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 os
from django import forms
from django.test import TestCase
from django.core.files.uploadedfile import SimpleUploadedFile
from cassava.fields import CsvFormsetField
class ShoppingListItemForm(forms.Form):
item_code = forms.CharField(max_length=20)
description = forms.CharField(max_length=255)
qu... | cassava/tests/test_forms.py | import os
from django import forms
from django.test import TestCase
from django.core.files.uploadedfile import SimpleUploadedFile
from cassava.fields import CsvFormsetField
class ShoppingListItemForm(forms.Form):
item_code = forms.CharField(max_length=20)
description = forms.CharField(max_length=255)
qu... | 0.343892 | 0.161254 |
import argparse
from multiprocessing import Pool
import requests
from bs4 import BeautifulSoup
import urllib.parse as urlparse
import os, sys, re
import socket
import validators
import time, random
def load_file(file):
''' read file line by line and output a list'''
if os.path.isfile(file):
with open(file) a... | scrabe.py | import argparse
from multiprocessing import Pool
import requests
from bs4 import BeautifulSoup
import urllib.parse as urlparse
import os, sys, re
import socket
import validators
import time, random
def load_file(file):
''' read file line by line and output a list'''
if os.path.isfile(file):
with open(file) a... | 0.140602 | 0.075517 |
from datetime import datetime, timedelta
import dateutil.parser
import json
from json import JSONDecoder
import re
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.bash_operator import BashOperator
from airflow.operators.sensors import ExternalTaskSensor
def da... | dags/utils/functions.py | from datetime import datetime, timedelta
import dateutil.parser
import json
from json import JSONDecoder
import re
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.bash_operator import BashOperator
from airflow.operators.sensors import ExternalTaskSensor
def da... | 0.52829 | 0.186095 |
import enum
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import QTextDocument, QTextDocumentWriter
from PyQt5.QtSql import QSqlDatabase, QSqlQuery
from .recordmodel import RecordModel
class Record():
def __init__(self, recordId, fileName, isSaved):
self.recordId = recordId
... | RecordDatabasePython/recorddatabase/recordmanager.py | import enum
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import QTextDocument, QTextDocumentWriter
from PyQt5.QtSql import QSqlDatabase, QSqlQuery
from .recordmodel import RecordModel
class Record():
def __init__(self, recordId, fileName, isSaved):
self.recordId = recordId
... | 0.290176 | 0.075585 |
import torch.nn as nn
from torch.distributions import Categorical
from ActorCritic import ActorCritic
import torch
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class PPO:
def __init__(self, state_dim, action_dim, n_agents, lr, betas, gamma, K_epochs, eps_clip):
self.lr = lr
... | PPO.py | import torch.nn as nn
from torch.distributions import Categorical
from ActorCritic import ActorCritic
import torch
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
class PPO:
def __init__(self, state_dim, action_dim, n_agents, lr, betas, gamma, K_epochs, eps_clip):
self.lr = lr
... | 0.905475 | 0.509825 |
import logging
import clipl.utility.logger as logger
log = logging.getLogger(__name__)
import hashlib
import ROOT
from math import sqrt, pow
import clipl.analysisbase as analysisbase
import clipl.utility.roottools as roottools
import clipl.analysis_modules.scaleerrors as scaleerrors
class Difference(analysisbase... | clipl/analysis_modules/difference.py |
import logging
import clipl.utility.logger as logger
log = logging.getLogger(__name__)
import hashlib
import ROOT
from math import sqrt, pow
import clipl.analysisbase as analysisbase
import clipl.utility.roottools as roottools
import clipl.analysis_modules.scaleerrors as scaleerrors
class Difference(analysisbase... | 0.516839 | 0.301144 |
import sys
import os
sys.path.insert(0,
os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import bson_dataframe
import numpy
import pyarrow
import unittest
class TestArrayGenerator(bson_dataframe.TypeVisitor):
def __init__(self, n, typ, nullable):
self.nullable = nullable
... | python/tests/test.py | import sys
import os
sys.path.insert(0,
os.path.dirname(os.path.dirname(os.path.realpath(__file__))))
import bson_dataframe
import numpy
import pyarrow
import unittest
class TestArrayGenerator(bson_dataframe.TypeVisitor):
def __init__(self, n, typ, nullable):
self.nullable = nullable
... | 0.265309 | 0.225353 |
import sqlite3
import threading
conn = sqlite3.connect('bot.db', check_same_thread=False, isolation_level=None)
c = conn.cursor()
lock = threading.Lock()
def acquireLock(func):
def wrapper(*args, **kwargs):
try:
lock.acquire(True)
return func(*args, **kwargs)
finally:
... | src/db.py | import sqlite3
import threading
conn = sqlite3.connect('bot.db', check_same_thread=False, isolation_level=None)
c = conn.cursor()
lock = threading.Lock()
def acquireLock(func):
def wrapper(*args, **kwargs):
try:
lock.acquire(True)
return func(*args, **kwargs)
finally:
... | 0.305076 | 0.040999 |
import os
import xarray as xr
from termcolor import cprint
from trace_for_guess.skip import skip
def drop_superfluous_trace_vars(data):
"""Drop all unneeded data variables from a TraCE-21ka xarray dataset."""
return data.drop(["P0", "co2vmr", "gw", "hyai", "date", "date_written",
"dat... | trace_for_guess/aggregate_modern_trace.py |
import os
import xarray as xr
from termcolor import cprint
from trace_for_guess.skip import skip
def drop_superfluous_trace_vars(data):
"""Drop all unneeded data variables from a TraCE-21ka xarray dataset."""
return data.drop(["P0", "co2vmr", "gw", "hyai", "date", "date_written",
"dat... | 0.520496 | 0.422147 |
import pytest
import warnings
import numpy as np
import scipy.signal as signal
from tsfuse.data.synthetic import series, brownian
from tsfuse.transformers.frequency import *
from tsfuse.transformers.statistics import *
@pytest.fixture
def x():
return brownian()
def test_fft_real(x):
result = FFT(attr='real... | tests/transformers/test_frequency.py | import pytest
import warnings
import numpy as np
import scipy.signal as signal
from tsfuse.data.synthetic import series, brownian
from tsfuse.transformers.frequency import *
from tsfuse.transformers.statistics import *
@pytest.fixture
def x():
return brownian()
def test_fft_real(x):
result = FFT(attr='real... | 0.779825 | 0.862468 |
import numpy as np
from model.factor import RandomVar
from learning.parameter import UniformDirichlet
from inference.exact import VariableElimination
class NaiveBayes:
"""Multinomial Naive Bayes implementation.
This implementation is inefficient. It serves mainly as a
proof of concept that Naive Bayes... | learning/classification.py |
import numpy as np
from model.factor import RandomVar
from learning.parameter import UniformDirichlet
from inference.exact import VariableElimination
class NaiveBayes:
"""Multinomial Naive Bayes implementation.
This implementation is inefficient. It serves mainly as a
proof of concept that Naive Bayes... | 0.90703 | 0.700267 |
# Python Import Modules:
from __future__ import print_function
# Instructions:
# Part I
# Given the following list:
# students = [
# {'first_name': 'Michael', 'last_name' : 'Jordan'},
# {'first_name' : 'John', 'last_name' : 'Rosales'},
# {'first_name' : 'Mark', 'last_name' : 'Guillen'}... | python_names.py |
# Python Import Modules:
from __future__ import print_function
# Instructions:
# Part I
# Given the following list:
# students = [
# {'first_name': 'Michael', 'last_name' : 'Jordan'},
# {'first_name' : 'John', 'last_name' : 'Rosales'},
# {'first_name' : 'Mark', 'last_name' : 'Guillen'}... | 0.46223 | 0.275577 |
from typing import Any, Dict, Iterable
from inspect import isclass
import abc
from ._argument_spec import ArgumentSpec
def _needs_spec(bound_object: Any) -> bool:
return isclass(bound_object)
class BindingSpec(metaclass=abc.ABCMeta):
@abc.abstractmethod
def has_instance(self) -> bool:
"""
... | zanna/_binding_spec.py | from typing import Any, Dict, Iterable
from inspect import isclass
import abc
from ._argument_spec import ArgumentSpec
def _needs_spec(bound_object: Any) -> bool:
return isclass(bound_object)
class BindingSpec(metaclass=abc.ABCMeta):
@abc.abstractmethod
def has_instance(self) -> bool:
"""
... | 0.888057 | 0.16872 |
import pytest
import json
from common.testresult import TestResults, TestResult
import pickle
import base64
def test__testresults_append__type_not_testresult__throws_error():
# Arrange
test_results = TestResults()
# Act/Assert
with pytest.raises(TypeError):
test_results.append("Tes... | tests/nutter/test_testresult.py | import pytest
import json
from common.testresult import TestResults, TestResult
import pickle
import base64
def test__testresults_append__type_not_testresult__throws_error():
# Arrange
test_results = TestResults()
# Act/Assert
with pytest.raises(TypeError):
test_results.append("Tes... | 0.317532 | 0.424889 |
from django.core.urlresolvers import reverse
from django.shortcuts import redirect, render_to_response
from django.template.context import RequestContext
from guardian.decorators import permission_required_or_403
from userena.decorators import secure_required
from accounts.forms import UserAddForm
from django.contrib.a... | accounts/views.py | from django.core.urlresolvers import reverse
from django.shortcuts import redirect, render_to_response
from django.template.context import RequestContext
from guardian.decorators import permission_required_or_403
from userena.decorators import secure_required
from accounts.forms import UserAddForm
from django.contrib.a... | 0.453746 | 0.097433 |
import pandas as pd
import numpy as np
def unique_allele_test(row):
if row['total_total_alt_allele_counts'] > 0:
top_well = sorted(wells, key=lambda w: row[w + '_total_alt_allele_counts'])[-1]
if row[top_well + '_total_alt_allele_counts'] / row['total_total_alt_allele_counts'] > 0.9:
... | WGS/.ipynb_checkpoints/process_final_files-checkpoint.py | import pandas as pd
import numpy as np
def unique_allele_test(row):
if row['total_total_alt_allele_counts'] > 0:
top_well = sorted(wells, key=lambda w: row[w + '_total_alt_allele_counts'])[-1]
if row[top_well + '_total_alt_allele_counts'] / row['total_total_alt_allele_counts'] > 0.9:
... | 0.19046 | 0.122891 |
import matplotlib
matplotlib.use('agg')
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import seaborn as sns
from glob import glob
import json
import pandas as pd
import numpy as np
import json
from pathlib import Path
import pkg_resources
def main():
for c in range(2):
files = glob(f'./*... | scripts/plots/wasserstein_histogram.py | import matplotlib
matplotlib.use('agg')
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import seaborn as sns
from glob import glob
import json
import pandas as pd
import numpy as np
import json
from pathlib import Path
import pkg_resources
def main():
for c in range(2):
files = glob(f'./*... | 0.319758 | 0.269203 |
from openmdao.core.vec_wrapper import SrcVecWrapper, TgtVecWrapper
from openmdao.core.data_transfer import DataTransfer
from openmdao.core.mpi_wrap import FakeComm
class BasicImpl(object):
"""Basic vector and data transfer implementation factory."""
idx_arr_type = int
@staticmethod
def world_comm()... | openmdao/core/basic_impl.py |
from openmdao.core.vec_wrapper import SrcVecWrapper, TgtVecWrapper
from openmdao.core.data_transfer import DataTransfer
from openmdao.core.mpi_wrap import FakeComm
class BasicImpl(object):
"""Basic vector and data transfer implementation factory."""
idx_arr_type = int
@staticmethod
def world_comm()... | 0.867626 | 0.399724 |
import subprocess
import warnings
from freemoovr.proxy.base_zmq import MultiServerBaseZMQ
class _OSGFileParsingMixin(object):
@staticmethod
def get_animations(path):
return _OSGFileParsingMixin._parse_osg_file(path)[1]
@staticmethod
def get_nodes(path):
return _OSGFileParsingMixin._... | src/freemoovr/proxy/stimulus_osg.py | import subprocess
import warnings
from freemoovr.proxy.base_zmq import MultiServerBaseZMQ
class _OSGFileParsingMixin(object):
@staticmethod
def get_animations(path):
return _OSGFileParsingMixin._parse_osg_file(path)[1]
@staticmethod
def get_nodes(path):
return _OSGFileParsingMixin._... | 0.634996 | 0.174656 |
import tensorflow as tf
from tensorflow.keras.layers import Layer
class SplitString(Layer):
"""
String Splitter Layer
"""
def __init__(self,
attr_feats,
sep='_',
feature_name=None,
**kwargs):
self.attr_feats = attr_feats
... | core/layers.py | import tensorflow as tf
from tensorflow.keras.layers import Layer
class SplitString(Layer):
"""
String Splitter Layer
"""
def __init__(self,
attr_feats,
sep='_',
feature_name=None,
**kwargs):
self.attr_feats = attr_feats
... | 0.88631 | 0.273497 |
import argparse
import os
from ConfigParser import ConfigParser
# Local utils
aux = os.path.dirname(sys.argv[2])
sys.path.insert(0, aux)
import casa_utils as utils
"""Perform uvcontsub and apply calibration table if required
The input for applycal can be configured in the `lineapplycal` (default)
section of the conf... | run_uvcontsub.py | import argparse
import os
from ConfigParser import ConfigParser
# Local utils
aux = os.path.dirname(sys.argv[2])
sys.path.insert(0, aux)
import casa_utils as utils
"""Perform uvcontsub and apply calibration table if required
The input for applycal can be configured in the `lineapplycal` (default)
section of the conf... | 0.440469 | 0.330687 |
from opt.lowrank import LowRankOp
from .base_solver import *
from opt.utils import get_size
from opt import PruningOp, SPruningOp, BertQuantizeOp
from misc.train_bert import get_bert_FIM
import matplotlib.pyplot as plt
import pickle
import os
from os.path import exists
class BaselineSolver(BaseSolver):
def __init... | solver/baseline_solver.py | from opt.lowrank import LowRankOp
from .base_solver import *
from opt.utils import get_size
from opt import PruningOp, SPruningOp, BertQuantizeOp
from misc.train_bert import get_bert_FIM
import matplotlib.pyplot as plt
import pickle
import os
from os.path import exists
class BaselineSolver(BaseSolver):
def __init... | 0.590189 | 0.188716 |
class Solution:
def _minPathSum(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
import sys
n_row = len(grid)
if (n_row == 0):
return 0
n_col = len(grid[0])
size = n_row * n_col
dp = [sys.maxsize] * (n_row + 1)... | python/64_minimum_path_sum.py | class Solution:
def _minPathSum(self, grid):
"""
:type grid: List[List[int]]
:rtype: int
"""
import sys
n_row = len(grid)
if (n_row == 0):
return 0
n_col = len(grid[0])
size = n_row * n_col
dp = [sys.maxsize] * (n_row + 1)... | 0.49048 | 0.468487 |
from ClassesDAO.ClienteDAO import ClienteDAO
from ClassesDAO.FuncionarioDAO import FuncionarioDAO
from ClassesDAO.LivroDAO import LivroDAO
from ClassesDAO.CategoriaDAO import CategoriaDAO
# Classe que implementa as telas da aplicação e também é classe que inicia a aplicação
class AluguelPython(object):
# Menu pri... | Sistema_aluguel.py | from ClassesDAO.ClienteDAO import ClienteDAO
from ClassesDAO.FuncionarioDAO import FuncionarioDAO
from ClassesDAO.LivroDAO import LivroDAO
from ClassesDAO.CategoriaDAO import CategoriaDAO
# Classe que implementa as telas da aplicação e também é classe que inicia a aplicação
class AluguelPython(object):
# Menu pri... | 0.294621 | 0.2174 |
from django.contrib.auth import authenticate, login
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from django.contrib.auth.models import Group
from applications.access.forms import ClientRegistrationForm, AdminRegistrationForm
from applications.core.models impor... | src/applications/access/views.py | from django.contrib.auth import authenticate, login
from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from django.contrib.auth.models import Group
from applications.access.forms import ClientRegistrationForm, AdminRegistrationForm
from applications.core.models impor... | 0.497559 | 0.077134 |
import json
import dataflows as DF
import time
from common import all_data, city_translations, upload_file
from city_images import upload_static_image
def ranker():
def func(rows):
for i, r in enumerate(rows):
r['rank'] = i + 1
yield r
return func
def sort_limit_scores():
d... | tools/city_ranking.py | import json
import dataflows as DF
import time
from common import all_data, city_translations, upload_file
from city_images import upload_static_image
def ranker():
def func(rows):
for i, r in enumerate(rows):
r['rank'] = i + 1
yield r
return func
def sort_limit_scores():
d... | 0.439266 | 0.13852 |
import csv
import getopt
import math
import sys
from time import localtime, strftime, time
# Global variables.
# The value can be updated by command line options.
__data_type = None
__input_file_path = None
__output_file_path = None
def process_inventory_list():
print("-" * 100)
time_str = str... | Python_Test/PyDataMiningSample/com/djs/learn/hdb/PreprocessData.py | import csv
import getopt
import math
import sys
from time import localtime, strftime, time
# Global variables.
# The value can be updated by command line options.
__data_type = None
__input_file_path = None
__output_file_path = None
def process_inventory_list():
print("-" * 100)
time_str = str... | 0.19853 | 0.093058 |
import pygame as pg
from settings import *
from tilemap import collide_hit_rect
vec = pg.math.Vector2
def collide_with_walls(sprite, group, dir):
if dir == 'x':
hits = pg.sprite.spritecollide(sprite, group, False, collide_hit_rect)
if hits:
if sprite.vel.x > 0:
... | sprites.py | import pygame as pg
from settings import *
from tilemap import collide_hit_rect
vec = pg.math.Vector2
def collide_with_walls(sprite, group, dir):
if dir == 'x':
hits = pg.sprite.spritecollide(sprite, group, False, collide_hit_rect)
if hits:
if sprite.vel.x > 0:
... | 0.333395 | 0.312055 |
import shared_gui_delegate_on_robot
import time
import rosebot
import ev3dev.ev3 as ev3
#Sprint 2 Functions
def increasing_rate_of_beep(rate_of_beep,rate_of_beep_increase,robot):
""":type robot: rosebot.RoseBot"""
robot.drive_system.go(20,20)
while True:
distance = robot.sensor_system.ir_proximit... | src/m1_extra.py | import shared_gui_delegate_on_robot
import time
import rosebot
import ev3dev.ev3 as ev3
#Sprint 2 Functions
def increasing_rate_of_beep(rate_of_beep,rate_of_beep_increase,robot):
""":type robot: rosebot.RoseBot"""
robot.drive_system.go(20,20)
while True:
distance = robot.sensor_system.ir_proximit... | 0.23092 | 0.266766 |
from django.contrib.gis import admin
from django.forms import ModelForm
from vfwheron import models
# The Admin.py is used to create fields in the django admin web page
# Register your models here.
class EntriesAdminForm(ModelForm):
class Meta:
model = models.Entries
fields = ['title', 'abstract'... | vfwheron/admin.py | from django.contrib.gis import admin
from django.forms import ModelForm
from vfwheron import models
# The Admin.py is used to create fields in the django admin web page
# Register your models here.
class EntriesAdminForm(ModelForm):
class Meta:
model = models.Entries
fields = ['title', 'abstract'... | 0.346873 | 0.135318 |
import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots
#mapbox_token
mapbox_access_token = open('mapbox_access_token').read()
#get portugal data
portugal_url='https://raw.githubusercontent.com/dssg-pt/covid19pt-data/master/data.csv'
portugal_df=pd.read_csv(portugal_ur... | covid19PortugalPT.py | import pandas as pd
import plotly.graph_objects as go
from plotly.subplots import make_subplots
#mapbox_token
mapbox_access_token = open('mapbox_access_token').read()
#get portugal data
portugal_url='https://raw.githubusercontent.com/dssg-pt/covid19pt-data/master/data.csv'
portugal_df=pd.read_csv(portugal_ur... | 0.270673 | 0.154727 |
import argparse
from collections import defaultdict
from os.path import splitext, dirname
from g2p_en import G2p
import pandas as pd
import time
from utils import *
def get_parser():
parser = argparse.ArgumentParser(formatter_class = argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--libripath', typ... | libriphrase.py | import argparse
from collections import defaultdict
from os.path import splitext, dirname
from g2p_en import G2p
import pandas as pd
import time
from utils import *
def get_parser():
parser = argparse.ArgumentParser(formatter_class = argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--libripath', typ... | 0.164953 | 0.116111 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import functools
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
import torch.optim as optim
import common.images
import common.metrics
import model... | models/panet.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import functools
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.init as init
import torch.optim as optim
import common.images
import common.metrics
import model... | 0.866937 | 0.123049 |
from django.contrib.auth.models import User
# local Django
from app.models import Notification
from app.models import Task
from app.models import Host
class Notification_Entity():
def insert_one(self, notification):
"""Insert Notification"""
notification = Notification(
highlight=not... | app/modules/entity/notification_entity.py | from django.contrib.auth.models import User
# local Django
from app.models import Notification
from app.models import Task
from app.models import Host
class Notification_Entity():
def insert_one(self, notification):
"""Insert Notification"""
notification = Notification(
highlight=not... | 0.346873 | 0.036666 |
import os
import aiohttp
from asyncinit import asyncinit
from wow.fight import Fight
API_URL = "https://www.warcraftlogs.com:443/v1/report/"
@asyncinit
class WarcraftlogsAPI():
async def __init__(self, code: str):
self.code = code
self.log_info = await self.get_log_info()
async def get_log... | wow/warcraftlogs.py | import os
import aiohttp
from asyncinit import asyncinit
from wow.fight import Fight
API_URL = "https://www.warcraftlogs.com:443/v1/report/"
@asyncinit
class WarcraftlogsAPI():
async def __init__(self, code: str):
self.code = code
self.log_info = await self.get_log_info()
async def get_log... | 0.484624 | 0.178741 |
from sklearn.grid_search import GridSearchCV
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.externals import joblib
import deepdish.io as io
import cPickle
import sys
CROSS_VAL = False
# -----------------------------------------------------------------
def train():
'''
'''
data = io... | trackjets/trackjet_bdt.py | from sklearn.grid_search import GridSearchCV
from sklearn.ensemble import GradientBoostingClassifier
from sklearn.externals import joblib
import deepdish.io as io
import cPickle
import sys
CROSS_VAL = False
# -----------------------------------------------------------------
def train():
'''
'''
data = io... | 0.468304 | 0.278287 |
from typing import Dict
from django.conf import settings
from django.contrib.auth import get_user_model
from django.contrib.postgres.fields import JSONField
from django.core.exceptions import ValidationError
from django.db import models
from django.utils.encoding import force_text
from django.utils.translation import ... | mozilla_django_oidc_db/models.py | from typing import Dict
from django.conf import settings
from django.contrib.auth import get_user_model
from django.contrib.postgres.fields import JSONField
from django.core.exceptions import ValidationError
from django.db import models
from django.utils.encoding import force_text
from django.utils.translation import ... | 0.768473 | 0.108992 |
from django.conf import settings
from django.db import models
import uuid
from django.contrib.auth.models import (
AbstractBaseUser,
BaseUserManager,
PermissionsMixin,
)
class UserManager(BaseUserManager):
def create_user(self, email, password=<PASSWORD>, **extra_fields):
"""Creates and saves... | server/src/core/models.py | from django.conf import settings
from django.db import models
import uuid
from django.contrib.auth.models import (
AbstractBaseUser,
BaseUserManager,
PermissionsMixin,
)
class UserManager(BaseUserManager):
def create_user(self, email, password=<PASSWORD>, **extra_fields):
"""Creates and saves... | 0.596433 | 0.13134 |
__all__ = ['TEST_MODEL_VIEW', 'TEST_API_VIEW']
TEST_MODEL_VIEW = """from django.test import TestCase
from {{ app_name }}.factories import {{ model_meta.object_name }}Factory
from {{ app_name }}.models import {{ model_meta.object_name }}
class {{ model_meta.object_name }}TestCase(TestCase):
def setUp(self):
... | drf_app_generators/templates/tests.py | __all__ = ['TEST_MODEL_VIEW', 'TEST_API_VIEW']
TEST_MODEL_VIEW = """from django.test import TestCase
from {{ app_name }}.factories import {{ model_meta.object_name }}Factory
from {{ app_name }}.models import {{ model_meta.object_name }}
class {{ model_meta.object_name }}TestCase(TestCase):
def setUp(self):
... | 0.437824 | 0.204799 |
from __future__ import unicode_literals, absolute_import
from django.utils.encoding import python_2_unicode_compatible
from django.db import models
from django.core.urlresolvers import reverse_lazy
from django.utils.translation import ugettext_lazy as _
@python_2_unicode_compatible
class Author(models.Model):
#... | shelf/models.py | from __future__ import unicode_literals, absolute_import
from django.utils.encoding import python_2_unicode_compatible
from django.db import models
from django.core.urlresolvers import reverse_lazy
from django.utils.translation import ugettext_lazy as _
@python_2_unicode_compatible
class Author(models.Model):
#... | 0.593256 | 0.134264 |
load("@bazel_tools//tools/build_defs/repo:git.bzl", "new_git_repository") # buildifier: disable=load
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") # buildifier: disable=load
load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe") # buildifier: disable=load
def raze_fetch_remote_crates(... | bazel/cargo/crates.bzl | load("@bazel_tools//tools/build_defs/repo:git.bzl", "new_git_repository") # buildifier: disable=load
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") # buildifier: disable=load
load("@bazel_tools//tools/build_defs/repo:utils.bzl", "maybe") # buildifier: disable=load
def raze_fetch_remote_crates(... | 0.314156 | 0.142649 |
"""Experiment utils."""
import os
import tensorflow as tf
from cen import losses
from cen import metrics
from cen import models
from cen import networks
class ModeKeys(object):
TRAIN = "train"
EVAL = "eval"
INFER = "infer"
def get_input_dtypes(data):
"""Returns input shapes."""
return {k: str... | cen/experiment/utils.py | """Experiment utils."""
import os
import tensorflow as tf
from cen import losses
from cen import metrics
from cen import models
from cen import networks
class ModeKeys(object):
TRAIN = "train"
EVAL = "eval"
INFER = "infer"
def get_input_dtypes(data):
"""Returns input shapes."""
return {k: str... | 0.83545 | 0.22396 |
from __future__ import absolute_import, unicode_literals
import abc
import logging
from collections import OrderedDict, defaultdict
from copy import deepcopy
from multiprocessing import cpu_count
import numpy as np
import six
from keras.preprocessing.sequence import pad_sequences as keras_pad_sequences
from keras.uti... | texcla/preprocessing/utils.py | from __future__ import absolute_import, unicode_literals
import abc
import logging
from collections import OrderedDict, defaultdict
from copy import deepcopy
from multiprocessing import cpu_count
import numpy as np
import six
from keras.preprocessing.sequence import pad_sequences as keras_pad_sequences
from keras.uti... | 0.702632 | 0.328718 |
from __future__ import absolute_import
import calendar
import datetime
import decimal
import iso8601
import sqlalchemy
from sqlalchemy.dialects import mysql
from sqlalchemy import types
from gnocchi import utils
class PreciseTimestamp(types.TypeDecorator):
"""Represents a timestamp precise to the microsecond.
... | gnocchi/indexer/sqlalchemy_types.py | from __future__ import absolute_import
import calendar
import datetime
import decimal
import iso8601
import sqlalchemy
from sqlalchemy.dialects import mysql
from sqlalchemy import types
from gnocchi import utils
class PreciseTimestamp(types.TypeDecorator):
"""Represents a timestamp precise to the microsecond.
... | 0.750278 | 0.199347 |
import logging
import doctest
import random
from ox_cache.mixins import TimedExpiryMixin
from ox_cache.memoizers import OxMemoizer
from ox_cache.locks import FakeLock
class RandomReplacementMixin:
"""Example mixin to do random replacement.
"""
def __init__(self, *args, max_size=128, **kwargs):
s... | ox_cache/tests.py | import logging
import doctest
import random
from ox_cache.mixins import TimedExpiryMixin
from ox_cache.memoizers import OxMemoizer
from ox_cache.locks import FakeLock
class RandomReplacementMixin:
"""Example mixin to do random replacement.
"""
def __init__(self, *args, max_size=128, **kwargs):
s... | 0.652463 | 0.173026 |
from office365.directory.identities.api_connector import IdentityApiConnector
from office365.directory.identities.conditional_access_root import ConditionalAccessRoot
from office365.directory.identities.userflows.attribute import IdentityUserFlowAttribute
from office365.directory.identities.userflows.b2x.user_flow impo... | office365/directory/identities/identity_container.py | from office365.directory.identities.api_connector import IdentityApiConnector
from office365.directory.identities.conditional_access_root import ConditionalAccessRoot
from office365.directory.identities.userflows.attribute import IdentityUserFlowAttribute
from office365.directory.identities.userflows.b2x.user_flow impo... | 0.874761 | 0.15876 |
import pandas as pd
import numpy as np
import math
import os
from scipy.special import entr
csvFolderPath = "../../../COIN/4_Repos/Ready_For_Regression/"
resultPath = '../Regression/input.csv'
def giniCalculator(array):
x = np.array(array)
mad = np.abs(np.subtract.outer(x, x)).mean()
# Relative mean abso... | scripts/DataPrep/DataPrep.py | import pandas as pd
import numpy as np
import math
import os
from scipy.special import entr
csvFolderPath = "../../../COIN/4_Repos/Ready_For_Regression/"
resultPath = '../Regression/input.csv'
def giniCalculator(array):
x = np.array(array)
mad = np.abs(np.subtract.outer(x, x)).mean()
# Relative mean abso... | 0.380644 | 0.233553 |
from gdcmdtools.perm import GDPerm
from gdcmdtools.perm import help_permission_text
import argparse
from argparse import RawTextHelpFormatter
from gdcmdtools.base import BASE_INFO
from gdcmdtools.base import DEBUG_LEVEL
from pprint import pprint
import sys
import logging
logger = logging.getLogger()
__THIS_APP = '... | gdperm.py |
from gdcmdtools.perm import GDPerm
from gdcmdtools.perm import help_permission_text
import argparse
from argparse import RawTextHelpFormatter
from gdcmdtools.base import BASE_INFO
from gdcmdtools.base import DEBUG_LEVEL
from pprint import pprint
import sys
import logging
logger = logging.getLogger()
__THIS_APP = '... | 0.239883 | 0.123842 |
from kivy.properties import NumericProperty
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.scatter import Scatter
from kivy.clock import Clock
from math import atan2, degrees
class Card(Scatter):
symm_boundary = NumericProperty(120)
angle = NumericProperty(0)
... | app/widgets/swiper.py | from kivy.properties import NumericProperty
from kivy.uix.widget import Widget
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.scatter import Scatter
from kivy.clock import Clock
from math import atan2, degrees
class Card(Scatter):
symm_boundary = NumericProperty(120)
angle = NumericProperty(0)
... | 0.777131 | 0.223441 |
import unittest
from src.utils import *
class TestUtilsModule(unittest.TestCase):
"""Tests the utils.py module."""
def test_get_start_end_values_two_or_more_elements_in_array(self) -> None:
arr = np.array([1, 2])
return_value = get_start_end_values(array=arr)
self.assertEqual(len(ret... | test/test_utils.py |
import unittest
from src.utils import *
class TestUtilsModule(unittest.TestCase):
"""Tests the utils.py module."""
def test_get_start_end_values_two_or_more_elements_in_array(self) -> None:
arr = np.array([1, 2])
return_value = get_start_end_values(array=arr)
self.assertEqual(len(ret... | 0.728169 | 0.751169 |
#Import Libraries
import json
import logging
from flask import Flask
from flask import render_template
import logging_formatting
import test_covid_news_handling as tcnh
import covid_data_handler as cdh
import covid_news_handling as cnh
import test_covid_data_handler as tcdh
#Initalise app
app = Flask(__n... | user_interface.py |
#Import Libraries
import json
import logging
from flask import Flask
from flask import render_template
import logging_formatting
import test_covid_news_handling as tcnh
import covid_data_handler as cdh
import covid_news_handling as cnh
import test_covid_data_handler as tcdh
#Initalise app
app = Flask(__n... | 0.314682 | 0.055823 |
import os
import sys
from setuptools import setup, find_packages
from configparser import ConfigParser
if sys.version_info < (3, 6):
error = """
GWCS supports Python versions 3.6 and above.
"""
sys.exit(error)
conf = ConfigParser()
conf.read(['setup.cfg'])
metadata = dict(conf.items('metadata'))
... | setup.py |
import os
import sys
from setuptools import setup, find_packages
from configparser import ConfigParser
if sys.version_info < (3, 6):
error = """
GWCS supports Python versions 3.6 and above.
"""
sys.exit(error)
conf = ConfigParser()
conf.read(['setup.cfg'])
metadata = dict(conf.items('metadata'))
... | 0.310067 | 0.11187 |
import math
import random
from utils.NoteUtils import NoteUtils
from utils.ScaleUtils import ScaleUtils
class DNA:
# TODO: add a parameter called melody_range_octaves
def __init__(self, genes_length, key_root_note, octave, mode, composition_parameters, underlying_harmony,
is_continuation, i... | composingAlgorithms/DNA.py | import math
import random
from utils.NoteUtils import NoteUtils
from utils.ScaleUtils import ScaleUtils
class DNA:
# TODO: add a parameter called melody_range_octaves
def __init__(self, genes_length, key_root_note, octave, mode, composition_parameters, underlying_harmony,
is_continuation, i... | 0.30013 | 0.32122 |
import os
import shutil
import logging
import subprocess
import zipfile
import requests
class Downloader:
def __init__(self, outdir, bookdir, cookies):
self.outdir = outdir
self.bookdir = bookdir
self.cookies = cookies
def save_bytes(self, bts, name):
fpath = os.path.join(self... | bookmate/downloader.py | import os
import shutil
import logging
import subprocess
import zipfile
import requests
class Downloader:
def __init__(self, outdir, bookdir, cookies):
self.outdir = outdir
self.bookdir = bookdir
self.cookies = cookies
def save_bytes(self, bts, name):
fpath = os.path.join(self... | 0.242385 | 0.106551 |
import math
import random
import json
class Neuron():
""" Represents a single Neuron/Node """
def __init__(self, alpha, weights):
""" Initialise a neuron with INPUT weights and a specific alpha """
self._weights = weights
self._alpha = alpha
def _input(self, inputs):
""" R... | neuralnetwork.py | import math
import random
import json
class Neuron():
""" Represents a single Neuron/Node """
def __init__(self, alpha, weights):
""" Initialise a neuron with INPUT weights and a specific alpha """
self._weights = weights
self._alpha = alpha
def _input(self, inputs):
""" R... | 0.788257 | 0.719137 |
from django.test import TestCase
from django.test import Client
from django.urls import reverse
from django.contrib.auth.models import User
from .models import bc_sector
class TestSector(TestCase):
def setUp(self):
# Set up data for the whole TestCase
bc_sector.objects.create(name="sector1", desc... | companies/tests.py | from django.test import TestCase
from django.test import Client
from django.urls import reverse
from django.contrib.auth.models import User
from .models import bc_sector
class TestSector(TestCase):
def setUp(self):
# Set up data for the whole TestCase
bc_sector.objects.create(name="sector1", desc... | 0.448185 | 0.239327 |
from trash import app
from flask import render_template, redirect, url_for, request, Flask
from PIL import Image
from os import path
import json
from PIL import Image
import requests
from io import BytesIO
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
# app = Flask(__name__)
capp =... | trash/views.py | from trash import app
from flask import render_template, redirect, url_for, request, Flask
from PIL import Image
from os import path
import json
from PIL import Image
import requests
from io import BytesIO
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
# app = Flask(__name__)
capp =... | 0.275812 | 0.063978 |
import unittest
from copy import deepcopy
from apronpy.texpr1 import PyTexpr1
from apronpy.coeff import PyDoubleScalarCoeff, PyMPQScalarCoeff
from apronpy.environment import PyEnvironment
from apronpy.lincons0 import ConsTyp
from apronpy.lincons1 import PyLincons1
from apronpy.linexpr1 import PyLinexpr1
from apronpy.... | tests/test_tcons1.py | import unittest
from copy import deepcopy
from apronpy.texpr1 import PyTexpr1
from apronpy.coeff import PyDoubleScalarCoeff, PyMPQScalarCoeff
from apronpy.environment import PyEnvironment
from apronpy.lincons0 import ConsTyp
from apronpy.lincons1 import PyLincons1
from apronpy.linexpr1 import PyLinexpr1
from apronpy.... | 0.446012 | 0.40751 |
import os.path
import itertools
import Tools
import random
import numpy as np
import scipy
import scipy.stats
NBTESTS = 10
VECDIM = [12,14,20]
def entropyTest(config,nb):
inputs = []
outputs = []
vecDim = VECDIM[nb % len(VECDIM)]
dims=np.array([NBTESTS,vecDim])
for _ in range(0,NBTESTS):
... | CMSIS/DSP/Testing/PatternGeneration/Stats.py | import os.path
import itertools
import Tools
import random
import numpy as np
import scipy
import scipy.stats
NBTESTS = 10
VECDIM = [12,14,20]
def entropyTest(config,nb):
inputs = []
outputs = []
vecDim = VECDIM[nb % len(VECDIM)]
dims=np.array([NBTESTS,vecDim])
for _ in range(0,NBTESTS):
... | 0.262653 | 0.27211 |
from pm4py.algo.enhancement.sna.variants.log import handover as log_handover, jointactivities as log_jointactivities, \
subcontracting as log_subcontracting, working_together as log_workingtogether
from pm4py.algo.enhancement.sna.variants.pandas import handover as pd_handover, subcontracting as pd_subcontracting, \... | ws2122-lspm/Lib/site-packages/pm4py/algo/enhancement/sna/algorithm.py | from pm4py.algo.enhancement.sna.variants.log import handover as log_handover, jointactivities as log_jointactivities, \
subcontracting as log_subcontracting, working_together as log_workingtogether
from pm4py.algo.enhancement.sna.variants.pandas import handover as pd_handover, subcontracting as pd_subcontracting, \... | 0.872958 | 0.282573 |
import time
import requests
import json
import sys
import getopt
mytimeinterval = 30
runcount = 1
def get_key_auth_token(ip,ver,uname,pword):
# The url for the post ticket API request
post_url = "https://partners.dnaspaces.io/client/v1/partner/activateOnPremiseApp"
print(post_url)
urllib3.disable_war... | dnaspace_data_Adapt.py | import time
import requests
import json
import sys
import getopt
mytimeinterval = 30
runcount = 1
def get_key_auth_token(ip,ver,uname,pword):
# The url for the post ticket API request
post_url = "https://partners.dnaspaces.io/client/v1/partner/activateOnPremiseApp"
print(post_url)
urllib3.disable_war... | 0.036813 | 0.084003 |
import logging
import os
import re
import shutil
from pprint import pformat
from base64 import urlsafe_b64encode
import boto3
import yaml
from botocore.errorfactory import ClientError
from .aws_facts import get_vpc_facts
logger = logging.getLogger(__name__)
def ensure_aws_facts(self):
self.vpc_facts = get_vpc_... | kforce/pre_steps.py | import logging
import os
import re
import shutil
from pprint import pformat
from base64 import urlsafe_b64encode
import boto3
import yaml
from botocore.errorfactory import ClientError
from .aws_facts import get_vpc_facts
logger = logging.getLogger(__name__)
def ensure_aws_facts(self):
self.vpc_facts = get_vpc_... | 0.307774 | 0.110759 |
from decouple import config
import os
from pathlib import Path
import cv2
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/... | Backend/yoga_pose_analyser/settings.py | from decouple import config
import os
from pathlib import Path
import cv2
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/... | 0.462959 | 0.086131 |
import sys
def set_path(path: str):
try:
sys.path.index(path)
except ValueError:
sys.path.insert(0, path)
# set programatically the path to 'openai_ros' directory (alternately can also set PYTHONPATH)
set_path('/media/suresh/research/awesome-robotics/active-slam/catkin_ws/src/openai-rosbot-env... | localization/src/localization_rl_agent.py |
import sys
def set_path(path: str):
try:
sys.path.index(path)
except ValueError:
sys.path.insert(0, path)
# set programatically the path to 'openai_ros' directory (alternately can also set PYTHONPATH)
set_path('/media/suresh/research/awesome-robotics/active-slam/catkin_ws/src/openai-rosbot-env... | 0.457137 | 0.198724 |
from typing import Iterable, Dict
class RepositoryStat:
""" Contribution statistics for a repository """
def __init__(self, name_with_owner: str):
self.name_with_owner: str = name_with_owner
self.pull_count: int = 0
self.issue_count: int = 0
self.commit_count: int = 0
... | show_me/db.py |
from typing import Iterable, Dict
class RepositoryStat:
""" Contribution statistics for a repository """
def __init__(self, name_with_owner: str):
self.name_with_owner: str = name_with_owner
self.pull_count: int = 0
self.issue_count: int = 0
self.commit_count: int = 0
... | 0.790571 | 0.173919 |
import cv2 as cv
import numpy as np
import torch
from detectron2.modeling import GeneralizedRCNN
from detectron2.layers import batched_nms
from torch.onnx import export
from train_net import DetectionCheckpointer, default_argument_parser, setup
class RCNNExporter(GeneralizedRCNN):
def __init__(self, *args, **kwa... | rcnn_export.py | import cv2 as cv
import numpy as np
import torch
from detectron2.modeling import GeneralizedRCNN
from detectron2.layers import batched_nms
from torch.onnx import export
from train_net import DetectionCheckpointer, default_argument_parser, setup
class RCNNExporter(GeneralizedRCNN):
def __init__(self, *args, **kwa... | 0.877798 | 0.395718 |
from common_fixtures import * # NOQA
def test_register_physical_host(admin_client):
uri = 'sim://{}'.format(random_str())
agent = admin_client.create_agent(uri=uri)
agent = admin_client.wait_success(agent)
assert agent.state == 'active'
hosts = agent.hosts()
for _ in range(10):
hos... | tests/integration/cattletest/core/test_physical_host.py | from common_fixtures import * # NOQA
def test_register_physical_host(admin_client):
uri = 'sim://{}'.format(random_str())
agent = admin_client.create_agent(uri=uri)
agent = admin_client.wait_success(agent)
assert agent.state == 'active'
hosts = agent.hosts()
for _ in range(10):
hos... | 0.484624 | 0.366845 |
from feedreader.feeds.base import (PREFERRED_LINK_TYPES, PREFERRED_CONTENT_TYPES,
Feed, Item, get_element_text, get_attribute, search_child,
get_descendant, get_descendant_text, get_descendant_datetime,
safe_strip, ... | feedreader/feeds/atom03.py | from feedreader.feeds.base import (PREFERRED_LINK_TYPES, PREFERRED_CONTENT_TYPES,
Feed, Item, get_element_text, get_attribute, search_child,
get_descendant, get_descendant_text, get_descendant_datetime,
safe_strip, ... | 0.737158 | 0.119229 |
import collections
import os.path as osp
import sys
import PIL.Image
import numpy as np
import torch
from torch.utils import data
from .transforms import ImageTransformType, FlipType, apply_transform
class CityScape(data.Dataset):
class_names = np.array([
'ego vehicle',
'rectification border',
... | torchfcn/datasets/cityscape.py | import collections
import os.path as osp
import sys
import PIL.Image
import numpy as np
import torch
from torch.utils import data
from .transforms import ImageTransformType, FlipType, apply_transform
class CityScape(data.Dataset):
class_names = np.array([
'ego vehicle',
'rectification border',
... | 0.343452 | 0.30399 |
from password import GMAIL_PASSWORD_KEY
ALTERNATIVE = "alternative"
ASSET = "asset"
ASSET_IDX = 0
BALANCE = "balance"
BINANCE = "Binance"
BOTH = "BOTH"
BNB = "BNB"
BNBUSDT = "BNBUSDT"
BTC = "BTC"
BTCUSDT = "BTCUSDT"
BUY = "BUY"
BYBIT = "Bybit"
CEP = "CEP__"
CEPS_PATH = "/ceps/"
COINBASE = "Coinbase"
CURRENT_SIDE = "c... | scripts/constants.py | from password import GMAIL_PASSWORD_KEY
ALTERNATIVE = "alternative"
ASSET = "asset"
ASSET_IDX = 0
BALANCE = "balance"
BINANCE = "Binance"
BOTH = "BOTH"
BNB = "BNB"
BNBUSDT = "BNBUSDT"
BTC = "BTC"
BTCUSDT = "BTCUSDT"
BUY = "BUY"
BYBIT = "Bybit"
CEP = "CEP__"
CEPS_PATH = "/ceps/"
COINBASE = "Coinbase"
CURRENT_SIDE = "c... | 0.136234 | 0.057573 |
import unittest
import os
import sys
PACKAGE_PARENT = '..'
SCRIPT_DIR = os.path.dirname(os.path.realpath(os.path.join(os.getcwd(), os.path.expanduser(__file__))))
sys.path.append(os.path.normpath(os.path.join(SCRIPT_DIR, PACKAGE_PARENT)))
from parse_display import ParseDisplayOutput
from command_generator import Comm... | tests/test_command_generator.py | import unittest
import os
import sys
PACKAGE_PARENT = '..'
SCRIPT_DIR = os.path.dirname(os.path.realpath(os.path.join(os.getcwd(), os.path.expanduser(__file__))))
sys.path.append(os.path.normpath(os.path.join(SCRIPT_DIR, PACKAGE_PARENT)))
from parse_display import ParseDisplayOutput
from command_generator import Comm... | 0.163012 | 0.254509 |
from TokenType import *
from Types import *
#begin Interpreter class
class Interpreter:
#Utility functions
#define evaluate function
def evaluate(self, node):
methodName = node.__class__.__name__ #Get method name
method = getattr(self, methodName, self.noVisit) #Get method
return m... | src/Interpreter.py | from TokenType import *
from Types import *
#begin Interpreter class
class Interpreter:
#Utility functions
#define evaluate function
def evaluate(self, node):
methodName = node.__class__.__name__ #Get method name
method = getattr(self, methodName, self.noVisit) #Get method
return m... | 0.532668 | 0.316343 |
import sys
aux = [0]*(999999)
#Método iterativo (Input: arreglo de denominaciones, monto a cambiar. Output: solución (cantidad mínima de monedas a usar), arreglo que almacena las monedas ocupadas para el cambio)
def bottomUpChange(denom, monto):
# Se inicializa la tabla que almacena el minimo numero de moneda... | coinChange.py | import sys
aux = [0]*(999999)
#Método iterativo (Input: arreglo de denominaciones, monto a cambiar. Output: solución (cantidad mínima de monedas a usar), arreglo que almacena las monedas ocupadas para el cambio)
def bottomUpChange(denom, monto):
# Se inicializa la tabla que almacena el minimo numero de moneda... | 0.094788 | 0.698115 |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from de... | pybind/slxos/v16r_1_00b/brocade_mpls_rpc/show_mpls_ldp_fec_vc/output/ldp_fec_vc_rec_list/__init__.py | from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from de... | 0.555435 | 0.055669 |
from django.db import models
# Create your models here.
class Location(models.Model):
location_name = models.CharField(max_length = 25)
def __str__(self):
return self.location_name
def save_location(self):
self.save()
def delete_location(location_id):
Location.objects.filter(... | gallery/models.py | from django.db import models
# Create your models here.
class Location(models.Model):
location_name = models.CharField(max_length = 25)
def __str__(self):
return self.location_name
def save_location(self):
self.save()
def delete_location(location_id):
Location.objects.filter(... | 0.510496 | 0.223165 |
import pygame as game
import time
import random
game.init()
color_white = (255, 255, 255)
color_black = (0, 0, 0)
color_red = (255, 0, 0)
green = (0, 155, 0)
display_width = 800
display_height = 600
DisplayScreen = game.display.set_mode((display_width, display_height))
game.display.set_caption('')
image = game.im... | Chapter11/SnakeGameFinal.py | import pygame as game
import time
import random
game.init()
color_white = (255, 255, 255)
color_black = (0, 0, 0)
color_red = (255, 0, 0)
green = (0, 155, 0)
display_width = 800
display_height = 600
DisplayScreen = game.display.set_mode((display_width, display_height))
game.display.set_caption('')
image = game.im... | 0.330147 | 0.222954 |
import sys
import ds_format as ds
import os
import numpy as np
from alcf.models import META
from alcf import misc
import aquarius_time as aq
VARS = [
'gh',
't',
'ciwc',
'clw',
'tcc',
'sp',
]
VARS_AUX = [
'level',
'time',
'latitude',
'longitude',
]
TRANS = {
'gh': 'zfull',
'latitude': 'lat',
'longitude':... | alcf/models/jra55.py | import sys
import ds_format as ds
import os
import numpy as np
from alcf.models import META
from alcf import misc
import aquarius_time as aq
VARS = [
'gh',
't',
'ciwc',
'clw',
'tcc',
'sp',
]
VARS_AUX = [
'level',
'time',
'latitude',
'longitude',
]
TRANS = {
'gh': 'zfull',
'latitude': 'lat',
'longitude':... | 0.094469 | 0.213152 |
import json
from iamheadless_projects.lookups.pagination import ALLOWED_FORMATS
from .. import utils
from ..pydantic_models import ItemSchema, NestedItemSchema
from .index_filters import filter_by_lookup_indexes
def retrieve_item(
item_id,
lookup_field='id',
format='queryset',
item_... | iamheadless_publisher/lookups/item_retrieve.py | import json
from iamheadless_projects.lookups.pagination import ALLOWED_FORMATS
from .. import utils
from ..pydantic_models import ItemSchema, NestedItemSchema
from .index_filters import filter_by_lookup_indexes
def retrieve_item(
item_id,
lookup_field='id',
format='queryset',
item_... | 0.195594 | 0.108048 |
import cvxpy.utilities as u
import cvxpy.lin_ops.lin_utils as lu
from cvxpy.expressions.constants.parameter import Parameter
from cvxpy.atoms.elementwise.elementwise import Elementwise
from cvxpy.atoms.elementwise.abs import abs
from cvxpy.atoms.elementwise.square import square
import numpy as np
class huber(Elementwi... | src/tools/ecos/cvxpy/cvxpy/atoms/elementwise/huber.py | import cvxpy.utilities as u
import cvxpy.lin_ops.lin_utils as lu
from cvxpy.expressions.constants.parameter import Parameter
from cvxpy.atoms.elementwise.elementwise import Elementwise
from cvxpy.atoms.elementwise.abs import abs
from cvxpy.atoms.elementwise.square import square
import numpy as np
class huber(Elementwi... | 0.890711 | 0.541469 |
import json
buildings = ["HEADQUARTER", "BARRACKS", "STABLE", "WORKSHOP", "ACADEMY", "SMITHY", "RALLY_POINT", "STATUE", "MARKET",
"TIMBER_CAMP", "CLAY_PIT", "IRON_MINE", "FARM", "WAREHOUSE", "HIDING_PLACE", "WALL"]
requirements = [
{},
{"HEADQUARTER": 3},
{"HEADQUARTER": 10, "BARRACKS": 5, "S... | resources/buildings/generate_files.py | import json
buildings = ["HEADQUARTER", "BARRACKS", "STABLE", "WORKSHOP", "ACADEMY", "SMITHY", "RALLY_POINT", "STATUE", "MARKET",
"TIMBER_CAMP", "CLAY_PIT", "IRON_MINE", "FARM", "WAREHOUSE", "HIDING_PLACE", "WALL"]
requirements = [
{},
{"HEADQUARTER": 3},
{"HEADQUARTER": 10, "BARRACKS": 5, "S... | 0.141994 | 0.346569 |
import os
import shutil
from wmt.config import site
from wmt.models.submissions import prepend_to_path
from wmt.utils.hook import find_simulation_input_file
from topoflow_utils.hook import choices_map
file_list = [] # ['pixel_file']
def uppercase_choice(choice):
"""Formats a string for consumption by TopoFlow.... | metadata/ErodeD8Global/hooks/pre-stage.py | import os
import shutil
from wmt.config import site
from wmt.models.submissions import prepend_to_path
from wmt.utils.hook import find_simulation_input_file
from topoflow_utils.hook import choices_map
file_list = [] # ['pixel_file']
def uppercase_choice(choice):
"""Formats a string for consumption by TopoFlow.... | 0.409929 | 0.276526 |
test001=\
{
}
test002=\
{
"name":"counter"
}
test003=\
{
"name":"counter",
"description":"Hi there, all okay!",
}
test0 =\
{
"name":"counter",
"description":"Hi there, all okay!",
"parameters":[]
}
# Payload to persist FogFunction
test101=\
{
}
test1... | test/UnitTest/persistance/data.py | test001=\
{
}
test002=\
{
"name":"counter"
}
test003=\
{
"name":"counter",
"description":"Hi there, all okay!",
}
test0 =\
{
"name":"counter",
"description":"Hi there, all okay!",
"parameters":[]
}
# Payload to persist FogFunction
test101=\
{
}
test1... | 0.460289 | 0.51751 |
from django.conf.urls import include, url
from glue2_views_api.views import *
# Define our custom URLs
# Additionally, we include login URLs for the browseable API.
urlpatterns = [
# url(r'^applicationenvironment/$',
# ApplicationEnvironment_List.as_view(),
# name='applicationenvironment-list'),
u... | django_xsede_warehouse/glue2_views_api/urls.py | from django.conf.urls import include, url
from glue2_views_api.views import *
# Define our custom URLs
# Additionally, we include login URLs for the browseable API.
urlpatterns = [
# url(r'^applicationenvironment/$',
# ApplicationEnvironment_List.as_view(),
# name='applicationenvironment-list'),
u... | 0.287168 | 0.060975 |
import torch
import torch.functional as F
import torch.nn as nn
import torch.optim as optim
import torch.utils.data as data
from util import TUTDataset
from model import SELDNet
import argparse
import sys
import os
from pprint import pprint
# test tensorboardX
from tensorboardX import SummaryWriter
dummy_input = (to... | test.py | import torch
import torch.functional as F
import torch.nn as nn
import torch.optim as optim
import torch.utils.data as data
from util import TUTDataset
from model import SELDNet
import argparse
import sys
import os
from pprint import pprint
# test tensorboardX
from tensorboardX import SummaryWriter
dummy_input = (to... | 0.458106 | 0.300592 |
from PyQt5 import QtWidgets, QtCore, QtGui
from ui import Window
class Settings(Window):
"""Настройка графического инфтерфейса"""
def __init__(self):
super(Settings, self).__init__()
self.style_sheet = "font: 14pt \"Times New Roman\";" # Размер и шрифт текста
self.header_list = ["Улиц... | settings.py | from PyQt5 import QtWidgets, QtCore, QtGui
from ui import Window
class Settings(Window):
"""Настройка графического инфтерфейса"""
def __init__(self):
super(Settings, self).__init__()
self.style_sheet = "font: 14pt \"Times New Roman\";" # Размер и шрифт текста
self.header_list = ["Улиц... | 0.400632 | 0.10307 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
]
operations = [
migrations.CreateModel(
name='do... | main_app/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
]
operations = [
migrations.CreateModel(
name='do... | 0.572842 | 0.154058 |
import argparse
import json
import os
import pdb
import sys
import time
import string
import torch
from torch.utils.data import DataLoader
sys.path.append('.')
from config import special_toks, train_conf
from dataset import FastDataset
from models import BlindStatelessLSTM, MultiAttentiveTransformer
from tools.simmc... | mm_response_generation/eval.py | import argparse
import json
import os
import pdb
import sys
import time
import string
import torch
from torch.utils.data import DataLoader
sys.path.append('.')
from config import special_toks, train_conf
from dataset import FastDataset
from models import BlindStatelessLSTM, MultiAttentiveTransformer
from tools.simmc... | 0.252108 | 0.182863 |
import sys
from struct import unpack
class ProtoBufAnalyserError(Exception):
"""
Class for error in the parameters provided to this script
"""
def __init__(self, msg):
print(ERROR : " + msg)
sys.exit(1)
pass
class ProtoBufAnalyser(object):
'''
This cla... | ProtoBufAnalyser.py | import sys
from struct import unpack
class ProtoBufAnalyserError(Exception):
"""
Class for error in the parameters provided to this script
"""
def __init__(self, msg):
print(ERROR : " + msg)
sys.exit(1)
pass
class ProtoBufAnalyser(object):
'''
This cla... | 0.301259 | 0.200186 |
import torch
from .base import ModuleBase
class YoloLoss(ModuleBase):
def __init__(self, num_classes, prior_box, object_scale=5):
super().__init__()
self.num_classes = num_classes
self.prior_box = prior_box
self.object_scale = 5
self.negative_location_scale = 0.01
def ... | mitorch/models/modules/yolo_loss.py | import torch
from .base import ModuleBase
class YoloLoss(ModuleBase):
def __init__(self, num_classes, prior_box, object_scale=5):
super().__init__()
self.num_classes = num_classes
self.prior_box = prior_box
self.object_scale = 5
self.negative_location_scale = 0.01
def ... | 0.85897 | 0.673146 |
import sys
import json
import datetime
from tkinter import Tk, Canvas, Entry, Button, Frame, Label, StringVar, ALL
from tkinter import ttk
from tkinter import messagebox
import urllib.request
import urllib.parse
class WeatherReporter:
weather_data = None
APIKEY = 'ENTER_YOUR_API_KEY_HERE'
def __init__(s... | Chapter 09/9.06_weather_ reporter.py | import sys
import json
import datetime
from tkinter import Tk, Canvas, Entry, Button, Frame, Label, StringVar, ALL
from tkinter import ttk
from tkinter import messagebox
import urllib.request
import urllib.parse
class WeatherReporter:
weather_data = None
APIKEY = 'ENTER_YOUR_API_KEY_HERE'
def __init__(s... | 0.32178 | 0.146759 |
from copy import deepcopy
from functools import partial
from typing import Any, Callable, Dict, Optional, Tuple
from .types import Index, KeyAttributeType, TableQuery
from .utils.index import ( # noqa # included only for cleaner imports
find_index,
hash_key_name,
range_key_name,
require_index,
)
def... | xoto3/dynamodb/query.py | from copy import deepcopy
from functools import partial
from typing import Any, Callable, Dict, Optional, Tuple
from .types import Index, KeyAttributeType, TableQuery
from .utils.index import ( # noqa # included only for cleaner imports
find_index,
hash_key_name,
range_key_name,
require_index,
)
def... | 0.883889 | 0.409044 |
from ._base import BaseTestCase
from datetime import datetime, timedelta, timezone
import dateutil.parser
from django.conf import settings
from django.contrib.auth.models import User
from django.core.management import call_command
from django.test import override_settings
from ban.models import Ban, Warn
class Tes... | fts/Ban.py | from ._base import BaseTestCase
from datetime import datetime, timedelta, timezone
import dateutil.parser
from django.conf import settings
from django.contrib.auth.models import User
from django.core.management import call_command
from django.test import override_settings
from ban.models import Ban, Warn
class Tes... | 0.496582 | 0.24289 |
from typing import Optional
from fastapi import APIRouter, Depends, Header
from fastapi.security import OAuth2PasswordBearer
from sql import schemas, crud, database, models
from sql.database import db_state_default
from core import exceptions
database.db.connect()
database.db.create_tables(
[
models.User,
... | blog/api/post.py | from typing import Optional
from fastapi import APIRouter, Depends, Header
from fastapi.security import OAuth2PasswordBearer
from sql import schemas, crud, database, models
from sql.database import db_state_default
from core import exceptions
database.db.connect()
database.db.create_tables(
[
models.User,
... | 0.712432 | 0.088465 |
from typing import Tuple
from django.db import models
from django.utils import timezone
from jsonfield import JSONField
from backend.utils.models import BaseTSModel
from .managers import RepositoryAuthManager, RepositoryManager
class Repository(BaseTSModel):
url = models.URLField('URL')
name = models.CharF... | bcs-ui/backend/helm/helm/models/repo.py | from typing import Tuple
from django.db import models
from django.utils import timezone
from jsonfield import JSONField
from backend.utils.models import BaseTSModel
from .managers import RepositoryAuthManager, RepositoryManager
class Repository(BaseTSModel):
url = models.URLField('URL')
name = models.CharF... | 0.424293 | 0.102799 |
"""Piecewise-linearly-controlled rotation."""
from typing import List, Optional
import numpy as np
from qiskit.circuit import QuantumRegister, QuantumCircuit
from qiskit.circuit.exceptions import CircuitError
from qiskit.circuit.library.arithmetic.linear_pauli_rotations import LinearPauliRotations
from unqomp.examp... | unqomp/examples/piecewiselinrot.py |
"""Piecewise-linearly-controlled rotation."""
from typing import List, Optional
import numpy as np
from qiskit.circuit import QuantumRegister, QuantumCircuit
from qiskit.circuit.exceptions import CircuitError
from qiskit.circuit.library.arithmetic.linear_pauli_rotations import LinearPauliRotations
from unqomp.examp... | 0.922961 | 0.646886 |
#Types.
from typing import Dict, List, IO, Any
#PartialMeritRemoval class.
from PythonTests.Classes.Consensus.MeritRemoval import PartialMeritRemoval
#TestError Exception.
from PythonTests.Tests.Errors import TestError
#Meros classes.
from PythonTests.Meros.Meros import MessageType
from PythonTests.Meros.RPC import... | PythonTests/Tests/Consensus/MeritRemoval/PartialTest.py |
#Types.
from typing import Dict, List, IO, Any
#PartialMeritRemoval class.
from PythonTests.Classes.Consensus.MeritRemoval import PartialMeritRemoval
#TestError Exception.
from PythonTests.Tests.Errors import TestError
#Meros classes.
from PythonTests.Meros.Meros import MessageType
from PythonTests.Meros.RPC import... | 0.662469 | 0.362377 |
from configparser import ConfigParser
import os
import numpy as np
import matplotlib.pyplot as plt
import gravelamps.lensing
#Read in the simple INI file utils_testing.ini
config = ConfigParser()
config.read("utils_testing.ini")
#Check if the data directory exists, if it doesn't make it
outdir = config.get("output_se... | review_materials/utils_testing/utils_testing.py | from configparser import ConfigParser
import os
import numpy as np
import matplotlib.pyplot as plt
import gravelamps.lensing
#Read in the simple INI file utils_testing.ini
config = ConfigParser()
config.read("utils_testing.ini")
#Check if the data directory exists, if it doesn't make it
outdir = config.get("output_se... | 0.417271 | 0.591959 |
from django.contrib.auth import get_user_model
from django.test import TestCase
from django.test.client import Client
from formfactory.tests.test_base import load_fixtures
class AdminTestCase(TestCase):
def setUp(self):
load_fixtures(self)
self.client = Client()
self.editor = get_user_mod... | formfactory/tests/test_admin.py | from django.contrib.auth import get_user_model
from django.test import TestCase
from django.test.client import Client
from formfactory.tests.test_base import load_fixtures
class AdminTestCase(TestCase):
def setUp(self):
load_fixtures(self)
self.client = Client()
self.editor = get_user_mod... | 0.506836 | 0.130535 |
import time
from binaryninja import (AddressField, BackgroundTaskThread, ChoiceField,
HighlightStandardColor, Settings,
execute_on_main_thread_and_wait, get_form_input, log)
from binaryninjaui import FileContext, LinearView, UIContext, ViewFrame
from emulator.errors im... | emulator/emulatorui/buttons.py | import time
from binaryninja import (AddressField, BackgroundTaskThread, ChoiceField,
HighlightStandardColor, Settings,
execute_on_main_thread_and_wait, get_form_input, log)
from binaryninjaui import FileContext, LinearView, UIContext, ViewFrame
from emulator.errors im... | 0.419172 | 0.090333 |
import unittest
from mapfmclient import MarkedLocation, Problem
from ictsm.solver import solve
"""
Basic single-agent pathfinding tests using top-level 'solve' interface
"""
class SolveTestSingle(unittest.TestCase):
def setUp(self) -> None:
def creator(start, goal):
return Problem(
... | src/test/test_solve.py | import unittest
from mapfmclient import MarkedLocation, Problem
from ictsm.solver import solve
"""
Basic single-agent pathfinding tests using top-level 'solve' interface
"""
class SolveTestSingle(unittest.TestCase):
def setUp(self) -> None:
def creator(start, goal):
return Problem(
... | 0.614857 | 0.770939 |