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 |
|---|---|---|---|---|
# imports
import PySide.QtCore as __PySide_QtCore
import Shiboken as __Shiboken
class QSystemTrayIcon(__PySide_QtCore.QObject):
# no doc
def activated(self, *args, **kwargs): # real signature unknown
""" Signal """
pass
def contextMenu(self, *args, **kwargs): # real signature unknown
... | resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QSystemTrayIcon.py |
# imports
import PySide.QtCore as __PySide_QtCore
import Shiboken as __Shiboken
class QSystemTrayIcon(__PySide_QtCore.QObject):
# no doc
def activated(self, *args, **kwargs): # real signature unknown
""" Signal """
pass
def contextMenu(self, *args, **kwargs): # real signature unknown
... | 0.584745 | 0.067301 |
from .endpoint import Endpoint, api
from .exceptions import JobCancelledException, JobFailedException
from .. import JobItem, BackgroundJobItem, PaginationItem
from ..request_options import RequestOptionsBase
from ...exponential_backoff import ExponentialBackoffTimer
import logging
logger = logging.getLogger("tableau... | tableauserverclient/server/endpoint/jobs_endpoint.py | from .endpoint import Endpoint, api
from .exceptions import JobCancelledException, JobFailedException
from .. import JobItem, BackgroundJobItem, PaginationItem
from ..request_options import RequestOptionsBase
from ...exponential_backoff import ExponentialBackoffTimer
import logging
logger = logging.getLogger("tableau... | 0.585575 | 0.098642 |
from __future__ import print_function
from array import array
from operator import xor
__author__ = 'inmcm'
class SkinnyCipher:
# Sbox Constants
sbox4 = array('B', [12, 6, 9, 0, 1, 10, 2, 11, 3, 8, 5, 13, 4, 14, 7, 15])
sbox4_inv = array('B', [3, 4, 6, 8, 12, 10, 1, 14, 9, 2, 5, 7, 0, 11, 13, 15])
... | Python/skinny.py | from __future__ import print_function
from array import array
from operator import xor
__author__ = 'inmcm'
class SkinnyCipher:
# Sbox Constants
sbox4 = array('B', [12, 6, 9, 0, 1, 10, 2, 11, 3, 8, 5, 13, 4, 14, 7, 15])
sbox4_inv = array('B', [3, 4, 6, 8, 12, 10, 1, 14, 9, 2, 5, 7, 0, 11, 13, 15])
... | 0.186947 | 0.44089 |
import numpy as np
import mne
from itertools import product
from mne.datasets import eegbci
from mne.io import concatenate_raws, read_raw_edf
from joblib import Parallel, delayed, Memory
from picard import picard
from smica import dipolarity, JDIAG_mne, SOBI_mne, ICA
location = './cachedir'
memory = Memory(location,... | experiment_eeg_data.py | import numpy as np
import mne
from itertools import product
from mne.datasets import eegbci
from mne.io import concatenate_raws, read_raw_edf
from joblib import Parallel, delayed, Memory
from picard import picard
from smica import dipolarity, JDIAG_mne, SOBI_mne, ICA
location = './cachedir'
memory = Memory(location,... | 0.427397 | 0.337667 |
import threading
import unittest
import time
import rostest
import rospy
from araig_msgs.msg import BoolStamped
class TestEdgeTrigger(unittest.TestCase):
def setUp(self):
_pub_topic_1 = '/out_bool'
_sub_topic_high = '/in_high'
_sub_topic_low = '/in_low'
rospy.init_node('test_edge... | araig_calculators/tests/node_tests/test_edge_detector_node.py | import threading
import unittest
import time
import rostest
import rospy
from araig_msgs.msg import BoolStamped
class TestEdgeTrigger(unittest.TestCase):
def setUp(self):
_pub_topic_1 = '/out_bool'
_sub_topic_high = '/in_high'
_sub_topic_low = '/in_low'
rospy.init_node('test_edge... | 0.403567 | 0.230194 |
import argparse
from distutils.util import strtobool
from torch.utils.tensorboard import SummaryWriter
from tensorboard_logger import TensorboardLogger
from trainer import Trainer
def main(opt):
# tensorboardに出力するためのwriterを作成
TensorboardLogger.writer = SummaryWriter(log_dir=opt.tensorboard_path)
# Traine... | chapter7/stylegan2_pytorch/training.py | import argparse
from distutils.util import strtobool
from torch.utils.tensorboard import SummaryWriter
from tensorboard_logger import TensorboardLogger
from trainer import Trainer
def main(opt):
# tensorboardに出力するためのwriterを作成
TensorboardLogger.writer = SummaryWriter(log_dir=opt.tensorboard_path)
# Traine... | 0.549641 | 0.222679 |
import unittest
import matplotlib.pyplot as plt
from unittest.mock import patch
from click.testing import CliRunner
from nseta.cli.plotscli import plot_ta
import nseta.common.urls as urls
from baseUnitTest import baseUnitTest
class TestStrategycli(baseUnitTest):
def setUp(self, redirect_logs=True):
super().set... | tests/test_plotscli.py | import unittest
import matplotlib.pyplot as plt
from unittest.mock import patch
from click.testing import CliRunner
from nseta.cli.plotscli import plot_ta
import nseta.common.urls as urls
from baseUnitTest import baseUnitTest
class TestStrategycli(baseUnitTest):
def setUp(self, redirect_logs=True):
super().set... | 0.55929 | 0.619644 |
import pandas as pd
class ResultCalculator:
def __init__(self,last_unit, cgpa, course_title, course_codes, units, grades):
self.course_info = {}
self.a,self.b,self.c,self.d,self.f = 5,4,3,1,0
self.course_title = course_title
self.courses = course_codes
self.units = units... | resultCal.py | import pandas as pd
class ResultCalculator:
def __init__(self,last_unit, cgpa, course_title, course_codes, units, grades):
self.course_info = {}
self.a,self.b,self.c,self.d,self.f = 5,4,3,1,0
self.course_title = course_title
self.courses = course_codes
self.units = units... | 0.208179 | 0.270664 |
from __future__ import print_function
import sys
def loadPcbLines(filename):
with open(filename,'r') as f:
lineList = f.readlines()
return lineList
def savePcbLines(lineList,filename):
with open(filename,'w') as f:
for line in lineList:
f.write(line)
def loadRefToPosFile(file... | arena_12-18_v0/scripts/set_module_pos.py | from __future__ import print_function
import sys
def loadPcbLines(filename):
with open(filename,'r') as f:
lineList = f.readlines()
return lineList
def savePcbLines(lineList,filename):
with open(filename,'w') as f:
for line in lineList:
f.write(line)
def loadRefToPosFile(file... | 0.400984 | 0.326017 |
import numpy as np
import tkinter as tk
from tkinter import *
from scipy import signal
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import os
# Graphical interface
class SigGen(tk.Tk):
... | main.py | import numpy as np
import tkinter as tk
from tkinter import *
from scipy import signal
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
import os
# Graphical interface
class SigGen(tk.Tk):
... | 0.488283 | 0.308047 |
import os.path as osp
import mmcv
import numpy as np
from ..builder import HOI_PIPELINES
try:
from panopticapi.utils import rgb2id
except ImportError:
rgb2id = None
@HOI_PIPELINES.register_module()
class LoadImageFromFile:
"""Load an image from file.
Required keys are "img_prefix" and "img_info" (... | mmhoidet/datasets/pipelines/loading.py | import os.path as osp
import mmcv
import numpy as np
from ..builder import HOI_PIPELINES
try:
from panopticapi.utils import rgb2id
except ImportError:
rgb2id = None
@HOI_PIPELINES.register_module()
class LoadImageFromFile:
"""Load an image from file.
Required keys are "img_prefix" and "img_info" (... | 0.787605 | 0.276886 |
from abc import abstractmethod
from operator import attrgetter
import itertools
from ..util import ABCObject, FillMissingNotEqual
class PMPackageMatcher(ABCObject):
"""
Base class for a package matcher.
Package matcher is basically a function (or function class wrapper) which
checks the package for match.
"""
... | gentoopm/basepm/filter.py |
from abc import abstractmethod
from operator import attrgetter
import itertools
from ..util import ABCObject, FillMissingNotEqual
class PMPackageMatcher(ABCObject):
"""
Base class for a package matcher.
Package matcher is basically a function (or function class wrapper) which
checks the package for match.
"""
... | 0.746693 | 0.328153 |
from typing import Union, Any, Optional
from collections import abc
import graphql
from jessiql import QueryObjectDict, QueryObject
from .query_object_argument import get_query_argument_name_for
from .selection import collect_fields
from .query_field import QueryFieldFunc, QueryFieldInfo, query_every_field
def que... | jessiql/integration/graphql/query_object.py | from typing import Union, Any, Optional
from collections import abc
import graphql
from jessiql import QueryObjectDict, QueryObject
from .query_object_argument import get_query_argument_name_for
from .selection import collect_fields
from .query_field import QueryFieldFunc, QueryFieldInfo, query_every_field
def que... | 0.935043 | 0.437223 |
from __future__ import (
absolute_import, division, print_function, unicode_literals)
import savalidation.validators as val
from pprint import pprint
from datetime import datetime as dt, date as d
from app import db
from savalidation import ValidationMixin
from flask_sqlalchemy import SQLAlchemy
from sqlalchem... | app/models/cronus.py |
from __future__ import (
absolute_import, division, print_function, unicode_literals)
import savalidation.validators as val
from pprint import pprint
from datetime import datetime as dt, date as d
from app import db
from savalidation import ValidationMixin
from flask_sqlalchemy import SQLAlchemy
from sqlalchem... | 0.583678 | 0.058265 |
import pandas as pd
import numpy as np
import itertools
import warnings
from models.ARIMA import arima
from statsmodels.tsa.stattools import adfuller
from sklearn import metrics
warnings.filterwarnings('ignore')
def read_data(filename):
"""
Read the csv file and create dataframe
"""
df = pd.read_csv(... | data_loading.py | import pandas as pd
import numpy as np
import itertools
import warnings
from models.ARIMA import arima
from statsmodels.tsa.stattools import adfuller
from sklearn import metrics
warnings.filterwarnings('ignore')
def read_data(filename):
"""
Read the csv file and create dataframe
"""
df = pd.read_csv(... | 0.383872 | 0.432183 |
from jinja2 import Template
import re
import madflow.custom_op.constants as op_co
import madflow.custom_op.classes as op_cl
import madflow.custom_op.generation as op_gen
import madflow.custom_op.global_constants as op_gc
def template_with_string(template_string, variable):
template = Template(template_string)
... | python_package/madflow/custom_op/write_templates.py |
from jinja2 import Template
import re
import madflow.custom_op.constants as op_co
import madflow.custom_op.classes as op_cl
import madflow.custom_op.generation as op_gen
import madflow.custom_op.global_constants as op_gc
def template_with_string(template_string, variable):
template = Template(template_string)
... | 0.419648 | 0.310995 |
from pykinect_azure.k4a import _k4a
class Configuration:
def __init__(self, configuration_handle=None):
if configuration_handle:
self._handle = configuration_handle
else:
self.create()
def handle(self):
return self._handle
def __setattr__(self, name, value):
"""Run on change function when configu... | pykinect_azure/k4a/configuration.py | from pykinect_azure.k4a import _k4a
class Configuration:
def __init__(self, configuration_handle=None):
if configuration_handle:
self._handle = configuration_handle
else:
self.create()
def handle(self):
return self._handle
def __setattr__(self, name, value):
"""Run on change function when configu... | 0.525369 | 0.288506 |
from event import Event
from mouseevent import MouseEvent
class TouchEvent(MouseEvent):
TOUCH_BEGIN = "touchBegin"
TOUCH_END = "touchEnd"
TOUCH_MOVE = "touchMove"
TOUCH_OUT = "touchOut"
TOUCH_OVER = "touchOver"
TOUCH_ROLL_OUT = "touchRollOut"
TOUCH_R... | flappy/events/touchevent.py |
from event import Event
from mouseevent import MouseEvent
class TouchEvent(MouseEvent):
TOUCH_BEGIN = "touchBegin"
TOUCH_END = "touchEnd"
TOUCH_MOVE = "touchMove"
TOUCH_OUT = "touchOut"
TOUCH_OVER = "touchOver"
TOUCH_ROLL_OUT = "touchRollOut"
TOUCH_R... | 0.494385 | 0.094636 |
import numba as nb
import numpy as np
from numpy import int32, float64
@nb.njit(fastmath=True)
def csr_to_coo(data, indices, indptr):
row = np.empty(len(data), dtype=int32)
col = np.empty(len(data), dtype=int32)
nz = 0
for i in range(len(indptr) - 1):
for c in range(indptr[i], indptr[i+1]):
... | fastse/performance.py |
import numba as nb
import numpy as np
from numpy import int32, float64
@nb.njit(fastmath=True)
def csr_to_coo(data, indices, indptr):
row = np.empty(len(data), dtype=int32)
col = np.empty(len(data), dtype=int32)
nz = 0
for i in range(len(indptr) - 1):
for c in range(indptr[i], indptr[i+1]):
... | 0.518546 | 0.543711 |
import numpy as np
from tqdm import tqdm
from .candidate import Candidate
from .double_metaphone import dm
from .edit_distance import edits_n, damerau_levenshtein_distance
from .vocab import Vocab
class CandidatesGenerator(Vocab):
"""
Vocab provides dictionary to query lexicon data as strings as well as toke... | scripts/non_trainable/candidates_generation.py | import numpy as np
from tqdm import tqdm
from .candidate import Candidate
from .double_metaphone import dm
from .edit_distance import edits_n, damerau_levenshtein_distance
from .vocab import Vocab
class CandidatesGenerator(Vocab):
"""
Vocab provides dictionary to query lexicon data as strings as well as toke... | 0.592667 | 0.241109 |
import unittest
import numpy as np
from btb import HyperParameter, ParamTypes
from btb.tuning.gcp import GCP, GCPEi, GCPEiVelocity
from btb.tuning.gp import GP, GPEi, GPEiVelocity
from btb.tuning.tuner import BaseTuner
from btb.tuning.uniform import Uniform
class TestTuner(unittest.TestCase):
def setUp(self):
... | tests/btb/tuning/test_tuner_old.py | import unittest
import numpy as np
from btb import HyperParameter, ParamTypes
from btb.tuning.gcp import GCP, GCPEi, GCPEiVelocity
from btb.tuning.gp import GP, GPEi, GPEiVelocity
from btb.tuning.tuner import BaseTuner
from btb.tuning.uniform import Uniform
class TestTuner(unittest.TestCase):
def setUp(self):
... | 0.550366 | 0.630742 |
"""fabric tensors in Mandel6 notation
"""
import numpy as np
import mechkit
class Basic(object):
r"""
Fabric tensors of the first kind ([Kanatani1984]_) for special cases
- iso
- planar_iso_xy
- planar_iso_xz
- planar_iso_yz
- ud_x
- ud_y
- ud_z
.. rubric:: References
..... | mechkit/fabric_tensors.py | """fabric tensors in Mandel6 notation
"""
import numpy as np
import mechkit
class Basic(object):
r"""
Fabric tensors of the first kind ([Kanatani1984]_) for special cases
- iso
- planar_iso_xy
- planar_iso_xz
- planar_iso_yz
- ud_x
- ud_y
- ud_z
.. rubric:: References
..... | 0.769687 | 0.524943 |
import json
from odoo import http, tests
from odoo.tools import mute_logger
@tests.tagged('post_install', '-at_install')
class TestUi(tests.HttpCase):
@mute_logger('odoo.addons.http_routing.models.ir_http', 'odoo.http')
def test_01_portal_attachment(self):
"""Test the portal chatter attachment rout... | odoo-13.0/addons/account/tests/test_portal_attachment.py |
import json
from odoo import http, tests
from odoo.tools import mute_logger
@tests.tagged('post_install', '-at_install')
class TestUi(tests.HttpCase):
@mute_logger('odoo.addons.http_routing.models.ir_http', 'odoo.http')
def test_01_portal_attachment(self):
"""Test the portal chatter attachment rout... | 0.522933 | 0.166913 |
import random
from .. import utils
from . import Document, const, Element
class CommentsBookDocument(Document):
""" `CommentsBookDocument` as central object correspond XMind comment file.
such as:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<comments version="2.0" xmlns="urn:xmind:xmap:xm... | clitool/utils/xmind_sdk/core/comments.py | import random
from .. import utils
from . import Document, const, Element
class CommentsBookDocument(Document):
""" `CommentsBookDocument` as central object correspond XMind comment file.
such as:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<comments version="2.0" xmlns="urn:xmind:xmap:xm... | 0.586878 | 0.161849 |
from pubnub import Pubnub as PubnubNetwork
import sys
import urllib2
"""
{"response_channel":"client","request":{"url":"http://a.pubnub.com/time/0"}}
"""
## -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
## Get Args
## -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=... | server/server.py |
from pubnub import Pubnub as PubnubNetwork
import sys
import urllib2
"""
{"response_channel":"client","request":{"url":"http://a.pubnub.com/time/0"}}
"""
## -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-
## Get Args
## -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=... | 0.195402 | 0.042483 |
import numpy as np
import cv2
import glob
import matplotlib.pyplot as plt
from Line import Line
class Camera():
def __init__(self):
self.M = None
self.M_inv = None
self.img_size = None
self.ret = None
self.mtx = None
self.dist = None
self.rvecs = Non... | Camera.py | import numpy as np
import cv2
import glob
import matplotlib.pyplot as plt
from Line import Line
class Camera():
def __init__(self):
self.M = None
self.M_inv = None
self.img_size = None
self.ret = None
self.mtx = None
self.dist = None
self.rvecs = Non... | 0.596903 | 0.396769 |
import io
import os
import shutil
import argparse
from pkg_resources import resource_filename, resource_string
from serene_metadata import DEFINED_FIELDS_DICT
def gen_patch(lines):
data = [
'212,{}d188'.format(212 + len(lines) - 1)
]
data.extend(
map(
lambda _:u'< {}'.f... | serene_solr_config/serene_solr_config/main.py | import io
import os
import shutil
import argparse
from pkg_resources import resource_filename, resource_string
from serene_metadata import DEFINED_FIELDS_DICT
def gen_patch(lines):
data = [
'212,{}d188'.format(212 + len(lines) - 1)
]
data.extend(
map(
lambda _:u'< {}'.f... | 0.271348 | 0.078926 |
import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
path = 'attendence_images'
images = []
classNames = []
myList = os.listdir(path)
for cls in myList:
curImg = cv2.imread(f'{path}/{cls}')
images.append(curImg)
classNames.append(os.path.splitext(cls)[0])
print(classNames)... | AttendenceProject.py | import cv2
import numpy as np
import face_recognition
import os
from datetime import datetime
path = 'attendence_images'
images = []
classNames = []
myList = os.listdir(path)
for cls in myList:
curImg = cv2.imread(f'{path}/{cls}')
images.append(curImg)
classNames.append(os.path.splitext(cls)[0])
print(classNames)... | 0.177704 | 0.197039 |
import datetime
from ddt import ddt
from mock import Mock, MagicMock, call, ANY
from tests import TestCase, ReadContentMixin
from sqlalchemy import Column, Integer, ForeignKey, String
from monitorrent.utils.bittorrent_ex import Torrent
from monitorrent.engine import Engine, EngineExecute, EngineTrackers, EngineTracke... | tests/test_engine_execute.py | import datetime
from ddt import ddt
from mock import Mock, MagicMock, call, ANY
from tests import TestCase, ReadContentMixin
from sqlalchemy import Column, Integer, ForeignKey, String
from monitorrent.utils.bittorrent_ex import Torrent
from monitorrent.engine import Engine, EngineExecute, EngineTrackers, EngineTracke... | 0.652906 | 0.237698 |
expected_output = {
'version': { 'bootldr_version': 'System Bootstrap, Version 17.1.1r, '
'RELEASE SOFTWARE (P)',
'chassis': 'C9500-12Q',
'code_name': 'Amsterdam',
'compiled_by': 'mcpre',
'compiled_dat... | src/genie/libs/parser/iosxe/c9500/tests/ShowVersion/cli/equal/golden_output_c9500_2_expected.py | expected_output = {
'version': { 'bootldr_version': 'System Bootstrap, Version 17.1.1r, '
'RELEASE SOFTWARE (P)',
'chassis': 'C9500-12Q',
'code_name': 'Amsterdam',
'compiled_by': 'mcpre',
'compiled_dat... | 0.442155 | 0.313551 |
import numpy as np
key = "YOUR_YOUTUBE_API_KEY" # replace this key value with Youtube API key
arrholo = np.array([
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<N... | data.py | import numpy as np
key = "YOUR_YOUTUBE_API_KEY" # replace this key value with Youtube API key
arrholo = np.array([
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<NAME>",
"<N... | 0.091633 | 0.049612 |
import time
import logging
from django.conf import settings
from zipkin import local
from zipkin.api import get_current_trace, stack_trace
from zipkin.models import Trace, Annotation, Endpoint
from zipkin.util import int_or_none
from zipkin.client import log as zipkin_log
from .apps import ZipkinConfig
log = loggi... | zipkin/binding/django/middleware.py | import time
import logging
from django.conf import settings
from zipkin import local
from zipkin.api import get_current_trace, stack_trace
from zipkin.models import Trace, Annotation, Endpoint
from zipkin.util import int_or_none
from zipkin.client import log as zipkin_log
from .apps import ZipkinConfig
log = loggi... | 0.324021 | 0.095814 |
from django.contrib.auth.base_user import AbstractBaseUser
from django.contrib.auth.models import UserManager
from django.db import models
from django.urls import reverse_lazy
from django.utils.translation import ugettext_lazy
from .utils import update_player_racing_stats
from trax.utils import get_object_by_string
c... | website/players/models.py | from django.contrib.auth.base_user import AbstractBaseUser
from django.contrib.auth.models import UserManager
from django.db import models
from django.urls import reverse_lazy
from django.utils.translation import ugettext_lazy
from .utils import update_player_racing_stats
from trax.utils import get_object_by_string
c... | 0.513668 | 0.083703 |
class ActionMappings(object):
"""
Stores the mappings of the input events to game specific actions.
"""
def __init__(self, name):
self.name = name
self.mappings = {} # keys are the event names and values the action names
def getName(self):
... | src/pano/model/ActionMappings.py | class ActionMappings(object):
"""
Stores the mappings of the input events to game specific actions.
"""
def __init__(self, name):
self.name = name
self.mappings = {} # keys are the event names and values the action names
def getName(self):
... | 0.817938 | 0.280233 |
from server.search.search_result import SearchResult
from providers.entities.abstract_entity import AbstractEntity
from providers.providers_manager import ProviderManager
from providers.abstract_search_provider import AbstractSearchProvider
from threading import Thread
from providers.entities.genre import Genre
from pr... | server/search/search.py | from server.search.search_result import SearchResult
from providers.entities.abstract_entity import AbstractEntity
from providers.providers_manager import ProviderManager
from providers.abstract_search_provider import AbstractSearchProvider
from threading import Thread
from providers.entities.genre import Genre
from pr... | 0.735452 | 0.239939 |
from transX import TransX
import tensorflow as tf
import tf_euler
class TransE(TransX):
def __init__(self, node_type, edge_type,
node_max_id, edge_max_id,
ent_dim, rel_dim,
num_negs=5, margin=1.,
l1=True, metric_name='mrr',
corr... | examples/TransX/transE.py |
from transX import TransX
import tensorflow as tf
import tf_euler
class TransE(TransX):
def __init__(self, node_type, edge_type,
node_max_id, edge_max_id,
ent_dim, rel_dim,
num_negs=5, margin=1.,
l1=True, metric_name='mrr',
corr... | 0.845847 | 0.201479 |
import os
from datetime import timedelta
from decouple import config, Csv
from email.utils import getaddresses
import secret_django_settings as secrets
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = secrets.SECRET_KEY
DEBUG = config('DEBUG', default=False, cast=bool)
DJANGO_ENV... | api/simplepasswords_api/settings.py | import os
from datetime import timedelta
from decouple import config, Csv
from email.utils import getaddresses
import secret_django_settings as secrets
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = secrets.SECRET_KEY
DEBUG = config('DEBUG', default=False, cast=bool)
DJANGO_ENV... | 0.261142 | 0.050917 |
from textblob import TextBlob
def get_sentiment_dict(comments):
"""
creates the sentiment dict. Key is the comment, value is the sentiment polarity.
"""
s_dict = {}
for comment in comments:
blob = TextBlob(comment)
s_dict[comment] = blob.sentiment.polarity
s = [(k, s_dict[k]) fo... | sentiment_analyzer.py | from textblob import TextBlob
def get_sentiment_dict(comments):
"""
creates the sentiment dict. Key is the comment, value is the sentiment polarity.
"""
s_dict = {}
for comment in comments:
blob = TextBlob(comment)
s_dict[comment] = blob.sentiment.polarity
s = [(k, s_dict[k]) fo... | 0.521959 | 0.416144 |
from spack import *
class Cgns(CMakePackage):
"""The CFD General Notation System (CGNS) provides a general, portable,
and extensible standard for the storage and retrieval of computational
fluid dynamics (CFD) analysis data."""
homepage = "http://cgns.github.io/"
url = "https://github.com/CG... | package/spack-cgns/package.py | from spack import *
class Cgns(CMakePackage):
"""The CFD General Notation System (CGNS) provides a general, portable,
and extensible standard for the storage and retrieval of computational
fluid dynamics (CFD) analysis data."""
homepage = "http://cgns.github.io/"
url = "https://github.com/CG... | 0.720565 | 0.23392 |
import bs4 as bs
import urllib.request
import re
import nltk
import numpy as np
import random
import string
import spacy
dados = urllib.request.urlopen('https://tecnoblog.net/263808/o-que-e-inteligencia-artificial/')
dados = dados.read()
dados_html = bs.BeautifulSoup(dados, 'lxml')
paragrafos = dados_html.find_all('p')... | chatbot completo.py | import bs4 as bs
import urllib.request
import re
import nltk
import numpy as np
import random
import string
import spacy
dados = urllib.request.urlopen('https://tecnoblog.net/263808/o-que-e-inteligencia-artificial/')
dados = dados.read()
dados_html = bs.BeautifulSoup(dados, 'lxml')
paragrafos = dados_html.find_all('p')... | 0.117724 | 0.107742 |
import argparse, os, h5py, pickle, time
import numpy as np
from scipy.stats import mode
from sklearn.model_selection import StratifiedKFold
from mpi4py import MPI
from pyuoi import UoI_L1Logistic
from pyuoi.mpi_utils import Bcast_from_root
from hangul_analysis.variables import label_df, n_blocks
exp_names = {'i': ... | hangul_analysis/scripts/vae/vae_logreg_uoi.py | import argparse, os, h5py, pickle, time
import numpy as np
from scipy.stats import mode
from sklearn.model_selection import StratifiedKFold
from mpi4py import MPI
from pyuoi import UoI_L1Logistic
from pyuoi.mpi_utils import Bcast_from_root
from hangul_analysis.variables import label_df, n_blocks
exp_names = {'i': ... | 0.512449 | 0.247824 |
from django.conf import settings
import json
def is_json(storage_field):
try:
_ = json.loads(storage_field)
return True
except:
return False
class UserFieldMixin:
"""Mixin that adds the necessary data retrieval and storage
functions to an object storing data from extra field... | user_fields/mixins.py | from django.conf import settings
import json
def is_json(storage_field):
try:
_ = json.loads(storage_field)
return True
except:
return False
class UserFieldMixin:
"""Mixin that adds the necessary data retrieval and storage
functions to an object storing data from extra field... | 0.584153 | 0.253266 |
import os
import json
import urllib.parse
from flask import Flask, request, render_template, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError,
LineBotApiError,
)
from linebot.models import *
app = Flask(__name__)
# 環境変数読み込み
line_channel_acce... | bot.py | import os
import json
import urllib.parse
from flask import Flask, request, render_template, abort
from linebot import (
LineBotApi, WebhookHandler
)
from linebot.exceptions import (
InvalidSignatureError,
LineBotApiError,
)
from linebot.models import *
app = Flask(__name__)
# 環境変数読み込み
line_channel_acce... | 0.21917 | 0.093017 |
import importlib
import inspect
import os
import pathlib
import sys
from functools import partial
from itertools import chain
from typing import Generator, Optional, Tuple, Type
from xappt.constants import *
from xappt.config import log as logger
from xappt.models import BaseTool, BaseInterface
from xappt.models.plug... | xappt/managers/plugin_manager.py | import importlib
import inspect
import os
import pathlib
import sys
from functools import partial
from itertools import chain
from typing import Generator, Optional, Tuple, Type
from xappt.constants import *
from xappt.config import log as logger
from xappt.models import BaseTool, BaseInterface
from xappt.models.plug... | 0.467089 | 0.057045 |
import json
from ale.transformation import FrameNode
from ale.rotation import ConstantRotation, TimeDependentRotation
from ale.encoders import NumpyEncoder
def to_isis(driver):
"""
Formatter to create ISIS sensor model meta data from a driver.
Parameters
----------
driver : Driver
Concret... | ale/formatters/isis_formatter.py | import json
from ale.transformation import FrameNode
from ale.rotation import ConstantRotation, TimeDependentRotation
from ale.encoders import NumpyEncoder
def to_isis(driver):
"""
Formatter to create ISIS sensor model meta data from a driver.
Parameters
----------
driver : Driver
Concret... | 0.813313 | 0.356587 |
from flask_restful import Resource, reqparse
from models.hotel import HotelModel
hotels = [
{
'hotel_id': 'alpha',
'name': '<NAME>el',
'stars': 4.3,
'daily': 420.34,
'city': 'Rio de Janeiro'
},
{
'hotel_id': 'alpha',
'name': '<NAME>el',
... | src/resources/hotel.py | from flask_restful import Resource, reqparse
from models.hotel import HotelModel
hotels = [
{
'hotel_id': 'alpha',
'name': '<NAME>el',
'stars': 4.3,
'daily': 420.34,
'city': 'Rio de Janeiro'
},
{
'hotel_id': 'alpha',
'name': '<NAME>el',
... | 0.371593 | 0.084568 |
import re
from bottle import route, run, template
# shamelessly stolen from https://www.w3schools.com/howto/howto_js_sort_table.asp
js = """
<script>
function sortTable(n) {
var table, rows, switching, i, x, y, shouldSwitch, dir, switchcount = 0;
table = document.getElementById("tbl");
switching = true;
dir =... | app.py | import re
from bottle import route, run, template
# shamelessly stolen from https://www.w3schools.com/howto/howto_js_sort_table.asp
js = """
<script>
function sortTable(n) {
var table, rows, switching, i, x, y, shouldSwitch, dir, switchcount = 0;
table = document.getElementById("tbl");
switching = true;
dir =... | 0.215598 | 0.181191 |
import datetime
import os
import configparser
import progressbar
import string
import codecs
import json
from instapaper import Instapaper
# Init instapaper with key, secret, login and password
def init():
# Read credentials from Credentials.ini file
configParser = configparser.RawConfigParser()
configPar... | downloader.py | import datetime
import os
import configparser
import progressbar
import string
import codecs
import json
from instapaper import Instapaper
# Init instapaper with key, secret, login and password
def init():
# Read credentials from Credentials.ini file
configParser = configparser.RawConfigParser()
configPar... | 0.234494 | 0.132458 |
from templates import *
template_list = [
("lexical_overlap", "ln_subject/object_swap", "non-entailment", lex_simple_templates),
("lexical_overlap", "ln_preposition", "non-entailment", lex_prep_templates),
("lexical_overlap", "ln_relative_clause", "non-entailment", lex_rc_templates),
... | corpus_generator.py | from templates import *
template_list = [
("lexical_overlap", "ln_subject/object_swap", "non-entailment", lex_simple_templates),
("lexical_overlap", "ln_preposition", "non-entailment", lex_prep_templates),
("lexical_overlap", "ln_relative_clause", "non-entailment", lex_rc_templates),
... | 0.237046 | 0.271397 |
from time import time
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.axes3d import Axes3D
from sklearn import (manifold, datasets, decomposition, ensemble, lda,random_projection)
#%%
#加载数据，显示数据
digits = datasets.load_digits(n_class=5)
X = digits.data
y = digits.target
print X.shape
n_img_... | ManifoldLearning/DimensionalityReduction_DataVisualizing/data_visualizing.py | from time import time
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.axes3d import Axes3D
from sklearn import (manifold, datasets, decomposition, ensemble, lda,random_projection)
#%%
#加载数据，显示数据
digits = datasets.load_digits(n_class=5)
X = digits.data
y = digits.target
print X.shape
n_img_... | 0.428473 | 0.560914 |
try:
# available in Python 2.7+
from collections import OrderedDict
except ImportError:
from django.utils.datastructures import SortedDict as OrderedDict
from django.utils.six import iteritems
from .base import ParamMetadata
class Output(ParamMetadata):
# pylint: disable=too-few-public-methods,too-m... | eoxserver/services/ows/wps/parameters/response_form.py |
try:
# available in Python 2.7+
from collections import OrderedDict
except ImportError:
from django.utils.datastructures import SortedDict as OrderedDict
from django.utils.six import iteritems
from .base import ParamMetadata
class Output(ParamMetadata):
# pylint: disable=too-few-public-methods,too-m... | 0.864711 | 0.305775 |
from api.utils import failure_response
from api.utils import success_response
from path.models import Path
from person.models import Person
from rest_framework import status
from ..models import Ride
class CreateRideController:
def __init__(self, request, data, serializer):
self._request = request
... | src/ride/controllers/create_ride_controller.py | from api.utils import failure_response
from api.utils import success_response
from path.models import Path
from person.models import Person
from rest_framework import status
from ..models import Ride
class CreateRideController:
def __init__(self, request, data, serializer):
self._request = request
... | 0.669853 | 0.108236 |
class Node(object):
def __init__(self, item, next=None):
self.item = item
self.next = next
def __str__(self):
if self.next == None:
return '{}'.format(self.item)
else:
return '{}, {}'.format(self.next, self.item)
class LinkedList(object):
def __init__... | source_code/linkedlist.py |
class Node(object):
def __init__(self, item, next=None):
self.item = item
self.next = next
def __str__(self):
if self.next == None:
return '{}'.format(self.item)
else:
return '{}, {}'.format(self.next, self.item)
class LinkedList(object):
def __init__... | 0.42477 | 0.054399 |
from glob import glob
import argparse
import templaty
from difflib import Differ
import os
import sys
def write_diff(actual, expected):
sys.stderr.writelines(Differ().compare(actual.splitlines(keepends=True), expected.splitlines(keepends=True)))
def do_save_cmd(args):
for pattern in args.files:
for p... | test.py |
from glob import glob
import argparse
import templaty
from difflib import Differ
import os
import sys
def write_diff(actual, expected):
sys.stderr.writelines(Differ().compare(actual.splitlines(keepends=True), expected.splitlines(keepends=True)))
def do_save_cmd(args):
for pattern in args.files:
for p... | 0.227813 | 0.261817 |
import logging
import struct
import sys
# this is the stupidest shit... in test context, we don't want to blow up
# importing piplates because we don't have spidev, but there's not a
# reasonable way to mock side-effectful imports that works in python 2, and
# checking python 2 compatibility is the entire point of the... | piplate_modbus/datablocks.py | import logging
import struct
import sys
# this is the stupidest shit... in test context, we don't want to blow up
# importing piplates because we don't have spidev, but there's not a
# reasonable way to mock side-effectful imports that works in python 2, and
# checking python 2 compatibility is the entire point of the... | 0.549157 | 0.293095 |
import numpy as np
import tensorflow as tf
class Encoder(tf.keras.layers.Layer):
def __init__(self, n_layers, d_model, num_heads, middle_units,
max_seq_len, epsilon=1e-6, dropout_rate=0.1, training=False, **kwargs):
super(Encoder, self).__init__(**kwargs)
self.n_layers = n_layer... | didi/deep/dfm_decor/online/modules.py |
import numpy as np
import tensorflow as tf
class Encoder(tf.keras.layers.Layer):
def __init__(self, n_layers, d_model, num_heads, middle_units,
max_seq_len, epsilon=1e-6, dropout_rate=0.1, training=False, **kwargs):
super(Encoder, self).__init__(**kwargs)
self.n_layers = n_layer... | 0.882763 | 0.327252 |
from jinja2 import Template,Environment, PackageLoader, select_autoescape
from date_locals_enums import Timezone, Spacer
import logging
import os
import datetime
import sys
locale = 'de_DE'
messages = []
class Message(object):
def __init__(self, timestamp, direction):
self.timestamp = timestamp
s... | threema_renderer.py | from jinja2 import Template,Environment, PackageLoader, select_autoescape
from date_locals_enums import Timezone, Spacer
import logging
import os
import datetime
import sys
locale = 'de_DE'
messages = []
class Message(object):
def __init__(self, timestamp, direction):
self.timestamp = timestamp
s... | 0.347759 | 0.089933 |
import tkinter as tk
from tkinter import *
from random import randint
from sudoku import SudokuBrain
class TableWindow:
def __init__(self):
self.window = tk.Tk()
self.window.geometry("300x300+100+100")
# self.window.minsize(width=400, height=400)
self.window.title("Sudoku Solver"... | tableUI.py | import tkinter as tk
from tkinter import *
from random import randint
from sudoku import SudokuBrain
class TableWindow:
def __init__(self):
self.window = tk.Tk()
self.window.geometry("300x300+100+100")
# self.window.minsize(width=400, height=400)
self.window.title("Sudoku Solver"... | 0.159675 | 0.193262 |
import os
import shutil
from pathlib import Path
from flexlate_dev.ignore import IgnoreSpecification
from tests.fixtures.temp_dir import inside_generated_dir
def test_ignore_file(inside_generated_dir):
ignore = IgnoreSpecification(ignore_list=["a.txt"])
_make_file_and_check_ignore("a.txt", ignore, True)
... | tests/test_ignore.py | import os
import shutil
from pathlib import Path
from flexlate_dev.ignore import IgnoreSpecification
from tests.fixtures.temp_dir import inside_generated_dir
def test_ignore_file(inside_generated_dir):
ignore = IgnoreSpecification(ignore_list=["a.txt"])
_make_file_and_check_ignore("a.txt", ignore, True)
... | 0.228243 | 0.387922 |
from pysubyt import Settings
from itertools import product
import random
import unittest
from util4tests import run_single_test
class TestSettings(unittest.TestCase):
def test_statics(self):
descr = Settings.describe()
self.assertTrue(descr, "generic description should not be empty")
self... | tests/test_settings.py | from pysubyt import Settings
from itertools import product
import random
import unittest
from util4tests import run_single_test
class TestSettings(unittest.TestCase):
def test_statics(self):
descr = Settings.describe()
self.assertTrue(descr, "generic description should not be empty")
self... | 0.433502 | 0.432782 |
import sys
import datetime
import argparse
import requests
from webhook_sender import CFG, models, logger, ses
MULTIPLIER = int(CFG.get('webhook', 'MULTIPLIER'))
RETRIES = int(CFG.get('webhook', 'RETRIES'))
def send_webhook(webhook, commit=False):
"""
Send a single webhook.
If successful, sent as recei... | webhook_sender/sender.py | import sys
import datetime
import argparse
import requests
from webhook_sender import CFG, models, logger, ses
MULTIPLIER = int(CFG.get('webhook', 'MULTIPLIER'))
RETRIES = int(CFG.get('webhook', 'RETRIES'))
def send_webhook(webhook, commit=False):
"""
Send a single webhook.
If successful, sent as recei... | 0.258607 | 0.072933 |
import torch
import torch.nn as nn
def infoLOOB_loss(x, y, i, inv_tau):
tau = 1 / inv_tau
k = x @ y.T / tau
positives = -torch.mean(torch.sum(k * i, dim=1))
# For logsumexp the zero entries must be equal to a very large negative number
large_neg = -1000.0
arg_lse = k * torch.logical_not(i) + ... | src/training/methods.py | import torch
import torch.nn as nn
def infoLOOB_loss(x, y, i, inv_tau):
tau = 1 / inv_tau
k = x @ y.T / tau
positives = -torch.mean(torch.sum(k * i, dim=1))
# For logsumexp the zero entries must be equal to a very large negative number
large_neg = -1000.0
arg_lse = k * torch.logical_not(i) + ... | 0.784236 | 0.583975 |
from marcottievents.models import DeclEnum
class GroupRoundType(DeclEnum):
"""
Enumerated names of rounds in group stages of football competitions.
"""
group_stage = "Group Stage", "Group Stage"
first_round = "First Round", "First Round"
second_round = "Second Round", "Second Round"
third_... | marcottievents/models/common/enums.py | from marcottievents.models import DeclEnum
class GroupRoundType(DeclEnum):
"""
Enumerated names of rounds in group stages of football competitions.
"""
group_stage = "Group Stage", "Group Stage"
first_round = "First Round", "First Round"
second_round = "Second Round", "Second Round"
third_... | 0.692122 | 0.354629 |
from flask import Flask, json, jsonify, request, make_response
from lib.config import get_config
from lib.db import HapaasRedis
app = Flask(__name__)
config = get_config()
api_base_url = "http://{}:{}/api/v1".format(config.get('api','host'), config.get('api','port'))
@app.route('/config')
def handle_config():
re... | api/api.py | from flask import Flask, json, jsonify, request, make_response
from lib.config import get_config
from lib.db import HapaasRedis
app = Flask(__name__)
config = get_config()
api_base_url = "http://{}:{}/api/v1".format(config.get('api','host'), config.get('api','port'))
@app.route('/config')
def handle_config():
re... | 0.265119 | 0.0559 |
from PySide import QtCore, QtGui
from xldlib.controllers import bindings
from xldlib.definitions import partial
from xldlib.gui.views import widgets
from xldlib.qt.resources import configurations as qt_config
from xldlib.resources import chemical_defs
from xldlib.utils import decorators, logger
from . import profiles... | xldlib/gui/views/discoverer/crosslinkers.py | from PySide import QtCore, QtGui
from xldlib.controllers import bindings
from xldlib.definitions import partial
from xldlib.gui.views import widgets
from xldlib.qt.resources import configurations as qt_config
from xldlib.resources import chemical_defs
from xldlib.utils import decorators, logger
from . import profiles... | 0.710025 | 0.164315 |
import os
import datetime
from statslib.utils.dates import t_to_str_file_name
from statslib.utils.log import Logger
from statslib.utils.common import report_run_time
def create_file_name(mask=None,
folder=r'C:\temp',
extension='csv',
unique=True,
... | statslib/utils/file.py | import os
import datetime
from statslib.utils.dates import t_to_str_file_name
from statslib.utils.log import Logger
from statslib.utils.common import report_run_time
def create_file_name(mask=None,
folder=r'C:\temp',
extension='csv',
unique=True,
... | 0.154089 | 0.059428 |
import unittest
import json
from cutlass import Study
from cutlass import MIXS, MixsException
from CutlassTestConfig import CutlassTestConfig
from CutlassTestUtil import CutlassTestUtil
# pylint: disable=W0703, C1801
class StudyTest(unittest.TestCase):
""" A unit test class for the Study module. """
sessio... | tests/test_study.py | import unittest
import json
from cutlass import Study
from cutlass import MIXS, MixsException
from CutlassTestConfig import CutlassTestConfig
from CutlassTestUtil import CutlassTestUtil
# pylint: disable=W0703, C1801
class StudyTest(unittest.TestCase):
""" A unit test class for the Study module. """
sessio... | 0.569134 | 0.57684 |
"""Console script for shenshang."""
import sys
import os
from functools import partial
from logging import getLogger
import click
import pandas as pd
from .cooccur import compute_cooccur
from .util import convert_format
click.option = partial(click.option, show_default=True)
def decorator_composer(*decorators):
... | shenshang/cli.py |
"""Console script for shenshang."""
import sys
import os
from functools import partial
from logging import getLogger
import click
import pandas as pd
from .cooccur import compute_cooccur
from .util import convert_format
click.option = partial(click.option, show_default=True)
def decorator_composer(*decorators):
... | 0.592549 | 0.256006 |
import os
from base64 import b64encode
from pathlib import Path
from subprocess import run
import yaml
from charmhelpers.core import hookenv
from charms import layer
from charms.reactive import clear_flag, hook, set_flag, when, when_any, when_not
@hook('upgrade-charm')
def upgrade_charm():
clear_flag('charm.sta... | charms/seldon-core/reactive/seldon_core.py | import os
from base64 import b64encode
from pathlib import Path
from subprocess import run
import yaml
from charmhelpers.core import hookenv
from charms import layer
from charms.reactive import clear_flag, hook, set_flag, when, when_any, when_not
@hook('upgrade-charm')
def upgrade_charm():
clear_flag('charm.sta... | 0.314577 | 0.056314 |
from PlantScriptTest import *
from ScriptReader import *
from Settings import *
import tkinter as tk
from tkinter import filedialog as tkf
import os
class App:
def __init__(self, root):
self.clearConsole()
self.root = root
self.root.title("PlantScriptTest App")
self.path = tk.Strin... | src/PlantScriptTestApp.py | from PlantScriptTest import *
from ScriptReader import *
from Settings import *
import tkinter as tk
from tkinter import filedialog as tkf
import os
class App:
def __init__(self, root):
self.clearConsole()
self.root = root
self.root.title("PlantScriptTest App")
self.path = tk.Strin... | 0.367043 | 0.099514 |
from __future__ import absolute_import, division, print_function
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
import statsmodels.api as sm
from statsmodels.graphics.api import qqplot
import nibabel as nib
# Relative path to subject 1 data
pathtodata = ".... | final/image_scripts/tsa_plots.py | from __future__ import absolute_import, division, print_function
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
import matplotlib.lines as mlines
import statsmodels.api as sm
from statsmodels.graphics.api import qqplot
import nibabel as nib
# Relative path to subject 1 data
pathtodata = ".... | 0.707304 | 0.64777 |
__all__ = ['AtlasFetcher']
import os
import numpy as np
import pandas as pd
import requests
import io
import loompy
import tempfile
class AtlasFetcher(object):
'''Fetch averaged cell atlas data'''
atlas_table = None
def fetch_atlas_table(self):
'''Fetch atlas table from GitHub repo'''
ur... | semiannotate/fetch_atlas.py | __all__ = ['AtlasFetcher']
import os
import numpy as np
import pandas as pd
import requests
import io
import loompy
import tempfile
class AtlasFetcher(object):
'''Fetch averaged cell atlas data'''
atlas_table = None
def fetch_atlas_table(self):
'''Fetch atlas table from GitHub repo'''
ur... | 0.600891 | 0.366817 |
from google.colab import drive
drive.mount('/content/drive')
from pyspark import SparkContext
from google.colab import drive
from pyspark.sql import SQLContext, Row
import pyspark.sql.functions as sqlf
# Create a Spark Context
sc = SparkContext.getOrCreate()
# Create a sql context
sqlc = SQLContext(sc)
# Analysis on... | BDA_Weather_analysis.py | from google.colab import drive
drive.mount('/content/drive')
from pyspark import SparkContext
from google.colab import drive
from pyspark.sql import SQLContext, Row
import pyspark.sql.functions as sqlf
# Create a Spark Context
sc = SparkContext.getOrCreate()
# Create a sql context
sqlc = SQLContext(sc)
# Analysis on... | 0.342462 | 0.394114 |
from datetime import datetime
from typing import Optional, List
from fastapi import APIRouter, Depends, HTTPException
from starlette.responses import StreamingResponse, HTMLResponse
from app import security
from app.apis.accountAPI import CitybikeAccount, Login, UserInfo, Ride, UphillChallenge, CurrentUphillChallenge... | app/routers/account.py | from datetime import datetime
from typing import Optional, List
from fastapi import APIRouter, Depends, HTTPException
from starlette.responses import StreamingResponse, HTMLResponse
from app import security
from app.apis.accountAPI import CitybikeAccount, Login, UserInfo, Ride, UphillChallenge, CurrentUphillChallenge... | 0.651022 | 0.104752 |
import logging
import re
import sys
import cmdln
from project.lib.csv_celery_generator import CsvCeleryGenerator
from project.lib.csv_generator import CsvGenerator
from project.lib.csv_mp_generator import CsvMpGenerator
from project.lib.csv_rx_generator import CsvRxGenerator
from project.lib.utils import Utils
loggi... | project/lib/main_command.py | import logging
import re
import sys
import cmdln
from project.lib.csv_celery_generator import CsvCeleryGenerator
from project.lib.csv_generator import CsvGenerator
from project.lib.csv_mp_generator import CsvMpGenerator
from project.lib.csv_rx_generator import CsvRxGenerator
from project.lib.utils import Utils
loggi... | 0.225587 | 0.075007 |
import logging
import math
import os
from typing import Tuple
ZERO_DIVISION_RETURN = -1.0
def get_log_filepath(log_filename: str) -> str:
log_root = "../logs"
log_filename = log_filename + ".log"
return os.path.join(log_root, log_filename)
def configure_logger_by_default(logger: logging.Logger) -> Non... | psob_authorship/features/utils.py | import logging
import math
import os
from typing import Tuple
ZERO_DIVISION_RETURN = -1.0
def get_log_filepath(log_filename: str) -> str:
log_root = "../logs"
log_filename = log_filename + ".log"
return os.path.join(log_root, log_filename)
def configure_logger_by_default(logger: logging.Logger) -> Non... | 0.653238 | 0.233575 |
import numpy as np
from sklearn.model_selection import KFold, StratifiedKFold, ShuffleSplit, StratifiedShuffleSplit
from mlutils.settings import Settings
from mlutils.util.serialize import save_yaml
class Splitter:
def __init__(self, stratified):
assert hasattr(self, 'outer_splitter'), "You must define ... | mlutils/data/splitter.py | import numpy as np
from sklearn.model_selection import KFold, StratifiedKFold, ShuffleSplit, StratifiedShuffleSplit
from mlutils.settings import Settings
from mlutils.util.serialize import save_yaml
class Splitter:
def __init__(self, stratified):
assert hasattr(self, 'outer_splitter'), "You must define ... | 0.672117 | 0.302031 |
from datetime import timedelta
import logging
from unittest.mock import patch
from pytest_homeassistant_custom_component.common import MockConfigEntry
from custom_components.keymaster.const import DOMAIN
from homeassistant import setup
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
from homeassis... | tests/test_init.py | from datetime import timedelta
import logging
from unittest.mock import patch
from pytest_homeassistant_custom_component.common import MockConfigEntry
from custom_components.keymaster.const import DOMAIN
from homeassistant import setup
from homeassistant.components.sensor import DOMAIN as SENSOR_DOMAIN
from homeassis... | 0.734501 | 0.364466 |
import warnings
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
# __all__ = ['CytOpT']
from CytOpT.descentAscent import cytoptDesasc
from CytOpT.minmaxSwapping import cytoptMinmax
from CytOpT.plots import resultPlot, BlandAltman
def stopRunning():
warnings.warn("deprecated... | CytOpT/CytOpt.py |
import warnings
import numpy as np
import pandas as pd
from sklearn.preprocessing import MinMaxScaler
# __all__ = ['CytOpT']
from CytOpT.descentAscent import cytoptDesasc
from CytOpT.minmaxSwapping import cytoptMinmax
from CytOpT.plots import resultPlot, BlandAltman
def stopRunning():
warnings.warn("deprecated... | 0.802323 | 0.685499 |
import os
#clear the console and start the programme
def clear_console():
os.system('clear')
print('< .... AoC 2019 Day2 .... >')
print()
def calc_result(num1, num2, opCode):
if opCode == 1:
result = num1 + num2
elif opCode == 2:
result = num1 * num2
else:
result = -1
... | day22019.py |
import os
#clear the console and start the programme
def clear_console():
os.system('clear')
print('< .... AoC 2019 Day2 .... >')
print()
def calc_result(num1, num2, opCode):
if opCode == 1:
result = num1 + num2
elif opCode == 2:
result = num1 * num2
else:
result = -1
... | 0.309128 | 0.614076 |
import argparse
import sys
import json
from feedgen.feed import FeedGenerator
def posts_type(raw_posts):
posts = json.loads(raw_posts)
assert isinstance(posts, list)
for post in posts:
assert isinstance(post, dict)
assert "title" in post
assert "link" in post
assert "year"... | scripts/rss.py | import argparse
import sys
import json
from feedgen.feed import FeedGenerator
def posts_type(raw_posts):
posts = json.loads(raw_posts)
assert isinstance(posts, list)
for post in posts:
assert isinstance(post, dict)
assert "title" in post
assert "link" in post
assert "year"... | 0.410756 | 0.277702 |
import json
mate_in_1 = [];
mate_in_2 = [];
mate_in_3 = [];
mate_in_4 = [];
mate_in_5 = [];
mate_in_6 = [];
mate_in_7 = [];
with open('puzzles_verified.json') as fr:
games = json.loads(fr.read())
for game in games:
if 'Mate in 1 ' in game['title']: mate_in_1.append(game)
elif 'Mate in 2 '... | puzzle_generator/sort_puzzles.py | import json
mate_in_1 = [];
mate_in_2 = [];
mate_in_3 = [];
mate_in_4 = [];
mate_in_5 = [];
mate_in_6 = [];
mate_in_7 = [];
with open('puzzles_verified.json') as fr:
games = json.loads(fr.read())
for game in games:
if 'Mate in 1 ' in game['title']: mate_in_1.append(game)
elif 'Mate in 2 '... | 0.155303 | 0.266122 |
import pygame as pg
from pygame.locals import *
from connect_4_images import * # BLIT, RECT, SCREEN
from connect_4_scene_switch import *
from _connect4_logic import *
class GAME_MODE():
def __init__(self):
self.gear_top_left = ROTATE(image.GEAR,(176,63),1.5)
self.gear_top_right = ROTATE(image.GEA... | Connect4Game-x64/connect_4_game_mode.py |
import pygame as pg
from pygame.locals import *
from connect_4_images import * # BLIT, RECT, SCREEN
from connect_4_scene_switch import *
from _connect4_logic import *
class GAME_MODE():
def __init__(self):
self.gear_top_left = ROTATE(image.GEAR,(176,63),1.5)
self.gear_top_right = ROTATE(image.GEA... | 0.156814 | 0.089058 |
from homeassistant.components.fan import SUPPORT_SET_SPEED
from homeassistant.const import (
PERCENTAGE,
TIME_MINUTES,
)
from ..const import HIMOX_H06_PURIFIER_PAYLOAD
from ..helpers import assert_device_properties_set
from ..mixins.light import BasicLightTests
from ..mixins.select import MultiSelectT... | tests/devices/test_himox_h06_purifier.py | from homeassistant.components.fan import SUPPORT_SET_SPEED
from homeassistant.const import (
PERCENTAGE,
TIME_MINUTES,
)
from ..const import HIMOX_H06_PURIFIER_PAYLOAD
from ..helpers import assert_device_properties_set
from ..mixins.light import BasicLightTests
from ..mixins.select import MultiSelectT... | 0.361165 | 0.16502 |
from enum import Enum, EnumMeta
from six import with_metaclass
class _CaseInsensitiveEnumMeta(EnumMeta):
def __getitem__(self, name):
return super().__getitem__(name.upper())
def __getattr__(cls, name):
"""Return the enum member matching `name`
We use __getattr__ instead of descriptor... | msgraph-cli-extensions/beta/bookings_beta/azext_bookings_beta/vendored_sdks/bookings/models/_bookings_enums.py |
from enum import Enum, EnumMeta
from six import with_metaclass
class _CaseInsensitiveEnumMeta(EnumMeta):
def __getitem__(self, name):
return super().__getitem__(name.upper())
def __getattr__(cls, name):
"""Return the enum member matching `name`
We use __getattr__ instead of descriptor... | 0.577853 | 0.04798 |
import logging
import unicodedata
from typing import List, Optional
from aispace.datasets.vocabulary import Vocabulary
from aispace.datasets.tokenizer.tokenizer_base import BaseTokenizer
from aispace.utils.hparams import Hparams
from aispace.utils.str_utils import truncate_seq_pair, preprocess_text
__all__ = [
"... | aispace/datasets/tokenizer/xlnet_tokenizer.py |
import logging
import unicodedata
from typing import List, Optional
from aispace.datasets.vocabulary import Vocabulary
from aispace.datasets.tokenizer.tokenizer_base import BaseTokenizer
from aispace.utils.hparams import Hparams
from aispace.utils.str_utils import truncate_seq_pair, preprocess_text
__all__ = [
"... | 0.827515 | 0.306877 |
import numpy as np
from utils import (DEBUG, random_row, NORTH, EAST, SOUTH, WEST)
from numpy.random import RandomState
import sys
def exceptions_magic(self, car):
"""Handles special cases for turning cars.
Arguments:
car {Car} -- The car that should drive.
Returns:
int -- The state of ... | magic.py |
import numpy as np
from utils import (DEBUG, random_row, NORTH, EAST, SOUTH, WEST)
from numpy.random import RandomState
import sys
def exceptions_magic(self, car):
"""Handles special cases for turning cars.
Arguments:
car {Car} -- The car that should drive.
Returns:
int -- The state of ... | 0.498535 | 0.421254 |
from typing import List
from unittest import TestCase
from oci.core import ComputeClient, ComputeClientCompositeOperations
from oci.core.models.instance import Instance
from oci.response import Response
from oci.exceptions import ServiceError
from oci_emulator import app
from app.enums.compute.instance_action import ... | tests/compute/test_perform_action.py | from typing import List
from unittest import TestCase
from oci.core import ComputeClient, ComputeClientCompositeOperations
from oci.core.models.instance import Instance
from oci.response import Response
from oci.exceptions import ServiceError
from oci_emulator import app
from app.enums.compute.instance_action import ... | 0.653127 | 0.326486 |
from kmip.core.enums import CredentialType
from kmip.core.objects import Credential
class CredentialFactory(object):
def __init__(self):
pass
def _create_credential(self, credential_type, credential_value):
credential_type = Credential.CredentialType(credential_type)
return Credenti... | kmip/core/factories/credentials.py |
from kmip.core.enums import CredentialType
from kmip.core.objects import Credential
class CredentialFactory(object):
def __init__(self):
pass
def _create_credential(self, credential_type, credential_value):
credential_type = Credential.CredentialType(credential_type)
return Credenti... | 0.649467 | 0.099689 |
# REST basics
# ========================================
# Stateless. Roulette. Base class definitions.
from typing import Dict, Tuple, Optional, List, Iterable, Any, TYPE_CHECKING, cast
if TYPE_CHECKING:
from wsgiref.types import WSGIApplication, WSGIEnvironment, StartResponse
import random
from Chapter_13.ch... | Chapter_13/ch13_e1_ex4.py | # REST basics
# ========================================
# Stateless. Roulette. Base class definitions.
from typing import Dict, Tuple, Optional, List, Iterable, Any, TYPE_CHECKING, cast
if TYPE_CHECKING:
from wsgiref.types import WSGIApplication, WSGIEnvironment, StartResponse
import random
from Chapter_13.ch... | 0.348756 | 0.211478 |
""""""
from pysec.core import is_int, is_str, is_dict
SPECIAL_CHARS = '\\', '*', '?', '!', '[', ']', '{', '}', '-', ',', '#', '@'
ALPHA = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
DIGITS = '0123456789'
LOWER = 'abcdefghijklmnopqrstuvwxyz'
UPPER = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
ALPHANUMERIC = DIGITS + ALPH... | pysec/binary.py | """"""
from pysec.core import is_int, is_str, is_dict
SPECIAL_CHARS = '\\', '*', '?', '!', '[', ']', '{', '}', '-', ',', '#', '@'
ALPHA = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
DIGITS = '0123456789'
LOWER = 'abcdefghijklmnopqrstuvwxyz'
UPPER = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
ALPHANUMERIC = DIGITS + ALPH... | 0.308607 | 0.352007 |
from __future__ import annotations
import json
import random
import time
from typing import Any, Dict, List, Optional, Type, TypeVar, Union
import flask
from trickster import TricksterException
class RouteConfigurationError(TricksterException, ValueError):
"""Raised when route could not be configured because ... | trickster/routing/__init__.py |
from __future__ import annotations
import json
import random
import time
from typing import Any, Dict, List, Optional, Type, TypeVar, Union
import flask
from trickster import TricksterException
class RouteConfigurationError(TricksterException, ValueError):
"""Raised when route could not be configured because ... | 0.919412 | 0.209146 |
import os
import sys
sys.path.append('../common')
import TCWordSeg
OUT_WORD = TCWordSeg.OUT_WORD
OUT_PHRASE = TCWordSeg.OUT_PHRASE
OUT_SUBPHRASE = TCWordSeg.OUT_SUBPHRASE
TC_ENGU = TCWordSeg.TC_ENGU
TC_GU = TCWordSeg.TC_GU
TC_POS = TCWordSeg.TC_POS
TC_USR = TCWordSeg.TC_USR
TC_S2D = TCWordSeg.TC_S2D
TC_U2L = TCWordSe... | common/tcseg.py |
import os
import sys
sys.path.append('../common')
import TCWordSeg
OUT_WORD = TCWordSeg.OUT_WORD
OUT_PHRASE = TCWordSeg.OUT_PHRASE
OUT_SUBPHRASE = TCWordSeg.OUT_SUBPHRASE
TC_ENGU = TCWordSeg.TC_ENGU
TC_GU = TCWordSeg.TC_GU
TC_POS = TCWordSeg.TC_POS
TC_USR = TCWordSeg.TC_USR
TC_S2D = TCWordSeg.TC_S2D
TC_U2L = TCWordSe... | 0.145905 | 0.044806 |
import time
print("Setting up")
start = time.time()
import os
import RPi.GPIO as GPIO
import pygame
import pygame.camera
from pygame.locals import *
from time import sleep
from fastai.vision import *
from fastai.metrics import error_rate
from pathlib import Path
from glob2 import glob
from sklearn.metrics import conf... | fastai/test2.py | import time
print("Setting up")
start = time.time()
import os
import RPi.GPIO as GPIO
import pygame
import pygame.camera
from pygame.locals import *
from time import sleep
from fastai.vision import *
from fastai.metrics import error_rate
from pathlib import Path
from glob2 import glob
from sklearn.metrics import conf... | 0.257672 | 0.145813 |
import os
import sys
import cv2
import numpy as np
'''
Display result
Left = Original Image
Right = Reconstructed Face
'''
def displayResult(left, right) :
output = np.hstack((left,right))
output = cv2.resize(output, (0,0), fx=4, fy=4)
cv2.imshow("Result", output)
# Recontruct face using mean face and EigenFac... | ITEM 20-29/ITEM22 reconstructFace/reconstructFace.py | import os
import sys
import cv2
import numpy as np
'''
Display result
Left = Original Image
Right = Reconstructed Face
'''
def displayResult(left, right) :
output = np.hstack((left,right))
output = cv2.resize(output, (0,0), fx=4, fy=4)
cv2.imshow("Result", output)
# Recontruct face using mean face and EigenFac... | 0.377541 | 0.51623 |
from os import truncate
import sys
import random
from typing import Dict
def custom_hash(key:str) -> int:
"""
Hashes the key in a consistent manner, since python changes the seeding
between sessions for ''''''security reasons''''''
"""
h = ""
for character in key:
h += str(ord(characte... | Cryptography/substitution.py | from os import truncate
import sys
import random
from typing import Dict
def custom_hash(key:str) -> int:
"""
Hashes the key in a consistent manner, since python changes the seeding
between sessions for ''''''security reasons''''''
"""
h = ""
for character in key:
h += str(ord(characte... | 0.496582 | 0.265714 |
import torch
import torch.nn as nn
from tree_to_sequence.tree_to_sequence import TreeToSequence
class TreeToSequenceAttention(TreeToSequence):
def __init__(self, encoder, decoder, hidden_size, nclass, embedding_size,
alignment_size=50, align_type=1):
super(TreeToSequenceAttention, self).... | tree_to_sequence/tree_to_sequence_attention.py | import torch
import torch.nn as nn
from tree_to_sequence.tree_to_sequence import TreeToSequence
class TreeToSequenceAttention(TreeToSequence):
def __init__(self, encoder, decoder, hidden_size, nclass, embedding_size,
alignment_size=50, align_type=1):
super(TreeToSequenceAttention, self).... | 0.904636 | 0.696281 |
import pycuda.autoinit
import pycuda.driver as drv
import pycuda.gpuarray as gpuarray
import numpy as np
import matplotlib.pyplot as plt
import time
import scipy.io as sio
import pkg_resources
import sys
from Alignment.Alignments import *
from Alignment.AlignmentTools import *
from Alignment.DTWGPU import *
import Alig... | GPUExamples.py | import pycuda.autoinit
import pycuda.driver as drv
import pycuda.gpuarray as gpuarray
import numpy as np
import matplotlib.pyplot as plt
import time
import scipy.io as sio
import pkg_resources
import sys
from Alignment.Alignments import *
from Alignment.AlignmentTools import *
from Alignment.DTWGPU import *
import Alig... | 0.188473 | 0.55935 |
import urllib.request as urlreq
import json
import shutil
from datetime import datetime
import textwrap
import sys
# Description size must be dynamic because of different dishes, but other columns are stable
def drawAsciiTable(entries, descriptionSize, sdate=''):
tableWidth = 21 + 2 + descriptionSize
windowSiz... | sict2.py | import urllib.request as urlreq
import json
import shutil
from datetime import datetime
import textwrap
import sys
# Description size must be dynamic because of different dishes, but other columns are stable
def drawAsciiTable(entries, descriptionSize, sdate=''):
tableWidth = 21 + 2 + descriptionSize
windowSiz... | 0.141341 | 0.142978 |
import re
import json
import urllib
from lib import helpers
from urlresolver9 import common
from urlresolver9.resolver import UrlResolver, ResolverError
class MailRuResolver(UrlResolver):
name = "mail.ru"
domains = ['mail.ru', 'my.mail.ru', 'videoapi.my.mail.ru', 'api.video.mail.ru']
pattern = '(?://|\.)(m... | script.mrknow.urlresolver/lib/urlresolver9/plugins/mailru.py | import re
import json
import urllib
from lib import helpers
from urlresolver9 import common
from urlresolver9.resolver import UrlResolver, ResolverError
class MailRuResolver(UrlResolver):
name = "mail.ru"
domains = ['mail.ru', 'my.mail.ru', 'videoapi.my.mail.ru', 'api.video.mail.ru']
pattern = '(?://|\.)(m... | 0.146392 | 0.066418 |