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authorMohammad Akhlaghi <mohammad@akhlaghi.org>2019-04-14 17:48:40 +0100
committerMohammad Akhlaghi <mohammad@akhlaghi.org>2019-04-14 17:49:55 +0100
commit4722ea598edd6b630227404c48c1c09ac527e9b8 (patch)
treed003841e5b986b01ef3a14cdf74b5a714261eff9 /reproduce/src/make/download.mk
parentece9eedff7857d58ed2d0f9f63ce6e28690982e1 (diff)
Replaced all occurances of pipeline in text
All occurances of "pipeline" have been chanaged to "project" or "template" withint the text (comments, READMEs, and comments) of the template. The main template branch is now also named `template'. This was all because `pipeline' is too generic and couldn't be distinguished from the base, and customized project.
Diffstat (limited to 'reproduce/src/make/download.mk')
-rw-r--r--reproduce/src/make/download.mk6
1 files changed, 3 insertions, 3 deletions
diff --git a/reproduce/src/make/download.mk b/reproduce/src/make/download.mk
index 28ee5ff..dfc49da 100644
--- a/reproduce/src/make/download.mk
+++ b/reproduce/src/make/download.mk
@@ -25,8 +25,8 @@
# --------------------
#
# The input dataset properties are defined in `$(pconfdir)/INPUTS.mk'. For
-# this template pipeline we only have one dataset to enable easy
-# processing, so all the extra checks in this rule may seem redundant.
+# this template we only have one dataset to enable easy processing, so all
+# the extra checks in this rule may seem redundant.
#
# In a real project, you will need more than one dataset. In that case,
# just add them to the target list and add an `elif' statement to define it
@@ -35,7 +35,7 @@
# Files in a server usually have very long names, which are mainly designed
# for helping in data-base management and being generic. Since Make uses
# file names to identify which rule to execute, and the scope of this
-# research pipeline is much less than the generic survey/dataset, it is
+# research project is much less than the generic survey/dataset, it is
# easier to have a simple/short name for the input dataset and work with
# that. In the first condition of the recipe below, we connect the short
# name with the raw database name of the dataset.