[BUG] Json reader is not correctly inferring a float column with a specific type of scientific notation

[galipremsagar]

Describe the bug
Json reader doesn't seem to be inferring the dtype of a column which has floating values. It appears to be inferred as object dtype. The only different I see with resepect to other float columns being inferred correctly is the difference in scientific notation, i.e., 34.3e+09 is being inferred correctly but 34.3e+304 is not.

Steps/Code to reproduce bug

Attachment(Just rename the file to temp.parquet and load): temp.parquet.zip

>>> import pandas as pd
>>> import cudf
>>> pdf = pd.read_parquet('temp.parquet')
>>> pdf
              0              1             2              3      4    5             6
0  2.250622e+09 -6.494446e+307 -9.164551e+12  6735604693236 -119.0  1.0 -3.826755e+12
1  2.035766e+09            NaN -2.369047e+12  7574969090271    NaN  NaN -5.743424e+12
2  1.939400e+09 -1.145175e+308  7.534900e+12  3628042478826   28.0  NaN -5.231790e+12
3  1.871836e+09  1.556428e+307  2.206686e+12   767786704906  -62.0  NaN           NaN
4  9.807541e+07            NaN  1.257964e+12 -7919323897153  -96.0  NaN           NaN
5  3.067252e+09 -1.678511e+308  4.968256e+12  5588109998021  -37.0  0.0           NaN
6  3.540629e+09 -1.599954e+307  1.356411e+12  8960674970810    NaN  1.0 -2.679076e+12
7           NaN            NaN           NaN -8605861346425   82.0  NaN  8.262327e+12
8  1.528666e+09            NaN           NaN -3517479000461   40.0  0.0           NaN
9           NaN  9.992153e+307 -5.273377e+12  7975279208357   13.0  1.0 -2.294980e+12
>>> pdf.dtypes
0    float64
1    float64
2    float64
3      int64
4    float64
5    float64
6    float64
dtype: object
>>> pdf.to_json('a', orient='records', lines=True)
>>> new_pdf = pd.read_json('a', orient='records', lines=True)
>>> new_pdf
              0              1             2              3      4    5             6
0  2.250622e+09 -6.494446e+307 -9.164551e+12  6735604693236 -119.0  1.0 -3.826755e+12
1  2.035766e+09            NaN -2.369047e+12  7574969090271    NaN  NaN -5.743424e+12
2  1.939400e+09 -1.145175e+308  7.534900e+12  3628042478826   28.0  NaN -5.231790e+12
3  1.871836e+09  1.556428e+307  2.206686e+12   767786704906  -62.0  NaN           NaN
4  9.807541e+07            NaN  1.257964e+12 -7919323897153  -96.0  NaN           NaN
5  3.067252e+09 -1.678511e+308  4.968256e+12  5588109998021  -37.0  0.0           NaN
6  3.540629e+09 -1.599954e+307  1.356411e+12  8960674970810    NaN  1.0 -2.679076e+12
7           NaN            NaN           NaN -8605861346425   82.0  NaN  8.262327e+12
8  1.528666e+09            NaN           NaN -3517479000461   40.0  0.0           NaN
9           NaN  9.992153e+307 -5.273377e+12  7975279208357   13.0  1.0 -2.294980e+12
>>> new_pdf.dtypes
0    float64
1    float64
2    float64
3      int64
4    float64
5    float64
6    float64
dtype: object
>>> gdf = cudf.read_json('a', engine='cudf', orient='records', lines=True)
>>> gdf
                 0                  1                 2              3       4     5                 6
0  2.250621731e+09  -6.494445507e+307  -9.164551369e+12  6735604693236  -119.0   1.0  -3.826754862e+12
1   2.03576588e+09               <NA>    -2.3690472e+12  7574969090271    <NA>  <NA>  -5.743423727e+12
2  1.939399618e+09  -1.145175127e+308   7.534900233e+12  3628042478826    28.0  <NA>  -5.231789981e+12
3  1.871835886e+09   1.556428026e+307   2.206686314e+12   767786704906   -62.0  <NA>              <NA>
4       98075413.0               <NA>   1.257964087e+12 -7919323897153   -96.0  <NA>              <NA>
5  3.067251544e+09  -1.678511417e+308    4.96825619e+12  5588109998021   -37.0   0.0              <NA>
6  3.540629185e+09  -1.599954352e+307   1.356410998e+12  8960674970810    <NA>   1.0  -2.679076194e+12
7             <NA>               <NA>              <NA> -8605861346425    82.0  <NA>    8.26232733e+12
8  1.528665908e+09               <NA>              <NA> -3517479000461    40.0   0.0              <NA>
9             <NA>   9.992152856e+307  -5.273376883e+12  7975279208357    13.0   1.0  -2.294979586e+12
>>> gdf.dtypes
0    float64
1     object          #<---- This should be float64, See column 1 values & dtypes below
2    float64
3      int64
4    float64
5    float64
6    float64
dtype: object
>>> gdf['1']
0    -6.494445507e+307
1                 <NA>
2    -1.145175127e+308
3     1.556428026e+307
4                 <NA>
5    -1.678511417e+308
6    -1.599954352e+307
7                 <NA>
8                 <NA>
9     9.992152856e+307
Name: 1, dtype: object
>>> new_pdf[1]
0   -6.494446e+307
1              NaN
2   -1.145175e+308
3    1.556428e+307
4              NaN
5   -1.678511e+308
6   -1.599954e+307
7              NaN
8              NaN
9    9.992153e+307
Name: 1, dtype: float64

Expected behavior
Correctly infer the float dtype.

Environment overview (please complete the following information)

• Environment location: [Bare-metal]
• Method of cuDF install: [from source]

Environment details
Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Click here to see environment details

 **git***
 commit 0d87f1030d610772477ec7132dc3feb19e89da24 (HEAD -> branch-0.17, upstream/branch-0.17)
 Author: GALI PREM SAGAR <[email protected]>
 Date:   Thu Oct 22 12:40:57 2020 -0500
 
 Add CSV fuzz tests with varying function parameters (#6384)
 
 * add inital set of params in csv writer
 
 * Fix row_group_size to not select 0.
 
 * Fix imports
 
 * Add utility to convert cudf DataFrame to Pandas Nullable DataFrame
 
 * Fix filename typo in ParquetWriter
 
 * Handle serializations of numpy bool objects.
 
 * Add ability for multi-Parameter runs in CSV Fuzz workers.
 
 * Add multiple parameter combination fuzz tests for CSV reader and writer.
 
 * Update csv.py
 
 * Update CHANGELOG.md
 
 * Add more na_rep values
 
 * Update CHANGELOG.md
 
 * Update csv.py
 
 * Update python/cudf/cudf/_fuzz_testing/utils.py
 
 Co-authored-by: Keith Kraus <[email protected]>
 
 * address review comments
 
 * add todo
 
 Co-authored-by: Keith Kraus <[email protected]>
 **git submodules***
 
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 DISTRIB_RELEASE=18.04
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 VERSION_CODENAME=bionic
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 Thu Oct 22 16:38:04 2020
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 ***CPU***
 Architecture:        x86_64
 CPU op-mode(s):      32-bit, 64-bit
 Byte Order:          Little Endian
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 On-line CPU(s) list: 0-63
 Thread(s) per core:  2
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 ***CMake***
 /nvme/0/pgali/envs/cudfdev/bin/cmake
 cmake version 3.18.2
 
 CMake suite maintained and supported by Kitware (kitware.com/cmake).
 
 ***g++***
 /usr/bin/g++
 g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
 Copyright (C) 2017 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) 2005-2019 NVIDIA Corporation
 Built on Wed_Oct_23_19:24:38_PDT_2019
 Cuda compilation tools, release 10.2, V10.2.89
 
 ***Python***
 /nvme/0/pgali/envs/cudfdev/bin/python
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 ***conda packages***
 /home/nfs/pgali/anaconda3/bin/conda
 # packages in environment at /nvme/0/pgali/envs/cudfdev:
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 olefile                   0.46                       py_0    conda-forge
 openssl                   1.1.1h               h516909a_0    conda-forge
 orc                       1.6.5                hd3605a7_0    conda-forge
 packaging                 20.4               pyh9f0ad1d_0    conda-forge
 pandas                    1.1.3            py37h9fdb41a_1    conda-forge
 pandavro                  1.5.2                    pypi_0    pypi
 pandoc                    1.19.2                        0    conda-forge
 pandocfilters             1.4.2                      py_1    conda-forge
 parquet-cpp               1.5.1                         2    conda-forge
 parso                     0.7.1              pyh9f0ad1d_0    conda-forge
 partd                     1.1.0                      py_0    conda-forge
 pathspec                  0.8.0              pyh9f0ad1d_0    conda-forge
 pexpect                   4.8.0            py37hc8dfbb8_1    conda-forge
 pickleshare               0.7.5           py37hc8dfbb8_1001    conda-forge
 pillow                    7.2.0            py37h718be6c_1    conda-forge
 pip                       20.2.3                     py_0    conda-forge
 pluggy                    0.13.1           py37hc8dfbb8_3    conda-forge
 pre-commit                2.7.1            py37hc8dfbb8_0    conda-forge
 pre_commit                2.7.1                         0    conda-forge
 prometheus_client         0.8.0              pyh9f0ad1d_0    conda-forge
 prompt-toolkit            3.0.7                      py_0    conda-forge
 psutil                    5.7.2            py37hb5d75c8_1    conda-forge
 ptyprocess                0.6.0                   py_1001    conda-forge
 py                        1.9.0              pyh9f0ad1d_0    conda-forge
 py-cpuinfo                7.0.0              pyh9f0ad1d_0    conda-forge
 pyarrow                   1.0.1           py37h72578d1_13_cuda    conda-forge
 pybind11                  2.5.0                    pypi_0    pypi
 pycodestyle               2.6.0              pyh9f0ad1d_0    conda-forge
 pycparser                 2.20               pyh9f0ad1d_2    conda-forge
 pyflakes                  2.2.0              pyh9f0ad1d_0    conda-forge
 pygments                  2.7.1                      py_0    conda-forge
 pyopenssl                 19.1.0                     py_1    conda-forge
 pyorc                     0.3.0                    pypi_0    pypi
 pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
 pyrsistent                0.17.3           py37h8f50634_1    conda-forge
 pysocks                   1.7.1            py37he5f6b98_2    conda-forge
 pytest                    6.1.1            py37hc8dfbb8_1    conda-forge
 pytest-benchmark          3.2.3              pyh9f0ad1d_0    conda-forge
 pytest-forked             1.3.0                    pypi_0    pypi
 pytest-xdist              2.1.0                    pypi_0    pypi
 python                    3.7.8           h6f2ec95_1_cpython    conda-forge
 python-dateutil           2.8.1                      py_0    conda-forge
 python_abi                3.7                     1_cp37m    conda-forge
 pytz                      2020.1             pyh9f0ad1d_0    conda-forge
 pyyaml                    5.3.1            py37hb5d75c8_1    conda-forge
 pyzmq                     19.0.2           py37hac76be4_2    conda-forge
 rapidjson                 1.1.0             he1b5a44_1002    conda-forge
 re2                       2020.10.01           he1b5a44_0    conda-forge
 readline                  8.0                  he28a2e2_2    conda-forge
 recommonmark              0.6.0                      py_0    conda-forge
 regex                     2020.10.11       py37h8f50634_0    conda-forge
 requests                  2.24.0             pyh9f0ad1d_0    conda-forge
 rhash                     1.3.6             h14c3975_1001    conda-forge
 rmm                       0.17.0a201011   cuda_10.2_py37_g2752e28_4    rapidsai-nightly
 send2trash                1.5.0                      py_0    conda-forge
 setuptools                49.6.0           py37he5f6b98_2    conda-forge
 six                       1.15.0             pyh9f0ad1d_0    conda-forge
 snappy                    1.1.8                he1b5a44_3    conda-forge
 snowballstemmer           2.0.0                      py_0    conda-forge
 sortedcontainers          2.2.2              pyh9f0ad1d_0    conda-forge
 spdlog                    1.7.0                hc9558a2_2    conda-forge
 sphinx                    3.2.1                      py_0    conda-forge
 sphinx-copybutton         0.3.0              pyh9f0ad1d_0    conda-forge
 sphinx-markdown-tables    0.0.14             pyh9f0ad1d_1    conda-forge
 sphinx_rtd_theme          0.5.0              pyh9f0ad1d_0    conda-forge
 sphinxcontrib-applehelp   1.0.2                      py_0    conda-forge
 sphinxcontrib-devhelp     1.0.2                      py_0    conda-forge
 sphinxcontrib-htmlhelp    1.0.3                      py_0    conda-forge
 sphinxcontrib-jsmath      1.0.1                      py_0    conda-forge
 sphinxcontrib-qthelp      1.0.3                      py_0    conda-forge
 sphinxcontrib-serializinghtml 1.1.4                      py_0    conda-forge
 sphinxcontrib-websupport  1.2.4              pyh9f0ad1d_0    conda-forge
 sqlite                    3.33.0               h4cf870e_1    conda-forge
 streamz                   0.6.0                    pypi_0    pypi
 tblib                     1.6.0                      py_0    conda-forge
 terminado                 0.9.1            py37hc8dfbb8_0    conda-forge
 testpath                  0.4.4                      py_0    conda-forge
 tk                        8.6.10               hed695b0_1    conda-forge
 toml                      0.10.1             pyh9f0ad1d_0    conda-forge
 toolz                     0.11.1                     py_0    conda-forge
 tornado                   6.0.4            py37h8f50634_1    conda-forge
 traitlets                 5.0.4                      py_1    conda-forge
 typed-ast                 1.4.1            py37h516909a_0    conda-forge
 typing_extensions         3.7.4.2                    py_0    conda-forge
 urllib3                   1.25.10                    py_0    conda-forge
 virtualenv                20.0.33          py37hc8dfbb8_1    conda-forge
 wcwidth                   0.2.5              pyh9f0ad1d_2    conda-forge
 webencodings              0.5.1                      py_1    conda-forge
 wheel                     0.35.1             pyh9f0ad1d_0    conda-forge
 xz                        5.2.5                h516909a_1    conda-forge
 yaml                      0.2.5                h516909a_0    conda-forge
 zeromq                    4.3.3                he1b5a44_2    conda-forge
 zict                      2.0.0                      py_0    conda-forge
 zipp                      3.3.0                      py_0    conda-forge
 zlib                      1.2.11            h516909a_1009    conda-forge
 zstd                      1.4.5                h6597ccf_2    conda-forge

Additional context
Surfaced while running fuzz tests: #6001

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