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import ctypes | |
libfive = ctypes.cdll.LoadLibrary('build/libfive/src/libfive.dylib') | |
libfive.libfive_tree_x.restype = ctypes.c_void_p | |
libfive.libfive_tree_y.restype = ctypes.c_void_p | |
libfive.libfive_tree_delete.argtypes = [ctypes.c_void_p] | |
libfive.libfive_tree_binary.argtypes = [ctypes.c_int, ctypes.c_void_p, ctypes.c_void_p] |
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use std::str::FromStr; | |
#[macro_use] extern crate nom; | |
use nom::types::CompleteByteSlice; | |
#[macro_use] extern crate itertools; | |
use std::collections::HashMap; | |
/* |
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#[derive(Debug)] | |
struct Tree { | |
nodes: Vec<Tree>, | |
metadata: Vec<usize>, | |
} | |
impl Tree { | |
fn from_iter<I>(s: &mut I) -> Self | |
where I: Iterator<Item=usize> | |
{ |
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use std::io::{self, Read}; | |
use std::iter; | |
use std::collections::VecDeque; | |
use std::collections::HashSet; | |
#[derive(PartialEq, Copy, Clone, Debug)] | |
enum Race { | |
Elf, | |
Goblin | |
} |
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; ModuleID = 'main.cpp' | |
source_filename = "main.cpp" | |
target datalayout = "e-m:o-i64:64-f80:128-n8:16:32:64-S128" | |
target triple = "x86_64-apple-macosx10.13.0" | |
%"class.std::__1::unordered_set" = type { %"class.std::__1::__hash_table" } | |
%"class.std::__1::__hash_table" = type <{ %"class.std::__1::unique_ptr", %"class.std::__1::__compressed_pair.4", %"class.std::__1::__compressed_pair.9", %"class.std::__1::__compressed_pair.11", [4 x i8] }> | |
%"class.std::__1::unique_ptr" = type { %"class.std::__1::__compressed_pair" } | |
%"class.std::__1::__compressed_pair" = type { %"struct.std::__1::__compressed_pair_elem", %"struct.std::__1::__compressed_pair_elem.0" } | |
%"struct.std::__1::__compressed_pair_elem" = type { %"struct.std::__1::__hash_node_base"** } |
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DEPTH = 15 | |
a, b = 'X', 'Y' | |
for i in range(DEPTH): | |
a, b = ('(pow(%s,2) - pow(%s,2) + X)' % (a, b), | |
'(2*%s*%s + Y)' % (a, b)) | |
# Render boundaries | |
cad.xmin = -2.2 |
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# Sage code to generate NACA airfoil equations | |
import operator | |
var('x, y, xc, m, p') | |
def run(y_chord): | |
g_chord = vector([1, derivative(y_chord(xc), xc)]) | |
pos_pt = vector([x, y]) | |
pos_chord = vector([xc, y_chord(xc)]) | |
delta = pos_pt - pos_chord |
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Minimize in: ore_in | |
Subject to | |
KHKGT: - 5 eqn2 + 8 eqn8 >= 0 | |
NZVS: + 5 eqn0 - 29 eqn2 - 7 eqn8 >= 0 | |
ORE: - 157 eqn0 - 165 eqn1 - 179 eqn4 - 177 eqn5 - 165 eqn7 + ore_in >= 0 | |
DCFZ: + 6 eqn1 - 7 eqn6 - 3 eqn8 >= 0 | |
HKGWZ: - 48 eqn2 - 12 eqn3 + 5 eqn5 - 5 eqn8 >= 0 | |
GPVTF: - 9 eqn2 - 1 eqn3 + 2 eqn7 >= 0 | |
QDVJ: - 1 eqn2 + 9 eqn3 >= 0 |
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Maximize out: fuel_out | |
Subject to | |
KHKGT: - 5 eqn2 + 8 eqn8 >= 0 | |
NZVS: + 5 eqn0 - 29 eqn2 - 7 eqn8 >= 0 | |
ORE: - 157 eqn0 - 165 eqn1 - 179 eqn4 - 177 eqn5 - 165 eqn7 + ore_in >= 0 | |
DCFZ: + 6 eqn1 - 7 eqn6 - 3 eqn8 >= 0 | |
HKGWZ: - 48 eqn2 - 12 eqn3 + 5 eqn5 - 5 eqn8 >= 0 | |
GPVTF: - 9 eqn2 - 1 eqn3 + 2 eqn7 >= 0 | |
QDVJ: - 1 eqn2 + 9 eqn3 >= 0 |
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GLPSOL: GLPK LP/MIP Solver, v4.65 | |
Parameter(s) specified in the command line: | |
--lp input.lp | |
Reading problem data from 'input.lp'... | |
11 rows, 11 columns, 32 non-zeros | |
11 integer variables, none of which are binary | |
29 lines were read | |
GLPK Integer Optimizer, v4.65 | |
11 rows, 11 columns, 32 non-zeros | |
11 integer variables, none of which are binary |