metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "full_simulation.py",
"repo_name": "lsstdesc/sn_pipe",
"repo_path": "sn_pipe_extracted/sn_pipe-master/run_scripts/fakes/full_simulation.py",
"type": "Python"
} | import os
from optparse import OptionParser
import numpy as np
parser = OptionParser()
parser.add_option("--fake_config", type="str", default='Fake_cadence.yaml',
help="config file name for fake obs[%default]")
parser.add_option("--fake_output", type="str", default='Fake_DESC',
hel... | lsstdescREPO_NAMEsn_pipePATH_START.@sn_pipe_extracted@sn_pipe-master@run_scripts@fakes@full_simulation.py@.PATH_END.py |
{
"filename": "annotation_polar.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/text_labels_and_annotations/annotation_polar.py",
"type": "Python"
} | """
====================
Annotate polar plots
====================
This example shows how to create an annotation on a polar graph.
For a complete overview of the annotation capabilities, also see the
:ref:`annotations`.
.. redirect-from:: /gallery/pyplots/annotation_polar
"""
import matplotlib.pyplot as plt
import ... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@text_labels_and_annotations@annotation_polar.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "esheldon/ngmix",
"repo_path": "ngmix_extracted/ngmix-master/ngmix/__init__.py",
"type": "Python"
} | # flake8: noqa
from numba.core.errors import NumbaExperimentalFeatureWarning
import warnings
warnings.simplefilter('ignore', category=NumbaExperimentalFeatureWarning)
from ._version import __version__
from . import util
from .util import print_pars
from . import flags
from . import defaults
from . import gmix
from... | esheldonREPO_NAMEngmixPATH_START.@ngmix_extracted@ngmix-master@ngmix@__init__.py@.PATH_END.py |
{
"filename": "potentials.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/itreg/regpy/util/potentials.py",
"type": "Python"
} | import numpy as np
def bell(domain):
v = domain.zeros()
r = np.linalg.norm(domain.coords, axis=0)
v[r < 1] = np.exp(-1 / (1 - r[r < 1]**2))
return v
def peaks(domain):
r = np.linalg.norm(domain.coords, axis=0)
M = mollifier(r)
X = domain.coords
f = 3 * (1 - X[0])**2 * np.exp(-X[0]**2... | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@itreg@regpy@util@potentials.py@.PATH_END.py |
{
"filename": "within_saa.py",
"repo_name": "jotaylor/acdc-hst",
"repo_path": "acdc-hst_extracted/acdc-hst-main/src/acdc/database/within_saa.py",
"type": "Python"
} | import numpy as np
import math
# Model 31 from https://github.com/spacetelescope/costools/blob/master/costools/saamodel.py
COS_FUV_MODEL = [
(-28.3, 14.0),
(-27.5, 15.0),
(-26.1, 13.0),
(-19.8, 1.5),
( -9.6, 341.0),
( -7.6, 330.4),
( -6.0, 318.8),
( -7.9, ... | jotaylorREPO_NAMEacdc-hstPATH_START.@acdc-hst_extracted@acdc-hst-main@src@acdc@database@within_saa.py@.PATH_END.py |
{
"filename": "halo_model.py",
"repo_name": "LSSTDESC/CCL",
"repo_path": "CCL_extracted/CCL-master/pyccl/halos/halo_model.py",
"type": "Python"
} | __all__ = ("HMCalculator",)
import numpy as np
from scipy.integrate import simpson
from .. import CCLAutoRepr, unlock_instance
from .. import physical_constants as const
from . import MassDef
from ..pyutils import _spline_integrate
class HMCalculator(CCLAutoRepr):
"""This class implements a set of methods that ... | LSSTDESCREPO_NAMECCLPATH_START.@CCL_extracted@CCL-master@pyccl@halos@halo_model.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/barpolar/legendgrouptitle/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="barpolar.legendgrouptitle.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotly_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@barpolar@legendgrouptitle@font@_style.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "hpparvi/PyTransit",
"repo_path": "PyTransit_extracted/PyTransit-master/README.md",
"type": "Markdown"
} | PyTransit
=========
[](http://www.gnu.org/licenses/gpl-2.0.html)
[](http://mnras.oxfordjournals.org/content/450/3/3233)
[![arXiv](http://img.shields.io/badge/arXiv-1504... | hpparviREPO_NAMEPyTransitPATH_START.@PyTransit_extracted@PyTransit-master@README.md@.PATH_END.py |
{
"filename": "paper.md",
"repo_name": "galsci/pysm",
"repo_path": "pysm_extracted/pysm-main/paper/paper.md",
"type": "Markdown"
} | ---
title: 'The Python Sky Model 3 software'
tags:
- cosmology
- astronomy
- python
authors:
- name: Andrea Zonca
orcid: 0000-0001-6841-1058
affiliation: "1"
- name: Ben Thorne
orcid: 0000-0002-0457-0153
affiliation: "2"
- name: Nicoletta Krachmalnicoff
affiliation: "3,4,5"
- name: Julian Borri... | galsciREPO_NAMEpysmPATH_START.@pysm_extracted@pysm-main@paper@paper.md@.PATH_END.py |
{
"filename": "pyNTHCOMP.py",
"repo_name": "scotthgn/relagn",
"repo_path": "relagn_extracted/relagn-main/src/python_version/pyNTHCOMP.py",
"type": "Python"
} |
"""
This was taken from https://github.com/arnauqb/qsosed/tree/master/qsosed,
which in turn was taken from https://github.com/ADThomas-astro/oxaf/blob/master/oxaf.py .
Credit to A.D. Thomas.
Code was adapted from Xspec for https://arxiv.org/pdf/1611.05165.pdf .
"""
import numpy as np
def donthcomp(ear, param):
... | scotthgnREPO_NAMErelagnPATH_START.@relagn_extracted@relagn-main@src@python_version@pyNTHCOMP.py@.PATH_END.py |
{
"filename": "plots.py",
"repo_name": "jcforbes/gidget",
"repo_path": "gidget_extracted/gidget-master/py/plots.py",
"type": "Python"
} | from readoutput import *
from balanceplot import balance, balancesig
import argparse
import cleanup
import pdb
def makeThePlots(args):
if args.time is False and args.radial is False and args.scaled is False and args.mass==0 and args.balance is False:
print ("Warning: you did not ask me to produce any plo... | jcforbesREPO_NAMEgidgetPATH_START.@gidget_extracted@gidget-master@py@plots.py@.PATH_END.py |
{
"filename": "_upperfence.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/box/_upperfence.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UpperfenceValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="upperfence", parent_name="box", **kwargs):
super(UpperfenceValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@box@_upperfence.py@.PATH_END.py |
{
"filename": "body.py",
"repo_name": "mikecokina/elisa",
"repo_path": "elisa_extracted/elisa-master/src/elisa/base/body.py",
"type": "Python"
} | import numpy as np
from typing import Dict
from copy import copy
from abc import (
ABCMeta,
abstractmethod
)
from .. utils import is_empty
from .. base.spot import Spot
from .. logger import getLogger
from .. import (
units as u,
umpy as up
)
logger = getLogger('base.body')
class Body(metaclass=ABC... | mikecokinaREPO_NAMEelisaPATH_START.@elisa_extracted@elisa-master@src@elisa@base@body.py@.PATH_END.py |
{
"filename": "obsrate_metric.md",
"repo_name": "lsstdesc/sn_pipe",
"repo_path": "sn_pipe_extracted/sn_pipe-master/docs/Metrics/obsrate_metric.md",
"type": "Markdown"
} | # ObsRate metric
## Definition
This metric is an estimate of the observation rate of faint [(x1,color) = (-2.0,0.2)] using gri (default) bands. It is defined as the fraction of supernovae with minimal SNR per band.
Let us suppose that we have a set of measurements of (fluxes,error fluxes): (f<sub>i</sub>,σ<sub>... | lsstdescREPO_NAMEsn_pipePATH_START.@sn_pipe_extracted@sn_pipe-master@docs@Metrics@obsrate_metric.md@.PATH_END.py |
{
"filename": "check_templates.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/docs/scripts/check_templates.py",
"type": "Python"
} | import json
import re
import sys
from functools import cache
from pathlib import Path
from typing import Dict, Iterable, List, Union
CURR_DIR = Path(__file__).parent.absolute()
CLI_TEMPLATE_DIR = (
CURR_DIR.parent.parent / "libs/cli/langchain_cli/integration_template/docs"
)
INFO_BY_DIR: Dict[str, Dict[str, Union... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@docs@scripts@check_templates.py@.PATH_END.py |
{
"filename": "ktransit.py",
"repo_name": "mrtommyb/ktransit",
"repo_path": "ktransit_extracted/ktransit-master/ktransit/ktransit.py",
"type": "Python"
} | from __future__ import absolute_import
import numpy as np
from ._tmodtom import transitmodel
class LCModel(object):
def __init__(self):
self.nplanets = 0
self.T0 = []
self.period = []
self.impact = []
self.rprs = []
self.ecosw = []
self.esinw = []
s... | mrtommybREPO_NAMEktransitPATH_START.@ktransit_extracted@ktransit-master@ktransit@ktransit.py@.PATH_END.py |
{
"filename": "test_toa_shuffle.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/tests/test_toa_shuffle.py",
"type": "Python"
} | import io
import os
from copy import deepcopy
import numpy as np
import pytest
from hypothesis import given
from hypothesis.strategies import (
composite,
permutations,
)
from astropy import units as u
from pinttestdata import datadir
from pint import simulation, toa
import pint.residuals
from pint.models i... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@tests@test_toa_shuffle.py@.PATH_END.py |
{
"filename": "_minexponent.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/colorbar/_minexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MinexponentValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="minexponent",
parent_name="histogram2dcontour.colorbar",
**kwargs
):
super(MinexponentValidator, self).__init__(
pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@colorbar@_minexponent.py@.PATH_END.py |
{
"filename": "errors.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/parso/py3/parso/python/errors.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import codecs
import sys
import warnings
import re
from contextlib import contextmanager
from parso.normalizer import Normalizer, NormalizerConfig, Issue, Rule
from parso.python.tokenize import _get_token_collection
_BLOCK_STMTS = ('if_stmt', 'while_stmt', 'for_stmt', 'try_stmt', 'with_stmt')
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@parso@py3@parso@python@errors.py@.PATH_END.py |
{
"filename": "TauRunner_examples.ipynb",
"repo_name": "icecube/TauRunner",
"repo_path": "TauRunner_extracted/TauRunner-master/examples/TauRunner_examples.ipynb",
"type": "Jupyter Notebook"
} | ## TauRunner
Welcome to the TauRunner tutorial! This software is capable of simulating neutrinos (and anti-neutrinos) of all flavors, accounting for tau regeneration and losses in the nutau channel. The output is a set of particle energies, number of interactions, angle, and particle type.
The user has the option to ... | icecubeREPO_NAMETauRunnerPATH_START.@TauRunner_extracted@TauRunner-master@examples@TauRunner_examples.ipynb@.PATH_END.py |
{
"filename": "nimrod.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/lexers/nimrod.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.lexers.nimrod
~~~~~~~~~~~~~~~~~~~~~~
Lexer for the Nim language (formerly known as Nimrod).
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, include... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@lexers@nimrod.py@.PATH_END.py |
{
"filename": "feature_set.py",
"repo_name": "dwkim78/upsilon",
"repo_path": "upsilon_extracted/upsilon-master/upsilon/extract_features/feature_set.py",
"type": "Python"
} | def get_feature_set():
"""
Return a list of features' names.
Features' name that are used to train a model and predict a class.
Sorted by the names.
Returns
-------
feature_names : list
A list of features' names.
"""
features = ['amplitude', 'hl_amp_ratio', 'kurtosis', 'pe... | dwkim78REPO_NAMEupsilonPATH_START.@upsilon_extracted@upsilon-master@upsilon@extract_features@feature_set.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/colorbar/title/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="heatmap.colorbar.title.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@colorbar@title@font@_family.py@.PATH_END.py |
{
"filename": "finecenter.py",
"repo_name": "t-brandt/acorns-adi",
"repo_path": "acorns-adi_extracted/acorns-adi-master/centroid/finecenter.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Original filename: finecenter.py
#
# Author: Tim Brandt
# Email: tbrandt@astro.princeton.edu
# Date: May 2012
#
# Summary: Interactively refine the centroid of an image sequence
#
#from speckle_centroid import speckle_centroid
from easygui import *
from pylab import *
import pyfits as pyf
... | t-brandtREPO_NAMEacorns-adiPATH_START.@acorns-adi_extracted@acorns-adi-master@centroid@finecenter.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "nespinoza/mc-spam",
"repo_path": "mc-spam_extracted/mc-spam-master/README.md",
"type": "Markdown"
} | # mc-spam
MC-SPAM (Monte-Carlo Synthetic-Photometry/Atmosphere-Model) is an algorithm to generate limb-darkening coefficients
from models that are comparable to transit photometry according to the formalism described in Espinoza & Jordan (2015),
which improves the original SPAM algorithm proposed by Howarth (2011) b... | nespinozaREPO_NAMEmc-spamPATH_START.@mc-spam_extracted@mc-spam-master@README.md@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/ohlc/legendgrouptitle/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="ohlc.legendgrouptitle.font", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@ohlc@legendgrouptitle@font@_variant.py@.PATH_END.py |
{
"filename": "html.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/io/html.py",
"type": "Python"
} | """
:mod:`pandas.io.html` is a module containing functionality for dealing with
HTML IO.
"""
from __future__ import annotations
from collections import abc
import errno
import numbers
import os
import re
from re import Pattern
from typing import (
TYPE_CHECKING,
Literal,
cast,
)
from pandas._libs import... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@io@html.py@.PATH_END.py |
{
"filename": "from_vizier_table.ipynb",
"repo_name": "cds-astro/mocpy",
"repo_path": "mocpy_extracted/mocpy-master/notebooks/from_vizier_table.ipynb",
"type": "Jupyter Notebook"
} | # Get the MOC corresponding to a table
```python
from mocpy import MOC
```
```python
gum_qso_moc = MOC.from_vizier_table("VI/137/gum_qso", nside=512)
```
WARNING: Keyword 'TTYPE1' found more than once in a same HDU! We use the first occurrence.
```python
gum_qso_moc.display_preview()
```
![png](outpu... | cds-astroREPO_NAMEmocpyPATH_START.@mocpy_extracted@mocpy-master@notebooks@from_vizier_table.ipynb@.PATH_END.py |
{
"filename": "EarthSystem.ipynb",
"repo_name": "james-trayford/strauss",
"repo_path": "strauss_extracted/strauss-main/examples/colab/EarthSystem.ipynb",
"type": "Jupyter Notebook"
} | #### Preamble for `CoLab`
To use this notebook (if you haven't already) you can first save a copy to your local drive by clicking `File > Save a Copy in Drive` and run on that copy.
_Note_: `Colab` is a really handy way to test and try `strauss`, though it will generally run and display audio more slowly than runnin... | james-trayfordREPO_NAMEstraussPATH_START.@strauss_extracted@strauss-main@examples@colab@EarthSystem.ipynb@.PATH_END.py |
{
"filename": "ImagePath.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pillow/py3/PIL/ImagePath.py",
"type": "Python"
} | #
# The Python Imaging Library
# $Id$
#
# path interface
#
# History:
# 1996-11-04 fl Created
# 2002-04-14 fl Added documentation stub class
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
from __future__ import annota... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pillow@py3@PIL@ImagePath.py@.PATH_END.py |
{
"filename": "_namelengthsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/treemap/hoverlabel/_namelengthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="namelengthsrc", parent_name="treemap.hoverlabel", **kwargs
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@treemap@hoverlabel@_namelengthsrc.py@.PATH_END.py |
{
"filename": "openapi.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/utilities/openapi.py",
"type": "Python"
} | """Utility functions for parsing an OpenAPI spec."""
from __future__ import annotations
import copy
import json
import logging
import re
from enum import Enum
from pathlib import Path
from typing import TYPE_CHECKING, Dict, List, Optional, Union
import requests
import yaml
from pydantic import ValidationError
logge... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@utilities@openapi.py@.PATH_END.py |
{
"filename": "spl.py",
"repo_name": "COSMOGRAIL/PyCS",
"repo_path": "PyCS_extracted/PyCS-master/pycs/gen/spl.py",
"type": "Python"
} | """
Module defining the Spline class, something easy to wrap around SciPy splines.
Includes BOK algorithms (Mollinari et al)
Some rules of splrep (k = 3)
- do not put more then 2 knots between data points.
- splrep wants inner knots only, do not give extremal knots, even only "once".
"""
import numpy as np
import ... | COSMOGRAILREPO_NAMEPyCSPATH_START.@PyCS_extracted@PyCS-master@pycs@gen@spl.py@.PATH_END.py |
{
"filename": "3GC_split_model_images.py",
"repo_name": "IanHeywood/oxkat",
"repo_path": "oxkat_extracted/oxkat-master/oxkat/3GC_split_model_images.py",
"type": "Python"
} | #!/usr/bin/env python
# ian.heywood@physics.ox.ac.uk
import glob
import numpy
import shutil
from astropy import wcs
from astropy.io import fits
from optparse import OptionParser
# ---------------------------------------------------------------------------------------
def hms2deg(hms,delimiter=':'):
"""
... | IanHeywoodREPO_NAMEoxkatPATH_START.@oxkat_extracted@oxkat-master@oxkat@3GC_split_model_images.py@.PATH_END.py |
{
"filename": "_spectral.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/optimize/_spectral.py",
"type": "Python"
} | """
Spectral Algorithm for Nonlinear Equations
"""
import collections
import numpy as np
from scipy.optimize import OptimizeResult
from scipy.optimize._optimize import _check_unknown_options
from ._linesearch import _nonmonotone_line_search_cruz, _nonmonotone_line_search_cheng
class _NoConvergence(Exception):
pas... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@optimize@_spectral.py@.PATH_END.py |
{
"filename": "spawn.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py3/setuptools/_distutils/spawn.py",
"type": "Python"
} | """distutils.spawn
Provides the 'spawn()' function, a front-end to various platform-
specific functions for launching another program in a sub-process.
"""
from __future__ import annotations
import os
import platform
import shutil
import subprocess
import sys
import warnings
from typing import Mapping
from ._log i... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py3@setuptools@_distutils@spawn.py@.PATH_END.py |
{
"filename": "suspect.py",
"repo_name": "astrocatalogs/supernovae",
"repo_path": "supernovae_extracted/supernovae-master/tasks/suspect.py",
"type": "Python"
} | """Import tasks for SUSPECT.
"""
import csv
import json
import os
import re
import urllib
from glob import glob
from html import unescape
from math import floor
from astropy.time import Time as astrotime
from bs4 import BeautifulSoup
from astrocats.catalog.utils import (get_sig_digits, is_number, jd_to_mjd,
... | astrocatalogsREPO_NAMEsupernovaePATH_START.@supernovae_extracted@supernovae-master@tasks@suspect.py@.PATH_END.py |
{
"filename": "dev_ops.md",
"repo_name": "andreatramacere/jetset",
"repo_path": "jetset_extracted/jetset-master/dev_ops.md",
"type": "Markdown"
} | ## local operations
- update version: update the tag in `jetset/pkg_info.json`
- clean `__pycache__`: ```find . -type d -name __pycache__ | xargs rm -r```
- If you want to make a tag you can use the script, the `-do_remote_tag` option will create the tag remotely,
deleting remotely the one with the same name... | andreatramacereREPO_NAMEjetsetPATH_START.@jetset_extracted@jetset-master@dev_ops.md@.PATH_END.py |
{
"filename": "nasm.py",
"repo_name": "duvall3/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Tool/nasm.py",
"type": "Python"
} | """SCons.Tool.nasm
Tool-specific initialization for nasm, the famous Netwide Assembler.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 ... | duvall3REPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Tool@nasm.py@.PATH_END.py |
{
"filename": "test_endpoint.py",
"repo_name": "jdswinbank/Comet",
"repo_path": "Comet_extracted/Comet-master/comet/utility/test/test_endpoint.py",
"type": "Python"
} | from twisted.internet import reactor
from twisted.trial import unittest
from comet.utility import coerce_to_client_endpoint, coerce_to_server_endpoint
class coerce_to_client_endpoint_TestCase(unittest.TestCase):
HOST, PORT, DEFAULT_PORT = "test", 1234, 4321
def test_good_tcp_parse(self):
ep = coerce... | jdswinbankREPO_NAMECometPATH_START.@Comet_extracted@Comet-master@comet@utility@test@test_endpoint.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "OpenAccess-AI-Collective/axolotl",
"repo_path": "axolotl_extracted/axolotl-main/src/axolotl/core/trainers/__init__.py",
"type": "Python"
} | OpenAccess-AI-CollectiveREPO_NAMEaxolotlPATH_START.@axolotl_extracted@axolotl-main@src@axolotl@core@trainers@__init__.py@.PATH_END.py | |
{
"filename": "3)_Simple_Visualization.ipynb",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/doc/source/quickstart/3)_Simple_Visualization.ipynb",
"type": "Jupyter Notebook"
} | # Simple Visualizations of Data
Just like in our first notebook, we have to load yt and then some data.
```python
import yt
```
For this notebook, we'll load up a cosmology dataset.
```python
ds = yt.load_sample("enzo_tiny_cosmology")
print("Redshift =", ds.current_redshift)
```
In the terms that yt uses, a proj... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@doc@source@quickstart@3)_Simple_Visualization.ipynb@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "desihub/desitarget",
"repo_path": "desitarget_extracted/desitarget-main/py/desitarget/streams/gaia_dr3_parallax_zero_point/README.md",
"type": "Markdown"
} | ## Attribution
The code and coefficient files in this directory are a snapshot of the
[gaiadr3_zeropoint](https://gitlab.com/icc-ub/public/gaiadr3_zeropoint/-/blob/master/)
package (downloaded on 2024-03-05). Please refer to
[the original code](https://gitlab.com/icc-ub/public/gaiadr3_zeropoint/)
for details and attri... | desihubREPO_NAMEdesitargetPATH_START.@desitarget_extracted@desitarget-main@py@desitarget@streams@gaia_dr3_parallax_zero_point@README.md@.PATH_END.py |
{
"filename": "_exponentformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/parcoords/line/colorbar/_exponentformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ExponentformatValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="exponentformat",
parent_name="parcoords.line.colorbar",
**kwargs,
):
super(ExponentformatValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@parcoords@line@colorbar@_exponentformat.py@.PATH_END.py |
{
"filename": "likelihood.py",
"repo_name": "aconley/mbb_emcee",
"repo_path": "mbb_emcee_extracted/mbb_emcee-master/mbb_emcee/likelihood.py",
"type": "Python"
} | import numpy as np
import math
import copy
from .modified_blackbody import modified_blackbody
from .response import response, response_set, special_types
__all__ = ["likelihood"]
#hack for basestring
try:
basestring
except:
#Python 3
basestring = str
class likelihood(object):
"""Class holding data, ... | aconleyREPO_NAMEmbb_emceePATH_START.@mbb_emcee_extracted@mbb_emcee-master@mbb_emcee@likelihood.py@.PATH_END.py |
{
"filename": "5_residual_profiles.py",
"repo_name": "ldolan05/ACID",
"repo_path": "ACID_extracted/ACID-main/.other_scripts/5_residual_profiles.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 22 14:14:17 2021
@author: lucydolan
"""
import numpy as np
import math
import glob
import Mandel_Agol as ma
from scipy.interpolate import interp1d
from mpl_toolkits.axes_grid1 import make_axes_locatable
from scipy.optimize import curve_fit
import ma... | ldolan05REPO_NAMEACIDPATH_START.@ACID_extracted@ACID-main@.other_scripts@5_residual_profiles.py@.PATH_END.py |
{
"filename": "_contours.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/contour/_contours.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Contours(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "contour"
_path_str = "contour.contours"
_valid_props = {
"coloring",
"end"... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@contour@_contours.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="scatter", **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@scatter@_stream.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/histogram2d/legendgrouptitle/__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@histogram2d@legendgrouptitle@__init__.py@.PATH_END.py |
{
"filename": "_enabled.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/marker/colorbar/tickformatstop/_enabled.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class EnabledValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self,
plotly_name="enabled",
parent_name="scattermap.marker.colorbar.tickformatstop",
**kwargs,
):
super(EnabledValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@marker@colorbar@tickformatstop@_enabled.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmap/hoverlabel/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="choroplethmap.hoverlabel.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=pl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmap@hoverlabel@font@_family.py@.PATH_END.py |
{
"filename": "psd_math.py",
"repo_name": "hpc4cmb/toast",
"repo_path": "toast_extracted/toast-main/src/toast/fod/psd_math.py",
"type": "Python"
} | # Copyright (c) 2015-2020 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
import numpy as np
from scipy.signal import fftconvolve
from ..mpi import MPI
from ..timing import function_timer
from .._... | hpc4cmbREPO_NAMEtoastPATH_START.@toast_extracted@toast-main@src@toast@fod@psd_math.py@.PATH_END.py |
{
"filename": "XID+_example_pyvo_prior.ipynb",
"repo_name": "H-E-L-P/XID_plus",
"repo_path": "XID_plus_extracted/XID_plus-master/docs/notebooks/examples/XID+_example_pyvo_prior.ipynb",
"type": "Jupyter Notebook"
} | ```python
from astropy.io import ascii, fits
import astropy
import pylab as plt
%matplotlib inline
from astropy import wcs
from astropy.table import Table,Column,join,hstack
from astropy.coordinates import SkyCoord
from astropy import units as u
import pymoc
import glob
from time import sleep
import os
import numpy a... | H-E-L-PREPO_NAMEXID_plusPATH_START.@XID_plus_extracted@XID_plus-master@docs@notebooks@examples@XID+_example_pyvo_prior.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/streamtube/legendgrouptitle/__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"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@streamtube@legendgrouptitle@__init__.py@.PATH_END.py |
{
"filename": "_type.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattergeo/marker/gradient/_type.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TypeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="type", parent_name="scattergeo.marker.gradient", **kwargs
):
super(TypeValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattergeo@marker@gradient@_type.py@.PATH_END.py |
{
"filename": "_stats_py.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/stats/_stats_py.py",
"type": "Python"
} | # Copyright 2002 Gary Strangman. All rights reserved
# Copyright 2002-2016 The SciPy Developers
#
# The original code from Gary Strangman was heavily adapted for
# use in SciPy by Travis Oliphant. The original code came with the
# following disclaimer:
#
# This software is provided "as-is". There are no expressed or... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@stats@_stats_py.py@.PATH_END.py |
{
"filename": "polarizability.py",
"repo_name": "HajimeKawahara/exojax",
"repo_path": "exojax_extracted/exojax-master/src/exojax/atm/polarizability.py",
"type": "Python"
} | """ Gas Polarizability
Notes:
Originally taken from PICASO/GPLv3 picaso/rayleigh.py
polarizabilities are mainly taken from
CRC handbook of chemistry and physics vol. 95 unit=cm3
H3+ taken from Kawaoka & Borkman, 1971
Number density at reference conditions of refractive i... | HajimeKawaharaREPO_NAMEexojaxPATH_START.@exojax_extracted@exojax-master@src@exojax@atm@polarizability.py@.PATH_END.py |
{
"filename": "gaussian_noise.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/regularization/gaussian_noise.py",
"type": "Python"
} | from keras.src import backend
from keras.src import layers
from keras.src import ops
from keras.src.api_export import keras_export
@keras_export("keras.layers.GaussianNoise")
class GaussianNoise(layers.Layer):
"""Apply additive zero-centered Gaussian noise.
This is useful to mitigate overfitting
(you cou... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@regularization@gaussian_noise.py@.PATH_END.py |
{
"filename": "_densitymap.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/_densitymap.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Densitymap(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "densitymap"
_valid_props = {
"autocolorscale",
"below",
"coloraxis",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@_densitymap.py@.PATH_END.py |
{
"filename": "_len.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/barpolar/marker/colorbar/_len.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="len", parent_name="barpolar.marker.colorbar", **kwargs
):
super(LenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@barpolar@marker@colorbar@_len.py@.PATH_END.py |
{
"filename": "radec_to_chip.py",
"repo_name": "GalSim-developers/GalSim",
"repo_path": "GalSim_extracted/GalSim-main/tests/roman_files/radec_to_chip.py",
"type": "Python"
} | # Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or w... | GalSim-developersREPO_NAMEGalSimPATH_START.@GalSim_extracted@GalSim-main@tests@roman_files@radec_to_chip.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/apero/tools/__init__.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
# CODE NAME HERE
# CODE DESCRIPTION HERE
Created on 2019-01-17 at 14:31
@author: cook
"""
__all__ = []
# =============================================================================
# Define functions
# =============================================================... | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@apero@tools@__init__.py@.PATH_END.py |
{
"filename": "test_cassandra.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/integration_tests/vectorstores/test_cassandra.py",
"type": "Python"
} | """Test Cassandra functionality."""
import asyncio
import json
import math
import os
import time
from contextlib import asynccontextmanager, contextmanager
from typing import (
Any,
AsyncGenerator,
Generator,
Iterable,
List,
Optional,
Tuple,
Union,
)
import pytest
from langchain_core.d... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@integration_tests@vectorstores@test_cassandra.py@.PATH_END.py |
{
"filename": "drs_lang.py",
"repo_name": "njcuk9999/apero-drs",
"repo_path": "apero-drs_extracted/apero-drs-main/apero/lang/core/drs_lang.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Language database functionality
Created on 2020-11-2020-11-13 10:41
@author: cook
# import rules
only from:
- apero.base.base
- apero.base.drs_base
- apero.base.drs_db
"""
import os
import shutil
from typing import Any, Dict, List, Union
import numpy a... | njcuk9999REPO_NAMEapero-drsPATH_START.@apero-drs_extracted@apero-drs-main@apero@lang@core@drs_lang.py@.PATH_END.py |
{
"filename": "mu_velfields.py",
"repo_name": "kapteyn-astro/kapteyn",
"repo_path": "kapteyn_extracted/kapteyn-master/doc/source/EXAMPLES/mu_velfields.py",
"type": "Python"
} | #!/usr/bin/env python
from kapteyn import wcsgrat, maputils
from matplotlib import pylab as plt
import numpy
# Create a maputils FITS object from a FITS file on disk
fitsobject = maputils.FITSimage(promptfie=maputils.prompt_fitsfile)
fitsobject.set_imageaxes(promptfie=maputils.prompt_imageaxes)
fitsobject.set_limit... | kapteyn-astroREPO_NAMEkapteynPATH_START.@kapteyn_extracted@kapteyn-master@doc@source@EXAMPLES@mu_velfields.py@.PATH_END.py |
{
"filename": "_side.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolargl/marker/colorbar/title/_side.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="side",
parent_name="scatterpolargl.marker.colorbar.title",
**kwargs
):
super(SideValidator, self).__init__(
plotly_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolargl@marker@colorbar@title@_side.py@.PATH_END.py |
{
"filename": "test_RHT_timings.py",
"repo_name": "mjuvela/ISM",
"repo_path": "ISM_extracted/ISM-master/TM/test_RHT_timings.py",
"type": "Python"
} | import os, sys
ISM_DIRECTORY = os.path.expanduser('~/GITHUB')
try:
ISM_DIRECTORY = os.environ(['ISM_DIRECTORY'])
except:
pass
sys.path.append(ISM_DIRECTORY)
import ISM.Defs
from ISM.FITS.FITS import *
from scipy.ndimage import zoom
from ISM.TM.Pattern import RollingHoughTransformBasic
# set the direc... | mjuvelaREPO_NAMEISMPATH_START.@ISM_extracted@ISM-master@TM@test_RHT_timings.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "AMReX-Astro/Castro",
"repo_path": "Castro_extracted/Castro-main/Exec/science/flame/flame_wave_tests/triple_alpha_plus_cago/README.md",
"type": "Markdown"
} | These files go together with the boosted flame for the `flame_wave`
problem. You should compile with the `triple_alpha_plus_cago`
network.
| AMReX-AstroREPO_NAMECastroPATH_START.@Castro_extracted@Castro-main@Exec@science@flame@flame_wave_tests@triple_alpha_plus_cago@README.md@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/LensModel/LineOfSight/LOSModels/__init__.py",
"type": "Python"
} | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@LensModel@LineOfSight@LOSModels@__init__.py@.PATH_END.py | |
{
"filename": "releases.py",
"repo_name": "sdss/marvin",
"repo_path": "marvin_extracted/marvin-main/python/marvin/utils/datamodel/vacs/releases.py",
"type": "Python"
} | # !usr/bin/env python
# -*- coding: utf-8 -*-
#
# Licensed under a 3-clause BSD license.
#
# @Author: Brian Cherinka
# @Date: 2018-07-17 23:36:37
# @Last modified by: Brian Cherinka
# @Last Modified time: 2018-07-19 15:44:42
from __future__ import print_function, division, absolute_import
from collections import ... | sdssREPO_NAMEmarvinPATH_START.@marvin_extracted@marvin-main@python@marvin@utils@datamodel@vacs@releases.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/funnel/outsidetextfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="funnel.outsidetextfont", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@funnel@outsidetextfont@_variant.py@.PATH_END.py |
{
"filename": "class_lmv.py",
"repo_name": "radio-astro-tools/spectral-cube",
"repo_path": "spectral-cube_extracted/spectral-cube-master/spectral_cube/io/class_lmv.py",
"type": "Python"
} | import numpy as np
import struct
import warnings
import string
from astropy import log
from astropy.io import registry as io_registry
from ..spectral_cube import BaseSpectralCube
from .fits import load_fits_cube
"""
.. TODO::
When any section length is zero, that means the following values are to be
ignored. ... | radio-astro-toolsREPO_NAMEspectral-cubePATH_START.@spectral-cube_extracted@spectral-cube-master@spectral_cube@io@class_lmv.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "ajshajib/dolphin",
"repo_path": "dolphin_extracted/dolphin-main/docs_test/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | ajshajibREPO_NAMEdolphinPATH_START.@dolphin_extracted@dolphin-main@docs_test@conf.py@.PATH_END.py |
{
"filename": "mntes.py",
"repo_name": "tijmen/dfmux_calc",
"repo_path": "dfmux_calc_extracted/dfmux_calc-main/mntes.py",
"type": "Python"
} | """
Electro-thermal solution for Transition Edge Sensors (TES) read out with DfMux.
Author: Tijmen de Haan
Email: <tijmen.dehaan@gmail.com>
Date: 15 May 2024
This module provides functions for simulating the thermal and electrical behavior of
Transition Edge Sensors (TES) based on the MNTES model. As of May 2024, th... | tijmenREPO_NAMEdfmux_calcPATH_START.@dfmux_calc_extracted@dfmux_calc-main@mntes.py@.PATH_END.py |
{
"filename": "dunne2009.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/input/litdata/dunne2009.py",
"type": "Python"
} | """
Dunne, L., et al. 2009, MNRAS, 394, 3
http://arxiv.org/abs/0808.3139v2
For ssfr, values are corrected as seen in Behroozi et al. 2013 (http://arxiv.org/abs/1207.6105), Table 4, for I (Initial Mass Function) corrections.
"""
import numpy as np
info = \
{
'reference':'Dunne, L., et al. 2009, MNRAS, 394, 3',
'da... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@input@litdata@dunne2009.py@.PATH_END.py |
{
"filename": "test_flexionfg.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_LensModel/test_Profiles/test_flexionfg.py",
"type": "Python"
} | __author__ = "ylilan"
from lenstronomy.LensModel.Profiles.flexionfg import Flexionfg
from lenstronomy.LensModel.lens_model import LensModel
import numpy as np
import numpy.testing as npt
import pytest
class TestFlexionfg(object):
"""Tests the Gaussian methods."""
def setup_method(self):
self.flex ... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_LensModel@test_Profiles@test_flexionfg.py@.PATH_END.py |
{
"filename": "binding.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/datamodel/binding.py",
"type": "Python"
} | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@datamodel@binding.py@.PATH_END.py | |
{
"filename": "_tickcolor.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/colorbar/_tickcolor.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickcolorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="tickcolor", parent_name="heatmap.colorbar", **kwargs
):
super(TickcolorValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@colorbar@_tickcolor.py@.PATH_END.py |
{
"filename": "acb.py",
"repo_name": "bcalden/ClusterPyXT",
"repo_path": "ClusterPyXT_extracted/ClusterPyXT-master/acb.py",
"type": "Python"
} | import cluster
import pypeline_io as io
import numpy as np
import time
import argparse
import data_operations as do
from astropy.io import fits
import multiprocessing as mp
import ciao_contrib.runtool as rt
import ciao
from tqdm import tqdm
def get_arguments():
help_str = """
This part of the pypeline creates ... | bcaldenREPO_NAMEClusterPyXTPATH_START.@ClusterPyXT_extracted@ClusterPyXT-master@acb.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "ConorMacBride/mcalf",
"repo_path": "mcalf_extracted/mcalf-main/src/mcalf/utils/plot.py",
"type": "Python"
} | import astropy.units
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
from packaging import version
__all__ = ['hide_existing_labels', 'calculate_axis_extent', 'calculate_extent', 'class_cmap']
def _get_mpl_cmap(name):
if version.parse(mpl.__version__) >= version.parse("3.5"):
... | ConorMacBrideREPO_NAMEmcalfPATH_START.@mcalf_extracted@mcalf-main@src@mcalf@utils@plot.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/barpolar/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="barpolar", **kwargs):
super(OpacityValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@barpolar@_opacity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/vo/validator/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
from ... import config as _config
from ...utils.data import get_pkg_data_contents
# NOTE: This is deprecated along with other Cone Search stuff, but it feels
# weird for config item to be issuing deprecation warnings.
class Conf(_confi... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@vo@validator@__init__.py@.PATH_END.py |
{
"filename": "base_pipeline.py",
"repo_name": "MichelleLochner/astronomaly",
"repo_path": "astronomaly_extracted/astronomaly-main/astronomaly/base/base_pipeline.py",
"type": "Python"
} | from astronomaly.base import logging_tools
from os import path
import pandas as pd
import numpy as np
from pandas.util import hash_pandas_object
import time
class PipelineStage(object):
def __init__(self, *args, **kwargs):
"""
Base class defining functionality for all pipeline stages. To
c... | MichelleLochnerREPO_NAMEastronomalyPATH_START.@astronomaly_extracted@astronomaly-main@astronomaly@base@base_pipeline.py@.PATH_END.py |
{
"filename": "test_simulation.py",
"repo_name": "dmentipl/plonk",
"repo_path": "plonk_extracted/plonk-main/tests/test_simulation.py",
"type": "Python"
} | """Testing Simulation."""
from pathlib import Path
import numpy as np
import pytest
import plonk
DIR_PATH = Path(__file__).parent / 'data/phantom'
PREFIX = 'dustseparate'
TS_FILENAME = 'dustseparate01.ev'
def test_init_simulation():
"""Testing initialising simulation."""
plonk.load_simulation(prefix=PREFI... | dmentiplREPO_NAMEplonkPATH_START.@plonk_extracted@plonk-main@tests@test_simulation.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/insidetextfont/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._variant import VariantValidator
from ._textcase import TextcaseValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._shadow impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram@insidetextfont@__init__.py@.PATH_END.py |
{
"filename": "flatiter.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/typing/tests/data/pass/flatiter.py",
"type": "Python"
} | import numpy as np
a = np.empty((2, 2)).flat
a.base
a.copy()
a.coords
a.index
iter(a)
next(a)
a[0]
a[[0, 1, 2]]
a[...]
a[:]
a.__array__()
a.__array__(np.dtype(np.float64))
| numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@typing@tests@data@pass@flatiter.py@.PATH_END.py |
{
"filename": "cde_loss.py",
"repo_name": "lee-group-cmu/cdetools",
"repo_path": "cdetools_extracted/cdetools-master/python/src/cdetools/cde_loss.py",
"type": "Python"
} | import numpy as np
from scipy.spatial import KDTree
def cde_loss(cde_estimates, z_grid, z_test):
"""
Calculates conditional density estimation loss on holdout data
@param cde_estimates: a numpy array where each row is a density
estimate on z_grid
@param z_grid: a numpy array of the grid points at... | lee-group-cmuREPO_NAMEcdetoolsPATH_START.@cdetools_extracted@cdetools-master@python@src@cdetools@cde_loss.py@.PATH_END.py |
{
"filename": "test_jplspec_remote.py",
"repo_name": "astropy/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/jplspec/tests/test_jplspec_remote.py",
"type": "Python"
} | import pytest
from astropy import units as u
from astropy.table import Table
from ...jplspec import JPLSpec
@pytest.mark.remote_data
def test_remote():
tbl = JPLSpec.query_lines(min_frequency=500 * u.GHz,
max_frequency=1000 * u.GHz,
min_strength=-500,
... | astropyREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@jplspec@tests@test_jplspec_remote.py@.PATH_END.py |
{
"filename": "_tickvals.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/coloraxis/colorbar/_tickvals.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(
self, plotly_name="tickvals", parent_name="layout.coloraxis.colorbar", **kwargs
):
super(TickvalsValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@coloraxis@colorbar@_tickvals.py@.PATH_END.py |
{
"filename": "calc_k_coeffs.py",
"repo_name": "ideasrule/platon",
"repo_path": "platon_extracted/platon-master/misc/calc_k_coeffs.py",
"type": "Python"
} | import scipy.special
import numpy as np
import sys
import matplotlib.pyplot as plt
def get_k_coeffs(absorb_coeffs, binsize=200, n_gauss=10):
points, weights = scipy.special.roots_legendre(n_gauss)
percentiles = 100 * (points + 1) / 2
k_coeffs = []
for i in range(absorb_coeffs.shape[2] // binsize):
... | ideasruleREPO_NAMEplatonPATH_START.@platon_extracted@platon-master@misc@calc_k_coeffs.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/image/hoverlabel/font/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="image.hoverlabel.font", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@image@hoverlabel@font@_variant.py@.PATH_END.py |
{
"filename": "evolution.py",
"repo_name": "astropy/SPISEA",
"repo_path": "SPISEA_extracted/SPISEA-main/spisea/evolution.py",
"type": "Python"
} | import math
import logging
from numpy import genfromtxt
import numpy as np
import os
import glob
import pdb
import warnings
from astropy.table import Table, vstack, Column
from scipy import interpolate
import pylab as py
from spisea.utils import objects
from spisea import exceptions
logger = logging.getLogger('evoluti... | astropyREPO_NAMESPISEAPATH_START.@SPISEA_extracted@SPISEA-main@spisea@evolution.py@.PATH_END.py |
{
"filename": "ConcurrentMpiCosmoHammerSampler.py",
"repo_name": "JulianBMunoz/21cmvFAST",
"repo_path": "21cmvFAST_extracted/21cmvFAST-master/public_21CMvFAST_MC/Programs/CosmoHammer_21CMMC/sampler/ConcurrentMpiCosmoHammerSampler.py",
"type": "Python"
} |
from .MpiCosmoHammerSampler import MpiCosmoHammerSampler
import multiprocessing
class ConcurrentMpiCosmoHammerSampler(MpiCosmoHammerSampler):
"""
A sampler implementation extending the mpi sampler in order to allow to
distribute the computation with MPI and using multiprocessing on a single node.
:... | JulianBMunozREPO_NAME21cmvFASTPATH_START.@21cmvFAST_extracted@21cmvFAST-master@public_21CMvFAST_MC@Programs@CosmoHammer_21CMMC@sampler@ConcurrentMpiCosmoHammerSampler.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ratt-ru/montblanc",
"repo_path": "montblanc_extracted/montblanc-master/montblanc/impl/rime/tensorflow/helpers/__init__.py",
"type": "Python"
} | ratt-ruREPO_NAMEmontblancPATH_START.@montblanc_extracted@montblanc-master@montblanc@impl@rime@tensorflow@helpers@__init__.py@.PATH_END.py | |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymap/colorbar/title/font/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="densitymap.colorbar.title.font",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymap@colorbar@title@font@_lineposition.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/semi_supervised/tests/__init__.py",
"type": "Python"
} | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@semi_supervised@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_filestorage_io.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/modules/python/test/test_filestorage_io.py",
"type": "Python"
} | #!/usr/bin/env python
"""Algorithm serialization test."""
from __future__ import print_function
import base64
import json
import tempfile
import os
import cv2 as cv
import numpy as np
from tests_common import NewOpenCVTests
class MyData:
def __init__(self):
self.A = 97
self.X = np.pi
self.n... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@modules@python@test@test_filestorage_io.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/tools/json/__init__.py",
"type": "Python"
} | """Tools for interacting with a JSON file."""
| langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@tools@json@__init__.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "martenlourens/pySDR",
"repo_path": "pySDR_extracted/pySDR-master/python/sphinx/source/conf.py",
"type": "Python"
} | # If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here.
import pathlib
import sys
sys.path.insert(1, pathlib.Path(__file__).parents[2].resolve().as_posix())
# Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in con... | martenlourensREPO_NAMEpySDRPATH_START.@pySDR_extracted@pySDR-master@python@sphinx@source@conf.py@.PATH_END.py |
{
"filename": "compiler.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipykernel/py3/ipykernel/compiler.py",
"type": "Python"
} | """Compiler helpers for the debugger."""
import os
import sys
import tempfile
from IPython.core.compilerop import CachingCompiler
def murmur2_x86(data, seed):
"""Get the murmur2 hash."""
m = 0x5BD1E995
data = [chr(d) for d in str.encode(data, "utf8")]
length = len(data)
h = seed ^ length
roun... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipykernel@py3@ipykernel@compiler.py@.PATH_END.py |
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