metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_unselected.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/choropleth/_unselected.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Unselected(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "choropleth"
_path_str = "choropleth.unselected"
_valid_props = {"marker"}
# marker
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@choropleth@_unselected.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "icecube/skyllh",
"repo_path": "skyllh_extracted/skyllh-master/skyllh/datasets/__init__.py",
"type": "Python"
} | icecubeREPO_NAMEskyllhPATH_START.@skyllh_extracted@skyllh-master@skyllh@datasets@__init__.py@.PATH_END.py | |
{
"filename": "_side.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/pathbar/_side.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="side", parent_name="treemap.pathbar", **kwargs):
super(SideValidator, 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@treemap@pathbar@_side.py@.PATH_END.py |
{
"filename": "Guide-checkpoint.ipynb",
"repo_name": "kevin-flaherty/disk_model3",
"repo_path": "disk_model3_extracted/disk_model3-master/.ipynb_checkpoints/Guide-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | This is a quick guide to running the Wesleyan python disk modeling code. It is based heavily on Katherine Rosenfeld's original idl code (Rosenfeld et al. 2013, among others), which is based on the structure in Dartois et al. 2003. More detail on the underlying disk structure used in this code can be found in Flaherty e... | kevin-flahertyREPO_NAMEdisk_model3PATH_START.@disk_model3_extracted@disk_model3-master@.ipynb_checkpoints@Guide-checkpoint.ipynb@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/tests/conftest.py",
"type": "Python"
} | # Ultralytics YOLO 🚀, AGPL-3.0 license
import shutil
from pathlib import Path
from tests import TMP
def pytest_addoption(parser):
"""
Add custom command-line options to pytest.
Args:
parser (pytest.config.Parser): The pytest parser object for adding custom command-line options.
Returns:
... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@tests@conftest.py@.PATH_END.py |
{
"filename": "common.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/python/common.py",
"type": "Python"
} | #!/usr/bin/env python
'''
This module contains some common routines used by other samples.
'''
# Python 2/3 compatibility
from __future__ import print_function
import sys
PY3 = sys.version_info[0] == 3
if PY3:
from functools import reduce
import numpy as np
import cv2 as cv
# built-in modules
import os
import ... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@python@common.py@.PATH_END.py |
{
"filename": "javelin_ai_gateway.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/chat_models/javelin_ai_gateway.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.chat_models.javelin_ai_gateway import (
ChatJavelinAIGateway,
ChatParams,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for rai... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@chat_models@javelin_ai_gateway.py@.PATH_END.py |
{
"filename": "vtk_xml_file_reader.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/sources/vtk_xml_file_reader.py",
"type": "Python"
} | """A VTK XML file reader object.
"""
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005, Enthought, Inc.
# License: BSD Style.
# Standard library imports.
from os.path import basename
# Enthought library imports.
from traits.api import Instance, List, Str, Bool, Button
from traitsui.api import... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@sources@vtk_xml_file_reader.py@.PATH_END.py |
{
"filename": "_zerolinecolor.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/xaxis/_zerolinecolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZerolinecolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="zerolinecolor", parent_name="layout.xaxis", **kwargs
):
super(ZerolinecolorValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@xaxis@_zerolinecolor.py@.PATH_END.py |
{
"filename": "fisher.py",
"repo_name": "wcoulton/CompressedFisher",
"repo_path": "CompressedFisher_extracted/CompressedFisher-main/CompressedFisher/fisher.py",
"type": "Python"
} | import numpy as np
import warnings
import scipy.linalg
central_difference_weights={
1: np.array([1.]),
2:np.array([-1/2.,+1/2.]),
4:np.array([1/12.,-2./3,+2./3.,-1./12.]),
6:np.array([-1./60,3./20,-3./4,0,3./4,-3./20,1./60])
}
def geometricMean(A,B):
AB = np.linalg.solve(A,B)
sqrt_AB = scipy.... | wcoultonREPO_NAMECompressedFisherPATH_START.@CompressedFisher_extracted@CompressedFisher-main@CompressedFisher@fisher.py@.PATH_END.py |
{
"filename": "_error_x.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/_error_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Error_XValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="error_x", parent_name="bar", **kwargs):
super(Error_XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@_error_x.py@.PATH_END.py |
{
"filename": "_shadow.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/indicator/number/font/_shadow.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="shadow", parent_name="indicator.number.font", **kwargs
):
super(ShadowValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@indicator@number@font@_shadow.py@.PATH_END.py |
{
"filename": "_tickmode.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contour/colorbar/_tickmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="tickmode", parent_name="contour.colorbar", **kwargs
):
super(TickmodeValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contour@colorbar@_tickmode.py@.PATH_END.py |
{
"filename": "snap.py",
"repo_name": "AFD-Illinois/ebhlight",
"repo_path": "ebhlight_extracted/ebhlight-master/script/analysis/snap.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib
import matplotlib.pyplot as plt
import plot as bplt
import sys, os
import hdf5_to_dict as io
import numpy as np
import sys
font = {'size' : 16}
matplotlib.rc('font', **font)
from argparse import ArgumentParser
parser = ArgumentParser(
description='Plot 2d slices of your simul... | AFD-IllinoisREPO_NAMEebhlightPATH_START.@ebhlight_extracted@ebhlight-master@script@analysis@snap.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/splom/marker/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="splom.marker.colorbar",
**kwargs,
):
super(ShowticksuffixValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@splom@marker@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "jonathansick/MoAstro",
"repo_path": "MoAstro_extracted/MoAstro-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import glob
import os
import sys
from setuptools import find_packages, setup
import moastro
# Set affiliated package-specific settings
PACKAGENAME = 'moastro'
DESCRIPTION = 'MongoDB framework for observational astronomers'
LONG_DES... | jonathansickREPO_NAMEMoAstroPATH_START.@MoAstro_extracted@MoAstro-master@setup.py@.PATH_END.py |
{
"filename": "meta.py",
"repo_name": "icrar/daliuge",
"repo_path": "daliuge_extracted/daliuge-master/daliuge-engine/dlg/meta.py",
"type": "Python"
} | #
# ICRAR - International Centre for Radio Astronomy Research
# (c) UWA - The University of Western Australia, 2016
# Copyright by UWA (in the framework of the ICRAR)
# All rights reserved
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser G... | icrarREPO_NAMEdaliugePATH_START.@daliuge_extracted@daliuge-master@daliuge-engine@dlg@meta.py@.PATH_END.py |
{
"filename": "_sunburst.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/_sunburst.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Sunburst(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "sunburst"
_valid_props = {
"branchvalues",
"count",
"customdata",
"cus... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@_sunburst.py@.PATH_END.py |
{
"filename": "pipe_commands.py",
"repo_name": "LSSTDESC/rail_pipelines",
"repo_path": "rail_pipelines_extracted/rail_pipelines-main/src/rail/cli/rail_pipe/pipe_commands.py",
"type": "Python"
} | from typing import Any
import click
from rail.core import __version__
from ...utils.project import RailProject
from . import pipe_options, pipe_scripts
from .reduce_roman_rubin_data import reduce_roman_rubin_data
@click.group()
@click.version_option(__version__)
def pipe_cli() -> None:
"""RAIL pipeline scripts... | LSSTDESCREPO_NAMErail_pipelinesPATH_START.@rail_pipelines_extracted@rail_pipelines-main@src@rail@cli@rail_pipe@pipe_commands.py@.PATH_END.py |
{
"filename": "all-objectives-and-metrics.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage/all-objectives-and-metrics.md",
"type": "Markdown"
} |
- {{ error-function--RMSE }}
- {{ error-function--Logit }}
- {{ error-function--MAE }}
- {{ error-function--CrossEntropy }}
- {{ error-function--Quantile }}
- {{ error-function--LogLinQuantile }}
- {{ error-function__lq }}
- {{ error-function__MultiRMSE }}
- {{ error-function--MultiClass }}
- {{ error-function--MultiC... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage@all-objectives-and-metrics.md@.PATH_END.py |
{
"filename": "_namelength.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/violin/hoverlabel/_namelength.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="namelength", parent_name="violin.hoverlabel", **kwargs
):
super(NamelengthValidator, self).__init__(
plotly_name=plotly_name,
p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@violin@hoverlabel@_namelength.py@.PATH_END.py |
{
"filename": "eleanor.py",
"repo_name": "KeplerGO/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/src/lightkurve/io/eleanor.py",
"type": "Python"
} | """Reader for GSFC-ELEANOR-LITE light curve files.
Details can be found at https://archive.stsci.edu/hlsp/eleanor and https://archive.stsci.edu/hlsp/gsfc-eleanor-lite
"""
from ..lightcurve import TessLightCurve
from ..utils import TessQualityFlags
from astropy import units as u
from .generic import read_generic_lightc... | KeplerGOREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@src@lightkurve@io@eleanor.py@.PATH_END.py |
{
"filename": "_valign.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/legend/_valign.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValignValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="valign", parent_name="layout.legend", **kwargs):
super(ValignValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@legend@_valign.py@.PATH_END.py |
{
"filename": "radial_integrals.py",
"repo_name": "temken/DarkARC",
"repo_path": "DarkARC_extracted/DarkARC-master/src/radial_integrals.py",
"type": "Python"
} | import sys
import time
import scipy.integrate as integrate
import scipy.special as special
import hankel
import mpmath as mp
import math
from hankel import HankelTransform
from wave_functions import *
def main():
start_tot = time.time()
# Test individual integrals with different methods
element = Ar
n = 3
l = ... | temkenREPO_NAMEDarkARCPATH_START.@DarkARC_extracted@DarkARC-master@src@radial_integrals.py@.PATH_END.py |
{
"filename": "sliderdemo.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/Pythonwin/pywin/Demos/sliderdemo.py",
"type": "Python"
} | # sliderdemo.py
# Demo of the slider control courtesy of Mike Fletcher.
import win32con
import win32ui
from pywin.mfc import dialog
class MyDialog(dialog.Dialog):
"""
Example using simple controls
"""
_dialogstyle = (
win32con.WS_MINIMIZEBOX
| win32con.WS_DLGFRAME
| win32con.... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@Pythonwin@pywin@Demos@sliderdemo.py@.PATH_END.py |
{
"filename": "tfsa-2021-177.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2021-177.md",
"type": "Markdown"
} | ## TFSA-2021-177: Use after free / memory leak in `CollectiveReduceV2`
### CVE Number
CVE-2021-41220
### Impact
The [async implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/collective_ops.cc#L604-L615) of `CollectiveReduceV2` suffers from a ... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2021-177.md@.PATH_END.py |
{
"filename": "_weight.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmap/colorbar/tickfont/_weight.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WeightValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self,
plotly_name="weight",
parent_name="choroplethmap.colorbar.tickfont",
**kwargs,
):
super(WeightValidator, self).__init__(
plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmap@colorbar@tickfont@_weight.py@.PATH_END.py |
{
"filename": "test_chemistry_struct_synched.py",
"repo_name": "grackle-project/grackle",
"repo_path": "grackle_extracted/grackle-main/src/python/tests/test_chemistry_struct_synched.py",
"type": "Python"
} | ########################################################################
#
# Explicitly test that the API for dynamically accessing fields of
# chemistry_data is synchronized with the members of chemistry_data
# (this is meant to identify the scenario where a new member gets added to
# chemistry_data but the dynamic AP... | grackle-projectREPO_NAMEgracklePATH_START.@grackle_extracted@grackle-main@src@python@tests@test_chemistry_struct_synched.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choroplethmapbox/colorbar/tickfont/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="choroplethmapbox.colorbar.tickfont",
**kwargs,
):
super(TextcaseValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmapbox@colorbar@tickfont@_textcase.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/polar/radialaxis/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="layout.polar.radialaxis.title.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@polar@radialaxis@title@font@_style.py@.PATH_END.py |
{
"filename": "simple_contour_in_slice.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/doc/source/cookbook/simple_contour_in_slice.py",
"type": "Python"
} | import yt
# Load the data file.
ds = yt.load("Sedov_3d/sedov_hdf5_chk_0002")
# Make a traditional slice plot.
sp = yt.SlicePlot(ds, "x", ("gas", "density"))
# Overlay the slice plot with thick red contours of density.
sp.annotate_contour(
("gas", "density"),
levels=3,
clim=(1e-2, 1e-1),
label=True,
... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@doc@source@cookbook@simple_contour_in_slice.py@.PATH_END.py |
{
"filename": "triangulation.md",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/doc/unconverted/python/triangulation.md",
"type": "Markdown"
} | ---
jupyter:
jupytext:
notebook_metadata_filter: all
text_representation:
extension: .md
format_name: markdown
format_version: '1.1'
jupytext_version: 1.1.1
kernelspec:
display_name: Python 2
language: python
name: python2
plotly:
permalink: python/triangulation/
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@doc@unconverted@python@triangulation.md@.PATH_END.py |
{
"filename": "utils.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/smith/evaluation/utils.py",
"type": "Python"
} | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@smith@evaluation@utils.py@.PATH_END.py | |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contourcarpet/colorbar/tickfont/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="contourcarpet.colorbar.tickfont",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contourcarpet@colorbar@tickfont@_style.py@.PATH_END.py |
{
"filename": "plots_waCDM.ipynb",
"repo_name": "igomezv/simplemc_tests",
"repo_path": "simplemc_tests_extracted/simplemc_tests-main/plots_waCDM.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import numdifftools as nd
import scipy.linalg as la
import matplotlib.pyplot as plt
from simplemc.DriverMC import DriverMC
from simplemc.plots import Simple_Plots
from simplemc.plots.Plot_elipses import plot_elipses
import corner
import arviz
from getdist import plots, MCSamples
import getd... | igomezvREPO_NAMEsimplemc_testsPATH_START.@simplemc_tests_extracted@simplemc_tests-main@plots_waCDM.ipynb@.PATH_END.py |
{
"filename": "OpResolverType.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tf/lite/experimental/OpResolverType.md",
"type": "Markdown"
} | page_type: reference
description: Different types of op resolvers for Tensorflow Lite.
<link rel="stylesheet" href="/site-assets/css/style.css">
<!-- DO NOT EDIT! Automatically generated file. -->
<div itemscope itemtype="http://developers.google.com/ReferenceObject">
<meta itemprop="name" content="tf.lite.experime... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tf@lite@experimental@OpResolverType.md@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram2d/colorbar/tickfont/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="histogram2d.colorbar.tickfont",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram2d@colorbar@tickfont@_lineposition.py@.PATH_END.py |
{
"filename": "pyuvdata_inspect.py",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/scripts/pyuvdata_inspect.py",
"type": "Python"
} | #!/usr/bin/env python
# Copyright (c) 2018 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Inspect attributes of pyuvdata objects."""
import argparse
import os
from pyuvdata import UVBeam, UVCal, UVData
# setup argparse
a = argparse.ArgumentParser(
description=(
"Inspect attri... | RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@scripts@pyuvdata_inspect.py@.PATH_END.py |
{
"filename": "foregrounds.py",
"repo_name": "HERA-Team/hera_sim",
"repo_path": "hera_sim_extracted/hera_sim-main/hera_sim/foregrounds.py",
"type": "Python"
} | """Visibility-space foreground models.
This module defines several cheap foreground models evaluated in visibility space.
"""
import numpy as np
from astropy import units
from . import utils
from .components import component
@component
class Foreground:
"""Base class for foreground models."""
pass
class... | HERA-TeamREPO_NAMEhera_simPATH_START.@hera_sim_extracted@hera_sim-main@hera_sim@foregrounds.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "moble/GWFrames",
"repo_path": "GWFrames_extracted/GWFrames-master/Code/GWFrames/plot.py",
"type": "Python"
} | """
This submodule specializes the usual pyplot.plot function to be used
as methods with Waveform objects.
"""
def plotWaveform(this, WaveformPart='Abs', Modes=(), t_fid=None, *pyplot_args, **pyplot_kwargs) :
"""
This function should be called as a method of the Waveform class,
e.g., as
>>> W.plot('A... | mobleREPO_NAMEGWFramesPATH_START.@GWFrames_extracted@GWFrames-master@Code@GWFrames@plot.py@.PATH_END.py |
{
"filename": "_fresnel.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/volume/lighting/_fresnel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fresnel", parent_name="volume.lighting", **kwargs):
super(FresnelValidator, 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@volume@lighting@_fresnel.py@.PATH_END.py |
{
"filename": "spark_sql.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/utilities/spark_sql.py",
"type": "Python"
} | from __future__ import annotations
from typing import TYPE_CHECKING, Any, Iterable, List, Optional
if TYPE_CHECKING:
from pyspark.sql import DataFrame, Row, SparkSession
class SparkSQL:
"""SparkSQL is a utility class for interacting with Spark SQL."""
def __init__(
self,
spark_session: ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@utilities@spark_sql.py@.PATH_END.py |
{
"filename": "sunau.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/sunau.py",
"type": "Python"
} | """Stuff to parse Sun and NeXT audio files.
An audio file consists of a header followed by the data. The structure
of the header is as follows.
+---------------+
| magic word |
+---------------+
| header size |
+---------------+
| data size |
+--------... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@sunau.py@.PATH_END.py |
{
"filename": "_dtick.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/yaxis/_dtick.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="dtick", parent_name="layout.scene.yaxis", **kwargs):
super(DtickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@yaxis@_dtick.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/marker/line/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(
self,
plotly_name="colorscale",
parent_name="scatterpolargl.marker.line",
**kwargs,
):
super(ColorscaleValidator, self).__init__(
p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@marker@line@_colorscale.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/cookbooks/ACS/SBC_basic_extraction/README.md",
"type": "Markdown"
} | In this Jupyter Notebook tutorial, we present the workflow for performing a basic spectral extraction using ACS/SBC Prism full frame data with the HSTaXe software.
This directory, once cloned/downloaded, should contain this README.md, the tutorial Jupyter Notebook acs_sbc_hstaxe.ipynb, and a .HTML copy of the notebook... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@cookbooks@ACS@SBC_basic_extraction@README.md@.PATH_END.py |
{
"filename": "renderer.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/matplotlylib/renderer.py",
"type": "Python"
} | """
Renderer Module
This module defines the PlotlyRenderer class and a single function,
fig_to_plotly, which is intended to be the main way that user's will interact
with the matplotlylib package.
"""
from __future__ import absolute_import
import six
import warnings
import plotly.graph_objs as go
from plotly.matplo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@matplotlylib@renderer.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/streamtube/legendgrouptitle/font/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="streamtube.legendgrouptitle.font",
**kwargs,
):
super(TextcaseValidator, self).__init__(
p... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@streamtube@legendgrouptitle@font@_textcase.py@.PATH_END.py |
{
"filename": "example_split.py",
"repo_name": "icrar/daliuge",
"repo_path": "daliuge_extracted/daliuge-master/daliuge-engine/test/integrate/example_split.py",
"type": "Python"
} | """
This is an example of splitting a measurementset using the CASA MSTRANSFORM task
We need to develop a template based on it so it can get multiple spws based on
frequency ranges and widths
To run it standalone, change the directories, which are now hardcoded
"""
# pylint: skip-file
import datetime
import os
import... | icrarREPO_NAMEdaliugePATH_START.@daliuge_extracted@daliuge-master@daliuge-engine@test@integrate@example_split.py@.PATH_END.py |
{
"filename": "par_hierarchical_inference.py",
"repo_name": "sterinaldi/figaro",
"repo_path": "figaro_extracted/figaro-main/figaro/_pipelines/par_hierarchical_inference.py",
"type": "Python"
} | import numpy as np
import optparse
import importlib
import warnings
from pathlib import Path
from tqdm import tqdm
from figaro.mixture import DPGMM, HDPGMM
from figaro.utils import save_options, load_options, get_priors
from figaro.plot import plot_median_cr, plot_multidim
from figaro.load import load_data, load_sin... | sterinaldiREPO_NAMEfigaroPATH_START.@figaro_extracted@figaro-main@figaro@_pipelines@par_hierarchical_inference.py@.PATH_END.py |
{
"filename": "compute_second_order_aperture_mass_correlations_HOWLS.py",
"repo_name": "sheydenreich/threepoint",
"repo_path": "threepoint_extracted/threepoint-main/python_scripts/old/compute_second_order_aperture_mass_correlations_HOWLS.py",
"type": "Python"
} | from utility import extract_second_order_aperture_masses
import numpy as np
import sys
from tqdm import tqdm
import multiprocessing.managers
from multiprocessing import Pool
from astropy.io import fits
import os
class MyManager(multiprocessing.managers.BaseManager):
pass
MyManager.register('np_zeros', np.zeros, mu... | sheydenreichREPO_NAMEthreepointPATH_START.@threepoint_extracted@threepoint-main@python_scripts@old@compute_second_order_aperture_mass_correlations_HOWLS.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "toros-astro/corral",
"repo_path": "corral_extracted/corral-master/corral/template/template/__init__.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created at ${timestamp} by corral ${version}
# =============================================================================
# DOCS
# =============================================================================
"""${project_name} a corral pipeline
"""
| toros-astroREPO_NAMEcorralPATH_START.@corral_extracted@corral-master@corral@template@template@__init__.py@.PATH_END.py |
{
"filename": "rfi_flagging.py",
"repo_name": "TianlaiProject/tlpipe",
"repo_path": "tlpipe_extracted/tlpipe-master/tlpipe/timestream/rfi_flagging.py",
"type": "Python"
} | """RFI flagging.
Inheritance diagram
-------------------
.. inheritance-diagram:: Flag
:parts: 2
"""
import numpy as np
import timestream_task
from tlpipe.container.raw_timestream import RawTimestream
from tlpipe.container.timestream import Timestream
from tlpipe.rfi import interpolate
from tlpipe.rfi import gau... | TianlaiProjectREPO_NAMEtlpipePATH_START.@tlpipe_extracted@tlpipe-master@tlpipe@timestream@rfi_flagging.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "ARCLab-MIT/kspdg",
"repo_path": "kspdg_extracted/kspdg-main/src/kspdg/agent_api/README.md",
"type": "Markdown"
} | # Agent API
This subpackage provides an API, or base classes, for defining differential game agents and running those agents within specific KSPDG environments | ARCLab-MITREPO_NAMEkspdgPATH_START.@kspdg_extracted@kspdg-main@src@kspdg@agent_api@README.md@.PATH_END.py |
{
"filename": "test_normalize.py",
"repo_name": "grahambell/pymoc",
"repo_path": "pymoc_extracted/pymoc-main/test/test_normalize.py",
"type": "Python"
} | # Copyright (C) 2014 Science and Technology Facilities Council.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Th... | grahambellREPO_NAMEpymocPATH_START.@pymoc_extracted@pymoc-main@test@test_normalize.py@.PATH_END.py |
{
"filename": "_dtickrange.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/treemap/marker/colorbar/tickformatstop/_dtickrange.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DtickrangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self,
plotly_name="dtickrange",
parent_name="treemap.marker.colorbar.tickformatstop",
**kwargs,
):
super(DtickrangeValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@treemap@marker@colorbar@tickformatstop@_dtickrange.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "Zafiirah13/FRBID",
"repo_path": "FRBID_extracted/FRBID-master/FRBID_code/setup.py",
"type": "Python"
} | from setuptools import setup, find_packages
setup(name = 'FRBID',
version = '1.0.0',
description = 'Fast Radio Burst Intelligent Distinguisher using Deep Learning',
author = 'Zafiirah Hosenie',
author_email = 'zafiirah.hosenie@gmail.com',
license = 'MIT',
url = 'https://github.com/Z... | Zafiirah13REPO_NAMEFRBIDPATH_START.@FRBID_extracted@FRBID-master@FRBID_code@setup.py@.PATH_END.py |
{
"filename": "map_funcs.py",
"repo_name": "ebaxter/CMBClusterLens",
"repo_path": "CMBClusterLens_extracted/CMBClusterLens-main/map_funcs.py",
"type": "Python"
} | import numpy as np
def get_theta_maps(map_settings):
"""Get theta maps in radians."""
N_pix = map_settings['N_pix']
pix_size_arcmin = map_settings['pix_size_arcmin']
x_row = (np.arange(N_pix) - 0.5*(N_pix-1.))*pix_size_arcmin + map_settings['map_center_x_arcmin']
y_row = (np.arange(N_pix) - 0.5*(N... | ebaxterREPO_NAMECMBClusterLensPATH_START.@CMBClusterLens_extracted@CMBClusterLens-main@map_funcs.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/yaxis/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._autorangeoptions import Autorangeoptions
from ._minor import Minor
from ._rangebreak import Rangebreak
from ._tickfont import Tickfont
from ._tickformatstop import Tickformatstop
from ._title impor... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@layout@yaxis@__init__.py@.PATH_END.py |
{
"filename": "index.md",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/docs/integrations/providers/portkey/index.md",
"type": "Markdown"
} | # Portkey
[Portkey](https://portkey.ai) is the Control Panel for AI apps. With it's popular AI Gateway and Observability Suite, hundreds of teams ship **reliable**, **cost-efficient**, and **fast** apps.
## LLMOps for Langchain
Portkey brings production readiness to Langchain. With Portkey, you can
- [x] Connect to... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@docs@integrations@providers@portkey@index.md@.PATH_END.py |
{
"filename": "setup_package.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/exoplanet_orbit_database/setup_package.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
def get_package_data():
paths_core = [os.path.join('data', '*.json'),
os.path.join('tests', 'data', '*.csv')]
return {'astroquery.exoplanet_orbit_database': paths_core}
| astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@exoplanet_orbit_database@setup_package.py@.PATH_END.py |
{
"filename": "MFieldCosmology.py",
"repo_name": "ja-vazquez/SimpleMC",
"repo_path": "SimpleMC_extracted/SimpleMC-master/simplemc/models/MFieldCosmology.py",
"type": "Python"
} | ## This is Multi field cosmology
#Using the dynamical system approach
import numpy as np
from simplemc.models.LCDMCosmology import LCDMCosmology
from scipy.interpolate import interp1d
from scipy.integrate import odeint
from scipy.optimize import newton
import sys
class MFieldCosmology(LCDMCosmology):
def __init_... | ja-vazquezREPO_NAMESimpleMCPATH_START.@SimpleMC_extracted@SimpleMC-master@simplemc@models@MFieldCosmology.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/shape/legendgrouptitle/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="layout.shape.legendgrouptitle.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@shape@legendgrouptitle@font@_style.py@.PATH_END.py |
{
"filename": "demo.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipython/py2/IPython/lib/demo.py",
"type": "Python"
} | """Module for interactive demos using IPython.
This module implements a few classes for running Python scripts interactively
in IPython for demonstrations. With very simple markup (a few tags in
comments), you can control points where the script stops executing and returns
control to IPython.
Provided classes
-----... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipython@py2@IPython@lib@demo.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/funnelarea/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "funnelarea"
_path_str = "funnelarea.marker"
_valid_props = {"colors", "colorssrc", "line", "... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@funnelarea@_marker.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_compressors/__init__.py",
"type": "Python"
} | import importlib
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from langchain_community.document_compressors.dashscope_rerank import (
DashScopeRerank,
)
from langchain_community.document_compressors.flashrank_rerank import (
FlashrankRerank,
)
from langchain_community.doc... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_compressors@__init__.py@.PATH_END.py |
{
"filename": "_side.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/smith/realaxis/_side.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="side", parent_name="layout.smith.realaxis", **kwargs
):
super(SideValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@smith@realaxis@_side.py@.PATH_END.py |
{
"filename": "omniglot.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/torchvision/datasets/omniglot.py",
"type": "Python"
} | from os.path import join
from pathlib import Path
from typing import Any, Callable, List, Optional, Tuple, Union
from PIL import Image
from .utils import check_integrity, download_and_extract_archive, list_dir, list_files
from .vision import VisionDataset
class Omniglot(VisionDataset):
"""`Omniglot <https://git... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@torchvision@datasets@omniglot.py@.PATH_END.py |
{
"filename": "_cmax.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/_cmax.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CmaxValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="cmax", parent_name="scattercarpet.marker", **kwargs
):
super(CmaxValidator, self).__init__(
plotly_name=plotly_name,
parent_name=paren... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@_cmax.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "dtamayo/reboundx",
"repo_path": "reboundx_extracted/reboundx-main/reboundx/test/__init__.py",
"type": "Python"
} | dtamayoREPO_NAMEreboundxPATH_START.@reboundx_extracted@reboundx-main@reboundx@test@__init__.py@.PATH_END.py | |
{
"filename": "_pi_k_k.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/hazma/form_factors/vector/_pi_k_k.py",
"type": "Python"
} | """Module implementing the pi-k-k form factors."""
import abc
from dataclasses import InitVar, dataclass, field
from typing import overload
import numpy as np
from hazma.phase_space import PhaseSpaceDistribution1D
from hazma.utils import ComplexArray, ComplexOrComplexArray, RealArray, RealOrRealArray
from . import ... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@hazma@form_factors@vector@_pi_k_k.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/ollama/README.md",
"type": "Markdown"
} | # langchain-ollama
This package contains the LangChain integration with Ollama
## Installation
```bash
pip install -U langchain-ollama
```
You will also need to run the Ollama server locally.
You can download it [here](https://ollama.com/download).
## Chat Models
`ChatOllama` class exposes chat models from Ollam... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@ollama@README.md@.PATH_END.py |
{
"filename": "json_to_phot.py",
"repo_name": "astrocatalogs/supernovae",
"repo_path": "supernovae_extracted/supernovae-master/scripts/json_to_phot.py",
"type": "Python"
} | import json
import numpy as np
import matplotlib.pyplot as plt
file = raw_input('File to read: ')
sn = file.split('.')[0]
f = open(file,'r')
data=json.load(f)
f.close()
lc = []
for i in data[sn]['photometry']:
try:
time = i['time']
mag = i['magnitude']
try: err = i['e_magnitude']
... | astrocatalogsREPO_NAMEsupernovaePATH_START.@supernovae_extracted@supernovae-master@scripts@json_to_phot.py@.PATH_END.py |
{
"filename": "_column.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sankey/domain/_column.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColumnValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(self, plotly_name="column", parent_name="sankey.domain", **kwargs):
super(ColumnValidator, 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@sankey@domain@_column.py@.PATH_END.py |
{
"filename": "function_utils_test.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/util/function_utils_test.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@util@function_utils_test.py@.PATH_END.py |
{
"filename": "random.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/jax/random.py",
"type": "Python"
} | import jax
from keras.src.backend.config import floatx
from keras.src.random.seed_generator import SeedGenerator
from keras.src.random.seed_generator import draw_seed
from keras.src.random.seed_generator import make_default_seed
def jax_draw_seed(seed):
if isinstance(seed, jax.Array):
return seed
els... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@jax@random.py@.PATH_END.py |
{
"filename": "pysr_demo.ipynb",
"repo_name": "MilesCranmer/PySR",
"repo_path": "PySR_extracted/PySR-master/examples/pysr_demo.ipynb",
"type": "Jupyter Notebook"
} | # Setup
## Instructions
1. Work on a copy of this notebook: _File_ > _Save a copy in Drive_ (you will need a Google account).
2. (Optional) If you would like to do the deep learning component of this tutorial, turn on the GPU with Edit->Notebook settings->Hardware accelerator->GPU
```
!pip install -U pysr
```
Juli... | MilesCranmerREPO_NAMEPySRPATH_START.@PySR_extracted@PySR-master@examples@pysr_demo.ipynb@.PATH_END.py |
{
"filename": "_widthsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/line/_widthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class WidthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="widthsrc", parent_name="scattercarpet.marker.line", **kwargs
):
super(WidthsrcValidator, self).__init__(
plotly_name=plotly_name,
par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@line@_widthsrc.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "marblestation/posidonius",
"repo_path": "posidonius_extracted/posidonius-master/posidonius/effects/__init__.py",
"type": "Python"
} | import posidonius.effects.disk
import posidonius.effects.general_relativity
import posidonius.effects.rotational_flattening
import posidonius.effects.tides
import posidonius.effects.wind
import posidonius.effects.evolution
| marblestationREPO_NAMEposidoniusPATH_START.@posidonius_extracted@posidonius-master@posidonius@effects@__init__.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/ohlc/_line.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Line(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "ohlc"
_path_str = "ohlc.line"
_valid_props = {"dash", "width"}
# dash
# ----
@pro... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@ohlc@_line.py@.PATH_END.py |
{
"filename": "_warnings.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pluggy/py3/pluggy/_warnings.py",
"type": "Python"
} | from typing import final
class PluggyWarning(UserWarning):
"""Base class for all warnings emitted by pluggy."""
__module__ = "pluggy"
@final
class PluggyTeardownRaisedWarning(PluggyWarning):
"""A plugin raised an exception during an :ref:`old-style hookwrapper
<old_style_hookwrappers>` teardown.
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pluggy@py3@pluggy@_warnings.py@.PATH_END.py |
{
"filename": "test_hm12.py",
"repo_name": "galtay/rabacus",
"repo_path": "rabacus_extracted/rabacus-master/rabacus/unittest/test_hm12.py",
"type": "Python"
} | """ Test the HM12 UV background model.
http://adsabs.harvard.edu/abs/2012ApJ...746..125H
"""
import unittest
import numpy as np
import rabacus as ra
H1i_z0p00 = 0.228e-13 / ra.U.s
H1h_z0p00 = 0.889e-13 * ra.U.eV / ra.U.s
He2i_z15p10 = 0.192e-22 / ra.U.s
He2h_z15p10 = 0.154e-19 * ra.U.eV / ra.U.s
class TestHM12... | galtayREPO_NAMErabacusPATH_START.@rabacus_extracted@rabacus-master@rabacus@unittest@test_hm12.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/barpolar/unselected/textfont/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._color.ColorValidator"]
)
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@barpolar@unselected@textfont@__init__.py@.PATH_END.py |
{
"filename": "_arrowhead.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/annotation/_arrowhead.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ArrowheadValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="arrowhead", parent_name="layout.annotation", **kwargs
):
super(ArrowheadValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@annotation@_arrowhead.py@.PATH_END.py |
{
"filename": "_bordercolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/hoverlabel/_bordercolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bordercolor", parent_name="choropleth.hoverlabel", **kwargs
):
super(BordercolorValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@hoverlabel@_bordercolor.py@.PATH_END.py |
{
"filename": "knownissues.md",
"repo_name": "HETDEX/hetdex_api",
"repo_path": "hetdex_api_extracted/hetdex_api-master/known_issues/hdr1/knownissues.md",
"type": "Markdown"
} | # List of known issues
## Bad shots
A list of badshots that should be removed according to science goals are contained in:
badshots.list
Any detections contained in the shot are removed upon initialization of Detections() API. Users not using this call should remove the detections in their code.
These engineering... | HETDEXREPO_NAMEhetdex_apiPATH_START.@hetdex_api_extracted@hetdex_api-master@known_issues@hdr1@knownissues.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ucberkeleyseti/blimpy",
"repo_path": "blimpy_extracted/blimpy-master/blimpy/__init__.py",
"type": "Python"
} | from __future__ import absolute_import
try:
from . import waterfall
from .waterfall import Waterfall
from .guppi import GuppiRaw
from . import utils
from . import fil2h5
from . import h52fil
from . import h5diag
from . import bl_scrunch
from . import calcload
from . import rawhd... | ucberkeleysetiREPO_NAMEblimpyPATH_START.@blimpy_extracted@blimpy-master@blimpy@__init__.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/indicator/gauge/axis/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="indicator.gauge.axis", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@indicator@gauge@axis@_showticksuffix.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "gmbrandt/HTOF",
"repo_path": "HTOF_extracted/HTOF-main/htof/main.py",
"type": "Python"
} | """
Driver script for htof.
The Astrometry class is what a user should use to both parse and fit the intermediate astrometric data.
Author: G. Mirek Brandt
"""
from astropy.time import Time
from astropy.coordinates import Angle
import warnings
from htof.fit import AstrometricFitter
from htof.special_parse import to_... | gmbrandtREPO_NAMEHTOFPATH_START.@HTOF_extracted@HTOF-main@htof@main.py@.PATH_END.py |
{
"filename": "test_ssodnet.py",
"repo_name": "maxmahlke/rocks",
"repo_path": "rocks_extracted/rocks-master/tests/test_ssodnet.py",
"type": "Python"
} | import warnings
import pytest
import rocks
@pytest.mark.parametrize("id_", ["Ceres", "doesnotexist"])
def test_get_ssoCard(id_):
warnings.filterwarnings("ignore", "UserWarning")
card = rocks.ssodnet.get_ssocard(id_)
if id_ == "Ceres":
assert isinstance(card, dict)
else:
assert card i... | maxmahlkeREPO_NAMErocksPATH_START.@rocks_extracted@rocks-master@tests@test_ssodnet.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "ArgonneCPAC/dsps",
"repo_path": "dsps_extracted/dsps-main/docs/source/conf.py",
"type": "Python"
} | """
"""
from pkg_resources import DistributionNotFound, get_distribution
try:
__version__ = get_distribution("emcee").version
except DistributionNotFound:
__version__ = "unknown version"
project = "dsps"
copyright = "2023, Andrew Hearin"
author = "Andrew Hearin"
version = __version__
release = __version__
#... | ArgonneCPACREPO_NAMEdspsPATH_START.@dsps_extracted@dsps-main@docs@source@conf.py@.PATH_END.py |
{
"filename": "_bordercolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/violin/hoverlabel/_bordercolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bordercolorsrc", parent_name="violin.hoverlabel", **kwargs
):
super(BordercolorsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@violin@hoverlabel@_bordercolorsrc.py@.PATH_END.py |
{
"filename": "inset_locator_demo.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/axes_grid1/inset_locator_demo.py",
"type": "Python"
} | """
==================
Inset locator demo
==================
"""
# %%
# The `.inset_locator`'s `~.inset_locator.inset_axes` allows
# easily placing insets in the corners of the Axes by specifying a width and
# height and optionally a location (loc) that accepts locations as codes,
# similar to `~matplotlib.axes.Axes.... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@axes_grid1@inset_locator_demo.py@.PATH_END.py |
{
"filename": "additional-simulation-initialization-examples.ipynb",
"repo_name": "small-body-dynamics/SBDynT",
"repo_path": "SBDynT_extracted/SBDynT-main/example-notebooks/Advanced-Features-and-Tools/additional-simulation-initialization-examples.ipynb",
"type": "Jupyter Notebook"
} | ```python
import rebound
import sys
#change the next line to reflect where you have downloaded the source code
sys.path.insert(0, '/Users/kvolk/Documents/GitHub/SBDynT/src')
import sbdynt as sbd
```
**Example of setting up an integration based on an orbit fit from find_orb:**
```python
obj_name='example'
#Find_orb o... | small-body-dynamicsREPO_NAMESBDynTPATH_START.@SBDynT_extracted@SBDynT-main@example-notebooks@Advanced-Features-and-Tools@additional-simulation-initialization-examples.ipynb@.PATH_END.py |
{
"filename": "test_literal_validator.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/_plotly_utils/tests/validators/test_literal_validator.py",
"type": "Python"
} | import pytest
from _plotly_utils.basevalidators import LiteralValidator
import numpy as np
# Fixtures
# --------
@pytest.fixture()
def validator():
return LiteralValidator("prop", "parent", "scatter")
# Tests
# -----
# ### Acceptance ###
@pytest.mark.parametrize("val", ["scatter"])
def test_acceptance(val, vali... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@_plotly_utils@tests@validators@test_literal_validator.py@.PATH_END.py |
{
"filename": "remstriping.py",
"repo_name": "spacetelescope/jwebbinar_prep",
"repo_path": "jwebbinar_prep_extracted/jwebbinar_prep-main/ceers/nircam/remstriping.py",
"type": "Python"
} | import os
import shutil
from glob import glob
import argparse
import logging
from datetime import datetime
import numpy as np
from astropy.io import fits
from astropy.stats import sigma_clipped_stats
from scipy.optimize import curve_fit
import yaml
# jwst-related imports
from jwst.datamodels import ImageModel, FlatMode... | spacetelescopeREPO_NAMEjwebbinar_prepPATH_START.@jwebbinar_prep_extracted@jwebbinar_prep-main@ceers@nircam@remstriping.py@.PATH_END.py |
{
"filename": "train.py",
"repo_name": "deepskies/DeepSLIDE",
"repo_path": "DeepSLIDE_extracted/DeepSLIDE-main/src/scripts/train.py",
"type": "Python"
} | """
Simple stubs to use for re-train of the final model
Can leave a default data source, or specify that 'load data' loads the dataset used in the final version
"""
import argparse
def architecture():
"""
:return: compiled architecture of the model you want to have trained
"""
return 0
def load_data(... | deepskiesREPO_NAMEDeepSLIDEPATH_START.@DeepSLIDE_extracted@DeepSLIDE-main@src@scripts@train.py@.PATH_END.py |
{
"filename": "sampler.py",
"repo_name": "brinckmann/montepython_public",
"repo_path": "montepython_public_extracted/montepython_public-master/montepython/sampler.py",
"type": "Python"
} | """
.. module:: sampler
:synopsis: Generic sampler
.. moduleauthor:: Benjamin Audren <benjamin.audren@epfl.ch>
.. moduleauthor:: Surhudm More <>
This module defines one key function, :func:`run`, that distributes the work to
the desired actual sampler (Metropolis Hastings, MultiNest, or PolyChord so far).
It also... | brinckmannREPO_NAMEmontepython_publicPATH_START.@montepython_public_extracted@montepython_public-master@montepython@sampler.py@.PATH_END.py |
{
"filename": "noise_model.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/mapmaking/noise_model.py",
"type": "Python"
} | ################################
####### Noise model stuff ######
################################
import numpy as np
import so3g
from pixell import fft, utils, bunch
from .utilities import *
class Nmat:
def __init__(self):
"""Initialize the noise model. In subclasses this will typically set up parameter... | simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@mapmaking@noise_model.py@.PATH_END.py |
{
"filename": "HypervelocityWhiteDwarfCandidatesInGaiaDR3.ipynb",
"repo_name": "astro-datalab/notebooks-latest",
"repo_path": "notebooks-latest_extracted/notebooks-latest-master/03_ScienceExamples/WhiteDwarfs/HypervelocityWhiteDwarfCandidatesInGaiaDR3.ipynb",
"type": "Jupyter Notebook"
} | ```python
__nbid__ = '0032'
__author__ = 'Alice Jacques <alice.jacques@noirlab.edu>'
__version__ = '20240606' # yyyymmdd
__datasets__ = ['gaia_dr3']
__keywords__ = ['science example', 'stars', 'parallax', 'vospace']
```
# Using Gaia DR3 to identify hyper-runaway and hypervelocity white dwarf candidates
### Table of c... | astro-datalabREPO_NAMEnotebooks-latestPATH_START.@notebooks-latest_extracted@notebooks-latest-master@03_ScienceExamples@WhiteDwarfs@HypervelocityWhiteDwarfCandidatesInGaiaDR3.ipynb@.PATH_END.py |
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