metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/hoverlabel/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="scattermap.hoverlabel", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "aringlis/afino_release_version",
"repo_path": "afino_release_version_extracted/afino_release_version-master/afino/__init__.py",
"type": "Python"
} | # An init file
| aringlisREPO_NAMEafino_release_versionPATH_START.@afino_release_version_extracted@afino_release_version-master@afino@__init__.py@.PATH_END.py |
{
"filename": "PlotPlayground.ipynb",
"repo_name": "adamamiller/ztf_early_Ia_2018",
"repo_path": "ztf_early_Ia_2018_extracted/ztf_early_Ia_2018-master/playground/PlotPlayground.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from scipy.stats import spearmanr
```
```python
%matplotlib notebook
```
# Plot Playground
This notebook is exploratory in nature and designed to look at various correlations in the early... | adamamillerREPO_NAMEztf_early_Ia_2018PATH_START.@ztf_early_Ia_2018_extracted@ztf_early_Ia_2018-master@playground@PlotPlayground.ipynb@.PATH_END.py |
{
"filename": "Far-Field Simulation_binocular.ipynb",
"repo_name": "McMahonCosmologyGroup/holosim-ml",
"repo_path": "holosim-ml_extracted/holosim-ml-main/ML model construction/Far-Field Simulation_binocular.ipynb",
"type": "Jupyter Notebook"
} | # Far-field Beam Simulation: ML Training Sets
## Simons Observatory Large Aperture Telescope
### Grace E. Chesmore and Jeff McMahon - McMahonCosmologyGroup
We will simulate the far-field beam of the SO LAT using ray-tracing technique. We will simulate the SO LAT geometry in five scenarios, with a range of surface pane... | McMahonCosmologyGroupREPO_NAMEholosim-mlPATH_START.@holosim-ml_extracted@holosim-ml-main@ML model construction@Far-Field Simulation_binocular.ipynb@.PATH_END.py |
{
"filename": "multi_fit_example.py",
"repo_name": "rzellem/EXOTIC",
"repo_path": "EXOTIC_extracted/EXOTIC-main/examples/multiple_transit/multi_fit_example.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from exotic.api.elca import transit, glc_fitter
if __name__ == "__main__":
# simulate input data
epochs = np.random.choice(np.arange(100), 8, replace=False)
input_data = []
local_bounds = []
for i, epoch in enumerate(epochs):
nobs = np.... | rzellemREPO_NAMEEXOTICPATH_START.@EXOTIC_extracted@EXOTIC-main@examples@multiple_transit@multi_fit_example.py@.PATH_END.py |
{
"filename": "localtime.py",
"repo_name": "sczesla/PyAstronomy",
"repo_path": "PyAstronomy_extracted/PyAstronomy-master/src/pyasl/asl/localtime.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numpy as np
from PyAstronomy.pyaC import pyaErrors as PE
def localTime(utc, lon, diff=True):
"""
Computes the Local Time for a given UTC at a given geographic longitude.
The local time is computed as UTC + LONGITUDE/15.
Parameters
----------
utc : float o... | sczeslaREPO_NAMEPyAstronomyPATH_START.@PyAstronomy_extracted@PyAstronomy-master@src@pyasl@asl@localtime.py@.PATH_END.py |
{
"filename": "SolidNodeList.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/NodeList/SolidNodeList.py",
"type": "Python"
} | from PYB11Generator import *
from FluidNodeList import FluidNodeList
from RestartMethods import *
#-------------------------------------------------------------------------------
# SolidNodeList template
#-------------------------------------------------------------------------------
@PYB11template("Dimension")
@PYB11... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@NodeList@SolidNodeList.py@.PATH_END.py |
{
"filename": "pareto.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/scipy/stats/pareto.py",
"type": "Python"
} | # Copyright 2018 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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@scipy@stats@pareto.py@.PATH_END.py |
{
"filename": "HeFESTo_2024_to_burnman.py",
"repo_name": "geodynamics/burnman",
"repo_path": "burnman_extracted/burnman-main/burnman/data/input_raw_endmember_datasets/HeFESTo_2024_to_burnman.py",
"type": "Python"
} | # This file is part of BurnMan - a thermoelastic and thermodynamic toolkit for
# the Earth and Planetary Sciences
# Copyright (C) 2012 - 2024 by the BurnMan team, released under the GNU
# GPL v2 or later.
# This is a script that converts a version of the
# HeFESTo data format into the standard burnman
# format (print... | geodynamicsREPO_NAMEburnmanPATH_START.@burnman_extracted@burnman-main@burnman@data@input_raw_endmember_datasets@HeFESTo_2024_to_burnman.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "LoganAMorrison/blackthorn",
"repo_path": "blackthorn_extracted/blackthorn-master/blackthorn/models/utils.py",
"type": "Python"
} | from typing import List, Tuple
from ..constants import Gen
LEPTON_STR_GEN: List[Tuple[str, Gen]] = [
("e", Gen.Fst),
("mu", Gen.Snd),
("tau", Gen.Trd),
]
UP_QUARK_STR_GEN: List[Tuple[str, Gen]] = [
("u", Gen.Fst),
("c", Gen.Snd),
("t", Gen.Trd),
]
DOWN_QUARK_STR_GEN: List[Tuple[str, Gen]] = [... | LoganAMorrisonREPO_NAMEblackthornPATH_START.@blackthorn_extracted@blackthorn-master@blackthorn@models@utils.py@.PATH_END.py |
{
"filename": "CreateMesh_Circle_in_Vacuum.py",
"repo_name": "C-Briddon/SELCIE",
"repo_path": "SELCIE_extracted/SELCIE-main/Examples/CreateMesh_Circle_in_Vacuum.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 7 13:49:00 2021
@author: Chad Briddon
Example of creating a mesh. In this example the mesh is a circular source
inside an empty vacuum.
"""
from SELCIE import MeshingTools
# Choose source and vacuum radial sizes.
r_s = 0.005
r_v = 1.0
filename =... | C-BriddonREPO_NAMESELCIEPATH_START.@SELCIE_extracted@SELCIE-main@Examples@CreateMesh_Circle_in_Vacuum.py@.PATH_END.py |
{
"filename": "test_internals.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/python-dateutil/py3/tests/test_internals.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Tests for implementation details, not necessarily part of the user-facing
API.
The motivating case for these tests is #483, where we want to smoke-test
code that may be difficult to reach through the standard API calls.
"""
import sys
import pytest
import warnings
from dateutil.parser._pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@python-dateutil@py3@tests@test_internals.py@.PATH_END.py |
{
"filename": "density_grid_sampling.ipynb",
"repo_name": "CRPropa/CRPropa3",
"repo_path": "CRPropa3_extracted/CRPropa3-master/doc/pages/example_notebooks/density/density_grid_sampling.ipynb",
"type": "Jupyter Notebook"
} | # Example of grid based densities of the Milky Way and sampling source position
```python
from crpropa import *
import numpy as np
import matplotlib.pyplot as plt # optional for plotting
import matplotlib as mpl
from tqdm import trange # progressbar # alternative trange = range
```
In this example a mass distribut... | CRPropaREPO_NAMECRPropa3PATH_START.@CRPropa3_extracted@CRPropa3-master@doc@pages@example_notebooks@density@density_grid_sampling.ipynb@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "ML4GW/aframe",
"repo_path": "aframe_extracted/aframe-main/projects/data/data/segments/main.py",
"type": "Python"
} | import logging
from jsonargparse import ArgumentParser
from data.segments.segments import DataQualityDict
parser = ArgumentParser()
parser.add_method_arguments(DataQualityDict, "query_segments")
parser.add_argument("--output_file", "-o", type=str)
def main(args=None):
args = args.query.as_dict()
output_fil... | ML4GWREPO_NAMEaframePATH_START.@aframe_extracted@aframe-main@projects@data@data@segments@main.py@.PATH_END.py |
{
"filename": "run_2d.py",
"repo_name": "jdhenshaw/acorns",
"repo_path": "acorns_extracted/acorns-master/examples/run_2d.py",
"type": "Python"
} | import numpy as np
from acorns import Acorns
import sys
import os
from astropy.io import fits
"""
Example of how to generate the input to acorns, run the code, and save the
output.
If method = "PPV" acorns requires an array in the following format:
x, y, I, sigI, vel, + any other variables req'd for the linking.
"""... | jdhenshawREPO_NAMEacornsPATH_START.@acorns_extracted@acorns-master@examples@run_2d.py@.PATH_END.py |
{
"filename": "test_step_function.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/tests/test_step_function.py",
"type": "Python"
} | # Copyright (C) 2022, the ixpeobssim team.
#
# 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 option) any later version.
#
# This program is distrib... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@tests@test_step_function.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pyro-ppl/numpyro",
"repo_path": "numpyro_extracted/numpyro-master/numpyro/examples/__init__.py",
"type": "Python"
} | pyro-pplREPO_NAMEnumpyroPATH_START.@numpyro_extracted@numpyro-master@numpyro@examples@__init__.py@.PATH_END.py | |
{
"filename": "photometry.py",
"repo_name": "abs2k12/COCOA",
"repo_path": "COCOA_extracted/COCOA-master/photometry.py",
"type": "Python"
} | import itertools
import functools
import inspect
import logging
import random
import math
import numpy as np
import os
import subprocess
from input_observation import seei
from subprocess import*
from param_rtt import *
from sim2obs_param import *
from read_off import read_lines
from photo_functions import *
#from fiel... | abs2k12REPO_NAMECOCOAPATH_START.@COCOA_extracted@COCOA-master@photometry.py@.PATH_END.py |
{
"filename": "igimf_epoch_95.py",
"repo_name": "juzikong/photGalIMF",
"repo_path": "photGalIMF_extracted/photGalIMF-main/simulation_results_from_galaxy_evol/example/igimf_epoch_95.py",
"type": "Python"
} | # File to define a custom IMF
# The return value represents the chosen IMF value for the input mass
def custom_imf(mass, time): # there is no time dependence for IGIMF
if mass < 0.08:
return 0
elif mass < 0.101:
return -881912095498.0004 * mass + 126349388048.4443
elif mass < 0.10201:
... | juzikongREPO_NAMEphotGalIMFPATH_START.@photGalIMF_extracted@photGalIMF-main@simulation_results_from_galaxy_evol@example@igimf_epoch_95.py@.PATH_END.py |
{
"filename": "sn_snr_metric.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/metrics/sn_snr_metric.py",
"type": "Python"
} | __all__ = ("SNSNRMetric",)
from collections.abc import Iterable
import matplotlib.pylab as plt
import numpy as np
import numpy.lib.recfunctions as rf
from scipy import interpolate
import rubin_sim.maf.metrics as metrics
from rubin_sim.maf.utils.sn_utils import GenerateFakeObservations
class SNSNRMetric(metrics.Bas... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@metrics@sn_snr_metric.py@.PATH_END.py |
{
"filename": "data_structures.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/owls_subfind/data_structures.py",
"type": "Python"
} | import glob
import os
from collections import defaultdict
import numpy as np
from yt.data_objects.static_output import ParticleDataset, ParticleFile
from yt.frontends.gadget.data_structures import _fix_unit_ordering
from yt.funcs import only_on_root, setdefaultattr
from yt.geometry.particle_geometry_handler import Pa... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@owls_subfind@data_structures.py@.PATH_END.py |
{
"filename": "post_training_integer_quant.ipynb",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/performance/post_training_integer_quant.ipynb",
"type": "Jupyter Notebook"
} | ##### Copyright 2024 The AI Edge Authors.
```
#@title 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 ag... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@performance@post_training_integer_quant.ipynb@.PATH_END.py |
{
"filename": "example_fit.py",
"repo_name": "NumCosmo/NumCosmo",
"repo_path": "NumCosmo_extracted/NumCosmo-master/examples/pydata_simple/example_fit.py",
"type": "Python"
} | #!/usr/bin/env python
#
# example_fit.py
#
# Mon May 22 16:00:00 2023
# Copyright 2023 Sandro Dias Pinto Vitenti
# <vitenti@uel.br>
#
# example_fit.py
# Copyright (C) 2023 Sandro Dias Pinto Vitenti <vitenti@uel.br>
#
# numcosmo is free software: you can redistribute it and/or modify it
# under the terms of the GNU Ge... | NumCosmoREPO_NAMENumCosmoPATH_START.@NumCosmo_extracted@NumCosmo-master@examples@pydata_simple@example_fit.py@.PATH_END.py |
{
"filename": "_range.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/aaxis/_range.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="range", parent_name="carpet.aaxis", **kwargs):
super(RangeValidator, 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@carpet@aaxis@_range.py@.PATH_END.py |
{
"filename": "chandra_global.py",
"repo_name": "chandra-marx/marxs",
"repo_path": "marxs_extracted/marxs-main/marxs/missions/chandra/chandra_global.py",
"type": "Python"
} | # Licensed under GPL version 3 - see LICENSE.rst
import numpy as np
from .fitsheaders import complete_header
from ...simulator import Sequence
class Chandra(Sequence):
'''Main class representing the Chandra X-ray observatory
'''
def process_photons(self, photons):
photons.meta['MISSION'] = ('A... | chandra-marxREPO_NAMEmarxsPATH_START.@marxs_extracted@marxs-main@marxs@missions@chandra@chandra_global.py@.PATH_END.py |
{
"filename": "kernel.py",
"repo_name": "AstroVPK/kali",
"repo_path": "kali_extracted/kali-master/python/kali/kernel.py",
"type": "Python"
} | import math
import cmath
import numpy as np
import pdb
class Kernel(object):
def __init__(self):
pass
def __call__():
pass
class Lanczos(Kernel):
def __init__(self, a=3):
self.a = a
def _lanczos(self, z):
if z == 0.0:
return 1.0
elif math.fabs(... | AstroVPKREPO_NAMEkaliPATH_START.@kali_extracted@kali-master@python@kali@kernel.py@.PATH_END.py |
{
"filename": "data_structures.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/enzo_e/data_structures.py",
"type": "Python"
} | import os
from functools import cached_property
import numpy as np
from yt.data_objects.index_subobjects.grid_patch import AMRGridPatch
from yt.data_objects.static_output import Dataset
from yt.fields.field_info_container import NullFunc
from yt.frontends.enzo.misc import cosmology_get_units
from yt.frontends.enzo_e.... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@enzo_e@data_structures.py@.PATH_END.py |
{
"filename": "_separatethousands.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/aaxis/_separatethousands.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SeparatethousandsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="separatethousands",
parent_name="layout.ternary.aaxis",
**kwargs,
):
super(SeparatethousandsValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@aaxis@_separatethousands.py@.PATH_END.py |
{
"filename": "test_addtask.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/com/win32comext/taskscheduler/test/test_addtask.py",
"type": "Python"
} | import os
import sys
import time
import pythoncom
import win32api
from win32com.taskscheduler import taskscheduler
task_name = "test_addtask.job"
ts = pythoncom.CoCreateInstance(
taskscheduler.CLSID_CTaskScheduler,
None,
pythoncom.CLSCTX_INPROC_SERVER,
taskscheduler.IID_ITaskScheduler,
)
tasks = ts.En... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@com@win32comext@taskscheduler@test@test_addtask.py@.PATH_END.py |
{
"filename": "test_baccoemu.py",
"repo_name": "LSSTDESC/CCL",
"repo_path": "CCL_extracted/CCL-master/pyccl/tests/test_baccoemu.py",
"type": "Python"
} | import numpy as np
import pyccl as ccl
import pytest
BEMULIN_TOLERANCE = 1e-3
BEMUNL_TOLERANCE = 5e-3
BEMBAR_TOLERANCE = 1e-3
def test_baccoemu_linear_As_sigma8():
bemu = ccl.BaccoemuLinear()
cosmo1 = ccl.Cosmology(
Omega_c=0.27,
Omega_b=0.05,
h=0.67,
sigma8=0.83,
n_s... | LSSTDESCREPO_NAMECCLPATH_START.@CCL_extracted@CCL-master@pyccl@tests@test_baccoemu.py@.PATH_END.py |
{
"filename": "calib_params.py",
"repo_name": "RTIP/artip",
"repo_path": "artip_extracted/artip-master/src/main/python/models/calib_params.py",
"type": "Python"
} | from collections import namedtuple
CalibParams = namedtuple('CalibParams', 'channel, width, minsnr, solint') | RTIPREPO_NAMEartipPATH_START.@artip_extracted@artip-master@src@main@python@models@calib_params.py@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "BradGreig/21CMMC",
"repo_path": "21CMMC_extracted/21CMMC-master/21CMMC_SourceCode/Programs/CosmoHammer_21CMMC/emcee/utils.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (division, print_function, absolute_import,
unicode_literals)
__all__ = ["sample_ball", "MH_proposal_axisaligned"]
import numpy as np
# If mpi4py is installed, import it.
try:
from mpi4py import MPI
MPI = MPI
excep... | BradGreigREPO_NAME21CMMCPATH_START.@21CMMC_extracted@21CMMC-master@21CMMC_SourceCode@Programs@CosmoHammer_21CMMC@emcee@utils.py@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcats/line/colorbar/tickformatstop/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="parcats.line.colorbar.tickformatstop",
**kwargs,
):
super(TemplateitemnameValidator, self)... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcats@line@colorbar@tickformatstop@_templateitemname.py@.PATH_END.py |
{
"filename": "plot.ipynb",
"repo_name": "zenitani/OpenMHD",
"repo_path": "OpenMHD_extracted/OpenMHD-master/2D_basic_gpu/plot.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
import openmhd
# dummy index
vx=0;vy=1;vz=2;pr=3;ro=4;bx=5;by=6;bz=7;ps=8
# reading the data ...
x,y,t,data = openmhd.data_read("data/field-00020.dat")
# reading the data (partial domain: [ix1,ix2] x [jx1,jx2])
# x,y,t,data = openmhd.data_... | zenitaniREPO_NAMEOpenMHDPATH_START.@OpenMHD_extracted@OpenMHD-master@2D_basic_gpu@plot.ipynb@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/legendgrouptitle/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="histogram.legendgrouptitle.font",
**kwargs,
):
super(TextcaseValidator, self).__init__(
pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram@legendgrouptitle@font@_textcase.py@.PATH_END.py |
{
"filename": "node.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/master/api/node.py",
"type": "Python"
} | ###############################################################################
#
# Crossbar.io Master
# Copyright (c) typedef int GmbH. Licensed under EUPLv1.2.
#
###############################################################################
from crossbar.master.api.remote import RemoteApi
__all__ = ('RemoteNodeApi... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@master@api@node.py@.PATH_END.py |
{
"filename": "test_classifier.py",
"repo_name": "dtamayo/spock",
"repo_path": "spock_extracted/spock-master/spock/test/test_classifier.py",
"type": "Python"
} | import unittest
import os
import rebound
import pandas as pd
import numpy as np
from sklearn import metrics
from sklearn.metrics import roc_curve, confusion_matrix, auc
from spock import FeatureClassifier, NbodyRegressor
from spock.feature_functions import get_tseries
from spock.simsetup import init_sim_parameters
de... | dtamayoREPO_NAMEspockPATH_START.@spock_extracted@spock-master@spock@test@test_classifier.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/library/cpp/testing/hook/README.md",
"type": "Markdown"
} | # Hook for google benchmark and gtest
Y_TEST_HOOK_BEFORE_INIT - Π²ΡΠ·ΡΠ²Π°Π΅ΡΡΡ ΠΏΠ΅ΡΠ΅Π΄ ΠΈΠ½ΠΈΡΠΈΠ°Π»ΠΈΠ·Π°ΡΠΈΠ΅ΠΉ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠ΅Π³ΠΎ ΡΡΠ΅ΠΉΠΌΠ²ΠΎΡΠΊΠ°
Y_TEST_HOOK_BEFORE_RUN - Π²ΡΠ·ΡΠ²Π°Π΅ΡΡΡ ΠΏΠ΅ΡΠ΅Π΄ Π·Π°ΠΏΡΡΠΊΠΎΠΌ ΡΠ΅ΡΡΠΎΠ²
Y_TEST_HOOK_AFTER_RUN - Π²ΡΠ·ΡΠ²Π°Π΅ΡΡΡ Π²ΡΠ΅Π³Π΄Π° ΠΏΠΎΡΠ»Π΅ Π·Π°Π²Π΅ΡΡΠ΅Π½ΠΈΡ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠ΅ΡΡΠΎΠ²,
Π΅ΡΠ»ΠΈ ΡΡΠ°ΠΏ ΠΈΠ½ΠΈΡΠΈΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π±ΡΠ» ΡΡΠΏΠ΅ΡΠ½... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@library@cpp@testing@hook@README.md@.PATH_END.py |
{
"filename": "test_rp_pi_tpcf.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/two_point_clustering/tests/test_rp_pi_tpcf.py",
"type": "Python"
} | """ Module provides unit-testing for the `~halotools.mock_observables.rp_pi_tpcf` function.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.utils.misc import NumpyRNGContext
from ..rp_pi_tpcf import rp_pi_tpcf
__all__ = ('test_rp_pi_tpcf_auto_non... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@two_point_clustering@tests@test_rp_pi_tpcf.py@.PATH_END.py |
{
"filename": "pdf.py",
"repo_name": "duvall3/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Tool/pdf.py",
"type": "Python"
} | """SCons.Tool.pdf
Common PDF Builder definition for various other Tool modules that use it.
Add an explicit action to run epstopdf to convert .eps files to .pdf
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 The SCons Foundation
#
# Permission is hereby granted, free of charge, to any per... | duvall3REPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Tool@pdf.py@.PATH_END.py |
{
"filename": "0007_auto_20160322_1545.py",
"repo_name": "ratt-ru/rodrigues",
"repo_path": "rodrigues_extracted/rodrigues-master/scheduler/migrations/0007_auto_20160322_1545.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-22 13:45
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('scheduler', '0006_auto_20160322_1441'),... | ratt-ruREPO_NAMErodriguesPATH_START.@rodrigues_extracted@rodrigues-master@scheduler@migrations@0007_auto_20160322_1545.py@.PATH_END.py |
{
"filename": "_uid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contourcarpet/_uid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="contourcarpet", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contourcarpet@_uid.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jbjolly/LineStacker",
"repo_path": "LineStacker_extracted/LineStacker-master/LineStacker/analysisTools/__init__.py",
"type": "Python"
} | '''
**LineStacker.analysisTools Module:**\n
Module containing statistical/analysis tools for stacking.
'''
import sys
import numpy as np
def bootstraping_OneD( Images,
nRandom=1000,
chansStack='full',
method='mean',
cen... | jbjollyREPO_NAMELineStackerPATH_START.@LineStacker_extracted@LineStacker-master@LineStacker@analysisTools@__init__.py@.PATH_END.py |
{
"filename": "test_targetids.py",
"repo_name": "desihub/desitarget",
"repo_path": "desitarget_extracted/desitarget-main/py/desitarget/test/test_targetids.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""Test desitarget.targets targetid encode/decode
"""
import unittest
import numpy as np
from desitarget.targets import (encode_negative_targetid,
decode_negative_targetid)
class TestTargetID(unitt... | desihubREPO_NAMEdesitargetPATH_START.@desitarget_extracted@desitarget-main@py@desitarget@test@test_targetids.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/non_linear/paths/__init__.py",
"type": "Python"
} | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@non_linear@paths@__init__.py@.PATH_END.py | |
{
"filename": "fixtures.py",
"repo_name": "gwpy/gwpy",
"repo_path": "gwpy_extracted/gwpy-main/gwpy/testing/fixtures.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) Duncan Macleod (2018-2020)
#
# This file is part of GWpy.
#
# GWpy 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 option)... | gwpyREPO_NAMEgwpyPATH_START.@gwpy_extracted@gwpy-main@gwpy@testing@fixtures.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "QEF/q-e",
"repo_path": "q-e_extracted/q-e-master/QEHeat/examples/README.md",
"type": "Markdown"
} | # INSTALLATION OVERVIEW
Before running the examples, you need to be sure that QEHeat is installed.
To compile, we suggest the following procedure. As usual in a QuantumEspresso installation, enter the distribution folder and run autoconf :
```
> ./configure
```
Than from the distribution folder:
```
> make al... | QEFREPO_NAMEq-ePATH_START.@q-e_extracted@q-e-master@QEHeat@examples@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/pyvo",
"repo_path": "pyvo_extracted/pyvo-main/pyvo/registry/tests/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
| astropyREPO_NAMEpyvoPATH_START.@pyvo_extracted@pyvo-main@pyvo@registry@tests@__init__.py@.PATH_END.py |
{
"filename": "test_logging.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/util/tests/test_logging.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
import logging
from vispy.util import logger, use_log_level
from vispy.testing import (assert_in, assert_not_in, run_tests_if_main,
assert_equal)
... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@util@tests@test_logging.py@.PATH_END.py |
{
"filename": "_valueminus.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/error_y/_valueminus.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="valueminus", parent_name="scatter.error_y", **kwargs
):
super(ValueminusValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@error_y@_valueminus.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "smsharma/fermi-gce-flows",
"repo_path": "fermi-gce-flows_extracted/fermi-gce-flows-main/sbi/neural_nets/__init__.py",
"type": "Python"
} | smsharmaREPO_NAMEfermi-gce-flowsPATH_START.@fermi-gce-flows_extracted@fermi-gce-flows-main@sbi@neural_nets@__init__.py@.PATH_END.py | |
{
"filename": "_color.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/legend/title/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="layout.legend.title.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@legend@title@font@_color.py@.PATH_END.py |
{
"filename": "demo_spherical_convolution.ipynb",
"repo_name": "deepsphere/deepsphere-cosmo-tf1",
"repo_path": "deepsphere-cosmo-tf1_extracted/deepsphere-cosmo-tf1-master/demo_spherical_convolution.ipynb",
"type": "Jupyter Notebook"
} | # [DeepSphere]: a spherical convolutional neural network
[DeepSphere]: https://github.com/SwissDataScienceCenter/DeepSphere
[NathanaΓ«l Perraudin](https://perraudin.info), [MichaΓ«l Defferrard](http://deff.ch), Tomasz Kacprzak, Raphael Sgier
# Demo: spherical convolution
In this small notebook, we test an implementati... | deepsphereREPO_NAMEdeepsphere-cosmo-tf1PATH_START.@deepsphere-cosmo-tf1_extracted@deepsphere-cosmo-tf1-master@demo_spherical_convolution.ipynb@.PATH_END.py |
{
"filename": "test_superrest_frame.py",
"repo_name": "moble/scri",
"repo_path": "scri_extracted/scri-main/tests/test_superrest_frame.py",
"type": "Python"
} | import scri
import pytest
import numpy as np
import spinsfast
import spherical_functions as sf
import quaternion
from quaternion.calculus import derivative
ABD = scri.AsymptoticBondiData
def kerr_schild(mass, spin, ell_max=8):
psi2 = np.zeros(sf.LM_total_size(0, ell_max), dtype=complex)
psi1 = np.zeros(sf.LM... | mobleREPO_NAMEscriPATH_START.@scri_extracted@scri-main@tests@test_superrest_frame.py@.PATH_END.py |
{
"filename": "fitter_chi_squared.py",
"repo_name": "CU-NESS/pylinex",
"repo_path": "pylinex_extracted/pylinex-master/examples/fitter/fitter_chi_squared.py",
"type": "Python"
} | """
File: examples/fitter/fitter_chi_squared.py
Author: Keith Tauscher
Date: 10 Apr 2021
Description: Example showing how the reduced_chi_squared and
reduced_chi_squared_expected_distribution properties of the Fitter
class behave.
"""
import numpy as np
import matplotlib.pyplot as pl
from dis... | CU-NESSREPO_NAMEpylinexPATH_START.@pylinex_extracted@pylinex-master@examples@fitter@fitter_chi_squared.py@.PATH_END.py |
{
"filename": "npe.ipynb",
"repo_name": "changhoonhahn/haloflow",
"repo_path": "haloflow_extracted/haloflow-main/nb/npe.ipynb",
"type": "Jupyter Notebook"
} | # estimate $p(M_*, M_h | {\rm photometry})$ using NPE for central subhalos
using forward modeled photometry constructed from TNG subhalos
```python
import os, h5py
import numpy as np
from astropy import table as aTable
from tqdm.notebook import tqdm, trange
```
```python
import torch
from sbi import utils as Ut
fr... | changhoonhahnREPO_NAMEhaloflowPATH_START.@haloflow_extracted@haloflow-main@nb@npe.ipynb@.PATH_END.py |
{
"filename": "simuWrapper.py",
"repo_name": "lsstdesc/sn_pipe",
"repo_path": "sn_pipe_extracted/sn_pipe-master/run_scripts/simulation/simuWrapper.py",
"type": "Python"
} | from sn_simu_wrapper.sn_simu import SNSimulation
import numpy as np
import yaml
import os
from sn_tools.sn_io import check_get_file
class MakeYaml:
"""
class to generate a yaml file from a generic one
Parameters
---------------
dbDir: str
location dir of the database
dbName: str
O... | lsstdescREPO_NAMEsn_pipePATH_START.@sn_pipe_extracted@sn_pipe-master@run_scripts@simulation@simuWrapper.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/legendgrouptitle/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="text", parent_name="icicle.legendgrouptitle", **kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@icicle@legendgrouptitle@_text.py@.PATH_END.py |
{
"filename": "cohere_rerank.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/retrievers/document_compressors/cohere_rerank.py",
"type": "Python"
} | from __future__ import annotations
from copy import deepcopy
from typing import Any, Dict, List, Optional, Sequence, Union
from langchain_core._api.deprecation import deprecated
from langchain_core.callbacks.manager import Callbacks
from langchain_core.documents import Document
from langchain_core.utils import get_fr... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@retrievers@document_compressors@cohere_rerank.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "franciscovillaescusa/Pylians3",
"repo_path": "Pylians3_extracted/Pylians3-master/library/Pk_library/__init__.py",
"type": "Python"
} | __all__ = ['Pk_library','Pk_snapshot']
from .Pk_library import *
from .Pk_snapshot import *
from .bispectrum_library import *
| franciscovillaescusaREPO_NAMEPylians3PATH_START.@Pylians3_extracted@Pylians3-master@library@Pk_library@__init__.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "exo-cesm/CESM2.1.3",
"repo_path": "CESM2.1.3_extracted/CESM2.1.3-main/Tidally_locked_exoplanets/cases/TP_1_e_SSPO_P19_1pc/README.md",
"type": "Markdown"
} | # TRAPPIST-1 e (W21 spectrum, 1% PAL of oxygen, with the substellar point over ocean) case setup instructions
## If setting the case up on ARC4:
run buildcase_TP_1_e_SSPO_W21_1pc. A case will be created with the name b.e21.BWma1850.f19_g17.TRAPPIST1_e.SSPO.W21.1pc_o2.my_case.001. Change the name in buildcase_TP_1_e_S... | exo-cesmREPO_NAMECESM2.1.3PATH_START.@CESM2.1.3_extracted@CESM2.1.3-main@Tidally_locked_exoplanets@cases@TP_1_e_SSPO_P19_1pc@README.md@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "benrendle/AIMS",
"repo_path": "AIMS_extracted/AIMS-master/AIMS_v1.2/model.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
# $Id: model.py
# Author: Daniel R. Reese <daniel.reese@obspm.fr>
# Copyright (C) Daniel R. Reese and contributors
# Copyright license: GNU GPL v3.0
#
# AIMS is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as publis... | benrendleREPO_NAMEAIMSPATH_START.@AIMS_extracted@AIMS-master@AIMS_v1.2@model.py@.PATH_END.py |
{
"filename": "egg_info.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py3/setuptools/command/egg_info.py",
"type": "Python"
} | """setuptools.command.egg_info
Create a distribution's .egg-info directory and contents"""
from distutils.filelist import FileList as _FileList
from distutils.errors import DistutilsInternalError
from distutils.util import convert_path
from distutils import log
import distutils.errors
import distutils.filelist
import... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py3@setuptools@command@egg_info.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/contours/x/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._width import WidthValidator
from ._usecolormap import UsecolormapValidator
from ._start import StartValidator
from ._size import SizeValidator
from ._show import ShowValidator
from ._project import ProjectValidator
from ._highlightwidth import... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@contours@x@__init__.py@.PATH_END.py |
{
"filename": "test_series_apply_relabeling.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/apply/test_series_apply_relabeling.py",
"type": "Python"
} | import pandas as pd
import pandas._testing as tm
def test_relabel_no_duplicated_method():
# this is to test there is no duplicated method used in agg
df = pd.DataFrame({"A": [1, 2, 1, 2], "B": [1, 2, 3, 4]})
result = df["A"].agg(foo="sum")
expected = df["A"].agg({"foo": "sum"})
tm.assert_series_e... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@apply@test_series_apply_relabeling.py@.PATH_END.py |
{
"filename": "_dtick.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymapbox/colorbar/_dtick.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="dtick", parent_name="densitymapbox.colorbar", **kwargs
):
super(DtickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymapbox@colorbar@_dtick.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/datasets/elec_equip/__init__.py",
"type": "Python"
} | __all__ = ["load", "load_pandas",
"COPYRIGHT", "TITLE", "SOURCE", "DESCRSHORT", "DESCRLONG", "NOTE"]
from .data import (
load, load_pandas,
COPYRIGHT, TITLE, SOURCE, DESCRSHORT, DESCRLONG, NOTE)
| statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@datasets@elec_equip@__init__.py@.PATH_END.py |
{
"filename": "npyio.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/numpy/lib/npyio.py",
"type": "Python"
} | from __future__ import division, absolute_import, print_function
import io
import sys
import os
import re
import itertools
import warnings
import weakref
from operator import itemgetter, index as opindex
import numpy as np
from . import format
from ._datasource import DataSource
from numpy.core.multiarray import pack... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@numpy@lib@npyio.py@.PATH_END.py |
{
"filename": "build.py",
"repo_name": "AFD-Illinois/ebhlight",
"repo_path": "ebhlight_extracted/ebhlight-master/prob/comptonization/build.py",
"type": "Python"
} | ################################################################################
# #
# OPTICALLY THIN BREMSSTRAHLUNG COOLING #
# ... | AFD-IllinoisREPO_NAMEebhlightPATH_START.@ebhlight_extracted@ebhlight-master@prob@comptonization@build.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "LSSTDESC/gen3_workflow",
"repo_path": "gen3_workflow_extracted/gen3_workflow-master/python/desc/__init__.py",
"type": "Python"
} | import pkgutil
__path__ = pkgutil.extend_path(__path__, __name__)
| LSSTDESCREPO_NAMEgen3_workflowPATH_START.@gen3_workflow_extracted@gen3_workflow-master@python@desc@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/io/sas/__init__.py",
"type": "Python"
} | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@io@sas@__init__.py@.PATH_END.py | |
{
"filename": "_lenmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/slider/_lenmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="lenmode", parent_name="layout.slider", **kwargs):
super(LenmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@slider@_lenmode.py@.PATH_END.py |
{
"filename": "cvlimitedgravity.ipynb",
"repo_name": "reggiebernardo/PTAfast",
"repo_path": "PTAfast_extracted/PTAfast-main/app3_cvlimitedgravity/cvlimitedgravity.ipynb",
"type": "Jupyter Notebook"
} | ```python
!pip install PTAfast
```
## Testing gravity with cosmic variance-limited PTA measurements
```python
import os # requires *full path*
%matplotlib inline
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1.inset_locator import inset_axes # for insets, if needed
import numpy as np
from PTAfast... | reggiebernardoREPO_NAMEPTAfastPATH_START.@PTAfast_extracted@PTAfast-main@app3_cvlimitedgravity@cvlimitedgravity.ipynb@.PATH_END.py |
{
"filename": "test_testing.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/utils/tests/test_testing.py",
"type": "Python"
} | import atexit
import os
import warnings
import numpy as np
import pytest
from scipy import sparse
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.tree import DecisionTreeClassifier
from sklearn.utils._testing import (
TempMemmap,
_convert_container,
_delete_folder,
_g... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@utils@tests@test_testing.py@.PATH_END.py |
{
"filename": "apps.py",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/webserver/lasair/apps/filter_query/apps.py",
"type": "Python"
} | from django.apps import AppConfig
class FilterConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'lasair.apps.filter_query'
| lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@webserver@lasair@apps@filter_query@apps.py@.PATH_END.py |
{
"filename": "plot_haar.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/doc/examples/features_detection/plot_haar.py",
"type": "Python"
} | """
============================
Haar-like feature descriptor
============================
Haar-like features are simple digital image features that were introduced in a
real-time face detector [1]_. These features can be efficiently computed on any
scale in constant time, using an integral image [1]_. After that, a s... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@doc@examples@features_detection@plot_haar.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/funnel/marker/colorbar/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "funnel.marker.colorbar"
_path_str = "funnel.marker.colorbar.tickfont"
_valid_props = {"col... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@funnel@marker@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "ddfixfreq.py",
"repo_name": "plazar/TOASTER",
"repo_path": "TOASTER_extracted/TOASTER-master/manipulators/ddfixfreq.py",
"type": "Python"
} | """Set the centre frequency of an archive, dedisperse and fully scrunch.
"""
import manipulators
plugin_name = 'ddfixfreq'
def manipulate(infns, outname, ctrfreq, dm=None):
"""Set centre frequency of the archive and dedisperse
and scrunch fully.
Input:
infns: A list of file names... | plazarREPO_NAMETOASTERPATH_START.@TOASTER_extracted@TOASTER-master@manipulators@ddfixfreq.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/indicator/gauge/bar/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="indicator.gauge.bar", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@indicator@gauge@bar@_line.py@.PATH_END.py |
{
"filename": "_colorbar.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/contour/_colorbar.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "contour"
_path_str = "contour.colorbar"
_valid_props = {
"bgcolor",
"borde... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@contour@_colorbar.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/choropleth/legendgrouptitle/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "choropleth.legendgrouptitle"
_path_str = "choropleth.legendgrouptitle.font"
_valid_props = {
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@choropleth@legendgrouptitle@_font.py@.PATH_END.py |
{
"filename": "recipe_summary.py",
"repo_name": "igrins/plp",
"repo_path": "plp_extracted/plp-master/igrins/igrins_recipes/recipe_summary.py",
"type": "Python"
} | import numpy as np
from itertools import cycle
def make_tuple(row):
return [(row["GROUP1"],
row["EXPTIME"],
row["FRAMETYPES"].count("OFF"),
row["FRAMETYPES"].count("ON"),
len(row["OBSIDS"]))]
def in_between(v, vmin, vmax):
return vmin <= v <= vmax
def g... | igrinsREPO_NAMEplpPATH_START.@plp_extracted@plp-master@igrins@igrins_recipes@recipe_summary.py@.PATH_END.py |
{
"filename": "elixir.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_loaders/parsers/language/elixir.py",
"type": "Python"
} | from typing import TYPE_CHECKING
from langchain_community.document_loaders.parsers.language.tree_sitter_segmenter import ( # noqa: E501
TreeSitterSegmenter,
)
if TYPE_CHECKING:
from tree_sitter import Language
CHUNK_QUERY = """
[
(call target: ((identifier) @_identifier
(#any-of? @_... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_loaders@parsers@language@elixir.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "fkeruzore/picasso",
"repo_path": "picasso_extracted/picasso-main/picasso/utils/__init__.py",
"type": "Python"
} | __author__ = "Florian KΓ©ruzorΓ©"
__email__ = "florian.keruzore@gmail.com"
__all__ = [
"sph",
"transform_minmax",
"inv_transform_minmax",
"quantile_normalization",
]
from . import sph
from .data_preparation import (
transform_minmax,
inv_transform_minmax,
quantile_normalization,
)
| fkeruzoreREPO_NAMEpicassoPATH_START.@picasso_extracted@picasso-main@picasso@utils@__init__.py@.PATH_END.py |
{
"filename": "tr_interior_point.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py2/scipy/optimize/_trustregion_constr/tr_interior_point.py",
"type": "Python"
} | """Trust-region interior point method.
References
----------
.. [1] Byrd, Richard H., Mary E. Hribar, and Jorge Nocedal.
"An interior point algorithm for large-scale nonlinear
programming." SIAM Journal on Optimization 9.4 (1999): 877-900.
.. [2] Byrd, Richard H., Guanghui Liu, and Jorge Nocedal.
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py2@scipy@optimize@_trustregion_constr@tr_interior_point.py@.PATH_END.py |
{
"filename": "test_base.py",
"repo_name": "cosmodesi/cosmoprimo",
"repo_path": "cosmoprimo_extracted/cosmoprimo-main/cosmoprimo/emulators/tests/test_base.py",
"type": "Python"
} | import os
import numpy as np
import jax
from jax import numpy as jnp
from cosmoprimo.fiducial import DESI
from cosmoprimo.emulators import Emulator, EmulatedEngine, setup_logging
emulator_dir = '_tests'
emulator_fn = os.path.join(emulator_dir, 'emu.npy')
def test_base():
cosmo = DESI()
params = {'Omega_cd... | cosmodesiREPO_NAMEcosmoprimoPATH_START.@cosmoprimo_extracted@cosmoprimo-main@cosmoprimo@emulators@tests@test_base.py@.PATH_END.py |
{
"filename": "_source.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/image/_source.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SourceValidator(_plotly_utils.basevalidators.ImageUriValidator):
def __init__(self, plotly_name="source", parent_name="layout.image", **kwargs):
super(SourceValidator, 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@image@_source.py@.PATH_END.py |
{
"filename": "additional-parameters__pmml__possible-values__list-only.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-export-formats/additional-parameters__pmml__possible-values__list-only.md",
"type": "Markdown"
} |
- `pmml_copyright`
- `pmml_description`
- `pmml_model_version`
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-export-formats@additional-parameters__pmml__possible-values__list-only.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/com/win32comext/shell/__init__.py",
"type": "Python"
} | # See if we have a special directory for the binaries (for developers)
import win32com
win32com.__PackageSupportBuildPath__(__path__)
| mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@com@win32comext@shell@__init__.py@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/funnelarea/title/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self, plotly_name="lineposition", parent_name="funnelarea.title.font", **kwargs
):
super(LinepositionValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@funnelarea@title@font@_lineposition.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/configs/default/plugins/metadata_viewer/__init__.py",
"type": "Python"
} | from .metadata_viewer import * # noqa
| spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@configs@default@plugins@metadata_viewer@__init__.py@.PATH_END.py |
{
"filename": "lcdcpicker_dialog.py",
"repo_name": "Varnani/pywd2015-qt5",
"repo_path": "pywd2015-qt5_extracted/pywd2015-qt5-master/gui/lcdcpicker_dialog.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'lcdcpicker_dialog.ui'
#
# Created by: PyQt5 UI code generator 5.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_LCDCPickerDialog(object):
def setupUi(self, LCDCPickerDia... | VarnaniREPO_NAMEpywd2015-qt5PATH_START.@pywd2015-qt5_extracted@pywd2015-qt5-master@gui@lcdcpicker_dialog.py@.PATH_END.py |
{
"filename": "feature_request.md",
"repo_name": "ratt-ru/QuartiCal",
"repo_path": "QuartiCal_extracted/QuartiCal-main/.github/ISSUE_TEMPLATE/feature_request.md",
"type": "Markdown"
} | ---
name: Feature Request
about: Help us improve by telling us what you need.
title: ''
labels: ''
assignees: ''
---
**Describe the problem that the feature should address**
A clear and concise description of what the problem/missing functionality is.
**Describe the solution you'd like**
A clear and concise descript... | ratt-ruREPO_NAMEQuartiCalPATH_START.@QuartiCal_extracted@QuartiCal-main@.github@ISSUE_TEMPLATE@feature_request.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "arviz-devs/arviz",
"repo_path": "arviz_extracted/arviz-main/arviz/tests/base_tests/__init__.py",
"type": "Python"
} | """Base test suite."""
| arviz-devsREPO_NAMEarvizPATH_START.@arviz_extracted@arviz-main@arviz@tests@base_tests@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcats/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@parcats@tickfont@__init__.py@.PATH_END.py |
{
"filename": "distances.ipynb",
"repo_name": "classULDM/class.SFDM",
"repo_path": "class.SFDM_extracted/class.SFDM-master/notebooks/distances.ipynb",
"type": "Jupyter Notebook"
} | ```python
# import necessary modules
# uncomment to get plots displayed in notebook
%matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from classy import Class
```
```python
font = {'size' : 20, 'family':'STIXGeneral'}
axislabelfontsize='large'
matplotlib.rc('font', **font)
matp... | classULDMREPO_NAMEclass.SFDMPATH_START.@class.SFDM_extracted@class.SFDM-master@notebooks@distances.ipynb@.PATH_END.py |
{
"filename": "models.py",
"repo_name": "juanep97/iop4",
"repo_path": "iop4_extracted/iop4-main/iop4api/models.py",
"type": "Python"
} | from django.db import models
# Create your models here.
from iop4lib.db import *
| juanep97REPO_NAMEiop4PATH_START.@iop4_extracted@iop4-main@iop4api@models.py@.PATH_END.py |
{
"filename": "DEVELOPERS.md",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/docs-cfx/DEVELOPERS.md",
"type": "Markdown"
} | # Crossbar.io Fabric Dev Docs
Some docs and hints for Crossbar.io Fabric developers.
## Master node controller components
The main controlling component on
* :class:`crossbarfx.master.node.node.FabricCenterNode`
* :class:`crossbarfx.master.node.node.FabricServiceNodeManager`
_initialize_mrealms
## Environment
```... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@docs-cfx@DEVELOPERS.md@.PATH_END.py |
{
"filename": "trifinder.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py2/matplotlib/tri/trifinder.py",
"type": "Python"
} | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from matplotlib.tri import Triangulation
import matplotlib._tri as _tri
import numpy as np
class TriFinder(object):
"""
Abstract base class for classes used to find the triangles of a
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py2@matplotlib@tri@trifinder.py@.PATH_END.py |
{
"filename": "queryaverage.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/references/queryaverage.md",
"type": "Markdown"
} | # {{ error-function__QueryAverage }}
- [{{ title__loss-functions__calculation-principles }}](#calculation)
- [{{ title__loss-functions__text__user-defined-params }}](#user-defined-parameters)
## {{ title__loss-functions__calculation-principles }} {#calculation}
{% include [loss-functions-function-calculation](../_in... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@references@queryaverage.md@.PATH_END.py |
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