use uv instead of poetry
This commit is contained in:
9
.vscode/settings.json
vendored
Normal file
9
.vscode/settings.json
vendored
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"[python]": {
|
||||
"editor.formatOnSave": true,
|
||||
"editor.defaultFormatter": "charliermarsh.ruff",
|
||||
"editor.codeActionsOnSave": {
|
||||
"source.organizeImports": "explicit"
|
||||
}
|
||||
},
|
||||
}
|
||||
132
poetry.lock
generated
132
poetry.lock
generated
@@ -1,132 +0,0 @@
|
||||
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
description = "Cross-platform colored terminal text."
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
|
||||
files = [
|
||||
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
|
||||
{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.0.1"
|
||||
description = "Fundamental package for array computing in Python"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "numpy-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0fbb536eac80e27a2793ffd787895242b7f18ef792563d742c2d673bfcb75134"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:69ff563d43c69b1baba77af455dd0a839df8d25e8590e79c90fcbe1499ebde42"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:1b902ce0e0a5bb7704556a217c4f63a7974f8f43e090aff03fcf262e0b135e02"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:f1659887361a7151f89e79b276ed8dff3d75877df906328f14d8bb40bb4f5101"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4658c398d65d1b25e1760de3157011a80375da861709abd7cef3bad65d6543f9"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4127d4303b9ac9f94ca0441138acead39928938660ca58329fe156f84b9f3015"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e5eeca8067ad04bc8a2a8731183d51d7cbaac66d86085d5f4766ee6bf19c7f87"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:9adbd9bb520c866e1bfd7e10e1880a1f7749f1f6e5017686a5fbb9b72cf69f82"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-win32.whl", hash = "sha256:7b9853803278db3bdcc6cd5beca37815b133e9e77ff3d4733c247414e78eb8d1"},
|
||||
{file = "numpy-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:81b0893a39bc5b865b8bf89e9ad7807e16717f19868e9d234bdaf9b1f1393868"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75b4e316c5902d8163ef9d423b1c3f2f6252226d1aa5cd8a0a03a7d01ffc6268"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6e4eeb6eb2fced786e32e6d8df9e755ce5be920d17f7ce00bc38fcde8ccdbf9e"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:a1e01dcaab205fbece13c1410253a9eea1b1c9b61d237b6fa59bcc46e8e89343"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:a8fc2de81ad835d999113ddf87d1ea2b0f4704cbd947c948d2f5513deafe5a7b"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a3d94942c331dd4e0e1147f7a8699a4aa47dffc11bf8a1523c12af8b2e91bbe"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15eb4eca47d36ec3f78cde0a3a2ee24cf05ca7396ef808dda2c0ddad7c2bde67"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:b83e16a5511d1b1f8a88cbabb1a6f6a499f82c062a4251892d9ad5d609863fb7"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:1f87fec1f9bc1efd23f4227becff04bd0e979e23ca50cc92ec88b38489db3b55"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-win32.whl", hash = "sha256:36d3a9405fd7c511804dc56fc32974fa5533bdeb3cd1604d6b8ff1d292b819c4"},
|
||||
{file = "numpy-2.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:08458fbf403bff5e2b45f08eda195d4b0c9b35682311da5a5a0a0925b11b9bd8"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:6bf4e6f4a2a2e26655717a1983ef6324f2664d7011f6ef7482e8c0b3d51e82ac"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d6fddc5fe258d3328cd8e3d7d3e02234c5d70e01ebe377a6ab92adb14039cb4"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:5daab361be6ddeb299a918a7c0864fa8618af66019138263247af405018b04e1"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:ea2326a4dca88e4a274ba3a4405eb6c6467d3ffbd8c7d38632502eaae3820587"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:529af13c5f4b7a932fb0e1911d3a75da204eff023ee5e0e79c1751564221a5c8"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6790654cb13eab303d8402354fabd47472b24635700f631f041bd0b65e37298a"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:cbab9fc9c391700e3e1287666dfd82d8666d10e69a6c4a09ab97574c0b7ee0a7"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:99d0d92a5e3613c33a5f01db206a33f8fdf3d71f2912b0de1739894668b7a93b"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-win32.whl", hash = "sha256:173a00b9995f73b79eb0191129f2455f1e34c203f559dd118636858cc452a1bf"},
|
||||
{file = "numpy-2.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:bb2124fdc6e62baae159ebcfa368708867eb56806804d005860b6007388df171"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bfc085b28d62ff4009364e7ca34b80a9a080cbd97c2c0630bb5f7f770dae9414"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8fae4ebbf95a179c1156fab0b142b74e4ba4204c87bde8d3d8b6f9c34c5825ef"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-macosx_14_0_arm64.whl", hash = "sha256:72dc22e9ec8f6eaa206deb1b1355eb2e253899d7347f5e2fae5f0af613741d06"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-macosx_14_0_x86_64.whl", hash = "sha256:ec87f5f8aca726117a1c9b7083e7656a9d0d606eec7299cc067bb83d26f16e0c"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f682ea61a88479d9498bf2091fdcd722b090724b08b31d63e022adc063bad59"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8efc84f01c1cd7e34b3fb310183e72fcdf55293ee736d679b6d35b35d80bba26"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3fdabe3e2a52bc4eff8dc7a5044342f8bd9f11ef0934fcd3289a788c0eb10018"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:24a0e1befbfa14615b49ba9659d3d8818a0f4d8a1c5822af8696706fbda7310c"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-win32.whl", hash = "sha256:f9cf5ea551aec449206954b075db819f52adc1638d46a6738253a712d553c7b4"},
|
||||
{file = "numpy-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:e9e81fa9017eaa416c056e5d9e71be93d05e2c3c2ab308d23307a8bc4443c368"},
|
||||
{file = "numpy-2.0.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:61728fba1e464f789b11deb78a57805c70b2ed02343560456190d0501ba37b0f"},
|
||||
{file = "numpy-2.0.1-pp39-pypy39_pp73-macosx_14_0_x86_64.whl", hash = "sha256:12f5d865d60fb9734e60a60f1d5afa6d962d8d4467c120a1c0cda6eb2964437d"},
|
||||
{file = "numpy-2.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eacf3291e263d5a67d8c1a581a8ebbcfd6447204ef58828caf69a5e3e8c75990"},
|
||||
{file = "numpy-2.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2c3a346ae20cfd80b6cfd3e60dc179963ef2ea58da5ec074fd3d9e7a1e7ba97f"},
|
||||
{file = "numpy-2.0.1.tar.gz", hash = "sha256:485b87235796410c3519a699cfe1faab097e509e90ebb05dcd098db2ae87e7b3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "polars"
|
||||
version = "1.4.1"
|
||||
description = "Blazingly fast DataFrame library"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "polars-1.4.1-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:f02fc6a5c63dd86cfeb159caa66112e477c69fc7800a28e64609ac2780554865"},
|
||||
{file = "polars-1.4.1-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:bd2acd8b1977f61b9587c8d47d16f101e7e73edd8cdeb3a8a725f15f181cd120"},
|
||||
{file = "polars-1.4.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7cf834a328e292c31c06eb606496becb6d8a795e927c826e26e2af27087950f1"},
|
||||
{file = "polars-1.4.1-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:64eabf0ef7ac0d17fe15361e7daaeb4425a875d2d760c17d96803e9ac8bee244"},
|
||||
{file = "polars-1.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:2313d63ecfa1d9f1e740b9fcabb8ae45d9d0b5acf1ddb401951daba4c0f3f74f"},
|
||||
{file = "polars-1.4.1.tar.gz", hash = "sha256:ed8009aff8cf91f94db5a38d947185603ad5bee48a28b764cf5a52048c7c4756"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
adbc = ["adbc-driver-manager[dbapi]", "adbc-driver-sqlite[dbapi]"]
|
||||
all = ["polars[async,cloudpickle,database,deltalake,excel,fsspec,graph,iceberg,numpy,pandas,plot,pyarrow,pydantic,style,timezone]"]
|
||||
async = ["gevent"]
|
||||
calamine = ["fastexcel (>=0.9)"]
|
||||
cloudpickle = ["cloudpickle"]
|
||||
connectorx = ["connectorx (>=0.3.2)"]
|
||||
database = ["nest-asyncio", "polars[adbc,connectorx,sqlalchemy]"]
|
||||
deltalake = ["deltalake (>=0.15.0)"]
|
||||
excel = ["polars[calamine,openpyxl,xlsx2csv,xlsxwriter]"]
|
||||
fsspec = ["fsspec"]
|
||||
gpu = ["cudf-polars-cu12"]
|
||||
graph = ["matplotlib"]
|
||||
iceberg = ["pyiceberg (>=0.5.0)"]
|
||||
numpy = ["numpy (>=1.16.0)"]
|
||||
openpyxl = ["openpyxl (>=3.0.0)"]
|
||||
pandas = ["pandas", "polars[pyarrow]"]
|
||||
plot = ["hvplot (>=0.9.1)", "polars[pandas]"]
|
||||
pyarrow = ["pyarrow (>=7.0.0)"]
|
||||
pydantic = ["pydantic"]
|
||||
sqlalchemy = ["polars[pandas]", "sqlalchemy"]
|
||||
style = ["great-tables (>=0.8.0)"]
|
||||
timezone = ["backports-zoneinfo", "tzdata"]
|
||||
xlsx2csv = ["xlsx2csv (>=0.8.0)"]
|
||||
xlsxwriter = ["xlsxwriter"]
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.5"
|
||||
description = "Fast, Extensible Progress Meter"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd"},
|
||||
{file = "tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[package.extras]
|
||||
dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
|
||||
notebook = ["ipywidgets (>=6)"]
|
||||
slack = ["slack-sdk"]
|
||||
telegram = ["requests"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "e518e9e57f22023c75b734bc9fdfb85e25b6b937f87bbf5a26c1b31ff370b15f"
|
||||
@@ -1,17 +1,11 @@
|
||||
[tool.poetry]
|
||||
[project]
|
||||
name = "simulation"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Marco Crapts <mcrapts@gmail.com>"]
|
||||
description = "Add your description here"
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10"
|
||||
numpy = "^2.0.1"
|
||||
polars = "^1.4.1"
|
||||
tqdm = "^4.66.5"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = [
|
||||
"numpy>=2.1.1",
|
||||
"polars>=1.7.1",
|
||||
"tqdm>=4.66.5",
|
||||
]
|
||||
|
||||
@@ -10,7 +10,6 @@ from simulation.lib import Process, Simulation
|
||||
|
||||
|
||||
def run_simulation(n_servers=2, lam=40):
|
||||
|
||||
@dataclass
|
||||
class Customer:
|
||||
arrived_at: float
|
||||
@@ -92,9 +91,9 @@ if __name__ == "__main__":
|
||||
n_servers = [n + 1 for n in range(10)]
|
||||
lam = [(n + 1) * 4 for n in range(10)]
|
||||
parameter_values = [
|
||||
{"n_servers": n, "lam": m}
|
||||
for n in n_servers
|
||||
{"lam": m, "n_servers": n}
|
||||
for m in lam
|
||||
for n in n_servers
|
||||
for _ in range(100)
|
||||
]
|
||||
futures = [
|
||||
|
||||
89
uv.lock
generated
Normal file
89
uv.lock
generated
Normal file
@@ -0,0 +1,89 @@
|
||||
version = 1
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.1.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/59/5f/9003bb3e632f2b58f5e3a3378902dcc73c5518070736c6740fe52454e8e1/numpy-2.1.1.tar.gz", hash = "sha256:d0cf7d55b1051387807405b3898efafa862997b4cba8aa5dbe657be794afeafd", size = 18874860 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/36/11/c573ef66c004f991989c2c6218229d9003164525549409aec5ec9afc0285/numpy-2.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c803b7934a7f59563db459292e6aa078bb38b7ab1446ca38dd138646a38203e", size = 20884403 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6b/6c/a9fbef5fd2f9685212af2a9e47485cde9357c3e303e079ccf85127516f2d/numpy-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6435c48250c12f001920f0751fe50c0348f5f240852cfddc5e2f97e007544cbe", size = 13493375 },
|
||||
{ url = "https://files.pythonhosted.org/packages/34/f2/1316a6b08ad4c161d793abe81ff7181e9ae2e357a5b06352a383b9f8e800/numpy-2.1.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3269c9eb8745e8d975980b3a7411a98976824e1fdef11f0aacf76147f662b15f", size = 5088823 },
|
||||
{ url = "https://files.pythonhosted.org/packages/be/15/fabf78a6d4a10c250e87daf1cd901af05e71501380532ac508879cc46a7e/numpy-2.1.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:fac6e277a41163d27dfab5f4ec1f7a83fac94e170665a4a50191b545721c6521", size = 6619825 },
|
||||
{ url = "https://files.pythonhosted.org/packages/9f/8a/76ddef3e621541ddd6984bc24d256a4e3422d036790cbbe449e6cad439ee/numpy-2.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcd8f556cdc8cfe35e70efb92463082b7f43dd7e547eb071ffc36abc0ca4699b", size = 13696705 },
|
||||
{ url = "https://files.pythonhosted.org/packages/cb/22/2b840d297183916a95847c11f82ae11e248fa98113490b2357f774651e1d/numpy-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b9cd92c8f8e7b313b80e93cedc12c0112088541dcedd9197b5dee3738c1201", size = 16041649 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c7/e8/6f4825d8f576cfd5e4d6515b9eec22bd618868bdafc8a8c08b446dcb65f0/numpy-2.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:afd9c680df4de71cd58582b51e88a61feed4abcc7530bcd3d48483f20fc76f2a", size = 16409358 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/f8/5edf1105b0dc24fd66fc3e9e7f3bca3d920cde571caaa4375ec1566073c3/numpy-2.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8661c94e3aad18e1ea17a11f60f843a4933ccaf1a25a7c6a9182af70610b2313", size = 14172488 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f4/c2/dddca3e69a024d2f249a5b68698328163cbdafb7e65fbf6d36373bbabf12/numpy-2.1.1-cp312-cp312-win32.whl", hash = "sha256:950802d17a33c07cba7fd7c3dcfa7d64705509206be1606f196d179e539111ed", size = 6237195 },
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/98/5640a09daa3abf0caeaefa6e7bf0d10c0aa28a77c84e507d6a716e0e23df/numpy-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:3fc5eabfc720db95d68e6646e88f8b399bfedd235994016351b1d9e062c4b270", size = 12568082 },
|
||||
{ url = "https://files.pythonhosted.org/packages/6b/9e/8bc6f133bc6d359ccc9ec051853aded45504d217685191f31f46d36b7065/numpy-2.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5", size = 20834810 },
|
||||
{ url = "https://files.pythonhosted.org/packages/32/1b/429519a2fa28681814c511574017d35f3aab7136d554cc65f4c1526dfbf5/numpy-2.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6e5a9cb2be39350ae6c8f79410744e80154df658d5bea06e06e0ac5bb75480d5", size = 13507739 },
|
||||
{ url = "https://files.pythonhosted.org/packages/25/18/c732d7dd9896d11e4afcd487ac65e62f9fa0495563b7614eb850765361fa/numpy-2.1.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:d4c57b68c8ef5e1ebf47238e99bf27657511ec3f071c465f6b1bccbef12d4136", size = 5074465 },
|
||||
{ url = "https://files.pythonhosted.org/packages/3e/37/838b7ae9262c370ab25312bab365492016f11810ffc03ebebbd54670b669/numpy-2.1.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:8ae0fd135e0b157365ac7cc31fff27f07a5572bdfc38f9c2d43b2aff416cc8b0", size = 6606418 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8b/b9/7ff3bfb71e316a5b43a124c4b7a5881ab12f3c32636014bef1f757f19dbd/numpy-2.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981707f6b31b59c0c24bcda52e5605f9701cb46da4b86c2e8023656ad3e833cb", size = 13692464 },
|
||||
{ url = "https://files.pythonhosted.org/packages/42/78/75bcf16e6737cd196ff7ecf0e1fd3f953293a34dff4fd93fb488e8308536/numpy-2.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ca4b53e1e0b279142113b8c5eb7d7a877e967c306edc34f3b58e9be12fda8df", size = 16037763 },
|
||||
{ url = "https://files.pythonhosted.org/packages/23/99/36bf5ffe034d06df307bc783e25cf164775863166dcd878879559fe0379f/numpy-2.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:e097507396c0be4e547ff15b13dc3866f45f3680f789c1a1301b07dadd3fbc78", size = 16410374 },
|
||||
{ url = "https://files.pythonhosted.org/packages/7f/16/04c5dab564887d4cd31a9ed30e51467fa70d52a4425f5a9bd1eed5b3d34c/numpy-2.1.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7506387e191fe8cdb267f912469a3cccc538ab108471291636a96a54e599556", size = 14169873 },
|
||||
{ url = "https://files.pythonhosted.org/packages/09/e0/d1b5adbf1731886c4186c59a9fa208585df9452a43a2b60e79af7c649717/numpy-2.1.1-cp313-cp313-win32.whl", hash = "sha256:251105b7c42abe40e3a689881e1793370cc9724ad50d64b30b358bbb3a97553b", size = 6234118 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d0/9c/2391ee6e9ebe77232ddcab29d92662b545e99d78c3eb3b4e26d59b9ca1ca/numpy-2.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:f212d4f46b67ff604d11fff7cc62d36b3e8714edf68e44e9760e19be38c03eb0", size = 12561742 },
|
||||
{ url = "https://files.pythonhosted.org/packages/38/0e/c4f754f9e73f9bb520e8bf418c646f2c4f70c5d5f2bc561e90f884593193/numpy-2.1.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:920b0911bb2e4414c50e55bd658baeb78281a47feeb064ab40c2b66ecba85553", size = 20858403 },
|
||||
{ url = "https://files.pythonhosted.org/packages/32/fc/d69092b9171efa0cb8079577e71ce0cac0e08f917d33f6e99c916ed51d44/numpy-2.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:bab7c09454460a487e631ffc0c42057e3d8f2a9ddccd1e60c7bb8ed774992480", size = 13519851 },
|
||||
{ url = "https://files.pythonhosted.org/packages/14/2a/d7cf2cd9f15b23f623075546ea64a2c367cab703338ca22aaaecf7e704df/numpy-2.1.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:cea427d1350f3fd0d2818ce7350095c1a2ee33e30961d2f0fef48576ddbbe90f", size = 5115444 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8e/00/e87b2cb4afcecca3b678deefb8fa53005d7054f3b5c39596e5554e5d98f8/numpy-2.1.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:e30356d530528a42eeba51420ae8bf6c6c09559051887196599d96ee5f536468", size = 6628903 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/9d/337ae8721b3beec48c3413d71f2d44b2defbf3c6f7a85184fc18b7b61f4a/numpy-2.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8dfa9e94fc127c40979c3eacbae1e61fda4fe71d84869cc129e2721973231ef", size = 13665945 },
|
||||
{ url = "https://files.pythonhosted.org/packages/c0/90/ee8668e84c5d5cc080ef3beb622c016adf19ca3aa51afe9dbdcc6a9baf59/numpy-2.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910b47a6d0635ec1bd53b88f86120a52bf56dcc27b51f18c7b4a2e2224c29f0f", size = 16023473 },
|
||||
{ url = "https://files.pythonhosted.org/packages/38/a0/57c24b2131879183051dc698fbb53fd43b77c3fa85b6e6311014f2bc2973/numpy-2.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:13cc11c00000848702322af4de0147ced365c81d66053a67c2e962a485b3717c", size = 16400624 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/4c/14a41eb5c9548c6cee6af0936eabfd985c69230ffa2f2598321431a9aa0a/numpy-2.1.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:53e27293b3a2b661c03f79aa51c3987492bd4641ef933e366e0f9f6c9bf257ec", size = 14155072 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "polars"
|
||||
version = "1.7.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3e/d3/54a4f13c3423db2d09b7b8a29cdee0509b2470cccbd210c7f506deee402c/polars-1.7.1.tar.gz", hash = "sha256:3323bf6b3f1cf55212ddd35f044af8a1aa02033bca17d06f3852325e0da93a80", size = 3971988 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ae/53/7daa3dd2fd6d8728c3363b342fbf1f804a5612ecf33aef74fb63dea5e276/polars-1.7.1-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:589c1b5a9b5167f3c49713212cbeccc39e3a0e12577e21331c50dbf7178e32ed", size = 30844815 },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/2e/f34c0acdbfcd4c9a3cf21c1bf8ecacb68dae7147d0854b131feea027726d/polars-1.7.1-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:c955cca9d109ed5d79f4498915ec80590aa2e4619bc40bafbbeb5a160fcb166e", size = 27184877 },
|
||||
{ url = "https://files.pythonhosted.org/packages/d5/f4/8cd6d454fcf6e1f5f0a17265a3acca19731f79c65c7432bafbb24492bf73/polars-1.7.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cd675e4a306b2da57a1b688e65382aaa9e992dd7156b485fbd7f39892a3d784", size = 32202182 },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/db/de0bcbb437e5246d6ae79c634b5b58167a978cef6cbfa66858174b8577a6/polars-1.7.1-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:45c255749b49bee244d10baeb69057580a0a397125b014bc8854b73ba5bdf45e", size = 28867666 },
|
||||
{ url = "https://files.pythonhosted.org/packages/69/12/6b4b87ff17e2129952604f24d5d052c6ab2c7089547174939e0cb8824fbc/polars-1.7.1-cp38-abi3-win_amd64.whl", hash = "sha256:a9004a907fc8e923dda27879f7e6eea8e06a753e160d08e606c8b9b5f914f911", size = 32095724 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "simulation"
|
||||
version = "0.1.0"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "numpy" },
|
||||
{ name = "polars" },
|
||||
{ name = "tqdm" },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "numpy", specifier = ">=2.1.1" },
|
||||
{ name = "polars", specifier = ">=1.7.1" },
|
||||
{ name = "tqdm", specifier = ">=4.66.5" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tqdm"
|
||||
version = "4.66.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "platform_system == 'Windows'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/58/83/6ba9844a41128c62e810fddddd72473201f3eacde02046066142a2d96cc5/tqdm-4.66.5.tar.gz", hash = "sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad", size = 169504 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/48/5d/acf5905c36149bbaec41ccf7f2b68814647347b72075ac0b1fe3022fdc73/tqdm-4.66.5-py3-none-any.whl", hash = "sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd", size = 78351 },
|
||||
]
|
||||
Reference in New Issue
Block a user