id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
4806991 | import pdb
import logging
import sandy
__author__ = "<NAME>"
__all__ = [
"read_mf1",
"write_mf1",
]
allowed_mt = (
451,
452,
455,
456,
458,
)
mf = 1
def read_mf1(tape, mat, mt):
"""
Parse MAT/MF=3/MT section from `sandy.Endf6` object a... |
4807004 | import argparse
import dbus
import sync
import time
from azlyrics import Azlyrics
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(
'--sync', action='store_true',
help='Displays the lyrics line per line and sync')
return parser.parse_args()
def retrieve_spotify_m... |
4807029 | from trade_interface.market_session import market_session, next_session, market_session_extended_info, datetime_delay, current_time
from trade_interface.trade_interface import TradeInterface
from trade_interface.utils import format_order_action
|
4807030 | import sys
import math
sys.path.append('../src')
import numpy as np
import data_io, params, SIF_embedding
from scipy.spatial.distance import pdist
def Euclidean(vec1, vec2):
npvec1, npvec2 = np.array(vec1), np.array(vec2)
return math.sqrt(((npvec1-npvec2)**2).sum())
def cosine(vec1,vec2):
distance = pdist(n... |
4807044 | from datetime import datetime
from typing import Tuple
from sqlalchemy import Boolean, Column, String, BigInteger, Integer, DateTime, UniqueConstraint, ForeignKey
from sqlalchemy.orm import relationship
from .database import Base
from ..intergration.location.he_location_client import Location
class Chat(Base):
... |
4807059 | import onmt.Constants
import onmt.Models
from onmt.Translator import Translator
from onmt.Dataset import Dataset
from onmt.Optim import Optim
from onmt.Dict import Dict
|
4807063 | import uuid
class RekognitonClient(object):
def __init__(self, boto3_client):
self._boto3_client = boto3_client
def get_image_labels(self, bucket, key):
response = self._boto3_client.detect_labels(
Image={
'S3Object': {
'Bucket': bucket,
... |
4807115 | import os
import csv
import awstools
import datetime
from pprint import pprint
TIMEZERO = datetime.datetime(year=2005,month=1,day=18)
def StringToDate(s):
return datetime.datetime.strptime(s,"%Y-%m-%d %X")
def lambda_handler(event,context):
os.chdir('/tmp')
TOTAL_SUBMISSIONS = 0
SKIPPED = 0
PROCESSED_SUBMIS... |
4807158 | import unittest
from dataclasses import dataclass
from huggingmolecules.configuration.configuration_api import PretrainedConfigMixin
from tests.configuration.configuration_base import ConfigurationApiTestBase
MOCKED_CONFIG_ARCH = {}
@dataclass
class MockedConfig(PretrainedConfigMixin):
int_val: int = 10
flo... |
4807159 | from .filelink import Filelink
from .client import Client
from .transformation import Transformation
from .security import Security
from .audiovisual import AudioVisual
|
4807161 | from . import common
from qiime2 import Artifact
import matplotlib.pyplot as plt
import pandas as pd
from skbio.stats.ordination import OrdinationResults
def beta_parallel_plot(
artifact, hue=None, hue_order=None, metadata=None, count=5,
ax=None, figsize=None
):
"""
Create a parallel plot from PCoA r... |
4807179 | import time
import numpy.random as npr
from hypergrad.odyssey import omap
objects = [1, (3,4), 1.04, "hello", "it's \n a hard string \\\''\to parse", ((1,'a'), 3)]
def identity(x):
time.sleep(npr.randint(5))
print x
return x
def check_omap():
# This won't work with nosetest. Needs to be run from the ... |
4807189 | from p5 import *
def setup():
size(360, 360)
no_loop()
def draw():
circle((165, 200), 198)
run()
|
4807219 | import numpy as np
import cv2
import scipy.io as sio
# Make sure that caffe is on the python path:
caffe_root = '../../' # this file is expected to be in {caffe_root}/sfd_test_code
import os
os.chdir(caffe_root)
import sys
sys.path.insert(0, 'python')
import caffe
def detect_face(net, image, shrink):
if shrink... |
4807255 | import os
import json
import random
import numpy as np
import spacy
import pickle
# from
from collections import Counter
from tqdm import tqdm
nlp = spacy.blank("en")
def word_tokenize(sent):
doc = nlp(sent)
return [token.text for token in doc]
def convert_idx(text, tokens):
current = 0
spans = []... |
4807274 | from lib.Research import Research
from pactman import Consumer, Provider
import unittest
pact = Consumer('UseCaseMetadataResearch').has_pact_with(
Provider('PortMetadata'), port=3000)
testing_address = "localhost:3000"
class Test_Research(unittest.TestCase):
def test_research_init_researchId(self):
... |
4807284 | import re
import math
import logging
import datetime
import pysolr
from urllib.parse import urlencode, unquote
from django import urls
from django.core.paginator import Paginator, Page
from django.db import connection, reset_queries
from django.http import QueryDict
from django.conf import settings
from core import m... |
4807297 | import os
import numpy as np
import pandas as pd
from tqdm import tqdm as tqdmn
from time import time
import multiprocessing
from joblib import Parallel, delayed
import csv
import geopandas as gpd
import sys
import argparse
import pickle
from sklearn.metrics import confusion_matrix, classification_report
from skimage ... |
4807306 | from flask import g as flaskg, session
from uchan.lib.exceptions import ArgumentError
from uchan.lib.model import ModeratorModel
from uchan.lib.service import moderator_service
"""
Helper methods for managing the moderator attached to the session
"""
def get_authed():
return 'mod_auth_id' in session
def reque... |
4807310 | from jsonobject import JsonObject, StringProperty
class HstsResult(JsonObject):
header = StringProperty()
scanned = StringProperty()
|
4807322 | import wrapt
def wrapper(wrapped, instance, args, kwargs):
"""
wrap all Lambda invocations and prints a log before calling it.
"""
request_handler = args[0]
def _wrapper(event, context):
print 'This is a log'
return request_handler(event, context)
return wrapped(_wrapper, *args... |
4807331 | import matplotlib.pyplot as plt
def plot_roc_curve(roc_auc, fpr, tpr):
# Function to plot ROC Curve
# Inputs:
# roc_auc - AU ROC value (float)
# fpr - false positive rate (output of roc_curve()) array
# tpr - true positive rate (output of roc_curve()) array
plt.figure(figsize=(8,6)... |
4807358 | from torch.utils.data import DataLoader, Dataset, Sampler
from pathlib import Path
from collections import defaultdict
import json
import random
from multiprocessing import Pool
import h5py
import pickle
import math
from tqdm import tqdm
import torch
import numpy as np
from copy import deepcopy
import re
import glob
f... |
4807408 | from django.test import TestCase
from django.test.client import Client
try:
import json
except:
from django.utils import simplejson as json
from MacroExpansion import MacroExpansion
from KeyValueTree import KeyValueTree
from truth.models import Truth, KeyValue as TruthKeyValue
class TestMacroExpansion(TestCas... |
4807495 | import numpy as np
import re
from collections import deque
from twitch import TwitchChatStream
import random
import time
import exrex
import copy
EXREX_REGEX_ONE = ("(@__username__: (Wow|Amazing|Fascinating|Incredible|Marvelous|Wonderful|AAAAAah|OMG)\. __WORD__, that's (deep|wild|trippy|dope|weird|spacy), (man|dude|b... |
4807503 | import ngsutils.bam
import ngsutils.bam.export
import ngsutils.bam.basecall
import ngsutils.bed
import StringIO
import collections
PileupRecords = collections.namedtuple('PileupRecord', 'tid pos n pileups')
PileupRead = collections.namedtuple('PileupRecord', 'alignment indel is_del is_head is_tail level qpos')
def a... |
4807506 | from ._registry import DATALOADERS
from torch.utils.data import DataLoader
@DATALOADERS.register
class DataListLoader(DataLoader):
r"""Data loader which merges data objects from a
:class:`torch_geometric.data.dataset` to a python list.
.. note::
This data loader should be used for multi-gpu suppo... |
4807517 | import os
import SocketServer
import SimpleHTTPServer
from .building import build
def preview(directory=None, host=None, port=None, watch=True):
"""Runs a local server to preview the working directory of a repository."""
directory = directory or '.'
host = host or '127.0.0.1'
port = port or 5000
... |
4807548 | from datetime import timedelta
from sys import exit
from time import time
from .. import db
BOOT_TIME = time()
OWNER = "superbootwitch"
def help(bot, prefix, cmds):
bot.send_message(f"Registered commands: "
+ ", ".join([f"{prefix}{cmd.callables[0]}" for cmd in sorted(cmds, key=lambda cmd: cmd.callables[0])]))
... |
4807591 | import os.path
import sys
import subprocess
from collections import namedtuple
import re
import exceptions
from lxml import etree
def assertEquals(expected, actual, what=None, msg=None):
if msg is None and what is None:
msg = "Expected %r, got %r instead" % (expected, actual)
elif msg is None:
... |
4807609 | import argparse
from multiprocessing import Pool
from pathlib import Path
from PIL import Image
import argparse
import shutil
import errno
import time
import uuid
import json
import glob
import cv2
import os
class CraftParser(object):
"""
python3 craft_label_parser.py -i ../dataset/raw -o ../dataset/outpu... |
4807631 | import kindred
def test_sentence_noDependencyInfo(capfd):
text = 'mutations cause dangerous cancer'
tokens = [ kindred.Token(w,None,None,0,0) for w in text.split() ]
s = kindred.Sentence(text,tokens,dependencies=[])
nodes,edges = s.extractMinSubgraphContainingNodes([0,2])
out, err = capfd.readouterr()
assert e... |
4807632 | import torch
import torch.nn as nn
import torch.nn.functional as F
from .resnet import ResidualBlock1D, ResidualBlock2D
from .se import SEBlock
class Conv2d(nn.Module):
def __init__(self, in_channels, out_channels, kernel_size, stride=1, relu=True, same_padding=False, bn=False):
super(Conv2d, self).__init_... |
4807634 | import logging
import os
import subprocess
import time
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from .dcgm_monitor import dcgm_monitor_start, dcgm_monitor_stop, DcgmMonitor
from .tpu_monitor import tpu_monitor_start, tpu_monitor_stop, TpuMonitor
from .plan import find_max_B, expovaria... |
4807664 | import os
import pickle
import re
import urllib.request
import zipfile
from datetime import timedelta, datetime, date
import pandas as pd
from matilda import config
def resample_df(df: pd.DataFrame):
# infer frequency
test_0, test_1 = df.index[:2] # take two consecutive elements
delta = (test_1 - test_0)... |
4807671 | from rlscore.learner import GlobalRankRLS
from rlscore.measure import cindex
from housing_data import load_housing
def train_rls():
#Trains RLS with default parameters (regparam=1.0, kernel='LinearKernel')
X_train, Y_train, X_test, Y_test = load_housing()
learner = GlobalRankRLS(X_train, Y_train)
#Te... |
4807722 | from __future__ import annotations
from abc import abstractmethod
from typing import Callable
from .....fable_library.option import Option
class Event:
@property
@abstractmethod
def x(self) -> int:
...
@property
@abstractmethod
def y(self) -> int:
...
... |
4807748 | from __future__ import division, unicode_literals, absolute_import
try:
from PIL import Image, ImageFilter, ImageMath
except ImportError: # pragma: no cover
raise ImportError("Pillow is not installed. "
"Please install latest Pillow or Pillow-SIMD package.")
if not hasattr(ImageFilter, ... |
4807761 | from ok_api import OkApi, Upload
def main():
"""
Пример загрузки фотографий с помощтю модуля Upload и завершения
загрузки методом photosV2.commit (https://apiok.ru/dev/methods/rest/photosV2/photosV2.commit)
"""
ok = OkApi(access_token='OK_ACCESS_TOKEN',
application_key='OK_APP_PUBL... |
4807836 | import glob
import os
import subprocess
import sys
if len(sys.argv) != 3:
print("Usage: GenForwarders.py <vs_folder> <vc_version_to_generate>")
print("Last version generated 14.21.27702")
exit()
VSFolder = sys.argv[1]
VCVersion = sys.argv[2]
archs = ["x86", "x64", "arm64"]
importLibMapping = {
"... |
4807848 | from typing import Optional, Sequence, Union
import numpy as np
from mygrad.nnet.layers.utils import sliding_window_view
from mygrad.operation_base import Operation
from mygrad.tensor_base import Tensor
__all__ = ["Repeat"]
class Repeat(Operation):
# Repeat can broadcast in the case:
# repeat(1, 2) -> [... |
4807871 | import math
from text_map import *
'''Game settings'''
FPS = 200
SIZE = WIDTH, HEIGHT = (1280, 768)
RES = RES_W, RES_H = 320, 192
h_RES_W, h_RES_H = RES_W // 2, RES_H // 2
h_WIDTH = WIDTH // 2
h_HEIGHT = HEIGHT // 2
'''Mouse'''
shift_coeff = WIDTH - 200
'''Tile settings'''
# tile_size = 64
tile_size = 128
# tile_siz... |
4807888 | import logging
from django.contrib.admin.views.decorators import staff_member_required
from django.contrib.admin import ModelAdmin
from django.contrib.auth.admin import csrf_protect_m
from django.core.exceptions import PermissionDenied
from django.db.models import Count
from django.http import HttpResponseBadRequest, ... |
4808057 | import string
from datetime import date
from django.test import TestCase
from bc211.import_open_referral_csv.inactive_records_collector import InactiveRecordsCollector
from bc211.import_icarol_xml.import_counters import ImportCounters
from bc211.import_open_referral_csv.organization import import_organization
from bc21... |
4808067 | from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
from django.urls import (
include, path
)
from django.views.generic import TemplateView
from rakmai.views import HomeView
urlpatterns = [
path('',
HomeView.as_view(), name='home'),
path('... |
4808087 | import subprocess
import shutil
from time import sleep
from unittest import TestCase
from dusty.commands.upgrade import _test_dusty_binary
from dusty import constants
from ..testcases import DustyIntegrationTestCase
class TestUpgrade(DustyIntegrationTestCase):
def tearDown(self):
super(TestUpgrade, self... |
4808176 | from inference import *
from header import *
from .utils import *
'''response strategy:
Read the candidate embeddings and save it into the faiss index
'''
def da_strategy(args):
contexts, responses, results = [], [], []
for i in tqdm(range(args['nums'])):
c, r, re = torch.load(
f'{args["ro... |
4808214 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.parameter import Parameter
class PositionwiseNN(nn.Module):
def __init__(self, idim, hdim, dropout=None):
super(PositionwiseNN, self).__init__()
self.w_0 = nn.Conv1d(idim, hdim, 1)
self.w_1 = nn.Conv1d(hdim, h... |
4808230 | import unittest
class TestSteps(unittest.TestCase):
def test_steps(self):
steps = Steps()
self.assertRaises(TypeError, steps.count_ways, None)
self.assertRaises(TypeError, steps.count_ways, -1)
self.assertEqual(steps.count_ways(0), 1)
self.assertEqual(steps.count_ways(1), ... |
4808252 | import unittest
from binstar_client.utils.notebook import inflection
class InflectorsTestCase(unittest.TestCase):
def test_one_directory(self):
self.assertEqual(inflection.parameterize(u"<NAME>"), 'donald-e-knuth')
if __name__ == '__main__':
unittest.main()
|
4808254 | import numpy as np
from scanorama import *
from scipy.sparse import vstack
from scipy.stats import mannwhitneyu
from benchmark import write_table
from process import load_names, merge_datasets, process
from time_align import time_align_correlate, time_align_visualize, time_dist
NAMESPACE = 'mono_macro'
data_names = ... |
4808270 | from rest_framework.throttling import AnonRateThrottle, UserRateThrottle
class BurstRateThrottleUser(UserRateThrottle):
scope = "burstuser"
class SustainedRateThrottleUser(UserRateThrottle):
scope = "sustaineduser"
class BurstRateThrottleAnon(AnonRateThrottle):
scope = "burstanon"
class SustainedRat... |
4808340 | from collections import namedtuple
Color = namedtuple("Color", ["RED", "BLUE", "CYAN", "GREEN", "YELLOW", "GRAY", "BOLD", "RESET"])
COLOR = Color(
"\033[1;31m", # red
"\033[1;34m", # blue
"\033[1;36m", # cyan
"\033[1;32m", # green
"\033[93m", # yellow
"\033[1;30m", # gray
"\033[;1m"... |
4808358 | import logging
import re
from pygments import highlight
from pygments.lexers import SqlLexer
from pygments.formatters import HtmlFormatter
import sqlparse
logger = logging.getLogger("zentral.utils.sql")
# monkey patch sqlparse to have file, path and last not considered as keywords
try:
from sqlparse.keywords im... |
4808363 | from . import controlledobservable
from . import controlledsubject
from . import pausable
from . import pausablebuffered
from . import stopandwait
from . import windowed
from . import windowedobservable
|
4808366 | import subprocess
import os
import cykhash
dir_name = os.path.dirname(cykhash.__file__)
print("Cykhash installation/doctests search path is:", dir_name)
args = ["--doctest-glob=*.pyx",
"--doctest-glob=*.pxi",
"-vv",
"--doctest-continue-on-failure",
]
command=["pytest"]+args+[dir_name]
sub... |
4808423 | from fireo.fields import TextField, NumberField
from fireo.models import Model
from fireo.utils import utils
class FilterUpdateParent(Model):
name = TextField()
class FilterUpdateChild(Model):
name = TextField()
age = NumberField()
def test_parent_filter_update():
p = FilterUpdateParent.collection... |
4808437 | from keras.layers import Conv2D, MaxPooling2D, Concatenate, Add
from keras import layers
from keras import backend as K
K.set_image_data_format('channels_last')
import sys
import os
sys.path.append(os.path.abspath('../'))
from models import caps_layers
from models.caps_layers import BilinearUpsampling
from experiment... |
4808484 | from eztao.carma.CARMATerm import *
from eztao.carma.CARMATerm import fcoeffs2coeffs
import numpy as np
from numpy.polynomial import polynomial as P
import pytest
# def test_0():
# assert 0 == 0
def test_drw():
term = DRW_term(np.log(0.35), np.log(100))
# test celerite term coeffs
celerite_coeffs = ... |
4808518 | import os
import inspect
import notebook
class Utils(object):
@classmethod
def get_notebook_module_dir(cls):
"""
Returns path to jupter notebook module.
"""
return os.path.dirname(inspect.getfile(notebook))
@classmethod
def get_module_dir(cls):
"""
Returns path to hide_code module.
"""
return os.... |
4808703 | import yaml
from argparse import ArgumentParser
import random
import torch
from torch.utils.data import DataLoader
import torch.multiprocessing as mp
from torch.nn.parallel import DistributedDataParallel as DDP
from train_utils import Adam
from train_utils.datasets import NSLoader
from train_utils.data_utils import da... |
4808777 | import time
from irods_capability_automated_ingest.core import Core
from irods_capability_automated_ingest.utils import Operation
class event_handler(Core):
@staticmethod
def operation(session, meta, **options):
return Operation.NO_OP
@staticmethod
def timeout(hdlr_mod, logger, meta):
... |
4808803 | import commands
import datetime
import json
import logging
import math
import os
import shutil
import sys
import time
import traceback
import threading
import pickle
import signal
from os.path import abspath as _abspath, join as _join
# logging.basicConfig(filename='Yoda.log', level=logging.DEBUG)
import Interaction,... |
4808830 | import yaml
from hypothesis import given, strategies as st
from hypothesis import provisional
from amqtt.session import Session
from amqtt import utils
@given(st.text())
def test_format_client_message(client_id):
test_session = Session()
test_session.client_id = client_id
client_message = utils.format_cl... |
4808834 | from ufl.corealg.traversal import traverse_unique_terminals
from xii.assembler.ufl_utils import *
import dolfin as df
import ufl
def extension_cell(o):
'''
UFL cell corresponding to extension of o[cell] to facets(triangles)
in 3d or lines in (2d)
'''
# Space
if hasattr(o, 'ufl_cell'):
... |
4808899 | from collections import namedtuple
from unittest import TestCase, mock
from kfk.config import _get_processor_type
def os_uname_mock(p_name_machine):
OSUname = namedtuple("OSUname", ["machine"])
return OSUname(machine=p_name_machine)
class TestKfkConfig(TestCase):
@mock.patch('kfk.config._is_64_bit')
... |
4808920 | import queue
import threading
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.metrics.learner_info import LearnerInfoBuilder
from ray.rllib.utils.metrics.window_stat import WindowStat
from ray.rllib.utils.timer import TimerStat
LEARNER_QUEUE_MAX_SIZE = 16
tf1, tf, tfv = try_import_tf()
cla... |
4808931 | import unittest
from datetime import datetime
from xbrr.edinet.client.document_list_client import MetaDataClient
from xbrr.edinet.client.document_list_client import DocumentListClient
from tests.utils import delay
class TestDocumentListClient(unittest.TestCase):
@delay
def test_metadata(self):
client... |
4808969 | import unittest
from lxml import etree
from soapfish import xsd
from soapfish.py2xsd import generate_xsd
class py2xsdTest(unittest.TestCase):
def test_can_generate_schema_xml_containing_types_with_pattern_restriction(self):
ns = 'http://soap.example/pattern.xsd'
class Container(xsd.ComplexType)... |
4808973 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import norm, t
from scipy.optimize import minimize
def pseudo_obs(data):
"""
take dataframe as argument and returns
Pseudo-observations from real data X
"""
pseudo_obs = data
for i in range(len(dat... |
4808987 | from django.conf import settings as django_settings
from peering.models import AutonomousSystem
from peeringdb.sync import PeeringDB
def affiliated_autonomous_systems(request):
if request.user.is_authenticated:
try:
context_as = AutonomousSystem.objects.get(
pk=request.user.pr... |
4809066 | import base64
import json
import urllib2
import re
import logging
from github import Github, BadCredentialsException, UnknownObjectException
from github.NamedUser import NamedUser
from django.utils.translation import ugettext as _
from django.conf import settings
from ide.models.user import UserGithub
logger = loggi... |
4809074 | import torch
from collections import OrderedDict
_optimizers_dict = OrderedDict({
'adam': (torch.optim.Adam, {'lr': 1e-3}),
'rmsprop': (torch.optim.RMSprop, {'lr': 1e-3}),
'sgd': (torch.optim.SGD, {'lr': 1e-2, 'momentum': 0.9})
})
def _create_optimizer(i, model_parameters):
if isinstance(i, str):
... |
4809090 | from django.db import models
from django.contrib.auth import get_user_model
from PIL import Image
from django_resized import ResizedImageField
User = get_user_model()
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, related_name='profile')
image = ResizedImageField(siz... |
4809094 | import tornado.ioloop
import tornado.web
from tornado.gen import coroutine
from tornado_swirl import api_routes
from tornado_swirl.swagger import Application, describe, restapi, schema, add_global_tag, add_security_scheme
from tornado_swirl.openapi import security
describe(title='Test API', description='Just things ... |
4809110 | import numpy as np
import rasterio
from rasterio import Affine
from rasterio.warp import reproject, Resampling
import types
import tqdm
from rasterio.windows import Window
from rasterio.coords import BoundingBox
import shapely
import pyproj
from functools import partial
from spacenetutilities import geoTools as gT
de... |
4809119 | from flask import Flask, escape, request
import requests
import datetime
from dateutil import parser
application = Flask(__name__)
@application.route('/has_peers')
def peer_checker():
try:
r = requests.get('http://127.0.0.1:8732/network/peers')
except requests.exceptions.RequestException as e:
... |
4809144 | from time import time
from uuid import uuid4, UUID
from dirtyfields import DirtyFieldsMixin
from django.db import models, IntegrityError
from modelcluster.models import ClusterableModel
from apps.utils.noid import encode_noid
class IiifBase(DirtyFieldsMixin, ClusterableModel):
id = models.UUIDField(primary_key=Tru... |
4809156 | import time
from collections import defaultdict
import torch
import math
from transformers import AutoTokenizer, GPT2LMHeadModel, GPT2Tokenizer
loss_fct = torch.nn.CrossEntropyLoss(reduction='none',ignore_index=0)
model = GPT2LMHeadModel.from_pretrained('gpt2').cuda()
model.eval()
tokenizer = GPT2Tokenizer.from_pretra... |
4809162 | from pelican import generators
import re
import unicodedata
import main
import os
class FlickrGenerator(generators.Generator):
template_set = "flickr_set.html"
template_photo = "flickr_photo.html"
def __init__(self, context, settings, path, theme, output_path, **kwargs):
# Add our templates dir ... |
4809164 | from PIL import Image, ImageDraw, ImageFont
def add_num(num, fill, font_name):
im = Image.open('in.jpg')
xsize , ysize = im.size
draw = ImageDraw.Draw(im)
text = str(num)
font = ImageFont.truetype(font_name, xsize//3)
draw.text((ysize//5 * 4, 0), text, fill, font)
im.save("out.jpg")
num = ... |
4809167 | import pandas as pd
from hamilton.function_modifiers import extract_columns
@extract_columns('col_1', 'col_2')
def generate_df() -> pd.DataFrame:
"""Function that should be parametrized to form multiple functions"""
return pd.DataFrame({
'col_1': [1, 2, 3],
'col_2': [4, 5, 6]})
|
4809169 | import torch
from torch import nn
from torch.nn.modules.loss import _Loss
from super_gradients.training.utils.detection_utils import build_detection_targets, calculate_bbox_iou_elementwise
class YoLoV3DetectionLoss(_Loss):
"""
YoLoV3DetectionLoss - Loss Class for Object Detection
"""
def __init__(se... |
4809193 | import argparse
import importlib
import os
import subprocess
import time
from doctr.travis import run_command_hiding_token as doctr_run
from . import sensitive_env
from .utils import load_graph
BUILD_URL_KEY = "CIRCLE_BUILD_URL"
INT_SCRIPT_DICT = {
0: {"module": "all_feedstocks", "func": "main"},
1: {"modul... |
4809207 | from .server import SpeechServicer
from .speech_pb2_grpc import add_SpeechServicer_to_server, SpeechStub
from .speech_pb2 import (RecognitionConfig, RecognitionAudio, RecognizeRequest, RecognizeResponse,
SpeechRecognitionResult, SpeechRecognitionAlternative, WordInfo, StreamingRecognizeRequest,... |
4809231 | import sys
import csv
import codecs
def convert(inputFile,outputFile):
"""
Convert a RPT file to a properly escaped CSV file
RPT files are usually sourced from old versions of Microsoft SQL Server Management Studio
RPT files are fixed width with column names on the first line, a second line with dashes and space... |
4809234 | import tensorflow as tf
import numpy as np
import platform
use_xla = 'Windows' in platform.system()
import time
from types import SimpleNamespace
from utils.nerf_utils import *
from utils.projection_utils import *
from utils.sampling_utils import *
from utils.temporal_utils import *
from utils.tof_utils import *
from... |
4809271 | from nesta.core.orms.orm_utils import db_session
from nesta.core.orms.orm_utils import get_mysql_engine
from nesta.core.orms.mag_orm import FieldOfStudy as FoS
from more_itertools import unique_everseen
from collections import defaultdict
import json
class _UniqueList(list):
"""List with insert-ordered unique ent... |
4809315 | from pathlib import Path
PACK_DIR = Path(__file__).resolve().parent
def get_msdsl_header():
return PACK_DIR / 'msdsl.sv' |
4809382 | from django.apps import AppConfig
class ConfirmationBlocksConfig(AppConfig):
name = 'v1.confirmation_blocks'
|
4809387 | from glob import glob
names = glob("*.py")
names.remove("lineCount.py")
count = 0
comments = 0
total = 0
for n in names:
f = open(n)
content = f.read()
count += int(content.count("\n"))
comments += int(content.count("#"))
total += len(content)
f.close()
print("Line count:",count)
print("Without comments:",... |
4809409 | from collections import OrderedDict
from .errors import ProtocolError
# TODO (misc) We can add helpful error messages on which part the parsing failed, should we do that ?
# TODO (misc) Should we make ProtocolError the catch all chain ?
# TODO (misc) There is allot of code duplication here, we can merge most of it.
... |
4809415 | import numpy as np
from distancematrix.generator.znorm_euclidean import ZNormEuclidean
import time
def find_variable_length_motifs(series, min_motif_length, max_motif_length, cache_size=3, noise_std=0.):
"""
Finds the top motif for each subsequence length in the given range. The top motif is defined as the
... |
4809431 | import os
import textwrap
from dvc.main import main
def test_cache_dir_local(tmp_dir, dvc, capsys, caplog):
(tmp_dir / ".dvc" / "config.local").write_text(
textwrap.dedent(
"""\
[cache]
dir = some/path
"""
)
)
path = os.path.join(dvc.dvc... |
4809475 | import unittest
from uwallet.hashing import *
from uwallet.util import *
from uwallet.blockchain import ArithUint256
def _serialize_header(block):
s = int_to_hex(block.get('version'), 4) \
+ rev_hex(block.get("prev_block_hash")) \
+ rev_hex(block.get('merkle_root')) \
+ rev_hex(block.get('c... |
4809485 | import time
from typing import List
import numpy as np
from pbrl.algorithms.ppo.policy import Policy
class MultiPolicyRunner:
def __init__(
self,
env,
policy_num,
episode_num,
render=None
):
self.env = env
self.env_num = env.env_num
... |
4809505 | import os
import time
import logging
from operator import mul
from functools import reduce
import numpy as np
import tensorflow as tf
slim = tf.contrib.slim
import ops
import utils
import model
from losses import LOSSES_COLLECTION
class Trainer(object):
def __init__(self, filename, config):
"""
:... |
4809538 | import unittest
from meraki_cli.__main__ import _translate_input
INPUT = [
{
'changeme': '100',
'leavemealone': '101'
},
{
'changeme': '200',
'leavemealone': '201'
},
]
OUTPUT = [
{
'changed': '100',
'leavemealone': '101'
},
{
'chang... |
4809554 | from collections import defaultdict
from django.core.management.base import BaseCommand
from corehq.apps.userreports.models import (
DataSourceConfiguration,
StaticDataSourceConfiguration,
)
from corehq.apps.userreports.util import (
LEGACY_UCR_TABLE_PREFIX,
UCR_TABLE_PREFIX,
get_table_name,
)
fro... |
4809586 | import socket
import time
from threading import Thread
def make_request():
start_time = time.time()
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.connect(('localhost', 8000))
sock.send(b'GET /\n\n')
resp = sock.recv(100)
sock.close()
end_time = time.time()
print(time.str... |
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