rename to TeneT

XingyuZhang2018 · Sep 1, 2022 · 0c6c511 · 0c6c511
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diff --git a/Project.toml b/Project.toml
@@ -1,4 +1,4 @@
-name = "Vumps"
+name = "TeneT"
 uuid = "260a78e0-cbf2-49ba-8157-48058c700f32"
 authors = ["XingyuZhang2018 <[email protected]> and contributors"]
 version = "0.1.0"

diff --git a/README.md b/README.md
@@ -1,11 +1,11 @@
-# Vumps.jl
+# TeneT.jl
 
-[![CI](https://github.com/XingyuZhang2018/Vumps.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/XingyuZhang2018/Vumps.jl/actions/workflows/ci.yml)
-[![codecov](https://codecov.io/gh/XingyuZhang2018/Vumps.jl/branch/master/graph/badge.svg?token=i34pxx5k2N)](https://codecov.io/gh/XingyuZhang2018/Vumps.jl)
+[![CI](https://github.com/XingyuZhang2018/TeneT.jl/actions/workflows/ci.yml/badge.svg)](https://github.com/XingyuZhang2018/TeneT.jl/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/XingyuZhang2018/TeneT.jl/branch/master/graph/badge.svg?token=i34pxx5k2N)](https://codecov.io/gh/XingyuZhang2018/TeneT.jl)
 
 This is a Julia package for the Variational Uniform Matrix product states(VUMPS) to contract infinite two-dimension square lattice tensor network.
 
-In this package we implemented the Vumps algorithms including the following:
+In this package we implemented the VUMPS algorithms including the following:
 - Complex number forward and backward propagation
 - NixNj Big Unit Cell
 - U1-symmmetry and Z2-symmmetry
@@ -15,19 +15,19 @@ This package a updated version of the original [ADVUMPS.jl](https://github.com/X
 
 ## install
 ```shell
-> git clone https://github.com/XingyuZhang2018/Vumps.jl
+> git clone https://github.com/XingyuZhang2018/TeneT.jl
 ```
 move to the file and run `julia REPL`, press `]` into `Pkg REPL`
 ```julia
 (@v1.7) pkg> activate .
-Activating environment at `..\Vumps\Project.toml`
+Activating environment at `..\TeneT\Project.toml`
 
-(Vumps) pkg> instantiate
+(TeneT) pkg> instantiate
 ```
-To get back to the Julia REPL, press `backspace` or `ctrl+C`. Then Precompile `Vumps`
+To get back to the Julia REPL, press `backspace` or `ctrl+C`. Then Precompile `TeneT`
 ```julia
-julia> using Vumps
-[ Info: Precompiling Vumps [260a78e0-cbf2-49ba-8157-48058c700f32]
+julia> using TeneT
+[ Info: Precompiling TeneT [260a78e0-cbf2-49ba-8157-48058c700f32]
 ```
 ## Examples
 ### 2D Classical Ising Model
@@ -39,5 +39,5 @@ You can modify Ni and Nj to change the Unit cell size and atype `Array` or `CuAr
 
 ### More Project including this package
 
-- [AD-Kitaev](https://github.com/XingyuZhang2018/AD-Kitaev) - Optimize iPEPS of Kitaev-like model with 1x2 unit cell Vumps.
-- [ADFPEPS.jl](https://github.com/XingyuZhang2018/ADFPEPS.jl) - Optimize fermionic iPEPS of Hubbard model with 2x2 unit cell Vumps.
+- [AD-Kitaev](https://github.com/XingyuZhang2018/AD-Kitaev) - Optimize iPEPS of Kitaev-like model with 1x2 unit cell VUMPS.
+- [ADFPEPS.jl](https://github.com/XingyuZhang2018/ADFPEPS.jl) - Optimize fermionic iPEPS of Hubbard model with 2x2 unit cell VUMPS.
diff --git a/example/exampleobs.jl b/example/exampleobs.jl
@@ -1,5 +1,5 @@
 using OMEinsum
-using Vumps: ALCtoAC
+using TeneT: ALCtoAC
 """
     observable(env, model::MT, type)
 

diff --git a/example/exampletensors.jl b/example/exampletensors.jl
@@ -1,5 +1,5 @@
-using Vumps
-using Vumps: _arraytype
+using TeneT
+using TeneT: _arraytype
 using OMEinsum
 using Zygote
 

diff --git a/src/Vumps.jl → src/TeneT.jl b/src/Vumps.jl → src/TeneT.jl
@@ -1,4 +1,4 @@
-module Vumps
+module TeneT
 
 include("patch.jl")
 include("environment.jl")

diff --git a/test/autodiff.jl b/test/autodiff.jl
@@ -1,5 +1,5 @@
-using Vumps
-using Vumps:qrpos,lqpos,leftorth,leftenv,rightorth,rightenv,ACenv,Cenv,LRtoC,ALCtoAC,ACCtoALAR,env_norm
+using TeneT
+using TeneT:qrpos,lqpos,leftorth,leftenv,rightorth,rightenv,ACenv,Cenv,LRtoC,ALCtoAC,ACCtoALAR,env_norm
 using ChainRulesCore
 using CUDA
 using LinearAlgebra

diff --git a/test/environment.jl b/test/environment.jl
@@ -1,5 +1,5 @@
-using Vumps
-using Vumps:qrpos,lqpos,leftorth,rightorth,leftenv,FLmap,rightenv,FRmap,ACenv,ACmap,Cenv,Cmap,LRtoC,ALCtoAC,ACCtoALAR,error, env_norm
+using TeneT
+using TeneT:qrpos,lqpos,leftorth,rightorth,leftenv,FLmap,rightenv,FRmap,ACenv,ACmap,Cenv,Cmap,LRtoC,ALCtoAC,ACCtoALAR,error, env_norm
 using CUDA
 using LinearAlgebra
 using Random

diff --git a/test/fixedpoint.jl b/test/fixedpoint.jl
@@ -1,5 +1,5 @@
-using Vumps
-using Vumps: fixedpoint
+using TeneT
+using TeneT: fixedpoint
 using Test
 
 struct StopFunction{T,S}

diff --git a/test/patch.jl b/test/patch.jl
@@ -1,4 +1,4 @@
-using Vumps
+using TeneT
 using KrylovKit
 using CUDA
 using Test

diff --git a/test/runtests.jl b/test/runtests.jl
@@ -1,7 +1,7 @@
-using Vumps
+using TeneT
 using Test
 
-@testset "Vumps.jl" begin
+@testset "TeneT.jl" begin
     @testset "patch" begin
         println("patch tests running...")
         include("patch.jl")

diff --git a/test/vumpsruntime.jl b/test/vumpsruntime.jl
@@ -1,8 +1,8 @@
 using CUDA
 using Random
 using Test
-using Vumps
-using Vumps: vumps, vumps_env, env_norm
+using TeneT
+using TeneT: vumps, vumps_env, env_norm
 
 @testset "$(Ni)x$(Nj) VUMPSRuntime with $atype{$dtype}" for Ni = [1,2,3], Nj = [1,2,3], atype = [Array], dtype = [Float64, ComplexF64]
     Random.seed!(100)