metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "utils.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/data/utils.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import numpy as np
import astropy.units as u
from astropy.table import Table
from gammapy.utils.cluster import standard_scaler
__all__ = ["get_irfs_features"]
def get_irfs_features(
observations,
energy_true,
position=None,
fixed_offset=... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@data@utils.py@.PATH_END.py |
{
"filename": "ex_start_container.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/test/management/ex_start_container.py",
"type": "Python"
} | # Copyright (c) typedef int GmbH, licensed under The MIT License (MIT)
import asyncio
from autobahn.wamp.exception import ApplicationError
from crossbar.shell import client
CONTAINER_ID = u'my-container1'
CONTAINER_OPTIONS = {u'pythonpath': [u'..']}
COMPONENT_ID = u'my-component{}'
COMPONENT_CONFIG = {
u'typ... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@test@management@ex_start_container.py@.PATH_END.py |
{
"filename": "test_qotree.py",
"repo_name": "spacepy/spacepy",
"repo_path": "spacepy_extracted/spacepy-main/spacepy/sandbox/test_qotree.py",
"type": "Python"
} | #!/usr/bin/env python2.6
# -*- coding: utf-8 -*-
"""
Test suite for qotree
Copyright 2010 Los Alamos National Security, LLC.
"""
import unittest
import numpy
import qotree
class branchTests(unittest.TestCase):
def setUp(self):
super(branchTests, self).setUp()
def tearDown(self):
super(bran... | spacepyREPO_NAMEspacepyPATH_START.@spacepy_extracted@spacepy-main@spacepy@sandbox@test_qotree.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/formula/api.py",
"type": "Python"
} | import statsmodels.regression.linear_model as lm_
import statsmodels.discrete.discrete_model as dm_
import statsmodels.discrete.conditional_models as dcm_
import statsmodels.regression.mixed_linear_model as mlm_
import statsmodels.genmod.generalized_linear_model as glm_
import statsmodels.robust.robust_linear_model as ... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@formula@api.py@.PATH_END.py |
{
"filename": "output-data_roc-curve-points.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/output-data_roc-curve-points.md",
"type": "Markdown"
} | # ROC curve points
#### {{ output--contains }}
Points of the ROC curve.
#### {{ output__header-format }}
{% include [reusage-formats-header__intro](../_includes/work_src/reusage-formats/header__intro.md) %}
Format:
```
FPR</t>TPR</t>Threshold
```
- `FPR` is the false positive rate.
- `TPR` is the true positive rat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@output-data_roc-curve-points.md@.PATH_END.py |
{
"filename": "channel_maps_v2.py",
"repo_name": "danielrd6/ifscube",
"repo_path": "ifscube_extracted/ifscube-master/ifscube/examples/channel_maps_v2.py",
"type": "Python"
} | import pickle
from astropy.units import Quantity
from ifscube import Cube
from ifscube import channel_maps
def main():
evaluate_maps = False
if evaluate_maps:
fw = Quantity(value=[4900, 5100], unit="Angstrom")
cube = Cube("/home/daniel/repos/channel_outflows/test_galaxy.fits")
cm = c... | danielrd6REPO_NAMEifscubePATH_START.@ifscube_extracted@ifscube-master@ifscube@examples@channel_maps_v2.py@.PATH_END.py |
{
"filename": "photometry.ipynb",
"repo_name": "PetroFit/petrofit",
"repo_path": "petrofit_extracted/petrofit-main/docs/photometry.ipynb",
"type": "Jupyter Notebook"
} | # Photometry
To measure the Petrosian properties of galaxies, we construct a photometric curve of growth using a set of concentric apertures with varying radii to measure the flux. From this curve of growth, we will measure different properties of the galaxy including the total flux, characteristic radii such as the P... | PetroFitREPO_NAMEpetrofitPATH_START.@petrofit_extracted@petrofit-main@docs@photometry.ipynb@.PATH_END.py |
{
"filename": "_hovertextsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/_hovertextsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="hovertextsrc", parent_name="icicle", **kwargs):
super(HovertextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@_hovertextsrc.py@.PATH_END.py |
{
"filename": "bhattacharya13.py",
"repo_name": "LSSTDESC/CCL",
"repo_path": "CCL_extracted/CCL-master/pyccl/halos/concentration/bhattacharya13.py",
"type": "Python"
} | __all__ = ("ConcentrationBhattacharya13",)
from . import Concentration, get_delta_c
class ConcentrationBhattacharya13(Concentration):
"""Concentration-mass relation by `Bhattacharya et al. 2013
<https://arxiv.org/abs/1112.5479>`_. This parametrization is only valid for
S.O. masses with :math:`\\Delta = \... | LSSTDESCREPO_NAMECCLPATH_START.@CCL_extracted@CCL-master@pyccl@halos@concentration@bhattacharya13.py@.PATH_END.py |
{
"filename": "_streamtube.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/template/data/_streamtube.py",
"type": "Python"
} | from plotly.graph_objs import Streamtube
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@template@data@_streamtube.py@.PATH_END.py |
{
"filename": "_familysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolar/hoverlabel/font/_familysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilysrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="familysrc",
parent_name="scatterpolar.hoverlabel.font",
**kwargs
):
super(FamilysrcValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolar@hoverlabel@font@_familysrc.py@.PATH_END.py |
{
"filename": "template.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/node/template.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
import sys
import os
import shutil
import pkg_resources
import jinja2
f... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@node@template.py@.PATH_END.py |
{
"filename": "7_plot_trigger_efficiency.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/examples/cr_efficiency_analysis/7_plot_trigger_efficiency.py",
"type": "Python"
} | import numpy as np
import json
import matplotlib.pyplot as plt
filename = 'results/air_shower/dict_air_shower_pb_80_180_e7_z9_d2_4000.json'
with open(filename, 'r') as fp:
data = json.load(fp)
distance_bins_low = np.array(data['distance_bins_low'])
energy_bins_low = np.array(data['energy_bins_low'])
zenith_bins_... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@examples@cr_efficiency_analysis@7_plot_trigger_efficiency.py@.PATH_END.py |
{
"filename": "test_nddata.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/astrodata/tests/test_nddata.py",
"type": "Python"
} | import warnings
import numpy as np
import pytest
from numpy.testing import assert_array_almost_equal, assert_array_equal
from astrodata.fits import windowedOp
from astrodata import wcs as adwcs
from astrodata.nddata import ADVarianceUncertainty, NDAstroData
from astropy.io import fits
from astropy.nddata import NDDat... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@astrodata@tests@test_nddata.py@.PATH_END.py |
{
"filename": "websocket.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/packages/vaex-server/vaex/server/websocket.py",
"type": "Python"
} | import asyncio
import logging
import vaex
import vaex.asyncio
import vaex.core._version
import vaex.server._version
import vaex.server.dataframe
from vaex.encoding import serialize, deserialize, Encoding
from .utils import exception
TEST_LATENCY = 0
logger = logging.getLogger("vaex.webserver.websocket")
class Web... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@packages@vaex-server@vaex@server@websocket.py@.PATH_END.py |
{
"filename": "parameters_gmos_spect.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/gmos/parameters_gmos_spect.py",
"type": "Python"
} | # This parameter file contains the parameters related to the primitives located
# in the primitives_gmos_spect.py file, in alphabetical order.
from astrodata import AstroData
from gempy.library import config
from geminidr.core import parameters_spect, parameters_preprocess
from geminidr.core import parameters_generic
... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@gmos@parameters_gmos_spect.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattermap/textfont/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="scattermap.textfont", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattermap@textfont@_family.py@.PATH_END.py |
{
"filename": "multivariate.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/distributions/multivariate.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@pymc@distributions@multivariate.py@.PATH_END.py |
{
"filename": "domain_context.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/fields/domain_context.py",
"type": "Python"
} | import abc
from yt._typing import FieldKey
domain_context_registry = {}
class DomainContext(abc.ABC):
class __metaclass__(type):
def __init__(cls, name, b, d):
type.__init__(cls, name, b, d)
domain_context_registry[name] = cls
_known_fluid_fields: tuple[FieldKey, ...]
_k... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@fields@domain_context.py@.PATH_END.py |
{
"filename": "intersim.py",
"repo_name": "gbrammer/unicorn",
"repo_path": "unicorn_extracted/unicorn-master/intersim.py",
"type": "Python"
} | """
Simulate interlaced spectra.
"""
import os
import glob
from pylab import cm
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
import numpy as np
#import pyfits
import astropy.io.fits as pyfits
import unicorn
import unicorn.interlace_fit
import unicorn.utils_c as utils_c
import threed... | gbrammerREPO_NAMEunicornPATH_START.@unicorn_extracted@unicorn-master@intersim.py@.PATH_END.py |
{
"filename": "_dash.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnel/connector/line/_dash.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DashValidator(_plotly_utils.basevalidators.DashValidator):
def __init__(
self, plotly_name="dash", parent_name="funnel.connector.line", **kwargs
):
super(DashValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@funnel@connector@line@_dash.py@.PATH_END.py |
{
"filename": "test_openmp.py",
"repo_name": "bwinkel/pycraf",
"repo_path": "pycraf_extracted/pycraf-master/pycraf/tests/test_openmp.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .. import pathprof
def test_set_num_threads():
pathprof.set_num_threads(2)
| bwinkelREPO_NAMEpycrafPATH_START.@pycraf_extracted@pycraf-master@pycraf@tests@test_openmp.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/ohlc/decreasing/line/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="ohlc.decreasing.line", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@ohlc@decreasing@line@_color.py@.PATH_END.py |
{
"filename": "check_copyright.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/common/check_copyright.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@common@check_copyright.py@.PATH_END.py |
{
"filename": "recipes_DARK_SLITV.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/ghostdr/ghost/recipes/sq/recipes_DARK_SLITV.py",
"type": "Python"
} | """
Recipes available to data with tags ``['GHOST', 'SLITV', 'CAL', 'DARK']``.
Default is ``makeProcessedSlitDark``.
"""
recipe_tags = set(['GHOST', 'SLITV', 'CAL', 'DARK'])
def makeProcessedSlitDark(p):
"""
This recipe performs the standardization and corrections needed to convert
the raw input dark image... | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@ghostdr@ghost@recipes@sq@recipes_DARK_SLITV.py@.PATH_END.py |
{
"filename": "stratsi_eqm.py",
"repo_name": "minkailin/stratsi",
"repo_path": "stratsi_extracted/stratsi-master/caseA_Z0.1/stratsi_eqm.py",
"type": "Python"
} | """
stratified streaming instability
equilibrium vertical profiles of horizontal velocities
"""
'''
import parameters and functions
'''
from stratsi_params import *
'''
process command line arguements
'''
parser = argparse.ArgumentParser()
parser.add_argument("--xlim", "-xl", nargs='*', help="set horizontal axis r... | minkailinREPO_NAMEstratsiPATH_START.@stratsi_extracted@stratsi-master@caseA_Z0.1@stratsi_eqm.py@.PATH_END.py |
{
"filename": "_rangefont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/_rangefont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RangefontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="rangefont", parent_name="parcoords", **kwargs):
super(RangefontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@_rangefont.py@.PATH_END.py |
{
"filename": "gradientFieldListSVPHInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/SVPH/gradientFieldListSVPHInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "SVPH/gradientFieldListSVPH.cc"
#include "Geometry/Dimension.hh"
namespace Spheral {
using std::vector;
// S... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@SVPH@gradientFieldListSVPHInst.cc.py@.PATH_END.py |
{
"filename": "test_half_gaussian.py",
"repo_name": "wdpozzo/raynest",
"repo_path": "raynest_extracted/raynest-main/raynest/tests/test_half_gaussian.py",
"type": "Python"
} | import sys
import unittest
import numpy as np
from scipy import integrate,stats
import raynest
import raynest.model
import matplotlib as mpl
mpl.use('Agg')
from matplotlib import pyplot as plt
class HalfGaussianModel(raynest.model.Model):
"""
A simple gaussian model with parameters mean and sigma
"""
d... | wdpozzoREPO_NAMEraynestPATH_START.@raynest_extracted@raynest-main@raynest@tests@test_half_gaussian.py@.PATH_END.py |
{
"filename": "simple_axisline4.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/axes_grid1/simple_axisline4.py",
"type": "Python"
} | """
================
Simple Axisline4
================
"""
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import host_subplot
ax = host_subplot(111)
xx = np.arange(0, 2*np.pi, 0.01)
ax.plot(xx, np.sin(xx))
ax2 = ax.twin() # ax2 is responsible for "top" axis and "right" axis
ax2.set... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@axes_grid1@simple_axisline4.py@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/ternary/aaxis/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="layout.ternary.aaxis", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@ternary@aaxis@_tickformat.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/colorbar/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._side import SideValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@colorbar@title@__init__.py@.PATH_END.py |
{
"filename": "creating_ndcube_from_fitsfile.py",
"repo_name": "sunpy/ndcube",
"repo_path": "ndcube_extracted/ndcube-main/examples/creating_ndcube_from_fitsfile.py",
"type": "Python"
} | """
=======================================================
How to create an NDCube from data stored in a FITS file
=======================================================
This example shows how you load in data from a FITS file to create an `~ndcube.NDCube`.
Here we will use an example of a single image.
"""
import ... | sunpyREPO_NAMEndcubePATH_START.@ndcube_extracted@ndcube-main@examples@creating_ndcube_from_fitsfile.py@.PATH_END.py |
{
"filename": "predict.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/reference/models/yolo/detect/predict.md",
"type": "Markdown"
} | ---
description: Explore the Ultralytics YOLO Detection Predictor. Learn how to implement and use the DetectionPredictor class for object detection in Python.
keywords: YOLO, Ultralytics, DetectionPredictor, object detection, Python, machine learning, AI, non_max_suppression
---
# Reference for `ultralytics/models/yol... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@reference@models@yolo@detect@predict.md@.PATH_END.py |
{
"filename": "test_progress.py",
"repo_name": "ma-xu/pointMLP-pytorch",
"repo_path": "pointMLP-pytorch_extracted/pointMLP-pytorch-main/classification_ScanObjectNN/utils/progress/test_progress.py",
"type": "Python"
} | #!/usr/bin/env python
from __future__ import print_function
import random
import time
from progress.bar import (Bar, ChargingBar, FillingSquaresBar,
FillingCirclesBar, IncrementalBar, PixelBar,
ShadyBar)
from progress.spinner import (Spinner, PieSpinner, MoonSpinne... | ma-xuREPO_NAMEpointMLP-pytorchPATH_START.@pointMLP-pytorch_extracted@pointMLP-pytorch-main@classification_ScanObjectNN@utils@progress@test_progress.py@.PATH_END.py |
{
"filename": "exceptions.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/exceptions.py",
"type": "Python"
} | from _plotly_utils.exceptions import *
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@exceptions.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "mj-will/nessai",
"repo_path": "nessai_extracted/nessai-main/src/nessai/plot.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Plotting utilities.
"""
import functools
import logging
from typing import List, Optional
import matplotlib as mpl
import numpy as np
import pandas as pd
import seaborn as sns
from cycler import cycler
from matplotlib import pyplot as plt
from . import config
from .livepoint import live_p... | mj-willREPO_NAMEnessaiPATH_START.@nessai_extracted@nessai-main@src@nessai@plot.py@.PATH_END.py |
{
"filename": "_maxpoints.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/stream/_maxpoints.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="maxpoints", parent_name="heatmap.stream", **kwargs):
super(MaxpointsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@stream@_maxpoints.py@.PATH_END.py |
{
"filename": "weatherstation.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/interfaces/weatherstation.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
# chimera - observatory automation system
# Copyright (C) 2006-2007 P. Henrique Silva <henrique@astro.ufsc.br>
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free S... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@interfaces@weatherstation.py@.PATH_END.py |
{
"filename": "removelines_general.py",
"repo_name": "dstndstn/astrometry.net",
"repo_path": "astrometry.net_extracted/astrometry.net-main/util/removelines_general.py",
"type": "Python"
} | #! /usr/bin/env python3
# This file is part of the Astrometry.net suite.
# Licensed under a 3-clause BSD style license - see LICENSE
from __future__ import print_function
import sys
try:
import pyfits
except ImportError:
try:
from astropy.io import fits as pyfits
except ImportError:
raise I... | dstndstnREPO_NAMEastrometry.netPATH_START.@astrometry.net_extracted@astrometry.net-main@util@removelines_general.py@.PATH_END.py |
{
"filename": "_ticktextsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/baxis/_ticktextsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="ticktextsrc", parent_name="carpet.baxis", **kwargs):
super(TicktextsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@baxis@_ticktextsrc.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "PrincetonUniversity/charis-dep",
"repo_path": "charis-dep_extracted/charis-dep-main/charis/primitives/setup.py",
"type": "Python"
} | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
ext_module = Extension("matutils",
['matutils.pyx'],
extra_compile_args=['-fopenmp'],
extra_link_args=['-fopenmp'],
... | PrincetonUniversityREPO_NAMEcharis-depPATH_START.@charis-dep_extracted@charis-dep-main@charis@primitives@setup.py@.PATH_END.py |
{
"filename": "_domain.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/pie/_domain.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Domain(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "pie"
_path_str = "pie.domain"
_valid_props = {"column", "row", "x", "y"}
# column
#... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@pie@_domain.py@.PATH_END.py |
{
"filename": "_l.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/updatemenu/pad/_l.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="l", parent_name="layout.updatemenu.pad", **kwargs):
super(LValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
ed... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@updatemenu@pad@_l.py@.PATH_END.py |
{
"filename": "photometry.py",
"repo_name": "benmontet/f3",
"repo_path": "f3_extracted/f3-master/f3/photometry.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
import kplr
from scipy.ndimage.measurements import label
import mahotas as mh
from scipy.ndimage.measurements import center_of_mass
from scipy.interpolate import splrep, splev
import os
from . import files
import matplotlib.image as mpimg
f... | benmontetREPO_NAMEf3PATH_START.@f3_extracted@f3-master@f3@photometry.py@.PATH_END.py |
{
"filename": "plot_svm_margin.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/svm/plot_svm_margin.py",
"type": "Python"
} | """
=========================================================
SVM Margins Example
=========================================================
The plots below illustrate the effect the parameter `C` has
on the separation line. A large value of `C` basically tells
our model that we do not have that much faith in our data's... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@svm@plot_svm_margin.py@.PATH_END.py |
{
"filename": "test_output.py",
"repo_name": "ajshajib/dolphin",
"repo_path": "dolphin_extracted/dolphin-main/test/test_analysis/test_output.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""Tests for output module."""
from pathlib import Path
import pytest
import numpy as np
import matplotlib.pyplot as plt
from dolphin.processor import Processor
from dolphin.analysis.output import Output
_ROOT_DIR = Path(__file__).resolve().parents[2]
_TEST_IO_DIR = _ROOT_DIR / "io_directory_e... | ajshajibREPO_NAMEdolphinPATH_START.@dolphin_extracted@dolphin-main@test@test_analysis@test_output.py@.PATH_END.py |
{
"filename": "_len.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/colorbar/_len.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="len", parent_name="heatmap.colorbar", **kwargs):
super(LenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
e... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@heatmap@colorbar@_len.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "alibaba/TinyNeuralNetwork",
"repo_path": "TinyNeuralNetwork_extracted/TinyNeuralNetwork-main/tinynn/prune/__init__.py",
"type": "Python"
} | from .base_pruner import *
from .oneshot_pruner import *
from .admm_pruner import *
from .netadapt_pruner import *
| alibabaREPO_NAMETinyNeuralNetworkPATH_START.@TinyNeuralNetwork_extracted@TinyNeuralNetwork-main@tinynn@prune@__init__.py@.PATH_END.py |
{
"filename": "Warnings.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/ares/util/Warnings.py",
"type": "Python"
} | """
Warnings.py
Author: Jordan Mirocha
Affiliation: University of Colorado at Boulder
Created on: Wed Aug 13 14:31:51 MDT 2014
Description:
"""
import os
import sys
import textwrap
import numpy as np
from ..data import ARES
from .PrintInfo import twidth, line, tabulate
separator = '|'*twidth
separator2 = '-'*twid... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@ares@util@Warnings.py@.PATH_END.py |
{
"filename": "smooth_cal.py",
"repo_name": "HERA-Team/hera_cal",
"repo_path": "hera_cal_extracted/hera_cal-main/hera_cal/smooth_cal.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright 2019 the HERA Project
# Licensed under the MIT License
import numpy as np
import scipy
from copy import deepcopy
import warnings
import argparse
import pyuvdata
from collections.abc import Iterable
import hera_filters
try:
import aipy
AIPY = True
except ImportError:
AIP... | HERA-TeamREPO_NAMEhera_calPATH_START.@hera_cal_extracted@hera_cal-main@hera_cal@smooth_cal.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/scene/annotation/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Font(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.scene.annotation"
_path_str = "layout.scene.annotation.font"
_valid_props = {"color"... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@scene@annotation@_font.py@.PATH_END.py |
{
"filename": "pebblo.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/document_loaders/pebblo.ipynb",
"type": "Jupyter Notebook"
} | # Pebblo Safe DocumentLoader
> [Pebblo](https://daxa-ai.github.io/pebblo/) enables developers to safely load data and promote their Gen AI app to deployment without worrying about the organization’s compliance and security requirements. The project identifies semantic topics and entities found in the loaded data and s... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@document_loaders@pebblo.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/hypothesis/py3/hypothesis/strategies/__init__.py",
"type": "Python"
} | # This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@hypothesis@py3@hypothesis@strategies@__init__.py@.PATH_END.py |
{
"filename": "isomap.py",
"repo_name": "COINtoolbox/DRACULA",
"repo_path": "DRACULA_extracted/DRACULA-master/CODE/Drac/reduction/isomap.py",
"type": "Python"
} | from sklearn import manifold
from aux import ERROR
def reduction(data, params):
# parse parameters
possible_keys=['n_neighbors','n_components','eigen_solver','tol','max_iter','path_method','neighbors_algorithm',]
for item in params:
if item not in possible_keys: ERROR(item)
if isinstance(params... | COINtoolboxREPO_NAMEDRACULAPATH_START.@DRACULA_extracted@DRACULA-master@CODE@Drac@reduction@isomap.py@.PATH_END.py |
{
"filename": "particleoperators.md",
"repo_name": "tigerchenlu98/rebound",
"repo_path": "rebound_extracted/rebound-main/docs/particleoperators.md",
"type": "Markdown"
} | # Operators
## Adding, subtracting, multiplying particles
REBOUND allows you to multiply particles with scalars.
In the code blow, the particle's position and velocity coordinates, and its mass are all multiplied by a constant.
=== "C"
```c
struct reb_simulation* r = reb_simulation_create();
reb_simulatio... | tigerchenlu98REPO_NAMEreboundPATH_START.@rebound_extracted@rebound-main@docs@particleoperators.md@.PATH_END.py |
{
"filename": "readers.md",
"repo_name": "CHIMEFRB/fitburst",
"repo_path": "fitburst_extracted/fitburst-main/docs/developer_guide/readers.md",
"type": "Markdown"
} | # Writing Data Readers for `fitburst`
In a pipeline setting, `fitburst` is designed to isolate all telescope-specific dependencies (e.g., the format and structure of local data archiving servers) to the `backend/` subdirectory. Here, users are encouraged to write Python objects -- using the `utilities.bases.ReaderBase... | CHIMEFRBREPO_NAMEfitburstPATH_START.@fitburst_extracted@fitburst-main@docs@developer_guide@readers.md@.PATH_END.py |
{
"filename": "subnet_fourier.ipynb",
"repo_name": "mattcraigie/scattering-transform",
"repo_path": "scattering-transform_extracted/scattering-transform-master/scattering_transform/examples/subnet_fourier.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib.pyplot as plt
from torch.fft import fft2, ifft2, fftshift, rfft2, irfft2
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import Dataset
from torch.utils.data import DataLoader, SubsetRandomSampler
from torchvision import datasets, transforms
import numpy... | mattcraigieREPO_NAMEscattering-transformPATH_START.@scattering-transform_extracted@scattering-transform-master@scattering_transform@examples@subnet_fourier.ipynb@.PATH_END.py |
{
"filename": "sitecustomize.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/Tools/extpy/src/sitecustomize.py",
"type": "Python"
} | #!/usr/bin/env python
# APEX - Atacama Pathfinder EXperiment Project
#
# Copyright (C) 2003-2005
# Max-Planck-Institut fuer Radioastronomie, Bonn, Germany
#
# This library is free software; you can redistribute it and/or modify it under
# the terms of the GNU Library General Public License as published by the Free
# S... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@Tools@extpy@src@sitecustomize.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/candlestick/decreasing/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="line", parent_name="candlestick.decreasing", **kwargs
):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@candlestick@decreasing@_line.py@.PATH_END.py |
{
"filename": "mms_fgm_remove_flags.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/mms/fgm/mms_fgm_remove_flags.py",
"type": "Python"
} | import numpy as np
from pytplot import get_data, store_data
from pytplot import tnames
from pytplot import data_exists
def mms_fgm_remove_flags(probe, data_rate, level, instrument, suffix=''):
"""
This function removes data flagged by the FGM 'flag' variable (flags > 0),
in order to only show science qu... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@mms@fgm@mms_fgm_remove_flags.py@.PATH_END.py |
{
"filename": "python_vtkfiles.md",
"repo_name": "amrvac/amrvac",
"repo_path": "amrvac_extracted/amrvac-master/doc/python_vtkfiles.md",
"type": "Markdown"
} | # Reading the vtk files
[TOC]
# Introduction on reading vtk files {#introductionvtk}
This document describes the use of Python for plotting MPI-AMRVAC 1D and 2D simulation data using the `vtk` filetypes.
All required packages and instructions on how to set up the tools folder are described in @ref python_setup.md.
T... | amrvacREPO_NAMEamrvacPATH_START.@amrvac_extracted@amrvac-master@doc@python_vtkfiles.md@.PATH_END.py |
{
"filename": "mgc_plot2.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/doc/source/tutorial/stats/plots/mgc_plot2.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import multiscale_graphcorr
def mgc_plot(x, y, mgc_dict):
"""Plot sim and MGC-plot"""
plt.figure(figsize=(8, 8))
ax = plt.gca()
# local correlation map
mgc_map = mgc_dict["mgc_map"]
# draw heatmap
ax.set_title("Local Cor... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@doc@source@tutorial@stats@plots@mgc_plot2.py@.PATH_END.py |
{
"filename": "test_sas7bdat.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/io/sas/test_sas7bdat.py",
"type": "Python"
} | import contextlib
from datetime import datetime
import io
import os
from pathlib import Path
import numpy as np
import pytest
from pandas._config import using_string_dtype
from pandas.compat._constants import (
IS64,
WASM,
)
from pandas.errors import EmptyDataError
import pandas as pd
import pandas._testing... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@io@sas@test_sas7bdat.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/scatterpolargl/marker/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="scatterpolargl.marker", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterpolargl@marker@_color.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/layout/yaxis/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Tickfont(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.yaxis"
_path_str = "layout.yaxis.tickfont"
_valid_props = {
"color",
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@layout@yaxis@_tickfont.py@.PATH_END.py |
{
"filename": "model_modpar.py",
"repo_name": "remi-adam/minot",
"repo_path": "minot_extracted/minot-master/minot/model_modpar.py",
"type": "Python"
} | """
This file deals with 'model parameters' issues regarding the Cluster Class (e.g. GNFW parameteres)
"""
import astropy.units as u
import numpy as np
from scipy import interpolate
import warnings
from astropy import constants as const
from scipy.interpolate import interp1d
from minot import model_tools
... | remi-adamREPO_NAMEminotPATH_START.@minot_extracted@minot-master@minot@model_modpar.py@.PATH_END.py |
{
"filename": "plot_container.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/visualization/plot_container.py",
"type": "Python"
} | import abc
import base64
import os
import warnings
from collections import defaultdict
from functools import wraps
from typing import Any, Final, Literal
import matplotlib
from matplotlib.colors import LogNorm, Normalize, SymLogNorm
from unyt.dimensions import length
from yt._maintenance.deprecation import issue_depr... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@visualization@plot_container.py@.PATH_END.py |
{
"filename": "tutorial_parallel.py",
"repo_name": "lberaldoesilva/naif",
"repo_path": "naif_extracted/naif-main/docs/source/tutorial_parallel.py",
"type": "Python"
} | import numpy as np
import scipy
import agama
import naif
import time
import datetime
import multiprocessing as mp
from concurrent.futures import ProcessPoolExecutor
np.random.seed(0)
# n. of orbits:
n_orbs = 100
# n. of circular periods to integrate for:
n_Tcirc = 100
# n. of points per orbit:
n_steps = 100_000
# ... | lberaldoesilvaREPO_NAMEnaifPATH_START.@naif_extracted@naif-main@docs@source@tutorial_parallel.py@.PATH_END.py |
{
"filename": "djax.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/experimental/slab/djax.py",
"type": "Python"
} | # Copyright 2024 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@experimental@slab@djax.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "shsuyu/H0LiCOW-public",
"repo_path": "H0LiCOW-public_extracted/H0LiCOW-public-master/H0_tension_plots/util.py",
"type": "Python"
} | import os, sys
import numpy as np
from sklearn.neighbors import KernelDensity
def confinterval(xs, weights=None, conflevel=0.6826, cumulative=False):
"""
Hand-made weighted quantile/percentile computation tool, since there is no numpy equivalent.
:param xs: list, distribution
:param weights: list, we... | shsuyuREPO_NAMEH0LiCOW-publicPATH_START.@H0LiCOW-public_extracted@H0LiCOW-public-master@H0_tension_plots@util.py@.PATH_END.py |
{
"filename": "decorators.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py2/matplotlib/testing/decorators.py",
"type": "Python"
} | from __future__ import absolute_import, division, print_function
import six
import functools
import inspect
import os
import sys
import shutil
import warnings
import unittest
# Note - don't import nose up here - import it only as needed in functions.
# This allows other functions here to be used by pytest-based test... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py2@matplotlib@testing@decorators.py@.PATH_END.py |
{
"filename": "barbs.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/plot_types/arrays/barbs.py",
"type": "Python"
} | """
=================
barbs(X, Y, U, V)
=================
Plot a 2D field of wind barbs.
See `~matplotlib.axes.Axes.barbs`.
"""
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('_mpl-gallery-nogrid')
# make data:
X, Y = np.meshgrid([1, 2, 3, 4], [1, 2, 3, 4])
angle = np.pi / 180 * np.array([[15., 30,... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@plot_types@arrays@barbs.py@.PATH_END.py |
{
"filename": "test_get_polyfit_filename.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/ghost/tests/spect/test_get_polyfit_filename.py",
"type": "Python"
} | import pytest
import datetime
import itertools
from geminidr.ghost.primitives_ghost_spect import GHOSTSpect
from . import ad_min # minimum AD fixture
@pytest.mark.ghostspect
@pytest.mark.parametrize('arm,res,caltype', list(itertools.product(*[
['BLUE', 'RED'], # Arm
['LO_ONLY', 'HI_ONLY'], # Res. mode
... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@ghost@tests@spect@test_get_polyfit_filename.py@.PATH_END.py |
{
"filename": "scriptVPolCal.py",
"repo_name": "bill-cotton/Obit",
"repo_path": "Obit_extracted/Obit-master/ObitSystem/Obit/share/scripts/scriptVPolCal.py",
"type": "Python"
} | # python/Obit script to calibrate Stokes Vpol SiO maser line cubes
# Vpol is calculated by averaging the R/L gain ratio determined from
# Stokes Ipol and Vpol images is constant.A
import Image, History, ImageDesc, OSystem, FArray, OErr
from Obit import Bomb
# Init Obit
err=OErr.OErr()
myName = "VPolCal"
ObitSys=OSys... | bill-cottonREPO_NAMEObitPATH_START.@Obit_extracted@Obit-master@ObitSystem@Obit@share@scripts@scriptVPolCal.py@.PATH_END.py |
{
"filename": "test_delitem.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/frame/indexing/test_delitem.py",
"type": "Python"
} | import re
import numpy as np
import pytest
from pandas import (
DataFrame,
MultiIndex,
)
class TestDataFrameDelItem:
def test_delitem(self, float_frame):
del float_frame["A"]
assert "A" not in float_frame
def test_delitem_multiindex(self):
midx = MultiIndex.from_product([["A... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@frame@indexing@test_delitem.py@.PATH_END.py |
{
"filename": "_textcasesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/outsidetextfont/_textcasesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="textcasesrc", parent_name="treemap.outsidetextfont", **kwargs
):
super(TextcasesrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@outsidetextfont@_textcasesrc.py@.PATH_END.py |
{
"filename": "intro.py",
"repo_name": "dstndstn/tractor",
"repo_path": "tractor_extracted/tractor-main/doc/intro.py",
"type": "Python"
} | from __future__ import print_function
import matplotlib
matplotlib.use('Agg')
if True:
from tractor import *
source = PointSource(PixPos(17., 27.4), Flux(23.9))
photocal = NullPhotoCal()
wcs = NullWCS()
counts = photocal.brightnessToCounts(source.getBrightness())
x,y = wcs.positionToPixel(sourc... | dstndstnREPO_NAMEtractorPATH_START.@tractor_extracted@tractor-main@doc@intro.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scattergeo/selected/_textfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Textfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattergeo.selected"
_path_str = "scattergeo.selected.textfont"
_valid_props = {"color"}
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scattergeo@selected@_textfont.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/title/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self,
plotly_name="font",
parent_name="choroplethmapbox.colorbar.title",
**kwargs,
):
super(FontValidator, self).__init__(
plotly_name=plot... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmapbox@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "samples.py",
"repo_name": "RobertJaro/InstrumentToInstrument",
"repo_path": "InstrumentToInstrument_extracted/InstrumentToInstrument-master/itipy/data/soho/samples.py",
"type": "Python"
} | import os
import random
from matplotlib import pyplot as plt
from sunpy.visualization.colormaps import cm
from itipy.data.dataset import SECCHIDataset, EITDataset
base_path = '/gss/r.jarolim/data/soho/valid'
channels = [
171,
195,
284,
304,
]
cmaps = [
cm.sdoaia171,
cm.sdoaia193,
cm.sdoai... | RobertJaroREPO_NAMEInstrumentToInstrumentPATH_START.@InstrumentToInstrument_extracted@InstrumentToInstrument-master@itipy@data@soho@samples.py@.PATH_END.py |
{
"filename": "testing_script.py",
"repo_name": "astromer-science/main-code",
"repo_path": "main-code_extracted/main-code-main/presentation/scripts/testing_script.py",
"type": "Python"
} | #!/usr/bin/python
import subprocess
import sys
import time
import json
import os, sys
gpu = sys.argv[1]
ds_name = sys.argv[2]
batch_size = 512
datasets = ['{}_20'.format(ds_name),
'{}_50'.format(ds_name),
'{}_100'.format(ds_name),
'{}_500'.format(ds_name),
]
for astrome... | astromer-scienceREPO_NAMEmain-codePATH_START.@main-code_extracted@main-code-main@presentation@scripts@testing_script.py@.PATH_END.py |
{
"filename": "intersection.py",
"repo_name": "rodluger/planetplanet",
"repo_path": "planetplanet_extracted/planetplanet-master/scripts/intersection.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
intersection.py |github|
------------------------
Interactive circle/ellipse intersection point finder. Solves a quartic polynomial
to determine the points of intersection. This method is slow because it also finds
imaginary roots, which we don't care about. Eventually... | rodlugerREPO_NAMEplanetplanetPATH_START.@planetplanet_extracted@planetplanet-master@scripts@intersection.py@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmap/legendgrouptitle/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="choroplethmap.legendgrouptitle.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmap@legendgrouptitle@font@_lineposition.py@.PATH_END.py |
{
"filename": "_showticklabels.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/marker/colorbar/_showticklabels.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="bar.marker.colorbar", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@marker@colorbar@_showticklabels.py@.PATH_END.py |
{
"filename": "shape_utils.py",
"repo_name": "pymc-devs/pymc",
"repo_path": "pymc_extracted/pymc-main/pymc/distributions/shape_utils.py",
"type": "Python"
} | # Copyright 2024 The PyMC Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | pymc-devsREPO_NAMEpymcPATH_START.@pymc_extracted@pymc-main@pymc@distributions@shape_utils.py@.PATH_END.py |
{
"filename": "redux.py",
"repo_name": "jkrogager/PyNOT",
"repo_path": "PyNOT_extracted/PyNOT-master/pynot/redux.py",
"type": "Python"
} | """
Automatically Classify and Reduce a given Data Set
"""
from collections import defaultdict
import glob
import numpy as np
import os
import sys
from PyQt5.QtWidgets import QApplication
from pynot.data import io
from pynot.data import organizer as do
from pynot.data import obs
from pynot.calibs import task_bias, t... | jkrogagerREPO_NAMEPyNOTPATH_START.@PyNOT_extracted@PyNOT-master@pynot@redux.py@.PATH_END.py |
{
"filename": "test_named.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/tests/contrib/autoname/test_named.py",
"type": "Python"
} | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
import torch
import pyro
import pyro.distributions as dist
from pyro import poutine
from pyro.contrib.autoname import named
def get_sample_names(tr):
return set(
[
name
for name, site in tr.no... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@tests@contrib@autoname@test_named.py@.PATH_END.py |
{
"filename": "Database.py",
"repo_name": "PoulinV/AxiCLASS",
"repo_path": "AxiCLASS_extracted/AxiCLASS-master/external/RealSpaceInterface/Calc2D/Database.py",
"type": "Python"
} | import pickle
import os
import logging
import uuid
class Database:
def __init__(self, directory, db_file="database.dat"):
self.directory = directory
self.db_file = db_file
if not os.path.isdir(directory):
raise ValueError("'{}' is not a directory!".format(directory))
s... | PoulinVREPO_NAMEAxiCLASSPATH_START.@AxiCLASS_extracted@AxiCLASS-master@external@RealSpaceInterface@Calc2D@Database.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/surface/contours/x/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._project import Project
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._project.Project"])
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@surface@contours@x@__init__.py@.PATH_END.py |
{
"filename": "unit.py",
"repo_name": "hgrecco/pint",
"repo_path": "pint_extracted/pint-master/pint/facets/plain/unit.py",
"type": "Python"
} | """
pint.facets.plain.unit
~~~~~~~~~~~~~~~~~~~~~
:copyright: 2016 by Pint Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import annotations
import copy
import locale
import operator
from numbers import Number
from typing import TYPE_CHECKING, A... | hgreccoREPO_NAMEpintPATH_START.@pint_extracted@pint-master@pint@facets@plain@unit.py@.PATH_END.py |
{
"filename": "_thicknessmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/marker/colorbar/_thicknessmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="thicknessmode",
parent_name="scatter3d.marker.colorbar",
**kwargs,
):
super(ThicknessmodeValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@marker@colorbar@_thicknessmode.py@.PATH_END.py |
{
"filename": "Forces.ipynb",
"repo_name": "tigerchenlu98/rebound",
"repo_path": "rebound_extracted/rebound-main/ipython_examples/Forces.ipynb",
"type": "Jupyter Notebook"
} | # Additional forces
REBOUND is a gravitational N-body integrator. But you can also use it to integrate systems with additional, non-gravitational forces.
This tutorial gives you a very quick overview of how that works. Implementing additional forces in python as below will typically be a factor of a few slower than a ... | tigerchenlu98REPO_NAMEreboundPATH_START.@rebound_extracted@rebound-main@ipython_examples@Forces.ipynb@.PATH_END.py |
{
"filename": "decoder.py",
"repo_name": "qubvel/segmentation_models.pytorch",
"repo_path": "segmentation_models.pytorch_extracted/segmentation_models.pytorch-main/segmentation_models_pytorch/decoders/unetplusplus/decoder.py",
"type": "Python"
} | import torch
import torch.nn as nn
import torch.nn.functional as F
from segmentation_models_pytorch.base import modules as md
class DecoderBlock(nn.Module):
def __init__(
self,
in_channels,
skip_channels,
out_channels,
use_batchnorm=True,
attention_type=None,
)... | qubvelREPO_NAMEsegmentation_models.pytorchPATH_START.@segmentation_models.pytorch_extracted@segmentation_models.pytorch-main@segmentation_models_pytorch@decoders@unetplusplus@decoder.py@.PATH_END.py |
{
"filename": "_btype.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contourcarpet/_btype.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BtypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="btype", parent_name="contourcarpet", **kwargs):
super(BtypeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contourcarpet@_btype.py@.PATH_END.py |
{
"filename": "horizons.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/io/horizons.py",
"type": "Python"
} | from datetime import date, timedelta
class LoadStar(object):
def __init__(self, planet):
f = open('../viewer/'+planet+'.txt','r')
M = f.readlines()
f.close()
"""
radiusline = M[4]
radius = float(radiusline.split('=')[1].split('(')[0])
massline = M[5]
... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@io@horizons.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "3fon3fonov/exostriker",
"repo_path": "exostriker_extracted/exostriker-main/exostriker/lib/pyqtgraph/examples/relativity/__init__.py",
"type": "Python"
} | from .relativity import *
| 3fon3fonovREPO_NAMEexostrikerPATH_START.@exostriker_extracted@exostriker-main@exostriker@lib@pyqtgraph@examples@relativity@__init__.py@.PATH_END.py |
{
"filename": "sineWave_time_compare.py",
"repo_name": "cjekel/piecewise_linear_fit_py",
"repo_path": "piecewise_linear_fit_py_extracted/piecewise_linear_fit_py-master/examples/sineWave_time_compare.py",
"type": "Python"
} | # fit for a specified number of line segments
# you specify the number of line segments you want, the library does the rest
# import our libraries
import numpy as np
import matplotlib.pyplot as plt
import pwlf
from time import time
# generate sin wave data
x = np.linspace(0, 10, num=100)
y = np.sin(x * np.pi / 2)
# a... | cjekelREPO_NAMEpiecewise_linear_fit_pyPATH_START.@piecewise_linear_fit_py_extracted@piecewise_linear_fit_py-master@examples@sineWave_time_compare.py@.PATH_END.py |
{
"filename": "_symbol.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergl/marker/_symbol.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SymbolValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="symbol", parent_name="scattergl.marker", **kwargs):
super(SymbolValidator, 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@scattergl@marker@_symbol.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "telegraphic/pygsm",
"repo_path": "pygsm_extracted/pygsm-master/README.md",
"type": "Markdown"
} | **This archive is deprecated; please use [PyGDSM](https://github.com/telegraphic/pygdsm)**
PyGSM
=====
**Note: GSM2016 methods are in beta!!**
`PyGSM` is a Python interface for the Global Sky Model (GSM2008) of [Oliveira-Costa et. al., (2008)](http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2966.2008.13376.x/abstr... | telegraphicREPO_NAMEpygsmPATH_START.@pygsm_extracted@pygsm-master@README.md@.PATH_END.py |
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