fast base16384 encode and decode
Project description
✨ pybase16384 ✨
The python binding for base16384
一种神奇的编码
使用
- 编码/解码文本
>>> import pybase16384 as pybs
>>> pybs.encode_string('hello!!')
'栙擆羼漡'
>>> pybs.decode_string('栙擆羼漡')
'hello!!'
- 编码文件
from io import BytesIO
import pybase16384 as pybs
with open("input.pcm", "rb") as f:
data = f.read()
for i in range(1):
pybs.encode_file(BytesIO(data), open("output2.pcm", 'wb'), True)
- 解码文件
from io import BytesIO
import pybase16384 as pybs
with open("output2.pcm", "rb") as f:
data = f.read()
for i in range(1):
pybs.decode_file(BytesIO(data), open("input2.pcm", 'wb'))
公开函数
from typing import IO
def encode_len(dlen: int) -> int: ...
def decode_len(dlen: int, offset: int) -> int: ...
ENCBUFSZ: int
DECBUFSZ: int
FLAG_NOHEADER: int
FLAG_SUM_CHECK_ON_REMAIN: int
FLAG_DO_SUM_CHECK_FORCELY: int
def is_64bits() -> bool: ...
def encode_file(input: IO, output: IO, write_head: bool = ..., buf_rate: int = ...): ...
def encode_file_safe(input: IO, output: IO, write_head: bool = ..., buf_rate: int = ...): ...
def decode_file(input: IO, output: IO, buf_rate: int = ...): ...
def decode_file_safe(input: IO, output: IO, buf_rate: int = ...): ...
def ensure_bytes(inp) -> bytes: ...
def encode_local_file(inp, out) -> None: ...
def decode_local_file(inp, out) -> None: ...
def encode_fd(inp: int, out: int) -> None: ...
def decode_fd(inp: int, out: int) -> None: ...
def encode_local_file_detailed(inp, out, flag: int) -> None: ...
def decode_local_file_detailed(inp, out, flag: int) -> None: ...
def encode_fd_detailed(inp: int, out: int, flag: int) -> None: ...
def decode_fd_detailed(inp: int, out: int, flag: int) -> None: ...
def encode(data: bytes) -> bytes: ...
def encode_safe(data: bytes) -> bytes: ...
def decode(data: bytes) -> bytes: ...
def decode_safe(data: bytes) -> bytes: ...
def encode_from_string(data: str, write_head: bool = ...) -> bytes: ...
def encode_from_string_safe(data: str, write_head: bool = ...) -> bytes: ...
def encode_to_string(data: bytes) -> str: ...
def encode_to_string_safe(data: bytes) -> str: ...
def encode_string(data: str) -> str: ...
def encode_string_safe(data: str) -> str: ...
def decode_from_bytes(data: bytes) -> str: ...
def decode_from_bytes_safe(data: bytes) -> str: ...
def decode_from_string(data: str) -> bytes: ...
def decode_from_string_safe(data: str) -> bytes: ...
def decode_string(data: str) -> str: ...
def decode_string_safe(data: str) -> str: ...
-
write_head将显式指明编码出的文本格式(utf16be),以便文本编辑器(如记事本)能够正确渲染,一般在写入文件时使用。
-
buf_rate指定读取文件的策略。当它为n时,则表示一次读取7n或者8n个字节。如果读到的字节长度小于预期,则说明长度不够, 此时,n将减半,恢复文件指针,重新读取。如果当n=1时长度仍然不够,就地encode/decode处理之。
-
encode_len
和decode_len
用于计算输出的长度
内部函数
- 他们直接来自底层的C库,高性能,但是一般不需要在外部使用(除非是增加性能)
def _encode(data: BufferProtocol) -> bytes: ...
def _encode_safe(data: BufferProtocol) -> bytes: ...
def _decode(data: BufferProtocol) -> bytes: ...
def _decode_safe(data: BufferProtocol) -> bytes: ...
def _encode_into(data: BufferProtocol, dest: BufferProtocol) -> int: ...
def _encode_into_safe(data: BufferProtocol, dest: BufferProtocol) -> int: ...
def _decode_into(data: BufferProtocol, dest: BufferProtocol) -> int: ...
def _decode_into_safe(data: BufferProtocol, dest: BufferProtocol) -> int: ...
def is_64bits() -> bool: ...
_decode
在解码b'='
开头的数据时不安全:解释器异常_encode_into
和_decode_into
直接操作缓冲区对象的底层指针,0拷贝,当然也和上面一样的问题,他们是没有检查的
✨ v0.3更新 ✨
融合了 CFFI 版本的成果,现在一个包可以同时在cpython和pypy上运行
本机编译
python -m pip install setuptools wheel cython cffi
git clone https://github.com/synodriver/pybase16384
cd pybase16384
git submodule update --init --recursive
python setup.py bdist_wheel --use-cython --use-cffi
- 为了在windows上编译,需要加点料,把 这个 放进msvc的目录
后端选择
默认由py实现决定,在cpython上自动选择cython后端,在pypy上自动选择cffi后端,使用B14_USE_CFFI
环境变量可以强制选择cffi
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file pybase16384-0.3.7-pp310-pypy310_pp73-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp310-pypy310_pp73-win_amd64.whl
- Upload date:
- Size: 301.6 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6b72f167956fe203ba45c9da1edd1306342c62eaef8e00fefe7f80cd40b87b3a |
|
MD5 | 894ec2fbb8a79447d95444942da2e314 |
|
BLAKE2b-256 | 75fde45490dd5118b2a11933f00373696eca509c37b4004e90c726ad7806c32d |
File details
Details for the file pybase16384-0.3.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 336.4 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de4b513782e3369a486c53a0facbb97e945964ec5f034e222600aab03761ecb9 |
|
MD5 | 14ad515a092c98ad02737b5ec0a16f02 |
|
BLAKE2b-256 | cee85c92eb72051fdafe6d829b4ea7240e0669697dcf03227c0b3e658d07bf11 |
File details
Details for the file pybase16384-0.3.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 331.8 kB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97ccf10e2d0af50584c36338422398afc483714fccc7f961b2862677f9d7df05 |
|
MD5 | 7486b61e9a2e5e370df8ab6940a47643 |
|
BLAKE2b-256 | 42f512d4c3486e694932eb29cdcf75ac7646e1f46d2bb8a7b9d47705e7721eec |
File details
Details for the file pybase16384-0.3.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp310-pypy310_pp73-macosx_11_0_arm64.whl
- Upload date:
- Size: 298.2 kB
- Tags: PyPy, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cfa3f4ed8d1ee90bf548661b7db245b00e6243b7642c999bfb566aa6cf53ee6e |
|
MD5 | f141eadd304018b6e5a9aff19633a3ba |
|
BLAKE2b-256 | 4e89ddd4fb0cc15e460bc6aa75357d75dc4035f4908b76965e479fc0c88a416a |
File details
Details for the file pybase16384-0.3.7-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
- Upload date:
- Size: 304.2 kB
- Tags: PyPy, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4b53f133fbbc2924de5307efef5dfcc3916a65df95123ff2c764a1756bfd921a |
|
MD5 | ca48931bc1943815676ee3c58a0282b4 |
|
BLAKE2b-256 | c05a75a907130a826d7efe2a99996bd14b3bcf2fb98eb598faffe072cf87c6ac |
File details
Details for the file pybase16384-0.3.7-pp39-pypy39_pp73-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp39-pypy39_pp73-win_amd64.whl
- Upload date:
- Size: 301.4 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bc8848186241fc83065b963caaa082febe95cd6f27ad7890dd0f3c005a2d2cab |
|
MD5 | a9afcb45d3cfb0adb8957222ea67c24a |
|
BLAKE2b-256 | 176fba65ce803626ca57dbf86484e1ef070d0496c3b595b76b291823e58a9deb |
File details
Details for the file pybase16384-0.3.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 336.3 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b373c09da0d076a5c9924befcffdfc3e8c335a669645d5ae89f670b8dfef28c5 |
|
MD5 | a137c892718ea629355ecc307f37acf6 |
|
BLAKE2b-256 | 6da5799131159990a936c59d9c17e13e67134541d056e2aefc4a5bae0e9021e6 |
File details
Details for the file pybase16384-0.3.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 331.9 kB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fba44c81c8f2827b65b74de82af80e6dc8438e224f3bc59a8723b4e9d92ed4c6 |
|
MD5 | 552aeaa5cc094e7b46a00beafbfb4700 |
|
BLAKE2b-256 | 325089d34e3e347f27231489d938080eaddfb1ecf1adcad04a4cbe37429d563d |
File details
Details for the file pybase16384-0.3.7-pp39-pypy39_pp73-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp39-pypy39_pp73-macosx_11_0_arm64.whl
- Upload date:
- Size: 298.1 kB
- Tags: PyPy, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5538d3e8592fbcdc516dd8e158ab9264f27e712e11d63e2a8a78ae90460109bd |
|
MD5 | 0551bbb807a6e145270cef5892b4575e |
|
BLAKE2b-256 | c3c1dc1e4d06765ba21820608630af399d5d80adc26109b624a5f98938b8afcc |
File details
Details for the file pybase16384-0.3.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
- Upload date:
- Size: 304.0 kB
- Tags: PyPy, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 42edfae3584c6b278539e132806613a0c9263b6d654884e3d915b1b9d28e0a2a |
|
MD5 | 4f20bb2d835cc96bcdd47735b3f34cb8 |
|
BLAKE2b-256 | ad5fa4f128e67a45d2b7818d6bb95874170e1fd42229bcd10b9138a9a41621a0 |
File details
Details for the file pybase16384-0.3.7-pp38-pypy38_pp73-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp38-pypy38_pp73-win_amd64.whl
- Upload date:
- Size: 301.3 kB
- Tags: PyPy, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 82e923485031db97f631e1fa7e93056b327bc0fed563540abf70e34973c783bb |
|
MD5 | 8d1692b048d5d6d63cb145b219ab80a4 |
|
BLAKE2b-256 | 609194321549f768afa3ccbfe210760368d588a9f66b174799471eb1d13fe0f4 |
File details
Details for the file pybase16384-0.3.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 336.7 kB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 030287865faa81d9292cc29115ac0f96526eaa819c405a8f3fe13fac5e734c7c |
|
MD5 | 7006c0dfe11a8df27179754e8161285a |
|
BLAKE2b-256 | 2ba67af92b351ad32ba21c36fb397a1966409d0da1f025f65c6adda371ad85d8 |
File details
Details for the file pybase16384-0.3.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 331.6 kB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8d16d7473f67066303b33687815955d949d7063bbd472cb6f389bc96705e4ce7 |
|
MD5 | c90101ad2df28e75a5912a0dd47a9562 |
|
BLAKE2b-256 | 321164609f06acb76de11222a2679aede9a208ea625176896ab71287bff726d9 |
File details
Details for the file pybase16384-0.3.7-pp38-pypy38_pp73-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp38-pypy38_pp73-macosx_11_0_arm64.whl
- Upload date:
- Size: 298.4 kB
- Tags: PyPy, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3cfb61bcdaead492f650c2402d0f869fff7c27124fce06c2349b58b56f04388a |
|
MD5 | 770655e0d550db937818264d681f5c0c |
|
BLAKE2b-256 | 7efaa9ef82b2659e4a57c5736458015c005da2f54d215d80d5d7a8796b8e1a7b |
File details
Details for the file pybase16384-0.3.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
- Upload date:
- Size: 304.2 kB
- Tags: PyPy, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c352194475491848c4aa79b7aa00d5a3f1bea430c4942c0fd90a4da4738db64 |
|
MD5 | fe95998c1ac56f27b20d867387504fc2 |
|
BLAKE2b-256 | 92780f6cd6f0da55de504192396ecab1fd2a3fad50f13391ede3d20b232278ba |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 313.7 kB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3a2bbdfc48515cdb45c4720ffcb63d9e85ae2c80831601b4945601c007739217 |
|
MD5 | 09f5bc96314e79fdd4090b9c22288f87 |
|
BLAKE2b-256 | 7d4dda51bfe2b30bd5220c5d2909564abf4f374879851f31d715c6cf408e17f1 |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-win32.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-win32.whl
- Upload date:
- Size: 301.8 kB
- Tags: CPython 3.12, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fa8e76a7f3b6a4e7e640c2d554b5c8cb9255aec5c8914e3716794548bfc6fcd7 |
|
MD5 | 4360ab87548864e6c912185bd0357599 |
|
BLAKE2b-256 | 012b51a0830acbd18d38d08bc36d4079b2397130a2766cc8ffb5d8bf0ce0c977 |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 352.7 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f2bf6782714c702044e245090871b760690e19f0d261f2a10b63834e67108f21 |
|
MD5 | 75e66376cbd059b67ccc6f2569e8c0d9 |
|
BLAKE2b-256 | 9547a4e38a3675a37ea57ce910b6321f3975528b794034b88b9632e65fd1fb02 |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-musllinux_1_1_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-musllinux_1_1_aarch64.whl
- Upload date:
- Size: 344.4 kB
- Tags: CPython 3.12, musllinux: musl 1.1+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e98eea0d5418bf1825476b1feacc3fa15206f7dc70c26b5ca1c008a8c257b5ae |
|
MD5 | ede207590f99704370b9c55fca64e606 |
|
BLAKE2b-256 | bb311c59bcd4190f19d519502c4dd4d1bde525cbea98376f5883765aa6ae6028 |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 347.9 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 96d9dea1dabb22d591713b66d3e9d68f2515241aa088e77b0af1f84673a4e645 |
|
MD5 | 36723f4d03dc994ab0763715d33811cc |
|
BLAKE2b-256 | 5f9e3aeeb4ce3d5ae0ee78fb293c9624b5d3ee03839ddff57de755364724c40d |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 340.5 kB
- Tags: CPython 3.12, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bebd0f4a2a244650702a7a9a14f4160f8ad4f344516bfbea0e66549be871e92d |
|
MD5 | 1577efad620efa1afb95672d8ba28fff |
|
BLAKE2b-256 | c226377496b5468b17c7f78db280af0fa4f443ffdf124af283dc8e7033b2fbb1 |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-macosx_11_0_arm64.whl
- Upload date:
- Size: 311.9 kB
- Tags: CPython 3.12, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e875476866965ffe8c5251b4fca30bc0b4875fb541f1456c60661ff55dbc0fd7 |
|
MD5 | 0a6d6da945c3beefc0cd05ec26788b9f |
|
BLAKE2b-256 | 62846c3bac11d92d44a1b8ee21b3f859eb64a4b7a3e3fb375a54e8fc13a92872 |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-macosx_10_9_x86_64.whl
- Upload date:
- Size: 322.4 kB
- Tags: CPython 3.12, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6427a9bf3330d1ac5ec5d29d4941d6f62d6f75b37b7649a69b2123933c4c2019 |
|
MD5 | ccbdbf0e1ecc5c3fc131c5884e0b75f6 |
|
BLAKE2b-256 | c796b03cce65534b42fd4b544b4469ff04621e907ce4b4a35818eb16de44847d |
File details
Details for the file pybase16384-0.3.7-cp312-cp312-macosx_10_9_universal2.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp312-cp312-macosx_10_9_universal2.whl
- Upload date:
- Size: 432.6 kB
- Tags: CPython 3.12, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ed565e3d3a8456a113a7dee9d0d0b9a1676fa0bcc6bf4f62ab29218d862c9731 |
|
MD5 | b455de85c883a47022411610098eb455 |
|
BLAKE2b-256 | a18f9078dc67fcea788a94b993e57979b41a0977b32d079d1e8f6fc40c95a5d4 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 311.8 kB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d059bb5b673ed08e249957b0dcbf263ae7fc6af2ecd415bc0207762d67794c9c |
|
MD5 | 0f0f951567c9ddd380c230ecf62ccc9c |
|
BLAKE2b-256 | 0dca937f5e34af0f3007059b77da0242aae9e40507fbe2291c76e7e77c1ea6fb |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-win32.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-win32.whl
- Upload date:
- Size: 301.3 kB
- Tags: CPython 3.11, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cbc561d144ff1917aee603d65a89e77b5ee0b15aa426a60d45765f22e7ae28c1 |
|
MD5 | 045a6ae309011db1ff8b2f34c284bc18 |
|
BLAKE2b-256 | 6e75549119206a3f013ffbe427b20cc32ec45b62dec2d8304afdab7a3bcbffe3 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 355.5 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e88aae8b650137ca8caced7ab7f4dc817da6a417a626ff2370b0123a0cc90629 |
|
MD5 | 2a0306f157ef19da9eee94532051b777 |
|
BLAKE2b-256 | 70ac976aca1fb492d7bce633123580eb286892824a3ef5ed62fa361175975ce5 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-musllinux_1_1_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-musllinux_1_1_aarch64.whl
- Upload date:
- Size: 347.7 kB
- Tags: CPython 3.11, musllinux: musl 1.1+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 745904e360e120fd188afd719f60c3d9c7d9c5cc468f44f18de7a54c9a3468e1 |
|
MD5 | 7a241125a3da74cf279f9188b800d8f3 |
|
BLAKE2b-256 | 1d2286f3c8364e0044930026bf296cb12254374066724596facc33c20f79cc02 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 352.5 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c5cab295f49b54309d04b7327f8f3b3b76806ebe03071f64701d1bad11092305 |
|
MD5 | 79567642237ec9c0da1523ac7b736b32 |
|
BLAKE2b-256 | 186085fb4752558d320f3dd1f4ac40c7904c86ca94f643b9cc3a9fcb2a986305 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 343.4 kB
- Tags: CPython 3.11, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d806ac4b6853448322649bbe9675e77db343c4a78b82255a4e06527ff2f038d |
|
MD5 | d27e0446c73c0d7f9e5897abddb43767 |
|
BLAKE2b-256 | 6ad98f262333f9b290172fdf43c308dac3ee9bd2df143d601bc7b54ca0cac456 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-macosx_11_0_arm64.whl
- Upload date:
- Size: 310.4 kB
- Tags: CPython 3.11, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5d5bb2f4cdbaaedb8abf2389e932c583aa7817bd2adecd3e1c1a8e2d3b78421a |
|
MD5 | 01716f2331a5227eabaf5a79d6027c7d |
|
BLAKE2b-256 | cb35e927378dd0727949adbc75af0f91201e023b7717373bb2234d6237c9f511 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-macosx_10_9_x86_64.whl
- Upload date:
- Size: 319.9 kB
- Tags: CPython 3.11, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d4ab031dc9123678642f758413d36a2de87fe0e3710fddff8fc98b8f0c7d7509 |
|
MD5 | c6422e0a7f07fc51e250b532cc033194 |
|
BLAKE2b-256 | 4964f188f4cdc8ba108f159c0ceedee4bd0bd67b9e314d7000d25125837bdb35 |
File details
Details for the file pybase16384-0.3.7-cp311-cp311-macosx_10_9_universal2.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp311-cp311-macosx_10_9_universal2.whl
- Upload date:
- Size: 428.5 kB
- Tags: CPython 3.11, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 184ddb3dae1951b0ebc4dc5296ce3e4953c34658a9eadfbcd14c9411a53d58c0 |
|
MD5 | bd3662af82139bab8f016e8562809594 |
|
BLAKE2b-256 | 1d3f165f68fe79e1bf1d578713a9218a00cee6fdd5ee37f23812d61207c08ebe |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 311.3 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b1f5758f73b828524e4d5d235d59e6d22ccc7a2596d285492f0087e724c61385 |
|
MD5 | 8cc9825d964faf76ae17dbba27306353 |
|
BLAKE2b-256 | b1275eb1ed6f7ccc90381ac952396a054bea1b46561bd145d8b8954e4bca8f78 |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-win32.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-win32.whl
- Upload date:
- Size: 300.8 kB
- Tags: CPython 3.10, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0ccd0128687c08ce8b0123596e5de818c20d3e29ec9a88f7b68abb1504cfd4fc |
|
MD5 | f60d22ce803d6cbb841c43259d57d9f9 |
|
BLAKE2b-256 | ebfd483c0eee17ec390299adb82ebe566a9a561c74b80bc2bf9c9140eb0b5a0a |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 355.0 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a5898a4f0060d7ab2d41eb0e6e4c9d79df6cc80365e3904f90122d9ab2913311 |
|
MD5 | cf49a939f2ffbca5adb457722eef88d6 |
|
BLAKE2b-256 | 3373b9e8ab4bfb72e8ed18fd8cbe9769589929b01c8634f4b4d3a994204e2783 |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-musllinux_1_1_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-musllinux_1_1_aarch64.whl
- Upload date:
- Size: 348.7 kB
- Tags: CPython 3.10, musllinux: musl 1.1+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9b9c42e83a7dce7a935039387ef497b0c662b1f014c063c63c4962233559c26f |
|
MD5 | 76987da93e4b26d38a6399828ad71baa |
|
BLAKE2b-256 | 59cc01a9081389a3ff6b1015cc156b7d6f1a4c1a5c3eb82eef20fc61d791fc2b |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 352.5 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d5fe756fcffc108c2ae9f649abfa7f95ee3e3ff0c2bd5b198d864e4f54246183 |
|
MD5 | dc1cc62053751b55665e18cadd51316d |
|
BLAKE2b-256 | e316061d46e7da9b222ba370fc87497d6f212dc39124fb4c4461788ff70e250e |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 343.1 kB
- Tags: CPython 3.10, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6b072cc87b0b030a0705f52a7a1bb57bf22fdb2d78d9c2855680a6c1d28b8b5d |
|
MD5 | cb74e878060088532096c2b03238f843 |
|
BLAKE2b-256 | 8a65be0c62500a40dee3dbce8dd12e418df822fb0831642f78f47d5dd2107434 |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-macosx_11_0_arm64.whl
- Upload date:
- Size: 310.2 kB
- Tags: CPython 3.10, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c52097581878f97afb59aa7a15099b97c0cf1c01d169f94574798d10f0050165 |
|
MD5 | 917b173a94b044add4949c141b836492 |
|
BLAKE2b-256 | 1b2b47305a02feb621dc23db36a1b93ce200e26156f1cbede8cdc98351afdb91 |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-macosx_10_9_x86_64.whl
- Upload date:
- Size: 319.2 kB
- Tags: CPython 3.10, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4cf98208b389f785f281b9fa88bc460ab81654af5db178f2fb47245bf0233863 |
|
MD5 | b33bb2d0de94011512e0c7dc73959658 |
|
BLAKE2b-256 | 0cbf5934a5ec354c46f71f5de0bb078b17b9f8ce4e14ec2c182f5443ffd59126 |
File details
Details for the file pybase16384-0.3.7-cp310-cp310-macosx_10_9_universal2.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp310-cp310-macosx_10_9_universal2.whl
- Upload date:
- Size: 427.6 kB
- Tags: CPython 3.10, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 93522f6baced9423398820ccb658d09c237c8422a1add4a8acde46668f6e8386 |
|
MD5 | 96e036610270d9bfc894d8028f26d401 |
|
BLAKE2b-256 | 23cb28980341b0f0f4077d6295e130c3dcaba42efc685d0eca125ed264bf7d6a |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 311.9 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3b06c875dce3b618f19d7c621fc64e7ab1d761ae1b83104b8ea601b3942a530e |
|
MD5 | b3449bb7345d736dc4737c605ae044a3 |
|
BLAKE2b-256 | 35f23b433baa689949b1531bdd2fc80731f49c9afb81240f3b4957f87248cd56 |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-win32.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-win32.whl
- Upload date:
- Size: 301.3 kB
- Tags: CPython 3.9, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aed40413d74138017fc739d1bd4971c744f459bab7dcd751c409755d87a57ea0 |
|
MD5 | e91a61b72867e55d210b3fb255e1d9af |
|
BLAKE2b-256 | 37956b720df9fb0f2bc2fba7e29d8e80a81d0fe1c4f76852df74c59109e26118 |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 357.6 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81a2cdd074a26c2b1c03f86404a34f214057f0bee25c297752886d84dca7f49e |
|
MD5 | 6760439ff922298d1031e1c38f626b0b |
|
BLAKE2b-256 | 81ece684f203da68fe33c0b0deea41fdf8d5480961534af2807b16653a19c93c |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-musllinux_1_1_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-musllinux_1_1_aarch64.whl
- Upload date:
- Size: 348.4 kB
- Tags: CPython 3.9, musllinux: musl 1.1+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9cff0c0db0755cf5f61f71f7008f97b490f9d99a488ad5c936a2edd0428d2dd0 |
|
MD5 | fce9f75952c75c8efe1099877b0239b5 |
|
BLAKE2b-256 | 6ac46661db92218966c4c6aad728ca6be47f9540ed3a73e2b384ce2ff91a2ce7 |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 352.2 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | df17de009ff04f0325d7cb3bde32075d29058bebd2a6891afc7cef00dfb4be92 |
|
MD5 | 4ff751db12e32b8601c0a174b2424931 |
|
BLAKE2b-256 | 6453259aface21bb7d82daded70ed646283a0a4186acc897564d29acdd38b11c |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 344.4 kB
- Tags: CPython 3.9, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5d55af3deeabee17fdf6bcb42303c9c6a55a180a08dc0a8d70791bca734d91ae |
|
MD5 | a60eafd9d764f9d9342ced384a83a22e |
|
BLAKE2b-256 | 95ce0a2c9da445da62057c809b0ab08b862cda8b6623e1fde218e9d4c30432a3 |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-macosx_11_0_arm64.whl
- Upload date:
- Size: 310.7 kB
- Tags: CPython 3.9, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 70d905f72565b9cb71cb59ff1de4b7a574faa79f638e9add19eb1713fa03dac3 |
|
MD5 | 1d474125b84f37ac9dd2a5341bd0507e |
|
BLAKE2b-256 | 1dd3284a133684353204f0de89237beee06b70c809b60c74e1361178e3f9bd14 |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-macosx_10_9_x86_64.whl
- Upload date:
- Size: 319.7 kB
- Tags: CPython 3.9, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ad84c4547434da503008a0407f8c1311916ad74f45eaeb4d509c99512073295 |
|
MD5 | c52dcec9246e350922132f1fc923e758 |
|
BLAKE2b-256 | 37c3773a657001b723f9ab3014cb6ea8f257fc8a3a51efc024569478a924f0ca |
File details
Details for the file pybase16384-0.3.7-cp39-cp39-macosx_10_9_universal2.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp39-cp39-macosx_10_9_universal2.whl
- Upload date:
- Size: 428.7 kB
- Tags: CPython 3.9, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11c7bf75b618f5296600aa1529c0bff16c9b73df6109bc65ca8b534a8bdafca5 |
|
MD5 | 2b61311247efc935818b8551b047df30 |
|
BLAKE2b-256 | 7f75fd8faf3548e85f6150a97299fe851913b6f9acdb8c3fa2dcaa2e18b86660 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-win_amd64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 312.0 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 23d4c09ffbcfaab180add97cf6b6949c43fac3bb0039f22676072875d74efe8d |
|
MD5 | 7959f2fd9bfa42af2f0666de7cfb6f8c |
|
BLAKE2b-256 | ae3a9a83d5df5d494fc7f3df8c30a183f785a8c85a4c07c6a87f4285cd7714af |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-win32.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-win32.whl
- Upload date:
- Size: 301.5 kB
- Tags: CPython 3.8, Windows x86
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 99151f31d03e4c525c3f5b254c068a4c47af48ea44eff7688d706189d4d7d5f3 |
|
MD5 | 7cafd253fd6b4884722b199a23826b31 |
|
BLAKE2b-256 | 09256fb32a28ed56e61eb0dcd2e7981ca039ab5f369c50e3ddb92f3be65c1cb1 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-musllinux_1_1_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-musllinux_1_1_x86_64.whl
- Upload date:
- Size: 355.9 kB
- Tags: CPython 3.8, musllinux: musl 1.1+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cbeb3ae507c1e799b0b274fef4f6f205f3486ac633fa0eeba5d9a8318b5c35d7 |
|
MD5 | 538c200df55e38f255221272f22dfddf |
|
BLAKE2b-256 | 0a54a6ecda47d6f9c42a54f05a30028dc38a290d30aa80850978328eba8f7ee6 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-musllinux_1_1_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-musllinux_1_1_aarch64.whl
- Upload date:
- Size: 348.3 kB
- Tags: CPython 3.8, musllinux: musl 1.1+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ce0b4c7867f82e621d2b21c6dd86270df134e0ebc77472cbe456e8156eb5cbe5 |
|
MD5 | 6807a187a2a7eab3bb3137e199983ad7 |
|
BLAKE2b-256 | 7af948ab05163b86d3e06d0b74e7fe5d593c796610710714e4d2816b510fcf52 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 352.8 kB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 711f6a64e815a67bfcd7b104e0dd95181769d014d0e639852ac4b3a128258fa1 |
|
MD5 | b37d67ad34c90818f671bc6ccde40975 |
|
BLAKE2b-256 | d8bbb4c0fec0c1606115242a53c9e269f1cb664653cb925f4d7b68aa4b8518e8 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 344.5 kB
- Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7611a1b93e019357687a5ad25e10385d2ec00bd16847382381399a044d402f9b |
|
MD5 | a59ea8b4e5f50e3d23fa2b3297455534 |
|
BLAKE2b-256 | 9c6d86f6478137b8c095feeab3fd6a217d792c3fbf8e7acb5afa58ebbb3670bb |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-macosx_11_0_arm64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-macosx_11_0_arm64.whl
- Upload date:
- Size: 310.5 kB
- Tags: CPython 3.8, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | bfe6ba182363f48b6972721de4e551f8a8a3f0db0ba748df9c8bfd497ba63643 |
|
MD5 | 0aad428bfdb7a80530994a71622beb9b |
|
BLAKE2b-256 | cf9da6a4d767f02f8c6c2bccdad45dbb062ae5f4c3b943ae9e5d55de72f00ca7 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-macosx_10_9_x86_64.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-macosx_10_9_x86_64.whl
- Upload date:
- Size: 319.5 kB
- Tags: CPython 3.8, macOS 10.9+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d6481b81cbc753eaeffdd6e7387385f8a8bc691152f90c03d5f6936513c508f9 |
|
MD5 | 1c2900fab310e938dc3288ee3f9678bf |
|
BLAKE2b-256 | d928310e1c9adc5b4cd730de9e332e500821658d8b2aa41b0d71deaceefb4586 |
File details
Details for the file pybase16384-0.3.7-cp38-cp38-macosx_10_9_universal2.whl
.
File metadata
- Download URL: pybase16384-0.3.7-cp38-cp38-macosx_10_9_universal2.whl
- Upload date:
- Size: 428.2 kB
- Tags: CPython 3.8, macOS 10.9+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.11
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f141939d681e46268cefb516cb95f2717258db1ba30d01d315b0126d33cad1d |
|
MD5 | 3d61acfa60ab1ea45aa040792a4f8c91 |
|
BLAKE2b-256 | e033782525384e41e57d4bdfcf51e1afda46403cfd60356aefde11282fe7e77f |