[FEA]: Support binary predicates with GeoSeries - shapely.geometry object #1316
Open
Description
Version
23.12.01
On which installation method(s) does this occur?
Conda
Describe the issue
Method within does not work as expected when used with a single polygon object.
Minimum reproducible example
import cuspatial
import geopandas
from shapely.geometry import Polygon, LineString, Poin
s = geopandas.GeoSeries(
[
Polygon([(0, 0), (2, 2), (0, 2)]),
Polygon([(0, 0), (1, 2), (0, 2)]),
LineString([(0, 0), (0, 2)]),
Point(0, 1),
],
)
polygon = Polygon([(0, 0), (2, 2), (0, 2)])
s_cu = cuspatial.from_geopandas(s)
s.within(polygon) # works
s_cu.within(polygon) # errorsRelevant log output
`AttributeError: 'Polygon' object has no attribute 'column_type'`Environment details
**git***
commit c1494b6f5395629f8e62a5a5759400696b6bdbe5 (HEAD -> master, origin/master, origin/HEAD)
Author: victorb <vic.boussange@gmail.com>
Date: Wed Dec 27 11:47:32 2023 +0100
calculating density works with cupsatial
**git submodules***
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=22.04
DISTRIB_CODENAME=jammy
DISTRIB_DESCRIPTION="Ubuntu 22.04.3 LTS"
PRETTY_NAME="Ubuntu 22.04.3 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.3 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
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"
UBUNTU_CODENAME=jammy
Linux sauron 5.15.0-91-generic #101-Ubuntu SMP Tue Nov 14 13:30:08 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Wed Dec 27 14:29:19 2023
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| 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 NVIDIA GeForce RTX 3090 Off | 00000000:42:00.0 Off | N/A |
| 30% 36C P0 91W / 350W | 2MiB / 24576MiB | 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
Address sizes: 43 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 32
On-line CPU(s) list: 0-31
Vendor ID: AuthenticAMD
Model name: AMD EPYC 7302P 16-Core Processor
CPU family: 23
Model: 49
Thread(s) per core: 2
Core(s) per socket: 16
Socket(s): 1
Stepping: 0
Frequency boost: enabled
CPU max MHz: 3000.0000
CPU min MHz: 1500.0000
BogoMIPS: 5999.88
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibrs ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sme sev sev_es
Virtualization: AMD-V
L1d cache: 512 KiB (16 instances)
L1i cache: 512 KiB (16 instances)
L2 cache: 8 MiB (16 instances)
L3 cache: 128 MiB (8 instances)
NUMA node(s): 4
NUMA node0 CPU(s): 0-3,16-19
NUMA node1 CPU(s): 4-7,20-23
NUMA node2 CPU(s): 8-11,24-27
NUMA node3 CPU(s): 12-15,28-31
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Retbleed: Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec rstack overflow: Mitigation; safe RET
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; Retpolines, IBPB conditional, STIBP always-on, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
***CMake***
***g++***
/usr/bin/g++
g++ (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Copyright (C) 2021 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***
/home/boussang/SAR_modelling/python/.env/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Mon_Apr__3_17:16:06_PDT_2023
Cuda compilation tools, release 12.1, V12.1.105
Build cuda_12.1.r12.1/compiler.32688072_0
***Python***
/home/boussang/SAR_modelling/python/.env/bin/python
Python 3.9.18
***Environment Variables***
PATH : /home/boussang/.vscode-server/bin/0ee08df0cf4527e40edc9aa28f4b5bd38bbff2b2/bin/remote-cli:/home/boussang/SAR_modelling/python/.env/bin:/home/boussang/miniforge3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
LD_LIBRARY_PATH :
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX : /home/boussang/SAR_modelling/python/.env
PYTHON_PATH :
***conda packages***
/home/boussang/miniforge3/condabin/conda
# packages in environment at /home/boussang/SAR_modelling/python/.env:
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nccl 2.19.4.1 h3a97aeb_0 conda-forge
ncurses 6.4 h59595ed_2 conda-forge
nest-asyncio 1.5.8 pyhd8ed1ab_0 conda-forge
networkx 3.2.1 pyhd8ed1ab_0 conda-forge
nspr 4.35 h27087fc_0 conda-forge
nss 3.96 h1d7d5a4_0 conda-forge
numba 0.57.1 py39hb75a051_0 conda-forge
numpy 1.24.4 py39h6183b62_0 conda-forge
nvcomp 3.0.4 h10b603f_1 conda-forge
nvtx 0.2.8 py39hd1e30aa_1 conda-forge
openjpeg 2.5.0 h488ebb8_3 conda-forge
openssl 3.2.0 hd590300_1 conda-forge
orc 1.9.2 h4b38347_0 conda-forge
packaging 23.2 pyhd8ed1ab_0 conda-forge
pandas 1.5.3 py39h2ad29b5_1 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
partd 1.4.1 pyhd8ed1ab_0 conda-forge
pcre2 10.42 hcad00b1_0 conda-forge
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 10.1.0 py39had0adad_0 conda-forge
pip 23.3.2 pyhd8ed1ab_0 conda-forge
pixman 0.42.2 h59595ed_0 conda-forge
platformdirs 4.1.0 pyhd8ed1ab_0 conda-forge
ply 3.11 py_1 conda-forge
poppler 23.12.0 h590f24d_0 conda-forge
poppler-data 0.4.12 hd8ed1ab_0 conda-forge
postgresql 16.1 h7387d8b_7 conda-forge
proj 9.3.1 h1d62c97_0 conda-forge
prompt-toolkit 3.0.42 pyha770c72_0 conda-forge
protobuf 4.24.4 py39h60f6b12_0 conda-forge
psutil 5.9.7 py39hd1e30aa_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pulseaudio-client 16.1 hb77b528_5 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py-xgboost 2.0.3 cuda120_py39h206be00_0 conda-forge
pyarrow 14.0.2 py39h6925388_0_cpu conda-forge
pyarrow-hotfix 0.6 pyhd8ed1ab_0 conda-forge
pygbif 0.6.3 pypi_0 pypi
pygments 2.17.2 pyhd8ed1ab_0 conda-forge
pyparsing 3.1.1 pyhd8ed1ab_0 conda-forge
pyproj 3.6.1 py39h15b0fa6_5 conda-forge
pyqt 5.15.9 py39h52134e7_5 conda-forge
pyqt5-sip 12.12.2 py39h3d6467e_5 conda-forge
pyshp 2.3.1 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyha2e5f31_6 conda-forge
python 3.9.18 h0755675_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-tzdata 2023.3 pyhd8ed1ab_0 conda-forge
python_abi 3.9 4_cp39 conda-forge
pytorch 2.1.0 cuda120py39hf872c3d_301 conda-forge
pytz 2023.3.post1 pyhd8ed1ab_0 conda-forge
pyyaml 6.0.1 py39hd1e30aa_1 conda-forge
pyzmq 25.1.2 py39h8c080ef_0 conda-forge
qt-main 5.15.8 h450f30e_18 conda-forge
rasterio 1.3.9 py39hb497ac4_2 conda-forge
rdma-core 49.0 hd3aeb46_2 conda-forge
re2 2023.06.02 h2873b5e_0 conda-forge
readline 8.2 h8228510_1 conda-forge
requests 2.31.0 pyhd8ed1ab_0 conda-forge
requests-cache 1.1.1 pypi_0 pypi
rich 13.7.0 pyhd8ed1ab_0 conda-forge
rioxarray 0.15.0 pyhd8ed1ab_0 conda-forge
rmm 23.12.00 cuda12_py39_231206_g2db5cbb3_0 rapidsai
rtree 1.1.0 py39hb102c33_0 conda-forge
s2n 1.4.1 h06160fa_0 conda-forge
scikit-learn 1.3.2 py39ha22ef79_2 conda-forge
scipy 1.11.4 py39h474f0d3_0 conda-forge
setuptools 68.2.2 pyhd8ed1ab_0 conda-forge
shapely 2.0.2 py39h6404dd3_1 conda-forge
sip 6.7.12 py39h3d6467e_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
sleef 3.5.1 h9b69904_2 conda-forge
snappy 1.1.10 h9fff704_0 conda-forge
snuggs 1.4.7 py_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
spdlog 1.11.0 h9b3ece8_1 conda-forge
sqlite 3.44.2 h2c6b66d_0 conda-forge
src 0.0.0 dev_0 <develop>
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
sympy 1.12 pypyh9d50eac_103 conda-forge
tbb 2021.7.0 h924138e_0 conda-forge
tblib 3.0.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.2.0 pyha21a80b_0 conda-forge
tiledb 2.19.0 hc1131af_0 conda-forge
tk 8.6.13 noxft_h4845f30_101 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
torchvision 0.16.1 cuda120py39h383dd1f_2 conda-forge
tornado 6.3.3 py39hd1e30aa_1 conda-forge
tqdm 4.66.1 pyhd8ed1ab_0 conda-forge
traitlets 5.14.0 pyhd8ed1ab_0 conda-forge
typing_extensions 4.9.0 pyha770c72_0 conda-forge
tzcode 2023d h3f72095_0 conda-forge
tzdata 2023d h0c530f3_0 conda-forge
ucx 1.15.0 h6d2d1ec_2 conda-forge
unicodedata2 15.1.0 py39hd1e30aa_0 conda-forge
uriparser 0.9.7 hcb278e6_1 conda-forge
url-normalize 1.4.3 pypi_0 pypi
urllib3 2.1.0 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.12 pyhd8ed1ab_0 conda-forge
wheel 0.42.0 pyhd8ed1ab_0 conda-forge
xarray 2023.12.0 pyhd8ed1ab_0 conda-forge
xcb-util 0.4.0 hd590300_1 conda-forge
xcb-util-image 0.4.0 h8ee46fc_1 conda-forge
xcb-util-keysyms 0.4.0 h8ee46fc_1 conda-forge
xcb-util-renderutil 0.3.9 hd590300_1 conda-forge
xcb-util-wm 0.4.1 h8ee46fc_1 conda-forge
xerces-c 3.2.5 hac6953d_0 conda-forge
xgboost 2.0.3 cuda120_py39h206be00_0 conda-forge
xkeyboard-config 2.40 hd590300_0 conda-forge
xorg-kbproto 1.0.7 h7f98852_1002 conda-forge
xorg-libice 1.1.1 hd590300_0 conda-forge
xorg-libsm 1.2.4 h7391055_0 conda-forge
xorg-libx11 1.8.7 h8ee46fc_0 conda-forge
xorg-libxau 1.0.11 hd590300_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xorg-libxext 1.3.4 h0b41bf4_2 conda-forge
xorg-libxrender 0.9.11 hd590300_0 conda-forge
xorg-renderproto 0.11.1 h7f98852_1002 conda-forge
xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge
xorg-xf86vidmodeproto 2.3.1 h7f98852_1002 conda-forge
xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xyzservices 2023.10.1 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h166bdaf_0 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
zeromq 4.3.5 h59595ed_0 conda-forge
zict 3.0.0 pyhd8ed1ab_0 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hd590300_5 conda-forge
zstd 1.5.5 hfc55251_0 conda-forgeOther/Misc.
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