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Description
Describe the bug
Hi, When I have an object zstandard.ZstdCompressor() shared across a concurrent.futures.ThreadPoolExecutor, I see some nondeterministic behavior when using this object to compress.
My expectation was that there is no shared state in calls to compressor.compress(bytes), so it was surprising to me that threadedness saw some stochasticity in outputs.
To Reproduce
!pip install zstandard # this fetched zstandard-0.23.0
import zstandard
import concurrent.futures
import time
n = 10000
compressor = zstandard.ZstdCompressor()
decompressor = zstandard.ZstdDecompressor()
def compress(b):
return compressor.compress(b)
def decompress(b):
return decompressor.decompress(b)
compressed_values = []
# Compress in parallel
with concurrent.futures.ThreadPoolExecutor(max_workers=n) as executor:
futures = [executor.submit(compress, str(i).encode()) for i in range(n)]
for future in concurrent.futures.as_completed(futures):
compressed_values.append(future.result())
# Decompress in parallel
decompressed_values = []
with concurrent.futures.ThreadPoolExecutor(max_workers=n) as executor:
futures = [executor.submit(decompress, o) for o in compressed_values]
for future in concurrent.futures.as_completed(futures):
decompressed_values.append(future.result())
decompressed_values
Expected behavior
A clear and concise description of what you expected to happen.
Screenshots and charts
I see 4 different behaviors: a "happy path", and 3 errors. Sometimes the code outputs the decompressed values, and sometimes it does not.
One of two errors:
---------------------------------------------------------------------------
ZstdError Traceback (most recent call last)
<ipython-input-28-4a3cb429fab4> in <cell line: 17>()
19
20 for future in concurrent.futures.as_completed(futures):
---> 21 compressed_values.append(future.result())
22
23 decompressed_values = []
3 frames
<ipython-input-28-4a3cb429fab4> in compress(b)
9
10 def compress(b):
---> 11 return compressor.compress(b)
12 def decompress(b):
13 return decompressor.decompress(b)
ZstdError: cannot compress: Operation not authorized at current processing stage
Another error:
---------------------------------------------------------------------------
ZstdError Traceback (most recent call last)
<ipython-input-30-4a3cb429fab4> in <cell line: 24>()
28 # Get results as they become available
29 for future in concurrent.futures.as_completed(futures):
---> 30 decompressed_values.append(future.result())
31 decompressed_values
3 frames
<ipython-input-30-4a3cb429fab4> in decompress(b)
11 return compressor.compress(b)
12 def decompress(b):
---> 13 return decompressor.decompress(b)
14
15 compressed_values = []
ZstdError: decompression error: Unknown frame descriptor
The final error I'm seeing:
---------------------------------------------------------------------------
ZstdError Traceback (most recent call last)
[<ipython-input-35-4a3cb429fab4>](https://localhost:8080/#) in <cell line: 24>()
28 # Get results as they become available
29 for future in concurrent.futures.as_completed(futures):
---> 30 decompressed_values.append(future.result())
31 decompressed_values
3 frames
[<ipython-input-35-4a3cb429fab4>](https://localhost:8080/#) in decompress(b)
11 return compressor.compress(b)
12 def decompress(b):
---> 13 return decompressor.decompress(b)
14
15 compressed_values = []
ZstdError: decompression error: Data corruption detected
Desktop (please complete the following information):
!pip install zstandard # this fetched zstandard-0.23.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata
from a free colab kernel at colab.research.google.com
Additional context
This may be a user error, but I found it surprising nonetheless