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# This file was auto-generated by /Users/vogels/dev/domtree/generate_stubs.py. from typing import overload, Callable, Dict, List, Any, Optional, Union, Generator from domtree.node import Node class A(Node): """ https://developer.mozilla.org/en-US/docs/Web/SVG/Element/a """ @overload def __call__( ...
[ "domtree.node.Node" ]
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from nisar.products.readers import SLC from nisar.workflows.geo2rdr_runconfig import Geo2rdrRunConfig import nisar.workflows.helpers as helpers import journal import os import h5py import numpy as np import warnings class InsarRunConfig(Geo2rdrRunConfig): def __init__(self, args): super().__init__(args) ...
[ "h5py.File", "nisar.products.readers.SLC", "journal.error", "os.path.isfile", "numpy.array", "journal.warning", "os.path.join" ]
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# Generated by Django 3.1.5 on 2021-01-19 22:27 from django.db import migrations, models import uuid class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Log', fields=[ ('id', models.UU...
[ "django.db.models.TextField", "django.db.models.UUIDField", "django.db.models.CharField", "django.db.models.BooleanField", "django.db.models.PositiveSmallIntegerField", "django.db.models.DateTimeField" ]
[((311, 402), 'django.db.models.UUIDField', 'models.UUIDField', ([], {'default': 'uuid.uuid4', 'editable': '(False)', 'primary_key': '(True)', 'serialize': '(False)'}), '(default=uuid.uuid4, editable=False, primary_key=True,\n serialize=False)\n', (327, 402), False, 'from django.db import migrations, models\n'), ((4...
"""empty message Revision ID: c<PASSWORD>ad69c152 Revises: None Create Date: 2016-06-05 07:39:52.804131 """ # revision identifiers, used by Alembic. revision = '<KEY>' down_revision = None from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by Alembic - please adjust! ###...
[ "alembic.op.drop_table", "sqlalchemy.PrimaryKeyConstraint", "sqlalchemy.Text", "sqlalchemy.SmallInteger", "sqlalchemy.String", "sqlalchemy.Integer" ]
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""" @author: <NAME> <<EMAIL>> """ import torch import torch.nn as nn import torch.nn.functional as F from src.model.utils import matrix_mul, element_wise_mul class SentAttNet(nn.Module): def __init__(self, sent_hidden_size=50, word_hidden_size=50, num_classes=14): super(SentAttNet, self).__init__() ...
[ "torch.nn.GRU", "torch.nn.functional.softmax", "torch.Tensor", "src.model.utils.matrix_mul", "torch.nn.Linear" ]
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#!/usr/bin/env python # license removed for brevity import rospy from std_msgs.msg import UInt16 def talker(): max_angle = 180 direction = 1 angle = 10 increment = 5 pub = rospy.Publisher('servo', UInt16, queue_size=10) rospy.init_node('talker', anonymous=True) rate = rospy.Rate(10) # 10h...
[ "rospy.is_shutdown", "rospy.init_node", "rospy.Publisher", "rospy.Rate" ]
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from __future__ import print_function import tensorflow as tf import numpy as np from dataset import load_data from nn import nn_utils # Training Parameters learning_rate = 0.001 num_epochs = 1000 batch_size = 20 # Read workload dataset, sequence length and input dimensionality from the workload Matlab matrix data,...
[ "tensorflow.contrib.rnn.GRUCell", "tensorflow.trainable_variables", "tensorflow.reshape", "dataset.load_data", "tensorflow.matmul", "tensorflow.ConfigProto", "tensorflow.contrib.rnn.static_rnn", "tensorflow.split", "tensorflow.GPUOptions", "tensorflow.clip_by_global_norm", "nn.nn_utils.max_pool"...
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import unittest import mock from flashcards.sets import StudySet from flashcards.cards import StudyCard from flashcards import study from flashcards.study import BaseStudySession from flashcards.study import ShuffledStudySession def create_study_set(): """ Create a simple study set for test purposes. """ ca...
[ "flashcards.cards.StudyCard", "mock.patch", "flashcards.study.ShuffledStudySession", "flashcards.study.BaseStudySession", "mock.Mock", "flashcards.sets.StudySet", "flashcards.study.get_study_session_template" ]
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# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the Li...
[ "os.path.exists", "os.path.join", "os.makedirs", "logging.getLogger" ]
[((1023, 1075), 'os.path.join', 'os.path.join', (['settings.STATIC_ROOT', '"""scss"""', '"""assets"""'], {}), "(settings.STATIC_ROOT, 'scss', 'assets')\n", (1035, 1075), False, 'import os\n'), ((1082, 1109), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1099, 1109), False, 'import loggi...
import math import numpy as np from plotly import graph_objects as go from plotly.subplots import make_subplots from src.bsl_python.GUI.visualizations.visualization import Visualization class AllChannelsTRF(Visualization): trf = None list_electrodes = [] height = 0.98 def __init__(self, trf, list_el...
[ "plotly.subplots.make_subplots", "math.floor" ]
[((758, 896), 'plotly.subplots.make_subplots', 'make_subplots', ([], {'rows': 'nb_rows', 'cols': 'nb_cols', 'shared_xaxes': '(False)', 'shared_yaxes': '(False)', 'x_title': '"""Frequency (Hz)"""', 'y_title': '"""Intensity (dB)"""'}), "(rows=nb_rows, cols=nb_cols, shared_xaxes=False, shared_yaxes=\n False, x_title='F...
import os import torch import numpy as np import warnings try: from typing import Protocol except ImportError: # noqa # Python < 3.8 class Protocol: pass from .dsp.overlap_add import LambdaOverlapAdd from .utils import get_device class Separatable(Protocol): """Things that are separatable....
[ "soundfile.read", "os.path.isfile", "librosa.resample", "soundfile.write", "warnings.warn", "torch.no_grad", "torch.from_numpy" ]
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# Copyright (c) 2015-present, Facebook, Inc. # All rights reserved. # # This source code is licensed under the BSD+Patents license found in the # LICENSE file in the root directory of this source tree. #! /usr/bin/env python2 """make sure that the referenced objects are kept""" import numpy as np import unittest imp...
[ "unittest.main", "faiss.IndexIDMap", "faiss.IndexIVFFlat", "faiss.NormalizationTransform", "faiss.IndexBinaryFlat", "sys.getrefcount", "gc.collect", "numpy.random.rand", "faiss.IndexFlatL2", "faiss.IndexPreTransform", "faiss.IndexShards" ]
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__author__ = "shekkizh" import numpy as np from utils.non_neg_qpsolver import non_negative_qpsolver import scipy.sparse as sparse def nnk_graph(G, mask, knn_param, reg=1e-6): ''' Function to generate NNK graph given similarity matrix and mask :param G: Similarity matrix :param mask: each row correspo...
[ "utils.non_neg_qpsolver.non_negative_qpsolver", "numpy.maximum", "numpy.sum", "numpy.argmax", "scipy.sparse.find", "numpy.ix_", "numpy.zeros", "numpy.expand_dims", "numpy.where", "numpy.arange", "numpy.tile", "numpy.dot" ]
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # And changed even more by <NAME> for Apertium, in December 2013. # # Hacked up by <NAME> for use in Guampa, October 2013. # # ============================================================================= # Version: 2.5 (May 9, 2013) # Author: <NAME> (<EMAIL>)...
[ "argparse.ArgumentParser", "re.compile", "bz2.BZ2File", "sys.stdout.flush", "gzip.GzipFile", "re.sub", "sys.exit", "mimetypes.guess_type" ]
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import pytest import numpy as np import os, sys os.path.join(os.path.dirname(os.path.abspath(__file__)),'../../..') from tests.embeddings_pipelines.model.test_models import AbstractTestKeywordExtractionModel sys.path.append( os.path.join(os.path.dirname(os.path.abspath(__file__)),'../../../src') ) from embeddings...
[ "os.path.abspath", "embeddings_pipelines.models.keyword_extraction_models.DummyKeywordExtractionModel" ]
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import sys import os import cobra.io import libsbml from tqdm import tqdm import pandas as pd import re import memote from bioservices.kegg import KEGG import helper_functions as hf ''' Usage: annotate_reactions.py <path_input_sbml-file> <path_output_sbml-file> <path_outfile-tsv_missing_bigg> <path_memote-report> Adds...
[ "pandas.DataFrame", "bioservices.kegg.KEGG", "memote.snapshot_report", "memote.test_model", "pandas.read_csv", "libsbml.SBMLReader", "os.path.exists", "libsbml.SBMLWriter", "re.sub", "sys.exit", "helper_functions.add_link_annotation_reaction" ]
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from argparse import ArgumentParser import codecs import os """ To encode: python /home/david/Escritorio/encoding2multitask.py \ --input /home/david/Escritorio/dataset/ptb/ptb-dev.seq_lu \ --output /tmp/ptb-dev.multitask \ --status encode To decode: python /home/david/Escritorio/encoding2multitask.py \ --input /tmp...
[ "codecs.open", "argparse.ArgumentParser" ]
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# -*- coding: utf-8 -*- # Copyright (c) 2012 <NAME> <<EMAIL>> # License: MIT (see LICENSE.TXT file) from django import forms from django.utils.translation import ugettext as _ from sanitizer.forms import SanitizedCharField from config.settings import SANITIZER_ALLOWED_TAGS, SANITIZER_ALLOWED_ATTRIB...
[ "django.utils.translation.ugettext" ]
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''' ccache Wrapper Copyright (c) 2015 - 2021 Rob "N3X15" Nelson <<EMAIL>> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy...
[ "buildtools.bt_logging.log.info", "buildtools.os_utils.ENV.set", "buildtools.os_utils.ENV.get", "buildtools.os_utils.which" ]
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import logging import os import sys import h5py import argparse import matplotlib as mpl mpl.use('Agg') # Because of an issue in Qt5 causing seg fault import matplotlib.pyplot as plt import numpy as np from PIL import Image import torch from torchvision import datasets, transforms from torch.utils.data import DataLoa...
[ "matplotlib.pyplot.savefig", "argparse.ArgumentParser", "indexedconv.utils.NumpyToTensor", "logging.Formatter", "torchvision.datasets.CIFAR10", "numpy.mean", "torch.arange", "torch.device", "torch.no_grad", "indexedconv.utils.normalize", "torch.utils.data.DataLoader", "indexedconv.utils.get_gp...
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import json import logging import tempfile from slack_sdk import WebClient from slack_sdk.errors import SlackApiError from ...core.model.events import * from ...core.reporting.blocks import * from ...core.reporting.base import * from ...core.reporting.utils import add_pngs_for_all_svgs from ...core.reporting.callbacks...
[ "tempfile.NamedTemporaryFile", "slack_sdk.WebClient", "logging.debug", "logging.error" ]
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import sys import os import argparse import multiprocessing import logging import collections import itertools import traceback from functools import partial import json import base64 import time import pysam import pybedtools from defaults import * from sv_interval import * precise_methods = set(["AS", "SR", "JM"])...
[ "pybedtools.Interval", "base64.b64decode", "json.dumps", "os.path.isfile", "os.path.join", "traceback.print_exc", "os.path.exists", "pybedtools.BedTool", "itertools.product", "collections.Counter", "pybedtools.set_tempdir", "functools.partial", "multiprocessing.current_process", "os.path.g...
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from ConfigSpace.configuration_space import ConfigurationSpace from ConfigSpace.hyperparameters import (CategoricalHyperparameter, UniformIntegerHyperparameter) cs = ConfigurationSpace() n_neighbors = UniformIntegerHyperparameter( name="n_neighbors", lower=1, upper=100, lo...
[ "ConfigSpace.configuration_space.ConfigurationSpace", "ConfigSpace.hyperparameters.CategoricalHyperparameter", "ConfigSpace.hyperparameters.UniformIntegerHyperparameter" ]
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#!/usr/bin/python # Copyright: Ansible Project # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) DOCUMENTATION = ''' --- module: federation_idp_info short_description: Get the information about the available federation identity providers author: OpenStack A...
[ "ansible_collections.openstack.cloud.plugins.module_utils.openstack.openstack_cloud_from_module", "ansible_collections.openstack.cloud.plugins.module_utils.openstack.openstack_module_kwargs", "ansible.module_utils.basic.AnsibleModule" ]
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from helpers import console def record_usage(ctx): if ctx.guild: console.info(f"{ctx.author} used {ctx.command} in {ctx.guild}|#{ctx.channel}") else: console.info(f"{ctx.author} used {ctx.command} in DM")
[ "helpers.console.info" ]
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# -*- coding: utf-8 -*- """ obspy.clients.fdsn - FDSN web service client for ObsPy ====================================================== The obspy.clients.fdsn package contains a client to access web servers that implement the `FDSN web service definitions`_. :copyright: The ObsPy Development Team (<EMAIL>) :lice...
[ "future.utils.native_str", "doctest.testmod" ]
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"""NetApp DataOps Toolkit S3 Data Mover module""" from kubernetes.client import ( V1ConfigMapVolumeSource, V1Container, V1EnvVar, V1EnvVarSource, V1KeyToPath, V1ObjectMeta, V1PersistentVolumeClaimVolumeSource, V1PodSpec, V1PodTemplateSpec, V1ResourceRequirements, V1SecretKey...
[ "netapp_dataops.k8s._get_labels", "netapp_dataops.k8s.create_k8s_opaque_secret", "kubernetes.client.V1PersistentVolumeClaimVolumeSource", "kubernetes.client.V1VolumeMount", "kubernetes.client.V1KeyToPath", "kubernetes.client.V1ResourceRequirements", "netapp_dataops.k8s.delete_k8s_secret", "kubernetes....
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#!/usr/bin/env python # This example demonstrates how to use the vtkPlaneWidget to probe a # dataset and then generate contours on the probed data. import vtk # The sphere and spikes are appended into a single polydata. # This just makes things simpler to manage. apd = vtk.vtkSTLReader() apd.SetFileName("/home/saito...
[ "vtk.vtkRenderer", "vtk.vtkRenderWindow", "vtk.vtkCubeAxesActor2D", "vtk.vtkImplicitPlaneWidget2", "vtk.vtkImplicitPlaneRepresentation", "vtk.vtkTextProperty", "vtk.vtkSTLReader", "vtk.vtkActor", "vtk.vtkOutlineFilter", "vtk.vtkClipPolyData", "vtk.vtkRenderWindowInteractor", "vtk.vtkPlane", ...
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# -*- coding: utf-8 -*- # Generated by Django 1.9.7 on 2017-06-05 14:57 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('problems', '0092_auto_20170605_1412'), ] operations = [ migrations.AlterFiel...
[ "django.db.models.NullBooleanField" ]
[((435, 511), 'django.db.models.NullBooleanField', 'models.NullBooleanField', ([], {'default': 'None', 'verbose_name': '"""initialization success"""'}), "(default=None, verbose_name='initialization success')\n", (458, 511), False, 'from django.db import migrations, models\n')]
from potentiostat import Potentiostat import matplotlib.pyplot as plt port = '/dev/ttyACM0' # Serial port for potentiostat device datafile = 'data.txt' # Output file for time, curr, volt data channel_list = [1,7] test_name = 'cyclic' # The name of the test to run curr_range = '100uA' # The ...
[ "matplotlib.pyplot.subplot", "matplotlib.pyplot.show", "matplotlib.pyplot.plot", "potentiostat.Potentiostat", "matplotlib.pyplot.figure", "matplotlib.pyplot.ylabel", "matplotlib.pyplot.xlabel", "matplotlib.pyplot.grid" ]
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from django.db import models from django.contrib.auth.models import User from stocks.models import Stock # Create your models here. class StockUser(models.Model): stock = models.ForeignKey(Stock, default=None, on_delete=models.PROTECT) user = models.ForeignKey(User, default=None, on_delete=models.PROTECT) ...
[ "django.db.models.ForeignKey", "django.db.models.DecimalField" ]
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import traceback import re from django.core.exceptions import ValidationError from django.db import transaction from wildlifecompliance.components.applications.models import ( ApplicationDocument, ApplicationFormDataRecord, ApplicationSelectedActivity, ) from wildlifecompliance.components.applications.seria...
[ "traceback.print_exc", "wildlifecompliance.components.licences.models.LicencePurpose.objects.filter", "wildlifecompliance.components.applications.models.ApplicationFormDataRecord.objects.get", "re.match", "wildlifecompliance.components.applications.serializers.SaveApplicationSerializer", "django.db.transa...
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from yui.box import Box from yui.box.apps.basic import App from yui.event import Hello def test_box_class(): box = Box() assert not box.apps assert not box.tasks @box.command('test1') async def test1(bot, event): """ TEST SHORT HELP LONG CAT IS LONG """ h1 ...
[ "yui.box.Box" ]
[((121, 126), 'yui.box.Box', 'Box', ([], {}), '()\n', (124, 126), False, 'from yui.box import Box\n')]
import unittest from tests.lib.client import get_client from tests.lib.card_products import CardProducts from tests.lib.card_verifications import verify_card_response class TestCardsCreate(unittest.TestCase): """Tests for the cards.create endpoint.""" @classmethod def setUpClass(cls): """Setup f...
[ "tests.lib.client.get_client", "tests.lib.card_verifications.verify_card_response", "tests.lib.card_products.CardProducts" ]
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# coding: utf-8 from django.utils.translation import ugettext_lazy as _ VIDEO_STATE_PENDING = 0 VIDEO_STATE_INPROGRESS = 1 VIDEO_STATE_ERROR = 2 VIDEO_STATE_SUCCESS = 3 VIDEO_QUALITY_HIGH = 'high' VIDEO_QUALITY_SEMIHIGH = 'semi-high' VIDEO_QUALITY_MEDIUM = 'medium' VIDEO_QUALITY_LOW = 'low' VIDEO_STATES = { VIDE...
[ "django.utils.translation.ugettext_lazy" ]
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from scout.utils.convert import make_bool, convert_number def parse_peddy_ped(lines): """Parse a peddy.ped file Args: lines(iterable(str)) Returns: peddy_ped(list(dict)) """ peddy_ped = [] header = [] for i, line in enumerate(lines): line = line.rstrip() i...
[ "scout.utils.convert.convert_number" ]
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from __future__ import print_function import numpy as np from numpy.testing import * from skimage.transform import * def rescale(x): x = x.astype(float) x -= x.min() x /= x.max() return x def test_radon_iradon(): size = 100 debug = False image = np.tri(size) + np.tri(size)[::-1] for...
[ "numpy.abs", "matplotlib.pyplot.show", "numpy.allclose", "numpy.zeros", "numpy.max", "numpy.arange", "numpy.linspace", "numpy.tri", "matplotlib.pyplot.subplots" ]
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# import json # noqa: F401 from karp.utility.json_schema import create_entry_json_schema CONFIG_PLACES = """{ "resource_id": "places", "resource_name": "Platser i Sverige", "fields": { "name": { "type": "string", "required": true }, "municipality": { "collection": true, "typ...
[ "karp.utility.json_schema.create_entry_json_schema" ]
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# Generated by Django 2.2 on 2020-05-06 14:40 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('common', '0011_managementunit_grid10s'), ] operations = [ migrations.CreateModel( name='FinClip', fields=[ ...
[ "django.db.models.CharField", "django.db.models.AutoField" ]
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"""Dataset module for functions related to an xarray.Dataset.""" import pathlib from functools import partial from glob import glob from typing import Any, Callable, Dict, List, Literal, Optional, Tuple, Union import pandas as pd import xarray as xr from xcdat import bounds # noqa: F401 from xcdat.axis import swap_l...
[ "functools.partial", "xcdat.logger.setup_custom_logger", "xarray.open_dataset", "pandas.to_datetime", "xarray.DataArray", "glob.glob", "xarray.open_mfdataset", "pandas.DateOffset", "xcdat.axis.swap_lon_axis" ]
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import logging import numpy as np from typing import Dict from webserver.tasks import task_keeper from webserver.utilities.configuration import configuration logger = logging.getLogger(__name__) la = None if "prott5_annotations" in configuration['celery']['celery_worker_type']: from bio_embeddings.extract.ligh...
[ "webserver.tasks.task_keeper.task", "bio_embeddings.extract.light_attention.LightAttentionAnnotationExtractor", "logging.getLogger" ]
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# Generated by Django 4.0.3 on 2022-03-15 19:20 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('prohub', '0002_rename_user_project_owner'), ] operations = [ migrations.RemoveField( model_name='profile', name='project', ...
[ "django.db.migrations.RemoveField" ]
[((233, 293), 'django.db.migrations.RemoveField', 'migrations.RemoveField', ([], {'model_name': '"""profile"""', 'name': '"""project"""'}), "(model_name='profile', name='project')\n", (255, 293), False, 'from django.db import migrations\n')]
#! /usr/bin/python3 import sys sys.path.append('../../') from nephelae_paparazzi.missions import MissionFactory, MissionManager from nephelae_paparazzi.missions.rules import ParameterRules, SimpleBounds, AllowedValues, DefaultValue, Length from nephelae_paparazzi.common import messageInterface, PprzMessage def send_...
[ "sys.path.append", "nephelae_paparazzi.common.messageInterface.send", "nephelae_paparazzi.missions.rules.AllowedValues", "nephelae_paparazzi.missions.rules.Length", "nephelae_paparazzi.missions.rules.SimpleBounds", "nephelae_paparazzi.missions.MissionManager", "nephelae_paparazzi.common.PprzMessage" ]
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from django.contrib import admin from .models import Card, EmailStore # Register your models here. admin.site.register(Card) admin.site.register(EmailStore)
[ "django.contrib.admin.site.register" ]
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import json """Demo of serialization and deserialization using JSON""" # Serialize a dict dict_obj = { 'name': 'Tom汤姆', 'age': 22, 'likes': ['dog', 'cat'] } json_str = json.dumps(dict_obj) print(json_str) dict_obj_2 = json.loads(json_str) print(dict_obj_2) # Serialize a class object class Man: def...
[ "json.loads", "json.dumps" ]
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#!/usr/bin/env python # -*- coding:utf-8 -*- import unittest import os from keras.layers.core import Dense import dde from dde.cnn_model import build_model, save_model from dde.layers import MoleculeConv from dde.uncertainty import RandomMask, EnsembleModel class TestCNNModel(unittest.TestCase): def test_buil...
[ "os.mkdir", "os.path.dirname", "os.path.exists", "dde.cnn_model.save_model", "dde.cnn_model.build_model", "shutil.rmtree", "os.path.join" ]
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from tkinter import * from dnd_character_sheet.sheets.Abilities import Abilities finestra = Tk() finestra.geometry('500x300+400+200') finestra.title('D&D CHARACTER SHEET') abilities = Abilities() abilities.strength = 13 abilities.dexterity = 16 abilities.constitution = 14 abilities.intelligence = 11 abilities.wisd...
[ "dnd_character_sheet.sheets.Abilities.Abilities" ]
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# import the necessary packages from keras.models import Model from keras.layers.normalization import BatchNormalization from keras.layers.convolutional import Conv2D from keras.layers.convolutional import MaxPooling2D from keras.layers.core import Activation from keras.layers.core import Dropout from keras.layers.core...
[ "keras.layers.core.Dense", "tensorflow.image.rgb_to_grayscale", "keras.layers.core.Activation", "keras.layers.convolutional.MaxPooling2D", "keras.layers.Flatten", "keras.models.Model", "keras.layers.convolutional.Conv2D", "keras.layers.core.Dropout", "keras.layers.Input", "keras.layers.normalizati...
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import cv2 name="num" path='/home/jelly/catkin_ws/src/Yolo_mark/x64/Release/data/' count=1954 last=1954 while count<=last : try: txt = open(path+name+str(count)+'.txt','r+') print(count) lines = txt.readlines() print(lines) for line in lines: if line[0]=="0": ...
[ "cv2.waitKey" ]
[((792, 808), 'cv2.waitKey', 'cv2.waitKey', (['(500)'], {}), '(500)\n', (803, 808), False, 'import cv2\n')]
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from .admin_saml_groups import * from .apps_local import * from .authentication_users impor...
[ "pulumi.ResourceOptions", "pulumi.runtime.register_resource_module" ]
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"""Construct an array by repeating A the number of times given by reps.""" from __future__ import annotations import numpy import numpy.typing import numpoly from ..baseclass import ndpoly, PolyLike from ..dispatch import implements @implements(numpy.tile) def tile(A: PolyLike, reps: numpy.typing.ArrayLike) -> ndpo...
[ "numpoly.aspolynomial", "numpy.tile" ]
[((1641, 1664), 'numpoly.aspolynomial', 'numpoly.aspolynomial', (['A'], {}), '(A)\n', (1661, 1664), False, 'import numpoly\n'), ((1678, 1709), 'numpy.tile', 'numpy.tile', (['A.values'], {'reps': 'reps'}), '(A.values, reps=reps)\n', (1688, 1709), False, 'import numpy\n'), ((1721, 1773), 'numpoly.aspolynomial', 'numpoly....
# -------------- #Importing header files import pandas as pd import numpy as np import matplotlib.pyplot as plt #Path of the file is stored in the variable path #Code starts here # Data Loading data = pd.read_csv(path) data.rename(columns = {'Total':'Total_Medals'}, inplace = True) data.head(10) # Summer or Winter...
[ "matplotlib.pyplot.title", "pandas.read_csv", "matplotlib.pyplot.bar", "matplotlib.pyplot.legend", "matplotlib.pyplot.figure", "numpy.where", "matplotlib.pyplot.xticks", "matplotlib.pyplot.ylabel", "matplotlib.pyplot.xlabel" ]
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import asyncio import time import os import pathlib default_directory = pathlib.Path(__file__).parent.absolute() async def get_file_extension(): """ docstring """ try: extension = '' lst = [os.path.splitext(x)[1] for x in str(default_directory)] my_final_list = dict.fromk...
[ "asyncio.gather", "pathlib.Path", "asyncio.get_event_loop", "os.path.splitext" ]
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# -*- coding: utf-8 -*- """ Created on Tue Dec 1 10:07:27 2020 @author: <NAME> """ ## from os import path, makedirs ## # A method to create the start for a python class structure with getters and setters for all the attributes.\n # @param module The python module (a.k.a. file) to write the object ...
[ "os.path.exists", "os.makedirs" ]
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# This file is Copyright (c) 2015-2018 <NAME> <<EMAIL>> # This file is Copyright (c) 2017-2018 <NAME> <<EMAIL>> # License: BSD import os import subprocess from litex.build.generic_programmer import GenericProgrammer from litex.build import tools class LatticeProgrammer(GenericProgrammer): needs_bitreverse = Fal...
[ "serial.Serial", "litex.build.generic_programmer.GenericProgrammer.__init__", "subprocess.call", "litex.build.tools.write_to_file" ]
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# -*- coding: utf-8 -*- # Copyright 2011 <NAME> # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...
[ "blockdiag.utils.Box", "blockdiag.utils.Size", "blockdiag.utils.XY", "blockdiag.noderenderer.install_renderer" ]
[((4681, 4713), 'blockdiag.noderenderer.install_renderer', 'install_renderer', (['"""actor"""', 'Actor'], {}), "('actor', Actor)\n", (4697, 4713), False, 'from blockdiag.noderenderer import install_renderer\n'), ((1369, 1414), 'blockdiag.utils.XY', 'XY', (['self.center.x', '(self.center.y - r * 9 // 2)'], {}), '(self.c...
from rest_framework import generics, permissions from rest_framework.response import Response from rest_framework.views import APIView from rest_framework.decorators import api_view from django.views.decorators.csrf import csrf_exempt from .serializers import LoginUserSerializer, UserSerializer, RegisterSerializer, Ch...
[ "knox.models.AuthToken.objects.create", "rest_framework.response.Response", "profile_page.models.Profile.objects.all", "django.http.JsonResponse" ]
[((3357, 3378), 'profile_page.models.Profile.objects.all', 'Profile.objects.all', ([], {}), '()\n', (3376, 3378), False, 'from profile_page.models import Profile\n'), ((3563, 3584), 'profile_page.models.Profile.objects.all', 'Profile.objects.all', ([], {}), '()\n', (3582, 3584), False, 'from profile_page.models import ...
import sys from pybkb.common.bayesianKnowledgeBase import bayesianKnowledgeBase as BKB from pybkb.python_base.reasoning import checkMutex from pybkb.python_base.fusion import fuse from chp.patientBKFProcessor import PatientProcessor from chp.reasoner import Reasoner from chp.query import Query from chp_data.bkb_hand...
[ "chp.reasoner.Reasoner", "pybkb.python_base.reasoning.checkMutex", "chp_data.bkb_handler.BkbDataHandler", "pybkb.common.bayesianKnowledgeBase.bayesianKnowledgeBase" ]
[((379, 384), 'pybkb.common.bayesianKnowledgeBase.bayesianKnowledgeBase', 'BKB', ([], {}), '()\n', (382, 384), True, 'from pybkb.common.bayesianKnowledgeBase import bayesianKnowledgeBase as BKB\n'), ((789, 865), 'chp_data.bkb_handler.BkbDataHandler', 'BkbDataHandler', ([], {'bkb_version': '"""special"""', 'dataset_vers...
#!/usr/bin/env python3 from classes.JsonConfig import loadJsonFile configFile = '../config/config.json' def main(): config = loadJsonFile(configFile) print(config['io']['MoveSteering'][0]) print(config['io']['MoveSteering'][1]) main()
[ "classes.JsonConfig.loadJsonFile" ]
[((129, 153), 'classes.JsonConfig.loadJsonFile', 'loadJsonFile', (['configFile'], {}), '(configFile)\n', (141, 153), False, 'from classes.JsonConfig import loadJsonFile\n')]
from django.conf import settings from django.contrib import admin from django.urls import include, path urlpatterns = [ path("", include("realworld.apps.articles.urls")), path("", include("realworld.apps.accounts.urls")), path("comments/", include("realworld.apps.comments.urls")), path(settings.ADMIN_U...
[ "django.urls.path", "django.urls.include" ]
[((299, 340), 'django.urls.path', 'path', (['settings.ADMIN_URL', 'admin.site.urls'], {}), '(settings.ADMIN_URL, admin.site.urls)\n', (303, 340), False, 'from django.urls import include, path\n'), ((134, 173), 'django.urls.include', 'include', (['"""realworld.apps.articles.urls"""'], {}), "('realworld.apps.articles.url...
""" test RGW with SSL configured on Beast or Civetweb Usage - test_frontends_with_ssl.py -c configs/<input-yaml> where <input-yaml> are test_ssl_civetweb.yaml and test_ssl_beast.yaml Operation: - Create a user taking the inputs for frontends and authentication from the input-yaml - Create a bucket for that user and v...
[ "v2.lib.s3.write_io_info.BasicIOInfoStructure", "v2.lib.s3.auth.Auth", "v2.utils.utils.gen_bucket_name_from_userid", "v2.tests.s3_swift.reusable.create_bucket", "argparse.ArgumentParser", "os.makedirs", "os.path.exists", "v2.lib.resource_op.Config", "v2.lib.s3.write_io_info.IOInfoInitialize", "v2....
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import unittest try: from coding_problems.src.algorithms.binary_search_algorithm import \ binary_search except ImportError as e: from coding_problems.src.algorithms.answers.binary_search_algorithm \ import binary_search class Test_Binary_Search(unittest.TestCase): def test_error_with_tar...
[ "unittest.main", "coding_problems.src.algorithms.answers.binary_search_algorithm.binary_search" ]
[((1228, 1254), 'unittest.main', 'unittest.main', ([], {'verbosity': '(2)'}), '(verbosity=2)\n', (1241, 1254), False, 'import unittest\n'), ((392, 422), 'coding_problems.src.algorithms.answers.binary_search_algorithm.binary_search', 'binary_search', (['None', '[1, 2, 3]'], {}), '(None, [1, 2, 3])\n', (405, 422), False,...
# -*- coding: utf-8 -*- """ db_normalizer.csv_handler.reader ---------------------------------------- Reading toolbox for .csv files. :authors: <NAME>, <NAME>. :licence: MIT, see LICENSE for more details. """ import re from typing import List, Iterator, Optional from pathlib2 import Path from db...
[ "pathlib2.Path", "re.findall" ]
[((642, 657), 'pathlib2.Path', 'Path', (['file_path'], {}), '(file_path)\n', (646, 657), False, 'from pathlib2 import Path\n'), ((1907, 1944), 're.findall', 're.findall', (['Parsing.parse_regex', 'line'], {}), '(Parsing.parse_regex, line)\n', (1917, 1944), False, 'import re\n')]
# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may...
[ "json.load", "cairis.tools.JsonConverter.json_deserialize", "urllib.quote", "cairis.core.Locations.Locations", "cairis.mio.ModelImport.importModelFile", "jsonpickle.decode", "cairis.core.Location.Location", "cairis.mio.ModelImport.importLocationsFile", "logging.getLogger", "jsonpickle.encode" ]
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from pyfiglet import Figlet from . import routine from . import prompt from . import exercises import xlsxwriter @prompt.click.command() def main(): """Generate custom strength, cardio, and HIIT exercise routines using parametric curves""" # splash screen prompt.click.clear() prompt.click.echo(Figlet(...
[ "pyfiglet.Figlet" ]
[((313, 336), 'pyfiglet.Figlet', 'Figlet', ([], {'font': '"""standard"""'}), "(font='standard')\n", (319, 336), False, 'from pyfiglet import Figlet\n')]
import collections # Definition for a binary tree node. class TreeNode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): def verticalTraversal(self, root): """ :type root: TreeNode :rtype: List[List[int]] ...
[ "collections.defaultdict" ]
[((382, 411), 'collections.defaultdict', 'collections.defaultdict', (['list'], {}), '(list)\n', (405, 411), False, 'import collections\n'), ((715, 744), 'collections.defaultdict', 'collections.defaultdict', (['list'], {}), '(list)\n', (738, 744), False, 'import collections\n')]
import io import importlib from dataframe_store import settings def to_csv(fileobj, df, **kwargs): return df.to_csv(fileobj, **kwargs) def to_excel(fileobj, df, **kwargs): return df.to_excel(fileobj, **kwargs) def get_func(func_path=None): module_path = '.'.join(func_path.split('.')[:-1]) func_nam...
[ "io.BytesIO", "io.StringIO", "importlib.import_module" ]
[((362, 398), 'importlib.import_module', 'importlib.import_module', (['module_path'], {}), '(module_path)\n', (385, 398), False, 'import importlib\n'), ((623, 636), 'io.StringIO', 'io.StringIO', ([], {}), '()\n', (634, 636), False, 'import io\n'), ((671, 683), 'io.BytesIO', 'io.BytesIO', ([], {}), '()\n', (681, 683), F...
# ============================================================================== # Copyright 2019 - <NAME> # # NOTICE: Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, ...
[ "tqdm.tqdm", "diplomacy_research.utils.proto.read_next_bytes", "diplomacy_research.utils.proto.bytes_to_zlib", "os.path.exists", "diplomacy_research.models.training.memory_buffer.MemoryBuffer", "diplomacy_research.utils.proto.bytes_to_proto", "pickle.load", "shutil.move", "os.path.join", "logging....
[((1602, 1629), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1619, 1629), False, 'import logging\n'), ((1775, 1809), 'os.path.exists', 'os.path.exists', (['REDIS_DATASET_PATH'], {}), '(REDIS_DATASET_PATH)\n', (1789, 1809), False, 'import os\n'), ((2650, 2664), 'diplomacy_research.model...
# -*- coding: utf-8 -*- """ Url's map for documents board """ from django.conf.urls import * from sveedocuments.views.board import ( BoardIndexView, PreviewView, BoardEditorSettingsView, BoardPagesIndexView, BoardInsertsIndexView ) from sveedocuments.views.board.page import ( PageCreateView, PageEditVi...
[ "sveedocuments.views.board.insert.InsertQuicksaveView.as_view", "sveedocuments.views.board.insert.InsertDeleteView.as_view", "sveedocuments.views.board.page.PageCreateView.as_view", "sveedocuments.views.board.attachment.PageAttachmentDeleteView.as_view", "sveedocuments.views.board.BoardInsertsIndexView.as_v...
[((674, 698), 'sveedocuments.views.board.BoardIndexView.as_view', 'BoardIndexView.as_view', ([], {}), '()\n', (696, 698), False, 'from sveedocuments.views.board import BoardIndexView, PreviewView, BoardEditorSettingsView, BoardPagesIndexView, BoardInsertsIndexView\n'), ((743, 764), 'sveedocuments.views.board.PreviewVie...
from example_app import models from example_app.utils import MutationObjectType, QueryObjectType import graphene from .schemes import UserCreateMutation, UserUpdateMutation class Query(QueryObjectType): class Meta: model_mudule = models class Mutation(MutationObjectType): class Meta: model_m...
[ "graphene.Schema" ]
[((412, 459), 'graphene.Schema', 'graphene.Schema', ([], {'query': 'Query', 'mutation': 'Mutation'}), '(query=Query, mutation=Mutation)\n', (427, 459), False, 'import graphene\n')]
from flask import Flask, render_template, flash, request, jsonify from wtforms import Form, TextField, TextAreaField, validators, StringField, SubmitField import requests import json import logging import requests_toolbelt.adapters.appengine requests_toolbelt.adapters.appengine.monkeypatch() try: # For Python 3.0...
[ "flask.request.args.get", "flask.request.form.get", "flask.Flask", "flask.render_template", "flask.request.get_json" ]
[((643, 658), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (648, 658), False, 'from flask import Flask, render_template, flash, request, jsonify\n'), ((801, 830), 'flask.render_template', 'render_template', (['"""index.html"""'], {}), "('index.html')\n", (816, 830), False, 'from flask import Flask, rende...
import time from cassandra import ConsistencyLevel from cassandra.query import SimpleStatement from assertions import assert_one from dtest import PRINT_DEBUG, Tester, debug from tools import known_failure, rows_to_list, since class TestReadRepair(Tester): def setUp(self): Tester.setUp(self) se...
[ "dtest.debug", "dtest.Tester.setUp", "tools.since", "cassandra.query.SimpleStatement", "time.sleep", "assertions.assert_one", "tools.known_failure" ]
[((472, 613), 'tools.known_failure', 'known_failure', ([], {'failure_source': '"""test"""', 'jira_url': '"""https://issues.apache.org/jira/browse/CASSANDRA-11266"""', 'flaky': '(False)', 'notes': '"""windows"""'}), "(failure_source='test', jira_url=\n 'https://issues.apache.org/jira/browse/CASSANDRA-11266', flaky=Fa...
from flask import Flask from flask_cors import CORS from config import DevConfig, ProdConfig from Resources import api_bp from Models import main_db, mongo_db, mongo_client from Utils.JWT import jwt def create_app(): app = Flask(__name__) app.config.from_object(DevConfig) app.register_blueprint(api_bp, u...
[ "Models.main_db.init_app", "flask_cors.CORS", "flask.Flask", "Models.main_db.create_all", "Utils.JWT.jwt.init_app" ]
[((229, 244), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (234, 244), False, 'from flask import Flask\n'), ((349, 394), 'flask_cors.CORS', 'CORS', (['app'], {'resources': "{'/*': {'origins': '*'}}"}), "(app, resources={'/*': {'origins': '*'}})\n", (353, 394), False, 'from flask_cors import CORS\n'), ((4...
# -*- coding: utf-8 -*- import logging import os import oss2 from oss2.models import PartInfo import json # event format # { # "dest_bucket": "", # "key": "", # "upload_id": "", # "parts":[ # {"part_no": 1, "etag": ""}, # {"part_no": 2, "etag": ""} # ] # } def handler(event, context): logger = lo...
[ "oss2.Bucket", "json.loads", "oss2.Auth", "logging.getLogger", "oss2.models.PartInfo", "oss2.StsAuth" ]
[((318, 337), 'logging.getLogger', 'logging.getLogger', ([], {}), '()\n', (335, 337), False, 'import logging\n'), ((346, 363), 'json.loads', 'json.loads', (['event'], {}), '(event)\n', (356, 363), False, 'import json\n'), ((1113, 1148), 'oss2.Bucket', 'oss2.Bucket', (['auth', 'endpoint', 'bucket'], {}), '(auth, endpoin...
#!/usr/bin/env python3 import logging import os.path import subprocess from typing import List, Tuple, Dict, Any import settings logging.basicConfig( format='%(asctime)s %(levelname)-8s %(name)18s: %(message)s', datefmt='%Y-%m-%d %H:%M:%S', level=logging.DEBUG ) def main(sys: 'System'): screen = Scr...
[ "subprocess.run", "logging.getLogger", "logging.basicConfig" ]
[((131, 272), 'logging.basicConfig', 'logging.basicConfig', ([], {'format': '"""%(asctime)s %(levelname)-8s %(name)18s: %(message)s"""', 'datefmt': '"""%Y-%m-%d %H:%M:%S"""', 'level': 'logging.DEBUG'}), "(format=\n '%(asctime)s %(levelname)-8s %(name)18s: %(message)s', datefmt=\n '%Y-%m-%d %H:%M:%S', level=loggin...
from substraclient import Client from common.utils import Mapping from trainer.substra.testmonai import instantiateMonaiAlgo if __name__ == '__main__': ma, class_names = instantiateMonaiAlgo(0.3, 0.5) client = Client("client2", "localhost:50051") client.bootstrap(ma.model, ma.optimizer) # training an...
[ "trainer.substra.testmonai.instantiateMonaiAlgo", "common.utils.Mapping", "substraclient.Client" ]
[((175, 205), 'trainer.substra.testmonai.instantiateMonaiAlgo', 'instantiateMonaiAlgo', (['(0.3)', '(0.5)'], {}), '(0.3, 0.5)\n', (195, 205), False, 'from trainer.substra.testmonai import instantiateMonaiAlgo\n'), ((219, 255), 'substraclient.Client', 'Client', (['"""client2"""', '"""localhost:50051"""'], {}), "('client...
from django.db import models from Modulos.AreasTrabajo.models import AreasTrabajo from Modulos.Base.models import ModeloBase from django.utils.functional import lazy from django.core.validators import MinValueValidator, MaxValueValidator nivel_estudios = [ ('pri', 'Primaria'), ('sec', 'Secundaria'), ('bac'...
[ "django.db.models.CharField", "django.core.validators.MinValueValidator", "django.db.models.ForeignKey", "django.db.models.DateField" ]
[((492, 533), 'django.db.models.CharField', 'models.CharField', (['"""Nombre"""'], {'max_length': '(50)'}), "('Nombre', max_length=50)\n", (508, 533), False, 'from django.db import models\n'), ((552, 596), 'django.db.models.CharField', 'models.CharField', (['"""Apellidos"""'], {'max_length': '(50)'}), "('Apellidos', ma...
from ._base import SpecificationPrimitiveBase from pmaf.pipe.agents.mediators._metakit import MediatorTaxonomyMetabase from pmaf.pipe.factors._metakit import FactorBackboneMetabase from pmaf.pipe.agents.miners._miner import Miner from pmaf.pipe.agents.dockers._mediums._id_medium import DockerIdentifierMedium from pmaf....
[ "pmaf.pipe.agents.miners._miner.Miner", "pmaf.pipe.agents.dockers._mediums._id_medium.DockerIdentifierMedium" ]
[((1037, 1086), 'pmaf.pipe.agents.miners._miner.Miner', 'Miner', ([], {'mediator': 'mediator', 'factor': 'factor'}), '(mediator=mediator, factor=factor, **kwargs)\n', (1042, 1086), False, 'from pmaf.pipe.agents.miners._miner import Miner\n'), ((1662, 1701), 'pmaf.pipe.agents.dockers._mediums._id_medium.DockerIdentifier...
from django.conf import settings from django.conf.urls import url from .import views urlpatterns = [ url(r'^$', views.hello, name='hello') ]
[ "django.conf.urls.url" ]
[((106, 142), 'django.conf.urls.url', 'url', (['"""^$"""', 'views.hello'], {'name': '"""hello"""'}), "('^$', views.hello, name='hello')\n", (109, 142), False, 'from django.conf.urls import url\n')]
import random import numpy as np import torch from horch.common import CUDA def manual_seed(seed): random.seed(seed) np.random.seed(seed) torch.random.manual_seed(seed) if CUDA: torch.cuda.manual_seed(seed)
[ "numpy.random.seed", "torch.cuda.manual_seed", "random.seed", "torch.random.manual_seed" ]
[((107, 124), 'random.seed', 'random.seed', (['seed'], {}), '(seed)\n', (118, 124), False, 'import random\n'), ((129, 149), 'numpy.random.seed', 'np.random.seed', (['seed'], {}), '(seed)\n', (143, 149), True, 'import numpy as np\n'), ((154, 184), 'torch.random.manual_seed', 'torch.random.manual_seed', (['seed'], {}), '...
import numpy as np from itertools import combinations def multiply_entries(array, n_entries): values = None for combi in combinations(array, n_entries): if sum(combi) == 2020: values = combi break return np.prod(values) if __name__ == '__main__': path_to_data_file = '.....
[ "itertools.combinations", "numpy.genfromtxt", "numpy.prod" ]
[((130, 160), 'itertools.combinations', 'combinations', (['array', 'n_entries'], {}), '(array, n_entries)\n', (142, 160), False, 'from itertools import combinations\n'), ((249, 264), 'numpy.prod', 'np.prod', (['values'], {}), '(values)\n', (256, 264), True, 'import numpy as np\n'), ((353, 396), 'numpy.genfromtxt', 'np....
import numpy as np from constants import * import itertools class Player(): def __init__(self, val): self.val = val def setNext(self): self.val = White if self.val == Black else Black return self.val def get(self): return self.val def rev(self): return White ...
[ "numpy.diag", "numpy.fliplr", "numpy.zeros", "numpy.arange" ]
[((413, 443), 'numpy.zeros', 'np.zeros', (['(8, 8)'], {'dtype': 'np.int'}), '((8, 8), dtype=np.int)\n', (421, 443), True, 'import numpy as np\n'), ((1234, 1258), 'numpy.diag', 'np.diag', (['self.tab', '(j - i)'], {}), '(self.tab, j - i)\n', (1241, 1258), True, 'import numpy as np\n'), ((1538, 1551), 'numpy.arange', 'np...
from bs4 import BeautifulSoup from HTMLParser import HTMLParser import pdb import os import re import requests playstoreLink = None class MyHTMLParser(HTMLParser): def handle_starttag(self, tag, attrs): urlPath = None hasHref = False hasClickTarget = False if playstoreLink is None: if 'a' == tag: for ...
[ "requests.get" ]
[((759, 828), 'requests.get', 'requests.get', (['"""https://play.google.com/store/search?"""'], {'params': 'payload'}), "('https://play.google.com/store/search?', params=payload)\n", (771, 828), False, 'import requests\n')]
# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class CreateLogDumpObsRequestBody: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict)...
[ "huaweicloudsdkcore.utils.http_utils.sanitize_for_serialization", "six.iteritems", "sys.setdefaultencoding" ]
[((8751, 8784), 'six.iteritems', 'six.iteritems', (['self.openapi_types'], {}), '(self.openapi_types)\n', (8764, 8784), False, 'import six\n'), ((9769, 9800), 'sys.setdefaultencoding', 'sys.setdefaultencoding', (['"""utf-8"""'], {}), "('utf-8')\n", (9791, 9800), False, 'import sys\n'), ((9827, 9859), 'huaweicloudsdkcor...
#! user/bin/python3 import bs4,requests,pyperclip,time,os welcome = "Welcom To Musica" print(welcome.center(50, '=')) print("\n\n") err_count = 0 os.makedirs("Musica", exist_ok=True) location = "" while 1: try: print('Initialising...') resi=requests.get('https://mp3skull.la') init = bs4.Beau...
[ "os.makedirs", "time.sleep", "requests.get", "pyperclip.copy", "bs4.BeautifulSoup", "os.path.join" ]
[((146, 182), 'os.makedirs', 'os.makedirs', (['"""Musica"""'], {'exist_ok': '(True)'}), "('Musica', exist_ok=True)\n", (157, 182), False, 'import bs4, requests, pyperclip, time, os\n'), ((1059, 1101), 'bs4.BeautifulSoup', 'bs4.BeautifulSoup', (['res.text', '"""html.parser"""'], {}), "(res.text, 'html.parser')\n", (1076...
""" 1.4. Pedro es un consumidor cuyas preferencias están representadas por la Tasa Marginal de Sustitución 𝑇𝑀𝑆 = 2𝑦/x . Si los precios son 𝑃x = 3 y 𝑃y =1, y tiene un ingreso de $ 180, ¿cuál es la canasta de bienes que maximiza su utilidad? """ # -*- coding: utf-8 -*- import sympy as sp sp.init_printing() m...
[ "sympy.symbols", "sympy.init_printing" ]
[((292, 310), 'sympy.init_printing', 'sp.init_printing', ([], {}), '()\n', (308, 310), True, 'import sympy as sp\n'), ((334, 361), 'sympy.symbols', 'sp.symbols', (['"""m,x,y,px,py,t"""'], {}), "('m,x,y,px,py,t')\n", (344, 361), True, 'import sympy as sp\n')]
# flask from flask import Flask, request, session, g, redirect, url_for, abort, \ render_template, flash, make_response from flask_negotiate import consumes, produces from urllib.parse import urlparse import io, json, logging, os, sqlite3, sys import testdata app = Flask(__name__) app.config.from_object(__name__)...
[ "logging.basicConfig", "flask.request.args.get", "flask.Flask", "testdata.generate_test_address_data", "json.dumps", "logging.info", "sqlite3.connect", "testdata.generate_test_contact", "testdata.generate_test_medical_alarm_data", "flask_negotiate.produces", "testdata.generate_test_sevice_qual_d...
[((272, 287), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (277, 287), False, 'from flask import Flask, request, session, g, redirect, url_for, abort, render_template, flash, make_response\n'), ((4181, 4295), 'logging.basicConfig', 'logging.basicConfig', ([], {'stream': 'sys.stdout', 'level': 'logging.DE...
import csv import requests SOMWANG_BRANCH_DATA_API = "https://www.somwang.co.th/bin/searchBranchServlet" if __name__ == "__main__": body = { "method": "getAllSomwangBranchDetail", } response = requests.post(SOMWANG_BRANCH_DATA_API, json=body) data = response.json() columns = [ "...
[ "requests.post", "csv.DictWriter" ]
[((217, 266), 'requests.post', 'requests.post', (['SOMWANG_BRANCH_DATA_API'], {'json': 'body'}), '(SOMWANG_BRANCH_DATA_API, json=body)\n', (230, 266), False, 'import requests\n'), ((1066, 1109), 'csv.DictWriter', 'csv.DictWriter', (['csvfile'], {'fieldnames': 'columns'}), '(csvfile, fieldnames=columns)\n', (1080, 1109)...
import numpy as np import pandas as pd import scipy from estimagic.optimization.process_constraints import process_constraints from estimagic.optimization.reparametrize import reparametrize_from_internal from estimagic.optimization.reparametrize import reparametrize_to_internal def transform_covariance( params, ...
[ "pandas.DataFrame", "numpy.abs", "estimagic.optimization.process_constraints.process_constraints", "numpy.clip", "pandas.cut", "numpy.random.multivariate_normal", "numpy.array", "numpy.diag", "estimagic.optimization.reparametrize.reparametrize_from_internal" ]
[((1991, 2031), 'estimagic.optimization.process_constraints.process_constraints', 'process_constraints', (['constraints', 'params'], {}), '(constraints, params)\n', (2010, 2031), False, 'from estimagic.optimization.process_constraints import process_constraints\n'), ((3853, 3918), 'pandas.DataFrame', 'pd.DataFrame', ([...
# No shebang line, this module is meant to be imported # # Copyright 2014 Ambient Entertainment GmbH & Co. KG # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/lice...
[ "pyfarm.core.enums.operating_system", "os.path.isfile", "pyfarm.agent.entrypoints.parser.AgentArgumentParser", "os.path.join", "zipfile.is_zipfile", "os.getgid", "pyfarm.agent.logger.getLogger", "pyfarm.agent.entrypoints.utility.start_daemon_posix", "time.sleep", "pyfarm.core.enums.OS.title", "s...
[((1578, 1607), 'pyfarm.agent.logger.getLogger', 'getLogger', (['"""agent.supervisor"""'], {}), "('agent.supervisor')\n", (1587, 1607), False, 'from pyfarm.agent.logger import getLogger\n'), ((2119, 2189), 'pyfarm.agent.entrypoints.parser.AgentArgumentParser', 'AgentArgumentParser', ([], {'description': '"""Start and m...
from secml.testing import CUnitTest from secml.figure import CFigure from secml.ml.classifiers import CClassifierSVM from secml.data.loader import CDLRandom from secml.ml.features.normalization import CNormalizerMinMax class TestCPlot(CUnitTest): """Unit test for TestCPlot.""" def setUp(self): self....
[ "secml.testing.CUnitTest.main", "secml.ml.features.normalization.CNormalizerMinMax", "secml.ml.classifiers.CClassifierSVM", "secml.figure.CFigure", "secml.data.loader.CDLRandom" ]
[((1128, 1144), 'secml.testing.CUnitTest.main', 'CUnitTest.main', ([], {}), '()\n', (1142, 1144), False, 'from secml.testing import CUnitTest\n'), ((326, 342), 'secml.ml.classifiers.CClassifierSVM', 'CClassifierSVM', ([], {}), '()\n', (340, 342), False, 'from secml.ml.classifiers import CClassifierSVM\n'), ((689, 698),...
# -*- coding: utf-8 """ Parts of this code (and in the other modules that define the parser class) are inspired by / taken from the py2js project. Useful links: * https://greentreesnakes.readthedocs.org/en/latest/nodes.html * https://github.com/qsnake/py2js/blob/master/py2js/__init__.py Known limitations for Browse...
[ "re.match", "sys.exc_info" ]
[((1212, 1238), 're.match', 're.match', (['"""^[\\\\.\\\\w]*$"""', 'x'], {}), "('^[\\\\.\\\\w]*$', x)\n", (1220, 1238), False, 'import re\n'), ((1319, 1353), 're.match', 're.match', (['"""^[\\\\.\\\\w]*\\\\(.*\\\\)$"""', 'x'], {}), "('^[\\\\.\\\\w]*\\\\(.*\\\\)$', x)\n", (1327, 1353), False, 'import re\n'), ((6856, 687...
import sys import pandas def generate(s): data = pandas.read_csv('histo.csv') fileout = open(s, 'w') categories, sizes = data.shape colsums = data.sum(axis=0)[1:] total = colsums.sum() adults = 0 fileout.write(str(total) + '\n') fileout.write(str(sizes - 1) + '\n') fileout.write(...
[ "pandas.read_csv" ]
[((55, 83), 'pandas.read_csv', 'pandas.read_csv', (['"""histo.csv"""'], {}), "('histo.csv')\n", (70, 83), False, 'import pandas\n')]
# Generated by Django 2.2.10 on 2020-02-17 11:27 from django.conf import settings from django.contrib.auth.models import User as AuthUser from django.db import migrations from django.db.migrations import RunPython def forwards(apps, schema_editor): User = apps.get_model(*settings.AUTH_USER_MODEL.split(".")) # t...
[ "django.db.migrations.RunPython", "django.conf.settings.AUTH_USER_MODEL.split" ]
[((836, 866), 'django.db.migrations.RunPython', 'RunPython', (['forwards', 'backwards'], {}), '(forwards, backwards)\n', (845, 866), False, 'from django.db.migrations import RunPython\n'), ((279, 314), 'django.conf.settings.AUTH_USER_MODEL.split', 'settings.AUTH_USER_MODEL.split', (['"""."""'], {}), "('.')\n", (309, 31...
# ######################################################################## # This is version 3.0. # We see if we can improve the performance of the delete points # so that we can get some improvement in measurement time ... # ######################################################################## from scipy.ndi...
[ "numpy.meshgrid", "numpy.ones", "scipy.spatial.Voronoi", "numpy.shape", "numpy.array", "scipy.ndimage.filters.convolve", "scipy.ndimage.filters.median_filter", "numpy.sqrt" ]
[((580, 595), 'numpy.ones', 'np.ones', (['(5, 5)'], {}), '((5, 5))\n', (587, 595), True, 'import numpy as np\n'), ((1415, 1426), 'numpy.shape', 'np.shape', (['d'], {}), '(d)\n', (1423, 1426), True, 'import numpy as np\n'), ((1509, 1533), 'scipy.ndimage.filters.median_filter', 'median_filter', (['d'], {'size': '(3)'}), ...
import sys from yamlSupport.YamlConfigurationSupport import YamlConfigurationSupport from googleSheetSupport.GoogleSheetSupport import GoogleSheetSupport from iosSupport.iOSLocalizationSettings import iOSLocalizationSettings def log_menu(): menu = """commands:\n1. cnfg - create default localization.yml\n2. fetch ...
[ "googleSheetSupport.GoogleSheetSupport.GoogleSheetSupport.get_localizations", "yamlSupport.YamlConfigurationSupport.YamlConfigurationSupport.create_default", "yamlSupport.YamlConfigurationSupport.YamlConfigurationSupport.get_config", "iosSupport.iOSLocalizationSettings.iOSLocalizationSettings.create" ]
[((486, 527), 'yamlSupport.YamlConfigurationSupport.YamlConfigurationSupport.create_default', 'YamlConfigurationSupport.create_default', ([], {}), '()\n', (525, 527), False, 'from yamlSupport.YamlConfigurationSupport import YamlConfigurationSupport\n'), ((574, 611), 'yamlSupport.YamlConfigurationSupport.YamlConfigurati...
# A file emp.dat contains data attributes like : ecode, name and salary. # Give function definitions to do the following # a) Write the data of an employee. # b) Read the employee data and display all the # objects on the screen where salary is between 20000 and 30000. import pickle global global_flag, data_1 global_...
[ "pickle.dump", "pickle.load" ]
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"""empty message Revision ID: 394ffd17<PASSWORD>8 Revises: <PASSWORD> Create Date: 2014-07-22 19:06:57.321418 """ # revision identifiers, used by Alembic. revision = '394ffd17<PASSWORD>' down_revision = '4<PASSWORD>' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by ...
[ "alembic.op.drop_index", "alembic.op.create_unique_constraint", "alembic.op.create_index", "alembic.op.drop_constraint" ]
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import pygame import sys import os import pandas as pd from multinherit.multinherit import multi_super from helper import c import datetime """TKINTER PART""" import tkinter as tk import abc #from tkinter import LEFT import doxyplot.doxyplot_core as dp root = tk.Tk() root.withdraw() """ WINDOW_S...
[ "pygame.draw.line", "pygame.event.get", "pygame.mouse.get_pos", "pygame.display.quit", "pygame.font.SysFont", "pygame.display.set_mode", "pygame.event.pump", "inspect.signature", "pygame.display.set_caption", "datetime.datetime.now", "tkinter.Tk", "pygame.quit", "pygame.transform.smoothscale...
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import configparser import os from datetime import datetime from pyspark.sql import SparkSession from pyspark.sql.functions import udf, col, to_date from pyspark.sql.functions import year, month, dayofmonth, hour, weekofyear, date_format, dayofweek, \ monotonically_increasing_id from pyspark.sql.types import Times...
[ "pyspark.sql.functions.dayofmonth", "pyspark.sql.functions.month", "pyspark.sql.SparkSession.builder.config", "pyspark.sql.functions.monotonically_increasing_id", "pyspark.sql.functions.to_date", "pyspark.sql.functions.weekofyear", "pyspark.sql.functions.hour", "datetime.datetime.fromtimestamp", "py...
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