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codereport
Describe the bug Casting an int column to decimal128 type goes through
from_arrowmachinery, which seems to not have support fordecimal128.Steps/Code to reproduce bug PR needed to have decimal128 python machinery: #9533
Expected behavior
Environment overview (please complete the following information)
Environment details Please run and paste the output of the
cudf/print_env.shscript here, to gather any other relevant environment detailsClick here to see environment details
**git*** commit 66b04714522a7c84c96dd12ddedea60bab4537da (HEAD -> python_decimal128) Merge: 1902349e1c 33f7f0d032 Author: galipremsagar
Date: Thu Jan 6 06:15:40 2022 -0800
Merge remote-tracking branch 'upstream/branch-22.02' into python_decimal128
**git submodules***
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=18.04
DISTRIB_CODENAME=bionic
DISTRIB_DESCRIPTION="Ubuntu 18.04.4 LTS"
NAME="Ubuntu"
VERSION="18.04.4 LTS (Bionic Beaver)"
ID=ubuntu
ID_LIKE=debian
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/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=bionic
UBUNTU_CODENAME=bionic
Linux dt07 4.15.0-76-generic #86-Ubuntu SMP Fri Jan 17 17:24:28 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Thu Jan 6 06:42:34 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 T4 On | 00000000:3B:00.0 Off | 0 |
| N/A 47C P8 10W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 1 Tesla T4 On | 00000000:5E:00.0 Off | 0 |
| N/A 37C P8 10W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 2 Tesla T4 On | 00000000:AF:00.0 Off | 0 |
| N/A 32C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
| 3 Tesla T4 On | 00000000:D8:00.0 Off | 0 |
| N/A 32C P8 11W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
***CPU***
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 2
NUMA node(s): 2
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Gold 6130 CPU @ 2.10GHz
Stepping: 4
CPU MHz: 1541.289
BogoMIPS: 4200.00
Virtualization: VT-x
L1d cache: 32K
L1i cache: 32K
L2 cache: 1024K
L3 cache: 22528K
NUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62
NUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63
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 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 pku ospke md_clear flush_l1d
***CMake***
/nvme/0/pgali/envs/cudfdev/bin/cmake
cmake version 3.21.3
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/usr/bin/g++
g++ (Ubuntu 9.4.0-1ubuntu1~18.04) 9.4.0
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/cuda/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***
/nvme/0/pgali/envs/cudfdev/bin/python
Python 3.8.12
***Environment Variables***
PATH : /nvme/0/pgali/envs/cudfdev/bin:~/anaconda3/bin:/nvme/0/pgali/envs/cudfdev/bin:~/anaconda3/bin:/nvme/0/pgali/envs/cudfdev/bin:/home/nfs/pgali/anaconda3/condabin:/home/nfs/pgali/.vscode-server/bin/899d46d82c4c95423fb7e10e68eba52050e30ba3/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/local/cuda/bin:/usr/local/cuda/bin
LD_LIBRARY_PATH : /usr/local/cuda/lib64:/usr/local/cuda/lib64::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /nvme/0/pgali/envs/cudfdev
PYTHON_PATH :
***conda packages***
/home/nfs/pgali/anaconda3/condabin/conda
# packages in environment at /nvme/0/pgali/envs/cudfdev:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
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appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py38h497a2fe_1 conda-forge
arrow-cpp 5.0.0 py38h579a05f_22_cuda conda-forge
arrow-cpp-proc 3.0.0 cuda conda-forge
async_generator 1.10 py_0 conda-forge
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certifi 2021.10.8 py38h578d9bd_1 conda-forge
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clang 11.1.0 ha770c72_1 conda-forge
clang-11 11.1.0 default_ha53f305_1 conda-forge
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click 8.0.3 py38h578d9bd_1 conda-forge
cloudpickle 2.0.0 pyhd8ed1ab_0 conda-forge
cmake 3.21.3 h8897547_0 conda-forge
cmake_setuptools 0.1.3 py_0 rapidsai
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
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cupy 9.6.0 py38h177b0fd_0 conda-forge
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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
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 0.37.1 pyhd8ed1ab_0 conda-forge
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h7f98852_2 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 1.5.1 ha95c52a_0 conda-forge
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