code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from indra.util import _require_python3
import os
import sys
from random import shuffle
from indra.sources import biopax
import indra.tools.assemble_corpus as ac
from indra.assemblers import CxAssembler
from indra.literature.pubmed_client import get_ids_for_gene
base_network = 'PAR1-mediated thrombin signaling events... | models/gpcr/assemble_model.py | from indra.util import _require_python3
import os
import sys
from random import shuffle
from indra.sources import biopax
import indra.tools.assemble_corpus as ac
from indra.assemblers import CxAssembler
from indra.literature.pubmed_client import get_ids_for_gene
base_network = 'PAR1-mediated thrombin signaling events... | 0.244183 | 0.102529 |
import os
import subprocess
import threading
import time
import datetime
# Import the GPIO library so python can work with the GPIO pins
import RPi.GPIO as GPIO
# Debug flags
DEBUG_FAN = False
# Debug print
def debug(flag, str):
if flag:
print(str)
# These values need to be provided in the container ... | fanctrl.py |
import os
import subprocess
import threading
import time
import datetime
# Import the GPIO library so python can work with the GPIO pins
import RPi.GPIO as GPIO
# Debug flags
DEBUG_FAN = False
# Debug print
def debug(flag, str):
if flag:
print(str)
# These values need to be provided in the container ... | 0.205695 | 0.078254 |
from cwbot.modules.BaseDungeonModule import BaseDungeonModule
from cwbot.common.exceptions import FatalError
from cwbot.util.textProcessing import intOrFloatToString
from cwbot.common.kmailContainer import Kmail
from collections import defaultdict
import re
import random
import copy
def _nameKey(x):
re... | cwbot/modules/oldcw/DreadPointsModule.py | from cwbot.modules.BaseDungeonModule import BaseDungeonModule
from cwbot.common.exceptions import FatalError
from cwbot.util.textProcessing import intOrFloatToString
from cwbot.common.kmailContainer import Kmail
from collections import defaultdict
import re
import random
import copy
def _nameKey(x):
re... | 0.463444 | 0.089694 |
"""API for the senlin service."""
from django.views import generic
from openstack_dashboard.api.rest import urls
from openstack_dashboard.api.rest import utils as rest_utils
from senlin_dashboard.api import senlin
from senlin_dashboard.api import utils as api_utils
from senlin_dashboard.cluster.nodes import forms as ... | senlin_dashboard/api/rest/senlin.py | """API for the senlin service."""
from django.views import generic
from openstack_dashboard.api.rest import urls
from openstack_dashboard.api.rest import utils as rest_utils
from senlin_dashboard.api import senlin
from senlin_dashboard.api import utils as api_utils
from senlin_dashboard.cluster.nodes import forms as ... | 0.779532 | 0.143908 |
import unittest
from sumatra.core import _Registry as Registry
class TestRegistry(unittest.TestCase):
def setUp(self):
self.registry = Registry.__new__(Registry) # hack to create new instance for each test
self.registry.__init__()
class ComponentBaseType(object):
required_attribut... | test/unittests/test_core.py | import unittest
from sumatra.core import _Registry as Registry
class TestRegistry(unittest.TestCase):
def setUp(self):
self.registry = Registry.__new__(Registry) # hack to create new instance for each test
self.registry.__init__()
class ComponentBaseType(object):
required_attribut... | 0.659515 | 0.356979 |
import re
import time
def readTrainTxt(filename):
f = open(filename, "r+")
positive = []
negative = []
for line in f.readlines():
lineContent = line.split("\t")
if(len(lineContent) != 2):
continue
if lineContent[0] == "1":
positive.append(lineContent[1].... | PRNN/Assignment/Assignment1/textClassification.py | import re
import time
def readTrainTxt(filename):
f = open(filename, "r+")
positive = []
negative = []
for line in f.readlines():
lineContent = line.split("\t")
if(len(lineContent) != 2):
continue
if lineContent[0] == "1":
positive.append(lineContent[1].... | 0.374676 | 0.245221 |
import os
import json
import boto3
import sys
import datetime
import hashlib
import secrets
import time
table_name = os.environ['DDB_TABLE']
ddb_client = boto3.client('dynamodb')
ses_client = boto3.client('ses')
sns_client = boto3.client('sns')
sender = os.environ['SENDER']
unsubscribe_url = os.environ['UNSUBSCRIBE_U... | functions/create_user.py | import os
import json
import boto3
import sys
import datetime
import hashlib
import secrets
import time
table_name = os.environ['DDB_TABLE']
ddb_client = boto3.client('dynamodb')
ses_client = boto3.client('ses')
sns_client = boto3.client('sns')
sender = os.environ['SENDER']
unsubscribe_url = os.environ['UNSUBSCRIBE_U... | 0.153137 | 0.070816 |
import Doberman
import datetime
from socket import getfqdn
import time
import requests
__all__ = 'Database'.split()
dtnow = Doberman.utils.dtnow
class Database(object):
"""
Class to handle interfacing with the Doberman database
"""
def __init__(self, mongo_client, experiment_name=None):
sel... | Doberman/Database.py | import Doberman
import datetime
from socket import getfqdn
import time
import requests
__all__ = 'Database'.split()
dtnow = Doberman.utils.dtnow
class Database(object):
"""
Class to handle interfacing with the Doberman database
"""
def __init__(self, mongo_client, experiment_name=None):
sel... | 0.63477 | 0.163679 |
import socket
import struct
from unittest import mock
from oslo_config import cfg
from oslo_config import fixture as oslo_fixture
from octavia.cmd import health_checker
from octavia.tests.common import utils as test_utils
from octavia.tests.unit import base
CONF = cfg.CONF
class TestHealthCheckerCMD(base.TestCase)... | octavia/tests/unit/cmd/test_health_checker.py | import socket
import struct
from unittest import mock
from oslo_config import cfg
from oslo_config import fixture as oslo_fixture
from octavia.cmd import health_checker
from octavia.tests.common import utils as test_utils
from octavia.tests.unit import base
CONF = cfg.CONF
class TestHealthCheckerCMD(base.TestCase)... | 0.539711 | 0.31563 |
import logging
import os
import subprocess
import uuid
import time
import docker
import pytest
from sklearn import svm, datasets
from bentoml.deployment.utils import ensure_docker_available_or_raise
from bentoml.configuration import PREV_PYPI_RELEASE_VERSION
from bentoml.utils.tempdir import TempDirectory
from e2e_te... | e2e_tests/conftest.py | import logging
import os
import subprocess
import uuid
import time
import docker
import pytest
from sklearn import svm, datasets
from bentoml.deployment.utils import ensure_docker_available_or_raise
from bentoml.configuration import PREV_PYPI_RELEASE_VERSION
from bentoml.utils.tempdir import TempDirectory
from e2e_te... | 0.356111 | 0.182335 |
from __future__ import absolute_import
from threading import Thread
from typing import List
import numpy as np
from .control import ControlThread, Controls
from .image import ImageThread
from .location import LocationThread
class DroneServerThread(Thread):
"""Custom thread class containing everything needed for... | communication/src/drone/__init__.py | from __future__ import absolute_import
from threading import Thread
from typing import List
import numpy as np
from .control import ControlThread, Controls
from .image import ImageThread
from .location import LocationThread
class DroneServerThread(Thread):
"""Custom thread class containing everything needed for... | 0.863679 | 0.249185 |
import nipype.pipeline.engine as pe
from spynoza.io.bids import collect_data
from IPython import embed
from spynoza.io.bids import BIDSGrabber
from nipype.interfaces import mipav
from nipype.interfaces import fsl
from nipype.interfaces import io as nio
from nipype.interfaces import utility as niu
from spynoza.utils imp... | src/scripts/mipav_hybrid.py | import nipype.pipeline.engine as pe
from spynoza.io.bids import collect_data
from IPython import embed
from spynoza.io.bids import BIDSGrabber
from nipype.interfaces import mipav
from nipype.interfaces import fsl
from nipype.interfaces import io as nio
from nipype.interfaces import utility as niu
from spynoza.utils imp... | 0.295027 | 0.186373 |
from typing import Any, Dict, List, Optional
from functools import lru_cache
import datetime
import json
import re
from jinja2 import Environment, FileSystemLoader
import praw
import requests
from bot import *
import daily_markov
NWS_FORECAST_URL = 'https://api.weather.gov/gridpoints/SEW/123,68/forecast'
class Em... | daily_post.py | from typing import Any, Dict, List, Optional
from functools import lru_cache
import datetime
import json
import re
from jinja2 import Environment, FileSystemLoader
import praw
import requests
from bot import *
import daily_markov
NWS_FORECAST_URL = 'https://api.weather.gov/gridpoints/SEW/123,68/forecast'
class Em... | 0.628179 | 0.200989 |
import tea
'''
Want to see if Wrestling is correlated with greater athlete Weight
than Swimming, and if Female athletes have a lower Weight than
Male athletes.
'''
data_path = "./athlete_events_cleaned_weight.csv"
variables = [
{
'name': 'ID',
'data type': 'ratio'
},
{
'name': '... | examples/Olympics/olympics_tea.py | import tea
'''
Want to see if Wrestling is correlated with greater athlete Weight
than Swimming, and if Female athletes have a lower Weight than
Male athletes.
'''
data_path = "./athlete_events_cleaned_weight.csv"
variables = [
{
'name': 'ID',
'data type': 'ratio'
},
{
'name': '... | 0.390243 | 0.400339 |
import random
from typing import List
import pytest
from entities import Window, Option, Session, GeneratedWindow, Request
from exceptions import InvalidSelectedOptionError
from lottus import LottusContext, SessionProvider, GeneratedWindowProvider, Lottus
from processors import default_processor
def create_lottus_a... | test_lottus.py | import random
from typing import List
import pytest
from entities import Window, Option, Session, GeneratedWindow, Request
from exceptions import InvalidSelectedOptionError
from lottus import LottusContext, SessionProvider, GeneratedWindowProvider, Lottus
from processors import default_processor
def create_lottus_a... | 0.727395 | 0.18374 |
from unittest import mock
from fastapi import FastAPI
from fastapi.testclient import TestClient
from authx.routers import get_auth_router
from tests.utils import (
ACCESS_COOKIE_NAME,
REFRESH_COOKIE_NAME,
MockAuthBackend,
mock_get_authenticated_user,
private_key,
public_key,
)
app = FastAPI()... | tests/routers/test_routers_auth.py | from unittest import mock
from fastapi import FastAPI
from fastapi.testclient import TestClient
from authx.routers import get_auth_router
from tests.utils import (
ACCESS_COOKIE_NAME,
REFRESH_COOKIE_NAME,
MockAuthBackend,
mock_get_authenticated_user,
private_key,
public_key,
)
app = FastAPI()... | 0.44553 | 0.236235 |
from flask import Flask, request, jsonify
from datetime import datetime
from pymodm import connect, MongoModel, fields
import PIL
connect("mongodb+srv://brad_howard:<EMAIL>"
"/final_database?retryWrites=true&w=majority")
app = Flask(__name__)
class Patient(MongoModel):
mr_number = fields.IntegerField(... | project_server.py |
from flask import Flask, request, jsonify
from datetime import datetime
from pymodm import connect, MongoModel, fields
import PIL
connect("mongodb+srv://brad_howard:<EMAIL>"
"/final_database?retryWrites=true&w=majority")
app = Flask(__name__)
class Patient(MongoModel):
mr_number = fields.IntegerField(... | 0.744099 | 0.344857 |
from flask import Flask, abort, make_response, render_template, url_for
from io import BytesIO
import openslide
from openslide import ImageSlide, open_slide
from openslide.deepzoom import DeepZoomGenerator
from optparse import OptionParser
import re
from unicodedata import normalize
DEEPZOOM_SLIDE = None
DEEPZOOM_FOR... | python_scribbles/slideServer.py |
from flask import Flask, abort, make_response, render_template, url_for
from io import BytesIO
import openslide
from openslide import ImageSlide, open_slide
from openslide.deepzoom import DeepZoomGenerator
from optparse import OptionParser
import re
from unicodedata import normalize
DEEPZOOM_SLIDE = None
DEEPZOOM_FOR... | 0.500488 | 0.08772 |
from jaxline import base_config
from ml_collections import config_dict
def get_config(debug: bool = False) -> config_dict.ConfigDict:
"""Get Jaxline experiment config."""
config = base_config.get_base_config()
config.random_seed = 42
# E.g. '/data/pretrained_models/k0_seed100' (and set k_fold_split_id=0, belo... | ogb_lsc/mag/config.py | from jaxline import base_config
from ml_collections import config_dict
def get_config(debug: bool = False) -> config_dict.ConfigDict:
"""Get Jaxline experiment config."""
config = base_config.get_base_config()
config.random_seed = 42
# E.g. '/data/pretrained_models/k0_seed100' (and set k_fold_split_id=0, belo... | 0.59843 | 0.080683 |
import pytest
from grizzly_extras.arguments import split_value, get_unsupported_arguments, parse_arguments, unquote
@pytest.mark.parametrize('separator', ['|', ', '])
def test_split_value(separator: str) -> None:
assert split_value(f'hello world {separator} foo bar', separator) == ('hello world', 'foo bar',)
... | tests/test_grizzly_extras/test_arguments.py | import pytest
from grizzly_extras.arguments import split_value, get_unsupported_arguments, parse_arguments, unquote
@pytest.mark.parametrize('separator', ['|', ', '])
def test_split_value(separator: str) -> None:
assert split_value(f'hello world {separator} foo bar', separator) == ('hello world', 'foo bar',)
... | 0.68458 | 0.744958 |
import asyncio
import os
import time
import re
from subprocess import Popen, PIPE, check_output
from luma.core.interface.serial import i2c
from luma.core.render import canvas
from luma.oled.device import ssd1306
from PIL import ImageFont
from RPi import GPIO
class SSD1306InfoButton:
def __init__(self, info_btn_p... | ssd1306_infobutton/__init__.py | import asyncio
import os
import time
import re
from subprocess import Popen, PIPE, check_output
from luma.core.interface.serial import i2c
from luma.core.render import canvas
from luma.oled.device import ssd1306
from PIL import ImageFont
from RPi import GPIO
class SSD1306InfoButton:
def __init__(self, info_btn_p... | 0.389779 | 0.09899 |
from tkinter import (BOTH, FLAT, GROOVE, SUNKEN, Button, Frame, Label, Tk, Y,
messagebox)
import requests
from numpy import asarray_chkfinite, sum
from wincap import WindowCapture
url = "INSERT_WEBHOOK_HERE"
data = {
"username": "Queue Notifier",
"embeds": [
{
... | app.py | from tkinter import (BOTH, FLAT, GROOVE, SUNKEN, Button, Frame, Label, Tk, Y,
messagebox)
import requests
from numpy import asarray_chkfinite, sum
from wincap import WindowCapture
url = "INSERT_WEBHOOK_HERE"
data = {
"username": "Queue Notifier",
"embeds": [
{
... | 0.323808 | 0.114097 |
from seatsio.domain import EventObjectInfo, Channel, SocialDistancingRuleset
from tests.seatsioClientTest import SeatsioClientTest
from tests.util.asserts import assert_that
class BookObjectsTest(SeatsioClientTest):
def test(self):
chart_key = self.create_test_chart()
event = self.client.events.c... | tests/events/bookObjectsTest.py | from seatsio.domain import EventObjectInfo, Channel, SocialDistancingRuleset
from tests.seatsioClientTest import SeatsioClientTest
from tests.util.asserts import assert_that
class BookObjectsTest(SeatsioClientTest):
def test(self):
chart_key = self.create_test_chart()
event = self.client.events.c... | 0.734596 | 0.408277 |
import numpy as np
def color_gaps(plot, model, ylim=None, label=False, color_sample_gaps=True):
""" Colors the energies of the band-gaps of the model
Parameters
----------
plot : matplotlib object
plot to add bandgaps
model : Model
model to get band-data from
ylim : array_like... | waveprop/plotting/plot_utils.py | import numpy as np
def color_gaps(plot, model, ylim=None, label=False, color_sample_gaps=True):
""" Colors the energies of the band-gaps of the model
Parameters
----------
plot : matplotlib object
plot to add bandgaps
model : Model
model to get band-data from
ylim : array_like... | 0.931587 | 0.648355 |
import psycopg2
import time
from action.lead_actions.case_one import *
from connection.connection_variables import pg_user, \
pg_password, \
pg_host, \
pg_port, \
pg_database
from parameters.lead.case_1.lead_params import *
"""Connect to database using connection variables"""
connection = psycopg2.conn... | lead_result_validation/case_one_validation/lead_validation.py | import psycopg2
import time
from action.lead_actions.case_one import *
from connection.connection_variables import pg_user, \
pg_password, \
pg_host, \
pg_port, \
pg_database
from parameters.lead.case_1.lead_params import *
"""Connect to database using connection variables"""
connection = psycopg2.conn... | 0.209955 | 0.058025 |
# Things to fix
'''
Nothing yet :)
'''
# Importing dependencies
import numpy as np
# Code
class centroid:
def __init__(self, pos):
self.pos = pos
self.oldpos = []
self.reset()
self.labels = []
def reset(self):
self.assigned = []
self.got_assigned = False
def... | clustering/centroidspace.py | # Things to fix
'''
Nothing yet :)
'''
# Importing dependencies
import numpy as np
# Code
class centroid:
def __init__(self, pos):
self.pos = pos
self.oldpos = []
self.reset()
self.labels = []
def reset(self):
self.assigned = []
self.got_assigned = False
def... | 0.488771 | 0.358521 |
import numpy as np
def compute_distances(X, k, n_data, centroids):
distances = np.zeros((n_data, k))
for idx_centroids in range(k):
dist = np.sqrt(np.sum((X - centroids[idx_centroids]) ** 2, axis=1))
distances[:, idx_centroids] = dist
return distances
def init_centroid(X, k, n_data):
... | chapter19/Q8.py | import numpy as np
def compute_distances(X, k, n_data, centroids):
distances = np.zeros((n_data, k))
for idx_centroids in range(k):
dist = np.sqrt(np.sum((X - centroids[idx_centroids]) ** 2, axis=1))
distances[:, idx_centroids] = dist
return distances
def init_centroid(X, k, n_data):
... | 0.440469 | 0.479686 |
import tweepy
import re
import pickle
from tweepy import OAuthHandler
consumer_key = ''
consumer_secret = ''
access_token = ''
access_secret = ''
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_secret)
args = ['facebook']
api = tweepy.api(auth, timeout=... | twitter_semantic.py |
import tweepy
import re
import pickle
from tweepy import OAuthHandler
consumer_key = ''
consumer_secret = ''
access_token = ''
access_secret = ''
auth = OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_secret)
args = ['facebook']
api = tweepy.api(auth, timeout=... | 0.166167 | 0.08698 |
import keras
import numpy as np
import matplotlib.image as mpimg
class DataGenerator(keras.utils.Sequence):
'Generates data for Keras'
def __init__(self, list_IDs, labels, data,batch_size=128, dim=(160,320), n_channels=3, shuffle=True):
'Initialization'
self.dim = dim
self.batch_size =... | data_generator.py | import keras
import numpy as np
import matplotlib.image as mpimg
class DataGenerator(keras.utils.Sequence):
'Generates data for Keras'
def __init__(self, list_IDs, labels, data,batch_size=128, dim=(160,320), n_channels=3, shuffle=True):
'Initialization'
self.dim = dim
self.batch_size =... | 0.478041 | 0.33066 |
class MethodDescriptor:
def __init__(self):
self.parameter_types = []
self.return_type = ""
def add_parameter_type(self, t):
self.parameter_types.append(t)
class MethodDescriptorParser:
def __init__(self):
self.raw = ""
self.offset = 0
self.parsed = None
... | runtime_data/heap/method_descriptor.py | class MethodDescriptor:
def __init__(self):
self.parameter_types = []
self.return_type = ""
def add_parameter_type(self, t):
self.parameter_types.append(t)
class MethodDescriptorParser:
def __init__(self):
self.raw = ""
self.offset = 0
self.parsed = None
... | 0.632503 | 0.152127 |
import unittest
import os
from jcast.annots import ReadAnnotations
class AnnotationTest(unittest.TestCase):
"""
Test cases involving reading genome sequence and references
"""
def setUp(self):
"""
:return:
"""
global test_data_loc, human_gtf_loc, rat_gtf_loc
... | tests/test_gtf.py | import unittest
import os
from jcast.annots import ReadAnnotations
class AnnotationTest(unittest.TestCase):
"""
Test cases involving reading genome sequence and references
"""
def setUp(self):
"""
:return:
"""
global test_data_loc, human_gtf_loc, rat_gtf_loc
... | 0.54577 | 0.512144 |
import json
import pytest
import six
from mock import Mock, patch
from nefertari import json_httpexceptions as jsonex
from nefertari.renderers import _JSONEncoder
class TestJSONHTTPExceptionsModule(object):
def test_includeme(self):
config = Mock()
jsonex.includeme(config)
config.add_vi... | tests/test_json_httpexceptions.py | import json
import pytest
import six
from mock import Mock, patch
from nefertari import json_httpexceptions as jsonex
from nefertari.renderers import _JSONEncoder
class TestJSONHTTPExceptionsModule(object):
def test_includeme(self):
config = Mock()
jsonex.includeme(config)
config.add_vi... | 0.624294 | 0.287165 |
import yfinance as yf
import datetime as dt
import pandas as pd
from pandas_datareader import data as pdr
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.ticker as mticker
import datetime as datetime
import numpy as np
from mplfinance.original_flavor import candlestick_ohlc
from pyla... | Portfolio_Strategies/main_indicators_one_graph.py | import yfinance as yf
import datetime as dt
import pandas as pd
from pandas_datareader import data as pdr
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib.ticker as mticker
import datetime as datetime
import numpy as np
from mplfinance.original_flavor import candlestick_ohlc
from pyla... | 0.202325 | 0.5835 |
import urllib.request
import logging
import configparser
import json
import time
import bz2
import tarfile
import io
# Start our config parser, and read out config file.
# This code is largely required to be as it is for configparser to work
config = configparser.ConfigParser()
config.sections()
# congi... | Downloader/downloader-RAM-intense.py |
import urllib.request
import logging
import configparser
import json
import time
import bz2
import tarfile
import io
# Start our config parser, and read out config file.
# This code is largely required to be as it is for configparser to work
config = configparser.ConfigParser()
config.sections()
# congi... | 0.226356 | 0.081082 |
from math import exp
from typing import Callable
__all__ = ["GorEntry", "gor_update", "gor_configure"]
EPSILON: float = 0.016
RATING_TO_RANK: Callable[[float], float] = lambda rating: rating / 100 + 9
class GorEntry:
rating: float
handicap: float
def __init__(self, rating: float = 1200.0, handicap: flo... | goratings/math/gor.py | from math import exp
from typing import Callable
__all__ = ["GorEntry", "gor_update", "gor_configure"]
EPSILON: float = 0.016
RATING_TO_RANK: Callable[[float], float] = lambda rating: rating / 100 + 9
class GorEntry:
rating: float
handicap: float
def __init__(self, rating: float = 1200.0, handicap: flo... | 0.692954 | 0.595022 |
from __future__ import division
import os, sys
import libtbx.option_parser
from cctbx.development import debug_utils
from cctbx import sgtbx
class space_group_processed_options(libtbx.option_parser.processed_options):
def loop_over_space_groups(self, f, **kwds):
kwds.update(self.options.__dict__)
for sgi in... | cctbx/development/space_group_option_parser.py | from __future__ import division
import os, sys
import libtbx.option_parser
from cctbx.development import debug_utils
from cctbx import sgtbx
class space_group_processed_options(libtbx.option_parser.processed_options):
def loop_over_space_groups(self, f, **kwds):
kwds.update(self.options.__dict__)
for sgi in... | 0.318909 | 0.108425 |
import daft
from causalgraphicalmodels import CausalGraphicalModel
import matplotlib.pyplot as plt
class dag_class:
class create_dag:
def __init__(self):
self.nodes = set()
self.edges = set()
self.coordinates= {}
def __init__(self):
self.nodes = {}
... | quick_dag/dags.py | import daft
from causalgraphicalmodels import CausalGraphicalModel
import matplotlib.pyplot as plt
class dag_class:
class create_dag:
def __init__(self):
self.nodes = set()
self.edges = set()
self.coordinates= {}
def __init__(self):
self.nodes = {}
... | 0.291989 | 0.326137 |
from .config import Config
from .utils import Utils
from .exceptions import PhotofuniaException
class Photofunia:
"""docstring for Photofunia"""
def __init__(self):
self.config = Config()
self.utils = Utils()
def info(self, name):
name = name.replace(' ', '-')
n... | main.py | from .config import Config
from .utils import Utils
from .exceptions import PhotofuniaException
class Photofunia:
"""docstring for Photofunia"""
def __init__(self):
self.config = Config()
self.utils = Utils()
def info(self, name):
name = name.replace(' ', '-')
n... | 0.492676 | 0.091504 |
import os
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import linear_sum_assignment
from scipy.spatial import distance
import data_generator
from model import Generator, Critic
from reg_losses import get_regularization_term
slim = tf.contrib.slim
__eval_step_list__ ... | trainer.py | import os
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import linear_sum_assignment
from scipy.spatial import distance
import data_generator
from model import Generator, Critic
from reg_losses import get_regularization_term
slim = tf.contrib.slim
__eval_step_list__ ... | 0.793266 | 0.278021 |
from math import copysign
from typing import Union
from sidekick.properties import alias, delegate_to, property as property_
from ..linalg import Vec2d
from ..typing import VecLike
from .draw_options import draw, drawb
from .helpers import get_pyxel
# TODO: in the future we should merge camera with DrawOptions
cla... | easymunk/pyxel/camera.py | from math import copysign
from typing import Union
from sidekick.properties import alias, delegate_to, property as property_
from ..linalg import Vec2d
from ..typing import VecLike
from .draw_options import draw, drawb
from .helpers import get_pyxel
# TODO: in the future we should merge camera with DrawOptions
cla... | 0.681091 | 0.380241 |
## @file unittests/pytests/feassemble/TestFIATSimplex.py
## @brief Unit testing of FIATSimplex object.
import unittest
import numpy
from pylith.feassemble.FIATSimplex import FIATSimplex
from pylith.utils.testarray import test_scalararray
# ----------------------------------------------------------------------
class... | unittests/pytests/feassemble/TestFIATSimplex.py |
## @file unittests/pytests/feassemble/TestFIATSimplex.py
## @brief Unit testing of FIATSimplex object.
import unittest
import numpy
from pylith.feassemble.FIATSimplex import FIATSimplex
from pylith.utils.testarray import test_scalararray
# ----------------------------------------------------------------------
class... | 0.680879 | 0.67822 |
import re
import string
import emoji
def preprocess(text):
#remove urls
processed_text = re.sub("http\S+", "", text, flags=re.MULTILINE)
#handle hashtags and usernames
processed_text = re.sub("#", "", processed_text)
processed_text = re.sub("@", "", processed_text)
#rem... | utils.py | import re
import string
import emoji
def preprocess(text):
#remove urls
processed_text = re.sub("http\S+", "", text, flags=re.MULTILINE)
#handle hashtags and usernames
processed_text = re.sub("#", "", processed_text)
processed_text = re.sub("@", "", processed_text)
#rem... | 0.266548 | 0.086093 |
import sys
import xmltodict
import requests
class WrongCountry(Exception):
pass
class Meteoalert(object):
def __init__(self, country, province, language='en-GB'):
self.country = country.lower()
self.province = province
self.language = language
def get_alert(self):
"""Re... | meteoalertapi/meteoalertapi.py | import sys
import xmltodict
import requests
class WrongCountry(Exception):
pass
class Meteoalert(object):
def __init__(self, country, province, language='en-GB'):
self.country = country.lower()
self.province = province
self.language = language
def get_alert(self):
"""Re... | 0.293911 | 0.192501 |
species = {
"Aae" : "Aedes aegypti",
"Aga" : "Anopheles gambiae",
"Ame" : "Apis mellifera",
"Afp" : "Aquilegia formosa x Aquilegia pubescens",
"At" : "Arabidopsis thaliana",
"Bmo" : "Bombyx mori",
"Bt" : "Bos taurus",
"Bfl" : "Branchiostoma floridae",
... | Python/biopsy/identifiers/unigene.py | species = {
"Aae" : "Aedes aegypti",
"Aga" : "Anopheles gambiae",
"Ame" : "Apis mellifera",
"Afp" : "Aquilegia formosa x Aquilegia pubescens",
"At" : "Arabidopsis thaliana",
"Bmo" : "Bombyx mori",
"Bt" : "Bos taurus",
"Bfl" : "Branchiostoma floridae",
... | 0.402157 | 0.451931 |
import pickle
import unittest
from pathlib import Path
from unittest.mock import Mock, patch
import lakshmi.cache as cache
class Cached(cache.Cacheable):
def __init__(self, key, value):
self.key = key
self.value = value
def cache_key(self):
return self.key
@cache.cache(2)
de... | tests/test_cache.py | import pickle
import unittest
from pathlib import Path
from unittest.mock import Mock, patch
import lakshmi.cache as cache
class Cached(cache.Cacheable):
def __init__(self, key, value):
self.key = key
self.value = value
def cache_key(self):
return self.key
@cache.cache(2)
de... | 0.6705 | 0.29604 |
import tensorflow as tf
import keras
import numpy as np
import os
import matplotlib.pyplot as plt
PATH = os.path.join(r'C:\Users\shast\.keras\datasets', 'cats_and_dogs_filtered')
train_dir = os.path.join(PATH, 'train')
validation_dir = os.path.join(PATH, 'validation')
train_cats_dir = os.path.join(train_dir, ... | bottleneck_vgg.py | import tensorflow as tf
import keras
import numpy as np
import os
import matplotlib.pyplot as plt
PATH = os.path.join(r'C:\Users\shast\.keras\datasets', 'cats_and_dogs_filtered')
train_dir = os.path.join(PATH, 'train')
validation_dir = os.path.join(PATH, 'validation')
train_cats_dir = os.path.join(train_dir, ... | 0.482917 | 0.219473 |
import re
from math import inf
SPELL_COST = {1: 53, 2: 73, 3: 113, 4: 173, 5: 229}
class State:
def __init__(self, hp, mana, boss_hp, boss_dmg, hard=False):
self.hp = hp
self.mana = mana
self.boss_hp = boss_hp
self.boss_dmg = boss_dmg
self.shield = 0
self.poison = ... | day22/script1.py | import re
from math import inf
SPELL_COST = {1: 53, 2: 73, 3: 113, 4: 173, 5: 229}
class State:
def __init__(self, hp, mana, boss_hp, boss_dmg, hard=False):
self.hp = hp
self.mana = mana
self.boss_hp = boss_hp
self.boss_dmg = boss_dmg
self.shield = 0
self.poison = ... | 0.443359 | 0.305374 |
import math
from collections import namedtuple
from roboticstoolbox.mobile import PlannerBase
import matplotlib.pyplot as plt
import numpy as np
from spatialmath import *
from spatialmath import base
def left_straight_left(alpha, beta, d):
sa = math.sin(alpha)
sb = math.sin(beta)
ca = math.cos(alpha)
... | roboticstoolbox/mobile/DubinsPlanner.py | import math
from collections import namedtuple
from roboticstoolbox.mobile import PlannerBase
import matplotlib.pyplot as plt
import numpy as np
from spatialmath import *
from spatialmath import base
def left_straight_left(alpha, beta, d):
sa = math.sin(alpha)
sb = math.sin(beta)
ca = math.cos(alpha)
... | 0.537041 | 0.397178 |
from cmath import pi, tan
from fractions import Fraction
def norm_or_comp():
"""
Returns a boolean value based on user input.
True will be returned if 'complex' is given.
False will be returned if 'normalized' is given.
Use to determine a normalized or complex value.
"""
while True:
... | impydance.py | from cmath import pi, tan
from fractions import Fraction
def norm_or_comp():
"""
Returns a boolean value based on user input.
True will be returned if 'complex' is given.
False will be returned if 'normalized' is given.
Use to determine a normalized or complex value.
"""
while True:
... | 0.781414 | 0.440229 |
import logging
from typing import Dict, Optional
from qtoggleserver import persist
from qtoggleserver.core import ports as core_ports
from qtoggleserver.core.typing import GenericJSONDict, GenericJSONList, NullablePortValue, PortValue, PortValueChoices
logger = logging.getLogger(__name__)
_vport_args: Dict[str, Ge... | qtoggleserver/core/vports.py | import logging
from typing import Dict, Optional
from qtoggleserver import persist
from qtoggleserver.core import ports as core_ports
from qtoggleserver.core.typing import GenericJSONDict, GenericJSONList, NullablePortValue, PortValue, PortValueChoices
logger = logging.getLogger(__name__)
_vport_args: Dict[str, Ge... | 0.859457 | 0.169578 |
import urlparse
from gunicorn.util import normalize_name
class HttpParserError(Exception):
""" error raised when parsing fail"""
class HttpParser(object):
def __init__(self):
self.status = ""
self.headers = []
self.headers_dict = {}
self.raw_version = "HTTP/1.0"
... | gunicorn/http/parser.py |
import urlparse
from gunicorn.util import normalize_name
class HttpParserError(Exception):
""" error raised when parsing fail"""
class HttpParser(object):
def __init__(self):
self.status = ""
self.headers = []
self.headers_dict = {}
self.raw_version = "HTTP/1.0"
... | 0.552298 | 0.151938 |
import logging
import sys
from itertools import combinations
from os.path import join
import matplotlib.pyplot as plt
import pandas as pd
import xarray as xr
from src.parameters import FIGURE_DIR, PROCESSED_DATA_DIR, USE_LIKELIHOODS
from src.visualization import (compare_jaccard_similarity_of_replays,
... | scripts/create_figures.py | import logging
import sys
from itertools import combinations
from os.path import join
import matplotlib.pyplot as plt
import pandas as pd
import xarray as xr
from src.parameters import FIGURE_DIR, PROCESSED_DATA_DIR, USE_LIKELIHOODS
from src.visualization import (compare_jaccard_similarity_of_replays,
... | 0.486819 | 0.256273 |
from fastapi.testclient import TestClient
from nohossat_cas_pratique.main import app
client = TestClient(app)
HTTP_AUTH = "Basic <KEY>
PATH_TRAIN = "/train"
def test_infer():
response = client.post("/",
json={"msg": ["J'ai adoré ce restaurant", "J'ai détesté cet hôtel."]})
assert... | tests/test_main.py | from fastapi.testclient import TestClient
from nohossat_cas_pratique.main import app
client = TestClient(app)
HTTP_AUTH = "Basic <KEY>
PATH_TRAIN = "/train"
def test_infer():
response = client.post("/",
json={"msg": ["J'ai adoré ce restaurant", "J'ai détesté cet hôtel."]})
assert... | 0.631026 | 0.399226 |
from django.views.generic import ListView, DetailView
from django.views.generic.edit import FormView
from rest_framework import generics, mixins
from django.utils.decorators import method_decorator
from fcuser.decoraters import admin_required
from order.forms import RegisterForm as OrderRegisterForm
from .forms import ... | product/views.py | from django.views.generic import ListView, DetailView
from django.views.generic.edit import FormView
from rest_framework import generics, mixins
from django.utils.decorators import method_decorator
from fcuser.decoraters import admin_required
from order.forms import RegisterForm as OrderRegisterForm
from .forms import ... | 0.579162 | 0.139866 |
import configparser
import copy
import os
import sys
from tempfile import TemporaryDirectory
import unittest
from screwdrivercd.version import cli
from screwdrivercd.version.version_types import versioners
class TestCLI(unittest.TestCase):
cwd = None
orig_argv = None
orig_environ =None
tempdir = None
... | tests/test_cli.py | import configparser
import copy
import os
import sys
from tempfile import TemporaryDirectory
import unittest
from screwdrivercd.version import cli
from screwdrivercd.version.version_types import versioners
class TestCLI(unittest.TestCase):
cwd = None
orig_argv = None
orig_environ =None
tempdir = None
... | 0.192501 | 0.05328 |
import unittest
import numpy as np
import pandas as pd
from jurity.fairness import BinaryFairnessMetrics
from jurity.utils import InputShapeError
class TestBinaryFairness(unittest.TestCase):
def test_stat_parity_normal_np(self):
# Data
y_pred = np.array([1, 1, 0, 1, 0, 0])
is_member =... | tests/test_fairness_binary.py |
import unittest
import numpy as np
import pandas as pd
from jurity.fairness import BinaryFairnessMetrics
from jurity.utils import InputShapeError
class TestBinaryFairness(unittest.TestCase):
def test_stat_parity_normal_np(self):
# Data
y_pred = np.array([1, 1, 0, 1, 0, 0])
is_member =... | 0.762778 | 0.677749 |
import os
import numpy as np
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras.layers import Input, Dense, Reshape, Flatten, BatchNormalization
from keras.layers.advanced_activations import LeakyReLU
from keras.models import Sequential, Model
from keras.optimizers import Adam
if not os.path... | source.py | import os
import numpy as np
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras.layers import Input, Dense, Reshape, Flatten, BatchNormalization
from keras.layers.advanced_activations import LeakyReLU
from keras.models import Sequential, Model
from keras.optimizers import Adam
if not os.path... | 0.780788 | 0.45647 |
import json
import logging
import os
import re
import sys
import traceback
from argparse import ArgumentParser, Namespace
from collections import defaultdict
from math import ceil
from pathlib import Path
from typing import Dict, List, Optional
from analysis.src.python.evaluation.common.args_util import EvaluationRunT... | analysis/src/python/evaluation/qodana/dataset_labeling.py | import json
import logging
import os
import re
import sys
import traceback
from argparse import ArgumentParser, Namespace
from collections import defaultdict
from math import ceil
from pathlib import Path
from typing import Dict, List, Optional
from analysis.src.python.evaluation.common.args_util import EvaluationRunT... | 0.498291 | 0.157234 |
import torch
from net import *
import numpy as np
from collections import deque
from optim import Ranger
from optim_v2 import Optim
import random
import time
def soft_update(target, source, tau=0.001):
for target_param, param in zip(target.parameters(), source.parameters()):
target_param.data.copy_(target_... | agent.py | import torch
from net import *
import numpy as np
from collections import deque
from optim import Ranger
from optim_v2 import Optim
import random
import time
def soft_update(target, source, tau=0.001):
for target_param, param in zip(target.parameters(), source.parameters()):
target_param.data.copy_(target_... | 0.698432 | 0.244059 |
from pathlib import Path
from pytorch_lightning.callbacks import Callback
import torch
import numpy as np
import matplotlib.pyplot as plt
from diameter_learning.transforms import ControlPointPostprocess
class VisualizerCallback(Callback):
def __init__(
self, result_path: Path,
get_pred: ca... | diameter_learning/handlers/visualizers.py | from pathlib import Path
from pytorch_lightning.callbacks import Callback
import torch
import numpy as np
import matplotlib.pyplot as plt
from diameter_learning.transforms import ControlPointPostprocess
class VisualizerCallback(Callback):
def __init__(
self, result_path: Path,
get_pred: ca... | 0.900788 | 0.470007 |
# ------------------------------------------------------------------------------
from filegetter import PDBFile
from urllib.error import URLError
from re import search
from itertools import groupby
from operator import itemgetter
from utils import get_hexagon_midpoints
from utils import LonePairs
from utils i... | overall-counts-YABBI-2019/utils/ma.py | # ------------------------------------------------------------------------------
from filegetter import PDBFile
from urllib.error import URLError
from re import search
from itertools import groupby
from operator import itemgetter
from utils import get_hexagon_midpoints
from utils import LonePairs
from utils i... | 0.414899 | 0.236637 |
import codecs
import random
from collections import defaultdict
from menu import Menu
class Quizz(Menu):
def __init__(self, game):
Menu.__init__(self, game)
self.game = game
self.points = {}
self.questions = None
self.read_points()
self.state=0
self.fail = Fal... | quizz.py | import codecs
import random
from collections import defaultdict
from menu import Menu
class Quizz(Menu):
def __init__(self, game):
Menu.__init__(self, game)
self.game = game
self.points = {}
self.questions = None
self.read_points()
self.state=0
self.fail = Fal... | 0.179602 | 0.101367 |
__all__ = (
# keywords
"ANY_KEYWORD",
"ALGORITHM",
"AND",
"ANNOTATION",
"BLOCK",
"BREAK",
"CLASS",
"CONNECT",
"CONNECTOR",
"CONSTANT",
"CONSTRAINEDBY",
"DER",
"DISCRETE",
"EACH",
"ELSE",
"ELSEIF",
"ELSEWHEN",
"ENCAPSULATED",
"END",
"ENU... | modelica_language/parsers/syntax/__init__.py | __all__ = (
# keywords
"ANY_KEYWORD",
"ALGORITHM",
"AND",
"ANNOTATION",
"BLOCK",
"BREAK",
"CLASS",
"CONNECT",
"CONNECTOR",
"CONSTANT",
"CONSTRAINEDBY",
"DER",
"DISCRETE",
"EACH",
"ELSE",
"ELSEIF",
"ELSEWHEN",
"ENCAPSULATED",
"END",
"ENU... | 0.447219 | 0.209793 |
from copy import deepcopy
from unittest import TestCase
from telegram.types.message import Message, MessageForwardInfo, MessageSenderType
from telegram.types.message_content import MessageText
message_base = {
'@type': 'message',
'id': 166121701376,
'sender': {'@type': 'messageSenderUser', 'user_id': 1394... | tests/test_types/test_message.py | from copy import deepcopy
from unittest import TestCase
from telegram.types.message import Message, MessageForwardInfo, MessageSenderType
from telegram.types.message_content import MessageText
message_base = {
'@type': 'message',
'id': 166121701376,
'sender': {'@type': 'messageSenderUser', 'user_id': 1394... | 0.542863 | 0.186929 |
from __future__ import annotations
from typing import Protocol, TYPE_CHECKING, TypeVar
if TYPE_CHECKING:
from volga.format import Format
RT = TypeVar("RT")
class supportsDeserialization(Protocol):
"""This protocol defines methods to be implemented by data fields
or data formats so they can be deserial... | volga/protocols.py | from __future__ import annotations
from typing import Protocol, TYPE_CHECKING, TypeVar
if TYPE_CHECKING:
from volga.format import Format
RT = TypeVar("RT")
class supportsDeserialization(Protocol):
"""This protocol defines methods to be implemented by data fields
or data formats so they can be deserial... | 0.915205 | 0.534855 |
from .utils import *
class DoubletInfo:
"""
Holds information about doublet for a given spacepoint when it is considered as the middle spacepoint.
Output of the doubletCounting step write there
"""
def __init__(self, nbSpacepoints):
# number of inner doublet (other spacepoint has a smalle... | src/hepqpr/qallse/seeding/storage.py | from .utils import *
class DoubletInfo:
"""
Holds information about doublet for a given spacepoint when it is considered as the middle spacepoint.
Output of the doubletCounting step write there
"""
def __init__(self, nbSpacepoints):
# number of inner doublet (other spacepoint has a smalle... | 0.790934 | 0.518912 |
# Copyright (c) 2021, 2022 Oracle and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
from typing import Any, Optional, Union
import oci.data_science.models as data_science_models
from ads.common.oci_datascience import OCIDataScienceMixin
fro... | ads/model/deployment/model_deployment_properties.py |
# Copyright (c) 2021, 2022 Oracle and/or its affiliates.
# Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl/
from typing import Any, Optional, Union
import oci.data_science.models as data_science_models
from ads.common.oci_datascience import OCIDataScienceMixin
fro... | 0.904469 | 0.370225 |
import copy as cp
from skmultiflow.classification.lazy.knn_adwin import KNNAdwin
from skmultiflow.core.base import StreamModel
from skmultiflow.drift_detection.adwin import ADWIN
from skmultiflow.core.utils.utils import *
class OzaBaggingAdwin(StreamModel):
""" OzaBagging Classifier with ADWIN change detector
... | src/skmultiflow/classification/meta/oza_bagging_adwin.py | import copy as cp
from skmultiflow.classification.lazy.knn_adwin import KNNAdwin
from skmultiflow.core.base import StreamModel
from skmultiflow.drift_detection.adwin import ADWIN
from skmultiflow.core.utils.utils import *
class OzaBaggingAdwin(StreamModel):
""" OzaBagging Classifier with ADWIN change detector
... | 0.725746 | 0.57075 |
from . import db
from contextlib import contextmanager
'''
Column | Type | Collation | Nullable | Default
----------------------+-------------------------+-----------+----------+---------
name | character varying(255) | | |
instance_id | ... | voice_api/models/agents.py | from . import db
from contextlib import contextmanager
'''
Column | Type | Collation | Nullable | Default
----------------------+-------------------------+-----------+----------+---------
name | character varying(255) | | |
instance_id | ... | 0.437343 | 0.268592 |
import re
def read_file(file_ish, encoding='utf8', errors='replace'):
""" Read and return string contents in `file_ish`
Parameters
----------
file_ish : str or file-like
String giving filename or file-like object implementing ``read``
method.
encoding : str
Text encoding o... | rnbgrader/nbparser.py | import re
def read_file(file_ish, encoding='utf8', errors='replace'):
""" Read and return string contents in `file_ish`
Parameters
----------
file_ish : str or file-like
String giving filename or file-like object implementing ``read``
method.
encoding : str
Text encoding o... | 0.735547 | 0.439988 |
import command_system
import db
import re
def next(vk_id, body):
if body in ('1', '2'):
return None, None
if not re.match("^[0-9]+$", body.strip()):
return None, None
studnum = 0
try:
studnum = int(body)
if len(body) not in range(7,9):
return 'В номере с... | commands/st2_input.py | import command_system
import db
import re
def next(vk_id, body):
if body in ('1', '2'):
return None, None
if not re.match("^[0-9]+$", body.strip()):
return None, None
studnum = 0
try:
studnum = int(body)
if len(body) not in range(7,9):
return 'В номере с... | 0.066372 | 0.18188 |
import numpy as np
import random
import math
from scipy import signal
class RoadGenerator():
def __init__(self):
self.L = 300 # Length of Road Profile (m)
self.B = 0.1 # Sampling Interval (m)
self.dn = 1/self.L # Frequency Band (1/m)
self.n0 = 0.1 # Spatial Freq... | road_generator.py | import numpy as np
import random
import math
from scipy import signal
class RoadGenerator():
def __init__(self):
self.L = 300 # Length of Road Profile (m)
self.B = 0.1 # Sampling Interval (m)
self.dn = 1/self.L # Frequency Band (1/m)
self.n0 = 0.1 # Spatial Freq... | 0.624523 | 0.376279 |
import logging
import tempfile
import sys
import shutil
import os
import pathlib
import fire
from pywhlobf.prep import extract_tags, unzip_wheel, locate_py_files
from pywhlobf.build import build_py_files_inplace
from pywhlobf.post import remove_source_files, generate_whl_name, repack_whl
logging.basicConfig(format='... | pywhlobf/cli.py | import logging
import tempfile
import sys
import shutil
import os
import pathlib
import fire
from pywhlobf.prep import extract_tags, unzip_wheel, locate_py_files
from pywhlobf.build import build_py_files_inplace
from pywhlobf.post import remove_source_files, generate_whl_name, repack_whl
logging.basicConfig(format='... | 0.359701 | 0.1526 |
from AccessControl.unauthorized import Unauthorized
from plone import api
from plone.app.testing import setRoles
from plone.app.testing import SITE_OWNER_NAME
from plone.app.testing import SITE_OWNER_PASSWORD
from plone.app.testing import TEST_USER_ID
from plone.dexterity.interfaces import IDexterityFTI
from plone.test... | docs/testing/_snippets/test_ct_testing_item.py | from AccessControl.unauthorized import Unauthorized
from plone import api
from plone.app.testing import setRoles
from plone.app.testing import SITE_OWNER_NAME
from plone.app.testing import SITE_OWNER_PASSWORD
from plone.app.testing import TEST_USER_ID
from plone.dexterity.interfaces import IDexterityFTI
from plone.test... | 0.62223 | 0.365259 |
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate... | benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_heteroFair/cmp_gcc/power.py | power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate... | 0.592784 | 0.316026 |
import error
class Op():
def __init__(self, op, left, right):
self.op = op
self.left = left
self.right = right
class Func():
def __init__(self, method, parameters, loc=None, builtin=False, returns=False):
self.loc = loc
self.builtin = builtin
self.method = metho... | tree.py | import error
class Op():
def __init__(self, op, left, right):
self.op = op
self.left = left
self.right = right
class Func():
def __init__(self, method, parameters, loc=None, builtin=False, returns=False):
self.loc = loc
self.builtin = builtin
self.method = metho... | 0.509276 | 0.144209 |
def _get_system_feature(feature):
if feature == "fans":
return (
"Fan Location Present Speed of max Redundant Partner Hot-pluggable\n"
"--- -------- ------- ----- ------ --------- ------- -------------\n"
"#1 SYSTEM Yes NORMAL 13% ... | tests/mocks.py | def _get_system_feature(feature):
if feature == "fans":
return (
"Fan Location Present Speed of max Redundant Partner Hot-pluggable\n"
"--- -------- ------- ----- ------ --------- ------- -------------\n"
"#1 SYSTEM Yes NORMAL 13% ... | 0.588653 | 0.113481 |
import re
import upkica
class Profiles(upkica.core.Common):
def __init__(self, logger, storage):
try:
super(Profiles, self).__init__(logger)
except Exception as err:
raise Exception(err)
self._storage = storage
try:
# Detect all profi... | upkica/utils/profiles.py |
import re
import upkica
class Profiles(upkica.core.Common):
def __init__(self, logger, storage):
try:
super(Profiles, self).__init__(logger)
except Exception as err:
raise Exception(err)
self._storage = storage
try:
# Detect all profi... | 0.430387 | 0.116387 |
import astropy.units as u
from astropy.io import fits
from astropy.table import Table
import numpy as np
from astropy.coordinates.angle_utilities import angular_separation
from irf.collection_area import collection_area
from irf.energy_dispersion import energy_migration
from irf.gadf.hdus import add_meta_information_to... | irf/gadf/response.py | import astropy.units as u
from astropy.io import fits
from astropy.table import Table
import numpy as np
from astropy.coordinates.angle_utilities import angular_separation
from irf.collection_area import collection_area
from irf.energy_dispersion import energy_migration
from irf.gadf.hdus import add_meta_information_to... | 0.930292 | 0.570032 |
import numpy as np
from pprint import pprint
from qlazy import QState
class MyQState(QState):
def swap(self,q0,q1):
self.cx(q0,q1).cx(q1,q0).cx(q0,q1)
return self
def qft2(self,q1,q0):
self.h(q1).cp(q0,q1,phase=0.5)
self.h(q0)
self.swap(q0,q1)
return self... | example/py/QFT/qft.py | import numpy as np
from pprint import pprint
from qlazy import QState
class MyQState(QState):
def swap(self,q0,q1):
self.cx(q0,q1).cx(q1,q0).cx(q0,q1)
return self
def qft2(self,q1,q0):
self.h(q1).cp(q0,q1,phase=0.5)
self.h(q0)
self.swap(q0,q1)
return self... | 0.298798 | 0.400867 |
import threading
import websocket
import contextlib
import ujson as json
from time import time as timestamp
from .lib.util import objects
class SocketHandler:
def __init__(self, client, socket_trace = False):
websocket.enableTrace(True)
self.socket_url = "wss://ws.projz.com/v1/chat/ws"
sel... | projz/socket.py | import threading
import websocket
import contextlib
import ujson as json
from time import time as timestamp
from .lib.util import objects
class SocketHandler:
def __init__(self, client, socket_trace = False):
websocket.enableTrace(True)
self.socket_url = "wss://ws.projz.com/v1/chat/ws"
sel... | 0.191781 | 0.117876 |
# %% Set up
import warnings
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
from ForcePickle import pickle_protocol
import pandas as pd
# Set styles and themes
# matplotlib.rcParams.update(matplotlib.rcParamsDefault)
githubContent = 'https://raw.githubusercontent.com/sckilcoyne/FIRE/'
gith... | market analysis.py | # %% Set up
import warnings
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
from ForcePickle import pickle_protocol
import pandas as pd
# Set styles and themes
# matplotlib.rcParams.update(matplotlib.rcParamsDefault)
githubContent = 'https://raw.githubusercontent.com/sckilcoyne/FIRE/'
gith... | 0.53777 | 0.379378 |
import os
import PIL
from rect import Rect
_imageFolder = ''
def setImageFolder(path):
'''
set a path to image folder
simplifies the path definition for SpriteSheets and SheetImages
'''
global _imageFolder
_imageFolder = path
class CssProp:
def __init__(self, selector, pos=(0,0)):
... | spritesticker/sheetimage.py | import os
import PIL
from rect import Rect
_imageFolder = ''
def setImageFolder(path):
'''
set a path to image folder
simplifies the path definition for SpriteSheets and SheetImages
'''
global _imageFolder
_imageFolder = path
class CssProp:
def __init__(self, selector, pos=(0,0)):
... | 0.750918 | 0.342393 |
import pytest
import sys
from celery_singleton.config import Config
from celery_singleton.backends.redis import RedisBackend
class TestBackendUrl:
@pytest.mark.celery(result_backend="redis://test_backend_url")
def test__defaults_to_celery_backend_url(self, celery_app):
config = Config(celery_app)
... | tests/test_config.py | import pytest
import sys
from celery_singleton.config import Config
from celery_singleton.backends.redis import RedisBackend
class TestBackendUrl:
@pytest.mark.celery(result_backend="redis://test_backend_url")
def test__defaults_to_celery_backend_url(self, celery_app):
config = Config(celery_app)
... | 0.370112 | 0.313919 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
class... | caffe2/python/operator_test/reduce_ops_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
class... | 0.781581 | 0.444927 |
from django.db.models import Min
from django.views.generic import (
ListView,
DetailView,
)
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from webapp.models import Menu
from .models import (
SwimTest,
Record,
)
from .forms import (
SwimTestSearchForm,
)
... | tvdordrecht/swimtest/views.py | from django.db.models import Min
from django.views.generic import (
ListView,
DetailView,
)
from django.contrib.auth.models import User
from django.shortcuts import get_object_or_404
from webapp.models import Menu
from .models import (
SwimTest,
Record,
)
from .forms import (
SwimTestSearchForm,
)
... | 0.459804 | 0.151059 |
from sqlalchemy import text
import json
from mock_alchemy.mocking import UnifiedAlchemyMagicMock
from quarry.web.models.query import Query
from quarry.web.models.queryrun import QueryRun
from quarry.web.models.queryrevision import QueryRevision
def test_health(mocker, client):
minutes = 5
session = UnifiedA... | tests/test_health.py | from sqlalchemy import text
import json
from mock_alchemy.mocking import UnifiedAlchemyMagicMock
from quarry.web.models.query import Query
from quarry.web.models.queryrun import QueryRun
from quarry.web.models.queryrevision import QueryRevision
def test_health(mocker, client):
minutes = 5
session = UnifiedA... | 0.466603 | 0.14256 |
from sqlalchemy import Integer, distinct, func
from sqlalchemy.sql.expression import cast
from analytics.models import (
AttributionRefererReport,
AttributionReferrerEvent,
DetailPageEvent,
DetailPageEvents,
Image,
ResultClickedEvent,
SearchEvent,
SearchRatingEvent,
SourceUsageRepor... | analytics/report_controller.py | from sqlalchemy import Integer, distinct, func
from sqlalchemy.sql.expression import cast
from analytics.models import (
AttributionRefererReport,
AttributionReferrerEvent,
DetailPageEvent,
DetailPageEvents,
Image,
ResultClickedEvent,
SearchEvent,
SearchRatingEvent,
SourceUsageRepor... | 0.445047 | 0.138637 |
import numpy as np
import matplotlib.pyplot as plt
import math
from matplotlib import cm
from mpl_toolkits.mplot3d.axes3d import Axes3D
def get_cost_function(h_theta_x, logistic=False):
def cost_func(thetas, training_set):
result = 0
for training_sample in training_set:
nonlocal logisti... | Classification/PSET14-02Emperical.py | import numpy as np
import matplotlib.pyplot as plt
import math
from matplotlib import cm
from mpl_toolkits.mplot3d.axes3d import Axes3D
def get_cost_function(h_theta_x, logistic=False):
def cost_func(thetas, training_set):
result = 0
for training_sample in training_set:
nonlocal logisti... | 0.458106 | 0.734941 |
from collections import namedtuple
from itertools import product
import cvxpy as cp
import numpy as np
from inferlo.forney.nfg_model import NormalFactorGraphModel
map_lp_result = namedtuple('map_lp_result', ['upper_bound',
'lower_bound',
... | inferlo/forney/optimization/nfg_map_lp.py | from collections import namedtuple
from itertools import product
import cvxpy as cp
import numpy as np
from inferlo.forney.nfg_model import NormalFactorGraphModel
map_lp_result = namedtuple('map_lp_result', ['upper_bound',
'lower_bound',
... | 0.829008 | 0.614134 |
# IMPORTS
import os
import tempfile
from PyPDF2 import PdfFileReader
from tqdm import tqdm
from pdf2image import convert_from_path
# LISTING ALL FILES IN THE SOURCE DIRECTORY
file_list = os.listdir("workspace/source/batch")
file_count = 0
# PROVIDING THE ABSOLUTE PATH FOR POPPLER
abs_poppler_path = os.path.abspath... | batch_file.py |
# IMPORTS
import os
import tempfile
from PyPDF2 import PdfFileReader
from tqdm import tqdm
from pdf2image import convert_from_path
# LISTING ALL FILES IN THE SOURCE DIRECTORY
file_list = os.listdir("workspace/source/batch")
file_count = 0
# PROVIDING THE ABSOLUTE PATH FOR POPPLER
abs_poppler_path = os.path.abspath... | 0.127653 | 0.066843 |
import re
from jinja2 import nodes
from jinja2.ext import Extension
from ckanext.nhm.lib.taxonomy import find_author_split
class TaxonomyFormatExtension(Extension):
'''A custom Jinja2 tag for formatting scientific names in HTML.'''
tags = {'taxonomy'}
# keyed on the format
format_to_fields = {}
... | ckanext/nhm/lib/jinja_extensions.py |
import re
from jinja2 import nodes
from jinja2.ext import Extension
from ckanext.nhm.lib.taxonomy import find_author_split
class TaxonomyFormatExtension(Extension):
'''A custom Jinja2 tag for formatting scientific names in HTML.'''
tags = {'taxonomy'}
# keyed on the format
format_to_fields = {}
... | 0.690246 | 0.401453 |
from ..libgnss import utils, satpos
from ..libgnss.constants import *
import numpy as np
def calculate_nav_soln(receiver, prn_list=None, mc=None, rxTime0=None, rxPos0=None, pOut=False):
if prn_list is None:
prn_list = sorted(receiver.channels.keys())
if mc is None:
mc = receiver._mcount
... | pygnss/pythonreceiver/scalar/naveng.py |
from ..libgnss import utils, satpos
from ..libgnss.constants import *
import numpy as np
def calculate_nav_soln(receiver, prn_list=None, mc=None, rxTime0=None, rxPos0=None, pOut=False):
if prn_list is None:
prn_list = sorted(receiver.channels.keys())
if mc is None:
mc = receiver._mcount
... | 0.666931 | 0.312252 |
import time
from mogan.common import exception
from tempest import config
from tempest.lib.common.utils import data_utils
from tempest.lib import exceptions as lib_exc
import tempest.test
from mogan.tests.tempest.service import client
CONF = config.CONF
class BaseBaremetalComputeTest(tempest.test.BaseTestCase):
... | mogan/tests/tempest/api/base.py |
import time
from mogan.common import exception
from tempest import config
from tempest.lib.common.utils import data_utils
from tempest.lib import exceptions as lib_exc
import tempest.test
from mogan.tests.tempest.service import client
CONF = config.CONF
class BaseBaremetalComputeTest(tempest.test.BaseTestCase):
... | 0.524395 | 0.188455 |
import sys
import unittest
from verboselib import drop_default_language
from verboselib import drop_language
from verboselib import set_language
from verboselib import Translations
from .constants import LOCALE_DOMAIN
from .constants import LOCALE_DIR_PATH
class TranslationsTestCase(unittest.TestCase):
def setUp... | tests/test_translations.py | import sys
import unittest
from verboselib import drop_default_language
from verboselib import drop_language
from verboselib import set_language
from verboselib import Translations
from .constants import LOCALE_DOMAIN
from .constants import LOCALE_DIR_PATH
class TranslationsTestCase(unittest.TestCase):
def setUp... | 0.393269 | 0.168686 |
import datetime
import numpy as np
import pandas as pd
from pysolar import solar
import terrain.config as c
class TimeSeries():
'''
This class initializes a dataframe.
It also provides static methods for _ and _.
'''
def __init__(self, date):
self.date = date
self.df = self._initial... | terrain/time.py | import datetime
import numpy as np
import pandas as pd
from pysolar import solar
import terrain.config as c
class TimeSeries():
'''
This class initializes a dataframe.
It also provides static methods for _ and _.
'''
def __init__(self, date):
self.date = date
self.df = self._initial... | 0.713132 | 0.338514 |
from makani.avionics.firmware.monitors import analog_types
from makani.avionics.firmware.serial import cs_serial_params as rev
analog_default = {
'name': '',
'channel': -1,
'type': analog_types.kAnalogTypeVoltage,
'input_divider': 1.0,
'input_offset': 0.0,
'nominal': 0.0,
'min': 0.0,
'm... | avionics/firmware/monitors/cs_analog.py | from makani.avionics.firmware.monitors import analog_types
from makani.avionics.firmware.serial import cs_serial_params as rev
analog_default = {
'name': '',
'channel': -1,
'type': analog_types.kAnalogTypeVoltage,
'input_divider': 1.0,
'input_offset': 0.0,
'nominal': 0.0,
'min': 0.0,
'm... | 0.429429 | 0.14624 |
import logging
import os
import pandas as pd
import pytest
import time
import uuid
from modep_client.client import Client
from modep_client.datasets import Datasets
from modep_client.automl import Frameworks, FrameworkFlights
logger = logging.getLogger(__name__)
@pytest.fixture
def client():
client = Client(os.... | tests/test_modep_client.py | import logging
import os
import pandas as pd
import pytest
import time
import uuid
from modep_client.client import Client
from modep_client.datasets import Datasets
from modep_client.automl import Frameworks, FrameworkFlights
logger = logging.getLogger(__name__)
@pytest.fixture
def client():
client = Client(os.... | 0.482185 | 0.428443 |
import numpy as np
from math import floor, ceil, sqrt
from numba import jitclass, float64, boolean, int64, prange
from typing import List
spec = [
('heads', int64[:]),
('nexts', int64[:]),
('shifts', int64[:]),
('xmin', float64),
('xmax', float64),
('ymin', float64),
('ymax'... | src/Tools/NNLinkedList.py | import numpy as np
from math import floor, ceil, sqrt
from numba import jitclass, float64, boolean, int64, prange
from typing import List
spec = [
('heads', int64[:]),
('nexts', int64[:]),
('shifts', int64[:]),
('xmin', float64),
('xmax', float64),
('ymin', float64),
('ymax'... | 0.861232 | 0.443299 |
from __future__ import with_statement
__copyright__ = "Copyright (c) 2009 <NAME>"
__version__ = "$Id$"
import threading as _threading
import tws.EClientErrors as _EClientErrors
class HookTicks(object):
'''Installs hook to handle EWrapper.tick*() events.
To install construct an instance passing the wr... | tws/helper/_hook_ticks.py |
from __future__ import with_statement
__copyright__ = "Copyright (c) 2009 <NAME>"
__version__ = "$Id$"
import threading as _threading
import tws.EClientErrors as _EClientErrors
class HookTicks(object):
'''Installs hook to handle EWrapper.tick*() events.
To install construct an instance passing the wr... | 0.656328 | 0.365825 |