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 re
import numpy as np
RECIPE_SIZE = 100
MAXCALORIES = 500
ingreds = {}
scores1 = []
scores2 = []
with open('in.txt', 'r') as f:
for line in f:
line = line.strip()
if(not line): continue
if __debug__: print(line)
ingreds[line.split(':')[0]] = {k: int(v) for (k, v) in re.findall(r'([a-z]+) (-?\d+)', li... | level_15/level_15.py | import re
import numpy as np
RECIPE_SIZE = 100
MAXCALORIES = 500
ingreds = {}
scores1 = []
scores2 = []
with open('in.txt', 'r') as f:
for line in f:
line = line.strip()
if(not line): continue
if __debug__: print(line)
ingreds[line.split(':')[0]] = {k: int(v) for (k, v) in re.findall(r'([a-z]+) (-?\d+)', li... | 0.371821 | 0.382747 |
import os
import numpy as np
import pickle as pk
import json
from sklearn.feature_extraction.text import TfidfVectorizer,TfidfTransformer
class DataManager(object):
'''
read data and return json object
'''
def load_data(self, train_file, test_file):
train_data = self.__read_data(train_file)
... | codes/data_factory.py |
import os
import numpy as np
import pickle as pk
import json
from sklearn.feature_extraction.text import TfidfVectorizer,TfidfTransformer
class DataManager(object):
'''
read data and return json object
'''
def load_data(self, train_file, test_file):
train_data = self.__read_data(train_file)
... | 0.289372 | 0.45302 |
from sailboat import Plugin, get_plugin, PluginNotFound
import enlighten
import os
import glob
import shutil
import re
import requests
import traceback
import blessed
import sys
import time
import colorama
colorama.init() # For Windows
from semver import VersionInfo
from semver import compare
class Build(Plugin):
... | sailboat/build.py | from sailboat import Plugin, get_plugin, PluginNotFound
import enlighten
import os
import glob
import shutil
import re
import requests
import traceback
import blessed
import sys
import time
import colorama
colorama.init() # For Windows
from semver import VersionInfo
from semver import compare
class Build(Plugin):
... | 0.23066 | 0.087097 |
import re
import urllib
from urllib.parse import urljoin, urlparse
from django.core.exceptions import PermissionDenied
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.http import HttpResponseBadRequest
from django.views.generic import View
import bs4
import requests
def paginate... | bootcamp/helpers.py | import re
import urllib
from urllib.parse import urljoin, urlparse
from django.core.exceptions import PermissionDenied
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.http import HttpResponseBadRequest
from django.views.generic import View
import bs4
import requests
def paginate... | 0.612773 | 0.175503 |
from .base import Lookup
from .type import LookupType
from ..result import Result
from ..util import *
from ..config import Config
import requests
import getpass
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import (
Any,
Callable,
Collection,
Dict,
Generator,
Ge... | decronym/lookup/wikipedia.py | from .base import Lookup
from .type import LookupType
from ..result import Result
from ..util import *
from ..config import Config
import requests
import getpass
from bs4 import BeautifulSoup
from collections import defaultdict
from typing import (
Any,
Callable,
Collection,
Dict,
Generator,
Ge... | 0.483892 | 0.106598 |
from typing import Dict
import requests
from collector.collector import Collector
from collector.type import Measurement, URL
class SonarQubeViolations(Collector):
"""SonarQube violations collector."""
def landing_url(self, **parameters) -> URL:
return URL(f"{parameters.get('url')}/project/issues?... | components/collector/collector/collectors/sonarqube.py |
from typing import Dict
import requests
from collector.collector import Collector
from collector.type import Measurement, URL
class SonarQubeViolations(Collector):
"""SonarQube violations collector."""
def landing_url(self, **parameters) -> URL:
return URL(f"{parameters.get('url')}/project/issues?... | 0.906035 | 0.21595 |
from pathlib import Path
import os
from dotenv import load_dotenv
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
load_dotenv()
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.1/howto/deployment... | autogarden/settings.py | from pathlib import Path
import os
from dotenv import load_dotenv
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
load_dotenv()
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.1/howto/deployment... | 0.436382 | 0.062646 |
import pytest
try:
import mock
except ImportError:
from unittest import mock
from datetime import datetime, timedelta
import tempfile
from chainer import training
from watchdog import extension as watchdog_extension
from watchdog.misc import WatchItem
def get_trainer():
trainer = lambda: None
traine... | tests/test_extension.py | import pytest
try:
import mock
except ImportError:
from unittest import mock
from datetime import datetime, timedelta
import tempfile
from chainer import training
from watchdog import extension as watchdog_extension
from watchdog.misc import WatchItem
def get_trainer():
trainer = lambda: None
traine... | 0.606498 | 0.324182 |
import os
import argparse
import struct
import math
from osgeo import gdal
import numpy as np
from scipy.interpolate import interp1d, make_interp_spline
# doc du format ACV
# https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/
def read_args():
"""Gestion des arguments"""
parser = argparse.Argument... | apply_acv.py | import os
import argparse
import struct
import math
from osgeo import gdal
import numpy as np
from scipy.interpolate import interp1d, make_interp_spline
# doc du format ACV
# https://www.adobe.com/devnet-apps/photoshop/fileformatashtml/
def read_args():
"""Gestion des arguments"""
parser = argparse.Argument... | 0.427994 | 0.185283 |
import sys
import traceback
from importlib import reload
import pathlib
from tocode.__inner_files__._built_in._built_in_file_manager import __reset_files
from tocode._literal_eval_par._str_parser import __Str
_current_abso_path = pathlib.Path(__file__).parent.parent.absolute()
def literal_eval(str_list: str, no_strin... | tocode/_literal_eval_par/_literal_eval.py | import sys
import traceback
from importlib import reload
import pathlib
from tocode.__inner_files__._built_in._built_in_file_manager import __reset_files
from tocode._literal_eval_par._str_parser import __Str
_current_abso_path = pathlib.Path(__file__).parent.parent.absolute()
def literal_eval(str_list: str, no_strin... | 0.265214 | 0.104752 |
from copy import deepcopy
from rpg_logs import battle_log, general_log
class Damage:
name = 'unknown'
def __init__(self, value, permanent=False):
self.value = value # immediate damage
self.is_permanent = permanent
class TurnBasedDamage(Damage):
def __init__(self, value, turn_value=0, tur... | miscrpg/damageable.py | from copy import deepcopy
from rpg_logs import battle_log, general_log
class Damage:
name = 'unknown'
def __init__(self, value, permanent=False):
self.value = value # immediate damage
self.is_permanent = permanent
class TurnBasedDamage(Damage):
def __init__(self, value, turn_value=0, tur... | 0.602062 | 0.290754 |
import os
import logging
import time
import sophiabus230
import datetime
import fetch_pr
from dateutil.tz import gettz
from slackclient import SlackClient
from wit import Wit
class BillyBob:
@classmethod
def wit_send(cls, request, response):
print 'Getting from user... {0}'.format(request)
pr... | billybob/__init__.py | import os
import logging
import time
import sophiabus230
import datetime
import fetch_pr
from dateutil.tz import gettz
from slackclient import SlackClient
from wit import Wit
class BillyBob:
@classmethod
def wit_send(cls, request, response):
print 'Getting from user... {0}'.format(request)
pr... | 0.172869 | 0.089415 |
from PyQt4 import QtGui, QtCore
from core.domainobjects import MovieModel
import core.Constants as Constants
import ui.DefaultComponents
SAVE_BUTTON_LABEL = " Save "
UPDATE_BUTTON_LABEL = " Update "
class AddMovieRequest(QtGui.QFrame):
def __init__(self, mainWindow):
super(AddMovieRequest, self)... | ui/home/AddMovieRequest.py | from PyQt4 import QtGui, QtCore
from core.domainobjects import MovieModel
import core.Constants as Constants
import ui.DefaultComponents
SAVE_BUTTON_LABEL = " Save "
UPDATE_BUTTON_LABEL = " Update "
class AddMovieRequest(QtGui.QFrame):
def __init__(self, mainWindow):
super(AddMovieRequest, self)... | 0.381911 | 0.087369 |
from _main_.utils.route_handler import RouteHandler
from _main_.utils.common import get_request_contents, rename_field
from api.services.page_settings__actions import ActionsPageSettingsService
from _main_.utils.massenergize_response import MassenergizeResponse
from types import FunctionType as function
from _main_.ut... | src/api/handlers/page_settings__actions.py |
from _main_.utils.route_handler import RouteHandler
from _main_.utils.common import get_request_contents, rename_field
from api.services.page_settings__actions import ActionsPageSettingsService
from _main_.utils.massenergize_response import MassenergizeResponse
from types import FunctionType as function
from _main_.ut... | 0.135818 | 0.0713 |
import sys
import argparse
import Tools
import os
ap = argparse.ArgumentParser(description="Find L1s near alignments.")
ap.add_argument("l1", help="L1 alignments in m1 format.")
ap.add_argument("sam", help="Input sam files.", nargs="+")
ap.add_argument("--window", help="Print this window around sides with line.",type... | FindL1NearAlignments.py |
import sys
import argparse
import Tools
import os
ap = argparse.ArgumentParser(description="Find L1s near alignments.")
ap.add_argument("l1", help="L1 alignments in m1 format.")
ap.add_argument("sam", help="Input sam files.", nargs="+")
ap.add_argument("--window", help="Print this window around sides with line.",type... | 0.108313 | 0.147832 |
from datetime import datetime
from forms import *
import forms
from flask import render_template, url_for, redirect, flash, session, request, current_app
from flask.ext.login import login_required, current_user
from . import main
from ..models import User, Topic, City, Conference, Comment, Permission
from .. import ... | app/main/views.py |
from datetime import datetime
from forms import *
import forms
from flask import render_template, url_for, redirect, flash, session, request, current_app
from flask.ext.login import login_required, current_user
from . import main
from ..models import User, Topic, City, Conference, Comment, Permission
from .. import ... | 0.376279 | 0.07221 |
import requests, json
from enum import Enum
from flask import current_app
from app.config import Config
from app.api.constants import CORE_PURPLE_LOGO_BASE64_ENCODED
class EmailBodyType(Enum):
HTML = 'html'
TEXT = 'text'
class EmailEncoding(Enum):
BASE64 = 'base64'
BINARY = 'binary'
HEX = 'hex... | services/core-api/app/api/services/email_service.py | import requests, json
from enum import Enum
from flask import current_app
from app.config import Config
from app.api.constants import CORE_PURPLE_LOGO_BASE64_ENCODED
class EmailBodyType(Enum):
HTML = 'html'
TEXT = 'text'
class EmailEncoding(Enum):
BASE64 = 'base64'
BINARY = 'binary'
HEX = 'hex... | 0.525369 | 0.069352 |
import base64
import json
import codecs
from struct import *
from .. import identifiers
from .. import msg_type, property_enumeration, command_with_properties
import hmkit.autoapi
from hmkit.autoapi.identifiers import Identifiers
import hmkit.autoapi.msg_type
from ..properties import hmproperty
from ..properties.val... | hmkit/autoapi/commands/setreduction_chargingcurrent_times.py | import base64
import json
import codecs
from struct import *
from .. import identifiers
from .. import msg_type, property_enumeration, command_with_properties
import hmkit.autoapi
from hmkit.autoapi.identifiers import Identifiers
import hmkit.autoapi.msg_type
from ..properties import hmproperty
from ..properties.val... | 0.394201 | 0.104981 |
from __future__ import annotations
import typing as t
import aiohttp
from .http import HTTPClient
from .paginator import PaginatedQuery
__all__ = ("Client",)
class Client:
"""
The client that is used to communicate with the AniList API.
Attributes:
token (str, optional): The token used to do ... | nino/client.py | from __future__ import annotations
import typing as t
import aiohttp
from .http import HTTPClient
from .paginator import PaginatedQuery
__all__ = ("Client",)
class Client:
"""
The client that is used to communicate with the AniList API.
Attributes:
token (str, optional): The token used to do ... | 0.912733 | 0.321327 |
import tensorflow as tf
from typing import Tuple
def build_base_model(model_name="mobile_net_v2",
weights="imagenet",
input_shape=(224,224,3),
frozen_layers: Tuple[int]=None,
freeze_batchnorm=False):
if model_name=="mobile_net... | genetic_algorithm/models/common.py | import tensorflow as tf
from typing import Tuple
def build_base_model(model_name="mobile_net_v2",
weights="imagenet",
input_shape=(224,224,3),
frozen_layers: Tuple[int]=None,
freeze_batchnorm=False):
if model_name=="mobile_net... | 0.422624 | 0.343287 |
import boto3
from botocore.exceptions import ClientError
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
import os
class SesMail(object):
def __init__(self):
pass
def mail(self, sender, recipient, subject, body_te... | python/infraxys_aws/ses/ses_mail.py | import boto3
from botocore.exceptions import ClientError
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
import os
class SesMail(object):
def __init__(self):
pass
def mail(self, sender, recipient, subject, body_te... | 0.230227 | 0.066206 |
import models.baselines.DNN as DNN
import _settings
import numpy as np
import torch
import pandas as pd
import os
import utils.utils as utils
import datetime
import shutil
import tqdm
import ipdb
import data.dataloader as dld
TRAIN, VALID, TEST = 'train', 'val', 'test'
def pretrain_general(X, Y, seed=_settings.RANDOM... | data/preprocess_small_datasets.py | import models.baselines.DNN as DNN
import _settings
import numpy as np
import torch
import pandas as pd
import os
import utils.utils as utils
import datetime
import shutil
import tqdm
import ipdb
import data.dataloader as dld
TRAIN, VALID, TEST = 'train', 'val', 'test'
def pretrain_general(X, Y, seed=_settings.RANDOM... | 0.320396 | 0.249939 |
import logging
import logging.config
import os
from src import const
class Log:
def debug2(self, msg, *args, **kwargs):
"""Log with severity 'DEBUG2'."""
self.log.log(const.LogLevel.DEBUG2, msg, *args, **kwargs)
def debug3(self, msg, *args, **kwargs):
"""Log with severity 'DEBUG3'.""... | src/log.py | import logging
import logging.config
import os
from src import const
class Log:
def debug2(self, msg, *args, **kwargs):
"""Log with severity 'DEBUG2'."""
self.log.log(const.LogLevel.DEBUG2, msg, *args, **kwargs)
def debug3(self, msg, *args, **kwargs):
"""Log with severity 'DEBUG3'.""... | 0.384103 | 0.05962 |
import algorithms.graphical.algo_one as a1
import algorithms.graphical.algo_two as a2
import algorithms.graphical.algo_three as a3
import algorithms.graphical.algo_four as a4
import algorithms.graphical.algo_five as a5
import algorithms.graphical.algo_six as a6
import paho.mqtt.client as mqtt
import pickle
import subpr... | 4algo/1gui_agent.py | import algorithms.graphical.algo_one as a1
import algorithms.graphical.algo_two as a2
import algorithms.graphical.algo_three as a3
import algorithms.graphical.algo_four as a4
import algorithms.graphical.algo_five as a5
import algorithms.graphical.algo_six as a6
import paho.mqtt.client as mqtt
import pickle
import subpr... | 0.552902 | 0.461441 |
import datetime
import os
import sys
from lib.configuration import Configuration
class Globals:
# Global class hold a global variables for reporting and environment managmaent
class Report:
# Reporter class is defining a SET OF VARIABLES that eill be used to handle custom html report
CycleT... | lib/globals.py |
import datetime
import os
import sys
from lib.configuration import Configuration
class Globals:
# Global class hold a global variables for reporting and environment managmaent
class Report:
# Reporter class is defining a SET OF VARIABLES that eill be used to handle custom html report
CycleT... | 0.199152 | 0.112113 |
import numpy as np
from torch.utils.data import Dataset
class RandomDataset(Dataset):
"""
A random dataset that acts like it is WaymoDataset
"""
# Transform to convert the getitem to tensor
def __init__(self, x_min, x_max, y_min, y_max, z_min, z_max,
drop_invalid_point_function,
... | data/RandomDataset.py | import numpy as np
from torch.utils.data import Dataset
class RandomDataset(Dataset):
"""
A random dataset that acts like it is WaymoDataset
"""
# Transform to convert the getitem to tensor
def __init__(self, x_min, x_max, y_min, y_max, z_min, z_max,
drop_invalid_point_function,
... | 0.873552 | 0.40645 |
from bs4 import BeautifulSoup
from urlextract import URLExtract
from utils import FactionUpgrades
import re
import datetime
import requests
badSubstrings = ("", "Cost", 'Effect', "Formula", "Mercenary Template", "Requirement", "Gem Grinder and Dragon's "
"Breath Formula", 'Formula: ', 'Requirements', ... | utils/NaWSearch.py | from bs4 import BeautifulSoup
from urlextract import URLExtract
from utils import FactionUpgrades
import re
import datetime
import requests
badSubstrings = ("", "Cost", 'Effect', "Formula", "Mercenary Template", "Requirement", "Gem Grinder and Dragon's "
"Breath Formula", 'Formula: ', 'Requirements', ... | 0.483161 | 0.260065 |
from testutils import *
from pypdevs.util import *
class TestHelpers(unittest.TestCase):
# Tests the externalInput function, which takes messages of the form:
# [[time, age], content, anti-message, UUID, color]
def setUp(self):
setLogger('None', ('localhost', 514), logging.WARN)
def test_he... | test/testHelpers.py |
from testutils import *
from pypdevs.util import *
class TestHelpers(unittest.TestCase):
# Tests the externalInput function, which takes messages of the form:
# [[time, age], content, anti-message, UUID, color]
def setUp(self):
setLogger('None', ('localhost', 514), logging.WARN)
def test_he... | 0.670393 | 0.671296 |
import math
import random
from Errores import errorReportar
from tabla_Simbolos import simbolo
from tabla_Simbolos import simboloColumna
from .instruccionAbstracta import InstruccionAbstracta
from .trigonometricas import *
class funcion(InstruccionAbstracta):
def __init__(self):
pass
def funcionTime... | parser/team07/Proyecto/clasesAbstractas/funcion.py | import math
import random
from Errores import errorReportar
from tabla_Simbolos import simbolo
from tabla_Simbolos import simboloColumna
from .instruccionAbstracta import InstruccionAbstracta
from .trigonometricas import *
class funcion(InstruccionAbstracta):
def __init__(self):
pass
def funcionTime... | 0.320183 | 0.220489 |
import asyncio
import logging
import time
from django.conf import settings
from django.core.management import BaseCommand
from ep.models import Node
from ep_rayleigh_importer.controllers.rayleigh_client import RayleighClient
__author__ = 'mitchell'
logger = logging.getLogger(__name__)
class Command(BaseCommand):
... | ep_rayleigh_importer/management/commands/import_rayleigh.py | import asyncio
import logging
import time
from django.conf import settings
from django.core.management import BaseCommand
from ep.models import Node
from ep_rayleigh_importer.controllers.rayleigh_client import RayleighClient
__author__ = 'mitchell'
logger = logging.getLogger(__name__)
class Command(BaseCommand):
... | 0.428233 | 0.061706 |
from collections import OrderedDict
from prefs_n_perms.client import db
from prefs_n_perms.decorators import protect_writable
from prefs_n_perms.exceptions import ExtraInstancesException, MissingInstancesException, GlobalVariableException
from prefs_n_perms.settings import preference_settings
class PrefsNPermsBase(ob... | prefs_n_perms/base.py | from collections import OrderedDict
from prefs_n_perms.client import db
from prefs_n_perms.decorators import protect_writable
from prefs_n_perms.exceptions import ExtraInstancesException, MissingInstancesException, GlobalVariableException
from prefs_n_perms.settings import preference_settings
class PrefsNPermsBase(ob... | 0.740831 | 0.106365 |
import ijson
from tqdm import tqdm
from django.core.management.base import BaseCommand, CommandError
from django.db.utils import IntegrityError
from restaurants.models import Segment, Restaurant
class Command(BaseCommand):
help = "Load segment and restaurant data from restaurant and segment inputs"
def add... | restaurants/management/commands/loadsql.py | import ijson
from tqdm import tqdm
from django.core.management.base import BaseCommand, CommandError
from django.db.utils import IntegrityError
from restaurants.models import Segment, Restaurant
class Command(BaseCommand):
help = "Load segment and restaurant data from restaurant and segment inputs"
def add... | 0.268174 | 0.135775 |
import pytest
import okama as ok
from pathlib import Path
data_folder = Path(__file__).parent / 'data'
@pytest.fixture(scope='class')
def _init_asset(request):
request.cls.spy = ok.Asset(symbol='SPY.US')
request.cls.otkr = ok.Asset(symbol='0165-70287767.PIF')
@pytest.fixture(scope='class')
def _init_asset_... | tests/conftest.py | import pytest
import okama as ok
from pathlib import Path
data_folder = Path(__file__).parent / 'data'
@pytest.fixture(scope='class')
def _init_asset(request):
request.cls.spy = ok.Asset(symbol='SPY.US')
request.cls.otkr = ok.Asset(symbol='0165-70287767.PIF')
@pytest.fixture(scope='class')
def _init_asset_... | 0.474144 | 0.290628 |
import homeassistant.helpers.config_validation as cv
from homeassistant.const import (
ATTR_ENTITY_ID,
ATTR_LOCATION
)
import voluptuous as vol
from reverse_geocoder import ReverseGeocoder
DOMAIN = 'reverse_geocode'
VALID_PROVIDERS = [
]
ATTR_PERSON = 'person'
ATTR_PROVIDER = 'provider'
CONF_PROVIDER = 'p... | __init__.py | import homeassistant.helpers.config_validation as cv
from homeassistant.const import (
ATTR_ENTITY_ID,
ATTR_LOCATION
)
import voluptuous as vol
from reverse_geocoder import ReverseGeocoder
DOMAIN = 'reverse_geocode'
VALID_PROVIDERS = [
]
ATTR_PERSON = 'person'
ATTR_PROVIDER = 'provider'
CONF_PROVIDER = 'p... | 0.516108 | 0.163947 |
import collections
import glob
import os
import os.path as osp
import numpy as np
import torch
from PIL import Image
from PIL import ImageOps
from torch.utils import data
from utils.dataset_util import KITTI
import random
import cv2
from torch.utils.data import Dataset, DataLoader
class ConcatDataset(torch.utils.data... | data/datasets.py | import collections
import glob
import os
import os.path as osp
import numpy as np
import torch
from PIL import Image
from PIL import ImageOps
from torch.utils import data
from utils.dataset_util import KITTI
import random
import cv2
from torch.utils.data import Dataset, DataLoader
class ConcatDataset(torch.utils.data... | 0.455683 | 0.511168 |
import os
import datetime
from nose.tools import assert_equal
import dataconverters.commas as csvconvert
class TestParse:
def setUp(self):
here = os.path.dirname(os.path.abspath(__file__))
testdata_path = os.path.dirname(here)
self.testdata_path = os.path.join(testdata_path, 'testdata', '... | tests/test_commas.py | import os
import datetime
from nose.tools import assert_equal
import dataconverters.commas as csvconvert
class TestParse:
def setUp(self):
here = os.path.dirname(os.path.abspath(__file__))
testdata_path = os.path.dirname(here)
self.testdata_path = os.path.join(testdata_path, 'testdata', '... | 0.52829 | 0.508605 |
import os
import sys
import uuid
import json
import random
import time
import requests
from spylunking.log.setup_logging import build_colorized_logger
useralias = "user1"
if len(sys.argv) > 1:
useralias = str(sys.argv[1]).lower()
name = '{}-sim'.format(useralias)
log = build_colorized_logger(
name=name)
d... | tests/run-user-sim.py |
import os
import sys
import uuid
import json
import random
import time
import requests
from spylunking.log.setup_logging import build_colorized_logger
useralias = "user1"
if len(sys.argv) > 1:
useralias = str(sys.argv[1]).lower()
name = '{}-sim'.format(useralias)
log = build_colorized_logger(
name=name)
d... | 0.209834 | 0.091544 |
import os
import pygame as pg
import utils
def pygameInit():
# centering screen
os.environ['SDL_VIDEO_CENTERED'] = '1'
# intialising pygame stuff
pg.init()
class Window():
"""
Window class helps create a window
"""
def __init__(self, name, width, height, icon = None):
# init... | window.py | import os
import pygame as pg
import utils
def pygameInit():
# centering screen
os.environ['SDL_VIDEO_CENTERED'] = '1'
# intialising pygame stuff
pg.init()
class Window():
"""
Window class helps create a window
"""
def __init__(self, name, width, height, icon = None):
# init... | 0.408867 | 0.08438 |
import numpy as np
import pandas as pd
import bioframe
from bioframe import binnify, frac_gene_coverage, frac_gc
from bioframe import load_fasta
from mirnylib.genome import Genome
def gene_content(genome, binsize, gc=True):
chrom_sizes = bioframe.fetch_chromsizes(genome)
chrom_table = binnify(chrom_size... | sameer/scripts/genetics/DNA_info.py | import numpy as np
import pandas as pd
import bioframe
from bioframe import binnify, frac_gene_coverage, frac_gc
from bioframe import load_fasta
from mirnylib.genome import Genome
def gene_content(genome, binsize, gc=True):
chrom_sizes = bioframe.fetch_chromsizes(genome)
chrom_table = binnify(chrom_size... | 0.273769 | 0.189334 |
import os
from pathlib import Path
from setuptools import find_packages, setup, Extension
__version__ = '2.1.0'
README = (Path(__file__).parent / "README.md").read_text()
requirements_txt = Path(__file__).parent / "requirements.txt"
with open(requirements_txt) as req_file:
requirements = req_file.readlines()
... | setup.py |
import os
from pathlib import Path
from setuptools import find_packages, setup, Extension
__version__ = '2.1.0'
README = (Path(__file__).parent / "README.md").read_text()
requirements_txt = Path(__file__).parent / "requirements.txt"
with open(requirements_txt) as req_file:
requirements = req_file.readlines()
... | 0.428233 | 0.111 |
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.http import Http404
from django.shortcuts import render, redirect, get_object_or_404
from django.template import RequestContext
from django.template.context_processors import request
from django.urls import re... | fizzsite/blog/views.py | from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from django.http import Http404
from django.shortcuts import render, redirect, get_object_or_404
from django.template import RequestContext
from django.template.context_processors import request
from django.urls import re... | 0.418935 | 0.0666 |
import pandas as pd
import numpy as np
import re
import sys
import seaborn as sns
sns.set_theme(style="dark")
def data_overview(file:str, column:str, verbose:bool):
'''
Function that reads in data, prints to terminal null values, data types of column and description
Parameters
----------
fil... | BB_data/helper_scripts/base_functions.py | import pandas as pd
import numpy as np
import re
import sys
import seaborn as sns
sns.set_theme(style="dark")
def data_overview(file:str, column:str, verbose:bool):
'''
Function that reads in data, prints to terminal null values, data types of column and description
Parameters
----------
fil... | 0.453504 | 0.580055 |
from __future__ import absolute_import, print_function, division, unicode_literals
"""
-- Day 1: Report Repair --
After saving Christmas five years in a row, you've decided to take a vacation at a nice resort on a tropical island.
Surely, Christmas will go on without you.
The tropical island has its own curr... | greg_amato/gamato_01.py | from __future__ import absolute_import, print_function, division, unicode_literals
"""
-- Day 1: Report Repair --
After saving Christmas five years in a row, you've decided to take a vacation at a nice resort on a tropical island.
Surely, Christmas will go on without you.
The tropical island has its own curr... | 0.540439 | 0.313288 |
r"""
Code for computing characters of Hessenberg varieties.
"""
import itertools as it
import numpy as np
from collections import defaultdict
from fragment import *
from path import *
from perm import *
from util import *
# ---------------------------------------------------------
import logging
logger = logging.g... | hess.py |
r"""
Code for computing characters of Hessenberg varieties.
"""
import itertools as it
import numpy as np
from collections import defaultdict
from fragment import *
from path import *
from perm import *
from util import *
# ---------------------------------------------------------
import logging
logger = logging.g... | 0.485112 | 0.42668 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
("branches", "0001_initial"),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
o... | cargotracker/cargo/migrations/0001_initial.py |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
("branches", "0001_initial"),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
o... | 0.484868 | 0.123709 |
from .optimizer import Optimizer, Options, cluster, np
class OPLES_options(Options):
def __init__(self):
super().__init__()
self.n = 40 # population size
self.max_sigma = 1e-1 # max sampling deviation
self.min_sigma = 1e-8 # min sampling deviation
... | lofi/optimizers/OPLES.py | from .optimizer import Optimizer, Options, cluster, np
class OPLES_options(Options):
def __init__(self):
super().__init__()
self.n = 40 # population size
self.max_sigma = 1e-1 # max sampling deviation
self.min_sigma = 1e-8 # min sampling deviation
... | 0.446495 | 0.252857 |
import logging
import os
import sys
from ironicclient import client as ironic_client
from ironicclient.openstack.common.apiclient import exceptions as \
ironic_exceptions
logging.basicConfig(level=logging.INFO)
LOG = logging.getLogger(__name__)
try:
import memcache
except ImportError as e:
USE_MEMCACHE... | PoCs/ironic-memcache-poc2.py |
import logging
import os
import sys
from ironicclient import client as ironic_client
from ironicclient.openstack.common.apiclient import exceptions as \
ironic_exceptions
logging.basicConfig(level=logging.INFO)
LOG = logging.getLogger(__name__)
try:
import memcache
except ImportError as e:
USE_MEMCACHE... | 0.218753 | 0.069164 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Choice',
fields=[
('id', models.AutoField(auto_created=Tru... | django/AIST_survey/migrations/0001_initial.py |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Choice',
fields=[
('id', models.AutoField(auto_created=Tru... | 0.585457 | 0.166337 |
import os
import re
import random
import cv2
import torch
from torch.utils import data
class Tactile_Vision_dataset(data.Dataset):
def __init__(self, data_path='./data'):
self.data_path = data_path
self.label_files = []
self.train_data = []
for root, dirs, files in os.walk(data_path... | libs/utils/data_loader.py | import os
import re
import random
import cv2
import torch
from torch.utils import data
class Tactile_Vision_dataset(data.Dataset):
def __init__(self, data_path='./data'):
self.data_path = data_path
self.label_files = []
self.train_data = []
for root, dirs, files in os.walk(data_path... | 0.373419 | 0.172764 |
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from horizon import tabs
from horizon import messages
from django.conf import settings
from django.utils.http import urlencode
import os
import shutil
from avidashboard import api
from avidashboard.dashboards.project.loadbalance... | avidashboard/dashboards/project/loadbalancers/tabs.py |
from django.utils.translation import ugettext_lazy as _
from horizon import exceptions
from horizon import tabs
from horizon import messages
from django.conf import settings
from django.utils.http import urlencode
import os
import shutil
from avidashboard import api
from avidashboard.dashboards.project.loadbalance... | 0.36139 | 0.057705 |
from unittest import TestCase, mock
from unittest.mock import MagicMock
from src.views import take_screenshot_view
class Form():
def to_dict(self):
return {'wait_until': 'load'}
class GetRequest():
def __init__(self):
self.args = {'url': 'http://fake'}
self.method = 'GET'
self... | tests/test_view_unit.py | from unittest import TestCase, mock
from unittest.mock import MagicMock
from src.views import take_screenshot_view
class Form():
def to_dict(self):
return {'wait_until': 'load'}
class GetRequest():
def __init__(self):
self.args = {'url': 'http://fake'}
self.method = 'GET'
self... | 0.808105 | 0.28498 |
import numpy as np
from mpl_toolkits.mplot3d import axes3d, Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.colors import colorConverter
import sys
from utils import IndexedPoseVisitor, get_level
import sqlite3
import itertools
def get_navpoints(level):
navpoints = {}
links = [... | fromMM-NEAT/data/unreal/UT2/DATA/human/plot_by_navpoint.py | import numpy as np
from mpl_toolkits.mplot3d import axes3d, Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.colors import colorConverter
import sys
from utils import IndexedPoseVisitor, get_level
import sqlite3
import itertools
def get_navpoints(level):
navpoints = {}
links = [... | 0.260578 | 0.384046 |
from copy import deepcopy
from dataclasses import dataclass, field
from queue import PriorityQueue
from typing import Optional
import pygame
from ai_neural_net import NeuralNetGraph
from game_state import Actor, GameState
from helpers import grid_distance, within_grid
from vector import Vector
import ai_constants as ... | ai_controls.py | from copy import deepcopy
from dataclasses import dataclass, field
from queue import PriorityQueue
from typing import Optional
import pygame
from ai_neural_net import NeuralNetGraph
from game_state import Actor, GameState
from helpers import grid_distance, within_grid
from vector import Vector
import ai_constants as ... | 0.934619 | 0.552178 |
from __future__ import print_function
from builtins import str
import os
from argparse import ArgumentParser
import json
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "idc.settings")
import django
django.setup()
from idc import settings
import logging
from django.contrib.auth.models import User
from django.core.... | scripts/create_prior_version_cohorts.py |
from __future__ import print_function
from builtins import str
import os
from argparse import ArgumentParser
import json
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "idc.settings")
import django
django.setup()
from idc import settings
import logging
from django.contrib.auth.models import User
from django.core.... | 0.503662 | 0.168651 |
{
"variables": {
"openssl_fips%": "",
"LIBOPENSSL": "<(PRODUCT_DIR)/libopenssl.a",
"gypkg_deps": [
"git://github.com/libuv/libuv.git@^1.9.0 => uv.gyp:libuv",
"git://github.com/nodejs/http-parser@^2.7.1 [gpg] => http_parser.gyp:http_parser",
"git://github.com/gypkg/ringbuffer@^1.0.0 [gpg]... | bud.gyp | {
"variables": {
"openssl_fips%": "",
"LIBOPENSSL": "<(PRODUCT_DIR)/libopenssl.a",
"gypkg_deps": [
"git://github.com/libuv/libuv.git@^1.9.0 => uv.gyp:libuv",
"git://github.com/nodejs/http-parser@^2.7.1 [gpg] => http_parser.gyp:http_parser",
"git://github.com/gypkg/ringbuffer@^1.0.0 [gpg]... | 0.225417 | 0.283992 |
def test_plot_classification_performance():
import numpy as np
import matplotlib.pyplot as plt
from pycharmers.matplotlib import plot_classification_performance
fig, ax = plt.subplots(figsize=(5,5))
rnd = np.random.RandomState(123)
y_true = rnd.randint(low=0, high=4, size=100)
y_pred = rnd.r... | tests/matplotlib/test_plot2d.py | def test_plot_classification_performance():
import numpy as np
import matplotlib.pyplot as plt
from pycharmers.matplotlib import plot_classification_performance
fig, ax = plt.subplots(figsize=(5,5))
rnd = np.random.RandomState(123)
y_true = rnd.randint(low=0, high=4, size=100)
y_pred = rnd.r... | 0.507324 | 0.610599 |
from .models import db, User, Pdf
import json
from mimetypes import MimeTypes
import base64
import os
from time import perf_counter
import requests
from flask_cors import cross_origin
import jwt
from functools import wraps
from datetime import datetime, timedelta
from werkzeug import secure_filename
from flask import B... | api/api/api.py | from .models import db, User, Pdf
import json
from mimetypes import MimeTypes
import base64
import os
from time import perf_counter
import requests
from flask_cors import cross_origin
import jwt
from functools import wraps
from datetime import datetime, timedelta
from werkzeug import secure_filename
from flask import B... | 0.390708 | 0.049866 |
import argparse
import json
import os.path
import requests
import boto3
DOWNLOAD_DIR = 'objects'
S3 = boto3.client('s3')
def download_object(url, verbose):
if not os.path.exists(DOWNLOAD_DIR):
os.mkdir(DOWNLOAD_DIR)
target_path = os.path.join(DOWNLOAD_DIR, url.split('/')[-1])
if verbose:
... | download.py | import argparse
import json
import os.path
import requests
import boto3
DOWNLOAD_DIR = 'objects'
S3 = boto3.client('s3')
def download_object(url, verbose):
if not os.path.exists(DOWNLOAD_DIR):
os.mkdir(DOWNLOAD_DIR)
target_path = os.path.join(DOWNLOAD_DIR, url.split('/')[-1])
if verbose:
... | 0.317426 | 0.078466 |
class PokerHand(object):
RESULT = ["Loss", "Tie", "Win"]
def __init__(self, hand):
#Let's divide the cards up first
cards = hand.split()
#Then sort them in descending order. The addition of '0'
# and '1' means that each card gets assigned its correct
# ordinal... | 4kyu/ranking-poker-hands.py | class PokerHand(object):
RESULT = ["Loss", "Tie", "Win"]
def __init__(self, hand):
#Let's divide the cards up first
cards = hand.split()
#Then sort them in descending order. The addition of '0'
# and '1' means that each card gets assigned its correct
# ordinal... | 0.464416 | 0.490236 |
from io import BytesIO
from typing import List, Tuple, Optional
PSBT_MAGIC_SEPARATOR = b'psbt' + b'\xFF'
PSBT_GLOBAL_UNSIGNED_TX = b'\x00'
def little_endian_to_int(b: bytes):
'''little_endian_to_int takes bytes sequence as a little-endian number.
Returns an integer'''
# use the from_bytes method of int
... | lndmanage/lib/psbt.py | from io import BytesIO
from typing import List, Tuple, Optional
PSBT_MAGIC_SEPARATOR = b'psbt' + b'\xFF'
PSBT_GLOBAL_UNSIGNED_TX = b'\x00'
def little_endian_to_int(b: bytes):
'''little_endian_to_int takes bytes sequence as a little-endian number.
Returns an integer'''
# use the from_bytes method of int
... | 0.75985 | 0.468973 |
import requests, urllib.request
from PyQt5.QtWidgets import QAction, QMessageBox, QInputDialog, QLineEdit
from qgis.core import QgsVectorLayer, QgsField, QgsFeature, QgsGeometry, QgsPointXY, QgsProject
def classFactory(iface):
return FlurstueckssucheNRW(iface)
class FlurstueckssucheNRW:
def __init__(self, ifa... | plugin/__init__.py | import requests, urllib.request
from PyQt5.QtWidgets import QAction, QMessageBox, QInputDialog, QLineEdit
from qgis.core import QgsVectorLayer, QgsField, QgsFeature, QgsGeometry, QgsPointXY, QgsProject
def classFactory(iface):
return FlurstueckssucheNRW(iface)
class FlurstueckssucheNRW:
def __init__(self, ifa... | 0.342572 | 0.174762 |
import numpy as np
def least_conf(data,num_classes):
num_labels = float(num_classes)
least_conf_ranks = []
prob_dist = calculate_probs(data,num_labels)
simple_least_conf = np.nanmax(prob_dist) # most confident prediction, ignoring NaNs
normalized_least_conf = (1 - simple_least_conf) * (num_labels ... | utils/ranking/least_confidence_softmax.py | import numpy as np
def least_conf(data,num_classes):
num_labels = float(num_classes)
least_conf_ranks = []
prob_dist = calculate_probs(data,num_labels)
simple_least_conf = np.nanmax(prob_dist) # most confident prediction, ignoring NaNs
normalized_least_conf = (1 - simple_least_conf) * (num_labels ... | 0.574872 | 0.492493 |
import numpy as np
from Filters.CMNFFilter import CMNFFilter
from numba import jit
import time
class SimpleCMNFFilter():
"""
Conditionnaly minimax nonlinear filter
for a nonlinear stchastic dicret-time model:
x(t) = Phi(t-1, x(t-1), xHat(t-1)) + W(t) - state dynamics
y(t) = Psi(t, x(t)) + Nu(t) ... | Filters/SimpleCMNFFilter.py | import numpy as np
from Filters.CMNFFilter import CMNFFilter
from numba import jit
import time
class SimpleCMNFFilter():
"""
Conditionnaly minimax nonlinear filter
for a nonlinear stchastic dicret-time model:
x(t) = Phi(t-1, x(t-1), xHat(t-1)) + W(t) - state dynamics
y(t) = Psi(t, x(t)) + Nu(t) ... | 0.745028 | 0.650079 |
import time
from Commons.base_page import Base_page
from Commons.xpath import Invest_xpath, Home_xpath, Login_xpath
from Datas.all_datas import Login_datas
class Invest_page(Base_page):
# 登陆并投首标
def invst_user_login(self):
time.sleep(1)
self.operate_click(Home_xpath.user_login, '登陆用户... | web_3/Page/invest_page.py | import time
from Commons.base_page import Base_page
from Commons.xpath import Invest_xpath, Home_xpath, Login_xpath
from Datas.all_datas import Login_datas
class Invest_page(Base_page):
# 登陆并投首标
def invst_user_login(self):
time.sleep(1)
self.operate_click(Home_xpath.user_login, '登陆用户... | 0.267408 | 0.129899 |
import Queue
class Node:
def __init__(self, data, lchild=None, rchild=None):
self.data = data
self.lchild = lchild
self.rchild = rchild
def bottom_view(root, level):
if root == None:
return
q = Queue.Queue()
q.put((root, level))
view_map = {}
while (not q.empty()):
node, sub_level = q.get()
view... | BinaryTree/BinaryTreeViews.py | import Queue
class Node:
def __init__(self, data, lchild=None, rchild=None):
self.data = data
self.lchild = lchild
self.rchild = rchild
def bottom_view(root, level):
if root == None:
return
q = Queue.Queue()
q.put((root, level))
view_map = {}
while (not q.empty()):
node, sub_level = q.get()
view... | 0.131466 | 0.219735 |
from dae.backends.cnv.loader import CNVLoader
from dae.pedigrees.loader import FamiliesLoader
def test_cnv_loader(fixture_dirname, genomes_db_2013):
families_file = fixture_dirname("backends/cnv_ped.txt")
families = FamiliesLoader.load_simple_families_file(families_file)
assert families is not None
v... | dae/dae/backends/cnv/tests/test_cnv_loader.py | from dae.backends.cnv.loader import CNVLoader
from dae.pedigrees.loader import FamiliesLoader
def test_cnv_loader(fixture_dirname, genomes_db_2013):
families_file = fixture_dirname("backends/cnv_ped.txt")
families = FamiliesLoader.load_simple_families_file(families_file)
assert families is not None
v... | 0.42179 | 0.369742 |
from __future__ import unicode_literals
from PyQt5.QtCore import QAbstractTableModel, QModelIndex, Qt, QVariant
class TabModel(QAbstractTableModel):
""" Tabelaryczny model danych """
def __init__(self, pola=[], dane=[], parent=None):
super(TabModel, self).__init__()
self.pola = pola
s... | docs/pyqt/todopw/tabmodel_z6.py | from __future__ import unicode_literals
from PyQt5.QtCore import QAbstractTableModel, QModelIndex, Qt, QVariant
class TabModel(QAbstractTableModel):
""" Tabelaryczny model danych """
def __init__(self, pola=[], dane=[], parent=None):
super(TabModel, self).__init__()
self.pola = pola
s... | 0.519278 | 0.307098 |
import numpy as np
from scipy.signal import convolve2d
from skimage.color import rgb2grey
import matplotlib.pyplot as plt
import pickle, copy
def getCanImg(MX,s,fr,x,y,w=10,h=15,offy=1): return MX[s][fr][y+offy-h:y+offy+h,x-w:x+w,:]
def rgbDifference(im1, im2):
ret = np.ones(im1.shape) * 99999.0
nI, nJ, mxd = im2.s... | PCA_582HW3/imageFunctions.py | import numpy as np
from scipy.signal import convolve2d
from skimage.color import rgb2grey
import matplotlib.pyplot as plt
import pickle, copy
def getCanImg(MX,s,fr,x,y,w=10,h=15,offy=1): return MX[s][fr][y+offy-h:y+offy+h,x-w:x+w,:]
def rgbDifference(im1, im2):
ret = np.ones(im1.shape) * 99999.0
nI, nJ, mxd = im2.s... | 0.164785 | 0.389605 |
data=[('172.16.17.32:40945', '172.16.31.10:6881'),
('172.16.17.32:40945', '192.168.3.11:6889'),
('172.16.17.32:40945', '172.16.17.32:6881'),
('172.16.17.32:40945', '172.16.58.3:50321'),
('172.16.17.32:40945', '172.16.17.32:51913'),
('172.16.17.32:40945', '172.16.58.3:42371'),
('172.16.17.32:40945', '192.168.127.12:4029... | data_file.py | data=[('172.16.17.32:40945', '172.16.31.10:6881'),
('172.16.17.32:40945', '192.168.3.11:6889'),
('172.16.17.32:40945', '172.16.17.32:6881'),
('172.16.17.32:40945', '172.16.58.3:50321'),
('172.16.17.32:40945', '172.16.17.32:51913'),
('172.16.17.32:40945', '172.16.58.3:42371'),
('172.16.17.32:40945', '192.168.127.12:4029... | 0.41739 | 0.130535 |
import os
from wakatime.session_cache import SessionCache
from wakatime.logger import setup_logging
from . import utils
class SessionCacheTestCase(utils.TestCase):
patch_these = [
'wakatime.packages.requests.adapters.HTTPAdapter.send',
'wakatime.offlinequeue.Queue.push',
['wakatime.offli... | tests/test_session_cache.py |
import os
from wakatime.session_cache import SessionCache
from wakatime.logger import setup_logging
from . import utils
class SessionCacheTestCase(utils.TestCase):
patch_these = [
'wakatime.packages.requests.adapters.HTTPAdapter.send',
'wakatime.offlinequeue.Queue.push',
['wakatime.offli... | 0.571647 | 0.140956 |
import pyudev
import argparse
from datetime import datetime
import errno
import time
import os
import sys
import curses
from multiprocessing import Queue, Process
from Queue import Empty
import subprocess
def main():
parser = argparse.ArgumentParser(description="""
Writes a disk image to multiple USB drives i... | pymultiwriter.py | import pyudev
import argparse
from datetime import datetime
import errno
import time
import os
import sys
import curses
from multiprocessing import Queue, Process
from Queue import Empty
import subprocess
def main():
parser = argparse.ArgumentParser(description="""
Writes a disk image to multiple USB drives i... | 0.280912 | 0.078254 |
import unittest
from mem_dixy.tag.alphabet import logical
from mem_dixy.Unicode.U0000 import *
from enum import Enum
class enum_comparison(Enum):
lt = 0,
le = 1,
eq = 2,
ne = 3,
ge = 4,
gt = 5,
sa = 6,
sn = 7
class operator():
pass
class comparison(operator):
def __init_... | gui/demo/ptest - Copy (2).py | import unittest
from mem_dixy.tag.alphabet import logical
from mem_dixy.Unicode.U0000 import *
from enum import Enum
class enum_comparison(Enum):
lt = 0,
le = 1,
eq = 2,
ne = 3,
ge = 4,
gt = 5,
sa = 6,
sn = 7
class operator():
pass
class comparison(operator):
def __init_... | 0.620737 | 0.357736 |
import traci
from logging import log
from sensors.sensors import sense_characteristics, sense_pedestrians
from algorithm import next_phase
from intersection import NextScheduledPhase
def tsl(step, config, state):
if state.should_switch_phase:
p = calculate_next_phase(step, config, state.phases_state)
... | simulation/simulation/controller_utils.py | import traci
from logging import log
from sensors.sensors import sense_characteristics, sense_pedestrians
from algorithm import next_phase
from intersection import NextScheduledPhase
def tsl(step, config, state):
if state.should_switch_phase:
p = calculate_next_phase(step, config, state.phases_state)
... | 0.453504 | 0.243642 |
import utils
import pyqtgraph as pg
import numpy as np
def mouseMoved(evt):
global mouse_pos
mousePoint = objective_plot.vb.mapSceneToView(evt[0])
mouse_pos = [mousePoint.x(), mousePoint.y()]
mouse_pos = [0,0]
proximity = 0.05
# Open data from file
filename = '/Users/jamesashford/Documents/NatSci Exeter/... | pituitary_model/random_model/plot_saved_data.py | import utils
import pyqtgraph as pg
import numpy as np
def mouseMoved(evt):
global mouse_pos
mousePoint = objective_plot.vb.mapSceneToView(evt[0])
mouse_pos = [mousePoint.x(), mousePoint.y()]
mouse_pos = [0,0]
proximity = 0.05
# Open data from file
filename = '/Users/jamesashford/Documents/NatSci Exeter/... | 0.409339 | 0.540803 |
import keras
from keras.preprocessing import image
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Model, load_model
from keras.layers import Input, Dense, Dropout, Flatten, Conv2D, MaxPooling2D
import numpy as np
num_emotions = 7
batch_size = 256
steps_per_epoch = 112
epochs = 11
emo... | face-emotion/face-emotion-model.py | import keras
from keras.preprocessing import image
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Model, load_model
from keras.layers import Input, Dense, Dropout, Flatten, Conv2D, MaxPooling2D
import numpy as np
num_emotions = 7
batch_size = 256
steps_per_epoch = 112
epochs = 11
emo... | 0.769946 | 0.59796 |
from os import environ, path
from pathlib import Path
import re
from datetime import datetime, timedelta, time
import logging
import pickle
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google_reminder_api_wr... | src/gc_bd_reminder.py | from os import environ, path
from pathlib import Path
import re
from datetime import datetime, timedelta, time
import logging
import pickle
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google_reminder_api_wr... | 0.457621 | 0.087525 |
import subprocess
import os
import argparse
import time
DATA_LOC='/home/boubin/Images/'
CUBE_LOC='/home/boubin/SoftwarePilot/DistributedRL/Data/'
def consoleLog(string):
print("#################################################")
print("##############DRL Controller:")
print(string)
print("#########################... | DistributedRL/DRLController/DRLController.py | import subprocess
import os
import argparse
import time
DATA_LOC='/home/boubin/Images/'
CUBE_LOC='/home/boubin/SoftwarePilot/DistributedRL/Data/'
def consoleLog(string):
print("#################################################")
print("##############DRL Controller:")
print(string)
print("#########################... | 0.03903 | 0.037292 |
import utils.colors as colors
from configs import config_app
from configs.visual_data import VisDefaults
from libavg_charts.aid_lines.aid_line_enums import *
from libavg_charts.axis.chart_axis_enums import *
from libavg_charts.charts.chart_enums import LabelPosition
class AidLineDefaults(object):
SHOW_LABEL = Fal... | libavg_charts/utils/default_values.py | import utils.colors as colors
from configs import config_app
from configs.visual_data import VisDefaults
from libavg_charts.aid_lines.aid_line_enums import *
from libavg_charts.axis.chart_axis_enums import *
from libavg_charts.charts.chart_enums import LabelPosition
class AidLineDefaults(object):
SHOW_LABEL = Fal... | 0.373304 | 0.105948 |
import numpy as np
from sklearn.neighbors import NearestNeighbors
from sklearn.metrics.pairwise import cosine_similarity
from scipy.spatial import distance
import pdb
import warnings
from scipy import sparse
import cPickle as pickle
from sklearn.naive_bayes import MultinomialNB
import collections
def loadData():
pr... | code/contentBoosted_cross.py |
import numpy as np
from sklearn.neighbors import NearestNeighbors
from sklearn.metrics.pairwise import cosine_similarity
from scipy.spatial import distance
import pdb
import warnings
from scipy import sparse
import cPickle as pickle
from sklearn.naive_bayes import MultinomialNB
import collections
def loadData():
pr... | 0.228759 | 0.227094 |
import os
from torch.utils.tensorboard import SummaryWriter
import torch
import pytorch_lightning as pl
from tqdm import tqdm
def train_ssl(model, train_set, val_set, device, nepochs):
if device == "cuda":
gpus = 1
else:
gpus = None
trainer = pl.Trainer(
gpus=gpus,
max_epoc... | pneumo/training/training.py | import os
from torch.utils.tensorboard import SummaryWriter
import torch
import pytorch_lightning as pl
from tqdm import tqdm
def train_ssl(model, train_set, val_set, device, nepochs):
if device == "cuda":
gpus = 1
else:
gpus = None
trainer = pl.Trainer(
gpus=gpus,
max_epoc... | 0.68616 | 0.351269 |
from django.conf import settings
from django.core.paginator import Paginator
from django.db.models import Count
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.urls import reverse
from django.conf import settings
from wagtail.admin.auth import u... | biserici_inlemnite/app/views.py | from django.conf import settings
from django.core.paginator import Paginator
from django.db.models import Count
from django.shortcuts import get_object_or_404, redirect
from django.template.response import TemplateResponse
from django.urls import reverse
from django.conf import settings
from wagtail.admin.auth import u... | 0.468061 | 0.132038 |
import tensorflow as tf
import numpy as np
import os
import logging
import pickle
import pandas as pd
import argparse
from amber.modeler import EnasCnnModelBuilder
from amber.architect.controller import ZeroShotController
from amber.architect.modelSpace import State, ModelSpace
from amber.architect.commonOps import co... | AMBER/examples/zero_shot_nas.sim_data.py | import tensorflow as tf
import numpy as np
import os
import logging
import pickle
import pandas as pd
import argparse
from amber.modeler import EnasCnnModelBuilder
from amber.architect.controller import ZeroShotController
from amber.architect.modelSpace import State, ModelSpace
from amber.architect.commonOps import co... | 0.698021 | 0.185947 |
from .. import types, functions
import webbrowser
class MessageButton:
"""
Custom class that encapsulates a message providing an abstraction to
easily access some commonly needed features (such as the markdown text
or the text for a given message entity).
Attributes:
button (:tl:`Keyboar... | telethon/tl/custom/messagebutton.py | from .. import types, functions
import webbrowser
class MessageButton:
"""
Custom class that encapsulates a message providing an abstraction to
easily access some commonly needed features (such as the markdown text
or the text for a given message entity).
Attributes:
button (:tl:`Keyboar... | 0.883418 | 0.300848 |
from __future__ import absolute_import, division, print_function, unicode_literals
from future.builtins import * # noqa pylint: disable=W0401, W0614
from future.builtins.disabled import * # noqa pylint: disable=W0401, W0614
# === End Python 2/3 compatibility
import pytest
import numpy as np
import h5py
import glo... | tests/test_transpose.py | from __future__ import absolute_import, division, print_function, unicode_literals
from future.builtins import * # noqa pylint: disable=W0401, W0614
from future.builtins.disabled import * # noqa pylint: disable=W0401, W0614
# === End Python 2/3 compatibility
import pytest
import numpy as np
import h5py
import glo... | 0.480722 | 0.244363 |
import os
import functools
import random
import uuid
from multiprocessing import Process, Manager, Lock
from shapely.geometry import Point
from agent import agent, status
def read_init_situation(init_file):
situation_initiate = {}
with open(init_file, "r", encoding="utf-8") as f:
data_read = f.read()... | utils/agent_utils.py | import os
import functools
import random
import uuid
from multiprocessing import Process, Manager, Lock
from shapely.geometry import Point
from agent import agent, status
def read_init_situation(init_file):
situation_initiate = {}
with open(init_file, "r", encoding="utf-8") as f:
data_read = f.read()... | 0.242206 | 0.177241 |
from torch.utils.tensorboard import SummaryWriter
import os
import torch
import numpy as np
class Recorder:
def __init__(self):
self.metrics = {}
self.kvs ={}
def record(self, name, value):
"""
Description:
Using dictionary to record metrics. The value of the items... | utils/logger.py | from torch.utils.tensorboard import SummaryWriter
import os
import torch
import numpy as np
class Recorder:
def __init__(self):
self.metrics = {}
self.kvs ={}
def record(self, name, value):
"""
Description:
Using dictionary to record metrics. The value of the items... | 0.866768 | 0.432363 |
import types
import weakref
from .adt_meta import GetitemSyntax, AttrSyntax, EnumMeta
__ALL__ = ['new', 'make_modifier', 'is_modified', 'is_modifier', 'get_modifier', 'get_unmodified', 'strip_modifiers', 'push_modifiers']
_DEBUG = False
#special sentinal value
class _MISSING: pass
def new(klass, bind=_MISSING, *, ... | hwtypes/modifiers.py | import types
import weakref
from .adt_meta import GetitemSyntax, AttrSyntax, EnumMeta
__ALL__ = ['new', 'make_modifier', 'is_modified', 'is_modifier', 'get_modifier', 'get_unmodified', 'strip_modifiers', 'push_modifiers']
_DEBUG = False
#special sentinal value
class _MISSING: pass
def new(klass, bind=_MISSING, *, ... | 0.40439 | 0.169887 |
import arcgis as _arcgis
import arcgis.network as network
def find_existing_locations(
input_layers=None,
expressions=None,
output_name=None,
context=None,
gis=None,
estimate=False,
future=False):
"""
.. image:: _static/images/find_existing_locations/fi... | CarParkArcGisApi/CarParkArcGisApi/env/Lib/site-packages/arcgis/features/find_locations.py | import arcgis as _arcgis
import arcgis.network as network
def find_existing_locations(
input_layers=None,
expressions=None,
output_name=None,
context=None,
gis=None,
estimate=False,
future=False):
"""
.. image:: _static/images/find_existing_locations/fi... | 0.859457 | 0.656355 |
import asyncio
import json
from typing import Any, Dict, List, Tuple
from dydx3 import Client
from dydx3.constants import API_HOST_ROPSTEN, API_HOST_MAINNET
from dydx3.constants import NETWORK_ID_ROPSTEN, NETWORK_ID_MAINNET
from constants import ApiNames, DEFAULT_DYDX_API_KEY_CONFIG_ID
from event_trigger import get_m... | dydx_alerts/run.py | import asyncio
import json
from typing import Any, Dict, List, Tuple
from dydx3 import Client
from dydx3.constants import API_HOST_ROPSTEN, API_HOST_MAINNET
from dydx3.constants import NETWORK_ID_ROPSTEN, NETWORK_ID_MAINNET
from constants import ApiNames, DEFAULT_DYDX_API_KEY_CONFIG_ID
from event_trigger import get_m... | 0.315841 | 0.175538 |
import logging
import os
import sys
logger = logging.getLogger()
handler = logging.StreamHandler(sys.stdout)
log_level_switcher = {
"CRITICAL" : logging.CRITICAL,
"ERROR" : logging.ERROR,
"WARNING" : logging.WARNING,
"INFO" : logging.INFO,
"DEBUG" : logging.DEBUG
}
log_level = log_le... | src/utils.py |
import logging
import os
import sys
logger = logging.getLogger()
handler = logging.StreamHandler(sys.stdout)
log_level_switcher = {
"CRITICAL" : logging.CRITICAL,
"ERROR" : logging.ERROR,
"WARNING" : logging.WARNING,
"INFO" : logging.INFO,
"DEBUG" : logging.DEBUG
}
log_level = log_le... | 0.274546 | 0.037432 |
from stenway.reliabletxt import *
class WsvChar:
def isWhitespace(c):
return (c == 0x09 or
(c >= 0x0B and c <= 0x0D) or
c == 0x0020 or
c == 0x0085 or
c == 0x00A0 or
c == 0x1680 or
(c >= 0x2000 and c <= 0x200A) or
c == 0x2028 or
c == 0x2029 or
c == 0x202F or
c == 0x205F or
... | stenway/wsv.py | from stenway.reliabletxt import *
class WsvChar:
def isWhitespace(c):
return (c == 0x09 or
(c >= 0x0B and c <= 0x0D) or
c == 0x0020 or
c == 0x0085 or
c == 0x00A0 or
c == 0x1680 or
(c >= 0x2000 and c <= 0x200A) or
c == 0x2028 or
c == 0x2029 or
c == 0x202F or
c == 0x205F or
... | 0.294114 | 0.284682 |
from copy import deepcopy
import os
from typing import Dict, List, Tuple, Union
from .config import Config, ConfigDict
__all__ = ["load_cfg"]
def _check_key(key: str, cfg: Union[Config, ConfigDict, dict]) -> None:
"""Check for key in dict-like objects
"""
assert key in cfg.keys(), \
f"ERR: {key}... | dhole/config/loader.py | from copy import deepcopy
import os
from typing import Dict, List, Tuple, Union
from .config import Config, ConfigDict
__all__ = ["load_cfg"]
def _check_key(key: str, cfg: Union[Config, ConfigDict, dict]) -> None:
"""Check for key in dict-like objects
"""
assert key in cfg.keys(), \
f"ERR: {key}... | 0.672224 | 0.437463 |
# Sensor for the Backup State component.
from homeassistant.config_entries import ConfigEntry
from homeassistant.helpers.typing import HomeAssistantType
from homeassistant.helpers.restore_state import RestoreEntity
from typing import Any, Dict
import json
import logging
from . import BackupStateDevice
from .const i... | custom_components/sensor.py |
# Sensor for the Backup State component.
from homeassistant.config_entries import ConfigEntry
from homeassistant.helpers.typing import HomeAssistantType
from homeassistant.helpers.restore_state import RestoreEntity
from typing import Any, Dict
import json
import logging
from . import BackupStateDevice
from .const i... | 0.868674 | 0.203351 |
from __future__ import print_function
import subprocess
import getpass
import os
import functools
import argparse
import sys
try:
input = raw_input
except NameError:
pass
red = '\033[31m'
green = '\033[32m'
lightgrey = '\033[37m'
reset = '\033[0m'
def print_info(message):
print(lightgrey + "[*] " + res... | gtfonow.py |
from __future__ import print_function
import subprocess
import getpass
import os
import functools
import argparse
import sys
try:
input = raw_input
except NameError:
pass
red = '\033[31m'
green = '\033[32m'
lightgrey = '\033[37m'
reset = '\033[0m'
def print_info(message):
print(lightgrey + "[*] " + res... | 0.195709 | 0.07836 |
from enum import Enum, IntFlag, auto
class TexFormat(Enum):
RGBA8888 = 0
DXT5 = 4
DXT3 = 6
DXT1 = 7
RG88 = 8
R8 = 9
class TexFlags(IntFlag):
NONE = 0
NoInterpolation = 1
ClampUVs = 2
IsGif = 4
# Placeholders
Unk3 = 8
Unk4 = 16
Unk5 = 32
Unk6 = 64
Unk7 ... | enums.py | from enum import Enum, IntFlag, auto
class TexFormat(Enum):
RGBA8888 = 0
DXT5 = 4
DXT3 = 6
DXT1 = 7
RG88 = 8
R8 = 9
class TexFlags(IntFlag):
NONE = 0
NoInterpolation = 1
ClampUVs = 2
IsGif = 4
# Placeholders
Unk3 = 8
Unk4 = 16
Unk5 = 32
Unk6 = 64
Unk7 ... | 0.685529 | 0.174797 |
from django.db import models
from django.contrib.auth.models import AbstractBaseUser, \
BaseUserManager, PermissionsMixin
from django.conf import settings
class Role(models.Model):
"""Model for role"""
name = models.CharField(max_length=200, null=True, blank=True)
... | app/core/models.py | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, \
BaseUserManager, PermissionsMixin
from django.conf import settings
class Role(models.Model):
"""Model for role"""
name = models.CharField(max_length=200, null=True, blank=True)
... | 0.667798 | 0.117294 |
from __future__ import print_function, division
import pandas as pd
import logging
from traits.api import Constant, Tuple
from chaco.api import ArrayPlotData, ColorBar, ColormappedSelectionOverlay, \
HPlotContainer, LinearMapper, ScatterInspectorOverlay
from chaco.default_colormaps import color_map_name_dict
from... | pybleau/app/plotting/scatter_factories.py | from __future__ import print_function, division
import pandas as pd
import logging
from traits.api import Constant, Tuple
from chaco.api import ArrayPlotData, ColorBar, ColormappedSelectionOverlay, \
HPlotContainer, LinearMapper, ScatterInspectorOverlay
from chaco.default_colormaps import color_map_name_dict
from... | 0.69233 | 0.252799 |
from __future__ import print_function
from docopt import docopt
import requests
from time import sleep
class Trigger:
def __init__(self, arguments):
self.arguments = arguments
self.debug = arguments['--debug']
self.job = arguments['--job'][0]
self.user = arguments['--jenkins-user'... | hack/jenkins_bootstrap.py | from __future__ import print_function
from docopt import docopt
import requests
from time import sleep
class Trigger:
def __init__(self, arguments):
self.arguments = arguments
self.debug = arguments['--debug']
self.job = arguments['--job'][0]
self.user = arguments['--jenkins-user'... | 0.269422 | 0.061424 |
import os
import pathlib
import random
import string
from typing import Optional, Tuple
import capstone
import keystone
import unicorn
from PyQt6.QtWidgets import QTextEdit
import cemu.core
from cemu.arch import (Architecture, Architectures, Endianness, is_aarch64,
is_arm, is_arm_thumb, is_mips... | cemu/utils.py | import os
import pathlib
import random
import string
from typing import Optional, Tuple
import capstone
import keystone
import unicorn
from PyQt6.QtWidgets import QTextEdit
import cemu.core
from cemu.arch import (Architecture, Architectures, Endianness, is_aarch64,
is_arm, is_arm_thumb, is_mips... | 0.555676 | 0.152916 |
import requests
class get_user:
def __init__(self, user_id: int):
self.user_id = user_id
self.response = requests.get(f'https://api.truckersmp.com/v2/player/{user_id}').json().get('response')
def name(self):
return self.response.get('name')
def id(self):
retur... | truckersmp_module.py | import requests
class get_user:
def __init__(self, user_id: int):
self.user_id = user_id
self.response = requests.get(f'https://api.truckersmp.com/v2/player/{user_id}').json().get('response')
def name(self):
return self.response.get('name')
def id(self):
retur... | 0.374104 | 0.067424 |