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 subprocess
import os
import zmq
import time
import pytest
from loguru import logger
@pytest.mark.skip()
class TestClass:
"""Benchmars on the models in npc_engine/resources/models"""
def setup_class(cls):
logger.info("GPU VRAM Before starting inference engine:")
os.system(... | tests/benchmarks/benchmark.py | import subprocess
import os
import zmq
import time
import pytest
from loguru import logger
@pytest.mark.skip()
class TestClass:
"""Benchmars on the models in npc_engine/resources/models"""
def setup_class(cls):
logger.info("GPU VRAM Before starting inference engine:")
os.system(... | 0.218836 | 0.136464 |
from subprocess import call
from argparse import ArgumentParser
from re import sub
class voice:
def __init__(self):
"""
:param text : файл(путь/имя), начальная страница, финальная страница
:type text : text
:param reading : переключатель чтени... | voice.py | from subprocess import call
from argparse import ArgumentParser
from re import sub
class voice:
def __init__(self):
"""
:param text : файл(путь/имя), начальная страница, финальная страница
:type text : text
:param reading : переключатель чтени... | 0.314156 | 0.164483 |
# http://www.apache.org/licenses/LICENSE-2.0.html
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language govern... | Model/lookalike-model/validations/validation_plan_1.py |
# http://www.apache.org/licenses/LICENSE-2.0.html
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language govern... | 0.661814 | 0.281795 |
from torch.utils.data import Dataset
import h5py
import torch
import torchvision
import numpy as np
class HandSigns(Dataset):
def __init__(self, train: bool, transform=None, target_transform=None):
'''
Note: the parameter 'transform' overriden by Normalize transform
under the train-mode (i... | projects/deep-learning/data/loaders/hand_signs.py | from torch.utils.data import Dataset
import h5py
import torch
import torchvision
import numpy as np
class HandSigns(Dataset):
def __init__(self, train: bool, transform=None, target_transform=None):
'''
Note: the parameter 'transform' overriden by Normalize transform
under the train-mode (i... | 0.843863 | 0.471649 |
from abc import ABCMeta
from abc import abstractmethod
from .bbox3d_util import (
rbbox2d_to_near_bbox,
iou_jit,
distance_similarity
)
# Region Similarity
class RegionSimilarityCalculator(object):
"""Abstract base class for 2d region similarity calculator."""
__metaclass__ = ABCMeta
def compa... | mvt/utils/similarity3d_util.py | from abc import ABCMeta
from abc import abstractmethod
from .bbox3d_util import (
rbbox2d_to_near_bbox,
iou_jit,
distance_similarity
)
# Region Similarity
class RegionSimilarityCalculator(object):
"""Abstract base class for 2d region similarity calculator."""
__metaclass__ = ABCMeta
def compa... | 0.955569 | 0.563678 |
import cgi
import cgitb
import time
import os
import sqlite3
import urlparse
import subprocess
import Cookie
import math
cgitb.enable()
def htmlTop():
print("Content-type:text/html\n\n")
print("<!DOCTYPE html>")
print("<html lang='en'>")
print("<head>")
print("<meta charset='utf-8'/>")
print("<title>prj</title>... | cgi-bin/index.py |
import cgi
import cgitb
import time
import os
import sqlite3
import urlparse
import subprocess
import Cookie
import math
cgitb.enable()
def htmlTop():
print("Content-type:text/html\n\n")
print("<!DOCTYPE html>")
print("<html lang='en'>")
print("<head>")
print("<meta charset='utf-8'/>")
print("<title>prj</title>... | 0.035195 | 0.039232 |
import numpy as np
from torch.utils.data import Dataset
from .dataset import PairDataset, InstanceDataset
from neuron.config import registry
from neuron import ops
from collections import OrderedDict
__all__ = ['Seq2Pair', 'Image2Pair', 'Seq2Instance', 'Subset', 'Slice',
'RandomConcat']
@registry.regist... | utils/neuron/data/datasets/structure.py | import numpy as np
from torch.utils.data import Dataset
from .dataset import PairDataset, InstanceDataset
from neuron.config import registry
from neuron import ops
from collections import OrderedDict
__all__ = ['Seq2Pair', 'Image2Pair', 'Seq2Instance', 'Subset', 'Slice',
'RandomConcat']
@registry.regist... | 0.757301 | 0.426023 |
from __future__ import annotations
import os
import pickle
import sys
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
from scipy import sparse
import util.tamer as tamer
from util import utils
from util.constants import *
from util.groups imp... | util/datahandler.py | from __future__ import annotations
import os
import pickle
import sys
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from bs4 import BeautifulSoup
from scipy import sparse
import util.tamer as tamer
from util import utils
from util.constants import *
from util.groups imp... | 0.632049 | 0.276249 |
import functools
import sys
import warnings
import arviz as az
# Makes this module as identical to arviz.plots as possible
for attr in az.plots.__all__:
obj = getattr(az.plots, attr)
if not attr.startswith("__"):
setattr(sys.modules[__name__], attr, obj)
def map_args(func, alias: str):
@functool... | pymc3/plots/__init__.py | import functools
import sys
import warnings
import arviz as az
# Makes this module as identical to arviz.plots as possible
for attr in az.plots.__all__:
obj = getattr(az.plots, attr)
if not attr.startswith("__"):
setattr(sys.modules[__name__], attr, obj)
def map_args(func, alias: str):
@functool... | 0.594198 | 0.294069 |
from sfepy.base.base import *
from sfepy.fem import *
from sfepy.applications import pde_solve
try:
import matplotlib as mpl
mpl.use('WXAgg')
from matplotlib.pyplot import *
except:
pass
def conditional_import(is_viewer):
if is_viewer:
from sfepy.postprocess import Viewer
return locals... | sfepy/interactive/__init__.py | from sfepy.base.base import *
from sfepy.fem import *
from sfepy.applications import pde_solve
try:
import matplotlib as mpl
mpl.use('WXAgg')
from matplotlib.pyplot import *
except:
pass
def conditional_import(is_viewer):
if is_viewer:
from sfepy.postprocess import Viewer
return locals... | 0.233008 | 0.088465 |
import sys
import glob
import copy
import math
import time
from pathlib import Path
import numpy as np
from scipy.spatial.transform import Rotation
import open3d as o3d
import matplotlib.pyplot as plt
import cv2 as cv
from . image_depth import ImageDepth
from cpp.pose_graph import optimize_pose_graph_with_matches, opt... | lib/process3d.py | import sys
import glob
import copy
import math
import time
from pathlib import Path
import numpy as np
from scipy.spatial.transform import Rotation
import open3d as o3d
import matplotlib.pyplot as plt
import cv2 as cv
from . image_depth import ImageDepth
from cpp.pose_graph import optimize_pose_graph_with_matches, opt... | 0.338842 | 0.342709 |
import numpy as np
import sklearn
from sklearn.preprocessing import LabelEncoder
import pickle
from sensor_stick.srv import GetNormals
from sensor_stick.features import compute_color_histograms
from sensor_stick.features import compute_normal_histograms
from visualization_msgs.msg import Marker
from sensor_stick.ma... | pr2_robot/sensor_stick/scripts/object_recognition.py |
import numpy as np
import sklearn
from sklearn.preprocessing import LabelEncoder
import pickle
from sensor_stick.srv import GetNormals
from sensor_stick.features import compute_color_histograms
from sensor_stick.features import compute_normal_histograms
from visualization_msgs.msg import Marker
from sensor_stick.ma... | 0.264928 | 0.317903 |
from inspect import Signature, signature
from typing import Callable, ClassVar
from attrs import Factory, define, has
from cattrs import Converter
from flask import Flask
from flask import Response as FrameworkResponse
from flask import request
from incant import Hook, Incanter
try:
from orjson import loads
excep... | src/uapi/flask.py | from inspect import Signature, signature
from typing import Callable, ClassVar
from attrs import Factory, define, has
from cattrs import Converter
from flask import Flask
from flask import Response as FrameworkResponse
from flask import request
from incant import Hook, Incanter
try:
from orjson import loads
excep... | 0.756178 | 0.07627 |
import functools
try: # pragma: no cover
import simplejson as json
except ImportError:# pragma: no cover
import json
from twisted.web.resource import Resource
from txyoga import errors, interface
def forContentType(contentType):
def decorator(encoder):
encoder.contentType = contentType
r... | txyoga/serializers.py | import functools
try: # pragma: no cover
import simplejson as json
except ImportError:# pragma: no cover
import json
from twisted.web.resource import Resource
from txyoga import errors, interface
def forContentType(contentType):
def decorator(encoder):
encoder.contentType = contentType
r... | 0.604049 | 0.216508 |
# --------- Hardware Definition ---------
# Define what Hardware you ar running on by
# Comment out all except the platform you
# are running on
HW = "RPi-3B" # Raspberry Pi 3 Model B
#HW = "OPi0-H2" # Orange Pi Zero with H2 Chipset
# --- I2C Hardware
# PCA9685
number_of_pca9685 = 1 # Numbe... | clees_io.py |
# --------- Hardware Definition ---------
# Define what Hardware you ar running on by
# Comment out all except the platform you
# are running on
HW = "RPi-3B" # Raspberry Pi 3 Model B
#HW = "OPi0-H2" # Orange Pi Zero with H2 Chipset
# --- I2C Hardware
# PCA9685
number_of_pca9685 = 1 # Numbe... | 0.351089 | 0.282641 |
from django.contrib.auth.models import User
from django.http import Http404
from story.serializers import UserSerializer
from story.serializers import StorySerializer
from story.serializers import UploadSerializer
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework... | story/views.py | from django.contrib.auth.models import User
from django.http import Http404
from story.serializers import UserSerializer
from story.serializers import StorySerializer
from story.serializers import UploadSerializer
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework... | 0.551815 | 0.07267 |
import jax.numpy as jnp
from jax import jit
def vf_stokes(r,g,eta,drho,Nkn=0.):
"""terminal velocity of Stokes flow (Reynolds number < 2, Davies number < 42)
Args:
r: particle size (cm)
g: gravity (cm/s2)
eta: dynamic viscosity (g/s/cm)
drho: density difference between conde... | src/exojax/atm/vterm.py | import jax.numpy as jnp
from jax import jit
def vf_stokes(r,g,eta,drho,Nkn=0.):
"""terminal velocity of Stokes flow (Reynolds number < 2, Davies number < 42)
Args:
r: particle size (cm)
g: gravity (cm/s2)
eta: dynamic viscosity (g/s/cm)
drho: density difference between conde... | 0.911313 | 0.626153 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from builtins import * # noqa: F401,F403 pylint: disable=redefined-builtin,wildcard-import,unused-wildcard-import
from future import standard_library
standard_library.... | flask_restful_hal/resource.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from builtins import * # noqa: F401,F403 pylint: disable=redefined-builtin,wildcard-import,unused-wildcard-import
from future import standard_library
standard_library.... | 0.707101 | 0.065515 |
from typing import Any, Optional
from ass_parser.ass_color import AssColor
from ass_parser.ass_sections.ass_base_tabular_section import (
AssBaseTabularSection,
)
from ass_parser.ass_sections.const import STYLES_SECTION_NAME
from ass_parser.ass_style import AssStyle
from ass_parser.observable_sequence_mixin import... | ass_parser/ass_sections/ass_style_list.py | from typing import Any, Optional
from ass_parser.ass_color import AssColor
from ass_parser.ass_sections.ass_base_tabular_section import (
AssBaseTabularSection,
)
from ass_parser.ass_sections.const import STYLES_SECTION_NAME
from ass_parser.ass_style import AssStyle
from ass_parser.observable_sequence_mixin import... | 0.931641 | 0.243215 |
from __future__ import unicode_literals
from onmt.utils.misc import split_corpus
from onmt.translate.translator import build_translator
from onmt.utils.parse import ArgumentParser
import onmt.opts as opts
from extractor import TFIDF
from transformers import BertTokenizer
import unicodedata
import os
import sys
import t... | summarizer.py | from __future__ import unicode_literals
from onmt.utils.misc import split_corpus
from onmt.translate.translator import build_translator
from onmt.utils.parse import ArgumentParser
import onmt.opts as opts
from extractor import TFIDF
from transformers import BertTokenizer
import unicodedata
import os
import sys
import t... | 0.300438 | 0.172939 |
import decimal
from decimal import Decimal
from InvoiceGenerator.conf import _
import qrcode
__all__ = ['Address', 'Client', 'Provider', 'Creator', 'Item', 'Invoice']
class UnicodeProperty(object):
_attrs = ()
def __setattr__(self, key, value):
if key in self._attrs:
value = value
... | InvoiceGenerator/api.py | import decimal
from decimal import Decimal
from InvoiceGenerator.conf import _
import qrcode
__all__ = ['Address', 'Client', 'Provider', 'Creator', 'Item', 'Invoice']
class UnicodeProperty(object):
_attrs = ()
def __setattr__(self, key, value):
if key in self._attrs:
value = value
... | 0.807916 | 0.442697 |
""" This template creates a managed instance group. """
import copy
REGIONAL_LOCAL_IGM_TYPES = {
# https://cloud.google.com/compute/docs/reference/rest/v1/regionInstanceGroupManagers
True: 'gcp-types/compute-v1:regionInstanceGroupManagers',
# https://cloud.google.com/compute/docs/reference/rest/v1/instanc... | dm/templates/managed_instance_group/managed_instance_group.py | """ This template creates a managed instance group. """
import copy
REGIONAL_LOCAL_IGM_TYPES = {
# https://cloud.google.com/compute/docs/reference/rest/v1/regionInstanceGroupManagers
True: 'gcp-types/compute-v1:regionInstanceGroupManagers',
# https://cloud.google.com/compute/docs/reference/rest/v1/instanc... | 0.870046 | 0.238672 |
import re
import time
import uuid
import datetime
from ModbusLib.common.utils import logger as logging
from ModbusLib.common import exceptions, config_handler
from multiprocessing import Queue
from twisted.internet import reactor
from twisted.internet import error as twisted_error
from pymodbus.server.sync import Star... | ModbusLib/common/slave.py | import re
import time
import uuid
import datetime
from ModbusLib.common.utils import logger as logging
from ModbusLib.common import exceptions, config_handler
from multiprocessing import Queue
from twisted.internet import reactor
from twisted.internet import error as twisted_error
from pymodbus.server.sync import Star... | 0.305179 | 0.061452 |
from flask_wtf import FlaskForm
from app.models import User
from app import app
from flask_login import current_user
from wtforms import StringField, PasswordField, BooleanField, SubmitField, FloatField, SelectField
from wtforms.validators import DataRequired, Email, EqualTo, ValidationError
from flask_babel import laz... | app/auth/forms.py | from flask_wtf import FlaskForm
from app.models import User
from app import app
from flask_login import current_user
from wtforms import StringField, PasswordField, BooleanField, SubmitField, FloatField, SelectField
from wtforms.validators import DataRequired, Email, EqualTo, ValidationError
from flask_babel import laz... | 0.362518 | 0.091992 |
import os
import lxml.etree as ET
from functools import reduce
import logging
import pkg_resources
ns = ET.FunctionNamespace("http://nextnet.top/functions")
ns.prefix = "nn"
class FileResolver(ET.Resolver):
def resolve(self, url, pubid, context):
return self.resolve_filename(url, context)
@ns
def urlen... | src/rst_courses_converter/md.py | import os
import lxml.etree as ET
from functools import reduce
import logging
import pkg_resources
ns = ET.FunctionNamespace("http://nextnet.top/functions")
ns.prefix = "nn"
class FileResolver(ET.Resolver):
def resolve(self, url, pubid, context):
return self.resolve_filename(url, context)
@ns
def urlen... | 0.353875 | 0.267271 |
import json
from requests import post
class QiscusSDK(object):
"""
Simple Qiscus SDK wrapper, NOW POST TO QISME ENGINE
"""
@staticmethod
def send_message(topic_id, message='', _type='text', base_url='', access_token='', payload=None):
"""
Send message to Qiscus SDK
:para... | qiscus_sdk/qiscus_sdk.py | import json
from requests import post
class QiscusSDK(object):
"""
Simple Qiscus SDK wrapper, NOW POST TO QISME ENGINE
"""
@staticmethod
def send_message(topic_id, message='', _type='text', base_url='', access_token='', payload=None):
"""
Send message to Qiscus SDK
:para... | 0.603815 | 0.174024 |
from django.test import TestCase
from pipeline_test_use.components.collections.experience import ThePatchComponent
from pipeline.component_framework.test import (
Call,
CallAssertion,
ComponentTestCase,
ComponentTestMixin,
ExecuteAssertion,
Patcher,
)
class TheComponentTest(TestCase, Componen... | runtime/bamboo-pipeline/test/pipeline_test_use/component_tests/test_patch_component.py | from django.test import TestCase
from pipeline_test_use.components.collections.experience import ThePatchComponent
from pipeline.component_framework.test import (
Call,
CallAssertion,
ComponentTestCase,
ComponentTestMixin,
ExecuteAssertion,
Patcher,
)
class TheComponentTest(TestCase, Componen... | 0.59972 | 0.483831 |
from datetime import datetime
from tornado.gen import coroutine
from tornado.web import RequestHandler, HTTPError
import bson
import crypt
__author__ = '<EMAIL>'
__date__ = "2018/11/20 下午9:49:00"
class AuthBaseHandler(RequestHandler):
@property
def db(self):
return self.application.settings['db']... | py/wx.py |
from datetime import datetime
from tornado.gen import coroutine
from tornado.web import RequestHandler, HTTPError
import bson
import crypt
__author__ = '<EMAIL>'
__date__ = "2018/11/20 下午9:49:00"
class AuthBaseHandler(RequestHandler):
@property
def db(self):
return self.application.settings['db']... | 0.36693 | 0.053825 |
import dash # pip install dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Output, Input
from dash_extensions import Lottie # pip install dash-extensions
import dash_bootstrap_components as dbc # pip install dash-bootstrap-com... | d-final-analysis.py | import dash # pip install dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Output, Input
from dash_extensions import Lottie # pip install dash-extensions
import dash_bootstrap_components as dbc # pip install dash-bootstrap-com... | 0.608594 | 0.111555 |
import numpy as np
import tensorflow as tf
def match_indices(larger, smaller):
"""
Take two tensor sizes, and determine how to "shrink" the larger one to make it the same
size as the smaller one. Basically, evenly reduce the resolution of the larger tensor
so it can be compared to the smal... | model_helper_functions.py | import numpy as np
import tensorflow as tf
def match_indices(larger, smaller):
"""
Take two tensor sizes, and determine how to "shrink" the larger one to make it the same
size as the smaller one. Basically, evenly reduce the resolution of the larger tensor
so it can be compared to the smal... | 0.784938 | 0.680772 |
from unittest import TestCase
from bauh.gems.arch.mapper import ArchDataMapper
class ArchDataMapperTest(TestCase):
def test_check_update_no_suffix(self):
self.assertTrue(ArchDataMapper.check_update('1.0.0-1', '1.0.0-2'))
self.assertFalse(ArchDataMapper.check_update('1.0.0-2', '1.0.0-1'))
... | tests/gems/arch/arch_data_mapper_test.py | from unittest import TestCase
from bauh.gems.arch.mapper import ArchDataMapper
class ArchDataMapperTest(TestCase):
def test_check_update_no_suffix(self):
self.assertTrue(ArchDataMapper.check_update('1.0.0-1', '1.0.0-2'))
self.assertFalse(ArchDataMapper.check_update('1.0.0-2', '1.0.0-1'))
... | 0.667148 | 0.758265 |
import curses
import logging
import os
import re
from textwrap import dedent
import npyscreen
from initiative.constants import STAT_DISPLAY
from initiative.models.encounter import Encounter, Member
from initiative.ui.custom_mutt import _CustomMutt
from initiative.ui.helpful_controller import HelpfulController
from in... | initiative/ui/encounters/encounter_edit.py | import curses
import logging
import os
import re
from textwrap import dedent
import npyscreen
from initiative.constants import STAT_DISPLAY
from initiative.models.encounter import Encounter, Member
from initiative.ui.custom_mutt import _CustomMutt
from initiative.ui.helpful_controller import HelpfulController
from in... | 0.319334 | 0.087994 |
import logging
from typing import List, Optional, TYPE_CHECKING
import pathlib
import attr
from aiogithubapi.github import AIOGitHubAPI
from aiogithubapi.objects.repository import AIOGitHubAPIRepository
from homeassistant.core import HomeAssistant
from .enums import RacelandshopDisabledReason, RacelandshopStage
from ... | custom_components/racelandshop/base.py | import logging
from typing import List, Optional, TYPE_CHECKING
import pathlib
import attr
from aiogithubapi.github import AIOGitHubAPI
from aiogithubapi.objects.repository import AIOGitHubAPIRepository
from homeassistant.core import HomeAssistant
from .enums import RacelandshopDisabledReason, RacelandshopStage
from ... | 0.766731 | 0.099908 |
from nltk.tokenize import word_tokenize, sent_tokenize
from nltk.stem import PorterStemmer, WordNetLemmatizer
from nltk.corpus import wordnet
from nltk import pos_tag, ne_chunk
from nltk.tree import Tree
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import re
import time
import sys
analyzer =... | backend_resources/stats.py | from nltk.tokenize import word_tokenize, sent_tokenize
from nltk.stem import PorterStemmer, WordNetLemmatizer
from nltk.corpus import wordnet
from nltk import pos_tag, ne_chunk
from nltk.tree import Tree
import nltk
from nltk.sentiment.vader import SentimentIntensityAnalyzer
import re
import time
import sys
analyzer =... | 0.184731 | 0.169028 |
import os
import scrapy
from scrapy.spiders import CrawlSpider
from w3lib.html import remove_tags, remove_tags_with_content
class BloombergSpider(CrawlSpider):
name = 'bloomberg'
handle_httpstatus_list = [200, 404]
allowed_domains = ['bloomberg.com']
start_urls = ['https://www.bloomberg.com/markets']... | text/spiders/bloomberg.py | import os
import scrapy
from scrapy.spiders import CrawlSpider
from w3lib.html import remove_tags, remove_tags_with_content
class BloombergSpider(CrawlSpider):
name = 'bloomberg'
handle_httpstatus_list = [200, 404]
allowed_domains = ['bloomberg.com']
start_urls = ['https://www.bloomberg.com/markets']... | 0.332961 | 0.153486 |
from __future__ import annotations
from typing import TYPE_CHECKING
from fabric_cf.actor.core.kernel.rpc_request_type import RPCRequestType
from fabric_cf.actor.core.util.rpc_exception import RPCException
from fabric_cf.actor.core.apis.abc_actor_event import ABCActorEvent
if TYPE_CHECKING:
from fabric_cf.actor.co... | fabric_cf/actor/core/kernel/failed_rpc_event.py | from __future__ import annotations
from typing import TYPE_CHECKING
from fabric_cf.actor.core.kernel.rpc_request_type import RPCRequestType
from fabric_cf.actor.core.util.rpc_exception import RPCException
from fabric_cf.actor.core.apis.abc_actor_event import ABCActorEvent
if TYPE_CHECKING:
from fabric_cf.actor.co... | 0.747339 | 0.142291 |
import gc
import gzip
import time
import json
import shutil
import os,sys
import tldextract
import collections
import pandas as pd
from tqdm import tqdm
import urllib.request
from multiprocessing import Pool
# !mkdir data
# !wget https://commoncrawl.s3.amazonaws.com/crawl-data/CC-MAIN-2019-22/cc-index.paths.gz
# !gzip... | dumping/common-crawl/get_language_index.py | import gc
import gzip
import time
import json
import shutil
import os,sys
import tldextract
import collections
import pandas as pd
from tqdm import tqdm
import urllib.request
from multiprocessing import Pool
# !mkdir data
# !wget https://commoncrawl.s3.amazonaws.com/crawl-data/CC-MAIN-2019-22/cc-index.paths.gz
# !gzip... | 0.09678 | 0.155142 |
import pytest
from cape.client import CapeClient
from cape.client import CapeException
from .fixtures import cc
def test_saved_replies(cc):
saved_replies = cc.get_saved_replies()
assert 'totalItems' in saved_replies
assert 'items' in saved_replies
def test_saved_replies_ids(cc):
saved_replies = cc.g... | tests/test_saved_replies.py | import pytest
from cape.client import CapeClient
from cape.client import CapeException
from .fixtures import cc
def test_saved_replies(cc):
saved_replies = cc.get_saved_replies()
assert 'totalItems' in saved_replies
assert 'items' in saved_replies
def test_saved_replies_ids(cc):
saved_replies = cc.g... | 0.55447 | 0.499817 |
import unittest
import torch
from numpy.testing import assert_array_almost_equal
from torchvision.datasets import MNIST, CIFAR10
from torchvision.transforms import Normalize
from mighty.utils.common import set_seed
from mighty.utils.data import DataLoader
from mighty.utils.data.normalize import NormalizeInverse, \
... | mighty/tests/test_utils_data.py | import unittest
import torch
from numpy.testing import assert_array_almost_equal
from torchvision.datasets import MNIST, CIFAR10
from torchvision.transforms import Normalize
from mighty.utils.common import set_seed
from mighty.utils.data import DataLoader
from mighty.utils.data.normalize import NormalizeInverse, \
... | 0.790934 | 0.847211 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._enums import *
__all__ = [
'AliasProvisionedConcurrencyConfiguration',
'AliasRoutingConfiguration',
'AliasVersionWeight',
'Cod... | sdk/python/pulumi_aws_native/lambda_/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._enums import *
__all__ = [
'AliasProvisionedConcurrencyConfiguration',
'AliasRoutingConfiguration',
'AliasVersionWeight',
'Cod... | 0.872971 | 0.089773 |
import restea.formats as formats
class BaseResourceWrapper(object):
'''
BaseResourceWrapper is added to have common interface between frameworks.
'''
request_wrapper_class = None
def __init__(self, resource_class):
'''
:param resource_class: :class:`restea.resource.Resource` -- re... | restea/adapters/base.py | import restea.formats as formats
class BaseResourceWrapper(object):
'''
BaseResourceWrapper is added to have common interface between frameworks.
'''
request_wrapper_class = None
def __init__(self, resource_class):
'''
:param resource_class: :class:`restea.resource.Resource` -- re... | 0.860472 | 0.220531 |
import pytest
from pytest import lazy_fixture
@pytest.fixture
def other_cohort(user_factory, cohort_factory):
user = user_factory()
cohort = cohort_factory(contributor__owners=[user])
return cohort
@pytest.fixture
def cohorts(cohort, other_cohort):
return [cohort, other_cohort]
@pytest.mark.django... | isic/core/tests/test_api_cohort.py | import pytest
from pytest import lazy_fixture
@pytest.fixture
def other_cohort(user_factory, cohort_factory):
user = user_factory()
cohort = cohort_factory(contributor__owners=[user])
return cohort
@pytest.fixture
def cohorts(cohort, other_cohort):
return [cohort, other_cohort]
@pytest.mark.django... | 0.409575 | 0.361954 |
from math import pi
import ephem
import unittest
from nexstar import NexStar, RA_DEV, DEC_DEV
PORT = '/dev/ttyACM0'
class TestNexStar(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.nex = NexStar(PORT, False)
@classmethod
def tearDownClass(cls):
cls.nex.close()
def set... | pynexstar/test_nexstar.py | from math import pi
import ephem
import unittest
from nexstar import NexStar, RA_DEV, DEC_DEV
PORT = '/dev/ttyACM0'
class TestNexStar(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.nex = NexStar(PORT, False)
@classmethod
def tearDownClass(cls):
cls.nex.close()
def set... | 0.506591 | 0.500244 |
import torch
from torch import nn
from torch.nn import init
from torch.nn import functional as F
from transformers import BertModel
from config import Baseline_LSTMConfig
from config import Baseline_BertConfig
from config import Baseline_CNNConfig
from tools import load_bert_vocab_embedding_vec
class Baseline_Model_B... | baseline_model.py | import torch
from torch import nn
from torch.nn import init
from torch.nn import functional as F
from transformers import BertModel
from config import Baseline_LSTMConfig
from config import Baseline_BertConfig
from config import Baseline_CNNConfig
from tools import load_bert_vocab_embedding_vec
class Baseline_Model_B... | 0.943582 | 0.18866 |
import boto3
import sys
import argparse
import subprocess
import shutil
import os
from datetime import datetime
import operator
def dump(host, database, username, password, out):
if username and password:
auth_str= "--username %s --password %s" % (username, password)
else:
auth_str=""
if ... | aws-scripts/s3-mongodump.py | import boto3
import sys
import argparse
import subprocess
import shutil
import os
from datetime import datetime
import operator
def dump(host, database, username, password, out):
if username and password:
auth_str= "--username %s --password %s" % (username, password)
else:
auth_str=""
if ... | 0.228415 | 0.066297 |
import math
import turtle
class Graph:
def __init__(self):
self.__edges = [] # An edge is a relationship between two nodes. it is defined as: [node_a, node_b, weight] with weight defaulting to 1
self.__nodes = [] # A node is defined to be any 1 object.
self.__isWeighted = True
se... | EnderGraph.py | import math
import turtle
class Graph:
def __init__(self):
self.__edges = [] # An edge is a relationship between two nodes. it is defined as: [node_a, node_b, weight] with weight defaulting to 1
self.__nodes = [] # A node is defined to be any 1 object.
self.__isWeighted = True
se... | 0.396302 | 0.501282 |
import hmac
import json
import random
import urllib
import requests
from hashlib import sha1
from datetime import datetime
from collections import OrderedDict
from django.conf import settings as djsettings
ENDPOINTS = {
'settings': 'account_settings.json',
'session': 'session.json',
'signup': 'users.json... | happ/integrations/quickblox.py | import hmac
import json
import random
import urllib
import requests
from hashlib import sha1
from datetime import datetime
from collections import OrderedDict
from django.conf import settings as djsettings
ENDPOINTS = {
'settings': 'account_settings.json',
'session': 'session.json',
'signup': 'users.json... | 0.232571 | 0.071041 |
import mysql.connector
import datetime
import decimal
import sys
import json
from flask import jsonify
import numpy
class GenericEncoder(json.JSONEncoder):
def default(self,obj):
if isinstance(obj, numpy.generic):
return numpy.asscaler(obj)
elif isinstance(obj, datetime.datetime):
... | telegram-python-bot/mysql_api.py | import mysql.connector
import datetime
import decimal
import sys
import json
from flask import jsonify
import numpy
class GenericEncoder(json.JSONEncoder):
def default(self,obj):
if isinstance(obj, numpy.generic):
return numpy.asscaler(obj)
elif isinstance(obj, datetime.datetime):
... | 0.182608 | 0.067485 |
import csv
import logging
import numpy as np
import math
import torch
import torch.nn.functional as F
import torch.optim as optim
from torch import nn
from torch import distributions
from torch.utils.data.sampler import WeightedRandomSampler
from meta_learn import metrics
from .utils import avg_shortest_path_length, to... | meta_learn/active_learner.py | import csv
import logging
import numpy as np
import math
import torch
import torch.nn.functional as F
import torch.optim as optim
from torch import nn
from torch import distributions
from torch.utils.data.sampler import WeightedRandomSampler
from meta_learn import metrics
from .utils import avg_shortest_path_length, to... | 0.892357 | 0.383006 |
from django.conf import settings
from django.contrib import admin, messages
from jcasts.podcasts import feed_parser, models
@admin.register(models.Category)
class CategoryAdmin(admin.ModelAdmin):
ordering = ("name",)
list_display = (
"name",
"parent",
)
search_fields = ("name",)
cla... | jcasts/podcasts/admin.py | from django.conf import settings
from django.contrib import admin, messages
from jcasts.podcasts import feed_parser, models
@admin.register(models.Category)
class CategoryAdmin(admin.ModelAdmin):
ordering = ("name",)
list_display = (
"name",
"parent",
)
search_fields = ("name",)
cla... | 0.487307 | 0.198122 |
import unittest
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from skactiveml.classifier import SklearnClassifier, ParzenWindowClassifier
from skactiveml.pool import EpistemicUncertaintySampling
from skactiveml.pool._epistemic_uncertainty_sampli... | skactiveml/pool/tests/test_epistemic_uncertainty_sampling.py | import unittest
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from skactiveml.classifier import SklearnClassifier, ParzenWindowClassifier
from skactiveml.pool import EpistemicUncertaintySampling
from skactiveml.pool._epistemic_uncertainty_sampli... | 0.649579 | 0.615117 |
# 4920646f6e5c2774206361726520696620697420776f726b73206f6e20796f7572206d61636869
# 6e652120576520617265206e6f74207368697070696e6720796f7572206d616368696e6521
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
import time, unittest
from lib import chessboard, core, engine, movegenerator, p... | tests/test_performance.py |
# 4920646f6e5c2774206361726520696620697420776f726b73206f6e20796f7572206d61636869
# 6e652120576520617265206e6f74207368697070696e6720796f7572206d616368696e6521
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
import time, unittest
from lib import chessboard, core, engine, movegenerator, p... | 0.634204 | 0.320569 |
import androidhelper as android
import cv
import time
import numpy as np
# 赤色のマスク
def red_detect(img):
# HSV色空間に変換
hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
# 赤色のHSVの値域1
hsv_min = np.array([0, 127, 0])
hsv_max = np.array([30, 255, 255])
mask1 = cv.inRange(hsv, hsv_min, hsv_max)
# 赤色のHSVの値域2... | JSTfair/android_for_test/android_openCV.py | import androidhelper as android
import cv
import time
import numpy as np
# 赤色のマスク
def red_detect(img):
# HSV色空間に変換
hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
# 赤色のHSVの値域1
hsv_min = np.array([0, 127, 0])
hsv_max = np.array([30, 255, 255])
mask1 = cv.inRange(hsv, hsv_min, hsv_max)
# 赤色のHSVの値域2... | 0.314998 | 0.220259 |
import re
from nomenclator.vendor.Qt import QtWidgets, QtCore
class DescriptionSelector(QtWidgets.QWidget):
"""Widget used to select a description."""
#: :term:`Qt Signal` emitted when description value has been updated.
updated = QtCore.Signal()
#: Item label to indicate that a custom description... | source/nomenclator/widget/description_selector.py |
import re
from nomenclator.vendor.Qt import QtWidgets, QtCore
class DescriptionSelector(QtWidgets.QWidget):
"""Widget used to select a description."""
#: :term:`Qt Signal` emitted when description value has been updated.
updated = QtCore.Signal()
#: Item label to indicate that a custom description... | 0.767429 | 0.12276 |
import unittest
from unittest.mock import patch
import os
import family
import hub_map_tools
import roster
import person
data_file_path = os.path.abspath("./family_tests/")
hub_file_name = data_file_path + "/hub_map.csv"
common_hub_map = hub_map_tools.ReadHubMapFromFile(hub_file_name)
with patch('builtins.input', sid... | TEST/family_test.py | import unittest
from unittest.mock import patch
import os
import family
import hub_map_tools
import roster
import person
data_file_path = os.path.abspath("./family_tests/")
hub_file_name = data_file_path + "/hub_map.csv"
common_hub_map = hub_map_tools.ReadHubMapFromFile(hub_file_name)
with patch('builtins.input', sid... | 0.430267 | 0.440529 |
import random
import json
import typing
from flask import Flask, request, Response
app = Flask(__name__)
def get_device_info() -> Response:
with open("resources/test/device_detail.txt", "r") as f:
return Response(f.read(), mimetype="text/plain")
def refresh_screen() -> Response:
with open("resourc... | tests/server.py | import random
import json
import typing
from flask import Flask, request, Response
app = Flask(__name__)
def get_device_info() -> Response:
with open("resources/test/device_detail.txt", "r") as f:
return Response(f.read(), mimetype="text/plain")
def refresh_screen() -> Response:
with open("resourc... | 0.308607 | 0.148541 |
from logging import FATAL, ERROR, WARNING, INFO, DEBUG
import os
# Internal use
LOG_LEVELS = {
"fatal": FATAL,
"error": ERROR,
"warning": WARNING,
"info": INFO,
"debug": DEBUG
}
LOG_FORMAT = "[%(asctime)s]\n%(message)s"
CPP_LOG_LEVEL = {
FATAL: 3,
ERROR: 3,
WARNING: 2,
INFO: 1,
... | maxatac/utilities/constants.py | from logging import FATAL, ERROR, WARNING, INFO, DEBUG
import os
# Internal use
LOG_LEVELS = {
"fatal": FATAL,
"error": ERROR,
"warning": WARNING,
"info": INFO,
"debug": DEBUG
}
LOG_FORMAT = "[%(asctime)s]\n%(message)s"
CPP_LOG_LEVEL = {
FATAL: 3,
ERROR: 3,
WARNING: 2,
INFO: 1,
... | 0.405331 | 0.221803 |
import itertools
from typing import Dict, Tuple
import jax
from algorithmic_efficiency import spec
import algorithmic_efficiency.random_utils as prng
class BaseCifarWorkload(spec.Workload):
def __init__(self):
self._eval_iters = {}
self._param_shapes = None
self._param_types = None
def has_reache... | algorithmic_efficiency/workloads/cifar/workload.py |
import itertools
from typing import Dict, Tuple
import jax
from algorithmic_efficiency import spec
import algorithmic_efficiency.random_utils as prng
class BaseCifarWorkload(spec.Workload):
def __init__(self):
self._eval_iters = {}
self._param_shapes = None
self._param_types = None
def has_reache... | 0.864425 | 0.377885 |
class Node:
def __init__(self, val):
self.cont = val
self.next = None
self.prev = None
class doublyLinkedList:
def __init__(self):
self.head = None
self.tail = None
self.length = 0
def append(self, val):
node = Node(val)
if self.length == 0... | temp/doublyLinkedList.py | class Node:
def __init__(self, val):
self.cont = val
self.next = None
self.prev = None
class doublyLinkedList:
def __init__(self):
self.head = None
self.tail = None
self.length = 0
def append(self, val):
node = Node(val)
if self.length == 0... | 0.560012 | 0.252684 |
"""Defines an ellipse."""
import numpy as np
from scipy.special import ellipe
from . import Circle, Shape2D
class Ellipse(Shape2D):
"""An ellipse with principal axes a and b.
Args:
a (float):
Principal axis a of the ellipse (radius in the :math:`x`
direction).
b (flo... | coxeter/shapes/ellipse.py | """Defines an ellipse."""
import numpy as np
from scipy.special import ellipe
from . import Circle, Shape2D
class Ellipse(Shape2D):
"""An ellipse with principal axes a and b.
Args:
a (float):
Principal axis a of the ellipse (radius in the :math:`x`
direction).
b (flo... | 0.973393 | 0.818229 |
import io
import os
import appenv
def test_init(workdir, monkeypatch):
monkeypatch.setattr("sys.stdin", io.StringIO("ducker\n\n\n"))
assert not os.path.exists(os.path.join(workdir, "ducker"))
env = appenv.AppEnv(os.path.join(workdir, 'ducker'))
env.init()
assert os.readlink(os.path.join(workdi... | tests/test_init.py | import io
import os
import appenv
def test_init(workdir, monkeypatch):
monkeypatch.setattr("sys.stdin", io.StringIO("ducker\n\n\n"))
assert not os.path.exists(os.path.join(workdir, "ducker"))
env = appenv.AppEnv(os.path.join(workdir, 'ducker'))
env.init()
assert os.readlink(os.path.join(workdi... | 0.325521 | 0.186502 |
import sys
import matplotlib.pyplot as plt
import numpy as np
import time
import fempy.fem.preprocessor as pre
import fempy.fem.postprocessor as post
from fempy.fem.core.elements import Quad4
from fempy.fem.core.entities import DOFtype, Load
from fempy.fem.core.assemblers import ProblemStructural, ElementMaterialOnl... | examples/variable_young_modulus/cantilever_variable_E.py | import sys
import matplotlib.pyplot as plt
import numpy as np
import time
import fempy.fem.preprocessor as pre
import fempy.fem.postprocessor as post
from fempy.fem.core.elements import Quad4
from fempy.fem.core.entities import DOFtype, Load
from fempy.fem.core.assemblers import ProblemStructural, ElementMaterialOnl... | 0.372734 | 0.374619 |
def Start(parser, saveFile, controller):
# Read CFG
parser.read(saveFile)
# Retrieve value of funds left over from previous game
lastFunds = parser["GENERAL"]["last_funds"]
# Retrieve starting funds
funds = controller.RequestStart(lastFunds)
# Accept valid starting funds
if funds != "x... | source/v1u4/DroidModelv1u4.py | def Start(parser, saveFile, controller):
# Read CFG
parser.read(saveFile)
# Retrieve value of funds left over from previous game
lastFunds = parser["GENERAL"]["last_funds"]
# Retrieve starting funds
funds = controller.RequestStart(lastFunds)
# Accept valid starting funds
if funds != "x... | 0.623721 | 0.367355 |
from collections import defaultdict
from _datetime import datetime, timedelta
import pytz
from django.db.models import Sum
from rest_framework import serializers
from rest_framework.response import Response
from apps.search_head_api.models import CaptureNode, Site
from apps.search_head_api.views import SearchHeadAPIVi... | core/apps/stats_api/views.py | from collections import defaultdict
from _datetime import datetime, timedelta
import pytz
from django.db.models import Sum
from rest_framework import serializers
from rest_framework.response import Response
from apps.search_head_api.models import CaptureNode, Site
from apps.search_head_api.views import SearchHeadAPIVi... | 0.673084 | 0.145844 |
from metis.Task import Task
from metis.File import File
class CombinerTask(Task):
def __init__(self, **kwargs):
# Handle whatever kwargs we want here
"""
We feed in input files and per the splitting parameters,
this task takes care of grouping them into output files
"""
... | metis/CombinerTask.py | from metis.Task import Task
from metis.File import File
class CombinerTask(Task):
def __init__(self, **kwargs):
# Handle whatever kwargs we want here
"""
We feed in input files and per the splitting parameters,
this task takes care of grouping them into output files
"""
... | 0.517571 | 0.300438 |
import argparse
from Bio.Seq import Seq
import re,sys
import pipes
import pprint
import tempfile
def read_pas(pas_file):
f = open(pas_file, 'r')
pas_dict = dict()
f.readline() #sikp header
for line in f.readlines():
line = line.rstrip('\n')
pas_id,pas_type,chromosome,pos,strand,symbo... | src/legacy/extract_coverage_from_scanGenome.py |
import argparse
from Bio.Seq import Seq
import re,sys
import pipes
import pprint
import tempfile
def read_pas(pas_file):
f = open(pas_file, 'r')
pas_dict = dict()
f.readline() #sikp header
for line in f.readlines():
line = line.rstrip('\n')
pas_id,pas_type,chromosome,pos,strand,symbo... | 0.116161 | 0.173813 |
import logging
import threading
import time
from threading import Lock
from etcd3 import Etcd3Exception
from etcd3.events import PutEvent, DeleteEvent # type: ignore
from client import V3Client # type: ignore
class MonSvcClient(object):
def __init__(self, end_points=None, ca_cert=None,
cert_k... | PyServiceUtil/monitor.py | import logging
import threading
import time
from threading import Lock
from etcd3 import Etcd3Exception
from etcd3.events import PutEvent, DeleteEvent # type: ignore
from client import V3Client # type: ignore
class MonSvcClient(object):
def __init__(self, end_points=None, ca_cert=None,
cert_k... | 0.293708 | 0.040389 |
from kivy.app import App
from kivy.lang import Builder
KV_CODE = '''
<Separator@Widget>:
size: 1, 1
canvas:
Color:
rgb: 1, 0, 1
Rectangle:
pos: self.pos
size: self.size
BoxLayout:
orientation: 'vertical'
Label:
text: "volume : {:.02f}".format... | examples/debug_Bgm.py | from kivy.app import App
from kivy.lang import Builder
KV_CODE = '''
<Separator@Widget>:
size: 1, 1
canvas:
Color:
rgb: 1, 0, 1
Rectangle:
pos: self.pos
size: self.size
BoxLayout:
orientation: 'vertical'
Label:
text: "volume : {:.02f}".format... | 0.603231 | 0.272762 |
from datetime import date
from django.contrib.auth.models import User
from django.test import TestCase
from rest_framework.test import APIClient
from donatori.models import (
Donatore,
Donazione,
Sesso,
Sezione,
StatoDonatore,
)
class MockedTestCase(TestCase):
def setUp(self):
self.cl... | donatori/tests/mocked_data.py | from datetime import date
from django.contrib.auth.models import User
from django.test import TestCase
from rest_framework.test import APIClient
from donatori.models import (
Donatore,
Donazione,
Sesso,
Sezione,
StatoDonatore,
)
class MockedTestCase(TestCase):
def setUp(self):
self.cl... | 0.366476 | 0.361334 |
from django.shortcuts import reverse
from model_bakery import baker
from glitchtip.test_utils.test_case import APIPermissionTestCase
class EnvironmentAPIPermissionTests(APIPermissionTestCase):
def setUp(self):
self.create_user_org()
self.set_client_credentials(self.auth_token.token)
self.e... | environments/tests/test_api_permissions.py | from django.shortcuts import reverse
from model_bakery import baker
from glitchtip.test_utils.test_case import APIPermissionTestCase
class EnvironmentAPIPermissionTests(APIPermissionTestCase):
def setUp(self):
self.create_user_org()
self.set_client_credentials(self.auth_token.token)
self.e... | 0.49585 | 0.285002 |
from typing import Optional, List
from fastapi import FastAPI, HTTPException
from fastapi.logger import logger
from fastapi.param_functions import Query
import json
import logging
# 2.22.0 es la version que deberia funcionar
import requests
import boto3
import os
import uuid
import datetime
import pymysql
from decima... | app/main.py | from typing import Optional, List
from fastapi import FastAPI, HTTPException
from fastapi.logger import logger
from fastapi.param_functions import Query
import json
import logging
# 2.22.0 es la version que deberia funcionar
import requests
import boto3
import os
import uuid
import datetime
import pymysql
from decima... | 0.592431 | 0.09739 |
from . import UP_ENDPOINT, session
import json
class AccountIDMissingError(Exception):
pass
class Webhooks(self):
"""
Webhooks
~~~~~~~~~~~~~~~~~~~~~
Webhooks provide a mechanism for a configured URL to receive events when transaction activity occurs on Up. You can think of webhooks as being like ... | upbank_api_wrapper/webhooks.py | from . import UP_ENDPOINT, session
import json
class AccountIDMissingError(Exception):
pass
class Webhooks(self):
"""
Webhooks
~~~~~~~~~~~~~~~~~~~~~
Webhooks provide a mechanism for a configured URL to receive events when transaction activity occurs on Up. You can think of webhooks as being like ... | 0.702122 | 0.093306 |
from gurobipy import *
from models.milpconstraints import addAESrndconstraints
def buildmodel(config):
"""
Constructs the model for the Gurobi Solver
"""
model = Model("aeslike")
# Parameters
state_dim = config["statedimension"]
num_rounds = config["rounds"]
branch_number = config["b... | analysis/models/aeslike.py | from gurobipy import *
from models.milpconstraints import addAESrndconstraints
def buildmodel(config):
"""
Constructs the model for the Gurobi Solver
"""
model = Model("aeslike")
# Parameters
state_dim = config["statedimension"]
num_rounds = config["rounds"]
branch_number = config["b... | 0.669205 | 0.353484 |
import tempfile
import pytest
from intake_esgf import core
def test_load(preset, mocker):
search_data = {
"response": {
"numFound": 2,
"docs": [
{"id": "id1", "name": "test1",},
{"id": "id2", "name": "test2",},
],
}}
get = m... | intake_esgf/tests/test_catalog.py | import tempfile
import pytest
from intake_esgf import core
def test_load(preset, mocker):
search_data = {
"response": {
"numFound": 2,
"docs": [
{"id": "id1", "name": "test1",},
{"id": "id2", "name": "test2",},
],
}}
get = m... | 0.556159 | 0.656507 |
from tapioca import (TapiocaAdapter, generate_wrapper_from_adapter)
from requests_oauthlib import OAuth2
from .resource_mapping import RESOURCE_MAPPING
from tapioca.adapters import XMLAdapterMixin
from tapioca.oauth2_token_requester import Oauth2TokenRequester # todo: cookiecutter
class GsheetsClientAdapter(XMLA... | tapioca_gsheets/tapioca_gsheets.py |
from tapioca import (TapiocaAdapter, generate_wrapper_from_adapter)
from requests_oauthlib import OAuth2
from .resource_mapping import RESOURCE_MAPPING
from tapioca.adapters import XMLAdapterMixin
from tapioca.oauth2_token_requester import Oauth2TokenRequester # todo: cookiecutter
class GsheetsClientAdapter(XMLA... | 0.326271 | 0.079424 |
from __future__ import absolute_import, print_function
from __future__ import unicode_literals
from collections import defaultdict
from datetime import datetime
import six
from django.core.management.base import BaseCommand
from casexml.apps.case.xform import get_case_updates
from corehq.apps.commtrack.processing im... | corehq/apps/cleanup/management/commands/undo_uuid_clash.py | from __future__ import absolute_import, print_function
from __future__ import unicode_literals
from collections import defaultdict
from datetime import datetime
import six
from django.core.management.base import BaseCommand
from casexml.apps.case.xform import get_case_updates
from corehq.apps.commtrack.processing im... | 0.491944 | 0.060474 |
import numpy as np
from flare_pp._C_flare import SparseGP, NormalizedDotProduct, B2, Structure
from flare_pp.sparse_gp import SGP_Wrapper
from flare_pp.sparse_gp_calculator import SGP_Calculator
from flare.ase.atoms import FLARE_Atoms
from ase import Atoms
from ase.calculators.lj import LennardJones
from ase.build impo... | tests/get_sgp.py | import numpy as np
from flare_pp._C_flare import SparseGP, NormalizedDotProduct, B2, Structure
from flare_pp.sparse_gp import SGP_Wrapper
from flare_pp.sparse_gp_calculator import SGP_Calculator
from flare.ase.atoms import FLARE_Atoms
from ase import Atoms
from ase.calculators.lj import LennardJones
from ase.build impo... | 0.763131 | 0.533519 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import os
from model.modules import ConvBNLReLU, UpsampleNearestCBLR
class Encoder(nn.Module):
def __init__(self, nc, fmaps, latent_variable_size):
super().__init__()
self.nc = nc
self.fmaps = fmaps
self.latent_va... | src/model/vae.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import os
from model.modules import ConvBNLReLU, UpsampleNearestCBLR
class Encoder(nn.Module):
def __init__(self, nc, fmaps, latent_variable_size):
super().__init__()
self.nc = nc
self.fmaps = fmaps
self.latent_va... | 0.92597 | 0.424412 |
from bdb import BdbQuit
import inspect
import pdb
import sys
import threading
from .util import getargnodes
from .watch_element import WatchElement
from .watch_print import WatchPrint
class Watch:
def __init__(self):
self.watch_list = []
self.tracefunc_stack = []
self.enable = False
... | src/watchpoints/watch.py |
from bdb import BdbQuit
import inspect
import pdb
import sys
import threading
from .util import getargnodes
from .watch_element import WatchElement
from .watch_print import WatchPrint
class Watch:
def __init__(self):
self.watch_list = []
self.tracefunc_stack = []
self.enable = False
... | 0.26693 | 0.063657 |
import hashlib
import hmac
import unittest
def TLSv1_0_PRF(outlen, secret, label, seed):
ls = len(secret)
ls1 = ls2 = (ls + 1) // 2
def xor(xx, yy):
o = []
for i in range(len(xx)):
o.append(xx[i] ^ yy[i])
return bytes(o)
md5 = TLSv1_2_PRF(outlen, secret[:ls... | tls/prf.py | import hashlib
import hmac
import unittest
def TLSv1_0_PRF(outlen, secret, label, seed):
ls = len(secret)
ls1 = ls2 = (ls + 1) // 2
def xor(xx, yy):
o = []
for i in range(len(xx)):
o.append(xx[i] ^ yy[i])
return bytes(o)
md5 = TLSv1_2_PRF(outlen, secret[:ls... | 0.427038 | 0.31384 |
import unittest
import numpy as np
import pandas as pd
from nimbusml import Pipeline, FileDataStream, BinaryDataStream
from nimbusml.datasets import get_dataset
from nimbusml.feature_extraction.categorical import OneHotVectorizer
from nimbusml.linear_model import FastLinearRegressor, OnlineGradientDescentRegressor
fr... | src/python/nimbusml/tests/idv/test_idv.py |
import unittest
import numpy as np
import pandas as pd
from nimbusml import Pipeline, FileDataStream, BinaryDataStream
from nimbusml.datasets import get_dataset
from nimbusml.feature_extraction.categorical import OneHotVectorizer
from nimbusml.linear_model import FastLinearRegressor, OnlineGradientDescentRegressor
fr... | 0.813164 | 0.666049 |
import matplotlib.animation as animation
import numpy as np
from gekko import GEKKO
import matplotlib.pyplot as plt
''' NBUG
'''
''' MOD CONFIG
'''
''' MODEL CONFIG
'''
_M1 = 10 # the cart
_M2 = 1 # mass 2
_T_END = 6.2
def main():
sys = GEKKO() # declare an empty model
sys.time = np.linspace(0,8,100)
t_end ... | src/ipend_main.py | import matplotlib.animation as animation
import numpy as np
from gekko import GEKKO
import matplotlib.pyplot as plt
''' NBUG
'''
''' MOD CONFIG
'''
''' MODEL CONFIG
'''
_M1 = 10 # the cart
_M2 = 1 # mass 2
_T_END = 6.2
def main():
sys = GEKKO() # declare an empty model
sys.time = np.linspace(0,8,100)
t_end ... | 0.367951 | 0.460289 |
#pylint: disable=R0904,F0401
import unittest
from client_test_lib import Bootstrap
from client_test_lib import raise_exception
class XmppConfigTest(unittest.TestCase):
@classmethod
def bootstrap(cls, xmpp):
bootstrap = Bootstrap()
bootstrap.ztps.set_config_response(xmpp=xmpp)
boots... | test/client/test_xmpp_bootstrap.py |
#pylint: disable=R0904,F0401
import unittest
from client_test_lib import Bootstrap
from client_test_lib import raise_exception
class XmppConfigTest(unittest.TestCase):
@classmethod
def bootstrap(cls, xmpp):
bootstrap = Bootstrap()
bootstrap.ztps.set_config_response(xmpp=xmpp)
boots... | 0.354992 | 0.250262 |
import struct
class FileId:
"""
A file identifier class, storing an unsigned short representing a file number.
We can use a file identifier to retrieve the full path of a file from
the database catalog. File identifiers implement pack and unpack methods to
support their storage on disk.
>>> id1... | HW3/dbsys-hw3/update/dbsys-hw3/Catalog/Identifiers.py | import struct
class FileId:
"""
A file identifier class, storing an unsigned short representing a file number.
We can use a file identifier to retrieve the full path of a file from
the database catalog. File identifiers implement pack and unpack methods to
support their storage on disk.
>>> id1... | 0.711531 | 0.186391 |
import time
import pickle
from utils import *
from PIL import Image, ImageDraw
from keras.layers import Input, Concatenate, Dense
from keras.layers.recurrent import GRU
from keras.models import Model, load_model
from keras.applications import vgg16
from keras.optimizers import Adam
from keras.layers.core import regul... | sf_gru.py | import time
import pickle
from utils import *
from PIL import Image, ImageDraw
from keras.layers import Input, Concatenate, Dense
from keras.layers.recurrent import GRU
from keras.models import Model, load_model
from keras.applications import vgg16
from keras.optimizers import Adam
from keras.layers.core import regul... | 0.842572 | 0.489198 |
import time
import os
def programaparasalvar():
# coding: utf-8
"""
Este projeto está sendo desenvolvido inteiramente
Por <NAME>, e eu disponibilizei este projeto
Para o público, para que o conhecimento s... | Arquivos/GuardarSenha.py | import time
import os
def programaparasalvar():
# coding: utf-8
"""
Este projeto está sendo desenvolvido inteiramente
Por <NAME>, e eu disponibilizei este projeto
Para o público, para que o conhecimento s... | 0.059224 | 0.303783 |
import logging
import re
from makeCourse.markdownRenderer import MarkdownRenderer
from pathlib import Path, PurePath
from . import slugify
from .filter import burnInExtras
logger = logging.getLogger(__name__)
def load_item(course, data, parent=None):
try:
item_type = data['type']
except KeyError:
... | makeCourse/item.py | import logging
import re
from makeCourse.markdownRenderer import MarkdownRenderer
from pathlib import Path, PurePath
from . import slugify
from .filter import burnInExtras
logger = logging.getLogger(__name__)
def load_item(course, data, parent=None):
try:
item_type = data['type']
except KeyError:
... | 0.555676 | 0.133387 |
import math
def binary_to_decimal(number: int) -> int:
"""Return decimal version of the specified binary number."""
result = 0
for index, digit in enumerate(reversed(str(number))):
if index == 0:
result += int(digit)
else:
result += 2 ** index * int(digit)
retu... | Numbers/Binary to Decimal and Back Converter/binary_to_decimal_and_back_converter.py | import math
def binary_to_decimal(number: int) -> int:
"""Return decimal version of the specified binary number."""
result = 0
for index, digit in enumerate(reversed(str(number))):
if index == 0:
result += int(digit)
else:
result += 2 ** index * int(digit)
retu... | 0.818483 | 0.454533 |
import gen_utils
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin
import module_utils
import vtk
import gen_utils
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin
import module_utils
import vtk
class decimate(ScriptedConfigModuleMixin, Modul... | modules/filters/decimate.py |
import gen_utils
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin
import module_utils
import vtk
import gen_utils
from module_base import ModuleBase
from module_mixins import ScriptedConfigModuleMixin
import module_utils
import vtk
class decimate(ScriptedConfigModuleMixin, Modul... | 0.490724 | 0.083479 |
from unicorn import *
from enum import Enum
from termcolor import colored, cprint
from .utils import dict_add
class MemoryType(Enum):
STACK_MEMORY = 0
HEAP_MEMORY = 1
TEXT_MEMORY = 2
USER_MEMORY = 3
UNMAPPED_MEMORY = 4
UNDEFINED_MEMORY = 5
UNINITIALIZED_STACK_MEMORY = 6
UNINITIALIZ... | emulsia/memory_viewer.py | from unicorn import *
from enum import Enum
from termcolor import colored, cprint
from .utils import dict_add
class MemoryType(Enum):
STACK_MEMORY = 0
HEAP_MEMORY = 1
TEXT_MEMORY = 2
USER_MEMORY = 3
UNMAPPED_MEMORY = 4
UNDEFINED_MEMORY = 5
UNINITIALIZED_STACK_MEMORY = 6
UNINITIALIZ... | 0.470493 | 0.248278 |
from sys import version_info as _swig_python_version_info
if _swig_python_version_info >= (2, 7, 0):
def swig_import_helper():
import importlib
pkg = __name__.rpartition('.')[0]
mname = '.'.join((pkg, '_param_RubyCache')).lstrip('.')
try:
return importlib.import_module(m... | build/X86_MESI_Two_Level/python/m5/internal/param_RubyCache.py |
from sys import version_info as _swig_python_version_info
if _swig_python_version_info >= (2, 7, 0):
def swig_import_helper():
import importlib
pkg = __name__.rpartition('.')[0]
mname = '.'.join((pkg, '_param_RubyCache')).lstrip('.')
try:
return importlib.import_module(m... | 0.262842 | 0.061848 |
from rdflib import Graph, Literal, BNode, Namespace, RDF, URIRef
from rdflib.collection import Collection
from rdflib.extras.infixowl import Restriction
from namespaces import *
command_definitions = {
"Command": {
"tags": [ TAG.Command ],
"subclasses": {
"Cooling_Command": {
... | command.py | from rdflib import Graph, Literal, BNode, Namespace, RDF, URIRef
from rdflib.collection import Collection
from rdflib.extras.infixowl import Restriction
from namespaces import *
command_definitions = {
"Command": {
"tags": [ TAG.Command ],
"subclasses": {
"Cooling_Command": {
... | 0.353875 | 0.317426 |
"""Tests for the @export decorator."""
import importlib
import sys
import textwrap
import types
from importlib.machinery import ModuleSpec
from importlib.util import module_from_spec
import pytest
from pydecor.decorators import export
@pytest.fixture()
def reset_modules():
"""Ensure sys.modules is reset at the... | tests/decorators/test_export.py | """Tests for the @export decorator."""
import importlib
import sys
import textwrap
import types
from importlib.machinery import ModuleSpec
from importlib.util import module_from_spec
import pytest
from pydecor.decorators import export
@pytest.fixture()
def reset_modules():
"""Ensure sys.modules is reset at the... | 0.480722 | 0.294262 |
from cerridwen import defs
from .utils import jd2iso
from .planets import Moon, Sun, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto
def generate_event_table(jd_start, jd_end, planets=None, aspects=None,
compute_aspects=True, compute_ingresses=True, compute_retrogrades=True):
... | cerridwen/event_generator.py | from cerridwen import defs
from .utils import jd2iso
from .planets import Moon, Sun, Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto
def generate_event_table(jd_start, jd_end, planets=None, aspects=None,
compute_aspects=True, compute_ingresses=True, compute_retrogrades=True):
... | 0.260013 | 0.371336 |
import pandas as pd
import torch
import torch.nn as nn
import torch.utils.data
from torch_model_base import TorchModelBase
from utils import progress_bar
from torch_autoencoder import TorchAutoencoder
from torch.autograd import Variable
__author__ = "Simranjit"
__version__ = "CS224u, Stanford, Spring 2020"
class MMDV... | torch_autoencoder_mmd_info.py | import pandas as pd
import torch
import torch.nn as nn
import torch.utils.data
from torch_model_base import TorchModelBase
from utils import progress_bar
from torch_autoencoder import TorchAutoencoder
from torch.autograd import Variable
__author__ = "Simranjit"
__version__ = "CS224u, Stanford, Spring 2020"
class MMDV... | 0.82741 | 0.514461 |
import numpy as np
from sawyer.mujoco.tasks.base import ComposableTask
class InsertTask(ComposableTask):
"""
Task to insert a key object into an upward facing lock.
The task assumes the key is already grasped and the gripper is close to the
lock hole.
Reward function is based on the following h... | sawyer/mujoco/tasks/toy_tasks.py | import numpy as np
from sawyer.mujoco.tasks.base import ComposableTask
class InsertTask(ComposableTask):
"""
Task to insert a key object into an upward facing lock.
The task assumes the key is already grasped and the gripper is close to the
lock hole.
Reward function is based on the following h... | 0.874023 | 0.322139 |
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
# @@protoc_in... | google/ads/google_ads/v2/proto/services/keyword_view_service_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
# @@protoc_in... | 0.179818 | 0.087408 |
from barry.datasets.dataset import Dataset
from barry.datasets.dataset_power_spectrum_abc import PowerSpectrum
from barry.datasets.dataset_correlation_function_abc import CorrelationFunction
from tests.utils import get_concrete
class TestDataset:
classes = get_concrete(Dataset)
concrete = []
@classmethod... | tests/test_datasets.py | from barry.datasets.dataset import Dataset
from barry.datasets.dataset_power_spectrum_abc import PowerSpectrum
from barry.datasets.dataset_correlation_function_abc import CorrelationFunction
from tests.utils import get_concrete
class TestDataset:
classes = get_concrete(Dataset)
concrete = []
@classmethod... | 0.765243 | 0.666673 |
import os
import torch
from tqdm import tqdm
from abc import abstractmethod
from PIL import Image
if torch.__version__ >= '1.6.0':
from torch.cuda.amp import autocast
else:
from ..torch_amp_dummy import autocast
from .base import BaseVisualizer, BaseVideoVisualizer, get_collate_fn
from ..datasets import DATASE... | utils/runners/seg_visualizer.py | import os
import torch
from tqdm import tqdm
from abc import abstractmethod
from PIL import Image
if torch.__version__ >= '1.6.0':
from torch.cuda.amp import autocast
else:
from ..torch_amp_dummy import autocast
from .base import BaseVisualizer, BaseVideoVisualizer, get_collate_fn
from ..datasets import DATASE... | 0.743168 | 0.212457 |
from rest_framework import serializers
from .models import Category, Book
class CategorySerializer(serializers.HyperlinkedModelSerializer):
"""
Serializes a Category Model
"""
name = serializers.CharField(required=False)
class Meta:
model = Category
fields = (
'id',
'name',
'active'
)
def crea... | techk/apps/base/serializers.py | from rest_framework import serializers
from .models import Category, Book
class CategorySerializer(serializers.HyperlinkedModelSerializer):
"""
Serializes a Category Model
"""
name = serializers.CharField(required=False)
class Meta:
model = Category
fields = (
'id',
'name',
'active'
)
def crea... | 0.553747 | 0.324637 |