Python Evaluation from Chatbot 2025-07-29_17-34

Python Evaluation from Chatbot 2025-07-29_17-34
ID	OSW123e4567e89b12d3a456426614174000
UUID	123e4567-e89b-12d3-a456-426614174000
Label	Python Evaluation from Chatbot 2025-07-29_17-34
Machine compatible name	PythonEvaluationFromChatbot202507291734

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Statements (incoming)

Description

No description found

Item
Type(s)/Category(s)	Python Evaluation Process

Process
output<br>Definition: Process	Plot from Chatbot 2025-07-29_17-34

Python Evaluation Process

python_evaluation_codethe python code of this evaluation<br>Definition: Python Evaluation Process

import matplotlib.pyplot as plt import networkx as nx

Create a directed graph

G = nx.DiGraph()

...

Python-Code

import matplotlib.pyplot as plt
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add nodes for inputs and outputs
G.add_node("Input 1", color='lightblue')
G.add_node("Input 2", color='lightblue')
G.add_node("Process", color='lightgreen')
G.add_node("Output 1", color='lightcoral')
G.add_node("Output 2", color='lightcoral')

# Add edges to represent the process flow
G.add_edges_from([
    ("Input 1", "Process"),
    ("Input 2", "Process"),
    ("Process", "Output 1"),
    ("Process", "Output 2")
])

# Define positions of nodes
pos = {
    "Input 1": (-1, 1),
    "Input 2": (-1, -1),
    "Process": (0, 0),
    "Output 1": (1, 1),
    "Output 2": (1, -1)
}

# Draw the graph
plt.figure(figsize=(8, 6))
node_colors = [nx.get_node_attributes(G, "color")[node] for node in G.nodes()]

nx.draw(G, pos, with_labels=True, node_size=3000, node_color=node_colors, font_size=10, font_weight='bold', arrowsize=20)
plt.title("Process Flow Diagram")
plt.savefig("/tmp/output.png")
plt.show()

Process Graph

Graph

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jsondata

uuid

"123e4567-e89b-12d3-a456-426614174000"

name

"PythonEvaluationFromChatbot202507291734"

label

text	"Python Evaluation from Chatbot 2025-07-29_17-34"
lang	"en"

image

"File:OSW07ef97b871ee4cb78b4579f6e53c5d95.png"

meta

uuid

"8067cdd8-d648-4abf-8b22-4e10de42489d"

change_id

"fcac22d6-a934-4968-8cac-b93be252767a"

type

"Category:OSW136953ec4cbf49ef80e2343c0e1981c0"

output

"File:OSW07ef97b871ee4cb78b4579f6e53c5d95.png"

python_evaluation_code

"import matplotlib.pyplot as plt import networkx as nx # Create a directed graph G = nx.DiGraph() # Add nodes for inputs and outputs G.add_node("Input 1", color='lightblue') G.add_node("Input 2", color='lightblue') G.add_node("Process", color='lightgreen') G.add_node("Output 1", color='lightcoral') G.add_node("Output 2", color='lightcoral') # Add edges to represent the process flow G.add_edges_from([ ("Input 1", "Process"), ("Input 2", "Process"), ("Process", "Output 1"), ("Process", "Output 2") ]) # Define positions of nodes pos = { "Input 1": (-1, 1), "Input 2": (-1, -1), "Process": (0, 0), "Output 1": (1, 1), "Output 2": (1, -1) } # Draw the graph plt.figure(figsize=(8, 6)) node_colors = [nx.get_node_attributes(G, "color")[node] for node in G.nodes()] nx.draw(G, pos, with_labels=True, node_size=3000, node_color=node_colors, font_size=10, font_weight='bold', arrowsize=20) plt.title("Process Flow Diagram") plt.savefig("/tmp/output.png") plt.show()"