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 requests # pip install requests
import json
import execjs # pip install PyExecJS
import urllib3 # pip install urllib3
'''
author by Benji
date at 2018.12.07
实现: 模拟浏览器中Google翻译的url请求
不同于Baidu直接给出API, Google翻译需要调用其封装的lib
参考: https://www.jianshu.com/p/95cf6e73d6ee
https://cloud.google.com/trans... | Python/Exercise/Exercise_2018/Translate/googleTranslate.py |
import requests # pip install requests
import json
import execjs # pip install PyExecJS
import urllib3 # pip install urllib3
'''
author by Benji
date at 2018.12.07
实现: 模拟浏览器中Google翻译的url请求
不同于Baidu直接给出API, Google翻译需要调用其封装的lib
参考: https://www.jianshu.com/p/95cf6e73d6ee
https://cloud.google.com/trans... | 0.330471 | 0.189465 |
import os
from shutil import copyfile
from PyQt6.QtCore import Qt
from PyQt6.QtTest import QTest
from PyQt6.QtWidgets import QApplication
from password_manager.application_context import ApplicationContext
from password_manager.utils.file_helper import FileHelper
class SystemTestFixture:
def __init__(self, dela... | system_tests/fixture.py | import os
from shutil import copyfile
from PyQt6.QtCore import Qt
from PyQt6.QtTest import QTest
from PyQt6.QtWidgets import QApplication
from password_manager.application_context import ApplicationContext
from password_manager.utils.file_helper import FileHelper
class SystemTestFixture:
def __init__(self, dela... | 0.3295 | 0.075961 |
import math
print ('----Math functions loaded up---- \nEnter \'list_functions()\' to display available functions')
def list_functions():
print ('intoRadians()')
print ('intoDegrees()')
print ('LOS()')
print ('vectorProduct()')
print ('vectorMag()')
def intoRadians():
degrees = float(input('En... | Math Functions/math functions.py | import math
print ('----Math functions loaded up---- \nEnter \'list_functions()\' to display available functions')
def list_functions():
print ('intoRadians()')
print ('intoDegrees()')
print ('LOS()')
print ('vectorProduct()')
print ('vectorMag()')
def intoRadians():
degrees = float(input('En... | 0.452536 | 0.439206 |
import struct
def write_instruction(instruction):
pass
def calculate_file_size(numbers_data):
number_point = numbers_data[0]
number_instructions = numbers_data[1]
number_pois = numbers_data[2]
#size of header adapted to obtain expected number, counted value was 139, need to understan where diff... | source/fit_encode.py | import struct
def write_instruction(instruction):
pass
def calculate_file_size(numbers_data):
number_point = numbers_data[0]
number_instructions = numbers_data[1]
number_pois = numbers_data[2]
#size of header adapted to obtain expected number, counted value was 139, need to understan where diff... | 0.412648 | 0.501221 |
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from src.fake_news_detector.core.classification.models import ClassificationModel
def split_dataset(X, y):
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
# Normalize
scaler = Min... | src/fake_news_detector/core/classification/sub_classifications.py | from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from src.fake_news_detector.core.classification.models import ClassificationModel
def split_dataset(X, y):
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
# Normalize
scaler = Min... | 0.812272 | 0.606644 |
from __future__ import absolute_import
import logging
import sys
import math
import os.path as op
from pbcommand.pb_io import write_pipeline_chunks
from pbcommand.models import FileTypes, PipelineChunk
from pbcoretools.datastore_utils import dataset_to_datastore, datastore_to_datastorefile_objs
from .align_json_to_s... | SLpackage/private/pacbio/pythonpkgs/pbsvtools/lib/python2.7/site-packages/pbsvtools/tasks/scatter_align_json_to_svsig.py | from __future__ import absolute_import
import logging
import sys
import math
import os.path as op
from pbcommand.pb_io import write_pipeline_chunks
from pbcommand.models import FileTypes, PipelineChunk
from pbcoretools.datastore_utils import dataset_to_datastore, datastore_to_datastorefile_objs
from .align_json_to_s... | 0.490724 | 0.279964 |
import binascii
import rsa
import base64
import requests
import re
import json
def prelogin():
url="https://login.sina.com.cn/sso/prelogin.php?entry=account&callback=sinaSSOController.preloginCallBack&su=MTU2MjAxNTE0NzU%3D&rsakt=mod&client=ssologin.js(v1.4.15)&_=1476186181803"
html=requests.get(url).text
j... | weibo_mine_hot/Refresh_cookie.py | import binascii
import rsa
import base64
import requests
import re
import json
def prelogin():
url="https://login.sina.com.cn/sso/prelogin.php?entry=account&callback=sinaSSOController.preloginCallBack&su=MTU2MjAxNTE0NzU%3D&rsakt=mod&client=ssologin.js(v1.4.15)&_=1476186181803"
html=requests.get(url).text
j... | 0.199932 | 0.124719 |
from kubernetes.client import CoreV1Api
from app.models.user import User
from app.models.route import RouteItem
dashboard_route = RouteItem(**{
'path': '/dashboard',
'name': 'Dashboard',
'component': 'LAYOUT',
'redirect': '/dashboard/overview',
'meta': {
"title": 'routes.adminDashboard.das... | app/core/route_admin.py | from kubernetes.client import CoreV1Api
from app.models.user import User
from app.models.route import RouteItem
dashboard_route = RouteItem(**{
'path': '/dashboard',
'name': 'Dashboard',
'component': 'LAYOUT',
'redirect': '/dashboard/overview',
'meta': {
"title": 'routes.adminDashboard.das... | 0.412648 | 0.130009 |
import unittest
import libyang
import asyncio
import logging
import time
import itertools
from multiprocessing import Process, Queue
from goldstone.lib.connector.sysrepo import Connector
from goldstone.lib.server_connector import create_server_connector
from goldstone.lib.errors import *
from goldstone.lib.util import... | src/xlate/openconfig/tests/test.py | import unittest
import libyang
import asyncio
import logging
import time
import itertools
from multiprocessing import Process, Queue
from goldstone.lib.connector.sysrepo import Connector
from goldstone.lib.server_connector import create_server_connector
from goldstone.lib.errors import *
from goldstone.lib.util import... | 0.428712 | 0.135919 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from .aspp import ASPP_Module
up_kwargs = {'mode': 'bilinear', 'align_corners': False}
norm_layer = nn.BatchNorm2d
class _ConvBNReLU(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0,
di... | models/head/aspp_plus.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from .aspp import ASPP_Module
up_kwargs = {'mode': 'bilinear', 'align_corners': False}
norm_layer = nn.BatchNorm2d
class _ConvBNReLU(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1, padding=0,
di... | 0.928878 | 0.360433 |
import time
import unittest
from inoft_vocal_framework.audio_editing.audioclip import AudioBlock
class MyTestCase(unittest.TestCase):
def test_something(self):
start = time.time()
audio_block_1 = AudioBlock()
audio_block_1.create_track()
"""river_track = Track(is_primary=False, l... | tests/audio_engine/test_audio_editing.py | import time
import unittest
from inoft_vocal_framework.audio_editing.audioclip import AudioBlock
class MyTestCase(unittest.TestCase):
def test_something(self):
start = time.time()
audio_block_1 = AudioBlock()
audio_block_1.create_track()
"""river_track = Track(is_primary=False, l... | 0.291384 | 0.239744 |
r'''A data-parallel Mean metric.
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import ma... | hybridbackend/tensorflow/metrics/mean.py |
r'''A data-parallel Mean metric.
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import ma... | 0.938738 | 0.510802 |
Copyright (c) 2017, WinQuant Information and Technology Co. Ltd.
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 li... | api/stocks.py | Copyright (c) 2017, WinQuant Information and Technology Co. Ltd.
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 li... | 0.807271 | 0.184327 |
from datetime import timedelta
from unittest.mock import patch
from django.conf import settings
from django.utils.timezone import now
from django.utils.translation import override
from factory import create_batch
from libya_elections.constants import PHONE_NOT_ACTIVATED, NOT_WHITELISTED_NUMBER, \
POLLING_REPORT_C... | polling_reports/tests/test_logic.py | from datetime import timedelta
from unittest.mock import patch
from django.conf import settings
from django.utils.timezone import now
from django.utils.translation import override
from factory import create_batch
from libya_elections.constants import PHONE_NOT_ACTIVATED, NOT_WHITELISTED_NUMBER, \
POLLING_REPORT_C... | 0.633637 | 0.230627 |
from __future__ import print_function, division
import numpy as np
import operator
from qsrlib_qsrs.qsr_arg_relations_abstractclass import QSR_Arg_Relations_Abstractclass
from qsrlib_io.world_qsr_trace import *
class QSR_Arg_Relations_Distance(QSR_Arg_Relations_Abstractclass):
"""Argument distance relations.
... | qsrlib/src/qsrlib_qsrs/qsr_arg_relations_distance.py | from __future__ import print_function, division
import numpy as np
import operator
from qsrlib_qsrs.qsr_arg_relations_abstractclass import QSR_Arg_Relations_Abstractclass
from qsrlib_io.world_qsr_trace import *
class QSR_Arg_Relations_Distance(QSR_Arg_Relations_Abstractclass):
"""Argument distance relations.
... | 0.697609 | 0.408778 |
from mayavi import mlab
from BDSpace import Space
from BDSpace.Figure.Sphere import *
from BDSpace.Curve.Parametric import Arc
from BDSpace.Coordinates import Cartesian
import BDSpaceVis as Visual
solar_system = Space('Solar System')
sun = Sphere('Sun', r_outer=0.2)
mercury = Space('Mercury', Cartesian(origin=[0.5,... | demo/05_space_visualization_planets.py | from mayavi import mlab
from BDSpace import Space
from BDSpace.Figure.Sphere import *
from BDSpace.Curve.Parametric import Arc
from BDSpace.Coordinates import Cartesian
import BDSpaceVis as Visual
solar_system = Space('Solar System')
sun = Sphere('Sun', r_outer=0.2)
mercury = Space('Mercury', Cartesian(origin=[0.5,... | 0.546738 | 0.529203 |
import time
from core.utils.const import SQLTuning
import logging
from core.utils.engines import get_engine
from rest_framework.response import Response
from core.utils.sql_utils import extract_tables
CUSTOM_ERROR = logging.getLogger('SqlManager.core.sql_tuning')
import re
class SqlTuning(object):
def __init__(se... | src/core/api/sql_tuning.py |
import time
from core.utils.const import SQLTuning
import logging
from core.utils.engines import get_engine
from rest_framework.response import Response
from core.utils.sql_utils import extract_tables
CUSTOM_ERROR = logging.getLogger('SqlManager.core.sql_tuning')
import re
class SqlTuning(object):
def __init__(se... | 0.395835 | 0.121816 |
import os
import logging
from distutils import log
from distutils.util import byte_compile
from distutils.dir_util import remove_tree, mkpath, copy_tree
from distutils.file_util import copy_file
from distutils.sysconfig import get_python_version
from distutils.command.bdist import bdist
from . import COMMON_USER_OPTI... | cpydist/bdist.py | import os
import logging
from distutils import log
from distutils.util import byte_compile
from distutils.dir_util import remove_tree, mkpath, copy_tree
from distutils.file_util import copy_file
from distutils.sysconfig import get_python_version
from distutils.command.bdist import bdist
from . import COMMON_USER_OPTI... | 0.499756 | 0.106365 |
from django.conf.urls import url
from . import views
app_name = "containertemplates"
urlpatterns = [
url(
regex=r"^site$",
view=views.ContainerTemplateSiteListView.as_view(),
name="site-list",
),
url(
regex=r"^site/detail/(?P<containertemplatesite>[0-9a-f-]+)$",
... | containertemplates/urls.py | from django.conf.urls import url
from . import views
app_name = "containertemplates"
urlpatterns = [
url(
regex=r"^site$",
view=views.ContainerTemplateSiteListView.as_view(),
name="site-list",
),
url(
regex=r"^site/detail/(?P<containertemplatesite>[0-9a-f-]+)$",
... | 0.336222 | 0.192805 |
import re
import logging
from typing import TextIO
from typing import Optional
from typing import Sequence, Iterator, List, Dict
from gffpal.parsers.parsers import ParseError, LineParseError
from gffpal.parsers.parsers import MULTISPACE_REGEX
from gffpal.parsers.parsers import (
parse_int,
parse_float,
par... | gffpal/parsers/trnascan.py | import re
import logging
from typing import TextIO
from typing import Optional
from typing import Sequence, Iterator, List, Dict
from gffpal.parsers.parsers import ParseError, LineParseError
from gffpal.parsers.parsers import MULTISPACE_REGEX
from gffpal.parsers.parsers import (
parse_int,
parse_float,
par... | 0.778355 | 0.266486 |
from typing import Iterable, List, Optional
from sqlalchemy import Boolean, Column, ForeignKey, Integer, String, func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import declarative_base, relationship, selectinload
from vkbot... | vk_bot/db.py | from typing import Iterable, List, Optional
from sqlalchemy import Boolean, Column, ForeignKey, Integer, String, func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import declarative_base, relationship, selectinload
from vkbot... | 0.46393 | 0.12276 |
import dailyScript as daily
#create each of the days information that will be passed to the daily main script
def main():
#day1
d1_trans1 = ["login", "agent", "createAccount", "1234567", "Emma", "logout"]
#trans2 will print "Account doesn't exist"
d1_trans2 = ["login", "machine", "withdraw", "1234567",... | src/weeklyScript.py | import dailyScript as daily
#create each of the days information that will be passed to the daily main script
def main():
#day1
d1_trans1 = ["login", "agent", "createAccount", "1234567", "Emma", "logout"]
#trans2 will print "Account doesn't exist"
d1_trans2 = ["login", "machine", "withdraw", "1234567",... | 0.279828 | 0.379148 |
class BUIMask(object):
"""Mask client/servers based on user preferences or user ACL"""
def init_app(self, app):
"""Initialize the mask
:param app: Application context
:type app: :class:`burpui.engines.server.BUIServer`
"""
self.app = app
@property
def is_user_p... | burpui/filter.py | class BUIMask(object):
"""Mask client/servers based on user preferences or user ACL"""
def init_app(self, app):
"""Initialize the mask
:param app: Application context
:type app: :class:`burpui.engines.server.BUIServer`
"""
self.app = app
@property
def is_user_p... | 0.782829 | 0.177009 |
from data_structures.linked_lists.singly_linked_list import LinkedList
class DoublyListNode:
def __init__(self, value=None, next=None, previous=None):
self.value = value
self.next = next
self.previous = previous
class DoublyLinkedList(LinkedList):
def __init__(self, head=None, tail=N... | data_structures/linked_lists/doubly_linked_list.py | from data_structures.linked_lists.singly_linked_list import LinkedList
class DoublyListNode:
def __init__(self, value=None, next=None, previous=None):
self.value = value
self.next = next
self.previous = previous
class DoublyLinkedList(LinkedList):
def __init__(self, head=None, tail=N... | 0.619817 | 0.198646 |
from fbs_runtime import _state, FbsError
import os
import sys
def is_windows():
"""
Return True if the current OS is Windows, False otherwise.
"""
return name() == 'Windows'
def is_mac():
"""
Return True if the current OS is macOS, False otherwise.
"""
return name() == 'Mac'
def is_l... | venv/Lib/site-packages/fbs_runtime/platform.py | from fbs_runtime import _state, FbsError
import os
import sys
def is_windows():
"""
Return True if the current OS is Windows, False otherwise.
"""
return name() == 'Windows'
def is_mac():
"""
Return True if the current OS is macOS, False otherwise.
"""
return name() == 'Mac'
def is_l... | 0.306216 | 0.047558 |
import os
import re
import errno
import socket
import json
from chroma_agent.lib.shell import AgentShell
from toolz.functoolz import pipe
from toolz.itertoolz import getter
from toolz.curried import map as cmap, filter as cfilter, mapcat as cmapcat
import chroma_agent.lib.normalize_device_path as ndp
# Python errno ... | chroma-agent/chroma_agent/device_plugins/linux_components/block_devices.py |
import os
import re
import errno
import socket
import json
from chroma_agent.lib.shell import AgentShell
from toolz.functoolz import pipe
from toolz.itertoolz import getter
from toolz.curried import map as cmap, filter as cfilter, mapcat as cmapcat
import chroma_agent.lib.normalize_device_path as ndp
# Python errno ... | 0.471223 | 0.146973 |
import time
import numpy as np
from copy import deepcopy
import matplotlib.pyplot as plt
# Resistance in ohms of the resistor
r = 1
# Capacitance of the capacitor
C = 1
Vin = 10
b = 0
old_v2 = 0
delta_t = 5e-3
t = 5e-3
# Initial guess for the first step (literally doesn't matter)
input_vec = [10, 5, -2]
results ... | Initial Testing/Jacobian Capacitor Try.py |
import time
import numpy as np
from copy import deepcopy
import matplotlib.pyplot as plt
# Resistance in ohms of the resistor
r = 1
# Capacitance of the capacitor
C = 1
Vin = 10
b = 0
old_v2 = 0
delta_t = 5e-3
t = 5e-3
# Initial guess for the first step (literally doesn't matter)
input_vec = [10, 5, -2]
results ... | 0.451568 | 0.561215 |
from bs4 import BeautifulSoup
import requests
import re
import wget
from subprocess import call
import argparse
# https://sdl-stickershop.line.naver.jp/stickershop/v1/sticker/17941023/IOS/sticker_animation@2x.png
# https://sdl-stickershop.line.naver.jp/stickershop/v1/sticker/17941023/android/sticker.png
def striphtml(d... | line.py | from bs4 import BeautifulSoup
import requests
import re
import wget
from subprocess import call
import argparse
# https://sdl-stickershop.line.naver.jp/stickershop/v1/sticker/17941023/IOS/sticker_animation@2x.png
# https://sdl-stickershop.line.naver.jp/stickershop/v1/sticker/17941023/android/sticker.png
def striphtml(d... | 0.188287 | 0.071009 |
import datetime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, DateTime, Boolean, create_engine
Base = declarative_base()
engine = create_engine('sqlite:///db.db?check_same_thread=False')
class User(Base):
__tablename__ = 'user'
id = Column(Integer, p... | src/backend/models.py | import datetime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, DateTime, Boolean, create_engine
Base = declarative_base()
engine = create_engine('sqlite:///db.db?check_same_thread=False')
class User(Base):
__tablename__ = 'user'
id = Column(Integer, p... | 0.55447 | 0.113064 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | foodcartapp/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | 0.570451 | 0.132038 |
import core
# +---+ +---+
# | X | | Y |
# +---+ +---+
def bn_independent():
g = core.BayesNet()
g.add_nodes_from(['X', 'Y'])
return g
# +---+ +---+
# | X |---->| Y |
# +---+ +---+
def bn_dependent():
g = core.BayesNet()
g.add_nodes_from(['X', 'Y'])
g.add_edge('X', 'Y')
... | Bayesian Networks/gibbs sampling/examples_dsep.py | import core
# +---+ +---+
# | X | | Y |
# +---+ +---+
def bn_independent():
g = core.BayesNet()
g.add_nodes_from(['X', 'Y'])
return g
# +---+ +---+
# | X |---->| Y |
# +---+ +---+
def bn_dependent():
g = core.BayesNet()
g.add_nodes_from(['X', 'Y'])
g.add_edge('X', 'Y')
... | 0.53777 | 0.170335 |
import datetime
from django.core.management import call_command
from django.urls import reverse
from dateutil.relativedelta import relativedelta
from django.utils.timezone import now, get_current_timezone
from factory.fuzzy import FuzzyDate
from django_countries.fields import Country as DjangoCountry
from freezegun i... | mi/tests/test_country_views.py | import datetime
from django.core.management import call_command
from django.urls import reverse
from dateutil.relativedelta import relativedelta
from django.utils.timezone import now, get_current_timezone
from factory.fuzzy import FuzzyDate
from django_countries.fields import Country as DjangoCountry
from freezegun i... | 0.382718 | 0.22306 |
import os
from pathlib import Path
import pytest
import numpy as np
import torch as th
from ml.vision.transforms import functional as TF
from ml.vision import transforms
from ml.vision.ops import clip_boxes_to_image
from ml import nn
import ml
from .fixtures import *
@pytest.fixture
def dev():
return th.device('... | tests/test_backbone.py | import os
from pathlib import Path
import pytest
import numpy as np
import torch as th
from ml.vision.transforms import functional as TF
from ml.vision import transforms
from ml.vision.ops import clip_boxes_to_image
from ml import nn
import ml
from .fixtures import *
@pytest.fixture
def dev():
return th.device('... | 0.483161 | 0.460592 |
import requests
import json
from ckan.plugins import toolkit as tk
from ckan import model as ckan_model
from ckan.logic import NotFound
from ckan.lib.mailer import mail_recipient
from .. import model
import logging
_ = tk._
check_access = tk.check_access
side_effect_free = tk.side_effect_free
log = logging.getLogger... | ckanext/ckanext-apply_permissions_for_service/ckanext/apply_permissions_for_service/logic/action.py | import requests
import json
from ckan.plugins import toolkit as tk
from ckan import model as ckan_model
from ckan.logic import NotFound
from ckan.lib.mailer import mail_recipient
from .. import model
import logging
_ = tk._
check_access = tk.check_access
side_effect_free = tk.side_effect_free
log = logging.getLogger... | 0.250821 | 0.086632 |
from __future__ import absolute_import, division, print_function, unicode_literals
import sys
import argparse
import fileinput
from cocoprep.archive_exceptions import PreprocessingException, PreprocessingWarning
from cocoprep.archive_load_data import parse_archive_file_name, parse_range, get_key_value, get_file_name_... | code-preprocessing/log-reconstruction/evaluations_append.py | from __future__ import absolute_import, division, print_function, unicode_literals
import sys
import argparse
import fileinput
from cocoprep.archive_exceptions import PreprocessingException, PreprocessingWarning
from cocoprep.archive_load_data import parse_archive_file_name, parse_range, get_key_value, get_file_name_... | 0.448668 | 0.238473 |
from homeassistant.components.device_tracker import DOMAIN, config_entry as ce
from homeassistant.helpers import device_registry as dr, entity_registry as er
from tests.common import MockConfigEntry
def test_tracker_entity():
"""Test tracker entity."""
class TestEntry(ce.TrackerEntity):
"""Mock trac... | tests/components/device_tracker/test_config_entry.py | from homeassistant.components.device_tracker import DOMAIN, config_entry as ce
from homeassistant.helpers import device_registry as dr, entity_registry as er
from tests.common import MockConfigEntry
def test_tracker_entity():
"""Test tracker entity."""
class TestEntry(ce.TrackerEntity):
"""Mock trac... | 0.739046 | 0.303151 |
import pygame
import sys
from states.intro import Intro
from states.menu import Menu
from states.game import Game
from states.transition import Transition
from states.editor import Editor
from utils import music_manager as Music_Manager
import random
class Main(object):
def __init__(self):
pygame.init()... | main.py | import pygame
import sys
from states.intro import Intro
from states.menu import Menu
from states.game import Game
from states.transition import Transition
from states.editor import Editor
from utils import music_manager as Music_Manager
import random
class Main(object):
def __init__(self):
pygame.init()... | 0.234933 | 0.130923 |
import sys
import PySimpleGUI as sg
import etl_asset_data as etl
import data_base
from datetime import datetime as dt
sg.theme("DarkTeal10")
def create_main_window():
layout = [
[
sg.Text("Selecione o seu arquivo TXT"),
sg.In(key="-FILE-"),
sg.FileBrowse("Seleciona... | gui.py | import sys
import PySimpleGUI as sg
import etl_asset_data as etl
import data_base
from datetime import datetime as dt
sg.theme("DarkTeal10")
def create_main_window():
layout = [
[
sg.Text("Selecione o seu arquivo TXT"),
sg.In(key="-FILE-"),
sg.FileBrowse("Seleciona... | 0.354992 | 0.263053 |
import itertools
import numpy as np
import gym
from gym_minigrid.minigrid import COLORS, WorldObj
from .verifier import *
from .levelgen import *
class ColorSplitsBase(RoomGridLevel):
def __init__(self, room_size=8, num_dists=8, seed=None, box_colors = ['red', 'green', 'blue'], ball_colors = ['purple', 'yellow'... | babyai/levels/embodiment_levels.py | import itertools
import numpy as np
import gym
from gym_minigrid.minigrid import COLORS, WorldObj
from .verifier import *
from .levelgen import *
class ColorSplitsBase(RoomGridLevel):
def __init__(self, room_size=8, num_dists=8, seed=None, box_colors = ['red', 'green', 'blue'], ball_colors = ['purple', 'yellow'... | 0.617397 | 0.198491 |
# Script for organizing ASL data to BIDS format
# Pull scan name from asl and m0 image, NEED TO DO: output to examcard2json
# Remove asl image (or just don't put it in the BIDS folder?)
# Convert dicom to nifti
import glob
import os
import sys, getopt
from pydicom import dcmread
import json
def main(argv):
indir = ... | xnatwrapper/organize_data.py |
# Script for organizing ASL data to BIDS format
# Pull scan name from asl and m0 image, NEED TO DO: output to examcard2json
# Remove asl image (or just don't put it in the BIDS folder?)
# Convert dicom to nifti
import glob
import os
import sys, getopt
from pydicom import dcmread
import json
def main(argv):
indir = ... | 0.123696 | 0.252004 |
from django.contrib.auth import get_user_model
from rest_framework import serializers
from bmh_lims.database import models
User = get_user_model()
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = ['url', 'username', 'email', 'groups']
class Workfl... | bmh_lims/database/api/serializers.py | from django.contrib.auth import get_user_model
from rest_framework import serializers
from bmh_lims.database import models
User = get_user_model()
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = ['url', 'username', 'email', 'groups']
class Workfl... | 0.619356 | 0.115511 |
# This file is part of the Mad Girlfriend software
# See the LICENSE file for copyright information
from rules import Rules
from alertgenerator import Alert, Alerter
from packetparser import Packet
import signal, sys, os, socket, time, traceback, exceptions
def getMemoryUsage():
data = open('/proc/meminfo', 'r'... | madgirlfriend.py |
# This file is part of the Mad Girlfriend software
# See the LICENSE file for copyright information
from rules import Rules
from alertgenerator import Alert, Alerter
from packetparser import Packet
import signal, sys, os, socket, time, traceback, exceptions
def getMemoryUsage():
data = open('/proc/meminfo', 'r'... | 0.307878 | 0.141578 |
import sgtk
from sgtk.platform.qt import QtCore, QtGui
from .custom_widget_item import CustomTreeWidgetItem
logger = sgtk.platform.get_logger(__name__)
from .tree_node_base import TreeNodeBase
from .tree_node_task import TreeNodeTask
class TreeNodeItem(TreeNodeBase):
"""
Tree item for a publish item
"... | install/app_store/tk-multi-publish2/v2.0.6/python/tk_multi_publish2/publish_tree_widget/tree_node_item.py |
import sgtk
from sgtk.platform.qt import QtCore, QtGui
from .custom_widget_item import CustomTreeWidgetItem
logger = sgtk.platform.get_logger(__name__)
from .tree_node_base import TreeNodeBase
from .tree_node_task import TreeNodeTask
class TreeNodeItem(TreeNodeBase):
"""
Tree item for a publish item
"... | 0.612078 | 0.154344 |
import tensorflow as tf
import math
def weight_variable(shape):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial)
def bias_variable(shape):
initial = tf.constant(0.1, shape=shape)
return tf.Variable(initial)
def conv1d(x, W, s):
return tf.nn.conv2d(x, W, strides=s, p... | dla_cnn/Model_v4.py | import tensorflow as tf
import math
def weight_variable(shape):
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial)
def bias_variable(shape):
initial = tf.constant(0.1, shape=shape)
return tf.Variable(initial)
def conv1d(x, W, s):
return tf.nn.conv2d(x, W, strides=s, p... | 0.922989 | 0.552057 |
from selenium import webdriver
import time
import requests
from bs4 import BeautifulSoup
import re
import json
from selenium.webdriver.common.keys import Keys
import pickle
import pandas as pd
array_textos_noticias = []
link = []
def elpais_content(user_input):
#Headless para evitar que se lance la ventana de chr... | api/scrapers/elPais.py | from selenium import webdriver
import time
import requests
from bs4 import BeautifulSoup
import re
import json
from selenium.webdriver.common.keys import Keys
import pickle
import pandas as pd
array_textos_noticias = []
link = []
def elpais_content(user_input):
#Headless para evitar que se lance la ventana de chr... | 0.072587 | 0.075858 |
from scipy.linalg import solve_continuous_lyapunov
from tqdm import tqdm
from torch.utils.data import Subset
import torch
from nnlib.nnlib import utils
from .ntk import compute_training_loss_at_time_t, get_predictions_at_time_t, get_weights_at_time_t, \
get_test_predictions_at_time_t
from . import misc
from .sgd i... | sample_info/modules/stability.py | from scipy.linalg import solve_continuous_lyapunov
from tqdm import tqdm
from torch.utils.data import Subset
import torch
from nnlib.nnlib import utils
from .ntk import compute_training_loss_at_time_t, get_predictions_at_time_t, get_weights_at_time_t, \
get_test_predictions_at_time_t
from . import misc
from .sgd i... | 0.795062 | 0.327776 |
import argparse
import sys
from array import array
from struct import unpack
from math import sqrt
def doWork(args):
from DataFormats.FWLite import Handle, Events
from ROOT import TGraphErrors, TFile, gROOT, kOrange
output_file = None
gr = None
if not args.files:
return
tracks_h = Handl... | hip_xsec.py | import argparse
import sys
from array import array
from struct import unpack
from math import sqrt
def doWork(args):
from DataFormats.FWLite import Handle, Events
from ROOT import TGraphErrors, TFile, gROOT, kOrange
output_file = None
gr = None
if not args.files:
return
tracks_h = Handl... | 0.29088 | 0.295942 |
import pygame, sys, math, time
from utils import MenuItemIndex, utils, TimerObject
from BaseRenderer import BaseRenderer
class SpaceRace():
def __init__(self, pyg, screen):
# General settings
print("init SpaceRace")
self.pyg = pyg
self.myfont = self.pyg.font.SysFont("monospace", 30)... | UranusInvaders/SpaceRace.py | import pygame, sys, math, time
from utils import MenuItemIndex, utils, TimerObject
from BaseRenderer import BaseRenderer
class SpaceRace():
def __init__(self, pyg, screen):
# General settings
print("init SpaceRace")
self.pyg = pyg
self.myfont = self.pyg.font.SysFont("monospace", 30)... | 0.373647 | 0.207175 |
__file__ = 'OffSystem_v1'
__date__ = '5/29/14'
__author__ = 'ABREZNIC'
import os, arcpy, xlwt, datetime
#date
now = datetime.datetime.now()
curMonth = now.strftime("%m")
curDay = now.strftime("%d")
curYear = now.strftime("%Y")
today = curYear + "_" + curMonth + "_" + curDay
#variables
qcfolder = "C:\\TxDOT\\QC\\Off... | QC/old/OffSystem_v1.py | __file__ = 'OffSystem_v1'
__date__ = '5/29/14'
__author__ = 'ABREZNIC'
import os, arcpy, xlwt, datetime
#date
now = datetime.datetime.now()
curMonth = now.strftime("%m")
curDay = now.strftime("%d")
curYear = now.strftime("%Y")
today = curYear + "_" + curMonth + "_" + curDay
#variables
qcfolder = "C:\\TxDOT\\QC\\Off... | 0.096514 | 0.162247 |
import mock
from karborclient.tests.unit import base
from karborclient.tests.unit.v1 import fakes
cs = fakes.FakeClient()
mock_request_return = ({}, {'quota': {'plans': 50}})
class QuotasTest(base.TestCaseShell):
@mock.patch('karborclient.common.http.HTTPClient.json_request')
def test_quota_update(self, m... | karborclient/tests/unit/v1/test_quotas.py |
import mock
from karborclient.tests.unit import base
from karborclient.tests.unit.v1 import fakes
cs = fakes.FakeClient()
mock_request_return = ({}, {'quota': {'plans': 50}})
class QuotasTest(base.TestCaseShell):
@mock.patch('karborclient.common.http.HTTPClient.json_request')
def test_quota_update(self, m... | 0.584271 | 0.161849 |
import json
import logging
import optparse
import os
import shutil
import tempfile
import urllib2
from xml.etree.ElementTree import tostring
try:
# For Python 3.0 and later
from shutil import unpack_archive
except ImportError:
# Fall back to Python 2 import
from setuptools.archive_util import unpack_a... | data_managers/data_manager_manual/data_manager/data_manager_manual.py |
import json
import logging
import optparse
import os
import shutil
import tempfile
import urllib2
from xml.etree.ElementTree import tostring
try:
# For Python 3.0 and later
from shutil import unpack_archive
except ImportError:
# Fall back to Python 2 import
from setuptools.archive_util import unpack_a... | 0.253399 | 0.185301 |
import logging
import threading
import time
from playsound import playsound
from pymongo import MongoClient
from pymongo.errors import ServerSelectionTimeoutError
from sshtunnel import HandlerSSHTunnelForwarderError, SSHTunnelForwarder
class CommentResourceAccess:
"""A data loader class that expands a truncated ... | ghtorrent/CommentResourceAccess.py | import logging
import threading
import time
from playsound import playsound
from pymongo import MongoClient
from pymongo.errors import ServerSelectionTimeoutError
from sshtunnel import HandlerSSHTunnelForwarderError, SSHTunnelForwarder
class CommentResourceAccess:
"""A data loader class that expands a truncated ... | 0.605333 | 0.074332 |
try:
import gsdl2 as pygame
except:
import pygame
import random
class MapGrid():
def __init__(self, map_width, map_height):
# set map values
self.map_width = map_width
self.map_height = map_width
# generate outside rooms
self.outside_terrain_grid = self._generate_... | demos/16_cellular.py | try:
import gsdl2 as pygame
except:
import pygame
import random
class MapGrid():
def __init__(self, map_width, map_height):
# set map values
self.map_width = map_width
self.map_height = map_width
# generate outside rooms
self.outside_terrain_grid = self._generate_... | 0.242295 | 0.373847 |
from .plugin import Plugin
class Monitor(Plugin):
def __init__(self, running_average=True, epoch_average=True, smoothing=0.7,
precision=None, number_format=None, unit=''):
if precision is None:
precision = 4
if number_format is None:
number_format = '.{}f'... | torch/utils/trainer/plugins/monitor.py | from .plugin import Plugin
class Monitor(Plugin):
def __init__(self, running_average=True, epoch_average=True, smoothing=0.7,
precision=None, number_format=None, unit=''):
if precision is None:
precision = 4
if number_format is None:
number_format = '.{}f'... | 0.599016 | 0.205974 |
from common import RunningStyle, PasswordPolicyConf
from copy import deepcopy
from sys import platform
# possible jtr names
john_nick_names = [
'j', 'jtr', 'JTR', 'JtR', 'John', 'john', 'J', '<NAME>', 'Jtr'
]
# possible hc names
hc_nick_names = ['h', 'hc', 'HC', 'hashcat', 'H', 'Hashcat', 'Hc']
# For detailed in... | src/config.py |
from common import RunningStyle, PasswordPolicyConf
from copy import deepcopy
from sys import platform
# possible jtr names
john_nick_names = [
'j', 'jtr', 'JTR', 'JtR', 'John', 'john', 'J', '<NAME>', 'Jtr'
]
# possible hc names
hc_nick_names = ['h', 'hc', 'HC', 'hashcat', 'H', 'Hashcat', 'Hc']
# For detailed in... | 0.501221 | 0.173533 |
import logging
import os
import uuid
from enum import Enum
from airflow.exceptions import AirflowException
from airflow.providers.http.hooks.http import HttpHook
from taurus_datajob_api import ApiClient
from taurus_datajob_api import Configuration
from taurus_datajob_api import DataJobExecution
from taurus_datajob_api... | projects/vdk-plugins/airflow-provider-vdk/vdk_provider/hooks/vdk.py | import logging
import os
import uuid
from enum import Enum
from airflow.exceptions import AirflowException
from airflow.providers.http.hooks.http import HttpHook
from taurus_datajob_api import ApiClient
from taurus_datajob_api import Configuration
from taurus_datajob_api import DataJobExecution
from taurus_datajob_api... | 0.470493 | 0.078926 |
import os
import requests
from PIL import Image
from io import BytesIO
import random
class Module:
DESC = ""
ARGC = 0
ARG_WARNING = "There are not enough arguments to continue."
ACC_TOKEN = os.getenv("GROUPME_ACCESS_TOKEN")
def __init__:
print("Loaded module %s." % self.__clas... | cmds/base.py | import os
import requests
from PIL import Image
from io import BytesIO
import random
class Module:
DESC = ""
ARGC = 0
ARG_WARNING = "There are not enough arguments to continue."
ACC_TOKEN = os.getenv("GROUPME_ACCESS_TOKEN")
def __init__:
print("Loaded module %s." % self.__clas... | 0.303525 | 0.080574 |
import rospy
import datetime
import os
import json
from std_msgs.msg import String
from sensor_msgs.msg import Image
from acrv_apc_2017_perception.msg import autosegmenter_msg
import cv_bridge
import cv2
NUM_IMGS = 7
seen_items = [
"plastic_wine_glass",
"hinged_ruled_index_cards",
"black_fashion_gloves"... | apc_state_machine/state_machine/data/image_capture.py | import rospy
import datetime
import os
import json
from std_msgs.msg import String
from sensor_msgs.msg import Image
from acrv_apc_2017_perception.msg import autosegmenter_msg
import cv_bridge
import cv2
NUM_IMGS = 7
seen_items = [
"plastic_wine_glass",
"hinged_ruled_index_cards",
"black_fashion_gloves"... | 0.375821 | 0.168515 |
import gi
gi.require_version('Gtk', '3.0')
# noinspection PyUnresolvedReferences,PyPep8
from gi.repository import Gtk
class SBrickMotorChannelBox(Gtk.Frame):
def __init__(self, channel, sbrick_channel):
Gtk.Frame.__init__(self)
self.sbrickChannel = sbrick_channel
self.channel = channel
... | SBrickMotorChannelBox.py | import gi
gi.require_version('Gtk', '3.0')
# noinspection PyUnresolvedReferences,PyPep8
from gi.repository import Gtk
class SBrickMotorChannelBox(Gtk.Frame):
def __init__(self, channel, sbrick_channel):
Gtk.Frame.__init__(self)
self.sbrickChannel = sbrick_channel
self.channel = channel
... | 0.558688 | 0.115611 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | third-party/corenlp/third-party/stanza/stanza/research/templates/third-party/tensorflow/core/util/event_pb2.py |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
from google.p... | 0.202996 | 0.115811 |
from steamCLI.steamapp import SteamApp
class Results:
def __init__(self, app: SteamApp, result: list=None, max_chars: int=79):
self.app = app
if result is None:
self.result = []
else:
self.result = result
self.max_chars = max_chars
self.description ... | steamCLI/results.py | from steamCLI.steamapp import SteamApp
class Results:
def __init__(self, app: SteamApp, result: list=None, max_chars: int=79):
self.app = app
if result is None:
self.result = []
else:
self.result = result
self.max_chars = max_chars
self.description ... | 0.625552 | 0.146484 |
from PIL import Image, ImageChops
import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("input_file", type=str, help='The file to rainbowiefy')
parser.add_argument("--blend-amount", "-b", type=float, default=0.25, help='How vibrant the colours are')
parser.add_argument("--hue-rate", "-r", ... | rainbow.py |
from PIL import Image, ImageChops
import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("input_file", type=str, help='The file to rainbowiefy')
parser.add_argument("--blend-amount", "-b", type=float, default=0.25, help='How vibrant the colours are')
parser.add_argument("--hue-rate", "-r", ... | 0.425009 | 0.113162 |
import numpy as np
from functions import *
import sys
import multiprocessing as mp
import datetime
import logging
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-m', '--model', default=1, type=int, help='Model number.')
parser.add_argument('-K', '--K', default=3, type=int, help='Model number.'... | experiment.py | import numpy as np
from functions import *
import sys
import multiprocessing as mp
import datetime
import logging
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('-m', '--model', default=1, type=int, help='Model number.')
parser.add_argument('-K', '--K', default=3, type=int, help='Model number.'... | 0.341583 | 0.151624 |
from django.conf import settings
from django.urls import include, path
from django.conf.urls.static import static
from django.contrib import admin
from django.views.generic import TemplateView
from django.views import defaults as default_views
from rest_framework.schemas import get_schema_view
from rest_framework_simpl... | config/urls.py | from django.conf import settings
from django.urls import include, path
from django.conf.urls.static import static
from django.contrib import admin
from django.views.generic import TemplateView
from django.views import defaults as default_views
from rest_framework.schemas import get_schema_view
from rest_framework_simpl... | 0.392337 | 0.059047 |
import os
import shutil
import math
import pandas as pd
import tensorflow as tf
from tensorflow import keras
import numpy as np
import gc
from typing import Tuple
from sklearn import preprocessing
from sklearn.utils import shuffle
import datetime
import time
from src.data_process.config_paths import Data... | src/training/training_manager.py | import os
import shutil
import math
import pandas as pd
import tensorflow as tf
from tensorflow import keras
import numpy as np
import gc
from typing import Tuple
from sklearn import preprocessing
from sklearn.utils import shuffle
import datetime
import time
from src.data_process.config_paths import Data... | 0.710226 | 0.468304 |
import pandas as pd
import numpy as np
from constants import DESPESAS_COL, ORCAMENTOS_COL
class Importacao:
def __init__(self, despesas_caminho_arq, orcamentos_caminho_arq, mysql_obj):
self.mysql_obj = mysql_obj
despesas = self.criar_despesas_df(despesas_caminho_arq)
orcamentos = self.cri... | src/importacao.py | import pandas as pd
import numpy as np
from constants import DESPESAS_COL, ORCAMENTOS_COL
class Importacao:
def __init__(self, despesas_caminho_arq, orcamentos_caminho_arq, mysql_obj):
self.mysql_obj = mysql_obj
despesas = self.criar_despesas_df(despesas_caminho_arq)
orcamentos = self.cri... | 0.328529 | 0.164785 |
import utils.epiweek as utils
def get_window(epiweek, left_window, right_window):
"""
generate a time period [epiweek-left_window, epiweek+right_window]
Args:
epiweek - the "central" epiweek for a period
left_window - the length of "left side"
right_window - the length of "right si... | src/hosp/hosp_utils.py | import utils.epiweek as utils
def get_window(epiweek, left_window, right_window):
"""
generate a time period [epiweek-left_window, epiweek+right_window]
Args:
epiweek - the "central" epiweek for a period
left_window - the length of "left side"
right_window - the length of "right si... | 0.858318 | 0.664221 |
import math
import numpy as np
import logging
import os
import traceback
import concurrent.futures
from concurrent.futures import ThreadPoolExecutor
from module.MOptions import MArmTwistOffOptions, MOptionsDataSet
from mmd.PmxData import PmxModel, Bone # noqa
from mmd.VmdData import VmdMotion, VmdBoneFrame, VmdCameraF... | src/service/ConvertArmTwistOffService.py | import math
import numpy as np
import logging
import os
import traceback
import concurrent.futures
from concurrent.futures import ThreadPoolExecutor
from module.MOptions import MArmTwistOffOptions, MOptionsDataSet
from mmd.PmxData import PmxModel, Bone # noqa
from mmd.VmdData import VmdMotion, VmdBoneFrame, VmdCameraF... | 0.34621 | 0.168788 |
class NetworkDevice():
def __init__(self, name, ip, user='cisco', pw='cisco'):
self.name = name
self.ip_address = ip
self.username = user
self.password = pw
self.os_type = 'unknown'
#---- Class to hold information about an IOS-XE network device --------
class NetworkDevice... | Cisco_PRNE_Exercises/getDevicesTypes_Class_inh.py | class NetworkDevice():
def __init__(self, name, ip, user='cisco', pw='cisco'):
self.name = name
self.ip_address = ip
self.username = user
self.password = pw
self.os_type = 'unknown'
#---- Class to hold information about an IOS-XE network device --------
class NetworkDevice... | 0.420243 | 0.161916 |
import math
import statistics
import sys
import gzip
import itertools
import csv
def kmers(k, init=0, alph='ACGT'):
kmers = {}
for tup in itertools.product(alph, repeat=k):
kmer = ''.join(tup)
kmers[kmer] = init
return kmers
def count2freq(count):
freq = {}
total = 0
for k in count: total += count[k]
for k... | ime_drafting/v1/imelib.py | import math
import statistics
import sys
import gzip
import itertools
import csv
def kmers(k, init=0, alph='ACGT'):
kmers = {}
for tup in itertools.product(alph, repeat=k):
kmer = ''.join(tup)
kmers[kmer] = init
return kmers
def count2freq(count):
freq = {}
total = 0
for k in count: total += count[k]
for k... | 0.153644 | 0.244448 |
from django.urls import reverse_lazy
from django.views.generic import (
ListView,
DetailView,
CreateView,
UpdateView,
DeleteView,
)
from starry_students.manager.forms import (
StudentAddUpdateForm,
TeacherAddUpdateForm,
)
from starry_students.manager.models import Student, Teacher, TeacherS... | starry_students/manager/views.py | from django.urls import reverse_lazy
from django.views.generic import (
ListView,
DetailView,
CreateView,
UpdateView,
DeleteView,
)
from starry_students.manager.forms import (
StudentAddUpdateForm,
TeacherAddUpdateForm,
)
from starry_students.manager.models import Student, Teacher, TeacherS... | 0.590543 | 0.070464 |
import os
import argparse
import json
import time
from datetime import datetime
import ipc
ipcSocketPath = os.path.split(os.path.realpath(__file__))[0] + os.sep + 'ipcSocket'
################################################################################
# Logging
###################################... | changeSettings.py | import os
import argparse
import json
import time
from datetime import datetime
import ipc
ipcSocketPath = os.path.split(os.path.realpath(__file__))[0] + os.sep + 'ipcSocket'
################################################################################
# Logging
###################################... | 0.152001 | 0.056262 |
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from warnings import warn
class CategoricalColumnTransformer(BaseEstimator, TransformerMixin):
"""
This transformer is useful for describing an object as a bag of the categorical values that
have been used to represent it within... | vectorizers/transformers/categorical_columns.py | import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from warnings import warn
class CategoricalColumnTransformer(BaseEstimator, TransformerMixin):
"""
This transformer is useful for describing an object as a bag of the categorical values that
have been used to represent it within... | 0.86267 | 0.681548 |
from datetime import datetime, date, timedelta
import isodate
import re
def convert_to_interval_and_resolution(values):
# Remove fractional seconds if any
values = list(map(lambda v : v.split('.')[0], values))
# Convert to datetime
times = list(map(lambda t : datetime.strptime(t, "%Y-%m-%dT%H:%M:%S")... | tasks/python3/processTemporalLayer.py | from datetime import datetime, date, timedelta
import isodate
import re
def convert_to_interval_and_resolution(values):
# Remove fractional seconds if any
values = list(map(lambda v : v.split('.')[0], values))
# Convert to datetime
times = list(map(lambda t : datetime.strptime(t, "%Y-%m-%dT%H:%M:%S")... | 0.415373 | 0.472805 |
import math
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
from .prior import Prior
from src.modules.nn_layers import *
from src.modules.distributions import *
from src.utils import args
class VampPrior(Prior):
"""
VAE with a VampPrior
https://arxiv.org/abs/1... | vae/src/modules/priors/vampprior.py | import math
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
from .prior import Prior
from src.modules.nn_layers import *
from src.modules.distributions import *
from src.utils import args
class VampPrior(Prior):
"""
VAE with a VampPrior
https://arxiv.org/abs/1... | 0.916157 | 0.472197 |
from rest_framework.decorators import api_view, permission_classes
from rest_framework import status
from rest_framework.response import Response
import datetime
from .models import User
from .serializer import AccountRegistrationSerializer, UserSigninSerializer
@api_view(['POST'])
@permission_classes([])
def signup... | Back/registeration/views.py | from rest_framework.decorators import api_view, permission_classes
from rest_framework import status
from rest_framework.response import Response
import datetime
from .models import User
from .serializer import AccountRegistrationSerializer, UserSigninSerializer
@api_view(['POST'])
@permission_classes([])
def signup... | 0.362179 | 0.051083 |
# pylint: disable=missing-docstring
# pylint: disable=invalid-name
import json
import os
from mock import patch
from citest.gcp_testing import GcpAgent
def _method_spec(parameter_order, optional=None):
parameters = {key: {'required': True} for key in parameter_order}
parameters.update({key: {} for key in optio... | tests/gcp_testing/test_gcp_agent.py |
# pylint: disable=missing-docstring
# pylint: disable=invalid-name
import json
import os
from mock import patch
from citest.gcp_testing import GcpAgent
def _method_spec(parameter_order, optional=None):
parameters = {key: {'required': True} for key in parameter_order}
parameters.update({key: {} for key in optio... | 0.493164 | 0.127544 |
from tinydb import Query # TinyDB is a lightweight document oriented database
from t_system.db_fetching import DBFetcher
from t_system.motion.action import Position
from t_system.administration import is_admin
from t_system import dot_t_system_dir, T_SYSTEM_PATH
from t_system import mission_manager, emotion_manager
... | t_system/remote_ui/modules/position.py | from tinydb import Query # TinyDB is a lightweight document oriented database
from t_system.db_fetching import DBFetcher
from t_system.motion.action import Position
from t_system.administration import is_admin
from t_system import dot_t_system_dir, T_SYSTEM_PATH
from t_system import mission_manager, emotion_manager
... | 0.676299 | 0.157169 |
import os
from collections import defaultdict
import numpy as np
from anago.models import SeqLabeling
from anago.data.metrics import get_entities
class Tagger(object):
def __init__(self,
config,
weights,
save_path='',
preprocessor=None,
... | anago/tagger.py | import os
from collections import defaultdict
import numpy as np
from anago.models import SeqLabeling
from anago.data.metrics import get_entities
class Tagger(object):
def __init__(self,
config,
weights,
save_path='',
preprocessor=None,
... | 0.682891 | 0.313564 |
from utils_plus.router import url
from utils_plus.views import return_path_view as view
str_iter = lambda x: list(map(str, x))
def test_nesting_levels():
urls = list(
url("home")[
url("p1", view, "report1"),
url("p2", view, "report2"),
url("level1", view, "sub1")[
... | tests/test_router.py | from utils_plus.router import url
from utils_plus.views import return_path_view as view
str_iter = lambda x: list(map(str, x))
def test_nesting_levels():
urls = list(
url("home")[
url("p1", view, "report1"),
url("p2", view, "report2"),
url("level1", view, "sub1")[
... | 0.377655 | 0.246477 |
import mintapi.api
import mintapi.cli
import mintapi.signIn
import json
import unittest
import requests
import tempfile
from mintapi import constants
from unittest.mock import patch, DEFAULT
accounts_example = {
"Account": [
{
"type": "CreditAccount",
"userCardType": "UNKNOWN",
... | tests/test_driver.py | import mintapi.api
import mintapi.cli
import mintapi.signIn
import json
import unittest
import requests
import tempfile
from mintapi import constants
from unittest.mock import patch, DEFAULT
accounts_example = {
"Account": [
{
"type": "CreditAccount",
"userCardType": "UNKNOWN",
... | 0.343452 | 0.387285 |
from collections import namedtuple
from . import ast
WorldModel = namedtuple("WorldModel", ["individuals", "assignments"])
def interpret_formula(formula, model):
"""Given a logical formula and a model of the world, return the formula's denotation
in the model.
"""
if isinstance(formula, ast.Var):
... | montague/interpreter.py | from collections import namedtuple
from . import ast
WorldModel = namedtuple("WorldModel", ["individuals", "assignments"])
def interpret_formula(formula, model):
"""Given a logical formula and a model of the world, return the formula's denotation
in the model.
"""
if isinstance(formula, ast.Var):
... | 0.633297 | 0.621053 |
import functools
from typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar, Union
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
f... | sdk/ml/azure-ai-ml/azure/ai/ml/_restclient/runhistory/aio/operations/_experiments_operations.py | import functools
from typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar, Union
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
f... | 0.822332 | 0.112747 |
import distutils
import os
import py2exe
import shutil
import sys
def run_py2exe():
py2exe.__version__
sys.argv.append('py2exe')
distutils.core.setup(
options = {"py2exe":{
"compressed": True,
"optimize": 1,
"bundle_files": 1,
"excludes": ['Tkconstant... | setup.py | import distutils
import os
import py2exe
import shutil
import sys
def run_py2exe():
py2exe.__version__
sys.argv.append('py2exe')
distutils.core.setup(
options = {"py2exe":{
"compressed": True,
"optimize": 1,
"bundle_files": 1,
"excludes": ['Tkconstant... | 0.155015 | 0.130009 |
import re
import sys
from typing import Optional
import ensightreader
import numpy as np
import argparse
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("ensight_case", metavar="*.case", help="input EnSight Gold case (C Binary)")
parser.add_argument("output_obj", metavar="*.obj",... | ensight2obj.py | import re
import sys
from typing import Optional
import ensightreader
import numpy as np
import argparse
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("ensight_case", metavar="*.case", help="input EnSight Gold case (C Binary)")
parser.add_argument("output_obj", metavar="*.obj",... | 0.521959 | 0.217919 |
import discord
from discord.ext import commands
import random
from discord.commands import slash_command
class media(commands.Cog):
def __init__(self, bot):
self.bot = bot
@slash_command(description="Doge smile")
async def smile(self, ctx):
await ctx.respond('https://tenor.com/view/perro-xd-xd-moises-xd-gif-... | cogs/media.py | import discord
from discord.ext import commands
import random
from discord.commands import slash_command
class media(commands.Cog):
def __init__(self, bot):
self.bot = bot
@slash_command(description="Doge smile")
async def smile(self, ctx):
await ctx.respond('https://tenor.com/view/perro-xd-xd-moises-xd-gif-... | 0.298696 | 0.146118 |
import os
import random
import numpy as np
import torch
from torch import nn, optim
from torch.utils.data import DataLoader, Dataset
from fairtorch import ConstraintLoss, DemographicParityLoss, EqualiedOddsLoss
def seed_everything(seed):
random.seed(seed)
os.environ["PYTHONHASHSEED"] = str(seed)
np.rand... | tests/test_constraint.py | import os
import random
import numpy as np
import torch
from torch import nn, optim
from torch.utils.data import DataLoader, Dataset
from fairtorch import ConstraintLoss, DemographicParityLoss, EqualiedOddsLoss
def seed_everything(seed):
random.seed(seed)
os.environ["PYTHONHASHSEED"] = str(seed)
np.rand... | 0.775945 | 0.483344 |
from copy import deepcopy
from math import cos, sin, sqrt, copysign
class Vector(object):
@staticmethod
def _det3x3(matrix):
det = 0.0
for inc in range(3):
m = 1.0
for r in range(3):
c = (r +... | bot1/sensor/vector.py | from copy import deepcopy
from math import cos, sin, sqrt, copysign
class Vector(object):
@staticmethod
def _det3x3(matrix):
det = 0.0
for inc in range(3):
m = 1.0
for r in range(3):
c = (r +... | 0.854854 | 0.611875 |
u"""
harmonics.py
Written by <NAME> (12/2020)
Spherical harmonic data class for processing GRACE/GRACE-FO Level-2 data
PYTHON DEPENDENCIES:
numpy: Scientific Computing Tools For Python (https://numpy.org)
netCDF4: Python interface to the netCDF C library
(https://unidata.github.io/netcdf4-python/netCD... | gravity_toolkit/harmonics.py | u"""
harmonics.py
Written by <NAME> (12/2020)
Spherical harmonic data class for processing GRACE/GRACE-FO Level-2 data
PYTHON DEPENDENCIES:
numpy: Scientific Computing Tools For Python (https://numpy.org)
netCDF4: Python interface to the netCDF C library
(https://unidata.github.io/netcdf4-python/netCD... | 0.708313 | 0.578924 |
from tensorflow.python.keras import backend
from tensorflow.python.keras import layers
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.engine import training
NUM_CLASSES = 1000
def dense_block(x, blocks, name):
for i in range(blocks):
x = conv_block(x, 32, nam... | tests/tensorflow/test_models/densenet.py | from tensorflow.python.keras import backend
from tensorflow.python.keras import layers
from tensorflow.python.keras.applications import imagenet_utils
from tensorflow.python.keras.engine import training
NUM_CLASSES = 1000
def dense_block(x, blocks, name):
for i in range(blocks):
x = conv_block(x, 32, nam... | 0.900915 | 0.397997 |
import torch
import torch.nn as nn
from torch.nn import functional as F
def octonion_mul(O_1, O_2):
x0, x1, x2, x3, x4, x5, x6, x7 = O_1
y0, y1, y2, y3, y4, y5, y6, y7 = O_2
x = x0 * y0 - x1 * y1 - x2 * y2 - x3 * y3 - x4 * y4 - x5 * y5 - x6 * y6 - x7 * y7
e1 = x0 * y1 + x1 * y0 + x2 * y3 - x3 * y2 + x... | toolbox/nn/OctonionE.py | import torch
import torch.nn as nn
from torch.nn import functional as F
def octonion_mul(O_1, O_2):
x0, x1, x2, x3, x4, x5, x6, x7 = O_1
y0, y1, y2, y3, y4, y5, y6, y7 = O_2
x = x0 * y0 - x1 * y1 - x2 * y2 - x3 * y3 - x4 * y4 - x5 * y5 - x6 * y6 - x7 * y7
e1 = x0 * y1 + x1 * y0 + x2 * y3 - x3 * y2 + x... | 0.896149 | 0.814164 |
from django.db import models
from django.conf import settings
from djnfusion import server, key
from packages.models import InfusionsoftTag, PackagePurchase
class UserProfile(models.Model):
user = models.OneToOneField(settings.AUTH_USER_MODEL)
archetype = models.CharField(max_length=255, blank=True,
... | dtf/profiles/models.py | from django.db import models
from django.conf import settings
from djnfusion import server, key
from packages.models import InfusionsoftTag, PackagePurchase
class UserProfile(models.Model):
user = models.OneToOneField(settings.AUTH_USER_MODEL)
archetype = models.CharField(max_length=255, blank=True,
... | 0.357904 | 0.111749 |
from lightbulb.core.utils.httphandler import HTTPHandler
from lightbulb.core.utils.common import findlibrary
import json
META = {
'author': '<NAME>, <NAME>',
'description': 'Identifies a WAF filter using a distinguish tree',
'type':'Distinguisher',
'options': [
('FILE', None, True, 'File contai... | lightbulb/modules/distinguish_waf.py | from lightbulb.core.utils.httphandler import HTTPHandler
from lightbulb.core.utils.common import findlibrary
import json
META = {
'author': '<NAME>, <NAME>',
'description': 'Identifies a WAF filter using a distinguish tree',
'type':'Distinguisher',
'options': [
('FILE', None, True, 'File contai... | 0.601594 | 0.162746 |
import multiprocessing
import argparse
import os
import itertools
import shutil
from tqdm.auto import tqdm
from skimage import io
def crop_image(img, path):
"""
Crop the image and the corresponding ground truth, and saves all sub images
img : string, image to crop
path : string, path to directory c... | scripts/preprocess_im_sat_data.py | import multiprocessing
import argparse
import os
import itertools
import shutil
from tqdm.auto import tqdm
from skimage import io
def crop_image(img, path):
"""
Crop the image and the corresponding ground truth, and saves all sub images
img : string, image to crop
path : string, path to directory c... | 0.373419 | 0.329419 |
from ..map_resource.utility import Utility
from .. import tools
import pandas as pd
settings = {
'app_id': 'F8aPRXcW3MmyUvQ8Z3J9',
'app_code' : 'IVp1_zoGHdLdz0GvD_Eqsw',
'map_tile_base_url': 'https://1.traffic.maps.cit.api.here.com/maptile/2.1/traffictile/newest/normal.day/',
'json_tile_base_url': 'htt... | streettraffic/tests/test_utility.py | from ..map_resource.utility import Utility
from .. import tools
import pandas as pd
settings = {
'app_id': 'F8aPRXcW3MmyUvQ8Z3J9',
'app_code' : 'IVp1_zoGHdLdz0GvD_Eqsw',
'map_tile_base_url': 'https://1.traffic.maps.cit.api.here.com/maptile/2.1/traffictile/newest/normal.day/',
'json_tile_base_url': 'htt... | 0.502441 | 0.405979 |
from msg import ReqMsg
from cmds import Cmd
class Window(Cmd):
def __init__(self, session):
self._session = session
# Function: window_get_buffer
# Parameters Window: window
# Returns Buffer
# Recieves channel id False
# Can fail True
def get_buffer(self, window):
return ... | client/nvim_funcs.py | from msg import ReqMsg
from cmds import Cmd
class Window(Cmd):
def __init__(self, session):
self._session = session
# Function: window_get_buffer
# Parameters Window: window
# Returns Buffer
# Recieves channel id False
# Can fail True
def get_buffer(self, window):
return ... | 0.849222 | 0.086516 |
import logging
import time
import warnings
import numpy as np
import xgboost
from matplotlib import pyplot as plt
from mpl_toolkits import mplot3d
from sklearn.base import clone
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF
from sklearn.metrics import me... | examples.py | import logging
import time
import warnings
import numpy as np
import xgboost
from matplotlib import pyplot as plt
from mpl_toolkits import mplot3d
from sklearn.base import clone
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import RBF
from sklearn.metrics import me... | 0.749179 | 0.563108 |
from pygmol.abc import Chemistry, PlasmaParameters, Equations
class DefaultChemistry(Chemistry):
"""Default concrete Chemistry subclass for testing."""
# species: e-, Ar, Ar+
species_ids = ["Ar", "Ar+"]
species_charges = [0, 1]
species_masses = [39.948, 39.948]
species_lj_sigma_coefficients =... | tests/resources.py | from pygmol.abc import Chemistry, PlasmaParameters, Equations
class DefaultChemistry(Chemistry):
"""Default concrete Chemistry subclass for testing."""
# species: e-, Ar, Ar+
species_ids = ["Ar", "Ar+"]
species_charges = [0, 1]
species_masses = [39.948, 39.948]
species_lj_sigma_coefficients =... | 0.834036 | 0.669502 |
import argparse
import os
import xml.etree.ElementTree as ET
from pathlib import Path
# Directory for product data
def transform_name(product_name):
# IMPLEMENT
return product_name
directory = r'/workspace/datasets/product_data/products/'
parser = argparse.ArgumentParser(description='Process some integers.')
... | week3/createContentTrainingData.py | import argparse
import os
import xml.etree.ElementTree as ET
from pathlib import Path
# Directory for product data
def transform_name(product_name):
# IMPLEMENT
return product_name
directory = r'/workspace/datasets/product_data/products/'
parser = argparse.ArgumentParser(description='Process some integers.')
... | 0.451327 | 0.157137 |
import numpy as np
from skimage import io, transform
def get_data(img_root, x_file, y_file):
"""
Retrieves the image data and labels from the directory
and files as given by the associated parameters. Note that
images retrieved are resized to be 300 x 300 pixels.
:param img_root: The directory wh... | utils.py | import numpy as np
from skimage import io, transform
def get_data(img_root, x_file, y_file):
"""
Retrieves the image data and labels from the directory
and files as given by the associated parameters. Note that
images retrieved are resized to be 300 x 300 pixels.
:param img_root: The directory wh... | 0.823719 | 0.765155 |