From a60db913794a7e0563a5c3443311a955a98559f5 Mon Sep 17 00:00:00 2001 From: Mohammad Akhlaghi Date: Sun, 25 Nov 2018 18:28:04 +0000 Subject: More generic naming convention Until now, we were keeping the input file within the reproduction pipeline's directories using the same name as the database/server. Now, we are using a short/summarized filename convention for the input dataset. --- reproduce/config/pipeline/delete-me-wfpc2-quant.mk | 2 -- reproduce/config/pipeline/filters.mk | 25 ---------------------- 2 files changed, 27 deletions(-) delete mode 100644 reproduce/config/pipeline/delete-me-wfpc2-quant.mk delete mode 100644 reproduce/config/pipeline/filters.mk (limited to 'reproduce/config') diff --git a/reproduce/config/pipeline/delete-me-wfpc2-quant.mk b/reproduce/config/pipeline/delete-me-wfpc2-quant.mk deleted file mode 100644 index 2ff7456..0000000 --- a/reproduce/config/pipeline/delete-me-wfpc2-quant.mk +++ /dev/null @@ -1,2 +0,0 @@ -# Number of samples to create -delete-me-wfpc2-quantile = 0.65 diff --git a/reproduce/config/pipeline/filters.mk b/reproduce/config/pipeline/filters.mk deleted file mode 100644 index 6fa785d..0000000 --- a/reproduce/config/pipeline/filters.mk +++ /dev/null @@ -1,25 +0,0 @@ -# `filters' are the possible different parts of the survey, for -# example filters in broad or narrow-band astronomical imaging -# datasets. Since a generic term for them (to apply other types of -# surveys/datasets) hasn't been considered yet, we'll stick with the -# `filters' name. But feel free to correct it (or propose a -# suggestion). -# -# If your dataset only has a single filter, or this concept is not -# defined for your type of input dataset, you can ignore this -# variable. -# -# The values can be any string to identify different parts of a survey -# separated by white space characters (for example `f125w f160w' or `J -# H' if you want to specify two filters). -# -# To be clean and also help in readability of the pipeline, it is good -# practice to define a separate `filter-XXXX' variable for each -# survey/dataset, even if they have overlapping filters. -# -# These `filters' are used in the initial downloading of the data and -# it is good practice (for avoiding bugs) to keep the same filter (and -# survey) names in the filenames of the intermediate/output files -# also. This will make sure that the raw input and intermediate/final -# output are exactly related. -filters-survey = a b c d e f g h i -- cgit v1.2.1