Skip to main content

A high performance caching library for Python written in Rust

Project description

moka-py

moka-py is a Python binding to the Moka cache written in Rust. It brings Moka’s high-performance, feature‑rich caching to Python.

Features

  • Synchronous cache: Thread-safe in-memory caching for Python.
  • TTL: Evicts entries after a configurable time to live (TTL).
  • TTI: Evicts entries after a configurable time to idle (TTI).
  • Per-entry TTL / TTI: Override the cache-wide TTL or TTI on individual entries.
  • Size-based eviction: Removes items when capacity is exceeded using TinyLFU or LRU.
  • Concurrency: Optimized for high-throughput, concurrent access.
  • Fully typed: mypy and pyright friendly.

Installation

Install with uv:

uv add moka-py

Or with poetry:

poetry add moka-py

Or with pip:

pip install moka-py

Table of Contents

Usage

Using moka_py.Moka

from time import sleep
from moka_py import Moka


# Create a cache with a capacity of 100 entries, with a TTL of 10.0 seconds
# and a TTI of 0.1 seconds. Entries are always removed after 10 seconds
# and are removed after 0.1 seconds if there are no `get`s happened for this time.
#
# Both TTL and TTI settings are optional. In the absence of an entry,
# the corresponding policy will not expire it.

# The default eviction policy is "tiny_lfu" which is optimal for most workloads,
# but you can choose "lru" as well.
cache: Moka[str, list[int]] = Moka(capacity=100, ttl=10.0, tti=0.1, policy="lru")

# Insert a value.
cache.set("key", [3, 2, 1])

# Retrieve the value.
assert cache.get("key") == [3, 2, 1]

# Wait for 0.1+ seconds, and the entry will be automatically evicted.
sleep(0.12)
assert cache.get("key") is None

Per-entry TTL / TTI

By default, TTL and TTI are set once for the entire cache. You can also set them per entry by passing ttl and/or tti to set() or get_with():

from time import sleep
from moka_py import Moka


cache = Moka(100)

cache.set("short-lived", "value", ttl=0.5)
cache.set("session", {"user": "alice"}, ttl=3600.0)
cache.set("idle-sensitive", "value", tti=1.0)
cache.set("both", "value", ttl=60.0, tti=5.0)

# Entries without per-entry ttl/tti never expire (unless the cache has global settings).
cache.set("permanent", "value")

sleep(0.6)
assert cache.get("short-lived") is None  # expired after 0.5s
assert cache.get("session") is not None  # still alive
assert cache.get("permanent") is not None

get_with() accepts the same parameters:

from moka_py import Moka


cache = Moka(100)

value = cache.get_with("key", lambda: "computed", ttl=30.0)

Concurrent get_with with different TTL / TTI

get_with() guarantees that only one thread executes the initializer for a given key (stampede protection). When multiple threads call get_with() for the same key concurrently with different ttl/tti values, the thread that wins the race runs its initializer — and its ttl/tti values are stored with the entry. All other threads receive the same cached value and their ttl/tti parameters are silently ignored.

import threading
from moka_py import Moka


cache = Moka(100)

# Thread A: get_with("k", compute, ttl=1.0)
# Thread B: get_with("k", compute, ttl=60.0)
#
# If thread A wins, the entry expires in 1 second.
# If thread B wins, the entry expires in 60 seconds.
# The loser's ttl is discarded — it is NOT merged or compared.

Interaction with cache-wide TTL / TTI

When the cache is constructed with global ttl or tti and an entry specifies its own, the entry expires at whichever deadline comes first.

WARNING

Per-entry TTL / TTI can only make an entry expire sooner than the cache-wide policy, not later. This is a technical limitation of the underlying Moka library: global and per-entry expiration are evaluated independently, and the earliest deadline wins.

If you need entries with different lifetimes that can exceed a common default, do not set global ttl/tti on the cache. Use per-entry values exclusively instead.

from moka_py import Moka

# Do this:
cache = Moka(1000)
cache.set("short", "v", ttl=60.0)
cache.set("long", "v", ttl=300.0)  # works as expected

# NOT this — "long" will still expire in 60 s:
cache = Moka(1000, ttl=60.0)
cache.set("long", "v", ttl=300.0)  # capped at 60 s by the global policy
from time import sleep
from moka_py import Moka


# Global TTL of 10 seconds.
cache = Moka(100, ttl=10.0)

# This entry will expire in 0.5 s (per-entry TTL wins, it is shorter).
cache.set("fast", "value", ttl=0.5)

# This entry keeps the global 10 s TTL (per-entry TTL=20 s is longer, so global wins).
cache.set("slow", "value", ttl=20.0)

sleep(0.6)
assert cache.get("fast") is None
assert cache.get("slow") is not None

As a decorator

moka-py can be used as a drop-in replacement for @lru_cache() with TTL + TTI support:

from time import sleep
from moka_py import cached


calls = []


@cached(maxsize=1024, ttl=5.0, tti=0.05)
def f(x, y):
    calls.append((x, y))
    return x + y


assert f(1, 2) == 3  # calls computations
assert f(1, 2) == 3  # gets from the cache
assert len(calls) == 1
sleep(0.06)
assert f(1, 2) == 3  # calls computations again (since TTI has passed)
assert len(calls) == 2

Async support

Unlike @lru_cache(), @moka_py.cached() supports async functions:

import asyncio
from time import perf_counter
from moka_py import cached


calls = []


@cached(maxsize=1024, ttl=5.0, tti=0.1)
async def f(x, y):
    calls.append((x, y))
    await asyncio.sleep(0.05)
    return x + y


start = perf_counter()
assert asyncio.run(f(5, 6)) == 11
assert asyncio.run(f(5, 6)) == 11  # from cache
elapsed = perf_counter() - start
assert elapsed < 0.2
assert len(calls) == 1

Coalesce concurrent calls (wait_concurrent)

moka-py can synchronize threads on keys

import moka_py
from typing import Any
from time import sleep
import threading
from decimal import Decimal


calls = []


@moka_py.cached(ttl=5, wait_concurrent=True)
def get_user(id_: int) -> dict[str, Any]:
    calls.append(id_)
    sleep(0.02)  # simulate an HTTP request (short for tests)
    return {
        "id": id_,
        "first_name": "Jack",
        "last_name": "Pot",
    }


def process_request(path: str, user_id: int) -> None:
    user = get_user(user_id)
    ...


def charge_money(from_user_id: int, amount: Decimal) -> None:
    user = get_user(from_user_id)
    ...


if __name__ == '__main__':
    request_processing = threading.Thread(target=process_request, args=("/user/info/123", 123))
    money_charging = threading.Thread(target=charge_money, args=(123, Decimal("3.14")))
    request_processing.start()
    money_charging.start()
    request_processing.join()
    money_charging.join()

    # Only one call occurred. Without `wait_concurrent`, each thread would issue its own HTTP request
    # before the cache entry is set.
    assert len(calls) == 1

Async wait_concurrent

When using wait_concurrent=True with async functions, moka-py creates a shared asyncio.Task per cache key. All concurrent callers await the same task and receive the same result or exception. This eliminates duplicate in-flight work for identical arguments.

Eviction listener

moka-py supports an eviction listener, called whenever a key is removed. The listener must be a three-argument function (key, value, cause) and uses positional arguments only.

Possible reasons:

  1. "expired": The entry's expiration timestamp has passed.
  2. "explicit": The entry was manually removed by the user (.remove() is called).
  3. "replaced": The entry itself was not actually removed, but its value was replaced by the user (.set() is called for an existing entry).
  4. "size": The entry was evicted due to size constraints.
from typing import Literal
from moka_py import Moka
from time import sleep


def key_evicted(
    k: str,
    v: list[int],
    cause: Literal["explicit", "size", "expired", "replaced"]
):
    events.append((k, v, cause))


events: list[tuple[str, list[int], str]] = []


moka: Moka[str, list[int]] = Moka(2, eviction_listener=key_evicted, ttl=0.5)
moka.set("hello", [1, 2, 3])
moka.set("hello", [3, 2, 1])  # replaced
moka.set("foo", [4])  # expired
moka.set("baz", "size")
moka.remove("foo")  # explicit
sleep(1.0)
moka.get("anything")  # this will trigger eviction for expired

causes = {c for _, _, c in events}
assert causes == {"size", "expired", "replaced", "explicit"}, events

IMPORTANT NOTES

  1. The listener is not called just-in-time. moka has no background threads or tasks; it runs only during cache operations.
  2. The listener must not raise exceptions. If it does, the exception may surface from any moka-py method on any thread.
  3. Keep the listener fast. Heavy work (especially I/O) will slow .get(), .set(), etc. Offload via ThreadPoolExecutor.submit() or asyncio.create_task()
  4. Per-entry TTL / TTI and the eviction listener. Per-entry expiry fires the listener with "expired" just like global TTL/TTI does. The notification is delivered lazily during subsequent cache operations (e.g. get, set) after the per-entry deadline passes — it is not instant.

Removing entries

Remove an entry with Moka.remove(key). It returns the previous value if present; otherwise None.

from moka_py import Moka


c = Moka(128)
c.set("hello", "world")
assert c.remove("hello") == "world"
assert c.get("hello") is None

If None is a valid cached value, distinguish it from absence using Moka.remove(key, default=...):

from moka_py import Moka


c = Moka(128)
c.set("hello", None)
assert c.remove("hello", default="WAS_NOT_SET") is None  # None was set explicitly

# Now the entry "hello" does not exist, so `default` is returned
assert c.remove("hello", default="WAS_NOT_SET") == "WAS_NOT_SET"

How it works

Moka stores Python object references (by Py_INCREF) and does not serialize or deserialize values. You can use any Python object as a value and any hashable object as a key (__hash__ is used). Mutable objects remain mutable:

from moka_py import Moka


c = Moka(128)
my_list = [1, 2, 3]
c.set("hello", my_list)
still_the_same = c.get("hello")
still_the_same.append(4)
assert my_list == [1, 2, 3, 4]

Eviction policies

moka-py uses TinyLFU by default, with an LRU option. Learn more in the Moka wiki.

Performance

Measured using MacBook Pro 14-inch, Nov 2024 with Apple M4 Pro processor and 24GiB RAM

-------------------------------------------------------------------------------------------- benchmark: 9 tests -------------------------------------------------------------------------------------------
Name (time in ns)                       Min                 Max                Mean            StdDev              Median               IQR            Outliers  OPS (Mops/s)            Rounds  Iterations
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_bench_remove                   68.1140 (1.0)       68.2812 (1.0)       68.1806 (1.0)      0.0671 (1.0)       68.1621 (1.0)      0.1000 (1.0)           1;0       14.6669 (1.0)           5    10000000
test_bench_get[lru-False]           77.5126 (1.14)      78.2797 (1.15)      77.7823 (1.14)     0.2947 (4.39)      77.6792 (1.14)     0.2913 (2.91)          1;0       12.8564 (0.88)          5    10000000
test_bench_get[tiny_lfu-False]      78.0985 (1.15)      78.8168 (1.15)      78.4920 (1.15)     0.2678 (3.99)      78.4868 (1.15)     0.3429 (3.43)          2;0       12.7401 (0.87)          5    10000000
test_bench_get[lru-True]            89.1512 (1.31)      89.6459 (1.31)      89.4480 (1.31)     0.1910 (2.85)      89.5190 (1.31)     0.2458 (2.46)          2;0       11.1797 (0.76)          5    10000000
test_bench_get[tiny_lfu-True]       91.4891 (1.34)      91.9214 (1.35)      91.6827 (1.34)     0.1867 (2.78)      91.7339 (1.35)     0.3141 (3.14)          2;0       10.9072 (0.74)          5    10000000
test_bench_get_with                137.0672 (2.01)     137.8738 (2.02)     137.4143 (2.02)     0.3182 (4.74)     137.2839 (2.01)     0.4530 (4.53)          2;0        7.2773 (0.50)          5    10000000
test_bench_set_str_key             354.1709 (5.20)     355.5768 (5.21)     354.9073 (5.21)     0.5631 (8.39)     355.0415 (5.21)     0.8900 (8.90)          2;0        2.8176 (0.19)          5     1408297
test_bench_set[tiny_lfu]           355.6927 (5.22)     356.9633 (5.23)     356.3647 (5.23)     0.5645 (8.41)     356.4059 (5.23)     1.0390 (10.40)         2;0        2.8061 (0.19)          5     1405450
test_bench_set[lru]                388.7005 (5.71)     389.5825 (5.71)     389.1170 (5.71)     0.3837 (5.72)     389.0796 (5.71)     0.6915 (6.92)          2;0        2.5699 (0.18)          5     1295615
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

License

moka-py is distributed under the MIT license.

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

moka_py-0.3.0.tar.gz (35.2 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

moka_py-0.3.0-pp311-pypy311_pp73-win_amd64.whl (191.8 kB view details)

Uploaded PyPyWindows x86-64

moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl (499.7 kB view details)

Uploaded PyPymusllinux: musl 1.2+ x86-64

moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl (535.9 kB view details)

Uploaded PyPymusllinux: musl 1.2+ i686

moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_armv7l.whl (573.3 kB view details)

Uploaded PyPymusllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl (456.0 kB view details)

Uploaded PyPymusllinux: musl 1.2+ ARM64

moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (287.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (323.8 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ s390x

moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (325.9 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (301.8 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARM64

moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl (317.7 kB view details)

Uploaded PyPymanylinux: glibc 2.5+ i686

moka_py-0.3.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl (270.4 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

moka_py-0.3.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl (284.6 kB view details)

Uploaded PyPymacOS 10.12+ x86-64

moka_py-0.3.0-pp310-pypy310_pp73-win_amd64.whl (192.9 kB view details)

Uploaded PyPyWindows x86-64

moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl (500.8 kB view details)

Uploaded PyPymusllinux: musl 1.2+ x86-64

moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl (537.1 kB view details)

Uploaded PyPymusllinux: musl 1.2+ i686

moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_armv7l.whl (574.5 kB view details)

Uploaded PyPymusllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl (457.2 kB view details)

Uploaded PyPymusllinux: musl 1.2+ ARM64

moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288.3 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ x86-64

moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl (324.6 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ s390x

moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (327.0 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (303.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (280.1 kB view details)

Uploaded PyPymanylinux: glibc 2.17+ ARM64

moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl (318.8 kB view details)

Uploaded PyPymanylinux: glibc 2.5+ i686

moka_py-0.3.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl (271.3 kB view details)

Uploaded PyPymacOS 11.0+ ARM64

moka_py-0.3.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl (285.6 kB view details)

Uploaded PyPymacOS 10.12+ x86-64

moka_py-0.3.0-cp314-cp314t-win_amd64.whl (196.4 kB view details)

Uploaded CPython 3.14tWindows x86-64

moka_py-0.3.0-cp314-cp314t-win32.whl (197.3 kB view details)

Uploaded CPython 3.14tWindows x86

moka_py-0.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl (505.0 kB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp314-cp314t-musllinux_1_2_i686.whl (541.8 kB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ i686

moka_py-0.3.0-cp314-cp314t-musllinux_1_2_armv7l.whl (579.2 kB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl (460.6 kB view details)

Uploaded CPython 3.14tmusllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (292.3 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl (329.3 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (328.8 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (307.8 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.2 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl (323.8 kB view details)

Uploaded CPython 3.14tmanylinux: glibc 2.5+ i686

moka_py-0.3.0-cp314-cp314t-macosx_11_0_arm64.whl (269.5 kB view details)

Uploaded CPython 3.14tmacOS 11.0+ ARM64

moka_py-0.3.0-cp314-cp314t-macosx_10_12_x86_64.whl (283.4 kB view details)

Uploaded CPython 3.14tmacOS 10.12+ x86-64

moka_py-0.3.0-cp314-cp314-win_amd64.whl (200.2 kB view details)

Uploaded CPython 3.14Windows x86-64

moka_py-0.3.0-cp314-cp314-win32.whl (199.9 kB view details)

Uploaded CPython 3.14Windows x86

moka_py-0.3.0-cp314-cp314-musllinux_1_2_x86_64.whl (508.7 kB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp314-cp314-musllinux_1_2_i686.whl (545.1 kB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ i686

moka_py-0.3.0-cp314-cp314-musllinux_1_2_armv7l.whl (582.3 kB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp314-cp314-musllinux_1_2_aarch64.whl (464.3 kB view details)

Uploaded CPython 3.14musllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (295.6 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl (332.2 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (331.6 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (310.9 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (286.6 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl (326.9 kB view details)

Uploaded CPython 3.14manylinux: glibc 2.5+ i686

moka_py-0.3.0-cp314-cp314-macosx_11_0_arm64.whl (270.3 kB view details)

Uploaded CPython 3.14macOS 11.0+ ARM64

moka_py-0.3.0-cp314-cp314-macosx_10_12_x86_64.whl (285.3 kB view details)

Uploaded CPython 3.14macOS 10.12+ x86-64

moka_py-0.3.0-cp313-cp313t-win_amd64.whl (196.7 kB view details)

Uploaded CPython 3.13tWindows x86-64

moka_py-0.3.0-cp313-cp313t-win32.whl (197.9 kB view details)

Uploaded CPython 3.13tWindows x86

moka_py-0.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl (505.7 kB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp313-cp313t-musllinux_1_2_i686.whl (542.1 kB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ i686

moka_py-0.3.0-cp313-cp313t-musllinux_1_2_armv7l.whl (579.5 kB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl (460.6 kB view details)

Uploaded CPython 3.13tmusllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (292.7 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl (329.0 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (328.7 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (308.0 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (283.2 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl (323.7 kB view details)

Uploaded CPython 3.13tmanylinux: glibc 2.5+ i686

moka_py-0.3.0-cp313-cp313t-macosx_11_0_arm64.whl (269.6 kB view details)

Uploaded CPython 3.13tmacOS 11.0+ ARM64

moka_py-0.3.0-cp313-cp313t-macosx_10_12_x86_64.whl (283.8 kB view details)

Uploaded CPython 3.13tmacOS 10.12+ x86-64

moka_py-0.3.0-cp313-cp313-win_amd64.whl (200.8 kB view details)

Uploaded CPython 3.13Windows x86-64

moka_py-0.3.0-cp313-cp313-win32.whl (200.1 kB view details)

Uploaded CPython 3.13Windows x86

moka_py-0.3.0-cp313-cp313-musllinux_1_2_x86_64.whl (508.9 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp313-cp313-musllinux_1_2_i686.whl (545.0 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ i686

moka_py-0.3.0-cp313-cp313-musllinux_1_2_armv7l.whl (582.2 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp313-cp313-musllinux_1_2_aarch64.whl (464.3 kB view details)

Uploaded CPython 3.13musllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (295.8 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl (332.1 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (331.8 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (310.6 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (286.8 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl (327.2 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.5+ i686

moka_py-0.3.0-cp313-cp313-macosx_11_0_arm64.whl (270.4 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

moka_py-0.3.0-cp313-cp313-macosx_10_12_x86_64.whl (285.6 kB view details)

Uploaded CPython 3.13macOS 10.12+ x86-64

moka_py-0.3.0-cp312-cp312-win_amd64.whl (201.1 kB view details)

Uploaded CPython 3.12Windows x86-64

moka_py-0.3.0-cp312-cp312-win32.whl (200.2 kB view details)

Uploaded CPython 3.12Windows x86

moka_py-0.3.0-cp312-cp312-musllinux_1_2_x86_64.whl (509.3 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp312-cp312-musllinux_1_2_i686.whl (545.1 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ i686

moka_py-0.3.0-cp312-cp312-musllinux_1_2_armv7l.whl (582.4 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp312-cp312-musllinux_1_2_aarch64.whl (464.5 kB view details)

Uploaded CPython 3.12musllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (296.1 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (332.3 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (331.9 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (310.7 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (287.1 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl (327.2 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.5+ i686

moka_py-0.3.0-cp312-cp312-macosx_11_0_arm64.whl (270.5 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

moka_py-0.3.0-cp312-cp312-macosx_10_12_x86_64.whl (285.7 kB view details)

Uploaded CPython 3.12macOS 10.12+ x86-64

moka_py-0.3.0-cp311-cp311-win_amd64.whl (191.6 kB view details)

Uploaded CPython 3.11Windows x86-64

moka_py-0.3.0-cp311-cp311-win32.whl (193.0 kB view details)

Uploaded CPython 3.11Windows x86

moka_py-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl (499.5 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp311-cp311-musllinux_1_2_i686.whl (536.2 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ i686

moka_py-0.3.0-cp311-cp311-musllinux_1_2_armv7l.whl (573.6 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp311-cp311-musllinux_1_2_aarch64.whl (456.0 kB view details)

Uploaded CPython 3.11musllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (287.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (324.3 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (325.8 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (301.9 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279.4 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl (317.7 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.5+ i686

moka_py-0.3.0-cp311-cp311-macosx_11_0_arm64.whl (270.4 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

moka_py-0.3.0-cp311-cp311-macosx_10_12_x86_64.whl (284.6 kB view details)

Uploaded CPython 3.11macOS 10.12+ x86-64

moka_py-0.3.0-cp310-cp310-win_amd64.whl (192.1 kB view details)

Uploaded CPython 3.10Windows x86-64

moka_py-0.3.0-cp310-cp310-win32.whl (193.4 kB view details)

Uploaded CPython 3.10Windows x86

moka_py-0.3.0-cp310-cp310-musllinux_1_2_x86_64.whl (500.0 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp310-cp310-musllinux_1_2_i686.whl (536.7 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ i686

moka_py-0.3.0-cp310-cp310-musllinux_1_2_armv7l.whl (574.0 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp310-cp310-musllinux_1_2_aarch64.whl (456.6 kB view details)

Uploaded CPython 3.10musllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (287.5 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (324.6 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (326.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (302.4 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (279.8 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl (318.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.5+ i686

moka_py-0.3.0-cp310-cp310-macosx_11_0_arm64.whl (270.9 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

moka_py-0.3.0-cp310-cp310-macosx_10_12_x86_64.whl (285.2 kB view details)

Uploaded CPython 3.10macOS 10.12+ x86-64

moka_py-0.3.0-cp39-cp39-win_amd64.whl (193.1 kB view details)

Uploaded CPython 3.9Windows x86-64

moka_py-0.3.0-cp39-cp39-win32.whl (194.5 kB view details)

Uploaded CPython 3.9Windows x86

moka_py-0.3.0-cp39-cp39-musllinux_1_2_x86_64.whl (501.1 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ x86-64

moka_py-0.3.0-cp39-cp39-musllinux_1_2_i686.whl (537.7 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ i686

moka_py-0.3.0-cp39-cp39-musllinux_1_2_armv7l.whl (575.1 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ ARMv7l

moka_py-0.3.0-cp39-cp39-musllinux_1_2_aarch64.whl (457.6 kB view details)

Uploaded CPython 3.9musllinux: musl 1.2+ ARM64

moka_py-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (288.6 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

moka_py-0.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl (325.4 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ s390x

moka_py-0.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (327.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ppc64le

moka_py-0.3.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl (303.8 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARMv7l

moka_py-0.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (280.8 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

moka_py-0.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl (319.2 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.5+ i686

File details

Details for the file moka_py-0.3.0.tar.gz.

File metadata

  • Download URL: moka_py-0.3.0.tar.gz
  • Upload date:
  • Size: 35.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0.tar.gz
Algorithm Hash digest
SHA256 9b27c88e21e989e4b3f07fc60d42a26d33cef79948dd7255a92a43f55ab5567b
MD5 e71d67ca71fcaeebd98d5e817dd3ccfd
BLAKE2b-256 f34eb733c7e9346685b85cedef787fcc9e47fa964d79724903366df5184cff7e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 bf7128d9eeafbc28eb6b4459e442856eba55c43144cb0b6d457539427b6a1546
MD5 35155e2b801974d9d1c88558c20331eb
BLAKE2b-256 a78bcae2926745206c174d2de5f7dc11006f44d0fc1fa8dc472171fb54d7173d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f9428d1197fd34af668d519b8ee9c5ad9b06a3d667774018e52accbe037f9779
MD5 35cbc29232359e4923a6ae9a49b6be02
BLAKE2b-256 f59c3c6ec0631ca051a79db37f5c6c6129f823ad079be4f5e024a04b0df8947b

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 30b3ae236cff7c686232a63afaa787fddeefe9be3030a3bbd6b6aa36c9d986e1
MD5 e8071ee5a61111804be8412380cf0ee0
BLAKE2b-256 99d8a780ce92dd43733b53f3a51229df18673ac92b0566f0039fd13924130c26

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 fd9702c9dca3ec67dd4702060733f471a461e3d54597134d331683cdd6666e22
MD5 d5fe1b2661c5c29d01387a5f96dad88c
BLAKE2b-256 c58d5e6f12dcb3e92126de54102573d12973dd3bd46e12979c2b1f96e2a2b4c9

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 2d1313bfa0e9f352ebb30503bc062dfbcdfc8bc30214c75a433e6102d990b5b8
MD5 4d770ef89f2491ff72076748c1f62678
BLAKE2b-256 a559b5702af52b1a140b5fa1f9f33410799cf24d38ed74f0d0fbacba9cc18063

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 846b77791a0739b8c928e587ba585657f55d1c5c08564579f20544fe1b2373d6
MD5 a8310f5c8962b16d545898778edbf567
BLAKE2b-256 5e634f97a1af74f8ea63dbe0d83be38006f8ddc3c10da4f56c996e880e8ca701

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 95aae334a77a168df57fb9e8daad1d089107aedbe5b4fe34afd0a04f50f44182
MD5 b66d3e46648e7a2e94c42e63e1b76733
BLAKE2b-256 1abfa8ea5489750cd376fd0b0d00f762d1eb85c57170c2e57b968cdc1f026941

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 273561789b606aba36672f0e14e33fb9b74f2a984d7a4b4456032ba4eef215b7
MD5 4a71a8b39c46a491f1063ae72be40d6b
BLAKE2b-256 b207e262f9da1f46f4c73e5532c9ddc83cb550564397c8577042f376eaa717b4

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 c01d0b7f369b11e631daaaa6d334abb04ad85eeca32b985338a5372948b6ca97
MD5 1952cba85c8e8796f4a544b9fce5590b
BLAKE2b-256 f8e14f594a4f136576be771c73aa013ed6f8f07c22cda80749784ebfee38928e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 97ac9579d4b4ae393e5fe8ab21c946f5d12d476ac0d99bd86f2465b7e4492f65
MD5 87369ff42c4bbdc59dbddd0312c34421
BLAKE2b-256 0aa4c1d9f41f5029b5216920866d7296bc2f968192fc883cec13123801847077

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 49ab1fb0abc2c5f66625c49339bd845ad7d147cef648443337c5cea836296df2
MD5 3e4e234bbfc9e7c44287bbb8231b228c
BLAKE2b-256 eff711dd290ed8ebde371d0edd07b75f34ed5e50ffc7fca35d338419a5a2fd0d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 14bfb2e279f24eccc2b855da90083f43c5f26aa28b94cdfd03bdecbfb941d834
MD5 259465cf6f926686ff82ccef6c3d3d3f
BLAKE2b-256 f2741549fda6981d7c335d53cf50237b2f28469b8b5f553142f92620a6f298a9

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp311-pypy311_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 0ee18630788fb753ca127f4b23d2e85c38a3eb2d2a3296139c6ee084b989673f
MD5 58c2656bbfd2e6e9be7561bdd424cd9d
BLAKE2b-256 d12811c76cfafbd6fb384936cd9e5448a6e8a0d30d5bdad095d7899d23f3a1e6

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 fb9a45927acc68aac37d312f2d74bc2fd8ef66e6d7d8835e20683fb033974949
MD5 0702317f1127d09557635e0c9114475c
BLAKE2b-256 116b1a5c5de9c73d789e33a378136de1223d22470e947805240f481922054b91

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 d5f7b536af12c0353b62b5216a8c0e19f2e6b465ee40889b0ac4afaa8faa0648
MD5 b1e6203dd1f9a6053f40a1b51c20f6e8
BLAKE2b-256 571593b4ec4f26bb8cad0180e73272cbea65611731a86db9a53b045e9575da14

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 a0aac3ad7109f1fb9eb2ac979bc14ba90c6564c97783e73b2b0e69d1dd05a08c
MD5 a539bdfdfdbbeec8faac3cd6e273862d
BLAKE2b-256 006d761219b68106617b8853a090b8294f5cdd3167b49bf979bfd33364102442

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 7e5554c645dfa25065494b191e1af29941c11a7f0777b024de8fc8d038a9e38b
MD5 18916f8ce9c9d5a056122d6ea2459651
BLAKE2b-256 4a7d4a5bc148ef59450c6153e10c182270b206f63bae9e53441d9070ff23d15e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 b81984eee82f28b31f21d5b1cea369c6b8f50cd805cf400b9adecee67d4ba698
MD5 3711a0bb82e8807293bac172b2a4654f
BLAKE2b-256 ee2e900ac5e5e096233f63f6ab488f9d11cf1d391024f722f748a09e59ae6f09

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ed16e569c9a050b95a4708c586e377973cda6b4c33cf3b85f5096841c25f9763
MD5 106fabd431a0ee7a82c72ed47e37bfa6
BLAKE2b-256 f9b214409bb498814a383e50632d2d7a1c54d49b71e12a94891bb3f32975d454

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 8652c82c5859aabc691736fd10752c88f86e1766585eab84854e26189908effd
MD5 293188c895f177e99e1a75eea387afdb
BLAKE2b-256 05e971e4f67571c7184a7621675822106649d0d1a03003c99c553ecc3b906bcd

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 62951bc0d4f96bff930ae683a7d18238ccc6273f0b9d5b330b7ca6abe6426400
MD5 013c2db751f19636e21a0716af24232c
BLAKE2b-256 803307c203c521eac9e70af12a0f2e61e618046081855aae8f26c1b9ec63505c

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 84c8f9c895ae76b9c509f477aa6c7c9c3cee496d1a24d23ed0640197125c0c41
MD5 abc25fd34f901ed1af749180641e05ba
BLAKE2b-256 274354e85c0d99342c35091fd81036f5f0099b7a06abacc9e25f70516f6765dd

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0fdf0f796d6e8c85e4dc18dc0b2d5b4e979585c3c69c12e59fa7ef5296a24760
MD5 c36132492ca596f704494c5a52d531c7
BLAKE2b-256 1af388d2c43320a2675a25e154fcbb83325461f933ecb9acc5a9ae47ff9e7f51

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 c906eb42ec9e938a5e6d1c53764b1107e7dc09c8ac9eb93f06e3ed27a3172748
MD5 64711bd5f90feff72d11bff721c74793
BLAKE2b-256 dd87c2ed2861cca5d097dd2f4bcfc274cede1892286a18557d17d06536ae5082

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 cf41b3832a7726bfc0014f8aadda87f8a6e309d4a1dca742e63a1f9fdf9cd054
MD5 a4106a9a81405781c020af0878814d76
BLAKE2b-256 d4d76deddd324255d43235f1ae223d27d35fe08d464978728760e1144ad6424c

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 c9ce742e60aedf4b3a26a55b00b6ca718b26e640a447451689a419c98d54039a
MD5 3a44416e3a652ea3d0f62c7c85fe61c5
BLAKE2b-256 f973ae8de21769c5a42a5216c23a120a698613cacbfcc6eca2f9e555f25d0e0a

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-win_amd64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-win_amd64.whl
Algorithm Hash digest
SHA256 231ff72fd89c3506f2cb020d4e73be22b11e93d869b9b8a25c9f872ca390b145
MD5 cd41fcd4ed126ba83436e47c334572c4
BLAKE2b-256 b669fde8f84bdb821d369f33bba7ad60c985c5e30af008d6662c91c694838858

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp314-cp314t-win32.whl
  • Upload date:
  • Size: 197.3 kB
  • Tags: CPython 3.14t, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-win32.whl
Algorithm Hash digest
SHA256 9a0671ee9a25683a680d4cd2cd268816a1dd445ed14ebf860d8ea76d7a452ba5
MD5 94fa8dd9444743599a1ceefadbbaf19f
BLAKE2b-256 bcf1af90d98279df99bd87194f26ce33fbc86610f0d2894746a941305e28ead4

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 614ef3b96d9e8ed973a5b171f56c615d5e26034bb26b9e23fc527512a6955442
MD5 cafa8f9495be41f9832a8655ff720edf
BLAKE2b-256 dae818e32285d503e973d5c898f18b137ff4446fc16f9fd20577f5e0fcec4470

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 8f9283c2d0b5fd62958e35927e9fe7c224df45c9f515db4e50eb34cd9cde5505
MD5 44f5c47db01c73fd2cfe7de23c801815
BLAKE2b-256 b80c2e299f064b3440f90a4ddb771bdfa72ccdd3037b7d42c1295c973aad151f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 e95e0b9bbb774796807ebc4118b792ddb4547953a47d3abf8bc21c3fd038db15
MD5 e837d0afd86fa12c5eeaa18c4427a712
BLAKE2b-256 e7b414a13ffe213902db8c90f1da3fe51b02c1b1d927d6aecf7f161aa034d476

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 0bf481d8ad5ed30586fa2040a714d7a6b9371f8a9b9110850a51540febf46e00
MD5 c132993d674ac8453dea64c1ceb39cd9
BLAKE2b-256 322ac3f244edbf8b0c7a9685592b3801d1a13e005f760970c1f47f93277aba3f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3f599bac8f5af4ea538a3c44c4689bcb3d40eb43546d6a5c46bba3388adb93a3
MD5 d25a8f3e8315cb01c893583fa8f3c3cf
BLAKE2b-256 95ee189771f9143561dc6aa9e48010edc821c3e5e5057c57eaad8012da574fda

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 b0b5c8c0bba8e04390125d378ed02a989fdb2cd1ec6c0b951d5a383064587bf7
MD5 b041e9dada5a7bd8e4440cc870d818f7
BLAKE2b-256 5c99f71ff19ef157f655f5b21bb955a9ce59264f77680c152123de1136fd2dde

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 1e8f4ac1bf43b422e32c1039aaf36417aea18b63abb0604027aa57cf7b257f3f
MD5 26974644f919ffeb3b1e3377b77fdfbb
BLAKE2b-256 227552266735574eb5d0f33f769a8dc5ac50c352293d79c881d409fc1e68a2d5

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 3d8f3f845e9a537336a8ea6228d3917ba15cfff2ba6f2213ec5e8cbda6aa54c7
MD5 93acf9f2df019038e54a5f2c9bce80bd
BLAKE2b-256 49cbb30d2a16c032656cb8a6d42e510652147186144d4ce11138c4cca2e271fa

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 35826e3d79bcc6a2d2c78342f1b14f1a597a9f16a3528b745e877857e09bc20f
MD5 2aa29b2f956ee92264f62ce8630066fd
BLAKE2b-256 6719948f9a2d73121bfbb5ba2eab44285c6d86f3d55f5aba036fd0b50b0f2b7d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 aa23098c2411c30ee5c89cc1a16a6a21ef331d61c2aa9e063151d7e98c824ded
MD5 217f156db5f7469848dc0ee8e21f07b6
BLAKE2b-256 7d9ef470d8e2b0578a9e743dd44feec0d674890695d4e1b2346c7d1747c517f2

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c52e2d517dd8512ebe66e1142e154a55c06c33271a3fe93fc0359050397a623b
MD5 75d88275bd644f81441ba6ae1c0a8f3d
BLAKE2b-256 46b36ecdbc60bf45c15b61cd31881a146168b7fa4a76347e1ef828c3dbe34df6

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314t-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314t-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 21f948d6b8cb183a9e95dbf276fd87fc494c9d9d156ce7786bf13ed61ebf9934
MD5 694aab5a204030f912d92aa708d4f412
BLAKE2b-256 7393679f51dba7898d8168ed848ae5dc6fd8cb81c71d34fae27418a478669d77

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 200.2 kB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 581837383dbadead7ef7ef71f178c50eec8e3601d598943107dd2acff7ebb8bd
MD5 fbc49a90460812690a02e430d721b160
BLAKE2b-256 a7298f3881ba5e51b1d7205837e35f9f8148c58dbf7247c00701326f5250dfba

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp314-cp314-win32.whl
  • Upload date:
  • Size: 199.9 kB
  • Tags: CPython 3.14, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-win32.whl
Algorithm Hash digest
SHA256 6911906b8c4f585b0c570879ca4ef36885b6a8c53728603de17118cbd904d0d1
MD5 e36e22c8004f21e235dbe8e6f64b6e22
BLAKE2b-256 566c7935e420943cf9ea67c81995f7ea9ce1f9a15a6fb72141504a59708f78f3

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 c04bf2cbf0109129f9f4d440c4171d490fa1d7b8686e2d378e0cb656a53ec99c
MD5 796e07432079c63d1d5a8937f3e5a7e3
BLAKE2b-256 90ae23b6dfdf4f25d863e08b05c6331f7583b78135a21519ec52b5fada95872f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 365695c513c79550e737845e686ce22c2471e289249b68a975e1af592d1239f6
MD5 3216517ef8447e24f5875284a0400845
BLAKE2b-256 56a5010820b2d4ad5f00b2f768d242086e19fcfb3d40833520dbe9fc4058a4ce

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 d8221f5aacb8929fb1a19a9c3b0f7d2478acfa9062e7530e8fa20c82a3994db3
MD5 624588d7ef278115857e889c0066f716
BLAKE2b-256 1dac3deafbdcb520cc2663706233c888488e31f726d50eb5737fa7c7d539d2c0

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 1776683b271e3247eb031b890032a01b02b2fea927f225e4612abfe7f58d21b1
MD5 0e38e5f3df3f7ffbfa47c0e8c88f1a14
BLAKE2b-256 d7abf72dbb1b8dd7b9c4dafb1db1d0084be2bf93e50880616940b58f29b011cf

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5c82bf587c306401a7f6cffebc4d616ce741c77cac22f7a3b10ee7868b912057
MD5 b8434e6e39379a92e7769b6d2559d569
BLAKE2b-256 ea59638b78bb59f40caa0707ceba0e0cd0e54032a32ff092f711f7f68d9e5528

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 a1bbeba0a415816b8aa998dd8f118e9975c0df380202512f6462fb0c2660eb9f
MD5 26c0879f654686ea432a2d20860adbae
BLAKE2b-256 9f84b4031f0aa522e7e9474cdf64873982657e63f896d3bff000e54117902769

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6d0d0446f5c4e9e6d41edd6b906fcc8dffa03e1a2a2a11fde98edfc436f59c95
MD5 c3a892faafa13bcf6a11bc26cd5290ae
BLAKE2b-256 9c02e6de9081587ef17e420fb88f31dd5d541391c4bf19e1eaf57202ffb19161

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 93e1a134647c6718c3f292f91ed74d34f0d516723f06eef512ebb6328ecca2ce
MD5 1bca5dc824c417c77bc6578d14edbc20
BLAKE2b-256 5896d9076684367dd54874f5dbb80496495dba0b088f0782dad1660c5046720d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a49a7653cb78df445b490a44aba53cf8e9e0e76c9c8ac765ea91a71568516292
MD5 8c6ee4971be09d3b5054bc0b3474a9da
BLAKE2b-256 678d4b18715b4cd978afcf887fad08d7f9a0a3d6193a01695ad9b8311ac48b87

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 b40b16d9357431109bfaf89544de3ab941aea5885e6c3227c4396e50171518b2
MD5 2d286fa9c299e7729b6490d522f053a4
BLAKE2b-256 65c167e760ceee99f4ea03fafbc02ac3ea1a08a5aeacef07db8673ec29794f66

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a3fdfb82e255210666d541159b7e7b08c23d7174e0f5b8e11457a71e311b9a82
MD5 0a518938fe8014c0bdc6249131687c64
BLAKE2b-256 7d6b119a9fca6f7ed950adcfc3cd6cd6c473d4d8bc399ed2789f6aa19f2c3365

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp314-cp314-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp314-cp314-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 456c243ba03105cb9acb2677b7e31d75af83db50b8d67b50f852e0507192a110
MD5 0dec2efe495cc5eebbdc8635ecaa9351
BLAKE2b-256 b0856d80ff4edb52f7fa90f43b93071e14f6c51aea8fc75484337b0ebbb5ece3

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-win_amd64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-win_amd64.whl
Algorithm Hash digest
SHA256 13a7a70680ab04ea39e9ad13d43a0623e978ee8497796d28c0d3a0cfb7bcb098
MD5 0bf448a4bb3891fa183d6523696f23c6
BLAKE2b-256 0da272d78e8f95588fc89f44b94713d3dd926090afc6a7505de6e3ecfc3851fa

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp313-cp313t-win32.whl
  • Upload date:
  • Size: 197.9 kB
  • Tags: CPython 3.13t, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-win32.whl
Algorithm Hash digest
SHA256 ade93ef2b8ba58481e130c48a77983a0cdff402424259443a7feabb297b1051d
MD5 aa2b719c1cd79860c4f8b16192d4d9cf
BLAKE2b-256 5d3a6b3e7db89608537f3d43ef7491e3c181bc7e93f4cad9e64a373eb2e88ac8

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 6dcd10734c72fe986c2839e0d7dbee17d0c684eb3c29a8c2da8aa445d3a0bf84
MD5 32508b5780853b2343e88104deba8047
BLAKE2b-256 00a1a300e52f2d936ce43dc7344b1687cb7214998876194c40dbda021bae682b

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 7fe227049292188c69912a27fa0db96928a7fd79d718ca4482897e0e93e4f47e
MD5 01115e692bcf36dd94fe34464187e3b1
BLAKE2b-256 bf1a586248af8d1932c93dbf7a1ca0a1b6babdf319f0a0e12d696801a65004a2

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 2eb4b0a905918fe563fb6b4e3e2677ffd41c044256b69b83750bce918e1ea55c
MD5 d2c9ac9394e73d3a5b58e2e3a608b87b
BLAKE2b-256 a0faef1f8a431e91dee84214990631b22af59c064f4e6fce27ba2d2574e2331a

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 e46b14e05a73e1765720b7f810a34f05bfc4b6a2d848e84025cbd8ab0906598b
MD5 2123cad076023c50b4b0682def215fb2
BLAKE2b-256 71a8b9d0600935cbdd52e699534b40bf5aec30e580bab624fd1654d39eb4b7e0

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 91f162368ec01b94a02f819615d825462172a961cec3d8ccc82dc91793dcafa1
MD5 34f8e8ee1ba0dbabd10d0ae305e4c584
BLAKE2b-256 b2f6ff4f048d570792d9e2e7d3af32e6177d175cfa5209473c90d097dd31852b

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 3c41479bf2141cdb170342a42278faee61ac3e9c74c9838416f4f27520d9fd6b
MD5 ea5a13fc6022d5291d1c8776183acccb
BLAKE2b-256 052dfa786bc8565a482a2f8efeed190a63e7541ea789fba8fd2b7a9f9448bbd4

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 ddcac65b8981739dc3bdedf149131ec6527d4a98719fb79ee9296e45dad56983
MD5 89c339ebb65a288d63e22fc174baa6a3
BLAKE2b-256 86d4df3e700be684f40aaf50bfdfb942ca7909b484029e0630b18f97c11e415d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 b627eef69aac5f149d851694619103b051a40a023d6f69a64aab222b2538f789
MD5 6eeaa4a59ede46e581e1982c540d952d
BLAKE2b-256 74140e1642658943b7a496369f30d9bb73ec5ea3b1fbe4826c77738f537e89cb

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 bbd789255d8f6fd1169ef76afca8ed77e0fe6163b2530c526778b3bd57e01882
MD5 52fd118fb6bccb7304aa12eb921b7e84
BLAKE2b-256 8be0d1c1c22891964ccb9ef526dcf00e6323de3dab128828d34da9292285482b

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 f98fbfc5da2279565247d134e5ea30ee5533f7c1d0ce8e4cd028c9dee7e2047f
MD5 62c2916d7fe5509da057a146a1bbd296
BLAKE2b-256 83b6bd5f89dbacf05338e688cf9184eacfeb4552cfc5dfb3880aecf824ac1c6e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3667a1317f3df7d1214d909a5759faf3a4c9fcbbbcb84a21b0a2fe812597fa0b
MD5 e5a20c1ba96193afc2f7cb242b111fdd
BLAKE2b-256 d763a3a52915c9b89b00692072b9fd7d493afa6cef2e0b33f058823d9ce71432

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313t-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313t-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 dc83237997d3d455c7f38d3bd49b67314fda055a079ae9f6495dcaa2c0129adb
MD5 909ab3dee06954956a0d33c2b6829074
BLAKE2b-256 47b2fa1a6e8ba098ee723dcabfa84dfd5d9ce56b07307bef081fcd555a80ca8f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 200.8 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 dd9b94b767b0482789d10ddc454e01da93dd4a14b773a48ac5579be9f29a83ed
MD5 382026529f3145232621ee5a7f21af9b
BLAKE2b-256 b43bcaeffdb7cbd476e3464acf2528b6103ca2f76511498413d82a353a67d747

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp313-cp313-win32.whl
  • Upload date:
  • Size: 200.1 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 0d4244c4ecbe8c6fe29d39a3ad1cca19cb032d2eb17af8a8abdc7e9efcefe2bd
MD5 0bfc179e4a5203b9a870fda4ca60b422
BLAKE2b-256 97ae8e55a58651049b13b5536b941bf45313510afa81229b304543e8c475e307

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 f768fd625f9728dac3a095c2fb9985ca96cd3f02bfbdf3f2c87137965a6dbb91
MD5 0497eda88f1f4a462976d8e4186a725b
BLAKE2b-256 0e767193ef36eec26b7627892d4a774eec80a1434b2f0f305b0d9b4ac86861c8

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 49a7302688cfb736a5f3a0907a912017d3f2afc0ca565dcac3a83eb768eea5e4
MD5 2c8560b1ec65a4978979cd1bf55f4262
BLAKE2b-256 e055db04880b8b8d3f1684cc419729f61d0b31daf7d42296fdb56b7711ca3d3c

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 9abef3a0cdd4ab3fa5c5cc161b5a156c81b7e5ffd8aafd276725ca48884cc27c
MD5 4481e5ba48ac030c828efbe061b6362f
BLAKE2b-256 94538e9df768c8e1fb689548a5289134acc4e1842444cb1b1645e4fbb4909c05

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 acecff32679bde77b7f11ee17b10227699a61a04092fd71fdd2fb06093c706a2
MD5 b42c211e0ec2c63d773947f7e3c5d1c4
BLAKE2b-256 6eb301715af4868c7cc4c0a6523d98c2d31abac6acd2726f95660db64d4e960e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cd1e344fef29d6e41f6a2a3373c67e87932bbca06856d1a98136cd9e82aabc81
MD5 f79eec67053f5fcbb5797ad484cac60e
BLAKE2b-256 63561886ab84f8ca82b2b69467156ce086e5837297ce244ad330459e8a22e7d8

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 cb53feb9166818f4cf64ef1eaff332a2a57f5568c8d5ae8073be06362b31090e
MD5 0c3470e334d9f522363c6b7abdbccdaa
BLAKE2b-256 1ee2f789954386d2564cc028ffac2e3151177af3bd227dd9506551feee3aab3d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 6c2723c2834cbc275bb87882c1f6db9c53ba6f24985ff2e406acdc3b5c39a2ed
MD5 8eb542abba64be80182bd9656868991c
BLAKE2b-256 6b2f902ef644a1e9dc29d75e44baf448b179a9bf60a0912297a29938431e7d13

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1dab58f7c1823c619d1ea034656504a6c1fbd72e8b8a383f54e33f2cc5a74c4e
MD5 58baca74a2412cf494c6d0c1ad54725c
BLAKE2b-256 a0c2cfe6c9f0705a98ae647eb3f3e2794ba126c37e4d472671e4534260a9a1e1

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d8858162f3cede6db27df7668119ff8432a5df28aa84e0ef2a84b1e1fbf4b86f
MD5 0a7cdd279016c212b98c8e4060c011b9
BLAKE2b-256 3df7c49ea6014711ea3b50dbe3e631e6b6ebabcb675e4af58767fe0c585f7022

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 fe8ed4d345650c77764e91350dfd10964cd3ef3c48c64f97227114b680278a32
MD5 49757da61a79bce5250667efd3caf152
BLAKE2b-256 c2a8a36be03f19b3976ccef84d3464bad86e698dbac827a079254a7921543460

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2ffa6e278a4f1be7426816f58b0da51380a974f69c19865da617a608693b32ed
MD5 6c64d86011b07ad1cef007c1945cc254
BLAKE2b-256 eab35fed24d8719468ae14a2d626b75500d58ab095c13dd96b071dbb5648b86f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp313-cp313-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp313-cp313-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 96e437efa0280b5756ed978b2ec880331c2eb6fd8ad6b56047647e6100b74f75
MD5 82d383f45214dfa83dac6eb218285b8b
BLAKE2b-256 79aaf02ecbe8caa3faaa1ed6640cd7852c304c18c26c8ae2f9fc07d9ea500f2c

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 201.1 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 03622f816860d0430c8b072c90666ca23f087d1af56c50922db6716307912a54
MD5 1b6df16748a2a094516310661513da09
BLAKE2b-256 37c2c87312aa1494ae6ddae18048bebe7e94ee0e3ee17457f642d4a0b25c4f38

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp312-cp312-win32.whl
  • Upload date:
  • Size: 200.2 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 122f29ae907742c89fa2c22d1505c8e2db9445d25c484ca05457d7af0fd881cb
MD5 aeecd77d1acbb15272c89a150c8c75f5
BLAKE2b-256 0206343a8995017fef6681f7009ba6eef7fbab0bc099e49cb0113220d0ca5947

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 5260036738159713e12ce75048a79062f19c3fd0b96b1ee143c24e857747cf2a
MD5 210fb13f5dbe4b0494fdfaf6e3748092
BLAKE2b-256 44d5b6f18879d78e5359d45005b2245499ef378fb0ade74b29367e9dbb30cada

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 90c3d5bb372d8e3731a8c3e5da03646d00fb3fe65a80dcefcc30c8cbfef1df7b
MD5 6e5cda1b7ed8ee8301af19b12f073664
BLAKE2b-256 590fabbf568e966b4637dfefb05d35e5d5d14711de3f0c3439f7b6b227209b72

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 ec06eb6d64fc53125e826ec8bc662af28b90bd7f6f3def3a1de44c2e4fb7ac68
MD5 7b9863c77b03ab4f8a51ad651479c5b7
BLAKE2b-256 07256118cda7c0cd96a9ac7cd69506b03639117de9dfcf98fd5ca5ea5f4dbc9e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c5718e1966738d799727eb7ea60b679bf753277e6a7a9fa820c17d7d1f524a09
MD5 fbb4dc501796d5b56aee3d58dd033d28
BLAKE2b-256 de123ab401f1745c520d88c89c6abb355cc7b92033b863f6d1468d791fccee26

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 deff7e41643067afc35e6cf03b67201edf5bf716c1e12698fb125c58dad4b5ca
MD5 51ff5b51db5578c9d1aa039b100b7612
BLAKE2b-256 f2b5a4001e8a4ed5cbc8235770c5fb46702818a4375ce71fc2773796b6fc3b3a

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 babffaf6e463b0d7a16e1b2be2c05520d816af22ab949793d423e19f3e830a75
MD5 e7294af8ff893a72c7c6dede852ab0bb
BLAKE2b-256 688e02815c6167d2cdb6c46cc68a7665847febf9599e4aabc62b441194ccd7bc

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 c7278ea6194e7a604e689723aaa4a0bb1652a3a2e689059fb49f63d7f5958876
MD5 5ee283cc0020663b94797be8867fab5e
BLAKE2b-256 b877d32c26222b44889212ee2e2f57666414d80197b91c1ca36aecceee55e916

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 d632eaab3a906014087c8d171226a5c519e90ad0aec991635a98b304e8bed69c
MD5 781f6122b8e42318a7ecd07e949900bc
BLAKE2b-256 c66f8e93bdbdd8672bc3fd8a55f2d118d245afe2c55a499bcb70fbd96e19d714

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2cf4d28ebebfe2022fe2ddafb84f26a45e67e8818d8cd92f37564a962e820fb6
MD5 93bcb240512c135f16b053a2fd696ea1
BLAKE2b-256 1dcd9db21296175f0c97dd89300f4d7ba43827fb1d008527a2abc30e878ac420

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 b33cbbae3f989a3ba1f5e9a59cb4e966689c3f04557716e7c9903e9e0282e804
MD5 d3c9354f6d914c58333997b5b991fb49
BLAKE2b-256 b00b846687878c9dd97be454ab617afacaca338c62924a07f6b393fd50aaf969

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0e5b9d265efd972adbaf2eb7c13870029618a4d6b73a8089ed8f480ce1a28f1a
MD5 91b1371eabdce3d90ef083376352a565
BLAKE2b-256 fcbde1a3572056004d7ef1c4e0be6345a00c2d8023f44ad9e90b0fd6b920eb24

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp312-cp312-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp312-cp312-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 30f0dc66df2109e410f5fe63c6620bd4d3faa4d6e45c10d7999b43b02ee59478
MD5 02fae8504a2fb842e39355b402cb6523
BLAKE2b-256 332dab00f26396297d3d5568308a6cb01c4d8dc59140e5c04de7a7212939c847

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 191.6 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 574e43fb412d21b499a99062f3d126108902e3b727e2527978db27cf0213295a
MD5 963e3cdf599a8692e3c0739d88d69db4
BLAKE2b-256 a311ab43b84ece366c42b6a9bfcee8f7fa6957206a4f0b42c0aab99c7d7e9135

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 193.0 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 de7e9655e68d9463a0969f2e0b26b4fbaa4e23210e20d187f85b37413787fdd6
MD5 24fe618ce9d7bd174a3358a1b911fc4b
BLAKE2b-256 0b5401f02a4eefa82dbb8bcfe14f4a77b09a029b7bab18eddf120d0a39e2f7ab

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 57bff59c7569a58da6bebb4fbd37635817df59afe7e31f719eaa3edeb6919b7d
MD5 27008cc3485d84aa6c6d44ee43e12d48
BLAKE2b-256 39adf2e9e39b9f5523e43f91165c2199dd668866a534ed0c33aa662d0a6a0e46

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 b1b66c3ce3492a5aa8e81e2de75393887db4c152a295cf2998ac927c7d256c02
MD5 a96f6e08489a7ca2fefbd5ac546b83fd
BLAKE2b-256 dd8bb8b18d676c22bd67b8f1ad7c3d61e573fff03bf4b4aca41f97e950355bd2

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 79c8d27122b0351365a21d6a3ba4e57f9adb05ddf0f2aeb560cde145be25d6d7
MD5 d2da539fe04cfc7e6b123d10f8494783
BLAKE2b-256 ff20b3a528185fdf83249a381aca6d9083df4b363c0038b8b528fbdb7ac203f1

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 05deb642bfc5b45da4c90a07ecba0ffac5ff7500ef0c134e1aef76d2461b42f9
MD5 de0f413e6cafbf98e189b55350a3ecae
BLAKE2b-256 e6aa6d118e4fd4d02c26816369c9fcc61b2813e2db9750ffd285be0269401805

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ca9065ea8493ac699d5e2766f114d0af623695e962dc1766694d0ed6a3e15759
MD5 165ec8a8e70b7ca9b98ae19e25554f48
BLAKE2b-256 75341f85c3b5aa49c431b8b10fd77efd9c2b8bc8ad285161d99de191a013edd4

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 10090f7ec2c254034c64efd37385dc3fd5d9ab6461136659b26d7cd8c2cc9ff8
MD5 35e9ab680bf28e32bb8a9f1a80f7485f
BLAKE2b-256 bf99c35fca898a850aa9534f1a5f7051f6454d65516db0db7bf1d5ab3baf78a9

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 b09c424bffbb0c1e16f50dee51f9250b44b9a56548d954fe674483b7a54b540a
MD5 b00ca5562e24e822b6aef19b6c074d3d
BLAKE2b-256 782154c336a91fbaae43eac1747cd279deb823ae3a56fca60ca92b9c96dc826f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 9815f75fbd6156b3c60949151d5005b3dd6f8015bba61ba84130c717b3182d99
MD5 03569312016d3573dc85d0473a0fccd3
BLAKE2b-256 805e55893cd96ef65cf9f916046d38719c3b1964f3ed57f698d13d9a47d81645

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 54dc6b279c3db7884be3cfe20a11b1fc46fd7fc0db09438381858bb03f9ccdb8
MD5 2b6c5e18061a4649660f8c1bdea4622d
BLAKE2b-256 2a53208364b4ddc2c5f5e478422959e46d53d44f62dd8d589e47b6e24aa69fd1

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 0f63cd4f410dbe4fdae13bbf58c60e327fdf07e6692ecf92511084b55096f2ad
MD5 ab688cf6f289813f340603fd748e0987
BLAKE2b-256 5208e5d62d2fec056ea7bac8c3f351d76572321b891b315aece21bb0b11bb5eb

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 912e088f7b8204955be3fec8c1efd5190240a95f8dcba3e8aff81ff6fd5dd09a
MD5 27416ce1c4708837bdedb348f5eb59dc
BLAKE2b-256 76f11ef6d79f89f466348d33c3bb55480600a21d23c461dfd8ce718d63f8bc23

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp311-cp311-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp311-cp311-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 7bd6c43321dee701ee6639d5e68cb6352416fc2ce93870f121e6c254d9d17287
MD5 ed2b33da9aa2c51f3e963d62a9a74401
BLAKE2b-256 eda0bad6c49daee5f0113baebe6e1c9ccd28e6e4221447d075695664821a4739

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 192.1 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c6c0a9a1a20caa99b3e0def4546967df03d2d79ac87136ede5968f6cb9a88aaf
MD5 71fc11945abb0332f3a4629697889668
BLAKE2b-256 fbc219446e2fcdd0271895bfc1958762bd3476458d615431a2d3da2fe24c04ae

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 193.4 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 742540d8f44790cebc36a0ebcdaaa28dd5b756e2943f2238ce952864063de6c7
MD5 5449a846feb61a4d1890600c4c4a2f76
BLAKE2b-256 bbfa28dbff74c172aa71eb63dca54d8ff82ae08f3dfc69243c7e000d000d2560

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 83a23c9856436d73ea3428210b05368cd0ca01846ecfa15f83e80056d5e9fd03
MD5 3ef446b33e5a3a491016e605a225f2ec
BLAKE2b-256 a23e5b6ea5a4c2c91fdff86c46a6bc6dfe9a0e6170be9cc2abc82687d14c4f06

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 76a4113d4a1cb95fcfdc1328c5dc18c58306e5cba32c49728a284f9fae6c2a3b
MD5 0c3a7523d3992e520785671838dca5e0
BLAKE2b-256 f8834b05c6b5f611226dea6a36cc0f99e0719bbc0c904a97820d3fdc9d07d2a9

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 8b53236e599a8686639b6833418fa7e6f3ad370be2bfd4f2ef693f5d86b9abc0
MD5 49e90dc9a9e08fa3b6d6037e1d11d1fd
BLAKE2b-256 4a56d961398206ca87de731daabc543316a6ccf06b770a4681148492de98f261

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 1f08030023c4fc1799e68f32003dec898d43501eac66f496c7a3536c383cace2
MD5 d8078117b13d157e0355827f27852d43
BLAKE2b-256 3bc268cd300f8b59a230598100326bb596ce737276b4b90b2c26ad2d94867a7d

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc3d59c1f265da077403d7af1361d32d9a633cb279de73a12d7322e98c5ce311
MD5 5afaddbb558b7afd0c8abc9769de1a5a
BLAKE2b-256 8c91f7d41fc85b3e80cab87e0622098adbf9bad000b3340c6ace9621e6a3b6df

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 7892b716f89e62c1a4bcaa40f98a001d660c75ccd9002039ae496e42bcf417f2
MD5 2f07580ba8484c847261b58fce8f7e45
BLAKE2b-256 bd34994450bfd78607923721bf03d28e51efe909e495213a89cb1b737c9d22a4

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 7066b8161828125687e1be18147f8bcdcaebf9acba9f619842f942dc545682b3
MD5 c0f8f322660b45b84c176d94dc51ea45
BLAKE2b-256 00fae1868fff73500ff432b8627ca5f6041117d40c2cfdcd9ec32eb467391269

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 1716cf093bcb55089a9333aef90dcd64eb4a1c672b9cf3b560ad25c601d99ace
MD5 cb44683f82caac14ce407b2bd935d2b8
BLAKE2b-256 0fd792167814e3c7f5cf0d423a04a72b9e5c2f0b5af44978c068d28da567ddaa

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cf316ca950376a23b9c7f5f677095cd577857f0586ddf0e75a19ea180ff986fa
MD5 bf52edb80e4447420ec917e189cfb8e2
BLAKE2b-256 3664ce06e6554bab1caa104dcd3c89be688f0f782cf9824742210e9263d1533f

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 42361fe82c6e02b9346973576c9633429b9adda099e787a9b548487e76a64e15
MD5 fed35c88017d4d46e5207f2ed4dc4afb
BLAKE2b-256 86eff9563cd339704b99f0b0edd5548e2b5822fba366d22011014c783f14aa89

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2545060a83194b5314251c2841de116002e53d7e41c1036fc6a05605ab276008
MD5 a6794b0bb433789f69e73864f3b43850
BLAKE2b-256 2a90bf44dab09934f4ea71f1e87a163cc10104054d47cd86c662e5623cb8aad8

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp310-cp310-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp310-cp310-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 9f516f1e1345bba5cba189d87da975da6f4e53cc0144705704692b5e928ad8eb
MD5 e7da799d4e55a7aed506947c3cedc2f9
BLAKE2b-256 ff02097a4915de549c20bd1519aa57c72c403efa825d2025999201cb4151bfb6

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 193.1 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 a4537ab4e6b0fb37c7c105ec1d14b7e3a21796f6571ec755d3c58f54d510e47d
MD5 42b42408c79175a96b8bd4c079de154d
BLAKE2b-256 eebcf7b405fd8b848d477a15e9db71e4834617f048ec1a7db6bbcc15f2c639a8

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: moka_py-0.3.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 194.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: maturin/1.11.5

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 3b75ef6f01b7fefa220bdaf79e275055c18e567c736b9fd6e8f414735a639df3
MD5 d973a787492fa2e6f1b3d5a8b5a83314
BLAKE2b-256 196b41a70e03083e72a19b606692566fd2bbf42d5f7f8dbfb5f4b6351dc7f236

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 ab8a5d9296b648dd1a627ad1c765c694633f35c301843a432992017d711fe924
MD5 651b8a3bcba22aed31f4e8dea0479e4f
BLAKE2b-256 2e5988f64c3b55f281bbdf1702c81bab78b0af13f5634d219bc8c809f6579098

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-musllinux_1_2_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-musllinux_1_2_i686.whl
Algorithm Hash digest
SHA256 00233ad70ade413ba515f5e30ce73997129f0dd6053dd0ca34f4b945e9590b90
MD5 f56c02fcedd089844aebdbc13133fc92
BLAKE2b-256 0cf852171201c756de9ffbe9c66526e1aa1119ee10f1f37d37535c427d646949

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-musllinux_1_2_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-musllinux_1_2_armv7l.whl
Algorithm Hash digest
SHA256 803000e1e6b88b8d6952aeb0b43ba6b9c36ef21e152a38ef436064fff8cfb1a0
MD5 41ccc81f5301995945944833521a0b61
BLAKE2b-256 aa3dac947039ab27500a83453f393ed4874bd175943cfd396540cb8eb6acd09e

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 67dc2a53ab395e25b231a761ca5a3aefc9ae3ed887a18406c988c9a12436b414
MD5 4cf24b643b2a32f24d285daf2c937f38
BLAKE2b-256 78aeb9ef0cdcf1310b1c4817e275e5d25f4dab4e9cabc36ee43133bc46a7ccbe

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d17170c1dd8183b6c04256cf69f5b5509d37f6d5e97fe17d46352d195b7bfa14
MD5 a912a90f5a2200ee44b104d4e5f377c2
BLAKE2b-256 909fca9e163a6130046a1b9ccb475b658f296029b713b13a54051a0689d1d0c5

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl
Algorithm Hash digest
SHA256 e3c236a6f22c8078b92821180bbbb8ef26c8a9e2f98b3dc0de22c5eadf080e62
MD5 302c67da0ce24f571ae688bfbb0e7917
BLAKE2b-256 c849d89cf11f596110d8b72548a7839cb82d7e96c0beaebf8ba342bd5ba99a81

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl
Algorithm Hash digest
SHA256 31b42af72ff92f6ad804749ad58af0f24225b13a74324e7f30a7b4a215d102c0
MD5 d903e512a15c6197367def298facecc7
BLAKE2b-256 9302cdc75c94d78d787716524e27bfa4e7e91f8a18d0f5002432bd2bfbbc4a38

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl
Algorithm Hash digest
SHA256 f763f6bafd45b1b7836a082c6a4566ca56b85a1ece1b0b3bc80dc758d6ea4c01
MD5 8ac6968dca19557f8d967f9aea9d4070
BLAKE2b-256 71068c953f3694fabc189fd1afd03504e67db46c28565fa2b9fe1fd7ff4bdc92

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f68bfbfdf8b3028b4ab6f95c335f5338242229f214955643048f6c65b649898d
MD5 939dca3b16ed140fbeb64af0e70a110a
BLAKE2b-256 28584e307ebbb02016254466a22f2384d0958b082d8b8fb6930a61bb88d93ec0

See more details on using hashes here.

File details

Details for the file moka_py-0.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl.

File metadata

File hashes

Hashes for moka_py-0.3.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl
Algorithm Hash digest
SHA256 2358e82d9280b0f502aefeb195f231e7044bd6fa47b79050b6b53ac6970457e5
MD5 1f7bce09e60c58500f3f2236261f5585
BLAKE2b-256 6307089f3a1914732165a3bdb3d2d25b0b8394ca3c40f78dcc01aa1e536b7f8a

See more details on using hashes here.

Supported by

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