metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "qest.py",
"repo_name": "dhanson/quicklens",
"repo_path": "quicklens_extracted/quicklens-master/quicklens/sims/qest.py",
"type": "Python"
} | # quicklens/sims/qest.py
# --
# this module contains a library object which applies quadratic estimators
# to inverse-variance filtered sky maps. in this module a 'quadratic estimator'
# is actually a weighted sum of estimates produced by qest.qest. these estimators
# each have a unique key, and are defined in library.... | dhansonREPO_NAMEquicklensPATH_START.@quicklens_extracted@quicklens-master@quicklens@sims@qest.py@.PATH_END.py |
{
"filename": "luminosity_model--ECPL_2param--n=2.0_test_for_consistency.py",
"repo_name": "DebduttaPaul/luminosity_function_of_sGRBs",
"repo_path": "luminosity_function_of_sGRBs_extracted/luminosity_function_of_sGRBs-master/luminosity_model--ECPL_2param--n=2.0_test_for_consistency.py",
"type": "Python"
} | from __future__ import division
from astropy.io import ascii
from astropy.table import Table
from scipy.optimize import curve_fit
from scipy.integrate import quad, simps
import debduttaS_functions as mf
import specific_functions as sf
import time
import numpy as np
import matplotlib.pyplot as plt
plt.rc('axes', linewid... | DebduttaPaulREPO_NAMEluminosity_function_of_sGRBsPATH_START.@luminosity_function_of_sGRBs_extracted@luminosity_function_of_sGRBs-master@luminosity_model--ECPL_2param--n=2.0_test_for_consistency.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "ArgonneCPAC/diffstar",
"repo_path": "diffstar_extracted/diffstar-main/README.md",
"type": "Markdown"
} | # diffstar
## Installation
The latest release of diffstar is available for installation with either pip or conda-forge:
```
$ conda install -c conda-forge diffstar
```
Alternatively, to install diffstar into your environment from the source code:
```
$ cd /path/to/root/diffstar
$ pip install .
```
### Environment c... | ArgonneCPACREPO_NAMEdiffstarPATH_START.@diffstar_extracted@diffstar-main@README.md@.PATH_END.py |
{
"filename": "taskUtils.py",
"repo_name": "lsst-ts/ts_wep",
"repo_path": "ts_wep_extracted/ts_wep-main/python/lsst/ts/wep/utils/taskUtils.py",
"type": "Python"
} | # This file is part of ts_wep.
#
# Developed for the LSST Telescope and Site Systems.
# This product includes software developed by the LSST Project
# (https://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: you ... | lsst-tsREPO_NAMEts_wepPATH_START.@ts_wep_extracted@ts_wep-main@python@lsst@ts@wep@utils@taskUtils.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/box/selected/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "box.selected"
_path_str = "box.selected.marker"
_valid_props = {"color", "opacity", "size"}
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@box@selected@_marker.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/funnel/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="funnel", **kwargs):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@funnel@_opacity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astroplan",
"repo_path": "astroplan_extracted/astroplan-main/astroplan/plots/__init__.py",
"type": "Python"
} | """
`astroplan.plots` contains functions for making plots of commonly-used
quantities in observation planning (e.g., airmass vs. time), using `astroplan`
and `Matplotlib`_.
.. _Matplotlib: http://www.matplotlib.org
"""
from .time_dependent import *
from .sky import *
from .mplstyles import *
from .finder import *
| astropyREPO_NAMEastroplanPATH_START.@astroplan_extracted@astroplan-main@astroplan@plots@__init__.py@.PATH_END.py |
{
"filename": "ACC_CSV_Converter.py",
"repo_name": "creaneroDIAS/beamModelTester",
"repo_path": "beamModelTester_extracted/beamModelTester-master/ACC_CSV_converter/ACC_CSV_Converter.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 14 16:25:32 2018
@author: Oisin Creaner
This program is designed to read in an ACC file from LOFAR and convert it to
a csv file with the same name but different extension
"""
import struct
import numpy as np
import os
import sys
#definitions of file names
#hard coded fo... | creaneroDIASREPO_NAMEbeamModelTesterPATH_START.@beamModelTester_extracted@beamModelTester-master@ACC_CSV_converter@ACC_CSV_Converter.py@.PATH_END.py |
{
"filename": "README-fork.md",
"repo_name": "cshsgy/ExoCubed",
"repo_path": "ExoCubed_extracted/ExoCubed-main/doc/README-fork.md",
"type": "Markdown"
} | # How to private fork [canoe](https://github.com/chengcli/canoe)
The [canoe](https://github.com/chengcli/canoe) repository is public by default
but Github does not allow the creation of private forks for public repositories.
Thus, we recommend a public fork of [canoe](https://github.com/chengcli/canoe)
to create your ... | cshsgyREPO_NAMEExoCubedPATH_START.@ExoCubed_extracted@ExoCubed-main@doc@README-fork.md@.PATH_END.py |
{
"filename": "_value.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contour/contours/_value.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="value", parent_name="contour.contours", **kwargs):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contour@contours@_value.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "spacetelescope/pystortion",
"repo_path": "pystortion_extracted/pystortion-master/pystortion/tests/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This module contains package tests.
"""
| spacetelescopeREPO_NAMEpystortionPATH_START.@pystortion_extracted@pystortion-master@pystortion@tests@__init__.py@.PATH_END.py |
{
"filename": "demo_MBS_associated.py",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/src/demos/python/mbs/demo_MBS_associated.py",
"type": "Python"
} | # =============================================================================
# PROJECT CHRONO - http://projectchrono.org
#
# Copyright (c) 2019 projectchrono.org
# All rights reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distr... | projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@src@demos@python@mbs@demo_MBS_associated.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnel/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import ... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@funnel@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "protofeature.py",
"repo_name": "astropy/pyvo",
"repo_path": "pyvo_extracted/pyvo-main/pyvo/utils/protofeature.py",
"type": "Python"
} | from dataclasses import dataclass
__all__ = ['Feature']
@dataclass
class Feature:
"""
A prototype feature implementing a standard that is currently in the process of being
approved, but that might change as a result of the approval process. A Feature must
have a name. Optionally, a feature may have a... | astropyREPO_NAMEpyvoPATH_START.@pyvo_extracted@pyvo-main@pyvo@utils@protofeature.py@.PATH_END.py |
{
"filename": "make_some_beam_plots.py",
"repo_name": "JLBLine/WODEN",
"repo_path": "WODEN_extracted/WODEN-master/cmake_testing/GPU_code/primary_beam_gpu/make_some_beam_plots.py",
"type": "Python"
} | from astropy.io import fits
import numpy as np
from astropy.wcs import WCS
from copy import deepcopy
import erfa
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import mwa_hyperbeam
from subprocess import call
print(mwa_hyperbeam.__version__)
D2R = np.pi / 180.0
VELC = 29979245... | JLBLineREPO_NAMEWODENPATH_START.@WODEN_extracted@WODEN-master@cmake_testing@GPU_code@primary_beam_gpu@make_some_beam_plots.py@.PATH_END.py |
{
"filename": "unlensed.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/PointSource/Types/unlensed.py",
"type": "Python"
} | from lenstronomy.PointSource.Types.base_ps import PSBase
import numpy as np
__all__ = ["Unlensed"]
class Unlensed(PSBase):
"""
class of a single point source in the image plane, aka star
Name within the PointSource module: 'UNLENSED'
This model can deal with arrays of point sources.
parameters: r... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@PointSource@Types@unlensed.py@.PATH_END.py |
{
"filename": "layer_style_editor.py",
"repo_name": "glue-viz/glue",
"repo_path": "glue_extracted/glue-main/glue/plugins/dendro_viewer/layer_style_editor.py",
"type": "Python"
} | import os
from qtpy import QtWidgets
from echo.qt import autoconnect_callbacks_to_qt
from glue.utils.qt import load_ui
class DendorgramLayerStyleEditor(QtWidgets.QWidget):
def __init__(self, layer, parent=None):
super(DendorgramLayerStyleEditor, self).__init__(parent=parent)
self.ui = load_ui... | glue-vizREPO_NAMEgluePATH_START.@glue_extracted@glue-main@glue@plugins@dendro_viewer@layer_style_editor.py@.PATH_END.py |
{
"filename": "lti_conversion.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/signal/lti_conversion.py",
"type": "Python"
} | # This file is not meant for public use and will be removed in SciPy v2.0.0.
# Use the `scipy.signal` namespace for importing the functions
# included below.
from scipy._lib.deprecation import _sub_module_deprecation
__all__ = [ # noqa: F822
'tf2ss', 'abcd_normalize', 'ss2tf', 'zpk2ss', 'ss2zpk',
'cont2discr... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@signal@lti_conversion.py@.PATH_END.py |
{
"filename": "_width.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/marker/line/_width.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="width", parent_name="scatter.marker.line", **kwargs
):
super(WidthValidator, self).__init__(
plotly_name=plotly_name,
parent_name=par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@marker@line@_width.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "Jammy2211/PyAutoLens",
"repo_path": "PyAutoLens_extracted/PyAutoLens-main/test_autolens/point/triangles/conftest.py",
"type": "Python"
} | import pytest
import autolens as al
@pytest.fixture
def grid():
return al.Grid2D.uniform(
shape_native=(10, 10),
pixel_scales=1.0,
)
@pytest.fixture
def tracer():
isothermal_mass_profile = al.mp.Isothermal(
centre=(0.0, 0.0),
einstein_radius=1.6,
ell_comps=al.conv... | Jammy2211REPO_NAMEPyAutoLensPATH_START.@PyAutoLens_extracted@PyAutoLens-main@test_autolens@point@triangles@conftest.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "igmhub/picca",
"repo_path": "picca_extracted/picca-master/py/picca/tests/delta_extraction/__init__.py",
"type": "Python"
} | """Initialize python package logger"""
import logging
logging.getLogger(__name__).addHandler(logging.NullHandler())
| igmhubREPO_NAMEpiccaPATH_START.@picca_extracted@picca-master@py@picca@tests@delta_extraction@__init__.py@.PATH_END.py |
{
"filename": "appearance_functions.py",
"repo_name": "creaneroDIAS/beamModelTester",
"repo_path": "beamModelTester_extracted/beamModelTester-master/comparison_module/appearance_functions.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 15 13:13:45 2018
@author: User
"""
import seaborn as sns
import matplotlib.pyplot as plt
def gen_pretty_name(key,units=False):
'''
This function generates suitable names for graph titles and axes from the
keys used to access elements of the dataframe in the... | creaneroDIASREPO_NAMEbeamModelTesterPATH_START.@beamModelTester_extracted@beamModelTester-master@comparison_module@appearance_functions.py@.PATH_END.py |
{
"filename": "logging_functions.py",
"repo_name": "spacetelescope/mirage",
"repo_path": "mirage_extracted/mirage-master/mirage/logging/logging_functions.py",
"type": "Python"
} | #! /usr/bin/env python
"""This module contains functions related to logging in Mirage
"""
import datetime
from functools import wraps
import logging
from logging.config import dictConfig
import os
import shutil
import traceback
import yaml
def create_logger(filename, output_log_file):
"""Using the provided yaml... | spacetelescopeREPO_NAMEmiragePATH_START.@mirage_extracted@mirage-master@mirage@logging@logging_functions.py@.PATH_END.py |
{
"filename": "_uid.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter3d/_uid.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UidValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="uid", parent_name="scatter3d", **kwargs):
super(UidValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_typ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter3d@_uid.py@.PATH_END.py |
{
"filename": "_symmetric.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/error_y/_symmetric.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SymmetricValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="symmetric", parent_name="scatter.error_y", **kwargs
):
super(SymmetricValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@error_y@_symmetric.py@.PATH_END.py |
{
"filename": "N_scaling_figure.ipynb",
"repo_name": "Mauropieroni/fastPTA",
"repo_path": "fastPTA_extracted/fastPTA-main/examples/N_scaling_figure.ipynb",
"type": "Jupyter Notebook"
} | ### Start importing all libraries
```python
# Global
import os
import tqdm
import numpy as np
import matplotlib.pyplot as plt
# Local
import examples_utils as eu
import fastPTA.utils as ut
import fastPTA.plotting_functions as pf
from fastPTA.Fisher_code import compute_fisher
```
No GPU/TPU found, falling back t... | MauropieroniREPO_NAMEfastPTAPATH_START.@fastPTA_extracted@fastPTA-main@examples@N_scaling_figure.ipynb@.PATH_END.py |
{
"filename": "spherical_harmonics.py",
"repo_name": "galsci/pysm",
"repo_path": "pysm_extracted/pysm-main/src/pysm3/utils/spherical_harmonics.py",
"type": "Python"
} | import healpy as hp
import numpy as np
import logging
from astropy import units as u
import pixell.enmap, pixell.curvedsky
from .. import mpi, utils
log = logging.getLogger("pysm3")
def apply_smoothing_and_coord_transform(
input_map,
fwhm=None,
beam_window=None,
rot=None,
lmax=None,
output_... | galsciREPO_NAMEpysmPATH_START.@pysm_extracted@pysm-main@src@pysm3@utils@spherical_harmonics.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/treemap/legendgrouptitle/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="text", parent_name="treemap.legendgrouptitle", **kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@treemap@legendgrouptitle@_text.py@.PATH_END.py |
{
"filename": "standard_errrors_and_p-values.py",
"repo_name": "cjekel/piecewise_linear_fit_py",
"repo_path": "piecewise_linear_fit_py_extracted/piecewise_linear_fit_py-master/examples/standard_errrors_and_p-values.py",
"type": "Python"
} | # example of how to calculate standard errors and p-values
from __future__ import print_function
import numpy as np
import pwlf
# your data
y = np.array([0.00000000e+00, 9.69801700e-03, 2.94350340e-02,
4.39052750e-02, 5.45343950e-02, 6.74104940e-02,
8.34831790e-02, 1.02580042e-01, 1.2276793... | cjekelREPO_NAMEpiecewise_linear_fit_pyPATH_START.@piecewise_linear_fit_py_extracted@piecewise_linear_fit_py-master@examples@standard_errrors_and_p-values.py@.PATH_END.py |
{
"filename": "legend_handler.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py3/matplotlib/legend_handler.py",
"type": "Python"
} | """
Default legend handlers.
.. important::
This is a low-level legend API, which most end users do not need.
We recommend that you are familiar with the :ref:`legend guide
<legend_guide>` before reading this documentation.
Legend handlers are expected to be a callable object with a following
signature:... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py3@matplotlib@legend_handler.py@.PATH_END.py |
{
"filename": "signal_generator.ipynb",
"repo_name": "icecube/skyllh",
"repo_path": "skyllh_extracted/skyllh-master/doc/sphinx/faq/signal_generator.ipynb",
"type": "Jupyter Notebook"
} | # Signal Generator
## How can I change the flux model of my sources (for my signal events)?
| icecubeREPO_NAMEskyllhPATH_START.@skyllh_extracted@skyllh-master@doc@sphinx@faq@signal_generator.ipynb@.PATH_END.py |
{
"filename": "batching.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/data/experimental/ops/batching.py",
"type": "Python"
} | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@data@experimental@ops@batching.py@.PATH_END.py |
{
"filename": "gen_pot.py",
"repo_name": "stub42/pytz",
"repo_path": "pytz_extracted/pytz-master/gen_pot.py",
"type": "Python"
} | from __future__ import print_function
import sys
import os.path
import time
from gen_tzinfo import allzones
from pytz import __version__
boilerplate = r"""msgid ""
msgstr ""
"Project-Id-Version: pytz %s\n"
"POT-Creation-Date: %s\n"
"Content-Type: text/plain; charset=UTF-8\n"
""" % (
__version__,
time.strftim... | stub42REPO_NAMEpytzPATH_START.@pytz_extracted@pytz-master@gen_pot.py@.PATH_END.py |
{
"filename": "lc.py",
"repo_name": "AstroVPK/kali",
"repo_path": "kali_extracted/kali-master/python/kali/lc.py",
"type": "Python"
} | #!/usr/bin/env python
""" Module that defines light curve objects.
"""
import math
import cmath
import numpy as np
import operator
import sys
import abc
import psutil
import types
import os
import reprlib
import copy
import warnings
import pdb as pdb
import scipy.stats as spstats
from scipy.interpolate import Univaria... | AstroVPKREPO_NAMEkaliPATH_START.@kali_extracted@kali-master@python@kali@lc.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/layout/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
from ._grouptitlefont import Grouptitlefont
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._font.Font"... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@layout@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "calibration_ghost.py",
"repo_name": "GeminiDRSoftware/GHOSTDR",
"repo_path": "GHOSTDR_extracted/GHOSTDR-master/ghostdr/ghost/calibration_ghost.py",
"type": "Python"
} | """
This module holds the CalibrationGHOST class
"""
from gemini_calmgr.orm.header import Header
from gemini_calmgr.orm.ghost import Ghost
from gemini_calmgr.cal.calibration import Calibration, not_processed, not_imaging, not_spectroscopy
import math
class CalibrationGHOST(Calibration):
"""
This class implem... | GeminiDRSoftwareREPO_NAMEGHOSTDRPATH_START.@GHOSTDR_extracted@GHOSTDR-master@ghostdr@ghost@calibration_ghost.py@.PATH_END.py |
{
"filename": "combinedspec.ipynb",
"repo_name": "alphaparrot/ExoPlaSim",
"repo_path": "ExoPlaSim_extracted/ExoPlaSim-master/exoplasim/plasim/src/specs/combinedspec.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
```
```python
manifest = {}
with open("manifest.txt","r") as mn:
lines = mn.read().split('\n')
for l in lines:
lfile = l.split()
if len(lfile)>0:
manifest[lfile[0]] = lfile[1]
```
```python
names = so... | alphaparrotREPO_NAMEExoPlaSimPATH_START.@ExoPlaSim_extracted@ExoPlaSim-master@exoplasim@plasim@src@specs@combinedspec.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dendrograms/astrodendro",
"repo_path": "astrodendro_extracted/astrodendro-main/astrodendro/io/__init__.py",
"type": "Python"
} | # Licensed under an MIT open source license - see LICENSE
from pathlib import Path
from .fits import FITSHandler
from .hdf5 import HDF5Handler
IO_FORMATS = {
'fits': FITSHandler,
'hdf5': HDF5Handler
}
def _valid(formats):
return " and ".join(["'{0}'".format(key) for key in formats])
def load_dendrog... | dendrogramsREPO_NAMEastrodendroPATH_START.@astrodendro_extracted@astrodendro-main@astrodendro@io@__init__.py@.PATH_END.py |
{
"filename": "vdm.py",
"repo_name": "trivnguyen/nehod_torch",
"repo_path": "nehod_torch_extracted/nehod_torch-main/nehod/vdm.py",
"type": "Python"
} |
from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.distributions as dist
import pytorch_lightning as pl
from nehod import noise_schedules, scores
from nehod import diffusion_utils, train_utils, augmentations
from nehod.diffusion_utils import alph... | trivnguyenREPO_NAMEnehod_torchPATH_START.@nehod_torch_extracted@nehod_torch-main@nehod@vdm.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/extend/core/__init__.py",
"type": "Python"
} | # Copyright 2023 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@extend@core@__init__.py@.PATH_END.py |
{
"filename": "redcal_inspect_2458154.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/redcal_inspect/redcal_inspect_2458154.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Redundant Calibration Nightly Notebook
**Josh Dillon**, Last Revised 7/30/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal
from hera_qm.metrics_io import load_metric_file
import glob
import os
from copy import deepcopy
import inspe... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@redcal_inspect@redcal_inspect_2458154.ipynb@.PATH_END.py |
{
"filename": "sinc.py",
"repo_name": "transientskp/lpf",
"repo_path": "lpf_extracted/lpf-main/lpf/bolts/filters/sinc.py",
"type": "Python"
} | # type: ignore
import numpy as np
from scipy.ndimage import _ni_support
from scipy.ndimage.filters import correlate1d
def sinc(x, s=1):
sinc = np.sin(x / s) / (x / s)
sinc[x == 0] = 1
return sinc
def _sinc_kernel1d(sigma, radius):
x = np.arange(-radius, radius + 1)
weights = sinc(x, sigma)
we... | transientskpREPO_NAMElpfPATH_START.@lpf_extracted@lpf-main@lpf@bolts@filters@sinc.py@.PATH_END.py |
{
"filename": "parallel_model.py",
"repo_name": "hfarias/mask_galaxy",
"repo_path": "mask_galaxy_extracted/mask_galaxy-master/mrcnn/parallel_model.py",
"type": "Python"
} | """
Mask R-CNN
Multi-GPU Support for Keras.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
Ideas and a small code snippets from these sources:
https://github.com/fchollet/keras/issues/2436
https://medium.com/@kuza55/transparent-multi-gpu-training... | hfariasREPO_NAMEmask_galaxyPATH_START.@mask_galaxy_extracted@mask_galaxy-master@mrcnn@parallel_model.py@.PATH_END.py |
{
"filename": "test_quantities_fitting.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/modeling/tests/test_quantities_fitting.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Tests that relate to fitting models with quantity parameters
"""
from __future__ import (absolute_import, unicode_literals, division,
print_function)
import numpy as np
import pytest
from ..models import Gaussian1D
from ... ... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@modeling@tests@test_quantities_fitting.py@.PATH_END.py |
{
"filename": "tensorflow_datasets.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/utilities/tensorflow_datasets.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.utilities import TensorflowDatasets
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
D... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@utilities@tensorflow_datasets.py@.PATH_END.py |
{
"filename": "test_transforms.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/visualization/wcsaxes/tests/test_transforms.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import print_function, division, absolute_import
import numpy as np
from matplotlib.transforms import Affine2D
from ....wcs import WCS
from ..transforms import WCSWorld2PixelTransform
WCS2D = WCS(naxis=2)
WCS2D.wcs.ctype = ['x', 'y']
... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@visualization@wcsaxes@tests@test_transforms.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "illustristng/illustris_python",
"repo_path": "illustris_python_extracted/illustris_python-master/LICENSE.md",
"type": "Markdown"
} | Copyright (c) 2017, illustris & illustris_python developers
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, this
list of cond... | illustristngREPO_NAMEillustris_pythonPATH_START.@illustris_python_extracted@illustris_python-master@LICENSE.md@.PATH_END.py |
{
"filename": "test_full_run.py",
"repo_name": "cylammarco/ASPIRED",
"repo_path": "ASPIRED_extracted/ASPIRED-main/test/test_full_run.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import os
from unittest.mock import patch
import numpy as np
from aspired import image_reduction, spectral_reduction
HERE = os.path.dirname(os.path.realpath(__file__))
@patch("plotly.graph_objects.Figure.show")
def test_full_run(mock_show):
# Extract two spectra
# Line list
atla... | cylammarcoREPO_NAMEASPIREDPATH_START.@ASPIRED_extracted@ASPIRED-main@test@test_full_run.py@.PATH_END.py |
{
"filename": "_showscale.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattergeo/marker/_showscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showscale", parent_name="scattergeo.marker", **kwargs
):
super(ShowscaleValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattergeo@marker@_showscale.py@.PATH_END.py |
{
"filename": "radon_transform.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/skimage/transform/radon_transform.py",
"type": "Python"
} | import numpy as np
from scipy.interpolate import interp1d
from scipy.constants import golden_ratio
from scipy.fft import fft, ifft, fftfreq, fftshift
from ._warps import warp
from ._radon_transform import sart_projection_update
from .._shared.utils import convert_to_float
from warnings import warn
from functools impor... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@skimage@transform@radon_transform.py@.PATH_END.py |
{
"filename": "bench_app.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/benchmarks/benchmarks/bench_app.py",
"type": "Python"
} | from .common import Benchmark
import numpy as np
class LaplaceInplace(Benchmark):
params = ['inplace', 'normal']
param_names = ['update']
def setup(self, update):
N = 150
Niter = 1000
dx = 0.1
dy = 0.1
dx2 = (dx * dx)
dy2 = (dy * dy)
def num_updat... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@benchmarks@benchmarks@bench_app.py@.PATH_END.py |
{
"filename": "pk2xi_speed.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/investigations/pk2xi_speed.py",
"type": "Python"
} | from barry.cosmology import PowerToCorrelationGauss, PowerToCorrelationFT, getCambGenerator
import numpy as np
from timeit import timeit
camb = getCambGenerator()
ks = camb.ks
pk = camb.get_data()[1]
ss = np.linspace(20, 200, 50)
gauss = PowerToCorrelationGauss(ks)
fft = PowerToCorrelationFT()
n = 500
def time_gauss... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@investigations@pk2xi_speed.py@.PATH_END.py |
{
"filename": "test_loss_equivalence.py",
"repo_name": "mwalmsley/zoobot",
"repo_path": "zoobot_extracted/zoobot-main/tests/test_loss_equivalence.py",
"type": "Python"
} | # import pytest
# # cannot be run on mac m1 as tensorflow cannot be installed
# import tensorflow_probability as tfp
# import torch
# import numpy as np
# from zoobot.tensorflow.training import losses as tf_losses
# from zoobot.pytorch.training import losses as torch_losses
# @pytest.fixture
# def single_question_c... | mwalmsleyREPO_NAMEzoobotPATH_START.@zoobot_extracted@zoobot-main@tests@test_loss_equivalence.py@.PATH_END.py |
{
"filename": "preprocess_plot.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/preprocess/preprocess_plot.py",
"type": "Python"
} | import numpy as np
import scipy.stats as stats
import os
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
from venn import venn
from sotodlib import hwp
import sotodlib.core as core
from sotodlib.core.flagman import has_all_cut, has_any_cuts, count_cuts, sparse_to_ranges_matrix
def plot_det_bia... | simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@preprocess@preprocess_plot.py@.PATH_END.py |
{
"filename": "celery.py",
"repo_name": "LCOGT/banzai",
"repo_path": "banzai_extracted/banzai-main/banzai/celery.py",
"type": "Python"
} | import os
from datetime import datetime, timedelta
from dateutil.parser import parse
from celery import Celery
from kombu import Queue
from banzai import dbs, calibrations, logs
from banzai.utils import date_utils, realtime_utils, stage_utils
from celery.signals import worker_process_init
from banzai.context import C... | LCOGTREPO_NAMEbanzaiPATH_START.@banzai_extracted@banzai-main@banzai@celery.py@.PATH_END.py |
{
"filename": "test_sph_data_objects.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/data_objects/tests/test_sph_data_objects.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_allclose, assert_almost_equal, assert_equal
from yt import SlicePlot, add_particle_filter
from yt.loaders import load
from yt.testing import fake_sph_grid_ds, fake_sph_orientation_ds, requires_file
def test_point():
ds = fake_sph_orientation_ds()
field_data... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@data_objects@tests@test_sph_data_objects.py@.PATH_END.py |
{
"filename": "binomialVettingCompleteness_scoreSum-checkpoint.ipynb",
"repo_name": "stevepur/DR25-occurrence-public",
"repo_path": "DR25-occurrence-public_extracted/DR25-occurrence-public-main/GKbaseline_dr25RadCut/.ipynb_checkpoints/binomialVettingCompleteness_scoreSum-checkpoint.ipynb",
"type": "Jupyter Note... | ```python
import numpy as np
import matplotlib.pyplot as plt
import scipy.special as spec
import pandas as pd
from astropy.io import ascii
import scipy.stats as stats
from ipywidgets import FloatProgress
from IPython.display import display
import sys
sys.path.insert(0, '..')
import dr25Models as funcModels
```
```py... | stevepurREPO_NAMEDR25-occurrence-publicPATH_START.@DR25-occurrence-public_extracted@DR25-occurrence-public-main@GKbaseline_dr25RadCut@.ipynb_checkpoints@binomialVettingCompleteness_scoreSum-checkpoint.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astroML/gatspy",
"repo_path": "gatspy_extracted/gatspy-master/gatspy/periodic/tests/__init__.py",
"type": "Python"
} | astroMLREPO_NAMEgatspyPATH_START.@gatspy_extracted@gatspy-master@gatspy@periodic@tests@__init__.py@.PATH_END.py | |
{
"filename": "SN_Example.ipynb",
"repo_name": "cheerfuluser/tessreduce",
"repo_path": "tessreduce_extracted/tessreduce-master/examples/SN_Example.ipynb",
"type": "Jupyter Notebook"
} | ```python
import tessreduce as tr
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
```
If you only know the name of the transient, and not ra, dec, or sector, then you can use **sn_lookup**. Here we use it for SN 2020cdj
```python
obs = tr.sn_lookup('sn2020cdj',time='disc')
```
| Sector ... | cheerfuluserREPO_NAMEtessreducePATH_START.@tessreduce_extracted@tessreduce-master@examples@SN_Example.ipynb@.PATH_END.py |
{
"filename": "test_beamformer.py",
"repo_name": "lwa-project/lsl",
"repo_path": "lsl_extracted/lsl-main/tests/test_beamformer.py",
"type": "Python"
} | """
Unit test for the lsl.misc.beamformer module.
"""
import os
import unittest
import ephem
import numpy as np
from astropy.coordinates import Angle
from lsl.misc import beamformer
from lsl.common import stations
import lsl.testing
__version__ = "0.2"
__author__ = "Jayce Dowell"
class beamformer_tests(unitt... | lwa-projectREPO_NAMElslPATH_START.@lsl_extracted@lsl-main@tests@test_beamformer.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/fftpack/tests/__init__.py",
"type": "Python"
} | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@fftpack@tests@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "xgds/xgds_core",
"repo_path": "xgds_core_extracted/xgds_core-master/xgds_core/management/appCommands/__init__.py",
"type": "Python"
} | xgdsREPO_NAMExgds_corePATH_START.@xgds_core_extracted@xgds_core-master@xgds_core@management@appCommands@__init__.py@.PATH_END.py | |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolargl/unselected/textfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="scatterpolargl.unselected.textfont",
**kwargs
):
super(ColorValidator, self).__init__(
plotly_name=pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolargl@unselected@textfont@_color.py@.PATH_END.py |
{
"filename": "Test_DCO_Formation_Channels_Redshift_rates.ipynb",
"repo_name": "FloorBroekgaarden/Double-Compact-Object-Mergers",
"repo_path": "Double-Compact-Object-Mergers_extracted/Double-Compact-Object-Mergers-main/demo_read_hdf5_file/Test_DCO_Formation_Channels_Redshift_rates.ipynb",
"type": "Jupyter Noteb... | ```python
# just to make the cells appear wider:
from IPython.core.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
import h5py as h5
import numpy as np
import os
import matplotlib.pyplot as plt
import pandas as pd
import string
```
/var/folders/lc/vg4hc2nn2pn... | FloorBroekgaardenREPO_NAMEDouble-Compact-Object-MergersPATH_START.@Double-Compact-Object-Mergers_extracted@Double-Compact-Object-Mergers-main@demo_read_hdf5_file@Test_DCO_Formation_Channels_Redshift_rates.ipynb@.PATH_END.py |
{
"filename": "topopt.py",
"repo_name": "COSMOGRAIL/PyCS",
"repo_path": "PyCS_extracted/PyCS-master/pycs/spl/topopt.py",
"type": "Python"
} | """
Higher level wrappers around the multiopt optimizers.
These attempt to be a as multi-puropose as possible, but please understand that there is no general "optimal" way to optimize
a spline fit. Depening on your data, custom optimizers might be needed. That's what we did for the TDC.
In principle we do not define t... | COSMOGRAILREPO_NAMEPyCSPATH_START.@PyCS_extracted@PyCS-master@pycs@spl@topopt.py@.PATH_END.py |
{
"filename": "_y0.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/image/_y0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Y0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="y0", parent_name="image", **kwargs):
super(Y0Validator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs.p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@image@_y0.py@.PATH_END.py |
{
"filename": "generate_cooling_model_with_plotter.py",
"repo_name": "cylammarco/WDPhotTools",
"repo_path": "WDPhotTools_extracted/WDPhotTools-main/example/generate_cooling_model_with_plotter.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Plot the default cooling model"""
from WDPhotTools import plotter
plotter.plot_cooling_model(
mass=[0.2, 0.4, 0.6, 0.8, 1.0],
savefig=True,
folder="example_output",
filename="DA_cooling_model_from_plotter",
)
| cylammarcoREPO_NAMEWDPhotToolsPATH_START.@WDPhotTools_extracted@WDPhotTools-main@example@generate_cooling_model_with_plotter.py@.PATH_END.py |
{
"filename": "result_analysis.py",
"repo_name": "fabiorigamonti/bang",
"repo_path": "bang_extracted/bang-main/src/BANG/result_analysis.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import corner
from matplotlib import ticker
import math
import os
def dehenen_mass(M,R,gamma,r):
Mbulge = M*(r/(r+R))**(3-gamma)
return Mbulge
def NFW_mass(M,c,R,r):
s = r/R
M_halo = M/(np.log(1+c)-c/(1+c))*(np.log(1+s)-s/(1+s))
return M_halo
... | fabiorigamontiREPO_NAMEbangPATH_START.@bang_extracted@bang-main@src@BANG@result_analysis.py@.PATH_END.py |
{
"filename": "descriptorlib.py",
"repo_name": "skyfielders/python-skyfield",
"repo_path": "python-skyfield_extracted/python-skyfield-master/skyfield/descriptorlib.py",
"type": "Python"
} | from functools import update_wrapper
class reify(object):
"""Adapted from Pyramid's `reify()` memoizing decorator."""
def __init__(self, method):
self.method = method
update_wrapper(self, method)
def __get__(self, instance, objtype=None):
if instance is None:
return sel... | skyfieldersREPO_NAMEpython-skyfieldPATH_START.@python-skyfield_extracted@python-skyfield-master@skyfield@descriptorlib.py@.PATH_END.py |
{
"filename": "_x.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/starts/_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="x", parent_name="streamtube.starts", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@starts@_x.py@.PATH_END.py |
{
"filename": "writeoifits.py",
"repo_name": "achael/eht-imaging",
"repo_path": "eht-imaging_extracted/eht-imaging-main/ehtim/io/writeoifits.py",
"type": "Python"
} | # writeData.py
# functionto save observation to OIFITS
# author: Katie Bouman
from __future__ import division
from __future__ import print_function
from builtins import range
import numpy as np
import ehtim.io.oifits
import ehtim.const_def as ehc
def writeOIFITS(filename, RA, DEC, frequency, bandWidth, intTime,
... | achaelREPO_NAMEeht-imagingPATH_START.@eht-imaging_extracted@eht-imaging-main@ehtim@io@writeoifits.py@.PATH_END.py |
{
"filename": "_parentssrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/_parentssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ParentssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="parentssrc", parent_name="icicle", **kwargs):
super(ParentssrcValidator, 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@icicle@_parentssrc.py@.PATH_END.py |
{
"filename": "semadb.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/vectorstores/semadb.py",
"type": "Python"
} | from typing import Any, Iterable, List, Optional, Tuple, cast
from uuid import uuid4
import numpy as np
import requests
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.utils import get_from_env
from langchain_core.vectorstores import VectorStore
from ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@vectorstores@semadb.py@.PATH_END.py |
{
"filename": "acsncRunConComp.py",
"repo_name": "ACS-Community/ACS",
"repo_path": "ACS_extracted/ACS-master/LGPL/CommonSoftware/acsnc/ws/test/acsncRunConComp.py",
"type": "Python"
} | #!/usr/bin/env python
#*******************************************************************************
# ALMA - Atacama Large Millimiter Array
# (c) Associated Universities Inc., 2002
# (c) European Southern Observatory, 2002
# Copyright by ESO (in the framework of the ALMA collaboration)
# and Cosylab 2002, All right... | ACS-CommunityREPO_NAMEACSPATH_START.@ACS_extracted@ACS-master@LGPL@CommonSoftware@acsnc@ws@test@acsncRunConComp.py@.PATH_END.py |
{
"filename": "docs_full_pipeline.ipynb",
"repo_name": "tamarervin/SolAster",
"repo_path": "SolAster_extracted/SolAster-main/mkdocs/docs/examples/docs_full_pipeline.ipynb",
"type": "Jupyter Notebook"
} | # Outline of correction and velocity calculations from SDO/HMI Images
```python
import datetime
import pandas as pd
import numpy as np
import sunpy.map
from sunpy.net import Fido
from sunpy.net import attrs as a
from sunpy.coordinates import frames
import SolAster.tools.rvs as rvs
import SolAster.tools.calculation_... | tamarervinREPO_NAMESolAsterPATH_START.@SolAster_extracted@SolAster-main@mkdocs@docs@examples@docs_full_pipeline.ipynb@.PATH_END.py |
{
"filename": "colormap_converter.py",
"repo_name": "yacobozdalkiran/CLASS_mod",
"repo_path": "CLASS_mod_extracted/CLASS_mod-main/class_public-master/external/RealSpaceInterface/colormap_converter.py",
"type": "Python"
} | import matplotlib.cm as cm
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import os
OUTPUT_DIR = os.path.join("static", "images", "colormaps")
WIDTH = 512
def create_image(cmap, width):
values = np.linspace(0, 1, width)
colors = cmap(values).reshape((1, width, 4))
image = Image.f... | yacobozdalkiranREPO_NAMECLASS_modPATH_START.@CLASS_mod_extracted@CLASS_mod-main@class_public-master@external@RealSpaceInterface@colormap_converter.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "richteague/disksurf",
"repo_path": "disksurf_extracted/disksurf-master/README.md",
"type": "Markdown"
} | # disksurf
<p align='center'>
<img src="HD163296_zeroth.png" width="793" height="549">
<br>
<a href='https://disksurf.readthedocs.io/en/latest/?badge=latest'>
<img src='https://readthedocs.org/projects/disksurf/badge/?version=latest' alt='Documentation Status' />
</a>
<a href='https://doi.org/10.21105/jo... | richteagueREPO_NAMEdisksurfPATH_START.@disksurf_extracted@disksurf-master@README.md@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/barpolar/marker/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self, plotly_name="colorscale", parent_name="barpolar.marker", **kwargs
):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@barpolar@marker@_colorscale.py@.PATH_END.py |
{
"filename": "run_and_gather_logs.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/tools/test/run_and_gather_logs.py",
"type": "Python"
} | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@tools@test@run_and_gather_logs.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/xaxis/rangeselector/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="layout.xaxis.rangeselector.font",
**kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@xaxis@rangeselector@font@_family.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/choroplethmapbox/selected/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "choroplethmapbox.selected"
_path_str = "choroplethmapbox.selected.marker"
_valid_props = {"o... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@choroplethmapbox@selected@_marker.py@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/insidetextfont/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self, plotly_name="lineposition", parent_name="icicle.insidetextfont", **kwargs
):
super(LinepositionValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@insidetextfont@_lineposition.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/barpolar/marker/colorbar/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title import Title
from . import title
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, _... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@barpolar@marker@colorbar@__init__.py@.PATH_END.py |
{
"filename": "post_kick2.py",
"repo_name": "orlox/mesa_input_data",
"repo_path": "mesa_input_data_extracted/mesa_input_data-master/2016_ULX/scripts/NSBH/kick_data/post_kick2.py",
"type": "Python"
} | #!/usr/bin/env python
import numpy as np
from pylab import *
import matplotlib.pyplot as plt
from matplotlib import rc
rc('text', usetex=True)
import matplotlib.patches as patches
from scipy.interpolate import griddata
import math
import scipy
from matplotlib import ticker
import sys
import os
import mmap
import iterto... | orloxREPO_NAMEmesa_input_dataPATH_START.@mesa_input_data_extracted@mesa_input_data-master@2016_ULX@scripts@NSBH@kick_data@post_kick2.py@.PATH_END.py |
{
"filename": "_visible.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/splom/_visible.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="visible", parent_name="splom", **kwargs):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@splom@_visible.py@.PATH_END.py |
{
"filename": "DistanceCostFunction.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/source/DistanceCostFunction.py",
"type": "Python"
} | import numpy as numpy
import math
from .ErrorDistribution import ErrorDistribution
from .LogFactorial import logFactorial
from .Formatter import formatter as fmt
from .Tools import setAttribute as setatt
__author__ = "Do Kester"
__year__ = 2022
__license__ = "GPL3"
__version__ = "3.0.0"
__url__ = "https://www.bayesic... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@source@DistanceCostFunction.py@.PATH_END.py |
{
"filename": "compare_lw.py",
"repo_name": "Goobley/DexRT",
"repo_path": "DexRT_extracted/DexRT-main/compare_lw.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
import xarray as xr
from matplotlib.colors import LogNorm
from scipy.interpolate import RegularGridInterpolator
from scipy.stats import pearsonr
from weno4 import weno4
import astropy.units as u
try:
get_ipython().run_line_magic("matplotlib", "")
except:
plt.io... | GoobleyREPO_NAMEDexRTPATH_START.@DexRT_extracted@DexRT-main@compare_lw.py@.PATH_END.py |
{
"filename": "cryptosign.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/router/auth/cryptosign.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
import os
import binascii
from pprint import pformat
from typing import ... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@router@auth@cryptosign.py@.PATH_END.py |
{
"filename": "aperture.py",
"repo_name": "tcassanelli/pyoof",
"repo_path": "pyoof_extracted/pyoof-master/pyoof/aperture/aperture.py",
"type": "Python"
} | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Tomas Cassanelli
import numpy as np
import warnings
import astropy # only used for workaround
from astropy import units as apu
from ..math_functions import cart2pol, rms
from ..zernike import U
__all__ = [
'illum_parabolic', 'illum_gauss', 'wavefront', 'ph... | tcassanelliREPO_NAMEpyoofPATH_START.@pyoof_extracted@pyoof-master@pyoof@aperture@aperture.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dtamayo/reboundx",
"repo_path": "reboundx_extracted/reboundx-main/reboundx/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import warnings
#Find suffix
import sysconfig
suffix = sysconfig.get_config_var('EXT_SUFFIX')
if suffix is None:
suffix = ".so"
#Import shared C library
import os
pymodulespath = os.path.dirname(__file__)
from ctypes import *
clibreboundx = cdll.LoadLibrary(pymodulespath + '/../libreboundx... | dtamayoREPO_NAMEreboundxPATH_START.@reboundx_extracted@reboundx-main@reboundx@__init__.py@.PATH_END.py |
{
"filename": "_title.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/carpet/aaxis/_title.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
def __init__(self, plotly_name="title", parent_name="carpet.aaxis", **kwargs):
super(TitleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@carpet@aaxis@_title.py@.PATH_END.py |
{
"filename": "establishing_the_correlation--step_2--Tan_method--corrected.py",
"repo_name": "DebduttaPaul/luminosity_function_of_lGRBs",
"repo_path": "luminosity_function_of_lGRBs_extracted/luminosity_function_of_lGRBs-master/establishing_the_correlation--step_2--Tan_method--corrected.py",
"type": "Python"
} | from __future__ import division
from astropy.io import ascii
from astropy.table import Table
from scipy.stats import pearsonr as R
from scipy.stats import spearmanr as S
from scipy.stats import kendalltau as T
from scipy.optimize import curve_fit
from scipy.integrate import quad
import debduttaS_functions as mf
import ... | DebduttaPaulREPO_NAMEluminosity_function_of_lGRBsPATH_START.@luminosity_function_of_lGRBs_extracted@luminosity_function_of_lGRBs-master@establishing_the_correlation--step_2--Tan_method--corrected.py@.PATH_END.py |
{
"filename": "plot_template.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/doc/examples/features_detection/plot_template.py",
"type": "Python"
} | """
=================
Template Matching
=================
We use template matching to identify the occurrence of an image patch
(in this case, a sub-image centered on a single coin). Here, we
return a single match (the exact same coin), so the maximum value in the
``match_template`` result corresponds to the coin loca... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@doc@examples@features_detection@plot_template.py@.PATH_END.py |
{
"filename": "message_factory.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/protobuf/py3/google/protobuf/message_factory.py",
"type": "Python"
} | # Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@protobuf@py3@google@protobuf@message_factory.py@.PATH_END.py |
{
"filename": "Tutorial-IllinoisGRMHD__driver_evaluate_MHD_rhs.ipynb",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/IllinoisGRMHD/doc/Tutorial-IllinoisGRMHD__driver_evaluate_MHD_rhs.ipynb",
"type": "Jupyter Notebook"
} | <script async src="https://www.googletagmanager.com/gtag/js?id=UA-59152712-8"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-59152712-8');
</script>
# Tutorial-IllinoisGRMHD: `driver_evaluate_MHD_rhs.C`
## A... | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@IllinoisGRMHD@doc@Tutorial-IllinoisGRMHD__driver_evaluate_MHD_rhs.ipynb@.PATH_END.py |
{
"filename": "awslambda.ipynb",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/tools/awslambda.ipynb",
"type": "Jupyter Notebook"
} | # AWS Lambda
>[`Amazon AWS Lambda`](https://aws.amazon.com/pm/lambda/) is a serverless computing service provided by `Amazon Web Services` (`AWS`). It helps developers to build and run applications and services without provisioning or managing servers. This serverless architecture enables you to focus on writing and d... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@tools@awslambda.ipynb@.PATH_END.py |
{
"filename": "mms_part_des_photoelectrons.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/mms/particles/mms_part_des_photoelectrons.py",
"type": "Python"
} | import os
import logging
from pyspedas.projects.mms.mms_config import CONFIG
from pyspedas.utilities.download import download
from pytplot import get_data, cdf_to_tplot
logging.captureWarnings(True)
logging.basicConfig(format='%(asctime)s: %(message)s', datefmt='%d-%b-%y %H:%M:%S', level=logging.INFO)
def mms_part_d... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@mms@particles@mms_part_des_photoelectrons.py@.PATH_END.py |
{
"filename": "lens_power.py",
"repo_name": "oliverphilcox/HADES",
"repo_path": "HADES_extracted/HADES-master/hades/lens_power.py",
"type": "Python"
} | import numpy as np
from hades.params import BICEP
a=BICEP()
from flipper import *
def ffp10_lensing(delensing_fraction=a.delensing_fraction,camb_spectrum=a.camb_spectrum):
""" Return a spline fit to the ffp10 lensing C_l^BB spectrum. This is NOT identical to the CAMB spectrum used otherwise.
If camb_spectrum=T... | oliverphilcoxREPO_NAMEHADESPATH_START.@HADES_extracted@HADES-master@hades@lens_power.py@.PATH_END.py |
{
"filename": "blender_visualization.md",
"repo_name": "projectchrono/chrono",
"repo_path": "chrono_extracted/chrono-main/doxygen/documentation/manuals/visualization/blender_visualization.md",
"type": "Markdown"
} | Blender Visualization (Offline) {#blender_visualization}
==================================
| projectchronoREPO_NAMEchronoPATH_START.@chrono_extracted@chrono-main@doxygen@documentation@manuals@visualization@blender_visualization.md@.PATH_END.py |
{
"filename": "luminosity_model--ECPL_2param--Gamma.py",
"repo_name": "DebduttaPaul/luminosity_function_of_sGRBs",
"repo_path": "luminosity_function_of_sGRBs_extracted/luminosity_function_of_sGRBs-master/luminosity_model--ECPL_2param--Gamma.py",
"type": "Python"
} | from __future__ import division
from astropy.io import ascii
from astropy.table import Table
from scipy.optimize import curve_fit
from scipy.integrate import quad, simps
import debduttaS_functions as mf
import specific_functions as sf
import time
import numpy as np
import matplotlib.pyplot as plt
plt.rc('axes', linewid... | DebduttaPaulREPO_NAMEluminosity_function_of_sGRBsPATH_START.@luminosity_function_of_sGRBs_extracted@luminosity_function_of_sGRBs-master@luminosity_model--ECPL_2param--Gamma.py@.PATH_END.py |
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