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Strings are slow. R has an internal 'factor' mechanism, so each unique string only has one memory address. We can exploit this to speed up string processing (assuming same encoding for all strings!)
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Please add a warning on vCard::AddressBook that by using this program one might lose 1/4 of their data or more.*
```
use strict;
use warnings FATAL => q{all};
use open qw/:std :encoding(utf8)/;
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# Error message:
[1] "** Starting creation of index table (STEP1)"
Error in `map()`:
ℹ In index: 1.
Caused by error in `.[[1]]`:
! subscript out of bounds
# Error is in line 77:
tables %
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I have a project that needs to use multiple YAML files, but the `inputSpec` doesn't support this.
I try a workaround solution by adding multiple executions of the maven plugin into the pom, this issu…
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## CVE-2022-31051 - High Severity Vulnerability
Vulnerable Library - semantic-release-17.4.2.tgz
Automated semver compliant package publishing
Library home page: https://registry.npmjs.org/semantic-…
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trrthrth
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### Describe the problem
Compilation error:
```text
Traceback (most recent call last):
File "__main__.py", line 317, in
File "click/core.py", line 1134, in __call__
File "click/core.p…
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I have the following configuration of `eo-maven-plugin` which executes `xmir-to-phi` goal:
```xml
org.eolang
eo-maven-plugin
0.35.9
convert-xmir-to-eo
process-class…
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Hi!
Every method call with utf-8 string as argument ends with following error:
`unexpected end-of-input, expecting keyword_end`
`ruby -wc` returns Syntax OK.
Simple code to reproduce this:
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When connecting colab to a Jupyter server the frontend application sends URL encoded parameters to `/api/sessions` which causes the API to return hard to read names. While this is coming from the fron…