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lidar

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0.8.4 lidar-0.8.4-py2.py3-none-any.whl

Wheel Details

Project: lidar
Version: 0.8.4
Filename: lidar-0.8.4-py2.py3-none-any.whl
Download: [link]
Size: 1152654
MD5: 6f984f8d6f8b102f42f6e311c6dfe352
SHA256: ac0b9bf38b1006ad3c57697a28d0248a67b3fc243f1dd1de7deed34312f50b72
Uploaded: 2025-01-30 05:17:23 +0000

dist-info

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

METADATA

Metadata-Version: 2.2
Name: lidar
Version: 0.8.4
Summary: A Python package for delineating nested surface depressions in digital elevation data
Author: Qiusheng Wu
Author-Email: giswqs[at]gmail.com
Home-Page: https://github.com/opengeos/lidar
License: MIT license
Keywords: lidar
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: Click (>=6.0)
Requires-Dist: gdown
Requires-Dist: geopandas
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pyshp
Requires-Dist: scikit-image
Requires-Dist: scipy
Requires-Dist: whitebox
Requires-Dist: geopandas; extra == "all"
Requires-Dist: rasterio; extra == "all"
Provides-Extra: all
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: summary
License-File: LICENSE
[Description omitted; length: 19292 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

Path Digest Size
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lidar/cli.py sha256=tPzbbhU_NzoPEPer-_OzMEYij170s1idOYYnLFEyaiQ 287
lidar/common.py sha256=OY6N4oGxxg9suY_g8RPjzdicaH8_831jARr8J164xz4 41946
lidar/example.py sha256=BUPCMh-EL9jadV2GzCvPcUtU0jxY2oZ6ePr7z_9P8Fg 1865
lidar/filling.py sha256=OWVCJRuHjrB91mqXLTHL7I8-8RNFna9OYG9jrS3U-OM 23568
lidar/filtering.py sha256=m1jSDlY5cNzVGh1GhwfCCAcBGOQ-wBM1iobOdb7mxBo 3706
lidar/gui.py sha256=fXE0LKSSKnJg_FMV1brvoBLZWuxWZNKGOeI9lzGpW_M 6461
lidar/lidar.py sha256=h0hwdogXGFqerm-5ZPeT-irPn91pCcQRjiHThXsRzEk 19
lidar/mounts.py sha256=AcASCMD8-AkxQdfRYsf3dh6iXKhe9uDOTCdk8V1ZzuI 3074
lidar/slicing.py sha256=T5TRhlvVNtubl-6Uxukx6vMU01f--IwpRhDe133TZ24 31346
lidar/data/dem.tif sha256=wPUl6i8at4vs9k2r3Aujht40wJIVGpXUY66bbNdBVPQ 1049975
lidar/data/dsm.tif sha256=G3lRKiHbfFI7X_4_uvrIr6ccROJGDiMUeQQinoeb490 641373
lidar/data/sink.tif sha256=HuaiINp69IfK_UTecacdVDZa10iOOHwCXssVFG6yjgw 641011
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lidar-0.8.4.dist-info/entry_points.txt sha256=PgEmYTlKiORw9IFkCwOlxBR7kyE_aEBPTfFHC5Wdbos 41
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lidar-0.8.4.dist-info/RECORD — —

top_level.txt

lidar

entry_points.txt

[console_scripts]
lidar = lidar.cli:main
Click>=6.0
gdown
geopandas
matplotlib
numpy
pandas
pyshp
scikit-image
scipy
whitebox