import os import unittest import numpy as np from fastNLP.core.dataset import DataSet, FieldArray, Instance, ApplyResultException class TestDataSetInit(unittest.TestCase): """初始化DataSet的办法有以下几种： 1) 用dict: 1.1) 二维list DataSet({"x": [[1, 2], [3, 4]]}) 1.2) 二维array DataSet({"x": np.array([[1, 2], [3, 4]])}) 1.3) 三维list DataSet({"x": [[[1, 2], [3, 4]], [[1, 2], [3, 4]]]}) 2) 用list of Instance: 2.1) 一维list DataSet([Instance(x=[1, 2, 3, 4])]) 2.2) 一维array DataSet([Instance(x=np.array([1, 2, 3, 4]))]) 2.3) 二维list DataSet([Instance(x=[[1, 2], [3, 4]])]) 2.4) 二维array DataSet([Instance(x=np.array([[1, 2], [3, 4]]))]) 只接受纯list或者最外层ndarray """ def test_init_v1(self): # 一维list ds = DataSet([Instance(x=[1, 2, 3, 4], y=[5, 6])] * 40) self.assertTrue("x" in ds.field_arrays and "y" in ds.field_arrays) self.assertEqual(ds.field_arrays["x"].content, [[1, 2, 3, 4], ] * 40) self.assertEqual(ds.field_arrays["y"].content, [[5, 6], ] * 40) def test_init_v2(self): # 用dict ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) self.assertTrue("x" in ds.field_arrays and "y" in ds.field_arrays) self.assertEqual(ds.field_arrays["x"].content, [[1, 2, 3, 4], ] * 40) self.assertEqual(ds.field_arrays["y"].content, [[5, 6], ] * 40) def test_init_assert(self): with self.assertRaises(AssertionError): _ = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 100}) with self.assertRaises(AssertionError): _ = DataSet([[1, 2, 3, 4]] * 10) with self.assertRaises(ValueError): _ = DataSet(0.00001) class TestDataSetMethods(unittest.TestCase): def test_append(self): dd = DataSet() for _ in range(3): dd.append(Instance(x=[1, 2, 3, 4], y=[5, 6])) self.assertEqual(len(dd), 3) self.assertEqual(dd.field_arrays["x"].content, [[1, 2, 3, 4]] * 3) self.assertEqual(dd.field_arrays["y"].content, [[5, 6]] * 3) def test_add_field(self): dd = DataSet() dd.add_field("x", [[1, 2, 3]] * 10) dd.add_field("y", [[1, 2, 3, 4]] * 10) dd.add_field("z", [[5, 6]] * 10) self.assertEqual(len(dd), 10) self.assertEqual(dd.field_arrays["x"].content, [[1, 2, 3]] * 10) self.assertEqual(dd.field_arrays["y"].content, [[1, 2, 3, 4]] * 10) self.assertEqual(dd.field_arrays["z"].content, [[5, 6]] * 10) with self.assertRaises(RuntimeError): dd.add_field("??", [[1, 2]] * 40) def test_delete_field(self): dd = DataSet() dd.add_field("x", [[1, 2, 3]] * 10) dd.add_field("y", [[1, 2, 3, 4]] * 10) dd.delete_field("x") self.assertFalse("x" in dd.field_arrays) self.assertTrue("y" in dd.field_arrays) def test_delete_instance(self): dd = DataSet() old_length = 2 dd.add_field("x", [[1, 2, 3]] * old_length) dd.add_field("y", [[1, 2, 3, 4]] * old_length) dd.delete_instance(0) self.assertEqual(len(dd), old_length - 1) dd.delete_instance(0) self.assertEqual(len(dd), old_length - 2) def test_getitem(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) ins_1, ins_0 = ds[0], ds[1] self.assertTrue(isinstance(ins_1, Instance) and isinstance(ins_0, Instance)) self.assertEqual(ins_1["x"], [1, 2, 3, 4]) self.assertEqual(ins_1["y"], [5, 6]) self.assertEqual(ins_0["x"], [1, 2, 3, 4]) self.assertEqual(ins_0["y"], [5, 6]) sub_ds = ds[:10] self.assertTrue(isinstance(sub_ds, DataSet)) self.assertEqual(len(sub_ds), 10) sub_ds_1 = ds[[10, 0, 2, 3]] self.assertTrue(isinstance(sub_ds_1, DataSet)) self.assertEqual(len(sub_ds_1), 4) field_array = ds['x'] self.assertTrue(isinstance(field_array, FieldArray)) self.assertEqual(len(field_array), 40) def test_get_item_error(self): with self.assertRaises(RuntimeError): ds = DataSet({"x": [[1, 2, 3, 4]] * 10, "y": [[5, 6]] * 10}) _ = ds[40:] with self.assertRaises(KeyError): ds = DataSet({"x": [[1, 2, 3, 4]] * 10, "y": [[5, 6]] * 10}) _ = ds["kom"] def test_len_(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) self.assertEqual(len(ds), 40) ds = DataSet() self.assertEqual(len(ds), 0) def test_add_fieldarray(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) ds.add_fieldarray('z', FieldArray('z', [[7, 8]]*40)) self.assertEqual(ds['z'].content, [[7, 8]]*40) with self.assertRaises(RuntimeError): ds.add_fieldarray('z', FieldArray('z', [[7, 8]]*10)) with self.assertRaises(TypeError): ds.add_fieldarray('z', [1, 2, 4]) def test_copy_field(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) ds.copy_field('x', 'z') self.assertEqual(ds['x'].content, ds['z'].content) def test_has_field(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) self.assertTrue(ds.has_field('x')) self.assertFalse(ds.has_field('z')) def test_get_field(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) with self.assertRaises(KeyError): ds.get_field('z') x_array = ds.get_field('x') self.assertEqual(x_array.content, [[1, 2, 3, 4]] * 40) def test_get_all_fields(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) field_arrays = ds.get_all_fields() self.assertEqual(field_arrays["x"], [[1, 2, 3, 4]] * 40) self.assertEqual(field_arrays['y'], [[5, 6]] * 40) def test_get_field_names(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) field_names = ds.get_field_names() self.assertTrue('x' in field_names) self.assertTrue('y' in field_names) def test_apply(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 4000, "y": [[5, 6]] * 4000}) ds.apply(lambda ins: ins["x"][::-1], new_field_name="rx", progress_desc='rx') self.assertTrue("rx" in ds.field_arrays) self.assertEqual(ds.field_arrays["rx"].content[0], [4, 3, 2, 1]) ds.apply(lambda ins: len(ins["y"]), new_field_name="y", show_progress_bar=False) self.assertEqual(ds.field_arrays["y"].content[0], 2) res = ds.apply(lambda ins: len(ins["x"]), num_proc=0, progress_desc="len") self.assertTrue(isinstance(res, list) and len(res) > 0) self.assertTrue(res[0], 4) ds.apply(lambda ins: (len(ins["x"]), "hahaha"), new_field_name="k") # expect no exception raised def test_apply_progress_bar(self): import time ds = DataSet({"x": [[1, 2, 3, 4]] * 400, "y": [[5, 6]] * 400}) def do_nothing(ins): time.sleep(0.01) ds.apply(do_nothing, show_progress_bar=True, num_proc=0) ds.apply_field(do_nothing, field_name='x', show_progress_bar=True) def test_apply_cannot_modify_instance(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) def modify_inplace(instance): instance['words'] = 1 ds.apply(modify_inplace) # with self.assertRaises(TypeError): # ds.apply(modify_inplace) def test_apply_more(self): T = DataSet({"a": [1, 2, 3], "b": [2, 4, 5]}) func_1 = lambda x: {"c": x["a"] * 2, "d": x["a"] ** 2} func_2 = lambda x: {"c": x * 3, "d": x ** 3} def func_err_1(x): if x["a"] == 1: return {"e": x["a"] * 2, "f": x["a"] ** 2} else: return {"e": x["a"] * 2} def func_err_2(x): if x == 1: return {"e": x * 2, "f": x ** 2} else: return {"e": x * 2} T.apply_more(func_1) # print(T['c'][0, 1, 2]) self.assertEqual(list(T["c"].content), [2, 4, 6]) self.assertEqual(list(T["d"].content), [1, 4, 9]) res = T.apply_field_more(func_2, "a", modify_fields=False) self.assertEqual(list(T["c"].content), [2, 4, 6]) self.assertEqual(list(T["d"].content), [1, 4, 9]) self.assertEqual(list(res["c"]), [3, 6, 9]) self.assertEqual(list(res["d"]), [1, 8, 27]) with self.assertRaises(ApplyResultException) as e: T.apply_more(func_err_1) print(e) with self.assertRaises(ApplyResultException) as e: T.apply_field_more(func_err_2, "a") print(e) def test_drop(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6], [7, 8, 9, 0]] * 20}) ds.drop(lambda ins: len(ins["y"]) < 3, inplace=True) self.assertEqual(len(ds), 20) def test_contains(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 40, "y": [[5, 6]] * 40}) self.assertTrue("x" in ds) self.assertTrue("y" in ds) self.assertFalse("z" in ds) def test_rename_field(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 10, "y": [[5, 6]] * 10}) ds.rename_field("x", "xx") self.assertTrue("xx" in ds) self.assertFalse("x" in ds) with self.assertRaises(KeyError): ds.rename_field("yyy", "oo") def test_split(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 10, "y": [[5, 6]] * 10}) d1, d2 = ds.split(0.1) self.assertEqual(len(d1), len(ds)*0.9) self.assertEqual(len(d2), len(ds)*0.1) def test_add_field_v2(self): ds = DataSet({"x": [3, 4]}) ds.add_field('y', [['hello', 'world'], ['this', 'is', 'a', 'test']]) # ds.apply(lambda x:[x['x']]*3, new_field_name='y') print(ds) def test_save_load(self): ds = DataSet({"x": [[1, 2, 3, 4]] * 10, "y": [[5, 6]] * 10}) ds.save("./my_ds.pkl") self.assertTrue(os.path.exists("./my_ds.pkl")) ds_1 = DataSet.load("./my_ds.pkl") os.remove("my_ds.pkl") def test_add_null(self): ds = DataSet() with self.assertRaises(RuntimeError) as RE: ds.add_field('test', []) def test_concat(self): """ 测试两个dataset能否正确concat """ ds1 = DataSet({"x": [[1, 2, 3, 4] for _ in range(10)], "y": [[5, 6] for _ in range(10)]}) ds2 = DataSet({"x": [[4, 3, 2, 1] for _ in range(10)], "y": [[6, 5] for _ in range(10)]}) ds3 = ds1.concat(ds2) self.assertEqual(len(ds3), 20) self.assertListEqual(ds1[9]['x'], [1, 2, 3, 4]) self.assertListEqual(ds1[10]['x'], [4, 3, 2, 1]) ds2[0]['x'][0] = 100 self.assertEqual(ds3[10]['x'][0], 4) # 不改变copy后的field了 ds3[10]['x'][0] = -100 self.assertEqual(ds2[0]['x'][0], 100) # 不改变copy前的field了 # 测试inplace ds1 = DataSet({"x": [[1, 2, 3, 4] for i in range(10)], "y": [[5, 6] for i in range(10)]}) ds2 = DataSet({"x": [[4, 3, 2, 1] for i in range(10)], "y": [[6, 5] for i in range(10)]}) ds3 = ds1.concat(ds2, inplace=True) ds2[0]['x'][0] = 100 self.assertEqual(ds3[10]['x'][0], 4) # 不改变copy后的field了 ds3[10]['x'][0] = -100 self.assertEqual(ds2[0]['x'][0], 100) # 不改变copy前的field了 ds3[0]['x'][0] = 100 self.assertEqual(ds1[0]['x'][0], 100) # 改变copy前的field了 # 测试mapping ds1 = DataSet({"x": [[1, 2, 3, 4] for i in range(10)], "y": [[5, 6] for i in range(10)]}) ds2 = DataSet({"X": [[4, 3, 2, 1] for i in range(10)], "Y": [[6, 5] for i in range(10)]}) ds3 = ds1.concat(ds2, field_mapping={'X': 'x', 'Y': 'y'}) self.assertEqual(len(ds3), 20) # 测试忽略掉多余的 ds1 = DataSet({"x": [[1, 2, 3, 4] for i in range(10)], "y": [[5, 6] for i in range(10)]}) ds2 = DataSet({"X": [[4, 3, 2, 1] for i in range(10)], "Y": [[6, 5] for i in range(10)], 'Z': [0] * 10}) ds3 = ds1.concat(ds2, field_mapping={'X': 'x', 'Y': 'y'}) # 测试报错 ds1 = DataSet({"x": [[1, 2, 3, 4] for i in range(10)], "y": [[5, 6] for i in range(10)]}) ds2 = DataSet({"X": [[4, 3, 2, 1] for i in range(10)]}) with self.assertRaises(RuntimeError): ds3 = ds1.concat(ds2, field_mapping={'X': 'x'}) def test_instance_field_disappear_bug(self): data = DataSet({'raw_chars': [[0, 1], [2]], 'target': [0, 1]}) data.copy_field(field_name='raw_chars', new_field_name='chars') _data = data[:1] for field_name in ['raw_chars', 'target', 'chars']: self.assertTrue(_data.has_field(field_name)) def test_from_pandas(self): import pandas as pd df = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]}) ds = DataSet.from_pandas(df) print(ds) self.assertEqual(ds['x'].content, [1, 2, 3]) self.assertEqual(ds['y'].content, [4, 5, 6]) def test_to_pandas(self): ds = DataSet({'x': [1, 2, 3], 'y': [4, 5, 6]}) df = ds.to_pandas() def test_to_csv(self): ds = DataSet({'x': [1, 2, 3], 'y': [4, 5, 6]}) ds.to_csv("1.csv") self.assertTrue(os.path.exists("1.csv")) os.remove("1.csv") def test_add_collate_fn(self): ds = DataSet({'x': [1, 2, 3], 'y': [4, 5, 6]}) def collate_fn(item): return item ds.add_collate_fn(collate_fn) self.assertEqual(len(ds.collate_fns.collators), 2) def test_get_collator(self): from typing import Callable ds = DataSet({'x': [1, 2, 3], 'y': [4, 5, 6]}) collate_fn = ds.get_collator() self.assertEqual(isinstance(collate_fn, Callable), True) def test_add_seq_len(self): ds = DataSet({'x': [[1, 2], [2, 3 , 4], [3]], 'y': [4, 5, 6]}) ds.add_seq_len('x') print(ds) def test_set_target(self): ds = DataSet({'x': [[1, 2], [2, 3 , 4], [3]], 'y': [4, 5, 6]}) ds.set_target('x') class TestFieldArrayInit(unittest.TestCase): """ 1） 如果DataSet使用dict初始化，那么在add_field中会构造FieldArray： 1.1) 二维list DataSet({"x": [[1, 2], [3, 4]]}) 1.2) 二维array DataSet({"x": np.array([[1, 2], [3, 4]])}) 1.3) 三维list DataSet({"x": [[[1, 2], [3, 4]], [[1, 2], [3, 4]]]}) 2） 如果DataSet使用list of Instance 初始化,那么在append中会先对第一个样本初始化FieldArray； 然后后面的样本使用FieldArray.append进行添加。 2.1) 一维list DataSet([Instance(x=[1, 2, 3, 4])]) 2.2) 一维array DataSet([Instance(x=np.array([1, 2, 3, 4]))]) 2.3) 二维list DataSet([Instance(x=[[1, 2], [3, 4]])]) 2.4) 二维array DataSet([Instance(x=np.array([[1, 2], [3, 4]]))]) """ def test_init_v1(self): # 二维list fa = FieldArray("x", [[1, 2], [3, 4]] * 5) def test_init_v2(self): # 二维array fa = FieldArray("x", np.array([[1, 2], [3, 4]] * 5)) def test_init_v3(self): # 三维list fa = FieldArray("x", [[[1, 2], [3, 4]], [[1, 2], [3, 4]]]) def test_init_v4(self): # 一维list val = [1, 2, 3, 4] fa = FieldArray("x", [val]) fa.append(val) def test_init_v5(self): # 一维array val = np.array([1, 2, 3, 4]) fa = FieldArray("x", [val]) fa.append(val) def test_init_v6(self): # 二维array val = [[1, 2], [3, 4]] fa = FieldArray("x", [val]) fa.append(val) def test_init_v7(self): # list of array fa = FieldArray("x", [np.array([[1, 2], [3, 4]]), np.array([[1, 2], [3, 4]])]) def test_init_v8(self): # 二维list val = np.array([[1, 2], [3, 4]]) fa = FieldArray("x", [val]) fa.append(val) class TestFieldArray(unittest.TestCase): def test_main(self): fa = FieldArray("x", [1, 2, 3, 4, 5]) self.assertEqual(len(fa), 5) fa.append(6) self.assertEqual(len(fa), 6) self.assertEqual(fa[-1], 6) self.assertEqual(fa[0], 1) fa[-1] = 60 self.assertEqual(fa[-1], 60) self.assertEqual(fa.get(0), 1) self.assertTrue(isinstance(fa.get([0, 1, 2]), np.ndarray)) self.assertListEqual(list(fa.get([0, 1, 2])), [1, 2, 3]) def test_getitem_v1(self): fa = FieldArray("y", [[1.1, 2.2, 3.3, 4.4, 5.5], [1.0, 2.0, 3.0, 4.0, 5.0]]) self.assertEqual(fa[0], [1.1, 2.2, 3.3, 4.4, 5.5]) ans = fa[[0, 1]] self.assertTrue(isinstance(ans, np.ndarray)) self.assertTrue(isinstance(ans[0], np.ndarray)) self.assertEqual(ans[0].tolist(), [1.1, 2.2, 3.3, 4.4, 5.5]) self.assertEqual(ans[1].tolist(), [1, 2, 3, 4, 5]) self.assertEqual(ans.dtype, np.float64) def test_getitem_v2(self): x = np.random.rand(10, 5) fa = FieldArray("my_field", x) indices = [0, 1, 3, 4, 6] for a, b in zip(fa[indices], x[indices]): self.assertListEqual(a.tolist(), b.tolist()) def test_append(self): fa = FieldArray("y", [[1.1, 2.2, 3.3, 4.4, 5.5], [1.0, 2.0, 3.0, 4.0, 5.0]]) fa.append([1.2, 2.3, 3.4, 4.5, 5.6]) self.assertEqual(len(fa), 3) self.assertEqual(fa[2], [1.2, 2.3, 3.4, 4.5, 5.6]) def test_pop(self): fa = FieldArray("y", [[1.1, 2.2, 3.3, 4.4, 5.5], [1.0, 2.0, 3.0, 4.0, 5.0]]) fa.pop(0) self.assertEqual(len(fa), 1) self.assertEqual(fa[0], [1.0, 2.0, 3.0, 4.0, 5.0]) fa[0] = [1.1, 2.2, 3.3, 4.4, 5.5] self.assertEqual(fa[0], [1.1, 2.2, 3.3, 4.4, 5.5]) class TestCase(unittest.TestCase): def test_init(self): fields = {"x": [1, 2, 3], "y": [4, 5, 6]} ins = Instance(x=[1, 2, 3], y=[4, 5, 6]) self.assertTrue(isinstance(ins.fields, dict)) self.assertEqual(ins.fields, fields) ins = Instance(**fields) self.assertEqual(ins.fields, fields) def test_add_field(self): fields = {"x": [1, 2, 3], "y": [4, 5, 6]} ins = Instance(**fields) ins.add_field("z", [1, 1, 1]) fields.update({"z": [1, 1, 1]}) self.assertEqual(ins.fields, fields) def test_get_item(self): fields = {"x": [1, 2, 3], "y": [4, 5, 6], "z": [1, 1, 1]} ins = Instance(**fields) self.assertEqual(ins["x"], [1, 2, 3]) self.assertEqual(ins["y"], [4, 5, 6]) self.assertEqual(ins["z"], [1, 1, 1]) def test_repr(self): fields = {"x": [1, 2, 3], "y": [4, 5, 6], "z": [1, 1, 1]} ins = Instance(**fields) # simple print, that is enough. print(ins)