[ENH] Support inferring `lineterminator` in in `read_csv`
Open
cudf.pandas
improvement
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Description
**Describe the bug**
I am trying to read two files from Github. Pandas does that with no issues -- when using the `%load_ext cudf.pandas` -- I get empty DataFrames.
**Steps/Code to reproduce bug**
This works
```python
import pandas as pd
cars1 = pd.read_csv("https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv")
print(cars1.head())
```
and produces the following output
```text
mpg cylinders displacement horsepower weight acceleration model \
0 18.0 8 307 130 3504 12.0 70
1 15.0 8 350 165 3693 11.5 70
2 18.0 8 318 150 3436 11.0 70
3 16.0 8 304 150 3433 12.0 70
4 17.0 8 302 140 3449 10.5 70
origin car Unnamed: 9 Unnamed: 10 Unnamed: 11 \
0 1 chevrolet chevelle malibu NaN NaN NaN
1 1 buick skylark 320 NaN NaN NaN
2 1 plymouth satellite NaN NaN NaN
3 1 amc rebel sst NaN NaN NaN
4 1 ford torino NaN NaN NaN
Unnamed: 12 Unnamed: 13
0 NaN NaN
1 NaN NaN
2 NaN NaN
3 NaN NaN
4 NaN NaN
```
However, this does not work.
```python
%load_ext cudf.pandas
import pandas as pd
cars1 = pd.read_csv("https://raw.githubusercontent.com/guipsamora/pandas_exercises/master/05_Merge/Auto_MPG/cars1.csv")
print(cars1.head())
```
and produces the following output
```text
Empty DataFrame
Columns: [mpg, cylinders, displacement, horsepower, weight, acceleration, model, origin, car, Unnamed: 9, Unnamed: 10, 70.34, 1937.1, 14.2, 76.18, 2.36, vw rabbit, Unnamed: 2583, Unnamed: 2584, Unnamed: 2585, Unnamed: 2586]
Index: []
```
It does look that the column names are read but instead of reading the data -- it treats the rows as columns.
*EDIT:* upon further investigation -- the problem seems to be with the `Unnamed` columns being at the end of the dataset. Removing these columns make the `cudf.pandas` read the data properly.
**Expected behavior**
The `cars1` as read by `cudf.pandas` should be the same as the one read by pandas.
**Environment overview (please complete the following information)**
- Environment location: Docker
- Method of cuDF install: Docker
- `docker run --gpus all --pull always --rm -it --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 -p 8888:8888 -p 8787:8787 -p 8786:8786 -v /home/tom/work/data:/data -v /home/tom/playground:/home/rapids/notebooks/codes nvcr.io/nvidia/rapidsai/notebooks:24.12-cuda12.5-py3.12`
**Environment details**
Please run and paste the output of the `cudf/print_env.sh` script here, to gather any other relevant environment details
```bash
Click here to see environment details
**git***
Not inside a git repository
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=24.04
DISTRIB_CODENAME=noble
DISTRIB_DESCRIPTION="Ubuntu 24.04.1 LTS"
PRETTY_NAME="Ubuntu 24.04.1 LTS"
NAME="Ubuntu"
VERSION_ID="24.04"
VERSION="24.04.1 LTS (Noble Numbat)"
VERSION_CODENAME=noble
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=noble
LOGO=ubuntu-logo
Linux 0969bfe0bae6 6.8.0-48-generic #48-Ubuntu SMP PREEMPT_DYNAMIC Fri Sep 27 14:04:52 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Sun Jan 26 20:22:45 2025
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03 Driver Version: 560.35.03 CUDA Version: 12.6 |
|-----------------------------------------+------------------------+----------------------+
| 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 RTX 6000 Ada Gene... Off | 00000000:01:00.0 Off | Off |
| 30% 46C P8 24W / 300W | 567MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
| 1 NVIDIA RTX 6000 Ada Gene... Off | 00000000:C1:00.0 Off | Off |
| 30% 44C P8 30W / 300W | 4MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+------------------------+----------------------+
+-----------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=========================================================================================|
| 0 N/A N/A 642 C /opt/conda/bin/python 0MiB |
+-----------------------------------------------------------------------------------------+
***CPU***
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 52 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 64
On-line CPU(s) list: 0-63
Vendor ID: AuthenticAMD
Model name: AMD Ryzen Threadripper PRO 7975WX 32-Cores
CPU family: 25
Model: 24
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 1
Stepping: 1
CPU(s) scaling MHz: 16%
CPU max MHz: 7775.0000
CPU min MHz: 545.0000
BogoMIPS: 7987.72
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 amd_lbr_v2 nopl nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 pcid 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 perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd amd_ppin cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq la57 rdpid overflow_recov succor smca fsrm flush_l1d debug_swap
Virtualization: AMD-V
L1d cache: 1 MiB (32 instances)
L1i cache: 1 MiB (32 instances)
L2 cache: 32 MiB (32 instances)
L3 cache: 128 MiB (4 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-63
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 Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Mitigation; Safe RET
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
***CMake***
***g++***
***nvcc***
/opt/conda/bin/nvcc
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Thu_Jun__6_02:18:23_PDT_2024
Cuda compilation tools, release 12.5, V12.5.82
Build cuda_12.5.r12.5/compiler.34385749_0
***Python***
/opt/conda/bin/python
Python 3.12.7
***Environment Variables***
PATH : /opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
LD_LIBRARY_PATH : /usr/local/nvidia/lib:/usr/local/nvidia/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX :
PYTHON_PATH :
***conda packages***
/opt/conda/bin/conda
# packages in environment at /opt/conda:
#
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pylibcudf 24.12.00 cuda12_py312_241211_gff41ecf473_0 rapidsai
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pynvml 11.4.1 pyhd8ed1ab_0 conda-forge
pyogrio 0.10.0 py312h02b19dd_1 conda-forge
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python-dateutil 2.9.0.post0 pyhff2d567_1 conda-forge
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pyzmq 26.2.0 py312hbf22597_3 conda-forge
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qt6-main 6.8.0 h6e8976b_0 conda-forge
raft-dask 24.12.00 cuda12_py312_241211_geaf9cc72_0 rapidsai
rapids 24.12.00 cuda12_py312_241211_gd51ff77_0 rapidsai
rapids-dask-dependency 24.12.00 py_0 rapidsai
rapids-xgboost 24.12.00 cuda12_py312_241211_gd51ff77_0 rapidsai
rasterio 1.4.3 py312h8cae83d_0 conda-forge
rav1e 0.6.6 he8a937b_2 conda-forge
rdma-core 54.0 h5888daf_1 conda-forge
re2 2024.07.02 h77b4e00_1 conda-forge
readline 8.2 h8228510_1 conda-forge
referencing 0.35.1 pyhd8ed1ab_1 conda-forge
reproc 14.2.5.post0 hb9d3cd8_0 conda-forge
reproc-cpp 14.2.5.post0 h5888daf_0 conda-forge
requests 2.32.3 pyhd8ed1ab_1 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_1 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rich 13.9.4 pyhd8ed1ab_1 conda-forge
rio-vrt 0.3.1 pyhd8ed1ab_0 conda-forge
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toml 0.10.2 pyhd8ed1ab_0 conda-forge
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typing_utils 0.1.0 pyhd8ed1ab_1 conda-forge
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ucxx 0.41.00 cuda12_py3.12_241211_gd355f9c_0 rapidsai
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widgetsnbextension 4.0.13 pyhd8ed1ab_1 conda-forge
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xarray 2024.11.0 pyhd8ed1ab_0 conda-forge
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xcb-util-cursor 0.1.5 hb9d3cd8_0 conda-forge
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xcb-util-wm 0.4.2 hb711507_0 conda-forge
xerces-c 3.2.5 h988505b_2 conda-forge
xgboost 2.1.2 rapidsai_pyh9f47a55_0 rapidsai
xkeyboard-config 2.43 hb9d3cd8_0 conda-forge
xorg-libice 1.1.1 hb9d3cd8_1 conda-forge
xorg-libsm 1.2.4 he73a12e_1 conda-forge
xorg-libx11 1.8.10 h4f16b4b_1 conda-forge
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xorg-libxcomposite 0.4.6 hb9d3cd8_2 conda-forge
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xorg-libxfixes 6.0.1 hb9d3cd8_0 conda-forge
xorg-libxi 1.8.2 hb9d3cd8_0 conda-forge
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xorg-libxtst 1.2.5 hb9d3cd8_3 conda-forge
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xyzservices 2024.9.0 pyhd8ed1ab_1 conda-forge
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zstd 1.5.6 ha6fb4c9_0 conda-forge
```
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