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 unittest import mock
import pytest
from pinakes.common.auth.keycloak_django.permissions import (
KeycloakPolicy,
PermittedResourcesResult,
)
from pinakes.main.approval.permissions import (
RequestPermission,
)
from pinakes.main.approval.tests.factories import (
RequestFactory,
)
from pinakes.mai... | pinakes/main/approval/tests/unit/test_request_permissions.py |
from unittest import mock
import pytest
from pinakes.common.auth.keycloak_django.permissions import (
KeycloakPolicy,
PermittedResourcesResult,
)
from pinakes.main.approval.permissions import (
RequestPermission,
)
from pinakes.main.approval.tests.factories import (
RequestFactory,
)
from pinakes.mai... | 0.778691 | 0.419053 |
from datetime import datetime
import django
from django.utils.unittest import skipUnless
from django.core.exceptions import ImproperlyConfigured
from actstream.signals import action
from actstream.registry import register, unregister
from actstream.models import Action, actor_stream, model_stream
from actstream.tests... | actstream/runtests/testapp/tests.py | from datetime import datetime
import django
from django.utils.unittest import skipUnless
from django.core.exceptions import ImproperlyConfigured
from actstream.signals import action
from actstream.registry import register, unregister
from actstream.models import Action, actor_stream, model_stream
from actstream.tests... | 0.609175 | 0.241624 |
from board import Board
from ship import Ship
class Player:
def __init__(self, name, x, fleet):
self.name = name
self.board = Board(x)
self.ships = [Ship(*f, set(), False) for f in fleet]
self.sunk = set()
def add_ship(self, locus, orientation, ship_to_place):
x, y = l... | player.py | from board import Board
from ship import Ship
class Player:
def __init__(self, name, x, fleet):
self.name = name
self.board = Board(x)
self.ships = [Ship(*f, set(), False) for f in fleet]
self.sunk = set()
def add_ship(self, locus, orientation, ship_to_place):
x, y = l... | 0.442034 | 0.161122 |
import abc
import re
import xml.etree.ElementTree as ET
from xml.dom import minidom
import pretty_print_xml
# Non-basic type keys for storing comments and text attributes, so they don't
# conflict with regular keys, and can be skipped in JSON serialization.
COMMENT_KEY = ('comment')
TEXT_KEY = ('text')
def GetComme... | tools/metrics/common/models.py | import abc
import re
import xml.etree.ElementTree as ET
from xml.dom import minidom
import pretty_print_xml
# Non-basic type keys for storing comments and text attributes, so they don't
# conflict with regular keys, and can be skipped in JSON serialization.
COMMENT_KEY = ('comment')
TEXT_KEY = ('text')
def GetComme... | 0.794744 | 0.281884 |
from pretty import *
from collections import defaultdict
from functools import reduce
class CFragment(object):
'Common superclass for C statements and expressions.'
INDENT=2
class CTest(CFragment):
def __init__(self, string):
self.s = string
def format(self):
return text(self.s + ';')
def form... | asdl/lang/alive_lang/alive/codegen.py |
from pretty import *
from collections import defaultdict
from functools import reduce
class CFragment(object):
'Common superclass for C statements and expressions.'
INDENT=2
class CTest(CFragment):
def __init__(self, string):
self.s = string
def format(self):
return text(self.s + ';')
def form... | 0.407451 | 0.202423 |
from mbfxml2ex.classes import MBFPropertyChannel, MBFProperty, NeurolucidaChannel, NeurolucidaChannels, \
NeurolucidaZSpacing, MBFPoint, MBFPropertyPunctum, MBFPropertyVolumeRLE, MBFPropertySet, MBFPropertyTraceAssociation, MBFTree, MBFPropertyGUID, MBFPropertyFillDensity
from mbfxml2ex.conversions import hex_to_rg... | src/mbfxml2ex/parsers.py | from mbfxml2ex.classes import MBFPropertyChannel, MBFProperty, NeurolucidaChannel, NeurolucidaChannels, \
NeurolucidaZSpacing, MBFPoint, MBFPropertyPunctum, MBFPropertyVolumeRLE, MBFPropertySet, MBFPropertyTraceAssociation, MBFTree, MBFPropertyGUID, MBFPropertyFillDensity
from mbfxml2ex.conversions import hex_to_rg... | 0.569972 | 0.296858 |
from typing import Callable, Any, Union
import biorbd
import casadi
from ..dynamics.ode_solver import OdeSolver
from ..limits.path_conditions import Bounds, InitialGuess, BoundsList
from ..misc.enums import ControlType
from ..misc.options import OptionList
class NonLinearProgram:
"""
A nonlinear program tha... | bioptim/optimization/non_linear_program.py | from typing import Callable, Any, Union
import biorbd
import casadi
from ..dynamics.ode_solver import OdeSolver
from ..limits.path_conditions import Bounds, InitialGuess, BoundsList
from ..misc.enums import ControlType
from ..misc.options import OptionList
class NonLinearProgram:
"""
A nonlinear program tha... | 0.887729 | 0.665709 |
import torch
from torchtext import data
from torchtext import datasets
from tvm.relay.test_network import BiLSTM
SEED = 1234
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
torch.backends.cudnn.deterministic = True
TEXT = data.Field(tokenize = 'spacy', include_lengths = True)
LABEL = data.LabelField(dtype = tor... | BLSTM.py | import torch
from torchtext import data
from torchtext import datasets
from tvm.relay.test_network import BiLSTM
SEED = 1234
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
torch.backends.cudnn.deterministic = True
TEXT = data.Field(tokenize = 'spacy', include_lengths = True)
LABEL = data.LabelField(dtype = tor... | 0.947259 | 0.427935 |
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
RESOLUTION = 'Performance Tuning of Cortex XSOAR Server: https://docs.paloaltonetworks.com/cortex/cortex-xsoar/6-0/' \
'cortex-xsoar-admin/cortex-xsoar-overview/performance-tuning-of-cortex-xsoar-server'
def anal... | Packs/HealthCheck/Scripts/HealthCheckCPU/HealthCheckCPU.py | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
RESOLUTION = 'Performance Tuning of Cortex XSOAR Server: https://docs.paloaltonetworks.com/cortex/cortex-xsoar/6-0/' \
'cortex-xsoar-admin/cortex-xsoar-overview/performance-tuning-of-cortex-xsoar-server'
def anal... | 0.442637 | 0.185726 |
# MIB Name
NAME = "EtherLike-MIB"
# Metadata
LAST_UPDATED = "2003-09-19"
COMPILED = "2020-01-19"
# MIB Data: name -> oid
MIB = {
"EtherLike-MIB::dot3": "1.3.6.1.2.1.10.7",
"EtherLike-MIB::dot3StatsTable": "1.3.6.1.2.1.10.7.2",
"EtherLike-MIB::dot3StatsEntry": "1.3.6.1.2.1.10.7.2.1",
"EtherLike-MIB::d... | cmibs/etherlike_mib.py |
# MIB Name
NAME = "EtherLike-MIB"
# Metadata
LAST_UPDATED = "2003-09-19"
COMPILED = "2020-01-19"
# MIB Data: name -> oid
MIB = {
"EtherLike-MIB::dot3": "1.3.6.1.2.1.10.7",
"EtherLike-MIB::dot3StatsTable": "1.3.6.1.2.1.10.7.2",
"EtherLike-MIB::dot3StatsEntry": "1.3.6.1.2.1.10.7.2.1",
"EtherLike-MIB::d... | 0.484624 | 0.208521 |
import numpy as np
#numpy is a numerical python uses to high dimentional feature calculations
import pandas as pd
#pandas is python data frame library uses to manupulate data
data = pd.read_csv("/home/saireddy/NameError/DOCS/Regression/boston-house-prices/housing_data.csv")
#read_csv is the function from panda... | Regression/decisionTreeRegressor.py | import numpy as np
#numpy is a numerical python uses to high dimentional feature calculations
import pandas as pd
#pandas is python data frame library uses to manupulate data
data = pd.read_csv("/home/saireddy/NameError/DOCS/Regression/boston-house-prices/housing_data.csv")
#read_csv is the function from panda... | 0.376967 | 0.730819 |
import pytest
from unittest.mock import patch
import logging
from pyvesync import VeSync, VeSyncOutdoorPlug
from pyvesync.helpers import Helpers as helpers
from . import call_json
DEV_LIST_DETAIL = call_json.LIST_CONF_OUTDOOR_1
DEV_LIST_DETAIL_2 = call_json.LIST_CONF_OUTDOOR_2
CORRECT_OUTDOOR_LIST = call_json.DEVLI... | src/tests/test_vesync_outdoor.py |
import pytest
from unittest.mock import patch
import logging
from pyvesync import VeSync, VeSyncOutdoorPlug
from pyvesync.helpers import Helpers as helpers
from . import call_json
DEV_LIST_DETAIL = call_json.LIST_CONF_OUTDOOR_1
DEV_LIST_DETAIL_2 = call_json.LIST_CONF_OUTDOOR_2
CORRECT_OUTDOOR_LIST = call_json.DEVLI... | 0.535584 | 0.217847 |
import asyncio
import pytest
import recline
from recline.commands.async_command import AsyncCommand
@pytest.mark.usefixtures("clean_jobs")
def test_async_command_run():
"""Verify that if given a coroutine, the AsyncCommand will register and then
run the coroutine when in the foreground.
"""
test_re... | tests/test_commands/test_async_command.py | import asyncio
import pytest
import recline
from recline.commands.async_command import AsyncCommand
@pytest.mark.usefixtures("clean_jobs")
def test_async_command_run():
"""Verify that if given a coroutine, the AsyncCommand will register and then
run the coroutine when in the foreground.
"""
test_re... | 0.47658 | 0.42937 |
# ## Download multiple modalities of pan-cancer data from TCGA
#
# The data is accessed directly from the [Genome Data Commons](https://gdc.cancer.gov/about-data/publications/pancanatlas).
#
# NOTE: this download script uses the `md5sum` shell utility to verify file hashes. This script was developed and tested on a ... | 0_download_data/nbconverted/0_download_data.py |
# ## Download multiple modalities of pan-cancer data from TCGA
#
# The data is accessed directly from the [Genome Data Commons](https://gdc.cancer.gov/about-data/publications/pancanatlas).
#
# NOTE: this download script uses the `md5sum` shell utility to verify file hashes. This script was developed and tested on a ... | 0.599602 | 0.581362 |
import os
import cv2
import numpy as np
from statistics import mean
BASE_DIR = os.path.dirname(__file__)
SYMBOL_DIR = os.path.join(BASE_DIR, "SymbolsNew")
CHALLENGE_DIR = os.path.join(BASE_DIR, "Challenge")
SYMBOL_PREFX = "Slide"
def show_result(img_t, img_c, name, kp_t, kp_c, matches, good_matches):
src_pts = np... | Task 2/objDetect.py | import os
import cv2
import numpy as np
from statistics import mean
BASE_DIR = os.path.dirname(__file__)
SYMBOL_DIR = os.path.join(BASE_DIR, "SymbolsNew")
CHALLENGE_DIR = os.path.join(BASE_DIR, "Challenge")
SYMBOL_PREFX = "Slide"
def show_result(img_t, img_c, name, kp_t, kp_c, matches, good_matches):
src_pts = np... | 0.362969 | 0.326862 |
from flask import (
current_app, request, redirect, url_for, render_template, flash, abort,
make_response
)
from flask import session as login_session
from flask_babel import gettext
from flask_login import login_user, login_required, logout_user
from itsdangerous import URLSafeSerializer, BadSignature
from ap... | app/auth/google_oauth.py |
from flask import (
current_app, request, redirect, url_for, render_template, flash, abort,
make_response
)
from flask import session as login_session
from flask_babel import gettext
from flask_login import login_user, login_required, logout_user
from itsdangerous import URLSafeSerializer, BadSignature
from ap... | 0.380414 | 0.043467 |
import pytest
import ray
import torch.distributed as dist
import torch.nn as nn
from ray import tune
from ray.util.sgd.torch import TorchTrainer
from ray.util.sgd.torch.examples.train_example import (
model_creator,
optimizer_creator,
data_creator,
)
from ray.util.sgd.torch.training_operator import Trainin... | python/ray/util/sgd/tests/test_torch_basic.py | import pytest
import ray
import torch.distributed as dist
import torch.nn as nn
from ray import tune
from ray.util.sgd.torch import TorchTrainer
from ray.util.sgd.torch.examples.train_example import (
model_creator,
optimizer_creator,
data_creator,
)
from ray.util.sgd.torch.training_operator import Trainin... | 0.871543 | 0.527864 |
"""loopchain timer service."""
import asyncio
import time
from loopchain.baseservice import CommonThread
from loopchain.blockchain import *
class OffType(Enum):
"""enum class of reason to turn off timer"""
normal = 0
time_out = 1
class Timer:
"""timer object"""
def __init__(self, **kwargs):
... | loopchain/baseservice/timer_service.py | """loopchain timer service."""
import asyncio
import time
from loopchain.baseservice import CommonThread
from loopchain.blockchain import *
class OffType(Enum):
"""enum class of reason to turn off timer"""
normal = 0
time_out = 1
class Timer:
"""timer object"""
def __init__(self, **kwargs):
... | 0.747432 | 0.125627 |
""" Userbot module which contains afk-related commands """
import time
from telethon.events import StopPropagation
from userbot import (
AFKREASON,
COUNT_MSG,
CMD_HELP,
ISAFK,
BOTLOG,
BOTLOG_CHATID,
USERS)
from userbot.events import register
@register(incoming=True, disable_edited=True)... | userbot/modules/afk.py | """ Userbot module which contains afk-related commands """
import time
from telethon.events import StopPropagation
from userbot import (
AFKREASON,
COUNT_MSG,
CMD_HELP,
ISAFK,
BOTLOG,
BOTLOG_CHATID,
USERS)
from userbot.events import register
@register(incoming=True, disable_edited=True)... | 0.357568 | 0.152032 |
import pylibftdi as ftdi
from adf4158 import ADF4158
from queue import Queue, Empty
from threading import Thread
import datetime
class FMCW3():
def __init__(self):
SYNCFF = 0x40
SIO_RTS_CTS_HS = (0x1 << 8)
self.device = ftdi.Device(mode='b', interface_select=ftdi.INTERFACE_A)
self.d... | pc/fmcw3.py | import pylibftdi as ftdi
from adf4158 import ADF4158
from queue import Queue, Empty
from threading import Thread
import datetime
class FMCW3():
def __init__(self):
SYNCFF = 0x40
SIO_RTS_CTS_HS = (0x1 << 8)
self.device = ftdi.Device(mode='b', interface_select=ftdi.INTERFACE_A)
self.d... | 0.224565 | 0.165627 |
import config
EN_NAMES = {
1: u'Bulbasaur', 2: u'Ivysaur', 3: u'Venusaur', 4: u'Charmander',
5: u'Charmeleon', 6: u'Charizard', 7: u'Squirtle', 8: u'Wartortle',
9: u'Blastoise', 10: u'Caterpie', 11: u'Metapod', 12: u'Butterfree',
13: u'Weedle', 14: u'Kakuna', 15: u'Beedrill', 16: u'Pidgey',
17: u'P... | names.py | import config
EN_NAMES = {
1: u'Bulbasaur', 2: u'Ivysaur', 3: u'Venusaur', 4: u'Charmander',
5: u'Charmeleon', 6: u'Charizard', 7: u'Squirtle', 8: u'Wartortle',
9: u'Blastoise', 10: u'Caterpie', 11: u'Metapod', 12: u'Butterfree',
13: u'Weedle', 14: u'Kakuna', 15: u'Beedrill', 16: u'Pidgey',
17: u'P... | 0.385722 | 0.132543 |
import datetime
import webbrowser as wb
import wikipedia
import speech_recognition as sr
import pyaudio
import os
import smtplib
import pyttsx3
import time
import selenium
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)
# Jarvis Voice
def ... | jarvis.py | import datetime
import webbrowser as wb
import wikipedia
import speech_recognition as sr
import pyaudio
import os
import smtplib
import pyttsx3
import time
import selenium
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)
# Jarvis Voice
def ... | 0.100823 | 0.056262 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible_collections.community.general.plugins.module_utils.source_control.bitbucket import BitbucketHelper
from ansible_collections.community.general.plugins.modules.source_control.bitbucket import bitbucket_access_key
from a... | Collections-a-installer/community-general-2.4.0/tests/unit/plugins/modules/source_control/bitbucket/test_bitbucket_access_key.py |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible_collections.community.general.plugins.module_utils.source_control.bitbucket import BitbucketHelper
from ansible_collections.community.general.plugins.modules.source_control.bitbucket import bitbucket_access_key
from a... | 0.658747 | 0.255349 |
import pytest
from datetime import datetime, timedelta
from modis_tools.auth import ModisSession, has_download_cookies
class TestModisSession:
def test_creates_session(self):
modis = ModisSession("test user", "test password")
assert modis.session
def test_no_credentials_raises_exception(se... | tests/test_auth.py | import pytest
from datetime import datetime, timedelta
from modis_tools.auth import ModisSession, has_download_cookies
class TestModisSession:
def test_creates_session(self):
modis = ModisSession("test user", "test password")
assert modis.session
def test_no_credentials_raises_exception(se... | 0.646906 | 0.71227 |
import ccobra
import random
import base_models.mReasoner as mReasoner
class ccobra_mReasoner(ccobra.CCobraModel):
"""
This model uses ccobras adapt-predict cycle to determine when individuals
search for alternative models with mReasoner.
"""
def __init__(self, name='mReasoner adaptiv'):
su... | syllogistic/student_projects/2021_wiens/models/ccobra_mReasoner.py | import ccobra
import random
import base_models.mReasoner as mReasoner
class ccobra_mReasoner(ccobra.CCobraModel):
"""
This model uses ccobras adapt-predict cycle to determine when individuals
search for alternative models with mReasoner.
"""
def __init__(self, name='mReasoner adaptiv'):
su... | 0.644449 | 0.320183 |
import loguru
import numpy as np
from typing import Optional, Tuple
class Perceptron:
"""Provide representation of Perceptron entity."""
def __init__(
self,
eta: float=0.01,
n_iter: int=10,
shuffle: bool=True,
random_state: Optional[int]=None,
... | perceptron.py |
import loguru
import numpy as np
from typing import Optional, Tuple
class Perceptron:
"""Provide representation of Perceptron entity."""
def __init__(
self,
eta: float=0.01,
n_iter: int=10,
shuffle: bool=True,
random_state: Optional[int]=None,
... | 0.938159 | 0.566558 |
import time
import rclpy
import ujson
import subprocess
from typing import Optional
from rclpy.node import Node
from example_interfaces.msg import String, Bool
from rcl_interfaces.srv import GetParameters
from python_pkg.volume_percent import get_init_volume_percent
# play music/the-second.mp3
# 3611660238
# play /... | src/python_pkg/python_pkg/audio_loop.py | import time
import rclpy
import ujson
import subprocess
from typing import Optional
from rclpy.node import Node
from example_interfaces.msg import String, Bool
from rcl_interfaces.srv import GetParameters
from python_pkg.volume_percent import get_init_volume_percent
# play music/the-second.mp3
# 3611660238
# play /... | 0.610337 | 0.092729 |
import unittest
from poker.card import Card
from poker.validators import RoyalFlushValidator
class RoyalFlushValidatorTest(unittest.TestCase):
def test_validates_that_cards_do_not_have_straight_flush_ending_in_ace(self):
cards = [
Card(rank = "9", suit = "Clubs"),
Card(rank = "10",... | learn-to-code-with-python/32-PROJECT-Texas-Hold-Em-Poker/tests/validators/test_royal_flush_validator.py | import unittest
from poker.card import Card
from poker.validators import RoyalFlushValidator
class RoyalFlushValidatorTest(unittest.TestCase):
def test_validates_that_cards_do_not_have_straight_flush_ending_in_ace(self):
cards = [
Card(rank = "9", suit = "Clubs"),
Card(rank = "10",... | 0.58676 | 0.295433 |
import taichi as ti
ti.init(arch=ti.cpu) # Alternatively, ti.init(arch=ti.cpu)
N = 128
cell_size = 1.0 / N
gravity = 0.5
stiffness = 1600
damping = 2
dt = 5e-4
ball_radius = 0.2
ball_center = ti.Vector.field(3, float, (1, ))
x = ti.Vector.field(3, float, (N, N))
v = ti.Vector.field(3, float, (N, N))
num_triangles... | cloth_original.py | import taichi as ti
ti.init(arch=ti.cpu) # Alternatively, ti.init(arch=ti.cpu)
N = 128
cell_size = 1.0 / N
gravity = 0.5
stiffness = 1600
damping = 2
dt = 5e-4
ball_radius = 0.2
ball_center = ti.Vector.field(3, float, (1, ))
x = ti.Vector.field(3, float, (N, N))
v = ti.Vector.field(3, float, (N, N))
num_triangles... | 0.438064 | 0.618636 |
from __future__ import absolute_import, division, print_function
import os
import skimage.transform
import numpy as np
import PIL.Image as pil
import cv2
from kitti_utils import generate_depth_map
from .mono_dataset import MonoDataset
class KITTIDataset(MonoDataset):
"""Superclass for different types of KITTI d... | datasets/kitti_dataset.py |
from __future__ import absolute_import, division, print_function
import os
import skimage.transform
import numpy as np
import PIL.Image as pil
import cv2
from kitti_utils import generate_depth_map
from .mono_dataset import MonoDataset
class KITTIDataset(MonoDataset):
"""Superclass for different types of KITTI d... | 0.694613 | 0.313039 |
from marshmallow import Schema, fields, validate
from ..base import ObjectConfig
class BaseTaskShema(Schema):
log = fields.Boolean(required=False, missing=True, description="Turn on logging")
id = fields.String(
required=False,
description="Run name/ID",
example="train_eurosat_123",
... | aitlas/tasks/schemas.py | from marshmallow import Schema, fields, validate
from ..base import ObjectConfig
class BaseTaskShema(Schema):
log = fields.Boolean(required=False, missing=True, description="Turn on logging")
id = fields.String(
required=False,
description="Run name/ID",
example="train_eurosat_123",
... | 0.657318 | 0.418043 |
from django.contrib import messages
from django.core.context_processors import csrf
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.views.decorators.csrf import csrf_protect
from sentry.constants import MEMBER_USER, MEMBER_OWNER
from sentry.models import PendingTea... | src/sentry/web/frontend/teams.py | from django.contrib import messages
from django.core.context_processors import csrf
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.views.decorators.csrf import csrf_protect
from sentry.constants import MEMBER_USER, MEMBER_OWNER
from sentry.models import PendingTea... | 0.390011 | 0.053601 |
import re
from itertools import chain
import numpy as np
from Orange.data import Domain, DiscreteVariable
ANNOTATED_DATA_SIGNAL_NAME = "Data"
ANNOTATED_DATA_FEATURE_NAME = "Selected"
RE_FIND_INDEX = r"(^{} \()(\d{{1,}})(\)$)"
def add_columns(domain, attributes=(), class_vars=(), metas=()):
"""Construct a new do... | orange3/Orange/widgets/utils/annotated_data.py | import re
from itertools import chain
import numpy as np
from Orange.data import Domain, DiscreteVariable
ANNOTATED_DATA_SIGNAL_NAME = "Data"
ANNOTATED_DATA_FEATURE_NAME = "Selected"
RE_FIND_INDEX = r"(^{} \()(\d{{1,}})(\)$)"
def add_columns(domain, attributes=(), class_vars=(), metas=()):
"""Construct a new do... | 0.72662 | 0.305555 |
from __future__ import print_function, division
import numpy as np
from Top2Phase.utils import PeriodicCKDTree, distance_pbc
from tqdm import tqdm
from pymatgen.core.structure import IStructure
import mdtraj as md
import numpy as np
import os, sys
import argparse
import boo
def main():
parser = argparse.Argument... | src/Top2Phase/compute_orderparameters.py | from __future__ import print_function, division
import numpy as np
from Top2Phase.utils import PeriodicCKDTree, distance_pbc
from tqdm import tqdm
from pymatgen.core.structure import IStructure
import mdtraj as md
import numpy as np
import os, sys
import argparse
import boo
def main():
parser = argparse.Argument... | 0.135232 | 0.145692 |
import argparse
import numpy as np
import sys
from typing import List, TextIO
def main():
args = read_args()
# read in and merge bedfile
if args.bed_file is not None:
with open(args.bed_file) as bed_file:
bed = read_bed(bed_file, args.merge)
else:
bed = None
if args.i... | thin_vcf.py | import argparse
import numpy as np
import sys
from typing import List, TextIO
def main():
args = read_args()
# read in and merge bedfile
if args.bed_file is not None:
with open(args.bed_file) as bed_file:
bed = read_bed(bed_file, args.merge)
else:
bed = None
if args.i... | 0.439988 | 0.362969 |
import subprocess
import sys
import re
import optparse
import os
import logging
import math
picoquant = "picoquant"
intensity = "intensity"
histogram = "histogram"
correlate = "correlate"
picoquant_modes = {
"thd": "interactive",
"thc": "interactive",
"t3r": "t3",
"phd": "interactive",
"pt2": "t... | scripts/deprecated/process_picoquant.py |
import subprocess
import sys
import re
import optparse
import os
import logging
import math
picoquant = "picoquant"
intensity = "intensity"
histogram = "histogram"
correlate = "correlate"
picoquant_modes = {
"thd": "interactive",
"thc": "interactive",
"t3r": "t3",
"phd": "interactive",
"pt2": "t... | 0.531696 | 0.271373 |
import fiber
import multiprocessing as mp
import time
import pytest
import docker
import fiber.config
from fiber.docker_backend import Backend
from fiber.util import find_ip_by_net_interface
import psutil
import ipaddress
import socket
def wrap_result(queue):
backend = Backend()
r = backend.get_listen_addr()
... | tests/test_docker_backend.py | import fiber
import multiprocessing as mp
import time
import pytest
import docker
import fiber.config
from fiber.docker_backend import Backend
from fiber.util import find_ip_by_net_interface
import psutil
import ipaddress
import socket
def wrap_result(queue):
backend = Backend()
r = backend.get_listen_addr()
... | 0.286269 | 0.19546 |
from argparse import ArgumentParser
from os import listdir, mkdir
from os.path import isdir, isfile, join
import wordninja
from helpers import flatten
from nltk import word_tokenize
from tqdm import tqdm
import nemo.collections.nlp.data.text_normalization.constants as constants
# Local Constants
ENGLISH = 'en'
SUPPO... | examples/nlp/duplex_text_normalization/google_data_preprocessing.py | from argparse import ArgumentParser
from os import listdir, mkdir
from os.path import isdir, isfile, join
import wordninja
from helpers import flatten
from nltk import word_tokenize
from tqdm import tqdm
import nemo.collections.nlp.data.text_normalization.constants as constants
# Local Constants
ENGLISH = 'en'
SUPPO... | 0.527317 | 0.328179 |
from inspect import istraceback
import discord
from discord.ext import commands
import sys
import asyncio
from dotenv import load_dotenv
import os
import datetime
env = load_dotenv()
class CommandErrorHandler(commands.Cog):
def __init__(self, client):
self.client = client
@commands.Cog.listener()
... | bot/cogs/utils/handler.py | from inspect import istraceback
import discord
from discord.ext import commands
import sys
import asyncio
from dotenv import load_dotenv
import os
import datetime
env = load_dotenv()
class CommandErrorHandler(commands.Cog):
def __init__(self, client):
self.client = client
@commands.Cog.listener()
... | 0.348202 | 0.049959 |
import os
import sys
import logging
import boto3
import botocore.exceptions
import json
import requests
logging.basicConfig()
logging.captureWarnings(True)
class DeployIRCHooky(object):
def __init__(self):
self.log = logging.getLogger("irchooky")
self.log.setLevel(logging.DEBUG)
def validat... | scripts/deploy.py | import os
import sys
import logging
import boto3
import botocore.exceptions
import json
import requests
logging.basicConfig()
logging.captureWarnings(True)
class DeployIRCHooky(object):
def __init__(self):
self.log = logging.getLogger("irchooky")
self.log.setLevel(logging.DEBUG)
def validat... | 0.202601 | 0.051606 |
from pago.solver.branch import Branch
from pago.solver.hub import Hub
from pago.solver.solver import Solver
from pago.spmodule.pipe import Pipe
from pago.property.dry_air import dry_air
def test_solver(solve=True):
# create modules
pp1 = Pipe('pp1',L=2.0,D=0.01,LeD=300.,fluid=dry_air)
pp2 = Pipe('pp2',L=2.... | examples/flow_control.py | from pago.solver.branch import Branch
from pago.solver.hub import Hub
from pago.solver.solver import Solver
from pago.spmodule.pipe import Pipe
from pago.property.dry_air import dry_air
def test_solver(solve=True):
# create modules
pp1 = Pipe('pp1',L=2.0,D=0.01,LeD=300.,fluid=dry_air)
pp2 = Pipe('pp2',L=2.... | 0.605799 | 0.402275 |
import json
import time
from sqlalchemy import asc
from anchore_engine import db
from anchore_engine.db import QueueItem
def add(queueId, userId, dataId, data, tries, max_tries, session=None):
if not session:
session = db.Session
our_result = session.query(QueueItem).filter_by(queueId=queueId, user... | anchore_engine/db/db_queues.py | import json
import time
from sqlalchemy import asc
from anchore_engine import db
from anchore_engine.db import QueueItem
def add(queueId, userId, dataId, data, tries, max_tries, session=None):
if not session:
session = db.Session
our_result = session.query(QueueItem).filter_by(queueId=queueId, user... | 0.174797 | 0.080466 |
__all__ = ['add_dataset_parser_arguments', 'batch_fn', 'get_train_data_source', 'get_val_data_source',
'num_training_samples']
import numpy as np
import mxnet as mx
from mxnet import gluon
from mxnet.gluon import Block
from mxnet.gluon.data.vision import transforms
num_training_samples = 50000
def add_d... | gluon/cifar.py | __all__ = ['add_dataset_parser_arguments', 'batch_fn', 'get_train_data_source', 'get_val_data_source',
'num_training_samples']
import numpy as np
import mxnet as mx
from mxnet import gluon
from mxnet.gluon import Block
from mxnet.gluon.data.vision import transforms
num_training_samples = 50000
def add_d... | 0.823115 | 0.349339 |
from tkinter import Tk
from tkinter.filedialog import askopenfilename, asksaveasfilename
from joblib import Parallel, delayed
from unknown_encoding import *
import re
import dns.resolver
import smtplib
def main():
print("Program: Email Ping")
print("Release: 1.1.1")
print("Date: 2019-09-23")
print("Au... | main_multithreading.py | from tkinter import Tk
from tkinter.filedialog import askopenfilename, asksaveasfilename
from joblib import Parallel, delayed
from unknown_encoding import *
import re
import dns.resolver
import smtplib
def main():
print("Program: Email Ping")
print("Release: 1.1.1")
print("Date: 2019-09-23")
print("Au... | 0.2676 | 0.1532 |
import importlib
from typing import Any
import collections
import random
import cv2
# Data
import numpy as np
# Omegaconf
from omegaconf import OmegaConf
# torch
import torch
# Torchvision
import torchvision.transforms as transforms
def get_cfg():
"""Get cfg object, with the preloaded
configs.
"""
... | utils/utils.py | import importlib
from typing import Any
import collections
import random
import cv2
# Data
import numpy as np
# Omegaconf
from omegaconf import OmegaConf
# torch
import torch
# Torchvision
import torchvision.transforms as transforms
def get_cfg():
"""Get cfg object, with the preloaded
configs.
"""
... | 0.88573 | 0.322326 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy a... | caffe2/python/operator_test/reduce_ops_test.py |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from caffe2.python import core, workspace
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy a... | 0.778102 | 0.507873 |
import pytest
from sokannonser.settings import OCCUPATION, OCCUPATION_GROUP, OCCUPATION_FIELD, MUNICIPALITY
from tests.test_resources.concept_ids import occupation, occupation_group, occupation_field, concept_ids_geo as geo
from tests.test_resources.helper import get_total
from tests.test_resources.settings import NUM... | tests/api_tests/search/test_remote_work_with_other_params.py | import pytest
from sokannonser.settings import OCCUPATION, OCCUPATION_GROUP, OCCUPATION_FIELD, MUNICIPALITY
from tests.test_resources.concept_ids import occupation, occupation_group, occupation_field, concept_ids_geo as geo
from tests.test_resources.helper import get_total
from tests.test_resources.settings import NUM... | 0.454956 | 0.342737 |
import os
import tensorflow as tf
from config import cfg
class Model(object):
def __init__(self, img_channels=3, num_label=2, call_type='training'):
'''
Args:
img_channels: Integer, the channels of input.
num_label: Integer, the category number.
'''
self.bat... | code/model.py | import os
import tensorflow as tf
from config import cfg
class Model(object):
def __init__(self, img_channels=3, num_label=2, call_type='training'):
'''
Args:
img_channels: Integer, the channels of input.
num_label: Integer, the category number.
'''
self.bat... | 0.795499 | 0.184915 |
import os
import sys
import datetime
from pathlib import Path
from gather_build_data import Build, Sync, get_username
from calculate_statistics import summary_statistics
def deduplicate(builds):
return list(set(builds))
def gather_builds_from(f):
all_builds = []
for line in f:
try:
... | process_to_csv.py | import os
import sys
import datetime
from pathlib import Path
from gather_build_data import Build, Sync, get_username
from calculate_statistics import summary_statistics
def deduplicate(builds):
return list(set(builds))
def gather_builds_from(f):
all_builds = []
for line in f:
try:
... | 0.250271 | 0.110088 |
from typing import List
from requests.auth import HTTPBasicAuth
from shared.db.functions import DatabaseFunctions
from shared.logger.logging_config import logger
from shared.models.feature_store_models import Feature, FeatureSet
from ...rest_api import crud
from ..fixtures.conftest import APP, get_my_session, overri... | feature_store/src/test/tests/test_deploy_feature_set.py | from typing import List
from requests.auth import HTTPBasicAuth
from shared.db.functions import DatabaseFunctions
from shared.logger.logging_config import logger
from shared.models.feature_store_models import Feature, FeatureSet
from ...rest_api import crud
from ..fixtures.conftest import APP, get_my_session, overri... | 0.685739 | 0.334589 |
from . import db
from werkzeug.security import generate_password_hash,check_password_hash
from flask_login import UserMixin
from . import login_manager
from datetime import datetime
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(UserMixin,db.Model):
__t... | app/models.py | from . import db
from werkzeug.security import generate_password_hash,check_password_hash
from flask_login import UserMixin
from . import login_manager
from datetime import datetime
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
class User(UserMixin,db.Model):
__t... | 0.341143 | 0.05715 |
import os
import pytest
from .files import build_files
from .textwrap import DALS
futures = pytest.importorskip('concurrent.futures')
importlib = pytest.importorskip('importlib')
class BuildBackendBase(object):
def __init__(self, cwd=None, env={}, backend_name='setuptools.build_meta'):
self.cwd = cwd
... | setuptools-37.0.0/setuptools/tests/test_build_meta.py | import os
import pytest
from .files import build_files
from .textwrap import DALS
futures = pytest.importorskip('concurrent.futures')
importlib = pytest.importorskip('importlib')
class BuildBackendBase(object):
def __init__(self, cwd=None, env={}, backend_name='setuptools.build_meta'):
self.cwd = cwd
... | 0.566858 | 0.136666 |
import copy
import math
from dataclasses import dataclass, fields
from typing import Optional, Tuple, List, NamedTuple, Union, Iterable, Dict
from pathlib import Path
import pickle
from enum import Enum
import functools
from collections import Counter
import logging
import pandas as pd
import numpy as np
from .physio... | util/datasets/sliding_window.py | import copy
import math
from dataclasses import dataclass, fields
from typing import Optional, Tuple, List, NamedTuple, Union, Iterable, Dict
from pathlib import Path
import pickle
from enum import Enum
import functools
from collections import Counter
import logging
import pandas as pd
import numpy as np
from .physio... | 0.860677 | 0.426919 |
from django.shortcuts import render
from rest_framework.views import APIView
from accounts.models import Employe
from django.http import HttpResponse
from rest_framework.response import Response
from rest_framework import status
import jwt
from .auth import authrize_user
import json
import traceback
import xlsxwriter
f... | legendables/views.py | from django.shortcuts import render
from rest_framework.views import APIView
from accounts.models import Employe
from django.http import HttpResponse
from rest_framework.response import Response
from rest_framework import status
import jwt
from .auth import authrize_user
import json
import traceback
import xlsxwriter
f... | 0.337313 | 0.077308 |
import json
from netests.constants import NOT_SET
from netests.protocols.facts import Facts
def _arista_facts_api_converter(
hostname: str(),
cmd_output,
options={}
) -> Facts:
interfaces_lst = list()
if 'result' in cmd_output.keys():
if not isinstance(cmd_output.get('result')[1], dict):... | netests/converters/facts/arista/api.py |
import json
from netests.constants import NOT_SET
from netests.protocols.facts import Facts
def _arista_facts_api_converter(
hostname: str(),
cmd_output,
options={}
) -> Facts:
interfaces_lst = list()
if 'result' in cmd_output.keys():
if not isinstance(cmd_output.get('result')[1], dict):... | 0.31279 | 0.053157 |
import socket
import netaddr
import collections
from terminaltables import SingleTable
import evillimiter.networking.utils as netutils
from .menu import CommandMenu
from evillimiter.console.io import IO
from evillimiter.console.banner import get_main_banner
from evillimiter.networking.host import Host
from evillimiter... | evillimiter/menus/main_menu.py | import socket
import netaddr
import collections
from terminaltables import SingleTable
import evillimiter.networking.utils as netutils
from .menu import CommandMenu
from evillimiter.console.io import IO
from evillimiter.console.banner import get_main_banner
from evillimiter.networking.host import Host
from evillimiter... | 0.295535 | 0.056731 |
import pytest
from pinakes.main.approval.models import Request, Action
from pinakes.main.approval.services.create_action import (
CreateAction,
)
from pinakes.main.approval.tests.factories import (
RequestFactory,
)
from pinakes.main.approval.services.update_request import (
UpdateRequest,
)
from pinakes.... | pinakes/main/approval/tests/services/test_create_action.py |
import pytest
from pinakes.main.approval.models import Request, Action
from pinakes.main.approval.services.create_action import (
CreateAction,
)
from pinakes.main.approval.tests.factories import (
RequestFactory,
)
from pinakes.main.approval.services.update_request import (
UpdateRequest,
)
from pinakes.... | 0.55254 | 0.297126 |
from __future__ import absolute_import
import os
import copy
from collections import defaultdict
from segeval.data.tsv import input_linear_mass_tsv
from segeval.data.jsonutils import input_linear_mass_json
from segeval.format import BoundaryFormat
FILETYPE_TSV = 'tsv'
FILETYPE_JSON = 'json'
EXT = 'ext'
FNC = 'fnc'
FI... | segeval/data/__init__.py | from __future__ import absolute_import
import os
import copy
from collections import defaultdict
from segeval.data.tsv import input_linear_mass_tsv
from segeval.data.jsonutils import input_linear_mass_json
from segeval.format import BoundaryFormat
FILETYPE_TSV = 'tsv'
FILETYPE_JSON = 'json'
EXT = 'ext'
FNC = 'fnc'
FI... | 0.638497 | 0.179099 |
from pygame.mouse import get_pressed as get_buttonspressed
from pygame.key import get_pressed as get_keyspressed
from event import get, fullname, keycode, buttoncode
from typing import Sequence, Union, Tuple
actions = {}
"""actions = {
'action_name': {
'event1event2' : {
'event1': [
... | rurina5/new/input/map.py | from pygame.mouse import get_pressed as get_buttonspressed
from pygame.key import get_pressed as get_keyspressed
from event import get, fullname, keycode, buttoncode
from typing import Sequence, Union, Tuple
actions = {}
"""actions = {
'action_name': {
'event1event2' : {
'event1': [
... | 0.749637 | 0.322193 |
from sys import path
path.append("/flash/userapp")
#20200727 DPM Import Mpu6050 at first, because of its size.
from uvacbot.sensor.mpu6050 import Mpu6050
from uvacbot.io.esp8266 import Esp8266
from uvacbot.robot import Robot
from pyb import Pin
from uvacbot.activities.random_motion import RandomMotionActivity
from uv... | embedded/uvacbot/main.py | from sys import path
path.append("/flash/userapp")
#20200727 DPM Import Mpu6050 at first, because of its size.
from uvacbot.sensor.mpu6050 import Mpu6050
from uvacbot.io.esp8266 import Esp8266
from uvacbot.robot import Robot
from pyb import Pin
from uvacbot.activities.random_motion import RandomMotionActivity
from uv... | 0.147156 | 0.191196 |
from contacts.BuddyListElement import BuddyListElement
from common.Buddy import fileinfo
from util import strip_html,Storage #@UnresolvedImport
import common
import jabber
from common.actions import action #@UnresolvedImport
from common.Buddy import get_status_orb
GTALK = 'gtalk'
JABBER = 'jabber'
status... | digsby/src/jabber/JabberResource.py | from contacts.BuddyListElement import BuddyListElement
from common.Buddy import fileinfo
from util import strip_html,Storage #@UnresolvedImport
import common
import jabber
from common.actions import action #@UnresolvedImport
from common.Buddy import get_status_orb
GTALK = 'gtalk'
JABBER = 'jabber'
status... | 0.364099 | 0.044723 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
from models.layers import layers
class LayersTest(tf.test.TestCase):
def testSquashRankSix(self):
"""
Checks the value and shape of the squash... | models/layers/layers_test.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import tensorflow as tf
from models.layers import layers
class LayersTest(tf.test.TestCase):
def testSquashRankSix(self):
"""
Checks the value and shape of the squash... | 0.897035 | 0.558207 |
from peewee import *
from . import base, definitions, hru_parm_db, lum, ops, structural, decision_table, basin, climate, soils, init, change
from fileio import hru_parm_db as files_parmdb
from fileio import lum as files_lum
from fileio import ops as files_ops
from fileio import structural as files_str
from fileio impor... | editor_api/database/datasets/setup.py | from peewee import *
from . import base, definitions, hru_parm_db, lum, ops, structural, decision_table, basin, climate, soils, init, change
from fileio import hru_parm_db as files_parmdb
from fileio import lum as files_lum
from fileio import ops as files_ops
from fileio import structural as files_str
from fileio impor... | 0.352982 | 0.126003 |
import os
try:
import fool
except:
print("缺少fool工具")
import math
import pandas as pd
import numpy as np
import random
import tensorflow as tf
import re
np.random.seed(1)
def add2vocab(path,word):
vocab_data=pd.read_csv(path)
idx_to_chars=list(vocab_data['vocabulary'])+[word]
df_data = pd... | LOADDATA.py | import os
try:
import fool
except:
print("缺少fool工具")
import math
import pandas as pd
import numpy as np
import random
import tensorflow as tf
import re
np.random.seed(1)
def add2vocab(path,word):
vocab_data=pd.read_csv(path)
idx_to_chars=list(vocab_data['vocabulary'])+[word]
df_data = pd... | 0.044921 | 0.210138 |
import re
import datetime
class ValidationException(Exception):
pass
class BaseField(object):
def __init__(self, *args, **kwargs):
for (k, v) in kwargs.iteritems():
setattr(self, k, v)
self.value = getattr(self, 'value', None)
self.required = getattr(self, 'required', Fals... | web/timeline/fields.py | import re
import datetime
class ValidationException(Exception):
pass
class BaseField(object):
def __init__(self, *args, **kwargs):
for (k, v) in kwargs.iteritems():
setattr(self, k, v)
self.value = getattr(self, 'value', None)
self.required = getattr(self, 'required', Fals... | 0.485356 | 0.142769 |
import os
import gc
import unittest
import time
import socket
import psutil
from psutil._compat import PY3, callable, xrange
from test_psutil import reap_children, skipUnless, skipIf, supports_ipv6, \
POSIX, LINUX, WINDOWS, OSX, BSD
LOOPS = 1000
TOLERANCE = 4096
class Base(unittest.TestCase)... | Script/psutil-0.5.0/test/test_memory_leaks.py | import os
import gc
import unittest
import time
import socket
import psutil
from psutil._compat import PY3, callable, xrange
from test_psutil import reap_children, skipUnless, skipIf, supports_ipv6, \
POSIX, LINUX, WINDOWS, OSX, BSD
LOOPS = 1000
TOLERANCE = 4096
class Base(unittest.TestCase)... | 0.4856 | 0.201204 |
import duckdb
import pytest
import tempfile
import numpy
import pandas
import datetime
try:
import pyarrow as pa
can_run = True
except:
can_run = False
def parquet_types_test(type_list):
temp = tempfile.NamedTemporaryFile()
temp_name = temp.name
for type_pair in type_list:
value_list = ... | tools/pythonpkg/tests/fast/arrow/parquet_write_roundtrip.py | import duckdb
import pytest
import tempfile
import numpy
import pandas
import datetime
try:
import pyarrow as pa
can_run = True
except:
can_run = False
def parquet_types_test(type_list):
temp = tempfile.NamedTemporaryFile()
temp_name = temp.name
for type_pair in type_list:
value_list = ... | 0.304869 | 0.221582 |
from django.db import models
from ckeditor.fields import RichTextField
import apps.common.functions as commonfunctions
from apps.objects.models import Node, Page as BasePage
from apps.pages.help import PageHelp
from apps.taxonomy.models import Location, SchoolType, OpenEnrollmentStatus, \
SchoolOption
from django.u... | apps/pages/models.py | from django.db import models
from ckeditor.fields import RichTextField
import apps.common.functions as commonfunctions
from apps.objects.models import Node, Page as BasePage
from apps.pages.help import PageHelp
from apps.taxonomy.models import Location, SchoolType, OpenEnrollmentStatus, \
SchoolOption
from django.u... | 0.429669 | 0.146301 |
import discord
from discord.ext import commands
from utils.configManager import BotConfig
class HelpCommand(commands.HelpCommand):
def __init__(self):
super().__init__()
self.botConfig = BotConfig()
async def send_bot_help(self, mapping):
helpMessage = discord.Embed(
title... | utils/help.py | import discord
from discord.ext import commands
from utils.configManager import BotConfig
class HelpCommand(commands.HelpCommand):
def __init__(self):
super().__init__()
self.botConfig = BotConfig()
async def send_bot_help(self, mapping):
helpMessage = discord.Embed(
title... | 0.348091 | 0.0704 |
from enum import Enum, auto
class ProtonMaterials(Enum):
HYDROGEN = auto()
HELIUM = auto()
BERYLLIUM = auto()
AMORPHOUS_CARBON = auto()
NITROGEN = auto()
OXYGEN = auto()
NEON = auto()
ALUMINUM = auto()
SILICON = auto()
ARGON = auto()
TITANIUM = auto()
IRON = auto()
... | star/proton_materials.py | from enum import Enum, auto
class ProtonMaterials(Enum):
HYDROGEN = auto()
HELIUM = auto()
BERYLLIUM = auto()
AMORPHOUS_CARBON = auto()
NITROGEN = auto()
OXYGEN = auto()
NEON = auto()
ALUMINUM = auto()
SILICON = auto()
ARGON = auto()
TITANIUM = auto()
IRON = auto()
... | 0.392453 | 0.061115 |
import os.path
import struct
import sys
def unpack_swf(orig_path, out_folder, filename):
"""Create .swf file and DDS textures from packed file
Args:
orig_path: source file (magic is FXGF)
out_folder: where to place files; ended with /
filename: how to name .swf file
"""
... | tools/swf_converter/UnpackFXFG.py | import os.path
import struct
import sys
def unpack_swf(orig_path, out_folder, filename):
"""Create .swf file and DDS textures from packed file
Args:
orig_path: source file (magic is FXGF)
out_folder: where to place files; ended with /
filename: how to name .swf file
"""
... | 0.074009 | 0.146423 |
import unittest
from nose.tools import assert_equals, assert_true, assert_false
from robotide.robotapi import TestCaseFile
from robotide.controller import Project
from robotide.controller.macrocontrollers import KEYWORD_NAME_FIELD
from robotide.controller.commands import (
Undo, FindOccurrences, FindVariabl... | utest/controller/test_occurrences.py | import unittest
from nose.tools import assert_equals, assert_true, assert_false
from robotide.robotapi import TestCaseFile
from robotide.controller import Project
from robotide.controller.macrocontrollers import KEYWORD_NAME_FIELD
from robotide.controller.commands import (
Undo, FindOccurrences, FindVariabl... | 0.358241 | 0.243137 |
import pytest
import licenraptor
from licenraptor import base
from licenraptor.licenses import MITLicense
KEYS = ('rpm', 'name', 'python', 'url')
class TestRegisterFind(object):
'''
Test register() and find()
'''
@classmethod
def teardown_class(cls):
del licenraptor.core._db['FOO']
... | tests/test_db.py | import pytest
import licenraptor
from licenraptor import base
from licenraptor.licenses import MITLicense
KEYS = ('rpm', 'name', 'python', 'url')
class TestRegisterFind(object):
'''
Test register() and find()
'''
@classmethod
def teardown_class(cls):
del licenraptor.core._db['FOO']
... | 0.456652 | 0.494873 |
import asyncio
import logging
import queue
import threading
import time
from bleak import BleakClient, discover
from pylgbst.comms import Connection, MOVE_HUB_HW_UUID_CHAR
log = logging.getLogger('comms-bleak')
# Queues to handle request / responses. Acts as a buffer between API and async BLE driver
resp_queue = qu... | pylgbst/comms/cbleak.py | import asyncio
import logging
import queue
import threading
import time
from bleak import BleakClient, discover
from pylgbst.comms import Connection, MOVE_HUB_HW_UUID_CHAR
log = logging.getLogger('comms-bleak')
# Queues to handle request / responses. Acts as a buffer between API and async BLE driver
resp_queue = qu... | 0.743075 | 0.110519 |
import os
import subprocess
# In python 3, raw_input has been renamed to input
try:
input = raw_input
except NameError:
pass
import requirements
def get_key(requirement):
key = requirement.name
if not key:
key = requirement.path
return key
class RequirementsFile(object):
def __ini... | pipwrap/command.py | import os
import subprocess
# In python 3, raw_input has been renamed to input
try:
input = raw_input
except NameError:
pass
import requirements
def get_key(requirement):
key = requirement.name
if not key:
key = requirement.path
return key
class RequirementsFile(object):
def __ini... | 0.365796 | 0.060004 |
"""Tests for the dask_cassandra_loader module.
"""
import unittest
import pytest
import pandas as pd
from cassandra.cluster import Cluster
from cassandra.protocol import NumpyProtocolHandler
from cassandra.auth import PlainTextAuthProvider
from dask_cassandra_loader import PagedResultHandler, Loader
from dask.distribu... | tests/test_dask_cassandra_loader.py | """Tests for the dask_cassandra_loader module.
"""
import unittest
import pytest
import pandas as pd
from cassandra.cluster import Cluster
from cassandra.protocol import NumpyProtocolHandler
from cassandra.auth import PlainTextAuthProvider
from dask_cassandra_loader import PagedResultHandler, Loader
from dask.distribu... | 0.535584 | 0.25558 |
import time
import paddle
import numbers
import numpy as np
from multiprocessing import Manager
from paddle.distributed import ParallelEnv
from paddle.io import DistributedBatchSampler
from utils.registry import Registry
DATASETS = Registry("DATASETS")
class DictDataset(paddle.io.Dataset):
def __init__(self, d... | datasets/builder.py |
import time
import paddle
import numbers
import numpy as np
from multiprocessing import Manager
from paddle.distributed import ParallelEnv
from paddle.io import DistributedBatchSampler
from utils.registry import Registry
DATASETS = Registry("DATASETS")
class DictDataset(paddle.io.Dataset):
def __init__(self, d... | 0.482673 | 0.138899 |
import unittest
import mock
import logging
import json
import requests
import esgfpid.solr.solr
# Logging:
LOGGER = logging.getLogger(__name__)
LOGGER.addHandler(logging.NullHandler())
# Test resources:
from tests.resources.IGNORE.TESTVALUES_IGNORE import TESTVALUES_SOLR
SOLR_URL_HTTP = 'http://'+TESTVALUES_SOLR['sol... | tests/testcases/integration/integration_solr_server_tests.py | import unittest
import mock
import logging
import json
import requests
import esgfpid.solr.solr
# Logging:
LOGGER = logging.getLogger(__name__)
LOGGER.addHandler(logging.NullHandler())
# Test resources:
from tests.resources.IGNORE.TESTVALUES_IGNORE import TESTVALUES_SOLR
SOLR_URL_HTTP = 'http://'+TESTVALUES_SOLR['sol... | 0.265785 | 0.270766 |
import json
import os
import shutil
import tempfile
import time
import unittest
from datetime import datetime
from typing import Optional
from unittest.mock import patch
from torchelastic.tsm.driver.api import (
Application,
AppState,
Container,
DescribeAppResponse,
Role,
RunConfig,
is_term... | torchelastic/tsm/driver/test/local_scheduler_test.py | import json
import os
import shutil
import tempfile
import time
import unittest
from datetime import datetime
from typing import Optional
from unittest.mock import patch
from torchelastic.tsm.driver.api import (
Application,
AppState,
Container,
DescribeAppResponse,
Role,
RunConfig,
is_term... | 0.617051 | 0.229061 |
import sympy as sp
from sympy.utilities import codegen
dPOS_IDX = (0)
dVEL_IDX = (dPOS_IDX + 3)
dTHETA_IDX = (dVEL_IDX + 3)
dAB_IDX = (dTHETA_IDX + 3)
dGB_IDX = (dAB_IDX + 3)
dSTATE_SIZE = (dGB_IDX + 3)
outfile_name = '../include/unrolledFPFt.h'
def make_matrix(name, rows, cols):
M = sp.zeros(rows, cols)
fo... | tools/codegen.py | import sympy as sp
from sympy.utilities import codegen
dPOS_IDX = (0)
dVEL_IDX = (dPOS_IDX + 3)
dTHETA_IDX = (dVEL_IDX + 3)
dAB_IDX = (dTHETA_IDX + 3)
dGB_IDX = (dAB_IDX + 3)
dSTATE_SIZE = (dGB_IDX + 3)
outfile_name = '../include/unrolledFPFt.h'
def make_matrix(name, rows, cols):
M = sp.zeros(rows, cols)
fo... | 0.279828 | 0.365485 |
import unittest
import uuid
import rangevoting
class TestVote(rangevoting.Vote):
def __init__(self, elector='<NAME>', opinions=None):
if opinions is None:
opinions = {'a': 1, 'b': -2}
super().__init__(elector, opinions)
class VoteTestCase(unittest.TestCase):
def test_has_elector... | tests/test_rangevoting.py | import unittest
import uuid
import rangevoting
class TestVote(rangevoting.Vote):
def __init__(self, elector='<NAME>', opinions=None):
if opinions is None:
opinions = {'a': 1, 'b': -2}
super().__init__(elector, opinions)
class VoteTestCase(unittest.TestCase):
def test_has_elector... | 0.631026 | 0.582729 |
import rospy
import genpy
import pymongo
import json
import copy
from bson import json_util
from bson.objectid import ObjectId
<<<<<<< HEAD
=======
>>>>>>> 51ecc3540900cfe208d8c2ca1ecaf2184d407ca7
def msg_to_document(msg):
msg_dict = {}
slot_types = []
<<<<<<< HEAD
if hasattr(msg, '_slot_types'):
=======... | tms_db/tms_db_manager/src/tms_db_manager/tms_db_util.py | import rospy
import genpy
import pymongo
import json
import copy
from bson import json_util
from bson.objectid import ObjectId
<<<<<<< HEAD
=======
>>>>>>> 51ecc3540900cfe208d8c2ca1ecaf2184d407ca7
def msg_to_document(msg):
msg_dict = {}
slot_types = []
<<<<<<< HEAD
if hasattr(msg, '_slot_types'):
=======... | 0.149345 | 0.045756 |
from typing import List
import grpc
from google.protobuf import timestamp_pb2
from python_pachyderm.errors import AuthServiceNotActivated
from python_pachyderm.proto.v2.enterprise import enterprise_pb2
from python_pachyderm.proto.v2.license import license_pb2, license_pb2_grpc
class LicenseMixin:
"""A mixin for... | src/python_pachyderm/mixin/license.py | from typing import List
import grpc
from google.protobuf import timestamp_pb2
from python_pachyderm.errors import AuthServiceNotActivated
from python_pachyderm.proto.v2.enterprise import enterprise_pb2
from python_pachyderm.proto.v2.license import license_pb2, license_pb2_grpc
class LicenseMixin:
"""A mixin for... | 0.919683 | 0.298389 |
from os import path
import sys, time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import json
from utils import *
from torch_geometric.data import Data
from torch_geometric.nn import GCNConv
from tqdm.auto import tqdm
EPOCHS = 100
class GraphNet(nn.Module):
def __... | src/model_build.py | from os import path
import sys, time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import json
from utils import *
from torch_geometric.data import Data
from torch_geometric.nn import GCNConv
from tqdm.auto import tqdm
EPOCHS = 100
class GraphNet(nn.Module):
def __... | 0.746878 | 0.311649 |
import regex as re
import MySQLdb as mdb
import os
import enchant
dictionary=enchant.Dict('en_US')
story_list=os.listdir("../Stories/")
#loop through list here
for story in story_list:
if(story!=".DS_Store"):
print("\n"+story,end=' ')
url="../Stories/"+story+"/"
con = mdb.connect('localhost'... | data_cleaner.py | import regex as re
import MySQLdb as mdb
import os
import enchant
dictionary=enchant.Dict('en_US')
story_list=os.listdir("../Stories/")
#loop through list here
for story in story_list:
if(story!=".DS_Store"):
print("\n"+story,end=' ')
url="../Stories/"+story+"/"
con = mdb.connect('localhost'... | 0.047536 | 0.076167 |
R = '\033[31m' # Red
N = '\033[1;37m' # White
B = '\033[1;34m' #Blue
import os
import sys
from time import sleep
host = sys.argv[1]
port = int(sys.argv[2])
import socket
import sys
from time import sleep
print(""+B+"[*]"+N+" Listeing on port "+str(port))
sleep(1)
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)... | modules/android/modules/listener.py | R = '\033[31m' # Red
N = '\033[1;37m' # White
B = '\033[1;34m' #Blue
import os
import sys
from time import sleep
host = sys.argv[1]
port = int(sys.argv[2])
import socket
import sys
from time import sleep
print(""+B+"[*]"+N+" Listeing on port "+str(port))
sleep(1)
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)... | 0.050202 | 0.057865 |
import json
import os
import pathlib
import time
from typing import Optional, List, Set, Dict, Union
import git
from lab import logger, monit
from lab.internal.configs import Configs, ConfigProcessor
from lab.internal.experiment.experiment_run import Run
from lab.internal.lab import lab_singleton
from lab.internal.lo... | lab/internal/experiment/__init__.py | import json
import os
import pathlib
import time
from typing import Optional, List, Set, Dict, Union
import git
from lab import logger, monit
from lab.internal.configs import Configs, ConfigProcessor
from lab.internal.experiment.experiment_run import Run
from lab.internal.lab import lab_singleton
from lab.internal.lo... | 0.725162 | 0.29294 |
from selenium import webdriver
from bs4 import BeautifulSoup
# PhantomJS 无法完全解释，某些项无法获取
#driver = webdriver.PhantomJS(executable_path = r'H:/PythonModule/phantomjs/phantomjs-2.1.1-windows/bin/phantomjs.exe')
#item_keywords = 'Bestfy(TM) 2Pack 10FT Nylon Braided Lightning Cable'
def get_product_page(search_keywords,... | record_product_information/GetProductRank.py |
from selenium import webdriver
from bs4 import BeautifulSoup
# PhantomJS 无法完全解释，某些项无法获取
#driver = webdriver.PhantomJS(executable_path = r'H:/PythonModule/phantomjs/phantomjs-2.1.1-windows/bin/phantomjs.exe')
#item_keywords = 'Bestfy(TM) 2Pack 10FT Nylon Braided Lightning Cable'
def get_product_page(search_keywords,... | 0.402862 | 0.068537 |
import json
import os
import threading
import unittest
from http.server import BaseHTTPRequestHandler, HTTPServer
from test.support import EnvironmentVarGuard
from urllib.parse import urlparse
from kaggle_web_client import (KaggleWebClient,
_KAGGLE_URL_BASE_ENV_VAR_NAME,
... | tests/test_datasets.py | import json
import os
import threading
import unittest
from http.server import BaseHTTPRequestHandler, HTTPServer
from test.support import EnvironmentVarGuard
from urllib.parse import urlparse
from kaggle_web_client import (KaggleWebClient,
_KAGGLE_URL_BASE_ENV_VAR_NAME,
... | 0.335895 | 0.134719 |
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from tensorflowed.models import residual_nets
from tensorflowed.data import Dataset, TrainTestDatasets
from tensorflowed import learn
from tensorflowed import utils
import numpy as np
MNIST_PATH = '/home/cesar/Dropbox/programming/learni... | examples/mnist.py | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from tensorflowed.models import residual_nets
from tensorflowed.data import Dataset, TrainTestDatasets
from tensorflowed import learn
from tensorflowed import utils
import numpy as np
MNIST_PATH = '/home/cesar/Dropbox/programming/learni... | 0.668123 | 0.606324 |
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import numpy as np
from torchtext.datasets import Multi30k
from torchtext.data import Field, BucketIterator
import spacy
import random
import math
import time
import en_core_web_sm
import nl_core_news_sm
SEED = 99
np.ran... | Attention/attn.py | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import numpy as np
from torchtext.datasets import Multi30k
from torchtext.data import Field, BucketIterator
import spacy
import random
import math
import time
import en_core_web_sm
import nl_core_news_sm
SEED = 99
np.ran... | 0.924492 | 0.348562 |
from reportlab.lib.testutils import setOutDir,SecureTestCase, GlobDirectoryWalker, outputfile, printLocation
setOutDir(__name__)
import os, sys, glob, string, re, unittest
from types import ModuleType, ClassType, MethodType, FunctionType
import reportlab
def getModuleObjects(folder, rootName, typ, pattern='*.py'... | tests/test_docstrings.py | from reportlab.lib.testutils import setOutDir,SecureTestCase, GlobDirectoryWalker, outputfile, printLocation
setOutDir(__name__)
import os, sys, glob, string, re, unittest
from types import ModuleType, ClassType, MethodType, FunctionType
import reportlab
def getModuleObjects(folder, rootName, typ, pattern='*.py'... | 0.158989 | 0.133924 |
from django.core.exceptions import NON_FIELD_ERRORS
from django.forms.forms import BaseForm
from django.forms.widgets import MediaDefiningClass
from django.forms.utils import ErrorDict, ErrorList, RenderableMixin
from django.utils.datastructures import MultiValueDict
from formset.exceptions import FormCollectionError
... | formset/collection.py | from django.core.exceptions import NON_FIELD_ERRORS
from django.forms.forms import BaseForm
from django.forms.widgets import MediaDefiningClass
from django.forms.utils import ErrorDict, ErrorList, RenderableMixin
from django.utils.datastructures import MultiValueDict
from formset.exceptions import FormCollectionError
... | 0.684791 | 0.112162 |
from keras.layers import Input, Dense, Dropout, Flatten, merge, Reshape
from keras.layers import Convolution1D, MaxPooling1D
from keras.models import Model
from keras.layers import Activation, Dropout, Embedding,Bidirectional, Highway
from keras.layers import LSTM,TimeDistributed
from keras.layers.normalization import ... | model/clstm_vec.py | from keras.layers import Input, Dense, Dropout, Flatten, merge, Reshape
from keras.layers import Convolution1D, MaxPooling1D
from keras.models import Model
from keras.layers import Activation, Dropout, Embedding,Bidirectional, Highway
from keras.layers import LSTM,TimeDistributed
from keras.layers.normalization import ... | 0.796372 | 0.353498 |
def converter_json_line_protocol(json):
# Converter JSON em InfluxDB v2.0 line protocol
# Começar a linha com a medida (measurement)
line_protocol = json["medida"]
# Na sequência, adicionar os marcadores (quando houver)
if "marcadores" in json:
# Primeiro, processar "marcadores" como uma l... | servidor_converter_json_line_protocol.py | def converter_json_line_protocol(json):
# Converter JSON em InfluxDB v2.0 line protocol
# Começar a linha com a medida (measurement)
line_protocol = json["medida"]
# Na sequência, adicionar os marcadores (quando houver)
if "marcadores" in json:
# Primeiro, processar "marcadores" como uma l... | 0.386416 | 0.370681 |
import requests
import threading
from kafka import KafkaProducer
API_DICT = {
"country_level": {
"url": "https://api.covidactnow.org/v2/states.timeseries.json",
"params": {'apiKey': '<KEY>'},
},
"state_level": {
"url": "https://api.covidactnow.org/v2/state/{}.timeseries.json",
... | backend/kafka_util/producer.py | import requests
import threading
from kafka import KafkaProducer
API_DICT = {
"country_level": {
"url": "https://api.covidactnow.org/v2/states.timeseries.json",
"params": {'apiKey': '<KEY>'},
},
"state_level": {
"url": "https://api.covidactnow.org/v2/state/{}.timeseries.json",
... | 0.255994 | 0.139514 |
import asyncio
import logging
import time
import typing
from hat import aio
from hat.drivers import serial
from hat.drivers.iec60870.link import common
from hat.drivers.iec60870.link import endpoint
from hat.drivers.iec60870.link.connection import (ConnectionCb,
Connec... | src_py/hat/drivers/iec60870/link/unbalanced/slave.py | import asyncio
import logging
import time
import typing
from hat import aio
from hat.drivers import serial
from hat.drivers.iec60870.link import common
from hat.drivers.iec60870.link import endpoint
from hat.drivers.iec60870.link.connection import (ConnectionCb,
Connec... | 0.502686 | 0.119819 |
import json
import logging
import os
from flask import Flask, request
from cloudevents.http import from_http
from google.cloud import storage
from sendgrid import SendGridAPIClient
from sendgrid.helpers.mail import Mail
def read_config(var):
value = os.environ.get(var)
if value is None:
raise Excepti... | eventing/processing-pipelines/bigquery/notifier/python/app.py |
import json
import logging
import os
from flask import Flask, request
from cloudevents.http import from_http
from google.cloud import storage
from sendgrid import SendGridAPIClient
from sendgrid.helpers.mail import Mail
def read_config(var):
value = os.environ.get(var)
if value is None:
raise Excepti... | 0.439747 | 0.065276 |
"""Summary Operations."""
# pylint: disable=protected-access
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.ops import gen_logging_ops
from tensorflow.python.ops import summary_op_util
# go/... | tensorflow/python/ops/summary_ops.py | """Summary Operations."""
# pylint: disable=protected-access
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import ops
from tensorflow.python.ops import gen_logging_ops
from tensorflow.python.ops import summary_op_util
# go/... | 0.934828 | 0.156362 |
import torch
import torch.nn as nn
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torch.autograd import Variable
# Hyper parameters
input_size = 784
num_classes = 10
num_epochs = 5
batch_size = 100
learning_rate = 1e-3
# MNIST
train_dataset = dsets.MNIST(
root='./data',
... | tutorials/01-basics/logistic_regression/own.py | import torch
import torch.nn as nn
import torchvision.datasets as dsets
import torchvision.transforms as transforms
from torch.autograd import Variable
# Hyper parameters
input_size = 784
num_classes = 10
num_epochs = 5
batch_size = 100
learning_rate = 1e-3
# MNIST
train_dataset = dsets.MNIST(
root='./data',
... | 0.935043 | 0.704082 |