metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "_textcasesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/volume/hoverlabel/font/_textcasesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcasesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="textcasesrc", parent_name="volume.hoverlabel.font", **kwargs
):
super(TextcasesrcValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@volume@hoverlabel@font@_textcasesrc.py@.PATH_END.py |
{
"filename": "calculator.py",
"repo_name": "NannyML/nannyml",
"repo_path": "nannyml_extracted/nannyml-main/nannyml/stats/std/calculator.py",
"type": "Python"
} | # Author: Nikolaos Perrakis <nikos@nannyml.com>
#
# License: Apache Software License 2.0
"""Simple Statistics Standard Deviation Module."""
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from pandas import MultiIndex
from nannyml.base import AbstractCalculator... | NannyMLREPO_NAMEnannymlPATH_START.@nannyml_extracted@nannyml-main@nannyml@stats@std@calculator.py@.PATH_END.py |
{
"filename": "misc.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/frontends/_skeleton/misc.py",
"type": "Python"
} | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@frontends@_skeleton@misc.py@.PATH_END.py | |
{
"filename": "3D_Visualization_Jet_Curry_Paper_WISE_KnotD_Radio_20200303_Version4.0_3D_PLOTLY_GitHub.ipynb",
"repo_name": "esperlman/JetCurry",
"repo_path": "JetCurry_extracted/JetCurry-master/3D_Visualization_Jet_Curry_Paper_WISE_KnotD_Radio_20200303_Version4.0_3D_PLOTLY_GitHub.ipynb",
"type": "Jupyter Notebo... | ```python
'''
PROJECT TITLE: THREE-DIMENSIONAL (3-D) VISUALIZATION OF RELATIVISTIC JET GEOMETRY
AUTHOR: Sailee M. Sawant
A part of the JetCurry Project Collaboration:
Authors: Kunyang Li, Katie Kosak, Sayali S. Avachat, Sailee M. Sawant, Eric S. Perlman, Debasis Mitra
PURPOSE: To create three-dimensional ... | esperlmanREPO_NAMEJetCurryPATH_START.@JetCurry_extracted@JetCurry-master@3D_Visualization_Jet_Curry_Paper_WISE_KnotD_Radio_20200303_Version4.0_3D_PLOTLY_GitHub.ipynb@.PATH_END.py |
{
"filename": "parameterized.py",
"repo_name": "freelunchtheorem/Conditional_Density_Estimation",
"repo_path": "Conditional_Density_Estimation_extracted/Conditional_Density_Estimation-master/cde/utils/tf_utils/parameterized.py",
"type": "Python"
} | from contextlib import contextmanager
from cde.utils.serializable import Serializable
from cde.utils.tf_utils.tensor_utils import flatten_tensors, unflatten_tensors
import tensorflow as tf
load_params = True
@contextmanager
def suppress_params_loading():
global load_params
load_params = False
yield
... | freelunchtheoremREPO_NAMEConditional_Density_EstimationPATH_START.@Conditional_Density_Estimation_extracted@Conditional_Density_Estimation-master@cde@utils@tf_utils@parameterized.py@.PATH_END.py |
{
"filename": "test_tiledb.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/tests/integration_tests/vectorstores/test_tiledb.py",
"type": "Python"
} | from pathlib import Path
import numpy as np
import pytest
from langchain_core.documents import Document
from langchain_community.vectorstores.tiledb import TileDB
from tests.integration_tests.vectorstores.fake_embeddings import (
ConsistentFakeEmbeddings,
FakeEmbeddings,
)
@pytest.mark.requires("tiledb-vect... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@tests@integration_tests@vectorstores@test_tiledb.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/sotodlib",
"repo_path": "sotodlib_extracted/sotodlib-master/sotodlib/coords/__init__.py",
"type": "Python"
} | from .pmat import P
from .helpers import (
get_radec, get_horiz, get_footprint, get_wcs_kernel, get_supergeom,
Timer, DEG, ScalarLastQuat
)
from . import planets
from . import local
from .plotting import *
from . import demod
from . import pointing_model
from . import healpix_utils
| simonsobsREPO_NAMEsotodlibPATH_START.@sotodlib_extracted@sotodlib-master@sotodlib@coords@__init__.py@.PATH_END.py |
{
"filename": "test_conversion.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/base/test_conversion.py",
"type": "Python"
} | import numpy as np
import pytest
from pandas.compat import HAS_PYARROW
from pandas.compat.numpy import np_version_gt2
from pandas.core.dtypes.dtypes import DatetimeTZDtype
import pandas as pd
from pandas import (
CategoricalIndex,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@base@test_conversion.py@.PATH_END.py |
{
"filename": "synthetic_population.py",
"repo_name": "dusanmarceta/Synthetic-Population-of-Interstellar-Objects",
"repo_path": "Synthetic-Population-of-Interstellar-Objects_extracted/Synthetic-Population-of-Interstellar-Objects-main/synthetic_population.py",
"type": "Python"
} | import numpy as np
from scipy import interpolate
from scipy.integrate import simps, cumtrapz
from tqdm import tqdm
from scipy.stats import multivariate_normal
# constants
au=1.495978707e11 # astronomical unit
mu=1.32712440042e20 # standard gravitional parameter of the Sun
def p_vx_vy_vz(vx, sigma_vx, mu_x, vy, sigma... | dusanmarcetaREPO_NAMESynthetic-Population-of-Interstellar-ObjectsPATH_START.@Synthetic-Population-of-Interstellar-Objects_extracted@Synthetic-Population-of-Interstellar-Objects-main@synthetic_population.py@.PATH_END.py |
{
"filename": "torch_utils_test.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/utils/torch_utils_test.py",
"type": "Python"
} | import os
import numpy as np
import pytest
import torch
from absl.testing import parameterized
from keras.src import backend
from keras.src import layers
from keras.src import models
from keras.src import saving
from keras.src import testing
from keras.src.utils.torch_utils import TorchModuleWrapper
class Classifie... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@utils@torch_utils_test.py@.PATH_END.py |
{
"filename": "test_static.py",
"repo_name": "einsteinpy/einsteinpy",
"repo_path": "einsteinpy_extracted/einsteinpy-main/tests/test_plotting/test_geodesic/test_static.py",
"type": "Python"
} | from unittest import mock
import numpy as np
import pytest
import warnings
from matplotlib.axes import Axes
from matplotlib import pyplot as plt
from einsteinpy.geodesic import Timelike
from einsteinpy.plotting import StaticGeodesicPlotter
@pytest.fixture()
def dummy_geod():
return Timelike(
metric="Ker... | einsteinpyREPO_NAMEeinsteinpyPATH_START.@einsteinpy_extracted@einsteinpy-main@tests@test_plotting@test_geodesic@test_static.py@.PATH_END.py |
{
"filename": "generate_Pk_example_w_tensors.py",
"repo_name": "nbellomo/Multi_CLASS",
"repo_path": "Multi_CLASS_extracted/Multi_CLASS-master/external_Pk/generate_Pk_example_w_tensors.py",
"type": "Python"
} | #!/usr/bin/python
from __future__ import print_function
import sys
from math import exp
# README:
#
# This is an example python script for the external_Pk mode of Class.
# It generates the primordial spectrum of LambdaCDM.
# It can be edited and used directly, though keeping a copy of it is recommended.
#
# Two (maybe... | nbellomoREPO_NAMEMulti_CLASSPATH_START.@Multi_CLASS_extracted@Multi_CLASS-master@external_Pk@generate_Pk_example_w_tensors.py@.PATH_END.py |
{
"filename": "_hovertext.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/waterfall/_hovertext.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertextValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertext", parent_name="waterfall", **kwargs):
super(HovertextValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@waterfall@_hovertext.py@.PATH_END.py |
{
"filename": "coco_eval.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/references/detection/coco_eval.py",
"type": "Python"
} | import copy
import io
from contextlib import redirect_stdout
import numpy as np
import pycocotools.mask as mask_util
import torch
import utils
from pycocotools.coco import COCO
from pycocotools.cocoeval import COCOeval
class CocoEvaluator:
def __init__(self, coco_gt, iou_types):
if not isinstance(iou_typ... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@references@detection@coco_eval.py@.PATH_END.py |
{
"filename": "test_reduce_flat.py",
"repo_name": "GeminiDRSoftware/DRAGONS",
"repo_path": "DRAGONS_extracted/DRAGONS-master/geminidr/ghost/recipes/sq/tests/test_reduce_flat.py",
"type": "Python"
} | # Tests for the reduction of echelle flatfield images
import os
import pytest
from numpy.testing import assert_allclose
from astrodata.testing import ad_compare, download_from_archive
import astrodata, gemini_instruments
from geminidr.ghost.primitives_ghost_bundle import GHOSTBundle
from geminidr.ghost.primitives_gh... | GeminiDRSoftwareREPO_NAMEDRAGONSPATH_START.@DRAGONS_extracted@DRAGONS-master@geminidr@ghost@recipes@sq@tests@test_reduce_flat.py@.PATH_END.py |
{
"filename": "test_photometry_kernels.py",
"repo_name": "ArgonneCPAC/dsps",
"repo_path": "dsps_extracted/dsps-main/dsps/photometry/tests/test_photometry_kernels.py",
"type": "Python"
} | """
"""
import numpy as np
import os
from jax import jit as jjit, vmap
from ..photometry_kernels import _calc_obs_mag_no_dimming, calc_rest_mag, calc_obs_mag
from ...cosmology.flat_wcdm import FSPS_COSMO
_THIS_DRNAME = os.path.dirname(os.path.abspath(__file__))
DATA_DRN = os.path.join(
os.path.dirname(os.path.dir... | ArgonneCPACREPO_NAMEdspsPATH_START.@dsps_extracted@dsps-main@dsps@photometry@tests@test_photometry_kernels.py@.PATH_END.py |
{
"filename": "optimize_global_1.py",
"repo_name": "scipy/scipy",
"repo_path": "scipy_extracted/scipy-main/doc/source/tutorial/examples/optimize_global_1.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from scipy import optimize
def eggholder(x):
return (-(x[1] + 47) * np.sin(np.sqrt(abs(x[0]/2 + (x[1] + 47))))
-x[0] * np.sin(np.sqrt(abs(x[0] - (x[1] + 47)))))
bounds = [(-512, 512), (-512, 512)]
x = np.arange(-512, 513)
y = np.arange(-512, 513)
... | scipyREPO_NAMEscipyPATH_START.@scipy_extracted@scipy-main@doc@source@tutorial@examples@optimize_global_1.py@.PATH_END.py |
{
"filename": "android.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/setuptools/py3/pkg_resources/_vendor/platformdirs/android.py",
"type": "Python"
} | from __future__ import annotations
import os
import re
import sys
from functools import lru_cache
from typing import cast
from .api import PlatformDirsABC
class Android(PlatformDirsABC):
"""
Follows the guidance `from here <https://android.stackexchange.com/a/216132>`_. Makes use of the
`appname <platfo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@setuptools@py3@pkg_resources@_vendor@platformdirs@android.py@.PATH_END.py |
{
"filename": "_flip.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/tiling/_flip.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FlipValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="flip", parent_name="icicle.tiling", **kwargs):
super(FlipValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@tiling@_flip.py@.PATH_END.py |
{
"filename": "opacityinputfile.py",
"repo_name": "artis-mcrt/artistools",
"repo_path": "artistools_extracted/artistools-main/artistools/inputmodel/opacityinputfile.py",
"type": "Python"
} | from pathlib import Path
import numpy as np
import pandas as pd
import polars as pl
def all_cells_same_opacity(modelpath, ngrid):
cell_opacities = np.array([0.1] * ngrid)
with Path(modelpath, "opacity.txt").open("w", encoding="utf-8") as fopacity:
fopacity.write(f"{ngrid}\n")
for cellid, op... | artis-mcrtREPO_NAMEartistoolsPATH_START.@artistools_extracted@artistools-main@artistools@inputmodel@opacityinputfile.py@.PATH_END.py |
{
"filename": "interlace_test.py",
"repo_name": "gbrammer/unicorn",
"repo_path": "unicorn_extracted/unicorn-master/interlace_test.py",
"type": "Python"
} | """
Tests on the UDF interlaced data
"""
import numpy as np
import matplotlib.pyplot as plt
#import pyfits
import astropy.io.fits as pyfits
import unicorn
import threedhst
from threedhst.prep_flt_files import process_3dhst_pair as pair
import threedhst.prep_flt_files
import glob
import os
def prepare():
os.chdi... | gbrammerREPO_NAMEunicornPATH_START.@unicorn_extracted@unicorn-master@interlace_test.py@.PATH_END.py |
{
"filename": "TEEE.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/cobaya/likelihoods/planck_2018_highl_CamSpec2021/TEEE.py",
"type": "Python"
} | from cobaya.likelihoods.planck_2018_highl_CamSpec2021.planck_2018_CamSpec2021_python import Planck2018CamSpec2021Python
class TEEE(Planck2018CamSpec2021Python):
r"""
High-$\ell$ TE+EE \textsc{CamSpec} 12.6HMcl likelihood using Planck 2018 data
\cite{efstathiou2019}.
"""
pass
| ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@cobaya@likelihoods@planck_2018_highl_CamSpec2021@TEEE.py@.PATH_END.py |
{
"filename": "inkpot.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/styles/inkpot.py",
"type": "Python"
} | """
pygments.styles.inkpot
~~~~~~~~~~~~~~~~~~~~~~
A highlighting style for Pygments, inspired by the Inkpot theme for VIM.
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.style import Style
from pygments.token import Tex... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@styles@inkpot.py@.PATH_END.py |
{
"filename": "_ypad.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/coloraxis/colorbar/_ypad.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YpadValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ypad", parent_name="layout.coloraxis.colorbar", **kwargs
):
super(YpadValidator, self).__init__(
plotly_name=plotly_name,
parent_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@coloraxis@colorbar@_ypad.py@.PATH_END.py |
{
"filename": "matchers.md",
"repo_name": "google/googletest",
"repo_path": "googletest_extracted/googletest-main/docs/reference/matchers.md",
"type": "Markdown"
} | # Matchers Reference
A **matcher** matches a *single* argument. You can use it inside `ON_CALL()` or
`EXPECT_CALL()`, or use it to validate a value directly using two macros:
| Macro | Description |
| :----------------------------------- | :--------------------... | googleREPO_NAMEgoogletestPATH_START.@googletest_extracted@googletest-main@docs@reference@matchers.md@.PATH_END.py |
{
"filename": "primitives.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/pyro/contrib/funsor/handlers/primitives.py",
"type": "Python"
} | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import pyro.poutine.runtime
from pyro.contrib.funsor.handlers.runtime import _DIM_STACK, DimRequest, DimType
@pyro.poutine.runtime.effectful(type="to_funsor")
def to_funsor(x, output=None, dim_to_name=None, dim_type=DimType.LOCAL):
... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@pyro@contrib@funsor@handlers@primitives.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/funnel/textfont/__init__.py",
"type": "Python"
} | import sys
if sys.version_info < (3, 7):
from ._sizesrc import SizesrcValidator
from ._size import SizeValidator
from ._familysrc import FamilysrcValidator
from ._family import FamilyValidator
from ._colorsrc import ColorsrcValidator
from ._color import ColorValidator
else:
from _plotly_uti... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@funnel@textfont@__init__.py@.PATH_END.py |
{
"filename": "bing_search.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/utilities/bing_search.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.utilities import BingSearchAPIWrapper
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@utilities@bing_search.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter/marker/colorbar/title/_font.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="font", parent_name="scatter.marker.colorbar.title", **kwargs
):
super(FontValidator, self).__init__(
plotly_name=plotly_name,
parent... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter@marker@colorbar@title@_font.py@.PATH_END.py |
{
"filename": "sunf95.py",
"repo_name": "duvall3/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Tool/sunf95.py",
"type": "Python"
} | """SCons.Tool.sunf95
Tool-specific initialization for sunf95, the Sun Studio F95 compiler.
There normally shouldn't be any need to import this module directly.
It will usually be imported through the generic SCons.Tool.Tool()
selection method.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 20... | duvall3REPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Tool@sunf95.py@.PATH_END.py |
{
"filename": "05aDensitySensitivity.py",
"repo_name": "MehrnooshTahani/MappingBLOS_MolecularClouds",
"repo_path": "MappingBLOS_MolecularClouds_extracted/MappingBLOS_MolecularClouds-master/MolecularClouds/05aDensitySensitivity.py",
"type": "Python"
} | """
This is the fifth stage of the BLOSMapping method where the dependence on density is assessed.
- All parameters except for density are held constant, and the magnetic field is calculated with electron abundances
corresponding to changes of 0 and +/- 1, 2.5, 5, 10, 20, 20, 40, and 50 % the fiducial input den... | MehrnooshTahaniREPO_NAMEMappingBLOS_MolecularCloudsPATH_START.@MappingBLOS_MolecularClouds_extracted@MappingBLOS_MolecularClouds-master@MolecularClouds@05aDensitySensitivity.py@.PATH_END.py |
{
"filename": "vsdx.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/document_loaders/vsdx.py",
"type": "Python"
} | import os
import tempfile
from abc import ABC
from pathlib import Path
from typing import List, Union
from urllib.parse import urlparse
import requests
from langchain_community.docstore.document import Document
from langchain_community.document_loaders.base import BaseLoader
from langchain_community.document_loaders.... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@document_loaders@vsdx.py@.PATH_END.py |
{
"filename": "_side.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/heatmap/colorbar/title/_side.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="side", parent_name="heatmap.colorbar.title", **kwargs
):
super(SideValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@heatmap@colorbar@title@_side.py@.PATH_END.py |
{
"filename": "subset.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/tools/subset.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Copyright 2010-2012, Google Inc.
# Author: Mikhail Kashkin (mkashkin@gmail.com)
# Author: Raph Levien (<firstname.lastname>@gmail.com)
# Author: Dave Crossland (dave@understandinglimited.com)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file ex... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@tools@subset.py@.PATH_END.py |
{
"filename": "ex_sysrem_pca.ipynb",
"repo_name": "sczesla/PyAstronomy",
"repo_path": "PyAstronomy_extracted/PyAstronomy-master/src/doc/pyaslDoc/aslDoc/aslExt_1Doc/ex_sysrem_pca.ipynb",
"type": "Jupyter Notebook"
} | SYSREM, Principle Component Analysis, and eigenvectors
===================================================
A comparison between the results of SYSREM, a PCA, and the eigenvectors of a small artificial data matrix, using equal uncertainties for all data points. In this case, all of these are basically equivalent.
```... | sczeslaREPO_NAMEPyAstronomyPATH_START.@PyAstronomy_extracted@PyAstronomy-master@src@doc@pyaslDoc@aslDoc@aslExt_1Doc@ex_sysrem_pca.ipynb@.PATH_END.py |
{
"filename": "_variant.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatter/textfont/_variant.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class VariantValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="variant", parent_name="scatter.textfont", **kwargs):
super(VariantValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatter@textfont@_variant.py@.PATH_END.py |
{
"filename": "AnalyzeSimFile.py",
"repo_name": "zoglauer/megalib",
"repo_path": "megalib_extracted/megalib-main/resource/examples/python/AnalyzeSimFile.py",
"type": "Python"
} | import ROOT as M
# Load MEGAlib into ROOT
M.gSystem.Load("$(MEGALIB)/lib/libMEGAlib.so")
# Initialize MEGAlib
G = M.MGlobal()
G.Initialize()
# We are good to go ...
GeometryName = "$(MEGALIB)/resource/examples/geomega/special/Max.geo.setup"
FileName = "Test.inc1.id1.sim"
# Load geometry:
Geometry = M.MDGeometryQu... | zoglauerREPO_NAMEmegalibPATH_START.@megalib_extracted@megalib-main@resource@examples@python@AnalyzeSimFile.py@.PATH_END.py |
{
"filename": "plot_posterior.py",
"repo_name": "Jingxuan97/nemesispy",
"repo_path": "nemesispy_extracted/nemesispy-main/nemesispy/retrieval/plot_posterior.py",
"type": "Python"
} | Jingxuan97REPO_NAMEnemesispyPATH_START.@nemesispy_extracted@nemesispy-main@nemesispy@retrieval@plot_posterior.py@.PATH_END.py | |
{
"filename": "lamp.py",
"repo_name": "astroufsc/chimera",
"repo_path": "chimera_extracted/chimera-master/src/chimera/interfaces/lamp.py",
"type": "Python"
} | #! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
# chimera - observatory automation system
# Copyright (C) 2006-2007 P. Henrique Silva <henrique@astro.ufsc.br>
# 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 S... | astroufscREPO_NAMEchimeraPATH_START.@chimera_extracted@chimera-master@src@chimera@interfaces@lamp.py@.PATH_END.py |
{
"filename": "nodeframe.py",
"repo_name": "Guo-Jian-Wang/colfi",
"repo_path": "colfi_extracted/colfi-master/colfi/nodeframe.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
def decreasingNode(node_in=1970, node_out=5, hidden_layer=3, get_allNode=True):
"""A network structure that the number of neurons in each hidden layer is decreased proportionally.
Parameters
----------
node_in : int
The number of nodes in the input layer.
node_o... | Guo-Jian-WangREPO_NAMEcolfiPATH_START.@colfi_extracted@colfi-master@colfi@nodeframe.py@.PATH_END.py |
{
"filename": "GenericBodyForce.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/Physics/GenericBodyForce.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# GenericBodyForce base class
#-------------------------------------------------------------------------------
from PYB11Generator import *
from Physics import *
@PYB11template("Dimension")
@PYB11module("SpheralPhysics")
class GenericBody... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@Physics@GenericBodyForce.py@.PATH_END.py |
{
"filename": "_level.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/sunburst/_level.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LevelValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="level", parent_name="sunburst", **kwargs):
super(LevelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
anim=k... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@sunburst@_level.py@.PATH_END.py |
{
"filename": "FirstFull.ipynb",
"repo_name": "FRBs/FRB",
"repo_path": "FRB_extracted/FRB-main/frb/associate/dev/FirstFull.ipynb",
"type": "Jupyter Notebook"
} | # First Full Run
No extra contaminants
180924 field
1-P_chance prior
```python
%matplotlib notebook
```
```python
# imports
from importlib import reload
import numpy as np
from matplotlib import pyplot as plt
from astropy.table import Table
from astropy import units
from astropy.coordinates import SkyC... | FRBsREPO_NAMEFRBPATH_START.@FRB_extracted@FRB-main@frb@associate@dev@FirstFull.ipynb@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattergeo/marker/colorbar/title/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="style",
parent_name="scattergeo.marker.colorbar.title.font",
**kwargs,
):
super(StyleValidator, self).__init__(
plotl... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattergeo@marker@colorbar@title@font@_style.py@.PATH_END.py |
{
"filename": "nd_interpolation.py",
"repo_name": "cta-observatory/ctapipe",
"repo_path": "ctapipe_extracted/ctapipe-main/examples/algorithms/nd_interpolation.py",
"type": "Python"
} | """
Use N-dimensional Histogram functionality and Interpolation
===========================================================
- could be used for example to read and interpolate an lookup table or
IRF.
- In this example, we load a sample energy reconstruction lookup-table
from a FITS file
- In this case it is o... | cta-observatoryREPO_NAMEctapipePATH_START.@ctapipe_extracted@ctapipe-main@examples@algorithms@nd_interpolation.py@.PATH_END.py |
{
"filename": "main.py",
"repo_name": "kaitlyn-loftus/alien-sulfur-cycles",
"repo_path": "alien-sulfur-cycles_extracted/alien-sulfur-cycles-master/main.py",
"type": "Python"
} | ################################################################
# use the model of Loftus, Wordsworth, & Morley, 2019
# to calculate the observability of atmospheric sulfur in a
# planetary atmosphere of your choosing
#
# code by Kaitlyn Loftus (2019)
################################################################
'... | kaitlyn-loftusREPO_NAMEalien-sulfur-cyclesPATH_START.@alien-sulfur-cycles_extracted@alien-sulfur-cycles-master@main.py@.PATH_END.py |
{
"filename": "rotation.ipynb",
"repo_name": "dfm/celerite",
"repo_path": "celerite_extracted/celerite-main/paper/figures/rotation/rotation.ipynb",
"type": "Jupyter Notebook"
} | ```python
%matplotlib inline
%config IPython.matplotlib.backend = "retina"
from matplotlib import rcParams
rcParams["savefig.dpi"] = 300
rcParams["figure.dpi"] = 300
from celerite import plot_setup
plot_setup.setup(auto=False)
```
```python
import kplr
import copy
import emcee
import corner
import autograd.numpy as ... | dfmREPO_NAMEceleritePATH_START.@celerite_extracted@celerite-main@paper@figures@rotation@rotation.ipynb@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/docs_nnx/flip/README.md",
"type": "Markdown"
} | # FLIP: Flax Improvement Process
Most changes can be discussed with simple issues/discussions and pull requests.
Some changes though are a bit larger in scope or require more discussion, and
these should be implemented as FLIPs. This allows for writing longer documents
that can be discussed in a pull request themselv... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@docs_nnx@flip@README.md@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/parcoords/line/colorbar/tickfont/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="parcoords.line.colorbar.tickfont",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@parcoords@line@colorbar@tickfont@_lineposition.py@.PATH_END.py |
{
"filename": "backend_wxcairo.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/lib/matplotlib/backends/backend_wxcairo.py",
"type": "Python"
} | import wx.lib.wxcairo as wxcairo
from .backend_cairo import cairo, FigureCanvasCairo
from .backend_wx import _BackendWx, _FigureCanvasWxBase
from .backend_wx import ( # noqa: F401 # pylint: disable=W0611
NavigationToolbar2Wx as NavigationToolbar2WxCairo)
class FigureCanvasWxCairo(FigureCanvasCairo, _FigureCanva... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@lib@matplotlib@backends@backend_wxcairo.py@.PATH_END.py |
{
"filename": "TensorMetadataAddProcessUnits.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_support/metadata_schema_py_generated/TensorMetadataAddProcessUnits.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.TensorMetadataAddProcessUnits" />
<meta... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_support@metadata_schema_py_generated@TensorMetadataAddProcessUnits.md@.PATH_END.py |
{
"filename": "kernelbase.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipykernel/py2/ipykernel/kernelbase.py",
"type": "Python"
} | """Base class for a kernel that talks to frontends over 0MQ."""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
import sys
import time
import logging
import uuid
from datetime import datetime
try:
# jupyter_client >= 5, u... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipykernel@py2@ipykernel@kernelbase.py@.PATH_END.py |
{
"filename": "_ticklen.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/scene/xaxis/_ticklen.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TicklenValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="ticklen", parent_name="layout.scene.xaxis", **kwargs
):
super(TicklenValidator, self).__init__(
plotly_name=plotly_name,
parent_nam... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@scene@xaxis@_ticklen.py@.PATH_END.py |
{
"filename": "_utils.py",
"repo_name": "dask/dask-image",
"repo_path": "dask-image_extracted/dask-image-main/dask_image/ndmorph/_utils.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import numbers
import dask.array as da
import numpy as np
from ..dispatch._dispatch_ndmorph import dispatch_binary_structure
from ..ndfilters._utils import (_get_depth, _get_depth_boundary, _get_origin,
_update_wrapper)
_update_wrapper = _update_wrapper
_get_... | daskREPO_NAMEdask-imagePATH_START.@dask-image_extracted@dask-image-main@dask_image@ndmorph@_utils.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/inspection/_plot/tests/__init__.py",
"type": "Python"
} | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@inspection@_plot@tests@__init__.py@.PATH_END.py | |
{
"filename": "_gradient.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/graph_objs/scattergeo/marker/_gradient.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Gradient(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scattergeo.marker"
_path_str = "scattergeo.marker.gradient"
_valid_props = {"color", "colo... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@graph_objs@scattergeo@marker@_gradient.py@.PATH_END.py |
{
"filename": "settings.py",
"repo_name": "ejhigson/perfectns",
"repo_path": "perfectns_extracted/perfectns-master/perfectns/settings.py",
"type": "Python"
} | #!/usr/bin/env python
"""
Defines base class which holds settings for performing perfect nested sampling.
This includes likelihood and prior objects as well as the parameters
controlling how the calculation is performed - for example the number of live
points and whether or not dynamic nested sampling is to be used.
""... | ejhigsonREPO_NAMEperfectnsPATH_START.@perfectns_extracted@perfectns-master@perfectns@settings.py@.PATH_END.py |
{
"filename": "spatial.py",
"repo_name": "lynx-x-ray-observatory/soxs",
"repo_path": "soxs_extracted/soxs-main/soxs/spatial.py",
"type": "Python"
} | import astropy.units as u
import numpy as np
from astropy import wcs
from astropy.io import fits
from soxs.constants import one_arcsec
from soxs.utils import get_rot_mat, parse_prng, parse_value
def construct_wcs(ra0, dec0, dtheta=None, nx=None):
if dtheta is None:
dtheta = one_arcsec
if nx is None:
... | lynx-x-ray-observatoryREPO_NAMEsoxsPATH_START.@soxs_extracted@soxs-main@soxs@spatial.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/api/_tf_keras/keras/export/__init__.py",
"type": "Python"
} | """DO NOT EDIT.
This file was autogenerated. Do not edit it by hand,
since your modifications would be overwritten.
"""
from keras.src.export.export_lib import ExportArchive
| fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@api@_tf_keras@keras@export@__init__.py@.PATH_END.py |
{
"filename": "test_concentration.py",
"repo_name": "halomod/halomod",
"repo_path": "halomod_extracted/halomod-main/tests/test_concentration.py",
"type": "Python"
} | import numpy as np
import pytest
from hmf import MassFunction
from hmf.halos.mass_definitions import SOCritical, SOMean, SOVirial
from halomod import TracerHaloModel
from halomod import concentration as cm
@pytest.fixture()
def mass():
return np.logspace(10, 15, 100)
@pytest.mark.parametrize("mdef", [SOMean, S... | halomodREPO_NAMEhalomodPATH_START.@halomod_extracted@halomod-main@tests@test_concentration.py@.PATH_END.py |
{
"filename": "list_distributions.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/examples/distributions/list_distributions.py",
"type": "Python"
} | from pycbc import distributions
# print all distribution names
print(distributions.distribs.keys())
| gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@examples@distributions@list_distributions.py@.PATH_END.py |
{
"filename": "_buttons.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/updatemenu/_buttons.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ButtonsValidator(_plotly_utils.basevalidators.CompoundArrayValidator):
def __init__(
self, plotly_name="buttons", parent_name="layout.updatemenu", **kwargs
):
super(ButtonsValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@updatemenu@_buttons.py@.PATH_END.py |
{
"filename": "XiTau_RLOF.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/examples/textbook/XiTau_RLOF.py",
"type": "Python"
} | """
example code bridging a gravity solver with a hydrodynamics solver
"""
import numpy
from amuse.lab import *
from amuse.couple import bridge
def evolve_binary_in_common_envelope(stars, envelope, t_end):
R = stars.position.length()
converter=nbody_system.nbody_to_si(stars.mass.sum(), R)
gravity = ph4... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@examples@textbook@XiTau_RLOF.py@.PATH_END.py |
{
"filename": "_line.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/parcoords/_line.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LineValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="line", parent_name="parcoords", **kwargs):
super(LineValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@parcoords@_line.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/frontends/cholla/tests/__init__.py",
"type": "Python"
} | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@frontends@cholla@tests@__init__.py@.PATH_END.py | |
{
"filename": "test_ref.py",
"repo_name": "ggalloni/cobaya",
"repo_path": "cobaya_extracted/cobaya-master/tests/test_ref.py",
"type": "Python"
} | """
Tests the setting and updating of the reference pdf, including re-checking if point-like.
"""
import pytest
import numpy as np
from cobaya.model import get_model
from cobaya.sampler import get_sampler
from cobaya import mpi
def test_ref():
val = 1
mean, std = 0.5, 0.1
info = {
"params": {
... | ggalloniREPO_NAMEcobayaPATH_START.@cobaya_extracted@cobaya-master@tests@test_ref.py@.PATH_END.py |
{
"filename": "_layout.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/_layout.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutType as _BaseLayoutType
import copy as _copy
class Layout(_BaseLayoutType):
_subplotid_prop_names = [
"coloraxis",
"geo",
"legend",
"map",
"mapbox",
"polar",
"scene",
"smith",
"ternary",
"xa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@_layout.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "threeML/threeML",
"repo_path": "threeML_extracted/threeML-master/threeML/bayesian/__init__.py",
"type": "Python"
} | threeMLREPO_NAMEthreeMLPATH_START.@threeML_extracted@threeML-master@threeML@bayesian@__init__.py@.PATH_END.py | |
{
"filename": "all.py",
"repo_name": "rabrahm/ceres",
"repo_path": "ceres_extracted/ceres-master/utils/Correlation/all.py",
"type": "Python"
} | import pyfits
import numpy
import os
import continuum
import correlation
dire = '/home/rabrahm/Desktop/spec2/'
mods = os.listdir(dire)
t=[]
g = []
z=[]
r=[]
v=[]
nam = []
mods = mods[:-5]
for fits in mods:
print fits
sc = pyfits.getdata(dire+fits)
L,F = sc[0],sc[1]
Ln,Fn = continuum.NORM2(L,F)
Tfin, Gfin, Zfin, r... | rabrahmREPO_NAMEceresPATH_START.@ceres_extracted@ceres-master@utils@Correlation@all.py@.PATH_END.py |
{
"filename": "VGGLoss.py",
"repo_name": "Yash-10/modified_gravity_emulation",
"repo_path": "modified_gravity_emulation_extracted/modified_gravity_emulation-main/BicycleGAN/VGGLoss.py",
"type": "Python"
} | import torch
import torchvision
class VGGPerceptualLoss_VGG19(torch.nn.Module):
def __init__(self, opt, resize=True):
super(VGGPerceptualLoss, self).__init__()
self.gpu_ids = opt.gpu_ids
self.device = torch.device('cuda:{}'.format(self.gpu_ids[0])) if self.gpu_ids else torch.device... | Yash-10REPO_NAMEmodified_gravity_emulationPATH_START.@modified_gravity_emulation_extracted@modified_gravity_emulation-main@BicycleGAN@VGGLoss.py@.PATH_END.py |
{
"filename": "plot_indiv_pdfs.py",
"repo_name": "BEAST-Fitting/beast",
"repo_path": "beast_extracted/beast-master/beast/plotting/plot_indiv_pdfs.py",
"type": "Python"
} | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
from astropy.io import fits
import copy
__all__ = ["plot_indiv_pdfs"]
def plot_indiv_pdfs(pdf1d_file, pdf2d_file, starnum):
"""
Make a triangle/corner plot with the 1D and 2D PDFs of a star
Parameters
-------... | BEAST-FittingREPO_NAMEbeastPATH_START.@beast_extracted@beast-master@beast@plotting@plot_indiv_pdfs.py@.PATH_END.py |
{
"filename": "test_empirical.py",
"repo_name": "aburgasser/splat",
"repo_path": "splat_extracted/splat-main/splat/tests/test_empirical.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from __future__ import print_function
# this is the test function set for splat empirical functions
# imports - internal
import copy
import glob
import os
# # imports - external
import numpy
from astropy import units as u # standard units
from astropy import constants as const ... | aburgasserREPO_NAMEsplatPATH_START.@splat_extracted@splat-main@splat@tests@test_empirical.py@.PATH_END.py |
{
"filename": "serializers.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/serializers.py",
"type": "Python"
} | from .basedatatypes import Undefined
from .optional_imports import get_module
np = get_module("numpy")
def _py_to_js(v, widget_manager):
"""
Python -> Javascript ipywidget serializer
This function must repalce all objects that the ipywidget library
can't serialize natively (e.g. numpy arrays) with s... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@serializers.py@.PATH_END.py |
{
"filename": "demo_plot.ipynb",
"repo_name": "remi-adam/minot",
"repo_path": "minot_extracted/minot-master/notebook/demo_plot.ipynb",
"type": "Jupyter Notebook"
} | The notebook provides examples of the functionalities of minot. It uses a baseline model defined using parametric functions to illustrates the various options. In addition real clusters are used together with publicaly available data to test the observable generated given a model.
# 1. Import prerequists and useful fun... | remi-adamREPO_NAMEminotPATH_START.@minot_extracted@minot-master@notebook@demo_plot.ipynb@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/sankey/legendgrouptitle/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="sankey.legendgrouptitle.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@sankey@legendgrouptitle@font@_family.py@.PATH_END.py |
{
"filename": "FixedModel.py",
"repo_name": "dokester/BayesicFitting",
"repo_path": "BayesicFitting_extracted/BayesicFitting-master/BayesicFitting/source/FixedModel.py",
"type": "Python"
} | import numpy as numpy
from astropy import units
import re
import string
import warnings
from . import Tools
from .BaseModel import BaseModel
from .Tools import setAttribute as setatt
from .Formatter import formatter as fmt
__author__ = "Do Kester"
__year__ = 2024
__license__ = "GPL3"
__version__ = "3.2.1"
__url__ = "... | dokesterREPO_NAMEBayesicFittingPATH_START.@BayesicFitting_extracted@BayesicFitting-master@BayesicFitting@source@FixedModel.py@.PATH_END.py |
{
"filename": "image.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/torch/image.py",
"type": "Python"
} | import functools
import itertools
import operator
import torch
from keras.src import backend
from keras.src.backend.torch.core import convert_to_tensor
from keras.src.utils.module_utils import torchvision
RESIZE_INTERPOLATIONS = {} # populated after torchvision import
UNSUPPORTED_INTERPOLATIONS = (
"lanczos3",... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@torch@image.py@.PATH_END.py |
{
"filename": "camera_display.py",
"repo_name": "cta-observatory/ctapipe",
"repo_path": "ctapipe_extracted/ctapipe-main/examples/visualization/camera_display.py",
"type": "Python"
} | """
Displaying Camera Images
========================
"""
import astropy.coordinates as c
import astropy.units as u
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.animation import FuncAnimation
from matplotlib.colors import PowerNorm
from ctapipe.coordinates import CameraFrame, EngineeringCameraF... | cta-observatoryREPO_NAMEctapipePATH_START.@ctapipe_extracted@ctapipe-main@examples@visualization@camera_display.py@.PATH_END.py |
{
"filename": "_shadowsrc.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choropleth/hoverlabel/font/_shadowsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShadowsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self,
plotly_name="shadowsrc",
parent_name="choropleth.hoverlabel.font",
**kwargs,
):
super(ShadowsrcValidator, self).__init__(
plotly_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choropleth@hoverlabel@font@_shadowsrc.py@.PATH_END.py |
{
"filename": "_showexponent.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter3d/line/colorbar/_showexponent.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowexponentValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showexponent",
parent_name="scatter3d.line.colorbar",
**kwargs,
):
super(ShowexponentValidator, self).__init__(
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scatter3d@line@colorbar@_showexponent.py@.PATH_END.py |
{
"filename": "test_norm.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/sparse/linalg/tests/test_norm.py",
"type": "Python"
} | """Test functions for the sparse.linalg.norm module
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.linalg import norm as npnorm
from numpy.testing import assert_equal, assert_allclose
from pytest import raises as assert_raises
from scipy._lib._version import NumpyV... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@sparse@linalg@tests@test_norm.py@.PATH_END.py |
{
"filename": "scipy_utils.py",
"repo_name": "arjunsavel/SImMER",
"repo_path": "SImMER_extracted/SImMER-main/src/simmer/scipy_utils.py",
"type": "Python"
} | """
Utility functions (used in the registration stage) adapted from SciPy 1.2.0 that have
since been deprecated (see the LICENSE.MD file at the project root directory).
"""
import numpy as np
from PIL import Image
def bytescale(data, high=255, low=0):
"""
Byte scales an image.
inputs:
:data: (nd... | arjunsavelREPO_NAMESImMERPATH_START.@SImMER_extracted@SImMER-main@src@simmer@scipy_utils.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/layout/slider/currentvalue/__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@layout@slider@currentvalue@__init__.py@.PATH_END.py |
{
"filename": "test_info.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/test_autofit/database/test_info.py",
"type": "Python"
} | import pytest
from autofit import database as db
@pytest.fixture(
name="fit"
)
def make_fit():
return db.Fit(
id="id",
info={
"key": "value"
}
)
def test_create(
fit
):
assert fit.info["key"] == "value"
@pytest.fixture(
autouse=True
)
def add_to_ses... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@test_autofit@database@test_info.py@.PATH_END.py |
{
"filename": "category.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/core/indexes/category.py",
"type": "Python"
} | from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
Literal,
cast,
)
import numpy as np
from pandas._libs import index as libindex
from pandas.util._decorators import (
cache_readonly,
doc,
set_module,
)
from pandas.core.dtypes.common import is_scalar
from pandas.... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@core@indexes@category.py@.PATH_END.py |
{
"filename": "ultranester.py",
"repo_name": "guillochon/MOSFiT",
"repo_path": "MOSFiT_extracted/MOSFiT-master/mosfit/samplers/ultranester.py",
"type": "Python"
} | # -*- coding: UTF-8 -*-
"""Definitions for `UltraNester` class."""
import numpy as np
from astrocats.catalog.model import MODEL
from astrocats.catalog.quantity import QUANTITY
from mosfit.samplers.sampler import Sampler
from mosfit.utils import pretty_num
class UltraNester(Sampler):
"""Fit transient events with ... | guillochonREPO_NAMEMOSFiTPATH_START.@MOSFiT_extracted@MOSFiT-master@mosfit@samplers@ultranester.py@.PATH_END.py |
{
"filename": "modeling_test.py",
"repo_name": "Herculens/herculens",
"repo_path": "herculens_extracted/herculens-main/test/modeling_test.py",
"type": "Python"
} | # Testing modeling workflows
#
# Copyright (c) 2023, herculens developers and contributors
import numpy as np
import numpy.testing as npt
import pytest
from copy import deepcopy
import jax
import jax.numpy as jnp
jax.config.update("jax_enable_x64", True)
import numpyro
import numpyro.distributions as dist
from num... | HerculensREPO_NAMEherculensPATH_START.@herculens_extracted@herculens-main@test@modeling_test.py@.PATH_END.py |
{
"filename": "input_layer_test.py",
"repo_name": "fchollet/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/core/input_layer_test.py",
"type": "Python"
} | import numpy as np
from absl.testing import parameterized
from keras.src import backend
from keras.src import testing
from keras.src.backend import KerasTensor
from keras.src.layers import InputLayer
class InputLayerTest(testing.TestCase):
# Testing happy path for layer without input tensor
@parameterized.na... | fcholletREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@core@input_layer_test.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/ternary/baxis/title/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="family",
parent_name="layout.ternary.baxis.title.font",
**kwargs,
):
super(FamilyValidator, self).__init__(
plotly_name=... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@ternary@baxis@title@font@_family.py@.PATH_END.py |
{
"filename": "basewidget.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/basewidget.py",
"type": "Python"
} | import uuid
from importlib import import_module
import os
import numbers
try:
from urllib import parse
except ImportError:
from urlparse import urlparse as parse
import ipywidgets as widgets
from traitlets import List, Unicode, Dict, observe, Integer
from .basedatatypes import BaseFigure, BasePlotlyType
from ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@basewidget.py@.PATH_END.py |
{
"filename": "getstagecorr_50.py",
"repo_name": "timcarleton/Illustris_XMD",
"repo_path": "Illustris_XMD_extracted/Illustris_XMD-main/getstagecorr_50.py",
"type": "Python"
} | from astropy.io import fits, ascii
import glob
import numpy as np
import gettemp
import h5py
from scipy.optimize import minimize_scalar
from astropy import cosmology
astrocosmo = cosmology.FlatLambdaCDM(H0=67.7,Om0=0.307)
zs=np.array([20.05,14.99,11.98,10.976,10.0,9.389,9.002,8.449,8.012,7.595,7.236,7.005,6.491,6.011,... | timcarletonREPO_NAMEIllustris_XMDPATH_START.@Illustris_XMD_extracted@Illustris_XMD-main@getstagecorr_50.py@.PATH_END.py |
{
"filename": "pathccompiler.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py2/numpy/distutils/pathccompiler.py",
"type": "Python"
} | from __future__ import division, absolute_import, print_function
from distutils.unixccompiler import UnixCCompiler
class PathScaleCCompiler(UnixCCompiler):
"""
PathScale compiler compatible with an gcc built Python.
"""
compiler_type = 'pathcc'
cc_exe = 'pathcc'
cxx_exe = 'pathCC'
def _... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py2@numpy@distutils@pathccompiler.py@.PATH_END.py |
{
"filename": "_label.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/sankey/link/_label.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LabelValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="label", parent_name="sankey.link", **kwargs):
super(LabelValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@sankey@link@_label.py@.PATH_END.py |
{
"filename": "ClassDDEGridMachine.py",
"repo_name": "saopicc/DDFacet",
"repo_path": "DDFacet_extracted/DDFacet-master/DDFacet/Imager/ClassDDEGridMachine.py",
"type": "Python"
} | '''
DDFacet, a facet-based radio imaging package
Copyright (C) 2013-2016 Cyril Tasse, l'Observatoire de Paris,
SKA South Africa, Rhodes University
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; eit... | saopiccREPO_NAMEDDFacetPATH_START.@DDFacet_extracted@DDFacet-master@DDFacet@Imager@ClassDDEGridMachine.py@.PATH_END.py |
{
"filename": "readObs.py",
"repo_name": "folsomcp/ZDIpy",
"repo_path": "ZDIpy_extracted/ZDIpy-main/core/readObs.py",
"type": "Python"
} | import numpy as np
c = 2.99792458e5
class obsProf:
def __init__(self, obsFileName):
#Read an observed (LSD) profile from obsFileName, and return it as an obsProf object.
#If no file name is given, create an empty obsProf object
if(obsFileName == ''):
self.wl = np.array([])
... | folsomcpREPO_NAMEZDIpyPATH_START.@ZDIpy_extracted@ZDIpy-main@core@readObs.py@.PATH_END.py |
{
"filename": "_x.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scatter3d/projection/_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="x", parent_name="scatter3d.projection", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
d... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scatter3d@projection@_x.py@.PATH_END.py |
{
"filename": "mathmpl.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/matplotlib/sphinxext/mathmpl.py",
"type": "Python"
} | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import os
import sys
from hashlib import md5
from docutils import nodes
from docutils.parsers.rst import directives
import warnings
from matplotlib import rcParams
from matplotlib.mathtext import ... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@matplotlib@sphinxext@mathmpl.py@.PATH_END.py |
{
"filename": "check_sph_pure.py",
"repo_name": "LSSTDESC/NaMaster",
"repo_path": "NaMaster_extracted/NaMaster-master/sandbox_validation/check_sph_pure.py",
"type": "Python"
} | from __future__ import print_function
from optparse import OptionParser
import numpy as np
import healpy as hp
import matplotlib.pyplot as plt
import pymaster as nmt
import os
import sys
DTOR=np.pi/180
def opt_callback(option, opt, value, parser):
setattr(parser.values, option.dest, value.split(','))
parser = Opt... | LSSTDESCREPO_NAMENaMasterPATH_START.@NaMaster_extracted@NaMaster-master@sandbox_validation@check_sph_pure.py@.PATH_END.py |
{
"filename": "_angle.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scatterternary/marker/_angle.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class AngleValidator(_plotly_utils.basevalidators.AngleValidator):
def __init__(
self, plotly_name="angle", parent_name="scatterternary.marker", **kwargs
):
super(AngleValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scatterternary@marker@_angle.py@.PATH_END.py |
{
"filename": "integration.py",
"repo_name": "LoganAMorrison/Hazma",
"repo_path": "Hazma_extracted/Hazma-master/test/rh_neutrino/integration.py",
"type": "Python"
} | import unittest
# import pytest
import numpy as np
from hazma.parameters import standard_model_masses as sm_masses
from hazma import rh_neutrino
ME = sm_masses["e"]
MMU = sm_masses["mu"]
MPI0 = sm_masses["pi0"]
MPI = sm_masses["pi"]
MRHO = sm_masses["rho"]
MOMEGA = sm_masses["omega"]
MPHI = sm_masses["phi"]
class ... | LoganAMorrisonREPO_NAMEHazmaPATH_START.@Hazma_extracted@Hazma-master@test@rh_neutrino@integration.py@.PATH_END.py |
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