content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import googlemaps
gmaps = googlemaps.Client(key='google_key')
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# Imports
import os
import numpy as np
import tensorflow as tf
def run(model, X, Y, optimizer=None, nb_epochs=30, nb_batches=128):
"""
Run the estimator
"""
if optimizer is None:
optim... | [
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11... | 2.280106 | 1,503 |
""" Represents an app archive. This is an app at rest, whether it's a naked
app bundle in a directory, or a zipped app bundle, or an IPA. We have a
common interface to extract these apps to a temp file, then resign them,
and create an archive of the same type """
import abc
import biplist
from bundle impor... | [
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1... | 2.378505 | 2,782 |
from conan.tools.env import Environment
def runenv_from_cpp_info(conanfile, cpp_info):
""" return an Environment deducing the runtime information from a cpp_info
"""
dyn_runenv = Environment(conanfile)
if cpp_info is None: # This happens when the dependency is a private one = BINARY_SKIP
retu... | [
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1... | 2.438746 | 351 |
"""
**********************************************************************************
List model
**********************************************************************************
"""
from enum import Enum
from dataclasses import dataclass
from uuid import UUID
from datetime import datetime
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# -*- coding: utf-8 -*-
"""
Automation task as a AppDaemon App for Home Assistant -
current meter PEAK POWER notifications
"""
import datetime as dt
from enum import IntEnum
import appdaemon.plugins.hass.hassapi as hass
LOG_LEVEL = "INFO"
LOG_LEVEL_ALERT = "WARNING"
LOGGER = "special_event_log"
COEF_CRITICAL_LIMIT ... | [
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# -*- test-case-name: twisted.internet.test -*-
# Copyright (c) Twisted Matrix Laboratories.
# See LICENSE for details.
"""
This module provides support for Twisted to interact with the glib/gtk2
mainloop.
In order to use this support, simply do the following::
| from twisted.internet import gtk2reactor
| ... | [
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"""
Setup:
- Import Libraries
- Setup tf on multiple cores
- Import Data
"""
import pandas as pd
import numpy as np
import tensorflow as tf
import seaborn as sns
from time import time
import multiprocessing
import random
import os
from tensorflow.keras.models import Sequential
from tensorflow.keras.layer... | [
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32152... | 2.360976 | 1,845 |
# This example show how to use inline keyboards and process button presses
import telebot
import time
from telebot.types import InlineKeyboardMarkup, InlineKeyboardButton
import os, sys
from PIL import Image, ImageDraw, ImageFont
import random
TELEGRAM_TOKEN = '1425859530:AAF5MQE87Zg_bv3B2RLe3Vl2A5rMz6vYpsA'
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218... | 2.525714 | 175 |
from rectangle2 import rectangle_area
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# -*- coding: utf-8 -*-
from unittest import TestCase, TestLoader
from radio import (Radio, ListenerNotFound, ReplyHandlerAlreadyBound,
HandlerAlreadyBound)
suite = TestLoader().loadTestsFromTestCase(TestRadioRequestReplyMethods)
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import sys
from typing import Sequence
import pytest
from jina import Request, QueryLang, Document
from jina.clients.request import request_generator
from jina.proto import jina_pb2
from jina.proto.jina_pb2 import EnvelopeProto
from jina.types.message import Message
from jina.types.request import _trigger_fields
from... | [
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4... | 3.324074 | 108 |
import os
import sys
DIR_OF_THIS_SCRIPT = os.path.abspath( os.path.dirname( __file__ ) )
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from distutils.core import setup
setup(
name='utils',
version='1.0.0',
author='Mirco Tracolli',
author_email='mirco.tracolli@pg.infn.it',
packages=[
'utils',
],
scripts=[],
url='https://github.com/Cloud-PG/smart-cache',
license='Apache 2.0 License',
description='Utils fo... | [
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... | 2.504065 | 246 |
"""Support for Eight Sleep binary sensors."""
from __future__ import annotations
import logging
from pyeight.eight import EightSleep
from homeassistant.components.binary_sensor import (
BinarySensorDeviceClass,
BinarySensorEntity,
)
from homeassistant.core import HomeAssistant
from homeassistant.helpers.enti... | [
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# This file is part of the CERN Indico plugins.
# Copyright (C) 2014 - 2022 CERN
#
# The CERN Indico plugins are free software; you can redistribute
# them and/or modify them under the terms of the MIT License; see
# the LICENSE file for more details.
from unittest.mock import MagicMock
import pytest
from requests.ex... | [
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... | 3.322581 | 155 |
# _*_ coding: utf-8 _*_
# ---------------------------
__author__ = 'StormSha'
__date__ = '2018/3/28 18:01'
# ---------------------------
# -------------------------django----------------------
from django.conf.urls import url
from .views import OrgView, AddUserAskView, OrgHomeView, OrgCourseView, OrgDescView, OrgTeach... | [
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| [
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2... | 2.857143 | 49 |
import FWCore.ParameterSet.Config as cms
# handle normal mixing or premixing
# change assumptions about lumi rate
# turnon = True enables default, False disables
# recalibration and darkening always together
# needs lumi to set proper ZS thresholds (tbd)
| [
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29... | 3.7 | 70 |
import numpy as np
import xml.etree.ElementTree as ET
if __name__ == '__main__':
robot = MuJoCoXmlRobot('mujoco_assets/hopper.xml')
params = list(1.0 * np.array(robot.get_params()))
robot.update(params, 'mujoco_assets/hopper_test.xml')
assert robot.get_params() == params
#assert robot.get_height()... | [
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1... | 2.220202 | 990 |
''' Load User Middleware'''
from masonite.facades.Auth import Auth
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from minqlx_plugin_test import *
import logging
import unittest
from mockito import *
from mockito.matchers import *
from hamcrest import *
from redis import Redis
from merciful_elo_limit import *
| [
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... | 3.258065 | 62 |
from ronglian_sms_sdk import SmsSDK
from celery_tasks.main import app
#
# celerytask
# celery(main) | [
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import sublime_plugin
| [
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# Copyright 2018 Google LLC
#
# 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, s... | [
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7330... | 2.740023 | 1,754 |
# -*- coding: UTF-8 -*-
import os, re, shutil, time, xbmc
from resources.lib.modules import control
try: import json as simplejson
except: import simplejson
ADDONS = os.path.join(control.HOMEPATH, 'addons')
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"""
All things for a HAP characteristic.
A Characteristic is the smallest unit of the smart home, e.g.
a temperature measuring or a device status.
"""
import logging
from pyhap.const import (
HAP_PERMISSION_READ,
HAP_REPR_DESC,
HAP_REPR_FORMAT,
HAP_REPR_IID,
HAP_REPR_MAX_LEN,
HAP_REPR_PERM,
... | [
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dataset_type = 'UNITER_VqaDataset'
data_root = '/home/datasets/mix_data/UNITER/VQA/'
train_datasets = ['train']
test_datasets = ['minival'] # name not in use, but have defined one to run
vqa_cfg = dict(
train_txt_dbs=[
data_root + 'vqa_train.db',
data_root + 'vqa_trainval.db',
data_root +... | [
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... | 1.950331 | 906 |
from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import path, include, re_path
from django.views.generic import TemplateView
urlpatterns = [
path('api-auth/', include('rest_framework.urls')),
path('rest-auth/', include('rest_auth.urls... | [
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... | 2.490066 | 302 |
#!/bin/bash
# -*- coding: UTF-8 -*-
#
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtWidgets import (QApplication, QMainWindow, QWidget, QGridLayout, QMessageBox, QFileDialog,
QLabel, QLineEdit, QPushButton, QComboBox, QCheckBox, QDateTimeEdit,
... | [
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... | 2.620053 | 379 |
"""
GpuCorrMM-based convolutional layers
"""
import numpy as np
import theano
import theano.tensor as T
from theano.sandbox.cuda.basic_ops import gpu_contiguous
from theano.sandbox.cuda.blas import GpuCorrMM
from .. import init
from .. import nonlinearities
from . import base
# base class for all layers that rely ... | [
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5733,
13,
83,
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309,
198,
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262,
5733,
13,
3814... | 3.071429 | 112 |
#! /usr/bin/env python
#
# ===============================================================
# Description: Sanity check for fresh install.
#
# Created: 2014-08-12 16:42:52
#
# Author: Ayush Dubey, dubey@cs.cornell.edu
#
# Copyright (C) 2013, Cornell University, see the LICENSE file
# ... | [
2,
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... | 2.646302 | 1,244 |
# -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals
try:
unicode
except NameError:
basestring = unicode = str # Python 3
import logging
import rdflib
from rdflib import compare
logger = logging.getLogger("ldtools")
RESET_SEQ = "\033[0m"
COLOR_SEQ = "\033[1;%dm"
BOLD_SEQ = "\033[... | [
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220,
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25,
198,
... | 2.326993 | 1,104 |
# Debug print levels for fine-grained debug trace output control
DNFQUEUE = (1 << 0) # netfilterqueue
DGENPKT = (1 << 1) # Generic packet handling
DGENPKTV = (1 << 2) # Generic packet handling with TCP analysis
DCB = (1 << 3) # Packet handlign callbacks
DPROCFS = (1 << 4) # procfs
DIPTBLS = (... | [
2,
31687,
3601,
2974,
329,
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12,
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16,
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8,
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220,
220,
1303,
2010,
24455,
36560,
198,
35,
35353,
40492,
51,
796,
357,
16,
9959,
352,... | 2.125749 | 668 |
'''
Script for training the model
'''
import tensorflow as tf
import numpy as np
from input import BatchGenerator
from model import MultiRnn
import time
from datetime import datetime
import os
import matplotlib as mpl
mpl.use('Agg')
from matplotlib import pyplot as plt
sum_dir = 'sum' # dir to write summary
train_di... | [
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49,
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198,
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6... | 2.132304 | 1,489 |
import os
import sys
import threading
import time
import warnings
from contextlib import ExitStack
import click
import pendulum
from dagster import __version__
from dagster.core.instance import DagsterInstance
from dagster.daemon.controller import (
DEFAULT_DAEMON_HEARTBEAT_TOLERANCE_SECONDS,
DagsterDaemonCont... | [
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9641,
834,
198,
6... | 2.65 | 320 |
import sys, os
sys.path.append(os.path.dirname(os.path.dirname(sys.path[0])))
from sportsreference.nfl.teams import Teams
for team in Teams():
print(team.name)
for player in team.roster.players:
print(player.name)
for game in team.schedule:
print(game.dataframe)
print(game.dataframe... | [
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5701,
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13,
77,
2704,
13,
660,
4105,
1330,
2469... | 2.451852 | 135 |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import sys
sys.path.append("../")
from quelea import *
nx = 217
ny = 133
x0 = 0
x1 = 30 # lambdas
y0 = 0
y1 = 20 # lambdas
xs = np.linspace(x0, x1, nx)
ys = np.linspace(y0, y1, ny)
# 2d array of (x, y, z, t)
coords = np.array( [ [x, y, 0, 0] for ... | [
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13,
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7203,
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198,
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8358,
293,
64,
1330,
1635... | 2.19685 | 508 |
import os
from absl import app
from absl import flags
import numpy as np
import tqdm
from tensorflow.keras import Model
from albumentations import (
Compose, HorizontalFlip, RandomBrightness,RandomContrast,
ShiftScaleRotate, ToFloat, VerticalFlip)
from utils import reset_tf
from eval_utils import calc_score_v... | [
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273,
11125,
13,
6122,
292,
1330,
9104,
198,
6738,
435,
65,
1713,
602... | 3.160428 | 187 |
from django.conf import settings
from suit import apps
from suit.apps import DjangoSuitConfig
from suit.menu import ParentItem, ChildItem
APP_NAME = settings.APP_NAME
WIKI_URL = settings.WIKI_URL
| [
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7449,
11,
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7449,
198,
198,
24805,
62,
20608,
796,
6460,... | 3.3 | 60 |
import h5py
import numpy as np
np.set_printoptions(threshold=np.nan)
from shutil import copyfile
copyfile("dummy_lutnet.h5", "pretrained_bin.h5") # create pretrained.h5 using datastructure from dummy.h5
bl = h5py.File("baseline_pruned.h5", 'r')
#dummy = h5py.File("dummy.h5", 'r')
pretrained = h5py.File("pretrained_b... | [
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198,
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7753,
7203,
67,
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62,
75,
31... | 2.235448 | 17,231 |
# Natural Language Toolkit: Interface to Weka Classsifiers
#
# Copyright (C) 2001-2015 NLTK Project
# Author: Edward Loper <edloper@gmail.com>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
"""
Classifiers that make use of the external 'Weka' package.
"""
from __future__ import print_fu... | [
2,
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25,
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82,
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2,
201,
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2,
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8,
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42,
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2,
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25,
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406,
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1279,
276,
75,
3575,
31,
14816,
... | 2.460199 | 402 |
import pandas as pd
import numpy as np
from src.si.util.util import label_gen
__all__ = ['Dataset']
def hasLabel(self):
"""Returns True if the dataset constains labels (a dependent variable)"""
return self.Y is not None
def getNumFeatures(self):
"""Returns the number of features"""
... | [
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13,
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13,
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13,
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62,
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198,
198,
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834,
796,
37250,
27354,
292,
316,
20520,
628,
220,
220,
220,
825,
468,
... | 2.024662 | 1,703 |
"""
Module: 'display' on M5 FlowUI v1.4.0-beta
"""
# MCU: (sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11-284-g5d8e1c867 on 2019-08-30', machine='ESP32 module with ESP32')
# Stubber: 1.3.1
| [
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20,
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52,
25,
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9774,
2624,
3256,
18666,
12453,
11639,
9774,
2624,
3256,
2650,
11639,
... | 2.244681 | 94 |
import json, requests, datetime
from cron_descriptor import get_description
from .dbclient import dbclient
from .JobsClient import JobsClient
from .ClustersClient import ClustersClient
from .WorkspaceClient import WorkspaceClient
from .ScimClient import ScimClient
from .LibraryClient import LibraryClient
from .HiveCli... | [
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198,
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764,
2601,
... | 4 | 91 |
# -*- coding: utf-8 -*-
# SkinWeights command and component editor
# Copyright (C) 2018 Trevor van Hoof
# Website: http://www.trevorius.com
#
# pyqt attribute sliders
# Copyright (C) 2018 Daniele Niero
# Website: http://danieleniero.com/
#
# neighbour finding algorythm
# Copyright (C) 2018 Jan Pijpers
# Webs... | [
2,
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198,
2,
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25,
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2503,
13,
83,
18... | 3.338192 | 343 |
"""AVM FRITZ!Box binary sensors."""
from __future__ import annotations
from collections.abc import Callable
from dataclasses import dataclass
from datetime import datetime, timedelta
import logging
from typing import Any, Literal
from fritzconnection.core.exceptions import (
FritzActionError,
FritzActionFaile... | [
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330,
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1330,
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330,
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198,
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4818,
80... | 2.48489 | 3,640 |
from Ifc.ClassRegistry import ifc_class, ifc_abstract_class, ifc_fallback_class
class Omitted:
"""
Marked with '*' it states that some supertype had defined that attribute, but in the subtype it is a derived
(calculated) value, so it no longer makes sense to explicitely assign value to it.
"""
#... | [
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220,
2940,... | 3.149701 | 167 |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (c) 2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
import logging
import os
from io_monitor.constants import DOMAIN
from io_monitor.utils.data_window import DataCollectionWindow
LOG = logging.getLogger(DOMAIN)
| [
2,
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25,
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2,
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55,
12,
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12,
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7483,
25,
24843,
12,
... | 3.030612 | 98 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | [
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12,
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66,
8,
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11,
15127,
23929,
44680,
6234,
13,
220,
1439,
2489,
10395,
13,... | 2.327139 | 3,121 |
from net_common import *
import struct
import sys
if __name__ == "__main__":
sock = get_connected_local_socket()
path = encodeString('/dev/shm/exampleDir')
# path = encodeString('/dev/null')
sock.sendall(bytearray(b'\x0A')) # HASH request
# sock.sendall(bytearray(b'\x01')) # choose MD5 algorithm... | [
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62,
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220,
220,... | 2.458647 | 399 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.13 on 2018-09-11 10:05
from __future__ import unicode_literals
import config.s3
from django.db import migrations, models
| [
2,
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6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
... | 2.761905 | 63 |
"""Validate that number of threads in thread pools is set to 1."""
import numexpr
import blosc
import threadpoolctl
# APIs that return previous number of threads:
assert numexpr.set_num_threads(2) == 1
assert blosc.set_nthreads(2) == 1
for d in threadpoolctl.threadpool_info():
assert d["num_threads"] == 1, d
| [
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2,
23113,
326,
1441,
2180,
1271,
286,
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25,
... | 3.07767 | 103 |
#!/usr/bin/env python
"""A simple viewer for Stokes patterns based on two far-field pattern files.
(Possibly based on one FF pattern files if it has two requests: one for each
polarization channel.)"""
import os
import argparse
import numpy
import matplotlib.pyplot as plt
from antpat.reps.sphgridfun.tvecfun import TVec... | [
2,
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14,
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319,
530,
18402,
3912,
3696,
611,
340,
468,
734,
7007,
25,
530,... | 2.454424 | 746 |
'''Some helper functions for PyTorch, including:
- progress_bar: progress bar mimic xlua.progress.
- set_lr : set the learning rate
- clip_gradient : clip gradient
'''
import os
import sys
import time
import math
import torch
import torch.nn as nn
import torch.nn.init as init
from torch.autogr... | [
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198,
220,
220,
220,
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62,
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1058,
900,
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4673,
... | 2.57037 | 270 |
from __future__ import absolute_import, division, print_function
import logging
import sys
logging.basicConfig(
stream=sys.stdout,
level=logging.DEBUG,
format='%(asctime)s %(name)s-%(levelname)s: %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
import numpy as np
import utils
logger = logging.getLogger("ind... | [
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11,
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7,
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220,
220,
220,
4269,
28,
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448,
11,
198,
220,
2... | 2.5 | 134 |
print('\033[7;30mOla mundo\033[m!!!')
| [
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76,
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198
] | 1.9 | 20 |
# Copyright 2020 The Cirq Developers
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | [
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198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13,
198,
2,
921... | 3.489796 | 245 |
import os
import sys
import numpy as np
import iotbx.phil
from cctbx import uctbx
from dxtbx.model.experiment_list import ExperimentListFactory
from scitbx.math import five_number_summary
import dials.util
from dials.array_family import flex
from dials.util import Sorry, tabulate
help_message = """
Examples::
d... | [
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299,
32152,
355,
45941,
198,
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313,
65,
87,
13,
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198,
6738,
269,
310,
65,
87,
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334,
310,
65,
87,
198,
6738,
288,
742,
65,
87,
13,
19849,
13,
23100,
3681,
... | 2.693213 | 1,105 |
# -*- coding: utf-8 -*-
from enum import Enum, IntEnum, unique
import os
APP_NAME = "mine2farm"
NETWORK_NAME = "CenterAxis"
LOG_LEVEL_CONSOLE = "WARNING"
LOG_LEVEL_FILE = "INFO"
APP_FOLDER = os.getenv("JESA_MINE2FARM_HOME", "C:/GitRepos/mine2farm/")
LOG_FOLDER = APP_FOLDER + "app/log/"
LOG_FILE = "%(asctime)_" + AP... | [
2,
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366,
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1,
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2... | 2.264113 | 3,472 |
from django.db import models
# Create your models here. | [
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13
] | 3.733333 | 15 |
import base64
import io
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output
import numpy as np
import tensorflow as tf
from PIL import Image
from constants import CLASSES
import yaml
with open('app.ya... | [
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62,
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355,... | 2.04451 | 1,685 |
import json
import requests
from django.conf import settings
| [
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] | 4.2 | 15 |
print(int(input(""))**0.5) | [
4798,
7,
600,
7,
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1174,
15,
13,
20,
8
] | 2.166667 | 12 |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | [
2,
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287,
262,
1628,
6808,
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13,
19... | 5.033333 | 120 |
from django.shortcuts import render,redirect,reverse
from . import forms,models
from django.db.models import Sum
from django.contrib.auth.models import Group
from django.http import HttpResponseRedirect
from django.contrib.auth.decorators import login_required,user_passes_test
#for showing signup/login button for te... | [
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... | 2.467986 | 859 |
import os
import numpy as np
from paddle import fluid
from ltr.models.bbreg.atom import atom_resnet50, atom_resnet18
from ltr.models.siamese.siam import siamfc_alexnet
from ltr.models.siam.siam import SiamRPN_AlexNet, SiamMask_ResNet50_sharp, SiamMask_ResNet50_base
from pytracking.admin.environment import env... | [
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11,
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62,
411,
326... | 2.789773 | 176 |
#!/usr/bin/env python2
import sys
import random
import os.path
import shutil
import commands
import types
import math
#gsPath = '/usr/local/bin/gs'
gsPath = 'gs'
logFile = '/dev/null'
#logFile = 'plot.log'
#--- class PsPlot(fname, pageHeader, pageSubHeader, plotsPerPage)
#
#--- Main
#
def main():
tMin = 0
... | [
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31051,... | 1.89604 | 1,212 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-28 06:53
from __future__ import unicode_literals
from django.db import migrations
| [
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... | 2.690909 | 55 |
# Copyright 2021 Northern.tech AS
#
# 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 ag... | [
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11846,
35... | 2.903039 | 691 |
"""
295
find median from data stream
hard
"""
from heapq import *
sol = MedianFinder()
sol.addNum(1)
print(sol.findMedian())
sol.addNum(2)
print(sol.findMedian()) | [
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... | 2.625 | 64 |
import os
import numpy as np
import raisimpy as raisim
import math
import time
raisim.World.setLicenseFile(os.path.dirname(os.path.abspath(__file__)) + "/../../rsc/activation.raisim")
world = raisim.World()
ground = world.addGround()
world.setTimeStep(0.001)
world.setMaterialPairProp("steel", "steel", 0.1, 1.0, 0.0)
... | [
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3672,... | 2.103175 | 1,638 |
# Copyright 2012 Pedro Navarro Perez
# Copyright 2013 Cloudbase Solutions Srl
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org... | [
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11,
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362,
13,
15,
357,
1169,
366,
341... | 3.242268 | 388 |
# --------------
# Importing header files
import numpy as np
import pandas as pd
from scipy.stats import mode
# code starts here
bank = pd.read_csv(path)
categorical_var = bank.select_dtypes(include = 'object')
print(categorical_var)
numerical_var = bank.select_dtypes(include = 'number')
print(numeric... | [
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... | 2.389189 | 555 |
''' Training Scropt for V2C captioning task. '''
__author__ = 'Jacob Zhiyuan Fang'
import os
import numpy as np
from opts import *
from utils.utils import *
import torch.optim as optim
from model.Model import Model
from torch.utils.data import DataLoader
from utils.dataloader import VideoDataset
from model.transforme... | [
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2172... | 2.939189 | 148 |
import influxdb_client
from influxdb_client import InfluxDBClient
bucket = "python-client-sandbox"
org = "Energy Monitor"
token = "miQdAvNXHiNDVVzPzV5FpkCaR_8qdQ-L1FlPCOXQPI325Kbrh1fgfhkcDUZ4FepaebDdpZ-A1gmtnnjU0_hViA=="
url = "http://localhost:9999"
client = InfluxDBClient(url=url, token=token, org=org)
writeApi = c... | [
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... | 2.29717 | 212 |
# No shebang line, this module is meant to be imported
#
# Copyright 2014 Oliver Palmer
#
# 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
#
# Unle... | [
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2,
345,
743... | 3.557377 | 366 |
# coding: utf-8
"""
"""
#----------------------------------------------------------------------
def klSigmode(self):
""""""
if self.mode == 'deal':
self.canvas.updateSig(self.signalsOpen)
self.mode = 'dealOpen'
else:
self.canvas.updateSig(self.signals)
self.mode = 'deal'... | [
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... | 2.439394 | 132 |
# 2020, BackThen Maps
# Coded by Remi Petitpierre https://github.com/RPetitpierre
# For Bibliothque nationale de France (BnF)
import cv2, thinning, os
import numpy as np
import pandas as pd
import shapefile as shp
from skimage.measure import approximate_polygon
from PIL import Image, ImageDraw
from utils.utils imp... | [
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33,
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37,
... | 2.252884 | 4,334 |
from unittest import TestCase
from unittest.mock import patch
from easy2fa import cli
| [
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1330,
537,
72,
628
] | 3.259259 | 27 |
from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler
from bert_finetuning.data import GermanData
"""
** FOR DEBUGGING **
if __name__ == "__main__":
## define data paths
germeval_data_paths = {
"train": "./datasets/hasoc_dataset/hasoc_german_train.csv"... | [
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13,
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2679,
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201,
... | 2.173626 | 455 |
import torch
import numpy as np
import torch.utils.data as data
from torch.utils.data import Subset
from data.fast_mnist import create_MNIST_dataset
from data.ambiguous_mnist.ambiguous_mnist_dataset import AmbiguousMNIST
| [
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... | 3.15493 | 71 |
# -*- coding: utf-8 -*-
import logging
import datetime
from flask import request, render_template
from flask_jwt_extended import (
create_access_token,
decode_token
)
from jwt.exceptions import DecodeError
from flasgger import swag_from
from http import HTTPStatus
from pathlib import Path
from sqlalchemy.orm.e... | [
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1631,
1330,
357,
198,
220,
220,
... | 3.951872 | 187 |
import os
from typing import Any, Callable, Dict
import tomodachi
from tomodachi import aws_sns_sqs, aws_sns_sqs_publish
from tomodachi.discovery import AWSSNSRegistration
from tomodachi.envelope import JsonBase
| [
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82,
11,
3253,
82,
62,
82,
5907,
62,
31166,
82,
62,
1... | 2.945205 | 73 |
types_of_people = 10
x = f"There are {types_of_people} types of people."
binary = "binary"
do_not = "don't"
y = f"Those who know {binary} and those who {do_not}."
print(x)
print(y)
print(f"I said: {x}")
print(f"I also said: '{y}'")
hilarious = False
joke_evaluation = "Isn't that joke so funny?! {}"
print(joke_eval... | [
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62,
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366,
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470,
1,
198,
88,
796,
27... | 2.5 | 170 |
import base64
from google.protobuf import json_format
from importlib import import_module
import json
import numpy as np
import os
import sys
from mmdnn.conversion.caffe.errors import ConversionError
from mmdnn.conversion.caffe.common_graph import fetch_attr_value
from mmdnn.conversion.caffe.utils import get_lower_cas... | [
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355,
45941,
198,
11748,
28686,
198,
11748,
25064,
198,
198,
6738,
... | 3.296296 | 108 |
"""
leetcode-85
0 1 , rows x cols , 1 ,
"""
from typing import List | [
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316,
8189,
12,
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198,
657,
220,
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220,
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] | 2.482759 | 29 |
# -*- coding: utf-8 -*-
# Copyright (c) 2016-2018 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import numpy as np
import pytest
from pandapower.optimal_powerflow import OPFNotConverged
import pandapower as pp
try:
impo... | [
2,
532,
9,
12,
19617,
25,
3384,
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# -*- coding: utf-8 -*-
# @Author: GXR
# @CreateTime: 2022-01-20
# @UpdateTime: 2022-01-20
import redis
import config
import cookie_login
from cookie_api import app
red = redis.Redis(
host=config.REDIS_HOST,
port=config.REDIS_PORT,
db=config.REDIS_DB,
decode_responses=True,
)
# cookie
if __name_... | [
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... | 2.320513 | 156 |
from feemodel.app.transient import TransientOnline
from feemodel.app.pools import PoolsOnlineEstimator
from feemodel.app.predict import Prediction
from feemodel.app.simonline import SimOnline
__all__ = [
'TransientOnline',
'PoolsOnlineEstimator',
'Prediction',
'SimOnline'
]
| [
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... | 2.754717 | 106 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
# start tutorial
from django.db import models
from djng.forms import NgModelFormMixin, NgFormValidationMixin
from djng.styling.bootstrap3.forms import Bootstrap3ModelForm
| [
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34... | 3.118421 | 76 |
# 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 ... | [
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... | 2.53768 | 1,181 |
import contextlib
import os
from collections import namedtuple
import yaml
from dagster import __version__ as current_dagster_version
from dagster import check
from .ecr import ecr_image, get_aws_account_id, get_aws_region
from .utils import (
execute_docker_build,
execute_docker_push,
execute_docker_tag,... | [
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# Copyright (c) 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import json
import logging
import os
import unittest
from telemetry.core import browser_finder
from telemetry.core import exceptions
from telemetry.core ... | [
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1... | 3.782946 | 129 |
import sqlite3
| [
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] | 3.2 | 5 |
from django import forms
from django.forms.utils import ErrorList
from crits.campaigns.campaign import Campaign
from crits.core.forms import add_bucketlist_to_form, add_ticket_to_form
from crits.core.handlers import get_item_names, get_source_names
from crits.core.user_tools import get_user_organization
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48... | 3.377622 | 143 |
"""Monte Carlo receding horizon control."""
from abc import ABC, abstractmethod
from multiprocessing import Pipe, Process
import gym
from stable_baselines.common.vec_env import CloudpickleWrapper
from aprl.common.mujoco import MujocoState, ResettableEnv
def _worker(remote, parent_remote, dynamic_fn_wrapper, hor... | [
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... | 2.25885 | 452 |
import numpy as np
if __name__ == '__main__':
postinList, classVec = loadDataSet()
myVocabList = createVocabList(postinList)
# print(setOfWords2Vec(myVocabList, postinList[0]))
trainMat = []
for postinDoc in postinList:
trainMat.append(setOfWords2Vec(myVocabList, postinDoc))
pr... | [
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from .swd import SWD
from .ahb import AHB
from .debugger import Debugger, HaltError, NotHaltedError
try:
from .dwarf import ELFDebugger
except ImportError:
pass
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5767... | 2.816667 | 60 |
import subprocess
subprocess.Popen(['sh', '../Switches/Switch3_On.sh'])
| [
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