code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import nipype.pipeline.engine as pe
from nipype.interfaces import io as nio
from nipype.interfaces import ants
from nipype.interfaces import fsl
from nipype.interfaces import utility as util
from nipype.workflows.fmri.fsl.estimate import create_overlay_workflow
import numpy as np
from nipype.workflows.fmri.fsl.estima... | src/fmri_modelfits/level3_model_parameters.py | import nipype.pipeline.engine as pe
from nipype.interfaces import io as nio
from nipype.interfaces import ants
from nipype.interfaces import fsl
from nipype.interfaces import utility as util
from nipype.workflows.fmri.fsl.estimate import create_overlay_workflow
import numpy as np
from nipype.workflows.fmri.fsl.estima... | 0.355216 | 0.241026 |
from collections import defaultdict
import re
class TreeNode(object):
def __init__(self, text, offset, elements):
self.text = text
self.offset = offset
self.elements = elements
def __iter__(self):
for el in self.elements:
yield el
class TreeNode1(TreeNode):
... | src/rollit/grammar.py |
from collections import defaultdict
import re
class TreeNode(object):
def __init__(self, text, offset, elements):
self.text = text
self.offset = offset
self.elements = elements
def __iter__(self):
for el in self.elements:
yield el
class TreeNode1(TreeNode):
... | 0.893408 | 0.391988 |
import random
import string
from logging import getLogger
from django.core.cache import cache
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from django_redis import get_redis_connection
from rest_framework import generics, status
from rest_framework.permissio... | backend/ambassador/views.py | import random
import string
from logging import getLogger
from django.core.cache import cache
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from django_redis import get_redis_connection
from rest_framework import generics, status
from rest_framework.permissio... | 0.636127 | 0.088623 |
import json, re
from common.models.applogs.AppAccessLog import AppAccessLog
from common.models.applogs.AppErrLog import AppErrLog
from common.services.BaseService import BaseService
from application import db, app
from flask import request
class AppLogService(BaseService):
@staticmethod
def addErrLog(msg=None... | common/services/AppLogService.py | import json, re
from common.models.applogs.AppAccessLog import AppAccessLog
from common.models.applogs.AppErrLog import AppErrLog
from common.services.BaseService import BaseService
from application import db, app
from flask import request
class AppLogService(BaseService):
@staticmethod
def addErrLog(msg=None... | 0.251188 | 0.031292 |
import numpy as np
from sklearn.externals import joblib
import random
class Batcher:
def __init__(self,storage,data,batch_size,context_length,id2vec,vocab_size):
self.context_length = context_length
self.storage = storage
self.data = data
self.num_of_samples = int(data.shape[0])
... | src/batcher.py | import numpy as np
from sklearn.externals import joblib
import random
class Batcher:
def __init__(self,storage,data,batch_size,context_length,id2vec,vocab_size):
self.context_length = context_length
self.storage = storage
self.data = data
self.num_of_samples = int(data.shape[0])
... | 0.40251 | 0.274451 |
import os
import hashlib
from time import sleep
from pathlib import Path
from threading import Thread, RLock
import cv2
import dhash
from PIL import Image
class Extractor:
MAX_SAVE_PER_STREAM = 15
MAX_BLANK = 2
def __init__(self, class_names, ip_addresses, detector, output_dir,
workers)... | ipscraper/extraction.py | import os
import hashlib
from time import sleep
from pathlib import Path
from threading import Thread, RLock
import cv2
import dhash
from PIL import Image
class Extractor:
MAX_SAVE_PER_STREAM = 15
MAX_BLANK = 2
def __init__(self, class_names, ip_addresses, detector, output_dir,
workers)... | 0.659624 | 0.203668 |
import requests # для выполнения запросов к сайту
from lxml import html #, etry # необходимо для "расшифровки html"
from typing import Any, Optional, NoReturn
# дабы придерживаться стиля,
# указывая типы переменных (а-ля TypeScript) (жаль тут типы проверяются только ide)
def parse(title: str, author: str, p... | backend.py | import requests # для выполнения запросов к сайту
from lxml import html #, etry # необходимо для "расшифровки html"
from typing import Any, Optional, NoReturn
# дабы придерживаться стиля,
# указывая типы переменных (а-ля TypeScript) (жаль тут типы проверяются только ide)
def parse(title: str, author: str, p... | 0.343672 | 0.251941 |
import os
import subprocess
import zipfile
import logging
logger = logging.getLogger(__name__)
def save_git_info(output_dir, repo_dir=None):
os.makedirs(output_dir, exist_ok=True)
if repo_dir is None:
repo_dir = os.getcwd()
# Get to the top level git dir
process = subprocess.run("git rev-par... | baselines/src/utils/reproducibility.py | import os
import subprocess
import zipfile
import logging
logger = logging.getLogger(__name__)
def save_git_info(output_dir, repo_dir=None):
os.makedirs(output_dir, exist_ok=True)
if repo_dir is None:
repo_dir = os.getcwd()
# Get to the top level git dir
process = subprocess.run("git rev-par... | 0.303525 | 0.090574 |
from django.shortcuts import render
from rest_framework import generics
from django.contrib.auth.models import User
from .models import Category, Book, Product, Cart
from .serializers import RegistrationSerializer, CategorySerializer, BookSerializer, ProductSerializer, UserSerializer, CartSerializer
from rest_framework... | ApiApp/views.py | from django.shortcuts import render
from rest_framework import generics
from django.contrib.auth.models import User
from .models import Category, Book, Product, Cart
from .serializers import RegistrationSerializer, CategorySerializer, BookSerializer, ProductSerializer, UserSerializer, CartSerializer
from rest_framework... | 0.597725 | 0.074366 |
import argparse
import inverted_index
import time
"""
The function for create a new inverted index,
based on the --dataset, --stop-words and --dump-to
arguments from the arguments.
Apart from creating a new InvertedIndex instance
it will also save it as json to the file specified
in -... | main.py | import argparse
import inverted_index
import time
"""
The function for create a new inverted index,
based on the --dataset, --stop-words and --dump-to
arguments from the arguments.
Apart from creating a new InvertedIndex instance
it will also save it as json to the file specified
in -... | 0.278061 | 0.207094 |
from collections import deque
import re
import sys
import os
try:
from sublime_plugin import EventListener
import sublime
except ModuleNotFoundError:
EventListener = type('EventListener', (object, ), {})
if sys.version_info > (3, 4):
from typing import Tuple, List, Deque, Iterable # noqa: F401
def ... | symbol.py | from collections import deque
import re
import sys
import os
try:
from sublime_plugin import EventListener
import sublime
except ModuleNotFoundError:
EventListener = type('EventListener', (object, ), {})
if sys.version_info > (3, 4):
from typing import Tuple, List, Deque, Iterable # noqa: F401
def ... | 0.498535 | 0.130812 |
import io
from adia.token import *
from adia.tokenizer import Tokenizer
from .helpers import raises
def tokenize(string):
tokenizer = Tokenizer()
with io.StringIO(string) as f:
while True:
line = f.readline()
for t in tokenizer.feedline(line):
yield t.type, t... | tests/test_tokenizer.py | import io
from adia.token import *
from adia.tokenizer import Tokenizer
from .helpers import raises
def tokenize(string):
tokenizer = Tokenizer()
with io.StringIO(string) as f:
while True:
line = f.readline()
for t in tokenizer.feedline(line):
yield t.type, t... | 0.574514 | 0.554109 |
import gi, os, sys
import datetime
from codes import *
gi.require_version('Gtk', '3.0')
from gi.repository import GLib, Gtk, GObject, GdkPixbuf, Gdk, Pango
from pprint import pprint as pp
WORKINGDIR = os.getcwd()
class View(Gtk.Window):
__gsignals__ = {
'send': (GObject.SignalFlags.RUN_FIRST, None, (str,... | GUI/View.py | import gi, os, sys
import datetime
from codes import *
gi.require_version('Gtk', '3.0')
from gi.repository import GLib, Gtk, GObject, GdkPixbuf, Gdk, Pango
from pprint import pprint as pp
WORKINGDIR = os.getcwd()
class View(Gtk.Window):
__gsignals__ = {
'send': (GObject.SignalFlags.RUN_FIRST, None, (str,... | 0.31563 | 0.083628 |
data = {
"gQq8MjHu1Jf": "LKL{S4Y_H3LLO_T0_G1T_OQUe6Ie2Ye}",
"jvhwujZjYXF": "LKL{S4Y_H3LLO_T0_G1T_wh5Mu25Ahw}",
"5ogaDpfsjQW": "LKL{S4Y_H3LLO_T0_G1T_OSDZfgsCEW}",
"CQsvAk0t0Hp": "LKL{S4Y_H3LLO_T0_G1T_TqLezjAM21}",
"hzunrOK4Wut": "LKL{S4Y_H3LLO_T0_G1T_IcV3goEcF3}",
"NF6zqFQb9I8": "LKL{S4Y_H3LLO_T... | tasks/strange-archive/teams_and_flags.py |
data = {
"gQq8MjHu1Jf": "LKL{S4Y_H3LLO_T0_G1T_OQUe6Ie2Ye}",
"jvhwujZjYXF": "LKL{S4Y_H3LLO_T0_G1T_wh5Mu25Ahw}",
"5ogaDpfsjQW": "LKL{S4Y_H3LLO_T0_G1T_OSDZfgsCEW}",
"CQsvAk0t0Hp": "LKL{S4Y_H3LLO_T0_G1T_TqLezjAM21}",
"hzunrOK4Wut": "LKL{S4Y_H3LLO_T0_G1T_IcV3goEcF3}",
"NF6zqFQb9I8": "LKL{S4Y_H3LLO_T... | 0.347537 | 0.320396 |
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.behaviors import ToggleButtonBehavior
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.lang import Builder
from kivy.properties import ObjectProperty, StringProperty
fr... | kivystudio/components/emulator_area/__init__.py | from kivy.uix.floatlayout import FloatLayout
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.behaviors import ToggleButtonBehavior
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.lang import Builder
from kivy.properties import ObjectProperty, StringProperty
fr... | 0.395484 | 0.061003 |
from os.path import join
import torch
from kornia import geometry
from ..agents.base import BaseModule
from ..dataset import JointsConstructor
from ..models.hourglass import HourglassModel
from ..models.metrics import MPJPE
from ..utils import average_loss
class HourglassEstimator(BaseModule):
"""
Agent for... | experimenting/agents/hourglass_estimator.py | from os.path import join
import torch
from kornia import geometry
from ..agents.base import BaseModule
from ..dataset import JointsConstructor
from ..models.hourglass import HourglassModel
from ..models.metrics import MPJPE
from ..utils import average_loss
class HourglassEstimator(BaseModule):
"""
Agent for... | 0.9252 | 0.395309 |
import time
from django.utils.translation import ugettext_lazy as _
from docker import Client
from horizon import tabs
from openstack_dashboard import api
from openstack_dashboard.dashboards.images.images_docker import tables as tbl_docker
class Images:
def __init__(self, imageId, size, repo, tag, created):
... | openstack_dashboard/dashboards/images/images_docker/tabs.py | import time
from django.utils.translation import ugettext_lazy as _
from docker import Client
from horizon import tabs
from openstack_dashboard import api
from openstack_dashboard.dashboards.images.images_docker import tables as tbl_docker
class Images:
def __init__(self, imageId, size, repo, tag, created):
... | 0.331552 | 0.078395 |
from xml.dom.minidom import Document
import os
import os.path
import xml.etree.ElementTree as ET
from tqdm import tqdm
opj = os.path.join
txt_path = "submit.txt"
xml_path = "inference_xml"
img_name=[]
if not os.path.exists(xml_path):
os.mkdir(xml_path)
def indent(elem, level=0):
i = "\n" +... | submit_xml.py | from xml.dom.minidom import Document
import os
import os.path
import xml.etree.ElementTree as ET
from tqdm import tqdm
opj = os.path.join
txt_path = "submit.txt"
xml_path = "inference_xml"
img_name=[]
if not os.path.exists(xml_path):
os.mkdir(xml_path)
def indent(elem, level=0):
i = "\n" +... | 0.083871 | 0.049245 |
import math
import sys
import random
random.seed(0)
def random_num(n):
cnt = 1
a = [0] * n
while cnt <= n:
num = random.randint(sum(a), sum(a)+1000)
a[cnt-1] = num
cnt += 1
return a
def generate_key(n):
print("Input a list of n superincreasing integers, separated by commas... | Merkle-Hellman Knapsack Cryptosystem.py | import math
import sys
import random
random.seed(0)
def random_num(n):
cnt = 1
a = [0] * n
while cnt <= n:
num = random.randint(sum(a), sum(a)+1000)
a[cnt-1] = num
cnt += 1
return a
def generate_key(n):
print("Input a list of n superincreasing integers, separated by commas... | 0.10697 | 0.314577 |
import os
import glob
import random
import numpy as np
import torch
import torch.utils.data as data
from PIL import Image, ImageOps, ImageFilter
__all__ = ['ycbSegmentation']
class ycbSegmentation(data.Dataset):
BASE_DIR = 'YCB-Video'
NUM_CLASS = 21+1 # 13 object and background
def __init__(self, root=... | data_loader/ycb.py | import os
import glob
import random
import numpy as np
import torch
import torch.utils.data as data
from PIL import Image, ImageOps, ImageFilter
__all__ = ['ycbSegmentation']
class ycbSegmentation(data.Dataset):
BASE_DIR = 'YCB-Video'
NUM_CLASS = 21+1 # 13 object and background
def __init__(self, root=... | 0.616705 | 0.270396 |
import torch
from operations.losses.image import LPIPS
from torch import Tensor
from torchmetrics import Metric
from torch.nn import functional as F
def psnr(input: Tensor, target: Tensor, maximum: Tensor) -> Tensor:
"""
Computes the PSNR between two images.
:param input: [*, C, H, W]
:param target: ... | operations/metrics/image.py | import torch
from operations.losses.image import LPIPS
from torch import Tensor
from torchmetrics import Metric
from torch.nn import functional as F
def psnr(input: Tensor, target: Tensor, maximum: Tensor) -> Tensor:
"""
Computes the PSNR between two images.
:param input: [*, C, H, W]
:param target: ... | 0.892786 | 0.725187 |
import pandas as pd
import hiplot as hip
# -----------------------------
# Load data
# -----------------------------
# Sample data
data = [{'dropout':0.1, 'lr': 0.001, 'loss': 10.0, 'optimizer': 'SGD'},
{'dropout':0.15, 'lr': 0.01, 'loss': 3.5, 'optimizer': 'Adam'},
{'dropout':0.3, 'lr': 0.1, 'loss': 4... | examples/hiplot-examples/plot_main02.py | import pandas as pd
import hiplot as hip
# -----------------------------
# Load data
# -----------------------------
# Sample data
data = [{'dropout':0.1, 'lr': 0.001, 'loss': 10.0, 'optimizer': 'SGD'},
{'dropout':0.15, 'lr': 0.01, 'loss': 3.5, 'optimizer': 'Adam'},
{'dropout':0.3, 'lr': 0.1, 'loss': 4... | 0.665737 | 0.275221 |
""" Web Application Firewall Binding
"""
import json
from ctypes import POINTER, Structure, byref, c_bool, c_char_p, c_int, c_size_t
from . import get_lib
from ._compat import UNICODE_CLASS
from .input import C_PWArgs, PWArgs
PW_ERR_INTERNAL = -6
PW_ERR_TIMEOUT = -5
PW_ERR_INVALID_CALL = -4
PW_ERR_INVALID_RULE = -3
P... | exercise/venv/lib/python3.7/site-packages/sq_native/waf.py | """ Web Application Firewall Binding
"""
import json
from ctypes import POINTER, Structure, byref, c_bool, c_char_p, c_int, c_size_t
from . import get_lib
from ._compat import UNICODE_CLASS
from .input import C_PWArgs, PWArgs
PW_ERR_INTERNAL = -6
PW_ERR_TIMEOUT = -5
PW_ERR_INVALID_CALL = -4
PW_ERR_INVALID_RULE = -3
P... | 0.58676 | 0.210097 |
import pytest
from sasctl.utils.decorators import deprecated, experimental, ExperimentalWarning
def test_deprecated():
"""Function can be deprecated with @deprecated(version=XX)."""
@deprecated(version=1.2)
def old_function(a):
"""Do old stuff.
Parameters
----------
a : ... | tests/unit/test_decorators.py |
import pytest
from sasctl.utils.decorators import deprecated, experimental, ExperimentalWarning
def test_deprecated():
"""Function can be deprecated with @deprecated(version=XX)."""
@deprecated(version=1.2)
def old_function(a):
"""Do old stuff.
Parameters
----------
a : ... | 0.733643 | 0.460228 |
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
from . import (
CloudProvider,
CloudEnvironment,
CloudEnvironmentConfig,
)
from ..util import (
find_executable,
display,
ConfigParser,
ApplicationError,
)
from ..docker_util import (
do... | venv/lib/python3.6/site-packages/ansible_test/_internal/cloud/vcenter.py | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
from . import (
CloudProvider,
CloudEnvironment,
CloudEnvironmentConfig,
)
from ..util import (
find_executable,
display,
ConfigParser,
ApplicationError,
)
from ..docker_util import (
do... | 0.568655 | 0.081923 |
import datetime
import random
from typing import List
import pandas as pd
from dateutil.utils import today
from numpy import array_split
from toloka.client import TolokaClient
from toloka.client.actions import RestrictionV2
from toloka.client.batch_create_results import TaskSuiteBatchCreateResult
from toloka.client.co... | results/ytoloka.py | import datetime
import random
from typing import List
import pandas as pd
from dateutil.utils import today
from numpy import array_split
from toloka.client import TolokaClient
from toloka.client.actions import RestrictionV2
from toloka.client.batch_create_results import TaskSuiteBatchCreateResult
from toloka.client.co... | 0.494629 | 0.153835 |
import sqlalchemy
from sql_alchemy import banco
from sqlalchemy import types
class PetModel(banco.Model):
__tablename__ = 'TB_PET'
cadastro_pet = banco.Column(banco.String(10), primary_key=True)
nome = banco.Column(banco.String(80))
data_nascimento = banco.Column(types.Date())
raca = banco.Column(ba... | models/pet.py | import sqlalchemy
from sql_alchemy import banco
from sqlalchemy import types
class PetModel(banco.Model):
__tablename__ = 'TB_PET'
cadastro_pet = banco.Column(banco.String(10), primary_key=True)
nome = banco.Column(banco.String(80))
data_nascimento = banco.Column(types.Date())
raca = banco.Column(ba... | 0.294418 | 0.292791 |
from tests.utils import CustomClient
def test_health_check(client: CustomClient):
response = client.query(
"/graphql",
query="""
query q {
healthCheck
}
""",
)
assert response.data == {"data": {"healthCheck": "schema load success"}}
def ... | tests/e2e/user/test_graphql.py | from tests.utils import CustomClient
def test_health_check(client: CustomClient):
response = client.query(
"/graphql",
query="""
query q {
healthCheck
}
""",
)
assert response.data == {"data": {"healthCheck": "schema load success"}}
def ... | 0.701917 | 0.388009 |
import xlrd
import pandas as pd
from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV, StratifiedKFold
from sklearn.metrics import confusion_matrix
from Utils import *
from Model import FeatureReduction
"""----------------------User Configuration----------------------"""
n_train = 1... | Transferability.py | import xlrd
import pandas as pd
from sklearn.svm import SVC
from sklearn.model_selection import GridSearchCV, StratifiedKFold
from sklearn.metrics import confusion_matrix
from Utils import *
from Model import FeatureReduction
"""----------------------User Configuration----------------------"""
n_train = 1... | 0.61115 | 0.34161 |
import numpy as np
from acconeer.exptool import configs, utils
from acconeer.exptool.clients import SocketClient, SPIClient, UARTClient
from acconeer.exptool.mpl_process import FigureUpdater, PlotProccessDiedException, PlotProcess
def main():
args = utils.ExampleArgumentParser().parse_args()
utils.config_log... | examples/plotting/plot_with_mpl_process.py | import numpy as np
from acconeer.exptool import configs, utils
from acconeer.exptool.clients import SocketClient, SPIClient, UARTClient
from acconeer.exptool.mpl_process import FigureUpdater, PlotProccessDiedException, PlotProcess
def main():
args = utils.ExampleArgumentParser().parse_args()
utils.config_log... | 0.606498 | 0.250357 |
import pytest
from schafkopf.game_modes import NO_GAME, PARTNER_MODE, WENZ, SOLO
from schafkopf.players.mc_node import MCNode
from schafkopf.suits import SUITS, LEAVES
@pytest.fixture
def next_state(player_hands_partner):
leading_player = 0
current_player = 1
mode_proposals = [(NO_GAME, None)]
game_m... | tests/test_mc_node.py | import pytest
from schafkopf.game_modes import NO_GAME, PARTNER_MODE, WENZ, SOLO
from schafkopf.players.mc_node import MCNode
from schafkopf.suits import SUITS, LEAVES
@pytest.fixture
def next_state(player_hands_partner):
leading_player = 0
current_player = 1
mode_proposals = [(NO_GAME, None)]
game_m... | 0.538498 | 0.39289 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r"""
name: tss
author: <NAME> (@amigus) <<EMAIL>>
short_description: Get secrets from Thycotic Secret Server
version_added: 1.0.0
description:
- Uses the Thycotic Secret Server Python SDK to get Secrets from Secr... | venv/lib/python3.6/site-packages/ansible_collections/community/general/plugins/lookup/tss.py | from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = r"""
name: tss
author: <NAME> (@amigus) <<EMAIL>>
short_description: Get secrets from Thycotic Secret Server
version_added: 1.0.0
description:
- Uses the Thycotic Secret Server Python SDK to get Secrets from Secr... | 0.725065 | 0.169269 |
import os
import argparse
import numpy as np
import glob
import imageio
import scipy.io as sio
from plyfile import PlyElement, PlyData
from parse import parse
from sklearn.neighbors import NearestNeighbors as nnbrs
from scipy.spatial import KDTree
from collections import Counter
from multiprocessing import Pool
import ... | SPConvNets/datasets/preprocess/run_keypoint.py | import os
import argparse
import numpy as np
import glob
import imageio
import scipy.io as sio
from plyfile import PlyElement, PlyData
from parse import parse
from sklearn.neighbors import NearestNeighbors as nnbrs
from scipy.spatial import KDTree
from collections import Counter
from multiprocessing import Pool
import ... | 0.461017 | 0.197019 |
from utils import (NORTH, EAST, SOUTH, WEST)
from numpy.random import RandomState
class Car:
def __init__(self, orientation, start_pos, end_pos, active=True, p_turn=0.5,
turn_ctr=0, switch_ctr=0, asshole_factor=0, asshole_ctr=0):
self.orientation = orientation
self.cur_pos = star... | car.py |
from utils import (NORTH, EAST, SOUTH, WEST)
from numpy.random import RandomState
class Car:
def __init__(self, orientation, start_pos, end_pos, active=True, p_turn=0.5,
turn_ctr=0, switch_ctr=0, asshole_factor=0, asshole_ctr=0):
self.orientation = orientation
self.cur_pos = star... | 0.857828 | 0.596345 |
from threading import Lock, Thread
import logging
import re
import queue
import time
class Component(object):
''' Components are responsible for monitoring the underlying physical component, updating dependent properties associated with the component, and responding to updates of those properties by sending... | pyIOT/Component.py | from threading import Lock, Thread
import logging
import re
import queue
import time
class Component(object):
''' Components are responsible for monitoring the underlying physical component, updating dependent properties associated with the component, and responding to updates of those properties by sending... | 0.853593 | 0.333178 |
import contextlib
import hashlib
import json
import random
import flowws
from flowws import Argument as Arg
import keras_gtar
import numpy as np
import tensorflow as tf
from tensorflow import keras
try:
import tensorflow_addons as tfa
except ImportError:
tfa = None
OPTIMIZER_MAP = dict(
adadelta='Adadelta... | flowws_keras_experimental/Train.py | import contextlib
import hashlib
import json
import random
import flowws
from flowws import Argument as Arg
import keras_gtar
import numpy as np
import tensorflow as tf
from tensorflow import keras
try:
import tensorflow_addons as tfa
except ImportError:
tfa = None
OPTIMIZER_MAP = dict(
adadelta='Adadelta... | 0.61682 | 0.246635 |
from .objbase import MeshObject, ChebiObject, EntrezObject, MeshESearchObject
__all__ = ['BasicParser', 'MeshSubjectIDParser', 'MeshObjectParser',
'ChebiObjectParser', 'EntrezObjectParser', 'MeshESearchObjectParser']
class BasicParser(object):
def parse(self, resp):
return resp
class MeshSu... | chement/parser.py | from .objbase import MeshObject, ChebiObject, EntrezObject, MeshESearchObject
__all__ = ['BasicParser', 'MeshSubjectIDParser', 'MeshObjectParser',
'ChebiObjectParser', 'EntrezObjectParser', 'MeshESearchObjectParser']
class BasicParser(object):
def parse(self, resp):
return resp
class MeshSu... | 0.183191 | 0.120413 |
import cv2
import numpy as np
import tensorflow as tf
grid_h = 45
grid_w = 60
# # original paper anchors
# wandhG = np.array([[100.0, 100.0], [300.0, 300.0], [500.0, 500.0],
# [200.0, 100.0], [370.0, 185.0], [440.0, 220.0],
# [100.0, 200.0], [185.0, 370.0], [220.0, 440.0]])
# k... | 4-Object_Detection/RPN/utils.py |
import cv2
import numpy as np
import tensorflow as tf
grid_h = 45
grid_w = 60
# # original paper anchors
# wandhG = np.array([[100.0, 100.0], [300.0, 300.0], [500.0, 500.0],
# [200.0, 100.0], [370.0, 185.0], [440.0, 220.0],
# [100.0, 200.0], [185.0, 370.0], [220.0, 440.0]])
# k... | 0.617974 | 0.594316 |
__all__ = ["icrsFromGal"]
import numpy
# Constants
# _RMat is the rotation matrix to convert galactic to ICRS conversion matrix
# (the data is for cpnversion in the other direction,
# but transposing a rotation matrix inverts it)
_RMat = numpy.transpose(numpy.array ((
(-0.054875539726, -0.873437108010, -0.48... | python/opscore/RO/Astro/Cnv/ICRSFromGal.py | __all__ = ["icrsFromGal"]
import numpy
# Constants
# _RMat is the rotation matrix to convert galactic to ICRS conversion matrix
# (the data is for cpnversion in the other direction,
# but transposing a rotation matrix inverts it)
_RMat = numpy.transpose(numpy.array ((
(-0.054875539726, -0.873437108010, -0.48... | 0.723895 | 0.573977 |
import os
import torch
from functools import partial
from collections.abc import Hashable
from torch.utils.data import DataLoader
from .base import BaseRuntime
from ..nn import named_penalties
from ..priors import ImplicitSlicePrior
from ..priors.implicit import ImplicitPrior
from ..source import KernelDataset
f... | markovdwp/runtime/dwp.py | import os
import torch
from functools import partial
from collections.abc import Hashable
from torch.utils.data import DataLoader
from .base import BaseRuntime
from ..nn import named_penalties
from ..priors import ImplicitSlicePrior
from ..priors.implicit import ImplicitPrior
from ..source import KernelDataset
f... | 0.88173 | 0.543287 |
import numpy as np
import numexpr as ne
import argparse, pickle, os.path
from collections import OrderedDict
from datasets import get_data_generator
from class_hierarchy import ClassHierarchy
try:
from tqdm import tqdm
except ImportError:
def tqdm(it, **kwargs):
return it
METRICS ... | evaluate_retrieval.py | import numpy as np
import numexpr as ne
import argparse, pickle, os.path
from collections import OrderedDict
from datasets import get_data_generator
from class_hierarchy import ClassHierarchy
try:
from tqdm import tqdm
except ImportError:
def tqdm(it, **kwargs):
return it
METRICS ... | 0.66072 | 0.289121 |
import json
import ssl
from http.client import HTTPSConnection, HTTPConnection
from time import time
from urllib.parse import parse_qsl, urlparse, urlencode
class Request:
def __init__(self, wsgi_environ):
self.create_time = time()
self.body = None
self._wsgi_environ = wsgi_environ
... | evernotebot/util/http.py | import json
import ssl
from http.client import HTTPSConnection, HTTPConnection
from time import time
from urllib.parse import parse_qsl, urlparse, urlencode
class Request:
def __init__(self, wsgi_environ):
self.create_time = time()
self.body = None
self._wsgi_environ = wsgi_environ
... | 0.226869 | 0.10683 |
import os
import pkg_resources
import pytest
from six import StringIO
from req_compile.cmdline import compile_main, _create_input_reqs
from req_compile.containers import DistInfo
from req_compile.repos.findlinks import FindLinksRepository
from req_compile.repos.pypi import PyPIRepository
from req_compile.repos.solu... | tests/test_cmdline.py | import os
import pkg_resources
import pytest
from six import StringIO
from req_compile.cmdline import compile_main, _create_input_reqs
from req_compile.containers import DistInfo
from req_compile.repos.findlinks import FindLinksRepository
from req_compile.repos.pypi import PyPIRepository
from req_compile.repos.solu... | 0.472927 | 0.207295 |
import os
from cryptojwt.jwk import pems_to_x5c
from cryptojwt.jwk import x5c_to_pems
from cryptojwt.jws.jws import factory
from cryptojwt.key_jar import build_keyjar
from oidcmsg.exception import MissingPage
import pytest
import requests
import responses
from fedservice.entity_statement.collect import Collector
from... | tests/test_04_collect.py | import os
from cryptojwt.jwk import pems_to_x5c
from cryptojwt.jwk import x5c_to_pems
from cryptojwt.jws.jws import factory
from cryptojwt.key_jar import build_keyjar
from oidcmsg.exception import MissingPage
import pytest
import requests
import responses
from fedservice.entity_statement.collect import Collector
from... | 0.529993 | 0.500488 |
import os
import numpy as np
import hyperspy.api as hs
from pyiron_base._tests import TestWithCleanProject
import pyiron_experimental
class TestHSLineProfiles(TestWithCleanProject):
@classmethod
def setUpClass(cls):
super().setUpClass()
data = hs.load(os.path.join(cls.project.path, '../../... | tests/test_hs_line_profiles.py | import os
import numpy as np
import hyperspy.api as hs
from pyiron_base._tests import TestWithCleanProject
import pyiron_experimental
class TestHSLineProfiles(TestWithCleanProject):
@classmethod
def setUpClass(cls):
super().setUpClass()
data = hs.load(os.path.join(cls.project.path, '../../... | 0.516352 | 0.683987 |
import unittest
import os
import shutil
import sys
from file_number_rename.file_rename import rename_files, rename_file_name, parse_arguments
class NumberRenameTestCase(unittest.TestCase):
def setUp(self):
self.clean_up_test_dir()
file_name = "_test_file.txt"
def touch(self, file_path, times=No... | file_number_rename_test/file_rename_test.py | import unittest
import os
import shutil
import sys
from file_number_rename.file_rename import rename_files, rename_file_name, parse_arguments
class NumberRenameTestCase(unittest.TestCase):
def setUp(self):
self.clean_up_test_dir()
file_name = "_test_file.txt"
def touch(self, file_path, times=No... | 0.289071 | 0.332229 |
from psychopy import visual, core, event
from psychopy.visual import ImageStim, TextStim, Circle
from random import randint
from experiment_objects import ImagePair, Image
import os
import csv
"""
I'M NOT GOING TO COMMENT THIS THROUGHOUT, SO THIS IS HOW ANIMATION WORKS:
for frameN in range(number_of_seconds * monitor... | training.py | from psychopy import visual, core, event
from psychopy.visual import ImageStim, TextStim, Circle
from random import randint
from experiment_objects import ImagePair, Image
import os
import csv
"""
I'M NOT GOING TO COMMENT THIS THROUGHOUT, SO THIS IS HOW ANIMATION WORKS:
for frameN in range(number_of_seconds * monitor... | 0.506591 | 0.422147 |
import json
import requests
from sentry.plugins.bases.notify import NotificationPlugin
import sentry_feishu
from .forms import FeiShuOptionsForm
class FeiShuPlugin(NotificationPlugin):
"""
Sentry plugin to send error counts to FeiShu.
"""
author = 'yjy'
author_url = 'https://github.com/DC-ET/sen... | src/sentry_feishu/plugin.py |
import json
import requests
from sentry.plugins.bases.notify import NotificationPlugin
import sentry_feishu
from .forms import FeiShuOptionsForm
class FeiShuPlugin(NotificationPlugin):
"""
Sentry plugin to send error counts to FeiShu.
"""
author = 'yjy'
author_url = 'https://github.com/DC-ET/sen... | 0.522202 | 0.180287 |
from PIL import Image, ImageDraw
import numpy
import face_recognition
class ImageProcessor:
"Contains sevelral methods to processes into finding faces within"
def __init__(self, image=None, nparray=None, filename=None, processing=1024):
"""class constructor
The constructor requires either the f... | imageProcessor.py | from PIL import Image, ImageDraw
import numpy
import face_recognition
class ImageProcessor:
"Contains sevelral methods to processes into finding faces within"
def __init__(self, image=None, nparray=None, filename=None, processing=1024):
"""class constructor
The constructor requires either the f... | 0.893347 | 0.490236 |
import solver.solutionInstance as solutionInstance
import numpy as np
import random
def swapTwoClosePeriodsPairs(self: solutionInstance.SolutionInstance): # Turned out not to be a good neighbour generator
meetByPeriodByDayByLocalBySubjectByGroup = np.copy(self.meetByPeriodByDayByLocalBySubjectByGroup)
firstDa... | Simulated annealing/solver/neighbourGenerators/swapSpecialistTwoCloseMeetingPairs.py | import solver.solutionInstance as solutionInstance
import numpy as np
import random
def swapTwoClosePeriodsPairs(self: solutionInstance.SolutionInstance): # Turned out not to be a good neighbour generator
meetByPeriodByDayByLocalBySubjectByGroup = np.copy(self.meetByPeriodByDayByLocalBySubjectByGroup)
firstDa... | 0.487551 | 0.35081 |
from PyQt5.QtWidgets import QGraphicsView
from datanodes.core.utils import dumpException
from datanodes.core.node_edge import Edge, EDGE_BEZIER, EDGE_DIRECT
from datanodes.graphics.graphics_socket import GraphicsSocket
from datanodes.core.node_node import SOCKET_INPUT, SOCKET_OUTPUT
DEBUG = False
class EdgeDragging:
... | datanodes/core/node_edge_dragging.py | from PyQt5.QtWidgets import QGraphicsView
from datanodes.core.utils import dumpException
from datanodes.core.node_edge import Edge, EDGE_BEZIER, EDGE_DIRECT
from datanodes.graphics.graphics_socket import GraphicsSocket
from datanodes.core.node_node import SOCKET_INPUT, SOCKET_OUTPUT
DEBUG = False
class EdgeDragging:
... | 0.347869 | 0.21212 |
from tkinter import *
import numpy as np
from scipy.spatial.distance import euclidean
# Creating an empty Tkinter window
root = Tk()
# Setting the Tkinter window properties
root.wm_title('My Universe')
canvas = Canvas(root, width=700, height=700, bg='black')
canvas.grid(row=0, column=0)
G = 0.01 # Gravitational co... | N-Body Simulation/main.py |
from tkinter import *
import numpy as np
from scipy.spatial.distance import euclidean
# Creating an empty Tkinter window
root = Tk()
# Setting the Tkinter window properties
root.wm_title('My Universe')
canvas = Canvas(root, width=700, height=700, bg='black')
canvas.grid(row=0, column=0)
G = 0.01 # Gravitational co... | 0.756088 | 0.557665 |
from django.urls import reverse
from django.contrib.auth.models import User
from rest_framework import status
from rest_framework.test import APITestCase, APIClient
from .models import Service, Bearer
class ServiceTest(APITestCase):
def setUp(self):
self.client = APIClient()
self.user = User.obj... | radioepg/tests.py |
from django.urls import reverse
from django.contrib.auth.models import User
from rest_framework import status
from rest_framework.test import APITestCase, APIClient
from .models import Service, Bearer
class ServiceTest(APITestCase):
def setUp(self):
self.client = APIClient()
self.user = User.obj... | 0.488527 | 0.270667 |
import os
from ioformat import read_text_file
import mess_io.writer
PATH = os.path.dirname(os.path.realpath(__file__))
SPC1_LABEL = 'Mol1'
SPC2_LABEL = 'Mol1'
WELL_LABEL = 'W1'
BIMOL_LABEL = 'P1'
TS_LABEL = 'B1'
# Data Strings
MOL_MESS_STR = """RRHO
Core RigidRotor
SymmetryFactor 1.0
End
Geometry[... | autoio/mess_io/tests/test_write_rxnchan.py | import os
from ioformat import read_text_file
import mess_io.writer
PATH = os.path.dirname(os.path.realpath(__file__))
SPC1_LABEL = 'Mol1'
SPC2_LABEL = 'Mol1'
WELL_LABEL = 'W1'
BIMOL_LABEL = 'P1'
TS_LABEL = 'B1'
# Data Strings
MOL_MESS_STR = """RRHO
Core RigidRotor
SymmetryFactor 1.0
End
Geometry[... | 0.426322 | 0.246573 |
from datetime import datetime
from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _
from request.managers import RequestManager
from request.utils import HTTP_STATUS_CODES
class Request(models.Model):
# Response infomation
response = ... | request/models.py | from datetime import datetime
from django.db import models
from django.contrib.auth.models import User
from django.utils.translation import ugettext_lazy as _
from request.managers import RequestManager
from request.utils import HTTP_STATUS_CODES
class Request(models.Model):
# Response infomation
response = ... | 0.417746 | 0.049474 |
import textwrap
from astroid import nodes
from astroid import builder
# The name of the transient function that is used to
# wrap expressions to be extracted when calling
# extract_node.
_TRANSIENT_FUNCTION = '__'
# The comment used to select a statement to be extracted
# when calling extract_node.
_STATEMENT_SELECT... | venv/lib/python2.7/site-packages/astroid/test_utils.py | import textwrap
from astroid import nodes
from astroid import builder
# The name of the transient function that is used to
# wrap expressions to be extracted when calling
# extract_node.
_TRANSIENT_FUNCTION = '__'
# The comment used to select a statement to be extracted
# when calling extract_node.
_STATEMENT_SELECT... | 0.771413 | 0.503357 |
from django.db import models
from django.contrib.auth.models import User
class GuideBookManager(models.Manager):
def get_guide_book(self,id):
return super(GuideBookManager,
self).get_queryset().filter(book_guide=id).order_by('-average')
class Book(models.Model):
objec... | backend/Backendapi/bookdata/models.py | from django.db import models
from django.contrib.auth.models import User
class GuideBookManager(models.Manager):
def get_guide_book(self,id):
return super(GuideBookManager,
self).get_queryset().filter(book_guide=id).order_by('-average')
class Book(models.Model):
objec... | 0.368747 | 0.134094 |
from django.test import override_settings
from django.urls import reverse_lazy
from model_bakery import baker
from rest_framework import status
from rest_framework.test import APITestCase
from hypha.apply.funds.models import ScreeningStatus
from hypha.apply.funds.tests.factories.models import ApplicationSubmissionFact... | hypha/apply/api/v1/screening/tests/test_views.py | from django.test import override_settings
from django.urls import reverse_lazy
from model_bakery import baker
from rest_framework import status
from rest_framework.test import APITestCase
from hypha.apply.funds.models import ScreeningStatus
from hypha.apply.funds.tests.factories.models import ApplicationSubmissionFact... | 0.48121 | 0.106412 |
import pytest
import requests_mock
import requests.exceptions
from dteenergybridge import DteEnergyBridge
from dteenergybridge import exceptions
def test_invalid_bridge_version():
"""Tests to make sure constructor throws on invalid bridge_version"""
with pytest.raises(exceptions.InvalidArgumentError):
... | tests/test_dteenergybridge.py | import pytest
import requests_mock
import requests.exceptions
from dteenergybridge import DteEnergyBridge
from dteenergybridge import exceptions
def test_invalid_bridge_version():
"""Tests to make sure constructor throws on invalid bridge_version"""
with pytest.raises(exceptions.InvalidArgumentError):
... | 0.589007 | 0.374762 |
import os,re,webbrowser
from itertools import chain
from collections import Counter
from gensim.summarization import textcleaner
#Define court object
class court:
def __init__(self, cases=[]):
assert isinstance(cases,list)
if len(cases)>0:
assert isinstance(cases[0],str)
self.cases=cases
self.... | InfoExtract/main.py | import os,re,webbrowser
from itertools import chain
from collections import Counter
from gensim.summarization import textcleaner
#Define court object
class court:
def __init__(self, cases=[]):
assert isinstance(cases,list)
if len(cases)>0:
assert isinstance(cases[0],str)
self.cases=cases
self.... | 0.186243 | 0.255907 |
from keras.layers import Conv2D, Dense, MaxPooling2D, AveragePooling2D, BatchNormalization
from keras.layers import GlobalAveragePooling2D, GlobalMaxPooling2D
from utils.keras_sparisity_regularization import SparsityRegularization
from copy import deepcopy
import numpy as np
def freeze_SR_layer(model, prune_rate=0.):... | utils/channel_pruning.py | from keras.layers import Conv2D, Dense, MaxPooling2D, AveragePooling2D, BatchNormalization
from keras.layers import GlobalAveragePooling2D, GlobalMaxPooling2D
from utils.keras_sparisity_regularization import SparsityRegularization
from copy import deepcopy
import numpy as np
def freeze_SR_layer(model, prune_rate=0.):... | 0.491456 | 0.501587 |
import serial
import enum
class PumpDirection(enum.Enum):
Infuse = 'INF'
Refill = 'REF'
Reverse = 'REV'
class PumpMode(enum.Enum):
AutoStop = 'AUT'
Proportional = 'PRO'
Continuous = 'CON'
class PumpState(enum.Enum):
Stopped = enum.auto()
Infusing = enum.auto()
Refilling = enum.au... | storm_control/sc_hardware/harvardApparatus/pump33.py | import serial
import enum
class PumpDirection(enum.Enum):
Infuse = 'INF'
Refill = 'REF'
Reverse = 'REV'
class PumpMode(enum.Enum):
AutoStop = 'AUT'
Proportional = 'PRO'
Continuous = 'CON'
class PumpState(enum.Enum):
Stopped = enum.auto()
Infusing = enum.auto()
Refilling = enum.au... | 0.530966 | 0.183118 |
import argparse
import json
import logging
import re
import sys
import srt
import datetime
def make_subs_fixed(response, bin_size=3000):
""" Create subtitles that fit in fixed size bins.
This is the method used by the original Medium article.
The produced output should be identical, minus a few ro... | gcsubs/gcsconvert.py | import argparse
import json
import logging
import re
import sys
import srt
import datetime
def make_subs_fixed(response, bin_size=3000):
""" Create subtitles that fit in fixed size bins.
This is the method used by the original Medium article.
The produced output should be identical, minus a few ro... | 0.31944 | 0.316092 |
import urllib2
from django.core.paginator import Paginator, EmptyPage, InvalidPage, PageNotAnInteger
from django.template.response import TemplateResponse
from django.views.defaults import page_not_found
from common.login_required_mixin import LoginRequiredMixin
from reducer.forms import ReduceURLForm
from django.views... | reducer/views.py | import urllib2
from django.core.paginator import Paginator, EmptyPage, InvalidPage, PageNotAnInteger
from django.template.response import TemplateResponse
from django.views.defaults import page_not_found
from common.login_required_mixin import LoginRequiredMixin
from reducer.forms import ReduceURLForm
from django.views... | 0.244273 | 0.061199 |
from private.constants_private import endpoint, sapi_token
from qubo.qubo import Qubo
# Scenario 1
variables = ['x14', 'x15', 'x16', 'x17', 'x23', 'x24', 'x25', 'x26',
'x27', 'x28', 'x31', 'x32', 'x34', 'x35', 'x36', 'x37',
'x38', 'x40', 'x41', 'x42', 'x43', 'x44', 'x45', 'x46',
... | main.py | from private.constants_private import endpoint, sapi_token
from qubo.qubo import Qubo
# Scenario 1
variables = ['x14', 'x15', 'x16', 'x17', 'x23', 'x24', 'x25', 'x26',
'x27', 'x28', 'x31', 'x32', 'x34', 'x35', 'x36', 'x37',
'x38', 'x40', 'x41', 'x42', 'x43', 'x44', 'x45', 'x46',
... | 0.417746 | 0.31127 |
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import inspect
import ga4gh.exceptions as exceptions
import ga4gh.frontend as frontend
import ga4gh.protocol as protocol
class TestExceptionHandler(unittest.TestCase):
"""
Test that ... | tests/unit/test_exceptions.py | from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import inspect
import ga4gh.exceptions as exceptions
import ga4gh.frontend as frontend
import ga4gh.protocol as protocol
class TestExceptionHandler(unittest.TestCase):
"""
Test that ... | 0.789842 | 0.264548 |
def create_taxa_mask(TaXon_table_xlsx, mask, taxon_mask):
import pandas as pd
from pandas import DataFrame
from pathlib import Path
TaXon_table_xlsx = Path(TaXon_table_xlsx)
TaXon_table_xlsx = pd.ExcelFile(TaXon_table_xlsx)
data = pd.read_excel(TaXon_table_xlsx, 'TaXon table', header=0)
a... | taxontabletools/taxon_table_filtering.py | def create_taxa_mask(TaXon_table_xlsx, mask, taxon_mask):
import pandas as pd
from pandas import DataFrame
from pathlib import Path
TaXon_table_xlsx = Path(TaXon_table_xlsx)
TaXon_table_xlsx = pd.ExcelFile(TaXon_table_xlsx)
data = pd.read_excel(TaXon_table_xlsx, 'TaXon table', header=0)
a... | 0.324878 | 0.563378 |
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("components", "0001_initial"),
("cases", "0024_auto_20200525_0634"),
("algorithms", "0025_algorithmimage_queue_override"),
]
operations = [
m... | app/grandchallenge/algorithms/migrations/0026_auto_20200622_1314.py |
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("components", "0001_initial"),
("cases", "0024_auto_20200525_0634"),
("algorithms", "0025_algorithmimage_queue_override"),
]
operations = [
m... | 0.625781 | 0.220112 |
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types
package = 'gkehub'
class AuditConfig(_messages.Message):
r"""Specifies the audit configuration for a service. The configuration
determines which permission types are logge... | lib/googlecloudsdk/third_party/apis/gkehub/v1alpha1/gkehub_v1alpha1_messages.py |
from apitools.base.protorpclite import messages as _messages
from apitools.base.py import encoding
from apitools.base.py import extra_types
package = 'gkehub'
class AuditConfig(_messages.Message):
r"""Specifies the audit configuration for a service. The configuration
determines which permission types are logge... | 0.735167 | 0.343232 |
import optparse
import os, sys
import re
def readATGC_buffer(buf, s, e):
"""
read numbers of A/T/G/C btw start and end in the path
:param buf: fasta buffer with \n removed
:param s: start position (inclusive), one based index
:param e: end position (inclusive), one based index
:return: numbers ... | PhD_python_script/exon.py | import optparse
import os, sys
import re
def readATGC_buffer(buf, s, e):
"""
read numbers of A/T/G/C btw start and end in the path
:param buf: fasta buffer with \n removed
:param s: start position (inclusive), one based index
:param e: end position (inclusive), one based index
:return: numbers ... | 0.184143 | 0.392803 |
import random
import string
import escape_helpers
import helpers
import numpy as np
import json
relation_map = {"uuid": "mu:uuid",
"name": "ext:name",
"path": "ext:path",
"description": "ext:description",
"note": "ext:note",
"disable_proce... | column.py | import random
import string
import escape_helpers
import helpers
import numpy as np
import json
relation_map = {"uuid": "mu:uuid",
"name": "ext:name",
"path": "ext:path",
"description": "ext:description",
"note": "ext:note",
"disable_proce... | 0.508544 | 0.158435 |
from __future__ import unicode_literals
from functools import wraps
from django.http.response import HttpResponseRedirect
from django.template.response import TemplateResponse
from django.utils.translation import ugettext_lazy as _
from .utils import object_tool_context, OBJECTTOOL_ALLOWED_PROPERTIES
def link(url,... | object_tool/shortcuts.py | from __future__ import unicode_literals
from functools import wraps
from django.http.response import HttpResponseRedirect
from django.template.response import TemplateResponse
from django.utils.translation import ugettext_lazy as _
from .utils import object_tool_context, OBJECTTOOL_ALLOWED_PROPERTIES
def link(url,... | 0.585694 | 0.052376 |
import torch
from survae.transforms.bijections import Bijection
class CouplingBijection(Bijection):
"""Transforms each input variable with an invertible elementwise bijection.
This input variables are split in two parts. The second part is transformed conditioned on the first part.
The coupling network t... | survae/transforms/bijections/coupling/coupling.py | import torch
from survae.transforms.bijections import Bijection
class CouplingBijection(Bijection):
"""Transforms each input variable with an invertible elementwise bijection.
This input variables are split in two parts. The second part is transformed conditioned on the first part.
The coupling network t... | 0.93396 | 0.757234 |
import requests
import json
from trainmodel import Learning
import configparser
import datetime
def update_config(param, model_name):
config = configparser.ConfigParser()
config.read('./configs/default.ini')
configs = config["default"]
new_configs = configparser.ConfigParser()
new_configs["default"... | src/Python/ResNet/resnet-test/run_training.py | import requests
import json
from trainmodel import Learning
import configparser
import datetime
def update_config(param, model_name):
config = configparser.ConfigParser()
config.read('./configs/default.ini')
configs = config["default"]
new_configs = configparser.ConfigParser()
new_configs["default"... | 0.348534 | 0.146423 |
from __future__ import absolute_import
from __future__ import unicode_literals
from pyhive import trino
from pyhive.tests.dbapi_test_case import with_cursor, with_complex_processing_cursor
from pyhive.tests.test_presto import TestPresto
import datetime
_HOST = 'localhost'
_PORT = '18080'
class TestTrino(TestPresto... | pyhive/tests/test_trino.py | from __future__ import absolute_import
from __future__ import unicode_literals
from pyhive import trino
from pyhive.tests.dbapi_test_case import with_cursor, with_complex_processing_cursor
from pyhive.tests.test_presto import TestPresto
import datetime
_HOST = 'localhost'
_PORT = '18080'
class TestTrino(TestPresto... | 0.467818 | 0.298888 |
import functools
import argparse
import logging
import random
import numpy as np
import torch
from data_search import load_dir
from search import LocalSearch
from multiprocessing import Pool
logger = logging.getLogger(__name__)
def flip_update(fp, flips, max_flips):
mf, af, xf, sv = fp
med = np.median(flip... | code/evaluate.py | import functools
import argparse
import logging
import random
import numpy as np
import torch
from data_search import load_dir
from search import LocalSearch
from multiprocessing import Pool
logger = logging.getLogger(__name__)
def flip_update(fp, flips, max_flips):
mf, af, xf, sv = fp
med = np.median(flip... | 0.404507 | 0.201283 |
import m5
from m5.params import *
from m5.objects import *
from BaseTopology import SimpleTopology
from TikzTopology import TikzTopology
from TopologyToDSENT import TopologyToDSENT
class FlattenedButterfly(SimpleTopology):
# Creates a generic FlattenedButterfly topology assuming an equal number of cache
# an... | configs/topologies/FlattenedButterfly.py |
import m5
from m5.params import *
from m5.objects import *
from BaseTopology import SimpleTopology
from TikzTopology import TikzTopology
from TopologyToDSENT import TopologyToDSENT
class FlattenedButterfly(SimpleTopology):
# Creates a generic FlattenedButterfly topology assuming an equal number of cache
# an... | 0.576184 | 0.284748 |
import sqlalchemy as sa
from sqlalchemy import orm
from sqlalchemy.ext import declarative
from sqlalchemy.dialects.mysql import VARCHAR
from sqlalchemy.dialects.mysql import TINYINT
from sqlalchemy.dialects.mysql import SMALLINT
from sqlalchemy.dialects.mysql import INTEGER
from sqlalchemy.dialects.mysql import CHAR
f... | gogamechen3/models.py | import sqlalchemy as sa
from sqlalchemy import orm
from sqlalchemy.ext import declarative
from sqlalchemy.dialects.mysql import VARCHAR
from sqlalchemy.dialects.mysql import TINYINT
from sqlalchemy.dialects.mysql import SMALLINT
from sqlalchemy.dialects.mysql import INTEGER
from sqlalchemy.dialects.mysql import CHAR
f... | 0.191063 | 0.101947 |
import sys, socket, time, select, dw1000_regs as regs
from dw1000_regs import Reg, msdelay
RESET_VAL = 0xff
ANS_VAL = 0xaa
SOCK_TIMEOUT = 0.05
MAX_DATALEN = 2048
IRQ_VAL = 0xfe
SEQLEN = 2
RETRIES = 3
resetime = time.time()
# Class for an SPI interfa... | dw1000_spi.py |
import sys, socket, time, select, dw1000_regs as regs
from dw1000_regs import Reg, msdelay
RESET_VAL = 0xff
ANS_VAL = 0xaa
SOCK_TIMEOUT = 0.05
MAX_DATALEN = 2048
IRQ_VAL = 0xfe
SEQLEN = 2
RETRIES = 3
resetime = time.time()
# Class for an SPI interfa... | 0.224991 | 0.060891 |
from xml.etree.cElementTree import parse, Element, ElementTree, dump
from os import walk
from os.path import join
from optparse import OptionParser
description = "Update the master package.config from individual project ones."
command_group = "Developer tools"
# Snippet used from the ElementTree documentation.
# Tidy... | lib/ohdevtools/commands/update-nuget.py | from xml.etree.cElementTree import parse, Element, ElementTree, dump
from os import walk
from os.path import join
from optparse import OptionParser
description = "Update the master package.config from individual project ones."
command_group = "Developer tools"
# Snippet used from the ElementTree documentation.
# Tidy... | 0.399109 | 0.078113 |
import os
from django.test import TestCase
from app.tests.test_modules.loader import test_flow, TestCaseFlow, TestCaseFlowRunner
from module.MicrocloudchipException.exceptions import *
from module.data.shared_storage_data import SharedFileData
from module.data.storage_data import FileData
from module.data_builder.sha... | app/server/app/tests/test_shared_file_control.py | import os
from django.test import TestCase
from app.tests.test_modules.loader import test_flow, TestCaseFlow, TestCaseFlowRunner
from module.MicrocloudchipException.exceptions import *
from module.data.shared_storage_data import SharedFileData
from module.data.storage_data import FileData
from module.data_builder.sha... | 0.323594 | 0.38445 |
from flask import Blueprint, request
# own project imports
from cagecat.tools.tools_helpers import read_headers, parse_selected_cluster_numbers
from cagecat.forms.forms import CblasterSearchForm, CblasterGNEForm, CblasterExtractSequencesForm, \
CblasterExtractClustersForm, CblasterVisualisationForm, ClinkerDownstr... | cagecat/tools/tools_routes.py | from flask import Blueprint, request
# own project imports
from cagecat.tools.tools_helpers import read_headers, parse_selected_cluster_numbers
from cagecat.forms.forms import CblasterSearchForm, CblasterGNEForm, CblasterExtractSequencesForm, \
CblasterExtractClustersForm, CblasterVisualisationForm, ClinkerDownstr... | 0.721743 | 0.183685 |
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
from scipy import interpolate
import Process_Data.constants as c
from Lime import gassuan_weight
from Process_Data.xfcc.common import get_filterbanks
timit_soft = get_filterbanks(nfilt=23, nfft=320, samplerate=1600... | Lime/Plot/plt_weight.py | import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
from scipy import interpolate
import Process_Data.constants as c
from Lime import gassuan_weight
from Process_Data.xfcc.common import get_filterbanks
timit_soft = get_filterbanks(nfilt=23, nfft=320, samplerate=1600... | 0.498047 | 0.35928 |
import unittest
try:
from unittest.mock import patch
except ImportError:
# Python 2 backport of mock
from mock import patch
import pythonfuzz.corpus as corpus
class FakeCorpus(object):
pass
class BaseTestMutators(unittest.TestCase):
"""
Test that the mutators objects are doing what we want... | testing_tool/fuzztool/tests/unittest_mutators.py | import unittest
try:
from unittest.mock import patch
except ImportError:
# Python 2 backport of mock
from mock import patch
import pythonfuzz.corpus as corpus
class FakeCorpus(object):
pass
class BaseTestMutators(unittest.TestCase):
"""
Test that the mutators objects are doing what we want... | 0.635675 | 0.658198 |
from __future__ import absolute_import, division, print_function, with_statement
from __future__ import unicode_literals
from deepstreampy.constants import topic as topic_constants
from deepstreampy.constants import actions
from deepstreampy.constants import event as event_constants
from deepstreampy.message import m... | deepstreampy/rpc.py |
from __future__ import absolute_import, division, print_function, with_statement
from __future__ import unicode_literals
from deepstreampy.constants import topic as topic_constants
from deepstreampy.constants import actions
from deepstreampy.constants import event as event_constants
from deepstreampy.message import m... | 0.765199 | 0.163179 |
__author__ = 'mahajrod'
import os
import numpy as np
from Parsers.VCF import CollectionVCF
from Parsers.CCF import CollectionCCF
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib import rcParams
from scipy.stats import chi2_contingency
from math import sqrt
def phi_coefficient_... | examples/desaminases/homogeneity_article_5_UTR.py | __author__ = 'mahajrod'
import os
import numpy as np
from Parsers.VCF import CollectionVCF
from Parsers.CCF import CollectionCCF
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib import rcParams
from scipy.stats import chi2_contingency
from math import sqrt
def phi_coefficient_... | 0.387922 | 0.26776 |
import torch
from torch_geometric.datasets import Planetoid, NELL
import torch.nn.functional as F
from torch_geometric.nn import GCNConv
class GCN(torch.nn.Module):
def __init__(self, num_node_features, num_classes):
super(GCN, self).__init__()
self.conv1 = GCNConv(num_node_features, 32)
s... | gcn.py | import torch
from torch_geometric.datasets import Planetoid, NELL
import torch.nn.functional as F
from torch_geometric.nn import GCNConv
class GCN(torch.nn.Module):
def __init__(self, num_node_features, num_classes):
super(GCN, self).__init__()
self.conv1 = GCNConv(num_node_features, 32)
s... | 0.894338 | 0.670797 |
import configuration
import csv
import json
import math
import matplotlib.pyplot as plt
parent_dir = 'cdf/raw/'
dir_names = ['instance_lifetime/', 'interval_arrivals/', 'popular_unpopular_instance_lifetime/']
meta_filename = 'meta.txt'
class MetaCDF(object):
def __init__(self, filename):
# Origin coo... | control/Control/src/schedule/cdf_transformer.py | import configuration
import csv
import json
import math
import matplotlib.pyplot as plt
parent_dir = 'cdf/raw/'
dir_names = ['instance_lifetime/', 'interval_arrivals/', 'popular_unpopular_instance_lifetime/']
meta_filename = 'meta.txt'
class MetaCDF(object):
def __init__(self, filename):
# Origin coo... | 0.689828 | 0.366363 |
from JumpScale import j
"""
make sure to load the ssh-agent before running this script"
"""
def createDocker(name, consume, parent, pf=''):
data = {
'docker.image': 'jumpscale/ubuntu1504',
'docker.portsforwards': pf,
'docker.volumes': '',
'jumpscale.branch': 'ays_unstable',
... | aysold/agent_multiple_docker.py | from JumpScale import j
"""
make sure to load the ssh-agent before running this script"
"""
def createDocker(name, consume, parent, pf=''):
data = {
'docker.image': 'jumpscale/ubuntu1504',
'docker.portsforwards': pf,
'docker.volumes': '',
'jumpscale.branch': 'ays_unstable',
... | 0.329392 | 0.153803 |
import unittest
from force_bdss.api import (
DataValue, ExecutionLayer, Workflow, InputSlotInfo
)
from force_bdss.tests.probe_classes.data_source import \
ProbeDataSourceFactory
from force_bdss.tests.probe_classes.factory_registry import (
ProbeFactoryRegistry
)
from force_bdss.tests.probe_classes.mco imp... | force_wfmanager/ui/setup/tests/wfmanager_base_test_case.py |
import unittest
from force_bdss.api import (
DataValue, ExecutionLayer, Workflow, InputSlotInfo
)
from force_bdss.tests.probe_classes.data_source import \
ProbeDataSourceFactory
from force_bdss.tests.probe_classes.factory_registry import (
ProbeFactoryRegistry
)
from force_bdss.tests.probe_classes.mco imp... | 0.538012 | 0.272509 |
import os
import time
import boto3
import shutil
import logging
import datetime
import subprocess
from botocore.exceptions import ClientError
VERSION = 0.5
# Configurable Variables
WALLET_NAME = 'default'
_FORMAT = 'zip'
COMP_MAP = {
'zip': '.zip',
'tar': '.tar',
'gztar': '.tar.gz',
'bztar': '.tar.bz... | blockchain_upload.py | import os
import time
import boto3
import shutil
import logging
import datetime
import subprocess
from botocore.exceptions import ClientError
VERSION = 0.5
# Configurable Variables
WALLET_NAME = 'default'
_FORMAT = 'zip'
COMP_MAP = {
'zip': '.zip',
'tar': '.tar',
'gztar': '.tar.gz',
'bztar': '.tar.bz... | 0.256459 | 0.056366 |
import logging
import re
import sys
from datetime import datetime
from pathlib import Path
HEADER = "// LemonUI for RageMP\n// Generated on {date}{comment}\n\n{statements}\n\n#define RAGEMP{code}\n"
LOGGER = logging.getLogger("merger")
RE_SPECIFIC_USINGS = re.compile("#e?l?if RAGEMP\n([a-zA-Z0-9; . =\n]*)\n(?:#elif|#... | ragemp.py | import logging
import re
import sys
from datetime import datetime
from pathlib import Path
HEADER = "// LemonUI for RageMP\n// Generated on {date}{comment}\n\n{statements}\n\n#define RAGEMP{code}\n"
LOGGER = logging.getLogger("merger")
RE_SPECIFIC_USINGS = re.compile("#e?l?if RAGEMP\n([a-zA-Z0-9; . =\n]*)\n(?:#elif|#... | 0.187951 | 0.111992 |
from __future__ import absolute_import, division, print_function, unicode_literals
from collections import OrderedDict
import torch
from torch import nn
from torch.distributions import Distribution
from .lazy import LazyTensor
from .variational import VariationalStrategy
class Module(nn.Module):
def __init__(s... | gpytorch/module.py | from __future__ import absolute_import, division, print_function, unicode_literals
from collections import OrderedDict
import torch
from torch import nn
from torch.distributions import Distribution
from .lazy import LazyTensor
from .variational import VariationalStrategy
class Module(nn.Module):
def __init__(s... | 0.934313 | 0.267797 |
from PyTrinamicMicro.platforms.motionpy2.modules.hc_sr04_multi import hc_sr04_multi
from PyTrinamicMicro.platforms.motionpy2.modules.MCP23S08 import MCP23S08
from PyTrinamic.modules.TMCM0960.TMCM0960 import TMCM0960
import logging
class linear_distance(object):
def __init__(self, sensor, sensor_index, module, len... | PyTrinamicMicro/platforms/motionpy2/modules/linear_distance.py | from PyTrinamicMicro.platforms.motionpy2.modules.hc_sr04_multi import hc_sr04_multi
from PyTrinamicMicro.platforms.motionpy2.modules.MCP23S08 import MCP23S08
from PyTrinamic.modules.TMCM0960.TMCM0960 import TMCM0960
import logging
class linear_distance(object):
def __init__(self, sensor, sensor_index, module, len... | 0.491944 | 0.157331 |
import os
import json
def handler(event, context):
"""
Handles requests to start games from the game client.
By design of the deployment scenario, this function is stubbed to always return a 501 (Not implemented) error.
However, the lambda echoes the lambda environment variable as well as the playe... | Editor/Resources/CloudFormation/scenario1_auth_only/lambda/game_request.py |
import os
import json
def handler(event, context):
"""
Handles requests to start games from the game client.
By design of the deployment scenario, this function is stubbed to always return a 501 (Not implemented) error.
However, the lambda echoes the lambda environment variable as well as the playe... | 0.600423 | 0.382833 |
from MDSplus import mdsExceptions, Device, Data
class PV_WAVE_SETUP(Device):
"""Epics Waveform Configurator"""
parts = [{'path': ':BOARD_ID', 'type': 'numeric', 'value': 0},
{'path': ':COMMENT', 'type': 'text'},
{'path': ':TRIG_SOURCE', 'type': 'numeric', 'value': 0},
{... | pydevices/RfxDevices/PV_WAVE_SETUP.py | from MDSplus import mdsExceptions, Device, Data
class PV_WAVE_SETUP(Device):
"""Epics Waveform Configurator"""
parts = [{'path': ':BOARD_ID', 'type': 'numeric', 'value': 0},
{'path': ':COMMENT', 'type': 'text'},
{'path': ':TRIG_SOURCE', 'type': 'numeric', 'value': 0},
{... | 0.267121 | 0.133246 |
from django.db.models.signals import post_save
from django.dispatch import receiver
from researchhub_case.constants.case_constants import APPROVED, INITIATED
from researchhub_case.models import AuthorClaimCase
from researchhub_case.utils.author_claim_case_utils import (
get_new_validation_token,
reward_author_clai... | src/researchhub_case/signals/author_claiming_case_signals.py | from django.db.models.signals import post_save
from django.dispatch import receiver
from researchhub_case.constants.case_constants import APPROVED, INITIATED
from researchhub_case.models import AuthorClaimCase
from researchhub_case.utils.author_claim_case_utils import (
get_new_validation_token,
reward_author_clai... | 0.425486 | 0.16248 |
import math
import numpy as np
import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras import backend as K
class PositionLayer(tf.keras.layers.Layer):
def __init__(self, embedding_size, **kwargs):
self.embedding_size = embedding_size
super(PositionLayer, self).__init__(*... | transformer/tensorflow/tf1.15_hvd/layers.py | import math
import numpy as np
import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras import backend as K
class PositionLayer(tf.keras.layers.Layer):
def __init__(self, embedding_size, **kwargs):
self.embedding_size = embedding_size
super(PositionLayer, self).__init__(*... | 0.825625 | 0.480966 |
from pytown_core.serializers import IJSONSerializable
from .inventory import Inventory, Item
class BackgroundCreator:
def create_grass_backgound(self):
return Background("grass", ["house", "sawmill"], 1)
def create_water_background(self):
return Background("water", [], 0.5)
def create_r... | src/pytown_model/entity.py | from pytown_core.serializers import IJSONSerializable
from .inventory import Inventory, Item
class BackgroundCreator:
def create_grass_backgound(self):
return Background("grass", ["house", "sawmill"], 1)
def create_water_background(self):
return Background("water", [], 0.5)
def create_r... | 0.668664 | 0.208541 |
import unittest
from unittest.mock import Mock
import rclpy
from rclpy.handle import Handle
from rclpy.impl.implementation_singleton import rclpy_implementation as _rclpy
from rclpy.qos_event import PublisherEventCallbacks
from rclpy.qos_event import QoSLivelinessChangedInfo
from rclpy.qos_event import QoSLivelinessL... | rclpy/test/test_qos_event.py |
import unittest
from unittest.mock import Mock
import rclpy
from rclpy.handle import Handle
from rclpy.impl.implementation_singleton import rclpy_implementation as _rclpy
from rclpy.qos_event import PublisherEventCallbacks
from rclpy.qos_event import QoSLivelinessChangedInfo
from rclpy.qos_event import QoSLivelinessL... | 0.628065 | 0.233286 |