mirror of
https://github.com/A-Minos/nonebot-plugin-tetris-stats.git
synced 2026-03-05 05:36:54 +08:00
Compare commits
4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 87e6a544a2 | |||
| 74db1931fd | |||
| 1ca6d1f86a | |||
|
|
7361789245 |
@@ -1,12 +1,12 @@
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from datetime import timedelta
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from typing import Any
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from zoneinfo import ZoneInfo
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from arclet.alconna import Alconna, Arg, ArgFlag, Args, CommandMeta, Option
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from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
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from nonebot.adapters import Bot, Event
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from nonebot.matcher import Matcher
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from nonebot_plugin_alconna import At, on_alconna
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from nonebot_plugin_orm import get_session
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from sqlalchemy import select
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from sqlalchemy import func, select
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from ...db import query_bind_info
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from ...utils.exception import NeedCatchError
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@@ -67,7 +67,7 @@ alc = on_alconna(
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dest='rank',
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help_text='查询 IO 段位信息',
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),
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Arg('other', Any, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
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Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
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meta=CommandMeta(
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description='查询 TETR.IO 的信息',
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example='io绑定scdhh\nio查我\niorankx',
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@@ -133,7 +133,7 @@ async def _(event: Event, matcher: Matcher, account: User):
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@alc.assign('rank')
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async def _(event: Event, matcher: Matcher, rank: Rank):
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async def _(matcher: Matcher, rank: Rank):
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if rank == 'z':
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await matcher.finish('暂不支持查询未知段位')
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try:
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@@ -141,13 +141,25 @@ async def _(event: Event, matcher: Matcher, rank: Rank):
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except NeedCatchError as e:
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await matcher.finish(str(f'段位信息获取失败\n{e}'))
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async with get_session() as session:
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data = (
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await session.scalars(select(IORank).where(IORank.rank == rank).order_by(IORank.id.desc()).limit(5))
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).all()
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latest_data = data[0]
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latest_data = (
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await session.scalars(select(IORank).where(IORank.rank == rank).order_by(IORank.id.desc()).limit(1))
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).one()
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compare_data = (
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await session.scalars(
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select(IORank)
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.where(IORank.rank == rank)
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.order_by(
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func.abs(
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func.julianday(IORank.create_time)
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- func.julianday(latest_data.create_time - timedelta(hours=24))
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)
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)
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.limit(1)
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)
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).one()
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message = f'{rank.upper()} 段 分数线 {latest_data.tr_line:.2f} TR, {latest_data.player_count} 名玩家\n'
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if len(data) > 1:
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message += f'对比 {(latest_data.create_time-data[-1].create_time).total_seconds()/3600:.2f} 小时前趋势: {f"↑{difference:.2f}" if (difference:=latest_data.tr_line-data[-1].tr_line) > 0 else f"↓{-difference:.2f}" if difference < 0 else "→"}'
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if compare_data.id != latest_data.id:
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message += f'对比 {(latest_data.create_time-compare_data.create_time).total_seconds()/3600:.2f} 小时前趋势: {f"↑{difference:.2f}" if (difference:=latest_data.tr_line-compare_data.tr_line) > 0 else f"↓{-difference:.2f}" if difference < 0 else "→"}'
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else:
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message += '暂无对比数据'
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avg = get_metrics(pps=latest_data.avg_pps, apm=latest_data.avg_apm, vs=latest_data.avg_vs)
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@@ -172,7 +184,7 @@ async def _(event: Event, matcher: Matcher, rank: Rank):
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f'APM: {latest_data.high_apm[1]} By: {latest_data.high_apm[0]["name"].upper()}\n'
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f'ADPM: {max_vs.adpm} ( {max_vs.vs}vs ) By: {latest_data.high_vs[0]["name"].upper()}\n'
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'\n'
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f'数据更新时间: {(latest_data.create_time+timedelta(hours=8)).strftime("%Y-%m-%d %H:%M:%S")}'
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f'数据更新时间: {latest_data.create_time.replace(tzinfo=ZoneInfo("UTC")).astimezone(ZoneInfo("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")}'
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)
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await matcher.finish(message)
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@@ -1,6 +1,4 @@
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from typing import Any
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from arclet.alconna import Alconna, Arg, ArgFlag, Args, CommandMeta, Option
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from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
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from nonebot.adapters import Bot, Event
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from nonebot.matcher import Matcher
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from nonebot_plugin_alconna import At, on_alconna
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@@ -54,7 +52,7 @@ alc = on_alconna(
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dest='query',
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help_text='查询 TOP 游戏信息',
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),
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Arg('other', Any, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
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Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
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meta=CommandMeta(
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description='查询 TetrisOnline波兰服 的信息',
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example='top绑定scdhh\ntop查我',
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@@ -1,6 +1,4 @@
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from typing import Any
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from arclet.alconna import Alconna, Arg, ArgFlag, Args, CommandMeta, Option
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from arclet.alconna import Alconna, AllParam, Arg, ArgFlag, Args, CommandMeta, Option
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from nonebot.adapters import Bot, Event
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from nonebot.matcher import Matcher
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from nonebot_plugin_alconna import At, on_alconna
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@@ -55,7 +53,7 @@ alc = on_alconna(
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dest='query',
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help_text='查询 茶服 游戏信息',
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),
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Arg('other', Any, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
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Arg('other', AllParam, flags=[ArgFlag.HIDDEN, ArgFlag.OPTIONAL]),
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meta=CommandMeta(
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description='查询 TetrisOnline茶服 的信息',
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example='茶服查我',
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47
poetry.lock
generated
47
poetry.lock
generated
@@ -926,13 +926,13 @@ typing-extensions = ">=4.0.0"
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[[package]]
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name = "nonebot-plugin-orm"
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version = "0.5.0"
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version = "0.5.1"
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description = "SQLAlchemy ORM support for nonebot"
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optional = false
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python-versions = "<4.0,>=3.8"
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files = [
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{file = "nonebot_plugin_orm-0.5.0-py3-none-any.whl", hash = "sha256:e8d0e3b11c592e8d7cef3d635f500a5f7bf45b042eb225907c40dd23e4e2b2bd"},
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{file = "nonebot_plugin_orm-0.5.0.tar.gz", hash = "sha256:2bf51bdc30ee3dc797c5032dc92dbcf34d7eb42d09dd6b527228033807d33a56"},
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{file = "nonebot_plugin_orm-0.5.1-py3-none-any.whl", hash = "sha256:5f1f74aed93a56ea3743b40b9a6b4ffb1d53e6359928f51ef7ffad1ae3d83181"},
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{file = "nonebot_plugin_orm-0.5.1.tar.gz", hash = "sha256:7e3f84fcc932f28f4c235bf2f1bd26da11988f4245bc499dfb781d379816b2d9"},
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]
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[package.dependencies]
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@@ -985,47 +985,6 @@ httpx = ["httpx[http2] (>=0.20.0,<1.0.0)"]
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quart = ["Quart (>=0.18.0,<1.0.0)", "uvicorn[standard] (>=0.20.0,<1.0.0)"]
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websockets = ["websockets (>=10.0)"]
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[[package]]
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name = "numpy"
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version = "1.26.1"
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description = "Fundamental package for array computing in Python"
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optional = false
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python-versions = "<3.13,>=3.9"
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files = [
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{file = "numpy-1.26.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:82e871307a6331b5f09efda3c22e03c095d957f04bf6bc1804f30048d0e5e7af"},
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{file = "numpy-1.26.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cdd9ec98f0063d93baeb01aad472a1a0840dee302842a2746a7a8e92968f9575"},
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{file = "numpy-1.26.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d78f269e0c4fd365fc2992c00353e4530d274ba68f15e968d8bc3c69ce5f5244"},
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{file = "numpy-1.26.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ab9163ca8aeb7fd32fe93866490654d2f7dda4e61bc6297bf72ce07fdc02f67"},
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{file = "numpy-1.26.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:78ca54b2f9daffa5f323f34cdf21e1d9779a54073f0018a3094ab907938331a2"},
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{file = "numpy-1.26.1-cp310-cp310-win32.whl", hash = "sha256:d1cfc92db6af1fd37a7bb58e55c8383b4aa1ba23d012bdbba26b4bcca45ac297"},
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{file = "numpy-1.26.1-cp310-cp310-win_amd64.whl", hash = "sha256:d2984cb6caaf05294b8466966627e80bf6c7afd273279077679cb010acb0e5ab"},
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{file = "numpy-1.26.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cd7837b2b734ca72959a1caf3309457a318c934abef7a43a14bb984e574bbb9a"},
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{file = "numpy-1.26.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1c59c046c31a43310ad0199d6299e59f57a289e22f0f36951ced1c9eac3665b9"},
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{file = "numpy-1.26.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d58e8c51a7cf43090d124d5073bc29ab2755822181fcad978b12e144e5e5a4b3"},
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{file = "numpy-1.26.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6081aed64714a18c72b168a9276095ef9155dd7888b9e74b5987808f0dd0a974"},
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{file = "numpy-1.26.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:97e5d6a9f0702c2863aaabf19f0d1b6c2628fbe476438ce0b5ce06e83085064c"},
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{file = "numpy-1.26.1-cp311-cp311-win32.whl", hash = "sha256:b9d45d1dbb9de84894cc50efece5b09939752a2d75aab3a8b0cef6f3a35ecd6b"},
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{file = "numpy-1.26.1-cp311-cp311-win_amd64.whl", hash = "sha256:3649d566e2fc067597125428db15d60eb42a4e0897fc48d28cb75dc2e0454e53"},
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{file = "numpy-1.26.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:1d1bd82d539607951cac963388534da3b7ea0e18b149a53cf883d8f699178c0f"},
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{file = "numpy-1.26.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:afd5ced4e5a96dac6725daeb5242a35494243f2239244fad10a90ce58b071d24"},
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{file = "numpy-1.26.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a03fb25610ef560a6201ff06df4f8105292ba56e7cdd196ea350d123fc32e24e"},
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{file = "numpy-1.26.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dcfaf015b79d1f9f9c9fd0731a907407dc3e45769262d657d754c3a028586124"},
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{file = "numpy-1.26.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e509cbc488c735b43b5ffea175235cec24bbc57b227ef1acc691725beb230d1c"},
|
||||
{file = "numpy-1.26.1-cp312-cp312-win32.whl", hash = "sha256:af22f3d8e228d84d1c0c44c1fbdeb80f97a15a0abe4f080960393a00db733b66"},
|
||||
{file = "numpy-1.26.1-cp312-cp312-win_amd64.whl", hash = "sha256:9f42284ebf91bdf32fafac29d29d4c07e5e9d1af862ea73686581773ef9e73a7"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bb894accfd16b867d8643fc2ba6c8617c78ba2828051e9a69511644ce86ce83e"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e44ccb93f30c75dfc0c3aa3ce38f33486a75ec9abadabd4e59f114994a9c4617"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9696aa2e35cc41e398a6d42d147cf326f8f9d81befcb399bc1ed7ffea339b64e"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5b411040beead47a228bde3b2241100454a6abde9df139ed087bd73fc0a4908"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:1e11668d6f756ca5ef534b5be8653d16c5352cbb210a5c2a79ff288e937010d5"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-win32.whl", hash = "sha256:d1d2c6b7dd618c41e202c59c1413ef9b2c8e8a15f5039e344af64195459e3104"},
|
||||
{file = "numpy-1.26.1-cp39-cp39-win_amd64.whl", hash = "sha256:59227c981d43425ca5e5c01094d59eb14e8772ce6975d4b2fc1e106a833d5ae2"},
|
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{file = "numpy-1.26.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:06934e1a22c54636a059215d6da99e23286424f316fddd979f5071093b648668"},
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{file = "numpy-1.26.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:76ff661a867d9272cd2a99eed002470f46dbe0943a5ffd140f49be84f68ffc42"},
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{file = "numpy-1.26.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:6965888d65d2848e8768824ca8288db0a81263c1efccec881cb35a0d805fcd2f"},
|
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{file = "numpy-1.26.1.tar.gz", hash = "sha256:c8c6c72d4a9f831f328efb1312642a1cafafaa88981d9ab76368d50d07d93cbe"},
|
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]
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[[package]]
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name = "numpy"
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version = "1.26.2"
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@@ -1,6 +1,6 @@
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[tool.poetry]
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name = 'nonebot-plugin-tetris-stats'
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version = '1.0.0.a6'
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version = '1.0.0.a7'
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description = '一款基于 NoneBot2 的用于查询 Tetris 相关游戏数据的插件'
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authors = ['scdhh <wallfjjd@gmail.com>']
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readme = 'README.md'
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