BUG: virtual_partition.wait failed if there are duplicate refs

[anmyachev]

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Reproducible Example

import numpy as np
import modin.pandas as pd

frame_c = pd.DataFrame(np.zeros((100, 20), dtype=np.float32, order="C"))
frame_c = [frame_c] * 20
df = pd.concat(frame_c)
partitions = df._query_compiler._modin_frame._partitions.flatten()
if hasattr(partitions[0], "wait"):
    all(map(lambda partition: partition.wait(), partitions))
print(df)

Issue Description

ray.wait doesn't work with duplicated refs, although it is common for pandas operations to use the same objects.

Expected Behavior

The producer must work without errors.

Error Logs

Traceback (most recent call last):
  File "test_wait.py", line 9, in <module>
    all(map(lambda partition: partition.wait(), partitions))
  File "test_wait.py", line 9, in <lambda>
    all(map(lambda partition: partition.wait(), partitions))
  File "C:\projects\modin\modin\core\execution\ray\implementations\pandas_on_ray\partitioning\virtual_partition.py", line 472, in wait
    ray.wait(futures, num_returns=len(futures))
  File "C:\Users\amyachev\Miniconda3\envs\modin\lib\site-packages\ray\_private\client_mode_hook.py", line 105, 
in wrapper
    return func(*args, **kwargs)
  File "C:\Users\amyachev\Miniconda3\envs\modin\lib\site-packages\ray\worker.py", line 1982, in wait
    raise ValueError("Wait requires a list of unique object refs.")
ValueError: Wait requires a list of unique object refs.

Installed Versions

INSTALLED VERSIONS

commit : 08a41d678490314db6f2ee95fe434fbaef90f93b
python : 3.8.13.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : English_United States.1252

Modin dependencies

modin : 0.15.0+159.g08a41d67
ray : 1.12.1
dask : 2022.01.1
distributed : 2022.01.1
hdk : None

pandas dependencies

pandas : 1.4.4
numpy : 1.23.0
pytz : 2022.1
dateutil : 2.8.2
setuptools : 59.8.0
pip : 22.1.2
Cython : None
pytest : 7.1.2
hypothesis : None
sphinx : 5.0.2
blosc : None
feather : 0.4.1
xlsxwriter : None
lxml.etree : 4.9.0
html5lib : None
pymysql : None
psycopg2 : 2.9.3
jinja2 : 3.1.2
IPython : 8.4.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli :
fastparquet : None
fsspec : 2022.5.0
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.2.2
numba : None
numexpr : 2.7.3
odfpy : None
openpyxl : 3.0.9
pandas_gbq : 0.17.6
pyarrow : 8.0.0
pyreadstat : None
pyxlsb : None
s3fs : 2022.5.0
scipy : 1.8.1
snappy : None
sqlalchemy : 1.4.39
tables : 3.7.0
tabulate : None
xarray : 2022.3.0
xlrd : 2.0.1
xlwt : None
zstandard : None