metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_valuessrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/table/header/_valuessrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValuessrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="valuessrc", parent_name="table.header", **kwargs):
super(ValuessrcValidator, 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@table@header@_valuessrc.py@.PATH_END.py |
{
"filename": "ClassFitTEC.py",
"repo_name": "saopicc/killMS",
"repo_path": "killMS_extracted/killMS-master/killMS/Other/ClassFitTEC.py",
"type": "Python"
} | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from DDFacet.Other import logger
log=logger.getLogger("ClassFitTEC")
import killMS.Array.ModLinAlg
K=8.4479745e9
import scipy.sparse
from DDFacet.Other import ClassTimeIt
logger.setSilent(["C... | saopiccREPO_NAMEkillMSPATH_START.@killMS_extracted@killMS-master@killMS@Other@ClassFitTEC.py@.PATH_END.py |
{
"filename": "plot_c_fitting.ipynb",
"repo_name": "jpierel14/sntd",
"repo_path": "sntd_extracted/sntd-master/docs/source/examples/plot_c_fitting.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
```
# Measure Time Delays
A series of examples demonstrating various fitting options/features
with SNTD.
There are 3 methods built into SNTD to measure time delays
(parallel, series, color). They are accessed by the same
function: :py:func:`~sntd.fitting.fit_data` .
Here ``myMISN`` w... | jpierel14REPO_NAMEsntdPATH_START.@sntd_extracted@sntd-master@docs@source@examples@plot_c_fitting.ipynb@.PATH_END.py |
{
"filename": "_z.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/scene/camera/eye/_z.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ZValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="z", parent_name="layout.scene.camera.eye", **kwargs
):
super(ZValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@scene@camera@eye@_z.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "adrn/gala",
"repo_path": "gala_extracted/gala-main/gala/potential/frame/tests/__init__.py",
"type": "Python"
} | adrnREPO_NAMEgalaPATH_START.@gala_extracted@gala-main@gala@potential@frame@tests@__init__.py@.PATH_END.py | |
{
"filename": "units.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/utils/units.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Units and Quantity related helper functions."""
import logging
from math import floor
import numpy as np
import astropy.units as u
__all__ = ["standardise_unit", "unit_from_fits_image_hdu"]
log = logging.getLogger(__name__)
def standardise_unit(unit... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@utils@units.py@.PATH_END.py |
{
"filename": "clova.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/embeddings/clova.py",
"type": "Python"
} | from __future__ import annotations
from typing import Any, Dict, List, Optional, cast
import requests
from langchain_core._api.deprecation import deprecated
from langchain_core.embeddings import Embeddings
from langchain_core.utils import convert_to_secret_str, get_from_dict_or_env
from pydantic import BaseModel, Con... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@embeddings@clova.py@.PATH_END.py |
{
"filename": "noxfile.py",
"repo_name": "cosmicrays/hermes",
"repo_path": "hermes_extracted/hermes-master/lib/pybind11/noxfile.py",
"type": "Python"
} | import os
import nox
nox.needs_version = ">=2022.1.7"
nox.options.sessions = ["lint", "tests", "tests_packaging"]
PYTHON_VERSIONS = [
"3.6",
"3.7",
"3.8",
"3.9",
"3.10",
"3.11",
"pypy3.7",
"pypy3.8",
"pypy3.9",
]
if os.environ.get("CI", None):
nox.options.error_on_missing_int... | cosmicraysREPO_NAMEhermesPATH_START.@hermes_extracted@hermes-master@lib@pybind11@noxfile.py@.PATH_END.py |
{
"filename": "1-bug_report.md",
"repo_name": "LSSTDESC/rail",
"repo_path": "rail_extracted/rail-main/.github/ISSUE_TEMPLATE/1-bug_report.md",
"type": "Markdown"
} | ---
name: Bug report
about: Tell us about a problem to fix
title: 'Short description'
labels: 'bug'
assignees: ''
---
**Bug report**
**Before submitting**
Please check the following:
- [ ] I have described the situation in which the bug arose, including what code was executed, information about my environment, and ... | LSSTDESCREPO_NAMErailPATH_START.@rail_extracted@rail-main@.github@ISSUE_TEMPLATE@1-bug_report.md@.PATH_END.py |
{
"filename": "spectra.py",
"repo_name": "gammapy/gammapy",
"repo_path": "gammapy_extracted/gammapy-main/gammapy/astro/darkmatter/spectra.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Dark matter spectra."""
import numpy as np
import astropy.units as u
from astropy.table import Table
from gammapy.maps import Map, MapAxis, RegionGeom
from gammapy.modeling import Parameter
from gammapy.modeling.models import SpectralModel, TemplateNDS... | gammapyREPO_NAMEgammapyPATH_START.@gammapy_extracted@gammapy-main@gammapy@astro@darkmatter@spectra.py@.PATH_END.py |
{
"filename": "modules.py",
"repo_name": "yqiuu/starduster",
"repo_path": "starduster_extracted/starduster-main/starduster/modules.py",
"type": "Python"
} | import torch
from torch import nn
from torch.nn import functional as F
from numpy import pi
__all__ = [
"Monotonic", "Unimodal", "Smooth", "PlankianMixture", "Transfer",
"LInfLoss", "create_mlp", "kld_trapz", "kld_binary", "reduce_loss"
]
class Monotonic(nn.Module):
def __init__(self, increase=True):
... | yqiuuREPO_NAMEstardusterPATH_START.@starduster_extracted@starduster-main@starduster@modules.py@.PATH_END.py |
{
"filename": "_uirevision.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sankey/_uirevision.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="sankey", **kwargs):
super(UirevisionValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sankey@_uirevision.py@.PATH_END.py |
{
"filename": "mask_ops.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/core/ops/mask_ops.py",
"type": "Python"
} | """
Ops for masked arrays.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import numpy as np
from pandas._libs import (
lib,
missing as libmissing,
)
if TYPE_CHECKING:
from pandas._typing import npt
def kleene_or(
left: bool | np.ndarray | libmissing.NAType,
right: bo... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@core@ops@mask_ops.py@.PATH_END.py |
{
"filename": "split.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/tools/proto_splitter/split.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@tools@proto_splitter@split.py@.PATH_END.py |
{
"filename": "tools.py",
"repo_name": "ladsantos/p-winds",
"repo_path": "p-winds_extracted/p-winds-main/p_winds/tools.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
This module contains useful tools to facilitate numerical calculations.
"""
from __future__ import (division, print_function, absolute_import,
unicode_literals)
import numpy as np
import astropy.units as u
import os
from warnings import warn
fr... | ladsantosREPO_NAMEp-windsPATH_START.@p-winds_extracted@p-winds-main@p_winds@tools.py@.PATH_END.py |
{
"filename": "param_format.py",
"repo_name": "a-griffiths/AutoSpec",
"repo_path": "AutoSpec_extracted/AutoSpec-master/param_format.py",
"type": "Python"
} | # Default configuration file for AutoSpec v 1.1.2
# DATE: 20-09-2018
# ----------- Operating Mode -------------------------------------------------------------------------------------------------------------------------------------------------------------
MODE = 'param' # 'param' or '... | a-griffithsREPO_NAMEAutoSpecPATH_START.@AutoSpec_extracted@AutoSpec-master@param_format.py@.PATH_END.py |
{
"filename": "another_test.ipynb",
"repo_name": "LucaMalavolta/PyORBIT",
"repo_path": "PyORBIT_extracted/PyORBIT-main/development/spleaf/another_test.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
# Settings
P0 = 3.8
dP = 1.25
tmax = 20
amp = [6.0, 2.0, 0.33]
phase = [0, np.pi / 2, -3*np.pi / 4]
nt = [75, 100, 50]
# True signal
tsmooth = np.linspace(0, tmax, 400)
Psmooth = P0 + dP * (tsmooth / tmax - 1 / 2)
Ysignal = [
ak * np.si... | LucaMalavoltaREPO_NAMEPyORBITPATH_START.@PyORBIT_extracted@PyORBIT-main@development@spleaf@another_test.ipynb@.PATH_END.py |
{
"filename": "planck_lite_py.py",
"repo_name": "heatherprince/planck-lite-py",
"repo_path": "planck-lite-py_extracted/planck-lite-py-master/planck_lite_py.py",
"type": "Python"
} | '''
Python version of Planck's plik-lite likelihood with the option to include
the low-ell temperature as two Gaussian bins
The official Planck likelihoods are availabe at https://pla.esac.esa.int/
The papers describing the Planck likelihoods are
Planck 2018: https://arxiv.org/abs/1907.12875
Planck 2015: https://arxiv... | heatherprinceREPO_NAMEplanck-lite-pyPATH_START.@planck-lite-py_extracted@planck-lite-py-master@planck_lite_py.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/choropleth/legendgrouptitle/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "choropleth.legendgrouptitle"
_path_str = "choropleth.legendgrouptitle.font"
_valid_props = {
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@choropleth@legendgrouptitle@_font.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/waterfall/decreasing/marker/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="line", parent_name="waterfall.decreasing.marker", **kwargs
):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@waterfall@decreasing@marker@_line.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "RafiKueng/SpaghettiLens",
"repo_path": "SpaghettiLens_extracted/SpaghettiLens-master/_backup2/apps/lenses/templatetags/__init__.py",
"type": "Python"
} | RafiKuengREPO_NAMESpaghettiLensPATH_START.@SpaghettiLens_extracted@SpaghettiLens-master@_backup2@apps@lenses@templatetags@__init__.py@.PATH_END.py | |
{
"filename": "convolutions.ipynb",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/docs/notebooks/convolutions.ipynb",
"type": "Jupyter Notebook"
} | # Generalized convolutions in JAX
<!--* freshness: { reviewed: '2024-04-08' } *-->
[](https://colab.research.google.com/github/jax-ml/jax/blob/main/docs/notebooks/convolutions.ipynb) [![Open in Kaggle](https://kaggle.com/static/images/open-in-k... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@notebooks@convolutions.ipynb@.PATH_END.py |
{
"filename": "convert_visibilities.py",
"repo_name": "ledatelescope/bifrost",
"repo_path": "bifrost_extracted/bifrost-master/python/bifrost/blocks/convert_visibilities.py",
"type": "Python"
} |
# Copyright (c) 2016-2023, The Bifrost Authors. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditi... | ledatelescopeREPO_NAMEbifrostPATH_START.@bifrost_extracted@bifrost-master@python@bifrost@blocks@convert_visibilities.py@.PATH_END.py |
{
"filename": "introduction.ipynb",
"repo_name": "philippbaumeister/ExoMDN",
"repo_path": "ExoMDN_extracted/ExoMDN-main/introduction.ipynb",
"type": "Jupyter Notebook"
} | <img src="banner.png" width=500 style="margin-left:0; margin-right:auto; padding: 20px"/>
This notebook provides an introduction to ExoMDN, a machine-learning based model for the rapid characterization of exoplanet interiors. ExoMDN is based on Mixture Density Networks (MDNs), which output a mixture of Gaussian functi... | philippbaumeisterREPO_NAMEExoMDNPATH_START.@ExoMDN_extracted@ExoMDN-main@introduction.ipynb@.PATH_END.py |
{
"filename": "b3dplot.py",
"repo_name": "SpaceOdyssey/blobby3d",
"repo_path": "blobby3d_extracted/blobby3d-master/pyblobby3d/src/pyblobby3d/b3dplot.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Plotting routines.
@author: Mathew Varidel
"""
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
class cmap:
flux = 'Greys_r'
v = 'RdYlBu_r'
vdisp = 'YlOrBr'
residuals... | SpaceOdysseyREPO_NAMEblobby3dPATH_START.@blobby3d_extracted@blobby3d-master@pyblobby3d@src@pyblobby3d@b3dplot.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/baxis/title/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._text import TextValidator
from ._offset import OffsetValidator
from ._font import FontValidator
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__,
[],
["._text.... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@baxis@title@__init__.py@.PATH_END.py |
{
"filename": "mmm.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/src/mmm.py",
"type": "Python"
} | #!/usr/bin/env python
# D. Jones - 2/13/14
"""This code is from the IDL Astronomy Users Library"""
import numpy as np
def mmm( sky_vector,
highbad = False,
debug = False,
readnoise = False,
nsky = False,
integer = "discrete",
mxiter = 50,
minsky = 20,
... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@src@mmm.py@.PATH_END.py |
{
"filename": "get_adr.py",
"repo_name": "grzeimann/Panacea",
"repo_path": "Panacea_extracted/Panacea-master/get_adr.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 20 10:46:25 2021
@author: gregz
"""
from astropy.io import fits
from astropy.modeling.models import Gaussian2D
from astropy.modeling.fitting import LevMarLSQFitter
import numpy as np
import glob
import os.path as op
from input_utils import setup_lo... | grzeimannREPO_NAMEPanaceaPATH_START.@Panacea_extracted@Panacea-master@get_adr.py@.PATH_END.py |
{
"filename": "StatsAddMin.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_support/metadata_schema_py_generated/StatsAddMin.md",
"type": "Markdown"
} | page_type: reference
<link rel="stylesheet" href="/site-assets/css/style.css">
<!-- DO NOT EDIT! Automatically generated file. -->
<div itemscope itemtype="http://developers.google.com/ReferenceObject">
<meta itemprop="name" content="tflite_support.metadata_schema_py_generated.StatsAddMin" />
<meta itemprop="path" c... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_support@metadata_schema_py_generated@StatsAddMin.md@.PATH_END.py |
{
"filename": "LaplaceErrorDistribution.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/source/LaplaceErrorDistribution.py",
"type": "Python"
} | import numpy as numpy
import math
from .Formatter import formatter as fmt
from .ScaledErrorDistribution import ScaledErrorDistribution
__author__ = "Do Kester"
__year__ = 2023
__license__ = "GPL3"
__version__ = "3.1.0"
__url__ = "https://www.bayesicfitting.nl"
__status__ = "Perpetual Beta"
# *
# * This file is par... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@source@LaplaceErrorDistribution.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/scattersmith/selected/marker/_opacity.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class OpacityValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self,
plotly_name="opacity",
parent_name="scattersmith.selected.marker",
**kwargs,
):
super(OpacityValidator, self).__init__(
plotly_name=... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@selected@marker@_opacity.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/partners/qdrant/langchain_qdrant/__init__.py",
"type": "Python"
} | from langchain_qdrant.fastembed_sparse import FastEmbedSparse
from langchain_qdrant.qdrant import QdrantVectorStore, RetrievalMode
from langchain_qdrant.sparse_embeddings import SparseEmbeddings, SparseVector
from langchain_qdrant.vectorstores import Qdrant
__all__ = [
"Qdrant",
"QdrantVectorStore",
"Spars... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@partners@qdrant@langchain_qdrant@__init__.py@.PATH_END.py |
{
"filename": "_size.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/volume/colorbar/title/font/_size.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizeValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="size", parent_name="volume.colorbar.title.font", **kwargs
):
super(SizeValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@volume@colorbar@title@font@_size.py@.PATH_END.py |
{
"filename": "test_covariance_kernels.py",
"repo_name": "ArgonneCPAC/diffmah",
"repo_path": "diffmah_extracted/diffmah-main/diffmah/diffmahpop_kernels/tests/test_covariance_kernels.py",
"type": "Python"
} | """"""
import numpy as np
from jax import random as jran
from ...tests.test_utils import _enforce_is_cov
from .. import covariance_kernels as ck
def test_param_u_param_names_propagate_properly():
gen = zip(ck.DEFAULT_COV_U_PARAMS._fields, ck.DEFAULT_COV_PARAMS._fields)
for u_key, key in gen:
assert ... | ArgonneCPACREPO_NAMEdiffmahPATH_START.@diffmah_extracted@diffmah-main@diffmah@diffmahpop_kernels@tests@test_covariance_kernels.py@.PATH_END.py |
{
"filename": "tvtk_base_handler.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/tvtk/tvtk_base_handler.py",
"type": "Python"
} | """ Handler and UI elements for tvtk objects.
"""
# Author: Vibha Srinivasan <vibha@enthought.com>
# Copyright (c) 2008-2020, Enthought, Inc.
# License: BSD Style.
from traits.api import HasTraits, Str, Instance, Property, Button, List, Enum
from traitsui.handler import Handler
from traitsui.ui_info import UIInfo
fro... | enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@tvtk@tvtk_base_handler.py@.PATH_END.py |
{
"filename": "test_empty.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/reshape/concat/test_empty.py",
"type": "Python"
} | import numpy as np
import pytest
import pandas as pd
from pandas import (
DataFrame,
RangeIndex,
Series,
concat,
date_range,
)
import pandas._testing as tm
class TestEmptyConcat:
def test_handle_empty_objects(self, sort, using_infer_string):
df = DataFrame(
np.random.defau... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@reshape@concat@test_empty.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scatter/hoverlabel/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._font import Font
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(__name__, [], ["._font.Font"])
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scatter@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "test_c_reader.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/astropy/io/ascii/tests/test_c_reader.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
try:
from cStringIO import StringIO
except ImportError: # cStringIO doesn't exist in Python 3
from io import BytesIO
StringIO = lambda x: BytesIO(x.encode('ascii'))
import os
import functools
from textwrap import dedent
import pytest
impor... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@astropy@io@ascii@tests@test_c_reader.py@.PATH_END.py |
{
"filename": "_textfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/funnelarea/_textfont.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="textfont", parent_name="funnelarea", **kwargs):
super(TextfontValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@funnelarea@_textfont.py@.PATH_END.py |
{
"filename": "combined.py",
"repo_name": "jroulet/cogwheel",
"repo_path": "cogwheel_extracted/cogwheel-main/cogwheel/gw_prior/combined.py",
"type": "Python"
} | """
Define some commonly used priors for the full set of parameters, for
convenience.
Prior classes defined here can be used for parameter estimation and
are registered in a dictionary ``prior_registry``.
"""
from cogwheel import utils
from cogwheel.prior import CombinedPrior, Prior, check_inheritance_order
from cogw... | jrouletREPO_NAMEcogwheelPATH_START.@cogwheel_extracted@cogwheel-main@cogwheel@gw_prior@combined.py@.PATH_END.py |
{
"filename": "iterative_fft_particle.py",
"repo_name": "cosmodesi/pyrecon",
"repo_path": "pyrecon_extracted/pyrecon-main/pyrecon/iterative_fft_particle.py",
"type": "Python"
} | """Re-implementation of Bautista et al. 2018 (https://arxiv.org/pdf/1712.08064.pdf) algorithm."""
import numpy as np
from .recon import BaseReconstruction, ReconstructionError
from . import utils
class OriginalIterativeFFTParticleReconstruction(BaseReconstruction):
"""
Exact re-implementation of Bautista et... | cosmodesiREPO_NAMEpyreconPATH_START.@pyrecon_extracted@pyrecon-main@pyrecon@iterative_fft_particle.py@.PATH_END.py |
{
"filename": "Executor.py",
"repo_name": "rat-pac/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Executor.py",
"type": "Python"
} | """SCons.Executor
A module for executing actions with specific lists of target and source
Nodes.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 The SCons Foundation
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documenta... | rat-pacREPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Executor.py@.PATH_END.py |
{
"filename": "backend_qt4.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/matplotlib/backends/backend_qt4.py",
"type": "Python"
} | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from six import unichr
import os
import re
import signal
import sys
from matplotlib._pylab_helpers import Gcf
from matplotlib.backend_bases import (
FigureCanvasBase, FigureManagerBase, Navigati... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@matplotlib@backends@backend_qt4.py@.PATH_END.py |
{
"filename": "version.py",
"repo_name": "tgrassi/prizmo",
"repo_path": "prizmo_extracted/prizmo-main/src_py/ChiantiPy/version.py",
"type": "Python"
} | '''
the current version of the ChiantiPy package
'''
__version_info__ = ('0','11', '1')
__version__ = '.'.join(__version_info__)
| tgrassiREPO_NAMEprizmoPATH_START.@prizmo_extracted@prizmo-main@src_py@ChiantiPy@version.py@.PATH_END.py |
{
"filename": "test_friendli.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/unit_tests/chat_models/test_friendli.py",
"type": "Python"
} | """Test Friendli LLM for chat."""
from unittest.mock import AsyncMock, MagicMock, Mock
import pytest
from pydantic import SecretStr
from pytest import CaptureFixture, MonkeyPatch
from langchain_community.adapters.openai import aenumerate
from langchain_community.chat_models import ChatFriendli
@pytest.fixture
def ... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@unit_tests@chat_models@test_friendli.py@.PATH_END.py |
{
"filename": "image.py",
"repo_name": "achael/eht-imaging",
"repo_path": "eht-imaging_extracted/eht-imaging-main/ehtim/image.py",
"type": "Python"
} | # image.py
# an interferometric image class
#
# Copyright (C) 2018 Andrew Chael
#
# This program 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 op... | achaelREPO_NAMEeht-imagingPATH_START.@eht-imaging_extracted@eht-imaging-main@ehtim@image.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/decorator/py2/tests/__init__.py",
"type": "Python"
} | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@decorator@py2@tests@__init__.py@.PATH_END.py | |
{
"filename": "fft_ops.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/tod_ops/fft_ops.py",
"type": "Python"
} | """FFTs and related operations
"""
import sys
import numdifftools as ndt
import numpy as np
import pyfftw
import so3g
from scipy.optimize import minimize
from scipy.signal import welch
from sotodlib import core
from . import detrend_tod
def _get_num_threads():
# Guess how many threads we should be using in FFT o... | simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@tod_ops@fft_ops.py@.PATH_END.py |
{
"filename": "multikernelmanager.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/jupyter-client/py3/jupyter_client/multikernelmanager.py",
"type": "Python"
} | """A kernel manager for multiple kernels"""
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import annotations
import asyncio
import json
import os
import socket
import typing as t
import uuid
from functools import wraps
from pathlib import Path
imp... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@jupyter-client@py3@jupyter_client@multikernelmanager.py@.PATH_END.py |
{
"filename": "_value.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/bar/error_x/_value.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ValueValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="value", parent_name="bar.error_x", **kwargs):
super(ValueValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@bar@error_x@_value.py@.PATH_END.py |
{
"filename": "design.md",
"repo_name": "jax-ml/jax",
"repo_path": "jax_extracted/jax-main/docs/pallas/design/design.md",
"type": "Markdown"
} | # Pallas Design
<!--* freshness: { reviewed: '2024-04-15' } *-->
In this document, we explain the initial Pallas design.
This is a snapshot of some of the earlier design decisions made
and Pallas's specific APIs might have changed since.
## Introduction
JAX is being used for a diverse set of workloads, from large s... | jax-mlREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@docs@pallas@design@design.md@.PATH_END.py |
{
"filename": "test_commands.py",
"repo_name": "simonsobs/sorunlib",
"repo_path": "sorunlib_extracted/sorunlib-main/tests/test_commands.py",
"type": "Python"
} | import os
os.environ["OCS_CONFIG_DIR"] = "./test_util/"
import pytest
import datetime as dt
from unittest.mock import MagicMock, patch
from sorunlib.commands import wait_until
def mkts(offset):
"""Make timestamp.
Args:
offset (int): Offset from current time in seconds.
Returns:
str: IS... | simonsobsREPO_NAMEsorunlibPATH_START.@sorunlib_extracted@sorunlib-main@tests@test_commands.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/_typing/setup.py",
"type": "Python"
} | def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('_typing', parent_package, top_path)
config.add_data_files('*.pyi')
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(configuratio... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@_typing@setup.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "EranOfek/AstroPack",
"repo_path": "AstroPack_extracted/AstroPack-main/matlab/doc/README.md",
"type": "Markdown"
} | # MATLAB Doc Folder
| EranOfekREPO_NAMEAstroPackPATH_START.@AstroPack_extracted@AstroPack-main@matlab@doc@README.md@.PATH_END.py |
{
"filename": "test_tolerancing.py",
"repo_name": "chandra-marx/marxs",
"repo_path": "marxs_extracted/marxs-main/marxs/design/tests/test_tolerancing.py",
"type": "Python"
} | import os
import tempfile
import numpy as np
import pytest
import astropy.units as u
from astropy.table import Table
from astropy.coordinates import SkyCoord
from astropy.utils.data import get_pkg_data_filename
from marxs.design.tolerancing import (oneormoreelements,
wiggle, moveglobal, mov... | chandra-marxREPO_NAMEmarxsPATH_START.@marxs_extracted@marxs-main@marxs@design@tests@test_tolerancing.py@.PATH_END.py |
{
"filename": "fitting.py",
"repo_name": "jpierel14/sntd",
"repo_path": "sntd_extracted/sntd-master/sntd/fitting.py",
"type": "Python"
} | import warnings
import sncosmo
import os
import sys
import pyParz
import pickle
import subprocess
import glob
import math
import time
import tarfile
import numpy as np
import matplotlib.pyplot as plt
from copy import copy
from scipy import stats
from astropy.table import Table
import nestle
from sklearn.gaussian_proces... | jpierel14REPO_NAMEsntdPATH_START.@sntd_extracted@sntd-master@sntd@fitting.py@.PATH_END.py |
{
"filename": "plot_disk_fit.py",
"repo_name": "mkenworthy/exorings",
"repo_path": "exorings_extracted/exorings-master/plot_disk_fit.py",
"type": "Python"
} | import sys, getopt
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import exorings
from astropy.io import ascii
# set sensible imshow defaults
mpl.rc('image', interpolation='nearest', origin='lower', cmap='gray')
mpl.rc('axes.formatter', limits=(-7, 7))
def plot_gradient_fit(t, f, fn, xt... | mkenworthyREPO_NAMEexoringsPATH_START.@exorings_extracted@exorings-master@plot_disk_fit.py@.PATH_END.py |
{
"filename": "dataset.py",
"repo_name": "facebookresearch/faiss",
"repo_path": "faiss_extracted/faiss-main/demos/offline_ivf/dataset.py",
"type": "Python"
} | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
import faiss
from typing import List
import random
import logging
from functools import lru_cache
def create_... | facebookresearchREPO_NAMEfaissPATH_START.@faiss_extracted@faiss-main@demos@offline_ivf@dataset.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "Keck-DataReductionPipelines/KPF-Pipeline",
"repo_path": "KPF-Pipeline_extracted/KPF-Pipeline-master/modules/var_exts/src/__init__.py",
"type": "Python"
} | Keck-DataReductionPipelinesREPO_NAMEKPF-PipelinePATH_START.@KPF-Pipeline_extracted@KPF-Pipeline-master@modules@var_exts@src@__init__.py@.PATH_END.py | |
{
"filename": "gen_qa_models.py",
"repo_name": "triton-inference-server/server",
"repo_path": "server_extracted/server-main/qa/common/gen_qa_models.py",
"type": "Python"
} | #!/usr/bin/env python3
# Copyright 2018-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# * Redistributions of source code must retain the above copyright
... | triton-inference-serverREPO_NAMEserverPATH_START.@server_extracted@server-main@qa@common@gen_qa_models.py@.PATH_END.py |
{
"filename": "LICENSE.md",
"repo_name": "martinjameswhite/litemangle",
"repo_path": "litemangle_extracted/litemangle-master/LICENSE.md",
"type": "Markdown"
} | The MIT License (MIT)
Copyright (c) 2015 Martin White
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, pub... | martinjameswhiteREPO_NAMElitemanglePATH_START.@litemangle_extracted@litemangle-master@LICENSE.md@.PATH_END.py |
{
"filename": "asciidata-checkpoint.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/lib/asciidata/.ipynb_checkpoints/asciidata-checkpoint.py",
"type": "Python"
} | """
Main class of the asciidata module
@author: Martin Kuemmel, Jonas Haase
@organization: Space Telescope - European Coordinating Facility (ST-ECF)
@license: Gnu Public Licence
@contact: mkuemmel@eso.org
@since: 2005/09/13
$LastChangedBy: mkuemmel $
$LastChangedDate: 2008-01-08 18:17:08 +0100 (Tue, 08 Jan 2008) $
$L... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@lib@asciidata@.ipynb_checkpoints@asciidata-checkpoint.py@.PATH_END.py |
{
"filename": "parameters_f2_image.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/f2/parameters_f2_image.py",
"type": "Python"
} | # This parameter file contains the parameters related to the primitives located
# in the primitives_f2.py file, in alphabetical order.
from gempy.library import config
from astrodata import AstroData
from geminidr.core import parameters_photometry, parameters_stack, parameters_nearIR
class addDQConfig(parameters_nearI... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@f2@parameters_f2_image.py@.PATH_END.py |
{
"filename": "Obiwan_fibflux.ipynb",
"repo_name": "desihub/LSS",
"repo_path": "LSS_extracted/LSS-main/Sandbox/Obiwan_fibflux.ipynb",
"type": "Jupyter Notebook"
} | ```python
import fitsio
import numpy as np
from matplotlib import pyplot as plt
```
```python
params = {'legend.fontsize': 'x-large',
'axes.labelsize': 'x-large',
'axes.titlesize':'x-large',
'xtick.labelsize':'x-large',
'ytick.labelsize':'x-large',
'figure.facecolor':'w'} ... | desihubREPO_NAMELSSPATH_START.@LSS_extracted@LSS-main@Sandbox@Obiwan_fibflux.ipynb@.PATH_END.py |
{
"filename": "test_peakfinder.py",
"repo_name": "astropy/photutils",
"repo_path": "photutils_extracted/photutils-main/photutils/detection/tests/test_peakfinder.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Tests for the peakfinder module.
"""
import astropy.units as u
import numpy as np
import pytest
from astropy.tests.helper import assert_quantity_allclose
from numpy.testing import assert_array_equal, assert_equal
from photutils.centroids import centr... | astropyREPO_NAMEphotutilsPATH_START.@photutils_extracted@photutils-main@photutils@detection@tests@test_peakfinder.py@.PATH_END.py |
{
"filename": "_title.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2dcontour/colorbar/_title.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TitleValidator(_plotly_utils.basevalidators.TitleValidator):
def __init__(
self, plotly_name="title", parent_name="histogram2dcontour.colorbar", **kwargs
):
super(TitleValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2dcontour@colorbar@_title.py@.PATH_END.py |
{
"filename": "act_dr6_lenslike.py",
"repo_name": "ACTCollaboration/act_dr6_lenslike",
"repo_path": "act_dr6_lenslike_extracted/act_dr6_lenslike-main/act_dr6_lenslike/act_dr6_lenslike.py",
"type": "Python"
} | import numpy as np
import warnings
from scipy.interpolate import interp1d
try:
from cobaya.likelihoods.base_classes import InstallableLikelihood
except:
InstallableLikelihood = object
import os
default_version = "v1.2"
variants =[x.strip() for x in '''
act_baseline,
act_extended,
actplanck_baseline,
actplanck... | ACTCollaborationREPO_NAMEact_dr6_lenslikePATH_START.@act_dr6_lenslike_extracted@act_dr6_lenslike-main@act_dr6_lenslike@act_dr6_lenslike.py@.PATH_END.py |
{
"filename": "bls.py",
"repo_name": "RadioAstronomySoftwareGroup/pyuvdata",
"repo_path": "pyuvdata_extracted/pyuvdata-main/src/pyuvdata/utils/bls.py",
"type": "Python"
} | # Copyright (c) 2024 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
"""Utilities for baseline numbers."""
import copy
import re
import warnings
import numpy as np
from . import _bls
from .pol import conj_pol, polnum2str, polstr2num
__all__ = ["baseline_to_antnums", "antnums_to_baseline"]
... | RadioAstronomySoftwareGroupREPO_NAMEpyuvdataPATH_START.@pyuvdata_extracted@pyuvdata-main@src@pyuvdata@utils@bls.py@.PATH_END.py |
{
"filename": "inkpot.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py2/pygments/styles/inkpot.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
pygments.styles.inkpot
~~~~~~~~~~~~~~~~~~~~~~
A highlighting style for Pygments, inspired by the Inkpot theme for VIM.
:copyright: Copyright 2006-2019 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.style import Style
from p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py2@pygments@styles@inkpot.py@.PATH_END.py |
{
"filename": "_nticks.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/colorbar/_nticks.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class NticksValidator(_plotly_utils.basevalidators.IntegerValidator):
def __init__(
self, plotly_name="nticks", parent_name="contourcarpet.colorbar", **kwargs
):
super(NticksValidator, self).__init__(
plotly_name=plotly_name,
parent_n... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@colorbar@_nticks.py@.PATH_END.py |
{
"filename": "thermalFlags.py",
"repo_name": "barentsen/dave",
"repo_path": "dave_extracted/dave-master/susanplay/thermalFlags.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 7 16:58:43 2016
@author: smullall
"""
import dave.susanplay.mainSusan as mS
import dave.pipeline.pipeline as pipe
import numpy as np
import dave.pipeline.clipboard as c
def countThermFlags(clip):
thermal=dict()
#Create the light curves.
clip['config']['da... | barentsenREPO_NAMEdavePATH_START.@dave_extracted@dave-master@susanplay@thermalFlags.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/isosurface/caps/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._x import X
from ._y import Y
from ._z import Z
else:
from _plotly_utils.importers import relative_import
__all__, __getattr__, __dir__ = relative_import(
__name__, [], ["._x.X", "._y.Y", "._z.Z"]
)
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@isosurface@caps@__init__.py@.PATH_END.py |
{
"filename": "test_sigma_clip.py",
"repo_name": "RuthAngus/starspot",
"repo_path": "starspot_extracted/starspot-master/tests/test_sigma_clip.py",
"type": "Python"
} | # import numpy as np
# import matplotlib.pyplot as plt
# from starspot.rotation_tools import filter_sigma_clip, sigma_clip
# def test_sigma_clip():
# np.random.seed(42)
# N, Nout = 1000, 20
# t0 = np.linspace(0, 100, N)
# p = 10
# w = 2*np.pi/p
# y0 = np.sin(w*t0) + np.random.randn(N)*.1
# ... | RuthAngusREPO_NAMEstarspotPATH_START.@starspot_extracted@starspot-master@tests@test_sigma_clip.py@.PATH_END.py |
{
"filename": "plot.py",
"repo_name": "Q3D/q3dfit",
"repo_path": "q3dfit_extracted/q3dfit-main/q3dfit/plot.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import math
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
import numpy as np
from q3dfit.q3dmath import cmplin
from q3dfit.q3dutil import lmlabel
from q3dfit.exceptions import InitializationError
from q3dfit.questfitfcn import readcf
from matplotl... | Q3DREPO_NAMEq3dfitPATH_START.@q3dfit_extracted@q3dfit-main@q3dfit@plot.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "LSSTDESC/Spectractor",
"repo_path": "Spectractor_extracted/Spectractor-master/spectractor/__init__.py",
"type": "Python"
} | LSSTDESCREPO_NAMESpectractorPATH_START.@Spectractor_extracted@Spectractor-master@spectractor@__init__.py@.PATH_END.py | |
{
"filename": "GalRotpy-checkpoint.ipynb",
"repo_name": "andresGranadosC/GalRotpy",
"repo_path": "GalRotpy_extracted/GalRotpy-master/notebook/.ipynb_checkpoints/GalRotpy-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```python
from matplotlib.widgets import Slider, Button, RadioButtons, CheckButtons, TextBox # Matplotlib widgets
import matplotlib.pylab as plt # Plotting interface
import numpy as np
from galpy.potential import MiyamotoNagaiPotential, NFWPotential, RazorThinExponentialDiskPotential, BurkertPotential # GALPY potential... | andresGranadosCREPO_NAMEGalRotpyPATH_START.@GalRotpy_extracted@GalRotpy-master@notebook@.ipynb_checkpoints@GalRotpy-checkpoint.ipynb@.PATH_END.py |
{
"filename": "pretty_printer.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/_src/pretty_printer.py",
"type": "Python"
} | # Copyright 2021 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... | googleREPO_NAMEjaxPATH_START.@jax_extracted@jax-main@jax@_src@pretty_printer.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/data/__init__.py",
"type": "Python"
} | """
Built-in datasets for demonstration, educational and test purposes.
"""
def gapminder(datetimes=False, centroids=False, year=None, pretty_names=False):
"""
Each row represents a country on a given year.
https://www.gapminder.org/data/
Returns:
A `pandas.DataFrame` with 1704 rows and the ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@data@__init__.py@.PATH_END.py |
{
"filename": "grid_parameters.py",
"repo_name": "dmvandamt/beyonce",
"repo_path": "beyonce_extracted/beyonce-main/beyonce/shallot/grid_parameters.py",
"type": "Python"
} | """
This module contains the parameter class used to hold grid information and
instantiate new shallot grids.
"""
from __future__ import annotations
import os
import numpy as np
import beyonce.validate as validate
from beyonce.shallot.errors import LoadError, InvalidBoundsError, OriginMissingError
class Parameter... | dmvandamtREPO_NAMEbeyoncePATH_START.@beyonce_extracted@beyonce-main@beyonce@shallot@grid_parameters.py@.PATH_END.py |
{
"filename": "_linepositionsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/hoverlabel/font/_linepositionsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="linepositionsrc",
parent_name="scattersmith.hoverlabel.font",
**kwargs,
):
super(LinepositionsrcValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@hoverlabel@font@_linepositionsrc.py@.PATH_END.py |
{
"filename": "ChangeLog.md",
"repo_name": "PhaseTracer/PhaseTracer",
"repo_path": "PhaseTracer_extracted/PhaseTracer-master/ChangeLog.md",
"type": "Markdown"
} | ## PhaseTracer-1.0.0 [March 4, 2020]
* Initial release
## PhaseTracer-1.0.1 [April 10, 2020]
* Setup automatic build & tests etc
* BugFix: calculate_sm_masses setting in FlexibleSUSY should be set to 1 or 0.
* Fix cmake building of FS example to always use tagged version v2.4.1 of the code.
## PhaseTracer-1.0.2 [Ap... | PhaseTracerREPO_NAMEPhaseTracerPATH_START.@PhaseTracer_extracted@PhaseTracer-master@ChangeLog.md@.PATH_END.py |
{
"filename": "plot_P_Pdot_search.py",
"repo_name": "nhurleywalker/GPMTransient",
"repo_path": "GPMTransient_extracted/GPMTransient-main/P_Pdot_diagram/plot_P_Pdot_search.py",
"type": "Python"
} | #from astropy.table import Table
#from astropy.coordinates import SkyCoord
#from astropy import unit as u
#import scipy.ndimage
#from scipy.ndimage.filters import gaussian_filter
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import markers
from matplotlib.path import Path
from matplotlib.color... | nhurleywalkerREPO_NAMEGPMTransientPATH_START.@GPMTransient_extracted@GPMTransient-main@P_Pdot_diagram@plot_P_Pdot_search.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "EranOfek/AstroPack",
"repo_path": "AstroPack_extracted/AstroPack-main/matlab/apps/app_snr/README.md",
"type": "Markdown"
} | # SNR Applications
| EranOfekREPO_NAMEAstroPackPATH_START.@AstroPack_extracted@AstroPack-main@matlab@apps@app_snr@README.md@.PATH_END.py |
{
"filename": "makeMassFunctionPlotsCCL_recovered.py",
"repo_name": "simonsobs/nemo",
"repo_path": "nemo_extracted/nemo-main/examples/SOSims/validationScripts/makeMassFunctionPlotsCCL_recovered.py",
"type": "Python"
} | """
Plot the mass function in z bins.
Range adjusted to drop the last bin, which is more incomplete in the sense that it may not cover that
full mass bin (whereas all other bins are guaranteed to by definition).
"""
import os
import sys
import astropy.table as atpy
import astropy.io.fits as pyfits
import IPython
im... | simonsobsREPO_NAMEnemoPATH_START.@nemo_extracted@nemo-main@examples@SOSims@validationScripts@makeMassFunctionPlotsCCL_recovered.py@.PATH_END.py |
{
"filename": "ryota_plot.py",
"repo_name": "grzeimann/Remedy",
"repo_path": "Remedy_extracted/Remedy-master/ryota_plot.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 13 09:29:15 2019
@author: gregz
"""
from astroquery.sdss import SDSS
from astropy.table import Table
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
import seaborn as sns
import numpy as np
import matplotlib
from table... | grzeimannREPO_NAMERemedyPATH_START.@Remedy_extracted@Remedy-master@ryota_plot.py@.PATH_END.py |
{
"filename": "quickguide.py",
"repo_name": "exosports/BART",
"repo_path": "BART_extracted/BART-master/scripts/quickguide.py",
"type": "Python"
} | # ::: Frequently-Used Scripts :::
# -------------------------------
# Index:
# ( 0) Make a log-scaled pressure profile.
# ( 1) Make a Temperature profile.
# ( 2) Make an atmospheric file with uniform abundances.
# ( 3) Read and plot a transit spectrum.
# ( 4) Calculate the minimum and maximum line-profile widths.
# ( ... | exosportsREPO_NAMEBARTPATH_START.@BART_extracted@BART-master@scripts@quickguide.py@.PATH_END.py |
{
"filename": "readCoREAS.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioReco/modules/io/coreas/readCoREAS.py",
"type": "Python"
} | from NuRadioReco.modules.base.module import register_run
import h5py
import NuRadioReco.framework.event
import NuRadioReco.framework.station
import NuRadioReco.framework.radio_shower
from radiotools import coordinatesystems as cstrafo
from NuRadioReco.modules.io.coreas import coreas
from NuRadioReco.utilities import un... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioReco@modules@io@coreas@readCoREAS.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/cone/legendgrouptitle/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="cone.legendgrouptitle.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
paren... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@cone@legendgrouptitle@font@_family.py@.PATH_END.py |
{
"filename": "_ticktextsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/marker/colorbar/_ticktextsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicktextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="ticktextsrc",
parent_name="scattermap.marker.colorbar",
**kwargs,
):
super(TicktextsrcValidator, self).__init__(
plotl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattermap@marker@colorbar@_ticktextsrc.py@.PATH_END.py |
{
"filename": "puntopi-checkpoint.ipynb",
"repo_name": "Monsalves-Gonzalez-N/Paper_OGLE",
"repo_path": "Paper_OGLE_extracted/Paper_OGLE-main/.ipynb_checkpoints/puntopi-checkpoint.ipynb",
"type": "Jupyter Notebook"
} | ```python
from CNN_2dhist_function import *
```
2024-01-11 18:04:18.640756: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable ... | Monsalves-Gonzalez-NREPO_NAMEPaper_OGLEPATH_START.@Paper_OGLE_extracted@Paper_OGLE-main@.ipynb_checkpoints@puntopi-checkpoint.ipynb@.PATH_END.py |
{
"filename": "test_scene.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/visualization/volume_rendering/tests/test_scene.py",
"type": "Python"
} | import os
import shutil
import tempfile
from unittest import TestCase
import numpy as np
from yt.testing import assert_fname, fake_random_ds, fake_vr_orientation_test_ds
from yt.visualization.volume_rendering.api import (
create_scene,
create_volume_source,
volume_render,
)
def setup():
"""Test spec... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@visualization@volume_rendering@tests@test_scene.py@.PATH_END.py |
{
"filename": "test_wap.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/webservice/test/test_wap.py",
"type": "Python"
} | #####################################################################################
#
# Copyright (c) typedef int GmbH
# SPDX-License-Identifier: EUPL-1.2
#
#####################################################################################
import os
from twisted.trial.unittest import TestCase
from werkzeug.rou... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@webservice@test@test_wap.py@.PATH_END.py |
{
"filename": "Plots.ipynb",
"repo_name": "ricardoclandim/NIRVANA",
"repo_path": "NIRVANA_extracted/NIRVANA-master/Plots.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib.pyplot as plt
import numpy as np
import multiprocessing as mp
from glob import glob
from tqdm import tqdm_notebook as tqdm
from nirvana.data.manga import MaNGAGasKinematics, MaNGAStellarKinematics
from nirvana.models.higher_order import bisym_model
from nirvana.util.fits_prep import fileprep... | ricardoclandimREPO_NAMENIRVANAPATH_START.@NIRVANA_extracted@NIRVANA-master@Plots.ipynb@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "riogroup/SORA",
"repo_path": "SORA_extracted/SORA-master/sora/body/core.py",
"type": "Python"
} | import warnings
import astropy.constants as const
import astropy.units as u
import numpy as np
from astropy.coordinates import SkyCoord, Longitude, Latitude
from astropy.time import Time
from sora.config import input_tests
from .frame import get_archinal_frame
from .meta import BaseBody, PhysicalData
from .utils impo... | riogroupREPO_NAMESORAPATH_START.@SORA_extracted@SORA-master@sora@body@core.py@.PATH_END.py |
{
"filename": "lock.py",
"repo_name": "sdss/idlspec2d",
"repo_path": "idlspec2d_extracted/idlspec2d-master/python/boss_drp/utils/lock.py",
"type": "Python"
} | import os
import time
def lock(file, pause=5, niter=None):
"""Attempt to acquire a file lock by creating a symlink. Retry on failure."""
i = 0
while True:
if niter is not None and i == niter:
break
i += 1
try:
os.symlink(file, file + '.lock')
retu... | sdssREPO_NAMEidlspec2dPATH_START.@idlspec2d_extracted@idlspec2d-master@python@boss_drp@utils@lock.py@.PATH_END.py |
{
"filename": "_token.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/carpet/stream/_token.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TokenValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="token", parent_name="carpet.stream", **kwargs):
super(TokenValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@carpet@stream@_token.py@.PATH_END.py |
{
"filename": "theoretical_lf.py",
"repo_name": "cylammarco/WDPhotTools",
"repo_path": "WDPhotTools_extracted/WDPhotTools-main/src/WDPhotTools/theoretical_lf.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""For computing theorectical WDLFs"""
import warnings
import os
import numpy as np
from scipy import optimize, integrate
from scipy.interpolate import interp1d
from matplotlib import pyplot as plt
from .atmosphere_model_reader import AtmosphereModelReader
from .coolin... | cylammarcoREPO_NAMEWDPhotToolsPATH_START.@WDPhotTools_extracted@WDPhotTools-main@src@WDPhotTools@theoretical_lf.py@.PATH_END.py |
{
"filename": "analysis.py",
"repo_name": "Samreay/ChainConsumer",
"repo_path": "ChainConsumer_extracted/ChainConsumer-master/src/chainconsumer/analysis.py",
"type": "Python"
} | from __future__ import annotations
import logging
from collections.abc import Callable
from pathlib import Path
import numpy as np
from pydantic import Field
from scipy.integrate import simpson as simps
from scipy.interpolate import interp1d
from scipy.ndimage import gaussian_filter
from .base import BetterBase
from... | SamreayREPO_NAMEChainConsumerPATH_START.@ChainConsumer_extracted@ChainConsumer-master@src@chainconsumer@analysis.py@.PATH_END.py |
{
"filename": "cadence_metrics.py",
"repo_name": "lsst/rubin_sim",
"repo_path": "rubin_sim_extracted/rubin_sim-main/rubin_sim/maf/metrics/cadence_metrics.py",
"type": "Python"
} | __all__ = (
"TemplateExistsMetric",
"UniformityMetric",
"GeneralUniformityMetric",
"RapidRevisitUniformityMetric",
"RapidRevisitMetric",
"NRevisitsMetric",
"IntraNightGapsMetric",
"InterNightGapsMetric",
"VisitGapMetric",
)
import numpy as np
from .base_metric import BaseMetric
c... | lsstREPO_NAMErubin_simPATH_START.@rubin_sim_extracted@rubin_sim-main@rubin_sim@maf@metrics@cadence_metrics.py@.PATH_END.py |
{
"filename": "_histogram2d.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/_histogram2d.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Histogram2d(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "histogram2d"
_valid_props = {
"autobinx",
"autobiny",
"autocolorscale",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@_histogram2d.py@.PATH_END.py |
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