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RemoteTraceback Traceback (most recent call last)
RemoteTraceback:
"""
Traceback (most recent call last):
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connectionpool.py", line 467, in _make_request
self._validate_conn(conn)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connectionpool.py", line 1096, in _validate_conn
conn.connect()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connection.py", line 642, in connect
sock_and_verified = _ssl_wrap_socket_and_match_hostname(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connection.py", line 782, in _ssl_wrap_socket_and_match_hostname
ssl_sock = ssl_wrap_socket(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\util\ssl_.py", line 470, in ssl_wrap_socket
ssl_sock = _ssl_wrap_socket_impl(sock, context, tls_in_tls, server_hostname)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\util\ssl_.py", line 514, in _ssl_wrap_socket_impl
return ssl_context.wrap_socket(sock, server_hostname=server_hostname)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\ssl.py", line 500, in wrap_socket
return self.sslsocket_class._create(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\ssl.py", line 1040, in _create
self.do_handshake()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\ssl.py", line 1309, in do_handshake
self._sslobj.do_handshake()
ssl.SSLZeroReturnError: TLS/SSL connection has been closed (EOF) (_ssl.c:1131)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connectionpool.py", line 790, in urlopen
response = self._make_request(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connectionpool.py", line 491, in _make_request
raise new_e
urllib3.exceptions.SSLError: TLS/SSL connection has been closed (EOF) (_ssl.c:1131)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\requests\adapters.py", line 486, in send
resp = conn.urlopen(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\connectionpool.py", line 844, in urlopen
retries = retries.increment(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\urllib3\util\retry.py", line 515, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='storage.googleapis.com', port=443): Max retries exceeded with url: /microns_public_datasets/pinky100_v185/seg/mesh_mip_2_err_40/648518346349539076:0:5824-6272_8640-9088_1344-1792 (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)')))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\multiprocess\pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\pathos\helpers\mp_helper.py", line 15, in
func = lambda args: f(*args)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\cloudfiles.py", line 460, in get
results = schedule_jobs(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\scheduler.py", line 144, in schedule_jobs
return schedule_threaded_jobs(fns, concurrency, progress, total, count_return)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\scheduler.py", line 40, in schedule_threaded_jobs
tq.put(updatefn(fn))
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\threaded_queue.py", line 254, in exit
self.wait(progress=self.with_progress)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\threaded_queue.py", line 224, in wait
self._check_errors()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\threaded_queue.py", line 188, in _check_errors
raise err
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\threaded_queue.py", line 150, in _consume_queue
self._consume_queue_execution(fn)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\threaded_queue.py", line 177, in _consume_queue_execution
fn()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\scheduler.py", line 33, in realupdatefn
res = fn()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\cloudfiles.py", line 433, in download
raise error
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\cloudfiles.py", line 416, in download
content, encoding, server_hash, server_hash_type = conn.get_file(
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\tenacity_init_.py", line 289, in wrapped_f
return self(f, *args, **kw)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\tenacity_init_.py", line 379, in call
do = self.iter(retry_state=retry_state)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\tenacity_init_.py", line 325, in iter
raise retry_exc.reraise()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\tenacity_init_.py", line 158, in reraise
raise self.last_attempt.result()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\concurrent\futures_base.py", line 437, in result
return self.__get_result()
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\concurrent\futures_base.py", line 389, in __get_result
raise self._exception
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\tenacity_init_.py", line 382, in call
result = fn(*args, **kwargs)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\interfaces.py", line 741, in get_file
resp = self.session.get(key)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\requests\sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "C:\Users\bethanny.danskin\anaconda3\envs\microns2023\lib\site-packages\requests\adapters.py", line 517, in send
raise SSLError(e, request=request)
requests.exceptions.SSLError: HTTPSConnectionPool(host='storage.googleapis.com', port=443): Max retries exceeded with url: /microns_public_datasets/pinky100_v185/seg/mesh_mip_2_err_40/648518346349539076:0:5824-6272_8640-9088_1344-1792 (Caused by SSLError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1131)')))
"""
The above exception was the direct cause of the following exception:
File ~\anaconda3\envs\microns2023\lib\site-packages\cloudfiles\cloudfiles.py:155, in parallel_execute(fn, inputs, parallel, total, progress, desc, returns_list)
153 try:
154 with pathos.pools.ProcessPool(parallel) as executor:
--> 155 for res in executor.imap(fn, sip(inputs, block_size)):
156 if isinstance(res, int):
157 pbar.update(res)
SSLError: None: Max retries exceeded with url: /microns_public_datasets/pinky100_v185/seg/mesh_mip_2_err_40/648518346349539076:0:5824-6272_8640-9088_1344-1792 (Caused by None)
However, using cloudvolume with the same path and segment id succeeds:
Loading meshes from the L2/3 pinky dataset hangs indefinitely, until it fails with a timeout warning.
fails with the following error
However, using cloudvolume with the same path and segment id succeeds:
As does trimesh_io download of a different datasource ('precomputed://gs://iarpa_microns/minnie/minnie65/seg_m943')
I couldn't identify the source of the error, but it seems deep in MeshParty's handling of threaded downloads from different sources.
The text was updated successfully, but these errors were encountered: