[BUG] cudf.DataFrame.equals reports False for inputs with NaNs
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Description
**Describe the bug**
According to the [documentation](https://docs.rapids.ai/api/cudf/stable/api_docs/api/cudf.DataFrame.equals.html#cudf.DataFrame.equals), the result of `DataFrame.equals()` should be `True` when the two dataframes are equal, even when they contain NaNs:
> NaNs in the same location are considered equal.
However, this does not seem to be the case under certain circumstances.
**Steps/Code to reproduce bug**
The following snippet demonstrates the unexpected behavior:
```python
import numpy as np
import cudf
input_array = np.array([np.nan])
a = cudf.DataFrame(input_array)
assert a.equals(a.copy())
```
will fail with an `AssertionError`.
Curiously the following snippet does **not** fail:
```python
a = cudf.DataFrame([np.nan])
assert a.equals(a.copy())
```
**Expected behavior**
The result of `DataFrame.equals()` should be True in case that values are the same and NaNs are in the same place as described by the method's documentation.
**Environment overview (please complete the following information)**
- Environment location: Bare-metal
- Method of cuDF install: conda
**Environment details**
Click here to see environment details
**git***
Not inside a git repository
***OS Information***
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DGX_COMMIT_ID="ee09ebc"
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PRETTY_NAME="Ubuntu 18.04.4 LTS"
VERSION_ID="18.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
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***GPU Information***
Wed Nov 30 05:42:50 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05 Driver Version: 495.29.05 CUDA Version: 11.5 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla V100-SXM2... On | 00000000:06:00.0 Off | 0 |
| N/A 32C P0 55W / 300W | 668MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 Tesla V100-SXM2... On | 00000000:07:00.0 Off | 0 |
| N/A 32C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 2 Tesla V100-SXM2... On | 00000000:0A:00.0 Off | 0 |
| N/A 30C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 3 Tesla V100-SXM2... On | 00000000:0B:00.0 Off | 0 |
| N/A 29C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 4 Tesla V100-SXM2... On | 00000000:85:00.0 Off | 0 |
| N/A 30C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 5 Tesla V100-SXM2... On | 00000000:86:00.0 Off | 0 |
| N/A 30C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 6 Tesla V100-SXM2... On | 00000000:89:00.0 Off | 0 |
| N/A 31C P0 42W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 7 Tesla V100-SXM2... On | 00000000:8A:00.0 Off | 0 |
| N/A 29C P0 41W / 300W | 3MiB / 32510MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 630188 C python 665MiB |
+-----------------------------------------------------------------------------+
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cmake version 3.24.3
CMake suite maintained and supported by Kitware (kitware.com/cmake).
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This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
***nvcc***
/usr/local/cuda/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
Cuda compilation tools, release 11.5, V11.5.119
Build cuda_11.5.r11.5/compiler.30672275_0
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ucx-proc 1.0.0 gpu rapidsai
ucx-py 0.30.00a221115 py38_gb080671_0 rapidsai-nightly
ukkonen 1.0.1 py38h43d8883_3 conda-forge
umap-learn 0.5.3 py38h578d9bd_0 conda-forge
unicodedata2 15.0.0 py38h0a891b7_0 conda-forge
urllib3 1.26.11 pyhd8ed1ab_0 conda-forge
versioneer 0.28 pyhd8ed1ab_0 conda-forge
virtualenv 20.16.5 py38h578d9bd_1 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.4.2 pyhd8ed1ab_0 conda-forge
websockets 10.4 py38h0a891b7_1 conda-forge
werkzeug 2.1.2 pyhd8ed1ab_1 conda-forge
wheel 0.38.3 pyhd8ed1ab_0 conda-forge
widgetsnbextension 4.0.3 pyhd8ed1ab_0 conda-forge
wrapt 1.14.1 py38h0a891b7_1 conda-forge
xarray 2022.11.0 pyhd8ed1ab_0 conda-forge
xerces-c 3.2.4 h55805fa_1 conda-forge
xmltodict 0.13.0 pyhd8ed1ab_0 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.0.10 h7f98852_0 conda-forge
xorg-libsm 1.2.3 hd9c2040_1000 conda-forge
xorg-libx11 1.7.2 h7f98852_0 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h7f98852_1 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xyzservices 2022.9.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.8.1 py38h0a891b7_0 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zfp 1.0.0 h27087fc_3 conda-forge
zict 2.2.0 pyhd8ed1ab_0 conda-forge
zipp 3.10.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zlib-ng 2.0.6 h166bdaf_0 conda-forge
zstd 1.5.2 h6239696_4 conda-forge
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