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# Plot PyCalphad phase diagram with ESPEI dataplot containing a fixed set of phases.
# The legend generator should have the superset of all modeled phases and all data phases
# (usually this is what causes the colors to mismatch - the phases in the model only come from the model and the dataplot phases come only from the data).

from pycalphad import Database, equilibrium, variables as v, ternplot
from pycalphad.plot.utils import phase_legend
from espei.datasets import load_datasets, recursive_glob
from espei.plot import dataplot

import matplotlib.pyplot as plt

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from pycalphad import Database, variables as v
from symengine import Symbol
from tinydb import where

dbf = Database("NiTi-92Sau.tdb")

# Add FUNCTION called MYFUNC
myfunc = 1 + 10 * v.T + 100 * v.T**2
dbf.symbols["MYFUNC"] = myfunc

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import itertools
cards = ["A", 2, 3, 4, 5, 6, 7, 8, 9, 10, "J", "Q", "K"]
deck = 1*4*cards  # 1 deck, 4 suits
def totals_for_hand(hand):
    totals = [0]
    for i, card in enumerate(hand):
        new_totals = []
        for j, t in enumerate(totals):
            if card == "A":
                new_totals.append(t + 1)

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# coding: utf-8
import matplotlib.pyplot as plt
import numpy as np

from pycalphad import Database, calculate, equilibrium, variables as v
import pycalphad

dbf = Database('Al-Mg_Zhong.tdb')

comps = ['AL', 'MG', 'VA']

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import math

def float_sigfigs(val, sigfigs):
    """Return a string representation of a floating point number rounded to some number of significant figures without scientific notation"""
    rounded_val = float(f"{val:0.{sigfigs}g}")
    num_digits = int(abs(math.log10(rounded_val))) + sigfigs
    return f"{rounded_val:0.{num_digits}f}"

print(float_sigfigs(3.141592653589793e-20, 5))  # 0.000000000000000000031416

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$
$
$                    VERSION  : ROUND II (January 1999)
$
$                        FROZEN VERSION
$                          COST - 507
$
$         THERMODYNAMIC DATABASE FOR LIGHT METAL ALLOYS
$
$