Add download tests for remaining datasets (#3338)

* kmnist

* emnist

* qmnist

* omniglot

* phototour

* sbdataset

* sbu

* semeion

* stl10

* svhn

* usps

* cifar100

* enable download logging for google drive

* celeba

* widerface

* lint

* add timeout logic

* lint

* debug CI connection to problematic server

* set timeout for ping

* [ci skip] remove ping

* revert debugging

* disable requests to problematic server

* re-enable all other tests
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

test/test_datasets_download.py

@@ -4,14 +4,14 @@ import time
 import unittest.mock
 from datetime import datetime
 from os import path
-from urllib.error import HTTPError
+from urllib.error import HTTPError, URLError
 from urllib.parse import urlparse
 from urllib.request import urlopen, Request
 
 import pytest
 
 from torchvision import datasets
-from torchvision.datasets.utils import download_url, check_integrity
+from torchvision.datasets.utils import download_url, check_integrity, download_file_from_google_drive
 
 from common_utils import get_tmp_dir
 from fakedata_generation import places365_root
@@ -48,35 +48,47 @@ urlopen = limit_requests_per_time()(urlopen)
 @contextlib.contextmanager
 def log_download_attempts(
     urls_and_md5s=None,
+    file="utils",
     patch=True,
-    download_url_location=".utils",
-    patch_auxiliaries=None,
+    mock_auxiliaries=None,
 ):
+    def add_mock(stack, name, file, **kwargs):
+        try:
+            return stack.enter_context(unittest.mock.patch(f"torchvision.datasets.{file}.{name}", **kwargs))
+        except AttributeError as error:
+            if file != "utils":
+                return add_mock(stack, name, "utils", **kwargs)
+            else:
+                raise pytest.UsageError from error
+
     if urls_and_md5s is None:
         urls_and_md5s = set()
-    if download_url_location.startswith("."):
-        download_url_location = f"torchvision.datasets{download_url_location}"
-    if patch_auxiliaries is None:
-        patch_auxiliaries = patch
+    if mock_auxiliaries is None:
+        mock_auxiliaries = patch
 
     with contextlib.ExitStack() as stack:
-        download_url_mock = stack.enter_context(
-            unittest.mock.patch(
-                f"{download_url_location}.download_url",
-                wraps=None if patch else download_url,
-            )
+        url_mock = add_mock(stack, "download_url", file, wraps=None if patch else download_url)
+        google_drive_mock = add_mock(
+            stack, "download_file_from_google_drive", file, wraps=None if patch else download_file_from_google_drive
         )
-        if patch_auxiliaries:
-            # download_and_extract_archive
-            stack.enter_context(unittest.mock.patch("torchvision.datasets.utils.extract_archive"))
+
+        if mock_auxiliaries:
+            add_mock(stack, "extract_archive", file)
+
         try:
             yield urls_and_md5s
         finally:
-            for args, kwargs in download_url_mock.call_args_list:
+            for args, kwargs in url_mock.call_args_list:
                 url = args[0]
                 md5 = args[-1] if len(args) == 4 else kwargs.get("md5")
                 urls_and_md5s.add((url, md5))
 
+            for args, kwargs in google_drive_mock.call_args_list:
+                id = args[0]
+                url = f"https://drive.google.com/file/d/{id}"
+                md5 = args[3] if len(args) == 4 else kwargs.get("md5")
+                urls_and_md5s.add((url, md5))
+
 
 def retry(fn, times=1, wait=5.0):
     msgs = []
@@ -101,6 +113,8 @@ def retry(fn, times=1, wait=5.0):
 def assert_server_response_ok():
     try:
         yield
+    except URLError as error:
+        raise AssertionError("The request timed out.") from error
     except HTTPError as error:
         raise AssertionError(f"The server returned {error.code}: {error.reason}.") from error
 
@@ -108,14 +122,14 @@ def assert_server_response_ok():
 def assert_url_is_accessible(url):
     request = Request(url, headers=dict(method="HEAD"))
     with assert_server_response_ok():
-        urlopen(request)
+        urlopen(request, timeout=5.0)
 
 
 def assert_file_downloads_correctly(url, md5):
     with get_tmp_dir() as root:
         file = path.join(root, path.basename(url))
         with assert_server_response_ok():
-            with urlopen(url) as response, open(file, "wb") as fh:
+            with urlopen(url, timeout=5.0) as response, open(file, "wb") as fh:
                 fh.write(response.read())
 
         assert check_integrity(file, md5=md5), "The MD5 checksums mismatch"
@@ -175,7 +189,7 @@ def cifar10():
 
 
 def cifar100():
-    return collect_download_configs(lambda: datasets.CIFAR10(".", download=True), name="CIFAR100")
+    return collect_download_configs(lambda: datasets.CIFAR100(".", download=True), name="CIFAR100")
 
 
 def voc():
@@ -184,7 +198,7 @@ def voc():
             collect_download_configs(
                 lambda: datasets.VOCSegmentation(".", year=year, download=True),
                 name=f"VOC, {year}",
-                download_url_location=".voc",
+                file="voc",
             )
             for year in ("2007", "2007-test", "2008", "2009", "2010", "2011", "2012")
         ]
@@ -199,6 +213,128 @@ def fashion_mnist():
     return collect_download_configs(lambda: datasets.FashionMNIST(".", download=True), name="FashionMNIST")
 
 
+def kmnist():
+    return collect_download_configs(lambda: datasets.KMNIST(".", download=True), name="KMNIST")
+
+
+def emnist():
+    # the 'split' argument can be any valid one, since everything is downloaded anyway
+    return collect_download_configs(lambda: datasets.EMNIST(".", split="byclass", download=True), name="EMNIST")
+
+
+def qmnist():
+    return itertools.chain(
+        *[
+            collect_download_configs(
+                lambda: datasets.QMNIST(".", what=what, download=True),
+                name=f"QMNIST, {what}",
+                file="mnist",
+            )
+            for what in ("train", "test", "nist")
+        ]
+    )
+
+
+def omniglot():
+    return itertools.chain(
+        *[
+            collect_download_configs(
+                lambda: datasets.Omniglot(".", background=background, download=True),
+                name=f"Omniglot, {'background' if background else 'evaluation'}",
+            )
+            for background in (True, False)
+        ]
+    )
+
+
+def phototour():
+    return itertools.chain(
+        *[
+            collect_download_configs(
+                lambda: datasets.PhotoTour(".", name=name, download=True),
+                name=f"PhotoTour, {name}",
+                file="phototour",
+            )
+            # The names postfixed with '_harris' point to the domain 'matthewalunbrown.com'. For some reason all
+            # requests timeout from within CI. They are disabled until this is resolved.
+            for name in ("notredame", "yosemite", "liberty")  # "notredame_harris", "yosemite_harris", "liberty_harris"
+        ]
+    )
+
+
+def sbdataset():
+    return collect_download_configs(
+        lambda: datasets.SBDataset(".", download=True),
+        name="SBDataset",
+        file="voc",
+    )
+
+
+def sbu():
+    return collect_download_configs(
+        lambda: datasets.SBU(".", download=True),
+        name="SBU",
+        file="sbu",
+    )
+
+
+def semeion():
+    return collect_download_configs(
+        lambda: datasets.SEMEION(".", download=True),
+        name="SEMEION",
+        file="semeion",
+    )
+
+
+def stl10():
+    return collect_download_configs(
+        lambda: datasets.STL10(".", download=True),
+        name="STL10",
+    )
+
+
+def svhn():
+    return itertools.chain(
+        *[
+            collect_download_configs(
+                lambda: datasets.SVHN(".", split=split, download=True),
+                name=f"SVHN, {split}",
+                file="svhn",
+            )
+            for split in ("train", "test", "extra")
+        ]
+    )
+
+
+def usps():
+    return itertools.chain(
+        *[
+            collect_download_configs(
+                lambda: datasets.USPS(".", train=train, download=True),
+                name=f"USPS, {'train' if train else 'test'}",
+                file="usps",
+            )
+            for train in (True, False)
+        ]
+    )
+
+
+def celeba():
+    return collect_download_configs(
+        lambda: datasets.CelebA(".", download=True),
+        name="CelebA",
+        file="celeba",
+    )
+
+
+def widerface():
+    return collect_download_configs(
+        lambda: datasets.WIDERFace(".", download=True),
+        name="WIDERFace",
+        file="widerface",
+    )
+
+
 def make_parametrize_kwargs(download_configs):
     argvalues = []
     ids = []
@@ -221,6 +357,19 @@ def make_parametrize_kwargs(download_configs):
             # voc(),
             mnist(),
             fashion_mnist(),
+            kmnist(),
+            emnist(),
+            qmnist(),
+            omniglot(),
+            phototour(),
+            sbdataset(),
+            sbu(),
+            semeion(),
+            stl10(),
+            svhn(),
+            usps(),
+            celeba(),
+            widerface(),
         )
     )
 )