metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "cacheprovider.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/pytest/py3/_pytest/cacheprovider.py",
"type": "Python"
} | """Implementation of the cache provider."""
# This plugin was not named "cache" to avoid conflicts with the external
# pytest-cache version.
import dataclasses
import json
import os
from pathlib import Path
from typing import Dict
from typing import Generator
from typing import Iterable
from typing import List
from typ... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@pytest@py3@_pytest@cacheprovider.py@.PATH_END.py |
{
"filename": "RKCoefficients.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/RK/RKCoefficients.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# RKCoefficients
#-------------------------------------------------------------------------------
from PYB11Generator import *
@PYB11template("Dimension")
class RKCoefficients:
"Carries the RK correction coefficients around"
PYB1... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@RK@RKCoefficients.py@.PATH_END.py |
{
"filename": "_densitymapbox.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/_densitymapbox.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Densitymapbox(_BaseTraceType):
# class properties
# --------------------
_parent_path_str = ""
_path_str = "densitymapbox"
_valid_props = {
"autocolorscale",
"below",
"coloraxis",
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@_densitymapbox.py@.PATH_END.py |
{
"filename": "fig_discrim_func_N7.py",
"repo_name": "rhdtownsend/gyre",
"repo_path": "gyre_extracted/gyre-master/docs/source/user-guide/numerical-methods/fig_discrim_func_N7.py",
"type": "Python"
} | #!/usr/bin/env python
#
# Discriminant function plot
# Imports
import matplotlib.pyplot as plt
import matplotlib.ticker as tkr
import numpy as np
import numpy.linalg as la
from colors import *
# Plot settings
plt.style.use('web.mplstyle')
# Calculation & plot parameters
N = 7
M = 1000
sigma_min = 0
sigma_max = ... | rhdtownsendREPO_NAMEgyrePATH_START.@gyre_extracted@gyre-master@docs@source@user-guide@numerical-methods@fig_discrim_func_N7.py@.PATH_END.py |
{
"filename": "parameters.py",
"repo_name": "CASTOR-telescope/ETC",
"repo_path": "ETC_extracted/ETC-master/castor_etc/parameters.py",
"type": "Python"
} | """
Contains parameters for CASTOR imaging chain.
---
GNU General Public License v3 (GNU GPLv3)
(c) 2022. (c) 2022.
Government of Canada Gouvernement du Canada
National Research Council Conseil national de recherches
Ottawa, Canada, K1A 0R6 O... | CASTOR-telescopeREPO_NAMEETCPATH_START.@ETC_extracted@ETC-master@castor_etc@parameters.py@.PATH_END.py |
{
"filename": "jinachat.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/community/langchain_community/chat_models/jinachat.py",
"type": "Python"
} | """JinaChat wrapper."""
from __future__ import annotations
import logging
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
Mapping,
Optional,
Tuple,
Type,
Union,
)
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
Callbac... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@community@langchain_community@chat_models@jinachat.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "zachetienne/nrpytutorial",
"repo_path": "nrpytutorial_extracted/nrpytutorial-master/CarpetX_z4c/__init__.py",
"type": "Python"
} | zachetienneREPO_NAMEnrpytutorialPATH_START.@nrpytutorial_extracted@nrpytutorial-master@CarpetX_z4c@__init__.py@.PATH_END.py | |
{
"filename": "_byteordercodes.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/io/matlab/_byteordercodes.py",
"type": "Python"
} | ''' Byteorder utilities for system - numpy byteorder encoding
Converts a variety of string codes for little endian, big endian,
native byte order and swapped byte order to explicit NumPy endian
codes - one of '<' (little endian) or '>' (big endian)
'''
import sys
__all__ = [
'aliases', 'native_code', 'swapped_co... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@io@matlab@_byteordercodes.py@.PATH_END.py |
{
"filename": "MspImagePlugin.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pillow/py2/PIL/MspImagePlugin.py",
"type": "Python"
} | #
# The Python Imaging Library.
#
# MSP file handling
#
# This is the format used by the Paint program in Windows 1 and 2.
#
# History:
# 95-09-05 fl Created
# 97-01-03 fl Read/write MSP images
# 17-02-21 es Fixed RLE interpretation
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fr... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pillow@py2@PIL@MspImagePlugin.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "yt-project/yt",
"repo_path": "yt_extracted/yt-main/yt/fields/api.py",
"type": "Python"
} | # from . import species_fields
from . import (
angular_momentum,
astro_fields,
cosmology_fields,
fluid_fields,
fluid_vector_fields,
geometric_fields,
local_fields,
magnetic_field,
my_plugin_fields,
particle_fields,
vector_operations,
)
from .derived_field import (
Derived... | yt-projectREPO_NAMEytPATH_START.@yt_extracted@yt-main@yt@fields@api.py@.PATH_END.py |
{
"filename": "finder.py",
"repo_name": "FRBs/FRB",
"repo_path": "FRB_extracted/FRB-main/frb/figures/finder.py",
"type": "Python"
} | """ Module for generating a finder chart """
import os
import numpy as np
from IPython import embed
from matplotlib import pyplot as plt
from matplotlib import font_manager
import matplotlib.cm as cm
from PIL import Image
from astropy import units
from astropy.visualization.wcsaxes import SphericalCircle
from astro... | FRBsREPO_NAMEFRBPATH_START.@FRB_extracted@FRB-main@frb@figures@finder.py@.PATH_END.py |
{
"filename": "example.ipynb",
"repo_name": "danhey/echelle",
"repo_path": "echelle_extracted/echelle-master/example.ipynb",
"type": "Jupyter Notebook"
} | ```python
import echelle
import matplotlib.pyplot as plt
import numpy as np
import lightkurve as lk
```
```python
# np.savetxt('bla.txt', list(zip(frequency, amplitude)))
frequency, amplitude = np.loadtxt('bla.txt').T
```
```python
c = echelle.interact_echelle(frequency, amplitude, 0.5, 2,
... | danheyREPO_NAMEechellePATH_START.@echelle_extracted@echelle-master@example.ipynb@.PATH_END.py |
{
"filename": "using_data_readers.md",
"repo_name": "CHIMEFRB/fitburst",
"repo_path": "fitburst_extracted/fitburst-main/docs/usage/using_data_readers.md",
"type": "Markdown"
} | The `fitburst` codebase uses a `DataReader` object for the following purposes:
1. to ensure that all attributes necessary for downstream analysis are initialized;
2. to provide methods for normalizing and (incoherently) dedispersing the input spectrum, if necessary;
3. to allow for experiment-specific modularity in pi... | CHIMEFRBREPO_NAMEfitburstPATH_START.@fitburst_extracted@fitburst-main@docs@usage@using_data_readers.md@.PATH_END.py |
{
"filename": "astro_fields.py",
"repo_name": "rennehan/yt-swift",
"repo_path": "yt-swift_extracted/yt-swift-main/yt/fields/astro_fields.py",
"type": "Python"
} | import numpy as np
from .derived_field import ValidateParameter
from .field_plugin_registry import register_field_plugin
from .vector_operations import create_magnitude_field
@register_field_plugin
def setup_astro_fields(registry, ftype="gas", slice_info=None):
unit_system = registry.ds.unit_system
pc = regi... | rennehanREPO_NAMEyt-swiftPATH_START.@yt-swift_extracted@yt-swift-main@yt@fields@astro_fields.py@.PATH_END.py |
{
"filename": "cr_reject.py",
"repo_name": "msiebert1/UCSC_spectral_pipeline",
"repo_path": "UCSC_spectral_pipeline_extracted/UCSC_spectral_pipeline-master/spectral_reduction/cr_reject.py",
"type": "Python"
} | from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
import copy
import glob
import scipy.stats as stats
def undo_sky_rejects(masked_data, original_data, tol=100):
num_nan_arr = []
for i, row in enumerate(masked_data):
num_nan = len(np.isnan(row)[np.isnan(row)==True])
... | msiebert1REPO_NAMEUCSC_spectral_pipelinePATH_START.@UCSC_spectral_pipeline_extracted@UCSC_spectral_pipeline-master@spectral_reduction@cr_reject.py@.PATH_END.py |
{
"filename": "_fixedrange.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/carpet/aaxis/_fixedrange.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FixedrangeValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="fixedrange", parent_name="carpet.aaxis", **kwargs):
super(FixedrangeValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@carpet@aaxis@_fixedrange.py@.PATH_END.py |
{
"filename": "presets.py",
"repo_name": "pytorch/vision",
"repo_path": "vision_extracted/vision-main/references/depth/stereo/presets.py",
"type": "Python"
} | from typing import Optional, Tuple, Union
import torch
import transforms as T
class StereoMatchingEvalPreset(torch.nn.Module):
def __init__(
self,
mean: float = 0.5,
std: float = 0.5,
resize_size: Optional[Tuple[int, ...]] = None,
max_disparity: Optional[float] = None,
... | pytorchREPO_NAMEvisionPATH_START.@vision_extracted@vision-main@references@depth@stereo@presets.py@.PATH_END.py |
{
"filename": "_legendrank.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/histogram/_legendrank.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LegendrankValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(self, plotly_name="legendrank", parent_name="histogram", **kwargs):
super(LegendrankValidator, 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@histogram@_legendrank.py@.PATH_END.py |
{
"filename": "_center.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/geo/_center.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class CenterValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="center", parent_name="layout.geo", **kwargs):
super(CenterValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@geo@_center.py@.PATH_END.py |
{
"filename": "_maxpoints.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/candlestick/stream/_maxpoints.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MaxpointsValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="maxpoints", parent_name="candlestick.stream", **kwargs
):
super(MaxpointsValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@candlestick@stream@_maxpoints.py@.PATH_END.py |
{
"filename": "read_from_lasair.py",
"repo_name": "daniel-muthukrishna/astrorapid",
"repo_path": "astrorapid_extracted/astrorapid-master/read_from_lasair.py",
"type": "Python"
} | import numpy as np
from collections import OrderedDict
import json
from six.moves.urllib.request import urlopen
from astroquery.irsa_dust import IrsaDust
import astropy.coordinates as coord
import astropy.units as u
from astrorapid.classify import Classify
from astrorapid.helpers import delete_indexes, convert_lists_... | daniel-muthukrishnaREPO_NAMEastrorapidPATH_START.@astrorapid_extracted@astrorapid-master@read_from_lasair.py@.PATH_END.py |
{
"filename": "plot_test_fn.py",
"repo_name": "exoclime/THOR",
"repo_path": "THOR_extracted/THOR-main/mjolnir/plot_test_fn.py",
"type": "Python"
} | #---- Runs through a subset of simulations to test functionality of plot code -
#---- code by Russell Deitrick ------------------------------------------------
# to do: add a sync rot with pbl case
# add hd 189 w/ and w/o full g
# add W43 w/ HELIOS
# clean up (delete unused output files or don't o... | exoclimeREPO_NAMETHORPATH_START.@THOR_extracted@THOR-main@mjolnir@plot_test_fn.py@.PATH_END.py |
{
"filename": "box_inequalities.py",
"repo_name": "stephane-caron/qpsolvers",
"repo_path": "qpsolvers_extracted/qpsolvers-main/examples/box_inequalities.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: LGPL-3.0-or-later
# Copyright 2016-2022 Stéphane Caron and the qpsolvers contributors
"""Test an available QP solvers on a small problem with box inequalities."""
import random
from time import perf_counter
import numpy as np
from qpsolvers ... | stephane-caronREPO_NAMEqpsolversPATH_START.@qpsolvers_extracted@qpsolvers-main@examples@box_inequalities.py@.PATH_END.py |
{
"filename": "noise-color-kasdin.py",
"repo_name": "aewallin/allantools",
"repo_path": "allantools_extracted/allantools-master/examples/noise-color-kasdin.py",
"type": "Python"
} | #!/usr/bin/env python
# import numpy as np
import matplotlib.pyplot as plt
import allantools as at
import math
# note that latex requires e.g. a texlive installation and dvipng
plt.rc('text', usetex=True) # for latex
plt.rc('font', family='serif')
"""
colorednoise example with phase-PSD, frequency-PSD, and ADEV/MDE... | aewallinREPO_NAMEallantoolsPATH_START.@allantools_extracted@allantools-master@examples@noise-color-kasdin.py@.PATH_END.py |
{
"filename": "mlflow.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/chat_models/mlflow.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.chat_models.mlflow import ChatMlflow
# 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@chat_models@mlflow.py@.PATH_END.py |
{
"filename": "test_count.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/frame/methods/test_count.py",
"type": "Python"
} | from pandas import (
DataFrame,
Series,
)
import pandas._testing as tm
class TestDataFrameCount:
def test_count(self):
# corner case
frame = DataFrame()
ct1 = frame.count(1)
assert isinstance(ct1, Series)
ct2 = frame.count(0)
assert isinstance(ct2, Series)
... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@frame@methods@test_count.py@.PATH_END.py |
{
"filename": "test_de.py",
"repo_name": "dfm/emcee",
"repo_path": "emcee_extracted/emcee-main/src/emcee/tests/integration/test_de.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from emcee import moves
from .test_proposal import _test_normal, _test_uniform
__all__ = ["test_normal_de", "test_normal_de_no_gamma", "test_uniform_de"]
def test_normal_de(**kwargs):
_test_normal(moves.DEMove(), **kwargs)
def test_normal_de_no_gamma(**kwargs):
_test_normal(moves.... | dfmREPO_NAMEemceePATH_START.@emcee_extracted@emcee-main@src@emcee@tests@integration@test_de.py@.PATH_END.py |
{
"filename": "info_ga.py",
"repo_name": "pavolgaj/OCFit",
"repo_path": "OCFit_extracted/OCFit-master/OCFit/info_ga.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
#class for statistics about GA or DE fitting
#version 0.2.1
#update: 22.6.2022
# (c) Pavol Gajdos, 2018 - 2022
from pickle import load
import numpy as np
try: import matplotlib.pyplot as mpl
except:
#import on server without graphic output
import matplotlib
matplotlib.use('Agg',f... | pavolgajREPO_NAMEOCFitPATH_START.@OCFit_extracted@OCFit-master@OCFit@info_ga.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/surface/hoverlabel/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._namelengthsrc import NamelengthsrcValidator
from ._namelength import NamelengthValidator
from ._font import FontValidator
from ._bordercolorsrc import BordercolorsrcValidator
from ._bordercolor import ... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@surface@hoverlabel@__init__.py@.PATH_END.py |
{
"filename": "straighten.py",
"repo_name": "kevin218/Eureka",
"repo_path": "Eureka_extracted/Eureka-main/src/eureka/S3_data_reduction/straighten.py",
"type": "Python"
} | import numpy as np
from ..lib import smooth
from . import plots_s3
def find_column_median_shifts(data, meta, m):
'''Takes the median frame (in time) and finds the
center of mass (COM) in pixels for each column. It then returns the needed
shift to apply to each column to bring the COM to the center
Pa... | kevin218REPO_NAMEEurekaPATH_START.@Eureka_extracted@Eureka-main@src@eureka@S3_data_reduction@straighten.py@.PATH_END.py |
{
"filename": "recipe_register.py",
"repo_name": "igrins/plp",
"repo_path": "plp_extracted/plp-master/igrins/igrins_recipes/recipe_register.py",
"type": "Python"
} | from ..pipeline.steps import Step
from ..procedures.sky_spec import (_make_combined_image_sky,
extract_spectra)
from ..procedures.procedures_register import (identify_orders,
identify_lines,
... | igrinsREPO_NAMEplpPATH_START.@plp_extracted@plp-master@igrins@igrins_recipes@recipe_register.py@.PATH_END.py |
{
"filename": "info.py",
"repo_name": "sfarrens/sf_deconvolve",
"repo_path": "sf_deconvolve_extracted/sf_deconvolve-master/sf_deconvolve_lib/info.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""SF_DECONVOLVE PACKAGE INFO
This module provides some basic information about the sf_deconvolve package.
:Author: Samuel Farrens <samuel.farrens@cea.fr>
:Version: 5.0.0
"""
# Package Version
version_info = (5, 0, 0)
__version__ = '.'.join(str(c) for c in version_info)
__about__ = ('sf_d... | sfarrensREPO_NAMEsf_deconvolvePATH_START.@sf_deconvolve_extracted@sf_deconvolve-master@sf_deconvolve_lib@info.py@.PATH_END.py |
{
"filename": "_uirevision.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/densitymapbox/_uirevision.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class UirevisionValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="uirevision", parent_name="densitymapbox", **kwargs):
super(UirevisionValidator, 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@densitymapbox@_uirevision.py@.PATH_END.py |
{
"filename": "kepclean.py",
"repo_name": "KeplerGO/PyKE",
"repo_path": "PyKE_extracted/PyKE-master/pyke/kepclean.py",
"type": "Python"
} | from .utils import PyKEArgumentHelpFormatter
from . import kepio, kepmsg, kepkey
import numpy as np
from astropy.io import fits as pyfits
__all__ = ['kepclean']
def kepclean(infile, outfile=None, zero=True, overwrite=False, verbose=False,
logfile='kepclean.log'):
"""
Remove NaN values from a kepl... | KeplerGOREPO_NAMEPyKEPATH_START.@PyKE_extracted@PyKE-master@pyke@kepclean.py@.PATH_END.py |
{
"filename": "test_likelihood.ipynb",
"repo_name": "substellar/brewster",
"repo_path": "brewster_extracted/brewster-master/test_likelihood.ipynb",
"type": "Jupyter Notebook"
} | ```python
import multiprocessing
import time
import numpy as np
import scipy as sp
import emcee
import testkit
import ciamod
import settings
import os
import gc
import sys
import pickle
from scipy.io.idl import readsav
from scipy import interpolate
from scipy.interpolate import interp1d
from scipy.interpolate import In... | substellarREPO_NAMEbrewsterPATH_START.@brewster_extracted@brewster-master@test_likelihood.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "PrincetonUniversity/athena",
"repo_path": "athena_extracted/athena-master/tst/regression/scripts/tests/__init__.py",
"type": "Python"
} | PrincetonUniversityREPO_NAMEathenaPATH_START.@athena_extracted@athena-master@tst@regression@scripts@tests@__init__.py@.PATH_END.py | |
{
"filename": "search_old.py",
"repo_name": "hposborn/MonoTools",
"repo_path": "MonoTools_extracted/MonoTools-main/MonoTools/search_old.py",
"type": "Python"
} | #
# Let's use this python script to:
# - perform transit "Quick fit"
# - Search for dips in a lightcurve which match that detected
# - Search for secondaries
# - Perform quick/dirty EB modelling
#
import numpy as np
import pandas as pd
import pickle
import os
import glob
from copy import deepcopy
from datetime impor... | hposbornREPO_NAMEMonoToolsPATH_START.@MonoTools_extracted@MonoTools-main@MonoTools@search_old.py@.PATH_END.py |
{
"filename": "_ids.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/isosurface/_ids.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class IdsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="ids", parent_name="isosurface", **kwargs):
super(IdsValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@isosurface@_ids.py@.PATH_END.py |
{
"filename": "_minallowed.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/layout/scene/xaxis/_minallowed.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MinallowedValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="minallowed", parent_name="layout.scene.xaxis", **kwargs
):
super(MinallowedValidator, self).__init__(
plotly_name=plotly_name,
pare... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@layout@scene@xaxis@_minallowed.py@.PATH_END.py |
{
"filename": "actionAngleInverse.py",
"repo_name": "jobovy/galpy",
"repo_path": "galpy_extracted/galpy-main/galpy/actionAngle/actionAngleInverse.py",
"type": "Python"
} | ###############################################################################
# actionAngleInverse.py: top-level class with common routines for inverse
# actionAngle methods
###############################################################################
from ..util.conversion import (
actio... | jobovyREPO_NAMEgalpyPATH_START.@galpy_extracted@galpy-main@galpy@actionAngle@actionAngleInverse.py@.PATH_END.py |
{
"filename": "grammar_notation.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/lexers/grammar_notation.py",
"type": "Python"
} | """
pygments.lexers.grammar_notation
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Lexers for grammar notations like BNF.
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
from pygments.lexer import RegexLexer, bygroups, include, this, using, words
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@lexers@grammar_notation.py@.PATH_END.py |
{
"filename": "test_param_clippers.py",
"repo_name": "ArgonneCPAC/diffstar",
"repo_path": "diffstar_extracted/diffstar-main/diffstar/fitting_helpers/tests/test_param_clippers.py",
"type": "Python"
} | """
"""
import numpy as np
from jax import random as jran
from ...kernels.main_sequence_kernels import (
MS_PARAM_BOUNDS_PDICT,
_get_bounded_sfr_params_vmap,
_get_unbounded_sfr_params_vmap,
)
from ...kernels.quenching_kernels import (
Q_PARAM_BOUNDS_PDICT,
_get_bounded_q_params_vmap,
_get_unbou... | ArgonneCPACREPO_NAMEdiffstarPATH_START.@diffstar_extracted@diffstar-main@diffstar@fitting_helpers@tests@test_param_clippers.py@.PATH_END.py |
{
"filename": "utf_16_le.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/tools/python3/Lib/encodings/utf_16_le.py",
"type": "Python"
} | """ Python 'utf-16-le' Codec
Written by Marc-Andre Lemburg (mal@lemburg.com).
(c) Copyright CNRI, All Rights Reserved. NO WARRANTY.
"""
import codecs
### Codec APIs
encode = codecs.utf_16_le_encode
def decode(input, errors='strict'):
return codecs.utf_16_le_decode(input, errors, True)
class IncrementalEncod... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@tools@python3@Lib@encodings@utf_16_le.py@.PATH_END.py |
{
"filename": "example3.ipynb",
"repo_name": "astroCV/astroCV",
"repo_path": "astroCV_extracted/astroCV-master/galaxy_detection/example3.ipynb",
"type": "Jupyter Notebook"
} | ```python
#Basic AstroCV example 3
#Detect galaxies in online images
#Optimal image ratio = 4:3 (ratio of traning images)
#Detects galaxies in online images, then crops them so they have a 4:3 ratio, and compares number of galaxies detected in the cropped zone
import sys
import pyyolo
import numpy as np
from PIL... | astroCVREPO_NAMEastroCVPATH_START.@astroCV_extracted@astroCV-master@galaxy_detection@example3.ipynb@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "danielemichilli/SpS",
"repo_path": "SpS_extracted/SpS-master/sps/__init__.py",
"type": "Python"
} | name = "sps"
| danielemichilliREPO_NAMESpSPATH_START.@SpS_extracted@SpS-master@sps@__init__.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/colorbar/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._yref import YrefValidator
from ._ypad import YpadValidator
from ._yanchor import YanchorValidator
from ._y import YValidator
from ._xref import XrefValidator
from ._xpad import XpadValidator
fr... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@contour@colorbar@__init__.py@.PATH_END.py |
{
"filename": "_dtick.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/polar/radialaxis/_dtick.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class DtickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(
self, plotly_name="dtick", parent_name="layout.polar.radialaxis", **kwargs
):
super(DtickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@polar@radialaxis@_dtick.py@.PATH_END.py |
{
"filename": "scripts.py",
"repo_name": "StingraySoftware/stingray",
"repo_path": "stingray_extracted/stingray-main/stingray/modeling/scripts.py",
"type": "Python"
} | import numpy as np
from astropy.modeling import models
from stingray.modeling import PSDParEst, PSDPosterior, PSDLogLikelihood
from stingray.modeling import GaussianPosterior, GaussianLogLikelihood
from stingray import Powerspectrum
__all__ = ["fit_powerspectrum", "fit_crossspectrum", "fit_lorentzians"]
def fit_pow... | StingraySoftwareREPO_NAMEstingrayPATH_START.@stingray_extracted@stingray-main@stingray@modeling@scripts.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/histogram2d/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="histogram2d", **kwargs):
super(StreamValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@histogram2d@_stream.py@.PATH_END.py |
{
"filename": "transform.py",
"repo_name": "google/jax",
"repo_path": "jax_extracted/jax-main/jax/scipy/spatial/transform.py",
"type": "Python"
} | # Copyright 2023 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@scipy@spatial@transform.py@.PATH_END.py |
{
"filename": "Fluctuations.py",
"repo_name": "mirochaj/ares",
"repo_path": "ares_extracted/ares-main/ares/static/Fluctuations.py",
"type": "Python"
} | """
FluctuatingBackground.py
Author: Jordan M_brocha
Affiliation: UCLA
Created on: Mon Oct 10 14:29:54 PDT 2016
Description:
"""
import numpy as np
from math import factorial
from ..physics import Cosmology
from ..util import ParameterFile
from ..util.Stats import bin_c2e
from scipy.special import erfinv
from scip... | mirochajREPO_NAMEaresPATH_START.@ares_extracted@ares-main@ares@static@Fluctuations.py@.PATH_END.py |
{
"filename": "write_icfile.py",
"repo_name": "meyeralexj/gubas",
"repo_path": "gubas_extracted/gubas-master/write_icfile.py",
"type": "Python"
} | import scipy.integrate as integ
import scipy.io as io
# import matplotlib.pyplot as plots
# from mpl_toolkits.mplot3d import Axes3D
# import matplotlib.tri as mtri
# from matplotlib import animation
import numpy as np
import random as rnd
from numpy import linalg as la
from numpy import math as ma
import subprocess
# ... | meyeralexjREPO_NAMEgubasPATH_START.@gubas_extracted@gubas-master@write_icfile.py@.PATH_END.py |
{
"filename": "test_news.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/tsa/statespace/tests/test_news.py",
"type": "Python"
} | r"""
Tests for news results
Author: Chad Fulton
License: BSD-3
"""
from statsmodels.compat.pandas import (
FUTURE_STACK,
assert_frame_equal,
assert_series_equal,
)
import numpy as np
from numpy.testing import assert_, assert_allclose, assert_equal
import pandas as pd
import pytest
from statsmodels import... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@tsa@statespace@tests@test_news.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/choroplethmapbox/colorbar/title/font/__init__.py",
"type": "Python"
} | import sys
from typing import TYPE_CHECKING
if sys.version_info < (3, 7) or TYPE_CHECKING:
from ._weight import WeightValidator
from ._variant import VariantValidator
from ._textcase import TextcaseValidator
from ._style import StyleValidator
from ._size import SizeValidator
from ._shadow impor... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@choroplethmapbox@colorbar@title@font@__init__.py@.PATH_END.py |
{
"filename": "hdu_table.py",
"repo_name": "cta-observatory/cta-lstchain",
"repo_path": "cta-lstchain_extracted/cta-lstchain-main/lstchain/high_level/hdu_table.py",
"type": "Python"
} | """
Module containing functions to create DL3 event lists and DL3 index files,
following recommendations from GADF v0.3
For reference to the documentation of GADF v0.3 follow various sections in,
https://gamma-astro-data-formats.readthedocs.io/en/latest/
"""
import logging
import os
import astropy.units as u
import ... | cta-observatoryREPO_NAMEcta-lstchainPATH_START.@cta-lstchain_extracted@cta-lstchain-main@lstchain@high_level@hdu_table.py@.PATH_END.py |
{
"filename": "_thicknessmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymap/colorbar/_thicknessmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="thicknessmode", parent_name="densitymap.colorbar", **kwargs
):
super(ThicknessmodeValidator, self).__init__(
plotly_name=plotly_name,... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymap@colorbar@_thicknessmode.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/numpy/py3/numpy/matrixlib/setup.py",
"type": "Python"
} | #!/usr/bin/env python3
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('matrixlib', parent_package, top_path)
config.add_subpackage('tests')
config.add_data_files('*.pyi')
return config
if __name__ == "__main__":
fr... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@numpy@py3@numpy@matrixlib@setup.py@.PATH_END.py |
{
"filename": "colordata.py",
"repo_name": "jiffyclub/palettable",
"repo_path": "palettable_extracted/palettable-master/palettable/plotly/colordata.py",
"type": "Python"
} | """
Color maps from Plotly package
Learn more at https://github.com/plotly/plotly.py and view the MIT license at
https://github.com/plotly/plotly.py/blob/master/LICENSE.txt
"""
PLOTLY = [
(99, 110, 250),
(239, 85, 59),
(0, 204, 150),
(171, 99, 250),
(255, 161, 90),
(25, 211, 243),
(255, 10... | jiffyclubREPO_NAMEpalettablePATH_START.@palettable_extracted@palettable-master@palettable@plotly@colordata.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/backend/numpy/core.py",
"type": "Python"
} | import builtins
import contextlib
import functools
import warnings
import numpy as np
from keras.src import tree
from keras.src.backend.common import KerasVariable
from keras.src.backend.common import standardize_dtype
from keras.src.backend.common.backend_utils import slice_along_axis
from keras.src.backend.common.d... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@backend@numpy@core.py@.PATH_END.py |
{
"filename": "_lenmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/scattercarpet/marker/colorbar/_lenmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LenmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="lenmode",
parent_name="scattercarpet.marker.colorbar",
**kwargs
):
super(LenmodeValidator, self).__init__(
plotly_n... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@scattercarpet@marker@colorbar@_lenmode.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "simonsobs/socs",
"repo_path": "socs_extracted/socs-main/socs/agents/hwp_pid/drivers/__init__.py",
"type": "Python"
} | simonsobsREPO_NAMEsocsPATH_START.@socs_extracted@socs-main@socs@agents@hwp_pid@drivers@__init__.py@.PATH_END.py | |
{
"filename": "MOFF_testing_MWA.py",
"repo_name": "epic-astronomy/EPIC",
"repo_path": "EPIC_extracted/EPIC-master/main/MOFF_testing_MWA.py",
"type": "Python"
} | import datetime as DT
import numpy as NP
import matplotlib.pyplot as PLT
import matplotlib.colors as PLTC
import scipy.constants as FCNST
import antenna_array as AA
import geometry as GEOM
import sim_observe as SIM
import ipdb as PDB
itr = 1
# Antenna initialization
lat = -26.701 # Latitude of MWA in degrees
f0 = 15... | epic-astronomyREPO_NAMEEPICPATH_START.@EPIC_extracted@EPIC-master@main@MOFF_testing_MWA.py@.PATH_END.py |
{
"filename": "_partial_dependence.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/inspection/_partial_dependence.py",
"type": "Python"
} | """Partial dependence plots for regression and classification models."""
# Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import warnings
from collections.abc import Iterable
import numpy as np
from scipy import sparse
from scipy.stats.mstats import mquantiles
from ..base import is_cla... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@inspection@_partial_dependence.py@.PATH_END.py |
{
"filename": "realistic_continents_fixed_sst_test_case.py",
"repo_name": "ExeClim/Isca",
"repo_path": "Isca_extracted/Isca-master/exp/test_cases/realistic_continents/realistic_continents_fixed_sst_test_case.py",
"type": "Python"
} | import os
import numpy as np
import f90nml
from isca import IscaCodeBase, DiagTable, Experiment, Namelist, GFDL_BASE
NCORES = 4
base_dir = os.path.dirname(os.path.realpath(__file__))
# a CodeBase can be a directory on the computer,
# useful for iterative development
cb = IscaCodeBase.from_directory(GFDL_BASE)
# or... | ExeClimREPO_NAMEIscaPATH_START.@Isca_extracted@Isca-master@exp@test_cases@realistic_continents@realistic_continents_fixed_sst_test_case.py@.PATH_END.py |
{
"filename": "RELEASE_NOTES.md",
"repo_name": "Keck-DataReductionPipelines/OsirisDRP",
"repo_path": "OsirisDRP_extracted/OsirisDRP-master/RELEASE_NOTES.md",
"type": "Markdown"
} | ## Release Notes for v6.0
**2022-04-12**
- Update to the manual including: discussion of new imager, new tables of sensitivities for imager and spectrograph, updates on how to observe with the TRICK NIR TT sensor, discussion of the new exposure time calculator, new discussion of the OSIRIS imager reduction pipeline KAI... | Keck-DataReductionPipelinesREPO_NAMEOsirisDRPPATH_START.@OsirisDRP_extracted@OsirisDRP-master@RELEASE_NOTES.md@.PATH_END.py |
{
"filename": "example_UF23.ipynb",
"repo_name": "me-manu/gammaALPs",
"repo_path": "gammaALPs_extracted/gammaALPs-master/notebooks/UF23/example_UF23.ipynb",
"type": "Jupyter Notebook"
} | # Notebook that demonstrates the use of the UF23 model
```python
# to import the gmf.py, this cell should be only executed once after kernel restart
%cd ..
%cd ..
```
/mnt/c/Users/friba/Desktop/Bachelorarbeit/gammaALPs/notebooks
/mnt/c/Users/friba/Desktop/Bachelorarbeit/gammaALPs
/home/flandgraf/.local... | me-manuREPO_NAMEgammaALPsPATH_START.@gammaALPs_extracted@gammaALPs-master@notebooks@UF23@example_UF23.ipynb@.PATH_END.py |
{
"filename": "convert_saved_model.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/python/convert_saved_model.py",
"type": "Python"
} | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@python@convert_saved_model.py@.PATH_END.py |
{
"filename": "mlab.py",
"repo_name": "enthought/mayavi",
"repo_path": "mayavi_extracted/mayavi-master/mayavi/tools/mlab.py",
"type": "Python"
} | # Author: Gael Varoquaux <gael.varoquaux at normalesup.org>
# Copyright (c) 2007-2020, Enthought, Inc.
# License: BSD Style.
print("!! mayavi.tools.mlab is obsolete and has been replaced by !!")
print("!! mayavi.mlab. Please update your code. !!")
from mayavi.mlab import *
| enthoughtREPO_NAMEmayaviPATH_START.@mayavi_extracted@mayavi-master@mayavi@tools@mlab.py@.PATH_END.py |
{
"filename": "test_utils.py",
"repo_name": "RadioAstronomySoftwareGroup/pyradiosky",
"repo_path": "pyradiosky_extracted/pyradiosky-main/tests/test_utils.py",
"type": "Python"
} | # Copyright (c) 2019 Radio Astronomy Software Group
# Licensed under the 2-clause BSD License
import os
import astropy.units as units
import numpy as np
import pytest
from astropy.coordinates import Angle
from astropy.time import Time
from pyradiosky import SkyModel, utils as skyutils
def test_tee_ra_loop():
ti... | RadioAstronomySoftwareGroupREPO_NAMEpyradioskyPATH_START.@pyradiosky_extracted@pyradiosky-main@tests@test_utils.py@.PATH_END.py |
{
"filename": "_font.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/scatter3d/hoverlabel/_font.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Font(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatter3d.hoverlabel"
_path_str = "scatter3d.hoverlabel.font"
_valid_props = {"color", "colors... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@scatter3d@hoverlabel@_font.py@.PATH_END.py |
{
"filename": "simple.py",
"repo_name": "gwastro/pycbc",
"repo_path": "pycbc_extracted/pycbc-master/examples/workflow/generic/simple_subworkflow_data/simple.py",
"type": "Python"
} | """ A minimal pycbc workflow example """
import argparse
import pycbc
import pycbc.workflow as wf
import os
pycbc.init_logging(True)
parser = argparse.ArgumentParser(description=__doc__[1:])
parser.add_argument("--multilevel", action='store_true', default=False)
wf.add_workflow_command_line_group(parser)
wf.add_workf... | gwastroREPO_NAMEpycbcPATH_START.@pycbc_extracted@pycbc-master@examples@workflow@generic@simple_subworkflow_data@simple.py@.PATH_END.py |
{
"filename": "test_idl_read_ephem_obs.py",
"repo_name": "maserlib/ExPRES",
"repo_path": "ExPRES_extracted/ExPRES-master/test/test_idl_read_ephem_obs.py",
"type": "Python"
} | from . import *
import unittest
import datetime
import numpy
test_read_ephem_obs_files = {'wgc': ['data/JUICE/StateVectorResults.txt'], 'uiowa':[]}
class amj_aj(unittest.TestCase):
"""
Test cases for serpe/expres READ_EPHEM_OBS.PRO
"""
def setUp(self):
self.idl = init_serpe_idl()
sel... | maserlibREPO_NAMEExPRESPATH_START.@ExPRES_extracted@ExPRES-master@test@test_idl_read_ephem_obs.py@.PATH_END.py |
{
"filename": "_common.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scipy/py3/scipy/misc/_common.py",
"type": "Python"
} | """
Functions which are common and require SciPy Base and Level 1 SciPy
(special, linalg)
"""
import importlib.resources
from scipy._lib.deprecation import _deprecated
from scipy._lib._finite_differences import _central_diff_weights, _derivative
from numpy import array, frombuffer, load
__all__ = ['central_diff_weigh... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scipy@py3@scipy@misc@_common.py@.PATH_END.py |
{
"filename": "metadata_writer_tutorial.ipynb",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/models/convert/metadata_writer_tutorial.ipynb",
"type": "Jupyter Notebook"
} | ##### Copyright 2024 The AI Edge Authors.
```python
#@title 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... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@models@convert@metadata_writer_tutorial.ipynb@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/box/_marker.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="marker", parent_name="box", **kwargs):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
dat... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@box@_marker.py@.PATH_END.py |
{
"filename": "tick_xlabel_top.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/ticks/tick_xlabel_top.py",
"type": "Python"
} | """
==================================
Move x-axis tick labels to the top
==================================
`~.axes.Axes.tick_params` can be used to configure the ticks. *top* and
*labeltop* control the visibility tick lines and labels at the top x-axis.
To move x-axis ticks from bottom to top, we have to activate th... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@ticks@tick_xlabel_top.py@.PATH_END.py |
{
"filename": "_x.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/parcats/domain/_x.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class XValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(self, plotly_name="x", parent_name="parcats.domain", **kwargs):
super(XValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
edit_t... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@parcats@domain@_x.py@.PATH_END.py |
{
"filename": "test_rate_network.py",
"repo_name": "sbird/fake_spectra",
"repo_path": "fake_spectra_extracted/fake_spectra-master/fake_spectra/tests/test_rate_network.py",
"type": "Python"
} | """Tests for the rate network."""
import numpy as np
from fake_spectra import rate_network
from fake_spectra import ratenetworkspectra
from fake_spectra._spectra_priv import _interpolate_2d
def _exact_alphaHp():
"""For hydrogen recombination we have an exact answer from Ferland et al 1992 (http://adsabs.harvard.e... | sbirdREPO_NAMEfake_spectraPATH_START.@fake_spectra_extracted@fake_spectra-master@fake_spectra@tests@test_rate_network.py@.PATH_END.py |
{
"filename": "version.py",
"repo_name": "cta-observatory/ctapipe",
"repo_path": "ctapipe_extracted/ctapipe-main/src/ctapipe/version.py",
"type": "Python"
} | # this is adapted from https://github.com/astropy/astropy/blob/master/astropy/version.py
# see https://github.com/astropy/astropy/pull/10774 for a discussion on why this needed.
try:
try:
from ._dev_version import version
except ImportError:
from ._version import version
except Exception:
i... | cta-observatoryREPO_NAMEctapipePATH_START.@ctapipe_extracted@ctapipe-main@src@ctapipe@version.py@.PATH_END.py |
{
"filename": "test_parameters.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/test/suite/core_tests/test_parameters.py",
"type": "Python"
} | import warnings
from amuse.test import amusetest
from amuse.support.exceptions import AmuseException, AmuseWarning
from amuse.units import nbody_system, generic_unit_system, generic_unit_converter
from amuse.units import units
from amuse.datamodel import parameters
from amuse.support.interface import HandleParameters
... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@test@suite@core_tests@test_parameters.py@.PATH_END.py |
{
"filename": "_color.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/densitymap/hoverlabel/font/_color.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ColorValidator(_plotly_utils.basevalidators.ColorValidator):
def __init__(
self, plotly_name="color", parent_name="densitymap.hoverlabel.font", **kwargs
):
super(ColorValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@densitymap@hoverlabel@font@_color.py@.PATH_END.py |
{
"filename": "test_imageuri_validator.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/_plotly_utils/tests/validators/test_imageuri_validator.py",
"type": "Python"
} | import base64
import os
import pytest
from _plotly_utils.basevalidators import ImageUriValidator
from PIL import Image
# Fixtures
# --------
@pytest.fixture()
def validator():
return ImageUriValidator("prop", "parent")
# Tests
# -----
# ### Acceptance ###
@pytest.mark.parametrize(
"val",
[
"htt... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@_plotly_utils@tests@validators@test_imageuri_validator.py@.PATH_END.py |
{
"filename": "_family.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/layout/slider/font/_family.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FamilyValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self, plotly_name="family", parent_name="layout.slider.font", **kwargs
):
super(FamilyValidator, self).__init__(
plotly_name=plotly_name,
parent_name=p... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@layout@slider@font@_family.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "mdruett/COCOPLOT",
"repo_path": "COCOPLOT_extracted/COCOPLOT-master/Python/cocopy/__init__.py",
"type": "Python"
} | #!/bin/env python
# -*- coding: utf-8 -*-
from .cocoplot import plot, video, filter, filtplot
| mdruettREPO_NAMECOCOPLOTPATH_START.@COCOPLOT_extracted@COCOPLOT-master@Python@cocopy@__init__.py@.PATH_END.py |
{
"filename": "federate_knownPWtce.py",
"repo_name": "christopherburke/TESS-ExoClass",
"repo_path": "TESS-ExoClass_extracted/TESS-ExoClass-master/code/federate_knownPWtce.py",
"type": "Python"
} | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 28 11:51:04 2018
Federate/ephemeris match known confirmed planets hosted
at NExScI with the TCEs. Must be online for the search to
work. Also queries MAST for TIC's that may be near.
@author: Christopher J. Burke
"""
import numpy as np
import toi... | christopherburkeREPO_NAMETESS-ExoClassPATH_START.@TESS-ExoClass_extracted@TESS-ExoClass-master@code@federate_knownPWtce.py@.PATH_END.py |
{
"filename": "combine_linear_box_inequalities.py",
"repo_name": "stephane-caron/qpsolvers",
"repo_path": "qpsolvers_extracted/qpsolvers-main/qpsolvers/conversions/combine_linear_box_inequalities.py",
"type": "Python"
} | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: LGPL-3.0-or-later
# Copyright 2016-2023 Stéphane Caron and the qpsolvers contributors
"""Combine linear and box inequalities into double-sided linear format."""
import numpy as np
import scipy.sparse as spa
from ..exceptions import ProblemErr... | stephane-caronREPO_NAMEqpsolversPATH_START.@qpsolvers_extracted@qpsolvers-main@qpsolvers@conversions@combine_linear_box_inequalities.py@.PATH_END.py |
{
"filename": "_covtype.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/scikit-learn/py3/sklearn/datasets/_covtype.py",
"type": "Python"
} | """Forest covertype dataset.
A classic dataset for classification benchmarks, featuring categorical and
real-valued features.
The dataset page is available from UCI Machine Learning Repository
https://archive.ics.uci.edu/ml/datasets/Covertype
Courtesy of Jock A. Blackard and Colorado State University.
"""
# Au... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@scikit-learn@py3@sklearn@datasets@_covtype.py@.PATH_END.py |
{
"filename": "CHANGELOG.md",
"repo_name": "pysat/pysat",
"repo_path": "pysat_extracted/pysat-main/CHANGELOG.md",
"type": "Markdown"
} | Change Log
==========
All notable changes to this project will be documented in this file.
This project adheres to [Semantic Versioning](https://semver.org/).
[3.2.1] - 2024-10-03
--------------------
* Bug Fix
* Fixed a bug for identifying clean warnings to test
* Imposed minimum frequency of `1D` on `Instrument.... | pysatREPO_NAMEpysatPATH_START.@pysat_extracted@pysat-main@CHANGELOG.md@.PATH_END.py |
{
"filename": "test_widget.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/ipywidgets/py3/ipywidgets/widgets/tests/test_widget.py",
"type": "Python"
} | # Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
"""Test Widget."""
import inspect
import pytest
from IPython.core.interactiveshell import InteractiveShell
from IPython.display import display
from IPython.utils.capture import capture_output
from ipywidgets.widgets... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@ipywidgets@py3@ipywidgets@widgets@tests@test_widget.py@.PATH_END.py |
{
"filename": "undo.py",
"repo_name": "vaexio/vaex",
"repo_path": "vaex_extracted/vaex-master/packages/vaex-ui/vaex/ui/undo.py",
"type": "Python"
} | import logging
import numpy as np
import copy
logger = logging.getLogger("vaex.ui.undo")
class UndoManager(object):
def __init__(self, max_bytes=1024**3):
self.actions_undo = []
self.actions_redo = []
self.undo_count = 0 # number of times undo is pressed
def undo(self):
logg... | vaexioREPO_NAMEvaexPATH_START.@vaex_extracted@vaex-master@packages@vaex-ui@vaex@ui@undo.py@.PATH_END.py |
{
"filename": "tfsa-2022-091.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/security/advisory/tfsa-2022-091.md",
"type": "Markdown"
} | ## TFSA-2022-091: `CHECK` failure in `AvgPoolOp`
### CVE Number
CVE-2022-35941
### Impact
The [`AvgPoolOp`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/avgpooling_op.cc#L56-L98) function takes an argument `ksize` that must be positive but is not check... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@security@advisory@tfsa-2022-091.md@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "nu-radio/NuRadioMC",
"repo_path": "NuRadioMC_extracted/NuRadioMC-master/NuRadioMC/SignalProp/CPPAnalyticRayTracing/setup.py",
"type": "Python"
} | from setuptools import setup
from Cython.Build import cythonize
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy
import os
try:
print('Your $GSLDIR = ' + str(os.environ['GSLDIR']))
except:
print('You have either not installed GSL or have not set the system variable ... | nu-radioREPO_NAMENuRadioMCPATH_START.@NuRadioMC_extracted@NuRadioMC-master@NuRadioMC@SignalProp@CPPAnalyticRayTracing@setup.py@.PATH_END.py |
{
"filename": "ext_car.py",
"repo_name": "quatrope/feets",
"repo_path": "feets_extracted/feets-master/feets/extractors/ext_car.py",
"type": "Python"
} | #!/usr/bin/env python
# The MIT License (MIT)
# Copyright (c) 2017 Juan Cabral
# 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
... | quatropeREPO_NAMEfeetsPATH_START.@feets_extracted@feets-master@feets@extractors@ext_car.py@.PATH_END.py |
{
"filename": "test_io_losc.py",
"repo_name": "gwpy/gwpy",
"repo_path": "gwpy_extracted/gwpy-main/gwpy/timeseries/tests/test_io_losc.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
# Copyright (C) Cardiff University (2021-2022)
#
# This file is part of GWpy.
#
# GWpy is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your opt... | gwpyREPO_NAMEgwpyPATH_START.@gwpy_extracted@gwpy-main@gwpy@timeseries@tests@test_io_losc.py@.PATH_END.py |
{
"filename": "sunos.py",
"repo_name": "rat-pac/rat-pac",
"repo_path": "rat-pac_extracted/rat-pac-master/python/SCons/Platform/sunos.py",
"type": "Python"
} | """engine.SCons.Platform.sunos
Platform-specific initialization for Sun systems.
There normally shouldn't be any need to import this module directly. It
will usually be imported through the generic SCons.Platform.Platform()
selection method.
"""
#
# Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009... | rat-pacREPO_NAMErat-pacPATH_START.@rat-pac_extracted@rat-pac-master@python@SCons@Platform@sunos.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/histogram/selected/_marker.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class MarkerValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name="marker", parent_name="histogram.selected", **kwargs
):
super(MarkerValidator, self).__init__(
plotly_name=plotly_name,
parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@histogram@selected@_marker.py@.PATH_END.py |
{
"filename": "testnotebooks.ipynb",
"repo_name": "astro-datalab/notebooks-latest",
"repo_path": "notebooks-latest_extracted/notebooks-latest-master/tests/testnotebooks.ipynb",
"type": "Jupyter Notebook"
} | ```python
__author__ = 'Robert Nikutta <robert.nikutta@noirlab.edu>, Data Lab Team <datalab@noirlab.edu>'
__version__ = '20240920'
```
# Automatic notebook testing
### Run the cells in this notebook in order.
Note: if you wish to run any Python code as the first cell of any tested notebooks, please edit the file `pre... | astro-datalabREPO_NAMEnotebooks-latestPATH_START.@notebooks-latest_extracted@notebooks-latest-master@tests@testnotebooks.ipynb@.PATH_END.py |
{
"filename": "pyssht_demo_5.py",
"repo_name": "astro-informatics/ssht",
"repo_path": "ssht_extracted/ssht-main/src/pyssht/pyssht_demo_5.py",
"type": "Python"
} | import numpy as np
import pyssht as ssht
import matplotlib.pyplot as plt
from pylab import cm
import scipy.io as sio
import os
# % pyssht_demo_5 - Run demo5
# %
# % Smooth Earth topography map by applying a Gaussian filter in harmonic
# % space.
# %
# % The official Earth Gravitational Model EGM2008 has been publicly
... | astro-informaticsREPO_NAMEsshtPATH_START.@ssht_extracted@ssht-main@src@pyssht@pyssht_demo_5.py@.PATH_END.py |
{
"filename": "libs.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/utilities/libs.py",
"type": "Python"
} | """
Displays location of source files, one line of documentation and the function name based on the request
"""
import importlib
import inspect
import itertools
import pkgutil
import sys
import io
from fnmatch import fnmatchcase
import pytplot
import pyspedas
import functools
def libs(function_name, package=None):
... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@utilities@libs.py@.PATH_END.py |
{
"filename": "_tickformatstop.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/densitymap/colorbar/_tickformatstop.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickformatstop(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "densitymap.colorbar"
_path_str = "densitymap.colorbar.tickformatstop"
_valid_props =... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@densitymap@colorbar@_tickformatstop.py@.PATH_END.py |
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