Source code for dcbench.common.download_utils

"""This file contains utility functions for downloading datasets. The code in
this file is taken from the torchvision package, specifically,
https://github.com/pytorch/vision/blob/master/torchvision/datasets/utils.py. We
package it here to avoid users having to install the rest of torchvision. It is
licensed under the following license:

BSD 3-Clause License

Copyright (c) Soumith Chintala 2016,
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
"""
# flake8: noqa

import errno
import gzip
import hashlib
import os
import os.path
import tarfile
import urllib
import urllib.error
import urllib.request
import zipfile
from typing import Any, Callable, Iterable, List, Optional, TypeVar

from tqdm import tqdm


[docs]def gen_bar_updater(total) -> Callable[[int, int, int], None]: pbar = tqdm(total=total, unit="Byte") def bar_update(count, block_size, total_size): if pbar.total is None and total_size: pbar.total = total_size progress_bytes = count * block_size pbar.update(progress_bytes - pbar.n) return bar_update
[docs]def calculate_md5(fpath: str, chunk_size: int = 1024 * 1024) -> str: md5 = hashlib.md5() with open(fpath, "rb") as f: for chunk in iter(lambda: f.read(chunk_size), b""): md5.update(chunk) return md5.hexdigest()
[docs]def check_md5(fpath: str, md5: str, **kwargs: Any) -> bool: return md5 == calculate_md5(fpath, **kwargs)
[docs]def check_integrity(fpath: str, md5: Optional[str] = None) -> bool: if not os.path.isfile(fpath): return False if md5 is None: return True return check_md5(fpath, md5)
[docs]def download_url( url: str, root: str, filename: Optional[str] = None, md5: Optional[str] = None, size: Optional[int] = None, ) -> None: """Download a file from a url and place it in root. Args: url (str): URL to download file from root (str): Directory to place downloaded file in filename (str, optional): Name to save the file under. If None, use the basename of the URL md5 (str, optional): MD5 checksum of the download. If None, do not check """ root = os.path.expanduser(root) if not filename: req = urllib.request.Request(url, method="HEAD") r = urllib.request.urlopen(req) filename = r.info().get_filename() if not filename: filename = os.path.basename(url) fpath = os.path.join(root, filename) os.makedirs(root, exist_ok=True) # check if file is already present locally if check_integrity(fpath, md5): print("Using downloaded and verified file: " + fpath) else: # download the file try: print("Downloading " + url + " to " + fpath) with urllib.request.urlopen("http://www.example.com/") as f: urllib.request.urlretrieve(url, fpath, reporthook=gen_bar_updater(size)) except (urllib.error.URLError, IOError) as e: # type: ignore[attr-defined] if url[:5] == "https": url = url.replace("https:", "http:") print( "Failed download. Trying https -> http instead." " Downloading " + url + " to " + fpath ) urllib.request.urlretrieve(url, fpath, reporthook=gen_bar_updater(size)) else: raise e # check integrity of downloaded file if not check_integrity(fpath, md5): raise RuntimeError("File not found or corrupted.")
[docs]def list_dir(root: str, prefix: bool = False) -> List[str]: """List all directories at a given root. Args: root (str): Path to directory whose folders need to be listed prefix (bool, optional): If true, prepends the path to each result, otherwise only returns the name of the directories found """ root = os.path.expanduser(root) directories = [p for p in os.listdir(root) if os.path.isdir(os.path.join(root, p))] if prefix is True: directories = [os.path.join(root, d) for d in directories] return directories
[docs]def list_files(root: str, suffix: str, prefix: bool = False) -> List[str]: """List all files ending with a suffix at a given root. Args: root (str): Path to directory whose folders need to be listed suffix (str or tuple): Suffix of the files to match, e.g. '.png' or ('.jpg', '.png'). It uses the Python "str.endswith" method and is passed directly prefix (bool, optional): If true, prepends the path to each result, otherwise only returns the name of the files found """ root = os.path.expanduser(root) files = [ p for p in os.listdir(root) if os.path.isfile(os.path.join(root, p)) and p.endswith(suffix) ] if prefix is True: files = [os.path.join(root, d) for d in files] return files
def _quota_exceeded(response: "requests.models.Response") -> bool: # type: ignore[name-defined] return "Google Drive - Quota exceeded" in response.text
[docs]def download_file_from_google_drive( file_id: str, root: str, filename: Optional[str] = None, md5: Optional[str] = None ): """Download a Google Drive file from and place it in root. Args: file_id (str): id of file to be downloaded root (str): Directory to place downloaded file in filename (str, optional): Name to save the file under. If None, use the id of the file. md5 (str, optional): MD5 checksum of the download. If None, do not check """ # Based on https://stackoverflow.com/questions/38511444/python-download-files-from-google-drive-using-url import requests url = "https://docs.google.com/uc?export=download" root = os.path.expanduser(root) if not filename: filename = file_id fpath = os.path.join(root, filename) os.makedirs(root, exist_ok=True) if os.path.isfile(fpath) and check_integrity(fpath, md5): print("Using downloaded and verified file: " + fpath) else: session = requests.Session() response = session.get(url, params={"id": file_id}, stream=True) token = _get_confirm_token(response) if token: params = {"id": file_id, "confirm": token} response = session.get(url, params=params, stream=True) if _quota_exceeded(response): msg = ( f"The daily quota of the file {filename} is exceeded and it " f"can't be downloaded. This is a limitation of Google Drive " f"and can only be overcome by trying again later." ) raise RuntimeError(msg) _save_response_content(response, fpath)
def _get_confirm_token(response: "requests.models.Response") -> Optional[str]: # type: ignore[name-defined] for key, value in response.cookies.items(): if key.startswith("download_warning"): return value return None def _save_response_content( response: "requests.models.Response", destination: str, chunk_size: int = 32768, # type: ignore[name-defined] ) -> None: with open(destination, "wb") as f: pbar = tqdm(total=None) progress = 0 for chunk in response.iter_content(chunk_size): if chunk: # filter out keep-alive new chunks f.write(chunk) progress += len(chunk) pbar.update(progress - pbar.n) pbar.close() def _is_tarxz(filename: str) -> bool: return filename.endswith(".tar.xz") def _is_tar(filename: str) -> bool: return filename.endswith(".tar") def _is_targz(filename: str) -> bool: return filename.endswith(".tar.gz") def _is_tgz(filename: str) -> bool: return filename.endswith(".tgz") def _is_gzip(filename: str) -> bool: return filename.endswith(".gz") and not filename.endswith(".tar.gz") def _is_zip(filename: str) -> bool: return filename.endswith(".zip")
[docs]def extract_archive( from_path: str, to_path: Optional[str] = None, remove_finished: bool = False ) -> None: if to_path is None: to_path = os.path.dirname(from_path) if _is_tar(from_path): with tarfile.open(from_path, "r") as tar: tar.extractall(path=to_path) elif _is_targz(from_path) or _is_tgz(from_path): with tarfile.open(from_path, "r:gz") as tar: tar.extractall(path=to_path) elif _is_tarxz(from_path): with tarfile.open(from_path, "r:xz") as tar: tar.extractall(path=to_path) elif _is_gzip(from_path): to_path = os.path.join( to_path, os.path.splitext(os.path.basename(from_path))[0] ) with open(to_path, "wb") as out_f, gzip.GzipFile(from_path) as zip_f: out_f.write(zip_f.read()) elif _is_zip(from_path): with zipfile.ZipFile(from_path, "r") as z: z.extractall(to_path) else: raise ValueError("Extraction of {} not supported".format(from_path)) if remove_finished: os.remove(from_path)
[docs]def download_and_extract_archive( url: str, download_root: str, extract_root: Optional[str] = None, filename: Optional[str] = None, md5: Optional[str] = None, remove_finished: bool = False, size: Optional[int] = None, ) -> None: download_root = os.path.expanduser(download_root) if extract_root is None: extract_root = download_root if not filename: req = urllib.request.Request(url, method="HEAD") r = urllib.request.urlopen(req) filename = r.info().get_filename() if not filename: filename = os.path.basename(url) download_url(url, download_root, filename, md5, size) archive = os.path.join(download_root, filename) print("Extracting {} to {}".format(archive, extract_root)) extract_archive(archive, extract_root, remove_finished)
[docs]def iterable_to_str(iterable: Iterable) -> str: return "'" + "', '".join([str(item) for item in iterable]) + "'"
T = TypeVar("T", str, bytes)
[docs]def verify_str_arg( value: T, arg: Optional[str] = None, valid_values: Iterable[T] = None, custom_msg: Optional[str] = None, ) -> T: if not isinstance(value, torch._six.string_classes): if arg is None: msg = "Expected type str, but got type {type}." else: msg = "Expected type str for argument {arg}, but got type {type}." msg = msg.format(type=type(value), arg=arg) raise ValueError(msg) if valid_values is None: return value if value not in valid_values: if custom_msg is not None: msg = custom_msg else: msg = ( "Unknown value '{value}' for argument {arg}. " "Valid values are {{{valid_values}}}." ) msg = msg.format( value=value, arg=arg, valid_values=iterable_to_str(valid_values) ) raise ValueError(msg) return value