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1.0.1 micrompn-1.0.1-py3-none-any.whl

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Project: micrompn
Version: 1.0.1
Filename: micrompn-1.0.1-py3-none-any.whl
Download: [link]
Size: 46082
MD5: c15788b183a1ec32729a583b192966d5
SHA256: 23df5b8260aa3b1a6525fe5fd53d1b8408bd6909b9d8179f7932a4bbe5df8c9d
Uploaded: 2023-06-12 15:41:18 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: micrompn
Version: 1.0.1
Summary: MicroMPN: Software to estimate Most Probable Number (MPN) bacterial abundance from microplates.
Author-Email: "Adam R. Rivers" <adam.rivers[at]usda.gov>
License: CC0
Keywords: microbiology,mpn
Classifier: License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: wellmap
Requires-Dist: matplotlib
Description-Content-Type: text/markdown
[Description omitted; length: 7615 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
micrompn/__init__.py sha256=Qjci_E1kar9GEbAfYW0Lr5vj4h_S9lT6yhtDCnvVoQo 107
micrompn/_version.py sha256=jfpxxup8_WijhRsk1sE1WuWsTrZLOofguKnpC74vx9w 160
micrompn/main.py sha256=Fyy0Nv8Kd_2aRR6Qm6kyLZ6ZYuAS0XYRuavnNPBnPZU 13984
micrompn/mpn.py sha256=5K0gfeLT6_vB4f7RtlGSzvy9wpsQsb_8X5llcwGuBWE 21909
micrompn/data/example1-output.csv sha256=x8Si9EXh56VXG88qcDstOQVr8JIhz4fR2O_TJ7QIA7M 2141
micrompn/data/example1_mapfile.toml sha256=X-iQPlMW7FoiX4sfJEAwF2_XCLNtzoOv6ImKcCVQKwE 400
micrompn/data/example1_plate_data.csv sha256=k2luWHnIN9A58noeVBXgAojf2G21YngHHm8WiqZtdvQ 83557
micrompn/data/additional_plate_layout_examples/micrompn_384_mock/384_4_samples/384_4_samples_horizontal_dilutions.csv sha256=VK6e5YGrUqk17QYnhhG5XL5VvLw1dbiBBN2YQU-roPM 10590
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micrompn/data/additional_plate_layout_examples/micrompn_384_mock/384_4_samples/microplate_384_4_samples_horizontal_dilutions.txt sha256=w-FnuUvAEhVqqQ0U5Bq-ZnQnaqSvJkWzg6nALlWv0Eg 1258
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micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_2_samples_horizontal_dilutions/96_2_samples_horizontal_dilutions.csv sha256=zi2_YBOQSPVKJGtGSztzBJ8n9vopK2FuNMNYyCYj4UI 2530
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micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_2_samples_horizontal_dilutions/microplate_96_2_samples_horizontal_dilutions.txt sha256=Jj17Aw3jOKXrZNThykEFS8tWBrWpglex3GwI-7T8wlA 813
micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_2_samples_vertical_dilutions/96_2_samples_vertical_dilutions.csv sha256=1FVkoc1SB2T6_EyFJSETyDFn4QqBvHimCpRAdXDb_aE 2530
micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_3_samples_vertical_dilutions/96_3_samples_vertical_dilutions.csv sha256=o4ySbdUMaKICgaVDBc_dijflscp1C6C6Vmlt4dp7Tl8 2530
micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_3_samples_vertical_dilutions/OUTFILE_96_2_samples_vertical_dilutions.csv sha256=xmGzSWemob8FV717I7lOh7V9q1T7G9-lY4qgDHBous0 254
micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_3_samples_vertical_dilutions/OUTFILE_96_3_samples_vertical_dilutions.csv sha256=FZzRWGkosPQu32IEuRNvNYV2cTRPaGg-dSb85GlWgiM 232
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micrompn/data/additional_plate_layout_examples/micrompn_96_mock/96_3_samples_vertical_dilutions/microplate_96_3_samples_vertical_dilutions.txt sha256=IMw67EmPRrRB4TKNwRmdNfg3pzDErn6IHSWTVvLL04U 825
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micrompn-1.0.1.dist-info/entry_points.txt sha256=hACOBjQzDFeG4P2yL6AsGGvunvNWnbopen7CmuBHyao 43
micrompn-1.0.1.dist-info/top_level.txt sha256=sgkAApMRlVyWlq3zUrS9KXkHNRQ9EpJ8Jn0Nr_MYwSc 9
micrompn-1.0.1.dist-info/RECORD — —

top_level.txt

micrompn

entry_points.txt

[console_scripts]
micrompn = micrompn:main