ascl_id stringclasses 752
values | repo_url stringclasses 737
values | file_path stringlengths 4 194 | content large_stringlengths 1 1M | language stringclasses 29
values | license_type stringclasses 24
values | size int64 1 1M |
|---|---|---|---|---|---|---|
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/light_curve/light_curve_py/features/rainbow/_scaler.py | from dataclasses import dataclass
from typing import Dict, Union
import numpy as np
from numpy.typing import NDArray
__all__ = ["Scaler", "MultiBandScaler"]
@dataclass()
class Scaler:
"""Shift and scale arrays"""
shift: Union[float, NDArray]
"""Scale to apply to the array
Either a single value or ... | Python | Unknown | 2,648 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/arrow_input.rs | use arrow_array::types::{ArrowPrimitiveType, Float32Type, Float64Type};
use arrow_buffer::ArrowNativeType;
use arrow_schema::DataType;
use pyo3::prelude::*;
use pyo3_arrow::PyChunkedArray;
use crate::errors::{Exception, Res};
/// Bridge trait: maps f32→Float32Type, f64→Float64Type for downcasting arrow arrays.
pub(cr... | Rust | Unknown | 7,317 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/check.rs | use crate::errors::{Exception, Res};
use itertools::Itertools;
use light_curve_feature::Float;
use ndarray::{ArrayView1, Zip};
pub(crate) fn is_sorted<T>(a: &[T]) -> bool
where
T: PartialOrd,
{
a.iter().tuple_windows().all(|(a, b)| a < b)
}
pub(crate) fn check_sorted<T>(a: &[T], sorted: Option<bool>) -> Res<... | Rust | Unknown | 1,395 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/features.rs | use crate::arrow_input::{
ArrowDtype, ArrowFloat, ArrowLcsSchema, ArrowListType, PyArrowFields, validate_arrow_lcs,
};
use crate::check::{check_finite, check_no_nans, is_sorted};
use crate::cont_array::ContCowArray;
use crate::errors::{Exception, Res};
use crate::ln_prior::LnPrior1D;
use crate::np_array::Arr;
use c... | Rust | Unknown | 86,823 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/lib.rs | use dmdt::DmDt;
use features as f;
use ln_prior::*;
#[cfg(feature = "mimalloc")]
use mimalloc::MiMalloc;
use pyo3::prelude::*;
#[macro_use]
mod np_array;
mod arrow_input;
mod check;
mod cont_array;
mod dmdt;
mod errors;
mod features;
mod ln_prior;
mod transform;
#[cfg(feature = "mimalloc")]
#[global_allocator]
static... | Rust | Unknown | 2,959 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/dmdt.rs | use crate::check::check_sorted;
use crate::cont_array::{ContArray, ContCowArray};
use crate::errors::{Exception, Res};
use crate::np_array::Arr;
use crate::errors::Exception::ValueError;
use conv::{ApproxFrom, ApproxInto, ConvAsUtil};
use enumflags2::{BitFlags, bitflags};
use light_curve_dmdt as lcdmdt;
use light_curv... | Rust | Unknown | 54,126 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/cont_array.rs | use ndarray::{Array1, ArrayBase, ArrayView1, CowRepr, Ix1, OwnedRepr, RawData, ViewRepr};
use num_traits::Zero;
use numpy::Element;
pub struct ContArrayBase<S: RawData>(pub ArrayBase<S, Ix1>);
pub type ContArray<T> = ContArrayBase<OwnedRepr<T>>;
pub type ContArrayView<'a, T> = ContArrayBase<ViewRepr<&'a T>>;
pub type... | Rust | Unknown | 2,241 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/errors.rs | use pyo3::PyErr;
use pyo3::exceptions::{
PyIndexError, PyNotImplementedError, PyRuntimeError, PyTypeError, PyValueError,
};
use pyo3::import_exception;
use std::fmt::Debug;
use std::result::Result;
use thiserror::Error;
import_exception!(pickle, PicklingError);
import_exception!(pickle, UnpicklingError);
#[allow(... | Rust | Unknown | 1,689 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/np_array.rs | use crate::errors::{Exception, Res};
use numpy::prelude::*;
use numpy::{
AllowTypeChange, PyArray1, PyArrayLike1, PyReadonlyArray1, PyUntypedArray,
PyUntypedArrayMethods,
};
use pyo3::prelude::*;
use unarray::UnarrayArrayExt;
pub(crate) type Arr<'a, T> = PyReadonlyArray1<'a, T>;
pub(crate) trait DType {
... | Rust | Unknown | 10,416 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/transform.rs | use crate::errors::{Exception, Res};
use enum_iterator::Sequence;
use light_curve_feature::transformers::{
Transformer, arcsinh::ArcsinhTransformer, clipped_lg::ClippedLgTransformer,
identity::IdentityTransformer, lg::LgTransformer, ln1p::Ln1pTransformer, sqrt::SqrtTransformer,
};
use pyo3::prelude::*;
use pyo... | Rust | Unknown | 4,632 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/src/ln_prior.rs | /// Prior classes and constructors for *Fit feature evaluators
use crate::errors::{Exception, Res};
use light_curve_feature as lcf;
use pyo3::prelude::*;
use pyo3::types::PyBytes;
use serde::{Deserialize, Serialize};
/// Logarithm of prior for *Fit feature extractors
///
/// Construct instances of this class using st... | Rust | Unknown | 4,326 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/conftest.py | def patch_astropy_for_feets():
"""Feets is incompatible with astropy v6.0 because of backward incompatible
changes in the subpackage structure. This function monkey patches astropy
to make it compatible with feets.
"""
import importlib
import sys
from importlib.metadata import version
t... | Python | Unknown | 719 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/test_w_bench.py | import dataclasses
from functools import lru_cache, wraps
from itertools import count
from pathlib import Path
from typing import Generator, Iterator, List, Optional, Union
import cesium.featurize
import numpy as np
import pandas as pd
import pytest
from joblib import Parallel, delayed
from numpy.testing import assert... | Python | Unknown | 24,435 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/test_call.py | import pytest
from light_curve.light_curve_py import MaximumSlope
def test_normalize():
t = [1, 4, 3, 8]
m = [2, 15, 4, 3]
feature = MaximumSlope()
actual = feature(t, m, None, sorted=False)
desired = 11.0
assert actual == desired
def test_fill_zero_division():
t = [1, 1, 3, 4]
feat... | Python | Unknown | 964 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/test_single_band.py | import numpy as np
import pytest
from light_curve.light_curve_py import LinearFit
def test_no_init_bands_no_input_bands():
"""Announce no bands, use no bands"""
t = [1.0, 2.0, 3.0, 4.0, 5.0]
m = [1.0, 2.0, 3.0, 4.0, 5.0]
sigma = [1.0, 1.0, 1.0, 1.0, 1.0]
feature = LinearFit(bands=None)
_value... | Python | Unknown | 3,299 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_bins.py | import numpy as np
from light_curve.light_curve_py import Amplitude, Bins, Mean, Median
def test_bins_1():
feature = Bins(window=1.0, offset=100)
t = np.array([0.0, 1.0, 1.1, 1.2, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5, 5.0])
m = np.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0])
sigma = np.arr... | Python | Unknown | 2,079 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_excvar.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import ExcessVariance
def test_excvar():
m = [1, 1, 2, 3, 4, 5]
sigma = [0.5, 0.5, 0.5, 0.5, 0.5, 0.2]
feature = ExcessVariance()
actual = feature(np.linspace(0, 1, len(m)), m, sigma)
desired = 0.34476562... | Python | Unknown | 359 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_linfit.py | import numpy as np
from numpy.testing import assert_allclose
from scipy.optimize import curve_fit
from light_curve.light_curve_py import LinearFit
def test_linfit():
def f(x, slope, c):
return x * slope + c
t = np.array([2.0, 4.0, 7.0, 10.0, 15.0, 28.0])
m = np.array([1.0, 3.0, 6.0, 10.0, 14.0, ... | Python | Unknown | 702 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_meanvar.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import MeanVariance
def test_meanvar():
feature = MeanVariance()
m = [1, 1, 2, 2, 3, 3, 4, 4]
actual = feature(np.linspace(0, 1, len(m)), m, None)
desired = 0.47809144373375745
assert_allclose(actual, des... | Python | Unknown | 326 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_extractor.py | import numpy as np
from light_curve.light_curve_ext import Eta, Mean
from light_curve.light_curve_ext import _FeatureEvaluator as _RustBaseFeature
from light_curve.light_curve_py import Amplitude, Extractor, OtsuSplit
from light_curve.light_curve_py.features._base import BaseSingleBandFeature as _PythonBaseFeature
d... | Python | Unknown | 1,915 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_otsusplit.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import OtsuSplit
def test_otsu_1():
feature = OtsuSplit()
m = np.array([0.5, 1.5, 1.5, 1.5])
t = np.linspace(0, 1.7, 4)
actual = feature(t, m, None)
desired = [1.0, 0.0, 0.0, 0.25]
assert_allclose(act... | Python | Unknown | 1,307 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_percampl.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import PercentAmplitude
def test_medabsdev():
m = [1.0, 1.0, 3.0, 4.0, 7.0]
feature = PercentAmplitude()
actual = feature(np.linspace(0, 1, len(m)), m, None)
desired = 4.0
assert_allclose(actual, desired)... | Python | Unknown | 321 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_median.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Median
def test_median_1():
n = 9
m = np.arange(n)
feature = Median()
actual = feature(m, m, None)
m = sorted(m)
desired = m[n // 2]
assert_allclose(actual, desired)
def test_median_2():
... | Python | Unknown | 509 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_skew.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Skew
def test_skew():
m = [1.0, 2.0, 3.0, 50.0, 25.0]
feature = Skew()
actual = feature(np.linspace(0, 1, len(m)), m, None)
desired = 1.307253786
assert_allclose(actual, desired)
| Python | Unknown | 302 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_cusum.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Cusum
def test_cusum():
m = [1, 2, 3, 4, 5, 5]
feature = Cusum()
actual = feature(np.linspace(0, 1, len(m)), m, None)
desired = 0.408248290463863
assert_allclose(actual, desired)
| Python | Unknown | 302 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_roms.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Roms
def test_roms_const_data():
feature = Roms()
n = 100
t = np.arange(n)
m = np.ones_like(t)
sigma = np.ones_like(t)
actual = feature(t, m, sigma)
desired = 0.0
assert_allclose(actual... | Python | Unknown | 2,456 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_mean.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Mean
def test_mean_1():
n = 10
feature = Mean()
m = np.arange(10)
desired = sum(m) / n
actual = feature(m, m, None)
assert_allclose(actual, desired)
def test_mean_2():
feature = Mean()
... | Python | Unknown | 450 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_maxslope.py | from numpy.testing import assert_allclose
from light_curve.light_curve_py import MaximumSlope
def test_maxslope():
m = [2, 4, 15, 3]
t = [1, 3, 4, 8]
feature = MaximumSlope()
actual = feature(t, m, None)
desired = 11.0
print(actual)
assert_allclose(actual, desired)
| Python | Unknown | 297 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_medabsdev.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import MedianAbsoluteDeviation
def test_medabsdev():
m = [1.0, 1.0, 3.0, 4.0, 7.0]
feature = MedianAbsoluteDeviation()
actual = feature(np.linspace(0, 1, len(m)), m, None)
desired = 2.0
assert_allclose(ac... | Python | Unknown | 335 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_redchi2.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import ReducedChi2
def test_redchi2_equal_sigma():
m = np.array([1.0, 1.0, 2.0, 3.0, 4.0, 5.0])
sigma = np.array([0.5, 0.5, 0.5, 0.5, 0.5, 0.5])
feature = ReducedChi2()
desired = feature(np.linspace(0, 1, len... | Python | Unknown | 650 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_eta.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Eta
def test_eta():
a = np.array([1, 2, 3, 3, 3, 4, 4])
feature = Eta()
actual = feature(np.linspace(0, 1, len(a)), a, None)
desired = 0.43750000000000006
assert_allclose(actual, desired)
| Python | Unknown | 311 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_n_not_det_before_fd.py | import numpy as np
import pytest
from light_curve.light_curve_py import FluxNNotDetBeforeFd, MagnitudeNNotDetBeforeFd
def test_flux():
feature = FluxNNotDetBeforeFd(signal_to_noise=10)
m = np.array([1, 2, 10, 40, 50])
t = [1, 2, 3, 4, 5]
sigma = np.array([0.4, 0.2, 0.01, 0.03, 0.02])
actual = fea... | Python | Unknown | 1,687 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_etae.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Eta, EtaE
def test_etae_1():
a = np.array([1, 2, 3, 8])
t = np.array([1, 3, 5, 7])
feature = EtaE()
feature_2 = Eta()
actual = feature(t, a, None)
actual_2 = feature_2(t, a, None)
assert_al... | Python | Unknown | 562 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_amplitude.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Amplitude
def test_amplitude():
n = 11
feature = Amplitude()
m = np.arange(n)
desired = (n - 1) / 2
actual = feature(m, m, None)
assert_allclose(actual, desired)
| Python | Unknown | 289 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_color_of_median.py | import pytest
from light_curve.light_curve_py import ColorOfMedian
def test_color_of_median():
m = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0]
band = ["g", "g", "g", "r", "r", "r", "i"]
feature = ColorOfMedian("g", "r")
actual = feature(t=m, m=m, sigma=None, band=band)
desired = -3.0
assert actual =... | Python | Unknown | 610 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_intpercrange.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import InterPercentileRange
def test_intpercrange_1():
m = np.arange(1.0, 7.0)
feature = InterPercentileRange()
actual = feature(m, m)
desired = 3.0
assert_allclose(actual, desired)
def test_intpercrang... | Python | Unknown | 487 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_medbufrperc.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import MedianBufferRangePercentage
def test_medbufrperc():
m = np.arange(1.0, 8.0)
feature = MedianBufferRangePercentage()
actual = feature(m, m, None)
desired = 1 / 7
assert_allclose(actual, desired)
| Python | Unknown | 317 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_stetsonk.py | import numpy as np
from numpy.testing import assert_allclose
from scipy import signal
from light_curve.light_curve_py import StetsonK
def test_stetsonk_1():
feature = StetsonK()
x = np.linspace(0.0, 2 * np.pi, 2000)
sin = np.sin(x)
error = np.ones(2000)
actual = feature(x, sin, error)
desired... | Python | Unknown | 673 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_magnpratio.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import MagnitudePercentageRatio
def test_magnpratio_1():
m = np.arange(1.0, 11.0)
feature = MagnitudePercentageRatio()
feature2 = MagnitudePercentageRatio(quantile_numerator=0.4, quantile_denominator=0.05)
ac... | Python | Unknown | 688 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_ptp_var.py | import numpy as np
import scipy.stats as st
from numpy.testing import assert_allclose
from light_curve.light_curve_py import PeakToPeakVar
def test_ptpvar():
feature = PeakToPeakVar()
rng = np.random.default_rng(0)
n = 100
lmd = 200
t = np.arange(n)
flux = rng.poisson(lmd, n)
sigma = np.s... | Python | Unknown | 963 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_beyondnstd.py | from numpy.testing import assert_allclose
from light_curve.light_curve_py import BeyondNStd
def test_beyondnstd_1():
m = [1.0, 2.0, 3.0, 4.0, 5.0, 10.0]
feature = BeyondNStd(nstd=1.0)
feature_2 = BeyondNStd()
actual = feature(m, m)
actual_2 = feature_2(m, m)
desired = 1 / 6
assert_allclos... | Python | Unknown | 526 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_weightmean.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import WeightedMean
def test_weightmean():
a = [2.0, 3.0, 1.0, 9.0, 5.0]
b = [0.3, 0.4, 0.5, 1, 1]
feature = WeightedMean()
actual = feature(np.linspace(0, 1, len(a)), a, b)
desired = 2.52437574316
as... | Python | Unknown | 351 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_pdiffmperc.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import PercentDifferenceMagnitudePercentile
def test_pdiffmperc():
m = np.arange(1.0, 7.0)
feature = PercentDifferenceMagnitudePercentile(quantile=0.25)
actual = feature(m, m)
desired = 3.0 / 3.5
assert_a... | Python | Unknown | 345 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_lintrend.py | import numpy as np
from numpy.testing import assert_allclose
from scipy.optimize import curve_fit
from light_curve.light_curve_py import LinearTrend
def test_lintrend_1():
def f(x, slope, c):
return x * slope + c
m = np.array([2.0, 4.0, 7.0, 10.0, 15.0, 28.0])
t = np.array([1.0, 3.0, 6.0, 10.0, ... | Python | Unknown | 939 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_kurtosis.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import Kurtosis
def test_kurtosis():
m = [
1.52403507,
-0.47585435,
1.30247288,
-0.26769695,
-1.89584998,
0.30886293,
-1.08824993,
1.17991399,
-0.61... | Python | Unknown | 497 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_rainbow.py | import numpy as np
from light_curve.light_curve_py import RainbowFit
from light_curve.light_curve_py.features.rainbow._scaler import MultiBandScaler
def test_noisy_with_baseline():
rng = np.random.default_rng(0)
band_wave_aa = {"g": 4770.0, "r": 6231.0, "i": 7625.0, "z": 9134.0}
reference_time = 60000.... | Python | Unknown | 5,172 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_adnormal.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import AndersonDarlingNormal
def test_adnormal():
m = np.arange(0, 9)
feature = AndersonDarlingNormal()
desired = feature(m, m, None)
actual = 0.155339690
assert_allclose(actual, desired)
| Python | Unknown | 304 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_py/features/test_stdev.py | import numpy as np
from numpy.testing import assert_allclose
from light_curve.light_curve_py import StandardDeviation
def test_stdev():
m = np.arange(10)
feature = StandardDeviation()
actual = feature(m, m, None)
m_sum = sum((m - np.mean(m)) ** 2)
desired = np.sqrt(m_sum / (len(m) - 1))
asser... | Python | Unknown | 348 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_ext/test_periodogram.py | import numpy as np
import pytest
from numpy.testing import assert_allclose
from scipy.signal import lombscargle
from light_curve.light_curve_ext import Periodogram
def test_vs_lombscargle():
rng = np.random.default_rng(None)
n = 100
t = np.sort(rng.normal(0, 1, n))
m = np.sin(12.3 * t) + 0.2 * rng.n... | Python | Unknown | 5,257 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_ext/test_dmdt.py | import copy
import pickle
from itertools import product
try:
from contextlib import nullcontext
except ImportError:
from contextlib import contextmanager
@contextmanager
def nullcontext(enter_result=None):
yield enter_result
import numpy as np
import pytest
from numpy.testing import assert_a... | Python | Unknown | 12,493 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_ext/test_feature.py | import copy
import inspect
import pickle
from concurrent.futures import ThreadPoolExecutor
from itertools import chain
import arro3.core
import numpy as np
import pyarrow as pa
import pytest
from numpy.testing import assert_allclose, assert_array_equal
import light_curve.light_curve_ext as lc
def _feature_classes(m... | Python | Unknown | 32,574 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve/tests/light_curve_ext/test_ln_prior.py | import copy
import pickle
import pytest
from light_curve.light_curve_ext import ln_prior
LN_PRIORS = [
ln_prior.none(),
ln_prior.log_normal(1.0, 2.0),
ln_prior.log_uniform(1.0, 10.0),
ln_prior.normal(-1.0, 3.0),
ln_prior.uniform(-2.0, 1.0),
ln_prior.mix([(0.5, ln_prior.uniform(0.0, 1.0)), (0.... | Python | Unknown | 786 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve-python/Cargo.toml | [package]
name = "light-curve-python"
version = "0.12.0"
authors = [
"Konstantin Malanchev <hombit@gmail.com>",
"Anastasia Lavrukhina <lavrukhina.ad@gmail.com>",
"Sergey Karpov",
"Etienne Russeil",
]
description = "Feature extractor from noisy time series"
readme = "README.md"
repository = "https://gith... | TOML | Unknown | 1,869 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve-python/README.md | # `light-curve-python`
`light-curve-python` had been a previous name of the [`light-curve`](https://github.com/light-curve/light-curve-python) package.
Now this is an empty package which depends on `light-curve` only.
| Markdown | Unknown | 219 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve-python/setup.py | import toml
from setuptools import setup
def get_light_curve_version():
with open("Cargo.toml") as fh:
cargo_toml = toml.load(fh)
package = cargo_toml["package"]
version = package["version"]
return version
def main():
version = get_light_curve_version()
requirement = f"light-curve[fu... | Python | Unknown | 459 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve-python/pyproject.toml | [build-system]
requires = ["setuptools", "toml", "wheel"]
build-backend = "setuptools.build_meta"
| TOML | Unknown | 98 |
[ascl:2312.019] | https://github.com/light-curve/light-curve-python | light-curve-python/setup.cfg | [metadata]
name = light-curve-python
author = Konstantin Malanchev
author_email = hombit@gmail.com
description = An alias to light-curve package
long_description = file: README.md
long_description_content_type = text/markdown
url = http://github.com/hombit/light-curve
license = MIT
keywords = science, astrophysics
clas... | Config | Unknown | 577 |
[ascl:2103.016] | https://github.com/rossjturner/RAiSERed | README.md | # RAiSERed
[](https://doi.org/10.1093/mnras/staa3067)
<a href="https://ascl.net/2103.016"><img src="https://img.shields.io/badge/ascl-2103.016-blue.svg?colorB=262255" alt="ascl:2103.016" /></a>
Radio-frequency AGN standard ruler code described by ... | Markdown | MIT | 374 |
[ascl:2103.016] | https://github.com/rossjturner/RAiSERed | RAiSERed.py | # RAiSERed module
# Ross Turner, 17 May 2020
# import packages
import astropy.units as u
import math
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.patches as mpatches
import numpy as np
import scipy.fftpack
import warnings
from astropy.cosmology import FlatLambdaCDM
from functoo... | Python | MIT | 42,706 |
[ascl:2302.022] | https://github.com/andresmegias/radex-line-fitter | radexfit.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
RADEX Line Fitter
-----------------
Version 1.4
Copyright (C) 2026 Andrés Megías Toledano
This program is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation, either ... | Python | Unknown | 63,148 |
[ascl:2302.022] | https://github.com/andresmegias/radex-line-fitter | README.md | # RADEX Line Fitter
Python interface for using the software RADEX to fit observed transition lines. It consists of a Python 3 script, `radexfit.py`, which is used with RADEX locally.
You can check the user guide ([`userguide.pdf`](https://github.com/andresmegias/radex-python/blob/main/userguide.pdf)) and the example ... | Markdown | Unknown | 381 |
[ascl:2302.022] | https://github.com/andresmegias/radex-line-fitter | examples/L1517B-CH3OH.yaml | input files:
MADCUBA table:
- L1517B-madcuba.csv
- L1517BOFF1-madcuba.csv
spectra table:
- L1517B-spectra.csv
- L1517BOFF1-spectra.csv
output files:
RADEX results: radex-output-CH3OH.yaml
RADEX parameters:
CH3OH-A:
MADCUBA name: CH3OH-A,vt=0-2
observed lines:
... | YAML | Unknown | 1,378 |
[ascl:2302.022] | https://github.com/andresmegias/radex-line-fitter | examples/L1517B-HC3N.yaml | input files:
MADCUBA table:
- L1517B-madcuba.csv
- L1517BOFF1-madcuba.csv
spectra table:
- L1517B-spectra.csv
- L1517BOFF1-spectra.csv
output files:
RADEX results: radex-output-HC3N.yaml
RADEX parameters:
HC3N:
MADCUBA name: HCCCN
observed lines:
frequen... | YAML | Unknown | 820 |
[ascl:2302.022] | https://github.com/andresmegias/radex-line-fitter | examples/L1517B-CH3CN.yaml | input files:
MADCUBA table:
- L1517B-madcuba.csv
- L1517BOFF1-madcuba.csv
spectra table:
- L1517B-spectra.csv
- L1517BOFF1-spectra.csv
output files:
RADEX results: radex-output-CH3CN.yaml
RADEX parameters:
CH3CN:
MADCUBA name: CH3CN
observed lines:
frequ... | YAML | Unknown | 848 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | CMakeLists.txt | cmake_minimum_required(VERSION 3.18)
message("Using cmake policy CMP0104 NEW (CMAKE_CUDA_ARCHITECTURES must be set)")
cmake_policy(SET CMP0104 NEW)
project(RamsesGPU LANGUAGES CXX C)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_EXTENSIONS OFF)
# custom cmake macros location
list(INSERT CMAKE_MODULE_PATH 0 "${CMAKE_CURREN... | Text | null | 12,771 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | README.md | **WARNING: This code is mostly deprecated. Have a look at [ppkMHD](https://github.com/pkestene/ppkMHD)**
[](https://zenodo.org/badge/latestdoi/42436229)
[Magnet... | Markdown | null | 2,618 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | Licence_CeCILL_V2-en.txt |
CeCILL FREE SOFTWARE LICENSE AGREEMENT
Notice
This Agreement is a Free Software license agreement that is the result
of discussions between its authors in order to ensure compliance with
the two main principles guiding its drafting:
* firstly, compliance with the principles governing the distribution
... | Text | null | 21,097 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | autogen.sh | #! /bin/sh
autoreconf -i -f -v
| Shell | null | 31 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | memory_footprint.py | #
# Some helper function to compute required RAM memory
# per GPU (1 GPU per MPI process)
#
# required memory space in MBytes for MHD run
# def mem_in_MB(N):
# return (180.0*8*(N+6)*(N+6)*(N+6)+710.0*8*(N+6)*(N+6))/1000000
def mem_in_MB(Nx,Ny,Nz):
return (180.0*8*(Nx+6)*(Ny+6)*(Nz+6)+710.0*8*(Nx+6)*(Ny+6))/10... | Python | null | 692 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | Licence_CeCILL_V2-fr.txt |
CONTRAT DE LICENCE DE LOGICIEL LIBRE CeCILL
Avertissement
Ce contrat est une licence de logiciel libre issue d'une concertation
entre ses auteurs afin que le respect de deux grands principes pr�side �
sa r�daction:
* d'une part, le respect des principes de diffusion des logiciels
libres: acc�s au cod... | Text | null | 21,467 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | doc/main.h | /**
* \file main.h
* \brief Doxygen main page Documentation.
* \author P. Kestener
*
* \defgroup test
*
* \mainpage
*
* \section Purpose Purpose
*
* RAMSES-GPU is a software package providing a C++/Cuda
* implementation of several 2nd order numerical schemes for solving the Euler
* equations (2d and 3D) on... | C/C++ Header | null | 14,169 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | am/cudalt.py | #!/usr/bin/python
# libtoolish hack: compile a .cu file like libtool does
import sys
import os
lo_filepath = sys.argv[1]
o_filepath = lo_filepath.replace(".lo", ".o")
try:
i = o_filepath.rindex("/")
lo_dir = o_filepath[0:i+1]
o_filename = o_filepath[i+1:]
except ValueError:
lo_dir = ""
o_filename = o_filepath
... | Python | null | 1,804 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/kelvin_helmholtz_gpu_2d_mhd_mpi.ini | #
# Hydro 2D example parameter file; Kelvin-Helmholtz simulation
#
# see Athena test suite web page :
# http://www.astro.princeton.edu/~jstone/Athena/tests/kh/kh.html
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
# Co... | Config | null | 1,440 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_kelvin_helmholtz_2d.ini | #
# MHD 2D test parameter file; Kelvin-Helmholtz instability simulation
#
# see
# http://www.astro.princeton.edu/~jstone/Athena/tests/kh/kh.html
#
[run]
tend=0.5
noutput=1
nstepmax=10
[mesh]
nx=256
ny=256
nz=1
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2
# BC_PERIODIC=3
boundary_xmin=3
b... | Config | null | 986 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/orszag-tang3d.ini | #
# MHD 3D example parameter file; Orszag-Tang vortex test
#
# see http://www.astro.princeton.edu/~jstone/Athena/tests/orszag-tang/pagesource.html
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc.
[run]
tend=1.5
noutput=20
nstepmax=200
[mesh]
nx=96
ny=96
nz=96
# Bounda... | Config | null | 1,029 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_fieldloop2d.ini | #
# MHD 2D test parameter file; field loop simulation
#
# T. Gardiner & J.M. Stone, "An unsplit Godunov method for ideal MHD
# via constrined transport", JCP, 205, 509 (2005)
# http://www.astro.princeton.edu/~jstone/Athena/tests/field-loop/Field-loop.html
#
[run]
tend=0.5
noutput=1
nstepmax=10
[mesh]
nx=256
ny=148
nz... | Config | null | 1,073 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/implode3d_zslab.ini | #
# Hydro 3D example parameter file; Hydrodynamical Implosion Test
#
# see the Athena test suite :
# http://www.astro.princeton.edu/~jstone/Athena/tests/implode/Implode.html
#
[run]
tend=10.0
noutput=10
nstepmax=200
#nlog=100
[mesh]
nx=64
ny=64
nz=64
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_N... | Config | null | 869 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/kelvin_helmholtz_cpu_2d_mpi.ini | #
# Hydro 2D example parameter file; Kelvin-Helmholtz simulation
#
# see Athena test suite web page :
# http://www.astro.princeton.edu/~jstone/Athena/tests/kh/kh.html
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
# Co... | Config | null | 1,467 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/jet3d_gpu.ini | #
# Hydro 3D example parameter file; jet simulation
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
# Converted from a fortran namelist containing
# various input parameters for HYDRO runs
[run]
tend=0.4
noutput=20
nst... | Config | null | 993 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_fieldloop3d.ini | #
# MHD 3D test parameter file; field loop simulation
#
# T. Gardiner & J.M. Stone, "An unsplit Godunov method for ideal MHD
# via constrined transport", JCP, 205, 509 (2005)
# http://www.astro.princeton.edu/~jstone/Athena/tests/field-loop/Field-loop.html
#
[run]
tend=0.5
noutput=10
nstepmax=100
[mesh]
nx=64
ny=32
nz... | Config | null | 1,096 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_mri_3d_stratified_restart.ini | #
# MHD 3D test parameter file;
# Magneto-Rotational Instability simulation with shearing box border
# conditions and isothermal equation of state.
#
# http://en.wikipedia.org/wiki/Magnetorotational_instability
# http://www.scholarpedia.org/article/Magnetorotational_instability
#
[run]
tend=630000
noutput=10
nstepmax... | Config | null | 1,529 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_jet3d.ini | #
# MHD 3D example parameter file; jet simulation
#
# This example allows to test the hydro part of the MHD solver (class
# MHDRunGodunov), to compare with the pure hydro solver (class
# HydroRunGodunov).
#
[run]
tend=1.2
noutput=5
nstepmax=500
[mesh]
nx=15
ny=15
nz=60
xmin=0.0
xmax=1.0
ymin=0.0
ymax=1.0
zmin=0.0... | Config | null | 1,027 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_jet2d.ini | #
# MHD 2D example parameter file; jet simulation
#
# This example allows to test the hydro part of the MHD solver (class
# MHDRunGodunov), to compare with the pure hydro solver (class
# HydroRunGodunov).
#
[run]
tend=1.2
noutput=10
nstepmax=1000
[mesh]
nx=200
ny=200
nz=1
xmin=0.0
xmax=1.0
ymin=0.0
ymax=1.0
# Bou... | Config | null | 972 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_mri_3d.ini | #
# MHD 3D test parameter file;
# Magneto-Rotational Instability simulation with shearing box border
# conditions and isothermal equation of state.
#
# http://en.wikipedia.org/wiki/Magnetorotational_instability
# http://www.scholarpedia.org/article/Magnetorotational_instability
#
[run]
tend=630000
noutput=500
nstepma... | Config | null | 1,265 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/kelvin_helmholtz_gpu_2d.ini | #
# Hydro 2D example parameter file; Kelvin-Helmholtz simulation
#
# see Athena test suite web page :
# http://www.astro.princeton.edu/~jstone/Athena/tests/kh/kh.html
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
# Co... | Config | null | 1,545 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/jet2d_mpi_gpu.ini | #
# Hydro 2D example parameter file; jet simulation in MPI+GPU environment
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
# Converted from a fortran namelist containing
# various input parameters for HYDRO runs
[run]
... | Config | null | 1,147 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/implode3d_mpi_zslab.ini | #
# Hydro 3D example parameter file; Hydrodynamical Implosion Test
#
# see the Athena test suite :
# http://www.astro.princeton.edu/~jstone/Athena/tests/implode/Implode.html
#
[run]
tend=0.4
noutput=10
nstepmax=100
# define a 3D MPI cartesian mesh with mx x my x mz MPI processes
[mpi]
mx=2
my=2
mz=1
[mesh]
nx=48
ny... | Config | null | 956 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/jet2d_mhd_mpi_cpu.ini | #
# MHD 2D example parameter file; jet simulation
#
# Converted from a fortran namelist containing
# various input parameters for HYDRO runs
[run]
tend=0.4
noutput=50
nstepmax=2000
# define a 2D MPI cartesian mesh with mx x my MPI processes
[mpi]
mx=2
my=2
mz=1
# define the 2D problem for each MPI process
[mesh]
nx=... | Config | null | 1,127 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/Keplerian_disk2d.ini | #
# Hydro 2D example parameter file: Keplerian disk test
#
# see
# http://arxiv.org/pdf/1409.7395v1.pdf - section 4.2.4
# http://www.cfd-online.com/Wiki/Gresho_vortex
[run]
tend=1.5
noutput=10
nstepmax=5000
nlog=100
[mesh]
nx=128
ny=128
nz=1
xmin=-2.5
xmax=2.5
ymin=-2.5
ymax=2.5
zmin=-2.5
zmax=2.5
# BoundaryCondit... | Config | null | 990 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/kelvin_helmholtz_cpu_2d.ini | #
# Hydro 2D example parameter file; Kelvin-Helmholtz simulation
#
# see Athena test suite web page :
# http://www.astro.princeton.edu/~jstone/Athena/tests/kh/kh.html
#
# Converted from a fortran namelist containing
# various input parameters for HYDRO runs
[run]
tend=0.2
noutput=50
nstepmax=5000
[mesh]
nx=400
ny=400... | Config | null | 1,281 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/hydro_sod2d.ini | #
# Hydro 2D example parameter file; Sod shock tube test
#
#
[run]
tend=0.4
noutput=100
nstepmax=9000
[mesh]
nx=128
ny=128
nz=1
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2
# BC_PERIODIC=3
boundary_xmin=1
boundary_xmax=1
boundary_ymin=1
boundary_ymax=1
boundary_zmin=1
boundary_zmax=1
[... | Config | null | 651 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/implode3d.ini | #
# Hydro 3D example parameter file; Hydrodynamical Implosion Test
#
# see the Athena test suite :
# http://www.astro.princeton.edu/~jstone/Athena/tests/implode/Implode.html
#
[run]
tend=0.4
noutput=20
nstepmax=400
[mesh]
nx=64
ny=64
nz=64
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2
#... | Config | null | 804 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/riemann2d.ini | #
# Hydro 2D example parameter file; 2D Riemann problem initialization
#
[run]
tend=0.2
noutput=100
nstepmax=2000
[mesh]
nx=400
ny=400
nz=1
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2
# BC_PERIODIC=3
boundary_xmin=2
boundary_xmax=2
boundary_ymin=2
boundary_ymax=2
boundary_zmin=2
bounda... | Config | null | 790 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/implode2d.ini | #
# Hydro 2D example parameter file; Hydrodynamical Implosion Test
#
# see the Athena test suite :
# http://www.astro.princeton.edu/~jstone/Athena/tests/implode/Implode.html
#
[run]
tend=0.4
noutput=100
nstepmax=9000
[mesh]
nx=400
ny=400
nz=1
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2... | Config | null | 771 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/rayleigh_taylor_gpu_3d.ini | #
# Hydro 3D example parameter file; Rayleigh-Taylor simulation
#
# see Athena test suite web page :
# http://www.astro.princeton.edu/~jstone/Athena/tests/rt/rt.html
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
# Con... | Config | null | 1,301 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/falling_bubble_gpu_2d.ini | #
# Hydro 2D example parameter file; falling bubble simulation
#
# In the GPU version, one must particularly care of numerical parameters like
# smallr, smallc (especially when trace computations is involved).
#
[run]
tend=50
noutput=200
nstepmax=60000
[mesh]
nx=200
ny=200
nz=1
xmin=0.0
xmax=1.0
ymin=0.0
ymax=1.0
# B... | Config | null | 1,064 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/turbulence_mhd_ou.ini | #
# 3D MHD turbulence example parameter file
#
# Forcing term generated with Ornstein-Uhlenbeck process
#
[run]
tend=1000.0
noutput=10
nstepmax=100
nlog=1000
[mesh]
nx=32
ny=32
nz=32
xmin=0
xmax=1
ymin=0
ymax=1
zmin=0
zmax=1
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2
# BC_PERIODIC=3
... | Config | null | 1,159 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/mhd_currentSheet_2d.ini | #
# MHD 2D test parameter file; current sheet test
#
# http://www.astro.princeton.edu/~jstone/Athena/tests/current-sheet/current-sheet.html
#
[run]
tend=0.5
noutput=1
nstepmax=10
[mesh]
nx=100
ny=100
nz=1
# BoundaryConditionType :
# BC_UNDEFINED=0
# BC_DIRICHLET=1
# BC_NEUMANN=2
# BC_PERIODIC=3
boundary_xmin=3
bounda... | Config | null | 955 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/implode2d_mpi.ini | #
# Hydro 2D example parameter file; Hydrodynamical Implosion Test
#
# see the Athena test suite :
# http://www.astro.princeton.edu/~jstone/Athena/tests/implode/Implode.html
#
[run]
tend=0.4
noutput=10
nstepmax=100
# define a 2D MPI cartesian mesh with mx x my MPI processes
[mpi]
mx=2
my=2
mz=1
[mesh]
nx=100
ny=100... | Config | null | 894 |
[ascl:1710.013] | https://github.com/pkestene/ramsesGPU | data/blast2d_mpi.ini | #
# Hydro 2D example parameter file: Spherical Blast wave
#
# see Athena test suite :
# http://www.astro.princeton.edu/~jstone/Athena/tests/blast/blast.html
#
[run]
tend=0.4
noutput=10
nstepmax=200
# define a 2D MPI cartesian mesh with mx x my MPI processes
[mpi]
mx=2
my=2
mz=1
[mesh]
nx=50
ny=75
nz=1
xmin=0.0
xm... | Config | null | 994 |
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