From 2cf0667d971ec9b8d2d1f7e4c5aa58cd1c909ef2 Mon Sep 17 00:00:00 2001
From: "nohz.afk" <149959021+nohzafk@users.noreply.github.com>
Date: Tue, 23 Jul 2024 16:21:58 +0800
Subject: [PATCH] rename files

---
 src/{malt1.gleam => flat_tensor.gleam}         |  0
 src/iris.gleam                                 |  2 +-
 src/{malt0.gleam => nested_tensor.gleam}       |  0
 ...malt1_test.gleam => flat_tensor_test.gleam} | 18 +++++++++---------
 test/iris_test.gleam                           |  2 +-
 ...lt0_test.gleam => nested_tensor_test.gleam} | 14 +++++++-------
 6 files changed, 18 insertions(+), 18 deletions(-)
 rename src/{malt1.gleam => flat_tensor.gleam} (100%)
 rename src/{malt0.gleam => nested_tensor.gleam} (100%)
 rename test/{malt1_test.gleam => flat_tensor_test.gleam} (99%)
 rename test/{malt0_test.gleam => nested_tensor_test.gleam} (98%)

diff --git a/src/malt1.gleam b/src/flat_tensor.gleam
similarity index 100%
rename from src/malt1.gleam
rename to src/flat_tensor.gleam
diff --git a/src/iris.gleam b/src/iris.gleam
index 39839ba..f7be9b9 100644
--- a/src/iris.gleam
+++ b/src/iris.gleam
@@ -3,7 +3,7 @@ import gleam/io
 import gleam/list
 import gleam/string
 import iris_data
-import malt0.{
+import nested_tensor.{
   type Block, type Hyperparameters, Block, accuracy, grid_search, init_theta,
   l2_loss, model, relu, sampling_obj, stack_blocks, tensor,
 }
diff --git a/src/malt0.gleam b/src/nested_tensor.gleam
similarity index 100%
rename from src/malt0.gleam
rename to src/nested_tensor.gleam
diff --git a/test/malt1_test.gleam b/test/flat_tensor_test.gleam
similarity index 99%
rename from test/malt1_test.gleam
rename to test/flat_tensor_test.gleam
index 5112c8a..31ef54d 100644
--- a/test/malt1_test.gleam
+++ b/test/flat_tensor_test.gleam
@@ -1,12 +1,4 @@
-import gleam/bit_array
-import gleam/bool
-import gleam/dynamic.{type Dynamic}
-import gleam/float
-import gleam/int
-import gleam/list
-import gleam_community/maths/elementary.{exponential, natural_logarithm}
-import gleeunit/should
-import malt1.{
+import flat_tensor.{
   type Differentiable, type Dual, type Shape, type Tensor, Dual, DualDiff,
   ListDiff, add_numeric, bitarray_to_floats, build_store, build_tensor, d_add,
   d_divide, d_exp, d_expt, d_log, d_multiply, d_sqr, d_sqrt, d_subtract,
@@ -17,6 +9,14 @@ import malt1.{
   tensor_equal, tlen, to_bitarray, to_diff, to_dual, to_tensor, tref, trefs,
   unwrap_ok_number, unwrap_ok_number2,
 }
+import gleam/bit_array
+import gleam/bool
+import gleam/dynamic.{type Dynamic}
+import gleam/float
+import gleam/int
+import gleam/list
+import gleam_community/maths/elementary.{exponential, natural_logarithm}
+import gleeunit/should
 
 pub fn scalar1_shape(_) {
   []
diff --git a/test/iris_test.gleam b/test/iris_test.gleam
index 633db8c..a5faf88 100644
--- a/test/iris_test.gleam
+++ b/test/iris_test.gleam
@@ -1,6 +1,6 @@
 import gleam/io
 import iris
-import malt0
+import nested_tensor
 import qcheck_gleeunit_utils/test_spec
 // only takes 10 seconds to run all the grid_search on M3 Max
 // pub fn grid_search_test_() {
diff --git a/test/malt0_test.gleam b/test/nested_tensor_test.gleam
similarity index 98%
rename from test/malt0_test.gleam
rename to test/nested_tensor_test.gleam
index 1a652bb..45b2b40 100644
--- a/test/malt0_test.gleam
+++ b/test/nested_tensor_test.gleam
@@ -9,13 +9,13 @@ import gleam/result
 import gleam/string
 import gleam_community/maths/combinatorics
 import gleeunit/should
-import malt0.{
+import nested_tensor.{
   type Scalar, type Tensor, type Theta, Block, ListTensor, Scalar, ScalarTensor,
   accuracy, adam_gradient_descent, add_0_0, build_tensor,
-  build_tensor_from_tensors, compose_block_fns, corr, correlation_overlap,
-  desc_t, desc_u, dot_product, dotted_product, ext1, ext2, get_float, get_real,
-  get_scalar, gradient_descent, gradient_of, gradient_once, hp_new,
-  hp_new_batch_size, hp_new_beta, hp_new_mu, init_shape, k_recu, l2_loss,
+  build_tensor_from_tensors, cartesian_product, compose_block_fns, corr,
+  correlation_overlap, desc_t, desc_u, dot_product, dotted_product, ext1, ext2,
+  get_float, get_real, get_scalar, gradient_descent, gradient_of, gradient_once,
+  hp_new, hp_new_batch_size, hp_new_beta, hp_new_mu, init_shape, k_recu, l2_loss,
   make_theta, map_tensor, map_tensor_recursively, multiply_0_0,
   naked_gradient_descent, new_scalar, plane, rank, rectify, rectify_0, recu,
   relu, rms_gradient_descent, samples, sampling_obj, shape, smooth, stack2,
@@ -1125,7 +1125,7 @@ pub fn cartesian_product_test() {
     }),
   )
 
-  malt0.cartesian_product([list1, list2, list3])
+  cartesian_product([list1, list2, list3])
   |> should.equal(
     [
       #(500, 0.0001, 4),
@@ -1145,7 +1145,7 @@ pub fn cartesian_product_test() {
 
   // The result will be a list of lists, each containing one element from each input list
   let r =
-    malt0.cartesian_product([
+    cartesian_product([
       [500, 1000] |> list.map(dynamic.from),
       [0.0001, 0.0002] |> list.map(dynamic.from),
       [4, 8] |> list.map(dynamic.from),