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rapidsai / cudf

cuDF - GPU DataFrame Library
https://docs.rapids.ai/api/cudf/stable/
Apache License 2.0
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[BUG] `str.character_ngrams` produces <NA> with strings < ngram length #14684

Open Vortexx2 opened 6 months ago

Vortexx2 commented 6 months ago

Describe the bug The str.character_ngrams function produces token <NA> for strings which are lesser than the provided n (shown in image for the case of bigrams). result output

I have debugged this and as far as I understand it, it is being caused by an empty list returned by the libstrings.generate_character_ngrams function. This causes to be a part of the result when it is exploded in the problematic function. This issue causes several bugs in downstream tasks (like when using cuml for CountVectorizer etc).

Steps/Code to reproduce bug Minimum code required to reproduce the bug:

import cudf
str_series = cudf.Series(['1744', '4'])
str_series.str.character_ngrams(2)

Expected behavior

should not be a part of the output. This causes several downstream tasks to fail because is not a valid token in the actual input string series. **Environment overview (please complete the following information)** - Environment location: Cloud GCP - Method of cuDF install: pip **Environment details** ``` **git*** Not inside a git repository ***OS Information*** PRETTY_NAME="Debian GNU/Linux 11 (bullseye)" NAME="Debian GNU/Linux" VERSION_ID="11" VERSION="11 (bullseye)" VERSION_CODENAME=bullseye ID=debian HOME_URL="https://www.debian.org/" SUPPORT_URL="https://www.debian.org/support" BUG_REPORT_URL="https://bugs.debian.org/" Linux janmey-gpu-c2 5.10.0-26-cloud-amd64 #1 SMP Debian 5.10.197-1 (2023-09-29) x86_64 GNU/Linux ***GPU Information*** Fri Dec 29 10:21:54 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 | |-------------------------------+----------------------+----------------------+ | 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 | 00000000:00:04.0 Off | 0 | | N/A 70C P0 33W / 70W | 459MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 316341 C ..._log_ner/.venv/bin/python 454MiB | +-----------------------------------------------------------------------------+ ***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): 16 On-line CPU(s) list: 0-15 Thread(s) per core: 2 Core(s) per socket: 8 Socket(s): 1 NUMA node(s): 1 Vendor ID: GenuineIntel CPU family: 6 Model: 79 Model name: Intel(R) Xeon(R) CPU @ 2.20GHz Stepping: 0 CPU MHz: 2199.998 BogoMIPS: 4399.99 Hypervisor vendor: KVM Virtualization type: full L1d cache: 256 KiB L1i cache: 256 KiB L2 cache: 2 MiB L3 cache: 55 MiB NUMA node0 CPU(s): 0-15 Vulnerability Gather data sampling: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Mitigation; PTE Inversion Vulnerability Mds: Mitigation; Clear CPU buffers; SMT Host state unknown Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown Vulnerability Retbleed: Mitigation; IBRS Vulnerability Spec rstack overflow: Not affected 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; IBRS, IBPB conditional, STIBP conditional, RSB filling, PBRSB-eIBRS Not affected Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT Host state unknown Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm rdseed adx smap xsaveopt arat md_clear arch_capabilities ***CMake*** /usr/bin/cmake cmake version 3.18.4 CMake suite maintained and supported by Kitware (kitware.com/cmake). ***g++*** /usr/bin/g++ g++ (Debian 10.2.1-6) 10.2.1 20210110 Copyright (C) 2020 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) 2005-2022 NVIDIA Corporation Built on Wed_Sep_21_10:33:58_PDT_2022 Cuda compilation tools, release 11.8, V11.8.89 Build cuda_11.8.r11.8/compiler.31833905_0 ***Python*** /home/janmeysandeepshukla/datasci/transaction_log_ner/.venv/bin/python Python 3.10.13 ***Environment Variables*** PATH : /home/janmeysandeepshukla/datasci/transaction_log_ner/.venv/bin:/home/janmeysandeepshukla/.vscode-server/bin/0ee08df0cf4527e40edc9aa28f4b5bd38bbff2b2/bin/remote-cli:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/bin:/usr/bin:/bin:/usr/local/games:/usr/games LD_LIBRARY_PATH : /usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/lib64:/usr/local/nccl2/lib:/usr/local/cuda/extras/CUPTI/lib64 NUMBAPRO_NVVM : NUMBAPRO_LIBDEVICE : CONDA_PREFIX : /opt/conda PYTHON_PATH : ***conda packages*** 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pypi_0 pypi ydata-profiling 4.6.0 pypi_0 pypi ypy-websocket 0.8.4 pypi_0 pypi zeromq 4.3.5 h59595ed_0 conda-forge zipp 3.17.0 pyhd8ed1ab_0 conda-forge zlib 1.2.13 hd590300_5 conda-forge zstandard 0.22.0 py310h1275a96_0 conda-forge zstd 1.5.5 hfc55251_0 conda-forge ```
Vortexx2 commented 6 months ago

This PR should fix the above issue.

vyasr commented 6 months ago

Thanks for the report and the fix!