Spaces:
Runtime error
Runtime error
feat: add Gradio interfaces for vector operations; remove old vector interface file
Browse files
maths/vectors/{vectors_interface.py → utils.py}
RENAMED
|
@@ -5,10 +5,6 @@ import gradio as gr
|
|
| 5 |
import numpy as np
|
| 6 |
import json
|
| 7 |
from typing import Union
|
| 8 |
-
from maths.vectors.vector_add import vector_add
|
| 9 |
-
from maths.vectors.vector_subtract import vector_subtract
|
| 10 |
-
from maths.vectors.vector_dot_product import vector_dot_product
|
| 11 |
-
from maths.vectors.vector_cross_product import vector_cross_product
|
| 12 |
|
| 13 |
def parse_vector(vector_str: str) -> np.ndarray:
|
| 14 |
try:
|
|
@@ -37,48 +33,4 @@ def format_output(data: Union[np.ndarray, float, str]) -> str:
|
|
| 37 |
return str(data.tolist())
|
| 38 |
elif isinstance(data, (float, int, str)):
|
| 39 |
return str(data)
|
| 40 |
-
return "Output type not recognized."
|
| 41 |
-
|
| 42 |
-
vector_add_interface = gr.Interface(
|
| 43 |
-
fn=lambda v1_str, v2_str: format_output(vector_add(parse_vector(v1_str), parse_vector(v2_str))),
|
| 44 |
-
inputs=[
|
| 45 |
-
gr.Textbox(label="Vector 1 (JSON or CSV format)", placeholder="e.g., [1,2,3] or 1,2,3"),
|
| 46 |
-
gr.Textbox(label="Vector 2 (JSON or CSV format)", placeholder="e.g., [4,5,6] or 4,5,6")
|
| 47 |
-
],
|
| 48 |
-
outputs=gr.Textbox(label="Resulting Vector"),
|
| 49 |
-
title="Vector Addition",
|
| 50 |
-
description="Adds two vectors. Ensure they have the same dimensions."
|
| 51 |
-
)
|
| 52 |
-
|
| 53 |
-
vector_subtract_interface = gr.Interface(
|
| 54 |
-
fn=lambda v1_str, v2_str: format_output(vector_subtract(parse_vector(v1_str), parse_vector(v2_str))),
|
| 55 |
-
inputs=[
|
| 56 |
-
gr.Textbox(label="Vector 1 (Minuend)", placeholder="e.g., [4,5,6]"),
|
| 57 |
-
gr.Textbox(label="Vector 2 (Subtrahend)", placeholder="e.g., [1,2,3]")
|
| 58 |
-
],
|
| 59 |
-
outputs=gr.Textbox(label="Resulting Vector"),
|
| 60 |
-
title="Vector Subtraction",
|
| 61 |
-
description="Subtracts the second vector from the first. Ensure they have the same dimensions."
|
| 62 |
-
)
|
| 63 |
-
|
| 64 |
-
vector_dot_product_interface = gr.Interface(
|
| 65 |
-
fn=lambda v1_str, v2_str: format_output(vector_dot_product(parse_vector(v1_str), parse_vector(v2_str))),
|
| 66 |
-
inputs=[
|
| 67 |
-
gr.Textbox(label="Vector 1", placeholder="e.g., [1,2,3]"),
|
| 68 |
-
gr.Textbox(label="Vector 2", placeholder="e.g., [4,5,6]")
|
| 69 |
-
],
|
| 70 |
-
outputs=gr.Textbox(label="Dot Product (Scalar)"),
|
| 71 |
-
title="Vector Dot Product",
|
| 72 |
-
description="Calculates the dot product of two vectors. Ensure they have the same dimensions."
|
| 73 |
-
)
|
| 74 |
-
|
| 75 |
-
vector_cross_product_interface = gr.Interface(
|
| 76 |
-
fn=lambda v1_str, v2_str: format_output(vector_cross_product(parse_vector(v1_str), parse_vector(v2_str))),
|
| 77 |
-
inputs=[
|
| 78 |
-
gr.Textbox(label="Vector 1 (3D)", placeholder="e.g., [1,2,3]"),
|
| 79 |
-
gr.Textbox(label="Vector 2 (3D)", placeholder="e.g., [4,5,6]")
|
| 80 |
-
],
|
| 81 |
-
outputs=gr.Textbox(label="Resulting Vector (3D)"),
|
| 82 |
-
title="Vector Cross Product",
|
| 83 |
-
description="Calculates the cross product of two 3D vectors."
|
| 84 |
-
)
|
|
|
|
| 5 |
import numpy as np
|
| 6 |
import json
|
| 7 |
from typing import Union
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
def parse_vector(vector_str: str) -> np.ndarray:
|
| 10 |
try:
|
|
|
|
| 33 |
return str(data.tolist())
|
| 34 |
elif isinstance(data, (float, int, str)):
|
| 35 |
return str(data)
|
| 36 |
+
return "Output type not recognized."
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
maths/vectors/vector_add.py
CHANGED
|
@@ -1,8 +1,10 @@
|
|
| 1 |
"""
|
| 2 |
Add two vectors of the same dimension using NumPy.
|
| 3 |
"""
|
|
|
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
|
|
|
| 6 |
|
| 7 |
Vector = Union[List[float], np.ndarray]
|
| 8 |
|
|
@@ -12,3 +14,14 @@ def vector_add(vector1: Vector, vector2: Vector) -> np.ndarray:
|
|
| 12 |
if v1.shape != v2.shape:
|
| 13 |
raise ValueError("Vectors must have the same dimensions for addition.")
|
| 14 |
return np.add(v1, v2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
"""
|
| 2 |
Add two vectors of the same dimension using NumPy.
|
| 3 |
"""
|
| 4 |
+
import gradio as gr
|
| 5 |
import numpy as np
|
| 6 |
from typing import List, Union
|
| 7 |
+
from maths.vectors.utils import parse_vector, format_output
|
| 8 |
|
| 9 |
Vector = Union[List[float], np.ndarray]
|
| 10 |
|
|
|
|
| 14 |
if v1.shape != v2.shape:
|
| 15 |
raise ValueError("Vectors must have the same dimensions for addition.")
|
| 16 |
return np.add(v1, v2)
|
| 17 |
+
|
| 18 |
+
vector_add_interface = gr.Interface(
|
| 19 |
+
fn=lambda v1_str, v2_str: format_output(vector_add(parse_vector(v1_str), parse_vector(v2_str))),
|
| 20 |
+
inputs=[
|
| 21 |
+
gr.Textbox(label="Vector 1 (JSON or CSV format)", placeholder="e.g., [1,2,3] or 1,2,3"),
|
| 22 |
+
gr.Textbox(label="Vector 2 (JSON or CSV format)", placeholder="e.g., [4,5,6] or 4,5,6")
|
| 23 |
+
],
|
| 24 |
+
outputs=gr.Textbox(label="Resulting Vector"),
|
| 25 |
+
title="Vector Addition",
|
| 26 |
+
description="Adds two vectors. Ensure they have the same dimensions."
|
| 27 |
+
)
|
maths/vectors/vector_cross_product.py
CHANGED
|
@@ -3,6 +3,9 @@ Compute the cross product of two 3-dimensional vectors using NumPy.
|
|
| 3 |
"""
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
Vector = Union[List[float], np.ndarray]
|
| 8 |
|
|
@@ -12,3 +15,14 @@ def vector_cross_product(vector1: Vector, vector2: Vector) -> np.ndarray:
|
|
| 12 |
if v1.shape != (3,) or v2.shape != (3,):
|
| 13 |
raise ValueError("Both vectors must be 3-dimensional for cross product.")
|
| 14 |
return np.cross(v1, v2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
"""
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
| 6 |
+
import gradio as gr
|
| 7 |
+
|
| 8 |
+
from maths.vectors.utils import parse_vector, format_output
|
| 9 |
|
| 10 |
Vector = Union[List[float], np.ndarray]
|
| 11 |
|
|
|
|
| 15 |
if v1.shape != (3,) or v2.shape != (3,):
|
| 16 |
raise ValueError("Both vectors must be 3-dimensional for cross product.")
|
| 17 |
return np.cross(v1, v2)
|
| 18 |
+
|
| 19 |
+
vector_cross_product_interface = gr.Interface(
|
| 20 |
+
fn=lambda v1_str, v2_str: format_output(vector_cross_product(parse_vector(v1_str), parse_vector(v2_str))),
|
| 21 |
+
inputs=[
|
| 22 |
+
gr.Textbox(label="Vector 1 (3D)", placeholder="e.g., [1,2,3]"),
|
| 23 |
+
gr.Textbox(label="Vector 2 (3D)", placeholder="e.g., [4,5,6]")
|
| 24 |
+
],
|
| 25 |
+
outputs=gr.Textbox(label="Resulting Vector (3D)"),
|
| 26 |
+
title="Vector Cross Product",
|
| 27 |
+
description="Calculates the cross product of two 3D vectors."
|
| 28 |
+
)
|
maths/vectors/vector_dot_product.py
CHANGED
|
@@ -3,6 +3,9 @@ Compute the dot product of two vectors of the same dimension using NumPy.
|
|
| 3 |
"""
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
Vector = Union[List[float], np.ndarray]
|
| 8 |
|
|
@@ -12,3 +15,14 @@ def vector_dot_product(vector1: Vector, vector2: Vector) -> float:
|
|
| 12 |
if v1.shape != v2.shape:
|
| 13 |
raise ValueError("Vectors must have the same dimensions for dot product.")
|
| 14 |
return np.dot(v1, v2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
"""
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
| 6 |
+
import gradio as gr
|
| 7 |
+
|
| 8 |
+
from maths.vectors.utils import parse_vector, format_output
|
| 9 |
|
| 10 |
Vector = Union[List[float], np.ndarray]
|
| 11 |
|
|
|
|
| 15 |
if v1.shape != v2.shape:
|
| 16 |
raise ValueError("Vectors must have the same dimensions for dot product.")
|
| 17 |
return np.dot(v1, v2)
|
| 18 |
+
|
| 19 |
+
vector_dot_product_interface = gr.Interface(
|
| 20 |
+
fn=lambda v1_str, v2_str: format_output(vector_dot_product(parse_vector(v1_str), parse_vector(v2_str))),
|
| 21 |
+
inputs=[
|
| 22 |
+
gr.Textbox(label="Vector 1", placeholder="e.g., [1,2,3]"),
|
| 23 |
+
gr.Textbox(label="Vector 2", placeholder="e.g., [4,5,6]")
|
| 24 |
+
],
|
| 25 |
+
outputs=gr.Textbox(label="Dot Product (Scalar)"),
|
| 26 |
+
title="Vector Dot Product",
|
| 27 |
+
description="Calculates the dot product of two vectors. Ensure they have the same dimensions."
|
| 28 |
+
)
|
maths/vectors/vector_subtract.py
CHANGED
|
@@ -3,6 +3,9 @@ Subtract one vector from another of the same dimension using NumPy.
|
|
| 3 |
"""
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
Vector = Union[List[float], np.ndarray]
|
| 8 |
|
|
@@ -12,3 +15,14 @@ def vector_subtract(vector1: Vector, vector2: Vector) -> np.ndarray:
|
|
| 12 |
if v1.shape != v2.shape:
|
| 13 |
raise ValueError("Vectors must have the same dimensions for subtraction.")
|
| 14 |
return np.subtract(v1, v2)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
"""
|
| 4 |
import numpy as np
|
| 5 |
from typing import List, Union
|
| 6 |
+
import gradio as gr
|
| 7 |
+
|
| 8 |
+
from maths.vectors.utils import parse_vector, format_output
|
| 9 |
|
| 10 |
Vector = Union[List[float], np.ndarray]
|
| 11 |
|
|
|
|
| 15 |
if v1.shape != v2.shape:
|
| 16 |
raise ValueError("Vectors must have the same dimensions for subtraction.")
|
| 17 |
return np.subtract(v1, v2)
|
| 18 |
+
|
| 19 |
+
vector_subtract_interface = gr.Interface(
|
| 20 |
+
fn=lambda v1_str, v2_str: format_output(vector_subtract(parse_vector(v1_str), parse_vector(v2_str))),
|
| 21 |
+
inputs=[
|
| 22 |
+
gr.Textbox(label="Vector 1 (Minuend)", placeholder="e.g., [4,5,6]"),
|
| 23 |
+
gr.Textbox(label="Vector 2 (Subtrahend)", placeholder="e.g., [1,2,3]")
|
| 24 |
+
],
|
| 25 |
+
outputs=gr.Textbox(label="Resulting Vector"),
|
| 26 |
+
title="Vector Subtraction",
|
| 27 |
+
description="Subtracts the second vector from the first. Ensure they have the same dimensions."
|
| 28 |
+
)
|
maths/vectors/vectors_tab.py
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
-
from maths.vectors.
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
|
| 7 |
vectors_interfaces_list = [
|
| 8 |
vector_add_interface, vector_subtract_interface,
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
+
from maths.vectors.vector_add import vector_add_interface
|
| 3 |
+
from maths.vectors.vector_subtract import vector_subtract_interface
|
| 4 |
+
from maths.vectors.vector_dot_product import vector_dot_product_interface
|
| 5 |
+
from maths.vectors.vector_cross_product import vector_cross_product_interface
|
| 6 |
|
| 7 |
vectors_interfaces_list = [
|
| 8 |
vector_add_interface, vector_subtract_interface,
|