GITHUB . COM {}

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We are analyzing https://github.com/pandas-dev/pandas/issues/46555.

Title:
BUG: read_parquet leaks file handles on error · Issue #46555 · pandas-dev/pandas
Description:
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example Run...
Website Age:
17 years and 8 months (reg. 2007-10-09).

Matching Content Categories {📚}

Technology & Computing
Video & Online Content
DIY & Home Improvement

Content Management System {📝}

What CMS is github.com built with?

Github.com operates using WORDPRESS.

Traffic Estimate {📈}

What is the average monthly size of github.com audience?

🚀🌠 Tremendous Traffic: 10M - 20M visitors per month

Based on our best estimate, this website will receive around 10,634,219 visitors per month in the current month.

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How Does Github.com Make Money? {💸}

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We've located a dedicated page on github.com that might include details about subscription plans or recurring payments. We identified it based on the word pricing in one of its internal links. Below, you'll find additional estimates for its monthly recurring revenues.

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Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 5,306,347 paying customers.
The estimated monthly recurring revenue (MRR) is $22,286,656.
The estimated annual recurring revenues (ARR) are $267,439,867.

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Keywords {🔍}

pandas, issue, bug, closed, sign, file, handles, parquet, projects, readparquet, error, flyingsheep, development, import, path, added, navigation, pull, requests, actions, security, leaks, description, version, confirmed, exists, mode, triage, reviewed, team, member, feather, jreback, milestone, github, type, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing, search, jump, pandasdev,

Topics {✒️}

pass issue description parquet import to_parquet personal information bug close fastparquet file comment metadata assignees latest version bug exists projects milestone 1 file handles open triage issue type projects handles aren parquet' pandas io issue main branch '/tmp/test /finally block 100% complete relationships development mode b'bogus' github feather type read_parquet closed 5 closed path to_parquet development +b' feather sign skip jump checked reported confirmed reproducible run pd dataframe dict seek write exception works running ll

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Schema {🗺️}

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      headline:BUG: read_parquet leaks file handles on error
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example Run this in [development mode](https://docs.python.org/3/library/devmode.html): ```python from pathlib import Path import pandas as pd from pandas.io.parquet import to_parquet, read_parquet path = Path('/tmp/test.parquet') to_parquet(pd.DataFrame(dict(a=[1])), path) with path.open('r+b') as f: f.seek(16) f.write(b'bogus') try: read_parquet(path) except Exception: pass ``` ### Issue Description The handles aren’t closed in a `except`/`finally` block, so they only get closed when everything works. When running the above in [development mode](https://docs.python.org/3/library/devmode.html), you’ll see a [`ResourceWarning`](https://docs.python.org/3/library/exceptions.html#ResourceWarning) ### Expected Behavior all file handles are closed no matter what ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.9.12.final.0 python-bits : 64 OS : Linux OS-release : 5.16.16-zen1-1-zen Version : #1 ZEN SMP PREEMPT Mon, 21 Mar 2022 22:59:42 +0000 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : de_DE.UTF-8 LOCALE : de_DE.UTF-8 pandas : 1.4.1 numpy : 1.22.3 pytz : 2021.1 dateutil : 2.8.1 pip : 22.0.4 setuptools : 57.4.0 Cython : None pytest : 7.1.1 hypothesis : None sphinx : 4.3.2 blosc : None feather : None xlsxwriter : 1.4.0 lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : 2.8.6 jinja2 : 3.0.3 IPython : 7.23.0 pandas_datareader: None bs4 : 4.9.3 bottleneck : None fastparquet : 0.8.0 fsspec : 2022.02.0 gcsfs : None matplotlib : 3.4.1 numba : 0.53.1 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : 1.8.0 sqlalchemy : 1.4.23 tables : 3.6.1 tabulate : 0.8.9 xarray : None xlrd : 1.2.0 xlwt : None zstandard : None </details>
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      headline:BUG: read_parquet leaks file handles on error
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example Run this in [development mode](https://docs.python.org/3/library/devmode.html): ```python from pathlib import Path import pandas as pd from pandas.io.parquet import to_parquet, read_parquet path = Path('/tmp/test.parquet') to_parquet(pd.DataFrame(dict(a=[1])), path) with path.open('r+b') as f: f.seek(16) f.write(b'bogus') try: read_parquet(path) except Exception: pass ``` ### Issue Description The handles aren’t closed in a `except`/`finally` block, so they only get closed when everything works. When running the above in [development mode](https://docs.python.org/3/library/devmode.html), you’ll see a [`ResourceWarning`](https://docs.python.org/3/library/exceptions.html#ResourceWarning) ### Expected Behavior all file handles are closed no matter what ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.9.12.final.0 python-bits : 64 OS : Linux OS-release : 5.16.16-zen1-1-zen Version : #1 ZEN SMP PREEMPT Mon, 21 Mar 2022 22:59:42 +0000 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : de_DE.UTF-8 LOCALE : de_DE.UTF-8 pandas : 1.4.1 numpy : 1.22.3 pytz : 2021.1 dateutil : 2.8.1 pip : 22.0.4 setuptools : 57.4.0 Cython : None pytest : 7.1.1 hypothesis : None sphinx : 4.3.2 blosc : None feather : None xlsxwriter : 1.4.0 lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : 2.8.6 jinja2 : 3.0.3 IPython : 7.23.0 pandas_datareader: None bs4 : 4.9.3 bottleneck : None fastparquet : 0.8.0 fsspec : 2022.02.0 gcsfs : None matplotlib : 3.4.1 numba : 0.53.1 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : 1.8.0 sqlalchemy : 1.4.23 tables : 3.6.1 tabulate : 0.8.9 xarray : None xlrd : 1.2.0 xlwt : None zstandard : None </details>
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