Small improvements to the Taproot functional tests

The "whitelist" and "connect_nodes" is not needed in feature_taproot.py,
so remove it.

The changes to key.py are required when running the unit tests from the
test folder. Failure on current master:

[test]$ python -m unittest functional/test_framework/key.py
.E
======================================================================
ERROR: test_schnorr_testvectors (functional.test_framework.key.TestFrameworkKey)
Implement the BIP340 test vectors (read from bip340_test_vectors.csv).
----------------------------------------------------------------------
Traceback (most recent call last):
  File "test/functional/test_framework/key.py", line 526, in test_schnorr_testvectors
    with open(os.path.join(sys.path[0], 'test_framework', 'bip340_test_vectors.csv'), newline='', encoding='utf8') as csvfile:
FileNotFoundError: [Errno 2] No such file or directory: 'test/test_framework/bip340_test_vectors.csv'

----------------------------------------------------------------------
Ran 2 tests in 0.775s

FAILED (errors=1)
This commit is contained in:
Pieter Wuille
2020-10-21 13:06:34 -07:00
committed by MarcoFalke
parent fac865b72d
commit 50eb0c2512
2 changed files with 4 additions and 5 deletions

View File

@ -10,7 +10,6 @@ import csv
import hashlib
import os
import random
import sys
import unittest
from .util import modinv
@ -22,6 +21,7 @@ def TaggedHash(tag, data):
return hashlib.sha256(ss).digest()
def xor_bytes(b0, b1):
assert len(b0) == len(b1)
return bytes(x ^ y for (x, y) in zip(b0, b1))
def jacobi_symbol(n, k):
@ -523,7 +523,8 @@ class TestFrameworkKey(unittest.TestCase):
def test_schnorr_testvectors(self):
"""Implement the BIP340 test vectors (read from bip340_test_vectors.csv)."""
num_tests = 0
with open(os.path.join(sys.path[0], 'test_framework', 'bip340_test_vectors.csv'), newline='', encoding='utf8') as csvfile:
vectors_file = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'bip340_test_vectors.csv')
with open(vectors_file, newline='', encoding='utf8') as csvfile:
reader = csv.reader(csvfile)
next(reader)
for row in reader: