metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "CheckAstroPhoto.py",
"repo_name": "LSSTDESC/descqa",
"repo_path": "descqa_extracted/descqa-master/descqa/CheckAstroPhoto.py",
"type": "Python"
} | from __future__ import print_function, division
import os
import numpy as np
from scipy.stats import binned_statistic
from CatalogMatcher.match import spatial_closest # https://github.com/LSSTDESC/CatalogMatcher
from GCR import GCRQuery
from .base import BaseValidationTest, TestResult
from .plotting import plt
from ma... | LSSTDESCREPO_NAMEdescqaPATH_START.@descqa_extracted@descqa-master@descqa@CheckAstroPhoto.py@.PATH_END.py |
{
"filename": "_xpad.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/marker/colorbar/_xpad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="xpad", parent_name="scatter.marker.colorbar", **kwargs
):
super(XpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@marker@colorbar@_xpad.py@.PATH_END.py |
{
"filename": "_text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/colorbar/title/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="text", parent_name="choropleth.colorbar.title", **kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@colorbar@title@_text.py@.PATH_END.py |
{
"filename": "metadata.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/filters/metadata.py",
"type": "Python"
} | """
Metadata for all filters.
"""
# Author: Prabhu Ramachandran <prabhu@aero.iitb.ac.in>
# Copyright (c) 2008, Prabhu Ramachandran Enthought, Inc.
# License: BSD Style.
# Local imports.
from mayavi.core.metadata import FilterMetadata
from mayavi.core.pipeline_info import PipelineInfo
BASE = 'mayavi.filters'
########... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@filters@metadata.py@.PATH_END.py |
{
"filename": "multipack.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/monkeypatch/multipack.py",
"type": "Python"
} | """multipack patching for v2 of sample packing"""
import importlib
import transformers
from accelerate import init_empty_weights
from transformers import AutoConfig, AutoModelForCausalLM
from transformers.integrations import is_deepspeed_zero3_enabled
from axolotl.monkeypatch.mixtral import patch_mixtral_moe_forward... | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@monkeypatch@multipack.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ivkram/specvizitor",
"repo_path": "specvizitor_extracted/specvizitor-main/specvizitor/config/appearance/qdarktheme/qtpy/QtWidgets/__init__.py",
"type": "Python"
} | """Module for QtWidgets."""
from __future__ import annotations
from collections.abc import Sequence
from ...qtpy.qt_compat import QT_API
if QT_API == "PySide6":
from PySide6.QtWidgets import * # type: ignore # noqa: F403
elif QT_API == "PyQt6":
from PyQt6.QtWidgets import * # type: ignore # noqa: F403
el... | ivkramREPO_NAMEspecvizitorPATH_START.@specvizitor_extracted@specvizitor-main@specvizitor@config@appearance@qdarktheme@qtpy@QtWidgets@__init__.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "tuoyl/tat-pulsar",
"repo_path": "tat-pulsar_extracted/tat-pulsar-master/setup.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pipenv install twine --dev
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command, Extension
from distutils.core import setup
from distutils.ext... | tuoylREPO_NAMEtat-pulsarPATH_START.@tat-pulsar_extracted@tat-pulsar-master@setup.py@.PATH_END.py |
{
"filename": "_shadowsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/textfont/_shadowsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="shadowsrc", parent_name="bar.textfont", **kwargs):
super(ShadowsrcValidator, 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@bar@textfont@_shadowsrc.py@.PATH_END.py |
{
"filename": "_colorbar.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/cone/_colorbar.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class ColorBar(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "cone"
_path_str = "cone.colorbar"
_valid_props = {
"bgcolor",
"bordercolor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@cone@_colorbar.py@.PATH_END.py |
{
"filename": "amp.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/detector/amp.py",
"type": "Python"
} | import numpy as np
from NuRadioReco.utilities import units
from scipy import interpolate as intp
from matplotlib import pyplot as plt
import os
def get_amp_response(frequencies, amp_name):
"""
Get measured amplifier responses.
Very simple script for currently NTU amps.
"""
# parse input file and ... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@detector@amp.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/discrete/__init__.py",
"type": "Python"
} | from statsmodels.tools._test_runner import PytestTester
test = PytestTester()
| statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@discrete@__init__.py@.PATH_END.py |
{
"filename": "make_metrics_plots.py",
"repo_name": "COINtoolbox/ActSNClass",
"repo_path": "ActSNClass_extracted/ActSNClass-master/actsnclass/scripts/make_metrics_plots.py",
"type": "Python"
} | # Copyright 2019 snactclass software
# Author: Emille E. O. Ishida
# Based on initial prototype developed by the CRP #4 team
#
# created on 10 August 2019
#
# Licensed GNU General Public License v3.0;
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | COINtoolboxREPO_NAMEActSNClassPATH_START.@ActSNClass_extracted@ActSNClass-master@actsnclass@scripts@make_metrics_plots.py@.PATH_END.py |
{
"filename": "test_alpha_perp.py",
"repo_name": "nickhand/pyRSD",
"repo_path": "pyRSD_extracted/pyRSD-master/pyRSD/tests/test_gal_derivatives/test_alpha_perp.py",
"type": "Python"
} | from . import numdifftools, numpy as np
import pytest
from pyRSD.rsd.power.gradient import compute
from pyRSD.rsd.power.gal.derivatives import PgalDerivative
import numpy as np
NMU = 41
@pytest.mark.parametrize("socorr", [True, False])
def test_total(driver, socorr):
# set the socorr
driver.theory.model.use_... | nickhandREPO_NAMEpyRSDPATH_START.@pyRSD_extracted@pyRSD-master@pyRSD@tests@test_gal_derivatives@test_alpha_perp.py@.PATH_END.py |
{
"filename": "log.py",
"repo_name": "radis/radis",
"repo_path": "radis_extracted/radis-master/radis/misc/log.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
@author: Erwan
Logging and warning functions
"""
import sys
from time import gmtime, strftime
from warnings import warn
from termcolor import colored
def printlog(msg, logfile="log.txt", stdout=True):
"""Write a message to the logfile, adding date and time.
Also print it to sc... | radisREPO_NAMEradisPATH_START.@radis_extracted@radis-master@radis@misc@log.py@.PATH_END.py |
{
"filename": "hand-keypoints.md",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/docs/en/datasets/pose/hand-keypoints.md",
"type": "Markdown"
} | ---
comments: true
description: Explore the hand keypoints estimation dataset for advanced pose estimation. Learn about datasets, pretrained models, metrics, and applications for training with YOLO.
keywords: Hand KeyPoints, pose estimation, dataset, keypoints, MediaPipe, YOLO, deep learning, computer vision
---
# Han... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@docs@en@datasets@pose@hand-keypoints.md@.PATH_END.py |
{
"filename": "trackable.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/tensorflow/trackable.py",
"type": "Python"
} | import tensorflow as tf
from keras.src.utils import tracking
class KerasAutoTrackable(tf.__internal__.tracking.AutoTrackable):
"""Manages dependencies on other objects with Keras tracking.
Similar to TF AutoTrackable, but disabling tracking is based
on tracking within Keras.
This serves as an inter... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@tensorflow@trackable.py@.PATH_END.py |
{
"filename": "_chandrupatla.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/optimize/_chandrupatla.py",
"type": "Python"
} | import math
import numpy as np
import scipy._lib._elementwise_iterative_method as eim
from scipy._lib._util import _RichResult
from scipy._lib._array_api import xp_sign, xp_copy, xp_take_along_axis
# TODO:
# - (maybe?) don't use fancy indexing assignment
# - figure out how to replace the new `try`/`except`s
def _cha... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@optimize@_chandrupatla.py@.PATH_END.py |
{
"filename": "minimal_example.ipynb",
"repo_name": "kemasuda/jnkepler",
"repo_path": "jnkepler_extracted/jnkepler-main/examples/minimal_example.ipynb",
"type": "Jupyter Notebook"
} | ## minimal TTV example
```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from jax import config
config.update('jax_enable_x64', True)
```
```python
from jnkepler.jaxttv import JaxTTV
```
### 1. initialize JaxTTV class
```python
# test data
d = pd.read_csv("kep51/ttv.txt", sep="\s+"... | kemasudaREPO_NAMEjnkeplerPATH_START.@jnkepler_extracted@jnkepler-main@examples@minimal_example.ipynb@.PATH_END.py |
{
"filename": "smooth_cal_inspect_2458116.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/smooth_cal_inspect/smooth_cal_inspect_2458116.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Calibration Smoothing Nightly Notebook
**Josh Dillon**, Last Revised 12/4/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal, abscal, utils
from hera_cal.smooth_cal import build_time_blacklist
from hera_qm.metrics_io import load_metr... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@smooth_cal_inspect@smooth_cal_inspect_2458116.ipynb@.PATH_END.py |
{
"filename": "rrule.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/python-dateutil/py2/dateutil/rrule.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
The rrule module offers a small, complete, and very fast, implementation of
the recurrence rules documented in the
`iCalendar RFC <https://tools.ietf.org/html/rfc5545>`_,
including support for caching of results.
"""
import calendar
import datetime
import heapq
import itertools
import re
imp... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@python-dateutil@py2@dateutil@rrule.py@.PATH_END.py |
{
"filename": "get_git_rev_info.py",
"repo_name": "spacetelescope/drizzlepac",
"repo_path": "drizzlepac_extracted/drizzlepac-main/drizzlepac/haputils/get_git_rev_info.py",
"type": "Python"
} | #!/bin/env python
"""
Displays revision information on the specified git-controlled repository
Path
----
hlapipeline/hlapipeline/utils/get_git_rev_info.py
Dependencies
------------
None.
Inputs
------
* Required input
1: *code_path*
* Path to query for git revision information.
Example
-------
Get git r... | spacetelescopeREPO_NAMEdrizzlepacPATH_START.@drizzlepac_extracted@drizzlepac-main@drizzlepac@haputils@get_git_rev_info.py@.PATH_END.py |
{
"filename": "11620_rval_050010.py",
"repo_name": "shreeyesh-biswal/Rvalue_3D",
"repo_path": "Rvalue_3D_extracted/Rvalue_3D-main/Codes/M-class/AR_11620/11620_rval_050010.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 14 15:24:47 2024
@author: shreeyeshbiswal
"""
import os
import numpy as np
import matplotlib as mpl
from matplotlib import pyplot as plt
from matplotlib.pyplot import figure
AR = "11620"
core_dir = "/home/shreeyeshbiswal/IDLWorkspace/Dataset_PF/"
... | shreeyesh-biswalREPO_NAMERvalue_3DPATH_START.@Rvalue_3D_extracted@Rvalue_3D-main@Codes@M-class@AR_11620@11620_rval_050010.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/splom/marker/_colorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorscaleValidator(_plotly_utils.basevalidators.ColorscaleValidator):
def __init__(self, plotly_name="colorscale", parent_name="splom.marker", **kwargs):
super(ColorscaleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@splom@marker@_colorscale.py@.PATH_END.py |
{
"filename": "NodeListInst.cc.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/NodeList/NodeListInst.cc.py",
"type": "Python"
} | text = """
//------------------------------------------------------------------------------
// Explicit instantiation.
//------------------------------------------------------------------------------
#include "NodeList/NodeList.cc"
namespace Spheral {
template class NodeList< Dim< %(ndim)s > >;
}
"""
| LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@NodeList@NodeListInst.cc.py@.PATH_END.py |
{
"filename": "pgembedding.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/vectorstores/pgembedding.py",
"type": "Python"
} | from __future__ import annotations
import logging
import uuid
from typing import Any, Dict, Iterable, List, Optional, Tuple, Type
import sqlalchemy
from sqlalchemy import func
from sqlalchemy.dialects.postgresql import JSON, UUID
from sqlalchemy.orm import Session, relationship
try:
from sqlalchemy.orm import de... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@vectorstores@pgembedding.py@.PATH_END.py |
{
"filename": "Parameter_sweep.ipynb",
"repo_name": "Nicholaswogan/PhotochemPy",
"repo_path": "PhotochemPy_extracted/PhotochemPy-main/examples/Parallel_parameter_sweep/Parameter_sweep.ipynb",
"type": "Jupyter Notebook"
} | # Sweeping a parameter space (in development)
Often the researcher will want to run many photochemical models, for different parameter sets. For example, they might want to determine the surface flux of CH4, as they vary a fixed surface CH4 mixing ratio.
This can be challenging because of convergence issues.
Any ph... | NicholaswoganREPO_NAMEPhotochemPyPATH_START.@PhotochemPy_extracted@PhotochemPy-main@examples@Parallel_parameter_sweep@Parameter_sweep.ipynb@.PATH_END.py |
{
"filename": "test_geminga_paper.py",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/hawc_hal/tests/test_geminga_paper.py",
"type": "Python"
} | from __future__ import print_function
from hawc_hal import HAL, HealpixConeROI
import pytest
try:
import ROOT
ROOT.PyConfig.IgnoreCommandLineOptions = True
except:
pass
from threeML import *
import argparse
from collections import namedtuple
import numpy as np
def test_geminga_paper(geminga_maptree, gemi... | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@hawc_hal@tests@test_geminga_paper.py@.PATH_END.py |
{
"filename": "nres_comm.py",
"repo_name": "LCOGT/nres-pipe",
"repo_path": "nres-pipe_extracted/nres-pipe-master/pycode/nres_comm.py",
"type": "Python"
} | '''
This is the python version of the nres_comm common block that is used
by the main routine muncha and its subroutines.
Normally used as
import nres_comm as nr
All of its contents are then accessed as nr.whatever.
Defaults are set here, but all contents are expected to be reset at some
point as the code runs.
Comment... | LCOGTREPO_NAMEnres-pipePATH_START.@nres-pipe_extracted@nres-pipe-master@pycode@nres_comm.py@.PATH_END.py |
{
"filename": "helper.py",
"repo_name": "ma-xu/pointMLP-pytorch",
"repo_path": "pointMLP-pytorch_extracted/pointMLP-pytorch-main/classification_ModelNet40/helper.py",
"type": "Python"
} | import torch
import torch.nn.functional as F
def cal_loss(pred, gold, smoothing=True):
''' Calculate cross entropy loss, apply label smoothing if needed. '''
gold = gold.contiguous().view(-1)
if smoothing:
eps = 0.2
n_class = pred.size(1)
one_hot = torch.zeros_like(pred).scatter(... | ma-xuREPO_NAMEpointMLP-pytorchPATH_START.@pointMLP-pytorch_extracted@pointMLP-pytorch-main@classification_ModelNet40@helper.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/xml/etree/__init__.py",
"type": "Python"
} | # $Id: __init__.py 3375 2008-02-13 08:05:08Z fredrik $
# elementtree package
# --------------------------------------------------------------------
# The ElementTree toolkit is
#
# Copyright (c) 1999-2008 by Fredrik Lundh
#
# By obtaining, using, and/or copying this software and/or its
# associated documentation, you ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@xml@etree@__init__.py@.PATH_END.py |
{
"filename": "trirefine.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/matplotlib/py2/matplotlib/tri/trirefine.py",
"type": "Python"
} | """
Mesh refinement for triangular grids.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import numpy as np
from matplotlib.tri.triangulation import Triangulation
import matplotlib.tri.triinterpolate
class TriRefiner(object):
"""
A... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@matplotlib@py2@matplotlib@tri@trirefine.py@.PATH_END.py |
{
"filename": "parsing_config.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/parsing_config.py",
"type": "Python"
} | # Copyright 2019 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@ops@parsing_config.py@.PATH_END.py |
{
"filename": "recipes_ECHELLE_SPECT.py",
"repo_name": "GeminiDRSoftware/MAROONXDR",
"repo_path": "MAROONXDR_extracted/MAROONXDR-main/maroonxdr/maroonx/recipes/sq/recipes_ECHELLE_SPECT.py",
"type": "Python"
} | """
Recipes available to data with tags ['MAROONX', 'ECHELLE', 'SPECT']
Default is "reduce".
"""
recipe_tags = set(['MAROONX', 'ECHELLE', 'SPECT'])
def reduce(p):
"""
This recipe processes MAROON-X science echelle spectrum, (1) it traces
and identifies the fibers and orders in a 2D processed flat and
... | GeminiDRSoftwareREPO_NAMEMAROONXDRPATH_START.@MAROONXDR_extracted@MAROONXDR-main@maroonxdr@maroonx@recipes@sq@recipes_ECHELLE_SPECT.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "exo-cesm/CESM2.1.3",
"repo_path": "CESM2.1.3_extracted/CESM2.1.3-main/Tidally_locked_exoplanets/README.md",
"type": "Markdown"
} | # Tidally locked case descriptions
Tidally locked exoplanets are exoplanets that synchronously rotate around their host star, meaning their orbital period is the same as their rotational period. This is expected to happen to potentially habiatble exoplanets around M dwarf stars and some K dwarf stars. These exoplanets... | exo-cesmREPO_NAMECESM2.1.3PATH_START.@CESM2.1.3_extracted@CESM2.1.3-main@Tidally_locked_exoplanets@README.md@.PATH_END.py |
{
"filename": "data_inspect_2458103.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/data_inspect/data_inspect_2458103.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import matplotlib.patches as mpatches
import matplotlib.gridspec as gridspec
import numpy as np
from pyuvdata import UVCal, UVData
import os
import sys
import glob
import uvtools as uvt
from astropy.time import ... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@data_inspect@data_inspect_2458103.ipynb@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "OfAaron3/irispreppy",
"repo_path": "irispreppy_extracted/irispreppy-main/README.md",
"type": "Markdown"
} | # irispreppy
For radiometrically calibrating and PSF deconvolving IRIS data.
To install run `pip install irispreppy`.
I dislike how I need to own proprietary software (IDL) just to simply prepare my data. I use Python for my analysis, why can't I radiometrically calibrate and deconvolve with it?
This has been a passi... | OfAaron3REPO_NAMEirispreppyPATH_START.@irispreppy_extracted@irispreppy-main@README.md@.PATH_END.py |
{
"filename": "_autobiny.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/_autobiny.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutobinyValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="autobiny", parent_name="histogram2d", **kwargs):
super(AutobinyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@_autobiny.py@.PATH_END.py |
{
"filename": "C01_case_study_imt_spurious_generic.ipynb",
"repo_name": "bwinkel/pycraf",
"repo_path": "pycraf_extracted/pycraf-master/notebooks/C01_case_study_imt_spurious_generic.ipynb",
"type": "Jupyter Notebook"
} | # Case study: IMT spurious emission and RAS (generic single-interferer worst-case)
## License
```
HOWTO: Calculate level of interference in radio-astronomical
observations produced from a single IMT device in spurious domain.
Copyright (C) 2015+ Benjamin Winkel (bwinkel@mpifr.de)
This program is free software; you ... | bwinkelREPO_NAMEpycrafPATH_START.@pycraf_extracted@pycraf-master@notebooks@C01_case_study_imt_spurious_generic.ipynb@.PATH_END.py |
{
"filename": "test_base_profile.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_LensModel/test_Profiles/test_base_profile.py",
"type": "Python"
} | from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase
import unittest
class TestBaseProfile(object):
def setup_method(self):
pass
def test_base_functions(self):
base = LensProfileBase()
base.set_static()
base.set_dynamic()
class TestRaise(unittest.TestCase)... | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_LensModel@test_Profiles@test_base_profile.py@.PATH_END.py |
{
"filename": "plot_release_highlights_0_22_0.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/release_highlights/plot_release_highlights_0_22_0.py",
"type": "Python"
} | """
========================================
Release Highlights for scikit-learn 0.22
========================================
.. currentmodule:: sklearn
We are pleased to announce the release of scikit-learn 0.22, which comes
with many bug fixes and new features! We detail below a few of the major
features of this r... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@release_highlights@plot_release_highlights_0_22_0.py@.PATH_END.py |
{
"filename": "image_gen.py",
"repo_name": "jakeret/tf_unet",
"repo_path": "tf_unet_extracted/tf_unet-master/tf_unet/image_gen.py",
"type": "Python"
} | # tf_unet 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.
#
# tf_unet is distributed in the hope that it will be useful,
# but WITHOUT... | jakeretREPO_NAMEtf_unetPATH_START.@tf_unet_extracted@tf_unet-master@tf_unet@image_gen.py@.PATH_END.py |
{
"filename": "c2ray_244paper.py",
"repo_name": "phirling/pyc2ray",
"repo_path": "pyc2ray_extracted/pyc2ray-main/pyc2ray/c2ray_244paper.py",
"type": "Python"
} | import yaml
import atexit
import re
import numpy as np
try:
from yaml import CSafeLoader as SafeLoader
except ImportError:
from yaml import SafeLoader
from .utils.logutils import printlog
from .evolve import evolve3D
from astropy.cosmology import FlatLambdaCDM
from .asora_core import device_init, device_close, ... | phirlingREPO_NAMEpyc2rayPATH_START.@pyc2ray_extracted@pyc2ray-main@pyc2ray@c2ray_244paper.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "sdss/marvin",
"repo_path": "marvin_extracted/marvin-main/python/marvin/utils/datamodel/dap/base.py",
"type": "Python"
} | #!/usr/bin/env python3
# encoding: utf-8
#
# datamodel.py
#
# Created by José Sánchez-Gallego on 18 Sep 2016.
# Refactored by José Sánchez-Gallego on 6 Aug 2017.
from __future__ import absolute_import, division, print_function
import copy as copy_mod
import itertools
import os
import re
import astropy.table as tabl... | sdssREPO_NAMEmarvinPATH_START.@marvin_extracted@marvin-main@python@marvin@utils@datamodel@dap@base.py@.PATH_END.py |
{
"filename": "distributed_training_utils_v1.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/keras/distribute/distributed_training_utils_v1.py",
"type": "Python"
} | # Copyright 2018 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@keras@distribute@distributed_training_utils_v1.py@.PATH_END.py |
{
"filename": "test_TRIDENT.py",
"repo_name": "MartianColonist/POSEIDON",
"repo_path": "POSEIDON_extracted/POSEIDON-main/tests/test_TRIDENT.py",
"type": "Python"
} | import pytest
def test_Rayleigh():
'''
Test POSEIDON's forward model, TRIDENT, against an analytic expression
for a pure H2 Rayleigh scattering atmosphere.
'''
from POSEIDON.constants import R_Sun, R_J, M_J
from POSEIDON.core import create_star, create_planet, define_model, \
... | MartianColonistREPO_NAMEPOSEIDONPATH_START.@POSEIDON_extracted@POSEIDON-main@tests@test_TRIDENT.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/line/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="scattercarpet.line", **kwargs):
super(ColorValidator, 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@scattercarpet@line@_color.py@.PATH_END.py |
{
"filename": "test_import.py",
"repo_name": "KeplerGO/kadenza",
"repo_path": "kadenza_extracted/kadenza-master/kadenza/tests/test_import.py",
"type": "Python"
} | """Basic test: can we import kadenza?"""
def test_import():
from .. import kadenza
try:
kadenza.kadenza_tpf_main()
except SystemExit: # System exit is expected (required arguments missing)
pass
try:
kadenza.kadenza_ffi_main()
except SystemExit:
pass
| KeplerGOREPO_NAMEkadenzaPATH_START.@kadenza_extracted@kadenza-master@kadenza@tests@test_import.py@.PATH_END.py |
{
"filename": "_namelength.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/box/hoverlabel/_namelength.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="namelength", parent_name="box.hoverlabel", **kwargs
):
super(NamelengthValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@box@hoverlabel@_namelength.py@.PATH_END.py |
{
"filename": "_astropy_init.py",
"repo_name": "djones1040/PythonPhot",
"repo_path": "PythonPhot_extracted/PythonPhot-master/PythonPhot/_astropy_init.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
__all__ = ['__version__', '__githash__', 'test']
# this indicates whether or not we are in the package's setup.py
try:
_ASTROPY_SETUP_
except NameError:
from sys import version_info
if version_info[0] >= 3:
import builtins
else:
... | djones1040REPO_NAMEPythonPhotPATH_START.@PythonPhot_extracted@PythonPhot-master@PythonPhot@_astropy_init.py@.PATH_END.py |
{
"filename": "wright_bessel_data.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/special/_precompute/wright_bessel_data.py",
"type": "Python"
} | """Compute a grid of values for Wright's generalized Bessel function
and save the values to data files for use in tests. Using mpmath directly in
tests would take too long.
This takes about 10 minutes to run on a 2.7 GHz i7 Macbook Pro.
"""
from functools import lru_cache
import os
from time import time
import numpy ... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@special@_precompute@wright_bessel_data.py@.PATH_END.py |
{
"filename": "DRRP_ADOptimization.ipynb",
"repo_name": "Jashcraf/katsu",
"repo_path": "katsu_extracted/katsu-main/docs/notebooks/DRRP_ADOptimization.ipynb",
"type": "Jupyter Notebook"
} | ```python
from katsu.katsu_math import set_backend_to_jax
set_backend_to_jax()
from katsu.katsu_math import (
np,
broadcast_kron,
condition_number
)
from katsu.mueller import(
linear_diattenuator,
linear_retarder
)
import numpy as tnp
import matplotlib.pyplot as plt
```
Exploring option of using an... | JashcrafREPO_NAMEkatsuPATH_START.@katsu_extracted@katsu-main@docs@notebooks@DRRP_ADOptimization.ipynb@.PATH_END.py |
{
"filename": "Healpy misc.ipynb",
"repo_name": "jan-rybizki/gdr2_completeness",
"repo_path": "gdr2_completeness_extracted/gdr2_completeness-master/tutorials/Healpy misc.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
import healpy as hp
from healpy import ang2pix, pix2ang, order2nside
from astropy.coordinates import SkyCoord
```
```python
def hpx2lb(hpx,lvl):
'''
Function to convert between HEALpix level 5 to Galactic l,b values
'''
nside = hp.order2nsid... | jan-rybizkiREPO_NAMEgdr2_completenessPATH_START.@gdr2_completeness_extracted@gdr2_completeness-master@tutorials@Healpy misc.ipynb@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/coloraxis/colorbar/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="tickformat",
parent_name="layout.coloraxis.colorbar",
**kwargs
):
super(TickformatValidator, self).__init__(
plotly_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@coloraxis@colorbar@_tickformat.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/marker/colorbar/tickfont/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="histogram.marker.colorbar.tickfont",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram@marker@colorbar@tickfont@_family.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/hoverlabel/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="surface.hoverlabel.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@hoverlabel@font@_family.py@.PATH_END.py |
{
"filename": "graphics_plot_fit_ex.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/docs/source/plots/graphics_plot_fit_ex.py",
"type": "Python"
} | """
Created on Monday April 1st 2013
Author: Padarn Wilson
"""
# Load the Statewide Crime data set and perform linear regression with
# 'poverty' and 'hs_grad' as variables and 'murder' as the response
import matplotlib.pyplot as plt
import numpy as np
import statsmodels.api as sm
data = sm.datasets.statecri... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@docs@source@plots@graphics_plot_fit_ex.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/carpet/baxis/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._offset import OffsetValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_impor... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@baxis@title@__init__.py@.PATH_END.py |
{
"filename": "chi_dist_example.py",
"repo_name": "htjb/maxsmooth",
"repo_path": "maxsmooth_extracted/maxsmooth-master/example_codes/chi_dist_example.py",
"type": "Python"
} | """
This example will show you how to generate a plot of the :math:`{\chi^2}`
distribution as a function of the descrete sign combinations on the constrained
derivatives.
First you will need to import your data and fit this using ``maxsmooth`` as
was done in the simple example code.
"""
import numpy as np
x = np.lo... | htjbREPO_NAMEmaxsmoothPATH_START.@maxsmooth_extracted@maxsmooth-master@example_codes@chi_dist_example.py@.PATH_END.py |
{
"filename": "cfg_idea_trk.py",
"repo_name": "delphes/delphes",
"repo_path": "delphes_extracted/delphes-master/validation/config/cfg_idea_trk.py",
"type": "Python"
} | import os
from collections import OrderedDict
from src.utils import (
compute_bins,
Observable,
Particle,
Slices1D,
EfficiencyParticleBlock,
EfficiencyTaggingBlock,
ResolutionBlock,
ResolutionHisto,
ResolutionPlot,
Text,
)
## provide relative path to the directory
card = "valida... | delphesREPO_NAMEdelphesPATH_START.@delphes_extracted@delphes-master@validation@config@cfg_idea_trk.py@.PATH_END.py |
{
"filename": "preprocessAmpResponses.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/detector/ARIANNA/preprocessAmpResponses.py",
"type": "Python"
} | import numpy as np
import os
from NuRadioReco.utilities import units
import logging
import pickle
logger = logging.getLogger('analog_components')
def save_preprocessed_Amps(response, amp_name):
output_filename = '{}.pkl'.format(amp_name)
with open(output_filename, 'wb') as fout:
logger.info('saving o... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@detector@ARIANNA@preprocessAmpResponses.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/layout/ternary/caxis/title/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._text import TextValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._text.TextVal... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@ternary@caxis@title@__init__.py@.PATH_END.py |
{
"filename": "trainer.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/utils/trainer.py",
"type": "Python"
} | """Module containing the Trainer class and related functions"""
import json
import math
import os
import random
from contextlib import contextmanager
from functools import partial
from typing import List, Optional
import numpy as np
import torch
import torch.cuda
from accelerate.logging import get_logger
from datasets... | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@utils@trainer.py@.PATH_END.py |
{
"filename": "_bounding_boxes.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/torchvision/tv_tensors/_bounding_boxes.py",
"type": "Python"
} | from __future__ import annotations
from enum import Enum
from typing import Any, Mapping, Optional, Sequence, Tuple, Union
import torch
from torch.utils._pytree import tree_flatten
from ._tv_tensor import TVTensor
class BoundingBoxFormat(Enum):
"""Coordinate format of a bounding box.
Available formats are... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@torchvision@tv_tensors@_bounding_boxes.py@.PATH_END.py |
{
"filename": "_linepositionsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/outsidetextfont/_linepositionsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="linepositionsrc",
parent_name="icicle.outsidetextfont",
**kwargs,
):
super(LinepositionsrcValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@outsidetextfont@_linepositionsrc.py@.PATH_END.py |
{
"filename": "_autocolorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/marker/line/_autocolorscale.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AutocolorscaleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="autocolorscale",
parent_name="histogram.marker.line",
**kwargs
):
super(AutocolorscaleValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@marker@line@_autocolorscale.py@.PATH_END.py |
{
"filename": "_testing.py",
"repo_name": "macrocosme/shwirl",
"repo_path": "shwirl_extracted/shwirl-master/shwirl/extern/vispy/testing/_testing.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2015, Vispy Development Team. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -------------------------------------------------------------------------... | macrocosmeREPO_NAMEshwirlPATH_START.@shwirl_extracted@shwirl-master@shwirl@extern@vispy@testing@_testing.py@.PATH_END.py |
{
"filename": "SF.py",
"repo_name": "ageorgakakis/StructureFunction",
"repo_path": "StructureFunction_extracted/StructureFunction-main/SF.py",
"type": "Python"
} | import sys
import os
import stan
import numpy as np
import httpstan.models
import httpstan.cache
from astropy.table import Table
model_code = """
data {
int<lower=1> Nobjects; // number of objects
int<lower=0> counts0[Nobjects]; // observed counts for object 0
int<lower=0> counts1[Nobjects]; // observed coun... | ageorgakakisREPO_NAMEStructureFunctionPATH_START.@StructureFunction_extracted@StructureFunction-main@SF.py@.PATH_END.py |
{
"filename": "testSampleMultipleFields2Lattice1d.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/unit/FieldOperations/testSampleMultipleFields2Lattice1d.py",
"type": "Python"
} | #ATS:test(SELF, label="sampleMultipleFields2Lattice 1D unit tests (serial)")
#ATS:test(SELF, np=4, label="sampleMultipleFields2Lattice 1D unit tests (4 proc)")
import unittest
from Spheral import *
from SpheralTestUtilities import fuzzyEqual
import mpi
from testSampleMultipleFields2Lattice import TestSampleMul... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@unit@FieldOperations@testSampleMultipleFields2Lattice1d.py@.PATH_END.py |
{
"filename": "_y.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/_y.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="y", parent_name="histogram2d", **kwargs):
super(YValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@_y.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/analysis_modules/particle_trajectories/api.py",
"type": "Python"
} | raise RuntimeError(
"Particle trajectories are now available from DatasetSeries "
"objects as ts.particle_trajectories. The ParticleTrajectories "
"analysis module has been removed."
)
| yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@analysis_modules@particle_trajectories@api.py@.PATH_END.py |
{
"filename": "_hoverformat.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/xaxis/_hoverformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hoverformat", parent_name="layout.xaxis", **kwargs):
super(HoverformatValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@xaxis@_hoverformat.py@.PATH_END.py |
{
"filename": "qcat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/deprecated/python/subprocess32/testdata/qcat.py",
"type": "Python"
} | """When ran as a script, simulates cat with no arguments."""
import sys
if __name__ == "__main__":
for line in sys.stdin:
sys.stdout.write(line)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@deprecated@python@subprocess32@testdata@qcat.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/scatter/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatter@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "lenstronomy/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/Plots/__init__.py",
"type": "Python"
} | lenstronomyREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@Plots@__init__.py@.PATH_END.py | |
{
"filename": "_legendrank.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/choroplethmap/_legendrank.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendrank", parent_name="choroplethmap", **kwargs):
super(LegendrankValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmap@_legendrank.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/streamtube/colorbar/_tickfont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="tickfont", parent_name="streamtube.colorbar", **kwargs
):
super(TickfontValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@streamtube@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plazar/TOASTER",
"repo_path": "TOASTER_extracted/TOASTER-master/toolkit/parfiles/__init__.py",
"type": "Python"
} | plazarREPO_NAMETOASTERPATH_START.@TOASTER_extracted@TOASTER-master@toolkit@parfiles@__init__.py@.PATH_END.py | |
{
"filename": "__init__.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/utils/__init__.py",
"type": "Python"
} | from .astrometry_utils import *
from .get_date_version import *
from .maf_utils import *
from .opsim_utils import *
from .output_utils import *
from .stellar_mags import *
| lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@utils@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "LSSTDESC/lsstdesc-diffsky",
"repo_path": "lsstdesc-diffsky_extracted/lsstdesc-diffsky-main/lsstdesc_diffsky/dspspop/__init__.py",
"type": "Python"
} | LSSTDESCREPO_NAMElsstdesc-diffskyPATH_START.@lsstdesc-diffsky_extracted@lsstdesc-diffsky-main@lsstdesc_diffsky@dspspop@__init__.py@.PATH_END.py | |
{
"filename": "setup.py",
"repo_name": "kenzielach/NRM-artist",
"repo_path": "NRM-artist_extracted/NRM-artist-main/setup.py",
"type": "Python"
} | from setuptools import setup, find_packages
setup(
name = 'NRM-artist',
version = '1.0',
package = find_packages()
) | kenzielachREPO_NAMENRM-artistPATH_START.@NRM-artist_extracted@NRM-artist-main@setup.py@.PATH_END.py |
{
"filename": "synthetic_observations.ipynb",
"repo_name": "Magritte-code/pomme",
"repo_path": "pomme_extracted/pomme-main/docs/src/examples/phantom/synthetic_observations.ipynb",
"type": "Jupyter Notebook"
} | # Synthetic observations - Phantom model
---
```python
import matplotlib.pyplot as plt
import numpy as np
import torch
from astropy import units, constants
from pomme.model import TensorModel
from pomme.haar import Haar
from pomme.plot import plot_cube_2D
from pomme.utils import planck, T_CMB
from... | Magritte-codeREPO_NAMEpommePATH_START.@pomme_extracted@pomme-main@docs@src@examples@phantom@synthetic_observations.ipynb@.PATH_END.py |
{
"filename": "test_boolean_parser.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/tests/unit_tests/output_parsers/test_boolean_parser.py",
"type": "Python"
} | import pytest
from langchain.output_parsers.boolean import BooleanOutputParser
def test_boolean_output_parser_parse() -> None:
parser = BooleanOutputParser()
# Test valid input
result = parser.parse("YES")
assert result is True
# Test valid input
result = parser.parse("NO")
assert resul... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@tests@unit_tests@output_parsers@test_boolean_parser.py@.PATH_END.py |
{
"filename": "_z.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/cone/_z.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="z", parent_name="cone", **kwargs):
super(ZValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwargs... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@cone@_z.py@.PATH_END.py |
{
"filename": "spark-installation.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/concepts/spark-installation.md",
"type": "Markdown"
} | # {{ catboost-spark }} installation
## Requirements
* Linux or macOS with a CPU architecture `x86_64` or `aarch64`/`arm64`. Windows support in progress.
* Apache Spark 2.3 - 3.5
* Scala 2.11, 2.12 or 2.13 (corresponding to versions supported by the particular Spark version)
## Choose installation method
It is gener... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@concepts@spark-installation.md@.PATH_END.py |
{
"filename": "eagle.py",
"repo_name": "pynbody/tangos",
"repo_path": "tangos_extracted/tangos-master/tangos/properties/pynbody/eagle.py",
"type": "Python"
} | import numpy as np
from ...input_handlers import eagle
from ...log import logger
from . import PynbodyPropertyCalculation
class EagleBH(PynbodyPropertyCalculation):
works_with_handler = eagle.EagleLikeInputHandler
names = "BH_mass", "BH_mdot"
def calculate(self, particle_data, halo_entry):
retu... | pynbodyREPO_NAMEtangosPATH_START.@tangos_extracted@tangos-master@tangos@properties@pynbody@eagle.py@.PATH_END.py |
{
"filename": "spatial_rms_dist.py",
"repo_name": "pyDANDIA/pyDANDIA",
"repo_path": "pyDANDIA_extracted/pyDANDIA-main/trials/spatial_rms_dist.py",
"type": "Python"
} | from sys import argv
from scipy.stats import binned_statistic_2d
from pyDANDIA import metadata
from pyDANDIA import hd5_utils
from pyDANDIA import crossmatch
import matplotlib.pyplot as plt
import numpy as np
from os import path, sep
import glob
import h5py
#from scipy import signal
#Col 1: hjd
#Col 4: calibrated_mag
#... | pyDANDIAREPO_NAMEpyDANDIAPATH_START.@pyDANDIA_extracted@pyDANDIA-main@trials@spatial_rms_dist.py@.PATH_END.py |
{
"filename": "ImageColor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pillow/py2/PIL/ImageColor.py",
"type": "Python"
} | #
# The Python Imaging Library
# $Id$
#
# map CSS3-style colour description strings to RGB
#
# History:
# 2002-10-24 fl Added support for CSS-style color strings
# 2002-12-15 fl Added RGBA support
# 2004-03-27 fl Fixed remaining int() problems for Python 1.5.2
# 2004-07-19 fl Fixed gray/grey spelling issues
# 2... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pillow@py2@PIL@ImageColor.py@.PATH_END.py |
{
"filename": "_bgcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolar/marker/colorbar/_bgcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self,
plotly_name="bgcolor",
parent_name="scatterpolar.marker.colorbar",
**kwargs,
):
super(BgcolorValidator, self).__init__(
plotly_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolar@marker@colorbar@_bgcolor.py@.PATH_END.py |
{
"filename": "plot_noiselevels.py",
"repo_name": "carronj/plancklens",
"repo_path": "plancklens_extracted/plancklens-master/examples/plot_noiselevels.py",
"type": "Python"
} | """This plots the Gaussian noise levels for a given ansisotropy source QE estimators.
"""
import numpy as np
import healpy as hp
import pylab as pl
import os
import plancklens
from plancklens import utils
from plancklens import nhl, qresp
cls_path = os.path.join(os.path.dirname(os.path.abspath(plancklens.__file__)),... | carronjREPO_NAMEplancklensPATH_START.@plancklens_extracted@plancklens-master@examples@plot_noiselevels.py@.PATH_END.py |
{
"filename": "test_modules.py",
"repo_name": "desihub/desiutil",
"repo_path": "desiutil_extracted/desiutil-main/py/desiutil/test/test_modules.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
"""Test desiutil.modules.
"""
import unittest
from stat import S_IMODE, S_IXUSR, S_IRUSR, S_IRGRP, S_IROTH
from types import MethodType
from os import chmod, environ, mkdir, pathsep, remove, rmdir, stat
from os.path import exists, i... | desihubREPO_NAMEdesiutilPATH_START.@desiutil_extracted@desiutil-main@py@desiutil@test@test_modules.py@.PATH_END.py |
{
"filename": "computeMap3_SLICS_convergence.py",
"repo_name": "sheydenreich/threepoint",
"repo_path": "threepoint_extracted/threepoint-main/python_scripts/old/computeMap3_SLICS_convergence.py",
"type": "Python"
} | from utility import aperture_mass_computer
from astropy.io import fits
import numpy as np
from multiprocessing import Pool
import tqdm
import matplotlib.pyplot as plt
def read_convergence_SLICS(filename):
kappa = fits.open(filename)[0].data[0]
#plt.imshow(kappa)
#plt.show()
return kappa
def read_file... | sheydenreichREPO_NAMEthreepointPATH_START.@threepoint_extracted@threepoint-main@python_scripts@old@computeMap3_SLICS_convergence.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram/legendgrouptitle/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="variant",
parent_name="histogram.legendgrouptitle.font",
**kwargs,
):
super(VariantValidator, self).__init__(
plotl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@histogram@legendgrouptitle@font@_variant.py@.PATH_END.py |
{
"filename": "diffusion.py",
"repo_name": "guillochon/MOSFiT",
"repo_path": "MOSFiT_extracted/MOSFiT-master/mosfit/modules/transforms/diffusion.py",
"type": "Python"
} | """Definitions for the `Diffusion` class."""
import numpy as np
from scipy.interpolate import interp1d
from mosfit.constants import C_CGS, DAY_CGS, FOUR_PI, KM_CGS, M_SUN_CGS
from mosfit.modules.transforms.transform import Transform
# Important: Only define one ``Module`` class per file.
class Diffusion(Transform)... | guillochonREPO_NAMEMOSFiTPATH_START.@MOSFiT_extracted@MOSFiT-master@mosfit@modules@transforms@diffusion.py@.PATH_END.py |
{
"filename": "test_resources.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/core/tests/test_resources.py",
"type": "Python"
} | import pytest
from chimera.core.resources import ResourcesManager
from chimera.core.exceptions import InvalidLocationException, ObjectNotFoundException
class TestResources:
def setup_method(self):
# each test will receive a fresh new class, so define our fixture right here
self.res = ResourcesMa... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@core@tests@test_resources.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/scatter/unselected/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatter.unselected"
_path_str = "scatter.unselected.marker"
_valid_props = {"color", "opacit... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatter@unselected@_marker.py@.PATH_END.py |
{
"filename": "test_win32inet.py",
"repo_name": "mhammond/pywin32",
"repo_path": "pywin32_extracted/pywin32-main/win32/test/test_win32inet.py",
"type": "Python"
} | import unittest
import winerror
from pywin32_testutil import TestSkipped, testmain
from win32inet import (
FtpCommand,
InternetCanonicalizeUrl,
InternetConnect,
InternetGetCookie,
InternetGetLastResponseInfo,
InternetOpen,
InternetOpenUrl,
InternetReadFile,
InternetSetCookie,
er... | mhammondREPO_NAMEpywin32PATH_START.@pywin32_extracted@pywin32-main@win32@test@test_win32inet.py@.PATH_END.py |
{
"filename": "test_wigner_custom_grads.py",
"repo_name": "astro-informatics/s2fft",
"repo_path": "s2fft_extracted/s2fft-main/tests/test_wigner_custom_grads.py",
"type": "Python"
} | import jax
import jax.numpy as jnp
import pytest
from jax.test_util import check_grads
from s2fft.recursions.price_mcewen import generate_precomputes_wigner_jax
from s2fft.transforms import wigner
jax.config.update("jax_enable_x64", True)
L_to_test = [6]
N_to_test = [3]
L_lower_to_test = [1]
sampling_to_test = ["mw"... | astro-informaticsREPO_NAMEs2fftPATH_START.@s2fft_extracted@s2fft-main@tests@test_wigner_custom_grads.py@.PATH_END.py |
{
"filename": "test_oracleadb.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/unit_tests/document_loaders/test_oracleadb.py",
"type": "Python"
} | from typing import Dict, List
from unittest.mock import MagicMock, patch
from langchain_core.documents import Document
from langchain_community.document_loaders.oracleadb_loader import (
OracleAutonomousDatabaseLoader,
)
def raw_docs() -> List[Dict]:
return [
{"FIELD1": "1", "FIELD_JSON": {"INNER_FI... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@unit_tests@document_loaders@test_oracleadb.py@.PATH_END.py |
{
"filename": "_showtickprefix.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/marker/colorbar/_showtickprefix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowtickprefixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showtickprefix",
parent_name="scattergeo.marker.colorbar",
**kwargs
):
super(ShowtickprefixValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@marker@colorbar@_showtickprefix.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnel/marker/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="funnel.marker", **kwargs):
super(ColorValidator, 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@funnel@marker@_color.py@.PATH_END.py |
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