id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
9823159 | from oauth2client.file import Storage
from os import path
from googleapiclient.discovery import build
import httplib2
DIR_NAME = path.dirname(path.abspath(__file__))
CODE_FILE = path.join(DIR_NAME, "code")
storage = Storage(path.join(DIR_NAME, "credentials"))
credentials = storage.get()
if credentials and credentials.... |
9823170 | from html4vision import Col, imagetable
cols = [
Col('img', 'Image', 'images/sketch_img_*'),
Col('img', 'Sketch 1', 'images/sketch_*_1.svg'),
Col('img', 'Sketch 2', 'images/sketch_*_2.svg'),
Col('img', 'Sketch 3', 'images/sketch_*_3.svg',
None, 'background: #e9f9fe'), # set background to light ... |
9823172 | class Optimizer(object):
def __init__(self, config):
self.config = config
self.converged = None
self.max_step_reached = None
def reset(self):
self.converged = False
self.max_step_reached = False
def step(self, annotation_holder, aggregator, learner, imagenet... |
9823189 | import numpy as np
import torch
def compute_iou(occ1, occ2, weights=None, average=True):
"""Compute the intersection over union (IoU) for two sets of occupancy
values.
Arguments:
----------
occ1: Tensor of size BxN containing the first set of occupancy values
occ2: Tensor of size BxN ... |
9823197 | from django.contrib import admin
from forums.models import Category, Forum, Topic, Post
class ForumAdmin(admin.ModelAdmin):
list_display = ('name', 'category', 'position', 'is_closed')
admin.site.register(Category)
admin.site.register(Forum, ForumAdmin)
admin.site.register(Topic)
admin.site.register(Post)
|
9823223 | def partition(a,si,ei):
p = a[si]
c = 0 # c will be number of elements smaller than p
for i in range(si,ei+1):
if a[i] < p:
c += 1
a[si], a[si+c] = a[si+c], a[si]
i = si
j = ei
while i < j:
if a[i] < p:
i = i+1
elif a[j] >= p:
j = j... |
9823238 | import torch
import torch_scatter
from torch import nn
from torch_geometric.nn.conv.gcn_conv import gcn_norm
from torch_geometric.utils import dropout_adj, subgraph
from torch_geometric.utils.num_nodes import maybe_num_nodes
# implemented based on GCNModel: https://github.com/DropEdge/DropEdge/blob/master/src/models.... |
9823243 | import tensorflow as tf
from abc import ABC, abstractmethod
class AbstractHyperSolver(tf.keras.Model, ABC):
def __init__(self, func: tf.keras.Model, hyper_solver: tf.keras.Model, **kwargs):
"""
A port of the HyperSolver form the paper [Hypersolvers: Toward Fast Continuous-Depth Models](https://ar... |
9823246 | from datetime import datetime, date
import pytz
import unittest
from foil.dates import parse_date, DateTimeParser, _datetime_to_tuple
test_dt_data = [
('2015-04-03', datetime(2015, 4, 3)),
('2015-04-03T06:34:22', datetime(2015, 4, 3, 6, 34, 22)),
('2015-04-03T06:34:22.234', datetime(2015, 4, 3, 6, 34, 2... |
9823259 | import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
shape_vec = ['o', 'o', 'o', 'o', 'o', 'o', '^', '^', '^', '^', '^', '^', 's', 's', 's', 's', 's', 's']
edgecolor_vec = ['r', 'g', 'b', 'r', 'g', 'b', 'r', 'g', 'b', 'r', 'g', 'b', 'r', 'g', 'b', 'r', 'g', 'b']
facecolor_vec = ['r', 'g', 'b', 'n... |
9823265 | from django.db import models
from . import Note, Document, CommonFields
from .tracking import Actor, Status
class DescriptorClass(CommonFields):
pass
class DescriptorValue(CommonFields):
num_value = models.FloatField()
blob_value = models.BinaryField()
class Descriptor(CommonFields):
#ingredient = mo... |
9823304 | import os
from fabric.decorators import task
from fabric.operations import local
@task
def build():
"""
Builds the distribution files
"""
if not os.path.exists("build"):
os.mkdir("build")
local("date >> build/log")
local("python setup.py sdist >> build/log")
local("python setup.py ... |
9823345 | import torch
import math
from torch.optim.lr_scheduler import _LRScheduler
def get_scheduler(optimizer, args):
if args.scheduler == 'step':
scheduler = torch.optim.lr_scheduler.StepLR(optimizer,
gamma=0.1,
... |
9823411 | import numpy as np
'''
Library containing pulse shapes.
'''
from pycqed.measurement.waveform_control.pulse import Pulse, apply_modulation
from pycqed.utilities.general import int_to_bin
class MW_IQmod_pulse(Pulse):
'''
Block pulse on the I channel modulated with IQ modulation.
kwargs:
amplitude (... |
9823422 | import numpy as np
import matplotlib.colors as mlc
import matplotlib.pyplot as mlp
figure, axes = mlp.subplots(nrows=1, ncols=2, figsize=(8, 5))
# linking
db_a = ['A1', 'A2', 'A3', 'A4', 'A5', 'A6']
db_b = ['B1', 'B2', 'B3', 'B4', 'B5', 'B6']
img = np.ones((len(db_a), len(db_b)), dtype=float)
color_map = mlc.Linear... |
9823434 | from operator import add, gt, sub
from examples.account import Account
from kanren import eq, membero, run, unifiable, var
from kanren.core import lall
from kanren.term import applyo, term # noqa: F401
unifiable(Account) # Register Account class
accounts = (
Account("Adam", "Smith", 1, 20),
Account("Carl",... |
9823448 | import copy
import logging
from typing import List
import numpy as np
import torch
import torch.nn as nn
from rlbench.backend.observation import Observation
from rlbench.demo import Demo
from yarr.replay_buffer.prioritized_replay_buffer import \
PrioritizedReplayBuffer, ObservationElement
from yarr.replay_buffer.r... |
9823512 | def png_mirror(name):
target_name = name + "_mirror"
input = name + ".png"
output = name + "_mirror.png"
native.genrule(
name = target_name,
srcs = [input],
outs = [output],
cmd = """
convert -flop $(SRCS) $(OUTS)
""",
)
|
9823622 | import class_scope_weird
f = class_scope_weird.Foo()
g = class_scope_weird.Foo(3)
if f.bar(3) != 3:
raise RuntimeError
|
9823694 | from office365.runtime.client_value import ClientValue
class MailboxSettings(ClientValue):
"""Settings for the primary mailbox of a user."""
def __init__(self, time_format=None):
super(MailboxSettings, self).__init__()
self.timeFormat = time_format
|
9823695 | import os
IMAGENET_LABEL_URL = "https://storage.googleapis.com/download.tensorflow.org/data/ImageNetLabels.txt"
_TF = "tensorflow"
_TF_GPU = "tensorflow-gpu"
_TORCH = "torch"
_TORCHVISION = "torchvision"
_JAX = "jax"
_FLAX = "flax"
CHITRA_URL_SEP = "[-]"
CACHE_DIR = os.environ.get("HOME", ".") + "/.chitra_cache"
IMA... |
9823712 | import json
from six import BytesIO
from six.moves import map
from wex.form import create_html_parser
from wex.url import URL
from wex.response import Response, parse_headers
from httpproxy import HttpProxy, skipif_travis_ci
def run(**kw):
url = URL('http://httpbin.org/forms/post')
custname = 'Giles'
topp... |
9823727 | from pyclibrary import CParser
def typeToStr(type):
typeSpec = type.type_spec
if typeSpec == 'float':
typeSpec = 'dFloat'
if typeSpec == 'unsigned':
typeSpec = 'uint'
if typeSpec == 'short int':
typeSpec = 'short'
if typeSpec == 'long long':
typeSpec = 'long'
qua... |
9823736 | from abc import ABC, abstractmethod
from contextlib import contextmanager
class Canvas(ABC):
@abstractmethod
def newPath(self):
...
@abstractmethod
@contextmanager
def savedState(self):
...
@abstractmethod
@contextmanager
def compositeMode(self, compositeMode):
... |
9823741 | import numpy as np
def padding_constant(image, pad_size, constant_value=0):
"""
Padding with constant value.
Parameters
----------
image: NDArray
Image to padding. Only support 2D(gray) or 3D(color)
pad_size: tuple
Padding size for height and width axis respectively
Retur... |
9823792 | import jsonobject
from jsonobject.base_properties import DefaultProperty
import gmailfilterxml
class Base(jsonobject.JsonObject):
_allow_dynamic_properties = False
FILTER_KEY_TO_TYPE = {
name: py_type
for name, py_type in gmailfilterxml.PROPERTIES
}
def validate_filter(filter_dict):
for key, value... |
9823815 | import pycantonese
HKCANCOR = pycantonese.hkcancor()
def test_hkcancor_word_count():
assert len(HKCANCOR.words()) == 153_654
def test_hkcancor_character_count():
assert len(HKCANCOR.characters()) == 191_851
|
9823831 | from tkinter import E
import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from time import time
import sys
from pythonosc import udp_client
import torch
#model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt',force_reload=True)
#model.conf = 0.25 # NMS confide... |
9823850 | from optim.optimizer import *
class SGD(Optimizer):
def step(self):
for v in self._parameters:
if v.requires_grad:
v.eval -= self.lr * v.grad.eval
super(SGD, self).step()
class Momentum(Optimizer):
def __init__(self, parameters=None, lr=0.01, weight_decay=0., rho=... |
9823857 | from dolfin import *
import os
def project_P(solver):
"""
Method: Projecting first Piola-Kirchhoff stress tensor.
Another linear variational problem has to be solved.
"""
V = TensorFunctionSpace(solver.domain.mesh, "DG",0) # Define Discontinuous Galerkin space
####... |
9823877 | import unittest
import chainer
import chainer.functions as cf
import chainer.gradient_check
import chainer.testing
import cupy as cp
import scipy.misc
import neural_renderer
import utils
class TestRasterizeSilhouettes(unittest.TestCase):
def test_case1(self):
"""Whether a silhouette by neural renderer m... |
9823942 | from __future__ import print_function
import Tkinter as tk
import ttk
import tkSimpleDialog
import tkMessageBox
from sys import maxsize
from collections import OrderedDict
from .dialog_elements import (
FileEntry,
IntegerEntry,
Checkbox,
StringEntry,
SectionLabel,
DEFAULT_COLUMNS,
)
from ..basic... |
9823943 | import numpy as np
import tensorflow as tf
from mher.algos.sac_utils import apply_squashing_func, mlp_gaussian_policy
from mher.algos.util import nn, store_args
class ActorCritic:
@store_args
def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, sess):
"""The actor-... |
9823981 | from fusion.criterion.loss.dim import BaseDim
XX_MODE = 'XX'
class XxDim(BaseDim):
_name = XX_MODE
def __call__(self, reps, convs):
total_loss = None
raw_losses = {}
dim_conv_latent = 1
for rep_source_id, rep in reps.items():
for conv_source_id, conv in convs.ite... |
9823994 | import re
from etk.extractors.regex_extractor import RegexExtractor
class CVEExtractor(RegexExtractor):
"""
**Description**
This class inherits RegexExtractor by predefine the CVE regex pattern
CVE id form: https://cve.mitre.org/about/faqs.html#what_is_cve_id
Examples:
::
... |
9824059 | from gym.envs.registration import register
register(
id='MyPendulum-v0',
entry_point='myenv.pendulum:PendulumEnv',
)
register(
id='My_FA_Acrobot-v0',
entry_point='myenv.fa_acrobot:AcrobotEnv',
)
register(
id='My_FA_CartPole-v0',
entry_point='myenv.fa_cartpole:CartPoleEnv',
) |
9824061 | import os
import slackweb
import configparser
from functools import partial
from logging import getLogger
logger = getLogger('ChangeFinder')
class SlackClient:
def __init__(self):
self.__load_config()
def send_error(self, msg):
self.slack_notifier(attachments=[{'text': msg, 'color': 'danger... |
9824086 | import unittest
from kafka.tools.protocol.types.bytebuffer import ByteBuffer
class ByteBufferTests(unittest.TestCase):
def setUp(self):
self.test_bb = ByteBuffer(b'\x03\x05\x07\x09\x11\x13\x15\x17\x19\x21')
def test_create_allocate(self):
val = ByteBuffer(4)
assert val.position == 0
... |
9824088 | import collections
import json
import sys
cols = (
'name', 'type', 'category', 'power', 'accuracy', 'pp', 'priority',
'highCriticalHitRatio', 'effect')
def to_percent(acc):
if acc is None:
return str(None)
return str(int(acc * 100)) + '%'
moves = collections.defaultdict(list)
unaccounted_keys... |
9824138 | import os
import pytest
from nerdlandbot.persistence.json.jsonconfigstore import JsonConfigStore
JSON = 'test_config.json'
DATA = {'key': 'value'}
@pytest.fixture(autouse=True)
def wrap():
clean()
yield
clean()
def clean():
if os.path.exists(JSON):
os.remove(JSON)
def test_init():
Js... |
9824151 | import salt.utils.timed_subprocess as timed_subprocess
from tests.support.unit import TestCase
class TestTimedSubprocess(TestCase):
def test_timedproc_with_shell_true_and_list_args(self):
"""
This test confirms the fix for the regression introduced in 1f7d50d.
The TimedProc dunder init wou... |
9824179 | def watcher(path):
#python script to observe changes in a folder
import sys
import time
import os
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
from move_to_directory import add_to_dir
class Handler(FileSystemEventHandler):
d... |
9824232 | import os
steps = [8, 16, 32, 64, 128, 256]
for lr in [0.001, 0.03, 0.01]:
for k in range(10):
for model in ['ssm', 'lin', 'rnn', 'gru']:
for step in steps:
os.system(f'python system_id.py -lr {lr} -nsteps {step} '
f'-cell_type {model} -exp sysid_{model... |
9824323 | class Solution:
def numOfSubarrays(self, arr: List[int], k: int, threshold: int) -> int:
count = s = 0
for i, a in enumerate(arr):
s += a
if i >= k:
s -= arr[i - k]
if i >= k - 1 and s / k >= threshold:
count += 1
return cou... |
9824375 | from functools import partial
from torchnlp.word_to_vector.char_n_gram import CharNGram
from torchnlp.word_to_vector.fast_text import FastText
from torchnlp.word_to_vector.glove import GloVe
aliases = {
"charngram.100d": partial(CharNGram),
"fasttext.en.300d": partial(FastText, language="en"),
"fasttext.s... |
9824376 | from .foreign.mongodb import MongodbHandler
from .foreign.influxdb import InfluxdbHandler
from .local.sqlite import SqliteHandler
def get_actuate(actuate, host, port, user):
if actuate == 'mogodb':
pass
elif actuate == 'influxdb':
pass
elif actuate == 'sqlite':
pass
else:
... |
9824417 | import os
import subprocess
from optparse import OptionParser
TEST_MAIN = "test_main.py"
def parse_args():
usage = "usage : %prog [options]"
parser = OptionParser(usage)
parser.add_option("-d",
"--lib-path",
type="string",
dest="lib_path"... |
9824436 | import os
from unittest.mock import patch
import pytest
from cases.data.data_utils import get_scoring_case_data_paths
from fedot.core.data.data import InputData
from fedot.core.data.data_split import train_test_data_setup
from fedot.core.log import default_log
from fedot.core.pipelines.node import PrimaryNode, Second... |
9824449 | import copy as python_copy
import gdspy
from phidl.device_layout import CellArray, Device, DeviceReference
from gdsfactory.component import Component, ComponentReference
def copy(D: Component, prefix: str = "", suffix: str = "_copy") -> Device:
"""returns a deep copy of a Component.
based on phidl.geometry ... |
9824469 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import logging
import collections
import numpy as np
import math
import pandas as pd
import ray
from Override_ray.replay_buffer import ReplayBuffer, \
PrioritizedReplayBuffer
from Override_ray.policy_optim... |
9824473 | from .model import Model
class ModelFactory:
""" Factory class for models """
def instantiate(self, **extra_args) -> Model:
raise NotImplementedError
@staticmethod
def generic(closure):
return GenericModelFactory(closure)
class GenericModelFactory(ModelFactory):
""" Create mode... |
9824531 | import unittest
from dns.name import from_text
from dns.rdataclass import IN
from dns.rdatatype import A
from dns_cache.key_transform import StringKeyDict, key_decode, key_encode
class TestKeyEncoding(unittest.TestCase):
def test_encode(self):
assert key_encode(("foo.bar.", A, IN)) == "foo.bar.!1!1"
... |
9824569 | import unittest
import zen
class UndirectedDuplicationDivergenceIKYTestCase(unittest.TestCase):
def test_bad_argument(self):
try:
zen.generating.duplication_divergence_iky(10,0.5,blah=10)
self.fail('blah should not be accepted as a keyword argument')
except zen.ZenException,e:
pass
def test_seed(... |
9824570 | from amaranth.sim.pysim import *
from amaranth.sim.pysim import __all__
import warnings
warnings.warn("instead of nmigen.sim.pysim, use amaranth.sim.pysim",
DeprecationWarning, stacklevel=2)
|
9824580 | from ocd_backend import settings
from ocd_backend.app import celery_app
from ocd_backend.log import get_source_logger
from ocd_backend.models import *
from ocd_backend.transformers import BaseTransformer
log = get_source_logger('goapi_committee')
@celery_app.task(bind=True, base=BaseTransformer, autoretry_for=settin... |
9824592 | from typing import Dict, Union
from app.clients.github_client import GithubClient
from app.enums.event_types import EventType
from app.hook_details.hook_details import HookDetails
from app.mongo.registration_cursor import RegistrationCursor
from app.request_schemes.register_request_data import RegisterRequestData
cl... |
9824626 | from collections import defaultdict as ddict
from util import FULL, clip, unify, dprint, iprint
class Target(object):
"""
A mapping target. In the Interface, the IDs of the input
device are mapped to targets.
"""
trigger_vals = list(range(128))
def __init__(self, name, parent):
s... |
9824629 | import json
from unittest.mock import patch, MagicMock
from django.test import TestCase, Client
from django.http import JsonResponse
from core.helpers import jsonbody
class CoreTestCase(TestCase):
def test_jsonbody_valid(self):
schema = {
'type': 'object',
'required': ['message']... |
9824650 | import os
def curjoin(_file): # return filepath relative to __file__ (this file)
return os.path.join(os.path.dirname(__file__), _file)
|
9824694 | import argparse
import os
import torch
import torchvision
from torchvision import transforms
import numpy as np
import pandas as pd
from sklearn.metrics.pairwise import euclidean_distances
import config
from data import WriterData
import evaluation
from data_transforms import PatchCrop
from encoder import ResNet50Enco... |
9824714 | import os
import tempfile
import unittest
import chainer
from chainer import testing
import numpy as np
import chainerrl
_v = chainer.Variable(np.zeros(5))
_dav = chainerrl.action_value.DiscreteActionValue(
chainer.Variable(np.zeros((5, 5))))
_qav = chainerrl.action_value.QuadraticActionValue(
chainer.Varia... |
9824764 | from uuid import uuid1
import hashlib
from ..helper import normalize_values_for_neo4j
class PGAnnotation(object):
def __init__(self, label, begin, end):
self.id = uuid1()
self.label = label
if begin > end:
begin, end = end, begin
self.begin = begin
self.end = e... |
9824808 | from argparse import ArgumentParser
import os
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
from musdr.side_utils import read_fitness_mat
def visualize_scapeplot(mat_file, fig_out_dir):
plt.clf()
f_mat = read_fitness_mat(mat_file)
ext = os.path.splitex... |
9824831 | from piccolo.conf.apps import AppConfig
from .commands.dump import dump
from .commands.load import load
APP_CONFIG = AppConfig(
app_name="fixtures",
migrations_folder_path="",
table_classes=[],
migration_dependencies=[],
commands=[dump, load],
)
|
9824832 | from canvas_workflow_kit import events
from canvas_workflow_kit.constants import CHANGE_TYPE
from canvas_workflow_kit.protocol import (STATUS_DUE, STATUS_SATISFIED,
ClinicalQualityMeasure,
ProtocolResult)
from canvas_workflow_kit.recomm... |
9824863 | import pyautogui
import time
# time to change tabs from editor to paint;
time.sleep(10)
# it will remain clicked till program ends;
pyautogui.click()
# can be varied according to convininence
distance = 250
while distance > 0:
# right
pyautogui.dragRel(distance, 0, duration = 0.1)
distance -= 5
... |
9824899 | import unittest
from unittest.mock import Mock, create_autospec, patch, call, ANY
import selectors
from selectors import BaseSelector
from concurrent.futures import Future
from coax import Poll, PollAck, PowerOnResetCompletePollResponse, KeystrokePollResponse, ReceiveTimeout
import context
from oec.interface import ... |
9824900 | import numpy as np
import scipy.spatial.distance
from sklearn.cluster import SpectralClustering
import heapq
from common import baseline_retrieval
from utils import tqdm
## CLUE ##
def clue(features, queries, select_clusters, k = 200, max_clusters = 10, T = 0.9, min_cluster_size = 2, show_progress = False):
"... |
9824941 | from django.db import models
from django.contrib.auth.models import User
from PIL import Image
from django.utils.timezone import now
class Profile(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE)
picture = models.ImageField(default='profile_picture.png', upload_to='profile_pictures')
... |
9824951 | from twisted.trial import unittest
from protos import objects
import os
from db.datastore import Database
from market.profile import Profile
class MarketProfileTest(unittest.TestCase):
PUBLIC_KEY = """-----BEGIN PGP PUBLIC KEY BLOCK-----
Version: GnuPG v1
<KEY>
-----END PGP PUBLIC KEY BLOCK-----"""
SIGNATUR... |
9824998 | from django.contrib import admin
from security.models import Fingerprint, BannedFingerprint, IP
class IPAdmin(admin.ModelAdmin):
list_display = ('address', 'user', 'created_at')
class FingerprintAdmin(admin.ModelAdmin):
list_display = ('hash', 'user', 'ip', 'created_at')
class BannedFingerprintAdmin(admi... |
9825003 | import matplotlib as mpl
mpl.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
from fidimag.atomistic import Sim
from fidimag.atomistic import DMI, Demag, UniformExchange
from fidimag.common import CuboidMesh
def init_m(pos):
x, y, z = pos
if x < 140 * 0.5:
return (1, 0, 0.1)
elif x > ... |
9825010 | import logging
from os.path import join, exists
import datatable as dt
from rs_datasets.generic_dataset import Dataset, safe
class Steam(Dataset):
def __init__(self, path: str = None):
super().__init__(path)
folder = join(self.data_folder, 'steam')
if not exists(folder):
self... |
9825077 | import uuid
import pytest
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.asymmetric import rsa
from pypsrp.complex_objects import Color, ControlKeyState, Coordinates, \
CultureInfo, KeyInfo, KeyInfoDotNet, GenericComplexObject, \
HostMethodIdentifier, ObjectMeta,... |
9825083 | from .position_set import PositionSet, reduced_union
from .position import Position
def _get_next_candidates(tolerance, current):
base = current[0]
back = current[-1]
result = []
i0 = base.i + base.e
e0 = 0
if back != base:
e0 = back.e + 1
for j in range(back.i + 1, i0 + back.... |
9825087 | import os
import click
from dotenv import load_dotenv
from flask import Flask, request, abort
from flask.cli import AppGroup
from twilio.jwt.access_token import AccessToken
from twilio.jwt.access_token.grants import ChatGrant
from twilio.rest import Client
from twilio.base.exceptions import TwilioRestException
load_do... |
9825097 | class Solution(object):
def findMin(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
if not nums:
return None
if len(nums) == 1:
return nums[0]
if nums[0] < nums[-1]:
return nums[0]
if nums[0] == nums[-1]:
... |
9825098 | class Flags:
def __init__(self, s=''):
self.flags = s
def add_definition(self, key, value):
if isinstance(value, bool):
value = int(value)
self.flags += ' -D%s=%s' % (key, str(value))
return self
def add_string(self, s):
self.flags += ' %s' % str(s)
... |
9825129 | from abc import ABC
import csv
from copy import deepcopy
import numpy as np
from torch.utils.data import Dataset
from megatron import print_rank_0, get_args
from megatron.data.mask_creation_utils import make_attention_mask
def build_tokens_types_paddings_from_text(src_text, answer_text, tokenizer, max_seq_length, dec... |
9825145 | import hashlib
import mimetypes
import re
from collections import defaultdict
from io import BytesIO
from pathlib import Path
import piexif
import requests
from bs4 import BeautifulSoup
from PIL import Image
from nefelibata.assistants import Assistant
from nefelibata.assistants import Scope
from nefelibata.post impor... |
9825146 | import os,sys,time
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import Base
from FeatureFunctionLib import * |
9825149 | import tensorflow as tf
import numpy as np
%autoindent
try:
from tqdm import tqdm
except ImportError:
def tqdm(x, *args, **kwargs):
return x
# Load data
data = np.load('data_with_labels.npz')
train = data['arr_0']/255.
labels = data['arr_1']
# Look at some data
print(train[0])
print(labels[0])
# If y... |
9825158 | from os import environ
BANANO_HTTP_PROVIDER_URI = environ.get(
"BANANO_HTTP_PROVIDER_URI", "https://api-beta.banano.cc"
)
BANANO_NODE_PORT = environ.get("BANANO_NODE_PORT", 443)
BANANO_API = f"{BANANO_HTTP_PROVIDER_URI}:{BANANO_NODE_PORT}"
print(f"Using {BANANO_HTTP_PROVIDER_URI} as API provider on port {BANANO_... |
9825164 | import argparse
from pathlib import Path
import numpy as np
from ts2vg import NaturalVG, HorizontalVG
from ts2vg.graph.base import _DIRECTED_OPTIONS, _WEIGHTED_OPTIONS
_OUTPUT_MODES = {
'el': 'edge list',
'ds': 'degree sequence',
'dd': 'degree distribution',
'dc': 'degree counts'
}
_GRAPH_TYPES = {
... |
9825174 | from django.apps import apps
from django.conf import settings
from django.db.models import Q
from api_basebone.core.admin import BSMAdmin
from api_basebone.core.admin import BSMAdminModule
from api_basebone.utils import meta, module
from api_basebone.utils.meta import get_export_apps
from bsm_config.models import Admi... |
9825184 | def _save_to_comsol(filename, centers, radii):
r"""
Generates a COMSOL-compatible sphere pack and writes to file.
Parameters
----------
filename : str
The name of the file to export.
centers : ndarray
An (Ns, 3) array containing the spheres centers where Ns is the
number... |
9825206 | from weworkbot import bot_mgr as bots
from weworkbot import BotMgr
from weworkbot import Bot as wBot
url = ""
# ============ hello world ====================
def hello_world():
wBot(url).set_text("hello world").send()
# ============ hello world ====================
def hello_world_twice():
bot = wBot(url)
... |
9825224 | import argparse
from gamechangerml import MODEL_PATH, DATA_PATH, REPO_PATH
from gamechangerml.src.search.ranking.ltr import LTR
import logging
import os
import torch
import json
import urllib3
import pandas as pd
from distutils.dir_util import copy_tree
from datetime import datetime, date
from pathlib import Path
impor... |
9825305 | from abc import ABC, abstractmethod
import numpy as np
class Objective(ABC):
def __init__(self, strength: float = 1.0):
"""
A generic calibration objective, e.g. the price targets or some penalty to combat overfitting, arbitrage, etc.
A calibration problem is a set of objectives, each give... |
9825326 | import fire
import urllib.request
from pathlib import Path
langs = ['english', 'spanish', 'german', 'chinese', 'french', 'russian', 'japanese', 'italian']
lang_codes = ['en', 'es', 'de', 'zh', 'fr', 'ru', 'ja', 'it']
def fetch_mldoc(url_prefix, mldoc_path="data/mldoc"):
""" Fetch mldoc from server using basic au... |
9825330 | from models.base_model import BaseModel
from transformers import T5Tokenizer
from transformers import T5ForConditionalGeneration
from models.modeling_t5 import T5ForMultiModalGeneration
from datasets import load_metric
class T5Origin(BaseModel):
def __init__(self,args):
self.args = args
super(T5Or... |
9825342 | from django.conf.urls import url
from . import views
app_name = "pinax_lms_activities"
urlpatterns = [
url(r"(?P<key>[\w\-]+)/start/$", views.activity_start, name="activity_start"),
url(r"(?P<key>[\w\-]+)/play/$", views.activity_play, name="activity_play"),
url(r"(?P<key>[\w\-]+)/completed/$", views.acti... |
9825378 | from pat.attack.common import FGSMAttack
from pat.attack.common import PGDAttack
from pat.attack.common import BIMAttack
from pat.attack.common import CarliniWagnerL2
from pat.attack.targeted import FGSMTargetAttack
from pat.attack.targeted import PGDTargetAttack
from pat.attack.targeted import BIMTargetAttack |
9825422 | from django.apps import AppConfig
class AFOConfig(AppConfig):
name = 'afo'
verbose_name = 'AFO'
|
9825433 | import io
from tempfile import mktemp
from os import mkdir
from os.path import dirname, abspath, join, exists
from restfulpy.helpers import import_python_module_by_filename, \
construct_class_by_name, copy_stream, md5sum, to_camel_case, \
encode_multipart_data, split_url, noneifnone
HERE = abspath(dirname(__... |
9825509 | from tqdm import tqdm
import pandas as pd
import numpy as np
import gc
import copy
def AutoComple(action,caction):
action['actionTime'] = action['actionTime'].apply(lambda x: pd.to_datetime(x))
aT4 = action[action['actionType'] > 3]
temp1 = aT4.groupby(['userid'],as_index=True)['actionType'].diff()
#pr... |
9825530 | import datetime
from ftc.management.commands._base_scraper import CSVScraper
from ftc.management.commands._la_locations import LA_LOCATIONS
from ftc.models import Organisation, OrganisationLocation
class Command(CSVScraper):
name = "pla"
allowed_domains = ["register.gov.uk"]
start_urls = [
"https... |
9825534 | from erde import autocli
from erde.op import sjoin, buffer
from geopandas import GeoDataFrame as gdf
@autocli
def main(houses_df: gdf, schools_df: gdf) -> gdf:
schools_df['school'] = schools_df.index.tolist()
school_buf = buffer.main(schools_df.geometry, 1000, default_crs=4326)
demand = sjoin.sagg(houses_df, schoo... |
9825537 | import ast
import sys
from PIL import Image as im
import matplotlib.pyplot as plt
import numpy as np
import theano.tensor as tt
from theano import shared, config, function
from theanet.layer import ElasticLayer
config.exception_verbosity = 'high'
config.optimizer = 'fast_compile'
np.set_printoptions(precision=2)
####... |
9825544 | from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('evaluation', '0091_rename_course_to_evaluation'),
]
operations = [
migrations.CreateModel(
... |
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