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import trunc_mat() from tibble:: #21

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import trunc_mat() from tibble:: #21

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6 changes: 3 additions & 3 deletions DESCRIPTION
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Expand Up @@ -7,7 +7,6 @@ Description: Data stored in text file can be processed chunkwise using 'dplyr' c
are recorded and executed per data chunk, so large files can be processed with
limited memory using the 'LaF' package.
License: GPL-2
LazyData: TRUE
BugReports: https://github.com/edwindj/chunked/issues
URL: https://github.com/edwindj/chunked
Depends:
Expand All @@ -17,10 +16,11 @@ Imports:
utils,
rlang,
DBI,
progress
progress,
tibble
Suggests:
testthat,
RSQLite,
dbplyr
RoxygenNote: 7.1.1
RoxygenNote: 7.1.2
Encoding: UTF-8
1 change: 1 addition & 0 deletions NAMESPACE
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Expand Up @@ -41,5 +41,6 @@ export(write_csv_chunkwise)
export(write_table_chunkwise)
import(dplyr)
import(rlang)
importFrom(tibble,trunc_mat)
importFrom(utils,head)
importFrom(utils,tail)
1 change: 1 addition & 0 deletions R/print.R
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@@ -1,3 +1,4 @@
#' @importFrom tibble trunc_mat
#' @export
print.chunkwise <- function(x, n=NULL, width=NULL, ...){
h <- if (is.null(n)) head.chunkwise(x) else head.chunkwise(x,n)
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