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 os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # Suppress TensorFlow logging (1)
import pathlib
import tensorflow as tf
import cv2
import argparse
tf.get_logger().setLevel('ERROR') # Suppress TensorFlow logging (2)
parser = argparse.ArgumentParser()
parser.add_argument('--model', help='Folder that th... | workspace/training_demo/TF-image-od.py | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # Suppress TensorFlow logging (1)
import pathlib
import tensorflow as tf
import cv2
import argparse
tf.get_logger().setLevel('ERROR') # Suppress TensorFlow logging (2)
parser = argparse.ArgumentParser()
parser.add_argument('--model', help='Folder that th... | 0.696887 | 0.255602 |
import pandas
from typing import Union
from libs.stock import Stock
from libs.indicators import Indicators
from . import ExamplesInterface
from .common.trigger import get_entry_momment
class ChineseExample(Stock, ExamplesInterface):
dataframe: pandas.DataFrame
market_orders_stock_details: list = []
def... | examples/chinese.py | import pandas
from typing import Union
from libs.stock import Stock
from libs.indicators import Indicators
from . import ExamplesInterface
from .common.trigger import get_entry_momment
class ChineseExample(Stock, ExamplesInterface):
dataframe: pandas.DataFrame
market_orders_stock_details: list = []
def... | 0.789721 | 0.306311 |
from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from swagger_client.api_client import ApiClient
class CategoriesApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
... | python/swagger_client/api/categories_api.py | from __future__ import absolute_import
import re # noqa: F401
# python 2 and python 3 compatibility library
import six
from swagger_client.api_client import ApiClient
class CategoriesApi(object):
"""NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
... | 0.779364 | 0.05647 |
import pycaption
from django import http
from django.shortcuts import get_object_or_404
from airmozilla.closedcaptions.models import ClosedCaptions
class TxtWriter(pycaption.base.BaseWriter):
def write(self, caption_set):
lang = caption_set.get_languages()[0]
captions = caption_set.get_captions(... | airmozilla/closedcaptions/views.py | import pycaption
from django import http
from django.shortcuts import get_object_or_404
from airmozilla.closedcaptions.models import ClosedCaptions
class TxtWriter(pycaption.base.BaseWriter):
def write(self, caption_set):
lang = caption_set.get_languages()[0]
captions = caption_set.get_captions(... | 0.394784 | 0.093017 |
from bcc import BPF
from pykambpf import UpdatesBuffer, CallGraph, KambpfList
from random import shuffle
import subprocess
from os import getenv
from pathlib import Path
def reload_module():
subprocess.run([getenv("kambpf_reload"), "unload"])
subprocess.run([getenv("kamprobes_reload"), "unload"])
subproce... | pykambpf/dummy_probes.py |
from bcc import BPF
from pykambpf import UpdatesBuffer, CallGraph, KambpfList
from random import shuffle
import subprocess
from os import getenv
from pathlib import Path
def reload_module():
subprocess.run([getenv("kambpf_reload"), "unload"])
subprocess.run([getenv("kamprobes_reload"), "unload"])
subproce... | 0.435661 | 0.172346 |
load(
"//databricks/private/common:common.bzl",
"CHECK_CONFIG_FILE",
"CMD_INSTANCE_POOL_ID",
"CMD_INSTANCE_POOL_INFO",
"DATABRICKS_TOOLCHAIN",
)
load("//databricks/private/common:utils.bzl", "utils")
load("//databricks/private:providers/providers.bzl", "ConfigureInfo")
load("@bazel_skylib//lib:dicts... | databricks/private/rules/instance_pools/main.bzl | load(
"//databricks/private/common:common.bzl",
"CHECK_CONFIG_FILE",
"CMD_INSTANCE_POOL_ID",
"CMD_INSTANCE_POOL_INFO",
"DATABRICKS_TOOLCHAIN",
)
load("//databricks/private/common:utils.bzl", "utils")
load("//databricks/private:providers/providers.bzl", "ConfigureInfo")
load("@bazel_skylib//lib:dicts... | 0.340266 | 0.107017 |
__all__ = [
'make_read_write_lock',
]
import threading
from g1.bases.assertions import ASSERT
def make_read_write_lock():
rwlock = ReadWriteLock()
return (
LockLike(rwlock.reader_acquire, rwlock.reader_release),
LockLike(rwlock.writer_acquire, rwlock.writer_release),
)
class LockLi... | py/g1/threads/g1/threads/locks.py | __all__ = [
'make_read_write_lock',
]
import threading
from g1.bases.assertions import ASSERT
def make_read_write_lock():
rwlock = ReadWriteLock()
return (
LockLike(rwlock.reader_acquire, rwlock.reader_release),
LockLike(rwlock.writer_acquire, rwlock.writer_release),
)
class LockLi... | 0.520496 | 0.174762 |
from random import randint
from getpass import getpass
import string
# this generates the dictionary that the cypher uses
allprint = dict((k,v) for v,k in enumerate(string.printable))
# remove the useless characters
del allprint['\t']
del allprint['\n']
del allprint['\r']
del allprint['\x0c']
del allprint['\x0b']
# ... | encryption_1.py | from random import randint
from getpass import getpass
import string
# this generates the dictionary that the cypher uses
allprint = dict((k,v) for v,k in enumerate(string.printable))
# remove the useless characters
del allprint['\t']
del allprint['\n']
del allprint['\r']
del allprint['\x0c']
del allprint['\x0b']
# ... | 0.174903 | 0.169406 |
import sys
import jax
import jax.numpy as jnp
import chex
import numpy as np
import haiku as hk
from absl.testing import absltest
import rljaxff.alpha_zero.network as net_lib
# pylint: disable=missing-class-docstring
# pylint: disable=missing-function-docstring
# pylint: disable=protected-access
def _sample_input(... | rljaxff/alpha_zero/network_test.py | import sys
import jax
import jax.numpy as jnp
import chex
import numpy as np
import haiku as hk
from absl.testing import absltest
import rljaxff.alpha_zero.network as net_lib
# pylint: disable=missing-class-docstring
# pylint: disable=missing-function-docstring
# pylint: disable=protected-access
def _sample_input(... | 0.359252 | 0.31785 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from typing import Any
from rasa_nlu.extractors import EntityExtractor
from rasa_nlu.training_data import Message
class OrderCodeExtractor(EntityExtractor):
name =... | rasa_nlu/extractors/order_code_extractor.py | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from typing import Any
from rasa_nlu.extractors import EntityExtractor
from rasa_nlu.training_data import Message
class OrderCodeExtractor(EntityExtractor):
name =... | 0.591133 | 0.162912 |
from beem.utils import formatTimeString, resolve_authorperm, construct_authorperm, addTzInfo
from beem.nodelist import NodeList
from beem.comment import Comment
from beem import Steem
from beem.account import Account
from beem.instance import set_shared_steem_instance
from beem.blockchain import Blockchain
import time ... | upvote_post_comments.py | from beem.utils import formatTimeString, resolve_authorperm, construct_authorperm, addTzInfo
from beem.nodelist import NodeList
from beem.comment import Comment
from beem import Steem
from beem.account import Account
from beem.instance import set_shared_steem_instance
from beem.blockchain import Blockchain
import time ... | 0.215846 | 0.113383 |
# Author: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: MIT License
import numpy as np
import ot
def test_gromov():
n_samples = 50 # nb samples
mu_s = np.array([0, 0])
cov_s = np.array([[1, 0], [0, 1]])
xs = ot.datasets.make_2D_samples_gauss(... | test/test_gromov.py |
# Author: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: MIT License
import numpy as np
import ot
def test_gromov():
n_samples = 50 # nb samples
mu_s = np.array([0, 0])
cov_s = np.array([[1, 0], [0, 1]])
xs = ot.datasets.make_2D_samples_gauss(... | 0.545286 | 0.557062 |
import os
import datetime
import requests
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from pangea.core.encrypted_fields import EncryptedString
from pangea.core.models import (
PangeaUser,
Organization,
Sample,
Pipeline,
PipelineModul... | pangea/core/tests/test_api_work_order.py | import os
import datetime
import requests
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APITestCase
from pangea.core.encrypted_fields import EncryptedString
from pangea.core.models import (
PangeaUser,
Organization,
Sample,
Pipeline,
PipelineModul... | 0.573201 | 0.234571 |
import math as m
from typing import Iterable, NamedTuple, Set
from .types import FloatColor, Int, IntColor
__all__ = ["Palette"]
class RGBCIELABColor(NamedTuple):
rgb: IntColor
cielab: FloatColor
class CIE:
"""
A helper class of static methods for CIE-related functions
"""
SRGB_TO_CIEXYZ_... | coloromo/color.py | import math as m
from typing import Iterable, NamedTuple, Set
from .types import FloatColor, Int, IntColor
__all__ = ["Palette"]
class RGBCIELABColor(NamedTuple):
rgb: IntColor
cielab: FloatColor
class CIE:
"""
A helper class of static methods for CIE-related functions
"""
SRGB_TO_CIEXYZ_... | 0.901645 | 0.551332 |
import logging
import unittest
from quantum.common import exceptions as exc
from quantum.openstack.common import importutils
from quantum.plugins.cisco.common import cisco_constants as const
from quantum.plugins.cisco.common import cisco_credentials as creds
from quantum.plugins.cisco.db import api as db
from quantum... | quantum/plugins/cisco/tests/unit/test_l2network_multi_blade.py |
import logging
import unittest
from quantum.common import exceptions as exc
from quantum.openstack.common import importutils
from quantum.plugins.cisco.common import cisco_constants as const
from quantum.plugins.cisco.common import cisco_credentials as creds
from quantum.plugins.cisco.db import api as db
from quantum... | 0.553747 | 0.168583 |
import sys
import os
import tweepy
import json
class TokenManager:
def write_config_json(self, api_key, api_secret, access_token, access_token_secret):
cfg_dict = {}
cfg_dict['api_key'] = api_key
cfg_dict['api_secret'] = api_secret
cfg_dict['access_token'] = access_token
cf... | modules/manager.py |
import sys
import os
import tweepy
import json
class TokenManager:
def write_config_json(self, api_key, api_secret, access_token, access_token_secret):
cfg_dict = {}
cfg_dict['api_key'] = api_key
cfg_dict['api_secret'] = api_secret
cfg_dict['access_token'] = access_token
cf... | 0.160332 | 0.038142 |
from transformers.modeling_roberta import RobertaForMultipleChoice
from transformers.modeling_outputs import MultipleChoiceModelOutput
from torch.nn import CrossEntropyLoss
class RobertaForVariableMultipleChoice(RobertaForMultipleChoice):
def forward(
self,
input_ids=None,
token_type_ids=N... | RoBERTa/adapted_hf.py | from transformers.modeling_roberta import RobertaForMultipleChoice
from transformers.modeling_outputs import MultipleChoiceModelOutput
from torch.nn import CrossEntropyLoss
class RobertaForVariableMultipleChoice(RobertaForMultipleChoice):
def forward(
self,
input_ids=None,
token_type_ids=N... | 0.798069 | 0.229654 |
import time
import datetime
import re
import argparse
from mylogging import logger
from selenium import webdriver
import pandas as pd
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from urllib3.exceptions import MaxRetryError
from selenium.common.exceptions import WebDriverException
#... | code/insert_data.py | import time
import datetime
import re
import argparse
from mylogging import logger
from selenium import webdriver
import pandas as pd
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from urllib3.exceptions import MaxRetryError
from selenium.common.exceptions import WebDriverException
#... | 0.305801 | 0.087603 |
import numpy as np
from utils.proto_msp import ProtoMSP
import time
import pickle
from utils.misc import print_params
from utils.misc import load_features
from utils.misc import parse_args
from utils.misc import create_episode
from utils.misc import get_features
def run_episode(train_mean, cl_data_file, model, n_way... | src/exp_run_time.py |
import numpy as np
from utils.proto_msp import ProtoMSP
import time
import pickle
from utils.misc import print_params
from utils.misc import load_features
from utils.misc import parse_args
from utils.misc import create_episode
from utils.misc import get_features
def run_episode(train_mean, cl_data_file, model, n_way... | 0.307774 | 0.315327 |
#%%##############################
# 리스트는 어떻게 만들고 사용할까 #
#################################
# n개의 요소를 포함하는 리스트를 만들기
# 리스트명 = [요소0, 요소1, ...요소n-1]
odd = [1, 3, 5, 7, 9]
# 다양한 리스트의 생김새
# d,e처럼 숫자와 문자열을 함께 요소값으로 가질 수 있다.
a = []
b = [1,2,3]
c = ['Life','is','too','short']
d = [1,2,'Life','is']
e = [1,2,['Life... | python/en/archive/books/jump2python/j2p-02_3-list.py | #%%##############################
# 리스트는 어떻게 만들고 사용할까 #
#################################
# n개의 요소를 포함하는 리스트를 만들기
# 리스트명 = [요소0, 요소1, ...요소n-1]
odd = [1, 3, 5, 7, 9]
# 다양한 리스트의 생김새
# d,e처럼 숫자와 문자열을 함께 요소값으로 가질 수 있다.
a = []
b = [1,2,3]
c = ['Life','is','too','short']
d = [1,2,'Life','is']
e = [1,2,['Life... | 0.118704 | 0.430536 |
import os
import gzip
import re
import shutil
ptrs = []
def add_patterns():
ptrs.append(re.compile('^\[[0-2][0-9]:[0-9][0-9]:[0-9][0-9]\] \[Client thread/ERROR\]: '))
ptrs.append(re.compile('^\[[0-2][0-9]:[0-9][0-9]:[0-9][0-9]\] \[Client thread/WARN\]: '))
def matching(txt):
for ptr in ptrs:
... | MCLogConverter.py | import os
import gzip
import re
import shutil
ptrs = []
def add_patterns():
ptrs.append(re.compile('^\[[0-2][0-9]:[0-9][0-9]:[0-9][0-9]\] \[Client thread/ERROR\]: '))
ptrs.append(re.compile('^\[[0-2][0-9]:[0-9][0-9]:[0-9][0-9]\] \[Client thread/WARN\]: '))
def matching(txt):
for ptr in ptrs:
... | 0.063824 | 0.055669 |
from django.http import HttpResponse, HttpResponseBadRequest
from django.shortcuts import render, redirect
from .models import Customuser, Application
from django.contrib.auth import login, logout, authenticate
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm, Authentic... | users/views.py | from django.http import HttpResponse, HttpResponseBadRequest
from django.shortcuts import render, redirect
from .models import Customuser, Application
from django.contrib.auth import login, logout, authenticate
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm, Authentic... | 0.348202 | 0.062732 |
from datetime import datetime, timezone
from enum import Enum
from typing import List, Any
from dateutil import parser
class KeyType(Enum):
DIMENSION = 1
TIMESTAMP = 2
UNKNOWN = 10
class Key:
"""
A record in the store is identified by a key
"""
PARTITION = '/'
DIMENSION_PARTITION = ... | blurr/core/store_key.py | from datetime import datetime, timezone
from enum import Enum
from typing import List, Any
from dateutil import parser
class KeyType(Enum):
DIMENSION = 1
TIMESTAMP = 2
UNKNOWN = 10
class Key:
"""
A record in the store is identified by a key
"""
PARTITION = '/'
DIMENSION_PARTITION = ... | 0.640186 | 0.415254 |
import argparse as ap
def _args_parse():
""" Allows for command line hyperparameter inputs to models
Description
------------
--image_size: Sets up the size of a square image, default is 32*32 for CIFAR10
--features : Sizes of convolutional feature maps, the first one ought to be 3 corresponding to RGB channe... | parseargs_convnn.py |
import argparse as ap
def _args_parse():
""" Allows for command line hyperparameter inputs to models
Description
------------
--image_size: Sets up the size of a square image, default is 32*32 for CIFAR10
--features : Sizes of convolutional feature maps, the first one ought to be 3 corresponding to RGB channe... | 0.707 | 0.436562 |
import argparse
import json
import sys
from os import listdir
from os.path import join
import numpy as np
import pandas as pd
from src.utilities import mkdir_if_needed
def query_yes_no(question, default="no"):
"""Ask a yes/no question via raw_input() and return their answer.
"question" is a string that is p... | src/data/make_data_overview.py | import argparse
import json
import sys
from os import listdir
from os.path import join
import numpy as np
import pandas as pd
from src.utilities import mkdir_if_needed
def query_yes_no(question, default="no"):
"""Ask a yes/no question via raw_input() and return their answer.
"question" is a string that is p... | 0.381335 | 0.306813 |
import json
from app.main.model.sensor_type import SensorType
from app.main.repository.device_group_repository import DeviceGroupRepository
from app.main.util.auth_utils import Auth
from app.main.util.constants import Constants
def test_get_sensor_type_info_should_return_sensor_info_when_valid_request(
clien... | app/test/integrationtest/test_sensor_type.py | import json
from app.main.model.sensor_type import SensorType
from app.main.repository.device_group_repository import DeviceGroupRepository
from app.main.util.auth_utils import Auth
from app.main.util.constants import Constants
def test_get_sensor_type_info_should_return_sensor_info_when_valid_request(
clien... | 0.535584 | 0.269254 |
from datetime import datetime, timedelta
import re
import core.db.reminders_db as db
import core.nomic_time as nomic_time
from core.log import log
from config.config import PREFIX
import core.utils as utils
def set_new_reminder(userId: str,
messageId: int,
channelId: int,
... | core/reminders.py | from datetime import datetime, timedelta
import re
import core.db.reminders_db as db
import core.nomic_time as nomic_time
from core.log import log
from config.config import PREFIX
import core.utils as utils
def set_new_reminder(userId: str,
messageId: int,
channelId: int,
... | 0.662578 | 0.142113 |
import collections
class BigListError(StandardError):
pass
class bigList:
"""A list-like structure for managing allot (possibly infinite) data."""
def __init__(self, prefix, iterable=None, minChunkSize=2**8, database = None):
if database == None:
raise BigListError("Must specify a datab... | bigList.py | import collections
class BigListError(StandardError):
pass
class bigList:
"""A list-like structure for managing allot (possibly infinite) data."""
def __init__(self, prefix, iterable=None, minChunkSize=2**8, database = None):
if database == None:
raise BigListError("Must specify a datab... | 0.525125 | 0.219024 |
__author__ = "<NAME>"
__contact__ = "University of Freiburg, IMTEK, <NAME>"
__credits__ = "<NAME>"
__version__ = "1.0.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>, <EMAIL>"
# Import dependencies
from tkinter import *
from tkinter.ttk import *
from FreiStat.Data_storage.constants import *
from FreiStat.Methods.ru... | Python/FreiStat_GUI/Main_Window/Experiment.py | __author__ = "<NAME>"
__contact__ = "University of Freiburg, IMTEK, <NAME>"
__credits__ = "<NAME>"
__version__ = "1.0.0"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>, <EMAIL>"
# Import dependencies
from tkinter import *
from tkinter.ttk import *
from FreiStat.Data_storage.constants import *
from FreiStat.Methods.ru... | 0.604282 | 0.095983 |
from functools import partial
import os
from random import randint
from uuid import uuid4
from pandas import DataFrame
from numpy.random import binomial
from plumbum import local
from plumbum.cmd import picard
import wrapt
from fmbiopy.obj import get_param_names, replace_param_sig
from fmbiopy.paths import is_empty
... | test/helpers.py | from functools import partial
import os
from random import randint
from uuid import uuid4
from pandas import DataFrame
from numpy.random import binomial
from plumbum import local
from plumbum.cmd import picard
import wrapt
from fmbiopy.obj import get_param_names, replace_param_sig
from fmbiopy.paths import is_empty
... | 0.776029 | 0.339636 |
import unittest
from tahoma.protocol import Protocol
from test_protocol_getSetup import SetupInput
class TestProtocolGetStates(unittest.TestCase):
def test_requestBuilding(self):
tahoma = Protocol("", "", unittest=1 )
tahoma._getSetup(SetupInput) # only for unit tests
light = tahoma.getD... | tests/test_protocol_getStates.py | import unittest
from tahoma.protocol import Protocol
from test_protocol_getSetup import SetupInput
class TestProtocolGetStates(unittest.TestCase):
def test_requestBuilding(self):
tahoma = Protocol("", "", unittest=1 )
tahoma._getSetup(SetupInput) # only for unit tests
light = tahoma.getD... | 0.521227 | 0.434881 |
import random
import numpy as np
import torch
from torchvision import transforms as T
from torchvision.transforms import functional as F
def pad_if_smaller(img, size, fill=0):
size = (size, size) if isinstance(size, int) else size
h, w = size
min_size = min(img.size)
ow, oh = img.size
if ow < w o... | seg_transforms/transforms.py | import random
import numpy as np
import torch
from torchvision import transforms as T
from torchvision.transforms import functional as F
def pad_if_smaller(img, size, fill=0):
size = (size, size) if isinstance(size, int) else size
h, w = size
min_size = min(img.size)
ow, oh = img.size
if ow < w o... | 0.742982 | 0.464294 |
import numpy as np
import cv2
import sys
import open3d as o3d
from pylibfreenect2 import Freenect2, SyncMultiFrameListener
from pylibfreenect2 import FrameType, Registration, Frame
pic_counter = 0
try:
from pylibfreenect2 import OpenGLPacketPipeline
pipeline = OpenGLPacketPipeline()
except:
try:
... | 1.DepthFromKinect/Python/KinectV2Depth.py |
import numpy as np
import cv2
import sys
import open3d as o3d
from pylibfreenect2 import Freenect2, SyncMultiFrameListener
from pylibfreenect2 import FrameType, Registration, Frame
pic_counter = 0
try:
from pylibfreenect2 import OpenGLPacketPipeline
pipeline = OpenGLPacketPipeline()
except:
try:
... | 0.297266 | 0.206494 |
import re
from random import choice
import requests
class Wiwj(object):
def __init__(self):
"""
75163套 按每页30个 共有2506页
"""
self.start_url = 'https://sh.5i5j.com/ershoufang/'
# self.proxies = {"http": "http://localhost:1080", "https": "http://localhost:1080", }
... | 5i5j/wiwj.py |
import re
from random import choice
import requests
class Wiwj(object):
def __init__(self):
"""
75163套 按每页30个 共有2506页
"""
self.start_url = 'https://sh.5i5j.com/ershoufang/'
# self.proxies = {"http": "http://localhost:1080", "https": "http://localhost:1080", }
... | 0.05647 | 0.133443 |
import os
import sys
sys.path.insert(0, os.path.join(os.getcwd(), "asm"))
import clr
clr.AddReference("WatiN.Core")
from WatiN.Core import *
from System import *
from System.Threading import Thread, ApartmentState, ThreadStart
from math import floor
def ThreadMain():
try:
ie1 = IE.AttachTo[IE](Find.By... | gerip.py | import os
import sys
sys.path.insert(0, os.path.join(os.getcwd(), "asm"))
import clr
clr.AddReference("WatiN.Core")
from WatiN.Core import *
from System import *
from System.Threading import Thread, ApartmentState, ThreadStart
from math import floor
def ThreadMain():
try:
ie1 = IE.AttachTo[IE](Find.By... | 0.043834 | 0.169509 |
# TODO: Warning - "/usr/local/lib/python3.8/dist-packages/gpiozero/output_devices.py:1532: PWMSoftwareFallback: To reduce servo jitter, use the pigpio pin factory.See https://gpiozero.readthedocs.io/en/stable/api_output.html#servo for more info"
# warnings.warn(PWMSoftwareFallback()
# $ export GPIOZERO_PIN_FAC... | pet_ros2_lightbeacon_pkg/pet_light_beacon_node.py |
# TODO: Warning - "/usr/local/lib/python3.8/dist-packages/gpiozero/output_devices.py:1532: PWMSoftwareFallback: To reduce servo jitter, use the pigpio pin factory.See https://gpiozero.readthedocs.io/en/stable/api_output.html#servo for more info"
# warnings.warn(PWMSoftwareFallback()
# $ export GPIOZERO_PIN_FAC... | 0.346099 | 0.179064 |
import cv2 as cv
import dlib
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torchvision.transforms as transforms
from config import device
from retinaface.detector import Detector
from utils.ddfa import ToTensorGjz, NormalizeGjz, _parse_param
from utils.inference import crop_img, parse_roi... | extract.py | import cv2 as cv
import dlib
import numpy as np
import torch
import torch.backends.cudnn as cudnn
import torchvision.transforms as transforms
from config import device
from retinaface.detector import Detector
from utils.ddfa import ToTensorGjz, NormalizeGjz, _parse_param
from utils.inference import crop_img, parse_roi... | 0.366023 | 0.31012 |
from uuid import UUID
from rest_framework.exceptions import PermissionDenied, ValidationError
from rest_framework.generics import get_object_or_404
from rest_framework.permissions import IsAuthenticated
from rest_framework.viewsets import ModelViewSet
from vbb_backend.program.api.serializers.slotMentor import (
Me... | vbb_backend/program/api/viewsets/slotMentor.py | from uuid import UUID
from rest_framework.exceptions import PermissionDenied, ValidationError
from rest_framework.generics import get_object_or_404
from rest_framework.permissions import IsAuthenticated
from rest_framework.viewsets import ModelViewSet
from vbb_backend.program.api.serializers.slotMentor import (
Me... | 0.45423 | 0.13452 |
""" Module definition for intranetsgdf. """
from datetime import date as _date
from visyerres_sgdf_woob.backend import Module as _Module
from visyerres_sgdf_woob.capabilities import (
BankAccount as _BankAccount, Person as _Person,
Structure as _Structure,
)
from visyerres_sgdf_woob.utils import IID as _IID
f... | visyerres_sgdf_woob/modules/intranetsgdf/module.py | """ Module definition for intranetsgdf. """
from datetime import date as _date
from visyerres_sgdf_woob.backend import Module as _Module
from visyerres_sgdf_woob.capabilities import (
BankAccount as _BankAccount, Person as _Person,
Structure as _Structure,
)
from visyerres_sgdf_woob.utils import IID as _IID
f... | 0.613121 | 0.128443 |
from abc import ABCMeta, abstractmethod
from utils.magnet_info import MagnetInfo
from utils.title_checker import TitleChecker
from utils.web_delegate import WebDelegate
from utils.history_delegate import HistoryDelegate
from utils.transmission_delegate import TransmissionDelegate
from scraper.board_item_iterator impor... | scraper/scraper.py | from abc import ABCMeta, abstractmethod
from utils.magnet_info import MagnetInfo
from utils.title_checker import TitleChecker
from utils.web_delegate import WebDelegate
from utils.history_delegate import HistoryDelegate
from utils.transmission_delegate import TransmissionDelegate
from scraper.board_item_iterator impor... | 0.490724 | 0.067148 |
import numpy as np
import torch
import re
import nltk
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
TensorDataset)
from torc... | binary_classifier.py | import numpy as np
import torch
import re
import nltk
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
TensorDataset)
from torc... | 0.907586 | 0.382949 |
from osrsmath.general.skills import *
import unittest
class TestExperience(unittest.TestCase):
def test_experience_for_levels_below_1_raises(self):
self.assertRaises(ValueError, lambda:experience(0))
self.assertRaises(ValueError, lambda:experience(-3))
def test_experience_for_levels_above_level_cap_with... | osrsmath/tests/general/test_skills.py | from osrsmath.general.skills import *
import unittest
class TestExperience(unittest.TestCase):
def test_experience_for_levels_below_1_raises(self):
self.assertRaises(ValueError, lambda:experience(0))
self.assertRaises(ValueError, lambda:experience(-3))
def test_experience_for_levels_above_level_cap_with... | 0.435902 | 0.505615 |
import sys
import re
import numpy as np
import argparse
def get_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("-f", "--file", dest="source_file", help="File with Scan commands")
parser.add_argument("-o", "--output", dest="output_file", help="File generated with Put Commands")
op... | python/hbase/scanToPut.py |
import sys
import re
import numpy as np
import argparse
def get_arguments():
parser = argparse.ArgumentParser()
parser.add_argument("-f", "--file", dest="source_file", help="File with Scan commands")
parser.add_argument("-o", "--output", dest="output_file", help="File generated with Put Commands")
op... | 0.254324 | 0.225076 |
from django.db import transaction
from django.http import JsonResponse
from django.views.generic import (
TemplateView, View, ListView, DetailView
)
from django.views.generic.edit import (
FormMixin, CreateView, UpdateView
)
from .forms import (
AttachmentForm, PostFileForm, PostFileAttachmentForm, PostFor... | fileupload/views.py | from django.db import transaction
from django.http import JsonResponse
from django.views.generic import (
TemplateView, View, ListView, DetailView
)
from django.views.generic.edit import (
FormMixin, CreateView, UpdateView
)
from .forms import (
AttachmentForm, PostFileForm, PostFileAttachmentForm, PostFor... | 0.467818 | 0.094678 |
import sys,re
import pandas as pd
import numpy as np
import spacy
from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS
from string import punctuation,printable
nlp = spacy.load('en')
if not sys.version_info.major == 3:
raise Exception("Need to run with Python 3")
# Load the spacy.en module if i... | text_processing.py | import sys,re
import pandas as pd
import numpy as np
import spacy
from sklearn.feature_extraction.stop_words import ENGLISH_STOP_WORDS
from string import punctuation,printable
nlp = spacy.load('en')
if not sys.version_info.major == 3:
raise Exception("Need to run with Python 3")
# Load the spacy.en module if i... | 0.289071 | 0.156846 |
import base64
import os
import time
from arjuna.tpi.enums import ArjunaOption
from arjuna.interact.gui.auto.impl.base.element_container import ElementContainer
from .drivercaps import DriverCapabilities
from arjuna.interact.gui.auto.impl.source.parser import ElementXMLSourceParser
from arjuna.interact.gui.auto.dispatc... | arjuna/interact/gui/auto/impl/automator/__init__.py | import base64
import os
import time
from arjuna.tpi.enums import ArjunaOption
from arjuna.interact.gui.auto.impl.base.element_container import ElementContainer
from .drivercaps import DriverCapabilities
from arjuna.interact.gui.auto.impl.source.parser import ElementXMLSourceParser
from arjuna.interact.gui.auto.dispatc... | 0.516595 | 0.076339 |
import re
import time
import threading
from enum import Enum
import concurrent.futures as cf
class Engine:
def __init__(self, window):
self.window = window
self.reader = None
self.dispatcher = Dispatcher()
# thread safe
self.started = False
self.reader_in_use = False... | src/acc_monitor/controller/engine.py | import re
import time
import threading
from enum import Enum
import concurrent.futures as cf
class Engine:
def __init__(self, window):
self.window = window
self.reader = None
self.dispatcher = Dispatcher()
# thread safe
self.started = False
self.reader_in_use = False... | 0.374448 | 0.168754 |
from iot_api import bcrypt
from iot_api.user_api.enums import RoleTypes
from iot_api.user_api.models.DataCollector import *
from iot_api.user_api import Error
from iot_api import config
from sqlalchemy import Table, Column, ForeignKey, func, desc, asc, cast, case, and_, or_, distinct, \
DateTime, String, Integer, ... | iot_api/user_api/model.py | from iot_api import bcrypt
from iot_api.user_api.enums import RoleTypes
from iot_api.user_api.models.DataCollector import *
from iot_api.user_api import Error
from iot_api import config
from sqlalchemy import Table, Column, ForeignKey, func, desc, asc, cast, case, and_, or_, distinct, \
DateTime, String, Integer, ... | 0.517083 | 0.123207 |
from math import factorial, inf
from random import randint
from genetic_algorithm.crossover import apply_crossover
from genetic_algorithm.mutation import apply_mutation
class NonDominatedSorter:
'''
Class for sorting the population by objective fitness scores
Sorts by using a non-dominated sortin... | genetic_algorithm/nds.py | from math import factorial, inf
from random import randint
from genetic_algorithm.crossover import apply_crossover
from genetic_algorithm.mutation import apply_mutation
class NonDominatedSorter:
'''
Class for sorting the population by objective fitness scores
Sorts by using a non-dominated sortin... | 0.406862 | 0.473962 |
import StringIO
import time
import sys
from pydoc import pager
import termcolor as T
from subprocess import Popen, PIPE
try:
import dpkt
except:
dpkt = False
def collect(ntuple, sep='\n'):
lst = []
for field in ntuple._fields:
val = getattr(ntuple, field)
lst.append("%s=%s" % (field, v... | recorder/utils.py | import StringIO
import time
import sys
from pydoc import pager
import termcolor as T
from subprocess import Popen, PIPE
try:
import dpkt
except:
dpkt = False
def collect(ntuple, sep='\n'):
lst = []
for field in ntuple._fields:
val = getattr(ntuple, field)
lst.append("%s=%s" % (field, v... | 0.279927 | 0.12363 |
metadict_army['Генеральный штаб'] = {
'Командование Генерального штаба':1,
'Главное оперативное управление':1,
'Главное разведывательное управление':1,
'Главное организационное управление':1,
'Военно-научное управление':1,
'Управление военных сообщений':1,
'Управ... | dict/foe_army_command.py |
metadict_army['Генеральный штаб'] = {
'Командование Генерального штаба':1,
'Главное оперативное управление':1,
'Главное разведывательное управление':1,
'Главное организационное управление':1,
'Военно-научное управление':1,
'Управление военных сообщений':1,
'Управ... | 0.121699 | 0.296692 |
import numpy as np
from sympy import *
# Main object
class Robot:
def __init__(self, name = ''):
"""Object constructor
Args:
name (str, optional): robot's name (if any)
"""
# Robot's name
self.name = name
# Inherited
class Serial(Robot):
"""Serial Robot
Args:
Rob... | lib/Robot.py | import numpy as np
from sympy import *
# Main object
class Robot:
def __init__(self, name = ''):
"""Object constructor
Args:
name (str, optional): robot's name (if any)
"""
# Robot's name
self.name = name
# Inherited
class Serial(Robot):
"""Serial Robot
Args:
Rob... | 0.814053 | 0.543166 |
import json
import csv
from collections import defaultdict
from datetime import datetime
import io
class Stats:
def __init__(self, stats_queries):
self._stats_queries = stats_queries
def get_users_by_app(self, app_name, snapshot):
q = self._stats_queries
if snapshot is None:
... | blockstats/stats.py | import json
import csv
from collections import defaultdict
from datetime import datetime
import io
class Stats:
def __init__(self, stats_queries):
self._stats_queries = stats_queries
def get_users_by_app(self, app_name, snapshot):
q = self._stats_queries
if snapshot is None:
... | 0.330687 | 0.156362 |
import numpy as np
import scipy.io as sio
class SVHN:
def __init__(self, file_path, n_classes, use_extra=False, gray=False, normalize=False):
self.n_classes = n_classes
# Load Train Set
train = sio.loadmat(file_path + "/train_32x32.mat")
self.train_labels = self.__one_hot_encode(... | src/single_digit/svhn.py | import numpy as np
import scipy.io as sio
class SVHN:
def __init__(self, file_path, n_classes, use_extra=False, gray=False, normalize=False):
self.n_classes = n_classes
# Load Train Set
train = sio.loadmat(file_path + "/train_32x32.mat")
self.train_labels = self.__one_hot_encode(... | 0.76934 | 0.40486 |
from pathlib import Path
import os
import sys
import re
import json
from sqlalchemy import create_engine
from sqlalchemy.pool import QueuePool
from cached_property import cached_property as cached
from docopt import docopt
from contextlib import ExitStack
DOCOPT = """\
mi utility.
Helps manage migrations in r... | mi/main.py | from pathlib import Path
import os
import sys
import re
import json
from sqlalchemy import create_engine
from sqlalchemy.pool import QueuePool
from cached_property import cached_property as cached
from docopt import docopt
from contextlib import ExitStack
DOCOPT = """\
mi utility.
Helps manage migrations in r... | 0.259826 | 0.119923 |
import os
import sys
import ConfigParser
_single_config = None
def config(configuration = None):
global _single_config
if configuration and not _single_config:
_single_config = configuration
import mamba.util
if _single_config.log.active:
mamba.util.init_log(_single_config.log.server)
return _single_con... | mamba/setup.py |
import os
import sys
import ConfigParser
_single_config = None
def config(configuration = None):
global _single_config
if configuration and not _single_config:
_single_config = configuration
import mamba.util
if _single_config.log.active:
mamba.util.init_log(_single_config.log.server)
return _single_con... | 0.090276 | 0.071689 |
import datetime
from functools import wraps
import jwt
from flask import make_response, jsonify, request
from app import app
from app.models.User import User
from app.models.BlackListedToken import BlackListedToken
class AuthToken:
@staticmethod
def get_token_config(user_id):
return {
'u... | app/auth/utilities.py | import datetime
from functools import wraps
import jwt
from flask import make_response, jsonify, request
from app import app
from app.models.User import User
from app.models.BlackListedToken import BlackListedToken
class AuthToken:
@staticmethod
def get_token_config(user_id):
return {
'u... | 0.396769 | 0.061989 |
import gym
import gym_pendrogone
import tensorflow as tf
import numpy as np
from agent import Agent
from ppo import rollouts_generator, add_vtarg_adv, render, Sensei
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
num_iterations = 1
sample_horizon = 100
# Learning hyperparameters
epochs = 1
batch_size = 10
learnin... | test.py | import gym
import gym_pendrogone
import tensorflow as tf
import numpy as np
from agent import Agent
from ppo import rollouts_generator, add_vtarg_adv, render, Sensei
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
num_iterations = 1
sample_horizon = 100
# Learning hyperparameters
epochs = 1
batch_size = 10
learnin... | 0.387574 | 0.287124 |
# http://codereview.stackexchange.com/questions/1526/finding-all-k-subset-partitions
# http://stackoverflow.com/questions/18353280/iterator-over-all-partitions-into-k-groups
# https://docs.python.org/3/library/itertools.html
# http://stackoverflow.com/questions/9316436/how-many-different-partitions-with-exactly-n-part... | hwrt/partitions.py |
# http://codereview.stackexchange.com/questions/1526/finding-all-k-subset-partitions
# http://stackoverflow.com/questions/18353280/iterator-over-all-partitions-into-k-groups
# https://docs.python.org/3/library/itertools.html
# http://stackoverflow.com/questions/9316436/how-many-different-partitions-with-exactly-n-part... | 0.882105 | 0.500793 |
import pytest
import numpy as np
import pandas as pd
from .context import fitgrid
from fitgrid import fake_data, defaults
from fitgrid.errors import FitGridError
from fitgrid.epochs import Epochs
def test_epochs_unequal_snapshots():
epochs_table, channels = fake_data._generate(
n_epochs=10,
n_sam... | tests/test_epochs.py | import pytest
import numpy as np
import pandas as pd
from .context import fitgrid
from fitgrid import fake_data, defaults
from fitgrid.errors import FitGridError
from fitgrid.epochs import Epochs
def test_epochs_unequal_snapshots():
epochs_table, channels = fake_data._generate(
n_epochs=10,
n_sam... | 0.786418 | 0.447943 |
from __future__ import absolute_import, division, print_function
from polyaxon_client.api.base import BaseApiHandler
from polyaxon_client.exceptions import PolyaxonClientException
from polyaxon_client.schemas import JobConfig, JobStatusConfig
class BuildJobApi(BaseApiHandler):
"""
Api handler to get build jo... | polyaxon_client/api/build_job.py | from __future__ import absolute_import, division, print_function
from polyaxon_client.api.base import BaseApiHandler
from polyaxon_client.exceptions import PolyaxonClientException
from polyaxon_client.schemas import JobConfig, JobStatusConfig
class BuildJobApi(BaseApiHandler):
"""
Api handler to get build jo... | 0.513912 | 0.053999 |
from collections import Counter
from functools import partial
import numpy as np
import pandas as pd
from sklearn.metrics import roc_auc_score, roc_curve
from sklearn.utils.multiclass import unique_labels
from responsibly.fairness.metrics.utils import (
_assert_binary, _groupby_y_x_sens,
)
def _proportion(data,... | responsibly/fairness/metrics/score.py | from collections import Counter
from functools import partial
import numpy as np
import pandas as pd
from sklearn.metrics import roc_auc_score, roc_curve
from sklearn.utils.multiclass import unique_labels
from responsibly.fairness.metrics.utils import (
_assert_binary, _groupby_y_x_sens,
)
def _proportion(data,... | 0.939359 | 0.612136 |
from __future__ import print_function
from __future__ import division
import sys
import os
import subprocess
import time
import datetime
import signal
def actuallyprint(msg):
print(msg)
sys.stdout.flush()
def main():
seed=None
output=None
print("arguments", sys.argv)
for arg in sys.argv[1:]:
i... | tools/run-map-config-experiment.py |
from __future__ import print_function
from __future__ import division
import sys
import os
import subprocess
import time
import datetime
import signal
def actuallyprint(msg):
print(msg)
sys.stdout.flush()
def main():
seed=None
output=None
print("arguments", sys.argv)
for arg in sys.argv[1:]:
i... | 0.371821 | 0.09426 |
from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class ContactsApi(object):
"""
NOTE: This class is auto generated by the swagger code ge... | dialmycalls_client/apis/contacts_api.py | from __future__ import absolute_import
import sys
import os
import re
# python 2 and python 3 compatibility library
from six import iteritems
from ..configuration import Configuration
from ..api_client import ApiClient
class ContactsApi(object):
"""
NOTE: This class is auto generated by the swagger code ge... | 0.644673 | 0.059374 |
import json
import glob
import os
import datetime
import dash
import dash_html_components as html
from dash.dependencies import Input, Output, State
from typegame.parsing.from_notebook import parse_notebook
from typegame.parsing.to_components import (
parse_leaderboard,
parse_question_list,
get_question_s... | typegame/core/callbacks.py | import json
import glob
import os
import datetime
import dash
import dash_html_components as html
from dash.dependencies import Input, Output, State
from typegame.parsing.from_notebook import parse_notebook
from typegame.parsing.to_components import (
parse_leaderboard,
parse_question_list,
get_question_s... | 0.52902 | 0.168617 |
# Part 1: Run Qiime2 on Hardec
# Info to collect
# a. Library protocol, EMP or not? (515-806, multiple gg reference seq to choose for taxonomy)
# b. Reverse complement barcodes or not? (for demux)
# c. Read length (for trimming, dada2)
# d. Reverse complemented mapping barcodes? (for demux)
# e. Mapping files (pr... | 1_process_fastqs/RawlsRawls20190118_cmd_workflow_notes_EMP.py |
# Part 1: Run Qiime2 on Hardec
# Info to collect
# a. Library protocol, EMP or not? (515-806, multiple gg reference seq to choose for taxonomy)
# b. Reverse complement barcodes or not? (for demux)
# c. Read length (for trimming, dada2)
# d. Reverse complemented mapping barcodes? (for demux)
# e. Mapping files (pr... | 0.475605 | 0.26322 |
import mpmath as mp
import numpy as np
from .fsframe import FSFrame
from .lgfs import FreeLGEvenFSFrame, FreeLGOddFSFrame
"""FSFrame for Hermite-Gaussian beams.
This is based on FreeLGFSFrame.
"""
class HGFSFrame(FSFrame):
def __init__(self, k, w0, nx=0, ny=0):
self.wavenumber = k
self.k = k
... | glmtech/fs/hgfs.py | import mpmath as mp
import numpy as np
from .fsframe import FSFrame
from .lgfs import FreeLGEvenFSFrame, FreeLGOddFSFrame
"""FSFrame for Hermite-Gaussian beams.
This is based on FreeLGFSFrame.
"""
class HGFSFrame(FSFrame):
def __init__(self, k, w0, nx=0, ny=0):
self.wavenumber = k
self.k = k
... | 0.538498 | 0.218899 |
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import AutoMinorLocator
from matplotlib.ticker import MultipleLocator
import importlib
import sys
import os
if not '../aux/' in sys.path: sys.path.append('../aux/')
import paths; importlib.reload(paths)
import spec; importlib.reload(spec)
... | msc/comp_unsorted_opac.py | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import AutoMinorLocator
from matplotlib.ticker import MultipleLocator
import importlib
import sys
import os
if not '../aux/' in sys.path: sys.path.append('../aux/')
import paths; importlib.reload(paths)
import spec; importlib.reload(spec)
... | 0.189671 | 0.246443 |
import os
import numpy as np
from type.cell.function_cell_type import FunctionCellType
from type.cell.cell_type_pmf import CellTypePMF
from block_extractor.psl.features_v2 import Block2FeatV2
from utils.psl_utils import *
from block_extractor.block_extractor import BlockExtractor
from block_extractor.block_extractor_c2... | block_extractor/block_extractor_psl_v2.py | import os
import numpy as np
from type.cell.function_cell_type import FunctionCellType
from type.cell.cell_type_pmf import CellTypePMF
from block_extractor.psl.features_v2 import Block2FeatV2
from utils.psl_utils import *
from block_extractor.block_extractor import BlockExtractor
from block_extractor.block_extractor_c2... | 0.419291 | 0.241859 |
import string
import subprocess
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
community = 'public'
file = open('ips.txt', 'r')
for line in file:
constructor = line.split(":")[0]
ip = line.split(":")[1]
ip ... | ActiveStandbyChecker/activestandbychecker.py | import string
import subprocess
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
community = 'public'
file = open('ips.txt', 'r')
for line in file:
constructor = line.split(":")[0]
ip = line.split(":")[1]
ip ... | 0.039435 | 0.059319 |
from tweepy import Stream, OAuthHandler
from tweepy.streaming import StreamListener
import pymysql
import threading
import time
from datetime import datetime
import json
from twitter_credenciais import User_password
from interface import interface_terminal as terminal
conn = pymysql.connect("localhost","root... | extractor.py | from tweepy import Stream, OAuthHandler
from tweepy.streaming import StreamListener
import pymysql
import threading
import time
from datetime import datetime
import json
from twitter_credenciais import User_password
from interface import interface_terminal as terminal
conn = pymysql.connect("localhost","root... | 0.183082 | 0.058804 |
import dataclasses
from dataclasses import dataclass
from typing import List, Dict
from ausbills.util.consts import *
from ausbills.util import BillExtractor, BillListExtractor
from ausbills.log import get_logger
from ausbills.models import Bill, BillMeta
from ausbills.types import House, Parliament, ChamberProgress, ... | ausbills/parliament/qld.py | import dataclasses
from dataclasses import dataclass
from typing import List, Dict
from ausbills.util.consts import *
from ausbills.util import BillExtractor, BillListExtractor
from ausbills.log import get_logger
from ausbills.models import Bill, BillMeta
from ausbills.types import House, Parliament, ChamberProgress, ... | 0.598077 | 0.112162 |
from __future__ import absolute_import, print_function
import random
import warnings
import pytest
from requests.packages import urllib3
import zhmcclient
# pylint: disable=line-too-long,unused-import
from zhmcclient.testutils.hmc_definition_fixtures import hmc_definition, hmc_session # noqa: F401, E501
from zhmccli... | tests/end2end/test_partition.py | from __future__ import absolute_import, print_function
import random
import warnings
import pytest
from requests.packages import urllib3
import zhmcclient
# pylint: disable=line-too-long,unused-import
from zhmcclient.testutils.hmc_definition_fixtures import hmc_definition, hmc_session # noqa: F401, E501
from zhmccli... | 0.475605 | 0.188063 |
import gui3d
import humanmodifier
print 'Face imported'
class GroupBoxRadioButton(gui3d.RadioButton):
def __init__(self, group, label, groupBox, selected=False):
gui3d.RadioButton.__init__(self, group, label, selected, style=gui3d.ButtonStyle)
self.groupBox = groupBox
def onClicke... | plugins/0_modeling_3_face.py |
import gui3d
import humanmodifier
print 'Face imported'
class GroupBoxRadioButton(gui3d.RadioButton):
def __init__(self, group, label, groupBox, selected=False):
gui3d.RadioButton.__init__(self, group, label, selected, style=gui3d.ButtonStyle)
self.groupBox = groupBox
def onClicke... | 0.388386 | 0.107789 |
import datetime
_registered_parse_convertible_types = {}
class ParseConvertibleType(type):
def __init__(cls, class_name, bases, class_dict):
super(ParseConvertibleType, cls).__init__(class_name, bases, class_dict)
if class_name != 'ParseConvertible':
parse_type_name_func = getattr(... | pyparse/core/data/types.py |
import datetime
_registered_parse_convertible_types = {}
class ParseConvertibleType(type):
def __init__(cls, class_name, bases, class_dict):
super(ParseConvertibleType, cls).__init__(class_name, bases, class_dict)
if class_name != 'ParseConvertible':
parse_type_name_func = getattr(... | 0.794544 | 0.42668 |
import os
import sqlite3
# construct a path to wherever your database exists
#DB_FILEPATH = "rpg.db"
DB_FILEPATH = os.path.join(os.path.dirname(__file__), "..", "data", "rpg_db.sqlite3")
connection = sqlite3.connect(DB_FILEPATH)
connection.row_factory = sqlite3.Row
print("CONNECTION:", connection)
cursor = connecti... | app/rpg_queries.py | import os
import sqlite3
# construct a path to wherever your database exists
#DB_FILEPATH = "rpg.db"
DB_FILEPATH = os.path.join(os.path.dirname(__file__), "..", "data", "rpg_db.sqlite3")
connection = sqlite3.connect(DB_FILEPATH)
connection.row_factory = sqlite3.Row
print("CONNECTION:", connection)
cursor = connecti... | 0.290779 | 0.116412 |
from typing import Sequence
import torch
from detectron2.engine.hooks import HookBase
from detectron2.data import (
build_detection_train_loader,
DatasetMapper,
)
from detectron2.utils import comm
from detectron2.config import CfgNode
from detectron2.data.transforms import Augmentation
class ValidationLoss(Ho... | amazon-sagemaker-pytorch-detectron2/container_training/sku-110k/engine/hooks.py | from typing import Sequence
import torch
from detectron2.engine.hooks import HookBase
from detectron2.data import (
build_detection_train_loader,
DatasetMapper,
)
from detectron2.utils import comm
from detectron2.config import CfgNode
from detectron2.data.transforms import Augmentation
class ValidationLoss(Ho... | 0.952508 | 0.551332 |
from collections import namedtuple
from django.db.models import Sum
from django.template.response import TemplateResponse
from django.urls import reverse_lazy as reverse
from django.utils.functional import cached_property
from django.utils.translation import ugettext_lazy as _
from ...forms.reports.orderables import ... | leprikon/views/reports/orderables.py | from collections import namedtuple
from django.db.models import Sum
from django.template.response import TemplateResponse
from django.urls import reverse_lazy as reverse
from django.utils.functional import cached_property
from django.utils.translation import ugettext_lazy as _
from ...forms.reports.orderables import ... | 0.670932 | 0.076064 |
import json
from excepciones import *
import re
import nltk
from nltk.corpus import stopwords
from string import punctuation
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import pandas as pd
import logging
#Descargar las stopwords, necesario para la ... | recetarium/funciones.py | import json
from excepciones import *
import re
import nltk
from nltk.corpus import stopwords
from string import punctuation
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import pandas as pd
import logging
#Descargar las stopwords, necesario para la ... | 0.115886 | 0.162446 |
import logging
import os
import os_utilities
from utils import zip_package
THIS_FILE = os.path.abspath(zip_package.get_main_script_path())
# Method could be a function - pylint: disable=R0201
class Bot(object):
def __init__(
self, remote, attributes, server_version, base_dir, shutdown_hook):
# Do not e... | appengine/swarming/swarming_bot/bot.py | import logging
import os
import os_utilities
from utils import zip_package
THIS_FILE = os.path.abspath(zip_package.get_main_script_path())
# Method could be a function - pylint: disable=R0201
class Bot(object):
def __init__(
self, remote, attributes, server_version, base_dir, shutdown_hook):
# Do not e... | 0.637369 | 0.181662 |
import functools
import itertools
import logging
import os
from pathlib import Path
from typing import Callable, Dict, List, Optional
from .async_call import AsyncCaller, AsyncCallsNotSupported
from .chk_manager import CheckpointManager, NULL_CHK_ID
from .consts import Continuations, Seqno, Pid, CheckpointID, MAIN_PID... | compiler/rt/run.py | import functools
import itertools
import logging
import os
from pathlib import Path
from typing import Callable, Dict, List, Optional
from .async_call import AsyncCaller, AsyncCallsNotSupported
from .chk_manager import CheckpointManager, NULL_CHK_ID
from .consts import Continuations, Seqno, Pid, CheckpointID, MAIN_PID... | 0.703957 | 0.085251 |
import numpy as np
import logging
class RecurrentNeuralNetwork(object):
"""Recurrent Neural Network.
Attributes:
dimension: 3-tuple of input, hidden, and output nodes
act_func: Networks activation function
"""
def __init__(self, dimension, act_func=None):
self.dim = dimension
... | pyneat/ann/rnn.py | import numpy as np
import logging
class RecurrentNeuralNetwork(object):
"""Recurrent Neural Network.
Attributes:
dimension: 3-tuple of input, hidden, and output nodes
act_func: Networks activation function
"""
def __init__(self, dimension, act_func=None):
self.dim = dimension
... | 0.779616 | 0.600481 |
import glob
import os
import numpy as np
import hydra
import torch
from omegaconf import DictConfig, OmegaConf
from pose_est_nets.utils.plotting_utils import (
predict_videos,
)
from pose_est_nets.utils.io import (
get_absolute_hydra_path_from_hydra_str,
ckpt_path_from_base_path,
verify_absolute_path,
... | scripts/predict_new_vids.py | import glob
import os
import numpy as np
import hydra
import torch
from omegaconf import DictConfig, OmegaConf
from pose_est_nets.utils.plotting_utils import (
predict_videos,
)
from pose_est_nets.utils.io import (
get_absolute_hydra_path_from_hydra_str,
ckpt_path_from_base_path,
verify_absolute_path,
... | 0.304042 | 0.221477 |
import json
import nethysdb
# I don't know if this is useful, but for now I am leaving it here just in case
class Ancestry(nethysdb.NethysDB):
def __init__(self, link, SourceBook, Page, name, description, YouMight, OthersProbably, PhysicalDescription, Society, AlignmentAndReligion, Adventurers, Names, Hitpoints, S... | ancestries.py | import json
import nethysdb
# I don't know if this is useful, but for now I am leaving it here just in case
class Ancestry(nethysdb.NethysDB):
def __init__(self, link, SourceBook, Page, name, description, YouMight, OthersProbably, PhysicalDescription, Society, AlignmentAndReligion, Adventurers, Names, Hitpoints, S... | 0.306942 | 0.118564 |
import pytest
import torch
import pyro.distributions as dist
from pyro.contrib.epidemiology import infection_dist
from tests.common import assert_close
def assert_dist_close(d1, d2):
x = torch.arange(float(200))
p1 = d1.log_prob(x).exp()
p2 = d2.log_prob(x).exp()
assert (p1.sum() - 1).abs() < 1e-3... | tests/contrib/epidemiology/test_distributions.py |
import pytest
import torch
import pyro.distributions as dist
from pyro.contrib.epidemiology import infection_dist
from tests.common import assert_close
def assert_dist_close(d1, d2):
x = torch.arange(float(200))
p1 = d1.log_prob(x).exp()
p2 = d2.log_prob(x).exp()
assert (p1.sum() - 1).abs() < 1e-3... | 0.800575 | 0.777088 |
import typing
import jax._src.util as util
import numpy as np
from jax import lax, numpy as jnp, random
from .constants import ParallelAxes
from .context import Context
INT_OR_TUPLE = typing.Union[int, typing.Sequence[int]]
def pos_dim(inp: jnp.ndarray, dims: typing.Sequence[int]) -> typing.Sequence[int]:
retu... | src/backend.py | import typing
import jax._src.util as util
import numpy as np
from jax import lax, numpy as jnp, random
from .constants import ParallelAxes
from .context import Context
INT_OR_TUPLE = typing.Union[int, typing.Sequence[int]]
def pos_dim(inp: jnp.ndarray, dims: typing.Sequence[int]) -> typing.Sequence[int]:
retu... | 0.777849 | 0.486149 |
from collections import OrderedDict
import numpy as np
# print_order controls display of frame in complex_frame_dict_to_string
print_order = ['upper_left', 'top_center', 'upper_right',
'left_center', 'center_point', 'right_center',
'bottom_left', 'bottom_center', 'bottom_right']
ODD_FRAME... | src/z_plane.py | from collections import OrderedDict
import numpy as np
# print_order controls display of frame in complex_frame_dict_to_string
print_order = ['upper_left', 'top_center', 'upper_right',
'left_center', 'center_point', 'right_center',
'bottom_left', 'bottom_center', 'bottom_right']
ODD_FRAME... | 0.735831 | 0.457197 |
from colorConv import *
from colBase import ColBase as cB
import colCIELCHuv as cCIELCHuv
import colXYZ as cXYZ
class ColCIELuv(cB):
""" CIE-L*uv color class
Inherits from ColBase """
lfields = ['L', 'u', 'v']
def __init__(self, L=0.0, u=0.0, v=0.0, *args, **kwargs): # default: Black
""" I... | SMFSWcolor/colCIELuv.py | from colorConv import *
from colBase import ColBase as cB
import colCIELCHuv as cCIELCHuv
import colXYZ as cXYZ
class ColCIELuv(cB):
""" CIE-L*uv color class
Inherits from ColBase """
lfields = ['L', 'u', 'v']
def __init__(self, L=0.0, u=0.0, v=0.0, *args, **kwargs): # default: Black
""" I... | 0.740456 | 0.227244 |
import os
import torch
from torch.utils.cpp_extension import load
VERBOSE = False
def _resolve(name):
return os.path.join(os.path.dirname(os.path.realpath(__file__)), name)
try:
import torch_discounted_cumsum_cpu
except ImportError:
if VERBOSE:
print('Falling back to JIT compiling torch_discou... | torch_discounted_cumsum/discounted_cumsum.py | import os
import torch
from torch.utils.cpp_extension import load
VERBOSE = False
def _resolve(name):
return os.path.join(os.path.dirname(os.path.realpath(__file__)), name)
try:
import torch_discounted_cumsum_cpu
except ImportError:
if VERBOSE:
print('Falling back to JIT compiling torch_discou... | 0.684475 | 0.417271 |
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
import django_extensions.db.fields
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Address',
fields=[
... | addressbook/migrations/0001_initial.py | from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
import django_extensions.db.fields
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Address',
fields=[
... | 0.630571 | 0.115212 |
from geolite2 import geolite2
import requests
class bColors:
GREEN = '\033[92m'
YELLOW = '\033[93m'
RED = '\033[91m'
BLUE = '\033[94m'
def banner():
print(bColors.GREEN + '<<< IP-TRACKER v2.0>>>')
print(bColors.RED + r'''
_
| |
| |___
| _ \ _ _
| |_) | | (_) |
... | IpTrackerv2.0.py | from geolite2 import geolite2
import requests
class bColors:
GREEN = '\033[92m'
YELLOW = '\033[93m'
RED = '\033[91m'
BLUE = '\033[94m'
def banner():
print(bColors.GREEN + '<<< IP-TRACKER v2.0>>>')
print(bColors.RED + r'''
_
| |
| |___
| _ \ _ _
| |_) | | (_) |
... | 0.157655 | 0.122497 |
import os
from typing import List, Union
from werkzeug.wrappers import Request, Response
from werkzeug.serving import run_simple
from jsonrpc import Dispatcher, JSONRPCResponseManager as JRPCRespMgr
from jsonrpc.exceptions import JSONRPCDispatchException, JSONRPCServerError, JSONRPCInternalError
import log
from API... | tools/libs/PassID-Server/src/APIservice/api.py | import os
from typing import List, Union
from werkzeug.wrappers import Request, Response
from werkzeug.serving import run_simple
from jsonrpc import Dispatcher, JSONRPCResponseManager as JRPCRespMgr
from jsonrpc.exceptions import JSONRPCDispatchException, JSONRPCServerError, JSONRPCInternalError
import log
from API... | 0.656548 | 0.095771 |
import textwrap
import grafanalib.core as GCore
import grafanacommon as GCommon
def dash(myuid, agginfo, nodesel, **kwargs):
return GCommon.Dashboard(
title = "RSSAC sources",
tags = [
agginfo['graph_tag']
],
uid = myuid,
rows = [
GCore.Row(
... | grafana/common/dashboards/aggregated/rssac_sources.py |
import textwrap
import grafanalib.core as GCore
import grafanacommon as GCommon
def dash(myuid, agginfo, nodesel, **kwargs):
return GCommon.Dashboard(
title = "RSSAC sources",
tags = [
agginfo['graph_tag']
],
uid = myuid,
rows = [
GCore.Row(
... | 0.355775 | 0.096706 |
import numpy as np
import matplotlib.pyplot as plt
import seaborn.apionly as sns
def display_aia_response_control_flow():
"""Show the control flow of the IDL programs used to compute AIA response functions"""
def plot_aia_response_functions(raw_response_file,fix_response_file):
"""Plot AIA temperature respon... | make_figures.py |
import numpy as np
import matplotlib.pyplot as plt
import seaborn.apionly as sns
def display_aia_response_control_flow():
"""Show the control flow of the IDL programs used to compute AIA response functions"""
def plot_aia_response_functions(raw_response_file,fix_response_file):
"""Plot AIA temperature respon... | 0.559771 | 0.548371 |
from .flash import Flash
class SWM320(object):
CHIP_CORE = 'Cortex-M4'
PAGE_SIZE = 4096
SECT_SIZE = 4096
CHIP_SIZE = 0x80000 # 512K
def __init__(self, jlink):
super(SWM320, self).__init__()
self.jlink = jlink
self.jlink.reset()
self.flash = F... | device/SWM320.py | from .flash import Flash
class SWM320(object):
CHIP_CORE = 'Cortex-M4'
PAGE_SIZE = 4096
SECT_SIZE = 4096
CHIP_SIZE = 0x80000 # 512K
def __init__(self, jlink):
super(SWM320, self).__init__()
self.jlink = jlink
self.jlink.reset()
self.flash = F... | 0.345216 | 0.163079 |
import pytest
from sanic_routing import BaseRouter
from sanic_routing.exceptions import NotFound
@pytest.fixture
def handler():
def handler(**kwargs):
return list(kwargs.values())[0]
return handler
class Router(BaseRouter):
def get(self, path, method, extra=None):
return self.resolve(p... | tests/test_builtin_param_types.py | import pytest
from sanic_routing import BaseRouter
from sanic_routing.exceptions import NotFound
@pytest.fixture
def handler():
def handler(**kwargs):
return list(kwargs.values())[0]
return handler
class Router(BaseRouter):
def get(self, path, method, extra=None):
return self.resolve(p... | 0.658198 | 0.433562 |
import sys
from collections.abc import Iterable
import numpy as np
import pandas as pd
from pysgrs import errors
from pysgrs.settings import settings
class Shaper:
@staticmethod
def get_shapes(n, shape=None, score=None):
def _score(x):
return (((1/2 + x["padding"])/n)**3)*(1 + x["shape... | pysgrs/toolbox/shaper.py | import sys
from collections.abc import Iterable
import numpy as np
import pandas as pd
from pysgrs import errors
from pysgrs.settings import settings
class Shaper:
@staticmethod
def get_shapes(n, shape=None, score=None):
def _score(x):
return (((1/2 + x["padding"])/n)**3)*(1 + x["shape... | 0.371023 | 0.360517 |
import igraph
import numpy as np
def community_ecg(self, weights=None, ens_size = 16, min_weight = 0.05):
"""
Runs an ensemble of single-level randomized Louvain;
each member of the ensemble gets a "vote" to determine if the edges
are intra-community or not;
the votes are aggregated into an "ECG ... | ecg.py | import igraph
import numpy as np
def community_ecg(self, weights=None, ens_size = 16, min_weight = 0.05):
"""
Runs an ensemble of single-level randomized Louvain;
each member of the ensemble gets a "vote" to determine if the edges
are intra-community or not;
the votes are aggregated into an "ECG ... | 0.736021 | 0.569673 |
from __future__ import division, print_function, absolute_import
import unittest
from tempfile import NamedTemporaryFile
import os
import numpy as np
import deepdish as dd
from contextlib import contextmanager
class TestCore(unittest.TestCase):
def test_multi_range(self):
x0 = [(0, 0), (0, 1), (0, 2), (1,... | deepdish/tests/test_core.py | from __future__ import division, print_function, absolute_import
import unittest
from tempfile import NamedTemporaryFile
import os
import numpy as np
import deepdish as dd
from contextlib import contextmanager
class TestCore(unittest.TestCase):
def test_multi_range(self):
x0 = [(0, 0), (0, 1), (0, 2), (1,... | 0.692122 | 0.636833 |
import json
import re
import scrapy
from scrapy import Request
from MinkchSpider.items import MinkchItemLoader
from MinkchSpider.items import MinkchItem
from MinkchSpider.utils import common
from MinkchSpider import settings
class MinkchSpider(scrapy.Spider):
name = 'minkch'
allowed_domains = ['minkch.com']... | minkch_spider/MinkchSpider/spiders/minkch.py | import json
import re
import scrapy
from scrapy import Request
from MinkchSpider.items import MinkchItemLoader
from MinkchSpider.items import MinkchItem
from MinkchSpider.utils import common
from MinkchSpider import settings
class MinkchSpider(scrapy.Spider):
name = 'minkch'
allowed_domains = ['minkch.com']... | 0.144269 | 0.096408 |