1.0.7:

Added compatibility warning for interface changes in future versions.
lingfeiwang · Mar 26, 2018 · 8e183e6 · 8e183e6
1 parent 82b97e0
commit 8e183e6
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Showing 6 changed files with 9 additions and 1 deletion.
diff --git a/Makefile b/Makefile
@@ -15,7 +15,7 @@ URL_BIN_REL="$(URL_BIN)/releases"
 URL_R_REL="$(URL_R)/releases"
 VERSION1=1
 VERSION2=0
-VERSION3=6
+VERSION3=7
 LICENSE=AGPL-3
 LICENSE_FULL="GNU Affero General Public License, Version 3"
 LICENSE_URL="https://www.gnu.org/licenses/agpl-3.0"

diff --git a/UPDATES b/UPDATES
@@ -1,3 +1,5 @@
+1.0.7:
+	Added compatibility warning for interface changes in future versions.
 1.0.6:
 	Corrected a bug that may produce biased output in pij_gassist, pij_gassist_trad, and pijs_gassist when nodiag is set or when memlimit is small so computation is split into chunks.
 	Now setting histogram bounds based on the maximum of all LLRs (as opposed to the maximum of the chunk when memlimit is small) in pij_gassist, pij_gassist_trad, and pijs_gassist. This ensures the output is independent of memlimit (related to question from sritchie73@github).

diff --git a/doc.pdf b/doc.pdf
diff --git a/pij/cassist/cassist.c b/pij/cassist/cassist.c
@@ -76,6 +76,7 @@ int pijs_cassist_pv(const MATRIXF* g,const MATRIXF* t,const MATRIXF* t2,VECTORF*
 
 	//Step 1: Supernormalization
 	LOG(9,"Supernormalizing...")
+	LOG(6,"Compatibility: From version 2.x.x, Continuous data will not go through supernormalization by default. A separate function interface will be provided for supernormalization. Simple normalization to zero mean and unit variance will still proceed as before.")
 	MATRIXFF(memcpy)(gnew,g);
 	ret=supernormalizea_byrow(gnew);
 	MATRIXFF(memcpy)(tnew,t);
@@ -150,6 +151,7 @@ int pijs_cassist(const MATRIXF* g,const MATRIXF* t,const MATRIXF* t2,VECTORF* p1
 
 	//Step 1: Supernormalization
 	LOG(9,"Supernormalizing...")
+	LOG(6,"Compatibility: From version 2.x.x, Continuous data will not go through supernormalization by default. A separate function interface will be provided for supernormalization. Simple normalization to zero mean and unit variance will still proceed as before.")
 	MATRIXFF(memcpy)(gnew,g);
 	ret=supernormalizea_byrow(gnew);
 	MATRIXFF(memcpy)(tnew,t);

diff --git a/pij/gassist/gassist.c b/pij/gassist/gassist.c
@@ -81,6 +81,7 @@ int pijs_gassist_pv(const MATRIXG* g,const MATRIXF* t,const MATRIXF* t2,VECTORF*
 
 	//Step 1: Supernormalization
 	LOG(9,"Supernormalizing...")
+	LOG(6,"Compatibility: From version 2.x.x, Continuous data will not go through supernormalization by default. A separate function interface will be provided for supernormalization. Simple normalization to zero mean and unit variance will still proceed as before.")
 	MATRIXFF(memcpy)(tnew,t);
 	ret=supernormalizea_byrow(tnew);
 	MATRIXFF(memcpy)(tnew2,t2);
@@ -169,6 +170,7 @@ int pijs_gassist(const MATRIXG* g,const MATRIXF* t,const MATRIXF* t2,VECTORF* p1
 
 	//Step 1: Supernormalization
 	LOG(9,"Supernormalizing...")
+	LOG(6,"Compatibility: From version 2.x.x, Continuous data will not go through supernormalization by default. A separate function interface will be provided for supernormalization. Simple normalization to zero mean and unit variance will still proceed as before.")
 	MATRIXFF(memcpy)(tnew,t);
 	ret=supernormalizea_byrow(tnew);
 	MATRIXFF(memcpy)(tnew2,t2);

diff --git a/pij/rank.c b/pij/rank.c
@@ -125,6 +125,7 @@ int pij_rank_pv(const MATRIXF* t,const MATRIXF* t2,MATRIXF* p,size_t memlimit)
 
 	//Step 1: Supernormalization
 	LOG(9,"Supernormalizing...")
+	LOG(6,"Compatibility: From version 2.x.x, Continuous data will not go through supernormalization by default. A separate function interface will be provided for supernormalization. Simple normalization to zero mean and unit variance will still proceed as before.")
 	MATRIXFF(memcpy)(tnew,t);
 	ret=supernormalizea_byrow(tnew);
 	MATRIXFF(memcpy)(tnew2,t2);
@@ -207,6 +208,7 @@ int pij_rank(const MATRIXF* t,const MATRIXF* t2,MATRIXF* p,char nodiag,size_t me
 
 	//Step 1: Supernormalization
 	LOG(9,"Supernormalizing...")
+	LOG(6,"Compatibility: From version 2.x.x, Continuous data will not go through supernormalization by default. A separate function interface will be provided for supernormalization. Simple normalization to zero mean and unit variance will still proceed as before.")
 	MATRIXFF(memcpy)(tnew,t);
 	ret=supernormalizea_byrow(tnew);
 	MATRIXFF(memcpy)(tnew2,t2);