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 importlib.resources as lib_resources
import json
import logging
import coloredlogs
from questionary import Style
from . import resources
# initialize logger
LOGGER = logging.getLogger("Git Phoenix")
# parse phoenix-schema
PHOENIX_SCHEMA = json.loads(
lib_resources.read_text(resources, "phoenix-schema.jso... | src/__init__.py | import importlib.resources as lib_resources
import json
import logging
import coloredlogs
from questionary import Style
from . import resources
# initialize logger
LOGGER = logging.getLogger("Git Phoenix")
# parse phoenix-schema
PHOENIX_SCHEMA = json.loads(
lib_resources.read_text(resources, "phoenix-schema.jso... | 0.384103 | 0.188212 |
import unittest.mock
import typing
import django.test
import django.views.generic
from django.core.urlresolvers import reverse
from .. import models
from .. import views
# mypy can't handle static function variables (or I don't know how to set it up to work)
@typing.no_type_check
def get_dummy_audio_file(category: ... | audio_profiling/tests/test_views.py | import unittest.mock
import typing
import django.test
import django.views.generic
from django.core.urlresolvers import reverse
from .. import models
from .. import views
# mypy can't handle static function variables (or I don't know how to set it up to work)
@typing.no_type_check
def get_dummy_audio_file(category: ... | 0.393269 | 0.297342 |
import logging
import pandas as pd
from functools import reduce
import datetime
from utils.fetcher.base_weather import BaseWeatherFetcher
from .utils import create_aggr_df, load_local_data
__all__ = ('METDailyWEatherFetcher',)
logger = logging.getLogger(__name__)
class METDailyWeatherFetcher(BaseWeatherFetcher):
... | src/plugins/WEATHER/fetcher.py |
import logging
import pandas as pd
from functools import reduce
import datetime
from utils.fetcher.base_weather import BaseWeatherFetcher
from .utils import create_aggr_df, load_local_data
__all__ = ('METDailyWEatherFetcher',)
logger = logging.getLogger(__name__)
class METDailyWeatherFetcher(BaseWeatherFetcher):
... | 0.469034 | 0.173044 |
from random import randint
from cryptools import *
from binascii import *
p = 0x800000000000000089e1855218a0e7dac38136ffafa72eda7859f2171e25e65eac698c1702578b07dc2a1076da241c76c62d374d8389ea5aeffd3226a0530cc565f3bf6b50929139ebeac04f48c3c84afb796d61e5a4f9a8fda812ab59494232c7d2b4deb50aa18ee9e132bfa85ac4374d7f9091abc3d01... | set6/dsa_key_recovery_from_nonce.py | from random import randint
from cryptools import *
from binascii import *
p = 0x800000000000000089e1855218a0e7dac38136ffafa72eda7859f2171e25e65eac698c1702578b07dc2a1076da241c76c62d374d8389ea5aeffd3226a0530cc565f3bf6b50929139ebeac04f48c3c84afb796d61e5a4f9a8fda812ab59494232c7d2b4deb50aa18ee9e132bfa85ac4374d7f9091abc3d01... | 0.326486 | 0.279705 |
import binascii
import hashlib
import os
import os.path
import shutil
from absl import flags
from absl.testing import absltest
from fedjax.datasets import downloads
FLAGS = flags.FLAGS
class DownloadsTest(absltest.TestCase):
SOURCE = 'https://storage.googleapis.com/tff-datasets-public/shakespeare.sqlite.lzma'
H... | fedjax/datasets/downloads_test.py | import binascii
import hashlib
import os
import os.path
import shutil
from absl import flags
from absl.testing import absltest
from fedjax.datasets import downloads
FLAGS = flags.FLAGS
class DownloadsTest(absltest.TestCase):
SOURCE = 'https://storage.googleapis.com/tff-datasets-public/shakespeare.sqlite.lzma'
H... | 0.456894 | 0.40116 |
from sqlalchemy import create_engine
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import scoped_session, sessionmaker
from utils import CONFIG, uuid
db_url = CONFIG.get('database', 'url')
db_name = CONFIG.get('database', 'name')
db_user = CONFI... | lib/db.py | from sqlalchemy import create_engine
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import scoped_session, sessionmaker
from utils import CONFIG, uuid
db_url = CONFIG.get('database', 'url')
db_name = CONFIG.get('database', 'name')
db_user = CONFI... | 0.544317 | 0.075483 |
from collections.abc import MutableSequence
from random import randint
from operator import add, sub
from bit import BIT
# quick toggle for test intensity.
intensities = {
'quick': {
randint(1, 10),
randint(10, 100),
randint(100, 500)
},
'thorough': {
randint(1000, 10000),
... | tests/test_support.py | from collections.abc import MutableSequence
from random import randint
from operator import add, sub
from bit import BIT
# quick toggle for test intensity.
intensities = {
'quick': {
randint(1, 10),
randint(10, 100),
randint(100, 500)
},
'thorough': {
randint(1000, 10000),
... | 0.798933 | 0.33779 |
import unittest
from unittest.mock import patch
from tmc import points
from tmc.utils import load_module, reload_module, get_stdout, sanitize
from functools import reduce
exercise = 'src.factorial'
def outputs_equal(str1 : str, str2 : str) -> bool:
return sanitize(str1.lower()) == sanitize(str2.lower())
def get... | intro/part03-25_factorial/test/test_factorial.py | import unittest
from unittest.mock import patch
from tmc import points
from tmc.utils import load_module, reload_module, get_stdout, sanitize
from functools import reduce
exercise = 'src.factorial'
def outputs_equal(str1 : str, str2 : str) -> bool:
return sanitize(str1.lower()) == sanitize(str2.lower())
def get... | 0.373762 | 0.52208 |
import re
import argparse
from typing import Text
TITLE_PATTERN = re.compile(r"^(#{1,5})(\ .*)$", flags=re.MULTILINE)
def title(m):
prefix = m.group(1).replace('#', '!')
return prefix + m.group(2)
LINK_PATTERN = re.compile(r"""([^!]|^)\[(?P<text>.+?)\]\((?P<url>[^ ]+)(?: "(?P<title>.+)")?\)""", flags=re.M... | tools/convert.py |
import re
import argparse
from typing import Text
TITLE_PATTERN = re.compile(r"^(#{1,5})(\ .*)$", flags=re.MULTILINE)
def title(m):
prefix = m.group(1).replace('#', '!')
return prefix + m.group(2)
LINK_PATTERN = re.compile(r"""([^!]|^)\[(?P<text>.+?)\]\((?P<url>[^ ]+)(?: "(?P<title>.+)")?\)""", flags=re.M... | 0.551815 | 0.337845 |
# C0114 disabled because this module contains only one class
# pylint: disable=C0114
from copy import deepcopy
from typing import Optional
from google.cloud.bigquery.client import Client
from google.cloud.bigquery.job import LoadJobConfig, SourceFormat
from bq_test_kit.bq_dsl.bq_resources.data_loaders.base_data_loa... | src/bq_test_kit/bq_dsl/bq_resources/data_loaders/dsv_data_loader.py |
# C0114 disabled because this module contains only one class
# pylint: disable=C0114
from copy import deepcopy
from typing import Optional
from google.cloud.bigquery.client import Client
from google.cloud.bigquery.job import LoadJobConfig, SourceFormat
from bq_test_kit.bq_dsl.bq_resources.data_loaders.base_data_loa... | 0.865793 | 0.230411 |
#!/usr/bin/env python
# coding: utf-8
import requests
import os
import imgur_downloader as Imgur
import csv
comment_arr=[]
def getImages(url, search_filter, limit, posts_dict=None):
postArr=[]
if not posts_dict: # If no posts are passed, get post IDs and Images
print('Getting Posts')
resp = req... | API/getImages.py | #!/usr/bin/env python
# coding: utf-8
import requests
import os
import imgur_downloader as Imgur
import csv
comment_arr=[]
def getImages(url, search_filter, limit, posts_dict=None):
postArr=[]
if not posts_dict: # If no posts are passed, get post IDs and Images
print('Getting Posts')
resp = req... | 0.083771 | 0.055541 |
import unittest
from unittest import mock
from parameterized import parameterized
from airflow.cli import cli_parser
from airflow.cli.commands import scheduler_command
from airflow.utils.serve_logs import serve_logs
from tests.test_utils.config import conf_vars
class TestSchedulerCommand(unittest.TestCase):
@cl... | tests/cli/commands/test_scheduler_command.py | import unittest
from unittest import mock
from parameterized import parameterized
from airflow.cli import cli_parser
from airflow.cli.commands import scheduler_command
from airflow.utils.serve_logs import serve_logs
from tests.test_utils.config import conf_vars
class TestSchedulerCommand(unittest.TestCase):
@cl... | 0.608012 | 0.426322 |
import unittest
from graphserver.core import *
class TestCrossing(unittest.TestCase):
def test_basic(self):
cr = Crossing()
assert cr
assert cr.soul
assert cr.size == 0
assert cr.get_crossing_time( "1" ) == None
assert cr.get_crossing( 0 ) == N... | pygs/test/unit_test/test_crossing.py | import unittest
from graphserver.core import *
class TestCrossing(unittest.TestCase):
def test_basic(self):
cr = Crossing()
assert cr
assert cr.soul
assert cr.size == 0
assert cr.get_crossing_time( "1" ) == None
assert cr.get_crossing( 0 ) == N... | 0.582491 | 0.613931 |
from CIM14.IEC61970.Core.IdentifiedObject import IdentifiedObject
class BlockConnection(IdentifiedObject):
"""A meta-dyanamics model connectivity specification.
"""
def __init__(self, MetaBlockConnection=None, MemberOf_BlockConnectivity=None, Block=None, *args, **kw_args):
"""Initialises a new 'B... | CIM14/IEC61970/Dynamics/BlockConnection.py |
from CIM14.IEC61970.Core.IdentifiedObject import IdentifiedObject
class BlockConnection(IdentifiedObject):
"""A meta-dyanamics model connectivity specification.
"""
def __init__(self, MetaBlockConnection=None, MemberOf_BlockConnectivity=None, Block=None, *args, **kw_args):
"""Initialises a new 'B... | 0.67822 | 0.125574 |
import asyncio
import pytest
import aiobotocore.session
from tests._helpers import AsyncExitStack
@pytest.mark.asyncio
async def test_kinesis_stream_json_parser(exit_stack: AsyncExitStack):
# unfortunately moto doesn't support kinesis register_stream_consumer +
# subscribe_to_shard yet
stream_name = "my... | tests/python3.8/test_eventstreams.py | import asyncio
import pytest
import aiobotocore.session
from tests._helpers import AsyncExitStack
@pytest.mark.asyncio
async def test_kinesis_stream_json_parser(exit_stack: AsyncExitStack):
# unfortunately moto doesn't support kinesis register_stream_consumer +
# subscribe_to_shard yet
stream_name = "my... | 0.236781 | 0.235262 |
import tensorflow as tf
from .layers import Conv, Residual, SSP, route_group
def cspdarknet53(input_layer):
# block 1
layers = Conv(32, 3)(input_layer)
layers = Conv(64, 3, downsample=True)(layers)
route = layers
route = Conv(64, 1)(route)
layers = Conv(64, 1)(layers)
layers = Residual((... | yolo/model/backbone.py | import tensorflow as tf
from .layers import Conv, Residual, SSP, route_group
def cspdarknet53(input_layer):
# block 1
layers = Conv(32, 3)(input_layer)
layers = Conv(64, 3, downsample=True)(layers)
route = layers
route = Conv(64, 1)(route)
layers = Conv(64, 1)(layers)
layers = Residual((... | 0.892399 | 0.675761 |
import hashlib
import logging
import quopri
import re
import bs4 # type: ignore
from dateutil import parser
from circuit_maintenance_parser.parser import CircuitImpact, EmailSubjectParser, Impact, Status, Text
# pylint: disable=too-many-nested-blocks, too-many-branches
logger = logging.getLogger(__name__)
class... | circuit_maintenance_parser/parsers/aws.py | import hashlib
import logging
import quopri
import re
import bs4 # type: ignore
from dateutil import parser
from circuit_maintenance_parser.parser import CircuitImpact, EmailSubjectParser, Impact, Status, Text
# pylint: disable=too-many-nested-blocks, too-many-branches
logger = logging.getLogger(__name__)
class... | 0.604165 | 0.180215 |
from os.path import isdir, join
from sentence_transformers import SentenceTransformer, util
# Data locations
data_folder = '/home/coder/autogoal/autogoal/experimental/translator/data'
sentence_model_folder = 'sentence_transformers_model'
def text_similarity(text1, text2):
"""
Compute the Semantic Similarit... | autogoal/experimental/translator/_text_similarity.py |
from os.path import isdir, join
from sentence_transformers import SentenceTransformer, util
# Data locations
data_folder = '/home/coder/autogoal/autogoal/experimental/translator/data'
sentence_model_folder = 'sentence_transformers_model'
def text_similarity(text1, text2):
"""
Compute the Semantic Similarit... | 0.757884 | 0.458894 |
import unittest
import StringIO
import bio
class TestMappability( unittest.TestCase ):
def test_simple(self):
fasta = StringIO.StringIO( '>comment\nAAAAAAAAAA\nGTTTTTTTTT' )
fq = bio.FastqPosGenerator( fasta, log=bio.log_quiet )
mapper = bio.Mappability( fq, self._matching_mapper_function, 5, min_pos=3... | mgsa/tests/test_bio_bias.py | import unittest
import StringIO
import bio
class TestMappability( unittest.TestCase ):
def test_simple(self):
fasta = StringIO.StringIO( '>comment\nAAAAAAAAAA\nGTTTTTTTTT' )
fq = bio.FastqPosGenerator( fasta, log=bio.log_quiet )
mapper = bio.Mappability( fq, self._matching_mapper_function, 5, min_pos=3... | 0.506836 | 0.421016 |
import matplotlib.pyplot as plt
from scipy.stats import pearsonr
import numpy as np
import csv
import os
from matplotlib import rc
from mort import dataMoral
import seaborn as sns
rc('font', **{'family':'sans-serif','sans-serif':['Arial']})
sns.set(style='ticks', palette='Set2')
rc('text', usetex=True)
# how to comp... | MoRT/mort/plot_corr/plt_WEATCorr.py | import matplotlib.pyplot as plt
from scipy.stats import pearsonr
import numpy as np
import csv
import os
from matplotlib import rc
from mort import dataMoral
import seaborn as sns
rc('font', **{'family':'sans-serif','sans-serif':['Arial']})
sns.set(style='ticks', palette='Set2')
rc('text', usetex=True)
# how to comp... | 0.151843 | 0.476336 |
from pyecharts import Sankey, Page, Style
from app.charts.constants import HEIGHT, WIDTH
ENERGY = {
"nodes": [
{
"name": "Agricultural 'waste'"
},
{
"name": "Bio-conversion"
},
{
"name": "Liquid"
},
{
"name": "L... | app/charts/sankey.py | from pyecharts import Sankey, Page, Style
from app.charts.constants import HEIGHT, WIDTH
ENERGY = {
"nodes": [
{
"name": "Agricultural 'waste'"
},
{
"name": "Bio-conversion"
},
{
"name": "Liquid"
},
{
"name": "L... | 0.656988 | 0.275568 |
import logging
from tensorflow.keras.layers import Layer
from ludwig.modules.fully_connected_modules import FCStack
logger = logging.getLogger(__name__)
class PassthroughEncoder(Layer):
def __init__(
self,
**kwargs
):
super(PassthroughEncoder, self).__init__()
logge... | ludwig/encoders/generic_encoders.py | import logging
from tensorflow.keras.layers import Layer
from ludwig.modules.fully_connected_modules import FCStack
logger = logging.getLogger(__name__)
class PassthroughEncoder(Layer):
def __init__(
self,
**kwargs
):
super(PassthroughEncoder, self).__init__()
logge... | 0.901852 | 0.236571 |
import functools
from pycce.utilities import *
from .base import Hamiltonian
from .functions import *
def hamiltonian_wrapper(_func=None, *, projected=False):
"""
Wrapper with the general structure for the cluster Hamiltonian.
Adds several additional arguments to the wrapped function.
**Additional p... | pycce/h/total.py | import functools
from pycce.utilities import *
from .base import Hamiltonian
from .functions import *
def hamiltonian_wrapper(_func=None, *, projected=False):
"""
Wrapper with the general structure for the cluster Hamiltonian.
Adds several additional arguments to the wrapped function.
**Additional p... | 0.87116 | 0.556761 |
import os
import math
import logging
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.keras.models import *
from tensorflow.keras.layers import *
from tqdm import tqdm
from tqdm import trange
from BayesKeras.optimizers import optimizer
from BayesKeras.optimizers import ... | CertifiableBayesianInference/BayesKeras/optimizers/noisyadam.py |
import os
import math
import logging
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.keras.models import *
from tensorflow.keras.layers import *
from tqdm import tqdm
from tqdm import trange
from BayesKeras.optimizers import optimizer
from BayesKeras.optimizers import ... | 0.770983 | 0.282847 |
from smc.base.model import Element, ElementCreator
from smc.base.structs import NestedDict
from smc.base.util import element_resolver
from smc.administration.system import AdminDomain
class AccessControlList(Element):
"""
An ACL is assigned to an AdminUser to grant limited access permissions
to either Eng... | smc/administration/access_rights.py | from smc.base.model import Element, ElementCreator
from smc.base.structs import NestedDict
from smc.base.util import element_resolver
from smc.administration.system import AdminDomain
class AccessControlList(Element):
"""
An ACL is assigned to an AdminUser to grant limited access permissions
to either Eng... | 0.840815 | 0.286937 |
import cv2
import numpy as np
import math
import joblib
import solution_generator
cap = cv2.VideoCapture(0)
colours = ['orange' , 'red' , 'green' , 'blue' , 'yellow' , 'white']
s_scalar = joblib.load('Scalar1')
model = joblib.load('model_0.04')
colours_array = ['0' , '0' , '0' , '0' , '0' , '0' , '... | countours_detect.py | import cv2
import numpy as np
import math
import joblib
import solution_generator
cap = cv2.VideoCapture(0)
colours = ['orange' , 'red' , 'green' , 'blue' , 'yellow' , 'white']
s_scalar = joblib.load('Scalar1')
model = joblib.load('model_0.04')
colours_array = ['0' , '0' , '0' , '0' , '0' , '0' , '... | 0.135175 | 0.138055 |
from django.test import TestCase
from burnDownBackEnd.models import Company, Team, Sprint, Pbi
from burnDownBackEnd.forms import SprintForm, PbiForm
from datetime import datetime, timedelta, date
from django.utils import timezone
import logging
from django.test import Client
from rest_framework.test import APIRequest... | burnDownBackEnd/tests/tests_sprint.py | from django.test import TestCase
from burnDownBackEnd.models import Company, Team, Sprint, Pbi
from burnDownBackEnd.forms import SprintForm, PbiForm
from datetime import datetime, timedelta, date
from django.utils import timezone
import logging
from django.test import Client
from rest_framework.test import APIRequest... | 0.402392 | 0.221119 |
from vanilla import *
import os
import tempfile
from compositor import Font as FeatureFont
from compositor.textUtilities import convertCase
from defconAppKit.windows.baseWindow import BaseWindowController
from defconAppKit.controls.openTypeControlsView import OpenTypeControlsView
from defconAppKit.controls.glyphSequ... | featurePreview/FeaturePreview.roboFontExt/lib/featurePreview.py | from vanilla import *
import os
import tempfile
from compositor import Font as FeatureFont
from compositor.textUtilities import convertCase
from defconAppKit.windows.baseWindow import BaseWindowController
from defconAppKit.controls.openTypeControlsView import OpenTypeControlsView
from defconAppKit.controls.glyphSequ... | 0.486088 | 0.108001 |
import requests
from bs4 import BeautifulSoup as bs
from progress.bar import PixelBar
import os
import time
from texttable import Texttable
from prettytable import PrettyTable
from colorama import Fore,Back,Style
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class bcolors:
HEADER =... | Gadget(S)pecs.py | import requests
from bs4 import BeautifulSoup as bs
from progress.bar import PixelBar
import os
import time
from texttable import Texttable
from prettytable import PrettyTable
from colorama import Fore,Back,Style
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class bcolors:
HEADER =... | 0.059183 | 0.079675 |
import json
from typing import Optional
from rest_framework.fields import ListField, SerializerMethodField
from rest_framework.serializers import ListSerializer
from .mapping import mappings
from .type_hinting_mapping import type_hinting_mapping
class Transpiler:
mapping = mappings
type_mapping ... | rest_serializer_to_typescript/main.py | import json
from typing import Optional
from rest_framework.fields import ListField, SerializerMethodField
from rest_framework.serializers import ListSerializer
from .mapping import mappings
from .type_hinting_mapping import type_hinting_mapping
class Transpiler:
mapping = mappings
type_mapping ... | 0.7237 | 0.05132 |
"""Script to fetch cryptocurrency exchange rates from CoinMarketCap."""
from argparse import ArgumentParser
from datetime import date, datetime, timedelta
import json
from typing import List, Optional
from cassandra.cluster import Cluster, Session
import pandas as pd
import requests
MIN_START = "2015-01-01"
FX_URL =... | scripts/ingest_rates_coinmarketcap.py | """Script to fetch cryptocurrency exchange rates from CoinMarketCap."""
from argparse import ArgumentParser
from datetime import date, datetime, timedelta
import json
from typing import List, Optional
from cassandra.cluster import Cluster, Session
import pandas as pd
import requests
MIN_START = "2015-01-01"
FX_URL =... | 0.891988 | 0.302539 |
import sys
import asyncio
from plico.utils.logger import Logger
import logging
class NewFocus8742ServerProtocol(asyncio.Protocol):
eol_read = b"\r"
eol_write = b"\r\n"
RUNNING_MESSAGE = "fakenewfocus8742_is_running."
def __init__(self):
self._logger = Logger.of('NewFocus8742ServerProtocol')
... | plico_motor_server/devices/fake_newfocus8742.py | import sys
import asyncio
from plico.utils.logger import Logger
import logging
class NewFocus8742ServerProtocol(asyncio.Protocol):
eol_read = b"\r"
eol_write = b"\r\n"
RUNNING_MESSAGE = "fakenewfocus8742_is_running."
def __init__(self):
self._logger = Logger.of('NewFocus8742ServerProtocol')
... | 0.274838 | 0.093969 |
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from .common import SELENIUM_EXCEPTIONS, archiver, logger, click_button
LOG = logger(__n... | deletefb/tools/likes.py | from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from .common import SELENIUM_EXCEPTIONS, archiver, logger, click_button
LOG = logger(__n... | 0.710025 | 0.094093 |
import pytest
from pyatv.exceptions import ProtocolError
from pyatv.protocols.raop.parsers import (
EncryptionType,
MetadataType,
get_audio_properties,
get_encryption_types,
get_metadata_types,
)
@pytest.mark.parametrize(
"properties,expected_sr,expected_ch,expected_ss",
[
({}, 4... | tests/protocols/raop/test_parsers.py |
import pytest
from pyatv.exceptions import ProtocolError
from pyatv.protocols.raop.parsers import (
EncryptionType,
MetadataType,
get_audio_properties,
get_encryption_types,
get_metadata_types,
)
@pytest.mark.parametrize(
"properties,expected_sr,expected_ch,expected_ss",
[
({}, 4... | 0.712032 | 0.724091 |
# This script generates the /etc/haproxy/haproxy.cfg file based on the template () and configuration (/data/haproxy/haproxy-redirect-configuration.yml)
import os
import sys
import errno
import yaml
from jinja2 import Environment, FileSystemLoader
AVAILABLE_ENVIRONMENTS = ["test", "development", "staging", "productio... | haproxy-config-generator-app/app.py |
# This script generates the /etc/haproxy/haproxy.cfg file based on the template () and configuration (/data/haproxy/haproxy-redirect-configuration.yml)
import os
import sys
import errno
import yaml
from jinja2 import Environment, FileSystemLoader
AVAILABLE_ENVIRONMENTS = ["test", "development", "staging", "productio... | 0.344113 | 0.153232 |
import logging
import os
from configparser import ConfigParser
from typing import List
from jinja2.environment import Environment
from jinja2.loaders import FileSystemLoader
from sydent.config._base import BaseConfig
from sydent.util.ip_range import DEFAULT_IP_RANGE_BLACKLIST, generate_ip_set
logger = logging.getLo... | sydent/config/general.py |
import logging
import os
from configparser import ConfigParser
from typing import List
from jinja2.environment import Environment
from jinja2.loaders import FileSystemLoader
from sydent.config._base import BaseConfig
from sydent.util.ip_range import DEFAULT_IP_RANGE_BLACKLIST, generate_ip_set
logger = logging.getLo... | 0.769254 | 0.087019 |
from cv2 import resize, INTER_NEAREST
from math import ceil
from enum import Enum
class Direction(Enum):
VERTICAL = 0
HORIZONTAL = 1
ALL = 2
def is_occluded(larger_box, smaller_box):
return not (larger_box[2] <= smaller_box[0] or larger_box[0] >= smaller_box[2] or larger_box[3] <= smaller_box[1] or la... | Preprocessor/BoxOperations.py | from cv2 import resize, INTER_NEAREST
from math import ceil
from enum import Enum
class Direction(Enum):
VERTICAL = 0
HORIZONTAL = 1
ALL = 2
def is_occluded(larger_box, smaller_box):
return not (larger_box[2] <= smaller_box[0] or larger_box[0] >= smaller_box[2] or larger_box[3] <= smaller_box[1] or la... | 0.690663 | 0.339239 |
import ipaddress
import itertools
import logging
from .exceptions import InvalidConfiguration
from .utils import Base, StrEnum
logger = logging.getLogger(__name__)
class Direction(StrEnum):
Ingress = 'ingress'
Egress = 'egress'
class EtherType(StrEnum):
IPv4 = 'IPv4'
IPv6 = 'IPv6'
class Protoco... | sgmanager/rule.py |
import ipaddress
import itertools
import logging
from .exceptions import InvalidConfiguration
from .utils import Base, StrEnum
logger = logging.getLogger(__name__)
class Direction(StrEnum):
Ingress = 'ingress'
Egress = 'egress'
class EtherType(StrEnum):
IPv4 = 'IPv4'
IPv6 = 'IPv6'
class Protoco... | 0.549399 | 0.066721 |
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.cloud.recommender_v1beta1.proto import (
insight_pb2 as google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_insight__pb2,
)
from google.cloud.recommender_v1beta1.proto import (
recommendation_pb2 as google_d... | google/cloud/recommender_v1beta1/proto/recommender_service_pb2_grpc.py | """Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.cloud.recommender_v1beta1.proto import (
insight_pb2 as google_dot_cloud_dot_recommender__v1beta1_dot_proto_dot_insight__pb2,
)
from google.cloud.recommender_v1beta1.proto import (
recommendation_pb2 as google_d... | 0.637031 | 0.140838 |
import sys, time, string, os, yaml, datetime, socket
from functools import partial
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QMainWindow
sys.path.append("Client")
import client
with open("config.yml", 'r') as cfg: # open config to populate certain areas of the GUI
config = yaml.load(cf... | Stock Managment System/Client/GUI/SMS_GUI.py | import sys, time, string, os, yaml, datetime, socket
from functools import partial
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QMainWindow
sys.path.append("Client")
import client
with open("config.yml", 'r') as cfg: # open config to populate certain areas of the GUI
config = yaml.load(cf... | 0.329715 | 0.067917 |
from PB.go.chromium.org.luci.buildbucket.proto import common as common_pb2
from recipe_engine.recipe_api import Property
DEPS = [
"flutter/display_util",
"fuchsia/status_check",
"recipe_engine/buildbucket",
]
PROPERTIES = {
"raise_on_failure": Property(kind=bool, default=True),
}
def RunSteps(api, r... | recipe_modules/display_util/examples/display_builds.py |
from PB.go.chromium.org.luci.buildbucket.proto import common as common_pb2
from recipe_engine.recipe_api import Property
DEPS = [
"flutter/display_util",
"fuchsia/status_check",
"recipe_engine/buildbucket",
]
PROPERTIES = {
"raise_on_failure": Property(kind=bool, default=True),
}
def RunSteps(api, r... | 0.708213 | 0.149159 |
import numpy as np
from matplotlib import pyplot as plt
import sys
import re
from os.path import join
fs = 100
def stamp_to_seconds(t):
h, m, s, ms = [int(x) for x in re.search("(\d+):(\d+):(\d+),(\d+)", t).groups()]
return 3600 * h + 60 * m + s + 0.001 * ms
good_runs = ["07_02_14", "07_04_45", "08_11_19", "... | figures/seal_schedule.py | import numpy as np
from matplotlib import pyplot as plt
import sys
import re
from os.path import join
fs = 100
def stamp_to_seconds(t):
h, m, s, ms = [int(x) for x in re.search("(\d+):(\d+):(\d+),(\d+)", t).groups()]
return 3600 * h + 60 * m + s + 0.001 * ms
good_runs = ["07_02_14", "07_04_45", "08_11_19", "... | 0.268845 | 0.418459 |
import json
import textwrap
import argparse
from starthinker.util.bigquery import get_schema
from starthinker.util.bigquery import rows_to_table
from starthinker.util.bigquery import table_to_schema
from starthinker.util.configuration import Configuration
from starthinker.util.configuration import commandline_parser
... | starthinker/tool/bigquery.py |
import json
import textwrap
import argparse
from starthinker.util.bigquery import get_schema
from starthinker.util.bigquery import rows_to_table
from starthinker.util.bigquery import table_to_schema
from starthinker.util.configuration import Configuration
from starthinker.util.configuration import commandline_parser
... | 0.359477 | 0.25447 |
import argparse
import numpy as np
import pandas as pd
from tqdm import tqdm
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
import keras
import keras.backend as K
from keras.models import Model
from keras.utils import to_categorical
from keras.callbacks import ModelCheckpoin... | model/model.py | import argparse
import numpy as np
import pandas as pd
from tqdm import tqdm
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
import keras
import keras.backend as K
from keras.models import Model
from keras.utils import to_categorical
from keras.callbacks import ModelCheckpoin... | 0.656218 | 0.236054 |
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Fight',
... | saakar/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Fight',
... | 0.611614 | 0.136897 |
from datetime import datetime
from typing import Dict, List, Set, Tuple, Union
from uuid import UUID
from pydantic import BaseModel, Field, NonNegativeFloat, validator
from spacenet.analysis.indirect_entities import IndirectEntity
from spacenet.analysis.errors import SimError
from spacenet.schemas import AllElements,... | spacenet/analysis/entities.py | from datetime import datetime
from typing import Dict, List, Set, Tuple, Union
from uuid import UUID
from pydantic import BaseModel, Field, NonNegativeFloat, validator
from spacenet.analysis.indirect_entities import IndirectEntity
from spacenet.analysis.errors import SimError
from spacenet.schemas import AllElements,... | 0.908658 | 0.354629 |
import idfy_rest_client.models.dialogs
import idfy_rest_client.models.signature_styling
class UI(object):
"""Implementation of the 'UI' model.
TODO: type model description here.
Attributes:
dialogs (Dialogs): You can create dialogs that will be showed to the
signer in the ... | idfy_rest_client/models/ui.py | import idfy_rest_client.models.dialogs
import idfy_rest_client.models.signature_styling
class UI(object):
"""Implementation of the 'UI' model.
TODO: type model description here.
Attributes:
dialogs (Dialogs): You can create dialogs that will be showed to the
signer in the ... | 0.542863 | 0.159741 |
from __future__ import annotations
import json
import logging
from typing import Any, Generic, TypeVar
from aioaws.s3 import S3Client, S3Config
from httpx import AsyncClient
from bender.trained_model.interface import TrainedModel
from bender.trained_model.xgboosted_tree import TrainedXGBoostModel
logger = logging.g... | bender/model_loader/model_loader.py | from __future__ import annotations
import json
import logging
from typing import Any, Generic, TypeVar
from aioaws.s3 import S3Client, S3Config
from httpx import AsyncClient
from bender.trained_model.interface import TrainedModel
from bender.trained_model.xgboosted_tree import TrainedXGBoostModel
logger = logging.g... | 0.801042 | 0.097347 |
from os.path import dirname, abspath
BASE_PATH = dirname(dirname(abspath(__file__))) + "/"
VIDEO_PATH = BASE_PATH + "videos/"
class Playlist:
"""
Class to hold the playlist of videos to be played
"""
def __init__(self):
self.__playlist = []
def add_playlist_item(self, video_file, tim... | piwallcontroller/playlist.py | from os.path import dirname, abspath
BASE_PATH = dirname(dirname(abspath(__file__))) + "/"
VIDEO_PATH = BASE_PATH + "videos/"
class Playlist:
"""
Class to hold the playlist of videos to be played
"""
def __init__(self):
self.__playlist = []
def add_playlist_item(self, video_file, tim... | 0.548915 | 0.140779 |
import pycocotools.mask as cocomask
import numpy as np
import cv2
def cut(mask, ref_mask):
mask = cocomask.decode(mask)
ref_mask = cocomask.decode(ref_mask)
mask = np.where(mask == ref_mask, 0, mask)
mask = cocomask.encode(np.asfortranarray(mask))
mask['counts'] = mask['counts'].decode("UTF-8")
... | tracker/tracked_sequence.py | import pycocotools.mask as cocomask
import numpy as np
import cv2
def cut(mask, ref_mask):
mask = cocomask.decode(mask)
ref_mask = cocomask.decode(ref_mask)
mask = np.where(mask == ref_mask, 0, mask)
mask = cocomask.encode(np.asfortranarray(mask))
mask['counts'] = mask['counts'].decode("UTF-8")
... | 0.520253 | 0.316092 |
import os
global server_name
server_name = 'gdb'
global follow
follow = False
def vim_goto_location(file, line):
if file is None or line is None:
return
keystrokes = '<Esc>:edit {}<CR>:{}<CR>zz'.format(file, line)
os.system('vim --servername {} --remote-send "{}"'.format(server_name, keystrokes))
... | vim-follow.py | import os
global server_name
server_name = 'gdb'
global follow
follow = False
def vim_goto_location(file, line):
if file is None or line is None:
return
keystrokes = '<Esc>:edit {}<CR>:{}<CR>zz'.format(file, line)
os.system('vim --servername {} --remote-send "{}"'.format(server_name, keystrokes))
... | 0.135461 | 0.04904 |
# ------------------------------------------------------------------------------
import logging
from collections import defaultdict
from multiprocessing.util import register_after_fork
from projex.lazymodule import lazy_import
from projex.text import nativestring as nstr
log = logging.getLogger(__name__)
orb = lazy... | orb/core/database.py |
# ------------------------------------------------------------------------------
import logging
from collections import defaultdict
from multiprocessing.util import register_after_fork
from projex.lazymodule import lazy_import
from projex.text import nativestring as nstr
log = logging.getLogger(__name__)
orb = lazy... | 0.754282 | 0.113555 |
from django.db import models
from api.models.gcd.country import GCDCountry
from api.models.gcd.language import GCDLanguage
from api.models.gcd.image import GCDImage
from api.models.gcd.publisher import GCDPublisher
class GCDSeries(models.Model):
class Meta:
app_label = 'api'
ordering = ['sort_name... | api/models/gcd/series.py | from django.db import models
from api.models.gcd.country import GCDCountry
from api.models.gcd.language import GCDLanguage
from api.models.gcd.image import GCDImage
from api.models.gcd.publisher import GCDPublisher
class GCDSeries(models.Model):
class Meta:
app_label = 'api'
ordering = ['sort_name... | 0.721645 | 0.196441 |
from flask_restful import Resource, reqparse
from models.mall import MallModel
class Mall(Resource):
"""
Class for the /mall/<string:name> end points.
This class content:
- Func to retrieve Mall data by a name.
- Func to add new Mall to Malls database
- Func t... | digeiz_api/resources/mall.py | from flask_restful import Resource, reqparse
from models.mall import MallModel
class Mall(Resource):
"""
Class for the /mall/<string:name> end points.
This class content:
- Func to retrieve Mall data by a name.
- Func to add new Mall to Malls database
- Func t... | 0.588416 | 0.175715 |
import os
import sys
import subprocess
import select
import time
import signal
import math
import re
##usage formatsdcard really [devid]
## device id needs to be greater than 0 (avoid accidentally overwriting hard disk)
if ( len(sys.argv) == 3 and sys.argv[1] == "really" and int(sys.argv[2]) > 0 ):
sdCardDev = ... | installer/macosx/formatsdcard.py |
import os
import sys
import subprocess
import select
import time
import signal
import math
import re
##usage formatsdcard really [devid]
## device id needs to be greater than 0 (avoid accidentally overwriting hard disk)
if ( len(sys.argv) == 3 and sys.argv[1] == "really" and int(sys.argv[2]) > 0 ):
sdCardDev = ... | 0.049808 | 0.063861 |
import time
import subprocess
import logging
logger = logging.getLogger()
import os.path
import hwsim_utils
import hostapd
def check_cipher(dev, ap, cipher):
if cipher not in dev.get_capability("pairwise"):
return "skip"
params = { "ssid": "test-wpa2-psk",
"wpa_passphrase": "<PASSWORD>... | tests/hwsim/test_ap_ciphers.py |
import time
import subprocess
import logging
logger = logging.getLogger()
import os.path
import hwsim_utils
import hostapd
def check_cipher(dev, ap, cipher):
if cipher not in dev.get_capability("pairwise"):
return "skip"
params = { "ssid": "test-wpa2-psk",
"wpa_passphrase": "<PASSWORD>... | 0.264833 | 0.157785 |
# Простой декоратор
print(' Простой декоратор Простой декоратор')
def show_information(f): # Классичесский декоратор
def wrapper():
print('Код до функции!')
f()
print('Код после функции')
return wrapper
def simple_function():
print('Я простая функция')
# просто сначала про... | decorator_exemple.py |
# Простой декоратор
print(' Простой декоратор Простой декоратор')
def show_information(f): # Классичесский декоратор
def wrapper():
print('Код до функции!')
f()
print('Код после функции')
return wrapper
def simple_function():
print('Я простая функция')
# просто сначала про... | 0.231006 | 0.306439 |
from typing import Union
from . import _qsort
from ._pack import Pack
class Knapsack:
"""
The Knapsack Problem is a famous Dynamic Programming Problem that falls
in the optimization category.
It derives its name from a scenario where, given a set of items with
specific weights and assigned value... | SpAlgo/_knapsack/_knapsack.py | from typing import Union
from . import _qsort
from ._pack import Pack
class Knapsack:
"""
The Knapsack Problem is a famous Dynamic Programming Problem that falls
in the optimization category.
It derives its name from a scenario where, given a set of items with
specific weights and assigned value... | 0.904785 | 0.410461 |
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, List, NamedTuple, Optional, TYPE_CHECKING, Union
import numpy
import torch
if TYPE_CHECKING:
from hylfm.datasets import ConcatDataset
try:
from typing import Protocol
except ImportError:
from typing_extensions import Pr... | hylfm/hylfm_types.py | from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, List, NamedTuple, Optional, TYPE_CHECKING, Union
import numpy
import torch
if TYPE_CHECKING:
from hylfm.datasets import ConcatDataset
try:
from typing import Protocol
except ImportError:
from typing_extensions import Pr... | 0.8746 | 0.285989 |
import os
import numpy as np
import requests
from bs4 import BeautifulSoup
# Work dir
Path = 'Data/1-HTML'
#Crawl main Transcripts site
url = 'http://www.stargate-sg1-solutions.com/wiki/Transcripts'
html = requests.get(url)
content = html.text
start = content.split('<h3><span class="mw-headline" id="Episode_Transcri... | src/1-Crawler/crawler.py | import os
import numpy as np
import requests
from bs4 import BeautifulSoup
# Work dir
Path = 'Data/1-HTML'
#Crawl main Transcripts site
url = 'http://www.stargate-sg1-solutions.com/wiki/Transcripts'
html = requests.get(url)
content = html.text
start = content.split('<h3><span class="mw-headline" id="Episode_Transcri... | 0.179782 | 0.068694 |
from hashlib import sha256
from typing import Any, Dict
from functools import reduce
from urllib.parse import urljoin, urlparse
from selenium import webdriver
import re
def str_to_sha256_hex_digest(_str: str) -> str:
"""Converts string to sha256 hex digest"""
if not _str and not isinstance(_str, str):
... | dataPipelines/gc_crawler/utils.py | from hashlib import sha256
from typing import Any, Dict
from functools import reduce
from urllib.parse import urljoin, urlparse
from selenium import webdriver
import re
def str_to_sha256_hex_digest(_str: str) -> str:
"""Converts string to sha256 hex digest"""
if not _str and not isinstance(_str, str):
... | 0.746601 | 0.236351 |
from .cube import *
from display import *
import generators
import random
class Snake:
def __init__(self, pos, colour):
self.snake = [pos]
self.colour = colour
self.direction = random.choice([d for d in Direction])
def can_advance(self, direction, avoid_positions):
p = self.snake[0] + direction.va... | visuals/snakes.py | from .cube import *
from display import *
import generators
import random
class Snake:
def __init__(self, pos, colour):
self.snake = [pos]
self.colour = colour
self.direction = random.choice([d for d in Direction])
def can_advance(self, direction, avoid_positions):
p = self.snake[0] + direction.va... | 0.615781 | 0.25324 |
import socket
import struct
import time
import thread
import sys
from collections import deque
import random
import math
import threading
sys.path.append('../include')
from constants import *
from headers import *
from db import kv
path_query = "query.txt"
num_query = 1000000
zipf = 0.99
len_key = 16
len_val = 128
... | client/client.py | import socket
import struct
import time
import thread
import sys
from collections import deque
import random
import math
import threading
sys.path.append('../include')
from constants import *
from headers import *
from db import kv
path_query = "query.txt"
num_query = 1000000
zipf = 0.99
len_key = 16
len_val = 128
... | 0.183667 | 0.077378 |
import torch
import matplotlib.pyplot as plt
import torchvision.transforms as transforms
from mpl_toolkits.axes_grid1 import ImageGrid
from skimage.exposure import match_histograms
from PIL import Image
from torchvision.transforms.functional import InterpolationMode
from utils import *
def train_st(config, dataload... | super_resolution/Perceptual_Losses_For_Style_Transfer_And_Super_Resolution_PyTorch/train.py | import torch
import matplotlib.pyplot as plt
import torchvision.transforms as transforms
from mpl_toolkits.axes_grid1 import ImageGrid
from skimage.exposure import match_histograms
from PIL import Image
from torchvision.transforms.functional import InterpolationMode
from utils import *
def train_st(config, dataload... | 0.790449 | 0.469885 |
import itertools
import math
import numpy as np
import pandas as pd
import scipy.stats
import statsmodels.stats.multitest
from figures.figure1 import find_leaves
from figures.util import experiments, mcc, get_subplots, produce_figure, plot_grid, plot_annotations, plot_scatter, \
to_col_name
def generate_qval_da... | figures/figure3.py | import itertools
import math
import numpy as np
import pandas as pd
import scipy.stats
import statsmodels.stats.multitest
from figures.figure1 import find_leaves
from figures.util import experiments, mcc, get_subplots, produce_figure, plot_grid, plot_annotations, plot_scatter, \
to_col_name
def generate_qval_da... | 0.458834 | 0.422803 |
import logging
import homeassistant.util.dt as dt_util
from homeassistant.core import (
HomeAssistant,
callback,
)
from homeassistant.helpers.event import (
async_track_state_change,
async_track_point_in_time,
)
from homeassistant.helpers.dispatcher import (
async_dispatcher_conne... | custom_components/alarmo/sensors.py | import logging
import homeassistant.util.dt as dt_util
from homeassistant.core import (
HomeAssistant,
callback,
)
from homeassistant.helpers.event import (
async_track_state_change,
async_track_point_in_time,
)
from homeassistant.helpers.dispatcher import (
async_dispatcher_conne... | 0.37319 | 0.065755 |
import argparse
from datetime import datetime
import numpy as np
import scipy.sparse as sp
from sklearn.linear_model import SGDRegressor
from sklearn.metrics import mean_absolute_error
from sklearn.metrics import mean_squared_error
from feature_extractors import Extract1DBins
from feature_extractors import ExtractGPS... | model.py | import argparse
from datetime import datetime
import numpy as np
import scipy.sparse as sp
from sklearn.linear_model import SGDRegressor
from sklearn.metrics import mean_absolute_error
from sklearn.metrics import mean_squared_error
from feature_extractors import Extract1DBins
from feature_extractors import ExtractGPS... | 0.619241 | 0.52543 |
from __future__ import print_function, with_statement, absolute_import
import pytest
import sys
from tests.helpers.session import DebugSession
@pytest.mark.parametrize('run_as', ['file', 'module', 'code'])
def test_with_wait_for_attach(pyfile, run_as, start_method):
@pyfile
def code_to_debug():
# N... | tests/func/test_break_into_dbg.py |
from __future__ import print_function, with_statement, absolute_import
import pytest
import sys
from tests.helpers.session import DebugSession
@pytest.mark.parametrize('run_as', ['file', 'module', 'code'])
def test_with_wait_for_attach(pyfile, run_as, start_method):
@pyfile
def code_to_debug():
# N... | 0.357792 | 0.229147 |
from collections import namedtuple
import pytest
import requests
from simulations.ice_client import ICE
FLUXOMICS = [
{
"name": "Phosphofructokinase",
"identifier": "PFK",
"namespace": "bigg.reaction",
"measurement": 5,
"uncertainty": 0,
}
]
UPTAKE_SECRETION_RATES = ... | tests/integration/test_endpoints.py | from collections import namedtuple
import pytest
import requests
from simulations.ice_client import ICE
FLUXOMICS = [
{
"name": "Phosphofructokinase",
"identifier": "PFK",
"namespace": "bigg.reaction",
"measurement": 5,
"uncertainty": 0,
}
]
UPTAKE_SECRETION_RATES = ... | 0.787768 | 0.41938 |
# Form implementation generated from reading ui file 'e:/Code/MyQT/typing/typing.ui'
#
# Created by: PyQt5 UI code generator 5.13.0
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Form(object):
def setupUi(self, Form):
Form.setOb... | typing/ui.py |
# Form implementation generated from reading ui file 'e:/Code/MyQT/typing/typing.ui'
#
# Created by: PyQt5 UI code generator 5.13.0
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Form(object):
def setupUi(self, Form):
Form.setOb... | 0.438304 | 0.042702 |
def get_root_node(net, treeKey='mst'):
"""
Return root node in network tree.
"""
check_tree_key(net, treeKey)
node = net.nodes()[0]
while node.memory[treeKey]['parent'] and \
node.memory[treeKey]['parent'] in net.nodes():
node = node.memory[treeKey]['parent']
return node
... | pymote2.1/pymote/utils/tree.py | def get_root_node(net, treeKey='mst'):
"""
Return root node in network tree.
"""
check_tree_key(net, treeKey)
node = net.nodes()[0]
while node.memory[treeKey]['parent'] and \
node.memory[treeKey]['parent'] in net.nodes():
node = node.memory[treeKey]['parent']
return node
... | 0.727879 | 0.521167 |
import os
import sqlite3
import argparse
import random
import numpy as np
import re
from multiprocessing import Pool , cpu_count
from toolbox import tools, downloader, crawler , alphabet, transformer
def create_query():
# search for query files
files = tools.search_path(str(language_path) + 'sql_query')
... | deepspeech-cleaner.py | import os
import sqlite3
import argparse
import random
import numpy as np
import re
from multiprocessing import Pool , cpu_count
from toolbox import tools, downloader, crawler , alphabet, transformer
def create_query():
# search for query files
files = tools.search_path(str(language_path) + 'sql_query')
... | 0.127761 | 0.191592 |
from __future__ import annotations
import copy
import random
from functools import partial
from typing import Optional
import numpy as np
from scipy.stats import norm, exponnorm
from clovars.scientific import reflect_around_interval
class CellSignal:
"""Represents an abstract Feature that can fluctuate over ti... | clovars/scientific/cell_signal.py | from __future__ import annotations
import copy
import random
from functools import partial
from typing import Optional
import numpy as np
from scipy.stats import norm, exponnorm
from clovars.scientific import reflect_around_interval
class CellSignal:
"""Represents an abstract Feature that can fluctuate over ti... | 0.962276 | 0.441071 |
import logging
import subprocess
from telegram import ParseMode
from telegram.ext import Dispatcher, CallbackQueryHandler, CommandHandler
from utils.helper import alert_users
from utils.restricted import restricted
logger = logging.getLogger(__name__)
def init(dispatcher: Dispatcher):
"""Provide handlers initia... | telegram_gcloner/handlers/cancel.py | import logging
import subprocess
from telegram import ParseMode
from telegram.ext import Dispatcher, CallbackQueryHandler, CommandHandler
from utils.helper import alert_users
from utils.restricted import restricted
logger = logging.getLogger(__name__)
def init(dispatcher: Dispatcher):
"""Provide handlers initia... | 0.418697 | 0.06134 |
import unittest
from pyscf import gto
from openqemist.problem_decomposition.dmet._helpers.dmet_fragment import dmet_fragment_constructor
class TestFragments(unittest.TestCase):
""" Generate the orbital list """
def test_orbital_list_construction(self):
# Initialize Molecule object with PySCF and inp... | openqemist/tests/problem_decomposition/dmet/test_dmet_fragment.py | import unittest
from pyscf import gto
from openqemist.problem_decomposition.dmet._helpers.dmet_fragment import dmet_fragment_constructor
class TestFragments(unittest.TestCase):
""" Generate the orbital list """
def test_orbital_list_construction(self):
# Initialize Molecule object with PySCF and inp... | 0.685423 | 0.468365 |
import time,random
import mysql.connector as mysql
from os import system, getcwd
import smtplib
from glogin_login import theoauth as glogin
from glogin_register import theoauth as gregister
import subprocess
# Database Connection
db = mysql.connect(host = 'localhost', username = 'root', password = '<PASSWORD>', databa... | OAuth/login.py | import time,random
import mysql.connector as mysql
from os import system, getcwd
import smtplib
from glogin_login import theoauth as glogin
from glogin_register import theoauth as gregister
import subprocess
# Database Connection
db = mysql.connect(host = 'localhost', username = 'root', password = '<PASSWORD>', databa... | 0.095097 | 0.138113 |
from collections import OrderedDict
from collections import deque
import inspect
import numpy as np
from gym import spaces
from pickle import dumps,loads
from collections import namedtuple
from . import VecEnv
class SnapshotVecEnv(VecEnv):
"""
Creates a simple vectorized wrapper for multiple environments
... | stable_baselines/common/vec_env/snapshot_vec_env_old.py | from collections import OrderedDict
from collections import deque
import inspect
import numpy as np
from gym import spaces
from pickle import dumps,loads
from collections import namedtuple
from . import VecEnv
class SnapshotVecEnv(VecEnv):
"""
Creates a simple vectorized wrapper for multiple environments
... | 0.482185 | 0.317373 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Project'
db.create_table(u'django_project_project', (
(u'id', self.gf... | django_project/migrations/0001_initial.py | from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Project'
db.create_table(u'django_project_project', (
(u'id', self.gf... | 0.663015 | 0.073563 |
import ddt
import mock
from os_faults.ansible import executor
from os_faults.api import error
from os_faults.api import node_collection
from os_faults.drivers.cloud import fuel
from os_faults.tests.unit import fakes
from os_faults.tests.unit import test
@ddt.ddt
class FuelManagementTestCase(test.TestCase):
def... | os_faults/tests/unit/drivers/cloud/test_fuel_management.py |
import ddt
import mock
from os_faults.ansible import executor
from os_faults.api import error
from os_faults.api import node_collection
from os_faults.drivers.cloud import fuel
from os_faults.tests.unit import fakes
from os_faults.tests.unit import test
@ddt.ddt
class FuelManagementTestCase(test.TestCase):
def... | 0.515376 | 0.267971 |
import settings as sett
import numpy as np
import math
# ------------------------------------------------------------------------------------------------------------
#initialize global variables
sett.init()
# ST Kernel density estimation
#----------------------------------------------------------------------... | helperFunctions.py | import settings as sett
import numpy as np
import math
# ------------------------------------------------------------------------------------------------------------
#initialize global variables
sett.init()
# ST Kernel density estimation
#----------------------------------------------------------------------... | 0.287368 | 0.450239 |
from typing import List, Tuple
import numpy as np
import torch
from torch.nn.functional import softmax, cosine_similarity
from tqdm import trange
from .view import View
class BoneFight:
def __init__(self, a: View, b: View, lambda_v: float = 1, lambda_t: float = 1, lambda_f: float = 1, lambda_r: float = 0, device: st... | bone_fight/bone_fight.py | from typing import List, Tuple
import numpy as np
import torch
from torch.nn.functional import softmax, cosine_similarity
from tqdm import trange
from .view import View
class BoneFight:
def __init__(self, a: View, b: View, lambda_v: float = 1, lambda_t: float = 1, lambda_f: float = 1, lambda_r: float = 0, device: st... | 0.954255 | 0.661452 |
from nitro.resource.base.base_resource import base_resource
from nitro.resource.base.base_resource import base_response
from nitro.service.options import options
from nitro.exception.nitro_exception import nitro_exception
from nitro.util.nitro_util import nitro_util
class nssimpleacl_stats(base_resource) :
"""St... | nitro/resource/stat/ns/nssimpleacl_stats.py |
from nitro.resource.base.base_resource import base_resource
from nitro.resource.base.base_resource import base_response
from nitro.service.options import options
from nitro.exception.nitro_exception import nitro_exception
from nitro.util.nitro_util import nitro_util
class nssimpleacl_stats(base_resource) :
"""St... | 0.799677 | 0.185744 |
import logging
import asyncio
import voluptuous as vol
import datetime
from homeassistant.components.camera import Camera, PLATFORM_SCHEMA, SUPPORT_ON_OFF, SUPPORT_STREAM, ENTITY_IMAGE_URL
from homeassistant.const import CONF_HOST, CONF_NAME, CONF_USERNAME, CONF_PASSWORD, ATTR_ENTITY_ID, EVENT_HOMEASSISTANT_STOP
from ... | custom_components/reolink_dev/camera.py | import logging
import asyncio
import voluptuous as vol
import datetime
from homeassistant.components.camera import Camera, PLATFORM_SCHEMA, SUPPORT_ON_OFF, SUPPORT_STREAM, ENTITY_IMAGE_URL
from homeassistant.const import CONF_HOST, CONF_NAME, CONF_USERNAME, CONF_PASSWORD, ATTR_ENTITY_ID, EVENT_HOMEASSISTANT_STOP
from ... | 0.455925 | 0.058132 |
import string
from functools import partial as p
import pytest
from tests.helpers.agent import Agent
from tests.helpers.assertions import has_datapoint_with_dim, has_datapoint_with_metric_name, has_log_message
from tests.helpers.util import wait_for
pytestmark = [pytest.mark.windows_only, pytest.mark.windows, pytest... | tests/monitors/telegraf/win_perf_counters_test.py | import string
from functools import partial as p
import pytest
from tests.helpers.agent import Agent
from tests.helpers.assertions import has_datapoint_with_dim, has_datapoint_with_metric_name, has_log_message
from tests.helpers.util import wait_for
pytestmark = [pytest.mark.windows_only, pytest.mark.windows, pytest... | 0.498047 | 0.296056 |
import cairo
import pytest
from gaphas.geometry import Rectangle
from gaphor.diagram.shapes import Box, DrawContext, IconBox, Text
@pytest.fixture
def fixed_text_size(monkeypatch):
size = (60, 15)
def text_size(*args):
return size
monkeypatch.setattr("gaphor.diagram.shapes.text_size", text_size... | gaphor/diagram/tests/test_shapes.py | import cairo
import pytest
from gaphas.geometry import Rectangle
from gaphor.diagram.shapes import Box, DrawContext, IconBox, Text
@pytest.fixture
def fixed_text_size(monkeypatch):
size = (60, 15)
def text_size(*args):
return size
monkeypatch.setattr("gaphor.diagram.shapes.text_size", text_size... | 0.770292 | 0.477311 |
"""IDE update stuff"""
from distutils.version import LooseVersion
from typing import Optional, List
import click
from .config_generator import save_config
from .global_config import SHORT_NETWORK_TIMEOUT, LONG_NETWORK_TIMEOUT
from .products import Product, get_product_releases, IDEKind, load_compatible_apps, \
CO... | projector_installer/ide_update.py |
"""IDE update stuff"""
from distutils.version import LooseVersion
from typing import Optional, List
import click
from .config_generator import save_config
from .global_config import SHORT_NETWORK_TIMEOUT, LONG_NETWORK_TIMEOUT
from .products import Product, get_product_releases, IDEKind, load_compatible_apps, \
CO... | 0.689619 | 0.125977 |
import re
from datetime import datetime
date_regex = re.compile('.{4}-.{2}-.{2}')
def parse_calendar(rows):
parsed_rows = []
for row in rows:
CalendarCode = row[0]
SchoolId = row[1]
SchoolYear = row[2]
CalendarTypeDescriptorId = row[3]
Discriminator = row[4]
Cr... | ODS - Staging - IC/parseRows.py | import re
from datetime import datetime
date_regex = re.compile('.{4}-.{2}-.{2}')
def parse_calendar(rows):
parsed_rows = []
for row in rows:
CalendarCode = row[0]
SchoolId = row[1]
SchoolYear = row[2]
CalendarTypeDescriptorId = row[3]
Discriminator = row[4]
Cr... | 0.378115 | 0.607401 |
from functools import partial
import numpy as np
from scipy import optimize, interpolate
import hypney
export, __all__ = hypney.exporter()
@export
class EmptyIntervalError(Exception):
"""Raised when empty interval would be returned
(possible, but also possible anchors badly chosen)
"""
pass
@expo... | hypney/estimators/confidence_interval.py | from functools import partial
import numpy as np
from scipy import optimize, interpolate
import hypney
export, __all__ = hypney.exporter()
@export
class EmptyIntervalError(Exception):
"""Raised when empty interval would be returned
(possible, but also possible anchors badly chosen)
"""
pass
@expo... | 0.837919 | 0.285496 |
import csv
import math
'''
medians = [0] * len(train_set_x[0])
for i in train_set_x:
for j in range(len(i)):
if i[j] != "q":
medians[j] += i[j]
for i in range(len(medians)):
medians[i] /= len(train_set_x)
for i in range(len(train_set_x)):
for j in range(len(train_set_x[i])):
if t... | KNearestNeighbours.py | import csv
import math
'''
medians = [0] * len(train_set_x[0])
for i in train_set_x:
for j in range(len(i)):
if i[j] != "q":
medians[j] += i[j]
for i in range(len(medians)):
medians[i] /= len(train_set_x)
for i in range(len(train_set_x)):
for j in range(len(train_set_x[i])):
if t... | 0.117534 | 0.336794 |
import renderdoc as rd
import rdtest
class VK_Dedicated_Allocation(rdtest.TestCase):
demos_test_name = 'VK_Dedicated_Allocation'
def check_capture(self):
draw = self.find_draw("Draw")
self.controller.SetFrameEvent(draw.eventId, True)
postvs_data = self.get_postvs(draw, rd.MeshDataSt... | util/test/tests/Vulkan/VK_Dedicated_Allocation.py | import renderdoc as rd
import rdtest
class VK_Dedicated_Allocation(rdtest.TestCase):
demos_test_name = 'VK_Dedicated_Allocation'
def check_capture(self):
draw = self.find_draw("Draw")
self.controller.SetFrameEvent(draw.eventId, True)
postvs_data = self.get_postvs(draw, rd.MeshDataSt... | 0.325413 | 0.476214 |
import logging
from ....constants import Constant
from ....entity.AzCli import AzCli
from ....entity.CustomerResource import CustomerResource
from ....entity._dnsData import DNSData
from ....executor.azcli._AzCliExecutor import AzCliExecutor
class DNSHelper:
instance = None
_dns_zone_url = Constant.NSX_MGMT... | src/appliance-onboarding-script/appliance_setup/avs/avsarconboarder/processor/nsx/helper/_DNSHelper.py | import logging
from ....constants import Constant
from ....entity.AzCli import AzCli
from ....entity.CustomerResource import CustomerResource
from ....entity._dnsData import DNSData
from ....executor.azcli._AzCliExecutor import AzCliExecutor
class DNSHelper:
instance = None
_dns_zone_url = Constant.NSX_MGMT... | 0.338077 | 0.090776 |
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from anyway.config import SQLALCHEMY_DATABASE_URI
from anyway.models import Users, users_to_roles, Roles
"""This is a separated script that create the User system tables and all the default data in them.
To use... | anyway/scripts/build_redacted_tables_for_dev.py | from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from anyway.config import SQLALCHEMY_DATABASE_URI
from anyway.models import Users, users_to_roles, Roles
"""This is a separated script that create the User system tables and all the default data in them.
To use... | 0.373304 | 0.175026 |
import datetime
import random
from web.common import redis_op
from web import models
import logging
logger = logging.getLogger('django')
# 10进制转换36进制
def hex36(num):
key = '<KEY>'
a = []
while num != 0:
n = num % 6
a.append(key[n])
num = num // 36
a.reverse()
out = ''.join(a)
return out
# 获取唯一标识
def g... | web/common/utils.py | import datetime
import random
from web.common import redis_op
from web import models
import logging
logger = logging.getLogger('django')
# 10进制转换36进制
def hex36(num):
key = '<KEY>'
a = []
while num != 0:
n = num % 6
a.append(key[n])
num = num // 36
a.reverse()
out = ''.join(a)
return out
# 获取唯一标识
def g... | 0.080916 | 0.178275 |
from __future__ import print_function
# Unlike the rest of the PyTorch this file must be python2 compliant.
# This script outputs relevant system environment info
# Run it with `python collect_env.py`.
import locale
import os
import re
import subprocess
import sys
from collections import namedtuple
try:
import co... | build_tools/collect_env.py | from __future__ import print_function
# Unlike the rest of the PyTorch this file must be python2 compliant.
# This script outputs relevant system environment info
# Run it with `python collect_env.py`.
import locale
import os
import re
import subprocess
import sys
from collections import namedtuple
try:
import co... | 0.555797 | 0.132094 |
import json
import os
import pytest
import requests_mock
import scripts.check_status
def setup_function(function):
pass
def teardown_function(function):
state_file_path = os.path.join("scripts", "check_status_state.json")
if os.path.exists(state_file_path):
os.remove(state_file_path)
@pytest.... | tests/test_check_status.py | import json
import os
import pytest
import requests_mock
import scripts.check_status
def setup_function(function):
pass
def teardown_function(function):
state_file_path = os.path.join("scripts", "check_status_state.json")
if os.path.exists(state_file_path):
os.remove(state_file_path)
@pytest.... | 0.384565 | 0.397588 |
import os
import re
import itertools
from textwrap import wrap
import logging
import hookutil
class Hook(object):
def __init__(self, repo_dir, settings, params):
self.repo_dir = repo_dir
self.settings = settings
self.params = params
def compose_mail(self, branch, old_sha, new_sha):
... | hooks.d/notify.py | import os
import re
import itertools
from textwrap import wrap
import logging
import hookutil
class Hook(object):
def __init__(self, repo_dir, settings, params):
self.repo_dir = repo_dir
self.settings = settings
self.params = params
def compose_mail(self, branch, old_sha, new_sha):
... | 0.336876 | 0.06989 |
import numpy as np
import argparse
import matplotlib.pyplot as plt
import os
from matplotlib.widgets import Button
from common import *
def load_arch_signals(arch_type="notrigger"):
result = {}
for arch_path in get_arch_signal_paths(arch_type):
if arch_type in arch_path: # Use notrigger arch signals ... | label_tool.py | import numpy as np
import argparse
import matplotlib.pyplot as plt
import os
from matplotlib.widgets import Button
from common import *
def load_arch_signals(arch_type="notrigger"):
result = {}
for arch_path in get_arch_signal_paths(arch_type):
if arch_type in arch_path: # Use notrigger arch signals ... | 0.486332 | 0.261215 |
import sys
import re
from ast import literal_eval as make_tuple
import os, os.path
import zipfile
DC = None
class Vector2:
def __init__(self, x, y):
self.x = x
self.y = y
def MoveListElement(list , element, index):
# type: (list, object, int)
list.remove(element)
list.insert(index... | szakdoliV3/System/SupportFunctions.py |
import sys
import re
from ast import literal_eval as make_tuple
import os, os.path
import zipfile
DC = None
class Vector2:
def __init__(self, x, y):
self.x = x
self.y = y
def MoveListElement(list , element, index):
# type: (list, object, int)
list.remove(element)
list.insert(index... | 0.137967 | 0.132571 |
import arcpy
from arcpy import env
import os
import glob
import shutil
inputfolder = arcpy.GetParameterAsText(0)+"\\"
inputfiles = glob.glob(inputfolder+"\\*.txt")
WGScoord = "Coordinate Systems\\Geographic Coordinate Systems\\World\\WGS 1984.prj"
TXcoord = "Coordinate Systems\\Projected Coordinate Systems\\State Sys... | Early/countyTXTtoSHP_original_notable.py | import arcpy
from arcpy import env
import os
import glob
import shutil
inputfolder = arcpy.GetParameterAsText(0)+"\\"
inputfiles = glob.glob(inputfolder+"\\*.txt")
WGScoord = "Coordinate Systems\\Geographic Coordinate Systems\\World\\WGS 1984.prj"
TXcoord = "Coordinate Systems\\Projected Coordinate Systems\\State Sys... | 0.091514 | 0.099426 |
from campa.geography.place import CampaPlace
from campa.geography.logger import SelfLogger
from campa.geography.norm import norm
from colorama import Fore, Style
from copy import deepcopy
import inspect
import json
from pathlib import Path
from pprint import pformat
import pycountry
import re
import sys
from wikidata_s... | geography/campa/geography/parser.py | from campa.geography.place import CampaPlace
from campa.geography.logger import SelfLogger
from campa.geography.norm import norm
from colorama import Fore, Style
from copy import deepcopy
import inspect
import json
from pathlib import Path
from pprint import pformat
import pycountry
import re
import sys
from wikidata_s... | 0.199035 | 0.122523 |