Pre-release
This release is a pre-release and may not be stable for production use.
Unit testing in Spark is made easier with sparkle-test, the settings are tuned for performance and your unit tests don’t leave any files in your workspace. There is one convenience method for asserting dataframe equality.
1 maintainer
Release files for sparkle-test 1.0.0.dev20191015110733
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sparkle-test-1.0.0.dev20191015110733.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sparkle_test-1.0.0.dev20191015110733-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / sparkle-test-1.0.0.dev20191015110733.tar.gz
| Download URL | sparkle-test-1.0.0.dev20191015110733.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
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Release files / sparkle_test-1.0.0.dev20191015110733-py3-none-any.whl
| Download URL | sparkle_test-1.0.0.dev20191015110733-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|
