metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "__init__.py",
"repo_name": "gwpy/gwpy",
"repo_path": "gwpy_extracted/gwpy-main/gwpy/signal/tests/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) Duncan Macleod (2018-2020)
#
# This file is part of GWpy.
#
# GWpy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option)... | gwpyREPO_NAMEgwpyPATH_START.@gwpy_extracted@gwpy-main@gwpy@signal@tests@__init__.py@.PATH_END.py |
{
"filename": "carma_fit.py",
"repo_name": "ywx649999311/EzTao",
"repo_path": "EzTao_extracted/EzTao-master/src/eztao/ts/carma_fit.py",
"type": "Python"
} | """
A collection of functions to fit/analyze time series using CARMA models.
"""
import numpy as np
from scipy.optimize import minimize
from scipy.stats import median_abs_deviation as mad
import celerite
from celerite import GP
from eztao.carma.CARMATerm import DRW_term, DHO_term, CARMA_term
from functools import part... | ywx649999311REPO_NAMEEzTaoPATH_START.@EzTao_extracted@EzTao-master@src@eztao@ts@carma_fit.py@.PATH_END.py |
{
"filename": "fitters.py",
"repo_name": "esheldon/ngmix",
"repo_path": "ngmix_extracted/ngmix-master/ngmix/fitting/fitters.py",
"type": "Python"
} | """
- todo
- remove old unused fitters
"""
__all__ = ['Fitter', 'CoellipFitter', 'PSFFluxFitter']
import logging
from .leastsqbound import run_leastsq
from .. import gmix
from ..defaults import DEFAULT_LM_PARS
from .results import FitModel, CoellipFitModel, PSFFluxFitModel
LOGGER = logging.getLogger(__name__)
c... | esheldonREPO_NAMEngmixPATH_START.@ngmix_extracted@ngmix-master@ngmix@fitting@fitters.py@.PATH_END.py |
{
"filename": "hankel_transform_of_cosmo_power.ipynb",
"repo_name": "steven-murray/powerbox",
"repo_path": "powerbox_extracted/powerbox-main/devel/hankel_transform_of_cosmo_power.ipynb",
"type": "Jupyter Notebook"
} | ```python
from hankel import SymmetricFourierTransform
from scipy.interpolate import InterpolatedUnivariateSpline as spline
from hmf import Transfer
import numpy as np
import matplotlib.pyplot as plt
from powerbox import PowerBox, get_power, LogNormalPowerBox
from numpy.fft import fftn,ifftn,ifftshift,fftshift,fftfreq
... | steven-murrayREPO_NAMEpowerboxPATH_START.@powerbox_extracted@powerbox-main@devel@hankel_transform_of_cosmo_power.ipynb@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "tdaylan/pcat",
"repo_path": "pcat_extracted/pcat-master/README.md",
"type": "Markdown"
} | # PCAT (Probabilistic Cataloger)
PCAT is a transdimensional, hierarchical, and Bayesian framework to sample from the posterior probability distribution of a metamodel (union of models with different dimensionality) given some Poisson-distributed data.
In addition to its previous use in the literature to sample from ... | tdaylanREPO_NAMEpcatPATH_START.@pcat_extracted@pcat-master@README.md@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "rapidsai/cuml",
"repo_path": "cuml_extracted/cuml-main/docs/README.md",
"type": "Markdown"
} | # Building Documentation
## Building locally:
#### [Build and install cuML](../BUILD.md)
#### Generate the docs
```bash
bash build.sh cppdocs pydocs
```
#### Once the process finishes, documentation can be found in build/html
```bash
xdg-open build/html/api.html
```
| rapidsaiREPO_NAMEcumlPATH_START.@cuml_extracted@cuml-main@docs@README.md@.PATH_END.py |
{
"filename": "Fig.6,7,&9.ipynb",
"repo_name": "TRASAL/frbpoppy",
"repo_path": "frbpoppy_extracted/frbpoppy-master/tests/markov_chain_monte_carlo/Fig.6,7,&9.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import corner
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
```
# Fig.6
```python
flatchainpl_1 = np.loadtxt('sampler/mcmc_sampler_vol_co_20000_1.txt')
flatchainpl_2 = np.loadtxt('sampler/mcmc_sampler_vol_co_20000_2.txt')
flatchainpl_3 = np.loadtxt('sampler/mcmc_sampl... | TRASALREPO_NAMEfrbpoppyPATH_START.@frbpoppy_extracted@frbpoppy-master@tests@markov_chain_monte_carlo@Fig.6,7,&9.ipynb@.PATH_END.py |
{
"filename": "ii_minus_projected.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/ia_correlations/ii_minus_projected.py",
"type": "Python"
} | r"""
Module containing the `~halotools.mock_observables.alignments.ii_minus_projected` function used to
calculate the projected intrinsic ellipticity-ellipticity (II) correlation
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from math import pi
from .alignm... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@ia_correlations@ii_minus_projected.py@.PATH_END.py |
{
"filename": "_ysrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/_ysrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="ysrc", parent_name="bar", **kwargs):
super(YsrcValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_type=kwar... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@_ysrc.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "nhurleywalker/GPMTransient",
"repo_path": "GPMTransient_extracted/GPMTransient-main/predict_pulses/README.md",
"type": "Markdown"
} | # Predicting future TOAs
The following recipe can be used to generate TOAs between "now" (e.g. MJD 60066) and "some time in the future" (e.g. 60310).
The TOAs are written out in the TEMPO2 format of a `.tim` file.
The final steps (`cat` and `pintk`) are just to make sure that the predicted TOAs are sensible, i.e. cons... | nhurleywalkerREPO_NAMEGPMTransientPATH_START.@GPMTransient_extracted@GPMTransient-main@predict_pulses@README.md@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/scene/yaxis/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Tickfont(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.scene.yaxis"
_path_str = "layout.scene.yaxis.tickfont"
_valid_props = {
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@scene@yaxis@_tickfont.py@.PATH_END.py |
{
"filename": "test_harnesses.py",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/internal_test_util/test_harnesses.py",
"type": "Python"
} | # Copyright 2020 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@internal_test_util@test_harnesses.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterpolargl/textfont/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="scatterpolargl.textfont", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@textfont@_family.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/choropleth/colorbar/title/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="choropleth.colorbar.title", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@choropleth@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "particle.py",
"repo_name": "icecube/TauRunner",
"repo_path": "TauRunner_extracted/TauRunner-master/taurunner/particle/particle.py",
"type": "Python"
} | import numpy as np
import proposal as pp
import sys
from typing import Union
from ..utils import units
from ..body import Body
from ..track import Track
from ..cross_sections import CrossSections
from .utils import *
ISOSCALAR_MASS = ((0.9382720813+0.9395654133)/2.) * units.GeV
EMIN = 1e9 # minimum energy allowed i... | icecubeREPO_NAMETauRunnerPATH_START.@TauRunner_extracted@TauRunner-master@taurunner@particle@particle.py@.PATH_END.py |
{
"filename": "test_child_analysis.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/aggregator/test_child_analysis.py",
"type": "Python"
} | from pathlib import Path
import pytest
from autofit import SearchOutput
from autofit.aggregator import Aggregator
import autofit as af
@pytest.fixture(name="directory")
def make_directory():
return Path(__file__).parent
@pytest.fixture(name="search_output")
def make_search_output(directory):
return Search... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@aggregator@test_child_analysis.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/scattercarpet/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._hoverlabel import Hoverlabel
from ._legendgrouptitle import Legendgrouptitle
from ._line import Line
from ._marker import Marker
from ._selected import Selected
from ._stream import Stream
from... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scattercarpet@__init__.py@.PATH_END.py |
{
"filename": "_tick0.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/zaxis/_tick0.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class Tick0Validator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="tick0", parent_name="layout.scene.zaxis", **kwargs):
super(Tick0Validator, 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@layout@scene@zaxis@_tick0.py@.PATH_END.py |
{
"filename": "models.py",
"repo_name": "dstndstn/astrometry.net",
"repo_path": "astrometry.net_extracted/astrometry.net-main/net/models.py",
"type": "Python"
} | from __future__ import print_function
from __future__ import absolute_import
import os
import itertools
from urllib.request import urlopen
from django.db import models
from django.db.models import Q
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExist, MultipleObjectsRetur... | dstndstnREPO_NAMEastrometry.netPATH_START.@astrometry.net_extracted@astrometry.net-main@net@models.py@.PATH_END.py |
{
"filename": "test_vizier_cs.py",
"repo_name": "astropy/pyvo",
"repo_path": "pyvo_extracted/pyvo-main/pyvo/mivot/tests/test_vizier_cs.py",
"type": "Python"
} | '''
The first service in operation the annotates query responses in the fly is Vizier
https://cds/viz-bin/mivotconesearch/VizierParams
Data are mapped o the EPochPropagtion model as it is implemented in the current code.
This test case is based on 2 VOTables:
- The Vizier native (vizier_cs_withname.xml) where all ATTR... | astropyREPO_NAMEpyvoPATH_START.@pyvo_extracted@pyvo-main@pyvo@mivot@tests@test_vizier_cs.py@.PATH_END.py |
{
"filename": "test_coordinate_links.py",
"repo_name": "glue-viz/glue",
"repo_path": "glue_extracted/glue-main/glue/core/tests/test_coordinate_links.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_allclose
from glue.tests.helpers import requires_astropy, ASTROPY_INSTALLED
from .. import Data, DataCollection
from ..coordinates import IdentityCoordinates, coordinates_from_header
from ..link_helpers import LinkSame
from glue.core.coordinate_helpers import depend... | glue-vizREPO_NAMEgluePATH_START.@glue_extracted@glue-main@glue@core@tests@test_coordinate_links.py@.PATH_END.py |
{
"filename": "CODE_OF_CONDUCT.md",
"repo_name": "1313e/CMasher",
"repo_path": "CMasher_extracted/CMasher-master/.github/CODE_OF_CONDUCT.md",
"type": "Markdown"
} | # Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex ch... | 1313eREPO_NAMECMasherPATH_START.@CMasher_extracted@CMasher-master@.github@CODE_OF_CONDUCT.md@.PATH_END.py |
{
"filename": "frequency_normalization.ipynb",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioMC/SignalGen/tests/frequency_normalization.ipynb",
"type": "Jupyter Notebook"
} | # Test of correct frequency normalization
```python
%matplotlib inline
import numpy as np
from NuRadioMC.utilities import fft
from NuRadioMC.utilities import units
import NuRadioMC.SignalGen.RalstonBuniy.askaryan_module as AskaryanModule
```
the fft utility module implements a real fft with a normalization so that
... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioMC@SignalGen@tests@frequency_normalization.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/table/header/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._valuessrc import ValuessrcValidator
from ._values import ValuesValidator
from ._suffixsrc import SuffixsrcValidator
from ._suffix import SuffixValidator
from ._prefixsrc import PrefixsrcValidator
from ._prefix import PrefixValidator
from ._lin... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@table@header@__init__.py@.PATH_END.py |
{
"filename": "_side.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/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_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterpolargl@marker@colorbar@title@_side.py@.PATH_END.py |
{
"filename": "test_beams.py",
"repo_name": "HERA-Team/matvis",
"repo_path": "matvis_extracted/matvis-main/tests/test_beams.py",
"type": "Python"
} | """Test that pixel and analytic beams are properly aligned."""
import pytest
import copy
import numpy as np
from pytest_lazy_fixtures import lf
from pyuvdata import UVBeam
from pyuvdata.analytic_beam import AnalyticBeam, GaussianBeam
from pyuvdata.beam_interface import BeamInterface
from pyuvdata.utils.pol import pol... | HERA-TeamREPO_NAMEmatvisPATH_START.@matvis_extracted@matvis-main@tests@test_beams.py@.PATH_END.py |
{
"filename": "antenna.py",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/src/pyuvdata/utils/antenna.py",
"type": "Python"
} | # Copyright (c) 2024 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Utilities for antennas."""
import numpy as np
from . import tools
def _select_antenna_helper(
*, antenna_names, antenna_nums, tel_ant_names, tel_ant_nums, obj_ant_array
):
if antenna_names is not None:
i... | RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@src@pyuvdata@utils@antenna.py@.PATH_END.py |
{
"filename": "tools.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/configs/default/plugins/tools.py",
"type": "Python"
} | from glue_jupyter.bqplot.profile import BqplotProfileView
from jdaviz.core.tools import SinglePixelRegion
from jdaviz.core.marks import PluginLine
__all__ = ['ProfileFromCube']
class ProfileFromCube(SinglePixelRegion):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.... | spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@configs@default@plugins@tools.py@.PATH_END.py |
{
"filename": "mvf_read_benchmark.py",
"repo_name": "ska-sa/katdal",
"repo_path": "katdal_extracted/katdal-master/scripts/mvf_read_benchmark.py",
"type": "Python"
} | #!/usr/bin/env python
################################################################################
# Copyright (c) 2018-2021,2023, National Research Foundation (SARAO)
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use
# this file except in compliance with the License. You may obtain a co... | ska-saREPO_NAMEkatdalPATH_START.@katdal_extracted@katdal-master@scripts@mvf_read_benchmark.py@.PATH_END.py |
{
"filename": "units.py",
"repo_name": "adrn/thejoker",
"repo_path": "thejoker_extracted/thejoker-main/thejoker/units.py",
"type": "Python"
} | """Originally from the exoplanet project"""
__all__ = ["with_unit", "has_unit", "to_unit"]
from pytensor.tensor import as_tensor_variable
UNIT_ATTR_NAME = "__tensor_unit__"
def with_unit(obj, unit):
"""Decorate a tensor with Astropy units
Parameters
----------
obj
The tensor object
uni... | adrnREPO_NAMEthejokerPATH_START.@thejoker_extracted@thejoker-main@thejoker@units.py@.PATH_END.py |
{
"filename": "group.py",
"repo_name": "lwang-astro/PeTar",
"repo_path": "PeTar_extracted/PeTar-master/tools/analysis/group.py",
"type": "Python"
} | import collections
from .base import *
from .data import *
class BinaryTreeSDAR(DictNpArrayMix):
""" Binary tree data output from SDAR
Keys: (class members)
semi (1D): semi-major axis
ecc (1D): eccentricity
incline (1D): inclination
rot_horizon (1D): frame rotational angle in ... | lwang-astroREPO_NAMEPeTarPATH_START.@PeTar_extracted@PeTar-master@tools@analysis@group.py@.PATH_END.py |
{
"filename": "redspec.py",
"repo_name": "soar-telescope/goodman_pipeline",
"repo_path": "goodman_pipeline_extracted/goodman_pipeline-main/goodman_pipeline/spectroscopy/redspec.py",
"type": "Python"
} | #!/usr/bin/env python2
# -*- coding: utf8 -*-
"""Pipeline for Goodman High Troughput Spectrograph spectra Extraction.
This program finds reduced images, i.e. trimmed, bias subtracted, flat fielded,
etc. that match the ``<pattern>`` in the source folder, then classify them in
two groups: Science or Lamps. For science i... | soar-telescopeREPO_NAMEgoodman_pipelinePATH_START.@goodman_pipeline_extracted@goodman_pipeline-main@goodman_pipeline@spectroscopy@redspec.py@.PATH_END.py |
{
"filename": "_opacity.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="opacity", parent_name="surface", **kwargs):
super(OpacityValidator, 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@_opacity.py@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "HERA-Team/hera_pspec",
"repo_path": "hera_pspec_extracted/hera_pspec-main/hera_pspec/tests/test_utils.py",
"type": "Python"
} | import unittest
import pytest
import numpy as np
import os, sys, copy
from hera_pspec.data import DATA_PATH
from .. import utils, testing, pspecbeam
from collections import OrderedDict as odict
from pyuvdata import UVData
from hera_cal import redcal
def test_cov():
# load another data file
uvd = UVData()
... | HERA-TeamREPO_NAMEhera_pspecPATH_START.@hera_pspec_extracted@hera_pspec-main@hera_pspec@tests@test_utils.py@.PATH_END.py |
{
"filename": "measure_Pk1D.py",
"repo_name": "igmhub/LyaCoLoRe",
"repo_path": "LyaCoLoRe_extracted/LyaCoLoRe-master/scripts/measure_Pk1D.py",
"type": "Python"
} | #!/usr/bin/env python
import numpy as np
from astropy.io import fits
import matplotlib.pyplot as plt
import matplotlib.ticker
from multiprocessing import Pool
import multiprocessing
import sys
import time
import os
import argparse
import matplotlib.patches as mpatches
from lyacolore import Pk1D, tuning, utils
######... | igmhubREPO_NAMELyaCoLoRePATH_START.@LyaCoLoRe_extracted@LyaCoLoRe-master@scripts@measure_Pk1D.py@.PATH_END.py |
{
"filename": "abscal_inspect_2458205.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/abscal_inspect/abscal_inspect_2458205.ipynb",
"type": "Jupyter Notebook"
} | # Stage 2 Absolute Calibration Nightly Notebook
**Josh Dillon**, Last Revised 9/23/20
```python
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
from hera_cal import io, redcal, apply_cal, abscal, utils
from hera_cal.smooth_cal import build_time_blacklist
from hera_qm.metrics_io import load_metri... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@abscal_inspect@abscal_inspect_2458205.ipynb@.PATH_END.py |
{
"filename": "test_lineprofiles.py",
"repo_name": "sdss/mangadap",
"repo_path": "mangadap_extracted/mangadap-main/mangadap/tests/test_lineprofiles.py",
"type": "Python"
} |
from IPython import embed
import numpy
from scipy import special
from matplotlib import pyplot
import astropy.constants
from mangadap.util.sampling import spectrum_velocity_scale, spectral_coordinate_step
from mangadap.util.lineprofiles import FFTGaussianLSF
from mangadap.proc import ppxffit
def pixelated_gaussia... | sdssREPO_NAMEmangadapPATH_START.@mangadap_extracted@mangadap-main@mangadap@tests@test_lineprofiles.py@.PATH_END.py |
{
"filename": "rs_utilities.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/recipe_system/utils/rs_utilities.py",
"type": "Python"
} | """
Set of functions in support of the recipe_system.
"""
import sys
import errno
import itertools
import traceback
from os import makedirs
from os.path import join
def log_traceback(log):
exc_type, exc_value, exc_traceback = sys.exc_info()
tblist = traceback.format_exception(exc_type, exc_value, exc_traceba... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@recipe_system@utils@rs_utilities.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "cdslaborg/paramonte",
"repo_path": "paramonte_extracted/paramonte-main/example/fortran/pm_distPareto/getParetoLogCDF/main.py",
"type": "Python"
} | #!/usr/bin/env python
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import glob
import sys
linewidth = 2
fontsize = 17
marker ={ "CK" : "-"
, "IK" : "."
, "RK" : "-"
}
xlab = { "CK" : "X ( real/imaginary components )"
, "IK" : "X ( integer-valued )"
,... | cdslaborgREPO_NAMEparamontePATH_START.@paramonte_extracted@paramonte-main@example@fortran@pm_distPareto@getParetoLogCDF@main.py@.PATH_END.py |
{
"filename": "checkpolconvert.py",
"repo_name": "marti-vidal-i/PolConvert",
"repo_path": "PolConvert_extracted/PolConvert-main/PP/checkpolconvert.py",
"type": "Python"
} | #!/usr/bin/python
#
# Copyright (c) Ivan Marti-Vidal 2015-2023, University of Valencia (Spain)
# and Geoffrey Crew 2015-2023, Massachusetts Institute of Technology
#
# Script to check polconvert QA2 tables. Optionally, it can
# slice out a time-restricted version of the main tables.
#
# Py2/3 compatible via pyth... | marti-vidal-iREPO_NAMEPolConvertPATH_START.@PolConvert_extracted@PolConvert-main@PP@checkpolconvert.py@.PATH_END.py |
{
"filename": "util.py",
"repo_name": "kbwestfall/NIRVANA",
"repo_path": "NIRVANA_extracted/NIRVANA-master/nirvana/data/util.py",
"type": "Python"
} | """
Provides a random set of utility methods.
.. include:: ../include/links.rst
"""
import warnings
from IPython import embed
import numpy as np
from scipy import sparse, linalg, stats, special, ndimage, spatial
# Only used for debugging...
from matplotlib import pyplot
from astropy.stats import sigma_clip
from ..... | kbwestfallREPO_NAMENIRVANAPATH_START.@NIRVANA_extracted@NIRVANA-master@nirvana@data@util.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "ellawang44/Breidablik",
"repo_path": "Breidablik_extracted/Breidablik-master/breidablik/analysis/__init__.py",
"type": "Python"
} | __all__ = ["read", "tools", "format_read"]
| ellawang44REPO_NAMEBreidablikPATH_START.@Breidablik_extracted@Breidablik-master@breidablik@analysis@__init__.py@.PATH_END.py |
{
"filename": "genNetCDF.py",
"repo_name": "aasensio/hazel",
"repo_path": "hazel_extracted/hazel-master/pyRoutines/genNetCDF.py",
"type": "Python"
} | import numpy as np
from scipy.io import netcdf
def genNetCDF(wavelength, stI, stQ, stU, stV, sigmaI, sigmaQ, sigmaU, sigmaV, boundary, height, obsTheta, obsGamma, mask, pars, normalization, outputFile):
"""
This routine generates a NetCDF file with the observations ready for Hazel-MPI
Args:
wa... | aasensioREPO_NAMEhazelPATH_START.@hazel_extracted@hazel-master@pyRoutines@genNetCDF.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/funnelarea/legendgrouptitle/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="funnelarea.legendgrouptitle", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@funnelarea@legendgrouptitle@_font.py@.PATH_END.py |
{
"filename": "cond_v2.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/cond_v2.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@ops@cond_v2.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "MWATelescope/Birli",
"repo_path": "Birli_extracted/Birli-main/tests/data/__init__.py",
"type": "Python"
} | MWATelescopeREPO_NAMEBirliPATH_START.@Birli_extracted@Birli-main@tests@data@__init__.py@.PATH_END.py | |
{
"filename": "tcpserver.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/tornado/tornado-4/tornado/tcpserver.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright 2011 Facebook
#
# 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 applicable law or a... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@tornado@tornado-4@tornado@tcpserver.py@.PATH_END.py |
{
"filename": "plot_sgd_loss_functions.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/examples/linear_model/plot_sgd_loss_functions.py",
"type": "Python"
} | """
==========================
SGD: convex loss functions
==========================
A plot that compares the various convex loss functions supported by
:class:`~sklearn.linear_model.SGDClassifier` .
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import matplotlib.pyplot as plt
i... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@examples@linear_model@plot_sgd_loss_functions.py@.PATH_END.py |
{
"filename": "_show.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/isosurface/caps/y/_show.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="show", parent_name="isosurface.caps.y", **kwargs):
super(ShowValidator, 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@isosurface@caps@y@_show.py@.PATH_END.py |
{
"filename": "getter.py",
"repo_name": "nikhil-sarin/redback",
"repo_path": "redback_extracted/redback-master/redback/get_data/getter.py",
"type": "Python"
} | import pandas as pd
class DataGetter(object):
""" """
def __init__(self, transient: str, transient_type: str) -> None:
self.transient = transient
self.transient_type = transient_type
def get_data(self) -> pd.DataFrame:
"""Downloads the raw data and produces a processed .csv file.... | nikhil-sarinREPO_NAMEredbackPATH_START.@redback_extracted@redback-master@redback@get_data@getter.py@.PATH_END.py |
{
"filename": "tls.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/lexers/tls.py",
"type": "Python"
} | """
pygments.lexers.tls
~~~~~~~~~~~~~~~~~~~
Lexers for the TLS presentation language.
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, words
from pygments.token import Comment, Operator,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@lexers@tls.py@.PATH_END.py |
{
"filename": "pickle_handshake.py",
"repo_name": "Samreay/Barry",
"repo_path": "Barry_extracted/Barry-master/barry/data/desi_lightcone_mocks_recon/pickle_handshake.py",
"type": "Python"
} | import pickle
import pandas as pd
import numpy as np
import os
def getxi(loc):
df = pd.read_csv(loc, comment="#", skiprows=0, delim_whitespace=True, names=["s", "xi0", "xi2", "xi4"], header=None)
print(df)
mask = df["s"] <= 205.0
masked = df.loc[mask, ["s", "xi0", "xi2", "xi4"]]
return masked.asty... | SamreayREPO_NAMEBarryPATH_START.@Barry_extracted@Barry-master@barry@data@desi_lightcone_mocks_recon@pickle_handshake.py@.PATH_END.py |
{
"filename": "build_canonical.py",
"repo_name": "COINtoolbox/ActSNClass",
"repo_path": "ActSNClass_extracted/ActSNClass-master/actsnclass/scripts/build_canonical.py",
"type": "Python"
} | # Copyright 2019 snactclass software
# Author: Emille E. O. Ishida
# Based on initial prototype developed by the CRP #4 team
#
# created on 11 August 2019
#
# Licensed GNU General Public License v3.0;
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
... | COINtoolboxREPO_NAMEActSNClassPATH_START.@ActSNClass_extracted@ActSNClass-master@actsnclass@scripts@build_canonical.py@.PATH_END.py |
{
"filename": "test_abc.py",
"repo_name": "numpy/numpy",
"repo_path": "numpy_extracted/numpy-main/numpy/_core/tests/test_abc.py",
"type": "Python"
} | from numpy.testing import assert_
import numbers
import numpy as np
from numpy._core.numerictypes import sctypes
class TestABC:
def test_abstract(self):
assert_(issubclass(np.number, numbers.Number))
assert_(issubclass(np.inexact, numbers.Complex))
assert_(issubclass(np.complexfloating, ... | numpyREPO_NAMEnumpyPATH_START.@numpy_extracted@numpy-main@numpy@_core@tests@test_abc.py@.PATH_END.py |
{
"filename": "test_kdeoth.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/stats/tests/test_kdeoth.py",
"type": "Python"
} | from __future__ import division, print_function, absolute_import
from scipy import stats
import numpy as np
from numpy.testing import (assert_almost_equal, assert_,
assert_array_almost_equal, assert_array_almost_equal_nulp)
from pytest import raises as assert_raises
def test_kde_1d():
#some basic tests compa... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@stats@tests@test_kdeoth.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "simonsobs/apluggy",
"repo_path": "apluggy_extracted/apluggy-main/README.md",
"type": "Markdown"
} | # apluggy
[](https://pypi.org/project/apluggy)
[](https://pypi.org/project/apluggy)
[](h... | simonsobsREPO_NAMEapluggyPATH_START.@apluggy_extracted@apluggy-main@README.md@.PATH_END.py |
{
"filename": "classes.py",
"repo_name": "simonsobs/mnms",
"repo_path": "mnms_extracted/mnms-main/mnms/classes.py",
"type": "Python"
} | # These are the implemented noise model classes. They exist in the abstract
# in our minds, but the code is sliced into many levels of modules, classes
# etc, so we need to use a keyword that will track them across the repo.
### CONTRIBUTORS MAY ADD TO REGISTERED_CLASSES ###
REGISTERED_CLASSES = ['Tiled', 'Wavelet', '... | simonsobsREPO_NAMEmnmsPATH_START.@mnms_extracted@mnms-main@mnms@classes.py@.PATH_END.py |
{
"filename": "gammainc_asy.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/scipy/special/_precompute/gammainc_asy.py",
"type": "Python"
} | """
Precompute coefficients of Temme's asymptotic expansion for gammainc.
This takes about 8 hours to run on a 2.3 GHz Macbook Pro with 4GB ram.
Sources:
[1] NIST, "Digital Library of Mathematical Functions",
https://dlmf.nist.gov/
"""
import os
from scipy.special._precompute.utils import lagrange_inversion
try... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@scipy@special@_precompute@gammainc_asy.py@.PATH_END.py |
{
"filename": "_tickmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/yaxis/_tickmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="tickmode", parent_name="layout.yaxis", **kwargs):
super(TickmodeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@yaxis@_tickmode.py@.PATH_END.py |
{
"filename": "_start.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram2dcontour/xbins/_start.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StartValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="start", parent_name="histogram2dcontour.xbins", **kwargs
):
super(StartValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram2dcontour@xbins@_start.py@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram/outsidetextfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="variant", parent_name="histogram.outsidetextfont", **kwargs
):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram@outsidetextfont@_variant.py@.PATH_END.py |
{
"filename": "convolved_extended_source.py",
"repo_name": "threeML/hawc_hal",
"repo_path": "hawc_hal_extracted/hawc_hal-master/hawc_hal/convolved_source/convolved_extended_source.py",
"type": "Python"
} | from __future__ import division
from builtins import zip
from past.utils import old_div
from builtins import object
import numpy as np
from astromodels import use_astromodels_memoization
from threeML.io.logging import setup_logger
log = setup_logger(__name__)
log.propagate = False
def _select_with_wrap_around(arr, s... | threeMLREPO_NAMEhawc_halPATH_START.@hawc_hal_extracted@hawc_hal-master@hawc_hal@convolved_source@convolved_extended_source.py@.PATH_END.py |
{
"filename": "_colorscale.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/_colorscale.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Colorscale(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout"
_path_str = "layout.colorscale"
_valid_props = {"diverging", "sequential", "s... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@layout@_colorscale.py@.PATH_END.py |
{
"filename": "test_arithmetic.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/scalar/interval/test_arithmetic.py",
"type": "Python"
} | from datetime import timedelta
import numpy as np
import pytest
from pandas import (
Interval,
Timedelta,
Timestamp,
)
import pandas._testing as tm
class TestIntervalArithmetic:
def test_interval_add(self, closed):
interval = Interval(0, 1, closed=closed)
expected = Interval(1, 2, cl... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@scalar@interval@test_arithmetic.py@.PATH_END.py |
{
"filename": "_bordercolorsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/volume/hoverlabel/_bordercolorsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BordercolorsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="bordercolorsrc", parent_name="volume.hoverlabel", **kwargs
):
super(BordercolorsrcValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@volume@hoverlabel@_bordercolorsrc.py@.PATH_END.py |
{
"filename": "TestDataBase.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/tests/unit/DataBase/TestDataBase.py",
"type": "Python"
} | from Spheral import *
from SpheralTestUtilities import *
################################################################################
n1 = 10
n2 = 20
n3 = 30
m1 = 1.0
m2 = 2.0
m3 = 3.0
rho1 = 1.0
rho2 = 2.0
rho3 = 3.0
eps1 = 10.0
eps2 = 20.0
eps3 = 30.0
v1 = Vector1d(1.0)
v2 = Vector1d(-1.0)
v3 = Vector1d(2.0)... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@tests@unit@DataBase@TestDataBase.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatterternary/unselected/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._textfont import TextfontValidator
from ._marker import MarkerValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatterternary@unselected@__init__.py@.PATH_END.py |
{
"filename": "examples.py",
"repo_name": "yabebalFantaye/MCEvidence",
"repo_path": "MCEvidence_extracted/MCEvidence-master/examples.py",
"type": "Python"
} | '''
Collection of codes that can be used to test the MCEvidence code.
The examples below demostrate the validitiy of MCEvidence for
three MCMC samplers:
* Gibbs Sampling
* PyStan NUT sampler
* EMCEE sampler
Two types of likelihood surface is considered
* Gaussian Linear Model - 3 dimensions
* N-dimensional Gaussian... | yabebalFantayeREPO_NAMEMCEvidencePATH_START.@MCEvidence_extracted@MCEvidence-master@examples.py@.PATH_END.py |
{
"filename": "a370cats.ipynb",
"repo_name": "j0r1/GRALE2",
"repo_path": "GRALE2_extracted/GRALE2-master/pygrale/doc/source/_static/a370cats.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
```
```python
from grale.all_nb import *
from astropy.io import fits
from astropy import wcs
renderers.setDefaultMassRenderer(None)
```
Set 'threads' as default renderer for lensplane and mass density
Set default angular unit in plotting to arcsec
Set feedback style to 'note... | j0r1REPO_NAMEGRALE2PATH_START.@GRALE2_extracted@GRALE2-master@pygrale@doc@source@_static@a370cats.ipynb@.PATH_END.py |
{
"filename": "pipeline_base.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/core/pipeline_base.py",
"type": "Python"
} | """The base class for all objects in the MayaVi pipeline. This class
basically abstracts out the common parts of the pipeline interface.
"""
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005-2020, Enthought, Inc.
# License: BSD Style.
# Enthought library imports.
from traits.api import List,... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@core@pipeline_base.py@.PATH_END.py |
{
"filename": "implicit_relative.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/tests/test-projects/tree-project/imports/implicit_relative.py",
"type": "Python"
} | from shared_libs.bar import get_bar
from shared_libs.foo import get_foo
def foobar():
assert callable(get_foo), f"Expected callable, got {get_foo!r}"
assert callable(get_bar), f"Expected callable, got {get_bar!r}"
return get_foo() + get_bar()
| PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@tests@test-projects@tree-project@imports@implicit_relative.py@.PATH_END.py |
{
"filename": "_borderwidth.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/xaxis/rangeselector/_borderwidth.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="borderwidth",
parent_name="layout.xaxis.rangeselector",
**kwargs,
):
super(BorderwidthValidator, self).__init__(
pl... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@xaxis@rangeselector@_borderwidth.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "ML4GW/aframe",
"repo_path": "aframe_extracted/aframe-main/docs/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... | ML4GWREPO_NAMEaframePATH_START.@aframe_extracted@aframe-main@docs@conf.py@.PATH_END.py |
{
"filename": "floating_axes.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/mpl_toolkits/axes_grid/floating_axes.py",
"type": "Python"
} | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from mpl_toolkits.axisartist.floating_axes import *
| waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@mpl_toolkits@axes_grid@floating_axes.py@.PATH_END.py |
{
"filename": "whichdict.py",
"repo_name": "Michalychforever/CLASS-PT",
"repo_path": "CLASS-PT_extracted/CLASS-PT-master/ORTHOGONAL_NG_matrices/computation_of_matrices/matter_mu_powers/whichdict.py",
"type": "Python"
} | #--> vd2_f1.txt, vd2_f2.txt, dd2_f1.txt, vv4_f2.txt, vv4_f3.txt, vd4_f2.txt, vv6_f3.txt
#-) vv4, f = 3 is [ 1 ] of vd2, f = 2
importdict={"1":"vd2_f1.txt","2":"vd2_f2.txt","3":"dd2_f1.txt","4":"vv4_f2.txt","5":"vd4_f2.txt","6":"vv6_f3.txt"}
| MichalychforeverREPO_NAMECLASS-PTPATH_START.@CLASS-PT_extracted@CLASS-PT-master@ORTHOGONAL_NG_matrices@computation_of_matrices@matter_mu_powers@whichdict.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/pooling/__init__.py",
"type": "Python"
} | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@pooling@__init__.py@.PATH_END.py | |
{
"filename": "load_tools.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/agent_toolkits/load_tools.py",
"type": "Python"
} | # flake8: noqa
"""Tools provide access to various resources and services.
LangChain has a large ecosystem of integrations with various external resources
like local and remote file systems, APIs and databases.
These integrations allow developers to create versatile applications that combine the
power of LLMs with the... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@agent_toolkits@load_tools.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "chriswillott/jwst",
"repo_path": "jwst_extracted/jwst-master/columnjump/setup.py",
"type": "Python"
} | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="columnjump", # Replace with your own username
version="1.1.0",
author="Chris Willott",
author_email="chriswillott1@gmail.com",
description="Fix column jumps for JWST NIRI... | chriswillottREPO_NAMEjwstPATH_START.@jwst_extracted@jwst-master@columnjump@setup.py@.PATH_END.py |
{
"filename": "nn_impl_distribute.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/python/ops/nn_impl_distribute.py",
"type": "Python"
} | # Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@python@ops@nn_impl_distribute.py@.PATH_END.py |
{
"filename": "_split.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/model_selection/_split.py",
"type": "Python"
} | """
The :mod:`sklearn.model_selection._split` module includes classes and
functions to split the data based on a preset strategy.
"""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import numbers
import warnings
from abc import ABCMeta, abstractmethod
from collections import defaultdic... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@model_selection@_split.py@.PATH_END.py |
{
"filename": "slugify.py",
"repo_name": "PrefectHQ/prefect",
"repo_path": "prefect_extracted/prefect-main/src/prefect/utilities/slugify.py",
"type": "Python"
} | # Allows prefect to be used side-by-side with unicode-slugify
# See https://github.com/PrefectHQ/prefect/issues/6945
from slugify import slugify
__all__ = ["slugify"]
| PrefectHQREPO_NAMEprefectPATH_START.@prefect_extracted@prefect-main@src@prefect@utilities@slugify.py@.PATH_END.py |
{
"filename": "run_first_look.py",
"repo_name": "GBTAmmoniaSurvey/GAS",
"repo_path": "GAS_extracted/GAS-master/GAS/run_first_look.py",
"type": "Python"
} | import os
import textwrap
import warnings
import numpy as np
from astropy.table import Table, join
import astropy.units as u
from spectral_cube import SpectralCube
from pyspeckit.spectrum.models.ammonia_constants import voff_lines_dict
from skimage.morphology import disk,erosion
from . import first_look
from . import g... | GBTAmmoniaSurveyREPO_NAMEGASPATH_START.@GAS_extracted@GAS-master@GAS@run_first_look.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "Michalychforever/AsPy",
"repo_path": "AsPy_extracted/AsPy-master/README.md",
"type": "Markdown"
} | # AsPy
This code computes the determinants of aspherical fluctuations on the spherical collapse background.
There are 3 codes in total:
* det_master.py - computes the determinant in the EdS universe for all orbital numbers except for l=1.
* dipole_IR_master.py - computes the determinant in the dipole sector, which ... | MichalychforeverREPO_NAMEAsPyPATH_START.@AsPy_extracted@AsPy-master@README.md@.PATH_END.py |
{
"filename": "tests_io.py",
"repo_name": "arjunsavel/SImMER",
"repo_path": "SImMER_extracted/SImMER-main/src/simmer/tests/tests_io.py",
"type": "Python"
} | """
isort:skip_file
"""
import yaml
import unittest
from shutil import copyfile
import os
import pandas as pd
import numpy as np
import astropy.io.fits as pyfits
import simmer.add_dark_exp as ad
import simmer.schemas.custom_validator as validator
import simmer.schemas.read_yml as read
import simmer.insts as i
imp... | arjunsavelREPO_NAMESImMERPATH_START.@SImMER_extracted@SImMER-main@src@simmer@tests@tests_io.py@.PATH_END.py |
{
"filename": "test_stdout.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/tests/unit_tests/callbacks/test_stdout.py",
"type": "Python"
} | from typing import Any, Dict, List, Optional
import pytest
from langchain.callbacks import StdOutCallbackHandler
from langchain.chains.base import CallbackManagerForChainRun, Chain
class FakeChain(Chain):
"""Fake chain class for testing purposes."""
be_correct: bool = True
the_input_keys: List[str] = [... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@tests@unit_tests@callbacks@test_stdout.py@.PATH_END.py |
{
"filename": "fix_pms_outliers.py",
"repo_name": "astro-datalab/nsc",
"repo_path": "nsc_extracted/nsc-master/python/nsc/fix_pms_outliers.py",
"type": "Python"
} | #!/usr/bin/env python
# Update measurement catalogs using the broken up measid/objectid lists
# from nsc_instcal_combine_breakup_idstr.py
import os
import sys
import numpy as np
import shutil
import time
from dlnpyutils import utils as dln, coords, db
from astropy.table import Table
from astropy.io import fits
import... | astro-datalabREPO_NAMEnscPATH_START.@nsc_extracted@nsc-master@python@nsc@fix_pms_outliers.py@.PATH_END.py |
{
"filename": "notebook.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/tools/notebook.py",
"type": "Python"
} | """Functionality to display Mayavi scenes inside Jupyter notebooks.
"""
import base64
from itertools import count
from tvtk.api import tvtk
from tvtk.common import configure_input
from mayavi.core.scene import Scene
_registry = dict()
_backend = None
_counter = count()
def register_backend(name, klass):
globa... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@tools@notebook.py@.PATH_END.py |
{
"filename": "Database.ipynb",
"repo_name": "FRBs/FRB",
"repo_path": "FRB_extracted/FRB-main/docs/nb/Database.ipynb",
"type": "Jupyter Notebook"
} | # Database
v0 -- Developing
```python
# imports
from importlib import reload
import numpy as np
import pandas as pd
from astropy import units
from astropy.table import Table
from frb import frb
from frb.galaxies import frbgalaxy
```
WARNING: UnitsWarning: 'km/s/Mpc' contains multiple slashes, which is dis... | FRBsREPO_NAMEFRBPATH_START.@FRB_extracted@FRB-main@docs@nb@Database.ipynb@.PATH_END.py |
{
"filename": "RVFitter.py",
"repo_name": "WolfXeHD/RVFitter",
"repo_path": "RVFitter_extracted/RVFitter-master/RVFitter/RVFitter.py",
"type": "Python"
} | import copy
import os
import pickle
import lmfit
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from RVFitter.Line import Line
from RVFitter.Star import Star
# TODO: add a unique identifier for a line which can be used as key for parameters
class RVFitter(object):
"""Docstring for RVFit... | WolfXeHDREPO_NAMERVFitterPATH_START.@RVFitter_extracted@RVFitter-master@RVFitter@RVFitter.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scatter3d/marker/colorbar/title/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatter3d.marker.colorbar.title"
_path_str = "scatter3d.marker.colorbar.title.font"
_valid_pro... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scatter3d@marker@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/smith/realaxis/tickfont/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="textcase",
parent_name="layout.smith.realaxis.tickfont",
**kwargs,
):
super(TextcaseValidator, self).__init__(
plo... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@smith@realaxis@tickfont@_textcase.py@.PATH_END.py |
{
"filename": "ACCEL_sift_old.py",
"repo_name": "qianlivan/RPPPS",
"repo_path": "RPPPS_extracted/RPPPS-master/ACCEL_sift_old.py",
"type": "Python"
} | import sifting, re, glob
# Note: You will almost certainly want to adjust
# the following variables for your particular search
# glob for ACCEL files
globaccel = "*ACCEL_*0"
# glob for .inf files
globinf = "*DM*.inf"
# In how many DMs must a candidate be detected to be considered "good"
#min_num_DMs = 2
#pzc ... | qianlivanREPO_NAMERPPPSPATH_START.@RPPPS_extracted@RPPPS-master@ACCEL_sift_old.py@.PATH_END.py |
{
"filename": "test_general.py",
"repo_name": "sdss/marvin",
"repo_path": "marvin_extracted/marvin-main/tests/utils/test_general.py",
"type": "Python"
} | #!/usr/bin/env python
# encoding: utf-8
"""
test_general.py
Created by José Sánchez-Gallego on 7 Apr 2016.
Licensed under a 3-clause BSD license.
Revision history:
7 Apr 2016 J. Sánchez-Gallego
Initial version
15 Jun 2016 B. Andrews
Converted to pytest
"""
from __future__ import division
from _... | sdssREPO_NAMEmarvinPATH_START.@marvin_extracted@marvin-main@tests@utils@test_general.py@.PATH_END.py |
{
"filename": "angles.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/coordinates/angles.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
This module contains the fundamental classes used for representing
coordinates in astropy.
"""
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import math
from colle... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@coordinates@angles.py@.PATH_END.py |
{
"filename": "listwise_rerank.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/retrievers/document_compressors/listwise_rerank.py",
"type": "Python"
} | """Filter that uses an LLM to rerank documents listwise and select top-k."""
from typing import Any, Dict, List, Optional, Sequence
from langchain_core.callbacks import Callbacks
from langchain_core.documents import BaseDocumentCompressor, Document
from langchain_core.language_models import BaseLanguageModel
from lan... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@retrievers@document_compressors@listwise_rerank.py@.PATH_END.py |
{
"filename": "time_integration.py",
"repo_name": "oliverphilcox/ChempyMulti",
"repo_path": "ChempyMulti_extracted/ChempyMulti-master/Chempy/time_integration.py",
"type": "Python"
} | import numpy as np
class ABUNDANCE_MATRIX(object):
'''
This class contains all information necessary to characterize the chemical evolution of the open-box one-zone Chempy model.
It calculates the mass flow between the different components. And can advance the chemical evolution when the enrichment f... | oliverphilcoxREPO_NAMEChempyMultiPATH_START.@ChempyMulti_extracted@ChempyMulti-master@Chempy@time_integration.py@.PATH_END.py |
{
"filename": "readers.py",
"repo_name": "dvallesp/ASOHF",
"repo_path": "ASOHF_extracted/ASOHF-master/tools/readers.py",
"type": "Python"
} | import os, sys, numpy as np
from cython_fortran_file import FortranFile as FF
def read_families(it, path='', output_format='dictionaries', output_redshift=False,
min_mass=None, exclude_subhaloes=False):
'''
Reads the families files, containing the halo catalogue.
Can be outputted as a lis... | dvallespREPO_NAMEASOHFPATH_START.@ASOHF_extracted@ASOHF-master@tools@readers.py@.PATH_END.py |
{
"filename": "functions.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/mpmath/py3/mpmath/functions/functions.py",
"type": "Python"
} | from ..libmp.backend import xrange
class SpecialFunctions(object):
"""
This class implements special functions using high-level code.
Elementary and some other functions (e.g. gamma function, basecase
hypergeometric series) are assumed to be predefined by the context as
"builtins" or "low-level" f... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@mpmath@py3@mpmath@functions@functions.py@.PATH_END.py |
{
"filename": "Misc.py",
"repo_name": "wmpg/WesternMeteorPyLib",
"repo_path": "WesternMeteorPyLib_extracted/WesternMeteorPyLib-master/wmpl/Utils/Misc.py",
"type": "Python"
} | from __future__ import print_function, division, absolute_import
import numpy as np
def valueFormat(value_format, value, unc_format, unc, std_name, multi=None, deg=False, callable_val=None, \
callable_ci=None):
""" Returns the formatted value with an uncertanty an confidence interval, if the uncertanty is gi... | wmpgREPO_NAMEWesternMeteorPyLibPATH_START.@WesternMeteorPyLib_extracted@WesternMeteorPyLib-master@wmpl@Utils@Misc.py@.PATH_END.py |
{
"filename": "abstract_serial_dome.py",
"repo_name": "panoptes/POCS",
"repo_path": "POCS_extracted/POCS-main/src/panoptes/pocs/dome/abstract_serial_dome.py",
"type": "Python"
} | from panoptes.pocs import dome
from panoptes.utils import error
from panoptes.utils import rs232
class AbstractSerialDome(dome.AbstractDome):
"""Abstract base class for controlling a dome via a serial connection.
Takes care of a single thing: configuring the connection to the device.
"""
def __init_... | panoptesREPO_NAMEPOCSPATH_START.@POCS_extracted@POCS-main@src@panoptes@pocs@dome@abstract_serial_dome.py@.PATH_END.py |
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