add step 2 and 3
Browse files- .gitignore +1 -0
- app.py +83 -31
.gitignore
CHANGED
|
@@ -1,2 +1,3 @@
|
|
| 1 |
flagged/
|
| 2 |
__pycache__/
|
|
|
|
|
|
| 1 |
flagged/
|
| 2 |
__pycache__/
|
| 3 |
+
test.ipynb
|
app.py
CHANGED
|
@@ -32,7 +32,11 @@ def generate_example(dim1: list, dim2: list):
|
|
| 32 |
except RuntimeError:
|
| 33 |
out_shape = "error"
|
| 34 |
|
| 35 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 36 |
|
| 37 |
|
| 38 |
def sanitize_dimention(dim):
|
|
@@ -53,45 +57,93 @@ def sanitize_dimention(dim):
|
|
| 53 |
)
|
| 54 |
return out
|
| 55 |
|
| 56 |
-
def generate_table(n1,dim1,n2,dim2,out_shape,n_dim):
|
| 57 |
-
makdown_table = ""
|
| 58 |
-
makdown_table += "| <!-- --> "*n_dim + "|\n" # header
|
| 59 |
-
makdown_table += "|---"*n_dim + "|\n" # line
|
| 60 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 61 |
# tensor 1
|
| 62 |
-
|
| 63 |
-
if index < (n_dim - n1):
|
| 64 |
-
makdown_table += "| "
|
| 65 |
-
else:
|
| 66 |
-
makdown_table += f"| {dim1[index - (n_dim- n1)]}"
|
| 67 |
-
makdown_table +="|\n"
|
| 68 |
# tensor 2
|
| 69 |
-
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
|
| 77 |
def predict(dim1, dim2):
|
| 78 |
dim1 = sanitize_dimention(dim1)
|
| 79 |
dim2 = sanitize_dimention(dim2)
|
| 80 |
-
|
| 81 |
-
code = EXAMPLE_MD.format(
|
| 82 |
-
n1=str(n1), dim1=str(dim1), n2=str(n2), dim2=str(dim2), out_shape=str(out_shape)
|
| 83 |
-
)
|
| 84 |
-
n1 = len(dim1)
|
| 85 |
-
n2 = len(dim2)
|
| 86 |
-
n_dim = max(n1,n2)
|
| 87 |
-
table1 = generate_table(n1,dim1,n2,dim2,out_shape,n_dim)
|
| 88 |
-
|
| 89 |
# TODO
|
| 90 |
-
#
|
| 91 |
-
|
| 92 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 93 |
out = code
|
| 94 |
-
out+= "\n# Step1 (alignment
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
return out
|
| 96 |
|
| 97 |
|
|
|
|
| 32 |
except RuntimeError:
|
| 33 |
out_shape = "error"
|
| 34 |
|
| 35 |
+
code = EXAMPLE_MD.format(
|
| 36 |
+
n1=str(n1), dim1=str(dim1), n2=str(n2), dim2=str(dim2), out_shape=str(out_shape)
|
| 37 |
+
)
|
| 38 |
+
|
| 39 |
+
return dim1, dim2, code
|
| 40 |
|
| 41 |
|
| 42 |
def sanitize_dimention(dim):
|
|
|
|
| 57 |
)
|
| 58 |
return out
|
| 59 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
|
| 61 |
+
def create_row(dim):
|
| 62 |
+
out = "| "
|
| 63 |
+
for i in dim:
|
| 64 |
+
out = out + str(i) + " | "
|
| 65 |
+
return out + "\n"
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
def create_header(n_dim, checks=None):
|
| 69 |
+
checks = ["<!-- -->"] * n_dim if checks is None else checks
|
| 70 |
+
out = "| "
|
| 71 |
+
for i in checks:
|
| 72 |
+
out = out + i + " | "
|
| 73 |
+
out += "\n" + "|---" * n_dim + "|\n"
|
| 74 |
+
return out
|
| 75 |
+
|
| 76 |
+
|
| 77 |
+
def generate_table(dim1, dim2, checks=None):
|
| 78 |
+
n_dim = len(dim1)
|
| 79 |
+
table = create_header(n_dim, checks)
|
| 80 |
# tensor 1
|
| 81 |
+
table += create_row(dim1)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 82 |
# tensor 2
|
| 83 |
+
table += create_row(dim2)
|
| 84 |
+
return table
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
def alignment_and_fill_with_ones(dim1, dim2):
|
| 88 |
+
n_dim = max(len(dim1), len(dim2))
|
| 89 |
+
|
| 90 |
+
if len(dim1) == len(dim2):
|
| 91 |
+
pass
|
| 92 |
+
elif len(dim1) < len(dim2):
|
| 93 |
+
placeholder = [1] * (n_dim - len(dim1))
|
| 94 |
+
placeholder.extend(dim1)
|
| 95 |
+
dim1 = placeholder
|
| 96 |
+
else:
|
| 97 |
+
placeholder = [1] * (n_dim - len(dim2))
|
| 98 |
+
placeholder.extend(dim2)
|
| 99 |
+
dim2 = placeholder
|
| 100 |
+
return dim1, dim2
|
| 101 |
+
|
| 102 |
+
def check_validity(dim1,dim2):
|
| 103 |
+
if len(dim1) < 2:
|
| 104 |
+
return ["WIP"] * len(dim1)
|
| 105 |
+
out = []
|
| 106 |
+
for i in range(len(dim1)-2):
|
| 107 |
+
if dim1[i] == dim2[i]:
|
| 108 |
+
out.append("V")
|
| 109 |
+
else :
|
| 110 |
+
out.append("X")
|
| 111 |
+
# final dims
|
| 112 |
+
if dim1[-1] == dim2[-2]:
|
| 113 |
+
out.extend(["V","V"])
|
| 114 |
+
else :
|
| 115 |
+
out.extend(["X","X"])
|
| 116 |
+
return out
|
| 117 |
+
|
| 118 |
+
|
| 119 |
+
def substitute_ones_with_concat(dim1,dim2):
|
| 120 |
+
for i in range(len(dim1)-2):
|
| 121 |
+
dim1[i] = dim2[i] if dim1[i] == 1 else dim1[i]
|
| 122 |
+
dim2[i] = dim1[i] if dim2[i] == 1 else dim2[i]
|
| 123 |
+
return dim1, dim2
|
| 124 |
|
| 125 |
def predict(dim1, dim2):
|
| 126 |
dim1 = sanitize_dimention(dim1)
|
| 127 |
dim2 = sanitize_dimention(dim2)
|
| 128 |
+
dim1, dim2, code = generate_example(dim1, dim2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 129 |
# TODO
|
| 130 |
+
# fix for dims if one or both have dimensions is 1
|
| 131 |
+
# Table 1
|
| 132 |
+
dim1, dim2 = alignment_and_fill_with_ones(dim1, dim2)
|
| 133 |
+
table1 = generate_table(dim1, dim2)
|
| 134 |
+
# Table 2
|
| 135 |
+
dim1, dim2 = substitute_ones_with_concat(dim1,dim2)
|
| 136 |
+
table2 = generate_table(dim1, dim2)
|
| 137 |
+
# Table 3
|
| 138 |
+
checks = check_validity(dim1,dim2)
|
| 139 |
+
table3 = generate_table(dim1,dim2,checks)
|
| 140 |
+
|
| 141 |
out = code
|
| 142 |
+
out += "\n# Step1 (alignment and pre_append with ones)\n" + table1
|
| 143 |
+
out += "\n# Step2 (susbtitute columns that have 1 with concat)\nexcept for last 2 dimensions\n" + table2
|
| 144 |
+
out += "\n# Step3 (check if matrix multiplication is valid)\n"
|
| 145 |
+
out += "* last dimension of dim1 should equal before last dimension of dim2\n"
|
| 146 |
+
out += "* all the other dimensions should be equal to one another\n\n" + table3
|
| 147 |
return out
|
| 148 |
|
| 149 |
|