CVS log for pkgsrc/textproc/R-jsonlite/Makefile

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(textproc/R-jsonlite) Update 1.8.7 to 1.8.9

1.8.9
  - Fix memory leak in base64 decoder
  - Update maintainer email address

1.8.8
  - Apply libyajl patches for CVE-2022-24795, CVE-2022-24795, CVE-2023-33460
  - Fix printf warnings for cran

(textproc/R-jsonlite) Updated 1.8.5 to 1.8.7

1.8.7
  - toJSON(digits = NA) once again prints 15 digits max
  - Fix getRversion type (requested by CRAN)

1.8.6
  - Add method [.json such that subsetting keeps json class

(textproc/R-jsonlite) Updated 1.8.0 to 1.8.5

1.8.5
  - Max digits in toJSON() raised from 15 to 17 (see #412)
  - Remove online example from flaky httpbin server

1.8.4
  - Replace sprintf with snprintf for CRAN

1.8.3
 - Fix strict-prototypes warning

1.8.2
 - Also fix breaking change in base_r for as.character.Date

1.8.1
 - Use base::url instead of curl::curl for downloading URLs in fromJSON
 - Fix for breaking change 82904 in base-R  (changed default as.character.POSIX behavior)

(textproc/R-jsonlite) Updated 1.7.1 to 1.8.0

1.8.0
 - Remove all calls to setOldClass() for R >= 4.0 (#378)

1.7.3
 - Fix memory bug in toJSON(pretty=TRUE) for 0-length vectors (#366)
 - Ported rbind_pages() to use vctrs::vec_rbind (#352)
 - Fix error serializing S4 class extending SEXPTYPE for certain types (#364)
 - Fix citibike example in API vignette

1.7.2
 - Special case 'blob' vctrs to prevent boxing of base64 output strings
 - Fix a unit test for new stricter all.equal() for environments in base-R

(textproc/R-jsonlite) Updated 1.6.0 to 1.7.1

1.7.1
 - Always rename the 'sf_column' column to 'geometry' in toJSON(sf = 'geojson') because
   that is what the spec says.
 - Add asJSON method for ITime.
 - Fix toJSON() for encoding strings in multibyte locale on Windows
 - serializeJSON() now supports S4 "pseudo-null" (i.e. empty slots)

1.7.0
 - Add support for 'sf' classes in toJSON() conform GeoJSON spec.
 - Fix a unit test due to a change in rgdal

1.6.1
 - Fix bug in C_collapse_array_pretty_inner declarationdetected by CRAN LTO
 - Better handing of NA in timestamps with POSIXt = 'mongo'
 - The 'raw' parameter in toJSON gains options 'int' and 'js'

Update all R packages to canonical form.

The canonical form [1] of an R package Makefile includes the
following:

- The first stanza includes R_PKGNAME, R_PKGVER, PKGREVISION (as
  needed), and CATEGORIES.

- HOMEPAGE is not present but defined in math/R/Makefile.extension to
  refer to the CRAN web page describing the package.  Other relevant
  web pages are often linked from there via the URL field.

This updates all current R packages to this form, which will make
regular updates _much_ easier, especially using pkgtools/R2pkg.

[1] http://mail-index.netbsd.org/tech-pkg/2019/08/02/msg021711.html

R-jsonlite: update to canonical form of an R package.

Update to 1.6

Upstream changes:
1.6
 - Add parse_json() wrapper that does not guess if a string is actually a file/url
 - Fix a few rchk warnings (mostly false positives)
 - Add asJSON method for hms
 - Do not require is.vector() for unbox to support values with attributes e.g. factor or tzone
 - write_json now suppresses recoding of strings on windows, fixes #226
 - Hide internal libyajl symbols from shlib
 - Remove C calls R connection API which are no longer allowed on CRAN. This may
   lead to about 5% performance decrease for parsing from connections.
 - Remove depreacted rbind.pages function

Remove MASTER_SITES= from individual R package Makefiles.

Each R package should include ../../math/R/Makefile.extension, which also
defines MASTER_SITES.  Consequently, it is redundant for the individual
packages to do the same.  Package-specific definitions also prevent
redefining MASTER_SITES in a single common place.

textproc/R-jsonlite: Import version 1.5

A fast JSON parser and generator optimized for statistical data and
the web. Started out as a fork of 'RJSONIO', but has been completely
rewritten in recent versions. The package offers flexible, robust,
high performance tools for working with JSON in R and is particularly
powerful for building pipelines and interacting with a web API. The
implementation is based on the mapping described in the vignette
(Ooms, 2014). In addition to converting JSON data from/to R objects,
'jsonlite' contains functions to stream, validate, and prettify JSON
data. The unit tests included with the package verify that all edge
cases are encoded and decoded consistently for use with dynamic data
in systems and applications.