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 selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.firefox.options import Options
from time import time, sleep
import re
import requests
import os
impo... | pokedex_scraper.py | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.firefox.options import Options
from time import time, sleep
import re
import requests
import os
impo... | 0.247078 | 0.097777 |
import numpy as np
import pandas as pd
pd.options.mode.chained_assignment = None
import time
from sklearn.externals import joblib
from sklearn.model_selection import StratifiedKFold, GridSearchCV, train_test_split
from sklearn.metrics import roc_auc_score, average_precision_score, make_scorer
from sklearn import linear... | model_selection.py | import numpy as np
import pandas as pd
pd.options.mode.chained_assignment = None
import time
from sklearn.externals import joblib
from sklearn.model_selection import StratifiedKFold, GridSearchCV, train_test_split
from sklearn.metrics import roc_auc_score, average_precision_score, make_scorer
from sklearn import linear... | 0.451568 | 0.259321 |
# %% import libraries
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.linear_m... | Project_Source_Code_Kutay_Erkan.py |
# %% import libraries
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.linear_m... | 0.61878 | 0.367753 |
import datetime
import math
import pytest
import pytz
from mer.constants import mars_year_0_start, sols_per_martian_year
from mer.retimers import EarthDateTime, MarsYearSol, MarsYearSolarLongitude, \
datetime_to_earthdatetime, sols_after_mars_year_0, sols_between_datetimes, \
sols_since_datetime
class TestEar... | mer/tests/test_retimers.py | import datetime
import math
import pytest
import pytz
from mer.constants import mars_year_0_start, sols_per_martian_year
from mer.retimers import EarthDateTime, MarsYearSol, MarsYearSolarLongitude, \
datetime_to_earthdatetime, sols_after_mars_year_0, sols_between_datetimes, \
sols_since_datetime
class TestEar... | 0.668339 | 0.742655 |
import os
import json
from datetime import datetime
import requests
from .utils import execute
STATUS_COPYRIGHTED = 0
STATUS_UNCOPYRIGHTED = 1
STATUS_UNDETECTED = 2
STATUS_WORKING = 3
OVERALL_WORKING = 3
OVERALL_HAS_COPYRIGHTED = 0
OVERALL_ALL_UNDETECTED = 2
OVERALL_UNDETECTED_UNCOPYRIGHTED = 1
# ===============... | common/services.py |
import os
import json
from datetime import datetime
import requests
from .utils import execute
STATUS_COPYRIGHTED = 0
STATUS_UNCOPYRIGHTED = 1
STATUS_UNDETECTED = 2
STATUS_WORKING = 3
OVERALL_WORKING = 3
OVERALL_HAS_COPYRIGHTED = 0
OVERALL_ALL_UNDETECTED = 2
OVERALL_UNDETECTED_UNCOPYRIGHTED = 1
# ===============... | 0.314787 | 0.050377 |
"""jquery-autocomplete-light widget implementation module."""
from __future__ import unicode_literals
from django import forms
try:
from django.urls import resolve
except ImportError:
from django.core.urlresolvers import resolve
from django.template.loader import render_to_string
from django.utils import safes... | src/dal_jal/widgets.py | """jquery-autocomplete-light widget implementation module."""
from __future__ import unicode_literals
from django import forms
try:
from django.urls import resolve
except ImportError:
from django.core.urlresolvers import resolve
from django.template.loader import render_to_string
from django.utils import safes... | 0.776369 | 0.115961 |
from keras import Input, Model, Sequential
from keras.layers import Flatten, Conv2D, Concatenate, Dense, Activation, concatenate
from keras.optimizers import Adam, SGD
from rl.agents import CEMAgent
from rl.memory import SequentialMemory, EpisodeParameterMemory
from hexagon_agent import *
from random import shuffle
fr... | ppo_centaur_ai_gym.py | from keras import Input, Model, Sequential
from keras.layers import Flatten, Conv2D, Concatenate, Dense, Activation, concatenate
from keras.optimizers import Adam, SGD
from rl.agents import CEMAgent
from rl.memory import SequentialMemory, EpisodeParameterMemory
from hexagon_agent import *
from random import shuffle
fr... | 0.737442 | 0.275687 |
__author__ = 'pieroit'
from DatabaseHulk import DatabaseHulk
import collections
def parseLine(line):
# take away newline and split by tab
return line.rstrip('\r\n').split('\t')
# make dictionary out of the list of names and their values
# order must be the same
def buildRecordObj(cols, vals):
newObj = {}... | import2sql.py | __author__ = 'pieroit'
from DatabaseHulk import DatabaseHulk
import collections
def parseLine(line):
# take away newline and split by tab
return line.rstrip('\r\n').split('\t')
# make dictionary out of the list of names and their values
# order must be the same
def buildRecordObj(cols, vals):
newObj = {}... | 0.282097 | 0.130812 |
from sciibo.core.colors import *
# Define our color pairs
BACKGROUND = create_color(CYAN, BLUE)
# Logos
LOGO = create_color(CYAN, BLUE)
LOGO_SHADOW = create_color(BLACK, BLUE)
LOGO_TEXT = create_color(YELLOW, YELLOW)
LOGO_TEXT_SLIDER = create_color(YELLOW, WHITE)
# Menus
MENU = create_color(CYAN, BLUE)
MENU_TEXT =... | sciibo/graphics/colors.py | from sciibo.core.colors import *
# Define our color pairs
BACKGROUND = create_color(CYAN, BLUE)
# Logos
LOGO = create_color(CYAN, BLUE)
LOGO_SHADOW = create_color(BLACK, BLUE)
LOGO_TEXT = create_color(YELLOW, YELLOW)
LOGO_TEXT_SLIDER = create_color(YELLOW, WHITE)
# Menus
MENU = create_color(CYAN, BLUE)
MENU_TEXT =... | 0.404625 | 0.097907 |
import optparse, os, shutil, subprocess, sys, tempfile
def stop_err( msg ):
sys.stderr.write( '%s\n' % msg )
sys.exit()
def run_process ( cmd, name, tmp_dir, buffsize ):
try:
tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
tmp_stderr = open( tmp, 'wb' )
proc = subprocess.Pope... | DWGSIMSrc/scripts/galaxy/dwgsim_eval_wrapper.py | import optparse, os, shutil, subprocess, sys, tempfile
def stop_err( msg ):
sys.stderr.write( '%s\n' % msg )
sys.exit()
def run_process ( cmd, name, tmp_dir, buffsize ):
try:
tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
tmp_stderr = open( tmp, 'wb' )
proc = subprocess.Pope... | 0.134804 | 0.079854 |
import secrets, os, bcrypt, subprocess, json, math, shutil
from decouple import config
passwords_dir = 'web/.passwords'
# Directory for display templates (not Flask templates)
templates_dir = 'templates'
services_config_path = 'cache/services.json'
env_file = '.env'
def generate_secret():
secret = secrets.toke... | web/utilities.py | import secrets, os, bcrypt, subprocess, json, math, shutil
from decouple import config
passwords_dir = 'web/.passwords'
# Directory for display templates (not Flask templates)
templates_dir = 'templates'
services_config_path = 'cache/services.json'
env_file = '.env'
def generate_secret():
secret = secrets.toke... | 0.424054 | 0.092811 |
from rest_framework import status
from core.entity.user import User, UserSet
from core.entity.entity_exceptions import EntityNotFoundException
from core.entity.entry_points.authorizations import AuthorizationModule
from ..base_view_test import BaseViewTest
from .synchronization_client import SynchronizationClient
c... | corefacility/core/test/views/synchronization_test/test_synchronization.py | from rest_framework import status
from core.entity.user import User, UserSet
from core.entity.entity_exceptions import EntityNotFoundException
from core.entity.entry_points.authorizations import AuthorizationModule
from ..base_view_test import BaseViewTest
from .synchronization_client import SynchronizationClient
c... | 0.746416 | 0.162712 |
import os
import sys
base_dir = os.path.dirname(__file__)
data_dir = os.path.join(base_dir, "resources")
sys.path.extend([os.path.join(base_dir, '../..')])
import unittest
import warnings
import pandas as pd
from enricher.enrich import regulon_utils, regulon_enrichment
warnings.simplefilter("ignore", UserWarning)
d... | enricher/tests/test_regulon.py | import os
import sys
base_dir = os.path.dirname(__file__)
data_dir = os.path.join(base_dir, "resources")
sys.path.extend([os.path.join(base_dir, '../..')])
import unittest
import warnings
import pandas as pd
from enricher.enrich import regulon_utils, regulon_enrichment
warnings.simplefilter("ignore", UserWarning)
d... | 0.233444 | 0.508849 |
from flask import Blueprint, redirect, url_for, render_template, request
from data.models import Person, db
from utils.csv2dict import convert
from constants import attributes as attrs
from datetime import datetime
from os.path import join
main = Blueprint('main', __name__)
langs_dict = {}
convert(langs_dict, csv... | main/controllers.py | from flask import Blueprint, redirect, url_for, render_template, request
from data.models import Person, db
from utils.csv2dict import convert
from constants import attributes as attrs
from datetime import datetime
from os.path import join
main = Blueprint('main', __name__)
langs_dict = {}
convert(langs_dict, csv... | 0.234757 | 0.104021 |
from asyncio import sleep
from logging import getLogger
import aiologstash
from aiologstash import create_tcp_handler
from async_asgi_testclient import TestClient
from pytest import mark, raises
from yellowbox.extras.logstash import FakeLogstashService
from heksher._version import __version__
from heksher.main import... | tests/blackbox/app/test_startup.py | from asyncio import sleep
from logging import getLogger
import aiologstash
from aiologstash import create_tcp_handler
from async_asgi_testclient import TestClient
from pytest import mark, raises
from yellowbox.extras.logstash import FakeLogstashService
from heksher._version import __version__
from heksher.main import... | 0.403332 | 0.111338 |
import asyncio
import typing as t
from dataclasses import asdict, dataclass, field
from datetime import datetime, timedelta
import discord
from discord.ext import commands
from bot import ModmailBot
from core import checks
from core.models import PermissionLevel, getLogger
from core.thread import Thread
from .utils i... | ping_manager/ping_manager.py | import asyncio
import typing as t
from dataclasses import asdict, dataclass, field
from datetime import datetime, timedelta
import discord
from discord.ext import commands
from bot import ModmailBot
from core import checks
from core.models import PermissionLevel, getLogger
from core.thread import Thread
from .utils i... | 0.715424 | 0.15925 |
import FWCore.ParameterSet.Config as cms
ecal_pulse_shape_templates = cms.PSet(
EBPulseShapeTemplate = cms.vdouble (
1.13979e-02, 7.58151e-01, 1.00000e+00, 8.87744e-01, 6.73548e-01, 4.74332e-01, 3.19561e-01, 2.15144e-01, 1.47464e-01, 1.01087e-01, 6.93181e-02, 4.75044e-02
) ,
EEPulseShapeTemplat... | RecoLocalCalo/EcalRecProducers/python/ecalPulseShapeParameters_cff.py | import FWCore.ParameterSet.Config as cms
ecal_pulse_shape_templates = cms.PSet(
EBPulseShapeTemplate = cms.vdouble (
1.13979e-02, 7.58151e-01, 1.00000e+00, 8.87744e-01, 6.73548e-01, 4.74332e-01, 3.19561e-01, 2.15144e-01, 1.47464e-01, 1.01087e-01, 6.93181e-02, 4.75044e-02
) ,
EEPulseShapeTemplat... | 0.169887 | 0.475544 |
import cv2
import time
import numpy as np
MODE = "BODY25"
if MODE is "COCO":
protoFile = "C:/Users/romanrosh/openpose-1.4.0-win64-gpu-binaries/models/pose/coco/pose_deploy_linevec.prototxt"
weightsFile = "C:/Users/romanrosh/openpose-1.4.0-win64-gpu-binaries/models/pose/coco/pose_iter_440000.caffemodel"
nP... | OpenPoseImage.py | import cv2
import time
import numpy as np
MODE = "BODY25"
if MODE is "COCO":
protoFile = "C:/Users/romanrosh/openpose-1.4.0-win64-gpu-binaries/models/pose/coco/pose_deploy_linevec.prototxt"
weightsFile = "C:/Users/romanrosh/openpose-1.4.0-win64-gpu-binaries/models/pose/coco/pose_iter_440000.caffemodel"
nP... | 0.289472 | 0.335895 |
from .base_endpoint import BaseEndpoint
# The base CheckIns endpoint
class CheckInsEndpoint(BaseEndpoint): pass
# All CheckIns endpoints
class CheckIns(CheckInsEndpoint):
"""An attendance record for an event.
If someone was checked out, `checked_out_at` will be present.
You can scope check-ins in a few ways:
... | pypco/endpoints/check_ins.py |
from .base_endpoint import BaseEndpoint
# The base CheckIns endpoint
class CheckInsEndpoint(BaseEndpoint): pass
# All CheckIns endpoints
class CheckIns(CheckInsEndpoint):
"""An attendance record for an event.
If someone was checked out, `checked_out_at` will be present.
You can scope check-ins in a few ways:
... | 0.742328 | 0.480357 |
from __future__ import absolute_import, division
import bcrypt
import flask.ext.testing
import functools
import hashlib
import inspect
import os
import shutil
import tempfile
from . import create_app
from . import settings
from .model import db
from .site import Site
def create_tempdir():
d = tempfile.mkdtemp(... | src/marv/marv/testing.py |
from __future__ import absolute_import, division
import bcrypt
import flask.ext.testing
import functools
import hashlib
import inspect
import os
import shutil
import tempfile
from . import create_app
from . import settings
from .model import db
from .site import Site
def create_tempdir():
d = tempfile.mkdtemp(... | 0.466846 | 0.081082 |
from pyglet import event
from pyglet.gl import glClearColor, GL_TRIANGLES
from pyglet.window import key, Window
from pyglet.shapes import Rectangle
from pyglet.text import Label, caret
from pyglet.text.document import FormattedDocument
from pyglet.text.layout import IncrementalTextLayout, ScrollableTextLayout
from sett... | gui.py | from pyglet import event
from pyglet.gl import glClearColor, GL_TRIANGLES
from pyglet.window import key, Window
from pyglet.shapes import Rectangle
from pyglet.text import Label, caret
from pyglet.text.document import FormattedDocument
from pyglet.text.layout import IncrementalTextLayout, ScrollableTextLayout
from sett... | 0.265785 | 0.155271 |
import os
from math import exp
from parsable import parsable
import pomagma.util
import util
SPECS = {}
SPECS['sk'] = {
'binary_probs': {
'APP': 0.374992,
'COMP': 0.198589,
},
'nullary_weights': {
'B': 1.0,
'C': 1.30428,
'CB': 1.35451,
'CI': 1.74145,
... | src/language/bootstrap.py | import os
from math import exp
from parsable import parsable
import pomagma.util
import util
SPECS = {}
SPECS['sk'] = {
'binary_probs': {
'APP': 0.374992,
'COMP': 0.198589,
},
'nullary_weights': {
'B': 1.0,
'C': 1.30428,
'CB': 1.35451,
'CI': 1.74145,
... | 0.397354 | 0.25799 |
import pandas as pd
def read_csv(path=str, sep=';'):
"""
Leer un archivo csv y los transforma a un dataframe
:param path: dirección del archivo csv
:param sep: separador del archvio
:return: dataframe
"""
# Leemos el archivo con la funcioón read_csv()
df = pd.read_csv(path, sep=sep)
... | discover/features/build_features.py | import pandas as pd
def read_csv(path=str, sep=';'):
"""
Leer un archivo csv y los transforma a un dataframe
:param path: dirección del archivo csv
:param sep: separador del archvio
:return: dataframe
"""
# Leemos el archivo con la funcioón read_csv()
df = pd.read_csv(path, sep=sep)
... | 0.561575 | 0.603435 |
import cherrypy
import re, json
from flask_restful import reqparse, abort, Api, Resource
class OptionsController(Resource):
def __init__(self):
print("starting Options Controller")
def OPTIONS(self, *args, **kargs):
return ""
class CardsController(Resource):
def __init__(self, cdb... | server/controller.py | import cherrypy
import re, json
from flask_restful import reqparse, abort, Api, Resource
class OptionsController(Resource):
def __init__(self):
print("starting Options Controller")
def OPTIONS(self, *args, **kargs):
return ""
class CardsController(Resource):
def __init__(self, cdb... | 0.220678 | 0.067731 |
# Copyright (c) 2016-2020, <NAME>
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the fo... | src/sharp/functions/repeat.py | # Copyright (c) 2016-2020, <NAME>
# All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions and the fo... | 0.661486 | 0.059757 |
import os
import sys
import copy
import pytz
import datetime
import traceback
import numpy as np
from django.conf import settings
from django.core import management
from django.core.management.base import BaseCommand, CommandError
from django.db.models import Q
from dining_room import constants
from dining_room.mod... | website/management/commands/sync_suggestions.py |
import os
import sys
import copy
import pytz
import datetime
import traceback
import numpy as np
from django.conf import settings
from django.core import management
from django.core.management.base import BaseCommand, CommandError
from django.db.models import Q
from dining_room import constants
from dining_room.mod... | 0.495361 | 0.282332 |
import discord
class Bot(discord.Client):
def __init__(self, guild_name, channel_id, logger=None, **kwargs):
"""
Bot for use with a single Discord Guild and Text Channel
:param guild_name: The name of the Discord Guild to join
:type guild_name: string
:param channel_id: T... | chuckle_bot/single_channel_bot.py | import discord
class Bot(discord.Client):
def __init__(self, guild_name, channel_id, logger=None, **kwargs):
"""
Bot for use with a single Discord Guild and Text Channel
:param guild_name: The name of the Discord Guild to join
:type guild_name: string
:param channel_id: T... | 0.662251 | 0.093969 |
import argparse
import os.path
import sys
sys.path.append(os.path.dirname(__file__))
from signing import notarize
from signing.config import CodeSignConfig
def main():
parser = argparse.ArgumentParser(
description='Notarize and staple an application binary or archive.')
parser.add_argument(
... | chrome/installer/mac/notarize_thing.py |
import argparse
import os.path
import sys
sys.path.append(os.path.dirname(__file__))
from signing import notarize
from signing.config import CodeSignConfig
def main():
parser = argparse.ArgumentParser(
description='Notarize and staple an application binary or archive.')
parser.add_argument(
... | 0.466846 | 0.06666 |
import hashlib
import json
import numpy as np
from .utils import FeatureData
class CMSRecordTest0(FeatureData):
def __init__(self, data: ('CMSDataPopularity', dict) = {}):
super(CMSRecordTest0, self).__init__()
self.__tot_wrap_cpu = 0.0
self.__tot_requests = 1
self.__num_next_w... | DataManager/collector/datafeatures/extractor.py | import hashlib
import json
import numpy as np
from .utils import FeatureData
class CMSRecordTest0(FeatureData):
def __init__(self, data: ('CMSDataPopularity', dict) = {}):
super(CMSRecordTest0, self).__init__()
self.__tot_wrap_cpu = 0.0
self.__tot_requests = 1
self.__num_next_w... | 0.532911 | 0.214434 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | build.py |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | 0.870597 | 0.223091 |
class Stack(object):
"""Docstring for Stack """
def __init__(self):
"""@todo: to be defined1 """
self.items = []
def pushFromList(self, list):
"""Push the list in the stack
:param list: a list
"""
for i in list[::-1]:
self.push(i)
def isE... | pymath/generic.py |
class Stack(object):
"""Docstring for Stack """
def __init__(self):
"""@todo: to be defined1 """
self.items = []
def pushFromList(self, list):
"""Push the list in the stack
:param list: a list
"""
for i in list[::-1]:
self.push(i)
def isE... | 0.592549 | 0.499207 |
""" Main menu """
import sys
import os
import datetime
import asyncio
import curses
import npyscreen
from error_handler import error_handler
from main_menu_list import MainMenuList
from widgets.net_interfaces_widget import NetInterfacesWidget
APP_NAME = "{} ASR".format(os.environ.get("APP_NAME", "Speechmatics"))
# p... | main_menu.py |
""" Main menu """
import sys
import os
import datetime
import asyncio
import curses
import npyscreen
from error_handler import error_handler
from main_menu_list import MainMenuList
from widgets.net_interfaces_widget import NetInterfacesWidget
APP_NAME = "{} ASR".format(os.environ.get("APP_NAME", "Speechmatics"))
# p... | 0.393502 | 0.11129 |
from json import loads
from logging import getLogger
from os import environ, path
from typing import Any, Callable, Dict, Final, List, Optional
from fastapi import APIRouter, FastAPI
from fastapi.middleware.cors import CORSMiddleware
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests imp... | stac_fastapi/api/stac_fastapi/api/middleware.py |
from json import loads
from logging import getLogger
from os import environ, path
from typing import Any, Callable, Dict, Final, List, Optional
from fastapi import APIRouter, FastAPI
from fastapi.middleware.cors import CORSMiddleware
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests imp... | 0.876806 | 0.069827 |
import os
from typing import Tuple, Union, Optional
from PIL import Image
from torchvision.datasets import VisionDataset
from torchvision.datasets.folder import is_image_file
from torchvision.transforms import RandomCrop, CenterCrop
from torchvision.transforms.functional import resize
_PIL_IMAGE_MODES_ = ('L', 'F', '... | isr/datasets/isr.py | import os
from typing import Tuple, Union, Optional
from PIL import Image
from torchvision.datasets import VisionDataset
from torchvision.datasets.folder import is_image_file
from torchvision.transforms import RandomCrop, CenterCrop
from torchvision.transforms.functional import resize
_PIL_IMAGE_MODES_ = ('L', 'F', '... | 0.907972 | 0.486149 |
import re
import math
from os import system
import sys
import traceback
def inlst(lst, value, key=lambda x:x):
for i in range(len(lst)):
each = lst[i]
if key(each) == value:
return i
return -1
recipes = {}
def main():
global recipes
... | recipes_calc.py | import re
import math
from os import system
import sys
import traceback
def inlst(lst, value, key=lambda x:x):
for i in range(len(lst)):
each = lst[i]
if key(each) == value:
return i
return -1
recipes = {}
def main():
global recipes
... | 0.039909 | 0.152979 |
import pytest
import mock
# Django REST Framework
from rest_framework import exceptions
from rest_framework.generics import ListAPIView
# Django
from django.core.urlresolvers import RegexURLResolver, RegexURLPattern
# AWX
from awx.main.views import ApiErrorView
from awx.api.views import JobList, InventorySourceList
... | awx/main/tests/unit/test_views.py | import pytest
import mock
# Django REST Framework
from rest_framework import exceptions
from rest_framework.generics import ListAPIView
# Django
from django.core.urlresolvers import RegexURLResolver, RegexURLPattern
# AWX
from awx.main.views import ApiErrorView
from awx.api.views import JobList, InventorySourceList
... | 0.479747 | 0.242351 |
import pygame
import math
pygame.init()
class TowerTutorial(pygame.sprite.Sprite):
def __init__(Self):
Self.image = pygame.image.load("Media/Towers/Machine_Gun/L1 Images/L1_MachineGun0000.tif").convert_alpha()
Self.level = 1
Self.range = 40
Self.damage = 20
Self.visible = ... | TowerTutorial.py | import pygame
import math
pygame.init()
class TowerTutorial(pygame.sprite.Sprite):
def __init__(Self):
Self.image = pygame.image.load("Media/Towers/Machine_Gun/L1 Images/L1_MachineGun0000.tif").convert_alpha()
Self.level = 1
Self.range = 40
Self.damage = 20
Self.visible = ... | 0.34798 | 0.352146 |
from __future__ import (absolute_import, print_function, unicode_literals)
import math
import os
from colorclass import Color, Windows
from terminaltables import AsciiTable
from acli.utils import get_console_dimensions
try:
input = raw_input
except NameError:
pass
Windows.enable(auto_colors=True, reset_atex... | lib/acli/output/__init__.py | from __future__ import (absolute_import, print_function, unicode_literals)
import math
import os
from colorclass import Color, Windows
from terminaltables import AsciiTable
from acli.utils import get_console_dimensions
try:
input = raw_input
except NameError:
pass
Windows.enable(auto_colors=True, reset_atex... | 0.359814 | 0.132767 |
import ConfigParser
import os
import os.path
from Log import log_main
class VamosLibConfig:
def __init__(self, name, mode='auto', version=0, profile=False, expunge='last_close'):
self.name = name
self.mode = mode
self.version = version
self.profile = profile
self.expunge = expunge
# types of... | dependencies/amitools-0.1.0/amitools/vamos/VamosConfig.py | import ConfigParser
import os
import os.path
from Log import log_main
class VamosLibConfig:
def __init__(self, name, mode='auto', version=0, profile=False, expunge='last_close'):
self.name = name
self.mode = mode
self.version = version
self.profile = profile
self.expunge = expunge
# types of... | 0.26923 | 0.107017 |
from manim import *
from functions import *
import color
class AddingSquares(MovingCameraScene):
def construct(self):
self.camera.background_color = color.BACKGROUND
print('First fibonacci (n value):')
n = int(input())
fibo = fiboarray(2*n+2)
dotGroup1 = VGroup()
f... | addingSquares.py | from manim import *
from functions import *
import color
class AddingSquares(MovingCameraScene):
def construct(self):
self.camera.background_color = color.BACKGROUND
print('First fibonacci (n value):')
n = int(input())
fibo = fiboarray(2*n+2)
dotGroup1 = VGroup()
f... | 0.421314 | 0.277601 |
import multiprocessing as mp
from datetime import datetime, timedelta
import dask.dataframe
import requests
from PIL import ImageFont
import motionshader
if __name__ == '__main__':
# Motionshader expects a time indexed, sorted, Dask DataFrame with columns containing EPSG:4326 coordinates.
# Motionshader is o... | motionshader_categorical_example.py | import multiprocessing as mp
from datetime import datetime, timedelta
import dask.dataframe
import requests
from PIL import ImageFont
import motionshader
if __name__ == '__main__':
# Motionshader expects a time indexed, sorted, Dask DataFrame with columns containing EPSG:4326 coordinates.
# Motionshader is o... | 0.827271 | 0.55646 |
import pandas as pd
import matplotlib.pyplot as plt
# Read data from csv into pandas dataframe
data = pd.read_csv('data.csv')[
['userid', 'From', 'To']]
# Display the first 10 rows of dataframe
print(data.head(10))
# Checking if there are NAN values
print("Presence of NAN values : \n", data.isnull().any())
# Fu... | Task1.py | import pandas as pd
import matplotlib.pyplot as plt
# Read data from csv into pandas dataframe
data = pd.read_csv('data.csv')[
['userid', 'From', 'To']]
# Display the first 10 rows of dataframe
print(data.head(10))
# Checking if there are NAN values
print("Presence of NAN values : \n", data.isnull().any())
# Fu... | 0.603231 | 0.597725 |
import requests
import json
convert = "USD"
listing_url = "https://api.coinmarketcap.com/v2/listings/"
url_end = "?structure=array&convert=" + convert
request = requests.get(listing_url)
results = request.json()
data = results["data"]
ticker_url_pairs = {}
for currency in data:
symbol = currency... | API/coincap_specific.py | import requests
import json
convert = "USD"
listing_url = "https://api.coinmarketcap.com/v2/listings/"
url_end = "?structure=array&convert=" + convert
request = requests.get(listing_url)
results = request.json()
data = results["data"]
ticker_url_pairs = {}
for currency in data:
symbol = currency... | 0.117408 | 0.144964 |
import os
import pytest
import tests
from just_bin_it.endpoints.sources import HistogramSource
from tests.doubles.consumer import StubConsumer
INVALID_FB = b"this is an invalid fb message"
class TestHistogramSource:
@pytest.fixture(autouse=True)
def prepare(self):
# Trick to get path of test data
... | tests/test_histogram_source.py | import os
import pytest
import tests
from just_bin_it.endpoints.sources import HistogramSource
from tests.doubles.consumer import StubConsumer
INVALID_FB = b"this is an invalid fb message"
class TestHistogramSource:
@pytest.fixture(autouse=True)
def prepare(self):
# Trick to get path of test data
... | 0.367384 | 0.445469 |
from panda3d.core import Point3
from panda3d.core import Vec3
from wecs.aspects import Aspect
from wecs.aspects import factory
from wecs import panda3d
from wecs import mechanics
from wecs import cefconsole
from wecs.panda3d import aspects
# Each frame, run these systems. This defines the game itself.
system_types =... | examples/panda3d-character-controller/game.py | from panda3d.core import Point3
from panda3d.core import Vec3
from wecs.aspects import Aspect
from wecs.aspects import factory
from wecs import panda3d
from wecs import mechanics
from wecs import cefconsole
from wecs.panda3d import aspects
# Each frame, run these systems. This defines the game itself.
system_types =... | 0.739422 | 0.443299 |
import contextlib
import urllib.parse
from typing import TYPE_CHECKING, cast
import flask
import peewee
import werkzeug.datastructures
import werkzeug.exceptions
if TYPE_CHECKING:
from typing import Any, Callable, List, Optional, Union
from jinja2 import Environment
from peewee import Model
from werk... | flask_datatables/utils.py | import contextlib
import urllib.parse
from typing import TYPE_CHECKING, cast
import flask
import peewee
import werkzeug.datastructures
import werkzeug.exceptions
if TYPE_CHECKING:
from typing import Any, Callable, List, Optional, Union
from jinja2 import Environment
from peewee import Model
from werk... | 0.834441 | 0.392075 |
import os
import sys
import logging
import redis
# 项目根目录
BASE_DIR = os.path.dirname(__file__)
"""
自添加USER_AGENT请按照已有数据的格式来添加
"""
USER_AGENT = [
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.835.163 Safari/535.1',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:6.0) Gecko/201... | video/utils/proxy/config.py |
import os
import sys
import logging
import redis
# 项目根目录
BASE_DIR = os.path.dirname(__file__)
"""
自添加USER_AGENT请按照已有数据的格式来添加
"""
USER_AGENT = [
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.835.163 Safari/535.1',
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:6.0) Gecko/201... | 0.311636 | 0.058373 |
import jsonschema
from jsonschema.exceptions import ValidationError
from kuryr_libnetwork import schemata
from kuryr_libnetwork.schemata import commons
from kuryr_libnetwork.tests.unit import base
class TestKuryrSchema(base.TestKuryrBase):
"""Unit tests for Kuryr schema."""
def test_network_id_64_len(self)... | kuryr_libnetwork/tests/unit/test_schema.py |
import jsonschema
from jsonschema.exceptions import ValidationError
from kuryr_libnetwork import schemata
from kuryr_libnetwork.schemata import commons
from kuryr_libnetwork.tests.unit import base
class TestKuryrSchema(base.TestKuryrBase):
"""Unit tests for Kuryr schema."""
def test_network_id_64_len(self)... | 0.6137 | 0.162579 |
import json
import logging
from functools import wraps
import botocore
from decouple import config
import lpipe.contrib.boto3
from lpipe import utils
from lpipe.contrib import mindictive
def build(message_data, message_group_id=None):
data = json.dumps(message_data, sort_keys=True)
msg = {"Id": utils.hash(d... | lpipe/contrib/sqs.py | import json
import logging
from functools import wraps
import botocore
from decouple import config
import lpipe.contrib.boto3
from lpipe import utils
from lpipe.contrib import mindictive
def build(message_data, message_group_id=None):
data = json.dumps(message_data, sort_keys=True)
msg = {"Id": utils.hash(d... | 0.569733 | 0.093719 |
import os
import warnings
from unittest import TestCase
import conf
class TestConfg(TestCase):
def test_read_yml(self):
conf.load('test_resources/conf1.yml')
self.assertEqual(conf.get('message'), 'this is yml')
self.assertEqual(conf.message, 'this is yml')
self.assertEqual(conf.re... | tests.py | import os
import warnings
from unittest import TestCase
import conf
class TestConfg(TestCase):
def test_read_yml(self):
conf.load('test_resources/conf1.yml')
self.assertEqual(conf.get('message'), 'this is yml')
self.assertEqual(conf.message, 'this is yml')
self.assertEqual(conf.re... | 0.44553 | 0.354768 |
from django.utils import timezone
from meteo.models import MeteoData
from .api import Weathermanager
class CacheManager:
def __init__(self, insee):
self.insee = insee
def _check_if_data_in_db(self):
current_datetime_aware = timezone.localtime(timezone.now())
current_date_aware = curre... | gardenizer/meteo/utils/meteo_data_manager.py | from django.utils import timezone
from meteo.models import MeteoData
from .api import Weathermanager
class CacheManager:
def __init__(self, insee):
self.insee = insee
def _check_if_data_in_db(self):
current_datetime_aware = timezone.localtime(timezone.now())
current_date_aware = curre... | 0.48438 | 0.27597 |
import argparse
import time
import unicurses as uc
import common
from display import CursesDisplay
from api import SpotifyApi
from state import SpotifyState, Config
logger = common.logging.getLogger(__name__)
def get_args():
"""Parse and return the command line arguments."""
parser = argparse.ArgumentPars... | spotify.py |
import argparse
import time
import unicurses as uc
import common
from display import CursesDisplay
from api import SpotifyApi
from state import SpotifyState, Config
logger = common.logging.getLogger(__name__)
def get_args():
"""Parse and return the command line arguments."""
parser = argparse.ArgumentPars... | 0.611498 | 0.115461 |
from PIL import Image, ImageChops, ImageEnhance, ImageOps
import requests
import os
from flask import Flask, redirect, jsonify, render_template, request, send_file, send_from_directory
import werkzeug
import datetime
import uuid
app = Flask(__name__)
ALLOWED_IMAGE_EXTENSIONS = set(['png', 'jpg', 'jpeg'])
def process... | app.py | from PIL import Image, ImageChops, ImageEnhance, ImageOps
import requests
import os
from flask import Flask, redirect, jsonify, render_template, request, send_file, send_from_directory
import werkzeug
import datetime
import uuid
app = Flask(__name__)
ALLOWED_IMAGE_EXTENSIONS = set(['png', 'jpg', 'jpeg'])
def process... | 0.304559 | 0.201538 |
import pickle
import inspect
import logging
import unittest
import numpy as np
import tensorflow as tf
from neupy import utils, layers, init
from neupy.utils import tensorflow_eval, tensorflow_session, shape_to_tuple
from neupy.layers.base import format_name_if_specified_as_pattern
from helpers import vectors_for_te... | tests/base.py | import pickle
import inspect
import logging
import unittest
import numpy as np
import tensorflow as tf
from neupy import utils, layers, init
from neupy.utils import tensorflow_eval, tensorflow_session, shape_to_tuple
from neupy.layers.base import format_name_if_specified_as_pattern
from helpers import vectors_for_te... | 0.745398 | 0.358241 |
import logging, os
from config import Config
from logging.handlers import SMTPHandler, RotatingFileHandler
from flask import Flask, request
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager
from flask_mail import Mail
from flask_admin import Admin
from flask_... | app/__init__.py | import logging, os
from config import Config
from logging.handlers import SMTPHandler, RotatingFileHandler
from flask import Flask, request
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager
from flask_mail import Mail
from flask_admin import Admin
from flask_... | 0.227041 | 0.035013 |
import re
import locale
import util
def strtr(s, repl):
pattern = '|'.join(map(re.escape, sorted(repl, key=len, reverse=True)))
return re.sub(pattern, lambda m: repl[m.group()], s)
class check:
def __init__(self, conn, message, settings):
self.conn = conn
self.message = message
s... | modules/matCheck.py | import re
import locale
import util
def strtr(s, repl):
pattern = '|'.join(map(re.escape, sorted(repl, key=len, reverse=True)))
return re.sub(pattern, lambda m: repl[m.group()], s)
class check:
def __init__(self, conn, message, settings):
self.conn = conn
self.message = message
s... | 0.15704 | 0.60326 |
import numpy as np
import os
import unittest
from colour import RGB_COLOURSPACES
from colour_hdri import TESTS_RESOURCES_DIRECTORY
from colour_hdri.generation import image_stack_to_radiance_image
from colour_hdri.calibration import camera_response_functions_Debevec1997
from colour_hdri.utilities import ImageStack, fi... | colour_hdri/generation/tests/test_radiance.py | import numpy as np
import os
import unittest
from colour import RGB_COLOURSPACES
from colour_hdri import TESTS_RESOURCES_DIRECTORY
from colour_hdri.generation import image_stack_to_radiance_image
from colour_hdri.calibration import camera_response_functions_Debevec1997
from colour_hdri.utilities import ImageStack, fi... | 0.722625 | 0.267041 |
import torch
import bittensor.utils.weight_utils as weight_utils
import pytest
def test_convert_weight_and_uids():
uids = torch.tensor(list(range(10)))
weights = torch.rand(10)
weight_utils.convert_weights_and_uids_for_emit( uids, weights )
# min weight < 0
weights[5] = -1
with pytest.raises(... | tests/unit_tests/bittensor_tests/utils/test_weight_utils.py | import torch
import bittensor.utils.weight_utils as weight_utils
import pytest
def test_convert_weight_and_uids():
uids = torch.tensor(list(range(10)))
weights = torch.rand(10)
weight_utils.convert_weights_and_uids_for_emit( uids, weights )
# min weight < 0
weights[5] = -1
with pytest.raises(... | 0.758868 | 0.708717 |
import os
import torch
import torch.nn as nn
import torch.utils.data as data
import torch.optim as optim
import torchaudio
from asr.data import TextTransform, get_audio_transforms, data_processing
from asr.models import SpeechRecognitionModel
from asr.train import train
from asr.test import test
from asr.utils import ... | asr/main.py | import os
import torch
import torch.nn as nn
import torch.utils.data as data
import torch.optim as optim
import torchaudio
from asr.data import TextTransform, get_audio_transforms, data_processing
from asr.models import SpeechRecognitionModel
from asr.train import train
from asr.test import test
from asr.utils import ... | 0.786418 | 0.401277 |
import numpy as np
import torch
class ppo:
def __init__(self, model, env):
self.model = model
use_cuda = torch.cuda.is_available()
self.device = torch.device("cuda" if use_cuda else "cpu")
self.env = env
def test_env(self, vis=False):
state = self.env.reset()
i... | Simulation/ppo_method.py | import numpy as np
import torch
class ppo:
def __init__(self, model, env):
self.model = model
use_cuda = torch.cuda.is_available()
self.device = torch.device("cuda" if use_cuda else "cpu")
self.env = env
def test_env(self, vis=False):
state = self.env.reset()
i... | 0.874961 | 0.562237 |
from django.shortcuts import get_object_or_404
from rest_framework import viewsets, status
from rest_framework.response import Response
from rest_framework.decorators import action
from rest_framework.exceptions import ParseError
from users.models import User
from .models import Post, Comment, Like
from .serializers im... | petgram/views.py | from django.shortcuts import get_object_or_404
from rest_framework import viewsets, status
from rest_framework.response import Response
from rest_framework.decorators import action
from rest_framework.exceptions import ParseError
from users.models import User
from .models import Post, Comment, Like
from .serializers im... | 0.567098 | 0.075007 |
class DoubleLinkedNode:
def __init__(self, key, value):
self.key = key
self.value = value
self.pre = None
self.next = None
class LRUCache:
def __init__(self, capacity):
"""
:type capacity: int
"""
self.capacity = capacity
self.kv = dict()... | p146_lru_cache.py | class DoubleLinkedNode:
def __init__(self, key, value):
self.key = key
self.value = value
self.pre = None
self.next = None
class LRUCache:
def __init__(self, capacity):
"""
:type capacity: int
"""
self.capacity = capacity
self.kv = dict()... | 0.661595 | 0.327964 |
import os.path as osp
from jacinle.cli.argument import JacArgumentParser
from jacinle.logging import get_logger
from jacinle.utils.container import GView
from jacinle.utils.meter import GroupMeters
from jacinle.utils.tqdm import tqdm_gofor, get_current_tqdm
from nscl.datasets import get_available_symbolic_datasets, in... | scripts/run-symbolic-executor.py | import os.path as osp
from jacinle.cli.argument import JacArgumentParser
from jacinle.logging import get_logger
from jacinle.utils.container import GView
from jacinle.utils.meter import GroupMeters
from jacinle.utils.tqdm import tqdm_gofor, get_current_tqdm
from nscl.datasets import get_available_symbolic_datasets, in... | 0.257672 | 0.108378 |
import json
from fuzzywuzzy import fuzz
from utils import db, dt
from utils.cache import cache
from gig._constants import GIG_CACHE_NAME, GIG_CACHE_TIMEOUT
from gig._remote_data import _get_remote_tsv_data
from gig.ent_types import ENTITY_TYPE, get_entity_type
@cache(GIG_CACHE_NAME, GIG_CACHE_TIMEOUT)
def get_entit... | src/gig/ents.py | import json
from fuzzywuzzy import fuzz
from utils import db, dt
from utils.cache import cache
from gig._constants import GIG_CACHE_NAME, GIG_CACHE_TIMEOUT
from gig._remote_data import _get_remote_tsv_data
from gig.ent_types import ENTITY_TYPE, get_entity_type
@cache(GIG_CACHE_NAME, GIG_CACHE_TIMEOUT)
def get_entit... | 0.590071 | 0.210644 |
import re
from typing import List
def find_indexes(haystack: List[str], regex: str) -> List[int]:
"""
Find indexes in a list where a regular expression matches.
Parameters
----------
haystack
List of strings.
regex
Regular expression to match.
Returns
-------
... | markdownreveal/tweak.py | import re
from typing import List
def find_indexes(haystack: List[str], regex: str) -> List[int]:
"""
Find indexes in a list where a regular expression matches.
Parameters
----------
haystack
List of strings.
regex
Regular expression to match.
Returns
-------
... | 0.656548 | 0.374448 |
from os import uname
from machine import SPI, Pin, I2C, SoftSPI
from micropython import const
from machine import UART
__version__ = "0.1.2.0"
# ----------------------------------------------------------------------------
class SPIBus(object):
"""SPI bus access."""
def __init__(self, freq, sck, sdo, sdi=None, sp... | platform/esp32/busio.py | from os import uname
from machine import SPI, Pin, I2C, SoftSPI
from micropython import const
from machine import UART
__version__ = "0.1.2.0"
# ----------------------------------------------------------------------------
class SPIBus(object):
"""SPI bus access."""
def __init__(self, freq, sck, sdo, sdi=None, sp... | 0.700588 | 0.158272 |
import socket
import time
import logging
from dnslib import *
from treelib import Tree
udp_socket = socket.socket(type=socket.SOCK_DGRAM)
udp_socket.bind(("127.0.0.1", 53))
cache = Tree()
ROOT_IP = ["192.168.3.11",
"172.16.58.3",
"192.168.3.11",
"192.168.127.12",
"172.16.... | main.py | import socket
import time
import logging
from dnslib import *
from treelib import Tree
udp_socket = socket.socket(type=socket.SOCK_DGRAM)
udp_socket.bind(("127.0.0.1", 53))
cache = Tree()
ROOT_IP = ["192.168.3.11",
"172.16.58.3",
"192.168.3.11",
"192.168.127.12",
"172.16.... | 0.236252 | 0.187337 |
import multiprocessing as mp
from pretraining.pretraining_example import create_example, create_context
class AlbertDataWorker(mp.Process):
def __init__(self, idx, config, inqueue, outqueue, *args, **kwargs):
super(AlbertDataWorker, self).__init__(*args, **kwargs)
self.idx = idx
self.con... | pretraining/albert_datagen.py | import multiprocessing as mp
from pretraining.pretraining_example import create_example, create_context
class AlbertDataWorker(mp.Process):
def __init__(self, idx, config, inqueue, outqueue, *args, **kwargs):
super(AlbertDataWorker, self).__init__(*args, **kwargs)
self.idx = idx
self.con... | 0.488771 | 0.077588 |
import biplist
import code_resources
from exceptions import NotMatched
import copy
import glob
import logging
import os
from os.path import basename, exists, join, splitext
import signable
import shutil
log = logging.getLogger(__name__)
class Bundle(object):
""" A bundle is a standard directory structure, a sign... | isign/bundle.py | import biplist
import code_resources
from exceptions import NotMatched
import copy
import glob
import logging
import os
from os.path import basename, exists, join, splitext
import signable
import shutil
log = logging.getLogger(__name__)
class Bundle(object):
""" A bundle is a standard directory structure, a sign... | 0.269614 | 0.122786 |
from py_ecc import optimized_bls12_381 as b
from fft import fft
from poly_utils import PrimeField
from multicombs import lincomb
from verkle import WIDTH, DEPTH, MODULUS, root_of_unity_candidates, ROOT_OF_UNITY
import time
ROOT_OF_UNITY2 = root_of_unity_candidates[WIDTH*2]
# default O(n^2) algorithm
def semi_toepli... | verkle/fk20.py |
from py_ecc import optimized_bls12_381 as b
from fft import fft
from poly_utils import PrimeField
from multicombs import lincomb
from verkle import WIDTH, DEPTH, MODULUS, root_of_unity_candidates, ROOT_OF_UNITY
import time
ROOT_OF_UNITY2 = root_of_unity_candidates[WIDTH*2]
# default O(n^2) algorithm
def semi_toepli... | 0.517083 | 0.508483 |
import re
import sys
from datetime import datetime
def main(filename):
git_log_text = ""
with open(filename, "r") as file:
git_log_text = file.read()
result = process_git_log(git_log_text)
print(result)
def strip_timezone_offset(timestamp_str):
timezone_offset_pattern = "[+\-][0-9][0-9]... | git_log_to_csv.py | import re
import sys
from datetime import datetime
def main(filename):
git_log_text = ""
with open(filename, "r") as file:
git_log_text = file.read()
result = process_git_log(git_log_text)
print(result)
def strip_timezone_offset(timestamp_str):
timezone_offset_pattern = "[+\-][0-9][0-9]... | 0.234582 | 0.164148 |
import numpy as np
import statsmodels as sm
from ThymeBoost.trend_models.trend_base_class import TrendBaseModel
from pmdarima.arima import auto_arima
class ArimaModel(TrendBaseModel):
"""ARIMA Model from Statsmodels"""
model = 'arima'
def __init__(self):
self.model_params = None
self.fitte... | ThymeBoost/trend_models/arima_trend.py | import numpy as np
import statsmodels as sm
from ThymeBoost.trend_models.trend_base_class import TrendBaseModel
from pmdarima.arima import auto_arima
class ArimaModel(TrendBaseModel):
"""ARIMA Model from Statsmodels"""
model = 'arima'
def __init__(self):
self.model_params = None
self.fitte... | 0.821223 | 0.402157 |
import math
import numpy as np
import pandas as pd
import argparse
from util import get_input_label_split, get_accuracy, get_precision, discretize
class NBC:
def __init__(self):
self.train_data = None
self.label = ''
self.classes = set()
self.prob = {}
self.is_discrete = se... | classification/naive_bayes_clas.py | import math
import numpy as np
import pandas as pd
import argparse
from util import get_input_label_split, get_accuracy, get_precision, discretize
class NBC:
def __init__(self):
self.train_data = None
self.label = ''
self.classes = set()
self.prob = {}
self.is_discrete = se... | 0.501465 | 0.333069 |
#Copyright 2015 RAPP
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#http://www.apache.org/licenses/LICENSE-2.0
#Unless required by applicable law or agreed to in writing, software
#distr... | rapp_hazard_detection/tests/hazard_detection/functional_tests.py |
#Copyright 2015 RAPP
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#http://www.apache.org/licenses/LICENSE-2.0
#Unless required by applicable law or agreed to in writing, software
#distr... | 0.58676 | 0.247703 |
from enum import IntEnum, Enum
# Depending modules
import six
__all__ = [
'SubscriptionStatus',
'SocketStatus',
'MessageTypes'
]
class SubscriptionStatus(IntEnum):
PENDING = 1
CONNECTED = 2
CLOSING = 3
CLOSED = 4
FAILED = 5
class SocketStatus(IntEnum):
CONNECTING = 1
READY = ... | appsync_subscription_manager/types.py | from enum import IntEnum, Enum
# Depending modules
import six
__all__ = [
'SubscriptionStatus',
'SocketStatus',
'MessageTypes'
]
class SubscriptionStatus(IntEnum):
PENDING = 1
CONNECTED = 2
CLOSING = 3
CLOSED = 4
FAILED = 5
class SocketStatus(IntEnum):
CONNECTING = 1
READY = ... | 0.5144 | 0.074131 |
import time
from typing import (
Any,
Callable,
Coroutine,
Dict,
)
# Third party libraries
import graphene
from graphql.execution.executors.asyncio import AsyncioExecutor
from starlette.applications import Starlette
from starlette.graphql import GraphQLApp
from starlette.middleware import Middleware
fro... | server/server/asgi.py | import time
from typing import (
Any,
Callable,
Coroutine,
Dict,
)
# Third party libraries
import graphene
from graphql.execution.executors.asyncio import AsyncioExecutor
from starlette.applications import Starlette
from starlette.graphql import GraphQLApp
from starlette.middleware import Middleware
fro... | 0.51562 | 0.110519 |
import argparse
import csv
import logging
import json
from util.parse import parse_package_details, parse_package_to_repos_file
from datetime import datetime
logging.basicConfig(level=logging.INFO,
format='%(asctime)s | [%(levelname)s] : %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p')
parser = argparse.Argumen... | helpers/get_matched_metadata.py |
import argparse
import csv
import logging
import json
from util.parse import parse_package_details, parse_package_to_repos_file
from datetime import datetime
logging.basicConfig(level=logging.INFO,
format='%(asctime)s | [%(levelname)s] : %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p')
parser = argparse.Argumen... | 0.320502 | 0.079317 |
import re
import secrets
import string
from typing import Mapping
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import TYPE_CHECKING
from pyrsistent import field
from pyrsistent import m
from pyrsistent import PMap
from pyrsistent import pmap
from pyrsistent import PVecto... | task_processing/plugins/kubernetes/task_config.py | import re
import secrets
import string
from typing import Mapping
from typing import Optional
from typing import Sequence
from typing import Tuple
from typing import TYPE_CHECKING
from pyrsistent import field
from pyrsistent import m
from pyrsistent import PMap
from pyrsistent import pmap
from pyrsistent import PVecto... | 0.773644 | 0.266044 |
from django.db import models
class Role(models.Model):
name = models.CharField(verbose_name='name', max_length=40, primary_key=True)
description = models.CharField(verbose_name='description', max_length=100)
functions = models.CharField(verbose_name='functions', max_length=500)
class Right(models.Model)... | app/models.py | from django.db import models
class Role(models.Model):
name = models.CharField(verbose_name='name', max_length=40, primary_key=True)
description = models.CharField(verbose_name='description', max_length=100)
functions = models.CharField(verbose_name='functions', max_length=500)
class Right(models.Model)... | 0.485356 | 0.187058 |
from django.test import TestCase
from .models import UserProfile
class TestUserProfileModel(TestCase):
def setUp(self):
UserProfile.objects.create(
default_full_name='test default full name',
default_phone_number='test default phone number',
default_street_address1='te... | profiles/test_models_profiles.py | from django.test import TestCase
from .models import UserProfile
class TestUserProfileModel(TestCase):
def setUp(self):
UserProfile.objects.create(
default_full_name='test default full name',
default_phone_number='test default phone number',
default_street_address1='te... | 0.647464 | 0.158532 |
import os
from pybuildtool import BaseTask, expand_resource
tool_name = __name__
class Task(BaseTask):
name = tool_name
workdir = None
def prepare(self):
cfg = self.conf
args = self.args
c = cfg.get('work_dir')
if c:
self.workdir = expand_reso... | pybuildtool/tools/webpack.py | import os
from pybuildtool import BaseTask, expand_resource
tool_name = __name__
class Task(BaseTask):
name = tool_name
workdir = None
def prepare(self):
cfg = self.conf
args = self.args
c = cfg.get('work_dir')
if c:
self.workdir = expand_reso... | 0.167219 | 0.045628 |
import click
import numpy as np
import rasterio
from scipy.stats import mode
from rio_alpha.utils import (
_convert_rgb,
_compute_continuous,
_debug_mode,
_search_image_edge,
_evaluate_count,
)
def discover_ndv(rgb_orig, debug, verbose):
"""Returns nodata value by calculating mode of RGB arr... | rio_alpha/findnodata.py |
import click
import numpy as np
import rasterio
from scipy.stats import mode
from rio_alpha.utils import (
_convert_rgb,
_compute_continuous,
_debug_mode,
_search_image_edge,
_evaluate_count,
)
def discover_ndv(rgb_orig, debug, verbose):
"""Returns nodata value by calculating mode of RGB arr... | 0.651466 | 0.382084 |
import json
import io
import datetime
import logging
import boto3
import pandas
import altair
from shared import S3_scraper_index
from twitter_shared import TwitterAPI
from plot_shared import get_chrome_driver
good_symb = '\u2193'
bad_symb = '\u2191'
def colclean(old):
for name in ['Hospital', 'Care Home', 'Hos... | sam/nisra-tweeter/app.py | import json
import io
import datetime
import logging
import boto3
import pandas
import altair
from shared import S3_scraper_index
from twitter_shared import TwitterAPI
from plot_shared import get_chrome_driver
good_symb = '\u2193'
bad_symb = '\u2191'
def colclean(old):
for name in ['Hospital', 'Care Home', 'Hos... | 0.372163 | 0.135747 |
import unittest
import os
from dao.text_contents_dao import TextContentsDAO
class TestTextContentsDAO(unittest.TestCase):
def setUp(self):
self.db_addr = "database/test_db.db"
os.popen(f"sqlite3 {self.db_addr} < database/schema.sql")
self.text_contents_dao = TextContentsDAO(self.db_addr)
... | src/tests/dao_test/text_contents_dao_test.py | import unittest
import os
from dao.text_contents_dao import TextContentsDAO
class TestTextContentsDAO(unittest.TestCase):
def setUp(self):
self.db_addr = "database/test_db.db"
os.popen(f"sqlite3 {self.db_addr} < database/schema.sql")
self.text_contents_dao = TextContentsDAO(self.db_addr)
... | 0.376967 | 0.188716 |
import os
import optparse
import pkg_resources
import subprocess
import sys
import zc.buildout.easy_install
import zc.recipe.egg
class TagsMaker(object):
def __init__(self, buildout, name, options):
self.buildout = buildout
self.name = name
self.options = options
# We do this ear... | src/z3c/recipe/tag/__init__.py | import os
import optparse
import pkg_resources
import subprocess
import sys
import zc.buildout.easy_install
import zc.recipe.egg
class TagsMaker(object):
def __init__(self, buildout, name, options):
self.buildout = buildout
self.name = name
self.options = options
# We do this ear... | 0.279828 | 0.080574 |
import aws_handler
import simple_logger
logger = simple_logger.logger()
logger.info('runnint test.py')
# key = "dev-client-ben/library/draft/040117_Gemtone_Radiant_Nude_OPP_2_page.pdf"
# key = "dev-client-ben/library/draft/sub_folder/2016_BASF_CC_LysSun_TPP.pdf"
# key = "dev-client-ben/library/draft/AAssembled.pdf"
#... | functions/simple/test.py | import aws_handler
import simple_logger
logger = simple_logger.logger()
logger.info('runnint test.py')
# key = "dev-client-ben/library/draft/040117_Gemtone_Radiant_Nude_OPP_2_page.pdf"
# key = "dev-client-ben/library/draft/sub_folder/2016_BASF_CC_LysSun_TPP.pdf"
# key = "dev-client-ben/library/draft/AAssembled.pdf"
#... | 0.353875 | 0.14817 |
import numpy as np
from scipy.ndimage import rotate
def check_extent(n, f, e):
if f > n:
d = f - n
f = n
e = e - d
return (e, f)
def make_patches(image, patch_shape=(8, 256, 256)):
nz, nc, ny, nx = image.shape
ez = 0
ex = 0
ey = 0
dz, dy, dx = patch_shape
patch... | PrepTrainingSet/make_patches_3d.py | import numpy as np
from scipy.ndimage import rotate
def check_extent(n, f, e):
if f > n:
d = f - n
f = n
e = e - d
return (e, f)
def make_patches(image, patch_shape=(8, 256, 256)):
nz, nc, ny, nx = image.shape
ez = 0
ex = 0
ey = 0
dz, dy, dx = patch_shape
patch... | 0.250088 | 0.324663 |
import os
import random
import django
import djangae.environment
from djangae.settings_base import * # noqa
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.... | testprodapp/testapp/settings.py | import os
import random
import django
import djangae.environment
from djangae.settings_base import * # noqa
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
# Quick-start development settings - unsuitable for production
# See https://docs.... | 0.30549 | 0.058912 |
import mysql.connector
import pandas as pd
from sklearn import preprocessing
class ReadDB:
def __init__(self, *, config, db_config):
self.config = config
self.db_config = db_config
METHOD_COLUMNS = {
'pi': {
'pi_openness': 'PI_Openness',
'pi_conscientiousness'... | stats/db.py | import mysql.connector
import pandas as pd
from sklearn import preprocessing
class ReadDB:
def __init__(self, *, config, db_config):
self.config = config
self.db_config = db_config
METHOD_COLUMNS = {
'pi': {
'pi_openness': 'PI_Openness',
'pi_conscientiousness'... | 0.472683 | 0.263037 |
import nltk
from nltk.collocations import BigramCollocationFinder
from nltk.tokenize.regexp import RegexpTokenizer
def get_bigram_likelihood(statements, stopwords=[], freq_filter=3, nbest=200):
"""
Returns n (likelihood ratio) bi-grams from a group of documents
:param statements: list of st... | external_sources.py | import nltk
from nltk.collocations import BigramCollocationFinder
from nltk.tokenize.regexp import RegexpTokenizer
def get_bigram_likelihood(statements, stopwords=[], freq_filter=3, nbest=200):
"""
Returns n (likelihood ratio) bi-grams from a group of documents
:param statements: list of st... | 0.374562 | 0.261127 |
from neomodel import (db, StructuredNode, StringProperty, IntegerProperty, FloatProperty, ArrayProperty,
RelationshipTo, RelationshipFrom, StructuredRel)
from metrics import metrics_query_latency, metrics_query_in_progress, metrics_query_count
class Has(StructuredRel):
units = IntegerPropert... | app/models/products.py | from neomodel import (db, StructuredNode, StringProperty, IntegerProperty, FloatProperty, ArrayProperty,
RelationshipTo, RelationshipFrom, StructuredRel)
from metrics import metrics_query_latency, metrics_query_in_progress, metrics_query_count
class Has(StructuredRel):
units = IntegerPropert... | 0.688887 | 0.213931 |
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, ConcurrencyContainer, PriorityContainer, Logger
from sonia_hardware_states.wait_mission import wait_mission
from sonia_navigation_states.add_pose_to_trajectory import add_pose_to_trajectory
from sonia_navigation_states.init_trajectory import init_traj... | sonia_flexbe_behaviors/src/sonia_flexbe_behaviors/mission_bags_bins_sm.py |
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, ConcurrencyContainer, PriorityContainer, Logger
from sonia_hardware_states.wait_mission import wait_mission
from sonia_navigation_states.add_pose_to_trajectory import add_pose_to_trajectory
from sonia_navigation_states.init_trajectory import init_traj... | 0.406509 | 0.24116 |
import unittest
import os, sys
test_dir = os.path.dirname(__file__)
src_dir = "../"
sys.path.insert(0, os.path.abspath(os.path.join(test_dir, src_dir)))
from bank.accounts import Accounts, CheckingAccount, SavingsAccount
from bank.account_holder import AccountHolder
from bank.banks import Bank
from bank.cards import ... | tests/project_requirements_test.py | import unittest
import os, sys
test_dir = os.path.dirname(__file__)
src_dir = "../"
sys.path.insert(0, os.path.abspath(os.path.join(test_dir, src_dir)))
from bank.accounts import Accounts, CheckingAccount, SavingsAccount
from bank.account_holder import AccountHolder
from bank.banks import Bank
from bank.cards import ... | 0.414425 | 0.464902 |
from railrl.launchers.vae_exp_launcher_util import (
train_vae,
train_reprojection_network_and_update_variant,
)
from railrl.launchers.rl_exp_launcher_util import (
tdm_td3_experiment,
tdm_twin_sac_experiment,
ih_td3_experiment,
ih_twin_sac_experiment,
)
def tdm_experiment(variant):
experi... | railrl/launchers/exp_launcher.py | from railrl.launchers.vae_exp_launcher_util import (
train_vae,
train_reprojection_network_and_update_variant,
)
from railrl.launchers.rl_exp_launcher_util import (
tdm_td3_experiment,
tdm_twin_sac_experiment,
ih_td3_experiment,
ih_twin_sac_experiment,
)
def tdm_experiment(variant):
experi... | 0.482429 | 0.166743 |
from pathlib import Path
from pprint import pprint
import click
from click import style
import tabulate as tabulate_module
from tabulate import tabulate
from .app import App
from .objects import LogLine
from .requests import (CommitRequest, DeploysRequest, JobsRequest,
JobLogRequest, PagesReque... | ghp/cli.py | from pathlib import Path
from pprint import pprint
import click
from click import style
import tabulate as tabulate_module
from tabulate import tabulate
from .app import App
from .objects import LogLine
from .requests import (CommitRequest, DeploysRequest, JobsRequest,
JobLogRequest, PagesReque... | 0.25488 | 0.171442 |
from hailtop.utils import (partition, url_basename, url_join, url_scheme,
url_and_params, parse_docker_image_reference, grouped)
from hailtop.utils.utils import digits_needed, unzip, filter_none, flatten
def test_partition_zero_empty():
assert list(partition(0, [])) == []
def test_par... | hail/python/test/hailtop/utils/test_utils.py | from hailtop.utils import (partition, url_basename, url_join, url_scheme,
url_and_params, parse_docker_image_reference, grouped)
from hailtop.utils.utils import digits_needed, unzip, filter_none, flatten
def test_partition_zero_empty():
assert list(partition(0, [])) == []
def test_par... | 0.630344 | 0.637334 |
import pathlib
import uuid
import astropy.units as u
from specutils import Spectrum1D, SpectrumCollection, SpectralRegion
from jdaviz.core.helpers import ConfigHelper
class SpecViz(ConfigHelper):
"""SpecViz Helper class"""
_default_configuration = 'specviz'
def load_data(self, data, data_label=None, f... | jdaviz/configs/specviz/helper.py | import pathlib
import uuid
import astropy.units as u
from specutils import Spectrum1D, SpectrumCollection, SpectralRegion
from jdaviz.core.helpers import ConfigHelper
class SpecViz(ConfigHelper):
"""SpecViz Helper class"""
_default_configuration = 'specviz'
def load_data(self, data, data_label=None, f... | 0.789964 | 0.342159 |
import logging
import os
import re
import yaml
from BackgroundApp import logging_conf # noqa # nopep8
os.environ["KCFG_KIVY_LOG_LEVEL"] = logging_conf["root"]["level"].lower()
# noqa # nopep8
from kivy.app import App # noqa
from kivy.clock import Clock # noqa
from kivy.config import Config # noqa
from kivy.proper... | SettingsApp.py | import logging
import os
import re
import yaml
from BackgroundApp import logging_conf # noqa # nopep8
os.environ["KCFG_KIVY_LOG_LEVEL"] = logging_conf["root"]["level"].lower()
# noqa # nopep8
from kivy.app import App # noqa
from kivy.clock import Clock # noqa
from kivy.config import Config # noqa
from kivy.proper... | 0.390708 | 0.059921 |
import argparse
def get_args():
parser = argparse.ArgumentParser(description='OWTF WAF-BYPASSER MODULE')
parser.add_argument("-X", "--method",
dest="METHODS",
action='store',
nargs="+",
hel... | framework/http/wafbypasser/core/argument_parser.py | import argparse
def get_args():
parser = argparse.ArgumentParser(description='OWTF WAF-BYPASSER MODULE')
parser.add_argument("-X", "--method",
dest="METHODS",
action='store',
nargs="+",
hel... | 0.605449 | 0.159217 |
from refextract import extract_references_from_file
from refextract import extract_references_from_string
from pathlib2 import Path
import re
import sys
sys.path.insert(0,'../')
sys.path.insert(0,'../database_queries/')
from models import Biblio
from database_queries_biblio import *
def array_to_semicolon_separated... | extract_references/test_extract_references.py | from refextract import extract_references_from_file
from refextract import extract_references_from_string
from pathlib2 import Path
import re
import sys
sys.path.insert(0,'../')
sys.path.insert(0,'../database_queries/')
from models import Biblio
from database_queries_biblio import *
def array_to_semicolon_separated... | 0.179567 | 0.225097 |