c++/python version of coordtransform

These details have not been verified by PyPI

Project links

Homepage

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

nano-fmm

Online document: readthedocs

TODO

TODO:

collapse
export geojson with random stroke (should be consistent)

Project details

These details have not been verified by PyPI

Project links

Homepage

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

0.1.3

Dec 9, 2023

0.1.2

Dec 2, 2023

0.1.1

Nov 29, 2023

Download files

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

Source Distribution

nano_fmm-0.1.3.tar.gz (1.4 MB view hashes)

Uploaded Dec 9, 2023 Source

Built Distributions

nano_fmm-0.1.3-cp312-abi3-win_arm64.whl (383.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.12+ Windows ARM64

nano_fmm-0.1.3-cp312-abi3-win_amd64.whl (417.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.12+ Windows x86-64

nano_fmm-0.1.3-cp312-abi3-win32.whl (353.1 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.12+ Windows x86

nano_fmm-0.1.3-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (658.7 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.12+ manylinux: glibc 2.17+ x86-64

nano_fmm-0.1.3-cp312-abi3-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl (900.3 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.12+ macOS 10.14+ universal2 (ARM64, x86-64) macOS 10.14+ x86-64 macOS 11.0+ ARM64 macOS 11.0+ universal2 (ARM64, x86-64)

nano_fmm-0.1.3-cp311-cp311-win_arm64.whl (383.9 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.11 Windows ARM64

nano_fmm-0.1.3-cp311-cp311-win_amd64.whl (416.9 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.11 Windows x86-64

nano_fmm-0.1.3-cp311-cp311-win32.whl (352.5 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.11 Windows x86

nano_fmm-0.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (663.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

nano_fmm-0.1.3-cp311-cp311-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl (888.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.11 macOS 10.14+ universal2 (ARM64, x86-64) macOS 10.14+ x86-64 macOS 11.0+ ARM64 macOS 11.0+ universal2 (ARM64, x86-64)

nano_fmm-0.1.3-cp310-cp310-win_arm64.whl (382.4 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.10 Windows ARM64

nano_fmm-0.1.3-cp310-cp310-win_amd64.whl (415.9 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.10 Windows x86-64

nano_fmm-0.1.3-cp310-cp310-win32.whl (351.7 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.10 Windows x86

nano_fmm-0.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (659.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

nano_fmm-0.1.3-cp310-cp310-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl (886.4 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.10 macOS 10.14+ universal2 (ARM64, x86-64) macOS 10.14+ x86-64 macOS 11.0+ ARM64 macOS 11.0+ universal2 (ARM64, x86-64)

nano_fmm-0.1.3-cp39-cp39-win_arm64.whl (383.9 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.9 Windows ARM64

nano_fmm-0.1.3-cp39-cp39-win_amd64.whl (400.2 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.9 Windows x86-64

nano_fmm-0.1.3-cp39-cp39-win32.whl (351.7 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.9 Windows x86

nano_fmm-0.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (659.8 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.9 manylinux: glibc 2.17+ x86-64

nano_fmm-0.1.3-cp39-cp39-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl (886.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.9 macOS 10.14+ universal2 (ARM64, x86-64) macOS 10.14+ x86-64 macOS 11.0+ ARM64 macOS 11.0+ universal2 (ARM64, x86-64)

nano_fmm-0.1.3-cp38-cp38-win_amd64.whl (415.9 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.8 Windows x86-64

nano_fmm-0.1.3-cp38-cp38-win32.whl (351.7 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.8 Windows x86

nano_fmm-0.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (658.6 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.8 manylinux: glibc 2.17+ x86-64

nano_fmm-0.1.3-cp38-cp38-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl (886.3 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.8 macOS 10.14+ universal2 (ARM64, x86-64) macOS 10.14+ x86-64 macOS 11.0+ ARM64 macOS 11.0+ universal2 (ARM64, x86-64)

nano_fmm-0.1.3-cp37-cp37m-win_amd64.whl (412.9 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.7m Windows x86-64

nano_fmm-0.1.3-cp37-cp37m-win32.whl (355.7 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.7m Windows x86

nano_fmm-0.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (672.3 kB view hashes)

Uploaded Dec 9, 2023 CPython 3.7m manylinux: glibc 2.17+ x86-64

Hashes for nano_fmm-0.1.3.tar.gz

Hashes for nano_fmm-0.1.3.tar.gz
Algorithm	Hash digest
SHA256	`07837bd0216609167a694704d0bd9f737f644b12a79ba679f0a01daa55f31ba1`
MD5	`f87cdd537ec399a43186f46fb0e2ad58`
BLAKE2b-256	`a0396a1cc737dfa0f1c9521b525c9a7adc0d9c8477d5aacf1bb7706a81df7438`

Hashes for nano_fmm-0.1.3-cp312-abi3-win_arm64.whl

Hashes for nano_fmm-0.1.3-cp312-abi3-win_arm64.whl
Algorithm	Hash digest
SHA256	`da65183603b9f3531c5b6d8b1f2be6425ab5e56aa0f5d1293de693d352b6ed41`
MD5	`5cdc95512478f560ff760560f59a3fe3`
BLAKE2b-256	`102f5f65b15ee371579f7e29d28d9c3ac461cf6d16ea313a3b90bd92aa2b21f5`

Hashes for nano_fmm-0.1.3-cp312-abi3-win_amd64.whl

Hashes for nano_fmm-0.1.3-cp312-abi3-win_amd64.whl
Algorithm	Hash digest
SHA256	`48ad4c3d95d5ac8fe981a164d254f5da0da8d58a15454192f6321e8f0cc7ad21`
MD5	`026d53eef85c0943808d90b1c2f0b16b`
BLAKE2b-256	`11d060e53114f4774b11076f52f3cb24ae303f78d72acbc0ced54e516f54e8b9`

Hashes for nano_fmm-0.1.3-cp312-abi3-win32.whl

Hashes for nano_fmm-0.1.3-cp312-abi3-win32.whl
Algorithm	Hash digest
SHA256	`289c6c6493d9fa4bbc987972f7548f04264f501dde8a8b1b42ed7b9a455f4989`
MD5	`9ce69314210d877578216b41cf0eba78`
BLAKE2b-256	`8b03e4ae3efa1e83aa6afe452d354a8279e841f6b8820f9f4b5cbb935a0d6ce6`

Hashes for nano_fmm-0.1.3-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nano_fmm-0.1.3-cp312-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`39a765146d52fa3f18ba3abddaec1c94445f5777e5d51aa3f9b2f1e0b13497dc`
MD5	`0cf9888cf61440d17fa1940a0bd15a2c`
BLAKE2b-256	`0f6c28b6ae628bd3dd6cf008514c2eeec08931aaf92db69f87cc135e75a04be2`

Hashes for nano_fmm-0.1.3-cp312-abi3-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl

Hashes for nano_fmm-0.1.3-cp312-abi3-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`0379edc1122e06c87c63f6078502bd7a71739885380e62b45bf725b977200949`
MD5	`a68f77e94b27c6e9092e9609e24f865f`
BLAKE2b-256	`abc469de7c22978cfa87baf77979ce70906a24b3cdcd0bb6870f52046988e1a4`

Hashes for nano_fmm-0.1.3-cp311-cp311-win_arm64.whl

Hashes for nano_fmm-0.1.3-cp311-cp311-win_arm64.whl
Algorithm	Hash digest
SHA256	`be3569885e7d03d23e2c35fe208b93fb7864c9a1d24b9718b24e5c0c0cc9497e`
MD5	`d24bc2812ebb6765530b5f2e38191ff6`
BLAKE2b-256	`e3e8c1789523a4f9ea8aa69b082f053c5cdb19b0e4b1252a2c37fd4c55c6b04d`

Hashes for nano_fmm-0.1.3-cp311-cp311-win_amd64.whl

Hashes for nano_fmm-0.1.3-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`3a84caf2bd094ff42db3100675464ab77ef7eb0de6dfaaa6a6453fa3e7cacd46`
MD5	`8e74d90fc4267f3b12cffec685041bf9`
BLAKE2b-256	`c0fc538917ae0000ada62c3531510b166780a9efd8c21ad3a94da806c0e0741b`

Hashes for nano_fmm-0.1.3-cp311-cp311-win32.whl

Hashes for nano_fmm-0.1.3-cp311-cp311-win32.whl
Algorithm	Hash digest
SHA256	`ec5ab84c8564a5d53792dde7274bada21b9af06490841a28003cf97736e6b16e`
MD5	`421fdd40fd83ec8f173429841f5f03b2`
BLAKE2b-256	`48bac8afa0d0d740e6810f7ce5a40d721544840a73d4314325330411dc16b7e5`

Hashes for nano_fmm-0.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nano_fmm-0.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`2cd2d1762810f440a13cf5849f573712420c754ec10524a9a4418b664710a992`
MD5	`ac2da8a7750fbcff6721e6fcc97bc997`
BLAKE2b-256	`aa814f1bf963c069f62004bc8d1cd024d9195cb1b74f9de098d68a9cb476de7d`

Hashes for nano_fmm-0.1.3-cp311-cp311-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl

Hashes for nano_fmm-0.1.3-cp311-cp311-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`e9ddf242b8069e165f2faf19f99af3507d9291f1e506168ca90f30b98059b9d1`
MD5	`029197330d178d4d866d326078de5103`
BLAKE2b-256	`19b70a8f0f687dfdc851a971d61613621874a2491ad8e3413a7f8cb78aa5b73b`

Hashes for nano_fmm-0.1.3-cp310-cp310-win_arm64.whl

Hashes for nano_fmm-0.1.3-cp310-cp310-win_arm64.whl
Algorithm	Hash digest
SHA256	`81470791c87b649eb773f5ab9893860c7c596f9b57d96ce337aab0c9a75022a1`
MD5	`b59fcbaf769fa3ecaa8ce21517f37739`
BLAKE2b-256	`beea69f325c68d51f47ffc2a9e17432d53becbbd35902dced3435681fa79a487`

Hashes for nano_fmm-0.1.3-cp310-cp310-win_amd64.whl

Hashes for nano_fmm-0.1.3-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`084f0e0290013b14beaf32f2065f7e9732ce54119e41831435f0e627b92551d0`
MD5	`09dff06737050e223dc5560a0e2ec713`
BLAKE2b-256	`c0040421533468a4818cf6f4e79b533b5e8324e45fd1cdbda5e18805e07d0478`

Hashes for nano_fmm-0.1.3-cp310-cp310-win32.whl

Hashes for nano_fmm-0.1.3-cp310-cp310-win32.whl
Algorithm	Hash digest
SHA256	`77e423f35e431ce5188116e38e46293e37b8686f0016fb862ed361f029731906`
MD5	`29d3397af4f0677265b739af6df3b1ce`
BLAKE2b-256	`d7e331b81f15b7a183fb8ed033db04bbeeda5692b94d0ce79df04b94e149a995`

Hashes for nano_fmm-0.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nano_fmm-0.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`bc9a7b4429363875b3be0dd6393360274fb68eb51c82b1869d68f2712a627ebe`
MD5	`fa1b10c3ed59a54535be69a713a1bfb8`
BLAKE2b-256	`376c40ccadc224f1568be3ed52677e1d6f689795b6413c1a53935055f7313c4a`

Hashes for nano_fmm-0.1.3-cp310-cp310-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl

Hashes for nano_fmm-0.1.3-cp310-cp310-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`35bbb07ac76b580a7b885a7e7db696097ecd172ccf3dc47a5862d9fbe694d800`
MD5	`a130860bf576b38caee078530763b66f`
BLAKE2b-256	`687cbeb0b8c31242224497488a8bf5d11b0d5e41fa4ad88fdcbc9d5149ed9b9e`

Hashes for nano_fmm-0.1.3-cp39-cp39-win_arm64.whl

Hashes for nano_fmm-0.1.3-cp39-cp39-win_arm64.whl
Algorithm	Hash digest
SHA256	`17269b01ba2fc8ffc267bd0d7578bd9f72887b8476c9f0d85c9996547c24045a`
MD5	`24f49ca479431ee01af2459fbc747618`
BLAKE2b-256	`425f00819659841fd770c60ce86490e11eaba0df3fba34216570707c1886aec0`

Hashes for nano_fmm-0.1.3-cp39-cp39-win_amd64.whl

Hashes for nano_fmm-0.1.3-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`519ec3a3b1d670e9d4118daf42469e0b37b65cdaf378500fc257f0776a473f67`
MD5	`82d404f0d58c80243e2563fcdd4ad12b`
BLAKE2b-256	`eb35ab9ee69feee8c44968930e11675d122efe2d5e6f2a9f085f42d0dd4c8d5c`

Hashes for nano_fmm-0.1.3-cp39-cp39-win32.whl

Hashes for nano_fmm-0.1.3-cp39-cp39-win32.whl
Algorithm	Hash digest
SHA256	`93b5f2ef9479dfbae077ce3d347a231fab9d67f5643795cde1a9fd9c0862a693`
MD5	`5ef7c20b6b4bf751049f8e5517f2a7e0`
BLAKE2b-256	`2e5f16653ffdad1b881be25ca4b42c4e9d1979a8bccbd4c83b9f921952ae6546`

Hashes for nano_fmm-0.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nano_fmm-0.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`22403f8349841e9a9aae7f31ff61f5547c1edb75e4d7de0b402019ae37f84a42`
MD5	`37cbf05088690d8c1497f58db99451c5`
BLAKE2b-256	`05b641c4225100b41e77b333360343cd513891098148b6e1b996bfc2d2e62711`

Hashes for nano_fmm-0.1.3-cp39-cp39-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl

Hashes for nano_fmm-0.1.3-cp39-cp39-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`798177084c08b948943b4207c154c41f54d4d31b5c3cbaa9c4f2d94025b6155f`
MD5	`539bba1fdc30288fb0c8e419bf3d05d6`
BLAKE2b-256	`0ba8faee7fb6f3bd2a2f1791956e4bc12e71d8621e133499c8e38654752abf3c`

Hashes for nano_fmm-0.1.3-cp38-cp38-win_amd64.whl

Hashes for nano_fmm-0.1.3-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`4ac785e61c4a1272a622d6edb5b41ac18328ab71bbe86feed4b05871a3790775`
MD5	`b708a26c335641dda1488d7840a20ad6`
BLAKE2b-256	`0d61e62f05dc0c920223f21b3e1ae7cfcaff56ca98d222153ebf79fe374fdf43`

Hashes for nano_fmm-0.1.3-cp38-cp38-win32.whl

Hashes for nano_fmm-0.1.3-cp38-cp38-win32.whl
Algorithm	Hash digest
SHA256	`c77d44b7d09a3a13c202916dcae3449e2e8f3fb344a2a7e60dffaf91f042900c`
MD5	`1909a358a67d88b97712f80c1b3b8235`
BLAKE2b-256	`a6a9496b43fddd2cf1558d3698555ffd1e9154292d93c06b66cf2cbd30e5dfb2`

Hashes for nano_fmm-0.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nano_fmm-0.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`15b123d37e6e1d3117989bf374ee96d8e6efa137bbf5f066fc9ffe168f5aa3c7`
MD5	`93645517ffb108d0d3c36154c68b4c3c`
BLAKE2b-256	`5dc9b46afc19cd7c78ca056935ac4b56110703a391cba66fabf9792ee9fbe09f`

Hashes for nano_fmm-0.1.3-cp38-cp38-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl

Hashes for nano_fmm-0.1.3-cp38-cp38-macosx_10_14_universal2.macosx_10_14_x86_64.macosx_11_0_arm64.macosx_11_0_universal2.whl
Algorithm	Hash digest
SHA256	`dad442b5afba27a737e383833eceedf16a243edf5b5cd35a8f4878a7918c8871`
MD5	`d641879d7465483df480df4b9bcd4893`
BLAKE2b-256	`b877362ed08e3e12838ed7729d6d9204f9d1b0822f1c193e9ac564a8e8496bab`

Hashes for nano_fmm-0.1.3-cp37-cp37m-win_amd64.whl

Hashes for nano_fmm-0.1.3-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`bf2447d913fc45c7502d55bdec008583929bfad1bd1c9f92026f7253122d27e4`
MD5	`286f0b31e25eab623dee645df21b2a0b`
BLAKE2b-256	`b5ce6d538d28cf5d1e85752449031dbcec07617104808d7bca0cbae645fe5b5d`

Hashes for nano_fmm-0.1.3-cp37-cp37m-win32.whl

Hashes for nano_fmm-0.1.3-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`8d15d56cddd4191d7e6399c79ca22545a2fa54be85bf1c39690fcd055e0312ad`
MD5	`cd38cb0177b624545fcbb8827c9a276e`
BLAKE2b-256	`fb32908bdcf791f826b13ada3a702ea6b94bcf642b615cd5b50ad8dee1a2cad8`

Hashes for nano_fmm-0.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for nano_fmm-0.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`8030ff0f6f1c5c944117fda8c7ab89db6c7021ba3be31b48c8e38d8cb91c978e`
MD5	`879f372d9bdf42ac7bdcada809176850`
BLAKE2b-256	`7fd1b9603c71a8c522eb161b1982cc807b1f7b31071feefa709c369f3e5e7006`