repo_name stringlengths 6 130 | hexsha list | file_path list | code list | apis list |
|---|---|---|---|---|
mapa17/Computational_Neuroscience_Homework | [
"b358a7cce935ac0b679748c289d3476c63e3f2f0"
] | [
"L5/intfire_noise.py"
] | [
"from __future__ import print_function\n\"\"\"\nCreated on Wed Apr 22 16:02:53 2015\n\nBasic integrate-and-fire neuron \nR Rao 2007\n\ntranslated to Python by rkp 2015\n\"\"\"\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport sys\n\n\n# input current\nI = 1 # nA\n\n# capacitance and leak resistance\nC ... | [
[
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.hist",
"numpy.random.normal",
"matplotlib.pyplot.show"
]
] |
ChandraKent/web-scraping-challenge | [
"1ee824d633caee6a014863e2f00a79753158eadd"
] | [
"scrape_mars.py"
] | [
"from splinter import Browser\nfrom bs4 import BeautifulSoup\nimport pandas as pd \nimport datetime as dt \n\ndef init_browser():\n executable_path = {\"executable_path\": \"/usr/local/bin/chromedriver\"}\n # return Browser(\"chrome\", executable_path, headless=False)\n return Browser(\"chrome\", **executa... | [
[
"pandas.read_html"
]
] |
tacorna/taco | [
"eeaeb879b8622365123edbc61ebc100d84194b80"
] | [
"taco/test/test_change_point.py"
] | [
"'''\nTACO: Multi-sample transcriptome assembly from RNA-Seq\n'''\nimport os\nimport numpy as np\nimport h5py\nimport matplotlib.pyplot as plt\n\nfrom taco.lib.base import Strand, Exon\nfrom taco.lib.dtypes import FLOAT_DTYPE\nfrom taco.lib.splice_graph import SpliceGraph\nfrom taco.lib.path_graph import PathGraphF... | [
[
"numpy.allclose",
"numpy.random.random",
"numpy.zeros"
]
] |
joehandzik/dlcookbook-dlbs | [
"7c5ca5a6dfa4e2f7b8b4d81c60bd8be343dabd30"
] | [
"python/pytorch_benchmarks/models/alexnet.py"
] | [
"# (c) Copyright [2017] Hewlett Packard Enterprise Development LP\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 re... | [
[
"torch.nn.Linear",
"torch.nn.Dropout",
"torch.nn.MaxPool2d",
"torch.nn.ReLU",
"torch.nn.Conv2d",
"torch.nn.LocalResponseNorm"
]
] |
nahian01/HDPS | [
"791d0adfb8e68b96e8cf49a6e6cbeaa290d3baa9"
] | [
"new/test1.py"
] | [
"import numpy as np\nimport matplotlib.pyplot as plt \nimport pandas as pd\nimport seaborn as sns\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn im... | [
[
"sklearn.metrics.confusion_matrix",
"sklearn.preprocessing.StandardScaler",
"matplotlib.pyplot.xlabel",
"sklearn.neighbors.KNeighborsClassifier",
"matplotlib.pyplot.legend",
"sklearn.metrics.accuracy_score",
"matplotlib.pyplot.scatter",
"matplotlib.pyplot.ylabel",
"sklearn.mode... |
teecha/Autonomous_Tello_Drone | [
"b7fd20f3eb830bf5387dba1579c041975348de14"
] | [
"Yello/headers.py"
] | [
"#header to convert outputs of model into boxes, scores, classes, valid \n\nimport tensorflow as tf\nimport numpy as np\n\ndef YoloV4Header(num_classes, anchorlist, mask, strides,\n max_outputs, iou_threshold, score_threshold,inputs):\n boxes, objects, classes = [], [], []\n dtype = inputs[0].... | [
[
"tensorflow.exp",
"tensorflow.shape",
"tensorflow.range",
"tensorflow.concat",
"tensorflow.sigmoid",
"tensorflow.reshape",
"tensorflow.image.combined_non_max_suppression",
"tensorflow.stack",
"tensorflow.split",
"tensorflow.cast"
]
] |
cuifc1997/nuscene-study | [
"f3594b967cbf42396da5c6cb08bd714437b53111"
] | [
"python-sdk/nuscenes/eval/detection/render.py"
] | [
"# nuScenes dev-kit.\n# Code written by Holger Caesar, Varun Bankiti, and Alex Lang, 2019.\n\nimport json\n\nimport numpy as np\nfrom matplotlib import pyplot as plt\n\nfrom nuscenes import NuScenes\nfrom nuscenes.eval.detection.constants import TP_METRICS, DETECTION_NAMES, DETECTION_COLORS, TP_METRICS_UNITS, \\\n ... | [
[
"numpy.isnan",
"numpy.minimum",
"numpy.sum",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.title",
"matplotlib.pyplot.close",
"matplotlib.pyplot.subplots",
"numpy.eye",
"matplotlib.pyplot.tight_layout",
"matplotlib.pyplot.show",
"matplotlib.pyplot.subplot"
]
] |
hamzaehsan97/speechRecognition | [
"1d4a7a7ed70326cebf796031cbbb8e23225356e6"
] | [
"Record/record.py"
] | [
"import sounddevice as sd\nfrom scipy.io.wavfile import write\nfrom predictProcess import *\nimport keras\nfrom keras.models import Sequential\nfrom keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D, LSTM\nfrom keras.utils import to_categorical\nimport wandb\nfrom wandb.keras import WandbCallback\nf... | [
[
"scipy.io.wavfile.write"
]
] |
willmaclean/MedCAT | [
"528a4765acbdf04acf8a8bd90a4f19bc1e3e33c3"
] | [
"medcat/neo/data_preparation.py"
] | [
"import os\nimport pandas as pd\n\n\ndef get_index_queries():\n r''' Run before everything to speed up things\n '''\n return ['CREATE INDEX patientId FOR (p:Patient) ON (p.patientId);',\n 'CREATE INDEX conceptId FOR (c:Concept) ON (c.conceptId);',\n 'CREATE INDEX documentId FOR (d:Doc... | [
[
"pandas.read_csv"
]
] |
brucebcampbell/nlp-modelling | [
"b6e5b6c5b2df7cc20e7de68f32d164981353aaf9"
] | [
"pytma/Predict.py"
] | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\n\n##Text Classification Model using TF-IDF.\n#First, import the MultinomialNB module and create a Multinomial Naive Bayes classifier object using MultinomialNB() function.\n\nfrom __future__ import print_function\n\nimport logging\nimport sys\nfrom optparse import ... | [
[
"matplotlib.pyplot.text",
"sklearn.metrics.confusion_matrix",
"sklearn.neighbors.NearestCentroid",
"sklearn.linear_model.Perceptron",
"sklearn.svm.LinearSVC.predict",
"sklearn.feature_selection.SelectKBest",
"sklearn.metrics.f1_score",
"sklearn.svm.LinearSVC",
"numpy.max",
... |
pedroperrusi/deep-learning-for-robotics | [
"ebb5324f4935110bed4813719cdc1523092bde00"
] | [
"Class02/robotic_arm_incomplete/env_sim/approx_inv_kin_nn.py"
] | [
"'''\nThis simulation executes a trained neural network that approximates the\nclosed form solution given by 2 axis inv kin\n'''\nfrom __future__ import division\n\nimport numpy as np\nimport contextlib\nwith contextlib.redirect_stdout(None):\n import pygame\nimport pygame.locals\nimport sys\nimport os\nimport t... | [
[
"numpy.sin",
"numpy.asarray",
"torch.no_grad",
"torch.cuda.is_available",
"torch.load",
"numpy.cos"
]
] |
eleurent/openai-bots | [
"a8f7311ca442f4dcc548abb4b1c268b0fbbd758d"
] | [
"scripts/planners_evaluation.py"
] | [
"\"\"\"Usage: planners_evaluation.py [options]\n\nCompare performances of several planners\n\nOptions:\n -h --help\n --generate <true or false> Generate new data [default: True].\n --show <true_or_false> Plot results [default: True].\n --directory <path> Specify directory path [default: ./out/pla... | [
[
"pandas.DataFrame.from_records",
"numpy.sum",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.subplots",
"numpy.random.randint",
"numpy.sort",
"numpy.arange"
]
] |
Mu-L/dask | [
"1c5bf017429de6a85860eb7a5aa6238e34a4b0e0"
] | [
"dask/array/tests/test_array_core.py"
] | [
"import contextlib\nimport copy\nimport pathlib\nimport xml.etree.ElementTree\nfrom unittest import mock\n\nimport pytest\n\nnp = pytest.importorskip(\"numpy\")\n\nimport operator\nimport os\nimport time\nimport warnings\nfrom functools import reduce\nfrom io import StringIO\nfrom operator import add, sub\nfrom thr... | [
[
"numpy.nancumsum",
"numpy.nancumprod"
]
] |
ZhaoYilin/moha | [
"d701fd921839474380982db1478e66f0dc8cbd98"
] | [
"moha/system/wavefunction/ci_wavefunction.py"
] | [
"from moha.system.wavefunction.base import BaseWaveFunction\nfrom moha.system.basis_set.ci_basis_set import CIBasisSet\nimport numpy as np \n\nclass CIWaveFunction(BaseWaveFunction):\n \"\"\"Configuration interaction wavefunction class.\n\n Attributes\n ----------\n nelec : int\n Number of electr... | [
[
"numpy.zeros"
]
] |
AadSah/fixmatch | [
"e72e8a1b8a9e73fd985c5009cd8cb70f33e85af0"
] | [
"scripts/create_unlabeled.py"
] | [
"#!/usr/bin/env python\n\n# Copyright 2019 Google LLC\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# https://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by ... | [
[
"numpy.zeros",
"tensorflow.compat.v1.gfile.Open",
"tensorflow.compat.v1.disable_eager_execution",
"tensorflow.compat.v1.gfile.Exists",
"tensorflow.compat.v1.Session",
"tensorflow.compat.v1.io.FixedLenFeature",
"tensorflow.compat.v1.data.TFRecordDataset",
"tensorflow.compat.v1.pytho... |
SH4DY/amazon-forecast-samples | [
"f6f4e2e80df1c41cb50568e62b78bb6f8449f052"
] | [
"notebooks/common/util/fcst_utils.py"
] | [
"import time\nimport json\nimport gzip\n\nimport boto3\nimport botocore.exceptions\n\nimport pandas as pd\nimport matplotlib.pyplot as plt\n\nimport util.notebook_utils\n\n\ndef wait_till_delete(callback, check_time = 5, timeout = None):\n\n elapsed_time = 0\n while timeout is None or elapsed_time < timeout:\... | [
[
"pandas.DataFrame",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"pandas.Timestamp",
"matplotlib.pyplot.fill_between",
"pandas.read_csv",
"matplotlib.pyplot.xticks"
]
] |
Ovakefali13/pyiron_base | [
"84a9b0c46dab434a7f7c14f987392f6fede68317"
] | [
"pyiron_base/database/filetable.py"
] | [
"import numpy as np\nimport os\nimport pandas\nimport datetime\nimport h5io\nfrom pyfileindex import PyFileIndex\nfrom pyiron_base.generic.util import Singleton\nfrom pyiron_base.database.generic import IsDatabase\n\n\ndef filter_function(file_name):\n return \".h5\" in file_name\n\n\nclass FileTable(IsDatabase,... | [
[
"numpy.max",
"pandas.DataFrame",
"numpy.array",
"pandas.concat"
]
] |
almostzero/nlp_3d | [
"dbbee72773b78199d1e8a957bfa4bae1eeee7f31"
] | [
"KOR_3D/kor3d.py"
] | [
"import numpy as np\nfrom .LETTERS import kor_phonemes, kor_re, eng_phonemes, eng_re\nimport numpy as np\n\n\n# 일본어는 나중에\n# https://m.blog.naver.com/PostView.nhn?blogId=aoba8615&logNo=140012660052&proxyReferer=https:%2F%2Fwww.google.com%2F\n\n\ndef check_encodings(string):\n \"\"\"\n 문자열의 인코딩을 확인하는 함수\n 문자... | [
[
"numpy.array"
]
] |
wsavran/csep2 | [
"daf44c8c31badf8474794a32f89f2c44dcbe1f61"
] | [
"tests/test_JmaCsvCatalog.py"
] | [
"import unittest\nimport csep\n\n\nimport os.path\n\nimport numpy\n\ndef get_datadir():\n root_dir = os.path.dirname(os.path.abspath(__file__))\n data_dir = os.path.join(root_dir, 'artifacts', 'JMA-observed_catalog')\n return data_dir\n\ndef test_JmaCsvCatalog_loading():\n datadir = get_datadir()\n c... | [
[
"numpy.ndarray",
"numpy.testing.assert_allclose"
]
] |
oscarlazoarjona/orca_memories | [
"43920dae63d1d3d27028f8e9e3bb69c37c297d40"
] | [
"orca_memories/misc.py"
] | [
"# -*- coding: utf-8 -*-\n# Compatible with Python 3.8\n# Copyright (C) 2020-2021 Oscar Gerardo Lazo Arjona\n# mailto: oscar.lazoarjona@physics.ox.ac.uk\nr\"\"\"Miscellaneous routines.\"\"\"\nimport numpy as np\nimport warnings\nfrom scipy.interpolate import interp1d\nfrom numpy import sinc as normalized_sinc\nfrom... | [
[
"scipy.special.gamma",
"numpy.exp",
"numpy.sinc",
"numpy.where",
"numpy.fft.fftfreq",
"numpy.sin",
"numpy.log",
"numpy.sqrt",
"numpy.array",
"scipy.interpolate.interp1d",
"numpy.zeros",
"numpy.fft.ifftshift",
"numpy.real",
"numpy.amax",
"numpy.amin",
... |
CUAI/Differentiable-Frechet-Mean | [
"c73f9e8d0969a727043d3d2a07af6392fdc802af"
] | [
"frechetmean/manifolds/ball.py"
] | [
"import torch\n\nfrom .manifold import Manifold\nfrom frechetmean.utils import EPS, cosh, sinh, tanh, arcosh, arsinh, artanh, sinhdiv, divsinh\n\n\nclass Poincare(Manifold):\n def __init__(self, K=-1.0, edge_eps=1e-3):\n super(Poincare, self).__init__()\n self.edge_eps = 1e-3\n assert K < 0\... | [
[
"torch.zeros",
"torch.is_tensor",
"torch.tensor",
"torch.zeros_like",
"torch.where"
]
] |
danijar/bridgewalk | [
"fcfe055268c77b4bc9bc6eb7fe8d7243ca5617f9",
"fcfe055268c77b4bc9bc6eb7fe8d7243ca5617f9"
] | [
"bridgewalk/objects.py",
"bridgewalk/run_random.py"
] | [
"import numpy as np\n\nfrom . import constants\n\n\nclass Object:\n\n def __init__(self, world, pos):\n self.world = world\n self.pos = np.array(pos)\n self.random = world.random\n self.health = 0\n\n @property\n def texture(self):\n raise 'unknown'\n\n @property\n def walkable(self):\n retur... | [
[
"numpy.sign",
"numpy.array",
"numpy.abs"
],
[
"numpy.random.RandomState"
]
] |
harimaruthachalam/PyTorchNNs | [
"94fe173204e18fbe5087643e3da1cd9cdd6bd2ef"
] | [
"TitanicKaggle/feedForwardNN.py"
] | [
"import torch\nimport torch.nn as nn\nimport torchvision.transforms as transforms\nimport torchvision.datasets as dsets\nfrom torch.autograd import Variable\nimport numpy as np\nimport matplotlib.pyplot as plot\nimport collections\nimport pandas as pd\n\ndef substrings_in_string(big_string, substrings):\n for i ... | [
[
"torch.nn.Linear",
"torch.max",
"torch.autograd.Variable",
"torch.nn.Sigmoid",
"torch.nn.CrossEntropyLoss",
"torch.nn.ReLU",
"torch.cuda.is_available",
"torch.tensor",
"torch.utils.data.DataLoader",
"pandas.read_csv",
"pandas.to_numeric",
"torch.utils.data.TensorDat... |
joaopfonseca/social_media_crawler | [
"3abce6c850d203805f705e82612d98abf2eb4a47"
] | [
"gui/FlaskApp/db_instagram.py"
] | [
"#!/usr/bin/env python\n\nfrom datetime import datetime\nimport os\n\n#querying\nimport pandas as pd\nimport numpy as np\n\n#plotting\n#from plotly.offline import plot #to save graphs as html files, useful when testing\nimport plotly.graph_objs as go\n\n#dashboarding\nimport dash\nimport dash_core_components as dcc... | [
[
"pandas.read_csv"
]
] |
Murphy-OrangeMud/scalabel | [
"6f2d045c7c691fc5ffc61a3c8a29676b3360542d"
] | [
"scalabel/vis/geometry.py"
] | [
"\"\"\"3D geometric functions used by the visualizer.\"\"\"\nfrom __future__ import annotations\n\nfrom dataclasses import dataclass\nfrom typing import Dict, List, Tuple, Union\n\nimport numpy as np\n\nfrom ..label.typing import Box3D\n\n\ndef rotate_vector(\n vector: np.ndarray,\n rot_x: float = 0,\n rot... | [
[
"numpy.sin",
"numpy.array",
"numpy.dot",
"numpy.median",
"numpy.ones",
"numpy.sign",
"numpy.cos"
]
] |
Rounak-Ghosh/Nifty-50 | [
"8863862eec4e6b01582204e3a37f29d485e4e090"
] | [
"main.py"
] | [
"import matplotlib.pyplot as plt\nimport numpy as np\nimport pandas as pd\n\nohlc_data = pd.read_csv('nifty-50\\SBIN.csv', index_col=0, parse_dates=True)\n\ndaily = np.array(ohlc_data)\n\nmoney = int(input('Enter amount you want to invest : '))\nrisk = int(input('Enter no of shares you want to buy/sell in each tran... | [
[
"numpy.array",
"pandas.read_csv"
]
] |
yih117/Analyzing-the-Generalization-Capability-of-SGLD-Using-Properties-of-Gaussian-Channels | [
"39b7e110d100f13b48c8d0cc2829a6bac34e550a"
] | [
"code/main.py"
] | [
"import numpy as np\r\nimport torch\r\nimport math\r\nfrom torch import nn, optim\r\nfrom torch.utils.data import DataLoader\r\nfrom torch.utils.data import SubsetRandomSampler\r\nimport importlib\r\nimport copy\r\nimport argparse\r\nfrom torchvision import transforms, datasets\r\nfrom torch.autograd import Variabl... | [
[
"torch.device",
"numpy.array",
"numpy.linalg.norm",
"numpy.empty",
"numpy.random.choice",
"torch.nn.utils.clip_grad_norm_",
"numpy.random.seed",
"torch.norm",
"numpy.load",
"numpy.mean",
"numpy.save",
"torch.cuda.is_available",
"torch.utils.data.DataLoader",
... |
haamoon/librl | [
"f9fc633b79c1bec1cd1b1a275834eb5221cffff3"
] | [
"rl/tools/normalizers/normalizer.py"
] | [
"from abc import ABC, abstractmethod\nimport numpy as np\nimport copy\nfrom rl.tools.utils.mvavg import ExpMvAvg, PolMvAvg\nfrom rl.tools.utils.misc_utils import deepcopy_from_list\n\n\nclass OnlineNormalizer(ABC):\n \"\"\"\n A normalizer that adapts to streaming observations. Given input x, it computes\n... | [
[
"numpy.square",
"numpy.array",
"numpy.zeros",
"numpy.minimum",
"numpy.ones",
"numpy.mean",
"numpy.shape",
"numpy.sqrt",
"numpy.clip",
"numpy.maximum"
]
] |
LouisWW/Computational-Finance | [
"50c99f480f83379c06310fd156ddfe048789f58d"
] | [
"Assignment 2/Binomial_tree.py"
] | [
"#!/usr/bin/env python\r\n# -*- coding: utf-8 -*-\r\n\r\n\"\"\"\r\nCreated on Friday Feb 20 2020\r\nThis code was implemented by\r\nLouis Weyland, Floris Fok and Julien Fer\r\n\"\"\"\r\n\r\n# Import built-in libs\r\nimport math\r\n\r\n# Import 3th parties libraries\r\nimport numpy as np\r\nimport matplotlib.pyplot ... | [
[
"numpy.random.normal",
"numpy.zeros",
"numpy.log",
"matplotlib.pyplot.title",
"numpy.exp",
"matplotlib.pyplot.subplots",
"numpy.arange",
"numpy.sqrt",
"matplotlib.pyplot.show",
"scipy.stats.norm.cdf"
]
] |
cleancode-for-deeplearning/semantic-segmentation | [
"d092f9f7ed8294d41cd9f6beda91a112627945b3",
"d092f9f7ed8294d41cd9f6beda91a112627945b3"
] | [
"networks/architectures/decoders.py",
"networks/architectures/base_modules.py"
] | [
"import torch\nimport torch.nn as nn\nfrom utils.network_utils import *\nfrom networks.architectures.base_modules import *\n\nclass UNetDecoder(nn.Module):\n\tdef __init__(self, opt, nf):\n\t\tsuper(UNetDecoder, self).__init__()\n\t\tic, oc, norm_type, act_type, mode = \\\n\t\t\topt.ic, opt.oc, opt.norm_type, opt.a... | [
[
"torch.zeros",
"torch.cat",
"torch.nn.BatchNorm2d",
"torch.bmm",
"torch.nn.ReLU",
"torch.nn.Conv2d",
"torch.nn.AdaptiveAvgPool2d"
],
[
"torch.cat",
"torch.nn.MaxPool2d",
"torch.nn.AvgPool2d",
"torch.nn.functional.interpolate",
"torch.nn.ConvTranspose2d",
"to... |
Perilla000leaves/timeseries | [
"451e8ceee838e56efceee6d15e8fae61e1582a15"
] | [
"ARMA.py"
] | [
"# Note: The information criteria add 1 to the number of parameters\n# whenever the model has an AR or MA term since, in principle,\n# the variance could be treated as a free parameter and restricted\n# This code does not allow this, but it adds consistency with other\n# packages such as gre... | [
[
"numpy.dot",
"scipy.signal.lfilter",
"numpy.cumsum",
"numpy.zeros_like",
"numpy.log",
"pandas.DataFrame",
"numpy.sqrt",
"numpy.ndim",
"numpy.column_stack",
"numpy.linalg.inv",
"numpy.vstack",
"numpy.array",
"scipy.optimize.fmin_l_bfgs_b",
"numpy.zeros",
... |
Linzee/tmsei_doodle | [
"b08580fe5d58f6dd614ba6f3f53a03bcd859277b"
] | [
"components/visualization/performanceUserMatrixPlot.py"
] | [
"import numpy as np\nimport pandas as pd\nimport pylab as plt\nimport components.visualization\n\nfrom components.flowUtils import annotateProgress, cached\n\nclass PerformanceUserMatrixPlot:\n\n def __init__(self, flow, orderUsers=None):\n self.flow = flow\n self.performanceMatrix = flow.getPerfor... | [
[
"numpy.array",
"numpy.isnan",
"numpy.reshape"
]
] |
ayushoriginal/Optimized-RGB-To-ColorName | [
"f86d14b751c5422ba08fd9c51bba255a274bc184"
] | [
"rgb2nearestcolor.py"
] | [
"#!/usr/bin/env python\n# rgb2colorname.py\n# by wilsonmar@gmail.com, ayush.original@gmail.com, https://github.com/paarthneekhara\n# Usage: \n# Explained in https://github.com/jetbloom/rgb2colorname/blob/master/README.md\n\nimport numpy as np\nfrom scipy import spatial\n\n\nA = np.array([ \\\n\n[240,248,255] \\\n\n... | [
[
"scipy.spatial.KDTree",
"numpy.array",
"numpy.delete"
]
] |
Rapid-Design-of-Systems-Laboratory/beluga-legacy | [
"d14713d8211b64293c4427005cf02fbd58630598"
] | [
"beluga/IndirectMethod.py"
] | [
"# from beluga.optim import *\nfrom optimalcontrol.elements import Problem\nfrom sympy import *\nfrom sympy.core.function import AppliedUndef, Function\nimport pystache, imp, inspect, logging, os\nimport re as _re\n\nimport beluga.bvpsol.BVP as BVP\n\nfrom beluga.utils import sympify, keyboard, ipsh\nfrom beluga.op... | [
[
"numpy.ones"
]
] |
XingchengLin/openawsem | [
"a9f155d72e359b76d350e6d4c2ee476410ebe4c6"
] | [
"functionTerms/templateTerms.py"
] | [
"from simtk.openmm.app import *\nfrom simtk.openmm import *\nfrom simtk.unit import *\nimport numpy as np\nimport pandas as pd\n\ndef read_reference_structure_for_q_calculation_4(oa, contact_threshold,rnative_dat, min_seq_sep=3, max_seq_sep=np.inf):\n # use contact matrix for Q calculation\n # this change use... | [
[
"numpy.array",
"numpy.zeros",
"numpy.load",
"numpy.exp",
"numpy.save",
"numpy.loadtxt",
"numpy.arange",
"numpy.savez",
"numpy.alltrue",
"pandas.read_csv"
]
] |
eyurtsev/vision | [
"44e93beb0833ff51ffe75d994fe660434335b53d"
] | [
"torchvision/models/optical_flow/raft.py"
] | [
"from typing import List\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch import Tensor\nfrom torch.nn.modules.batchnorm import BatchNorm2d\nfrom torch.nn.modules.instancenorm import InstanceNorm2d\nfrom torchvision.ops import ConvNormActivation\n\nfrom ..._internally_replaced_uti... | [
[
"torch._assert",
"torch.cat",
"torch.nn.Identity",
"torch.nn.functional.avg_pool2d",
"torch.nn.init.constant_",
"torch.nn.Sequential",
"torch.split",
"torch.nn.init.kaiming_normal_",
"torch.linspace",
"torch.nn.functional.relu",
"torch.nn.ReLU",
"torch.nn.Conv2d",
... |
mkbeh/rin-bitshares-arbitry-bot | [
"7ef49e593b0a6d3c5c6561749bb36bc0c6bdee7e"
] | [
"setup.py"
] | [
"import os\n\nimport numpy as np\nimport src\n\nfrom setuptools import setup, find_packages\nfrom Cython.Build import cythonize\nfrom Cython.Distutils import build_ext\n\nfrom src.extra import utils\n\n\ncompiler_directives = {\n 'language_level': 3,\n 'cdivision': True,\n 'boundscheck': True,\n 'wrapar... | [
[
"numpy.get_include"
]
] |
Uma0221/AI-102-AIEngineer | [
"32112b354e81cb5d8790b9c2b4f733ef5740a19f",
"32112b354e81cb5d8790b9c2b4f733ef5740a19f"
] | [
"venv/Lib/site-packages/matplotlib/axis.py",
"venv/Lib/site-packages/matplotlib/__init__.py"
] | [
"\"\"\"\r\nClasses for the ticks and x and y axis.\r\n\"\"\"\r\n\r\nimport datetime\r\nimport functools\r\nimport logging\r\n\r\nimport numpy as np\r\n\r\nimport matplotlib as mpl\r\nfrom matplotlib import _api\r\nimport matplotlib.artist as martist\r\nimport matplotlib.cbook as cbook\r\nimport matplotlib.lines as ... | [
[
"matplotlib.units._is_natively_supported",
"numpy.isclose",
"matplotlib.transforms.Bbox.from_extents",
"matplotlib.units.registry.get_converter",
"matplotlib._api.check_getitem",
"matplotlib.text.FontProperties",
"matplotlib._api.warn_external",
"matplotlib._api.make_keyword_only",... |
deeplikesea/Pattern-Recognition | [
"350033254b2efbfc057d4ef7202fbbfb2546eb1a"
] | [
"train.py"
] | [
"import tensorflow as tf\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\nimport cv2\r\nimport time\r\nimport os\r\n'''\r\nwriter.write(example.SerializeToString()) input 最后生成数据。\r\n\r\n从TFRecords文件中读取数据， \r\n首先需要用tf.train.string_input_producer生成一个解析队列。\r\n之后调用tf.TFRecordReader的tf.parse_single_example解析器... | [
[
"tensorflow.image.random_hue",
"tensorflow.train.start_queue_runners",
"tensorflow.constant_initializer",
"tensorflow.nn.conv2d",
"tensorflow.image.random_flip_left_right",
"tensorflow.matmul",
"tensorflow.reshape",
"tensorflow.clip_by_value",
"tensorflow.control_dependencies",... |
delvallem/specDS | [
"3ce89c0ea8582f6c685b3b3522ace66c5f348df7"
] | [
"preprocessing.py"
] | [
"'''\nData pre-processing\n'''\n\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.decomposition import PCA\n\ndef concat2D(data):\n '''\n Concatenate all spectra opened with agilentFPA_multiple or agilentFPA where\n mode = 'mosaic'. Useful for processing.\n\n Create a label for each sp... | [
[
"numpy.dot",
"matplotlib.pyplot.xlim",
"numpy.min",
"numpy.mean",
"numpy.linalg.lstsq",
"numpy.cumsum",
"numpy.concatenate",
"numpy.max",
"matplotlib.pyplot.subplots",
"numpy.arange",
"numpy.trapz",
"numpy.sqrt",
"sklearn.decomposition.PCA",
"numpy.square",
... |
haiqinggatech/reinforcement-learning-an-introduction | [
"d83709e0b36964ade969e6dc3cef15e81a5d5ca6"
] | [
"chapter06/WindyGridWorld.py"
] | [
"#######################################################################\n# Copyright (C) #\n# 2016 Shangtong Zhang(zhangshangtong.cpp@gmail.com) #\n# 2016 Kenta Shimada(hyperkentakun@gmail.com) #\n# Permission given to m... | [
[
"numpy.max",
"numpy.random.binomial",
"numpy.random.choice",
"numpy.zeros",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.figure",
"numpy.argmax",
"matplotlib.pyplot.ylabel",
"matplotlib.pyplot.show"
]
] |
ishine/tpse-vc | [
"33c29b510476ebc90779e8d857cba0890a883e7e"
] | [
"code/data/preprocessing_vctk.py"
] | [
"import sys\nimport os\nimport librosa\nimport numpy as np\n\nfrom multiprocessing import Pool\nimport pickle\n\nfrom librosa.filters import mel as librosa_mel_fn\nimport torch\nfrom torch import nn\nfrom torch.nn import functional as F\nfrom sklearn.preprocessing import StandardScaler\nimport warnings\n\nwarnings.... | [
[
"torch.sqrt",
"torch.hann_window",
"numpy.save",
"torch.from_numpy",
"torch.clamp",
"torch.nn.functional.pad",
"torch.matmul",
"torch.stft"
]
] |
aditishankar/test | [
"dd3c46115ed3d5af7e6a4a6f8745cffb9b762c3a"
] | [
"airflow/hooks/dbapi.py"
] | [
"#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\")... | [
[
"pandas.io.sql.read_sql"
]
] |
thermokarst/gneiss | [
"20cbcaa6d889eea8462866d4b62e12509f84d47f"
] | [
"gneiss/regression/_ols.py"
] | [
"# ----------------------------------------------------------------------------\n# Copyright (c) 2016--, gneiss development team.\n#\n# Distributed under the terms of the Modified BSD License.\n#\n# The full license is in the file COPYING.txt, distributed with this software.\n# -------------------------------------... | [
[
"numpy.divide",
"numpy.dot",
"pandas.DataFrame",
"numpy.arange",
"numpy.abs",
"numpy.hstack",
"numpy.diag"
]
] |
lovvge/gluon-ts | [
"284376138f41968bec0a4cb05b274c8ee259493a",
"284376138f41968bec0a4cb05b274c8ee259493a"
] | [
"src/gluonts/model/seq2seq/_transform.py",
"test/dataset/test_stat.py"
] | [
"# Standard library imports\nfrom typing import Iterator, List\n\n# Third-party imports\nimport numpy as np\n\n# First-party imports\nfrom gluonts.core.component import validated\nfrom gluonts.transform import DataEntry, FlatMapTransformation, shift_timestamp\n\n\nclass ForkingSequenceSplitter(FlatMapTransformation... | [
[
"numpy.expand_dims",
"numpy.concatenate",
"numpy.zeros"
],
[
"numpy.array",
"numpy.random.seed",
"numpy.ones",
"pandas.Timestamp",
"numpy.random.randint"
]
] |
mlemainque/dask-lightgbm | [
"243de618c1e4fcd783f502a0d8d0282c49b37701"
] | [
"dask_lightgbm/tests/test_core.py"
] | [
"import numpy as np\nimport pandas as pd\nimport sparse\nimport lightgbm\nimport scipy.sparse\nimport pytest\n\nimport dask.array as da\nfrom dask.array.utils import assert_eq\nimport dask.dataframe as dd\nfrom dask.distributed import Client\nfrom sklearn.datasets import make_blobs\nfrom distributed.utils_test impo... | [
[
"sklearn.metrics.confusion_matrix",
"pandas.Series",
"sklearn.datasets.make_blobs",
"numpy.random.RandomState"
]
] |
arunpandianm/Arya-AI---Chatbot | [
"4345b5b6deac885dd96950815823a125813b087e"
] | [
"v1.0/arya - test.py"
] | [
"import nltk\r\n#nltk.download('punkt')\r\nfrom nltk.stem.lancaster import LancasterStemmer\r\nstemmer = LancasterStemmer()\r\n\r\nimport numpy\r\nimport tensorflow\r\nimport random\r\nimport tflearn\r\nimport json\r\nimport pickle\r\n\r\nimport speech_recognition as sr\r\n\r\n## Fetch the training data\r\nwith ope... | [
[
"numpy.array",
"tensorflow.reset_default_graph",
"numpy.argmax"
]
] |
nec-db-ml/perfect_match | [
"3f6c5642c02420ae676c5e7b94bb4d716ed3b5d9"
] | [
"perfect_match/models/benchmarks/tcga_benchmark.py"
] | [
"\"\"\"\nCopyright (C) 2018 Patrick Schwab, ETH Zurich\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated\ndocumentation files (the \"Software\"), to deal in the Software without restriction, including without limitation\nthe rights to use, copy, modify,... | [
[
"numpy.max",
"numpy.array",
"numpy.random.RandomState",
"numpy.rint",
"numpy.arange",
"numpy.squeeze"
]
] |
jmhessel/multi-retrieval | [
"20178dfda368ed4117f3aaee7b0bd2946fcdf9eb"
] | [
"train_doc.py"
] | [
"'''\nCode to accompany\n\"Unsupervised Discovery of Multimodal Links in Multi-Sentence/Multi-Image Documents.\"\nhttps://github.com/jmhessel/multi-retrieval\n\nThis is a work-in-progress TF2.0 port.\n'''\nimport argparse\nimport collections\nimport json\nimport tensorflow as tf\nimport numpy as np\nimport os\nimpo... | [
[
"tensorflow.keras.backend.transpose",
"tensorflow.ones_like",
"numpy.load",
"tensorflow.keras.models.Model",
"tensorflow.keras.layers.SpatialDropout1D",
"tensorflow.keras.layers.Dense",
"tensorflow.zeros_like",
"tensorflow.math.top_k",
"tensorflow.keras.layers.BatchNormalizatio... |
amands97/adverserialSphereFace | [
"91832c4af6768bfa4b116646d09135d98ce727f6"
] | [
"lfw_eval.py"
] | [
"# CUDA_VISIBLE_DEVICES=1 python lfw_eval.py --lfw lfw.zip --epoch_num 2\nfrom __future__ import print_function\n\nimport torch\nimport torch.nn as nn\nimport torch.optim as optim\nimport torch.nn.functional as F\nfrom torch.autograd import Variable\ntorch.backends.cudnn.bencmark = True\n\nimport os,sys,cv2,random,... | [
[
"numpy.array",
"numpy.count_nonzero",
"numpy.mean",
"torch.from_numpy",
"numpy.std",
"numpy.arange",
"torch.load",
"numpy.vstack"
]
] |
thanard/dorp | [
"3e635699018365696fb7d623cf1c519121fafa69"
] | [
"utils/visualize.py"
] | [
"import matplotlib.pyplot as plt\nfrom envs.gridworld import AGENT_SIZES, RGB_COLORS\nimport numpy as np\nimport os\nfrom envs.key_door import *\nfrom envs.gridworld import *\n\nfrom utils.gen_utils import *\nfrom model import get_discrete_representation\nfrom torchvision.utils import save_image\n\ndef visualize_re... | [
[
"numpy.concatenate",
"numpy.full",
"numpy.array",
"numpy.zeros",
"matplotlib.pyplot.savefig",
"numpy.sum",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.close",
"numpy.random.shuffle",
"matplotlib.pyplot.figure",
"numpy.eye",
"numpy.where",
"matplotlib.pyplot.his... |
Qi-Zha0/COMS4995 | [
"c8ec5ceeb62a814194b461c93875c9162b4a8730"
] | [
"code/target_reader.py"
] | [
"import numpy as np\nimport pandas as pd\nimport cv2\n\n\nclass target_reader:\n '''\n Reads in an image of a used archery target and uses openCV to determine\n position and score value for each shot. __init__ initializes session\n settings and run performs analysis.\n '''\n\n # Class-wide setting... | [
[
"numpy.argmin",
"numpy.mean",
"numpy.radians",
"numpy.sort",
"numpy.cos",
"numpy.full_like",
"numpy.max",
"numpy.zeros_like",
"numpy.linalg.norm",
"numpy.sin",
"pandas.DataFrame",
"numpy.interp",
"numpy.prod",
"numpy.argmax",
"numpy.square",
"numpy.a... |
GavinRay97/arrow | [
"11d2e4863974b95c1fa637e83757b98f291366c3"
] | [
"python/pyarrow/tests/test_json.py"
] | [
"# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements. See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership. The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); y... | [
[
"numpy.random.RandomState"
]
] |
A-Gharibian/SNVcaller | [
"0d10269381161f2aa990524bef983f6f3f6478f3"
] | [
"vardict_vcf.py"
] | [
"\"\"\"\nThis module automatically converts sorted vardict output to standard .vcf format.\n\nAuthor: Nick Veltmaat\nDate: 19-11-2021\n\"\"\"\n\nimport pandas as pd\nimport glob\nimport sys\n\nif len(sys.argv) != 3:\n print(\"Usage:\\t\" + sys.argv[0] + \"\\t<input_sorted_vardict_file_path>\\t<output_path_filename... | [
[
"pandas.read_csv"
]
] |
wessels/protocol-camel | [
"6117e8dbeb6a7d9a1bc5552489699f7ef012fda2"
] | [
"camelplot.py"
] | [
"#!/usr/bin/env python\n# coding: utf-8\n\n# In[1]:\n\n\nimport sys\nfrom IPython.display import set_matplotlib_formats\nfrom pandas.plotting import register_matplotlib_converters\nregister_matplotlib_converters()\n\nimport matplotlib\nimport math\nimport numpy as np\nimport scipy as sp\nimport seaborn as sns\nimpo... | [
[
"pandas.to_datetime",
"matplotlib.pyplot.grid",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.figure",
"matplotlib.pyplot.ylabel",
"pandas.read_csv",
"matplotlib.pyplot.stackplot",
"pandas.plotting.register_matplotli... |
jacobrgardner/pybnn | [
"3fcc7d36ce5d09fa15049872e3f516c9261d7b3e"
] | [
"pybnn/lcnet.py"
] | [
"from copy import deepcopy\n\nimport numpy as np\nimport torch\nimport torch.nn as nn\n\nfrom pybnn.bohamiann import Bohamiann\nfrom pybnn.util.layers import AppendLayer\n\n\ndef vapor_pressure(x, a, b, c, *args):\n b_ = (b + 1) / 2 / 10\n a_ = (a + 1) / 2\n c_ = (c + 1) / 2 / 10\n return torch.exp(-a_ ... | [
[
"torch.nn.Linear",
"torch.stack",
"numpy.mean",
"numpy.std",
"torch.log",
"torch.exp",
"torch.sum"
]
] |
pierre-lavieille/abnormality-detection-x-ray | [
"d2092a9a16c3b916fda8c7e84822efe945e120c5"
] | [
"train_classifier/prepare_data.py"
] | [
"# -*- coding: utf-8 -*-\n\nimport logging\nlogger = logging.getLogger('main_logger')\n\nimport pandas as pd\nimport numpy as np\nfrom sklearn.model_selection import StratifiedKFold\nimport os\n\n\ndef get_update_df(conf):\n \"\"\"\n From the direction of the dataset it clean it and return train and validatio... | [
[
"pandas.read_csv",
"sklearn.model_selection.StratifiedKFold"
]
] |
shibaji7/clustering_superdarn_data | [
"02bc31dd85f66319bb46b632e0e7ac51ed98c432"
] | [
"plotters.py/sma.py"
] | [
"import pandas as pd\nfrom scipy import ndimage\nfrom sklearn.cluster import DBSCAN\nimport numpy as np\nfrom scipy import stats as st\n\nimport matplotlib\nmatplotlib.use(\"Agg\")\nimport matplotlib.pyplot as plt\nimport matplotlib.ticker as mticker\n#import spacepy.plot as splot\n#import seaborn as sns\nimport ma... | [
[
"scipy.stats.median_absolute_deviation",
"numpy.quantile",
"scipy.ndimage.minimum_filter",
"numpy.median",
"numpy.min",
"numpy.mean",
"numpy.sign",
"numpy.where",
"numpy.max",
"matplotlib.font_manager.FontProperties",
"numpy.indices",
"pandas.DataFrame",
"matplo... |
lokijota/datadrivenastronomymooc | [
"175655e5c6450c091534299da6bce6f10a1a3627"
] | [
"wk6/01_splitting_the_train_and_test_sets.py"
] | [
"import numpy as np\nimport math\n\n\ndef splitdata_train_test(data, fraction_training):\n #randomize data set order\n np.random.seed(0)\n np.random.shuffle(data)\n\n #find split point\n training_rows = math.floor(len(data) * fraction_training) #int(...) would be enough\n \n training_set = data[0:training_ro... | [
[
"numpy.random.seed",
"numpy.load",
"numpy.random.shuffle"
]
] |
mecobalamine/crispy-octo-palm-tree | [
"dfcca865ccb1235083c9a4ab997e8a9334a21235"
] | [
"frame/ord_watershed.py"
] | [
"import cv2 as cv\nimport const\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nfrom PIL import Image\nfrom collections import deque\n\n\ndef get_neighbors(height, width, pixel):\n return np.mgrid[\n max(0, pixel[0] - 1):min(height, pixel[0] + 2),\n max(0, pixel[1] - 1):min(width, pix... | [
[
"numpy.full",
"matplotlib.pyplot.figure",
"numpy.argsort",
"matplotlib.pyplot.show",
"numpy.linspace"
]
] |
bmorris3/boyajian_star_arces | [
"c36adeaf47dc606edacc45b920db0a19c3f2bd88"
] | [
"toolkit/analysis.py"
] | [
"from __future__ import (absolute_import, division, print_function,\n unicode_literals)\n\nimport numpy as np\nfrom scipy.optimize import fmin\nimport emcee\n\n__all__ = ['mcmc_fit', 'initial_odr_fit']\n\n\ndef v_vector(theta):\n \"\"\"\n Hogg+ 2010, Eqn 29.\n \"\"\"\n return [[-n... | [
[
"numpy.sin",
"numpy.log",
"numpy.random.randn",
"numpy.exp",
"numpy.isfinite",
"numpy.cos"
]
] |
aolin480/openpilot | [
"9ac00c3e5e111a05a0bb10018ccd190571dfff4d",
"9ac00c3e5e111a05a0bb10018ccd190571dfff4d"
] | [
"selfdrive/locationd/models/car_kf.py",
"selfdrive/locationd/paramsd.py"
] | [
"#!/usr/bin/env python3\nimport math\nimport sys\nfrom typing import Any, Dict\n\nimport numpy as np\n\nfrom selfdrive.controls.lib.vehicle_model import ACCELERATION_DUE_TO_GRAVITY\nfrom selfdrive.locationd.models.constants import ObservationKind\nfrom selfdrive.swaglog import cloudlog\n\nfrom rednose.helpers.kalma... | [
[
"numpy.array",
"numpy.zeros",
"numpy.atleast_2d"
],
[
"numpy.radians",
"numpy.array",
"numpy.atleast_2d"
]
] |
sjperkins/awkward-1.0 | [
"75dbd5d06a012ff9d1da56f898b747cea2b1d2a9"
] | [
"tests/test_0056b-partitioned-array-numba.py"
] | [
"# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/master/LICENSE\n\nfrom __future__ import absolute_import\n\nimport sys\n\nimport pytest\nimport numpy\n\nimport awkward1\n\nnumba = pytest.importorskip(\"numba\")\n\nawkward1_numba = pytest.importorskip(\"awkward1._connect._numba\")\nawkwar... | [
[
"numpy.array"
]
] |
Xiaojieqiu/starfish | [
"426480fcfeda4b8b1eb9371a818ff20275ac898d"
] | [
"starfish/pipeline/gene_assignment/point_in_poly.py"
] | [
"import numpy as np\nfrom skimage.measure import points_in_poly\nimport pandas as pd\n\nfrom ._base import GeneAssignmentAlgorithm\n\n\nclass PointInPoly(GeneAssignmentAlgorithm):\n def __init__(self, verbose=False, **kwargs):\n self.verbose = verbose\n\n @classmethod\n def add_arguments(cls, parser... | [
[
"numpy.sum",
"numpy.array"
]
] |
oegedijk/dash_oop_demo | [
"5558323d911532558b1bc58cde791020a1609e48"
] | [
"dashboard_components.py"
] | [
"__all__ = ['CovidDashboard']\n\nimport dash_html_components as html\nimport dash_core_components as dcc\nimport dash_bootstrap_components as dbc\n\nfrom dash.dependencies import Input, Output, State\nfrom dash.exceptions import PreventUpdate\nfrom dash_oop_components import DashFigureFactory, DashComponent, DashCo... | [
[
"pandas.read_csv"
]
] |
hahaxun/ray | [
"754d7b1f0d6a147315a96dfc9f410504472b28d5"
] | [
"rllib/models/tf/tf_action_dist.py"
] | [
"from math import log\nimport numpy as np\nimport functools\n\nfrom ray.rllib.models.action_dist import ActionDistribution\nfrom ray.rllib.utils import MIN_LOG_NN_OUTPUT, MAX_LOG_NN_OUTPUT, \\\n SMALL_NUMBER, try_import_tree\nfrom ray.rllib.utils.annotations import override, DeveloperAPI\nfrom ray.rllib.utils.fr... | [
[
"numpy.array",
"numpy.less",
"numpy.log",
"numpy.sum",
"numpy.prod"
]
] |
Matthew-McRaven/ConvVote | [
"b83310217d2830d6ca3374916efab7fc55a70ab4"
] | [
"CNNScan/Samples/Random/ElectionFaker.py"
] | [
"import random\n\nimport numpy as np\nimport numpy.random\nfrom PIL import Image\nfrom faker import Faker\n\nfrom CNNScan.Ballot import BallotDefinitions, MarkedBallots, Positions\nimport CNNScan.Mark.Marks\n# Create a single, fixed fake race with 4 candidates.\ndef create_fake_contest(pagenum, contest_index=0, min... | [
[
"numpy.sum"
]
] |
BanafshehKhaki/EOS_img | [
"68764f5e6bf239dee791d495ed4eac1b60a25690"
] | [
"ImgAna_minimum.py"
] | [
"import os\r\nimport sys\r\nimport numpy as np\r\nimport matplotlib.pyplot as pp\r\nimport warnings\r\nfrom datetime import datetime\r\n\r\n#try:\r\n# from PIL import Iamge\r\n#except ImportError:\r\n# print (\"Python module 'PIL' not available.\"\r\n# pass\r\n \r\n\r\n\r\nclass EOS1_Img:\r\n \"\"\"P... | [
[
"numpy.array",
"matplotlib.pyplot.colorbar",
"numpy.argmin",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.figure",
"numpy.where",
"numpy.arange",
"numpy.polyfit",
"matplotlib.pyplot.style.use",
"numpy.dstack",
... |
strangetom/ingredient-parser | [
"2c6221acafb5ef006fc44597946110b757f8b43b"
] | [
"data/generate_training_testing_data_from_csv.py"
] | [
"#!/usr/bin/env python3\n\nimport argparse\nimport csv\n\nfrom sklearn.model_selection import train_test_split\nfrom nltk import pos_tag\nfrom nltk.tokenize import word_tokenize\n\ndef load_csv(csv_filename):\n \"\"\"Load csv file generated py ```generate_training_testing_csv.py``` and parse contents into ingred... | [
[
"sklearn.model_selection.train_test_split"
]
] |
aliechoes/iflai | [
"74f20236a6fba4704fe3ab4cdde6fb64c6b1343e"
] | [
"iflai/ml/segmentation.py"
] | [
"from skimage.filters import threshold_otsu\nfrom skimage.filters import sobel\nfrom skimage.morphology import disk, remove_small_objects, binary_closing\nfrom scipy.ndimage import binary_fill_holes\n\n__all__ = [ 'segment_all_channels',\n 'bright_field_segmentation',\n 'fluorescent_segmentat... | [
[
"scipy.ndimage.binary_fill_holes"
]
] |
xuanyuyt/lanenet-lane-detection | [
"b4e9eeb3b25597ce7a393771d3f324d64ec1348b"
] | [
"data_provider/autoaugment_utils_my.py"
] | [
"# Copyright 2018 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.reduce_min",
"numpy.ones_like",
"tensorflow.cumsum",
"numpy.minimum",
"tensorflow.ones_like",
"numpy.tile",
"tensorflow.ones",
"tensorflow.reshape",
"numpy.mean",
"numpy.min",
"numpy.where",
"tensorflow.zeros_like",
"tensorflow.clip_by_value",
"t... |
milesgray/ImageFunctions | [
"35e4423b94149b0ba291eafb0cd98260a70d5f31"
] | [
"models/resnexter.py"
] | [
"from functools import partial\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom .registry import register\nfrom .layers import create as create_layer\nfrom .layers.activations import create as create_act\nfrom .layers import SpectralConv2d\n\n__all__ = ['ResNeXtER', 'resnexter18', 're... | [
[
"torch.nn.Linear",
"torch.cat",
"torch.nn.init.constant_",
"torch.nn.Sequential",
"torch.nn.init.kaiming_normal_",
"torch.nn.Conv2d",
"torch.nn.GELU"
]
] |
Yuriowindiatmoko2401/ml_flood | [
"56b63d90c2c6b066e0d077b78c6b96d5ddac06d6"
] | [
"python/misc/utils_floodmodel.py"
] | [
"import warnings\nimport numpy as np\nimport pandas as pd\nimport xarray as xr\nimport geopandas\nfrom rasterio import features\nfrom affine import Affine\nfrom python.aux.utils import calc_area\nnp.seterr(divide='ignore', invalid='ignore')\n\n\"\"\"Contains methods for the flowmodel (transport model & local model)... | [
[
"numpy.array",
"numpy.isnan",
"numpy.asarray",
"numpy.seterr",
"numpy.allclose",
"numpy.timedelta64",
"numpy.cumsum",
"numpy.repeat",
"pandas.Series",
"numpy.floor"
]
] |
SrivastavaKshitij/WeightWatcher | [
"afdab804801e62c07e6c5c19e3f6c5dd2538989f"
] | [
"weightwatcher/weightwatcher.py"
] | [
"# Copyright 2018 Calculation Consulting [calculationconsulting.com]\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 re... | [
[
"numpy.dot",
"numpy.random.choice",
"numpy.fft.fft2",
"numpy.min",
"numpy.sort",
"numpy.max",
"numpy.zeros_like",
"numpy.linalg.norm",
"pandas.DataFrame",
"numpy.transpose",
"numpy.argmax",
"numpy.sqrt",
"sklearn.decomposition.TruncatedSVD",
"numpy.log10",
... |
sukkritsharmaofficial/chitra | [
"93629d0a6d41a3f8b8cf61485684314628e1135e"
] | [
"chitra/core.py"
] | [
"import os\nimport pathlib\nfrom typing import Optional, Tuple\n\nimport requests\nimport tensorflow as tf\n\nfrom chitra.constants import IMAGENET_LABEL_URL\nfrom chitra.logging import logger\n\nIMAGENET_LABELS: Optional[Tuple[str]] = None\n\n\ndef remove_dsstore(path) -> None:\n \"\"\"Deletes .DS_Store files f... | [
[
"tensorflow.strings.split"
]
] |
mjwhite/volconv | [
"4756c0880cac050a16c23f5ad2d98014479e10ec"
] | [
"nifti/raw.py"
] | [
"#!/usr/bin/env python\n#\n# Volconv - geometry-aware DICOM-to-NIfTI converter\n# Raw writer (primarily for NIfTI data, hence using NIfTI type system)\n#\n# Copyright 2006-2016 Mark J White <mark@celos.net>\n# \n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except ... | [
[
"numpy.memmap",
"numpy.reshape"
]
] |
StanfordVL/InteractiveGibsonEnv | [
"58ac14cf62949008b6851a5a95602cd5084edffd"
] | [
"igibson/examples/robots/ik_example.py"
] | [
"import argparse\nimport logging\nimport os\nimport time\n\nimport numpy as np\nimport pybullet as p\n\nimport igibson\nfrom igibson.external.pybullet_tools.utils import (\n get_max_limits,\n get_min_limits,\n get_sample_fn,\n joints_from_names,\n set_joint_positions,\n)\nfrom igibson.objects.visual_... | [
[
"numpy.array"
]
] |
tbohne/game_of_life | [
"f1f0caaad70e6540adae2eb2aa4d3bfb309d0479"
] | [
"gol.py"
] | [
"import copy\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nfrom argparse import ArgumentParser\n\ndef generate_random_state(dim):\n return [np.random.randint(2, size = dim) for _ in range(dim)]\n\ndef generate_initial_state_from_file(file):\n f = open(file, \"r\")\n grid =... | [
[
"matplotlib.pyplot.subplots",
"matplotlib.colors.BoundaryNorm",
"numpy.random.randint",
"matplotlib.pyplot.pause",
"matplotlib.colors.ListedColormap"
]
] |
stevenmak-hub/solution_of_challenge | [
"7f3106f1f89660e67b12ace81645a5fc19674e77"
] | [
"audio_preprocessing/FullSubNet/fullsubnet/trainer.py"
] | [
"import matplotlib.pyplot as plt\nimport torch\nfrom torch.cuda.amp import autocast\nfrom tqdm import tqdm\n\nfrom ..audio_zen.acoustics.feature import mag_phase, drop_band\nfrom ..audio_zen.acoustics.mask import build_complex_ideal_ratio_mask, decompress_cIRM\nfrom ..audio_zen.trainer.base_trainer import BaseTrain... | [
[
"matplotlib.pyplot.switch_backend",
"torch.no_grad",
"torch.stack",
"torch.cuda.amp.autocast"
]
] |
sasgc6/pysmurf | [
"a370b515ab717c982781223da147bea3c8fb3a9c"
] | [
"scratch/shawn/trianglewave.py"
] | [
"import pysmurf\n\n#S = pysmurf.SmurfControl(make_logfile=False,setup=False,epics_root='test_epics',cfg_file='/usr/local/controls/Applications/smurf/pysmurf/pysmurf/cfg_files/experiment_fp28_smurfsrv04.cfg')\n\n\nimport numpy as np\nimport time\n\nVrange=np.linspace(0,0.195/6.,100)+S.get_tes_bias_bipolar(3)\nVrange... | [
[
"numpy.array",
"numpy.linspace"
]
] |
desmoteo/swiss-army-keras | [
"49578f1a45761229756a8adbfcf692728039dc3b"
] | [
"swiss_army_keras/quantization_utils.py"
] | [
"import tensorflow as tf\nimport numpy as np\n\nfrom datetime import datetime\n\nimport matplotlib.pyplot as plt\n\n\ndef visualize(**images):\n \"\"\"PLot images in one row.\"\"\"\n n = len(images)\n plt.figure(figsize=(16, 5))\n for i, (name, image) in enumerate(images.items()):\n plt.subplot(1... | [
[
"tensorflow.lite.Interpreter",
"matplotlib.pyplot.yticks",
"matplotlib.pyplot.figure",
"tensorflow.cast",
"tensorflow.keras.models.load_model",
"tensorflow.lite.TFLiteConverter.from_keras_model",
"numpy.argmax",
"matplotlib.pyplot.show",
"matplotlib.pyplot.imshow",
"matplot... |
evgerher/hft-backtesting | [
"737ce7bda4a31b839dd8179eab5f3aae22040c3e"
] | [
"tests/strategy_test.py"
] | [
"import datetime\nimport unittest\n\nfrom hft.backtesting import backtest\nimport numpy as np\n\nfrom hft.backtesting.output import StorageOutput\nfrom hft.backtesting.readers import ListReader\nfrom hft.units.metrics.instant import VWAP_volume\nfrom hft.units.metrics.time import TradeMetric\nfrom hft.utils.consts ... | [
[
"numpy.array"
]
] |
TianXie1999/selective-inference | [
"ca02bbd84af5f5597944c75bde8337db9c69066a"
] | [
"doc/learning_examples/knockoffs/knockoff_kernel_multi_5000.py"
] | [
"import functools\n\nimport numpy as np\nfrom scipy.stats import norm as ndist\n\nimport regreg.api as rr\n\nfrom selectinf.tests.instance import gaussian_instance\n\nfrom selectinf.learning.utils import full_model_inference, pivot_plot\nfrom selectinf.learning.core import normal_sampler, keras_fit\n\ndef generate(... | [
[
"numpy.array",
"numpy.linalg.norm",
"numpy.random.standard_normal",
"numpy.linalg.pinv",
"matplotlib.pyplot.close",
"numpy.mean",
"numpy.nonzero",
"numpy.fabs",
"numpy.sqrt",
"numpy.hstack",
"pandas.read_csv",
"numpy.linalg.inv"
]
] |
manuel-rhdt/master-thesis | [
"51806aabefaa66a06bf895cac248fe3bffb04ba7"
] | [
"python/tests/likelihood_test.py"
] | [
"import unittest\nfrom gaussian_system import System, time_matrix, wang_landau\nfrom gaussian_system.thermodynamic_integration import generate_samples_mcmc\nimport numpy as np\nfrom scipy.stats import multivariate_normal\n\n\nclass TestLikelihood(unittest.TestCase):\n def test_trivial(self):\n self.assert... | [
[
"numpy.testing.assert_allclose",
"numpy.random.random_sample",
"scipy.stats.multivariate_normal",
"numpy.linspace",
"numpy.linalg.inv"
]
] |
the-mahapurush/pds | [
"7cb4087dd8e75cb1e9b2a4283966c798175f61f7"
] | [
"All_Source_Code/LogisticRegression/LogisticRegression_2.py"
] | [
"from sklearn import datasets\nfrom sklearn.model_selection import train_test_split\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nfrom sklearn.linear_model import LogisticRegression\nclassifier = LogisticRegression(max_iter=5000,\\\n solver='lbfgs',\\\n ... | [
[
"sklearn.datasets.load_digits",
"sklearn.linear_model.LogisticRegression",
"sklearn.model_selection.train_test_split",
"matplotlib.pyplot.show",
"matplotlib.pyplot.imshow"
]
] |
lparolari/weakvtg | [
"e5d5f738ff0d916da8b31e967aa21f01fb74a906"
] | [
"tests/loss/test_loss_orthogonal_box_class_count_scaled.py"
] | [
"import torch\n\nfrom weakvtg.loss import loss_orthogonal_box_class_count_scaled\n\n\ndef test_loss_orthogonal_box_class_count_scaled():\n X = torch.tensor([1, -1, 1, -1, 0, 0, .236, -.751], dtype=torch.float), torch.tensor([3, 1, 1, 1, 0, 1, 1, 0])\n y = torch.tensor([1, -1, -1, 1, -1, 1, -1, 1], dt... | [
[
"torch.square",
"torch.tensor"
]
] |
yketa/DAMTP_2019_Wiki | [
"9995202a586d5f301f2bdffe868b1fcec6fbb990"
] | [
"Summaries/RTPring/exact_plot.py"
] | [
"from active_work.miscellaneous import RTPring\nfrom active_work.plot import list_colormap\nfrom active_work.init import get_env\n\nimport matplotlib.pyplot as plt\ntry: plt.style.use('paper')\nexcept: print('Matplotlib stylesheet \\'paper\\' does not exist.')\nfrom matplotlib.lines import Line2D\n\nimport numpy as... | [
[
"numpy.max",
"matplotlib.lines.Line2D",
"matplotlib.pyplot.sca",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.style.use",
"matplotlib.pyplot.show",
"numpy.linspace"
]
] |
NRauschmayr/sagemaker-debugger | [
"24ed65631143fcc0457fb325a102500ebd69adfc"
] | [
"tests/pytorch/test_distributed_training.py"
] | [
"\"\"\"\nTests core functionality of naming workers when there are multiple processes.\nSee https://pytorch.org/tutorials/intermediate/ddp_tutorial.html to decide\nhow we want to support DistributedDataParallel with limited user configuration.\n\nThe key methods are\n torch.distributed.get_rank() - when manually... | [
[
"torch.multiprocessing.Process",
"torch.nn.functional.sigmoid",
"torch.rand",
"torch.device",
"torch.distributed.get_world_size",
"torch.nn.Linear",
"torch.distributed.init_process_group",
"torch.multiprocessing.set_start_method",
"torch.manual_seed",
"torch.nn.functional.m... |
leVirve/OneGAN | [
"e0d5f387c957fbf599919078d8c6277740015336"
] | [
"onegan/loss.py"
] | [
"# Copyright (c) 2017- Salas Lin (leVirve)\n#\n# This software is released under the MIT License.\n# https://opensource.org/licenses/MIT\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch.autograd import grad\n\nimport onegan\n\n\ndef adversarial_ce_loss(x, value: float):\n ''' x... | [
[
"torch.nn.NLLLoss",
"torch.cat",
"torch.nn.functional.log_softmax",
"torch.nn.functional.mse_loss",
"torch.nn.functional.softmax",
"torch.zeros_like",
"torch.mean",
"torch.nn.functional.binary_cross_entropy"
]
] |
ivirshup/anndata | [
"e7a3a3e6e0b5e76c312efb7031bb71d224da297d"
] | [
"anndata/tests/test_concatenate.py"
] | [
"from collections.abc import Hashable\nfrom copy import deepcopy\nfrom itertools import chain, product\nfrom functools import partial\nimport warnings\n\nimport numpy as np\nfrom numpy import ma\nimport pandas as pd\nfrom pandas.api.types import is_categorical_dtype\nimport pytest\nfrom scipy import sparse\nfrom bo... | [
[
"numpy.concatenate",
"pandas.testing.assert_frame_equal",
"numpy.array",
"numpy.array_equal",
"numpy.random.choice",
"numpy.nan_to_num",
"numpy.testing.assert_equal",
"numpy.zeros",
"numpy.setdiff1d",
"numpy.ones",
"numpy.random.randn",
"pandas.api.types.is_categori... |
HAXRD/pattern | [
"09f37920ce727265765ec59a2304b011d81e3454"
] | [
"pattern/algorithms/nets/ed.py"
] | [
"# Copyright (c) 2021, Xu Chen, FUNLab, Xiamen University\n# All rights reserved.\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nclass EncoderDecoder(nn.Module):\n def __init__(self, n_in_chs, n_out_chs, ):\n super(EncoderDecoder, self).__init__()\n self.n_in_chs = n_in... | [
[
"torch.nn.Conv2d",
"torch.nn.ConvTranspose2d",
"torch.nn.MaxPool2d"
]
] |
eth-sri/ACE | [
"62db57971184ced80777771a5b0e88ab1d0562cf"
] | [
"utils.py"
] | [
"import numpy as np\nimport torch\nimport torchvision\nimport matplotlib.pyplot as plt\nimport pickle\nfrom scipy.stats import norm\n\nimport re\nimport json\nimport os\nfrom layers import Linear, Conv2d\nfrom networks import FFNN, ConvMedBig, MyResnet, myNet, EfficientNet\nfrom itertools import combinations\nfrom... | [
[
"numpy.array",
"scipy.stats.norm.ppf",
"torch.FloatTensor",
"numpy.mean",
"numpy.power",
"torch.load",
"torch.randn",
"numpy.floor"
]
] |
Remember2018/tensorpack | [
"395a5add9196e7362cd1b48cc210f5ee5e339424"
] | [
"tensorpack/train/trainers.py"
] | [
"# -*- coding: utf-8 -*-\n# File: trainers.py\n\nimport sys\nimport os\nimport tensorflow as tf\nimport multiprocessing as mp\n\nfrom ..callbacks import RunOp, CallbackFactory\nfrom ..tfutils.sesscreate import NewSessionCreator\n\nfrom ..utils import logger\nfrom ..utils.argtools import map_arg\nfrom ..utils.develo... | [
[
"tensorflow.name_scope"
]
] |
tokaho/MIDI-BERT | [
"16d683830d817fd94897c67c1431ef98118cfbb5",
"16d683830d817fd94897c67c1431ef98118cfbb5",
"16d683830d817fd94897c67c1431ef98118cfbb5"
] | [
"MidiBERT/CPProgram/finetune.py",
"MidiBERT/CPProgram/.ipynb_checkpoints/main-checkpoint.py",
"MidiBERT/CP/trainer.py"
] | [
"import argparse\nimport numpy as np\nimport pickle\nimport os\nimport random\n\nfrom torch.utils.data import DataLoader\nimport torch\nfrom transformers import BertConfig\n\nfrom model import MidiBert\nfrom finetune_trainer import FinetuneTrainer\nfrom finetune_dataset import FinetuneDataset\n\nfrom matplotlib imp... | [
[
"torch.cuda.manual_seed",
"torch.cuda.manual_seed_all",
"numpy.random.seed",
"matplotlib.pyplot.xlabel",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.title",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.figure",
"torch.manual_seed",
"torch... |
avdmitry/rl_3d | [
"bf2645b104bfe1087d766e833f28a5f141b21f0e"
] | [
"agent_a3c.py"
] | [
"#!/usr/bin/env python\n\nfrom __future__ import print_function\n\nimport numpy as np\nimport cv2\nimport tensorflow as tf\nimport threading\nimport sys\nimport time\nimport os\n\ndef MakeDir(path):\n try:\n os.makedirs(path)\n except:\n pass\n\nlab = False\nload_model = False\ntrain = True\ntes... | [
[
"numpy.random.choice",
"tensorflow.contrib.layers.fully_connected",
"tensorflow.contrib.rnn.BasicLSTMCell",
"tensorflow.contrib.layers.conv2d",
"tensorflow.reshape",
"tensorflow.gradients",
"tensorflow.one_hot",
"tensorflow.contrib.layers.flatten",
"tensorflow.global_variables_... |
joshualy/numerical_computing | [
"9f474e36fe85ae663bd20e2f2d06265d1f095173"
] | [
"Vol1A/QR2-LeastSquares/plots.py"
] | [
"# plots.py\n\"\"\"Volume 1A: QR 2 (Least Squares and Computing Eigenvalues). Plotting file.\"\"\"\nfrom __future__ import print_function\nimport matplotlib\nmatplotlib.rcParams = matplotlib.rc_params_from_file('../../matplotlibrc')\n\nfrom matplotlib import pyplot as plt\nfrom functools import wraps\nfrom sys impo... | [
[
"numpy.sin",
"numpy.ones_like",
"matplotlib.pyplot.savefig",
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.rc_params_from_file",
"numpy.random.randn",
"scipy.stats.linregress",
"numpy.load",
"scipy.linalg.lstsq",
"matplotlib.pyplot.close",
"numpy... |
farchanHakimRaswa/ssdDataset | [
"0f39883bd305da1776c911d1237977fe8efcb6b1"
] | [
"xml_to_csv.py"
] | [
"\"\"\"\nUsage:\n# Create train data:\npython xml_to_csv.py -i [PATH_TO_IMAGES_FOLDER]/train -o [PATH_TO_ANNOTATIONS_FOLDER]/train_labels.csv\n\n# Create test data:\npython xml_to_csv.py -i [PATH_TO_IMAGES_FOLDER]/test -o [PATH_TO_ANNOTATIONS_FOLDER]/test_labels.csv\n\"\"\"\n\nimport os\nimport glob\nimport pandas ... | [
[
"pandas.DataFrame"
]
] |
Renovamen/alkaid | [
"78bb19c3d18856234dec9444235b749c6006655f"
] | [
"alkaid/net/qnet.py"
] | [
"import torch\nimport torch.nn as nn\nfrom typing import Union, Sequence\n\nfrom .backbone import MLP\n\nclass QNet(nn.Module):\n \"\"\"\n A simple network for DQN and its variants.\n\n Parameters\n ----------\n state_dim : int\n Dimension of state space\n\n action_dim : int\n Dimens... | [
[
"torch.nn.ReLU",
"torch.softmax"
]
] |
ZhunYin1652/VIN-for-CSPP | [
"5d8e0b4e30601631aa5c8b0b6dac452067cd75cf"
] | [
"test_LP_History.py"
] | [
"import sys\nimport argparse\n\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\nimport numpy as np\n\nimport torch\nfrom torch.autograd import Variable\n\nfrom dataset.dataset import *\nfrom utility.utils import *\nfrom model_History import *\n\nfrom domains.gridworld_LP import *\nfrom generators.obstacle... | [
[
"torch.zeros",
"numpy.concatenate",
"torch.cat",
"numpy.int",
"numpy.zeros",
"torch.autograd.Variable",
"matplotlib.pyplot.close",
"matplotlib.pyplot.subplots",
"matplotlib.pyplot.waitforbuttonpress",
"torch.cuda.is_available",
"matplotlib.pyplot.draw",
"numpy.rando... |
zahraghh/DES_weather_analysis | [
"2c876d7207b6f6e24d906fe0d5ca6d15db036d82"
] | [
"DES_weather_analysis/selecting_buildings.py"
] | [
"import pandas as pd\r\nimport csv\r\nimport math\r\nimport datetime as dt\r\nimport os\r\nimport sys\r\nimport csv\r\nimport statistics\r\nimport matplotlib.pyplot as plt\r\nfrom sko.GA import GA\r\n\r\ndef selecting_buildings_EP(path_test):\r\n editable_data_path =os.path.join(path_test, 'editable_values.csv')... | [
[
"matplotlib.pyplot.plot",
"matplotlib.pyplot.legend",
"matplotlib.pyplot.close",
"matplotlib.pyplot.rc",
"pandas.read_csv"
]
] |
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