post TR2

Author: eyrei123

marimo-notebook/break_even_analysis_UI_elements.py

@@ -4,29 +4,31 @@
 app = marimo.App(width="medium")
 
 
-app._unparsable_cell(
-    r"""
-    oimport marimo as mo
-    """,
-    name="_",
-)
-
-
 @app.cell
-def _(
-    ui_color_costs,
-    ui_fixed_cost,
-    ui_quantity,
-    ui_selling_price,
-    ui_unit_cost,
-):
+def _():
     import matplotlib.pyplot as plt
+    import marimo as mo
+    return mo, plt
+
 
+@app.cell
+def _(ui_fixed_cost, ui_quantity, ui_selling_price, ui_unit_cost):
     fixed_cost = int(ui_fixed_cost.value)
     unit_cost = ui_unit_cost.value
     selling_price = float(ui_selling_price.value)
     upper_production_quantity = ui_quantity.value
+    return fixed_cost, selling_price, unit_cost, upper_production_quantity
+
 
+@app.cell
+def _(
+    fixed_cost,
+    plt,
+    selling_price,
+    ui_color_costs,
+    unit_cost,
+    upper_production_quantity,
+):
     break_even_quantity = fixed_cost / (selling_price - unit_cost)
     break_even_income = break_even_quantity * selling_price
 
@@ -58,28 +60,22 @@ def _(
     return (
         break_even_income,
         break_even_quantity,
-        fixed_cost,
-        plt,
         sales_income,
-        selling_price,
-        unit_cost,
         unit_costs,
         units,
-        upper_production_quantity,
     )
 
 
 @app.cell
 def _(mo):
-    options = ["40000", "50000"]
-    ui_fixed_cost = mo.ui.radio(options=options, value="50000")
+    ui_fixed_cost = mo.ui.radio(options=["40000", "50000"], value="50000")
 
     ui_unit_cost = mo.ui.slider(start=2, stop=5, step=1)
 
     ui_selling_price = mo.ui.text(value="10")
 
     ui_quantity = mo.ui.dropdown(
-        options={"10000": 10000, "12000": 12000, "15000": 15000}, value="10000"
+        options={"10000": 10000, "12000": 12000, "15000": 15000}, value="10000",
     )
 
     ui_disply_break_even = mo.ui.switch()
@@ -90,17 +86,16 @@ def _(mo):
 
     mo.md(
         f"""
-        Select Fixed Costs: {ui_fixed_cost}
+        Fixed Costs: {ui_fixed_cost}
 
-        Select Unit Cost Price: {ui_unit_cost}
+        Unit Cost Price: {ui_unit_cost}
 
-        Enter Selling Price: {ui_selling_price}
+        Selling Price: {ui_selling_price}
 
-        Select a Maximum Production Quantity: {ui_quantity}
+        Maximum Production Quantity: {ui_quantity}
         """
     )
     return (
-        options,
         ui_color_costs,
         ui_disply_break_even,
         ui_fixed_cost,

marimo-notebook/break_even_analysis_chart_code.py

@@ -1,18 +1,33 @@
 import marimo
 
-__generated_with = "0.10.14"
+__generated_with = "0.11.0"
 app = marimo.App(width="medium")
 
 
 @app.cell
 def _():
     import matplotlib.pyplot as plt
+    import marimo as mo
+    return mo, plt
 
+
+@app.cell
+def _():
     fixed_cost = 50000
     unit_cost = 2
     selling_price = 10
     upper_production_quantity = 10000
+    return fixed_cost, selling_price, unit_cost, upper_production_quantity
 
+
+@app.cell
+def _(
+    fixed_cost,
+    plt,
+    selling_price,
+    unit_cost,
+    upper_production_quantity,
+):
     break_even_quantity = fixed_cost / (selling_price - unit_cost)
     break_even_income = fixed_cost + break_even_quantity * unit_cost
 
@@ -44,13 +59,8 @@ def _():
     return (
         break_even_income,
         break_even_quantity,
-        fixed_cost,
-        plt,
         sales_income,
-        selling_price,
-        unit_cost,
         unit_costs,
-        upper_production_quantity,
         units,
     )
 

marimo-notebook/break_even_analysis_solution.py

@@ -6,27 +6,30 @@
 
 @app.cell
 def _():
+    import matplotlib.pyplot as plt
     import marimo as mo
-
-    return (mo,)
+    return mo, plt
 
 
 @app.cell
-def _(
-    ui_break_even,
-    ui_fixed_cost,
-    ui_plot_color,
-    ui_quantity,
-    ui_selling_price,
-    ui_unit_cost,
-):
-    import matplotlib.pyplot as plt
-
+def _(ui_fixed_cost, ui_quantity, ui_selling_price, ui_unit_cost):
     fixed_cost = int(ui_fixed_cost.value)
     unit_cost = ui_unit_cost.value
     selling_price = float(ui_selling_price.value)
     upper_production_quantity = ui_quantity.value
+    return fixed_cost, selling_price, unit_cost, upper_production_quantity
+
 
+@app.cell
+def _(
+    fixed_cost,
+    plt,
+    selling_price,
+    ui_break_even,
+    ui_plot_color,
+    unit_cost,
+    upper_production_quantity,
+):
     break_even_quantity = fixed_cost / (selling_price - unit_cost)
     break_even_income = break_even_quantity * selling_price
 
@@ -61,21 +64,15 @@ def _(
     return (
         break_even_income,
         break_even_quantity,
-        fixed_cost,
-        plt,
         sales_income,
-        selling_price,
         total_costs,
-        unit_cost,
         units,
-        upper_production_quantity,
     )
 
 
 @app.cell
 def _(mo):
-    options = ["40000", "50000"]
-    ui_fixed_cost = mo.ui.radio(options=options, value="50000")
+    ui_fixed_cost = mo.ui.radio(options=["40000", "50000"], value="50000")
 
     ui_unit_cost = mo.ui.slider(start=2, stop=5, step=1)
 
@@ -93,21 +90,20 @@ def _(mo):
 
     mo.md(
         f"""
-        Select Fixed Costs: {ui_fixed_cost}
+        Fixed Costs: {ui_fixed_cost}
 
-        Select Unit Cost Price: {ui_unit_cost}
+        Unit Cost Price: {ui_unit_cost}
 
-        Enter Selling Price: {ui_selling_price}
+        Selling Price: {ui_selling_price}
 
-        Select a Maximum Quantity: {ui_quantity}
+        Maximum Quantity: {ui_quantity}
 
         Display Break-Even Data: {ui_break_even}
 
-        Select Total Costs Plot Color: {ui_plot_color}
+        Total Costs Plot Color: {ui_plot_color}
         """
     )
     return (
-        options,
         ui_break_even,
         ui_fixed_cost,
         ui_plot_color,

marimo-notebook/equation.py

@@ -1,3 +1,4 @@
+
 __generated_with = "0.11.0"
 
 # %%
@@ -35,4 +36,4 @@
 x2 = (-b - math.sqrt(b**2 - 4 * a * c)) / (2 * a)
 
 # %%
-print(f"x = {x1} and {x2}.")
+print(f"x = {x1} and {x2}.")

marimo-notebook/quadratic.py

@@ -7,7 +7,6 @@
 @app.cell
 def _():
     import marimo as mo
-
     return (mo,)
 
 
@@ -48,7 +47,6 @@ def _():
 @app.cell
 def _():
     import math
-
     return (math,)
 
 

marimo-notebook/simultaneous_equations_ui.py

@@ -7,29 +7,27 @@
 @app.cell
 def _():
     import marimo as mo
-
     return (mo,)
 
 
 @app.cell
 def _(mo):
-    equation_1_x = mo.ui.text()
-    equation_1_y = mo.ui.text()
-    equation_2_x = mo.ui.text()
-    equation_2_y = mo.ui.text()
-    equation_1_result = mo.ui.text()
-    equation_2_result = mo.ui.text()
+    equation_1_x = mo.ui.text(value="-3.5")
+    equation_1_y = mo.ui.text(value="7")
+    equation_2_x = mo.ui.text(value="7")
+    equation_2_y = mo.ui.text(value="-10")
+    equation_1_result = mo.ui.text(value="0")
+    equation_2_result = mo.ui.text(value="4")
 
     mo.md(
         f"""
         Enter your equation's coefficients below:
 
         {equation_1_x}$x$ + {equation_1_y}$y$ = {equation_1_result}
-        
+
         {equation_2_x}$x$ + {equation_2_y}$y$ = {equation_2_result}
         """
     )
-
     return (
         equation_1_result,
         equation_1_x,
@@ -61,7 +59,6 @@ def _(
         [float(equation_1_result.value), float(equation_2_result.value)]
     )
     solution = np.linalg.solve(coefficients, results)
-
     return coefficients, np, results, solution
 
 
@@ -81,13 +78,13 @@ def _(
         The solution to the simultaneous equations:
 
         **{float(equation_1_x.value):.2f}$x${float(equation_1_y.value):+.2f}$y$ = {equation_1_result.value}**
-        
+
         **{float(equation_2_x.value):.2f}$x${float(equation_2_y.value):.2f}$y$ = {equation_2_result.value}**
 
         is
-        
-        **x = {solution[0]}**
-        **y = {solution[1]}**
+
+        **$x$ = {solution[0]}**
+        **$y$ = {solution[1]}**
         """
     )
     return