repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
benkeesey/pandera | [
"5a1e30eca11b7d966871d0ebfa3813c93c88e70f"
] | [
"tests/io/test_io.py"
] | [
"\"\"\"Unit tests for io module\"\"\"\n\nimport platform\nimport tempfile\nfrom pathlib import Path\nfrom unittest import mock\n\nimport pandas as pd\nimport pytest\nfrom packaging import version\n\nimport pandera\nimport pandera.extensions as pa_ext\nimport pandera.typing as pat\nfrom pandera.engines import pandas... | [
[
"pandas.DataFrame",
"pandas.Timestamp",
"pandas.Timedelta",
"pandas.CategoricalDtype"
]
] |
boyuhou/security-data | [
"31bd1f0e9577d46124512102c4c4bf995cf36f95"
] | [
"security_data/__init__.py"
] | [
"import datetime\nimport dateutil.relativedelta\nimport logging\nimport pandas as pd\nfrom dateutil.relativedelta import relativedelta\nfrom security_data.iqfeed import iqfeed\nfrom security_data.db import DataService\nfrom security_data.indicators import Indicators\n\nlogger = logging.getLogger(__name__)\n\n\nclas... | [
[
"pandas.DataFrame.from_records",
"pandas.concat"
]
] |
folkien/pyCsvExtractor | [
"4f4112fff30c9e44b49553a65397996661e37323"
] | [
"pyCsvExtractor.py"
] | [
"#!/usr/bin/python3\nimport numpy as np\nimport pandas as pd\nimport argparse\nimport datetime as dt\nimport matplotlib.pyplot as plt\nimport locale\nfrom preview import View\nfrom scipy.interpolate import interp1d\n\n\n# defaults\nseparator = None\nlocale.setlocale(locale.LC_ALL, '')\ndecimalpoint = (locale.locale... | [
[
"numpy.searchsorted",
"pandas.read_csv",
"pandas.date_range"
]
] |
walsvid/Faster-RCNN-TensorFlow | [
"17919237f590a8739261151ea253c34ab2cbf650"
] | [
"lib/networks/VGG16.py"
] | [
"import tensorflow as tf\nfrom networks.network import Network\n\n\nclass VGG16(Network):\n def __init__(self, is_train):\n super().__init__(is_train)\n self.inputs = []\n self.is_train = is_train\n\n self.n_classes = 21\n self.feat_stride = [16, ]\n self.anchor_scales =... | [
[
"tensorflow.placeholder"
]
] |
Ascend/mindxsdk-referenceapps | [
"62039513b140534ec7bb0bdae83bfc4653dc4abf"
] | [
"mxVision/MultiThread/python/main_sendprotobuf.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCopyright 2020 Huawei Technologies Co., Ltd\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\nhttp://www.apache.org/licenses/LICE... | [
[
"numpy.where",
"numpy.array",
"numpy.frombuffer"
]
] |
sduncker/pandas | [
"f9e0b7df8ca8a92133d3cea0a26181140f991e2d",
"f9e0b7df8ca8a92133d3cea0a26181140f991e2d"
] | [
"pandas/tseries/tools.py",
"pandas/io/tests/test_packers.py"
] | [
"from datetime import datetime, timedelta\nimport re\nimport sys\n\nimport numpy as np\n\nimport pandas.lib as lib\nimport pandas.tslib as tslib\nimport pandas.core.common as com\nfrom pandas.compat import StringIO, callable\nimport pandas.compat as compat\n\ntry:\n import dateutil\n from dateutil.parser impo... | [
[
"pandas.tslib.get_timezone",
"pandas.tslib.datetime_to_datetime64",
"pandas.core.common._ensure_object",
"pandas.compat.callable",
"numpy.empty",
"pandas.tseries.frequencies._get_rule_month",
"pandas.lib.try_parse_year_month_day",
"pandas.core.common.is_list_like",
"pandas.tsli... |
mberkanbicer/software | [
"d27375257b0260cad901837612fbca0174134229"
] | [
"pyradar/Libs/antenna/array/planar_uniform.py"
] | [
"\"\"\"\nProject: RadarBook\nFile: planar_uniform.py\nCreated by: Lee A. Harrison\nOn: 1/22/2018\nCreated with: PyCharm\n\nCopyright (C) 2019 Artech House (artech@artechhouse.com)\nThis file is part of Introduction to Radar Using Python and MATLAB\nand can not be copied and/or distributed without the express permis... | [
[
"numpy.sin",
"numpy.ones_like",
"numpy.cos"
]
] |
Nishant-Pall/trax | [
"f714a271111578d4e6b3ac445eef86ca03dc7fa6"
] | [
"trax/tf_numpy/numpy_impl/utils.py"
] | [
"# coding=utf-8\n# Copyright 2020 The Trax Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by app... | [
[
"numpy.promote_types",
"tensorflow.compat.v2.cond",
"numpy.asarray",
"tensorflow.compat.v2.get_static_value",
"tensorflow.compat.v2.shape",
"tensorflow.compat.v2.reduce_any",
"tensorflow.compat.v2.broadcast_to",
"numpy.isscalar",
"tensorflow.compat.v2.as_dtype",
"tensorflow... |
coder6464/PYBOR | [
"6351155cd0bca7da114323e3b1af120d6639d8d7"
] | [
"yc_curvebuilder.py"
] | [
"# Copyright © 2017 Ondrej Martinsky, All rights reserved\r\n# http://github.com/omartinsky/pybor\r\n\r\nfrom instruments.deposit import *\r\nfrom instruments.zerorate import *\r\nfrom instruments.future import *\r\nfrom instruments.basisswap import *\r\nfrom instruments.crosscurrencyswap import *\r\nfrom instrumen... | [
[
"numpy.isnan"
]
] |
yzxamos/BRAINS | [
"b81cec02a1902df1e544542a970b66d9916a7496"
] | [
"analysis/libbackend.py"
] | [
"# -*- coding: utf-8 -*-\n\n#\n# BRAINS\n# (B)LR (R)everberation-mapping (A)nalysis (I)n AGNs with (N)ested (S)ampling\n# Yan-Rong Li, liyanrong@ihep.ac.cn\n# Thu, Aug 4, 2016\n#\n\nimport os\nimport sys\nimport corner\nimport numpy as np \nimport configparser as cp\nimport matplotlib.pyplot as plt\n\n__all__ = ['p... | [
[
"numpy.loadtxt",
"numpy.min",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.plot"
]
] |
onlyrico/mling_sdgms | [
"ef6015d1a815a317f16fa1e42cbb048e4fe443f7"
] | [
"nn_model/bva.py"
] | [
"# -*- coding: UTF-8 -*-\n#!/usr/bin/python3\n\"\"\"\nBilingual variational autoencoder\n\"\"\"\n\n#************************************************************\n# Imported Libraries\n#************************************************************\nimport numpy as np\n\nimport torch\nimport torch.nn as nn\nimport tor... | [
[
"torch.save",
"torch.LongTensor"
]
] |
vinitX/mpnum | [
"92549446687da6366246f64952c65789be3031bf"
] | [
"tests/utils_physics_test.py"
] | [
"# encoding: utf-8\n\nfrom __future__ import division, print_function\n\nimport pytest as pt\nimport sys\nfrom scipy.sparse.linalg import eigsh\n\nfrom mpnum.utils import physics\n\n\n@pt.mark.parametrize('nr_sites', [2, 6, pt.mark.long(10)])\n@pt.mark.parametrize('gamma', [-0.5, pt.mark.long(0.1), pt.mark.long(1.0... | [
[
"scipy.sparse.linalg.eigsh"
]
] |
cespenar/sdBGridViewer | [
"38327bae2cca794172049f368c27493957095799"
] | [
"sdb_grid_viewer.py"
] | [
"import dash\nimport dash_bootstrap_components as dbc\nimport numpy as np\nimport pandas as pd\nimport plotly.express as px\nfrom dash import dcc, html, Input, Output, State\nfrom sqlalchemy import create_engine\n\nSIDEBAR_STYLE = {\n 'overflow': 'scroll'\n}\n\napp = dash.Dash(__name__, external_stylesheets=[dbc... | [
[
"numpy.log10",
"pandas.read_sql"
]
] |
kleelab-bch/MARS-Net | [
"d65b4a3aa6fffeb2b694e75f76e00a4a72a2bb4c"
] | [
"evaluation/draw_learning_curve.py"
] | [
"'''\r\nAuthor: Junbong Jang\r\nModified Date: 9/20/2020\r\n\r\n'''\r\n\r\nimport matplotlib\r\nmatplotlib.use('agg')\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport os\r\nimport sys\r\nsys.path.append('..')\r\nfrom UserParams import UserParams\r\n\r\nfrom matplotlib import rcParams\r\nrcParams['... | [
[
"matplotlib.use",
"numpy.load",
"matplotlib.pyplot.close",
"matplotlib.pyplot.subplots",
"matplotlib.rc",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.xticks"
]
] |
Talgin/facerec | [
"6ec6d9fbb1c2cf4cc344decfa1ef012f43f7bbce"
] | [
"src/eval/ytf.py"
] | [
"from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\nimport cv2\nimport argparse\nimport sys\nimport numpy as np\nfrom scipy import misc\nfrom sklearn.model_selection import KFold\nfrom scipy import interpolate\nimport sklearn\nfrom sklearn.me... | [
[
"numpy.square",
"numpy.array",
"numpy.asarray",
"numpy.zeros",
"numpy.mean",
"numpy.std",
"numpy.amin",
"numpy.subtract",
"sklearn.preprocessing.normalize",
"numpy.arange",
"numpy.transpose",
"numpy.argmax",
"sklearn.model_selection.KFold",
"numpy.amax",
... |
SPRACE/track-ml | [
"3af95fd014e98a5b11261dc5d618f34f82fdf84d"
] | [
"old/lstm-map-Evaluate.py"
] | [
"from math import sqrt\nimport sys\nimport scipy.stats\nimport seaborn as sns\nimport pandas as pd\nfrom matplotlib import pyplot as plt\n\noriginal_tracks = sys.argv[1]\nreconstructed_tracks = sys.argv[2]\noutputfig = sys.argv[3]\neval_file = sys.argv[4]\n\ndfOriginal = pd.read_csv(... | [
[
"matplotlib.pyplot.savefig",
"pandas.read_csv",
"matplotlib.pyplot.figure"
]
] |
tkerwin/pydre | [
"a100779801ffdc9855f09328bd28bf79ab6e679b"
] | [
"preprocessing_tools/ecocar_special.py"
] | [
"import csv\nimport argparse\nimport os\nimport sys\nimport glob\nimport re\nimport pandas\n\nsys.path.append(os.path.join(os.path.dirname(__file__)))\n\nimport pydre\n\ndef ecoCar(d: pandas.DataFrame):\n event = 0\n reactionTimeList = list()\n df = pandas.DataFrame(d, columns=(\"SimTime\", \"WarningToggle... | [
[
"pandas.DataFrame",
"pandas.read_csv"
]
] |
TOT0RoKR/tensorflow | [
"3457a2b122e50b4d44ceaaed5a663d635e5c22df"
] | [
"tensorflow/python/kernel_tests/reduction_ops_test.py"
] | [
"# Copyright 2015 The TensorFlow Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless requ... | [
[
"tensorflow.python.ops.variables.Variable",
"numpy.random.rand",
"tensorflow.python.ops.math_ops.reduce_sum",
"tensorflow.python.ops.math_ops.reduce_prod",
"numpy.issubdtype",
"tensorflow.python.platform.test.main",
"tensorflow.python.ops.math_ops.reduce_all",
"tensorflow.python.op... |
abhishekdasz/Hacktoberfest2021-1 | [
"2191624630d30a5e10592a7b44251a87212c35b4"
] | [
"Python/strassen's matrix multiplication.py"
] | [
"# Version 3.6\n\nimport numpy as np\n\ndef split(matrix):\n\t\"\"\"\n\tSplits a given matrix into quarters.\n\tInput: nxn matrix\n\tOutput: tuple containing 4 n/2 x n/2 matrices corresponding to a, b, c, d\n\t\"\"\"\n\trow, col = matrix.shape\n\trow2, col2 = row//2, col//2\n\treturn matrix[:row2, :col2], matrix[:r... | [
[
"numpy.hstack"
]
] |
franciscovargas/TeviotDataScienceGame | [
"77bdffb87b2a25490ca175b3a2f96459067e4ccb"
] | [
"train_scripts/rbm413val.py"
] | [
"# in this script we use rotation of +/- 20 degrees, instead of +/- 5 degrees\n# also change the l2 regularization of the last layer\n# same as 410 with zca, epsilon=10e-3\n\nfrom keras.layers.convolutional import Convolution2D, MaxPooling2D, UpSampling2D\nfrom keras.layers import Input, Dense, Dropout, Flatten\nfr... | [
[
"numpy.random.normal",
"pandas.read_csv",
"numpy.load"
]
] |
sas2py/datarobot-user-models | [
"ab493be2db21f43d4d9a2e6e588bfe6d1f18db12"
] | [
"tests/fixtures/custom_pred_consistency/custom.py"
] | [
"import pandas as pd\nimport numpy as np\nimport joblib\nfrom sklearn.linear_model import LogisticRegression\n\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.compose import ColumnTransformer\nfrom sklearn.preprocessing import StandardScaler, OneHotEncoder\nfrom sklearn.impute import SimpleImputer\n\nimport os... | [
[
"sklearn.impute.SimpleImputer",
"pandas.DataFrame.sparse.from_spmatrix",
"sklearn.preprocessing.StandardScaler",
"sklearn.compose.ColumnTransformer",
"sklearn.linear_model.LogisticRegression",
"sklearn.pipeline.Pipeline",
"sklearn.preprocessing.OneHotEncoder"
]
] |
qiangz520/Deep3DFaceReconstruction | [
"71554f93acdd7532530e977f78fa02337160d4c1"
] | [
"load_data.py"
] | [
"import numpy as np \nfrom PIL import Image\nfrom scipy.io import loadmat,savemat\nfrom array import array\n\n# load expression basis\ndef LoadExpBasis():\n\tn_vertex = 53215\n\tExpbin = open('BFM/Exp_Pca.bin','rb')\n\texp_dim = array('i')\n\texp_dim.fromfile(Expbin,1)\n\texpMU = array('f')\n\texpPC = array('f')\n\... | [
[
"numpy.array",
"numpy.reshape",
"scipy.io.loadmat",
"numpy.mean",
"scipy.io.savemat",
"numpy.loadtxt",
"numpy.transpose"
]
] |
jerpint/jag | [
"0f0d7b634abf958a57ec77afecbf9d9117ecf81e"
] | [
"jag/utils/data_fetcher.py"
] | [
"import tensorflow as tf\nimport os\nfrom typing import Dict\n\n\ndef get_file(data_src: str, cache_dir: str) -> Dict[str, str]:\n \"\"\" Return the local path of the datasets specified in data_src in cache_dir.\n If a dataset does not exists in cache_dir or its MD5 does not agree, it is downloaded.\n Args... | [
[
"tensorflow.keras.utils.get_file"
]
] |
big-o/pandas | [
"a2178065fd5eecc2562f8c3725ac09573b687022"
] | [
"pandas/tests/arrays/test_integer.py"
] | [
"import numpy as np\nimport pytest\n\nimport pandas.util._test_decorators as td\n\nfrom pandas.core.dtypes.generic import ABCIndexClass\n\nimport pandas as pd\nfrom pandas.api.types import is_float, is_float_dtype, is_integer, is_scalar\nfrom pandas.core.arrays import IntegerArray, integer_array\nfrom pandas.core.a... | [
[
"pandas.core.arrays.integer.Int64Dtype",
"numpy.where",
"pandas.Timestamp",
"pandas.core.arrays.integer.UInt8Dtype",
"pandas.core.arrays.integer.Int16Dtype",
"pandas.core.arrays.integer_array",
"pandas.api.types.is_float",
"numpy.dtype",
"pandas.core.arrays.integer.UInt64Dtype"... |
gvalenzuelarg/coronavirus | [
"ca0c4d02dbd53d63fd0c433354e4e3689872bb23"
] | [
"modules/model.py"
] | [
"\"\"\"Tools to initialize, train, and tune models for COVID-19 forecasts.\n\"\"\"\n\nimport numpy as np\nimport pandas as pd\nimport itertools\nfrom babel.dates import format_date\nfrom babel.numbers import format_decimal\nimport matplotlib.pyplot as plt\n\nfrom sklearn.metrics import mean_squared_error, explained... | [
[
"pandas.to_datetime",
"sklearn.metrics.mean_squared_error",
"scipy.optimize.curve_fit",
"pandas.Timedelta",
"numpy.argmin",
"numpy.round",
"pandas.DataFrame",
"numpy.exp",
"sklearn.metrics.explained_variance_score",
"numpy.argmax",
"pandas.concat",
"matplotlib.pyplo... |
HarryPetr1969/statsmodels | [
"fb448540aa0fa354d4cd2fe7b161cb949ce91888"
] | [
"statsmodels/distributions/tests/test_discrete.py"
] | [
"\n\nimport numpy as np\nimport statsmodels.api as sm\nfrom scipy import stats\nfrom scipy.stats import poisson, nbinom\nfrom numpy.testing import assert_allclose, assert_equal\n\nfrom statsmodels.distributions.discrete import (\n DiscretizedCount, DiscretizedModel)\n\nfrom statsmodels.tools.tools import Bunch\n... | [
[
"numpy.testing.assert_allclose",
"scipy.stats.nbinom.ppf",
"scipy.stats.poisson.var",
"scipy.stats.nbinom.cdf",
"scipy.stats.nbinom.mean",
"scipy.stats.nbinom.var",
"scipy.stats.geom",
"scipy.stats.poisson.mean",
"scipy.stats.poisson.cdf",
"numpy.bincount",
"numpy.log",... |
AlrauneZ/TransportAbility | [
"68ca3fd341dce4367477f7834f885920dde60483"
] | [
"src/TA_Simulation.py"
] | [
"#!/usr/bin/env python3\n\nimport numpy as np\nimport os.path\nimport copy\n\nfrom Distributions import Porosity_Distribution,TA_POR_Distribution\n#### Load values of transport resistant from data file\n\n\nDEF_DATA = dict(\n res0 = 2,\n pstd_r0=0.15,\n por_con_min = 0.07,\n nmin = 20,\n dp = 0.... | [
[
"numpy.compress",
"numpy.dot",
"numpy.exp",
"numpy.mean",
"numpy.where",
"numpy.log",
"numpy.random.randint",
"numpy.arange",
"numpy.sqrt",
"numpy.vstack",
"numpy.diagflat",
"numpy.reshape",
"numpy.zeros",
"numpy.all",
"numpy.power",
"numpy.floor",
... |
phiwei/tensor_bot | [
"0cfe81d4b31a50e520dbacc650950dc6e370d075"
] | [
"example_telegram.py"
] | [
"\"\"\"\nExample from https://keras.io/examples/mnist_cnn/\n\"\"\"\n\nfrom __future__ import print_function\nimport tensorflow.keras\nfrom tensorflow.keras.datasets import mnist\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Dropout, Flatten\nfrom tensorflow.keras.layers... | [
[
"tensorflow.keras.datasets.mnist.load_data",
"tensorflow.keras.layers.Flatten",
"tensorflow.keras.backend.image_data_format",
"tensorflow.keras.layers.Dense",
"tensorflow.keras.layers.Conv2D",
"tensorflow.keras.layers.Dropout",
"tensorflow.keras.layers.MaxPooling2D",
"tensorflow.ke... |
Saruccio/Flatland | [
"3013640872249adb02c518f78119b1ad04fb2a0b"
] | [
"examples/desk_bench.py"
] | [
"# File: desk_bench.py\n# Date: 05-10-2019\n# Author: Saruccio Culmone\n#\n# Description\n# Confronto in ambiente simulato tra misure reali e misure simulate\n#\n\"\"\"\nThis script creates a virtual environemt from a real one in order to allow\nthe comparison among virtual and real measures.\n\"\"\"\n\n\nimport os... | [
[
"numpy.deg2rad"
]
] |
minhncedutw/100DaysOfTechLearning | [
"8e7602c17d844cbf643b381dd4e3d90d1e832453"
] | [
"old2/day11/pointnet_loss.py"
] | [
"import tensorflow as tf\nfrom keras.losses import categorical_crossentropy\ndef pointnet_loss(xtran, reg_weight=0.001):\n \"\"\"\n Description:\n :param NAME: TYPE, MEAN\n :return: TYPE, MEAN\n Implemented from: https://github.com/charlesq34/pointnet/blob/master/part_seg/pointnet_part_seg.py\n ... | [
[
"tensorflow.reduce_mean",
"tensorflow.transpose",
"tensorflow.nn.l2_loss"
]
] |
biswajitcsecu/ngraph | [
"d6bff37d7968922ef81f3bed63379e849fcf3b45"
] | [
"python/test/ngraph/test_ops_fused.py"
] | [
"# ******************************************************************************\n# Copyright 2017-2019 Intel Corporation\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# ... | [
[
"numpy.array",
"numpy.dot",
"numpy.add",
"numpy.mean",
"numpy.multiply",
"numpy.allclose",
"numpy.float32",
"numpy.subtract",
"numpy.arange",
"numpy.power",
"numpy.sqrt",
"numpy.clip"
]
] |
mesnardo/automan-example | [
"06daa5bfd84b184eda7476e89ce9b3190b680fbc"
] | [
"automan_example.py"
] | [
"\"\"\"\nExample using the automation framework `automan`.\n\"\"\"\n\nimport os\nimport pandas\nimport matplotlib\nmatplotlib.use('Agg')\nfrom matplotlib import pyplot\nfrom automan.api import Problem, Simulation, Automator\n\n\nclass CpVsFoils(Problem):\n def get_name(self):\n return 'cp_vs_foils'\n\n def set... | [
[
"matplotlib.use",
"pandas.read_csv",
"matplotlib.pyplot.subplots"
]
] |
ptanh2k/int3404 | [
"ad39ce61b768ef7b55936561c13bfa1c3adf0e92"
] | [
"week05/week05_q1.py"
] | [
"\"\"\"\nName: Pham Tuan Anh\nClass: K63K2\nMSSV: 18020116\n\nYou should understand the code you write.\n\"\"\"\n\nimport cv2\nimport numpy as np\nimport argparse\nimport time\n\ndef conv_sum(a, b):\n s = 0\n for i in range(len(a)):\n for j in range(len(a[0])):\n s += a[i][j]*b[i][j]\n re... | [
[
"numpy.array",
"numpy.empty",
"numpy.sort",
"numpy.zeros"
]
] |
kmisiunas/QuipuNet | [
"8e7f1cb15ebc4a3cc65bd1139bd11c4d49be8130"
] | [
"Quipu/augment.py"
] | [
"# Project Quipu - data augmentation methods \n\nimport scipy.signal as signal\nimport numpy as np\nimport Quipu.tools\n\n\ndef addNoise(xs, std = 0.05):\n \"Add gaussian noise\"\n return xs + np.random.normal(0, std, xs.shape)\n\n\ndef stretchDuration(xs, std = 0.1, probability = 0.5):\n \"\"\"\n Augme... | [
[
"numpy.random.normal",
"numpy.copy",
"numpy.random.rand"
]
] |
Sufi737/ga-learner-dsmp-repo | [
"a71c9bf138d5d9ba1ff4f37238d5e152cbf4380c"
] | [
"Exploration-of-Google-Playstore-Apps-datacode.py"
] | [
"# --------------\n#Importing header files\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\n\n\n\n\n#Code starts here\ndata = pd.read_csv(path)\ndata['Rating'].plot(kind='hist')\n\ndata = data[data['Rating'] <= 5]\ndata['Rating'].plot(kind='hist')\n#Code ends here\n\n\n# -------------... | [
[
"pandas.to_datetime",
"sklearn.preprocessing.LabelEncoder",
"pandas.read_csv",
"pandas.concat"
]
] |
jiangfeng1124/ChemRxnExtractor | [
"124ea09d944abb4375be38294a74f0de4b1087fa"
] | [
"chemrxnextractor/train/role_labeling.py"
] | [
"import logging\nimport os\nimport sys\nfrom dataclasses import dataclass, field\nfrom typing import Dict, List, Optional, Tuple\nfrom tqdm.auto import tqdm, trange\n\nfrom seqeval.metrics import f1_score, precision_score, recall_score\nimport numpy as np\nimport torch\nfrom torch import nn\nfrom torch.utils.data.d... | [
[
"torch.utils.data.sampler.SequentialSampler",
"torch.no_grad",
"torch.cuda.is_available",
"torch.utils.data.DataLoader"
]
] |
dtamayo/forecaster | [
"30fca13e84ccf5e7e6162d3493acfc0eb32ca713"
] | [
"func.py"
] | [
"from __future__ import (print_function, absolute_import,\n division, unicode_literals)\nimport numpy as np\nfrom scipy.stats import norm\n\n### fix the number of different populations\nn_pop = 4\n\n\ndef indicate(M, trans, i):\n '''\n indicate which M belongs to population i given tran... | [
[
"scipy.stats.norm.pdf",
"numpy.zeros_like",
"scipy.stats.norm.ppf",
"numpy.zeros",
"numpy.sum",
"numpy.insert"
]
] |
weimingwill/federated | [
"59633d68e04f46c4881a05af5cda75bddc532afb",
"59633d68e04f46c4881a05af5cda75bddc532afb"
] | [
"tensorflow_federated/python/core/backends/mapreduce/form_utils_test.py",
"tensorflow_federated/python/core/backends/test/federated_strategy.py"
] | [
"# Copyright 2019, The TensorFlow Federated Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by a... | [
[
"numpy.array",
"tensorflow.compat.v1.ConfigProto",
"tensorflow.is_tensor"
],
[
"tensorflow.constant",
"tensorflow.is_tensor",
"tensorflow.nest.map_structure"
]
] |
catherinebouchard22/AutocGAN | [
"5fbb8464cf44c770912b2b0f1afffe5d158617f2"
] | [
"search_cgan.py"
] | [
"# -*- coding: utf-8 -*-\n# @Date : 2019-09-25\n# @Author : Xinyu Gong (xy_gong@tamu.edu)\n# @Link : None\n# @Version : 0.0\n\nfrom __future__ import absolute_import, division, print_function\n\nimport os\n\nimport torch\nimport torch.nn as nn\nfrom tensorboardX import SummaryWriter\nfrom tqdm import tqdm\n\... | [
[
"torch.cuda.manual_seed",
"torch.nn.init.constant_",
"torch.nn.init.xavier_uniform",
"torch.nn.init.normal_",
"torch.load",
"torch.nn.init.orthogonal_"
]
] |
zhangjunliang555/convlab2-kbert | [
"b4544bc338904e518285e214ee48d46bfe79662e"
] | [
"convlab2/nlu/jointBERT/crosswoz/postprocess.py"
] | [
"import re\nimport torch\n\n\ndef is_slot_da(da):\n tag_da = {'Inform', 'Recommend'}\n not_tag_slot = '酒店设施'\n if da[0] in tag_da and not_tag_slot not in da[2]:\n return True\n return False\n\n\ndef calculateF1(predict_golden):\n TP, FP, FN = 0, 0, 0\n for item in predict_golden:\n p... | [
[
"torch.max"
]
] |
faridrashidi/scphylo-tools | [
"4574e2c015da58e59caa38e3b3e49b398c1379c1"
] | [
"scphylo/external/gpps/_utils_hc.py"
] | [
"from subprocess import PIPE, Popen\n\nimport numpy as np\n\nimport scphylo as scp\nfrom scphylo.external.gpps._nh2lgf import newick_to_edgelist\n\n__author__ = \"Simone Ciccolella\"\n__date__ = \"11/30/21\"\n\n\nclass Node:\n def __init__(\n self,\n name,\n parent,\n id_node,\n ... | [
[
"numpy.savetxt"
]
] |
Kerlex/ConvE | [
"5cb49efee85c6d98e460f193b0be19204da264ef"
] | [
"main.py"
] | [
"import json\nimport torch\nimport pickle\nimport numpy as np\nimport argparse\nimport sys\nimport os\nimport math\n\nfrom os.path import join\nimport torch.backends.cudnn as cudnn\n\nfrom evaluation import ranking_and_hits\nfrom model import ConvE, DistMult, Complex\n\nfrom spodernet.preprocessing.pipeline import ... | [
[
"numpy.array",
"numpy.set_printoptions",
"torch.no_grad",
"numpy.sum",
"torch.manual_seed",
"torch.load"
]
] |
prasunroy/cnn-on-degraded-images | [
"85bb4c62a024e3766da3c4d2556e01c6e12e416a"
] | [
"test.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nPerformance test of cnn architectures on various degradation models.\nCreated on Thu May 24 11:00:00 2018\nAuthor: Prasun Roy | CVPRU-ISICAL (http://www.isical.ac.in/~cvpr)\nGitHub: https://github.com/prasunroy/cnn-on-degraded-images\n\n\"\"\"\n\n\n# imports\nfrom __future__ import... | [
[
"numpy.asarray",
"numpy.zeros",
"pandas.DataFrame",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.title",
"matplotlib.pyplot.legend",
"numpy.sum",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show",
"matplotlib.pyplot.gca"
]
] |
ankitaggarwal011/MOOCs | [
"bc994c7c15708c00368f116d9f636dada06d7059"
] | [
"edX/AUTONAVx/PID.py"
] | [
"import numpy as np\n\nclass State:\n def __init__(self):\n self.position = np.zeros((3,1))\n self.velocity = np.zeros((3,1))\n\nclass UserCode:\n def __init__(self):\n \n # xy control gains\n Kp_xy = 2.0 # xy proportional\n Kd_xy = 1.0 # xy differential\n \n ... | [
[
"numpy.array",
"numpy.zeros"
]
] |
TiKeil/pymor | [
"5c6b3b6e1714b5ede11ce7cf03399780ab29d252",
"e8b18d2d4c4b5998f0bd84f6728e365e0693b753"
] | [
"src/pymor/discretizers/builtin/fv.py",
"src/pymordemos/parametric_heat.py"
] | [
"# This file is part of the pyMOR project (http://www.pymor.org).\n# Copyright 2013-2020 pyMOR developers and contributors. All rights reserved.\n# License: BSD 2-Clause License (http://opensource.org/licenses/BSD-2-Clause)\n\n\"\"\" This module provides some operators for finite volume discretizations.\"\"\"\nfrom... | [
[
"numpy.concatenate",
"scipy.sparse.coo_matrix",
"numpy.array",
"numpy.linalg.norm",
"numpy.ones_like",
"numpy.zeros_like",
"numpy.minimum",
"numpy.sum",
"scipy.sparse.csc_matrix",
"numpy.tile",
"numpy.greater_equal",
"numpy.less_equal",
"numpy.einsum",
"nump... |
shivamsp133/pytorch | [
"457a3fb6d1441721cb72dca90b8f20b32d553856"
] | [
"test/ao/sparsity/test_pruner.py"
] | [
"# -*- coding: utf-8 -*-\n\nimport logging\n\nimport torch\nfrom torch import nn\nfrom torch.ao.sparsity import BasePruner, PruningParametrization\nfrom torch.nn.utils import parametrize\n\nfrom torch.testing._internal.common_utils import TestCase\n\nlogging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)... | [
[
"torch.nn.Linear",
"torch.ones",
"torch.nn.ReLU",
"torch.nn.utils.parametrize.is_parametrized",
"torch.nn.Conv2d"
]
] |
liud16/capstone18 | [
"f40092ec6513621910fcfd4665bc349301bae9b0",
"f40092ec6513621910fcfd4665bc349301bae9b0",
"f40092ec6513621910fcfd4665bc349301bae9b0",
"f40092ec6513621910fcfd4665bc349301bae9b0",
"f40092ec6513621910fcfd4665bc349301bae9b0"
] | [
"code_dev/Peak-Fitting/curve_fit/gaussian_fit/TAdeconv_multgauss_matx.py",
"code_dev/Peak-Evaluation/syntheticdata_threegaussian_noshift_broadpeak.py",
"code_dev/Peak-Analysis/syntheticdata_2gauss_shiftpast_20180426.py",
"peakaboo/data_smoothing.py",
"peakaboo/smoothing_visualize.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Wed Jun 7 09:08:14 2017\n\n@author: lyundemi\n\"\"\"\n\nimport numpy as np\nfrom scipy.optimize import differential_evolution, fmin_tnc\nimport itertools\nimport multiprocessing as mp\nimport random\nimport matplotlib.pyplot as plt\n\ndef find_nearest(array,value):\n ... | [
[
"scipy.optimize.differential_evolution",
"numpy.sum",
"matplotlib.pyplot.title",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"numpy.genfromtxt",
"matplotlib.pyplot.figure",
"numpy.exp",
"numpy.abs"
],
[
"matplotlib.pyplot.colorbar",
"matplotlib.pyplot.pcol... |
iirishikaii/cleverhans | [
"dda1aa598131c56a64103f478c153e84bc951f7c"
] | [
"cleverhans/model_zoo/basic_cls.py"
] | [
"\"\"\"\nA pure TensorFlow implementation of a convolutional neural network.\n\"\"\"\n# pylint: disable=missing-docstring\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\nfrom __future__ import unicode_literals\nimport numpy as np\nimport functools\n\n... | [
[
"tensorflow.variable_scope",
"tensorflow.shape",
"tensorflow.placeholder",
"tensorflow.reshape"
]
] |
bochuxt/LibRecommender | [
"3758c906ba6483019e31fbd4748020be75e6b43c"
] | [
"examples/pure_example.py"
] | [
"import numpy as np\nimport pandas as pd\nfrom libreco.data import random_split, DatasetPure\nfrom libreco.algorithms import SVDpp # pure data, algorithm SVD++\n\n# remove unnecessary tensorflow logging\nimport os\nimport tensorflow as tf\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\nos.environ[\"KMP_WARNINGS\"] = \"... | [
[
"tensorflow.compat.v1.logging.set_verbosity",
"pandas.read_csv"
]
] |
DanMosier/openpilot | [
"f0b3593682c1e83c11c38a463063077e53cac5ad"
] | [
"selfdrive/test/test_onroad.py"
] | [
"#!/usr/bin/env python3\nimport json\nimport os\nimport subprocess\nimport time\nimport numpy as np\nimport unittest\nfrom collections import Counter\nfrom pathlib import Path\n\nfrom cereal import car\nimport cereal.messaging as messaging\nfrom cereal.services import service_list\nfrom common.basedir import BASEDI... | [
[
"numpy.max",
"numpy.min",
"numpy.mean",
"numpy.diff",
"numpy.std"
]
] |
tony23545/yolact | [
"01bc1b0165035c74a4d28a5dff774d987b6a7ff3"
] | [
"eval_original.py"
] | [
"from data import COCODetection, MEANS, COLORS, COCO_CLASSES\nfrom yolact import Yolact\nfrom utils.augmentations import BaseTransform, FastBaseTransform, Resize\nfrom utils.functions import MovingAverage, ProgressBar\nfrom layers.box_utils import jaccard, center_size\nfrom utils import timer\nfrom utils.functions ... | [
[
"numpy.array",
"torch.stack",
"torch.cuda.synchronize",
"torch.no_grad",
"matplotlib.pyplot.title",
"torch.set_default_tensor_type",
"numpy.save",
"torch.sum",
"matplotlib.pyplot.show",
"torch.onnx.export",
"numpy.searchsorted",
"torch.Tensor",
"matplotlib.pyplo... |
seba-1511/qrl | [
"7e02128610734311fd07ff78e9bd63530fe1002d"
] | [
"qsac.py"
] | [
"#!/usr/bin/env python\n\nfrom copy import deepcopy\nimport itertools\nimport numpy as np\nimport torch\nfrom torch.optim import Adam\nimport gym\nimport time\nimport sac_core as core\nimport tqdm\nimport wandb\nimport os\n\n\nclass ReplayBuffer:\n \"\"\"\n A simple FIFO experience replay buffer for SAC agent... | [
[
"torch.min",
"numpy.zeros",
"numpy.random.seed",
"torch.no_grad",
"torch.optim.Adam",
"torch.manual_seed",
"numpy.random.randint",
"torch.as_tensor",
"torch.set_num_threads"
]
] |
mtmaru/prml_practice | [
"773b14d5a83381fc5b8a7cc00dcf4f14f87b0792"
] | [
"gaussian_mixture_em.py"
] | [
"import random\nimport numpy as np\nfrom scipy.stats import multivariate_normal\n\nclass GaussianMixtureEM():\n def __init__(self, n_class, max_iter=100, tol=1e-4):\n self.n_class = n_class\n self.max_iter = max_iter\n self.tol = tol\n\n def fit(self, X, y):\n n = len(X)\n n... | [
[
"numpy.array",
"numpy.dot",
"numpy.cov",
"numpy.log",
"numpy.zeros",
"numpy.sum",
"scipy.stats.multivariate_normal"
]
] |
vision-and-sensing/Adaptive-LiDAR-Sampling | [
"fa49901cd9662393ffc2d267633ebe0b65be0a30",
"fa49901cd9662393ffc2d267633ebe0b65be0a30"
] | [
"dataloaders/transforms.py",
"dataloaders/kitti_loader.py"
] | [
"from __future__ import division\nimport torch\nimport math\nimport random\n\nfrom PIL import Image, ImageOps, ImageEnhance\ntry:\n import accimage\nexcept ImportError:\n accimage = None\n\nimport numpy as np\nimport numbers\nimport types\nimport collections\nimport warnings\n\nimport scipy.ndimage.interpolat... | [
[
"numpy.array",
"numpy.uint8",
"numpy.errstate",
"torch.is_tensor",
"numpy.random.shuffle",
"numpy.clip",
"numpy.fliplr"
],
[
"numpy.max",
"numpy.array",
"numpy.random.binomial",
"numpy.linalg.norm",
"numpy.zeros",
"numpy.eye",
"numpy.random.uniform",
... |
vivym/OpenKS | [
"ea380782162de2e4c1a413f37ad12b85ccb7048a",
"ea380782162de2e4c1a413f37ad12b85ccb7048a"
] | [
"openks/models/pytorch/mmd_modules/STVGBert/src/stvglib/detectors/exdet.py",
"openks/models/pytorch/mmd_modules/HOI/models/criterion.py"
] | [
"from __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\n# import _init_paths\n\nimport os\n\nimport cv2\nimport numpy as np\nfrom progress.bar import Bar\nimport time\nimport torch\n\nfrom models.decode import exct_decode, agnex_ct_decode\nfrom models.utils... | [
[
"numpy.concatenate",
"torch.cuda.synchronize",
"numpy.zeros",
"torch.no_grad",
"numpy.partition",
"numpy.maximum"
],
[
"torch.nn.functional.binary_cross_entropy_with_logits",
"torch.cat",
"torch.nn.functional.l1_loss",
"torch.no_grad",
"torch.ones",
"torch.full_... |
Nesting-Tech/zc-bnlp | [
"47fcf44b5cb6f4810a8bf612bb5f1bd2de94551d",
"47fcf44b5cb6f4810a8bf612bb5f1bd2de94551d"
] | [
"demo/demo_zh.py",
"bnlp/data/word2vec.py"
] | [
"# -*- coding: utf-8 -*-\n\n\nfrom __future__ import absolute_import\nfrom __future__ import division\nfrom __future__ import print_function\n\nimport os\nimport sys\n\nsys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..'))\nimport tensorflow as tf\n# import coref_model as cm\n# import util... | [
[
"tensorflow.Session",
"numpy.array",
"numpy.stack"
],
[
"numpy.fromstring",
"numpy.linalg.norm",
"numpy.zeros"
]
] |
smart-cuhk/ruckig | [
"ebdf0c534b0c9ee9a82ffd7746939a79bea6a39a"
] | [
"test/benchmark_plot.py"
] | [
"from pathlib import Path\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\nticks = ('1 DoF', '3 DoF', '6 DoF', '7 DoF')\nruckig_average_mean = [1.034, 5.768, 13.29, 15.67]\nruckig_average_err = [0.113595, 0.2788, 0.386, 0.351]\nruckig_worst_mean = [40.8002, 73.2714, 106.79, 116.333]\nruckig_worst_err = [... | [
[
"matplotlib.pyplot.subplot",
"matplotlib.pyplot.gca",
"matplotlib.pyplot.suptitle",
"matplotlib.pyplot.figure"
]
] |
SuperXiang/GMN | [
"b74364e5b9f424b63a5ce63a207a6e4a067d7d3b"
] | [
"spatial_graph/n_body_system/dataset_nbody.py"
] | [
"import numpy as np\nimport torch\nimport random\nimport pickle as pkl\n\n\nclass NBodyMStickDataset():\n \"\"\"\n NBodyDataset\n\n \"\"\"\n def __init__(self, partition='train', max_samples=1e8, data_dir='',\n n_isolated=5, n_stick=0, n_hinge=0):\n self.partition = partition\n ... | [
[
"torch.cat",
"numpy.array",
"torch.arange",
"numpy.load",
"torch.LongTensor",
"torch.zeros_like",
"torch.Tensor"
]
] |
Rodrigo-Flo/Kratos | [
"f718cae5d1618e9c0e7ed1da9e95b7a853e62b1b"
] | [
"applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/methodDefs_momentEstimator/powerSums.py"
] | [
"import warnings\nimport numpy as np\nfrom xmc.distributedEnvironmentFramework import (\n ExaquteTask,\n Type,\n Depth,\n COLLECTION_IN,\n INOUT,\n)\nfrom xmc.momentEstimator import (\n PowerSumsDict,\n SampleArray,\n PowerSumsDictUL,\n CombinedSampleArray,\n)\nfrom xmc.tools import flatt... | [
[
"numpy.sum",
"numpy.array",
"numpy.prod",
"numpy.tensordot"
]
] |
hkchengrex/TCN | [
"cca4c0995bc9d7bf4639adf68a75b540ca0fbc0c"
] | [
"TCN/adding_problem/add_test_lstm.py"
] | [
"import torch\nimport argparse\nimport torch.optim as optim\nimport torch.nn.functional as F\nimport sys\nsys.path.append(\"../../\")\nfrom TCN.adding_problem.model import LSTMNet\nfrom TCN.adding_problem.utils import data_generator\n\nparser = argparse.ArgumentParser(description='Sequence Modeling - The Adding Pro... | [
[
"torch.manual_seed",
"torch.no_grad",
"torch.cuda.is_available",
"torch.nn.functional.mse_loss"
]
] |
rickyHong/1Qbit-QEMIST-repl | [
"863fafdbc5bcd2c267b6a57dfa06b050aa053a6d"
] | [
"openqemist/tests/problem_decomposition/dmet/test_dmet_oneshot_loop.py"
] | [
"# Copyright 2019 1QBit\n# \n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law o... | [
[
"numpy.ndenumerate"
]
] |
decisionforce/MAIRL | [
"f8ab1552ad4e96235e70192d13bb050b8c1b68e8"
] | [
"mgail.py"
] | [
"import numpy as np\nimport tensorflow as tf\n\nimport os\nimport common\nfrom ER import ER\nfrom forward_model import ForwardModel\nfrom discriminator import Discriminator\nfrom policy import Policy\nimport ops\n\nclass MGAIL(object):\n def __init__(self, environment):\n\n self.env = environment\n\n ... | [
[
"tensorflow.exp",
"tensorflow.nn.softmax_cross_entropy_with_logits",
"tensorflow.ones_like",
"tensorflow.logical_not",
"tensorflow.zeros_like",
"tensorflow.stop_gradient",
"tensorflow.cast",
"tensorflow.shape",
"tensorflow.concat",
"numpy.log",
"tensorflow.argmax",
... |
Uornca/mirheo | [
"2ad5e9dd9f118e3998b291cbfc35ee91205bbef8"
] | [
"tests/rod/forces.py"
] | [
"#!/usr/bin/env python\n\nimport numpy as np\nimport mirheo as mir\nimport argparse\n\nparser = argparse.ArgumentParser()\nparser.add_argument('--kbounds', type=float, default=0.0)\nparser.add_argument('--ktwist', type=float, default=0.0)\nparser.add_argument('--kbending', type=float, nargs=3, default=(0.0, 0.0, 0.... | [
[
"numpy.sin",
"numpy.sqrt",
"numpy.cos"
]
] |
parkertomf/WrightTools | [
"09642b868fb51dab032470e8a6bc9c9fd5a541d4"
] | [
"examples/wmels_trive_off_diagonal.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nWMELs: TRIVE off diagonal\n=========================\n\nDraw WMELs for TRIVE off diagonal.\n\"\"\"\n\nimport matplotlib.pyplot as plt\n\nimport WrightTools.diagrams.WMEL as WMEL\n\nartist = WMEL.Artist(\n size=[6, 2], energies=[0., 0.43, 0.57, 1.], state_names=[\"g\", \"a\", \"b... | [
[
"matplotlib.pyplot.show"
]
] |
ChaoyueSong/3d-corenet | [
"cada072a2491de4e24ec49334debee4adc484281"
] | [
"models/networks/base_network.py"
] | [
"import torch.nn as nn\nfrom torch.nn import init\n\n\nclass BaseNetwork(nn.Module):\n def __init__(self):\n super(BaseNetwork, self).__init__()\n\n def print_network(self):\n if isinstance(self, list):\n self = self[0]\n num_params = 0\n for param in self.parameters():\... | [
[
"torch.nn.init.constant_",
"torch.nn.init.kaiming_normal_",
"torch.nn.init.xavier_uniform_",
"torch.nn.init.normal_",
"torch.nn.init.orthogonal_",
"torch.nn.init.xavier_normal_"
]
] |
janEbert/pytorch3d | [
"accdac80fb29e82f72d4e8e73135ba8fd790b6c0"
] | [
"tests/test_common_workaround.py"
] | [
"# Copyright (c) Meta Platforms, Inc. and affiliates.\n# All rights reserved.\n#\n# This source code is licensed under the BSD-style license found in the\n# LICENSE file in the root directory of this source tree.\n\n\nimport unittest\n\nimport numpy as np\nimport torch\nfrom common_testing import TestCaseMixin\nfro... | [
[
"torch.rand",
"torch.device",
"numpy.random.seed",
"torch.manual_seed",
"numpy.random.randint",
"torch.Tensor"
]
] |
knei-knurow/AnyNet | [
"0f726822eded48956eea6a7c9c76ae1490e8725a"
] | [
"o3d.py"
] | [
"from __future__ import (absolute_import, division, print_function, unicode_literals)\nfrom builtins import *\nimport o3d3xx\nimport numpy as np\n\n\nimageWidth = 352 \nimageHeight = 264\n\nclass GrabO3D300():\n def __init__(self, addr=\"192.168.1.240\", port=50010):\n self.format = o3d3xx.PCICFormat.blo... | [
[
"numpy.frombuffer",
"numpy.amax",
"numpy.zeros",
"numpy.double"
]
] |
jhonatantirado/CheXNet-Keras | [
"264fd4ba889fe8d9f5dee48b4ba3f7c0018aa393"
] | [
"predict.py"
] | [
"from keras.models import load_model\nfrom keras.preprocessing import image\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport os\nfrom configparser import ConfigParser\nfrom models.keras import ModelFactory\nimport tensorflow as tf\n\n\ndef load_image(img_path, show=False):\n\n img = image.load_img(im... | [
[
"tensorflow.argmax",
"tensorflow.keras.backend.eval",
"numpy.expand_dims",
"matplotlib.pyplot.show",
"matplotlib.pyplot.axis",
"matplotlib.pyplot.imshow"
]
] |
devlibx/mlflowx | [
"291c51161ec26450b1e79c8e4a32af960da79591"
] | [
"mlflow/tracking/fluent.py"
] | [
"\"\"\"\nInternal module implementing the fluent API, allowing management of an active\nMLflow run. This module is exposed to users at the top-level :py:mod:`mlflow` module.\n\"\"\"\nimport os\n\nimport atexit\nimport time\nimport logging\nimport inspect\nfrom packaging.version import Version\nfrom typing import An... | [
[
"pandas.to_datetime",
"pandas.DataFrame"
]
] |
peterdhansen/shapash | [
"d2a5e466450e8bef1e2eac055d78773747244489"
] | [
"shapash/decomposition/contributions.py"
] | [
"\"\"\"\nContributions\n\"\"\"\n\nimport pandas as pd\nimport numpy as np\nfrom shapash.utils.transform import preprocessing_tolist\nfrom shapash.utils.transform import check_transformers\nfrom shapash.utils.category_encoder_backend import calc_inv_contrib_ce\nfrom shapash.utils.columntransformer_backend import cal... | [
[
"pandas.DataFrame",
"numpy.take_along_axis",
"numpy.abs"
]
] |
KamilDeja/PyTorch-VAE | [
"7782de94bb3f0f11957932bdf2aacc307e8a12ff"
] | [
"evaluation_models/inception.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torchvision\nimport os\n\ntry:\n from torchvision.models.utils import load_state_dict_from_url\nexcept ImportError:\n from torch.utils.model_zoo import load_url as load_state_dict_from_url\n\n# Inception weights ported to Pytorch fr... | [
[
"torch.cat",
"torch.nn.functional.avg_pool2d",
"torch.nn.ModuleList",
"torch.nn.MaxPool2d",
"torch.nn.Sequential",
"torch.save",
"torch.nn.functional.interpolate",
"torch.utils.model_zoo.load_url",
"torch.load",
"torch.nn.AdaptiveAvgPool2d",
"torch.nn.functional.max_poo... |
vinicius-pirees/phaino | [
"4aa720505fef55b416149df664c4a8787e1491e5"
] | [
"phaino/models/gaussian.py"
] | [
"import os\nimport numpy as np\nimport scipy\nfrom numpy import inf\nfrom phaino.utils.spatio_temporal_gradient_features import process_frames\nfrom phaino.utils.commons import frame_to_gray, reduce_frame\nimport pickle\nfrom datetime import datetime\nfrom phaino.config.config import PhainoConfiguration\n\nconfig =... | [
[
"numpy.array",
"numpy.nan_to_num",
"numpy.log",
"numpy.sum",
"numpy.exp",
"numpy.mean",
"numpy.sqrt"
]
] |
EthanVn/MotifX | [
"4258ac72823bdc335f4f3d01fd03c8dc495e14ec"
] | [
"motifx/motifx.py"
] | [
"from scipy.sparse import csr_matrix, csc_matrix, lil_matrix\nfrom .cache import Cache\nimport numpy as np\n\n\nclass MotifX(object):\n def __init__(self, matrix, reformat=True, dtype=np.int32):\n self.cache = Cache(matrix, reformat, dtype)\n\n def M1(self) -> (csr_matrix, dict):\n UT_csr: csr_m... | [
[
"scipy.sparse.lil_matrix",
"numpy.array",
"numpy.intersect1d"
]
] |
DanShai/kivy-graph | [
"6537901d521247a13e186aaa8ecbaffdffdaf7ea"
] | [
"graph_plots/Data/data.py"
] | [
"'''\n\n@author: dan\n'''\nfrom __future__ import division\n\nimport numpy as np\n\nfrom random import randint\n\nfrom copy import deepcopy\nfrom sklearn.datasets import make_moons, make_circles, make_classification\nfrom sklearn.preprocessing import MinMaxScaler\n\n\nclass Adata(object):\n\n def make2DDatas(sel... | [
[
"numpy.array",
"numpy.random.randint",
"numpy.sort",
"sklearn.preprocessing.MinMaxScaler",
"sklearn.datasets.make_circles",
"numpy.cos",
"numpy.linspace",
"sklearn.datasets.make_moons",
"sklearn.datasets.make_classification"
]
] |
wuguikel/DCFANet | [
"3d6a7d767f89b7c95692d89bfb2951aeca2740f6"
] | [
"mmdet/models/dense_heads/gfl_head_fixlastscale.py"
] | [
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom mmcv.cnn import ConvModule, Scale, bias_init_with_prob, normal_init\nfrom mmcv.runner import force_fp32\n\nfrom mmdet.core import (anchor_inside_flags, bbox2distance, bbox_overlaps,\n build_assigner, build_sampler, di... | [
[
"torch.cat",
"torch.stack",
"torch.nn.ModuleList",
"torch.split",
"torch.linspace",
"torch.nn.Conv2d",
"torch.tensor",
"torch.zeros_like"
]
] |
raghuslash/3D-BoundingBox | [
"8969f18ab585af1e2da0e6deae0f1cc72ce289e1"
] | [
"Run.py"
] | [
"\"\"\"\nImages must be in ./Kitti/testing/image_2/ and camera matricies in ./Kitti/testing/calib/\n\nUses YOLO to obtain 2D box, PyTorch to get 3D box, plots both\n\nSPACE bar for next image, any other key to exit\n\"\"\"\n\n\nfrom torch_lib.Dataset import *\nfrom library.Math import *\nfrom library.Plotting impor... | [
[
"numpy.concatenate",
"torch.zeros",
"numpy.copy",
"numpy.argmax",
"numpy.arctan2",
"torch.load"
]
] |
ShahRutav/dmcontrol-generalization-benchmark | [
"99365bd1d71581a67a9e7626c5ac676450c158a9"
] | [
"src/train.py"
] | [
"import torch\nimport os\nimport numpy as np\nimport gym\nimport utils\nimport time\nfrom arguments import parse_args\nfrom env.wrappers import make_env\nfrom algorithms.factory import make_agent\nfrom logger import Logger\nfrom video import VideoRecorder\n\n\ndef evaluate(env, agent, video, num_episodes, L, step, ... | [
[
"torch.cuda.is_available",
"numpy.mean"
]
] |
kuchaale/grl_2020 | [
"ddeca6955e6435c38d18be6ebca874fa037142b3"
] | [
"code/ssw_composite_cmam_optimized2-wss_hotspots.py"
] | [
"import xarray as xr\nimport sys\nimport pandas as pd\nimport glob\nfrom scipy import stats\nimport xarray.ufuncs as xrf\nfrom itertools import product\nfrom cftime import DatetimeNoLeap\n#from dask.distributed import Client\n\n#client = Client(set_as_default = True)\n\ndef open_date_file(file_path):\n df = pd.r... | [
[
"pandas.to_datetime",
"pandas.read_csv"
]
] |
rishabh-bhargava/great_expectations | [
"e3ce2d094536a2bc738f92e5686005390d694105"
] | [
"great_expectations/expectations/expectation.py"
] | [
"import logging\nimport re\nimport traceback\nfrom abc import ABC, ABCMeta, abstractmethod\nfrom collections import Counter\nfrom copy import deepcopy\nfrom inspect import isabstract\nfrom typing import Dict, List, Optional, Tuple\n\nimport pandas as pd\n\nfrom great_expectations import __version__ as ge_version\nf... | [
[
"pandas.DataFrame"
]
] |
Gustoaxel/Statistical-autoencoder | [
"f3328f9c2a45ef0f7fe4adf98af4a64d02d34afc"
] | [
"Script_PLSDA_RF_SVM.py"
] | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCopyright I3S CNRS UCA \n\nThis code is an implementation of the other methods used for comparison in the article :\n An efficient diagnostic that uses the latent space of a Non-Parametric Supervised Autoencoder \nfor metabolomic datasets of clinical studies.\n\nParameters : \n ... | [
[
"sklearn.cross_decomposition.PLSRegression",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.title",
"numpy.mean",
"matplotlib.pyplot.figure",
"sklearn.preprocessing.scale",
"matplotlib.pyplot.show",
"matplotlib.pyplot.ylabel",
"pandas.concat",
"matplotlib.pyplot.scatter",
... |
jakobmoss/tsa | [
"ce67c67b03c19d0e5ceec568e95d0f16860b4efe"
] | [
"utils/makeweights.py"
] | [
"# -*- coding: utf-8 -*-\n\n# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n# Time Series Analysis -- Generate statistical weigts from scatter\n#\n# Author: Jakob Rørsted Mosumgaard\n# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n#################... | [
[
"numpy.square",
"numpy.loadtxt",
"numpy.transpose",
"numpy.divide"
]
] |
zwj2017-NK/NKAMG | [
"9a90a62ab86954b566b3703e3c2aa4587dc42ee4"
] | [
"ipPanel/app/views.py"
] | [
"from flask import render_template\nfrom flask.ext.appbuilder.models.sqla.interface import SQLAInterface\nfrom flask.ext.appbuilder import ModelView, BaseView, expose, has_access\nfrom app import appbuilder, db\n\nimport pandas as pd\nimport json\n\n\"\"\"\n Create your Views::\n\n\n class MyModelView(ModelVi... | [
[
"pandas.read_csv"
]
] |
Akira794/PreviewController-python | [
"7b822870680988a2ab28a2177963a14c9b27f291"
] | [
"curve_fitting.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\nimport numpy as np # Numerical library\nfrom scipy import * # Load the scipy functions\nfrom control.matlab import * # Load the controls systems library\nfrom matplotlib import pyplot as plt\n\nclass CurveFitting():\n\n def __init__(... | [
[
"numpy.linalg.solve",
"numpy.power",
"numpy.zeros"
]
] |
mnicely/cupy | [
"9ed1d0db1404e9baa3c139032515d6028078bc91",
"9ed1d0db1404e9baa3c139032515d6028078bc91"
] | [
"cupy/__init__.py",
"tests/cupyx_tests/test_time.py"
] | [
"import functools\nimport sys\nimport warnings\n\nimport numpy\n\nfrom cupy import _environment\nfrom cupy import _version\n\n\nif sys.platform.startswith('win32') and (3, 8) <= sys.version_info: # NOQA\n _environment._setup_win32_dll_directory() # NOQA\n\n\ntry:\n with warnings.catch_warnings():\n w... | [
[
"numpy.result_type",
"numpy.asarray",
"numpy.binary_repr",
"numpy.can_cast",
"numpy.isscalar",
"numpy.base_repr",
"numpy.dtype"
],
[
"numpy.array"
]
] |
hhuuggoo/neurips2021_multimodal_viash | [
"f17af09a34ecac6309bcd7b5f8f5122e09318e0c",
"f17af09a34ecac6309bcd7b5f8f5122e09318e0c"
] | [
"src/joint_embedding/metrics/ari/test.py",
"src/match_modality/methods/dummy_constant/script.py"
] | [
"from os import path\nimport subprocess\nimport anndata as ad\n# import pandas as pd\nimport numpy as np\n\nnp.random.seed(42)\n\nmetric = 'ari'\n# metric_file = metric + '.tsv'\nmetric_file = metric + '.h5ad'\n\nprint(\">> Running script\")\nout = subprocess.check_output([\n \"./\" + metric,\n \"--input_pred... | [
[
"numpy.random.seed"
],
[
"numpy.ones"
]
] |
robot-ronny/rr-raspbian | [
"08d08797cab752dcf8a0130ca0ba1abe864c1d70"
] | [
"camera/cam_test.py"
] | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\nimport time\nimport cv2\nimport numpy as np\nimport click\nimport click_log\nimport logging\nfrom imutils.video import VideoStream\n\nlogging.basicConfig(format='%(asctime)s %(message)s')\n\ndef nothing(x):\n pass\n\n\n@click.command()\n@click.option('--video', r... | [
[
"numpy.uint8",
"numpy.array"
]
] |
Nono17/AIOPS-Anomaly-Detection | [
"1bfc49ccf1c1c852a45a8e4606a9a73550184005",
"1bfc49ccf1c1c852a45a8e4606a9a73550184005"
] | [
"KPIAnomaly/model_bagel/testing.py",
"LogAnomaly/logdeep/tools/train.py"
] | [
"import model_bagel\nimport numpy as np\n\nfrom sklearn.metrics import precision_recall_curve\nfrom typing import Sequence, Tuple, Dict, Optional\n\n\ndef _adjust_scores(labels: np.ndarray,\n scores: np.ndarray,\n delay: Optional[int] = None,\n inplace: bool = F... | [
[
"numpy.max",
"sklearn.metrics.precision_recall_curve",
"numpy.copy",
"numpy.shape",
"numpy.where",
"numpy.argmax",
"numpy.clip",
"numpy.maximum"
],
[
"pandas.DataFrame",
"torch.save",
"torch.no_grad",
"torch.utils.data.DataLoader",
"torch.load",
"torch.n... |
wwarriner/unsupervised_onh_histo | [
"48ec23781af203a14ff590f3074a2d3559957560"
] | [
"inc/python_image_utilities/test/image_util_test.py"
] | [
"import unittest\nfrom pathlib import PurePath, Path\nfrom math import ceil\n\nimport numpy as np\n\nfrom image_util import *\n\n\nclass Test(unittest.TestCase):\n def setUp(self):\n self.side_len = np.iinfo(np.uint8).max\n self.base_shape = (self.side_len, self.side_len)\n\n self.rgb = np.m... | [
[
"numpy.concatenate",
"numpy.array",
"numpy.zeros",
"numpy.round",
"numpy.stack",
"numpy.indices",
"numpy.iinfo"
]
] |
yeongjoon/NER | [
"d2c93597726ed9507bfddea9197007d30aeaad8b"
] | [
"SKTBert/data_loader.py"
] | [
"# coding=utf-8\r\n# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.\r\n# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.\r\n#\r\n# Licensed under the Apache License, Version 2.0 (the \"License\");\r\n# you may not use this file except in compliance with the License.\... | [
[
"torch.save",
"torch.tensor",
"torch.load",
"torch.distributed.barrier",
"torch.utils.data.TensorDataset"
]
] |
ChenYizhu97/BRITS | [
"79dda68d3d76b6a0e49caa1a3a6f2bb837b8c959"
] | [
"input_process.py"
] | [
"# coding: utf-8\n\nimport os\nimport re\nimport numpy as np\nimport pandas as pd\nimport pandas.io.json as json\n\npatient_ids = []\n\nfor filename in os.listdir('./raw'):\n # the patient data in PhysioNet contains 6-digits\n match = re.search('\\d{6}', filename)\n if match:\n id_ = match.group()\n... | [
[
"numpy.array",
"numpy.isnan",
"numpy.nan_to_num",
"pandas.DataFrame",
"numpy.ones",
"pandas.io.json.dumps",
"pandas.read_csv"
]
] |
allen860614/NTU_ML | [
"15373e39ea3fe02d48abffd7dbd2ac2f1dacea55",
"15373e39ea3fe02d48abffd7dbd2ac2f1dacea55"
] | [
"hw1/hw1_18.py",
"hw3/hw3_14.py"
] | [
"import numpy as np\nimport random\n\n# load data set\ndata = np.loadtxt(\"hw1_train.dat.txt\")\n\n# set sign()\ndef sign(x):\n if x > 0:\n return 1\n else:\n return -1\n\n\nresult = []\n\ndef PLA(): # PLA algorithm\n num = 11 # the vector length\n end = 0 # check whether finish ... | [
[
"numpy.median",
"numpy.loadtxt",
"numpy.dot",
"numpy.multiply"
],
[
"numpy.dot",
"numpy.hsplit",
"numpy.loadtxt",
"numpy.hstack",
"numpy.mat"
]
] |
Acemyzoe/gesture-classifier | [
"3f83ff86e61c6f99ef762c2e146ab326c2f86e2d"
] | [
"demo:v1/gesture_model.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nimport tensorflow as tf\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, Dropout, Activation, Flatten\nfrom tensorflow.keras.layers import Conv2D, MaxPooling2D\nfrom keras.utils import np_utils\nimport numpy as np\nimport os... | [
[
"tensorflow.keras.layers.Activation",
"tensorflow.keras.layers.Dense",
"tensorflow.keras.models.Sequential",
"matplotlib.pyplot.bar",
"matplotlib.pyplot.xticks",
"sklearn.utils.shuffle",
"tensorflow.keras.layers.Conv2D",
"numpy.expand_dims",
"numpy.array",
"matplotlib.pyplo... |
AlfredNeverKog/BrainCarya | [
"2ee065a1fbface0c993c3ddfd0ca2cea236bbad5"
] | [
"src/my/kadenze/lesson1/GaussianTF.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt\nimport tensorflow as tf\nsess = tf.InteractiveSession() #open eval\n\n\nsigma = 3.0\nmean = 0\n\ndef gaus(x):\n y = (1 / (sigma * tf.sqrt(2.0 * 3.14))) * tf.exp(tf.neg((tf.pow(x - mean, 2.0)) / (2 * tf.pow(sigma, 2.0))))\n return y\ndef geus2d():\n x = ... | [
[
"tensorflow.linspace",
"tensorflow.reshape",
"matplotlib.pyplot.figure",
"tensorflow.sqrt",
"matplotlib.pyplot.show",
"tensorflow.pow",
"matplotlib.pyplot.axes",
"tensorflow.InteractiveSession"
]
] |
oplatek/nltk | [
"7216fb5aac79153c14015a5a234d34c2327c3188"
] | [
"nltk/parse/transitionparser.py"
] | [
"# Natural Language Toolkit: Arc-Standard and Arc-eager Transition Based Parsers\n#\n# Author: Long Duong <longdt219@gmail.com>\n#\n# Copyright (C) 2001-2015 NLTK Project\n# URL: <http://nltk.org/>\n# For license information, see LICENSE.TXT\n\nimport tempfile\nimport pickle\n\nfrom os import remove\nfrom copy impo... | [
[
"numpy.array",
"sklearn.datasets.load_svmlight_file",
"sklearn.svm.SVC"
]
] |
ratschlab/circEWS | [
"1e52880c268f8f763bbc16763131634ffc217153",
"1e52880c268f8f763bbc16763131634ffc217153"
] | [
"circews/classes/label_gen.py",
"shapelet_features/shapelets/train_test_split.py"
] | [
"''' \nClass wrapper for label generation, transforming an input data-frame with endpoints and\nan input data-frame with imputed data to a Pandas data-frame\nwith labels\n'''\n\nimport os\nimport sys\nimport os.path\nimport ipdb\n\nimport numpy as np\nimport scipy as sp\nimport pandas as pd\n\nimport circews.functi... | [
[
"pandas.DataFrame",
"numpy.array",
"numpy.unique"
],
[
"pandas.to_datetime",
"pandas.read_csv",
"pandas.to_numeric"
]
] |
quanghm/pandas | [
"4441b3361998168a9f3621aae067a9d5b050516d"
] | [
"pandas/tests/io/excel/test_writers.py"
] | [
"from datetime import date, datetime, timedelta\nfrom functools import partial\nfrom io import BytesIO\nimport os\n\nimport numpy as np\nimport pytest\n\nfrom pandas.compat import PY36\nimport pandas.util._test_decorators as td\n\nimport pandas as pd\nfrom pandas import DataFrame, Index, MultiIndex, get_option, set... | [
[
"pandas.util.testing.makeCustomDataframe",
"pandas.io.excel.ExcelFile",
"pandas.read_excel",
"pandas.Timestamp",
"pandas.util.testing.ensure_clean",
"pandas.util._test_decorators.safe_import",
"pandas.set_option",
"pandas.io.excel.register_writer",
"pandas.DataFrame",
"nump... |
KathaRies/MeshCNN | [
"be73736890c49d175cde80830a28352946e23611",
"be73736890c49d175cde80830a28352946e23611"
] | [
"models/layers/mesh_pool.py",
"models/layers/mesh_unpool.py"
] | [
"import torch\nimport torch.nn as nn\nfrom threading import Thread\nfrom MeshCNN.models.layers.mesh_union import MeshUnion\nimport numpy as np\nfrom heapq import heappop, heapify\n\n\nclass MeshPool(nn.Module):\n\n def __init__(self, target, multi_thread=False):\n super(MeshPool, self).__init__()\n ... | [
[
"torch.cat",
"numpy.ones",
"torch.arange",
"torch.sum"
],
[
"torch.nn.ConstantPad2d",
"torch.nn.ConstantPad1d",
"torch.cat",
"torch.matmul"
]
] |
mbeacom/aws-data-wrangler | [
"2e018ec3d0d2eaf073f759be65cfd75ee2bdce10"
] | [
"awswrangler/_utils.py"
] | [
"\"\"\"Internal (private) Utilities Module.\"\"\"\n\nimport logging\nimport math\nimport os\nfrom typing import Any, Dict, Generator, List, Optional, Tuple\n\nimport boto3 # type: ignore\nimport botocore.config # type: ignore\nimport numpy as np # type: ignore\nimport psycopg2 # type: ignore\nimport s3fs # typ... | [
[
"numpy.array_split"
]
] |
junxnone/aerial_wildlife_detection | [
"0eebed2aaf926ceb212b6a2b7a75bb0a82b28a88",
"0eebed2aaf926ceb212b6a2b7a75bb0a82b28a88"
] | [
"ai/models/pytorch/boundingBoxes/retinanet.py",
"ai/models/pytorch/functional/_wsodPoints/collation.py"
] | [
"'''\n RetinaNet trainer for PyTorch.\n\n 2019-20 Benjamin Kellenberger\n'''\n\nimport io\nimport json\nfrom tqdm import tqdm\nimport torch\nfrom torch.utils.data import DataLoader\n\nfrom ..genericPyTorchModel import GenericPyTorchModel\nfrom .. import parse_transforms\n\nfrom ..functional._retinanet import ... | [
[
"torch.cuda.manual_seed",
"torch.isnan",
"torch.max",
"torch.no_grad",
"torch.clamp",
"torch.manual_seed",
"torch.cuda.empty_cache",
"torch.utils.data.DataLoader",
"torch.isinf"
],
[
"torch.stack",
"torch.tensor"
]
] |
ATayls/DnaFeaturesViewer | [
"6ace5cdff96bf995aa26167868b0dbb47f5f5952"
] | [
"dna_features_viewer/GraphicRecord/BokehPlottableMixin.py"
] | [
"try:\n from bokeh.plotting import figure, ColumnDataSource\n from bokeh.models import Range1d, HoverTool\n\n BOKEH_AVAILABLE = True\nexcept ImportError:\n BOKEH_AVAILABLE = False\n\ntry:\n import pandas as pd\n\n PANDAS_AVAILABLE = True\nexcept ImportError:\n PANDAS_AVAILABLE = False\n\nimport... | [
[
"matplotlib.pyplot.close"
]
] |
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