|
- 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)
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