code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import time, copy
from bson.objectid import ObjectId
import helper
from config import setting
db = setting.db_web
# 修改目录版本时，更新所有此目录下页面版本信息
# 修改目录可用状态时，更新所有此目录下页面可用状态
def dir_update(dir_id, update_set):
if dir_id=='':
return
db.pages.update_one({'_id':ObjectId(dir_id), 'page_type':1}, {'$set':update_... | src/libs/page_helper.py |
import time, copy
from bson.objectid import ObjectId
import helper
from config import setting
db = setting.db_web
# 修改目录版本时，更新所有此目录下页面版本信息
# 修改目录可用状态时，更新所有此目录下页面可用状态
def dir_update(dir_id, update_set):
if dir_id=='':
return
db.pages.update_one({'_id':ObjectId(dir_id), 'page_type':1}, {'$set':update_... | 0.131731 | 0.064653 |
import torch
from torch.autograd import Variable
import random
import time
import math
import numpy as np
import csv
import warnings
from rdkit import Chem
from rdkit import DataStructs
class GeneratorData(object):
def __init__(self, training_data_path, replay_data=None, replay_capacity=10000, use_cuda=None):
... | data.py | import torch
from torch.autograd import Variable
import random
import time
import math
import numpy as np
import csv
import warnings
from rdkit import Chem
from rdkit import DataStructs
class GeneratorData(object):
def __init__(self, training_data_path, replay_data=None, replay_capacity=10000, use_cuda=None):
... | 0.717804 | 0.339171 |
import basix
import numpy
import pytest
import sympy
def sympy_nedelec(celltype, n):
# These basis functions were computed using symfem. They can be recomputed
# by running (eg):
# import symfem
# e = symfem.create_element("triangle", "N1curl", 2)
# print(e.get_basis_functions())
x =... | test/test_nedelec.py |
import basix
import numpy
import pytest
import sympy
def sympy_nedelec(celltype, n):
# These basis functions were computed using symfem. They can be recomputed
# by running (eg):
# import symfem
# e = symfem.create_element("triangle", "N1curl", 2)
# print(e.get_basis_functions())
x =... | 0.193376 | 0.35145 |
import os
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from torch.utils.data.sampler import SubsetRandomSampler
from controller import Controller
from child import Child
from cosine_optim import cosine_annealing_schedu... | enas/train_final.py | import os
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from torch.utils.data.sampler import SubsetRandomSampler
from controller import Controller
from child import Child
from cosine_optim import cosine_annealing_schedu... | 0.676406 | 0.364099 |
import price
import numpy
import thinkplot
import thinkbayes
def CH6_2(price1, price2):
"""
两组展览品的价格分布
"""
thinkplot.Clf()
thinkplot.PrePlot(num=2)
# 因为price变量值没有重复的, 所以PMF绘图是看不出什么的.
# price1_pmf = thinkbayes.MakePmfFromList(price1, name='showcase1')
# price2_pmf = thinkbayes.MakePmfF... | python/learn/thinkbayes/ch06.py |
import price
import numpy
import thinkplot
import thinkbayes
def CH6_2(price1, price2):
"""
两组展览品的价格分布
"""
thinkplot.Clf()
thinkplot.PrePlot(num=2)
# 因为price变量值没有重复的, 所以PMF绘图是看不出什么的.
# price1_pmf = thinkbayes.MakePmfFromList(price1, name='showcase1')
# price2_pmf = thinkbayes.MakePmfF... | 0.229794 | 0.507934 |
import logging
from django.db.models import F
from django.utils import timezone
from kfusiontables.kft import KFusionTablesBase
from kfusiontables.kft.utils import (
convert_fields,
fusiontable_table_exist,
get_columns,
get_or_create_table_map,
get_rows,
get_senders,
get_table_maps,
ge... | kfusiontables/kft/kft.py | import logging
from django.db.models import F
from django.utils import timezone
from kfusiontables.kft import KFusionTablesBase
from kfusiontables.kft.utils import (
convert_fields,
fusiontable_table_exist,
get_columns,
get_or_create_table_map,
get_rows,
get_senders,
get_table_maps,
ge... | 0.258139 | 0.107391 |
import socket
import json
import threading
import time
import select
import sys
import signal
import os
import argparse
s = None
t1 = None
def prGreen(skk): print("\033[92m {}\033[00m".format(skk))
def receive_data():
global s
global session_type
while True: # checking wheather first messag... | 20.3/request_session.py | import socket
import json
import threading
import time
import select
import sys
import signal
import os
import argparse
s = None
t1 = None
def prGreen(skk): print("\033[92m {}\033[00m".format(skk))
def receive_data():
global s
global session_type
while True: # checking wheather first messag... | 0.038502 | 0.113383 |
from flask import Flask, jsonify, render_template, request
import sqlalchemy
from sqlalchemy import create_engine, func
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
import datetime as dt
# set up database
engine = create_engine("sqlite:///Resources/hawaii.sqlite")
# new model fo... | app.py | from flask import Flask, jsonify, render_template, request
import sqlalchemy
from sqlalchemy import create_engine, func
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
import datetime as dt
# set up database
engine = create_engine("sqlite:///Resources/hawaii.sqlite")
# new model fo... | 0.770119 | 0.326473 |
import struct
from djiprotocol import BaseCommand
from protocol.cmdsetcommon import SetPowerMode, FieldsDumpable
class ChannelCustomModel(object):
def __init__(self, a, b):
self.a = a
self.b = b
class DataRcGetControlMode(FieldsDumpable, BaseCommand):
_RESP_FIELDS = ('controlMode', '... | src/protocol/cmdsetrc.py | import struct
from djiprotocol import BaseCommand
from protocol.cmdsetcommon import SetPowerMode, FieldsDumpable
class ChannelCustomModel(object):
def __init__(self, a, b):
self.a = a
self.b = b
class DataRcGetControlMode(FieldsDumpable, BaseCommand):
_RESP_FIELDS = ('controlMode', '... | 0.374219 | 0.127843 |
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('rest_hooks', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
m... | rest_hooks_delivery/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('rest_hooks', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
m... | 0.601594 | 0.099426 |
import matplotlib.pyplot as plt
from pathlib import Path
import pandas as pd
import os
import numpy as np
def get_file_paths(file_directory):
file_paths = os.listdir(file_directory)
file_paths = list(filter(lambda f_path: os.path.isdir(file_directory / f_path), file_paths))
return file_paths
def plot_da... | pickle_plotting_v2.py | import matplotlib.pyplot as plt
from pathlib import Path
import pandas as pd
import os
import numpy as np
def get_file_paths(file_directory):
file_paths = os.listdir(file_directory)
file_paths = list(filter(lambda f_path: os.path.isdir(file_directory / f_path), file_paths))
return file_paths
def plot_da... | 0.400749 | 0.356083 |
from odoo import api,fields, models
class CreateEmployee(models.Model):
_inherit = 'res.users'
is_employee = fields.Boolean('Is Employee',copy=False)
position_id = fields.Many2one('hr.job',string='job Position')
@api.model_create_multi
def create(self, vals):
res = super(CreateEmployee, s... | bi_employee_from_user/models/employee.py | from odoo import api,fields, models
class CreateEmployee(models.Model):
_inherit = 'res.users'
is_employee = fields.Boolean('Is Employee',copy=False)
position_id = fields.Many2one('hr.job',string='job Position')
@api.model_create_multi
def create(self, vals):
res = super(CreateEmployee, s... | 0.38943 | 0.099077 |
# SqueezeNet v1.0 (2016)
# Paper: https://arxiv.org/pdf/1602.07360.pdf
import os
import tensorflow as tf
from tensorflow.keras import Input, Model
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Concatenate, Dropout
from tensorflow.keras.layers import GlobalAveragePooling2D, Activation
def stem(inputs, n_... | networks/squeezenet.py |
# SqueezeNet v1.0 (2016)
# Paper: https://arxiv.org/pdf/1602.07360.pdf
import os
import tensorflow as tf
from tensorflow.keras import Input, Model
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Concatenate, Dropout
from tensorflow.keras.layers import GlobalAveragePooling2D, Activation
def stem(inputs, n_... | 0.947962 | 0.593344 |
import random
import load_data_
import math
data = load_data_.data
w1=random.random()
w1_1=random.random()
w1_2=random.random()
w1_3=random.random()
w2=random.random()
w2_1=random.random()
w2_2=random.random()
w3=random.random()
w3_1=random.random()
w4=random.random()
b=random.random()
... | tictacbrain.py | import random
import load_data_
import math
data = load_data_.data
w1=random.random()
w1_1=random.random()
w1_2=random.random()
w1_3=random.random()
w2=random.random()
w2_1=random.random()
w2_2=random.random()
w3=random.random()
w3_1=random.random()
w4=random.random()
b=random.random()
... | 0.222785 | 0.218815 |
import os
import sys
import logging
from optparse import OptionParser
sys.path.append(os.sep.join(
os.path.dirname(os.path.abspath(__file__)).split(os.sep)[:-1]))
import libcloud_rest.log
from libcloud_rest.log import get_logger
from libcloud_rest.constants import VALID_LOG_LEVELS
DEBUG = False
def start_serve... | libcloud_rest/server.py | import os
import sys
import logging
from optparse import OptionParser
sys.path.append(os.sep.join(
os.path.dirname(os.path.abspath(__file__)).split(os.sep)[:-1]))
import libcloud_rest.log
from libcloud_rest.log import get_logger
from libcloud_rest.constants import VALID_LOG_LEVELS
DEBUG = False
def start_serve... | 0.20001 | 0.039769 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
from . import outputs
from ._inputs import *
__all__ = ['LoadBalancerServiceArgs', 'LoadBalancerService']
@pulumi.input_type
class LoadBalancerServiceArgs:
def __init_... | sdk/python/pulumi_hcloud/load_balancer_service.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import _utilities
from . import outputs
from ._inputs import *
__all__ = ['LoadBalancerServiceArgs', 'LoadBalancerService']
@pulumi.input_type
class LoadBalancerServiceArgs:
def __init_... | 0.86388 | 0.085442 |
from app.util import Singleton
import psycopg2
from psycopg2 import pool
class DatabasePoolConnection(metaclass=Singleton):
__instance = None
__conn_pool = None
def __init__(self):
self._connect()
if DatabasePoolConnection.__instance != None:
raise Exception("This class is a D... | ml-service/app/dao.py | from app.util import Singleton
import psycopg2
from psycopg2 import pool
class DatabasePoolConnection(metaclass=Singleton):
__instance = None
__conn_pool = None
def __init__(self):
self._connect()
if DatabasePoolConnection.__instance != None:
raise Exception("This class is a D... | 0.316898 | 0.062674 |
import warnings
from typing import ClassVar, Type
import numpy as np
from lisdf.plan_executor.executor import CommandExecutor
from lisdf.plan_executor.interpolator import PathInterpolator
from lisdf.plan_executor.robots.common import Robot
from lisdf.planner_output.command import JointSpacePath
class JointSpacePath... | lisdf/plan_executor/joint_space_path_executor.py | import warnings
from typing import ClassVar, Type
import numpy as np
from lisdf.plan_executor.executor import CommandExecutor
from lisdf.plan_executor.interpolator import PathInterpolator
from lisdf.plan_executor.robots.common import Robot
from lisdf.planner_output.command import JointSpacePath
class JointSpacePath... | 0.803983 | 0.308451 |
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHE... | test/test_pipe.py |
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHE... | 0.428353 | 0.31093 |
from telegram import Update, ReplyKeyboardRemove
from telegram.ext import ConversationHandler, CallbackContext
from main import db as db, logger, facts_to_str, bot, ADMIN
from keyboards import *
from steps import CHOOSING_ACTION, CHOOSING_KIND, TYPING_REPLY_FREE_SUGGEST, CHOOSING_GAME_GENRE, CHOOSING_GENRE, \
CHOO... | handlers.py | from telegram import Update, ReplyKeyboardRemove
from telegram.ext import ConversationHandler, CallbackContext
from main import db as db, logger, facts_to_str, bot, ADMIN
from keyboards import *
from steps import CHOOSING_ACTION, CHOOSING_KIND, TYPING_REPLY_FREE_SUGGEST, CHOOSING_GAME_GENRE, CHOOSING_GENRE, \
CHOO... | 0.281801 | 0.074231 |
import logging
from collections import Counter, defaultdict
from . import db
from .api import get_documents, get_submissions, get_submission
from .counter_utils import normalize
logger = logging.getLogger(__name__)
## Document distributions
def document_uniform(corpus_tag):
"""
The uniform distribution over ... | src/kbpo/distribution.py | import logging
from collections import Counter, defaultdict
from . import db
from .api import get_documents, get_submissions, get_submission
from .counter_utils import normalize
logger = logging.getLogger(__name__)
## Document distributions
def document_uniform(corpus_tag):
"""
The uniform distribution over ... | 0.448909 | 0.26456 |
# This analysis will produce incoherent results if PERIPHERAL_FRACTION value provided in
# the analysis_config.json file goes beyond the cytoplasm and within the nucleus
import collections
import pathlib
import numpy as np
from loguru import logger
import constants
import helpers
import plot
from helpers import ope... | src/analysis/peripheral_fraction_profile/peripheral_fraction_profile.py |
# This analysis will produce incoherent results if PERIPHERAL_FRACTION value provided in
# the analysis_config.json file goes beyond the cytoplasm and within the nucleus
import collections
import pathlib
import numpy as np
from loguru import logger
import constants
import helpers
import plot
from helpers import ope... | 0.638385 | 0.531574 |
from apiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
from pymongo import MongoClient
from datetime import date, datetime, timedelta
from crawler_combined import concert_ticket_data_list_crawler
import pprint
#today's date
today_int = date.today()
print("test_app - Toda... | ggl_cal_alt_1_insert.py | from apiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
from pymongo import MongoClient
from datetime import date, datetime, timedelta
from crawler_combined import concert_ticket_data_list_crawler
import pprint
#today's date
today_int = date.today()
print("test_app - Toda... | 0.255622 | 0.082033 |
import sys
import copy
import math
import getopt
from PIL import Image
def get_pixel(img, x, y):
"""Returns the value of a pixel"""
width = img.width
height = img.height
x_ = min(width-1, max(0, x))
y_ = min(height-1, max(0, y))
return img.getpixel((x_, y_))
def is_picture(img, x, y):
""... | extract.py | import sys
import copy
import math
import getopt
from PIL import Image
def get_pixel(img, x, y):
"""Returns the value of a pixel"""
width = img.width
height = img.height
x_ = min(width-1, max(0, x))
y_ = min(height-1, max(0, y))
return img.getpixel((x_, y_))
def is_picture(img, x, y):
""... | 0.431584 | 0.479808 |
import sys
sys.path.append("../")
import argparse
import math
import os
from ray import tune
from tqdm import tqdm
from beta_rec.core.train_engine import TrainEngine
from beta_rec.models.tvbr import TVBREngine
from beta_rec.utils.constants import MAX_N_UPDATE
from beta_rec.utils.monitor import Monitor
def parse_a... | examples/train_tvbr.py | import sys
sys.path.append("../")
import argparse
import math
import os
from ray import tune
from tqdm import tqdm
from beta_rec.core.train_engine import TrainEngine
from beta_rec.models.tvbr import TVBREngine
from beta_rec.utils.constants import MAX_N_UPDATE
from beta_rec.utils.monitor import Monitor
def parse_a... | 0.681197 | 0.135861 |
import torch
import torch.nn as nn
import pickle
import math
from sklearn.decomposition import PCA
from data_pipe.northeuralex import NortheuralexInfo
from data_pipe.celex import CelexInfo
class Context(nn.Module):
def __init__(self, hidden_size, nlayers=1):
super().__init__()
self.nlayers = nlay... | learn_pipe/model/context.py | import torch
import torch.nn as nn
import pickle
import math
from sklearn.decomposition import PCA
from data_pipe.northeuralex import NortheuralexInfo
from data_pipe.celex import CelexInfo
class Context(nn.Module):
def __init__(self, hidden_size, nlayers=1):
super().__init__()
self.nlayers = nlay... | 0.905717 | 0.512327 |
from pathlib import Path
try:
import mne
except ImportError:
print(
"You need to install toeplitzlda with neuro extras to run examples "
"with real EEG data, i.e. pip install toeplitzlda[neuro]"
)
exit(1)
from blockmatrix import linear_taper
from sklearn.discriminant_analysis import Li... | scripts/example_toeplitz_lda_bci_data.py | from pathlib import Path
try:
import mne
except ImportError:
print(
"You need to install toeplitzlda with neuro extras to run examples "
"with real EEG data, i.e. pip install toeplitzlda[neuro]"
)
exit(1)
from blockmatrix import linear_taper
from sklearn.discriminant_analysis import Li... | 0.661267 | 0.447219 |
from typing import Any, Dict, List, Optional, Tuple, Union
from torch.nn.modules.utils import _pair, _single, _triple
from firewood.common.types import INT, SAME_PADDING
from firewood.layers.block import Block
from firewood.layers.conv_gradfix import (
GFixConv1d,
GFixConv2d,
GFixConv3d,
GFixConvTrans... | firewood/layers/conv_blocks.py | from typing import Any, Dict, List, Optional, Tuple, Union
from torch.nn.modules.utils import _pair, _single, _triple
from firewood.common.types import INT, SAME_PADDING
from firewood.layers.block import Block
from firewood.layers.conv_gradfix import (
GFixConv1d,
GFixConv2d,
GFixConv3d,
GFixConvTrans... | 0.945412 | 0.301388 |
from typing import List, Union, Tuple, Dict, Any
from haxballgym.envs.match import Match
from haxballgym.utils.common_values import NUM_ACTIONS
import numpy as np
from gym import Env
class Gym(Env):
def __init__(self, match: Match):
super().__init__()
self._match = match
self.observation... | haxballgym/gym.py | from typing import List, Union, Tuple, Dict, Any
from haxballgym.envs.match import Match
from haxballgym.utils.common_values import NUM_ACTIONS
import numpy as np
from gym import Env
class Gym(Env):
def __init__(self, match: Match):
super().__init__()
self._match = match
self.observation... | 0.959383 | 0.566378 |
from pyqtgraph.Qt import QtCore
import pyqtgraph as pg
from pyqtgraph.ptime import time
from PyQt4.QtGui import QBrush, QColor, QPen
from numpy import clip
import numpy as np
import sys
if sys.version_info.major == 2:
from Queue import Queue
else:
from queue import Queue
# ------------------------------------... | ContractionDetector/PythonEMGArmAngle/ArmGraph.py | from pyqtgraph.Qt import QtCore
import pyqtgraph as pg
from pyqtgraph.ptime import time
from PyQt4.QtGui import QBrush, QColor, QPen
from numpy import clip
import numpy as np
import sys
if sys.version_info.major == 2:
from Queue import Queue
else:
from queue import Queue
# ------------------------------------... | 0.465145 | 0.292115 |
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
class GenericNet(nn.Module):
'''
generic network used by actor and critic network.
'''
def __init__(self,
input_dims: int,
output_dims: int,
lr: float = 1e-4,
... | Actor_Critic/model.py | import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
class GenericNet(nn.Module):
'''
generic network used by actor and critic network.
'''
def __init__(self,
input_dims: int,
output_dims: int,
lr: float = 1e-4,
... | 0.937555 | 0.535341 |
from pathlib import Path
from shutil import copyfile
import glob
import math
from medpy.filter import smoothing
from skimage import io, img_as_ubyte, exposure
import numpy as np
import cv2
def create_directory(path):
path_to_file = Path(path)
parent_directory_of_file = path_to_file.parent
parent_directory... | crop.py | from pathlib import Path
from shutil import copyfile
import glob
import math
from medpy.filter import smoothing
from skimage import io, img_as_ubyte, exposure
import numpy as np
import cv2
def create_directory(path):
path_to_file = Path(path)
parent_directory_of_file = path_to_file.parent
parent_directory... | 0.339061 | 0.294031 |
import argparse
import os
import sys
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
from dBCQ_utils import BehaviorCloning
from utils import ReplayBuffer
def run(BC_network, train_dataloader, val_dataloader, num_epochs, storage_dir, loss_func):
# Cons... | scripts/train_behavCloning.py | import argparse
import os
import sys
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
from dBCQ_utils import BehaviorCloning
from utils import ReplayBuffer
def run(BC_network, train_dataloader, val_dataloader, num_epochs, storage_dir, loss_func):
# Cons... | 0.482185 | 0.272545 |
import logging
import json
import requests
from configparser import ConfigParser
from os import path
import kubernetes
import yaml
from argo.workflows import config
from argo.workflows.client import V1alpha1Api
from flask import Blueprint, jsonify, request
from kubernetes.client.rest import ApiException
from kubernete... | nevermined_compute_api/routes.py | import logging
import json
import requests
from configparser import ConfigParser
from os import path
import kubernetes
import yaml
from argo.workflows import config
from argo.workflows.client import V1alpha1Api
from flask import Blueprint, jsonify, request
from kubernetes.client.rest import ApiException
from kubernete... | 0.409693 | 0.084191 |
from typing import List, Tuple
import seaborn as sns
import matplotlib.pyplot as plt
from .utils import plt_set_font_style
def _check_data_format(data: List[dict]):
for i, datum in enumerate(data):
if "x" not in datum:
raise KeyError("No.{}: datum {} has no x.".format(i, datum))
if "... | ynlu/sdk/evaluation/plot/line_plot.py | from typing import List, Tuple
import seaborn as sns
import matplotlib.pyplot as plt
from .utils import plt_set_font_style
def _check_data_format(data: List[dict]):
for i, datum in enumerate(data):
if "x" not in datum:
raise KeyError("No.{}: datum {} has no x.".format(i, datum))
if "... | 0.793626 | 0.456289 |
# pylint: disable=invalid-name
from django.conf import settings
from django.contrib.auth import get_user_model
from django.core.urlresolvers import reverse
from django.test import Client
from django.test.utils import override_settings
from model_mommy import mommy
from tablib import import_set
from open_connect.connec... | open_connect/reporting/tests/test_views.py | # pylint: disable=invalid-name
from django.conf import settings
from django.contrib.auth import get_user_model
from django.core.urlresolvers import reverse
from django.test import Client
from django.test.utils import override_settings
from model_mommy import mommy
from tablib import import_set
from open_connect.connec... | 0.640973 | 0.161122 |
import numpy as np
import matplotlib.pyplot as plt
from collections import defaultdict
import json, os
import datetime as dt
def extract_occupations_per_bay(data: dict):
form = data['date_format']
gates = []
for k1, v1 in data['bays'].items():
for k2, v2 in v1.items():
gates.append(f'{... | src/graphics.py | import numpy as np
import matplotlib.pyplot as plt
from collections import defaultdict
import json, os
import datetime as dt
def extract_occupations_per_bay(data: dict):
form = data['date_format']
gates = []
for k1, v1 in data['bays'].items():
for k2, v2 in v1.items():
gates.append(f'{... | 0.36727 | 0.51623 |
from datetime import datetime, timedelta, date
class Slot:
def __init__(self, time):
self.time = time
self.DURATION = 10
self.energy = None
self.act = None
def put_energy(self, energy):
self.energy = energy
def put_act(self, act):
self.act = act
class Sl... | src/Slots.py | from datetime import datetime, timedelta, date
class Slot:
def __init__(self, time):
self.time = time
self.DURATION = 10
self.energy = None
self.act = None
def put_energy(self, energy):
self.energy = energy
def put_act(self, act):
self.act = act
class Sl... | 0.670716 | 0.27795 |
import os
import subprocess
import sys
from pathlib import Path
base_path = Path(__file__).resolve().parent.parent
def check_call(args):
print("+", *args)
subprocess.check_call(args)
def exec_in_env():
env_path = base_path.joinpath(".tox", "bootstrap")
if sys.platform == "win32":
bin_path ... | ci/bootstrap.py |
import os
import subprocess
import sys
from pathlib import Path
base_path = Path(__file__).resolve().parent.parent
def check_call(args):
print("+", *args)
subprocess.check_call(args)
def exec_in_env():
env_path = base_path.joinpath(".tox", "bootstrap")
if sys.platform == "win32":
bin_path ... | 0.240329 | 0.10885 |
import math
SIN = math.sin
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib.widgets import Button
def adjust_extent(extent):
return [extent[0]+0.5, extent[1]+0.5, extent[3], extent[2]]
def inbound(pos):
if (0 <= pos[0] <= 200) and (0 <= pos[1] <= 200... | Examples/Gundam Interactive Animation/gundam_ms08.py |
import math
SIN = math.sin
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib.widgets import Button
def adjust_extent(extent):
return [extent[0]+0.5, extent[1]+0.5, extent[3], extent[2]]
def inbound(pos):
if (0 <= pos[0] <= 200) and (0 <= pos[1] <= 200... | 0.303938 | 0.274547 |
import requests
import pprint
import json
import time
def track_indexes(track_out, authorizer, verbose):
href = track_out['href']
track_ids = [''] * track_out['total']
#track_ids = []
index = 0
while href is not None:
headers = {"Accept":"application/json", "Content-Type":"application/jso... | track.py | import requests
import pprint
import json
import time
def track_indexes(track_out, authorizer, verbose):
href = track_out['href']
track_ids = [''] * track_out['total']
#track_ids = []
index = 0
while href is not None:
headers = {"Accept":"application/json", "Content-Type":"application/jso... | 0.305697 | 0.151278 |
import itertools
import operator
def create_neighbour(solution, rstate):
''' Apply a local search operator to create a neighbour. '''
ind = rstate.randint(0, len(solution) - 1)
return tuple(
1 - elem if i == ind else elem
for i, elem in enumerate(solution))
def select_tournament(results,... | search-algorithms/search_algorithms/common.py | import itertools
import operator
def create_neighbour(solution, rstate):
''' Apply a local search operator to create a neighbour. '''
ind = rstate.randint(0, len(solution) - 1)
return tuple(
1 - elem if i == ind else elem
for i, elem in enumerate(solution))
def select_tournament(results,... | 0.501221 | 0.383006 |
import warnings
import requests
from requests.exceptions import ReadTimeout
import copy
import logging
from .apiclient import BaseApiClient, DEFAULT_AUTH, DEFAULT_TIMEOUT, \
DEFAULT_RETRIES
from . import RAW_API_URL
from .dotindex import dot_index
from .datamodel import Entity, \
Reference, \
Event, \
... | rfapi/rawapiclient.py | import warnings
import requests
from requests.exceptions import ReadTimeout
import copy
import logging
from .apiclient import BaseApiClient, DEFAULT_AUTH, DEFAULT_TIMEOUT, \
DEFAULT_RETRIES
from . import RAW_API_URL
from .dotindex import dot_index
from .datamodel import Entity, \
Reference, \
Event, \
... | 0.689201 | 0.133302 |
from django.db.models import Max
from django.db.transaction import atomic
from django.urls import reverse
from django.utils.translation import gettext
from . import input_validators
from . import models
from . import row_transforms
from . import table_creation
from permissions import daos as permissions_daos
@atomic
... | datastore/daos.py | from django.db.models import Max
from django.db.transaction import atomic
from django.urls import reverse
from django.utils.translation import gettext
from . import input_validators
from . import models
from . import row_transforms
from . import table_creation
from permissions import daos as permissions_daos
@atomic
... | 0.646237 | 0.199055 |
from abc import ABC, abstractmethod
from parking_lot import FourWheelerParkingLotBuilder, ParkingLotDirector
from parking_lot.parking_lot import FourWheelerParkingLot
from parking_lot.vehicle import Car
class FourWheelerParkingLotCommand(ABC):
_parking_lot = None
def __init__(self):
self._parking_lo... | parking_lot/parking_lot_command.py | from abc import ABC, abstractmethod
from parking_lot import FourWheelerParkingLotBuilder, ParkingLotDirector
from parking_lot.parking_lot import FourWheelerParkingLot
from parking_lot.vehicle import Car
class FourWheelerParkingLotCommand(ABC):
_parking_lot = None
def __init__(self):
self._parking_lo... | 0.840161 | 0.225672 |
import os
import re
import sys
from sys import argv
from lif import LIF, Annotation, View, Container
def generate_lif(txt, vnc):
"""
* txt is a plain text file only with the original text value.
* vnc (verbnetclass) is a output from clearwsd file (mostly in conll format)
This function will generate a ... | scripts/dtriac-534/vnc_to_lif.py | import os
import re
import sys
from sys import argv
from lif import LIF, Annotation, View, Container
def generate_lif(txt, vnc):
"""
* txt is a plain text file only with the original text value.
* vnc (verbnetclass) is a output from clearwsd file (mostly in conll format)
This function will generate a ... | 0.287768 | 0.151906 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class Skipgram(nn.Module):
"""Pytorch implementation of the skipgram with negative
sampling as in Mikolov et al. [5]_
Based on the inputs it can be used as the skipgram described in the original Word2Vec paper [5]_ , or a... | geometric2dr/embedding_methods/skipgram.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class Skipgram(nn.Module):
"""Pytorch implementation of the skipgram with negative
sampling as in Mikolov et al. [5]_
Based on the inputs it can be used as the skipgram described in the original Word2Vec paper [5]_ , or a... | 0.946442 | 0.652363 |
import re
from hovor.outcome_determiners.spel_evaluator import SpelEvaluator
from hovor.runtime.fields_container import FieldsContainer
class AssignEntityEffect(object):
def __init__(self, entity, value_config):
if entity.startswith("$"):
raise ValueError("entity should not be an expression")... | hovor/effects/assign_entity_effect.py | import re
from hovor.outcome_determiners.spel_evaluator import SpelEvaluator
from hovor.runtime.fields_container import FieldsContainer
class AssignEntityEffect(object):
def __init__(self, entity, value_config):
if entity.startswith("$"):
raise ValueError("entity should not be an expression")... | 0.341034 | 0.185892 |
from oauth2client.client import OAuth2WebServerFlow
import httplib2
import json
class Oauth2Client(object):
"""client for interacting with google oauth 2,
as google openid connect is supported under oauth2"""
def __init__(self, settings, logger, HTTP_PROXY=None):
self.logger = logger
self... | fence/resources/openid/google_oauth2.py | from oauth2client.client import OAuth2WebServerFlow
import httplib2
import json
class Oauth2Client(object):
"""client for interacting with google oauth 2,
as google openid connect is supported under oauth2"""
def __init__(self, settings, logger, HTTP_PROXY=None):
self.logger = logger
self... | 0.249905 | 0.074231 |
import os
feature_type = ["Fireplaces", "Hardwood_Floors", "Kitchen_Islands", "Skylights", "ADE20K_tagged"]
room_type = ["living_room", "kitchen", "bedroom", "bathroom"]
# Iterate over images collected for each feature type
tag_list = {}
for feature in feature_type:
for room in room_type:
ann_directory =... | main/process_google_jsons.py | import os
feature_type = ["Fireplaces", "Hardwood_Floors", "Kitchen_Islands", "Skylights", "ADE20K_tagged"]
room_type = ["living_room", "kitchen", "bedroom", "bathroom"]
# Iterate over images collected for each feature type
tag_list = {}
for feature in feature_type:
for room in room_type:
ann_directory =... | 0.232571 | 0.284543 |
BUNDLE_NAME = "cisco_ios_xe"
CAPABILITIES = {
"ATM-FORUM-TC-MIB": "",
"ATM-MIB": "1998-10-19",
"ATM-TC-MIB": "1998-10-19",
"BGP4-MIB": "1994-05-05",
"BRIDGE-MIB": "2005-09-19",
"CISCO-AAA-SERVER-MIB": "2003-11-17",
"CISCO-AAA-SESSION-MIB": "2006-03-21",
"CISCO-AAL5-MIB": "2003-09-22",
... | cisco-ios-xe/ydk/models/cisco_ios_xe/_yang_ns.py | BUNDLE_NAME = "cisco_ios_xe"
CAPABILITIES = {
"ATM-FORUM-TC-MIB": "",
"ATM-MIB": "1998-10-19",
"ATM-TC-MIB": "1998-10-19",
"BGP4-MIB": "1994-05-05",
"BRIDGE-MIB": "2005-09-19",
"CISCO-AAA-SERVER-MIB": "2003-11-17",
"CISCO-AAA-SESSION-MIB": "2006-03-21",
"CISCO-AAL5-MIB": "2003-09-22",
... | 0.225161 | 0.25374 |
import numpy as np
import struct
__all__ = ['signa', 'ge_rf_params', 'philips_rf_params']
def signa(wav, filename, scale=-1):
"""Write a binary waveform in the GE format.
Args:
wav (array): waveform (gradient or RF), may be complex-valued.
filename (string): filename to write to.
sca... | sigpy/mri/rf/io.py | import numpy as np
import struct
__all__ = ['signa', 'ge_rf_params', 'philips_rf_params']
def signa(wav, filename, scale=-1):
"""Write a binary waveform in the GE format.
Args:
wav (array): waveform (gradient or RF), may be complex-valued.
filename (string): filename to write to.
sca... | 0.684475 | 0.460046 |
import os
import re
import datetime
import numpy as np
def format(readwrite, filename, duration):
"""Return standardized I/O timing message string for logging
Args:
readwrite (str): either "read" or "write"
filename (str): filename that was read or written
duration (float): time in sec... | py/desispec/io/iotime.py | import os
import re
import datetime
import numpy as np
def format(readwrite, filename, duration):
"""Return standardized I/O timing message string for logging
Args:
readwrite (str): either "read" or "write"
filename (str): filename that was read or written
duration (float): time in sec... | 0.821188 | 0.45744 |
from selenium import webdriver
class WebTable:
def __init__(self, webtable):
self.table = webtable
def get_row_count(self):
return len(self.table.find_elements_by_tag_name("tr")) - 1
def get_column_count(self):
return len(self.table.find_elements_by_xpath("//tr[2]/td"))
def get_... | Version 1.0/Result Fetcher 1.0/WebTable.py | from selenium import webdriver
class WebTable:
def __init__(self, webtable):
self.table = webtable
def get_row_count(self):
return len(self.table.find_elements_by_tag_name("tr")) - 1
def get_column_count(self):
return len(self.table.find_elements_by_xpath("//tr[2]/td"))
def get_... | 0.441553 | 0.286762 |
from flask import render_template, flash, redirect, session, url_for, request, g, make_response, jsonify
from app.auth import constants as USER
from app.posts.models import Post, Comment
from app.posts.forms import PostForm
from app import app, db
import sys, datetime
@app.route('/posts')
def posts():
auth = ... | site/app/posts/controllers.py | from flask import render_template, flash, redirect, session, url_for, request, g, make_response, jsonify
from app.auth import constants as USER
from app.posts.models import Post, Comment
from app.posts.forms import PostForm
from app import app, db
import sys, datetime
@app.route('/posts')
def posts():
auth = ... | 0.181517 | 0.060836 |
## This is not complete. Only here as reference.
import xml.etree.ElementTree as et
import textwrap
dirname = 'build/doxygen/xml/'
def unescape(txt):
return txt.replace('<','<').replace('>','>').replace('&','&').replace('"','"').replace(''','\'')
def descr2md(xml):
txt = ''
for t in... | tools/doxy2doc.py |
## This is not complete. Only here as reference.
import xml.etree.ElementTree as et
import textwrap
dirname = 'build/doxygen/xml/'
def unescape(txt):
return txt.replace('<','<').replace('>','>').replace('&','&').replace('"','"').replace(''','\'')
def descr2md(xml):
txt = ''
for t in... | 0.170439 | 0.052985 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
def plotDGM(dgm, color = 'b', sz = 20, label = 'dgm', axcolor = np.array([0.0, 0.0, 0.0]), marker = None):
if dgm.size == 0:
return
# Create Lists
# set axis values
axMin = np.min(dgm)
axMax = np.max(d... | TDAPlotting.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
def plotDGM(dgm, color = 'b', sz = 20, label = 'dgm', axcolor = np.array([0.0, 0.0, 0.0]), marker = None):
if dgm.size == 0:
return
# Create Lists
# set axis values
axMin = np.min(dgm)
axMax = np.max(d... | 0.483161 | 0.671612 |
from unittest import skip
from bxcommon import constants
from bxcommon.messages.bloxroute.ack_message import AckMessage
from bxcommon.messages.bloxroute.bdn_performance_stats_message import BdnPerformanceStatsMessage
from bxcommon.messages.bloxroute.block_confirmation_message import BlockConfirmationMessage
from bxcom... | test/unit/messages/bloxroute/test_bloxroute_version_manager_v7.py | from unittest import skip
from bxcommon import constants
from bxcommon.messages.bloxroute.ack_message import AckMessage
from bxcommon.messages.bloxroute.bdn_performance_stats_message import BdnPerformanceStatsMessage
from bxcommon.messages.bloxroute.block_confirmation_message import BlockConfirmationMessage
from bxcom... | 0.522202 | 0.112016 |
from trainer import Trainer
from argparse import ArgumentParser
import torch
import yaml
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '2'
import warnings
warnings.filterwarnings("ignore")
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('-config', '-c', default='config.yaml')
p... | code/main.py | from trainer import Trainer
from argparse import ArgumentParser
import torch
import yaml
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '2'
import warnings
warnings.filterwarnings("ignore")
if __name__ == '__main__':
parser = ArgumentParser()
parser.add_argument('-config', '-c', default='config.yaml')
p... | 0.5794 | 0.045121 |
import time
import os
class PacketType:
ADD = 0
MULT = 1
MIN = 2
MAX = 3
VALUE = 4
GREATER = 5
LESS = 6
EQUAL = 7
class Packet:
def __init__(self, version: int, _type: int):
self.version = version
self.type = _type
def __str__(self):
return f"Version:... | python/year2021/day16.py | import time
import os
class PacketType:
ADD = 0
MULT = 1
MIN = 2
MAX = 3
VALUE = 4
GREATER = 5
LESS = 6
EQUAL = 7
class Packet:
def __init__(self, version: int, _type: int):
self.version = version
self.type = _type
def __str__(self):
return f"Version:... | 0.409103 | 0.266037 |
import cv2
import matplotlib.pyplot as plt
import numpy as np
import os
import shutil
import pickle
import sys
from heapq import nlargest
from IPython.display import HTML, Video
from PIL import Image
from skvideo.io import FFmpegWriter
from torchvision import datasets, models, transforms
sys.path.append('../../tpc-back... | vis/single_video_uncertainty/generate_uncertainty.py | import cv2
import matplotlib.pyplot as plt
import numpy as np
import os
import shutil
import pickle
import sys
from heapq import nlargest
from IPython.display import HTML, Video
from PIL import Image
from skvideo.io import FFmpegWriter
from torchvision import datasets, models, transforms
sys.path.append('../../tpc-back... | 0.337204 | 0.112356 |
import numpy as np
import os
import re
import sys
import cv2
import tkinter
from tkinter import *
from tkinter import ttk
import tkinter.filedialog
from PIL import Image, ImageTk
def import_yuv():
# ファイル選択ダイアログの表示
file_path = tkinter.filedialog.askopenfilename()
if len(file_path) != 0:
... | v0.1.0.0/yuvobserver_gui.py | import numpy as np
import os
import re
import sys
import cv2
import tkinter
from tkinter import *
from tkinter import ttk
import tkinter.filedialog
from PIL import Image, ImageTk
def import_yuv():
# ファイル選択ダイアログの表示
file_path = tkinter.filedialog.askopenfilename()
if len(file_path) != 0:
... | 0.1273 | 0.111483 |
import csv
import pickle
import time
import numpy as np
import requests
GITHUB_API_TOKEN = "<PASSWORD>" # GitHub API TOKEN (PRIVATE!!!)
TARGET = 'data/replica/replica_dataset.csv'
EXPORT = 'results/ciclassifier.csv'
MODEL_PATH = '../../models/classifier_configuration.sav'
NOT_RESOLVABLE = 'data/not_resolvable.csv'
... | evaluations/replication_study/extract_replica_study.py | import csv
import pickle
import time
import numpy as np
import requests
GITHUB_API_TOKEN = "<PASSWORD>" # GitHub API TOKEN (PRIVATE!!!)
TARGET = 'data/replica/replica_dataset.csv'
EXPORT = 'results/ciclassifier.csv'
MODEL_PATH = '../../models/classifier_configuration.sav'
NOT_RESOLVABLE = 'data/not_resolvable.csv'
... | 0.220007 | 0.114047 |
import torch
import pyro
from pyro.infer.util import torch_item
class OED:
def __init__(self, model, optim, loss, **kwargs):
self.model = model
self.optim = optim
self.loss = loss
super().__init__(**kwargs)
if not isinstance(optim, pyro.optim.PyroOptim):
raise... | oed/design.py | import torch
import pyro
from pyro.infer.util import torch_item
class OED:
def __init__(self, model, optim, loss, **kwargs):
self.model = model
self.optim = optim
self.loss = loss
super().__init__(**kwargs)
if not isinstance(optim, pyro.optim.PyroOptim):
raise... | 0.932068 | 0.415254 |
import os
import json
from flask import Flask, render_template, jsonify, request, redirect, url_for
from database import (get_pubs, get_pol, get_breweries, get_nearby_db,
get_feature, get_kommune_stats, db_save_brewery)
import requests
app = Flask(__name__)
pages = [
{'endpoint': 'nearby', ... | beermap/__init__.py | import os
import json
from flask import Flask, render_template, jsonify, request, redirect, url_for
from database import (get_pubs, get_pol, get_breweries, get_nearby_db,
get_feature, get_kommune_stats, db_save_brewery)
import requests
app = Flask(__name__)
pages = [
{'endpoint': 'nearby', ... | 0.373419 | 0.076236 |
import logging
import sys
import inspect
import copy
from simplefempy.settings import LIB_SETTINGS, TK_INSTANCE
class SimpleFemPyError(Exception):
pass
# ---- ** ----
# From: https://stackoverflow.com/questions/384076/how-can-i-color-python-logging-output
K, R, G, Y, B, M, C, W = range(8)
# These are the sequen... | simplefempy/utils/logger.py | import logging
import sys
import inspect
import copy
from simplefempy.settings import LIB_SETTINGS, TK_INSTANCE
class SimpleFemPyError(Exception):
pass
# ---- ** ----
# From: https://stackoverflow.com/questions/384076/how-can-i-color-python-logging-output
K, R, G, Y, B, M, C, W = range(8)
# These are the sequen... | 0.557845 | 0.201224 |
import os, re
from qtconsole.qt import QtGui
from .persistent import Persistent
__author__ = '<NAME> <<EMAIL>>'
class FileChooser(QtGui.QFileDialog):
_default_dir = '' # default directory
_dir = None # Persistent directory
_default_name = '' # default file name
_name = None # Persistent file name... | chconsole/storage/file_chooser.py | import os, re
from qtconsole.qt import QtGui
from .persistent import Persistent
__author__ = '<NAME> <<EMAIL>>'
class FileChooser(QtGui.QFileDialog):
_default_dir = '' # default directory
_dir = None # Persistent directory
_default_name = '' # default file name
_name = None # Persistent file name... | 0.432303 | 0.045543 |
from tscc.model.updatestate import updatestate
def computecoefficients(stateObst, stateRobo, radiusObst, radiusRobo, deltaT):
''' Compute collision cone constraint coefficients '''
clearanceR = 0.0
R = radiusObst + radiusRobo + clearanceR
# unrolling state and control data of robot and obstacle
x... | src/tscc/optimization/computeconstraints.py | from tscc.model.updatestate import updatestate
def computecoefficients(stateObst, stateRobo, radiusObst, radiusRobo, deltaT):
''' Compute collision cone constraint coefficients '''
clearanceR = 0.0
R = radiusObst + radiusRobo + clearanceR
# unrolling state and control data of robot and obstacle
x... | 0.742888 | 0.369486 |
import argparse
import csv
import sys
from dmapiclient import DataAPIClient
sys.path.insert(0, '.')
from dmscripts.helpers import logging_helpers
from dmscripts.helpers.auth_helpers import get_auth_token
from dmutils.env_helpers import get_api_endpoint_from_stage
if __name__ == "__main__":
logger = logging_help... | scripts/generate-successful-suppliers-for-framework-csv.py | import argparse
import csv
import sys
from dmapiclient import DataAPIClient
sys.path.insert(0, '.')
from dmscripts.helpers import logging_helpers
from dmscripts.helpers.auth_helpers import get_auth_token
from dmutils.env_helpers import get_api_endpoint_from_stage
if __name__ == "__main__":
logger = logging_help... | 0.208098 | 0.112405 |
import requests
import datetime
import os
from pyquery import PyQuery as pq
import argparse
import datetime
import json
def getUserNameFromId(userId):
url = f'https://www.nicovideo.jp/user/{str(userId)}'
dom = pq(url)
result = dom('head').find(
'meta[property="profile:username"]').attr['content']
... | src/main.py | import requests
import datetime
import os
from pyquery import PyQuery as pq
import argparse
import datetime
import json
def getUserNameFromId(userId):
url = f'https://www.nicovideo.jp/user/{str(userId)}'
dom = pq(url)
result = dom('head').find(
'meta[property="profile:username"]').attr['content']
... | 0.269614 | 0.101902 |
import sys
import os
import site
if '--test' in sys.argv:
print("No unit tests")
#unittest.main(argv=[sys.argv[0]])
sys.exit(0)
base_path = os.path.abspath(
os.path.dirname(os.path.dirname(os.path.dirname(
os.path.realpath(__file__)))
)
... | src/rna/steps/realign_reads_delegate.py | import sys
import os
import site
if '--test' in sys.argv:
print("No unit tests")
#unittest.main(argv=[sys.argv[0]])
sys.exit(0)
base_path = os.path.abspath(
os.path.dirname(os.path.dirname(os.path.dirname(
os.path.realpath(__file__)))
)
... | 0.346652 | 0.180431 |
from alembic import context, op
import sqlalchemy as sa
from rucio.db.sqla.constants import ReplicaState, DIDType
from rucio.db.sqla.types import GUID
# revision identifiers, used by Alembic.
revision = '45378a1e76a8'
down_revision = 'a93e4e47bda'
def upgrade():
op.create_table('collection_replicas',
... | lib/rucio/db/sqla/migrate_repo/versions/45378a1e76a8_create_collection_replica_table.py | from alembic import context, op
import sqlalchemy as sa
from rucio.db.sqla.constants import ReplicaState, DIDType
from rucio.db.sqla.types import GUID
# revision identifiers, used by Alembic.
revision = '45378a1e76a8'
down_revision = 'a93e4e47bda'
def upgrade():
op.create_table('collection_replicas',
... | 0.311846 | 0.070176 |
import os
import sys
import xml.etree.ElementTree as ET
from pyquest.script_engine import Script, ScriptEngine, QuestValue
from pyquest.world_model import QuestObject
__author__ = "<NAME>"
__copyright__ = """Copyright 2018 <NAME>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this fi... | src/pyquest/game.py | import os
import sys
import xml.etree.ElementTree as ET
from pyquest.script_engine import Script, ScriptEngine, QuestValue
from pyquest.world_model import QuestObject
__author__ = "<NAME>"
__copyright__ = """Copyright 2018 <NAME>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this fi... | 0.279435 | 0.130673 |
from datetime import datetime, timedelta
import zeep
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from drf_yasg.utils import swagger_auto_schema
from requests import Session
from requests.auth import HTTPBasicAuth
from rest_framework import viewsets
from res... | soap_client/views.py | from datetime import datetime, timedelta
import zeep
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from drf_yasg.utils import swagger_auto_schema
from requests import Session
from requests.auth import HTTPBasicAuth
from rest_framework import viewsets
from res... | 0.435181 | 0.089296 |
import pickle, random, string, copy
from typing import List
from trend_analyze.config import *
from trend_analyze.src.model import *
from trend_analyze.src.controller import Controller
from trend_analyze.src.fetch_data import TwitterFetcher
from trend_analyze.src.fetch_data_from_api import ApiTwitterFetcher
USERS_SAM... | trend_analyze/test/create_sample.py | import pickle, random, string, copy
from typing import List
from trend_analyze.config import *
from trend_analyze.src.model import *
from trend_analyze.src.controller import Controller
from trend_analyze.src.fetch_data import TwitterFetcher
from trend_analyze.src.fetch_data_from_api import ApiTwitterFetcher
USERS_SAM... | 0.532668 | 0.213664 |
from collections import deque
import random
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
from tensorflow import keras, function
import numpy as np
import pickle
@function
def fast_predict(x, model) -> float:
return model(x, training=False)
def create_piece_dict() -> dict:
piece_encoder = {
"p"... | chessbot_utils.py | from collections import deque
import random
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
from tensorflow import keras, function
import numpy as np
import pickle
@function
def fast_predict(x, model) -> float:
return model(x, training=False)
def create_piece_dict() -> dict:
piece_encoder = {
"p"... | 0.281702 | 0.328624 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
# 계속 같은 결과가 나오기 위해, 랜덤 시드를 고정한다.
torch.manual_seed(1)
# 변수 선언
x_train = torch.FloatTensor([[1], [2], [3]])
y_train = torch.FloatTensor([[2], [4], [6]])
# 가중치와 편향의 초기화
'''
선형 회귀는 학습 데이터와 가장 잘 맞는 하나의 직선을 찾는 것이다.
그리고 가장 잘 맞... | src/wikidocs/2_linear_regression/linear_regression.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
# 계속 같은 결과가 나오기 위해, 랜덤 시드를 고정한다.
torch.manual_seed(1)
# 변수 선언
x_train = torch.FloatTensor([[1], [2], [3]])
y_train = torch.FloatTensor([[2], [4], [6]])
# 가중치와 편향의 초기화
'''
선형 회귀는 학습 데이터와 가장 잘 맞는 하나의 직선을 찾는 것이다.
그리고 가장 잘 맞... | 0.550607 | 0.830491 |
from datetime import datetime
import numpy as np
import pandas as pd
import re
import os
import progressbar
from sklearn.preprocessing import LabelBinarizer, MultiLabelBinarizer
def update_column_name(dataframe,
old_column_name,
new_column_name):
""" Updates a Pandas ... | clean_data.py | from datetime import datetime
import numpy as np
import pandas as pd
import re
import os
import progressbar
from sklearn.preprocessing import LabelBinarizer, MultiLabelBinarizer
def update_column_name(dataframe,
old_column_name,
new_column_name):
""" Updates a Pandas ... | 0.710528 | 0.432962 |
from forumsentry.api import Api
from requests.exceptions import HTTPError
from forumsentry.errors import ForumHTTPError
import json
import jmespath
class KeyPairsApi(Api):
'''
Api for working with KeyPairs
'''
path = "policies/keyPairs"
policy_type = "KeyPairs"
imp... | forumsentry/key_pairs_api.py | from forumsentry.api import Api
from requests.exceptions import HTTPError
from forumsentry.errors import ForumHTTPError
import json
import jmespath
class KeyPairsApi(Api):
'''
Api for working with KeyPairs
'''
path = "policies/keyPairs"
policy_type = "KeyPairs"
imp... | 0.261237 | 0.101857 |
from bsddb.db import *
import logging
import sys
from wallet import rewrite_wallet, trim_wallet
from util import determine_db_dir, create_env
def main():
import optparse
parser = optparse.OptionParser(usage="%prog [options]")
parser.add_option("--datadir", dest="datadir", default=None,
help=... | fixwallet.py | from bsddb.db import *
import logging
import sys
from wallet import rewrite_wallet, trim_wallet
from util import determine_db_dir, create_env
def main():
import optparse
parser = optparse.OptionParser(usage="%prog [options]")
parser.add_option("--datadir", dest="datadir", default=None,
help=... | 0.275325 | 0.110856 |
import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from osgeo import ogr
from ..generic.handler_im import bilinear_interpolation
from ..generic.mapping_tools import vel2pix
from ..generic.test_tools import construct_correlation_peak
from ..generic.gis_tools import polylines2shapefile
... | dhdt/presentation/velocity_tools.py | import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from osgeo import ogr
from ..generic.handler_im import bilinear_interpolation
from ..generic.mapping_tools import vel2pix
from ..generic.test_tools import construct_correlation_peak
from ..generic.gis_tools import polylines2shapefile
... | 0.607314 | 0.377369 |
import streamlit as st
import math
def predict_pad():
st.write("Enter Input size as N*N")
n= st.slider('N',min_value=0,max_value=1080)
st.write("Enter the filter size as F*F")
f= st.slider('F',min_value=0,max_value=1080)
st.write("No. of Filters to be applied ")
nf=st.slider('Nf',m... | convoluizer.py | import streamlit as st
import math
def predict_pad():
st.write("Enter Input size as N*N")
n= st.slider('N',min_value=0,max_value=1080)
st.write("Enter the filter size as F*F")
f= st.slider('F',min_value=0,max_value=1080)
st.write("No. of Filters to be applied ")
nf=st.slider('Nf',m... | 0.288168 | 0.130895 |
import ctypes
import win32con
from icom_ctrl_msg_id import *
user32 = ctypes.windll.user32
#FindWindow = user32.FindWindowW
#BringWindowToTop = user32.BringWindowToTop
#IsWindowVisible = user32.IsWindowVisible
#IsIconic = user32.IsIconic
#SetForegroundWindow = user32.SetForegroundWindow
#ShowWindow = user32.... | icom_win_msg.py | import ctypes
import win32con
from icom_ctrl_msg_id import *
user32 = ctypes.windll.user32
#FindWindow = user32.FindWindowW
#BringWindowToTop = user32.BringWindowToTop
#IsWindowVisible = user32.IsWindowVisible
#IsIconic = user32.IsIconic
#SetForegroundWindow = user32.SetForegroundWindow
#ShowWindow = user32.... | 0.045649 | 0.034848 |
from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
int_or_none,
unified_strdate,
)
class ClipfishIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?clipfish\.de/(?:[^/]+/)+video/(?P<id>[0-9]+)'
_TEST = {
'url': 'http://www.clipfish.de/special/ugl... | youtube_dl/extractor/clipfish.py | from __future__ import unicode_literals
from .common import InfoExtractor
from ..utils import (
int_or_none,
unified_strdate,
)
class ClipfishIE(InfoExtractor):
_VALID_URL = r'https?://(?:www\.)?clipfish\.de/(?:[^/]+/)+video/(?P<id>[0-9]+)'
_TEST = {
'url': 'http://www.clipfish.de/special/ugl... | 0.432303 | 0.091342 |
from __future__ import absolute_import
from __future__ import unicode_literals
from datetime import datetime, timedelta
from django.test import TestCase
from corehq.apps.app_manager.models import Application, LinkedApplication
from corehq.apps.app_manager.tests.util import delete_all_apps
from corehq.apps.domain.model... | corehq/warehouse/tests/test_dbaccessors.py | from __future__ import absolute_import
from __future__ import unicode_literals
from datetime import datetime, timedelta
from django.test import TestCase
from corehq.apps.app_manager.models import Application, LinkedApplication
from corehq.apps.app_manager.tests.util import delete_all_apps
from corehq.apps.domain.model... | 0.628749 | 0.079068 |
from __future__ import print_function, division
import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
from .vampnet import VampnetTools
from .utils import batch_pdist_pbc
def plot_timescales(predictions, lags, n_splits,
split_axis=0, time_unit_in_ns=1.):
"""
Plot ... | gdynet/postprocess.py | from __future__ import print_function, division
import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
from .vampnet import VampnetTools
from .utils import batch_pdist_pbc
def plot_timescales(predictions, lags, n_splits,
split_axis=0, time_unit_in_ns=1.):
"""
Plot ... | 0.883066 | 0.643273 |
import os
from itertools import zip_longest
from pathlib import Path
from gopro_overlay import geo
from gopro_overlay.dimensions import Dimension
from gopro_overlay.ffmpeg import MetaMeta
from gopro_overlay.font import load_font
from gopro_overlay.framemeta import framemeta_from_datafile
from gopro_overlay.geo import ... | build-scripts/generate-map-examples.py | import os
from itertools import zip_longest
from pathlib import Path
from gopro_overlay import geo
from gopro_overlay.dimensions import Dimension
from gopro_overlay.ffmpeg import MetaMeta
from gopro_overlay.font import load_font
from gopro_overlay.framemeta import framemeta_from_datafile
from gopro_overlay.geo import ... | 0.423458 | 0.129678 |
import os
import yaml
import requests
from magpye import GeoMap
def gallery(method, data, style, background):
fname = "gallery/styles/{}.py".format(style)
name = os.path.basename(data)
script = '''
"""
{style}
==================
| style = "{style}"
.. image:: /_static/styles/{style}.png
:widt... | docs/generate-gallery-styles.py |
import os
import yaml
import requests
from magpye import GeoMap
def gallery(method, data, style, background):
fname = "gallery/styles/{}.py".format(style)
name = os.path.basename(data)
script = '''
"""
{style}
==================
| style = "{style}"
.. image:: /_static/styles/{style}.png
:widt... | 0.385606 | 0.320077 |
import json
import traceback
import requests
from cwm_worker_operator import config
from cwm_worker_operator import logs
from cwm_worker_operator import common
from cwm_worker_operator.daemon import Daemon
class SendAlertsThrottle:
def __init__(self, send_alert_callback):
self.send_alert = send_alert_c... | cwm_worker_operator/alerter.py | import json
import traceback
import requests
from cwm_worker_operator import config
from cwm_worker_operator import logs
from cwm_worker_operator import common
from cwm_worker_operator.daemon import Daemon
class SendAlertsThrottle:
def __init__(self, send_alert_callback):
self.send_alert = send_alert_c... | 0.198958 | 0.062732 |
"""Failure Defintion Package Data Controller Module."""
from pubsub import pub # pylint: disable=E0401
# Import other RTK modules.
from datamodels import RTKDataController # pylint: disable=E0401
from . import dtmFailureDefinition
class FailureDefinitionDataController(RTKDataController):
"""
Provide an in... | rtk/failure_definition/Controller.py | """Failure Defintion Package Data Controller Module."""
from pubsub import pub # pylint: disable=E0401
# Import other RTK modules.
from datamodels import RTKDataController # pylint: disable=E0401
from . import dtmFailureDefinition
class FailureDefinitionDataController(RTKDataController):
"""
Provide an in... | 0.920919 | 0.230681 |
import re
from collections import defaultdict
from enum import Enum, auto
from typing import Iterable, Tuple, Any, Iterator, Optional, Union, List
from .frame import TableDataFrame
from .proxy import Table
class TableNameNotUniqueInBundleError(LookupError):
"""Raised when trying to access a table from a bundle b... | pdtable/store.py | import re
from collections import defaultdict
from enum import Enum, auto
from typing import Iterable, Tuple, Any, Iterator, Optional, Union, List
from .frame import TableDataFrame
from .proxy import Table
class TableNameNotUniqueInBundleError(LookupError):
"""Raised when trying to access a table from a bundle b... | 0.680879 | 0.312501 |
import pickle
from gcm import *
compute = True
#structures
nmax = 3
mmax = 6
pn = np.zeros(nmax+1)
pn[nmax] += 1
gm = np.zeros(mmax+1)
gm[mmax] += 1
state_meta_1 = get_state_meta(mmax, nmax, gm, pn)
nmax = 4
mmax = 4
pn = np.zeros(nmax+1)
pn[nmax] += 1
gm = np.zeros(mmax+1)
gm[mmax] += 1
state_meta_2 = get_state_met... | figures/Fig5_bif2.py | import pickle
from gcm import *
compute = True
#structures
nmax = 3
mmax = 6
pn = np.zeros(nmax+1)
pn[nmax] += 1
gm = np.zeros(mmax+1)
gm[mmax] += 1
state_meta_1 = get_state_meta(mmax, nmax, gm, pn)
nmax = 4
mmax = 4
pn = np.zeros(nmax+1)
pn[nmax] += 1
gm = np.zeros(mmax+1)
gm[mmax] += 1
state_meta_2 = get_state_met... | 0.290377 | 0.107391 |
RESPONSE_FORM = (
u'Команда выучена.'
u'Теперь на «{}» я буду отвечать «{}»\n\n'
u'Опции:\n' # TODO: more readable output
u'use_regex: {}\n'
u'force_unmark: {}\n'
u'force_forward: {}\n'
u'appeal_only: {}\n'
u'disabled: {}\n'
)
class Plugin(object):
__doc__ = '''Плагин предназначе... | bot/plugins/plugin_learn.py |
RESPONSE_FORM = (
u'Команда выучена.'
u'Теперь на «{}» я буду отвечать «{}»\n\n'
u'Опции:\n' # TODO: more readable output
u'use_regex: {}\n'
u'force_unmark: {}\n'
u'force_forward: {}\n'
u'appeal_only: {}\n'
u'disabled: {}\n'
)
class Plugin(object):
__doc__ = '''Плагин предназначе... | 0.202049 | 0.261357 |
# AZURE CLI SERVICEBUS - CRUD TEST DEFINITIONS
import time
from azure.cli.testsdk import (ScenarioTest, ResourceGroupPreparer, live_only)
from knack.util import CLIError
# pylint: disable=line-too-long
# pylint: disable=too-many-lines
class SBQueueScenarioTest(ScenarioTest):
from azure.cli.testsdk.scenario_te... | src/azure-cli/azure/cli/command_modules/servicebus/tests/latest/test_servicebus_queue_commands.py |
# AZURE CLI SERVICEBUS - CRUD TEST DEFINITIONS
import time
from azure.cli.testsdk import (ScenarioTest, ResourceGroupPreparer, live_only)
from knack.util import CLIError
# pylint: disable=line-too-long
# pylint: disable=too-many-lines
class SBQueueScenarioTest(ScenarioTest):
from azure.cli.testsdk.scenario_te... | 0.50293 | 0.159185 |
import click
import requests
import pandas
from io import StringIO
import re
import os
class CurrencyCode(click.ParamType):
name = 'symbol'
def convert(self, value, param, ctx):
if value.isalpha():
return value.upper()
self.fail('%s is not a valid symbol' % value, param, ctx)
cl... | amirich.py | import click
import requests
import pandas
from io import StringIO
import re
import os
class CurrencyCode(click.ParamType):
name = 'symbol'
def convert(self, value, param, ctx):
if value.isalpha():
return value.upper()
self.fail('%s is not a valid symbol' % value, param, ctx)
cl... | 0.480966 | 0.149345 |
from django.core.management.base import NoArgsCommand, CommandError
from questionnaire_admin.utils import copyQuestionnaireForms
from questionnaire_admin.models import GeoformLock,GeoformElementLock
from geoforms.models import Geoform,GeoformElement,Questionnaire,QuestionnaireForm,FormElement
from bs4 import BeautifulS... | geonition/manage_release/management/commands/delete_lost_geoforms.py | from django.core.management.base import NoArgsCommand, CommandError
from questionnaire_admin.utils import copyQuestionnaireForms
from questionnaire_admin.models import GeoformLock,GeoformElementLock
from geoforms.models import Geoform,GeoformElement,Questionnaire,QuestionnaireForm,FormElement
from bs4 import BeautifulS... | 0.317003 | 0.082475 |
import os
import json
import val_ki_functions as VAL
import mod_utilities as MU
from prettytable import PrettyTable
MODULES = r"/usr/local/edge-modules/azure-stack-hub"
SCHEMAS = r"/usr/local/edge-modules/models/schemas"
def repo_logic(indict):
'''Insert the logic to process the return from the function.'''
... | scripts/val_ki_dockeraction.py | import os
import json
import val_ki_functions as VAL
import mod_utilities as MU
from prettytable import PrettyTable
MODULES = r"/usr/local/edge-modules/azure-stack-hub"
SCHEMAS = r"/usr/local/edge-modules/models/schemas"
def repo_logic(indict):
'''Insert the logic to process the return from the function.'''
... | 0.134094 | 0.079854 |
from django.db import models
from django.contrib.auth.models import User
class Resident(models.Model):
first_name=models.CharField(max_length=35)
last_name=models.CharField(max_length=35)
date_of_birth = models.DateField()
medicaid_number = models.CharField(max_length=8, blank=True, null=True)
... | schedule/models.py | from django.db import models
from django.contrib.auth.models import User
class Resident(models.Model):
first_name=models.CharField(max_length=35)
last_name=models.CharField(max_length=35)
date_of_birth = models.DateField()
medicaid_number = models.CharField(max_length=8, blank=True, null=True)
... | 0.441071 | 0.17575 |
from openpyxl import load_workbook
from openpyxl.styles import PatternFill
from pyecharts.charts import Bar, Pie
from pyecharts import options as opts
from pyecharts.options import InitOpts, TitleOpts, ToolboxOpts
from pyecharts.globals import ThemeType
import sys
WARNING_STRING = """
-> 请确保请假考勤按以下格式填写，如：
-> 事假: 事8
->... | ManHourCollect.py | from openpyxl import load_workbook
from openpyxl.styles import PatternFill
from pyecharts.charts import Bar, Pie
from pyecharts import options as opts
from pyecharts.options import InitOpts, TitleOpts, ToolboxOpts
from pyecharts.globals import ThemeType
import sys
WARNING_STRING = """
-> 请确保请假考勤按以下格式填写，如：
-> 事假: 事8
->... | 0.130535 | 0.196325 |
import torch
from torch import nn
import torch.nn.functional as F
from .blip import create_vit, init_tokenizer, load_checkpoint
from .med import BertConfig, BertModel
class BLIP_ITM(nn.Module):
def __init__(self,
med_config='configs/med_config.json',
image_size=384,
... | experiments/explainx/BLIP/models/blip_itm.py | import torch
from torch import nn
import torch.nn.functional as F
from .blip import create_vit, init_tokenizer, load_checkpoint
from .med import BertConfig, BertModel
class BLIP_ITM(nn.Module):
def __init__(self,
med_config='configs/med_config.json',
image_size=384,
... | 0.942573 | 0.229276 |