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
import sys
import time
import json
import random
import itertools
import subprocess
def expjson(
root_dir,
experiment_id,
epoch = None,
iteration = None,
columns = {},
meta = {},
tag = '',
name = None,
git_revision = True,
git_http = None
):
if git_revision is True:
try:
git_revision, git_co... | exphtml.py | import os
import sys
import time
import json
import random
import itertools
import subprocess
def expjson(
root_dir,
experiment_id,
epoch = None,
iteration = None,
columns = {},
meta = {},
tag = '',
name = None,
git_revision = True,
git_http = None
):
if git_revision is True:
try:
git_revision, git_co... | 0.215681 | 0.105211 |
from functools import partial
from uuid import uuid4
from shakenfist import baseobject
from shakenfist.baseobject import (
DatabaseBackedObject as dbo,
DatabaseBackedObjectIterator as dbo_iter)
from shakenfist import blob
from shakenfist import etcd
from shakenfist import exceptions
from shakenfist import log... | shakenfist/artifact.py |
from functools import partial
from uuid import uuid4
from shakenfist import baseobject
from shakenfist.baseobject import (
DatabaseBackedObject as dbo,
DatabaseBackedObjectIterator as dbo_iter)
from shakenfist import blob
from shakenfist import etcd
from shakenfist import exceptions
from shakenfist import log... | 0.616936 | 0.167015 |
import numpy as np
import nlopt as nl
from .types import Folds
from dora.regressors.gp import predict
from dora.regressors.gp import linalg
from dora.regressors.gp import types
import sklearn.cluster as skcluster
import scipy.interpolate as interp
from scipy.spatial import Delaunay
import scipy.stats as stats
from scip... | dora/regressors/gp/train.py | import numpy as np
import nlopt as nl
from .types import Folds
from dora.regressors.gp import predict
from dora.regressors.gp import linalg
from dora.regressors.gp import types
import sklearn.cluster as skcluster
import scipy.interpolate as interp
from scipy.spatial import Delaunay
import scipy.stats as stats
from scip... | 0.564579 | 0.387864 |
from django import forms
from budgets.models import Budget
class WilburForm(forms.Form):
def __init__(self, *args, **kwargs):
kwargs.setdefault('label_suffix', '')
super(WilburForm, self).__init__(*args, **kwargs)
class BudgetForm(WilburForm):
category = forms.ModelChoiceField(
... | budgets/forms.py | from django import forms
from budgets.models import Budget
class WilburForm(forms.Form):
def __init__(self, *args, **kwargs):
kwargs.setdefault('label_suffix', '')
super(WilburForm, self).__init__(*args, **kwargs)
class BudgetForm(WilburForm):
category = forms.ModelChoiceField(
... | 0.622804 | 0.080973 |
# Obtains all user input and loops the program
def userInput():
# Initialize variables
selectContinue = 'Y'
selectPuzzle = 0
# User inputs anything other than no
while(not(selectContinue == 'N' or selectContinue == 'n')):
# User selects a puzzle
print "Please select a Sudoku Puzzle. [1-25]: ... | SudokuSolver.py |
# Obtains all user input and loops the program
def userInput():
# Initialize variables
selectContinue = 'Y'
selectPuzzle = 0
# User inputs anything other than no
while(not(selectContinue == 'N' or selectContinue == 'n')):
# User selects a puzzle
print "Please select a Sudoku Puzzle. [1-25]: ... | 0.453988 | 0.323701 |
import os
import argparse
import importlib
from natsort import natsorted
from tqdm import tqdm, trange
from collections import Counter
import numpy as np
from imageio import imwrite
from scipy.spatial.transform import Rotation
from lib.misc.pano_lsd_align import rotatePanorama, panoEdgeDetection
import torch
import t... | evaluate/previous_works/HoHoNet/test_depth.py | import os
import argparse
import importlib
from natsort import natsorted
from tqdm import tqdm, trange
from collections import Counter
import numpy as np
from imageio import imwrite
from scipy.spatial.transform import Rotation
from lib.misc.pano_lsd_align import rotatePanorama, panoEdgeDetection
import torch
import t... | 0.651577 | 0.203846 |
from ariadne_jwt.utils import get_payload
from ariadne_jwt.shortcuts import create_refresh_token, get_refresh_token
from ..testcases import SchemaTestCase
from ..decorators import override_jwt_settings
from ..context_managers import back_to_the_future, refresh_expired
class TokenAuthTests(SchemaTestCase):
@overr... | tests/refresh_token/test_mutations.py | from ariadne_jwt.utils import get_payload
from ariadne_jwt.shortcuts import create_refresh_token, get_refresh_token
from ..testcases import SchemaTestCase
from ..decorators import override_jwt_settings
from ..context_managers import back_to_the_future, refresh_expired
class TokenAuthTests(SchemaTestCase):
@overr... | 0.532425 | 0.177847 |
import numpy as np
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_raises
from sklearn.dummy import DummyClassifier
from sklearn.dummy import DummyRegressor
def _check_p... | python/sklearn/sklearn/tests/test_dummy.py | import numpy as np
from sklearn.utils.testing import assert_array_equal
from sklearn.utils.testing import assert_equal
from sklearn.utils.testing import assert_almost_equal
from sklearn.utils.testing import assert_raises
from sklearn.dummy import DummyClassifier
from sklearn.dummy import DummyRegressor
def _check_p... | 0.760473 | 0.765199 |
async def help_handler(bot, message):
msg = str(message.content).split(" ")
command = msg[0:2]
devRole = message.guild.get_role(678262267279572993)
try:
# main help
if len(command) < 2 or command[1] == "":
response = await help_main()
# get all the different Help pa... | src/commands/help.py | async def help_handler(bot, message):
msg = str(message.content).split(" ")
command = msg[0:2]
devRole = message.guild.get_role(678262267279572993)
try:
# main help
if len(command) < 2 or command[1] == "":
response = await help_main()
# get all the different Help pa... | 0.537041 | 0.49469 |
from typing import Any, Dict, List, Optional
import numpy as np
import pandas as pd
from pandas.testing import assert_frame_equal
import pytest
import altair_transform
@pytest.fixture
def data() -> pd.DataFrame:
rand = np.random.RandomState(42)
df = pd.DataFrame(
{
"x": rand.randint(0, 1... | altair_transform/transform/tests/test_regression.py | from typing import Any, Dict, List, Optional
import numpy as np
import pandas as pd
from pandas.testing import assert_frame_equal
import pytest
import altair_transform
@pytest.fixture
def data() -> pd.DataFrame:
rand = np.random.RandomState(42)
df = pd.DataFrame(
{
"x": rand.randint(0, 1... | 0.876436 | 0.695435 |
import cv2
import numpy as np
from torch import nn
import torch
try:
from utils import SaveOutput
except:
from src.utils import SaveOutput
class GradCam():
def __init__(self, model, module, device):
self.device = device
self.module = module.to(device)
self.model = model.to(device... | src/explainers.py | import cv2
import numpy as np
from torch import nn
import torch
try:
from utils import SaveOutput
except:
from src.utils import SaveOutput
class GradCam():
def __init__(self, model, module, device):
self.device = device
self.module = module.to(device)
self.model = model.to(device... | 0.643665 | 0.332608 |
import numpy as np
from ... import utils
from ..base import BaseAlg
class ModelR(BaseAlg):
"""
The sender learns a model of the receiver and best responds to that model
"""
def __init__(
self,
n_state,
n_mess,
n_act,
n_runs,
alpha0=0.1,
eps0=0.... | signaling-games/algs/model_agents/model_r.py | import numpy as np
from ... import utils
from ..base import BaseAlg
class ModelR(BaseAlg):
"""
The sender learns a model of the receiver and best responds to that model
"""
def __init__(
self,
n_state,
n_mess,
n_act,
n_runs,
alpha0=0.1,
eps0=0.... | 0.783036 | 0.293544 |
from django.contrib.auth.models import User
from django.db.models import Q
from rest_framework import serializers, ISO_8601
from rest_framework.validators import UniqueValidator, UniqueTogetherValidator
from driver.models import Driver, DriverAppUser, GPSLogNew, OTP, GPSDevice, GPSDeviceLog, TracknovateGPSDevice, \
... | web/transiq/restapi/serializers/driver.py | from django.contrib.auth.models import User
from django.db.models import Q
from rest_framework import serializers, ISO_8601
from rest_framework.validators import UniqueValidator, UniqueTogetherValidator
from driver.models import Driver, DriverAppUser, GPSLogNew, OTP, GPSDevice, GPSDeviceLog, TracknovateGPSDevice, \
... | 0.725065 | 0.135261 |
from in_rdbms_helper import params_fac
from in_rdbms_helper import main_prepare
from in_rdbms_helper import mst_2_str
from utils import tstamp
import datetime
import time
from utils import DBBase
from utils import wait
from utils import cats
from imagenetcat import MODEL_SELECTION_TABLE
from imagenetcat import MODEL_SE... | src/run_mop.py | from in_rdbms_helper import params_fac
from in_rdbms_helper import main_prepare
from in_rdbms_helper import mst_2_str
from utils import tstamp
import datetime
import time
from utils import DBBase
from utils import wait
from utils import cats
from imagenetcat import MODEL_SELECTION_TABLE
from imagenetcat import MODEL_SE... | 0.370795 | 0.128881 |
import numpy as np
from ..hrf import spm_hrf
def _put(a, ind, v, mode='raise'):
"""np.put, not in-place."""
arr = a.copy()
np.put(arr, ind, v, mode)
return arr
def detection_power(X, tr, contrasts=None, weights=None):
"""Estimate detection power of design matrix.
Parameters
----------... | fmritools/design/efficiency.py | import numpy as np
from ..hrf import spm_hrf
def _put(a, ind, v, mode='raise'):
"""np.put, not in-place."""
arr = a.copy()
np.put(arr, ind, v, mode)
return arr
def detection_power(X, tr, contrasts=None, weights=None):
"""Estimate detection power of design matrix.
Parameters
----------... | 0.705379 | 0.762645 |
import sys
import operator
from multiprocessing import Process, Lock
import argparse
import nltk
import common
import fileio
import nltk_analyze
import make_wordcloud
import tokenizer
import dialogues
import sentiments
import translations
# TODO-list
# TODO:
# Topics. Maybe LDA (?)
APP_NAME="lingval"
VERSION_MAJOR... | main.py |
import sys
import operator
from multiprocessing import Process, Lock
import argparse
import nltk
import common
import fileio
import nltk_analyze
import make_wordcloud
import tokenizer
import dialogues
import sentiments
import translations
# TODO-list
# TODO:
# Topics. Maybe LDA (?)
APP_NAME="lingval"
VERSION_MAJOR... | 0.232484 | 0.092237 |
import numpy as np
from . import node2vec
from .utils import dim_reduction
class ATTRCOMB(object):
def __init__(self, graph, dim, comb_method='concat', comb_with='deepWalk', number_walks=10, walk_length=80, window=10, workers=8):
self.g = graph
self.dim = dim
self.number_walks = number_wa... | src/libnrl/attrcomb.py | import numpy as np
from . import node2vec
from .utils import dim_reduction
class ATTRCOMB(object):
def __init__(self, graph, dim, comb_method='concat', comb_with='deepWalk', number_walks=10, walk_length=80, window=10, workers=8):
self.g = graph
self.dim = dim
self.number_walks = number_wa... | 0.486332 | 0.24625 |
from flask import request, current_app
from flask_restplus import Resource
from sqlalchemy_filters import apply_sort, apply_pagination, apply_filters
from sqlalchemy import desc, cast, NUMERIC, func, or_
from werkzeug.exceptions import BadRequest
from app.extensions import api
from app.api.utils.access_decorators impo... | services/core-api/app/api/variances/resources/variance_resource.py | from flask import request, current_app
from flask_restplus import Resource
from sqlalchemy_filters import apply_sort, apply_pagination, apply_filters
from sqlalchemy import desc, cast, NUMERIC, func, or_
from werkzeug.exceptions import BadRequest
from app.extensions import api
from app.api.utils.access_decorators impo... | 0.713432 | 0.120129 |
from datasets import load_dataset, load_metric, Dataset
from transformers import AutoModelForQuestionAnswering, Trainer
from config import Config
from data_preparation import QAPreparer
def evaluate(model_id: str, language: str) -> dict:
# Load XQuAD
xquad = load_dataset('xquad', f'xquad.{language}', split=... | src/eval.py |
from datasets import load_dataset, load_metric, Dataset
from transformers import AutoModelForQuestionAnswering, Trainer
from config import Config
from data_preparation import QAPreparer
def evaluate(model_id: str, language: str) -> dict:
# Load XQuAD
xquad = load_dataset('xquad', f'xquad.{language}', split=... | 0.851382 | 0.411406 |
import sys, dia
# sys.path.insert(0, 'd:/graph/dia/dia')
class DumpRenderer :
def __init__ (self) :
pass
def begin_render (self, data, filename) :
# DiagramData
self.f = open(filename, "w")
self.f.write("Data: " + str(data) + "\n")
self.f.write("Extents: "+ str(data.extents) + "\n")
self.f.write("active... | interfaces/dia/plug-ins/python/export-render.py | import sys, dia
# sys.path.insert(0, 'd:/graph/dia/dia')
class DumpRenderer :
def __init__ (self) :
pass
def begin_render (self, data, filename) :
# DiagramData
self.f = open(filename, "w")
self.f.write("Data: " + str(data) + "\n")
self.f.write("Extents: "+ str(data.extents) + "\n")
self.f.write("active... | 0.195364 | 0.184473 |
from __future__ import absolute_import, print_function
import os
import os.path
from libpebble2.communication.transports.websocket import WebsocketTransport, MessageTargetPhone
from libpebble2.communication.transports.websocket.protocol import (
WebSocketInstallBundle, WebSocketInstallStatus)
from libpebble2.ex... | pebble_tool/commands/data_logging.py | from __future__ import absolute_import, print_function
import os
import os.path
from libpebble2.communication.transports.websocket import WebsocketTransport, MessageTargetPhone
from libpebble2.communication.transports.websocket.protocol import (
WebSocketInstallBundle, WebSocketInstallStatus)
from libpebble2.ex... | 0.231093 | 0.111241 |
import collections
import logging
import mkdocs.utils
from jinja2 import Environment
from mkdocs.plugins import BasePlugin
from mkdocs.structure.nav import Navigation, Section
from mkdocs.structure.pages import Page
from . import SectionPage, rewrites
__all__ = ["SectionIndexPlugin"]
log = logging.getLogger(f"mkdoc... | mkdocs_section_index/plugin.py | import collections
import logging
import mkdocs.utils
from jinja2 import Environment
from mkdocs.plugins import BasePlugin
from mkdocs.structure.nav import Navigation, Section
from mkdocs.structure.pages import Page
from . import SectionPage, rewrites
__all__ = ["SectionIndexPlugin"]
log = logging.getLogger(f"mkdoc... | 0.289874 | 0.094636 |
import threading
import struct
import bluetooth
class MotionTracker(object):
"""Class to track movement from MPU6050 Bluetooth device.
"""
def __init__(self, bd_addr, port=1):
"""Initialization for tracker object.
Args:
bd_addr (str) : Bluetooth address
port (int,... | src/motiontracker.py | import threading
import struct
import bluetooth
class MotionTracker(object):
"""Class to track movement from MPU6050 Bluetooth device.
"""
def __init__(self, bd_addr, port=1):
"""Initialization for tracker object.
Args:
bd_addr (str) : Bluetooth address
port (int,... | 0.663669 | 0.260678 |
import argparse
import os
import torch
class BaseOptions():
def __init__(self):
self.parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
self.parser.add_argument('--dataroot', required=True, help='path to images (should have subfolders trainA, trainB, valA, ... | options.py | import argparse
import os
import torch
class BaseOptions():
def __init__(self):
self.parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
self.parser.add_argument('--dataroot', required=True, help='path to images (should have subfolders trainA, trainB, valA, ... | 0.730482 | 0.117623 |
from flask import Flask, render_template, request, redirect, escape, session, url_for, flash
import database, hashlib, models, time, datetime, json
from database import db_session
from models import User, Message
app = Flask(__name__)
@app.teardown_appcontext
def shutdown_session(exception=None):
db_session.re... | chatta.py | from flask import Flask, render_template, request, redirect, escape, session, url_for, flash
import database, hashlib, models, time, datetime, json
from database import db_session
from models import User, Message
app = Flask(__name__)
@app.teardown_appcontext
def shutdown_session(exception=None):
db_session.re... | 0.356671 | 0.066055 |
import os
import sys
import numpy as np
import matplotlib.pylab as plt
from agent import Qlearner, SARSAlearner
from environment import Game
#delete this
'''
Plots the rewards
'''
def plot_agent_reward(rewards):
plt.plot(np.cumsum(rewards))
plt.title('Agent Cumulative Reward vs. Iteration')
plt.ylabel('Re... | play.py | import os
import sys
import numpy as np
import matplotlib.pylab as plt
from agent import Qlearner, SARSAlearner
from environment import Game
#delete this
'''
Plots the rewards
'''
def plot_agent_reward(rewards):
plt.plot(np.cumsum(rewards))
plt.title('Agent Cumulative Reward vs. Iteration')
plt.ylabel('Re... | 0.185873 | 0.326755 |
from DataObjects.Architecture.ClassFlatArchitecture import FlatArchitecture
from DataObjects.FlowDataTypes.ClassBaseAccess import BaseAccess
from DataObjects.ClassMultiDict import MultiDict
from DataObjects.Transitions.ClassTransitionv2 import Transition_v2
from Backend.Murphi.BaseConfig import BaseConfig
from Backen... | Backend/Murphi/MurphiModular/StateMachines/GenMurphiAccess.py |
from DataObjects.Architecture.ClassFlatArchitecture import FlatArchitecture
from DataObjects.FlowDataTypes.ClassBaseAccess import BaseAccess
from DataObjects.ClassMultiDict import MultiDict
from DataObjects.Transitions.ClassTransitionv2 import Transition_v2
from Backend.Murphi.BaseConfig import BaseConfig
from Backen... | 0.675122 | 0.254915 |
_base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py',
'../_base_/swa.py'
]
# model settings
model = dict(
type='CascadeRCNN',
pretrained='https://download.openmmlab.com/pretrain/third_party/res2net101_v1d_26w_4s_mmdetv2-f0a600f9.pth',
backbone=di... | configs/cascade_rcnn/config.py | _base_ = [
'../_base_/datasets/coco_detection.py',
'../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py',
'../_base_/swa.py'
]
# model settings
model = dict(
type='CascadeRCNN',
pretrained='https://download.openmmlab.com/pretrain/third_party/res2net101_v1d_26w_4s_mmdetv2-f0a600f9.pth',
backbone=di... | 0.313 | 0.163679 |
import argparse
import collections
import glob
import gzip
import itertools
import json
import multiprocessing as mp
import tarfile
import traceback
import os
import numpy as np
import tqdm
import zstandard as zstd
from sketchgraphs.data.sketch import Sketch
from sketchgraphs.data import flat_array
def _load_json(p... | sketchgraphs/pipeline/make_sketch_dataset.py | import argparse
import collections
import glob
import gzip
import itertools
import json
import multiprocessing as mp
import tarfile
import traceback
import os
import numpy as np
import tqdm
import zstandard as zstd
from sketchgraphs.data.sketch import Sketch
from sketchgraphs.data import flat_array
def _load_json(p... | 0.596786 | 0.161916 |
from __future__ import print_function
import ConfigParser
import collections
import hashlib
import json
import logging as log
import multiprocessing as mp
import signal
import os
import sys
import time
import shutil
from StringIO import StringIO
from Crypto import Random
from docoptcfg import DocoptcfgFileError
fro... | ansible/environments/prod/gce_googleapiclient.py | from __future__ import print_function
import ConfigParser
import collections
import hashlib
import json
import logging as log
import multiprocessing as mp
import signal
import os
import sys
import time
import shutil
from StringIO import StringIO
from Crypto import Random
from docoptcfg import DocoptcfgFileError
fro... | 0.429908 | 0.056392 |
import requests_html
import requests
import execjs
import time
import json
import re
import hashlib
# coding=UTF-8
from PIL import Image
import numpy as np
from io import BytesIO
def getpoint(imgcontent, position):
img = Image.open(BytesIO(imgcontent))
img.save('download.png')
w, h = img.s... | crack.py | import requests_html
import requests
import execjs
import time
import json
import re
import hashlib
# coding=UTF-8
from PIL import Image
import numpy as np
from io import BytesIO
def getpoint(imgcontent, position):
img = Image.open(BytesIO(imgcontent))
img.save('download.png')
w, h = img.s... | 0.101145 | 0.100481 |
from polygraphy import mod, util
from polygraphy.backend.base import BaseLoader
from polygraphy.logger import G_LOGGER
onnxrt = mod.lazy_import("onnxruntime")
@mod.export(funcify=True)
class SessionFromOnnx(BaseLoader):
"""
Functor that builds an ONNX-Runtime inference session.
"""
def __init__(self... | tools/Polygraphy/polygraphy/backend/onnxrt/loader.py | from polygraphy import mod, util
from polygraphy.backend.base import BaseLoader
from polygraphy.logger import G_LOGGER
onnxrt = mod.lazy_import("onnxruntime")
@mod.export(funcify=True)
class SessionFromOnnx(BaseLoader):
"""
Functor that builds an ONNX-Runtime inference session.
"""
def __init__(self... | 0.870858 | 0.196055 |
from django import forms
from django.contrib.auth.models import User
from pagedown.widgets import PagedownWidget
from .models import Post, Profile
class PostForm(forms.ModelForm):
publish = forms.DateField(widget=forms.SelectDateWidget)
class Meta:
model = Post
fields = [
"title",... | post/forms.py | from django import forms
from django.contrib.auth.models import User
from pagedown.widgets import PagedownWidget
from .models import Post, Profile
class PostForm(forms.ModelForm):
publish = forms.DateField(widget=forms.SelectDateWidget)
class Meta:
model = Post
fields = [
"title",... | 0.414069 | 0.085978 |
import logging
from django.conf import settings
from django.core.management import call_command
from django.db.models import Prefetch
from huey.contrib.djhuey import db_task, db_periodic_task
from huey import crontab
from .models import (
Transcript, TranscriptPhrase, TranscriptPhraseVote,
TranscriptPhraseCor... | mla_game/apps/transcript/tasks.py | import logging
from django.conf import settings
from django.core.management import call_command
from django.db.models import Prefetch
from huey.contrib.djhuey import db_task, db_periodic_task
from huey import crontab
from .models import (
Transcript, TranscriptPhrase, TranscriptPhraseVote,
TranscriptPhraseCor... | 0.437343 | 0.205475 |
import json
import html
import docopt
import yaml
template = """\
# Zwift Workout File Reference
This page describes the XML elements (tags) and attributes that can be used in
[Zwift workout files][zwift-support-workouts]. It's automatically generated by
analysing all of the workouts included with Zwift.
It's inten... | zwift_zwo_docs/render_docs.py | {code}\ | 0.411584 | 0.359645 |
import kv2
import pprint
example_input = r'''
<!-- dmx encoding keyvalues2 1 format dmx 18 -->
"DmElement"
{
"id" "elementid" "d1d1ffff-18a8-4fa7-ac0c-b436a32e5004"
"name" "string" "untitled"
"testarray" "element_array"
[
"element" "6a1cd593-a1bf-48d2-843a-cc7c8f3ae05e",
"element" "e6f90bc8-3b4c-4ea2-b863-c5c... | test.py | import kv2
import pprint
example_input = r'''
<!-- dmx encoding keyvalues2 1 format dmx 18 -->
"DmElement"
{
"id" "elementid" "d1d1ffff-18a8-4fa7-ac0c-b436a32e5004"
"name" "string" "untitled"
"testarray" "element_array"
[
"element" "6a1cd593-a1bf-48d2-843a-cc7c8f3ae05e",
"element" "e6f90bc8-3b4c-4ea2-b863-c5c... | 0.139602 | 0.201008 |
import threading
import time
from threading import RLock
from typing import List, Dict, Tuple
import predictor
from cloud_controller import THROUGHPUT_ENABLED, THROUGHPUT_PERCENTILES, DEFAULT_HARDWARE_ID
class MultiPredictor:
"""
A wrapper around a collection of Predictor instances. Creates and trains new pr... | cloud_controller/aggregator/multipredictor.py | import threading
import time
from threading import RLock
from typing import List, Dict, Tuple
import predictor
from cloud_controller import THROUGHPUT_ENABLED, THROUGHPUT_PERCENTILES, DEFAULT_HARDWARE_ID
class MultiPredictor:
"""
A wrapper around a collection of Predictor instances. Creates and trains new pr... | 0.912843 | 0.366136 |
import sys,os
APPS_HOME = "/usr/local/bin/" # where rcorrector is located
RCORRECTOR_CMD = 'perl '+APPS_HOME+"/Rcorrector/run_rcorrector.pl" # Basic command to call rcorrector
def rcorrector_se(se_fq,num_cores,DIR):
if DIR == ".": DIR = os.getcwd()
if os.path.isabs(DIR) == False: DIR = os.path.abspath(DIR)
if D... | src/pdc2/scripts/rcorrector_wrapper.py | import sys,os
APPS_HOME = "/usr/local/bin/" # where rcorrector is located
RCORRECTOR_CMD = 'perl '+APPS_HOME+"/Rcorrector/run_rcorrector.pl" # Basic command to call rcorrector
def rcorrector_se(se_fq,num_cores,DIR):
if DIR == ".": DIR = os.getcwd()
if os.path.isabs(DIR) == False: DIR = os.path.abspath(DIR)
if D... | 0.031972 | 0.129403 |
from .ast import Node
# ------------------------------------------------------------------------------
class CompilationUnit(Node):
attrs = ("package", "imports", "types")
class Import(Node):
attrs = ("path", "static", "wildcard")
class Documented(Node):
attrs = ("documentation",)
class Declaration... | javalang/tree.py | from .ast import Node
# ------------------------------------------------------------------------------
class CompilationUnit(Node):
attrs = ("package", "imports", "types")
class Import(Node):
attrs = ("path", "static", "wildcard")
class Documented(Node):
attrs = ("documentation",)
class Declaration... | 0.750187 | 0.407245 |
from .maps import Map
from .geometry import (
clean,
get_intersection,
kind_mapping,
)
from .projection import project
from logging.handlers import QueueHandler, QueueListener
from shapely.geometry import shape
from shapely.geos import TopologicalError
import datetime
import logging
import math
import multi... | pandarus/intersections.py | from .maps import Map
from .geometry import (
clean,
get_intersection,
kind_mapping,
)
from .projection import project
from logging.handlers import QueueHandler, QueueListener
from shapely.geometry import shape
from shapely.geos import TopologicalError
import datetime
import logging
import math
import multi... | 0.553988 | 0.248352 |
from bs4 import BeautifulSoup
import requests
from requests.exceptions import ConnectionError, HTTPError, Timeout
import pickle
import vim
import sys
import os
import re
import tex_handler
AT_CODER_BASE_URL = 'https://atcoder.jp'
AT_CODER_LOGIN_URL = AT_CODER_BASE_URL + '/login'
class AtVimCoder:
def __init__(self):... | python3/at_vim_coder.py | from bs4 import BeautifulSoup
import requests
from requests.exceptions import ConnectionError, HTTPError, Timeout
import pickle
import vim
import sys
import os
import re
import tex_handler
AT_CODER_BASE_URL = 'https://atcoder.jp'
AT_CODER_LOGIN_URL = AT_CODER_BASE_URL + '/login'
class AtVimCoder:
def __init__(self):... | 0.053132 | 0.096068 |
import psycopg2
import os
import requests
import json
import time
import arrow
import logging
from typing import List, Tuple, Dict, Any
from collections import defaultdict
from apscheduler.schedulers.blocking import BlockingScheduler
from telegram_bot import Bot
logging.basicConfig(format='%(asctime)s %(levelname)s ... | batch_process_data.py | import psycopg2
import os
import requests
import json
import time
import arrow
import logging
from typing import List, Tuple, Dict, Any
from collections import defaultdict
from apscheduler.schedulers.blocking import BlockingScheduler
from telegram_bot import Bot
logging.basicConfig(format='%(asctime)s %(levelname)s ... | 0.483405 | 0.095223 |
from . import Region
from index import db, es
from application.models import Area, CensusReport
from ..utils.converter import to_dict_from_model
from application.utils.esquery import EsqueryHelper
from application.utils.type import CENSUS_REPORT_TYPE_MSA
import json
class MsaRegion(Region):
area = None
def __... | application/region/msa.py | from . import Region
from index import db, es
from application.models import Area, CensusReport
from ..utils.converter import to_dict_from_model
from application.utils.esquery import EsqueryHelper
from application.utils.type import CENSUS_REPORT_TYPE_MSA
import json
class MsaRegion(Region):
area = None
def __... | 0.372277 | 0.220794 |
import math
import os
import unittest
from collections import OrderedDict
import ROOT
from PyAnalysisTools.PlottingUtils.PlotConfig import PlotConfig
import PyAnalysisTools.PlottingUtils.PlotConfig as pcm
from PyAnalysisTools.base import InvalidInputError
from PyAnalysisTools.base.ProcessConfig import ProcessConfig
fr... | tests/unit/TestPlotConfig.py | import math
import os
import unittest
from collections import OrderedDict
import ROOT
from PyAnalysisTools.PlottingUtils.PlotConfig import PlotConfig
import PyAnalysisTools.PlottingUtils.PlotConfig as pcm
from PyAnalysisTools.base import InvalidInputError
from PyAnalysisTools.base.ProcessConfig import ProcessConfig
fr... | 0.58439 | 0.431285 |
import numpy as np
from scipy import ndimage
from sHAM import nu_CWS
import gc
def find_index_first_dense(list_weights):
i = 0
for w in list_weights:
if len(w.shape)==2:
return i
i += 1
def idx_matrix_to_matrix(idx_matrix,centers):
return centers[idx_matrix.reshape(-1,1)].re... | sHAM_package/sHAM/nu_PWS.py | import numpy as np
from scipy import ndimage
from sHAM import nu_CWS
import gc
def find_index_first_dense(list_weights):
i = 0
for w in list_weights:
if len(w.shape)==2:
return i
i += 1
def idx_matrix_to_matrix(idx_matrix,centers):
return centers[idx_matrix.reshape(-1,1)].re... | 0.276593 | 0.361925 |
from __future__ import division, print_function
__author__ = "<NAME> <<EMAIL>>"
# Standard library
import os
import logging
import operator
from itertools import groupby
# Third-party
import numpy as np
from scipy import polyval, polyfit, optimize, integrate, c_
from scipy.special import wofz
__all__ = [
'gaus... | tellurics/ews.py | from __future__ import division, print_function
__author__ = "<NAME> <<EMAIL>>"
# Standard library
import os
import logging
import operator
from itertools import groupby
# Third-party
import numpy as np
from scipy import polyval, polyfit, optimize, integrate, c_
from scipy.special import wofz
__all__ = [
'gaus... | 0.87576 | 0.484502 |
from pathlib import Path
import json
from .utils import write_jsonfile, check_accessmode
class MetaData:
"""Dictionary-like access to disk based metadata.
If there is no metadata, the metadata file does not exist, rather than
being empty. This saves a block of disk space (potentially 4kb).
"""
... | darr/metadata.py | from pathlib import Path
import json
from .utils import write_jsonfile, check_accessmode
class MetaData:
"""Dictionary-like access to disk based metadata.
If there is no metadata, the metadata file does not exist, rather than
being empty. This saves a block of disk space (potentially 4kb).
"""
... | 0.797123 | 0.215598 |
import logging
from textwrap import dedent
from mccole.accounting import Info
from mccole.include import inclusion_to_html
def test_include_text_with_badly_formatted_spec(caplog):
info = Info(src="./page.md")
spec = ' whatever="a.txt" '
with caplog.at_level(logging.WARNING):
html = inclusion_to... | tests/test_include.py |
import logging
from textwrap import dedent
from mccole.accounting import Info
from mccole.include import inclusion_to_html
def test_include_text_with_badly_formatted_spec(caplog):
info = Info(src="./page.md")
spec = ' whatever="a.txt" '
with caplog.at_level(logging.WARNING):
html = inclusion_to... | 0.443118 | 0.349033 |
import os
from pyteomics import mzid, mzml
import pandas as pd
import numpy as np
import glob
"""
Identically as how we did with the training data set, we randomly divided the test files into different
folders, then we generated different data frames and stored all of them in one single hdf file as our
validation daat... | Deep learning/merge_validation_set.py | import os
from pyteomics import mzid, mzml
import pandas as pd
import numpy as np
import glob
"""
Identically as how we did with the training data set, we randomly divided the test files into different
folders, then we generated different data frames and stored all of them in one single hdf file as our
validation daat... | 0.156749 | 0.247919 |
from functools import partial
from scipy import stats
from nnweaver import *
from nnweaver.validation import *
def test_split_generator():
x = y = np.arange(0, 10, 1)
result = list(splits_generator(x, y, [4, 6]))
np.testing.assert_array_equal(result[1][0], [4, 5, 6, 7, 8, 9])
np.testing.assert_array... | test/validation_test.py | from functools import partial
from scipy import stats
from nnweaver import *
from nnweaver.validation import *
def test_split_generator():
x = y = np.arange(0, 10, 1)
result = list(splits_generator(x, y, [4, 6]))
np.testing.assert_array_equal(result[1][0], [4, 5, 6, 7, 8, 9])
np.testing.assert_array... | 0.84338 | 0.64653 |
import codecs
import orcid_api
from lxml import objectify
import pprint
import os.path
import time
from config import DATAPATH
token=''
def getToken():
global token
if token=='':
token = orcid_api.get_access_token(scope='/read-public', sandbox=False)
return token
def search_to_file(... | orcid-usage/search.py | import codecs
import orcid_api
from lxml import objectify
import pprint
import os.path
import time
from config import DATAPATH
token=''
def getToken():
global token
if token=='':
token = orcid_api.get_access_token(scope='/read-public', sandbox=False)
return token
def search_to_file(... | 0.084733 | 0.053157 |
import re
import sys
import logging
import jnpr.junos
# create logger for this script
LOGGER = logging.getLogger('netsvc.py')
LOGGER.setLevel(logging.DEBUG)
CH = logging.StreamHandler()
CH.setLevel(logging.DEBUG)
FORMATTER = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s',
... | juniper_official/Chassis/netsvc.py | import re
import sys
import logging
import jnpr.junos
# create logger for this script
LOGGER = logging.getLogger('netsvc.py')
LOGGER.setLevel(logging.DEBUG)
CH = logging.StreamHandler()
CH.setLevel(logging.DEBUG)
FORMATTER = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s',
... | 0.384565 | 0.083853 |
from runners.helpers import log
from runners.helpers import db
from runners.helpers.dbconfig import ROLE as SA_ROLE
from datetime import datetime
import requests
from urllib.error import HTTPError
from .utils import yaml_dump
PAGE_SIZE = 5
CONNECTION_OPTIONS = [
{
'name': 'api_token',
'title': ... | src/connectors/meraki_devices.py | from runners.helpers import log
from runners.helpers import db
from runners.helpers.dbconfig import ROLE as SA_ROLE
from datetime import datetime
import requests
from urllib.error import HTTPError
from .utils import yaml_dump
PAGE_SIZE = 5
CONNECTION_OPTIONS = [
{
'name': 'api_token',
'title': ... | 0.314682 | 0.088505 |
# Copyright (c) 2013 <NAME>
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, ... | lldb_quick_look.py |
# Copyright (c) 2013 <NAME>
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, ... | 0.588061 | 0.223007 |
import sys as _sys
from apodeixi.controllers.util.skeleton_controller import SkeletonController
from apodeixi.knowledge_base.tests_integration.post_update_skeleton import Post_and_Update_Skeleton
class Test_BasicPostingFlows(Post_an... | src/apodeixi/knowledge_base/tests_integration/test_basic_posting_flows.py | import sys as _sys
from apodeixi.controllers.util.skeleton_controller import SkeletonController
from apodeixi.knowledge_base.tests_integration.post_update_skeleton import Post_and_Update_Skeleton
class Test_BasicPostingFlows(Post_an... | 0.180395 | 0.17113 |
# $Id: Wb6Status.py 2934 2008-11-13 11:01:52Z graham.klyne $
"""
Module to handle and decode WebBrick status queries
"""
import xml.dom
import xml.dom.minidom
import WebBrickLibs.WbDefs as WbDefs
from WebBrickLibs.WbAccess import GetHTTPData
from MiscLib.DomHelpers import *
from MiscLib.Logging import Trace, ... | WebBrickLibs/WebBrickLibs/Wb6Status.py |
# $Id: Wb6Status.py 2934 2008-11-13 11:01:52Z graham.klyne $
"""
Module to handle and decode WebBrick status queries
"""
import xml.dom
import xml.dom.minidom
import WebBrickLibs.WbDefs as WbDefs
from WebBrickLibs.WbAccess import GetHTTPData
from MiscLib.DomHelpers import *
from MiscLib.Logging import Trace, ... | 0.482429 | 0.268456 |
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import cint, cstr
from frappe.model.document import Document
import json
class CustomerVisit(Document):
def onload(self):
for d in frappe.db.get_values(
"Customer",
self.customer,
... | salesman_visit_tracker/salesman_visit_tracker/doctype/customer_visit/customer_visit.py |
from __future__ import unicode_literals
import frappe
from frappe import _
from frappe.utils import cint, cstr
from frappe.model.document import Document
import json
class CustomerVisit(Document):
def onload(self):
for d in frappe.db.get_values(
"Customer",
self.customer,
... | 0.581897 | 0.17515 |
import matplotlib.pyplot as plt
import numpy as np
from scipy import ndimage as ndi
import cv2
import os
from skimage import data
from skimage.util import img_as_float
from skimage.filters import gabor_kernel
import utility_functions
from sklearn.metrics import accuracy_score, confusion_matrix, auc, roc_curve
image_na... | Solution3/Code/GaborFilterDistClassifier.py | import matplotlib.pyplot as plt
import numpy as np
from scipy import ndimage as ndi
import cv2
import os
from skimage import data
from skimage.util import img_as_float
from skimage.filters import gabor_kernel
import utility_functions
from sklearn.metrics import accuracy_score, confusion_matrix, auc, roc_curve
image_na... | 0.210279 | 0.360799 |
from os import system, name
from time import sleep
from datetime import date
from datetime import datetime
import numpy as np
import pandas as pd
custCatalog = []
custMultiplier = []
custTotal = 0
custCash = 0
def clear():
if name == 'nt':
_ = system('cls')
def inputCustomerCatalog():
openCata... | program.py | from os import system, name
from time import sleep
from datetime import date
from datetime import datetime
import numpy as np
import pandas as pd
custCatalog = []
custMultiplier = []
custTotal = 0
custCash = 0
def clear():
if name == 'nt':
_ = system('cls')
def inputCustomerCatalog():
openCata... | 0.096919 | 0.064979 |
from datetime import datetime
from django.db import migrations, models
import django.utils.timezone
def merge_article_date_and_time(apps, schema_editor):
Article = apps.get_model("news", "Article")
for article in Article.objects.all():
article.publication_time = datetime.combine(article.pub_date, art... | news/migrations/0017_use_datetime_instead_of_date_and_time.py | from datetime import datetime
from django.db import migrations, models
import django.utils.timezone
def merge_article_date_and_time(apps, schema_editor):
Article = apps.get_model("news", "Article")
for article in Article.objects.all():
article.publication_time = datetime.combine(article.pub_date, art... | 0.463201 | 0.162413 |
import os
os.environ['GLOG_minloglevel'] = '2' # Supressing caffe printouts of network initialisation
import caffe
import numpy as np
top_dir, tail = os.path.split(os.path.dirname(os.path.realpath(__file__)))
# Global dictionary containing class number : name pairs
CLASS_LIST = {0: "brick",
1: "car... | material_segmentation/minc_classify.py |
import os
os.environ['GLOG_minloglevel'] = '2' # Supressing caffe printouts of network initialisation
import caffe
import numpy as np
top_dir, tail = os.path.split(os.path.dirname(os.path.realpath(__file__)))
# Global dictionary containing class number : name pairs
CLASS_LIST = {0: "brick",
1: "car... | 0.53777 | 0.267641 |
import argparse
from dataclasses import dataclass
import logging
import os
import signal
import sys
import time
from typing import Dict
from rdr_service.services.daemon import Daemon
from rdr_service.services.gcp_config import RdrEnvironment
from rdr_service.services.gcp_utils import build_gcp_instance_connection_name... | rdr_service/services/gcp_db_daemon.py | import argparse
from dataclasses import dataclass
import logging
import os
import signal
import sys
import time
from typing import Dict
from rdr_service.services.daemon import Daemon
from rdr_service.services.gcp_config import RdrEnvironment
from rdr_service.services.gcp_utils import build_gcp_instance_connection_name... | 0.474388 | 0.106412 |
import numpy as np
import sys
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import shortest_path
import seaborn as sns
import matplotlib.pyplot as plt
sys.path.append("..")
import pyroc
import data
def main():
np.random.seed(17)
genes = data.mouse_common_genes()
go_sets = data.load_g... | 03_coexp_ppi/01_make_go_curves.py | import numpy as np
import sys
from scipy.sparse import csr_matrix
from scipy.sparse.csgraph import shortest_path
import seaborn as sns
import matplotlib.pyplot as plt
sys.path.append("..")
import pyroc
import data
def main():
np.random.seed(17)
genes = data.mouse_common_genes()
go_sets = data.load_g... | 0.364778 | 0.394551 |
from enum import Enum
from django.db import models
from bot.authorities import UserAuthority
# Create your models here.
class TaskImportance(Enum):
'''タスクの重要度'''
High = "高"
Middle = "中"
Low = "低"
def get_choices_from_enum(source_enum):
'''列挙体から選択肢を取得'''
return [(item.name, item.name) for ... | bot/models.py | from enum import Enum
from django.db import models
from bot.authorities import UserAuthority
# Create your models here.
class TaskImportance(Enum):
'''タスクの重要度'''
High = "高"
Middle = "中"
Low = "低"
def get_choices_from_enum(source_enum):
'''列挙体から選択肢を取得'''
return [(item.name, item.name) for ... | 0.388386 | 0.309428 |
import pytest
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
@pytest.fixture(scope="session")
def driver(request):
options = webdriver.ChromeOptions()
options... | task_9/task_9_1.py | import pytest
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
@pytest.fixture(scope="session")
def driver(request):
options = webdriver.ChromeOptions()
options... | 0.31321 | 0.131285 |
"""Celery tasks for geonode.services"""
import time
import logging
from hashlib import md5
from django.template.defaultfilters import slugify
from . import models
from . import enumerations
from .serviceprocessors import base, get_service_handler
from geonode.celery_app import app
from geonode.layers.models import L... | geonode/geonode/services/tasks.py | """Celery tasks for geonode.services"""
import time
import logging
from hashlib import md5
from django.template.defaultfilters import slugify
from . import models
from . import enumerations
from .serviceprocessors import base, get_service_handler
from geonode.celery_app import app
from geonode.layers.models import L... | 0.26569 | 0.080141 |
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('workflow', '0009_auto_20170307_0537'),
]
operations = [
migrations.AlterModelOptions(
name='contact',
options={'ordering': (... | workflow/migrations/0010_auto_20170315_0944.py | from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('workflow', '0009_auto_20170307_0537'),
]
operations = [
migrations.AlterModelOptions(
name='contact',
options={'ordering': (... | 0.642096 | 0.185357 |
from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404
from django.shortcuts import redirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from forms import TopicForm, PostForm
from models import Topic, Post
from tagging.mode... | forum/views.py | from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404
from django.shortcuts import redirect
from django.shortcuts import render_to_response
from django.template import RequestContext
from forms import TopicForm, PostForm
from models import Topic, Post
from tagging.mode... | 0.397938 | 0.07579 |
import time
from datetime import datetime
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.utils import timezone
from api.applications.models import CountryOnApplication
from api.audit_trail.models import Audit
from api.audit_trail.enums import AuditType
from api... | api/audit_trail/streams/service.py | import time
from datetime import datetime
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.utils import timezone
from api.applications.models import CountryOnApplication
from api.audit_trail.models import Audit
from api.audit_trail.enums import AuditType
from api... | 0.292797 | 0.209146 |
import pickle
import sys
from pathlib import Path
import numpy as np
import toml
file_name = Path(sys.argv[1])
uncert_cut = float(sys.argv[2])
snemo_version = int(sys.argv[3])
mass_index = snemo_version + 1
file_directory = Path.cwd()/file_name.parent
data = pickle.load(open(file_name, 'rb'))
print(data['n_sne'])... | rdr2019/cut_JLA.py | import pickle
import sys
from pathlib import Path
import numpy as np
import toml
file_name = Path(sys.argv[1])
uncert_cut = float(sys.argv[2])
snemo_version = int(sys.argv[3])
mass_index = snemo_version + 1
file_directory = Path.cwd()/file_name.parent
data = pickle.load(open(file_name, 'rb'))
print(data['n_sne'])... | 0.106284 | 0.209712 |
import unittest
from binaryaudit import util
class UtilTestSuite(unittest.TestCase):
def test_no_sn(self):
sn = ""
fn = "/some/path/to/myexe"
adir = "/hello/buildhistory/packages/cortexa57-poky-linux/somepkg/binaryaudit/abixml"
expected = "/hello/buildhistory/packages/cort... | tests/test_util.py | import unittest
from binaryaudit import util
class UtilTestSuite(unittest.TestCase):
def test_no_sn(self):
sn = ""
fn = "/some/path/to/myexe"
adir = "/hello/buildhistory/packages/cortexa57-poky-linux/somepkg/binaryaudit/abixml"
expected = "/hello/buildhistory/packages/cort... | 0.312895 | 0.216291 |
import sys
from typing import Optional
from xml.etree import ElementTree
import click
import yaml
from r2k.cli import cli_utils, logger
from r2k.config import config
from r2k.unicode import strip_common_unicode_chars
@click.command("import")
@cli_utils.config_path_option()
@click.argument("opml-path", required=True... | r2k/cli/feed/feed_import.py | import sys
from typing import Optional
from xml.etree import ElementTree
import click
import yaml
from r2k.cli import cli_utils, logger
from r2k.config import config
from r2k.unicode import strip_common_unicode_chars
@click.command("import")
@cli_utils.config_path_option()
@click.argument("opml-path", required=True... | 0.571408 | 0.176423 |
from enum import Enum
from typing import Callable
from typing import Dict
from typing import List
from typing import Tuple
from adventofcode_2020.utils import Coordinate
class Bearing(Enum):
NORTH: int = 0
WEST: int = 1
SOUTH: int = 2
EAST: int = 3
class Action(Enum):
NORTH: str = "N"
SOUTH... | src/adventofcode_2020/day_12.py | from enum import Enum
from typing import Callable
from typing import Dict
from typing import List
from typing import Tuple
from adventofcode_2020.utils import Coordinate
class Bearing(Enum):
NORTH: int = 0
WEST: int = 1
SOUTH: int = 2
EAST: int = 3
class Action(Enum):
NORTH: str = "N"
SOUTH... | 0.885179 | 0.552178 |
import numpy as np
from self_supervised.env_wrapper.pixel_wrapper import PixelNormalizedBoxEnvWrapper
def pixel_rollout(
env: PixelNormalizedBoxEnvWrapper,
agent,
max_path_length=np.inf,
render=False,
render_kwargs=None,
):
"""
The following value for the following keys... | diayn_seq_code_revised/data_collector/pixel_rollout.py | import numpy as np
from self_supervised.env_wrapper.pixel_wrapper import PixelNormalizedBoxEnvWrapper
def pixel_rollout(
env: PixelNormalizedBoxEnvWrapper,
agent,
max_path_length=np.inf,
render=False,
render_kwargs=None,
):
"""
The following value for the following keys... | 0.579162 | 0.323995 |
import numpy as np
class FeaturesExtractor:
def __init__(self):
self.__n_features = None
def features(self, patterns):
pass
def n_features(self):
return self.__n_features
def _set_n_features(self, n):
self.__n_features = n
class AllPeaksExtractor(FeaturesExtractor... | canon/pattern/feature_extractor.py | import numpy as np
class FeaturesExtractor:
def __init__(self):
self.__n_features = None
def features(self, patterns):
pass
def n_features(self):
return self.__n_features
def _set_n_features(self, n):
self.__n_features = n
class AllPeaksExtractor(FeaturesExtractor... | 0.797911 | 0.392046 |
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
from django.urls import reverse, reverse_lazy
fro... | expenses/views/expense.py | from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
from django.urls import reverse, reverse_lazy
fro... | 0.446012 | 0.117927 |
name = 'pokemon'
DATA = '''\
# names
Bulbasaur
Ivysaur
Venusaur
Charmander
Charmeleon
Charizard
Squirtle
Wartortle
Blastoise
Caterpie
Metapod
Butterfree
Weedle
Kakuna
Beedrill
Pidgey
Pidgeotto
Pidgeot
Rattata
Raticate
Spearow
Fearow
Ekans
Arbok
Pikachu
Raichu
Sandshrew
Sandslash
Nidoran_female
Nidorina
Nidoqueen
Nidora... | metasyntactic/themes/pokemon.py | name = 'pokemon'
DATA = '''\
# names
Bulbasaur
Ivysaur
Venusaur
Charmander
Charmeleon
Charizard
Squirtle
Wartortle
Blastoise
Caterpie
Metapod
Butterfree
Weedle
Kakuna
Beedrill
Pidgey
Pidgeotto
Pidgeot
Rattata
Raticate
Spearow
Fearow
Ekans
Arbok
Pikachu
Raichu
Sandshrew
Sandslash
Nidoran_female
Nidorina
Nidoqueen
Nidora... | 0.235372 | 0.140749 |
import tensorflow as tf
"""
随机数生成函数
"""
random_normal = tf.random_normal
"""
正态分布是具有两个参数μ和σ2的连续型随机变量的分布，第一参数μ是遵从正态分布的随机变量的均值，第二个参数σ2是此随机变量的方差，所以正态分布记作N(μ，σ2 )。 遵从正态分布的随机变量的概率规律为取μ邻近的值的概率大，而取离μ越远的值的概率越小；σ越小，分布越集中在μ附近，σ越大，分布越分散。
从正态分布中输出随机值。
参数:
shape: 一维的张量，也是输出的张量。
mean: 正态分布的均值。
stddev: 正态分布的标准差。
dty... | PYSTUDY/ml/tensorflowlib.py | import tensorflow as tf
"""
随机数生成函数
"""
random_normal = tf.random_normal
"""
正态分布是具有两个参数μ和σ2的连续型随机变量的分布，第一参数μ是遵从正态分布的随机变量的均值，第二个参数σ2是此随机变量的方差，所以正态分布记作N(μ，σ2 )。 遵从正态分布的随机变量的概率规律为取μ邻近的值的概率大，而取离μ越远的值的概率越小；σ越小，分布越集中在μ附近，σ越大，分布越分散。
从正态分布中输出随机值。
参数:
shape: 一维的张量，也是输出的张量。
mean: 正态分布的均值。
stddev: 正态分布的标准差。
dty... | 0.272315 | 0.50891 |
import os
import copy
import datetime
import warnings
from matplotlib import pyplot as plt
import matplotlib as mpl
import seaborn as sns
import pandas as pd
import numpy as np
import math
from datetime import datetime
import random
from sklearn.feature_extraction.text import TfidfVectorizer, CountVec... | code/nn_model/act_use_all_mlp.py | import os
import copy
import datetime
import warnings
from matplotlib import pyplot as plt
import matplotlib as mpl
import seaborn as sns
import pandas as pd
import numpy as np
import math
from datetime import datetime
import random
from sklearn.feature_extraction.text import TfidfVectorizer, CountVec... | 0.474144 | 0.137417 |
import os
import sys
import numpy as np
import scipy.io
import wfdb
from data import Subject
def __load_file(file_path: str, file_name: str) -> []:
"""
Args:
file_path: E.g path to the folder on the server
file_name: Name of the file
Returns: Array with raw time series data.
Descri... | src/data/physionet_challenge/load_data_physionet.py | import os
import sys
import numpy as np
import scipy.io
import wfdb
from data import Subject
def __load_file(file_path: str, file_name: str) -> []:
"""
Args:
file_path: E.g path to the folder on the server
file_name: Name of the file
Returns: Array with raw time series data.
Descri... | 0.585338 | 0.515437 |
from typing import Type, List, Tuple, Dict, Any
import pytest
from pydantic import BaseModel, ValidationError
from ensysmod.model import EnergyComponentType
from ensysmod.schemas.energy_storage import EnergyStorageCreate, EnergyStorageUpdate
schemas_with_discharge_rate_required: List[Tuple[Type[BaseModel], Dict[str,... | tests/validators/test_discharge_rate_validator.py | from typing import Type, List, Tuple, Dict, Any
import pytest
from pydantic import BaseModel, ValidationError
from ensysmod.model import EnergyComponentType
from ensysmod.schemas.energy_storage import EnergyStorageCreate, EnergyStorageUpdate
schemas_with_discharge_rate_required: List[Tuple[Type[BaseModel], Dict[str,... | 0.916004 | 0.534855 |
from unittest import skip
from mock import MagicMock, Mock
from test import *
from cosmos.rbac.service import *
from cosmos.dataservice.objectservice import *
class ObjectServiceTest(LoggedTestCase):
def _get_admin_role(self):
for role in WELL_KNOWN_ROLES:
if role.sid == ADMIN_USER_ROLE_SID... | test/dataservice/test_objectservice.py | from unittest import skip
from mock import MagicMock, Mock
from test import *
from cosmos.rbac.service import *
from cosmos.dataservice.objectservice import *
class ObjectServiceTest(LoggedTestCase):
def _get_admin_role(self):
for role in WELL_KNOWN_ROLES:
if role.sid == ADMIN_USER_ROLE_SID... | 0.61057 | 0.180413 |
import sys
import time
import os
# Manipulation + Draw + CLI
import numpy as np
import pygame
import pygame.gfxdraw
import fire
from tqdm import trange, tqdm
# Dev
from pprint import pprint as pp
# Default colors
COLOR_BLACK = (0, 0, 0)
# Pygame Constants
TIME_DELTA = 0.001
TIME_EVENT_ID = pygame.USEREVENT+1
WIDTH ... | prototypes/orbit/replay_simulation.py | import sys
import time
import os
# Manipulation + Draw + CLI
import numpy as np
import pygame
import pygame.gfxdraw
import fire
from tqdm import trange, tqdm
# Dev
from pprint import pprint as pp
# Default colors
COLOR_BLACK = (0, 0, 0)
# Pygame Constants
TIME_DELTA = 0.001
TIME_EVENT_ID = pygame.USEREVENT+1
WIDTH ... | 0.464416 | 0.292943 |
import numpy as np
from scipy.optimize import least_squares
def xyfit(data, calibration_data):
"""Return the fit of the voltage data and its parameters.
Args:
data: An array containing the position of the sample, the
amplitude of the voltage measured by the lock-in amplifier,
... | ac_susceptibility/xyfit.py | import numpy as np
from scipy.optimize import least_squares
def xyfit(data, calibration_data):
"""Return the fit of the voltage data and its parameters.
Args:
data: An array containing the position of the sample, the
amplitude of the voltage measured by the lock-in amplifier,
... | 0.933302 | 0.901097 |
"""TcEx Runtime App Test Case"""
import os
from six import string_types
from .test_case import TestCase
class TestCaseJob(TestCase):
"""App TestCase Class"""
_output_variables = None
redis_client = None
@staticmethod
def create_shelf_dir(shelf_path):
"""Create a directory in log with the... | tcex/testing/test_case_job.py | """TcEx Runtime App Test Case"""
import os
from six import string_types
from .test_case import TestCase
class TestCaseJob(TestCase):
"""App TestCase Class"""
_output_variables = None
redis_client = None
@staticmethod
def create_shelf_dir(shelf_path):
"""Create a directory in log with the... | 0.667256 | 0.212549 |
#Basic inetd server
import sys,struct,socket,traceback,json,os,Md5,logging,time
import Config
import Logger
__author__ = "<EMAIL>"
CHECKDIR = 0x0004
CHECKFILE = 0x0003
config = Config.getInstance()
BASEPATH = config.get('server', 'storagedir')
LOGFILE = config.get('server', 'log')
'''配置日志'''
config = Config.getInsta... | broom/Broomd.py |
#Basic inetd server
import sys,struct,socket,traceback,json,os,Md5,logging,time
import Config
import Logger
__author__ = "<EMAIL>"
CHECKDIR = 0x0004
CHECKFILE = 0x0003
config = Config.getInstance()
BASEPATH = config.get('server', 'storagedir')
LOGFILE = config.get('server', 'log')
'''配置日志'''
config = Config.getInsta... | 0.133458 | 0.065515 |
from pyfiglet import figlet_format
import random
fonts = ['1943____', '3-d', '3x5', '4x4_offr', '5lineoblique', '5x7', '5x8', '64f1____', '6x10', '6x9', 'acrobatic',
'advenger', 'alligator2', 'alligator', 'alphabet', 'aquaplan', 'arrows', 'asc_____', 'ascii___', 'assalt_m',
'asslt__m', 'atc_____', 'a... | asciiart.py | from pyfiglet import figlet_format
import random
fonts = ['1943____', '3-d', '3x5', '4x4_offr', '5lineoblique', '5x7', '5x8', '64f1____', '6x10', '6x9', 'acrobatic',
'advenger', 'alligator2', 'alligator', 'alphabet', 'aquaplan', 'arrows', 'asc_____', 'ascii___', 'assalt_m',
'asslt__m', 'atc_____', 'a... | 0.318379 | 0.287193 |
import numpy as np
import torch
from torch_utils import training_stats
from torch_utils import misc
import torch.distributed as dist
from torch_utils.ops import conv2d_gradfix
from einops import rearrange
import torch.nn as nn
import torch.nn.functional as F
def DiffAugment(x, policy='color,translation,cutout', ch... | src/training/diffaugment.py |
import numpy as np
import torch
from torch_utils import training_stats
from torch_utils import misc
import torch.distributed as dist
from torch_utils.ops import conv2d_gradfix
from einops import rearrange
import torch.nn as nn
import torch.nn.functional as F
def DiffAugment(x, policy='color,translation,cutout', ch... | 0.643777 | 0.662196 |
import base64
from datetime import datetime
from datetime import timedelta
import json
import re
from common import diff
from common.blame import Blame
from common.blame import Region
from common.cache_decorator import Cached
from common.change_log import ChangeLog
from common.change_log import FileChangeInfo
from co... | appengine/findit/common/git_repository.py |
import base64
from datetime import datetime
from datetime import timedelta
import json
import re
from common import diff
from common.blame import Blame
from common.blame import Region
from common.cache_decorator import Cached
from common.change_log import ChangeLog
from common.change_log import FileChangeInfo
from co... | 0.58522 | 0.147863 |
__author__ = 'huangjin'
import tornado.ioloop
import tornado.gen
import greenlet
import sys
class Watcher(object):
"""
这里传递过来的都是一些就绪的事件
watcher 用来替换 libev 中的 watcher
直接实例化一个 Watcher(fd, event) 对象，可以替换 greenify.pyx.wait_gevent 中的 hub.loop.io(fd, event)
"""
def __init__(self, fd, event):
... | tornado_adapter.py |
__author__ = 'huangjin'
import tornado.ioloop
import tornado.gen
import greenlet
import sys
class Watcher(object):
"""
这里传递过来的都是一些就绪的事件
watcher 用来替换 libev 中的 watcher
直接实例化一个 Watcher(fd, event) 对象，可以替换 greenify.pyx.wait_gevent 中的 hub.loop.io(fd, event)
"""
def __init__(self, fd, event):
... | 0.331228 | 0.182225 |
from __future__ import print_function
import gcode_cmd
import cnc_path
import cnc_routine
class SurfaceBase(cnc_routine.SafeZRoutine):
"""
Base class for surfacing routines.
"""
def __init__(self,param):
super(SurfaceRaster,self).__init__(param)
class SurfaceRasterXY(SurfaceBase):
"""
... | py2gcode/cnc_surface.py | from __future__ import print_function
import gcode_cmd
import cnc_path
import cnc_routine
class SurfaceBase(cnc_routine.SafeZRoutine):
"""
Base class for surfacing routines.
"""
def __init__(self,param):
super(SurfaceRaster,self).__init__(param)
class SurfaceRasterXY(SurfaceBase):
"""
... | 0.787032 | 0.377655 |
__author__ = "<NAME>"
import sys, urllib, scipy, pylab
import numpy as np
from urllib.request import urlopen
import matplotlib.pyplot as plot
from itertools import groupby
from collections import OrderedDict #Çok ilginç bir şekilde bunu yazmayınca "label types" listesini [R,M] yerine [M,R] şeklinde veriyor!!!
... | Extracting Data and A Little Statistic of the Data.py | __author__ = "<NAME>"
import sys, urllib, scipy, pylab
import numpy as np
from urllib.request import urlopen
import matplotlib.pyplot as plot
from itertools import groupby
from collections import OrderedDict #Çok ilginç bir şekilde bunu yazmayınca "label types" listesini [R,M] yerine [M,R] şeklinde veriyor!!!
... | 0.231527 | 0.228565 |
import utils
import functions as func
from commands.base import Cmd
help_text = [
[
("Usage:", "<PREFIX><COMMAND> `N`"),
("Description:",
"Set the default user limit for channels created by a particular primary channel, "
"without editing the primary channel itself.\n\n"
... | commands/defaultlimit.py | import utils
import functions as func
from commands.base import Cmd
help_text = [
[
("Usage:", "<PREFIX><COMMAND> `N`"),
("Description:",
"Set the default user limit for channels created by a particular primary channel, "
"without editing the primary channel itself.\n\n"
... | 0.46563 | 0.138928 |
import datetime
import falcon
from falcon import testing
import pytest
from aa.app import create_application
from aa.unit.info import *
@pytest.fixture()
def client():
return testing.TestClient(create_application())
def test_get_a_land_battle_template(client):
result = client.simulate_get('/land-battle')
... | aa/test_web_api.py | import datetime
import falcon
from falcon import testing
import pytest
from aa.app import create_application
from aa.unit.info import *
@pytest.fixture()
def client():
return testing.TestClient(create_application())
def test_get_a_land_battle_template(client):
result = client.simulate_get('/land-battle')
... | 0.560854 | 0.551453 |
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
class LookupProjectsResult:
"""
A collection of values returned by lookupProjects.
"""
def __init__(__self__, is_finance=None, name_regex=None, output_file=None, projects=None, tota... | sdk/python/pulumi_ucloud/lookup_projects.py |
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from . import utilities, tables
class LookupProjectsResult:
"""
A collection of values returned by lookupProjects.
"""
def __init__(__self__, is_finance=None, name_regex=None, output_file=None, projects=None, tota... | 0.749454 | 0.06663 |
import os
import random
import torch
import numpy as np
from faker import Faker
from loguru import logger
from transformers import GPT2LMHeadModel, GPT2Tokenizer
MODEL_NAME = os.environ.get('MODEL_NAME', 'gpt2')
if MODEL_NAME.lower() == 'gpt2':
logger.debug('***** Running basic GPT2 pretrained weights *****')
... | api/text_model.py | import os
import random
import torch
import numpy as np
from faker import Faker
from loguru import logger
from transformers import GPT2LMHeadModel, GPT2Tokenizer
MODEL_NAME = os.environ.get('MODEL_NAME', 'gpt2')
if MODEL_NAME.lower() == 'gpt2':
logger.debug('***** Running basic GPT2 pretrained weights *****')
... | 0.270673 | 0.125547 |
import random
import pytest
from datetime import datetime, timedelta, timezone
from laceworksdk.api.vulnerability import VulnerabilityAPI
# Build start/end times
current_time = datetime.now(timezone.utc)
start_time = current_time - timedelta(days=6)
start_time = start_time.strftime("%Y-%m-%dT%H:%M:%SZ")
end_time =... | tests/api/v1/test_vulnerability.py | import random
import pytest
from datetime import datetime, timedelta, timezone
from laceworksdk.api.vulnerability import VulnerabilityAPI
# Build start/end times
current_time = datetime.now(timezone.utc)
start_time = current_time - timedelta(days=6)
start_time = start_time.strftime("%Y-%m-%dT%H:%M:%SZ")
end_time =... | 0.417984 | 0.162513 |
from utils import get_key, get_quote, clean_db
from keepAlive import keep_alive
from replit import db
import datetime
import os
import discord
from dotenv import load_dotenv
load_dotenv()
client = discord.Client()
add_words = ['lose', 'victory']
def add_value(value):
key = get_key()
if key in db.keys():
... | bot/main.py | from utils import get_key, get_quote, clean_db
from keepAlive import keep_alive
from replit import db
import datetime
import os
import discord
from dotenv import load_dotenv
load_dotenv()
client = discord.Client()
add_words = ['lose', 'victory']
def add_value(value):
key = get_key()
if key in db.keys():
... | 0.168515 | 0.100613 |
import rospy
import socket
import select
from time import sleep
from sensor_msgs.msg import Joy
stembotConn = None
def joyCB(event):
surge = event.axes[4]
turn = event.axes[3]
heave = event.axes[1]
if abs(turn) < .05:
turn = 0
if abs(surge) < .05:
surge = 0
if abs(heave) < ... | src/stembot/scripts/stembot_driver.py |
import rospy
import socket
import select
from time import sleep
from sensor_msgs.msg import Joy
stembotConn = None
def joyCB(event):
surge = event.axes[4]
turn = event.axes[3]
heave = event.axes[1]
if abs(turn) < .05:
turn = 0
if abs(surge) < .05:
surge = 0
if abs(heave) < ... | 0.142918 | 0.156943 |
import subprocess
import urllib2
import json
import os.path
import sys
def req_url(q, start_index=1, max_results=50, order_by='published',
duration=None, v=2, alt='jsonc'):
url = "https://gdata.youtube.com/feeds/api/videos?q=%s" % q
if start_index:
url += "&start-index=%i" % start_index
... | death_extractor/youtube.py | import subprocess
import urllib2
import json
import os.path
import sys
def req_url(q, start_index=1, max_results=50, order_by='published',
duration=None, v=2, alt='jsonc'):
url = "https://gdata.youtube.com/feeds/api/videos?q=%s" % q
if start_index:
url += "&start-index=%i" % start_index
... | 0.152001 | 0.088033 |