metadata dict | text stringlengths 0 40.6M | id stringlengths 14 255 |
|---|---|---|
{
"filename": "attribute.py",
"repo_name": "rhayes777/PyAutoFit",
"repo_path": "PyAutoFit_extracted/PyAutoFit-main/autofit/database/query/query/attribute.py",
"type": "Python"
} | from autofit.database.query import condition as c
from .abstract import AbstractQuery
class AttributeQuery(AbstractQuery):
@property
def fit_query(self) -> str:
"""
The SQL string produced by this query. This is applied directly to the database.
"""
return f"SELECT id FROM fit... | rhayes777REPO_NAMEPyAutoFitPATH_START.@PyAutoFit_extracted@PyAutoFit-main@autofit@database@query@query@attribute.py@.PATH_END.py |
{
"filename": "_real.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/_real.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RealValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="real", parent_name="scattersmith", **kwargs):
super(RealValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@_real.py@.PATH_END.py |
{
"filename": "_showticksuffix.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattersmith/marker/colorbar/_showticksuffix.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ShowticksuffixValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self,
plotly_name="showticksuffix",
parent_name="scattersmith.marker.colorbar",
**kwargs,
):
super(ShowticksuffixValidator, self).__init__(... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattersmith@marker@colorbar@_showticksuffix.py@.PATH_END.py |
{
"filename": "rodata2asm.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/build/scripts/rodata2asm.py",
"type": "Python"
} | import os
import argparse
def main():
parser = argparse.ArgumentParser(description='Convert rodata into asm source with embedded file content')
parser.add_argument('symbol', help='symvol name exported from generated filr')
parser.add_argument('rodata', help='input .rodata file path')
parser.add_argume... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@build@scripts@rodata2asm.py@.PATH_END.py |
{
"filename": "core.py",
"repo_name": "aburgasser/splat",
"repo_path": "splat_extracted/splat-main/splat/core.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from __future__ import print_function
# imports - internal
import copy
import bz2
import glob
import gzip
import os
import shutil
import sys
import warnings
# imports - external
import matplotlib
#try: matplotlib.use('agg')
#except: pass
import matplotlib.pyplot as plt
import numpy
import pand... | aburgasserREPO_NAMEsplatPATH_START.@splat_extracted@splat-main@splat@core.py@.PATH_END.py |
{
"filename": "feature_request.md",
"repo_name": "HERA-Team/matvis",
"repo_path": "matvis_extracted/matvis-main/.github/ISSUE_TEMPLATE/feature_request.md",
"type": "Markdown"
} | ---
name: Feature request
about: Suggest an idea for this project
title: "[Feature Req]"
labels: 'Type: feature'
assignees: steven-murray
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the ... | HERA-TeamREPO_NAMEmatvisPATH_START.@matvis_extracted@matvis-main@.github@ISSUE_TEMPLATE@feature_request.md@.PATH_END.py |
{
"filename": "time_domain.py",
"repo_name": "miguelzuma/GLoW_public",
"repo_path": "GLoW_public_extracted/GLoW_public-main/time_domain.py",
"type": "Python"
} | #
# GLoW - time_domain.py
#
# Copyright (C) 2023, Hector Villarrubia-Rojo
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3 of the License, or (at
# your option) any later versi... | miguelzumaREPO_NAMEGLoW_publicPATH_START.@GLoW_public_extracted@GLoW_public-main@time_domain.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "crossbario/crossbar",
"repo_path": "crossbar_extracted/crossbar-master/crossbar/master/api/__init__.py",
"type": "Python"
} | ###############################################################################
#
# Crossbar.io Master
# Copyright (c) typedef int GmbH. Licensed under EUPLv1.2.
#
###############################################################################
from typing import List, Union # noqa
from crossbar.master.api.remote imp... | crossbarioREPO_NAMEcrossbarPATH_START.@crossbar_extracted@crossbar-master@crossbar@master@api@__init__.py@.PATH_END.py |
{
"filename": "aleph_alpha.py",
"repo_name": "langchain-ai/langchain",
"repo_path": "langchain_extracted/langchain-master/libs/langchain/langchain/embeddings/aleph_alpha.py",
"type": "Python"
} | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.embeddings import (
AlephAlphaAsymmetricSemanticEmbedding,
AlephAlphaSymmetricSemanticEmbedding,
)
# Create a way to dynamically look up deprecated imports.
# Used to co... | langchain-aiREPO_NAMElangchainPATH_START.@langchain_extracted@langchain-master@libs@langchain@langchain@embeddings@aleph_alpha.py@.PATH_END.py |
{
"filename": "data_inspect_2458058.ipynb",
"repo_name": "HERA-Team/H1C_IDR3_Notebooks",
"repo_path": "H1C_IDR3_Notebooks-main/data_inspect/data_inspect_2458058.ipynb",
"type": "Jupyter Notebook"
} | ```python
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter
import matplotlib.patches as mpatches
import matplotlib.gridspec as gridspec
import numpy as np
from pyuvdata import UVCal, UVData
import os
import sys
import glob
import uvtools as uvt
from astropy.time import ... | HERA-TeamREPO_NAMEH1C_IDR3_NotebooksPATH_START.@H1C_IDR3_Notebooks-main@data_inspect@data_inspect_2458058.ipynb@.PATH_END.py |
{
"filename": "st_trace.py",
"repo_name": "simonsobs/nextline-rdb",
"repo_path": "nextline-rdb_extracted/nextline-rdb-main/src/nextline_rdb/alembic/models/rev_4dc6a93dfed8/strategies/st_trace.py",
"type": "Python"
} | from collections.abc import Iterable
from typing import Callable, Optional, cast
from hypothesis import strategies as st
from nextline_test_utils.strategies import st_graphql_ints, st_none_or
from .. import Run, Trace
from .st_run import st_model_run
from .utils import st_started_at_ended_at
@st.composite
def st_m... | simonsobsREPO_NAMEnextline-rdbPATH_START.@nextline-rdb_extracted@nextline-rdb-main@src@nextline_rdb@alembic@models@rev_4dc6a93dfed8@strategies@st_trace.py@.PATH_END.py |
{
"filename": "sexcatalog.py",
"repo_name": "spacetelescope/stsdas_stripped",
"repo_path": "stsdas_stripped_extracted/stsdas_stripped-master/stsdas/python/sexcatalog.py",
"type": "Python"
} | # ======================================================================
#
# Cosmograil: cosmograil.tools.sexcatalog
#
# sexcatalog module.
#
# Author: Laurent Le Guillou <laurentl@ster.kuleuven.ac.be>
#
# $Id: sexcatalog.py,v 1.1 2005/06/29 13:07:41 hack Exp $
#
# ======================================================... | spacetelescopeREPO_NAMEstsdas_strippedPATH_START.@stsdas_stripped_extracted@stsdas_stripped-master@stsdas@python@sexcatalog.py@.PATH_END.py |
{
"filename": "simulation_utils.py",
"repo_name": "mackelab/sbi",
"repo_path": "sbi_extracted/sbi-main/sbi/utils/simulation_utils.py",
"type": "Python"
} | # This file is part of sbi, a toolkit for simulation-based inference. sbi is licensed
# under the Apache License Version 2.0, see <https://www.apache.org/licenses/>
from typing import Any, Callable, Optional, Tuple, Union
import numpy as np
import torch
from joblib import Parallel, delayed
from numpy import ndarray
f... | mackelabREPO_NAMEsbiPATH_START.@sbi_extracted@sbi-main@sbi@utils@simulation_utils.py@.PATH_END.py |
{
"filename": "test_photometry.py",
"repo_name": "lgrcia/prose",
"repo_path": "prose_extracted/prose-main/tests/test_photometry.py",
"type": "Python"
} | import numpy as np
from prose import Sequence, blocks, simulations
t = np.linspace(0, 1, 20)
true_y = np.sin(2 * np.pi * t / 0.5) + 1.0
np.random.seed(5)
fluxes = np.array([true_y, *[np.ones(len(t)) for _ in range(20)]])
_coords = np.random.rand(len(fluxes), 2)
shape = (100, 100)
coords = np.array([_coords * shape ... | lgrciaREPO_NAMEprosePATH_START.@prose_extracted@prose-main@tests@test_photometry.py@.PATH_END.py |
{
"filename": "node.py",
"repo_name": "HERA-Team/hera_mc",
"repo_path": "hera_mc_extracted/hera_mc-main/hera_mc/node.py",
"type": "Python"
} | # -*- mode: python; coding: utf-8 -*-
# Copyright 2018 the HERA Collaboration
# Licensed under the 2-clause BSD license.
"""Node M&C info from the node's Redis database."""
import numpy as np
from sqlalchemy import BigInteger, Boolean, Column, Float, Integer, String
from . import MCDeclarativeBase, cm_utils
# the a... | HERA-TeamREPO_NAMEhera_mcPATH_START.@hera_mc_extracted@hera_mc-main@hera_mc@node.py@.PATH_END.py |
{
"filename": "test_xs.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/frame/indexing/test_xs.py",
"type": "Python"
} | import re
import numpy as np
import pytest
from pandas import (
DataFrame,
Index,
IndexSlice,
MultiIndex,
Series,
concat,
)
import pandas._testing as tm
from pandas.tseries.offsets import BDay
@pytest.fixture
def four_level_index_dataframe():
arr = np.array(
[
[-0.51... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@frame@indexing@test_xs.py@.PATH_END.py |
{
"filename": "_hovertemplate.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/mesh3d/_hovertemplate.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertemplateValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(self, plotly_name="hovertemplate", parent_name="mesh3d", **kwargs):
super(HovertemplateValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@mesh3d@_hovertemplate.py@.PATH_END.py |
{
"filename": "fit_metrics.py",
"repo_name": "ebachelet/pyLIMA",
"repo_path": "pyLIMA_extracted/pyLIMA-master/pyLIMA/fits/fit_metrics.py",
"type": "Python"
} | import numpy as np
from emcee import autocorr
def Gelman_Rubin(chain):
W = np.mean(np.var(chain, axis=0), axis=0)
theta_B = np.mean(chain, axis=0)
theta_BB = np.mean(theta_B, axis=0)
B = chain.shape[0] / (chain.shape[1] - 1) * np.sum((theta_B - theta_BB) ** 2,
... | ebacheletREPO_NAMEpyLIMAPATH_START.@pyLIMA_extracted@pyLIMA-master@pyLIMA@fits@fit_metrics.py@.PATH_END.py |
{
"filename": "test_HabEvapCore.py",
"repo_name": "VirtualPlanetaryLaboratory/vplanet",
"repo_path": "vplanet_extracted/vplanet-main/tests/AtmescStellar/HabEvapCore/test_HabEvapCore.py",
"type": "Python"
} | from benchmark import Benchmark, benchmark
import astropy.units as u
@benchmark(
{
"log.initial.system.Age": {"value": 0.000000, "unit": u.sec},
"log.initial.system.Time": {"value": 0.000000, "unit": u.sec},
"log.initial.system.TotAngMom": {"value": 2.238488e+42, "unit": (u.kg * u.m ** 2... | VirtualPlanetaryLaboratoryREPO_NAMEvplanetPATH_START.@vplanet_extracted@vplanet-main@tests@AtmescStellar@HabEvapCore@test_HabEvapCore.py@.PATH_END.py |
{
"filename": "testTools.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/fonttools/fontTools/misc/testTools.py",
"type": "Python"
} | """Helpers for writing unit tests."""
from collections.abc import Iterable
from io import BytesIO
import os
import re
import shutil
import sys
import tempfile
from unittest import TestCase as _TestCase
from fontTools.config import Config
from fontTools.misc.textTools import tobytes
from fontTools.misc.xmlWriter import... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@fonttools@fontTools@misc@testTools.py@.PATH_END.py |
{
"filename": "prompt.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/prompt-toolkit/py3/prompt_toolkit/shortcuts/prompt.py",
"type": "Python"
} | """
Line editing functionality.
---------------------------
This provides a UI for a line input, similar to GNU Readline, libedit and
linenoise.
Either call the `prompt` function for every line input. Or create an instance
of the :class:`.PromptSession` class and call the `prompt` method from that
class. In the secon... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@prompt-toolkit@py3@prompt_toolkit@shortcuts@prompt.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "gabrieledemasi/skyfast",
"repo_path": "skyfast_extracted/skyfast-main/setup.py",
"type": "Python"
} | from setuptools import setup, find_packages
from setuptools import Extension
from setuptools.command.build_ext import build_ext as _build_ext
from codecs import open
from pathlib import Path
from distutils.extension import Extension
import os
import warnings
with open("requirements.txt") as requires_file:
requ... | gabrieledemasiREPO_NAMEskyfastPATH_START.@skyfast_extracted@skyfast-main@setup.py@.PATH_END.py |
{
"filename": "_base.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/bar/_base.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class BaseValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="base", parent_name="bar", **kwargs):
super(BaseValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
array_ok=kwarg... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@bar@_base.py@.PATH_END.py |
{
"filename": "_style.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/violin/legendgrouptitle/font/_style.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StyleValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="style", parent_name="violin.legendgrouptitle.font", **kwargs
):
super(StyleValidator, self).__init__(
plotly_name=plotly_name,
pa... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@violin@legendgrouptitle@font@_style.py@.PATH_END.py |
{
"filename": "_hovertextsrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/contourcarpet/_hovertextsrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HovertextsrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(
self, plotly_name="hovertextsrc", parent_name="contourcarpet", **kwargs
):
super(HovertextsrcValidator, self).__init__(
plotly_name=plotly_name,
par... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@contourcarpet@_hovertextsrc.py@.PATH_END.py |
{
"filename": "EXEC.py",
"repo_name": "COINtoolbox/DRACULA",
"repo_path": "DRACULA_extracted/DRACULA-master/CODE/Drac/EXEC.py",
"type": "Python"
} | from __future__ import print_function
import numpy as np
import os
import sys
sys.path.append(os.path.abspath(''))
from main_funcs import *
CONFIG=set_prop()
def reduc() : reducC (CONFIG)
def cluster() : clusterC (CONFIG)
def do_quality(): do_qualityC (CONFIG)
def plot() : plotC (CONFIG)
def plot_spec() : plot... | COINtoolboxREPO_NAMEDRACULAPATH_START.@DRACULA_extracted@DRACULA-master@CODE@Drac@EXEC.py@.PATH_END.py |
{
"filename": "petroff10.py",
"repo_name": "matplotlib/matplotlib",
"repo_path": "matplotlib_extracted/matplotlib-main/galleries/examples/style_sheets/petroff10.py",
"type": "Python"
} | """
=====================
Petroff10 style sheet
=====================
This example demonstrates the "petroff10" style, which implements the 10-color
sequence developed by Matthew A. Petroff [1]_ for accessible data visualization.
The style balances aesthetics with accessibility considerations, making it
suitable for v... | matplotlibREPO_NAMEmatplotlibPATH_START.@matplotlib_extracted@matplotlib-main@galleries@examples@style_sheets@petroff10.py@.PATH_END.py |
{
"filename": "interface.py",
"repo_name": "amusecode/amuse",
"repo_path": "amuse_extracted/amuse-main/src/amuse/community/distributed/interface.py",
"type": "Python"
} | import logging
from amuse.community import *
from amuse.community.interface.common import CommonCodeInterface
from amuse.community.interface.common import CommonCode
from amuse.support import options
from amuse.rfi.channel import DistributedChannel
from distributed_datamodel import Resources, Resource
from distribut... | amusecodeREPO_NAMEamusePATH_START.@amuse_extracted@amuse-main@src@amuse@community@distributed@interface.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/contour/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="contour", **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@contour@_stream.py@.PATH_END.py |
{
"filename": "update_results.py",
"repo_name": "nanograv/pint_pal",
"repo_path": "pint_pal_extracted/pint_pal-main/src/pint_pal/update_results.py",
"type": "Python"
} | """
This module provides tools for automatically updating results (yamls/pars)
based on output from autoruns on Thorny Flats (or potentially elsewhere).
"""
from pint_pal.yamlio import *
from pint_pal.timingconfiguration import TimingConfiguration
from astropy import log
from datetime import datetime
import subprocess... | nanogravREPO_NAMEpint_palPATH_START.@pint_pal_extracted@pint_pal-main@src@pint_pal@update_results.py@.PATH_END.py |
{
"filename": "disc_launch.py",
"repo_name": "FabioRigamonti/pyADfit",
"repo_path": "pyADfit_extracted/pyADfit-main/disc_launch.py",
"type": "Python"
} | import numpy as np
import yaml
import pandas as pd
from disc_fit import analysis,calling_all
import os
import matplotlib.pyplot as plt
def read_data(input_path):
"""
Reads in data from a text file. USER DEFINED.
Parameters
----------
input_path : str
Path to the input file.
Returns
... | FabioRigamontiREPO_NAMEpyADfitPATH_START.@pyADfit_extracted@pyADfit-main@disc_launch.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "rodluger/starry_process",
"repo_path": "starry_process_extracted/starry_process-master/starry_process/ops/wigner/__init__.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
from .Rx import RxOp
from .Ry import RyOp
from .tensordotRz import tensordotRzOp
from .special_tensordotRz import special_tensordotRzOp
| rodlugerREPO_NAMEstarry_processPATH_START.@starry_process_extracted@starry_process-master@starry_process@ops@wigner@__init__.py@.PATH_END.py |
{
"filename": "_marker.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/waterfall/decreasing/_marker.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Marker(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "waterfall.decreasing"
_path_str = "waterfall.decreasing.marker"
_valid_props = {"color", "li... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@waterfall@decreasing@_marker.py@.PATH_END.py |
{
"filename": "_range.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/xaxis/rangeslider/_range.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class RangeValidator(_plotly_utils.basevalidators.InfoArrayValidator):
def __init__(
self, plotly_name="range", parent_name="layout.xaxis.rangeslider", **kwargs
):
super(RangeValidator, self).__init__(
plotly_name=plotly_name,
parent_... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@xaxis@rangeslider@_range.py@.PATH_END.py |
{
"filename": "random_contrast_test.py",
"repo_name": "keras-team/keras",
"repo_path": "keras_extracted/keras-master/keras/src/layers/preprocessing/image_preprocessing/random_contrast_test.py",
"type": "Python"
} | import numpy as np
import pytest
from tensorflow import data as tf_data
from keras.src import backend
from keras.src import layers
from keras.src import testing
class RandomContrastTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_layer(self):
self.run_layer_test(
l... | keras-teamREPO_NAMEkerasPATH_START.@keras_extracted@keras-master@keras@src@layers@preprocessing@image_preprocessing@random_contrast_test.py@.PATH_END.py |
{
"filename": "Emax_vs_sfr.ipynb",
"repo_name": "FRBs/zdm",
"repo_path": "zdm_extracted/zdm-main/papers/H0_I/Figures/Emax_vs_sfr.ipynb",
"type": "Jupyter Notebook"
} | # Emax vs sfr_n
```python
# imports
from importlib import reload
import numpy as np
from matplotlib import pyplot as plt
from zdm.craco import loading
from zdm import iteration as it
from zdm import io
import figs_zdm_H0_I
```
# Load
```python
cube_out = np.load('../Analysis/Cubes/craco_sfr_Emax_cube.npz')
#cu... | FRBsREPO_NAMEzdmPATH_START.@zdm_extracted@zdm-main@papers@H0_I@Figures@Emax_vs_sfr.ipynb@.PATH_END.py |
{
"filename": "NormalizationOptionsStartMeanVector.md",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/g3doc/api_docs/python/tflite_support/metadata_schema_py_generated/NormalizationOptionsStartMeanVector.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.NormalizationOptionsStartMeanVector" />... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@g3doc@api_docs@python@tflite_support@metadata_schema_py_generated@NormalizationOptionsStartMeanVector.md@.PATH_END.py |
{
"filename": "_tiling.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/_tiling.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TilingValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="tiling", parent_name="icicle", **kwargs):
super(TilingValidator, 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.py@.PATH_END.py |
{
"filename": "calc_cl.py",
"repo_name": "NoahSailer/MaPar",
"repo_path": "MaPar_extracted/MaPar-main/spectra/calc_cl.py",
"type": "Python"
} | # A wrapper around NaMaster
# Neatly stores all spectra and covariances in a .json format
import numpy as np
import healpy as hp
import pymaster as nmt
import sys
import json
from os.path import exists
readme = "cl_X_Y is the pseudo Cell C^{XY}. wl_X_Y is the window function for C^{XY}. "
readme+= "cij is a (nma... | NoahSailerREPO_NAMEMaParPATH_START.@MaPar_extracted@MaPar-main@spectra@calc_cl.py@.PATH_END.py |
{
"filename": "data.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/scipy/sparse/data.py",
"type": "Python"
} | """Base class for sparse matrice with a .data attribute
subclasses must provide a _with_data() method that
creates a new matrix with the same sparsity pattern
as self but with a different data array
"""
from __future__ import division, print_function, absolute_import
import numpy as np
from .base impor... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@scipy@sparse@data.py@.PATH_END.py |
{
"filename": "test_inference.py",
"repo_name": "probabilists/lampe",
"repo_path": "lampe_extracted/lampe-master/tests/test_inference.py",
"type": "Python"
} | r"""Tests for the lampe.inference module."""
import torch
from lampe.inference import *
from lampe.masks import BernoulliMask
from torch import randn
def test_NRE():
estimator = NRE(3, 5)
# Non-batched
theta, x = randn(3), randn(5)
log_r = estimator(theta, x)
assert log_r.shape == ()
asser... | probabilistsREPO_NAMElampePATH_START.@lampe_extracted@lampe-master@tests@test_inference.py@.PATH_END.py |
{
"filename": "fisher_matrix.py",
"repo_name": "CosmicFish/CosmicFish",
"repo_path": "CosmicFish_extracted/CosmicFish-master/python/cosmicfish_pylib/fisher_matrix.py",
"type": "Python"
} | #----------------------------------------------------------------------------------------
#
# This file is part of CosmicFish.
#
# Copyright (C) 2015-2017 by the CosmicFish authors
#
# The CosmicFish code is free software;
# You can use it, redistribute it, and/or modify it under the terms
# of the GNU General Public L... | CosmicFishREPO_NAMECosmicFishPATH_START.@CosmicFish_extracted@CosmicFish-master@python@cosmicfish_pylib@fisher_matrix.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/choroplethmapbox/legendgrouptitle/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... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@choroplethmapbox@legendgrouptitle@font@__init__.py@.PATH_END.py |
{
"filename": "_lineposition.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/icicle/marker/colorbar/tickfont/_lineposition.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LinepositionValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(
self,
plotly_name="lineposition",
parent_name="icicle.marker.colorbar.tickfont",
**kwargs,
):
super(LinepositionValidator, self).__init__(
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@icicle@marker@colorbar@tickfont@_lineposition.py@.PATH_END.py |
{
"filename": "test_pure_python_isolation.py",
"repo_name": "astropy/halotools",
"repo_path": "halotools_extracted/halotools-master/halotools/mock_observables/isolation_functions/tests/test_pure_python_isolation.py",
"type": "Python"
} | """ Module providing testing for the brute force isolation functions
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from astropy.utils.misc import NumpyRNGContext
from .pure_python_isolation import naive_spherical_isolation
from ...tests.cf_helpers import ge... | astropyREPO_NAMEhalotoolsPATH_START.@halotools_extracted@halotools-master@halotools@mock_observables@isolation_functions@tests@test_pure_python_isolation.py@.PATH_END.py |
{
"filename": "mepi_nml.py",
"repo_name": "spedas/pyspedas",
"repo_path": "pyspedas_extracted/pyspedas-master/pyspedas/projects/erg/satellite/erg/mepi/mepi_nml.py",
"type": "Python"
} | from pytplot import options, ylim, get_data
from ..load import load
from ..get_gatt_ror import get_gatt_ror
from typing import List, Optional
def mepi_nml(
trange: List[str] = ['2017-03-27', '2017-03-28'],
datatype: str = 'omniflux',
level: str = 'l2',
suffix: str = '',
get_support_data: bool = ... | spedasREPO_NAMEpyspedasPATH_START.@pyspedas_extracted@pyspedas-master@pyspedas@projects@erg@satellite@erg@mepi@mepi_nml.py@.PATH_END.py |
{
"filename": "unet.py",
"repo_name": "felixyu7/nt_mlreco",
"repo_path": "nt_mlreco_extracted/nt_mlreco-main/networks/common/unet.py",
"type": "Python"
} | import torch.nn as nn
import torch
import MinkowskiEngine as ME
from networks.common.resnet_block import ResNetBlock
class UNet(ME.MinkowskiNetwork):
def __init__(self,
in_features=2,
reps=2,
depth=8,
first_num_filters=16,
str... | felixyu7REPO_NAMEnt_mlrecoPATH_START.@nt_mlreco_extracted@nt_mlreco-main@networks@common@unet.py@.PATH_END.py |
{
"filename": "_yclick.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/layout/annotation/_yclick.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class YclickValidator(_plotly_utils.basevalidators.AnyValidator):
def __init__(self, plotly_name="yclick", parent_name="layout.annotation", **kwargs):
super(YclickValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@layout@annotation@_yclick.py@.PATH_END.py |
{
"filename": "specifiers.py",
"repo_name": "davidharvey1986/pyRRG",
"repo_path": "pyRRG_extracted/pyRRG-master/unittests/bugFixPyRRG/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py",
"type": "Python"
} | # This file is dual licensed under the terms of the Apache License, Version
# 2.0, and the BSD License. See the LICENSE file in the root of this repository
# for complete details.
from __future__ import absolute_import, division, print_function
import abc
import functools
import itertools
import re
from ._compat impo... | davidharvey1986REPO_NAMEpyRRGPATH_START.@pyRRG_extracted@pyRRG-master@unittests@bugFixPyRRG@lib@python3.7@site-packages@pkg_resources@_vendor@packaging@specifiers.py@.PATH_END.py |
{
"filename": "setup.py",
"repo_name": "wdpozzo/raynest",
"repo_path": "raynest_extracted/raynest-main/setup.py",
"type": "Python"
} | import os
import platform
import numpy
from setuptools import setup, Extension, find_packages
from Cython.Build import cythonize
WINDOWS = platform.system().lower() == "windows"
# set extension
libraries = [] if WINDOWS else ["m"]
ext_modules = [Extension("raynest.parameter",
sources=[os.path... | wdpozzoREPO_NAMEraynestPATH_START.@raynest_extracted@raynest-main@setup.py@.PATH_END.py |
{
"filename": "dr7.py",
"repo_name": "dstndstn/astrometry.net",
"repo_path": "astrometry.net_extracted/astrometry.net-main/sdss/dr7.py",
"type": "Python"
} | # This file is part of the Astrometry.net suite.
# Licensed under a 3-clause BSD style license - see LICENSE
import os
from .common import *
from astrometry.util.miscutils import *
from astrometry.util.fits import *
class DR7(SdssDR):
def __init__(self, **kwargs):
'''
kwargs:
(ba... | dstndstnREPO_NAMEastrometry.netPATH_START.@astrometry.net_extracted@astrometry.net-main@sdss@dr7.py@.PATH_END.py |
{
"filename": "incdir.py",
"repo_name": "kapteyn-astro/kapteyn",
"repo_path": "kapteyn_extracted/kapteyn-master/src/incdir.py",
"type": "Python"
} | from distutils.sysconfig import get_python_inc
import numpy
pi = get_python_inc()
ni = numpy.get_include()
print "-I%s -I%s -I%s/numpy" % (pi, ni, ni)
| kapteyn-astroREPO_NAMEkapteynPATH_START.@kapteyn_extracted@kapteyn-master@src@incdir.py@.PATH_END.py |
{
"filename": "MpiRun.py",
"repo_name": "jronayne/PyTransport",
"repo_path": "PyTransport_extracted/PyTransport-master/Examples/DoubleQuad/MpiRun.py",
"type": "Python"
} | import subprocess
subprocess.Popen(['mpiexec', '-n', '10', 'python', 'MpiEqBi.py'])
| jronayneREPO_NAMEPyTransportPATH_START.@PyTransport_extracted@PyTransport-master@Examples@DoubleQuad@MpiRun.py@.PATH_END.py |
{
"filename": "deconvolution.py",
"repo_name": "itseez/opencv",
"repo_path": "opencv_extracted/opencv-master/samples/python/deconvolution.py",
"type": "Python"
} | #!/usr/bin/env python
'''
Wiener deconvolution.
Sample shows how DFT can be used to perform Weiner deconvolution [1]
of an image with user-defined point spread function (PSF)
Usage:
deconvolution.py [--circle]
[--angle <degrees>]
[--d <diameter>]
[--snr <signal/noise ratio in db>]
[<input ... | itseezREPO_NAMEopencvPATH_START.@opencv_extracted@opencv-master@samples@python@deconvolution.py@.PATH_END.py |
{
"filename": "BoundaryAbstractMethods.py",
"repo_name": "LLNL/spheral",
"repo_path": "spheral_extracted/spheral-main/src/PYB11/Boundary/BoundaryAbstractMethods.py",
"type": "Python"
} | #-------------------------------------------------------------------------------
# Provide the abstact Boundary interface, suitable for injection to our actual
# classes.
#-------------------------------------------------------------------------------
from PYB11Generator import *
@PYB11ignore
class BoundaryAbstractMet... | LLNLREPO_NAMEspheralPATH_START.@spheral_extracted@spheral-main@src@PYB11@Boundary@BoundaryAbstractMethods.py@.PATH_END.py |
{
"filename": "version.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/jupyter-core/py3/jupyter_core/version.py",
"type": "Python"
} | """
store the current version info of the jupyter_core.
"""
from __future__ import annotations
import re
# Version string must appear intact for hatch versioning
__version__ = "5.7.2"
# Build up version_info tuple for backwards compatibility
pattern = r"(?P<major>\d+).(?P<minor>\d+).(?P<patch>\d+)(?P<rest>.*)"
match... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@jupyter-core@py3@jupyter_core@version.py@.PATH_END.py |
{
"filename": "_hoverinfo.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/waterfall/_hoverinfo.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class HoverinfoValidator(_plotly_utils.basevalidators.FlaglistValidator):
def __init__(self, plotly_name="hoverinfo", parent_name="waterfall", **kwargs):
super(HoverinfoValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@waterfall@_hoverinfo.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "tanner-trickle/EXCEED-DM",
"repo_path": "EXCEED-DM_extracted/EXCEED-DM-main/docs/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | tanner-trickleREPO_NAMEEXCEED-DMPATH_START.@EXCEED-DM_extracted@EXCEED-DM-main@docs@conf.py@.PATH_END.py |
{
"filename": "apod.py",
"repo_name": "abeelen/powspec",
"repo_path": "powspec_extracted/powspec-master/powspec/utils/apod.py",
"type": "Python"
} | import numpy as np
from scipy import signal
from astropy.convolution import CustomKernel, convolve_fft
__all__ = ["shrink_mask", "fft_2d_hanning"]
def shrink_mask(mask, kernel):
"""Shrink mask wrt to a kernel
Parameters
----------
mask : 2D boolean array_like
the mask to be shrinked by...
... | abeelenREPO_NAMEpowspecPATH_START.@powspec_extracted@powspec-master@powspec@utils@apod.py@.PATH_END.py |
{
"filename": "test_knockoff.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/stats/tests/test_knockoff.py",
"type": "Python"
} | import numpy as np
from numpy.testing import assert_allclose, assert_array_equal, assert_equal
import pytest
import statsmodels.api as sm
from statsmodels.stats import knockoff_regeffects as kr
from statsmodels.stats._knockoff import (RegressionFDR,
_design_knockoff_equi,
... | statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@stats@tests@test_knockoff.py@.PATH_END.py |
{
"filename": "best-model-short-desc.md",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/catboost/docs/en/_includes/work_src/reusage/best-model-short-desc.md",
"type": "Markdown"
} |
If this parameter is set, the number of trees that are saved in the resulting model is defined as follows:
1. Build the number of trees defined by the training parameters.
1. Use the validation dataset to identify the iteration with the optimal value of the metric specified in `--eval-metric` (`--eval-metric`).
| catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@catboost@docs@en@_includes@work_src@reusage@best-model-short-desc.md@.PATH_END.py |
{
"filename": "zscale.py",
"repo_name": "jfoster17/extinction-distances",
"repo_path": "extinction-distances_extracted/extinction-distances-master/extinction_distance/support/zscale.py",
"type": "Python"
} | """
This comes from numdisplay
"""
import math
import numpy
MAX_REJECT = 0.5
MIN_NPIXELS = 5
GOOD_PIXEL = 0
BAD_PIXEL = 1
KREJ = 2.5
MAX_ITERATIONS = 5
def zscale (image, nsamples=1000, contrast=0.25, bpmask=None, zmask=None):
"""Implement IRAF zscale algorithm
nsamples=1000 and contrast=0.25 are the IRAF d... | jfoster17REPO_NAMEextinction-distancesPATH_START.@extinction-distances_extracted@extinction-distances-master@extinction_distance@support@zscale.py@.PATH_END.py |
{
"filename": "pk_interp.py",
"repo_name": "smsharma/dark-photons-perturbations",
"repo_path": "dark-photons-perturbations_extracted/dark-photons-perturbations-master/grf/pk_interp.py",
"type": "Python"
} | import numpy as np
from scipy.interpolate import RegularGridInterpolator
class PowerSpectrumGridInterpolator():
def __init__(self, ps_type='nonlin_matter', file_name=None, k_max=1e7):
file_name = "../data/log_pk_grids/log_pk_" + ps_type + "_grid_ary.npz"
if file_name is not None:
fil... | smsharmaREPO_NAMEdark-photons-perturbationsPATH_START.@dark-photons-perturbations_extracted@dark-photons-perturbations-master@grf@pk_interp.py@.PATH_END.py |
{
"filename": "Dirichlet_Op.py",
"repo_name": "hmuellergoe/mrbeam",
"repo_path": "mrbeam_extracted/mrbeam-main/mr_beam/itreg/regpy/operators/obstacle2d/Dirichlet_Op.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 14 20:12:14 2019
@author: Björn Müller
"""
# from regpy.operators.obstacle2d.Curves.StarTrig import StarTrig
from .functions.operator import op_S
from .functions.operator import op_T
from .functions.operator import op_K
from .functions.farfieldmatrix import farfield_matri... | hmuellergoeREPO_NAMEmrbeamPATH_START.@mrbeam_extracted@mrbeam-main@mr_beam@itreg@regpy@operators@obstacle2d@Dirichlet_Op.py@.PATH_END.py |
{
"filename": "_sizesrc.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scatter/textfont/_sizesrc.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SizesrcValidator(_plotly_utils.basevalidators.SrcValidator):
def __init__(self, plotly_name="sizesrc", parent_name="scatter.textfont", **kwargs):
super(SizesrcValidator, 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@scatter@textfont@_sizesrc.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "mikekatz04/LISAanalysistools",
"repo_path": "LISAanalysistools_extracted/LISAanalysistools-main/README.md",
"type": "Markdown"
} | # LISA Analysis Tools
[](https://mikekatz04.github.io/LISAanalysistools)
[](https://doi.org/10.5281/zenodo.10930980)
LISA Analysis Tools is a package for performing LISA Data Analysis task... | mikekatz04REPO_NAMELISAanalysistoolsPATH_START.@LISAanalysistools_extracted@LISAanalysistools-main@README.md@.PATH_END.py |
{
"filename": "_side.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/parcoords/line/colorbar/title/_side.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class SideValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="side", parent_name="parcoords.line.colorbar.title", **kwargs
):
super(SideValidator, self).__init__(
plotly_name=plotly_name,
pare... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@parcoords@line@colorbar@title@_side.py@.PATH_END.py |
{
"filename": "test_evaluate.py",
"repo_name": "pyro-ppl/pyro",
"repo_path": "pyro_extracted/pyro-master/tests/contrib/forecast/test_evaluate.py",
"type": "Python"
} | # Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import math
import pytest
import torch
import pyro
import pyro.distributions as dist
from pyro.contrib.forecast import Forecaster, ForecastingModel, HMCForecaster, backtest
from pyro.contrib.forecast.evaluate import DEFAULT_METRICS
f... | pyro-pplREPO_NAMEpyroPATH_START.@pyro_extracted@pyro-master@tests@contrib@forecast@test_evaluate.py@.PATH_END.py |
{
"filename": "conf.py",
"repo_name": "fkeruzore/panco2",
"repo_path": "panco2_extracted/panco2-main/docs/source/conf.py",
"type": "Python"
} | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | fkeruzoreREPO_NAMEpanco2PATH_START.@panco2_extracted@panco2-main@docs@source@conf.py@.PATH_END.py |
{
"filename": "contour_plot.py",
"repo_name": "miguelzuma/GLoW_public",
"repo_path": "GLoW_public_extracted/GLoW_public-main/scripts/glow_paper/contour_plot.py",
"type": "Python"
} | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.colors as colors
import matplotlib.patches as patches
from matplotlib.lines import Line2D
from matplotlib.patches import Circle
from mpl_toolkits.axes_grid1 import make_axes_locatable
from glow import lenses, time_domain_c, freq_dom... | miguelzumaREPO_NAMEGLoW_publicPATH_START.@GLoW_public_extracted@GLoW_public-main@scripts@glow_paper@contour_plot.py@.PATH_END.py |
{
"filename": "_tickfont.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/scatterternary/marker/colorbar/_tickfont.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickfont(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "scatterternary.marker.colorbar"
_path_str = "scatterternary.marker.colorbar.tickfont"
_val... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@scatterternary@marker@colorbar@_tickfont.py@.PATH_END.py |
{
"filename": "test_deprecation.py",
"repo_name": "scikit-learn/scikit-learn",
"repo_path": "scikit-learn_extracted/scikit-learn-main/sklearn/utils/tests/test_deprecation.py",
"type": "Python"
} | # Authors: The scikit-learn developers
# SPDX-License-Identifier: BSD-3-Clause
import pickle
from inspect import signature
import pytest
from sklearn.utils.deprecation import _is_deprecated, deprecated
@deprecated("qwerty")
class MockClass1:
pass
class MockClass2:
@deprecated("mockclass2_method")
de... | scikit-learnREPO_NAMEscikit-learnPATH_START.@scikit-learn_extracted@scikit-learn-main@sklearn@utils@tests@test_deprecation.py@.PATH_END.py |
{
"filename": "pred21cm.ipynb",
"repo_name": "micbia/serenet",
"repo_path": "serenet_extracted/serenet-main/depr/pred21cm.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np, matplotlib.pyplot as plt, os
import tools21cm as t2c
import random, zipfile
from tqdm import tqdm
import matplotlib.gridspec as gridspec
from itertools import permutations
from datetime import datetime
```
2021-11-19 09:41:44.842696: W tensorflow/stream_executor/platform/default/dso... | micbiaREPO_NAMEserenetPATH_START.@serenet_extracted@serenet-main@depr@pred21cm.ipynb@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattermap/_stream.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class StreamValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="stream", parent_name="scattermap", **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@scattermap@_stream.py@.PATH_END.py |
{
"filename": "test_constraints.py",
"repo_name": "astropy/astropy",
"repo_path": "astropy_extracted/astropy-main/astropy/modeling/tests/test_constraints.py",
"type": "Python"
} | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# pylint: disable=invalid-name
import platform
import types
import warnings
from contextlib import nullcontext
import numpy as np
import pytest
from numpy.random import default_rng
from numpy.testing import assert_allclose
from astropy.modeling import f... | astropyREPO_NAMEastropyPATH_START.@astropy_extracted@astropy-main@astropy@modeling@tests@test_constraints.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "ratt-ru/QuartiCal",
"repo_path": "QuartiCal_extracted/QuartiCal-main/README.md",
"type": "Markdown"
} | # QuartiCal
QuartiCal is the successor to CubiCal. It implements a suite of fast radio interferometric calibration routines exploiting complex optimisation. Unlike CubiCal, QuartiCal allows for any available Jones terms to be combined. It can also be deployed on a cluster (documentation under construction).
## Instal... | ratt-ruREPO_NAMEQuartiCalPATH_START.@QuartiCal_extracted@QuartiCal-main@README.md@.PATH_END.py |
{
"filename": "_tickformat.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/validators/scattersmith/marker/colorbar/_tickformat.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TickformatValidator(_plotly_utils.basevalidators.StringValidator):
def __init__(
self,
plotly_name="tickformat",
parent_name="scattersmith.marker.colorbar",
**kwargs,
):
super(TickformatValidator, self).__init__(
plo... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@validators@scattersmith@marker@colorbar@_tickformat.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "spacetelescope/jdaviz",
"repo_path": "jdaviz_extracted/jdaviz-main/jdaviz/configs/__init__.py",
"type": "Python"
} | from .cubeviz import * # noqa
from .default import * # noqa
from .imviz import * # noqa
from .mosviz import * # noqa
from .rampviz import * # noqa
from .specviz import * # noqa
from .specviz2d import * # noqa
| spacetelescopeREPO_NAMEjdavizPATH_START.@jdaviz_extracted@jdaviz-main@jdaviz@configs@__init__.py@.PATH_END.py |
{
"filename": "_flatshading.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/mesh3d/_flatshading.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class FlatshadingValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(self, plotly_name="flatshading", parent_name="mesh3d", **kwargs):
super(FlatshadingValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@mesh3d@_flatshading.py@.PATH_END.py |
{
"filename": "test_sparse.py",
"repo_name": "pandas-dev/pandas",
"repo_path": "pandas_extracted/pandas-main/pandas/tests/extension/test_sparse.py",
"type": "Python"
} | """
This file contains a minimal set of tests for compliance with the extension
array interface test suite, and should contain no other tests.
The test suite for the full functionality of the array is located in
`pandas/tests/arrays/`.
The tests in this file are inherited from the BaseExtensionTests, and only
minimal ... | pandas-devREPO_NAMEpandasPATH_START.@pandas_extracted@pandas-main@pandas@tests@extension@test_sparse.py@.PATH_END.py |
{
"filename": "__init__.py",
"repo_name": "jmschrei/pomegranate",
"repo_path": "pomegranate_extracted/pomegranate-master/pomegranate/__init__.py",
"type": "Python"
} | __version__ = "1.1.1"
| jmschreiREPO_NAMEpomegranatePATH_START.@pomegranate_extracted@pomegranate-master@pomegranate@__init__.py@.PATH_END.py |
{
"filename": "quickvet2.ipynb",
"repo_name": "astrobel/spinneret",
"repo_path": "spinneret_extracted/spinneret-master/notebooks/quickvet2.ipynb",
"type": "Jupyter Notebook"
} | ```python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.pylab as pl
from matplotlib.colors import ListedColormap
import matplotlib.colors as cl
import joblib
import scipy.stats as sps
from tqdm import tqdm
```
```python
sectorlist = np.arange(2,27)
data = np.loadtxt(f'secto... | astrobelREPO_NAMEspinneretPATH_START.@spinneret_extracted@spinneret-master@notebooks@quickvet2.ipynb@.PATH_END.py |
{
"filename": "shape_base.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/numpy/core/shape_base.py",
"type": "Python"
} | from __future__ import division, absolute_import, print_function
__all__ = ['atleast_1d', 'atleast_2d', 'atleast_3d', 'block', 'hstack',
'stack', 'vstack']
from . import numeric as _nx
from .numeric import array, asanyarray, newaxis
from .multiarray import normalize_axis_index
def atleast_1d(*arys):
... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@numpy@core@shape_base.py@.PATH_END.py |
{
"filename": "data_2D_manipulation.py",
"repo_name": "BiaPyX/BiaPy",
"repo_path": "BiaPy_extracted/BiaPy-master/biapy/data/data_2D_manipulation.py",
"type": "Python"
} | import numpy as np
import os
import math
from PIL import Image
def crop_data_with_overlap(data, crop_shape, data_mask=None, overlap=(0, 0), padding=(0, 0), verbose=True,
load_data=True):
"""
Crop data into small square pieces with overlap. The difference with :func:`~crop_data` is th... | BiaPyXREPO_NAMEBiaPyPATH_START.@BiaPy_extracted@BiaPy-master@biapy@data@data_2D_manipulation.py@.PATH_END.py |
{
"filename": "array.py",
"repo_name": "sirocco-rt/sirocco",
"repo_path": "sirocco_extracted/sirocco-main/py_progs/py4py/py4py/array.py",
"type": "Python"
} | """
Array Functions
Standard functions used for manipulating arrays, e.g. to calculate full width half maxima, centroids or midpoints.
"""
from typing import Union, Tuple
from numpy.typing import NDArray
from numpy import floating
import numpy as np
def calculate_fwhm(
midpoints: NDArray[floating],
... | sirocco-rtREPO_NAMEsiroccoPATH_START.@sirocco_extracted@sirocco-main@py_progs@py4py@py4py@array.py@.PATH_END.py |
{
"filename": "_thicknessmode.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/validators/surface/colorbar/_thicknessmode.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class ThicknessmodeValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="thicknessmode", parent_name="surface.colorbar", **kwargs
):
super(ThicknessmodeValidator, self).__init__(
plotly_name=plotly_name,
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@validators@surface@colorbar@_thicknessmode.py@.PATH_END.py |
{
"filename": "_autorangeoptions.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py3/plotly/graph_objs/layout/yaxis/_autorangeoptions.py",
"type": "Python"
} | from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType
import copy as _copy
class Autorangeoptions(_BaseLayoutHierarchyType):
# class properties
# --------------------
_parent_path_str = "layout.yaxis"
_path_str = "layout.yaxis.autorangeoptions"
_valid_props = {
... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py3@plotly@graph_objs@layout@yaxis@_autorangeoptions.py@.PATH_END.py |
{
"filename": "api.py",
"repo_name": "statsmodels/statsmodels",
"repo_path": "statsmodels_extracted/statsmodels-main/statsmodels/tsa/filters/api.py",
"type": "Python"
} | __all__ = ["bkfilter", "hpfilter", "cffilter", "miso_lfilter",
"convolution_filter", "recursive_filter"]
from .bk_filter import bkfilter
from .hp_filter import hpfilter
from .cf_filter import cffilter
from .filtertools import miso_lfilter, convolution_filter, recursive_filter
| statsmodelsREPO_NAMEstatsmodelsPATH_START.@statsmodels_extracted@statsmodels-main@statsmodels@tsa@filters@api.py@.PATH_END.py |
{
"filename": "README.md",
"repo_name": "zoglauer/megalib",
"repo_path": "megalib_extracted/megalib-main/resource/examples/geomega/cosiballoon/README.md",
"type": "Markdown"
} | # Mass model "COSI balloon"
This is the official mass model for the 2016 COSI balloon flight.
This document summarizes mass model v4, and possible improvements.
## Updates for massmodel v4:
- A few years ago, Alex created a python script to define each of the GeD's in an independent .geo file which can take into ... | zoglauerREPO_NAMEmegalibPATH_START.@megalib_extracted@megalib-main@resource@examples@geomega@cosiballoon@README.md@.PATH_END.py |
{
"filename": "footprint_hsc_ssp.py",
"repo_name": "HETDEX/elixer",
"repo_path": "elixer_extracted/elixer-main/elixer/footprint_hsc_ssp.py",
"type": "Python"
} | #to use, pipe the output to some text file, then repalce hsc_meta.py with that text file
#NOTE: the last entry in the dictionary has a trailing comma ... need to remove that
"""
hsc_ssp : all wide so: (2" ??)
g: 26.6
r: 26.2
i: 26.2
z: 25.3
y: 24.5
cosmos: all pdr2_wide/deepCoadd_-results
w01: all pdr2_wide/deepCo... | HETDEXREPO_NAMEelixerPATH_START.@elixer_extracted@elixer-main@elixer@footprint_hsc_ssp.py@.PATH_END.py |
{
"filename": "_stream.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/plotly/py2/plotly/graph_objs/area/_stream.py",
"type": "Python"
} | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Stream(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "area"
_path_str = "area.stream"
_valid_props = {"maxpoints", "token"}
# maxpoints
#... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@plotly@py2@plotly@graph_objs@area@_stream.py@.PATH_END.py |
{
"filename": "apps.py",
"repo_name": "juanep97/iop4",
"repo_path": "iop4_extracted/iop4-main/iop4admin/apps.py",
"type": "Python"
} | import django.contrib.admin.apps
class IOP4AdminConfig(django.contrib.admin.apps.SimpleAdminConfig):
name = 'iop4admin'
default_site = 'iop4admin.sites.IOP4AdminSite' | juanep97REPO_NAMEiop4PATH_START.@iop4_extracted@iop4-main@iop4admin@apps.py@.PATH_END.py |
{
"filename": "one_hot.py",
"repo_name": "tensorflow/tensorflow",
"repo_path": "tensorflow_extracted/tensorflow-master/tensorflow/lite/testing/op_tests/one_hot.py",
"type": "Python"
} | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tensorflowREPO_NAMEtensorflowPATH_START.@tensorflow_extracted@tensorflow-master@tensorflow@lite@testing@op_tests@one_hot.py@.PATH_END.py |
{
"filename": "_textcase.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/scattercarpet/textfont/_textcase.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class TextcaseValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="textcase", parent_name="scattercarpet.textfont", **kwargs
):
super(TextcaseValidator, self).__init__(
plotly_name=plotly_name,
... | plotlyREPO_NAMEplotly.pyPATH_START.@plotly.py_extracted@plotly.py-master@packages@python@plotly@plotly@validators@scattercarpet@textfont@_textcase.py@.PATH_END.py |
{
"filename": "train.py",
"repo_name": "gmzsebastian/FLEET",
"repo_path": "FLEET_extracted/FLEET-master/FLEET/train.py",
"type": "Python"
} | from FLEET.classify import predict_SLSN
from multiprocessing import Pool
from astropy import table
import numpy as np
import glob
import os
all_objects = table.Table.read('sne_best.txt', format = 'ascii')
def predict_individual(i, date_range = 70, model = 'double', overwrite_features = False):
print(' ... | gmzsebastianREPO_NAMEFLEETPATH_START.@FLEET_extracted@FLEET-master@FLEET@train.py@.PATH_END.py |
{
"filename": "relativedelta.py",
"repo_name": "waynebhayes/SpArcFiRe",
"repo_path": "SpArcFiRe_extracted/SpArcFiRe-master/scripts/SpArcFiRe-pyvenv/lib/python2.7/site-packages/dateutil/relativedelta.py",
"type": "Python"
} | # -*- coding: utf-8 -*-
import datetime
import calendar
import operator
from math import copysign
from six import integer_types
from warnings import warn
from ._common import weekday
MO, TU, WE, TH, FR, SA, SU = weekdays = tuple(weekday(x) for x in range(7))
__all__ = ["relativedelta", "MO", "TU", "WE", "TH", "FR"... | waynebhayesREPO_NAMESpArcFiRePATH_START.@SpArcFiRe_extracted@SpArcFiRe-master@scripts@SpArcFiRe-pyvenv@lib@python2.7@site-packages@dateutil@relativedelta.py@.PATH_END.py |
{
"filename": "flax_sharp_bits.md",
"repo_name": "google/flax",
"repo_path": "flax_extracted/flax-main/docs/guides/flax_sharp_bits.md",
"type": "Markdown"
} | ---
jupytext:
formats: ipynb,md:myst
text_representation:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.13.8
---
# 🔪 Flax - The Sharp Bits 🔪
Flax exposes the full power of JAX. And just like when using JAX, there are certain _["sharp bits"](https://jax.readthedocs.io/... | googleREPO_NAMEflaxPATH_START.@flax_extracted@flax-main@docs@guides@flax_sharp_bits.md@.PATH_END.py |
{
"filename": "_labels.py",
"repo_name": "plotly/plotly.py",
"repo_path": "plotly.py_extracted/plotly.py-master/packages/python/plotly/plotly/validators/icicle/_labels.py",
"type": "Python"
} | import _plotly_utils.basevalidators
class LabelsValidator(_plotly_utils.basevalidators.DataArrayValidator):
def __init__(self, plotly_name="labels", parent_name="icicle", **kwargs):
super(LabelsValidator, 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@icicle@_labels.py@.PATH_END.py |
{
"filename": "graphql.py",
"repo_name": "catboost/catboost",
"repo_path": "catboost_extracted/catboost-master/contrib/python/Pygments/py3/pygments/lexers/graphql.py",
"type": "Python"
} | """
pygments.lexers.graphql
~~~~~~~~~~~~~~~~~~~~~~~
Lexer for GraphQL, an open-source data query and manipulation
language for APIs.
More information:
https://graphql.org/
:copyright: Copyright 2006-2024 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
f... | catboostREPO_NAMEcatboostPATH_START.@catboost_extracted@catboost-master@contrib@python@Pygments@py3@pygments@lexers@graphql.py@.PATH_END.py |
{
"filename": "ucb.py",
"repo_name": "astrocatalogs/supernovae",
"repo_path": "supernovae_extracted/supernovae-master/tasks/ucb.py",
"type": "Python"
} | """Import tasks for Alex Fillipenko's UC Berkeley group.
"""
import csv
import json
import os
import urllib
from math import floor
from astropy.time import Time as astrotime
from astrocats.catalog.photometry import PHOTOMETRY
from astrocats.catalog.utils import (get_sig_digits, is_number, pbar,
... | astrocatalogsREPO_NAMEsupernovaePATH_START.@supernovae_extracted@supernovae-master@tasks@ucb.py@.PATH_END.py |
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