metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "chap2.md",
"repo_name": "federicomarulli/CosmoBolognaLib",
"repo_path": "CosmoBolognaLib_extracted/CosmoBolognaLib-master/External/CLASS/doc/input/chap2.md",
"type": "Markdown"
} | Where to find information and documentation on CLASS?
======================================================
Author: Julien Lesgourgues
* __For what the code can actually compute__: all possible input parameters, all coded cosmological models, all functionalities, all observables, etc.: read the file `explanatory.in... | federicomarulliREPO_NAMECosmoBolognaLibPATH_START.@CosmoBolognaLib_extracted@CosmoBolognaLib-master@External@CLASS@doc@input@chap2.md@.PATH_END.py |
{
"filename": "_visible.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/error_y/_visible.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VisibleValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="visible", parent_name="scattergl.error_y", **kwargs
):
super(VisibleValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@error_y@_visible.py@.PATH_END.py |
{
"filename": "_fill.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/volume/caps/y/_fill.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FillValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fill", parent_name="volume.caps.y", **kwargs):
super(FillValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
e... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@volume@caps@y@_fill.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/nannyml/plots/blueprints/__init__.py",
"type": "Python"
} | # Author: Niels Nuyttens <niels@nannyml.com>
# #
# License: Apache Software License 2.0
| NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@nannyml@plots@blueprints@__init__.py@.PATH_END.py |
{
"filename": "tensor_utils.py",
"repo_name": "freelunchtheorem/Conditional_Density_Estimation",
"repo_path": "Conditional_Density_Estimation_extracted/Conditional_Density_Estimation-master/cde/utils/tf_utils/tensor_utils.py",
"type": "Python"
} | import operator
import numpy as np
def flatten_tensors(tensors):
if len(tensors) > 0:
return np.concatenate([np.reshape(x, [-1]) for x in tensors])
else:
return np.asarray([])
def unflatten_tensors(flattened, tensor_shapes):
tensor_sizes = list(map(int, map(np.prod, tensor_shapes)))
i... | freelunchtheoremREPO_NAMEConditional_Density_EstimationPATH_START.@Conditional_Density_Estimation_extracted@Conditional_Density_Estimation-master@cde@utils@tf_utils@tensor_utils.py@.PATH_END.py |
{
"filename": "_bgcolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/cone/hoverlabel/_bgcolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BgcolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bgcolorsrc", parent_name="cone.hoverlabel", **kwargs
):
super(BgcolorsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@cone@hoverlabel@_bgcolorsrc.py@.PATH_END.py |
{
"filename": "load.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/fast/load.py",
"type": "Python"
} | import logging
from pyspedas.utilities.dailynames import dailynames
from pyspedas.utilities.download import download
from pytplot import time_clip as tclip
from pytplot import cdf_to_tplot
from .config import CONFIG
def load(
trange=["1996-12-01", "1996-12-02"],
instrument="dcf",
datatype="",
level="... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@fast@load.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/mesh3d/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="showticksuffix", parent_name="mesh3d.colorbar", **kwargs
):
super(ShowticksuffixValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@mesh3d@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "test_ui_url.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/events/jinja_filters/test_ui_url.py",
"type": "Python"
} | from datetime import timedelta
from uuid import uuid4
import jinja2
import pytest
from pendulum import DateTime
from prefect.events.schemas.events import ReceivedEvent, Resource
from prefect.server.events.jinja_filters import ui_url
from prefect.server.events.schemas.automations import Automation, EventTrigger, Postu... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@events@jinja_filters@test_ui_url.py@.PATH_END.py |
{
"filename": "test_ellipsoid.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/data_objects/tests/test_ellipsoid.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_array_less
from yt.testing import fake_random_ds
def setup():
from yt.config import ytcfg
ytcfg["yt", "log_level"] = 50
ytcfg["yt", "internals", "within_testing"] = True
def _difference(x1, x2, dw):
rel = x1 - x2
rel[rel > dw / 2.0] -= dw
... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@data_objects@tests@test_ellipsoid.py@.PATH_END.py |
{
"filename": "plot2d.py",
"repo_name": "treecode/Bonsai",
"repo_path": "Bonsai_extracted/Bonsai-master/tools/density_estimator/plot2d.py",
"type": "Python"
} | import sys
import os
import numpy as np
import matplotlib.pylab as plt
import math
def plot2D(x, y, z, zmin= None, zmax= None, xlim=None, ylim=None, nx = 200, ny = 200):
if zmin == None:
zmin = min(z)
if zmax == None:
zmax = max(z)
for i in range(len(z)):
z[i] = min(z[i], zmax)
z[i] = max(z[i]... | treecodeREPO_NAMEBonsaiPATH_START.@Bonsai_extracted@Bonsai-master@tools@density_estimator@plot2d.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "mikecokina/elisa",
"repo_path": "elisa_extracted/elisa-master/src/elisa/analytics/params/conf.py",
"type": "Python"
} | import numpy as np
from astropy.time import Time
from ... import units as u
from ... atm import atm_file_prefix_to_quantity_list
from ... import settings
PARAM_PARSER = '@'
NUISANCE_PARSER = 'nuisance'
TEMPERATURES = atm_file_prefix_to_quantity_list("temperature", settings.ATM_ATLAS)
METALLICITY = atm_file_prefix_t... | mikecokinaREPO_NAMEelisaPATH_START.@elisa_extracted@elisa-master@src@elisa@analytics@params@conf.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "n-claes/legolas",
"repo_path": "legolas_extracted/legolas-master/post_processing/pylbo/utilities/datfiles/__init__.py",
"type": "Python"
} | n-claesREPO_NAMElegolasPATH_START.@legolas_extracted@legolas-master@post_processing@pylbo@utilities@datfiles@__init__.py@.PATH_END.py | |
{
"filename": "utils.py",
"repo_name": "DifferentiableUniverseInitiative/sbi_lens",
"repo_path": "sbi_lens_extracted/sbi_lens-main/sbi_lens/simulator/utils.py",
"type": "Python"
} | import itertools
from functools import partial
from pathlib import Path
import astropy.units as u
import jax
import jax.numpy as jnp
import jax_cosmo as jc
import numpy as np
import numpyro
import numpyro.distributions as dist
import tensorflow_probability as tfp
from lenstools import ConvergenceMap
from numpyro impor... | DifferentiableUniverseInitiativeREPO_NAMEsbi_lensPATH_START.@sbi_lens_extracted@sbi_lens-main@sbi_lens@simulator@utils.py@.PATH_END.py |
{
"filename": "_namelengthsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymap/hoverlabel/_namelengthsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NamelengthsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="namelengthsrc", parent_name="densitymap.hoverlabel", **kwargs
):
super(NamelengthsrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@densitymap@hoverlabel@_namelengthsrc.py@.PATH_END.py |
{
"filename": "maximum_mass.py",
"repo_name": "nuclear-multimessenger-astronomy/nmma",
"repo_path": "nmma_extracted/nmma-main/nmma/tests/maximum_mass.py",
"type": "Python"
} | from argparse import Namespace
import os
from pathlib import Path
import pytest
from ..joint import maximum_mass_constraint
@pytest.fixture(scope="module")
def args():
workingDir = os.path.dirname(__file__)
dataDir = os.path.join(workingDir, "data")
priorDir = Path(__file__).resolve().parent.parent.paren... | nuclear-multimessenger-astronomyREPO_NAMEnmmaPATH_START.@nmma_extracted@nmma-main@nmma@tests@maximum_mass.py@.PATH_END.py |
{
"filename": "ArithmeticFieldList_PYB11.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/FieldList/ArithmeticFieldList_PYB11.py",
"type": "Python"
} | """
Spheral ArithmeticFieldList module.
Provides the ArithmeticFieldList classes.
"""
from PYB11Generator import *
from SpheralCommon import *
from spheralDimensions import *
dims = spheralDimensions()
from ArithmeticFieldList import *
from MinMaxFieldList import *
#-------------------------------------------------... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@FieldList@ArithmeticFieldList_PYB11.py@.PATH_END.py |
{
"filename": "baseconfig.py",
"repo_name": "SBU-COSMOLIKE/CAMBLateDE",
"repo_path": "CAMBLateDE_extracted/CAMBLateDE-main/build/lib/camb/baseconfig.py",
"type": "Python"
} | import os
import os.path as osp
import sys
import platform
import ctypes
from ctypes import Structure, POINTER, byref, c_int, c_double, c_bool, c_float
from numpy.ctypeslib import ndpointer
import numpy as np
def ndpointer_or_null(*args, **kwargs):
# allows passing None to fortran optional arguments
# from ht... | SBU-COSMOLIKEREPO_NAMECAMBLateDEPATH_START.@CAMBLateDE_extracted@CAMBLateDE-main@build@lib@camb@baseconfig.py@.PATH_END.py |
{
"filename": "example_IFS.py",
"repo_name": "SAIL-Labs/AMICAL",
"repo_path": "AMICAL_extracted/AMICAL-main/doc/example_IFS.py",
"type": "Python"
} | """
@author: Anthony Soulain (UGA - IPAG)
-------------------------------------------------------------------------
AMICAL: Aperture Masking Interferometry Calibration and Analysis Library
-------------------------------------------------------------------------
In this example, we provide a way to clean and extract ... | SAIL-LabsREPO_NAMEAMICALPATH_START.@AMICAL_extracted@AMICAL-main@doc@example_IFS.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/ChiantiPy/core/tests/__init__.py",
"type": "Python"
} | tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@ChiantiPy@core@tests@__init__.py@.PATH_END.py | |
{
"filename": "_lenmode.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/marker/colorbar/_lenmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="lenmode", parent_name="icicle.marker.colorbar", **kwargs
):
super(LenmodeValidator, self).__init__(
plotly_name=plotly_name,
pa... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@icicle@marker@colorbar@_lenmode.py@.PATH_END.py |
{
"filename": "test_dtype.py",
"repo_name": "scikit-image/scikit-image",
"repo_path": "scikit-image_extracted/scikit-image-main/skimage/util/tests/test_dtype.py",
"type": "Python"
} | import numpy as np
import itertools
from skimage import (
img_as_float,
img_as_float32,
img_as_float64,
img_as_int,
img_as_uint,
img_as_ubyte,
)
from skimage.util.dtype import _convert
from skimage._shared._warnings import expected_warnings
from skimage._shared import testing
from skimage._shar... | scikit-imageREPO_NAMEscikit-imagePATH_START.@scikit-image_extracted@scikit-image-main@skimage@util@tests@test_dtype.py@.PATH_END.py |
{
"filename": "watchlists.md",
"repo_name": "lsst-uk/lasair-lsst",
"repo_path": "lasair-lsst_extracted/lasair-lsst-main/docs/source/core_functions/watchlists.md",
"type": "Markdown"
} | # Watchlists
A watchlist is a set of points in the sky, together with a radius in arcseconds, which
can be the same for all sources, or different for each.
It is assumed to be a list of "interesting" sources, so that any transient that
falls within the radius of one of the sources might indicate activity of that so... | lsst-ukREPO_NAMElasair-lsstPATH_START.@lasair-lsst_extracted@lasair-lsst-main@docs@source@core_functions@watchlists.md@.PATH_END.py |
{
"filename": "builtin_surface.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/sources/builtin_surface.py",
"type": "Python"
} | """ A module that allows a user to create one of several standard VTK
poly data sources.
"""
#Author: Suyog Dutt Jain <suyog.jain@aero.iitb.ac.in>
# Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2008, Enthought, Inc.
# License: BSD Style.
# Enthought library imports.
from traits.api import Insta... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@sources@builtin_surface.py@.PATH_END.py |
{
"filename": "_sizesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/hoverlabel/font/_sizesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="sizesrc", parent_name="scatter.hoverlabel.font", **kwargs
):
super(SizesrcValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter@hoverlabel@font@_sizesrc.py@.PATH_END.py |
{
"filename": "_borderwidth.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/colorbar/_borderwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="borderwidth",
parent_name="scattercarpet.marker.colorbar",
**kwargs
):
super(BorderwidthValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@colorbar@_borderwidth.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatterpolar/marker/gradient/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._typesrc import TypesrcValidator
from ._type import TypeValidator
from ._colorsrc import ColorsrcValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatterpolar@marker@gradient@__init__.py@.PATH_END.py |
{
"filename": "_tickvalssrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/ternary/aaxis/_tickvalssrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickvalssrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="tickvalssrc", parent_name="layout.ternary.aaxis", **kwargs
):
super(TickvalssrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@ternary@aaxis@_tickvalssrc.py@.PATH_END.py |
{
"filename": "test_analytic_kinematics.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/test/test_GalKin/test_analytic_kinematics.py",
"type": "Python"
} | import pytest
from lenstronomy.GalKin.analytic_kinematics import AnalyticKinematics
import numpy as np
from lenstronomy.GalKin.numeric_kinematics import NumericKinematics
from astropy.cosmology import FlatLambdaCDM
import numpy.testing as npt
class TestAnalyticKinematics(object):
def setup_method(self):
p... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@test@test_GalKin@test_analytic_kinematics.py@.PATH_END.py |
{
"filename": "_thickness.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/mesh3d/colorbar/_thickness.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="thickness", parent_name="mesh3d.colorbar", **kwargs
):
super(ThicknessValidator, self).__init__(
plotly_name=plotly_name,
parent_... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@mesh3d@colorbar@_thickness.py@.PATH_END.py |
{
"filename": "test_npairs_3d.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/pair_counters/test_pair_counters/test_npairs_3d.py",
"type": "Python"
} | """
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
import pytest
from astropy.utils.misc import NumpyRNGContext
from pathlib import Path
from ..npairs_3d import npairs_3d
from ..pairs import npairs as pure_python_brute_force_npairs_3d
from ...tests.cf_helper... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@pair_counters@test_pair_counters@test_npairs_3d.py@.PATH_END.py |
{
"filename": "_california_housing.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/datasets/_california_housing.py",
"type": "Python"
} | """California housing dataset.
The original database is available from StatLib
http://lib.stat.cmu.edu/datasets/
The data contains 20,640 observations on 9 variables.
This dataset contains the average house value as target variable
and the following input variables (features): average income,
housing average ag... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@datasets@_california_housing.py@.PATH_END.py |
{
"filename": "hist_mutual.py",
"repo_name": "rodluger/planetplanet",
"repo_path": "planetplanet_extracted/planetplanet-master/scripts/hist_mutual.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
hist_mutual.py |github|
-----------------------
Histograms of the mutual transit events in TRAPPIST-1. Shows histograms
of the fractional depth and duration of these events for all pairs of
planets.
TRAPPIST-1b
~~~~~~~~~~~
.. image:: /b_mutual.jpg
:width... | rodlugerREPO_NAMEplanetplanetPATH_START.@planetplanet_extracted@planetplanet-master@scripts@hist_mutual.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "mamartinod/grip",
"repo_path": "grip_extracted/grip-main/setup.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name='grip-nulling',
version='1.5.0',
author='M.-A. Martinod',
description='Self-calibration data reduction tools for nulling interferometry',
long_description='GRIP is a novel data reduction methods provi... | mamartinodREPO_NAMEgripPATH_START.@grip_extracted@grip-main@setup.py@.PATH_END.py |
{
"filename": "object_registration.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/saving/object_registration.py",
"type": "Python"
} | import inspect
from keras.src.api_export import keras_export
from keras.src.backend.common import global_state
GLOBAL_CUSTOM_OBJECTS = {}
GLOBAL_CUSTOM_NAMES = {}
@keras_export(
[
"keras.saving.CustomObjectScope",
"keras.saving.custom_object_scope",
"keras.utils.CustomObjectScope",
... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@saving@object_registration.py@.PATH_END.py |
{
"filename": "stis_reduction-wasp-121b-paper.ipynb",
"repo_name": "natalieallen/stis_pipeline",
"repo_path": "stis_pipeline_extracted/stis_pipeline-main/stis_reduction-wasp-121b-paper.ipynb",
"type": "Jupyter Notebook"
} | ```python
from STIS_pipeline_functions import *
```
```python
# read in data and calibration files - the test directory I have has
# two different instruments so I just quickly sort those
data_files_430 = sorted(glob.glob("wasp-121/HST/G430L/*/*flt.fits"))
data_files_750 = sorted(glob.glob("wasp-121/HST/G750L/*/*flt... | natalieallenREPO_NAMEstis_pipelinePATH_START.@stis_pipeline_extracted@stis_pipeline-main@stis_reduction-wasp-121b-paper.ipynb@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "desihub/redrock",
"repo_path": "redrock_extracted/redrock-main/doc/conf.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#
# redrock documentation build configuration file, created by
# sphinx-quickstart on Tue Dec 9 10:43:33 2014.
#
# This file is execfile()d with the current directory set to its
# containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# A... | desihubREPO_NAMEredrockPATH_START.@redrock_extracted@redrock-main@doc@conf.py@.PATH_END.py |
{
"filename": "copy_script.py",
"repo_name": "ThibeauWouters/TurboPE-BNS",
"repo_path": "TurboPE-BNS_extracted/TurboPE-BNS-main/JS_estimate/GW170817_TaylorF2/varied_runs/outdir/68916/copy_script.py",
"type": "Python"
} | import psutil
p = psutil.Process()
p.cpu_affinity([0])
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "3"
os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10"
from jimgw.jim import Jim
from jimgw.single_event.detector import H1, L1, V1
from jimgw.single_event.likelihood import HeterodynedTransientLikelihoodFD
from ji... | ThibeauWoutersREPO_NAMETurboPE-BNSPATH_START.@TurboPE-BNS_extracted@TurboPE-BNS-main@JS_estimate@GW170817_TaylorF2@varied_runs@outdir@68916@copy_script.py@.PATH_END.py |
{
"filename": "_x.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergl/marker/colorbar/_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="x", parent_name="scattergl.marker.colorbar", **kwargs
):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergl@marker@colorbar@_x.py@.PATH_END.py |
{
"filename": "dataset_utils.py",
"repo_name": "pyDANDIA/pyDANDIA",
"repo_path": "pyDANDIA_extracted/pyDANDIA-main/pyDANDIA/dataset_utils.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 7 14:39:29 2019
@author: rstreet
"""
import pipeline_setup
from os import path
class DataCollection:
"""Class describing a collection of datasets for a single field pointing"""
def __init__(self):
self.primary_ref = None
self.red_dir = None
... | pyDANDIAREPO_NAMEpyDANDIAPATH_START.@pyDANDIA_extracted@pyDANDIA-main@pyDANDIA@dataset_utils.py@.PATH_END.py |
{
"filename": "test_variable.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/cli/test_variable.py",
"type": "Python"
} | import sys
import pytest
from sqlalchemy.ext.asyncio import AsyncSession
from typer import Exit
from prefect.server.models.variables import create_variable
from prefect.server.schemas.actions import VariableCreate
from prefect.testing.cli import invoke_and_assert
@pytest.fixture(autouse=True)
def interactive_consol... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@cli@test_variable.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "facebookresearch/faiss",
"repo_path": "faiss_extracted/faiss-main/contrib/README.md",
"type": "Markdown"
} |
# The contrib modules
The contrib directory contains helper modules for Faiss for various tasks.
## Code structure
The contrib directory gets compiled in the module faiss.contrib.
Note that although some of the modules may depend on additional modules (eg. GPU Faiss, pytorch, hdf5), they are not necessarily compile... | facebookresearchREPO_NAMEfaissPATH_START.@faiss_extracted@faiss-main@contrib@README.md@.PATH_END.py |
{
"filename": "mv-processing-methods.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage-missing-values/mv-processing-methods.md",
"type": "Markdown"
} | - "Forbidden" — Missing values are not supported, their presence is interpreted as an error.
- "Min" — Missing values are processed as the minimum value (less than all other values) for the feature. It is guaranteed that a split that separates missing values from all other values is considered when selecting trees.
- "... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage-missing-values@mv-processing-methods.md@.PATH_END.py |
{
"filename": "cldf.py",
"repo_name": "CosmoLike/cocoa",
"repo_path": "cocoa_extracted/cocoa-main/Cocoa/external_modules/code/planck/code/plc_3.0/plc-3.1/src/python/clik/cldf.py",
"type": "Python"
} | import os
import os.path as osp
import shutil as shu
try:
from astropy.io import fits as pf
except ImportError as e:
# try pyfits then
import pyfits as pf
import re
import numpy as nm
def pack256(*li):
rr=""
for l in li:
rr += l+'\0'*(256-len(l))
return rr
def is_cldf(name):
f = open(name)
try... | CosmoLikeREPO_NAMEcocoaPATH_START.@cocoa_extracted@cocoa-main@Cocoa@external_modules@code@planck@code@plc_3.0@plc-3.1@src@python@clik@cldf.py@.PATH_END.py |
{
"filename": "modspeclist.py",
"repo_name": "spacetelescope/hstaxe",
"repo_path": "hstaxe_extracted/hstaxe-main/hstaxe/axesim/modspeclist.py",
"type": "Python"
} | """
See LICENSE.txt
"""
import os
import sys
import math
from astropy.io import fits
from stwcs.wcsutil import HSTWCS
from hstaxe.axeerror import aXeSIMError
from hstaxe.axesrc.axeiol import InputObjectList
class MagColList(InputObjectList):
"""Subclass for lists with magnitude columns
This class loads ASCII ... | spacetelescopeREPO_NAMEhstaxePATH_START.@hstaxe_extracted@hstaxe-main@hstaxe@axesim@modspeclist.py@.PATH_END.py |
{
"filename": "everest.py",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/src/lightkurve/io/everest.py",
"type": "Python"
} | """Reader for K2 EVEREST light curves."""
from ..lightcurve import KeplerLightCurve
from ..utils import KeplerQualityFlags
from .generic import read_generic_lightcurve
def read_everest_lightcurve(
filename, flux_column="flux", quality_bitmask="default", **kwargs
):
"""Read an EVEREST light curve file.
M... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@src@lightkurve@io@everest.py@.PATH_END.py |
{
"filename": "gfall.py",
"repo_name": "tardis-sn/carsus",
"repo_path": "carsus_extracted/carsus-master/carsus/io/kurucz/gfall.py",
"type": "Python"
} | import re
import logging
import numpy as np
import pandas as pd
from carsus.util import parse_selected_species
from carsus.io.util import read_from_buffer
CARSUS_DATA_GFALL_URL = "https://github.com/tardis-sn/carsus-data-kurucz/raw/main/linelists/gfall/gfall.dat?raw=true"
GFALL_AIR_THRESHOLD = 200 # [nm], wavelength... | tardis-snREPO_NAMEcarsusPATH_START.@carsus_extracted@carsus-master@carsus@io@kurucz@gfall.py@.PATH_END.py |
{
"filename": "test_config.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/analysis/tests/test_config.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from pathlib import Path
import pytest
from astropy.coordinates import Angle
from astropy.time import Time
from astropy.units import Quantity
from pydantic import ValidationError
from gammapy.analysis.config import AnalysisConfig, GeneralConfig
from gammap... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@analysis@tests@test_config.py@.PATH_END.py |
{
"filename": "_measure.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/waterfall/_measure.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MeasureValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="measure", parent_name="waterfall", **kwargs):
super(MeasureValidator, 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@waterfall@_measure.py@.PATH_END.py |
{
"filename": "test_compile.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/chroma/tests/integration_tests/test_compile.py",
"type": "Python"
} | import pytest # type: ignore[import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
| langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@chroma@tests@integration_tests@test_compile.py@.PATH_END.py |
{
"filename": "2-1-combining-multiple-quarters.ipynb",
"repo_name": "lightkurve/lightkurve",
"repo_path": "lightkurve_extracted/lightkurve-main/docs/source/tutorials/2-creating-light-curves/2-1-combining-multiple-quarters.ipynb",
"type": "Jupyter Notebook"
} | # Combining multiple quarters of *Kepler* data
## Learning Goals
By the end of this tutorial, you will:
- Understand a *Kepler* Quarter.
- Understand how to download multiple quarters of data at once.
- Learn how to normalize *Kepler* data.
- Understand how to combine multiple quarters of data.
## Introduction
T... | lightkurveREPO_NAMElightkurvePATH_START.@lightkurve_extracted@lightkurve-main@docs@source@tutorials@2-creating-light-curves@2-1-combining-multiple-quarters.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/histogram/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._cumulative import Cumulative
from ._error_x import ErrorX
from ._error_y import ErrorY
from ._hoverlabel import Hoverlabel
from ._insidetextfont import Insidetextfont
from ._legendgrouptitle import... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@histogram@__init__.py@.PATH_END.py |
{
"filename": "_cosmo_interp_astropy_v5.py",
"repo_name": "sibirrer/lenstronomy",
"repo_path": "lenstronomy_extracted/lenstronomy-main/lenstronomy/Cosmo/_cosmo_interp_astropy_v5.py",
"type": "Python"
} | import astropy
from scipy.integrate import quad
if float(astropy.__version__[0]) < 5.0:
Warning(
"This routines are only supported for astropy version >=5. Current version is %s."
% astropy.__version__
)
else:
from astropy.cosmology.utils import vectorize_redshift_method
class CosmoInterp... | sibirrerREPO_NAMElenstronomyPATH_START.@lenstronomy_extracted@lenstronomy-main@lenstronomy@Cosmo@_cosmo_interp_astropy_v5.py@.PATH_END.py |
{
"filename": "pick_on_surface.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/examples/mayavi/data_interaction/pick_on_surface.py",
"type": "Python"
} | """ Example showing how to pick data on a surface, going all the way back
to the index in the numpy arrays.
In this example, two views of the same data are shown. One with the data
on a sphere, the other with the data flat.
We use the 'on_mouse_pick' method of the scene to register a callback on
clicking on the spher... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@examples@mayavi@data_interaction@pick_on_surface.py@.PATH_END.py |
{
"filename": "groups.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/io/fits/hdu/groups.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see PYFITS.rst
import sys
import numpy as np
from astropy.io.fits.column import FITS2NUMPY, ColDefs, Column
from astropy.io.fits.fitsrec import FITS_rec, FITS_record
from astropy.io.fits.util import _is_int, _is_pseudo_integer, _pseudo_zero
from astropy.utils import la... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@io@fits@hdu@groups.py@.PATH_END.py |
{
"filename": "test_queryutils.py",
"repo_name": "sdss/marvin",
"repo_path": "marvin_extracted/marvin-main/tests/tools/test_queryutils.py",
"type": "Python"
} | # !usr/bin/env python2
# -*- coding: utf-8 -*-
#
# Licensed under a 3-clause BSD license.
#
# @Author: Brian Cherinka
# @Date: 2017-05-24 18:27:50
# @Last modified by: Brian Cherinka
# @Last Modified time: 2018-11-16 14:35:44
from __future__ import absolute_import, division, print_function
import itertools
import... | sdssREPO_NAMEmarvinPATH_START.@marvin_extracted@marvin-main@tests@tools@test_queryutils.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/TeleView",
"repo_path": "TeleView_extracted/TeleView-main/tvapi/tvapi/__init__.py",
"type": "Python"
} | simonsobsREPO_NAMETeleViewPATH_START.@TeleView_extracted@TeleView-main@tvapi@tvapi@__init__.py@.PATH_END.py | |
{
"filename": "_text.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/contour/colorbar/title/_text.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="text", parent_name="contour.colorbar.title", **kwargs
):
super(TextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=par... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@contour@colorbar@title@_text.py@.PATH_END.py |
{
"filename": "model.py",
"repo_name": "GijsMulders/epos",
"repo_path": "epos_extracted/epos-master/EPOS/plot/model.py",
"type": "Python"
} | import matplotlib.pyplot as plt
import numpy as np
import scipy.stats
from matplotlib import gridspec
from . import helpers
from EPOS.population import periodradius
from EPOS.fitfunctions import brokenpowerlaw1D
# Kepler obs
# Kepler pdf mass
# kepler pdf radius
# Kepler pdf inner (M/R ??)
fmt_symbol= {'ls':'', 'mar... | GijsMuldersREPO_NAMEeposPATH_START.@epos_extracted@epos-master@EPOS@plot@model.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/gemini_instruments/ghost/tests/__init__.py",
"type": "Python"
} | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@gemini_instruments@ghost@tests@__init__.py@.PATH_END.py | |
{
"filename": "_side.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/line/colorbar/title/_side.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="side", parent_name="scatter3d.line.colorbar.title", **kwargs
):
super(SideValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@line@colorbar@title@_side.py@.PATH_END.py |
{
"filename": "alignment_pixels.py",
"repo_name": "adolliou/euispice_coreg",
"repo_path": "euispice_coreg_extracted/euispice_coreg-main/euispice_coreg/pxlshift/alignment_pixels.py",
"type": "Python"
} | import warnings
import numpy as np
from astropy.io import fits
from ..utils import rectify
from ..utils import c_correlate
from tqdm import tqdm
from ..utils import matrix_transform
import astropy.units as u
from astropy.time import Time
from ..utils import Util
class AlignmentPixels:
def __init__(self, large_f... | adolliouREPO_NAMEeuispice_coregPATH_START.@euispice_coreg_extracted@euispice_coreg-main@euispice_coreg@pxlshift@alignment_pixels.py@.PATH_END.py |
{
"filename": "history_fitting_script.py",
"repo_name": "ArgonneCPAC/diffstar",
"repo_path": "diffstar_extracted/diffstar-main/scripts/history_fitting_script.py",
"type": "Python"
} | """Script to fit Bolshoi or Multidark MAHs with a smooth model."""
import argparse
import os
import subprocess
from time import time
import h5py
import numpy as np
from mpi4py import MPI
from diffstar.data_loaders.load_smah_data import (
BEBOP,
TASSO,
load_bolshoi_data,
load_bolshoi_small_data,
lo... | ArgonneCPACREPO_NAMEdiffstarPATH_START.@diffstar_extracted@diffstar-main@scripts@history_fitting_script.py@.PATH_END.py |
{
"filename": "clearml.py",
"repo_name": "ultralytics/ultralytics",
"repo_path": "ultralytics_extracted/ultralytics-main/ultralytics/utils/callbacks/clearml.py",
"type": "Python"
} | # Ultralytics YOLO 🚀, AGPL-3.0 license
from ultralytics.utils import LOGGER, SETTINGS, TESTS_RUNNING
try:
assert not TESTS_RUNNING # do not log pytest
assert SETTINGS["clearml"] is True # verify integration is enabled
import clearml
from clearml import Task
assert hasattr(clearml, "__version__... | ultralyticsREPO_NAMEultralyticsPATH_START.@ultralytics_extracted@ultralytics-main@ultralytics@utils@callbacks@clearml.py@.PATH_END.py |
{
"filename": "nndc.py",
"repo_name": "tardis-sn/carsus",
"repo_path": "carsus_extracted/carsus-master/carsus/io/nuclear/nndc.py",
"type": "Python"
} | import logging
import pandas as pd
from pathlib import Path
import subprocess
DECAY_DATA_SOURCE_DIR = Path.home() / "Downloads" / "carsus-data-nndc"
DECAY_DATA_FINAL_DIR = Path.home() / "Downloads" / "tardis-data" / "decay-data"
NNDC_SOURCE_URL = "https://github.com/tardis-sn/carsus-data-nndc"
logger = logging.get... | tardis-snREPO_NAMEcarsusPATH_START.@carsus_extracted@carsus-master@carsus@io@nuclear@nndc.py@.PATH_END.py |
{
"filename": "cat_hsc_nep.py",
"repo_name": "HETDEX/elixer",
"repo_path": "elixer_extracted/elixer-main/elixer/cat_hsc_nep.py",
"type": "Python"
} | from __future__ import print_function
"""
This is for a special, restricted use of HSC data in the NEP
Updated 2024-02-xx
Substantial re-organization of prior early data. See bottom of this file for notes on that earlier version
"""
try:
from elixer import global_config as G
from elixer import science_ima... | HETDEXREPO_NAMEelixerPATH_START.@elixer_extracted@elixer-main@elixer@cat_hsc_nep.py@.PATH_END.py |
{
"filename": "s3arrow.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/packages/vaex-core/vaex/file/s3arrow.py",
"type": "Python"
} | import os
import io
from .s3 import patch_profile
import pyarrow as pa
import pyarrow.fs
from . import split_options, FileProxy, split_scheme
from .cache import FileSystemHandlerCached
from ..cache import fingerprint
region_cache = {}
fs_arrow_cache = {}
def glob(path, fs_options={}):
from .s3 import glob
... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@packages@vaex-core@vaex@file@s3arrow.py@.PATH_END.py |
{
"filename": "deconvolve_vis.py",
"repo_name": "SKA-INAF/caesar",
"repo_path": "caesar_extracted/caesar-master/scripts/deconvolve_vis.py",
"type": "Python"
} | #!/usr/bin/env python
##################################################
### MODULE IMPORT
##################################################
## STANDARD MODULES
import os
import sys
import subprocess
import string
import time
import signal
from threading import Thread
import datetime
import numpy as np
impor... | SKA-INAFREPO_NAMEcaesarPATH_START.@caesar_extracted@caesar-master@scripts@deconvolve_vis.py@.PATH_END.py |
{
"filename": "MetroTool.py",
"repo_name": "lsst-ts/ts_phosim",
"repo_path": "ts_phosim_extracted/ts_phosim-main/python/lsst/ts/phosim/utils/MetroTool.py",
"type": "Python"
} | # This file is part of ts_phosim.
#
# Developed for the LSST Telescope and Site Systems.
# This product includes software developed by the LSST Project
# (https://www.lsst.org).
# See the COPYRIGHT file at the top-level directory of this distribution
# for details of code ownership.
#
# This program is free software: y... | lsst-tsREPO_NAMEts_phosimPATH_START.@ts_phosim_extracted@ts_phosim-main@python@lsst@ts@phosim@utils@MetroTool.py@.PATH_END.py |
{
"filename": "_nbinsy.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/_nbinsy.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NbinsyValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="nbinsy", parent_name="histogram2dcontour", **kwargs
):
super(NbinsyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@_nbinsy.py@.PATH_END.py |
{
"filename": "airbyte.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_loaders/airbyte.py",
"type": "Python"
} | from typing import Any, Callable, Iterator, Mapping, Optional
from langchain_core.documents import Document
from langchain_core.utils.utils import guard_import
from langchain_community.document_loaders.base import BaseLoader
RecordHandler = Callable[[Any, Optional[str]], Document]
class AirbyteCDKLoader(BaseLoader... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_loaders@airbyte.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/surface/colorbar/tickfont/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="textcase", parent_name="surface.colorbar.tickfont", **kwargs
):
super(TextcaseValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@surface@colorbar@tickfont@_textcase.py@.PATH_END.py |
{
"filename": "DataGeneration.py",
"repo_name": "wlxu/RelicClass",
"repo_path": "RelicClass_extracted/RelicClass-master/RealSpaceInterface/Calc2D/DataGeneration.py",
"type": "Python"
} | import logging
import numpy as np
import cv2
from Calc2D.rFourier import realFourier, realInverseFourier
def GenerateGaussianData(sigma, size, points, A=1):
xr = np.linspace(-size / 2.0, size / 2.0, points)
yr = np.linspace(-size / 2.0, size / 2.0, points)
step = xr[1] - xr[0]
x, y = np.meshgrid(
... | wlxuREPO_NAMERelicClassPATH_START.@RelicClass_extracted@RelicClass-master@RealSpaceInterface@Calc2D@DataGeneration.py@.PATH_END.py |
{
"filename": "emulator_analysis_convergence.py",
"repo_name": "dylancromer/maszcal",
"repo_path": "maszcal_extracted/maszcal-main/scripts/emulator_analysis_convergence.py",
"type": "Python"
} | import datetime
import numpy as np
import pathos.pools as pp
from sklearn.gaussian_process.kernels import Matern
import supercubos
import maszcal.cosmology
import maszcal.corrections
import maszcal.data.sims
import maszcal.data.obs
import maszcal.density
import maszcal.fitutils
import maszcal.lensing
import maszcal.lik... | dylancromerREPO_NAMEmaszcalPATH_START.@maszcal_extracted@maszcal-main@scripts@emulator_analysis_convergence.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pyzmq/py2/zmq/green/eventloop/__init__.py",
"type": "Python"
} | from zmq.green.eventloop.ioloop import IOLoop
__all__ = ['IOLoop'] | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pyzmq@py2@zmq@green@eventloop@__init__.py@.PATH_END.py |
{
"filename": "msvc9compiler.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/distutils/msvc9compiler.py",
"type": "Python"
} | import os
from distutils.msvc9compiler import MSVCCompiler as _MSVCCompiler
from .system_info import platform_bits
def _merge(old, new):
"""Concatenate two environment paths avoiding repeats.
Here `old` is the environment string before the base class initialize
function is called and `new` is the string... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@distutils@msvc9compiler.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermapbox/selected/marker/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._size import SizeValidator
from ._opacity import OpacityValidator
from ._color import ColorValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_i... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermapbox@selected@marker@__init__.py@.PATH_END.py |
{
"filename": "test_jump.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/tests/test_jump.py",
"type": "Python"
} | """Tests for jump model component """
import logging
import os
import pytest
import pytest
import astropy.units as u
import numpy as np
import pint.models.model_builder as mb
import pint.toa as toa
from pint.residuals import Residuals
from pinttestdata import datadir
from pint.models import parameter as p
from pint.... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@tests@test_jump.py@.PATH_END.py |
{
"filename": "base.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/evaluation/exact_match/base.py",
"type": "Python"
} | import string
from typing import Any, List
from langchain.evaluation.schema import StringEvaluator
class ExactMatchStringEvaluator(StringEvaluator):
"""Compute an exact match between the prediction and the reference.
Examples
----------
>>> evaluator = ExactMatchChain()
>>> evaluator.evaluate_st... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@evaluation@exact_match@base.py@.PATH_END.py |
{
"filename": "test_erfinv.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/special/tests/test_erfinv.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_allclose, assert_equal
import pytest
import scipy.special as sc
class TestInverseErrorFunction:
def test_compliment(self):
# Test erfcinv(1 - x) == erfinv(x)
x = np.linspace(-1, 1, 101)
assert_allclose(sc.erfcinv(1 - x), sc.erfinv(x), rt... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@special@tests@test_erfinv.py@.PATH_END.py |
{
"filename": "_fresnel.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/lighting/_fresnel.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FresnelValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="fresnel", parent_name="surface.lighting", **kwargs):
super(FresnelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@surface@lighting@_fresnel.py@.PATH_END.py |
{
"filename": "calc_act_general.ipynb",
"repo_name": "gomesdasilva/ACTIN2",
"repo_path": "ACTIN2_extracted/ACTIN2-master/docs/calc_act_general.ipynb",
"type": "Jupyter Notebook"
} | ## Using ACTIN with any spectra
In this tutorial we will learn how to use `ACTIN` for spectrographs other than the ones included or when we only have access to wavelength and flux vectors.
```python
from actin2 import ACTIN
actin = ACTIN()
```
Let's use the test spectra that come with `ACTIN` as an example to extr... | gomesdasilvaREPO_NAMEACTIN2PATH_START.@ACTIN2_extracted@ACTIN2-master@docs@calc_act_general.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/utils/__init__.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This subpackage contains developer-oriented utilities used by Astropy.
Public functions and classes in this subpackage are safe to be used by other
packages, but this subpackage is for utilities that are primarily of use for
developers or to implement... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@utils@__init__.py@.PATH_END.py |
{
"filename": "test_grid.py",
"repo_name": "nanograv/PINT",
"repo_path": "PINT_extracted/PINT-master/tests/test_grid.py",
"type": "Python"
} | """Test chi^2 gridding routines"""
import concurrent.futures
import pytest
import astropy.units as u
import numpy as np
import pint.config
import pint.gridutils
import pint.models.parameter as param
from pint.fitter import GLSFitter, WLSFitter, DownhillWLSFitter, DownhillGLSFitter
from pint.models.model_builder impo... | nanogravREPO_NAMEPINTPATH_START.@PINT_extracted@PINT-master@tests@test_grid.py@.PATH_END.py |
{
"filename": "data.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/tests/test_optional/test_matplotlylib/data/data.py",
"type": "Python"
} | D = dict(
x1=[0, 1, 2, 3, 4, 5],
y1=[10, 20, 50, 80, 100, 200],
x2=[0, 1, 2, 3, 4, 5, 6],
y2=[1, 4, 8, 16, 32, 64, 128],
)
| plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@tests@test_optional@test_matplotlylib@data@data.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "sdss/lvmagp",
"repo_path": "lvmagp_extracted/lvmagp-main/python/lvmagp/guide/offset/__init__.py",
"type": "Python"
} | """
TODO: write docs
"""
__title__ = "Guide Offset"
from .base import GuideOffset
from .pwi import GuideOffsetPWI
| sdssREPO_NAMElvmagpPATH_START.@lvmagp_extracted@lvmagp-main@python@lvmagp@guide@offset@__init__.py@.PATH_END.py |
{
"filename": "snsedextend_README.md",
"repo_name": "jpierel14/SNSED_Repository",
"repo_path": "SNSED_Repository_extracted/SNSED_Repository-master/SEDs.H18-WFIRST/NON1A.H18-WFIRST/snsedextend_README.md",
"type": "Markdown"
} | J.R. Pierel & S.Rodney
2017.04.26
__SUMMARY__
Extrapolate SED up to J, H and K bands, allowing user to define V-J, V-H and/or V-K. Extrapolation is improvement upon previous method in that
it chooses a linear slope such that the integration of the J (H,K) band will correspond to the user-defined V-J (V-H,V-K). The ... | jpierel14REPO_NAMESNSED_RepositoryPATH_START.@SNSED_Repository_extracted@SNSED_Repository-master@SEDs.H18-WFIRST@NON1A.H18-WFIRST@snsedextend_README.md@.PATH_END.py |
{
"filename": "wrightomega.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/special/_precompute/wrightomega.py",
"type": "Python"
} | import numpy as np
try:
import mpmath
except ImportError:
pass
def mpmath_wrightomega(x):
return mpmath.lambertw(mpmath.exp(x), mpmath.mpf('-0.5'))
def wrightomega_series_error(x):
series = x
desired = mpmath_wrightomega(x)
return abs(series - desired) / desired
def wrightomega_exp_error(... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@special@_precompute@wrightomega.py@.PATH_END.py |
{
"filename": "test_resource.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/io/votable/tests/test_resource.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# LOCAL
import io
from astropy.io.votable import parse
from astropy.utils.data import get_pkg_data_filename
def test_resource_groups():
# Read the VOTABLE
votable = parse(get_pkg_data_filename("data/resource_groups.xml"))
resource = votable... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@io@votable@tests@test_resource.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/hawc_hal/convenience_functions/__init__.py",
"type": "Python"
} | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@hawc_hal@convenience_functions@__init__.py@.PATH_END.py | |
{
"filename": "survey_paper.py",
"repo_name": "gbrammer/unicorn",
"repo_path": "unicorn_extracted/unicorn-master/survey_paper.py",
"type": "Python"
} | import os
#import pyfits
import astropy.io.fits as pyfits
import numpy as np
import glob
import shutil
import matplotlib.pyplot as plt
USE_PLOT_GUI=False
from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg
import matplotlib
import threedhst
import threedhst.eazyPy as eaz... | gbrammerREPO_NAMEunicornPATH_START.@unicorn_extracted@unicorn-master@survey_paper.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/scatter3d/textfont/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(self, plotly_name="color", parent_name="scatter3d.textfont", **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@scatter3d@textfont@_color.py@.PATH_END.py |
{
"filename": "test_cache.py",
"repo_name": "D-arioSpace/astroquery",
"repo_path": "astroquery_extracted/astroquery-main/astroquery/tests/test_cache.py",
"type": "Python"
} | import requests
import os
import pytest
from time import mktime
from datetime import datetime
from astropy.config import paths
from astroquery.query import QueryWithLogin
from astroquery import cache_conf
URL1 = "http://fakeurl.edu"
URL2 = "http://fakeurl.ac.uk"
TEXT1 = "Penguin"
TEXT2 = "Walrus"
def _create_res... | D-arioSpaceREPO_NAMEastroqueryPATH_START.@astroquery_extracted@astroquery-main@astroquery@tests@test_cache.py@.PATH_END.py |
{
"filename": "riess2020.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/H0/riess2020.py",
"type": "Python"
} | from cobaya.likelihoods.base_classes import H0
class riess2020(H0):
r"""
Local $H_0$ measurement from \cite{Riess:2020fzl}.
"""
pass
| ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@H0@riess2020.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/benchmark/fortran/pm_distUnif/setUnifRand_vs_random_number/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
fontsize = 14
df = pd.read_csv("main.out")
####################################################################################################################################
#### Plot the runtimes.
#######################... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@benchmark@fortran@pm_distUnif@setUnifRand_vs_random_number@main.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "annadeg/jwst-msafit",
"repo_path": "jwst-msafit_extracted/jwst-msafit-main/msafit/__init__.py",
"type": "Python"
} | from . import fpa
from . import model
from . import fitting
from . import lsf
| annadegREPO_NAMEjwst-msafitPATH_START.@jwst-msafit_extracted@jwst-msafit-main@msafit@__init__.py@.PATH_END.py |
{
"filename": "rayleigh.py",
"repo_name": "pcubillos/pyratbay",
"repo_path": "pyratbay_extracted/pyratbay-master/pyratbay/atmosphere/rayleigh/rayleigh.py",
"type": "Python"
} | # Copyright (c) 2021 Patricio Cubillos
# Pyrat Bay is open-source software under the GNU GPL-2.0 license (see LICENSE)
__all__ = [
'Dalgarno',
'Lecavelier',
]
import numpy as np
from ... import tools as pt
class Dalgarno():
"""
Rayleigh-scattering model from Dalgarno (1962), Kurucz (1970), and
Da... | pcubillosREPO_NAMEpyratbayPATH_START.@pyratbay_extracted@pyratbay-master@pyratbay@atmosphere@rayleigh@rayleigh.py@.PATH_END.py |
{
"filename": "exp.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/testing/op_tests/exp.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@lite@testing@op_tests@exp.py@.PATH_END.py |
{
"filename": "cloud_run_v2.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/integrations/prefect-gcp/prefect_gcp/models/cloud_run_v2.py",
"type": "Python"
} | import time
from typing import Dict, List, Literal, Optional
# noinspection PyProtectedMember
from googleapiclient.discovery import Resource
from pydantic import BaseModel, Field
class SecretKeySelector(BaseModel):
"""
SecretKeySelector is a data model for specifying a GCP secret to inject
into a Cloud R... | PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@integrations@prefect-gcp@prefect_gcp@models@cloud_run_v2.py@.PATH_END.py |
{
"filename": "_value.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/heatmap/colorbar/tickformatstop/_value.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="value",
parent_name="heatmap.colorbar.tickformatstop",
**kwargs,
):
super(ValueValidator, self).__init__(
plotly_name=plo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@heatmap@colorbar@tickformatstop@_value.py@.PATH_END.py |
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