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swampy-spatial-datacube

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1.1.4 swampy_spatial_datacube-1.1.4-py3-none-any.whl

Wheel Details

Project: swampy-spatial-datacube
Version: 1.1.4
Filename: swampy_spatial_datacube-1.1.4-py3-none-any.whl
Download: [link]
Size: 28189
MD5: cdca02ce0f22d4e3e668eaf2c30f26f8
SHA256: f448dbb08ed916aacf307aaa309e7cfc4a32cf7242c3666945d4018bddcdc684
Uploaded: 2018-10-23 05:59:17 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.0
Name: swampy-spatial-datacube
Version: 1.1.4
Summary: swampy_spatial_datacube
Author: Mike Caccetta
Author-Email: mike.caccetta[at]csiro.au
License: Unknown
Keywords: Hydrology Modeling Bathymetry
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Platform: any
Requires-Dist: datacube (>=1.5.1)
Requires-Dist: s-swampy (>=0.2.2)
[Description omitted; length: 26 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.30.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
swampy_spatial_datacube/__init__.py sha256=3k7oS7eWWLvYCqvekgy2Ur7m7ugHUiUYjfZGeJ-N5KU 38
swampy_spatial_datacube/load_config_file.py sha256=mJAbJZAvjUIYng15qBxh1fnD1hoigWFUNIq70i28ZSc 1845
swampy_spatial_datacube/masks.py sha256=C_W6xCROenm8ChBEaikBm1VA3QIT02BGVRcizbFPGMg 1679
swampy_spatial_datacube/nc_convert.py sha256=35ndVfnFAWOb9SggzbXFTGjCW7KfMYeKjiGad5HDRhY 5154
swampy_spatial_datacube/pbs_job_setup.py sha256=5ha0sfizmCoF7jxdc35ipmbo__wwCcoE_EsBwgfXFO8 9367
swampy_spatial_datacube/query_datacube.py sha256=3WbEC-9apt-KI4LNKCKrCGJuqZKSrzC_E3UYrS8s4Zc 16082
swampy_spatial_datacube/sam_com_multi_process.py sha256=zcGlpCtcbxSQGYXSGWvz1RlpfloMnbjch9iOcVnkR18 5608
swampy_spatial_datacube/swampy_datacube_plotting.py sha256=xSHqPuB3byjabC0EVsWP7yJM_1DFHSzt25Xi4tcagFI 8045
swampy_spatial_datacube/swampy_spatial_datacube.py sha256=I-O165KnBpzd0ibRZ_UV41kOrxHTivPlVlAAvd-Att0 41349
swampy_spatial_datacube-1.1.4.dist-info/DESCRIPTION.rst sha256=ZTc_RxU-ga6Ii_SZSeS0VfStD-dLU0EI2a3osKUE0zc 26
swampy_spatial_datacube-1.1.4.dist-info/METADATA sha256=64w00Bc8_IorqZGotN5FQxgNvvEu2QQqMYbGgZb7XR8 520
swampy_spatial_datacube-1.1.4.dist-info/RECORD — —
swampy_spatial_datacube-1.1.4.dist-info/WHEEL sha256=8Lm45v9gcYRm70DrgFGVe4WsUtUMi1_0Tso1hqPGMjA 92
swampy_spatial_datacube-1.1.4.dist-info/entry_points.txt sha256=Y42ZMyImhD7LOFhW382bzodNBskHT4-z_sL28v433Z0 360
swampy_spatial_datacube-1.1.4.dist-info/metadata.json sha256=hK54Ca6-a6a9k4vwekPyGcDyPGUnEl899EuSnP-BB7A 1500
swampy_spatial_datacube-1.1.4.dist-info/top_level.txt sha256=F2H3h8e7_o7X_azILxLWYl6UeF9wawcrp1YKXSYAMwA 24

top_level.txt

swampy_spatial_datacube

entry_points.txt

[console_scripts]
nc_convert = swampy_spatial_datacube.nc_convert:nc_convert
pbs_job_setup = swampy_spatial_datacube.pbs_job_setup:main
query_datacube = swampy_spatial_datacube.query_datacube:main
swampy_spatial_datacube = swampy_spatial_datacube.swampy_spatial_datacube:main
tile_quicklooks = swampy_spatial_datacube.swampy_datacube_plotting:tile_quicklooks