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import numpy as np
import pytest
from pytest import approx
from . import tmpfiles
import segyio
from segyio import BinField
from segyio import TraceField
from segyio import TraceSortingFormat
from segyio import SegySampleFormat
@tmpfiles("test-data/small.sgy")
def test_dt_fallback(tmpdir):
with segyio.open(tmpdir / 'small.sgy', "r+") as f:
# Both zero
f.bin[BinField.Interval] = 0
f.header[0][TraceField.TRACE_SAMPLE_INTERVAL] = 0
f.flush()
fallback_dt = 4
assert segyio.dt(f, fallback_dt) == approx(fallback_dt)
# dt in bin header different from first trace
f.bin[BinField.Interval] = 6000
f.header[0][TraceField.TRACE_SAMPLE_INTERVAL] = 1000
f.flush()
fallback_dt = 4
assert segyio.dt(f, fallback_dt) == approx(fallback_dt)
@tmpfiles("test-data/small.sgy")
def test_dt_no_fallback(tmpdir):
dt_us = 6000
with segyio.open(tmpdir / 'small.sgy', "r+") as f:
f.bin[BinField.Interval] = dt_us
f.header[0][TraceField.TRACE_SAMPLE_INTERVAL] = dt_us
f.flush()
assert segyio.dt(f) == approx(dt_us)
def test_sample_indexes():
with segyio.open("test-data/small.sgy") as f:
indexes = segyio.sample_indexes(f)
step = 4000.0
assert indexes == [t * step for t in range(len(f.samples))]
indexes = segyio.sample_indexes(f, t0=1.5)
assert indexes == [1.5 + t * step for t in range(len(f.samples))]
indexes = segyio.sample_indexes(f, t0=1.5, dt_override=3.21)
assert indexes == [1.5 + t * 3.21 for t in range(len(f.samples))]
def test_empty_text_header_creation():
text_header = segyio.create_text_header({})
for line_no in range(0, 40):
line = text_header[line_no * 80: (line_no + 1) * 80]
assert line == "C{0:>2} {1:76}".format(line_no + 1, "")
def test_wrap():
with segyio.open("test-data/small.sgy") as f:
segyio.tools.wrap(f.text[0])
segyio.tools.wrap(f.text[0], 90)
def test_values_text_header_creation():
lines = {i + 1: chr(64 + i) * 76 for i in range(40)}
text_header = segyio.create_text_header(lines)
for line_no in range(0, 40):
line = text_header[line_no * 80: (line_no + 1) * 80]
assert line == "C{0:>2} {1:76}".format(line_no + 1, chr(64 + line_no) * 76)
def test_native():
with open("test-data/small.sgy", 'rb') as f, segyio.open("test-data/small.sgy") as sgy:
f.read(3600 + 240)
filetr = f.read(4 * len(sgy.samples))
segytr = sgy.trace[0]
filetr = np.frombuffer(filetr, dtype=np.single)
assert not np.array_equal(segytr, filetr)
assert np.array_equal(segytr, segyio.tools.native(filetr))
def test_cube_filename():
with segyio.open("test-data/small.sgy") as f:
c1 = segyio.tools.cube(f)
c2 = segyio.tools.cube("test-data/small.sgy")
assert np.all(c1 == c2)
def test_cube_identity():
with segyio.open("test-data/small.sgy") as f:
x = segyio.tools.collect(f.trace[:])
x = x.reshape((len(f.ilines), len(f.xlines), len(f.samples)))
assert np.all(x == segyio.tools.cube(f))
def test_cube_identity_prestack():
with segyio.open("test-data/small-ps.sgy") as f:
dims = (len(f.ilines), len(f.xlines), len(f.offsets), len(f.samples))
x = segyio.tools.collect(f.trace[:]).reshape(dims)
assert np.all(x == segyio.tools.cube(f))
def test_unstructured_rotation():
with pytest.raises(ValueError):
with segyio.open("test-data/small.sgy", ignore_geometry=True) as f:
segyio.tools.rotation(f)
def test_rotation():
names = ['normal', 'acute', 'right', 'obtuse',
'straight', 'reflex', 'left', 'inv-acute']
angles = [0.000, 0.785, 1.571, 2.356,
3.142, 3.927, 4.712, 5.498]
rights = [1.571, 2.356, 3.142, 3.927,
4.712, 5.498, 0.000, 0.785]
def rotation(x, **kwargs):
return segyio.tools.rotation(x, **kwargs)[0]
for name, angle, right in zip(names, angles, rights):
src = "test-data/small.sgy".replace('/', '/' + name + '-')
with segyio.open(src) as f:
assert angle == approx(rotation(f), abs=1e-3)
assert angle == approx(rotation(f, line='fast'), abs=1e-3)
assert angle == approx(rotation(f, line='iline'), abs=1e-3)
assert right == approx(rotation(f, line='slow'), abs=1e-3)
assert right == approx(rotation(f, line='xline'), abs=1e-3)
def test_metadata():
spec = segyio.spec()
spec.ilines = [1, 2, 3, 4, 5]
spec.xlines = [20, 21, 22, 23, 24]
spec.samples = list(range(0, 200, 4))
spec.sorting = 2
spec.format = 1
smallspec = segyio.tools.metadata("test-data/small.sgy")
assert np.array_equal(spec.ilines, smallspec.ilines)
assert np.array_equal(spec.xlines, smallspec.xlines)
assert np.array_equal(spec.offsets, smallspec.offsets)
assert np.array_equal(spec.samples, smallspec.samples)
assert spec.sorting == smallspec.sorting
assert spec.format == int(smallspec.format)
@tmpfiles("test-data/small.sgy")
def test_resample_none(tmpdir):
old = list(range(0, 200, 4))
with segyio.open(tmpdir / 'small.sgy', 'r+') as f:
assert np.array_equal(old, f.samples)
segyio.tools.resample(f) # essentially a no-op
assert np.array_equal(old, f.samples)
with segyio.open(tmpdir / 'small.sgy') as f:
assert np.array_equal(old, f.samples)
@tmpfiles("test-data/small.sgy")
def test_resample_all(tmpdir):
old = list(range(0, 200, 4))
new = list(range(12, 112, 2))
with segyio.open(tmpdir / 'small.sgy', 'r+') as f:
assert np.array_equal(old, f.samples)
segyio.tools.resample(f, rate=2, delay=12)
assert np.array_equal(new, f.samples)
with segyio.open(tmpdir / 'small.sgy') as f:
assert np.array_equal(new, f.samples)
@tmpfiles("test-data/small.sgy")
def test_resample_rate(tmpdir):
old = list(range(0, 200, 4))
new = list(range(12, 212, 4))
with segyio.open(tmpdir / 'small.sgy', 'r+') as f:
assert np.array_equal(old, f.samples)
segyio.tools.resample(f, delay=12)
assert np.array_equal(new, f.samples)
with segyio.open(tmpdir / 'small.sgy') as f:
assert np.array_equal(new, f.samples)
@tmpfiles("test-data/small.sgy")
def test_resample_delay(tmpdir):
old = list(range(0, 200, 4))
new = list(range(0, 100, 2))
with segyio.open(tmpdir / 'small.sgy', 'r+') as f:
assert np.array_equal(old, f.samples)
segyio.tools.resample(f, rate=2000, micro=True)
assert np.array_equal(new, f.samples)
with segyio.open(tmpdir / 'small.sgy') as f:
assert np.array_equal(new, f.samples)
def createfromany(path, data, il=189, xl=193, sample_format=1, dt=4000, delrt=0):
segyio.tools.from_array(path, data, il, xl, sample_format, dt, delrt)
def createfrom2d(path, data, il=189, xl=193, sample_format=1, dt=4000, delrt=0):
segyio.tools.from_array2D(path, data, il, xl, sample_format, dt, delrt)
def createfrom3d(path, data, il=189, xl=193, sample_format=1, dt=4000, delrt=0):
segyio.tools.from_array3D(path, data, il, xl, sample_format, dt, delrt)
def createfrom4d(path, data, il=189, xl=193, sample_format=1, dt=4000, delrt=0):
segyio.tools.from_array4D(path, data, il, xl, sample_format, dt, delrt)
@pytest.mark.parametrize("create", [createfrom2d, createfromany])
def testfrom_array_2D(tmpdir, create):
fresh = str(tmpdir / 'fresh.sgy')
data = np.arange(250, dtype=np.float32).reshape((10,25))
dt, delrt = 4000, 0
create(fresh, data, dt=dt, delrt=delrt)
with segyio.open(fresh, 'r') as f:
assert int(f.format) == SegySampleFormat.IBM_FLOAT_4_BYTE
assert int(f.sorting) == TraceSortingFormat.INLINE_SORTING
assert len(f.samples) == 25
assert int(f.tracecount) == 10
assert np.array_equal(f.iline[1], data)
assert list(f.ilines) == [1]
assert list(f.xlines) == list(range(1, 11))
assert list(f.offsets) == list(range(1, 2))
assert list(f.samples) == list(
(np.arange(len(f.samples)) * dt/1000) + delrt)
ilines = np.ones(10)
xlines = range(1, 11)
offsets = np.ones(10)
assert list(f.attributes(TraceField.INLINE_3D)) == list(ilines)
assert list(f.attributes(TraceField.CROSSLINE_3D)) == list(xlines)
assert list(f.attributes(TraceField.offset)) == list(offsets)
assert list(f.attributes(TraceField.TraceNumber)) == list(range(10))
assert list(f.attributes(TraceField.CDP_TRACE)) == list(range(10))
assert list(f.attributes(TraceField.TRACE_SAMPLE_INTERVAL)) == list(
4000 * np.ones(10))
assert list(f.attributes(TraceField.TRACE_SAMPLE_COUNT)) == list(
25 * np.ones(10))
assert list(f.attributes(TraceField.DelayRecordingTime)) == list(
np.zeros(10)
)
@pytest.mark.parametrize("create", [createfrom3d, createfromany])
def test_from_array3D(tmpdir, create):
fresh = str(tmpdir / 'fresh.sgy')
with segyio.open("test-data/small.sgy") as f:
cube = segyio.cube(f)
dt, delrt = 4000, 0
create(fresh, cube, dt=dt, delrt=delrt)
with segyio.open(fresh) as g:
assert int(g.format) == SegySampleFormat.IBM_FLOAT_4_BYTE
assert int(g.sorting) == TraceSortingFormat.INLINE_SORTING
assert len(g.samples) == len(f.samples)
assert g.tracecount == f.tracecount
assert np.array_equal(f.trace, g.trace)
assert list(g.ilines) == list(range(1, 6))
assert list(g.xlines) == list(range(1, 6))
assert list(f.offsets) == list(range(1, 2))
assert list(f.samples) == list(
(np.arange(len(f.samples)) * dt / 1000) + delrt)
xlines = np.tile(np.arange(1, 6), 5)
ilines = np.repeat(np.arange(1, 6), 5)
offsets = np.ones(25)
assert list(g.attributes(TraceField.INLINE_3D)) == list(ilines)
assert list(g.attributes(TraceField.CROSSLINE_3D)) == list(xlines)
assert list(g.attributes(TraceField.offset)) == list(offsets)
assert list(g.attributes(TraceField.TraceNumber)) == list(range(25))
assert list(g.attributes(TraceField.CDP_TRACE)) == list(range(25))
assert list(g.attributes(TraceField.TRACE_SAMPLE_INTERVAL)) == list(
4000 * np.ones(25))
assert list(g.attributes(TraceField.TRACE_SAMPLE_COUNT)) == list(
50 * np.ones(25))
assert g.bin[BinField.SortingCode] == 2
@pytest.mark.parametrize("create", [createfrom4d, createfromany])
def test_from_array4D(tmpdir, create):
fresh = str(tmpdir / 'fresh.sgy')
data = np.repeat(np.arange(24, dtype=np.float32), 10).reshape((4,3,2,10))
dt, delrt = 4000, 0
create(fresh, data, dt=dt, delrt=delrt)
with segyio.open(fresh) as f:
assert int(f.format) == SegySampleFormat.IBM_FLOAT_4_BYTE
assert int(f.sorting) == TraceSortingFormat.INLINE_SORTING
assert len(f.samples) == 10
assert int(f.tracecount) == 24
assert list(f.ilines) == list(range(1, 5))
assert list(f.xlines) == list(range(1, 4))
assert list(f.offsets) == list(range(1, 3))
assert list(f.samples) == list(
(np.arange(len(f.samples)) * dt / 1000) + delrt)
iline4 = f.iline[4, 1]
assert list(iline4[0, :]) == list(18*np.ones(10))
assert list(iline4[2, :]) == list(22*np.ones(10))
xline2 = f.xline[2, 2]
assert list(xline2[1, :]) == list(9 * np.ones(10))
assert list(xline2[3, :]) == list(21 * np.ones(10))
ilines = np.repeat(np.arange(1, 5), 6)
xlines = np.repeat(np.tile(np.arange(1, 4), 4), 2)
offsets = np.tile(np.arange(1, 3), 12)
assert list(f.attributes(TraceField.INLINE_3D)) == list(ilines)
assert list(f.attributes(TraceField.CROSSLINE_3D)) == list(xlines)
assert list(f.attributes(TraceField.offset)) == list(offsets)
@pytest.mark.parametrize("create", [createfrom2d,
createfrom3d,
createfrom4d,
createfromany])
def test_create_from_array_invalid_args(tmpdir, create):
fresh = str(tmpdir / 'fresh.sgy')
data = np.arange(100, dtype=np.float32)
with pytest.raises(ValueError):
create(fresh, data)
data = "rubbish-input"
with pytest.raises(ValueError):
create(fresh, data)
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