OneRaynyDay

graph - have graph of each individual color
greedy algorithm
Start at the lowest result from # of orbs calculated w/ the distance - hardest combo to make.
longest path algorithm - djikstra's backward
find localized solutions as the answer goes towards the solution

      LBHRLB
      HRRGRR
      BDHHGR
      HRHDRG

OneRaynyDay

"""Softmax."""

scores = [2.0, 1.0, 0.1]

import numpy as np

def softmax(x):
    """Compute softmax values for each sets of scores in x."""
    #We want to find the e^y_i/(sum(e^y)
    ''' Long way

OneRaynyDay

import numpy as np
import module

SEEDED = False # for .not_seeded. For .seeded, this is True.
NUM_TRIALS = 10

if SEEDED:
    module.init()

for i in range(NUM_TRIALS):

OneRaynyDay

# Change BASE_DIR accordingly.
BASE_DIR=/Users/ray_zhang/home/tensorflow/bazel-bin
INC=-I$(BASE_DIR)/tensorflow/include -I$(BASE_DIR)/tensorflow -I$(BASE_DIR)/tensorflow/include/src/
LIB=-L$(BASE_DIR)/tensorflow -rpath $(BASE_DIR)/tensorflow -ltensorflow_cc -ltensorflow_framework
FLAGS=-std=c++14

main: deserialize.cpp
	g++ $(FLAGS) $(INC) $(LIB) -o deserialize $^

OneRaynyDay

from scipy.stats import random_correlation
from typing import List, Set
import seaborn as sb
import numpy as np
import matplotlib.pyplot as plt

plt.rcParams["figure.figsize"] = (10, 10)

# --- Specifying correlation matrix distribution and shape ---
rng = np.random.default_rng()