code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from abc import ABC
from .const import math
class Variable(ABC):
"""
Abstract class for a variable with some schedule
"""
_opvalue_ = None
_value_ = None
def __call__(self):
self._step_()
return self.value
@property
def value(self):
"""
Main prop... | rofl/functions/vars.py | from abc import ABC
from .const import math
class Variable(ABC):
"""
Abstract class for a variable with some schedule
"""
_opvalue_ = None
_value_ = None
def __call__(self):
self._step_()
return self.value
@property
def value(self):
"""
Main prop... | 0.88669 | 0.35113 |
from RGT.XML.SVG.baseContainerNode import BaseContainerNode
from RGT.XML.SVG.Attribs.conditionalProcessingAttributes import ConditionalProcessingAttributes
from RGT.XML.SVG.Attribs.xlinkAttributes import XlinkAttributes
from RGT.XML.SVG.Attribs.positionAttributes import PositionAttributes
from RGT.XML.SVG.Attribs.s... | src/RGT/XML/SVG/patternNode.py | from RGT.XML.SVG.baseContainerNode import BaseContainerNode
from RGT.XML.SVG.Attribs.conditionalProcessingAttributes import ConditionalProcessingAttributes
from RGT.XML.SVG.Attribs.xlinkAttributes import XlinkAttributes
from RGT.XML.SVG.Attribs.positionAttributes import PositionAttributes
from RGT.XML.SVG.Attribs.s... | 0.461259 | 0.242632 |
import asyncio
from collections import defaultdict
import logging
import immp
log = logging.getLogger(__name__)
class AccessPredicate:
"""
Interface for hooks to provide channel access control from a backing source.
"""
async def channel_access(self, channel, user):
"""
Verify if a... | immp/hook/access.py | import asyncio
from collections import defaultdict
import logging
import immp
log = logging.getLogger(__name__)
class AccessPredicate:
"""
Interface for hooks to provide channel access control from a backing source.
"""
async def channel_access(self, channel, user):
"""
Verify if a... | 0.820901 | 0.163546 |
class MnExtractor:
def __init__(self):
self.binarizer = Binarizer()
self.skeletonizer = Skeletonizer()
#Calculate the crossing number
def calculate_cn(self, img, row_pos, col_pos):
#Iterating through the neighbour of p from p2 -> p3 -> p4 -> p5 -> p6 -> p7 -> p8
transitions = ... | MnExtractor.py | class MnExtractor:
def __init__(self):
self.binarizer = Binarizer()
self.skeletonizer = Skeletonizer()
#Calculate the crossing number
def calculate_cn(self, img, row_pos, col_pos):
#Iterating through the neighbour of p from p2 -> p3 -> p4 -> p5 -> p6 -> p7 -> p8
transitions = ... | 0.624866 | 0.506286 |
import asyncio
import logging
import sys
import unittest
from typing import AsyncIterator, Iterable
from unittest.mock import Mock, call
import pytest
from amundsen_gremlin.utils.streams import (
PeekingIterator, _assure_collection, async_consume_in_chunks,
consume_in_chunks, consume_in_chunks_with_state, on... | amundsengremlin/tests/unit/utils/test_streams.py |
import asyncio
import logging
import sys
import unittest
from typing import AsyncIterator, Iterable
from unittest.mock import Mock, call
import pytest
from amundsen_gremlin.utils.streams import (
PeekingIterator, _assure_collection, async_consume_in_chunks,
consume_in_chunks, consume_in_chunks_with_state, on... | 0.539469 | 0.486697 |
from PySide2.QtWidgets import *
from model import configuration
from resources.ui import config_item_ui
import vcs.p4manager as p4
class ConfigurationItemView(QWidget, config_item_ui.Ui_PackageConfiguration):
def __init__(self, packageConfig):
QWidget.__init__(self)
self.setupUi(self)
sel... | src/max_tools_updater/controller/configurationItemView.py | from PySide2.QtWidgets import *
from model import configuration
from resources.ui import config_item_ui
import vcs.p4manager as p4
class ConfigurationItemView(QWidget, config_item_ui.Ui_PackageConfiguration):
def __init__(self, packageConfig):
QWidget.__init__(self)
self.setupUi(self)
sel... | 0.44083 | 0.095771 |
from django.views.decorators.cache import never_cache
from django.views.generic import TemplateView
from django_filters import rest_framework as django_filters
from rest_framework import filters
from rest_framework import viewsets, permissions
from rest_framework.pagination import PageNumberPagination
from rest_framewo... | backend/api/views.py | from django.views.decorators.cache import never_cache
from django.views.generic import TemplateView
from django_filters import rest_framework as django_filters
from rest_framework import filters
from rest_framework import viewsets, permissions
from rest_framework.pagination import PageNumberPagination
from rest_framewo... | 0.675015 | 0.169819 |
import torch
import torch.nn as nn
import torch.nn.functional as F
CHANNELS = [20, 50, 500]
#CHANNELS = [40, 100, 500]
#CHANNELS = [10, 20, 100]
#CHANNELS = [6, 16, 120, 84]
#CHANNELS = [12, 32, 120, 84]
#CHANNELS = [32, 32, 120, 84]
class NetCCFFF(nn.Module):
def __init__(self, input_channels):
super(Ne... | pytorch/network.py | import torch
import torch.nn as nn
import torch.nn.functional as F
CHANNELS = [20, 50, 500]
#CHANNELS = [40, 100, 500]
#CHANNELS = [10, 20, 100]
#CHANNELS = [6, 16, 120, 84]
#CHANNELS = [12, 32, 120, 84]
#CHANNELS = [32, 32, 120, 84]
class NetCCFFF(nn.Module):
def __init__(self, input_channels):
super(Ne... | 0.933952 | 0.510496 |
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from .models import Car
from .test import TestCase
class RateViewTest(TestCase):
"""
tests for the RateView
"""
def setUp(self):
self.test_user = self.make_user(username="test_user")
self.fore... | pinax/ratings/tests/test_views.py | from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from .models import Car
from .test import TestCase
class RateViewTest(TestCase):
"""
tests for the RateView
"""
def setUp(self):
self.test_user = self.make_user(username="test_user")
self.fore... | 0.657758 | 0.318326 |
import psycopg2
import os
from dotenv import load_dotenv
import json
from psycopg2.extras import execute_values
import sqlite3
import wget
load_dotenv() # look in the .env file for env vars, and add them to the env
DB_NAME= os.getenv("DB_NAME", default="oops")
DB_USER= os.getenv("DB_USER", default="oops")
DB_PASSWORD... | module2-sql-for-analysis/rpg_to_postgres.py | import psycopg2
import os
from dotenv import load_dotenv
import json
from psycopg2.extras import execute_values
import sqlite3
import wget
load_dotenv() # look in the .env file for env vars, and add them to the env
DB_NAME= os.getenv("DB_NAME", default="oops")
DB_USER= os.getenv("DB_USER", default="oops")
DB_PASSWORD... | 0.244904 | 0.036322 |
def isWordGuessed(secretWord, lettersGuessed):
lettersFound = []
for i in secretWord:
for n in lettersGuessed:
if n == i:
lettersFound.append(i)
break
len(secretWord) == len(lettersFound)
return len(secretWord) == len(lettersFound... | Python/Python - MIT 6.0/Week 3/ps3.py | def isWordGuessed(secretWord, lettersGuessed):
lettersFound = []
for i in secretWord:
for n in lettersGuessed:
if n == i:
lettersFound.append(i)
break
len(secretWord) == len(lettersFound)
return len(secretWord) == len(lettersFound... | 0.327883 | 0.318578 |
from app.tomograph import Tomograph
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import argparse
parser = argparse.ArgumentParser(description='Process image like tomograph.')
parser.add_argument('--anim', default=False, type=bool, help='whether to animate output')
parser.add_argument(... | main.py | from app.tomograph import Tomograph
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import argparse
parser = argparse.ArgumentParser(description='Process image like tomograph.')
parser.add_argument('--anim', default=False, type=bool, help='whether to animate output')
parser.add_argument(... | 0.520496 | 0.280165 |
from datasets import fashion200k
from datasets import fashion_iq
from datasets import shoes
from datasets import vocabulary
import numpy as np
import tensorflow as tf
# python read_glove.py --dataset='fashion_iq' --data_path='datasets/fashion_iq/image_data'
# python read_glove.py --dataset='shoes' --data_path=''
# py... | read_glove.py | from datasets import fashion200k
from datasets import fashion_iq
from datasets import shoes
from datasets import vocabulary
import numpy as np
import tensorflow as tf
# python read_glove.py --dataset='fashion_iq' --data_path='datasets/fashion_iq/image_data'
# python read_glove.py --dataset='shoes' --data_path=''
# py... | 0.515864 | 0.245973 |
import os
from apsimRegions.preprocess.configMaker import create_many_config_files
from apsimRegions.preprocess.apsimPreprocess import preprocess_many
from apsimRegions.preprocess.batch import create_run_all_batchfile
def main():
experimentName = 'test'
outputDir = 'C:/ExampleProject/output/experiments/maize/... | scripts/preprocess.py |
import os
from apsimRegions.preprocess.configMaker import create_many_config_files
from apsimRegions.preprocess.apsimPreprocess import preprocess_many
from apsimRegions.preprocess.batch import create_run_all_batchfile
def main():
experimentName = 'test'
outputDir = 'C:/ExampleProject/output/experiments/maize/... | 0.250821 | 0.116487 |
import sys
import os
from matplotlib import pyplot as plt
import numpy as np
import csv
from collections import Counter
sys.path.append(os.getcwd())
os.environ["DJANGO_SETTINGS_MODULE"] = "as8_db.settings"
import django
django.setup()
from core import backup
def main():
backup.main()
organization_location(... | core/analytics.py | import sys
import os
from matplotlib import pyplot as plt
import numpy as np
import csv
from collections import Counter
sys.path.append(os.getcwd())
os.environ["DJANGO_SETTINGS_MODULE"] = "as8_db.settings"
import django
django.setup()
from core import backup
def main():
backup.main()
organization_location(... | 0.13005 | 0.270444 |
from __future__ import division
import optparse
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import colorsys
os.system('clear')
plt.ion()
Savepath = '/afs/psi.ch/project/EssentialMed/Dev/Images/CMOSDistance'
# Use Pythons Optionparser to define and read ... | lens_simulation.py | from __future__ import division
import optparse
import os
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import colorsys
os.system('clear')
plt.ion()
Savepath = '/afs/psi.ch/project/EssentialMed/Dev/Images/CMOSDistance'
# Use Pythons Optionparser to define and read ... | 0.500488 | 0.312331 |
import tensorflow as tf
import tensorflow
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.layers import (
Input,
concatenate,
ZeroPadding2D,
Lambda,
Dense,
Dropout,
Activation,
Convolution2D,
AveragePooling2D,
GlobalAveragePooling2D,
MaxPooling2... | handcam/ltt/network/model/DenseNet/densenet161_depth.py | import tensorflow as tf
import tensorflow
from tensorflow.python.keras.models import Model
from tensorflow.python.keras.layers import (
Input,
concatenate,
ZeroPadding2D,
Lambda,
Dense,
Dropout,
Activation,
Convolution2D,
AveragePooling2D,
GlobalAveragePooling2D,
MaxPooling2... | 0.930777 | 0.473414 |
import argparse
import csv
import multiprocessing
import os
import pickle
from pathlib import Path
from typing import Optional, Tuple
from attr import attrs
from nerpy import load_json
from nerpy.scoring import ScoringResult
from scripts.train_test import train_test
@attrs(auto_attribs=True)
class ExperimentConfigu... | scripts/run_full_expts.py | import argparse
import csv
import multiprocessing
import os
import pickle
from pathlib import Path
from typing import Optional, Tuple
from attr import attrs
from nerpy import load_json
from nerpy.scoring import ScoringResult
from scripts.train_test import train_test
@attrs(auto_attribs=True)
class ExperimentConfigu... | 0.743261 | 0.20836 |
import json
import logging
from datetime import datetime
from typing import List, Optional
import requests
from bs4 import BeautifulSoup
from feature.base import Feature
from utility.constant import DATE_FORMAT
from utility.system import get_res_path
from utility.html_builder import html_img, html_div, html_a, html_t... | feature/zhihu_story.py | import json
import logging
from datetime import datetime
from typing import List, Optional
import requests
from bs4 import BeautifulSoup
from feature.base import Feature
from utility.constant import DATE_FORMAT
from utility.system import get_res_path
from utility.html_builder import html_img, html_div, html_a, html_t... | 0.549157 | 0.08374 |
from github_automation.common.constants import OR
def get_first_column_items(client, config):
response = client.get_first_column_items(owner=config.project_owner,
name=config.repository_name,
project_number=config.project_nu... | src/github_automation/common/utils.py | from github_automation.common.constants import OR
def get_first_column_items(client, config):
response = client.get_first_column_items(owner=config.project_owner,
name=config.repository_name,
project_number=config.project_nu... | 0.368974 | 0.085442 |
import neovim
from html.parser import HTMLParser
import urllib.request
import re
import subprocess
import json
@neovim.plugin
class Main(object):
def __init__(self, vim):
self.vim = vim
self.opts = "{'relative': 'editor', 'width': 30, 'height': 30, 'col': &columns, 'row': 0, 'style': 'minimal'}"
... | rplugin/python3/atcoder-tester.py | import neovim
from html.parser import HTMLParser
import urllib.request
import re
import subprocess
import json
@neovim.plugin
class Main(object):
def __init__(self, vim):
self.vim = vim
self.opts = "{'relative': 'editor', 'width': 30, 'height': 30, 'col': &columns, 'row': 0, 'style': 'minimal'}"
... | 0.124519 | 0.115536 |
from .utils import ConfiguratorTestCase
from unittest.mock import MagicMock
from ignition.boot.config import BootstrapApplicationConfiguration, BootProperties
from ignition.boot.configurators.messaging import MessagingConfigurator
from ignition.service.messaging import MessagingProperties, DeliveryCapability, PostalCap... | tests/unit/boot/configurators/test_messaging.py | from .utils import ConfiguratorTestCase
from unittest.mock import MagicMock
from ignition.boot.config import BootstrapApplicationConfiguration, BootProperties
from ignition.boot.configurators.messaging import MessagingConfigurator
from ignition.service.messaging import MessagingProperties, DeliveryCapability, PostalCap... | 0.729134 | 0.166286 |
from flask import Flask, redirect, url_for, request, render_template
import requests
import json
from collections import namedtuple
import ipaddress
from ipaddress import ip_network, IPv4Network
import time
app = Flask(__name__)
class Controller:
def __init__(self):
from longlists im... | main.py | from flask import Flask, redirect, url_for, request, render_template
import requests
import json
from collections import namedtuple
import ipaddress
from ipaddress import ip_network, IPv4Network
import time
app = Flask(__name__)
class Controller:
def __init__(self):
from longlists im... | 0.329284 | 0.05921 |
import os
import torch
import torch.nn.functional as F
import numpy as np
from PIL import Image
from skimage import io
import cv2
def create_anchors_3d_stride(grid_size,
voxel_size=[0.16, 0.16, 0.5],
coordinates_offsets=[0, -19.84, -2.5],
... | pcdet/fusion/pointpillars_center.py | import os
import torch
import torch.nn.functional as F
import numpy as np
from PIL import Image
from skimage import io
import cv2
def create_anchors_3d_stride(grid_size,
voxel_size=[0.16, 0.16, 0.5],
coordinates_offsets=[0, -19.84, -2.5],
... | 0.635675 | 0.532121 |
import comet_ml
import sys
sys.path.append('..')
import numpy as np
from tcr_embedding.models.model_selection import run_model_selection
import tcr_embedding.utils_training as utils
from tcr_embedding.utils_preprocessing import group_shuffle_split
import os
import argparse
random_seed = 42
utils.fix_seeds(random_... | experiments/borcherding.py | import comet_ml
import sys
sys.path.append('..')
import numpy as np
from tcr_embedding.models.model_selection import run_model_selection
import tcr_embedding.utils_training as utils
from tcr_embedding.utils_preprocessing import group_shuffle_split
import os
import argparse
random_seed = 42
utils.fix_seeds(random_... | 0.303009 | 0.177454 |
import numpy as np
def edit_distance_with_errors(str1, str2, debug = False):
"""
Calculates Levenstein distance a.k.a. edit distance of two lists, and
number of each error type.
Returns dictionary:
"edit_distance"
"substitutions"
"insertions"
"deletions"
"""
... | code/stringmetrics.py | import numpy as np
def edit_distance_with_errors(str1, str2, debug = False):
"""
Calculates Levenstein distance a.k.a. edit distance of two lists, and
number of each error type.
Returns dictionary:
"edit_distance"
"substitutions"
"insertions"
"deletions"
"""
... | 0.417984 | 0.508117 |
from os import system,environ,getlogin,mkdir
from time import sleep,ctime
from shutil import *
from os.path import *
from sys import argv,platform,version,stdout
from urllib.request import urlopen as buka
from random import choice
from json import load
def main():
system('clear')
try:
print ('\033[94m... | tombol.py | from os import system,environ,getlogin,mkdir
from time import sleep,ctime
from shutil import *
from os.path import *
from sys import argv,platform,version,stdout
from urllib.request import urlopen as buka
from random import choice
from json import load
def main():
system('clear')
try:
print ('\033[94m... | 0.037117 | 0.074164 |
kannada = {
"ಅಂಕ":True,
"ಅಂಕಗಣಿತ":True,
"ಅಂಕಣ":True,
"ಅಂಕಣಗಾರ":True,
"ಅಂಕಿ":True,
"ಅಂಕಿ":True,
"ಅಂಕಿಅಂಶ":True,
"ಅಂಕಿತ":True,
"ಅಂಕಿತನಾಮ":True,
"ಅಂಕುಡೊಂಕು":True,
"ಅಂಕುರ":True,
"ಅಂಕುರಾರ್ಪಣ":True,
"ಅಂಕುರಿಸು":True,
"ಅಂಕುಶ":True,
"ಅಂಕೆ":True,
"ಅಂಗ":True,
"ಅಂಗಚೇಷ್ಟೆ":True,
"ಅಂಗಡಿ":True,
"ಅಂಗಡಿಕೇರಿ":True,
"ಅಂಗಡಿಬೀದಿ":True,
"ಅಂ... | wordmatki/kannada.py | kannada = {
"ಅಂಕ":True,
"ಅಂಕಗಣಿತ":True,
"ಅಂಕಣ":True,
"ಅಂಕಣಗಾರ":True,
"ಅಂಕಿ":True,
"ಅಂಕಿ":True,
"ಅಂಕಿಅಂಶ":True,
"ಅಂಕಿತ":True,
"ಅಂಕಿತನಾಮ":True,
"ಅಂಕುಡೊಂಕು":True,
"ಅಂಕುರ":True,
"ಅಂಕುರಾರ್ಪಣ":True,
"ಅಂಕುರಿಸು":True,
"ಅಂಕುಶ":True,
"ಅಂಕೆ":True,
"ಅಂಗ":True,
"ಅಂಗಚೇಷ್ಟೆ":True,
"ಅಂಗಡಿ":True,
"ಅಂಗಡಿಕೇರಿ":True,
"ಅಂಗಡಿಬೀದಿ":True,
"ಅಂ... | 0.147893 | 0.9601 |
from __future__ import unicode_literals
from StringIO import StringIO
import binascii
import os
import struct
import time
import win32file
import yaml
import glob
from _analyzemft.mftsession import _MftSession
from disk_analysis import DiskAnalysis
from environment_settings import Partitions, Disks, OperatingSystem #... | Fastir_Collector/dump/dump.py | from __future__ import unicode_literals
from StringIO import StringIO
import binascii
import os
import struct
import time
import win32file
import yaml
import glob
from _analyzemft.mftsession import _MftSession
from disk_analysis import DiskAnalysis
from environment_settings import Partitions, Disks, OperatingSystem #... | 0.398641 | 0.067547 |
__author__ = '<NAME>'
__version__ = '1.0.0'
import argparse
import hashlib
import json
import os
import requests
import select
import socket
import time
parser = argparse.ArgumentParser()
parser.add_argument('--virus-total', action='store_true')
parser.add_argument('--team-cymru', action='store_true')
args = parser.p... | Python/pivot2osint.py | __author__ = '<NAME>'
__version__ = '1.0.0'
import argparse
import hashlib
import json
import os
import requests
import select
import socket
import time
parser = argparse.ArgumentParser()
parser.add_argument('--virus-total', action='store_true')
parser.add_argument('--team-cymru', action='store_true')
args = parser.p... | 0.294519 | 0.087058 |
from __future__ import print_function, division, absolute_import
from .. import imgaug as ia
# TODO replace these imports with iap.XYZ
from ..parameters import StochasticParameter, Deterministic, DiscreteUniform, Uniform
import numpy as np
from scipy import ndimage
from skimage import draw
from skimage import da... | imgaug/augmenters/spot.py | from __future__ import print_function, division, absolute_import
from .. import imgaug as ia
# TODO replace these imports with iap.XYZ
from ..parameters import StochasticParameter, Deterministic, DiscreteUniform, Uniform
import numpy as np
from scipy import ndimage
from skimage import draw
from skimage import da... | 0.340156 | 0.229298 |
from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
import requests
import pandas as pd
import time
import os
def scrape_all():
browser=init_browser()
news_title, news_p=scrape_Nasa_Mars_news(browser)
mars_dict={
"Title":news_title,
... | Missions_to_Mars/scrape_mars.py | from splinter import Browser
from bs4 import BeautifulSoup
from webdriver_manager.chrome import ChromeDriverManager
import requests
import pandas as pd
import time
import os
def scrape_all():
browser=init_browser()
news_title, news_p=scrape_Nasa_Mars_news(browser)
mars_dict={
"Title":news_title,
... | 0.343232 | 0.081849 |
import scrapy
from scrapy import log
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from rcbi.items import Part
import copy
import re
import urllib
import urlparse
MANUFACTURERS = ["Pololu"]
CORRECT = {"GemFan": "Gemfan"}
MANUFACTURERS.extend(CORRECT.keys())
QUANTITY = {"... | rcbi/rcbi/spiders/LizardRC.py | import scrapy
from scrapy import log
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from rcbi.items import Part
import copy
import re
import urllib
import urlparse
MANUFACTURERS = ["Pololu"]
CORRECT = {"GemFan": "Gemfan"}
MANUFACTURERS.extend(CORRECT.keys())
QUANTITY = {"... | 0.213213 | 0.085862 |
import json, logging, os
from datetime import datetime
from urllib.parse import urlencode, urlparse, parse_qs
from django.http import HttpResponse, JsonResponse
from django.contrib.auth import forms as userforms
from django.urls import reverse
from django.shortcuts import render_to_response, redirect
from django.utils.... | api_app/views.py | import json, logging, os
from datetime import datetime
from urllib.parse import urlencode, urlparse, parse_qs
from django.http import HttpResponse, JsonResponse
from django.contrib.auth import forms as userforms
from django.urls import reverse
from django.shortcuts import render_to_response, redirect
from django.utils.... | 0.372619 | 0.067485 |
import argparse
import pika
import os
import sys
import binascii
import json
from DefenseLab import config
def callback(ch, method, properties, body):
print body
ch.basic_ack(delivery_tag=method.delivery_tag)
sys.exit()
return
def serviceStart(args):
connection = pika.BlockingConnection(pika.Con... | DefenseCLI.py | import argparse
import pika
import os
import sys
import binascii
import json
from DefenseLab import config
def callback(ch, method, properties, body):
print body
ch.basic_ack(delivery_tag=method.delivery_tag)
sys.exit()
return
def serviceStart(args):
connection = pika.BlockingConnection(pika.Con... | 0.305386 | 0.125762 |
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import relationship
from src.model import db
from src.model import common
class MovieColor(db.ModelBase):
""" Movie color """
__tablename__ = 'movie_colors'
#: Primary key
pk = Column(Integer, primary_key=True, autoincrement=True)
... | src/model/fields.py | from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import relationship
from src.model import db
from src.model import common
class MovieColor(db.ModelBase):
""" Movie color """
__tablename__ = 'movie_colors'
#: Primary key
pk = Column(Integer, primary_key=True, autoincrement=True)
... | 0.790207 | 0.22212 |
import torch
from torch import Tensor
from pytorch_transformers import XLNetConfig, XLNetModel, XLNetTokenizer
from pytorch_transformers.modeling_xlnet import XLNetPreTrainedModel
from typing import Union, Tuple, List
from .. import LossFunction
from .. import SentenceTransformerConfig
from .TransformerModel import T... | sentence_transformers/models/XLNet.py | import torch
from torch import Tensor
from pytorch_transformers import XLNetConfig, XLNetModel, XLNetTokenizer
from pytorch_transformers.modeling_xlnet import XLNetPreTrainedModel
from typing import Union, Tuple, List
from .. import LossFunction
from .. import SentenceTransformerConfig
from .TransformerModel import T... | 0.914105 | 0.428413 |
import sys
from collections import namedtuple
# b:begin, m: middle, e: end
LR = namedtuple('LR', 'l l_tag r r_tag b m e')
class BaseTemplateMatcher:
def generate(self, token):
raise NotImplementedError
class EojeolTemplateMatcher(BaseTemplateMatcher):
def __init__(self, dictionary, single_tags=None, ... | SoyNLP/soynlp/pos/_template.py | import sys
from collections import namedtuple
# b:begin, m: middle, e: end
LR = namedtuple('LR', 'l l_tag r r_tag b m e')
class BaseTemplateMatcher:
def generate(self, token):
raise NotImplementedError
class EojeolTemplateMatcher(BaseTemplateMatcher):
def __init__(self, dictionary, single_tags=None, ... | 0.350199 | 0.337067 |
from pickle import load
from pickle import dump
from collections import Counter
# load a clean dataset
def load_clean_sentences(filename):
return load(open(filename, 'rb'))
# save a list of clean sentences to file
def save_clean_sentences(sentences, filename):
dump(sentences, open(filename, 'wb'))
print('Saved... | Chapter06/read_clean.py |
from pickle import load
from pickle import dump
from collections import Counter
# load a clean dataset
def load_clean_sentences(filename):
return load(open(filename, 'rb'))
# save a list of clean sentences to file
def save_clean_sentences(sentences, filename):
dump(sentences, open(filename, 'wb'))
print('Saved... | 0.318591 | 0.21566 |
import copy
from kripke_model import get_relations, generate_worlds, get_proposition
from codemaker import LENGTH_OF_CODE
from github_com.erohkohl.mlsolver.kripke import KripkeStructure
class KnowledgeManager:
"""
Maintains the knowledge structure for the game.
Initialises with a Kripke Model for the game... | knowledge_manager.py | import copy
from kripke_model import get_relations, generate_worlds, get_proposition
from codemaker import LENGTH_OF_CODE
from github_com.erohkohl.mlsolver.kripke import KripkeStructure
class KnowledgeManager:
"""
Maintains the knowledge structure for the game.
Initialises with a Kripke Model for the game... | 0.626581 | 0.482551 |
from tectle.db import get_connection_non_flask
from tectle.config import load_config_non_flask
import requests
def upgrade(conn, cur, config):
version = get_version(cur)
new_version = version
try:
if version < 1:
query = """
CREATE TABLE db_version (
... | scripts/upgrade.py | from tectle.db import get_connection_non_flask
from tectle.config import load_config_non_flask
import requests
def upgrade(conn, cur, config):
version = get_version(cur)
new_version = version
try:
if version < 1:
query = """
CREATE TABLE db_version (
... | 0.22051 | 0.050471 |
from collections import defaultdict
import sys
UP = (-1, 0)
DOWN = (1, 0)
LEFT = (0, -1)
RIGHT = (0, 1)
def default_factory():
return "."
def turn_left(direction):
if direction == UP:
return LEFT
if direction == LEFT:
return DOWN
if direction == DOWN:
return RIGHT
if... | 2017/day_22/solution_p2.py | from collections import defaultdict
import sys
UP = (-1, 0)
DOWN = (1, 0)
LEFT = (0, -1)
RIGHT = (0, 1)
def default_factory():
return "."
def turn_left(direction):
if direction == UP:
return LEFT
if direction == LEFT:
return DOWN
if direction == DOWN:
return RIGHT
if... | 0.424054 | 0.510069 |
import requests
import json
import seismo
import numpy as np
from . import utils
class RemoteFunction(object):
'''
This class represents a remote function that can be called on a
seismo-server
'''
def __init__(self, name, host='http://localhost', port=5000):
'''
Initialise this wi... | seismo/session.py | import requests
import json
import seismo
import numpy as np
from . import utils
class RemoteFunction(object):
'''
This class represents a remote function that can be called on a
seismo-server
'''
def __init__(self, name, host='http://localhost', port=5000):
'''
Initialise this wi... | 0.497803 | 0.182535 |
from copy import copy
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import brewer2mpl as b2mpl
from tqdm import tqdm
import seaborn.apionly as sns
from .FS_colorLUT import get_lut
from seaborn.utils import set_hls_values
def electrode_grid(gridx=16, gridy=16, elects_to_plot=None, anatomy... | electrode_grid/electrode_grid.py | from copy import copy
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import brewer2mpl as b2mpl
from tqdm import tqdm
import seaborn.apionly as sns
from .FS_colorLUT import get_lut
from seaborn.utils import set_hls_values
def electrode_grid(gridx=16, gridy=16, elects_to_plot=None, anatomy... | 0.750187 | 0.493409 |
import numpy as np
import tensorflow as tf
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import RandomForestClassifier, VotingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
__author__ = "<NAME>"
__version__ = "1.0"
__email__ = "<EMAIL>"
class Ensemb... | classification_service.py | import numpy as np
import tensorflow as tf
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import RandomForestClassifier, VotingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
__author__ = "<NAME>"
__version__ = "1.0"
__email__ = "<EMAIL>"
class Ensemb... | 0.806738 | 0.387401 |
import warnings
warnings.filterwarnings("ignore")
import os
os.environ["CUDA_VISIBLE_DEVICES"] = '0'
import numpy as np
import pandas as pd
import tensorflow as tf
from tensorflow.keras import Sequential, layers, utils
from sklearn.model_selection import train_test_split
data = pd.read_csv("data/bike_data.cs... | recommender_system_lstm.py |
import warnings
warnings.filterwarnings("ignore")
import os
os.environ["CUDA_VISIBLE_DEVICES"] = '0'
import numpy as np
import pandas as pd
import tensorflow as tf
from tensorflow.keras import Sequential, layers, utils
from sklearn.model_selection import train_test_split
data = pd.read_csv("data/bike_data.cs... | 0.418935 | 0.330714 |
import re
import json
import hashlib
import yaml
import numpy as np
import pymatgen as pmg
from ..schema import PotentialSchema
from ..parameter import FloatParameter
from ..utils import get_naive_attr_path
class Potential:
def __init__(self, schema):
schema_load, errors = PotentialSchema().load(schema)... | dftfit/potential/representation.py | import re
import json
import hashlib
import yaml
import numpy as np
import pymatgen as pmg
from ..schema import PotentialSchema
from ..parameter import FloatParameter
from ..utils import get_naive_attr_path
class Potential:
def __init__(self, schema):
schema_load, errors = PotentialSchema().load(schema)... | 0.633977 | 0.286662 |
import datetime
diagram = modeler.script.diagram()
stream = modeler.script.stream()
p_first = stream.getParameterValue("P_FIRST")
p_last = stream.getParameterValue("P_LAST")
# Data Directory
direc = "C:/.."
# Periods List
def periods_between(p_first,p_last):
periods_list = []
date = datetime.dat... | exec_date_aggs.py | import datetime
diagram = modeler.script.diagram()
stream = modeler.script.stream()
p_first = stream.getParameterValue("P_FIRST")
p_last = stream.getParameterValue("P_LAST")
# Data Directory
direc = "C:/.."
# Periods List
def periods_between(p_first,p_last):
periods_list = []
date = datetime.dat... | 0.261708 | 0.192634 |
g1_1 = '↘️Як укласти договір на підключення до мережі Інтернет?\n\n' \
'✏️Потрібно просто залишити заявку на підключення.\n' \
'Договір з Вами укладе наш фахівець при підключенні.\n' \
'Для цього Вам необхідно мати при собі паспорт або ID-карту\n'
g1_2 = '↘️Я переїжджаю, але не хочу... | telegram_bot/utils/faq_answers.py | g1_1 = '↘️Як укласти договір на підключення до мережі Інтернет?\n\n' \
'✏️Потрібно просто залишити заявку на підключення.\n' \
'Договір з Вами укладе наш фахівець при підключенні.\n' \
'Для цього Вам необхідно мати при собі паспорт або ID-карту\n'
g1_2 = '↘️Я переїжджаю, але не хочу... | 0.046823 | 0.25239 |
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.views.generic import ListView, CreateView, UpdateView, TemplateView, DeleteView, DetailView
from django.contrib.auth.mixins import LoginRequiredMixin
from .models import Book
from .forms import CreateBookForm, Up... | src/books/views.py | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.views.generic import ListView, CreateView, UpdateView, TemplateView, DeleteView, DetailView
from django.contrib.auth.mixins import LoginRequiredMixin
from .models import Book
from .forms import CreateBookForm, Up... | 0.311846 | 0.0524 |
import html.parser
import logging
import time
import sys
# Third-Party Libraries
from bs4 import BeautifulSoup
import requests
# Custom Libraries
import version
parser = html.parser.HTMLParser()
def request_sentences():
# TODO: Create with keyword parameters
pass
def generate_example_sentences(keyword_to_s... | source_code/tatoeba_scraper.py | import html.parser
import logging
import time
import sys
# Third-Party Libraries
from bs4 import BeautifulSoup
import requests
# Custom Libraries
import version
parser = html.parser.HTMLParser()
def request_sentences():
# TODO: Create with keyword parameters
pass
def generate_example_sentences(keyword_to_s... | 0.134037 | 0.138258 |
import csv
from dataclasses import dataclass
from datetime import date
from pathlib import Path
from typing import Optional, Iterable
@dataclass
class ReportEntry:
"""An entry in a report."""
pdf_path: Path
"""The path on disk to the pdf file."""
pdf_hash_type: str
"""The hash algorithm used to ... | leaf_focus/report/item/report_entry.py | import csv
from dataclasses import dataclass
from datetime import date
from pathlib import Path
from typing import Optional, Iterable
@dataclass
class ReportEntry:
"""An entry in a report."""
pdf_path: Path
"""The path on disk to the pdf file."""
pdf_hash_type: str
"""The hash algorithm used to ... | 0.888396 | 0.526465 |
"""Test result collection model."""
import itertools
from nose.tools import *
from mock import patch
from default import Test, with_context, flask_app
from requests.exceptions import HTTPError
from factories import UserFactory, TaskFactory
from flask import url_for, current_app
from pybossa.model.task import Task
fro... | test/test_model/test_result_collection.py | """Test result collection model."""
import itertools
from nose.tools import *
from mock import patch
from default import Test, with_context, flask_app
from requests.exceptions import HTTPError
from factories import UserFactory, TaskFactory
from flask import url_for, current_app
from pybossa.model.task import Task
fro... | 0.822011 | 0.278514 |
import matplotlib
import numpy as np
import gym
import matplotlib.pyplot as plt
from sklearn.kernel_approximation import RBFSampler
from sklearn.linear_model import SGDClassifier
from mpl_toolkits.mplot3d import Axes3D
import sklearn.pipeline
import sklearn.preprocessing
from wrappers import RobustRewardEnv
# Normali... | sarsa.py | import matplotlib
import numpy as np
import gym
import matplotlib.pyplot as plt
from sklearn.kernel_approximation import RBFSampler
from sklearn.linear_model import SGDClassifier
from mpl_toolkits.mplot3d import Axes3D
import sklearn.pipeline
import sklearn.preprocessing
from wrappers import RobustRewardEnv
# Normali... | 0.769167 | 0.743238 |
import os
from getpass import getuser
import subprocess
class Deploy:
"""
Class to manage the major deployment tasks
"""
def __init__(self, project_details):
self.project_name = project_details['project_name']
self.project_directory = project_details['project_directory']
s... | WebDeploy/scripts/deploy_flask.py | import os
from getpass import getuser
import subprocess
class Deploy:
"""
Class to manage the major deployment tasks
"""
def __init__(self, project_details):
self.project_name = project_details['project_name']
self.project_directory = project_details['project_directory']
s... | 0.375821 | 0.062646 |
import json
from django.urls import reverse
from trade_remedies_client.client import Client
from config.version import __version__
def motd_context(request):
return {"public_notice": Client().get_system_parameters("PUBLIC_NOTICE").get("value")}
def user_context(request):
token = request.session.get("token")... | trade_remedies_public/config/context_processors.py | import json
from django.urls import reverse
from trade_remedies_client.client import Client
from config.version import __version__
def motd_context(request):
return {"public_notice": Client().get_system_parameters("PUBLIC_NOTICE").get("value")}
def user_context(request):
token = request.session.get("token")... | 0.303319 | 0.101634 |
import argparse
import subprocess
import json
import os
import glob
import unicodedata
def parse_arg():
"""Parse arguments."""
# define arguments
parser = argparse.ArgumentParser(description='demo project')
parser.add_argument('filepath', type=str, help='path for input file')
parser.add_argument(... | utils.py | import argparse
import subprocess
import json
import os
import glob
import unicodedata
def parse_arg():
"""Parse arguments."""
# define arguments
parser = argparse.ArgumentParser(description='demo project')
parser.add_argument('filepath', type=str, help='path for input file')
parser.add_argument(... | 0.398758 | 0.106924 |
from PyMIPS.Datastructure.instruction_types import IType, RType, JType
from PyMIPS.AST.validator import validate
import unittest
class TestRType(unittest.TestCase):
def test_all(self):
try:
RType("add", "$t3", "$t2", "$t1")
RType("addu", "$t3", "$t2", "$t1")
RType("and"... | src/PyMIPS/tests/validator_test.py | from PyMIPS.Datastructure.instruction_types import IType, RType, JType
from PyMIPS.AST.validator import validate
import unittest
class TestRType(unittest.TestCase):
def test_all(self):
try:
RType("add", "$t3", "$t2", "$t1")
RType("addu", "$t3", "$t2", "$t1")
RType("and"... | 0.421195 | 0.756155 |
import hashlib
import gzip
import logging
import os
import shutil
from cryptography.hazmat.primitives.ciphers import Cipher, modes
from cryptography.hazmat.primitives.ciphers.algorithms import AES
from cryptography.hazmat.primitives.padding import PKCS7
from cryptography.hazmat.backends import default_backend
from cry... | bitglitter/utilities/filemanipulation.py | import hashlib
import gzip
import logging
import os
import shutil
from cryptography.hazmat.primitives.ciphers import Cipher, modes
from cryptography.hazmat.primitives.ciphers.algorithms import AES
from cryptography.hazmat.primitives.padding import PKCS7
from cryptography.hazmat.backends import default_backend
from cry... | 0.451327 | 0.322739 |
import numpy as np
import os
import cubeventure as cv
visu_name = 'firework'
i_grid = 7
mid = np.floor(i_grid/2).astype(np.int)
data_matrix = np.zeros((i_grid, i_grid, i_grid, 30))
# define a falling drop
def make_drop_mat(mat, x, y, t):
drop_mat = np.zeros((i_grid, i_grid, i_grid, i_grid))
for i in np.arang... | visu_firework.py | import numpy as np
import os
import cubeventure as cv
visu_name = 'firework'
i_grid = 7
mid = np.floor(i_grid/2).astype(np.int)
data_matrix = np.zeros((i_grid, i_grid, i_grid, 30))
# define a falling drop
def make_drop_mat(mat, x, y, t):
drop_mat = np.zeros((i_grid, i_grid, i_grid, i_grid))
for i in np.arang... | 0.330471 | 0.540985 |
import platform
import webbrowser
from pathlib import Path
from invoke import task # type: ignore
from invoke.runners import Failure, Result # type: ignore
ROOT_DIR = Path(__file__).parent
DOCS_DIR = ROOT_DIR.joinpath("docs")
DOCS_BUILD_DIR = DOCS_DIR.joinpath("_build")
DOCS_INDEX = DOCS_BUILD_DIR.joinpath("index.... | tasks.py |
import platform
import webbrowser
from pathlib import Path
from invoke import task # type: ignore
from invoke.runners import Failure, Result # type: ignore
ROOT_DIR = Path(__file__).parent
DOCS_DIR = ROOT_DIR.joinpath("docs")
DOCS_BUILD_DIR = DOCS_DIR.joinpath("_build")
DOCS_INDEX = DOCS_BUILD_DIR.joinpath("index.... | 0.579638 | 0.13489 |
import os.path
class Properties:
_default_properties_file = "fwd-ansible.properties"
def __init__(self, module, properties_file_path):
if properties_file_path is not None and not os.path.isfile(properties_file_path):
module.fail_json(rc=256, msg="Forward server properties file '%s' does... | module_utils/forward.py |
import os.path
class Properties:
_default_properties_file = "fwd-ansible.properties"
def __init__(self, module, properties_file_path):
if properties_file_path is not None and not os.path.isfile(properties_file_path):
module.fail_json(rc=256, msg="Forward server properties file '%s' does... | 0.424889 | 0.10004 |
# Control our fan
import RPi.GPIO as GPIO
from subprocess import Popen, PIPE
import argparse
# setup pin for fan
fan = 17
feedback = 13
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
# these are the arguments to be passed into our program
parser = argparse.ArgumentParser()
parser.add_argument("-o", "--option", meta... | fan-control.py |
# Control our fan
import RPi.GPIO as GPIO
from subprocess import Popen, PIPE
import argparse
# setup pin for fan
fan = 17
feedback = 13
GPIO.setmode(GPIO.BCM)
GPIO.setwarnings(False)
# these are the arguments to be passed into our program
parser = argparse.ArgumentParser()
parser.add_argument("-o", "--option", meta... | 0.150684 | 0.116261 |
from __future__ import print_function, unicode_literals
import os
import magic
import json
import hashlib
import uuid
"""Utils module"""
class utils:
"""
Regroupment of useful functions
All methods are static
"""
@staticmethod
def check_mime_type(filename, mime_type_allowed):
"""
... | cerespacketexploder/utils.py |
from __future__ import print_function, unicode_literals
import os
import magic
import json
import hashlib
import uuid
"""Utils module"""
class utils:
"""
Regroupment of useful functions
All methods are static
"""
@staticmethod
def check_mime_type(filename, mime_type_allowed):
"""
... | 0.672977 | 0.15961 |
from django.conf import settings
from django.contrib import admin
from django.urls import path
from django.conf.urls import url
from django.conf.urls.static import static
from funnysociety import views
from django.urls import path, include
from django.views.generic.base import TemplateView
from django.contrib.auth.vie... | bwa2018djangoproject/urls.py | from django.conf import settings
from django.contrib import admin
from django.urls import path
from django.conf.urls import url
from django.conf.urls.static import static
from funnysociety import views
from django.urls import path, include
from django.views.generic.base import TemplateView
from django.contrib.auth.vie... | 0.134094 | 0.045142 |
from datetime import datetime
import argparse
from model.metatile import Metatile
from utils import read_pickle, write_pickle, get_filepath, error_exit
def main(game, level, metatile_coords_dict_file, metatile_id_map_file, player_img):
start_time = datetime.now()
print("\nCreating {(tile id, extra_info): co... | get_tile_id_coords_map.py | from datetime import datetime
import argparse
from model.metatile import Metatile
from utils import read_pickle, write_pickle, get_filepath, error_exit
def main(game, level, metatile_coords_dict_file, metatile_id_map_file, player_img):
start_time = datetime.now()
print("\nCreating {(tile id, extra_info): co... | 0.397237 | 0.111434 |
import numpy as np
from preprocessing import augment_data, convert_images_gray2rgb
from unet_model import unet
import tiramisu_model as tiramisu
import argparse
#Importing keras function
from keras.models import Model
from keras.layers import Input, concatenate, Conv2D, MaxPooling2D, Conv2DTranspose
from keras.optimiz... | hastings/fit_predict_unet.py | import numpy as np
from preprocessing import augment_data, convert_images_gray2rgb
from unet_model import unet
import tiramisu_model as tiramisu
import argparse
#Importing keras function
from keras.models import Model
from keras.layers import Input, concatenate, Conv2D, MaxPooling2D, Conv2DTranspose
from keras.optimiz... | 0.791176 | 0.58353 |
import string
import hashlib
from datetime import datetime
from nltk import *
class TweetProcess:
"""class for processing the textual content of a tweet"""
def __init__(self,tweet):
"""Constructor method for TweetTextProcess"""
#json formatted tweet from twitter stream
self.twe... | EventInfoProcess/EventTweetProcess.py | import string
import hashlib
from datetime import datetime
from nltk import *
class TweetProcess:
"""class for processing the textual content of a tweet"""
def __init__(self,tweet):
"""Constructor method for TweetTextProcess"""
#json formatted tweet from twitter stream
self.twe... | 0.41941 | 0.129375 |
import random
class TaskDistributions:
EXP_TASKS, EXP_JOBS, CONSTANT = range(3)
class Job(object):
job_count = 0
def __init__(self, num_tasks, start_time, task_distribution, median_task_duration, scheduler=0):
self.id = Job.job_count
Job.job_count += 1
self.num_tasks = num_tasks
... | simulation/util.py |
import random
class TaskDistributions:
EXP_TASKS, EXP_JOBS, CONSTANT = range(3)
class Job(object):
job_count = 0
def __init__(self, num_tasks, start_time, task_distribution, median_task_duration, scheduler=0):
self.id = Job.job_count
Job.job_count += 1
self.num_tasks = num_tasks
... | 0.375363 | 0.304436 |
from collections import defaultdict
from decr_prob_counter import DecreasingProbCounter
from exact_counter import ExactCounter
from fixed_prob_counter import FixedProbCounter
import time
from math import sqrt
from tabulate import tabulate
from utils import *
import matplotlib.pyplot as plt
class Test():
def __ini... | src/tests.py | from collections import defaultdict
from decr_prob_counter import DecreasingProbCounter
from exact_counter import ExactCounter
from fixed_prob_counter import FixedProbCounter
import time
from math import sqrt
from tabulate import tabulate
from utils import *
import matplotlib.pyplot as plt
class Test():
def __ini... | 0.501953 | 0.309324 |
import frida
import sys
import time
import os
import codecs
def on_message(message, data):
if message['type'] == 'send':
print("[*] {0}".format(message['payload']))
else:
print(message)
def loadJSScript(filePath):
source = ''
script_dir = os.path.dirname(os.path.realpath(__file__))
JSHookFile = os.path.join(... | Android/sample/android-app-dexdump.py | import frida
import sys
import time
import os
import codecs
def on_message(message, data):
if message['type'] == 'send':
print("[*] {0}".format(message['payload']))
else:
print(message)
def loadJSScript(filePath):
source = ''
script_dir = os.path.dirname(os.path.realpath(__file__))
JSHookFile = os.path.join(... | 0.067171 | 0.05301 |
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from pylab import *
from netCDF4 import Dataset
import datetime
__author__ = '<NAME>'
__email__ = '<EMAIL>'
__created__ = datetime.datetime(2012, 8, 20)
__modified__ = datetime.datetime(2014, 2, 11)
__version__ = "1.0"
_... | TimeseriesAndDomainAnalysis/createOceanCurrentMaps.py | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from pylab import *
from netCDF4 import Dataset
import datetime
__author__ = '<NAME>'
__email__ = '<EMAIL>'
__created__ = datetime.datetime(2012, 8, 20)
__modified__ = datetime.datetime(2014, 2, 11)
__version__ = "1.0"
_... | 0.402862 | 0.35869 |
import random, json
from colorful.fields import RGBColorField
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from django.db import models
from django.utils import timezone
from django_redis import get_redis_connection
BEST_COLOURS = (
"#1b85b8",
"#03c03c",
"#559e8... | nyuuustead/models.py | import random, json
from colorful.fields import RGBColorField
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
from django.db import models
from django.utils import timezone
from django_redis import get_redis_connection
BEST_COLOURS = (
"#1b85b8",
"#03c03c",
"#559e8... | 0.528047 | 0.176565 |
import numpy as np
import matplotlib.pyplot as plt
from custom_poling.utils.pmf import pmf
class Crystal:
""" A class for a poled crystal.
Attr:
domain_width
number_domains
z0
length = domain_width * number_domains
domain_walls
domain_middles
"""
d... | custom_poling/core/crystal.py | import numpy as np
import matplotlib.pyplot as plt
from custom_poling.utils.pmf import pmf
class Crystal:
""" A class for a poled crystal.
Attr:
domain_width
number_domains
z0
length = domain_width * number_domains
domain_walls
domain_middles
"""
d... | 0.885173 | 0.463444 |
from datetime import datetime
from playhouse.apsw_ext import (
Model,
Proxy,
CharField,
CompositeKey,
DateTimeField,
ForeignKeyField,
IntegerField,
TextField,
)
db = Proxy()
class BaseModel(Model):
class Meta:
database = db
class Limit(BaseModel):
key = CharField(ma... | reprobench/core/db.py | from datetime import datetime
from playhouse.apsw_ext import (
Model,
Proxy,
CharField,
CompositeKey,
DateTimeField,
ForeignKeyField,
IntegerField,
TextField,
)
db = Proxy()
class BaseModel(Model):
class Meta:
database = db
class Limit(BaseModel):
key = CharField(ma... | 0.603114 | 0.109944 |
import unidecode
def convert_input_units(decoded_data):
latitude_data = decoded_data[0]
longitude_data = decoded_data[1]
altitude_data = decoded_data[2]
instruction_data = decoded_data[3]
name_data = decoded_data[4]
latitude_data_converted=[]
longitude_data_converted=[]
altitude_data_c... | source/units_conversion.py | import unidecode
def convert_input_units(decoded_data):
latitude_data = decoded_data[0]
longitude_data = decoded_data[1]
altitude_data = decoded_data[2]
instruction_data = decoded_data[3]
name_data = decoded_data[4]
latitude_data_converted=[]
longitude_data_converted=[]
altitude_data_c... | 0.223716 | 0.463869 |
# Python imports
from __future__ import print_function
import argparse
import distutils.spawn
import os
import subprocess
import sys
# Parse arguments
parser = argparse.ArgumentParser(description=__doc__.strip())
parser.add_argument('--builddir',
help=('Build directory. If not specified, it is dete... | sphinx/make.py | # Python imports
from __future__ import print_function
import argparse
import distutils.spawn
import os
import subprocess
import sys
# Parse arguments
parser = argparse.ArgumentParser(description=__doc__.strip())
parser.add_argument('--builddir',
help=('Build directory. If not specified, it is dete... | 0.490968 | 0.073563 |
import os
from hstest.exceptions import WrongAnswerException
from hstest.exceptions import ExceptionWithFeedback
from hstest.exceptions import SyntaxException
from hstest.exceptions import TimeLimitException
from hstest.exceptions import FatalErrorException
from hstest.utils import get_stacktrace, get_report
from hstes... | .idea/VirtualEnvironment/Lib/site-packages/hstest/outcomes.py | import os
from hstest.exceptions import WrongAnswerException
from hstest.exceptions import ExceptionWithFeedback
from hstest.exceptions import SyntaxException
from hstest.exceptions import TimeLimitException
from hstest.exceptions import FatalErrorException
from hstest.utils import get_stacktrace, get_report
from hstes... | 0.52342 | 0.194712 |
import base64
from datetime import datetime, timedelta
import jwt
import requests
class LoginService:
"""
This class is meant to be whole static to simulate singleton
It is collection of functions for login handling
"""
access_route = "https://auth.fit.cvut.cz/oauth/oauth/token"
check_route ... | octoprint_dashboard/services/loginService.py | import base64
from datetime import datetime, timedelta
import jwt
import requests
class LoginService:
"""
This class is meant to be whole static to simulate singleton
It is collection of functions for login handling
"""
access_route = "https://auth.fit.cvut.cz/oauth/oauth/token"
check_route ... | 0.622574 | 0.182134 |
import numpy as np
import os
from ..molecules import Protein
def gen_tripeptides(protein=None, gaussian=True, header=None, save_pdb=True,
folder=None, main_base='6-311+G(2d,p)', minor_base='3-21G'):
"""
protein : str
path to pdb file
gaussian : bool
If True a gaussian j... | bomeba0/external/gaussian.py | import numpy as np
import os
from ..molecules import Protein
def gen_tripeptides(protein=None, gaussian=True, header=None, save_pdb=True,
folder=None, main_base='6-311+G(2d,p)', minor_base='3-21G'):
"""
protein : str
path to pdb file
gaussian : bool
If True a gaussian j... | 0.501953 | 0.218941 |
class CircularQueue:
def __init__(self, k: int):
self.queue = [0] * k # initialize list with size `k`(`max_size`).
self.size = 0 # number of elements present in the queue.
self.max_size = k
self.front = self.rear = -1
def enqueue(self, value: int) -> bool:
if self.is... | algorithms/data_structures/queue/problems/design_circular_queue.py |
class CircularQueue:
def __init__(self, k: int):
self.queue = [0] * k # initialize list with size `k`(`max_size`).
self.size = 0 # number of elements present in the queue.
self.max_size = k
self.front = self.rear = -1
def enqueue(self, value: int) -> bool:
if self.is... | 0.781997 | 0.461441 |
import requests
from time import sleep
from random import seed
from random import randint
url = "https://api.telegram.org/bot780148416:AAF7vAzAs7kHR5jmHA6ANsP3ZL5KnAWettU/"
def get_updates_json(request):
response = requests.get(request + 'getUpdates')
return response.json()
def last_update(data)... | app.py | import requests
from time import sleep
from random import seed
from random import randint
url = "https://api.telegram.org/bot780148416:AAF7vAzAs7kHR5jmHA6ANsP3ZL5KnAWettU/"
def get_updates_json(request):
response = requests.get(request + 'getUpdates')
return response.json()
def last_update(data)... | 0.08629 | 0.050424 |
import warnings
import numpy as np
import tensorflow as tf
from keras import backend as K
from sklearn.metrics import confusion_matrix
def dice_multiclass(smooth=0, ignore_background=0, n_classes=26):
"""DICE coefficient for multiclass classification for integer inputs (not one-hot-encoded).
Computes the DI... | src/generalutils/metrics.py | import warnings
import numpy as np
import tensorflow as tf
from keras import backend as K
from sklearn.metrics import confusion_matrix
def dice_multiclass(smooth=0, ignore_background=0, n_classes=26):
"""DICE coefficient for multiclass classification for integer inputs (not one-hot-encoded).
Computes the DI... | 0.943582 | 0.726098 |
from ESNtools import *
from pandas import DataFrame, concat
from sklearn.metrics import mean_squared_error, f1_score
from sklearn.preprocessing import MinMaxScaler
dataset = np.load("Datasets/dataset_A_normal_subs_sepsis_late.npy")
# features = dataset[:-6, :-3]
# labels = dataset[6:, :-3]
def timeseries_to_supervis... | Rui/test_network_predictions.py | from ESNtools import *
from pandas import DataFrame, concat
from sklearn.metrics import mean_squared_error, f1_score
from sklearn.preprocessing import MinMaxScaler
dataset = np.load("Datasets/dataset_A_normal_subs_sepsis_late.npy")
# features = dataset[:-6, :-3]
# labels = dataset[6:, :-3]
def timeseries_to_supervis... | 0.572723 | 0.505493 |
import cloudinary.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
mig... | awards/migrations/0001_initial.py |
import cloudinary.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
mig... | 0.524882 | 0.101367 |
import ns_nested_sampling_ray as ns
import numpy as np
from contextlib import contextmanager
import os
import sys
from input_deck import inputs
import multiprocessing
import ns_data_modules as dm
# the input deck : specify these input parameters
import ns_show_results as sr
def driver(c,suppress_output=False):
che... | ns_main_sampling.py | import ns_nested_sampling_ray as ns
import numpy as np
from contextlib import contextmanager
import os
import sys
from input_deck import inputs
import multiprocessing
import ns_data_modules as dm
# the input deck : specify these input parameters
import ns_show_results as sr
def driver(c,suppress_output=False):
che... | 0.277375 | 0.271053 |
from threading import Thread
import socket
class Listener(Thread):
def __init__ (self, my_color, queue_receiver, queue_sender, ips, my_ip, socket):
Thread.__init__(self)
self.my_ip = my_ip
self.port = 5001
self.queue_receiver = queue_receiver
self.queue_sender = queue_sende... | Peer/listener.py | from threading import Thread
import socket
class Listener(Thread):
def __init__ (self, my_color, queue_receiver, queue_sender, ips, my_ip, socket):
Thread.__init__(self)
self.my_ip = my_ip
self.port = 5001
self.queue_receiver = queue_receiver
self.queue_sender = queue_sende... | 0.252753 | 0.129568 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
"""
The vyos logging_global fact class
It is in this file the configuration is collected from the device
for a given resource, parsed, and the facts tree is populated
based on the configuration.
"""
from ansible.module_utils.six i... | venv/lib/python3.6/site-packages/ansible_collections/vyos/vyos/plugins/module_utils/network/vyos/facts/logging_global/logging_global.py |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
"""
The vyos logging_global fact class
It is in this file the configuration is collected from the device
for a given resource, parsed, and the facts tree is populated
based on the configuration.
"""
from ansible.module_utils.six i... | 0.701406 | 0.171442 |
import os
import argparse
import pandas as pd
import numpy as np
from modelmodel.behave import behave
from modelmodel.hrf import double_gamma as dg
from modelmodel.dm import convolve_hrf
parser = argparse.ArgumentParser(
description="Create a table of simulated behave data",
formatter_class=argparse.A... | bin/behave.py | import os
import argparse
import pandas as pd
import numpy as np
from modelmodel.behave import behave
from modelmodel.hrf import double_gamma as dg
from modelmodel.dm import convolve_hrf
parser = argparse.ArgumentParser(
description="Create a table of simulated behave data",
formatter_class=argparse.A... | 0.462959 | 0.147494 |
import argparse
import copy
import os
import sys
import time
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(parent_dir)
from taiyaki.taiyaki import Taiyaki
def run(taiyaki, query):
cp_list = taiyaki.commonPrefixSearch(query)
print('Common prefixes: {}'.format(cp_list... | examples/run_tokenizer.py | import argparse
import copy
import os
import sys
import time
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(parent_dir)
from taiyaki.taiyaki import Taiyaki
def run(taiyaki, query):
cp_list = taiyaki.commonPrefixSearch(query)
print('Common prefixes: {}'.format(cp_list... | 0.201813 | 0.088151 |
import logging
from vindauga.constants.buttons import bfDefault, bfNormal
from vindauga.constants.command_codes import cmSave, cmSaveAs, cmCut, cmCopy, cmPaste, cmClear, cmUndo, wnNoNumber, \
cmCancel
from vindauga.constants.command_codes import cmOpen, cmNew, cmTile, cmCascade, cmOK, hcNoContext, cmQuit, cmResize... | examples/editor-app.py | import logging
from vindauga.constants.buttons import bfDefault, bfNormal
from vindauga.constants.command_codes import cmSave, cmSaveAs, cmCut, cmCopy, cmPaste, cmClear, cmUndo, wnNoNumber, \
cmCancel
from vindauga.constants.command_codes import cmOpen, cmNew, cmTile, cmCascade, cmOK, hcNoContext, cmQuit, cmResize... | 0.366023 | 0.070496 |
import json
import logging
import operator
import os
import sys
import webbrowser
from enum import Enum
from enum import unique
from typing import Optional
import click
import click_spinner
from tabulate import tabulate
from taurus_datajob_api import DataJobExecution
from taurus_datajob_api import DataJobExecutionLogs... | projects/vdk-control-cli/src/vdk/internal/control/command_groups/job/execute.py | import json
import logging
import operator
import os
import sys
import webbrowser
from enum import Enum
from enum import unique
from typing import Optional
import click
import click_spinner
from tabulate import tabulate
from taurus_datajob_api import DataJobExecution
from taurus_datajob_api import DataJobExecutionLogs... | 0.505615 | 0.093761 |
import json
import time
from typing import Dict, List
from redis import Redis
from spire.journal import models as journal_models
from spire.humbug import models as humbug_models
from spire.humbug.data import HumbugCreateReportTask
from sqlalchemy.orm.session import Session
from sqlalchemy.orm import aliased
from spire... | drones/humbug_reports.py | import json
import time
from typing import Dict, List
from redis import Redis
from spire.journal import models as journal_models
from spire.humbug import models as humbug_models
from spire.humbug.data import HumbugCreateReportTask
from sqlalchemy.orm.session import Session
from sqlalchemy.orm import aliased
from spire... | 0.460046 | 0.102439 |
import re
import os
import time
import warnings
import PIL.Image
from concurrent.futures import ThreadPoolExecutor
from .exceptions import ImageDownloadError
from .session import SessionMgr
from .utils import ensure_file_dir_exists
HERE = os.path.abspath(os.path.dirname(__file__))
PROJECT_HOME = os.path.abspath(os.p... | onepiece/image.py | import re
import os
import time
import warnings
import PIL.Image
from concurrent.futures import ThreadPoolExecutor
from .exceptions import ImageDownloadError
from .session import SessionMgr
from .utils import ensure_file_dir_exists
HERE = os.path.abspath(os.path.dirname(__file__))
PROJECT_HOME = os.path.abspath(os.p... | 0.312895 | 0.070368 |
import rospy
from rospy.exceptions import ROSException
from std_msgs.msg import Empty, String
from std_srvs.srv import Empty as EmptySrv
from std_srvs.srv import EmptyResponse as EmptySrvResponse
class SignalBridgeNode(object):
def __init__(self):
self.name = rospy.get_name()
# init publishers, ... | scripts/signal_bridge_node.py | import rospy
from rospy.exceptions import ROSException
from std_msgs.msg import Empty, String
from std_srvs.srv import Empty as EmptySrv
from std_srvs.srv import EmptyResponse as EmptySrvResponse
class SignalBridgeNode(object):
def __init__(self):
self.name = rospy.get_name()
# init publishers, ... | 0.475362 | 0.099645 |
import os
import pytest
import numpy as np
from xarray import DataArray
from typing import Mapping
from fv3gfs.util import Quantity
from emulation._monitor.monitor import (
StorageHook,
_bool_from_str,
_load_nml,
_get_timestep,
_remove_io_suffix,
_get_attrs,
_convert_to_quantities,
_co... | external/emulation/tests/test_zc_emu_monitor.py | import os
import pytest
import numpy as np
from xarray import DataArray
from typing import Mapping
from fv3gfs.util import Quantity
from emulation._monitor.monitor import (
StorageHook,
_bool_from_str,
_load_nml,
_get_timestep,
_remove_io_suffix,
_get_attrs,
_convert_to_quantities,
_co... | 0.727685 | 0.575081 |
import unittest
from mock_decorators.dict_mock import DictMock
from tests.mock_decorators import module_test
class TestDictMock(unittest.TestCase):
def test_dict_mock_ok(self):
changed_result = 20
old_value = module_test.a_dict['value_a']
old_value_hardcoded = 22
@DictMock(module_... | tests/mock_decorators/test_dict_mock.py | import unittest
from mock_decorators.dict_mock import DictMock
from tests.mock_decorators import module_test
class TestDictMock(unittest.TestCase):
def test_dict_mock_ok(self):
changed_result = 20
old_value = module_test.a_dict['value_a']
old_value_hardcoded = 22
@DictMock(module_... | 0.628749 | 0.45647 |
import os
from os import environ
import random
import config
import dbworker
import datetime
import requests
import urllib.request
import subprocess
import telebot
from telebot.types import Message
bot = telebot.TeleBot(config.TOKEN)
#BOT_TOKEN = '...'
# bot = telebot.TeleBot(environ['BOT_TOKEN'])
@bot.message_ha... | Alice/scripts/bot.py | import os
from os import environ
import random
import config
import dbworker
import datetime
import requests
import urllib.request
import subprocess
import telebot
from telebot.types import Message
bot = telebot.TeleBot(config.TOKEN)
#BOT_TOKEN = '...'
# bot = telebot.TeleBot(environ['BOT_TOKEN'])
@bot.message_ha... | 0.271541 | 0.055797 |
import os
import json
import click
from os import mkdir
from numpy import inf
from glob import glob
from shutil import rmtree
from os.path import join, isdir, abspath
from .common import success, status, error, warn, setup_spark
from .. import load, convert
@click.argument('output', nargs=1, metavar='<output directory... | mesoscope/commands/convert.py | import os
import json
import click
from os import mkdir
from numpy import inf
from glob import glob
from shutil import rmtree
from os.path import join, isdir, abspath
from .common import success, status, error, warn, setup_spark
from .. import load, convert
@click.argument('output', nargs=1, metavar='<output directory... | 0.216674 | 0.112162 |
import setpath
import functions
import json
registered=True
'''
Highcharts.chart('container', {
chart: { type: 'bubble', plotBorderWidth: 1, zoomType: 'xy' },
title: { text: 'Highcharts bubbles with radial gradient fill' },
xAxis: { gridLineWidth: 1 },
yAxis: { startOnTick: false, endOnTick: false },
... | Exareme-Docker/src/exareme/exareme-tools/madis/src/functionslocal/vtable/highchartbubble.py | import setpath
import functions
import json
registered=True
'''
Highcharts.chart('container', {
chart: { type: 'bubble', plotBorderWidth: 1, zoomType: 'xy' },
title: { text: 'Highcharts bubbles with radial gradient fill' },
xAxis: { gridLineWidth: 1 },
yAxis: { startOnTick: false, endOnTick: false },
... | 0.207054 | 0.39321 |