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# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2014, Nicolas P. Rougier. All rights reserved.
# Distributed under the terms of the new BSD License.
# -----------------------------------------------------------------------------
import unittest
import numpy as np
from vispy.testing import run_tests_if_main
from vispy.gloo.buffer import (Buffer, DataBuffer, DataBufferView,
VertexBuffer, IndexBuffer)
# -----------------------------------------------------------------------------
class BufferTest(unittest.TestCase):
# Default init
# ------------
def test_init_default(self):
""" Test buffer init"""
# No data
B = Buffer()
assert B.nbytes == 0
glir_cmd = B._glir.clear()[-1]
assert glir_cmd[0] == 'CREATE'
# With data
data = np.zeros(100)
B = Buffer(data=data)
assert B.nbytes == data.nbytes
glir_cmd = B._glir.clear()[-1]
assert glir_cmd[0] == 'DATA'
# With nbytes
B = Buffer(nbytes=100)
assert B.nbytes == 100
glir_cmd = B._glir.clear()[-1]
assert glir_cmd[0] == 'SIZE'
# Wrong data
self.assertRaises(ValueError, Buffer, data, 4)
self.assertRaises(ValueError, Buffer, data, data.nbytes)
# Check setting the whole buffer clear pending operations
# -------------------------------------------------------
def test_set_whole_data(self):
data = np.zeros(100)
B = Buffer(data=data)
B._glir.clear()
B.set_data(data=data)
glir_cmds = B._glir.clear()
assert len(glir_cmds) == 2
assert glir_cmds[0][0] == 'SIZE'
assert glir_cmds[1][0] == 'DATA'
# And sub data
B.set_subdata(data[:50], 20)
glir_cmds = B._glir.clear()
assert len(glir_cmds) == 1
assert glir_cmds[0][0] == 'DATA'
assert glir_cmds[0][2] == 20 # offset
# And sub data
B.set_subdata(data)
glir_cmds = B._glir.clear()
assert glir_cmds[-1][0] == 'DATA'
# Wrong ways to set subdata
self.assertRaises(ValueError, B.set_subdata, data[:50], -1) # neg
self.assertRaises(ValueError, B.set_subdata, data, 10) # no fit
# Check stored data is data
# -------------------------
def test_data_storage(self):
data = np.zeros(100)
B = Buffer(data=data)
B.set_data(data=data[:50], copy=False)
glir_cmd = B._glir.clear()[-1]
assert glir_cmd[-1].base is data
# Check setting oversized data
# ----------------------------
def test_oversized_data(self):
data = np.zeros(10)
B = Buffer(data=data)
# with self.assertRaises(ValueError):
# B.set_data(np.ones(20))
self.assertRaises(ValueError, B.set_subdata, np.ones(20), offset=0)
# Check negative offset
# ---------------------
def test_negative_offset(self):
data = np.zeros(10)
B = Buffer(data=data)
# with self.assertRaises(ValueError):
# B.set_data(np.ones(1), offset=-1)
self.assertRaises(ValueError, B.set_subdata, np.ones(1), offset=-1)
# Check offlimit offset
# ---------------------
def test_offlimit_offset(self):
data = np.zeros(10)
B = Buffer(data=data)
# with self.assertRaises(ValueError):
# B.set_data(np.ones(1), offset=10 * data.dtype.itemsize)
self.assertRaises(ValueError, B.set_subdata,
np.ones(1), offset=10 * data.dtype.itemsize)
# Buffer size
# -----------
def test_buffer_size(self):
data = np.zeros(10)
B = Buffer(data=data)
assert B.nbytes == data.nbytes
# Resize
# ------
def test_buffer_resize(self):
data = np.zeros(10)
B = Buffer(data=data)
data = np.zeros(20)
B.set_data(data)
assert B.nbytes == data.nbytes
# -----------------------------------------------------------------------------
class DataBufferTest(unittest.TestCase):
# Default init
# ------------
def test_default_init(self):
# Check default storage and copy flags
data = np.ones(100)
B = DataBuffer(data)
assert B.nbytes == data.nbytes
assert B.offset == 0
assert B.size == 100
assert B.itemsize == data.itemsize
assert B.stride == data.itemsize
assert B.dtype == data.dtype
# Given data must be actual numeric data
self.assertRaises(TypeError, DataBuffer, 'this is not nice data')
# Default init with structured data
# ---------------------------------
def test_structured_init(self):
# Check structured type
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
assert B.nbytes == data.nbytes
assert B.offset == 0
assert B.size == 10
assert B.itemsize == data.itemsize
assert B.stride == data.itemsize
assert B.dtype == data.dtype
# No CPU storage
# --------------
def test_no_storage_copy(self):
data = np.ones(100, np.float32)
B = DataBuffer(data)
assert B.stride == 4
# Wrong storage
# -------------
def test_non_contiguous_storage(self):
# Ask to have CPU storage and to use data as storage
# Not possible since data[::2] is not contiguous
data = np.ones(100, np.float32)
data_given = data[::2]
B = DataBuffer(data_given)
assert B.stride == 4*2
# Get buffer field
# ----------------
def test_getitem_field(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Z = B["position"]
assert Z.nbytes == 10 * 3 * np.dtype(np.float32).itemsize
assert Z.offset == 0
assert Z.size == 10
assert Z.itemsize == 3 * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == (np.float32, 3)
Z = B["texcoord"]
assert Z.nbytes == 10 * 2 * np.dtype(np.float32).itemsize
assert Z.offset == 3 * np.dtype(np.float32).itemsize
assert Z.size == 10
assert Z.itemsize == 2 * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == (np.float32, 2)
Z = B["color"]
assert Z.nbytes == 10 * 4 * np.dtype(np.float32).itemsize
assert Z.offset == (2 + 3) * np.dtype(np.float32).itemsize
assert Z.size == 10
assert Z.itemsize == 4 * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == (np.float32, 4)
# Get view via index
# ------------------
def test_getitem_index(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Z = B[0:1]
assert Z.base == B
assert Z.id == B.id
assert Z.nbytes == 1 * (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.offset == 0
assert Z.size == 1
assert Z.itemsize == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == B.dtype
assert 'DataBufferView' in repr(Z)
# There's a few things we cannot do with a view
self.assertRaises(RuntimeError, Z.set_data, data)
self.assertRaises(RuntimeError, Z.set_subdata, data)
self.assertRaises(RuntimeError, Z.resize_bytes, 20)
self.assertRaises(RuntimeError, Z.__getitem__, 3)
self.assertRaises(RuntimeError, Z.__setitem__, 3, data)
# View get invalidated when base is resized
# -----------------------------------------
def test_invalid_view_after_resize(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Y = B['position']
Z = B[5:]
B.resize_bytes(5)
assert Y._valid is False
assert Z._valid is False
# View get invalidated after setting oversized data
# -------------------------------------------------
def test_invalid_view_after_set_data(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Z = B[5:]
B.set_data(np.zeros(15, dtype=dtype))
assert Z._valid is False
# Set data on base buffer : ok
# ----------------------------
def test_set_data_base(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
B.set_data(data)
last_cmd = B._glir.clear()[-1]
assert last_cmd[0] == 'DATA'
# Extra kwargs are caught
self.assertRaises(TypeError, B.set_data, data, foo=4)
# Check set_data using offset in data buffer
# ------------------------------------------
def test_set_data_offset(self):
data = np.zeros(100, np.float32)
subdata = data[:10]
B = DataBuffer(data)
B.set_subdata(subdata, offset=10)
last_cmd = B._glir.clear()[-1]
offset = last_cmd[2]
assert offset == 10*4
def test_getitem(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
assert B[1].dtype == dtype
assert B[1].size == 1
assert B[-1].dtype == dtype
assert B[-1].size == 1
self.assertRaises(IndexError, B.__getitem__, +999)
self.assertRaises(IndexError, B.__getitem__, -999)
def test_setitem(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
B[1] = data[0]
B[-1] = data[0]
B[:5] = data[:5]
B[5:0] = data[:5] # Weird, but we apparently support this
B[1] = b'' # Gets conveted into array of dtype. Lists do not work
self.assertRaises(IndexError, B.__setitem__, +999, data[0])
self.assertRaises(IndexError, B.__setitem__, -999, data[0])
self.assertRaises(TypeError, B.__setitem__, [], data[0])
# Setitem + broadcast
# ------------------------------------------------------
def test_setitem_broadcast(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
self.assertRaises(ValueError, B.__setitem__, 'position', (1, 2, 3))
# Set every 2 item
# ------------------------------------------------------
def test_setitem_strided(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data1 = np.zeros(10, dtype=dtype)
data2 = np.ones(10, dtype=dtype)
B = DataBuffer(data1)
s = slice(None, None, 2)
self.assertRaises(ValueError, B.__setitem__, s, data2[::2])
# Set half the array
# ------------------------------------------------------
def test_setitem_half(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data1 = np.zeros(10, dtype=dtype)
data2 = np.ones(10, dtype=dtype)
B = DataBuffer(data1)
B._glir.clear()
B[:5] = data2[:5]
glir_cmds = B._glir.clear()
assert len(glir_cmds) == 1
set_data = glir_cmds[0][-1]
assert np.allclose(set_data['position'], data2['position'][:5])
assert np.allclose(set_data['texcoord'][:5], data2['texcoord'][:5])
assert np.allclose(set_data['color'][:5], data2['color'][:5])
# Set field without storage: error
# --------------------------------
def test_setitem_field_no_storage(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
self.assertRaises(ValueError, B.__setitem__, 'position', (1, 2, 3))
# Set every 2 item without storage: error
# ----------------------------------------
def test_every_two_item_no_storage(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
# with self.assertRaises(ValueError):
# B[::2] = data[::2]
s = slice(None, None, 2)
self.assertRaises(ValueError, B.__setitem__, s, data[::2])
# Resize
# ------
def test_resize(self):
data = np.zeros(10)
B = DataBuffer(data=data)
data = np.zeros(20)
B.set_data(data)
assert B.nbytes == data.nbytes
# Resize now allowed using ellipsis
# -----------------------------
def test_no_resize_ellipsis(self):
data = np.zeros(10)
B = DataBuffer(data=data)
data = np.zeros(30)
self.assertRaises(ValueError, B.__setitem__, Ellipsis, data)
# Broadcast when using ellipses
def test_broadcast_ellipsis(self):
data = np.zeros(10)
B = DataBuffer(data=data)
data = np.zeros(5)
B[Ellipsis] = data
glir_cmd = B._glir.clear()[-1]
assert glir_cmd[-1].shape == (10,)
class DataBufferViewTest(unittest.TestCase):
def test_init_view(self):
data = np.zeros(10)
B = DataBuffer(data=data)
V = DataBufferView(B, 1)
assert V.size == 1
V = DataBufferView(B, slice(0, 5))
assert V.size == 5
V = DataBufferView(B, slice(5, 0))
assert V.size == 5
V = DataBufferView(B, Ellipsis)
assert V.size == 10
self.assertRaises(TypeError, DataBufferView, B, [])
self.assertRaises(ValueError, DataBufferView, B, slice(0, 10, 2))
# -----------------------------------------------------------------------------
class VertexBufferTest(unittest.TestCase):
# VertexBuffer allowed base types
# -------------------------------
def test_init_allowed_dtype(self):
for dtype in (np.uint8, np.int8, np.uint16, np.int16, np.float32):
V = VertexBuffer(np.zeros((10, 3), dtype=dtype))
names = V.dtype.names
assert V.dtype[names[0]].base == dtype
assert V.dtype[names[0]].shape == (3,)
for dtype in (np.float64, np.int64):
self.assertRaises(TypeError, VertexBuffer,
np.zeros((10, 3), dtype=dtype))
# Tuple/list is also allowed
V = VertexBuffer([1, 2, 3])
assert V.size == 3
assert V.itemsize == 4
#
V = VertexBuffer([[1, 2], [3, 4], [5, 6]])
assert V.size == 3
assert V.itemsize == 2 * 4
# Convert
data = np.zeros((10,), 'uint8')
B = VertexBuffer(data)
assert B.dtype[0].base == np.uint8
assert B.dtype[0].itemsize == 1
#
data = np.zeros((10, 2), 'uint8')
B = VertexBuffer(data)
assert B.dtype[0].base == np.uint8
assert B.dtype[0].itemsize == 2
B.set_data(data, convert=True)
assert B.dtype[0].base == np.float32
assert B.dtype[0].itemsize == 8
B = VertexBuffer(data[::2].copy())
# This is converted to 1D
B = VertexBuffer([[1, 2, 3, 4, 5], [1, 2, 3, 4, 5]])
assert B.size == 10
# Not allowed
self.assertRaises(TypeError, VertexBuffer, dtype=np.float64)
#self.assertRaises(TypeError, VertexBuffer, [[1,2,3,4,5],[1,2,3,4,5]])
# VertexBuffer not allowed base types
# -----------------------------------
def test_init_not_allowed_dtype(self):
for dtype in (np.uint32, np.int32, np.float64):
# with self.assertRaises(TypeError):
# V = VertexBuffer(dtype=dtype)
self.assertRaises(TypeError, VertexBuffer, dtype=dtype)
def test_glsl_type(self):
data = np.zeros((10,), np.float32)
B = VertexBuffer(data)
C = B[1:]
assert B.glsl_type == ('attribute', 'float')
assert C.glsl_type == ('attribute', 'float')
data = np.zeros((10, 2), np.float32)
B = VertexBuffer(data)
C = B[1:]
assert B.glsl_type == ('attribute', 'vec2')
assert C.glsl_type == ('attribute', 'vec2')
data = np.zeros((10, 4), np.float32)
B = VertexBuffer(data)
C = B[1:]
assert B.glsl_type == ('attribute', 'vec4')
assert C.glsl_type == ('attribute', 'vec4')
# -----------------------------------------------------------------------------
class IndexBufferTest(unittest.TestCase):
# IndexBuffer allowed base types
# ------------------------------
def test_init_allowed_dtype(self):
# allowed dtypes
for dtype in (np.uint8, np.uint16, np.uint32):
b = IndexBuffer(np.zeros(10, dtype=dtype))
b.dtype == dtype
# no data => no dtype
V = IndexBuffer()
V.dtype is None
# Not allowed dtypes
for dtype in (np.int8, np.int16, np.int32,
np.float16, np.float32, np.float64):
# with self.assertRaises(TypeError):
# V = IndexBuffer(dtype=dtype)
data = np.zeros(10, dtype=dtype)
self.assertRaises(TypeError, IndexBuffer, data)
# Prepare some data
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2), ])
sdata = np.zeros(10, dtype=dtype)
# Normal data is
data = np.zeros([1, 2, 3], np.uint8)
B = IndexBuffer(data)
assert B.dtype == np.uint8
# We can also convert
B.set_data(data, convert=True)
assert B.dtype == np.uint32
# Structured data not allowed
self.assertRaises(TypeError, IndexBuffer, dtype=dtype)
self.assertRaises(TypeError, B.set_data, sdata)
run_tests_if_main()
|
