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Merge pull request #2 from mp704/patch-2
Added brief teacher documentation
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app/docs/user.md

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# YourFunctionName
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# compareGraphs
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Given axes information such as scaling, this function determines whether a graph drawing matches the provided equation and provides detailed feedback.
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Teacher-facing documentation for this function.
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# Examples
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Example 1:
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```json
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{
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"response": {
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"student_answer": "data:image/png;base64,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",
10+
"params": {
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"x_upper": "4",
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"x_lower": "-4",
13+
"y_upper": "4",
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"y_lower": "-4",
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"x_scale": "1",
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"y_scale": "1"
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}
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},
19+
"answer": "-2*x+1"

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