---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[13], line 16
     13             geds_list.append(ch)
     15 for ch in geds_list:
---> 16     chobj, _ = store.read(f'{ch}/raw', input_raw, idx=np.arange(1,5000))
     18     # print(chobj)
     19 print(geds_list)

File ~/Documents/uw/l200/gofast/temp/legend-pydataobj/src/lgdo/lh5/store.py:151, in LH5Store.read(self, name, lh5_file, start_row, n_rows, idx, use_h5idx, field_mask, obj_buf, obj_buf_start, decompress)
    148 else:
    149     lh5_file = self.gimme_file(lh5_file, "r")
--> 151 return _serializers._h5_read_lgdo(
    152     name,
    153     lh5_file,
    154     start_row=start_row,
    155     n_rows=n_rows,
    156     idx=idx,
    157     use_h5idx=use_h5idx,
    158     field_mask=field_mask,
    159     obj_buf=obj_buf,
    160     obj_buf_start=obj_buf_start,
    161     decompress=decompress,
    162 )

File ~/Documents/uw/l200/gofast/temp/legend-pydataobj/src/lgdo/lh5/_serializers/read/composite.py:166, in _h5_read_lgdo(name, h5f, start_row, n_rows, idx, use_h5idx, field_mask, obj_buf, obj_buf_start, decompress)
    163         idx = (idxa[:n_rows],)  # works even if n_rows > len(idxa)
    165 if lgdotype is Table:
--> 166     return _h5_read_table(
    167         name,
    168         h5f,
    169         start_row=start_row,
    170         n_rows=n_rows,
    171         idx=idx,
    172         use_h5idx=use_h5idx,
    173         field_mask=field_mask,
    174         obj_buf=obj_buf,
    175         obj_buf_start=obj_buf_start,
    176         decompress=decompress,
    177     )
    179 if lgdotype is ArrayOfEncodedEqualSizedArrays:
    180     return _h5_read_array_of_encoded_equalsized_arrays(
    181         name,
    182         h5f,
   (...)
    189         decompress=decompress,
    190     )

File ~/Documents/uw/l200/gofast/temp/legend-pydataobj/src/lgdo/lh5/_serializers/read/composite.py:344, in _h5_read_table(name, h5f, start_row, n_rows, idx, use_h5idx, field_mask, obj_buf, obj_buf_start, decompress)
    340         raise LH5DecodeError(msg, h5f, name)
    342     fld_buf = obj_buf[field]
--> 344 col_dict[field], n_rows_read = _h5_read_lgdo(
    345     f"{name}/{field}",
    346     h5f,
    347     start_row=start_row,
    348     n_rows=n_rows,
    349     idx=idx,
    350     use_h5idx=use_h5idx,
    351     obj_buf=fld_buf,
    352     obj_buf_start=obj_buf_start,
    353     decompress=decompress,
    354 )
    356 if obj_buf is not None and obj_buf_start + n_rows_read > len(obj_buf):
    357     obj_buf.resize(obj_buf_start + n_rows_read)

File ~/Documents/uw/l200/gofast/temp/legend-pydataobj/src/lgdo/lh5/_serializers/read/composite.py:206, in _h5_read_lgdo(name, h5f, start_row, n_rows, idx, use_h5idx, field_mask, obj_buf, obj_buf_start, decompress)
    193     return _h5_read_vector_of_encoded_vectors(
    194         name,
    195         h5f,
   (...)
    202         decompress=decompress,
    203     )
    205 if lgdotype is VectorOfVectors:
--> 206     return _h5_read_vector_of_vectors(
    207         name,
    208         h5f,
    209         start_row=start_row,
    210         n_rows=n_rows,
    211         idx=idx,
    212         use_h5idx=use_h5idx,
    213         obj_buf=obj_buf,
    214         obj_buf_start=obj_buf_start,
    215     )
    217 if lgdotype is FixedSizeArray:
    218     return _h5_read_fixedsize_array(
    219         name,
    220         h5f,
   (...)
    226         obj_buf_start=obj_buf_start,
    227     )

File ~/Documents/uw/l200/gofast/temp/legend-pydataobj/src/lgdo/lh5/_serializers/read/vector_of_vectors.py:80, in _h5_read_vector_of_vectors(name, h5f, start_row, n_rows, idx, use_h5idx, obj_buf, obj_buf_start)
     76     fd_start = fd_starts[0]
     78 # compute the length that flattened_data will have after the
     79 # fancy-indexed read
---> 80 fd_n_rows = np.sum(this_cumulen_nda[-len(fd_starts) :] - fd_starts)
     81 if fd_start == 0:
     82     fd_n_rows += this_cumulen_nda[0]

ValueError: operands could not be broadcast together with shapes (3033,) (3034,)