metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "vars_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/distribute/vars_test.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@distribute@vars_test.py@.PATH_END.py |
{
"filename": "gp.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/gp/gp.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@pymc@gp@gp.py@.PATH_END.py |
{
"filename": "get_lds_with_errors_v1.py",
"repo_name": "delinea/LDCU",
"repo_path": "LDCU_extracted/LDCU-main/get_lds_with_errors_v1.py",
"type": "Python"
} | import os
import numpy as np
import matplotlib.pyplot as plt
import tqdm
from uncertainties import ufloat
from scipy.special import erf
from scipy.optimize import root_scalar
import get_lds as lds
def cdf_minus_quantile(x, q, distribs, weights):
cdf = 0
for d, w in zip(distribs, weights):
cdf += .5*(1... | delineaREPO_NAMELDCUPATH_START.@LDCU_extracted@LDCU-main@get_lds_with_errors_v1.py@.PATH_END.py |
{
"filename": "build.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/third_party/xla/build_tools/ci/build.py",
"type": "Python"
} | #!/usr/bin/python3
# Copyright 2024 The OpenXLA Authors.
#
# 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 l... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@third_party@xla@build_tools@ci@build.py@.PATH_END.py |
{
"filename": "projection.py",
"repo_name": "KeplerGO/K2fov",
"repo_path": "K2fov_extracted/K2fov-master/K2fov/projection.py",
"type": "Python"
} | """This file defines the projection classes."""
try:
import matplotlib.pyplot as mp
except Exception:
pass
import numpy as np
from . import rotate
class Projection():
"""Base Projection class. Used for mapping ra and dec into
Euclidean space based on a given projection.
The primary reference for... | KeplerGOREPO_NAMEK2fovPATH_START.@K2fov_extracted@K2fov-master@K2fov@projection.py@.PATH_END.py |
{
"filename": "covariance_matrices.py",
"repo_name": "nathanchara/l1periodogram",
"repo_path": "l1periodogram_extracted/l1periodogram-master/l1periodogram_codes/covariance_matrices.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright 2020 Nathan Hara
#
# This file is part of the l1periodogram code.
#
# rvmodel 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 version 3 of the License, or
# (at your... | nathancharaREPO_NAMEl1periodogramPATH_START.@l1periodogram_extracted@l1periodogram-master@l1periodogram_codes@covariance_matrices.py@.PATH_END.py |
{
"filename": "scann.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/vectorstores/scann.ipynb",
"type": "Jupyter Notebook"
} | # ScaNN
ScaNN (Scalable Nearest Neighbors) is a method for efficient vector similarity search at scale.
ScaNN includes search space pruning and quantization for Maximum Inner Product Search and also supports other distance functions such as Euclidean distance. The implementation is optimized for x86 processors with A... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@vectorstores@scann.ipynb@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/barpolar/legendgrouptitle/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="barpolar.legendgrouptitle.font",
**kwargs,
):
super(VariantValidator, self).__init__(
plotly... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@barpolar@legendgrouptitle@font@_variant.py@.PATH_END.py |
{
"filename": "Mspectrum.py",
"repo_name": "chianti-atomic/ChiantiPy",
"repo_path": "ChiantiPy_extracted/ChiantiPy-master/ChiantiPy/core/Mspectrum.py",
"type": "Python"
} | from datetime import datetime
import copy
import multiprocessing as mp
import numpy as np
import ChiantiPy.tools.data as chdata
import ChiantiPy.tools.util as util
import ChiantiPy.tools.filters as chfilters
import ChiantiPy.tools.io as chio
from ChiantiPy.base import ionTrails
from ChiantiPy.base import specTrails
i... | chianti-atomicREPO_NAMEChiantiPyPATH_START.@ChiantiPy_extracted@ChiantiPy-master@ChiantiPy@core@Mspectrum.py@.PATH_END.py |
{
"filename": "test_filter_core.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/tests/unit/pipeline/filter/test_filter_core.py",
"type": "Python"
} | import unittest, unittest.mock
from unittest.mock import patch
import psutil
import context
from filtercore import Filter
import re
class FilterTest(unittest.TestCase):
def test_sigterm_handler(self):
"""Test that the sigterm handler sets sigterm raised correctly"""
fltr = Filter(group_id='filte... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@tests@unit@pipeline@filter@test_filter_core.py@.PATH_END.py |
{
"filename": "hover.py",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/nannyml/plots/components/hover.py",
"type": "Python"
} | # Author: Niels Nuyttens <niels@nannyml.com>
# #
# License: Apache Software License 2.0
# Author: Niels Nuyttens <niels@nannyml.com>
#
# License: Apache Software License 2.0
import re
from typing import Callable, List, Optional, Union
import numpy as np
import pandas as pd
from nannyml.exceptions import I... | NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@nannyml@plots@components@hover.py@.PATH_END.py |
{
"filename": "orig_test_dmg_mc.py",
"repo_name": "FRBs/zdm",
"repo_path": "zdm_extracted/zdm-main/zdm/orig_tests/orig_test_dmg_mc.py",
"type": "Python"
} | """
Examines the effect of handling of Galactic DM
Uses Monte Carlo data for ICS generated for
DM_MW = 0,100,200,500 pc/cm3
(generate using ics_dmg_mc.py)
Runs agaist H0
Also outputs component likelihoods (p(z,DM),p(z|DM), etc)
Plots results.
"""
import pytest
from zdm import io
from zdm.craco import loading... | FRBsREPO_NAMEzdmPATH_START.@zdm_extracted@zdm-main@zdm@orig_tests@orig_test_dmg_mc.py@.PATH_END.py |
{
"filename": "simulationvariables.md",
"repo_name": "hannorein/REBOUND",
"repo_path": "REBOUND_extracted/REBOUND-main/docs/simulationvariables.md",
"type": "Markdown"
} | # Variables
The following example shows how to access variables in the simulation structure.
=== "C"
```c
struct reb_simulation* r = reb_simulation_create();
r->G = 1.0; // Set the gravitational constant
printf("%f\n", r->t); // print current simulation time
```
=== "Python"
```... | hannoreinREPO_NAMEREBOUNDPATH_START.@REBOUND_extracted@REBOUND-main@docs@simulationvariables.md@.PATH_END.py |
{
"filename": "model2vec.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/text_embedding/model2vec.ipynb",
"type": "Jupyter Notebook"
} | ## Overview
Model2Vec is a technique to turn any sentence transformer into a really small static model
[model2vec](https://github.com/MinishLab/model2vec) can be used to generate embeddings.
## Setup
```bash
pip install -U langchain-community
```
## Instantiation
Ensure that `model2vec` is installed
```bash
pip ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@text_embedding@model2vec.ipynb@.PATH_END.py |
{
"filename": "test_cylindrical_coordinates.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/geometry/coordinates/tests/test_cylindrical_coordinates.py",
"type": "Python"
} | # Some tests for the Cylindrical coordinates handler
import numpy as np
from numpy.testing import assert_almost_equal, assert_equal
from yt.testing import fake_amr_ds
# Our canonical tests are that we can access all of our fields and we can
# compute our volume correctly.
def test_cylindrical_coordinates():
# ... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@geometry@coordinates@tests@test_cylindrical_coordinates.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/selected/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="opacity", parent_name="histogram.selected.marker", **kwargs
):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram@selected@marker@_opacity.py@.PATH_END.py |
{
"filename": "feature_request.md",
"repo_name": "spacetelescope/synphot_refactor",
"repo_path": "synphot_refactor_extracted/synphot_refactor-master/.github/ISSUE_TEMPLATE/feature_request.md",
"type": "Markdown"
} | ---
name: Feature request
about: Suggest an idea to improve synphot
label: 'Feature Request'
---
<!-- This comments are hidden when you submit the issue,
so you do not need to remove them! -->
<!-- Please be sure to check out our code of conduct,
https://github.com/spacetelescope/synphot_refactor/blob/master/CODE_OF_... | spacetelescopeREPO_NAMEsynphot_refactorPATH_START.@synphot_refactor_extracted@synphot_refactor-master@.github@ISSUE_TEMPLATE@feature_request.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "DifferentiableUniverseInitiative/sbi_lens",
"repo_path": "sbi_lens_extracted/sbi_lens-main/sbi_lens/normflow/bijectors/__init__.py",
"type": "Python"
} | from sbi_lens.normflow.bijectors.bijectors import MixtureAffineSigmoidBijector
| DifferentiableUniverseInitiativeREPO_NAMEsbi_lensPATH_START.@sbi_lens_extracted@sbi_lens-main@sbi_lens@normflow@bijectors@__init__.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "sdss/cluplus",
"repo_path": "cluplus_extracted/cluplus-main/setup.py",
"type": "Python"
} | from email.utils import getaddresses
import toml
from setuptools import find_packages, setup
module = toml.load("pyproject.toml")
module_tool_poetry = module["tool"]["poetry"]
module_name = module_tool_poetry["name"]
module_package_from = module_tool_poetry["packages"][0]["from"]
module_package_include = module_to... | sdssREPO_NAMEcluplusPATH_START.@cluplus_extracted@cluplus-main@setup.py@.PATH_END.py |
{
"filename": "_autocolorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/marker/_autocolorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="autocolorscale",
parent_name="scatterpolargl.marker",
**kwargs,
):
super(AutocolorscaleValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@marker@_autocolorscale.py@.PATH_END.py |
{
"filename": "units.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/utilities/units.py",
"type": "Python"
} | """
standard system of units
===================================
You should use the units defined in this file whenever you
have a dimensional quantity in your code. For example,
write:
``s = 1.5 * units.km``
instead of:
``s = 1.5 # don't forget this is in km!``
The conversion factors defined in this fi... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@utilities@units.py@.PATH_END.py |
{
"filename": "test_multispectra.py",
"repo_name": "LSSTDESC/Spectractor",
"repo_path": "Spectractor_extracted/Spectractor-master/tests/test_multispectra.py",
"type": "Python"
} | import matplotlib as mpl
mpl.use('Agg') # must be run first! But therefore requires noqa E402 on all other imports
from spectractor.fit.fit_multispectra import _build_test_sample, MultiSpectraFitWorkspace, run_multispectra_minimisation # noqa: E402
from spectractor import parameters # noqa: E402
from spectractor.to... | LSSTDESCREPO_NAMESpectractorPATH_START.@Spectractor_extracted@Spectractor-master@tests@test_multispectra.py@.PATH_END.py |
{
"filename": "RandomSampling.py",
"repo_name": "igomezv/neuralike",
"repo_path": "neuralike_extracted/neuralike-main/neuralike/RandomSampling.py",
"type": "Python"
} | import os
import numpy as np
import time
class RandomSampling:
def __init__(self, like_fn, samples, means, mins, maxs, nrand=10, files_path='randomsampling'):
"""
Create a random samples in the parameter space and evaluate the likelihood in them.
This is used to generate the training set f... | igomezvREPO_NAMEneuralikePATH_START.@neuralike_extracted@neuralike-main@neuralike@RandomSampling.py@.PATH_END.py |
{
"filename": "test_proxqp.py",
"repo_name": "stephane-caron/qpsolvers",
"repo_path": "qpsolvers_extracted/qpsolvers-main/tests/test_proxqp.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: LGPL-3.0-or-later
# Copyright 2016-2022 Stéphane Caron and the qpsolvers contributors
"""Unit tests for ProxQP."""
import unittest
import warnings
from qpsolvers.exceptions import ParamError, ProblemError
from .problems import get_sd3310_pro... | stephane-caronREPO_NAMEqpsolversPATH_START.@qpsolvers_extracted@qpsolvers-main@tests@test_proxqp.py@.PATH_END.py |
{
"filename": "_ticklabelstep.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmapgl/colorbar/_ticklabelstep.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklabelstepValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="ticklabelstep", parent_name="heatmapgl.colorbar", **kwargs
):
super(TicklabelstepValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmapgl@colorbar@_ticklabelstep.py@.PATH_END.py |
{
"filename": "ensemble_test.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/L0_backend_python/ensemble/ensemble_test.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@L0_backend_python@ensemble@ensemble_test.py@.PATH_END.py |
{
"filename": "test_from_cupy.py",
"repo_name": "dmlc/xgboost",
"repo_path": "xgboost_extracted/xgboost-master/tests/python-gpu/test_from_cupy.py",
"type": "Python"
} | import json
import numpy as np
import pytest
import xgboost as xgb
from xgboost import testing as tm
from xgboost.testing.data import run_base_margin_info
cp = pytest.importorskip("cupy")
def test_array_interface() -> None:
arr = cp.array([[1, 2, 3, 4], [1, 2, 3, 4]])
i_arr = arr.__cuda_array_interface__
... | dmlcREPO_NAMExgboostPATH_START.@xgboost_extracted@xgboost-master@tests@python-gpu@test_from_cupy.py@.PATH_END.py |
{
"filename": "neural_autoregressive.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/pyro/distributions/transforms/neural_autoregressive.py",
"type": "Python"
} | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions.transforms import SigmoidTransform, TanhTransform
from pyro.nn import AutoRegressiveNN, ConditionalAutoRegr... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@pyro@distributions@transforms@neural_autoregressive.py@.PATH_END.py |
{
"filename": "_namelengthsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sunburst/hoverlabel/_namelengthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="namelengthsrc", parent_name="sunburst.hoverlabel", **kwargs
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sunburst@hoverlabel@_namelengthsrc.py@.PATH_END.py |
{
"filename": "plot_tools.py",
"repo_name": "LucIJspeert/eclipsr",
"repo_path": "eclipsr_extracted/eclipsr-master/eclipsr/plot_tools.py",
"type": "Python"
} | """ECLIPSR
This module contains functions to make (diagnostic) plots
for various stages of the eclipse finding.
Code written by: Luc IJspeert
"""
import numpy as np
import matplotlib.pyplot as plt
from . import eclipse_finding as ecf
from . import utility as ut
def rescale_tess_dplot(times, signal, signal_copy, a... | LucIJspeertREPO_NAMEeclipsrPATH_START.@eclipsr_extracted@eclipsr-master@eclipsr@plot_tools.py@.PATH_END.py |
{
"filename": "_ticklen.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/yaxis/minor/_ticklen.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ticklen", parent_name="layout.yaxis.minor", **kwargs
):
super(TicklenValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@yaxis@minor@_ticklen.py@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "spacetelescope/astrocut",
"repo_path": "astrocut_extracted/astrocut-main/astrocut/tests/test_utils.py",
"type": "Python"
} | import numpy as np
from astropy.io import fits
from astropy import wcs
from astropy.coordinates import SkyCoord
from astropy import units as u
from astropy.utils.data import get_pkg_data_filename
import pytest
from astrocut.exceptions import InputWarning, InvalidQueryError
from ..utils import utils
# Example FFI W... | spacetelescopeREPO_NAMEastrocutPATH_START.@astrocut_extracted@astrocut-main@astrocut@tests@test_utils.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "crislong/DySc",
"repo_path": "DySc_extracted/DySc-main/README.md",
"type": "Markdown"
} | # DySc
Dynamical Scale : Python package to measure protoplanetary discs mass through the rotation curve
| crislongREPO_NAMEDyScPATH_START.@DySc_extracted@DySc-main@README.md@.PATH_END.py |
{
"filename": "ioloop.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pyzmq/py2/zmq/green/eventloop/ioloop.py",
"type": "Python"
} | from zmq.eventloop.ioloop import *
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pyzmq@py2@zmq@green@eventloop@ioloop.py@.PATH_END.py |
{
"filename": "nestor_transit_fitting.py",
"repo_name": "afeinstein20/nirhiss",
"repo_path": "nirhiss_extracted/nirhiss-main/src/nirhiss/nestor_transit_fitting.py",
"type": "Python"
} | # taken from nespinoza/transitspectroscopy
# https://github.com/nespinoza/transitspectroscopy/blob/dev/src/transitfitting.py
import os
import numpy as np
import juliet
try:
import ray
except:
print('Could not import the "ray" library. If you want to parallelize \
lightcurve fitting, please install b... | afeinstein20REPO_NAMEnirhissPATH_START.@nirhiss_extracted@nirhiss-main@src@nirhiss@nestor_transit_fitting.py@.PATH_END.py |
{
"filename": "_hovertemplate.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/isosurface/_hovertemplate.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="isosurface", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@isosurface@_hovertemplate.py@.PATH_END.py |
{
"filename": "SoniScope.ipynb",
"repo_name": "fhstp/soniscope-jupyter",
"repo_path": "soniscope-jupyter_extracted/soniscope-jupyter-main/examples/SoniScope.ipynb",
"type": "Jupyter Notebook"
} | # SoniScope Prototype
```python
# pip install sc3nb soniscope_jupyter
```
```python
import numpy as np
import pandas as pd
import sc3nb as scn
from sc3nb import SynthDef, Synth
import time
import math
import ipywidgets as widgets
from ipywidgets import interactive, interact
from ipywidgets import HBox, Label, L... | fhstpREPO_NAMEsoniscope-jupyterPATH_START.@soniscope-jupyter_extracted@soniscope-jupyter-main@examples@SoniScope.ipynb@.PATH_END.py |
{
"filename": "21CMMC.py",
"repo_name": "BradGreig/21CMMC",
"repo_path": "21CMMC_extracted/21CMMC-master/21CMMC_SourceCode/Programs/21CMMC.py",
"type": "Python"
} | import os
import numpy
import math
from scipy import interpolate
from decimal import *
import string
import pickle
import time
TWOPLACES = Decimal(10) ** -2 # same as Decimal('0.01')
FOURPLACES = Decimal(10) ** -4 # same as Decimal('0.0001')
SIXPLACES = Decimal(10) ** -6 # same as Decimal('0.000001')... | BradGreigREPO_NAME21CMMCPATH_START.@21CMMC_extracted@21CMMC-master@21CMMC_SourceCode@Programs@21CMMC.py@.PATH_END.py |
{
"filename": "after_eruption.py",
"repo_name": "DTsuna/CHIPS",
"repo_path": "CHIPS_extracted/CHIPS-master/after_eruption.py",
"type": "Python"
} | from optparse import OptionParser
import subprocess
# our modules
from utils import utils
from input.TOPS import gen_op_tbl
from input.TOPS_multigroup import gen_op_frq
import lightcurve
def parse_command_line():
parser = OptionParser(
description = '''Execution script. e.g.,\n
python run.py --Eej 1e51 --stell... | DTsunaREPO_NAMECHIPSPATH_START.@CHIPS_extracted@CHIPS-master@after_eruption.py@.PATH_END.py |
{
"filename": "_gradient.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/marker/_gradient.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GradientValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="gradient", parent_name="scattergeo.marker", **kwargs
):
super(GradientValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@marker@_gradient.py@.PATH_END.py |
{
"filename": "create_hpx_list.py",
"repo_name": "LSSTDESC/lsstdesc-diffsky",
"repo_path": "lsstdesc-diffsky_extracted/lsstdesc-diffsky-main/scripts/mock_production/create_hpx_list.py",
"type": "Python"
} | import sys
import glob
import os
import re
import argparse
import numpy as np
hpxdir = '/gpfs/mira-fs0/projects/DarkUniverse_esp/kovacs/OR_5000/auxiliary_files'
hpx_template = 'healpix_cutouts/z_{}_{}/cutout_*.hdf5'
hpxfiles = 'hpx_z_{}_{}.txt'
file_template = 'pixels_{}_{}.txt'
hpxfiles_all = 'hpx_z_{}.txt'
size_min ... | LSSTDESCREPO_NAMElsstdesc-diffskyPATH_START.@lsstdesc-diffsky_extracted@lsstdesc-diffsky-main@scripts@mock_production@create_hpx_list.py@.PATH_END.py |
{
"filename": "eigen.py",
"repo_name": "rychallener/ThERESA",
"repo_path": "ThERESA_extracted/ThERESA-master/theresa/lib/eigen.py",
"type": "Python"
} | import numpy as np
import pca
import time
import utils
import starry
import theano
import theano.tensor as tt
import scipy.constants as sc
def mkcurves(system, t, lmax, y00, ncurves=None, method='pca'):
"""
Generates light curves from a star+planet system at times t,
for positive and negative spherical har... | rychallenerREPO_NAMEThERESAPATH_START.@ThERESA_extracted@ThERESA-master@theresa@lib@eigen.py@.PATH_END.py |
{
"filename": "_value.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/yaxis/tickformatstop/_value.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="value", parent_name="layout.yaxis.tickformatstop", **kwargs
):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@yaxis@tickformatstop@_value.py@.PATH_END.py |
{
"filename": "downstream_status.md",
"repo_name": "hgrecco/pint",
"repo_path": "pint_extracted/pint-master/downstream_status.md",
"type": "Markdown"
} | In Pint, we work hard to avoid breaking projects that depend on us.
If you are the maintainer of one of such projects, you can
help us get ahead of problems in simple way.
Pint will publish a release candidate (rc) at least a week before each new
version. By default, `pip` does not install these versions unless a
[pre... | hgreccoREPO_NAMEpintPATH_START.@pint_extracted@pint-master@downstream_status.md@.PATH_END.py |
{
"filename": "analysis.ipynb",
"repo_name": "tanner-trickle/EXCEED-DM",
"repo_path": "EXCEED-DM_extracted/EXCEED-DM-main/examples/6/analysis.ipynb",
"type": "Jupyter Notebook"
} | # Example 6 Analysis
We will plot the absorption rate as a function of mass, as well as the reach on $g_{aee}$
## Packages
```python
import numpy as np
# some personal preferences for nice plots
%run "../../utilities/output_parser/plotter.ipynb"
# helpful functions for processing output
import sys
sys.path.append... | tanner-trickleREPO_NAMEEXCEED-DMPATH_START.@EXCEED-DM_extracted@EXCEED-DM-main@examples@6@analysis.ipynb@.PATH_END.py |
{
"filename": "test_yaml.py",
"repo_name": "Goobley/crtaf-py",
"repo_path": "crtaf-py_extracted/crtaf-py-main/tests/test_yaml.py",
"type": "Python"
} | from copy import deepcopy
import ruamel.yaml
from crtaf.spec_version import spec_version
from crtaf.simplification_visitors import default_visitors
from crtaf.core_types import (
Atom,
AtomicSimplificationVisitor,
CollisionalRate,
NaturalBroadening,
OmegaRate,
)
from io import StringIO
import astrop... | GoobleyREPO_NAMEcrtaf-pyPATH_START.@crtaf-py_extracted@crtaf-py-main@tests@test_yaml.py@.PATH_END.py |
{
"filename": "continuum.py",
"repo_name": "yi-jia-li/cue",
"repo_path": "cue_extracted/cue-main/src/cue/continuum.py",
"type": "Python"
} | ### temperal line prediction function
import numpy as np
#import glob
import tensorflow as tf
import tqdm
import dill as pickle
from . import cont_pca
from .cont_pca import SpectrumPCA
from .nn import Speculator
from .utils import cont_lam, logQ
#import __main__
#__main__.SpectrumPCA = SpectrumPCA
### read the fit PCA... | yi-jia-liREPO_NAMEcuePATH_START.@cue_extracted@cue-main@src@cue@continuum.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "gbrammer/threedhst",
"repo_path": "threedhst_extracted/threedhst-master/README.md",
"type": "Markdown"
} | # threedhst
Automatically exported from code.google.com/p/threedhst (Oct 9, 2015 / GBB)
This now takes precedence over the frozen google-code SVN repository.
Note that much of the grism analysis code including the aXe wrappers is now deprecated in favor of the "interlacing" code described by Momcheva et al. (http://a... | gbrammerREPO_NAMEthreedhstPATH_START.@threedhst_extracted@threedhst-master@README.md@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/annotation/font/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="layout.scene.annotation.font", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@annotation@font@_shadow.py@.PATH_END.py |
{
"filename": "deepreload.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py3/IPython/lib/deepreload.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Provides a reload() function that acts recursively.
Python's normal :func:`python:reload` function only reloads the module that it's
passed. The :func:`reload` function in this module also reloads everything
imported from that module, which is useful when you're changing files deep
inside a... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py3@IPython@lib@deepreload.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/py4py/py4py/reverb/timeseries/__init__.py",
"type": "Python"
} | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@py4py@py4py@reverb@timeseries@__init__.py@.PATH_END.py | |
{
"filename": "new_MOFF_testing_MWA.py",
"repo_name": "epic-astronomy/EPIC",
"repo_path": "EPIC_extracted/EPIC-master/main/new_MOFF_testing_MWA.py",
"type": "Python"
} | import datetime as DT
import numpy as NP
import matplotlib.pyplot as PLT
import matplotlib.colors as PLTC
import scipy.constants as FCNST
import antenna_array as AA
import geometry as GEOM
import sim_observe as SIM
import my_DSP_modules as DSP
import ipdb as PDB
itr = 4
# Antenna initialization
lat = -26.701 # Latit... | epic-astronomyREPO_NAMEEPICPATH_START.@EPIC_extracted@EPIC-master@main@new_MOFF_testing_MWA.py@.PATH_END.py |
{
"filename": "render_pngs.py",
"repo_name": "IanHeywood/oxkat",
"repo_path": "oxkat_extracted/oxkat-master/tools/render_pngs.py",
"type": "Python"
} | import sys
import glob
def write_slurm(opfile,
jobname,
logfile,
container,
syscall,
ntasks='1',
nodes='1',
cpus='8',
mem='32GB'):
f = open(opfile,'w')
f.writelines(['#!/bin/bash\n'... | IanHeywoodREPO_NAMEoxkatPATH_START.@oxkat_extracted@oxkat-master@tools@render_pngs.py@.PATH_END.py |
{
"filename": "script_example_ngc6888.ipynb",
"repo_name": "thomasorb/orcs",
"repo_path": "orcs_extracted/orcs-master/docs/_build/doctrees/nbsphinx/script_example_ngc6888.ipynb",
"type": "Jupyter Notebook"
} | # Automatic estimation of the flux and velocity and double sinc fit
The following example shows how to make a quick estimate of the flux + velocity. The NGC6888 shell displays two generally unresolved components which can be fitted with a double sinc model thanks to the generally high SNR of the data.
```python
from... | thomasorbREPO_NAMEorcsPATH_START.@orcs_extracted@orcs-master@docs@_build@doctrees@nbsphinx@script_example_ngc6888.ipynb@.PATH_END.py |
{
"filename": "test_nifs.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/nifs/tests/test_nifs.py",
"type": "Python"
} | import pytest
import astrodata
import astrodata.testing
import gemini_instruments
test_files = [
'N20160727S0077.fits',
]
@pytest.fixture(params=test_files)
def ad(request):
filename = request.param
path = astrodata.testing.download_from_archive(filename)
return astrodata.open(path)
@pytest.mark.d... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@nifs@tests@test_nifs.py@.PATH_END.py |
{
"filename": "fil2h5.py",
"repo_name": "ucberkeleyseti/blimpy",
"repo_path": "blimpy_extracted/blimpy-master/blimpy/fil2h5.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Simple script for making an h5 file from a .fil.
..author: Emilio Enriquez (jeenriquez@gmail.com)
July 28th 2017
"""
import sys
import os
import time
from argparse import ArgumentParser
from .utils import change_the_ext
# Logging set up
import logging
logger = logging.getLogger... | ucberkeleysetiREPO_NAMEblimpyPATH_START.@blimpy_extracted@blimpy-master@blimpy@fil2h5.py@.PATH_END.py |
{
"filename": "reaclib_rate.py",
"repo_name": "pynucastro/pynucastro",
"repo_path": "pynucastro_extracted/pynucastro-main/pynucastro/rates/reaclib_rate.py",
"type": "Python"
} | import io
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
from pynucastro.nucdata import Nucleus
from pynucastro.rates.files import RateFileError, _find_rate_file
from pynucastro.rates.rate import Rate, RateSource, Tfactors
class SingleSet:
""" a set in Reaclib is one piece of a rate... | pynucastroREPO_NAMEpynucastroPATH_START.@pynucastro_extracted@pynucastro-main@pynucastro@rates@reaclib_rate.py@.PATH_END.py |
{
"filename": "test_log.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/tests/test_log.py",
"type": "Python"
} | from chimera.core.chimeraobject import ChimeraObject
from chimera.core.manager import Manager
from chimera.core.exceptions import ChimeraException
import logging
log = logging.getLogger("chimera.test_log")
class TestLog(object):
def test_log(self):
class Simple(ChimeraObject):
def __init__... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@tests@test_log.py@.PATH_END.py |
{
"filename": "AUTHORS.md",
"repo_name": "aymgal/COOLEST",
"repo_path": "COOLEST_extracted/COOLEST-main/AUTHORS.md",
"type": "Markdown"
} | # Authors credits
The main instigators and developers of COOLEST are the following people:
- Aymeric Galan, [@aymgal](https://github.com/aymgal)
- Lyne Van de Vyvere, [@LyneVdV](https://github.com/LyneVdV)
- Matt Gomer, [@mattgomer](https://github.com/mattgomer)
- Georgios Vernardos, [@gvernard](https://github.com/gve... | aymgalREPO_NAMECOOLESTPATH_START.@COOLEST_extracted@COOLEST-main@AUTHORS.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "discsim/frank",
"repo_path": "frank_extracted/frank-master/frank/__init__.py",
"type": "Python"
} | # Frankenstein: 1D disc brightness profile reconstruction from Fourier data
# using non-parametric Gaussian Processes
#
# Copyright (C) 2019-2020 R. Booth, J. Jennings, M. Tazzari
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publishe... | discsimREPO_NAMEfrankPATH_START.@frank_extracted@frank-master@frank@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ExObsSim/ExoRad2-public",
"repo_path": "ExoRad2-public_extracted/ExoRad2-public-master/exorad/models/foregrounds/__init__.py",
"type": "Python"
} | ExObsSimREPO_NAMEExoRad2-publicPATH_START.@ExoRad2-public_extracted@ExoRad2-public-master@exorad@models@foregrounds@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "plazar/TOASTER",
"repo_path": "TOASTER_extracted/TOASTER-master/webtoaster/app/controllers/__init__.py",
"type": "Python"
} | plazarREPO_NAMETOASTERPATH_START.@TOASTER_extracted@TOASTER-master@webtoaster@app@controllers@__init__.py@.PATH_END.py | |
{
"filename": "slab.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/slab/slab.py",
"type": "Python"
} | # Copyright 2024 The JAX Authors.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@slab@slab.py@.PATH_END.py |
{
"filename": "_coloraxis.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/funnel/marker/line/_coloraxis.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColoraxisValidator(_plotly_utils.basevalidators.SubplotidValidator):
def __init__(
self, plotly_name="coloraxis", parent_name="funnel.marker.line", **kwargs
):
super(ColoraxisValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@funnel@marker@line@_coloraxis.py@.PATH_END.py |
{
"filename": "cuda_installation.md",
"repo_name": "myinxd/mcrgnet",
"repo_path": "mcrgnet_extracted/mcrgnet-master/cuda_installation.md",
"type": "Markdown"
} | ## Install tensorflow with gpu library CUDA on Ubuntu 16.04 x64
### System and Software info
1. System: Ubuntu16.04
2. GPU card: Nvidia GeForce GT 620
3. tensoflow-gpu==1.2.1
4. CUDA: 8.0 https://developer.nvidia.com/cuda-downloads
5. cuDNN: v5.1 https://developer.nvidia.com/rdp/cudnn-download
### References
1. Tens... | myinxdREPO_NAMEmcrgnetPATH_START.@mcrgnet_extracted@mcrgnet-master@cuda_installation.md@.PATH_END.py |
{
"filename": "_itemdoubleclick.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/legend/_itemdoubleclick.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ItemdoubleclickValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="itemdoubleclick", parent_name="layout.legend", **kwargs
):
super(ItemdoubleclickValidator, self).__init__(
plotly_name=plotly_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@legend@_itemdoubleclick.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="scattergl.marker", **kwargs):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@marker@_opacity.py@.PATH_END.py |
{
"filename": "DensityResolutionStudy.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/EQUATIONS/FOR_RESOLUTION_STUDY/DensityResolutionStudy.py",
"type": "Python"
} | import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
from UTILS.Calculus import Calculus
from UTILS.SetAxisLimit import SetAxisLimit
from UTILS.Tools import Tools
from UTILS.Errors import Errors
import sys
# Theoretical background https://arxiv.org/abs/1401.5176
# Mocak, Meakin, Viallet, Ar... | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@EQUATIONS@FOR_RESOLUTION_STUDY@DensityResolutionStudy.py@.PATH_END.py |
{
"filename": "_backoffsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolar/line/_backoffsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BackoffsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="backoffsrc", parent_name="scatterpolar.line", **kwargs
):
super(BackoffsrcValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolar@line@_backoffsrc.py@.PATH_END.py |
{
"filename": "_colorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/table/cells/font/_colorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="colorsrc", parent_name="table.cells.font", **kwargs
):
super(ColorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@table@cells@font@_colorsrc.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/zaxis/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="style", parent_name="layout.scene.zaxis.title.font", **kwargs
):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@zaxis@title@font@_style.py@.PATH_END.py |
{
"filename": "external_sfrs.py",
"repo_name": "kokron/skyLine",
"repo_path": "skyLine_extracted/skyLine-main/source/external_sfrs.py",
"type": "Python"
} | '''
Catalog for external SFRs
'''
import numpy as np
from scipy.interpolate import griddata
import os
def Behroozi_SFR(M, z):
'''
Returns SFR(M,z) interpolated from Behroozi et al. 2013
'''
return SFR_Mz_2dinterp(M,z,'sfr_table_Behroozi.dat')
def UniverseMachine_SFR(M,z):
'''
Returns SFR(M,... | kokronREPO_NAMEskyLinePATH_START.@skyLine_extracted@skyLine-main@source@external_sfrs.py@.PATH_END.py |
{
"filename": "ma.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/typing/tests/data/pass/ma.py",
"type": "Python"
} | from typing import Any
import numpy as np
import numpy.ma
m : np.ma.MaskedArray[Any, np.dtype[np.float64]] = np.ma.masked_array([1.5, 2, 3], mask=[True, False, True])
| numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@typing@tests@data@pass@ma.py@.PATH_END.py |
{
"filename": "signal.py",
"repo_name": "CosmoStatGW/gwfast",
"repo_path": "gwfast_extracted/gwfast-master/gwfast/signal.py",
"type": "Python"
} | #
# Copyright (c) 2022 Francesco Iacovelli <francesco.iacovelli@unige.ch>, Michele Mancarella <michele.mancarella@unige.ch>
#
# All rights reserved. Use of this source code is governed by the
# license that can be found in the LICENSE file.
import os
import jax
#Enable 64bit on JAX, fundamental
#from jax.co... | CosmoStatGWREPO_NAMEgwfastPATH_START.@gwfast_extracted@gwfast-master@gwfast@signal.py@.PATH_END.py |
{
"filename": "test_exoplanet_orbit_database.py",
"repo_name": "D-arioSpace/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/exoplanet_orbit_database/tests/test_exoplanet_orbit_database.py",
"type": "Python"
} | import os
import pytest
import astropy.units as u
from astropy.tests.helper import assert_quantity_allclose
from astropy.utils import minversion
from astropy.coordinates import SkyCoord
from ...exoplanet_orbit_database import ExoplanetOrbitDatabase
APY_LT12 = not minversion('astropy', '1.2')
LOCAL_TABLE_PATH = os.pa... | D-arioSpaceREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@exoplanet_orbit_database@tests@test_exoplanet_orbit_database.py@.PATH_END.py |
{
"filename": "base_hdf.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/inference/io/base_hdf.py",
"type": "Python"
} | # Copyright (C) 2016 Christopher M. Biwer, Collin Capano
# 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 version 3 of the License, or (at your
# self.option) any later version.
#
# This p... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@inference@io@base_hdf.py@.PATH_END.py |
{
"filename": "simulation_coordinates.py",
"repo_name": "cmlamman/spec-IA",
"repo_path": "spec-IA_extracted/spec-IA-main/geometry_functions/simulation_coordinates.py",
"type": "Python"
} | # SIMPLE FUNCTION TO MODIFY A PERIODIC BOX FOR THE REST OF THE CODE
import numpy as np
def make_tracers_periodic(origional_points, extend_by=100):
'''
Function to extend a set of points in a periodic box by a given distance. Used for extended a tracer sample to use multiplets / shapes in the full box.
orig... | cmlammanREPO_NAMEspec-IAPATH_START.@spec-IA_extracted@spec-IA-main@geometry_functions@simulation_coordinates.py@.PATH_END.py |
{
"filename": "plot_wind.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/plot_wind.py",
"type": "Python"
} | #!/usr/bin/env python
'''
Synopsis:
These are routines for plotting various parameters in of the wind
after these parameters have been saved to an astropy-compatible
ascii table
Command line usage
plot_wind filename var
to make a plot of a single variable from the command line
Description... | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@plot_wind.py@.PATH_END.py |
{
"filename": "revived_types_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/saved_model/revived_types_test.py",
"type": "Python"
} | # Copyright 2019 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@saved_model@revived_types_test.py@.PATH_END.py |
{
"filename": "test_tracer_model_fit.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_Workflow/test_tracer_model_fit.py",
"type": "Python"
} | import numpy.testing as npt
import numpy as np
class TestTracerModelFit(object):
def setup_method(self):
# imagng data specifics
background_rms = 0.005 # background noise per pixel
exp_time = 500.0 # exposure time (arbitrary units, flux per pixel is in units #photons/exp_time unit)
... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_Workflow@test_tracer_model_fit.py@.PATH_END.py |
{
"filename": "test_main.py",
"repo_name": "HengyueZ/astrofix",
"repo_path": "astrofix_extracted/astrofix-master/astrofix/tests/test_main.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 18 22:22:53 2021
@author: hyzha
"""
import astrofix
import numpy as np
import pytest
import os
import requests
from astropy.io import fits
def test_kernel_construction():
for width in np.linspace(3,11,5):
width=int(width)
kernel=astrofix.GPR_Kernel(2... | HengyueZREPO_NAMEastrofixPATH_START.@astrofix_extracted@astrofix-master@astrofix@tests@test_main.py@.PATH_END.py |
{
"filename": "demo_axisline_style.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/axisartist/demo_axisline_style.py",
"type": "Python"
} | """
================
Axis line styles
================
This example shows some configurations for axis style.
Note: The `mpl_toolkits.axisartist` Axes classes may be confusing for new
users. If the only aim is to obtain arrow heads at the ends of the axes,
rather check out the :doc:`/gallery/spines/centered_spines_wi... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@axisartist@demo_axisline_style.py@.PATH_END.py |
{
"filename": "admin.py",
"repo_name": "RafiKueng/SpaghettiLens",
"repo_path": "SpaghettiLens_extracted/SpaghettiLens-master/SpaghettiLensProject/SpaghettiLens_app/admin.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib import admin
# Register your models here.
| RafiKuengREPO_NAMESpaghettiLensPATH_START.@SpaghettiLens_extracted@SpaghettiLens-master@SpaghettiLensProject@SpaghettiLens_app@admin.py@.PATH_END.py |
{
"filename": "test_mathtext.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/lib/matplotlib/tests/test_mathtext.py",
"type": "Python"
} | from __future__ import annotations
import io
from pathlib import Path
import platform
import re
from xml.etree import ElementTree as ET
from typing import Any
import numpy as np
from packaging.version import parse as parse_version
import pyparsing
import pytest
import matplotlib as mpl
from matplotlib.testing.decor... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@lib@matplotlib@tests@test_mathtext.py@.PATH_END.py |
{
"filename": "calibrate.py",
"repo_name": "ratt-ru/QuartiCal",
"repo_path": "QuartiCal_extracted/QuartiCal-main/quartical/calibration/calibrate.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
import dask.array as da
from quartical.calibration.mapping import make_mapping_datasets
from quartical.gains.general.generics import (compute_residual,
compute_corrected_residual,
compu... | ratt-ruREPO_NAMEQuartiCalPATH_START.@QuartiCal_extracted@QuartiCal-main@quartical@calibration@calibrate.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "brinckmann/montepython_public",
"repo_path": "montepython_public_extracted/montepython_public-master/montepython/likelihoods/bao_known_rs/__init__.py",
"type": "Python"
} | import os
import numpy as np
from math import sqrt
from montepython.likelihood_class import Likelihood
class bao_known_rs(Likelihood):
# initialization routine
def __init__(self, path, data, command_line):
Likelihood.__init__(self, path, data, command_line)
# define array for values of z a... | brinckmannREPO_NAMEmontepython_publicPATH_START.@montepython_public_extracted@montepython_public-master@montepython@likelihoods@bao_known_rs@__init__.py@.PATH_END.py |
{
"filename": "diy_reduction_script.ipynb",
"repo_name": "juliotux/astropop",
"repo_path": "astropop_extracted/astropop-main/docs/ipynb/diy_reduction_script.ipynb",
"type": "Jupyter Notebook"
} | # Make Your Own Reduction Scrypt (photometry)
*Work in Progress*
ASTROPOP is not a reduction script by itself, but a library containing (almost) everything you need to create your reduction script by yourself.
In this guide, we will follow a standard reduction procedure using the ASTROPOP modules and you can follow ... | juliotuxREPO_NAMEastropopPATH_START.@astropop_extracted@astropop-main@docs@ipynb@diy_reduction_script.ipynb@.PATH_END.py |
{
"filename": "initialize.py",
"repo_name": "iancze/PSOAP",
"repo_path": "PSOAP_extracted/PSOAP-master/psoap/initialize.py",
"type": "Python"
} | import sys
import pkg_resources
import psoap
def main():
"""
Available from command line as ``psoap-initialize``
"""
import argparse
parser = argparse.ArgumentParser(description="Initialize a new directory to do inference.")
parser.add_argument("--check", action="store_true", help="To help ... | ianczeREPO_NAMEPSOAPPATH_START.@PSOAP_extracted@PSOAP-master@psoap@initialize.py@.PATH_END.py |
{
"filename": "pi_gamma.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/hazma/vector_mediator/form_factors/pi_gamma.py",
"type": "Python"
} | from dataclasses import dataclass
from typing import Union, overload
import numpy as np
from hazma import parameters
from .cross_sections import width_to_cs
from .utils import MPI_GEV, ComplexArray, RealArray
from .widths import width_v_to_p_a
@dataclass
class FormFactorPiGamma:
masses: RealArray = np.array([... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@hazma@vector_mediator@form_factors@pi_gamma.py@.PATH_END.py |
{
"filename": "utils_saha_av.py",
"repo_name": "justyncw/STAR_MELT",
"repo_path": "STAR_MELT_extracted/STAR_MELT-main/utils_saha_av.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 10 11:23:41 2021
@author: jcampbellwhite001
"""
from numpy import *
from scipy.special import gamma
from matplotlib import *
from matplotlib.pyplot import *
import numpy as np
import pandas as pd
import matplotlib.pylab as plt
from scipy import opt... | justyncwREPO_NAMESTAR_MELTPATH_START.@STAR_MELT_extracted@STAR_MELT-main@utils_saha_av.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contourcarpet/colorbar/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._side import SideValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contourcarpet@colorbar@title@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "hpc4cmb/toast",
"repo_path": "toast_extracted/toast-main/src/toast/pybind11/pybind11/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 6):
msg = "pybind11 does not support Python < 3.6. 2.9 was the last release supporting Python 2.7 and 3.5."
raise ImportError(msg)
from ._version import __version__, version_info
from .commands import get_cmake_dir, get_include, get_pkgconfig_dir
__all__ = (
"version... | hpc4cmbREPO_NAMEtoastPATH_START.@toast_extracted@toast-main@src@toast@pybind11@pybind11@__init__.py@.PATH_END.py |
{
"filename": "python__note__predict_note_for_packages_must-contain-all-features__python.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-common-phrases/python__note__predict_note_for_packages_must-contain-all-features__python.md",... | The model prediction results will be correct only if the `data` parameter with feature values contains all the features used in the model. Typically, the order of these features must match the order of the corresponding columns that is provided during the training. But if feature names are provided both during the trai... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-common-phrases@python__note__predict_note_for_packages_must-contain-all-features__python.md@.PATH_END.py |
{
"filename": "tfsa-2021-042.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2021-042.md",
"type": "Markdown"
} | ## TFSA-2021-042: Division by 0 in `DenseCountSparseOutput`
### CVE Number
CVE-2021-29554
### Impact
An attacker can cause a denial of service via a FPE runtime error in
`tf.raw_ops.DenseCountSparseOutput`:
```python
import tensorflow as tf
values = tf.constant([], shape=[0, 0], dtype=tf.int64)
weights = tf.constan... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2021-042.md@.PATH_END.py |
{
"filename": "tfsa-2018-006.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2018-006.md",
"type": "Markdown"
} | ## TFSA-2018-006: Crafted Configuration File results in Invalid Memory Access
### CVE Number
CVE-2018-10055
### Issue Description
A maliciously crafted configuration file passed into the TensorFlow XLA compiler
could cause an invalid memory access and/or a heap buffer overflow.
### Impact
A maliciously crafted co... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2018-006.md@.PATH_END.py |
{
"filename": "photometry_kernels.py",
"repo_name": "LSSTDESC/lsstdesc-diffsky",
"repo_path": "lsstdesc-diffsky_extracted/lsstdesc-diffsky-main/lsstdesc_diffsky/photometry/photometry_kernels.py",
"type": "Python"
} | """
"""
from dsps.photometry.photometry_kernels import calc_obs_mag, calc_rest_mag
from jax import jit as jjit
from jax import vmap
from ..defaults import DEFAULT_COSMO_PARAMS
from ..sed import calc_rest_sed_singlegal
_F = (*[None] * 2, 0, 0, *[None] * 5)
calc_obs_mag_vmap = jjit(vmap(calc_obs_mag, in_axes=_F))
_R ... | LSSTDESCREPO_NAMElsstdesc-diffskyPATH_START.@lsstdesc-diffsky_extracted@lsstdesc-diffsky-main@lsstdesc_diffsky@photometry@photometry_kernels.py@.PATH_END.py |
{
"filename": "mio_utils.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/io/matlab/mio_utils.py",
"type": "Python"
} | # This file is not meant for public use and will be removed in SciPy v2.0.0.
# Use the `scipy.io.matlab` namespace for importing the functions
# included below.
from scipy._lib.deprecation import _sub_module_deprecation
__all__: list[str] = []
def __dir__():
return __all__
def __getattr__(name):
return _s... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@io@matlab@mio_utils.py@.PATH_END.py |
{
"filename": "_gridcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/xaxis/_gridcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class GridcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="gridcolor", parent_name="layout.xaxis", **kwargs):
super(GridcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@xaxis@_gridcolor.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/modeling/tests/data/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from pathlib import Path
dpath = str(Path(__file__).parent.resolve())
| astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@modeling@tests@data@__init__.py@.PATH_END.py |
{
"filename": "_maxpoints.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2dcontour/stream/_maxpoints.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="maxpoints", parent_name="histogram2dcontour.stream", **kwargs
):
super(MaxpointsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2dcontour@stream@_maxpoints.py@.PATH_END.py |
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