An attempt to speed-up access to large NWB (Neurodata Without Borders) files stored in the cloud.
Project description
lazynwb
Usage
uv add lazynwb
Python
>>> import lazynwb
Development
See instructions in https://github.com/bjhardcastle/lazynwb/CONTRIBUTING.md and the original template: https://github.com/bjhardcastle/copier-pdm-npc/blob/main/README.md
notes
- hdf5 access seems to have a mutex lock that threads spend a long time waiting to acquire (with remfile)
- seems to slow down over time in single-threaded loop
- on laptop, first 5 are fast (2-3 s per iteration) - successive iterations are much slower (>60 s)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
lazynwb-0.2.25.tar.gz
(25.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
lazynwb-0.2.25-py3-none-any.whl
(26.2 kB
view details)
File details
Details for the file lazynwb-0.2.25.tar.gz.
File metadata
- Download URL: lazynwb-0.2.25.tar.gz
- Upload date:
- Size: 25.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.6.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e4478ceb9b7d77b0556fd160fe18d9012dfe3e272b10d8c429b1ccf5ac1c736a
|
|
| MD5 |
1700c72e1db62223410b6fbbbf688a59
|
|
| BLAKE2b-256 |
c4c12826beb7766cdc0e5da9b5e47e6e2fd62c8efa042ad5ca3e5b448eb9b1ce
|
File details
Details for the file lazynwb-0.2.25-py3-none-any.whl.
File metadata
- Download URL: lazynwb-0.2.25-py3-none-any.whl
- Upload date:
- Size: 26.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.6.17
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
616460deef17ae84a3ace908f5ed0850c3c19adc29db49f1b8f0143611707c0b
|
|
| MD5 |
a7551f20c2fd19ec0a5955dc76038372
|
|
| BLAKE2b-256 |
d2bed91f0ea737ae3d3e6899f4cd48824dd25d3a87b200feaeb811e556bf3e43
|