From 10eba825912516fc52e61b766976f9d3300dbc22 Mon Sep 17 00:00:00 2001
From: Felipe <fealho@gmail.com>
Date: Fri, 18 Aug 2023 14:05:40 -0700
Subject: [PATCH] Remove file added by mistake

---
 tests/integration/multi_table/test.py | 79 ---------------------------
 1 file changed, 79 deletions(-)
 delete mode 100644 tests/integration/multi_table/test.py

diff --git a/tests/integration/multi_table/test.py b/tests/integration/multi_table/test.py
deleted file mode 100644
index 603a84234..000000000
--- a/tests/integration/multi_table/test.py
+++ /dev/null
@@ -1,79 +0,0 @@
-# Setup
-import pandas as pd
-
-from sdv.constraints import create_custom_constraint_class
-from sdv.metadata.multi_table import MultiTableMetadata
-from sdv.multi_table.hma import HMASynthesizer
-
-
-def is_valid(column_names, data):
-    """Validate the constraint."""
-    return pd.Series([value[0] > 1 for value in data[column_names].to_numpy()])
-
-
-def transform(column_names, data):
-    """Transform the constraint."""
-    data[column_names] = data[column_names] ** 2
-    return data
-
-
-def reverse_transform(column_names, data):
-    """Reverse transform the constraint."""
-    data[column_names] = data[column_names] // 2
-    return data
-
-
-MyConstraint = create_custom_constraint_class(
-    is_valid,
-    transform,
-    reverse_transform
-)
-
-
-def get_custom_constraint_data_and_metadata():
-    """Return data and metadata for the custom constraint tests."""
-    parent_data = pd.DataFrame({
-        'primary_key': [1000, 1001, 1002],
-        'numerical_col': [2, 3, 4],
-        'categorical_col': ['a', 'b', 'a'],
-    })
-    child_data = pd.DataFrame({
-        'user_id': [1000, 1001, 1000],
-        'id': [1, 2, 3],
-        'random': ['a', 'b', 'c'],
-        'numerical_col': [0.2, 0.7, 1.3],
-        'numerical_col_2': [2, 4, 6],
-    })
-
-    metadata = MultiTableMetadata()
-    metadata.detect_table_from_dataframe('parent', parent_data)
-    metadata.update_column('parent', 'primary_key', sdtype='id')
-    metadata.detect_table_from_dataframe('child', child_data)
-    metadata.update_column('child', 'user_id', sdtype='id')
-    metadata.update_column('child', 'id', sdtype='id')
-    metadata.set_primary_key('parent', 'primary_key')
-    metadata.set_primary_key('child', 'id')
-    metadata.add_relationship(
-        parent_primary_key='primary_key',
-        parent_table_name='parent',
-        child_foreign_key='user_id',
-        child_table_name='child'
-    )
-
-    return parent_data, child_data, metadata
-
-
-parent_data, child_data, metadata = get_custom_constraint_data_and_metadata()
-synthesizer = HMASynthesizer(metadata)
-constraint = {
-    'table_name': 'parent',
-    'constraint_class': 'MyConstraint',
-    'constraint_parameters': {
-        'column_names': ['numerical_col']
-    }
-}
-synthesizer.add_custom_constraint_class(MyConstraint, 'MyConstraint')
-
-# Run
-synthesizer.add_constraints(constraints=[constraint])
-processed_data = synthesizer.preprocess({'parent': parent_data, 'child': child_data})