metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "util_runtime_type_check_test.py",
"repo_name": "alliedvision/VimbaPython",
"repo_path": "VimbaPython_extracted/VimbaPython-master/Tests/basic_tests/util_runtime_type_check_test.py",
"type": "Python"
} | """BSD 2-Clause License
Copyright (c) 2019, Allied Vision Technologies GmbH
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, thi... | alliedvisionREPO_NAMEVimbaPythonPATH_START.@VimbaPython_extracted@VimbaPython-master@Tests@basic_tests@util_runtime_type_check_test.py@.PATH_END.py |
{
"filename": "paper-M2.py",
"repo_name": "AMReX-Astro/Castro",
"repo_path": "Castro_extracted/Castro-main/Exec/radiation_tests/Rad2Tshock/python/paper-M2.py",
"type": "Python"
} | #!/usr/bin/python
import cPickle as pickle
from pylab import *
from read_gnu import *
import phys
Er, x, t = read_gnu_file('../run-M2/Er_2000.gnu')
rho, x, t = read_gnu_file('../run-M2/dens_2000.gnu')
v, x, t = read_gnu_file('../run-M2/vx_2000.gnu')
Temp, x, t = read_gnu_file('../run-M2/Temp_2000.gnu')
print t
x += ... | AMReX-AstroREPO_NAMECastroPATH_START.@Castro_extracted@Castro-main@Exec@radiation_tests@Rad2Tshock@python@paper-M2.py@.PATH_END.py |
{
"filename": "data_manager.py",
"repo_name": "dnarayanan/caesar",
"repo_path": "caesar_extracted/caesar-master/caesar/data_manager.py",
"type": "Python"
} | import numpy as np
from yt.funcs import mylog
from caesar.property_manager import ptype_ints, ptype_aliases, get_particles_for_FOF, get_property, has_property
from caesar.utils import memlog
from caesar.property_manager import MY_DTYPE
class DataManager(object):
"""Class to handle the initial IO and data storage ... | dnarayananREPO_NAMEcaesarPATH_START.@caesar_extracted@caesar-master@caesar@data_manager.py@.PATH_END.py |
{
"filename": "trades_pyde_analysis-checkpoint.ipynb",
"repo_name": "lucaborsato/trades",
"repo_path": "trades_extracted/trades-master/trades_example/python_examples/.ipynb_checkpoints/trades_pyde_analysis-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | # TRADES DE plots and run
```python
import numpy as np
import os
import sys
```
```python
trades_path = os.path.abspath(
"/path/to/trades/folder"
)
pytrades_path = os.path.join(
trades_path,
"pytrades"
)
sys.path.append(pytrades_path)
import ancillary as anc
import constants as cst
from de_plot import D... | lucaborsatoREPO_NAMEtradesPATH_START.@trades_extracted@trades-master@trades_example@python_examples@.ipynb_checkpoints@trades_pyde_analysis-checkpoint.ipynb@.PATH_END.py |
{
"filename": "PressureResolutionStudy.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/EQUATIONS/FOR_RESOLUTION_STUDY/PressureResolutionStudy.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@PressureResolutionStudy.py@.PATH_END.py |
{
"filename": "inspect_GALEX.ipynb",
"repo_name": "rbuehler/vasca",
"repo_path": "vasca_extracted/vasca-main/vasca/examples/inspect_GALEX.ipynb",
"type": "Jupyter Notebook"
} | # Notebook to query GALEX field and visit information
```python
GALEX_FOV_DIAM = 1.0
exp_mean_min = 800
nr_vis_min = 10 # >=
surveys = ["AIS","MIS","DIS","CAI" ,"NGS","GII"] # "AIS",,"CAI" ,"NGS", ,"GII"
fout_name_base = "none"
fout_name_add = ''.join(surveys)+"_exp"+str(exp_mean_min)+"_vis"+str(nr_vis_min)
fout_na... | rbuehlerREPO_NAMEvascaPATH_START.@vasca_extracted@vasca-main@vasca@examples@inspect_GALEX.ipynb@.PATH_END.py |
{
"filename": "orbit.py",
"repo_name": "mikecokina/elisa",
"repo_path": "elisa_extracted/elisa-master/src/elisa/single_system/orbit/orbit.py",
"type": "Python"
} | import numpy as np
from . transform import OrbitProperties
from ... import (
const as c,
units as u,
utils
)
from ...base.orbit.orbit import AbstractOrbit
from ... logger import getLogger
logger = getLogger('single_system.orbit.orbit')
def angular_velocity(rotation_period):
"""
Rotational angula... | mikecokinaREPO_NAMEelisaPATH_START.@elisa_extracted@elisa-master@src@elisa@single_system@orbit@orbit.py@.PATH_END.py |
{
"filename": "_usrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/_usrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="usrc", parent_name="streamtube", **kwargs):
super(UsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_ty... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@_usrc.py@.PATH_END.py |
{
"filename": "axislines.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/lib/mpl_toolkits/axisartist/axislines.py",
"type": "Python"
} | """
Axislines includes modified implementation of the Axes class. The
biggest difference is that the artists responsible for drawing the axis spine,
ticks, ticklabels and axis labels are separated out from Matplotlib's Axis
class. Originally, this change was motivated to support curvilinear
grid. Here are a few reasons... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@lib@mpl_toolkits@axisartist@axislines.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/scene/yaxis/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="layout.scene.yaxis.title.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@scene@yaxis@title@font@_size.py@.PATH_END.py |
{
"filename": "realnvp.py",
"repo_name": "mj-will/nessai",
"repo_path": "nessai_extracted/nessai-main/src/nessai/flows/realnvp.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Implementation of Real Non Volume Preserving flows.
"""
import logging
import numpy as np
import torch
import torch.nn.functional as F
from glasflow.nflows import transforms
from glasflow.nflows.distributions import StandardNormal
from .base import NFlow
from .utils import create_linear_t... | mj-willREPO_NAMEnessaiPATH_START.@nessai_extracted@nessai-main@src@nessai@flows@realnvp.py@.PATH_END.py |
{
"filename": "noise_script.py",
"repo_name": "wfirst-cgi/emccd_detect",
"repo_path": "emccd_detect_extracted/emccd_detect-master/emccd_detect/noise_script.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Get histograms of noise."""
import numpy as np
import matplotlib.pyplot as plt
from emccd_detect.emccd_detect import EMCCDDetect
def imagesc(data, title=None, vmin=None, vmax=None, cmap='viridis',
aspect='equal', colorbar=True):
"""Plot a scaled colormap."""
fig, ax = p... | wfirst-cgiREPO_NAMEemccd_detectPATH_START.@emccd_detect_extracted@emccd_detect-master@emccd_detect@noise_script.py@.PATH_END.py |
{
"filename": "outputimage.py",
"repo_name": "spacetelescope/drizzlepac",
"repo_path": "drizzlepac_extracted/drizzlepac-main/drizzlepac/outputimage.py",
"type": "Python"
} | """
This module manages the creation of the output image FITS file.
:Authors: Warren Hack
:License: :doc:`/LICENSE`
"""
import time
from astropy.io import fits
from stsci.tools import fileutil, logutil
from . import wcs_functions
from . import __version__
from . import updatehdr
from fitsblender import blendheader... | spacetelescopeREPO_NAMEdrizzlepacPATH_START.@drizzlepac_extracted@drizzlepac-main@drizzlepac@outputimage.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jobovy/isodist",
"repo_path": "isodist_extracted/isodist-main/isodist/__init__.py",
"type": "Python"
} | from isodist._isodist import *
from isodist.Isochrone import FEH2Z, Z2FEH, logg
from isodist.PadovaIsochrone import PadovaIsochrone, padovaTypes
from isodist.AnIsochrone import AnIsochrone
from isodist.BastiIsochrone import BastiIsochrone
from isodist.DartmouthIsochrone import DartmouthIsochrone
| jobovyREPO_NAMEisodistPATH_START.@isodist_extracted@isodist-main@isodist@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mmicromegas/ransX",
"repo_path": "ransX_extracted/ransX-master/UTILS/RES/__init__.py",
"type": "Python"
} | mmicromegasREPO_NAMEransXPATH_START.@ransX_extracted@ransX-master@UTILS@RES@__init__.py@.PATH_END.py | |
{
"filename": "_bordercolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/legend/_bordercolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bordercolor", parent_name="layout.legend", **kwargs
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@legend@_bordercolor.py@.PATH_END.py |
{
"filename": "test_inference.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/tseries/frequencies/test_inference.py",
"type": "Python"
} | from datetime import (
datetime,
timedelta,
)
import numpy as np
import pytest
from pandas._libs.tslibs.ccalendar import (
DAYS,
MONTHS,
)
from pandas._libs.tslibs.offsets import _get_offset
from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
from pandas.compat import is_platform_windows
from... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@tseries@frequencies@test_inference.py@.PATH_END.py |
{
"filename": "_cauto.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattercarpet/marker/_cauto.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CautoValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="cauto", parent_name="scattercarpet.marker", **kwargs
):
super(CautoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattercarpet@marker@_cauto.py@.PATH_END.py |
{
"filename": "primitives_with_limited_support.md",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/jax2tf/g3doc/primitives_with_limited_support.md",
"type": "Markdown"
} | # Primitives with limited support for jax2tf
*Last generated on (YYYY-MM-DD): 2023-07-31*
This document summarizes known limitations of the jax2tf conversion.
There are several kinds of limitations.
* There are some JAX primitives that are converted to TF ops that have incomplete coverage
for data types on diffe... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@jax2tf@g3doc@primitives_with_limited_support.md@.PATH_END.py |
{
"filename": "dsp.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/mms/dsp/dsp.py",
"type": "Python"
} | from pyspedas.projects.mms.mms_load_data import mms_load_data
from pyspedas.projects.mms.dsp.mms_dsp_set_metadata import mms_dsp_set_metadata
from pyspedas.projects.mms.mms_config import CONFIG
def mms_load_dsp(trange=['2015-10-16', '2015-10-17'], probe='1', data_rate='srvy',
level='l2', datatype='bpsd', varfor... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@mms@dsp@dsp.py@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/isosurface/legendgrouptitle/font/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="isosurface.legendgrouptitle.font",
**kwargs,
):
super(WeightValidator, self).__init__(
plotly_nam... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@isosurface@legendgrouptitle@font@_weight.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/contours/labelfont/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="contour.contours.labelfont", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@contours@labelfont@_shadow.py@.PATH_END.py |
{
"filename": "plotting-target-pixel-files.ipynb",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/docs/source/tutorials/1-getting-started/plotting-target-pixel-files.ipynb",
"type": "Jupyter Notebook"
} | # Plotting Target Pixel Files with Lightkurve
## Learning Goals
By the end of this tutorial, you will:
- Learn how to download and plot target pixel files from the data archive using [Lightkurve](https://docs.lightkurve.org).
- Be able to plot the target pixel file background.
- Be able to extract and plot flux from... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@docs@source@tutorials@1-getting-started@plotting-target-pixel-files.ipynb@.PATH_END.py |
{
"filename": "simulate_lightcurves_batch.py",
"repo_name": "zclaytor/butterpy",
"repo_path": "butterpy_extracted/butterpy-main/misc/simulate_lightcurves_batch.py",
"type": "Python"
} | import os
import sys
from tqdm import tqdm
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from butterpy import regions, Spots
from butterpy.constants import RAD2DEG, PROT_SUN, FLUX_SCALE, DAY2MIN
from config import sim_dir, spots_dir
from config import Nlc, dur, cad
from generate import genera... | zclaytorREPO_NAMEbutterpyPATH_START.@butterpy_extracted@butterpy-main@misc@simulate_lightcurves_batch.py@.PATH_END.py |
{
"filename": "_sizemode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterternary/marker/_sizemode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizemodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="sizemode", parent_name="scatterternary.marker", **kwargs
):
super(SizemodeValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterternary@marker@_sizemode.py@.PATH_END.py |
{
"filename": "gas_movie_maker.py",
"repo_name": "agurvich/FIRE_studio",
"repo_path": "FIRE_studio_extracted/FIRE_studio-main/src/firestudio/gas_movie_maker.py",
"type": "Python"
} | import numpy as np
import os,sys,getopt
import copy
import multiprocessing
import itertools
import gc
from .studios.gas_studio import GasStudio
def renderGalaxy(
ax,
snapdir,snapnum,
datadir,
frame_half_width,frame_half_thickness,
edgeon = 0,
**kwargs):
## copy the docstring
GasStudio... | agurvichREPO_NAMEFIRE_studioPATH_START.@FIRE_studio_extracted@FIRE_studio-main@src@firestudio@gas_movie_maker.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "j-faria/kima",
"repo_path": "kima_extracted/kima-master/examples/trends/README.md",
"type": "Markdown"
} | This example showcases the linear, quadratic, and cubic trends in **kima**
using a simulated dataset with a known (quadratic) trend.
The `kima_setup.cpp` file sets the options for the model. Everything is default
except for
```c++
const bool trend = true;
const int degree = 3;
```
which allows for up to a cubic tre... | j-fariaREPO_NAMEkimaPATH_START.@kima_extracted@kima-master@examples@trends@README.md@.PATH_END.py |
{
"filename": "_zsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/starts/_zsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="zsrc", parent_name="streamtube.starts", **kwargs):
super(ZsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@starts@_zsrc.py@.PATH_END.py |
{
"filename": "hardware_response.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/detector/detector_browser/hardware_response.py",
"type": "Python"
} | import NuRadioReco.detector.detector_browser.detector_provider
from dash import dcc
from dash import html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import numpy as np
import NuRadioReco.detector.ARIANNA.analog_components
import NuRadioReco.detector.RNO_G.analog_components
from NuRadioRe... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@detector@detector_browser@hardware_response.py@.PATH_END.py |
{
"filename": "_tickwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_tickwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="tickwidth", parent_name="scatter3d.line.colorbar", **kwargs
):
super(TickwidthValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@line@colorbar@_tickwidth.py@.PATH_END.py |
{
"filename": "_typesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/marker/gradient/_typesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TypesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="typesrc",
parent_name="scattersmith.marker.gradient",
**kwargs,
):
super(TypesrcValidator, self).__init__(
plotly_name=plo... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@marker@gradient@_typesrc.py@.PATH_END.py |
{
"filename": "hough_circle.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py",
"type": "Python"
} | import sys
import cv2 as cv
import numpy as np
def main(argv):
## [load]
default_file = 'smarties.png'
filename = argv[0] if len(argv) > 0 else default_file
# Loads an image
src = cv.imread(cv.samples.findFile(filename), cv.IMREAD_COLOR)
# Check if image is loaded fine
if src is None:
... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@python@tutorial_code@ImgTrans@HoughCircle@hough_circle.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "OxES/k2sc",
"repo_path": "k2sc_extracted/k2sc-master/README.md",
"type": "Markdown"
} | # *K2* *S*ystematics *C*orrection
[](https://github.com/OxES/k2sc/actions/workflows/tests.yml)
[](http://www.gnu.org/licenses/gpl-3.0.html)
[![MNRAS](https://img.sh... | OxESREPO_NAMEk2scPATH_START.@k2sc_extracted@k2sc-master@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/mms/__init__.py",
"type": "Python"
} | """
This module contains routines for loading MMS data
"""
from functools import wraps
from .mec_ascii.state import mms_load_state
from .mec_ascii.tetrahedron_qf import mms_load_tetrahedron_qf
from .fgm.fgm import mms_load_fgm
from .hpca.hpca import mms_load_hpca
from .fpi.fpi import mms_load_fpi
from .scm.scm impor... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@mms@__init__.py@.PATH_END.py |
{
"filename": "Gauss2dErrorDistribution.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/source/Gauss2dErrorDistribution.py",
"type": "Python"
} | import numpy as numpy
import math
from .GaussErrorDistribution import GaussErrorDistribution
from .Formatter import formatter as fmt
__author__ = "Do Kester"
__year__ = 2022
__license__ = "GPL3"
__version__ = "3.1.0"
__url__ = "https://www.bayesicfitting.nl"
__status__ = "Perpetual Beta"
# *
# * This file is part ... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@source@Gauss2dErrorDistribution.py@.PATH_END.py |
{
"filename": "_tickformatstop.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/funnel/marker/colorbar/_tickformatstop.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickformatstop(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "funnel.marker.colorbar"
_path_str = "funnel.marker.colorbar.tickformatstop"
_valid_p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@funnel@marker@colorbar@_tickformatstop.py@.PATH_END.py |
{
"filename": "powerbi.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/utilities/powerbi.py",
"type": "Python"
} | """Wrapper around a Power BI endpoint."""
from __future__ import annotations
import asyncio
import logging
import os
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
import aiohttp
import requests
from aiohttp import ClientTimeout, ServerTimeoutError
from pydantic import (
BaseModel,
... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@utilities@powerbi.py@.PATH_END.py |
{
"filename": "_showlegend.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattermapbox/_showlegend.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowlegendValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="showlegend", parent_name="scattermapbox", **kwargs):
super(ShowlegendValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattermapbox@_showlegend.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/ChiantiPy/Gui/__init__.py",
"type": "Python"
} | """
Select GUI package
"""
#
import os
import configparser
#check chiantirc for gui selection
rcfile=os.path.join(os.environ['HOME'],'.chianti/chiantirc')
rcparse=configparser.ConfigParser()
rcparse.read(rcfile)
try:
if rcparse.get('chianti','gui').lower() == 'true':
use_gui=True
else:
use_gui... | tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@ChiantiPy@Gui@__init__.py@.PATH_END.py |
{
"filename": "source_list_ao.md",
"repo_name": "MWATelescope/mwa_hyperdrive",
"repo_path": "mwa_hyperdrive_extracted/mwa_hyperdrive-main/mdbook/src/defs/source_list_ao.md",
"type": "Markdown"
} | # The André Offringa (`ao`) source list format
This format is used by `calibrate` within `mwa-reduce` (closed-source code).
RA is in decimal hours (0 to 24) and Dec is in degrees in the J2000 epoch, but
sexagesimal formatted. All frequencies and flux densities have their units
annotated (although these appear to only... | MWATelescopeREPO_NAMEmwa_hyperdrivePATH_START.@mwa_hyperdrive_extracted@mwa_hyperdrive-main@mdbook@src@defs@source_list_ao.md@.PATH_END.py |
{
"filename": "vaex_vs_pandas_performance.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/radis/test/benchmark/vaex_vs_pandas_performance.py",
"type": "Python"
} | import time
import matplotlib.pyplot as plt
import numpy as np
from radis import calc_spectrum, config
from radis.misc.progress_bar import ProgressBar
def compare_vaex_pandas_time():
"""
Compares the time performance of pandas and Vaex and generates a plot. This scripts takes several minutes to run.
Thi... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@radis@test@benchmark@vaex_vs_pandas_performance.py@.PATH_END.py |
{
"filename": "match_source_lists.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/imaging/match_source_lists.py",
"type": "Python"
} | import numpy
import astropy
import astropy.coordinates
#def match_source_lists(*lists, tol=0.3, table_names=['1', '2']):
def match_source_lists(tol=0.3, table_names=['1', '2'], *lists):
for i in range(len(lists)-1):
if i == 0:
list1 = lists[i]
else:
list1 = joined_list
... | psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@imaging@match_source_lists.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/treemap/legendgrouptitle/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="treemap.legendgrouptitle.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@legendgrouptitle@font@_color.py@.PATH_END.py |
{
"filename": "models.py",
"repo_name": "gogrean/PyXel",
"repo_path": "PyXel_extracted/PyXel-master/pyxel/models.py",
"type": "Python"
} | import os
import numpy as np
import scipy.integrate
from astropy.modeling import Fittable1DModel, Parameter, Model
# class IntModelMeta(_ModelMeta):
# def __getattr__(cls, name):
# # TODO
# pass
#
# @six.add_metaclass(IntModelMeta)
# class IntModel(_Model):
# def __init__(self, underlying, wid... | gogreanREPO_NAMEPyXelPATH_START.@PyXel_extracted@PyXel-master@pyxel@models.py@.PATH_END.py |
{
"filename": "doc_model_gaussian.py",
"repo_name": "lmfit/lmfit-py",
"repo_path": "lmfit-py_extracted/lmfit-py-master/examples/doc_model_gaussian.py",
"type": "Python"
} | # <examples/doc_model_gaussian.py>
import matplotlib.pyplot as plt
from numpy import exp, loadtxt, pi, sqrt
from lmfit import Model
data = loadtxt('model1d_gauss.dat')
x = data[:, 0]
y = data[:, 1]
def gaussian(x, amp, cen, wid):
"""1-d gaussian: gaussian(x, amp, cen, wid)"""
return (amp / (sqrt(2*pi) * wid... | lmfitREPO_NAMElmfit-pyPATH_START.@lmfit-py_extracted@lmfit-py-master@examples@doc_model_gaussian.py@.PATH_END.py |
{
"filename": "statespace_sarimax_pymc3.ipynb",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/examples/notebooks/statespace_sarimax_pymc3.ipynb",
"type": "Jupyter Notebook"
} | # Fast Bayesian estimation of SARIMAX models
## Introduction
This notebook will show how to use fast Bayesian methods to estimate SARIMAX (Seasonal AutoRegressive Integrated Moving Average with eXogenous regressors) models. These methods can also be parallelized across multiple cores.
Here, fast methods means a vers... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@examples@notebooks@statespace_sarimax_pymc3.ipynb@.PATH_END.py |
{
"filename": "backend_managers.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py3/matplotlib/backend_managers.py",
"type": "Python"
} | from matplotlib import _api, backend_tools, cbook, widgets
class ToolEvent:
"""Event for tool manipulation (add/remove)."""
def __init__(self, name, sender, tool, data=None):
self.name = name
self.sender = sender
self.tool = tool
self.data = data
class ToolTriggerEvent(ToolEv... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py3@matplotlib@backend_managers.py@.PATH_END.py |
{
"filename": "TextSearcherOptions.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_support/task/text/TextSearcherOptions.md",
"type": "Markdown"
} | page_type: reference
description: Options for the text search task.
<link rel="stylesheet" href="/site-assets/css/style.css">
<!-- DO NOT EDIT! Automatically generated file. -->
<div itemscope itemtype="http://developers.google.com/ReferenceObject">
<meta itemprop="name" content="tflite_support.task.text.TextSearch... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_support@task@text@TextSearcherOptions.md@.PATH_END.py |
{
"filename": "testRuby.py",
"repo_name": "terryyin/lizard",
"repo_path": "lizard_extracted/lizard-master/test/test_languages/testRuby.py",
"type": "Python"
} | import unittest
from lizard import analyze_file, FileAnalyzer, get_extensions
from lizard_languages import RubyReader
def get_ruby_function_list(source_code):
return analyze_file.analyze_source_code(
"a.rb", source_code).function_list
class Test_tokenizing_Ruby(unittest.TestCase):
def check_tokens(s... | terryyinREPO_NAMElizardPATH_START.@lizard_extracted@lizard-master@test@test_languages@testRuby.py@.PATH_END.py |
{
"filename": "test_extract_1d_step.py",
"repo_name": "spacetelescope/jwst",
"repo_path": "jwst_extracted/jwst-main/jwst/extract_1d/tests/test_extract_1d_step.py",
"type": "Python"
} | import numpy as np
import pytest
import stdatamodels.jwst.datamodels as dm
from jwst.assign_wcs.util import wcs_bbox_from_shape
from jwst.extract_1d.extract_1d_step import Extract1dStep
@pytest.fixture
def simple_wcs():
shape = (50, 50)
xcenter = shape[1] // 2.0
def simple_wcs_function(x, y):
""... | spacetelescopeREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-main@jwst@extract_1d@tests@test_extract_1d_step.py@.PATH_END.py |
{
"filename": "apes.py",
"repo_name": "NumCosmo/NumCosmo",
"repo_path": "NumCosmo_extracted/NumCosmo-master/numcosmo_py/sampling/apes.py",
"type": "Python"
} | #
# apes.py
#
# Sun Apr 2 15:40:00 2023
# Copyright 2023 Sandro Dias Pinto Vitenti
# <vitenti@uel.br>
#
# apes.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 General Public License as published by ... | NumCosmoREPO_NAMENumCosmoPATH_START.@NumCosmo_extracted@NumCosmo-master@numcosmo_py@sampling@apes.py@.PATH_END.py |
{
"filename": "split_unittest.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/build/scripts/split_unittest.py",
"type": "Python"
} | import argparse
import os
import tempfile
import shlex
import subprocess
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--split-factor", type=int, default=0)
parser.add_argument("--shard", type=int, default=0)
parser.add_argument("--fork-mode", type=str, default="SEQUENTIAL"... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@build@scripts@split_unittest.py@.PATH_END.py |
{
"filename": "_layers.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/mapbox/_layers.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LayersValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(self, plotly_name="layers", parent_name="layout.mapbox", **kwargs):
super(LayersValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@mapbox@_layers.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/sunburst/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._visible import VisibleValidator
from ._valuessrc import ValuessrcValidator
from ._values import ValuesValidator
from ._uirevision import UirevisionValidator
from ._uid import UidValidator
from ._texttemplatesrc import TexttemplatesrcValidator
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@sunburst@__init__.py@.PATH_END.py |
{
"filename": "test_fits.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/utils/tests/test_fits.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
import numpy as np
from numpy.testing import assert_allclose
from astropy.io import fits
from astropy.table import Column, Table
from gammapy.utils.fits import earth_location_from_dict, earth_location_to_dict
from gammapy.utils.scripts import... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@utils@tests@test_fits.py@.PATH_END.py |
{
"filename": "endprocessing.py",
"repo_name": "CMB-S4/spt3g_software",
"repo_path": "spt3g_software_extracted/spt3g_software-master/core/tests/endprocessing.py",
"type": "Python"
} | #!/usr/bin/env python
# Test that the checks for EndProcessing frames in G3Pipeline work.
from spt3g import core
import sys
# First, make sure the check doesn't trip when it isn't supposed to.
pipe = core.G3Pipeline()
pipe.Add(core.G3InfiniteSource, type=core.G3FrameType.Timepoint, n=10)
pipe.Add(lambda f: True)
pip... | CMB-S4REPO_NAMEspt3g_softwarePATH_START.@spt3g_software_extracted@spt3g_software-master@core@tests@endprocessing.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "lwang-astro/PeTar",
"repo_path": "PeTar_extracted/PeTar-master/README.md",
"type": "Markdown"
} | ```
██████╗ ███████╗████████╗ █████╗ ██████╗
██╔══██╗██╔════╝╚══██╔══╝██╔══██╗██╔══██╗
██████╔╝█████╗ ██║ ███████║██████╔╝
██╔═══╝ ██╔══╝ ██║ ██╔══██║██╔══██╗
██║ ███████╗ ██║ ██║ ██║██║ ██║
╚═╝ ╚══════╝ ╚═╝ ╚═╝ ╚═╝╚═╝ ╚═╝
```
PeTar is an N-body code specificall... | lwang-astroREPO_NAMEPeTarPATH_START.@PeTar_extracted@PeTar-master@README.md@.PATH_END.py |
{
"filename": "sparse.py",
"repo_name": "Harry45/DESEMU",
"repo_path": "DESEMU_extracted/DESEMU-main/jax_cosmo/sparse.py",
"type": "Python"
} | """Support for sparse matrices composed of square blocks that are individually diagonal.
The motivating example is a Gaussian covariance matrix computed in angular_cl.
The sparse matrix is represented as a 3D array of shape (ny, nx, ndiag) composed
of ny x nx square blocks of size ndiag x ndiag. The vector at [ny, nx... | Harry45REPO_NAMEDESEMUPATH_START.@DESEMU_extracted@DESEMU-main@jax_cosmo@sparse.py@.PATH_END.py |
{
"filename": "make_plots.py",
"repo_name": "dfm/exopop",
"repo_path": "exopop_extracted/exopop-main/document/figures/results/make_plots.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import h5py
import numpy as np
from triangle import quantile
import matplotlib.pyplot as pl
from scipy.misc import logsumexp
from matplotlib.font_manager import FontProperties
from matplotlib.ticker import FormatStrFormatter, MaxNLocator
with h5py.File("samples.h5", "r") ... | dfmREPO_NAMEexopopPATH_START.@exopop_extracted@exopop-main@document@figures@results@make_plots.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/setup.py",
"type": "Python"
} | def configuration(parent_package='',top_path=None):
from numpy.distutils.system_info import get_info
get_info("lapack_opt")
from numpy.distutils.misc_util import Configuration
config = Configuration('scipy',parent_package,top_path)
config.add_subpackage('_lib')
config.add_subpackage('cluster')
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@setup.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/treemap/insidetextfont/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._sizesrc import SizesrcValidator
from ._size import SizeValidator
from ._familysrc import FamilysrcValidator
from ._family import FamilyValidator
from ._colorsrc import ColorsrcValidator
from ._color import ColorValidator
else:
from _plotly_uti... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@treemap@insidetextfont@__init__.py@.PATH_END.py |
{
"filename": "SeeKAT_subbanding.py",
"repo_name": "BezuidenhoutMC/SeeKAT",
"repo_path": "SeeKAT_extracted/SeeKAT-master/SeeKAT_subbanding.py",
"type": "Python"
} | #!/usr/bin/env python
#Tiaan Bezuidenhout, 2020. For inquiries: bezmc93@gmail.com
#NB: REQUIRES Python 3
import SK.utils as ut
import SK.coordinates as co
import SK.plotting as Splot
import SeeKAT as SK
import argparse
import numpy as np
import math
import matplotlib.pyplot as plt
from astropy.io import fits
from ast... | BezuidenhoutMCREPO_NAMESeeKATPATH_START.@SeeKAT_extracted@SeeKAT-master@SeeKAT_subbanding.py@.PATH_END.py |
{
"filename": "test_sensitivity.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/estimators/points/tests/test_sensitivity.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
from numpy.testing import assert_allclose
from gammapy.datasets import SpectrumDataset, SpectrumDatasetOnOff
from gammapy.estimators import FluxPoints, SensitivityEstimator
from gammapy.irf import EDispKernelMap
from gammapy.maps import MapAx... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@estimators@points@tests@test_sensitivity.py@.PATH_END.py |
{
"filename": "test_clump_finding.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/data_objects/level_sets/tests/test_clump_finding.py",
"type": "Python"
} | import os
import shutil
import tempfile
import numpy as np
from numpy.testing import assert_array_equal, assert_equal
from yt.data_objects.level_sets.api import Clump, add_clump_info, find_clumps
from yt.data_objects.level_sets.clump_info_items import clump_info_registry
from yt.fields.derived_field import ValidatePa... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@data_objects@level_sets@tests@test_clump_finding.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pycparser/py2/pycparser/ply/__init__.py",
"type": "Python"
} | # PLY package
# Author: David Beazley (dave@dabeaz.com)
__version__ = '3.9'
__all__ = ['lex','yacc']
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pycparser@py2@pycparser@ply@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/marker/colorbar/tickformatstop/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._value import ValueValidator
from ._templateitemname import TemplateitemnameValidator
from ._name import NameValidator
from ._enabled import EnabledValidator
from ._dtickrange import DtickrangeValidator
else:
from _plotly_utils.importers import rel... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@marker@colorbar@tickformatstop@__init__.py@.PATH_END.py |
{
"filename": "test_plot_dat.py",
"repo_name": "ucberkeleyseti/turbo_seti",
"repo_path": "turbo_seti_extracted/turbo_seti-master/test/test_plot_dat.py",
"type": "Python"
} | r'''test_plot_dat - test plotting of a DAT file.
NOTE: This source file uses data downloaded by test_pipelines_1.py
'''
from shutil import rmtree
from os import mkdir
import glob
from tempfile import gettempdir
from turbo_seti.find_event import plot_dat
TEMPDIR = gettempdir() + '/pipeline_testing/'
PLOTDIR = TEMPDIR... | ucberkeleysetiREPO_NAMEturbo_setiPATH_START.@turbo_seti_extracted@turbo_seti-master@test@test_plot_dat.py@.PATH_END.py |
{
"filename": "test_nlbvp.py",
"repo_name": "minkailin/stratsi",
"repo_path": "stratsi_extracted/stratsi-master/dedalus_repo/dedalus/tests/test_nlbvp.py",
"type": "Python"
} | """
Test 1D NLBVP with various dtypes.
"""
import pytest
import numpy as np
import functools
from dedalus import public as de
import logging
logger = logging.getLogger(__name__)
def bench_wrapper(test):
@functools.wraps(test)
def wrapper(benchmark, *args, **kw):
benchmark.pedantic(test, args=(None,)+... | minkailinREPO_NAMEstratsiPATH_START.@stratsi_extracted@stratsi-master@dedalus_repo@dedalus@tests@test_nlbvp.py@.PATH_END.py |
{
"filename": "RoiPooling.py",
"repo_name": "yhenon/keras-spp",
"repo_path": "keras-spp_extracted/keras-spp-master/spp/RoiPooling.py",
"type": "Python"
} | from keras.engine.topology import Layer
import keras.backend as K
class RoiPooling(Layer):
"""ROI pooling layer for 2D inputs.
See Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition,
K. He, X. Zhang, S. Ren, J. Sun
# Arguments
pool_list: list of int
List ... | yhenonREPO_NAMEkeras-sppPATH_START.@keras-spp_extracted@keras-spp-master@spp@RoiPooling.py@.PATH_END.py |
{
"filename": "importer.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/framework/importer.py",
"type": "Python"
} | # Copyright 2015 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@framework@importer.py@.PATH_END.py |
{
"filename": "test_fit_quantity.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/test_autolens/quantity/test_fit_quantity.py",
"type": "Python"
} | import numpy as np
import pytest
import autolens as al
def test__fit_via_mock_profile(dataset_quantity_7x7_array_2d):
model_object = al.m.MockMassProfile(
convergence_2d=al.Array2D.ones(shape_native=(7, 7), pixel_scales=1.0),
potential_2d=al.Array2D.full(
fill_value=2.0, shape_native=... | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@test_autolens@quantity@test_fit_quantity.py@.PATH_END.py |
{
"filename": "configuration.py",
"repo_name": "ZwickyTransientFacility/ztf_sim",
"repo_path": "ztf_sim_extracted/ztf_sim-master/ztf_sim/configuration.py",
"type": "Python"
} | """Classes for parsing scheduler configuration files."""
import pathlib
import json
import numpy as np
import astropy.units as u
from .ObservingProgram import ObservingProgram
from .Fields import Fields
from .constants import PROGRAM_NAMES, PROGRAM_NAME_TO_ID, EXPOSURE_TIME, TIME_BLOCK_SIZE
from .QueueManager import G... | ZwickyTransientFacilityREPO_NAMEztf_simPATH_START.@ztf_sim_extracted@ztf_sim-master@ztf_sim@configuration.py@.PATH_END.py |
{
"filename": "time.py",
"repo_name": "psheehan/pdspy",
"repo_path": "pdspy_extracted/pdspy-master/pdspy/constants/time.py",
"type": "Python"
} | hour = 3.6e3 # s
day = 8.64e4 # s
year = 3.1557600e7 # s
| psheehanREPO_NAMEpdspyPATH_START.@pdspy_extracted@pdspy-master@pdspy@constants@time.py@.PATH_END.py |
{
"filename": "yacc.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/extern/ply/yacc.py",
"type": "Python"
} | # -----------------------------------------------------------------------------
# ply: yacc.py
#
# Copyright (C) 2001-2016
# David M. Beazley (Dabeaz LLC)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions ar... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@extern@ply@yacc.py@.PATH_END.py |
{
"filename": "test_cxrb_mcd.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/tests/broken/test_cxrb_mcd.py",
"type": "Python"
} | """
test_cxrb_mcd.py
Author: Jordan Mirocha
Affiliation: University of Colorado at Boulder
Created on: Wed Dec 19 12:40:52 2012
Description: Compare CXRB at z=6 for MCD and PL spectra.
"""
import ares
import numpy as np
import matplotlib.pyplot as pl
#
## INPUT
zf, zi = (6, 10)
E = np.logspace(2, 4.5, 100)
##
#
... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@tests@broken@test_cxrb_mcd.py@.PATH_END.py |
{
"filename": "_labelprefix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/aaxis/_labelprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LabelprefixValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="labelprefix", parent_name="carpet.aaxis", **kwargs):
super(LabelprefixValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@aaxis@_labelprefix.py@.PATH_END.py |
{
"filename": "01_notebook_configuration.py",
"repo_name": "juanep97/iop4",
"repo_path": "iop4_extracted/iop4-main/docs/recipes/01_notebook_configuration.py",
"type": "Python"
} | # %% [markdown]
# # Notebook configuration
# Before using IOP4 inside a jupyter notebook, you need to configure the DB with the following lines
# %%
# %autoawait off
import iop4lib.config
iop4conf = iop4lib.Config(config_db=True, gonogui=False, jupytermode=True)
# %% [markdown]
# Now that IOP4 is configured, you can... | juanep97REPO_NAMEiop4PATH_START.@iop4_extracted@iop4-main@docs@recipes@01_notebook_configuration.py@.PATH_END.py |
{
"filename": "occultation.ipynb",
"repo_name": "riogroup/SORA",
"repo_path": "SORA_extracted/SORA-master/docs/guidelines/occultation.ipynb",
"type": "Jupyter Notebook"
} | # Occultation Class
The `Occultation` Class within SORA was created to reduce and analyze stellar occultations, and manage all the other Objects in a SORA occultation. Here we have some useful tasks that allow converting the times for each observatory in positions in the sky plane ($\xi$, $\eta$), fit an ellipse to th... | riogroupREPO_NAMESORAPATH_START.@SORA_extracted@SORA-master@docs@guidelines@occultation.ipynb@.PATH_END.py |
{
"filename": "an.md",
"repo_name": "cajohare/AxionLimits",
"repo_path": "AxionLimits_extracted/AxionLimits-master/docs/an.md",
"type": "Markdown"
} | # Axion-neutron coupling
---
[<img align="right" height="300" src="../plots/plots_png/AxionNeutron.png">](https://github.com/cajohare/AxionLimits/raw/master/plots/plots_png/AxionNeutron.png)
### Basic plot
### [View Notebook (.ipynb)](https://github.com/cajohare/AxionLimits/blob/master/AxionNeutron.ipynb)
### [Download... | cajohareREPO_NAMEAxionLimitsPATH_START.@AxionLimits_extracted@AxionLimits-master@docs@an.md@.PATH_END.py |
{
"filename": "plot_specs.py",
"repo_name": "COINtoolbox/DRACULA",
"repo_path": "DRACULA_extracted/DRACULA-master/CODE/Drac/plotting/plot_specs.py",
"type": "Python"
} | from __future__ import print_function
import numpy as np
from config import REDUCTION_METHOD, CLUSTERING_METHOD
import argparse
parser = argparse.ArgumentParser()
parser.add_argument( '-w' , '--window' , dest='in_window' , default=False , action='store_true' , help='keep plot in interactive window, this option wil... | COINtoolboxREPO_NAMEDRACULAPATH_START.@DRACULA_extracted@DRACULA-master@CODE@Drac@plotting@plot_specs.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jiwoncpark/baobab",
"repo_path": "baobab_extracted/baobab-master/baobab/tests/test_sim_utils/__init__.py",
"type": "Python"
} | jiwoncparkREPO_NAMEbaobabPATH_START.@baobab_extracted@baobab-master@baobab@tests@test_sim_utils@__init__.py@.PATH_END.py | |
{
"filename": "lookup.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/nifs/lookup.py",
"type": "Python"
} | from collections import namedtuple
# Data structures used by this module
Constants = namedtuple("Constants", "readnoise gain well linearlimit coeff1 coeff2 coeff3 nonlinearlimit")
Config = namedtuple("Config", "mdf offsetsection pixscale mode")
# Taken from nifs$data/nifsarray.fits
# Dictionary key is the bias
# Dic... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@nifs@lookup.py@.PATH_END.py |
{
"filename": "nexus.py",
"repo_name": "xraypy/xraylarch",
"repo_path": "xraylarch_extracted/xraylarch-master/larch/io/xas_data_source/nexus.py",
"type": "Python"
} | import re
from contextlib import contextmanager
from typing import Iterator, List, Optional, Tuple
import numpy
import h5py
from . import base
from . import hdf5_utils
class NexusSingleXasDataSource(base.XasDataSource):
"""NeXus compliant HDF5 file. Each NXentry contains 1 XAS spectrum."""
TYPE = "HDF5-NEXUS... | xraypyREPO_NAMExraylarchPATH_START.@xraylarch_extracted@xraylarch-master@larch@io@xas_data_source@nexus.py@.PATH_END.py |
{
"filename": "test_topos.py",
"repo_name": "skyfielders/python-skyfield",
"repo_path": "python-skyfield_extracted/python-skyfield-master/skyfield/tests/test_topos.py",
"type": "Python"
} | from assay import assert_raises
from numpy import abs, arange, sqrt
from skyfield import constants
from skyfield.api import Distance, load, wgs84, wms
from skyfield.functions import length_of
from skyfield.positionlib import Apparent, Barycentric
from skyfield.toposlib import ITRSPosition, iers2010
angle = (-15, 15, ... | skyfieldersREPO_NAMEpython-skyfieldPATH_START.@python-skyfield_extracted@python-skyfield-master@skyfield@tests@test_topos.py@.PATH_END.py |
{
"filename": "tMakeStep.py",
"repo_name": "lofar-astron/DP3",
"repo_path": "DP3_extracted/DP3-master/pythondp3/test/integration/tMakeStep.py",
"type": "Python"
} | # Copyright (C) 2022 ASTRON (Netherlands Institute for Radio Astronomy)
# SPDX-License-Identifier: GPL-3.0-or-later
"""
These tests are checking that the python bindings step factory function.
Script can be invoked in two ways:
- as standalone from the build/pythondp3/test/integration directory,
using `pytest sour... | lofar-astronREPO_NAMEDP3PATH_START.@DP3_extracted@DP3-master@pythondp3@test@integration@tMakeStep.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/pycbc/results/__init__.py",
"type": "Python"
} | from pycbc.results.table_utils import *
from pycbc.results.metadata import *
from pycbc.results.versioning import *
from pycbc.results.color import *
from pycbc.results.plot import *
from pycbc.results.psd import *
from pycbc.results.snr import *
from pycbc.results.layout import *
from pycbc.results.dq import *
from py... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@pycbc@results@__init__.py@.PATH_END.py |
{
"filename": "testNodeIteratorsInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/unit/CXXTests/testNodeIteratorsInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "CXXTests/testNodeIterators.cc"
namespace Spheral {
template string testGlobalAllNodeIterators<Dim< %(ndim)s ... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@unit@CXXTests@testNodeIteratorsInst.cc.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "agnwinds/python",
"repo_path": "python_extracted/python-main/LICENSE.md",
"type": "Markdown"
} | ### GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc.
<https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies of this
license document, but changing it is not allowed.
### Preamble
The GNU General Public License is a free, copyleft license ... | agnwindsREPO_NAMEpythonPATH_START.@python_extracted@python-main@LICENSE.md@.PATH_END.py |
{
"filename": "_xanchor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/colorbar/_xanchor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XanchorValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="xanchor", parent_name="choropleth.colorbar", **kwargs
):
super(XanchorValidator, self).__init__(
plotly_name=plotly_name,
paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@colorbar@_xanchor.py@.PATH_END.py |
{
"filename": "do_images.py",
"repo_name": "pynbody/pynbody",
"repo_path": "pynbody_extracted/pynbody-master/docs/tutorials/example_code/do_images.py",
"type": "Python"
} | diskgas=s.gas[diskf]
### Make pictures:
try:
pp.sph.image(h[i].gas,filename=simname+'.facegas.png',width=30)
pp.sph.image(h[i].star,filename=simname+'.facestar.png',width=30)
pp.sph.image(diskgas,qty='temp',filename=simname+'.tempgasdiskface.png',
width=30,vmin=3,vmax=7)
s.gas['hiden'] ... | pynbodyREPO_NAMEpynbodyPATH_START.@pynbody_extracted@pynbody-master@docs@tutorials@example_code@do_images.py@.PATH_END.py |
{
"filename": "gmag_magdas_1sec.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/erg/ground/geomag/gmag_magdas_1sec.py",
"type": "Python"
} | import numpy as np
from pytplot import get_data, store_data, options, clip, ylim
from ...satellite.erg.load import load
from ...satellite.erg.get_gatt_ror import get_gatt_ror
from typing import List, Optional, Union
def gmag_magdas_1sec(
trange: List[str] = ["2010-11-20/00:00:00", "2010-11-21/00:00:00"],
... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@erg@ground@geomag@gmag_magdas_1sec.py@.PATH_END.py |
{
"filename": "RAiSERed.py",
"repo_name": "rossjturner/RAiSERed",
"repo_path": "RAiSERed_extracted/RAiSERed-main/RAiSERed.py",
"type": "Python"
} | # RAiSERed module
# Ross Turner, 17 May 2020
# import packages
import astropy.units as u
import math
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import matplotlib.patches as mpatches
import numpy as np
import scipy.fftpack
import warnings
from astropy.cosmology import FlatLambdaCDM
from functoo... | rossjturnerREPO_NAMERAiSERedPATH_START.@RAiSERed_extracted@RAiSERed-main@RAiSERed.py@.PATH_END.py |
{
"filename": "compare_parfiles.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/src/pint/scripts/compare_parfiles.py",
"type": "Python"
} | import argparse
import pint.logging
pint.logging.setup(level=pint.logging.script_level)
from pint.models import get_model
__all__ = ["main"]
def main(argv=None):
parser = argparse.ArgumentParser(
description="PINT tool to compare parfiles",
formatter_class=argparse.ArgumentDefaultsHelpFormatte... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@src@pint@scripts@compare_parfiles.py@.PATH_END.py |
{
"filename": "hdftools.py",
"repo_name": "tslearn-team/tslearn",
"repo_path": "tslearn_extracted/tslearn-main/tslearn/hdftools/hdftools.py",
"type": "Python"
} | import h5py
import os
import numpy as np
import traceback
from warnings import warn
def save_dict(d, filename, group, raise_type_fail=True):
"""
Recursively save a dict to an hdf5 group in a new file.
Parameters
----------
d: dict
dict to save as an hdf5 file
filename : str
F... | tslearn-teamREPO_NAMEtslearnPATH_START.@tslearn_extracted@tslearn-main@tslearn@hdftools@hdftools.py@.PATH_END.py |
{
"filename": "_metasrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/_metasrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MetasrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="metasrc", parent_name="scatterpolargl", **kwargs):
super(MetasrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@_metasrc.py@.PATH_END.py |
{
"filename": "LM_fit.py",
"repo_name": "ebachelet/pyLIMA",
"repo_path": "pyLIMA_extracted/pyLIMA-master/pyLIMA/fits/LM_fit.py",
"type": "Python"
} | import sys
import time as python_time
import numpy as np
import scipy
from pyLIMA.fits.ML_fit import MLfit
class LMfit(MLfit):
"""
Standard Levenberg-Marquardt fit
Attributes
-----------
guess : list, the starting point of the fit
"""
def __init__(self, model, telescopes_fluxes_method='f... | ebacheletREPO_NAMEpyLIMAPATH_START.@pyLIMA_extracted@pyLIMA-master@pyLIMA@fits@LM_fit.py@.PATH_END.py |
{
"filename": "simple_coadd_descsim.py",
"repo_name": "mr-superonion/FPFS",
"repo_path": "FPFS_extracted/FPFS-master/bin/simple_coadd_descsim.py",
"type": "Python"
} | #!/usr/bin/env python
#
# FPFS shear estimator
# Copyright 20221013 Xiangchong Li.
#
# 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 la... | mr-superonionREPO_NAMEFPFSPATH_START.@FPFS_extracted@FPFS-master@bin@simple_coadd_descsim.py@.PATH_END.py |
{
"filename": "test_calibsrc.py",
"repo_name": "lucabaldini/ixpeobssim",
"repo_path": "ixpeobssim_extracted/ixpeobssim-main/tests/test_calibsrc.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright (C) 2021, 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.
#
#... | lucabaldiniREPO_NAMEixpeobssimPATH_START.@ixpeobssim_extracted@ixpeobssim-main@tests@test_calibsrc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/kpfpipe/primitives/__init__.py",
"type": "Python"
} | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@kpfpipe@primitives@__init__.py@.PATH_END.py | |
{
"filename": "README.md",
"repo_name": "JohannesBuchner/UltraNest",
"repo_path": "UltraNest_extracted/UltraNest-master/docs/static/mcmc-demo/README.md",
"type": "Markdown"
} | # The Markov-chain Monte Carlo Interactive Gallery
A collection of javascript implementations of interesting MCMC algorithms
[Try it out!](http://chi-feng.github.io/mcmc-demo/)
| JohannesBuchnerREPO_NAMEUltraNestPATH_START.@UltraNest_extracted@UltraNest-master@docs@static@mcmc-demo@README.md@.PATH_END.py |
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