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 flask import request
from assemblyline.common import forge
from assemblyline.datastore import SearchException
from assemblyline_ui.config import STORAGE
from assemblyline_ui.api.base import api_login, make_api_response, make_subapi_blueprint
Classification = forge.get_classification()
config = forge.get_config(... | assemblyline_ui/api/v4/error.py | from flask import request
from assemblyline.common import forge
from assemblyline.datastore import SearchException
from assemblyline_ui.config import STORAGE
from assemblyline_ui.api.base import api_login, make_api_response, make_subapi_blueprint
Classification = forge.get_classification()
config = forge.get_config(... | 0.581541 | 0.101857 |
from . import AWSHelperFn, AWSObject, AWSProperty
from .validators import boolean, integer, positive_integer
EC2_INSTANCE_LAUNCH = "autoscaling:EC2_INSTANCE_LAUNCH"
EC2_INSTANCE_LAUNCH_ERROR = "autoscaling:EC2_INSTANCE_LAUNCH_ERROR"
EC2_INSTANCE_TERMINATE = "autoscaling:EC2_INSTANCE_TERMINATE"
EC2_INSTANCE_TERMINATE... | troposphere/autoscaling.py |
from . import AWSHelperFn, AWSObject, AWSProperty
from .validators import boolean, integer, positive_integer
EC2_INSTANCE_LAUNCH = "autoscaling:EC2_INSTANCE_LAUNCH"
EC2_INSTANCE_LAUNCH_ERROR = "autoscaling:EC2_INSTANCE_LAUNCH_ERROR"
EC2_INSTANCE_TERMINATE = "autoscaling:EC2_INSTANCE_TERMINATE"
EC2_INSTANCE_TERMINATE... | 0.705988 | 0.106644 |
def preprocess_chinese(path):
pass
def read_chinese(path):
output_path = path + '_output.txt'
content = path + '_sentence.txt'
aspect = path + '_target.txt'
polarity = path + '_label.txt'
fin = open(content, 'r', encoding='utf-8', newline='\n', errors='ignore')
reviews = fin.readlines()
... | utils/chinese_preprocess.py |
def preprocess_chinese(path):
pass
def read_chinese(path):
output_path = path + '_output.txt'
content = path + '_sentence.txt'
aspect = path + '_target.txt'
polarity = path + '_label.txt'
fin = open(content, 'r', encoding='utf-8', newline='\n', errors='ignore')
reviews = fin.readlines()
... | 0.166472 | 0.144934 |
from typing import List
from albumcollections import cache
from albumcollections.spotify.item.spotify_music import SpotifyAlbum
from .spotify_item import SpotifyItem
class SpotifyCollection(SpotifyItem):
"""Class to hold selected information about a spotify collection.
Uses database entries associated with ... | albumcollections/spotify/item/spotify_collection.py | from typing import List
from albumcollections import cache
from albumcollections.spotify.item.spotify_music import SpotifyAlbum
from .spotify_item import SpotifyItem
class SpotifyCollection(SpotifyItem):
"""Class to hold selected information about a spotify collection.
Uses database entries associated with ... | 0.859752 | 0.19758 |
import errno
import re
import sys
from threading import Lock
import rospy
from std_msgs.msg import (
Bool,
Empty,
)
import baxter_dataflow
from baxter_core_msgs.msg import (
AssemblyState,
)
from baxter_interface import settings
class RobotEnable(object):
"""
Class RobotEnable - simple contr... | src/baxter_interface/robot_enable.py |
import errno
import re
import sys
from threading import Lock
import rospy
from std_msgs.msg import (
Bool,
Empty,
)
import baxter_dataflow
from baxter_core_msgs.msg import (
AssemblyState,
)
from baxter_interface import settings
class RobotEnable(object):
"""
Class RobotEnable - simple contr... | 0.5083 | 0.176991 |
from pprint import pprint
import os, json, requests
from bs4 import BeautifulSoup
from pathlib import Path
class GamePlaylistDownloader(object):
"""
Download playlist from https://downloads.khinsider.com
"""
def __init__(self,url,showLog=True):
self.url = url
self.showLog = showLog
self.... | mp3_downloader.py |
from pprint import pprint
import os, json, requests
from bs4 import BeautifulSoup
from pathlib import Path
class GamePlaylistDownloader(object):
"""
Download playlist from https://downloads.khinsider.com
"""
def __init__(self,url,showLog=True):
self.url = url
self.showLog = showLog
self.... | 0.109337 | 0.048971 |
import skia
import pytest
import sys
@pytest.fixture
def colorinfo():
return skia.ColorInfo(
skia.ColorType.kRGBA_8888_ColorType,
skia.AlphaType.kPremul_AlphaType,
skia.ColorSpace.MakeSRGB())
@pytest.mark.parametrize('args', [
tuple(),
(
skia.ColorType.kUnknown_ColorType,... | tests/test_imageinfo.py | import skia
import pytest
import sys
@pytest.fixture
def colorinfo():
return skia.ColorInfo(
skia.ColorType.kRGBA_8888_ColorType,
skia.AlphaType.kPremul_AlphaType,
skia.ColorSpace.MakeSRGB())
@pytest.mark.parametrize('args', [
tuple(),
(
skia.ColorType.kUnknown_ColorType,... | 0.535827 | 0.759538 |
import os
import time
import torch
import utils.utils as utils
from PIL import Image
import cv2
import numpy as np
import matplotlib.pyplot as plt
import torchvision.transforms
'''
Class Evaluator:
Simple NN evaluator for object detection. It implements the ability
plot real and predicted class and box values. It ... | utils/evaluator.py | import os
import time
import torch
import utils.utils as utils
from PIL import Image
import cv2
import numpy as np
import matplotlib.pyplot as plt
import torchvision.transforms
'''
Class Evaluator:
Simple NN evaluator for object detection. It implements the ability
plot real and predicted class and box values. It ... | 0.637369 | 0.555556 |
import copy
import itertools
from enum import Enum
from ... import errors as err
from .substitutions import create_substitution, substitute_expression
from ..formulas import land, lor, Quantifier, QuantifiedFormula, Atom, Tautology, Contradiction, CompoundFormula
from .errors import TransformationError
class Quantif... | src/tarski/syntax/transform/quantifier_elimination.py | import copy
import itertools
from enum import Enum
from ... import errors as err
from .substitutions import create_substitution, substitute_expression
from ..formulas import land, lor, Quantifier, QuantifiedFormula, Atom, Tautology, Contradiction, CompoundFormula
from .errors import TransformationError
class Quantif... | 0.693265 | 0.259998 |
import asyncio
import logging
import time
import subprocess
from datetime import timedelta
from discord import Game
from discord.ext.commands import Bot, Cog, command, Context
from jingler.configuration import pyproject, BASE_DIR
from jingler.database.db import Database
from jingler.emojis import Emoji
STARTUP_TIME ... | jingler/cogs/misc.py | import asyncio
import logging
import time
import subprocess
from datetime import timedelta
from discord import Game
from discord.ext.commands import Bot, Cog, command, Context
from jingler.configuration import pyproject, BASE_DIR
from jingler.database.db import Database
from jingler.emojis import Emoji
STARTUP_TIME ... | 0.386185 | 0.059757 |
import copy
import os
import unittest
import shutil
from parameterized import parameterized
import tensorflow as tf
from opennmt import Runner
from opennmt.config import load_model
from opennmt.utils import misc
from opennmt.tests import test_util
test_dir = os.path.dirname(os.path.realpath(__file__))
root_dir = ... | opennmt/tests/runner_test.py |
import copy
import os
import unittest
import shutil
from parameterized import parameterized
import tensorflow as tf
from opennmt import Runner
from opennmt.config import load_model
from opennmt.utils import misc
from opennmt.tests import test_util
test_dir = os.path.dirname(os.path.realpath(__file__))
root_dir = ... | 0.506836 | 0.352063 |
from datetime import datetime, timedelta
from typing import List
from fastapi import APIRouter, Depends
from fastapi import HTTPException
from tracardi.service.storage.driver import storage
from tracardi.service.storage.factory import StorageFor, StorageForBulk, storage_manager
from tracardi.domain.record.event_debug... | app/api/event_endpoint.py | from datetime import datetime, timedelta
from typing import List
from fastapi import APIRouter, Depends
from fastapi import HTTPException
from tracardi.service.storage.driver import storage
from tracardi.service.storage.factory import StorageFor, StorageForBulk, storage_manager
from tracardi.domain.record.event_debug... | 0.426083 | 0.124612 |
import numpy as np
from scipy import linalg
def helmert(pos1, pos2, Q, n):
pt1 = np.hsplit(pos1[0:3 * n], n)
pt2 = np.hsplit(pos2[0:3 * n], n)
e = np.matrix(np.ones(n)).T
sig = np.identity(3)
# outlier loop start
i = 0 # iterator preventing infinite loops
tst2 = np.array([7]) # loop st... | helmert_comp.py | import numpy as np
from scipy import linalg
def helmert(pos1, pos2, Q, n):
pt1 = np.hsplit(pos1[0:3 * n], n)
pt2 = np.hsplit(pos2[0:3 * n], n)
e = np.matrix(np.ones(n)).T
sig = np.identity(3)
# outlier loop start
i = 0 # iterator preventing infinite loops
tst2 = np.array([7]) # loop st... | 0.361165 | 0.617599 |
import pytest
from eventlet import GreenPool, sleep
from eventlet.event import Event
import nameko.rpc
from nameko.containers import ServiceContainer
from nameko.rpc import Rpc, rpc
from nameko.testing.services import get_extension
from nameko.utils import (
REDACTED, fail_fast_imap, get_redacted_args, import_fro... | nameko/test/utils/test_utils.py |
import pytest
from eventlet import GreenPool, sleep
from eventlet.event import Event
import nameko.rpc
from nameko.containers import ServiceContainer
from nameko.rpc import Rpc, rpc
from nameko.testing.services import get_extension
from nameko.utils import (
REDACTED, fail_fast_imap, get_redacted_args, import_fro... | 0.560012 | 0.391057 |
from __future__ import annotations
# Bokeh imports
from .action import FAILED, PASSED, ActionReturn
from .config import Config
from .system import System
__all__ = (
"publish_conda_package",
"publish_documentation",
"publish_npm_package",
"publish_pip_packages",
"unpack_deployment_tarball",
)
CLO... | release/deploy.py | from __future__ import annotations
# Bokeh imports
from .action import FAILED, PASSED, ActionReturn
from .config import Config
from .system import System
__all__ = (
"publish_conda_package",
"publish_documentation",
"publish_npm_package",
"publish_pip_packages",
"unpack_deployment_tarball",
)
CLO... | 0.569374 | 0.085633 |
"""Wrapper script for oclint"""
import os
from hooks.utils import StaticAnalyzerCmd
class OCLintCmd(StaticAnalyzerCmd):
"""Class for the OCLint command."""
command = "oclint"
lookbehind = "OCLint version "
def __init__(self, args):
super().__init__(self.command, self.lookbehind, args)
... | hooks/oclint.py | """Wrapper script for oclint"""
import os
from hooks.utils import StaticAnalyzerCmd
class OCLintCmd(StaticAnalyzerCmd):
"""Class for the OCLint command."""
command = "oclint"
lookbehind = "OCLint version "
def __init__(self, args):
super().__init__(self.command, self.lookbehind, args)
... | 0.619932 | 0.127979 |
import youtube_dl
import os
import threading
import logging
import json
import requests
import hot
logger = logging.getLogger("RaspberryCast")
volume = 0
def launchvideo(url, config, sub=False):
setState("2")
os.system("echo -n q > /tmp/cmd &") # Kill previous instance of OMX
if config["new_log"]:
... | process.py | import youtube_dl
import os
import threading
import logging
import json
import requests
import hot
logger = logging.getLogger("RaspberryCast")
volume = 0
def launchvideo(url, config, sub=False):
setState("2")
os.system("echo -n q > /tmp/cmd &") # Kill previous instance of OMX
if config["new_log"]:
... | 0.219756 | 0.0686 |
import contextlib
import sys
import logging
import time
import itertools
from .config import config
from .exceptions import MaxWhileTries
log = logging.getLogger(__name__)
@contextlib.contextmanager
def nested(*managers):
"""
Like contextlib.nested but takes callables returning context
managers, to avoid... | teuthology/contextutil.py | import contextlib
import sys
import logging
import time
import itertools
from .config import config
from .exceptions import MaxWhileTries
log = logging.getLogger(__name__)
@contextlib.contextmanager
def nested(*managers):
"""
Like contextlib.nested but takes callables returning context
managers, to avoid... | 0.35354 | 0.133528 |
import logging
from typing import Dict, List, Type, Any, Union, Sequence
from importlib import import_module
import attr
import pydocspec
from . import brains, _model
@attr.s(auto_attribs=True)
class GenericFactory:
bases: Dict[str, Type[Any]]
mixins: Dict[str, List[Type[Any]]] = attr.ib(factory=dict)
de... | pydocspec/specfactory.py | import logging
from typing import Dict, List, Type, Any, Union, Sequence
from importlib import import_module
import attr
import pydocspec
from . import brains, _model
@attr.s(auto_attribs=True)
class GenericFactory:
bases: Dict[str, Type[Any]]
mixins: Dict[str, List[Type[Any]]] = attr.ib(factory=dict)
de... | 0.811639 | 0.432603 |
"""Process Entity class."""
from datetime import datetime
from typing import Any, Mapping, Optional
from ..._version import VERSION
from ...common.utility import export
from .entity import Entity
from .account import Account
from .entity_enums import ElevationToken
from .file import File
from .host import Host
from .h... | msticpy/datamodel/entities/process.py | """Process Entity class."""
from datetime import datetime
from typing import Any, Mapping, Optional
from ..._version import VERSION
from ...common.utility import export
from .entity import Entity
from .account import Account
from .entity_enums import ElevationToken
from .file import File
from .host import Host
from .h... | 0.906514 | 0.130867 |
import logging
from hashlib import sha1
from django.core.cache import caches
from django.forms import ValidationError
from django.utils.translation import ugettext_lazy as _
import requests
from requests.exceptions import Timeout, HTTPError
from zxcvbn import zxcvbn
logger = logging.getLogger('kompassi')
MINIMUM... | core/utils/password_utils.py | import logging
from hashlib import sha1
from django.core.cache import caches
from django.forms import ValidationError
from django.utils.translation import ugettext_lazy as _
import requests
from requests.exceptions import Timeout, HTTPError
from zxcvbn import zxcvbn
logger = logging.getLogger('kompassi')
MINIMUM... | 0.555194 | 0.257392 |
from __future__ import absolute_import, division
from packaging.version import Version
import numpy as np
from toolz import memoize
from datashader.glyphs.glyph import Glyph
from datashader.utils import isreal, ngjit
from numba import cuda
try:
import cudf
from ..transfer_functions._cuda_utils import cuda_ar... | datashader/glyphs/points.py | from __future__ import absolute_import, division
from packaging.version import Version
import numpy as np
from toolz import memoize
from datashader.glyphs.glyph import Glyph
from datashader.utils import isreal, ngjit
from numba import cuda
try:
import cudf
from ..transfer_functions._cuda_utils import cuda_ar... | 0.828592 | 0.315749 |
import sequence_diagrams
try:
SD_loaded
reload(sequence_diagrams)
except:
SD_loaded = True
from sequence_diagrams import *
import theme.colors as thc
import theme.figure_settings as tfs
import argparse
parser = argparse.ArgumentParser(description="Generate pulse sequence acquisitions.")
parser.add_argum... | figures/scripts/t1_sequence.py | import sequence_diagrams
try:
SD_loaded
reload(sequence_diagrams)
except:
SD_loaded = True
from sequence_diagrams import *
import theme.colors as thc
import theme.figure_settings as tfs
import argparse
parser = argparse.ArgumentParser(description="Generate pulse sequence acquisitions.")
parser.add_argum... | 0.410638 | 0.205914 |
import sys
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchinfo import summary
sys.path.append(os.getcwd())
from module.complex_conv2d import ComplexConv2d
from module.complex_lstm import ComplexLSTM
from module.complex_conv_transpose2d import ComplexConvTranspose2d
from audio.u... | module/dc_crn.py |
import sys
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchinfo import summary
sys.path.append(os.getcwd())
from module.complex_conv2d import ComplexConv2d
from module.complex_lstm import ComplexLSTM
from module.complex_conv_transpose2d import ComplexConvTranspose2d
from audio.u... | 0.757346 | 0.377053 |
import sys, logging, open_color, arcade
#check to make sure we are running the right version of Python
version = (3,7)
assert sys.version_info >= version, "This script requires at least Python {0}.{1}".format(version[0],version[1])
#turn on logging, in case we have to leave ourselves debugging messages
logging.basicC... | main.py | import sys, logging, open_color, arcade
#check to make sure we are running the right version of Python
version = (3,7)
assert sys.version_info >= version, "This script requires at least Python {0}.{1}".format(version[0],version[1])
#turn on logging, in case we have to leave ourselves debugging messages
logging.basicC... | 0.348978 | 0.385143 |
import numpy as np
import matplotlib.pyplot as plt
import csv
import datetime as dt
import matplotlib.dates as mdates
t = []
a = []
b = []
c = []
real = []
with open('data.tsv','r') as csvfile:
rows = csv.DictReader(csvfile, delimiter="\t")
for row in rows:
tiempo = row['Fecha']
tiempo = dt.da... | csvToPlotInteractivo.py | import numpy as np
import matplotlib.pyplot as plt
import csv
import datetime as dt
import matplotlib.dates as mdates
t = []
a = []
b = []
c = []
real = []
with open('data.tsv','r') as csvfile:
rows = csv.DictReader(csvfile, delimiter="\t")
for row in rows:
tiempo = row['Fecha']
tiempo = dt.da... | 0.380183 | 0.451206 |
import numpy as np
from abc import abstractmethod
class Scaler(object):
@abstractmethod
def fit(self, records):
pass
@abstractmethod
def fit_scaling(self, records):
pass
@abstractmethod
def scaling(self, records):
pass
@abstractmethod
def inverse_scaling(sel... | preprocess/scaler.py | import numpy as np
from abc import abstractmethod
class Scaler(object):
@abstractmethod
def fit(self, records):
pass
@abstractmethod
def fit_scaling(self, records):
pass
@abstractmethod
def scaling(self, records):
pass
@abstractmethod
def inverse_scaling(sel... | 0.886014 | 0.290798 |
from pymtl3 import *
from pymtl3.stdlib.basic_rtl import Mux, Reg, RegEn, RegisterFile
from pymtl3.stdlib.ifcs import InValRdyIfc, OutValRdyIfc
class PipeQueue1RTL( Component ):
def construct( s, Type ):
s.enq = InValRdyIfc ( Type )
s.deq = OutValRdyIfc( Type )
s.buffer = m = RegEn( Type )
m.out /... | pymtl3/stdlib/queues/valrdy_queues.py | from pymtl3 import *
from pymtl3.stdlib.basic_rtl import Mux, Reg, RegEn, RegisterFile
from pymtl3.stdlib.ifcs import InValRdyIfc, OutValRdyIfc
class PipeQueue1RTL( Component ):
def construct( s, Type ):
s.enq = InValRdyIfc ( Type )
s.deq = OutValRdyIfc( Type )
s.buffer = m = RegEn( Type )
m.out /... | 0.380414 | 0.168412 |
from __future__ import unicode_literals
from .once import OnceIE
from ..compat import compat_urllib_parse_unquote
class GameSpotIE(OnceIE):
_VALID_URL = r"https?://(?:www\.)?gamespot\.com/(?:video|article|review)s/(?:[^/]+/\d+-|embed/)(?P<id>\d+)"
_TESTS = [
{
"url": "http://www.gamespot.... | youtuatools/extractor/gamespot.py | from __future__ import unicode_literals
from .once import OnceIE
from ..compat import compat_urllib_parse_unquote
class GameSpotIE(OnceIE):
_VALID_URL = r"https?://(?:www\.)?gamespot\.com/(?:video|article|review)s/(?:[^/]+/\d+-|embed/)(?P<id>\d+)"
_TESTS = [
{
"url": "http://www.gamespot.... | 0.547222 | 0.249985 |
================================================================
A Robot moves in a Plane starting from the origin point (0,0).
The robot can move toward UP, DOWN, LEFT, RIGHT.
The trace of Robot movement is as given following:
Assumed the fixed movements:
UP 5
DOWN 3
LEFT 3
RIGHT 2
The numbers after directions ar... | distance_by_coordinate_positions_of_robot_movements.py | ================================================================
A Robot moves in a Plane starting from the origin point (0,0).
The robot can move toward UP, DOWN, LEFT, RIGHT.
The trace of Robot movement is as given following:
Assumed the fixed movements:
UP 5
DOWN 3
LEFT 3
RIGHT 2
The numbers after directions ar... | 0.694199 | 0.698574 |
from django.shortcuts import render
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from django.template import loader
from django.db import connection
from django.http import HttpResponseRedirect
import datetime
from dj... | administrator/views.py | from django.shortcuts import render
from django.http import HttpResponse
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from django.template import loader
from django.db import connection
from django.http import HttpResponseRedirect
import datetime
from dj... | 0.389663 | 0.077274 |
from SPARQLWrapper import SPARQLWrapper, JSON
class KBHelper:
def __init__(self, endpoint):
self.endpoint = endpoint
self.sparql = SPARQLWrapper(self.endpoint)
def query_relatedSymptom(self, disease_name):
sparql_tem = """
SELECT ?object_name
WHERE {
... | app/doctor_bot/ontology/kb_helper.py | from SPARQLWrapper import SPARQLWrapper, JSON
class KBHelper:
def __init__(self, endpoint):
self.endpoint = endpoint
self.sparql = SPARQLWrapper(self.endpoint)
def query_relatedSymptom(self, disease_name):
sparql_tem = """
SELECT ?object_name
WHERE {
... | 0.508788 | 0.075176 |
from indicators.trend_indicators import exponential_moving_average
def average_true_range(df, target, period):
"""
Function to compute Average True Range (ATR)
This is a lagging indicator
df - the data frame
target - column name to store output
period - period of the atr
"""
base = 'T... | indicators/volatility_indicator.py | from indicators.trend_indicators import exponential_moving_average
def average_true_range(df, target, period):
"""
Function to compute Average True Range (ATR)
This is a lagging indicator
df - the data frame
target - column name to store output
period - period of the atr
"""
base = 'T... | 0.873902 | 0.593845 |
import os, sys
import errno
from pprint import pprint
import string
import unittest
from test_all import db, test_support, verbose, get_new_environment_path, get_new_database_path
#----------------------------------------------------------------------
class SimpleRecnoTestCase(unittest.TestCase):
if sys.versio... | Lib/bsddb/test/test_recno.py |
import os, sys
import errno
from pprint import pprint
import string
import unittest
from test_all import db, test_support, verbose, get_new_environment_path, get_new_database_path
#----------------------------------------------------------------------
class SimpleRecnoTestCase(unittest.TestCase):
if sys.versio... | 0.199464 | 0.26019 |
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
# can use the below import should you choose to initialize the weights of your Net
import torch.nn.init as I
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
## TO... | models.py |
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
# can use the below import should you choose to initialize the weights of your Net
import torch.nn.init as I
class Net(nn.Module):
def __init__(self):
super(Net, self).__init__()
## TO... | 0.822653 | 0.65624 |
import logging
from workflows.arlexecute.imaging.imaging_arlexecute import zero_list_arlexecute_workflow, \
predict_list_arlexecute_workflow
from wrappers.arlexecute.execution_support.arlexecute import arlexecute
from wrappers.arlexecute.imaging.base import predict_skycomponent_visibility
from wrappers.arlexecute.... | workflows/arlexecute/skymodel/skymodel_arlexecute.py | import logging
from workflows.arlexecute.imaging.imaging_arlexecute import zero_list_arlexecute_workflow, \
predict_list_arlexecute_workflow
from wrappers.arlexecute.execution_support.arlexecute import arlexecute
from wrappers.arlexecute.imaging.base import predict_skycomponent_visibility
from wrappers.arlexecute.... | 0.707101 | 0.468791 |
from aiorecollect.errors import RecollectError
from homeassistant import data_entry_flow
from homeassistant.components.recollect_waste import (
CONF_PLACE_ID,
CONF_SERVICE_ID,
DOMAIN,
)
from homeassistant.config_entries import SOURCE_IMPORT, SOURCE_USER
from tests.async_mock import patch
from tests.common... | tests/components/recollect_waste/test_config_flow.py | from aiorecollect.errors import RecollectError
from homeassistant import data_entry_flow
from homeassistant.components.recollect_waste import (
CONF_PLACE_ID,
CONF_SERVICE_ID,
DOMAIN,
)
from homeassistant.config_entries import SOURCE_IMPORT, SOURCE_USER
from tests.async_mock import patch
from tests.common... | 0.744935 | 0.407923 |
import ck.kernel as ck
import copy
import re
import argparse
# Platform tag.
platform_tags='nvidia-tx1'
# Batch size.
bs={
'start':1,
'stop':8,
'step':1,
'default':1
}
# Number of statistical repetitions e.g. 3.
num_repetitions=3
# Number of batches to run (the first is to be discarded) e.g. 5.
num_batches... | program/image-classification-tf-py/benchmark.nvidia-tx1.py | import ck.kernel as ck
import copy
import re
import argparse
# Platform tag.
platform_tags='nvidia-tx1'
# Batch size.
bs={
'start':1,
'stop':8,
'step':1,
'default':1
}
# Number of statistical repetitions e.g. 3.
num_repetitions=3
# Number of batches to run (the first is to be discarded) e.g. 5.
num_batches... | 0.442155 | 0.144149 |
import logging
import dlib
from multiprocessing import Pool
name_list = list()
d_trackers = list()
class ReusablePool:
"""
Manage reusable tracker objects for use by client.
"""
def __init__(self, size):
logging.debug('Creating ' + str(size) + ' trackers!')
self._reusables = [dlib.co... | faceR/tracking/dlib_tracking.py | import logging
import dlib
from multiprocessing import Pool
name_list = list()
d_trackers = list()
class ReusablePool:
"""
Manage reusable tracker objects for use by client.
"""
def __init__(self, size):
logging.debug('Creating ' + str(size) + ' trackers!')
self._reusables = [dlib.co... | 0.432543 | 0.238284 |
import logging
from discord.ext import commands
from random import choice
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
stream_handler = logging.StreamHandler()
stream_handler.setFormatter(logging.Formatter('[%(asctime)s - %(name)s - %(levelname)s] %(message)s'))
log.addHandler(stream_handler)
REGIONA... | UnusedCogs/movie_poll.py | import logging
from discord.ext import commands
from random import choice
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
stream_handler = logging.StreamHandler()
stream_handler.setFormatter(logging.Formatter('[%(asctime)s - %(name)s - %(levelname)s] %(message)s'))
log.addHandler(stream_handler)
REGIONA... | 0.118309 | 0.080069 |
import traceback
from logging import getLogger
from functools import wraps
from time import time
from flask import request
from flask.wrappers import Response
from werkzeug.datastructures import Headers
from ggrc import db
from ggrc import settings
from ggrc.login import get_current_user
from ggrc.models.mixins impor... | src/ggrc/models/background_task.py | import traceback
from logging import getLogger
from functools import wraps
from time import time
from flask import request
from flask.wrappers import Response
from werkzeug.datastructures import Headers
from ggrc import db
from ggrc import settings
from ggrc.login import get_current_user
from ggrc.models.mixins impor... | 0.557845 | 0.083591 |
from unittest.mock import Mock
import pytket as tk
from pytket.circuit import Bit, Qubit # pylint: disable=no-name-in-module
from pytket.utils import probs_from_counts
from discopy import messages
from discopy.quantum.circuit import (
Functor, Id, bit, qubit, Discard, Measure)
from discopy.quantum.gates import (... | discopy/quantum/tk.py | from unittest.mock import Mock
import pytket as tk
from pytket.circuit import Bit, Qubit # pylint: disable=no-name-in-module
from pytket.utils import probs_from_counts
from discopy import messages
from discopy.quantum.circuit import (
Functor, Id, bit, qubit, Discard, Measure)
from discopy.quantum.gates import (... | 0.862916 | 0.580055 |
def gen(i,j,c):
return j+1+(i*c)
def cUp(m,i,j):
return (m[i-1][j]!="#")
def cRight(m,i,j):
return (m[i][j+1]!="#")
def cDown(m,i,j):
return (m[i+1][j]!="#")
def cLeft(m,i,j):
return (m[i][j-1]!="#")
def getAdjecencyList(m,r,c):
g={}
for i in range(0,r):
for j in ran... | PrinceOfPersia2.py | def gen(i,j,c):
return j+1+(i*c)
def cUp(m,i,j):
return (m[i-1][j]!="#")
def cRight(m,i,j):
return (m[i][j+1]!="#")
def cDown(m,i,j):
return (m[i+1][j]!="#")
def cLeft(m,i,j):
return (m[i][j-1]!="#")
def getAdjecencyList(m,r,c):
g={}
for i in range(0,r):
for j in ran... | 0.035103 | 0.112576 |
import sys
import os
import getopt
import subprocess
import glob
import imp
def usage():
'''Print usage information for the program'''
argv0 = basename(sys.argv[0])
print("""
Usage:
------
%(argv0)s [options] [config_name]
Where config_name is the one of the defined configuration files if no config
file is ... | tools/run.py |
import sys
import os
import getopt
import subprocess
import glob
import imp
def usage():
'''Print usage information for the program'''
argv0 = basename(sys.argv[0])
print("""
Usage:
------
%(argv0)s [options] [config_name]
Where config_name is the one of the defined configuration files if no config
file is ... | 0.229104 | 0.119639 |
import numpy as np
from .model import Model
from ..util.util import sigmoid, add_intersect
class LogisticRegression(Model):
def __init__(self, gd=False, epochs=1000, lr=0.001):
"""Linear regression Model
epochs: number of epochs
lr: learning rate for GD
"""
super(LogisticRegression, self).__init__()
se... | src/si/supervised/logreg.py | import numpy as np
from .model import Model
from ..util.util import sigmoid, add_intersect
class LogisticRegression(Model):
def __init__(self, gd=False, epochs=1000, lr=0.001):
"""Linear regression Model
epochs: number of epochs
lr: learning rate for GD
"""
super(LogisticRegression, self).__init__()
se... | 0.66072 | 0.59355 |
import sys, os
import unreal_engine as ue
from unreal_engine import UObject, FVector, FRotator, FTransform, FColor, FLinearColor
from unreal_engine.classes import Pawn
import traceback
def log(*args):
print(' '.join(str(x) for x in args))
def logTB():
for line in traceback.format_exc().split('\n'):
lo... | output_params/Content/Scripts/helpers.py | import sys, os
import unreal_engine as ue
from unreal_engine import UObject, FVector, FRotator, FTransform, FColor, FLinearColor
from unreal_engine.classes import Pawn
import traceback
def log(*args):
print(' '.join(str(x) for x in args))
def logTB():
for line in traceback.format_exc().split('\n'):
lo... | 0.212069 | 0.19129 |
"""A basic example for using the signature API."""
# [START signature-basic-example]
import tink
from tink import cleartext_keyset_handle
from tink import signature
def example():
"""Sign and verify using digital signatures."""
# Register the signature key managers. This is needed to create
# PublicKeySign and ... | examples/python/signature/signature_basic.py | """A basic example for using the signature API."""
# [START signature-basic-example]
import tink
from tink import cleartext_keyset_handle
from tink import signature
def example():
"""Sign and verify using digital signatures."""
# Register the signature key managers. This is needed to create
# PublicKeySign and ... | 0.872402 | 0.351158 |
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import ironicclient.v1.chassis as IrChassis
import ironicclient.v1.driver as IrDriver
import ironicclient.v1.node as IrNode
import ironicclient.v1.port as IrPort
import mock
from congress.datasources import i... | congress/tests/datasources/test_ironic_driver.py |
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
import ironicclient.v1.chassis as IrChassis
import ironicclient.v1.driver as IrDriver
import ironicclient.v1.node as IrNode
import ironicclient.v1.port as IrPort
import mock
from congress.datasources import i... | 0.520984 | 0.18279 |
from typing import TYPE_CHECKING
from azure.core import PipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any, Optional
from azure.core.credentials import TokenCredential
from ._configuration import EntitySe... | sdk/EntitySearch/entity_search_client/_entity_search_client.py |
from typing import TYPE_CHECKING
from azure.core import PipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any, Optional
from azure.core.credentials import TokenCredential
from ._configuration import EntitySe... | 0.779028 | 0.104569 |
from __future__ import absolute_import, division, print_function, unicode_literals
import functools
import unittest
from builtins import range
from pants.engine.nodes import Return
_WAITING = 'TODO: Waiting'
@unittest.skip('Skipped to expedite landing #3821; see: #4027.')
class GraphTest(unittest.TestCase):
d... | tests/python/pants_test/engine/test_graph.py |
from __future__ import absolute_import, division, print_function, unicode_literals
import functools
import unittest
from builtins import range
from pants.engine.nodes import Return
_WAITING = 'TODO: Waiting'
@unittest.skip('Skipped to expedite landing #3821; see: #4027.')
class GraphTest(unittest.TestCase):
d... | 0.63409 | 0.330552 |
from soccer.data import LEAGUE_PROPERTIES, LEAGUE_NAMES
from . import BaseWriter
import click
import json
import io
__all__ = ['Stdout', 'Fstdout', 'Fjson', 'Json']
class Stdout(BaseWriter):
def __init__(self, output_file):
enums = dict(
CL_POSITION="green",
EL_POSITION="yellow",
... | soccer/writers/writers.py | from soccer.data import LEAGUE_PROPERTIES, LEAGUE_NAMES
from . import BaseWriter
import click
import json
import io
__all__ = ['Stdout', 'Fstdout', 'Fjson', 'Json']
class Stdout(BaseWriter):
def __init__(self, output_file):
enums = dict(
CL_POSITION="green",
EL_POSITION="yellow",
... | 0.209268 | 0.151498 |
import falcon
from falcon_redis_cache.hooks import CacheProvider
from falcon_redis_cache.utils import clear_resource_cache
from blog.core.comments import get_comment, edit_comment, delete_comment, comment_to_dto, \
like_comment
from blog.db import Comment, User
from blog.errors import UnauthorizedRequestError
from ... | blog/resources/comments.py | import falcon
from falcon_redis_cache.hooks import CacheProvider
from falcon_redis_cache.utils import clear_resource_cache
from blog.core.comments import get_comment, edit_comment, delete_comment, comment_to_dto, \
like_comment
from blog.db import Comment, User
from blog.errors import UnauthorizedRequestError
from ... | 0.469034 | 0.100657 |
import pygame
from random import randrange, randint
from itertools import cycle
pygame.init()
# Colors
COLOR_LIGHT_GREY = (230, 230, 230)
COLOR_LIGHT_BLUE = (51, 153, 255)
# Window
window = (960, 720)
center = (window[0] // 2, window[1] // 2)
screen = pygame.display.set_mode(window)
pygame.display.set_caption("PySna... | snake/main.py | import pygame
from random import randrange, randint
from itertools import cycle
pygame.init()
# Colors
COLOR_LIGHT_GREY = (230, 230, 230)
COLOR_LIGHT_BLUE = (51, 153, 255)
# Window
window = (960, 720)
center = (window[0] // 2, window[1] // 2)
screen = pygame.display.set_mode(window)
pygame.display.set_caption("PySna... | 0.438064 | 0.182498 |
from typing import Optional, Tuple
import numpy as np
from scipy.special import gammaln
from scipy.special import psi
from scipy.special import factorial
from scipy.optimize import fmin_l_bfgs_b as optim
from numbers import Number
def fit_nbinom(
X: np.ndarray, initial_params: Optional[Tuple[Number, Number]] = No... | scirpy/util/_negative_binomial.py | from typing import Optional, Tuple
import numpy as np
from scipy.special import gammaln
from scipy.special import psi
from scipy.special import factorial
from scipy.optimize import fmin_l_bfgs_b as optim
from numbers import Number
def fit_nbinom(
X: np.ndarray, initial_params: Optional[Tuple[Number, Number]] = No... | 0.930474 | 0.543227 |
import oneflow as flow
from oneflow.python.framework.tensor import Tensor
from oneflow.python.oneflow_export import oneflow_export
from oneflow.python.nn.module import Module
from typing import Optional, List, Tuple
@oneflow_export("nn.Embedding")
class Embedding(Module):
r"""A simple lookup table that stores e... | oneflow/python/nn/modules/sparse.py | import oneflow as flow
from oneflow.python.framework.tensor import Tensor
from oneflow.python.oneflow_export import oneflow_export
from oneflow.python.nn.module import Module
from typing import Optional, List, Tuple
@oneflow_export("nn.Embedding")
class Embedding(Module):
r"""A simple lookup table that stores e... | 0.920469 | 0.618118 |
import phantom.app as phantom
from phantom.action_result import ActionResult
from digital_shadows_consts import DS_API_KEY_CFG, DS_API_SECRET_KEY_CFG, DS_LOOKUP_USERNAME_NOT_FOUND, DS_LOOKUP_USERNAME_SUCCESS
from dsapi.service.data_breach_username_service import DataBreachUsernameService
class DSLookupUsernameConne... | ds_lookup_username_connector.py |
import phantom.app as phantom
from phantom.action_result import ActionResult
from digital_shadows_consts import DS_API_KEY_CFG, DS_API_SECRET_KEY_CFG, DS_LOOKUP_USERNAME_NOT_FOUND, DS_LOOKUP_USERNAME_SUCCESS
from dsapi.service.data_breach_username_service import DataBreachUsernameService
class DSLookupUsernameConne... | 0.637708 | 0.127354 |
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from yandex.cloud.mdb.kafka.v1 import connector_pb2 as yandex_dot_cloud_dot_mdb_dot_kafka_dot_v1_dot_connector__pb2
from yandex.cloud.mdb.kafka.v1 import connector_service_pb2 as yandex_dot_cloud_dot_mdb_dot_kafka_dot_v1_dot_connec... | yandex/cloud/mdb/kafka/v1/connector_service_pb2_grpc.py | """Client and server classes corresponding to protobuf-defined services."""
import grpc
from yandex.cloud.mdb.kafka.v1 import connector_pb2 as yandex_dot_cloud_dot_mdb_dot_kafka_dot_v1_dot_connector__pb2
from yandex.cloud.mdb.kafka.v1 import connector_service_pb2 as yandex_dot_cloud_dot_mdb_dot_kafka_dot_v1_dot_connec... | 0.772402 | 0.135204 |
from urllib.parse import urlencode
import requests
import time
from airflow.hooks.base_hook import BaseHook
class FacebookAdsHook(BaseHook):
def __init__(self, facebook_ads_conn_id="facebook_ads_default"):
self.facebook_ads_conn_id = facebook_ads_conn_id
self.connection = self.get_connection(face... | hooks/facebook_ads_hook.py | from urllib.parse import urlencode
import requests
import time
from airflow.hooks.base_hook import BaseHook
class FacebookAdsHook(BaseHook):
def __init__(self, facebook_ads_conn_id="facebook_ads_default"):
self.facebook_ads_conn_id = facebook_ads_conn_id
self.connection = self.get_connection(face... | 0.431105 | 0.080937 |
import detl
from detl.processor import load_and_save, identity_wrapper, Processor, change_state
from detl.mydb import MyDb
import shutil
import os
from test_util import save_int, load_int
import unittest
import pytest
from detl.wrapper import wrap_obj, wrap_results
class DecoratorTest(unittest.TestCase):
@pytest.... | tests/test_processors.py | import detl
from detl.processor import load_and_save, identity_wrapper, Processor, change_state
from detl.mydb import MyDb
import shutil
import os
from test_util import save_int, load_int
import unittest
import pytest
from detl.wrapper import wrap_obj, wrap_results
class DecoratorTest(unittest.TestCase):
@pytest.... | 0.367951 | 0.408277 |
import re
from django.db.models import Q
from django.core.validators import ValidationError
from django.forms import ModelForm, Form, BooleanField, CharField, ChoiceField, PasswordInput
from django.forms.widgets import TextInput
from django.utils.translation import ugettext_lazy as _
from rr.models.attribute import A... | rr/forms/testuser.py | import re
from django.db.models import Q
from django.core.validators import ValidationError
from django.forms import ModelForm, Form, BooleanField, CharField, ChoiceField, PasswordInput
from django.forms.widgets import TextInput
from django.utils.translation import ugettext_lazy as _
from rr.models.attribute import A... | 0.45641 | 0.139866 |
import argparse
import os
import re
import sys
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"input", metavar="FTOPTION_H", help="Path to input ftoption.h file."
)
parser.add_argument("--output", help="Output to file instead of stdout.")
parser.a... | thirdparty/freetype/builds/meson/process_ftoption_h.py | import argparse
import os
import re
import sys
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"input", metavar="FTOPTION_H", help="Path to input ftoption.h file."
)
parser.add_argument("--output", help="Output to file instead of stdout.")
parser.a... | 0.233532 | 0.095265 |
from __future__ import print_function
import unittest
import json
from bs4 import BeautifulSoup
from knowledge_repo import KnowledgeRepository
from knowledge_repo.app.models import Comment, Post, User
from knowledge_repo.app.proxies import db_session
class CommentTest(unittest.TestCase):
def setUp(self):
... | tests/test_comments.py | from __future__ import print_function
import unittest
import json
from bs4 import BeautifulSoup
from knowledge_repo import KnowledgeRepository
from knowledge_repo.app.models import Comment, Post, User
from knowledge_repo.app.proxies import db_session
class CommentTest(unittest.TestCase):
def setUp(self):
... | 0.494385 | 0.180901 |
import utils
import dbs
import bson
import sys, traceback
import pymongo
from config import *
from pymongo import UpdateOne
class PublishConverter:
def __init__(self, publish_db, cache_period = 10000):
self.childcount_dict = {}
self.update_list = []
self.publish_db = publish_db
self... | scripts/update_childcount.py | import utils
import dbs
import bson
import sys, traceback
import pymongo
from config import *
from pymongo import UpdateOne
class PublishConverter:
def __init__(self, publish_db, cache_period = 10000):
self.childcount_dict = {}
self.update_list = []
self.publish_db = publish_db
self... | 0.102507 | 0.122366 |
from kervi.controllers import Controller
from kervi.values import NumberValue
from mockup_spine import MockupSpine
from kervi_config import get_test_config
class XController(Controller):
def __init__(self, **kwargs):
Controller.__init__(self, "test_controller", "Test controller", **kwargs)
self.inp... | kervi-core/tests/test_controller.py | from kervi.controllers import Controller
from kervi.values import NumberValue
from mockup_spine import MockupSpine
from kervi_config import get_test_config
class XController(Controller):
def __init__(self, **kwargs):
Controller.__init__(self, "test_controller", "Test controller", **kwargs)
self.inp... | 0.688887 | 0.271264 |
from oslo_config import cfg
default_message_ttl = cfg.IntOpt(
'default_message_ttl', default=3600,
help='Defines how long a message will be accessible.')
default_message_delay = cfg.IntOpt(
'default_message_delay', default=0,
help=('Defines the defautl value for queue delay seconds.'
'The ... | zaqar-8.0.0/zaqar/conf/transport.py |
from oslo_config import cfg
default_message_ttl = cfg.IntOpt(
'default_message_ttl', default=3600,
help='Defines how long a message will be accessible.')
default_message_delay = cfg.IntOpt(
'default_message_delay', default=0,
help=('Defines the defautl value for queue delay seconds.'
'The ... | 0.565779 | 0.151906 |
# # Variable Types - Strings (2)
#
# In the last class we learnt how to create strings, how to convert between string, integers and floats using the <code>str()</code>, <code>int()</code> and <code>float()</code> functions respectively. We also learnt that we can add and multiply strings, but that we cannot divide o... | PlotlyandPython/Lessons/(01) Intro to Python/Notebooks/Python Scripts/(04) Variable Types - Strings (2).py |
# # Variable Types - Strings (2)
#
# In the last class we learnt how to create strings, how to convert between string, integers and floats using the <code>str()</code>, <code>int()</code> and <code>float()</code> functions respectively. We also learnt that we can add and multiply strings, but that we cannot divide o... | 0.7586 | 0.75487 |
import numpy as np
import pytest
try:
import faiss
except ImportError: # pragma: no cover
faiss = None
from mars import tensor as mt
from mars.core import tile
from mars.learn.neighbors._faiss import build_faiss_index, _load_index, \
faiss_query, _gen_index_string_and_sample_count
from mars.learn.neighbo... | mars/learn/neighbors/tests/test_faiss.py |
import numpy as np
import pytest
try:
import faiss
except ImportError: # pragma: no cover
faiss = None
from mars import tensor as mt
from mars.core import tile
from mars.learn.neighbors._faiss import build_faiss_index, _load_index, \
faiss_query, _gen_index_string_and_sample_count
from mars.learn.neighbo... | 0.670608 | 0.674144 |
from flask import abort, jsonify
from flask import g
from flask import render_template
from flask import request
from flask import session
from csh import constants
from csh import db
from csh.disanfang.gongyong import user_pd,news_phb
from csh.models import News, Comment, CommentLike, User
from csh.modules.news impor... | csh/modules/news/views.py | from flask import abort, jsonify
from flask import g
from flask import render_template
from flask import request
from flask import session
from csh import constants
from csh import db
from csh.disanfang.gongyong import user_pd,news_phb
from csh.models import News, Comment, CommentLike, User
from csh.modules.news impor... | 0.139543 | 0.064535 |
import pygame
import os
import threading
import time
from face import Face
from solver import solver_func
class UI:
def __init__(self, board, piece_size):
self.images = {}
self.board = board
# Size is width x height
self.piece_size = piece_size
self.board_size = self.piece_... | ui.py | import pygame
import os
import threading
import time
from face import Face
from solver import solver_func
class UI:
def __init__(self, board, piece_size):
self.images = {}
self.board = board
# Size is width x height
self.piece_size = piece_size
self.board_size = self.piece_... | 0.3492 | 0.134577 |
from urllib.parse import quote_plus
import json
import jwt
from django.views import View
from django.views.generic import TemplateView
from django.core.exceptions import ValidationError, PermissionDenied
from django.conf import settings
from django.shortcuts import redirect, render
from django.contrib.auth import get... | django_jwtauth/views.py | from urllib.parse import quote_plus
import json
import jwt
from django.views import View
from django.views.generic import TemplateView
from django.core.exceptions import ValidationError, PermissionDenied
from django.conf import settings
from django.shortcuts import redirect, render
from django.contrib.auth import get... | 0.655115 | 0.105948 |
from pypy.interpreter import gateway
app = gateway.applevel('''
"NOT_RPYTHON"
import builtins
class fake_code(object):
co_name = "?"
co_filename = "?"
co_firstlineno = 0
class fake_frame(object):
f_back = None
f_builtins = builtins.__dict__
f_code = fake_code()
f_exc_traceback = None
... | pypy/module/sys/currentframes.py | from pypy.interpreter import gateway
app = gateway.applevel('''
"NOT_RPYTHON"
import builtins
class fake_code(object):
co_name = "?"
co_filename = "?"
co_firstlineno = 0
class fake_frame(object):
f_back = None
f_builtins = builtins.__dict__
f_code = fake_code()
f_exc_traceback = None
... | 0.654343 | 0.106226 |
"""Tests for util.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.lite.python import lite_constants
from tensorflow.lite.python import util
from tensorflow.lite.toco import types_pb2 as _types_pb2
from tensorflow.python.client import ... | tensorflow/lite/python/util_test.py | """Tests for util.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.lite.python import lite_constants
from tensorflow.lite.python import util
from tensorflow.lite.toco import types_pb2 as _types_pb2
from tensorflow.python.client import ... | 0.685423 | 0.566858 |
from unittest.mock import MagicMock
import pytest
from wellcomeml.io.epmc.client import EPMCClient
@pytest.fixture
def epmc_client():
return EPMCClient(
max_retries=3
)
def test_search(epmc_client):
epmc_client._execute_query = MagicMock()
epmc_client.search(
"session", "query", res... | tests/io/epmc/test_client.py | from unittest.mock import MagicMock
import pytest
from wellcomeml.io.epmc.client import EPMCClient
@pytest.fixture
def epmc_client():
return EPMCClient(
max_retries=3
)
def test_search(epmc_client):
epmc_client._execute_query = MagicMock()
epmc_client.search(
"session", "query", res... | 0.674372 | 0.331552 |
from __future__ import unicode_literals, absolute_import
import unittest
from whispy_lispy import interpreter2, scopes2
from ..constructors import *
class InterpreterTestCase(unittest.TestCase):
def test_return_native_int(self):
tree = ast.RootAbstractSyntaxNode((ast.Value((types.Int((3, )),)),))
... | tests/test_interpreter2/__init__.py | from __future__ import unicode_literals, absolute_import
import unittest
from whispy_lispy import interpreter2, scopes2
from ..constructors import *
class InterpreterTestCase(unittest.TestCase):
def test_return_native_int(self):
tree = ast.RootAbstractSyntaxNode((ast.Value((types.Int((3, )),)),))
... | 0.609059 | 0.36591 |
import argparse
import logging
import numpy as np
import tensorflow as tf
import tensorflow_addons as tfa
import data.datasets3d
import options
from options import FLAGS
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--input-model-path', type=str, required=True)
parser.add_argument(... | src/scripts/build_multiperson_model.py | import argparse
import logging
import numpy as np
import tensorflow as tf
import tensorflow_addons as tfa
import data.datasets3d
import options
from options import FLAGS
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--input-model-path', type=str, required=True)
parser.add_argument(... | 0.828454 | 0.322873 |
import numpy as onp
import pandas as pd
from numpyro import distributions as dist
from shabadoo import Poisson
def test_single_coef_is_about_right():
"""Test that a single coef model which has a known value gets there.
This is a good round trip test that fitting works.
"""
# going to make a coe... | test/test_poisson.py |
import numpy as onp
import pandas as pd
from numpyro import distributions as dist
from shabadoo import Poisson
def test_single_coef_is_about_right():
"""Test that a single coef model which has a known value gets there.
This is a good round trip test that fitting works.
"""
# going to make a coe... | 0.858807 | 0.729026 |
from __future__ import absolute_import
import json
import os
import tempfile
import string
import sys
from nose.tools import assert_equal, assert_false, assert_true, assert_raises, eq_
from desktop.lib.django_test_util import make_logged_in_client
from desktop.lib.test_utils import grant_access, add_to_group, add_pe... | desktop/libs/aws/src/aws/s3/s3fs_test.py | from __future__ import absolute_import
import json
import os
import tempfile
import string
import sys
from nose.tools import assert_equal, assert_false, assert_true, assert_raises, eq_
from desktop.lib.django_test_util import make_logged_in_client
from desktop.lib.test_utils import grant_access, add_to_group, add_pe... | 0.37399 | 0.208642 |
from django.conf import settings
from django.core.management import BaseCommand
from django.utils import timezone
from django.utils.dateformat import format as format_date
from mtp_common.tasks import send_email
from core.notify.templates import ApiNotifyTemplates
from notification.constants import EMAIL_FREQUENCY
fro... | mtp_api/apps/notification/management/commands/send_notification_emails.py | from django.conf import settings
from django.core.management import BaseCommand
from django.utils import timezone
from django.utils.dateformat import format as format_date
from mtp_common.tasks import send_email
from core.notify.templates import ApiNotifyTemplates
from notification.constants import EMAIL_FREQUENCY
fro... | 0.412648 | 0.085671 |
import sys
import requests
import json
from docopt import docopt
import utils
import transactions
import rlp
from . import __version__
from . config import read_config
config = read_config()
api_path = config.get('api', 'api_path')
assert api_path.startswith('/') and not api_path.endswith('/')
DEFAULT_HOST = config.... | pyethereum/ethclient.py | import sys
import requests
import json
from docopt import docopt
import utils
import transactions
import rlp
from . import __version__
from . config import read_config
config = read_config()
api_path = config.get('api', 'api_path')
assert api_path.startswith('/') and not api_path.endswith('/')
DEFAULT_HOST = config.... | 0.14013 | 0.253162 |
import json
import os
import torch
from torch.utils.data import Dataset, DataLoader
from torch.nn.utils.rnn import pad_sequence
from transformers import AutoTokenizer
from torchfly.text.datasets import Seq2SeqDataset
# pylint:disable=no-member
class TextRLCollator:
def __init__(self, config, tokenizer):
... | Unconditional/TextGAIL/configure_dataloader.py | import json
import os
import torch
from torch.utils.data import Dataset, DataLoader
from torch.nn.utils.rnn import pad_sequence
from transformers import AutoTokenizer
from torchfly.text.datasets import Seq2SeqDataset
# pylint:disable=no-member
class TextRLCollator:
def __init__(self, config, tokenizer):
... | 0.719581 | 0.147248 |
from collections import defaultdict
from dataclasses import dataclass, replace
from enum import Enum
from functools import lru_cache
from typing import (
AbstractSet,
Any,
Callable,
Collection,
Dict,
List,
Mapping,
Optional,
Pattern,
Sequence,
Set,
Tuple,
Type,
Ty... | apischema/deserialization/__init__.py | from collections import defaultdict
from dataclasses import dataclass, replace
from enum import Enum
from functools import lru_cache
from typing import (
AbstractSet,
Any,
Callable,
Collection,
Dict,
List,
Mapping,
Optional,
Pattern,
Sequence,
Set,
Tuple,
Type,
Ty... | 0.910503 | 0.189652 |
import click
from clinicadl.utils import cli_param
@click.command(name="save-tensor", no_args_is_help=True)
@cli_param.argument.input_maps
@cli_param.argument.data_group
@click.option(
"--caps_directory",
type=click.Path(exists=True),
default=None,
help="Data using CAPS structure, if different from t... | clinicadl/save_tensor/save_tensor_cli.py | import click
from clinicadl.utils import cli_param
@click.command(name="save-tensor", no_args_is_help=True)
@cli_param.argument.input_maps
@cli_param.argument.data_group
@click.option(
"--caps_directory",
type=click.Path(exists=True),
default=None,
help="Data using CAPS structure, if different from t... | 0.647798 | 0.295135 |
from statistics import mean
from typing import Optional
from sgj.events_deck import EventsDeck
class GameManager:
ENERGY_ROUND_CHARGE = 2
def __init__(self, db_filepath: str):
self.events_deck = EventsDeck(db_filepath)
self.energy_min_max = [0, 100]
self.energy = self.energy_min_max... | sgj/game_manager.py | from statistics import mean
from typing import Optional
from sgj.events_deck import EventsDeck
class GameManager:
ENERGY_ROUND_CHARGE = 2
def __init__(self, db_filepath: str):
self.events_deck = EventsDeck(db_filepath)
self.energy_min_max = [0, 100]
self.energy = self.energy_min_max... | 0.859354 | 0.217919 |
from tensortrade.orders import Order, OrderSpec
from tensortrade.orders.criteria import Stop, Limit
from tensortrade.trades import TradeSide, TradeType
def market_order(step: int,
side: 'TradeSide',
pair: 'TradingPair',
price: float,
size: float,
... | tensortrade/orders/create.py |
from tensortrade.orders import Order, OrderSpec
from tensortrade.orders.criteria import Stop, Limit
from tensortrade.trades import TradeSide, TradeType
def market_order(step: int,
side: 'TradeSide',
pair: 'TradingPair',
price: float,
size: float,
... | 0.714827 | 0.36642 |
from typing import List, Optional, Dict, Union
from abc import abstractmethod
from pathlib import Path
import langdetect
from haystack.nodes.base import BaseComponent
from haystack.schema import Document
# https://en.wikipedia.org/wiki/Ligature_(writing)
KNOWN_LIGATURES = {
# Latin
"ff": "ff",
"fi": "fi",... | haystack/nodes/file_converter/base.py | from typing import List, Optional, Dict, Union
from abc import abstractmethod
from pathlib import Path
import langdetect
from haystack.nodes.base import BaseComponent
from haystack.schema import Document
# https://en.wikipedia.org/wiki/Ligature_(writing)
KNOWN_LIGATURES = {
# Latin
"ff": "ff",
"fi": "fi",... | 0.920057 | 0.472075 |
import shodan
import sys
import re
import requests
from time import sleep
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
# Configuration
API_KEY = "YOURAPIKEY"
SEARCH_FOR = 'confluence'
FILE = "/rest/tinymce/1/macro/preview"
s... | Confluence/confluence.py |
import shodan
import sys
import re
import requests
from time import sleep
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
# Configuration
API_KEY = "YOURAPIKEY"
SEARCH_FOR = 'confluence'
FILE = "/rest/tinymce/1/macro/preview"
s... | 0.092652 | 0.05498 |
import json
import operator
class DC(object):
metrics = []
breakpoints = []
bp_values = []
@classmethod
def register_metric(cls, metric):
cls.metrics.append(metric)
@classmethod
def register_breakpoint(cls, *args):
if len(args) == 1:
cls.breakpoints.append(args... | server/utils/dc.py | import json
import operator
class DC(object):
metrics = []
breakpoints = []
bp_values = []
@classmethod
def register_metric(cls, metric):
cls.metrics.append(metric)
@classmethod
def register_breakpoint(cls, *args):
if len(args) == 1:
cls.breakpoints.append(args... | 0.697403 | 0.1929 |
from Data import Data
from ReadConfiguration import ReadConfiguration
from ReadData import ReadData
from ConstructFeature import ConstructFeature
from LoadFeature import LoadFeature
from Train import Train
import time
if __name__ == '__main__':
# Step 1 Read Configuration
print("=========================... | user_satisfaction_prediction/machine_learning_model/Main.py |
from Data import Data
from ReadConfiguration import ReadConfiguration
from ReadData import ReadData
from ConstructFeature import ConstructFeature
from LoadFeature import LoadFeature
from Train import Train
import time
if __name__ == '__main__':
# Step 1 Read Configuration
print("=========================... | 0.284775 | 0.216425 |
"""Support for "Auth"-related System Backend Methods."""
from hvac.api.system_backend.system_backend_mixin import SystemBackendMixin
from hvac.utils import validate_list_of_strings_param, list_to_comma_delimited
from hvac import exceptions
class Auth(SystemBackendMixin):
def list_auth_methods(self):
"""L... | hvac/api/system_backend/auth.py | """Support for "Auth"-related System Backend Methods."""
from hvac.api.system_backend.system_backend_mixin import SystemBackendMixin
from hvac.utils import validate_list_of_strings_param, list_to_comma_delimited
from hvac import exceptions
class Auth(SystemBackendMixin):
def list_auth_methods(self):
"""L... | 0.755457 | 0.233138 |
import pytest
import mercantile
@pytest.mark.parametrize('args', [
(486, 332, 10),
[(486, 332, 10)],
[mercantile.Tile(486, 332, 10)]])
def test_ul(args):
expected = (-9.140625, 53.33087298301705)
lnglat = mercantile.ul(*args)
for a, b in zip(expected, lnglat):
assert round(a - b, 7) =... | tests/test_funcs.py | import pytest
import mercantile
@pytest.mark.parametrize('args', [
(486, 332, 10),
[(486, 332, 10)],
[mercantile.Tile(486, 332, 10)]])
def test_ul(args):
expected = (-9.140625, 53.33087298301705)
lnglat = mercantile.ul(*args)
for a, b in zip(expected, lnglat):
assert round(a - b, 7) =... | 0.632389 | 0.802942 |
import numpy as np
import time
import os
from bark.runtime.commons.parameters import ParameterServer
from bark.runtime.viewer.matplotlib_viewer import MPViewer
from bark.runtime.viewer.video_renderer import VideoRenderer
from bark.runtime.scenario.scenario_generation.config_with_ease import \
LaneCorridorConfig, Con... | examples/merging.py |
import numpy as np
import time
import os
from bark.runtime.commons.parameters import ParameterServer
from bark.runtime.viewer.matplotlib_viewer import MPViewer
from bark.runtime.viewer.video_renderer import VideoRenderer
from bark.runtime.scenario.scenario_generation.config_with_ease import \
LaneCorridorConfig, Con... | 0.466846 | 0.163813 |
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@p... | base2designs/protos/ssd_anchor_generator_pb2.py |
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@p... | 0.324449 | 0.169063 |
from typing import Dict
from allennlp.models.model import Model
from allennlp.data.vocabulary import Vocabulary
from allennlp.modules.conditional_random_field import ConditionalRandomField, allowed_transitions
from transformers.modeling_bert import BertModel, BertForPreTraining, BertConfig
from transformers.tokenizati... | ecws/my_library/model/cws_model.py | from typing import Dict
from allennlp.models.model import Model
from allennlp.data.vocabulary import Vocabulary
from allennlp.modules.conditional_random_field import ConditionalRandomField, allowed_transitions
from transformers.modeling_bert import BertModel, BertForPreTraining, BertConfig
from transformers.tokenizati... | 0.757525 | 0.243991 |
from pprint import pformat
from six import iteritems
import re
class JobPositionInput(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, position_id=None, incumbent_name=None, type=None, position_open_date=N... | smartrecruiters_python_client/models/job_position_input.py | from pprint import pformat
from six import iteritems
import re
class JobPositionInput(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
def __init__(self, position_id=None, incumbent_name=None, type=None, position_open_date=N... | 0.833019 | 0.253659 |
import numpy as np
import os
import skimage.io
from ..core.base import SyncableDataset
from ..core.base import IndexSpec
from . import volumetric_utils as vu
from ...utils import io_utils as iou
from ...utils import python_utils as pyu
from ...utils.exceptions import assert_, ShapeError
class VolumeLoader(SyncableDa... | inferno/io/volumetric/volume.py | import numpy as np
import os
import skimage.io
from ..core.base import SyncableDataset
from ..core.base import IndexSpec
from . import volumetric_utils as vu
from ...utils import io_utils as iou
from ...utils import python_utils as pyu
from ...utils.exceptions import assert_, ShapeError
class VolumeLoader(SyncableDa... | 0.653348 | 0.340074 |
import pytest
import json
from unilyze import Unichar
TEST_CHAR = "Ä"
u = Unichar()
def load_json(filename):
with open(filename, "r", encoding="utf-8") as fp:
data = fp.read()
return data
def create_tests():
u = Unichar()
raw_info = u.ucd_info_short(TEST_CHAR)
with open("tests/testchar... | tests/test_unichar.py | import pytest
import json
from unilyze import Unichar
TEST_CHAR = "Ä"
u = Unichar()
def load_json(filename):
with open(filename, "r", encoding="utf-8") as fp:
data = fp.read()
return data
def create_tests():
u = Unichar()
raw_info = u.ucd_info_short(TEST_CHAR)
with open("tests/testchar... | 0.378689 | 0.336549 |
import os
import time
import numpy as np
from bokeh import __version__ as bokeh_release_ver
from bokeh.plotting import figure
from bokeh.models import (
HoverTool,
NumeralTickFormatter
)
LOADER = """
#loader {
position: absolute;
left: 20%;
top: 30%;
z-index: 1000;
border: 1... | app/covid/utilities.py | import os
import time
import numpy as np
from bokeh import __version__ as bokeh_release_ver
from bokeh.plotting import figure
from bokeh.models import (
HoverTool,
NumeralTickFormatter
)
LOADER = """
#loader {
position: absolute;
left: 20%;
top: 30%;
z-index: 1000;
border: 1... | 0.644784 | 0.287529 |
from mpf.core.config_player import ConfigPlayer
from mpf.core.randomizer import Randomizer
from mpf.core.utility_functions import Util
class RandomEventPlayer(ConfigPlayer):
"""Plays a random event based on config."""
config_file_section = 'random_event_player'
show_section = 'random_events'
__slot... | mpf/config_players/random_event_player.py | from mpf.core.config_player import ConfigPlayer
from mpf.core.randomizer import Randomizer
from mpf.core.utility_functions import Util
class RandomEventPlayer(ConfigPlayer):
"""Plays a random event based on config."""
config_file_section = 'random_event_player'
show_section = 'random_events'
__slot... | 0.785391 | 0.165189 |
# Global Imports
import time
import sys
import os
import socket
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = '127.0.0.1'
port = 8080
s.bind((host, port))
print("")
print("DanderSpritZ Listening Post is running on",host,":",port)
print("")
print("Waiting for Targets to connect...")
s.listen(1)
conn, ad... | src/c2/danderspritz/Server 5.py |
# Global Imports
import time
import sys
import os
import socket
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host = '127.0.0.1'
port = 8080
s.bind((host, port))
print("")
print("DanderSpritZ Listening Post is running on",host,":",port)
print("")
print("Waiting for Targets to connect...")
s.listen(1)
conn, ad... | 0.161552 | 0.103976 |
from hashlib import sha1
from binascii import b2a_base64
from struct import pack
# ============================================================================
# ===( MicroWebSrv2 : WebSockets Module )=====================================
# ===========================================================================... | MicroWebSrv2/mods/WebSockets.py | from hashlib import sha1
from binascii import b2a_base64
from struct import pack
# ============================================================================
# ===( MicroWebSrv2 : WebSockets Module )=====================================
# ===========================================================================... | 0.476092 | 0.063279 |