update docs and rely on release nanonext

.github/workflows/check-standard.yaml

@@ -41,7 +41,7 @@ jobs:
 
       - name: Add r-universe to repos
         run: |
-          cat("\noptions(repos=c(RMV='https://shikokuchuo.r-universe.dev',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
+          cat("\noptions(repos=c(RMV='https://community.r-multiverse.org',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
         shell: Rscript {0}
 
       - uses: r-lib/actions/setup-r-dependencies@v2

.github/workflows/pkgdown.yaml

@@ -31,7 +31,7 @@ jobs:
 
       - name: Add r-universe to repos
         run: |
-          cat("\noptions(repos=c(RMV='https://shikokuchuo.r-universe.dev',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
+          cat("\noptions(repos=c(RMV='https://community.r-multiverse.org',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
         shell: Rscript {0}
 
       - uses: r-lib/actions/setup-r-dependencies@v2

.github/workflows/rhub.yaml

@@ -58,7 +58,7 @@ jobs:
           job-config: ${{ matrix.config.job-config }}
       - name: Add r-universe to repos
         run: |
-          cat("\noptions(repos=c(RMV='https://shikokuchuo.r-universe.dev',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
+          cat("\noptions(repos=c(RMV='https://community.r-multiverse.org',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
         shell: Rscript {0}
       - uses: r-hub/actions/setup-deps@v1
         with:

.github/workflows/test-coverage.yaml

@@ -25,7 +25,7 @@ jobs:
 
       - name: Add r-universe to repos
         run: |
-          cat("\noptions(repos=c(RMV='https://shikokuchuo.r-universe.dev',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
+          cat("\noptions(repos=c(RMV='https://community.r-multiverse.org',CRAN ='https://cloud.r-project.org'))\n", file = "~/.Rprofile", append = TRUE)
         shell: Rscript {0}
 
       - uses: r-lib/actions/setup-r-dependencies@v2

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: mirai
 Type: Package
 Title: Minimalist Async Evaluation Framework for R
-Version: 1.1.1.9019
+Version: 1.1.1.9020
 Description: Designed for simplicity, a 'mirai' evaluates an R expression
     asynchronously in a parallel process, locally or distributed over the
     network, with the result automatically available upon completion. Modern
@@ -27,7 +27,7 @@ Encoding: UTF-8
 Depends: 
     R (>= 3.6)
 Imports: 
-    nanonext (>= 1.1.1.9018)
+    nanonext (>= 1.2.0)
 Enhances: 
     parallel,
     promises

NEWS.md

@@ -1,4 +1,4 @@
-# mirai 1.1.1.9019 (development)
+# mirai 1.1.1.9020 (development)
 
 * `everywhere()` adds argument '.serial' to accept serialization configurations created by `serial_config()`. These allow normally non-exportable reference objects such as Arrow Tables or torch tensors to be used seamlessly across parallel processes without additional marshalling steps. Configurations apply on a per compute profile basis.
 * `serialization()` is now deprecated in favour of the above usage of `everywhere()`, and will be removed in a future version.
@@ -7,9 +7,10 @@
 * Collecting a 'mirai_map' no longer spuriously introduces empty names where none were present originally.
 * Faster local `daemons(dispatcher = FALSE)` and `make_cluster()` by using asynchronous launches (thanks @mtmorgan #123).
 * Local dispatcher daemons now synchronize with host, the same as non-dispatcher daemons (prevents use before all have connected).
+* Fixes rare cases of `everywhere()` not reaching all daemons when using dispatcher.
 * More efficient dispatcher startup by only loading the base package, in addition to not reading startup configurations (thanks @krlmlr).
 * Removes hard dependency on `stats` and `utils` base packages.
-* Requires `nanonext` >= [1.1.1.9018].
+* Requires `nanonext` >= 1.2.0.
 
 # mirai 1.1.1
 

R/mirai.R

@@ -264,7 +264,6 @@ everywhere <- function(.expr, ..., .args = list(), .serial = NULL, .compute = "d
       .expr <- c(.register, .expr)
       .args <- c(.args, list(.serial = .serial))
       `opt<-`(envir[["sock"]], "serial", .serial)
-      `[[<-`(envir, "serial", .serial)
     }
 
     if (is.null(envir[["sockc"]])) {

README.Rmd

@@ -56,7 +56,7 @@ Whilst the async operation is ongoing, attempting to access a mirai's data yield
 m
 m$data
 ```
-To check whether a mirai remains unresolved i.e. its async operation is still ongoing:
+To check whether a mirai remains unresolved (yet to complete):
 ```{r unres}
 unresolved(m)
 ```
@@ -91,8 +91,8 @@ Daemons may also be deployed [remotely](https://shikokuchuo.net/mirai/articles/m
 
 ```{r map}
 df <- data.frame(
-  fruit = c("melon", "pear", "coconut"),
-  price = c(5L, 1L, 2L)
+  fruit = c("melon", "grapes", "coconut"),
+  price = c(3L, 5L, 2L)
 )
 m <- mirai_map(df, sprintf, .args = list(fmt = "%s: $%d"))
 ```

README.md

@@ -64,8 +64,7 @@ m$data
 #> 'unresolved' logi NA
 ```
 
-To check whether a mirai remains unresolved i.e. its async operation is
-still ongoing:
+To check whether a mirai remains unresolved (yet to complete):
 
 ``` r
 unresolved(m)
@@ -76,7 +75,7 @@ To wait for and collect the return value, use the mirai’s `[]` method:
 
 ``` r
 m[]
-#> [1] 6.275195 6.697046 7.518985 6.332227 6.446677
+#> [1] 5.735529 7.862045 6.024613 7.572171 5.791506
 ```
 
 As a mirai represents an async operation, it is never necessary to wait
@@ -90,7 +89,7 @@ while (unresolved(m)) {
 m
 #> < mirai [$data] >
 m$data
-#> [1] 6.275195 6.697046 7.518985 6.332227 6.446677
+#> [1] 5.735529 7.862045 6.024613 7.572171 5.791506
 ```
 
 #### Daemons
@@ -124,8 +123,8 @@ rows of a dataframe or matrix.
 
 ``` r
 df <- data.frame(
-  fruit = c("melon", "pear", "coconut"),
-  price = c(5L, 1L, 2L)
+  fruit = c("melon", "grapes", "coconut"),
+  price = c(3L, 5L, 2L)
 )
 m <- mirai_map(df, sprintf, .args = list(fmt = "%s: $%d"))
 ```
@@ -140,7 +139,7 @@ progress indicators.
 m
 #> < mirai map [3/3] >
 m[.flat]
-#> [1] "melon: $5"   "pear: $1"    "coconut: $2"
+#> [1] "melon: $3"   "grapes: $5"  "coconut: $2"
 ```
 
 All errors are returned as ‘errorValues’, facilitating recovery from

vignettes/mirai.Rmd

@@ -51,7 +51,7 @@ m
 m$data
 #> 'unresolved' logi NA
 ```
-To check whether a mirai remains unresolved i.e. its async operation is still ongoing:
+To check whether a mirai remains unresolved (yet to complete):
 
 ``` r
 unresolved(m)
@@ -61,15 +61,15 @@ To wait for and collect the return value, use the mirai's `[]` method:
 
 ``` r
 m[]
-#> [1] 5.035731 2.525158 4.462494 4.866664 5.847000
+#> [1] 4.686698 3.649466 5.643721 5.237069 3.828488
 ```
 As a mirai represents an async operation, it is never necessary to wait for it. Other code can continue to be run. Once it completes, the return value automatically becomes available at `$data`.
 
 ``` r
 m
 #> < mirai [$data] >
 m$data
-#> [1] 5.035731 2.525158 4.462494 4.866664 5.847000
+#> [1] 4.686698 3.649466 5.643721 5.237069 3.828488
 ```
 For easy programmatic use of `mirai()`, '.expr' accepts a pre-constructed language object, and also a list of named arguments passed via '.args'. So, the following would be equivalent to the above:
 
@@ -81,7 +81,7 @@ args <- list(time = x$time, mean = x$mean)
 
 m <- mirai(.expr = expr, .args = args)
 m[]
-#> [1] 3.481751 4.707875 4.207655 5.762250 2.692773
+#> [1] 4.812297 4.021603 3.333087 4.998890 3.676835
 ```
 
 [&laquo; Back to ToC](#table-of-contents)
@@ -158,11 +158,11 @@ for (i in 1:10) {
 #> iteration 1 successful
 #> iteration 2 successful
 #> iteration 3 successful
-#> Error: random error
 #> iteration 4 successful
 #> iteration 5 successful
 #> iteration 6 successful
 #> iteration 7 successful
+#> Error: random error
 #> iteration 8 successful
 #> iteration 9 successful
 #> iteration 10 successful
@@ -199,12 +199,12 @@ status()
 #> 
 #> $daemons
 #>                                     i online instance assigned complete
-#> abstract://9ac5654134c5ea197184df9e 1      1        1        0        0
-#> abstract://090d4c6e7211e5108bd04164 2      1        1        0        0
-#> abstract://abaee2eee2558d736d801a2a 3      1        1        0        0
-#> abstract://a4eaa8fa5e705a6037a28705 4      1        1        0        0
-#> abstract://edb7f2c078d439aed2ca3b3b 5      1        1        0        0
-#> abstract://e74f405d21b249c69c88bec4 6      1        1        0        0
+#> abstract://a0b81e5334b04e1434e37552 1      1        1        0        0
+#> abstract://8ff80f924503294749199213 2      1        1        0        0
+#> abstract://b082aab5aad836d568dac23a 3      1        1        0        0
+#> abstract://6ff7d4056fb2d0d447fcad00 4      1        1        0        0
+#> abstract://67005db15f4748b788093372 5      1        1        0        0
+#> abstract://3a1ba8fb052d8544585e7c0b 6      1        1        0        0
 ```
 The default `dispatcher = TRUE` creates a `dispatcher()` background process that connects to individual daemon processes on the local machine. This ensures that tasks are dispatched efficiently on a first-in first-out (FIFO) basis to daemons for processing. Tasks are queued at the dispatcher and sent to a daemon as soon as it can accept the task for immediate execution.
 
@@ -233,7 +233,7 @@ status()
 #> [1] 6
 #> 
 #> $daemons
-#> [1] "abstract://3447f493f716be0137955a97"
+#> [1] "abstract://1561773b749829cf1e118973"
 ```
 This implementation sends tasks immediately, and ensures that tasks are evenly-distributed amongst daemons. This means that optimal scheduling is not guaranteed as the duration of tasks cannot be known *a priori*. As an example, tasks could be queued at a daemon behind a long-running task, whilst other daemons are idle having already completed their tasks.
 
@@ -261,11 +261,11 @@ m <- mirai(capture.output(str(con)))
 m[]
 #> [1] "Formal class 'SQLiteConnection' [package \"RSQLite\"] with 8 slots" 
 #> [2] "  ..@ ptr                :<externalptr> "                           
-#> [3] "  ..@ dbname             : chr \"/tmp/RtmpMRdBww/file3d141b7a2d72\""
+#> [3] "  ..@ dbname             : chr \"/tmp/RtmpKgiYbm/file6ecd76c526ac\""
 #> [4] "  ..@ loadable.extensions: logi TRUE"                               
 #> [5] "  ..@ flags              : int 70"                                  
 #> [6] "  ..@ vfs                : chr \"\""                                
-#> [7] "  ..@ ref                :<environment: 0x5d47b3fff338> "           
+#> [7] "  ..@ ref                :<environment: 0x5c4ae4950318> "           
 #> [8] "  ..@ bigint             : chr \"integer64\""                       
 #> [9] "  ..@ extended_types     : logi FALSE"
 ```
@@ -356,7 +356,7 @@ By specifying `dispatcher = FALSE`, remote daemons connect directly to the host
 
 ``` r
 daemons(url = host_url(), dispatcher = FALSE)
-#> [1] "tcp://hostname:40087"
+#> [1] "tcp://hostname:40369"
 ```
 Note that above, calling `host_url()` without a port value uses the default of '0'. This is a wildcard value that will automatically cause a free ephemeral port to be assigned. The actual assigned port is provided in the return value of the call, or it may be queried at any time via `status()`.
 
@@ -370,7 +370,7 @@ status()
 #> [1] 0
 #> 
 #> $daemons
-#> [1] "tcp://hostname:40087"
+#> [1] "tcp://hostname:40369"
 ```
 To reset all connections and revert to default behaviour:
 
@@ -457,10 +457,10 @@ daemons(n = 2, url = host_url())
 #> [1] 2
 launch_remote(1:2)
 #> [1]
-#> Rscript -e 'mirai::daemon("tcp://hostname:41643",rs=c(10407,-1333183123,-1821263542,-1849417149,-770713944,-616731511,456908470))'
+#> Rscript -e 'mirai::daemon("tcp://hostname:42061",rs=c(10407,65206378,-1681371421,978039496,964317737,-1891049514,1351556191))'
 #> 
 #> [2]
-#> Rscript -e 'mirai::daemon("tcp://hostname:42847",rs=c(10407,-1917107425,-704481308,1750322114,1991745078,-659632702,-603397324))'
+#> Rscript -e 'mirai::daemon("tcp://hostname:42401",rs=c(10407,-789354243,-1756126780,-884928208,-2037464012,-229484652,-49442703))'
 daemons(0)
 #> [1] 0
 ```
@@ -487,37 +487,37 @@ The generated self-signed certificate is available via `launch_remote()`. This f
 ``` r
 launch_remote(1)
 #> [1]
-#> Rscript -e 'mirai::daemon("wss://hostname:35191/1",tls=c("-----BEGIN CERTIFICATE-----
+#> Rscript -e 'mirai::daemon("wss://hostname:45045/1",tls=c("-----BEGIN CERTIFICATE-----
 #> MIIFNzCCAx+gAwIBAgIBATANBgkqhkiG9w0BAQsFADAzMREwDwYDVQQDDAhrdW1h
 #> bW90bzERMA8GA1UECgwITmFub25leHQxCzAJBgNVBAYTAkpQMB4XDTAxMDEwMTAw
 #> MDAwMFoXDTMwMTIzMTIzNTk1OVowMzERMA8GA1UEAwwIa3VtYW1vdG8xETAPBgNV
 #> BAoMCE5hbm9uZXh0MQswCQYDVQQGEwJKUDCCAiIwDQYJKoZIhvcNAQEBBQADggIP
-#> ADCCAgoCggIBAM4WX01vQyMpV2jWSeT/mhrGCWxZu6AXFpeOcZmiLWBgaT+EOoVZ
-#> C2caPAuxbTkqqAB8omXmwwxO/chouYZQNEuGdCXYimDsb+q5HLRnQknM03DzwWDV
-#> l00d3t/JrdQrjxU04wdzizeQTFyON5xWz8ie64QJE7RezBYtIALoStKW4od2u2QH
-#> KJpFM8lkbm0YoFS49MblY+FZetjXX5E6fqBkikqLaOHbX7re/jT2DTEWn4Tc40YD
-#> zjhLNLhsF4eJKQZj4d1IALCUi79yKpV299h2HhsJ9ONKv3BfTWQhPNDjwiTxt3HT
-#> XUUrQyT+TAmBgE3ERQkKgQrRpBqDyuyNDIu4Y2AujgN5QZxsNTs9I0CJI5IF++KP
-#> ZFVKreuAh4S+ZEmmwSi2iOFfgOaZVHNPoSv+xObE0ZxDbETzM6tSzixaiVkkBaXM
-#> NL8NxxLFq5j70QYBYdmC8x4QFjJflkwJcXUYOD7sMhhLCTUlljTTJm+5Penx6O9y
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-#> VjBUMBIGA1UdEwEB/wQIMAYBAf8CAQAwHQYDVR0OBBYEFARhpxnKNWBASUs8prHU
-#> jt+r/o1QMB8GA1UdIwQYMBaAFARhpxnKNWBASUs8prHUjt+r/o1QMA0GCSqGSIb3
-#> DQEBCwUAA4ICAQC/bzIhXlyBA0dkt/ds/VaV++TKdyV1E7qN6yWRfomft8CoU6QL
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-#> oB8zEIoIFGOC262Tjz0cyG2TA/I+dSYtpqYl/6RyAqOjHU6yMRXOmSMgWBnHjQHE
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-#> S9fnRnmGRHi+ekVstmi+K80I7auQVRQsULEC8Lf8b4nLYO98KDMAi8PEOE3utKwP
-#> hyiS5Z3LARPu76FHWHfOwA5WUcHIvlRfS8nqHIXZHMCPxogCtlLizf2KOA==
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+#> yh1sDsdEGdo3RDtRAxTcYN8/thAecWCJ5cHsIn5LpGZJtOcwtnpseZR++imu6EJJ
+#> mxxwyJzmK45MjuR7dg/Oh7bohAZZHkA//pdJ8X9C7FY/d60XRVI4q6U/NhKwEZJu
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+#> 9wRlv5UaimZ8fvkBGR5I+yLwh9A9MjCJLQ3WjaUHSkSOdB//lSdt8oplAgMBAAGj
+#> VjBUMBIGA1UdEwEB/wQIMAYBAf8CAQAwHQYDVR0OBBYEFB8Aqw5F7Jcln6PzU9ZV
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+#> XkrM86SGLYoxQQ/zoAcek1aPRWMYGYLOng+FejvjVbunaazq9+evzN8bZEuM8fTH
+#> JCyg6omOF6gS+Dkvub8QLZUFOA43pJ1GWuSwcEadX4HR7mZ1Gog8a2jQ8UnTHg6m
+#> 0K+GIP2SvwcMcSX/4t0zUpwHBm4+UD66wMCS7RDDt0fExTALyDSMA+80OmDRDott
+#> 6v9YLQ4ILm8TZvsLAn+hSR32MzMbMkPh19sG+thBAwbYRByTvX86Y1m+o6biVu+n
+#> alJeEYJNSxVBCG6HoMOFsqIItjyVdGNu5YtRcxOL1cCDXtz+9i/WJb3HRgoQtFCu
+#> jQem+uQorPXNjESw5WjLg4UPLRS9d4WGQo9Sa4xPyOPPB4Q8CZ6OeIdgmw==
 #> -----END CERTIFICATE-----
-#> ",""),rs=c(10407,1853456881,618089214,-1171000473,-1302518660,-1276345523,-1705177686))'
+#> ",""),rs=c(10407,526850812,2095802317,1687455786,-1643828317,-117557112,-2063979287))'
 ```
 The printed value may be deployed directly on a remote machine.
 
@@ -749,10 +749,10 @@ daemons(4)
 vec <- c(1, 1, 4, 4, 1, 1, 1, 1)
 system.time(mirai_map(vec, Sys.sleep)[])
 #>    user  system elapsed 
-#>   0.000   0.008   4.008
+#>   0.005   0.002   4.006
 system.time(parLapply(cl, vec, Sys.sleep))
 #>    user  system elapsed 
-#>   0.008   0.006   8.011
+#>   0.010   0.000   8.012
 ```
 `.args` is used to specify further constant arguments to `.f` - the 'mean' and 'sd' in the example below:
 
@@ -762,13 +762,13 @@ with(
   mirai_map(1:3, rnorm, .args = list(mean = 20, sd = 2))[]
 )
 #> [[1]]
-#> [1] 18.30614
+#> [1] 18.72358
 #> 
 #> [[2]]
-#> [1] 22.89714 19.74490
+#> [1] 21.81064 20.25435
 #> 
 #> [[3]]
-#> [1] 20.94216 17.98050 18.15185
+#> [1] 20.00686 19.66549 18.66953
 ```
 Use `...` to further specify objects referenced but not defined in `.f` - the 'do' in the anonymous function below:
 
@@ -783,13 +783,13 @@ ml
 #> < mirai map [3/3] >
 ml[]
 #> $a
-#> [1] "39"
+#> [1] "e0"
 #> 
 #> $b
-#> [1] ff 1c
+#> [1] 84 de
 #> 
 #> $c
-#> [1] "9eaf02"
+#> [1] "4d73ce"
 ```
 Use of `mirai_map()` assumes that `daemons()` have previously been set. If not then one (non-dispatcher) daemon is set to allow the function to proceed. This ensures safe behaviour, but is unlikely to be optimal, so please ensure daemons are set beforehand.
 

vignettes/mirai.Rmd.orig

@@ -53,7 +53,7 @@ Whilst the async operation is ongoing, attempting to access a mirai's data yield
 m
 m$data
 ```
-To check whether a mirai remains unresolved i.e. its async operation is still ongoing:
+To check whether a mirai remains unresolved (yet to complete):
 ```{r unres}
 unresolved(m)
 ```