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 __future__ import unicode_literals
import io
from future.utils import itervalues
from mock import patch
from snips_nlu.constants import (
RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_SLOTS, RES_VALUE,
RANDOM_STATE)
from snips_nlu.dataset import Dataset
from snips_nlu.exceptions import IntentNotFoundErro... | snips_nlu/tests/test_probabilistic_intent_parser.py | from __future__ import unicode_literals
import io
from future.utils import itervalues
from mock import patch
from snips_nlu.constants import (
RES_ENTITY, RES_INTENT, RES_INTENT_NAME, RES_SLOTS, RES_VALUE,
RANDOM_STATE)
from snips_nlu.dataset import Dataset
from snips_nlu.exceptions import IntentNotFoundErro... | 0.631481 | 0.352536 |
# using unfinished example classes
# pylint: disable=too-few-public-methods
import copy
import pickle
# category: copy
def copy_method():
"""copy.copy(obj): Copy the content of an item."""
class _Copyable:
def __init__(self, value):
self.value = value
def __copy__(self):
... | pyhow/samples/impl/serializables.py |
# using unfinished example classes
# pylint: disable=too-few-public-methods
import copy
import pickle
# category: copy
def copy_method():
"""copy.copy(obj): Copy the content of an item."""
class _Copyable:
def __init__(self, value):
self.value = value
def __copy__(self):
... | 0.789234 | 0.308047 |
import os
from mkultra.soft_prompt import SoftPrompt
import torch
import json
def test_json(inference_resources):
model, tokenizer = inference_resources
# Arrange
sp_a = SoftPrompt.from_string(" a b c d e f g", model=model, tokenizer=tokenizer)
# Act
sp_str = sp_a.to_json()
sp_b = SoftPrompt.... | mkultra/tests/io_test.py | import os
from mkultra.soft_prompt import SoftPrompt
import torch
import json
def test_json(inference_resources):
model, tokenizer = inference_resources
# Arrange
sp_a = SoftPrompt.from_string(" a b c d e f g", model=model, tokenizer=tokenizer)
# Act
sp_str = sp_a.to_json()
sp_b = SoftPrompt.... | 0.64969 | 0.345078 |
import pickle
import cv2 as cv
from mine_topological_map.graph import Graph, Node
import numpy as np
import networkx
import math
from torch import save
import os
# mouse callback function
cv.destroyAllWindows()
COLORS = {"none": (100, 85, 82),
"background": (143, 130, 116),
"base_node_color": (20... | mine_topological_map/mine_topological_map/drawing.py | import pickle
import cv2 as cv
from mine_topological_map.graph import Graph, Node
import numpy as np
import networkx
import math
from torch import save
import os
# mouse callback function
cv.destroyAllWindows()
COLORS = {"none": (100, 85, 82),
"background": (143, 130, 116),
"base_node_color": (20... | 0.452536 | 0.203075 |
import json
from alipay.aop.api.constant.ParamConstants import *
class GfacConsolidationEntryLineDTO(object):
def __init__(self):
self._biz_bill_nos_map = None
self._biz_elements = None
self._direction = None
self._is_fa_entry = None
self._is_ma_entry = None
self.... | alipay/aop/api/domain/GfacConsolidationEntryLineDTO.py | import json
from alipay.aop.api.constant.ParamConstants import *
class GfacConsolidationEntryLineDTO(object):
def __init__(self):
self._biz_bill_nos_map = None
self._biz_elements = None
self._direction = None
self._is_fa_entry = None
self._is_ma_entry = None
self.... | 0.454109 | 0.13612 |
__requires__ = ['SQLAlchemy >= 0.7']
import pkg_resources
import unittest
import subprocess
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(
os.path.abspath(__file__)), '..'))
import mirrormanager2.lib
import tests
FOLDER = os.path.dirname(os.path.abspath(__file__))
CONFIG = """
DB_URL =... | tests/test_umdl.py | __requires__ = ['SQLAlchemy >= 0.7']
import pkg_resources
import unittest
import subprocess
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(
os.path.abspath(__file__)), '..'))
import mirrormanager2.lib
import tests
FOLDER = os.path.dirname(os.path.abspath(__file__))
CONFIG = """
DB_URL =... | 0.345768 | 0.232267 |
from pypal import private_globals as _pal
import ctypes as c
import weakref
from bodybase import BodyBase
class Body(BodyBase):
def set_position(self, pos, rot=(0, 0, 0)):
"""
Sets the position of the body and its orientation.
Parameters:
pos: ``float[3]`` The x, y, z, position of... | pypal/body/body.py | from pypal import private_globals as _pal
import ctypes as c
import weakref
from bodybase import BodyBase
class Body(BodyBase):
def set_position(self, pos, rot=(0, 0, 0)):
"""
Sets the position of the body and its orientation.
Parameters:
pos: ``float[3]`` The x, y, z, position of... | 0.87035 | 0.609495 |
import base64
import logging
import pickle
import psycopg2.extensions
import select
import time
from django import db
from django.db import connection
from django.db import models
from satori.core.dbev.events import registry
from satori.events import Event
from satori.core.models import Entity
def row_to_dict(cursor,... | satori.core/satori/core/dbev/notifier.py | import base64
import logging
import pickle
import psycopg2.extensions
import select
import time
from django import db
from django.db import connection
from django.db import models
from satori.core.dbev.events import registry
from satori.events import Event
from satori.core.models import Entity
def row_to_dict(cursor,... | 0.233095 | 0.088544 |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
# TEST ... | sdk/attestation/azure-security-attestation/tests/test_policy_getset_async.py |
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
# TEST ... | 0.855429 | 0.254519 |
import datetime
import time
from urllib import urlencode
from django.core.cache import cache
from django.db.models import Count, Q
from django.shortcuts import render_to_response
from django.template import RequestContext
from thing.models import ServerStatus
def render_page(template, data, request, character_ids=... | thing/stuff.py |
import datetime
import time
from urllib import urlencode
from django.core.cache import cache
from django.db.models import Count, Q
from django.shortcuts import render_to_response
from django.template import RequestContext
from thing.models import ServerStatus
def render_page(template, data, request, character_ids=... | 0.416203 | 0.127761 |
import warnings
from collections.abc import Iterable
from itertools import chain
import torch
from torch.utils.data import DataLoader, Dataset
def parse_init_arg(arg):
if isinstance(arg, Dataset):
data, labels = next(iter(DataLoader(arg, batch_size=len(arg))))
# data = data.view(len(arg), -1) # ... | prototorch/components/initializers.py | import warnings
from collections.abc import Iterable
from itertools import chain
import torch
from torch.utils.data import DataLoader, Dataset
def parse_init_arg(arg):
if isinstance(arg, Dataset):
data, labels = next(iter(DataLoader(arg, batch_size=len(arg))))
# data = data.view(len(arg), -1) # ... | 0.825308 | 0.407982 |
# Standard library
import sys
import json
# 3rd party packages
# Local source
from parametrization_clean.infrastructure.config.default import DefaultSettings
from parametrization_clean.infrastructure.exception.exception import ConfigurationError
# Note: the following imports are required so that python can use the re... | parametrization_clean/infrastructure/config/local.py | # Standard library
import sys
import json
# 3rd party packages
# Local source
from parametrization_clean.infrastructure.config.default import DefaultSettings
from parametrization_clean.infrastructure.exception.exception import ConfigurationError
# Note: the following imports are required so that python can use the re... | 0.370567 | 0.117826 |
import asyncio
import serial
from . import AbstractAsyncWrapper
class Serial(AbstractAsyncWrapper):
"""
asyncserial is a simple wrapper for the pyserial library to provide async functionality.
It is transparent to the pyserial interface and supports all parameters.
You can e.g. create a connection b... | asyncserial/async_serial_wrapper.py |
import asyncio
import serial
from . import AbstractAsyncWrapper
class Serial(AbstractAsyncWrapper):
"""
asyncserial is a simple wrapper for the pyserial library to provide async functionality.
It is transparent to the pyserial interface and supports all parameters.
You can e.g. create a connection b... | 0.704668 | 0.173393 |
import sys
import logging
import os
import cv2
from utils import write_image, key_action, init_cam
from models.transferred_model import predict_class
from datetime import datetime
if __name__ == "__main__":
# folder to write images to
out_folder = sys.argv[1]
# maybe you need this
os.environ['KMP_D... | imageclassifier/capture.py | import sys
import logging
import os
import cv2
from utils import write_image, key_action, init_cam
from models.transferred_model import predict_class
from datetime import datetime
if __name__ == "__main__":
# folder to write images to
out_folder = sys.argv[1]
# maybe you need this
os.environ['KMP_D... | 0.231701 | 0.138113 |
from userbot import bot
from sys import argv
import sys
from telethon.errors.rpcerrorlist import PhoneNumberInvalidError
import os
from telethon import TelegramClient
from var import Var
from userbot.Config import Config
from telethon.tl.functions.channels import InviteToChannelRequest, JoinChannelRequest
from userbot.... | Pythonbot/__main__.py | from userbot import bot
from sys import argv
import sys
from telethon.errors.rpcerrorlist import PhoneNumberInvalidError
import os
from telethon import TelegramClient
from var import Var
from userbot.Config import Config
from telethon.tl.functions.channels import InviteToChannelRequest, JoinChannelRequest
from userbot.... | 0.192577 | 0.075414 |
import numpy as np
import cv2
import matplotlib.pyplot as plt
def of_tracing(video_filename, pts, frame_range=(0,10000), displaying=False, out_folder=None):
result = list()
result.append(pts)
cap = cv2.VideoCapture(video_filename)
# params for ShiTomasi corner detection
feature_params = dict(maxC... | optical_flow_tracing.py | import numpy as np
import cv2
import matplotlib.pyplot as plt
def of_tracing(video_filename, pts, frame_range=(0,10000), displaying=False, out_folder=None):
result = list()
result.append(pts)
cap = cv2.VideoCapture(video_filename)
# params for ShiTomasi corner detection
feature_params = dict(maxC... | 0.445047 | 0.367327 |
import os
import sys
from bin.color import bcolor
class CommandLine:
def __init__(self, option_info_list):
"""Configure and parse the command line options.
Args:
option_info_list (list): A list of parameters to configure.
option_info_list.item (String): An information stri... | bin/commandline.py | import os
import sys
from bin.color import bcolor
class CommandLine:
def __init__(self, option_info_list):
"""Configure and parse the command line options.
Args:
option_info_list (list): A list of parameters to configure.
option_info_list.item (String): An information stri... | 0.533154 | 0.166641 |
import traceback
from datetime import datetime, date
from time import mktime
from struct import unpack as unpack, error as unpack_error
import ctypes
"""
Issues:
1. Too many files opened. Variable contract is equal to message sequence #.
In this case we have got an error "Too many files opened" because Exchange
open a... | batsmc/parser.py | import traceback
from datetime import datetime, date
from time import mktime
from struct import unpack as unpack, error as unpack_error
import ctypes
"""
Issues:
1. Too many files opened. Variable contract is equal to message sequence #.
In this case we have got an error "Too many files opened" because Exchange
open a... | 0.31258 | 0.234982 |
from openpyxl import Workbook, load_workbook
from halo import Halo
import time
from datetime import date, timedelta, datetime
from copy import copy
class XCel:
def __init__(self, config):
p1 = time.time()
self.config = config
spin = Halo(text="Opening template file: {0}".format(self.config['... | xcel.py | from openpyxl import Workbook, load_workbook
from halo import Halo
import time
from datetime import date, timedelta, datetime
from copy import copy
class XCel:
def __init__(self, config):
p1 = time.time()
self.config = config
spin = Halo(text="Opening template file: {0}".format(self.config['... | 0.335133 | 0.205974 |
from ctypes import *
import os
import sys
import platform
import inspect
import subprocess
import ctypes
import ctypes.util
def UNCHECKED(type):
if (hasattr(type, "_type_") and isinstance(type._type_, str)
and type._type_ != "P"):
return type
else:
return c_void_p
def is_os_64bit... | cryptlex/lexfloatclient/lexfloatclient_native.py | from ctypes import *
import os
import sys
import platform
import inspect
import subprocess
import ctypes
import ctypes.util
def UNCHECKED(type):
if (hasattr(type, "_type_") and isinstance(type._type_, str)
and type._type_ != "P"):
return type
else:
return c_void_p
def is_os_64bit... | 0.209227 | 0.072407 |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import Eto.Drawing as drawing
import Eto.Forms as forms
import Rhino.UI
import json
import os
import importlib
import sys
HERE = os.path.dirname(__file__)
UI_FOLDER = os.path.join(HERE, "..", "..", "ui/Rhino... | src/compas_rv2/rhino/forms/menu.py | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import Eto.Drawing as drawing
import Eto.Forms as forms
import Rhino.UI
import json
import os
import importlib
import sys
HERE = os.path.dirname(__file__)
UI_FOLDER = os.path.join(HERE, "..", "..", "ui/Rhino... | 0.320502 | 0.04653 |
from django import template
from django.template import Library, Node, Variable, loader
from django_recurly.utils import recurly
from django_recurly.models import Account
from django_recurly.helpers.recurlyjs import get_config, get_subscription_form, get_billing_info_update_form
register = template.Library()
@regi... | django_recurly/templatetags/recurly_js.py |
from django import template
from django.template import Library, Node, Variable, loader
from django_recurly.utils import recurly
from django_recurly.models import Account
from django_recurly.helpers.recurlyjs import get_config, get_subscription_form, get_billing_info_update_form
register = template.Library()
@regi... | 0.264643 | 0.129871 |
import os, glob
import pandas as pd
########### READ IN DATA ###########
filesFolder =
outputPath =
features2removeFile =
classifierName =
filesFound = glob.glob(filesFolder + '/*.csv')
counter = 0
concatDf = pd.DataFrame()
features2remove = pd.read_csv(features2removeFile)
features2removeList = list(f... | misc/1_UMAP_create_data_set_collapsed_091020.py | import os, glob
import pandas as pd
########### READ IN DATA ###########
filesFolder =
outputPath =
features2removeFile =
classifierName =
filesFound = glob.glob(filesFolder + '/*.csv')
counter = 0
concatDf = pd.DataFrame()
features2remove = pd.read_csv(features2removeFile)
features2removeList = list(f... | 0.08388 | 0.124213 |
import platform
import sys
import time
from pyhutool.gui.Const import _const
if sys.platform == 'darwin':
from . import Osx as _platformModule
elif sys.platform == 'win32':
from . import Win as _platformModule
elif platform.system() == 'Linux':
from . import X11 as _platformModule
else:
raise NotImplem... | pyhutool/gui/Mouse.py | import platform
import sys
import time
from pyhutool.gui.Const import _const
if sys.platform == 'darwin':
from . import Osx as _platformModule
elif sys.platform == 'win32':
from . import Win as _platformModule
elif platform.system() == 'Linux':
from . import X11 as _platformModule
else:
raise NotImplem... | 0.339171 | 0.222489 |
from par import *
import matplotlib.pyplot as plt
for dset in ['W','C']:
D = read2Ddataset(nrad, N2, lambda i,j: fn(i,j) + dset + '.txt')
plt.figure(figsize = (12,8))
plt.subplot(231)
plt.title(u'$\\tau_{\\rm es}$ of the corona')
plt.pcolor(radii, etas, DPA(D,'taues_tmin').transpose(), cmap = 'CM... | sketches/maps2d-1/plot.py | from par import *
import matplotlib.pyplot as plt
for dset in ['W','C']:
D = read2Ddataset(nrad, N2, lambda i,j: fn(i,j) + dset + '.txt')
plt.figure(figsize = (12,8))
plt.subplot(231)
plt.title(u'$\\tau_{\\rm es}$ of the corona')
plt.pcolor(radii, etas, DPA(D,'taues_tmin').transpose(), cmap = 'CM... | 0.542621 | 0.673306 |
import abc
import time
from time import sleep
from threading import Thread, Condition, Lock
import thread
from Queue import Queue, Empty
import zmq
from quantity.digger.util import mlogger as log
from quantity.digger.event import Event
class Timer(object):
""" 定时器，会定时往事件队列中发送定时事件。 """
def __init__(self, e... | quantity/digger/event/eventengine.py |
import abc
import time
from time import sleep
from threading import Thread, Condition, Lock
import thread
from Queue import Queue, Empty
import zmq
from quantity.digger.util import mlogger as log
from quantity.digger.event import Event
class Timer(object):
""" 定时器，会定时往事件队列中发送定时事件。 """
def __init__(self, e... | 0.238816 | 0.069007 |
from control import *
import numpy as np
from lmfit import Model
import inspect
def convert_magnitude_phase_to_complex (mag, phase_deg):
"""
Parameters
----------
mag: numpy array or object convertable using numpy.array(object)
Contains gain magnitude data corresponding to a specific frequency... | bode_fit.py | from control import *
import numpy as np
from lmfit import Model
import inspect
def convert_magnitude_phase_to_complex (mag, phase_deg):
"""
Parameters
----------
mag: numpy array or object convertable using numpy.array(object)
Contains gain magnitude data corresponding to a specific frequency... | 0.918813 | 0.667588 |
import json as json
import logging
import xbmc
import xbmcaddon
import xbmcgui
# read settings
ADDON = xbmcaddon.Addon()
logger = logging.getLogger(__name__)
ADDON_ID = ADDON.getAddonInfo("id")
MEDIA_URI = "special://home/addons/{}/resources/media/".format(ADDON_ID)
def art(image):
return {
"thumb": i... | resources/lib/kodiutils.py |
import json as json
import logging
import xbmc
import xbmcaddon
import xbmcgui
# read settings
ADDON = xbmcaddon.Addon()
logger = logging.getLogger(__name__)
ADDON_ID = ADDON.getAddonInfo("id")
MEDIA_URI = "special://home/addons/{}/resources/media/".format(ADDON_ID)
def art(image):
return {
"thumb": i... | 0.399226 | 0.076996 |
import functools
import string
import typing as t
from mypy.errorcodes import ErrorCode
from mypy.nodes import (
Expression,
FuncDef,
LambdaExpr,
NameExpr,
RefExpr,
StrExpr,
)
from mypy.options import Options
from mypy.plugin import (
MethodContext,
Plugin,
)
from mypy.types import (
... | loguru_mypy/__init__.py | import functools
import string
import typing as t
from mypy.errorcodes import ErrorCode
from mypy.nodes import (
Expression,
FuncDef,
LambdaExpr,
NameExpr,
RefExpr,
StrExpr,
)
from mypy.options import Options
from mypy.plugin import (
MethodContext,
Plugin,
)
from mypy.types import (
... | 0.473901 | 0.126461 |
import numpy as np
from typing import Optional, Callable
import pandas as pd
from statsmodels.stats.weightstats import DescrStatsW
from fastcore.all import store_attr
from ...utils.statistics import bootstrap_stats
from .eval_metric import EvalMetric, OldEvalMetric
from ..data.fold_yielder import FoldYielder
__all__ ... | lumin/nn/metrics/reg_eval.py | import numpy as np
from typing import Optional, Callable
import pandas as pd
from statsmodels.stats.weightstats import DescrStatsW
from fastcore.all import store_attr
from ...utils.statistics import bootstrap_stats
from .eval_metric import EvalMetric, OldEvalMetric
from ..data.fold_yielder import FoldYielder
__all__ ... | 0.835349 | 0.423935 |
import os
import json
def store_h2o_frame(data, directory, filename, force=False, parts=1):
"""
Export a given H2OFrame to a path on the machine this python session is currently connected to.
:param data: the Frame to save to disk.
:param directory: the directory to the save point on disk.
:param ... | mercury_ml/common/providers/artifact_storage/local.py | import os
import json
def store_h2o_frame(data, directory, filename, force=False, parts=1):
"""
Export a given H2OFrame to a path on the machine this python session is currently connected to.
:param data: the Frame to save to disk.
:param directory: the directory to the save point on disk.
:param ... | 0.693161 | 0.61607 |
import os
from ament_index_python.packages import get_package_prefix
from ament_index_python.packages import get_package_share_directory
from launch.conditions import IfCondition
import launch.actions
import launch_ros.actions
from nav2_common.launch import RewrittenYaml
def generate_launch_description():
# G... | launch/nav2_bringup_launch.py |
import os
from ament_index_python.packages import get_package_prefix
from ament_index_python.packages import get_package_share_directory
from launch.conditions import IfCondition
import launch.actions
import launch_ros.actions
from nav2_common.launch import RewrittenYaml
def generate_launch_description():
# G... | 0.465387 | 0.176885 |
import time
import logging
import adjtimex
# freq is ppm (parts per million) with a 16-bit fractional part (2^-16 ppm)
SEC_TO_FREQ = 65536000000
# Max offset in seconds before making a step.
MAX_OFFSET = 0.5
# Maximum offset to enter sync state
SYNC_OFFSET = 0.005
class PyPLL(object):
""" PyPLL
T... | pypll.py |
import time
import logging
import adjtimex
# freq is ppm (parts per million) with a 16-bit fractional part (2^-16 ppm)
SEC_TO_FREQ = 65536000000
# Max offset in seconds before making a step.
MAX_OFFSET = 0.5
# Maximum offset to enter sync state
SYNC_OFFSET = 0.005
class PyPLL(object):
""" PyPLL
T... | 0.741861 | 0.481941 |
from . import number_patterns as npa
from . import tuple_rules as tp
ordinal_big_tuples = [(npa.ones_ptrn_no11 + "1\.000\.0([01][1-9]|10)\.$", '.*', 'millions', ' einmilljónasta og'),
("^1\.000\.0([01][1-9]|10)\.$", '.*', 'millions',' milljónasta og'),
(npa.ones_ptrn_no11 + "1\.000\.000\.$", '.*', 'millions', ... | regina_normalizer/ordinal_big_tuples.py | from . import number_patterns as npa
from . import tuple_rules as tp
ordinal_big_tuples = [(npa.ones_ptrn_no11 + "1\.000\.0([01][1-9]|10)\.$", '.*', 'millions', ' einmilljónasta og'),
("^1\.000\.0([01][1-9]|10)\.$", '.*', 'millions',' milljónasta og'),
(npa.ones_ptrn_no11 + "1\.000\.000\.$", '.*', 'millions', ... | 0.141905 | 0.246874 |
import cv2
from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/console
# DANGER! This is insecure. See http://twil.io/secure
account_sid = 'AC9ff3f227c0a9de0606351f3656ee2274'
auth_token = '<PASSWORD>'
client = Client(account_sid, auth_token)
face_cascade=cv2.CascadeClassifier("haarcasca... | camera.py | import cv2
from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/console
# DANGER! This is insecure. See http://twil.io/secure
account_sid = 'AC9ff3f227c0a9de0606351f3656ee2274'
auth_token = '<PASSWORD>'
client = Client(account_sid, auth_token)
face_cascade=cv2.CascadeClassifier("haarcasca... | 0.358353 | 0.148541 |
import ure as re
import ujson as json
import usocket as socket
from ucollections import namedtuple
from .protocol import *
from .transport import SocketIO
URL_RE = re.compile(r'http://([A-Za-z0-9\-\.]+)(?:\:([0-9]+))?(/.+)?')
URI = namedtuple('URI', ('hostname', 'port', 'path'))
def urlparse(uri):
"""Parse ht... | nodemcu/usocketio/client.py | import ure as re
import ujson as json
import usocket as socket
from ucollections import namedtuple
from .protocol import *
from .transport import SocketIO
URL_RE = re.compile(r'http://([A-Za-z0-9\-\.]+)(?:\:([0-9]+))?(/.+)?')
URI = namedtuple('URI', ('hostname', 'port', 'path'))
def urlparse(uri):
"""Parse ht... | 0.356335 | 0.192312 |
from tg.request_local import Request, Response
import logging
log = logging.getLogger(__name__)
class SeekableRequestBodyMiddleware(object):
def __init__(self, app):
self.app = app
def _stream_response(self, data):
try:
for chunk in data:
yield chunk
final... | tg/support/middlewares.py | from tg.request_local import Request, Response
import logging
log = logging.getLogger(__name__)
class SeekableRequestBodyMiddleware(object):
def __init__(self, app):
self.app = app
def _stream_response(self, data):
try:
for chunk in data:
yield chunk
final... | 0.446012 | 0.081119 |
from base.exchange import exchange
import time
class binance(exchange):
"""description of class"""
# user can be subscribe one or more market(symbol). F.e: suscriber_trade = ['BTCTRY', 'BTCUSDT']
# also user can be subscribe all markets(symbols). F.e: suscriber_trade = ['all']
def __init__(self, sub... | CWS/binance.py |
from base.exchange import exchange
import time
class binance(exchange):
"""description of class"""
# user can be subscribe one or more market(symbol). F.e: suscriber_trade = ['BTCTRY', 'BTCUSDT']
# also user can be subscribe all markets(symbols). F.e: suscriber_trade = ['all']
def __init__(self, sub... | 0.501709 | 0.287949 |
import unittest
import os
import run_chained
class RunChainedTests(unittest.TestCase):
def test_root_nodes(self):
root_node = '1'
first_stage = 1
n_nodes = 4
root_nodes = run_chained.compute_parent_nodes(root_node, first_stage, n_nodes)
self.assertEqual(['1'], root_nodes... | workflows/cp-leaveout/py/tests/test_run_chained.py |
import unittest
import os
import run_chained
class RunChainedTests(unittest.TestCase):
def test_root_nodes(self):
root_node = '1'
first_stage = 1
n_nodes = 4
root_nodes = run_chained.compute_parent_nodes(root_node, first_stage, n_nodes)
self.assertEqual(['1'], root_nodes... | 0.354433 | 0.421969 |
from .detail.const_dict import ConstDict
from .detail.common import timestamp_now, _to_float
from datetime import datetime
import pandas as pd
class QuoteBase(ConstDict):
def __init__(self, quote, time=None):
quote['time'] = time if time else timestamp_now()
ConstDict.__init__(self, quote)
def _get(self, key)... | robinhood/quote.py | from .detail.const_dict import ConstDict
from .detail.common import timestamp_now, _to_float
from datetime import datetime
import pandas as pd
class QuoteBase(ConstDict):
def __init__(self, quote, time=None):
quote['time'] = time if time else timestamp_now()
ConstDict.__init__(self, quote)
def _get(self, key)... | 0.785802 | 0.243333 |
from .statistics import Ranking
from .character import Character
from .cover import Cover
from .date import Date
from .next_airing import NextAiring
from .title import Title
from .trailer import Trailer
from .score import Score
from .season import Season
from typing import Callable, Dict, List
class Anime:
"""An... | anilist/types/anime.py |
from .statistics import Ranking
from .character import Character
from .cover import Cover
from .date import Date
from .next_airing import NextAiring
from .title import Title
from .trailer import Trailer
from .score import Score
from .season import Season
from typing import Callable, Dict, List
class Anime:
"""An... | 0.795539 | 0.141311 |
import yaml
from optparse import OptionParser
import os.path
known_dirs = {}
includes = []
opts = set()
def process(options):
yaml_fname = options.yaml_filename
prefix = os.path.realpath(options.top_directory)
with open(yaml_fname, 'r') as f:
y = yaml.load(f, Loader=yaml.CLoader)
for el in ... | bear2cmake.py |
import yaml
from optparse import OptionParser
import os.path
known_dirs = {}
includes = []
opts = set()
def process(options):
yaml_fname = options.yaml_filename
prefix = os.path.realpath(options.top_directory)
with open(yaml_fname, 'r') as f:
y = yaml.load(f, Loader=yaml.CLoader)
for el in ... | 0.124572 | 0.0809 |
from __future__ import annotations
from typing import Iterable
import re
from pathlib import Path
from pdtable.store import BlockIterator
from pdtable.table_origin import (
NullInputIssueTracker,
InputIssueTracker,
InputError,
LoadItem,
)
from ._protocol import (
Loader,
)
from ._loaders import mak... | pdtable/io/load/_orchestrators.py | from __future__ import annotations
from typing import Iterable
import re
from pathlib import Path
from pdtable.store import BlockIterator
from pdtable.table_origin import (
NullInputIssueTracker,
InputIssueTracker,
InputError,
LoadItem,
)
from ._protocol import (
Loader,
)
from ._loaders import mak... | 0.900034 | 0.207435 |
from s5v2 import *
from prettytable import PrettyTable
def my_table(): # no arguments are passed in, which seems a bit weird. We're hard-coding a function that only does one thing.
x = PrettyTable(['Style', 'Average Price']) # setup a new pretty table list and give and give it two list items
x.add_row(['Print', pret... | resources/ds_basics/s5v3.py | from s5v2 import *
from prettytable import PrettyTable
def my_table(): # no arguments are passed in, which seems a bit weird. We're hard-coding a function that only does one thing.
x = PrettyTable(['Style', 'Average Price']) # setup a new pretty table list and give and give it two list items
x.add_row(['Print', pret... | 0.334155 | 0.630941 |
line0.timing_system.channels.hsc.delay = 4.97e-06
line0.Phase [s] = 5.4527e-06
line0.ChopX = 33.79
line0.ChopY = 30.17
line0.description = 'S-1t'
line0.updated = '17 Oct 15:03'
line1.timing_system.channels.hsc.delay = 0.0
line1.ChopX = 37.28
line1.ChopY = 30.925
line1.description = 'S-1'
line1.updated = '17 Oct 15:05'
... | settings/high_speed_chopper_modes_settings.py | line0.timing_system.channels.hsc.delay = 4.97e-06
line0.Phase [s] = 5.4527e-06
line0.ChopX = 33.79
line0.ChopY = 30.17
line0.description = 'S-1t'
line0.updated = '17 Oct 15:03'
line1.timing_system.channels.hsc.delay = 0.0
line1.ChopX = 37.28
line1.ChopY = 30.925
line1.description = 'S-1'
line1.updated = '17 Oct 15:05'
... | 0.459319 | 0.191592 |
import scrapy
from scrapy_news.items import SoccerNewsItem
import scrapy_news.url_selector as url_selector
#to run
#scrapy crawl zerozero
class ZeroZeroSpider(scrapy.Spider):
name = 'zerozero'
allowed_domains = ['zerozero.pt']
start_urls = [
#'http://www.zerozero.pt/news.php?id=224561',
#'... | scrapy_news/scrapy_news/spiders/zerozero.py | import scrapy
from scrapy_news.items import SoccerNewsItem
import scrapy_news.url_selector as url_selector
#to run
#scrapy crawl zerozero
class ZeroZeroSpider(scrapy.Spider):
name = 'zerozero'
allowed_domains = ['zerozero.pt']
start_urls = [
#'http://www.zerozero.pt/news.php?id=224561',
#'... | 0.190272 | 0.273362 |
import numpy as np
from PIL import Image
from matplotlib import pyplot as plt
# %% Q6_1_4 alpha-trimmed mean filter
Q6_1_4 = np.asarray(Image.open("Q6_1_4.tiff"))
plt.show()
def alpha_filter(img_raw, n: int = 3, d=0.1):
m = (n - 1) // 2
trimmed = max(int(d * n ** 2), 1)
row, col = img_raw.shape
img_... | lab6/Q6_1_4.py | import numpy as np
from PIL import Image
from matplotlib import pyplot as plt
# %% Q6_1_4 alpha-trimmed mean filter
Q6_1_4 = np.asarray(Image.open("Q6_1_4.tiff"))
plt.show()
def alpha_filter(img_raw, n: int = 3, d=0.1):
m = (n - 1) // 2
trimmed = max(int(d * n ** 2), 1)
row, col = img_raw.shape
img_... | 0.686475 | 0.65557 |
from bs4 import BeautifulSoup
import os
import csv
import time
import datetime
#returns list of files in the directory
def getAllFiles(dir):
files = []
listing = os.listdir(dir)
for fileName in listing:
files.append(fileName)
return files
#format and get output folder name
def getOutputFolder(folder, files):
#... | source/parser.py | from bs4 import BeautifulSoup
import os
import csv
import time
import datetime
#returns list of files in the directory
def getAllFiles(dir):
files = []
listing = os.listdir(dir)
for fileName in listing:
files.append(fileName)
return files
#format and get output folder name
def getOutputFolder(folder, files):
#... | 0.07228 | 0.205755 |
import pickle
import os
import numpy as np
from scipy import sparse
def load_ft_vec(dpath):
'''load fasttext with vec file'''
wv = dict()
with open(dpath) as dfile:
dfile.readline()
for line in dfile:
line = line.split()
wv[line[0]] = [float(item) for item in line[1... | dia_wt/build_dia.py | import pickle
import os
import numpy as np
from scipy import sparse
def load_ft_vec(dpath):
'''load fasttext with vec file'''
wv = dict()
with open(dpath) as dfile:
dfile.readline()
for line in dfile:
line = line.split()
wv[line[0]] = [float(item) for item in line[1... | 0.37777 | 0.171581 |
import numpy as np
from collections import deque
import rospy
NORMAL_MAXIMUM = 16384
BUFFER_NP_TYPE = '<i2' # little endian, signed short
def normalize(snd_data):
"""Average the volume out
"""
r = snd_data * (NORMAL_MAXIMUM * 1. / max(1, np.abs(snd_data).max()))
return r.astype(snd_data.dtype)
... | src/ros_speech2text/s2t/speech_detection.py | import numpy as np
from collections import deque
import rospy
NORMAL_MAXIMUM = 16384
BUFFER_NP_TYPE = '<i2' # little endian, signed short
def normalize(snd_data):
"""Average the volume out
"""
r = snd_data * (NORMAL_MAXIMUM * 1. / max(1, np.abs(snd_data).max()))
return r.astype(snd_data.dtype)
... | 0.739328 | 0.37912 |
import pytest
from deprecate.utils import no_warning_call
from tests.collection_deprecate import (
depr_accuracy_extra,
depr_accuracy_map,
depr_accuracy_skip,
depr_pow_args,
depr_pow_mix,
depr_pow_self,
depr_pow_self_double,
depr_pow_self_twice,
depr_pow_skip_if_false_true,
depr... | tests/test_functions.py | import pytest
from deprecate.utils import no_warning_call
from tests.collection_deprecate import (
depr_accuracy_extra,
depr_accuracy_map,
depr_accuracy_skip,
depr_pow_args,
depr_pow_mix,
depr_pow_self,
depr_pow_self_double,
depr_pow_self_twice,
depr_pow_skip_if_false_true,
depr... | 0.674479 | 0.437763 |
import re, pywikibot, requests
import toolforge
from datetime import datetime
site = pywikibot.Site('et', "wikipedia")
conn = toolforge.connect('etwiki_p')
def encode_if_necessary(b):
if type(b) is bytes:
return b.decode('utf8')
return b
def run_query(sqlquery):
#query = query.encode('utf-8')
#pr... | disambigReps-et.py | import re, pywikibot, requests
import toolforge
from datetime import datetime
site = pywikibot.Site('et', "wikipedia")
conn = toolforge.connect('etwiki_p')
def encode_if_necessary(b):
if type(b) is bytes:
return b.decode('utf8')
return b
def run_query(sqlquery):
#query = query.encode('utf-8')
#pr... | 0.079596 | 0.071267 |
import glob
from jinja2 import Template
import random
import argparse
import os
parser = argparse.ArgumentParser()
parser.add_argument('name', nargs='*', default='.')
parser.add_argument('--step', type=int, default=50,
help='Pixels between each visualized pixel.')
args = parser.parse_args()
dirs = [name for name ... | tools/vis_saliency.py | import glob
from jinja2 import Template
import random
import argparse
import os
parser = argparse.ArgumentParser()
parser.add_argument('name', nargs='*', default='.')
parser.add_argument('--step', type=int, default=50,
help='Pixels between each visualized pixel.')
args = parser.parse_args()
dirs = [name for name ... | 0.276202 | 0.067608 |
import argparse
import numpy as np
import pandas as pd
from settings import experiments, lambdas, functions, TRANSIENT_VALUE, RESULT_DIR
from statistics import response_time_blockchain, number_users_system, calculate_transient, mean_error, \
bar_plot_metrics, bar_plot_one_metric, plot_transient, new_plot, new_plo... | statistics-web3py/main.py | import argparse
import numpy as np
import pandas as pd
from settings import experiments, lambdas, functions, TRANSIENT_VALUE, RESULT_DIR
from statistics import response_time_blockchain, number_users_system, calculate_transient, mean_error, \
bar_plot_metrics, bar_plot_one_metric, plot_transient, new_plot, new_plo... | 0.445047 | 0.451629 |
import warnings
import pandas as pd
import pymssa # https://github.com/kieferk/pymssa
from autoscalingsim.scaling.policiesbuilder.metric.forecasting.forecasting_model import ForecastingModel
from autoscalingsim.utils.error_check import ErrorChecker
@ForecastingModel.register('ssa')
class SingularSpectrumAnalysis(Fore... | autoscalingsim/scaling/policiesbuilder/metric/forecasting/models/ssa.py | import warnings
import pandas as pd
import pymssa # https://github.com/kieferk/pymssa
from autoscalingsim.scaling.policiesbuilder.metric.forecasting.forecasting_model import ForecastingModel
from autoscalingsim.utils.error_check import ErrorChecker
@ForecastingModel.register('ssa')
class SingularSpectrumAnalysis(Fore... | 0.758868 | 0.254127 |
from django.db import models, IntegrityError
from django.contrib.auth import get_user_model
class BranchManager(models.Manager):
"""
This will have methods to easily help us interact with the Branch object. We override the default Django Manager.
"""
def get_agent_branch(self, agent=None):
""... | cargotracker/branches/models.py | from django.db import models, IntegrityError
from django.contrib.auth import get_user_model
class BranchManager(models.Manager):
"""
This will have methods to easily help us interact with the Branch object. We override the default Django Manager.
"""
def get_agent_branch(self, agent=None):
""... | 0.704567 | 0.246341 |
"""Module providing reading time adapter"""
from babel.dates import format_datetime
from Acquisition import aq_inner
from plone import api
from plone.dexterity.utils import safe_utf8
from plone.event.utils import pydt
from zope.interface import implementer
from ade25.base.interfaces import IContentInfoProvider
@impl... | ade25/base/content_info.py | """Module providing reading time adapter"""
from babel.dates import format_datetime
from Acquisition import aq_inner
from plone import api
from plone.dexterity.utils import safe_utf8
from plone.event.utils import pydt
from zope.interface import implementer
from ade25.base.interfaces import IContentInfoProvider
@impl... | 0.795698 | 0.218649 |
from __future__ import annotations
import random
from enum import Enum
import attrs
import structlog
@attrs.define
class Code:
a: int
b: int
c: int
d: int
@classmethod
def from_number(cls, n: int) -> Code:
return cls(
a=(n // 1000) % 10,
b=(n // 100) % 10,
... | py/vault/vault.py | from __future__ import annotations
import random
from enum import Enum
import attrs
import structlog
@attrs.define
class Code:
a: int
b: int
c: int
d: int
@classmethod
def from_number(cls, n: int) -> Code:
return cls(
a=(n // 1000) % 10,
b=(n // 100) % 10,
... | 0.580471 | 0.291472 |
from datetime import datetime
from pathlib import Path
import pytest
from PIL import Image
from pytest_toolbox import gettree, mktree
from pytest_toolbox.comparison import RegexStr
from harrier.build import FileData
from harrier.config import Mode
from harrier.main import build
from harrier.render import json_filter,... | tests/test_render.py | from datetime import datetime
from pathlib import Path
import pytest
from PIL import Image
from pytest_toolbox import gettree, mktree
from pytest_toolbox.comparison import RegexStr
from harrier.build import FileData
from harrier.config import Mode
from harrier.main import build
from harrier.render import json_filter,... | 0.348978 | 0.134122 |
import unittest
from datetime import datetime
from mongoengine import connect
from mongoengine import Document
from mongoengine.fields import ListField, DateTimeField
from twitter_watcher.db.models import Listener
from twitter_watcher.observers import ObserverTwitter
class ListernerModel(unittest.TestCase):
@... | tests/test_models.py | import unittest
from datetime import datetime
from mongoengine import connect
from mongoengine import Document
from mongoengine.fields import ListField, DateTimeField
from twitter_watcher.db.models import Listener
from twitter_watcher.observers import ObserverTwitter
class ListernerModel(unittest.TestCase):
@... | 0.696578 | 0.37981 |
import string, random
from django.db import models
from django.contrib.auth.models import User
class base_element(models.Model):
"""
Base element, abstract class
"""
name = models.CharField(max_length=128)
short_description = models.CharField(max_length=256)
description = models.TextFie... | greenknight/models.py | import string, random
from django.db import models
from django.contrib.auth.models import User
class base_element(models.Model):
"""
Base element, abstract class
"""
name = models.CharField(max_length=128)
short_description = models.CharField(max_length=256)
description = models.TextFie... | 0.553747 | 0.229956 |
from flask import jsonify, send_from_directory
from sqlalchemy import or_
from main.db_utils import create_new_specimen, \
create_request, notify_requests_pending
from main.model import db, TolidSpecies, TolidSpecimen, \
TolidUser, TolidRole, TolidRequest
from main.excel_utils import validate_excel
import conn... | tolid-api/app/main/controllers/creators_controller.py |
from flask import jsonify, send_from_directory
from sqlalchemy import or_
from main.db_utils import create_new_specimen, \
create_request, notify_requests_pending
from main.model import db, TolidSpecies, TolidSpecimen, \
TolidUser, TolidRole, TolidRequest
from main.excel_utils import validate_excel
import conn... | 0.541894 | 0.2334 |
import numpy as np
import sys
import os
import multiprocessing
from astropy.stats import RipleysKEstimator # astropy's ripley's K
import pandas as pd
import glob
import datetime
sys.path.append("..")
from stationsim_model import Model #python version of stationsim
import matplotlib.pyplot as plt
from seaborn import k... | Projects/ABM_DA/stationsim/stationsim_validation/stationsim_validation.py | import numpy as np
import sys
import os
import multiprocessing
from astropy.stats import RipleysKEstimator # astropy's ripley's K
import pandas as pd
import glob
import datetime
sys.path.append("..")
from stationsim_model import Model #python version of stationsim
import matplotlib.pyplot as plt
from seaborn import k... | 0.672762 | 0.348119 |
import pymysql
import time
import bs4
import requests
import re
import json
import datetime
from multiprocessing import Pool
with open('config.json', 'r') as f:
config = json.load(f)
database = config['database connection']
with open(config['track user path'], 'r') as f:
baseusers = [i.strip('\n') fo... | mysqldataupdater.py | import pymysql
import time
import bs4
import requests
import re
import json
import datetime
from multiprocessing import Pool
with open('config.json', 'r') as f:
config = json.load(f)
database = config['database connection']
with open(config['track user path'], 'r') as f:
baseusers = [i.strip('\n') fo... | 0.155303 | 0.075312 |
from UniqueConfiguration import UniqueConfiguration
from command_args import get_args, get_optional_arg, get_mandatory_arg, get_mandatory_arg_no_print, is_true, get_mandatory_arg_validated, get_optional_arg_validated
class AwsUniqueConfiguration(UniqueConfiguration):
def __init__(self, args, suffix):
super... | orchestration/run/AwsUniqueConfiguration.py | from UniqueConfiguration import UniqueConfiguration
from command_args import get_args, get_optional_arg, get_mandatory_arg, get_mandatory_arg_no_print, is_true, get_mandatory_arg_validated, get_optional_arg_validated
class AwsUniqueConfiguration(UniqueConfiguration):
def __init__(self, args, suffix):
super... | 0.416915 | 0.124266 |
import re
import spacy
from geopy.geocoders import Nominatim
'''
More info: https://geopy.readthedocs.io/en/stable/#geopy.location.Location.address
'''
class TweetUserLocatorUtils():
def __init__(self, locator_user_agent='random_user') -> None:
self.locator = Nominatim(user_agent=locator_user_agent)
... | twyloc/locator_utils.py | import re
import spacy
from geopy.geocoders import Nominatim
'''
More info: https://geopy.readthedocs.io/en/stable/#geopy.location.Location.address
'''
class TweetUserLocatorUtils():
def __init__(self, locator_user_agent='random_user') -> None:
self.locator = Nominatim(user_agent=locator_user_agent)
... | 0.784319 | 0.248283 |
import math
from pypy.lang.js.jsparser import parse, ParseError
from pypy.lang.js.astbuilder import ASTBuilder
from pypy.lang.js.operations import *
from pypy.lang.js.jsobj import ThrowException
from pypy.rlib.objectmodel import we_are_translated
from pypy.rlib.streamio import open_file_as_stream
ASTBUILDER = ASTBuild... | pypy/lang/js/interpreter.py | import math
from pypy.lang.js.jsparser import parse, ParseError
from pypy.lang.js.astbuilder import ASTBuilder
from pypy.lang.js.operations import *
from pypy.lang.js.jsobj import ThrowException
from pypy.rlib.objectmodel import we_are_translated
from pypy.rlib.streamio import open_file_as_stream
ASTBUILDER = ASTBuild... | 0.29798 | 0.214239 |
import logging
import re
from austlang import constants
logging.basicConfig(level=logging.DEBUG)
class SilRcemAdapter(object):
"""SIL Retired Core Element Mappings"""
SOURCE_NAME = constants.SIL_RCEM_SOURCE_ABBREV
# Mappings defined the in schema
RETIREMENT_TYPE_CHANGE = "C"
RETIREMENT_TYPE_DUPLI... | language_explorer/language_sources/sil_rcem.py | import logging
import re
from austlang import constants
logging.basicConfig(level=logging.DEBUG)
class SilRcemAdapter(object):
"""SIL Retired Core Element Mappings"""
SOURCE_NAME = constants.SIL_RCEM_SOURCE_ABBREV
# Mappings defined the in schema
RETIREMENT_TYPE_CHANGE = "C"
RETIREMENT_TYPE_DUPLI... | 0.50952 | 0.070176 |
import albumentations
import streamlit as st
from elements import (
checkbox,
element_description,
min_max,
num_interval,
radio,
rgb,
several_nums,
text_input,
)
def select_next_aug(augmentations):
"""
Returns last selected transformation.
Parameters:
augmentation... | augbuilder/augmentation.py | import albumentations
import streamlit as st
from elements import (
checkbox,
element_description,
min_max,
num_interval,
radio,
rgb,
several_nums,
text_input,
)
def select_next_aug(augmentations):
"""
Returns last selected transformation.
Parameters:
augmentation... | 0.791378 | 0.309024 |
import random, ecdsa, hashlib, base58, binascii, requests, time
##--------------BECH32-------------------------------------------------
CHARSET = "qpzry9x8gf2tvdw0s3jn54khce6mua7l"
def bech32_polymod(values):
"""Internal function that computes the Bech32 checksum."""
generator = [0x3b6a57b2, 0x26508e6d, 0x1e... | Zderzacz_btc.py |
import random, ecdsa, hashlib, base58, binascii, requests, time
##--------------BECH32-------------------------------------------------
CHARSET = "qpzry9x8gf2tvdw0s3jn54khce6mua7l"
def bech32_polymod(values):
"""Internal function that computes the Bech32 checksum."""
generator = [0x3b6a57b2, 0x26508e6d, 0x1e... | 0.608943 | 0.460532 |
from .autodiff import Variable
from .tensor_data import TensorData
from . import operators
class Tensor(Variable):
"""
Tensor is a generalization of Scalar in that it is a Variable that
handles multidimensional arrays.
Attributes:
_tensor (:class:`TensorData`) : the tensor data storage
... | Module-2/minitorch/tensor.py | from .autodiff import Variable
from .tensor_data import TensorData
from . import operators
class Tensor(Variable):
"""
Tensor is a generalization of Scalar in that it is a Variable that
handles multidimensional arrays.
Attributes:
_tensor (:class:`TensorData`) : the tensor data storage
... | 0.949342 | 0.606877 |
import argparse
import os
import bz2
import yaml
import json
from glob import glob
from tqdm import tqdm
import xml.etree.ElementTree as ET
def parse_file(file_path):
with bz2.open(file_path, 'r') as f:
root = ET.fromstring(f.read())
tool = root.attrib['tool']
for result in... | scripts/parse_svcomp_results.py | import argparse
import os
import bz2
import yaml
import json
from glob import glob
from tqdm import tqdm
import xml.etree.ElementTree as ET
def parse_file(file_path):
with bz2.open(file_path, 'r') as f:
root = ET.fromstring(f.read())
tool = root.attrib['tool']
for result in... | 0.219505 | 0.113383 |
from typing import Callable, Final, Tuple, TypeVar
WORD_SIZE: Final[int] = 32
REGISTER_BITS: Final[int] = 3
MEM_ADDR_BITS: Final[int] = 10
OPCODE_BITS: Final[int] = 6
# Binary values are either str "0b0" or int
Binary = TypeVar("Binary", str, int)
def _split_args(args: str, pos: int, second_bits: int = -1) -> Tuple... | toymachine/machine.py | from typing import Callable, Final, Tuple, TypeVar
WORD_SIZE: Final[int] = 32
REGISTER_BITS: Final[int] = 3
MEM_ADDR_BITS: Final[int] = 10
OPCODE_BITS: Final[int] = 6
# Binary values are either str "0b0" or int
Binary = TypeVar("Binary", str, int)
def _split_args(args: str, pos: int, second_bits: int = -1) -> Tuple... | 0.901769 | 0.400749 |
from parsing.grammar import *
def get_sample_1():
# From http://web.cs.dal.ca/~sjackson/lalr1.html
return Grammar([
NonTerminal('N', [
"V '=' E", "E"
]),
NonTerminal('E', [
"V"
]),
NonTerminal('V', [
"'x'", "'*' E"
... | samples.py | from parsing.grammar import *
def get_sample_1():
# From http://web.cs.dal.ca/~sjackson/lalr1.html
return Grammar([
NonTerminal('N', [
"V '=' E", "E"
]),
NonTerminal('E', [
"V"
]),
NonTerminal('V', [
"'x'", "'*' E"
... | 0.520496 | 0.244769 |
from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from wtforms import StringField, EmailField, PasswordField, SubmitField, TextAreaField
from wtforms.validators import DataRequired, Email, EqualTo, ValidationError, Length
from .models import model
from flask_login import current_user
Us... | app/forms.py | from flask_wtf import FlaskForm
from flask_wtf.file import FileField, FileAllowed
from wtforms import StringField, EmailField, PasswordField, SubmitField, TextAreaField
from wtforms.validators import DataRequired, Email, EqualTo, ValidationError, Length
from .models import model
from flask_login import current_user
Us... | 0.441914 | 0.173708 |
import json
import os
import numpy as np
import tensorflow as tf
import encoder
import model
def top_k_logits(logits, k):
if k == 0:
# no truncation
return logits
def _top_k():
values, _ = tf.nn.top_k(logits, k=k)
min_values = values[:, -1, tf.newaxis]
return tf.comp... | ai.py | import json
import os
import numpy as np
import tensorflow as tf
import encoder
import model
def top_k_logits(logits, k):
if k == 0:
# no truncation
return logits
def _top_k():
values, _ = tf.nn.top_k(logits, k=k)
min_values = values[:, -1, tf.newaxis]
return tf.comp... | 0.673299 | 0.356111 |
from enum import Enum
class UnrootedConflictStatus(Enum):
EQUIVALENT = 0
INCOMPATIBLE = 1
RESOLVES = 2 # compatible with "other" tree, and split is not in that tree
TRIVIAL = 3 # will be compatible with any taxonomy
NOT_COMPARABLE = 4 # e.g. lacking an OTT ID in a comparison to taxonomy
class... | peyotl/phylo/compat.py | from enum import Enum
class UnrootedConflictStatus(Enum):
EQUIVALENT = 0
INCOMPATIBLE = 1
RESOLVES = 2 # compatible with "other" tree, and split is not in that tree
TRIVIAL = 3 # will be compatible with any taxonomy
NOT_COMPARABLE = 4 # e.g. lacking an OTT ID in a comparison to taxonomy
class... | 0.706292 | 0.327265 |
from __future__ import annotations
from datetime import datetime
from typing import Optional
from marshmallow.fields import Integer, String
from numpy import sqrt, log, rad2deg, void
from astropy.wcs import WCS
from ..schemas import AfterglowSchema, DateTime, Float
__all__ = [
'IAstrometry', 'IFwhm', 'ISourceI... | afterglow_core/models/source_extraction.py | from __future__ import annotations
from datetime import datetime
from typing import Optional
from marshmallow.fields import Integer, String
from numpy import sqrt, log, rad2deg, void
from astropy.wcs import WCS
from ..schemas import AfterglowSchema, DateTime, Float
__all__ = [
'IAstrometry', 'IFwhm', 'ISourceI... | 0.947563 | 0.367611 |
__all__ = ['read_wininfo']
import sys
import pathlib
import numpy as np
import h5py
def read_wininfo(filename):
"""Read the window information from an EIS HDF5 header file
Parameters
----------
filename : str or pathlib.Path object
Name of either the data or head HDF5 file for a single EIS ob... | eispac/core/read_wininfo.py | __all__ = ['read_wininfo']
import sys
import pathlib
import numpy as np
import h5py
def read_wininfo(filename):
"""Read the window information from an EIS HDF5 header file
Parameters
----------
filename : str or pathlib.Path object
Name of either the data or head HDF5 file for a single EIS ob... | 0.534855 | 0.269614 |
from Spot import *
from bosdyn.api import image_pb2
import time
import numpy as np
import imutils
import cv2
import OpenGL
import bosdyn.api
import bosdyn.client.util
import io
import os
import sys
from OpenGL.GL import *
from OpenGL.GL import shaders, GL_VERTEX_SHADER
from OpenGL.GLU import *
from OpenGL.GLUT impo... | edj/Spot_image_capture.py |
from Spot import *
from bosdyn.api import image_pb2
import time
import numpy as np
import imutils
import cv2
import OpenGL
import bosdyn.api
import bosdyn.client.util
import io
import os
import sys
from OpenGL.GL import *
from OpenGL.GL import shaders, GL_VERTEX_SHADER
from OpenGL.GLU import *
from OpenGL.GLUT impo... | 0.697609 | 0.256238 |
from __future__ import print_function
import os.path as osp
import subprocess
import shutil
import shlex
import sys
import os
from importlib import import_module
sys.path.append('support')
d=osp.abspath(osp.dirname(__file__))
sys.path.append(d)
print(d)
from opts import *
import pcgtests as test
with open(osp.join... | python/build.py | from __future__ import print_function
import os.path as osp
import subprocess
import shutil
import shlex
import sys
import os
from importlib import import_module
sys.path.append('support')
d=osp.abspath(osp.dirname(__file__))
sys.path.append(d)
print(d)
from opts import *
import pcgtests as test
with open(osp.join... | 0.163279 | 0.067301 |
import sys, os, math
import os.path as path
import numpy as np
def circle(allParms):
localInputFolder = allParms["Interface"]["localInputFolder"]
centerX = float(allParms["Minor"]["photometryCurXvolts"])
centerY = float(allParms["Minor"]["photometryCurYvolts"])
sweepDurMs = float(allParms["Minor"]["pho... | src/Toronado/Imaging/Helper/Scans/createPhotometryScans.py | import sys, os, math
import os.path as path
import numpy as np
def circle(allParms):
localInputFolder = allParms["Interface"]["localInputFolder"]
centerX = float(allParms["Minor"]["photometryCurXvolts"])
centerY = float(allParms["Minor"]["photometryCurYvolts"])
sweepDurMs = float(allParms["Minor"]["pho... | 0.260954 | 0.196788 |
import re
import textfsm
import pathlib
from pprint import pprint as pp
from pyEXOS import EXOS
from napalm.base import NetworkDriver
from napalm.base.exceptions import (
ConnectionException,
MergeConfigException,
ReplaceConfigException,
)
class ExosDriver(NetworkDriver):
"""Napalm driver fo... | napalm_exos/exos.py |
import re
import textfsm
import pathlib
from pprint import pprint as pp
from pyEXOS import EXOS
from napalm.base import NetworkDriver
from napalm.base.exceptions import (
ConnectionException,
MergeConfigException,
ReplaceConfigException,
)
class ExosDriver(NetworkDriver):
"""Napalm driver fo... | 0.338186 | 0.090454 |
import os, sys
import time
import subprocess, psutil, tempfile, portalocker
import socket
import uuid
import logging
from tinydb import TinyDB, Query
from datetime import datetime
import json
from ..util import util
def start():
logger = util.logger(__name__)
sys.stdout.write('Starting broadcast service.')
curren... | gesso/gesso/service/announce.py | import os, sys
import time
import subprocess, psutil, tempfile, portalocker
import socket
import uuid
import logging
from tinydb import TinyDB, Query
from datetime import datetime
import json
from ..util import util
def start():
logger = util.logger(__name__)
sys.stdout.write('Starting broadcast service.')
curren... | 0.056275 | 0.053849 |
import numpy as np
import scipy
import warnings
def norms_init(B=None, Binv=None):
"""
Initialize norms to use.
The primal space is the space of variables, the dual space is
the space of the gradients.
Operator B transforms the primal space to the dual.
l2_norm_sqr(x) := ||x||^2... | utils.py | import numpy as np
import scipy
import warnings
def norms_init(B=None, Binv=None):
"""
Initialize norms to use.
The primal space is the space of variables, the dual space is
the space of the gradients.
Operator B transforms the primal space to the dual.
l2_norm_sqr(x) := ||x||^2... | 0.712632 | 0.502563 |
import gc
import os
import cv2
import keras
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import tifffile as tiff
from keras import backend as K
from keras.backend import binary_crossentropy
from keras.layers import concatenate, Conv2D, Input, MaxPooling2D, UpSampling2D, Cropping2D
from keras.... | create_model/generate_pic.py | import gc
import os
import cv2
import keras
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import tifffile as tiff
from keras import backend as K
from keras.backend import binary_crossentropy
from keras.layers import concatenate, Conv2D, Input, MaxPooling2D, UpSampling2D, Cropping2D
from keras.... | 0.758332 | 0.477128 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('jobsapp', '0017_auto_20200221_1034'),
]
operations = [
migrations.RemoveField(
model_name='applicant1',
name='category',
),
migrations.RemoveField(
... | jobsapp/migrations/0018_auto_20200222_1831.py |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('jobsapp', '0017_auto_20200221_1034'),
]
operations = [
migrations.RemoveField(
model_name='applicant1',
name='category',
),
migrations.RemoveField(
... | 0.624637 | 0.131034 |
"""Script for quick-and-dirty time dilation calculations"""
from argparse import ArgumentParser
from decimal import Decimal, getcontext
def time_breakdown(time_in_years):
"""Function for formatting time nicely"""
light_seconds = time_in_years * 31556926
years, year_rem = divmod(light_seconds, 31556926)
... | timedil.py | """Script for quick-and-dirty time dilation calculations"""
from argparse import ArgumentParser
from decimal import Decimal, getcontext
def time_breakdown(time_in_years):
"""Function for formatting time nicely"""
light_seconds = time_in_years * 31556926
years, year_rem = divmod(light_seconds, 31556926)
... | 0.799677 | 0.320901 |
import logging
LOG = logging.getLogger(__name__)
class QuickCLIContextConfig(object):
''' Application Context Config '''
PARAMS = {
'allow_unset': (bool, True),
'unset_value': (str, '')
}
def __init__(self, context, **kwargs):
''' Constructor '''
self.context = conte... | src/quick_cli/context.py | import logging
LOG = logging.getLogger(__name__)
class QuickCLIContextConfig(object):
''' Application Context Config '''
PARAMS = {
'allow_unset': (bool, True),
'unset_value': (str, '')
}
def __init__(self, context, **kwargs):
''' Constructor '''
self.context = conte... | 0.660282 | 0.062303 |
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from dxlbootstrap.util import MessageUtils
from dxlclient.client_config import DxlClientConfig
from dxlclient.client import DxlClient
root_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(root_dir + "/../... | sample/basic/basic_update_event_example.py | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from dxlbootstrap.util import MessageUtils
from dxlclient.client_config import DxlClientConfig
from dxlclient.client import DxlClient
root_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(root_dir + "/../... | 0.408041 | 0.074736 |
begin_unit
comment|'# Copyright (c) 2014 Red Hat, Inc.'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comme... | nova/scheduler/client/query.py | begin_unit
comment|'# Copyright (c) 2014 Red Hat, Inc.'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comme... | 0.771026 | 0.072341 |
import numpy as np
import random
def lsi(x, y, params=None):
"""
An implementation of the local synthetic instances (LSI) method for over-sampling a dataset.
Arguments:
x - An N by M numpy array containing N samples of M dimensions (i.e. features)
y - An N by D numpy array containing N labels of D... | lsi-oversampling/lsi.py | import numpy as np
import random
def lsi(x, y, params=None):
"""
An implementation of the local synthetic instances (LSI) method for over-sampling a dataset.
Arguments:
x - An N by M numpy array containing N samples of M dimensions (i.e. features)
y - An N by D numpy array containing N labels of D... | 0.76769 | 0.777046 |
from typing import Tuple, Optional
import torch
import torch.nn as nn
from torecsys.layers import BiasEncodingLayer
from torecsys.models.ctr import CtrBaseModel
class DeepSessionInterestNetworkModel(CtrBaseModel):
"""
# TODO: [in development]
Model class of Deep Session Interest Network (DSIN), which i... | torecsys/models/ctr/deep_session_interest_network.py | from typing import Tuple, Optional
import torch
import torch.nn as nn
from torecsys.layers import BiasEncodingLayer
from torecsys.models.ctr import CtrBaseModel
class DeepSessionInterestNetworkModel(CtrBaseModel):
"""
# TODO: [in development]
Model class of Deep Session Interest Network (DSIN), which i... | 0.861276 | 0.640636 |
import os
import importlib
import numpy as np
import matplotlib.pyplot as plt
import picasso_addon.io as addon_io
import spt.immobile_props as improps
import spt.analyze as analyze
importlib.reload(improps)
plt.style.use('~/lbFCS/styles/paper.mplstyle')
############################################# Load raw data
dir... | scripts/plotting/immob_props_single.py | import os
import importlib
import numpy as np
import matplotlib.pyplot as plt
import picasso_addon.io as addon_io
import spt.immobile_props as improps
import spt.analyze as analyze
importlib.reload(improps)
plt.style.use('~/lbFCS/styles/paper.mplstyle')
############################################# Load raw data
dir... | 0.45302 | 0.211804 |
import pprint
import re # noqa: F401
import six
class SrPathObject(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the... | syntropy_sdk/models/sr_path_object.py | import pprint
import re # noqa: F401
import six
class SrPathObject(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_types (dict): The key is attribute name
and the... | 0.605916 | 0.088583 |
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.forms import ModelForm
from .models import NeighborHood, UserProfile, Business, Post
class RegisterForm(UserCreationForm):
email = forms.EmailField(required=True,
... | z_neighborhood/forms.py | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.forms import ModelForm
from .models import NeighborHood, UserProfile, Business, Post
class RegisterForm(UserCreationForm):
email = forms.EmailField(required=True,
... | 0.486819 | 0.089973 |
import unittest
from hypothesis import given
import hypothesis.strategies as st
import pytest
import curver
from curver.kernel.decorators import memoize # Special import needed for decorating.
TRIANGULATIONS = {
(0, 3): '3_p',
(0, 4): '6_JDky1',
(0, 5): '9_ZFO4OuIV',
(0, 6): 'c_ZlgeM906o-354',
... | tests/strategies.py | import unittest
from hypothesis import given
import hypothesis.strategies as st
import pytest
import curver
from curver.kernel.decorators import memoize # Special import needed for decorating.
TRIANGULATIONS = {
(0, 3): '3_p',
(0, 4): '6_JDky1',
(0, 5): '9_ZFO4OuIV',
(0, 6): 'c_ZlgeM906o-354',
... | 0.474388 | 0.433382 |
from ..utils import fromtimestamp
from .model import Model
class Movie(Model):
"""Movie Object
Attributes
----------
id: :class:`str`
| |movie_id|
user_id: :class:`str`
| |id|
title: :class:`str`
| Live title
subtitle: :class:`str`
| Live subtitle (telop)
... | twitcaspy/models/movie.py |
from ..utils import fromtimestamp
from .model import Model
class Movie(Model):
"""Movie Object
Attributes
----------
id: :class:`str`
| |movie_id|
user_id: :class:`str`
| |id|
title: :class:`str`
| Live title
subtitle: :class:`str`
| Live subtitle (telop)
... | 0.882807 | 0.512693 |
# https://www.youtube.com/watch?v=Vq2xt2D3e3E
notes = {0:'do',2:'ré',4:'mi',5:'fa',7:'sol',9:'la',11:'si'}
ordre_notes = {0:'do',1:'ré',2:'mi',3:'fa',4:'sol',5:'la',6:'si'}
notes_ordre = {'do':0,'ré':1,'mi':2,'fa':3,'sol':4,'la':5,'si':6}
hauteur_notes = {'do':0,'ré':2,'mi':4,'fa':5,'sol':7,'la':9,'si':11}
alt = {-2:... | gammes.py |
# https://www.youtube.com/watch?v=Vq2xt2D3e3E
notes = {0:'do',2:'ré',4:'mi',5:'fa',7:'sol',9:'la',11:'si'}
ordre_notes = {0:'do',1:'ré',2:'mi',3:'fa',4:'sol',5:'la',6:'si'}
notes_ordre = {'do':0,'ré':1,'mi':2,'fa':3,'sol':4,'la':5,'si':6}
hauteur_notes = {'do':0,'ré':2,'mi':4,'fa':5,'sol':7,'la':9,'si':11}
alt = {-2:... | 0.281208 | 0.248905 |
import pandas as pd
import re
import requests
from datetime import date
from flask import request
from flask import Flask, render_template, redirect
from datetime import datetime
from bs4 import BeautifulSoup
app = Flask(__name__)
@app.route('/')
@app.route('/home', methods=['GET','POST'])
def scrapping():
global... | Scripts/app.py | import pandas as pd
import re
import requests
from datetime import date
from flask import request
from flask import Flask, render_template, redirect
from datetime import datetime
from bs4 import BeautifulSoup
app = Flask(__name__)
@app.route('/')
@app.route('/home', methods=['GET','POST'])
def scrapping():
global... | 0.194904 | 0.127625 |