import numpy as np

import annfab.hashes
import nearpy.hashes


def check_length(string, length):
    if string.find('_') >= 0:
        assert len(string.split('_')) == length
    else:
        assert len(string) == length


def helptest_init_matrix_hash(test_hash):
    test_hash.reset(20)
    mh = annfab.hashes.MatrixHash(test_hash)

    assert mh is not None


def helptest_hash_for_vector(test_hash):
    test_hash.reset(20)
    mh = annfab.hashes.MatrixHash(test_hash)
    a = np.random.random(20)
    rbh_answer = test_hash.hash_vector(a)
    mh_answer = mh.hash_vector(a)

    assert len(rbh_answer) == 1
    assert len(mh_answer) == 1
    check_length(rbh_answer[0], 10)
    check_length(mh_answer[0], 10)
    assert rbh_answer[0] == mh_answer[0]


def helptest_hash_for_matrix(test_hash):
    test_hash.reset(20)
    mh = annfab.hashes.MatrixHash(test_hash)
    a = np.random.random((5, 20))
    mh_answer = mh.hash_vector(a)
    assert len(mh_answer) == 5
    for i in range(5):
        rbh_answer = test_hash.hash_vector(a[i, :])
        assert len(rbh_answer) == 1
        check_length(mh_answer[i], 10)
        check_length(rbh_answer[0], 10)
        assert rbh_answer[0] == mh_answer[i]


def get_hash_functions():
    hash_functions = []
    hash_functions.append(nearpy.hashes.RandomBinaryProjections(
        'rand binary proj', 10, 1234))
    hash_functions.append(nearpy.hashes.PCABinaryProjections(
        'pca binary proj', 10, np.random.random((20, 10))))
    hash_functions.append(nearpy.hashes.PCADiscretizedProjections(
        'pca discr proj', 10, np.random.random((20, 10)), 3))
    hash_functions.append(nearpy.hashes.RandomBinaryProjectionTree(
        'rand binary proj tree', 10, 5, 1234))
    hash_functions.append(nearpy.hashes.RandomDiscretizedProjections(
        'rand discr proj', 10, 5, 1234))
    return hash_functions


def test_init_matrix_hash():
    for h in get_hash_functions():
        helptest_init_matrix_hash(h)


def test_hash_for_vector():
    for h in get_hash_functions():
        helptest_hash_for_vector(h)


def test_hash_for_matrix():
    for h in get_hash_functions():
        helptest_hash_for_matrix(h)

@@ -11,16 +11,30 @@
 py as np
+%0Aimport pytest
 %0A%0Aimport
@@ -75,166 +75,848 @@
 s%0A%0A%0A
-def check_length(string, length
+@pytest.fixture(scope=%22module%22, params=range(6))%0Adef hash_function(request
 ):%0A
+%0A
     
-if string.find('_') %3E= 0:%0A        assert len(string.split('_')) == length%0A    else:%0A        assert len(string) == length
+hash_function_map = %5B%0A        nearpy.hashes.UniBucket('0123456789'),%0A        nearpy.hashes.RandomBinaryProjections('rand binary proj', 10, 1234),%0A        nearpy.hashes.PCABinaryProjections('pca binary proj', 10,%0A                                           np.random.random((20, 10))),%0A        nearpy.hashes.PCADiscretizedProjections('pca discr proj', 10,%0A                                                np.random.random((20, 10)), 3),%0A        nearpy.hashes.RandomBinaryProjectionTree('rand binary proj tree', 10,%0A                                                 5, 1234),%0A        nearpy.hashes.RandomDiscretizedProjections('rand discr proj', 10, 5,%0A                                                   1234),%0A    %5D%0A%0A%0A%0A    return hash_function_map%5Brequest.param%5D
 %0A%0A%0Ad
@@ -1337,79 +1337,8 @@
 = 1%0A
-    check_length(rbh_answer%5B0%5D, 10)%0A    check_length(mh_answer%5B0%5D, 10)%0A
     
@@ -1708,884 +1708,132 @@
     
-check_length(mh_answer%5Bi%5D, 10)%0A        check_length(rbh_answer%5B0%5D, 10)%0A        assert rbh_answer%5B0%5D == mh_answer%5Bi%5D%0A%0A%0Adef get_hash_functions():%0A    hash_functions = %5B%5D%0A    hash_functions.append(nearpy.hashes.RandomBinaryProjections(%0A        'rand binary proj', 10, 1234))%0A    hash_functions.append(nearpy.hashes.PCABinaryProjections(%0A        'pca binary proj', 10, np.random.random((20, 10))))%0A    hash_functions.append(nearpy.hashes.PCADiscretizedProjections(%0A        'pca discr proj', 10, np.random.random((20, 10)), 3))%0A    hash_functions.append(nearpy.hashes.RandomBinaryProjectionTree(%0A        'rand binary proj tree', 10, 5, 1234))%0A    hash_functions.append(nearpy.hashes.RandomDiscretizedProjections(%0A        'rand discr proj', 10, 5, 1234))%0A    return hash_functions%0A%0A%0Adef test_init_matrix_hash():%0A    for h in get_hash_functions():%0A        helptest_init_matrix_hash(h
+assert rbh_answer%5B0%5D == mh_answer%5Bi%5D%0A%0A%0Adef test_init_matrix_hash(hash_function):%0A    helptest_init_matrix_hash(hash_function
 )%0A%0A%0A
@@ -1857,36 +1857,16 @@
 _vector(
-):%0A    for h in get_
 hash_fun
@@ -1866,37 +1866,31 @@
 ash_function
-s(
 ):%0A    
-  
-  
 helptest_has
@@ -1903,16 +1903,28 @@
 vector(h
+ash_function
 )%0A%0A%0Adef 
@@ -1948,28 +1948,8 @@
 rix(
-):%0A    for h in get_
 hash
@@ -1961,17 +1961,11 @@
 tion
-s(
 ):%0A
-    
     
@@ -1990,10 +1990,22 @@
 matrix(h
+ash_function
 )%0A

Use a test fixture for the hash tests.