input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
"unicode": "1f1ee-1f1e9"
},
":flag_ie:": {
"category": "flags",
"name": "ireland",
"unicode": "1f1ee-1f1ea"
},
":flag_il:": {
"category": "flags",
"name": "israel",
"unicode": "1f1ee-1f1f1"
},
":flag_im:": {
"category": "flags",
"name": "isle of man",
"unicode": "1f1ee-1f1f2"
},
":flag_in:": {
"catego... | |
<filename>examples/inducing_points/inducing_points.py
# -*- coding: utf-8 -*-
hlp = """
Comparison of the inducing point selection methods with varying noise rates
on a simple Gaussian Process signal.
"""
if __name__ == "__main__":
import matplotlib
matplotlib.use("Agg")
import sys
reload(sys)
sys.setdefaultencod... | |
<filename>btb_manager_telegram/handlers.py<gh_stars>0
import json
import os
import shutil
import sqlite3
import subprocess
import sys
from configparser import ConfigParser
from telegram import Bot, ReplyKeyboardMarkup, ReplyKeyboardRemove, Update
from telegram.ext import (
CallbackContext,
CommandHandler,
Conversat... | |
<gh_stars>0
#!/usr/bin/env python3
import time as timer
import sys
import logging
from collections import deque
from angr.exploration_techniques import ExplorationTechnique
import psutil
class ToolChainExplorer(ExplorationTechnique):
"""
TODO
"""
def __init__(
self,
simgr,
max_length,
exp_dir,
nameFileShort,... | |
<filename>dataloader.py
# coding:utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import cPickle
import h5py
import os, time, pdb
import numpy as np
import random
import torch
import torch.utils.data as data
import multiproces... | |
resources[index + 1], resources[index]
self.collection.set_dirty(True)
indexes = [index + 1 for index in indexes]
self.update_table(table, resources, indexes)
self.update_ui()
message = "Resource moved" if len(indexes) == 1 else "Resources moved"
self.statusBar().showMessage(message, 5000)
def edit_move_left(s... | |
"""
This code is based on https://github.com/ekwebb/fNRI which in turn is based on https://github.com/ethanfetaya/NRI
(MIT licence)
"""
import numpy as np
import torch
from torch.utils.data.dataset import TensorDataset
from torch.utils.data import DataLoader
import torch.nn.functional as F
from torch.autograd import V... | |
<reponame>DangoMelon/turbo-octo-winner
import datetime
import os
import argopy
import geopandas as gpd
import gsw
import numpy as np
import pandas as pd
import xarray as xr
from argopy import DataFetcher as ArgoDataFetcher
from argopy import IndexFetcher as ArgoIndexFetcher
from dmelon.ocean.argo import build_dl, laun... | |
cmds.nodeType(input_value) == 'multiplyDivide':
new_multi.append(input_value)
if new_multi:
multi = new_multi
if not new_multi:
multi = []
attributes = self._get_message_attribute_with_prefix('multiply')
for attribute in attributes:
input_attr = attr.get_attribute_input('%s.%s' % (self.pose_con... | |
# Copyright (c) MONAI Consortium
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, softwa... | |
import loaddata
import pokemon_regression
import pokemon_stat_analysis
import pokemon_test_are_dragons_taller
import pokemon_normal_dist_and_actual_vals
separator_char = ", "
separator = '---------------------------------------------------------------'
tab: str = "\t"
def do_normal_dist_against_actual_values(options... | |
import requests
import xml.etree.ElementTree as ET
from typing import List
from typing import Union
from datetime import date
from datetime import datetime
from pysec.parser import EDGARParser
# https://www.sec.gov/cgi-bin/srch-edgar?text=form-type%3D%2810-q*+OR+10-k*%29&first=2020&last=2020
class EDGARQuery():
d... | |
appropriately loaded!")
return self.__init_blank_net
@abc.abstractmethod
def remove_before_save(self) -> _TypeBuffer:
raise NotImplementedError("Abstract method!")
@abc.abstractmethod
def reload_after_save(self, data: _TypeBuffer, /) -> None:
raise NotImplementedError("Abstract method!")
# ------------------... | |
if is_zero(Hvec*Vvec + Hconst):
incidence_matrix[Vindex, Hindex] = 1
# A ray or line is considered incident with a hyperplane,
# if it is orthogonal to the normal vector of the hyperplane.
for Vvec, Vindex in Vvectors_rays_lines:
if is_zero(Hvec*Vvec):
incidence_matrix[Vindex, Hindex] = 1
incidence_matrix.set_... |
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