Skip to main content

Python wrapper for Evermizer

Project description

pyevermizer

Python wrapper for Secret of Evermore Randomizer from https://github.com/black-sliver/evermizer

This is used in Archipelago cross-game multiworld randomizer.

Import from package

  • Install from PyPI via pip install pyevermizer
  • Or download a release and pip install it
  • Or clone, build and install a wheel from source using
    git clone https://github.com/black-sliver/pyevermizer --recurse-submodules
    python3 -m build --wheel
    pip install dist/*.whl
    

Import from source

  • Clone with submodules using
    git clone https://github.com/black-sliver/pyevermizer --recurse-submodules
    
  • Simply import the cloned repo, it will auto-compile or run through cppyy. Either a C compiler or cppyy is required.

API

main(src: Path, dst: Path, placement: Path, apseed: str, apslot: str, seed: int, flags: str,
     money: int, exp: int, switches: list[str])  # create a randomized rom
get_locations() -> List[Location]  # returns a list of all non-sniff locations
get_sniff_locations() -> List[Location]  # returns a lof of all sniff spots
get_items() -> List[Item]  # returns a lost of all vanilla non-sniff items
get_sniff_items() -> List[Item]  # returns a list of vanilla sniff spot items
get_extra_items() -> List[Item]  # returns all extra items that can be placed, but are not vanilla
get_traps() -> List[Item]  # returns all traps that can be placed
get_logic() -> List[Location]  # returns the logic as real and pseudo locations for all locations that provide progress
P_...  # some progression IDs

class Location:
    name: str
    type: int  # location type, i.e. gourd, alchemy, boss
    index: int  # location index for each location type. (type, index) gives a unique ID
    difficulty: int  # difficulty 0..2 for bad/hidden spots
    requires: List[Tuple[int, int]]  # list of (amount, progression) required to reach the spot
    provides: List[Tuple[int, int]]  # list of (amount, progression) provided by reaching the spot

class Item:
    name: str
    progression: bool
    useful: bool
    type: int  # vanilla location type or extra location type, i.e. gourd, alchemy, boss, trap
    index: int  # item index for each location type. (type, index) gives a unique ID
    provides: List[Tuple[int, int]]  # list of (amount, progression) provided by obtaining the item

See Archipelago/worlds/soe for a complete example.

Project details


Download files

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

Source Distribution

pyevermizer-0.48.0.tar.gz (218.2 kB view details)

Uploaded Source

Built Distributions

pyevermizer-0.48.0-cp312-cp312-win_amd64.whl (87.7 kB view details)

Uploaded CPython 3.12 Windows x86-64

pyevermizer-0.48.0-cp312-cp312-musllinux_1_1_x86_64.whl (83.7 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

pyevermizer-0.48.0-cp312-cp312-musllinux_1_1_aarch64.whl (88.3 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

pyevermizer-0.48.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (88.1 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

pyevermizer-0.48.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (83.7 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

pyevermizer-0.48.0-cp312-cp312-macosx_10_9_x86_64.whl (76.3 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

pyevermizer-0.48.0-cp312-cp312-macosx_10_9_universal2.whl (138.3 kB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

pyevermizer-0.48.0-cp311-cp311-win_amd64.whl (87.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

pyevermizer-0.48.0-cp311-cp311-musllinux_1_1_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pyevermizer-0.48.0-cp311-cp311-musllinux_1_1_aarch64.whl (87.9 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

pyevermizer-0.48.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (87.8 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

pyevermizer-0.48.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

pyevermizer-0.48.0-cp311-cp311-macosx_10_9_x86_64.whl (76.2 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pyevermizer-0.48.0-cp311-cp311-macosx_10_9_universal2.whl (138.1 kB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

pyevermizer-0.48.0-cp310-cp310-win_amd64.whl (87.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

pyevermizer-0.48.0-cp310-cp310-musllinux_1_1_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pyevermizer-0.48.0-cp310-cp310-musllinux_1_1_aarch64.whl (87.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

pyevermizer-0.48.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (87.8 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

pyevermizer-0.48.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

pyevermizer-0.48.0-cp310-cp310-macosx_10_9_x86_64.whl (76.2 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pyevermizer-0.48.0-cp310-cp310-macosx_10_9_universal2.whl (138.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

pyevermizer-0.48.0-cp39-cp39-win_amd64.whl (87.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

pyevermizer-0.48.0-cp39-cp39-musllinux_1_1_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pyevermizer-0.48.0-cp39-cp39-musllinux_1_1_aarch64.whl (87.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

pyevermizer-0.48.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (87.8 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

pyevermizer-0.48.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

pyevermizer-0.48.0-cp39-cp39-macosx_10_9_x86_64.whl (76.2 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pyevermizer-0.48.0-cp39-cp39-macosx_10_9_universal2.whl (138.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

pyevermizer-0.48.0-cp38-cp38-win_amd64.whl (87.7 kB view details)

Uploaded CPython 3.8 Windows x86-64

pyevermizer-0.48.0-cp38-cp38-musllinux_1_1_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pyevermizer-0.48.0-cp38-cp38-musllinux_1_1_aarch64.whl (87.9 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

pyevermizer-0.48.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (87.9 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

pyevermizer-0.48.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (83.4 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64 manylinux: glibc 2.5+ x86-64

pyevermizer-0.48.0-cp38-cp38-macosx_10_9_x86_64.whl (76.2 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pyevermizer-0.48.0-cp38-cp38-macosx_10_9_universal2.whl (138.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file pyevermizer-0.48.0.tar.gz.

File metadata

  • Download URL: pyevermizer-0.48.0.tar.gz
  • Upload date:
  • Size: 218.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for pyevermizer-0.48.0.tar.gz
Algorithm Hash digest
SHA256 f5336a896cdcff4b1437e142f6df63fcb611c89169b5d9ff5417a4e67dd0655b
MD5 51853dabbf319f32df496c658ce11993
BLAKE2b-256 d24c419f436f7e254905d27f5d20f653edc969b8eaa80b469200ba8f985cb6f1

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 069ce348e480e04fd6208cfd0f789c600b18d7c34b5272375b95823be191ed57
MD5 da637d58099f1f0f3f3f58edf5de3b44
BLAKE2b-256 0ab9c531e2524f77f31acd0d3b6189425c5bce6dfed31bbe1fb1fcb068ffeddf

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 58164dddaba2f340b0a8b4f39605e9dac46d8b0ffb16120e2e57bef2bfc1d683
MD5 345242482adecc6be036c0535a8fb410
BLAKE2b-256 4013e1f15832545855dcfe1f712e7f2940e495e5b485e751aa5853ad223b0270

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 115dd09d38a10f11d4629b340dfd75e2ba4089a1ff9e9748a11619829e02c876
MD5 3ad99b5fa96ed51a4c82e337b645604a
BLAKE2b-256 46cab11ca974430356a8aa139a6ac038ac30f7d55dcc5f7661227a83ca5dc522

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b5e79cfe721e75cd7dec306b5eecd6385ce059e31ef7523ba7f677e22161ec6f
MD5 65cd3326928266d6425917ab16c6c89a
BLAKE2b-256 45221864f68da9697860cc803719d9c46fa4b8c013e9d9f9600224628f9cd345

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 382882fa9d641b9969a6c3ed89449a814bdabcb6b17b558872d95008a6cc908b
MD5 7d9a00adf25210fe92815735dab8a074
BLAKE2b-256 8b89a352faac810a69efa8ecb64489e0c8b7c66412c525fe7b079b25fd77f50a

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 92f67700e9132064a90858d391dd0b8fb111aff6dfd472befed57772d89ae567
MD5 307399ba7e7fdee4a181bee5fd142de3
BLAKE2b-256 932761e703674d3d70f1a2e5bf3e651062506505dd7ac77b072e46cb155c4def

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 fe4c453b7dbd5aa834b81f9a7aedb949a605455650b938b8b304d8e5a7edcbf7
MD5 71c9851b81f9040336ebff520347a8cd
BLAKE2b-256 468b916bf091edd9425194c277dab1152ebff36635ffeca2e381c882c8e455fb

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 c6bdbc45daf73818f763ed59ad079f16494593395d806f772dd62605c722b3e9
MD5 520879fccad0a2f3f1aa5a20cb31629a
BLAKE2b-256 67fd0b9cc3c2a2e1408766eb3da10937fde10c641a9000374f026d8e4ed7476a

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bb09f45448fdfd28566ae6fcc38c35a6632f4c31a9de2483848f6ce17b2359b5
MD5 0316815e1554fc9aded556829d3e1337
BLAKE2b-256 f4232da12a85964ee8a1e8a3aca1c470fd6d622de79d2648660318383debef2f

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 00a8b9014744bd1528d0d39c33ede7c0d1713ad797a331cebb33d377a5bc1064
MD5 5abb9acf232baa017f0746167d6e199a
BLAKE2b-256 d9302d3165191b314b128eba0a107365a580049d40a104218e70ae1942062e67

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 64ee69edc0a7d3b3caded78f2e46975f9beaff1ff8feaf29b87da44c45f38d7d
MD5 7f51132df254bf214bd942b87ddc1078
BLAKE2b-256 b079d13fd1450bbed19e75bb4762fbf190461352da1ebae275bfe00c338e718c

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9211bdb1313e9f4869ed5bdc61f3831d39679bd08bb4087f1c1e5475d9e3018b
MD5 6fcd21ea6ff3e6e74edba6ffc3f0ce25
BLAKE2b-256 abf7fd56d07b9fe078196fc3520d7ada2f4ee2f81f6cbccfdf0915917609e9e4

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 4a57821e422a1d75fe3307931a78db7a65e76955f8e401c4b347db6570390d09
MD5 5c963604c4dd89ab2f8c77b8910b596d
BLAKE2b-256 a337b7ec66c4c529060f290e55d28248bd972034b1d171aaee2800e4f578fcc2

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 04670cee0a0b913f24d2b9a1e771781560e2485bda31e6cd372a08421cf85cfa
MD5 f8d60b8efe68a97ea6853f7806f7cef2
BLAKE2b-256 0a2f1588e491a30ff902f54c532335383eb2548758aeaef91739c6fcaf99f835

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 971fe77d0a20a1db984020ad253b613d0983f5e23ff22cba60ee5ac00d8128de
MD5 7ee7341e895a85c09d50db58a9471619
BLAKE2b-256 07eb29590ea5dce308525099e15f66f215dc62db22dac474427fd26b02bd0e8a

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 127265fdb49f718f54706bf15604af1cec23590afd00d423089dea4331dcfc61
MD5 b62a2a9c1962d2a64f7c8386045c18ad
BLAKE2b-256 91bded08859ec6c4f84fb5ca9f18b45ebf22f3e57ee43a54220c30f4a2263ea0

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 d47576360337c1a23f424cd49944a8d68fc4f3338e00719c9f89972c84604bef
MD5 1d2dec84498c4df80edf1fe33f4f02ff
BLAKE2b-256 7a7749ed93c5f4abecb561499b4fb0e05863d0c92c00dc04880bed22d9ad50af

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 879659603e51130a0de8d9885d815a2fa1df8bd6cebe6d520d1c6002302adfdb
MD5 4b16809be5902ce81647d101ee6645ee
BLAKE2b-256 60374bf77835f4eccef2ceabcf4deaced78762ea66dfabe2c632a0690b9f646b

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6a91bfc53dd130db6424adf8ac97a1133e97b4157ed00f889d8cbd26a2a4b340
MD5 9ef92e5093b05f4880ccc2caa87fee8b
BLAKE2b-256 81b7fd3d6e6acd316f0de75cd28bc5eca18fe08ba6d4ee64438c81c5b9690641

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f3bf35fc5eef4cda49d2de77339fc201dd3206660a3dc15db005625b15bb806c
MD5 40103f77c60a130eab12aa02cca1bcfe
BLAKE2b-256 ec85a5f5d6f0a494c6b40cc0f07136cc5c13ed9019a7db2b051de8f50b1d1018

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 e7c8d5bf59a3c16db20411bc5d8e9c9087a30b6b4edf1b5ed9f4c013291427e4
MD5 290737d439e3b066177289b569e51536
BLAKE2b-256 a7c5480b206882b608ae47e6ca3ff28c5b539ed12aeb9511880d7b8266cfcd38

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 054a4d84ffe75448d41e88e1e0642ef719eb6111be5fe608e71e27a558c59069
MD5 1a2cf4402de0b5f7236e40f64b4e32ae
BLAKE2b-256 1ea7a17c0e9ac77b2c03cd2dff912c846e148ce680aa4d26fc537cb713d963e0

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 e6f141ca367469c69ba7fbf65836c479ec6672c598cfcb6b39e8098c60d346bc
MD5 fd322f2b0f18ce5018388ba8c71b9149
BLAKE2b-256 878f5cfebf5b775b6be3c6dc882b0538037d1ce4e86fd91833552e6c6795325d

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 6e65eb88f0c1ff4acde1c13b24ce649b0fe3d1d3916d02d96836c781a5022571
MD5 56f92967ace954e3803f41cd7b046472
BLAKE2b-256 7bb57d4da855768e2f2c1f8ba533b3aaa12059bcc92dae23bf773a53aef49a17

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e61e8f476b6da809cf38912755ed8bb009665f589e913eb8df877e9fa763024b
MD5 a68b1498ca306276d2476bcab38e400f
BLAKE2b-256 56d34f31215b92056e68680f7937408b6f0882007d05995327f472ebcf537ad3

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7e7c5484c0a2e3da6064de3f73d8d988d6703db58ab0be4730cbbf1a82319237
MD5 814487a194d4f98b10a6a98e73c0d3c1
BLAKE2b-256 bbe9dca1146e3b4b8efb55b0c6817e516303028013eea7bb5c16430ecbade0e5

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9033b954e5f4878fd94af6d2056c78e3316115521fb1c24a4416d5cbf2ad66ad
MD5 0679548339e025c004b59aa2bc376776
BLAKE2b-256 7fcf1a30d46d7f20378f15148b531047b8002a1d5135b490edaf9c34b52b0ad0

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 824c623fff8ae4da176306c458ad63ad16a06a495a16db700665eca3c115924f
MD5 0b329a79a1bd09fc208534b84950a46f
BLAKE2b-256 891f494cf0c7361015648d0807adc59ae6e78c5d6175ead789497435b9163989

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8e31031409a8386c6a63b79d480393481badb3ba29f32ff7a0db2b4abed20ac8
MD5 8a44bb3947b9ad73b0e9f4073503bf30
BLAKE2b-256 728909840ff1bcf9630026d28d82becf5ad2dde09c6a06b77c7fec20bee86959

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 7dbb7bb13e1e94f69f7ccdbcf4d35776424555fce5af1ca29d0256f91fdf087a
MD5 2ad61a6eb73cc6be744bd92ab4b3c28f
BLAKE2b-256 8f57559024830eb2f7beecb91ff811f962ab47e34f11153390f180c48798877d

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 3a24e331b259407b6912d6e0738aa8a675831db3b7493fcf54dc17cb0cb80d37
MD5 ba6e0a38799ad5a06741afb4240b86e6
BLAKE2b-256 03c8820bcb517d6b66e8a822c7808d57b70425480891d8116645b4db059b06bb

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fdda06662a994271e96633cba100dd92b2fcd524acef8b2f664d1aaa14503cbd
MD5 522633bbddbab59fb20072d8e24899de
BLAKE2b-256 d491f18b0dd69efb776f8e502320ef7c201a9dd5c660ddda53f034b79ad14dea

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0f0fc81bef3dbb78ba6a7622dd4296f23c59825968a0bb0448beb16eb3397cc2
MD5 c771462212a6f92c7e5fad7d33447e60
BLAKE2b-256 2bd58ce6207207858d9ae50329b6c7d9ce1eee16847b5c67131170e085117f77

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e07cbef776a7468669211546887357cc88e9afcf1578b23a4a4f2480517b15d9
MD5 8a49452b1be875e3b5bd0fd367cb3ca2
BLAKE2b-256 b40c8f1535841dba064a08bcab2e43f081f7d5dc6123256f56ff43fa3c7647bc

See more details on using hashes here.

File details

Details for the file pyevermizer-0.48.0-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for pyevermizer-0.48.0-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 e442212695bdf60e455673b7b9dd83a5d4b830d714376477093d2c9054d92832
MD5 83d888d4732b504ddf03f9edf01c8c51
BLAKE2b-256 3d118f86143dd61962ba812f1b2eb589ce69ec196d50527f9de02b8eb837f285

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page