code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from .api import api
from .exceptions import mySword
from .session import session as ses
from requests import post
class upload(object):
def __init__(self, session):
if not isinstance(session, ses):
raise mySword("invalid session")
self.vk = api(session).call
def messageDocument(s... | pyVkBotApiV2/upload.py | from .api import api
from .exceptions import mySword
from .session import session as ses
from requests import post
class upload(object):
def __init__(self, session):
if not isinstance(session, ses):
raise mySword("invalid session")
self.vk = api(session).call
def messageDocument(s... | 0.416559 | 0.071235 |
__author__ = "<NAME>"
__date__ = "17 Aug 2017"
import tempfile
import unittest
from simbad.parsers import anode_parser
class Test(unittest.TestCase):
def test_anode_parser(self):
content = """ANODE - ANOmalous DEnsity analysis - version 2013/1
===================================================
Comm... | simbad/parsers/tests/test_anode_parser.py |
__author__ = "<NAME>"
__date__ = "17 Aug 2017"
import tempfile
import unittest
from simbad.parsers import anode_parser
class Test(unittest.TestCase):
def test_anode_parser(self):
content = """ANODE - ANOmalous DEnsity analysis - version 2013/1
===================================================
Comm... | 0.421076 | 0.229913 |
import logging
from collections import defaultdict
from typing import Dict, List, Optional
import numpy as np
from ..utils.colmap import read_model
from ..utils.quaternions import weighted_pose
logger = logging.getLogger(__name__)
class Model3D:
def __init__(self, path):
logger.info('Reading COLMAP mode... | pixloc/localization/model3d.py | import logging
from collections import defaultdict
from typing import Dict, List, Optional
import numpy as np
from ..utils.colmap import read_model
from ..utils.quaternions import weighted_pose
logger = logging.getLogger(__name__)
class Model3D:
def __init__(self, path):
logger.info('Reading COLMAP mode... | 0.904719 | 0.270806 |
import time
import json
import pytest
from suricate.configuration import config
def test_publish_to_default_channel(component, scheduler, pubsub):
"""Publishing to the default channel `namespace/component/attribute"""
job = scheduler.add_attribute_job(component, 'position', timer=0.01)
scheduler.wait_unt... | tests/monitor/test_attribute.py | import time
import json
import pytest
from suricate.configuration import config
def test_publish_to_default_channel(component, scheduler, pubsub):
"""Publishing to the default channel `namespace/component/attribute"""
job = scheduler.add_attribute_job(component, 'position', timer=0.01)
scheduler.wait_unt... | 0.631026 | 0.374791 |
import copy
from collections import OrderedDict
import pandas as pd
import numpy as np
__all__ = (
"DataMapper",
"from_boolean_to_integers_map",
"from_explanatory_to_integers",
"from_integers_to_boolean_map",
)
def from_explanatory_to_integers(series):
return {v: i for i, v in enumerate(set(se... | dsmlt/preprocessing/data.py | import copy
from collections import OrderedDict
import pandas as pd
import numpy as np
__all__ = (
"DataMapper",
"from_boolean_to_integers_map",
"from_explanatory_to_integers",
"from_integers_to_boolean_map",
)
def from_explanatory_to_integers(series):
return {v: i for i, v in enumerate(set(se... | 0.713332 | 0.631197 |
from PyQt5.Qt import QStandardItemModel
from PyQt5.Qt import Qt
from PyQt5.Qt import QPixmap
from PyQt5.Qt import QImage
from PyQt5.Qt import QIcon
from mc.tools.IconProvider import IconProvider
from mc.common.models import HistoryDbModel
from mc.common.globalvars import gVar
class LocationCompleterModel(QStandardItem... | mc/navigation/completer/LocationCompleterModel.py | from PyQt5.Qt import QStandardItemModel
from PyQt5.Qt import Qt
from PyQt5.Qt import QPixmap
from PyQt5.Qt import QImage
from PyQt5.Qt import QIcon
from mc.tools.IconProvider import IconProvider
from mc.common.models import HistoryDbModel
from mc.common.globalvars import gVar
class LocationCompleterModel(QStandardItem... | 0.535098 | 0.103522 |
def solveSimonSays(flashSequence, # List of strings: colors flashed
numStrikes,
bombSpecs): # Dictionary of bomb specs such as serial number last digit, parallel port, battery count, etc
if bombSpecs['serialNumberVowel'] is True:
if numStrikes == 0:
f... | ModuleSolvers/SimonSays.py |
def solveSimonSays(flashSequence, # List of strings: colors flashed
numStrikes,
bombSpecs): # Dictionary of bomb specs such as serial number last digit, parallel port, battery count, etc
if bombSpecs['serialNumberVowel'] is True:
if numStrikes == 0:
f... | 0.233619 | 0.411288 |
import numpy as np
# Constants for the curation dict of presets
MULTICELL_PRESET = '3MemSym' # ferro
N_FERRO = 9
REFINE_W = True
DIAG_W = True
RANDOM_W = False # TODO care how this interacts with random W in singlecell_simsetup
curated = {
'mutual_inhibition':
{'XI': np.array([
[1, -1], # ... | singlecell/singlecell_simsetup_curated.py | import numpy as np
# Constants for the curation dict of presets
MULTICELL_PRESET = '3MemSym' # ferro
N_FERRO = 9
REFINE_W = True
DIAG_W = True
RANDOM_W = False # TODO care how this interacts with random W in singlecell_simsetup
curated = {
'mutual_inhibition':
{'XI': np.array([
[1, -1], # ... | 0.156781 | 0.685423 |
import requests
import boto
from cloudcarver.errors import HandlerError, AWSError
from cloudcarver.message import ResponseMessage, RequestMessage
import time
import logging
__author__ = 'jdenning'
log = logging.getLogger("cloudcarver")
def get_message_from_sqs(sqs_queue):
"""
Get message from sqs_queue, ... | cloudcarver/controller.py | import requests
import boto
from cloudcarver.errors import HandlerError, AWSError
from cloudcarver.message import ResponseMessage, RequestMessage
import time
import logging
__author__ = 'jdenning'
log = logging.getLogger("cloudcarver")
def get_message_from_sqs(sqs_queue):
"""
Get message from sqs_queue, ... | 0.447219 | 0.082586 |
import requests
import random
import json
from .Models.urlModel import (
SSO_URL, TEST_PASSWORD_URL, SERVICE_URL)
from .Models.exceptionsModel import (
LoginError, UserDefunctError, UserNotFound, UserOrPassError, ArgError)
from .Cores.student import Student
def login_id(user_id: str, password: str) -> request... | zhixuewang/Zhixuewang.py | import requests
import random
import json
from .Models.urlModel import (
SSO_URL, TEST_PASSWORD_URL, SERVICE_URL)
from .Models.exceptionsModel import (
LoginError, UserDefunctError, UserNotFound, UserOrPassError, ArgError)
from .Cores.student import Student
def login_id(user_id: str, password: str) -> request... | 0.241489 | 0.068569 |
import urllib
import json
import sqlite3
conn = sqlite3.connect('worldcat.sqlite')
cur = conn.cursor()
liblist = list()
libraries = open('top5libraries.txt')
for library in libraries:
liblist.append(library)
lib1 = liblist[0].strip()
lib2 = liblist[1].strip()
lib3 = liblist[2].strip()
lib4 = libli... | worldcat2.py | import urllib
import json
import sqlite3
conn = sqlite3.connect('worldcat.sqlite')
cur = conn.cursor()
liblist = list()
libraries = open('top5libraries.txt')
for library in libraries:
liblist.append(library)
lib1 = liblist[0].strip()
lib2 = liblist[1].strip()
lib3 = liblist[2].strip()
lib4 = libli... | 0.189821 | 0.041037 |
from http.client import HTTPSConnection as httpc
from xml.etree.ElementTree import tostring
from xml.dom import minidom
from pyquery import PyQuery as pq
import html2text
import re
import bz2
import time
conn = {}
h = html2text.HTML2Text()
h.ignore_links = True
h.ignore_images = True
h.ignore_emphasis = True
h.body_w... | uol_redacoes_xml/crawler/commons.py | from http.client import HTTPSConnection as httpc
from xml.etree.ElementTree import tostring
from xml.dom import minidom
from pyquery import PyQuery as pq
import html2text
import re
import bz2
import time
conn = {}
h = html2text.HTML2Text()
h.ignore_links = True
h.ignore_images = True
h.ignore_emphasis = True
h.body_w... | 0.243463 | 0.083479 |
import sys
from sys import argv
"""Assigning the possible connectives to variables which can be
further used to implement each module"""
IFF = "iff"
IMPLIES = "implies"
AND = "and"
OR = "or"
NOT = "not"
def is_positive_symbol(s):
""" Function to find if s is a positive symbol by checking if its not a ... | CNF Converter/CNFConverter.py | import sys
from sys import argv
"""Assigning the possible connectives to variables which can be
further used to implement each module"""
IFF = "iff"
IMPLIES = "implies"
AND = "and"
OR = "or"
NOT = "not"
def is_positive_symbol(s):
""" Function to find if s is a positive symbol by checking if its not a ... | 0.181698 | 0.390825 |
from typing import Tuple
import torch
import pytorch_lightning as pl
class UserEncoder(torch.nn.Module):
def __init__(self,
num_users: int,
user_embedding_dim: int,
num_ages: int,
user_age_embedding_dim: int,
num_genders: int,
... | src/model.py | from typing import Tuple
import torch
import pytorch_lightning as pl
class UserEncoder(torch.nn.Module):
def __init__(self,
num_users: int,
user_embedding_dim: int,
num_ages: int,
user_age_embedding_dim: int,
num_genders: int,
... | 0.961543 | 0.542015 |
import logging
import threading
from datetime import datetime
from typing import Any, List, Optional
from rx.disposable import Disposable
from rx.core import typing
from rx.concurrency import ScheduledItem
from rx.internal.exceptions import DisposedException
from rx.internal.priorityqueue import PriorityQueue
from .s... | rx/concurrency/eventloopscheduler.py | import logging
import threading
from datetime import datetime
from typing import Any, List, Optional
from rx.disposable import Disposable
from rx.core import typing
from rx.concurrency import ScheduledItem
from rx.internal.exceptions import DisposedException
from rx.internal.priorityqueue import PriorityQueue
from .s... | 0.831793 | 0.152158 |
from poseidon.infrastructure.road_network_revised import RoadNetwork
from poseidon.infrastructure.bernoulli import BernoulliRoadDamageModel
from poseidon.disasters.earthquakes import GaussianEarthquake
from poseidon.disasters.hurricanes import LinearHurricane
from poseidon.metrics.graph_metrics import is_node_connected... | webapp/poseidon/orchestrators/single_disaster_road_risk_orchestrator.py | from poseidon.infrastructure.road_network_revised import RoadNetwork
from poseidon.infrastructure.bernoulli import BernoulliRoadDamageModel
from poseidon.disasters.earthquakes import GaussianEarthquake
from poseidon.disasters.hurricanes import LinearHurricane
from poseidon.metrics.graph_metrics import is_node_connected... | 0.634204 | 0.347205 |
import sys
import os
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.animation as animation
import math
import numpy as np
from numpy.random import *
from scipy.interpolate import interp1d
# サンプリング周期[s]
DT = 0.01
class Visualize:
def __init__(self):
self.r = 0.2
... | scripts/robot_steering_sim.py | import sys
import os
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.animation as animation
import math
import numpy as np
from numpy.random import *
from scipy.interpolate import interp1d
# サンプリング周期[s]
DT = 0.01
class Visualize:
def __init__(self):
self.r = 0.2
... | 0.364325 | 0.407392 |
import os
from Toolbox.ColorTools import *
import re
from requests import *
import sys
def g_tk(p_skey):
h = 5381
for c in p_skey:
h += (h << 5) + ord(c)
return h & 0x7fffffff
def SendMsg(uin, skey, p_skey, msg):
qq = re.findall(r'o0*(\S+)', uin)[0]
with open('HackQzone.txt', 'r') as fp:... | Sniffer v3.0/Plugin/QzoneCookie.py | import os
from Toolbox.ColorTools import *
import re
from requests import *
import sys
def g_tk(p_skey):
h = 5381
for c in p_skey:
h += (h << 5) + ord(c)
return h & 0x7fffffff
def SendMsg(uin, skey, p_skey, msg):
qq = re.findall(r'o0*(\S+)', uin)[0]
with open('HackQzone.txt', 'r') as fp:... | 0.125668 | 0.103703 |
from django.db import models
from django.contrib.auth.models import User, AbstractBaseUser, PermissionsMixin, BaseUserManager
from django.utils.http import urlquote
from django.utils.text import slugify
import datetime
import pytz
# Create your models here.
class AuthorManager(BaseUserManager):
def _create_us... | core/models.py | from django.db import models
from django.contrib.auth.models import User, AbstractBaseUser, PermissionsMixin, BaseUserManager
from django.utils.http import urlquote
from django.utils.text import slugify
import datetime
import pytz
# Create your models here.
class AuthorManager(BaseUserManager):
def _create_us... | 0.533397 | 0.124027 |
import re
from typing import Any
from .ctx import Context
class ValidatorMetaclass(type):
def __new__(cls, name, bases, classdict):
error_code_map = {}
error_messages = {}
message_values = {}
for base in reversed(bases):
try:
error_code_map.update(bas... | dirty_validators/basic.py | import re
from typing import Any
from .ctx import Context
class ValidatorMetaclass(type):
def __new__(cls, name, bases, classdict):
error_code_map = {}
error_messages = {}
message_values = {}
for base in reversed(bases):
try:
error_code_map.update(bas... | 0.740174 | 0.2389 |
# pylint: skip-file
from mock import patch
from copy import deepcopy
from cdk_constructs.adf_codepipeline import Action
from aws_cdk import ( aws_codepipeline )
from adf_codepipeline_test_constants import BASE_MAP_PARAMS
@patch('cdk_constructs.adf_codepipeline._codepipeline.CfnPipeline.ActionDeclarationProperty')
@... | src/lambda_codebase/initial_commit/bootstrap_repository/adf-build/shared/cdk/cdk_constructs/tests/test_adf_codepipeline_output_artifacts.py |
# pylint: skip-file
from mock import patch
from copy import deepcopy
from cdk_constructs.adf_codepipeline import Action
from aws_cdk import ( aws_codepipeline )
from adf_codepipeline_test_constants import BASE_MAP_PARAMS
@patch('cdk_constructs.adf_codepipeline._codepipeline.CfnPipeline.ActionDeclarationProperty')
@... | 0.677367 | 0.153962 |
import logging
import broadway_api.daos as daos
from broadway_api.models.grading_job import GradingJobType
from broadway_api.utils.run import continue_grading_run, fail_grading_run
logger = logging.getLogger("job-callbacks")
def job_update_callback(settings, grading_job_id, grading_run_id):
job_dao = daos.Gradi... | broadway_api/callbacks/job.py | import logging
import broadway_api.daos as daos
from broadway_api.models.grading_job import GradingJobType
from broadway_api.utils.run import continue_grading_run, fail_grading_run
logger = logging.getLogger("job-callbacks")
def job_update_callback(settings, grading_job_id, grading_run_id):
job_dao = daos.Gradi... | 0.348202 | 0.076511 |
import json
# SBaaS
from .stage02_isotopomer_fittedFluxSplits_query import stage02_isotopomer_fittedFluxSplits_query
from SBaaS_base.sbaas_template_io import sbaas_template_io
# Resources
from io_utilities.base_importData import base_importData
from io_utilities.base_exportData import base_exportData
class stage02_iso... | SBaaS_MFA/stage02_isotopomer_fittedFluxSplits_io.py | import json
# SBaaS
from .stage02_isotopomer_fittedFluxSplits_query import stage02_isotopomer_fittedFluxSplits_query
from SBaaS_base.sbaas_template_io import sbaas_template_io
# Resources
from io_utilities.base_importData import base_importData
from io_utilities.base_exportData import base_exportData
class stage02_iso... | 0.378 | 0.359673 |
import os
import pygame
import unicodedata
from pygame.locals import *
pygame.init()
FRAME_SIZE = (750, 560)
FRAME_PADDING = (10, 10)
mainFrame = pygame.display.set_mode(FRAME_SIZE)
pygame.display.set_caption('Play Fair Cipher')
SQUARE_SIZE = 100
SQUARE_MARGIN = 10
SQUARE_FONT = pygame.font.Font(None, 65)
TEXT_FONT... | src/chiffreDePlayFair.py | import os
import pygame
import unicodedata
from pygame.locals import *
pygame.init()
FRAME_SIZE = (750, 560)
FRAME_PADDING = (10, 10)
mainFrame = pygame.display.set_mode(FRAME_SIZE)
pygame.display.set_caption('Play Fair Cipher')
SQUARE_SIZE = 100
SQUARE_MARGIN = 10
SQUARE_FONT = pygame.font.Font(None, 65)
TEXT_FONT... | 0.174797 | 0.355411 |
import os
import stat
import subprocess
def access_demo():
"""
检验权限模式
os.F_OK: 作为access()的mode参数，测试path是否存在。
os.R_OK: 包含在access()的mode参数中 ， 测试path是否可读。
os.W_OK 包含在access()的mode参数中 ， 测试path是否可写。
os.X_OK 包含在access()的mode参数中 ，测试path是否可执行
https://www.cnblogs.com/yuanqiangfei/p/8109991.html
... | language/python/modules/os/os_module.py | import os
import stat
import subprocess
def access_demo():
"""
检验权限模式
os.F_OK: 作为access()的mode参数，测试path是否存在。
os.R_OK: 包含在access()的mode参数中 ， 测试path是否可读。
os.W_OK 包含在access()的mode参数中 ， 测试path是否可写。
os.X_OK 包含在access()的mode参数中 ，测试path是否可执行
https://www.cnblogs.com/yuanqiangfei/p/8109991.html
... | 0.142411 | 0.161386 |
import numpy as np
import sys
import django
import scipy.sparse
from sklearn.ensemble import RandomForestRegressor
from sklearn.svm import SVR
from sklearn.linear_model import LinearRegression, Ridge, LogisticRegression, RidgeClassifier
from scipy.spatial.distance import cosine
from sklearn.metrics.pairwise import cosi... | recommender.py | import numpy as np
import sys
import django
import scipy.sparse
from sklearn.ensemble import RandomForestRegressor
from sklearn.svm import SVR
from sklearn.linear_model import LinearRegression, Ridge, LogisticRegression, RidgeClassifier
from scipy.spatial.distance import cosine
from sklearn.metrics.pairwise import cosi... | 0.563858 | 0.232136 |
from typing import List, Optional
import torch
import torch.nn as nn
from torch import Tensor
class NeRF(nn.Module):
def __init__(self,
D: int=8, W: int=256,
in_ch_pts: int=63, in_ch_dir: int=27,
skips: List[int]=[4]
) -> None:
"""
NeRF's core MLP model, just the de... | accelRF/models/nerf.py | from typing import List, Optional
import torch
import torch.nn as nn
from torch import Tensor
class NeRF(nn.Module):
def __init__(self,
D: int=8, W: int=256,
in_ch_pts: int=63, in_ch_dir: int=27,
skips: List[int]=[4]
) -> None:
"""
NeRF's core MLP model, just the de... | 0.951063 | 0.522933 |
import cards
import time
class Player:
def __init__(self):
self.hand = []
self.handVal = 0
def draw(self, deck, num = 1):
pCards = deck.draw(num)
for i in pCards:
self.hand.append(i)
self.handVal = self._calcHandValue()
def _calcHandValue(self... | v0 2.5/blackjack.py | import cards
import time
class Player:
def __init__(self):
self.hand = []
self.handVal = 0
def draw(self, deck, num = 1):
pCards = deck.draw(num)
for i in pCards:
self.hand.append(i)
self.handVal = self._calcHandValue()
def _calcHandValue(self... | 0.055113 | 0.14259 |
from common import *
from trezor.crypto import hashlib
from trezor.messages.NEMAggregateModification import NEMAggregateModification
from trezor.messages.NEMCosignatoryModification import NEMCosignatoryModification
from trezor.messages.NEMSignTx import NEMSignTx
from trezor.messages.NEMTransactionCommon import NEMTrans... | core/tests/test_apps.nem.multisig.aggregate_modification.py | from common import *
from trezor.crypto import hashlib
from trezor.messages.NEMAggregateModification import NEMAggregateModification
from trezor.messages.NEMCosignatoryModification import NEMCosignatoryModification
from trezor.messages.NEMSignTx import NEMSignTx
from trezor.messages.NEMTransactionCommon import NEMTrans... | 0.57069 | 0.230302 |
import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
from matplotlib.gridspec import GridSpec
from matplotlib.ticker import FixedLocator
import numpy as np
from os import listdir
from os.path import join
from lvxml2dict import Cluster
from namegleaner import NameGleaner
from transformer import Transf... | scmoplot/main.py | import matplotlib.pyplot as plt
from matplotlib.colors import Normalize
from matplotlib.gridspec import GridSpec
from matplotlib.ticker import FixedLocator
import numpy as np
from os import listdir
from os.path import join
from lvxml2dict import Cluster
from namegleaner import NameGleaner
from transformer import Transf... | 0.431824 | 0.397938 |
from netCDF4 import *
import pyproj
import ogr, osr
import numpy as np
import time
import datetime as dtm
def time_block_report(message,told):
""" This routine is for reporting incremental timing of parts of the script"""
tnew=time.time()
diff = tnew - told
print("%s : %s" % (message,diff))
retur... | schimpy/cencoos_download.py | from netCDF4 import *
import pyproj
import ogr, osr
import numpy as np
import time
import datetime as dtm
def time_block_report(message,told):
""" This routine is for reporting incremental timing of parts of the script"""
tnew=time.time()
diff = tnew - told
print("%s : %s" % (message,diff))
retur... | 0.479747 | 0.256596 |
import numpy as np
from matplotlib import pyplot
'''
@author: <NAME>
'''
i = 1
N = 20
domainMin = 0
domainMax = N
domainSize = 600
def roots() :
'''
@return a list of roots for the Wilkinson's polynomial described by i and N.
'''
return range(i, N + 1)
def domain() :
'''
@return a list con... | Wilkinsons.py | import numpy as np
from matplotlib import pyplot
'''
@author: <NAME>
'''
i = 1
N = 20
domainMin = 0
domainMax = N
domainSize = 600
def roots() :
'''
@return a list of roots for the Wilkinson's polynomial described by i and N.
'''
return range(i, N + 1)
def domain() :
'''
@return a list con... | 0.662578 | 0.605799 |
import lemoncheesecake.api as lcc
from lemoncheesecake.matching import check_that, is_false, is_true, require_that, not_equal_to, equal_to
from common.base_test import BaseTest
from project import ROPSTEN
SUITE = {
"description": "Check for updating the list of active committee members"
}
# todo: test fails at ... | suites/Scenarios/ChangeActiveCommitteeMember.py | import lemoncheesecake.api as lcc
from lemoncheesecake.matching import check_that, is_false, is_true, require_that, not_equal_to, equal_to
from common.base_test import BaseTest
from project import ROPSTEN
SUITE = {
"description": "Check for updating the list of active committee members"
}
# todo: test fails at ... | 0.205137 | 0.079854 |
from dsmtoolkit.load_models import load_model
from dsmtoolkit.load_models import represent
from dsmtoolkit.load_models import get_nearest_neighbors
import sys
import os
import glob
def nn_ranks_to_file(model_paths, year_model, target_word, n):
results_dir = f'results/{year_model}_ranks'
if not os.path.isdi... | projects/neighbor_stability/nearest_neighbors_ranks.py | from dsmtoolkit.load_models import load_model
from dsmtoolkit.load_models import represent
from dsmtoolkit.load_models import get_nearest_neighbors
import sys
import os
import glob
def nn_ranks_to_file(model_paths, year_model, target_word, n):
results_dir = f'results/{year_model}_ranks'
if not os.path.isdi... | 0.241132 | 0.141104 |
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_ScreenLogin(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.resize(340, 283)
self.setStyleSheet("QLabel{color:white;}QRadioButton{color:White;}QPushButton{border:1px solid;border-color:White;color:White;} QPushButton:hover... | Design/login.py | from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_ScreenLogin(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.resize(340, 283)
self.setStyleSheet("QLabel{color:white;}QRadioButton{color:White;}QPushButton{border:1px solid;border-color:White;color:White;} QPushButton:hover... | 0.293607 | 0.071267 |
import logging
import os
import hashlib
from functools import wraps
from taskflow import engines
import sys
sys.path.append('../recovery')
from base import AnsibleTask, ShellTask, LinearFlowCreator, UnorderedFlowCreator
sys.path.append("../db")
from db_Dao import DRGlanceDao, DRNovaDao
def task_list(fn):
@wraps(... | drcontroller/test/recovery_rollback.py | import logging
import os
import hashlib
from functools import wraps
from taskflow import engines
import sys
sys.path.append('../recovery')
from base import AnsibleTask, ShellTask, LinearFlowCreator, UnorderedFlowCreator
sys.path.append("../db")
from db_Dao import DRGlanceDao, DRNovaDao
def task_list(fn):
@wraps(... | 0.292797 | 0.081374 |
# This file contains basic tests for synther library
import pytest
def test_c_api_buffer_not_found():
import synther
synther.set_log_level(synther.LogLvl.VERBOSE)
with pytest.raises(Exception, match="Buffer"):
synther.get_buffer_bytes(500)
with pytest.raises(Exception, match="Buffer"):
synther.pro... | tests/synther_test.py |
# This file contains basic tests for synther library
import pytest
def test_c_api_buffer_not_found():
import synther
synther.set_log_level(synther.LogLvl.VERBOSE)
with pytest.raises(Exception, match="Buffer"):
synther.get_buffer_bytes(500)
with pytest.raises(Exception, match="Buffer"):
synther.pro... | 0.469763 | 0.366165 |
import torch.nn as nn
import torch
import numpy as np
from time import time
from ..utils import *
class Griffin_Lim(nn.Module):
"""
Converting Magnitude spectrograms back to waveforms based on the "fast Griffin-Lim"[1].
This Griffin Lim is a direct clone from librosa.griffinlim.
[1] <NAME>., <NAME>.,... | Installation/nnAudio/features/griffin_lim.py | import torch.nn as nn
import torch
import numpy as np
from time import time
from ..utils import *
class Griffin_Lim(nn.Module):
"""
Converting Magnitude spectrograms back to waveforms based on the "fast Griffin-Lim"[1].
This Griffin Lim is a direct clone from librosa.griffinlim.
[1] <NAME>., <NAME>.,... | 0.949619 | 0.598518 |
from collections import defaultdict, deque, Counter
from itertools import count
from pprint import pprint
from day import Day, util
import numpy as np
OCCUPIED = '#'
EMPTY = 'L'
FLOOR = '.'
class Day11Part2(Day):
day = 11
part = 2
OFFSETS = (
(0, -1), (0, 1), # left/right
(-1, 0), (1, ... | days/day11_part2.py | from collections import defaultdict, deque, Counter
from itertools import count
from pprint import pprint
from day import Day, util
import numpy as np
OCCUPIED = '#'
EMPTY = 'L'
FLOOR = '.'
class Day11Part2(Day):
day = 11
part = 2
OFFSETS = (
(0, -1), (0, 1), # left/right
(-1, 0), (1, ... | 0.434221 | 0.145692 |
import numpy as np
class Splitter:
"""
Train test split Class.
"""
def __init__(self):
"""
Constructor for Splitter Class.
"""
self.x = None
self.y = None
def fit(self, x: np.ndarray, y: np.ndarray):
"""
Fits the data to the Splitter object... | src/neural_network/preprocessing/Splitter.py | import numpy as np
class Splitter:
"""
Train test split Class.
"""
def __init__(self):
"""
Constructor for Splitter Class.
"""
self.x = None
self.y = None
def fit(self, x: np.ndarray, y: np.ndarray):
"""
Fits the data to the Splitter object... | 0.905063 | 0.84137 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Coupon',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize... | inventory_manager/api/migrations/0001_initial.py |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Coupon',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize... | 0.581303 | 0.173218 |
from django.db import models
from django.utils import timezone
from .person import Person
from django.utils.translation import gettext_lazy as _
class Order(models.Model):
NEW = 'NEW'
PENDING = 'PENDING'
APPROVED = 'APPROVED'
STATE_CHOICES = (
(NEW, 'new'),
(PENDING, 'pending'),
... | order/models/order.py | from django.db import models
from django.utils import timezone
from .person import Person
from django.utils.translation import gettext_lazy as _
class Order(models.Model):
NEW = 'NEW'
PENDING = 'PENDING'
APPROVED = 'APPROVED'
STATE_CHOICES = (
(NEW, 'new'),
(PENDING, 'pending'),
... | 0.379838 | 0.090695 |
import logging
import os
from aiohttp.client_exceptions import ClientConnectorError, ClientResponseError
import voluptuous as vol
from aioautomower import GetAccessToken, GetMowerData, TokenError
from homeassistant import data_entry_flow, config_entries
from homeassistant.const import (
ATTR_CREDENTIALS,
CO... | custom_components/husqvarna_automower/config_flow.py | import logging
import os
from aiohttp.client_exceptions import ClientConnectorError, ClientResponseError
import voluptuous as vol
from aioautomower import GetAccessToken, GetMowerData, TokenError
from homeassistant import data_entry_flow, config_entries
from homeassistant.const import (
ATTR_CREDENTIALS,
CO... | 0.60743 | 0.112283 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import tensorflow as tf
import numpy as np
import utils
import train_data
# Some configs
num_features = 13
epoch_save_step = 100 # save the checkpoint every
# Accounting the 0th indice + space + ... | ctc_tensorflow_multidata_example.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import tensorflow as tf
import numpy as np
import utils
import train_data
# Some configs
num_features = 13
epoch_save_step = 100 # save the checkpoint every
# Accounting the 0th indice + space + ... | 0.810479 | 0.407569 |
import math
import numpy as np
import jittor as jt
def simple_presum(x):
src = '''
__inline_static__
@python.jittor.auto_parallel(1)
void kernel(int n0, int i0, in0_type* x, in0_type* out, int nl) {
out[i0*(nl+1)] = 0;
for (int i=0; i<nl; i++)
out[i0*(nl+1)+i+1] = out[i0*(nl+1)+i] + x[i0*nl+i];
}
k... | python/jittor/distributions.py | import math
import numpy as np
import jittor as jt
def simple_presum(x):
src = '''
__inline_static__
@python.jittor.auto_parallel(1)
void kernel(int n0, int i0, in0_type* x, in0_type* out, int nl) {
out[i0*(nl+1)] = 0;
for (int i=0; i<nl; i++)
out[i0*(nl+1)+i+1] = out[i0*(nl+1)+i] + x[i0*nl+i];
}
k... | 0.390476 | 0.354712 |
import pandas
def k_nearest_for_query(df,query,k=5):
"""
参数：查询字符串query
返回值：满足query中的每一词项都相邻不超过k的文档列表
"""
# query = query.lower().split(" ")
query = query.split(" ")
length=len(query)
if(length<=1):
print("Error:k_nearest_search need at least two words!")
return []
i... | miniSearchEngine/construct_engine/k_nearest_neighbors.py | import pandas
def k_nearest_for_query(df,query,k=5):
"""
参数：查询字符串query
返回值：满足query中的每一词项都相邻不超过k的文档列表
"""
# query = query.lower().split(" ")
query = query.split(" ")
length=len(query)
if(length<=1):
print("Error:k_nearest_search need at least two words!")
return []
i... | 0.071737 | 0.33039 |
from app.legal import bp
from flask import render_template, flash, redirect, url_for, request, send_from_directory
from app import db
from app.legal.forms import GenerateIcaForm
from app.models import Domain, User, Sentry, Sale, Partner #CountryLead, RegionLead, TeamLead, Sale
from flask_login import current_user, logi... | app/legal/routes.py | from app.legal import bp
from flask import render_template, flash, redirect, url_for, request, send_from_directory
from app import db
from app.legal.forms import GenerateIcaForm
from app.models import Domain, User, Sentry, Sale, Partner #CountryLead, RegionLead, TeamLead, Sale
from flask_login import current_user, logi... | 0.35421 | 0.043978 |
from abc import ABCMeta, abstractmethod
from collections import defaultdict
from operator import eq, or_
from toolz.functoolz import curry, flip
from itertools import chain
from six.moves import reduce
class Selector(object):
__metaclass__ = ABCMeta
@abstractmethod
def __eq__(self, other):
raise No... | clinvoc/code_collections.py | from abc import ABCMeta, abstractmethod
from collections import defaultdict
from operator import eq, or_
from toolz.functoolz import curry, flip
from itertools import chain
from six.moves import reduce
class Selector(object):
__metaclass__ = ABCMeta
@abstractmethod
def __eq__(self, other):
raise No... | 0.781038 | 0.169509 |
from flask import Flask, url_for, render_template, Markup
import httplib
import re
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import HtmlFormatter
app = Flask(__name__)
app.config.from_pyfile('application.cfg')
base_url = app.config['BASE_URL']
base_path = ap... | log_highlighter.py | from flask import Flask, url_for, render_template, Markup
import httplib
import re
from pygments import highlight
from pygments.lexers import get_lexer_by_name
from pygments.formatters import HtmlFormatter
app = Flask(__name__)
app.config.from_pyfile('application.cfg')
base_url = app.config['BASE_URL']
base_path = ap... | 0.487551 | 0.04597 |
import datetime
from typing import Tuple
from django.conf.urls import url
from django.test import TestCase
from pip._vendor import requests
import random
import json
from rest_framework import status
# Create your tests here.
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN ... | sflcontrol/sflc/Tests/transaction.py | import datetime
from typing import Tuple
from django.conf.urls import url
from django.test import TestCase
from pip._vendor import requests
import random
import json
from rest_framework import status
# Create your tests here.
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN ... | 0.31363 | 0.093471 |
from __future__ import print_function
import filecmp
import os
import stat
import shutil
import llnl.util.tty as tty
from llnl.util.filesystem import mkdirp, touch, traverse_tree
__all__ = ['LinkTree']
empty_file_name = '.spack-empty'
def remove_link(src, dest):
if not os.path.islink(dest):
raise Valu... | lib/spack/llnl/util/link_tree.py | from __future__ import print_function
import filecmp
import os
import stat
import shutil
import llnl.util.tty as tty
from llnl.util.filesystem import mkdirp, touch, traverse_tree
__all__ = ['LinkTree']
empty_file_name = '.spack-empty'
def remove_link(src, dest):
if not os.path.islink(dest):
raise Valu... | 0.394901 | 0.121009 |
import unittest
from nebulizer.tools import Tool
from nebulizer.tools import Repository
from nebulizer.tools import ToolPanelSection
from nebulizer.tools import handle_repository_spec
from nebulizer.tools import normalise_toolshed_url
class TestTool(unittest.TestCase):
"""
Tests for the 'Tool' class
"""
... | test/test_tools.py |
import unittest
from nebulizer.tools import Tool
from nebulizer.tools import Repository
from nebulizer.tools import ToolPanelSection
from nebulizer.tools import handle_repository_spec
from nebulizer.tools import normalise_toolshed_url
class TestTool(unittest.TestCase):
"""
Tests for the 'Tool' class
"""
... | 0.441553 | 0.357652 |
import cidc_api
from datetime import datetime
import json
import os
import pytest
from unittest.mock import MagicMock
from cidc_api.models.models import (
TrialMetadata,
UploadJobs,
Users,
)
from cidc_api.models.templates import ClinicalTrial
from cidc_api.models.templates.sync_schemas import (
_make_s... | tests/models/templates/test_sync_schemas.py | import cidc_api
from datetime import datetime
import json
import os
import pytest
from unittest.mock import MagicMock
from cidc_api.models.models import (
TrialMetadata,
UploadJobs,
Users,
)
from cidc_api.models.templates import ClinicalTrial
from cidc_api.models.templates.sync_schemas import (
_make_s... | 0.323594 | 0.220217 |
import shutil
from typing import List
import typer
from wasabi import msg
from pytoil.cli import utils
from pytoil.config import Config
app = typer.Typer()
@app.command()
def remove(
projects: List[str] = typer.Argument(
None,
help="Name of the project(s) to delete.",
show_default=False... | pytoil/cli/remove.py | import shutil
from typing import List
import typer
from wasabi import msg
from pytoil.cli import utils
from pytoil.config import Config
app = typer.Typer()
@app.command()
def remove(
projects: List[str] = typer.Argument(
None,
help="Name of the project(s) to delete.",
show_default=False... | 0.526343 | 0.328381 |
import os
from slugify import slugify
services = [
{
'service': 'pumpwood-frontend',
'endpoint': [
'/gui/',
]
}, {
'service': 'pumpwood-auth-app',
'health-check': True,
'admin': True,
'endpoint': [
'/rest/registration/',
... | build/lib/pumpwood_deploy/endpoint_services/endpoint_services.py | import os
from slugify import slugify
services = [
{
'service': 'pumpwood-frontend',
'endpoint': [
'/gui/',
]
}, {
'service': 'pumpwood-auth-app',
'health-check': True,
'admin': True,
'endpoint': [
'/rest/registration/',
... | 0.36727 | 0.066539 |
symbols = [
"!",
"#!#",
"#?#",
"$",
"$_goal_$",
"%",
"%%",
"*",
"*_c",
"+",
"++",
"+_c",
",",
"-",
"--->",
"-->",
"..",
"////",
"/\\",
"<",
"<<",
"<<<",
"<=",
"<=_c",
"<_c",
"=",
"==",
"==>",
"=_c",
"... | symbols.py | symbols = [
"!",
"#!#",
"#?#",
"$",
"$_goal_$",
"%",
"%%",
"*",
"*_c",
"+",
"++",
"+_c",
",",
"-",
"--->",
"-->",
"..",
"////",
"/\\",
"<",
"<<",
"<<<",
"<=",
"<=_c",
"<_c",
"=",
"==",
"==>",
"=_c",
"... | 0.221856 | 0.429549 |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name="Component",
fields=[
(
"id",
models.AutoField(
... | web/system/migrations/0001_initial.py |
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = []
operations = [
migrations.CreateModel(
name="Component",
fields=[
(
"id",
models.AutoField(
... | 0.695338 | 0.231093 |
import json
import requests
import pykintone.structure as ps
from pykintone.application_settings.base_administration_api import BaseAdministrationAPI
import pykintone.application_settings.setting_result as sr
class Administrator(BaseAdministrationAPI):
def __init__(self, account, api_token="", requests_options=(... | pykintone/application_settings/administrator.py | import json
import requests
import pykintone.structure as ps
from pykintone.application_settings.base_administration_api import BaseAdministrationAPI
import pykintone.application_settings.setting_result as sr
class Administrator(BaseAdministrationAPI):
def __init__(self, account, api_token="", requests_options=(... | 0.368974 | 0.113309 |
import pytz
import datetime
import time
import yaml
import argparse
from pathlib import Path
import datetime
from disneyScrayper import DisneyScraper
from reserveInfo import get_reserveInfo, get_ticketInfo
from alertSystem import AlertReserveStatus
from config import ConfigInfo
def get_argument():
parser = argpa... | main.py | import pytz
import datetime
import time
import yaml
import argparse
from pathlib import Path
import datetime
from disneyScrayper import DisneyScraper
from reserveInfo import get_reserveInfo, get_ticketInfo
from alertSystem import AlertReserveStatus
from config import ConfigInfo
def get_argument():
parser = argpa... | 0.309024 | 0.086323 |
import atexit
import logging
import os
import smtplib
import sys
from datetime import datetime
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import durationpy
import yaml
from apscheduler.schedulers.blocking import BlockingScheduler
from requ... | app.py | import atexit
import logging
import os
import smtplib
import sys
from datetime import datetime
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import durationpy
import yaml
from apscheduler.schedulers.blocking import BlockingScheduler
from requ... | 0.175326 | 0.063861 |
from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk.errors import YError, YModelError
from ydk.errors.error_handler import handle_type_error as _handle_type_error
cl... | cisco-ios-xe/ydk/models/cisco_ios_xe/Cisco_IOS_XE_ntp_oper.py | from collections import OrderedDict
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.filters import YFilter
from ydk.errors import YError, YModelError
from ydk.errors.error_handler import handle_type_error as _handle_type_error
cl... | 0.63443 | 0.510924 |
import tkinter as tk
import tkinter.scrolledtext as st
import json
import os
selectedItem = []
project = [['new item', "description", ['tags'], 'white', 'more information']]
selectedIndex = 0
bg = '#C5C5C5'
def loadProject(filename='data.json'):
if not os.path.exists(filename):
json.dump(project, open(... | session5/ibox.py | import tkinter as tk
import tkinter.scrolledtext as st
import json
import os
selectedItem = []
project = [['new item', "description", ['tags'], 'white', 'more information']]
selectedIndex = 0
bg = '#C5C5C5'
def loadProject(filename='data.json'):
if not os.path.exists(filename):
json.dump(project, open(... | 0.209631 | 0.074736 |
import argparse
import os
import os.path as osp
import torch
from vedacore.misc import Config, load_weights, ProgressBar, mkdir_or_exist
from configs.trainval.tinaface.test_widerface import prepare
import matplotlib.pyplot as plt
def parse_args():
parser = argparse.ArgumentParser(description='Train a detector')
... | configs/trainval/tinaface_masked/test_mafa.py | import argparse
import os
import os.path as osp
import torch
from vedacore.misc import Config, load_weights, ProgressBar, mkdir_or_exist
from configs.trainval.tinaface.test_widerface import prepare
import matplotlib.pyplot as plt
def parse_args():
parser = argparse.ArgumentParser(description='Train a detector')
... | 0.442877 | 0.209551 |
import os, unittest
from State import State
from model import regression
states = ['Alaska','Alabama','Arkansas', 'Arizona','California','Colorado',
'Connecticut','Delaware','Florida','Georgia','Hawaii','Iowa','Idaho',
'Illinois','Indiana','Kansas','Kentucky','Louisiana','Massachusetts','Maryland',
'Maine','Mich... | artifacts/tests/backend_tests/test-U029.py | import os, unittest
from State import State
from model import regression
states = ['Alaska','Alabama','Arkansas', 'Arizona','California','Colorado',
'Connecticut','Delaware','Florida','Georgia','Hawaii','Iowa','Idaho',
'Illinois','Indiana','Kansas','Kentucky','Louisiana','Massachusetts','Maryland',
'Maine','Mich... | 0.28897 | 0.388792 |
from pythonian import *
import logging
import time
logger = logging.getLogger('TestAgent')
class TestAgent(Pythonian):
name = "TestAgent" # This is the name of the agent to register with
def __init__(self, **kwargs):
super(TestAgent, self).__init__(**kwargs)
self.add_ask('test_ask_return_list... | archive/test_agent_old.py | from pythonian import *
import logging
import time
logger = logging.getLogger('TestAgent')
class TestAgent(Pythonian):
name = "TestAgent" # This is the name of the agent to register with
def __init__(self, **kwargs):
super(TestAgent, self).__init__(**kwargs)
self.add_ask('test_ask_return_list... | 0.412767 | 0.340156 |
from __future__ import annotations
from typing import Any
from typing import Dict
from typing import List
from typing import NamedTuple
from typing import Optional
import peony.exceptions
from peony import PeonyClient
class ClientException(Exception):
pass
class UserNotFound(ClientException):
def __init__... | tothc/clients/twitter.py | from __future__ import annotations
from typing import Any
from typing import Dict
from typing import List
from typing import NamedTuple
from typing import Optional
import peony.exceptions
from peony import PeonyClient
class ClientException(Exception):
pass
class UserNotFound(ClientException):
def __init__... | 0.838696 | 0.116663 |
import numpy as np
import json
import matplotlib.pyplot as plt
from PIL import Image
import seaborn as sns
sns.set(font_scale=1.5, style='white')
from sklearn.utils import compute_class_weight
from sklearn.metrics import classification_report, confusion_matrix, roc_curve, roc_auc_score, precision_recall_curve, auc, f1... | covid/metrics.py | import numpy as np
import json
import matplotlib.pyplot as plt
from PIL import Image
import seaborn as sns
sns.set(font_scale=1.5, style='white')
from sklearn.utils import compute_class_weight
from sklearn.metrics import classification_report, confusion_matrix, roc_curve, roc_auc_score, precision_recall_curve, auc, f1... | 0.697506 | 0.446676 |
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('dark')
#SCN modules
import functions.statistical_functions as Sfun
def distro_plots(data):
'''
Wrapper function around sns.histplots to plot the distibution of clustering,
shortest_path, assortativity, modularity and efficiency.
... | functions/plotting_functions.py | import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('dark')
#SCN modules
import functions.statistical_functions as Sfun
def distro_plots(data):
'''
Wrapper function around sns.histplots to plot the distibution of clustering,
shortest_path, assortativity, modularity and efficiency.
... | 0.824144 | 0.702908 |
import os
import json
from argparse import ArgumentParser
from cbm3_aws import log_helper
from cbm3_aws.namespace import Namespace
from cbm3_aws.aws import execution
def main():
parser = ArgumentParser(
description="Starts an execution on a cbm3_aws cluster")
parser.add_argument(
"--resource... | cbm3_aws/scripts/start_execution.py | import os
import json
from argparse import ArgumentParser
from cbm3_aws import log_helper
from cbm3_aws.namespace import Namespace
from cbm3_aws.aws import execution
def main():
parser = ArgumentParser(
description="Starts an execution on a cbm3_aws cluster")
parser.add_argument(
"--resource... | 0.465387 | 0.105073 |
import os
import json
import codecs
# NER
def struct_to_bio(args):
struct_ann_path = args.struct_ann_path
output_dir = args.output_dir
oversampling_rate = args.oversampling_rate
separate_docs = args.separate_docs
bio_dict = struct_to_bio_dict(struct_ann_path, oversampling_rate)
if not os.pa... | medtrialextractor/formatting/struct_to_bio.py | import os
import json
import codecs
# NER
def struct_to_bio(args):
struct_ann_path = args.struct_ann_path
output_dir = args.output_dir
oversampling_rate = args.oversampling_rate
separate_docs = args.separate_docs
bio_dict = struct_to_bio_dict(struct_ann_path, oversampling_rate)
if not os.pa... | 0.269614 | 0.197328 |
import os
import sys
from functools import partial
import numpy as np
import torch
from torch.distributions import Normal
base_path = os.path.join(os.path.dirname(__file__), "..")
if not base_path in sys.path:
sys.path.append(base_path)
from gptorch.model import Model
from gptorch.param import Param
from gptorch... | test/test_model.py | import os
import sys
from functools import partial
import numpy as np
import torch
from torch.distributions import Normal
base_path = os.path.join(os.path.dirname(__file__), "..")
if not base_path in sys.path:
sys.path.append(base_path)
from gptorch.model import Model
from gptorch.param import Param
from gptorch... | 0.609989 | 0.349227 |
from random import randrange
import json
import glob
import os
def import_quizlet_lineskip_fix(filepath, fbsep="\t", cardsep="\n"):
"""
Take a Quizlet flashcard export either that by default uses tab for card front and back,
and linebreak for new card, or a custom export that uses custom characters to separat... | Flashcards_0.3.py | from random import randrange
import json
import glob
import os
def import_quizlet_lineskip_fix(filepath, fbsep="\t", cardsep="\n"):
"""
Take a Quizlet flashcard export either that by default uses tab for card front and back,
and linebreak for new card, or a custom export that uses custom characters to separat... | 0.455441 | 0.283135 |
import math
from collections.abc import Iterable
class Welford():
"""Accumulator object for Welfords online variance algorithm."""
def __init__(self, data=None):
"""Initialize with an optional data. Data can be a scalar value or an iterable of values."""
self.__count = 0
self.__m1 = 0.... | welford.py | import math
from collections.abc import Iterable
class Welford():
"""Accumulator object for Welfords online variance algorithm."""
def __init__(self, data=None):
"""Initialize with an optional data. Data can be a scalar value or an iterable of values."""
self.__count = 0
self.__m1 = 0.... | 0.907758 | 0.534127 |
import unittest
from solumdashboard.common import workflow_parsers
MISTRAL_DSL = {
"Namespaces": {
"Nova": {
"actions": "random data"
}
},
"Workflow": {
"tasks": {
"createVM": {
"action": "Nova.createVM",
"parameters": {
... | solumdashboard/tests/common/test_workflow_parsers.py |
import unittest
from solumdashboard.common import workflow_parsers
MISTRAL_DSL = {
"Namespaces": {
"Nova": {
"actions": "random data"
}
},
"Workflow": {
"tasks": {
"createVM": {
"action": "Nova.createVM",
"parameters": {
... | 0.665519 | 0.477981 |
from shapenet.layer.homogeneous_transform_layer import \
HomogeneousTransformationLayer, \
_HomogeneousTransformationLayerCpp, \
_HomogeneousTransformationLayerPy
import torch
def test_homogeneous_transform_layer():
shapes_2d = torch.rand(10, 68, 2, requires_grad=True)
rotation_params_2d = torch.r... | tests/layer/test_homogeneous_transform_layer.py | from shapenet.layer.homogeneous_transform_layer import \
HomogeneousTransformationLayer, \
_HomogeneousTransformationLayerCpp, \
_HomogeneousTransformationLayerPy
import torch
def test_homogeneous_transform_layer():
shapes_2d = torch.rand(10, 68, 2, requires_grad=True)
rotation_params_2d = torch.r... | 0.725843 | 0.682005 |
import numpy as np
import pytest
import pyccl as ccl
COSMO = ccl.Cosmology(
Omega_c=0.27, Omega_b=0.045, h=0.67, sigma8=0.8, n_s=0.96,
transfer_function='bbks', matter_power_spectrum='linear')
COSMO_NU = ccl.Cosmology(
Omega_c=0.27, Omega_b=0.045, h=0.67, sigma8=0.8, n_s=0.96,
transfer_function='bbks... | pyccl/tests/test_background.py | import numpy as np
import pytest
import pyccl as ccl
COSMO = ccl.Cosmology(
Omega_c=0.27, Omega_b=0.045, h=0.67, sigma8=0.8, n_s=0.96,
transfer_function='bbks', matter_power_spectrum='linear')
COSMO_NU = ccl.Cosmology(
Omega_c=0.27, Omega_b=0.045, h=0.67, sigma8=0.8, n_s=0.96,
transfer_function='bbks... | 0.543833 | 0.385375 |
from datetime import datetime
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from django.http import HttpResponseServerError
from django.shortcuts import render
from django.urls import reverse
from django.views import View
from leancloud import Object
from leancloud import Query
fro... | views.py |
from datetime import datetime
from django.http import HttpResponse
from django.http import HttpResponseRedirect
from django.http import HttpResponseServerError
from django.shortcuts import render
from django.urls import reverse
from django.views import View
from leancloud import Object
from leancloud import Query
fro... | 0.412648 | 0.073863 |
"""Kernel Density Estimation (KDE) for Unsupervised Outlier Detection.
"""
# Author: <NAME> <<EMAIL>>
# License: BSD 2 clause
from __future__ import division, print_function
from warnings import warn
from sklearn.neighbors import KernelDensity
from sklearn.utils import check_array
from sklearn.utils.validation impor... | pyod/models/kde.py | """Kernel Density Estimation (KDE) for Unsupervised Outlier Detection.
"""
# Author: <NAME> <<EMAIL>>
# License: BSD 2 clause
from __future__ import division, print_function
from warnings import warn
from sklearn.neighbors import KernelDensity
from sklearn.utils import check_array
from sklearn.utils.validation impor... | 0.969685 | 0.808294 |
import unittest
import os
from tests.setup_scripts import ring_road_exp_setup
from flow.core.params import EnvParams
from flow.core.vehicles import Vehicles
from flow.core.rewards import average_velocity, total_velocity, \
desired_velocity
os.environ["TEST_FLAG"] = "True"
class TestRewards(unittest.TestCase):
... | tests/fast_tests/test_rewards.py | import unittest
import os
from tests.setup_scripts import ring_road_exp_setup
from flow.core.params import EnvParams
from flow.core.vehicles import Vehicles
from flow.core.rewards import average_velocity, total_velocity, \
desired_velocity
os.environ["TEST_FLAG"] = "True"
class TestRewards(unittest.TestCase):
... | 0.794505 | 0.622 |
from queue import Queue
import numpy as np
import pandas as pd
from .problem import Problem
class Solver:
def __init__(self):
pass
def solve(self, problem: Problem):
# 初期化
cells = problem.cells.copy()
H, W = cells.shape
sy, sx = -1, -1
n_foods = 0
fo... | problem/solve.py | from queue import Queue
import numpy as np
import pandas as pd
from .problem import Problem
class Solver:
def __init__(self):
pass
def solve(self, problem: Problem):
# 初期化
cells = problem.cells.copy()
H, W = cells.shape
sy, sx = -1, -1
n_foods = 0
fo... | 0.338296 | 0.371308 |
import inspect
from functools import partial
from numba.experimental import structref
from numba.core import types
from africanus.experimental.rime.fused.error import InvalidSignature
@structref.register
class StateStructRef(types.StructRef):
def preprocess_fields(self, fields):
""" Disallow literal typ... | africanus/experimental/rime/fused/terms/core.py | import inspect
from functools import partial
from numba.experimental import structref
from numba.core import types
from africanus.experimental.rime.fused.error import InvalidSignature
@structref.register
class StateStructRef(types.StructRef):
def preprocess_fields(self, fields):
""" Disallow literal typ... | 0.786541 | 0.466238 |
from scs_host.bus.i2c import I2C
from scs_psu.psu.opcube_v1.psu_status import ChargerStatus
# --------------------------------------------------------------------------------------------------------------------
class PCA9534(object):
"""
Texas Instruments PCA9534A remote 8-bit I/O expander
"""
DEFA... | src/scs_psu/psu/opcube_v1/pca9534.py | from scs_host.bus.i2c import I2C
from scs_psu.psu.opcube_v1.psu_status import ChargerStatus
# --------------------------------------------------------------------------------------------------------------------
class PCA9534(object):
"""
Texas Instruments PCA9534A remote 8-bit I/O expander
"""
DEFA... | 0.326057 | 0.12749 |
from pprint import pformat
from six import iteritems
import re
class Traveler(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
... | travel/docs/Amadeus-master/pactravel-master/swagger_client/models/traveler.py | from pprint import pformat
from six import iteritems
import re
class Traveler(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
... | 0.73412 | 0.210178 |
import django.contrib.auth.models
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migrations.CreateModel(
... | backend/backadmin/migrations/0001_initial.py |
import django.contrib.auth.models
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migrations.CreateModel(
... | 0.497559 | 0.268216 |
import tensorflow as tf
from tensorflow import keras
print(tf.VERSION)
print(tf.keras.__version__)
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.inception_v3 import preprocess_input
from tensorflow.keras.models import Model
from tensorflow.keras import backend as K
import matplo... | predict.py | import tensorflow as tf
from tensorflow import keras
print(tf.VERSION)
print(tf.keras.__version__)
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications.inception_v3 import preprocess_input
from tensorflow.keras.models import Model
from tensorflow.keras import backend as K
import matplo... | 0.292292 | 0.205595 |
import shutil
import unittest
from pysp.sbasic import SFile
from pysp.serror import SDebug
from pysp.sconf import SConfig
class Expected:
default_vehicle = '''
car:
sedan:
SM6:
transmission: cvt
suv:
QM6:
transmission: cvt
'''.strip()
user_vehicle = '''
car:
... | test/test_sconf_sconfig.py | import shutil
import unittest
from pysp.sbasic import SFile
from pysp.serror import SDebug
from pysp.sconf import SConfig
class Expected:
default_vehicle = '''
car:
sedan:
SM6:
transmission: cvt
suv:
QM6:
transmission: cvt
'''.strip()
user_vehicle = '''
car:
... | 0.335351 | 0.304287 |
from unittest import mock
import cv2
import pytest
from ..utils import is_valid_rtsp, normalize_rtsp, verify_rtsp
@pytest.mark.parametrize(
"rtsp_str, output",
[
[0, True],
["0", True],
[1, True],
["1", True],
[2, False],
["2", False],
["RTSP://QQ", Tr... | factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/cameras/tests/test_utils.py | from unittest import mock
import cv2
import pytest
from ..utils import is_valid_rtsp, normalize_rtsp, verify_rtsp
@pytest.mark.parametrize(
"rtsp_str, output",
[
[0, True],
["0", True],
[1, True],
["1", True],
[2, False],
["2", False],
["RTSP://QQ", Tr... | 0.712132 | 0.553988 |
import json
from django.contrib.auth.decorators import login_required
from django.core import serializers
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from core.models import Subject, Students, SessionYear, Attendance, Atte... | core/views_staff.py | import json
from django.contrib.auth.decorators import login_required
from django.core import serializers
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
from core.models import Subject, Students, SessionYear, Attendance, Atte... | 0.359477 | 0.075414 |
import numpy as np
def check_images(fusioned, original):
assert len(fusioned) == len(original), "Supplied images have different sizes " + \
str(fusioned.shape) + " and " + str(original.shape)
if(len(fusioned.shape) == len(original.shape)):
estado = 'mtom'
if(len(fusioned.shape) == 2):
... | sallfus/measures.py | import numpy as np
def check_images(fusioned, original):
assert len(fusioned) == len(original), "Supplied images have different sizes " + \
str(fusioned.shape) + " and " + str(original.shape)
if(len(fusioned.shape) == len(original.shape)):
estado = 'mtom'
if(len(fusioned.shape) == 2):
... | 0.442637 | 0.797537 |
import os
import datetime
from abc import ABC
from collections import OrderedDict, namedtuple
from contextlib import contextmanager
import sqlite3
from .datatypes import DerivedKeySetup
ProjectInfo = namedtuple('ProjectInfo', 'name base_path num_files')
class Constraint:
def __init__(self, this_column, other_t... | aws_glacier_manager/database.py | import os
import datetime
from abc import ABC
from collections import OrderedDict, namedtuple
from contextlib import contextmanager
import sqlite3
from .datatypes import DerivedKeySetup
ProjectInfo = namedtuple('ProjectInfo', 'name base_path num_files')
class Constraint:
def __init__(self, this_column, other_t... | 0.622345 | 0.102394 |
import os
import pickle
from argparse import ArgumentParser
import compress_pickle
def absolute_file_paths(directory: str):
"""
Function to get all the absolute path of files into a directory.
:param directory: The directory to yield all the absolute file paths from.
:return: Yield all the path in ... | lzma_decompress.py | import os
import pickle
from argparse import ArgumentParser
import compress_pickle
def absolute_file_paths(directory: str):
"""
Function to get all the absolute path of files into a directory.
:param directory: The directory to yield all the absolute file paths from.
:return: Yield all the path in ... | 0.611962 | 0.16378 |
from functools import wraps
from flask import abort
from flask import Blueprint
from flask import current_app
from flask_restful import Api
from flask_restful import Resource
from flask_restful import reqparse
import itsdangerous
from sqlalchemy.orm.exc import NoResultFound
from werkzeug.datastructures import FileStor... | flask_pblog/resources.py | from functools import wraps
from flask import abort
from flask import Blueprint
from flask import current_app
from flask_restful import Api
from flask_restful import Resource
from flask_restful import reqparse
import itsdangerous
from sqlalchemy.orm.exc import NoResultFound
from werkzeug.datastructures import FileStor... | 0.619471 | 0.09472 |
import imageio
import torch
import time
from tqdm import tqdm
from animate import normalize_kp
from demo import load_checkpoints
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from skimage import img_as_ubyte
from skimage.transform import resize
import cv2
import os
import a... | src/renderer/python/image_animation.py | import imageio
import torch
import time
from tqdm import tqdm
from animate import normalize_kp
from demo import load_checkpoints
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from skimage import img_as_ubyte
from skimage.transform import resize
import cv2
import os
import a... | 0.225331 | 0.119126 |
import os
import pandas as pd
import requests
from typing import Dict
import requests
import json
from dotenv import load_dotenv
load_dotenv()
URL = 'https://www.googleapis.com/youtube/v3/'
API_KEY = os.getenv('API_KEY')
PLAYLIST_ID = os.getenv('PLAYLIST_ID')
# 1つ目の動画のコメント情報を取得
# VIDEO_ID = '1vAUY1qNF1Q'
# CHANNEL_... | main.py | import os
import pandas as pd
import requests
from typing import Dict
import requests
import json
from dotenv import load_dotenv
load_dotenv()
URL = 'https://www.googleapis.com/youtube/v3/'
API_KEY = os.getenv('API_KEY')
PLAYLIST_ID = os.getenv('PLAYLIST_ID')
# 1つ目の動画のコメント情報を取得
# VIDEO_ID = '1vAUY1qNF1Q'
# CHANNEL_... | 0.129306 | 0.060169 |
import werkzeug.security
from werkzeug.utils import secure_filename
from flask import render_template, redirect, url_for, flash, request
from flask_login import LoginManager, current_user, login_required, logout_user, login_user
from flask_bootstrap import Bootstrap
from gallery import app, db, models
from gallery.form... | gallery/views.py | import werkzeug.security
from werkzeug.utils import secure_filename
from flask import render_template, redirect, url_for, flash, request
from flask_login import LoginManager, current_user, login_required, logout_user, login_user
from flask_bootstrap import Bootstrap
from gallery import app, db, models
from gallery.form... | 0.240239 | 0.074097 |
import sys
import torch
import torch.nn.functional as F
import os
import argparse
import copy
import nibabel as nib
import numpy as np
import math
from models.segtran_modified.code.networks.segtran3d import Segtran3d, set_segtran3d_config, CONFIG
from models.gan_based_unet.multiscale_generator import MultiscaleGenerat... | app/model_controller/model_loader.py | import sys
import torch
import torch.nn.functional as F
import os
import argparse
import copy
import nibabel as nib
import numpy as np
import math
from models.segtran_modified.code.networks.segtran3d import Segtran3d, set_segtran3d_config, CONFIG
from models.gan_based_unet.multiscale_generator import MultiscaleGenerat... | 0.35209 | 0.173656 |
from logging import Logger
import numpy as np
import os
import time
from typing_extensions import Literal
# noinspection PyPackageRequirements
from tap import Tap
from tqdm import tqdm
from conformation.funnel_sampler import funnel_pdf, funnel_sample
from conformation.gmm_sampler import gmm_pdf, gmm_sample... | conformation/basic_metropolis.py | from logging import Logger
import numpy as np
import os
import time
from typing_extensions import Literal
# noinspection PyPackageRequirements
from tap import Tap
from tqdm import tqdm
from conformation.funnel_sampler import funnel_pdf, funnel_sample
from conformation.gmm_sampler import gmm_pdf, gmm_sample... | 0.717903 | 0.185652 |
class ConsoleColors:
"""Console colors and formats"""
ResetAll = "\033[0m"
Bold = "\033[1m"
Dim = "\033[2m"
Underlined = "\033[4m"
Blink = "\033[5m"
Reverse = "\033[7m"
Hidden = "\033[8m"
ResetBold = "\033[21m"
ResetDim = "\033[22m"
ResetUnderlined = "\033[24m"
Re... | console.py |
class ConsoleColors:
"""Console colors and formats"""
ResetAll = "\033[0m"
Bold = "\033[1m"
Dim = "\033[2m"
Underlined = "\033[4m"
Blink = "\033[5m"
Reverse = "\033[7m"
Hidden = "\033[8m"
ResetBold = "\033[21m"
ResetDim = "\033[22m"
ResetUnderlined = "\033[24m"
Re... | 0.588534 | 0.095941 |
import textwrap
import pickle
import re
def process_body(doc_pickle_file, output_file):
document_body = None
with open(doc_pickle_file, 'rb') as body_pickle:
document_body = pickle.load(body_pickle)
with open(output_file, 'w') as output:
MarkdownConverter(document_body, output)
c... | converters/markdown.py | import textwrap
import pickle
import re
def process_body(doc_pickle_file, output_file):
document_body = None
with open(doc_pickle_file, 'rb') as body_pickle:
document_body = pickle.load(body_pickle)
with open(output_file, 'w') as output:
MarkdownConverter(document_body, output)
c... | 0.155174 | 0.055566 |
import pickle
import h5py
import numpy as np
import sklearn
import sklearn.decomposition
import sklearn.linear_model
import sklearn.preprocessing
from fastprogress.fastprogress import force_console_behavior
import mabe
import mabe.config
import mabe.loss
import mabe.model
import mabe.ringbuffer
# %%
num_splits = 32
... | hydrogen/create_splits.py | import pickle
import h5py
import numpy as np
import sklearn
import sklearn.decomposition
import sklearn.linear_model
import sklearn.preprocessing
from fastprogress.fastprogress import force_console_behavior
import mabe
import mabe.config
import mabe.loss
import mabe.model
import mabe.ringbuffer
# %%
num_splits = 32
... | 0.386532 | 0.291422 |