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 os
import sys
def get_parent_cases(curr_dir_path):
cases = os.listdir(curr_dir_path + '/Cases')
pop = cases.index('baseCase')
cases.pop(pop)
return cases
def mkSampleDict(sampleDict_path):
original_stdout = sys.stdout # Save console as an output stream.
with open(sampleDict_path, "w") ... | cases/caseFoamEx/mkSampleDict.py | import os
import sys
def get_parent_cases(curr_dir_path):
cases = os.listdir(curr_dir_path + '/Cases')
pop = cases.index('baseCase')
cases.pop(pop)
return cases
def mkSampleDict(sampleDict_path):
original_stdout = sys.stdout # Save console as an output stream.
with open(sampleDict_path, "w") ... | 0.222109 | 0.064535 |
import configparser
import logging
import os
from .utils import is_dos_style_abspath
from .variables import Args, Dir
class ConfigFile:
"""Configuration file."""
def __init__(self, configfile):
"""
Initialize ConfigFile object.
configfile: Path to configuration file
"""
... | truckersmp_cli/configfile.py | import configparser
import logging
import os
from .utils import is_dos_style_abspath
from .variables import Args, Dir
class ConfigFile:
"""Configuration file."""
def __init__(self, configfile):
"""
Initialize ConfigFile object.
configfile: Path to configuration file
"""
... | 0.472927 | 0.104569 |
from __future__ import print_function
from ..compat import queue
from ..event import EventType
from datetime import datetime
class Backtest(object):
"""
Enscapsulates the settings and components for
carrying out an event-driven backtest.
"""
def __init__(
self, price_handler, strategy, p... | nctrader/trading_session/backtest.py | from __future__ import print_function
from ..compat import queue
from ..event import EventType
from datetime import datetime
class Backtest(object):
"""
Enscapsulates the settings and components for
carrying out an event-driven backtest.
"""
def __init__(
self, price_handler, strategy, p... | 0.600071 | 0.209308 |
import hashlib
import re
import requests
import warnings
from io import StringIO
import urllib
from typing import Any, List, Tuple, Union
import pyopenms as oms
import numpy as np
import pronto
from Bio import SeqIO, SeqRecord
"""
Utility functions that do not contribute directly to QC calculations
"""
def sha256fr... | qccalculator/utils.py | import hashlib
import re
import requests
import warnings
from io import StringIO
import urllib
from typing import Any, List, Tuple, Union
import pyopenms as oms
import numpy as np
import pronto
from Bio import SeqIO, SeqRecord
"""
Utility functions that do not contribute directly to QC calculations
"""
def sha256fr... | 0.871105 | 0.442637 |
# Libraries and Global Variables
# Standard
import sys
import os
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
# Third-party
# Local
sys.path.append(os.getcwd())
import mysql_rep_admin
import version
__version__ = version.__version__
class MasterRep(object):
"""Cla... | test/unit/mysql_rep_admin/add_miss_slaves.py | # Libraries and Global Variables
# Standard
import sys
import os
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unittest
# Third-party
# Local
sys.path.append(os.getcwd())
import mysql_rep_admin
import version
__version__ = version.__version__
class MasterRep(object):
"""Cla... | 0.414899 | 0.404919 |
from .__init__ import print_msg_box
import sys
def dijkstra_algorithm(graph, hint=False):
global visited_and_distance
# Providing the graph
vertices = []
for x in graph:
vertices.append([int(y) for y in input().split()])
edges = []
for x in graph:
edges.append([int(y) for ... | edualgo/graph_algorithms/Dijkstra_algorithms.py | from .__init__ import print_msg_box
import sys
def dijkstra_algorithm(graph, hint=False):
global visited_and_distance
# Providing the graph
vertices = []
for x in graph:
vertices.append([int(y) for y in input().split()])
edges = []
for x in graph:
edges.append([int(y) for ... | 0.528777 | 0.671432 |
from xenon.base.datatypes import IntParam, StrParam, BoolParam
PARTITION = "partition"
BLOCK = "block"
CYCLIC = "cyclic"
COMPLETE = "complete"
SPAD = "spad"
CACHE = "cache"
NO_UNROLL = 1
FLATTEN = 0
def shortSizeToInt(size_str):
""" Go from 16kB -> 16384. """
if size_str.endswith("kB"):
return int(size_str[:... | sweeps/benchmarks/params.py |
from xenon.base.datatypes import IntParam, StrParam, BoolParam
PARTITION = "partition"
BLOCK = "block"
CYCLIC = "cyclic"
COMPLETE = "complete"
SPAD = "spad"
CACHE = "cache"
NO_UNROLL = 1
FLATTEN = 0
def shortSizeToInt(size_str):
""" Go from 16kB -> 16384. """
if size_str.endswith("kB"):
return int(size_str[:... | 0.510741 | 0.196036 |
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (QGridLayout, QSizePolicy, QToolBar, QToolButton,
QWidget)
from .ribbon import Ribbon
class ToolbarRibbon(Ribbon):
"""A ribbon with helpers for containing toolbars
"""
def add_toolbar(self, title=None, toolbar=None):
... | inselect/gui/toolbar_ribbon.py | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (QGridLayout, QSizePolicy, QToolBar, QToolButton,
QWidget)
from .ribbon import Ribbon
class ToolbarRibbon(Ribbon):
"""A ribbon with helpers for containing toolbars
"""
def add_toolbar(self, title=None, toolbar=None):
... | 0.648578 | 0.108236 |
from typing import Optional, List, Dict, Tuple, Union
from pydantic import BaseModel, validator
import datetime
import json
import re
from pydantic.typing import NoneType
class PostBase(BaseModel):
id: Optional[int] = None
author_id: Optional[int] = None
created_at: Optional[datetime.datetime]
slug: ... | backend/app/schemas/post.py | from typing import Optional, List, Dict, Tuple, Union
from pydantic import BaseModel, validator
import datetime
import json
import re
from pydantic.typing import NoneType
class PostBase(BaseModel):
id: Optional[int] = None
author_id: Optional[int] = None
created_at: Optional[datetime.datetime]
slug: ... | 0.886654 | 0.247646 |
import os
import json
import traceback
import glog as log
from flask import Flask, request, jsonify
from multivitamin.module import Module
from multivitamin.data import Request, Response
PORT = os.environ.get("PORT", 8888)
class WebServer(Flask):
def __init__(self, modules, port=PORT):
"""Serves as th... | multivitamin/web_server.py | import os
import json
import traceback
import glog as log
from flask import Flask, request, jsonify
from multivitamin.module import Module
from multivitamin.data import Request, Response
PORT = os.environ.get("PORT", 8888)
class WebServer(Flask):
def __init__(self, modules, port=PORT):
"""Serves as th... | 0.54577 | 0.118054 |
from PyQt5.QtWidgets import QWidget, QMessageBox
from PyQt5 import QtCore
class PopUpWrapper(QWidget):
def __init__(self, title, msg, more=None, yesMes=None, noMes=None,
actionWhenYes=None, actionWhenNo=None, parent=None):
super().__init__()
self.width = 320
self.heigh... | PopUp.py | from PyQt5.QtWidgets import QWidget, QMessageBox
from PyQt5 import QtCore
class PopUpWrapper(QWidget):
def __init__(self, title, msg, more=None, yesMes=None, noMes=None,
actionWhenYes=None, actionWhenNo=None, parent=None):
super().__init__()
self.width = 320
self.heigh... | 0.526586 | 0.055005 |
import os
from time import perf_counter
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from PIL import Image
from sparse import sparse
import torch
import torch.nn.functional as F
from torch.utils.data import Dataset
import torchvision.transforms.functional as TF
from util import *
class Mol... | dataloader.py | import os
from time import perf_counter
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from PIL import Image
from sparse import sparse
import torch
import torch.nn.functional as F
from torch.utils.data import Dataset
import torchvision.transforms.functional as TF
from util import *
class Mol... | 0.578924 | 0.28402 |
import pandas as pd
"""
@author : <NAME> (<EMAIL>)
Sampling Policy that `Wins' on most measures.
"""
def getRank(df, r):
ranks = df[df['policy'] == r]['rank'].values.tolist()
if len(ranks) != 1:
return 'error'
return ranks[0]
def updateMap(ruleScoreMap, df, add=True):
selectionRule = df['p... | scratch_tables.py | import pandas as pd
"""
@author : <NAME> (<EMAIL>)
Sampling Policy that `Wins' on most measures.
"""
def getRank(df, r):
ranks = df[df['policy'] == r]['rank'].values.tolist()
if len(ranks) != 1:
return 'error'
return ranks[0]
def updateMap(ruleScoreMap, df, add=True):
selectionRule = df['p... | 0.602646 | 0.365485 |
from pathlib import Path
from base_SUT import BASE_3DUNET_SUT
import tensorflow as tf
class _3DUNET_TensorFlow_SUT(BASE_3DUNET_SUT):
"""
A class to represent SUT (System Under Test) for MLPerf.
This inherits BASE_3DUNET_SUT and builds functionality for TensorFlow.
Attributes
----------
sut... | closed/FuriosaAI/code/inference/vision/medical_imaging/3d-unet-kits19/tensorflow_SUT.py |
from pathlib import Path
from base_SUT import BASE_3DUNET_SUT
import tensorflow as tf
class _3DUNET_TensorFlow_SUT(BASE_3DUNET_SUT):
"""
A class to represent SUT (System Under Test) for MLPerf.
This inherits BASE_3DUNET_SUT and builds functionality for TensorFlow.
Attributes
----------
sut... | 0.925099 | 0.486392 |
import json
import re
from pathlib import Path
from typing import List
from setuptools import find_packages, setup
VERSION_RE = re.compile(r'^__version__ = \'([\w\d\.]+)\'', re.MULTILINE)
def read(*fp):
return Path(*fp).read_text('utf-8')
def write(*fp, data):
return Path(*fp).write_text(data, 'utf-8')
def... | setup.py |
import json
import re
from pathlib import Path
from typing import List
from setuptools import find_packages, setup
VERSION_RE = re.compile(r'^__version__ = \'([\w\d\.]+)\'', re.MULTILINE)
def read(*fp):
return Path(*fp).read_text('utf-8')
def write(*fp, data):
return Path(*fp).write_text(data, 'utf-8')
def... | 0.592667 | 0.178633 |
from armulator.armv6.opcodes.abstract_opcode import AbstractOpcode
from armulator.armv6.bits_ops import add, sub
from bitstring import BitArray
from armulator.armv6.arm_exceptions import UndefinedInstructionException
from armulator.armv6.enums import InstrSet
class LdmExceptionReturn(AbstractOpcode):
def __init__... | armulator/armv6/opcodes/abstract_opcodes/ldm_exception_return.py | from armulator.armv6.opcodes.abstract_opcode import AbstractOpcode
from armulator.armv6.bits_ops import add, sub
from bitstring import BitArray
from armulator.armv6.arm_exceptions import UndefinedInstructionException
from armulator.armv6.enums import InstrSet
class LdmExceptionReturn(AbstractOpcode):
def __init__... | 0.554591 | 0.112356 |
import sys
import argparse
import fileinput
import hcl, json
import functools, operator
def to_json(string, indent):
return json.dumps(hcl.loads(string), indent=indent)
def to_tfvars(payload, indent):
if not isinstance(payload, dict):
return
def recurse(item, level=0):
if isinstance(it... | json2tfvars.py |
import sys
import argparse
import fileinput
import hcl, json
import functools, operator
def to_json(string, indent):
return json.dumps(hcl.loads(string), indent=indent)
def to_tfvars(payload, indent):
if not isinstance(payload, dict):
return
def recurse(item, level=0):
if isinstance(it... | 0.39222 | 0.145813 |
import feedparser
from inflection import parameterize
from mako.template import Template
from datetime import datetime
import requests, json
def parse_alt_xkcd(entry):
parsed_description = feedparser.parse(entry['description'])
return parsed_description['feed']['img']['title']
parse_description = lambda entry: en... | main.py | import feedparser
from inflection import parameterize
from mako.template import Template
from datetime import datetime
import requests, json
def parse_alt_xkcd(entry):
parsed_description = feedparser.parse(entry['description'])
return parsed_description['feed']['img']['title']
parse_description = lambda entry: en... | 0.256925 | 0.168173 |
import numpy as np
import datetime
import pandas as pd
data_init = pd.read_csv('../Data/IBP_classes_categories.csv')
ibp_mins = data_init.n_f.to_numpy()
ibp_maxs = data_init.n_to.to_numpy()
ibpv = np.r_[ibp_mins, ibp_maxs[-1]]
sg = pd.read_csv('../Data/sg.csv')
sg = sg[(sg.evolucaoCaso != 'Óbito' ) & (sg.evolucaoC... | RISK FACTORS AND DISEASE PROFILE OF SARS-COV-2 INFECTIONS IN BRAZIL_A RETROSPECTIVE STUDY/Code/SG_agrupados.py | import numpy as np
import datetime
import pandas as pd
data_init = pd.read_csv('../Data/IBP_classes_categories.csv')
ibp_mins = data_init.n_f.to_numpy()
ibp_maxs = data_init.n_to.to_numpy()
ibpv = np.r_[ibp_mins, ibp_maxs[-1]]
sg = pd.read_csv('../Data/sg.csv')
sg = sg[(sg.evolucaoCaso != 'Óbito' ) & (sg.evolucaoC... | 0.081233 | 0.157914 |
import random
from django.conf import settings
from django.db.models import Max
from django.utils.timezone import now
import factory
import factory.fuzzy
from rapidsms import models as rapidsms_models
from civil_registry.models import Citizen
from civil_registry.tests.factories import CitizenFactory
from libya_electi... | register/tests/factories.py | import random
from django.conf import settings
from django.db.models import Max
from django.utils.timezone import now
import factory
import factory.fuzzy
from rapidsms import models as rapidsms_models
from civil_registry.models import Citizen
from civil_registry.tests.factories import CitizenFactory
from libya_electi... | 0.636466 | 0.189915 |
class Console:
def __init__(self, driver):
self.driver = driver
def xScript(self ,method='log', argument_index = 0):
return '{0}.{1}(arguments[{2}]);'.format('console', method, argument_index)
def clear(self):
self.driver.execute_script(
self.xScript... | seleniumjs/Console.py | class Console:
def __init__(self, driver):
self.driver = driver
def xScript(self ,method='log', argument_index = 0):
return '{0}.{1}(arguments[{2}]);'.format('console', method, argument_index)
def clear(self):
self.driver.execute_script(
self.xScript... | 0.270769 | 0.113408 |
# use tdklib library,which provides a wrapper for tdk testcase script
import tdklib;
#Test component to be tested
obj = tdklib.TDKScriptingLibrary("rbus","1");
#IP and Port of box, No need to change,
#This will be replaced with correspoing Box Ip and port while executing script
ip = <ipaddress>
port = <port>
obj.conf... | testscripts/RDKB/component/RBUS/TS_RBUS_GetSessionID.py | # use tdklib library,which provides a wrapper for tdk testcase script
import tdklib;
#Test component to be tested
obj = tdklib.TDKScriptingLibrary("rbus","1");
#IP and Port of box, No need to change,
#This will be replaced with correspoing Box Ip and port while executing script
ip = <ipaddress>
port = <port>
obj.conf... | 0.393269 | 0.354768 |
from view import ViewController
from state_controller import StateController
from canvas import Canvas
# For input
import tty
import sys
import termios
class Controller:
"""Controls views and user input"""
def __init__(self, path_to_file: str):
image = self.load_image(path_to_file)
self.path_t... | controller.py | from view import ViewController
from state_controller import StateController
from canvas import Canvas
# For input
import tty
import sys
import termios
class Controller:
"""Controls views and user input"""
def __init__(self, path_to_file: str):
image = self.load_image(path_to_file)
self.path_t... | 0.407098 | 0.264786 |
import os
import argparse
import ctypes
import string
import random
import stat
import traceback
import sys
import tempfile
import time
class Cleanup:
def __init__(self):
self.__directories = set()
self.__mounts = set()
self.__files = set()
self.__remounts = {}
def add_file(se... | mount-host-directory-inside-container.py | import os
import argparse
import ctypes
import string
import random
import stat
import traceback
import sys
import tempfile
import time
class Cleanup:
def __init__(self):
self.__directories = set()
self.__mounts = set()
self.__files = set()
self.__remounts = {}
def add_file(se... | 0.21215 | 0.055695 |
__all__ = ["Targpg", "tglog"]
import gzip
import logging
import sys
import tarfile
from getpass import getpass
from io import BytesIO
from pathlib import Path
from typing import Optional, Union
from gnupg import GPG
from .meta import __author__, __version__
PROG_NAME = Path(__file__).stem
tglog = logging.getLogger... | targpg/targpg.py | __all__ = ["Targpg", "tglog"]
import gzip
import logging
import sys
import tarfile
from getpass import getpass
from io import BytesIO
from pathlib import Path
from typing import Optional, Union
from gnupg import GPG
from .meta import __author__, __version__
PROG_NAME = Path(__file__).stem
tglog = logging.getLogger... | 0.602296 | 0.102215 |
expected_output = {
"rsvp-neighbor-information": {
"rsvp-neighbor": [
{
"hello-interval": "9",
"hellos-received": "0",
"hellos-sent": "187",
"last-changed-time": "27:54",
"messages-received": "0",
"ne... | src/genie/libs/parser/junos/tests/ShowRSVPNeighborDetail/cli/equal/golden_output_1_expected.py | expected_output = {
"rsvp-neighbor-information": {
"rsvp-neighbor": [
{
"hello-interval": "9",
"hellos-received": "0",
"hellos-sent": "187",
"last-changed-time": "27:54",
"messages-received": "0",
"ne... | 0.529507 | 0.362405 |
from arq import create_pool
from arq.connections import RedisSettings
from json import dumps
from pymongo import ASCENDING
from utils import utils
import constants
from models.discussion import Discussion
from models.user import User
from models.unit import (
Unit,
Position
)
from models.link import Link
from mod... | backend/src/managers/board_manager.py | from arq import create_pool
from arq.connections import RedisSettings
from json import dumps
from pymongo import ASCENDING
from utils import utils
import constants
from models.discussion import Discussion
from models.user import User
from models.unit import (
Unit,
Position
)
from models.link import Link
from mod... | 0.378115 | 0.194865 |
import inspect
import sys
import os
import sources
import processors
import sinks
class _Job:
@classmethod
def setup_parser(cls, parser):
parser.set_defaults(func=cls.execute)
class PrepareISWC(_Job):
"""Prepares recipe data for the ISWC paper."""
name = "iswc"
@classmethod
def set... | src/recipe-handler/jobs.py |
import inspect
import sys
import os
import sources
import processors
import sinks
class _Job:
@classmethod
def setup_parser(cls, parser):
parser.set_defaults(func=cls.execute)
class PrepareISWC(_Job):
"""Prepares recipe data for the ISWC paper."""
name = "iswc"
@classmethod
def set... | 0.414306 | 0.141074 |
from decimal import Decimal
from typing import Type
import pytest
from nodes import (
AddNode,
AndNode,
AssignmentNode,
BinaryCompExprNode,
DivideNode,
DoubleEqualsNode,
GreaterThanNode,
GreaterThanOrEqualsNode,
LessThanNode,
LessThanOrEqualsNode,
MinusNode,
ModuloNode,... | interpreter/test_interpreter.py | from decimal import Decimal
from typing import Type
import pytest
from nodes import (
AddNode,
AndNode,
AssignmentNode,
BinaryCompExprNode,
DivideNode,
DoubleEqualsNode,
GreaterThanNode,
GreaterThanOrEqualsNode,
LessThanNode,
LessThanOrEqualsNode,
MinusNode,
ModuloNode,... | 0.844762 | 0.724882 |
import os
from files.core import const
from files.config import gluecode as config
def run(proj_path, target_name, params):
return {
"project_name": "ezored",
"version": "1.0.0",
"build_types": ["Debug", "Release"],
"archs": [
{
"arch": "armv7",
... | files/config/target_ios.py | import os
from files.core import const
from files.config import gluecode as config
def run(proj_path, target_name, params):
return {
"project_name": "ezored",
"version": "1.0.0",
"build_types": ["Debug", "Release"],
"archs": [
{
"arch": "armv7",
... | 0.335351 | 0.218482 |
import struct
import yaml
import os
from .parser import parse_asm
from .patch import split_part, generate_object, get_metadata_object, generate_binary_patch
from .util import read_file, parse_hex_to_int
from .linker import read_linker_files
#TODO: use and abuse of map reduce
def batchpatch(
gas_path,
gld_path,... | asmpatch/batch.py | import struct
import yaml
import os
from .parser import parse_asm
from .patch import split_part, generate_object, get_metadata_object, generate_binary_patch
from .util import read_file, parse_hex_to_int
from .linker import read_linker_files
#TODO: use and abuse of map reduce
def batchpatch(
gas_path,
gld_path,... | 0.169646 | 0.329931 |
def read_all_usv(adir_usv):
# this subroutine reads in all the saildrone data for all cruises and normalizes variable names
# input directory with files
# output dictionary of datasets
import xarray as xr
import numpy as np
from glob import glob
import os
#list names of vari... | sat_collocation/dmi/read_routines_dmi.py |
def read_all_usv(adir_usv):
# this subroutine reads in all the saildrone data for all cruises and normalizes variable names
# input directory with files
# output dictionary of datasets
import xarray as xr
import numpy as np
from glob import glob
import os
#list names of vari... | 0.177954 | 0.262558 |
import json
import numpy as np
from matplotlib import pyplot as plt
from pathlib import Path
mainPath = Path('/yourpathhere/')
folderPath5 = mainPath.joinpath('MNIST_5Dim')
folderPath50 = mainPath.joinpath('MNIST_50Dim')
folderPath75 = mainPath.joinpath('MNIST_75Dim')
folderPath100 = mainPath.joinpath('MNIST_100Dim')
... | Plotting/myPlotting.py | import json
import numpy as np
from matplotlib import pyplot as plt
from pathlib import Path
mainPath = Path('/yourpathhere/')
folderPath5 = mainPath.joinpath('MNIST_5Dim')
folderPath50 = mainPath.joinpath('MNIST_50Dim')
folderPath75 = mainPath.joinpath('MNIST_75Dim')
folderPath100 = mainPath.joinpath('MNIST_100Dim')
... | 0.611498 | 0.491273 |
import json
import sys
import unittest
import mb
class FakeMBW(mb.MetaBuildWrapper):
def __init__(self):
super(FakeMBW, self).__init__()
self.files = {}
self.calls = []
self.out = ''
self.err = ''
self.platform = 'linux2'
self.chromium_src_dir = '/fake_src'
self.default_config = '/f... | Source/chrome/tools/mb/mb_unittest.py | import json
import sys
import unittest
import mb
class FakeMBW(mb.MetaBuildWrapper):
def __init__(self):
super(FakeMBW, self).__init__()
self.files = {}
self.calls = []
self.out = ''
self.err = ''
self.platform = 'linux2'
self.chromium_src_dir = '/fake_src'
self.default_config = '/f... | 0.31944 | 0.121947 |
import pandas as pd
import numpy as np
from unnet.samplers import IdentitySampler
def dummy_tqdm(args):
return args
class GraphPipeline:
"""A simple Graph pipeline
The generator is used to generate a graphs which are then measures by the measure class
MISSING:
- uncertainty modification... | unnet/pipeline.py | import pandas as pd
import numpy as np
from unnet.samplers import IdentitySampler
def dummy_tqdm(args):
return args
class GraphPipeline:
"""A simple Graph pipeline
The generator is used to generate a graphs which are then measures by the measure class
MISSING:
- uncertainty modification... | 0.649467 | 0.346624 |
import pyautogui
import time
# NOTE: PLEASE DEFINE ROI BASED ON FIRST AND LAST IMAGES BEFORE RUNNING PROGRAM
# THEN CLICK 'IF TENSION' BUTTON AND OPEN WINDOWS AS SHOWN IN
# automated_if_tension_clicking_screen.ppt
# parameters
get_location = False
n_ims = 376 # number of images to analyze
d = 0 # duration of moving ... | src/util_clicking/auto_compute_if_tension.py | import pyautogui
import time
# NOTE: PLEASE DEFINE ROI BASED ON FIRST AND LAST IMAGES BEFORE RUNNING PROGRAM
# THEN CLICK 'IF TENSION' BUTTON AND OPEN WINDOWS AS SHOWN IN
# automated_if_tension_clicking_screen.ppt
# parameters
get_location = False
n_ims = 376 # number of images to analyze
d = 0 # duration of moving ... | 0.238905 | 0.126812 |
import torch
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
import numpy as np
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
super(EncoderCNN, self).__init__()
resnet = models.resnet50(pretrained=True)
for param in resnet.parameters... | imcaption/model.py | import torch
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
import numpy as np
class EncoderCNN(nn.Module):
def __init__(self, embed_size):
super(EncoderCNN, self).__init__()
resnet = models.resnet50(pretrained=True)
for param in resnet.parameters... | 0.929991 | 0.498108 |
import unittest
import os
from datetime import datetime
from pybrowscap.loader.csv import load_file
from pybrowscap.loader import Browscap, TYPE_CSV
class LoaderTest(unittest.TestCase):
browscap_file1 = os.path.join(os.path.dirname(__file__), '..', '..', 'data', 'browscap_14_05_2012.csv')
browscap_file2 = o... | pybrowscap/test/loader/csv/test_loader.py | import unittest
import os
from datetime import datetime
from pybrowscap.loader.csv import load_file
from pybrowscap.loader import Browscap, TYPE_CSV
class LoaderTest(unittest.TestCase):
browscap_file1 = os.path.join(os.path.dirname(__file__), '..', '..', 'data', 'browscap_14_05_2012.csv')
browscap_file2 = o... | 0.330795 | 0.356727 |
import sys
import os
py_path = os.path.abspath(os.path.dirname(os.path.abspath(__file__)))
py_path = os.path.join(py_path, "..", "..", "..", "..", "Examples/LanguageUnderstanding/")
sys.path.insert(0, py_path)
print(py_path)
module_path = os.path.join(py_path, 'ReasoNet')
import cntk.device as device
import numpy as n... | Tests/EndToEndTests/CNTKv2Python/Examples/reasonet_test.py | import sys
import os
py_path = os.path.abspath(os.path.dirname(os.path.abspath(__file__)))
py_path = os.path.join(py_path, "..", "..", "..", "..", "Examples/LanguageUnderstanding/")
sys.path.insert(0, py_path)
print(py_path)
module_path = os.path.join(py_path, 'ReasoNet')
import cntk.device as device
import numpy as n... | 0.335677 | 0.174797 |
__author__ = '<NAME> (japinol)'
from random import randint
from snakes.actors import Actor
from snakes.apples import Apple, AppleType
from snakes.bats import Bat, BatType
from snakes.bullets import Bullet
from snakes.cartridges import Cartridge, CartridgeType
from snakes.mines import Mine, MineType
from sn... | snakes/levels.py | __author__ = '<NAME> (japinol)'
from random import randint
from snakes.actors import Actor
from snakes.apples import Apple, AppleType
from snakes.bats import Bat, BatType
from snakes.bullets import Bullet
from snakes.cartridges import Cartridge, CartridgeType
from snakes.mines import Mine, MineType
from sn... | 0.550607 | 0.141341 |
from flask import Flask, request
import json
import numpy as np
from skimage.transform import resize
from . import predict as pred
from . import transform_data as td
from . import config as cf
flask_app = Flask(__name__)
host = cf.HOST
port = cf.BACKEND_PORT
# load model
learn = pred.fetch_learner()
@flask_app.... | src/backend_api.py |
from flask import Flask, request
import json
import numpy as np
from skimage.transform import resize
from . import predict as pred
from . import transform_data as td
from . import config as cf
flask_app = Flask(__name__)
host = cf.HOST
port = cf.BACKEND_PORT
# load model
learn = pred.fetch_learner()
@flask_app.... | 0.752195 | 0.198744 |
import numpy as np
import os
from keras.models import Model
from keras import backend as K
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint
import tensorflow as tf
class NetworkManager:
'''
Helper class to manage the generation of subnetwork training given a dataset
'''
de... | manager.py | import numpy as np
import os
from keras.models import Model
from keras import backend as K
from keras.optimizers import Adam
from keras.callbacks import ModelCheckpoint
import tensorflow as tf
class NetworkManager:
'''
Helper class to manage the generation of subnetwork training given a dataset
'''
de... | 0.911481 | 0.580738 |
import numpy as np
import os
import pandas as pd
import re
import sys
from pathlib import Path
from datetime import datetime, timedelta
# ...
#
def main(args):
source, destination, states_file, field = parse_args(args)
df = pd.read_csv(source, encoding = "ISO-8859-1", engine='python')
target_date_st... | scripts/processing/generate_timeseries.py | import numpy as np
import os
import pandas as pd
import re
import sys
from pathlib import Path
from datetime import datetime, timedelta
# ...
#
def main(args):
source, destination, states_file, field = parse_args(args)
df = pd.read_csv(source, encoding = "ISO-8859-1", engine='python')
target_date_st... | 0.193262 | 0.199659 |
import pytest
from pydantic import BaseModel
from typing import Optional
class Sample(BaseModel):
string: Optional[str] = None
number: int = 0
precise: float = 0.0
@pytest.fixture(scope='function')
def rest_app(app, db):
app.pipeline = [db.pipe]
mod = app.mongorest_module(
__name__, 's... | tests/test_endpoints_additional.py |
import pytest
from pydantic import BaseModel
from typing import Optional
class Sample(BaseModel):
string: Optional[str] = None
number: int = 0
precise: float = 0.0
@pytest.fixture(scope='function')
def rest_app(app, db):
app.pipeline = [db.pipe]
mod = app.mongorest_module(
__name__, 's... | 0.799051 | 0.481332 |
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
# Created at UC Berkeley 2015
# Authors: <NAME>
# ==============================================================================
'''This code presents summary statistics for MHG syllables used for scansion
ba... | CLFL_sum_stats.py | from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
# Created at UC Berkeley 2015
# Authors: <NAME>
# ==============================================================================
'''This code presents summary statistics for MHG syllables used for scansion
ba... | 0.405213 | 0.240529 |
import numpy as np
import pybullet as p
from ravens.tasks import Task
from ravens import utils
class Stacking(Task):
def __init__(self):
super().__init__()
self.ee = 'suction'
self.max_steps = 12
self.metric = 'pose'
self.primitive = 'pick_place'
self.rotation_ep... | ravens/tasks/stacking.py |
import numpy as np
import pybullet as p
from ravens.tasks import Task
from ravens import utils
class Stacking(Task):
def __init__(self):
super().__init__()
self.ee = 'suction'
self.max_steps = 12
self.metric = 'pose'
self.primitive = 'pick_place'
self.rotation_ep... | 0.525369 | 0.23351 |
import numpy as np
import pandas as pd
import keras
from keras.datasets import fashion_mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.utils import np_utils
import matplotlib.pyplot as plt
np.random.seed(7)
(X_train,y_t... | img_classify.py | import numpy as np
import pandas as pd
import keras
from keras.datasets import fashion_mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.utils import np_utils
import matplotlib.pyplot as plt
np.random.seed(7)
(X_train,y_t... | 0.876951 | 0.628065 |
import argparse
import csv
import logging
import re
import json
import sys
import warnings
import os
from itertools import chain, repeat
from operator import itemgetter
from gensim import corpora, models
from gensim.utils import lemmatize
from gensim.parsing.preprocessing import STOPWORDS
from gensim.models import Phra... | gensim_engine.py | import argparse
import csv
import logging
import re
import json
import sys
import warnings
import os
from itertools import chain, repeat
from operator import itemgetter
from gensim import corpora, models
from gensim.utils import lemmatize
from gensim.parsing.preprocessing import STOPWORDS
from gensim.models import Phra... | 0.487307 | 0.163179 |
from fabric.api import run, local, env
import os
import yaml
from pprint import pprint
from typing import Optional
print('Loading config from `config.yaml`')
with open('config.yaml', 'r') as f:
env_vars = yaml.load(f, Loader=yaml.SafeLoader)
pprint(env_vars)
full_path = os.path.dirname(os.path.abspath(__file__))... | {{cookiecutter.project_name}}/fabfile.py | from fabric.api import run, local, env
import os
import yaml
from pprint import pprint
from typing import Optional
print('Loading config from `config.yaml`')
with open('config.yaml', 'r') as f:
env_vars = yaml.load(f, Loader=yaml.SafeLoader)
pprint(env_vars)
full_path = os.path.dirname(os.path.abspath(__file__))... | 0.469277 | 0.064831 |
import base64
import os
import time
from PIL import Image
from hashlib import sha1
import requests
params = {"token": "", # github 第三方客户端授权token
# 用户
"user": "",
# 项目名称
"project": "",
# 文件路径
"path": "img",
# 提交备注
"message": "img commit",
... | upload.py | import base64
import os
import time
from PIL import Image
from hashlib import sha1
import requests
params = {"token": "", # github 第三方客户端授权token
# 用户
"user": "",
# 项目名称
"project": "",
# 文件路径
"path": "img",
# 提交备注
"message": "img commit",
... | 0.139866 | 0.108425 |
import numpy as np
from pathlib import Path
from sklearn import datasets
from unittest.mock import patch
from pyclustertend import vat, ivat, compute_ordered_dissimilarity_matrix, compute_ivat_ordered_dissimilarity_matrix
TEST_DIR = Path(__file__).resolve().parent
def test_compute_ordered_dissimilarity_matrix():
... | tests/test_visual_assessment_of_tendency.py | import numpy as np
from pathlib import Path
from sklearn import datasets
from unittest.mock import patch
from pyclustertend import vat, ivat, compute_ordered_dissimilarity_matrix, compute_ivat_ordered_dissimilarity_matrix
TEST_DIR = Path(__file__).resolve().parent
def test_compute_ordered_dissimilarity_matrix():
... | 0.742702 | 0.704141 |
# Please change all directories to yours!
import sys
sys.path.append('/home/bmieth/scRNAseq/implementations')
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
def plot_percs_optmix(fig_num,res, res_opt_mix_ind,res_opt_mix_aris, accs_desc, method_desc... | scripts/plots/main_plots_generated_data.py |
# Please change all directories to yours!
import sys
sys.path.append('/home/bmieth/scRNAseq/implementations')
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
def plot_percs_optmix(fig_num,res, res_opt_mix_ind,res_opt_mix_aris, accs_desc, method_desc... | 0.449876 | 0.487856 |
from sqlalchemy import ARRAY, BigInteger, Boolean, CHAR, Column, Date, DateTime, Float, Integer, \
JSON, LargeBinary, Numeric, SmallInteger, String, Text, Time, text, PrimaryKeyConstraint, Table, UniqueConstraint
from sqlalchemy.dialects.postgresql import INTERVAL, JSONB, UUID
from sqlalchemy.orm import declarative... | tests/test_implementations/test_memory_sqlalchemy/error_test/test_create_table_with_more_than_one_unique_but_no_use_composite.py | from sqlalchemy import ARRAY, BigInteger, Boolean, CHAR, Column, Date, DateTime, Float, Integer, \
JSON, LargeBinary, Numeric, SmallInteger, String, Text, Time, text, PrimaryKeyConstraint, Table, UniqueConstraint
from sqlalchemy.dialects.postgresql import INTERVAL, JSONB, UUID
from sqlalchemy.orm import declarative... | 0.574514 | 0.20268 |
from django.shortcuts import render, HttpResponse, redirect
from app_shopping import models
from utils.pager import PageInfo
from backend.forms import Commodity
import os
# Create your views here.
def index(request):
return render(request, 'backend_index.html')
def manage_commodity(request, *args, **kwargs):
... | shopping_index/backend/views.py | from django.shortcuts import render, HttpResponse, redirect
from app_shopping import models
from utils.pager import PageInfo
from backend.forms import Commodity
import os
# Create your views here.
def index(request):
return render(request, 'backend_index.html')
def manage_commodity(request, *args, **kwargs):
... | 0.228415 | 0.071526 |
import pandas as pd
import numpy as np
from joblib import load
if __name__ == '__main__':
# Set value of 1 corresponding to the symptom
symptoms = {'itching': 1, 'skin_rash': 1, 'nodal_skin_eruptions': 0, 'continuous_sneezing': 0,
'shivering': 0, 'chills': 0, 'joint_pain': 0, 'stomach_... | infer.py | import pandas as pd
import numpy as np
from joblib import load
if __name__ == '__main__':
# Set value of 1 corresponding to the symptom
symptoms = {'itching': 1, 'skin_rash': 1, 'nodal_skin_eruptions': 0, 'continuous_sneezing': 0,
'shivering': 0, 'chills': 0, 'joint_pain': 0, 'stomach_... | 0.50293 | 0.264122 |
import os
import time
import json
import csv
from datetime import datetime, timedelta
from typing import List, Dict
import logging
import tweepy
class TwitterScraper:
"""
Basic scraping utility for Twitter based on Twython
"""
def __init__(self, path: str) -> None:
"""
Constructor
... | scrape_utils/python/twitter.py | import os
import time
import json
import csv
from datetime import datetime, timedelta
from typing import List, Dict
import logging
import tweepy
class TwitterScraper:
"""
Basic scraping utility for Twitter based on Twython
"""
def __init__(self, path: str) -> None:
"""
Constructor
... | 0.55447 | 0.158044 |
from engine import next_pvc_move
import utils
def return_rows(size):
return [[i*size+j for j in range(size)] for i in range(size)]
def return_cols(size):
return [[i+j*size for j in range(size)] for i in range(size)]
def return_diags(size):
main_diag = [i*(size+1) for i in range(size)]
off_diag = [... | tic_tac_toe.py | from engine import next_pvc_move
import utils
def return_rows(size):
return [[i*size+j for j in range(size)] for i in range(size)]
def return_cols(size):
return [[i+j*size for j in range(size)] for i in range(size)]
def return_diags(size):
main_diag = [i*(size+1) for i in range(size)]
off_diag = [... | 0.352313 | 0.290477 |
import tempfile
try:
import zarr
except ModuleNotFoundError:
zarr = None
import cftime
from datetime import timedelta
import pytest
try:
import xarray as xr
except ModuleNotFoundError:
xr = None
import copy
import fv3gfs.util
import logging
from fv3gfs.util.testing import DummyComm
requires_zarr = py... | tests/test_zarr_monitor.py | import tempfile
try:
import zarr
except ModuleNotFoundError:
zarr = None
import cftime
from datetime import timedelta
import pytest
try:
import xarray as xr
except ModuleNotFoundError:
xr = None
import copy
import fv3gfs.util
import logging
from fv3gfs.util.testing import DummyComm
requires_zarr = py... | 0.359926 | 0.467514 |
import numpy as np
import math as m
import torch.nn as nn
import torch
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.interpolate import griddata
from torch.utils.data.dataset import Dataset
import torch.optim as optim
from sklearn.preprocessing import scale
from scipy.signal import resample
from t... | Utils.py | import numpy as np
import math as m
import torch.nn as nn
import torch
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.interpolate import griddata
from torch.utils.data.dataset import Dataset
import torch.optim as optim
from sklearn.preprocessing import scale
from scipy.signal import resample
from t... | 0.904108 | 0.508727 |
import os
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
import tensorflow as tf
tf.compat.v1.enable_eager_execution()
import pyredner_tensorflow as pyredner
pyredner.set_use_gpu(tf.test.is_gpu_available(cuda_only=True, min_cuda_compute_capability=None))
position = tf.Variable([1.0, 0.0, -3.0], dtype=tf.float32)
lo... | tests_tensorflow/test_camera_distortion.py | import os
os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
import tensorflow as tf
tf.compat.v1.enable_eager_execution()
import pyredner_tensorflow as pyredner
pyredner.set_use_gpu(tf.test.is_gpu_available(cuda_only=True, min_cuda_compute_capability=None))
position = tf.Variable([1.0, 0.0, -3.0], dtype=tf.float32)
lo... | 0.667581 | 0.352592 |
import logging
from typing import List, Optional
from overrides import overrides
import torch
from allennlp.training.learning_rate_schedulers.learning_rate_scheduler import LearningRateScheduler
logger = logging.getLogger(__name__)
@LearningRateScheduler.register("slanted_triangular")
class SlantedTriangular(Lear... | simplejson_test/testdata/allennlp/training/learning_rate_schedulers/tmp.py | import logging
from typing import List, Optional
from overrides import overrides
import torch
from allennlp.training.learning_rate_schedulers.learning_rate_scheduler import LearningRateScheduler
logger = logging.getLogger(__name__)
@LearningRateScheduler.register("slanted_triangular")
class SlantedTriangular(Lear... | 0.871871 | 0.423279 |
from pathlib import Path
import pytest
from leicaimage import Experiment
from leicaimage.experiment import (
_ADDITIONAL_DATA,
_SCANNING_TEMPLATE,
PathAttributes,
attribute,
attribute_as_str,
attributes,
)
REL_IMAGE_PATH = (
Path("slide--S00")
/ "chamber--U00--V00"
/ "field--X00--... | tests/test_experiment.py | from pathlib import Path
import pytest
from leicaimage import Experiment
from leicaimage.experiment import (
_ADDITIONAL_DATA,
_SCANNING_TEMPLATE,
PathAttributes,
attribute,
attribute_as_str,
attributes,
)
REL_IMAGE_PATH = (
Path("slide--S00")
/ "chamber--U00--V00"
/ "field--X00--... | 0.716715 | 0.567727 |
from morepath import redirect
from onegov.core.crypto import random_token
from onegov.core.security import Private
from onegov.core.security import Public
from onegov.core.static import StaticFile
from onegov.core.utils import normalize_for_url
from onegov.file.integration import render_depot_file
from onegov.file.util... | src/onegov/swissvotes/views/vote.py | from morepath import redirect
from onegov.core.crypto import random_token
from onegov.core.security import Private
from onegov.core.security import Public
from onegov.core.static import StaticFile
from onegov.core.utils import normalize_for_url
from onegov.file.integration import render_depot_file
from onegov.file.util... | 0.50708 | 0.087369 |
import random
import json
from requests import get
# Get Random useragent
def RandomUSERagent():
fp = open('user_agents.txt', 'r')
Content = fp.read()
CoList = Content.split('\n')
USER_AGENTS_LIST = []
for i in CoList:
try:
USER_AGENTS_LIST.append(i)
except:
pass
return random.choice(USER_AGENTS... | utils.py | import random
import json
from requests import get
# Get Random useragent
def RandomUSERagent():
fp = open('user_agents.txt', 'r')
Content = fp.read()
CoList = Content.split('\n')
USER_AGENTS_LIST = []
for i in CoList:
try:
USER_AGENTS_LIST.append(i)
except:
pass
return random.choice(USER_AGENTS... | 0.14685 | 0.080213 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import io
import requests
import subprocess
import time
import numpy as np
from PIL import Image
from PIL import ImageEnhance
import tflite_runtime.interpreter as tflite
#TODO: use a context... | src/garage_detect.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import io
import requests
import subprocess
import time
import numpy as np
from PIL import Image
from PIL import ImageEnhance
import tflite_runtime.interpreter as tflite
#TODO: use a context... | 0.285571 | 0.128334 |
from typing import Any, List, Tuple
from asyncio import gather
from fastapi import Path, Depends, APIRouter
from sqlalchemy.ext.asyncio import AsyncSession
from pol import sa, res, curd
from pol.res import ErrorDetail, not_found_exception
from pol.router import ErrorCatchRoute
from pol.depends import get_db
from pol.... | pol/api/v0/revision.py | from typing import Any, List, Tuple
from asyncio import gather
from fastapi import Path, Depends, APIRouter
from sqlalchemy.ext.asyncio import AsyncSession
from pol import sa, res, curd
from pol.res import ErrorDetail, not_found_exception
from pol.router import ErrorCatchRoute
from pol.depends import get_db
from pol.... | 0.587588 | 0.127544 |
class Emotion:
def __init__(self, name="joy", intensity=0):
self.name = name
self.intensity = intensity
def __str__(self):
return "Emotion: name(" + self.name + "), intensity(" + str(self.intensity) + ")."
class Goal:
def __init__(self, name="main", utility=1.0, isMain... | py/gamygdala/concepts.py | class Emotion:
def __init__(self, name="joy", intensity=0):
self.name = name
self.intensity = intensity
def __str__(self):
return "Emotion: name(" + self.name + "), intensity(" + str(self.intensity) + ")."
class Goal:
def __init__(self, name="main", utility=1.0, isMain... | 0.596668 | 0.115986 |
import multiprocessing
import os
import time
from tests.constants import Image, Message, Gpu, InstanceType
from tests.test_utils import TestUtils, TestWrapper
# Workflow
def test_user_creates_a_run_without_gpu_requirements_successfully():
parameters = '((1,),(2,))'
file = os.path.dirname(os.path.abspath(__fi... | tests/test_create_run.py | import multiprocessing
import os
import time
from tests.constants import Image, Message, Gpu, InstanceType
from tests.test_utils import TestUtils, TestWrapper
# Workflow
def test_user_creates_a_run_without_gpu_requirements_successfully():
parameters = '((1,),(2,))'
file = os.path.dirname(os.path.abspath(__fi... | 0.357455 | 0.229535 |
from typing import Union
from pygls.lsp.methods import (
TEXT_DOCUMENT_DID_CHANGE,
TEXT_DOCUMENT_DID_CLOSE,
TEXT_DOCUMENT_DID_OPEN,
)
from pygls.lsp.types import (
Diagnostic,
DidChangeTextDocumentParams,
DidCloseTextDocumentParams,
DidOpenTextDocumentParams,
Position,
Range,
)
from... | cp2k_input_tools/ls.py | from typing import Union
from pygls.lsp.methods import (
TEXT_DOCUMENT_DID_CHANGE,
TEXT_DOCUMENT_DID_CLOSE,
TEXT_DOCUMENT_DID_OPEN,
)
from pygls.lsp.types import (
Diagnostic,
DidChangeTextDocumentParams,
DidCloseTextDocumentParams,
DidOpenTextDocumentParams,
Position,
Range,
)
from... | 0.628635 | 0.200479 |
import unittest
import numpy as np
import gym
import random
import argparse
import sys
from environment import AtariGymEnvironment
from replay_memory import ReplayMemory, ScreenHistory
from matplotlib import pyplot as plt
def create_parser():
#parser = argparse.ArgumentParser(prog="test_memoy.py", description="... | q_learning/test_memory.py | import unittest
import numpy as np
import gym
import random
import argparse
import sys
from environment import AtariGymEnvironment
from replay_memory import ReplayMemory, ScreenHistory
from matplotlib import pyplot as plt
def create_parser():
#parser = argparse.ArgumentParser(prog="test_memoy.py", description="... | 0.424173 | 0.560553 |
from test import Test
from position import Position
from queen import Queen
from chess import Chess
class Test_Queen (Test):
def __init__(self, game):
self.game = game
self.position = Position(self.game,'E5')
self.game.empty_board()
self.game.place_piece(Queen(self.game, Chess.WHITE... | test_queen.py | from test import Test
from position import Position
from queen import Queen
from chess import Chess
class Test_Queen (Test):
def __init__(self, game):
self.game = game
self.position = Position(self.game,'E5')
self.game.empty_board()
self.game.place_piece(Queen(self.game, Chess.WHITE... | 0.617974 | 0.591251 |
"""Function Work View."""
import locale
from pubsub import pub # pylint: disable=E0401
# Import other RTK modules.
from Utilities import boolean_to_integer
from gui.gtk import rtk # pylint: disable=E0401
from gui.gtk.rtk.Widget import _, gtk # pylint: disable=E0401,W0611
from .WorkView import RTKWorkView
class ... | rtk/gui/gtk/workviews/Function.py | """Function Work View."""
import locale
from pubsub import pub # pylint: disable=E0401
# Import other RTK modules.
from Utilities import boolean_to_integer
from gui.gtk import rtk # pylint: disable=E0401
from gui.gtk.rtk.Widget import _, gtk # pylint: disable=E0401,W0611
from .WorkView import RTKWorkView
class ... | 0.789234 | 0.222774 |
from django.core.management.base import BaseCommand, CommandError
from simple_history.models import HistoricalRecords
from members.models import User
from members.models import Tag,User
from acl.models import Machine,Location,PermitType,Entitlement
from memberbox.models import Memberbox
from storage.models import Stor... | members/management/commands/import-machines.py | from django.core.management.base import BaseCommand, CommandError
from simple_history.models import HistoricalRecords
from members.models import User
from members.models import Tag,User
from acl.models import Machine,Location,PermitType,Entitlement
from memberbox.models import Memberbox
from storage.models import Stor... | 0.341034 | 0.101233 |
import cv2
import numpy as np
def increment_blinker(blink_counter, blink_flag, blink_duration=8):
blink_counter += 1
if blink_counter >= blink_duration * 2:
blink_flag = True
blink_counter = 0
elif blink_counter >= blink_duration:
blink_flag = False
return blink_counter, blink... | particlizer/round_up_game.py | import cv2
import numpy as np
def increment_blinker(blink_counter, blink_flag, blink_duration=8):
blink_counter += 1
if blink_counter >= blink_duration * 2:
blink_flag = True
blink_counter = 0
elif blink_counter >= blink_duration:
blink_flag = False
return blink_counter, blink... | 0.364664 | 0.233521 |
# This file is responsible for joystick support in Ren'Py.
import os
import pygame
import renpy.display
# Do we have a joystick enabled?
enabled = False
# The old states for each axis.
old_axis_states = { }
def init():
"""
Initialize the joystick system.
"""
global enabled
if not renpy.confi... | renpy/display/joystick.py |
# This file is responsible for joystick support in Ren'Py.
import os
import pygame
import renpy.display
# Do we have a joystick enabled?
enabled = False
# The old states for each axis.
old_axis_states = { }
def init():
"""
Initialize the joystick system.
"""
global enabled
if not renpy.confi... | 0.384912 | 0.193528 |
import os
import glob
import clang
from clang import cindex
def find_clang(set_library_path=True, verbose=0):
"""Find installation of libclang.
python-clang does not know where to find libclang, so we have to do this
here almost manually.
"""
SUPPORTED_VERSIONS = ["6.0", "5.0", "4.0", "3.9", "3.8... | pywrap/libclang.py | import os
import glob
import clang
from clang import cindex
def find_clang(set_library_path=True, verbose=0):
"""Find installation of libclang.
python-clang does not know where to find libclang, so we have to do this
here almost manually.
"""
SUPPORTED_VERSIONS = ["6.0", "5.0", "4.0", "3.9", "3.8... | 0.353317 | 0.072834 |
import os, serial, time, math
# Commands
read_command = "$0wn01,71$1"
get_x = "$0wnA4rm$1"
get_y = "$0wnA7rm$1"
get_z = "$0wnAArm$1"
port = '/dev/ttyUSB0'
change_cc = "$0wn04,00,64,00,64,00,64$1"
fo = open("Plain.txt", "w+")
choices = {'a': 1, 'b': 2}
#regresa vector del campo magnetico usando los... | submain.py | import os, serial, time, math
# Commands
read_command = "$0wn01,71$1"
get_x = "$0wnA4rm$1"
get_y = "$0wnA7rm$1"
get_z = "$0wnAArm$1"
port = '/dev/ttyUSB0'
change_cc = "$0wn04,00,64,00,64,00,64$1"
fo = open("Plain.txt", "w+")
choices = {'a': 1, 'b': 2}
#regresa vector del campo magnetico usando los... | 0.318273 | 0.200891 |
import json
from pandajedi.jedimsgprocessor.base_msg_processor import BaseMsgProcPlugin
from pandacommon.pandalogger import logger_utils
# logger
base_logger = logger_utils.setup_logger(__name__.split('.')[-1])
# processing message processing plugin
class ProcessingMsgProcPlugin(BaseMsgProcPlugin):
def proce... | pandajedi/jedimsgprocessor/processing_msg_processor.py | import json
from pandajedi.jedimsgprocessor.base_msg_processor import BaseMsgProcPlugin
from pandacommon.pandalogger import logger_utils
# logger
base_logger = logger_utils.setup_logger(__name__.split('.')[-1])
# processing message processing plugin
class ProcessingMsgProcPlugin(BaseMsgProcPlugin):
def proce... | 0.15588 | 0.058804 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'GetReplicationTaskResult',
'AwaitableGetReplicationTaskResult',
'get_replication_task',
'get_replication_task_output',
]
@pulumi.output_type
... | sdk/python/pulumi_aws_native/dms/get_replication_task.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = [
'GetReplicationTaskResult',
'AwaitableGetReplicationTaskResult',
'get_replication_task',
'get_replication_task_output',
]
@pulumi.output_type
... | 0.770724 | 0.054777 |
from django.db.models import F, Q
from rest_framework.response import Response
from rest_framework.views import APIView
from usaspending_api.common.cache_decorator import cache_response
from usaspending_api.common.exceptions import InvalidParameterException
from usaspending_api.references.constants import EXCLUDE_CGAC
... | usaspending_api/references/v2/views/autocomplete.py | from django.db.models import F, Q
from rest_framework.response import Response
from rest_framework.views import APIView
from usaspending_api.common.cache_decorator import cache_response
from usaspending_api.common.exceptions import InvalidParameterException
from usaspending_api.references.constants import EXCLUDE_CGAC
... | 0.762954 | 0.158142 |
import datetime
from functools import wraps
from flask import Flask, request, jsonify, Response, make_response
from flask_pymongo import PyMongo
# hash password and check password
from werkzeug.security import generate_password_hash, check_password_hash
# jwt tokens
import jwt
# turn data mongo legible in json form... | FLASK/restapi_mongodb/flask_app.py | import datetime
from functools import wraps
from flask import Flask, request, jsonify, Response, make_response
from flask_pymongo import PyMongo
# hash password and check password
from werkzeug.security import generate_password_hash, check_password_hash
# jwt tokens
import jwt
# turn data mongo legible in json form... | 0.338296 | 0.097648 |
import numpy as np
import json
import pickle
import gtsam
from gtsam import symbol_shorthand, noiseModel, Marginals
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.art3d import Line3DCollection
from gtsam.utils import plot
from scipy.spatial.transform import Rotation
#camera
C = symbol_shorthand.C
#object
O... | pose_opt/pose_opt.py |
import numpy as np
import json
import pickle
import gtsam
from gtsam import symbol_shorthand, noiseModel, Marginals
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.art3d import Line3DCollection
from gtsam.utils import plot
from scipy.spatial.transform import Rotation
#camera
C = symbol_shorthand.C
#object
O... | 0.28607 | 0.499512 |
import unittest
from pathlib import Path
import shutil
from xml.etree import ElementTree
from pomosite import generate
content_path = str(Path(Path(__file__).parent, "data/test_templating"))
output_dir = "temp/test_url_for"
class TestUrlFor(unittest.TestCase):
@classmethod
def setUpClass(self):
p = P... | tests/test_url_for.py | import unittest
from pathlib import Path
import shutil
from xml.etree import ElementTree
from pomosite import generate
content_path = str(Path(Path(__file__).parent, "data/test_templating"))
output_dir = "temp/test_url_for"
class TestUrlFor(unittest.TestCase):
@classmethod
def setUpClass(self):
p = P... | 0.36977 | 0.444746 |
import unittest
from math import ceil
from zinglplotter import ZinglPlotter, Path, Arc
class TestZingl(unittest.TestCase):
def test_line(self):
for x, y in ZinglPlotter.plot_line(0, 0, 100, 100):
self.assertEqual(x, y)
for i, v in enumerate(ZinglPlotter.plot_line(0, 0, 100, 0)):
... | test/test_zingl.py | import unittest
from math import ceil
from zinglplotter import ZinglPlotter, Path, Arc
class TestZingl(unittest.TestCase):
def test_line(self):
for x, y in ZinglPlotter.plot_line(0, 0, 100, 100):
self.assertEqual(x, y)
for i, v in enumerate(ZinglPlotter.plot_line(0, 0, 100, 0)):
... | 0.363986 | 0.599808 |
import numpy as np
import matplotlib as plt
import torch
import torchvision
from torchvision import datasets, models, transforms
from torch.utils.data import DataLoader
import torch.nn.functional as Function
from torch import nn, optim
from torch.autograd import Variable
from PIL import Image
import json
from workspac... | train (9).py | import numpy as np
import matplotlib as plt
import torch
import torchvision
from torchvision import datasets, models, transforms
from torch.utils.data import DataLoader
import torch.nn.functional as Function
from torch import nn, optim
from torch.autograd import Variable
from PIL import Image
import json
from workspac... | 0.866345 | 0.403214 |
import urllib
import csv
from datetime import datetime, timedelta
import os.path
def emojiTranslate(confidence):
print "Confidence is " + str(confidence)
if confidence is "1":
return " 😵"
if confidence is "3":
return " 🙀"
if confidence is "5":
return " 😐"
if confidence is "7":
return " 🙂... | dogfood/sundayreminder.py | import urllib
import csv
from datetime import datetime, timedelta
import os.path
def emojiTranslate(confidence):
print "Confidence is " + str(confidence)
if confidence is "1":
return " 😵"
if confidence is "3":
return " 🙀"
if confidence is "5":
return " 😐"
if confidence is "7":
return " 🙂... | 0.104609 | 0.077483 |
from contextlib import closing
from datetime import datetime, timedelta, timezone
from random import randint
import sqlite3
from typing import List
from chillow.controller import OfflineController
from chillow.model.cell import Cell
from chillow.model.direction import Direction
from chillow.model.game import Game
from... | chillow/controller/ai_evaluation_controller.py | from contextlib import closing
from datetime import datetime, timedelta, timezone
from random import randint
import sqlite3
from typing import List
from chillow.controller import OfflineController
from chillow.model.cell import Cell
from chillow.model.direction import Direction
from chillow.model.game import Game
from... | 0.769297 | 0.259318 |
import logging
import time
import random
import mpisppy.log
import mpisppy.utils.sputils as sputils
import mpisppy.cylinders.spoke as spoke
from math import inf
from pyomo.opt import SolverFactory, SolverStatus, TerminationCondition
from mpisppy.phbase import PHBase
from mpisppy.utils.xhat_eval import Xhat_Eval
class... | mpisppy/cylinders/lshaped_bounder.py | import logging
import time
import random
import mpisppy.log
import mpisppy.utils.sputils as sputils
import mpisppy.cylinders.spoke as spoke
from math import inf
from pyomo.opt import SolverFactory, SolverStatus, TerminationCondition
from mpisppy.phbase import PHBase
from mpisppy.utils.xhat_eval import Xhat_Eval
class... | 0.274838 | 0.129761 |
import unittest
import textwrap
import arff
class BaseTestDecodeConversor(object):
# Note that we want to test the normalisation (e.g. handling of missing
# values and quoting), as well as conversion from string to value type.
# As such, we test the full loading process in several variants.
# See impl... | tests/test_conversor.py | import unittest
import textwrap
import arff
class BaseTestDecodeConversor(object):
# Note that we want to test the normalisation (e.g. handling of missing
# values and quoting), as well as conversion from string to value type.
# As such, we test the full loading process in several variants.
# See impl... | 0.679923 | 0.604953 |
import logging
from gi.repository import GObject, Gtk
from .dataset_row import DtoolDatasetRow
logger = logging.getLogger(__name__)
class DtoolDatasetListBox(Gtk.ListBox):
__gtype_name__ = 'DtoolDatasetListBox'
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._... | dtool_lookup_gui/widgets/dataset_list_box.py |
import logging
from gi.repository import GObject, Gtk
from .dataset_row import DtoolDatasetRow
logger = logging.getLogger(__name__)
class DtoolDatasetListBox(Gtk.ListBox):
__gtype_name__ = 'DtoolDatasetListBox'
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._... | 0.711531 | 0.227233 |
import argparse
import os
import cv2
from omegaconf import DictConfig
from mmf.utils.flags import flags
from mmf.utils.configuration import Configuration
from mmf.utils.env import set_seed, setup_imports
from mmf.utils.build import build_config
from mmf.utils.inference_resnet_bert_tdatt_triple import Inference_R_B_TT... | mmf_cli/manipulation_experiment.py | import argparse
import os
import cv2
from omegaconf import DictConfig
from mmf.utils.flags import flags
from mmf.utils.configuration import Configuration
from mmf.utils.env import set_seed, setup_imports
from mmf.utils.build import build_config
from mmf.utils.inference_resnet_bert_tdatt_triple import Inference_R_B_TT... | 0.133204 | 0.066085 |
import os, sys
import multiprocessing
import gensim
import io
import jieba
import numpy as np
import pyemd
import re
import scipy.spatial.distance
reload(sys)
sys.setdefaultencoding('utf-8')
try:
import cPickle as pickle
except:
import pickle
def filtering_content(line_content):
multi_version = re.compi... | demo_qa_retrieval.py | import os, sys
import multiprocessing
import gensim
import io
import jieba
import numpy as np
import pyemd
import re
import scipy.spatial.distance
reload(sys)
sys.setdefaultencoding('utf-8')
try:
import cPickle as pickle
except:
import pickle
def filtering_content(line_content):
multi_version = re.compi... | 0.256459 | 0.233947 |
import sys
import time
import click
from datacube.ui import click as ui
from datacube_alchemist._utils import _configure_logger
from datacube_alchemist import __version__
import structlog
from odc.aws.queue import get_queue
from datacube_alchemist.worker import Alchemist, get_messages
_LOG = structlog.get_logger()... | datacube_alchemist/cli.py | import sys
import time
import click
from datacube.ui import click as ui
from datacube_alchemist._utils import _configure_logger
from datacube_alchemist import __version__
import structlog
from odc.aws.queue import get_queue
from datacube_alchemist.worker import Alchemist, get_messages
_LOG = structlog.get_logger()... | 0.422147 | 0.161651 |
#ROS imports
import rospy
from geometry_msgs.msg import Twist
from haws.msg import Tags
from nav_msgs.msg import Path
from geometry_msgs.msg import PoseStamped
from tf.transformations import euler_from_quaternion
#python imports
from ha_model import *
import ha_model
import numpy as np
#robot pose and twist
robot_ps ... | src/haws/scripts/ws_model.py | #ROS imports
import rospy
from geometry_msgs.msg import Twist
from haws.msg import Tags
from nav_msgs.msg import Path
from geometry_msgs.msg import PoseStamped
from tf.transformations import euler_from_quaternion
#python imports
from ha_model import *
import ha_model
import numpy as np
#robot pose and twist
robot_ps ... | 0.335024 | 0.240975 |
__author__ = "<NAME>"
__copyright__ = "Unpublished Copyright (c) 2020 <NAME>. All Rights Reserved."
__license__ = "Apache Software License 2.0"
from abc import ABC, abstractmethod
from typing import Iterable
from inceptiontools.archetype_parameters import ArchetypeParameters
from inceptiontools.constants import UNIMP... | inceptiontools/archetype.py | __author__ = "<NAME>"
__copyright__ = "Unpublished Copyright (c) 2020 <NAME>. All Rights Reserved."
__license__ = "Apache Software License 2.0"
from abc import ABC, abstractmethod
from typing import Iterable
from inceptiontools.archetype_parameters import ArchetypeParameters
from inceptiontools.constants import UNIMP... | 0.903295 | 0.268776 |
import logging
import wx
import tcui, translator
gt = translator.Translator()
class ControlImageFile(wx.Panel):
"""Box containig the Image location controls"""
def __init__(self, parent, app):
"""parent, ref to app"""
logging.info("Creating image location controls")
wx.Panel.__init__... | tcui/controlImageFile.py |
import logging
import wx
import tcui, translator
gt = translator.Translator()
class ControlImageFile(wx.Panel):
"""Box containig the Image location controls"""
def __init__(self, parent, app):
"""parent, ref to app"""
logging.info("Creating image location controls")
wx.Panel.__init__... | 0.514888 | 0.077274 |
from django.db import models
from django.core.validators import MaxValueValidator, MinValueValidator
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
from .app_logic import calendar_functions
c... | spaceplanner/models.py | from django.db import models
from django.core.validators import MaxValueValidator, MinValueValidator
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
from .app_logic import calendar_functions
c... | 0.626581 | 0.061763 |
from flask import Flask, render_template, url_for, request, redirect, session
from flask_mysqldb import MySQL
import MySQLdb
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = ''
app.config['MYSQL_DB'] = 'login'
db = MySQL(app)
app.secret_... | flask_app.py |
from flask import Flask, render_template, url_for, request, redirect, session
from flask_mysqldb import MySQL
import MySQLdb
app = Flask(__name__)
app.config['MYSQL_HOST'] = 'localhost'
app.config['MYSQL_USER'] = 'root'
app.config['MYSQL_PASSWORD'] = ''
app.config['MYSQL_DB'] = 'login'
db = MySQL(app)
app.secret_... | 0.313315 | 0.041327 |
import numpy as np
from rockets.rocket import Rocket
class Starship(Rocket):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.radius = 4.5
self.height = 50
self.propellant_mass = 3.3e6
self.dry_mass = 120e3
self.max_thrust = 2e5 * 3
... | rockets/spacex.py | import numpy as np
from rockets.rocket import Rocket
class Starship(Rocket):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.radius = 4.5
self.height = 50
self.propellant_mass = 3.3e6
self.dry_mass = 120e3
self.max_thrust = 2e5 * 3
... | 0.418816 | 0.327897 |
from __future__ import print_function
import sys, os
import re
import contextlib
import types
import typing as tx
import typing_extensions as tX
if __package__ is None or __package__ == '':
from halogen.utils import terminal_size
else:
from .utils import terminal_size
DISABLE_COLOR: bool = False
PrintFuncTy... | bpython-startup.py |
from __future__ import print_function
import sys, os
import re
import contextlib
import types
import typing as tx
import typing_extensions as tX
if __package__ is None or __package__ == '':
from halogen.utils import terminal_size
else:
from .utils import terminal_size
DISABLE_COLOR: bool = False
PrintFuncTy... | 0.544317 | 0.227201 |