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Couldn't get the size of external files in `_split_generators` because a request failed:
HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)
Please consider moving your data files in this dataset repository instead (e.g. inside a data/ folder).
Error code: ExternalFilesSizeRequestTimeoutError
Exception: ReadTimeout
Message: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 466, in _make_request
six.raise_from(e, None)
File "<string>", line 3, in raise_from
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 461, in _make_request
httplib_response = conn.getresponse()
File "/usr/local/lib/python3.9/http/client.py", line 1377, in getresponse
response.begin()
File "/usr/local/lib/python3.9/http/client.py", line 320, in begin
version, status, reason = self._read_status()
File "/usr/local/lib/python3.9/http/client.py", line 281, in _read_status
line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
File "/usr/local/lib/python3.9/socket.py", line 704, in readinto
return self._sock.recv_into(b)
File "/usr/local/lib/python3.9/ssl.py", line 1242, in recv_into
return self.read(nbytes, buffer)
File "/usr/local/lib/python3.9/ssl.py", line 1100, in read
return self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 486, in send
resp = conn.urlopen(
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 798, in urlopen
retries = retries.increment(
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/util/retry.py", line 550, in increment
raise six.reraise(type(error), error, _stacktrace)
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/packages/six.py", line 770, in reraise
raise value
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 714, in urlopen
httplib_response = self._make_request(
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 468, in _make_request
self._raise_timeout(err=e, url=url, timeout_value=read_timeout)
File "/src/services/worker/.venv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 357, in _raise_timeout
raise ReadTimeoutError(
urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 488, in _is_too_big_from_external_data_files
for i, size in enumerate(pool.imap_unordered(get_size, ext_data_files)):
File "/usr/local/lib/python3.9/multiprocessing/pool.py", line 870, in next
raise value
File "/usr/local/lib/python3.9/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 386, in _request_size
response = http_head(url, headers=headers, max_retries=3)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 429, in http_head
response = _request_with_retry(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 328, in _request_with_retry
response = requests.request(method=method.upper(), url=url, timeout=timeout, **params)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 532, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Read timed out. (read timeout=10.0)Need help to make the dataset viewer work? Open a discussion for direct support.
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string |
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return "\n".join(new_body) |
date_format = '%Y-%m-%d-%H-%M-%S' if has_time else '%Y-%m-%d' |
help='Write additional debugging information ' |
epoch_one, epoch_two, |
assert errback is not None |
delattr(self, '_lazy_sftp') |
raise ValueError("Error in config file.") |
assert issubclass(initialState.dtype.type, np.integer) and initialState.ndim==1, "initialState %r is not a one-dimensional integer numpy array" % initialState |
del ERROR_CLASS_MAP[klass] |
nos1 = ib1[0] * ps1 + os1 # real offset for image 1 |
b = np.append(b, [self.get_single_score(p, centroids=c, sd=sd)]) |
opts['file_roots'] = {'base': [syspaths.BASE_FILE_ROOTS_DIR]} |
display_name = '.'.join(components[1:]) |
bSizer1 = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "Import data to working directory"), wx.HORIZONTAL) |
print("{:10} {}".format(*c)) |
self._ar_keyword = self._format_keyword(split_line[1]) |
options[constants.LABEL_CONFIG], |
sentence = self._sentence(random.randint(5, 16)) |
items.append(_ETreeXmlToObject.fill_instance_element(item_element, item_type)) |
self.add(servicegroup) |
return self.pin_mask(color, square) != BB_ALL |
return (out,err.value) |
cell.set_property('foreground', "white") |
ax.text(xy[0],xy[1],txt,fontdict=fontdict,color=clr,zorder=zorder) |
stamp, pos = load_le32(buf, pos) |
digits = list(map(int, string)) |
response = requests.post(url, data=data, timeout=timeout) |
subplot(2, 3, 6) |
self.error(403) |
vote_update["count"] = VOTE_COUNT |
t = Token |
indices = np.array([], dtype=np.uint64) |
state_m = model if isinstance(model.core_element, State) else model.parent |
newivmlist.append(file[1]) |
install(package, execute=not opts.dry_run) |
labels = [tr('Global (%s)'), tr('Do not report'), tr('Custom')] |
body.set('order', kwargs['order']) |
uninstallable=uninstallable, |
subscription=full_subscription, body={'ackIds': ack_ids} |
aggregate = list() |
result._bq_source_format = 'NEWLINE_DELIMITED_JSON' |
time_step = 0 |
bk.write("mode: midWayWordInSentence(+SID,-WID).\n") |
array([ 11.]) |
x = tf.layers.conv2d(x, output_filters, (3, 3), padding="SAME", name="conv2") |
lb = pst.parameter_data.parlbnd.copy() |
r = _apply(ramap[k], v, status=status, path=path+[k]) |
new_panel['genes'] = new_genes |
url = self._url + "/lengths" |
magic_method_codes=MagRec["magic_method_codes"].split(":") |
path = try_ |
route_map : folium.folium.Map |
r = _call_cache[key] |
_return_freqs=False, |
ttactor.SetCamera(followcam) |
dW1 = np.dot(dh.T, epx) |
regionfile : str |
self.msg("Please answer y or n.") |
xyz_x = 0.0 |
count_no_shape_fit = 0 |
time_array, [channel1, channel2] |
return np.sum(counts > 1) / float(counts.shape[0]) |
started = super(Node, self).start(timeout=timeout) |
type_ = type_.lower() |
hobj.axon = [h.Section(name='axon[0]'), h.Section(name='axon[1]')] |
['author', 'description', 'title'], |
entity.put_annotation(key, value) |
raise Exception("Unable to find child node %s" % current_name) |
_logger.debug("Received command %s", message) |
check_args = ['checktrans'] |
tf, note = tfi.create_db_entry(release.comment) |
fmtstr = '[generate2] executing {} {} tasks using {} {} procs' |
raise BinAsciiError(str(e)) |
priority = GLib.PRIORITY_LOW |
self.modifiers[modifier] = False |
counts = sorted(cell_barcode_counts.values(), reverse=True) |
self._writer.write((self._username + '\n').encode('ascii')) |
relative_jimage = np.subtract(to_jimage, jimage) |
p = subprocess.Popen(scp_command) |
key_columns_array = [] |
self._permutations = vars['permutations'] |
dc = ioloop.DelayedCallback(purge, self.registration_timeout, self.loop) |
logger.debug("Not a valid JID: {0!r}".format(name)) |
receiver=transceiver.receiver, |
analysis_id = "AN{}".format(source.zfill(6)) |
ad_path = os.path.join(neurommsig_excel_dir, 'alzheimers', 'alzheimers.xlsx') |
raise ValueError("Can't write to file object %r" % fileobj) |
return recipes |
outfiles.append(Specout) |
[ float(only_warning_count), 'warning', 'had warnings' ], |
raise NameError('Unrecognised output request!') |
self.mgrremove.execute(conn, migration_rqst) |
self[key] = OrderedSet(self[key]) |
date_tokens = dictionary.split(date_string) |
remove_headers = ('Content-Length',) |
filename, fileext = os.path.splitext(os.path.basename(rawfilename)) |
errmsg = "'{}'; this pipeline can only deal with .bam, .fastq, " \ |
letter |
chars.append(_escape_char(c, escape_char)) |
return rnPattern |
End of preview.