{
"test_id": "math_floor",
"pyspark_version": "3.5",
"generated_at": "2025-10-27T14:13:12.342070",
"input_data": [
{
"id": 1,
"a": 5,
"b": 3,
"c": 7,
"angle": 0.785,
"value": 4.5
},
{
"id": 2,
"a": 2,
"b": 8,
"c": 1,
"angle": 1.57,
"value": 3.2
},
{
"id": 3,
"a": 9,
"b": 4,
"c": 6,
"angle": 0.0,
"value": 7.8
}
],
"operation": "DataFrame operation: math_floor",
"expected_output": {
"schema": {
"field_count": 1,
"field_names": [
"FLOOR(value)"
],
"field_types": [
"long"
],
"fields": [
{
"name": "FLOOR(value)",
"type": "long",
"nullable": true
}
]
},
"data": [
{
"FLOOR(value)": 4
},
{
"FLOOR(value)": 3
},
{
"FLOOR(value)": 7
}
],
"row_count": 3
}
}