metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scatterpolar/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatterpolar"
_path_str = "scatterpolar.marker"
_valid_props = {
"angle",
"a... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@scatterpolar@_marker.py@.PATH_END.py |
{
"filename": "test_datacontainer.py",
"repo_name": "HERA-Team/hera_cal",
"repo_path": "hera_cal_extracted/hera_cal-main/hera_cal/tests/test_datacontainer.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright 2019 the HERA Project
# Licensed under the MIT License
import pytest
import numpy as np
import os
from copy import deepcopy
from hera_sim.antpos import hex_array
from .. import abscal, datacontainer, io, redcal
from ..data import DATA_PATH
from ..utils import reverse_bl
@pytest.m... | HERA-TeamREPO_NAMEhera_calPATH_START.@hera_cal_extracted@hera_cal-main@hera_cal@tests@test_datacontainer.py@.PATH_END.py |
{
"filename": "_ids.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/waterfall/_ids.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="ids", parent_name="waterfall", **kwargs):
super(IdsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@waterfall@_ids.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "andreicuceu/vega",
"repo_path": "vega_extracted/vega-master/vega/parameters/__init__.py",
"type": "Python"
} | andreicuceuREPO_NAMEvegaPATH_START.@vega_extracted@vega-master@vega@parameters@__init__.py@.PATH_END.py | |
{
"filename": "tool.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/tools/cassandra_database/tool.py",
"type": "Python"
} | """Tools for interacting with an Apache Cassandra database."""
from __future__ import annotations
import traceback
from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence, Type, Union
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.tools import BaseTool
from pydantic import... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@tools@cassandra_database@tool.py@.PATH_END.py |
{
"filename": "_templateitemname.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnel/marker/colorbar/tickformatstop/_templateitemname.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TemplateitemnameValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="templateitemname",
parent_name="funnel.marker.colorbar.tickformatstop",
**kwargs,
):
super(TemplateitemnameValidator, self... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@funnel@marker@colorbar@tickformatstop@_templateitemname.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/waterfall/decreasing/marker/line/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._width import WidthValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._width.Wi... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@waterfall@decreasing@marker@line@__init__.py@.PATH_END.py |
{
"filename": "pandexo.py",
"repo_name": "natashabatalha/PandExo",
"repo_path": "PandExo_extracted/PandExo-master/pandexo/engine/pandexo.py",
"type": "Python"
} | def wrapper(dictinput, verbose=False):
"""Tpo level function to call either jwst, hst, wfirst
Top level function which calls either jwst, hst or wfirst noise simulation.
Parameters
----------
dictinput :
dictionary containing instrument parameters and exoplanet
specific ... | natashabatalhaREPO_NAMEPandExoPATH_START.@PandExo_extracted@PandExo-master@pandexo@engine@pandexo.py@.PATH_END.py |
{
"filename": "get_flat_field.py",
"repo_name": "Exo-TiC/ExoTiC-JEDI",
"repo_path": "ExoTiC-JEDI_extracted/ExoTiC-JEDI-master/exotic_jedi/stage_2/get_flat_field.py",
"type": "Python"
} | import os
import shutil
import numpy as np
from astropy.io import fits
from jwst import datamodels
from jwst.stpipe import Step
from jwst.pipeline.calwebb_spec2 import flat_field_step
class FlatFieldStep(Step):
""" Get flat field step.
This steps enables the user to get and save flat field data.
"""
... | Exo-TiCREPO_NAMEExoTiC-JEDIPATH_START.@ExoTiC-JEDI_extracted@ExoTiC-JEDI-master@exotic_jedi@stage_2@get_flat_field.py@.PATH_END.py |
{
"filename": "visualization_jupyter-notebook.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/features/visualization_jupyter-notebook.md",
"type": "Markdown"
} | # Jupyter Notebook
[Additional packages for data visualization support](../installation/python-installation-additional-data-visualization-packages.md) must be installed to plot charts in [Jupyter Notebook](http://jupyter.org/).
{% note info %}
CatBoost widgets do work in JupyterLab but only for versions 3.x, version... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@features@visualization_jupyter-notebook.md@.PATH_END.py |
{
"filename": "plot_Fig7.py",
"repo_name": "ja-vazquez/SimpleMC",
"repo_path": "SimpleMC_extracted/SimpleMC-master/simplemc/plots/plot_Fig7.py",
"type": "Python"
} | #!/usr/bin/env python
# Error bars mainly got them from
# table 3 at
# http://arxiv.org/pdf/1108.2635v1.pdf
from RunBase import *
import matplotlib.pyplot as plt
import matplotlib.ticker
import pylab
import math as N
plaw = 0.5
params1 = {'backend': 'pdf',
'axes.labelsize': 30,
'text.fontsize'... | ja-vazquezREPO_NAMESimpleMCPATH_START.@SimpleMC_extracted@SimpleMC-master@simplemc@plots@plot_Fig7.py@.PATH_END.py |
{
"filename": "do_llh_outFoV4realtime2.py",
"repo_name": "Swift-BAT/NITRATES",
"repo_path": "NITRATES_extracted/NITRATES-main/nitrates/llh_analysis/do_llh_outFoV4realtime2.py",
"type": "Python"
} | import numpy as np
from astropy.io import fits
from astropy.table import Table
from astropy.wcs import WCS
import os
import argparse
import logging, traceback
import time
import pandas as pd
import gc
from copy import copy, deepcopy
from ..analysis_seeds.bkg_rate_estimation import rate_obj_from_sqltab
from ..lib.sqlit... | Swift-BATREPO_NAMENITRATESPATH_START.@NITRATES_extracted@NITRATES-main@nitrates@llh_analysis@do_llh_outFoV4realtime2.py@.PATH_END.py |
{
"filename": "sku-110k.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/datasets/detect/sku-110k.md",
"type": "Markdown"
} | ---
comments: true
description: Explore the SKU-110k dataset of densely packed retail shelf images, perfect for training and evaluating deep learning models in object detection tasks.
keywords: SKU-110k, dataset, object detection, retail shelf images, deep learning, computer vision, model training
---
# SKU-110k Datas... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@datasets@detect@sku-110k.md@.PATH_END.py |
{
"filename": "scipy_signal_test.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/tests/scipy_signal_test.py",
"type": "Python"
} | # Copyright 2020 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... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@tests@scipy_signal_test.py@.PATH_END.py |
{
"filename": "linear.py",
"repo_name": "DeaglanBartlett/symbolic_pofk",
"repo_path": "symbolic_pofk_extracted/symbolic_pofk-main/symbolic_pofk/linear.py",
"type": "Python"
} | import numpy as np
import warnings
import scipy.integrate
from colossus.cosmology import cosmology
def pk_EisensteinHu_zb(k, sigma8, Om, Ob, h, ns, use_colossus=False, integral_norm=True):
"""
Compute the Eisentein & Hu 1998 zero-baryon approximation to P(k) at z=0
Args:
:k (np.ndarray): k values... | DeaglanBartlettREPO_NAMEsymbolic_pofkPATH_START.@symbolic_pofk_extracted@symbolic_pofk-main@symbolic_pofk@linear.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/heatmapgl/colorbar/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="bgcolor", parent_name="heatmapgl.colorbar", **kwargs
):
super(BgcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@heatmapgl@colorbar@_bgcolor.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/benchmark/fortran/pm_arrayRefill/setRefilled_vs_direct/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
fontsize = 14
methods = ["setRefilled", "direct"]
df = pd.read_csv("main.out")
####################################################################################################################################
#### Plot ... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@benchmark@fortran@pm_arrayRefill@setRefilled_vs_direct@main.py@.PATH_END.py |
{
"filename": "_autocolorscale.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/marker/line/_autocolorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="autocolorscale",
parent_name="scattercarpet.marker.line",
**kwargs,
):
super(AutocolorscaleValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@marker@line@_autocolorscale.py@.PATH_END.py |
{
"filename": "search_inference.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/tutorial/source/search_inference.py",
"type": "Python"
} | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
"""
Inference algorithms and utilities used in the RSA example models.
Adapted from: http://dippl.org/chapters/03-enumeration.html
"""
import collections
import functools
import queue
import torch
import pyro.distributions as d... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@tutorial@source@search_inference.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/core/chat/__init__.py",
"type": "Python"
} | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@core@chat@__init__.py@.PATH_END.py | |
{
"filename": "comparison_adult.ipynb",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/benchmarks/quality_benchmarks/notebooks/comparison_adult.ipynb",
"type": "Jupyter Notebook"
} | # Comparing algorithms on the Adult dataset
The data is taken from [this source](https://archive.ics.uci.edu/ml/datasets/Adult).
For details on running the comparison, see [this article](https://github.com/catboost/benchmarks/blob/master/comparison_description.pdf).
```python
from experiment import Experiment
from x... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@benchmarks@quality_benchmarks@notebooks@comparison_adult.ipynb@.PATH_END.py |
{
"filename": "ollama.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/embeddings/ollama.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.embeddings import OllamaEmbeddings
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DE... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@embeddings@ollama.py@.PATH_END.py |
{
"filename": "_token.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/ohlc/stream/_token.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TokenValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="token", parent_name="ohlc.stream", **kwargs):
super(TokenValidator, 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@ohlc@stream@_token.py@.PATH_END.py |
{
"filename": "conftest.py",
"repo_name": "1313e/PRISM",
"repo_path": "PRISM_extracted/PRISM-master/conftest.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# %% IMPORTS
# Package imports
import matplotlib as mpl
from py.path import local
import _pytest
import pytest
# Set MPL backend
mpl.use('Agg')
# %% PYTEST CUSTOM CONFIGURATION PLUGINS
# This makes the pytest report header mention the tested PRISM version
def pytest_report_header(config):
... | 1313eREPO_NAMEPRISMPATH_START.@PRISM_extracted@PRISM-master@conftest.py@.PATH_END.py |
{
"filename": "_tick0.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/marker/colorbar/_tick0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self,
plotly_name="tick0",
parent_name="scatterternary.marker.colorbar",
**kwargs,
):
super(Tick0Validator, self).__init__(
plotly_name=plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@marker@colorbar@_tick0.py@.PATH_END.py |
{
"filename": "prolog.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/lexers/prolog.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.lexers.prolog
~~~~~~~~~~~~~~~~~~~~~~
Lexers for Prolog and Prolog-like languages.
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, bygroups
from pyg... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@lexers@prolog.py@.PATH_END.py |
{
"filename": "_valueminus.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/error_x/_valueminus.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueminusValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="valueminus", parent_name="histogram.error_x", **kwargs
):
super(ValueminusValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@error_x@_valueminus.py@.PATH_END.py |
{
"filename": "Hipparcos_IAD.ipynb",
"repo_name": "sblunt/orbitize",
"repo_path": "orbitize_extracted/orbitize-main/docs/tutorials/Hipparcos_IAD.ipynb",
"type": "Jupyter Notebook"
} | # Working with the Hipparcos Intermediate Astrometric Data (IAD)
Sarah Blunt (2021)
The Hipparcos IAD are notoriously annoying to work with, and several methods have been developed for incorporating them
into orbit-fits. In this tutorial, we'll take you through the method outlined in [Nielsen et al. (2020)](https://... | sbluntREPO_NAMEorbitizePATH_START.@orbitize_extracted@orbitize-main@docs@tutorials@Hipparcos_IAD.ipynb@.PATH_END.py |
{
"filename": "pyLIMA_example_4.py",
"repo_name": "ebachelet/pyLIMA",
"repo_path": "pyLIMA_extracted/pyLIMA-master/examples/pyLIMA_example_4.py",
"type": "Python"
} | '''
Welcome to pyLIMA (v2) tutorial 4!
In this tutorial you will learn how to code your own objective function to be
optimised, instead of using the standard pyLIMA routines. For example, you might want
to use SIMPLEX chi^2 minimization, instead of LM.
In scipy.optimize the SIMPLEX method is called 'Nelder-Mead'.
We w... | ebacheletREPO_NAMEpyLIMAPATH_START.@pyLIMA_extracted@pyLIMA-master@examples@pyLIMA_example_4.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolar/unselected/textfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="color",
parent_name="scatterpolar.unselected.textfont",
**kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plot... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolar@unselected@textfont@_color.py@.PATH_END.py |
{
"filename": "StarClustersGaiaDR3.ipynb",
"repo_name": "astro-datalab/notebooks-latest",
"repo_path": "notebooks-latest_extracted/notebooks-latest-master/03_ScienceExamples/GalacticStructure/StarClustersGaiaDR3.ipynb",
"type": "Jupyter Notebook"
} | ```python
__nbid__ = '0017'
__author__ = 'Leah Fulmer, Astro Data Lab Team <datalab@noirlab.edu>'
__version__ = '20240603' # yyyymmdd
__datasets__ = ['gaia_dr3']
__keywords__ = ['star clusters', 'stars', 'proper motions', 'parallax', 'plot:cmd', 'plot:quiver', 'plot:animation']
```
# Visualizing Star Clusters in Gaia ... | astro-datalabREPO_NAMEnotebooks-latestPATH_START.@notebooks-latest_extracted@notebooks-latest-master@03_ScienceExamples@GalacticStructure@StarClustersGaiaDR3.ipynb@.PATH_END.py |
{
"filename": "tinker13_components.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/empirical_models/occupation_models/tinker13_components.py",
"type": "Python"
} | """
This module contains occupation components used by the Tinker13 composite model.
"""
import numpy as np
import math
from scipy.special import erf
from astropy.utils.misc import NumpyRNGContext
from .occupation_model_template import OccupationComponent
from .. import model_defaults, model_helpers
from ..smhm_mode... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@empirical_models@occupation_models@tinker13_components.py@.PATH_END.py |
{
"filename": "test_e2e.py",
"repo_name": "maxpumperla/hyperas",
"repo_path": "hyperas_extracted/hyperas-master/tests/test_e2e.py",
"type": "Python"
} | from __future__ import print_function
from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.optimizers import RMSprop
from keras.datasets import mni... | maxpumperlaREPO_NAMEhyperasPATH_START.@hyperas_extracted@hyperas-master@tests@test_e2e.py@.PATH_END.py |
{
"filename": "installation.md",
"repo_name": "sterinaldi/figaro",
"repo_path": "figaro_extracted/figaro-main/docs/source/installation.md",
"type": "Markdown"
} | # Installation
You can install FIGARO either via pip (stable release, preferred)
```
pip install figaro
```
or from its source code (potentially unstable)
```
git clone git@github.com:sterinaldi/FIGARO.git
cd FIGARO
pip install .
```
## Dependencies
FIGARO has the following dependencies:
```
numpy > 1.22
scipy
ma... | sterinaldiREPO_NAMEfigaroPATH_START.@figaro_extracted@figaro-main@docs@source@installation.md@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/hoverlabel/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="style", parent_name="heatmap.hoverlabel.font", **kwargs
):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
parent_... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@heatmap@hoverlabel@font@_style.py@.PATH_END.py |
{
"filename": "BulkModulusPolicyInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/Strength/BulkModulusPolicyInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "Strength/BulkModulusPolicy.cc"
#include "Geometry/Dimension.hh"
namespace Spheral {
template class BulkModu... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@Strength@BulkModulusPolicyInst.cc.py@.PATH_END.py |
{
"filename": "gen_test_data.py",
"repo_name": "dust-busters/DBNets",
"repo_path": "DBNets_extracted/DBNets-main/test/gen_test_data.py",
"type": "Python"
} | import sys
from unittest import result
import keras
import numpy as np
import argparse
from matplotlib import testing
import matplotlib.pyplot as plt
from tqdm import tqdm
import pickle
import tensorflow as tf
# this makes the python files in ../training visible for import
sys.path.append("../training")
import models... | dust-bustersREPO_NAMEDBNetsPATH_START.@DBNets_extracted@DBNets-main@test@gen_test_data.py@.PATH_END.py |
{
"filename": "prospector.py",
"repo_name": "bd-j/prospector",
"repo_path": "prospector_extracted/prospector-main/scripts/prospector.py",
"type": "Python"
} | #!/usr/local/bin/python
import time, sys, os
import numpy as np
np.errstate(invalid='ignore')
from prospect.models import model_setup
from prospect.io import write_results
from prospect import fitting
from prospect.likelihood import lnlike_spec, lnlike_phot, write_log, chi_spec, chi_phot
# --------------
# Read com... | bd-jREPO_NAMEprospectorPATH_START.@prospector_extracted@prospector-main@scripts@prospector.py@.PATH_END.py |
{
"filename": "test_cpu_features.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/core/tests/test_cpu_features.py",
"type": "Python"
} | import sys, platform, re, pytest
from numpy.core._multiarray_umath import (
__cpu_features__,
__cpu_baseline__,
__cpu_dispatch__,
)
import numpy as np
import subprocess
import pathlib
import os
import re
def assert_features_equal(actual, desired, fname):
__tracebackhide__ = True # Hide traceback for p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@core@tests@test_cpu_features.py@.PATH_END.py |
{
"filename": "example_hubble_table.py",
"repo_name": "wullm/zwindstroom",
"repo_path": "zwindstroom_extracted/zwindstroom-main/example_hubble_table.py",
"type": "Python"
} | from zwindstroom import *
import numpy as np
# The neutrino species
M_nu = [0.06] # eV
deg_nu = [1.0] # degeneracies
N_nu = len(M_nu)
# Initialise a unit system (default uses Mpc lengths and km/s velocities)
unit_system, physical_consts = units.init_units()
# We want to integrate the cosmological tables starting at ... | wullmREPO_NAMEzwindstroomPATH_START.@zwindstroom_extracted@zwindstroom-main@example_hubble_table.py@.PATH_END.py |
{
"filename": "refine_prompts.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/chains/qa_with_sources/refine_prompts.py",
"type": "Python"
} | # flake8: noqa
from langchain_core.prompts import PromptTemplate
DEFAULT_REFINE_PROMPT_TMPL = (
"The original question is as follows: {question}\n"
"We have provided an existing answer, including sources: {existing_answer}\n"
"We have the opportunity to refine the existing answer"
"(only if needed) wit... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@chains@qa_with_sources@refine_prompts.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/core/src/npysort/x86-simd-sort/LICENSE.md",
"type": "Markdown"
} | BSD 3-Clause License
Copyright (c) 2022, Intel. 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 conditions and ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@core@src@npysort@x86-simd-sort@LICENSE.md@.PATH_END.py |
{
"filename": "test_baichuan.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/integration_tests/chat_models/test_baichuan.py",
"type": "Python"
} | from langchain_core.messages import AIMessage, HumanMessage
from langchain_community.chat_models.baichuan import ChatBaichuan
# For testing, run:
# TEST_FILE=tests/integration_tests/chat_models/test_baichuan.py make test
def test_chat_baichuan_default() -> None:
chat = ChatBaichuan(streaming=True) # type: igno... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@integration_tests@chat_models@test_baichuan.py@.PATH_END.py |
{
"filename": "ttv_basis_functions.py",
"repo_name": "shadden/TTV2Fast2Furious",
"repo_path": "TTV2Fast2Furious_extracted/TTV2Fast2Furious-master/ttv2fast2furious/ttv_basis_functions.py",
"type": "Python"
} | """Routines for computing the basis functions used in the TTV linear model."""
import numpy as np
from scipy.special import gammainc,gammaincinv
from scipy.special import ellipk,ellipkinc,ellipe,ellipeinc
import scipy.integrate as integrate
import os
from . import _clibttv2fast2furious
from ctypes import c_double
###... | shaddenREPO_NAMETTV2Fast2FuriousPATH_START.@TTV2Fast2Furious_extracted@TTV2Fast2Furious-master@ttv2fast2furious@ttv_basis_functions.py@.PATH_END.py |
{
"filename": "pointsource.py",
"repo_name": "icecube/toise",
"repo_path": "toise_extracted/toise-main/toise/pointsource.py",
"type": "Python"
} | import logging
from copy import copy
from functools import partial
from io import StringIO
import numpy as np
from scipy import interpolate, optimize, stats
from scipy.optimize import bisect
from .multillh import asimov_llh, get_expectations
from .util import *
def is_zenith_weight(zenith_weight, aeff):
zenith_... | icecubeREPO_NAMEtoisePATH_START.@toise_extracted@toise-main@toise@pointsource.py@.PATH_END.py |
{
"filename": "sir.py",
"repo_name": "sbi-dev/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/samplers/importance/sir.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
from typing import Any, Callable
import torch
from torch import Tensor
from tqdm.auto import tqdm
from sbi.samplers.importance.importance_sampling impor... | sbi-devREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@samplers@importance@sir.py@.PATH_END.py |
{
"filename": "picca_convert_transmission.py",
"repo_name": "igmhub/picca",
"repo_path": "picca_extracted/picca-master/bin/picca_convert_transmission.py",
"type": "Python"
} | #!/usr/bin/env python
import argparse
from picca import raw_io
if __name__ == '__main__':
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter,
description='Script to convert noiseless transmission files to delta picca files')
parser.add_argument('--object-cat... | igmhubREPO_NAMEpiccaPATH_START.@picca_extracted@picca-master@bin@picca_convert_transmission.py@.PATH_END.py |
{
"filename": "export.md",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/docs/export/export.md",
"type": "Markdown"
} | <!--* freshness: { owner: "necula" reviewed: "2024-06-26" } *-->
# Exporting and serializing staged-out computations
The {ref}`ahead-of-time-lowering` APIs produce
objects that can be used for debugging or for compilation and
execution in the same process.
Sometimes you want to serialize a lowered JAX function for
co... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@export@export.md@.PATH_END.py |
{
"filename": "specviz_jwebbinar24.ipynb",
"repo_name": "spacetelescope/jwebbinar_prep",
"repo_path": "jwebbinar_prep_extracted/jwebbinar_prep-main/jdaviz_2023/specviz_jwebbinar24.ipynb",
"type": "Jupyter Notebook"
} | ### The PI for this data is Klaus M. Pontoppidan and the Program ID is 02736.
# The section below shows what the notebook looks like when it is downloaded from MAST
# Jdaviz Notebook
This is an auto-generated Jupyter notebook to access the JWST file(s) **jw02736-o007_s09239_nirspec_f170lp-g235m_x1d.fits** using th... | spacetelescopeREPO_NAMEjwebbinar_prepPATH_START.@jwebbinar_prep_extracted@jwebbinar_prep-main@jdaviz_2023@specviz_jwebbinar24.ipynb@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/funnel/marker/colorbar/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="tickformat", parent_name="funnel.marker.colorbar", **kwargs
):
super(TickformatValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@funnel@marker@colorbar@_tickformat.py@.PATH_END.py |
{
"filename": "bh.py",
"repo_name": "AFD-Illinois/ebhlight",
"repo_path": "ebhlight_extracted/ebhlight-master/script/machine/bh.py",
"type": "Python"
} | ################################################################################
# #
# MACHINE-SPECIFIC FUNCTIONS #
# ... | AFD-IllinoisREPO_NAMEebhlightPATH_START.@ebhlight_extracted@ebhlight-master@script@machine@bh.py@.PATH_END.py |
{
"filename": "ModSum.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/ModSum.py",
"type": "Python"
} | #!/usr/bin/env python
# coding: utf-8
'''
Create a summary of the differences between various .pf files in a directory
Command line usage (if any):
usage: ModSum.py
Description:
This routine simply looks at all of the .pf files in
the current working directory and constructs a summary
of the ru... | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@ModSum.py@.PATH_END.py |
{
"filename": "Tateno_2019.py",
"repo_name": "geodynamics/burnman",
"repo_path": "burnman_extracted/burnman-main/burnman/calibrants/Tateno_2019.py",
"type": "Python"
} | # This file is part of BurnMan - a thermoelastic and thermodynamic toolkit for
# the Earth and Planetary Sciences
# Copyright (C) 2012 - 2024 by the BurnMan team, released under the GNU
# GPL v2 or later.
from burnman.eos.vinet import Vinet
from burnman.eos.mie_grueneisen_debye import MGDBase
from burnman.classes.cali... | geodynamicsREPO_NAMEburnmanPATH_START.@burnman_extracted@burnman-main@burnman@calibrants@Tateno_2019.py@.PATH_END.py |
{
"filename": "prepare_data.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/barry/data/desi_mock_challenge_post_recon_stage_2/prepare_data.py",
"type": "Python"
} | import pickle
import pandas as pd
import numpy as np
import os
def getxi(loc):
df = pd.read_csv(loc, comment="#", skiprows=0, delim_whitespace=True, names=["s", "xi0", "xi2", "xi4"], header=None)
mask = df["s"] <= 200.0
masked = df.loc[mask, ["s", "xi0", "xi2", "xi4"]]
return masked.astype(np.float32)... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@barry@data@desi_mock_challenge_post_recon_stage_2@prepare_data.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/io/matlab/tests/__init__.py",
"type": "Python"
} | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@io@matlab@tests@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/ares/inference/__init__.py",
"type": "Python"
} | from ares.inference.ModelFit import ModelFit
from ares.inference.ModelGrid import ModelGrid
from ares.inference.ModelSample import ModelSample
from ares.inference.FitGlobal21cm import FitGlobal21cm
#from ares.inference.ModelEmulator import ModelEmulator
from ares.inference.CalibrateModel import CalibrateModel
#from are... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@ares@inference@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "HajimeKawahara/sot",
"repo_path": "sot_extracted/sot-master/src/sot/sotplot/__init__.py",
"type": "Python"
} | __all__ = []
__version__ = "1.0"
__uri__ = ""
__author__ = "sot"
__email__ = ""
__license__ = ""
__description__ = ""
| HajimeKawaharaREPO_NAMEsotPATH_START.@sot_extracted@sot-master@src@sot@sotplot@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/tests/core/chat/__init__.py",
"type": "Python"
} | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@tests@core@chat@__init__.py@.PATH_END.py | |
{
"filename": "conf.py",
"repo_name": "sbussmann/uvmcmcfit",
"repo_path": "uvmcmcfit_extracted/uvmcmcfit-master/docs/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# uvmcmcfit documentation build configuration file, created by
# sphinx-quickstart on Mon Aug 4 21:49:10 2014.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
#... | sbussmannREPO_NAMEuvmcmcfitPATH_START.@uvmcmcfit_extracted@uvmcmcfit-master@docs@conf.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/special/tests/data/__init__.py",
"type": "Python"
} | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@special@tests@data@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Pygments
~~~~~~~~
Pygments is a syntax highlighting package written in Python.
It is a generic syntax highlighter for general use in all kinds of software
such as forum systems, wikis or other applications that need to prettify
source code. Highlights are:
* a ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@__init__.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sunburst/_marker.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="marker", parent_name="sunburst", **kwargs):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sunburst@_marker.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolar/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="scatterpolar", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolar@_stream.py@.PATH_END.py |
{
"filename": "_arrayminus.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/error_x/_arrayminus.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ArrayminusValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="arrayminus", parent_name="scatter3d.error_x", **kwargs
):
super(ArrayminusValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@error_x@_arrayminus.py@.PATH_END.py |
{
"filename": "_insidetextfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/waterfall/_insidetextfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Insidetextfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "waterfall"
_path_str = "waterfall.insidetextfont"
_valid_props = {"color", "colorsrc... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@waterfall@_insidetextfont.py@.PATH_END.py |
{
"filename": "splitSession.py",
"repo_name": "lwa-project/lsl",
"repo_path": "lsl_extracted/lsl-main/scripts/splitSession.py",
"type": "Python"
} | #!/usr/bin/env python3
"""
Script for splitting a DRX file based on the information contained in a MCS
metadata tarball.
"""
import os
import sys
import time
import argparse
from datetime import datetime, timedelta
from lsl.common.mcs import mjdmpm_to_datetime
from lsl.common import metabundle
from lsl.reader import... | lwa-projectREPO_NAMElslPATH_START.@lsl_extracted@lsl-main@scripts@splitSession.py@.PATH_END.py |
{
"filename": "_hovertemplate.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/barpolar/_hovertemplate.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="barpolar", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@barpolar@_hovertemplate.py@.PATH_END.py |
{
"filename": "inference.py",
"repo_name": "jroulet/cogwheel",
"repo_path": "cogwheel_extracted/cogwheel-main/cogwheel/validation/inference.py",
"type": "Python"
} | """
Functions to perform injections in reproducible Gaussian noise and do
parameter estimation on them.
This code assumes that injection samples were already generated using
the ``generate_injections.py`` module.
This module can run as a script and it also provides a function
``submit_slurm`` to submit the equivalent... | jrouletREPO_NAMEcogwheelPATH_START.@cogwheel_extracted@cogwheel-main@cogwheel@validation@inference.py@.PATH_END.py |
{
"filename": "factor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/lexers/factor.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.lexers.factor
~~~~~~~~~~~~~~~~~~~~~~
Lexers for the Factor language.
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, bygroups, default, words
from ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@lexers@factor.py@.PATH_END.py |
{
"filename": "mathematics.py",
"repo_name": "minzastro/unidam",
"repo_path": "unidam_extracted/unidam-master/unidam/utils/mathematics.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Mon Oct 12 13:50:56 2015
@author: mints
"""
import numpy as np
INV_SQRT2 = 1./np.sqrt(2.)
INV_SQRT2Pi = 1./np.sqrt(2.*np.pi)
MAD_COEFF = 1.4836
def kl_divergence(x, func, par, y):
"""
Symmetric Kullback-Leibler divergence value.
"""
values = func(x, *par)
ma... | minzastroREPO_NAMEunidamPATH_START.@unidam_extracted@unidam-master@unidam@utils@mathematics.py@.PATH_END.py |
{
"filename": "_hoverinfo.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymap/_hoverinfo.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoverinfo", parent_name="densitymap", **kwargs):
super(HoverinfoValidator, 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@densitymap@_hoverinfo.py@.PATH_END.py |
{
"filename": "multivoigt.py",
"repo_name": "pyspeckit/pyspeckit",
"repo_path": "pyspeckit_extracted/pyspeckit-master/examples/multivoigt.py",
"type": "Python"
} | import pyspeckit
import numpy as np
from pyspeckit.spectrum.models import inherited_voigtfitter
# technically, the voigt fitter works as a singlefitter (i.e., you can fit the
# background level and the peak simultaneously)
# in practice, however, you need to fit the background independently except for
# gaussians. I... | pyspeckitREPO_NAMEpyspeckitPATH_START.@pyspeckit_extracted@pyspeckit-master@examples@multivoigt.py@.PATH_END.py |
{
"filename": "run_standardInjections.py",
"repo_name": "tcallister/learning-p-det",
"repo_path": "learning-p-det_extracted/learning-p-det-main/code/run_standardInjections.py",
"type": "Python"
} | import numpyro
nChains = 2
numpyro.set_host_device_count(nChains)
numpyro.set_platform(platform='gpu')
from numpyro.infer import NUTS,MCMC
from jax.config import config
config.update("jax_enable_x64", True)
from jax import random
import jax.numpy as jnp
import arviz as az
from population_model import baseline
from getD... | tcallisterREPO_NAMElearning-p-detPATH_START.@learning-p-det_extracted@learning-p-det-main@code@run_standardInjections.py@.PATH_END.py |
{
"filename": "sexcatalog.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/util/sexcatalog.py",
"type": "Python"
} | # ======================================================================
#
# Cosmograil: cosmograil.tools.sexcatalog
#
# sexcatalog module.
#
# Author: Laurent Le Guillou <laurentl@ster.kuleuven.ac.be>
#
# $Id: sexcatalog.py,v 1.1 2005/06/29 13:07:41 hack Exp $
#
# ======================================================... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@util@sexcatalog.py@.PATH_END.py |
{
"filename": "fastchem.py",
"repo_name": "exoclime/FastChem",
"repo_path": "FastChem_extracted/FastChem-master/python/fastchem.py",
"type": "Python"
} |
import pyfastchem
from save_output import saveChemistryOutput, saveMonitorOutput, saveChemistryOutputPandas, saveMonitorOutputPandas
import numpy as np
import os
import matplotlib.pyplot as plt
from astropy import constants as const
#some input values for temperature (in K) and pressure (in bar)
temperature = np.ful... | exoclimeREPO_NAMEFastChemPATH_START.@FastChem_extracted@FastChem-master@python@fastchem.py@.PATH_END.py |
{
"filename": "prizmo_dust_opacity.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/prizmo_dust_opacity.py",
"type": "Python"
} | import os.path
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm
from prizmo_commons import amin, amax, pslope, clight, hplanck, rho_bulk, erg2ev, print_title, fuv_energy1, fuv_energy2, plotOn, refInd_file
from prizmo_preprocess import preprocess
from bhmie import bhmie_qabs
from scipy.interpolat... | tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@prizmo_dust_opacity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/title/pad/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._t import TValidator
from ._r import RValidator
from ._l import LValidator
from ._b import BValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@title@pad@__init__.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/uncertainty/core.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Distribution class and associated machinery.
"""
import builtins
import numpy as np
from astropy import stats
from astropy import units as u
from astropy.utils.compat.numpycompat import NUMPY_LT_2_0
if NUMPY_LT_2_0:
from numpy.core.multiarray ... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@uncertainty@core.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/marker/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="icicle.marker.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@icicle@marker@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "flickr.py",
"repo_name": "pyspeckit/pyspeckit",
"repo_path": "pyspeckit_extracted/pyspeckit-master/docs/sphinxext/flickr.py",
"type": "Python"
} | from docutils import nodes
from docutils.parsers.rst import directives
CODE = """\
<object width="%(width)i" height="%(height)i">
<param name="flashvars" value="offsite=true&lang=en-us&page_show_url=%2Fphotos%2F75341362%40N04%2Fsets%2F72157629059614751%2Fshow%2F&page_show_back_url=%2Fphotos%2F75341362%40N04%2Fsets%2... | pyspeckitREPO_NAMEpyspeckitPATH_START.@pyspeckit_extracted@pyspeckit-master@docs@sphinxext@flickr.py@.PATH_END.py |
{
"filename": "nuts.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/pyro/infer/mcmc/nuts.py",
"type": "Python"
} | # Copyright (c) 2017-2019 Uber Technologies, Inc.
# SPDX-License-Identifier: Apache-2.0
from collections import namedtuple
import pyro
import pyro.distributions as dist
from pyro.distributions.util import scalar_like
from pyro.infer.autoguide import init_to_uniform
from pyro.infer.mcmc.hmc import HMC
from pyro.ops.in... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@pyro@infer@mcmc@nuts.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/sankey/node/hoverlabel/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="sankey.node.hoverlabel.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@sankey@node@hoverlabel@font@_color.py@.PATH_END.py |
{
"filename": "test_model_stdout.py",
"repo_name": "simonsobs/nextline-rdb",
"repo_path": "nextline-rdb_extracted/nextline-rdb-main/src/nextline_rdb/alembic/models/rev_f9a742bb2297/tests/test_model_stdout.py",
"type": "Python"
} | import datetime
from hypothesis import given
from hypothesis import strategies as st
from sqlalchemy import select
from sqlalchemy.orm import selectinload
from nextline_rdb.db import DB
from .. import Model, Stdout
from ..strategies import st_model_stdout
@given(st.data())
async def test_repr(data: st.DataObject) ... | simonsobsREPO_NAMEnextline-rdbPATH_START.@nextline-rdb_extracted@nextline-rdb-main@src@nextline_rdb@alembic@models@rev_f9a742bb2297@tests@test_model_stdout.py@.PATH_END.py |
{
"filename": "PlotContours_all_fixedmass.py",
"repo_name": "bradkav/EarthScatterLikelihood",
"repo_path": "EarthScatterLikelihood_extracted/EarthScatterLikelihood-master/plotting/PlotContours_all_fixedmass.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import matplotlib.colors as colors
from scipy.integrate import cumtrapz, quad
from scipy.interpolate import interp1d
from scipy.stats import chi2
import PlottingTools as PT
import argparse
import os
#---------------
# MATPLOTLIB settings
m... | bradkavREPO_NAMEEarthScatterLikelihoodPATH_START.@EarthScatterLikelihood_extracted@EarthScatterLikelihood-master@plotting@PlotContours_all_fixedmass.py@.PATH_END.py |
{
"filename": "python_script.ipynb",
"repo_name": "sterinaldi/figaro",
"repo_path": "figaro_extracted/figaro-main/docs/source/python_script.ipynb",
"type": "Jupyter Notebook"
} | # FIGARO in a python script
This notebook shows how to include FIGARO in a `python` script. If you are a casual user or you are simply interested in performing a DPGMM/(H)DPGMM reconstruction, you may want to make use of the turnkey command-line scripts already provided with FIGARO (`figaro-density` and `figaro-hierar... | sterinaldiREPO_NAMEfigaroPATH_START.@figaro_extracted@figaro-main@docs@source@python_script.ipynb@.PATH_END.py |
{
"filename": "_tickformatstops.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/colorbar/_tickformatstops.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatstopsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="tickformatstops", parent_name="surface.colorbar", **kwargs
):
super(TickformatstopsValidator, self).__init__(
plotly_name=plotly... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@surface@colorbar@_tickformatstops.py@.PATH_END.py |
{
"filename": "test_cycles.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/lib/matplotlib/tests/test_cycles.py",
"type": "Python"
} | import contextlib
from io import StringIO
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pytest
from cycler import cycler
def test_colorcycle_basic():
fig, ax = plt.subplots()
ax.set_prop_cycle(cycler('color', ['r', 'g', 'y']))
for _ in range(4):
ax.plot(range... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@lib@matplotlib@tests@test_cycles.py@.PATH_END.py |
{
"filename": "old_horizontalAzEl2stnAzEl.py",
"repo_name": "creaneroDIAS/beamModelTester",
"repo_path": "beamModelTester_extracted/beamModelTester-master/WIP/old_horizontalAzEl2stnAzEl.py",
"type": "Python"
} | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Wed May 30 14:47:12 2018
@author: creanero
"""
#!/usr/bin/env python
"""Script to convert horizontal Azimuth Elevation to station Azimuth Elevation.
example usage:
$ horizontalAzEl2stnAzEl.py SE607 0.,80.
(outputs:)
Horizontal coord. AZ, EL: 0.0deg, 80.000... | creaneroDIASREPO_NAMEbeamModelTesterPATH_START.@beamModelTester_extracted@beamModelTester-master@WIP@old_horizontalAzEl2stnAzEl.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattercarpet/textfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="scattercarpet.textfont", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattercarpet@textfont@_variant.py@.PATH_END.py |
{
"filename": "test_gi_minus_projected.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/ia_correlations/tests/test_gi_minus_projected.py",
"type": "Python"
} | """
Module providing unit-testing for the `~halotools.mock_observables.alignments.w_gplus` function.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import warnings
import pytest
from astropy.utils.misc import NumpyRNGContext
from ..gi_minus_projected import ... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@ia_correlations@tests@test_gi_minus_projected.py@.PATH_END.py |
{
"filename": "edge.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/redis/py3/redis/commands/graph/edge.py",
"type": "Python"
} | from ..helpers import quote_string
from .node import Node
class Edge:
"""
An edge connecting two nodes.
"""
def __init__(self, src_node, relation, dest_node, edge_id=None, properties=None):
"""
Create a new edge.
"""
if src_node is None or dest_node is None:
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@redis@py3@redis@commands@graph@edge.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Fermipy/fermipy",
"repo_path": "fermipy_extracted/fermipy-master/fermipy/diffuse/tests/__init__.py",
"type": "Python"
} | FermipyREPO_NAMEfermipyPATH_START.@fermipy_extracted@fermipy-master@fermipy@diffuse@tests@__init__.py@.PATH_END.py | |
{
"filename": "makeplot.py",
"repo_name": "VirtualPlanetaryLaboratory/vplanet",
"repo_path": "vplanet_extracted/vplanet-main/examples/ParameterSweep/makeplot.py",
"type": "Python"
} | #!/usr/bin/env python
import pathlib
import subprocess
import sys
import bigplanet as bp
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import vplot as vpl
import vplanet
# Path hacks
path = pathlib.Path(__file__).parents[0].absolute()
sys.path.insert(1, str(path.parents[0]))
from get_ar... | VirtualPlanetaryLaboratoryREPO_NAMEvplanetPATH_START.@vplanet_extracted@vplanet-main@examples@ParameterSweep@makeplot.py@.PATH_END.py |
{
"filename": "EXAMPLE_main_Roman_CGI_any.py",
"repo_name": "ajeldorado/falco-python",
"repo_path": "falco-python_extracted/falco-python-master/roman/EXAMPLE_main_Roman_CGI_any.py",
"type": "Python"
} | """
Script to run high-order WFSC with any of the Roman CGI's mask configurations.
Requires the Roman CGI Phase C model and data from
https://sourceforge.net/projects/cgisim/
"""
import numpy as np
import os
import copy
import matplotlib.pyplot as plt
import falco
import falco.proper as proper
# %% Uncomment the con... | ajeldoradoREPO_NAMEfalco-pythonPATH_START.@falco-python_extracted@falco-python-master@roman@EXAMPLE_main_Roman_CGI_any.py@.PATH_END.py |
{
"filename": "rank_decider.py",
"repo_name": "CU-NESS/pylinex",
"repo_path": "pylinex_extracted/pylinex-master/examples/nonlinear/rank_decider.py",
"type": "Python"
} | """
File: examples/nonlinear/rank_decider.py
Author: Keith Tauscher
Date: 24 Apr 2019
Description: Example script showing how to use the RankDecider class, which
decides how many terms to use in a multi-component data fit.
"""
import numpy as np
from distpy import Expression
from pylinex import Polynomial... | CU-NESSREPO_NAMEpylinexPATH_START.@pylinex_extracted@pylinex-master@examples@nonlinear@rank_decider.py@.PATH_END.py |
{
"filename": "resnet.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/torchvision/models/resnet.py",
"type": "Python"
} | from functools import partial
from typing import Any, Callable, List, Optional, Type, Union
import torch
import torch.nn as nn
from torch import Tensor
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model, Weights, WeightsEnum
from ._meta impor... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@torchvision@models@resnet.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/ai21/README.md",
"type": "Markdown"
} | This package has moved!
https://github.com/langchain-ai/langchain-ai21/tree/main/libs/ai21 | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@ai21@README.md@.PATH_END.py |
{
"filename": "sloppy_run.py",
"repo_name": "LucaMalavolta/SLOPpy",
"repo_path": "SLOPpy_extracted/SLOPpy-main/SLOPpy/sloppy_run.py",
"type": "Python"
} | import SLOPpy
import argparse
import os
import sys
import collections
def sloppy_run(file_conf=None ):
print()
print('SLOPpy v{0}'.format(SLOPpy.__version__))
print()
print('Python version in use:')
print(sys.version)
#if sys.version_info[0] == 3 and sys.version_info[1] > 7:
# print('WA... | LucaMalavoltaREPO_NAMESLOPpyPATH_START.@SLOPpy_extracted@SLOPpy-main@SLOPpy@sloppy_run.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergl/unselected/marker/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="scattergl.unselected.marker", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergl@unselected@marker@_color.py@.PATH_END.py |
{
"filename": "CandCheck.py",
"repo_name": "qianlivan/RPPPS",
"repo_path": "RPPPS_extracted/RPPPS-master/CandCheck.py",
"type": "Python"
} | #Candidates checking, pzc, 20150619
import os,sys, getopt
#1, checking if knownPSR.dat exists
filename=r'./knownPSR.dat'
if os.path.exists(filename):
#for debug: print 'The knownPSR.dat exists.'
database = 1
else:
#print 'The known pulsar list file knownPSR.dat does not exist, try to create it.'
database = 0
... | qianlivanREPO_NAMERPPPSPATH_START.@RPPPS_extracted@RPPPS-master@CandCheck.py@.PATH_END.py |
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