NVIDIA / NVIDIA/cudf

[BUG] cuDF cannot concat single level index frame with multiIndex frame

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bug Python
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C++
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Description

**Describe the bug**
Exception is raised when concatenating a single level index frame with a multiIndex frame

**Steps/Code to reproduce bug**
```python
>>> midx = cudf.MultiIndex.from_tuples([(1, 2), (3, 4)])
>>> df1 = cudf.DataFrame([1, 1], index=midx)
>>> df2 = cudf.DataFrame([2, 2])
>>> cudf.concat([df1, df2])
Traceback (most recent call last):
File "", line 1, in
File "/home/yhw/dev/rapids/cudf/python/cudf/cudf/core/reshape.py", line 384, in concat
result = cudf.DataFrame._concat(
File "/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/lib/python3.8/contextlib.py", line 75, in inner
return func(*args, **kwds)
File "/home/yhw/dev/rapids/cudf/python/cudf/cudf/core/dataframe.py", line 1482, in _concat
# order. This strips the given index/column names and replaces the
File "/home/yhw/dev/rapids/cudf/python/cudf/cudf/core/dataframe.py", line 6800, in _cast_cols_to_common_dtypes
IndexError: list assignment index out of range
```

**Expected behavior**
Match pandas.
```python
>>> pd.concat([df1.to_pandas(), df2.to_pandas()])
0
(1, 2) 1
(3, 4) 1
0 2
1 2
```

**Environment overview (please complete the following information)**
- Environment location: [compose]
- Method of cuDF install: [compose]

**Environment details**
Click here to see environment details

     

**git***
commit 86d8c6ea68b2886366251f21f421727657cf1a83 (HEAD -> catogorical_refactor, origin/catogorical_refactor)
Author: Michael Wang
Date: Mon Nov 29 10:54:48 2021 -0800

remove stale test code and some mypy fixes
**git submodules***

***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=20.04
DISTRIB_CODENAME=focal
DISTRIB_DESCRIPTION="Ubuntu 20.04.3 LTS"
NAME="Ubuntu"
VERSION="20.04.3 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.3 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focal
Linux yhw-HP-Z8-G4-Workstation 5.11.0-40-generic #44~20.04.2-Ubuntu SMP Tue Oct 26 18:07:44 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

***GPU Information***
Mon Dec 6 16:21:45 2021
+-----------------------------------------------------------------------------+
| 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 Quadro RTX 8000 On | 00000000:15:00.0 Off | Off |
| 34% 42C P8 28W / 260W | 958MiB / 48601MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+

***CPU***
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 46 bits physical, 48 bits virtual
CPU(s): 12
On-line CPU(s) list: 0-11
Thread(s) per core: 2
Core(s) per socket: 6
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz
Stepping: 4
CPU MHz: 1934.972
CPU max MHz: 3700.0000
CPU min MHz: 1200.0000
BogoMIPS: 6800.00
Virtualization: VT-x
L1d cache: 192 KiB
L1i cache: 192 KiB
L2 cache: 6 MiB
L3 cache: 19.3 MiB
NUMA node0 CPU(s): 0-11
Vulnerability Itlb multihit: KVM: Mitigation: VMX disabled
Vulnerability L1tf: Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable
Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Meltdown: Mitigation; PTI
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Full generic retpoline, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT vulnerable
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d

***CMake***
/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/bin/cmake
cmake version 3.21.3

CMake suite maintained and supported by Kitware (kitware.com/cmake).

***g++***
/usr/local/bin/g++
g++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0
Copyright (C) 2019 Free Software Foundation, Inc.
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/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Mon_Sep_13_19:13:29_PDT_2021
Cuda compilation tools, release 11.5, V11.5.50
Build cuda_11.5.r11.5/compiler.30411180_0

***Python***
/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/bin/python
Python 3.8.12

***Environment Variables***
PATH : /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/bin:/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin
LD_LIBRARY_PATH : /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids/lib:/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/lib:/home/yhw/dev/rapids/rmm/build/release:/home/yhw/dev/rapids/cudf/cpp/build/release:/home/yhw/dev/rapids/raft/cpp/build/release:/home/yhw/dev/rapids/cuml/cpp/build/release:/home/yhw/dev/rapids/cugraph/cpp/build/release:/home/yhw/dev/rapids/cuspatial/cpp/build/release
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids
PYTHON_PATH :

***conda packages***
/home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/bin/conda
# packages in environment at /home/yhw/dev/rapids/compose/etc/conda/cuda_11.5/envs/rapids:
#
# Name Version Build Channel
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_openmp_mutex 4.5 1_llvm conda-forge
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appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 21.1.0 py38h497a2fe_2 conda-forge
arrow-cpp 5.0.0 py38h5b78be3_17_cuda conda-forge
arrow-cpp-proc 3.0.0 cuda conda-forge
async_generator 1.10 py_0 conda-forge
attrs 21.2.0 pyhd8ed1ab_0 conda-forge
aws-c-auth 0.6.7 hfef2836_0 conda-forge
aws-c-cal 0.5.12 h70efedd_7 conda-forge
aws-c-common 0.6.17 h7f98852_0 conda-forge
aws-c-compression 0.2.14 h7c7754b_7 conda-forge
aws-c-event-stream 0.2.7 hb80ed28_31 conda-forge
aws-c-http 0.6.10 h58a30cf_2 conda-forge
aws-c-io 0.10.13 he836878_5 conda-forge
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aws-c-s3 0.1.27 hae5f17b_11 conda-forge
aws-c-sdkutils 0.1.1 h7c7754b_4 conda-forge
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backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
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recommonmark 0.7.1 pyhd8ed1ab_0 conda-forge
regex 2021.11.10 py38h497a2fe_0 conda-forge
requests 2.26.0 pyhd8ed1ab_1 conda-forge
rhash 1.4.1 h7f98852_0 conda-forge
s2n 1.3.0 h9b69904_0 conda-forge
sacremoses 0.0.46 pyhd8ed1ab_0 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 59.4.0 py38h578d9bd_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sleef 3.5.1 h9b69904_2 conda-forge
snappy 1.1.8 he1b5a44_3 conda-forge
snowballstemmer 2.2.0 pyhd8ed1ab_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3 pyhd8ed1ab_0 conda-forge
spdlog 1.8.5 h4bd325d_0 conda-forge
sphinx 4.3.1 pyh6c4a22f_0 conda-forge
sphinx-copybutton 0.4.0 pyhd8ed1ab_0 conda-forge
sphinx-markdown-tables 0.0.15 pyhd3deb0d_0 conda-forge
sphinxcontrib-applehelp 1.0.2 py_0 conda-forge
sphinxcontrib-devhelp 1.0.2 py_0 conda-forge
sphinxcontrib-htmlhelp 2.0.0 pyhd8ed1ab_0 conda-forge
sphinxcontrib-jsmath 1.0.1 py_0 conda-forge
sphinxcontrib-qthelp 1.0.3 py_0 conda-forge
sphinxcontrib-serializinghtml 1.1.5 pyhd8ed1ab_1 conda-forge
sphinxcontrib-websupport 1.2.4 pyhd8ed1ab_1 conda-forge
sqlite 3.37.0 h9cd32fc_0 conda-forge
streamz 0.6.3 pyh6c4a22f_0 conda-forge
sysroot_linux-64 2.12 he073ed8_15 conda-forge
tbb 2021.4.0 h4bd325d_1 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
terminado 0.12.1 py38h578d9bd_1 conda-forge
testpath 0.5.0 pyhd8ed1ab_0 conda-forge
tk 8.6.11 h27826a3_1 conda-forge
tokenizers 0.10.3 py38hb63a372_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
toolz 0.11.2 pyhd8ed1ab_0 conda-forge
tornado 6.1 py38h497a2fe_2 conda-forge
tqdm 4.62.3 pyhd8ed1ab_0 conda-forge
traitlets 5.1.1 pyhd8ed1ab_0 conda-forge
transformers 4.10.3 pyhd8ed1ab_0 conda-forge
typed-ast 1.4.3 py38h497a2fe_1 conda-forge
typing-extensions 4.0.1 hd8ed1ab_0 conda-forge
typing_extensions 4.0.1 pyha770c72_0 conda-forge
urllib3 1.26.7 pyhd8ed1ab_0 conda-forge
urwid 2.1.2 pypi_0 pypi
urwid-readline 0.13 pypi_0 pypi
virtualenv 20.4.7 py38h578d9bd_1 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.37.0 pyhd8ed1ab_1 conda-forge
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zict 2.0.0 py_0 conda-forge
zipp 3.6.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h36c2ea0_1013 conda-forge
zstd 1.5.0 ha95c52a_0 conda-forge

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