[BUG] Parsing string to float is inconsistent between CSV reader and to_numeric
Open
bug
cuIO
libcudf
Python
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Description
**Describe the bug**
The parsing of strings to floats has different results in different contexts, as discussed in https://github.com/NVIDIA/spark-rapids/issues/5035.
## Parsing floats from CSV
Given the following input file:
```
0.1
0.2
0.3
```
The following code parses the floats as follows.
``` python
>>> df = cudf.read_csv("floats.csv", names=["a"], dtype=["float64"])
>>> df['a'][0]
0.1
>>> df['a'][1]
0.2
>>> df['a'][2]
0.30000000000000004
```
## Parsing floats with to_numeric
Parsing the same values using `to_numeric` produces different results.
``` python
>>> s = cudf.Series(['0.1', '0.2', '0.3'])
>>> x = cudf.to_numeric(s)
>>> x[0]
0.09999999999999999
>>> x[1]
0.19999999999999998
>>> x[2]
0.3
```
**Steps/Code to reproduce bug**
See above code examples.
**Expected behavior**
These two paths should produce consistent results.
**Environment overview (please complete the following information)**
Bare metal (desktop PC).
**Environment details**
Click here to see environment details
**git***
commit 9932a03894f12f9c3f83ae635792c7d79eb430a1 (HEAD, sperlingxx/enable_zero_backref)
Author: sperlingxx
Date: Wed Mar 30 08:44:00 2022 +0800
update
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Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
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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; LFENCE, IBPB conditional, STIBP disabled, RSB filling
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Vulnerability Tsx async abort: Not affected
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nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Nov_18_09:45:30_PST_2021
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matplotlib-base 3.5.1 py38hf4fb855_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mistune 0.8.4 py38h497a2fe_1005 conda-forge
msgpack-python 1.0.3 py38h43d8883_1 conda-forge
multidict 6.0.2 py38h0a891b7_1 conda-forge
multipledispatch 0.6.0 py_0 conda-forge
munch 2.5.0 py_0 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
nbclient 0.5.13 pyhd8ed1ab_0 conda-forge
nbconvert 6.4.5 pyhd8ed1ab_2 conda-forge
nbconvert-core 6.4.5 pyhd8ed1ab_2 conda-forge
nbconvert-pandoc 6.4.5 pyhd8ed1ab_2 conda-forge
nbformat 5.3.0 pyhd8ed1ab_0 conda-forge
nccl 2.12.7.1 h0800d71_0 conda-forge
ncurses 6.3 h9c3ff4c_0 conda-forge
nest-asyncio 1.5.5 pyhd8ed1ab_0 conda-forge
networkx 2.6.3 pyhd8ed1ab_1 conda-forge
nodejs 14.18.3 h92b4a50_1 conda-forge
notebook 6.4.10 pyha770c72_0 conda-forge
nspr 4.32 h9c3ff4c_1 conda-forge
nss 3.77 h2350873_0 conda-forge
numba 0.55.1 py38h4bf6c61_0 conda-forge
numpy 1.21.5 py38h87f13fb_0 conda-forge
nvtx 0.2.3 py38h497a2fe_1 conda-forge
openjdk 11.0.9.1 h5cc2fde_1 conda-forge
openjpeg 2.4.0 hb52868f_1 conda-forge
openssl 1.1.1n h166bdaf_0 conda-forge
orc 1.7.1 h1be678f_1 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pandas 1.3.5 py38h43a58ef_0 conda-forge
pandoc 2.17.1.1 ha770c72_0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
panel 0.12.7 pyhd8ed1ab_0 conda-forge
param 1.12.1 pyh6c4a22f_0 conda-forge
parquet-cpp 1.5.1 2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
partd 1.2.0 pyhd8ed1ab_0 conda-forge
pcre 8.45 h9c3ff4c_0 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.1.0 py38h0ee0e06_0 conda-forge
pip 22.0.4 pyhd8ed1ab_0 conda-forge
pixman 0.40.0 h36c2ea0_0 conda-forge
poppler 21.09.0 ha39eefc_3 conda-forge
poppler-data 0.4.11 hd8ed1ab_0 conda-forge
postgresql 13.5 h2510834_1 conda-forge
proj 8.1.0 h277dcde_1 conda-forge
prometheus_client 0.13.1 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.29 pyha770c72_0 conda-forge
protobuf 3.19.4 py38h709712a_0 conda-forge
psutil 5.9.0 py38h0a891b7_1 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptxcompiler 0.2.0 py38h98f4b32_0 rapidsai-nightly
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
py-xgboost 1.5.2dev.rapidsai22.04 cuda_11_py38_0 rapidsai-nightly
pyarrow 6.0.1 py38ha746e9d_5_cuda conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyct 0.4.6 py_0 conda-forge
pyct-core 0.4.6 py_0 conda-forge
pydantic 1.9.0 py38h0a891b7_1 conda-forge
pydeck 0.5.0 pyh9f0ad1d_0 conda-forge
pyee 8.1.0 pyhd8ed1ab_0 conda-forge
pygments 2.11.2 pyhd8ed1ab_0 conda-forge
pylibcugraph 22.04.00a220405 cuda11_py38_g38be932f_101 rapidsai-nightly
pynvml 11.4.1 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.7 pyhd8ed1ab_0 conda-forge
pyppeteer 1.0.2 pyhd8ed1ab_0 conda-forge
pyproj 3.1.0 py38h3701b11_4 conda-forge
pyraft 22.04.00a220405 cuda11_py38_gc509483_112 rapidsai-nightly
pyrsistent 0.18.1 py38h0a891b7_1 conda-forge
pysocks 1.7.1 py38h578d9bd_5 conda-forge
python 3.8.13 h582c2e5_0_cpython conda-forge
python-confluent-kafka 1.7.0 py38h497a2fe_2 conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.15.3 pyhd8ed1ab_0 conda-forge
python-tzdata 2022.1 pyhd8ed1ab_0 conda-forge
python_abi 3.8 2_cp38 conda-forge
pytz 2022.1 pyhd8ed1ab_0 conda-forge
pytz-deprecation-shim 0.1.0.post0 py38h578d9bd_1 conda-forge
pyviz_comms 2.2.0 pyhd8ed1ab_0 conda-forge
pywavelets 1.3.0 py38h3ec907f_0 conda-forge
pyyaml 6.0 py38h0a891b7_4 conda-forge
pyzmq 22.3.0 py38hfc09fa9_2 conda-forge
rapids 22.04.00a220405 cuda11_py38_g5d1fba5_121 rapidsai-nightly
rapids-xgboost 22.04.00a220405 cuda11_py38_g5d1fba5_121 rapidsai-nightly
re2 2021.11.01 h9c3ff4c_0 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
requests 2.27.1 pyhd8ed1ab_0 conda-forge
rmm 22.04.00a220405 cuda11_py38_g1420689_48 rapidsai-nightly
rtree 0.9.7 py38h02d302b_3 conda-forge
s2n 1.3.0 h9b69904_0 conda-forge
scikit-image 0.19.2 py38h43a58ef_0 conda-forge
scikit-learn 1.0.2 py38h1561384_0 conda-forge
scipy 1.8.0 py38h56a6a73_1 conda-forge
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 59.8.0 py38h578d9bd_1 conda-forge
shapely 1.8.0 py38hb7fe4a8_0 conda-forge
simpervisor 0.4 pyhd8ed1ab_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.8 he1b5a44_3 conda-forge
sniffio 1.2.0 py38h578d9bd_3 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.1 pyhd8ed1ab_0 conda-forge
spdlog 1.8.5 h4bd325d_1 conda-forge
sqlite 3.37.1 h4ff8645_0 conda-forge
stack_data 0.2.0 pyhd8ed1ab_0 conda-forge
starlette 0.17.1 pyhd8ed1ab_0 conda-forge
streamz 0.6.3 pyh6c4a22f_0 conda-forge
tabulate 0.8.9 pyhd8ed1ab_0 conda-forge
tblib 1.7.0 pyhd8ed1ab_0 conda-forge
terminado 0.13.3 py38h578d9bd_1 conda-forge
testpath 0.6.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tifffile 2021.11.2 pyhd8ed1ab_0 conda-forge
tiledb 2.3.4 he87e0bf_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
toolz 0.11.2 pyhd8ed1ab_0 conda-forge
tornado 6.1 py38h0a891b7_3 conda-forge
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
traitlets 5.1.1 pyhd8ed1ab_0 conda-forge
treelite 2.3.0 py38hdd725b4_0 conda-forge
treelite-runtime 2.3.0 pypi_0 pypi
typing-extensions 4.1.1 hd8ed1ab_0 conda-forge
typing_extensions 4.1.1 pyha770c72_0 conda-forge
tzcode 2022a h166bdaf_0 conda-forge
tzdata 2022a h191b570_0 conda-forge
tzlocal 4.2 py38h578d9bd_0 conda-forge
ucx 1.12.0+gd367332 cuda11.2_0 rapidsai-nightly
ucx-proc 1.0.0 gpu rapidsai-nightly
ucx-py 0.25.00a220405 py38_gd367332_13 rapidsai-nightly
unicodedata2 14.0.0 py38h0a891b7_1 conda-forge
urllib3 1.26.9 pyhd8ed1ab_0 conda-forge
uvicorn 0.17.6 py38h578d9bd_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.3.2 pyhd8ed1ab_0 conda-forge
websockets 10.2 py38h0a891b7_0 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
widgetsnbextension 3.6.0 py38h578d9bd_0 conda-forge
xarray 2022.3.0 pyhd8ed1ab_0 conda-forge
xerces-c 3.2.3 h9d8b166_3 conda-forge
xgboost 1.5.2dev.rapidsai22.04 cuda_11_py38_0 rapidsai-nightly
xorg-fixesproto 5.0 h7f98852_1002 conda-forge
xorg-inputproto 2.3.2 h7f98852_1002 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-libxfixes 5.0.3 h7f98852_1004 conda-forge
xorg-libxi 1.7.10 h7f98852_0 conda-forge
xorg-libxrender 0.9.10 h7f98852_1003 conda-forge
xorg-libxtst 1.2.3 h7f98852_1002 conda-forge
xorg-recordproto 1.14.2 h7f98852_1002 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
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.7.2 py38h0a891b7_2 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zfp 0.5.5 h9c3ff4c_8 conda-forge
zict 2.1.0 pyhd8ed1ab_0 conda-forge
zipp 3.8.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h166bdaf_1014 conda-forge
zstd 1.5.2 ha95c52a_0 conda-forge
**Additional context**
See https://github.com/NVIDIA/spark-rapids/issues/5035
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