Comments (2)
This happens frequently when using multiple threads to fetch data. The cause is usually the remote server limiting the number of concurrent connections. Consequently you're best served to minimizing the number of threads concurrently contacting the same server.
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Thanks, I was able to increase num_workers once I requested a node with more cores/sockets/threads.
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Related Issues (20)
- RuntimeError: Invalid interval bounds
- Document performance considerations? HOT 4
- Cannot add entries of value type int, but only float HOT 2
- support for osx-arm64 HOT 2
- numpy support broken in 0.3.18? HOT 1
- Create a BedGraph file using addEntries() throws segmentation fault HOT 2
- library import error HOT 4
- pyBigWig fails to find numpy installation when installing from PyPI HOT 5
- Writing a nan value should leave a gap HOT 7
- Can't enforce numpy features when pyBigWig is used as a dependency in downstream package HOT 5
- pip installation broken HOT 4
- Installing through pip not working HOT 9
- addHeader does not support multiple calls HOT 1
- Support for python >=3.11 HOT 1
- Issue Downloading pyBigWig HOT 1
- Simple patch to resolve conflict with roundup() macro
- Stats Sum Not Working as Expected
- 'zsh: segmentation fault ' HOT 1
- Out of memory listing entries on one human chromosome on a machine with 300 GB ram and 165 GB BigBed file HOT 1
- pyBigWig.entries() should return empty array, not None when no entries are found
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