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 |
|---|---|---|---|---|
import srllib.qtgui
from PyQt4.QtCore import QObject, SIGNAL
import functools
def deferred_slot(func, optimize=False):
""" Decorator for turning a method into a deferred slot.
When calling a deferred slot, it is queued with the QApplication (must be
a L{srllib.qtgui.Application} instance). Queued calls ar... | srllib/qtgui/_signal.py | import srllib.qtgui
from PyQt4.QtCore import QObject, SIGNAL
import functools
def deferred_slot(func, optimize=False):
""" Decorator for turning a method into a deferred slot.
When calling a deferred slot, it is queued with the QApplication (must be
a L{srllib.qtgui.Application} instance). Queued calls ar... | 0.735926 | 0.290849 |
import numpy as np
import torch
from torch.nn import Module
from sklearn.metrics import accuracy_score
from torch import nn, optim
from torch.optim.lr_scheduler import MultiplicativeLR
class DeepSeqNet(Module):
def __init__(self):
super(DeepSeqNet, self).__init__()
def _compile(self, optimizer, lea... | models/deep_seq_net.py | import numpy as np
import torch
from torch.nn import Module
from sklearn.metrics import accuracy_score
from torch import nn, optim
from torch.optim.lr_scheduler import MultiplicativeLR
class DeepSeqNet(Module):
def __init__(self):
super(DeepSeqNet, self).__init__()
def _compile(self, optimizer, lea... | 0.939241 | 0.419291 |
import sample_utils, config, parse_midas_data, sfs_utils, diversity_utils, gene_diversity_utils, core_gene_utils
import os, os.path, sys, gzip
import numpy
temporal_change_directory = '%s/temporal_changes/' % (config.data_directory)
intermediate_filename_template = '%s/%s.txt.gz'
min_coverage = config.min_medi... | utils/temporal_changes_utils.py | import sample_utils, config, parse_midas_data, sfs_utils, diversity_utils, gene_diversity_utils, core_gene_utils
import os, os.path, sys, gzip
import numpy
temporal_change_directory = '%s/temporal_changes/' % (config.data_directory)
intermediate_filename_template = '%s/%s.txt.gz'
min_coverage = config.min_medi... | 0.133415 | 0.126704 |
def check_winner(input_list, size):
"""
Check the winner number in row, column, or diagonal direction.
Arguments:
input_list -- a two dimensional list for checking.
size -- the length for winning.
Returns:
winner -- the winner player number, if no winner return None.
"""
#... | Exercise-29-Tic-Tac-Toe-Game.py | def check_winner(input_list, size):
"""
Check the winner number in row, column, or diagonal direction.
Arguments:
input_list -- a two dimensional list for checking.
size -- the length for winning.
Returns:
winner -- the winner player number, if no winner return None.
"""
#... | 0.708515 | 0.491212 |
import argparse
import getpass
import json
import datetime
import chimp
import time
import logging
import os
import threading
import sys
try:
LIST_ID = os.environ['MAILCHIMP_LIST_ID']
except:
logging.fatal('Error please give a list')
def load_mailchimp():
if os.path.isfile('members.json'):
with op... | main.py | import argparse
import getpass
import json
import datetime
import chimp
import time
import logging
import os
import threading
import sys
try:
LIST_ID = os.environ['MAILCHIMP_LIST_ID']
except:
logging.fatal('Error please give a list')
def load_mailchimp():
if os.path.isfile('members.json'):
with op... | 0.098096 | 0.05962 |
import zarr
from pathlib import Path
from cached_property import cached_property
import gcsfs
GCP_PROJECT = 'malariagen-jupyterhub'
AG1000G_RELEASE_DIR = Path("ag1000g-release")
PHASE1_AR3_DIR = AG1000G_RELEASE_DIR / 'phase1.AR3'
PHASE1_AR31_DIR = AG1000G_RELEASE_DIR / 'phase1.AR3.1'
PHASE2_AR1_DIR = AG1000G_RELEASE_... | catalogs/ag1000g/gcp.py | import zarr
from pathlib import Path
from cached_property import cached_property
import gcsfs
GCP_PROJECT = 'malariagen-jupyterhub'
AG1000G_RELEASE_DIR = Path("ag1000g-release")
PHASE1_AR3_DIR = AG1000G_RELEASE_DIR / 'phase1.AR3'
PHASE1_AR31_DIR = AG1000G_RELEASE_DIR / 'phase1.AR3.1'
PHASE2_AR1_DIR = AG1000G_RELEASE_... | 0.522689 | 0.112503 |
import requests
ROOT_URL = "http://www.bom.gov.au/fwo/"
WEATHER_TEXT = (
"{name} -- Location {username}'s Place --Time {local_date_time} -- The "
"Wind is from the {wind_dir} -- Wind speed {wind_spd_kt} KPH -- Wind "
"gusts {gust_kmh} KPH -- Air temps is {air_temp}{degree}C -- {temp_f}"
"{degr... | src/aussie_bot/modules/weather.py | import requests
ROOT_URL = "http://www.bom.gov.au/fwo/"
WEATHER_TEXT = (
"{name} -- Location {username}'s Place --Time {local_date_time} -- The "
"Wind is from the {wind_dir} -- Wind speed {wind_spd_kt} KPH -- Wind "
"gusts {gust_kmh} KPH -- Air temps is {air_temp}{degree}C -- {temp_f}"
"{degr... | 0.296756 | 0.281906 |
import pandas as pd
import numpy as np
import os, csv
from collections import defaultdict
import logging
class CityInfo:
def __init__(self):
# Make dict
self.cities_data = {}
self.cities_data_ascii_names = {}
with open('worldcities.csv', encoding='utf-8') as csvDataFile:
... | data/kepler.py | import pandas as pd
import numpy as np
import os, csv
from collections import defaultdict
import logging
class CityInfo:
def __init__(self):
# Make dict
self.cities_data = {}
self.cities_data_ascii_names = {}
with open('worldcities.csv', encoding='utf-8') as csvDataFile:
... | 0.286568 | 0.234133 |
""" Userbot module which contains afk-related commands """
from random import choice, randint
from asyncio import sleep
from datetime import datetime
from telethon.events import StopPropagation
from userbot import (AFKREASON, COUNT_MSG, CMD_HELP, ISAFK, BOTLOG,
BOTLOG_CHATID, USERS, PM_AUTO_BAN)
... | userbot/modules/afk.py | """ Userbot module which contains afk-related commands """
from random import choice, randint
from asyncio import sleep
from datetime import datetime
from telethon.events import StopPropagation
from userbot import (AFKREASON, COUNT_MSG, CMD_HELP, ISAFK, BOTLOG,
BOTLOG_CHATID, USERS, PM_AUTO_BAN)
... | 0.365343 | 0.166117 |
import typing as t
from typing import TYPE_CHECKING
import numpy as np
import joblib
import pytest
from sklearn.ensemble import RandomForestClassifier
import bentoml
import bentoml.models
from bentoml.exceptions import BentoMLException
from tests.utils.helpers import assert_have_file_extension
from tests.utils.framew... | tests/integration/frameworks/test_sklearn_impl.py | import typing as t
from typing import TYPE_CHECKING
import numpy as np
import joblib
import pytest
from sklearn.ensemble import RandomForestClassifier
import bentoml
import bentoml.models
from bentoml.exceptions import BentoMLException
from tests.utils.helpers import assert_have_file_extension
from tests.utils.framew... | 0.597021 | 0.572962 |
from collections import defaultdict
import matplotlib
import matplotlib.cm as cmx
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import networkx as nx
from sklearn.manifold import TSNE
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['font.family'] = ['sans-serif']
plt.rcParams['font.sans-s... | tools/visualize.py | from collections import defaultdict
import matplotlib
import matplotlib.cm as cmx
import matplotlib.colors as colors
import matplotlib.pyplot as plt
import networkx as nx
from sklearn.manifold import TSNE
plt.rcParams['axes.unicode_minus'] = False
plt.rcParams['font.family'] = ['sans-serif']
plt.rcParams['font.sans-s... | 0.718496 | 0.435241 |
__author__ = '<NAME>'
__copyright__ = '2018 Sourcerer, Inc'
import os
import shutil
from datetime import datetime
from .storage_base import StorageBase
class LocalStorage(StorageBase):
def __init__(self, work_dir):
self.work_dir = work_dir
def make_dirs(self, path):
full_path = os.path.joi... | fame/storage/local_storage.py |
__author__ = '<NAME>'
__copyright__ = '2018 Sourcerer, Inc'
import os
import shutil
from datetime import datetime
from .storage_base import StorageBase
class LocalStorage(StorageBase):
def __init__(self, work_dir):
self.work_dir = work_dir
def make_dirs(self, path):
full_path = os.path.joi... | 0.328314 | 0.077065 |
from mshr import *
from dolfin import *
from nodes import *
from scipy.sparse import dok_matrix
from ddm import *
from matplotlib import pyplot as plt
import matplotlib.tri as tri
from scipy.sparse.linalg import spsolve, gmres, splu, LinearOperator, inv
from scipy.linalg import expm_cond
parameters['reorder_dofs_seria... | OLD/main.py | from mshr import *
from dolfin import *
from nodes import *
from scipy.sparse import dok_matrix
from ddm import *
from matplotlib import pyplot as plt
import matplotlib.tri as tri
from scipy.sparse.linalg import spsolve, gmres, splu, LinearOperator, inv
from scipy.linalg import expm_cond
parameters['reorder_dofs_seria... | 0.303732 | 0.310472 |
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, ConcurrencyContainer, PriorityContainer, Logger
from sara_flexbe_states.GetRosParam import GetRosParam
from sara_flexbe_states.Get_Entity_By_ID import GetEntityByID
from sara_flexbe_states.sara_say import SaraSay
from sara_flexbe_states.for_loop impor... | sara_flexbe_behaviors/src/sara_flexbe_behaviors/get_operator_sm.py |
from flexbe_core import Behavior, Autonomy, OperatableStateMachine, ConcurrencyContainer, PriorityContainer, Logger
from sara_flexbe_states.GetRosParam import GetRosParam
from sara_flexbe_states.Get_Entity_By_ID import GetEntityByID
from sara_flexbe_states.sara_say import SaraSay
from sara_flexbe_states.for_loop impor... | 0.343342 | 0.214527 |
import logging
import re
from collections import OrderedDict
from logging import getLogger
from pathlib import Path
from typing import List, Optional, Set, Tuple
from urllib.request import urlopen
from ordered_set import OrderedSet
from pronunciation_dict_parser.core.types import (Pronunciation,
... | src/pronunciation_dict_parser/core/parser.py | import logging
import re
from collections import OrderedDict
from logging import getLogger
from pathlib import Path
from typing import List, Optional, Set, Tuple
from urllib.request import urlopen
from ordered_set import OrderedSet
from pronunciation_dict_parser.core.types import (Pronunciation,
... | 0.763572 | 0.166947 |
# Import statements
import copy
import sys
import time
import collections
import RUN_stimpy as stimpy
from RUN_stimpy import Premise, Query
from rule_reading_system import Rule, MP_Rule
import rule_settings
import wordnet_relations
import spacy
from anytree import Node, RenderTree
from anytree.exporter import DotExpo... | Scripts/EVALUATE_dev_samples.py | # Import statements
import copy
import sys
import time
import collections
import RUN_stimpy as stimpy
from RUN_stimpy import Premise, Query
from rule_reading_system import Rule, MP_Rule
import rule_settings
import wordnet_relations
import spacy
from anytree import Node, RenderTree
from anytree.exporter import DotExpo... | 0.472197 | 0.222447 |
import requests
import re
from bs4 import BeautifulSoup
import json
import time
import unicodedata
def get_web(currenturl):
try:
res = requests.get(currenturl)
res.raise_for_status()
return res.content
except requests.RequestException as e:
print(e)
return
... | scrape_article.py | import requests
import re
from bs4 import BeautifulSoup
import json
import time
import unicodedata
def get_web(currenturl):
try:
res = requests.get(currenturl)
res.raise_for_status()
return res.content
except requests.RequestException as e:
print(e)
return
... | 0.075649 | 0.06134 |
import os
import subprocess
import click
import dotenv
import locale
import requests
from dialog import Dialog
class Jump:
items: list = []
formatted_menu_items: list = []
def __init__(self) -> None:
self.d: Dialog = Dialog()
self.get_item_list()
self.run()
def get_item_lis... | jump/menu.py |
import os
import subprocess
import click
import dotenv
import locale
import requests
from dialog import Dialog
class Jump:
items: list = []
formatted_menu_items: list = []
def __init__(self) -> None:
self.d: Dialog = Dialog()
self.get_item_list()
self.run()
def get_item_lis... | 0.333612 | 0.061593 |
import unittest
import copy
from unittest.mock import Mock
from algorithms.configuration.entities.agent import Agent
from algorithms.configuration.entities.goal import Goal
from algorithms.configuration.entities.obstacle import Obstacle
from algorithms.configuration.entities.trace import Trace
from algorithms.configu... | tests/test_maps/test_sparse_map.py | import unittest
import copy
from unittest.mock import Mock
from algorithms.configuration.entities.agent import Agent
from algorithms.configuration.entities.goal import Goal
from algorithms.configuration.entities.obstacle import Obstacle
from algorithms.configuration.entities.trace import Trace
from algorithms.configu... | 0.622574 | 0.706034 |
import pytest
from dataclasses import dataclass
import critbit
@dataclass
class Ingredient:
name: str
enabled: bool = None
@dataclass
class Recipe:
name: str
ingredients: set
def test_no_matches():
"""Test when a match is successful"""
in_kitchen = (
Ingredient(name='steak'),
... | tests/test_critbit.py | import pytest
from dataclasses import dataclass
import critbit
@dataclass
class Ingredient:
name: str
enabled: bool = None
@dataclass
class Recipe:
name: str
ingredients: set
def test_no_matches():
"""Test when a match is successful"""
in_kitchen = (
Ingredient(name='steak'),
... | 0.69368 | 0.476945 |
import clr
import sys
pyt_path = r'C:\Program Files (x86)\IronPython 2.7\Lib'
sys.path.append(pyt_path)
import xml.etree.ElementTree as ET
hardcodedshortcuts = {
"ID_APP_EXIT": ["Alt+Fn4"],
"ID_BUTTON_DELETE": ["Delete"],
"ID_BUTTON_REDO": ["Ctrl+Y","Ctrl+Shift+Z"],
"ID_BUTTON_UNDO": ["Ctrl+Z","Alt+Backspace"],
"... | nodes/2.x/python/KeyboardShortcuts.ByPath.py | import clr
import sys
pyt_path = r'C:\Program Files (x86)\IronPython 2.7\Lib'
sys.path.append(pyt_path)
import xml.etree.ElementTree as ET
hardcodedshortcuts = {
"ID_APP_EXIT": ["Alt+Fn4"],
"ID_BUTTON_DELETE": ["Delete"],
"ID_BUTTON_REDO": ["Ctrl+Y","Ctrl+Shift+Z"],
"ID_BUTTON_UNDO": ["Ctrl+Z","Alt+Backspace"],
"... | 0.081771 | 0.201794 |
import pytest
from utils import Signer
U64 = 2**64-1
STATE = (0, 0)
@pytest.mark.asyncio
async def test_next(x128_ss):
s0 = splitmix64(42)
s1 = splitmix64(s0)
global STATE
STATE = (s0, s1)
def rotl(x, k):
return (x << k) | (x >> (64 - k))
def next():
global STATE
s... | tests/test_xoroshiro128_starstar.py | import pytest
from utils import Signer
U64 = 2**64-1
STATE = (0, 0)
@pytest.mark.asyncio
async def test_next(x128_ss):
s0 = splitmix64(42)
s1 = splitmix64(s0)
global STATE
STATE = (s0, s1)
def rotl(x, k):
return (x << k) | (x >> (64 - k))
def next():
global STATE
s... | 0.502686 | 0.526708 |
import logging
import uuid
import datetime
from six.moves import http_client
from flask import request, g, abort, url_for, jsonify
from flask.views import MethodView
import marshmallow as ma
from flask_restx import reqparse
from flask_smorest import Blueprint
from drift.core.extensions.urlregistry import Endpoints
f... | driftbase/api/friendships.py | import logging
import uuid
import datetime
from six.moves import http_client
from flask import request, g, abort, url_for, jsonify
from flask.views import MethodView
import marshmallow as ma
from flask_restx import reqparse
from flask_smorest import Blueprint
from drift.core.extensions.urlregistry import Endpoints
f... | 0.430866 | 0.071332 |
import base64
import logging
import requests
import voluptuous as vol
from homeassistant.const import (
ATTR_ENTITY_ID, ATTR_NAME)
from homeassistant.core import split_entity_id
import homeassistant.helpers.config_validation as cv
from homeassistant.components.image_processing import (
PLATFORM_SCHEMA, ImageP... | homeassistant/components/image_processing/facebox.py | import base64
import logging
import requests
import voluptuous as vol
from homeassistant.const import (
ATTR_ENTITY_ID, ATTR_NAME)
from homeassistant.core import split_entity_id
import homeassistant.helpers.config_validation as cv
from homeassistant.components.image_processing import (
PLATFORM_SCHEMA, ImageP... | 0.639849 | 0.121399 |
from matplotlib.font_manager import FontProperties
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
import pandas as pd
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import font_manager
zhfont1=font_manager.FontProperties(fname='SimHei.... | Python_Code/Processing_multi_differ/multi_difference.py | from matplotlib.font_manager import FontProperties
from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable
import pandas as pd
import os
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import font_manager
zhfont1=font_manager.FontProperties(fname='SimHei.... | 0.111072 | 0.179764 |
# In[1]:
from selenium import webdriver
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
from time import sleep
# In[29]:
path="C:\Progr... | automation.py |
# In[1]:
from selenium import webdriver
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
from time import sleep
# In[29]:
path="C:\Progr... | 0.252292 | 0.068506 |
import cv2
import mediapipe as mp
# FOR CHECKING THE FRAME RATE
import time
# CREATE A VIDEOCAPTURE OBJECT
cap = cv2.VideoCapture(0);
# TO DETECT HAND
mpHands = mp.solutions.hands
# WE HAVE CREATED A MEDIAPIPE 'HANDS' OBJECT, THUS DETECTING HAND WITH HELP OF THE 21 GIVEN POINTS)
# PARAMS :-
# static... | Virtual Mouse/handtracking.py | import cv2
import mediapipe as mp
# FOR CHECKING THE FRAME RATE
import time
# CREATE A VIDEOCAPTURE OBJECT
cap = cv2.VideoCapture(0);
# TO DETECT HAND
mpHands = mp.solutions.hands
# WE HAVE CREATED A MEDIAPIPE 'HANDS' OBJECT, THUS DETECTING HAND WITH HELP OF THE 21 GIVEN POINTS)
# PARAMS :-
# static... | 0.167627 | 0.055056 |
try:
from django.conf.urls import url
except ImportError:
from django.urls import re_path as url
from django.conf import settings
if getattr(settings, 'POSTMAN_I18N_URLS', False):
from django.utils.translation import pgettext_lazy
else:
def pgettext_lazy(c, m): return m
from django.urls import path
fr... | schoolio/urls.py | try:
from django.conf.urls import url
except ImportError:
from django.urls import re_path as url
from django.conf import settings
if getattr(settings, 'POSTMAN_I18N_URLS', False):
from django.utils.translation import pgettext_lazy
else:
def pgettext_lazy(c, m): return m
from django.urls import path
fr... | 0.121973 | 0.076857 |
from rest_framework import generics, authentication
from rest_framework import permissions, status, viewsets
from rest_framework.authtoken.views import ObtainAuthToken
from rest_framework.settings import api_settings
from rest_framework.response import Response
from rest_framework.generics import get_object_or_404
from... | apiuser/user/views.py | from rest_framework import generics, authentication
from rest_framework import permissions, status, viewsets
from rest_framework.authtoken.views import ObtainAuthToken
from rest_framework.settings import api_settings
from rest_framework.response import Response
from rest_framework.generics import get_object_or_404
from... | 0.683208 | 0.091099 |
import wave
import winsound
import struct
import sys
import os
os.chdir(os.path.dirname(os.path.abspath( __file__ )))
# Yields lines narrower than 80 chars
def frmt16(st):
line = ''
while st:
value = (int(struct.unpack("<h", st[0:2])[0]))
value = (value%2**16) if value>=0 else (value%... | xdk-asf-3.51.0/xmega/applications/xmega_a1_xplained_demo/utils/wav2array.py | import wave
import winsound
import struct
import sys
import os
os.chdir(os.path.dirname(os.path.abspath( __file__ )))
# Yields lines narrower than 80 chars
def frmt16(st):
line = ''
while st:
value = (int(struct.unpack("<h", st[0:2])[0]))
value = (value%2**16) if value>=0 else (value%... | 0.041491 | 0.088505 |
__author__ = '<NAME>, <NAME>, <NAME>, <NAME>, <NAME> '
__email__ = '<EMAIL>, <EMAIL>, <EMAIL>, <EMAIL>, <EMAIL>'
import os
import argparse
import xml.etree.ElementTree as ET
from xml.dom import minidom
import copy
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('out_dir', h... | src/ROUGE/create_config.py | __author__ = '<NAME>, <NAME>, <NAME>, <NAME>, <NAME> '
__email__ = '<EMAIL>, <EMAIL>, <EMAIL>, <EMAIL>, <EMAIL>'
import os
import argparse
import xml.etree.ElementTree as ET
from xml.dom import minidom
import copy
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('out_dir', h... | 0.17971 | 0.066025 |
import os
import numpy as np
from pynwb import register_class, docval, get_class
from pynwb.core import VectorIndex, VectorData, DynamicTable, ElementIdentifiers
from hdmf.utils import call_docval_func
from pynwb import load_namespaces
name = 'ndx-simulation-output'
here = os.path.abspath(os.path.dirname(__file__))
... | src/pynwb/ndx_simulation_output/simulation_output.py | import os
import numpy as np
from pynwb import register_class, docval, get_class
from pynwb.core import VectorIndex, VectorData, DynamicTable, ElementIdentifiers
from hdmf.utils import call_docval_func
from pynwb import load_namespaces
name = 'ndx-simulation-output'
here = os.path.abspath(os.path.dirname(__file__))
... | 0.705379 | 0.409929 |
import pyarabic.araby as araby
import unicodedata as ud
import os
import nltk
import gensim
from gensim import corpora,models,similarities
import re
from sklearn.decomposition import PCA
from matplotlib import pyplot
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
def punctuation_ar(txt): # this f... | word2vec_Q_A.py |
import pyarabic.araby as araby
import unicodedata as ud
import os
import nltk
import gensim
from gensim import corpora,models,similarities
import re
from sklearn.decomposition import PCA
from matplotlib import pyplot
from sklearn.manifold import TSNE
import matplotlib.pyplot as plt
def punctuation_ar(txt): # this f... | 0.202719 | 0.245582 |
from conans.errors import ConanException
def _get_gnu_triplet(os_, arch, compiler=None):
"""
Returns string with <machine>-<vendor>-<op_system> triplet (<vendor> can be omitted in practice)
:param os_: os to be used to create the triplet
:param arch: arch to be used to create the triplet
:param c... | conan/tools/gnu/get_gnu_triplet.py | from conans.errors import ConanException
def _get_gnu_triplet(os_, arch, compiler=None):
"""
Returns string with <machine>-<vendor>-<op_system> triplet (<vendor> can be omitted in practice)
:param os_: os to be used to create the triplet
:param arch: arch to be used to create the triplet
:param c... | 0.665737 | 0.233542 |
import os
import fnmatch
from .models import *
def add_clients(session, protodir, verbose):
"""Add clients to the replay attack database."""
for client in open(os.path.join(protodir, 'clients.txt'), 'rt'):
s = client.strip().split(' ', 2)
if not s:
continue # empty line
id = int(s[0])
set... | bob/db/replay/create.py | import os
import fnmatch
from .models import *
def add_clients(session, protodir, verbose):
"""Add clients to the replay attack database."""
for client in open(os.path.join(protodir, 'clients.txt'), 'rt'):
s = client.strip().split(' ', 2)
if not s:
continue # empty line
id = int(s[0])
set... | 0.297674 | 0.089614 |
import argparse
import numpy as np
import mdtraj as md
import matplotlib.pyplot as plt
from LLC_Membranes.llclib import physical
import pickle
def initialize():
parser = argparse.ArgumentParser(description='Figure out the weight percent of water in the pores and tails')
# trajectory control
parser.add_... | LLC_Membranes/analysis/pore_wall.py |
import argparse
import numpy as np
import mdtraj as md
import matplotlib.pyplot as plt
from LLC_Membranes.llclib import physical
import pickle
def initialize():
parser = argparse.ArgumentParser(description='Figure out the weight percent of water in the pores and tails')
# trajectory control
parser.add_... | 0.697815 | 0.404684 |
from deepobs import analyzer
import json
import matplotlib.pyplot as plt
import matplotlib as mpl
import tikzplotlib
import codecs
# get the plot
fig, axess = analyzer.plot_testset_performances('./results/', mode = 'final')
axess[0][0].set_title("DeepOBS init")
axess[0][1].set_title("PyTorch default init")
axess[0]... | code/exp_init/analyze.py | from deepobs import analyzer
import json
import matplotlib.pyplot as plt
import matplotlib as mpl
import tikzplotlib
import codecs
# get the plot
fig, axess = analyzer.plot_testset_performances('./results/', mode = 'final')
axess[0][0].set_title("DeepOBS init")
axess[0][1].set_title("PyTorch default init")
axess[0]... | 0.248079 | 0.3122 |
import datetime
import jwt
from flasgger import swag_from
from flask import Blueprint, request
from flask.views import MethodView
from flask_restful import Api
from werkzeug.security import check_password_hash
from models import User
from config.environment_tools import get_secret_key
from controllers.request_model im... | src/resources/authentication/__init__.py | import datetime
import jwt
from flasgger import swag_from
from flask import Blueprint, request
from flask.views import MethodView
from flask_restful import Api
from werkzeug.security import check_password_hash
from models import User
from config.environment_tools import get_secret_key
from controllers.request_model im... | 0.374676 | 0.044183 |
import zmq
import json
from time import sleep
"""
sanity checks copied from armctl provided by Torobo.
"""
def isInvalidJointId(id):
list = ["all", "1", "2", "3", "4", "5", "6", "7", "8"]
sp = id.split("/")
for s in sp:
if s not in list:
return True
return False
def isInvalidSe... | ToroboTakahashi/.ipynb_checkpoints/torobo_communicator-checkpoint.py | import zmq
import json
from time import sleep
"""
sanity checks copied from armctl provided by Torobo.
"""
def isInvalidJointId(id):
list = ["all", "1", "2", "3", "4", "5", "6", "7", "8"]
sp = id.split("/")
for s in sp:
if s not in list:
return True
return False
def isInvalidSe... | 0.286169 | 0.227995 |
import argparse
import ijson
import multiprocessing
import json
from os import linesep
from bisect import bisect_left
STOP_TOKEN = "<PASSWORD>!!!"
def file_writer(dest_filename, some_queue, some_stop_token):
"""Write JSON strings to a JSON list from a multiprocessing
queue to a file until the stop token is s... | grapper/grapper.py | import argparse
import ijson
import multiprocessing
import json
from os import linesep
from bisect import bisect_left
STOP_TOKEN = "<PASSWORD>!!!"
def file_writer(dest_filename, some_queue, some_stop_token):
"""Write JSON strings to a JSON list from a multiprocessing
queue to a file until the stop token is s... | 0.600071 | 0.199211 |
import torch
def make_d2_symm(A):
r"""
:param A: on-site tensor
:type A: torch.tensor
:return: d2 symmetrized tensor ``A``
:rtype: torch.tensor
::
u s
|/
l--A--r <=> A[s,u,l,d,r]
|
d
Perform left-right symmetrization
"""
A... | groups/pg.py | import torch
def make_d2_symm(A):
r"""
:param A: on-site tensor
:type A: torch.tensor
:return: d2 symmetrized tensor ``A``
:rtype: torch.tensor
::
u s
|/
l--A--r <=> A[s,u,l,d,r]
|
d
Perform left-right symmetrization
"""
A... | 0.797872 | 0.838878 |
from troveclient import base
from troveclient import common
REBOOT_SOFT = 'SOFT'
REBOOT_HARD = 'HARD'
class Instance(base.Resource):
"""An Instance is an opaque instance used to store Database instances."""
def __repr__(self):
return "<Instance: %s>" % self.name
def list_databases(self):
... | troveclient/v1/instances.py |
from troveclient import base
from troveclient import common
REBOOT_SOFT = 'SOFT'
REBOOT_HARD = 'HARD'
class Instance(base.Resource):
"""An Instance is an opaque instance used to store Database instances."""
def __repr__(self):
return "<Instance: %s>" % self.name
def list_databases(self):
... | 0.624294 | 0.098425 |
# Making KratosMultiphysics backward compatible with python 2.6 and 2.7
from __future__ import print_function, absolute_import, division
# importing the Kratos Library
from KratosMultiphysics import *
from KratosMultiphysics.ShapeOptimizationApplication import *
import structural_response_function_factory
# ========... | applications/ShapeOptimizationApplication/python_scripts/response_function_factory.py |
# Making KratosMultiphysics backward compatible with python 2.6 and 2.7
from __future__ import print_function, absolute_import, division
# importing the Kratos Library
from KratosMultiphysics import *
from KratosMultiphysics.ShapeOptimizationApplication import *
import structural_response_function_factory
# ========... | 0.77768 | 0.199133 |
import os
import json
import yaml
from pytezos import pytezos
from prompt_toolkit import HTML
from chinstrap.chinstrapCore import Helpers
from prompt_toolkit import print_formatted_text
class ChinstrapConfig:
def __init__(self, network='development', compile=False) -> None:
if not os.path.exists('./chinstrap_config... | chinstrap/chinstrapCore/Config.py | import os
import json
import yaml
from pytezos import pytezos
from prompt_toolkit import HTML
from chinstrap.chinstrapCore import Helpers
from prompt_toolkit import print_formatted_text
class ChinstrapConfig:
def __init__(self, network='development', compile=False) -> None:
if not os.path.exists('./chinstrap_config... | 0.05398 | 0.090013 |
from .lib import utils
from .lib.gravity import Dependency
from .lib.utils import make_block
from .modules import vcs
from .modules.error_state import HasErrorState
from .modules.output import HasOutput
from .modules.structure_handler import HasStructure
__all__ = ["Submit"]
class Submit(HasOutput, HasStructure, Has... | universum/submit.py | from .lib import utils
from .lib.gravity import Dependency
from .lib.utils import make_block
from .modules import vcs
from .modules.error_state import HasErrorState
from .modules.output import HasOutput
from .modules.structure_handler import HasStructure
__all__ = ["Submit"]
class Submit(HasOutput, HasStructure, Has... | 0.483405 | 0.05848 |
"""Testing for custom_predict.py"""
import csv
import os
import unittest
from unittest import TestCase
from keyword_clustering import cluster_keywords
TEMP_TESTING_FILE = "./temp_file_for_testing_keyword_clustering"
class KeywordClusteringTest(TestCase):
def tearDown(self):
os.remove(TEMP_TESTING_FILE)
de... | keyword_clustering_test.py | """Testing for custom_predict.py"""
import csv
import os
import unittest
from unittest import TestCase
from keyword_clustering import cluster_keywords
TEMP_TESTING_FILE = "./temp_file_for_testing_keyword_clustering"
class KeywordClusteringTest(TestCase):
def tearDown(self):
os.remove(TEMP_TESTING_FILE)
de... | 0.454714 | 0.350394 |
from titlesearch.bakaupdates import BakaUpdates
from titlesearch.mal import MyAnimeList
from titlesearch.vndb import VisualNovelDatabase
def get_similar_titles(title: str) -> list:
"""search the 3 different modules for a similar title and return a list sorted by similarity
:type title: str
:return:
... | titlesearch/main.py |
from titlesearch.bakaupdates import BakaUpdates
from titlesearch.mal import MyAnimeList
from titlesearch.vndb import VisualNovelDatabase
def get_similar_titles(title: str) -> list:
"""search the 3 different modules for a similar title and return a list sorted by similarity
:type title: str
:return:
... | 0.696165 | 0.304468 |
import matplotlib.pyplot as plt
import numpy as np
import os
from plotdata import PlotData
from graph import Graph as gh
import pandas as pd
from plotdata import PlotData
class Graphics():
def generate_graph(self, csv_file, save_path):
''' Generate a graph
This function generates a graph with d... | graphics.py | import matplotlib.pyplot as plt
import numpy as np
import os
from plotdata import PlotData
from graph import Graph as gh
import pandas as pd
from plotdata import PlotData
class Graphics():
def generate_graph(self, csv_file, save_path):
''' Generate a graph
This function generates a graph with d... | 0.744285 | 0.602296 |
import itertools
import numpy as np
import pytest
from chunkblocks.global_offset_array import GlobalOffsetArray
from chunkblocks.iterators import Iterator
from chunkblocks.models import Block, Chunk
class IdentityIterator(Iterator):
def get_all_neighbors(self, index, max=None):
return index
def get... | tests/test_models.py | import itertools
import numpy as np
import pytest
from chunkblocks.global_offset_array import GlobalOffsetArray
from chunkblocks.iterators import Iterator
from chunkblocks.models import Block, Chunk
class IdentityIterator(Iterator):
def get_all_neighbors(self, index, max=None):
return index
def get... | 0.716715 | 0.546012 |
import numpy as np
import sys
import xml.etree.ElementTree as ET
from transforms3d.euler import euler2quat
import os
import time
# The path below comes from a docker
sys.path.append("/workspace/sapien/build")
import rospkg
import rospy
import pysapien_ros1.core as sapien
import pysapien_ros1.ros1 as sr
RENDER_HZ = 8
... | sapien_simulator/scripts/sapien_env.py | import numpy as np
import sys
import xml.etree.ElementTree as ET
from transforms3d.euler import euler2quat
import os
import time
# The path below comes from a docker
sys.path.append("/workspace/sapien/build")
import rospkg
import rospy
import pysapien_ros1.core as sapien
import pysapien_ros1.ros1 as sr
RENDER_HZ = 8
... | 0.416085 | 0.261461 |
import copy
import threading
from collections import defaultdict
from projex.lazymodule import lazy_import
from projex.locks import ReadWriteLock, WriteLocker, ReadLocker
orb = lazy_import('orb')
class Context(object):
""""
Defines a unique instance of information that will be bundled when
calling differe... | orb/core/context.py | import copy
import threading
from collections import defaultdict
from projex.lazymodule import lazy_import
from projex.locks import ReadWriteLock, WriteLocker, ReadLocker
orb = lazy_import('orb')
class Context(object):
""""
Defines a unique instance of information that will be bundled when
calling differe... | 0.518059 | 0.196942 |
import unittest
import zserio
from testutils import getZserioApi
from TestPubsub import TestPubsub, TestPubsubContext
class SimplePubsubTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.api = getZserioApi(__file__, "pubsub_types.zs").simple_pubsub
def setUp(self):
pubsub = T... | test/language/pubsub_types/python/SimplePubsubTest.py | import unittest
import zserio
from testutils import getZserioApi
from TestPubsub import TestPubsub, TestPubsubContext
class SimplePubsubTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.api = getZserioApi(__file__, "pubsub_types.zs").simple_pubsub
def setUp(self):
pubsub = T... | 0.653127 | 0.32154 |
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors import (
pauli_error,
depolarizing_error,
)
from statistics import stdev
from math import sqrt
from datetime import datetime
SPACE = ' '
def string_reverse(input_string):
"""Reverses a string.
Parameters
... | helper_functions.py |
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors import (
pauli_error,
depolarizing_error,
)
from statistics import stdev
from math import sqrt
from datetime import datetime
SPACE = ' '
def string_reverse(input_string):
"""Reverses a string.
Parameters
... | 0.906821 | 0.667212 |
import json, subprocess
from .... pyaz_utils import get_cli_name, get_params
def create(resource_group, vnet_name, name, address_prefixes, network_security_group=None, route_table=None, service_endpoints=None, service_endpoint_policy=None, delegations=None, nat_gateway=None, disable_private_endpoint_network_policies=... | test/pyaz/network/vnet/subnet/__init__.py | import json, subprocess
from .... pyaz_utils import get_cli_name, get_params
def create(resource_group, vnet_name, name, address_prefixes, network_security_group=None, route_table=None, service_endpoints=None, service_endpoint_policy=None, delegations=None, nat_gateway=None, disable_private_endpoint_network_policies=... | 0.189334 | 0.061734 |
import gdb
import functools
import time
import logging
import traceback
global isDevelopmentBuild
global setTrace
global currentExecutionContext
variableReferenceCounter = 0
def next_variable_reference():
global variableReferenceCounter
res = variableReferenceCounter + 1
variableReferenceCounter += 1
... | modules/python/config.py |
import gdb
import functools
import time
import logging
import traceback
global isDevelopmentBuild
global setTrace
global currentExecutionContext
variableReferenceCounter = 0
def next_variable_reference():
global variableReferenceCounter
res = variableReferenceCounter + 1
variableReferenceCounter += 1
... | 0.615319 | 0.05498 |
__docformat__ = "reStructuredText"
from Testing import ZopeTestCase
from zope.testing.doctest import INTERPRET_FOOTNOTES
from zope.testing.loggingsupport import InstalledHandler
import doctest
import random
import unittest
import logging
from five.taskqueue import service
ZopeTestCase.installProduct('Five')
def _... | src/five/taskqueue/tests/test_doctests.py | __docformat__ = "reStructuredText"
from Testing import ZopeTestCase
from zope.testing.doctest import INTERPRET_FOOTNOTES
from zope.testing.loggingsupport import InstalledHandler
import doctest
import random
import unittest
import logging
from five.taskqueue import service
ZopeTestCase.installProduct('Five')
def _... | 0.464416 | 0.135175 |
import logging
from oidcmsg import oauth2
from oidcmsg.time_util import utc_time_sans_frac
from oidcendpoint.endpoint import Endpoint
LOGGER = logging.getLogger(__name__)
class Introspection(Endpoint):
"""Implements RFC 7662"""
request_cls = oauth2.TokenIntrospectionRequest
response_cls = oauth2.Token... | src/oidcendpoint/oauth2/introspection.py | import logging
from oidcmsg import oauth2
from oidcmsg.time_util import utc_time_sans_frac
from oidcendpoint.endpoint import Endpoint
LOGGER = logging.getLogger(__name__)
class Introspection(Endpoint):
"""Implements RFC 7662"""
request_cls = oauth2.TokenIntrospectionRequest
response_cls = oauth2.Token... | 0.536313 | 0.076236 |
import os
import numpy as np
import matplotlib.pyplot as plt
import argparse
from wordcloud import WordCloud
from methods import RandomQuery, Tiara, TiaraS, EPSGreedy, UCB
from environments import get_class_ids, get_env
from utils import load_glove
def save_array(opt, budget, env_name, method_name, class_id, seed):... | evaluate.py | import os
import numpy as np
import matplotlib.pyplot as plt
import argparse
from wordcloud import WordCloud
from methods import RandomQuery, Tiara, TiaraS, EPSGreedy, UCB
from environments import get_class_ids, get_env
from utils import load_glove
def save_array(opt, budget, env_name, method_name, class_id, seed):... | 0.467818 | 0.219024 |
from django.contrib.auth.models import User
from rest_framework import status
from rest_framework.test import APITestCase
from rest_framework.reverse import reverse
from chigre.models import PubGallery
from chigre.serializers import PubGallerySerializer
# Create your tests here.
class PubGalleryCreateTest(APITestCas... | chigre/tests/test_pubgallery.py | from django.contrib.auth.models import User
from rest_framework import status
from rest_framework.test import APITestCase
from rest_framework.reverse import reverse
from chigre.models import PubGallery
from chigre.serializers import PubGallerySerializer
# Create your tests here.
class PubGalleryCreateTest(APITestCas... | 0.433622 | 0.16872 |
import re
import os
import tweepy
from tweepy import OAuthHandler
from textblob import TextBlob
class TwitterRequest(object):
"""docstring for TwitterRequest"""
def __init__(self):
ckey = "<KEY>"
csecret = os.environ['CON_SECRET']
atoken = "<KEY>"
asecret = os.environ['ACC_SECR... | mood_bot/mood_bot/scripts/twitter.py | import re
import os
import tweepy
from tweepy import OAuthHandler
from textblob import TextBlob
class TwitterRequest(object):
"""docstring for TwitterRequest"""
def __init__(self):
ckey = "<KEY>"
csecret = os.environ['CON_SECRET']
atoken = "<KEY>"
asecret = os.environ['ACC_SECR... | 0.196633 | 0.142739 |
from math import sqrt, pow, fabs
DBL_MAX = 1.7976931348623158e+308 #taken from Visual C++
DBL_EPS = 0.0000000000001
def euclidean_distance_coords(x1, y1, x2, y2):
return sqrt(pow(x2 - x1, 2) + pow(y2 - y1, 2))
def euclidean_distance_points(p1, p2):
return euclidean_distance_coords(p1.x(), p1.y(), p2.x()... | utils/math_utils.py | from math import sqrt, pow, fabs
DBL_MAX = 1.7976931348623158e+308 #taken from Visual C++
DBL_EPS = 0.0000000000001
def euclidean_distance_coords(x1, y1, x2, y2):
return sqrt(pow(x2 - x1, 2) + pow(y2 - y1, 2))
def euclidean_distance_points(p1, p2):
return euclidean_distance_coords(p1.x(), p1.y(), p2.x()... | 0.581897 | 0.724663 |
import numpy as np
import pandas as pd
# train_x is the training data, train_y is the target values, and test_x is the test data
# stored in pandas DataFrames and Series (numpy arrays also used)
train = pd.read_csv('../input/sample-data/train_preprocessed_onehot.csv')
train_x = train.drop(['target'], axis=1)
train_y ... | ch06/ch06-04-filter.py | import numpy as np
import pandas as pd
# train_x is the training data, train_y is the target values, and test_x is the test data
# stored in pandas DataFrames and Series (numpy arrays also used)
train = pd.read_csv('../input/sample-data/train_preprocessed_onehot.csv')
train_x = train.drop(['target'], axis=1)
train_y ... | 0.58166 | 0.432663 |
import json
import os
import sys
from colorama import Fore, Back, Style
class ConfigFieldMissing(Exception):
pass
class Config(dict):
def checkField( self, name, default=None, hasDefault=False, valuesList=None):
if default is not None:
hasDefault = True
if name in self:
... | onshape_to_robot/config.py | import json
import os
import sys
from colorama import Fore, Back, Style
class ConfigFieldMissing(Exception):
pass
class Config(dict):
def checkField( self, name, default=None, hasDefault=False, valuesList=None):
if default is not None:
hasDefault = True
if name in self:
... | 0.19787 | 0.080177 |
import paho.mqtt.client as mqtt
import time
import urllib3
from urllib.parse import quote
import signal
import sys
# Conf
broker = "10.0.0.1"
conf = {1 : "/etc/motioneye/camera-1.conf", 2: "/etc/motioneye/camera-2.conf", 3 : "/etc/motioneye/camera-3.conf", 4 : "/etc/motioneye/camera-4.conf"}
outdoortemptopic = "weath... | motion-temperature.py |
import paho.mqtt.client as mqtt
import time
import urllib3
from urllib.parse import quote
import signal
import sys
# Conf
broker = "10.0.0.1"
conf = {1 : "/etc/motioneye/camera-1.conf", 2: "/etc/motioneye/camera-2.conf", 3 : "/etc/motioneye/camera-3.conf", 4 : "/etc/motioneye/camera-4.conf"}
outdoortemptopic = "weath... | 0.219672 | 0.089654 |
import numpy as np
from utils.cython_bbox import bbox_overlaps
from mnc_config import cfg
def compute_targets(rois, overlaps, labels):
"""
Compute bounding-box regression targets for an image.
"""
# Indices of ground-truth ROIs
gt_inds = np.where(overlaps == 1)[0]
# Indices of examples for wh... | lib/transform/bbox_transform.py |
import numpy as np
from utils.cython_bbox import bbox_overlaps
from mnc_config import cfg
def compute_targets(rois, overlaps, labels):
"""
Compute bounding-box regression targets for an image.
"""
# Indices of ground-truth ROIs
gt_inds = np.where(overlaps == 1)[0]
# Indices of examples for wh... | 0.866641 | 0.683532 |
import logging
from typing import Optional
import requests
from .apipath import APIPath
LOG = logging.getLogger(__name__)
class RocketChat(object):
"""
Python interface to the RocketChat REST API.
"""
def __init__(
self, url: str, username: Optional[str] = None, password: Optional[str] = N... | rocketchat/rocketchat.py | import logging
from typing import Optional
import requests
from .apipath import APIPath
LOG = logging.getLogger(__name__)
class RocketChat(object):
"""
Python interface to the RocketChat REST API.
"""
def __init__(
self, url: str, username: Optional[str] = None, password: Optional[str] = N... | 0.810254 | 0.078395 |
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, DecimalField, DateTimeField, SelectField, IntegerField
from wtforms.validators import DataRequired, Length, Optional, ValidationError
from wtforms.widgets import html_params, HTMLString
import datetime
from capital_gains_loss.models import Tr... | capital_gains_loss/transactions/forms.py | from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField, DecimalField, DateTimeField, SelectField, IntegerField
from wtforms.validators import DataRequired, Length, Optional, ValidationError
from wtforms.widgets import html_params, HTMLString
import datetime
from capital_gains_loss.models import Tr... | 0.634996 | 0.147463 |
import os
import unittest
import requests
from cereal import car
from tools.lib.logreader import LogReader
from opendbc.can.parser import CANParser
from selfdrive.car.honda.values import CAR as HONDA
from selfdrive.car.honda.interface import CarInterface as HondaCarInterface
from selfdrive.car.honda.carcontroller im... | selfdrive/car/tests/test_carstates.py | import os
import unittest
import requests
from cereal import car
from tools.lib.logreader import LogReader
from opendbc.can.parser import CANParser
from selfdrive.car.honda.values import CAR as HONDA
from selfdrive.car.honda.interface import CarInterface as HondaCarInterface
from selfdrive.car.honda.carcontroller im... | 0.251556 | 0.176246 |
from __future__ import unicode_literals
from nose.plugins.attrib import attr
from mogwai.connection import MogwaiQueryError
from mogwai.tests.base import BaseMogwaiTestCase
from mogwai.models import Query, IN, OUT, Edge, Vertex, GREATER_THAN
from mogwai.properties import Integer, Double
class MockVertex(object):
... | mogwai/tests/models/vertex_queries_tests.py | from __future__ import unicode_literals
from nose.plugins.attrib import attr
from mogwai.connection import MogwaiQueryError
from mogwai.tests.base import BaseMogwaiTestCase
from mogwai.models import Query, IN, OUT, Edge, Vertex, GREATER_THAN
from mogwai.properties import Integer, Double
class MockVertex(object):
... | 0.801392 | 0.504578 |
import torch.nn as nn
import torch.nn.functional as F
from base import BaseModel
from math import ceil
import sys
sys.path.append("..")
from models import quant_module_1d as qm
import json
import torch
import pandas as pd
def TCN_network(**kwargs):
if kwargs['quantization'] == 'False':
return TCN_network_... | precision_search/model/TCN_variants.py |
import torch.nn as nn
import torch.nn.functional as F
from base import BaseModel
from math import ceil
import sys
sys.path.append("..")
from models import quant_module_1d as qm
import json
import torch
import pandas as pd
def TCN_network(**kwargs):
if kwargs['quantization'] == 'False':
return TCN_network_... | 0.72952 | 0.389953 |
from flask import Flask, redirect, render_template, request, url_for, session
from flask.ext.sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config["DEBUG"] = True
SQLALCHEMY_DATABASE_URI = "mysql+mysqlconnector://{username}:{password}@{hostname}/{databasename}".format(
username="akshu",
password="<PASS... | flask_app.py |
from flask import Flask, redirect, render_template, request, url_for, session
from flask.ext.sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config["DEBUG"] = True
SQLALCHEMY_DATABASE_URI = "mysql+mysqlconnector://{username}:{password}@{hostname}/{databasename}".format(
username="akshu",
password="<PASS... | 0.30054 | 0.046141 |
import numpy as np
from gd import *
from sgd import *
from costs import *
def least_squares_GD(y, tx, initial_w,
max_it, gamma, verbose=False):
"""Linear Regression with Gradient Descent
Uses Mean Squared Error as the loss function.
"""
losses, ws = gradient_descent(
y=y... | project1/utils/implementations.py | import numpy as np
from gd import *
from sgd import *
from costs import *
def least_squares_GD(y, tx, initial_w,
max_it, gamma, verbose=False):
"""Linear Regression with Gradient Descent
Uses Mean Squared Error as the loss function.
"""
losses, ws = gradient_descent(
y=y... | 0.889769 | 0.440951 |
import grpc
from .....exabel.api.management.v1 import user_service_pb2 as exabel_dot_api_dot_management_dot_v1_dot_user__service__pb2
class UserServiceStub(object):
"""Service to manage users and groups.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Ch... | exabel_data_sdk/stubs/exabel/api/management/v1/user_service_pb2_grpc.py | import grpc
from .....exabel.api.management.v1 import user_service_pb2 as exabel_dot_api_dot_management_dot_v1_dot_user__service__pb2
class UserServiceStub(object):
"""Service to manage users and groups.
"""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Ch... | 0.552298 | 0.045247 |
import sys
import cPickle
import sklearn
from sklearn.model_selection import train_test_split
from sklearn import metrics
from data import get_data, reload_file
from classifiers import create_classifier, calculate_model_accuracy
__author__ = "<NAME> and <NAME>, based on code by <NAME> for COMPSCI 270, Spring 2017, Duk... | main.py | import sys
import cPickle
import sklearn
from sklearn.model_selection import train_test_split
from sklearn import metrics
from data import get_data, reload_file
from classifiers import create_classifier, calculate_model_accuracy
__author__ = "<NAME> and <NAME>, based on code by <NAME> for COMPSCI 270, Spring 2017, Duk... | 0.315525 | 0.293556 |
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
from bitmovin_api_sdk.models.bitmovin_resource import BitmovinResource
import pprint
import six
class Keyframe(BitmovinResource):
@poscheck_model
def __init__(self,
id_=N... | bitmovin_api_sdk/models/keyframe.py |
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
from bitmovin_api_sdk.models.bitmovin_resource import BitmovinResource
import pprint
import six
class Keyframe(BitmovinResource):
@poscheck_model
def __init__(self,
id_=N... | 0.840913 | 0.17172 |
from datetime import timedelta as td
from django.conf import settings
from django.conf.urls.defaults import url, patterns, include
from django.contrib.auth.forms import PasswordChangeForm
from django.shortcuts import get_object_or_404
from canvas.exceptions import ServiceError, ValidationError
from canvas.models impo... | website/drawquest/api.py | from datetime import timedelta as td
from django.conf import settings
from django.conf.urls.defaults import url, patterns, include
from django.contrib.auth.forms import PasswordChangeForm
from django.shortcuts import get_object_or_404
from canvas.exceptions import ServiceError, ValidationError
from canvas.models impo... | 0.340595 | 0.054374 |
import inspect
from typing import Any
from typing import Callable
from typing import NamedTuple
from typing import Optional
from typing import Union
from dataclasses import dataclass
import jax
import jax.numpy as jnp
from jaxopt._src import base
from jaxopt._src.tree_util import tree_add_scalar_mul
from jaxopt._sr... | jaxopt/_src/mirror_descent.py | import inspect
from typing import Any
from typing import Callable
from typing import NamedTuple
from typing import Optional
from typing import Union
from dataclasses import dataclass
import jax
import jax.numpy as jnp
from jaxopt._src import base
from jaxopt._src.tree_util import tree_add_scalar_mul
from jaxopt._sr... | 0.950146 | 0.54952 |
import tensorflow as tf
import argparse
import os
from contextlib import nullcontext
import yaml
from tqdm import tqdm
from animate import animate
from reconstruction import reconstruction
from utils import load_image_video_pair, save_video, save_visualization, load_models_direct, load_models_savedmodel, load_models_tf... | run.py | import tensorflow as tf
import argparse
import os
from contextlib import nullcontext
import yaml
from tqdm import tqdm
from animate import animate
from reconstruction import reconstruction
from utils import load_image_video_pair, save_video, save_visualization, load_models_direct, load_models_savedmodel, load_models_tf... | 0.552057 | 0.097562 |
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.db.models import Sum
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, redirect, render
from django.views.generic import DetailView, ListView
from foodgram.... | recipes/views.py | from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.db.models import Sum
from django.http import HttpResponse
from django.shortcuts import get_object_or_404, redirect, render
from django.views.generic import DetailView, ListView
from foodgram.... | 0.404625 | 0.116186 |
import json, pytest, uuid
from tests.constants import TEST_PERMIT_GUID_1, TEST_MINE_GUID, DUMMY_USER_KWARGS
from app.api.permits.permit_amendment.models.permit_amendment_document import PermitAmendmentDocument
from app.api.permits.permit_amendment.models.permit_amendment import PermitAmendment
from app.api.permits.per... | python-backend/tests/permit/resources/test_permit_amendment_document_resource.py | import json, pytest, uuid
from tests.constants import TEST_PERMIT_GUID_1, TEST_MINE_GUID, DUMMY_USER_KWARGS
from app.api.permits.permit_amendment.models.permit_amendment_document import PermitAmendmentDocument
from app.api.permits.permit_amendment.models.permit_amendment import PermitAmendment
from app.api.permits.per... | 0.359027 | 0.283056 |
import numpy as np
import matplotlib.pyplot as plt
from dataset.mnist import load_mnist
from practice.weight_initialization.multi_layer_net import MultiLayerNet
from practice.optimizers import RMSProp, SGD
(X_all_train, y_all_train), (X_test, y_test) = load_mnist(one_hot_label=True)
node_size = 100
layer_size = 5
out... | practice/weight_initialization/weight_initialization_experiment_mnist.py | import numpy as np
import matplotlib.pyplot as plt
from dataset.mnist import load_mnist
from practice.weight_initialization.multi_layer_net import MultiLayerNet
from practice.optimizers import RMSProp, SGD
(X_all_train, y_all_train), (X_test, y_test) = load_mnist(one_hot_label=True)
node_size = 100
layer_size = 5
out... | 0.739705 | 0.614278 |
import os
import time
import datetime
from urllib import urlencode
from cyclone import httpclient
from toughlib import utils,dispatch,logger
from toughlib import apiutils
from twisted.internet import reactor,defer
from toughradius.manage.events.event_basic import BasicEvent
from toughradius.manage.settings import TOUGH... | toughradius/manage/events/account_expire_notify.py | import os
import time
import datetime
from urllib import urlencode
from cyclone import httpclient
from toughlib import utils,dispatch,logger
from toughlib import apiutils
from twisted.internet import reactor,defer
from toughradius.manage.events.event_basic import BasicEvent
from toughradius.manage.settings import TOUGH... | 0.21892 | 0.052936 |
import socket, select, string, sys, base64
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def prompt(usuario) :
sys.stdout.write(bcolors.OKBLUE + '<' + usua... | Practicas/P2/Ejercicio5/cliente.py |
import socket, select, string, sys, base64
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
def prompt(usuario) :
sys.stdout.write(bcolors.OKBLUE + '<' + usua... | 0.04598 | 0.080357 |
import os
import django.conf
from django.test import TestCase
from django.core.files.uploadedfile import UploadedFile
from django import forms
from document_catalogue import models
from . import base
# Create tests for models here.
class CategoryTests(TestCase):
"""
Test basic behaviours for DocumentCat... | document_catalogue/tests/test_models.py | import os
import django.conf
from django.test import TestCase
from django.core.files.uploadedfile import UploadedFile
from django import forms
from document_catalogue import models
from . import base
# Create tests for models here.
class CategoryTests(TestCase):
"""
Test basic behaviours for DocumentCat... | 0.505615 | 0.292008 |
from __future__ import absolute_import
from __future__ import unicode_literals
import sys
import os
ROOT_DIR = os.getenv('PLASTICC_DIR')
WORK_DIR = os.path.join(ROOT_DIR, 'plasticc')
DATA_DIR = os.path.join(ROOT_DIR, 'plasticc_data')
sys.path.append(WORK_DIR)
import numpy as np
import plasticc
import plasticc.get_dat... | bin/make_extinction_comp_plot.py | from __future__ import absolute_import
from __future__ import unicode_literals
import sys
import os
ROOT_DIR = os.getenv('PLASTICC_DIR')
WORK_DIR = os.path.join(ROOT_DIR, 'plasticc')
DATA_DIR = os.path.join(ROOT_DIR, 'plasticc_data')
sys.path.append(WORK_DIR)
import numpy as np
import plasticc
import plasticc.get_dat... | 0.239794 | 0.101456 |
from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Neighborhood(models.Model):
hoodname = models.TextField(max_length=500)
hoodlocation=models.TextField(max_length=500)
# admin = models.ForeignKey(Profile,on_delete=models.CASCADE)
pic=models.Image... | hood/models.py | from django.db import models
from django.contrib.auth.models import User
# Create your models here.
class Neighborhood(models.Model):
hoodname = models.TextField(max_length=500)
hoodlocation=models.TextField(max_length=500)
# admin = models.ForeignKey(Profile,on_delete=models.CASCADE)
pic=models.Image... | 0.460532 | 0.102844 |
from common.tools.blockstring import BlockString
from common.tools.padders import PKCS7Padder, PKCS7Unpadder
from common.tools.xor import ByteXOR
class BlockCipherMode(object):
DEFAULT_BLOCK_SIZE = 16
@classmethod
def name(cls):
return cls.__name__
def __init__(self, b... | common/ciphers/block/modes.py | from common.tools.blockstring import BlockString
from common.tools.padders import PKCS7Padder, PKCS7Unpadder
from common.tools.xor import ByteXOR
class BlockCipherMode(object):
DEFAULT_BLOCK_SIZE = 16
@classmethod
def name(cls):
return cls.__name__
def __init__(self, b... | 0.719088 | 0.176672 |
import numpy as np
class BSpline:
def __init__(self):
self.ctrlPoint = dict()
def generate_control_point(self, points, points_offset=None):
assert(len(points) >= 2)
if points_offset is not None:
assert(len(points) == len(points_offset))
num_points = len(points)
... | skate_cma/BSpline.py | import numpy as np
class BSpline:
def __init__(self):
self.ctrlPoint = dict()
def generate_control_point(self, points, points_offset=None):
assert(len(points) >= 2)
if points_offset is not None:
assert(len(points) == len(points_offset))
num_points = len(points)
... | 0.518059 | 0.577019 |
import random
from faker import Faker
from sqlalchemy.exc import IntegrityError
from .models import Category, Post, Comment
from .models import Admin
from .extensions import db
fake = Faker('zh_CN')
def fake_admin():
admin = Admin(
username='admin',
blog_title='Blog',
blog_sub_title="No... | blog/blog/fakes.py | import random
from faker import Faker
from sqlalchemy.exc import IntegrityError
from .models import Category, Post, Comment
from .models import Admin
from .extensions import db
fake = Faker('zh_CN')
def fake_admin():
admin = Admin(
username='admin',
blog_title='Blog',
blog_sub_title="No... | 0.281109 | 0.07056 |
import os
import re
import urllib
import json
from t0mm0.common.net import Net
from urlresolver.plugnplay.interfaces import UrlResolver
from urlresolver.plugnplay.interfaces import SiteAuth
from urlresolver.plugnplay.interfaces import PluginSettings
from urlresolver.plugnplay import Plugin
from urlresolver import commo... | script.module.urlresolver/lib/urlresolver/plugins/purevid.py | import os
import re
import urllib
import json
from t0mm0.common.net import Net
from urlresolver.plugnplay.interfaces import UrlResolver
from urlresolver.plugnplay.interfaces import SiteAuth
from urlresolver.plugnplay.interfaces import PluginSettings
from urlresolver.plugnplay import Plugin
from urlresolver import commo... | 0.166269 | 0.046703 |
import pyglet
from pyglet.gl import *
joysticks = pyglet.input.get_joysticks()
assert joysticks, 'No joystick device is connected'
joystick = joysticks[0]
joystick.open()
window = pyglet.window.Window(width=800, height=800)
batch = pyglet.graphics.Batch()
# Labels
pyglet.text.Label("Buttons:", x=15, y=window.height... | examples/input/joystick.py |
import pyglet
from pyglet.gl import *
joysticks = pyglet.input.get_joysticks()
assert joysticks, 'No joystick device is connected'
joystick = joysticks[0]
joystick.open()
window = pyglet.window.Window(width=800, height=800)
batch = pyglet.graphics.Batch()
# Labels
pyglet.text.Label("Buttons:", x=15, y=window.height... | 0.317638 | 0.400456 |
import os
import click
from ....click.coroutine import coroutine
from ....click.docker import DockerPathExists, wrap_docker
from ....click.lazy import lazy_import
from ....click.mutex import MutexOption, ValidateMutex
lazy_import(
globals(),
"""
from ....click.validators import validate_validators
from ....... | iaso/cli/curate/start/resources.py | import os
import click
from ....click.coroutine import coroutine
from ....click.docker import DockerPathExists, wrap_docker
from ....click.lazy import lazy_import
from ....click.mutex import MutexOption, ValidateMutex
lazy_import(
globals(),
"""
from ....click.validators import validate_validators
from ....... | 0.451085 | 0.115611 |
from typing import Optional, TYPE_CHECKING
from dataclasses import dataclass, asdict
from cloudfoundry_client.v3.entities import Entity, EntityManager, ToManyRelationship
if TYPE_CHECKING:
from cloudfoundry_client.client import CloudFoundryClient
@dataclass
class AppsQuota:
total_memory_in_mb: int
per_p... | main/cloudfoundry_client/v3/organization_quotas.py | from typing import Optional, TYPE_CHECKING
from dataclasses import dataclass, asdict
from cloudfoundry_client.v3.entities import Entity, EntityManager, ToManyRelationship
if TYPE_CHECKING:
from cloudfoundry_client.client import CloudFoundryClient
@dataclass
class AppsQuota:
total_memory_in_mb: int
per_p... | 0.906805 | 0.18628 |
from get_user import read_ibutton, get_user_song
from flask import Flask, request, jsonify
from ntpath import basename
import sqlite3
import argparse
app = Flask(__name__)
def create_user_dict():
conn = sqlite3.connect('/harold/Harold/harold_api.db')
c = conn.cursor()
user_dict = {}
for row in c.exe... | Harold/api.py | from get_user import read_ibutton, get_user_song
from flask import Flask, request, jsonify
from ntpath import basename
import sqlite3
import argparse
app = Flask(__name__)
def create_user_dict():
conn = sqlite3.connect('/harold/Harold/harold_api.db')
c = conn.cursor()
user_dict = {}
for row in c.exe... | 0.242744 | 0.064565 |
from typing import Optional, Dict, List
import argparse
from pathlib import Path
import numpy as np
import pandas as pd
from scanpy.tools import score_genes
from scTenifold.data._sim import *
def adobo_score(X,
genes,
n_bins: int = 25,
n_ctrl: int = 50,
... | scTenifold/cell_cycle/scoring.py | from typing import Optional, Dict, List
import argparse
from pathlib import Path
import numpy as np
import pandas as pd
from scanpy.tools import score_genes
from scTenifold.data._sim import *
def adobo_score(X,
genes,
n_bins: int = 25,
n_ctrl: int = 50,
... | 0.724773 | 0.371678 |
from app import db
class Plex(db.Model):
__tablename__ = 'plex_utills'
# plex and docker config
id = db.Column(db.Integer, primary_key=True)
plexurl = db.Column(db.String)
token = db.Column(db.String)
filmslibrary = db.Column(db.String)
library3d = db.Column(db.String)
plexp... | app/models.py | from app import db
class Plex(db.Model):
__tablename__ = 'plex_utills'
# plex and docker config
id = db.Column(db.Integer, primary_key=True)
plexurl = db.Column(db.String)
token = db.Column(db.String)
filmslibrary = db.Column(db.String)
library3d = db.Column(db.String)
plexp... | 0.439507 | 0.042942 |
import pygrtest_common
import pygr.Data
import random
import unittest
from nosebase import *
from pygr import sequence
class Conserve_Suite(unittest.TestCase):
def exonquery_megatest(self):
def printConservation(id,label,site):
if msa.seqs.IDdict: # skip if alignment is ... | tests/oldtests/blast_test.py | import pygrtest_common
import pygr.Data
import random
import unittest
from nosebase import *
from pygr import sequence
class Conserve_Suite(unittest.TestCase):
def exonquery_megatest(self):
def printConservation(id,label,site):
if msa.seqs.IDdict: # skip if alignment is ... | 0.095328 | 0.316369 |
from typing import Tuple
import torch
from cubework.distributed import ParallelManager as pm
from cubework.distributed import all_gather, all_reduce, broadcast, reduce, reduce_scatter
from cubework.distributed.utils import ParallelMode
from cubework.global_vars import env
from torch import Tensor
from torch.cuda.amp i... | cubework/module/parallel_3d/_utils.py | from typing import Tuple
import torch
from cubework.distributed import ParallelManager as pm
from cubework.distributed import all_gather, all_reduce, broadcast, reduce, reduce_scatter
from cubework.distributed.utils import ParallelMode
from cubework.global_vars import env
from torch import Tensor
from torch.cuda.amp i... | 0.912251 | 0.28258 |
from django.urls import (path, include)
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from rest_framework.authtoken.views import obtain_auth_token
from .views import login_view
from apps.Localizr.views import (
locale_list_view,
locale_detail_view,... | project/urls.py | from django.urls import (path, include)
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from rest_framework.authtoken.views import obtain_auth_token
from .views import login_view
from apps.Localizr.views import (
locale_list_view,
locale_detail_view,... | 0.221098 | 0.04807 |
from TicTacToe import TicTacToe
from copy import deepcopy
from math import log, sqrt
from random import choice as rndchoice
import time
class GameTree:
def __init__(self, s, par_node=None, pre_action=None):
self.parent = par_node
self.pre_action = pre_action
self.child = []
self.r =... | chapter10/TicTacToe/mcts.py | from TicTacToe import TicTacToe
from copy import deepcopy
from math import log, sqrt
from random import choice as rndchoice
import time
class GameTree:
def __init__(self, s, par_node=None, pre_action=None):
self.parent = par_node
self.pre_action = pre_action
self.child = []
self.r =... | 0.541409 | 0.301221 |