No project description provided

Project description

Baskerville

Infer and validate data-type schemas in Python.

Example

# mascots.csv
Name,LOC,Species
Ferris,42,Crab
Corro,7,Urchin

>>> import baskerville
>>> baskerville.infer_csv("mascots.csv")
[Field(name=Name, valid_types=[Text(min_length=5, max_length=6)], nullable=False), Field(name=LOC, valid_types=[Integer(min_value=7, max_value=42), Float(min_value=7, max_value=42), Text(min_length=1, max_length=2)], nullable=False), Field(name=Species, valid_types=[Text(min_length=4, max_length=6)], nullable=False)]

Project details

Release history Release notifications | RSS feed

0.3.0

Mar 3, 2024

0.2.0

Sep 14, 2023

0.1.0

Sep 14, 2023

0.0.1

Sep 7, 2023

This version

0.0.0

Sep 6, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

baskerville-0.0.0.tar.gz (16.2 kB view hashes)

Uploaded Sep 6, 2023 Source

Built Distributions

baskerville-0.0.0-cp37-abi3-win_amd64.whl (260.0 kB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ Windows x86-64

baskerville-0.0.0-cp37-abi3-win32.whl (256.5 kB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ Windows x86

baskerville-0.0.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ manylinux: glibc 2.17+ x86-64

baskerville-0.0.0-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl (1.6 MB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ manylinux: glibc 2.17+ s390x

baskerville-0.0.0-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (1.4 MB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ manylinux: glibc 2.17+ ppc64le

baskerville-0.0.0-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (1.3 MB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ manylinux: glibc 2.17+ ARMv7l

baskerville-0.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.3 MB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ manylinux: glibc 2.17+ ARM64

baskerville-0.0.0-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl (1.4 MB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ manylinux: glibc 2.5+ i686

baskerville-0.0.0-cp37-abi3-macosx_11_0_arm64.whl (412.1 kB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ macOS 11.0+ ARM64

baskerville-0.0.0-cp37-abi3-macosx_10_7_x86_64.whl (419.8 kB view hashes)

Uploaded Sep 6, 2023 CPython 3.7+ macOS 10.7+ x86-64

Hashes for baskerville-0.0.0.tar.gz

Hashes for baskerville-0.0.0.tar.gz
Algorithm	Hash digest
SHA256	`b74e94f98e83a635b06157fde7d6347376973c32a587c8f7d06f85cb7e003f2b`
MD5	`6f5d0aaf20770163e119a3e47b1a8c70`
BLAKE2b-256	`62f2bc0888d262f30889be9edd61655b0a14b9c039a21f9ca6354c9bcbe2655d`

Hashes for baskerville-0.0.0-cp37-abi3-win_amd64.whl

Hashes for baskerville-0.0.0-cp37-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`83ef5e6e844590e3af6313ee122316047787e0de2eb50e21fbd2739e7672a135`
MD5	`9cb16fe03bc4ae9ec0b376508b4959ba`
BLAKE2b-256	`d3b59d206ed8d3a23eebcc79b7fd09c9a823852b7c58243e70eb983e709d6c13`

Hashes for baskerville-0.0.0-cp37-abi3-win32.whl

Hashes for baskerville-0.0.0-cp37-abi3-win32.whl
Algorithm	Hash digest
SHA256	`c07a5887d660e9f1089f1a3a1c6f80195dd52acff7829408b9a80e261453b42e`
MD5	`8f1950ca94df5dfeb58b5ca922ad12bf`
BLAKE2b-256	`6c38d5f1ee52b63573983d4a97fe6784d53867428f505d1d3dd18a66c86fcc0a`

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`374ee1cb63616b4434f47b0006cf0c580c3da58333053ad2fdb07ae8365a4ff1`
MD5	`c1c28eb81c12696398f1e496b01af925`
BLAKE2b-256	`821ccfb32567c95be51c2c7a02d2bde20ed2a4c0732b4a94397303378b7e5672`

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm	Hash digest
SHA256	`ebf963ab8b11fa7eab743e6b1fa0183bc60b54e658ad905591fcd6d90b45cde7`
MD5	`626cb31d5930c05bf58af7e379f00dd2`
BLAKE2b-256	`ec5677cd251f94cc99dfb916f499ec67e6ef0f79aa157b08a0122d7c4029afc2`

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm	Hash digest
SHA256	`e81e5fa7b37ae0702845ce11fff049b7df29bde92f1c2f59780758a14167fdac`
MD5	`1e6dd534db5873ada643068be17d6786`
BLAKE2b-256	`a9f36ac056e62a734ed21da9b21c5db1d7946cb56e2a69d8b010aadf622d29e5`

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm	Hash digest
SHA256	`622e4839f1d424600083d3fdd67437945f238358949d0bb6a24ba92ba1461d76`
MD5	`53c12ab074e7578cb590e31dccea52b9`
BLAKE2b-256	`2642bd4bba7f8f3af899da86ac1c4fe3f84568a8d4b986048032d8683a4f1914`

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm	Hash digest
SHA256	`988b3aa2582fb0648344b75b654c0c29a6c2031e27cd7970863b7f31aa5efbb7`
MD5	`12340c94e658e59863de080a193cb327`
BLAKE2b-256	`48c77ef2b57518ac0a71d79782eaaa95b260027ac21b05c03bd22ae04520fc0c`

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl

Hashes for baskerville-0.0.0-cp37-abi3-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm	Hash digest
SHA256	`e9819b8a3df9e86b7dcb142baf41349817240fe1aed9c95362c600f5f94f935c`
MD5	`0215c353d1b92f9ccdad456ff874eddc`
BLAKE2b-256	`70e2fd1a7f3e769c8306295cd40112357311bee84d437a87d106b6af117c3ccc`

Hashes for baskerville-0.0.0-cp37-abi3-macosx_11_0_arm64.whl

Hashes for baskerville-0.0.0-cp37-abi3-macosx_11_0_arm64.whl
Algorithm	Hash digest
SHA256	`74f550602fa10a4daf532e41001c3174901de313845250253a3b5f739f3cba3d`
MD5	`ad879608a51d556bc7b5568c745aa92d`
BLAKE2b-256	`0fc23bd84704c42bd4daa6ecb5d833248a37df0508ae30ecc1c553d25b08ce9d`

Hashes for baskerville-0.0.0-cp37-abi3-macosx_10_7_x86_64.whl

Hashes for baskerville-0.0.0-cp37-abi3-macosx_10_7_x86_64.whl
Algorithm	Hash digest
SHA256	`ce5672aa62debb6c05d8e22724cbf055ef8a16193a7290daacf32c484c295afc`
MD5	`7e92f97f15903394968b75e9cefc4735`
BLAKE2b-256	`9ca6c88ed17e6e959e7f42b2834e19521fe44458abad4ff943da9dbe6fd14758`