code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from json import load
import os
from dataiku.customrecipe import get_recipe_config
from commons import (
get_input_output,
create_dataframe_iterator,
ImportFileHandler,
GeneralExportParams,
)
from dku_neo4j.neo4j_handle import RelationshipsExportParams, Neo4jHandle
# --- Setup recipe
recipe_config = ge... | custom-recipes/neo4j-export-relationships/recipe.py | from json import load
import os
from dataiku.customrecipe import get_recipe_config
from commons import (
get_input_output,
create_dataframe_iterator,
ImportFileHandler,
GeneralExportParams,
)
from dku_neo4j.neo4j_handle import RelationshipsExportParams, Neo4jHandle
# --- Setup recipe
recipe_config = ge... | 0.335895 | 0.065217 |
from __future__ import annotations
from discord import Guild
from .. import botState, lib
from ..baseClasses import serializable
from ..cfg import cfg
class BasedGuild(serializable.Serializable):
"""A class representing a guild in discord, and storing extra bot-specific information about it.
:var id: The I... | bot/users/basedGuild.py | from __future__ import annotations
from discord import Guild
from .. import botState, lib
from ..baseClasses import serializable
from ..cfg import cfg
class BasedGuild(serializable.Serializable):
"""A class representing a guild in discord, and storing extra bot-specific information about it.
:var id: The I... | 0.630116 | 0.173148 |
from __future__ import (division, print_function, absolute_import,
unicode_literals)
import logging
from itertools import imap
from osrc.database import get_pipeline, format_key
# The default time-to-live for every key.
DEFAULT_TTL = 2 * 7 * 24 * 60 * 60
TEMP_TTL = 24 * 60 * 60
def set_expi... | set_expire.py |
from __future__ import (division, print_function, absolute_import,
unicode_literals)
import logging
from itertools import imap
from osrc.database import get_pipeline, format_key
# The default time-to-live for every key.
DEFAULT_TTL = 2 * 7 * 24 * 60 * 60
TEMP_TTL = 24 * 60 * 60
def set_expi... | 0.474388 | 0.098209 |
from flask import Flask
from flask_socketio import SocketIO, emit
from si_prefix import si_format
from extensions.settings_storage import SettingsStorage
from extensions.session_manager import get_handler, get_session, set_session, del_session
from esdl.processing import ESDLEcore
from src.esdl_helper import get_port_... | extensions/essim_sensitivity.py |
from flask import Flask
from flask_socketio import SocketIO, emit
from si_prefix import si_format
from extensions.settings_storage import SettingsStorage
from extensions.session_manager import get_handler, get_session, set_session, del_session
from esdl.processing import ESDLEcore
from src.esdl_helper import get_port_... | 0.521959 | 0.094929 |
# This is the combination of several scripts that download data from the NREL NSRDB database
# <NAME> AESE Labs Imperial College. gr3gario on twitter and gregario on github
# <NAME> 29/11/2016 V2 - Updating to reflect new paper format, included ENO algorithm
import pandas as pd
import sys, os, io
import time
from dat... | downloadNREL.py |
# This is the combination of several scripts that download data from the NREL NSRDB database
# <NAME> AESE Labs Imperial College. gr3gario on twitter and gregario on github
# <NAME> 29/11/2016 V2 - Updating to reflect new paper format, included ENO algorithm
import pandas as pd
import sys, os, io
import time
from dat... | 0.18407 | 0.129733 |
import unittest
import sys
sys.path.append("../..")
from holoclean.holoclean import HoloClean, Session
from holoclean.errordetection.sql_dcerrordetector import SqlDCErrorDetection
from holoclean.featurization.initfeaturizer import SignalInit
from pyspark.sql.types import *
holo_obj = HoloClean(
holoclean_path="../... | tests/unit_tests/unittest_initfeaturizer.py | import unittest
import sys
sys.path.append("../..")
from holoclean.holoclean import HoloClean, Session
from holoclean.errordetection.sql_dcerrordetector import SqlDCErrorDetection
from holoclean.featurization.initfeaturizer import SignalInit
from pyspark.sql.types import *
holo_obj = HoloClean(
holoclean_path="../... | 0.281998 | 0.288882 |
import pytest
from assertpy import assert_that
from allocation.allocation_data_builder import AllocationDataBuilder
from allocation.allocation_solver import AllocationSolver
@pytest.mark.django_db
@pytest.mark.parametrize(
"multiple_applications",
(
[
{
"applications": [
... | allocation/tests/test_allocation_solver_baskets.py | import pytest
from assertpy import assert_that
from allocation.allocation_data_builder import AllocationDataBuilder
from allocation.allocation_solver import AllocationSolver
@pytest.mark.django_db
@pytest.mark.parametrize(
"multiple_applications",
(
[
{
"applications": [
... | 0.58747 | 0.470311 |
from __future__ import absolute_import
from copy import deepcopy
from exam import fixture
from django.core.urlresolvers import reverse
from django.utils import timezone
from sentry.assistant import manager
from sentry.models import AssistantActivity
from sentry.testutils import APITestCase
class AssistantActivityT... | tests/sentry/api/endpoints/test_assistant.py | from __future__ import absolute_import
from copy import deepcopy
from exam import fixture
from django.core.urlresolvers import reverse
from django.utils import timezone
from sentry.assistant import manager
from sentry.models import AssistantActivity
from sentry.testutils import APITestCase
class AssistantActivityT... | 0.580233 | 0.368178 |
import os
import glob
import pandas as pd
import argparse
ap = argparse.ArgumentParser()
ap.add_argument("-f", "--folder", required=True, help="Enter into the folder")
args = vars(ap.parse_args())
# First minimization analysis
def analysis_1(score_file_paths):
table_df = pd.DataFrame(columns = ('MODEL', 'BO... | analysis_1.py | import os
import glob
import pandas as pd
import argparse
ap = argparse.ArgumentParser()
ap.add_argument("-f", "--folder", required=True, help="Enter into the folder")
args = vars(ap.parse_args())
# First minimization analysis
def analysis_1(score_file_paths):
table_df = pd.DataFrame(columns = ('MODEL', 'BO... | 0.226698 | 0.183484 |
try:
from ._request_builders_py3 import build_get_complex_type_ref_no_meta_request
from ._request_builders_py3 import build_put_complex_type_ref_no_meta_request
from ._request_builders_py3 import build_get_complex_type_ref_with_meta_request
from ._request_builders_py3 import build_put_complex_type_ref_... | test/vanilla/low-level/Expected/AcceptanceTests/XmlLowLevel/xmlservicelowlevel/rest/xml/__init__.py |
try:
from ._request_builders_py3 import build_get_complex_type_ref_no_meta_request
from ._request_builders_py3 import build_put_complex_type_ref_no_meta_request
from ._request_builders_py3 import build_get_complex_type_ref_with_meta_request
from ._request_builders_py3 import build_put_complex_type_ref_... | 0.274838 | 0.073132 |
import director.applogic as app
from director import lcmUtils
from director import transformUtils
from director import visualization as vis
from director import filterUtils
from director import drcargs
from director.shallowCopy import shallowCopy
from director.timercallback import TimerCallback
from director import vtk... | src/python/director/pointcloudlcm.py | import director.applogic as app
from director import lcmUtils
from director import transformUtils
from director import visualization as vis
from director import filterUtils
from director import drcargs
from director.shallowCopy import shallowCopy
from director.timercallback import TimerCallback
from director import vtk... | 0.326701 | 0.066297 |
from django import forms
from logtoday.models import GoalsCategory, ShortTermGoals, DailyActivity, GoalTasks
class GoalsCreateForm(forms.ModelForm):
goal_category = forms.ChoiceField(widget=forms.Select(attrs={'class': 'btn btn-default'}))
goal_weight = forms.ChoiceField(widget=forms.Select(attrs={'class': '... | logtoday/forms.py | from django import forms
from logtoday.models import GoalsCategory, ShortTermGoals, DailyActivity, GoalTasks
class GoalsCreateForm(forms.ModelForm):
goal_category = forms.ChoiceField(widget=forms.Select(attrs={'class': 'btn btn-default'}))
goal_weight = forms.ChoiceField(widget=forms.Select(attrs={'class': '... | 0.682679 | 0.090615 |
import os
import sys
from subprocess import check_output
class pin_power:
async = 'disabled'
control = 'auto'
runtime_enabled = 'disabled'
runtime_status = 'Unsupported'
runtime_active_kids = 0
runtime_active_time = 0
runtime_suspended_time = 0
runtime_usage = 0
def __str__(self):... | python/get_pin.py | import os
import sys
from subprocess import check_output
class pin_power:
async = 'disabled'
control = 'auto'
runtime_enabled = 'disabled'
runtime_status = 'Unsupported'
runtime_active_kids = 0
runtime_active_time = 0
runtime_suspended_time = 0
runtime_usage = 0
def __str__(self):... | 0.140042 | 0.089415 |
from cached_property import cached_property
from collections import OrderedDict
from onegov.swissvotes.models.vote import SwissVote
class ColumnMapperDataset(object):
""" Defines the columns used in the dataset and provides helper functions.
Typically, you want to iterate over all attributes of a vote (``col... | src/onegov/swissvotes/models/column_mapper.py | from cached_property import cached_property
from collections import OrderedDict
from onegov.swissvotes.models.vote import SwissVote
class ColumnMapperDataset(object):
""" Defines the columns used in the dataset and provides helper functions.
Typically, you want to iterate over all attributes of a vote (``col... | 0.679285 | 0.239789 |
# Lint as: python3
"""Attribution tasks."""
import collections
import enum
from typing import (Any, Callable, List, MutableMapping, Optional, Text, Tuple,
Union)
import graph_nets
import numpy as np
import pandas as pd
import sklearn.preprocessing
import tensorflow as tf
from graph_attribution im... | graph_attribution/tasks.py |
# Lint as: python3
"""Attribution tasks."""
import collections
import enum
from typing import (Any, Callable, List, MutableMapping, Optional, Text, Tuple,
Union)
import graph_nets
import numpy as np
import pandas as pd
import sklearn.preprocessing
import tensorflow as tf
from graph_attribution im... | 0.937311 | 0.468912 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import numpy as np
import json
import os
import torch.utils.data as data
class FDST(data.Dataset):
num_classes = 1
default_resolut... | src/lib/datasets/dataset/FDST.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pycocotools.coco as coco
from pycocotools.cocoeval import COCOeval
import numpy as np
import json
import os
import torch.utils.data as data
class FDST(data.Dataset):
num_classes = 1
default_resolut... | 0.503662 | 0.169028 |
import datetime
import json
import logging
import os
import re
from cbers2stac.layers.common.cbers_2_stac import convert_inpe_to_stac
from cbers2stac.layers.common.utils import get_client
# Get rid of "Found credentials in environment variables" messages
logging.getLogger("botocore.credentials").disabled = True
LOGG... | cbers2stac/process_new_scene_queue/code.py |
import datetime
import json
import logging
import os
import re
from cbers2stac.layers.common.cbers_2_stac import convert_inpe_to_stac
from cbers2stac.layers.common.utils import get_client
# Get rid of "Found credentials in environment variables" messages
logging.getLogger("botocore.credentials").disabled = True
LOGG... | 0.651577 | 0.320742 |
def detect_rhand1():
if rr:
bl,bh,bw = 97,66,57
frms = []
res = rr.detect(camera='rhand')
r.set_joint_angles(rr.get_joint_angles())
for objnum,Tcam_mk in res:
Twld_mk = r.get_link('RARM_JOINT5_Link').where()*r.Trh_cam*Tcam_mk
print 'world->marker:', Tc... | iv_plan/examples/samplepet.py | def detect_rhand1():
if rr:
bl,bh,bw = 97,66,57
frms = []
res = rr.detect(camera='rhand')
r.set_joint_angles(rr.get_joint_angles())
for objnum,Tcam_mk in res:
Twld_mk = r.get_link('RARM_JOINT5_Link').where()*r.Trh_cam*Tcam_mk
print 'world->marker:', Tc... | 0.239705 | 0.296031 |
from aliyunsdkcore.request import RpcRequest
from aliyunsdksmartag.endpoint import endpoint_data
class ModifySagWifiRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'Smartag', '2018-03-13', 'ModifySagWifi','smartag')
self.set_method('POST')
if hasattr(self, "endpoint_map"):
setattr(sel... | aliyun-python-sdk-smartag/aliyunsdksmartag/request/v20180313/ModifySagWifiRequest.py |
from aliyunsdkcore.request import RpcRequest
from aliyunsdksmartag.endpoint import endpoint_data
class ModifySagWifiRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'Smartag', '2018-03-13', 'ModifySagWifi','smartag')
self.set_method('POST')
if hasattr(self, "endpoint_map"):
setattr(sel... | 0.47171 | 0.048519 |
import numpy as np
KINETICS_VALUE = 1
SPECIES_VALUE = 1
SPECIES_PFX = "S"
KINETICS_PFX = "k"
class SequentialModel(object):
def __init__(self, num_reaction, kinetics_values=None,
species_values=None, has_boundaries=True):
"""
Parameters
----------
num_reaction: int
... | controlSBML/sequential_model.py |
import numpy as np
KINETICS_VALUE = 1
SPECIES_VALUE = 1
SPECIES_PFX = "S"
KINETICS_PFX = "k"
class SequentialModel(object):
def __init__(self, num_reaction, kinetics_values=None,
species_values=None, has_boundaries=True):
"""
Parameters
----------
num_reaction: int
... | 0.733738 | 0.353289 |
import requests
import json
from requests.exceptions import HTTPError
STORAGE_INDEX_URL = "http://localhost:9200/cloudify_storage"
BLUEPRINT_SCHEMA = {
'blueprint': {
'properties': {
'plan': {
'enabled': False
}
}
}
}
DEPLOYMENT_SCHEMA = {
'deploym... | tests/testenv/es_schema_creator.py |
import requests
import json
from requests.exceptions import HTTPError
STORAGE_INDEX_URL = "http://localhost:9200/cloudify_storage"
BLUEPRINT_SCHEMA = {
'blueprint': {
'properties': {
'plan': {
'enabled': False
}
}
}
}
DEPLOYMENT_SCHEMA = {
'deploym... | 0.327991 | 0.126704 |
import time
import os
import i3ipc
DELIMITER = ''
DELIMITER_SLIM = ''# ''
ACTIVE_FG = '#BDBDBD'
ACTIVE_BG = '#1D1D1D'
INACTIVE_FG = '#5D5D5D'
INACTIVE_BG = '#1D1D1D'
AFTER_BG = '#1D1D1D'
BEFORE_BG = '#1D1D1D'
WIN_FG = '#BDBDBD'
WIN_BG = '#1D1D1D'
BG = '#00000000'
class i3ws(object):
def __init__(se... | panel/i3ws.py |
import time
import os
import i3ipc
DELIMITER = ''
DELIMITER_SLIM = ''# ''
ACTIVE_FG = '#BDBDBD'
ACTIVE_BG = '#1D1D1D'
INACTIVE_FG = '#5D5D5D'
INACTIVE_BG = '#1D1D1D'
AFTER_BG = '#1D1D1D'
BEFORE_BG = '#1D1D1D'
WIN_FG = '#BDBDBD'
WIN_BG = '#1D1D1D'
BG = '#00000000'
class i3ws(object):
def __init__(se... | 0.097082 | 0.108756 |
import os
import re
import time
import tensorflow as tf
from predict.odps_reader import OdpsTableReader
from predict.odpe_writer import OdpsTableWriter
def get_reader_fn():
""" Automatically get ez_transfer's reader for different env
"""
return OdpsTableReader
def get_writer_fn():
""" Automatically... | predict/app_utils.py | import os
import re
import time
import tensorflow as tf
from predict.odps_reader import OdpsTableReader
from predict.odpe_writer import OdpsTableWriter
def get_reader_fn():
""" Automatically get ez_transfer's reader for different env
"""
return OdpsTableReader
def get_writer_fn():
""" Automatically... | 0.715523 | 0.215877 |
from flask import Flask, request, render_template, redirect
import pathlib, yaml
import os, requests, subprocess, time, sys, click
#removes flask's init messages on CLI
import logging
import warnings
warnings.filterwarnings("ignore")
log = logging.getLogger('werkzeug')
log.setLevel(logging.ERROR)
cli = sys.modules['fl... | morax/auth/auth.py | from flask import Flask, request, render_template, redirect
import pathlib, yaml
import os, requests, subprocess, time, sys, click
#removes flask's init messages on CLI
import logging
import warnings
warnings.filterwarnings("ignore")
log = logging.getLogger('werkzeug')
log.setLevel(logging.ERROR)
cli = sys.modules['fl... | 0.199308 | 0.050988 |
import pywikibot
from pywikibot import pagegenerators
import re
from pywikibot import xmlreader
import collections
from klasa import *
def rzeczownikRodzajNiepotrzebny(data):
data_slownie = data[6] + data[7] + '.' + data[4] + data[5] + '.' + data[0] + data[1] + data[2] + data[3]
lista_stron = getListFromXML(... | rzeczownik_rodzaj_niepotrzebny.py |
import pywikibot
from pywikibot import pagegenerators
import re
from pywikibot import xmlreader
import collections
from klasa import *
def rzeczownikRodzajNiepotrzebny(data):
data_slownie = data[6] + data[7] + '.' + data[4] + data[5] + '.' + data[0] + data[1] + data[2] + data[3]
lista_stron = getListFromXML(... | 0.116098 | 0.188268 |
import rospy
import time
import math
from std_msgs.msg import Bool
from std_msgs.msg import Float32
from std_msgs.msg import Float64
from ackermann_msgs.msg import AckermannDriveStamped
from gazebo_msgs.msg import ModelStates
from deepracer_msgs.msg import Progress
import PID_control
import tf
import pandas as pd
impo... | simulation_ws/src/deepracer_simulation/scripts/pid_controller.py | import rospy
import time
import math
from std_msgs.msg import Bool
from std_msgs.msg import Float32
from std_msgs.msg import Float64
from ackermann_msgs.msg import AckermannDriveStamped
from gazebo_msgs.msg import ModelStates
from deepracer_msgs.msg import Progress
import PID_control
import tf
import pandas as pd
impo... | 0.133161 | 0.159675 |
import argparse
import pickle
import numpy as np
import torch
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import DotProduct, WhiteKernel
from sklearn.gaussian_process.kernels import RBF, ConstantKernel, Matern
from model.unconditional_flow import UnconditionalFl... | experiments/student_teacher/model/baseline.py | import argparse
import pickle
import numpy as np
import torch
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.gaussian_process.kernels import DotProduct, WhiteKernel
from sklearn.gaussian_process.kernels import RBF, ConstantKernel, Matern
from model.unconditional_flow import UnconditionalFl... | 0.525125 | 0.18385 |
import streamlit as st
import altair as alt
from PIL import Image
import pandas as pd
image = Image.open('<You can add any relevant picture here!>')
st.image(image, use_column_width=True)
st.write("""
# DNA Nucleotide Count Web App
This app created by <NAME> counts the nucleotides of query DNA!
***
""... | main.py | import streamlit as st
import altair as alt
from PIL import Image
import pandas as pd
image = Image.open('<You can add any relevant picture here!>')
st.image(image, use_column_width=True)
st.write("""
# DNA Nucleotide Count Web App
This app created by <NAME> counts the nucleotides of query DNA!
***
""... | 0.381911 | 0.237057 |
import BaseHTTPServer
import urlparse
import types
import json
from SocketServer import ThreadingMixIn
import RPi.GPIO as GPIO
import os
import threading
import time
import random
import bluetooth as bt
PORT = 8000 # Listening port
PINS = ( # GPIO pin numbers
22,
18,
16,
12,
11,
13,
5,
... | bot/bot.py | import BaseHTTPServer
import urlparse
import types
import json
from SocketServer import ThreadingMixIn
import RPi.GPIO as GPIO
import os
import threading
import time
import random
import bluetooth as bt
PORT = 8000 # Listening port
PINS = ( # GPIO pin numbers
22,
18,
16,
12,
11,
13,
5,
... | 0.557123 | 0.095181 |
import frappe, erpnext
from frappe import _
def get_level():
activation_level = 0
if frappe.db.get_single_value('System Settings', 'setup_complete'):
activation_level = 1
if frappe.db.count('Item') > 5:
activation_level += 1
if frappe.db.count('Customer') > 5:
activation_level += 1
if frappe.db.count('... | erpnext/utilities/activation.py |
import frappe, erpnext
from frappe import _
def get_level():
activation_level = 0
if frappe.db.get_single_value('System Settings', 'setup_complete'):
activation_level = 1
if frappe.db.count('Item') > 5:
activation_level += 1
if frappe.db.count('Customer') > 5:
activation_level += 1
if frappe.db.count('... | 0.23793 | 0.069668 |
from TwitterAPI import TwitterAPI
from TwitterAPI import TwitterError
import json
import time
class TwitterProcessor(object):
"""
@brief Class for access twitterAPI to get data.
"""
def __init__(self, credentials, proxy_url='socks5://127.0.0.1:1080/'):
super(TwitterProcessor, self).__ini... | src/TwitterProcessor.py | from TwitterAPI import TwitterAPI
from TwitterAPI import TwitterError
import json
import time
class TwitterProcessor(object):
"""
@brief Class for access twitterAPI to get data.
"""
def __init__(self, credentials, proxy_url='socks5://127.0.0.1:1080/'):
super(TwitterProcessor, self).__ini... | 0.575946 | 0.072472 |
from typing import Callable
import pandas as pd
from pandas import DataFrame
from pm4py.objects.log.log import Trace, EventLog
from src.encoding.encoder import PREFIX_
from src.encoding.models import Encoding, TaskGenerationTypes
from src.encoding.simple_index import compute_label_columns, add_labels, get_intercase_a... | src/encoding/complex_last_payload.py | from typing import Callable
import pandas as pd
from pandas import DataFrame
from pm4py.objects.log.log import Trace, EventLog
from src.encoding.encoder import PREFIX_
from src.encoding.models import Encoding, TaskGenerationTypes
from src.encoding.simple_index import compute_label_columns, add_labels, get_intercase_a... | 0.773644 | 0.563438 |
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
from functools import partial
from tqdm import tqdm
import pandas as pd
tqdm.pandas()
# Se concatenan todos los fichero resultantes del primer script
df_cities = pd.concat([pd.read_csv(f'./city_info_{i}.csv', index_col=None, header... | Clean Data/geopy_2.py | from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
from functools import partial
from tqdm import tqdm
import pandas as pd
tqdm.pandas()
# Se concatenan todos los fichero resultantes del primer script
df_cities = pd.concat([pd.read_csv(f'./city_info_{i}.csv', index_col=None, header... | 0.2304 | 0.265666 |
from django.db.models import Q
from django.http import JsonResponse
from django.shortcuts import render
from srv.models import essay_style, writing_task
from srv.service.task_service import TaskService
from utilslibrary.base.base import BaseView
from utilslibrary.utils.date_utils import getDateStr
class WritingTask(... | srv/my_view/task_view.py | from django.db.models import Q
from django.http import JsonResponse
from django.shortcuts import render
from srv.models import essay_style, writing_task
from srv.service.task_service import TaskService
from utilslibrary.base.base import BaseView
from utilslibrary.utils.date_utils import getDateStr
class WritingTask(... | 0.254972 | 0.070592 |
import datetime
import os
import numpy as np
import click
import math
import dill
from models.system_model_v3.model.params.init import params
from models.system_model_v3.model.state_variables.init import state_variables
from models.constants import RAY
from experiments.system_model_v3.configure import configure_exper... | experiments/system_model_v3/experiment_monte_carlo.py | {sweeps=} | 0.425128 | 0.402744 |
import numpy as np
import pickle
import random
def normalize_3d(pose):
# pose: [bsize, 17, 3]
xs = pose[:,:,0:1]
ys = pose[:,:,1:2]
ls = np.sqrt(xs[:,1:]**2 + ys[:,1:]**2)
scale = np.mean(ls, axis=1, keepdims=True)
pose = pose/scale
pose = pose - pose[:,0:1,:]
return pose
def RotationMatrix(phi, gamma, thet... | SUL_torch/example/tcn/data_reader.py | import numpy as np
import pickle
import random
def normalize_3d(pose):
# pose: [bsize, 17, 3]
xs = pose[:,:,0:1]
ys = pose[:,:,1:2]
ls = np.sqrt(xs[:,1:]**2 + ys[:,1:]**2)
scale = np.mean(ls, axis=1, keepdims=True)
pose = pose/scale
pose = pose - pose[:,0:1,:]
return pose
def RotationMatrix(phi, gamma, thet... | 0.24899 | 0.445107 |
import os
from ament_index_python.packages import get_package_share_directory
from catkin_pkg.package import InvalidPackage, PACKAGE_MANIFEST_FILENAME, parse_package
from ros2pkg.api import get_package_names
class GazeboRosPaths:
@staticmethod
def get_paths():
gazebo_model_path = []
gazebo_p... | POC/gazebo_ros_ws/src/gazebo_ros/scripts/gazebo_ros_paths.py | import os
from ament_index_python.packages import get_package_share_directory
from catkin_pkg.package import InvalidPackage, PACKAGE_MANIFEST_FILENAME, parse_package
from ros2pkg.api import get_package_names
class GazeboRosPaths:
@staticmethod
def get_paths():
gazebo_model_path = []
gazebo_p... | 0.225331 | 0.054955 |
CcFuzzingEngineInfo = provider(
doc = """
Provider for storing the specification of a fuzzing engine.
""",
fields = {
"display_name": "A string representing the human-readable name of the fuzzing engine.",
"engine_library_info": "A CcInfo provider for the C++ library of the fuzzing engine.",
... | fuzzing/private/engine.bzl | CcFuzzingEngineInfo = provider(
doc = """
Provider for storing the specification of a fuzzing engine.
""",
fields = {
"display_name": "A string representing the human-readable name of the fuzzing engine.",
"engine_library_info": "A CcInfo provider for the C++ library of the fuzzing engine.",
... | 0.455683 | 0.370112 |
from pprint import pformat
from six import iteritems
class RLSCount(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self):
"""
RLSCount - a model defined in Swagger
:param dict swaggerT... | netapp/santricity/models/symbol/rls_count.py | from pprint import pformat
from six import iteritems
class RLSCount(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self):
"""
RLSCount - a model defined in Swagger
:param dict swaggerT... | 0.885588 | 0.312632 |
import math
import pysam
import sys
from Bio.Alphabet import IUPAC
from Bio.Seq import Seq
def annot_line(line, samfile):
arow = line.strip('\n').split('\t')
chrom = arow[1]
start = int(arow[2])
end = int(arow[3])
reads = [read.is_reverse for read in samfile.fetch(chrom, start, end)]
posstran... | archive/add_strand_to_HOMER.py |
import math
import pysam
import sys
from Bio.Alphabet import IUPAC
from Bio.Seq import Seq
def annot_line(line, samfile):
arow = line.strip('\n').split('\t')
chrom = arow[1]
start = int(arow[2])
end = int(arow[3])
reads = [read.is_reverse for read in samfile.fetch(chrom, start, end)]
posstran... | 0.209551 | 0.364156 |
import csv
from datetime import datetime
import logging
import os
import sys
import arrow
import dropbox
import requests
from sodapy import Socrata
METROBIKE_DROPBOX_TOKEN = os.getenv("METROBIKE_DROPBOX_TOKEN")
SOCRATA_API_KEY_ID = os.getenv("SOCRATA_API_KEY_ID")
SOCRATA_API_KEY_SECRET = os.getenv("SOCRATA_API_KEY_SE... | publish_trips.py | import csv
from datetime import datetime
import logging
import os
import sys
import arrow
import dropbox
import requests
from sodapy import Socrata
METROBIKE_DROPBOX_TOKEN = os.getenv("METROBIKE_DROPBOX_TOKEN")
SOCRATA_API_KEY_ID = os.getenv("SOCRATA_API_KEY_ID")
SOCRATA_API_KEY_SECRET = os.getenv("SOCRATA_API_KEY_SE... | 0.393152 | 0.091058 |
from django.urls import path, re_path
from declaracion.views import (BienesMueblesView, BienesInmueblesView,
MueblesNoRegistrablesView, InversionesView,
EfectivoMetalesView, FideicomisosView,
BienesIntangiblesView, CuentasPorC... | declaraciones/declaracion/urls/activos.py | from django.urls import path, re_path
from declaracion.views import (BienesMueblesView, BienesInmueblesView,
MueblesNoRegistrablesView, InversionesView,
EfectivoMetalesView, FideicomisosView,
BienesIntangiblesView, CuentasPorC... | 0.229794 | 0.181155 |
from athena import ndarray
from athena import gpu_links as gpu_op
from athena import gpu_ops as ad
from athena import initializers as init
from athena import onnx as ax
import onnxruntime as rt
import numpy as np
batch_size=3
rand = np.random.RandomState(seed=123)
ctx=None#ndarray.gpu(0)
def Check(executor,execut... | tests/onnx/test_nodes.py | from athena import ndarray
from athena import gpu_links as gpu_op
from athena import gpu_ops as ad
from athena import initializers as init
from athena import onnx as ax
import onnxruntime as rt
import numpy as np
batch_size=3
rand = np.random.RandomState(seed=123)
ctx=None#ndarray.gpu(0)
def Check(executor,execut... | 0.320502 | 0.467453 |
class Node:
bf: int = 0
height: int = 0 # to query in O(1), this has to be stored in every node
def __init__(self, data=None):
self.left = None
self.right = None
if data is not None:
self.data = data
# core concepts:
# - invariant
# - rotations
c... | Python/Structures/AVL.py | class Node:
bf: int = 0
height: int = 0 # to query in O(1), this has to be stored in every node
def __init__(self, data=None):
self.left = None
self.right = None
if data is not None:
self.data = data
# core concepts:
# - invariant
# - rotations
c... | 0.700383 | 0.443359 |
import glob
import os
from typing import Union
from urllib.parse import urlparse, urlunparse
import pandas as pd
import smart_open
from airflow.hooks.base import BaseHook
from airflow.models import BaseOperator
from astro.constants import DEFAULT_CHUNK_SIZE
from astro.settings import SCHEMA
from astro.sql.table impor... | src/astro/sql/operators/agnostic_load_file.py | import glob
import os
from typing import Union
from urllib.parse import urlparse, urlunparse
import pandas as pd
import smart_open
from airflow.hooks.base import BaseHook
from airflow.models import BaseOperator
from astro.constants import DEFAULT_CHUNK_SIZE
from astro.settings import SCHEMA
from astro.sql.table impor... | 0.657978 | 0.165222 |
import sys
import os
import shlex
from argparse import ArgumentParser
import subprocess
from subprocess import Popen, PIPE, STDOUT
PROGRAM = os.path.abspath(__file__)
SPPAS = os.getenv('SPPAS')
if SPPAS is None:
SPPAS = os.path.dirname(os.path.dirname(os.path.dirname(PROGRAM)))
if os.path.exists(SPPAS) is False:... | sppas/plugins/marsatagplugin/marsatagplugin.py |
import sys
import os
import shlex
from argparse import ArgumentParser
import subprocess
from subprocess import Popen, PIPE, STDOUT
PROGRAM = os.path.abspath(__file__)
SPPAS = os.getenv('SPPAS')
if SPPAS is None:
SPPAS = os.path.dirname(os.path.dirname(os.path.dirname(PROGRAM)))
if os.path.exists(SPPAS) is False:... | 0.343892 | 0.069985 |
import contextlib
import os
import shutil
import tempfile
import unittest
import mock
class CommonTest(unittest.TestCase):
"""
A sub-class of :class:`unittest.TestCase` that provides common
testing functionality.
"""
def _remove_testcase_patches(self):
"""Helper to remove per-testcase pa... | conda_rpms/tests/__init__.py | import contextlib
import os
import shutil
import tempfile
import unittest
import mock
class CommonTest(unittest.TestCase):
"""
A sub-class of :class:`unittest.TestCase` that provides common
testing functionality.
"""
def _remove_testcase_patches(self):
"""Helper to remove per-testcase pa... | 0.590425 | 0.404331 |
from __future__ import annotations
import base64
import binascii
import copy
import hashlib
import json
import secrets
import string
import struct
from functools import reduce
from operator import concat
from typing import Any, Union
from urllib.parse import parse_qsl, urlencode as urlencode_
class FullDict(dict):
... | src/psion/webtools.py | from __future__ import annotations
import base64
import binascii
import copy
import hashlib
import json
import secrets
import string
import struct
from functools import reduce
from operator import concat
from typing import Any, Union
from urllib.parse import parse_qsl, urlencode as urlencode_
class FullDict(dict):
... | 0.894747 | 0.413714 |
import struct
from PyCIP.DataTypesModule.Constants import *
class TransportPacket():
def __init__(self, transport_meta_data=None, encapsulation_header=None, command_specific=None, CPF=None, data=None, CIP=None):
self.response_id = None
self.transport_meta_data = transport_meta_data
self.en... | PyCIP/DataTypesModule/DataTypes.py | import struct
from PyCIP.DataTypesModule.Constants import *
class TransportPacket():
def __init__(self, transport_meta_data=None, encapsulation_header=None, command_specific=None, CPF=None, data=None, CIP=None):
self.response_id = None
self.transport_meta_data = transport_meta_data
self.en... | 0.394084 | 0.196325 |
import luigi
from servicecatalog_puppet.workflow import dependency
from servicecatalog_puppet.workflow.launch import do_terminate_product_task
from servicecatalog_puppet.workflow.launch import provisioning_task
class TerminateProductTask(
provisioning_task.ProvisioningTask, dependency.DependenciesMixin
):
l... | servicecatalog_puppet/workflow/launch/terminate_product_task.py |
import luigi
from servicecatalog_puppet.workflow import dependency
from servicecatalog_puppet.workflow.launch import do_terminate_product_task
from servicecatalog_puppet.workflow.launch import provisioning_task
class TerminateProductTask(
provisioning_task.ProvisioningTask, dependency.DependenciesMixin
):
l... | 0.346099 | 0.106877 |
import unittest
import cnwgl
class TestToroidalNCount(unittest.TestCase):
""" Test related to cell neighbours counting """
def setUp(self):
self.field = [
[1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0],
... | pkg/test_cnwgl.py | import unittest
import cnwgl
class TestToroidalNCount(unittest.TestCase):
""" Test related to cell neighbours counting """
def setUp(self):
self.field = [
[1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0],
... | 0.430387 | 0.777722 |
from copy import deepcopy
from functools import partial
from pathlib import Path
from unittest import TestCase
import panflute as pf
from panflute.tools import convert_text
from amsthm.helper import cancel_repeated_type, merge_consecutive_type, to_type
DIR = Path(__file__).parent
class TestEmph(TestCase):
Elem... | tests/test_emph.py | from copy import deepcopy
from functools import partial
from pathlib import Path
from unittest import TestCase
import panflute as pf
from panflute.tools import convert_text
from amsthm.helper import cancel_repeated_type, merge_consecutive_type, to_type
DIR = Path(__file__).parent
class TestEmph(TestCase):
Elem... | 0.480966 | 0.485478 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Parameter
from torch.autograd import Variable
from functools import wraps
import math
from torch.nn.modules.rnn import RNNCellBase
def _decorate(forward, module, name, name_g, name_v):
@wraps(forward)
d... | util/wn_nn.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Parameter
from torch.autograd import Variable
from functools import wraps
import math
from torch.nn.modules.rnn import RNNCellBase
def _decorate(forward, module, name, name_g, name_v):
@wraps(forward)
d... | 0.905546 | 0.282954 |
import json
import re
import sqlite3
import scrapy
import unicodecsv as csv
from model import *
class LianjiaListSpider(scrapy.Spider):
name = "Lianjia"
def start_requests(self):
urls = []
with open("shanghai.csv", mode='rb') as f:
csv_file = csv.reader(f, encoding='utf-8')
... | code/Crawler_code/lianjia/spiders/LianjieDetailSpider.py | import json
import re
import sqlite3
import scrapy
import unicodecsv as csv
from model import *
class LianjiaListSpider(scrapy.Spider):
name = "Lianjia"
def start_requests(self):
urls = []
with open("shanghai.csv", mode='rb') as f:
csv_file = csv.reader(f, encoding='utf-8')
... | 0.120064 | 0.054124 |
import datetime
import time
import urllib.request
from urllib.error import URLError
from google.protobuf.message import DecodeError
from google.transit import gtfs_realtime_pb2
from util import print_with_time, split_keys
DEFAULT_POLL_FREQUENCY = 30.0 # seconds - feed is updated this often
TRAIN_LINE_TO_FEED_ID =... | mta_data_util.py | import datetime
import time
import urllib.request
from urllib.error import URLError
from google.protobuf.message import DecodeError
from google.transit import gtfs_realtime_pb2
from util import print_with_time, split_keys
DEFAULT_POLL_FREQUENCY = 30.0 # seconds - feed is updated this often
TRAIN_LINE_TO_FEED_ID =... | 0.326486 | 0.128443 |
from os.path import exists
from typing import Callable, Dict, FrozenSet, List, Optional, Sequence, Tuple, Union
import datetime
import enum
import hashlib
import functools
import logging
import os
import pathlib
import shutil
import signal
import subprocess
import socket
import sys
import time
import submitit
import ... | heyhi/util.py |
from os.path import exists
from typing import Callable, Dict, FrozenSet, List, Optional, Sequence, Tuple, Union
import datetime
import enum
import hashlib
import functools
import logging
import os
import pathlib
import shutil
import signal
import subprocess
import socket
import sys
import time
import submitit
import ... | 0.613005 | 0.093637 |
import tensorflow as tf
channel_num = 3
class resnet(object):
def __init__(self, net_name, model_layer, input_h, input_w, batch_size, num_classes, opt):
self.net_name = net_name
self.model_layer_num = model_layer
self.img_h = input_h
self.img_w = input_w
self.input_size = i... | dist-test/resnet.py | import tensorflow as tf
channel_num = 3
class resnet(object):
def __init__(self, net_name, model_layer, input_h, input_w, batch_size, num_classes, opt):
self.net_name = net_name
self.model_layer_num = model_layer
self.img_h = input_h
self.img_w = input_w
self.input_size = i... | 0.768603 | 0.441252 |
import sys, time
from PySide.QtGui import *
from PySide.QtCore import *
from PySide.QtGui import QApplication, QWidget, QIcon
import ipdb
# Our main window class
class SampleWindow(QWidget):
# Constructor function
def __init__(self):
super(SampleWindow, self).__init__()
self.initGUI()
def... | icons_button.py | import sys, time
from PySide.QtGui import *
from PySide.QtCore import *
from PySide.QtGui import QApplication, QWidget, QIcon
import ipdb
# Our main window class
class SampleWindow(QWidget):
# Constructor function
def __init__(self):
super(SampleWindow, self).__init__()
self.initGUI()
def... | 0.371251 | 0.094093 |
r"""
GLUE component modules for single-cell omics data
"""
import collections
from abc import abstractmethod
from typing import Optional, Tuple
import torch
import torch.distributions as D
import torch.nn.functional as F
from ..num import EPS
from . import glue, nn, prob
class GraphEncoder(glue.GraphEncoder):
... | scglue/models/sc.py | r"""
GLUE component modules for single-cell omics data
"""
import collections
from abc import abstractmethod
from typing import Optional, Tuple
import torch
import torch.distributions as D
import torch.nn.functional as F
from ..num import EPS
from . import glue, nn, prob
class GraphEncoder(glue.GraphEncoder):
... | 0.962839 | 0.676967 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.autograd import Variable
from model.zm_predict.usersim import UserSimulator
from model.zm_predict.memory import ReplayMemory
from tools.accuracy_init import init_accuracy_function
from model.loss import MultiLabelSo... | model/zm_predict/dqn.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from torch.autograd import Variable
from model.zm_predict.usersim import UserSimulator
from model.zm_predict.memory import ReplayMemory
from tools.accuracy_init import init_accuracy_function
from model.loss import MultiLabelSo... | 0.693784 | 0.168104 |
import argparse
import logging
import sys
import threading
import time
import uavcan
import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtGui
from ..network.UavcanNode import UavcanNode
from ..network.NodeStatusMonitor import NodeStatusMonitor
from ..network.SetpointPublisher import ControlTop... | tools/studio/cvra_studio/commands/pid_plot.py | import argparse
import logging
import sys
import threading
import time
import uavcan
import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtGui
from ..network.UavcanNode import UavcanNode
from ..network.NodeStatusMonitor import NodeStatusMonitor
from ..network.SetpointPublisher import ControlTop... | 0.490236 | 0.089933 |
import errno
import fcntl
import os
import signal
import socket
import stat
import subprocess
import sys
from asyncio import base_subprocess
from asyncio import constants
from asyncio import events
from . import selector_events
from asyncio import tasks
from asyncio import transports
from asyncio.log import logger
... | gpotato/unix_events.py |
import errno
import fcntl
import os
import signal
import socket
import stat
import subprocess
import sys
from asyncio import base_subprocess
from asyncio import constants
from asyncio import events
from . import selector_events
from asyncio import tasks
from asyncio import transports
from asyncio.log import logger
... | 0.430746 | 0.075858 |
import nltk
from operator import itemgetter
def huffman_tree(text):
coding = nltk.FreqDist(text).items()
coding.sort(key=itemgetter(1))
while len(coding) > 1:
a, b = coding[:2]
pair = (a[0], b[0]), a[1] + b[1]
coding[:2] = [pair]
coding.sort(key=itemgetter(1))
return co... | modules/nltk_contrib/misc/huffman.py |
import nltk
from operator import itemgetter
def huffman_tree(text):
coding = nltk.FreqDist(text).items()
coding.sort(key=itemgetter(1))
while len(coding) > 1:
a, b = coding[:2]
pair = (a[0], b[0]), a[1] + b[1]
coding[:2] = [pair]
coding.sort(key=itemgetter(1))
return co... | 0.245718 | 0.248386 |
from httpretty import HTTPretty, httprettified, activate
import unittest
from pytest import raises
from pyexchange import Exchange2010Service
from pyexchange.connection import ExchangeNTLMAuthConnection
from pyexchange.exceptions import * # noqa
from .fixtures import * # noqa
class Test_ParseEventResponseData(unit... | tests/exchange2010/test_get_event.py | from httpretty import HTTPretty, httprettified, activate
import unittest
from pytest import raises
from pyexchange import Exchange2010Service
from pyexchange.connection import ExchangeNTLMAuthConnection
from pyexchange.exceptions import * # noqa
from .fixtures import * # noqa
class Test_ParseEventResponseData(unit... | 0.574395 | 0.303487 |
from lxml import etree
from requests import Session
from requests.auth import HTTPBasicAuth
import sys
import urllib3
from zeep import Client, Settings, Plugin
from zeep.transports import Transport
from zeep.exceptions import Fault
# Edit .env file to specify your Webex site/user details
import os
from dotenv import ... | axl_doAuthenticateUser.py | from lxml import etree
from requests import Session
from requests.auth import HTTPBasicAuth
import sys
import urllib3
from zeep import Client, Settings, Plugin
from zeep.transports import Transport
from zeep.exceptions import Fault
# Edit .env file to specify your Webex site/user details
import os
from dotenv import ... | 0.223631 | 0.055772 |
import csv
from collections import defaultdict
import genanki
import glob
import os
import random
import re
import sys
import yaml
def main():
print('\nStarting Anki generation...')
call_dir = os.getcwd()
out_dir = 'glossika_output'
audio_dir = os.path.join(out_dir, 'audio')
# Dict to hold langu... | glossika-to-anki/generate_anki.py |
import csv
from collections import defaultdict
import genanki
import glob
import os
import random
import re
import sys
import yaml
def main():
print('\nStarting Anki generation...')
call_dir = os.getcwd()
out_dir = 'glossika_output'
audio_dir = os.path.join(out_dir, 'audio')
# Dict to hold langu... | 0.291787 | 0.057812 |
from itertools import chain, combinations
from itertools import groupby, product
from .kmers import KmerIndex, KmerDBWrapper
class SeedIndex(KmerDBWrapper):
"""An index for seeds in diagonal coordinates.
Attributes:
S (biseqt.sequence.Sequence): The 1st sequence.
T (biseqt.sequence.Sequence)... | biseqt/seeds.py | from itertools import chain, combinations
from itertools import groupby, product
from .kmers import KmerIndex, KmerDBWrapper
class SeedIndex(KmerDBWrapper):
"""An index for seeds in diagonal coordinates.
Attributes:
S (biseqt.sequence.Sequence): The 1st sequence.
T (biseqt.sequence.Sequence)... | 0.844345 | 0.329149 |
import os
import os.path
import ntpath
import argparse
'''
USAGE: python
perl -lane '$c=$1 if /^LOCUS\s+(\S+)/;s/^ACCESSION\s+/ACCESSION $c/; s/^VERSION/VERSION $c\.1/;s/Elanco\://g;s/^DEFINITION (\W+)/$1/;if (/(DEFINITION\s+\S+ \S+)/){$_=$1};s/Unclassified./Bacteria; Actinobacteria; Streptomycetale... | bin/gbk2selector.py | import os
import os.path
import ntpath
import argparse
'''
USAGE: python
perl -lane '$c=$1 if /^LOCUS\s+(\S+)/;s/^ACCESSION\s+/ACCESSION $c/; s/^VERSION/VERSION $c\.1/;s/Elanco\://g;s/^DEFINITION (\W+)/$1/;if (/(DEFINITION\s+\S+ \S+)/){$_=$1};s/Unclassified./Bacteria; Actinobacteria; Streptomycetale... | 0.174059 | 0.047736 |
import random
import unittest
import numpy as np
from ml.rl.test.gridworld.gridworld_base import DISCOUNT
from ml.rl.test.gridworld.gridworld_continuous import GridworldContinuous
from ml.rl.test.gridworld.gridworld_continuous_enum import GridworldContinuousEnum
from ml.rl.test.gridworld.gridworld_evaluator import Gr... | Section_6_BlueWhale/ml/rl/test/gridworld/test_gridworld_parametric.py |
import random
import unittest
import numpy as np
from ml.rl.test.gridworld.gridworld_base import DISCOUNT
from ml.rl.test.gridworld.gridworld_continuous import GridworldContinuous
from ml.rl.test.gridworld.gridworld_continuous_enum import GridworldContinuousEnum
from ml.rl.test.gridworld.gridworld_evaluator import Gr... | 0.753829 | 0.46952 |
import rospy
import std_msgs.msg as ros_msg
from needybot.lib.logger import *
from needybot.lib.patterns import Singleton
from needybot_srvs.srv import *
class NeedybotBlackboard(object):
"""
Defines a singleton for storing properties across nodes.
Propertties that are defined are stored as rosparams so... | src/needybot/lib/needybot_blackboard.py | import rospy
import std_msgs.msg as ros_msg
from needybot.lib.logger import *
from needybot.lib.patterns import Singleton
from needybot_srvs.srv import *
class NeedybotBlackboard(object):
"""
Defines a singleton for storing properties across nodes.
Propertties that are defined are stored as rosparams so... | 0.758779 | 0.178526 |
import datetime
from typing import List
from .resources import DataPoint, DataPoints, TimeSeries, TimeSeriesList
from ._utils import to_omnia_datetime_string
class TimeSeriesAPI(object):
"""
Timeseries API client
Parameters
----------
omnia_client : OmniaClient
Omnia client
"""
_r... | omnia_timeseries_sdk/timeseries.py | import datetime
from typing import List
from .resources import DataPoint, DataPoints, TimeSeries, TimeSeriesList
from ._utils import to_omnia_datetime_string
class TimeSeriesAPI(object):
"""
Timeseries API client
Parameters
----------
omnia_client : OmniaClient
Omnia client
"""
_r... | 0.881519 | 0.37202 |
from flask import Response, Blueprint, request
from mash_place_api import cache
from mash_place_api.models import WestminsterConstituency, County, LondonAssemblyConstituency
from flask_negotiate import produces
import json
boundaries_bp = Blueprint('boundaries', __name__)
@boundaries_bp.route('/', methods=['GET'])
@... | mash_place_api/boundaries/views.py | from flask import Response, Blueprint, request
from mash_place_api import cache
from mash_place_api.models import WestminsterConstituency, County, LondonAssemblyConstituency
from flask_negotiate import produces
import json
boundaries_bp = Blueprint('boundaries', __name__)
@boundaries_bp.route('/', methods=['GET'])
@... | 0.408985 | 0.080719 |
import logging
import os
import re
import sys
from datetime import datetime
from inspect import getargspec
try:
string = basestring
except NameError:
string = str
def call_with_supported_params(callable, *args, **params):
arguments = getargspec(callable)[0]
for key in list(params):
if key not ... | mesh/util.py | import logging
import os
import re
import sys
from datetime import datetime
from inspect import getargspec
try:
string = basestring
except NameError:
string = str
def call_with_supported_params(callable, *args, **params):
arguments = getargspec(callable)[0]
for key in list(params):
if key not ... | 0.288268 | 0.075346 |
from __future__ import print_function
from __future__ import absolute_import
import logging
from yardstick.benchmark.scenarios import base
import yardstick.common.openstack_utils as op_utils
LOG = logging.getLogger(__name__)
class GetServer(base.Scenario):
"""Get a server instance
Parameters
server_id ... | yardstick/benchmark/scenarios/lib/get_server.py |
from __future__ import print_function
from __future__ import absolute_import
import logging
from yardstick.benchmark.scenarios import base
import yardstick.common.openstack_utils as op_utils
LOG = logging.getLogger(__name__)
class GetServer(base.Scenario):
"""Get a server instance
Parameters
server_id ... | 0.659953 | 0.087058 |
import inspect
import re
from pathlib import Path
from typing import List, Optional, TypeVar
import pytest # type:ignore[import]
from bo4e.enum import anrede
from bo4e.enum.strenum import StrEnum
class TestEnums:
"""
A test class that checks the enum construction.
"""
starts_with_whitespace_patter... | tests/test_enums.py | import inspect
import re
from pathlib import Path
from typing import List, Optional, TypeVar
import pytest # type:ignore[import]
from bo4e.enum import anrede
from bo4e.enum.strenum import StrEnum
class TestEnums:
"""
A test class that checks the enum construction.
"""
starts_with_whitespace_patter... | 0.710025 | 0.303196 |
import os, sys, re
"""
Usage:
$ python fix_string_idiocy.py path/to/your.dme .dm
NOTE: NOT PERFECT, CREATES code-fixed DIRECTORY.
*** MERGE THIS MANUALLY OR YOU WILL BREAK SHIT. ***
fix_string_idiocy.py - Combines multiple string append operations in DreamMaker code
Copyright 2013 Rob "N3X15" Nelson <<EMAI... | scripts/checkForStringIdiocy.py | import os, sys, re
"""
Usage:
$ python fix_string_idiocy.py path/to/your.dme .dm
NOTE: NOT PERFECT, CREATES code-fixed DIRECTORY.
*** MERGE THIS MANUALLY OR YOU WILL BREAK SHIT. ***
fix_string_idiocy.py - Combines multiple string append operations in DreamMaker code
Copyright 2013 Rob "N3X15" Nelson <<EMAI... | 0.121634 | 0.139719 |
import json
import uuid
import pytest
import logging
import collections
import requests_mock
from ucloud.client import Client
from ucloud.core import exc
from ucloud.core.transport import RequestsTransport, http
from ucloud.testing.mock import MockedTransport
from tests.test_unit.test_core import consts
logger = lo... | tests/test_unit/test_core/test_client.py | import json
import uuid
import pytest
import logging
import collections
import requests_mock
from ucloud.client import Client
from ucloud.core import exc
from ucloud.core.transport import RequestsTransport, http
from ucloud.testing.mock import MockedTransport
from tests.test_unit.test_core import consts
logger = lo... | 0.395718 | 0.252488 |
__author__ = "<NAME> (<EMAIL>)"
__version__ = "0.2"
__copyright__ = "Copyright (c) 2020 Augusto Damasceno"
__license__ = "2-Clause BSD License"
from scipy.stats import norm
import numpy as np
def sample_size_z(z, std, max_error):
"""
Return the sample size required for the specified z-multiplier, standard de... | myds/clt.py | __author__ = "<NAME> (<EMAIL>)"
__version__ = "0.2"
__copyright__ = "Copyright (c) 2020 Augusto Damasceno"
__license__ = "2-Clause BSD License"
from scipy.stats import norm
import numpy as np
def sample_size_z(z, std, max_error):
"""
Return the sample size required for the specified z-multiplier, standard de... | 0.934984 | 0.663287 |
import itertools
import json
import logging
from django.conf import settings
from django.core.cache import cache
from django.utils.module_loading import import_string
from .decoder import Decoder
from .exceptions import UnknownBlock
from .models import CACHE_UPDATE_KEY, Daemon, FailedEventLog
from .utils import HexJs... | django_ethereum_events/event_listener.py | import itertools
import json
import logging
from django.conf import settings
from django.core.cache import cache
from django.utils.module_loading import import_string
from .decoder import Decoder
from .exceptions import UnknownBlock
from .models import CACHE_UPDATE_KEY, Daemon, FailedEventLog
from .utils import HexJs... | 0.811228 | 0.122996 |
ghenv.Component.Name = "Honeybee_Create CSV Schedule"
ghenv.Component.NickName = 'csvSchedule'
ghenv.Component.Message = 'VER 0.0.55\nSEP_11_2014'
ghenv.Component.Category = "Honeybee"
ghenv.Component.SubCategory = "07 | Energy | Schedule"
#compatibleHBVersion = VER 0.0.55\nAUG_25_2014
#compatibleLBVersion = VER 0.0.58... | src/Honeybee_Create CSV Schedule.py | ghenv.Component.Name = "Honeybee_Create CSV Schedule"
ghenv.Component.NickName = 'csvSchedule'
ghenv.Component.Message = 'VER 0.0.55\nSEP_11_2014'
ghenv.Component.Category = "Honeybee"
ghenv.Component.SubCategory = "07 | Energy | Schedule"
#compatibleHBVersion = VER 0.0.55\nAUG_25_2014
#compatibleLBVersion = VER 0.0.58... | 0.380874 | 0.283055 |
import os
if os.name == "nt":
from quodlibet.plugins import PluginNotSupportedError
raise PluginNotSupportedError
import time
try:
import __builtin__
# zeitgeist overrides our gettext functions
old_builtin = __builtin__.__dict__.copy()
from zeitgeist.client import ZeitgeistClient
from ze... | stdlib2-src/dist-packages/quodlibet/ext/events/zeitgeist_client.py |
import os
if os.name == "nt":
from quodlibet.plugins import PluginNotSupportedError
raise PluginNotSupportedError
import time
try:
import __builtin__
# zeitgeist overrides our gettext functions
old_builtin = __builtin__.__dict__.copy()
from zeitgeist.client import ZeitgeistClient
from ze... | 0.333286 | 0.076511 |
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
class SamplePool:
def __init__(self, *, _parent=None, _parent_idx=None, **slots):
self._parent = _parent
self._parent_idx = _parent_idx
self._slot_names = slots.keys()
s... | lib/utils_vis.py | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
class SamplePool:
def __init__(self, *, _parent=None, _parent_idx=None, **slots):
self._parent = _parent
self._parent_idx = _parent_idx
self._slot_names = slots.keys()
s... | 0.876317 | 0.471345 |
import unittest
import tempfile
import os
from unittest import mock
from ansible_project_init import ansible_vault_init
from ansible_project_init import ansible_vault_crypt
class AnsibleVaultInitTest(unittest.TestCase):
def test_get_vault_id(self):
self.assertEqual(
'foo@bar',
an... | test/test_anisble_vault_init.py | import unittest
import tempfile
import os
from unittest import mock
from ansible_project_init import ansible_vault_init
from ansible_project_init import ansible_vault_crypt
class AnsibleVaultInitTest(unittest.TestCase):
def test_get_vault_id(self):
self.assertEqual(
'foo@bar',
an... | 0.422743 | 0.240881 |
# Print an introductory line
print('You want to purchase a $1MM home. In order to do so, you first need')
print('to save up 25%, and wish to do so in 36 months. This program will')
print('determine what amount of monthly salary should be saved to meet this goal')
# Begin by getting the basic input from the user
# As... | ps1/ps1c.py | # Print an introductory line
print('You want to purchase a $1MM home. In order to do so, you first need')
print('to save up 25%, and wish to do so in 36 months. This program will')
print('determine what amount of monthly salary should be saved to meet this goal')
# Begin by getting the basic input from the user
# As... | 0.354768 | 0.460592 |
def GET_ALG_CLASS(x): return (x & (7 << 13))
def GET_ALG_TYPE(x): return (x & (15 << 9))
def GET_ALG_SID(x): return (x & (511))
ALG_CLASS_ANY = (0)
ALG_CLASS_SIGNATURE = (1 << 13)
ALG_CLASS_MSG_ENCRYPT = (2 << 13)
ALG_CLASS_DATA_ENCRYPT = (3 << 13)
ALG_CLASS_HASH = (4 << 13)
ALG_CLASS_KEY_EXCHANGE = (5 <<... | Lib/site-packages/win32/lib/win32cryptcon.py | def GET_ALG_CLASS(x): return (x & (7 << 13))
def GET_ALG_TYPE(x): return (x & (15 << 9))
def GET_ALG_SID(x): return (x & (511))
ALG_CLASS_ANY = (0)
ALG_CLASS_SIGNATURE = (1 << 13)
ALG_CLASS_MSG_ENCRYPT = (2 << 13)
ALG_CLASS_DATA_ENCRYPT = (3 << 13)
ALG_CLASS_HASH = (4 << 13)
ALG_CLASS_KEY_EXCHANGE = (5 <<... | 0.20466 | 0.149376 |
from django.db import models
from django.utils.timezone import now
import datetime
from django.contrib.auth.models import Permission
from django.contrib.contenttypes.models import ContentType
from esmond.util import datetime_to_unixtime, remove_metachars, max_datetime, atencode
class DeviceTag(models.Model):
"""... | esmond/api/models.py | from django.db import models
from django.utils.timezone import now
import datetime
from django.contrib.auth.models import Permission
from django.contrib.contenttypes.models import ContentType
from esmond.util import datetime_to_unixtime, remove_metachars, max_datetime, atencode
class DeviceTag(models.Model):
"""... | 0.76207 | 0.254175 |
import logging
from datetime import datetime
from typing import TYPE_CHECKING
import voluptuous as vol
from homecontrol.dependencies.entity_types import Item, ModuleDef
from homecontrol.dependencies.item_manager import StorageEntry
from homecontrol.dependencies.state_proxy import StateDef
if TYPE_CHECKING:
from ... | homecontrol/modules/location/module.py | import logging
from datetime import datetime
from typing import TYPE_CHECKING
import voluptuous as vol
from homecontrol.dependencies.entity_types import Item, ModuleDef
from homecontrol.dependencies.item_manager import StorageEntry
from homecontrol.dependencies.state_proxy import StateDef
if TYPE_CHECKING:
from ... | 0.695958 | 0.161916 |
import torch
from tqdm import tqdm
import time
class Trainer:
def __init__(
self,
model,
dataset,
loss_fn,
accuracy_fn=None,
steps_per_epoch=100,
test_steps_per_epoch=20,
learning_rate=1e-3,
batch_size=2,... | universal_computation/trainer.py | import torch
from tqdm import tqdm
import time
class Trainer:
def __init__(
self,
model,
dataset,
loss_fn,
accuracy_fn=None,
steps_per_epoch=100,
test_steps_per_epoch=20,
learning_rate=1e-3,
batch_size=2,... | 0.808861 | 0.436622 |
# This script builds a html document from a html template and markdown files with json metadata.
# Call the script with -h to see help/documentation.
import re
import os
import sys
import json
import markdown
import optparse
def openFile(file):
with open(file, 'r') as openedFile:
return openedFile.read()
def wr... | markdownSite.py |
# This script builds a html document from a html template and markdown files with json metadata.
# Call the script with -h to see help/documentation.
import re
import os
import sys
import json
import markdown
import optparse
def openFile(file):
with open(file, 'r') as openedFile:
return openedFile.read()
def wr... | 0.276105 | 0.07971 |
import json
import os
import pandas as pd
class UpgradedComponentCollector:
"""Collects upgraded component information from a PyDssSimulation job."""
UPGRADES_FILE = "Scenarios/ThermalUpgrade/PostProcess/Processed_upgrades.json"
def __init__(self, job, job_dir, pydss_results):
"""Constructs Up... | disco/analysis/upgraded_component_collector.py |
import json
import os
import pandas as pd
class UpgradedComponentCollector:
"""Collects upgraded component information from a PyDssSimulation job."""
UPGRADES_FILE = "Scenarios/ThermalUpgrade/PostProcess/Processed_upgrades.json"
def __init__(self, job, job_dir, pydss_results):
"""Constructs Up... | 0.68342 | 0.261461 |
import os
import pandas as pd
import numpy as np
import altair as alt
import pydeck as pdk
from pywebvue import App
from pywebvue.modules import VegaEmbed, Deck
# -----------------------------------------------------------------------------
# App Setup
# --------------------------------------------------------------... | examples/PlainPython/GeoMaps/UberPickupsNYC/app.py |
import os
import pandas as pd
import numpy as np
import altair as alt
import pydeck as pdk
from pywebvue import App
from pywebvue.modules import VegaEmbed, Deck
# -----------------------------------------------------------------------------
# App Setup
# --------------------------------------------------------------... | 0.449634 | 0.246658 |
from datetime import datetime
from unittest.mock import MagicMock, patch
import requests
from PyQt5.QtGui import QDesktopServices
from UM.Preferences import Preferences
from cura.OAuth2.AuthorizationHelpers import AuthorizationHelpers, TOKEN_TIMESTAMP_FORMAT
from cura.OAuth2.AuthorizationService import Authorization... | Cura/Cura/tests/TestOAuth2.py | from datetime import datetime
from unittest.mock import MagicMock, patch
import requests
from PyQt5.QtGui import QDesktopServices
from UM.Preferences import Preferences
from cura.OAuth2.AuthorizationHelpers import AuthorizationHelpers, TOKEN_TIMESTAMP_FORMAT
from cura.OAuth2.AuthorizationService import Authorization... | 0.566258 | 0.152631 |
import numpy as np
import cvxpy as cp
from logging import getLogger
from .constants import DEV_H
from .errors import DeviceSpecError, LoadSpecError, GenSpecError, StorageSpecError
logger = getLogger(__file__)
class Device(object):
"""
A electric device connected to an electric power grid.
Attributes
... | gym_anm/simulator/components/devices.py | import numpy as np
import cvxpy as cp
from logging import getLogger
from .constants import DEV_H
from .errors import DeviceSpecError, LoadSpecError, GenSpecError, StorageSpecError
logger = getLogger(__file__)
class Device(object):
"""
A electric device connected to an electric power grid.
Attributes
... | 0.823257 | 0.564399 |
import numpy as np
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras import backend as keras
from data import dataProcess
class myUnet(object):
def __init__(self, img_rows = 360, img_cols = 480):
self.... | sample/unet.py | import numpy as np
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from keras.callbacks import ModelCheckpoint, LearningRateScheduler
from keras import backend as keras
from data import dataProcess
class myUnet(object):
def __init__(self, img_rows = 360, img_cols = 480):
self.... | 0.694717 | 0.613323 |
import json
import logging
import os
import pytest
from openff.evaluator.attributes import UNDEFINED
from openff.evaluator.datasets import PhysicalPropertyDataSet
from openff.evaluator.properties import Density
from openff.toolkit.typing.engines.smirnoff import ForceField as OFFForceField
from nonbonded.library.facto... | nonbonded/tests/library/factories/inputs/test_optimization.py | import json
import logging
import os
import pytest
from openff.evaluator.attributes import UNDEFINED
from openff.evaluator.datasets import PhysicalPropertyDataSet
from openff.evaluator.properties import Density
from openff.toolkit.typing.engines.smirnoff import ForceField as OFFForceField
from nonbonded.library.facto... | 0.670393 | 0.327789 |
from typing import List
from os.path import join
from json import load
from models.pkmn.PokemonBaseModel import PokemonBaseModel
from models.pkmn.stats.StatsDict import StatsDict
from models.pkmn.types.PokemonType import PokemonType
from models.pkmn.natures.PokemonNature import PokemonNature
from models.pkmn.moves.Pok... | models/pkmn/PokemonModel.py | from typing import List
from os.path import join
from json import load
from models.pkmn.PokemonBaseModel import PokemonBaseModel
from models.pkmn.stats.StatsDict import StatsDict
from models.pkmn.types.PokemonType import PokemonType
from models.pkmn.natures.PokemonNature import PokemonNature
from models.pkmn.moves.Pok... | 0.733261 | 0.179369 |
from homeassistant.components.binary_sensor import DOMAIN as BINARY_SENSOR_DOMAIN
from homeassistant.components.climate import DOMAIN as CLIMATE_DOMAIN
from homeassistant.components.fan import DOMAIN as FAN_DOMAIN
from homeassistant.components.light import DOMAIN as LIGHT_DOMAIN
from homeassistant.components.sensor im... | custom_components/skorea_wallpad/const.py |
from homeassistant.components.binary_sensor import DOMAIN as BINARY_SENSOR_DOMAIN
from homeassistant.components.climate import DOMAIN as CLIMATE_DOMAIN
from homeassistant.components.fan import DOMAIN as FAN_DOMAIN
from homeassistant.components.light import DOMAIN as LIGHT_DOMAIN
from homeassistant.components.sensor im... | 0.392919 | 0.046616 |
import random
import requests
from faker import Faker
from time import sleep
BASE_URL = 'http://127.0.0.1:8000'
DEV_PASSWD = '<PASSWORD>'
faker = Faker(['pt_BR'])
def get_headers():
return {'content-type': 'application/json'}
def signup():
headers = get_headers()
email_list = get_email_list()
for ... | misc/populate_db.py | import random
import requests
from faker import Faker
from time import sleep
BASE_URL = 'http://127.0.0.1:8000'
DEV_PASSWD = '<PASSWORD>'
faker = Faker(['pt_BR'])
def get_headers():
return {'content-type': 'application/json'}
def signup():
headers = get_headers()
email_list = get_email_list()
for ... | 0.192957 | 0.068913 |
from time import time
from sys import exit
from .decoder import bin_to_decimal
from mysql import connector as mysqlconnector
def open_mysql_connection(user, db, password, autocommit=True):
try:
sql_con = mysqlconnector.connect(user=user, db=db, password=password)
sql_con.autocommit = True
... | AmbP3/write.py | from time import time
from sys import exit
from .decoder import bin_to_decimal
from mysql import connector as mysqlconnector
def open_mysql_connection(user, db, password, autocommit=True):
try:
sql_con = mysqlconnector.connect(user=user, db=db, password=password)
sql_con.autocommit = True
... | 0.207375 | 0.116966 |
import os.path
from argparse import ArgumentTypeError
from ..config import Config
def check_filetype(filepath):
_, ext = filepath.rsplit('.', 1)
if ext == 'json':
return 'json'
elif ext in ['yaml', 'yml']:
try:
import yaml # noqa
return 'yaml'
except Impo... | src/assetvendor/commands/base.py | import os.path
from argparse import ArgumentTypeError
from ..config import Config
def check_filetype(filepath):
_, ext = filepath.rsplit('.', 1)
if ext == 'json':
return 'json'
elif ext in ['yaml', 'yml']:
try:
import yaml # noqa
return 'yaml'
except Impo... | 0.534855 | 0.103341 |