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"""Test loadtext."""
# pylint: diable=invalid-name
import pytest
from fastlid import fastlid
from radiobee.loadtext import loadtext
from radiobee.files2df import files2df
from radiobee.file2text import file2text
from radiobee.lists2cmat import lists2cmat
from radiobee.cmat2tset import cmat2tset
from radiobee.gen_pset import gen_pset
en = loadtext("data/en.txt")
zh = loadtext("data/zh.txt")
testen = loadtext("data/testen.txt")
testzh = loadtext("data/testzh.txt")
def test_en_zh_short1():
"""Test en_zh_short."""
lst1 = [elm for elm in en.splitlines() if elm.strip()]
lst2 = [elm for elm in zh.splitlines() if elm.strip()]
lang1, _ = fastlid(en)
lang2, _ = fastlid(zh)
cmat0 = lists2cmat(lst1, lst2)
pset = gen_pset(cmat0)
assert pset.__len__() > 2
def test_en_zh_short2():
"""Test en_zh_short testen testzh."""
# en = testen.copy()
# zh = testzh.copy()
lst1a = [elm for elm in testen.splitlines() if elm.strip()]
lst2a = [elm for elm in testzh.splitlines() if elm.strip()]
lang1a, _ = fastlid(testen)
lang2a, _ = fastlid(testzh)
cmat1 = lists2cmat(lst1a, lst2a)
pset = gen_pset(cmat1)
assert pset.__len__() > 2
_ = """
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
sns.set()
sns.set_style("darkgrid")
cmap = "viridis_r"
plt.ion()
eps = 6
min_samples = 10
tset = pd.DataFrame(cmat2tset(cmat))
tset.columns = ["x", "y", "cos"]
df_ = tset
# """
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