Error trying to index Pandas Dataframe with .iloc

0

I am facing a weird issue trying to index a row of my pandas dataframe. In the code below, the line self.df.iloc[index] raises the error below. I printed the values of index, index.numpy() and len(self.df) to verify that I am not exceeding the bounds. They give a value of tensor(640) 640 649. I tried indexing the dataframe with my own value which worked so I am not sure what the error is. I also posted this on the PyTorch forums since I am not sure where the error lies..

• I am not exceeding the bounds


• I can index using my own value (eg. 640)


• I still cannot index it if I convert from tensor to numpy

Error message

Traceback (most recent call last):   File "train.py", line 532, in <module>

    main(args)   File "train.py", line 203, in main

    for batch in train_loader:   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 336, in __next__

    return self._process_next_batch(batch)   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch

    raise batch.exc_type(batch.exc_msg) TypeError: Traceback (most recent call last):   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in <listcomp>

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/home/HaziqBinRazali03/Trajectory Prediction/sgan-original/sgan/data/trajectories.py", line 204, in

__getitem__

    df = self.df.iloc[b]   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 1478, in __getitem__

    return self._getitem_axis(maybe_callable, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2091, in _getitem_axis

    return self._get_list_axis(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2070, in _get_list_axis

    return self.obj._take(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 2789, in _take

    verify=True)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/internals.py", line 4537, in take

    new_labels = self.axes[axis].take(indexer)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 2195, in take

    return self._shallow_copy(taken)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/range.py", line 267, in _shallow_copy

    return self._int64index._shallow_copy(values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/numeric.py", line 68, in _shallow_copy

    return self._shallow_copy_with_infer(values=values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 538, in _shallow_copy_with_infer

    if not len(values) and 'dtype' not in kwargs: TypeError: object of type 'numpy.int64' has no len()

The code snippet

   def __getitem__(self, index):



        print(index, index.numpy(), len(self.df))



        # get the row at index

        df = self.df.iloc[index] # doesnt work

        df = self.df.iloc[index.numpy()] # doesnt work

        df = self.df.iloc[640] # works



        # load the images and the label

        pedestrian_images = 

        pedestrian_label  = df["label"]

        for full_filename in df["full_filename"]:

            pedestrian_images.append(self.transform(Image.open(full_filename)))

        pedestrian_images = torch.stack(pedestrian_images, 0)



        return [pedestrian_images, pedestrian_label]

Part of the pandas dataframe

     unique_id  label                                      full_filename

0          112      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

1          606      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

2          327      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

3          385      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

4          736      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

5          634      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

6          534      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

7           61      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

8           40      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

9          124      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

10         165      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

11          97      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

12         559      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

13          98      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

14         190      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

15         360      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

16         478      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

17         737      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

18         633      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

19         362      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

20          95      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

21         375      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

22         301      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

23         729      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

24         240      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

25         312      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

26         537      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

27         786      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

28         585      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

29         443      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

python pandas

share|improve this question

asked Nov 20 '18 at 1:33

KongKong

5721823

add a comment | 

0

I am facing a weird issue trying to index a row of my pandas dataframe. In the code below, the line self.df.iloc[index] raises the error below. I printed the values of index, index.numpy() and len(self.df) to verify that I am not exceeding the bounds. They give a value of tensor(640) 640 649. I tried indexing the dataframe with my own value which worked so I am not sure what the error is. I also posted this on the PyTorch forums since I am not sure where the error lies..

• I am not exceeding the bounds


• I can index using my own value (eg. 640)


• I still cannot index it if I convert from tensor to numpy

Error message

Traceback (most recent call last):   File "train.py", line 532, in <module>

    main(args)   File "train.py", line 203, in main

    for batch in train_loader:   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 336, in __next__

    return self._process_next_batch(batch)   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch

    raise batch.exc_type(batch.exc_msg) TypeError: Traceback (most recent call last):   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in <listcomp>

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/home/HaziqBinRazali03/Trajectory Prediction/sgan-original/sgan/data/trajectories.py", line 204, in

__getitem__

    df = self.df.iloc[b]   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 1478, in __getitem__

    return self._getitem_axis(maybe_callable, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2091, in _getitem_axis

    return self._get_list_axis(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2070, in _get_list_axis

    return self.obj._take(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 2789, in _take

    verify=True)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/internals.py", line 4537, in take

    new_labels = self.axes[axis].take(indexer)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 2195, in take

    return self._shallow_copy(taken)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/range.py", line 267, in _shallow_copy

    return self._int64index._shallow_copy(values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/numeric.py", line 68, in _shallow_copy

    return self._shallow_copy_with_infer(values=values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 538, in _shallow_copy_with_infer

    if not len(values) and 'dtype' not in kwargs: TypeError: object of type 'numpy.int64' has no len()

The code snippet

   def __getitem__(self, index):



        print(index, index.numpy(), len(self.df))



        # get the row at index

        df = self.df.iloc[index] # doesnt work

        df = self.df.iloc[index.numpy()] # doesnt work

        df = self.df.iloc[640] # works



        # load the images and the label

        pedestrian_images = 

        pedestrian_label  = df["label"]

        for full_filename in df["full_filename"]:

            pedestrian_images.append(self.transform(Image.open(full_filename)))

        pedestrian_images = torch.stack(pedestrian_images, 0)



        return [pedestrian_images, pedestrian_label]

Part of the pandas dataframe

     unique_id  label                                      full_filename

0          112      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

1          606      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

2          327      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

3          385      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

4          736      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

5          634      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

6          534      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

7           61      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

8           40      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

9          124      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

10         165      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

11          97      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

12         559      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

13          98      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

14         190      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

15         360      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

16         478      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

17         737      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

18         633      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

19         362      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

20          95      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

21         375      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

22         301      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

23         729      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

24         240      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

25         312      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

26         537      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

27         786      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

28         585      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

29         443      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

python pandas

share|improve this question

asked Nov 20 '18 at 1:33

KongKong

5721823

add a comment | 

0

0

0

I am facing a weird issue trying to index a row of my pandas dataframe. In the code below, the line self.df.iloc[index] raises the error below. I printed the values of index, index.numpy() and len(self.df) to verify that I am not exceeding the bounds. They give a value of tensor(640) 640 649. I tried indexing the dataframe with my own value which worked so I am not sure what the error is. I also posted this on the PyTorch forums since I am not sure where the error lies..

• I am not exceeding the bounds


• I can index using my own value (eg. 640)


• I still cannot index it if I convert from tensor to numpy

Error message

Traceback (most recent call last):   File "train.py", line 532, in <module>

    main(args)   File "train.py", line 203, in main

    for batch in train_loader:   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 336, in __next__

    return self._process_next_batch(batch)   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch

    raise batch.exc_type(batch.exc_msg) TypeError: Traceback (most recent call last):   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in <listcomp>

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/home/HaziqBinRazali03/Trajectory Prediction/sgan-original/sgan/data/trajectories.py", line 204, in

__getitem__

    df = self.df.iloc[b]   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 1478, in __getitem__

    return self._getitem_axis(maybe_callable, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2091, in _getitem_axis

    return self._get_list_axis(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2070, in _get_list_axis

    return self.obj._take(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 2789, in _take

    verify=True)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/internals.py", line 4537, in take

    new_labels = self.axes[axis].take(indexer)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 2195, in take

    return self._shallow_copy(taken)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/range.py", line 267, in _shallow_copy

    return self._int64index._shallow_copy(values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/numeric.py", line 68, in _shallow_copy

    return self._shallow_copy_with_infer(values=values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 538, in _shallow_copy_with_infer

    if not len(values) and 'dtype' not in kwargs: TypeError: object of type 'numpy.int64' has no len()

The code snippet

   def __getitem__(self, index):



        print(index, index.numpy(), len(self.df))



        # get the row at index

        df = self.df.iloc[index] # doesnt work

        df = self.df.iloc[index.numpy()] # doesnt work

        df = self.df.iloc[640] # works



        # load the images and the label

        pedestrian_images = 

        pedestrian_label  = df["label"]

        for full_filename in df["full_filename"]:

            pedestrian_images.append(self.transform(Image.open(full_filename)))

        pedestrian_images = torch.stack(pedestrian_images, 0)



        return [pedestrian_images, pedestrian_label]

Part of the pandas dataframe

     unique_id  label                                      full_filename

0          112      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

1          606      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

2          327      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

3          385      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

4          736      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

5          634      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

6          534      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

7           61      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

8           40      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

9          124      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

10         165      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

11          97      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

12         559      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

13          98      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

14         190      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

15         360      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

16         478      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

17         737      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

18         633      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

19         362      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

20          95      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

21         375      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

22         301      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

23         729      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

24         240      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

25         312      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

26         537      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

27         786      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

28         585      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

29         443      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

python pandas

share|improve this question

asked Nov 20 '18 at 1:33

KongKong

5721823

I am facing a weird issue trying to index a row of my pandas dataframe. In the code below, the line self.df.iloc[index] raises the error below. I printed the values of index, index.numpy() and len(self.df) to verify that I am not exceeding the bounds. They give a value of tensor(640) 640 649. I tried indexing the dataframe with my own value which worked so I am not sure what the error is. I also posted this on the PyTorch forums since I am not sure where the error lies..

• I am not exceeding the bounds


• I can index using my own value (eg. 640)


• I still cannot index it if I convert from tensor to numpy

Error message

Traceback (most recent call last):   File "train.py", line 532, in <module>

    main(args)   File "train.py", line 203, in main

    for batch in train_loader:   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 336, in __next__

    return self._process_next_batch(batch)   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 357, in _process_next_batch

    raise batch.exc_type(batch.exc_msg) TypeError: Traceback (most recent call last):   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in _worker_loop

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/usr/local/lib/python3.5/dist-packages/torch/utils/data/dataloader.py", line 106, in <listcomp>

    samples = collate_fn([dataset[i] for i in batch_indices])   File "/home/HaziqBinRazali03/Trajectory Prediction/sgan-original/sgan/data/trajectories.py", line 204, in

__getitem__

    df = self.df.iloc[b]   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 1478, in __getitem__

    return self._getitem_axis(maybe_callable, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2091, in _getitem_axis

    return self._get_list_axis(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexing.py", line 2070, in _get_list_axis

    return self.obj._take(key, axis=axis)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/generic.py", line 2789, in _take

    verify=True)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/internals.py", line 4537, in take

    new_labels = self.axes[axis].take(indexer)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 2195, in take

    return self._shallow_copy(taken)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/range.py", line 267, in _shallow_copy

    return self._int64index._shallow_copy(values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/numeric.py", line 68, in _shallow_copy

    return self._shallow_copy_with_infer(values=values, **kwargs)   File "/usr/local/lib/python3.5/dist-packages/pandas/core/indexes/base.py", line 538, in _shallow_copy_with_infer

    if not len(values) and 'dtype' not in kwargs: TypeError: object of type 'numpy.int64' has no len()

The code snippet

   def __getitem__(self, index):



        print(index, index.numpy(), len(self.df))



        # get the row at index

        df = self.df.iloc[index] # doesnt work

        df = self.df.iloc[index.numpy()] # doesnt work

        df = self.df.iloc[640] # works



        # load the images and the label

        pedestrian_images = 

        pedestrian_label  = df["label"]

        for full_filename in df["full_filename"]:

            pedestrian_images.append(self.transform(Image.open(full_filename)))

        pedestrian_images = torch.stack(pedestrian_images, 0)



        return [pedestrian_images, pedestrian_label]

Part of the pandas dataframe

     unique_id  label                                      full_filename

0          112      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

1          606      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

2          327      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

3          385      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

4          736      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

5          634      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

6          534      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

7           61      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

8           40      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

9          124      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

10         165      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

11          97      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

12         559      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

13          98      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

14         190      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

15         360      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

16         478      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

17         737      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

18         633      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

19         362      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

20          95      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

21         375      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

22         301      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

23         729      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

24         240      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

25         312      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

26         537      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

27         786      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

28         585      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

29         443      0  [/home/HaziqBinRazali03/Trajectory Prediction/...

python pandas

python pandas

share|improve this question

asked Nov 20 '18 at 1:33

KongKong

5721823

share|improve this question

asked Nov 20 '18 at 1:33

KongKong

5721823

share|improve this question

share|improve this question

asked Nov 20 '18 at 1:33

KongKong

5721823

asked Nov 20 '18 at 1:33

KongKong

5721823

asked Nov 20 '18 at 1:33

KongKong

5721823

5721823

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