id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
1664274 | import numpy as np
import tensorflow as tf
import sys
import gc
import time
#from tensorflow.python.ops import rnn_cell
from tensorflow.python.ops.rnn import bidirectional_dynamic_rnn
from tf_utils import variable_summaries, _batch_norm
from custom_ops import atrous_pool2d
def weight_variable(shape, name=None):
init... |
1664295 | from collections import defaultdict
from datetime import timedelta
from time import time
import numpy as np
from scipy import sparse as sp
from menpo.visualize import bytes_str, print_progress
from .base import gradient_xy, camera_parameters_update
from .hessian import (initialize_hessian_and_JTe, insert_frame_to_H,... |
1664336 | import sys
import scrapy
from scrapy.crawler import CrawlerProcess
class CachingHostnameResolverSpider(scrapy.Spider):
"""
Finishes in a finite amount of time (does not hang indefinitely in the DNS resolution)
"""
name = "caching_hostname_resolver_spider"
def start_requests(self):
yield ... |
1664432 | from fractions import gcd
def lcm(a, b):
return (a * b) // gcd(a, b)
N = int(input())
for i in range(N):
number_of_wheels = int(input())
wheels = [int(x) for x in input().split()]
if number_of_wheels == 1:
print(wheels[0])
else:
solution = lcm(wheels[0], wheels[1])
for... |
1664487 | import sys
sys.path.append('/opt')
from common.constant import StatusCode
from common.logger import get_logger
from common.utils import handle_exception_with_slack_notification, generate_lambda_response
from event_pubsub.config import SLACK_HOOK, NETWORK_ID
from event_pubsub.services.raw_events_service import RawEvents... |
1664532 | from .. import surface, rect, video, pixels, render, rwops
from .color import convert_to_color
from .common import SDLError
from .compat import isiterable
from .ebs import System
from .image import load_image
from .renderer import Renderer
from .sprite import Sprite, SoftwareSprite, TextureSprite
from .window import W... |
1664537 | import logging
import re
import time
from celery import chain
from django.core.cache import cache
from django.db import transaction
from django.core.exceptions import ValidationError
from cacheops import invalidate_model
import app.ciscoeox.api_crawler as cisco_eox_api_crawler
from app.ciscoeox.exception import CiscoA... |
1664539 | import datetime, json, os, uuid, urllib.request, urllib.error, re
import flask, werkzeug.exceptions, cairosvg
import mimetypes
from flask import jsonify, request
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.web... |
1664572 | import os
from setuptools import find_packages, setup
NAME = 'django-lightning'
os.chdir(os.path.dirname(os.path.abspath(__file__)))
VERSION = '1.1.0-rc.2'
def get_install_require_packages():
"""获取依赖的安装包"""
with open('requirements.in', 'r') as file:
return [line
for line in file.readlines... |
1664573 | import torch
from torch import optim
from torch.utils import data
from torch import nn
from torch.nn.functional import soft_margin_loss
import numpy as np
from .train_helpers import normalize, get_loss_weights, load_losses, save_losses
from .models import Relative_Positioning
import os.path as op
import os
root = op... |
1664599 | from __future__ import absolute_import
import boto3
import botocore
import inspect
import os
import zipfile
from django.core.exceptions import ImproperlyConfigured
from django.core.management.base import BaseCommand
from django.utils.text import slugify
from zappa.zappa import Zappa
class ZappaCommand(BaseCommand):... |
1664607 | import torch
import torch.nn as nn
import torch.nn.functional as F
class BottleneckV2(nn.Module):
def __init__(self, in_channels,channels,ks, stride=1,upsample=False,downsample=False):
super(BottleneckV2, self).__init__()
self.bn1 = nn.BatchNorm1d(in_channels)
self.conv1 = nn.Conv1d(in_chan... |
1664631 | import types
from pycsp3.tools.curser import queue_in
class Diagram:
_cnt = 0
_cache = {}
def __init__(self, transitions):
self.transitions = Diagram._add_transitions(transitions)
self.states = sorted({q for (q, _, _) in self.transitions} | {q for (_, _, q) in self.transitions})
... |
1664691 | from __future__ import print_function
import numpy as np
import gluoncv as gcv
import mxnet as mx
from mxnet import autograd, gluon
from gluoncv.utils import download, viz
def test_voc07_metric_difficult():
url = 'https://apache-mxnet.s3-accelerate.amazonaws.com/gluon/dataset/pikachu/train.rec'
idx_url = 'htt... |
1664714 | import dns.message
import dns.query
import dns.rdatatype
import sys
def resolve(domain):
# Start at the root nameserver
nameserver = "192.168.3.11"
while True:
reply = query(domain, nameserver)
ip = get_answer(reply)
if ip:
# Best case: we get an answer to our query and we're don... |
1664750 | import unittest
from email_scraper.scrape import extract_emails, deobfuscate_html, scrape_emails
class TestExtractor(unittest.TestCase):
def test_basic(self):
self.assertEqual(extract_emails('hello world'), [])
self.assertEqual(extract_emails('hello <EMAIL> world'), ['<EMAIL>'])
self.asse... |
1664767 | import sqlite3
import datetime
def hash0x_to_bytes(hash0x):
return bytearray.fromhex(hash0x[2:])
def build_rows(responses):
for response in responses:
block_number = response['id']
block = response['result']
yield (
block_number,
int(block['timestamp'], 16),
... |
1664788 | from typing import Dict, List
from geojson_pydantic.geometries import Point
from opennem.db.models.opennem import Station
from .schema import FacilityFeature, FacilityGeo
def stations_to_geojson(stations: List[Station]) -> FacilityGeo:
features = []
for station in stations:
if not station.location... |
1664791 | import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))))
import argparse
import math
import numpy as np
import random
from job import Job
from job_table import JobTable
import utils
def generate_interarrival_time(rng, lam):
return -math.log(1.0 - rng.random())... |
1664812 | from __future__ import annotations
from typing import Optional
from jsonclasses import jsonclass, types
@jsonclass
class SimpleRange:
i: Optional[int] = types.int.range(1, 10)
ic: Optional[int] = types.int.range(lambda: 1, lambda: 10)
it: Optional[int] = types.int.range(types.default(1), types.default(10)... |
1664820 | from __future__ import unicode_literals
from ddf import DDFManager, DDF_HOME
dm = DDFManager('spark')
dm.sql('set hive.metastore.warehouse.dir=/tmp/hive/warehouse', False)
dm.sql('drop table if exists mtcars', False)
dm.sql("CREATE TABLE mtcars (mpg double, cyl int, disp double, hp int, drat double, wt double,"
... |
1664904 | from django.conf import settings
ADMIN_VIEWS_SITE = getattr(settings, 'ADMIN_VIEWS_SITE', 'django.contrib.admin.site')
|
1664907 | import os
class Config:
DB_SERVER_NAME = os.environ.get("DB_SERVER_NAME")
DB_USERNAME = os.environ.get("DB_USERNAME")
DB_PASSWORD = <PASSWORD>("DB_PASSWORD")
|
1664930 | from fastapi import APIRouter
from . import groups
groups_router = APIRouter()
groups_router.include_router(groups.router)
|
1664948 | import os
import re
from pathlib import Path
import music_tag
from telegram import ReplyKeyboardMarkup
from telegram.ext import CallbackContext
from models.admin import Admin
from models.user import User
from utils.lang import keys
def translate_key_to(key: str, destination_lang: str) -> str:
"""Find the specif... |
1664956 | from __future__ import absolute_import
import numpy as np
from pyti import catch_errors
from pyti.function_helper import fill_for_noncomputable_vals
from six.moves import range
def vertical_horizontal_filter(data, period):
"""
Vertical Horizontal Filter.
Formula:
ABS(pHIGH - pLOW) / SUM(ABS(Pi - Pi-1... |
1664961 | import numpy as np
import pandas as pd
import scipy.cluster.hierarchy as sch
from .metrics import get_corr_dist
from .quasi import get_quasi_diag
def get_rec_bipart(cov, sort_idx):
"""Compute portfolio weight by recursive bisection
Params
------
cov: pd.DataFrame
sort_idx: pd.Series
... |
1664979 | from django.contrib.postgres.fields import JSONField
from django.db import models
from supportal.app.models.base_model_mixin import BaseModelMixin
class EmailSend(BaseModelMixin):
INVITE_EMAIL = "switchboard_invite_email"
EXPIRING_PROSPECTS = "expiring_contacts_email"
INACTIVE_USER_EMAIL = "switchboard_i... |
1664988 | from django.utils.http import urlencode
#django <2 compat
try:
from django.urls import reverse
except ImportError:
from django.core.urlresolvers import reverse
from .exceptions import InvalidActionError
from .exceptions import InvalidControllerError
class ApplicationHelper(object):
"""ApplicationHelpers ... |
1665013 | import bz2
import json
import re
from decimal import Decimal
from servicelayer.cache import make_key
# from pprint import pprint
CAMEL_RE = re.compile(r"([A-Z]+)")
STEPS_TYPE_1 = {
"step_2": "relatives",
"step_3": "real_estate",
"step_4": "real_estate_construction",
"step_5": "movable_property",
... |
1665014 | import json
from jupyter_server.base.handlers import APIHandler
from jupyter_server.utils import url_path_join
from escapism import escape
from copy import deepcopy
import string
import tornado
def safe_id(id):
"""
Make sure meeting-ids are safe
We try to keep meeting IDs to a safe subset of characters... |
1665043 | import serial
serLidar = serial.Serial("/dev/ttyACM0","115200")
serMotor = serial.Serial("/dev/ttyUSB0","9600")
distArr = []
while True:
dist = serLidar.readline()
try:
dist = dist[:3]
dist = int(dist)
distArr.append(dist)
if len(distArr) == 100:
del distArr[0]
e... |
1665060 | import tensorflow as tf
import numpy as np
import os, sys, cv2
from VGGnet_train import *
vgg = VGGnet_train()
|
1665081 | import math
from mathutils import Vector, Matrix, Color
import bpy
from .createPlane import *
def primLamp( _obj, _dirname ):
if _obj.data.type == "POINT":
return {
"type" : [ "L" ],
"params" : {
"L" : {
"type" : "point",
"point" : {
"Le" : [ 1, 1, 1 ],
... |
1665083 | def binary_search(array, y):
low_index = 0
high_index = len(array) - 1
middle = 0
while low_index <= high_index:
middle = (high_index + low_index) // 2
if array[middle] < y:
low_index = middle + 1
elif array[middle] > y:
high_index = middle - 1
... |
1665120 | from pyspark import SparkContext, SparkConf
import sys
appName="salesApp"
master="local"
conf = SparkConf().setAppName(appName)#.setMaster(master)
sc = SparkContext(conf=conf)
base_path="../../data/sales/"
output_path=sys.argv[1]#"/home/curri/projects/spark/out/"
# load sales
sales=sc.textFile(base_path+"sales_*.txt")... |
1665131 | from pathlib import Path
root_path = Path(__file__).parent.parent
# define the model
import torch
from torch import nn
from torch.nn import functional as F
class TorchModel(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(1, 6, 5, 1)
self.conv2 = nn.Conv2d(6, 16, ... |
1665144 | class Solution:
def maxSatisfaction(self, satisfaction: List[int]) -> int:
satisfaction.sort(reverse=True)
ans = cur_sum = 0
for ele in satisfaction:
cur_sum += ele
if cur_sum >= 0:
ans += cur_sum
return ans; |
1665173 | import pandas as pd
import pytest
from etna.analysis import StatisticsRelevanceTable
from etna.transforms.feature_selection import MRMRFeatureSelectionTransform
@pytest.mark.parametrize(
"features_to_use, expected_features",
(
("all", ["regressor_1", "regressor_2", "exog"]),
(["regressor_1"],... |
1665179 | import os.path
from datetime import datetime
from hashlib import md5
DATE_FORMAT = '%Y-%m-%d %H:%M'
class FileStatistic(object):
def __init__(self, root):
self.root = root
def get_filename(self, name):
return os.path.join(self.root, md5(name + 'v1').hexdigest())
def log(self, name, cpm,... |
1665183 | from Vertex import Vertex
from Connect import Connect
class TriSolve():
#get a triangle and line in 3d space
#converts triangle to 2d space and gets the point of intersection on that plane
#returns a boolean from triPointIntersect
def triPointLineIntersect(self):
return 1
#called by tr... |
1665232 | import logging
import multiprocessing as mp
from datetime import datetime
LOGGER = logging.getLogger(__name__)
class Runner:
"""Runner.
"""
def __init__(self, config, is_debug, is_cold):
"""Constructor.
"""
self._config = config
self._is_debug = is_debug
self._is_... |
1665331 | from __future__ import print_function
import sys
from pacolib import *
if len(sys.argv) < 2:
sys.stderr.write('\nUsage: '+sys.argv[0]+' relsize\n\n')
sys.exit(1)
relsize = int(sys.argv[1])
print ('From Paco Require Import hpattern.')
print ('From Paco Require Export paconotation_internal paconotat... |
1665336 | import ChromaPy32 as Chroma # Import the Chroma Module
from time import sleep
Keyboard = Chroma.Keyboard() # Initialize a new Keyboard Instance
RED = (255, 0, 0) # Initialize a new color by RGB (RED,GREEN,BLUE)
GREEN = (0, 255, 0)
for y in range(0, Keyboard.MaxRow): # Use Keyboard.MaxRow as an iteration border i... |
1665341 | from collections import Counter, defaultdict
import networkx
from indra.ontology.bio import bio_ontology
def plot_problem(problem):
import matplotlib.pyplot as plt
plt.ion()
plt.figure()
G = bio_ontology.subgraph(problem)
pos = networkx.spring_layout(G)
networkx.draw_networkx(G, pos, node_colo... |
1665343 | def TransitionPoint(arr,n):
l=0
u=n-1
while(l<=u):
mid=(int)((l+u)/2)
if(arr[mid]==0):
l=mid+1
elif(arr[mid]==1):
if (mid==0 or (mid>0 and arr[mid-1]==0)):
return mid
u=mid-1
return -1
n=int(input("Enter length of array:"))
arr... |
1665395 | import numpy as np
from sklearn.ensemble import *
import xgboost as xgb
from sklearn.cross_validation import train_test_split
X = np.random.uniform(size=(100,10))
Y = np.random.uniform(size=(100))
# split our dataset for validation
train_X, test_X, train_Y, test_Y = train_test_split(X, Y, test_size = 0.2)
# our base... |
1665397 | from abc import abstractmethod, ABC
from typing import Dict, Optional
class AbstractJSQLService(ABC):
@abstractmethod
def call_jsql(self, sql: str) -> Optional[Dict]:
raise NotImplementedError()
|
1665423 | import numpy as np
def GetUserDataFunc(news_title,train_user_id_sample,train_user,train_sess,train_label,train_user_id):
def _get_user_data(uid):
click = []
sample = []
label = []
for sid in train_user_id_sample[uid]:
click.append(train_user['click'][train_user_id[sid]])... |
1665427 | import random
from maro.simulator import Env
from maro.simulator.scenarios.vm_scheduling import AllocateAction, DecisionPayload
from rule_based_algorithm import RuleBasedAlgorithm
class RandomPick(RuleBasedAlgorithm):
def __init__(self, **kwargs):
super().__init__()
def allocate_vm(self, de... |
1665472 | from trie.constants import (
BLANK_NODE,
BLANK_HASH,
BINARY_TRIE_NODE_TYPES
)
from trie.exceptions import (
ValidationError,
)
def validate_is_bytes(value):
if not isinstance(value, bytes):
raise ValidationError("Value is not of type `bytes`: got '{0}'".format(type(value)))
def validate_... |
1665478 | from vm.lua_state import LuaState
def main():
ls = LuaState()
ls.push_boolean(True)
ls.print_stack()
ls.push_integer(10)
ls.print_stack()
ls.push_nil()
ls.print_stack()
ls.push_string('hello')
ls.print_stack()
ls.push_value(-4)
ls.print_stack()
ls.replace(3)
ls.pri... |
1665479 | from hashlib import sha3_256
import json
def get_hash(content, hex=False):
if isinstance(content, str):
content = content.encode()
if not isinstance(content, bytes):
raise TypeError(type(content))
hash = sha3_256(content)
result = hash.digest()
if hex:
result = result.hex()
... |
1665486 | import copier
from .helpers import build_file_tree
def test_empty_suffix(tmp_path_factory):
root = tmp_path_factory.mktemp("demo_empty_suffix")
build_file_tree(
{
root
/ "copier.yaml": """
_templates_suffix: ""
name:
type: st... |
1665499 | from tt.dataaccess.utils import get_data_store
from tt.actions.utils.utils import ensure_working
from tt.actions.utils.utils import ensure_end_after_start
from tt.dateutils.dateutils import formatted_str_for_isotime_str
def action_stop(colorizer, time):
data = get_data_store().load()
ensure_working(data)
... |
1665502 | from torch.distributed._sharding_spec import (
ChunkShardingSpec,
)
def generate_chunk_sharding_specs_for_test(sharding_dim):
return [
ChunkShardingSpec(
dim=sharding_dim,
placements=[
"rank:0/cuda:0",
"rank:1/cuda:1",
"rank:2/cuda... |
1665652 | from __future__ import absolute_import, division
import numpy as np
import cv2
from . import Tracker
from ..utils import dict2tuple
from ..utils.complex import real, fft2, ifft2, complex_add, complex_mul, complex_div, fftshift
from ..descriptors.fhog import fast_hog
class TrackerKCF(Tracker):
def __init__(self... |
1665702 | from .base_enums import AvatarPart
class AvatarStyle(AvatarPart):
"""Avatar styles"""
__install__ = True
__enum_path__ = 'avatar_styles.py'
__path__ = 'avatar_parts/styles'
TRANSPARENT = 'transparent'
CIRCLE = 'circle'
|
1665707 | from kratos import Interface, Generator, always_ff, posedge, verilog
import tempfile
import os
class ConfigInterface(Interface):
def __init__(self):
Interface.__init__(self, "Config")
width = 8
# local variables
read = self.var("read_data", width)
write = self.var("write_da... |
1665740 | import unittest
from katas.kyu_6.the_book_of_mormon import mormons
class MormonsTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(mormons(10, 3, 9), 0)
def test_equal_2(self):
self.assertEqual(mormons(99, 2, 99), 0)
def test_equal_3(self):
self.assertEqual(mo... |
1665749 | import re
current_template = (
'<details>\n'
'<summary>View Terraform Plan</summary>\n\n'
'```terraform\n'
'Output is limited to 1000 lines and may be truncated. See CircleCI for full details.\n'
'{plan}\n'
'```\n'
'</details>\n'
)
previous_templates = [
"```hcl\n{plan}\n```",
]
def r... |
1665751 | from ennemi import estimate_entropy, estimate_mi, pairwise_mi
import numpy as np
from matplotlib import rcParams
import matplotlib.pyplot as plt
import pandas as pd
rcParams["lines.markersize"] = 12
N = 200
week = np.arange(N)
rng = np.random.default_rng(1234)
# The weather is completely determined by temperature, a... |
1665810 | import torch
import torch.nn as nn
import torch_tensorrt.fx.tracer.acc_tracer.acc_ops as acc_ops
from parameterized import parameterized
from torch.testing._internal.common_utils import run_tests
from torch_tensorrt.fx.tools.common_fx2trt import AccTestCase, InputTensorSpec
class TestChunkConverter(AccTestCase):
... |
1665816 | import unittest
from os.path import dirname, join
from pathlib import Path
import numpy as np
from jmetal.core.quality_indicator import GenerationalDistance, InvertedGenerationalDistance, EpsilonIndicator, \
HyperVolume
class GenerationalDistanceTestCases(unittest.TestCase):
""" Class including unit tests fo... |
1665834 | from __future__ import absolute_import
import kodiak.colbuilders as builders
def is_number(s):
try:
complex(str(s))
except ValueError:
return False
return True
class ComposerTransform(object):
def __init__(self, transforms):
"""
Arguments:
transforms: a l... |
1665844 | import numpy as np
import matplotlib.pyplot as plt
import astropy.io.fits as fits
import os
import poppy
from .main import GeminiPrimary
# Classes for dealing with AO Telemetry sets
class GPI_Globals(object):
""" Container for same constants as gpilib's gpi_globals,
with same variable names to ease porting o... |
1665867 | from __future__ import annotations
import contextlib
import sys
import traceback
from typing import Generator
from typing import NoReturn
class MyCustomError(RuntimeError):
pass
def g() -> NoReturn:
raise AssertionError('hi')
def f() -> NoReturn:
g()
@contextlib.contextmanager
def simulate_running(... |
1665906 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import yfinance as yf
from pandas_datareader import data as pdr
import xlsxwriter
import requests
from yahoo_fin import stock_info as si
import pickle
import bs4 as bs
# You need to change this to a convenient spot on your own... |
1665978 | import os
import math
from functools import singledispatch
from typing import overload, Union
import numba
import numpy as np
from .util import (
TempFileHolder,
glue_csv,
glue_hdf,
glue_parquet,
parse_csv,
parse_hdf,
parse_parquet,
_parallel_argsort,
)
try:
import pandas as pd
... |
1666011 | from datetime import datetime, timedelta
from typing import Dict
from django.utils import timezone
from django.contrib.auth.decorators import login_required
from django.views.generic.edit import DeleteView
from django.urls import reverse_lazy
from django.db.models import Q
from django.http import HttpRequest, HttpResp... |
1666042 | import re
from typing import Pattern, Union
def escape(string: str) -> str:
return re.escape(string)
def is_match(string: str, pattern: str) -> bool:
return re.match(pattern, string) is not None
def replace(reg: Union[str, Pattern], input: str, replacement: str) -> str:
if isinstance(reg, str):
... |
1666045 | import numpy as np
import pdb
import ad3.factor_graph as fg
import time
def test_random_instance(n):
costs = np.random.rand(n)
budget = np.sum(costs) * np.random.rand()
scores = np.random.randn(n)
tic = time.clock()
x_gold = solve_lp_knapsack_lpsolve(scores, costs, budget)
toc = time.clock()
print 'lp... |
1666056 | import networkx as nx
from gremlin_python.process.graph_traversal import in_, coalesce, constant, select
from gremlin_python.process.traversal import T, P, Column
from nepytune import drawing
def query_website_node(g, website_id):
return g.V(website_id).valueMap(True).toList()[0]
def query_transient_nodes_for_... |
1666128 | class AutoRepr:
"""Simple, generic __repr__ for all class properties, sans those that start with underscores"""
def __repr__(self):
items = ("%s = %r" % (k, v) for k, v in self.__dict__.items() if not k.startswith('_'))
return "<%s: {%s}>" % (self.__class__.__name__, ', '.join(items)) |
1666173 | from PIL import Image
import collections
import glob
import sys
#n = 1
#for i in glob.glob('p/*.jpg'):
#img = Image.open(i)
def jo(filename):
#读取字库
fonts = []
for i in glob.glob('pp/*.png'):
fonts.append((i.replace('pp/','').replace('.png',''),Image.open(i).load()))
#print(fonts[0][1])
img = Image.open(filena... |
1666203 | from mypy.plugin import MethodContext
from mypy.types import TupleType, UninhabitedType
from classes._registry import INVALID_ARGUMENTS_MSG # noqa: WPS436
from classes.contrib.mypy.typeops.instance_context import InstanceContext
def check_type(
instance_context: InstanceContext,
) -> bool:
"""
Checks th... |
1666208 | class Handler:
"""Base Handler class"""
def deploy(self, sourceUrl=None, entrypoint=None):
raise NotImplementedError("deploy")
def destroy(self):
raise NotImplementedError("destroy")
def __call__(self, request, context=None):
raise NotImplementedError("__call__")
def __ad... |
1666247 | from panorama import Panaroma
import imutils
import cv2
#Take picture from folder like: Hill1 & Hill2, scene1 & scene2, my1 & my2, taj1 & taj2, lotus1 & lotus2, beach1 & beach2, room1 & room2
print("Enter the number of images you want to concantenate:")
no_of_images = int(input())
print("Enter the image name ... |
1666380 | import numpy as np
from scipy.optimize import check_grad
from value_iter import value_iter
from utils import norm_distr, laplace_distr, printoptions
def compute_g(mdp, policy, p_0, T, d_last_step_list, expected_features_list):
nS, nA, nF = mdp.nS, mdp.nA, mdp.num_features
# base case
G = np.zeros((nS, n... |
1666399 | from .common import StaticTestBase
class FStringTests(StaticTestBase):
def test_format_spec(self):
codestr = """
def f(x: float) -> str:
return f"{x:.2f}"
"""
with self.in_module(codestr) as mod:
f = mod.f
self.assertEqual(f(2.134), "2.13... |
1666454 | import os
import warnings
import numpy as np
import cv2
import create_patch
import caffe
import pdb
def get_patch(bottom_data, c, output_size):
h, w = bottom_data.shape[2:]
patch_img = np.zeros((3, c[4], c[4]))
im_r0 = max(0, c[2]-c[4]/2)
im_c0 = max(0, c[3]-c[4]/2)
im_r1 = min(h, c[2]+c[4]/2)
... |
1666472 | import torch
import torch.nn as nn
import torch.optim as optim
from functools import partial
from .fastai_optim import OptimWrapper
from .learning_schedules_fastai import OneCycle, CosineWarmupLR
def build_optimizer(model, optim_cfg):
if optim_cfg.type == 'adam':
optimizer = optim.Adam(model.parameters(),... |
1666499 | from django.shortcuts import render
def home(request):
return render(request, 'testapp/index.html', {})
|
1666558 | import unittest
import os
from decimal import Decimal
from unittest import mock
from moto import mock_dynamodb2
from iwanttoreadmore.models.vote_history import VoteHistory
from tests.data.data_test_vote_history import (
create_vote_history_table,
create_test_vote_history_data,
)
from tests.helpers import remove... |
1666598 | from .iplot_location import iplot_location
from .iplot_timeseries import iplot_timeseries
from .iplot import iplot
from .iplot_scatter import iplot_scatter
from .iplot_line import iplot_line
from .iplot_data_intervals import iplot_data_intervals
from .iplot_scatter_mapbox import iplot_scatter_mapbox
from .iplot_bar_pol... |
1666605 | from flask import Flask, make_response, request, g, jsonify
import json
import schedule
import medrxiv.get_medrxiv_data as med
import schedule
def do_medrxiv_data():
print("run!")
with open("./key.json", 'r') as f:
keyword = json.loads(f.read())
print(keyword)
data = med.get_list(keyword)
... |
1666623 | import os
import random
import cv2
import numpy as np
import torch
import torchvision.datasets as datasets
import tqdm
from dg_util.python_utils import drawing
from dg_util.python_utils import pytorch_util as pt_util
from dg_util.python_utils.persistent_dataloader import PersistentDataLoader
from sklearn.decomposition... |
1666643 | from collections import Counter, OrderedDict
from itertools import chain
from functools import partial
class OrderedCounter(Counter, OrderedDict):
pass
class OutOfVocabularyError(LookupError):
pass
def _add_special_tokens(tokens, bos=None, eos=None):
tokens = list(tokens)
if bos is not None:
... |
1666651 | class Template(object):
"""
a rudimentary replacement for Jinja2. currently in place
due to a bug with the typing module.
"""
def __init__(self, template_string):
self._template_string = template_string
def render(self, **parameters):
chunks = []
iterator = iter(self._... |
1666667 | import numpy as np
from PySide2.QtCore import Qt
from hexrd.ui.hexrd_config import HexrdConfig
from utils import select_files_when_asked
def test_load_data(qtbot, main_window, default_config_path, default_data_path):
# Prove this gets changed
assert 'GE' not in HexrdConfig().detectors
# Load config fi... |
1666693 | import numpy as np
import random
from numba import jit
def indicator(S, n):
x = np.zeros(n)
x[list(S)] = 1
return x
def sample_live_icm(g, num_graphs):
'''
Returns num_graphs live edge graphs sampled from the ICM on g. Assumes that
each edge has a propagation probability accessible via g[u][v]... |
1666698 | import glob
import logging
import os
import re
import shutil
import time
import torch
import torch.distributed as dist
from apex import amp
from apex.parallel import DistributedDataParallel, convert_syncbn_model
from tqdm import tqdm
from asr import lr_schedulers, metrics, optimizers
from asr.utils.checks import chec... |
1666701 | from setuptools import find_packages, setup
with open("readme.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="diemlib", # Replace with your own username
version="1.1.4",
author="<NAME>",
author_email="<EMAIL>",
description="Python Utilities for DIEM",
license=... |
1666711 | def check_goldbach_for_num(n,primes_set) :
'''gets an even integer- n, and a set of primes- primes_set. Returns whether there're two primes which their sum is n'''
relevant_primes_set={p for p in primes_set if p<n}
for prime in primes_set :
if (n-prime) in relevant_primes_set:
ret... |
1666712 | import os
import infra.basetest
class TestS6Rc(infra.basetest.BRTest):
config = infra.basetest.BASIC_TOOLCHAIN_CONFIG + \
"""
BR2_PACKAGE_S6_RC=y
BR2_TARGET_ROOTFS_CPIO=y
# BR2_TARGET_ROOTFS_TAR is not set
"""
def test_run(self):
img = os.path.join(self.buildd... |
1666734 | from CSIKit.csi.csidata import CSIData
from CSIKit.csi.csiframe import CSIFrame
from CSIKit.csi.frames.iwl import IWLCSIFrame
from CSIKit.csi.csimetadata import CSIMetadata
|
1666739 | from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selen... |
1666758 | import argparse
import asyncio
import csv
import logging
import os
import random
import time
import statistics
import numpy as np
from nepytune.benchmarks.query_runner import get_query_runner
from nepytune.benchmarks.connection_pool import NeptuneConnectionPool
QUERY_NAMES = [
'get_sibling_attrs', 'undecided_use... |
1666775 | import torch
import os
import argparse
import numpy as np
import hparams as hp
from data.utils import parse_path_file
from model.generator.melgan import MelGANGenerator
from .synthesize import Synthesizer
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def load_data(audio_index_path, mel_index... |
1666781 | from .core import Command, Resolvable, EntityRef, SimpleResolve, WorldPos
from .nbt import NBTStorable
from .scoreboard import ScoreRef
from .selector import ScoreRange
class Execute(Command):
def __init__(self, chain):
self.chain = SimpleResolve(*chain._components)
def resolve(self, scope):
... |
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