#!/usr/bin/env python

"""Small example that shows how to work with extendeable arrays of different
types, strings included."""

from __future__ import print_function
import numpy as np
import tables

# Open a new empty HDF5 file
filename = "earray2.h5"
fileh = tables.open_file(filename, mode="w")
# Get the root group
root = fileh.root

# Create an string atom
a = tables.StringAtom(itemsize=1)
# Use it as a type for the enlargeable array
hdfarray = fileh.create_earray(root, 'array_c', a, (0,), "Character array")
hdfarray.append(np.array(['a', 'b', 'c']))
# The next is legal:
hdfarray.append(np.array(['c', 'b', 'c', 'd']))
# but these are not:
# hdfarray.append(array([['c', 'b'], ['c', 'd']]))
# hdfarray.append(array([[1,2,3],[3,2,1]], dtype=uint8).reshape(2,1,3))

# Create an atom
a = tables.UInt16Atom()
hdfarray = fileh.create_earray(root, 'array_e', a, (2, 0, 3),
                               "Unsigned short array")

# Create an enlargeable array
a = tables.UInt8Atom()
hdfarray = fileh.create_earray(root, 'array_b', a, (2, 0, 3),
                               "Unsigned byte array",
                               tables.Filters(complevel=1))

# Append an array to this table
hdfarray.append(
    np.array([[1, 2, 3], [3, 2, 1]], dtype=np.uint8).reshape(2, 1, 3))
hdfarray.append(
    np.array([[1, 2, 3], [3, 2, 1], [2, 4, 6], [6, 4, 2]],
             dtype=np.uint8).reshape(2, 2, 3) * 2)
# The next should give a type error:
# hdfarray.append(array([[1,0,1],[0,0,1]], dtype=Bool).reshape(2,1,3))

# Close the file
fileh.close()

# Open the file for reading
fileh = tables.open_file(filename, mode="r")
# Get the root group
root = fileh.root

a = root.array_c.read()
print("Character array -->", repr(a), a.shape)
a = root.array_e.read()
print("Empty array (yes, this is suported) -->", repr(a), a.shape)
a = root.array_b.read(step=2)
print("Int8 array, even rows (step = 2) -->", repr(a), a.shape)

print("Testing iterator:", end=' ')
# for x in root.array_b.iterrows(step=2):
for x in root.array_b:
    print("nrow-->", root.array_b.nrow)
    print("Element-->", x)

print("Testing getitem:")
for i in range(root.array_b.shape[0]):
    print("array_b[" + str(i) + "]", "-->", root.array_b[i])
# The nrows counts the growing dimension, which is different from the
# first index
for i in range(root.array_b.nrows):
    print("array_b[:," + str(i) + ",:]", "-->", root.array_b[:, i, :])
print("array_c[1:2]", repr(root.array_c[1:2]))
print("array_c[1:3]", repr(root.array_c[1:3]))
print("array_b[:]", root.array_b[:])

print(repr(root.array_c))
# Close the file
fileh.close()
