code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
from numpy import zeros
#------------ technology/process -------------
# basic process definition at country level
class ProcessAssump:
""" process assumption class """
# this class for creating objects at both country and zone level
# country level is used for general assumption initiation
# zone ... | scripts/cls_process.py |
from numpy import zeros
#------------ technology/process -------------
# basic process definition at country level
class ProcessAssump:
""" process assumption class """
# this class for creating objects at both country and zone level
# country level is used for general assumption initiation
# zone ... | 0.573917 | 0.314886 |
import os
import numpy as np
import argparse
import time
import torch
from utils.net_utils import adjust_learning_rate, save_checkpoint, clip_gradient, calc_grad_norm
from utils.box_utils import sample_proposals
from model.dc_vgg16 import DC_VGG16_DET, DC_VGG16_CLS
from datasets.tdet_dataset import TDETDataset
from m... | train_dc_det.py | import os
import numpy as np
import argparse
import time
import torch
from utils.net_utils import adjust_learning_rate, save_checkpoint, clip_gradient, calc_grad_norm
from utils.box_utils import sample_proposals
from model.dc_vgg16 import DC_VGG16_DET, DC_VGG16_CLS
from datasets.tdet_dataset import TDETDataset
from m... | 0.463201 | 0.141608 |
import datetime
import dateutil.parser
import os
from path import cd
import simplejson as json
import sqlite3
import subprocess
import sys
import yaml
import log
warn, info, debug, fatal = log.reporters()
class UnsupportedDBType(Exception):
pass
class DBNotFound(Exception):
pass
class DBConn(object):
def... | leie/leie/model.py |
import datetime
import dateutil.parser
import os
from path import cd
import simplejson as json
import sqlite3
import subprocess
import sys
import yaml
import log
warn, info, debug, fatal = log.reporters()
class UnsupportedDBType(Exception):
pass
class DBNotFound(Exception):
pass
class DBConn(object):
def... | 0.535098 | 0.176512 |
from subprocess import Popen, PIPE
import json
import os
import time
def fetch_vds_info_state():
balance, version, blocks = 0, 0, 0
try:
raw_data = Popen(['vds-cli', 'getinfo'], stdout=PIPE, stderr=PIPE).communicate()[0]
vds_info = json.loads(raw_data)
balance = vds_info["balance"]
... | 600_vds.py |
from subprocess import Popen, PIPE
import json
import os
import time
def fetch_vds_info_state():
balance, version, blocks = 0, 0, 0
try:
raw_data = Popen(['vds-cli', 'getinfo'], stdout=PIPE, stderr=PIPE).communicate()[0]
vds_info = json.loads(raw_data)
balance = vds_info["balance"]
... | 0.228845 | 0.095856 |
import json
import time
import pandas as pd
import requests
from akshare.economic.cons import bitcoin_url, bitcoin_payload
def get_js_dc_current():
"""
主流数字货币的实时行情数据, 一次请求返回具体某一时刻行情数据
:return: pandas.DataFrame
"""
bit_payload = bitcoin_payload.copy()
bit_payload.update({"_": int(time.time() ... | akshare/economic/macro_other.py | import json
import time
import pandas as pd
import requests
from akshare.economic.cons import bitcoin_url, bitcoin_payload
def get_js_dc_current():
"""
主流数字货币的实时行情数据, 一次请求返回具体某一时刻行情数据
:return: pandas.DataFrame
"""
bit_payload = bitcoin_payload.copy()
bit_payload.update({"_": int(time.time() ... | 0.308503 | 0.252493 |
from neuron import Neuron
from utils import absolute
import random
class Network:
def __init__(self, neurons_quantity, lamb, alpha, threshold, weights):
'''
Configura a rede neural
:param neurons_quantity: Quantidade de neurônios na primeira camada
:param lamb: lambda
:par... | network.py | from neuron import Neuron
from utils import absolute
import random
class Network:
def __init__(self, neurons_quantity, lamb, alpha, threshold, weights):
'''
Configura a rede neural
:param neurons_quantity: Quantidade de neurônios na primeira camada
:param lamb: lambda
:par... | 0.797439 | 0.604049 |
from binascii import unhexlify
from hashlib import md5, sha256
from hmac import compare_digest
from hmac import new as hmac
from os import getpid
from random import randint
from socket import getaddrinfo as _forward, gethostbyaddr as _reverse, gethostname, herror as DNSError
from threading import RLock
from time import... | web/security/util.py | from binascii import unhexlify
from hashlib import md5, sha256
from hmac import compare_digest
from hmac import new as hmac
from os import getpid
from random import randint
from socket import getaddrinfo as _forward, gethostbyaddr as _reverse, gethostname, herror as DNSError
from threading import RLock
from time import... | 0.722331 | 0.123181 |
"""Helper functions for constructing and validating AlloyDB instance requests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import properties
def ConstructCreate... | lib/googlecloudsdk/command_lib/alloydb/instance_helper.py | """Helper functions for constructing and validating AlloyDB instance requests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.command_lib.util.args import labels_util
from googlecloudsdk.core import properties
def ConstructCreate... | 0.643665 | 0.15863 |
from pynput.keyboard import Key, KeyCode, Listener
import pyperclip
from utils import expand_ranges
from utils import clean_where_clause
import re
import sys
# Copy a code range a automagically paste a SQL ready statement!
# SHFT-L
def parse_ranges(txt=None):
if not txt:
txt = pyperclip.paste()
code_pa... | clip_parser/clip_parser.py | from pynput.keyboard import Key, KeyCode, Listener
import pyperclip
from utils import expand_ranges
from utils import clean_where_clause
import re
import sys
# Copy a code range a automagically paste a SQL ready statement!
# SHFT-L
def parse_ranges(txt=None):
if not txt:
txt = pyperclip.paste()
code_pa... | 0.358129 | 0.207155 |
import sqlite3
from sqlite3 import Error
def create_connection(db_file):
""" create a database connection to the SQLite database
specified by db_file
:param db_file: database file
:return: Connection object or None
"""
conn = None
try:
conn = sqlite3.connect(db_file)
... | hcache.py | import sqlite3
from sqlite3 import Error
def create_connection(db_file):
""" create a database connection to the SQLite database
specified by db_file
:param db_file: database file
:return: Connection object or None
"""
conn = None
try:
conn = sqlite3.connect(db_file)
... | 0.110405 | 0.07403 |
import unittest
from NwalaTextUtils.textutils import cleanHtml
from NwalaTextUtils.textutils import derefURI
from NwalaTextUtils.textutils import expandURL
from NwalaTextUtils.textutils import expandURLs
from NwalaTextUtils.textutils import getPgTitleFrmHTML
from NwalaTextUtils.textutils import parallelGetTxtFrmURIs
... | tests/test_generic.py | import unittest
from NwalaTextUtils.textutils import cleanHtml
from NwalaTextUtils.textutils import derefURI
from NwalaTextUtils.textutils import expandURL
from NwalaTextUtils.textutils import expandURLs
from NwalaTextUtils.textutils import getPgTitleFrmHTML
from NwalaTextUtils.textutils import parallelGetTxtFrmURIs
... | 0.346541 | 0.373819 |
import logging
import logging.handlers
import os
import pwd
import subprocess
import time
from functools import wraps
import httplib2
from apiclient.discovery import build
from oauth2client.client import SignedJwtAssertionCredentials
from .settings import *
TIMING = {}
def get_logger(system):
logger = logging.... | helpers.py | import logging
import logging.handlers
import os
import pwd
import subprocess
import time
from functools import wraps
import httplib2
from apiclient.discovery import build
from oauth2client.client import SignedJwtAssertionCredentials
from .settings import *
TIMING = {}
def get_logger(system):
logger = logging.... | 0.322739 | 0.060836 |
import os
import sys
import time
import numpy as np
import paddle.fluid as fluid
import paddle_fl.mpc as pfl_mpc
from paddle_fl.mpc.data_utils.data_utils import get_datautils
sys.path.append('..')
import network
import process_data
mpc_protocol_name = 'aby3'
mpc_du = get_datautils(mpc_protocol_name)
def load_uci_u... | python/paddle_fl/mpc/examples/model_encryption/update/update_mpc_model.py | import os
import sys
import time
import numpy as np
import paddle.fluid as fluid
import paddle_fl.mpc as pfl_mpc
from paddle_fl.mpc.data_utils.data_utils import get_datautils
sys.path.append('..')
import network
import process_data
mpc_protocol_name = 'aby3'
mpc_du = get_datautils(mpc_protocol_name)
def load_uci_u... | 0.341692 | 0.08819 |
import os
import time
import traceback
from base64 import b64decode
import flybirds.core.global_resource as gr
import flybirds.utils.file_helper as file_helper
import flybirds.utils.flybirds_log as log
import flybirds.utils.uuid_helper as uuid_helper
from flybirds.core.global_context import GlobalContext as g_context
... | flybirds/core/plugin/plugins/default/screen.py | import os
import time
import traceback
from base64 import b64decode
import flybirds.core.global_resource as gr
import flybirds.utils.file_helper as file_helper
import flybirds.utils.flybirds_log as log
import flybirds.utils.uuid_helper as uuid_helper
from flybirds.core.global_context import GlobalContext as g_context
... | 0.295535 | 0.065306 |
import Color
import node
class RBTree(object):
RBNode = node.RBNode
def __init__(self, new_node=RBNode):
"""setters"""
self._nil = new_node(data=None) # Листья нули и всегда черны
self._root = self.nil # В начале корень нулевой
self._new_node = new_node ... | code/RB_tree.py | import Color
import node
class RBTree(object):
RBNode = node.RBNode
def __init__(self, new_node=RBNode):
"""setters"""
self._nil = new_node(data=None) # Листья нули и всегда черны
self._root = self.nil # В начале корень нулевой
self._new_node = new_node ... | 0.593491 | 0.459015 |
from model.Vmf import Vmf
from model.Vertex import Vertex
import numpy as np
import random
def alg_bhop_concatenation(vmf: Vmf):
# cfg
n = 4000
min_size = 64
assert min_size > 8
max_size = 128
fail_seq_max = 100
block_min_distance = 256
block_xr = min_size
block_yr = min_size
b... | modules/bhop_concatenation.py | from model.Vmf import Vmf
from model.Vertex import Vertex
import numpy as np
import random
def alg_bhop_concatenation(vmf: Vmf):
# cfg
n = 4000
min_size = 64
assert min_size > 8
max_size = 128
fail_seq_max = 100
block_min_distance = 256
block_xr = min_size
block_yr = min_size
b... | 0.393036 | 0.49646 |
import datetime
from typing import Any, Iterable, Iterator
import logging
import googleapiclient.discovery
import google.oauth2.service_account
import model
import config
# If modifying these scopes, delete the file token.json.
_API_SCOPES = ["https://www.googleapis.com/auth/calendar.readonly"]
log = logging.getLo... | src/service.py | import datetime
from typing import Any, Iterable, Iterator
import logging
import googleapiclient.discovery
import google.oauth2.service_account
import model
import config
# If modifying these scopes, delete the file token.json.
_API_SCOPES = ["https://www.googleapis.com/auth/calendar.readonly"]
log = logging.getLo... | 0.658527 | 0.254625 |
import multiprocessing as mp
import numpy as np
from pyecca import replay
from pyecca import uros
from pyecca.estimators.attitude import algorithms
from pyecca.estimators.attitude.estimator import AttitudeEstimator
from pyecca.estimators.attitude.simulator import Simulator
default_params = {
't0': 0,
'tf': 1... | pyecca/estimators/attitude/launch.py | import multiprocessing as mp
import numpy as np
from pyecca import replay
from pyecca import uros
from pyecca.estimators.attitude import algorithms
from pyecca.estimators.attitude.estimator import AttitudeEstimator
from pyecca.estimators.attitude.simulator import Simulator
default_params = {
't0': 0,
'tf': 1... | 0.422028 | 0.329041 |
from dataclasses import asdict, dataclass
from typing import List, Sequence, Tuple, Union
import jax
import jax.numpy as jnp
import numba as nb
import numpy as np
@jax.tree_util.register_pytree_node_class
@dataclass(frozen=True, eq=False)
class Wiring:
"""Wiring for factors.
Args:
edges_num_states:... | pgmax/factor/factor.py |
from dataclasses import asdict, dataclass
from typing import List, Sequence, Tuple, Union
import jax
import jax.numpy as jnp
import numba as nb
import numpy as np
@jax.tree_util.register_pytree_node_class
@dataclass(frozen=True, eq=False)
class Wiring:
"""Wiring for factors.
Args:
edges_num_states:... | 0.929063 | 0.498474 |
uuid16_dict = {
0x0001: "SDP",
0x0003: "RFCOMM",
0x0005: "TCS-BIN",
0x0007: "ATT",
0x0008: "OBEX",
0x000f: "BNEP",
0x0010: "UPNP",
0x0011: "HIDP",
0x0012: "Hardcopy Control Channel",
0x0014: "Hardcopy Data Channel",
0x0016: "Hardcopy Notification",
0x0017: "AVCTP",
0... | bleak/uuids.py |
uuid16_dict = {
0x0001: "SDP",
0x0003: "RFCOMM",
0x0005: "TCS-BIN",
0x0007: "ATT",
0x0008: "OBEX",
0x000f: "BNEP",
0x0010: "UPNP",
0x0011: "HIDP",
0x0012: "Hardcopy Control Channel",
0x0014: "Hardcopy Data Channel",
0x0016: "Hardcopy Notification",
0x0017: "AVCTP",
0... | 0.597843 | 0.46035 |
import unittest
import os
import numpy as np
from welib.yams.sid import FAST2SID
MyDir=os.path.dirname(__file__)
# --------------------------------------------------------------------------------}
# --- TESTS
# --------------------------------------------------------------------------------{
class Test(unittest.Test... | welib/yams/tests/test_sid.py | import unittest
import os
import numpy as np
from welib.yams.sid import FAST2SID
MyDir=os.path.dirname(__file__)
# --------------------------------------------------------------------------------}
# --- TESTS
# --------------------------------------------------------------------------------{
class Test(unittest.Test... | 0.248899 | 0.6769 |
from . import dataset
from . import helpers
import os
class Gao2018(dataset.Dataset):
name = "gao2018"
url = "https://github.com/sjtuprog/fox-news-comments/raw/master/full-comments-u.json"
hash = "059152e61f632f1e6671a68214d5618a21e6cf78f2512773e0421b9568aab8cf"
files = [
{
"na... | src/toxic_comment_collection/datasets/gao2018.py | from . import dataset
from . import helpers
import os
class Gao2018(dataset.Dataset):
name = "gao2018"
url = "https://github.com/sjtuprog/fox-news-comments/raw/master/full-comments-u.json"
hash = "059152e61f632f1e6671a68214d5618a21e6cf78f2512773e0421b9568aab8cf"
files = [
{
"na... | 0.631481 | 0.239327 |
import collections
import logging
import threading
import gym
import numpy as np
logger = logging.getLogger(__name__)
class WorkerTracker:
def __init__(self, global_model, model_path):
self.lock = threading.Lock()
self.global_model = global_model
self.model_path = model_path
self... | rl/agent/util.py | import collections
import logging
import threading
import gym
import numpy as np
logger = logging.getLogger(__name__)
class WorkerTracker:
def __init__(self, global_model, model_path):
self.lock = threading.Lock()
self.global_model = global_model
self.model_path = model_path
self... | 0.776792 | 0.225331 |
import sys
import torch.cuda
import os
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension
from torch.utils.cpp_extension import CUDA_HOME, ROCM_HOME
if sys.platform == 'win32':
vc_version = os.getenv('VCToolsVersion', '')
if vc_version.startswith('14.... | test/cpp_extensions/setup.py | import sys
import torch.cuda
import os
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CppExtension, CUDAExtension
from torch.utils.cpp_extension import CUDA_HOME, ROCM_HOME
if sys.platform == 'win32':
vc_version = os.getenv('VCToolsVersion', '')
if vc_version.startswith('14.... | 0.263126 | 0.083703 |
# Author: <NAME> <<EMAIL>>
# License: BSD 3-clause
import os
import numpy as np
from sklearn.metrics import precision_recall_fscore_support
from marseille.io import load_csr
from marseille.custom_logging import logging
def main():
from docopt import docopt
usage = """
Usage:
baselines (cdcp|uk... | marseille/dummy_baselines.py |
# Author: <NAME> <<EMAIL>>
# License: BSD 3-clause
import os
import numpy as np
from sklearn.metrics import precision_recall_fscore_support
from marseille.io import load_csr
from marseille.custom_logging import logging
def main():
from docopt import docopt
usage = """
Usage:
baselines (cdcp|uk... | 0.645343 | 0.184602 |
import sys,os,importlib
from RiskQuantLib.Tool.codeBuilderTool import pythonScriptBuilder
def convertPathToImportPath(pathString:str):
"""
convertPathToImportPath(pathString:str) is a function to convert file path to class import path.
Parameters
----------
pathString : str
The relative pa... | RiskQuantLib/Build/buildShortcut.py | import sys,os,importlib
from RiskQuantLib.Tool.codeBuilderTool import pythonScriptBuilder
def convertPathToImportPath(pathString:str):
"""
convertPathToImportPath(pathString:str) is a function to convert file path to class import path.
Parameters
----------
pathString : str
The relative pa... | 0.417153 | 0.194158 |
import insightconnect_plugin_runtime
from insightconnect_plugin_runtime.exceptions import PluginException
from komand_get_url.util import constants
from komand_get_url.util.utils import Utils
from .schema import GetFileInput, GetFileOutput, Input, Output, Component
class GetFile(insightconnect_plugin_runtime.Action)... | plugins/get_url/komand_get_url/actions/get_file/action.py | import insightconnect_plugin_runtime
from insightconnect_plugin_runtime.exceptions import PluginException
from komand_get_url.util import constants
from komand_get_url.util.utils import Utils
from .schema import GetFileInput, GetFileOutput, Input, Output, Component
class GetFile(insightconnect_plugin_runtime.Action)... | 0.549399 | 0.069258 |
# To run this you probably need to:
# pip install pyvesync
# pip install python-dotenv
import os
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from pyvesync import VeSync
from dotenv import load_dotenv
load_dotenv()
# Setup VeSync, login, and get initial device info
vesync = VeSync(os.geten... | pro-ve-pro.py |
# To run this you probably need to:
# pip install pyvesync
# pip install python-dotenv
import os
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from pyvesync import VeSync
from dotenv import load_dotenv
load_dotenv()
# Setup VeSync, login, and get initial device info
vesync = VeSync(os.geten... | 0.276397 | 0.051942 |
import numpy as np
from composition.arenas.pick_place_arena import PickPlaceArena
from composition.env.compositional_env import CompositionalEnv
from composition.tasks.task_utils import dot_product_angle
import robosuite.utils.transform_utils as T
from robosuite.utils.placement_samplers import UniformRandomSampler
... | compositional-rl-benchmark/composition/composition/tasks/pick_place_subtask.py | import numpy as np
from composition.arenas.pick_place_arena import PickPlaceArena
from composition.env.compositional_env import CompositionalEnv
from composition.tasks.task_utils import dot_product_angle
import robosuite.utils.transform_utils as T
from robosuite.utils.placement_samplers import UniformRandomSampler
... | 0.781497 | 0.482795 |
from absl import logging
from joblib import Parallel, delayed
from PIL import ImageFile
import atlasmaker_io
import convert
def get_and_convert_image(image_location, image_convert_settings,
allow_truncated_images=False, disk_cache=False,
request_timeout=60, http_ma... | facets_atlasmaker/parallelize.py |
from absl import logging
from joblib import Parallel, delayed
from PIL import ImageFile
import atlasmaker_io
import convert
def get_and_convert_image(image_location, image_convert_settings,
allow_truncated_images=False, disk_cache=False,
request_timeout=60, http_ma... | 0.831759 | 0.334589 |
import random
import pytest
import trio
from ddht.resource_queue import ResourceQueue
async def _yield(num: int = 10, base: int = 0):
for _ in range(random.randint(0, num) + base):
await trio.lowlevel.checkpoint()
@pytest.mark.trio
async def test_resource_queue_fuzzy():
known_resources = {"a", "b"... | tests/core/test_resource_queue.py | import random
import pytest
import trio
from ddht.resource_queue import ResourceQueue
async def _yield(num: int = 10, base: int = 0):
for _ in range(random.randint(0, num) + base):
await trio.lowlevel.checkpoint()
@pytest.mark.trio
async def test_resource_queue_fuzzy():
known_resources = {"a", "b"... | 0.612541 | 0.36869 |
from django.conf.urls import include, url
from django.contrib.auth.models import User
from django.db import models
from django.test import TestCase, RequestFactory
from django.urls import resolve
from django.views import generic
from viewflow import flow
from viewflow.activation import STATUS
from viewflow.base import... | Scripts/ict/tests/test_views_start.py | from django.conf.urls import include, url
from django.contrib.auth.models import User
from django.db import models
from django.test import TestCase, RequestFactory
from django.urls import resolve
from django.views import generic
from viewflow import flow
from viewflow.activation import STATUS
from viewflow.base import... | 0.424173 | 0.20454 |
import operator
import random
import statistics
import timeit
from typing import Any, List, Type
import tabulate
import pysegmenttree._pysegmenttree_py
import pysegmenttree.c_extensions
def get_random_query(start: int, end: int):
query = [random.randint(start, end), random.randint(start, end)]
query.sort()
... | benchmarks/benchmark.py | import operator
import random
import statistics
import timeit
from typing import Any, List, Type
import tabulate
import pysegmenttree._pysegmenttree_py
import pysegmenttree.c_extensions
def get_random_query(start: int, end: int):
query = [random.randint(start, end), random.randint(start, end)]
query.sort()
... | 0.668447 | 0.284116 |
import numpy as np
import json
import scipy.signal
import matplotlib
import matplotlib.pyplot as plt
from helpers.misc import loadmat, Struct
def compile_outputs(data: dict, output_file_path: str) -> tuple:
g_0 = 9.80665 # [m/s^2] Gravitational acceleration constant
design = dict()
record = loadmat(outpu... | helpers/output.py |
import numpy as np
import json
import scipy.signal
import matplotlib
import matplotlib.pyplot as plt
from helpers.misc import loadmat, Struct
def compile_outputs(data: dict, output_file_path: str) -> tuple:
g_0 = 9.80665 # [m/s^2] Gravitational acceleration constant
design = dict()
record = loadmat(outpu... | 0.339718 | 0.277173 |
import json, random, copy
'''
NOTE: You must run this script from within the amt directory. If you are importing and
calling generate_usernames as a function, make sure to run os.chdir(<path to amt directory>)
Adjectives Source:
https://github.com/dariusk/corpora/raw/master/data/humans/descriptions.json
https://raw.g... | annotation/amt/generate_usernames.py | import json, random, copy
'''
NOTE: You must run this script from within the amt directory. If you are importing and
calling generate_usernames as a function, make sure to run os.chdir(<path to amt directory>)
Adjectives Source:
https://github.com/dariusk/corpora/raw/master/data/humans/descriptions.json
https://raw.g... | 0.400515 | 0.469155 |
import http.client
import logging
from telegram import Update, ParseMode, InlineKeyboardMarkup, InlineKeyboardButton, Chat
from telegram.ext import TypeHandler, CallbackContext, CommandHandler, MessageHandler, Filters
from bot import settings
from bot.const import TELEGRAM_BOT_TOKEN, DATABASE_FILE, DEBUG
from bot.git... | bot/main.py | import http.client
import logging
from telegram import Update, ParseMode, InlineKeyboardMarkup, InlineKeyboardButton, Chat
from telegram.ext import TypeHandler, CallbackContext, CommandHandler, MessageHandler, Filters
from bot import settings
from bot.const import TELEGRAM_BOT_TOKEN, DATABASE_FILE, DEBUG
from bot.git... | 0.350199 | 0.068133 |
import argparse
import os
import subprocess
import sys
from jinja2 import Environment, FileSystemLoader
def layzee_parser():
parser = argparse.ArgumentParser()
parser.add_argument("-p", "--provider",
default="libvirt",
help="vagrant provider to deploy on")
... | cli.py | import argparse
import os
import subprocess
import sys
from jinja2 import Environment, FileSystemLoader
def layzee_parser():
parser = argparse.ArgumentParser()
parser.add_argument("-p", "--provider",
default="libvirt",
help="vagrant provider to deploy on")
... | 0.290477 | 0.083106 |
from __future__ import division
import sys, time
sys.path.append('../../')
from tools.globalVariables import *
from fbaTools import fbaTools
from fba import fba
from tools.userError import userError
from tools.core.model import model
from tools.core.compound import compound
from tools.core.reaction import reaction
from... | Ali_codes/fba/fva.py | from __future__ import division
import sys, time
sys.path.append('../../')
from tools.globalVariables import *
from fbaTools import fbaTools
from fba import fba
from tools.userError import userError
from tools.core.model import model
from tools.core.compound import compound
from tools.core.reaction import reaction
from... | 0.462473 | 0.304571 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['GlobalNetworkEndpointArgs', 'GlobalNetworkEndpoint']
@pulumi.input_type
class GlobalNetworkEndpointArgs:
def __init__(__self__, *,
global... | sdk/python/pulumi_gcp/compute/global_network_endpoint.py |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['GlobalNetworkEndpointArgs', 'GlobalNetworkEndpoint']
@pulumi.input_type
class GlobalNetworkEndpointArgs:
def __init__(__self__, *,
global... | 0.859678 | 0.055183 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from builtins import zip, open
__author__ = "yuhao"
import numpy as np
import matplotlib.pyplot as plt
class Log(object):
"""
class for well log data
"""
def __init__(self, file_name=None, l... | pygeopressure/basic/well_log.py | from __future__ import (absolute_import, division, print_function,
unicode_literals)
from builtins import zip, open
__author__ = "yuhao"
import numpy as np
import matplotlib.pyplot as plt
class Log(object):
"""
class for well log data
"""
def __init__(self, file_name=None, l... | 0.750553 | 0.192312 |
from fastapi import FastAPI, HTTPException, Depends, Security
from models.api_permission import APIPermission
from fastapi.security.api_key import APIKeyHeader
from fastapi import FastAPI
from fastapi.security.api_key import APIKeyHeader
import uvicorn
from core.auth_repository import AuthRepository
from api.spoti impo... | main.py | from fastapi import FastAPI, HTTPException, Depends, Security
from models.api_permission import APIPermission
from fastapi.security.api_key import APIKeyHeader
from fastapi import FastAPI
from fastapi.security.api_key import APIKeyHeader
import uvicorn
from core.auth_repository import AuthRepository
from api.spoti impo... | 0.383988 | 0.053626 |
import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import requests
import csv
import dash
from dash import dcc
from dash import html
"""functions for state data"""
def hist_covid_state_data():
'''func to get historic covid data by state'''
url_hist = r"htt... | dash app wip.py | import numpy as np
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import requests
import csv
import dash
from dash import dcc
from dash import html
"""functions for state data"""
def hist_covid_state_data():
'''func to get historic covid data by state'''
url_hist = r"htt... | 0.445409 | 0.314682 |
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib.ticker import ScalarFormatter
from mpl_toolkits.mplot3d import Axes3D
class Plot2d(object):
def __init__(self, workdir, filepath, ndesign, nobject, name):
self.workdir = workdir
self.filepath = filepath
... | plot2d.py | import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from matplotlib.ticker import ScalarFormatter
from mpl_toolkits.mplot3d import Axes3D
class Plot2d(object):
def __init__(self, workdir, filepath, ndesign, nobject, name):
self.workdir = workdir
self.filepath = filepath
... | 0.438304 | 0.464416 |
from typing import Optional
from ....models.models import AgendaItem
from ....services.datastore.commands import GetManyRequest
from ....shared.patterns import FullQualifiedId
from ...generics.update import UpdateAction
from ...util.default_schema import DefaultSchema
from ...util.register import register_action
from ... | openslides_backend/action/actions/agenda_item/update.py | from typing import Optional
from ....models.models import AgendaItem
from ....services.datastore.commands import GetManyRequest
from ....shared.patterns import FullQualifiedId
from ...generics.update import UpdateAction
from ...util.default_schema import DefaultSchema
from ...util.register import register_action
from ... | 0.744471 | 0.218273 |
import os
import numpy as np
from time import time
import joblib
import theano
import theano.tensor as T
from foxhound.theano_utils import sharedX, floatX, intX
from foxhound.rng import np_rng
class W2VEmbedding(object):
def __init__(self, data_dir):
self.data_dir = data_dir
def __call__(self, vocab... | foxhound/inits.py | import os
import numpy as np
from time import time
import joblib
import theano
import theano.tensor as T
from foxhound.theano_utils import sharedX, floatX, intX
from foxhound.rng import np_rng
class W2VEmbedding(object):
def __init__(self, data_dir):
self.data_dir = data_dir
def __call__(self, vocab... | 0.535827 | 0.168207 |
import re
import memcache
from oslo.config import cfg
from six.moves.urllib import parse
from driverlog.openstack.common import log as logging
from driverlog.processor import config
from driverlog.processor import rcs
from driverlog.processor import utils
LOG = logging.getLogger(__name__)
def update_generator(me... | driverlog/processor/main.py |
import re
import memcache
from oslo.config import cfg
from six.moves.urllib import parse
from driverlog.openstack.common import log as logging
from driverlog.processor import config
from driverlog.processor import rcs
from driverlog.processor import utils
LOG = logging.getLogger(__name__)
def update_generator(me... | 0.207295 | 0.063978 |
# __author__ = 'kute'
# __mtime__ = '2016/12/24 20:45'
"""
多线程,协称 执行器
"""
import os
import attr
import gevent
from gevent import monkey
from gevent.pool import Pool
monkey.patch_all()
def valide_func(instance, attribute, value):
if not callable(value):
raise TypeError("{} is not callable")
... | eventor/core.py |
# __author__ = 'kute'
# __mtime__ = '2016/12/24 20:45'
"""
多线程,协称 执行器
"""
import os
import attr
import gevent
from gevent import monkey
from gevent.pool import Pool
monkey.patch_all()
def valide_func(instance, attribute, value):
if not callable(value):
raise TypeError("{} is not callable")
... | 0.242385 | 0.075824 |
from sklearn.manifold import TSNE
from sklearn.decomposition import PCA, KernelPCA
from umap import UMAP
import numpy as np
import pandas as pd
import phate
def dimensionality_reduction(data: pd.DataFrame,
features: list,
method: str,
... | CytoPy/flow/dim_reduction.py | from sklearn.manifold import TSNE
from sklearn.decomposition import PCA, KernelPCA
from umap import UMAP
import numpy as np
import pandas as pd
import phate
def dimensionality_reduction(data: pd.DataFrame,
features: list,
method: str,
... | 0.941995 | 0.465813 |
import base64
import time
import zipfile
import os
import uuid
import logging
from io import BytesIO
from pathlib import Path
import cv2
from flask import render_template, jsonify, request, send_file
from server import app, catalog
from server.cam import Cam
from server.metrics import Metrics
from server.sensors import... | startrackerpy/server/views.py | import base64
import time
import zipfile
import os
import uuid
import logging
from io import BytesIO
from pathlib import Path
import cv2
from flask import render_template, jsonify, request, send_file
from server import app, catalog
from server.cam import Cam
from server.metrics import Metrics
from server.sensors import... | 0.589835 | 0.217275 |
# Copyright (c) 2018 <NAME>
import argparse
from collections import OrderedDict
import glob
import os.path
import re
import subprocess
import sys
from html.parser import HTMLParser
from typing import Callable, List, NamedTuple, Optional, Tuple
__version__ = "0.2"
DEFAULT_NAMESPACE = "man.linux.org.1.0"
IN_PATH = "... | man2qhelp.py |
# Copyright (c) 2018 <NAME>
import argparse
from collections import OrderedDict
import glob
import os.path
import re
import subprocess
import sys
from html.parser import HTMLParser
from typing import Callable, List, NamedTuple, Optional, Tuple
__version__ = "0.2"
DEFAULT_NAMESPACE = "man.linux.org.1.0"
IN_PATH = "... | 0.589953 | 0.149128 |
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
import cgi
import os
import shutil
def savefile(fname, messagecontent):
os.chdir('files\\subs')
with open(fname, 'wb') as ufl:
ufl.write(messagecontent)
ufl.close()
os.chdir('..\\..')
print "File saved!"
def esc... | site.py | from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
import cgi
import os
import shutil
def savefile(fname, messagecontent):
os.chdir('files\\subs')
with open(fname, 'wb') as ufl:
ufl.write(messagecontent)
ufl.close()
os.chdir('..\\..')
print "File saved!"
def esc... | 0.16654 | 0.048114 |
import os
from datetime import date
from typing import Dict, Type, Optional, List
from unittest import TestCase, main
import sqlalchemy as orm
from sqlalchemy.ext.declarative import declarative_base
from dotenv import load_dotenv
from judah.destinations.database.connection import DatabaseConnection
from judah.destina... | test/test_destinations/test_database/test_model.py | import os
from datetime import date
from typing import Dict, Type, Optional, List
from unittest import TestCase, main
import sqlalchemy as orm
from sqlalchemy.ext.declarative import declarative_base
from dotenv import load_dotenv
from judah.destinations.database.connection import DatabaseConnection
from judah.destina... | 0.71113 | 0.243389 |
import os
os.getcwd()
#%%
os.chdir("C:\\Users\\LEEMK\\Downloads\\handson-ml-master")
#%%
# 파이썬 2와 파이썬 3 지원
from __future__ import division, print_function, unicode_literals
# 공통
import numpy as np
import os
# 일관된 출력을 위해 유사난수 초기화
np.random.seed(42)
# 맷플롯립 설정
%matplotlib inline
import matplotlib
import matplotlib.pyp... | Chapter02.py | import os
os.getcwd()
#%%
os.chdir("C:\\Users\\LEEMK\\Downloads\\handson-ml-master")
#%%
# 파이썬 2와 파이썬 3 지원
from __future__ import division, print_function, unicode_literals
# 공통
import numpy as np
import os
# 일관된 출력을 위해 유사난수 초기화
np.random.seed(42)
# 맷플롯립 설정
%matplotlib inline
import matplotlib
import matplotlib.pyp... | 0.121908 | 0.282073 |
from flask_sqlalchemy import SQLAlchemy
from CTFd import models
from socket import inet_aton, inet_ntoa
from struct import unpack, pack
from struct import *
from time import ctime,sleep
from os import system
from CTFd.models import *
import socket
import struct
import ctypes
import datetime
import thread, time
import ... | CTFd/privatesecurity.py | from flask_sqlalchemy import SQLAlchemy
from CTFd import models
from socket import inet_aton, inet_ntoa
from struct import unpack, pack
from struct import *
from time import ctime,sleep
from os import system
from CTFd.models import *
import socket
import struct
import ctypes
import datetime
import thread, time
import ... | 0.377885 | 0.076201 |
import time
import random
import ssl
import imaplib
from email import message_from_bytes, message_from_string
from email.header import decode_header
from email.message import Message
from email.utils import parseaddr, parsedate_to_datetime
from typing import Any, List, Optional, Union, Dict
import arrow
import regex ... | pyatom/client/imap.py |
import time
import random
import ssl
import imaplib
from email import message_from_bytes, message_from_string
from email.header import decode_header
from email.message import Message
from email.utils import parseaddr, parsedate_to_datetime
from typing import Any, List, Optional, Union, Dict
import arrow
import regex ... | 0.67822 | 0.066812 |
import base64
import datetime
import json
import logging
import os
from typing import Any, Dict, Optional
from google.cloud import firestore
from google.cloud.functions_v1.context import Context
import google.cloud.logging
import pytz
# Set-up logging
client = google.cloud.logging.Client()
handler = google.cloud.logg... | cfs/long_running_task_writer/main.py | import base64
import datetime
import json
import logging
import os
from typing import Any, Dict, Optional
from google.cloud import firestore
from google.cloud.functions_v1.context import Context
import google.cloud.logging
import pytz
# Set-up logging
client = google.cloud.logging.Client()
handler = google.cloud.logg... | 0.562657 | 0.07221 |
from django.db import models
from django.contrib.auth.models import User
from django import forms
class Customer(models.Model):
customer = models.OneToOneField(User, null=True, blank=True, on_delete=models.CASCADE)
fname = models.CharField(max_length=100, default="Jhon")
lname = models.CharField(max_length... | shop/models.py | from django.db import models
from django.contrib.auth.models import User
from django import forms
class Customer(models.Model):
customer = models.OneToOneField(User, null=True, blank=True, on_delete=models.CASCADE)
fname = models.CharField(max_length=100, default="Jhon")
lname = models.CharField(max_length... | 0.52074 | 0.081886 |
import pandas as pd
try:
from boolean1_neg import boolean1
except ImportError:
from contra_qa.text_generation.boolean1_neg import boolean1
try:
from boolean2_S_and import boolean2
except ImportError:
from contra_qa.text_generation.boolean2_S_and import boolean2
try:
from boolean3_NP_and import b... | contra_qa/text_generation/boolean_data_gen.py | import pandas as pd
try:
from boolean1_neg import boolean1
except ImportError:
from contra_qa.text_generation.boolean1_neg import boolean1
try:
from boolean2_S_and import boolean2
except ImportError:
from contra_qa.text_generation.boolean2_S_and import boolean2
try:
from boolean3_NP_and import b... | 0.465145 | 0.267121 |
import logging
import itchat
import robot
import log
from config import friend_wechat_remarknames,reply_msg_from_myself
logger = logging.getLogger('MyItChatDemo')
reply_friends = []
@itchat.msg_register(itchat.content.TEXT)
def msg_reply(msg):
print(msg)
content = msg['Text']
from_user_name = msg['FromUs... | ChatRobot_Demo/startup.py | import logging
import itchat
import robot
import log
from config import friend_wechat_remarknames,reply_msg_from_myself
logger = logging.getLogger('MyItChatDemo')
reply_friends = []
@itchat.msg_register(itchat.content.TEXT)
def msg_reply(msg):
print(msg)
content = msg['Text']
from_user_name = msg['FromUs... | 0.139866 | 0.045395 |
from pytorch_lightning.core.lightning import LightningModule
from entity_typing_framework.utils.implemented_classes_lvl1 import IMPLEMENTED_CLASSES_LVL1
import torch
class BaseEntityTypingNetwork(LightningModule):
'''
Basic :ref:`EntityTypingNetwork <EntityTypingNetwork>`. This module is able to use the follo... | entity_typing_framework/EntityTypingNetwork_classes/base_network.py | from pytorch_lightning.core.lightning import LightningModule
from entity_typing_framework.utils.implemented_classes_lvl1 import IMPLEMENTED_CLASSES_LVL1
import torch
class BaseEntityTypingNetwork(LightningModule):
'''
Basic :ref:`EntityTypingNetwork <EntityTypingNetwork>`. This module is able to use the follo... | 0.897505 | 0.466785 |
from typing import Literal
from ..resources.SearchResultResources import SearchListResponse
from googleapiclient.discovery import Resource
class Search:
def __init__(self, client: Resource) -> None:
self.client: Resource = client
# That's a lot of parameters!
# With the amount of params this has, a... | src/ytwrapper/apis/Searches.py | from typing import Literal
from ..resources.SearchResultResources import SearchListResponse
from googleapiclient.discovery import Resource
class Search:
def __init__(self, client: Resource) -> None:
self.client: Resource = client
# That's a lot of parameters!
# With the amount of params this has, a... | 0.562657 | 0.194215 |
from imutils.video import FPS
import imutils
import os
import cv2
import shutil
import time
import show_option_trafic_sign
import define
def on_pos_video_trackbar(val):
global vs, frame_index
if val != frame_index:
frame_index = val
vs.set(cv2.CAP_PROP_POS_FRAMES, frame_index)
print("... | tracking_object_v0.1.py | from imutils.video import FPS
import imutils
import os
import cv2
import shutil
import time
import show_option_trafic_sign
import define
def on_pos_video_trackbar(val):
global vs, frame_index
if val != frame_index:
frame_index = val
vs.set(cv2.CAP_PROP_POS_FRAMES, frame_index)
print("... | 0.366363 | 0.223854 |
from typing import Any, Callable, Coroutine, Dict, List, Optional, Sequence, Type, Union
from django.urls import re_path
from django.views.decorators.csrf import csrf_exempt
from django.http import Http404, HttpResponseNotAllowed
from .fastapi import FastAPI
from .fastapi.params import Depends
from .fastapi.exception... | django_mini_fastapi/api.py | from typing import Any, Callable, Coroutine, Dict, List, Optional, Sequence, Type, Union
from django.urls import re_path
from django.views.decorators.csrf import csrf_exempt
from django.http import Http404, HttpResponseNotAllowed
from .fastapi import FastAPI
from .fastapi.params import Depends
from .fastapi.exception... | 0.75985 | 0.060335 |
from urlparse import urlparse
import json
import urllib
import urllib2
import requests
from vilya.config import DOMAIN
from vilya.models.pull import PullRequest
from vilya.models.ticket import Ticket
from vilya.libs.push_notification import send_alert
def __enter__(data):
author = data.get('author')
type_ ... | dispatches/actions/pr_actions.py |
from urlparse import urlparse
import json
import urllib
import urllib2
import requests
from vilya.config import DOMAIN
from vilya.models.pull import PullRequest
from vilya.models.ticket import Ticket
from vilya.libs.push_notification import send_alert
def __enter__(data):
author = data.get('author')
type_ ... | 0.195517 | 0.175079 |
import attr
import scipy.special as sp
import numpy as np
from cached_property import cached_property
from scipy.integrate import quad
from scipy.optimize import minimize, brentq
from scipy.interpolate import (
InterpolatedUnivariateSpline as spline,
RectBivariateSpline,
)
from abc import ABCMeta, abstractmetho... | pydftools/selection.py | import attr
import scipy.special as sp
import numpy as np
from cached_property import cached_property
from scipy.integrate import quad
from scipy.optimize import minimize, brentq
from scipy.interpolate import (
InterpolatedUnivariateSpline as spline,
RectBivariateSpline,
)
from abc import ABCMeta, abstractmetho... | 0.90653 | 0.507385 |
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app
from joblib import load
pipeline = load('assets/pipeline.joblib')
import pandas as pd
@app.callba... | pages/predictions.py | import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
# Imports from this application
from app import app
from joblib import load
pipeline = load('assets/pipeline.joblib')
import pandas as pd
@app.callba... | 0.46952 | 0.181046 |
from pony.orm import Required, Database, Set, Optional, Json
from flask_login import UserMixin
from datetime import datetime
from enum import Enum
from pony.orm.dbapiprovider import StrConverter
from dinamit.core.constants import DomainCategory, DomainAction
from flask import request, url_for
db = Database()
class E... | dinamit/core/models.py | from pony.orm import Required, Database, Set, Optional, Json
from flask_login import UserMixin
from datetime import datetime
from enum import Enum
from pony.orm.dbapiprovider import StrConverter
from dinamit.core.constants import DomainCategory, DomainAction
from flask import request, url_for
db = Database()
class E... | 0.780997 | 0.18352 |
from builtins import range
import sys
import unittest
import re
import os.path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
from Exscript import Account
from Exscript.account import AccountPool
from Exscript.util.file import get_accounts_from_file
class AccountPoolTest(unittest.TestCase):
... | tests/Exscript/AccountPoolTest.py | from builtins import range
import sys
import unittest
import re
import os.path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', '..'))
from Exscript import Account
from Exscript.account import AccountPool
from Exscript.util.file import get_accounts_from_file
class AccountPoolTest(unittest.TestCase):
... | 0.358802 | 0.271016 |
import numpy as np
import tqdm
import geohash
import hnswlib
import random
import sys
from collections import defaultdict
base_alphabet = '0123456789abcdefghijklmnopqrstuv'
geo_alphabet = '0123456789bcdefghjkmnpqrstuvwxyz'
trantab = str.maketrans(geo_alphabet, base_alphabet)
def cosine_similarity(vector, matrix):
... | examples/geo_example.py | import numpy as np
import tqdm
import geohash
import hnswlib
import random
import sys
from collections import defaultdict
base_alphabet = '0123456789abcdefghijklmnopqrstuv'
geo_alphabet = '0123456789bcdefghjkmnpqrstuvwxyz'
trantab = str.maketrans(geo_alphabet, base_alphabet)
def cosine_similarity(vector, matrix):
... | 0.609757 | 0.48749 |
from .field import Field
from netforce import database
import netforce.model
class Many2One(Field):
def __init__(self, relation, string, condition=None, on_delete=None, **kw):
super(Many2One, self).__init__(string=string, index=True, **kw)
self.on_delete = on_delete or "set_null"
self.re... | netforce/netforce/model/fields/many2one.py |
from .field import Field
from netforce import database
import netforce.model
class Many2One(Field):
def __init__(self, relation, string, condition=None, on_delete=None, **kw):
super(Many2One, self).__init__(string=string, index=True, **kw)
self.on_delete = on_delete or "set_null"
self.re... | 0.482429 | 0.077239 |
VERSION = "20210720 2217 "
import datetime
import humanize
import numpy as np
import os
import pandas as pd
import plotly.express as px
import pyperclip
import re
import sidetable
import snowflake.connector
import time
from snowflake.connector.pandas_tools import write_pandas
from dotenv import load_dotenv
_ = load_... | setup.py |
VERSION = "20210720 2217 "
import datetime
import humanize
import numpy as np
import os
import pandas as pd
import plotly.express as px
import pyperclip
import re
import sidetable
import snowflake.connector
import time
from snowflake.connector.pandas_tools import write_pandas
from dotenv import load_dotenv
_ = load_... | 0.474144 | 0.2438 |
from __future__ import annotations
import glob
import os
from typing import Callable, Dict, Optional, Type
import ray
from ray.rllib.agents.trainer import Trainer
from ray.rllib.env.multi_agent_env import MultiAgentEnv
from ray.tune.registry import register_env
from skdecide import Domain, Solver
from skdecide.buil... | skdecide/hub/solver/ray_rllib/ray_rllib.py |
from __future__ import annotations
import glob
import os
from typing import Callable, Dict, Optional, Type
import ray
from ray.rllib.agents.trainer import Trainer
from ray.rllib.env.multi_agent_env import MultiAgentEnv
from ray.tune.registry import register_env
from skdecide import Domain, Solver
from skdecide.buil... | 0.836955 | 0.240869 |
import numpy as np
import _pickle as cPickle
import matplotlib.pyplot as plt
from scipy.spatial.distance import cdist
from sklearn.preprocessing import OneHotEncoder
from sklearn.neighbors import NearestNeighbors
import scipy.sparse
import scipy.sparse.linalg
from sklearn.decomposition import PCA
import math
import nea... | lsh_hfs.py | import numpy as np
import _pickle as cPickle
import matplotlib.pyplot as plt
from scipy.spatial.distance import cdist
from sklearn.preprocessing import OneHotEncoder
from sklearn.neighbors import NearestNeighbors
import scipy.sparse
import scipy.sparse.linalg
from sklearn.decomposition import PCA
import math
import nea... | 0.598312 | 0.476823 |
import os
import pandas as pd
import numpy as np
from hydra import utils
import itertools
from sklearn import preprocessing
class FeatureFactory:
def __init__(self, configs: dict, cv=None):
self.run_name = configs['exp_name']
self.data = configs.data
self.coldef = self.data.cols_definition... | src/speeder/feature/feature_utils.py | import os
import pandas as pd
import numpy as np
from hydra import utils
import itertools
from sklearn import preprocessing
class FeatureFactory:
def __init__(self, configs: dict, cv=None):
self.run_name = configs['exp_name']
self.data = configs.data
self.coldef = self.data.cols_definition... | 0.253584 | 0.295654 |
from __future__ import print_function
import cbor
import argparse
import datetime
import time
import pprint
import collections
import logging
logr = logging.getLogger( __name__ )
default_dirdata = { 'start': 0,
'num_src_dirs': 0,
'num_src_files': 0,
'num_tgt... | bin/parse_psync_infolog.py | from __future__ import print_function
import cbor
import argparse
import datetime
import time
import pprint
import collections
import logging
logr = logging.getLogger( __name__ )
default_dirdata = { 'start': 0,
'num_src_dirs': 0,
'num_src_files': 0,
'num_tgt... | 0.179171 | 0.099077 |
import unittest
import numpy as np
from pyml.linear_model.classification import sigmoid
from pyml.linear_model.classification import LogisticClassifier
class test_classification(unittest.TestCase):
def test_sigmoid(self):
result = sigmoid(np.array([0,2]))
true_result = np.array([0.5, 0.88079708]... | linear_model/tests/test_classification.py | import unittest
import numpy as np
from pyml.linear_model.classification import sigmoid
from pyml.linear_model.classification import LogisticClassifier
class test_classification(unittest.TestCase):
def test_sigmoid(self):
result = sigmoid(np.array([0,2]))
true_result = np.array([0.5, 0.88079708]... | 0.554953 | 0.705779 |
import management_utils.response_manager as ResponseManager
import management_utils.search_based_conversation as SBC
import data_retrieval.memoryManager as shortTermData
import management_utils.diabetesConversation as diabetesConversation
from management_utils.conditionChooser import ConditionChooser
from management_ut... | Client/dialogue_states/session1Start.py | import management_utils.response_manager as ResponseManager
import management_utils.search_based_conversation as SBC
import data_retrieval.memoryManager as shortTermData
import management_utils.diabetesConversation as diabetesConversation
from management_utils.conditionChooser import ConditionChooser
from management_ut... | 0.459319 | 0.366051 |
import os
import sys
import pickle
from typing import List, Tuple, Union
from difflib import ndiff
import torch
from torch.utils.data import DataLoader
import torch.optim as optim
import sentencepiece as spm
import sacrebleu
from hnmt.feedback_requester.util import calculate_entropy
from hnmt.utils import calculate_eff... | hnmt/feedback_requester/experiments/simulate_feedback_requester_use.py | import os
import sys
import pickle
from typing import List, Tuple, Union
from difflib import ndiff
import torch
from torch.utils.data import DataLoader
import torch.optim as optim
import sentencepiece as spm
import sacrebleu
from hnmt.feedback_requester.util import calculate_entropy
from hnmt.utils import calculate_eff... | 0.52683 | 0.22531 |
import random
import mock
from oslo_config import cfg
from oslo_config import fixture as oslo_fixture
from oslo_utils import uuidutils
from octavia.common import constants
import octavia.common.context
from octavia.tests.functional.api.v2 import base
CONF = cfg.CONF
class TestClusterQuotas(base.BaseAPITest):
... | octavia/tests/functional/api/v2/test_clusterquotas.py | import random
import mock
from oslo_config import cfg
from oslo_config import fixture as oslo_fixture
from oslo_utils import uuidutils
from octavia.common import constants
import octavia.common.context
from octavia.tests.functional.api.v2 import base
CONF = cfg.CONF
class TestClusterQuotas(base.BaseAPITest):
... | 0.378689 | 0.189634 |
import os
from datetime import timedelta
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../"))
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.conten... | backend/core/settings/base.py | import os
from datetime import timedelta
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../"))
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.conten... | 0.446495 | 0.098773 |
from win32api import *
from win32gui import *
import win32con
import sys, os
import time
from random import randint
class WindowsBalloonTip:
def __init__(self, title, msg):
message_map = {
win32con.WM_DESTROY: self.OnDestroy,
}
# Register the Window class.
... | Notification.py | from win32api import *
from win32gui import *
import win32con
import sys, os
import time
from random import randint
class WindowsBalloonTip:
def __init__(self, title, msg):
message_map = {
win32con.WM_DESTROY: self.OnDestroy,
}
# Register the Window class.
... | 0.210442 | 0.063599 |
import random
import pandas as pd
import numpy as np
from tqdm import tqdm
import datetime as dt
from itertools import combinations
import matplotlib.pyplot as plt
import collections
from sklearn.model_selection import StratifiedShuffleSplit, StratifiedKFold
from sklearn.metrics import average_precision_score, f1_score... | experiments/sequential_learning_finetune.py | import random
import pandas as pd
import numpy as np
from tqdm import tqdm
import datetime as dt
from itertools import combinations
import matplotlib.pyplot as plt
import collections
from sklearn.model_selection import StratifiedShuffleSplit, StratifiedKFold
from sklearn.metrics import average_precision_score, f1_score... | 0.874614 | 0.177205 |
import logging
import os
import subprocess
import xml.etree.ElementTree as ET
from datetime import datetime
from glob import glob
import feedgenerator
import requests
from scipy.special import softmax
logging.basicConfig()
log = logging.getLogger(__name__)
def main():
harvest_since_last_modification()
entr... | fetch.py | import logging
import os
import subprocess
import xml.etree.ElementTree as ET
from datetime import datetime
from glob import glob
import feedgenerator
import requests
from scipy.special import softmax
logging.basicConfig()
log = logging.getLogger(__name__)
def main():
harvest_since_last_modification()
entr... | 0.39946 | 0.162712 |
import numpy
from pypyr.mesh import Basis, ElementFinder, ElementQuadrature, BoundaryQuadrature
import itertools as it
from pypyr.timing import *
def processIndices(basis, boundarytags):
""" Given a basis (a collection of elements) and a set of boundaries, extract the internal and external degrees of freedom
... | src/pypyr/assembly.py | import numpy
from pypyr.mesh import Basis, ElementFinder, ElementQuadrature, BoundaryQuadrature
import itertools as it
from pypyr.timing import *
def processIndices(basis, boundarytags):
""" Given a basis (a collection of elements) and a set of boundaries, extract the internal and external degrees of freedom
... | 0.720958 | 0.70076 |
import numpy as np
import cv2
import lines
def draw_lane(img, warped_img, left_points, right_points, Minv):
# Create an image to draw the lines on
warp_zero = np.zeros_like(warped_img).astype(np.uint8)
color_warp = np.dstack((warp_zero, warp_zero, warp_zero))
# Recast the x and y points into usable fo... | draw.py | import numpy as np
import cv2
import lines
def draw_lane(img, warped_img, left_points, right_points, Minv):
# Create an image to draw the lines on
warp_zero = np.zeros_like(warped_img).astype(np.uint8)
color_warp = np.dstack((warp_zero, warp_zero, warp_zero))
# Recast the x and y points into usable fo... | 0.81335 | 0.650883 |
import os
import logging
import argparse
import configparser
import pyhit
import moosetree
import utils
def getParserArguments():
"""
Gets the arguments provided by the user via the command-line
Return
args: the arguments provided by the user and parsed by the Argument Parser
"""
# Crea... | adapter/template_parser.py |
import os
import logging
import argparse
import configparser
import pyhit
import moosetree
import utils
def getParserArguments():
"""
Gets the arguments provided by the user via the command-line
Return
args: the arguments provided by the user and parsed by the Argument Parser
"""
# Crea... | 0.562898 | 0.149531 |
from pwn import * #Pwn Tools
import time # Sometimes the connection would time out a lot, using time.sleep reduced the timeouts.
context.log_level = 'critical' # Pwn tools config to tell us everything
lines = [] # Empty array which will contain all raw outputs
flag_chars = "" # Empty string where the entire output w... | pwn/SOLVED_printf-please/ape.py | from pwn import * #Pwn Tools
import time # Sometimes the connection would time out a lot, using time.sleep reduced the timeouts.
context.log_level = 'critical' # Pwn tools config to tell us everything
lines = [] # Empty array which will contain all raw outputs
flag_chars = "" # Empty string where the entire output w... | 0.167729 | 0.521167 |
import socket
from threading import Thread
from smserver.smutils import smconn
class SocketConn(smconn.StepmaniaConn, Thread):
ENCODING = "binary"
def __init__(self, serv, ip, port, conn):
Thread.__init__(self)
smconn.StepmaniaConn.__init__(self, serv, ip, port)
self._conn = conn
... | smserver/smutils/smconnections/smtcpsocket.py |
import socket
from threading import Thread
from smserver.smutils import smconn
class SocketConn(smconn.StepmaniaConn, Thread):
ENCODING = "binary"
def __init__(self, serv, ip, port, conn):
Thread.__init__(self)
smconn.StepmaniaConn.__init__(self, serv, ip, port)
self._conn = conn
... | 0.322419 | 0.168515 |
import sys
import time
import logging
import praw
import prawcore
from pprint import pprint
submission_pool = []
# Set to True to test, posts won't be removed
POST_TEST_MODE = False
# Set to a discord webhook for announcements
DISCORD_WEBHOOK_URL = None
def main():
# SET THESE - reddit application configuration
... | enforce_posting_limits.py | import sys
import time
import logging
import praw
import prawcore
from pprint import pprint
submission_pool = []
# Set to True to test, posts won't be removed
POST_TEST_MODE = False
# Set to a discord webhook for announcements
DISCORD_WEBHOOK_URL = None
def main():
# SET THESE - reddit application configuration
... | 0.319334 | 0.080177 |
from django.db import models
import logging
import datetime
from wi_model_util.imodel import *
from mongoengine import *
from base.settings import CHATPAMONGO
from app.util.messageque.msgsender import MessageSender
from app.customer.models.user import User
from app.util.shumeitools.shumeitools import *
connect(CHATPA... | app/customer/models/chat.py |
from django.db import models
import logging
import datetime
from wi_model_util.imodel import *
from mongoengine import *
from base.settings import CHATPAMONGO
from app.util.messageque.msgsender import MessageSender
from app.customer.models.user import User
from app.util.shumeitools.shumeitools import *
connect(CHATPA... | 0.174551 | 0.087019 |
import base64
import configparser
import ctypes
import json
import os
SEC_SUCCESS = 0
SEC_FAILURE = -1
NssDll = None
ProfilePath = ''
JsonConfigPath = ''
OutputFilePath = ''
# 主密码
MasterPwd = ''
class SECItem(ctypes.Structure):
_fields_ = [
('type', ctypes.c_int),
('data', ctypes.c_char_p),
('len... | MozillaPwd.py |
import base64
import configparser
import ctypes
import json
import os
SEC_SUCCESS = 0
SEC_FAILURE = -1
NssDll = None
ProfilePath = ''
JsonConfigPath = ''
OutputFilePath = ''
# 主密码
MasterPwd = ''
class SECItem(ctypes.Structure):
_fields_ = [
('type', ctypes.c_int),
('data', ctypes.c_char_p),
('len... | 0.237576 | 0.080937 |
import copy
from astropy import units
import numpy as np
from ._deriv import numpy_ufunc_derivatives, math_derivatives
from ..py_utils import check_iterable
from ..logger import logger
__all__ = ['unit_property', 'UFloat', 'ufloat', 'units']
# pylint:disable=no-else-return,no-else-raise
def _filter_compatible(inp... | astropop/math/physical.py | import copy
from astropy import units
import numpy as np
from ._deriv import numpy_ufunc_derivatives, math_derivatives
from ..py_utils import check_iterable
from ..logger import logger
__all__ = ['unit_property', 'UFloat', 'ufloat', 'units']
# pylint:disable=no-else-return,no-else-raise
def _filter_compatible(inp... | 0.757256 | 0.393036 |
import os
import codecs
import date as dg
import pandas as pd
import datetime
def generate_line(timestamp, ass_assignment, calls : int = 0):
line = dg.timestamp_to_date(timestamp)
hour = int(line.split(" ")[1].split(":")[0])
month = int(line.split(" ")[0].split("-")[1])
week_day = datetime.datetime.fro... | src/build_train_csv.py | import os
import codecs
import date as dg
import pandas as pd
import datetime
def generate_line(timestamp, ass_assignment, calls : int = 0):
line = dg.timestamp_to_date(timestamp)
hour = int(line.split(" ")[1].split(":")[0])
month = int(line.split(" ")[0].split("-")[1])
week_day = datetime.datetime.fro... | 0.015248 | 0.063599 |
import pprint
import re # noqa: F401
import six
from nexus_api_python_client.configuration import Configuration
class ApiCertificate(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:... | nexus_api_python_client/models/api_certificate.py | import pprint
import re # noqa: F401
import six
from nexus_api_python_client.configuration import Configuration
class ApiCertificate(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:... | 0.607081 | 0.081593 |
import sys
from functools import partial
from flask import render_template
from .utils import LazyView
__all__ = ('LazyViews', )
string_types = (str, unicode) if sys.version_info[0] < 3 else (str, ) # noqa
class LazyViews(object):
"""
Main instance for adding *lazy* views to Flask application or bluep... | flask_lazyviews/lazyviews.py | import sys
from functools import partial
from flask import render_template
from .utils import LazyView
__all__ = ('LazyViews', )
string_types = (str, unicode) if sys.version_info[0] < 3 else (str, ) # noqa
class LazyViews(object):
"""
Main instance for adding *lazy* views to Flask application or bluep... | 0.5 | 0.193223 |
import sys
from .retworkx import *
sys.modules['retworkx.generators'] = generators
class PyDAG(PyDiGraph):
"""A class for creating direct acyclic graphs.
PyDAG is just an alias of the PyDiGraph class and behaves identically to
the :class:`~retworkx.PyDiGraph` class and can be used interchangably
wi... | retworkx/__init__.py |
import sys
from .retworkx import *
sys.modules['retworkx.generators'] = generators
class PyDAG(PyDiGraph):
"""A class for creating direct acyclic graphs.
PyDAG is just an alias of the PyDiGraph class and behaves identically to
the :class:`~retworkx.PyDiGraph` class and can be used interchangably
wi... | 0.589716 | 0.66113 |
from dataclasses import dataclass
from math import factorial as f
# pip install prototools
from prototools import Menu, textbox, int_input
N = 10
def sinx(x, n=N):
return sum((-1)**k * x**(2*k + 1) / f(2*k + 1) for k in range(n + 1))
def cosx(x, n=N):
return sum((-1)**k * x**(2*k) / f(2*k) for k in range(n... | soluciones/aproximacion_series_maclaurin/main.py | from dataclasses import dataclass
from math import factorial as f
# pip install prototools
from prototools import Menu, textbox, int_input
N = 10
def sinx(x, n=N):
return sum((-1)**k * x**(2*k + 1) / f(2*k + 1) for k in range(n + 1))
def cosx(x, n=N):
return sum((-1)**k * x**(2*k) / f(2*k) for k in range(n... | 0.659186 | 0.414366 |
import base64
import pytest
from unittest.mock import call, Mock, patch
import synapseclient.__main__ as cmdline
from synapseclient.core.exceptions import SynapseAuthenticationError, SynapseNoCredentialsError
import synapseutils
def test_command_sync(syn):
"""Test the sync function.
Since this function onl... | tests/unit/synapseclient/unit_test_commandline.py | import base64
import pytest
from unittest.mock import call, Mock, patch
import synapseclient.__main__ as cmdline
from synapseclient.core.exceptions import SynapseAuthenticationError, SynapseNoCredentialsError
import synapseutils
def test_command_sync(syn):
"""Test the sync function.
Since this function onl... | 0.562056 | 0.268258 |
from argparse import ArgumentParser
from omsdk.sdkfile import LocalFile
from omsdk.sdkcenum import TypeHelper
from omsdk.catalog.sdkupdatemgr import UpdateManager
from omsdk.catalog.sdkhttpsrc import DownloadProtocolEnum
from omdrivers.helpers.iDRAC.UpdateHelper import UpdateHelper
from omsdk.omlogs.Logger import... | omdrivers/helpers/iDRAC/RepoBuilder.py | from argparse import ArgumentParser
from omsdk.sdkfile import LocalFile
from omsdk.sdkcenum import TypeHelper
from omsdk.catalog.sdkupdatemgr import UpdateManager
from omsdk.catalog.sdkhttpsrc import DownloadProtocolEnum
from omdrivers.helpers.iDRAC.UpdateHelper import UpdateHelper
from omsdk.omlogs.Logger import... | 0.37319 | 0.065396 |
from datetime import datetime
from typing import List, Optional
from pepper.brain.utils.helper_functions import casefold
class RDFBase(object):
@property
def label(self):
# type: () -> str
raise NotImplementedError()
@property
def offset(self):
# type: () -> slice
ra... | pepper/brain/utils/response.py | from datetime import datetime
from typing import List, Optional
from pepper.brain.utils.helper_functions import casefold
class RDFBase(object):
@property
def label(self):
# type: () -> str
raise NotImplementedError()
@property
def offset(self):
# type: () -> slice
ra... | 0.897354 | 0.273902 |