metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "ordered_set.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/beniget/beniget/ordered_set.py",
"type": "Python"
} | """
Copied from https://github.com/bustawin/ordered-set-37
"""
# Unlicense
# This is free and unencumbered software released into the public domain.
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
# binary, for any purpose, comme... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@beniget@beniget@ordered_set.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mavrix93/LightCurvesClassifier",
"repo_path": "LightCurvesClassifier_extracted/LightCurvesClassifier-master/test/stars_processing/__init__.py",
"type": "Python"
} | mavrix93REPO_NAMELightCurvesClassifierPATH_START.@LightCurvesClassifier_extracted@LightCurvesClassifier-master@test@stars_processing@__init__.py@.PATH_END.py | |
{
"filename": "quirks.py",
"repo_name": "MazinLab/MKIDGen3",
"repo_path": "MKIDGen3_extracted/MKIDGen3-main/mkidgen3/quirks.py",
"type": "Python"
} | import pynq
class Quirk:
"""A class to unify working around hardware/pynq quirks in different versions
Indicate quirk presence with .quirkname properties, provide fixes with .do_quirkname(cls, ..)
classmethods, and indicate fix completion with .done_quirkname class properties
For groups of quirks us... | MazinLabREPO_NAMEMKIDGen3PATH_START.@MKIDGen3_extracted@MKIDGen3-main@mkidgen3@quirks.py@.PATH_END.py |
{
"filename": "trunchen.py",
"repo_name": "BEAST-Fitting/beast",
"repo_path": "beast_extracted/beast-master/beast/observationmodel/noisemodel/trunchen.py",
"type": "Python"
} | """
Trunchen version of noisemodel
Goal is to compute the full n-band covariance matrix for each model
"""
import numpy as np
from scipy.spatial import cKDTree
from tqdm import tqdm
from beast.observationmodel.noisemodel.noisemodel import NoiseModel
from beast.observationmodel.vega import Vega
__all__ = ["MultiFilt... | BEAST-FittingREPO_NAMEbeastPATH_START.@beast_extracted@beast-master@beast@observationmodel@noisemodel@trunchen.py@.PATH_END.py |
{
"filename": "Tutorial-Start_to_Finish-ScalarWave.ipynb",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/Tutorial-Start_to_Finish-ScalarWave.ipynb",
"type": "Jupyter Notebook"
} | <script async src="https://www.googletagmanager.com/gtag/js?id=UA-59152712-8"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-59152712-8');
</script>
# Start-to-Finish Example: Numerical Solution of the Scalar... | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@Tutorial-Start_to_Finish-ScalarWave.ipynb@.PATH_END.py |
{
"filename": "tutorial_pipe.md",
"repo_name": "rbuehler/vasca",
"repo_path": "vasca_extracted/vasca-main/docs/tutorials/tutorial_pipe.md",
"type": "Markdown"
} | ---
jupytext:
hide_notebook_metadata: true
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.16.4
kernelspec:
display_name: vasca-github
language: python
name: vasca-github
---
```{code-cell}
:tags: [remove-cell]
# ruff: noqa: T201
```
```{code-c... | rbuehlerREPO_NAMEvascaPATH_START.@vasca_extracted@vasca-main@docs@tutorials@tutorial_pipe.md@.PATH_END.py |
{
"filename": "acspyTestAcsCORBA.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acspycommon/test/acspyTestAcsCORBA.py",
"type": "Python"
} | #!/usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) Associated Universities Inc., 2002
# (c) European Southern Observatory, 2002
# Copyright by ESO (in the framework of the ALMA collaboration)
# and Cosylab 2002, All right... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acspycommon@test@acspyTestAcsCORBA.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "cmillion/gPhoton",
"repo_path": "gPhoton_extracted/gPhoton-master/README.md",
"type": "Markdown"
} | **gPhoton** is a project to calibrate, archive, and make available every photon event observed by the GALEX mission in an effort to dramatically improve the flexibility and utility of the data with specific emphasis on enabling short time domain photometric studies.
To get started, please read the [User Guide](https:/... | cmillionREPO_NAMEgPhotonPATH_START.@gPhoton_extracted@gPhoton-master@README.md@.PATH_END.py |
{
"filename": "piecewise.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/src/pint/models/piecewise.py",
"type": "Python"
} | """Pulsar timing piecewise spin-down solution."""
import astropy.units as u
import numpy as np
from pint.models.parameter import prefixParameter
from pint.models.timing_model import PhaseComponent
from pint.utils import split_prefixed_name, taylor_horner
from pint.exceptions import MissingParameter
class PiecewiseS... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@src@pint@models@piecewise.py@.PATH_END.py |
{
"filename": "_textsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/image/_textsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="image", **kwargs):
super(TextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edi... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@image@_textsrc.py@.PATH_END.py |
{
"filename": "axes.py",
"repo_name": "marblestation/posidonius",
"repo_path": "posidonius_extracted/posidonius-master/posidonius/particles/axes.py",
"type": "Python"
} | import numpy as np
class Axes(object):
def __init__(self, x, y, z):
if type(x) is np.ndarray:
if len(x) != len(y) or len(x) != len(z):
raise Exception("Arrays length do not match!")
self._data = {u'x': x, u'y': y, u'z': z}
else:
self._data = {u'x'... | marblestationREPO_NAMEposidoniusPATH_START.@posidonius_extracted@posidonius-master@posidonius@particles@axes.py@.PATH_END.py |
{
"filename": "plot_triple_with_wind.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/examples/textbook/plot_triple_with_wind.py",
"type": "Python"
} | import os
import numpy
from amuse.lab import *
from prepare_figure import single_frame
from distinct_colours import get_distinct
from matplotlib import pyplot
def read_triple_data(filename):
t = []
ain = []
aout = []
ein = []
eout = []
a0in = 0
a0out = 0
for line in open(filename):
... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@examples@textbook@plot_triple_with_wind.py@.PATH_END.py |
{
"filename": "methods.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/timeseries/periodograms/bls/methods.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
__all__ = ["bls_fast", "bls_slow"]
from functools import partial
import numpy as np
from ._impl import bls_impl
def bls_slow(t, y, ivar, period, duration, oversample, use_likelihood):
"""Compute the periodogram using a brute force reference metho... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@timeseries@periodograms@bls@methods.py@.PATH_END.py |
{
"filename": "helpers.py",
"repo_name": "BEAST-Fitting/beast",
"repo_path": "beast_extracted/beast-master/beast/tools/helpers.py",
"type": "Python"
} | """
This is a first collection of tools making the design easier
"""
import sys
from functools import wraps
import itertools
# replace the common range by the generator
try:
range = xrange
except NameError:
pass
__all__ = [
"generator",
"chunks",
"isNestedInstance",
"type_checker",
"nbyte... | BEAST-FittingREPO_NAMEbeastPATH_START.@beast_extracted@beast-master@beast@tools@helpers.py@.PATH_END.py |
{
"filename": "UPGRADES.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/restricted/abseil-cpp/UPGRADES.md",
"type": "Markdown"
} | # C++ Upgrade Tools
Abseil may occasionally release API-breaking changes. As noted in our
[Compatibility Guidelines][compatibility-guide], we will aim to provide a tool
to do the work of effecting such API-breaking changes, when absolutely
necessary.
These tools will be listed on the [C++ Upgrade Tools][upgrade-tools... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@restricted@abseil-cpp@UPGRADES.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "yulongzh/SPEMR",
"repo_path": "SPEMR_extracted/SPEMR-main/README.md",
"type": "Markdown"
} | # SPEMR
the source code and dataset of SPEMR model
| yulongzhREPO_NAMESPEMRPATH_START.@SPEMR_extracted@SPEMR-main@README.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "SatoshiHamano/WARP",
"repo_path": "WARP_extracted/WARP-main/README.md",
"type": "Markdown"
} | # WARP
WINERED Automatic Reduction Pipeline
## What is WARP?
The pipeline software to reduce the astronomical spectroscopic data obtained with NIR high-resolution echelle spectrograph, WINERED. WARP is written with Python.
## How to install?
Using git:
`git clone https://github.com/SatoshiHamano/WARP`
WARP can als... | SatoshiHamanoREPO_NAMEWARPPATH_START.@WARP_extracted@WARP-main@README.md@.PATH_END.py |
{
"filename": "random.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/torch/random.py",
"type": "Python"
} | import torch
import torch._dynamo as dynamo
import torch.nn.functional as tnn
from keras.src.backend.config import floatx
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.backend.torch.core import get_device
from keras.src.backend.torch.core import to_torch_dtype
from keras.src.random.seed_gen... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@torch@random.py@.PATH_END.py |
{
"filename": "_thicknessmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choroplethmapbox/colorbar/_thicknessmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="thicknessmode",
parent_name="choroplethmapbox.colorbar",
**kwargs
):
super(ThicknessmodeValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choroplethmapbox@colorbar@_thicknessmode.py@.PATH_END.py |
{
"filename": "_uid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/_uid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="histogram2d", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@_uid.py@.PATH_END.py |
{
"filename": "grb_transient_metric.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/maf_contrib/grb_transient_metric.py",
"type": "Python"
} | __all__ = ("GRBTransientMetric",)
import numpy as np
import rubin_sim.maf.metrics as metrics
# Gamma-ray burst afterglow metric
# ebellm@caltech.edu
class GRBTransientMetric(metrics.BaseMetric):
"""Evaluate the likelihood of detecting a GRB optical counterpart.
Detections for an on-axis GRB afterglows de... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@maf_contrib@grb_transient_metric.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "jpcoles/mosaic",
"repo_path": "mosaic_extracted/mosaic-master/README.md",
"type": "Markdown"
} | # mosaic
Multipole Operators in Symbols, Automatically Improved and Condensed
| jpcolesREPO_NAMEmosaicPATH_START.@mosaic_extracted@mosaic-master@README.md@.PATH_END.py |
{
"filename": "overpressure2.py",
"repo_name": "wmpg/Supracenter",
"repo_path": "Supracenter_extracted/Supracenter-master/supra/Geminus/overpressure2.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import scipy
from supra.Utils.Classes import Constants, Position
from supra.Utils.Formatting import *
c = Constants()
# function [dp,dpws,dpratio,tau,tauws,Z,td,talt,Ro] = overpressureihmod_Ro(meteor,stn,Ro,v,theta,dphi,atmos,sw);
def overpressureihmod_Ro(meteor, s... | wmpgREPO_NAMESupracenterPATH_START.@Supracenter_extracted@Supracenter-master@supra@Geminus@overpressure2.py@.PATH_END.py |
{
"filename": "arrays.py",
"repo_name": "MikeSWang/Harmonia",
"repo_path": "Harmonia_extracted/Harmonia-master/harmonia/algorithms/arrays.py",
"type": "Python"
} | """
Structured arrays (:mod:`~harmonia.algorithms.arrays`)
===========================================================================
Provide structured arrays for cosmological data.
.. autosummary::
DataArray
SphericalArray
CartesianArray
|
"""
from collections.abc import Sequence
from itertools impo... | MikeSWangREPO_NAMEHarmoniaPATH_START.@Harmonia_extracted@Harmonia-master@harmonia@algorithms@arrays.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "sbi-dev/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/analysis/plot.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
import collections
import copy
import logging
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, cast
from warnings import warn
import... | sbi-devREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@analysis@plot.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scattercarpet/marker/_line.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Line(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattercarpet.marker"
_path_str = "scattercarpet.marker.line"
_valid_props = {
"autoco... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scattercarpet@marker@_line.py@.PATH_END.py |
{
"filename": "_griddash.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/polar/radialaxis/_griddash.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GriddashValidator(_plotly_utils.basevalidators.DashValidator):
def __init__(
self, plotly_name="griddash", parent_name="layout.polar.radialaxis", **kwargs
):
super(GriddashValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@polar@radialaxis@_griddash.py@.PATH_END.py |
{
"filename": "_usecolormap.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/contours/y/_usecolormap.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UsecolormapValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="usecolormap", parent_name="surface.contours.y", **kwargs
):
super(UsecolormapValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@contours@y@_usecolormap.py@.PATH_END.py |
{
"filename": "histogram_splitter.py",
"repo_name": "minzastro/unidam",
"repo_path": "unidam_extracted/unidam-master/unidam/core/histogram_splitter.py",
"type": "Python"
} | from __future__ import division
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import absolute_import
from builtins import range
from future import standard_library
import numpy as np
from scipy.signal import argrelextrema
standard_library.install_aliases()
def histogram... | minzastroREPO_NAMEunidamPATH_START.@unidam_extracted@unidam-master@unidam@core@histogram_splitter.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sblunt/orbitize",
"repo_path": "orbitize_extracted/orbitize-main/orbitize/__init__.py",
"type": "Python"
} | import os
__version__ = "3.1.0"
# set Python env variable to keep track of example data dir
orbitize_dir = os.path.dirname(__file__)
DATADIR = os.path.join(orbitize_dir, "example_data/")
# Detect a valid CUDA environment
try:
import pycuda.driver as cuda
import pycuda.autoinit
from pycuda.compiler import... | sbluntREPO_NAMEorbitizePATH_START.@orbitize_extracted@orbitize-main@orbitize@__init__.py@.PATH_END.py |
{
"filename": "intrinsics.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pythran/pythran/analyses/intrinsics.py",
"type": "Python"
} | """ Intrinsics gathers all intrinsics referenced in a module. """
from pythran.passmanager import ModuleAnalysis
import pythran.intrinsic as intrinsic
from pythran.utils import attr_to_path
class Intrinsics(ModuleAnalysis):
""" Gather all intrinsics used in the module
"""
def __init__(self):
""... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pythran@pythran@analyses@intrinsics.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/colorbar/tickfont/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._variant import VariantValidator
from ._textcase import TextcaseValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._shadow impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contour@colorbar@tickfont@__init__.py@.PATH_END.py |
{
"filename": "_cmax.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/marker/line/_cmax.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmax", parent_name="scatter3d.marker.line", **kwargs
):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@marker@line@_cmax.py@.PATH_END.py |
{
"filename": "_fixedrange.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/yaxis/_fixedrange.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="fixedrange", parent_name="layout.yaxis", **kwargs):
super(FixedrangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@yaxis@_fixedrange.py@.PATH_END.py |
{
"filename": "simrephtml.py",
"repo_name": "wokast/PyCactus",
"repo_path": "PyCactus_extracted/PyCactus-master/SimRep/simrep/simrephtml.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import unicode_literals
from builtins import str
from builtins import filter
from builtins import object
import os
import shutil
from .htmlfactory import *
class RepNav(object):
def __init__(self, name, secs):
self.name = name
sel... | wokastREPO_NAMEPyCactusPATH_START.@PyCactus_extracted@PyCactus-master@SimRep@simrep@simrephtml.py@.PATH_END.py |
{
"filename": "preds_analysis_uce.py",
"repo_name": "devinamhn/RadioGalaxies-BNNs",
"repo_path": "RadioGalaxies-BNNs_extracted/RadioGalaxies-BNNs-main/radiogalaxies_bnns/eval/uncertainty/preds_analysis_uce.py",
"type": "Python"
} | import torch
import hamiltorch
import torch.nn as nn
import torch.nn.functional as F
from pathlib import Path
import numpy as np
import torchvision.transforms as transforms
from torchvision import datasets
from torchvision.transforms import InterpolationMode
from pytorch_lightning.demos.mnist_datamodule import MNIST
... | devinamhnREPO_NAMERadioGalaxies-BNNsPATH_START.@RadioGalaxies-BNNs_extracted@RadioGalaxies-BNNs-main@radiogalaxies_bnns@eval@uncertainty@preds_analysis_uce.py@.PATH_END.py |
{
"filename": "C_halo_special_target_list.ipynb",
"repo_name": "ChrisBoettner/plato",
"repo_path": "plato_extracted/plato-main/notebooks/C_halo_special_target_list.ipynb",
"type": "Jupyter Notebook"
} | ```python
import pandas as pd
from astropy import units as u
from astropy.coordinates import SkyCoord
from plato.stars import filter_p1_targets, filter_valid_targets
from plato.utils import get_abspath
```
[91mA new version of galpy (1.10.0) is available, please upgrade using pip/conda/... to get the latest feat... | ChrisBoettnerREPO_NAMEplatoPATH_START.@plato_extracted@plato-main@notebooks@C_halo_special_target_list.ipynb@.PATH_END.py |
{
"filename": "PIDOptimizer.py",
"repo_name": "jacotay7/pyRTC",
"repo_path": "pyRTC_extracted/pyRTC-main/pyRTC/hardware/PIDOptimizer.py",
"type": "Python"
} | from pyRTC.utils import *
from pyRTC.Pipeline import *
from pyRTC.Optimizer import *
import numpy as np
class PIDOptimizer(Optimizer):
def __init__(self, conf, loop) -> None:
self.loop = loop
self.mode = 'strehl'
self.strehlShm, _, _ = initExistingShm("strehl")
self.tipT... | jacotay7REPO_NAMEpyRTCPATH_START.@pyRTC_extracted@pyRTC-main@pyRTC@hardware@PIDOptimizer.py@.PATH_END.py |
{
"filename": "test_instrument.py",
"repo_name": "ExObsSim/ExoRad2-public",
"repo_path": "ExoRad2-public_extracted/ExoRad2-public-master/tests/test_instrument.py",
"type": "Python"
} | import logging
import os
import pathlib
import unittest
import h5py
from test_options import payload_file
from exorad.log import setLogLevel
from exorad.models.instruments import Photometer
from exorad.models.instruments import Spectrometer
from exorad.output.hdf5 import HDF5Output
from exorad.tasks import MergeChann... | ExObsSimREPO_NAMEExoRad2-publicPATH_START.@ExoRad2-public_extracted@ExoRad2-public-master@tests@test_instrument.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/marker/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._widthsrc import WidthsrcValidator
from ._width import WidthValidator
from ._reversescale import ReversescaleValidator
from ._colorsrc import ColorsrcValidator
from ._colorscale import ColorscaleValidat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@marker@line@__init__.py@.PATH_END.py |
{
"filename": "get_aux_data.py",
"repo_name": "LSSTDESC/lsstdesc-diffsky",
"repo_path": "lsstdesc-diffsky_extracted/lsstdesc-diffsky-main/lsstdesc_diffsky/validation/get_aux_data.py",
"type": "Python"
} | import os
import re
import numpy as np
from astropy.table import Table
cosmos_dir = '/lus/eagle/projects/LastJourney/kovacs/COSMOS2020'
restcolor_dir = '/lus/eagle/projects/LastJourney/kovacs/ValidationData/RestColorData'
def get_data(restcolor_dir=restcolor_dir, cosmos_dir=cosmos_dir):
aux_data = add_rest_color... | LSSTDESCREPO_NAMElsstdesc-diffskyPATH_START.@lsstdesc-diffsky_extracted@lsstdesc-diffsky-main@lsstdesc_diffsky@validation@get_aux_data.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/tests/logprob/__init__.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@tests@logprob@__init__.py@.PATH_END.py |
{
"filename": "_heatmapgl.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/template/data/_heatmapgl.py",
"type": "Python"
} | from plotly.graph_objs import Heatmapgl
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@template@data@_heatmapgl.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/slider/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="font", parent_name="layout.slider", **kwargs):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@slider@_font.py@.PATH_END.py |
{
"filename": "airglow.py",
"repo_name": "spacetelescope/calcos",
"repo_path": "calcos_extracted/calcos-master/calcos/airglow.py",
"type": "Python"
} | from __future__ import absolute_import, print_function
from . import cosutil
from . import dispersion
from .calcosparam import * # parameter definitions
# Half width (pixels) of airglow region to be excluded.
AIRGLOW_LyA = 250. # Lyman alpha
AIRGLOW_FUV = 100. # anything but Lyman alpha, but still FUV
... | spacetelescopeREPO_NAMEcalcosPATH_START.@calcos_extracted@calcos-master@calcos@airglow.py@.PATH_END.py |
{
"filename": "plot_convergence_bondi.py",
"repo_name": "AFD-Illinois/iharm3d",
"repo_path": "iharm3d_extracted/iharm3d-master/script/test/convergence/plot_convergence_bondi.py",
"type": "Python"
} | ################################################################################
# #
# BONDI INFLOW CONVERGENCE PLOTS #
# ... | AFD-IllinoisREPO_NAMEiharm3dPATH_START.@iharm3d_extracted@iharm3d-master@script@test@convergence@plot_convergence_bondi.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/sunburst/marker/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._colorbar import ColorBar
from ._line import Line
from ._pattern import Pattern
from . import colorbar
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = rela... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@sunburst@marker@__init__.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/unselected/marker/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="scatter.unselected.marker", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter@unselected@marker@_size.py@.PATH_END.py |
{
"filename": "_ticklabelposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/colorbar/_ticklabelposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklabelpositionValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="ticklabelposition",
parent_name="isosurface.colorbar",
**kwargs,
):
super(TicklabelpositionValidator, self).__init__(... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@colorbar@_ticklabelposition.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scatterpolar/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatterpolar"
_path_str = "scatterpolar.textfont"
_valid_props = {"color", "colorsrc", "fa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scatterpolar@_textfont.py@.PATH_END.py |
{
"filename": "test_inverse_cdf.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/utils/random/tests/test_inverse_cdf.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
import scipy.stats as stats
from numpy.testing import assert_allclose
from gammapy.utils.random import InverseCDFSampler
def uniform_dist(x, a, b):
return np.select([x <= a, x >= b], [0, 0], 1 / (b - a))
def gauss_dist(x, mu, sig... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@utils@random@tests@test_inverse_cdf.py@.PATH_END.py |
{
"filename": "_textsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmapbox/_textsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="textsrc", parent_name="choroplethmapbox", **kwargs):
super(TextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmapbox@_textsrc.py@.PATH_END.py |
{
"filename": "test_linear.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/tests/python/test_linear.py",
"type": "Python"
} | from hypothesis import given, note, settings, strategies
import xgboost as xgb
from xgboost import testing as tm
pytestmark = tm.timeout(20)
parameter_strategy = strategies.fixed_dictionaries({
'booster': strategies.just('gblinear'),
'eta': strategies.floats(0.01, 0.25),
'tolerance': strategies.floats(1... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@tests@python@test_linear.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Cosmo/__init__.py",
"type": "Python"
} | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Cosmo@__init__.py@.PATH_END.py | |
{
"filename": "eventwrapper.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/eventwrapper.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
# chimera - observatory automation system
# Copyright (C) 2006-2007 P. Henrique Silva <henrique@astro.ufsc.br>
# 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 S... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@eventwrapper.py@.PATH_END.py |
{
"filename": "test__basinhopping.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/optimize/tests/test__basinhopping.py",
"type": "Python"
} | """
Unit tests for the basin hopping global minimization algorithm.
"""
from __future__ import division, print_function, absolute_import
import copy
from numpy.testing import assert_almost_equal, assert_equal, assert_
from pytest import raises as assert_raises
import numpy as np
from numpy import cos, sin
from scipy.... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@optimize@tests@test__basinhopping.py@.PATH_END.py |
{
"filename": "learnlet_training.py",
"repo_name": "utsav-akhaury/understanding-unets",
"repo_path": "understanding-unets_extracted/understanding-unets-master/learning_wavelets/training_scripts/learnlet_training.py",
"type": "Python"
} | import os
import os.path as op
import time
import click
from tensorflow.keras.callbacks import TensorBoard, ModelCheckpoint, LearningRateScheduler
import tensorflow as tf
from learning_wavelets.config import LOGS_DIR, CHECKPOINTS_DIR
from learning_wavelets.data.datasets import im_dataset_div2k, im_dataset_bsd500
from... | utsav-akhauryREPO_NAMEunderstanding-unetsPATH_START.@understanding-unets_extracted@understanding-unets-master@learning_wavelets@training_scripts@learnlet_training.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "nickhand/pyRSD",
"repo_path": "pyRSD_extracted/pyRSD-master/pyRSD/rsdfit/plotly/__init__.py",
"type": "Python"
} | try:
import plotly.offline as py
import plotly.graph_objs as go
import plotly.tools as pytools
except ImportError as e:
raise ImportError("install 'plotly' to use interactive plotting features")
def enable_latex():
"""
A workaround in :mod:`plotly` where latex labels are broken in notebooks.
... | nickhandREPO_NAMEpyRSDPATH_START.@pyRSD_extracted@pyRSD-master@pyRSD@rsdfit@plotly@__init__.py@.PATH_END.py |
{
"filename": "_showexponent.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolargl/marker/colorbar/_showexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showexponent",
parent_name="scatterpolargl.marker.colorbar",
**kwargs
):
super(ShowexponentValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolargl@marker@colorbar@_showexponent.py@.PATH_END.py |
{
"filename": "map_defun.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/data/experimental/ops/map_defun.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@data@experimental@ops@map_defun.py@.PATH_END.py |
{
"filename": "bouwens2017.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/input/litdata/bouwens2017.py",
"type": "Python"
} | """
Bouwens et al., 2017, ApJ, 843, 129
Table 4 and volume estimate from text.
"""
info = \
{
'reference': 'Bouwens et al., 2017, ApJ, 843, 129',
'data': 'Table 5',
'label': 'Bouwens+ (2017)'
}
import numpy as np
redshifts = [6.]
wavelength = 1600. # I think?
ULIM = -1e10
tmp_data = {}
tmp_data['lf'] = \
{
... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@input@litdata@bouwens2017.py@.PATH_END.py |
{
"filename": "securitymethods.py",
"repo_name": "astropy/pyvo",
"repo_path": "pyvo_extracted/pyvo-main/pyvo/auth/securitymethods.py",
"type": "Python"
} | ANONYMOUS = 'anonymous'
BASIC = 'ivo://ivoa.net/sso#BasicAA'
CLIENT_CERTIFICATE = 'ivo://ivoa.net/sso#tls-with-certificate'
COOKIE = 'ivo://ivoa.net/sso#cookie'
| astropyREPO_NAMEpyvoPATH_START.@pyvo_extracted@pyvo-main@pyvo@auth@securitymethods.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "ahmedfgad/GeneticAlgorithmPython",
"repo_path": "GeneticAlgorithmPython_extracted/GeneticAlgorithmPython-master/setup.py",
"type": "Python"
} | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="pygad",
version="3.3.1",
author="Ahmed Fawzy Gad",
install_requires=["numpy", "matplotlib", "cloudpickle",],
author_email="ahmed.f.gad@gmail.com",
description="PyGAD: A Pytho... | ahmedfgadREPO_NAMEGeneticAlgorithmPythonPATH_START.@GeneticAlgorithmPython_extracted@GeneticAlgorithmPython-master@setup.py@.PATH_END.py |
{
"filename": "pyright_diff.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/scripts/pyright_diff.py",
"type": "Python"
} | import json
import sys
from typing import Any, Dict, NamedTuple
class Diagnostic(NamedTuple):
"""Structured representation of a diagnostic for easier table formatting."""
file: str
line: int
character: int
severity: str
message: str
def normalize_diagnostic(diagnostic: Dict[Any, Any]) -> Di... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@scripts@pyright_diff.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sbi-dev/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/inference/trainers/npe/__init__.py",
"type": "Python"
} | from sbi.inference.trainers.npe.npe_a import NPE_A # noqa: F401
from sbi.inference.trainers.npe.npe_b import NPE_B # noqa: F401
from sbi.inference.trainers.npe.npe_base import PosteriorEstimator # noqa: F401
from sbi.inference.trainers.npe.npe_c import NPE_C # noqa: F401
SNPE_A = NPE_A
SNPE_B = NPE_C
SNPE_C = SNPE... | sbi-devREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@inference@trainers@npe@__init__.py@.PATH_END.py |
{
"filename": "generate_Pk_example.py",
"repo_name": "yacobozdalkiran/CLASS_mod",
"repo_path": "CLASS_mod_extracted/CLASS_mod-main/class_public-master/external/external_Pk/generate_Pk_example.py",
"type": "Python"
} | #!/usr/bin/python
from __future__ import print_function
import sys
from math import exp
# README:
#
# This is an example python script for the external_Pk mode of Class.
# It generates the primordial spectrum of LambdaCDM.
# It can be edited and used directly, though keeping a copy of it is recommended.
#
# Two (maybe... | yacobozdalkiranREPO_NAMECLASS_modPATH_START.@CLASS_mod_extracted@CLASS_mod-main@class_public-master@external@external_Pk@generate_Pk_example.py@.PATH_END.py |
{
"filename": "run_and_gather_logs_lib.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/tools/test/run_and_gather_logs_lib.py",
"type": "Python"
} | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@tools@test@run_and_gather_logs_lib.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "Pranab-JD/iPIC3D-CPU-SPACE-CoE",
"repo_path": "iPIC3D-CPU-SPACE-CoE_extracted/iPIC3D-CPU-SPACE-CoE-main/README.md",
"type": "Markdown"
} | # iPIC3D
## Requirements
- gcc/g++ compiler
- cmake (minimum version 2.8)
- MPI (OpenMPI or MPICH)
- HDF5 (optional)
- Paraview/Catalyst (optional)
If you are on a supercomputer or cluster, it's highly possible that you can use tools like `module` to change the compiler, MPI or libraries used.
## Installat... | Pranab-JDREPO_NAMEiPIC3D-CPU-SPACE-CoEPATH_START.@iPIC3D-CPU-SPACE-CoE_extracted@iPIC3D-CPU-SPACE-CoE-main@README.md@.PATH_END.py |
{
"filename": "CompatibleDifferenceSpecificThermalEnergyPolicyInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/Hydro/CompatibleDifferenceSpecificThermalEnergyPolicyInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "Geometry/Dimension.hh"
#include "Hydro/CompatibleDifferenceSpecificThermalEnergyPolicy.cc"
namespace Spheral ... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@Hydro@CompatibleDifferenceSpecificThermalEnergyPolicyInst.cc.py@.PATH_END.py |
{
"filename": "Generator.py",
"repo_name": "COSMOGRAIL/PyCS",
"repo_path": "PyCS_extracted/PyCS-master/pycs/sim/old/Generator.py",
"type": "Python"
} | """
Generate simulated light curve with the PureLightCurve
"""
from PureLightCurve import *
from SimLightCurve import *
from MlCurve import *
from util import *
import sys
sys.path.append("../../")
from pycs.gen import lc
class Generator:
"""
This class is the main class of this program, it takes a pure light curv... | COSMOGRAILREPO_NAMEPyCSPATH_START.@PyCS_extracted@PyCS-master@pycs@sim@old@Generator.py@.PATH_END.py |
{
"filename": "image_data_new.py",
"repo_name": "sibirrer/AstroObjectAnalyser",
"repo_path": "AstroObjectAnalyser_extracted/AstroObjectAnalyser-master/astroObjectAnalyser/image_data_new.py",
"type": "Python"
} | __author__ = 'sibirrer'
#external modules
import astropy.io.fits as pyfits
import astropy.wcs as pywcs
import numpy as np
import pyextract.image_config as ImageConfig
import astropy.coordinates as coords
#internal modules
from astroObjectAnalyser.DataAnalysis.analysis import Analysis
from astroObjectAnalyser.DataAna... | sibirrerREPO_NAMEAstroObjectAnalyserPATH_START.@AstroObjectAnalyser_extracted@AstroObjectAnalyser-master@astroObjectAnalyser@image_data_new.py@.PATH_END.py |
{
"filename": "_increasing.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/ohlc/_increasing.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Increasing(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "ohlc"
_path_str = "ohlc.increasing"
_valid_props = {"line"}
# line
# ----
@... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@ohlc@_increasing.py@.PATH_END.py |
{
"filename": "correct_files.py",
"repo_name": "saltastro/polsalt",
"repo_path": "polsalt_extracted/polsalt-master/scripts/correct_files.py",
"type": "Python"
} | import os
import sys
import copy
import numpy as np
from astropy.io import fits
polsaltdir = '/'.join(os.path.realpath(__file__).split('/')[:-2])
datadir = polsaltdir+'/polsalt/data/'
sys.path.extend((polsaltdir+'/polsalt/',))
from specpolwollaston import correct_wollaston, read_wollaston
def correct_files(hdu,tilt=... | saltastroREPO_NAMEpolsaltPATH_START.@polsalt_extracted@polsalt-master@scripts@correct_files.py@.PATH_END.py |
{
"filename": "_opacitysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/barpolar/marker/_opacitysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacitysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="opacitysrc", parent_name="barpolar.marker", **kwargs
):
super(OpacitysrcValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@barpolar@marker@_opacitysrc.py@.PATH_END.py |
{
"filename": "treering_skybg2.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/devel/lsst/treering_skybg2.py",
"type": "Python"
} | # Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or w... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@devel@lsst@treering_skybg2.py@.PATH_END.py |
{
"filename": "check_group_membership.py",
"repo_name": "SWIFTSIM/SOAP",
"repo_path": "SOAP_extracted/SOAP-master/check_group_membership.py",
"type": "Python"
} | #!/bin/env python
import os
import sys
import numpy as np
import h5py
import virgo.mpi.parallel_sort as psort
import virgo.mpi.parallel_hdf5 as phdf5
from mpi4py import MPI
comm = MPI.COMM_WORLD
comm_size = comm.Get_size()
comm_rank = comm.Get_rank()
def check_membership(
membership_filenames,
nr_memb_fil... | SWIFTSIMREPO_NAMESOAPPATH_START.@SOAP_extracted@SOAP-master@check_group_membership.py@.PATH_END.py |
{
"filename": "array_like.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/typing/tests/data/pass/array_like.py",
"type": "Python"
} | from __future__ import annotations
from typing import Any, TYPE_CHECKING
import numpy as np
if TYPE_CHECKING:
from numpy._typing import NDArray, ArrayLike, _SupportsArray
x1: ArrayLike = True
x2: ArrayLike = 5
x3: ArrayLike = 1.0
x4: ArrayLike = 1 + 1j
x5: ArrayLike = np.int8(1)
x6: ArrayLike = np.float64(1)
x7... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@typing@tests@data@pass@array_like.py@.PATH_END.py |
{
"filename": "SECURITY.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/libs/protobuf/SECURITY.md",
"type": "Markdown"
} | To report security concerns or vulnerabilities within protobuf, please use
Google's official channel for reporting these.
https://www.google.com/appserve/security-bugs/m2/new
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@libs@protobuf@SECURITY.md@.PATH_END.py |
{
"filename": "python_net_approx.ipynb",
"repo_name": "pynucastro/pynucastro",
"repo_path": "pynucastro_extracted/pynucastro-main/examples/python_net_approx.ipynb",
"type": "Jupyter Notebook"
} | ```python
import pynucastro as pyna
```
```python
reaclib_lib = pyna.ReacLibLibrary()
```
```python
all_reactants = ["p",
"he4", "c12", "o16", "ne20", "mg24", "si28", "s32",
"ar36", "ca40", "ti44", "cr48", "fe52", "ni56",
"al27", "p31", "cl35", "k39", "sc43", "v47"... | pynucastroREPO_NAMEpynucastroPATH_START.@pynucastro_extracted@pynucastro-main@examples@python_net_approx.ipynb@.PATH_END.py |
{
"filename": "test_channelizer.ipynb",
"repo_name": "MazinLab/MKIDGen3",
"repo_path": "MKIDGen3_extracted/MKIDGen3-main/notebooks/old/test_channelizer.ipynb",
"type": "Jupyter Notebook"
} | # Imports, Definitions, and Instantiating the overlay
```python
from mkidgen3.daccomb import generate as gen_comb
from mkidgen3.testutils import *
import mkidgen3.testutils as tu
from mkidgen3.fixedpoint import *
from mkidgen3.pynq import dma_status ## also activates the drivers
import logging
import numpy as np
imp... | MazinLabREPO_NAMEMKIDGen3PATH_START.@MKIDGen3_extracted@MKIDGen3-main@notebooks@old@test_channelizer.ipynb@.PATH_END.py |
{
"filename": "subscriptions.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/client/subscriptions.py",
"type": "Python"
} | import asyncio
from collections.abc import Iterable
from logging import Logger
from typing import Any, Generic, Optional, TypeVar
import orjson
import websockets
import websockets.exceptions
from starlette.status import WS_1008_POLICY_VIOLATION
from typing_extensions import Self
from prefect._internal.schemas.bases i... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@client@subscriptions.py@.PATH_END.py |
{
"filename": "_namelengthsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/hoverlabel/_namelengthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="namelengthsrc", parent_name="choropleth.hoverlabel", **kwargs
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@hoverlabel@_namelengthsrc.py@.PATH_END.py |
{
"filename": "smith_kcorr.py",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/py/LSS/DESI_ke/smith_kcorr.py",
"type": "Python"
} | import os
import numpy as np
import matplotlib.pyplot as plt
import os
from scipy.interpolate import interp1d
from pkg_resources import resource_filename
raw_dir = os.environ['CODE_ROOT'] + '/data/'
class GAMA_KCorrection(object):
def __init__(self, band, kind="linear"):
"""
Colou... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@py@LSS@DESI_ke@smith_kcorr.py@.PATH_END.py |
{
"filename": "astropy-bls-tutorial-checkpoint.ipynb",
"repo_name": "noraeisner/LATTE",
"repo_path": "LATTE_extracted/LATTE-master/.ipynb_checkpoints/astropy-bls-tutorial-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```
%matplotlib inline
%config IPython.matplotlib.backend = "retina"
from matplotlib import rcParams
rcParams["figure.dpi"] = 150
rcParams["savefig.dpi"] = 150
```
In this tutorial, we will demonstrate the usage patterns for the `astropy.stats.bls` package.
To run this tutorial, you need to install the `transit-period... | noraeisnerREPO_NAMELATTEPATH_START.@LATTE_extracted@LATTE-master@.ipynb_checkpoints@astropy-bls-tutorial-checkpoint.ipynb@.PATH_END.py |
{
"filename": "gc_runfit.py",
"repo_name": "GalacticDynamics-Oxford/Agama",
"repo_path": "Agama_extracted/Agama-master/py/gc_runfit.py",
"type": "Python"
} | #!/usr/bin/env python
'''
This file is part of the Gaia Challenge, and contains the main fitting routine.
The Gaia Challenge (or, more specifically, the "Spherical and triaxial" group)
presents the following task:
infer the gravitational potential, created entirely by the dark matter,
from the array of discrete tracer... | GalacticDynamics-OxfordREPO_NAMEAgamaPATH_START.@Agama_extracted@Agama-master@py@gc_runfit.py@.PATH_END.py |
{
"filename": "_tickwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/marker/colorbar/_tickwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="tickwidth",
parent_name="scatterternary.marker.colorbar",
**kwargs,
):
super(TickwidthValidator, self).__init__(
plot... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@marker@colorbar@_tickwidth.py@.PATH_END.py |
{
"filename": "hod_modeling_tutorial5.ipynb",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/docs/notebooks/hod_modeling/hod_modeling_tutorial5.ipynb",
"type": "Jupyter Notebook"
} | # Example 5: An HOD model with cross-component dependencies
This notebook is intended to accompany the corresponding page of the Halotools documentation on HOD-style model building. Although the tutorial on `halotools.readthedocs.io` is in principle comprehensive and stand-alone, there is supplementary material cover... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@docs@notebooks@hod_modeling@hod_modeling_tutorial5.ipynb@.PATH_END.py |
{
"filename": "archival.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/ChiantiPy/tools/archival.py",
"type": "Python"
} | """
Functions for reading pre-v8 CHIANTI files
"""
import os
#from .FortranFormat import *
from ChiantiPy.fortranformat import FortranRecordReader
import ChiantiPy.tools.util as util
#
# -------------------------------------------------------------------------------------
#
def elvlcRead(ions, filename =... | tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@ChiantiPy@tools@archival.py@.PATH_END.py |
{
"filename": "_traceref.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/error_z/_traceref.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TracerefValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="traceref", parent_name="scatter3d.error_z", **kwargs
):
super(TracerefValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@error_z@_traceref.py@.PATH_END.py |
{
"filename": "_labelpadding.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/aaxis/_labelpadding.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LabelpaddingValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="labelpadding", parent_name="carpet.aaxis", **kwargs
):
super(LabelpaddingValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@aaxis@_labelpadding.py@.PATH_END.py |
{
"filename": "TT_lite.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/planck_2018_highl_plik/TT_lite.py",
"type": "Python"
} | from cobaya.likelihoods.base_classes import Planck2018Clik
class TT_lite(Planck2018Clik):
r"""
High-$\ell$ temperature-only, foreground-marginalized \textsc{plik\_lite} likelihood
of Planck's 2018 data release \cite{Aghanim:2019ame}.
"""
pass
| ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@planck_2018_highl_plik@TT_lite.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="scattercarpet.marker", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@_colorsrc.py@.PATH_END.py |
{
"filename": "DASpec_reduce.py",
"repo_name": "PuDu-Astro/DASpec",
"repo_path": "DASpec_extracted/DASpec-master/DASpec_reduce.py",
"type": "Python"
} | #!/usr/bin/env python
def DASpec_reduce(filename):
l = open(filename).readlines()
sep = [i[0] for i in zip(range(len(l)), l) if '####' in i[1]]
name = [l[1 + i[0]].replace('\n', '') for i in zip(range(len(l)), l) if '####' in i[1]]
name_only = set(name)
name_only = list(name_only)
sep_name = zi... | PuDu-AstroREPO_NAMEDASpecPATH_START.@DASpec_extracted@DASpec-master@DASpec_reduce.py@.PATH_END.py |
{
"filename": "show_refs.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py2/IPython/testing/plugin/show_refs.py",
"type": "Python"
} | """Simple script to show reference holding behavior.
This is used by a companion test case.
"""
from __future__ import print_function
import gc
class C(object):
def __del__(self):
pass
#print 'deleting object...' # dbg
if __name__ == '__main__':
c = C()
c_refs = gc.get_referrers(c)
ref_ids... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py2@IPython@testing@plugin@show_refs.py@.PATH_END.py |
{
"filename": "SNRtools.py",
"repo_name": "CosmoStatGW/DarkSirensStat",
"repo_path": "DarkSirensStat_extracted/DarkSirensStat-master/DarkSirensStat/SNRtools.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 24 12:56:37 2021
@author: Michi
"""
import numpy as np
import time
import pycbc.waveform
import pycbc.filter
import pycbc.psd
from pycbc.types import FrequencySeries
from scipy.signal import savgol_filter
import h5py
from scipy.interpolate import R... | CosmoStatGWREPO_NAMEDarkSirensStatPATH_START.@DarkSirensStat_extracted@DarkSirensStat-master@DarkSirensStat@SNRtools.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "danhey/echelle",
"repo_path": "echelle_extracted/echelle-master/docs/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# http://www.sphinx-doc.org/en/master/config
# -- Path setup --------------------------------------------------------------
# If extensions (or module... | danheyREPO_NAMEechellePATH_START.@echelle_extracted@echelle-master@docs@conf.py@.PATH_END.py |
{
"filename": "paper.md",
"repo_name": "ali-beheshti/Astro-Paint",
"repo_path": "Astro-Paint_extracted/Astro-Paint-master/paper/paper.md",
"type": "Markdown"
} | ---
title: 'AstroPaint: A Python Package for Painting Halo Catalogs into
Celestial Maps'
tags:
- python
- astrophysics
- simulation
- visualization
- extragalactic foregrounds
authors:
- name: Siavash Yasini^[corresponding author]
orcid: 0000-0003-1978-6325
affiliation: 1
- name: Marcelo Alvarez... | ali-beheshtiREPO_NAMEAstro-PaintPATH_START.@Astro-Paint_extracted@Astro-Paint-master@paper@paper.md@.PATH_END.py |
{
"filename": "data_operations.py",
"repo_name": "bcalden/ClusterPyXT",
"repo_path": "ClusterPyXT_extracted/ClusterPyXT-master/data_operations.py",
"type": "Python"
} | import numpy as np
def normalize_data(image: np.ndarray):
image = np.nan_to_num(image)
normalized_image = (image - image.min()) / (image.max() - image.min())
return normalized_image
def make_sizes_match(image1, image2):
# quit early if the image shapes already match
if image1.shape == image2.sh... | bcaldenREPO_NAMEClusterPyXTPATH_START.@ClusterPyXT_extracted@ClusterPyXT-master@data_operations.py@.PATH_END.py |
{
"filename": "PULL_REQUEST_TEMPLATE.md",
"repo_name": "joshspeagle/dynesty",
"repo_path": "dynesty_extracted/dynesty-master/.github/PULL_REQUEST_TEMPLATE.md",
"type": "Markdown"
} | <!--
Thanks for contributing a pull request!
Before submitting a PR please take a look at the [CONTRIBUTING.md](CONTRIBUTING.md) page.
-->
### Reference issue
### What does you PR implement/fix ?
| joshspeagleREPO_NAMEdynestyPATH_START.@dynesty_extracted@dynesty-master@.github@PULL_REQUEST_TEMPLATE.md@.PATH_END.py |
{
"filename": "plot_adapt_rgb.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/doc/examples/color_exposure/plot_adapt_rgb.py",
"type": "Python"
} | """
=========================================
Adapting gray-scale filters to RGB images
=========================================
There are many filters that are designed to work with gray-scale images but not
with color images. To simplify the process of creating functions that can adapt
to RGB images, scikit-image p... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@doc@examples@color_exposure@plot_adapt_rgb.py@.PATH_END.py |
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