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 Youtube import search_vidid,all_cmt
from Senti import analyse_sentiment
import plotly.graph_objs as go
import pandas as pd
import datetime as dt
#FUNCTION TO PLOT YOUTUBE GRAPH
days = dt.timedelta(days=10)
end_date = dt.date.today()
begin_date = end_date - days
global yt_vid_comments
yt_vid_comments = []
def ... | youtubegraph.py | from Youtube import search_vidid,all_cmt
from Senti import analyse_sentiment
import plotly.graph_objs as go
import pandas as pd
import datetime as dt
#FUNCTION TO PLOT YOUTUBE GRAPH
days = dt.timedelta(days=10)
end_date = dt.date.today()
begin_date = end_date - days
global yt_vid_comments
yt_vid_comments = []
def ... | 0.455441 | 0.372106 |
from itertools import chain
import numpy as np
import scipy.signal
import mxnet as mx
class Agent(object):
def __init__(self, input_size, act_space, config):
super(Agent, self).__init__()
self.input_size = input_size
self.num_envs = config.num_envs
self.ctx = config.ctx
se... | example/reinforcement-learning/parallel_actor_critic/model.py |
from itertools import chain
import numpy as np
import scipy.signal
import mxnet as mx
class Agent(object):
def __init__(self, input_size, act_space, config):
super(Agent, self).__init__()
self.input_size = input_size
self.num_envs = config.num_envs
self.ctx = config.ctx
se... | 0.662032 | 0.363026 |
from string import Template
from build_tools import convert_usd_version_to_int
ARNOLD_CLASS_NAMES = [
'Alembic', 'Box', 'Cone', 'Curves', 'Disk', 'Implicit', 'Nurbs', 'Plane',
'Points', 'Polymesh', 'Procedural', 'Sphere', 'Usd', 'Volume', 'VolumeImplicit']
class DotTemplate(Template):
delimiter = '$'
... | tools/utils/configure.py | from string import Template
from build_tools import convert_usd_version_to_int
ARNOLD_CLASS_NAMES = [
'Alembic', 'Box', 'Cone', 'Curves', 'Disk', 'Implicit', 'Nurbs', 'Plane',
'Points', 'Polymesh', 'Procedural', 'Sphere', 'Usd', 'Volume', 'VolumeImplicit']
class DotTemplate(Template):
delimiter = '$'
... | 0.304765 | 0.155174 |
import numpy as np
import torch
# Source: https://github.com/openai/spinningup/blob/master/spinup/algos/pytorch/sac/sac.py
class ReplayBuffer:
"""
A simple FIFO experience replay buffer for SAC agents.
"""
def __init__(self, obs_dim, act_dim, size, device="cpu"):
self.obs_buf = torch.zeros(size=(size, ob... | agent/sac1/replaybuffer.py | import numpy as np
import torch
# Source: https://github.com/openai/spinningup/blob/master/spinup/algos/pytorch/sac/sac.py
class ReplayBuffer:
"""
A simple FIFO experience replay buffer for SAC agents.
"""
def __init__(self, obs_dim, act_dim, size, device="cpu"):
self.obs_buf = torch.zeros(size=(size, ob... | 0.796649 | 0.60711 |
# Python modules
import re
# NOC modules
from noc.core.ip import IPv4
from noc.sa.profiles.Generic.get_interfaces import Script as BaseScript
from noc.sa.interfaces.igetinterfaces import IGetInterfaces
class Script(BaseScript):
name = "EdgeCore.ES.get_interfaces"
interface = IGetInterfaces
cache = True... | sa/profiles/EdgeCore/ES/get_interfaces.py |
# Python modules
import re
# NOC modules
from noc.core.ip import IPv4
from noc.sa.profiles.Generic.get_interfaces import Script as BaseScript
from noc.sa.interfaces.igetinterfaces import IGetInterfaces
class Script(BaseScript):
name = "EdgeCore.ES.get_interfaces"
interface = IGetInterfaces
cache = True... | 0.295332 | 0.143248 |
import numpy as np
import matplotlib.pyplot as plt
from scipy import io
from pyvib.newmark import newmark_beta_nl as newmark_beta
from pyvib.forcing import sineForce, randomPeriodic, sineSweep, toMDOF
from pyvib.nlforce import NL_force, NL_polynomial
from collections import namedtuple
import pickle
savedata = True... | examples/nlbeam/newmark.py |
import numpy as np
import matplotlib.pyplot as plt
from scipy import io
from pyvib.newmark import newmark_beta_nl as newmark_beta
from pyvib.forcing import sineForce, randomPeriodic, sineSweep, toMDOF
from pyvib.nlforce import NL_force, NL_polynomial
from collections import namedtuple
import pickle
savedata = True... | 0.377082 | 0.387864 |
from functools import partial
from zcls2.model.model.ghostnet import default_cfgs, build_model_with_cfg
from zcls2.model.model.ghostnet import GhostNet as ZGhostNet
from simpleir.configs.key_words import KEY_FEAT
__all__ = ["GhostNet", "ghostnet_050", "ghostnet_100", "ghostnet_130"]
class GhostNet(ZGhostNet):
_... | simpleir/models/ghostnet.py | from functools import partial
from zcls2.model.model.ghostnet import default_cfgs, build_model_with_cfg
from zcls2.model.model.ghostnet import GhostNet as ZGhostNet
from simpleir.configs.key_words import KEY_FEAT
__all__ = ["GhostNet", "ghostnet_050", "ghostnet_100", "ghostnet_130"]
class GhostNet(ZGhostNet):
_... | 0.813646 | 0.302124 |
from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter, PipelineGlobalSinkFilter
from ATK.EQ import DoubleCustomIIRFilter
from ATK.Tools import DoubleCachedSinusGeneratorFilter, DoubleCachedCosinusGeneratorFilter, DoubleApplyGainFilter, DoubleVolumeFilter, DoubleSumFilter
import matplotlib.pyplot as plt
... | Examples/modulation/display_stereo_phaser.py |
from ATK.Core import DoubleInPointerFilter, DoubleOutPointerFilter, PipelineGlobalSinkFilter
from ATK.EQ import DoubleCustomIIRFilter
from ATK.Tools import DoubleCachedSinusGeneratorFilter, DoubleCachedCosinusGeneratorFilter, DoubleApplyGainFilter, DoubleVolumeFilter, DoubleSumFilter
import matplotlib.pyplot as plt
... | 0.483161 | 0.27328 |
"""Example of debugging TensorFlow runtime errors using tfdbg."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
import tempfile
import numpy as np
import tensorflow
from tensorflow.python import debug as tf_debug
tf = tensorfl... | tensorflow/python/debug/examples/debug_errors.py | """Example of debugging TensorFlow runtime errors using tfdbg."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
import tempfile
import numpy as np
import tensorflow
from tensorflow.python import debug as tf_debug
tf = tensorfl... | 0.689096 | 0.309493 |
from __future__ import print_function
""" The functions implemented here are standard benchmarks from literature. """
__author__ = '<NAME>, <EMAIL>'
from scipy import power, exp, cos, sqrt, rand, sin, floor, dot, ones, sign, randn, prod
from scipy.linalg import orth
from math import pi
from random import shuffle
fr... | pybrain/rl/environments/functions/multimodal.py | from __future__ import print_function
""" The functions implemented here are standard benchmarks from literature. """
__author__ = '<NAME>, <EMAIL>'
from scipy import power, exp, cos, sqrt, rand, sin, floor, dot, ones, sign, randn, prod
from scipy.linalg import orth
from math import pi
from random import shuffle
fr... | 0.713731 | 0.410549 |
import discord
import logging
import aiohttp
import asyncio
from typing import List
from .https import HttpClient
from .enums import WebsiteType
from .models import *
from .errors import ClientException, TooManyRequests
log = logging.getLogger(__name__)
class Client:
""" discord.py 에 있는 `discord.Client`를 기반으로 ... | DBSkr/client.py | import discord
import logging
import aiohttp
import asyncio
from typing import List
from .https import HttpClient
from .enums import WebsiteType
from .models import *
from .errors import ClientException, TooManyRequests
log = logging.getLogger(__name__)
class Client:
""" discord.py 에 있는 `discord.Client`를 기반으로 ... | 0.797439 | 0.493653 |
import asyncio
import json
import unittest
from typing import List, Any
from pxapi import data, vpb
import test_utils as utils
class TestData(unittest.TestCase):
def setUp(self) -> None:
self.relation = vpb.Relation(columns=[
utils.string_col("resp_body"),
utils.int64_col("resp_... | src/api/python/tests/data_test.py |
import asyncio
import json
import unittest
from typing import List, Any
from pxapi import data, vpb
import test_utils as utils
class TestData(unittest.TestCase):
def setUp(self) -> None:
self.relation = vpb.Relation(columns=[
utils.string_col("resp_body"),
utils.int64_col("resp_... | 0.789721 | 0.548492 |
import unittest
import numpy as np
import torch
from parameterized import parameterized
from monai.networks.nets import DenseNet, DenseNet121, SEResNet50
from monai.visualize import GradCAM
# 2D
TEST_CASE_0 = [
{
"model": "densenet2d",
"shape": (2, 1, 48, 64),
"feature_shape": (2, 1, 1, ... | tests/test_vis_gradcam.py |
import unittest
import numpy as np
import torch
from parameterized import parameterized
from monai.networks.nets import DenseNet, DenseNet121, SEResNet50
from monai.visualize import GradCAM
# 2D
TEST_CASE_0 = [
{
"model": "densenet2d",
"shape": (2, 1, 48, 64),
"feature_shape": (2, 1, 1, ... | 0.68721 | 0.62498 |
# Python standard library includes
import os
import re
import sys
import time
# Includes that have to be installed
import psutil
from textgenrnn import textgenrnn
def main():
# Control parameters
## Where we look for files (all relative to the directory this script is in)
inputdir = "data"
outputdir = "output"
re... | gen.py |
# Python standard library includes
import os
import re
import sys
import time
# Includes that have to be installed
import psutil
from textgenrnn import textgenrnn
def main():
# Control parameters
## Where we look for files (all relative to the directory this script is in)
inputdir = "data"
outputdir = "output"
re... | 0.303732 | 0.315815 |
from __future__ import annotations
from pathlib import Path
from random import shuffle
from typing import (
Tuple,
Iterator,
Any,
Optional,
List,
Iterable,
Callable,
Union,
)
from .utility import safe_int, Exam2pdfException, set_i18n
CasterType = Callable[[Any], Any]
LETTER_A = "A"
S... | exam2pdf/question.py | from __future__ import annotations
from pathlib import Path
from random import shuffle
from typing import (
Tuple,
Iterator,
Any,
Optional,
List,
Iterable,
Callable,
Union,
)
from .utility import safe_int, Exam2pdfException, set_i18n
CasterType = Callable[[Any], Any]
LETTER_A = "A"
S... | 0.908751 | 0.255135 |
from dataloader import get_loaders
from dataset import TestDataset
from pathlib import Path
import random
import tqdm
from itertools import islice
from torch.nn import CrossEntropyLoss
from torch.optim import Adam, SGD
import numpy as np
import torch
from datetime import datetime
import shutil
import json
from transfor... | cortwave/src/model.py | from dataloader import get_loaders
from dataset import TestDataset
from pathlib import Path
import random
import tqdm
from itertools import islice
from torch.nn import CrossEntropyLoss
from torch.optim import Adam, SGD
import numpy as np
import torch
from datetime import datetime
import shutil
import json
from transfor... | 0.782039 | 0.214383 |
import pytest
import parse_vcf as pv
####################
### get_file() ###
####################
def test_get_file():
# There is a list of files to parse in the main script
# test to make sure a file is opened and returns a list
# Doesn't test any error handling, there isn't any
asse... | utilities/test_parse_vcf.py | import pytest
import parse_vcf as pv
####################
### get_file() ###
####################
def test_get_file():
# There is a list of files to parse in the main script
# test to make sure a file is opened and returns a list
# Doesn't test any error handling, there isn't any
asse... | 0.377082 | 0.421135 |
import argparse
import os.path
import sys
import xmlrpc.client
from netaddr import IPNetwork
from time import time, sleep
from lib.config import Config
from lib.inventory import Inventory
import lib.genesis as gen
import lib.utilities as util
from set_power_clients import set_power_clients
from lib.exception import U... | scripts/python/inv_reserve_ipmi_pxe_ips.py |
import argparse
import os.path
import sys
import xmlrpc.client
from netaddr import IPNetwork
from time import time, sleep
from lib.config import Config
from lib.inventory import Inventory
import lib.genesis as gen
import lib.utilities as util
from set_power_clients import set_power_clients
from lib.exception import U... | 0.476336 | 0.077413 |
import torch
from torch.autograd import Variable
from fairseq import data, dictionary, utils
from fairseq.models import (
FairseqEncoder,
FairseqIncrementalDecoder,
FairseqModel,
)
def dummy_dictionary(vocab_size, prefix='token_'):
d = dictionary.Dictionary()
for i in range(vocab_size):
... | tests/utils.py |
import torch
from torch.autograd import Variable
from fairseq import data, dictionary, utils
from fairseq.models import (
FairseqEncoder,
FairseqIncrementalDecoder,
FairseqModel,
)
def dummy_dictionary(vocab_size, prefix='token_'):
d = dictionary.Dictionary()
for i in range(vocab_size):
... | 0.769514 | 0.406391 |
import _plotly_utils.basevalidators
class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="specular", parent_name="surface.lighting", **kwargs
):
super(SpecularValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | packages/python/plotly/plotly/validators/surface/lighting/__init__.py | import _plotly_utils.basevalidators
class SpecularValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="specular", parent_name="surface.lighting", **kwargs
):
super(SpecularValidator, self).__init__(
plotly_name=plotly_name,
parent_na... | 0.745306 | 0.203114 |
# Runs 'gn help' and various subhelps, and spits out html.
# TODO:
# - Handle numbered and dashed lists -> <ol> <ul>. (See "os" and "toolchain").
# - Handle "Arguments:" blocks a bit better (the argument names could be
# distinguished).
# - Convert "|blahblah|" to <code>.
# - Spit out other similar formats like wiki... | misc/help_as_html.py |
# Runs 'gn help' and various subhelps, and spits out html.
# TODO:
# - Handle numbered and dashed lists -> <ol> <ul>. (See "os" and "toolchain").
# - Handle "Arguments:" blocks a bit better (the argument names could be
# distinguished).
# - Convert "|blahblah|" to <code>.
# - Spit out other similar formats like wiki... | 0.132683 | 0.139455 |
import logging
import os
from packaging import version
from src.testproject.enums import EnvironmentVariable
from src.testproject.enums.report_type import ReportType
from src.testproject.helpers import (
ReportHelper,
LoggingHelper,
ConfigHelper,
AddonHelper,
)
from src.testproject.rest import Report... | venv/lib/python3.8/site-packages/src/testproject/sdk/drivers/webdriver/generic.py |
import logging
import os
from packaging import version
from src.testproject.enums import EnvironmentVariable
from src.testproject.enums.report_type import ReportType
from src.testproject.helpers import (
ReportHelper,
LoggingHelper,
ConfigHelper,
AddonHelper,
)
from src.testproject.rest import Report... | 0.679285 | 0.125547 |
import json
import os
import tempfile
from galaxy.security.vault import UserVaultWrapper
from galaxy_test.base import api_asserts
from galaxy_test.base.populators import DatasetPopulator
from galaxy_test.driver import integration_util
SCRIPT_DIRECTORY = os.path.abspath(os.path.dirname(__file__))
FILE_SOURCES_VAULT_C... | test/integration/test_vault_file_source.py | import json
import os
import tempfile
from galaxy.security.vault import UserVaultWrapper
from galaxy_test.base import api_asserts
from galaxy_test.base.populators import DatasetPopulator
from galaxy_test.driver import integration_util
SCRIPT_DIRECTORY = os.path.abspath(os.path.dirname(__file__))
FILE_SOURCES_VAULT_C... | 0.511717 | 0.212794 |
# Third-party modules
from django.db import models
# NOC modules
from noc.core.migration.base import BaseMigration
class Migration(BaseMigration):
def migrate(self):
# Model 'DNSZoneProfile'
self.db.create_table(
"dns_dnszoneprofile",
(
("id", models.AutoF... | dns/migrations/0001_initial.py |
# Third-party modules
from django.db import models
# NOC modules
from noc.core.migration.base import BaseMigration
class Migration(BaseMigration):
def migrate(self):
# Model 'DNSZoneProfile'
self.db.create_table(
"dns_dnszoneprofile",
(
("id", models.AutoF... | 0.606732 | 0.225001 |
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from error import Position
KEYWORDS = ("let", "if", "while", "for", "else", "func", "return", "int8", "uint8", "int16", "uint16", "int32", "uint32", "float32", "float64", "char", "nul... | utils/token.py | from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from error import Position
KEYWORDS = ("let", "if", "while", "for", "else", "func", "return", "int8", "uint8", "int16", "uint16", "int32", "uint32", "float32", "float64", "char", "nul... | 0.744749 | 0.092278 |
from .unittest_tools import unittest
from quantlib.time.calendar import (
Following, ModifiedFollowing, ModifiedPreceding, Preceding,
holiday_list
)
from quantlib.time.calendars.target import TARGET
from quantlib.time.calendars.united_kingdom import UnitedKingdom, EXCHANGE
from quantlib.time.calendars.united_s... | quantlib/test/test_calendar.py | from .unittest_tools import unittest
from quantlib.time.calendar import (
Following, ModifiedFollowing, ModifiedPreceding, Preceding,
holiday_list
)
from quantlib.time.calendars.target import TARGET
from quantlib.time.calendars.united_kingdom import UnitedKingdom, EXCHANGE
from quantlib.time.calendars.united_s... | 0.609989 | 0.672829 |
from typing import Union
from typing import Callable
from typing import Any
from types import ModuleType
class TorchAttributes(object):
"""Adds torch module related custom attributes.
TorchAttributes is a special class where all custom attributes related
to the torch module can be added. Any global param... | syft/frameworks/torch/torch_attributes.py | from typing import Union
from typing import Callable
from typing import Any
from types import ModuleType
class TorchAttributes(object):
"""Adds torch module related custom attributes.
TorchAttributes is a special class where all custom attributes related
to the torch module can be added. Any global param... | 0.954584 | 0.538073 |
from GNATS_Python_Header_client import *
import datetime
planned_dirname = ""
output_filename = ""
simulationInterface.clear_trajectory()
environmentInterface.load_rap(DIR_share + "/tg/rap")
aircraftInterface.load_aircraft(DIR_share + "/tg/trx/TRX_DEMO_WSSS_RJAA_geo.trx", DIR_share + "/tg/trx/TRX_DEMO_WSSS_RJAA_mf... | GNATS_Client/sample/DEMO_Aircraft_Functions_beta1.9.py |
from GNATS_Python_Header_client import *
import datetime
planned_dirname = ""
output_filename = ""
simulationInterface.clear_trajectory()
environmentInterface.load_rap(DIR_share + "/tg/rap")
aircraftInterface.load_aircraft(DIR_share + "/tg/trx/TRX_DEMO_WSSS_RJAA_geo.trx", DIR_share + "/tg/trx/TRX_DEMO_WSSS_RJAA_mf... | 0.213377 | 0.221709 |
import numpy as np
import matplotlib.pyplot as plt
import time
import joblib
from datetime import timedelta
from sklearn import metrics
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
""" I have imported the necessary libraries to test the model I created and trained in... | App/Model_Test.py | import numpy as np
import matplotlib.pyplot as plt
import time
import joblib
from datetime import timedelta
from sklearn import metrics
from sklearn.datasets import fetch_openml
from sklearn.model_selection import train_test_split
""" I have imported the necessary libraries to test the model I created and trained in... | 0.777807 | 0.756807 |
import typing as tp
from pypeln import utils as pypeln_utils
from pypeln.utils import A, B, T
from ..stage import Stage
from ..worker import ProcessFn, Worker
from copy import copy
class FromIterable(tp.NamedTuple):
iterable: tp.Iterable
def __call__(self, worker: Worker, **kwargs):
iterable = sel... | pypeln/process/api/from_iterable.py | import typing as tp
from pypeln import utils as pypeln_utils
from pypeln.utils import A, B, T
from ..stage import Stage
from ..worker import ProcessFn, Worker
from copy import copy
class FromIterable(tp.NamedTuple):
iterable: tp.Iterable
def __call__(self, worker: Worker, **kwargs):
iterable = sel... | 0.615319 | 0.365627 |
import colorsys
import os
import time
import numpy as np
import tensorflow as tf
from PIL import ImageDraw, ImageFont
from tensorflow.keras.layers import Input, Lambda
from tensorflow.keras.models import Model
from nets.yolo import yolo_body
from utils.utils import cvtColor, get_classes, preprocess_input, ... | yolo.py | import colorsys
import os
import time
import numpy as np
import tensorflow as tf
from PIL import ImageDraw, ImageFont
from tensorflow.keras.layers import Input, Lambda
from tensorflow.keras.models import Model
from nets.yolo import yolo_body
from utils.utils import cvtColor, get_classes, preprocess_input, ... | 0.326808 | 0.151686 |
import flask as f
import sqlalchemy as s
from sqlalchemy.orm import relationship
from ..entities._entity import Base, EntityMixin, EntitySerializer, NotNull, Nullable
from ..entities.commit import Commit, CommitSerializer
from ..entities.machine import MachineSerializer
class Run(Base, EntityMixin):
__tablename_... | conbench/entities/run.py | import flask as f
import sqlalchemy as s
from sqlalchemy.orm import relationship
from ..entities._entity import Base, EntityMixin, EntitySerializer, NotNull, Nullable
from ..entities.commit import Commit, CommitSerializer
from ..entities.machine import MachineSerializer
class Run(Base, EntityMixin):
__tablename_... | 0.206494 | 0.192615 |
import time
import pytest
from common.url import api_url
@pytest.mark.parametrize('queue_field', ['createdBy', 'createdAt', 'status',
'statusText', 'executionChunkPercent',
'executionIssuePercent'])
def test_bulkchange_fields(net_mock... | tests/smoke/test_bulkchange.py | import time
import pytest
from common.url import api_url
@pytest.mark.parametrize('queue_field', ['createdBy', 'createdAt', 'status',
'statusText', 'executionChunkPercent',
'executionIssuePercent'])
def test_bulkchange_fields(net_mock... | 0.503418 | 0.458046 |
"""LearningRateScheduler Callback class."""
import math
import numpy as np
from mindspore import log as logger
import mindspore.common.dtype as mstype
from mindspore.common.tensor import Tensor
from mindspore.train.callback._callback import Callback
from mindspore.ops import functional as F
class LearningRateSchedu... | mindspore/python/mindspore/train/callback/_lr_scheduler_callback.py | """LearningRateScheduler Callback class."""
import math
import numpy as np
from mindspore import log as logger
import mindspore.common.dtype as mstype
from mindspore.common.tensor import Tensor
from mindspore.train.callback._callback import Callback
from mindspore.ops import functional as F
class LearningRateSchedu... | 0.925289 | 0.558387 |
from typing import Tuple, Union
import torch
from torch.nn.utils import clip_grad_norm_
from rl_algorithms.common.abstract.learner import TensorTuple
import rl_algorithms.common.helper_functions as common_utils
from rl_algorithms.ddpg.learner import DDPGLearner
from rl_algorithms.registry import LEARNERS
@LEARNERS.... | rl_algorithms/fd/ddpg_learner.py | from typing import Tuple, Union
import torch
from torch.nn.utils import clip_grad_norm_
from rl_algorithms.common.abstract.learner import TensorTuple
import rl_algorithms.common.helper_functions as common_utils
from rl_algorithms.ddpg.learner import DDPGLearner
from rl_algorithms.registry import LEARNERS
@LEARNERS.... | 0.952728 | 0.464902 |
import time
from os import system, name
class csv_to_xml:
dictionary={} #dictCreator functions update this dictionary
platform=-1 #platform==False is Android, platform==true IOS
platform_list=["IOS","Android"]
selected_platform="Android"
languages=["tr"]
def __init__(self,platform=""):
... | strings_converter/csv_to_strings.py | import time
from os import system, name
class csv_to_xml:
dictionary={} #dictCreator functions update this dictionary
platform=-1 #platform==False is Android, platform==true IOS
platform_list=["IOS","Android"]
selected_platform="Android"
languages=["tr"]
def __init__(self,platform=""):
... | 0.036502 | 0.094845 |
from heapq import heappop, heappush
class Solution(object):
def medianSlidingWindow(self, nums, k):
lh,rh,rv = [],[],[]
# create the initial left and right heap
for i,n in enumerate(nums[:k]): heappush(lh, (-n,i))
for i in range(k-k/2):
heappush(rh, (-lh[0][0], lh[0][1])... | leetcode/python/Q0480_Sliding_Window_Median.py | from heapq import heappop, heappush
class Solution(object):
def medianSlidingWindow(self, nums, k):
lh,rh,rv = [],[],[]
# create the initial left and right heap
for i,n in enumerate(nums[:k]): heappush(lh, (-n,i))
for i in range(k-k/2):
heappush(rh, (-lh[0][0], lh[0][1])... | 0.316686 | 0.191158 |
import os
import sys
import logging
import argparse
import gensim
from gensim import utils
logger = logging.getLogger(__name__)
def word2vec2tensor(word2vec_model_path, tensor_filename, binary=False):
"""Convert file in Word2Vec format and writes two files 2D tensor TSV file.
File "tensor_filename"_tensor.... | python/envs/hackathon/lib/python3.7/site-packages/gensim/scripts/word2vec2tensor.py | import os
import sys
import logging
import argparse
import gensim
from gensim import utils
logger = logging.getLogger(__name__)
def word2vec2tensor(word2vec_model_path, tensor_filename, binary=False):
"""Convert file in Word2Vec format and writes two files 2D tensor TSV file.
File "tensor_filename"_tensor.... | 0.395251 | 0.205535 |
import abc
import dataclasses
import numpy as np
import pytest
import torch
from falkon.kernels import *
from falkon.options import FalkonOptions
from falkon.tests.conftest import memory_checker
from falkon.tests.naive_kernels import *
from falkon.tests.gen_random import gen_random
from falkon.utils import decide_cud... | falkon/tests/test_kernels.py | import abc
import dataclasses
import numpy as np
import pytest
import torch
from falkon.kernels import *
from falkon.options import FalkonOptions
from falkon.tests.conftest import memory_checker
from falkon.tests.naive_kernels import *
from falkon.tests.gen_random import gen_random
from falkon.utils import decide_cud... | 0.7324 | 0.473779 |
import datetime
import json
import functools
from Queue import Queue
import six
from twisted.application.service import Service
from twisted.internet import defer
from bouser.excs import SerializableBaseException, ExceptionWrapper
from twisted.web.http import Request
from bouser.web.cors import OptionsFinish
__author... | bouser/utils.py | import datetime
import json
import functools
from Queue import Queue
import six
from twisted.application.service import Service
from twisted.internet import defer
from bouser.excs import SerializableBaseException, ExceptionWrapper
from twisted.web.http import Request
from bouser.web.cors import OptionsFinish
__author... | 0.392686 | 0.072505 |
from full_space_mip import create_multiperiod_mip
from pyomo.environ import *
def prune_partitions(mip, UB, data, active_part, n_part, b_part, pruned_fac, dist_supp, max_dist_supp, dist_mkt,
max_dist_mkt, dist_min):
prune_part = {}
for p in mip.part:
print(p)
print(p, acti... | part_pruning.py | from full_space_mip import create_multiperiod_mip
from pyomo.environ import *
def prune_partitions(mip, UB, data, active_part, n_part, b_part, pruned_fac, dist_supp, max_dist_supp, dist_mkt,
max_dist_mkt, dist_min):
prune_part = {}
for p in mip.part:
print(p)
print(p, acti... | 0.282097 | 0.333422 |
import common
import dnnc as dc
import numpy as np
import unittest
def temp_gemm(np_a, np_b, np_c, alpha, beta, transA, transB):
np_a = np_a.T if (transA==1) else np_a
np_b = np_b.T if (transB==1) else np_b
y = (alpha * np.dot(np_a, np_b)) + (beta * np_c)
return y
class GemmTest(unittest.TestCase):
... | test/swig/Gemm.py |
import common
import dnnc as dc
import numpy as np
import unittest
def temp_gemm(np_a, np_b, np_c, alpha, beta, transA, transB):
np_a = np_a.T if (transA==1) else np_a
np_b = np_b.T if (transB==1) else np_b
y = (alpha * np.dot(np_a, np_b)) + (beta * np_c)
return y
class GemmTest(unittest.TestCase):
... | 0.467332 | 0.543348 |
from pathlib import Path
from tqdm import tqdm
import numpy as np
import pandas as pd
import torch
import sys
def make_lc_tensor(df_np, max_lc_length):
lc_numpy = np.zeros(shape=(6, 4, max_lc_length))
for band in range(6):
#lc_data = df_lc[["mjd", "flux", "flux_err"]][df_lc.passband==band].values.astyp... | src/plasticc_create_lightcurves.py | from pathlib import Path
from tqdm import tqdm
import numpy as np
import pandas as pd
import torch
import sys
def make_lc_tensor(df_np, max_lc_length):
lc_numpy = np.zeros(shape=(6, 4, max_lc_length))
for band in range(6):
#lc_data = df_lc[["mjd", "flux", "flux_err"]][df_lc.passband==band].values.astyp... | 0.394901 | 0.214342 |
import argparse
from genie.testbed import load
def generate_shut_config(device, exclude):
# Device -> device object
# exclude -> [int1, int2]
# Get the list of interfaces up
interface_to_shut = interfaces_up(device)
# For each of them, generate the configuration to shut them down, and unshut them... | ShutAllInterface/shutinterfaces.py | import argparse
from genie.testbed import load
def generate_shut_config(device, exclude):
# Device -> device object
# exclude -> [int1, int2]
# Get the list of interfaces up
interface_to_shut = interfaces_up(device)
# For each of them, generate the configuration to shut them down, and unshut them... | 0.475118 | 0.228178 |
import itertools, pickle, os, time
import numpy as np
import pandas as pd
import jrboost
#-----------------------------------------------------------------------------------------------------------------------
validationParam = {
'threadCount': os.cpu_count() // 2,
'parallelTree': False,
'fold... | Python/example/iris.py |
import itertools, pickle, os, time
import numpy as np
import pandas as pd
import jrboost
#-----------------------------------------------------------------------------------------------------------------------
validationParam = {
'threadCount': os.cpu_count() // 2,
'parallelTree': False,
'fold... | 0.252292 | 0.296845 |
import re
from .base.base import BasePhoneticsAlgorithm
from .config import RU_PHONEMES, FI_VOWELS, RU_VOWELS, EE_VOWELS, \
RU_REMOVE_MAP, RU_REPLACEMENT_J_MAP, RU_REPLACEMENT_VOWEL_MAP, RU_DEAF_CONSONANTS, \
EE_FI_DEAF_CONSONANTS, SE_VOWELS, SE_DEAF_CONSONANTS, SE_PHONEMES
class Metaphone(BasePhoneticsAlgor... | fonetika/metaphone.py | import re
from .base.base import BasePhoneticsAlgorithm
from .config import RU_PHONEMES, FI_VOWELS, RU_VOWELS, EE_VOWELS, \
RU_REMOVE_MAP, RU_REPLACEMENT_J_MAP, RU_REPLACEMENT_VOWEL_MAP, RU_DEAF_CONSONANTS, \
EE_FI_DEAF_CONSONANTS, SE_VOWELS, SE_DEAF_CONSONANTS, SE_PHONEMES
class Metaphone(BasePhoneticsAlgor... | 0.503662 | 0.116563 |
import numpy as np
import torch
import torch.nn as nn
import os
from os.path import join as opj
from tqdm import tqdm
from tensorboardX import SummaryWriter
from utils import *
from utils.eval import evaluation
from time import time
class Trainer(object):
def __init__(self, cfg, running):
super().__init__... | utils/trainer.py | import numpy as np
import torch
import torch.nn as nn
import os
from os.path import join as opj
from tqdm import tqdm
from tensorboardX import SummaryWriter
from utils import *
from utils.eval import evaluation
from time import time
class Trainer(object):
def __init__(self, cfg, running):
super().__init__... | 0.753285 | 0.13288 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tarfile
import zipfile
import argparse
import sys
import re
from pathlib import Path
from tensorflow.keras import utils as kutils
from VSR.Tools.GoogleDriveDownloader import drive_download
# For now VS... | prepare_data.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tarfile
import zipfile
import argparse
import sys
import re
from pathlib import Path
from tensorflow.keras import utils as kutils
from VSR.Tools.GoogleDriveDownloader import drive_download
# For now VS... | 0.287768 | 0.141311 |
class Create():
def __init__(self, conn, cursor):
self.conn = conn
self.cursor = cursor
self.createText = """CREATE TABLE IF NOT EXISTS Account (
Acc_ID integer PRIMARY KEY,
Type integer NOT NULL,
Name text NOT NULL,
Total real NOT NULL,
... | FinHelper/database/account_table.py | class Create():
def __init__(self, conn, cursor):
self.conn = conn
self.cursor = cursor
self.createText = """CREATE TABLE IF NOT EXISTS Account (
Acc_ID integer PRIMARY KEY,
Type integer NOT NULL,
Name text NOT NULL,
Total real NOT NULL,
... | 0.422266 | 0.199971 |
import functools
import io
import inspect
import json
import gzip
from base64 import b64decode
from http.cookies import SimpleCookie
import chardet
import rfc3986
import graphene
import yaml
from requests.structures import CaseInsensitiveDict
from requests.cookies import RequestsCookieJar
from starlette.datastructure... | responder/models.py | import functools
import io
import inspect
import json
import gzip
from base64 import b64decode
from http.cookies import SimpleCookie
import chardet
import rfc3986
import graphene
import yaml
from requests.structures import CaseInsensitiveDict
from requests.cookies import RequestsCookieJar
from starlette.datastructure... | 0.748812 | 0.142291 |
import os
import random
import numpy as np
import pytest
import torch
from ase.io import read
from torch_geometric.data import Data
from ocpmodels.common.transforms import RandomRotate
from ocpmodels.datasets import data_list_collater
from dimenet_plus_plus import DimeNetPlusPlusWrap as DimeNetPlusPlus
from ocpmodels... | viz_tools/test_dimenetpp.py | import os
import random
import numpy as np
import pytest
import torch
from ase.io import read
from torch_geometric.data import Data
from ocpmodels.common.transforms import RandomRotate
from ocpmodels.datasets import data_list_collater
from dimenet_plus_plus import DimeNetPlusPlusWrap as DimeNetPlusPlus
from ocpmodels... | 0.667364 | 0.47993 |
# ## Linear Regression using Gradient Descent
#
# In this notebook, I've built a simple linear regression model using gradient descent to fit a line ($y = mx + c$) through input data consisting of ($x, y$) values. The purpose is to better understand gradient descent by calculating the gradients by hand and implementi... | linear-regression-gradient-descent/gradient_descent.py |
# ## Linear Regression using Gradient Descent
#
# In this notebook, I've built a simple linear regression model using gradient descent to fit a line ($y = mx + c$) through input data consisting of ($x, y$) values. The purpose is to better understand gradient descent by calculating the gradients by hand and implementi... | 0.867598 | 0.921887 |
"""Gtk.TreeView() filter."""
import gi
gi.require_version(namespace='Gtk', version='3.0')
from gi.repository import Gtk, Gio, Pango, GObject
class MainWindow(Gtk.ApplicationWindow):
software_list = [
('Firefox', 2002, 'C++'), ('Eclipse', 2004, 'Java'), ('Pitivi', 2004, 'Python'),
('Netbeans', 1... | src/gtk3/treeview-liststore-filter/MainWindow.py | """Gtk.TreeView() filter."""
import gi
gi.require_version(namespace='Gtk', version='3.0')
from gi.repository import Gtk, Gio, Pango, GObject
class MainWindow(Gtk.ApplicationWindow):
software_list = [
('Firefox', 2002, 'C++'), ('Eclipse', 2004, 'Java'), ('Pitivi', 2004, 'Python'),
('Netbeans', 1... | 0.790085 | 0.196113 |
from __future__ import unicode_literals
from .. import Provider as BaseProvider
class Provider(BaseProvider):
jobs = [
"Agent celny",
"Agent firmy inwestycyjnej",
"Agent literacki",
"Agent ubezpieczeniowy",
"Agronom",
"Aktor",
"Aktor dziecięcy",
"Akt... | env/lib/python3.8/site-packages/faker/providers/job/pl_PL/__init__.py | from __future__ import unicode_literals
from .. import Provider as BaseProvider
class Provider(BaseProvider):
jobs = [
"Agent celny",
"Agent firmy inwestycyjnej",
"Agent literacki",
"Agent ubezpieczeniowy",
"Agronom",
"Aktor",
"Aktor dziecięcy",
"Akt... | 0.280814 | 0.273292 |
config = {
"DEFAULT_NOTE_EDITOR": "vim",
"FIGURES_DIRECTORY_NAME": "graphics",
"DEFAULT_LATEXMKRC_TEMPLATE": """ensure_path( 'TEXINPUTS', '../../styles//' );""",
"DEFAULT_LATEX_SUBFILE_SOURCE_CODE": r"""\documentclass[class=memoir, crop=false, oneside, 14pt]{standalone}
\usepackage{docs-config}
% docum... | config.py | config = {
"DEFAULT_NOTE_EDITOR": "vim",
"FIGURES_DIRECTORY_NAME": "graphics",
"DEFAULT_LATEXMKRC_TEMPLATE": """ensure_path( 'TEXINPUTS', '../../styles//' );""",
"DEFAULT_LATEX_SUBFILE_SOURCE_CODE": r"""\documentclass[class=memoir, crop=false, oneside, 14pt]{standalone}
\usepackage{docs-config}
% docum... | 0.356223 | 0.127979 |
import boto3
import datetime as dt
from time import ctime, sleep
import threading
default_profile = 'AwsProfile'
default_region = 'ap-south-1'
default_cluster_names_list = [
# 'default-cluster'
]
logfile_location = '/tmp/LoggingFile.log'
default_instances_ids_list = [
#'i-03984cc6'
]
default_rds_db_instanc... | AWSStartStop.py | import boto3
import datetime as dt
from time import ctime, sleep
import threading
default_profile = 'AwsProfile'
default_region = 'ap-south-1'
default_cluster_names_list = [
# 'default-cluster'
]
logfile_location = '/tmp/LoggingFile.log'
default_instances_ids_list = [
#'i-03984cc6'
]
default_rds_db_instanc... | 0.236164 | 0.096791 |
from pygments.lexer import RegexLexer, words
from pygments.token import Text, Comment, Operator, Keyword, Name, String, \
Number, Punctuation
__all__ = ['NitLexer']
class NitLexer(RegexLexer):
"""
For `nit <http://nitlanguage.org>`_ source.
.. versionadded:: 2.0
"""
name = 'Nit'
aliases... | OmniMarkupLib/Renderers/libs/pygments/lexers/nit.py | from pygments.lexer import RegexLexer, words
from pygments.token import Text, Comment, Operator, Keyword, Name, String, \
Number, Punctuation
__all__ = ['NitLexer']
class NitLexer(RegexLexer):
"""
For `nit <http://nitlanguage.org>`_ source.
.. versionadded:: 2.0
"""
name = 'Nit'
aliases... | 0.500488 | 0.291249 |
import os, re, sys, time, shutil, random, argparse, collections
import numpy as np
from copy import deepcopy
import torch
from tqdm import tqdm
from pathlib import Path
from collections import defaultdict, OrderedDict
from typing import Dict, Any, Text, List
from xautodl.log_utils import AverageMeter, time_string, con... | exps/NATS-Bench/tss-collect-patcher.py | import os, re, sys, time, shutil, random, argparse, collections
import numpy as np
from copy import deepcopy
import torch
from tqdm import tqdm
from pathlib import Path
from collections import defaultdict, OrderedDict
from typing import Dict, Any, Text, List
from xautodl.log_utils import AverageMeter, time_string, con... | 0.431105 | 0.211661 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
def get_coordinate_map():
focal_length = 517.97
offset_x = 320
offset_y = 240
K = [[focal_length, 0, offset_x],
[0, focal_length, offset_y],
[0, 0, 1]]
K_inv = np.linalg.inv(np.array(K))
K... | instance_parameter_loss.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
def get_coordinate_map():
focal_length = 517.97
offset_x = 320
offset_y = 240
K = [[focal_length, 0, offset_x],
[0, focal_length, offset_y],
[0, 0, 1]]
K_inv = np.linalg.inv(np.array(K))
K... | 0.911455 | 0.701432 |
import sys
import pytest
from determined.experimental import Determined
from tests import config as conf
from tests import experiment as exp
@pytest.mark.e2e_gpu # type: ignore
@pytest.mark.parametrize("aggregation_frequency", [1, 4]) # type: ignore
def test_pytorch_11_const(aggregation_frequency: int, using_k8s:... | e2e_tests/tests/experiment/test_pytorch.py | import sys
import pytest
from determined.experimental import Determined
from tests import config as conf
from tests import experiment as exp
@pytest.mark.e2e_gpu # type: ignore
@pytest.mark.parametrize("aggregation_frequency", [1, 4]) # type: ignore
def test_pytorch_11_const(aggregation_frequency: int, using_k8s:... | 0.40157 | 0.665003 |
from tensor import Tensor
class Node():
def __init__(self,
node_name,
start_time=0,
end_time=0):
self.node_name = node_name
# Can be delayed due to other operation. such as swap in
self.logic_time = 0
# Init by the run_metadata
self.start_time = star... | node.py | from tensor import Tensor
class Node():
def __init__(self,
node_name,
start_time=0,
end_time=0):
self.node_name = node_name
# Can be delayed due to other operation. such as swap in
self.logic_time = 0
# Init by the run_metadata
self.start_time = star... | 0.276105 | 0.249393 |
import pywren_ibm_cloud as pywren
def my_map_function(x, y):
return x + y
def sum_list(list_of_numbers):
total = 0
for num in list_of_numbers:
total = total+num
return total
def sum_list_mult(list_of_numbers, x):
total = 0
for num in list_of_numbers:
total = total+num
r... | examples/multiple_parameters_map.py | import pywren_ibm_cloud as pywren
def my_map_function(x, y):
return x + y
def sum_list(list_of_numbers):
total = 0
for num in list_of_numbers:
total = total+num
return total
def sum_list_mult(list_of_numbers, x):
total = 0
for num in list_of_numbers:
total = total+num
r... | 0.422743 | 0.539469 |
import logging
from ctypes import c_int
import pytest
from pyocf.types.cache import Cache, CacheMode
from pyocf.types.core import Core
from pyocf.types.data import Data
from pyocf.types.io import IoDir
from pyocf.types.shared import OcfCompletion, CacheLineSize, SeqCutOffPolicy
from pyocf.types.volume import Volume
... | tests/functional/tests/eviction/test_eviction.py |
import logging
from ctypes import c_int
import pytest
from pyocf.types.cache import Cache, CacheMode
from pyocf.types.core import Core
from pyocf.types.data import Data
from pyocf.types.io import IoDir
from pyocf.types.shared import OcfCompletion, CacheLineSize, SeqCutOffPolicy
from pyocf.types.volume import Volume
... | 0.59972 | 0.442215 |
import torch
import numpy as np
import rasterio
import salem
from oggm import entity_task, cfg
from combine2d.core.sia2d_adapted import Upstream2D
import logging
# -------------------------------
# Further initialization / extended import tasks
# Module logger
log = logging.getLogger(__name__)
# @entity_task(log, wri... | combine2d/core/dynamics.py | import torch
import numpy as np
import rasterio
import salem
from oggm import entity_task, cfg
from combine2d.core.sia2d_adapted import Upstream2D
import logging
# -------------------------------
# Further initialization / extended import tasks
# Module logger
log = logging.getLogger(__name__)
# @entity_task(log, wri... | 0.806929 | 0.396273 |
import os.path
from collections import OrderedDict
from contextlib import contextmanager
from typing import Dict, List, Tuple
import subprocess
import time
import numpy as np
import logging
logger = logging.getLogger(__name__)
from torch import Tensor
from torch.cuda.amp import GradScaler, autocast
from torch.multipro... | paragen/utils/tensor.py | import os.path
from collections import OrderedDict
from contextlib import contextmanager
from typing import Dict, List, Tuple
import subprocess
import time
import numpy as np
import logging
logger = logging.getLogger(__name__)
from torch import Tensor
from torch.cuda.amp import GradScaler, autocast
from torch.multipro... | 0.870982 | 0.404684 |
import random
import time
from collections import defaultdict
import arrow
import yaml
from clusterman_metrics import ClustermanMetricsBotoClient
from clusterman.args import subparser
from clusterman.simulator.io import write_object_to_compressed_json
from clusterman.util import parse_time_interval_seconds
from clust... | clusterman/cli/generate_data.py | import random
import time
from collections import defaultdict
import arrow
import yaml
from clusterman_metrics import ClustermanMetricsBotoClient
from clusterman.args import subparser
from clusterman.simulator.io import write_object_to_compressed_json
from clusterman.util import parse_time_interval_seconds
from clust... | 0.741393 | 0.52409 |
import unittest
from utils import find_all_tags, partition_and_replace
class TestPartionAndReplace(unittest.TestCase):
"""
Test cases for `partion_and_replace` function.
"""
def test_standard_string(self):
test_string = '''
<html>
<head>
</head>
<body>
... | tests/test_utils.py | import unittest
from utils import find_all_tags, partition_and_replace
class TestPartionAndReplace(unittest.TestCase):
"""
Test cases for `partion_and_replace` function.
"""
def test_standard_string(self):
test_string = '''
<html>
<head>
</head>
<body>
... | 0.549882 | 0.453806 |
import logging
from collections import defaultdict
from os.path import join, dirname, splitext, basename
from typing import Optional, List, Tuple
import pandas as pd
import hailtop.batch as hb
from hailtop.batch.job import Job
from joint_calling import sm_utils, resources
from joint_calling import utils
logger = logg... | joint_calling/jobs/pre_combiner.py | import logging
from collections import defaultdict
from os.path import join, dirname, splitext, basename
from typing import Optional, List, Tuple
import pandas as pd
import hailtop.batch as hb
from hailtop.batch.job import Job
from joint_calling import sm_utils, resources
from joint_calling import utils
logger = logg... | 0.751283 | 0.155655 |
__copyright__ = '''
Copyright 2017 the original author or authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | springcloudstream/stdio/stream.py | __copyright__ = '''
Copyright 2017 the original author or authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | 0.673406 | 0.10235 |
from openpeerpower.components.binary_sensor import BinarySensorEntity
from openpeerpower.core import callback
from openpeerpower.helpers.dispatcher import async_dispatcher_connect
from . import (
CONF_ZONE_ID,
CONF_ZONE_NAME,
CONF_ZONE_TYPE,
CONF_ZONES,
SIGNAL_ZONE_CHANGED,
ZoneChangedData,
)
... | openpeerpower/components/ness_alarm/binary_sensor.py | from openpeerpower.components.binary_sensor import BinarySensorEntity
from openpeerpower.core import callback
from openpeerpower.helpers.dispatcher import async_dispatcher_connect
from . import (
CONF_ZONE_ID,
CONF_ZONE_NAME,
CONF_ZONE_TYPE,
CONF_ZONES,
SIGNAL_ZONE_CHANGED,
ZoneChangedData,
)
... | 0.797833 | 0.1291 |
import ast
import importlib
import os
import shutil
import sys
import tempfile
from unittest import mock
from tempest.lib.cmd import check_uuid
from tempest.lib import decorators
from tempest.tests import base
class TestCLInterface(base.TestCase):
CODE = "import unittest\n" \
"class TestClass(unittes... | tempest/tests/lib/cmd/test_check_uuid.py |
import ast
import importlib
import os
import shutil
import sys
import tempfile
from unittest import mock
from tempest.lib.cmd import check_uuid
from tempest.lib import decorators
from tempest.tests import base
class TestCLInterface(base.TestCase):
CODE = "import unittest\n" \
"class TestClass(unittes... | 0.413122 | 0.307826 |
import random
from traits.api import (
Bool,
Button,
HasStrictTraits,
Instance,
Int,
observe,
Property,
Str,
)
from traits_futures.api import (
CANCELLED,
COMPLETED,
FAILED,
IterationFuture,
submit_iteration,
TraitsExecutor,
)
from traitsui.api import HGroup, Ite... | docs/source/guide/examples/interruptible_task.py | import random
from traits.api import (
Bool,
Button,
HasStrictTraits,
Instance,
Int,
observe,
Property,
Str,
)
from traits_futures.api import (
CANCELLED,
COMPLETED,
FAILED,
IterationFuture,
submit_iteration,
TraitsExecutor,
)
from traitsui.api import HGroup, Ite... | 0.643665 | 0.375649 |
from __future__ import (unicode_literals, division, absolute_import, print_function)
import sys
import os
if sys.version_info < (2, 7):
from unittest2 import TestCase as _TestCase # NOQA
from unittest2 import main as _main # NOQA
from unittest2.case import SkipTest # NOQA
else:
from unittest import TestCase as... | tests/modules/__init__.py | from __future__ import (unicode_literals, division, absolute_import, print_function)
import sys
import os
if sys.version_info < (2, 7):
from unittest2 import TestCase as _TestCase # NOQA
from unittest2 import main as _main # NOQA
from unittest2.case import SkipTest # NOQA
else:
from unittest import TestCase as... | 0.327238 | 0.179854 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
__all__ = [
'GetClusterTemplateResult',
'AwaitableGetClusterTemplateResult',
'get_cluster_template',
]
@pulumi.output_type
class GetClusterTemplateResult:
... | sdk/python/pulumi_openstack/containerinfra/get_cluster_template.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from .. import _utilities, _tables
__all__ = [
'GetClusterTemplateResult',
'AwaitableGetClusterTemplateResult',
'get_cluster_template',
]
@pulumi.output_type
class GetClusterTemplateResult:
... | 0.714329 | 0.070176 |
import http.client
import plugins.IProxyPlugin
logger = None
drop_this_header = 'IN-THE-NAME-OF-PROXY2-REMOVE-THIS-HEADER-COMPLETELY'
def hexdump(data):
s = ''
n = 0
lines = []
tableline = '-----+' + '-' * 24 + '|' \
+ '-' * 25 + '+' + '-' * 18 + '+\n'
if isinstance(data, str):
d... | lib/utils.py |
import http.client
import plugins.IProxyPlugin
logger = None
drop_this_header = 'IN-THE-NAME-OF-PROXY2-REMOVE-THIS-HEADER-COMPLETELY'
def hexdump(data):
s = ''
n = 0
lines = []
tableline = '-----+' + '-' * 24 + '|' \
+ '-' * 25 + '+' + '-' * 18 + '+\n'
if isinstance(data, str):
d... | 0.290075 | 0.094845 |
import os
import json
import datetime
from hashlib import md5
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Unicode, create_engine
from sqlalchemy.orm import sessionmaker
from elasticsearch import Elasticsearch
from elasticsearch.exceptions import NotFoundError
# ## Elastic... | conductor/blueprints/user/models.py | import os
import json
import datetime
from hashlib import md5
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Unicode, create_engine
from sqlalchemy.orm import sessionmaker
from elasticsearch import Elasticsearch
from elasticsearch.exceptions import NotFoundError
# ## Elastic... | 0.162579 | 0.068569 |
from typing import List
from botbuilder.core import (
ActivityHandler,
BotFrameworkHttpClient,
CardFactory,
ConversationState,
MessageFactory,
TurnContext,
)
from botbuilder.schema import (
Attachment,
ActivityTypes,
ChannelAccount,
CardAction,
HeroCard,
)
from config impo... | Python/simple-root-bot/bots/root_bot.py | from typing import List
from botbuilder.core import (
ActivityHandler,
BotFrameworkHttpClient,
CardFactory,
ConversationState,
MessageFactory,
TurnContext,
)
from botbuilder.schema import (
Attachment,
ActivityTypes,
ChannelAccount,
CardAction,
HeroCard,
)
from config impo... | 0.761716 | 0.109087 |
from datetime import datetime, date
from Person import Person
def to_float(a_number):
return float(a_number.replace('.', '').replace(',', '.'))
def to_bool(a_bool):
assert a_bool == "true" or a_bool == "false", "Not a boolean: " + a_bool
return a_bool == "true"
def vigent_to_true(a_string):
retur... | data_adapters.py | from datetime import datetime, date
from Person import Person
def to_float(a_number):
return float(a_number.replace('.', '').replace(',', '.'))
def to_bool(a_bool):
assert a_bool == "true" or a_bool == "false", "Not a boolean: " + a_bool
return a_bool == "true"
def vigent_to_true(a_string):
retur... | 0.615088 | 0.352508 |
import itertools
import numpy as np
from mne.utils import _validate_type
from mne.io import BaseRaw
from mne.epochs import BaseEpochs
from ..viz import plot_segmentation
from ..utils import _corr_vectors
def _compute_microstate_parameters(segmentation, data, maps, maps_names, sfreq, norm_gfp=True):
"""Compute mi... | pycrostates/segmentation/segmentation.py | import itertools
import numpy as np
from mne.utils import _validate_type
from mne.io import BaseRaw
from mne.epochs import BaseEpochs
from ..viz import plot_segmentation
from ..utils import _corr_vectors
def _compute_microstate_parameters(segmentation, data, maps, maps_names, sfreq, norm_gfp=True):
"""Compute mi... | 0.8746 | 0.546557 |
"""Assessments Workflow smoke tests."""
# pylint: disable=no-self-use
# pylint: disable=invalid-name
# pylint: disable=unused-argument
# pylint: disable=too-few-public-methods
# pylint: disable=too-many-arguments
import pytest
from lib import base
from lib.constants import messages, roles, element, value_aliases as a... | test/selenium/src/tests/test_asmts_workflow.py | """Assessments Workflow smoke tests."""
# pylint: disable=no-self-use
# pylint: disable=invalid-name
# pylint: disable=unused-argument
# pylint: disable=too-few-public-methods
# pylint: disable=too-many-arguments
import pytest
from lib import base
from lib.constants import messages, roles, element, value_aliases as a... | 0.768603 | 0.334508 |
import chess
import chess.polyglot
from evaluation import evaluation
from save_pgn import SaveGame
class ModeJoueurContreJoueur:
def __init__(self):
#Initialize variables
self.player1 = input("Nom du joueur 1 : ")
self.player2 = input("Nom du joueur 2 : ")
... | Joueur_vs_Joueur.py | import chess
import chess.polyglot
from evaluation import evaluation
from save_pgn import SaveGame
class ModeJoueurContreJoueur:
def __init__(self):
#Initialize variables
self.player1 = input("Nom du joueur 1 : ")
self.player2 = input("Nom du joueur 2 : ")
... | 0.170784 | 0.110783 |
import traceback
from pathlib import Path
from typing import List
from lean.components.api.api_client import APIClient
from lean.components.config.project_config_manager import ProjectConfigManager
from lean.components.util.logger import Logger
from lean.components.util.platform_manager import PlatformManager
from le... | lean/components/cloud/pull_manager.py |
import traceback
from pathlib import Path
from typing import List
from lean.components.api.api_client import APIClient
from lean.components.config.project_config_manager import ProjectConfigManager
from lean.components.util.logger import Logger
from lean.components.util.platform_manager import PlatformManager
from le... | 0.784236 | 0.189184 |
from niio import loaded, write
from operator import itemgetter
import numpy as np
from nilearn.signal import clean
from nilearn.decomposition.base import fast_svd
from scipy.stats import scoreatpercentile
from scipy.linalg import eigh
from sklearn.decomposition import fastica
from joblib import Parallel, delayed
fro... | meshica/migp.py | from niio import loaded, write
from operator import itemgetter
import numpy as np
from nilearn.signal import clean
from nilearn.decomposition.base import fast_svd
from scipy.stats import scoreatpercentile
from scipy.linalg import eigh
from sklearn.decomposition import fastica
from joblib import Parallel, delayed
fro... | 0.780913 | 0.422564 |
import logging
import re
import os
from google.appengine.api import mail
from google.appengine.ext import db
from google.appengine.ext.webapp import template
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
os.environ['DJANGO_SETTINGS_MODULE'] = 'conf.settings'
from dj... | src/post.py | import logging
import re
import os
from google.appengine.api import mail
from google.appengine.ext import db
from google.appengine.ext.webapp import template
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
os.environ['DJANGO_SETTINGS_MODULE'] = 'conf.settings'
from dj... | 0.152916 | 0.055183 |
# Imports
from __future__ import (unicode_literals, absolute_import, division, print_function)
import os
import sys
from lexarcheo.basededonnees import (Texte, Version_texte, Section, Version_section, Article)
from lexarcheo.utilitaires import (chemin_texte, normalise_date, comp_infini)
from bs4 import BeautifulSoup
... | lexarcheo/ranger.py |
# Imports
from __future__ import (unicode_literals, absolute_import, division, print_function)
import os
import sys
from lexarcheo.basededonnees import (Texte, Version_texte, Section, Version_section, Article)
from lexarcheo.utilitaires import (chemin_texte, normalise_date, comp_infini)
from bs4 import BeautifulSoup
... | 0.266357 | 0.089773 |
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_resource
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_response
from nssrc.com.citrix.netscaler.nitro.service.options import options
from nssrc.com.citrix.netscaler.nitro.exception.nitro_exception import nitro... | nitro-python/nssrc/com/citrix/netscaler/nitro/resource/config/cr/crpolicy.py |
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_resource
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_response
from nssrc.com.citrix.netscaler.nitro.service.options import options
from nssrc.com.citrix.netscaler.nitro.exception.nitro_exception import nitro... | 0.670932 | 0.325092 |
from ..backend.ir_to_tflite import TFLiteConverter, set_platform
from ..converter_ir.ir_quantizer import IRQuantizer
from ..converter_ir.ir_transform import IRTransform, TransformerRule
from ..frontend.mge_to_ir import MGE_FrontEnd
def mge_to_tflite(
mge_fpath,
output="out.tflite",
*,
graph_name="grap... | mgeconvert/converters/mge_to_tflite.py | from ..backend.ir_to_tflite import TFLiteConverter, set_platform
from ..converter_ir.ir_quantizer import IRQuantizer
from ..converter_ir.ir_transform import IRTransform, TransformerRule
from ..frontend.mge_to_ir import MGE_FrontEnd
def mge_to_tflite(
mge_fpath,
output="out.tflite",
*,
graph_name="grap... | 0.793586 | 0.322673 |
from neutron_lib import exceptions
class CorruptedSystemError(exceptions.NeutronException):
message = _('System contain conflicts: %(description)s.')
class VRouterConnectFailure(exceptions.NeutronException):
"""Couldn't connect to instance."""
message = _("Couldn't connect to Vyatta vRouter [%(ip_addre... | networking_brocade/vyatta/common/exceptions.py |
from neutron_lib import exceptions
class CorruptedSystemError(exceptions.NeutronException):
message = _('System contain conflicts: %(description)s.')
class VRouterConnectFailure(exceptions.NeutronException):
"""Couldn't connect to instance."""
message = _("Couldn't connect to Vyatta vRouter [%(ip_addre... | 0.872415 | 0.090615 |
from argparse import ArgumentParser
import os
from Bio import SeqIO
from Bio.Seq import Seq
import subprocess
from collections import deque
import itertools
def get_phe_pos(path):
with open(path) as f:
for _, record in enumerate(SeqIO.parse(path, "genbank")):
for fea in record.features:
... | rotation.py | from argparse import ArgumentParser
import os
from Bio import SeqIO
from Bio.Seq import Seq
import subprocess
from collections import deque
import itertools
def get_phe_pos(path):
with open(path) as f:
for _, record in enumerate(SeqIO.parse(path, "genbank")):
for fea in record.features:
... | 0.444324 | 0.114171 |
import logging
import great_expectations as ge
import pandas as pd
import unittest
from etl.helpers import common
from etl.helpers.dataset_shape import ShapePandasDataset
"""Unit tests for Great Expectations common helpers.
Run with `python -m etl.helpers.test_ge_common`.
"""
TEST_DATA = pd.DataFrame(
data={"co... | etl/helpers/test_ge_common.py | import logging
import great_expectations as ge
import pandas as pd
import unittest
from etl.helpers import common
from etl.helpers.dataset_shape import ShapePandasDataset
"""Unit tests for Great Expectations common helpers.
Run with `python -m etl.helpers.test_ge_common`.
"""
TEST_DATA = pd.DataFrame(
data={"co... | 0.718496 | 0.602412 |
import collections
from tensorflow.python import pywrap_tfe as pywrap_tfe
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.eager import execute as _execute
from tensorflow.python.framework import dtypes as _dtypes
from tensorflow.python.f... | Reinforcement-Learning/Python-Model/venv/lib/python3.8/site-packages/tensorflow/python/ops/gen_map_ops.py | import collections
from tensorflow.python import pywrap_tfe as pywrap_tfe
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.eager import execute as _execute
from tensorflow.python.framework import dtypes as _dtypes
from tensorflow.python.f... | 0.854975 | 0.284534 |
import random
import sys
import os
from cos_client import CosS3Client
from cos_client import CosConfig
from cos_exception import CosServiceError
ACCESS_ID = os.environ["ACCESS_ID"]
ACCESS_KEY = os.environ["ACCESS_KEY"]
def gen_file(path, size):
_file = open(path, 'w')
_file.seek(1024*1024*size)
_file.wri... | qcloudcos/cos/test.py | import random
import sys
import os
from cos_client import CosS3Client
from cos_client import CosConfig
from cos_exception import CosServiceError
ACCESS_ID = os.environ["ACCESS_ID"]
ACCESS_KEY = os.environ["ACCESS_KEY"]
def gen_file(path, size):
_file = open(path, 'w')
_file.seek(1024*1024*size)
_file.wri... | 0.147678 | 0.082401 |
from django.core.validators import MaxLengthValidator, MaxValueValidator
from django.core.validators import MinLengthValidator
from django.core.validators import MinValueValidator
from django.core.validators import EmailValidator
from django.core.validators import RegexValidator
from django.db import models
from django... | backend/models.py | from django.core.validators import MaxLengthValidator, MaxValueValidator
from django.core.validators import MinLengthValidator
from django.core.validators import MinValueValidator
from django.core.validators import EmailValidator
from django.core.validators import RegexValidator
from django.db import models
from django... | 0.433981 | 0.173411 |
"""VGG16 benchmark in Fluid"""
from __future__ import print_function
import sys
import time
import numpy as np
import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
import argparse
import functools
def vgg16_bn_drop(input):
def conv_block(input, num_filter, groups, dropouts):
return... | benchmark/fluid/models/vgg.py | """VGG16 benchmark in Fluid"""
from __future__ import print_function
import sys
import time
import numpy as np
import paddle
import paddle.fluid as fluid
import paddle.fluid.core as core
import argparse
import functools
def vgg16_bn_drop(input):
def conv_block(input, num_filter, groups, dropouts):
return... | 0.725551 | 0.405066 |
from builtins import object
import re
from kazoo.client import KazooState
from kazoo.exceptions import LockTimeout
from yahoo_panoptes.framework.validators import PanoptesValidators
from yahoo_panoptes.framework.context import PanoptesContextValidators
from yahoo_panoptes.framework.utilities.helpers import get_callin... | yahoo_panoptes/framework/utilities/lock.py | from builtins import object
import re
from kazoo.client import KazooState
from kazoo.exceptions import LockTimeout
from yahoo_panoptes.framework.validators import PanoptesValidators
from yahoo_panoptes.framework.context import PanoptesContextValidators
from yahoo_panoptes.framework.utilities.helpers import get_callin... | 0.638385 | 0.247595 |
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.KbPosOrderDishDetail import KbPosOrderDishDetail
from alipay.aop.api.domain.PosBillPayChannel import PosBillPayChannel
class KoubeiCateringOrderInfoQueryResponse(AlipayResponse):
def __init__(self):
... | alipay/aop/api/response/KoubeiCateringOrderInfoQueryResponse.py | import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.KbPosOrderDishDetail import KbPosOrderDishDetail
from alipay.aop.api.domain.PosBillPayChannel import PosBillPayChannel
class KoubeiCateringOrderInfoQueryResponse(AlipayResponse):
def __init__(self):
... | 0.613005 | 0.080937 |
from tests.unit import unittest
from mock import call, Mock, patch, sentinel
from boto.glacier.layer1 import Layer1
from boto.glacier.layer2 import Layer2
import boto.glacier.vault
from boto.glacier.vault import Vault
from boto.glacier.vault import Job
from StringIO import StringIO
from datetime import datetime, t... | tests/unit/glacier/test_layer2.py |
from tests.unit import unittest
from mock import call, Mock, patch, sentinel
from boto.glacier.layer1 import Layer1
from boto.glacier.layer2 import Layer2
import boto.glacier.vault
from boto.glacier.vault import Vault
from boto.glacier.vault import Job
from StringIO import StringIO
from datetime import datetime, t... | 0.416678 | 0.374448 |
import logging
import math
from libtbx import phil
from rstbx.array_family import (
flex, # required to load scitbx::af::shared<rstbx::Direction> to_python converter
)
from rstbx.dps_core import SimpleSamplerTool
from scitbx import matrix
from dials.algorithms.indexing import DialsIndexError
from .strategy impo... | algorithms/indexing/basis_vector_search/real_space_grid_search.py | import logging
import math
from libtbx import phil
from rstbx.array_family import (
flex, # required to load scitbx::af::shared<rstbx::Direction> to_python converter
)
from rstbx.dps_core import SimpleSamplerTool
from scitbx import matrix
from dials.algorithms.indexing import DialsIndexError
from .strategy impo... | 0.881066 | 0.647269 |
import dumper
import sys
import os
import re
import random
import string
import pyverilog
from optparse import OptionParser
from pyverilog.vparser.parser import parse
from pyverilog.ast_code_generator.codegen import ASTCodeGenerator
from pyverilog.utils.identifiervisitor import getIdentifiers
def stringGarbage( len):... | hdl_cores/auto-fir/amnesia.py |
import dumper
import sys
import os
import re
import random
import string
import pyverilog
from optparse import OptionParser
from pyverilog.vparser.parser import parse
from pyverilog.ast_code_generator.codegen import ASTCodeGenerator
from pyverilog.utils.identifiervisitor import getIdentifiers
def stringGarbage( len):... | 0.283087 | 0.154472 |
import pytest
from pytestqt import qtbot
from PyQt5 import QtWidgets, QtCore
from PyQt5.QtWidgets import QPushButton
from PyQt5.QtCore import Qt
from client.clientController import *
import requests, json, time
@pytest.fixture
def setUp(qtbot):
#app = QtWidgets.QApplication([])
#app.exec_()
url = "http:/... | src/unittest/python/DesktopApp/test_desktopApp.py | import pytest
from pytestqt import qtbot
from PyQt5 import QtWidgets, QtCore
from PyQt5.QtWidgets import QPushButton
from PyQt5.QtCore import Qt
from client.clientController import *
import requests, json, time
@pytest.fixture
def setUp(qtbot):
#app = QtWidgets.QApplication([])
#app.exec_()
url = "http:/... | 0.407923 | 0.268941 |