):
       return path



 def 				lowerCAmelCase_  (							self  :		Dict						):
       return {}



 def 				lowerCAmelCase_  (							self  :		Optional[Any]    ,    _lowerCAmelCase  :		Any    ,    _lowerCAmelCase  :		Optional[int]						):
       SCREAMING_SNAKE_CASE_ :    Optional[int]     						=      {}
       for key, single_urls in data_url.items():
             for download_callback in self.download_callbacks:
                   if isinstance(_lowerCAmelCase    ,    _lowerCAmelCase						):
                         for single_url in single_urls:
                               download_callback(_lowerCAmelCase						)
                   else:
                         SCREAMING_SNAKE_CASE_ :    List[str]     						=      single_urls
                         download_callback(_lowerCAmelCase						)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
             if isinstance(_lowerCAmelCase    ,    _lowerCAmelCase						):
                   SCREAMING_SNAKE_CASE_ :    Dict     						=      [os.path.join(_lowerCAmelCase    ,    urllib.parse.quote_plus(Path(_lowerCAmelCase						).name						)						) for x in single_urls]
             else:
                   SCREAMING_SNAKE_CASE_ :    Any     						=      single_urls
                   SCREAMING_SNAKE_CASE_ :    Optional[Any]     						=      os.path.join(_lowerCAmelCase    ,    urllib.parse.quote_plus(Path(_lowerCAmelCase						).name						)						)
             SCREAMING_SNAKE_CASE_ :    Any     						=      value

       # make sure that values are unique
       if all(isinstance(_lowerCAmelCase    ,    _lowerCAmelCase						) for i in dummy_data_dict.values()						) and len(set(dummy_data_dict.values()						)						) < len(
           dummy_data_dict.values()						):
             # append key to value to make its name unique
             SCREAMING_SNAKE_CASE_ :    Tuple     						=      {key: value + key for key, value in dummy_data_dict.items()}

       return dummy_data_dict



 def 				lowerCAmelCase_  (							self  :		Any    ,    _lowerCAmelCase  :		str    ,    _lowerCAmelCase  :		Union[str, Any]						):
       SCREAMING_SNAKE_CASE_ :    List[Any]     						=      []
       # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
       SCREAMING_SNAKE_CASE_ :    Union[str, Any]     						=      all(bool(re.findall('[0-9]{3,}-of-[0-9]{3,}'    ,    _lowerCAmelCase						)						) for url in data_url						)
       SCREAMING_SNAKE_CASE_ :    Tuple     						=      all(
           url.startswith('https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'						) for url in data_url						)
       if data_url and (is_tf_records or is_pubmed_records):
             SCREAMING_SNAKE_CASE_ :    List[Any]     						=      [data_url[0]] * len(_lowerCAmelCase						)
       for single_url in data_url:
             for download_callback in self.download_callbacks:
                   download_callback(_lowerCAmelCase						)
             # we force the name of each key to be the last file / folder name of the url path
             # if the url has arguments, we need to encode them with urllib.parse.quote_plus
             SCREAMING_SNAKE_CASE_ :    Tuple     						=      os.path.join(_lowerCAmelCase    ,    urllib.parse.quote_plus(single_url.split('/'						)[-1]						)						)
             dummy_data_list.append(_lowerCAmelCase						)
       return dummy_data_list



 def 				lowerCAmelCase_  (							self  :		str    ,    _lowerCAmelCase  :		List[str]    ,    _lowerCAmelCase  :		Optional[Any]						):
       for download_callback in self.download_callbacks:
             download_callback(_lowerCAmelCase						)
       # we force the name of each key to be the last file / folder name of the url path
       # if the url has arguments, we need to encode them with urllib.parse.quote_plus
       SCREAMING_SNAKE_CASE_ :    int     						=      os.path.join(_lowerCAmelCase    ,    urllib.parse.quote_plus(data_url.split('/'						)[-1]						)						)
       if os.path.exists(_lowerCAmelCase						) or not self.load_existing_dummy_data:
             return value
       else:
             # Backward compatibility, maybe deprecate at one point.
             # For many datasets with single url calls to dl_manager.download_and_extract,
             # the dummy_data.zip file is actually the zipped downloaded file
             # while now we expected the dummy_data.zip file to be a directory containing
             # the downloaded file.
             return path_to_dummy_data



 def 				lowerCAmelCase_  (							self  :		Tuple						):
       pass



 def 				lowerCAmelCase_  (							self  :		List[Any]						):
       pass



 def 				lowerCAmelCase_  (							self  :		Optional[int]    ,    _lowerCAmelCase  :		Any						):
       def _iter_archive_members(_lowerCAmelCase  :		Tuple						):
             # this preserves the order of the members inside the ZIP archive
             SCREAMING_SNAKE_CASE_ :    List[str]     						=      Path(self.dummy_file						).parent
             SCREAMING_SNAKE_CASE_ :    int     						=      path.relative_to(_lowerCAmelCase						)
             with ZipFile(self.local_path_to_dummy_data						) as zip_file:
                   SCREAMING_SNAKE_CASE_ :    List[Any]     						=      zip_file.namelist()
             for member in members:
                   if member.startswith(relative_path.as_posix()						):
                         yield dummy_parent_path.joinpath(_lowerCAmelCase						)

       SCREAMING_SNAKE_CASE_ :    Tuple     						=      Path(_lowerCAmelCase						)
       SCREAMING_SNAKE_CASE_ :    Union[str, Any]     						=      _iter_archive_members(_lowerCAmelCase						) if self.use_local_dummy_data else path.rglob('*'						)
       for file_path in file_paths:
             if file_path.is_file() and not file_path.name.startswith(('.', '__')						):
                   yield file_path.relative_to(_lowerCAmelCase						).as_posix(), file_path.open('rb'						)




 def 				lowerCAmelCase_  (							self  :		List[str]    ,    _lowerCAmelCase  :		List[Any]						):
       if not isinstance(_lowerCAmelCase    ,    _lowerCAmelCase						):
             SCREAMING_SNAKE_CASE_ :    int     						=      [paths]
       for path in paths:
             if os.path.isfile(_lowerCAmelCase						):
                   if os.path.basename(_lowerCAmelCase						).startswith(('.', '__')						):
                         return
                   yield path
             else:
                   for dirpath, dirnames, filenames in os.walk(_lowerCAmelCase						):
                         if os.path.basename(_lowerCAmelCase						).startswith(('.', '__')						):
                               continue
                         dirnames.sort()
                         for filename in sorted(_lowerCAmelCase						):
                               if filename.startswith(('.', '__')						):
                                     continue
                               yield os.path.join(_lowerCAmelCase    ,    _lowerCAmelCase						)





import gc
import threading
import time

import psutil
import torch





class 	lowerCamelCase_							:


 '''simple docstring'''







 def __init__(							self  :		Optional[Any]						):
       SCREAMING_SNAKE_CASE_     						=      psutil.Process()
       SCREAMING_SNAKE_CASE_     						=      False



 def 				lowerCAmelCase_  (							self  :		Dict						):
       SCREAMING_SNAKE_CASE_     						=      -1

       while True:
             SCREAMING_SNAKE_CASE_     						=      max(self.process.memory_info().rss    ,    self.cpu_memory_peak						)

             # can't sleep or will not catch the peak right (this comment is here on purpose)
             if not self.peak_monitoring:
                   break



 def 				lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_     						=      True
       SCREAMING_SNAKE_CASE_     						=      threading.Thread(target=self.peak_monitor						)
       SCREAMING_SNAKE_CASE_     						=      True
       self.thread.start()




 def 				lowerCAmelCase_  (							self  :		List[str]						):
       SCREAMING_SNAKE_CASE_     						=      False
       self.thread.join()
       return self.cpu_memory_peak


lowerCamelCase__			:       List[str]         =							PeakCPUMemory()

def  UpperCAmelCase_							(				) ->			Tuple:
      # Time
      SCREAMING_SNAKE_CASE_     						=      {'time': time.time()}

      gc.collect()
      torch.cuda.empty_cache()

      # CPU mem
      SCREAMING_SNAKE_CASE_     						=      psutil.Process().memory_info().rss
      cpu_peak_tracker.start()

      # GPU mem
      for i in range(torch.cuda.device_count()							):
            SCREAMING_SNAKE_CASE_     						=      torch.cuda.memory_allocated(__UpperCAmelCase							)
      torch.cuda.reset_peak_memory_stats()

      return measures

def  UpperCAmelCase_							(				__UpperCAmelCase						:     Optional[int]							) ->			Optional[Any]:
      # Time
      SCREAMING_SNAKE_CASE_     						=      {'time': time.time() - start_measures['time']}

      gc.collect()
      torch.cuda.empty_cache()

      # CPU mem
      SCREAMING_SNAKE_CASE_     						=      (psutil.Process().memory_info().rss - start_measures['cpu']) / 2**20
      SCREAMING_SNAKE_CASE_     						=      (cpu_peak_tracker.stop() - start_measures['cpu']) / 2**20

      # GPU mem
      for i in range(torch.cuda.device_count()							):
            SCREAMING_SNAKE_CASE_     						=      (torch.cuda.memory_allocated(__UpperCAmelCase							) - start_measures[str(__UpperCAmelCase							)]) / 2**20
            SCREAMING_SNAKE_CASE_     						=      (torch.cuda.max_memory_allocated(__UpperCAmelCase							) - start_measures[str(__UpperCAmelCase							)]) / 2**20

      return measures





def  UpperCAmelCase_							(				__UpperCAmelCase						:     Optional[int]      ,      __UpperCAmelCase						:     Any							) ->			Optional[Any]:
      print(f"{description}:"							)
      print(f"- Time: {measures['time']:.2f}s"							)
      for i in range(torch.cuda.device_count()							):
            print(f"- GPU {i} allocated: {measures[str(__UpperCAmelCase							)]:.2f}MiB"							)
            SCREAMING_SNAKE_CASE_     						=      measures[f"{i}-peak"]
            print(f"- GPU {i} peak: {peak:.2f}MiB"							)
      print(f"- CPU RAM allocated: {measures['cpu']:.2f}MiB"							)
      print(f"- CPU RAM peak: {measures['cpu-peak']:.2f}MiB"							)