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 argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("-config_file", "--config_file", type=str)
parser.add_argument("-pythonpath", "--pythonpath", type=str)
parser.add_argument("-fold", "--fold", type=str, default="None")
parser.add_argument("-tomo_name", "--tomo_name", type=str)
args = p... | 3d_cnn/scripts/generate_prediction_partition.py | import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("-config_file", "--config_file", type=str)
parser.add_argument("-pythonpath", "--pythonpath", type=str)
parser.add_argument("-fold", "--fold", type=str, default="None")
parser.add_argument("-tomo_name", "--tomo_name", type=str)
args = p... | 0.295535 | 0.124852 |
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databas... | proto/contest_pb2.py | """Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_databas... | 0.324771 | 0.127979 |
from datetime import date
from datetime import timedelta
import datetime
import pickle
import os
from pickle import FALSE
from scripts.timetable import tt_runner
import scripts.webPageHandler as wph
import scripts.classroomaccess as ma
import scripts.calendaraccess as cac
import time
import pyfiglet
import sys
days ... | scripts/main.py |
from datetime import date
from datetime import timedelta
import datetime
import pickle
import os
from pickle import FALSE
from scripts.timetable import tt_runner
import scripts.webPageHandler as wph
import scripts.classroomaccess as ma
import scripts.calendaraccess as cac
import time
import pyfiglet
import sys
days ... | 0.160003 | 0.165627 |
import sys
sys.path.append('..')
from auto_scan_test import FusePassAutoScanTest
from program_config import TensorConfig, ProgramConfig, OpConfig, CxxConfig, TargetType, PrecisionType, DataLayoutType, Place
import numpy as np
from functools import partial
from typing import Optional, List, Callable, Dict, Any, Set
im... | lite/tests/unittest_py/pass/test_squeeze2_matmul_fuse_pass.py |
import sys
sys.path.append('..')
from auto_scan_test import FusePassAutoScanTest
from program_config import TensorConfig, ProgramConfig, OpConfig, CxxConfig, TargetType, PrecisionType, DataLayoutType, Place
import numpy as np
from functools import partial
from typing import Optional, List, Callable, Dict, Any, Set
im... | 0.599368 | 0.350171 |
from numba import jit
import numpy as np
import re
from multiprocessing import Pool
from math import ceil
@jit
def BaseToNum(chr_seq):
chr_seq = re.sub(r'A', '1', chr_seq)
chr_seq = re.sub(r'C', '2', chr_seq)
chr_seq = re.sub(r'G', '3', chr_seq)
chr_seq = re.sub(r'T', '4', chr_seq)
return chr_seq
... | build_library.py | from numba import jit
import numpy as np
import re
from multiprocessing import Pool
from math import ceil
@jit
def BaseToNum(chr_seq):
chr_seq = re.sub(r'A', '1', chr_seq)
chr_seq = re.sub(r'C', '2', chr_seq)
chr_seq = re.sub(r'G', '3', chr_seq)
chr_seq = re.sub(r'T', '4', chr_seq)
return chr_seq
... | 0.180504 | 0.178848 |
from __future__ import print_function, unicode_literals
import contextlib
import gzip
import os
import shutil
import socket
import sys
from io import open
from functools import partial
import nose
from grin import FileRecognizer, GZIP_MAGIC
printerr = partial(print, file=sys.stderr)
ALL_BYTES = bytes(bytearray(... | tests/test_file_recognizer.py | from __future__ import print_function, unicode_literals
import contextlib
import gzip
import os
import shutil
import socket
import sys
from io import open
from functools import partial
import nose
from grin import FileRecognizer, GZIP_MAGIC
printerr = partial(print, file=sys.stderr)
ALL_BYTES = bytes(bytearray(... | 0.278061 | 0.12921 |
from kivy.app import App
from jnius import autoclass, cast, PythonJavaClass, java_method
PythonActivity = autoclass('org.kivy.android.PythonActivity')
currentActivity = cast('android.app.Activity', PythonActivity.mActivity)
context = cast('android.content.Context', currentActivity.getApplicationContext())
FirebaseApp... | myapp/utils.py | from kivy.app import App
from jnius import autoclass, cast, PythonJavaClass, java_method
PythonActivity = autoclass('org.kivy.android.PythonActivity')
currentActivity = cast('android.app.Activity', PythonActivity.mActivity)
context = cast('android.content.Context', currentActivity.getApplicationContext())
FirebaseApp... | 0.508788 | 0.062991 |
from apf.consumers.generic import GenericConsumer
from confluent_kafka import Consumer, KafkaException
import fastavro
import io
import importlib
class KafkaConsumer(GenericConsumer):
"""Consume from a Kafka Topic.
By default :class:`KafkaConsumer` uses a manual commit strategy to avoid data loss on errors.... | apf/consumers/kafka.py | from apf.consumers.generic import GenericConsumer
from confluent_kafka import Consumer, KafkaException
import fastavro
import io
import importlib
class KafkaConsumer(GenericConsumer):
"""Consume from a Kafka Topic.
By default :class:`KafkaConsumer` uses a manual commit strategy to avoid data loss on errors.... | 0.84941 | 0.279712 |
import pytorch_lightning as pl
from nets.factory import factory as nets_fac
from optimization.loss_functions import factory as loss_fac
from optimization.optimizers import factory as opt_fac
import numpy as np
from datetime import datetime
import os
import torch
import torchvision.utils as vutils
from pytorch_lightning... | training_methods/gan.py | import pytorch_lightning as pl
from nets.factory import factory as nets_fac
from optimization.loss_functions import factory as loss_fac
from optimization.optimizers import factory as opt_fac
import numpy as np
from datetime import datetime
import os
import torch
import torchvision.utils as vutils
from pytorch_lightning... | 0.83622 | 0.316211 |
import logging
import paramiko
import hashlib
import datetime
import configparser
import sys
import os
conf_file = '/mnt/conf/sftp.conf'
#conf_file = '/home/orenault/Developments/airflow-demo/docker-files/connect-sftp/sftp-local.conf'
def read_conf(confFile):
sftpConf = {}
try:
with open(confFile, 'r... | docker-files/connect-sftp/copy-files.py |
import logging
import paramiko
import hashlib
import datetime
import configparser
import sys
import os
conf_file = '/mnt/conf/sftp.conf'
#conf_file = '/home/orenault/Developments/airflow-demo/docker-files/connect-sftp/sftp-local.conf'
def read_conf(confFile):
sftpConf = {}
try:
with open(confFile, 'r... | 0.164886 | 0.051272 |
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
# IMPORTS
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
import os
import csv
import urllib.request
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
# FUNCTIONS
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
def write_index_html(noinde... | shortener.py | # +++++++++++++++++++++++++++++++++++++++++++++++++++++
# IMPORTS
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
import os
import csv
import urllib.request
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
# FUNCTIONS
# +++++++++++++++++++++++++++++++++++++++++++++++++++++
def write_index_html(noinde... | 0.227727 | 0.118385 |
import pygame
from sudoku import constants as cst
from sudoku.Generators import sudGen
from sudoku.solvers import SudokuSolve
class Tile:
def __init__(self, num=0, isOrig=False):
self.img = "pics/num" + str(num) + ".png"
self.x = 0
self.y = 0
self.val = num
se... | sudoku/classes.py | import pygame
from sudoku import constants as cst
from sudoku.Generators import sudGen
from sudoku.solvers import SudokuSolve
class Tile:
def __init__(self, num=0, isOrig=False):
self.img = "pics/num" + str(num) + ".png"
self.x = 0
self.y = 0
self.val = num
se... | 0.24608 | 0.216446 |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://root:123456@127.0.0.1:3306/keli'
db = SQLAlchemy(app)
class Device(db.Model):
__tablename__ = 'device'
gprsSn = db.Column(db.String(20), primary_key=True)
... | kelidata.py | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://root:123456@127.0.0.1:3306/keli'
db = SQLAlchemy(app)
class Device(db.Model):
__tablename__ = 'device'
gprsSn = db.Column(db.String(20), primary_key=True)
... | 0.318697 | 0.050051 |
from instmakelib import instmake_log as LOG
from instmakelib import shellsyntax
from instmakelib import clibase
import sys
class CLIManager:
"""Manages the CLI plugins."""
def __init__(self, plugins=None):
# Load CLI plugins
if not plugins:
plugins = LOG.GetPlugins()
mods =... | instmakelib/climanager.py | from instmakelib import instmake_log as LOG
from instmakelib import shellsyntax
from instmakelib import clibase
import sys
class CLIManager:
"""Manages the CLI plugins."""
def __init__(self, plugins=None):
# Load CLI plugins
if not plugins:
plugins = LOG.GetPlugins()
mods =... | 0.37605 | 0.07989 |
import tensorflow as tf
import numpy as np
from layers import *
from BN_layers import *
class Dilated_Block(object):
def __init__(self, prefix, is_training, filter_width, conv_in_channels, conv_out_channels, skip_channels, dilation, clust_size = None, use_skip = True):
self.use_dense = True
self.use_dropout = Fa... | dilated_encoder.py | import tensorflow as tf
import numpy as np
from layers import *
from BN_layers import *
class Dilated_Block(object):
def __init__(self, prefix, is_training, filter_width, conv_in_channels, conv_out_channels, skip_channels, dilation, clust_size = None, use_skip = True):
self.use_dense = True
self.use_dropout = Fa... | 0.705075 | 0.165627 |
import sys
import os
import time
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, Float, String, DateTime, PickleType
from sqlalchemy.orm import sessionmaker
from sqlalchemy import text
sys.path.append(os... | code/ARAX/ARAXQuery/ARAX_query_tracker.py |
import sys
import os
import time
from datetime import datetime
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, Float, String, DateTime, PickleType
from sqlalchemy.orm import sessionmaker
from sqlalchemy import text
sys.path.append(os... | 0.295128 | 0.094052 |
import sublime, sublime_plugin
gte_st3 = int(sublime.version()) >= 3000
if gte_st3:
from .config import *
else:
from config import *
class HiveAddContextUrlBaseCommand(sublime_plugin.TextCommand):
def run(self, edit, event=None):
conf = sublime.load_settings(CONFIG_BASE_NAME)
url = self.f... | add_context_url.py | import sublime, sublime_plugin
gte_st3 = int(sublime.version()) >= 3000
if gte_st3:
from .config import *
else:
from config import *
class HiveAddContextUrlBaseCommand(sublime_plugin.TextCommand):
def run(self, edit, event=None):
conf = sublime.load_settings(CONFIG_BASE_NAME)
url = self.f... | 0.361728 | 0.09709 |
import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly
import plotly.graph_objs as go
from WatchDogs_MongoWrapper import MongoWrapper
from dash.dependencies import Input, Output
import pandas as pd
df = pd.read_csv('/Users/iankresyman/Desktop/2011_february_us_airport_traffic2... | WatchDogs_Visualisation/oldApps/tweet-map/testmap.py | import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly
import plotly.graph_objs as go
from WatchDogs_MongoWrapper import MongoWrapper
from dash.dependencies import Input, Output
import pandas as pd
df = pd.read_csv('/Users/iankresyman/Desktop/2011_february_us_airport_traffic2... | 0.114963 | 0.118487 |
from ncclient import manager
import yaml
import xml.dom.minidom
import lxml.etree as et
import xmltodict
payload = """
<filter>
<device-hardware-data xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-device-hardware-oper">
<device-hardware>
<device-inventory>
<serial-number/>
<hw-typ... | advanced-netconf-explorer/solutions/1_ncclient_mission_serial_number/run.py | from ncclient import manager
import yaml
import xml.dom.minidom
import lxml.etree as et
import xmltodict
payload = """
<filter>
<device-hardware-data xmlns="http://cisco.com/ns/yang/Cisco-IOS-XE-device-hardware-oper">
<device-hardware>
<device-inventory>
<serial-number/>
<hw-typ... | 0.28877 | 0.088583 |
from mongoengine import *
import json
class UserAgent(EmbeddedDocument):
browser = StringField()
language = StringField()
platform = StringField()
string = StringField()
version = StringField()
class Tracking(Document):
#session_key = models.CharField(max_length=40, null=True, blank=True, db_i... | wicarproject/utilities/flask_tracking/documents.py | from mongoengine import *
import json
class UserAgent(EmbeddedDocument):
browser = StringField()
language = StringField()
platform = StringField()
string = StringField()
version = StringField()
class Tracking(Document):
#session_key = models.CharField(max_length=40, null=True, blank=True, db_i... | 0.5144 | 0.090574 |
import main
import state
import utils
import os
from flask import Flask, render_template, request, redirect, cli
from werkzeug.utils import secure_filename
from nfc_reader import start_nfc_thread
from utils import printt
DEVENV = False
try:
# pylint: disable=import-error
import RPi.GPIO as GPIO
except:
DEV... | web_interface.py | import main
import state
import utils
import os
from flask import Flask, render_template, request, redirect, cli
from werkzeug.utils import secure_filename
from nfc_reader import start_nfc_thread
from utils import printt
DEVENV = False
try:
# pylint: disable=import-error
import RPi.GPIO as GPIO
except:
DEV... | 0.215268 | 0.049291 |
"Unit tests for //internal/common:expand_into_runfiles.bzl"
load("@bazel_skylib//lib:unittest.bzl", "asserts", "unittest")
load("//internal/common:expand_into_runfiles.bzl", "expand_location_into_runfiles")
def _impl(ctx):
env = unittest.begin(ctx)
conversions = {
"$(location //:package.json)": "buil... | internal/common/test/expand_into_runfiles_test.bzl | "Unit tests for //internal/common:expand_into_runfiles.bzl"
load("@bazel_skylib//lib:unittest.bzl", "asserts", "unittest")
load("//internal/common:expand_into_runfiles.bzl", "expand_location_into_runfiles")
def _impl(ctx):
env = unittest.begin(ctx)
conversions = {
"$(location //:package.json)": "buil... | 0.58166 | 0.314524 |
import pytest
from yaplox.expr import Binary, Grouping, Literal, Unary
from yaplox.interpreter import Interpreter
from yaplox.parser import Parser
from yaplox.scanner import Scanner
from yaplox.stmt import Expression
from yaplox.token_type import TokenType
from yaplox.yaplox_runtime_error import YaploxRuntimeError
c... | tests/test_interpreter.py | import pytest
from yaplox.expr import Binary, Grouping, Literal, Unary
from yaplox.interpreter import Interpreter
from yaplox.parser import Parser
from yaplox.scanner import Scanner
from yaplox.stmt import Expression
from yaplox.token_type import TokenType
from yaplox.yaplox_runtime_error import YaploxRuntimeError
c... | 0.569134 | 0.617167 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import os
import json
import random
from typing import NamedTuple, Optional, Iterable, Tuple
from transformers import BertModel, BertPreTrainedModel
from transformers.modeling_bert import BertLMPredictionHead, ACT2FN
from transformers.c... | models.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import os
import json
import random
from typing import NamedTuple, Optional, Iterable, Tuple
from transformers import BertModel, BertPreTrainedModel
from transformers.modeling_bert import BertLMPredictionHead, ACT2FN
from transformers.c... | 0.902625 | 0.271234 |
from oslo_log import log as logging
LOG = logging.getLogger(__name__)
class SPDKDRIVER(object):
"""SPDKDRIVER
This is just a virtual SPDK drivers interface.
SPDK-based app server should implement their specific drivers.
"""
@classmethod
def create(cls, server, *args, **kwargs):
... | cyborg/accelerator/drivers/spdk/spdk.py | from oslo_log import log as logging
LOG = logging.getLogger(__name__)
class SPDKDRIVER(object):
"""SPDKDRIVER
This is just a virtual SPDK drivers interface.
SPDK-based app server should implement their specific drivers.
"""
@classmethod
def create(cls, server, *args, **kwargs):
... | 0.756987 | 0.081119 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
def func_conv_deform(x, loc_layer, k, s, layers_act_num, offset_file = '', activated = False):
# print(layers_act_num)
if offset_file == '':
offset_file = './OFFSETS/offset_'+str(int(x.shape[3]/s))+'_'+str(int(x.shape... | core/update_sphe.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
def func_conv_deform(x, loc_layer, k, s, layers_act_num, offset_file = '', activated = False):
# print(layers_act_num)
if offset_file == '':
offset_file = './OFFSETS/offset_'+str(int(x.shape[3]/s))+'_'+str(int(x.shape... | 0.667473 | 0.341404 |
import matplotlib
import pandas as pd
from sklearn.model_selection import learning_curve, train_test_split, GridSearchCV
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.metrics import accuracy_score
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClas... | 39/demo4.py | import matplotlib
import pandas as pd
from sklearn.model_selection import learning_curve, train_test_split, GridSearchCV
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.metrics import accuracy_score
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClas... | 0.521471 | 0.45417 |
from __future__ import absolute_import
__author__ = "<NAME>"
__version__ = "1.0"
import simtk.openmm as mm
import simtk.unit as unit
import sys
from datetime import datetime, timedelta
try:
string_types = (unicode, str)
except NameError:
string_types = (str,)
class Simulation(object):
"""Simulation provid... | 3rdparty/openmm/wrappers/python/simtk/openmm/app/simulation.py | from __future__ import absolute_import
__author__ = "<NAME>"
__version__ = "1.0"
import simtk.openmm as mm
import simtk.unit as unit
import sys
from datetime import datetime, timedelta
try:
string_types = (unicode, str)
except NameError:
string_types = (str,)
class Simulation(object):
"""Simulation provid... | 0.648911 | 0.416381 |
import os
import time
import pandas as pd
import numpy as np
import tsam.timeseriesaggregation as tsam
def test_cluster_order():
raw = pd.read_csv(os.path.join(os.path.dirname(__file__),'..','examples','testdata.csv'), index_col = 0)
raw_wind = raw.loc[:, 'Wind'].to_frame()
orig_raw_predefClusterOrd... | test/test_cluster_order.py | import os
import time
import pandas as pd
import numpy as np
import tsam.timeseriesaggregation as tsam
def test_cluster_order():
raw = pd.read_csv(os.path.join(os.path.dirname(__file__),'..','examples','testdata.csv'), index_col = 0)
raw_wind = raw.loc[:, 'Wind'].to_frame()
orig_raw_predefClusterOrd... | 0.31785 | 0.274655 |
from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from rest_framework import status
from rest_framework.generics import GenericAPIView
from rest_framework.parsers import JSONParser
from rest_framework.renderers import Browsab... | api/document/views.py | from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from rest_framework import status
from rest_framework.generics import GenericAPIView
from rest_framework.parsers import JSONParser
from rest_framework.renderers import Browsab... | 0.558809 | 0.12166 |
import json, glob, os
import logging
import pandas as pd
import world_bank_data as wb
import netCDF4 as nc
countrymasks = os.path.dirname(__file__)
country_data_path = os.path.join(countrymasks, 'country_data')
datasets = os.path.join(countrymasks, 'datasets')
class Variable:
def __init__(self, type, label, unit... | create_country_data.py | import json, glob, os
import logging
import pandas as pd
import world_bank_data as wb
import netCDF4 as nc
countrymasks = os.path.dirname(__file__)
country_data_path = os.path.join(countrymasks, 'country_data')
datasets = os.path.join(countrymasks, 'datasets')
class Variable:
def __init__(self, type, label, unit... | 0.484136 | 0.189371 |
import os
import numpy as np
from numpy.testing import TestCase, assert_array_almost_equal, \
assert_almost_equal
from parameterized import parameterized
from ..rebidding import (
MultistageAuctionData, MultistageIsNonCompetitive,
RefinedMultistageData, RefinedMultistageIsNonCompetitive,
RefinedMultist... | mb_api/tests/test_rebidding.py | import os
import numpy as np
from numpy.testing import TestCase, assert_array_almost_equal, \
assert_almost_equal
from parameterized import parameterized
from ..rebidding import (
MultistageAuctionData, MultistageIsNonCompetitive,
RefinedMultistageData, RefinedMultistageIsNonCompetitive,
RefinedMultist... | 0.525856 | 0.591045 |
import unittest
from planet import *
class ExampleTestPlanet(unittest.TestCase):
def setUp(self):
# set your data structure
self.havok = Planet()
self.havok.add_path(((15, 37), Direction.NORTH),
((15, 39), Direction.SOUTH), 1)
# loop
self.havo... | src/planettest.py |
import unittest
from planet import *
class ExampleTestPlanet(unittest.TestCase):
def setUp(self):
# set your data structure
self.havok = Planet()
self.havok.add_path(((15, 37), Direction.NORTH),
((15, 39), Direction.SOUTH), 1)
# loop
self.havo... | 0.628293 | 0.457985 |
from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import StaleElementReferenceException
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.support.wait import WebDriverWait
import browser
import time
class PageObject:
XPATH_RADIO = '//div... | fuelweb_ui_test/pageobjects/base.py | from selenium.common.exceptions import NoSuchElementException
from selenium.common.exceptions import StaleElementReferenceException
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.support.wait import WebDriverWait
import browser
import time
class PageObject:
XPATH_RADIO = '//div... | 0.534127 | 0.113506 |
import pickle
from itertools import cycle
from time import time
from tqdm.auto import tqdm
import shutil
from pathlib import Path
# Pandas, Numpy
import pandas as pd
import numpy as np
from numpy import interp
from matplotlib import pyplot as plt
pd.set_option("display.max_columns", None)
# Model evaluation
from skle... | pskit/base.py | import pickle
from itertools import cycle
from time import time
from tqdm.auto import tqdm
import shutil
from pathlib import Path
# Pandas, Numpy
import pandas as pd
import numpy as np
from numpy import interp
from matplotlib import pyplot as plt
pd.set_option("display.max_columns", None)
# Model evaluation
from skle... | 0.817866 | 0.225897 |
import os
import sys
import fcntl
import struct
import termios
import argparse
import itertools
from PIL import Image
from PIL.ImagePalette import ImagePalette
PALETTES = {
'tango': (
(0x00, 0x00, 0x00), (0xcc, 0x00, 0x00),
(0x4e, 0x9a, 0x06), (0xc4, 0xa0, 0x00),
(0x34, 0x65, 0xa4), (0x75... | termivis.py |
import os
import sys
import fcntl
import struct
import termios
import argparse
import itertools
from PIL import Image
from PIL.ImagePalette import ImagePalette
PALETTES = {
'tango': (
(0x00, 0x00, 0x00), (0xcc, 0x00, 0x00),
(0x4e, 0x9a, 0x06), (0xc4, 0xa0, 0x00),
(0x34, 0x65, 0xa4), (0x75... | 0.078269 | 0.271179 |
import pytest
from problems.types import ProblemType
def test_construct_blank_type():
problem_type = ProblemType()
assert problem_type.identifier == "about:blank"
assert problem_type.title == ""
assert problem_type.detail == ""
assert problem_type.extension == {}
# identifier validation
def t... | src/tests/test_types.py | import pytest
from problems.types import ProblemType
def test_construct_blank_type():
problem_type = ProblemType()
assert problem_type.identifier == "about:blank"
assert problem_type.title == ""
assert problem_type.detail == ""
assert problem_type.extension == {}
# identifier validation
def t... | 0.816113 | 0.771241 |
import pathlib
from django.utils.translation import ugettext_lazy as _
import dj_database_url
from .env import env
BASE_DIR = pathlib.Path(__file__).parent.parent
SETTINGS_DIR = BASE_DIR / 'settings'
APPS_DIR = BASE_DIR / 'apps'
ALLOWED_HOSTS = ['*'] # Host checking done by web server.
ROOT_URLCONF = 'apps.urls'
... | settings/base.py | import pathlib
from django.utils.translation import ugettext_lazy as _
import dj_database_url
from .env import env
BASE_DIR = pathlib.Path(__file__).parent.parent
SETTINGS_DIR = BASE_DIR / 'settings'
APPS_DIR = BASE_DIR / 'apps'
ALLOWED_HOSTS = ['*'] # Host checking done by web server.
ROOT_URLCONF = 'apps.urls'
... | 0.263599 | 0.092115 |
from flask import request
from flask_restplus import Resource
from .models import AuthUser, SpeedtestCustomer
from .schemas import CustomerSchema, UserSchema
from sqlalchemy import func
import random, math
from app import db
import uuid
from flask_script import Command
import timeit
DATA = [
{
... | flaskspeed/app/speedtest/views.py | from flask import request
from flask_restplus import Resource
from .models import AuthUser, SpeedtestCustomer
from .schemas import CustomerSchema, UserSchema
from sqlalchemy import func
import random, math
from app import db
import uuid
from flask_script import Command
import timeit
DATA = [
{
... | 0.410166 | 0.156041 |
import logging
import argparse
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, accuracy_score
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(filename)s:%(lineno)s - %(message... | perceptron/p.py | import logging
import argparse
import numpy as np
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, accuracy_score
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(filename)s:%(lineno)s - %(message... | 0.657538 | 0.511656 |
import sys
import time
import unittest
import nose
from lib.noseplugin import OptionParser, parser_option
from lib import base
from lib.base import BGP_FSM_ESTABLISHED, local
from lib.gobgp import GoBGPContainer
from lib.quagga import QuaggaBGPContainer
class GoBGPTestBase(unittest.TestCase):
def _check_g... | test/scenario_test/bgp_confederation_test.py |
import sys
import time
import unittest
import nose
from lib.noseplugin import OptionParser, parser_option
from lib import base
from lib.base import BGP_FSM_ESTABLISHED, local
from lib.gobgp import GoBGPContainer
from lib.quagga import QuaggaBGPContainer
class GoBGPTestBase(unittest.TestCase):
def _check_g... | 0.267504 | 0.195172 |
import random
import math
from functools import cached_property
import numpy as np
import numpy.typing as npt
from liegroups.base import (
LieGroupBase,
Adjoint,
Jacobian,
OptionalJacobian,
Tangent,
Vector,
eps,
)
from liegroups.so3 import SO3
from liegroups.util import normalize_range, nor... | src/liegroups/se3.py | import random
import math
from functools import cached_property
import numpy as np
import numpy.typing as npt
from liegroups.base import (
LieGroupBase,
Adjoint,
Jacobian,
OptionalJacobian,
Tangent,
Vector,
eps,
)
from liegroups.so3 import SO3
from liegroups.util import normalize_range, nor... | 0.874814 | 0.682577 |
"""Evaluates the accuracy of imprinting based transfer learning model."""
import contextlib
import os
from PIL import Image
from pycoral.adapters import classify
from pycoral.adapters import common
from pycoral.learn.imprinting.engine import ImprintingEngine
from pycoral.utils.edgetpu import make_interpreter
from tes... | tests/imprinting_evaluation_test.py | """Evaluates the accuracy of imprinting based transfer learning model."""
import contextlib
import os
from PIL import Image
from pycoral.adapters import classify
from pycoral.adapters import common
from pycoral.learn.imprinting.engine import ImprintingEngine
from pycoral.utils.edgetpu import make_interpreter
from tes... | 0.874158 | 0.559651 |
__all__ = [
'VLVRequestControl',
'VLVResponseControl',
]
import ldap
from ldap.ldapobject import LDAPObject
from ldap.controls import (RequestControl, ResponseControl,
KNOWN_RESPONSE_CONTROLS, DecodeControlTuples)
from pyasn1.type import univ, namedtype, tag, namedval, constraint
from pyasn1.codec.ber imp... | lib/python3.7/site-packages/ldap/controls/vlv.py | __all__ = [
'VLVRequestControl',
'VLVResponseControl',
]
import ldap
from ldap.ldapobject import LDAPObject
from ldap.controls import (RequestControl, ResponseControl,
KNOWN_RESPONSE_CONTROLS, DecodeControlTuples)
from pyasn1.type import univ, namedtype, tag, namedval, constraint
from pyasn1.codec.ber imp... | 0.624408 | 0.245277 |
import sys
from contextlib import contextmanager
from inspect import getmembers, isroutine
from logging import getLogger, StreamHandler, INFO
from warnings import warn
try: # python 3+
from configparser import ConfigParser
except ImportError:
from ConfigParser import ConfigParser
try: # python 3.5+
from... | azmlclient/clients.py | import sys
from contextlib import contextmanager
from inspect import getmembers, isroutine
from logging import getLogger, StreamHandler, INFO
from warnings import warn
try: # python 3+
from configparser import ConfigParser
except ImportError:
from ConfigParser import ConfigParser
try: # python 3.5+
from... | 0.730866 | 0.132543 |
import logging
from datetime import datetime
from monty.json import jsanitize
from monty.tempfile import ScratchDir
from pymatgen.core.structure import Structure
from pymatgen.electronic_structure.boltztrap import BoltztrapRunner
from maggma.builders import Builder
__author__ = "<NAME> <<EMAIL>>"
class BoltztrapDo... | emmet/materials/boltztrap.py | import logging
from datetime import datetime
from monty.json import jsanitize
from monty.tempfile import ScratchDir
from pymatgen.core.structure import Structure
from pymatgen.electronic_structure.boltztrap import BoltztrapRunner
from maggma.builders import Builder
__author__ = "<NAME> <<EMAIL>>"
class BoltztrapDo... | 0.713931 | 0.273866 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import argparse
import os
from skimage.io import imsave
from utils import read_points
from utils import list_files, read_gray
#53941
#12270
#dataset/point/full/coords_rat-09-full.pts
#datas... | data.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import argparse
import os
from skimage.io import imsave
from utils import read_points
from utils import list_files, read_gray
#53941
#12270
#dataset/point/full/coords_rat-09-full.pts
#datas... | 0.39257 | 0.154535 |
import math
import time
blip = Voice(10, 0, 80, 0, 0, 0, 0, 100)
picker = Buffer(68, 68)
sliders = [
["R", 15, rgb(15, 0, 0)],
["G", 6, rgb(0, 15, 0)],
["B", 9, rgb(0, 0, 15)]
]
# selected colour coordinates
sx = 32
sy = 32
def colour_from_xy(x, y):
# convert an x, y coordinate (0..63, 0..63) into... | micropython/examples/picosystem/colour.py | import math
import time
blip = Voice(10, 0, 80, 0, 0, 0, 0, 100)
picker = Buffer(68, 68)
sliders = [
["R", 15, rgb(15, 0, 0)],
["G", 6, rgb(0, 15, 0)],
["B", 9, rgb(0, 0, 15)]
]
# selected colour coordinates
sx = 32
sy = 32
def colour_from_xy(x, y):
# convert an x, y coordinate (0..63, 0..63) into... | 0.477311 | 0.479686 |
from waterbutler.core import metadata
class BaseNextcloudMetadata(metadata.BaseMetadata):
def __init__(self, href, folder, provider, attributes=None):
super(BaseNextcloudMetadata, self).__init__(None)
self.attributes = attributes or {}
self._folder = folder
self._href = href
... | waterbutler/providers/nextcloud/metadata.py | from waterbutler.core import metadata
class BaseNextcloudMetadata(metadata.BaseMetadata):
def __init__(self, href, folder, provider, attributes=None):
super(BaseNextcloudMetadata, self).__init__(None)
self.attributes = attributes or {}
self._folder = folder
self._href = href
... | 0.776284 | 0.099339 |
from app.steam.id import (is_valid_steamid,
is_steamid,
is_steamid64,
is_steamid3,
steamid_to_steamid64,
steamid64_to_steamid,
steamid64_to_steamid3,
... | tests/test_steam_ids.py | from app.steam.id import (is_valid_steamid,
is_steamid,
is_steamid64,
is_steamid3,
steamid_to_steamid64,
steamid64_to_steamid,
steamid64_to_steamid3,
... | 0.460289 | 0.610599 |
import torch
import torch.nn as nn
import math
from .metrics import MSE, MAE, MAPE
from graph_edit_distance import embedding_distances
def train_epoch(model, optimizer, device, data_loader, epoch):
model.train()
epoch_loss = 0
epoch_train_mse = 0
epoch_train_mae = 0
epoch_train_mape = 0
nb_dat... | realworld_benchmark/train/train_molecules_graph_regression.py | import torch
import torch.nn as nn
import math
from .metrics import MSE, MAE, MAPE
from graph_edit_distance import embedding_distances
def train_epoch(model, optimizer, device, data_loader, epoch):
model.train()
epoch_loss = 0
epoch_train_mse = 0
epoch_train_mae = 0
epoch_train_mape = 0
nb_dat... | 0.631594 | 0.510313 |
from itertools import count
from django.db import migrations, models
import django.db.models.deletion
def create_school_year_divisions(apps, schema_editor):
Course = apps.get_model('leprikon', 'Course')
CourseDiscount = apps.get_model('leprikon', 'CourseDiscount')
SchoolYearDivision = apps.get_model('lep... | leprikon/migrations/0015_school_year_divisions.py |
from itertools import count
from django.db import migrations, models
import django.db.models.deletion
def create_school_year_divisions(apps, schema_editor):
Course = apps.get_model('leprikon', 'Course')
CourseDiscount = apps.get_model('leprikon', 'CourseDiscount')
SchoolYearDivision = apps.get_model('lep... | 0.47658 | 0.301528 |
# isort:skip_file
import os
import django
django.setup()
from scanpipe import pipes
from scanpipe.pipelines import Pipeline
from scanpipe.pipelines import step
from scanpipe.pipes import docker as docker_pipes
from scanpipe.pipes import rootfs as rootfs_pipes
class DockerPipeline(Pipeline):
"""
A pipelin... | scanpipe/pipelines/docker.py |
# isort:skip_file
import os
import django
django.setup()
from scanpipe import pipes
from scanpipe.pipelines import Pipeline
from scanpipe.pipelines import step
from scanpipe.pipes import docker as docker_pipes
from scanpipe.pipes import rootfs as rootfs_pipes
class DockerPipeline(Pipeline):
"""
A pipelin... | 0.547948 | 0.329365 |
import sys
import os
import numpy as np
from collections import OrderedDict
import torch
import torch.nn.functional as F
from src.utils import Print
class Trainer():
""" train / eval helper class """
def __init__(self, model):
self.model = model
self.optim = None
self.scheduler = No... | src/train.py |
import sys
import os
import numpy as np
from collections import OrderedDict
import torch
import torch.nn.functional as F
from src.utils import Print
class Trainer():
""" train / eval helper class """
def __init__(self, model):
self.model = model
self.optim = None
self.scheduler = No... | 0.682574 | 0.193452 |
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.OperateTask import OperateTask
class AlipayCommerceAbntaskModifyModel(object):
def __init__(self):
self._operate_task_list = None
self._operation_time = None
self._operator_id = None
self.... | alipay/aop/api/domain/AlipayCommerceAbntaskModifyModel.py | import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.OperateTask import OperateTask
class AlipayCommerceAbntaskModifyModel(object):
def __init__(self):
self._operate_task_list = None
self._operation_time = None
self._operator_id = None
self.... | 0.413951 | 0.066357 |
import string
from xml.sax.saxutils import escape
from AnyQt.QtWidgets import (
QGraphicsItem,
QGraphicsObject,
QGraphicsTextItem,
QGraphicsWidget,
QGraphicsDropShadowEffect,
QStyle,
QApplication,
)
from AnyQt.QtGui import (
QPen,
QBrush,
QColor,
QPalette,
QIcon,
QP... | orange3/Orange/canvas/canvas/items/nodeitem.py | import string
from xml.sax.saxutils import escape
from AnyQt.QtWidgets import (
QGraphicsItem,
QGraphicsObject,
QGraphicsTextItem,
QGraphicsWidget,
QGraphicsDropShadowEffect,
QStyle,
QApplication,
)
from AnyQt.QtGui import (
QPen,
QBrush,
QColor,
QPalette,
QIcon,
QP... | 0.662251 | 0.226891 |
import pandas as pd
import pickle
from os.path import join
model_dir = '../../stan_models/models_bin/'
ts_dir = '../time_series/SM/'
res_dir = '../results/SM/'
# Load models
with open(join(model_dir, 'prevalence_model.bin'), 'rb') as f:
prevalence_model = pickle.load(f)
with open(join(model_dir, 'incidence_model.... | experiments/scripts/sparsity_test.py | import pandas as pd
import pickle
from os.path import join
model_dir = '../../stan_models/models_bin/'
ts_dir = '../time_series/SM/'
res_dir = '../results/SM/'
# Load models
with open(join(model_dir, 'prevalence_model.bin'), 'rb') as f:
prevalence_model = pickle.load(f)
with open(join(model_dir, 'incidence_model.... | 0.560974 | 0.254231 |
import esphome.codegen as cg
import esphome.config_validation as cv
from esphome.components import sensor
from esphome.const import (
CONF_ID,
CONF_COMPONENT_ID,
)
from .. import nextion_ns, CONF_NEXTION_ID
from ..base_component import (
setup_component_core_,
CONFIG_SENSOR_COMPONENT_SCHEMA,
CONF_... | esphome/components/nextion/sensor/__init__.py | import esphome.codegen as cg
import esphome.config_validation as cv
from esphome.components import sensor
from esphome.const import (
CONF_ID,
CONF_COMPONENT_ID,
)
from .. import nextion_ns, CONF_NEXTION_ID
from ..base_component import (
setup_component_core_,
CONFIG_SENSOR_COMPONENT_SCHEMA,
CONF_... | 0.398055 | 0.075483 |
from pyramid.view import view_config
from pyramid.httpexceptions import HTTPUnauthorized
from ..models import Association, Account
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.layouts import gridplot
from bokeh.embed import components
from bokeh.palettes import Spectral6, Spect... | opportune/views/stat.py | from pyramid.view import view_config
from pyramid.httpexceptions import HTTPUnauthorized
from ..models import Association, Account
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.layouts import gridplot
from bokeh.embed import components
from bokeh.palettes import Spectral6, Spect... | 0.657098 | 0.296642 |
from django.db import models
class SampleModel(models.Model):
a = models.CharField(max_length=50, null=True)
b = models.CharField(max_length=50, null=True)
class SampleModelWithFK(models.Model):
parent = models.ForeignKey(SampleModel, on_delete=models.CASCADE)
class SampleModelForAutofilter(models.Mod... | tests/models.py | from django.db import models
class SampleModel(models.Model):
a = models.CharField(max_length=50, null=True)
b = models.CharField(max_length=50, null=True)
class SampleModelWithFK(models.Model):
parent = models.ForeignKey(SampleModel, on_delete=models.CASCADE)
class SampleModelForAutofilter(models.Mod... | 0.711631 | 0.214116 |
from utils import *
from sklearn.linear_model import Perceptron
from sklearn.datasets import make_classification
def test_mnist():
trX, trY, teX, teY = load_mnist()
# get 2 class data and label
train_datas = []
train_labels = []
test_datas = []
test_labels = []
for x in range(trX.shape[0]... | Perceptron.py | from utils import *
from sklearn.linear_model import Perceptron
from sklearn.datasets import make_classification
def test_mnist():
trX, trY, teX, teY = load_mnist()
# get 2 class data and label
train_datas = []
train_labels = []
test_datas = []
test_labels = []
for x in range(trX.shape[0]... | 0.45423 | 0.661363 |
import os
import argparse
import mxnet
from mxnet import gluon
from mxnet.gluon.data.vision.transforms import Compose, ToTensor, Normalize
import utils
from datahelper import MultiViewImageDataset
from model import MVRNN
def parse_args():
'''PARAMETERS'''
parser = argparse.ArgumentParser('ViewSequenceNet')... | test.py | import os
import argparse
import mxnet
from mxnet import gluon
from mxnet.gluon.data.vision.transforms import Compose, ToTensor, Normalize
import utils
from datahelper import MultiViewImageDataset
from model import MVRNN
def parse_args():
'''PARAMETERS'''
parser = argparse.ArgumentParser('ViewSequenceNet')... | 0.568536 | 0.137967 |
import os
import re
import shutil
import time
from collections import defaultdict
import torch
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
from torch.nn.utils import clip_grad_norm_
import utils
from utils import cache
class AbstractionEmbedding:
names = {
'loss': ['embed', 'ab... | experiments.py | import os
import re
import shutil
import time
from collections import defaultdict
import torch
import torch.backends.cudnn as cudnn
import torch.nn.functional as F
from torch.nn.utils import clip_grad_norm_
import utils
from utils import cache
class AbstractionEmbedding:
names = {
'loss': ['embed', 'ab... | 0.792986 | 0.160167 |
import decimal
from threading import Thread
from vnpy.trader.constant import Status, Direction
from vnpy.trader.object import AccountData
from vnpy_ctastrategy import (
CtaTemplate,
StopOrder,
TickData,
BarData,
TradeData,
OrderData
)
from time import time
import numpy as np
import time
import... | working_dir/strategies/binance_spot_grid_strategy.py | import decimal
from threading import Thread
from vnpy.trader.constant import Status, Direction
from vnpy.trader.object import AccountData
from vnpy_ctastrategy import (
CtaTemplate,
StopOrder,
TickData,
BarData,
TradeData,
OrderData
)
from time import time
import numpy as np
import time
import... | 0.488039 | 0.286356 |
from despinassy.db import db
from despinassy.ipc import IpcOrigin, IpcMessageType
from despinassy.Channel import Channel
from sqlalchemy.orm import relationship, validates
from sqlalchemy.exc import IntegrityError
from enum import IntEnum
import datetime
import json
class PrinterDialectEnum(IntEnum):
"""
List... | despinassy/Printer.py | from despinassy.db import db
from despinassy.ipc import IpcOrigin, IpcMessageType
from despinassy.Channel import Channel
from sqlalchemy.orm import relationship, validates
from sqlalchemy.exc import IntegrityError
from enum import IntEnum
import datetime
import json
class PrinterDialectEnum(IntEnum):
"""
List... | 0.771757 | 0.352425 |
from warnings import warn
from math import sqrt
from uuid import uuid4
from random import randint
from shutil import copytree, rmtree
from os.path import join
from tempfile import gettempdir
from unittest import TestCase
from shapely.geometry import Point, MultiPolygon
import shapely.wkb
from aequilibrae import Project... | tests/aequilibrae/project/test_zone.py | from warnings import warn
from math import sqrt
from uuid import uuid4
from random import randint
from shutil import copytree, rmtree
from os.path import join
from tempfile import gettempdir
from unittest import TestCase
from shapely.geometry import Point, MultiPolygon
import shapely.wkb
from aequilibrae import Project... | 0.52975 | 0.472136 |
import sys
import time
import attr
import numpy as np
import tqdm
from .utils import stat_str
class FFSampler:
pass
@attr.s
class FFInterface:
order = attr.ib(type=float)
states = attr.ib(factory=list)
log10_rate = attr.ib(0.0)
s_up = attr.ib(0)
s_down = attr.ib(0)
s_timeout = attr.ib(... | netising/forward_flux.py | import sys
import time
import attr
import numpy as np
import tqdm
from .utils import stat_str
class FFSampler:
pass
@attr.s
class FFInterface:
order = attr.ib(type=float)
states = attr.ib(factory=list)
log10_rate = attr.ib(0.0)
s_up = attr.ib(0)
s_down = attr.ib(0)
s_timeout = attr.ib(... | 0.327561 | 0.169131 |
import sys
import cv2 as cv
from PyQt5.QtCore import QMimeData, QPointF, Qt, QObject, pyqtSlot, QSize, QAbstractListModel, QRectF
from PyQt5.QtGui import QImage, QPixmap, QDrag, QPainter, QStandardItemModel, QIcon, QPen
from PyQt5.QtWidgets import (QApplication, QDialog, QFileDialog, QGridLayout,
... | main.py | import sys
import cv2 as cv
from PyQt5.QtCore import QMimeData, QPointF, Qt, QObject, pyqtSlot, QSize, QAbstractListModel, QRectF
from PyQt5.QtGui import QImage, QPixmap, QDrag, QPainter, QStandardItemModel, QIcon, QPen
from PyQt5.QtWidgets import (QApplication, QDialog, QFileDialog, QGridLayout,
... | 0.124094 | 0.056757 |
import pickle
import random
import string
import time
from libs.ShowapiRequest import ShowapiRequest
from PIL import Image
import os
def get_logger():
import logging
import logging.handlers
import datetime
logger = logging.getLogger('mylogger')
logger.setLevel(logging.DEBUG)
rf_handler = lo... | my_selenium_project/util/util.py | import pickle
import random
import string
import time
from libs.ShowapiRequest import ShowapiRequest
from PIL import Image
import os
def get_logger():
import logging
import logging.handlers
import datetime
logger = logging.getLogger('mylogger')
logger.setLevel(logging.DEBUG)
rf_handler = lo... | 0.247351 | 0.066448 |
import numpy as np
from menpo.transform import Homogeneous, Scale
def tcoords_to_image_coords(image_shape):
r"""
Returns a :map:`Homogeneous` transform that converts [0,1]
texture coordinates (tcoords) used on :map:`TexturedTriMesh`
instances to image coordinates, which behave just like image landmark... | menpo/transform/tcoords.py | import numpy as np
from menpo.transform import Homogeneous, Scale
def tcoords_to_image_coords(image_shape):
r"""
Returns a :map:`Homogeneous` transform that converts [0,1]
texture coordinates (tcoords) used on :map:`TexturedTriMesh`
instances to image coordinates, which behave just like image landmark... | 0.919154 | 0.874721 |
import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
from scipy import stats
import scipy.integrate as integrate
def read_data(file_name):
f = open(file_name, 'r')
line1 = f.readline()
#names1 = line1.replace('#', ' ').split()
data_read = pd.read_csv(f, sep="\s+", na... | src/confusion_factor/histo_confusion.py | import numpy as np
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
from scipy import stats
import scipy.integrate as integrate
def read_data(file_name):
f = open(file_name, 'r')
line1 = f.readline()
#names1 = line1.replace('#', ' ').split()
data_read = pd.read_csv(f, sep="\s+", na... | 0.213213 | 0.511107 |
import spacepy
import spacepy.pybats.bats as bts
import sys
sys.path.append('/Users/sgraf/Desktop/SWMFtools')
sys.path.append('/Users/sgraf/Desktop/SWMFtools/dBdt')
import util
import matplotlib.pyplot as plt
import matplotlib
import supermag_parser
import spacepy.plot as splot
splot.style('spacepy')
plt.rcParams["leg... | code/results_look.py | import spacepy
import spacepy.pybats.bats as bts
import sys
sys.path.append('/Users/sgraf/Desktop/SWMFtools')
sys.path.append('/Users/sgraf/Desktop/SWMFtools/dBdt')
import util
import matplotlib.pyplot as plt
import matplotlib
import supermag_parser
import spacepy.plot as splot
splot.style('spacepy')
plt.rcParams["leg... | 0.431824 | 0.273065 |
import logging
from drf_yasg import openapi
from drf_yasg.utils import swagger_auto_schema
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from catalog.packages.biz.vnf_pkg_subscription import CreateSubscription
from catalog.packages.biz.vnf_pkg_... | catalog/packages/views/vnf_package_subscription_views.py |
import logging
from drf_yasg import openapi
from drf_yasg.utils import swagger_auto_schema
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from catalog.packages.biz.vnf_pkg_subscription import CreateSubscription
from catalog.packages.biz.vnf_pkg_... | 0.69368 | 0.066055 |
from segmentaciones import *
from random import *
c11 = Componente(11, randrange(20))
c12 = Componente(12, randrange(20))
c13 = Componente(13, randrange(20))
c14 = Componente(14, randrange(20))
c21 = Componente(21, randrange(20))
c22 = Componente(22, randrange(20))
c23 = Componente(23, randrange(20))
c24 = Componente(... | sandbox/test_vecinos.py | from segmentaciones import *
from random import *
c11 = Componente(11, randrange(20))
c12 = Componente(12, randrange(20))
c13 = Componente(13, randrange(20))
c14 = Componente(14, randrange(20))
c21 = Componente(21, randrange(20))
c22 = Componente(22, randrange(20))
c23 = Componente(23, randrange(20))
c24 = Componente(... | 0.190385 | 0.092442 |
import numpy as np
def identity(z):
"""Identity function...
Args:
z (np.array)
Returns:
f(z) = z (np.array)
"""
return z
def dfdz_identity(z):
"""Derivative of the Identity function...
Args:
z (np.array)
Returns:
df(z)/dz = 1.0 (np.array)
"""
... | MachineLearningLibrary/NeuralNetworks/NeuralNetworkUtilities.py | import numpy as np
def identity(z):
"""Identity function...
Args:
z (np.array)
Returns:
f(z) = z (np.array)
"""
return z
def dfdz_identity(z):
"""Derivative of the Identity function...
Args:
z (np.array)
Returns:
df(z)/dz = 1.0 (np.array)
"""
... | 0.948155 | 0.761561 |
import habitat_sim
import habitat_sim.agent
default_sim_settings = {
# settings shared by example.py and benchmark.py
"max_frames": 1000,
"width": 640,
"height": 480,
"default_agent": 0,
"sensor_height": 1.5,
"color_sensor": True, # RGB sensor (default: ON)
"semantic_sensor": False, ... | examples/settings.py |
import habitat_sim
import habitat_sim.agent
default_sim_settings = {
# settings shared by example.py and benchmark.py
"max_frames": 1000,
"width": 640,
"height": 480,
"default_agent": 0,
"sensor_height": 1.5,
"color_sensor": True, # RGB sensor (default: ON)
"semantic_sensor": False, ... | 0.655557 | 0.330809 |
import os,sys,tty,termios
from datetime import datetime
from rpi.inputs import *
from rpi.camerainfo import *
ESC=27
ENTER=13
SPACE=32
exposure=1
framenumber=1
frame_default=1
digits=4
digits_default=4
quality_default=90
artist=""
artistfile="artist.txt"
# Uncomment to overide red and blue gains
# Calibration gains ... | python/capturepics.py |
import os,sys,tty,termios
from datetime import datetime
from rpi.inputs import *
from rpi.camerainfo import *
ESC=27
ENTER=13
SPACE=32
exposure=1
framenumber=1
frame_default=1
digits=4
digits_default=4
quality_default=90
artist=""
artistfile="artist.txt"
# Uncomment to overide red and blue gains
# Calibration gains ... | 0.07817 | 0.085786 |
import MMCorePy
def cat(config):
"""Concatenate config."""
return '\n'.join(config.getVerbose().split('<br>'))
devlabel = 'Camera'
DEVICE = [devlabel, 'DemoCamera', 'DCam']
# DEVICE = [devlabel, 'OpenCVgrabber', 'OpenCVgrabber']
# DEVICE = [devlabel, "BaumerOptronic", "BaumerOptronic"]
mmc = MMCorePy.CMMCor... | mm_configuration/mm_config_manual.py | import MMCorePy
def cat(config):
"""Concatenate config."""
return '\n'.join(config.getVerbose().split('<br>'))
devlabel = 'Camera'
DEVICE = [devlabel, 'DemoCamera', 'DCam']
# DEVICE = [devlabel, 'OpenCVgrabber', 'OpenCVgrabber']
# DEVICE = [devlabel, "BaumerOptronic", "BaumerOptronic"]
mmc = MMCorePy.CMMCor... | 0.520253 | 0.087175 |
import re
from kaa.filetype.default import defaultmode
from kaa.syntax_highlight import *
JavaScriptThemes = {
'basic': [],
}
KEYWORDS = ["break", "case", "catch", "continue", "debugger", "default",
"delete", "do", "else", "finally", "for", "function", "if", "in",
"instanceof", "new", "re... | kaa/filetype/javascript/javascriptmode.py | import re
from kaa.filetype.default import defaultmode
from kaa.syntax_highlight import *
JavaScriptThemes = {
'basic': [],
}
KEYWORDS = ["break", "case", "catch", "continue", "debugger", "default",
"delete", "do", "else", "finally", "for", "function", "if", "in",
"instanceof", "new", "re... | 0.309754 | 0.188473 |
import csv
import keras
import numpy as np
import matplotlib.pyplot as plt
from SerbianStemmer import stem_sentence
def clean_word(word):
word = word.lower()
word = word.replace("š", "sx")
word = word.replace("č", "cx")
word = word.replace("ć", "cy")
word = word.replace("đ", "dx")
word = word.replace("ž", "zx")
... | classification.py | import csv
import keras
import numpy as np
import matplotlib.pyplot as plt
from SerbianStemmer import stem_sentence
def clean_word(word):
word = word.lower()
word = word.replace("š", "sx")
word = word.replace("č", "cx")
word = word.replace("ć", "cy")
word = word.replace("đ", "dx")
word = word.replace("ž", "zx")
... | 0.27338 | 0.323727 |
import sys
from typing import List, Any
import warnings
import random
from itertools import cycle
import torch
from torch.utils.data import IterableDataset
from utils.hdfs_io import hopen, hlist_files
class DistLineReadingDataset(IterableDataset): # pylint: disable=W0223
"""
iterate a set of folders.
"... | dataset/dist_dataset.py |
import sys
from typing import List, Any
import warnings
import random
from itertools import cycle
import torch
from torch.utils.data import IterableDataset
from utils.hdfs_io import hopen, hlist_files
class DistLineReadingDataset(IterableDataset): # pylint: disable=W0223
"""
iterate a set of folders.
"... | 0.471953 | 0.21264 |
import math
from abc import abstractmethod
from numbers import (Rational,
Real)
from typing import (Any,
Optional,
Tuple,
Union)
from cfractions import Fraction
from reprit.base import generate_repr
from .expression import Expression
fro... | symba/core/constant.py | import math
from abc import abstractmethod
from numbers import (Rational,
Real)
from typing import (Any,
Optional,
Tuple,
Union)
from cfractions import Fraction
from reprit.base import generate_repr
from .expression import Expression
fro... | 0.905557 | 0.428771 |
from typing import List
import copy
import numpy as np
from ding.envs import BaseEnv, BaseEnvTimestep, BaseEnvInfo
from ding.envs.common.env_element import EnvElement, EnvElementInfo
from ding.utils import ENV_REGISTRY
from .atari_env import AtariEnv, ATARIENV_INFO_DICT
@ENV_REGISTRY.register('atari_multi_discrete')... | dizoo/atari/envs/atari_multi_discrete_env.py | from typing import List
import copy
import numpy as np
from ding.envs import BaseEnv, BaseEnvTimestep, BaseEnvInfo
from ding.envs.common.env_element import EnvElement, EnvElementInfo
from ding.utils import ENV_REGISTRY
from .atari_env import AtariEnv, ATARIENV_INFO_DICT
@ENV_REGISTRY.register('atari_multi_discrete')... | 0.457379 | 0.171477 |
import logging
from beartype import beartype
from numpy.random import RandomState
from UQpy.sampling.stratified_sampling.baseclass.StratifiedSampling import StratifiedSampling
from UQpy.distributions import DistributionContinuous1D, JointIndependent
from UQpy.sampling.stratified_sampling.strata import RectangularStrat... | src/UQpy/sampling/stratified_sampling/TrueStratifiedSampling.py | import logging
from beartype import beartype
from numpy.random import RandomState
from UQpy.sampling.stratified_sampling.baseclass.StratifiedSampling import StratifiedSampling
from UQpy.distributions import DistributionContinuous1D, JointIndependent
from UQpy.sampling.stratified_sampling.strata import RectangularStrat... | 0.888275 | 0.552419 |
import json
import discord
from discord.ext import commands
from discord_slash import SlashCommand, SlashContext
from discord_slash.utils.manage_commands import create_option
import youtube_dl
guilds_ids = [
# enter yere guild ids
]
with open('token.json') as jj:
data = json.load(jj)
tk = data[0]['token']... | bot_slash.py | import json
import discord
from discord.ext import commands
from discord_slash import SlashCommand, SlashContext
from discord_slash.utils.manage_commands import create_option
import youtube_dl
guilds_ids = [
# enter yere guild ids
]
with open('token.json') as jj:
data = json.load(jj)
tk = data[0]['token']... | 0.28877 | 0.0809 |
from os.path import dirname, join
import numpy as np
from pysph.examples._db_geometry import DamBreak3DGeometry
from pysph.base.kernels import WendlandQuintic
from pysph.base.utils import get_particle_array_rigid_body
from pysph.sph.equation import Group
from pysph.sph.basic_equations import ContinuityEquation, XSPH... | pysph/examples/rigid_body/dam_break3D_sph.py | from os.path import dirname, join
import numpy as np
from pysph.examples._db_geometry import DamBreak3DGeometry
from pysph.base.kernels import WendlandQuintic
from pysph.base.utils import get_particle_array_rigid_body
from pysph.sph.equation import Group
from pysph.sph.basic_equations import ContinuityEquation, XSPH... | 0.557123 | 0.391929 |
from edna.serializers import Serializable
from edna.ingest.streaming import BaseStreamingIngest
from typing import Dict
import confluent_kafka, confluent_kafka.admin
from time import sleep
import socket
class KafkaIngest(BaseStreamingIngest):
"""KafkaIngest streams records from a provided kafka topic into the Jo... | python/edna/src/edna/ingest/streaming/KafkaIngest.py | from edna.serializers import Serializable
from edna.ingest.streaming import BaseStreamingIngest
from typing import Dict
import confluent_kafka, confluent_kafka.admin
from time import sleep
import socket
class KafkaIngest(BaseStreamingIngest):
"""KafkaIngest streams records from a provided kafka topic into the Jo... | 0.606149 | 0.132627 |
import hashlib
import logging
from typing import List, Union
from great_expectations.exceptions import exceptions as ge_exceptions
from great_expectations.execution_engine.split_and_sample.data_splitter import (
DataSplitter,
DatePart,
)
logger = logging.getLogger(__name__)
try:
import pyspark
import... | great_expectations/execution_engine/split_and_sample/sparkdf_data_splitter.py | import hashlib
import logging
from typing import List, Union
from great_expectations.exceptions import exceptions as ge_exceptions
from great_expectations.execution_engine.split_and_sample.data_splitter import (
DataSplitter,
DatePart,
)
logger = logging.getLogger(__name__)
try:
import pyspark
import... | 0.898639 | 0.610628 |
import difflib
from django.contrib.comments.models import Comment
from django.db import models
from django.utils.translation import ugettext as _
from block_comment.diff_match_patch import diff_match_patch
class BlockComment(Comment):
'''
``BlockComment`` extends Django's comments framework to store informa... | block_comment/models.py |
import difflib
from django.contrib.comments.models import Comment
from django.db import models
from django.utils.translation import ugettext as _
from block_comment.diff_match_patch import diff_match_patch
class BlockComment(Comment):
'''
``BlockComment`` extends Django's comments framework to store informa... | 0.591369 | 0.380241 |
import array
from collections import namedtuple
import pathlib
import time
from .clock import stabilize_frame
from .code import dispatch
from .config import Config
from .debug import Disassembler
from .errors import ChippyError
from .processor import ExecutionUnit
from .status import Mode
from .window import buzz, Wi... | chippy/chippy.py |
import array
from collections import namedtuple
import pathlib
import time
from .clock import stabilize_frame
from .code import dispatch
from .config import Config
from .debug import Disassembler
from .errors import ChippyError
from .processor import ExecutionUnit
from .status import Mode
from .window import buzz, Wi... | 0.615781 | 0.229686 |
import os
import random
import _pickle as pickle
import tensorflow as tf
from tensorflow.keras.callbacks import LearningRateScheduler
import numpy as np
from models.model import Sherbet, SherbetFeature
from models.loss import medical_codes_loss
from metrics import EvaluateCodesCallBack, EvaluateHFCallBack
from utils ... | train.py | import os
import random
import _pickle as pickle
import tensorflow as tf
from tensorflow.keras.callbacks import LearningRateScheduler
import numpy as np
from models.model import Sherbet, SherbetFeature
from models.loss import medical_codes_loss
from metrics import EvaluateCodesCallBack, EvaluateHFCallBack
from utils ... | 0.601711 | 0.155271 |
import sys
import numpy
import llvm.core
import qy
from qy import (
get_qy,
Function,
Variable,
StridedArray,
StridedArrays,
)
from llvm.core import (
Type,
Constant,
)
from cargo.log import get_logger
logger = get_logger(__name__)
def log_add_double(x, y):
"""
R... | src/python/cargo/statistics/mixture.py | import sys
import numpy
import llvm.core
import qy
from qy import (
get_qy,
Function,
Variable,
StridedArray,
StridedArrays,
)
from llvm.core import (
Type,
Constant,
)
from cargo.log import get_logger
logger = get_logger(__name__)
def log_add_double(x, y):
"""
R... | 0.677261 | 0.412619 |
import logging
from pathlib import Path
from typing import Set
from core import constants, utils
from core.config import ConfigString
from core.emane import emanemodel
from core.emane.nodes import EmaneNet
from core.nodes.interface import CoreInterface
logger = logging.getLogger(__name__)
class EmaneTdmaModel(emane... | daemon/core/emane/models/tdma.py | import logging
from pathlib import Path
from typing import Set
from core import constants, utils
from core.config import ConfigString
from core.emane import emanemodel
from core.emane.nodes import EmaneNet
from core.nodes.interface import CoreInterface
logger = logging.getLogger(__name__)
class EmaneTdmaModel(emane... | 0.706697 | 0.105395 |
import os
import time
from tqdm import tqdm
import torch
import torch.nn as nn
from metrics.loss_metric import LossMetric
from metrics.accuracy_metric import AccuracyMetric
from metrics.classification_learning_curves import ClassificationLearningCurves
class ClassifierTrainer:
def __init__(self, device, model,... | classifier_trainer.py | import os
import time
from tqdm import tqdm
import torch
import torch.nn as nn
from metrics.loss_metric import LossMetric
from metrics.accuracy_metric import AccuracyMetric
from metrics.classification_learning_curves import ClassificationLearningCurves
class ClassifierTrainer:
def __init__(self, device, model,... | 0.825238 | 0.212865 |
import django
from django.forms import MultiValueField, CharField
from attributesjsonfield.widgets import AttributesJSONWidget
class AttributesJSONField(MultiValueField):
""" """
widget = AttributesJSONWidget
def __init__(self, *args, attributes=None, require_all_fields=False, **kwargs):
self.... | attributesjsonfield/forms/fields.py | import django
from django.forms import MultiValueField, CharField
from attributesjsonfield.widgets import AttributesJSONWidget
class AttributesJSONField(MultiValueField):
""" """
widget = AttributesJSONWidget
def __init__(self, *args, attributes=None, require_all_fields=False, **kwargs):
self.... | 0.402862 | 0.109206 |
from __future__ import unicode_literals
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Cha... | server/trees/migrations/0001_initial.py | from __future__ import unicode_literals
import django.contrib.gis.db.models.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Cha... | 0.619932 | 0.16228 |
import requests
import time
import json
import argparse
print(' ')
print(""" ||||||| | | |||||||| | |
| | | | || | |
||||||| | | || ||||||
| | | | || | |
| | ||||||... | AuthBypass.py |
import requests
import time
import json
import argparse
print(' ')
print(""" ||||||| | | |||||||| | |
| | | | || | |
||||||| | | || ||||||
| | | | || | |
| | ||||||... | 0.114814 | 0.129348 |
import gzip
from collections.abc import Iterator, Iterable
import pandas as pd
def events_from_file(event_path, compression="gzip"):
"""
Yields events for all events in a gzipped event file.
Parameters
----------
event_path : str
path to gzipped event file
compression : str
i... | pyndl/io.py | import gzip
from collections.abc import Iterator, Iterable
import pandas as pd
def events_from_file(event_path, compression="gzip"):
"""
Yields events for all events in a gzipped event file.
Parameters
----------
event_path : str
path to gzipped event file
compression : str
i... | 0.740644 | 0.392744 |
from pyre import Pyre
from pyre import zhelper
import threading
import zmq
import uuid
import logging
import json
import time
from uniflex.core import modules
from uniflex.core import events
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2015, Technische Universitat Berlin"
__version__ = "0.1.0"
__email__ = <EM... | apps/discovery_pyre/uniflex_app_discovery_pyre/pyre_discovery_slave_module.py | from pyre import Pyre
from pyre import zhelper
import threading
import zmq
import uuid
import logging
import json
import time
from uniflex.core import modules
from uniflex.core import events
__author__ = "<NAME>"
__copyright__ = "Copyright (c) 2015, Technische Universitat Berlin"
__version__ = "0.1.0"
__email__ = <EM... | 0.344443 | 0.059183 |
def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
import torch
import torch.nn as nn
from torchvision import transforms
import sys
sys.path.append('/opt/cocoapi/PythonAPI')
from pycocotools.coco import COCO
from data_loader import get_loader
from data_loader_val import get_loader_val
from model ... | train.py | def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
import torch
import torch.nn as nn
from torchvision import transforms
import sys
sys.path.append('/opt/cocoapi/PythonAPI')
from pycocotools.coco import COCO
from data_loader import get_loader
from data_loader_val import get_loader_val
from model ... | 0.616936 | 0.423875 |