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 torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import itertools
import random
class PCFG(nn.Module):
def __init__(self, nt_states, t_states):
super(PCFG, self).__init__()
self.nt_states = nt_states
self.t_states = t_states
self.states = nt_states + t_states
... | PCFG.py |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import itertools
import random
class PCFG(nn.Module):
def __init__(self, nt_states, t_states):
super(PCFG, self).__init__()
self.nt_states = nt_states
self.t_states = t_states
self.states = nt_states + t_states
... | 0.767429 | 0.581244 |
from __future__ import print_function
from django.conf import settings
from django.test.client import Client
from django_medusa.log import get_logger, finalize_logger
import mimetypes
import os
__all__ = ['COMMON_MIME_MAPS', 'BaseStaticSiteRenderer']
# Since mimetypes.get_extension() gets the "first known" (alphabet... | django_medusa/renderers/base.py | from __future__ import print_function
from django.conf import settings
from django.test.client import Client
from django_medusa.log import get_logger, finalize_logger
import mimetypes
import os
__all__ = ['COMMON_MIME_MAPS', 'BaseStaticSiteRenderer']
# Since mimetypes.get_extension() gets the "first known" (alphabet... | 0.669313 | 0.12847 |
import subprocess
import os
import sys
def saferun(cmd, debug=True):
try:
if debug:
color = 3
cmdline = " ".join(cmd)
print('\033[1;3{}m{}\033[0m'.format(color, cmdline))
return subprocess.check_output(cmd).strip().decode("utf-8")
except:
return No... | tools/msahere.py |
import subprocess
import os
import sys
def saferun(cmd, debug=True):
try:
if debug:
color = 3
cmdline = " ".join(cmd)
print('\033[1;3{}m{}\033[0m'.format(color, cmdline))
return subprocess.check_output(cmd).strip().decode("utf-8")
except:
return No... | 0.210523 | 0.094218 |
from typing import Optional
import torch as _torch
def mask_padded_values(xs: _torch.FloatTensor, n: _torch.LongTensor,
mask_value: float = -float('inf'),
mutate: bool = False):
"""Turns padded values into given mask value.
Args:
xs: A tensor of size (bat... | pytorchltr/utils/tensor_operations.py | from typing import Optional
import torch as _torch
def mask_padded_values(xs: _torch.FloatTensor, n: _torch.LongTensor,
mask_value: float = -float('inf'),
mutate: bool = False):
"""Turns padded values into given mask value.
Args:
xs: A tensor of size (bat... | 0.963205 | 0.722405 |
from tests.integration import asserts
def test_provider_user_can_be_created(provider_account_user, provider_account_params):
asserts.assert_resource(provider_account_user)
asserts.assert_resource_params(provider_account_user, provider_account_params)
def test_provider_user_list(api):
accounts = api.prov... | tests/integration/test_integration_provider_account_users.py | from tests.integration import asserts
def test_provider_user_can_be_created(provider_account_user, provider_account_params):
asserts.assert_resource(provider_account_user)
asserts.assert_resource_params(provider_account_user, provider_account_params)
def test_provider_user_list(api):
accounts = api.prov... | 0.647352 | 0.623234 |
from copy import deepcopy
from typing import Any
from typing import Dict, Mapping, TypeVar, Union
T = TypeVar("T", bound=Dict[str, Any])
def merge_configs(
base_config: T, new_config_layer: Mapping[str, Any], path_from_root: str = "$.", inplace: bool = False
) -> T:
"""
Merges two dictionaries recursivel... | conflex/config_dict.py | from copy import deepcopy
from typing import Any
from typing import Dict, Mapping, TypeVar, Union
T = TypeVar("T", bound=Dict[str, Any])
def merge_configs(
base_config: T, new_config_layer: Mapping[str, Any], path_from_root: str = "$.", inplace: bool = False
) -> T:
"""
Merges two dictionaries recursivel... | 0.875268 | 0.344085 |
from PyQt5 import QtWidgets, uic, QtCore, QtGui
from ui.utils.dialogs import *
from ui.utils.radiomics import *
import sys
class initUI(QtWidgets.QMainWindow):
features = ['first_order', 'glcm', 'gldm', 'glrlm', 'glszm', 'ngtdm', 'shape', 'shape_2D']
def __init__(self):
super(initUI, self).__init__... | pyradiomics/ui/main.py | from PyQt5 import QtWidgets, uic, QtCore, QtGui
from ui.utils.dialogs import *
from ui.utils.radiomics import *
import sys
class initUI(QtWidgets.QMainWindow):
features = ['first_order', 'glcm', 'gldm', 'glrlm', 'glszm', 'ngtdm', 'shape', 'shape_2D']
def __init__(self):
super(initUI, self).__init__... | 0.396302 | 0.056366 |
import os
import sys
import numpy as np
import tensorflow as tf
import os
import numpy as np
from skimage.io import imread
from skimage.transform import resize
sys.path.append('/Users/moon-il')
sys.path.append('/anaconda3/lib/python3.7/site-packages/IPython/extensions')
sys.path.append('/Users/moon-il/.ipython')
sys.p... | nsfw_trian/train_data_transfer.py | import os
import sys
import numpy as np
import tensorflow as tf
import os
import numpy as np
from skimage.io import imread
from skimage.transform import resize
sys.path.append('/Users/moon-il')
sys.path.append('/anaconda3/lib/python3.7/site-packages/IPython/extensions')
sys.path.append('/Users/moon-il/.ipython')
sys.p... | 0.098751 | 0.254115 |
__author__ = '<NAME>'
__copyright__ = 'Fraunhofer IDMT'
# imports
import torch
import torch.nn as nn
from torch.autograd import Variable
class BiGRUEncoder(nn.Module):
""" Class for bi-directional gated recurrent units.
"""
def __init__(self, B, T, N):
"""
Args :
B : (i... | nn_modules/cls_grus.py | __author__ = '<NAME>'
__copyright__ = 'Fraunhofer IDMT'
# imports
import torch
import torch.nn as nn
from torch.autograd import Variable
class BiGRUEncoder(nn.Module):
""" Class for bi-directional gated recurrent units.
"""
def __init__(self, B, T, N):
"""
Args :
B : (i... | 0.937469 | 0.42471 |
from datanator_query_python.util import mongo_util, file_util
from pymongo.collation import Collation, CollationStrength
import json
class QuerySabioCompound(mongo_util.MongoUtil):
def __init__(self, username=None, password=<PASSWORD>, server=None, authSource='admin',
database='datanator', max_e... | datanator_query_python/query/query_sabio_compound.py | from datanator_query_python.util import mongo_util, file_util
from pymongo.collation import Collation, CollationStrength
import json
class QuerySabioCompound(mongo_util.MongoUtil):
def __init__(self, username=None, password=<PASSWORD>, server=None, authSource='admin',
database='datanator', max_e... | 0.755366 | 0.219358 |
import sys
import socket
import argparse
from worker import calculate_metrix
from worker import export_to_API_dict, write_json, send_to_anodot
from sanity_check import check_format
import conf
import json
import os
import logging
conf.setup_logger('log3', os.path.join(conf.LOGS_DIRNAME, conf.LOGS_SERVER_FIL... | server.py | import sys
import socket
import argparse
from worker import calculate_metrix
from worker import export_to_API_dict, write_json, send_to_anodot
from sanity_check import check_format
import conf
import json
import os
import logging
conf.setup_logger('log3', os.path.join(conf.LOGS_DIRNAME, conf.LOGS_SERVER_FIL... | 0.170197 | 0.062331 |
__all__ = [
'__author__',
'__copyright__',
'__credits__',
'__email__',
'__license__',
'__maintainer__',
'__status__',
'__version__',
]
__author__ = "<NAME>, <NAME>, and <NAME>"
__copyright__ = 'Copyright (c) 2011-2018 Digital Bazaar, Inc.'
__credits__ = ["<NAME>", "<NAME>", "<... | tasks.py | __all__ = [
'__author__',
'__copyright__',
'__credits__',
'__email__',
'__license__',
'__maintainer__',
'__status__',
'__version__',
]
__author__ = "<NAME>, <NAME>, and <NAME>"
__copyright__ = 'Copyright (c) 2011-2018 Digital Bazaar, Inc.'
__credits__ = ["<NAME>", "<NAME>", "<... | 0.369884 | 0.086246 |
def run_tests_multi_transfer(config):
scenario = sp.test_scenario()
admin, [alice, bob] = get_addresses()
scenario.h1("Tests multiple transfer")
scenario.table_of_contents()
#-----------------------------------------------------
scenario.h2("Simple transfer")
possessors = [alice]*2
c... | utests/multi_transfer.py | def run_tests_multi_transfer(config):
scenario = sp.test_scenario()
admin, [alice, bob] = get_addresses()
scenario.h1("Tests multiple transfer")
scenario.table_of_contents()
#-----------------------------------------------------
scenario.h2("Simple transfer")
possessors = [alice]*2
c... | 0.569494 | 0.331444 |
from unittest import TestCase
from managesf.model.yamlbkd.resources.gitacls import ACLOps
class TestACLOps(TestCase):
def test_gerrit_plugin_config(self):
"""Test that adding extra plugin config options in project.config
does not break validation"""
new = {
'resources': {
... | managesf/tests/test_resources_gitacls.py |
from unittest import TestCase
from managesf.model.yamlbkd.resources.gitacls import ACLOps
class TestACLOps(TestCase):
def test_gerrit_plugin_config(self):
"""Test that adding extra plugin config options in project.config
does not break validation"""
new = {
'resources': {
... | 0.693992 | 0.305542 |
from PyQt5.QtCore import QRect, QCoreApplication, QMetaObject
from PyQt5.QtWidgets import QPushButton, QMainWindow, QWidget, QLabel, QVBoxLayout, QCheckBox, QAction, QMenuBar, QMenu, QHBoxLayout, QProgressBar
from PyQt5.QtGui import QIcon
class Ui_MainWindow(QMainWindow):
def __init__(self):
super(... | gui_main.py | from PyQt5.QtCore import QRect, QCoreApplication, QMetaObject
from PyQt5.QtWidgets import QPushButton, QMainWindow, QWidget, QLabel, QVBoxLayout, QCheckBox, QAction, QMenuBar, QMenu, QHBoxLayout, QProgressBar
from PyQt5.QtGui import QIcon
class Ui_MainWindow(QMainWindow):
def __init__(self):
super(... | 0.390708 | 0.063106 |
"""Unit tests for the Bio.PDB.ResidueDepth module."""
import unittest
import warnings
from Bio.PDB import PDBParser, ResidueDepth
from Bio import MissingExternalDependencyError
from Bio.PDB.PDBExceptions import PDBConstructionWarning
from Bio._py3k import getoutput
msms_exe = None
try:
output = getoutput("msms -h... | Tests/test_PDB_ResidueDepth.py | """Unit tests for the Bio.PDB.ResidueDepth module."""
import unittest
import warnings
from Bio.PDB import PDBParser, ResidueDepth
from Bio import MissingExternalDependencyError
from Bio.PDB.PDBExceptions import PDBConstructionWarning
from Bio._py3k import getoutput
msms_exe = None
try:
output = getoutput("msms -h... | 0.606265 | 0.17892 |
import numpy as np
import matplotlib.pyplot as plt
x_data = np.array([35., 38., 31., 20., 22., 25., 17., 60., 8., 60.])
y_data = 2 * x_data + 50 + 5 * np.random.random(10)
bb = np.arange(0, 100, 1)
ww = np.arange(-5, 5, 0.1)
Z = np.zeros((len(bb), len(ww)))
# Create landscape
for i in range(len(bb)):
for j in rang... | machine-learning/linear-regression_gradient-descent.py | import numpy as np
import matplotlib.pyplot as plt
x_data = np.array([35., 38., 31., 20., 22., 25., 17., 60., 8., 60.])
y_data = 2 * x_data + 50 + 5 * np.random.random(10)
bb = np.arange(0, 100, 1)
ww = np.arange(-5, 5, 0.1)
Z = np.zeros((len(bb), len(ww)))
# Create landscape
for i in range(len(bb)):
for j in rang... | 0.555676 | 0.608739 |
import logging
from enum import Enum
from pathlib import Path
from typing import Callable, List, Literal, NamedTuple, Optional, Set
from pydantic import Extra
from pydantic.class_validators import root_validator, validator
from pydantic.fields import Field
from hydrolib.core.io.ini.io_models import Property, Section
... | hydrolib/core/io/bc/models.py | import logging
from enum import Enum
from pathlib import Path
from typing import Callable, List, Literal, NamedTuple, Optional, Set
from pydantic import Extra
from pydantic.class_validators import root_validator, validator
from pydantic.fields import Field
from hydrolib.core.io.ini.io_models import Property, Section
... | 0.905971 | 0.285746 |
def Breadth_First_Traversal(s, adj):
"""
Takes the starting node for breadth first traversal and the adjoint matrix
of the graph and returns the level of each node in the graph starting from
0 for the start node.
"""
level, parent = {}, {}
level[s] = 0
parent[s] = None
i = 1... | 6.006 Introduction to Algorithms/Breadth_First_Traversal.py | def Breadth_First_Traversal(s, adj):
"""
Takes the starting node for breadth first traversal and the adjoint matrix
of the graph and returns the level of each node in the graph starting from
0 for the start node.
"""
level, parent = {}, {}
level[s] = 0
parent[s] = None
i = 1... | 0.59749 | 0.530054 |
from collections import Counter, Iterator, namedtuple
from copy import copy
from functools import wraps
from operator import methodcaller
from os.path import isfile
from pprint import pprint
from time import clock
from .base import (PYTHON3, Frame, LogErr, LogInfo, Matrix, Series,
SeriesSet, auto_pl... | DaPy/core/DataSet.py | from collections import Counter, Iterator, namedtuple
from copy import copy
from functools import wraps
from operator import methodcaller
from os.path import isfile
from pprint import pprint
from time import clock
from .base import (PYTHON3, Frame, LogErr, LogInfo, Matrix, Series,
SeriesSet, auto_pl... | 0.681727 | 0.266119 |
import os
import json
import constants
import shared
import saveable
import mode
from state import State
class Save(object):
__slots__ = (
'file_name',
'_mode_name',
'_mode_data',
'_shared_data',
)
def __init__(self, file_name: str, mode_name: str, mode_data, shared_data)... | src/save.py | import os
import json
import constants
import shared
import saveable
import mode
from state import State
class Save(object):
__slots__ = (
'file_name',
'_mode_name',
'_mode_data',
'_shared_data',
)
def __init__(self, file_name: str, mode_name: str, mode_data, shared_data)... | 0.329607 | 0.05301 |
import oauth
import json
import sys
import argparse
def __parse_entity_results(resp):
ents = resp['batch'].get('entityResults') or []
ret = []
for ent in ents:
ent = ent['entity']
copy = {
'key': {
'path': ent['key']['path']
},
'properties... | dsopz/reader.py | import oauth
import json
import sys
import argparse
def __parse_entity_results(resp):
ents = resp['batch'].get('entityResults') or []
ret = []
for ent in ents:
ent = ent['entity']
copy = {
'key': {
'path': ent['key']['path']
},
'properties... | 0.126947 | 0.09122 |
from __future__ import division, print_function
import os
import numpy as np
from scipy import linalg, stats
try:
import modshogun as sg
except ImportError: # new versions just call it shogun
import shogun as sg
if 'OMP_NUM_THREADS' in os.environ:
num_threads = int(os.environ['OMP_NUM_THREADS'])
else:
... | two_sample/mmd_test.py | from __future__ import division, print_function
import os
import numpy as np
from scipy import linalg, stats
try:
import modshogun as sg
except ImportError: # new versions just call it shogun
import shogun as sg
if 'OMP_NUM_THREADS' in os.environ:
num_threads = int(os.environ['OMP_NUM_THREADS'])
else:
... | 0.800614 | 0.592254 |
import pickle
from datetime import datetime as DT
from loguru import logger
from copy import deepcopy
import pandas as pd
from theano import shared
from pymc_models import PyMCModel
from pymc_models import hs_regression
from sklearn.preprocessing import PolynomialFeatures
def run_model():
# load datasets
wit... | Code/scripts/Old/run_linreg_w_interactions.py |
import pickle
from datetime import datetime as DT
from loguru import logger
from copy import deepcopy
import pandas as pd
from theano import shared
from pymc_models import PyMCModel
from pymc_models import hs_regression
from sklearn.preprocessing import PolynomialFeatures
def run_model():
# load datasets
wit... | 0.62601 | 0.265407 |
import numpy as np
import gudhi as gd
from numpy.lib.stride_tricks import as_strided
import tensorflow as tf
from tensorflow.python.framework import ops
import timeit
def compute_dgm(f, card, hom_dim):
"""
Computes the persistence diagram of an image.
:param f: image
:param card: maximum number of bar... | topnet.py | import numpy as np
import gudhi as gd
from numpy.lib.stride_tricks import as_strided
import tensorflow as tf
from tensorflow.python.framework import ops
import timeit
def compute_dgm(f, card, hom_dim):
"""
Computes the persistence diagram of an image.
:param f: image
:param card: maximum number of bar... | 0.817356 | 0.562837 |
from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.views import generic
from django_tables2 import RequestConfig
from django.apps import apps
from .tables import ConvertedPTable, convertPData, ConvertedGTable, convertGData, con... | timemachine/views.py | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.urls import reverse
from django.views import generic
from django_tables2 import RequestConfig
from django.apps import apps
from .tables import ConvertedPTable, convertPData, ConvertedGTable, convertGData, con... | 0.243283 | 0.087876 |
import os
import ml_collections
import tensorflow as tf
from tensorflow.keras import Input, Model
from tensorflow.keras import optimizers, models
from .sampling import GaussianSampler
from .networks import build_encoder, build_generator, build_discriminator
from ..losses import (
generator_loss,
kl_divergence_... | gaugan/models/gaugan.py | import os
import ml_collections
import tensorflow as tf
from tensorflow.keras import Input, Model
from tensorflow.keras import optimizers, models
from .sampling import GaussianSampler
from .networks import build_encoder, build_generator, build_discriminator
from ..losses import (
generator_loss,
kl_divergence_... | 0.911827 | 0.335596 |
import json
import os
import pickle
import gin
import numpy as np
from keras.models import model_from_json
from keras.preprocessing.sequence import pad_sequences
from pipelines import utils as sc
from pipelines.text_processors import strip_accents
@gin.configurable
class CategoryModel:
def __init__(self, model_... | pipelines/clients.py | import json
import os
import pickle
import gin
import numpy as np
from keras.models import model_from_json
from keras.preprocessing.sequence import pad_sequences
from pipelines import utils as sc
from pipelines.text_processors import strip_accents
@gin.configurable
class CategoryModel:
def __init__(self, model_... | 0.71602 | 0.141786 |
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Device'
db.create_table(u'pesteh_device', (
(u'id', self.gf('django.d... | south_migrations/0001_initial.py | from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding model 'Device'
db.create_table(u'pesteh_device', (
(u'id', self.gf('django.d... | 0.498291 | 0.126677 |
import sys
import time
from codalab.lib.formatting import pretty_json, ratio_str
def open_line(s, f=sys.stderr):
print >> f, '\r\033[K%s' % s,
def clear_line(f=sys.stderr):
print >> f, '\r\033[K',
def pretty_print_json(obj, f=sys.stdout):
f.write(pretty_json(obj))
f.write('\n')
f.flush()
cl... | codalab/lib/print_util.py | import sys
import time
from codalab.lib.formatting import pretty_json, ratio_str
def open_line(s, f=sys.stderr):
print >> f, '\r\033[K%s' % s,
def clear_line(f=sys.stderr):
print >> f, '\r\033[K',
def pretty_print_json(obj, f=sys.stdout):
f.write(pretty_json(obj))
f.write('\n')
f.flush()
cl... | 0.480966 | 0.139396 |
# no functions
# classes
class ColorDialog(object):
""" ColorDialog() """
def SetDialogTabs(self, value):
""" SetDialogTabs(self: ColorDialog, value: ColorTabs) """
pass
def ShowDialog(self):
""" ShowDialog(self: ColorDialog) -> DialogResult """
pass
def... | release/stubs/Autodesk/AutoCAD/Windows/__init__.py |
# no functions
# classes
class ColorDialog(object):
""" ColorDialog() """
def SetDialogTabs(self, value):
""" SetDialogTabs(self: ColorDialog, value: ColorTabs) """
pass
def ShowDialog(self):
""" ShowDialog(self: ColorDialog) -> DialogResult """
pass
def... | 0.510008 | 0.130867 |
from flask import Blueprint
from flask import request
from flask import jsonify
import jwt
from util.util import decode_jwt
from config.config import config
from util.util import InvalidUsage
from util.util import handle_invalid_usage
from util.util import try_wrap_response
from config.config import config
from models... | back-end/www/controllers/location_controller.py |
from flask import Blueprint
from flask import request
from flask import jsonify
import jwt
from util.util import decode_jwt
from config.config import config
from util.util import InvalidUsage
from util.util import handle_invalid_usage
from util.util import try_wrap_response
from config.config import config
from models... | 0.702734 | 0.179746 |
from checker import Checker
from output import output
class AnalyzeRoot(Checker):
"""provides checker for analyze root structure
of the project. It can be check licence, contributing, make file, etc
"""
def __init__(self, content, url=None, provider=None):
super().__init__(provider, url=url)
... | src/jams/analyzers/root.py | from checker import Checker
from output import output
class AnalyzeRoot(Checker):
"""provides checker for analyze root structure
of the project. It can be check licence, contributing, make file, etc
"""
def __init__(self, content, url=None, provider=None):
super().__init__(provider, url=url)
... | 0.576065 | 0.161949 |
from pathlib import Path
import numpy as np
import torch
from torch.optim import SGD
from torch.optim.lr_scheduler import ReduceLROnPlateau, MultiStepLR
from torchvision.transforms import RandomHorizontalFlip, RandomVerticalFlip
from torchvision.transforms import RandomResizedCrop
from torchvision.transforms import Col... | classification/imaterialist_challenge_furniture_2018/configs/train/train_inceptionresnetv2_350_weighted_sampler2_resized_crop.py | from pathlib import Path
import numpy as np
import torch
from torch.optim import SGD
from torch.optim.lr_scheduler import ReduceLROnPlateau, MultiStepLR
from torchvision.transforms import RandomHorizontalFlip, RandomVerticalFlip
from torchvision.transforms import RandomResizedCrop
from torchvision.transforms import Col... | 0.781706 | 0.443841 |
from datetime import time
import time as t
from heatmiserV3.devices import Master, Device
from heatmiserV3.config import Config
import logging
import logging.config
from heatmiserV3.protocol_manager import ProtocolManager
def main():
log_config = Config.LOG_CONFIG
logging.config.dictConfig(log_... | main.py | from datetime import time
import time as t
from heatmiserV3.devices import Master, Device
from heatmiserV3.config import Config
import logging
import logging.config
from heatmiserV3.protocol_manager import ProtocolManager
def main():
log_config = Config.LOG_CONFIG
logging.config.dictConfig(log_... | 0.273089 | 0.070945 |
import time
from picamera import PiCamera
from threading import Thread
from uploader import upload_file, has_network_connection
class ConfigurableCamera(PiCamera):
def __init__(self, job):
super(ConfigurableCamera, self).__init__()
self.__job = job
self.__configure()
self.__test_n... | camera/camera.py | import time
from picamera import PiCamera
from threading import Thread
from uploader import upload_file, has_network_connection
class ConfigurableCamera(PiCamera):
def __init__(self, job):
super(ConfigurableCamera, self).__init__()
self.__job = job
self.__configure()
self.__test_n... | 0.460532 | 0.125493 |
import requests
import re
import urllib.parse as parse
from tqdm import tqdm
from bs4 import BeautifulSoup
class Show:
def __init__(self, user_show):
self.base_url_eztv = "https://eztv.re/search/"
self.base_url_pb = "https://thepiratebay.asia/s/?q="
if not user_show:
user_show ... | src/show.py | import requests
import re
import urllib.parse as parse
from tqdm import tqdm
from bs4 import BeautifulSoup
class Show:
def __init__(self, user_show):
self.base_url_eztv = "https://eztv.re/search/"
self.base_url_pb = "https://thepiratebay.asia/s/?q="
if not user_show:
user_show ... | 0.287268 | 0.161023 |
import torch
import torch.nn as nn
from ding.torch_utils import MLP, get_lstm, Transformer
from ding.model import DiscreteHead
from ding.utils import list_split
class RelationGCN(nn.Module):
def __init__(
self,
hidden_shape: int,
activation=nn.ReLU(inplace=True),
) -> None:... | my_submission/model/gobigger_structed_simple_model.py | import torch
import torch.nn as nn
from ding.torch_utils import MLP, get_lstm, Transformer
from ding.model import DiscreteHead
from ding.utils import list_split
class RelationGCN(nn.Module):
def __init__(
self,
hidden_shape: int,
activation=nn.ReLU(inplace=True),
) -> None:... | 0.941237 | 0.359758 |
import struct
import asyncio
class SubscriberProtocol(asyncio.Protocol):
hdrfmt = struct.Struct('>I')
def __init__(self, loop):
self.loop = loop
def connection_made(self, transport):
print('connection_made')
self.transport = transport
self.reset()
def connection_lost(... | asyncio_subscriber.py | import struct
import asyncio
class SubscriberProtocol(asyncio.Protocol):
hdrfmt = struct.Struct('>I')
def __init__(self, loop):
self.loop = loop
def connection_made(self, transport):
print('connection_made')
self.transport = transport
self.reset()
def connection_lost(... | 0.189596 | 0.102799 |
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import random
import os
import logging
from transformers import get_cosine_schedule_with_warmup, DistilBertTokenizer
from args import get_args
from model.multimodal_transformer import MMT_VideoQA
from loss import LogSoftmax
fro... | main_videoqa.py | import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
import random
import os
import logging
from transformers import get_cosine_schedule_with_warmup, DistilBertTokenizer
from args import get_args
from model.multimodal_transformer import MMT_VideoQA
from loss import LogSoftmax
fro... | 0.592195 | 0.12297 |
from datetime import datetime
import discord
from discord.ext import commands
def check_channel(channel: discord.abc.Messageable) -> bool:
"""Check for NSFW rights."""
if isinstance(channel, discord.TextChannel):
return channel.is_nsfw()
return True
def sha(message: str) -> str:
"""Use SHA-... | cogs/image.py | from datetime import datetime
import discord
from discord.ext import commands
def check_channel(channel: discord.abc.Messageable) -> bool:
"""Check for NSFW rights."""
if isinstance(channel, discord.TextChannel):
return channel.is_nsfw()
return True
def sha(message: str) -> str:
"""Use SHA-... | 0.59796 | 0.353958 |
import pycurl
import sys
import json
from StringIO import StringIO
def getswitchesDPID():
response_buffer = StringIO()
curl = pycurl.Curl()
curl.setopt(curl.URL, "http://localhost:8080/stats/switches")
curl.setopt(curl.WRITEFUNCTION, response_buffer.write)
curl.perform()
curl.close()
val = re... | html/controller.py | import pycurl
import sys
import json
from StringIO import StringIO
def getswitchesDPID():
response_buffer = StringIO()
curl = pycurl.Curl()
curl.setopt(curl.URL, "http://localhost:8080/stats/switches")
curl.setopt(curl.WRITEFUNCTION, response_buffer.write)
curl.perform()
curl.close()
val = re... | 0.057282 | 0.073497 |
import miio
import miio.exceptions
import miio.airhumidifier
import paho.mqtt.client
import urllib.parse
import sys
import yaml
import argparse
import os
import json
import copy
import typing
import datetime
_parser = argparse.ArgumentParser("Bridge python-miio xiaomi device to mqtt")
_parser.add_argument("--config",... | service.py |
import miio
import miio.exceptions
import miio.airhumidifier
import paho.mqtt.client
import urllib.parse
import sys
import yaml
import argparse
import os
import json
import copy
import typing
import datetime
_parser = argparse.ArgumentParser("Bridge python-miio xiaomi device to mqtt")
_parser.add_argument("--config",... | 0.317426 | 0.061509 |
import numpy as np
import matplotlib.pyplot as plt
import os
os.chdir("..\Codes_OMMADE")
from readData import *
from timeLoops import *
from classDataPoint import *
from classParameters import *
from time import time
colors = ['k','b','r','g','c','m','y','k','b','r','g','c','m','y']
# ==================... | OMMADE/Validations/_Main_WSADECompare.py | import numpy as np
import matplotlib.pyplot as plt
import os
os.chdir("..\Codes_OMMADE")
from readData import *
from timeLoops import *
from classDataPoint import *
from classParameters import *
from time import time
colors = ['k','b','r','g','c','m','y','k','b','r','g','c','m','y']
# ==================... | 0.30632 | 0.168241 |
from karen_brain import Skill, dayPart
import logging, time
class TellDateTimeSkill(Skill):
"""
Skill to give the date and time.
"""
def __init__(self):
"""
Tell Date and Time Skill Initialization
"""
self._name = "TellDateTimeSkill"
self.logger = l... | src/karen_brain/skills/TellDateTimeSkill/__init__.py | from karen_brain import Skill, dayPart
import logging, time
class TellDateTimeSkill(Skill):
"""
Skill to give the date and time.
"""
def __init__(self):
"""
Tell Date and Time Skill Initialization
"""
self._name = "TellDateTimeSkill"
self.logger = l... | 0.767167 | 0.157622 |
import unittest
from struct_parse import FieldList, FieldType, ByteOrder, BYTE_ORDER, FIELD_TYPE
class TestFieldListConstructor(unittest.TestCase):
def test_empty(self):
field_list = FieldList()
self.assertEqual(len(field_list.fields), 0)
self.assertEqual(field_list.fields, [])
def t... | test/test_struct_parse.py | import unittest
from struct_parse import FieldList, FieldType, ByteOrder, BYTE_ORDER, FIELD_TYPE
class TestFieldListConstructor(unittest.TestCase):
def test_empty(self):
field_list = FieldList()
self.assertEqual(len(field_list.fields), 0)
self.assertEqual(field_list.fields, [])
def t... | 0.553264 | 0.499634 |
import json
from typing import MutableMapping, Union, Optional, Type, Any
from urlobject import URLObject
from spoffy.exceptions import (
SpotifyException,
SpotifyUnauthorized,
SpotifyPremiumRequired,
)
class Request:
"""
:param method: The request method (`"GET"/"POST"/"PUT"/"DELETE"`)
:par... | spoffy/sansio.py | import json
from typing import MutableMapping, Union, Optional, Type, Any
from urlobject import URLObject
from spoffy.exceptions import (
SpotifyException,
SpotifyUnauthorized,
SpotifyPremiumRequired,
)
class Request:
"""
:param method: The request method (`"GET"/"POST"/"PUT"/"DELETE"`)
:par... | 0.796134 | 0.121243 |
import datetime
import inspect
import os
import sys
import unittest
import numpy
import cf
class FieldTest(unittest.TestCase):
def setUp(self):
self.filename2 = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'test_file2.nc')
self.filename4 = os.path... | cf/test/test_collapse.py | import datetime
import inspect
import os
import sys
import unittest
import numpy
import cf
class FieldTest(unittest.TestCase):
def setUp(self):
self.filename2 = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'test_file2.nc')
self.filename4 = os.path... | 0.318379 | 0.370709 |
import datetime
import io
import logging
import tempfile
import time
from stat import S_IFDIR, S_IFREG
import diskcache
from fuse import LoggingMixIn, Operations
from .core import _convert_time
class WholeTaleMetadataFS(LoggingMixIn, Operations):
"""
Class for handling Tale's metadata.
:param girder_cl... | girderfs/metadata.py | import datetime
import io
import logging
import tempfile
import time
from stat import S_IFDIR, S_IFREG
import diskcache
from fuse import LoggingMixIn, Operations
from .core import _convert_time
class WholeTaleMetadataFS(LoggingMixIn, Operations):
"""
Class for handling Tale's metadata.
:param girder_cl... | 0.417984 | 0.090053 |
from wifi import Cell, Scheme
import socket
from lib import jsonfile, network
global port
def testInternetConnection():
s = createConnection()
if s is not None:
s.send('testInternetConnection')
if s.recv(1024) == '1':
print 'Server connection successful.'
retur... | Device/files/connect.py | from wifi import Cell, Scheme
import socket
from lib import jsonfile, network
global port
def testInternetConnection():
s = createConnection()
if s is not None:
s.send('testInternetConnection')
if s.recv(1024) == '1':
print 'Server connection successful.'
retur... | 0.236516 | 0.085175 |
import os
import sys
project_folder = os.path.realpath('..')
sys.path.append(project_folder)
import tensorflow as tf
import numpy as np
from PIL import Image
from app.pipeline import generate_data_skeleton, data_pipe, multithreading
from app.settings import IMAGE_PATH, BATCH_SIZE, IMAGE_SHAPE
train_file_array, train... | tests/test_pipeline.py | import os
import sys
project_folder = os.path.realpath('..')
sys.path.append(project_folder)
import tensorflow as tf
import numpy as np
from PIL import Image
from app.pipeline import generate_data_skeleton, data_pipe, multithreading
from app.settings import IMAGE_PATH, BATCH_SIZE, IMAGE_SHAPE
train_file_array, train... | 0.212232 | 0.166947 |
import os
import pathlib
from typing import List
import boto3
import botocore
def s3_bucket_exists(name: str) -> bool:
s3 = boto3.client("s3")
try:
s3.head_bucket(Bucket=name)
except botocore.exceptions.ClientError as e:
print(e)
return False
return True
def s3_get_object_na... | ft/s3_util.py | import os
import pathlib
from typing import List
import boto3
import botocore
def s3_bucket_exists(name: str) -> bool:
s3 = boto3.client("s3")
try:
s3.head_bucket(Bucket=name)
except botocore.exceptions.ClientError as e:
print(e)
return False
return True
def s3_get_object_na... | 0.254972 | 0.086439 |
from structure.abstract_note import AbstractNote
from timemodel.duration import Duration
class Note(AbstractNote):
"""
Class representation for a musical note.
"""
STANDARD_NOTES = {'W': Duration(1),
'H': Duration(1, 2),
'Q': Duration(1, 4),
... | structure/note.py | from structure.abstract_note import AbstractNote
from timemodel.duration import Duration
class Note(AbstractNote):
"""
Class representation for a musical note.
"""
STANDARD_NOTES = {'W': Duration(1),
'H': Duration(1, 2),
'Q': Duration(1, 4),
... | 0.84672 | 0.280256 |
from codecs import open
from os import path
from setuptools import setup, Extension
from setuptools.command.sdist import sdist as _sdist
import sys
try:
from Cython.Distutils import build_ext
except ImportError:
USE_CYTHON = False
else:
USE_CYTHON = True
HERE = path.abspath(path.dirname(__file__))
# Get t... | setup.py | from codecs import open
from os import path
from setuptools import setup, Extension
from setuptools.command.sdist import sdist as _sdist
import sys
try:
from Cython.Distutils import build_ext
except ImportError:
USE_CYTHON = False
else:
USE_CYTHON = True
HERE = path.abspath(path.dirname(__file__))
# Get t... | 0.234144 | 0.069038 |
from mutagenmonlib.local.run import *
from mutagenmonlib.local.file import *
global_session_config = {}
def session_config():
return global_session_config
def mutagen_sync_list():
st = run(
[cfg('MUTAGEN_PATH'), 'sync', 'list'],
shell=True,
interactive_error=False)
st = st.repla... | mutagenmonlib/remote/mutagen.py | from mutagenmonlib.local.run import *
from mutagenmonlib.local.file import *
global_session_config = {}
def session_config():
return global_session_config
def mutagen_sync_list():
st = run(
[cfg('MUTAGEN_PATH'), 'sync', 'list'],
shell=True,
interactive_error=False)
st = st.repla... | 0.313735 | 0.079854 |
from functools import partial
from PySide2.QtCore import *
from PySide2.QtWidgets import *
from ..editor import EditorScene
from .layerlist import LayerListWidget
class InspectorWidget(QWidget):
image_changed = Signal()
scene_changed = Signal(EditorScene)
def __init__(self):
super().__init__()... | segmate/widgets/inspector.py | from functools import partial
from PySide2.QtCore import *
from PySide2.QtWidgets import *
from ..editor import EditorScene
from .layerlist import LayerListWidget
class InspectorWidget(QWidget):
image_changed = Signal()
scene_changed = Signal(EditorScene)
def __init__(self):
super().__init__()... | 0.631822 | 0.126569 |
import hashlib
import logging
import os
import boto3
from botocore.exceptions import ClientError
class S3CasClient:
FILENAME_KEY = 'filename'
HASH_FN = hashlib.sha256
def __init__(self, bucket, prefix=None, client=None, debug=True):
"""
A content-addressable storage interface to an s3 bu... | s3_cas/__init__.py | import hashlib
import logging
import os
import boto3
from botocore.exceptions import ClientError
class S3CasClient:
FILENAME_KEY = 'filename'
HASH_FN = hashlib.sha256
def __init__(self, bucket, prefix=None, client=None, debug=True):
"""
A content-addressable storage interface to an s3 bu... | 0.604866 | 0.130175 |
import click
import foolbox
from counter_attack import defenses, tests, utils
from counter_attack.cli import definitions, options, parsing
@click.group(name='preprocessor')
def preprocessor_defense():
"""
Defends using a "preprocessor", which modifies
the image before passing it to the standard model.
... | counter_attack/cli/commands/defense/preprocessor.py | import click
import foolbox
from counter_attack import defenses, tests, utils
from counter_attack.cli import definitions, options, parsing
@click.group(name='preprocessor')
def preprocessor_defense():
"""
Defends using a "preprocessor", which modifies
the image before passing it to the standard model.
... | 0.579995 | 0.270546 |
import os
import inspect
import matplotlib.pyplot as plt
# Line styles
LINE_COLOR = '#0060ff'
# Default marker styles
MARKER_SIZE = 200
MARKER_FACE_COLOR = '#bcd5fdaa'
MARKER_EDGE_COLOR = '#0060ff'
MARKER_EDGE_WIDTH = 1.5
def set_plot_style():
"""Set global style"""
plt.rcParams['font.family'] = 'serif'
... | ps5/code/plot_utils.py |
import os
import inspect
import matplotlib.pyplot as plt
# Line styles
LINE_COLOR = '#0060ff'
# Default marker styles
MARKER_SIZE = 200
MARKER_FACE_COLOR = '#bcd5fdaa'
MARKER_EDGE_COLOR = '#0060ff'
MARKER_EDGE_WIDTH = 1.5
def set_plot_style():
"""Set global style"""
plt.rcParams['font.family'] = 'serif'
... | 0.693265 | 0.523725 |
import time, copy, os #Inport required modules
#Define the landscape for the apocolypse
apocalypse = [
['H','H','H','H','H','C','H','C','H','C','H','H',],
['H','H','H','H','H','C','H','C','H','C','H','H',],
['H','H','H','H','H','C','C','C','C','C','H','H',],
['H','H','H','H','H','H','H','C','H','H','H','H',],
['... | python-stuff/zombies/zombie apocolypse.py | import time, copy, os #Inport required modules
#Define the landscape for the apocolypse
apocalypse = [
['H','H','H','H','H','C','H','C','H','C','H','H',],
['H','H','H','H','H','C','H','C','H','C','H','H',],
['H','H','H','H','H','C','C','C','C','C','H','H',],
['H','H','H','H','H','H','H','C','H','H','H','H',],
['... | 0.187021 | 0.224714 |
import numpy as np
import datetime
import umap
import matplotlib.pyplot as plt
import os
import pickle
import time
from matplotlib.colors import ListedColormap
from sklearn.datasets import make_moons, make_circles, make_classification
from matplotlib.ticker import NullFormatter
print('setting up logging...')
dt = date... | unsupervised.py | import numpy as np
import datetime
import umap
import matplotlib.pyplot as plt
import os
import pickle
import time
from matplotlib.colors import ListedColormap
from sklearn.datasets import make_moons, make_circles, make_classification
from matplotlib.ticker import NullFormatter
print('setting up logging...')
dt = date... | 0.422028 | 0.456591 |
from pygame import *
import os
import pyganim
PLATFORM_WIDTH = 32
PLATFORM_HEIGHT = 32
PLATFORM_COLOR = "#000000"
ICON_DIR = os.path.dirname(__file__) # Полный путь к каталогу с файлами
ANIMATION_BLOCKTELEPORT = [
('%s/blocks/portal2.png' % ICON_DIR),
('%s/blocks/portal1.png' % I... | blocks.py |
from pygame import *
import os
import pyganim
PLATFORM_WIDTH = 32
PLATFORM_HEIGHT = 32
PLATFORM_COLOR = "#000000"
ICON_DIR = os.path.dirname(__file__) # Полный путь к каталогу с файлами
ANIMATION_BLOCKTELEPORT = [
('%s/blocks/portal2.png' % ICON_DIR),
('%s/blocks/portal1.png' % I... | 0.262558 | 0.130479 |
import sys
import time
import socket
import tkinter
import winsound
import platform
import threading
from tkinter import *
import tkinter.simpledialog
import tkinter.font as tkFont
from tkinter import messagebox
from random import randint, choices
from tkinter.scrolledtext import ScrolledText
from Modules import Chiffr... | Application.pyw | import sys
import time
import socket
import tkinter
import winsound
import platform
import threading
from tkinter import *
import tkinter.simpledialog
import tkinter.font as tkFont
from tkinter import messagebox
from random import randint, choices
from tkinter.scrolledtext import ScrolledText
from Modules import Chiffr... | 0.167593 | 0.260472 |
import matplotlib as mat
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import scipy.stats as stats
import os
sns.set(rc={"figure.figsize":(8,4)})
sns.set_context('paper',font_scale=1.5,rc={'lines.linewidth':1.5})
sns.set_style('ticks')
mat.rc('text',usetex=True)
mat.rcParams['text.latex.pre... | scibar-t90.py |
import matplotlib as mat
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import scipy.stats as stats
import os
sns.set(rc={"figure.figsize":(8,4)})
sns.set_context('paper',font_scale=1.5,rc={'lines.linewidth':1.5})
sns.set_style('ticks')
mat.rc('text',usetex=True)
mat.rcParams['text.latex.pre... | 0.329823 | 0.380701 |
import argparse
import numpy as np
import pandas as pd
import pathlib
import tqdm
CC_THRESH = 0.75 # Minimum cross-correlation value to retain.
DTT_MAX = 5 # Maximum differential travel-time to retain.
NCC_MIN = 4 # Minimum number of cross-correlation observations
# per event pair.
def par... | src/420_reformat_cc_output.py | import argparse
import numpy as np
import pandas as pd
import pathlib
import tqdm
CC_THRESH = 0.75 # Minimum cross-correlation value to retain.
DTT_MAX = 5 # Maximum differential travel-time to retain.
NCC_MIN = 4 # Minimum number of cross-correlation observations
# per event pair.
def par... | 0.37502 | 0.290352 |
import time
from unittest.mock import Mock, patch
from flask.testing import FlaskClient
from lms.lmsweb.config import CONFIRMATION_TIME
from lms.lmsdb.models import Course, User
from lms.models.users import generate_user_token
from tests import conftest
class TestRegistration:
@staticmethod
def test_invalid... | tests/test_registration.py | import time
from unittest.mock import Mock, patch
from flask.testing import FlaskClient
from lms.lmsweb.config import CONFIRMATION_TIME
from lms.lmsdb.models import Course, User
from lms.models.users import generate_user_token
from tests import conftest
class TestRegistration:
@staticmethod
def test_invalid... | 0.461745 | 0.230292 |
import sys,os,time
def processTimeTable(filename):
f = open(filename,'r')
lines = f.readlines()
f.close
parts = filename.split("/")
part = parts [ len(parts) -1]
parts = part.split(".")
part = parts[0]
parts = part.split("_")
part = parts[2]
linia=""
statia=""
... | web/convertdata.py | import sys,os,time
def processTimeTable(filename):
f = open(filename,'r')
lines = f.readlines()
f.close
parts = filename.split("/")
part = parts [ len(parts) -1]
parts = part.split(".")
part = parts[0]
parts = part.split("_")
part = parts[2]
linia=""
statia=""
... | 0.056438 | 0.114319 |
from collections import defaultdict
class Computer:
def __init__(self):
def retzero(): return 0
self.registers = defaultdict(retzero)
self.max_ever_register = None
def condition_true(self, look_reg, condition, value):
look_value = self.registers[look_reg]
if condition ... | 8.py | from collections import defaultdict
class Computer:
def __init__(self):
def retzero(): return 0
self.registers = defaultdict(retzero)
self.max_ever_register = None
def condition_true(self, look_reg, condition, value):
look_value = self.registers[look_reg]
if condition ... | 0.392337 | 0.452959 |
# here put the import lib
import time
import numpy as np
import tensorflow as tf
import random
import paddlehub as hub
from sklearn.metrics import accuracy_score
import math
from keras.layers import Dense, Subtract, Lambda
import keras.backend as K
from keras.regularizers import l2
import nni
import data_input
from co... | dssm/model/bert_classifier.py | # here put the import lib
import time
import numpy as np
import tensorflow as tf
import random
import paddlehub as hub
from sklearn.metrics import accuracy_score
import math
from keras.layers import Dense, Subtract, Lambda
import keras.backend as K
from keras.regularizers import l2
import nni
import data_input
from co... | 0.724481 | 0.206714 |
import numpy as np
import re
def dict_cut(text, entities):
"""
根据词库抽取文本中的实体
text = '企业提供部门经理的身份证和身份证明'
entities = ['企业', '部门经理', '身份证', '身份证明']
return = ['企业', '提', '供', '部门经理', '的', '身份证', '和', '身份证明']
:param text:文本
:param entities:实体列表，前面包含后面
:return:实体抽取结果
"""
pattern_t... | Text_Annotation/annotate/dict_annotate.py | import numpy as np
import re
def dict_cut(text, entities):
"""
根据词库抽取文本中的实体
text = '企业提供部门经理的身份证和身份证明'
entities = ['企业', '部门经理', '身份证', '身份证明']
return = ['企业', '提', '供', '部门经理', '的', '身份证', '和', '身份证明']
:param text:文本
:param entities:实体列表，前面包含后面
:return:实体抽取结果
"""
pattern_t... | 0.340047 | 0.427994 |
import os
from pywps import Process
from pywps import LiteralInput, LiteralOutput
from pywps import ComplexInput, ComplexOutput
from pywps import Format, FORMATS
from pywps.app.Common import Metadata
from copernicus import runner
from copernicus import util
import logging
LOGGER = logging.getLogger("PYWPS")
class ... | copernicus/processes/wps_rainfarm.py | import os
from pywps import Process
from pywps import LiteralInput, LiteralOutput
from pywps import ComplexInput, ComplexOutput
from pywps import Format, FORMATS
from pywps.app.Common import Metadata
from copernicus import runner
from copernicus import util
import logging
LOGGER = logging.getLogger("PYWPS")
class ... | 0.698741 | 0.311204 |
import os
# Own Modules
from Dados.ScriptInfo.ScriptInfo import ScriptInfo
from Dados.V4Styles.V4Styles import V4Styles
from Dados.Events.Events import Events
from Dados.SimpleLine.SimpleLine import SimpleLine
# Search for Epydoc, MIT LICENSE, Python Packages, PEP 0440 and RestructuredText
# Reminder: The on... | Dados/SubPackage.py | import os
# Own Modules
from Dados.ScriptInfo.ScriptInfo import ScriptInfo
from Dados.V4Styles.V4Styles import V4Styles
from Dados.Events.Events import Events
from Dados.SimpleLine.SimpleLine import SimpleLine
# Search for Epydoc, MIT LICENSE, Python Packages, PEP 0440 and RestructuredText
# Reminder: The on... | 0.52902 | 0.067209 |
import onceml.types.channel as channel
from onceml.orchestration import KubeflowRunner, Pipeline
import onceml.utils.json_utils as json_utils
import onceml.global_config as global_config
import os
from cycle_component import myComponent1, myExecutor1
command = [
'python3', '-m', '{}.orchestration.kubeflow.container... | tests/test_container_cycle.py | import onceml.types.channel as channel
from onceml.orchestration import KubeflowRunner, Pipeline
import onceml.utils.json_utils as json_utils
import onceml.global_config as global_config
import os
from cycle_component import myComponent1, myExecutor1
command = [
'python3', '-m', '{}.orchestration.kubeflow.container... | 0.230486 | 0.127245 |
import json
import time
import tkinter
from tkinter import RIGHT, END
try:
import tkinter
except ImportError:
import Tkinter as tk
import requests
from boltiot import Bolt, Sms, Email
from alert import conf
def toggle_state(*_):
if e1.var.get():
button1['state'] = 'normal'
else:
but... | alert/__init__.py | import json
import time
import tkinter
from tkinter import RIGHT, END
try:
import tkinter
except ImportError:
import Tkinter as tk
import requests
from boltiot import Bolt, Sms, Email
from alert import conf
def toggle_state(*_):
if e1.var.get():
button1['state'] = 'normal'
else:
but... | 0.260201 | 0.060808 |
import sys
from collections import OrderedDict
from ydk.types import Entity as _Entity_
from ydk.types import EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Em... | cisco-ios-xr/ydk/models/cisco_ios_xr/nc_notifications.py | import sys
from collections import OrderedDict
from ydk.types import Entity as _Entity_
from ydk.types import EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Empty, Decimal64
from ydk.types import Entity, EntityPath, Identity, Enum, YType, YLeaf, YLeafList, YList, LeafDataList, Bits, Em... | 0.363986 | 0.10466 |
import torch
import numpy as np
from plato.config import Config
from plato.trainers import basic
def flatten_weights_from_model(model):
""" Return the weights of the given model as a 1-D tensor """
weights = torch.tensor([], requires_grad=False)
for param in model.parameters():
weights = torch.ca... | examples/fedprox/fedprox_trainer.py | import torch
import numpy as np
from plato.config import Config
from plato.trainers import basic
def flatten_weights_from_model(model):
""" Return the weights of the given model as a 1-D tensor """
weights = torch.tensor([], requires_grad=False)
for param in model.parameters():
weights = torch.ca... | 0.865551 | 0.612686 |
class Node:
def __init__(self, val):
self.val = val
self.next = None
def iterative_linked_list_values(head):
values = []
current = head
while current is not None:
values.append(current.val)
current = current.next
return values
def recursive_linked_list_values(head... | linked-list/linked-list.py | class Node:
def __init__(self, val):
self.val = val
self.next = None
def iterative_linked_list_values(head):
values = []
current = head
while current is not None:
values.append(current.val)
current = current.next
return values
def recursive_linked_list_values(head... | 0.593374 | 0.348285 |
import numpy as np
from collections import deque
import random
from abc import ABC, abstractmethod
# Ornstein-Ulhenbeck Process
# Taken from #https://github.com/vitchyr/rlkit/blob/master/rlkit/exploration_strategies/ou_strategy.py
class OUNoise(object):
def __init__(self, action_dim, action_low, action_high, mu=0... | simulation/dm_control_cur/ddpg/ddpg_classes/utils.py | import numpy as np
from collections import deque
import random
from abc import ABC, abstractmethod
# Ornstein-Ulhenbeck Process
# Taken from #https://github.com/vitchyr/rlkit/blob/master/rlkit/exploration_strategies/ou_strategy.py
class OUNoise(object):
def __init__(self, action_dim, action_low, action_high, mu=0... | 0.818592 | 0.354238 |
from __future__ import print_function
from six import string_types
import json
import os
from sys import exit
class Router(object):
"""
"""
_dictURLPathToClassName = None
"""
* @param array arrURLPathToClassName. Associative array. URLs as keys.
* Class names should be fully ... | jsonrpc2_base/endpoint/router.py | from __future__ import print_function
from six import string_types
import json
import os
from sys import exit
class Router(object):
"""
"""
_dictURLPathToClassName = None
"""
* @param array arrURLPathToClassName. Associative array. URLs as keys.
* Class names should be fully ... | 0.445771 | 0.098469 |
__author__ = "<NAME> <<EMAIL>>"
__version__ = "0.2"
__date__ = "26/11/19"
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import datetime
import configparser
import os
import logging
import argparse
import glob
from time import gmti... | bin/optimise_stack.py |
__author__ = "<NAME> <<EMAIL>>"
__version__ = "0.2"
__date__ = "26/11/19"
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import datetime
import configparser
import os
import logging
import argparse
import glob
from time import gmti... | 0.358353 | 0.140513 |
from typing import Dict, Optional, Union
from authentication import auth_model
from fire_watch.errorfactory import DuplicationError, InvalidUid
from fire_watch.utils import pagination_utils
import fire_watch
from .base_model import BaseModel
class ApiModel(BaseModel):
def register_user(self, *args, **kwargs):
... | server/models/api_model.py | from typing import Dict, Optional, Union
from authentication import auth_model
from fire_watch.errorfactory import DuplicationError, InvalidUid
from fire_watch.utils import pagination_utils
import fire_watch
from .base_model import BaseModel
class ApiModel(BaseModel):
def register_user(self, *args, **kwargs):
... | 0.903916 | 0.295185 |
from docplex.mp.compat23 import StringIO
from docplex.mp.constants import ComparisonType
from collections import Counter
from docplex.mp.vartype import *
class ModelStatistics(object):
"""ModelStatistics()
This class gathers statistics from the model.
Instances of this class are returned ... | ukpsummarizer-be/cplex/python/docplex/docplex/mp/model_stats.py |
from docplex.mp.compat23 import StringIO
from docplex.mp.constants import ComparisonType
from collections import Counter
from docplex.mp.vartype import *
class ModelStatistics(object):
"""ModelStatistics()
This class gathers statistics from the model.
Instances of this class are returned ... | 0.861727 | 0.402451 |
import argparse
import collections
import csv
import datetime
import json
import os
import sys
import time
if sys.version_info > (3,):
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
else:
from urllib2 import HTTPError, URLError, urlopen
HEADER_FIELDNAMES = (
'chart', ... | heartbeat/heartbeat.py | import argparse
import collections
import csv
import datetime
import json
import os
import sys
import time
if sys.version_info > (3,):
from urllib.error import HTTPError, URLError
from urllib.request import urlopen
else:
from urllib2 import HTTPError, URLError, urlopen
HEADER_FIELDNAMES = (
'chart', ... | 0.193528 | 0.108945 |
__docformat__ = 'restructuredtext'
from zope.interface.interfaces import IInterface
from zope.proxy import removeAllProxies
from zope.publisher.browser import BrowserView
from zope.traversing.browser import absoluteURL
from zope.app.apidoc.utilities import getPythonPath, renderText
from zope.app.apidoc.codemodule.int... | src/zope/app/apidoc/codemodule/browser/module.py | __docformat__ = 'restructuredtext'
from zope.interface.interfaces import IInterface
from zope.proxy import removeAllProxies
from zope.publisher.browser import BrowserView
from zope.traversing.browser import absoluteURL
from zope.app.apidoc.utilities import getPythonPath, renderText
from zope.app.apidoc.codemodule.int... | 0.627723 | 0.122786 |
__author__ = 'ipetrash'
import functools
import logging
import os
import sys
import re
import time
from pathlib import Path
from typing import Callable, List
from telegram import Update
from telegram.ext import Updater, CallbackContext, Handler, Defaults
import config
def get_logger(file_name: str, dir_name='lo... | telegram_bot_examples/common.py |
__author__ = 'ipetrash'
import functools
import logging
import os
import sys
import re
import time
from pathlib import Path
from typing import Callable, List
from telegram import Update
from telegram.ext import Updater, CallbackContext, Handler, Defaults
import config
def get_logger(file_name: str, dir_name='lo... | 0.436622 | 0.072637 |
import numpy as np
from numba import njit
from json_checker import Checker, And
from typing import Dict, Union, Tuple
import xarray as xr
from pandora.img_tools import shift_sec_img
from . import aggregation
from scipy.ndimage.filters import median_filter
@aggregation.AbstractAggregation.register_subclass('cbca')
cl... | pandora/aggregation/cbca.py | import numpy as np
from numba import njit
from json_checker import Checker, And
from typing import Dict, Union, Tuple
import xarray as xr
from pandora.img_tools import shift_sec_img
from . import aggregation
from scipy.ndimage.filters import median_filter
@aggregation.AbstractAggregation.register_subclass('cbca')
cl... | 0.904427 | 0.485051 |
from common.exceptions import DSBaseException
class NodeDoesNotExist(DSBaseException):
def __init__(self, key: str):
"""
Node does not exist error.
:param key: key name of the node
:type key: str
"""
message = "Node with key [%s] does not exist in the graph." % k... | pyds/graph/exceptions.py | from common.exceptions import DSBaseException
class NodeDoesNotExist(DSBaseException):
def __init__(self, key: str):
"""
Node does not exist error.
:param key: key name of the node
:type key: str
"""
message = "Node with key [%s] does not exist in the graph." % k... | 0.902622 | 0.238406 |
from typing import List
from z3 import z3
from smsymer import utils
from .immutableStorageTracker import ImmutableStorageTracker
from smsymer.analyzer.tool import RefTracker
from smsymer.evm import Instruction, Stack
class TimestampDepTracker(RefTracker):
def __init__(self, addr: int, height: int):
supe... | smsymer/analyzer/timestampDepTracker.py | from typing import List
from z3 import z3
from smsymer import utils
from .immutableStorageTracker import ImmutableStorageTracker
from smsymer.analyzer.tool import RefTracker
from smsymer.evm import Instruction, Stack
class TimestampDepTracker(RefTracker):
def __init__(self, addr: int, height: int):
supe... | 0.67694 | 0.363054 |
import torch
import torch.nn as nn
from .core import trainable_params_
from .torch_imports import *
IS_TORCH_04 = LooseVersion(torch.__version__) >= LooseVersion('0.4')
class FP16(nn.Module):
def __init__(self, module):
super().__init__()
self.module = batchnorm_to_fp32(module.half())
... | fastai/fp16.py | import torch
import torch.nn as nn
from .core import trainable_params_
from .torch_imports import *
IS_TORCH_04 = LooseVersion(torch.__version__) >= LooseVersion('0.4')
class FP16(nn.Module):
def __init__(self, module):
super().__init__()
self.module = batchnorm_to_fp32(module.half())
... | 0.893301 | 0.286112 |
import unicodedata
import re
import jieba
import tensorflow as tf
from tensorflow import keras
from sklearn.model_selection import train_test_split
def unicode_to_ascii(s):
return ''.join(c for c in unicodedata.normalize('NFD', s) if unicodedata.category(c) != 'Mn')
def preprocess_sentence(s):
... | load_data.py | import unicodedata
import re
import jieba
import tensorflow as tf
from tensorflow import keras
from sklearn.model_selection import train_test_split
def unicode_to_ascii(s):
return ''.join(c for c in unicodedata.normalize('NFD', s) if unicodedata.category(c) != 'Mn')
def preprocess_sentence(s):
... | 0.339171 | 0.259058 |
from pynput.keyboard import Controller as KeyboardController
from pynput.mouse import Controller as MouseController
import logging
# Log all events (both creation and execution) into the terminal
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(message)s')
keyboard = KeyboardControl... | Events.py | from pynput.keyboard import Controller as KeyboardController
from pynput.mouse import Controller as MouseController
import logging
# Log all events (both creation and execution) into the terminal
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(message)s')
keyboard = KeyboardControl... | 0.481941 | 0.189034 |
import numpy as np
import cv2
from mindarmour.natural_robustness.transform.image.natural_perturb import _NaturalPerturb
from mindarmour.utils._check_param import check_param_multi_types, check_int_positive, check_param_type
from mindarmour.utils.logger import LogUtil
LOGGER = LogUtil.get_instance()
TAG = 'Image Blur'... | mindarmour/natural_robustness/transform/image/blur.py | import numpy as np
import cv2
from mindarmour.natural_robustness.transform.image.natural_perturb import _NaturalPerturb
from mindarmour.utils._check_param import check_param_multi_types, check_int_positive, check_param_type
from mindarmour.utils.logger import LogUtil
LOGGER = LogUtil.get_instance()
TAG = 'Image Blur'... | 0.864239 | 0.439326 |
import os
import sys
import yaml
from netpacket import common
def write_net_header():
write_content = "\n"
write_content += "enum ENetHeader\n"
write_content += "{\n"
write_content += " ENetHeader_None = 0,\n"
for net_header in net_header_list:
write_content += " ENetHeader_" + net_heade... | NetPacket/Tool/GenerateRequest.py |
import os
import sys
import yaml
from netpacket import common
def write_net_header():
write_content = "\n"
write_content += "enum ENetHeader\n"
write_content += "{\n"
write_content += " ENetHeader_None = 0,\n"
for net_header in net_header_list:
write_content += " ENetHeader_" + net_heade... | 0.10917 | 0.223843 |
def unilabel(y_true, y_pred):
"""Compute relevance(s) of predicted labels.
This version of the relevance function works only for the queries
(problems) with a single groud truth label.
It is provided mainly for two reasons: there is a slight speedup (order of
seconds for the large `n_samples`) and ... | irmetrics/relevance.py | def unilabel(y_true, y_pred):
"""Compute relevance(s) of predicted labels.
This version of the relevance function works only for the queries
(problems) with a single groud truth label.
It is provided mainly for two reasons: there is a slight speedup (order of
seconds for the large `n_samples`) and ... | 0.944177 | 0.902481 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'AccessGroupSpec',
'AccessGroupStatus',
'AccessPolicySpec',
'AccessPolicySpecRoles',
'AccessPolicySpecRolesCustomRole... | operators/ibmcloud-iam-operator/python/pulumi_pulumi_kubernetes_crds_operators_ibmcloud_iam_operator/ibmcloud/v1alpha1/outputs.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
__all__ = [
'AccessGroupSpec',
'AccessGroupStatus',
'AccessPolicySpec',
'AccessPolicySpecRoles',
'AccessPolicySpecRolesCustomRole... | 0.874667 | 0.083666 |
"""Sets up repositories for use by rules_webtesting at version 0.3.3."""
load("//web:web.bzl", "platform_archive")
def browser_repositories(firefox = False, chromium = False, sauce = False):
"""Sets up repositories for browsers defined in //browsers/....
Args:
firefox: Configure repositories for //br... | web/versioned/browsers-0.3.3.bzl | """Sets up repositories for use by rules_webtesting at version 0.3.3."""
load("//web:web.bzl", "platform_archive")
def browser_repositories(firefox = False, chromium = False, sauce = False):
"""Sets up repositories for browsers defined in //browsers/....
Args:
firefox: Configure repositories for //br... | 0.698741 | 0.306157 |
# Utilities for plotting
import matplotlib.pyplot as plt
import numpy as np
from functools import reduce
from skimage.color import gray2rgb, rgb2hsv, hsv2rgb
from skimage.exposure import rescale_intensity
def colourise(img, hue):
"""Colourise a grayscale images according to a hue.
Inspired by http://nbview... | mito/plot.py |
# Utilities for plotting
import matplotlib.pyplot as plt
import numpy as np
from functools import reduce
from skimage.color import gray2rgb, rgb2hsv, hsv2rgb
from skimage.exposure import rescale_intensity
def colourise(img, hue):
"""Colourise a grayscale images according to a hue.
Inspired by http://nbview... | 0.827201 | 0.49469 |
import numpy as np
def get_features():
features = {
"sweep": {
"name": "Range segment",
"class": FeatureSweep,
"model": "2D",
"data_type": "envelope",
},
"peak": {
"name": "Peak",
"class": FeaturePeak,
"mo... | gui/ml/feature_definitions.py | import numpy as np
def get_features():
features = {
"sweep": {
"name": "Range segment",
"class": FeatureSweep,
"model": "2D",
"data_type": "envelope",
},
"peak": {
"name": "Peak",
"class": FeaturePeak,
"mo... | 0.567577 | 0.630543 |
import astropy.units as u
from astropy.coordinates import ICRS
from astropy.coordinates import Galactic
import astropy.coordinates as coord
import numpy as np
def calc_vb(mean_list):
"""
Calculate latitudinal velocity.
Args:
mean_list (list): list of arrays of,
ra: Right Ascension in ... | kinematics_and_rotation/kinematics.py | import astropy.units as u
from astropy.coordinates import ICRS
from astropy.coordinates import Galactic
import astropy.coordinates as coord
import numpy as np
def calc_vb(mean_list):
"""
Calculate latitudinal velocity.
Args:
mean_list (list): list of arrays of,
ra: Right Ascension in ... | 0.884389 | 0.574604 |
import typing
from abc import abstractmethod
from ...lang.x_event_listener import XEventListener as XEventListener_c7230c4a
if typing.TYPE_CHECKING:
from .tree_expansion_event import TreeExpansionEvent as TreeExpansionEvent_378b0f79
class XTreeExpansionListener(XEventListener_c7230c4a):
"""
An instance of ... | ooobuild/lo/awt/tree/x_tree_expansion_listener.py | import typing
from abc import abstractmethod
from ...lang.x_event_listener import XEventListener as XEventListener_c7230c4a
if typing.TYPE_CHECKING:
from .tree_expansion_event import TreeExpansionEvent as TreeExpansionEvent_378b0f79
class XTreeExpansionListener(XEventListener_c7230c4a):
"""
An instance of ... | 0.681621 | 0.226752 |