code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from datetime import datetime
import numpy as np
import pandas as pd
def readTxt(path2file, verbose = True):
"""
Read txt with order book messages after qsh2txt.exe
"""
if (verbose):
print('Parsing file ', path2file)
ret = pd.read_csv(path2file, sep=';', header = None, names = ['Received', '... | TradingGym/OrderFlow.py | from datetime import datetime
import numpy as np
import pandas as pd
def readTxt(path2file, verbose = True):
"""
Read txt with order book messages after qsh2txt.exe
"""
if (verbose):
print('Parsing file ', path2file)
ret = pd.read_csv(path2file, sep=';', header = None, names = ['Received', '... | 0.398875 | 0.222542 |
from __future__ import print_function
from builtins import input
import pyfftw # See https://github.com/pyFFTW/pyFFTW/issues/40
import numpy as np
from sporco.dictlrn import onlinecdl
from sporco import util
from sporco import signal
from sporco import cuda
from sporco import plot
"""
Load training images.
"""
e... | examples/scripts/cdl/onlinecdl_msk_gry.py | from __future__ import print_function
from builtins import input
import pyfftw # See https://github.com/pyFFTW/pyFFTW/issues/40
import numpy as np
from sporco.dictlrn import onlinecdl
from sporco import util
from sporco import signal
from sporco import cuda
from sporco import plot
"""
Load training images.
"""
e... | 0.701611 | 0.484807 |
import lx
import modo
class TransformUtils(object):
@classmethod
def applyEdit(cls):
""" Applies edits from edit action.
This needs to be done if you want to edit an action directly
(such as setup) but have some edits on edit action currently.
"""
try:
... | modox/xfrm.py | import lx
import modo
class TransformUtils(object):
@classmethod
def applyEdit(cls):
""" Applies edits from edit action.
This needs to be done if you want to edit an action directly
(such as setup) but have some edits on edit action currently.
"""
try:
... | 0.784979 | 0.554772 |
from keras.models import Sequential
from keras.layers.convolutional import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Dropout
classifier = Sequential()
IMAGE_SIZE = 128
EP... | cnn.py | from keras.models import Sequential
from keras.layers.convolutional import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Dropout
classifier = Sequential()
IMAGE_SIZE = 128
EP... | 0.912867 | 0.543287 |
import os
import shutil
import hashlib
import sys
import gslab_scons.misc as misc
from gslab_builder import GSLabBuilder
def build_matlab(target, source, env):
'''
Build targets with a MATLAB command
This function executes a MATLAB function to build objects
specified by target using the objects sp... | gslab_scons/builders/build_matlab.py | import os
import shutil
import hashlib
import sys
import gslab_scons.misc as misc
from gslab_builder import GSLabBuilder
def build_matlab(target, source, env):
'''
Build targets with a MATLAB command
This function executes a MATLAB function to build objects
specified by target using the objects sp... | 0.33928 | 0.130979 |
import itertools
import argparse
import datetime
import os
import sys
import re
import time
import numpy as np
import argparse
"""
TODOs
[x] script body
[x] env_kwargs added to config file
[] remove demonstration bits
[x] sbatch > qsub
[] request a gpu?
[x] loop over start states (for this particular experiment - one ... | motor_skills/experiments/ccv_fixed_start_experiment_submitter.py | import itertools
import argparse
import datetime
import os
import sys
import re
import time
import numpy as np
import argparse
"""
TODOs
[x] script body
[x] env_kwargs added to config file
[] remove demonstration bits
[x] sbatch > qsub
[] request a gpu?
[x] loop over start states (for this particular experiment - one ... | 0.085029 | 0.08472 |
import contextlib
import logging
import StringIO
import tarfile
from google.appengine.ext import ndb
from google import protobuf
from components import auth
from components import net
from components import utils
from components.auth import model
from proto import config_pb2
class BundleImportError(Exception):
... | appengine/auth_service/importer.py | import contextlib
import logging
import StringIO
import tarfile
from google.appengine.ext import ndb
from google import protobuf
from components import auth
from components import net
from components import utils
from components.auth import model
from proto import config_pb2
class BundleImportError(Exception):
... | 0.641984 | 0.065485 |
"""Tests for lists module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import weakref
from tensorflow.python.autograph.core import converter
from tensorflow.python.autograph.core import converter_testing
from tensorflow.python.autograph.pyct import ... | tensorflow/python/autograph/core/converter_test.py | """Tests for lists module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import weakref
from tensorflow.python.autograph.core import converter
from tensorflow.python.autograph.core import converter_testing
from tensorflow.python.autograph.pyct import ... | 0.844345 | 0.436142 |
from django.conf import settings
from django.test import TestCase, override_settings
from faker.proxy import Faker
from bot.exceptions import DiscordApiException
from bot.utils import discord_api_get, discord_api_patch, discord_api_post
from tests.bot.helpers.constants import (CHANNEL, LITECORD_API_URL, LITECORD_TOKEN... | tests/bot/test_utils.py | from django.conf import settings
from django.test import TestCase, override_settings
from faker.proxy import Faker
from bot.exceptions import DiscordApiException
from bot.utils import discord_api_get, discord_api_patch, discord_api_post
from tests.bot.helpers.constants import (CHANNEL, LITECORD_API_URL, LITECORD_TOKEN... | 0.575707 | 0.104798 |
import yaml
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument('output')
parser.add_argument('--client-ips', nargs='+')
parser.add_argument('--client-macs', nargs='+')
parser.add_argument('--clt-threads', type=int)
parser.add_argument('--server-ip', type=str)
parser.add_argument('--serv... | scripts/experiments/Shremote_cfgs/format_scripts/format_psp_clients.py | import yaml
from argparse import ArgumentParser
parser = ArgumentParser()
parser.add_argument('output')
parser.add_argument('--client-ips', nargs='+')
parser.add_argument('--client-macs', nargs='+')
parser.add_argument('--clt-threads', type=int)
parser.add_argument('--server-ip', type=str)
parser.add_argument('--serv... | 0.362856 | 0.055926 |
import numpy as np
import pandas as pd
import hydrostats.data as hd
import hydrostats.visual as hv
import HydroErr as he
import matplotlib.pyplot as plt
import os
from netCDF4 import Dataset
# Put all the directories (different states and resolutions) and corresponding NetCDF files into lists.
list_of_files = []
list_... | Resolution_Analysis-Era-Interim/Less_Used/State-all-res_time-series_to-csv.py | import numpy as np
import pandas as pd
import hydrostats.data as hd
import hydrostats.visual as hv
import HydroErr as he
import matplotlib.pyplot as plt
import os
from netCDF4 import Dataset
# Put all the directories (different states and resolutions) and corresponding NetCDF files into lists.
list_of_files = []
list_... | 0.301465 | 0.237051 |
from ..broker import Broker
class IfGroupDefnBroker(Broker):
controller = "if_group_defns"
def show(self, **kwargs):
"""Shows the details for the specified if group defn.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
... | infoblox_netmri/api/broker/v3_6_0/if_group_defn_broker.py | from ..broker import Broker
class IfGroupDefnBroker(Broker):
controller = "if_group_defns"
def show(self, **kwargs):
"""Shows the details for the specified if group defn.
**Inputs**
| ``api version min:`` None
| ``api version max:`` None
... | 0.796094 | 0.517998 |
import os
import csv
import json
import torch
import random
import signal
import numpy as np
from itertools import groupby
from typing import List, Dict
def read_conll(filename, columns, delimiter='\t'):
def is_empty_line(line_pack):
return all(field.strip() == '' for field in line_pack)
data = []
... | src/commons/utilities.py | import os
import csv
import json
import torch
import random
import signal
import numpy as np
from itertools import groupby
from typing import List, Dict
def read_conll(filename, columns, delimiter='\t'):
def is_empty_line(line_pack):
return all(field.strip() == '' for field in line_pack)
data = []
... | 0.4917 | 0.22289 |
from soynlp.noun import LRNounExtractor_v2
from soynlp.word import WordExtractor
from soynlp.tokenizer import LTokenizer
from konlpy.tag import Hannanum, Kkma, Okt
from PyKomoran import Komoran
from ckonlpy.tag import Twitter
import math
import os
import pandas as pd
import numpy as np
import re
from tqdm import tqdm
... | auditingWordExtract/outdated/tokenizerEvaluationUbuntu.py | from soynlp.noun import LRNounExtractor_v2
from soynlp.word import WordExtractor
from soynlp.tokenizer import LTokenizer
from konlpy.tag import Hannanum, Kkma, Okt
from PyKomoran import Komoran
from ckonlpy.tag import Twitter
import math
import os
import pandas as pd
import numpy as np
import re
from tqdm import tqdm
... | 0.54698 | 0.410993 |
from uuid import uuid4
import random
class Randomizer:
"""Generic list randomizer."""
def __init__(self, items, machine=None, template_type=None):
"""Initialise Randomizer."""
self.fallback_value = None
self.force_different = True
self.force_all = False
self.disable_r... | mpf/core/randomizer.py | from uuid import uuid4
import random
class Randomizer:
"""Generic list randomizer."""
def __init__(self, items, machine=None, template_type=None):
"""Initialise Randomizer."""
self.fallback_value = None
self.force_different = True
self.force_all = False
self.disable_r... | 0.86009 | 0.18743 |
import glob
import os
import platform
import re
import sys
from common import chromium_utils
# Base name of the database of files to archive.
FILES_FILENAME = 'FILES.cfg'
class StagingError(Exception):
pass
class Config(object):
"""Defines default values for archival utilities to use."""
# List of symbol fi... | scripts/common/archive_utils.py | import glob
import os
import platform
import re
import sys
from common import chromium_utils
# Base name of the database of files to archive.
FILES_FILENAME = 'FILES.cfg'
class StagingError(Exception):
pass
class Config(object):
"""Defines default values for archival utilities to use."""
# List of symbol fi... | 0.464173 | 0.166286 |
import os
from tempfile import mkdtemp
from shutil import rmtree
import numpy as np
from nipype.testing import (assert_equal, assert_false, assert_true,
assert_raises, skipif)
import nibabel as nb
import nipype.interfaces.spm as spm
from nipype.interfaces.spm import no_spm
import nipype.in... | nipype/interfaces/spm/tests/test_preprocess.py | import os
from tempfile import mkdtemp
from shutil import rmtree
import numpy as np
from nipype.testing import (assert_equal, assert_false, assert_true,
assert_raises, skipif)
import nibabel as nb
import nipype.interfaces.spm as spm
from nipype.interfaces.spm import no_spm
import nipype.in... | 0.349089 | 0.246284 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from models.layers import *
from models.capsule_layers import *
from models.loss_funcitons import *
def model_arch(cfg, inputs, labels, input_imgs, num_class,
is_training=None, restore_vars_dic... | src/experiments/baseline_arch.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from models.layers import *
from models.capsule_layers import *
from models.loss_funcitons import *
def model_arch(cfg, inputs, labels, input_imgs, num_class,
is_training=None, restore_vars_dic... | 0.822581 | 0.082697 |
import json
import logging
from typing import Dict, List, Tuple
import boto3
import requests
import tomlkit
from tomlkit.exceptions import TOMLKitError
from notifier.database.drivers.base import BaseDatabaseDriver
from notifier.database.utils import try_cache
from notifier.types import (
GlobalOverridesConfig,
... | notifier/config/remote.py | import json
import logging
from typing import Dict, List, Tuple
import boto3
import requests
import tomlkit
from tomlkit.exceptions import TOMLKitError
from notifier.database.drivers.base import BaseDatabaseDriver
from notifier.database.utils import try_cache
from notifier.types import (
GlobalOverridesConfig,
... | 0.755096 | 0.135919 |
import os
import sys
sys.path.append(os.path.abspath('../src'))
from tensorshare import TensorShare, run_server, RLWorker, RLTrainer
from threading import Timer
import logging
from time import sleep
from twisted.python import log
import torch
def test_tensorshare():
logging.basicConfig(level=logging.DEBUG)
#... | tests/__init__.py | import os
import sys
sys.path.append(os.path.abspath('../src'))
from tensorshare import TensorShare, run_server, RLWorker, RLTrainer
from threading import Timer
import logging
from time import sleep
from twisted.python import log
import torch
def test_tensorshare():
logging.basicConfig(level=logging.DEBUG)
#... | 0.293607 | 0.287311 |
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision.transforms as T
from torch.optim.lr_scheduler import StepLR
from pl_examples.basic_examples.mnist_datamodule import MNIST
# Credit to the PyTorch Team
# Taken from https://github.com/pyto... | pl_examples/basic_examples/mnist_examples/image_classifier_1_pytorch.py | import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision.transforms as T
from torch.optim.lr_scheduler import StepLR
from pl_examples.basic_examples.mnist_datamodule import MNIST
# Credit to the PyTorch Team
# Taken from https://github.com/pyto... | 0.935391 | 0.644924 |
import datetime
import json
import logging
import re
from html import unescape
from typing import Union, List
from urllib.parse import quote
from Crypto.Util import Padding
from .exceptions import IncorrectJson
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
def _get_l(d): return d['L']
class Util:... | pronotepy/dataClasses.py | import datetime
import json
import logging
import re
from html import unescape
from typing import Union, List
from urllib.parse import quote
from Crypto.Util import Padding
from .exceptions import IncorrectJson
log = logging.getLogger(__name__)
log.setLevel(logging.DEBUG)
def _get_l(d): return d['L']
class Util:... | 0.773858 | 0.208541 |
from eth_utils import decode_hex, to_canonical_address, keccak
from raiden_contracts.utils import sign_balance_proof_update_message
from raiden.transfer.balance_proof import pack_balance_proof_update
from raiden.transfer.state import balanceproof_from_envelope
from raiden.utils import Secret
from raiden.utils.signer i... | raiden/tests/unit/test_light_client_messages.py | from eth_utils import decode_hex, to_canonical_address, keccak
from raiden_contracts.utils import sign_balance_proof_update_message
from raiden.transfer.balance_proof import pack_balance_proof_update
from raiden.transfer.state import balanceproof_from_envelope
from raiden.utils import Secret
from raiden.utils.signer i... | 0.525125 | 0.171512 |
from datapackage_pipelines_mojp.bagnowka.processors.download import BagnowkaDownloadProcessor
from tests.common import assert_conforms_to_schema, get_mock_settings
import os
import json
import logging
class MockBagnowkaDownloadProcessor(BagnowkaDownloadProcessor):
def __init__(self, *args, **kwargs):
su... | tests/bagnowka/test_download.py |
from datapackage_pipelines_mojp.bagnowka.processors.download import BagnowkaDownloadProcessor
from tests.common import assert_conforms_to_schema, get_mock_settings
import os
import json
import logging
class MockBagnowkaDownloadProcessor(BagnowkaDownloadProcessor):
def __init__(self, *args, **kwargs):
su... | 0.468061 | 0.333313 |
from dialogs.resources_manager import ResourcePool
from dialogs.sentence import *
from . import analyse_nominal_group
from . import other_functions
from . import analyse_sentence
from . import preprocessing
def recover_quantifier(nom_gr):
"""
recovers the quantifier and put the noun in singular form... | src/dialogs/parsing/analyse_nominal_structure.py | from dialogs.resources_manager import ResourcePool
from dialogs.sentence import *
from . import analyse_nominal_group
from . import other_functions
from . import analyse_sentence
from . import preprocessing
def recover_quantifier(nom_gr):
"""
recovers the quantifier and put the noun in singular form... | 0.450601 | 0.211967 |
# Python imports
import base64
import datetime
import logging
# AppEngine imports
from google.appengine.ext import db
from google.appengine.api import users
# Local imports
from demo import models
# Transcoder mode
CSV = 0
YAML = 1
def FieldCsvEncode(fn):
"""Encodes the field value using the specified function.
... | demo1/demo/model_io.py | # Python imports
import base64
import datetime
import logging
# AppEngine imports
from google.appengine.ext import db
from google.appengine.api import users
# Local imports
from demo import models
# Transcoder mode
CSV = 0
YAML = 1
def FieldCsvEncode(fn):
"""Encodes the field value using the specified function.
... | 0.698741 | 0.356027 |
import unittest
from GageRnR import main
import os
class MainTest(unittest.TestCase):
def test_FileNotFoundError(self):
self.assertRaises(
FileNotFoundError,
main,
['-f', "giberishFile.csv",
"-s", "3,5,11"])
def test_StructureToManyArguments(self):
... | GageRnR/tests/test_application.py | import unittest
from GageRnR import main
import os
class MainTest(unittest.TestCase):
def test_FileNotFoundError(self):
self.assertRaises(
FileNotFoundError,
main,
['-f', "giberishFile.csv",
"-s", "3,5,11"])
def test_StructureToManyArguments(self):
... | 0.481698 | 0.531149 |
import cgi
import os
import string
import random
from datetime import datetime, timedelta
from google.appengine.ext.webapp import template
from google.appengine.ext import webapp
from pintcore.accountio import AccountIO
from pintcore.postio import PostRead
from data.models import Account
from data.models import Me... | pint/profile.py |
import cgi
import os
import string
import random
from datetime import datetime, timedelta
from google.appengine.ext.webapp import template
from google.appengine.ext import webapp
from pintcore.accountio import AccountIO
from pintcore.postio import PostRead
from data.models import Account
from data.models import Me... | 0.151843 | 0.056731 |
from __future__ import absolute_import
import warnings
import six
from ..backward_layers.utils import backward_relu_, backward_softplus_
from .utils import V_slope
from tensorflow.keras.layers import Layer
from ..layers import F_FORWARD, F_IBP, F_HYBRID
from ..layers.utils import (
sigmoid_prime,
get_linear_hul... | decomon/backward_layers/activations.py | from __future__ import absolute_import
import warnings
import six
from ..backward_layers.utils import backward_relu_, backward_softplus_
from .utils import V_slope
from tensorflow.keras.layers import Layer
from ..layers import F_FORWARD, F_IBP, F_HYBRID
from ..layers.utils import (
sigmoid_prime,
get_linear_hul... | 0.834879 | 0.19544 |
import re
from datetime import datetime, timezone
from collections.abc import Mapping
from .const import ChargerStreamData, EqualizerStreamData
regex = r"^(-?(?:[1-9][0-9]*)?[0-9]{4})-(1[0-2]|0[1-9])-(3[01]|0[1-9]|[12][0-9])T(2[0-3]|[01][0-9]):([0-5][0-9]):([0-5][0-9])(\.[0-9]+)?(Z|[+-](?:2[0-3]|[01][0-9]):[0-5][0-9])... | pyeasee/utils.py | import re
from datetime import datetime, timezone
from collections.abc import Mapping
from .const import ChargerStreamData, EqualizerStreamData
regex = r"^(-?(?:[1-9][0-9]*)?[0-9]{4})-(1[0-2]|0[1-9])-(3[01]|0[1-9]|[12][0-9])T(2[0-3]|[01][0-9]):([0-5][0-9]):([0-5][0-9])(\.[0-9]+)?(Z|[+-](?:2[0-3]|[01][0-9]):[0-5][0-9])... | 0.419053 | 0.30439 |
import re
from typing import Callable
import numpy as np
import pandas as pd
from stochastic.noise import GaussianNoise
from tensortrade.stochastic.utils.parameters import ModelParameters, default
def scale_times_to_generate(times_to_generate: int, time_frame: str) -> int:
"""Adjusts the number of times to g... | tensortrade/stochastic/utils/helpers.py |
import re
from typing import Callable
import numpy as np
import pandas as pd
from stochastic.noise import GaussianNoise
from tensortrade.stochastic.utils.parameters import ModelParameters, default
def scale_times_to_generate(times_to_generate: int, time_frame: str) -> int:
"""Adjusts the number of times to g... | 0.920776 | 0.605245 |
import savu.data.data_structures.data_notes as notes
from savu.core.utils import docstring_parameter
class Padding(object):
""" A class that organises padding of the data. An instance of Padding can
be associated with a Data object in a plugin that inherits from BaseFilter,
inside :meth:`savu.plugins.base... | savu/data/data_structures/data_add_ons.py | import savu.data.data_structures.data_notes as notes
from savu.core.utils import docstring_parameter
class Padding(object):
""" A class that organises padding of the data. An instance of Padding can
be associated with a Data object in a plugin that inherits from BaseFilter,
inside :meth:`savu.plugins.base... | 0.834879 | 0.565779 |
from ..error import InvalidRequestError
from .api_resource import APIResource
class Order(APIResource):
def __init__(self, client=None):
super(Order, self).__init__(client)
def all(self, data=None, **kwargs):
""""
Get all Orders
Args:
data : Dictionary having keys... | payabbhi/resources/order.py | from ..error import InvalidRequestError
from .api_resource import APIResource
class Order(APIResource):
def __init__(self, client=None):
super(Order, self).__init__(client)
def all(self, data=None, **kwargs):
""""
Get all Orders
Args:
data : Dictionary having keys... | 0.803097 | 0.232267 |
import mock
from novaclient import api_versions
from novaclient.tests.unit import utils
from novaclient.tests.unit.v2 import fakes
from novaclient.v2 import migrations
class MigrationsTest(utils.TestCase):
def setUp(self):
super(MigrationsTest, self).setUp()
self.cs = fakes.FakeClient(api_versio... | novaclient/tests/unit/v2/test_migrations.py |
import mock
from novaclient import api_versions
from novaclient.tests.unit import utils
from novaclient.tests.unit.v2 import fakes
from novaclient.v2 import migrations
class MigrationsTest(utils.TestCase):
def setUp(self):
super(MigrationsTest, self).setUp()
self.cs = fakes.FakeClient(api_versio... | 0.512693 | 0.308138 |
import argparse
import logging
import sys
from collections import ChainMap
from copy import copy
from io import TextIOWrapper
from typing import Dict, List, Optional
import boto3
from botocore.exceptions import ClientError # type: ignore
from .cloudformation import Stack
class ParseDict(argparse.Action):
"""Pa... | cfn_sync/__init__.py | import argparse
import logging
import sys
from collections import ChainMap
from copy import copy
from io import TextIOWrapper
from typing import Dict, List, Optional
import boto3
from botocore.exceptions import ClientError # type: ignore
from .cloudformation import Stack
class ParseDict(argparse.Action):
"""Pa... | 0.563738 | 0.275009 |
import numpy as np
from scipy.sparse import csr_matrix
from toqito.matrices import gell_mann
def test_gell_mann_idx_0():
"""Gell-Mann operator for index = 0."""
expected_res = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
res = gell_mann(0)
bool_mat = np.isclose(expected_res, res)
np.testing.asse... | tests/test_matrices/test_gell_mann.py | import numpy as np
from scipy.sparse import csr_matrix
from toqito.matrices import gell_mann
def test_gell_mann_idx_0():
"""Gell-Mann operator for index = 0."""
expected_res = np.array([[1, 0, 0], [0, 1, 0], [0, 0, 1]])
res = gell_mann(0)
bool_mat = np.isclose(expected_res, res)
np.testing.asse... | 0.702632 | 0.771327 |
import sly_globals as g
import supervisely_lib as sly
from sly_visualization_progress import init_progress
from grid_gallery_widget import CompareGallery
import time
import numpy as np
def init(data, state):
state["collapsed5"] = True
state["disabled5"] = True
state["modelLoading"] = False
init_progre... | supervisely/visualization/src/ui/grid_gallery.py | import sly_globals as g
import supervisely_lib as sly
from sly_visualization_progress import init_progress
from grid_gallery_widget import CompareGallery
import time
import numpy as np
def init(data, state):
state["collapsed5"] = True
state["disabled5"] = True
state["modelLoading"] = False
init_progre... | 0.323487 | 0.284529 |
import numpy as np
import scipy.sparse as sp
import scipy.sparse.linalg as spl
import matplotlib.pylab as plt
from time import time
from S_create import S_create
from createDws import createDws
from bwdmean_w import bwdmean_w
def solveFDFD(pol, L0, wvlen, xrange, yrange, eps_r, SRC, Npml, timing=False):
## Input ... | solveFDFD.py | import numpy as np
import scipy.sparse as sp
import scipy.sparse.linalg as spl
import matplotlib.pylab as plt
from time import time
from S_create import S_create
from createDws import createDws
from bwdmean_w import bwdmean_w
def solveFDFD(pol, L0, wvlen, xrange, yrange, eps_r, SRC, Npml, timing=False):
## Input ... | 0.581778 | 0.535038 |
import unittest
from flask import Flask, Response, make_response
from flask.ext.login import current_user as login_user
from flask_rbac import RBAC, UserMixin, RoleMixin
import functools
class Role(RoleMixin):
def __repr__(self):
return '<Role %s>' % self.name
class User(UserMixin):
def __repr__(s... | test_rbac.py | import unittest
from flask import Flask, Response, make_response
from flask.ext.login import current_user as login_user
from flask_rbac import RBAC, UserMixin, RoleMixin
import functools
class Role(RoleMixin):
def __repr__(self):
return '<Role %s>' % self.name
class User(UserMixin):
def __repr__(s... | 0.431824 | 0.086208 |
"""This file implements an accurate motor model."""
from typing import Tuple
import gin
import numpy as np
from pybullet_envs.minitaur.robots import hybrid_motor_model
from pybullet_envs.minitaur.robots import robot_config
VOLTAGE_CLIPPING = 50
# TODO(b/73728631): Clamp the pwm signal instead of the OBSERVED_TORQUE... | examples/pybullet/gym/pybullet_envs/minitaur/robots/minitaur_motor_model_v2.py | """This file implements an accurate motor model."""
from typing import Tuple
import gin
import numpy as np
from pybullet_envs.minitaur.robots import hybrid_motor_model
from pybullet_envs.minitaur.robots import robot_config
VOLTAGE_CLIPPING = 50
# TODO(b/73728631): Clamp the pwm signal instead of the OBSERVED_TORQUE... | 0.865579 | 0.550668 |
import logging
import numpy
def from_positive_part(may_negative):
"""
>>> from_positive_part(numpy.array([1, -2, 3]))
array([ 1., 0., 3.])
"""
return (may_negative + abs(may_negative))/2.0
def from_negative_part(may_negative):
"""
>>> from_negative_part(numpy.array([1, -... | solver/nmfsvd.py |
import logging
import numpy
def from_positive_part(may_negative):
"""
>>> from_positive_part(numpy.array([1, -2, 3]))
array([ 1., 0., 3.])
"""
return (may_negative + abs(may_negative))/2.0
def from_negative_part(may_negative):
"""
>>> from_negative_part(numpy.array([1, -... | 0.387459 | 0.375392 |
# additional modules needed
import requests
import json
from yattag import Doc, indent
# External arguments for command line use
# parser = argparse.ArgumentParser(description='Arguments for publishing data')
# parser.add_argument("--token")
# parser.add_argument("--host")
# parser.add_argument("--folder_id" )
# pa... | wrappers/do_share_onedata.py |
# additional modules needed
import requests
import json
from yattag import Doc, indent
# External arguments for command line use
# parser = argparse.ArgumentParser(description='Arguments for publishing data')
# parser.add_argument("--token")
# parser.add_argument("--host")
# parser.add_argument("--folder_id" )
# pa... | 0.490724 | 0.135118 |
import sys
import os
import argparse
from lhafile import LhaFile, BadLhafile
from enum import Enum
# http://leonard.oxg.free.fr/ymformat.html
# https://github.com/skeezix/zikzak/blob/master/zik80/audio-gen/ym-file-format.txt
class fileTypes(Enum):
Unsupported = 0 # YMT, MIX, YM4, and YM1.
YM5_6 = 1
YM2_3 =... | ymtovgm.py | import sys
import os
import argparse
from lhafile import LhaFile, BadLhafile
from enum import Enum
# http://leonard.oxg.free.fr/ymformat.html
# https://github.com/skeezix/zikzak/blob/master/zik80/audio-gen/ym-file-format.txt
class fileTypes(Enum):
Unsupported = 0 # YMT, MIX, YM4, and YM1.
YM5_6 = 1
YM2_3 =... | 0.31563 | 0.201401 |
from subprocess import check_output, CalledProcessError
from shutil import copy2
from os import makedirs, path, geteuid
from sys import argv, exit
from typing import Tuple, List, Optional
Command = Tuple[str, ...]
def read_cmd(cmd: Command) -> str:
"""Reads the output of a command and decodes into utf8 string.
... | scripts/zz-efistub-upgrade.py |
from subprocess import check_output, CalledProcessError
from shutil import copy2
from os import makedirs, path, geteuid
from sys import argv, exit
from typing import Tuple, List, Optional
Command = Tuple[str, ...]
def read_cmd(cmd: Command) -> str:
"""Reads the output of a command and decodes into utf8 string.
... | 0.600188 | 0.280105 |
"""A store of chunks (i.e. N-dimensional arrays) based on NPY files."""
from __future__ import print_function, division, absolute_import
import os
import errno
import mmap
import contextlib
import numpy as np
from .chunkstore import (ChunkStore, StoreUnavailable, ChunkNotFound, BadChunk,
np... | katdal/chunkstore_npy.py |
"""A store of chunks (i.e. N-dimensional arrays) based on NPY files."""
from __future__ import print_function, division, absolute_import
import os
import errno
import mmap
import contextlib
import numpy as np
from .chunkstore import (ChunkStore, StoreUnavailable, ChunkNotFound, BadChunk,
np... | 0.728652 | 0.283496 |
import os
from os.path import expanduser
import sys
from glob import glob
import time
# USER CONFIG
# -----------
# Path to the folder with your games
PATH = '~/PSX'
# Which emulator to use (Supports Mednafen and experimental EPSXE)
EMULATOR = 'Mednafen'
# END OF CONFIG
# -------------
RESTORE='\033[0m'
RED='\033[... | emulauncher.py | import os
from os.path import expanduser
import sys
from glob import glob
import time
# USER CONFIG
# -----------
# Path to the folder with your games
PATH = '~/PSX'
# Which emulator to use (Supports Mednafen and experimental EPSXE)
EMULATOR = 'Mednafen'
# END OF CONFIG
# -------------
RESTORE='\033[0m'
RED='\033[... | 0.1064 | 0.118131 |
import html2markdown
from urllib.request import urlopen
from girder import events, logger
from girder.constants import AccessType
from girder.exceptions import ValidationException
from girder.utility.model_importer import ModelImporter
from girder.utility.progress import ProgressContext
from .data_map import DataMap
... | server/lib/__init__.py |
import html2markdown
from urllib.request import urlopen
from girder import events, logger
from girder.constants import AccessType
from girder.exceptions import ValidationException
from girder.utility.model_importer import ModelImporter
from girder.utility.progress import ProgressContext
from .data_map import DataMap
... | 0.433262 | 0.148819 |
import motor.motor_asyncio
from bson import ObjectId
from decouple import config
MONGO_URL = config('DB_URL')
client = motor.motor_asyncio.AsyncIOMotorClient(MONGO_URL)
database = client.Sangkuriang
# User database handler
user_collection = database.get_collection('users')
def users_helper(users) -> dict:
return ... | app/server/database/database.py | import motor.motor_asyncio
from bson import ObjectId
from decouple import config
MONGO_URL = config('DB_URL')
client = motor.motor_asyncio.AsyncIOMotorClient(MONGO_URL)
database = client.Sangkuriang
# User database handler
user_collection = database.get_collection('users')
def users_helper(users) -> dict:
return ... | 0.318697 | 0.107461 |
from fastapi import APIRouter
from fastapi import Body, HTTPException, status
from fastapi.responses import JSONResponse
from fastapi.encoders import jsonable_encoder
from typing import Optional, List
from app.models import models
from app.database.db import db
router = APIRouter(
prefix="/students",
tags=["... | app/routes/student.py | from fastapi import APIRouter
from fastapi import Body, HTTPException, status
from fastapi.responses import JSONResponse
from fastapi.encoders import jsonable_encoder
from typing import Optional, List
from app.models import models
from app.database.db import db
router = APIRouter(
prefix="/students",
tags=["... | 0.668556 | 0.086285 |
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from IPython.lib.latextools import latex_to_png
from IPython.testing import decorators as dec
# use @dec.skipif_not_sympy to skip tests requiring symp... | IPython/extensions/sympyprinting.py |
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from IPython.lib.latextools import latex_to_png
from IPython.testing import decorators as dec
# use @dec.skipif_not_sympy to skip tests requiring symp... | 0.721056 | 0.260439 |
import sys
import ssl
import os
import posixpath
try:
from urllib.request import urlopen, Request
from urllib.error import HTTPError
from urllib.parse import urlparse, urljoin
except ImportError: # Python 2.x
from urllib2 import urlopen, Request, HTTPError
from urlparse import urlparse, urljoin
... | m3u8/__init__.py |
import sys
import ssl
import os
import posixpath
try:
from urllib.request import urlopen, Request
from urllib.error import HTTPError
from urllib.parse import urlparse, urljoin
except ImportError: # Python 2.x
from urllib2 import urlopen, Request, HTTPError
from urlparse import urlparse, urljoin
... | 0.393036 | 0.091058 |
from xdrlib import Packer, Unpacker
from ..type_checked import type_checked
__all__ = [
"Integer",
"UnsignedInteger",
"Float",
"Double",
"Hyper",
"UnsignedHyper",
"Boolean",
"String",
"Opaque",
]
@type_checked
class Integer:
def __init__(self, value: int) -> None:
sel... | stellar_sdk/xdr/base.py | from xdrlib import Packer, Unpacker
from ..type_checked import type_checked
__all__ = [
"Integer",
"UnsignedInteger",
"Float",
"Double",
"Hyper",
"UnsignedHyper",
"Boolean",
"String",
"Opaque",
]
@type_checked
class Integer:
def __init__(self, value: int) -> None:
sel... | 0.851737 | 0.237476 |
from ..prometheus import prom
class Exporter(object):
"""
prometheus exporter
examples:
Exporter().go_gc_duration_seconds(filter={'instance':'127.0.0.1:9100'})
Exporter().go_gc_duration_seconds(graph=True,filter={'instance':'127.0.0.1:9100'}, start=1533615123.5, end=1533615773.5)
kwa... | prometheus_http_client/exporter/exporter.py | from ..prometheus import prom
class Exporter(object):
"""
prometheus exporter
examples:
Exporter().go_gc_duration_seconds(filter={'instance':'127.0.0.1:9100'})
Exporter().go_gc_duration_seconds(graph=True,filter={'instance':'127.0.0.1:9100'}, start=1533615123.5, end=1533615773.5)
kwa... | 0.653569 | 0.219693 |
from pathlib import Path
# Thirdy party imports
import numpy as np
def clip_list(my_list, max_len):
if max_len:
if max_len < len(my_list):
my_list = my_list[0:max_len]
return my_list
def verify_file_list(files, file_extensions):
error_message = f"list don't have image files ({file_e... | viajen/utils.py | from pathlib import Path
# Thirdy party imports
import numpy as np
def clip_list(my_list, max_len):
if max_len:
if max_len < len(my_list):
my_list = my_list[0:max_len]
return my_list
def verify_file_list(files, file_extensions):
error_message = f"list don't have image files ({file_e... | 0.583559 | 0.353177 |
import numpy as np
import pylab as P
from rfwrapper import rf
import matplotlib.patches
import matplotlib.cm
cosmo = rf.experiments.cosmo
names = ['gSKA2_baoonly', 'SKA1MID350_baoonly_25000', 'gSKAMIDMKB2_baoonly'] #'gSKASURASKAP_baoonly']
labels = ['SKA2 (gal.)', 'SKA1-MID B1 (IM)', 'SKA1-MID/SUR (gal.)']
colours = ... | plotting/plot_ska_fbao.py | import numpy as np
import pylab as P
from rfwrapper import rf
import matplotlib.patches
import matplotlib.cm
cosmo = rf.experiments.cosmo
names = ['gSKA2_baoonly', 'SKA1MID350_baoonly_25000', 'gSKAMIDMKB2_baoonly'] #'gSKASURASKAP_baoonly']
labels = ['SKA2 (gal.)', 'SKA1-MID B1 (IM)', 'SKA1-MID/SUR (gal.)']
colours = ... | 0.510741 | 0.433921 |
def remplir_listbox_p(no_statut,listebox,hist,p_I):
"""Permet de remplir une listbox avec des paragraphes, selon des options
bien précises:
-l'argument "no_statut" représente le statut à éliminer: si un paragraphe
possède ce statut, il ne sera pas dans la listbox.
-l'argument p_I permet d'exclure u... | licence_informatique/L1/Editeur_de_livre/Editeur_de_livre/fonctions_ajouts_suppr/fonctions_annexes.py |
def remplir_listbox_p(no_statut,listebox,hist,p_I):
"""Permet de remplir une listbox avec des paragraphes, selon des options
bien précises:
-l'argument "no_statut" représente le statut à éliminer: si un paragraphe
possède ce statut, il ne sera pas dans la listbox.
-l'argument p_I permet d'exclure u... | 0.115761 | 0.327695 |
from __future__ import print_function
from __future__ import absolute_import
from .collection import Collection
from .host import HostCollection
from comodit_client.api.settings import HasSettings
from comodit_client.rest.exceptions import ApiException
from comodit_client.api.exceptions import PythonApiException
from ... | comodit_client/api/environment.py | from __future__ import print_function
from __future__ import absolute_import
from .collection import Collection
from .host import HostCollection
from comodit_client.api.settings import HasSettings
from comodit_client.rest.exceptions import ApiException
from comodit_client.api.exceptions import PythonApiException
from ... | 0.776029 | 0.170957 |
def spacyTrainTestValidationSplitter( data, test_ratio, validation_ratio, verbose=False):
import random
random.seed(0)
random.shuffle(data)
training_ratio = 1 - (test_ratio + validation_ratio)
training_size = training_ratio * len(data)
training_size = int( training_size)
testing... | bloo/preprocessingMaster.py | def spacyTrainTestValidationSplitter( data, test_ratio, validation_ratio, verbose=False):
import random
random.seed(0)
random.shuffle(data)
training_ratio = 1 - (test_ratio + validation_ratio)
training_size = training_ratio * len(data)
training_size = int( training_size)
testing... | 0.492188 | 0.395426 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import csv
import json
import operator
import os
from absl import app
from absl import flags
import attr
import numpy as np
import tensorflow.compat.v1 as tf # tf
from seq2act.data_generat... | seq2act/data_generation/create_commoncrawl_dataset.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import csv
import json
import operator
import os
from absl import app
from absl import flags
import attr
import numpy as np
import tensorflow.compat.v1 as tf # tf
from seq2act.data_generat... | 0.715026 | 0.189896 |
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.pyplot as plt
from matplotlib import *
from numpy import *
from mpl_toolkits.mplot3d.art3d import *
from matplotlib.animation import *
from matplotlib.text import Annotation
from mpl_toolkits.mplot3d.proj3d import proj_transform
name = "Truncated Cuboctahedr... | src/Current Models/Archimedean/truncated_cuboctahedron.py |
import mpl_toolkits.mplot3d.axes3d as p3
import matplotlib.pyplot as plt
from matplotlib import *
from numpy import *
from mpl_toolkits.mplot3d.art3d import *
from matplotlib.animation import *
from matplotlib.text import Annotation
from mpl_toolkits.mplot3d.proj3d import proj_transform
name = "Truncated Cuboctahedr... | 0.18188 | 0.520557 |
import collections
from absl.testing import parameterized
import tensorflow as tf
from tensorflow_federated.python.aggregators import factory
from tensorflow_federated.python.aggregators import mean_factory
from tensorflow_federated.python.aggregators import test_utils as aggregators_test_utils
from tensorflow_federa... | tensorflow_federated/python/aggregators/mean_factory_test.py |
import collections
from absl.testing import parameterized
import tensorflow as tf
from tensorflow_federated.python.aggregators import factory
from tensorflow_federated.python.aggregators import mean_factory
from tensorflow_federated.python.aggregators import test_utils as aggregators_test_utils
from tensorflow_federa... | 0.847653 | 0.457197 |
from tests.lib.testcase import ConfluenceTestCase
from tests.lib.testcase import setup_builder
from tests.lib import parse
import os
class TestConfluenceRstDefinitionLists(ConfluenceTestCase):
@classmethod
def setUpClass(cls):
super(TestConfluenceRstDefinitionLists, cls).setUpClass()
cls.data... | tests/unit-tests/test_rst_definition_lists.py | from tests.lib.testcase import ConfluenceTestCase
from tests.lib.testcase import setup_builder
from tests.lib import parse
import os
class TestConfluenceRstDefinitionLists(ConfluenceTestCase):
@classmethod
def setUpClass(cls):
super(TestConfluenceRstDefinitionLists, cls).setUpClass()
cls.data... | 0.446736 | 0.506286 |
from googlecloudsdk.api_lib.compute import base_classes
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.compute import flags
from googlecloudsdk.command_lib.compute.instances import flags as instance_flags
@base.ReleaseTracks(base.ReleaseTrack.GA, base.ReleaseTrack.BETA)
class Stop(base_class... | google-cloud-sdk/.install/.backup/lib/surface/compute/instances/stop.py | from googlecloudsdk.api_lib.compute import base_classes
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.compute import flags
from googlecloudsdk.command_lib.compute.instances import flags as instance_flags
@base.ReleaseTracks(base.ReleaseTrack.GA, base.ReleaseTrack.BETA)
class Stop(base_class... | 0.665193 | 0.09556 |
import os
import requests
from pyenzyme.enzymeml.tools import EnzymeMLReader
class NBHelper:
_workspace = None
_apiUrl = None
_enzmldoc = None
def __init__(self, apiURL):
'''
Helper Class for general notebook functions
'''
self._apiUrl = apiURL
def getWorkspace(s... | utilities/nbhelper.py | import os
import requests
from pyenzyme.enzymeml.tools import EnzymeMLReader
class NBHelper:
_workspace = None
_apiUrl = None
_enzmldoc = None
def __init__(self, apiURL):
'''
Helper Class for general notebook functions
'''
self._apiUrl = apiURL
def getWorkspace(s... | 0.185615 | 0.161849 |
import os
from copy import deepcopy
from datetime import datetime
# -------------------------------------------------------------------------------------
# Method to make folder
def make_folder(path_folder):
if not os.path.exists(path_folder):
os.makedirs(path_folder)
# -----------------------------------... | apps/Analyzer_Execution/lib_utils_system.py | import os
from copy import deepcopy
from datetime import datetime
# -------------------------------------------------------------------------------------
# Method to make folder
def make_folder(path_folder):
if not os.path.exists(path_folder):
os.makedirs(path_folder)
# -----------------------------------... | 0.23793 | 0.177882 |
import os
from .....base import MetaWorkflow, load_config, register_workflow
from traits.api import HasTraits, Directory, Bool
import traits.api as traits
from .....flexible_datagrabber import Data, DataBase
"""
Part 1: Define a MetaWorkflow
"""
mwf = MetaWorkflow()
mwf.uuid = 'f6ac883016fe11e28310d4bed9336269'
mwf.h... | bips/workflows/gablab/wips/fmri/group_analysis/one_sample_t_surface.py | import os
from .....base import MetaWorkflow, load_config, register_workflow
from traits.api import HasTraits, Directory, Bool
import traits.api as traits
from .....flexible_datagrabber import Data, DataBase
"""
Part 1: Define a MetaWorkflow
"""
mwf = MetaWorkflow()
mwf.uuid = 'f6ac883016fe11e28310d4bed9336269'
mwf.h... | 0.38318 | 0.191479 |
from pysmt.environment import Environment as PysmtEnv
from pysmt.fnode import FNode
import pysmt.typing as types
from utils import symb_to_next
def transition_system(env: PysmtEnv) -> (frozenset, FNode, FNode, FNode):
assert isinstance(env, PysmtEnv)
mgr = env.formula_manager
pc = mgr.Symbol("pc", types.... | benchmarks/software_nontermination/f3/C/SV-COMP_Termination_Category/HenzingerJhalaMajumdarSutre-POPL2002-LockingExample_false-termination.py | from pysmt.environment import Environment as PysmtEnv
from pysmt.fnode import FNode
import pysmt.typing as types
from utils import symb_to_next
def transition_system(env: PysmtEnv) -> (frozenset, FNode, FNode, FNode):
assert isinstance(env, PysmtEnv)
mgr = env.formula_manager
pc = mgr.Symbol("pc", types.... | 0.257672 | 0.423041 |
from kubesat.base_simulation import BaseSimulation
from kubesat.services import ServiceTypes
from kubesat.validation import MessageSchemas, check_pointing_data, SharedStorageSchemas
simulation = BaseSimulation(ServiceTypes.Groundstation, SharedStorageSchemas.GROUND_STATION_SERVICE_STORAGE)
@simulation.subscribe_data_... | simulation/groundstation/ground_service.py | from kubesat.base_simulation import BaseSimulation
from kubesat.services import ServiceTypes
from kubesat.validation import MessageSchemas, check_pointing_data, SharedStorageSchemas
simulation = BaseSimulation(ServiceTypes.Groundstation, SharedStorageSchemas.GROUND_STATION_SERVICE_STORAGE)
@simulation.subscribe_data_... | 0.823612 | 0.250964 |
import logging
import os
from subprocess import Popen
from tempfile import TemporaryFile
from .settings import STATE_DIR
from .utils import diff_problem_lines, gb
log = logging.getLogger(__name__)
class MonitorSession:
class States:
initial = 'initial'
running = 'running'
complete = 'co... | lintmon/monitor_session.py | import logging
import os
from subprocess import Popen
from tempfile import TemporaryFile
from .settings import STATE_DIR
from .utils import diff_problem_lines, gb
log = logging.getLogger(__name__)
class MonitorSession:
class States:
initial = 'initial'
running = 'running'
complete = 'co... | 0.529263 | 0.210462 |
from collections import OrderedDict
import six
_TASK_STATUS_STRINGS = OrderedDict(
[
("create", ("creating", "created")),
("initialize", ("initializing", "initialized")),
("update", ("updating", "updated")),
("finalize", ("finalizing", "finalized")),
]
)
_TASK_NAMES_IN_ORDER =... | deprecated/task_status.py |
from collections import OrderedDict
import six
_TASK_STATUS_STRINGS = OrderedDict(
[
("create", ("creating", "created")),
("initialize", ("initializing", "initialized")),
("update", ("updating", "updated")),
("finalize", ("finalizing", "finalized")),
]
)
_TASK_NAMES_IN_ORDER =... | 0.49292 | 0.181155 |
import re
import shutil
import webbrowser
from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from invoke import Exit, task
from termcolor import cprint
from tasks.utils import PROJECT_INFO, ensure_reports_dir, print_header
_COVERAGE_DAT_COMBINED = PROJECT_INFO.reports_directory / "cove... | tasks/test.py |
import re
import shutil
import webbrowser
from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from invoke import Exit, task
from termcolor import cprint
from tasks.utils import PROJECT_INFO, ensure_reports_dir, print_header
_COVERAGE_DAT_COMBINED = PROJECT_INFO.reports_directory / "cove... | 0.77193 | 0.247447 |
from pkg_resources import resource_filename
import json
import os
from moto import mock_s3
from moto import mock_dynamodb2
from moto import mock_sqs
import boto3
from botocore.exceptions import ClientError
import time
from spdb.project.test.resource_setup import get_image_dict, get_anno_dict
from spdb.project import... | spdb/spatialdb/test/setup.py |
from pkg_resources import resource_filename
import json
import os
from moto import mock_s3
from moto import mock_dynamodb2
from moto import mock_sqs
import boto3
from botocore.exceptions import ClientError
import time
from spdb.project.test.resource_setup import get_image_dict, get_anno_dict
from spdb.project import... | 0.568176 | 0.084493 |
# Common values reported
VALUE_EPOCH = "epoch"
VALUE_ITERATION = "iteration"
VALUE_ACCURACY = "accuracy"
VALUE_BLEU = "bleu"
VALUE_TOP1 = "top1"
VALUE_TOP5 = "top5"
VALUE_BBOX_MAP = "bbox_map"
VALUE_MASK_MAP = "mask_map"
VALUE_BCE = "binary_cross_entropy"
# Timed blocks (used with timed_function & tim... | dllogger/tags.py |
# Common values reported
VALUE_EPOCH = "epoch"
VALUE_ITERATION = "iteration"
VALUE_ACCURACY = "accuracy"
VALUE_BLEU = "bleu"
VALUE_TOP1 = "top1"
VALUE_TOP5 = "top5"
VALUE_BBOX_MAP = "bbox_map"
VALUE_MASK_MAP = "mask_map"
VALUE_BCE = "binary_cross_entropy"
# Timed blocks (used with timed_function & tim... | 0.31342 | 0.057732 |
import django
import re
from bs4 import BeautifulSoup
import pandas as pd
from urllib.request import urlopen
from urllib.parse import quote_plus
from selenium import webdriver
import time
from sqlalchemy import create_engine
import pymysql
import os
import json
from django.http import HttpResponse
# Python이 실행될 때 DJAN... | book/crawling.py | import django
import re
from bs4 import BeautifulSoup
import pandas as pd
from urllib.request import urlopen
from urllib.parse import quote_plus
from selenium import webdriver
import time
from sqlalchemy import create_engine
import pymysql
import os
import json
from django.http import HttpResponse
# Python이 실행될 때 DJAN... | 0.09606 | 0.08886 |
import random
from hio.base import doing
from hio.core import http
from hio.core.tcp import clienting
from hio.help import decking
from . import httping
from .. import help
from .. import kering
from ..app import obtaining
from ..core import eventing, parsing, coring
from ..db import dbing
logger = help.ogler.getLog... | src/keri/app/agenting.py | import random
from hio.base import doing
from hio.core import http
from hio.core.tcp import clienting
from hio.help import decking
from . import httping
from .. import help
from .. import kering
from ..app import obtaining
from ..core import eventing, parsing, coring
from ..db import dbing
logger = help.ogler.getLog... | 0.65379 | 0.206374 |
import torch
from torch.nn import functional as F
from ..utils import concat_box_prediction_layers
from maskrcnn_benchmark.layers import smooth_l1_loss
from maskrcnn_benchmark.layers import SigmoidFocalLoss
from maskrcnn_benchmark.modeling.matcher import Matcher
from maskrcnn_benchmark.modeling.utils import cat
from ... | maskrcnn_benchmark/modeling/rpn/retinanet/loss.py | import torch
from torch.nn import functional as F
from ..utils import concat_box_prediction_layers
from maskrcnn_benchmark.layers import smooth_l1_loss
from maskrcnn_benchmark.layers import SigmoidFocalLoss
from maskrcnn_benchmark.modeling.matcher import Matcher
from maskrcnn_benchmark.modeling.utils import cat
from ... | 0.883034 | 0.275775 |
import clickhouse_driver as cd
import pandahouse as ph
import os
import logging
import configparser
import src.data.db_conf as dc
fp = os.path.dirname(__file__)
config = configparser.ConfigParser()
config.read(os.path.join(fp, "../../conf.ini"))
logpath = os.path.join(fp, "../../docs/log.txt")
logger = logging.getL... | src/data/clickhouse_control.py | import clickhouse_driver as cd
import pandahouse as ph
import os
import logging
import configparser
import src.data.db_conf as dc
fp = os.path.dirname(__file__)
config = configparser.ConfigParser()
config.read(os.path.join(fp, "../../conf.ini"))
logpath = os.path.join(fp, "../../docs/log.txt")
logger = logging.getL... | 0.567457 | 0.116261 |
from __future__ import absolute_import
import six
from sentry.testutils import APITestCase, SnubaTestCase
from django.core.urlresolvers import reverse
from sentry.discover.models import DiscoverSavedQuery, DiscoverSavedQueryProject
class DiscoverSavedQueryDetailTest(APITestCase, SnubaTestCase):
feature_name = "... | tests/snuba/api/endpoints/test_discover_saved_query_detail.py | from __future__ import absolute_import
import six
from sentry.testutils import APITestCase, SnubaTestCase
from django.core.urlresolvers import reverse
from sentry.discover.models import DiscoverSavedQuery, DiscoverSavedQueryProject
class DiscoverSavedQueryDetailTest(APITestCase, SnubaTestCase):
feature_name = "... | 0.551574 | 0.388038 |
import tensorflow as tf
class PatchEmbedding(tf.keras.layers.Layer):
def __init__(self , size , num_of_patches , projection_dim):
super().__init__()
self.size = size
self.num_of_patches = num_of_patches
self.projection_dim = projection_dim
self.projection = tf.keras.layers.Dense(projection_dim)... | models/deit.py | import tensorflow as tf
class PatchEmbedding(tf.keras.layers.Layer):
def __init__(self , size , num_of_patches , projection_dim):
super().__init__()
self.size = size
self.num_of_patches = num_of_patches
self.projection_dim = projection_dim
self.projection = tf.keras.layers.Dense(projection_dim)... | 0.891304 | 0.438725 |
import sys
from datetime import datetime
from decimal import Decimal
from django.test import TestCase
from capone.api.actions import create_transaction
from capone.api.actions import credit
from capone.api.actions import debit
from capone.api.actions import void_transaction
from capone.exceptions import TransactionBa... | capone/tests/test_transaction_model.py | import sys
from datetime import datetime
from decimal import Decimal
from django.test import TestCase
from capone.api.actions import create_transaction
from capone.api.actions import credit
from capone.api.actions import debit
from capone.api.actions import void_transaction
from capone.exceptions import TransactionBa... | 0.473414 | 0.234264 |
# FinSim
# Copyright 2018 Carnegie Mellon University. All Rights Reserved.
# NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING,... | finsim-cc/src/finsim_cc/old/demo/demo_skim_fraud_allhands_scenario.py |
# FinSim
# Copyright 2018 Carnegie Mellon University. All Rights Reserved.
# NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING,... | 0.251372 | 0.089335 |
diskcreate = """# Add a 10G disk to vm, using default pool
$ kcli create disk -s 10 vm1
# Add 5GB disk to vm1, using a pool named images
$ kcli create disk -s 5 -p images vm2
"""
diskdelete = """# Delete disk named xxx.img
$ kcli delete disk xxx.img
# Delete disk named vm1_2.img from vm vm1
$ kcli delete disk --vm v... | kvirt/examples.py | diskcreate = """# Add a 10G disk to vm, using default pool
$ kcli create disk -s 10 vm1
# Add 5GB disk to vm1, using a pool named images
$ kcli create disk -s 5 -p images vm2
"""
diskdelete = """# Delete disk named xxx.img
$ kcli delete disk xxx.img
# Delete disk named vm1_2.img from vm vm1
$ kcli delete disk --vm v... | 0.601594 | 0.18352 |
import os, sys, random
''' JANGAN CUMA COPAS DAN GANTI VARIABEL! '''
def gacha(n,file):
file = open(file,'w')
for i in range(n):
file.write("{0}\n".format(random.randint(1,100)))
file.close()
return True
def ganjilGenap(file):
file = open(file,'r')
number = file.readlines... | Chapter 10/1.py | import os, sys, random
''' JANGAN CUMA COPAS DAN GANTI VARIABEL! '''
def gacha(n,file):
file = open(file,'w')
for i in range(n):
file.write("{0}\n".format(random.randint(1,100)))
file.close()
return True
def ganjilGenap(file):
file = open(file,'r')
number = file.readlines... | 0.033844 | 0.065306 |
import discord
from discord.ext import commands
from ipinfo import getHandler
from ipaddress import ip_address as ip_checker
from asyncpraw import Reddit
from json import load
from pprint import pprint
class settings:
def __init__(self):
"""Retrieves data from settings.json to manage the project and e... | bot.py | import discord
from discord.ext import commands
from ipinfo import getHandler
from ipaddress import ip_address as ip_checker
from asyncpraw import Reddit
from json import load
from pprint import pprint
class settings:
def __init__(self):
"""Retrieves data from settings.json to manage the project and e... | 0.460046 | 0.126461 |
import discord
from discord.ext import commands
import os # For loading cogs (extensions).
import json # For loading prefixes.
def get_prefix(client, message):
with open("prefixes.json", "r") as prefix_file:
prefixes = json.load(prefix_file)
return prefixes[str(message.guild.id)]
... | Hubert.py |
import discord
from discord.ext import commands
import os # For loading cogs (extensions).
import json # For loading prefixes.
def get_prefix(client, message):
with open("prefixes.json", "r") as prefix_file:
prefixes = json.load(prefix_file)
return prefixes[str(message.guild.id)]
... | 0.539469 | 0.113408 |
# src/utils/model_ops.py
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm
from torch.nn import init
def init_weights(modules, initialize):
for module in modules():
if (isinstance(module, nn.Conv2d)
or isinstance(module, nn.ConvT... | src/utils/model_ops.py |
# src/utils/model_ops.py
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils import spectral_norm
from torch.nn import init
def init_weights(modules, initialize):
for module in modules():
if (isinstance(module, nn.Conv2d)
or isinstance(module, nn.ConvT... | 0.89913 | 0.400075 |
import numpy as np
import torch
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.metrics import adjusted_mutual_info_score
from ..utils import common_functions as c_f
from . import utils as val_utils
from .base_validator import BaseValidator
def check_centroid_init(centroid_init)... | src/pytorch_adapt/validators/class_cluster_validator.py | import numpy as np
import torch
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.metrics import adjusted_mutual_info_score
from ..utils import common_functions as c_f
from . import utils as val_utils
from .base_validator import BaseValidator
def check_centroid_init(centroid_init)... | 0.86431 | 0.321567 |
import logging
from util import textutil
class DataManager:
def __init__(self, and_op='&', or_op='|'):
self.logger = logging.getLogger("chobomemo")
self.memoList = {}
self.memoListOrigin = {}
self.hasUpdated = False
self.enableDB = True
self.and_op = and_op
... | src/manager/DataManager.py | import logging
from util import textutil
class DataManager:
def __init__(self, and_op='&', or_op='|'):
self.logger = logging.getLogger("chobomemo")
self.memoList = {}
self.memoListOrigin = {}
self.hasUpdated = False
self.enableDB = True
self.and_op = and_op
... | 0.116387 | 0.136752 |
import time
import math
import board
import displayio
import terminalio
import adafruit_displayio_ssd1306
import label
from adafruit_onewire.bus import OneWireBus
import adafruit_ds18x20
from digitalio import DigitalInOut, Direction, Pull
target_temp=72
compressor_status = False
#set the initial state o... | code.py | import time
import math
import board
import displayio
import terminalio
import adafruit_displayio_ssd1306
import label
from adafruit_onewire.bus import OneWireBus
import adafruit_ds18x20
from digitalio import DigitalInOut, Direction, Pull
target_temp=72
compressor_status = False
#set the initial state o... | 0.210442 | 0.111 |
import os
from flask import Flask
from time import sleep
from flask import request, jsonify
import requests
import json
from concurrent.futures import ThreadPoolExecutor
from includes import *
import cv2
import timeit
# DOCS https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecuto... | vas_environment/API_rest_module/API_REST.py | import os
from flask import Flask
from time import sleep
from flask import request, jsonify
import requests
import json
from concurrent.futures import ThreadPoolExecutor
from includes import *
import cv2
import timeit
# DOCS https://docs.python.org/3/library/concurrent.futures.html#concurrent.futures.ThreadPoolExecuto... | 0.086243 | 0.06663 |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django.contrib.auth import get_user_model
# Create your models here.
class UserProfile(AbstractUser):
"""
自定义的用户Model
拓展字段gender, nick_name, mobile, qq
"""
GENDER_CHOICES = (
('male', "男"),
('fe... | apps/account/models.py | from django.db import models
from django.contrib.auth.models import AbstractUser
from django.contrib.auth import get_user_model
# Create your models here.
class UserProfile(AbstractUser):
"""
自定义的用户Model
拓展字段gender, nick_name, mobile, qq
"""
GENDER_CHOICES = (
('male', "男"),
('fe... | 0.430387 | 0.100216 |
from abc import ABC
from typing import Optional, Union
try: # Assume we're a sub-module in a package.
from utils import arguments as arg
from interfaces import (
ConnectorInterface, LeafConnectorInterface, Context, Stream,
ContentFormatInterface, ContentType,
AUTO, Auto, AutoBool, Auto... | connectors/abstract/leaf_connector.py | from abc import ABC
from typing import Optional, Union
try: # Assume we're a sub-module in a package.
from utils import arguments as arg
from interfaces import (
ConnectorInterface, LeafConnectorInterface, Context, Stream,
ContentFormatInterface, ContentType,
AUTO, Auto, AutoBool, Auto... | 0.888692 | 0.212681 |
import sys
import argparse
import flask
import json
import psycopg2
from psycopg2.extras import RealDictCursor
from config import user, database, password
app = flask.Flask(__name__)
def connect_to_database():
'''Connect to the olympics database with specified user and password.'''
try:
connection = (... | olympics-api/olympics_api.py | import sys
import argparse
import flask
import json
import psycopg2
from psycopg2.extras import RealDictCursor
from config import user, database, password
app = flask.Flask(__name__)
def connect_to_database():
'''Connect to the olympics database with specified user and password.'''
try:
connection = (... | 0.17259 | 0.069542 |
import numpy as np
import math
import paddle
import paddle.nn as nn
import paddle.tensor as tensor
from paddle.nn import Embedding
from paddle.nn.layer.transformer import _convert_attention_mask
from .. import PretrainedModel, register_base_model
__all__ = [
'BlenderbotModel', 'BlenderbotPretrainedModel', 'Blend... | paddlenlp/transformers/blenderbot/modeling.py |
import numpy as np
import math
import paddle
import paddle.nn as nn
import paddle.tensor as tensor
from paddle.nn import Embedding
from paddle.nn.layer.transformer import _convert_attention_mask
from .. import PretrainedModel, register_base_model
__all__ = [
'BlenderbotModel', 'BlenderbotPretrainedModel', 'Blend... | 0.852199 | 0.304565 |
from flask import Flask, render_template, request, redirect, url_for, flash
from flask_login import LoginManager, login_user, login_required, current_user, logout_user
from flask_bcrypt import Bcrypt
app = Flask(__name__)
# Man skal have en "secret_key" for at kryptere bruger browser sessionen!
app.secret_key = '387r... | main.py | from flask import Flask, render_template, request, redirect, url_for, flash
from flask_login import LoginManager, login_user, login_required, current_user, logout_user
from flask_bcrypt import Bcrypt
app = Flask(__name__)
# Man skal have en "secret_key" for at kryptere bruger browser sessionen!
app.secret_key = '387r... | 0.296349 | 0.080502 |
import datetime
import pytest
from mlbench_core.api import ApiClient
@pytest.fixture
def kubernetes_api_client_node_port(mocker):
mock_client = mocker.patch("kubernetes.client.CoreV1Api")
mock_client.return_value.list_service_for_all_namespaces.return_value.items.__getitem__.return_value.spec.type = (
... | tests/test_api.py | import datetime
import pytest
from mlbench_core.api import ApiClient
@pytest.fixture
def kubernetes_api_client_node_port(mocker):
mock_client = mocker.patch("kubernetes.client.CoreV1Api")
mock_client.return_value.list_service_for_all_namespaces.return_value.items.__getitem__.return_value.spec.type = (
... | 0.545286 | 0.135261 |
import sys
if '..' not in sys.path:
sys.path.append('..')
import random as rd
import pandas as pd
from lib.measures import *
from lib.experiment import Experiment, options_to_str, process_command_line
from lib.calibrationSettings import calibration_lockdown_dates, calibration_start_dates
from lib.calibrationFuncti... | sim/sim-baseline.py | import sys
if '..' not in sys.path:
sys.path.append('..')
import random as rd
import pandas as pd
from lib.measures import *
from lib.experiment import Experiment, options_to_str, process_command_line
from lib.calibrationSettings import calibration_lockdown_dates, calibration_start_dates
from lib.calibrationFuncti... | 0.40698 | 0.107672 |
import numpy as np
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.modules import GRUGate, \
RelativeMultiHeadAttention, SkipConnection
from ray.rllib.models.torch.recurrent_net import RecurrentNetwork
from ray.rllib.utils.annotations import o... | rllib/models/torch/attention_net.py | import numpy as np
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.modules import GRUGate, \
RelativeMultiHeadAttention, SkipConnection
from ray.rllib.models.torch.recurrent_net import RecurrentNetwork
from ray.rllib.utils.annotations import o... | 0.940599 | 0.534491 |
from six import python_2_unicode_compatible
from quickbooks.objects.detailline import DetailLine, ItemBasedExpenseLine, AccountBasedExpenseLine, \
TDSLine
from .base import Ref, LinkedTxn, QuickbooksManagedObject, QuickbooksTransactionEntity, \
LinkedTxnMixin
from .tax import TxnTaxDetail
from ..mixins import ... | quickbooks/objects/bill.py | from six import python_2_unicode_compatible
from quickbooks.objects.detailline import DetailLine, ItemBasedExpenseLine, AccountBasedExpenseLine, \
TDSLine
from .base import Ref, LinkedTxn, QuickbooksManagedObject, QuickbooksTransactionEntity, \
LinkedTxnMixin
from .tax import TxnTaxDetail
from ..mixins import ... | 0.711732 | 0.264361 |
import log_helper
import os
import seldon_deploy_sdk
from seldon_deploy_sdk import Configuration, ApiClient,EnvironmentApi,ModelMetadataServiceApi
from seldon_deploy_sdk.auth import OIDCAuthenticator
oidc_server = os.getenv("OIDC_PROVIDER")
oidc_client_id = os.getenv("CLIENT_ID")
oidc_client_secret = os.getenv("CLIENT... | components/seldon-request-logger/app/log_mapping.py | import log_helper
import os
import seldon_deploy_sdk
from seldon_deploy_sdk import Configuration, ApiClient,EnvironmentApi,ModelMetadataServiceApi
from seldon_deploy_sdk.auth import OIDCAuthenticator
oidc_server = os.getenv("OIDC_PROVIDER")
oidc_client_id = os.getenv("CLIENT_ID")
oidc_client_secret = os.getenv("CLIENT... | 0.242744 | 0.08207 |