chunksum
Print FastCDC rolling hash chunks and checksums.
usage: chunksum [-h] [-n ALG_NAME] [-f CHUNKSUMS_FILE] [-i INCR_FILE] [-m]
[path ...]
Print FastCDC rolling hash chunks and checksums.
positional arguments:
path path to compute chunksums
optional arguments:
-h, --help show this help message and exit
-n ALG_NAME, --alg-name ALG_NAME
chunksum algorithm name.
-f CHUNKSUMS_FILE, --chunksums-file CHUNKSUMS_FILE
chunksum file path, `-' for standard output.
-i INCR_FILE, --incr-file INCR_FILE
incremental updates file path
-m, --multi-process same number of multi-processes as cpu
alg-name:
Format "fc[k|m|g][0-9][sha2|blake2b|blake2s][32]".
For example, "fck4sha2", means using FastCDC("fc") with an
average chunk size of 2**8=256KB("k8") and using sha256("sha2")
to calculate the checksum.
"fcm4blake2b32" means using FastCDC with an average chunk size
of 2**4=16MB("m4") and using "blake2b" to calculate and output
a checksum of length "32" bytes(save storage).
For large files, you may using large chunk size, such as "m4",
to reduce the number of chunks.
(default: fck4sha2)
chunksums-file and incr-file:
You can specify the previous chunksums file if you want to
resume a previous check, or if you want to find the incremental
updates (new files) of the directory.
Examples:
$ chunksum /etc > ~/etc.chunksums
$ chunksum -n fcm4blake2b32 -m ~/Videos
$ chunksum -n fcm4blake2b32 -f ~/Videos/chunksums ~/Videos
$ chunksum -n fcm4blake2b32 -f ~/chunksums -i ~/chunksums.incr ~/Videos
Metadata
Release files for chunksum 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| chunksum-0.6.0.tar.gz | 11.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| chunksum-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / chunksum-0.6.0.tar.gz
| Download URL | chunksum-0.6.0.tar.gz |
|---|---|
| Size | 11.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9524b1ff0394e9f34c8d0b90b14de35b3cbaaa2ab418a3157fddb3f499406ab9
|
|
BLAKE2b-256 checksum How to use checksums |
9c942720ca80dc540f041dd0cc801998cdba45adb5527ba2ca586b8e9dd6a2a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.9.2 Linux/5.18.0-4mx-amd64
|
Release files / chunksum-0.6.0-py3-none-any.whl
| Download URL | chunksum-0.6.0-py3-none-any.whl |
|---|---|
| Size | 14.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a57f5961125da4a912b74a6ef9be320952f95afbfffbd42a1362fa8dfba391d5
|
|
BLAKE2b-256 checksum How to use checksums |
17330cc1304092d891840e0bc4a47619f3b303b5a770026baaf1cff7baa756c9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.2 CPython/3.9.2 Linux/5.18.0-4mx-amd64
|