text stringlengths 0 27.1M | meta dict |
|---|---|
subroutine setaux(mbc,mx,my,xlower,ylower,dx,dy,maux,aux)
! Called at start of computation before calling qinit, and
! when AMR is used, also called every time a new grid patch is created.
! Use to set auxiliary arrays aux(1:maux, 1-mbc:mx+mbc, 1-mbc:my+mbc).
! Note that ghost cell values may need to b... | {
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import pygimli as pg
import numpy as np
from settings import fpm
pd = pg.load("paraDomain_1.bms")
resinv = np.loadtxt("res_conventional.dat")
vest = np.loadtxt("vel_conventional.dat")
fae, fie, fwe, maske = fpm.all(resinv, vest)
print(np.min(fwe), np.max(fwe))
np.savez("conventional.npz", vel=np.array(vest), rho=np.a... | {
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import Teams
import collections
import datetime as dt
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from constants import _Const
import dataLoader
CONST = _Const()
teams = {}
fixtures = dataLoader.LoadAllData(dt.datetime.now())
output = open(CONST.OUTPUT_PATH + 'Parameters.tx... | {
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import sys
sys.path.append('../')
import pytest
import LMR_utils as Utils
import numpy as np
@pytest.mark.parametrize("doc", [
"""This is class docstring""",
None])
def test_class_doc_inherit(doc):
class foo:
__doc__ = doc
pass
@Utils.class_docs_fixer
class bar(foo):
pass... | {
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program opkdemo7
c-----------------------------------------------------------------------
c Demonstration program for the DLSODI package.
c This is the version of 14 June 2001.
c
c This version is in double precision.
c
C this program solves a semi-discretized form of the Burgers equation,
c
c u = -(u*u/2) ... | {
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# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
import os
import sys
from lib.utils import pc_util
DUMP_CONF_THRESH = 0.5 # Dump boxes with obj prob larger ... | {
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import os
import random
from typing import List
import numpy as np
import torch
from nobos_commons.data_structures.constants.dataset_part import DatasetPart
from nobos_commons.data_structures.dimension import ImageSize
from nobos_torch_lib.configs.training_configs.training_config_base import TrainingConfigBase
from no... | {
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"""
Octree geometry handler
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, yt Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#------------------... | {
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import config as cf
import numpy as np
import pygame as pg
class Circle:
"""Make a times table calculation."""
def __init__(self, points):
self.points = points
self.radius = cf.RADIUS
def draw(self, screen, factor, pt, lines, circle):
if circle:
pg.draw.circle(
... | {
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function [all_bboxes_out] = localize_bboxes_of_all_imgs(...
model, image_paths, all_bboxes_in, dst_directory, image_set_name, varargin)
% localize_bboxes_of_all_imgs: given a bounding box localization model and
% a set of images with their input candidate bounding boxes, for each
% image it predicts new bounding ... | {
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Usage: ./datprint <img>
Options:
-h --help Show this message
"""
from __future__ import print_function
from dat2bmp import read
if __name__ == '__main__':
import numpy as np
from docopt import docopt
args = docopt(__doc__)
img = np.array(re... | {
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# Introduction to Geometric Algebra
Below I will try to motivate the case for Geometric Algebra (GA) using rotation of vectors in various spaces and compare to the other most common approaches.
(Source: https://commons.wikimedia.org/wiki/File:Counterclockwise_rotation.png)
Prerequisites
- Rotation matrices: good to... | {
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import cv2 as cv
import sys
import math
import numpy as np
from time import time
import image_utils as imutils
import Condensation as cons
#OpenCV default trackers begin
class boostingTracking:
def __init__(self, frame, bbox):
self.tracker = cv.TrackerBoosting_create()
self.tracker.init(frame, bb... | {
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"""Module contains Methods used for figuring out which/how many factors to retain
"""
import numpy as np
from fa_kit.broken_stick import BrokenStick
def retain_top_n(vals, num_keep):
"""Retain the top N largest components"""
if num_keep < 1:
raise ValueError(
"Must select num_keep >= 1 w... | {
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# This file is part of the OLD Sage notebook and is NOT actively developed,
# maintained, or supported. As of Sage v4.1.2, all notebook development has
# moved to the separate Sage Notebook project:
#
# http://nb.sagemath.org/
#
# The new notebook is installed in Sage as an spkg (e.g., sagenb-0.3.spkg).
#
# Please vis... | {
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#! /usr/bin/env python
import os
import argparse
import json
import cv2
from utils.utils import get_yolo_boxes
from utils.colors import get_color
from keras.models import load_model
import numpy as np
import glob
from lxml import etree as ET
def _main_(args):
config_path = args.conf
with open(... | {
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""" Collection of novelty-based metrics """
from collections import defaultdict
import os
import matplotlib.pyplot as plt
import numpy as np
from reclist.current import current
def gini_index_at_k(y_preds, candidate_list, k: int=10, debug: bool=False) -> float:
no_items = len(set(candidate_list))
all_preds ... | {
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# !/usr/bin/python3
# -*-coding utf-8 -*-
# @Time : 2021/06/11 10:59
# @Author : Francisco Muñoz
# @Project : evolution_of_species
# @File : validators.py
# @Software : PyCharm
from abc import ABC, abstractmethod
import numpy as np
_SET_A_COPY = False
_GET_A_COPY = True
def validate_index(item):
"""... | {
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import os
import json
import numpy as np
from keras.utils import Sequence
from .utils import get_datetime_now
from .utils import string2shape
from .utils import shape2string
from .utils import timesequence_generator
from .utils import create_one_hots_from_labels
from .utils import one_hot_encode
from .waves import Wave... | {
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# pylint: disable=missing-docstring
import os
import shutil
import tqdm
import numpy as np
from pycocotools.coco import COCO
from coco.label import coco91_labels
def coco91_to_yolo_id(yolo_names_file, coco_labels=coco91_labels()):
coco_names = np.array(coco_labels)
y... | {
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using Yao
using QuDiffEq
using LinearAlgebra
using BitBasis
using Random
using Test
using YaoBlocks
using OrdinaryDiffEq
#Linear Diff Equation Unitary M
function f(du,u,p,t)
du[1] = -3*u[1]^2 + u[2]
du[2] = -u[2]^2 - u[1]*u[2]
end
@testset "QuNLDE_Test" begin
Random.seed!(4)
N = 2
k = 3
siz = n... | {
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SUBROUTINE MF_INTROE
c***********************************************************************
c This routine interpolates values of the elements of the magneto-
c ionic reflection matrix. Entry INIT OE determines the coefficients
c for the interpolation series if this kind of interpolation can be
c ... | {
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# Import only
import pandas as pd
import pdb
from sklearn.model_selection import train_test_split
import numpy as np
import matplotlib.pyplot as plt
from sklearn.externals import joblib
import seaborn as sns
from a_detection import AnomalyDetection
from feature_analysis import FeatureAnalysis
from sklearn.feature_extra... | {
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from __future__ import division
import mxnet as mx
import numpy as np
import cv2
__all__ = ['FaceGenderage', 'genderage_v1', 'get_genderage']
class FaceGenderage:
def __init__(self, name, download, param_file):
self.name = name
self.download = download
self.param_file = param_file
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import os
import numpy as np
import pytest
from napari_svg import napari_get_writer
from napari.layers import Image, Labels, Points, Shapes, Vectors
@pytest.fixture
def layer_data_and_types():
np.random.seed(0)
layers = [
Image(np.random.rand(20, 20)),
Labels(np.random.randint(10, ... | {
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/*=============================================================================
Copyright (c) 2009 Hartmut Kaiser
Copyright (c) 2014 Joel de Guzman
Distributed under the Boost Software License, Version 1.0. (See accompanying
file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
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# -*- coding: utf-8 -*-
# @version : Python3.6
# @Time : 2017/4/30 15:48
# @Author : Jianyang-Hu
# @contact : jianyang1993@163.com
# @File : optfit_0430.py
# @Software: PyCharm
from matplotlib.finance import _quotes_historical_yahoo
import numpy as np
import matplotlib.pyplot as plt
from scipy import fftpack
fr... | {
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import math
import typing
import mesh_tensorflow as mtf
import numpy as np
import tensorflow as tf
from .backend import normal_var, orthogonal_var
from .. import tf_wrapper as tfw
from ..dataclass import BlockArgs, ModelParameter
from ..mtf_wrapper import einsum, reshape, multiply, zeros_like
from ..utils_core import... | {
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import os
import sys
import shutil
import numpy as np
import time, datetime
import torch
import glob
import random
import logging
import argparse
import torch.nn as nn
import torch.utils
import torchvision.datasets as dset
import torchvision.transforms as transforms
import torch.backends.cudnn as cudnn
from torch.autog... | {
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theorem impNot {p q : Prop} : p → ¬ q ↔ ¬ (p ∧ q) :=
⟨ λ hpq h => hpq h.1 h.2, λ h hp hq => h <| And.intro hp hq ⟩
theorem Exists.impNot {p q : α → Prop} : (∃ x, p x → ¬ q x) ↔ ∃ x, ¬ (p x ∧ q x) := by
apply Iff.intro
intro h
cases h with | intro x hx =>
{ exact ⟨ x, λ hs => hx hs.1 hs.2 ⟩ }
intro h
... | {
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# Possible operators to add if we use block object
# On(x,y) means block x is on top of block y
# OnTable(x) --- block x is on the table
# Clear(x) --- nothing is on top of block x
# Holding(x) --- robot arm is holding block x
# ArmEmpty() --- robot arm/hand is not holding anything (block in this world)
# How complex ... | {
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[STATEMENT]
lemma quotient_map_imp_continuous_closed:
assumes T: "f ` S \<subseteq> T"
and ope: "\<And>U. U \<subseteq> T
\<Longrightarrow> (closedin (top_of_set S) (S \<inter> f -` U) \<longleftrightarrow>
closedin (top_of_set T) U)"
shows "continuous_on S f"
[PROOF... | {
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[STATEMENT]
lemma infer_v_g_weakening:
fixes e::e and \<Gamma>'::\<Gamma> and v::v
assumes "\<Theta>; \<B> ; \<Gamma> \<turnstile> v \<Rightarrow> \<tau>" and "toSet \<Gamma> \<subseteq> toSet \<Gamma>'" and "\<Theta> ; \<B> \<turnstile>\<^sub>w\<^sub>f \<Gamma>'"
shows "\<Theta>; \<B> ; \<Gamma>' \<turnstil... | {
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##############
#
# This example demonstrates the basics of using `equinox.jitf` and `equinox.gradf`.
#
# Here we'll use them to facilitate training a simple MLP: to automatically take gradients and jit with respect to
# all the jnp.arrays constituting the parameters. (But not with respect to anything else, like the cho... | {
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import operator
import logging
import numpy as np
from ..core.slot import SlotDescriptor
from .module import TableModule
from ..core.bitmap import bitmap
from .table import Table
logger = logging.getLogger(__name__)
ops = {"<": operator.__lt__,
"<=": operator.__le__,
">": operator.__gt__,
... | {
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import torch
import torch.nn as nn
from attention import Attention, NewAttention
from language_model import WordEmbedding, QuestionEmbedding
from classifier import SimpleClassifier
from fc import FCNet
import torch.nn.functional as F
import torchvision as tv
import utils
import numpy as np
def l2norm(X):
"""L2-nor... | {
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import numpy as np
import tensorflow as tf
import cv2
def get_result(img):
# tf.gfile = tf.io.gfile
mnist_model = tf.saved_model.load(r'model\mnist')
print(mnist_model.signatures['serving_default'].inputs)
print(mnist_model.signatures['serving_default'].output_dtypes)
print(mnist_model.signatu... | {
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from PyQt5.QtGui import QImage, QColor
import sympy as sp
def tand(x):
return sp.tan(x * sp.pi / 180)
def sind(x):
return sp.sin(x * sp.pi / 180)
def cosd(x):
return sp.cos(x * sp.pi / 180)
def invert(qImage) :
rgb_im_inverse = qImage.copy()
width = qImage.width()
y = 0
while y < qImage.... | {
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from kinematicEnv import KinematicEnv
from QL import QL
from upDDPG import DDPG as uDDPG
import tensorflow as tf
from bottomDDPG import DDPG as bDDPG
import numpy as np
env = KinematicEnv()
s_dim = env.state_dim
a_dim = env.action_dim
a_bound = env.action_bound
g1 = tf.Graph()
isess1 = tf.Session(graph=g1)
with g1.as_... | {
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c bad-flag specified spectral regions in the array
c blankoutsky2 takes out the B-band as well as 5577 and the A-band
c could also blank locations of possible strong em lines, mostly
c 3727 and 5007, if we are using this for abs line fits. Or use
c selectabsregions to exclude those.
c blankoutlines is directly fr... | {
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"""
examples/pong.py
Copyright (c) 2020, Nir Aides - nir@winpdb.org
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
... | {
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C
C $Id: mstrms.f,v 1.4 2008-07-27 00:17:31 haley Exp $
C
C Copyright (C) 2000
C University Corporation for Atmospheric Research
C All Rights Reserved
C
C The use of this Software is governed by a License Agreeme... | {
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[STATEMENT]
lemma COND_terms_hf:
assumes "hf_valid ainfo uinfo hfs hf" and "HVF hf \<in> ik" and "no_oracle ainfo uinfo" and "hf \<in> set hfs"
shows "\<exists>hfs. hf \<in> set hfs \<and> (\<exists>uinfo' . (ainfo, hfs) \<in> auth_seg2 uinfo')"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. \<exists>hfs. hf \<... | {
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Require Import List Arith.
Import ListNotations.
Require Import core.
Notation eqdec := eq_nat_dec.
Require Import Lia.
Module renSubst.
Notation upT vs := (0 :: vs).
(* Inductive fin : list nat -> Type := *)
(* | finO : fin [0] *)
(* | finS : forall l, fin l -> fin (List.map S l) *)
(* | finU : forall l, ... | {
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#include <iostream>
#include <cstdlib>
#include <boost/uuid/uuid.hpp>
#include <boost/uuid/uuid_generators.hpp>
#include <boost/uuid/uuid_io.hpp>
#include <EditorWindow.hpp>
#include <ApplicationController.hpp>
#include <CRDTManager.hpp>
#include <VersionVector.hpp>
#include <CustomMessageException.hpp>
std::string gen... | {
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\chapter{B Chapter}
\lipsum[1] \ref{fig:frogger}\ref{fig:froggerr}.
\begin{figure}
\centering
\caption{\label{fig:frogger}Another instance of the frog.}
\includegraphics[width=0.3\textwidth]{frog.jpg}
\end{figure}
\begin{figure}
\centering
\caption{\label{fig:froggerr}And a third one.}
\includ... | {
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Network Graphs in R
We are using the well-known social network of Zachary's karate club. GML format file can be collected from here.
read graph file and update layout
library(igraph)
library(plotly)
G <- read.graph("karate.gml", format = c("gml"))
L <- layout.circle(G)
vertices and edges for the graph
... | {
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'''
---------------------------
Licensing and Distribution
---------------------------
Program name: Q2DTor
Version : 2020.1
License : MIT/x11
Copyright (c) 2020, David Ferro Costas (david.ferro@usc.es) and
Antonio Fernandez Ramos (qf.ramos@usc.es)
Permission is hereby granted, free of charge, to any perso... | {
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#!/usr/bin/env python3
# encoding: utf-8
"""
Copyright (c) 2021, salesforce.com, inc.
All rights reserved.
SPDX-License-Identifier: BSD-3-Clause
For full license text, see the LICENSE file in the repo root or https://opensource.org/licenses/BSD-3-Clause
"""
# Copyright 2017 Johns Hopkins University (Shinji Watanabe)
... | {
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"""The goedesic datasets in this folder provide even coverage over a sphere.
Sometimes a more dense coverage is required in some part of the sphere.
In such a case a composite file with extracts from several of the
geodesic data files can be made.
For example, suppose more dense coverage is required in a cone around ... | {
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#!/usr/bin/env python
"""Compute summary statistics of data files.
Computes summary statistics of data files such as the number of samples or the
mean and variance of output variables.
Examples
--------
.. code:: bash
dcpg_data_stats.py
./data/*.h5
"""
from __future__ import print_function
from __futu... | {
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# -*- coding: utf-8 -*-
"""
Created on Tue May 26 14:23:18 2020
@author: Thaileng_GIC
"""
#import csv
import pandas as pd
#import numpy as np
season = ['-dry-2017', '-wet-2017', '-dry-2018', '-wet-2018']
for b in season:
for a in range (1,2):
data1=pd.read_csv('../Extract_CSV/Parameteriz... | {
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if (!interactive())
{
suppressMessages(getPass:::readline_nomask("asdf", noblank=FALSE))
}
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... |
module multibox
use fft_work, only: fft_type
implicit none
public :: read_multibox_parameters
public :: init_multibox
public :: finish_multibox
public :: multibox_communicate
public :: init_mb_get_phi
public :: mb_get_phi
public :: communicate_multibox_parameters
public :: add_multibox_krook
pu... | {
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from astropy import units as u
from astropy.coordinates import FK5, Galactic
def fk52gal(ra, dec):
c = FK5(ra * u.deg, dec * u.deg)
out = c.transform_to(Galactic())
return out.l.degree, out.b.degree
def gal2fk5(l, b):
c = Galactic(l * u.deg, b * u.deg)
out = c.transform_to(FK5())
return out.... | {
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# ---
# title: 480. Sliding Window Median
# id: problem480
# author: Indigo
# date: 2021-02-03
# difficulty: Hard
# categories: Sliding Window
# link: <https://leetcode.com/problems/sliding-window-median/description/>
# hidden: true
# ---
#
# Median is the middle value in an ordered integer list. If the size of the li... | {
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from ms2ldaviz.celery_tasks import app
from django.db import transaction
import numpy as np
import pandas as pd
from keras.models import load_model
from basicviz.models import Document, FeatureInstance
from annotation.models import SubstituentTerm, SubstituentInstance
@app.task
def predict_substituent_terms(expe... | {
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"include": true,
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from src.vehicle import Vehicle
from src.visualiser import Vis
from src.track import TrackHandler
from src.ga import GeneticAlgorithm
from src.ga import IslandGA
from src.lidar import Lidar
from sandbox.game_pad_inputs import GamePad
import numpy as np
from time import sleep
import time
import multiprocessing
from jobl... | {
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#include "Cache.hpp"
#include "Sha256.hpp"
#include <fstream>
#include <streambuf>
#include <boost/filesystem/operations.hpp>
SourceCache::SourceCache(std::string const & path, std::string const & targetName)
: m_cacheFileName(path + "/" + targetName + ".gen_cache")
{
}
SourceCache::~SourceCache()
{
}
void Sourc... | {
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import pygame
import datetime
import numpy as np
class Display:
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
DARKGREEN = (0, 155, 0)
DARKGRAY = (40, 40, 40)
BGCOLOR = BLACK
BLACK = (0,0,0)
text_surface_height = 20
def __init__(self, window_wi... | {
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'''
Code Author: Siyun WANG
'''
from EMST import * # git repo: https://github.com/ChatCatKatzeNeko/EMST
import numpy as np
import scipy
class EMSTBasedClustering():
def __init__(self, emst):
'''
emst: EMST object
'''
self.emst = emst
self.nbVertices = self.emst.nbVertices... | {
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import numpy as np
import matplotlib.pyplot as plt
import mplhep as hep
plt.switch_backend("agg")
plt.rcParams.update({"font.size": 16})
plt.style.use(hep.style.CMS)
def plot_part_feats(
jet_type,
real_jets,
gen_jets,
real_mask=None,
gen_mask=None,
coords="polarrel",
name=None,
figs_p... | {
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# import numpy as np
# r= [1.0,1.0,1.0,-1.0,1.0,1.0]
# gamma = 0.5
#
# r = np.array(r)
# discounted_r = np.zeros_like(r)
# running_add = 0
# # we go from last reward to first one so we don't have to do exponentiations
# for t in reversed(range(0, r.size)):
# if r[t] != 0:
# running_add = 0 # if the game end... | {
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[STATEMENT]
lemma l2_inv2_init [iff]:
"init l2 \<subseteq> l2_inv2"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. init l2 \<subseteq> l2_inv2
[PROOF STEP]
by (auto simp add: l2_def l2_init_def l2_inv2_def) | {
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# -*- coding: utf-8 -*-
"""
Created on Tue Jul 24 14:17:51 2018
def backward_calc(self,ic,num_compartments,target_conc = 1,target_emiss = 1):
@author: Tim Rodgers
"""
import numpy as np
import pandas as pd
num_compartments = 7
target_emiss = 1
target_conc = 3
#Initialize outputs
col_name = pd.Series(index = range(num_... | {
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C
C $Id: pcsetc.f,v 1.15 2008-07-27 00:17:20 haley Exp $
C
C Copyright (C) 2000
C University Corporation for Atmospheric Research
C All Rights Reserved
C
C The use of this Software is governed by a License Agreem... | {
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[STATEMENT]
lemma unit_counit_G:
assumes "C.ide x"
shows "G x = G (\<epsilon>o x) \<cdot>\<^sub>D \<eta>o (G x)"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. G x = G (\<epsilon>o x) \<cdot>\<^sub>D \<eta>o (G x)
[PROOF STEP]
using assms \<phi>_in_terms_of_\<eta>o \<epsilon>o_def \<phi>_\<psi> \<epsilon>o_i... | {
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"""Embed text of list of tesxts."""
from typing import List, Union
import more_itertools as mit
# import numpy as np
from logzero import logger
from alive_progress import alive_bar
from fetch_embed import fetch_embed
# fmt: off
def embed_text(
text: Union[str, List[str]],
chunk_size: int = 32,
livepbar... | {
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import os, sys, time
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import math
import sys
import os
import pickle
import logging
import coloredlogs
import numpy as np
from codetiming import Timer
from datetime import datetime
import inspect
import json
from ast import literal_eval
import ma... | {
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# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
#
# Description
# ==============================================================================
#
# Functions to process and print the table title.
#
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
"""
... | {
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import numpy as np
import sys
import os
#import faiss
import time
from tsnecuda import TSNE
from sklearn.datasets import make_classification
num_points = int(sys.argv[1])
num_dims = int(sys.argv[2])
sep = int(sys.argv[3])
k = int(sys.argv[4])
option = int(sys.argv[5])
reorder = int(sys.argv[6])
num_clusters = int(s... | {
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# test neutral_models
context("neutral model functions")
test_that("calculating expected K for a population in a WFIA model works", {
n <- 2000
t <- 20
observed <- expected_k_pop(n,t)
expected <- 81.2528
expect_equal(expected, observed, tolerance=0.1)
}) | {
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[STATEMENT]
lemma ivp_solsD:
assumes "X \<in> Sols f U S t\<^sub>0 s"
shows "D X = (\<lambda>t. f t (X t)) on U s" and "X t\<^sub>0 = s"
and "X \<in> U s \<rightarrow> S" and "t\<^sub>0 \<in> U s"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. ( D X = (\<lambda>t. f t (X t)) on U s &&& X t\<^sub>0 = s) &&& ... | {
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#!/usr/bin/python
from ctwc__common import *
import numpy as np
INITIALIZED = False
PLOT_RAW_FILE = RESULTS_PATH+'plot_raw-{0}.pklz'
PLOT_MAT_RAW_FILE = RESULTS_PATH+'plot_raw_mat-{0}.npz'
PLOT_PNG_FILE = RESULTS_PATH+'plot-{0}.png'
SHOW_ON_SCREEN = False
def plot_mat(mat, xlabel=None, ylabel=None, header=None):
... | {
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import numpy as np
from sklearn.manifold import Isomap
from vx.com.py.projection.Projection import *
class LDA(Projection):
def __init__(self, X=None, p=2):
super().__init__(X,p)
def execute(self):
#X = self.X
X = np.array(self.X)
X2 = Isomap(n_components=self.p).fit_transfo... | {
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# Gross-Nevue ground state using DMRG
include("Schollwock.jl")
using DelimitedFiles
using Plots
using LsqFit
using DataFrames
using CSV
function Hss(m₀::Float64,g₀::Float64,r::Float64,n::Int;ϵ=0.0)
a = 1.0/(n+1)
a⁺ = [0.0 0.0;
1.0 0.0]
a⁻ = [0.0 1.0;
0.0 0.0]
Z = [1.0 0.0;
... | {
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from flask import Blueprint, render_template, redirect, url_for, request, flash, abort, make_response, Response
import os
from .import db
from .models import Iron
from .models import User
from werkzeug.utils import secure_filename
from flask_login import login_required, current_user
import pdfkit
import numpy as np
fro... | {
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c =======================================================
subroutine src2(maxmx,maxmy,meqn,mbc,mx,my,xlower,ylower,
& dx,dy,q,maux,aux,t,dt,Rsphere)
c =======================================================
c
c
c # Compute source term for Rossby-Haurwitz wave.
c # The sourc... | {
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(* Copyright (c) 2012-2015, Robbert Krebbers. *)
(* This file is distributed under the terms of the BSD license. *)
Require Export types integer_operations.
Local Open Scope ctype_scope.
Local Unset Elimination Schemes.
Class Env (K : iType) : iType := {
env_type_env :> IntEnv K;
size_of : env K → type K → nat;
... | {
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! *********************************************************************
! * *
! * function dcvaa3 *
! * *
! *********************... | {
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"max_f... |
# 可视化中间输出
from keras.models import load_model
import matplotlib.pyplot as plt
from keras import models
import numpy as np
from keras.preprocessing import image
model = load_model('cats_dogs.h5') # 加载之前保存的卷积模型
# 预处理单张图片
img = image.load_img('./cats.jpg', target_size=(150, 150))
img_tensor = image.img_to_array(img)
im... | {
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using Gtk, Cairo, ColorTypes
function generategrays(n, screenwidth)
verts = Vector{RGB}()
hwidth = Int(ceil(screenwidth/n))
for x in 00:Int(floor(0xff/(n-1))):0xff
rgbgray = RGB(x/255, x/255, x/255)
for i in 1:hwidth
push!(verts, rgbgray)
end
end
verts
end
funct... | {
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[STATEMENT]
lemma "\<exists>x. f x = g x \<longrightarrow> f = g"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. \<exists>x. f x = g x \<longrightarrow> f = g
[PROOF STEP]
refute [maxsize = 4, expect = none]
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. \<exists>x. f x = g x \<longrightarrow> f = g
[PROOF STEP]
... | {
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[STATEMENT]
lemma mem_val_w32_8_mem_equal:
assumes a1: "mem_equal s1 s2 a"
shows "mem_val_w32 8 a s1 = mem_val_w32 8 a s2"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. mem_val_w32 8 a s1 = mem_val_w32 8 a s2
[PROOF STEP]
apply (simp add: mem_val_w32_def)
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. (let addr... | {
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#include "utf.h"
#define BOOST_UTF8_BEGIN_NAMESPACE namespace utf { namespace detail {
#define BOOST_UTF8_END_NAMESPACE }}
#define BOOST_UTF8_DECL
#include "detail/utf8_codecvt_facet.hpp"
#include "detail/utf8_codecvt_facet.cpp"
#undef BOOST_UTF8_DECL
#undef BOOST_UTF8_END_NAMESPACE
#undef BOOST_UTF8_BEGIN_NAMESPACE... | {
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module caf_co_sum_test
use caffeine_m, only : caf_co_sum, caf_num_images, caf_this_image
use vegetables, only: result_t, test_item_t, assert_equals, describe, it, assert_that, assert_equals, succeed
implicit none
private
public :: test_caf_co_sum
contains
function test_caf_co_sum() result(test... | {
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{-# language FlexibleContexts #-}
{-# language GADTs #-}
{-# language ScopedTypeVariables #-}
{-# language TypeApplications #-}
module Verify where
import Feldspar
import Feldspar.Software
import Feldspar.Software.Verify
import Feldspar.Array.Vector
import Feldspar.Array.Buffered
import Data.Bits (Bits)
import Data.... | {
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[STATEMENT]
lemma "e1.hf_valid ainfo uinfo hfBl (Some hfAl)"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. e1.hf_valid (Num 0) 1 hfBl (Some hfAl)
[PROOF STEP]
apply (auto simp add: e1.hf_valid_invert hfAl_def hfBl_def)
[PROOF STATE]
proof (prove)
goal (2 subgoals):
1. Ex (d0.ASIF (Some nB))
2. Ex (d0.ASIF None)
[... | {
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\documentclass[12pt]{amsart}
\usepackage{geometry} % see geometry.pdf on how to lay out the page. There's lots.
\geometry{a4paper} % or letter or a5paper or ... etc
% \geometry{landscape} % rotated page geometry
\usepackage{listings}
\usepackage{hyperref}
\lstnewenvironment{code}{\lstset{language=Haskell,basicstyle=\sm... | {
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function csqrt(z1)
complex csqrt, z1, z2
dimension dummy(2)
equivalence (a,z2,dummy(1)), (b,dummy(2))
z2 = z1
c = cabs(z2)
c = sqrt(c)
b = atan2(b, a)/2.0
a = c*cos(b)
b = c*sin(b)
csqrt = z2
return
end
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(*************************************************************************
* Copyright (C)
* 2019-2022 The University of Exeter
* 2018-2022 The University of Paris-Saclay
* 2018 The University of Sheffield
*
* License:
* This program can be redistributed and/or ... | {
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import sys
import unittest
import numpy
import ideep4py
from ideep4py import intVector, mdarrayVector, concat
try:
import testing
except Exception as ex:
print('*** testing directory is missing: %s' % ex)
sys.exit(-1)
@testing.parameterize(*testing.product_dict(
[
{'shape': (7, 2, 3, 5), 'ax... | {
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"include": true,
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"max_for... |
Require Import
Fiat.BinEncoders.Env.Common.Notations
Fiat.BinEncoders.Env.Common.Specs
Fiat.BinEncoders.Env.Common.ComposeOpt.
Require Export
Coq.Lists.List.
Notation "| ls |" := (Datatypes.length ls) : binencoders_scope.
Section FixList.
Context {A : Type}.
Context {B : Type}.
C... | {
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from grpc.beta import implementations
import numpy as np
import tensorflow as tf
from tensorflow_serving.apis import predict_pb2
from tensorflow_serving.apis import prediction_service_pb2
hostport = 'localhost:9000'
def do_prediction(hostport):
# Create connection
host, port = hostport.split(':')
channel = im... | {
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#!/usr/bin/python
'''
Learning Machines
Taught by Patrick Hebron at NYU ITP
MNIST dataset helpers.
'''
import os
import gzip
import pickle
import numpy as np
def mnist_encode_one_hot_label(idx):
'''MNIST one-hot encoder function'''
enc = np.zeros( 10 )
enc[ idx ] = 1.0
return enc
def mnist_decode_one_hot_label... | {
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"max_for... |
[STATEMENT]
lemma mcont2mcont_tset [THEN lfp.mcont2mcont, cont_intro]:
shows mcont_tset: "mcont tSup tllist_ord Union (\<subseteq>) tset"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. mcont local.tSup local.tllist_ord \<Union> (\<subseteq>) tset
[PROOF STEP]
including tllist.lifting
[PROOF STATE]
proof (prove)
go... | {
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function exportDVHData(command)
%GUI to export a DVH data file starting with a DVH plot of one or more VOI's.
%VOI's must be renamed to agree with a standard list stored in optS.defaultVOINames.
%DVH data may then be exported to a delimited text file.
%
%KU 04/14/2006
%
% Copyright 2010, Joseph O. Deasy, on behalf of ... | {
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[STATEMENT]
lemma distinguished_bounded_support:
assumes "x distinguishes P from Q"
obtains y where "supp y \<subseteq> supp P" and "y distinguishes P from Q"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. (\<And>y. \<lbrakk>supp y \<subseteq> supp P; y distinguishes P from Q\<rbrakk> \<Longrightarrow> thesi... | {
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[STATEMENT]
lemma not_ide_fromArr:
shows "\<not> ide (fromArr x)"
[PROOF STATE]
proof (prove)
goal (1 subgoal):
1. \<not> ide (fromArr x)
[PROOF STEP]
using fromArr_def ide_char ide_def Zero_def One_def
[PROOF STATE]
proof (prove)
using this:
fromArr ?x \<equiv> if ?x \<in> Arr then MkArr False True [?x] else null... | {
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theory "Ids"
imports Complex_Main
"HOL-Library.Code_Target_Int"
"Syntax"
begin
(*Differential dynamic logic can be defined for any finite types, given a
few elements of those types (so that we can generate axioms). *)
(*locale ids =
fixes vid1 :: ident
fixes vid2 :: ident
fixes vid3 :: ident
fixes i... | {
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