code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import librosa
import math
import numpy as np
import jukebox.utils.dist_adapter as dist
from torch.utils.data import Dataset
from jukebox.utils.dist_utils import print_all
from jukebox.utils.io import get_duration_sec, load_audio
from jukebox.data.labels import Labeller
class FilesAudioDataset(Dataset):
def __init... | jukebox/data/files_dataset.py | import librosa
import math
import numpy as np
import jukebox.utils.dist_adapter as dist
from torch.utils.data import Dataset
from jukebox.utils.dist_utils import print_all
from jukebox.utils.io import get_duration_sec, load_audio
from jukebox.data.labels import Labeller
class FilesAudioDataset(Dataset):
def __init... | 0.651577 | 0.3398 |
from logging import getLogger
from os import urandom
from urllib.parse import urlparse, urljoin, urlencode
import flask
from flask_login import current_user, login_user, \
logout_user, login_required, LoginManager
from babel.dates import format_datetime
from .user import User
from ._version import __versi... | crackomatic/flask.py | from logging import getLogger
from os import urandom
from urllib.parse import urlparse, urljoin, urlencode
import flask
from flask_login import current_user, login_user, \
logout_user, login_required, LoginManager
from babel.dates import format_datetime
from .user import User
from ._version import __versi... | 0.305076 | 0.081996 |
from .atom import atom
def preparse(tokens):
"""
Break up a tokenized source into lists; this allows input like
pl> (a, b) (c, d)
to work as expected.
"""
count_open = 0
lists = []
current_list = []
if len(tokens) == 0:
raise SyntaxError("Unexpected EOF while preparsing."... | parens/parse.py |
from .atom import atom
def preparse(tokens):
"""
Break up a tokenized source into lists; this allows input like
pl> (a, b) (c, d)
to work as expected.
"""
count_open = 0
lists = []
current_list = []
if len(tokens) == 0:
raise SyntaxError("Unexpected EOF while preparsing."... | 0.355775 | 0.364297 |
import pandas as pd
import param
import pytest
from bokeh.models.sources import ColumnDataSource
from awesome_panel_extensions.widgets.dataframe_base import (
DataFrameWithStreamAndPatchBaseWidget as DFWidget,
)
VALUE_CHANGED_COUNT = 0
# region value
@pytest.fixture
def data():
return {"x": [1, 2, 3, 4], "... | tests/widgets/test_dataframe_base.py | import pandas as pd
import param
import pytest
from bokeh.models.sources import ColumnDataSource
from awesome_panel_extensions.widgets.dataframe_base import (
DataFrameWithStreamAndPatchBaseWidget as DFWidget,
)
VALUE_CHANGED_COUNT = 0
# region value
@pytest.fixture
def data():
return {"x": [1, 2, 3, 4], "... | 0.628635 | 0.589037 |
import argparse
def main(inputfile, outputdir):
read_file = open(inputfile,"r")
lines_read = read_file.readlines()
read_file.close()
filename = inputfile.split('/')[-1]
page_id = filename.split('.')[0]
lines_to_write = []
try:
header = lines_read[0]
header_items = header.spl... | storage_machine/convertPostFile.py | import argparse
def main(inputfile, outputdir):
read_file = open(inputfile,"r")
lines_read = read_file.readlines()
read_file.close()
filename = inputfile.split('/')[-1]
page_id = filename.split('.')[0]
lines_to_write = []
try:
header = lines_read[0]
header_items = header.spl... | 0.134747 | 0.144541 |
import discord
from discord.ext import commands
import json
import urllib.request
import random
answers = []
tokenID = ""
amounts = {}
userAnswers = {}
class TriviaCog(commands.Cog):
"""
Commands for the Trivia Questions
"""
def __init__(self, bot):
self.bot = bot
# This batch of comma... | bot/cogs/trivia.py | import discord
from discord.ext import commands
import json
import urllib.request
import random
answers = []
tokenID = ""
amounts = {}
userAnswers = {}
class TriviaCog(commands.Cog):
"""
Commands for the Trivia Questions
"""
def __init__(self, bot):
self.bot = bot
# This batch of comma... | 0.436142 | 0.231766 |
import pytest
import requests
from collections import OrderedDict
from rainman2.utils import exceptions
from rainman2.lib.environment.cellular.dev import client
__author__ = '<NAME> (<EMAIL>)'
__date__ = 'Thursday, April 5th 2018, 10:58:40 am'
CELLULAR_DEV_CONFIG = OrderedDict(
NAME='Cellular',
TYPE='Dev',
... | tests/unit_tests/cellular/test_cellular_dev_client.py | import pytest
import requests
from collections import OrderedDict
from rainman2.utils import exceptions
from rainman2.lib.environment.cellular.dev import client
__author__ = '<NAME> (<EMAIL>)'
__date__ = 'Thursday, April 5th 2018, 10:58:40 am'
CELLULAR_DEV_CONFIG = OrderedDict(
NAME='Cellular',
TYPE='Dev',
... | 0.321993 | 0.237886 |
from marshmallow import fields
from ...models.base_record import BaseRecord, BaseRecordSchema
class PresentationExchange(BaseRecord):
"""Represents a presentation exchange."""
class Meta:
"""PresentationExchange metadata."""
schema_class = "PresentationExchangeSchema"
RECORD_TYPE = "p... | aries_cloudagent/messaging/presentations/models/presentation_exchange.py |
from marshmallow import fields
from ...models.base_record import BaseRecord, BaseRecordSchema
class PresentationExchange(BaseRecord):
"""Represents a presentation exchange."""
class Meta:
"""PresentationExchange metadata."""
schema_class = "PresentationExchangeSchema"
RECORD_TYPE = "p... | 0.8874 | 0.125146 |
import pprint
import re # noqa: F401
import six
class UserSettingsObject(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
a... | syntropy_sdk/models/user_settings_object.py | import pprint
import re # noqa: F401
import six
class UserSettingsObject(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
a... | 0.622918 | 0.202838 |
"""
This is a developers tool used for developing libraries and subsystems for
BBc-1 (Beyond Blockchain One), before making these pip-installable.
This tool copies source files being developed onto the core source code tree.
"""
import argparse
import os
import subprocess
DIRS = ['bbc1', 'examples', 'lib', 'tests', 'u... | devmerge.py | """
This is a developers tool used for developing libraries and subsystems for
BBc-1 (Beyond Blockchain One), before making these pip-installable.
This tool copies source files being developed onto the core source code tree.
"""
import argparse
import os
import subprocess
DIRS = ['bbc1', 'examples', 'lib', 'tests', 'u... | 0.399694 | 0.338077 |
import argparse
import json
import logging
import os
import re
from datetime import datetime
from datetime import timedelta
from babel import Locale
from babel.core import UnknownLocaleError
from googleapiclient import discovery
from googleapiclient.http import build_http
from googleapiclient.errors import HttpError
... | api.py |
import argparse
import json
import logging
import os
import re
from datetime import datetime
from datetime import timedelta
from babel import Locale
from babel.core import UnknownLocaleError
from googleapiclient import discovery
from googleapiclient.http import build_http
from googleapiclient.errors import HttpError
... | 0.300951 | 0.075483 |
import os
from rich.text import Text
def read_adventure(adventure_file, console, game_window):
import TRPG
f = open(("Adventures/" + adventure_file + ".txt"), mode="r")
lines = f.readlines()
lines = "".join(lines)
lines = lines.split("*encounter*:")[1:]
encounters = {}
for encounter_in... | Adventures/adventures.py |
import os
from rich.text import Text
def read_adventure(adventure_file, console, game_window):
import TRPG
f = open(("Adventures/" + adventure_file + ".txt"), mode="r")
lines = f.readlines()
lines = "".join(lines)
lines = lines.split("*encounter*:")[1:]
encounters = {}
for encounter_in... | 0.181191 | 0.080321 |
import grpc
from feast.core import CoreService_pb2 as feast_dot_core_dot_CoreService__pb2
from feast.specs import EntitySpec_pb2 as feast_dot_specs_dot_EntitySpec__pb2
from feast.specs import FeatureGroupSpec_pb2 as feast_dot_specs_dot_FeatureGroupSpec__pb2
from feast.specs import FeatureSpec_pb2 as feast_dot_specs_do... | sdk/python/feast/core/CoreService_pb2_grpc.py | import grpc
from feast.core import CoreService_pb2 as feast_dot_core_dot_CoreService__pb2
from feast.specs import EntitySpec_pb2 as feast_dot_specs_dot_EntitySpec__pb2
from feast.specs import FeatureGroupSpec_pb2 as feast_dot_specs_dot_FeatureGroupSpec__pb2
from feast.specs import FeatureSpec_pb2 as feast_dot_specs_do... | 0.623492 | 0.073364 |
import os
import datetime
import logging
import json
import uuid
from installed_clients.WorkspaceClient import Workspace as Workspace
from installed_clients.KBaseReportClient import KBaseReport
from installed_clients.annotation_ontology_apiServiceClient import annotation_ontology_api
import MergeMetabolicAnnotations.... | lib/MergeMetabolicAnnotations/utils/ImportAnnotationsUtil.py | import os
import datetime
import logging
import json
import uuid
from installed_clients.WorkspaceClient import Workspace as Workspace
from installed_clients.KBaseReportClient import KBaseReport
from installed_clients.annotation_ontology_apiServiceClient import annotation_ontology_api
import MergeMetabolicAnnotations.... | 0.447219 | 0.078078 |
import pytest
from pyomo.environ import ConcreteModel, Var, Constraint
from idaes.core.solvers import get_solver
from watertap.core.util.infeasible import (
print_infeasible_constraints,
print_infeasible_bounds,
print_variables_close_to_bounds,
print_constraints_close_to_bounds,
print_close_to_boun... | watertap/core/util/tests/test_infeasible.py |
import pytest
from pyomo.environ import ConcreteModel, Var, Constraint
from idaes.core.solvers import get_solver
from watertap.core.util.infeasible import (
print_infeasible_constraints,
print_infeasible_bounds,
print_variables_close_to_bounds,
print_constraints_close_to_bounds,
print_close_to_boun... | 0.451327 | 0.518851 |
import numpy as np
from .. import Fourier
from .. import LombScargle
from .. import CrossPhase
def Spectrogram(t,v,wind,slip,Method='FFT',**kwargs):
'''
Creates a spectogram using a sliding window.
Inputs
======
t : time array in seconds
v : array of values the same length as t. If using crossphase,
this ... | wavespec/Spectrogram/Spectrogram.py | import numpy as np
from .. import Fourier
from .. import LombScargle
from .. import CrossPhase
def Spectrogram(t,v,wind,slip,Method='FFT',**kwargs):
'''
Creates a spectogram using a sliding window.
Inputs
======
t : time array in seconds
v : array of values the same length as t. If using crossphase,
this ... | 0.560012 | 0.716355 |
from collections import namedtuple
from DaPy.core import is_math, is_seq, is_str
from DaPy.core import SeriesSet
from DaPy.operation import get_ranks
from .distribution import Fcdf, Ncdf
from math import sqrt
__all__ = ['ANOVA']
ANOVA_result = namedtuple('one_way_ANOVA_Result', ['F', 'pvalue'])
MoodTestResult = named... | DaPy/methods/statistic/compare_scaler.py | from collections import namedtuple
from DaPy.core import is_math, is_seq, is_str
from DaPy.core import SeriesSet
from DaPy.operation import get_ranks
from .distribution import Fcdf, Ncdf
from math import sqrt
__all__ = ['ANOVA']
ANOVA_result = namedtuple('one_way_ANOVA_Result', ['F', 'pvalue'])
MoodTestResult = named... | 0.789518 | 0.672775 |
import copy
import datetime
import graphviz
import logging
import numpy as np
import os
import sys
import pandas as pd
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.ensemble import GradientBoostingClassifi... | code/confussionGivenFile.py |
import copy
import datetime
import graphviz
import logging
import numpy as np
import os
import sys
import pandas as pd
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import BaggingClassifier
from sklearn.ensemble import ExtraTreesClassifier
from sklearn.ensemble import GradientBoostingClassifi... | 0.303422 | 0.192084 |
from OpenGL.GL import *
from math import *
import os
import pygame
from Ship import Ship
from GLText import GLText
SQRT_3 = sqrt(3.0)
SQRT_3_2 = SQRT_3 * 2
HEX_M = 1 / SQRT_3
class World(object):
"""
The world class represents and draws a Hexagon-Based Tile Map.
Origo is bottom left.
Hex Dimens... | World.py | from OpenGL.GL import *
from math import *
import os
import pygame
from Ship import Ship
from GLText import GLText
SQRT_3 = sqrt(3.0)
SQRT_3_2 = SQRT_3 * 2
HEX_M = 1 / SQRT_3
class World(object):
"""
The world class represents and draws a Hexagon-Based Tile Map.
Origo is bottom left.
Hex Dimens... | 0.691185 | 0.284116 |
from vedo.shapes import Cylinder
import yaml
import brainrender
from loguru import logger
from probeplanner.probe import Probe
from probeplanner._probe import BREGMA
from probeplanner.ui import UI
from probeplanner.terminal_ui import (
StructuresTree,
ProbeTarget,
ProbeParameters,
)
from probeplanner.hiera... | probeplanner/core.py | from vedo.shapes import Cylinder
import yaml
import brainrender
from loguru import logger
from probeplanner.probe import Probe
from probeplanner._probe import BREGMA
from probeplanner.ui import UI
from probeplanner.terminal_ui import (
StructuresTree,
ProbeTarget,
ProbeParameters,
)
from probeplanner.hiera... | 0.561696 | 0.274816 |
import pytest
import shutil
from argparse import Namespace
from pathlib import Path
import grimagents.training_wrapper
from grimagents.training_wrapper import TrainingRunInfo
@pytest.fixture
def arguments():
return [
'config/3DBall_config.yaml',
'--env',
'builds/3DBall/3DBall.exe',
... | grimagents/tests/unit/test_training_wrapper.py | import pytest
import shutil
from argparse import Namespace
from pathlib import Path
import grimagents.training_wrapper
from grimagents.training_wrapper import TrainingRunInfo
@pytest.fixture
def arguments():
return [
'config/3DBall_config.yaml',
'--env',
'builds/3DBall/3DBall.exe',
... | 0.647687 | 0.527073 |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | pymedphys/labs/managelogfiles/orchestration.py |
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | 0.832475 | 0.364891 |
import pytest
import eagerpy as ep
import numpy as np
import torch
import jax
import tensorflow as tf
from clipping_aware_rescaling import l2_clipping_aware_rescaling
from naive_rescaling import l2_naive_rescaling
def get_effective_norms(x, eta, delta, a, b):
x, eta, delta = ep.astensors(x, eta, delta)
xp = ... | test_rescaling.py | import pytest
import eagerpy as ep
import numpy as np
import torch
import jax
import tensorflow as tf
from clipping_aware_rescaling import l2_clipping_aware_rescaling
from naive_rescaling import l2_naive_rescaling
def get_effective_norms(x, eta, delta, a, b):
x, eta, delta = ep.astensors(x, eta, delta)
xp = ... | 0.826537 | 0.594669 |
import os
import sqlite3
from datetime import datetime
#Создание переменных даты и времени формата DDMMYYYYHHmm
current_year = str(datetime.now().year)
current_month = str(datetime.now().month)
current_day = str(datetime.now().day)
current_hour = str(datetime.now().hour)
current_minute = str(dateti... | main.py | import os
import sqlite3
from datetime import datetime
#Создание переменных даты и времени формата DDMMYYYYHHmm
current_year = str(datetime.now().year)
current_month = str(datetime.now().month)
current_day = str(datetime.now().day)
current_hour = str(datetime.now().hour)
current_minute = str(dateti... | 0.036735 | 0.310498 |
import arcpy
import sys, os
#---------------------------------------------------------------------------------------------
# 1. Get parameters from the toolbox using 'GetParametersAsText' method
# --> check ArcGIS help for info how to use methods
# Method info: http://resources.arcgis.com/en/help/main/10.2/index.h... | source/codes/Arcpy_3_SpeciesPoly2Raster_Iterate.py | import arcpy
import sys, os
#---------------------------------------------------------------------------------------------
# 1. Get parameters from the toolbox using 'GetParametersAsText' method
# --> check ArcGIS help for info how to use methods
# Method info: http://resources.arcgis.com/en/help/main/10.2/index.h... | 0.452052 | 0.219567 |
import datetime
from django.contrib import admin
from django.http import HttpResponseRedirect
from django.shortcuts import render
from djmoney.money import Money
from behind import settings
from payments.models import Payment, STATUS, AUTHORITY
from purchases.models import Purchase, STATE
from users.forms import Conf... | behind/users/admin.py | import datetime
from django.contrib import admin
from django.http import HttpResponseRedirect
from django.shortcuts import render
from djmoney.money import Money
from behind import settings
from payments.models import Payment, STATUS, AUTHORITY
from purchases.models import Purchase, STATE
from users.forms import Conf... | 0.351089 | 0.091951 |
from osmexit import common
from osmexit.result import (
Result, JointResult, UNKNOWN, SUCCESS, AMBIGUOUS, CONFLICT,
)
def assign_exits(node, way_in, ways_out):
algos = {
'noref': noref,
'basic': basic_junction,
'left_right': left_right_junction,
'junction_ref': junction_ref,
... | osmexit/exits.py | from osmexit import common
from osmexit.result import (
Result, JointResult, UNKNOWN, SUCCESS, AMBIGUOUS, CONFLICT,
)
def assign_exits(node, way_in, ways_out):
algos = {
'noref': noref,
'basic': basic_junction,
'left_right': left_right_junction,
'junction_ref': junction_ref,
... | 0.489748 | 0.332757 |
import pickle
from konlpy.tag import Okt
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.sequence import pad_sequences
okt = Okt()
stopwords = ['의', '가', '이', '은', '들', '는', '좀', '잘', '걍', '과', '도', '를', '으로', '자', '에', '와', '한', '하다']
max_len = 40
with open('tokenizer.pickle', 'rb')... | main.py | import pickle
from konlpy.tag import Okt
from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.sequence import pad_sequences
okt = Okt()
stopwords = ['의', '가', '이', '은', '들', '는', '좀', '잘', '걍', '과', '도', '를', '으로', '자', '에', '와', '한', '하다']
max_len = 40
with open('tokenizer.pickle', 'rb')... | 0.344774 | 0.275233 |
import numpy as np
import tensorflow as tf
from keras import backend as K
from keras.layers import Input, Lambda, Conv2D
from keras.models import load_model, Model
from keras.callbacks import TensorBoard, ModelCheckpoint, EarlyStopping, CSVLogger
from .keras_yolo import preprocess_true_boxes, yolo_body, yolo_eval, yolo... | repos/yolo/trainer.py | import numpy as np
import tensorflow as tf
from keras import backend as K
from keras.layers import Input, Lambda, Conv2D
from keras.models import load_model, Model
from keras.callbacks import TensorBoard, ModelCheckpoint, EarlyStopping, CSVLogger
from .keras_yolo import preprocess_true_boxes, yolo_body, yolo_eval, yolo... | 0.617628 | 0.307339 |
import sys
import numpy as np
import math
fname = sys.argv[1]
quantums = []
with open(fname) as f:
content = f.readlines()
content = [x.strip() for x in content]
count = 0
is_quantum = False
quantum = []
for line in content:
if line.startswith("-----------"):
quantum.append(line)
is_quantum ... | benchmarks/SimResults/combinations_spec_ml/avarageBigSmallIpcParser.py | import sys
import numpy as np
import math
fname = sys.argv[1]
quantums = []
with open(fname) as f:
content = f.readlines()
content = [x.strip() for x in content]
count = 0
is_quantum = False
quantum = []
for line in content:
if line.startswith("-----------"):
quantum.append(line)
is_quantum ... | 0.117673 | 0.286058 |
from pyomo.environ import *
model = m = ConcreteModel()
m.b1 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b2 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b3 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b4 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b5 = Var(within=Binary, bounds=(0,1), initi... | models_all_solvable2/p_ball_30b_10p_2d_h.py |
from pyomo.environ import *
model = m = ConcreteModel()
m.b1 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b2 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b3 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b4 = Var(within=Binary, bounds=(0,1), initialize=0)
m.b5 = Var(within=Binary, bounds=(0,1), initi... | 0.7237 | 0.231386 |
import logging
from os.path import expanduser, join
from hdx.facades.simple import facade
from hdx.api.configuration import Configuration
from hdx.utilities.downloader import Download
from hdx.utilities.path import progress_storing_folder, wheretostart_tempdir_batch
from faostat import download_indicatorsets, generat... | run.py | import logging
from os.path import expanduser, join
from hdx.facades.simple import facade
from hdx.api.configuration import Configuration
from hdx.utilities.downloader import Download
from hdx.utilities.path import progress_storing_folder, wheretostart_tempdir_batch
from faostat import download_indicatorsets, generat... | 0.346099 | 0.180035 |
from typing import List
import numpy as np
class DasDennis:
"""Class implementing the Das-Dennis method to generate a set of uniformly-spaced weight vectors.
The method is described in: <NAME> and <NAME>. Normal-boundary intersection:
a new method for generating the pareto surface in nonlinear multicrit... | das_dennis.py | from typing import List
import numpy as np
class DasDennis:
"""Class implementing the Das-Dennis method to generate a set of uniformly-spaced weight vectors.
The method is described in: <NAME> and <NAME>. Normal-boundary intersection:
a new method for generating the pareto surface in nonlinear multicrit... | 0.915757 | 0.591104 |
from django.conf import settings
from django.db import models
from django.urls import reverse
from django.utils.functional import cached_property
from django.utils.text import slugify
from django.utils.translation import ugettext_lazy as _
from django_countries.fields import CountryField
from martor.models import Marto... | writing/models.py | from django.conf import settings
from django.db import models
from django.urls import reverse
from django.utils.functional import cached_property
from django.utils.text import slugify
from django.utils.translation import ugettext_lazy as _
from django_countries.fields import CountryField
from martor.models import Marto... | 0.50293 | 0.091463 |
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import datetime, time, requests
import Configuration as cfg
import home.SQLTabHome as SQLTabHome
import home.FBTabHome as FBTabHome
import home.CustomMessageMgmt as CustomMessageMgmt
class TabHome(QWidget):
def __init__(self, tray... | gymms_desktop/home/TabHome.py | from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import datetime, time, requests
import Configuration as cfg
import home.SQLTabHome as SQLTabHome
import home.FBTabHome as FBTabHome
import home.CustomMessageMgmt as CustomMessageMgmt
class TabHome(QWidget):
def __init__(self, tray... | 0.341692 | 0.123418 |
import json
import logging
import requests
import salt.config
__opts__ = salt.config.minion_config("/etc/salt/minion")
__salt__ = salt.loader.minion_mods(__opts__)
log = logging.getLogger(__name__)
base_api_path = 'service/rest'
# TODO: revisit the error handling
def _get_config():
'''
Gets configuration ... | _utils/nexus3.py | import json
import logging
import requests
import salt.config
__opts__ = salt.config.minion_config("/etc/salt/minion")
__salt__ = salt.loader.minion_mods(__opts__)
log = logging.getLogger(__name__)
base_api_path = 'service/rest'
# TODO: revisit the error handling
def _get_config():
'''
Gets configuration ... | 0.160167 | 0.052473 |
from forge.match import (
compile, match, many, opt, when, choice, one, delay, lazy, trait, MatchError
)
class Action(object):
def __init__(self, label):
self.label = label
self.args = None
def __call__(self, *args):
self.args = args
return self
def __repr__(self):
... | forge/tests/test_match.py |
from forge.match import (
compile, match, many, opt, when, choice, one, delay, lazy, trait, MatchError
)
class Action(object):
def __init__(self, label):
self.label = label
self.args = None
def __call__(self, *args):
self.args = args
return self
def __repr__(self):
... | 0.617513 | 0.535281 |
from __future__ import annotations
import textwrap
from contextlib import contextmanager
from typing import (
TYPE_CHECKING, Any, Iterable, List, Optional,
)
import numpy as np
from bokeh.document import Document
from bokeh.document.events import (
ColumnDataChangedEvent, DocumentPatchedEvent, ModelChangedE... | panel/io/model.py | from __future__ import annotations
import textwrap
from contextlib import contextmanager
from typing import (
TYPE_CHECKING, Any, Iterable, List, Optional,
)
import numpy as np
from bokeh.document import Document
from bokeh.document.events import (
ColumnDataChangedEvent, DocumentPatchedEvent, ModelChangedE... | 0.807043 | 0.338596 |
from django.db import models
from core.models import TimeStampedModel, Active
from restaurants.models import Restaurant
class Category(TimeStampedModel, Active):
restaurant = models.ForeignKey(Restaurant, on_delete=models.CASCADE)
name = models.CharField("Categoria", max_length=50)
description = models.T... | products/models.py | from django.db import models
from core.models import TimeStampedModel, Active
from restaurants.models import Restaurant
class Category(TimeStampedModel, Active):
restaurant = models.ForeignKey(Restaurant, on_delete=models.CASCADE)
name = models.CharField("Categoria", max_length=50)
description = models.T... | 0.671794 | 0.169166 |
import scrapy
import re
from ..items import LaptopItem
from scrapy_selenium import SeleniumRequest
from selenium import webdriver
from scrapy.utils.project import get_project_settings
class TikiSpider(scrapy.Spider):
name = 'tiki'
allowed_domains = ['tiki.vn']
start_urls = ['https://tiki.vn/may-tinh-xach-... | laptop/spiders/tiki.py | import scrapy
import re
from ..items import LaptopItem
from scrapy_selenium import SeleniumRequest
from selenium import webdriver
from scrapy.utils.project import get_project_settings
class TikiSpider(scrapy.Spider):
name = 'tiki'
allowed_domains = ['tiki.vn']
start_urls = ['https://tiki.vn/may-tinh-xach-... | 0.105475 | 0.068725 |
import tvm
import numpy as np
from tvm.relay.ir_pass import infer_type
from tvm import relay
def test_monomorphic_let():
"Program: let x = 1; return x"
sb = relay.ScopeBuilder()
x = sb.let('x', relay.const(1.0, "float64"))
sb.ret(x)
xchecked = relay.ir_pass.infer_type(sb.get())
assert xchecked... | tests/python/relay/test_type_infer.py | import tvm
import numpy as np
from tvm.relay.ir_pass import infer_type
from tvm import relay
def test_monomorphic_let():
"Program: let x = 1; return x"
sb = relay.ScopeBuilder()
x = sb.let('x', relay.const(1.0, "float64"))
sb.ret(x)
xchecked = relay.ir_pass.infer_type(sb.get())
assert xchecked... | 0.607081 | 0.537648 |
from . import core # noqa: F401
from . import io
from . import utils
import cement
import copy
import obj_tables
import os
import os.path
import sys
import types # noqa: F401
DEFAULT_WRITER_ARGS = {
'write_empty_models': False,
'write_empty_cols': False,
}
DEFAULT_READER_ARGS = {
'allow_multiple_sheets_... | obj_tables/__main__.py | from . import core # noqa: F401
from . import io
from . import utils
import cement
import copy
import obj_tables
import os
import os.path
import sys
import types # noqa: F401
DEFAULT_WRITER_ARGS = {
'write_empty_models': False,
'write_empty_cols': False,
}
DEFAULT_READER_ARGS = {
'allow_multiple_sheets_... | 0.384797 | 0.160759 |
from decimal import Decimal
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (
assert_equal,
assert_raises_rpc_error,
)
from test_framework.blocktools import (
TIME_GENESIS_BLOCK,
)
class CreateTxWalletTest(BitcoinTestFramework):
def set_test_params(self... | test/functional/wallet_create_tx.py |
from decimal import Decimal
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (
assert_equal,
assert_raises_rpc_error,
)
from test_framework.blocktools import (
TIME_GENESIS_BLOCK,
)
class CreateTxWalletTest(BitcoinTestFramework):
def set_test_params(self... | 0.803135 | 0.465023 |
from decimal import Decimal
from .apitask import APITask
from thing.models import Character, CorporationStanding, Faction, FactionStanding
class Standings(APITask):
name = 'thing.standings'
def run(self, url, taskstate_id, apikey_id, character_id):
if self.init(taskstate_id, apikey_id) is False:
... | thing/tasks/standings.py |
from decimal import Decimal
from .apitask import APITask
from thing.models import Character, CorporationStanding, Faction, FactionStanding
class Standings(APITask):
name = 'thing.standings'
def run(self, url, taskstate_id, apikey_id, character_id):
if self.init(taskstate_id, apikey_id) is False:
... | 0.474875 | 0.112795 |
import tensorflow as tf
import argparse
import os
import json
import wandb
import logging
import math
import yaml
from datetime import datetime
from wandb.keras import WandbCallback
from regnety.models.model import RegNetY
from regnety.dataset.imagenet import ImageNet
from regnety.utils import train_utils as tutil
fr... | regnety/train.py |
import tensorflow as tf
import argparse
import os
import json
import wandb
import logging
import math
import yaml
from datetime import datetime
from wandb.keras import WandbCallback
from regnety.models.model import RegNetY
from regnety.dataset.imagenet import ImageNet
from regnety.utils import train_utils as tutil
fr... | 0.415254 | 0.098123 |
import contextlib
def read_value():
"""Reads a line as a single integer."""
return int(input())
def read_record():
"""Reads a line as a record of integers."""
return map(int, input().split())
def read_row(width):
"""Reads a grid row of the specific width."""
row = list(input().strip())
... | main/count-luck/count-luck.py |
import contextlib
def read_value():
"""Reads a line as a single integer."""
return int(input())
def read_record():
"""Reads a line as a record of integers."""
return map(int, input().split())
def read_row(width):
"""Reads a grid row of the specific width."""
row = list(input().strip())
... | 0.831451 | 0.702519 |
from mcc.graph import Edge
class EventModel:
pass
class PJEventModel(EventModel):
def __init__(self, P, J=0):
super().__init__()
self.P = P
self.J = J
def __repr__(self):
return 'P=%d, J=%d' % (self.P, self.J)
class InEventModel(EventModel):
def __init__(self, name)... | mcc/taskmodel.py | from mcc.graph import Edge
class EventModel:
pass
class PJEventModel(EventModel):
def __init__(self, P, J=0):
super().__init__()
self.P = P
self.J = J
def __repr__(self):
return 'P=%d, J=%d' % (self.P, self.J)
class InEventModel(EventModel):
def __init__(self, name)... | 0.778018 | 0.316 |
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Account',
... | apps/accounts/migrations/0001_initial.py | from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Account',
... | 0.586404 | 0.115112 |
import socket
import itertools
from types import FunctionType
from typing import Tuple
import inspect
import ray
import numpy as np
from nums.core.systems.interfaces import ComputeInterface, ComputeImp
from nums.core.systems.utils import check_implementation, extract_functions
class RayScheduler(ComputeInterface)... | nums/core/systems/schedulers.py |
import socket
import itertools
from types import FunctionType
from typing import Tuple
import inspect
import ray
import numpy as np
from nums.core.systems.interfaces import ComputeInterface, ComputeImp
from nums.core.systems.utils import check_implementation, extract_functions
class RayScheduler(ComputeInterface)... | 0.748352 | 0.25548 |
import os
import sys
import argparse
import numpy as np
## Pytorch modules.
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
fruit_names = [
'Apple Braeburn',
'Apple Golden 1',
'Apple Golden 2',
'Apple Golden 3',
'Apple Granny Smith',
'Apple Red 1'... | fruit-classification/fruit_classification.py | import os
import sys
import argparse
import numpy as np
## Pytorch modules.
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
fruit_names = [
'Apple Braeburn',
'Apple Golden 1',
'Apple Golden 2',
'Apple Golden 3',
'Apple Granny Smith',
'Apple Red 1'... | 0.64713 | 0.381508 |
from __future__ import print_function
import pytest
import uuid
from mlt.commands.events import EventsCommand
from test_utils.io import catch_stdout
@pytest.fixture
def json_mock(patch):
return patch('json')
@pytest.fixture
def open_mock(patch):
return patch('open')
@pytest.fixture
def os_path_mock(patch)... | tests/unit/commands/test_events.py |
from __future__ import print_function
import pytest
import uuid
from mlt.commands.events import EventsCommand
from test_utils.io import catch_stdout
@pytest.fixture
def json_mock(patch):
return patch('json')
@pytest.fixture
def open_mock(patch):
return patch('open')
@pytest.fixture
def os_path_mock(patch)... | 0.559771 | 0.177561 |
import numpy as np
def kashin_representation(x, u, eta=0.4, delta=0.8):
"""Computes the kashin representation of x."""
(kashin_n, _) = u.shape
a = np.zeros((kashin_n, 1))
k = 1 / ((1 - eta) * np.sqrt(delta)) # Set kashin level to be k
m = eta / np.sqrt(delta * kashin_n)
y = x
itr = int(np.log(kashin_... | rcc_dp/sqkr.py | import numpy as np
def kashin_representation(x, u, eta=0.4, delta=0.8):
"""Computes the kashin representation of x."""
(kashin_n, _) = u.shape
a = np.zeros((kashin_n, 1))
k = 1 / ((1 - eta) * np.sqrt(delta)) # Set kashin level to be k
m = eta / np.sqrt(delta * kashin_n)
y = x
itr = int(np.log(kashin_... | 0.916115 | 0.579936 |
from django import template
from django.utils.safestring import SafeString
from django.utils.html import escape
register = template.Library()
def enum_key(enum, value):
for key in enum.__dict__:
if value == getattr(enum, key):
return key
return '?'
@register.filter
def instance_status(v... | master_django/intensity/templatetags/intensity_tags.py |
from django import template
from django.utils.safestring import SafeString
from django.utils.html import escape
register = template.Library()
def enum_key(enum, value):
for key in enum.__dict__:
if value == getattr(enum, key):
return key
return '?'
@register.filter
def instance_status(v... | 0.503662 | 0.164349 |
import os
import glob
import pandas as pd
from selenium import webdriver
import time
import copy
import warnings
warnings.filterwarnings('ignore')
import pickle
def save_obj(obj, path ):
with open(path, 'wb') as f:
pickle.dump(obj, f, pickle.HIGHEST_PROTOCOL)
def load_obj(path ):
with open(p... | broadcom_scraper.py | import os
import glob
import pandas as pd
from selenium import webdriver
import time
import copy
import warnings
warnings.filterwarnings('ignore')
import pickle
def save_obj(obj, path ):
with open(path, 'wb') as f:
pickle.dump(obj, f, pickle.HIGHEST_PROTOCOL)
def load_obj(path ):
with open(p... | 0.18396 | 0.097433 |
from django.test import TestCase
from apps.log_databus.exceptions import CleanTemplateRepeatException, CleanTemplateNotExistException
from apps.log_databus.handlers.clean import CleanTemplateHandler
from apps.tests.log_databus.test_clean import TestClean
CREATE_PARAMS = {
"name": "test",
"clean_type": "bk_log... | apps/tests/log_databus/test_clean_template.py | from django.test import TestCase
from apps.log_databus.exceptions import CleanTemplateRepeatException, CleanTemplateNotExistException
from apps.log_databus.handlers.clean import CleanTemplateHandler
from apps.tests.log_databus.test_clean import TestClean
CREATE_PARAMS = {
"name": "test",
"clean_type": "bk_log... | 0.385953 | 0.316911 |
import logging
from asyncio import run
from concurrent.futures import ThreadPoolExecutor
from time import time
from typing import Dict, List, Iterable
from uuid import uuid4
import grpc
from sage.database.core.dataset import Dataset
from sage.database.core.graph import Graph
from sage.database.core.yaml_config import... | sage/grpc/grpc_server.py | import logging
from asyncio import run
from concurrent.futures import ThreadPoolExecutor
from time import time
from typing import Dict, List, Iterable
from uuid import uuid4
import grpc
from sage.database.core.dataset import Dataset
from sage.database.core.graph import Graph
from sage.database.core.yaml_config import... | 0.822581 | 0.149593 |
import numpy as np
import cv2
settings = {
'Read': {
'interpolation_method' : cv2.INTER_CUBIC,
'interpolation_k' : 2.5,
'colors' : { # Colors are [RGB_min,RGB_max,HSV_min,HSV_max]
... | Settings.py | import numpy as np
import cv2
settings = {
'Read': {
'interpolation_method' : cv2.INTER_CUBIC,
'interpolation_k' : 2.5,
'colors' : { # Colors are [RGB_min,RGB_max,HSV_min,HSV_max]
... | 0.30767 | 0.135775 |
import functools
import os
from celery.utils.log import get_task_logger
from celery import shared_task
from django.conf import settings
from django.core.mail import mail_admins, send_mail
from django.db.models import signals
from django.db import transaction
from django.dispatch import receiver
from django.urls import... | locuszoom_plotting_service/taskapp/tasks.py | import functools
import os
from celery.utils.log import get_task_logger
from celery import shared_task
from django.conf import settings
from django.core.mail import mail_admins, send_mail
from django.db.models import signals
from django.db import transaction
from django.dispatch import receiver
from django.urls import... | 0.362743 | 0.144692 |
"""Test discover_commands.py."""
from pathlib import Path
import typing as t
import uuid
import pytest
from slipbox.discover_commands import discover_commands as discover
def custom_cli_file() -> str:
"""Generate custom CLI file."""
return f"slipbox_cli_{uuid.uuid4().hex}.py"
def test_discover_with_no_cus... | tests/test_discover_commands.py | """Test discover_commands.py."""
from pathlib import Path
import typing as t
import uuid
import pytest
from slipbox.discover_commands import discover_commands as discover
def custom_cli_file() -> str:
"""Generate custom CLI file."""
return f"slipbox_cli_{uuid.uuid4().hex}.py"
def test_discover_with_no_cus... | 0.786869 | 0.495911 |
import pytest
from url2tree import url2tree
@pytest.fixture
def randomUrlData():
# TODO : Add faker for random url test
from faker import Faker
fake = Faker()
domain = fake.url()
url_logs = [(domain + fake.uri_path(), 1) for _ in range(100)]
while True:
domain2 = fake.url()
i... | tests/test_url2tree.py | import pytest
from url2tree import url2tree
@pytest.fixture
def randomUrlData():
# TODO : Add faker for random url test
from faker import Faker
fake = Faker()
domain = fake.url()
url_logs = [(domain + fake.uri_path(), 1) for _ in range(100)]
while True:
domain2 = fake.url()
i... | 0.22093 | 0.470676 |
from flask import Blueprint
from flasgger import swag_from
from .api_utils import validate_asns, validate_policies, format_json, dictify
__author__ = "<NAME>"
__credits__ = ["<NAME>"]
__Lisence__ = "BSD"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Development"
policies_app = Blueprint("policies_app... | lib_bgp_data/forecast/api/policies.py | from flask import Blueprint
from flasgger import swag_from
from .api_utils import validate_asns, validate_policies, format_json, dictify
__author__ = "<NAME>"
__credits__ = ["<NAME>"]
__Lisence__ = "BSD"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__status__ = "Development"
policies_app = Blueprint("policies_app... | 0.796649 | 0.252753 |
"""Unit tests for the processes module."""
import unittest
import mock
from apache_beam.utils import processes
class Exec(unittest.TestCase):
def setUp(self):
pass
@mock.patch('apache_beam.utils.processes.subprocess')
def test_method_forwarding_not_windows(self, *unused_mocks):
# Test that the corr... | sdks/python/apache_beam/utils/processes_test.py | """Unit tests for the processes module."""
import unittest
import mock
from apache_beam.utils import processes
class Exec(unittest.TestCase):
def setUp(self):
pass
@mock.patch('apache_beam.utils.processes.subprocess')
def test_method_forwarding_not_windows(self, *unused_mocks):
# Test that the corr... | 0.807764 | 0.501038 |
import sys
import urllib2
from bs4 import BeautifulSoup, Comment
dokuwikipageid = "start"
attributes = ["id", "class"]
def getExportFromWiki():
dokuwikipageid = sys.argv[-1]
url = "http://wiki.local/doku.php?id=" + dokuwikipageid + "&do=export_xhtmlbody"
response = urllib2.urlopen(url)
html = response... | DokuwikiToConfluence.py | import sys
import urllib2
from bs4 import BeautifulSoup, Comment
dokuwikipageid = "start"
attributes = ["id", "class"]
def getExportFromWiki():
dokuwikipageid = sys.argv[-1]
url = "http://wiki.local/doku.php?id=" + dokuwikipageid + "&do=export_xhtmlbody"
response = urllib2.urlopen(url)
html = response... | 0.203075 | 0.062674 |
__author__ = '<NAME>'
from datetime import datetime
import requests
import turtle
import time
def main():
r = requests.get("http://api.open-notify.org/astros.json").json()
print(f'There are {r.get("number")} astronauts on the ISS.')
print(f'Their names are: \n')
for names in r.get("people"):
... | iss.py |
__author__ = '<NAME>'
from datetime import datetime
import requests
import turtle
import time
def main():
r = requests.get("http://api.open-notify.org/astros.json").json()
print(f'There are {r.get("number")} astronauts on the ISS.')
print(f'Their names are: \n')
for names in r.get("people"):
... | 0.178777 | 0.13288 |
import numpy as np
def line_area_intersection(l_src, l_tar):
"""
calculate the overlapping area
:param l_src: gt(N)
:param l_tar: est(1)
:return: est-> overlapping area to each gt
"""
N =len(l_src)
idx_valid = [False for i in range(N)]
pd_covered = np.zeros(N)
vec_base = l_src[:... | Metrics/LAP/lib/line_intersection.py | import numpy as np
def line_area_intersection(l_src, l_tar):
"""
calculate the overlapping area
:param l_src: gt(N)
:param l_tar: est(1)
:return: est-> overlapping area to each gt
"""
N =len(l_src)
idx_valid = [False for i in range(N)]
pd_covered = np.zeros(N)
vec_base = l_src[:... | 0.355775 | 0.510192 |
import warnings
import sunpy.net.attrs as a
from sunpy.net.attr import AttrAnd, AttrOr, AttrWalker, DataAttr, SimpleAttr
from sunpy.util.exceptions import SunpyDeprecationWarning
__all__ = ['Product']
class Product(SimpleAttr):
"""
The data product identifier to search for.
"""
class Identifier(Produc... | sunpy_soar/attrs.py | import warnings
import sunpy.net.attrs as a
from sunpy.net.attr import AttrAnd, AttrOr, AttrWalker, DataAttr, SimpleAttr
from sunpy.util.exceptions import SunpyDeprecationWarning
__all__ = ['Product']
class Product(SimpleAttr):
"""
The data product identifier to search for.
"""
class Identifier(Produc... | 0.72331 | 0.473718 |
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))))
from daliMasterRPI import daliMaster, defines
master = daliMaster.daliMaster()
masterAddress = defines.LW14_I2C_ADDRESS
if len(sys.argv) > 1 :
masterAddress = sys.argv[1]
if master.begin(masterAd... | examples/shellControl/shellControl.py |
import os
import sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))))
from daliMasterRPI import daliMaster, defines
master = daliMaster.daliMaster()
masterAddress = defines.LW14_I2C_ADDRESS
if len(sys.argv) > 1 :
masterAddress = sys.argv[1]
if master.begin(masterAd... | 0.124399 | 0.203965 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.patches import Ellipse
import string
def corrplot(data, pvalues, labels):
"""Creates a correlation plot of the passed data.
The function returns the plot which can then be shown with
plot.show(), saved to a file ... | utils/corrplot.py | import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.patches import Ellipse
import string
def corrplot(data, pvalues, labels):
"""Creates a correlation plot of the passed data.
The function returns the plot which can then be shown with
plot.show(), saved to a file ... | 0.793946 | 0.8156 |
from django.db import models
from django import forms
from .backend import Factory
import datetime
class Category(models.Model):
'''Category whre all items are included'''
name = models.CharField(max_length=50, unique=True)
description = models.TextField(max_length=400)
def __str__(self):
return self.name
clas... | stock/models.py | from django.db import models
from django import forms
from .backend import Factory
import datetime
class Category(models.Model):
'''Category whre all items are included'''
name = models.CharField(max_length=50, unique=True)
description = models.TextField(max_length=400)
def __str__(self):
return self.name
clas... | 0.516595 | 0.076064 |
import gym
import numpy as np
import pandas as pd
import random
import matplotlib
import torch as T
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from gym_pybullet_drones.envs.single_agent_rl.TakeoffAviary import TakeoffAviary
from gym_pybullet_drones.envs.single_agent_rl.HoverAviar... | experiments/learning/test_ddpg.py | import gym
import numpy as np
import pandas as pd
import random
import matplotlib
import torch as T
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from gym_pybullet_drones.envs.single_agent_rl.TakeoffAviary import TakeoffAviary
from gym_pybullet_drones.envs.single_agent_rl.HoverAviar... | 0.914495 | 0.430028 |
import abc
import logging
import os
import warnings
from typing import Dict, Any
import six.moves.urllib_parse as urlparse
import requests
from .exceptions import InvalidTokenError
from .exceptions import UnknownAuthenticationScheme
from .exceptions import ImmutaCredentialsError
class AuthScheme(object):
__meta... | fh_immuta_utils/authenticate.py |
import abc
import logging
import os
import warnings
from typing import Dict, Any
import six.moves.urllib_parse as urlparse
import requests
from .exceptions import InvalidTokenError
from .exceptions import UnknownAuthenticationScheme
from .exceptions import ImmutaCredentialsError
class AuthScheme(object):
__meta... | 0.745584 | 0.06666 |
from typing import Optional
import logging
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT, FigureCanvasQTAgg
from matplotlib.figure import Figure
from matplotlib.axes import Axes
from matplotlib.widgets import SpanSelector
from .processingwindow import ProcessingWindow
from .merging_ui import Ui_... | cct/qtgui2/processingmain/merging.py | from typing import Optional
import logging
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT, FigureCanvasQTAgg
from matplotlib.figure import Figure
from matplotlib.axes import Axes
from matplotlib.widgets import SpanSelector
from .processingwindow import ProcessingWindow
from .merging_ui import Ui_... | 0.666388 | 0.157105 |
import urllib
from typing import Optional
import re
import markdown
from markdown.inlinepatterns import LinkInlineProcessor, LINK_RE, ImageReferenceInlineProcessor, IMAGE_REFERENCE_RE, IMAGE_LINK_RE, ImageInlineProcessor
from urllib.parse import urlparse
from django.core.exceptions import ValidationError
from django.c... | library/my_md.py | import urllib
from typing import Optional
import re
import markdown
from markdown.inlinepatterns import LinkInlineProcessor, LINK_RE, ImageReferenceInlineProcessor, IMAGE_REFERENCE_RE, IMAGE_LINK_RE, ImageInlineProcessor
from urllib.parse import urlparse
from django.core.exceptions import ValidationError
from django.c... | 0.586049 | 0.108283 |
import unittest
from datetime import datetime
from datetime import timedelta
from programy.services.library.base import PythonAPIService
from programy.services.library.base import PythonAPIServiceException
from programy.services.config import ServiceConfiguration
class PythonAPIServiceExceptionTests(unittest.TestCase... | test/programytest/services/library/test_base.py | import unittest
from datetime import datetime
from datetime import timedelta
from programy.services.library.base import PythonAPIService
from programy.services.library.base import PythonAPIServiceException
from programy.services.config import ServiceConfiguration
class PythonAPIServiceExceptionTests(unittest.TestCase... | 0.696371 | 0.441793 |
# pylint: disable=invalid-name
# pylint: disable=no-else-return
import re
from logging import getLogger
from ggrc.maintenance import maintenance_app
from ggrc import db
from ggrc import migrate
from ggrc import settings
from ggrc.models.maintenance import Maintenance
from ggrc.models.maintenance import MigrationLog
... | src/ggrc/maintenance_views/maintenance.py | # pylint: disable=invalid-name
# pylint: disable=no-else-return
import re
from logging import getLogger
from ggrc.maintenance import maintenance_app
from ggrc import db
from ggrc import migrate
from ggrc import settings
from ggrc.models.maintenance import Maintenance
from ggrc.models.maintenance import MigrationLog
... | 0.414069 | 0.069637 |
import asyncio
import json
import os
import random
import aiowirecard
async def main():
wirecard = aiowirecard.Wirecard(environment='sandbox', key=os.environ['WIRECARD_KEY'],
token=os.environ['WIRECARD_TOKEN'])
print('Creating customer...')
customer = {
"ownId"... | tests/test.py | import asyncio
import json
import os
import random
import aiowirecard
async def main():
wirecard = aiowirecard.Wirecard(environment='sandbox', key=os.environ['WIRECARD_KEY'],
token=os.environ['WIRECARD_TOKEN'])
print('Creating customer...')
customer = {
"ownId"... | 0.18396 | 0.238495 |
"""BitBoxBase"""
from typing import Optional
import serial
from bitbox02 import communication
from bitbox02.communication.devices import DeviceInfo
from bitbox02.communication.generated import bitboxbase_pb2 as bitboxbase
from bitbox02.communication.generated import hww_pb2 as hww
def get_bitboxbase_default_devic... | py/bitbox02/bitbox02/bitboxbase/bitboxbase.py | """BitBoxBase"""
from typing import Optional
import serial
from bitbox02 import communication
from bitbox02.communication.devices import DeviceInfo
from bitbox02.communication.generated import bitboxbase_pb2 as bitboxbase
from bitbox02.communication.generated import hww_pb2 as hww
def get_bitboxbase_default_devic... | 0.883494 | 0.117243 |
import ctypes
import datetime
import os
from six.moves import winreg
VALUE_CURRENT = 0
VALUE_MIN = 1
VALUE_MAX = 2
class RailDriver(object):
dll = None
_restypes = {
'GetControllerList': ctypes.c_char_p,
'GetLocoName': ctypes.c_char_p,
'GetControllerValue': ctypes.c_float,
}
... | raildriver/library.py | import ctypes
import datetime
import os
from six.moves import winreg
VALUE_CURRENT = 0
VALUE_MIN = 1
VALUE_MAX = 2
class RailDriver(object):
dll = None
_restypes = {
'GetControllerList': ctypes.c_char_p,
'GetLocoName': ctypes.c_char_p,
'GetControllerValue': ctypes.c_float,
}
... | 0.766294 | 0.204998 |
import sys
import torch
from torch import nn, optim
from torch.nn import functional as F
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset
from tqdm.auto import tqdm
from nlptoolkit.data.utils.utils import load_sentence_polarity
sys.path.append('../../')
class CnnDataset(... | examples/sentence_polarity/cnn_sent_polarity.py | import sys
import torch
from torch import nn, optim
from torch.nn import functional as F
from torch.nn.utils.rnn import pad_sequence
from torch.utils.data import DataLoader, Dataset
from tqdm.auto import tqdm
from nlptoolkit.data.utils.utils import load_sentence_polarity
sys.path.append('../../')
class CnnDataset(... | 0.806967 | 0.50177 |
import os
import pygame
class Sound():
"""Load game sounds and make them available to play.
This class follows the singleton design pattern. """
_instance = None
_sounds = {}
def __new__(cls):
if cls._instance is None:
cls._instance = super(Sound, cls).__new__(cls)
... | sound.py | import os
import pygame
class Sound():
"""Load game sounds and make them available to play.
This class follows the singleton design pattern. """
_instance = None
_sounds = {}
def __new__(cls):
if cls._instance is None:
cls._instance = super(Sound, cls).__new__(cls)
... | 0.468791 | 0.174551 |
from rich.table import Table
from rich.console import Console
from io import StringIO
from rich import print
import pandas as pd
from loguru import logger
from myterial import orange, amber, pink, light_green, blue_grey_lighter
from refy.authors import get_authors
class Suggestions:
def __init__(self, suggestio... | refy/suggestions.py | from rich.table import Table
from rich.console import Console
from io import StringIO
from rich import print
import pandas as pd
from loguru import logger
from myterial import orange, amber, pink, light_green, blue_grey_lighter
from refy.authors import get_authors
class Suggestions:
def __init__(self, suggestio... | 0.743541 | 0.386213 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
from scipy import linalg
from scipy.stats import multivariate_normal
import pyprobml_utils as pml
mu_1 = np.array([[0.22], [0.45]])
mu_2 = np.array([[0.5], [0.5]])
mu_3 = np.array([[0.77], [0.55]])
Mu = np.array([mu_1, mu_2, mu_3])
Sigma1... | scripts/gmm_plot_demo.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
from scipy import linalg
from scipy.stats import multivariate_normal
import pyprobml_utils as pml
mu_1 = np.array([[0.22], [0.45]])
mu_2 = np.array([[0.5], [0.5]])
mu_3 = np.array([[0.77], [0.55]])
Mu = np.array([mu_1, mu_2, mu_3])
Sigma1... | 0.627267 | 0.807157 |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from mpl_toolkits.axes_grid1 import make_axes_locatable
from ...formatting import dataframe_to_string
from ..binning_statistics import _check_build_parameters
from ..binning_statistics import _check_is_built
from ..binning_statistics import Binni... | optbinning/binning/multidimensional/binning_statistics_2d.py |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from mpl_toolkits.axes_grid1 import make_axes_locatable
from ...formatting import dataframe_to_string
from ..binning_statistics import _check_build_parameters
from ..binning_statistics import _check_is_built
from ..binning_statistics import Binni... | 0.756358 | 0.819352 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from radiomanager_sdk.api_client import ApiClient
class BroadcastApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.... | radiomanager_sdk/api/broadcast_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from radiomanager_sdk.api_client import ApiClient
class BroadcastApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.... | 0.718594 | 0.052912 |
# UPDATE:
# @Time : 2020/11/24, 2020/12/29, 2020/12/17
# @Author : <NAME>, <NAME>, <NAME>
# @Email : <EMAIL>, <EMAIL>, <EMAIL>
"""Data module which reads, processes and batches data for the whole system
Attributes:
dataset_register_table (dict): record all supported dataset
dataset_language_map (dict): re... | crslab/data/__init__.py |
# UPDATE:
# @Time : 2020/11/24, 2020/12/29, 2020/12/17
# @Author : <NAME>, <NAME>, <NAME>
# @Email : <EMAIL>, <EMAIL>, <EMAIL>
"""Data module which reads, processes and batches data for the whole system
Attributes:
dataset_register_table (dict): record all supported dataset
dataset_language_map (dict): re... | 0.784855 | 0.440048 |
from IPython.display import display, Markdown,Latex,HTML
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from pathlib import Path
import _pickle as cPickle
def load(stage='raw',reapply=False,input_path='../Data',input_name='oasis3'):
input_file = f'{input_path}/proc... | files/preprocessing.py | from IPython.display import display, Markdown,Latex,HTML
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from pathlib import Path
import _pickle as cPickle
def load(stage='raw',reapply=False,input_path='../Data',input_name='oasis3'):
input_file = f'{input_path}/proc... | 0.385837 | 0.254567 |
from manimlib.imports import *
from manimlib.mobject.svg.svg_mobject import *
from manimlib.animation.indication import *
from manimlib.animation.transform import *
import math
import manimlib.constants as consts
L,U,R,D = LEFT, UP, RIGHT, DOWN
class Scene1(Scene):
def construct(self):
integersgroup = Te... | groups.py | from manimlib.imports import *
from manimlib.mobject.svg.svg_mobject import *
from manimlib.animation.indication import *
from manimlib.animation.transform import *
import math
import manimlib.constants as consts
L,U,R,D = LEFT, UP, RIGHT, DOWN
class Scene1(Scene):
def construct(self):
integersgroup = Te... | 0.255529 | 0.320197 |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from imagekit.models import ProcessedImageField
from imagekit.processors import ResizeToFill
from statistics import median
from datetime import datetime, timedelta, timezone
class Country(models.Model):
"""!
Countries of... | limebet/data/models.py | from django.db import models
from django.utils.translation import ugettext_lazy as _
from imagekit.models import ProcessedImageField
from imagekit.processors import ResizeToFill
from statistics import median
from datetime import datetime, timedelta, timezone
class Country(models.Model):
"""!
Countries of... | 0.766992 | 0.226891 |
import sys
from zope.interface import provider
from twisted.plugin import IPlugin
from twisted.python.usage import Options
from twisted.python import reflect
from twisted.application.service import IServiceMaker
@provider(IPlugin, IServiceMaker)
class AMPoulePlugin(object):
"""
This plugin provides ways to cre... | twisted/plugins/ampoule_plugin.py | import sys
from zope.interface import provider
from twisted.plugin import IPlugin
from twisted.python.usage import Options
from twisted.python import reflect
from twisted.application.service import IServiceMaker
@provider(IPlugin, IServiceMaker)
class AMPoulePlugin(object):
"""
This plugin provides ways to cre... | 0.428951 | 0.210543 |
from unittest import TestCase
import glob
import os
import numpy as np
from ibeatles.utilities.load_data import LoadData
class TestLoadData(TestCase):
def setUp(self):
_file_path = os.path.dirname(__file__)
self.data_path = os.path.abspath(os.path.join(_file_path, '../../data/'))
def test_l... | tests/ibeatles/utilities/test_load_data.py | from unittest import TestCase
import glob
import os
import numpy as np
from ibeatles.utilities.load_data import LoadData
class TestLoadData(TestCase):
def setUp(self):
_file_path = os.path.dirname(__file__)
self.data_path = os.path.abspath(os.path.join(_file_path, '../../data/'))
def test_l... | 0.506591 | 0.463262 |
import numpy as np
import PIL.Image as pil
from flask import Flask, request, redirect, url_for, render_template, json, jsonify
from model import model
import re
import base64
import tensorflow as tf
app = Flask(__name__)
# Create tensorflow placeholders and load stored values from trained session
x = tf.placeholder(... | digit_reader.py |
import numpy as np
import PIL.Image as pil
from flask import Flask, request, redirect, url_for, render_template, json, jsonify
from model import model
import re
import base64
import tensorflow as tf
app = Flask(__name__)
# Create tensorflow placeholders and load stored values from trained session
x = tf.placeholder(... | 0.63023 | 0.351061 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
class DataFactory(object):
"""singletance pattern
"""
__instance = None
def __new__(clz, real_data=None):
if not DataFactory.__instance:
... | src/system/utils.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
class DataFactory(object):
"""singletance pattern
"""
__instance = None
def __new__(clz, real_data=None):
if not DataFactory.__instance:
... | 0.64579 | 0.402656 |
from Chunk import *
from PythonEuterpea import *
from GMInstruments import *
from copy import deepcopy
from MidiReader import *
def extractChord(startChunk, chunks):
'''
Locate well-formed chords of Chunks with the same onsets and durations
:param startChunk: Chunk to compare against
:param chunks: Al... | PythonEuterpeaN/FromMidi2.py | from Chunk import *
from PythonEuterpea import *
from GMInstruments import *
from copy import deepcopy
from MidiReader import *
def extractChord(startChunk, chunks):
'''
Locate well-formed chords of Chunks with the same onsets and durations
:param startChunk: Chunk to compare against
:param chunks: Al... | 0.625324 | 0.49823 |
import pygal
import pandas as pd
from pygal.style import Style
from pygal.style import DefaultStyle
def line_chart_24h(df):
temperature_list = df["Temperature"].tolist()
humidity_list = df["Humidity"].tolist()
x_labels = []
for time in df.Timestamp:
m = time[11:16]
x_labels.append(m)
... | app/helper/line_chart_24h.py | import pygal
import pandas as pd
from pygal.style import Style
from pygal.style import DefaultStyle
def line_chart_24h(df):
temperature_list = df["Temperature"].tolist()
humidity_list = df["Humidity"].tolist()
x_labels = []
for time in df.Timestamp:
m = time[11:16]
x_labels.append(m)
... | 0.51879 | 0.293518 |
from radcad.engine import Engine
from collections import namedtuple
RunArgs = namedtuple("RunArgs", "simulation timesteps run subset initial_state state_update_blocks parameters deepcopy drop_substeps")
Context = namedtuple("Context", "simulation run subset timesteps initial_state parameters")
class Model:
def _... | pool_v0.1_1agent_timestep/radcad/wrappers.py | from radcad.engine import Engine
from collections import namedtuple
RunArgs = namedtuple("RunArgs", "simulation timesteps run subset initial_state state_update_blocks parameters deepcopy drop_substeps")
Context = namedtuple("Context", "simulation run subset timesteps initial_state parameters")
class Model:
def _... | 0.866033 | 0.459379 |
import unittest
import requests
from versa_plugin.versaclient import VersaClient
import versa_plugin.cgnat
from versa_plugin.cgnat import AddressRange
import configuration
requests.packages.urllib3.disable_warnings()
class CgnatTestCase(unittest.TestCase):
def setUp(self):
self.config = configuration.dat... | tests/integration/test_cgnat.py |
import unittest
import requests
from versa_plugin.versaclient import VersaClient
import versa_plugin.cgnat
from versa_plugin.cgnat import AddressRange
import configuration
requests.packages.urllib3.disable_warnings()
class CgnatTestCase(unittest.TestCase):
def setUp(self):
self.config = configuration.dat... | 0.316158 | 0.205934 |
import gen_layer
import math
label_source = "/ssd/ijcai18/data/agnews" #training and testing label generated by 'gen_data.py'
data_source = "/ssd/ijcai18/data/agnews" #training and testing data generated by 'gen_data.py'
local_dict_source = "/ssd/ijcai18/data/agnews/local_dict.txt" #local dict generated by 'gen_data.p... | script/gen_model.py | import gen_layer
import math
label_source = "/ssd/ijcai18/data/agnews" #training and testing label generated by 'gen_data.py'
data_source = "/ssd/ijcai18/data/agnews" #training and testing data generated by 'gen_data.py'
local_dict_source = "/ssd/ijcai18/data/agnews/local_dict.txt" #local dict generated by 'gen_data.p... | 0.384565 | 0.175467 |
from django.utils.translation import ugettext as _
from rest_framework import serializers
class CreateBulkProcessSerializer(serializers.Serializer):
"""
多个modeling processing创建校验器
参数如下：
{
"sql_list" : [sql1, sql2],
"bk_biz_id": 591,
"project_id": 13105,
"type": "datala... | src/api/dataflow/modeling/processing/processing_serializer.py | from django.utils.translation import ugettext as _
from rest_framework import serializers
class CreateBulkProcessSerializer(serializers.Serializer):
"""
多个modeling processing创建校验器
参数如下：
{
"sql_list" : [sql1, sql2],
"bk_biz_id": 591,
"project_id": 13105,
"type": "datala... | 0.580352 | 0.275344 |
import flask
import pytest
# Rewrites the path so the app can be imported like it normally is
import os
import sys
topdir = os.path.join(os.path.dirname(__file__), "..")
sys.path.append(topdir)
from app import app
INVALID_USER = dict(
username="invalid",
password="<PASSWORD>"
)
TEST_ENDPOINTS = [
'/',
... | src/tests/test_api.py | import flask
import pytest
# Rewrites the path so the app can be imported like it normally is
import os
import sys
topdir = os.path.join(os.path.dirname(__file__), "..")
sys.path.append(topdir)
from app import app
INVALID_USER = dict(
username="invalid",
password="<PASSWORD>"
)
TEST_ENDPOINTS = [
'/',
... | 0.357231 | 0.133556 |
from gevent.monkey import patch_all
patch_all()
import os
import time
import logging
from datetime import datetime
from flask import Flask, render_template, jsonify, abort, redirect, url_for, flash, request
from flask_wtf import FlaskForm
from gevent import Greenlet, sleep
from sqlalchemy import create_engine, Column... | sprink/app_server.py | from gevent.monkey import patch_all
patch_all()
import os
import time
import logging
from datetime import datetime
from flask import Flask, render_template, jsonify, abort, redirect, url_for, flash, request
from flask_wtf import FlaskForm
from gevent import Greenlet, sleep
from sqlalchemy import create_engine, Column... | 0.537284 | 0.112869 |