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import struct import numpy as np from .nbt import NBTFile import io class BufferDecoder(object): def __init__(self,bytes) -> None: self.bytes=bytes self.curr=0 def read_var_uint32(self): # 我nm真的有必要为了几个比特省到这种地步吗??uint32最多也就5个比特吧?? i,v=0,0 while i<35: ...
[ "numpy.uint32", "io.BytesIO", "numpy.uint64", "struct.unpack", "struct.pack", "numpy.int32", "numpy.int64" ]
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright (C) IBM Corporation 2018 # # 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 # # U...
[ "yaml.load", "csv.writer", "csv.DictReader", "os.walk", "datetime.datetime.now", "os.path.normpath", "os.path.join" ]
[((3681, 3720), 'os.walk', 'os.walk', (['experiment_path_'], {'topdown': '(True)'}), '(experiment_path_, topdown=True)\n', (3688, 3720), False, 'import os\n'), ((5537, 5583), 'os.walk', 'os.walk', (['self.experiment_rootdir'], {'topdown': '(True)'}), '(self.experiment_rootdir, topdown=True)\n', (5544, 5583), False, 'im...
import numpy as np from pycocotools_local.coco import * import os.path as osp from .utils import to_tensor, random_scale from mmcv.parallel import DataContainer as DC import mmcv from .custom import CustomDataset class CocoDatasetRGB2(CustomDataset): CLASSES = ('microbleed', 'full_bounding_box') def load_a...
[ "numpy.zeros", "numpy.hstack", "numpy.array", "mmcv.parallel.DataContainer", "numpy.random.rand", "mmcv.imrescale", "os.path.join" ]
[((5455, 5502), 'os.path.join', 'osp.join', (['self.img_prefix', "img_info['filename']"], {}), "(self.img_prefix, img_info['filename'])\n", (5463, 5502), True, 'import os.path as osp\n'), ((4019, 4063), 'numpy.array', 'np.array', (['cur_slice_bboxes'], {'dtype': 'np.float32'}), '(cur_slice_bboxes, dtype=np.float32)\n',...
from random import random from math import cos, sin, floor, sqrt, pi, ceil def euclidean_distance(a, b): dx = a[0] - b[0] dy = a[1] - b[1] return sqrt(dx * dx + dy * dy) def poisson_disc_samples(width, height, r, k=5, distance=euclidean_distance, random=random): tau = 2 * pi cellsize = r / sqrt(...
[ "math.sqrt", "math.ceil", "math.floor", "math.sin", "random.random", "math.cos" ]
[((160, 183), 'math.sqrt', 'sqrt', (['(dx * dx + dy * dy)'], {}), '(dx * dx + dy * dy)\n', (164, 183), False, 'from math import cos, sin, floor, sqrt, pi, ceil\n'), ((315, 322), 'math.sqrt', 'sqrt', (['(2)'], {}), '(2)\n', (319, 322), False, 'from math import cos, sin, floor, sqrt, pi, ceil\n'), ((345, 367), 'math.ceil...
from crayon import benchmark benchmark("deepar.yml", "deepar", benchmark_id="deepar_100", runs=100)
[ "crayon.benchmark" ]
[((30, 100), 'crayon.benchmark', 'benchmark', (['"""deepar.yml"""', '"""deepar"""'], {'benchmark_id': '"""deepar_100"""', 'runs': '(100)'}), "('deepar.yml', 'deepar', benchmark_id='deepar_100', runs=100)\n", (39, 100), False, 'from crayon import benchmark\n')]
#!/usr/bin/env python # -*- coding: utf-8 -*- """Python toolkit for generating and analyzing nanostructure data""" from __future__ import absolute_import, division, print_function, \ unicode_literals __docformat__ = 'restructuredtext en' import os import sys import shutil import subprocess from distutils.command...
[ "os.remove", "subprocess.Popen", "distutils.core.setup", "scipy.version.short_version.split", "distutils.command.clean.clean.run", "os.path.exists", "os.walk", "os.environ.get", "imp.load_source", "shutil.rmtree", "numpy.distutils.misc_util.Configuration", "os.path.join", "numpy.version.shor...
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import arcade SCREEN_WIDTH = 600 SCREEN_HEIGHT = 600 MOVEMENT_SPEED = 5 class Player(arcade.Sprite): def update(self): self.center_x += self.change_x if self.left < 0: self.left = 0 elif self.right > SCREEN_WIDTH - 1: self.right = SCREEN_WIDTH - 1 class MyGame(a...
[ "arcade.SpriteList", "arcade.start_render", "arcade.set_background_color", "arcade.run" ]
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import os def get_host(service: str): ''' Retrieves the host. (Helps with debugging locally) - Arguments: - service: a Docker service - Returns: a string of either localhost or a Docker service ''' inside_docker = os.environ.get('IS_DOCKER_CONTAINER', False) return servic...
[ "os.environ.get" ]
[((258, 302), 'os.environ.get', 'os.environ.get', (['"""IS_DOCKER_CONTAINER"""', '(False)'], {}), "('IS_DOCKER_CONTAINER', False)\n", (272, 302), False, 'import os\n')]
#!/usr/bin/env python from build import ninja_common build = ninja_common.Build("fishbowl/body-frame-calc") files = [ 'main.cpp', ] build.build_cmd('auv-body-frame-calc', files, pkg_confs=['eigen3'], auv_deps=[], lflags=[], cflags=[])
[ "build.ninja_common.Build" ]
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from flask import request from flask import abort from flask import url_for from flask import render_template from bson.objectid import ObjectId from certifico import app from certifico import mongo from certifico import redis_queue from certifico.mail import send_email from certifico.forms import CertificateForm d...
[ "certifico.app.config.get", "bson.objectid.ObjectId", "flask.request.args.get", "certifico.mongo.db.certificates.insert_one", "flask.abort", "certifico.forms.CertificateForm" ]
[((356, 373), 'certifico.forms.CertificateForm', 'CertificateForm', ([], {}), '()\n', (371, 373), False, 'from certifico.forms import CertificateForm\n'), ((1290, 1315), 'flask.request.args.get', 'request.args.get', (['"""email"""'], {}), "('email')\n", (1306, 1315), False, 'from flask import request\n'), ((431, 569), ...
''' Created on 2016. 10. 26. @author: "comfact" ''' import re from .model import * def deployACI(desc, verbose=False, debug=False): try: dom_ip = desc['Controller']['ip'] except: exit(1) try: dom_user = desc['Controller']['user'] except: exit(1) try: dom_pwd = desc['Controller...
[ "re.search" ]
[((1247, 1275), 're.search', 're.search', (['"""^[a-z]\\\\w*"""', 'key'], {}), "('^[a-z]\\\\w*', key)\n", (1256, 1275), False, 'import re\n')]
""" Config Reader @author: <NAME> """ #!/usr/bin/python from ConfigParser import ConfigParser class ConfigParse(): ''' This class reads config.ini file and sets the required user inputs in the class attributes. Attributes ---------- 1. word2vec_model Type: str D...
[ "ConfigParser.ConfigParser" ]
[((2107, 2121), 'ConfigParser.ConfigParser', 'ConfigParser', ([], {}), '()\n', (2119, 2121), False, 'from ConfigParser import ConfigParser\n')]
# -*- coding: utf-8 -*- """ Created on Tue Feb 2 12:21:09 2021 @author: Mahmu """ import random import pylab import numpy as np x1 = random.uniform(-1, 1) y1 = random.uniform(-1, 1) print(str(x1) + "\n" + str(y1))
[ "random.uniform" ]
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# -*- coding: utf-8 -*- from django.contrib.gis.db import models from django.contrib.postgres.fields.jsonb import JSONField from django.utils.translation import ugettext_lazy as _ from saywiti.common.models import TimeStampedModel class Level(TimeStampedModel): parent = models.ForeignKey('self', related_name='c...
[ "django.utils.translation.ugettext_lazy", "django.contrib.gis.db.models.ForeignKey", "django.contrib.gis.db.models.PolygonField" ]
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from doppelkopf.toggles import Toggle from datetime import datetime, timedelta toggles_from_db = [ Toggle(name="db-only", enabled=False), Toggle(name="db-and-code", enabled=True), ] toggles_from_code = [ Toggle(name="code-only", enabled=False), Toggle(name="db-and-code", enabled=False), ] def test_...
[ "datetime.datetime.utcnow", "datetime.timedelta", "doppelkopf.toggles.Toggle", "doppelkopf.toggles.Toggle.merge" ]
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import os,random os.environ["KERAS_BACKEND"] = "tensorflow" from PIL import Image from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D import h5py import numpy as np from keras.layers import Input,merge,Lambda from keras.layers.core import Reshape,Dense,Dropout,Activation,Flatten from keras.layers.adva...
[ "keras.layers.core.Reshape", "numpy.ones", "keras.models.Model", "matplotlib.pyplot.figure", "numpy.exp", "numpy.random.normal", "keras.layers.core.Flatten", "keras.layers.Input", "keras.layers.concatenate", "numpy.transpose", "numpy.reshape", "numpy.linspace", "keras.layers.core.Dropout", ...
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#!/usr/bin/env python #-*- coding:utf-8 -*- # Copyright (C) 2011 ~ 2012 Deepin, Inc. # 2011 ~ 2012 Zeng Zhi # # Author: <NAME> <<EMAIL>> # Maintainer: <NAME> <<EMAIL>> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as pu...
[ "gtk.EventBox", "gtk.Entry", "gtk.Window", "utils.alpha_color_hex_to_cairo", "gtk.main_quit", "gtk.VBox", "draw.draw_text", "menu.Menu", "gobject.type_register", "gtk.main", "theme.ui_theme.get_color", "utils.get_content_size", "scrolled_window.ScrolledWindow", "gtk.Button", "gtk.HBox", ...
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from pathlib import Path result_dir = Path().home().joinpath('module_results/bfast_preanalysis') start = """ ### Start date selection Pick the date of the timeseries' start. """ end = """ ### End date selection Pick the date of the timeseries' end. """ select = """ ### Satellite selection Select the satell...
[ "pathlib.Path" ]
[((39, 45), 'pathlib.Path', 'Path', ([], {}), '()\n', (43, 45), False, 'from pathlib import Path\n')]
import sys sys.path.append('../loader') # from unaligned_data_loader import UnalignedDataLoader from datasets.svhn import load_svhn from datasets.mnist import load_mnist from datasets.usps import load_usps # from gtsrb import load_gtsrb # from synth_traffic import load_syntraffic from datasets.create_dataloader impor...
[ "sys.path.append", "datasets.mnist.load_mnist", "datasets.svhn.load_svhn", "datasets.create_dataloader.create_DataLoader", "datasets.usps.load_usps" ]
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import logging import time from aiogram import Dispatcher, types from aiogram.dispatcher.middlewares import BaseMiddleware HANDLED_STR = ["Unhandled", "Handled"] class LoggingMiddleware(BaseMiddleware): def __init__(self, logger=None): if not isinstance(logger, logging.Logger): logger = logg...
[ "logging.getLogger", "time.time" ]
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from dataclasses import dataclass, field from typing import Any @dataclass class Response(object): ok: bool = field(default=False) data: Any = field(default=None) message: str = field(default='')
[ "dataclasses.field" ]
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from django.db import models class About(models.Model): about_image = models.ImageField(upload_to="about/") about_exp1 = models.TextField(blank=True, null=True) about_exp2 = models.TextField(blank=True, null=True) class Programms(models.Model): name = models.CharField(max_length=255) icon = mode...
[ "django.db.models.ImageField", "django.db.models.TextField", "django.db.models.CharField" ]
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import asyncio import logging import importlib.util import os.path import sys # Debug import traceback from jshbot import commands from jshbot.exceptions import ErrorTypes, BotException EXCEPTION = 'Plugins' def add_plugins(bot): """ Gets a list of all of the plugins and stores them as a key/value pair of ...
[ "sys.path.append", "logging.error", "traceback.print_exc", "logging.debug", "jshbot.base.get_commands", "jshbot.commands.add_commands", "traceback.format_exc", "jshbot.exceptions.BotException" ]
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import zmq from zmq import ssh import numpy as np from environments.inmoov.inmoov_p2p_client_ready import InmoovGymEnv from .inmoov_server import server_connection, client_ssh_connection, client_connection SERVER_PORT = 7777 HOSTNAME = 'localhost' def send_array(socket, A, flags=0, copy=True, track=False): """se...
[ "numpy.zeros", "environments.inmoov.inmoov_p2p_client_ready.InmoovGymEnv", "numpy.array" ]
[((972, 1026), 'environments.inmoov.inmoov_p2p_client_ready.InmoovGymEnv', 'InmoovGymEnv', ([], {'debug_mode': '(True)', 'positional_control': '(True)'}), '(debug_mode=True, positional_control=True)\n', (984, 1026), False, 'from environments.inmoov.inmoov_p2p_client_ready import InmoovGymEnv\n'), ((655, 684), 'numpy.ze...
# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html import pymongo from scrapy.conf import settings class BaiduPipeline(object): def __init__(self): host = settings[...
[ "pymongo.MongoClient" ]
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# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name: execCmd Description : Author : liaozhaoyan date: 2022/3/19 ------------------------------------------------- Change Activity: 2022/3/19: -----------------------------------------...
[ "os.read", "os.popen", "os.path.exists", "shlex.split", "select.epoll" ]
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import importlib import json import logging import os import subprocess from typing import Any, Dict, NamedTuple, Tuple from django.apps import AppConfig from django.conf import settings from . import ( definitions_registry, extract_views_from_urlpatterns, global_types, template_registry, type_reg...
[ "subprocess.Popen", "os.makedirs", "importlib.import_module", "hashlib.sha1", "os.path.exists", "json.dumps", "os.environ.get", "logging.getLogger" ]
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import threading from pynput import keyboard class KeyPresses(): def __init__(self): self.keep_from_dying_thread = None self.holding_shift = False self.key_listener = keyboard.Listener(on_press=self.on_keydown, on_release=self.on_keyup) self.key_listener.start() def on_keydow...
[ "threading.Timer", "pynput.keyboard.Listener" ]
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from precise_bbcode.bbcode.tag import BBCodeTag from precise_bbcode.tag_pool import tag_pool class LoadDummyTag(BBCodeTag): name = 'loaddummy01' definition_string = '[loaddummy01]{TEXT}[/loaddummy01]' format_string = '<loaddummy>{TEXT}</loaddummy>' tag_pool.register_tag(LoadDummyTag)
[ "precise_bbcode.tag_pool.tag_pool.register_tag" ]
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# coding=utf-8 """ Tencent is pleased to support the open source community by making BK-LOG 蓝鲸日志平台 available. Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved. BK-LOG 蓝鲸日志平台 is licensed under the MIT License. License for BK-LOG 蓝鲸日志平台: ---------------------------------------------------------...
[ "django.db.models.ForeignKey", "django.db.models.Q", "datetime.datetime.strptime", "pipeline.service.task_service.get_state", "functools.reduce", "django.utils.translation.ugettext_lazy" ]
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from functools import wraps import os import tempfile import tarfile def TemporaryDirectory(func): '''This decorator creates temporary directory and wraps given fuction''' @wraps(func) def wrapper(*args, **kwargs): cwd = os.getcwd() with tempfile.TemporaryDirectory() as tmp_path: ...
[ "tempfile.TemporaryDirectory", "os.path.basename", "os.getcwd", "functools.wraps", "tarfile.open", "os.chdir" ]
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from django.urls import reverse from series_tiempo_ar_api.apps.api.tests.endpoint_tests.endpoint_test_case import EndpointTestCase class PaginationTests(EndpointTestCase): def test_get_single_value(self): resp = self.client.get(reverse('api:series:series'), data={'ids': self.increasing_month_series_id, ...
[ "django.urls.reverse" ]
[((244, 272), 'django.urls.reverse', 'reverse', (['"""api:series:series"""'], {}), "('api:series:series')\n", (251, 272), False, 'from django.urls import reverse\n')]
# standard lib from functools import wraps # third party packages from flask import Flask, jsonify, abort, request, Response from flask.ext.sqlalchemy import SQLAlchemy app = Flask(__name__) app.debug = True app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.db' app.secret_key = '<KEY>' db = SQLAlchemy(app) # ...
[ "flask.ext.sqlalchemy.SQLAlchemy", "flask.Flask", "flask.abort", "flask.jsonify", "functools.wraps", "flask.Response" ]
[((177, 192), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (182, 192), False, 'from flask import Flask, jsonify, abort, request, Response\n'), ((300, 315), 'flask.ext.sqlalchemy.SQLAlchemy', 'SQLAlchemy', (['app'], {}), '(app)\n', (310, 315), False, 'from flask.ext.sqlalchemy import SQLAlchemy\n'), ((105...
""" Automatic 2D class selection tool. MIT License Copyright (c) 2019 <NAME> Institute of Molecular Physiology 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 with...
[ "h5py.File", "numpy.abs", "numpy.nan_to_num", "os.path.basename", "numpy.std", "scipy.fftpack.fftshift", "os.path.isdir", "numpy.flipud", "numpy.fliplr", "os.path.isfile", "numpy.mean", "scipy.fftpack.fft2", "PIL.Image.fromarray", "h5py.is_hdf5", "os.path.join", "os.listdir", "mrcfil...
[((1861, 1913), 'numpy.sqrt', 'np.sqrt', (['((X - center[0]) ** 2 + (Y - center[1]) ** 2)'], {}), '((X - center[0]) ** 2 + (Y - center[1]) ** 2)\n', (1868, 1913), True, 'import numpy as np\n'), ((2499, 2516), 'scipy.fftpack.fft2', 'fftpack.fft2', (['img'], {}), '(img)\n', (2511, 2516), False, 'from scipy import fftpack...
# Generated by Django 2.1.7 on 2019-02-15 07:55 from django.db import migrations class Migration(migrations.Migration): dependencies = [("question", "0005_merge_20190215_0616")] operations = [ migrations.RemoveField(model_name="answer", name="is_visible"), migrations.RemoveField(model_name=...
[ "django.db.migrations.RemoveField" ]
[((214, 276), 'django.db.migrations.RemoveField', 'migrations.RemoveField', ([], {'model_name': '"""answer"""', 'name': '"""is_visible"""'}), "(model_name='answer', name='is_visible')\n", (236, 276), False, 'from django.db import migrations\n'), ((286, 349), 'django.db.migrations.RemoveField', 'migrations.RemoveField',...
""" Plugin for better notifications with actions. HexChat Python Interface: http://hexchat.readthedocs.io/en/latest/script_python.html IRC String Formatting: https://github.com/myano/jenni/wiki/IRC-String-Formatting """ import logging import re import subprocess import sys from os import path import dbus import hexc...
[ "os.path.expanduser", "hexchat.hook_unload", "logging.error", "dbus.SessionBus", "sys.__excepthook__", "logging.debug", "logging.warning", "hexchat.hook_print", "hexchat.command", "hexchat.get_info", "logging.info", "dbus.Interface", "re.sub" ]
[((4898, 4986), 'logging.info', 'logging.info', (['"""HexChat notification plugin starting =============================="""'], {}), "(\n 'HexChat notification plugin starting ==============================')\n", (4910, 4986), False, 'import logging\n'), ((5074, 5131), 'logging.info', 'logging.info', (['"""Setting c...
import csv from ...utils import quiet_remove from ..delimited import cant_handle_hint from ..processing_instructions import ProcessingInstructions from ..records_format import DelimitedRecordsFormat from records_mover.mover_types import _assert_never import logging from typing import Set, Dict logger = logging.getLog...
[ "records_mover.mover_types._assert_never", "logging.getLogger" ]
[((306, 333), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (323, 333), False, 'import logging\n'), ((1811, 1839), 'records_mover.mover_types._assert_never', '_assert_never', (['hints.quoting'], {}), '(hints.quoting)\n', (1824, 1839), False, 'from records_mover.mover_types import _assert...
from raptiformica.actions.prune import ensure_neighbour_removed_from_config_by_host from tests.testcase import TestCase class TestEnsureNeighbourRemovedFromConfigByHost(TestCase): def setUp(self): self._del_neighbour_by_key = self.set_up_patch( 'raptiformica.actions.prune._del_neighbour_by_key...
[ "raptiformica.actions.prune.ensure_neighbour_removed_from_config_by_host" ]
[((432, 487), 'raptiformica.actions.prune.ensure_neighbour_removed_from_config_by_host', 'ensure_neighbour_removed_from_config_by_host', (['"""1.2.3.4"""'], {}), "('1.2.3.4')\n", (476, 487), False, 'from raptiformica.actions.prune import ensure_neighbour_removed_from_config_by_host\n')]
from math import cos, sin import numpy as np from ....simulator import Agent from .quintic_polynomials_planner import quinic_polynomials_planner class TeacherQuinticPolynomials(Agent): def learn(self, state, action): raise NotImplementedError() def explore(self, state, horizon=1): raise NotI...
[ "numpy.array", "math.cos", "math.sin" ]
[((953, 976), 'numpy.array', 'np.array', (['trajectory[3]'], {}), '(trajectory[3])\n', (961, 976), True, 'import numpy as np\n'), ((1292, 1303), 'math.cos', 'cos', (['action'], {}), '(action)\n', (1295, 1303), False, 'from math import cos, sin\n'), ((1343, 1354), 'math.sin', 'sin', (['action'], {}), '(action)\n', (1346...
# Copyright 2021 Huawei Technologies Co., Ltd # # 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...
[ "os.listdir", "mindspore.context.set_context", "mindspore.ops.Argmax", "numpy.random.seed", "argparse.ArgumentParser", "mindspore.ops.ExpandDims", "numpy.fromfile", "mindspore.ops.L2Normalize", "mindspore.Tensor", "mindspore.ops.BatchMatMul", "functools.reduce", "os.path.join", "src.util.Ave...
[((1547, 1585), 'functools.reduce', 'reduce', (['(lambda x, y: x * y)', 'shot_shape'], {}), '(lambda x, y: x * y, shot_shape)\n', (1553, 1585), False, 'from functools import reduce\n'), ((1602, 1641), 'functools.reduce', 'reduce', (['(lambda x, y: x * y)', 'query_shape'], {}), '(lambda x, y: x * y, query_shape)\n', (16...
from picamera import PiCamera from picamera.exc import PiCameraMMALError from time import sleep from io import StringIO from glob import glob from os.path import getsize if __name__ == "__main__": tries = 0 while tries < 5: try: cam = PiCamera(camera_num=0) except PiCameraMMALError...
[ "io.StringIO", "os.path.getsize", "time.sleep", "glob.glob", "picamera.PiCamera" ]
[((511, 519), 'time.sleep', 'sleep', (['(4)'], {}), '(4)\n', (516, 519), False, 'from time import sleep\n'), ((542, 552), 'io.StringIO', 'StringIO', ([], {}), '()\n', (550, 552), False, 'from io import StringIO\n'), ((265, 287), 'picamera.PiCamera', 'PiCamera', ([], {'camera_num': '(0)'}), '(camera_num=0)\n', (273, 287...
from redis.client import Redis redis = Redis() __all__ = ['redis']
[ "redis.client.Redis" ]
[((40, 47), 'redis.client.Redis', 'Redis', ([], {}), '()\n', (45, 47), False, 'from redis.client import Redis\n')]
""" [2020-02-03] Modified version of the original qcodes.plots.colors Mofied by <NAME> for Measurement Control It modules makes available all the colors maps from the qcodes, context menu of the color bar from pyqtgraph, the circular colormap created by me (Victo), and the reversed version of all of them. Feel free t...
[ "pycqed.analysis.tools.plotting.make_anglemap45_colorlist" ]
[((7886, 7931), 'pycqed.analysis.tools.plotting.make_anglemap45_colorlist', 'make_anglemap45_colorlist', ([], {'N': '(9)', 'use_hpl': '(False)'}), '(N=9, use_hpl=False)\n', (7911, 7931), False, 'from pycqed.analysis.tools.plotting import make_anglemap45_colorlist\n')]
import django from channels.routing import ProtocolTypeRouter from baserow.ws.routers import websocket_router from django.core.asgi import get_asgi_application django.setup() django_asgi_app = get_asgi_application() application = ProtocolTypeRouter( {"http": django_asgi_app, "websocket": websocket_router} )
[ "django.setup", "django.core.asgi.get_asgi_application", "channels.routing.ProtocolTypeRouter" ]
[((164, 178), 'django.setup', 'django.setup', ([], {}), '()\n', (176, 178), False, 'import django\n'), ((198, 220), 'django.core.asgi.get_asgi_application', 'get_asgi_application', ([], {}), '()\n', (218, 220), False, 'from django.core.asgi import get_asgi_application\n'), ((236, 312), 'channels.routing.ProtocolTypeRou...
###################################################################################################################### # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # ...
[ "re.compile", "datetime.date.today", "logging.getLogger", "boto3.client" ]
[((1621, 1640), 'logging.getLogger', 'logging.getLogger', ([], {}), '()\n', (1638, 1640), False, 'import re, boto3, logging, os\n'), ((3740, 3759), 'boto3.client', 'boto3.client', (['"""sts"""'], {}), "('sts')\n", (3752, 3759), False, 'import re, boto3, logging, os\n'), ((2393, 2414), 're.compile', 're.compile', (['"""...
import torch import torch.nn as nn import torch.nn.functional as F from utils.box_utils import match class MultiBoxLoss_combined(nn.Module): """SSD Weighted Loss Function Compute Targets: 1) Produce Confidence Target Indices by matching ground truth boxes with (default) 'priorboxes' that h...
[ "torch.sum", "torch.cat", "torch.exp", "torch.clamp", "torch.Tensor", "torch.no_grad", "torch.nn.functional.smooth_l1_loss", "torch.BoolTensor", "utils.box_utils.match" ]
[((3576, 3624), 'torch.nn.functional.smooth_l1_loss', 'F.smooth_l1_loss', (['loc_p', 'loc_t'], {'reduction': '"""none"""'}), "(loc_p, loc_t, reduction='none')\n", (3592, 3624), True, 'import torch.nn.functional as F\n'), ((5193, 5225), 'torch.cat', 'torch.cat', (['(logit_0, logit_k)', '(1)'], {}), '((logit_0, logit_k),...
import logging import os import re import uuid from typing import List, Optional, FrozenSet import pytest import argclass class TestBasics: class Parser(argclass.Parser): integers: List[int] = argclass.Argument( "integers", type=int, nargs=argclass.Nargs.ONE_OR_MORE, metavar="N",...
[ "uuid.uuid4", "argclass.Argument", "os.environ.pop", "pytest.raises" ]
[((9310, 9341), 'os.environ.pop', 'os.environ.pop', (['"""TEST_REQUIRED"""'], {}), "('TEST_REQUIRED')\n", (9324, 9341), False, 'import os\n'), ((209, 338), 'argclass.Argument', 'argclass.Argument', (['"""integers"""'], {'type': 'int', 'nargs': 'argclass.Nargs.ONE_OR_MORE', 'metavar': '"""N"""', 'help': '"""an integer f...
# Copyright (c) OpenMMLab. All rights reserved. import warnings from mmcv.utils import Registry, build_from_cfg PRIOR_GENERATORS = Registry('Generator for anchors and points') ANCHOR_GENERATORS = PRIOR_GENERATORS def build_prior_generator(cfg, default_args=None): return build_from_cfg(cfg, PRIOR_GEN...
[ "warnings.warn", "mmcv.utils.build_from_cfg", "mmcv.utils.Registry" ]
[((138, 182), 'mmcv.utils.Registry', 'Registry', (['"""Generator for anchors and points"""'], {}), "('Generator for anchors and points')\n", (146, 182), False, 'from mmcv.utils import Registry, build_from_cfg\n'), ((291, 342), 'mmcv.utils.build_from_cfg', 'build_from_cfg', (['cfg', 'PRIOR_GENERATORS', 'default_args'], ...
""" System tests. <NAME> <<EMAIL>> """ import os import re import sh from . import utils def test_stdout(): """Verify stdout and stderr. pytest docs on capturing stdout and stderr https://pytest.readthedocs.io/en/2.7.3/capture.html """ mailmerge_cmd = sh.Command("mailmerge") output = mailmer...
[ "re.sub", "os.path.join", "sh.Command" ]
[((276, 299), 'sh.Command', 'sh.Command', (['"""mailmerge"""'], {}), "('mailmerge')\n", (286, 299), False, 'import sh\n'), ((853, 884), 're.sub', 're.sub', (['"""Date.*\\\\n"""', '""""""', 'stdout'], {}), "('Date.*\\\\n', '', stdout)\n", (859, 884), False, 'import re\n'), ((350, 401), 'os.path.join', 'os.path.join', ([...
import argparse import torch import cv2 import os import torch.nn.parallel import modules, net, resnet, densenet, senet import numpy as np import loaddata_demo as loaddata import pdb import argparse from volume import get_volume from mask import get_mask import matplotlib.image import matplotlib.pyplot as plt parser ...
[ "argparse.ArgumentParser", "net.model", "os.path.join", "loaddata_demo.readNyu2", "torch.load", "os.path.exists", "senet.senet154", "mask.get_mask", "cv2.resize", "densenet.densenet161", "modules.E_senet", "torch.autograd.Variable", "cv2.applyColorMap", "os.makedirs", "modules.E_resnet",...
[((322, 371), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""KD-network"""'}), "(description='KD-network')\n", (345, 371), False, 'import argparse\n'), ((1874, 1894), 'cv2.imread', 'cv2.imread', (['args.img'], {}), '(args.img)\n', (1884, 1894), False, 'import cv2\n'), ((1914, 1941), 'loa...
# Generated by Django 2.1.5 on 2019-09-11 07:50 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('features', '0016_auto_20190605_1830'), ] operations = [ migrations.AlterField( model_name='feature', name='apps', ...
[ "django.db.models.ManyToManyField" ]
[((336, 444), 'django.db.models.ManyToManyField', 'models.ManyToManyField', ([], {'related_name': '"""app_features"""', 'to': '"""applications.Application"""', 'verbose_name': '"""关联应用"""'}), "(related_name='app_features', to=\n 'applications.Application', verbose_name='关联应用')\n", (358, 444), False, 'from django.db ...
from django.db import models from django.utils import timezone from django.utils.text import slugify from django.utils.translation import gettext_lazy as _ from modelcluster.fields import ParentalKey from modelcluster.models import ClusterableModel from wagtail.core.fields import RichTextField from hextech_core.core.m...
[ "django.db.models.ManyToManyField", "modelcluster.fields.ParentalKey", "django.utils.translation.gettext_lazy", "django.db.models.ForeignKey", "django.db.models.CharField", "django.utils.timezone.now", "django.db.models.SlugField", "django.db.models.BooleanField", "django.utils.text.slugify", "hex...
[((567, 679), 'django.db.models.ForeignKey', 'models.ForeignKey', (['"""self"""'], {'on_delete': 'models.PROTECT', 'related_name': '"""child_categories"""', 'null': '(True)', 'blank': '(True)'}), "('self', on_delete=models.PROTECT, related_name=\n 'child_categories', null=True, blank=True)\n", (584, 679), False, 'fr...
import torch import torch.nn.functional as F import torch.utils.data import torch.utils.data from models.base_models import OCModel, PUModelRandomBatch from models.classifiers import Net device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # code DROCC is borrowed from https://github.com/microsoft/...
[ "torch.autograd.grad", "torch.nn.functional.binary_cross_entropy_with_logits", "torch.randn", "torch.squeeze", "torch.clamp", "torch.cuda.is_available", "torch.enable_grad", "torch.zeros", "torch.no_grad" ]
[((221, 246), 'torch.cuda.is_available', 'torch.cuda.is_available', ([], {}), '()\n', (244, 246), False, 'import torch\n'), ((1157, 1178), 'torch.squeeze', 'torch.squeeze', (['target'], {}), '(target)\n', (1170, 1178), False, 'import torch\n'), ((1358, 1386), 'torch.squeeze', 'torch.squeeze', (['logits'], {'dim': '(1)'...
import argparse import asyncio import logging import datetime import sys import json from aiofile import AIOFile async def read_from_socket(host, port): timer = 0 reader, writer = None, None async with AIOFile("text.txt", 'a') as _file: while True: try: if not reader o...
[ "logging.error", "logging.debug", "argparse.ArgumentParser", "json.loads", "logging.basicConfig", "logging.warning", "asyncio.open_connection", "asyncio.sleep", "logging.info", "aiofile.AIOFile", "datetime.datetime.now", "sys.exit" ]
[((2552, 2570), 'json.loads', 'json.loads', (['answer'], {}), '(answer)\n', (2562, 2570), False, 'import json\n'), ((2615, 2635), 'logging.debug', 'logging.debug', (['token'], {}), '(token)\n', (2628, 2635), False, 'import logging\n'), ((3093, 3132), 'logging.basicConfig', 'logging.basicConfig', ([], {'level': 'logging...
# 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! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
[ "pulumi.get", "pulumi.getter", "pulumi.set", "pulumi.InvokeOptions", "pulumi.runtime.invoke" ]
[((2597, 2632), 'pulumi.getter', 'pulumi.getter', ([], {'name': '"""compartmentId"""'}), "(name='compartmentId')\n", (2610, 2632), False, 'import pulumi\n'), ((2818, 2851), 'pulumi.getter', 'pulumi.getter', ([], {'name': '"""definedTags"""'}), "(name='definedTags')\n", (2831, 2851), False, 'import pulumi\n'), ((3484, 3...
import unittest from flask.ext.imagine.filters.interface import ImagineFilterInterface class TestImagineFilterInterface(unittest.TestCase): interface = None def setUp(self): self.interface = ImagineFilterInterface() def test_not_implemented_apply_method(self): with self.assertRaises(NotI...
[ "flask.ext.imagine.filters.interface.ImagineFilterInterface" ]
[((210, 234), 'flask.ext.imagine.filters.interface.ImagineFilterInterface', 'ImagineFilterInterface', ([], {}), '()\n', (232, 234), False, 'from flask.ext.imagine.filters.interface import ImagineFilterInterface\n')]
#!/usr/bin/env python3 """Separates Altera's junky concatenated CSV files into unique files We do this in two steps: 1. Move all existing *.txt files to *.tmp files 2. Go through and break up at the start of each CSV file into a new file """ import os import sys from pathlib import Path def main(root: str): ro...
[ "os.getcwd", "pathlib.Path" ]
[((330, 340), 'pathlib.Path', 'Path', (['root'], {}), '(root)\n', (334, 340), False, 'from pathlib import Path\n'), ((1473, 1484), 'os.getcwd', 'os.getcwd', ([], {}), '()\n', (1482, 1484), False, 'import os\n')]
# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals from django.contrib import admin from .. import models from .bind import BindAdmin admin.site.register(models.Bind, BindAdmin)
[ "django.contrib.admin.site.register" ]
[((165, 208), 'django.contrib.admin.site.register', 'admin.site.register', (['models.Bind', 'BindAdmin'], {}), '(models.Bind, BindAdmin)\n', (184, 208), False, 'from django.contrib import admin\n')]
import torch import torch.nn as nn import torch.nn.functional as F from torch.nn import utils import math class conv5x5(nn.Module): def __init__(self, in_channels, out_channels, stride=1, dilation=1): super(conv5x5, self).__init__() self.conv = nn.Conv2d(in_channels, out_channels, kernel_size=5, s...
[ "torch.nn.init._calculate_fan_in_and_fan_out", "torch.nn.ReLU", "math.sqrt", "torch.nn.utils.spectral_norm", "torch.nn.Conv2d", "torch.nn.Unfold", "torch.nn.init.uniform_", "torch.nn.init.constant_", "torch.Tensor", "torch.nn.functional.pixel_shuffle", "torch.nn.functional.elu" ]
[((267, 391), 'torch.nn.Conv2d', 'nn.Conv2d', (['in_channels', 'out_channels'], {'kernel_size': '(5)', 'stride': 'stride', 'padding': '(2 * dilation)', 'dilation': 'dilation', 'bias': '(False)'}), '(in_channels, out_channels, kernel_size=5, stride=stride, padding=\n 2 * dilation, dilation=dilation, bias=False)\n', (...
import pytest from dvc.dvcfile import Lockfile, LockfileCorruptedError from dvc.stage import PipelineStage from dvc.utils.serialize import dump_yaml def test_stage_dump_no_outs_deps(tmp_dir, dvc): stage = PipelineStage(name="s1", repo=dvc, path="path", cmd="command") lockfile = Lockfile(dvc, "path.lock") ...
[ "dvc.stage.PipelineStage", "dvc.utils.serialize.dump_yaml", "pytest.raises", "dvc.dvcfile.Lockfile", "pytest.mark.parametrize" ]
[((1797, 2037), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""corrupt_data"""', "[{'s1': {'outs': []}}, {'s1': {}}, {'s1': {'cmd': 'command', 'outs': [{\n 'md5': 'checksum', 'path': 'path', 'random': 'value'}]}}, {'s1': {'cmd':\n 'command', 'deps': [{'md5': 'checksum'}]}}]"], {}), "('corrupt_data', ...
# Import modulov import numpy as np import matplotlib.pyplot as plt from matplotlib import rc rc('text', usetex=True) # Výpočtová oblasť xmin = -1.0 xmax = 1.0 xn = 101 # Počet vzorkovacích bodov funkcie "f" na intervale "[xmin, xmax]" ymin = xmin ymax = xmax yn = xn # Počet vzorkovacích bodov funkc...
[ "matplotlib.rc", "matplotlib.pyplot.show", "numpy.abs", "numpy.sin", "numpy.linspace", "numpy.cos", "matplotlib.pyplot.subplots" ]
[((94, 117), 'matplotlib.rc', 'rc', (['"""text"""'], {'usetex': '(True)'}), "('text', usetex=True)\n", (96, 117), False, 'from matplotlib import rc\n'), ((783, 830), 'matplotlib.pyplot.subplots', 'plt.subplots', ([], {'figsize': '(12.0 / 2.54, 8.0 / 2.54)'}), '(figsize=(12.0 / 2.54, 8.0 / 2.54))\n', (795, 830), True, '...
import requests from bs4 import BeautifulSoup from selenium import webdriver # url = 'https://fontawesome.com/cheatsheet/pro' # req = requests.get(url) # markup = req.text # print(markup) from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expe...
[ "bs4.BeautifulSoup", "selenium.webdriver.support.expected_conditions.presence_of_element_located", "selenium.webdriver.support.ui.WebDriverWait", "selenium.webdriver.Chrome" ]
[((453, 471), 'selenium.webdriver.Chrome', 'webdriver.Chrome', ([], {}), '()\n', (469, 471), False, 'from selenium import webdriver\n'), ((1565, 1623), 'bs4.BeautifulSoup', 'BeautifulSoup', (['browser.page_source'], {'features': '"""html.parser"""'}), "(browser.page_source, features='html.parser')\n", (1578, 1623), Fal...
import requests result = requests.post( "https://asia-northeast1-mlops-331003.cloudfunctions.net/function-1", json={"msg": "Hello from cloud functions"}, ) print(result.json())
[ "requests.post" ]
[((28, 164), 'requests.post', 'requests.post', (['"""https://asia-northeast1-mlops-331003.cloudfunctions.net/function-1"""'], {'json': "{'msg': 'Hello from cloud functions'}"}), "(\n 'https://asia-northeast1-mlops-331003.cloudfunctions.net/function-1',\n json={'msg': 'Hello from cloud functions'})\n", (41, 164), ...
import os from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent SECRET_KEY = os.environ.get('SECRET_KEY') ALLOWED_HOSTS = ['.herokuapp.com', 'localhost', '127.0.0.1'] ENIVRONMENT = os.environ.get('ENVIRONMENT', default='development...
[ "os.environ.get", "socket.gethostname", "pathlib.Path", "os.path.join", "dj_database_url.config" ]
[((165, 193), 'os.environ.get', 'os.environ.get', (['"""SECRET_KEY"""'], {}), "('SECRET_KEY')\n", (179, 193), False, 'import os\n'), ((270, 322), 'os.environ.get', 'os.environ.get', (['"""ENVIRONMENT"""'], {'default': '"""development"""'}), "('ENVIRONMENT', default='development')\n", (284, 322), False, 'import os\n'), ...
import numpy as np import scipy from ._hist import take_bins __all__ = ['ecdf'] __EPSILON__ = 1e-8 #-------------------------------------------------------------------- def ecdf(x,y=None): ''' Empirical Cumulative Density Function (ECDF). Parameters ----------- * x,y: 1d ndarrays, if y ...
[ "numpy.asarray", "numpy.searchsorted", "numpy.sort", "numpy.cumsum", "numpy.max", "numpy.array", "numpy.concatenate" ]
[((969, 980), 'numpy.array', 'np.array', (['x'], {}), '(x)\n', (977, 980), True, 'import numpy as np\n'), ((989, 999), 'numpy.sort', 'np.sort', (['x'], {}), '(x)\n', (996, 999), True, 'import numpy as np\n'), ((1165, 1187), 'numpy.concatenate', 'np.concatenate', (['(x, y)'], {}), '((x, y))\n', (1179, 1187), True, 'impo...
import datetime import json import dateutil.parser from django.contrib.auth import get_user_model from django.test import TestCase from django.urls import reverse from django.utils import timezone from rest_framework import status from apps.physicaldevice.models import Device from apps.streamfilter.models import * ...
[ "django.utils.timezone.now", "django.contrib.auth.get_user_model", "django.urls.reverse", "apps.physicaldevice.models.Device.objects.create_device", "apps.physicaldevice.models.Device.objects.all" ]
[((438, 454), 'django.contrib.auth.get_user_model', 'get_user_model', ([], {}), '()\n', (452, 454), False, 'from django.contrib.auth import get_user_model\n'), ((646, 746), 'apps.physicaldevice.models.Device.objects.create_device', 'Device.objects.create_device', ([], {'project': 'self.p1', 'label': '"""d1"""', 'templa...
import operator import math import numpy as np from rtlsdr import RtlSdr import matplotlib.pyplot as plt # Available sample rates ''' 3200000Hz 2800000Hz 2560000Hz 2400000Hz 2048000Hz 1920000Hz 1800000Hz 1400000Hz 1024000Hz 900001Hz 250000Hz ''' # Receiver class. This needs receiving parameters and will receive data ...
[ "rtlsdr.RtlSdr", "numpy.fft.fft", "numpy.mean", "numpy.array", "numpy.fft.fftshift", "numpy.linspace", "numpy.hanning", "numpy.log10" ]
[((446, 454), 'rtlsdr.RtlSdr', 'RtlSdr', ([], {}), '()\n', (452, 454), False, 'from rtlsdr import RtlSdr\n'), ((1237, 1303), 'numpy.linspace', 'np.linspace', ([], {'start': 'start_freq', 'stop': 'stop_freq', 'num': 'self.resolution'}), '(start=start_freq, stop=stop_freq, num=self.resolution)\n', (1248, 1303), True, 'im...
from bindsnet.network.nodes import Input, LIFNodes from bindsnet.network.topology import Connection from bindsnet.learning import PostPre source_layer = Input(n=100, traces=True) target_layer = LIFNodes(n=1000, traces=True) connection = Connection( source=source_layer, target=target_layer, update_rule=Pos...
[ "bindsnet.network.nodes.Input", "bindsnet.network.topology.Connection", "bindsnet.network.nodes.LIFNodes" ]
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# C&C NLP tools # Copyright (c) Universities of Edinburgh, Oxford and Sydney # Copyright (c) <NAME> # # This software is covered by a non-commercial use licence. # See LICENCE.txt for the full text of the licence. # # If LICENCE.txt is not included in this distribution # please email <EMAIL> to obtain a copy. from bas...
[ "ccg.ParserConfig", "tagger.SuperConfig", "ccg.IntegrationConfig" ]
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from django.db import models # Create your models here. class Blog(models.Model): """ Represents a project model in home page. """ title = models.CharField(max_length=50) description = models.CharField(max_length=150) date = models.DateField() def __str__(self): return self.tit...
[ "django.db.models.CharField", "django.db.models.DateField" ]
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import telnetlib import time tn = telnetlib.Telnet('192.168.137.226', 5051) #tn.write(b"Client") time.sleep(1) for i in range(5): print("Now writing ?Q102") tn.write(b"?Q102\n") status = tn.read_until(b"\n",timeout=1).decode("utf-8") print(f"Data received: {status}") print("Now writing ?Q104") ...
[ "telnetlib.Telnet", "time.sleep" ]
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"""Define version constants.""" import re __version__ = '1.0.0' __version_info__ = tuple(re.split('[.-]', __version__))
[ "re.split" ]
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#!/usr/bin/env python # Copyright 2013 Netflix """Push all repos to stash """ from nflx_oc.commands.dev.repos import run_for_all_repos def main(): run_for_all_repos('git push origin master')
[ "nflx_oc.commands.dev.repos.run_for_all_repos" ]
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from __future__ import print_function import numpy as np def faces_with_repeated_vertices(f): if f.shape[1] == 3: return np.unique(np.concatenate([ np.where(f[:, 0] == f[:, 1])[0], np.where(f[:, 0] == f[:, 2])[0], np.where(f[:, 1] == f[:, 2])[0], ])) else: ...
[ "numpy.where" ]
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import unittest import os from icalendar import Calendar import random import string from datetime import timedelta, datetime as dt import pytz from util import Singleton from .. import CalService, CalRemote, iCloudCaldavRemote, Event @Singleton class CalMockRemote(CalRemote): def create_calendar(self): ...
[ "random.choices", "datetime.datetime", "pytz.utc.localize", "icalendar.Calendar", "datetime.timedelta", "datetime.datetime.now", "os.getenv" ]
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# coding=utf-8 import itertools from contracts.utils import raise_wrapped from nose.tools import nottest from geometry import MatrixLieGroup, RandomManifold, all_manifolds, logger from .checks_generation import * def list_manifolds(): return all_manifolds @nottest def get_test_points(M, num_random=2): int...
[ "geometry.logger.warning", "contracts.utils.raise_wrapped", "itertools.product" ]
[((537, 596), 'geometry.logger.warning', 'logger.warning', (["('No test points for %s and not random.' % M)"], {}), "('No test points for %s and not random.' % M)\n", (551, 596), False, 'from geometry import MatrixLieGroup, RandomManifold, all_manifolds, logger\n'), ((2139, 2182), 'itertools.product', 'itertools.produc...
import collections import heapq from typing import List def find_town_judge(n: int, trust: List[List[int]]) -> int: trusts = {i + 1: 0 for i in range(n)} outgoing = {i + 1 for i in range(n)} for origin, destination in trust: if origin in outgoing: outgoing.remove(origin) trust...
[ "collections.defaultdict", "heapq.heappush", "collections.deque", "heapq.heappop" ]
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# encoding: utf-8 import re import base64 from ..utils import int_or_none from ..extractor.arte import ArteTVBaseIE from ..compat import ( compat_str, ) from ..utils import ( ExtractorError, int_or_none, qualities, try_get, unified_strdate, ) def _extract_from_json_url(self, json_url, video_...
[ "re.match", "re.escape" ]
[((2047, 2066), 're.escape', 're.escape', (['langcode'], {}), '(langcode)\n', (2056, 2066), False, 'import re\n'), ((4321, 4345), 're.match', 're.match', (['p', 'versionCode'], {}), '(p, versionCode)\n', (4329, 4345), False, 'import re\n')]
import os ls=["python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_0_CoarseDropout.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_1_CoarseDropout.yml", "python main.py --configs configs/eval_covid20cases_unetplusplus_timm-regnetx_002_2_CoarseDropout...
[ "os.system" ]
[((553, 565), 'os.system', 'os.system', (['l'], {}), '(l)\n', (562, 565), False, 'import os\n')]
import argparse import numpy as np from packaging import version import os os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]="2,3" from PIL import Image import matplotlib.pyplot as plt import cv2 from skimage.transform import rotate import torch from torch.autograd import Variable impo...
[ "os.makedirs", "argparse.ArgumentParser", "numpy.argmax", "torch.autograd.Variable", "torch.load", "dataset.refuge.REFUGE", "os.path.exists", "packaging.version.parse", "torch.nn.Upsample", "models.unet.UNet" ]
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import os import unittest import subprocess from paper2tmb.manipulator import Manipulator class TestManipulator(unittest.TestCase): def test_init(self): with Manipulator('test.pdf') as m: self.assertTrue(os.path.isdir(m.dirname)) def test_pdf2png(self): with Manipulator("paper2t...
[ "paper2tmb.manipulator.Manipulator", "os.path.isdir", "os.path.exists", "subprocess.call", "os.path.join" ]
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from rdkit import Chem def mol_with_atom_index(mol): atoms = mol.GetNumAtoms() tmp_mol = Chem.Mol(mol) for idx in range(atoms): tmp_mol.GetAtomWithIdx(idx).SetProp('molAtomMapNumber', str(tmp_mol.GetAtomWithIdx(idx).GetIdx())) return tmp_mol def unique_mols(sequence): seen = set() retu...
[ "rdkit.Chem.Mol" ]
[((98, 111), 'rdkit.Chem.Mol', 'Chem.Mol', (['mol'], {}), '(mol)\n', (106, 111), False, 'from rdkit import Chem\n')]
# The frozendict is originally available under the following license: # # Copyright (c) 2012 <NAME> # # 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 li...
[ "copy.deepcopy", "copy.copy" ]
[((2100, 2115), 'copy.copy', 'copy.copy', (['item'], {}), '(item)\n', (2109, 2115), False, 'import copy\n'), ((2682, 2704), 'copy.deepcopy', 'copy.deepcopy', (['v', 'memo'], {}), '(v, memo)\n', (2695, 2704), False, 'import copy\n')]
""" Copyright 2017-present, Airbnb Inc. 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, sof...
[ "stream_alert_cli.logger.LOGGER_CLI.error", "stream_alert_cli.logger.LOGGER_CLI.exception", "boto3.client", "stream_alert_cli.logger.LOGGER_CLI.warn", "stream_alert_cli.logger.LOGGER_CLI.info" ]
[((1351, 1475), 'stream_alert_cli.logger.LOGGER_CLI.info', 'LOGGER_CLI.info', (['"""Rolling back %s:production from version %d => %d"""', 'function_name', 'current_version', '(current_version - 1)'], {}), "('Rolling back %s:production from version %d => %d',\n function_name, current_version, current_version - 1)\n",...
from ortools.linear_solver import pywraplp from ortools.sat.python import cp_model def main(): solver = pywraplp.Solver.CreateSolver('SCIP') infinity = solver.infinity() # wrenches wrenches = solver.IntVar(0.0, infinity, 'wrenches') # pliers pliers = solver.IntVar(0.0, infinity, 'pliers') ...
[ "ortools.linear_solver.pywraplp.Solver.CreateSolver" ]
[((109, 145), 'ortools.linear_solver.pywraplp.Solver.CreateSolver', 'pywraplp.Solver.CreateSolver', (['"""SCIP"""'], {}), "('SCIP')\n", (137, 145), False, 'from ortools.linear_solver import pywraplp\n')]
from django.urls import path, include from . import views urlpatterns = [ path('accounts/', include('registration.backends.simple.urls')), path('', views.FrontPage, name='FrontPage'), path('tags', views.TagList, name='TagList'), path('clips', views.ClipList, name='ClipList'), path('playlist/...
[ "django.urls.path", "django.urls.include" ]
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import pandas as pd import numpy as np import math import util def gimme_pseudo_winsors(inputDf, col, pw=0.05): return util.round_to_sf(inputDf[col].quantile(pw),3), util.round_to_sf(inputDf[col].quantile(1-pw),3) def gimme_starting_affect(inputDf, col, segs): x = inputDf[col] x1 = float(segs[0]) x2 = float(segs[...
[ "pandas.DataFrame", "util.target_input_with_output", "util.round_to_sf" ]
[((1694, 1712), 'pandas.DataFrame', 'pd.DataFrame', (['dyct'], {}), '(dyct)\n', (1706, 1712), True, 'import pandas as pd\n'), ((1931, 1990), 'util.target_input_with_output', 'util.target_input_with_output', (['optFunc', 'goodAmt', 'start', 'end'], {}), '(optFunc, goodAmt, start, end)\n', (1960, 1990), False, 'import ut...
# TODO: Explain 8 corners logic at the top and use it consistently # Add comments of explanation import numpy as np import scipy.spatial from .rotation import rotate_points_along_z def get_size(box): """ Args: box: 8x3 Returns: size: [dx, dy, dz] """ distance = scipy.spatial.dist...
[ "numpy.arctan2", "numpy.sum", "numpy.logical_and", "numpy.roll", "numpy.zeros", "numpy.transpose", "numpy.mean", "numpy.array", "numpy.reshape", "numpy.matmul", "numpy.tile", "numpy.vstack" ]
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from merc import config from merc import feature from merc import message class MotdFeature(feature.Feature): NAME = __name__ CONFIG_SECTION = 'motd' install = MotdFeature.install @MotdFeature.register_config_checker def check_config(section): return config.validate(section, str) class MotdReply(message.R...
[ "merc.config.validate" ]
[((263, 292), 'merc.config.validate', 'config.validate', (['section', 'str'], {}), '(section, str)\n', (278, 292), False, 'from merc import config\n')]
# Copyright 2021 the Autoware Foundation # # 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 ...
[ "launch.actions.DeclareLaunchArgument", "launch.substitutions.LaunchConfiguration", "launch.LaunchDescription", "ament_index_python.get_package_share_directory", "os.path.join" ]
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""" Compute resonances using the cxroots library (contour integration techniques) Authors: <NAME>, <NAME> Karlsruhe Institute of Technology, Germany University of California, Merced Last modified: 20/04/2021 """ from sys import argv import matplotlib.pyplot as plt import numpy as np ...
[ "scipy.special.h1vp", "numpy.size", "numpy.abs", "scipy.special.ivp", "numpy.amin", "numpy.angle", "numpy.argsort", "numpy.shape", "cxroots.Circle", "numpy.where", "scipy.special.iv", "numpy.loadtxt", "numpy.linspace", "cxroots.AnnulusSector", "numpy.amax", "scipy.special.hankel1", "...
[((482, 493), 'numpy.sqrt', 'np.sqrt', (['(-ε)'], {}), '(-ε)\n', (489, 493), True, 'import numpy as np\n'), ((834, 902), 'cxroots.AnnulusSector', 'AnnulusSector', ([], {'center': '(0.0)', 'radii': '(rMin, rMax)', 'phiRange': '(aMin, aMax)'}), '(center=0.0, radii=(rMin, rMax), phiRange=(aMin, aMax))\n', (847, 902), Fals...
""" Advent of code 2020 day 4/2 """ import logging import math from os import path import re record_splitter = re.compile(' |\n') # Field info: # byr (Birth Year) - four digits; at least 1920 and at most 2002. # iyr (Issue Year) - four digits; at least 2010 and at most 2020. # eyr (Expiration Year) - four digits; at...
[ "os.path.dirname", "re.match", "re.compile" ]
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import os import sys import subprocess from typing import Union, TextIO, List, AnyStr import smpl.log_module as logger # # This module executes commands, manages output from those commands and provides a dry-run capability. # # The primary function is # # def run(cmd, where) # # dry-run and output options are c...
[ "sys.stdout.write", "subprocess.run", "subprocess.Popen", "os.getcwd", "smpl.log_module.init", "smpl.log_module.set_stdout_logfile" ]
[((4732, 4766), 'smpl.log_module.init', 'logger.init', (['logger.LOG_LEVEL_WARN'], {}), '(logger.LOG_LEVEL_WARN)\n', (4743, 4766), True, 'import smpl.log_module as logger\n'), ((4771, 4798), 'smpl.log_module.set_stdout_logfile', 'logger.set_stdout_logfile', ([], {}), '()\n', (4796, 4798), True, 'import smpl.log_module ...
import logging logger = logging.getLogger(__name__) def make_file_safe_api_name(api_name): """Make an api name safe for use in a file name""" return "".join([c for c in api_name if c.isalpha() or c.isdigit() or c in (".", "_", "-")])
[ "logging.getLogger" ]
[((25, 52), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (42, 52), False, 'import logging\n')]
#!/usr/bin/env python #coding:utf-8 # Author: mozman --<<EMAIL>> # Purpose: test clock_val_parser # Created: 03.11.2010 # Copyright (C) 2010, <NAME> # License: GPLv3 import sys import unittest PYTHON3 = sys.version_info[0] > 2 if PYTHON3: import svgwrite.data.pyparsing_py3 as pp else: import...
[ "unittest.main", "svgwrite.data.svgparser._build_clock_val_parser", "svgwrite.data.svgparser._build_wall_clock_val_parser" ]
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# -*- coding: utf-8 -*- # Copyright 2015 www.suishouguan.com # # Licensed under the Private License (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://github.com/samuelbaizg/ssguan/blob/master/LICENSE # # Unless ...
[ "ssguan.ignitor.utility.kind.utcnow", "ssguan.ignitor.etl.model.IncrExtract.all", "ssguan.ignitor.utility.parallel.create_lock", "ssguan.ignitor.base.context.get_user_id", "ssguan.ignitor.etl.model.IncrExtract", "ssguan.ignitor.utility.kind.datetime_floor", "datetime.timedelta", "ssguan.ignitor.utilit...
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from models import ChapterPayments from baseapp import db class ChapterPaymentsController: def __init__(self): pass def add(self, payment): existing = False payments = ChapterPayments.query.filter_by(received_date=payment['received_date']).all() for existing_payment in payment...
[ "baseapp.db.session.add", "models.ChapterPayments.query.filter_by", "baseapp.db.session.delete", "baseapp.db.session.commit", "models.ChapterPayments" ]
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from typing import Any, List, Literal, TypedDict from .FHIR_canonical import FHIR_canonical from .FHIR_code import FHIR_code from .FHIR_CodeableConcept import FHIR_CodeableConcept from .FHIR_DataRequirement_CodeFilter import FHIR_DataRequirement_CodeFilter from .FHIR_DataRequirement_DateFilter import FHIR_DataRequirem...
[ "typing.TypedDict" ]
[((721, 1271), 'typing.TypedDict', 'TypedDict', (['"""FHIR_DataRequirement"""', "{'id': FHIR_string, 'extension': List[Any], 'type': FHIR_code, '_type':\n FHIR_Element, 'profile': List[FHIR_canonical], 'subjectCodeableConcept':\n FHIR_CodeableConcept, 'subjectReference': FHIR_Reference, 'mustSupport':\n List[F...
import requests import json from requests.adapters import HTTPAdapter from requests.packages.urllib3.util.retry import Retry LOLQUIZ_CMS_URL = 'https://lolquiz-cms.herokuapp.com/questions?_sort=id&_limit={}&_start={}' HTTP_STATUS_ERROR_CODES = [408, 502, 503, 504] TOTAL_QUESTIONS = 100 INIT_OFFSET = 0 def get_quest...
[ "requests.packages.urllib3.util.retry.Retry", "requests.Session", "json.loads", "requests.adapters.HTTPAdapter" ]
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import sys import ReadFile import pickle import World import importlib.util import os.path as osp import policy_generator as pg import matplotlib.pyplot as plt from matplotlib import cm from matplotlib.ticker import LinearLocator import numpy as np def module_from_file(module_name, file_path): spec = importlib.ut...
[ "matplotlib.pyplot.title", "numpy.meshgrid", "matplotlib.pyplot.show", "ReadFile.ReadConfiguration", "ReadFile.ReadFilesList", "numpy.zeros", "matplotlib.pyplot.subplots", "policy_generator.generate_group_testing_tests_policy", "numpy.arange", "numpy.array", "matplotlib.pyplot.ylabel", "matplo...
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