Rahim Entezari

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Block Cascading: Training Free Acceleration of Block-Causal Video Models. CoRR Hmrishav Bandyopadhyay, Nikhil Pinnaparaju, Rahim Entezari, Jim Scott, Yi-Zhe Song, Varun Jampani
2025	A*	`conf`	Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion. CVPR Eunji Kim, Siwon Kim, Minjun Park, Rahim Entezari, Sungroh Yoon
2025	J	`jnl`	SD3.5-Flash: Distribution-Guided Distillation of Generative Flows. CoRR Hmrishav Bandyopadhyay, Rahim Entezari, Jim Scott, Reshinth Adithyan, Yi-Zhe Song, Varun Jampani
2025	J	`jnl`	Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation. CoRR Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Maksim Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani
2024	A*	`conf`	Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. ICML Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Robin Rombach
2024	J	`jnl`	Scaling Rectified Flow Transformers for High-Resolution Image Synthesis. CoRR Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, Kyle Lacey, Alex Goodwin, Yannik Marek, Robin Rombach
2024	J	`jnl`	Unlocking Intrinsic Fairness in Stable Diffusion. CoRR Eunji Kim, Siwon Kim, Rahim Entezari, Sungroh Yoon
2023	A*	`conf`	DataComp: In search of the next generation of multimodal datasets. NeurIPS Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander J. Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023	J	`jnl`	DataComp: In search of the next generation of multimodal datasets. CoRR Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah M. Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt
2023	A*	`conf`	REPAIR: REnormalizing Permuted Activations for Interpolation Repair. ICLR Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
2023	J	`jnl`	The Role of Pre-training Data in Transfer Learning. CoRR Rahim Entezari, Mitchell Wortsman, Olga Saukh, Moein Shariatnia, Hanie Sedghi, Ludwig Schmidt
2022	J	`jnl`	Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. CoRR Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
2022	—	`conf`	Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images. AMAI@MICCAI Amirreza Mahbod, Rahim Entezari, Isabella Ellinger, Olga Saukh
2022	J	`jnl`	REPAIR: REnormalizing Permuted Activations for Interpolation Repair. CoRR Keller Jordan, Hanie Sedghi, Olga Saukh, Rahim Entezari, Behnam Neyshabur
2022	J	`jnl`	Studying the impact of magnitude pruning on contrastive learning methods. CoRR Francesco Corti, Rahim Entezari, Sara Hooker, Davide Bacciu, Olga Saukh
2022	A*	`conf`	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. ICLR Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
2022	—	`conf`	To Share or Not to Share: On Location Privacy in IoT Sensor Data. IoTDI Franz Papst, Naomi Stricker, Rahim Entezari, Olga Saukh
2022	J	`jnl`	Understanding the effect of sparsity on neural networks robustness. CoRR Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh
2021	J	`jnl`	The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks. CoRR Rahim Entezari, Hanie Sedghi, Olga Saukh, Behnam Neyshabur
2020	—	`conf`	PhD Forum Abstract: Understanding Deep Model Compression for IoT Devices. IPSN Rahim Entezari
2019	J	`jnl`	Class-dependent Compression of Deep Neural Networks. CoRR Rahim Entezari, Olga Saukh
2019	B	`conf`	Deep and Efficient Impact Models for Edge Characterization and Control of Energy Events. ICPADS Grigore Stamatescu, Rahim Entezari, Kay Römer, Olga Saukh
2018	—	`conf`	AVID: Adversarial Visual Irregularity Detection. ACCV (6) Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
2018	J	`jnl`	AVID: Adversarial Visual Irregularity Detection. CoRR Mohammad Sabokrou, Masoud PourReza, Mohsen Fayyaz, Rahim Entezari, Mahmood Fathy, Jürgen Gall, Ehsan Adeli
2018	J	`jnl`	Incoherent waveform design for compressed sensing radar based on pulse-train scenario. IET Commun. Rahim Entezari, Alijabbar Rashidi
2017	J	`jnl`	RFID unilateral distance bounding protocols: A trade-off between mafia and distance fraud. Comput. Commun. Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian
2014	—	`conf`	A mafia and distance fraud high-resistance RFID distance bounding protocol. ISCISC Rahim Entezari, Hossein Bahramgiri, Mahnaz Tajamolian

"""
Unit tests for database exporters.
"""
import pytest
import json
from dataclasses import dataclass, asdict
from datetime import datetime, timezone
from unittest.mock import Mock, patch, MagicMock

pytestmark = [pytest.mark.unit, pytest.mark.exporters]


# ============================================================================
# Sample Dataclass for Testing
# ============================================================================

@dataclass
class SampleData:
    """Sample dataclass for export testing."""
    sha256: str = "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
    name: str = "test_sample"
    value: int = 42
    _id: str = "test_id"


# ============================================================================
# PrintExporter Tests
# ============================================================================

class TestPrintExporter:
    """Tests for PrintExporter class."""

    def test_initialization(self, mock_logger):
        """Test PrintExporter initialization."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")

        assert exporter.index_prefix == "test_index"
        assert exporter.log is mock_logger

    def test_export_dataclass(self, mock_logger, capsys):
        """Test exporting a dataclass."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")
        sample = SampleData()

        result = exporter.export(sample)

        assert result is True
        captured = capsys.readouterr()
        assert "test_sample" in captured.out

    def test_export_list_of_dataclasses(self, mock_logger, capsys):
        """Test exporting a list of dataclasses."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")
        samples = [SampleData(name="sample1"), SampleData(name="sample2")]

        result = exporter.export(samples)

        assert result is True
        captured = capsys.readouterr()
        assert "sample1" in captured.out
        assert "sample2" in captured.out

    def test_export_dict(self, mock_logger, capsys):
        """Test exporting a dictionary."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")
        data = {"key": "value", "number": 42}

        result = exporter.export(data)

        assert result is True
        captured = capsys.readouterr()
        assert "key" in captured.out
        assert "value" in captured.out

    def test_export_none(self, mock_logger):
        """Test exporting None."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")

        result = exporter.export(None)

        assert result is True

    def test_export_empty_list(self, mock_logger):
        """Test exporting empty list."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")

        result = exporter.export([])

        assert result is True


# ============================================================================
# ElasticsearchExporter Tests
# ============================================================================

class TestElasticsearchExporter:
    """Tests for ElasticsearchExporter class."""

    def test_initialization(self, mock_logger):
        """Test ElasticsearchExporter initialization."""
        with patch('redb.settings.get_elasticsearch_client') as mock_client:
            mock_client.return_value = Mock()
            from redb.extractors.database_exporters import ElasticsearchExporter

            exporter = ElasticsearchExporter(mock_logger, "test_index")

            assert exporter.index_prefix == "test_index"
            assert exporter.log is mock_logger
            assert exporter.client is not None

    def test_export_dataclass(self, mock_logger):
        """Test exporting a dataclass to Elasticsearch."""
        with patch('redb.settings.get_elasticsearch_client') as mock_get_client:
            mock_client = Mock()
            mock_get_client.return_value = mock_client

            from redb.extractors.database_exporters import ElasticsearchExporter

            exporter = ElasticsearchExporter(mock_logger, "test_index")
            sample = SampleData()

            result = exporter.export(
                sample,
                index="test_index",
                tag="test_tag",
                hashes={"sha256": sample.sha256}
            )

            assert result is True
            mock_client.index.assert_called()

    def test_export_list(self, mock_logger):
        """Test exporting a list to Elasticsearch."""
        with patch('redb.settings.get_elasticsearch_client') as mock_get_client:
            mock_client = Mock()
            mock_get_client.return_value = mock_client

            from redb.extractors.database_exporters import ElasticsearchExporter

            exporter = ElasticsearchExporter(mock_logger, "test_index")
            samples = [SampleData(name="sample1"), SampleData(name="sample2")]

            result = exporter.export(
                samples,
                index="test_index",
                tag="test_tag",
                hashes={"sha256": "test_hash"}
            )

            assert result is True
            # Should be called twice (once per sample)
            assert mock_client.index.call_count == 2

    def test_export_failure(self, mock_logger):
        """Test handling export failure."""
        with patch('redb.settings.get_elasticsearch_client') as mock_get_client:
            mock_client = Mock()
            mock_client.index.side_effect = Exception("Connection failed")
            mock_get_client.return_value = mock_client

            from redb.extractors.database_exporters import ElasticsearchExporter

            exporter = ElasticsearchExporter(mock_logger, "test_index")
            sample = SampleData()

            result = exporter.export(
                sample,
                index="test_index",
                tag="test_tag",
                hashes={"sha256": sample.sha256}
            )

            assert result is False
            mock_logger.error.assert_called()

    def test_export_with_custom_id(self, mock_logger):
        """Test exporting with custom _id field."""
        with patch('redb.settings.get_elasticsearch_client') as mock_get_client:
            mock_client = Mock()
            mock_get_client.return_value = mock_client

            from redb.extractors.database_exporters import ElasticsearchExporter

            exporter = ElasticsearchExporter(mock_logger, "test_index")
            sample = SampleData(_id="custom_id")

            result = exporter.export(
                sample,
                index="test_index",
                tag="test_tag",
                hashes={"sha256": sample.sha256}
            )

            assert result is True


# ============================================================================
# ClickHouseExporter Tests
# ============================================================================

class TestClickHouseExporter:
    """Tests for ClickHouseExporter class."""

    def test_initialization(self, mock_logger):
        """Test ClickHouseExporter initialization."""
        from redb.extractors.database_exporters import ClickHouseExporter

        mock_client = Mock()
        exporter = ClickHouseExporter(mock_logger, "test_index", client=mock_client)

        assert exporter.index_prefix == "test_index"
        assert exporter.log is mock_logger
        assert exporter.client is mock_client

    def test_export_tuple_data(self, mock_logger):
        """Test exporting tuple data to ClickHouse."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_client.insert.return_value = True
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            data = [["hash123", "sample.exe", 1024]]
            column_names = ["sha256", "name", "size"]
            column_type_names = ["String", "String", "UInt64"]

            result = exporter.export(
                (data, column_names, column_type_names),
                table="test_table"
            )

            assert result is True

    def test_export_multi_table(self, mock_logger):
        """Test exporting multi-table data to ClickHouse."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_client.insert.return_value = True
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            data = {
                'multi_table': True,
                'table1': {
                    'table': 'test_table1',
                    'data': [["hash123", "sample.exe"]],
                    'column_names': ["sha256", "name"],
                    'column_type_names': ["String", "String"]
                }
            }

            result = exporter.export(data)

            assert result is True

    def test_export_failure(self, mock_logger):
        """Test handling export failure."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_client.insert.side_effect = Exception("Connection failed")
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            data = [["hash123", "sample.exe", 1024]]
            column_names = ["sha256", "name", "size"]
            column_type_names = ["String", "String", "UInt64"]

            result = exporter.export(
                (data, column_names, column_type_names),
                table="test_table"
            )

            assert result is False

    def test_export_missing_table(self, mock_logger):
        """Test export without table name raises error."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            data = [["hash123", "sample.exe", 1024]]
            column_names = ["sha256", "name", "size"]
            column_type_names = ["String", "String", "UInt64"]

            result = exporter.export(
                (data, column_names, column_type_names)
                # Missing table parameter
            )

            assert result is False

    def test_get_client(self, mock_logger):
        """Test get_client method."""
        from redb.extractors.database_exporters import ClickHouseExporter

        mock_client = Mock()
        exporter = ClickHouseExporter(mock_logger, "test_index", client=mock_client)

        result = exporter.get_client()

        assert result is mock_client

    def test_get_client_creates_new(self, mock_logger):
        """Test get_client creates new client if none exists."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_new_client = Mock()
            mock_create.return_value = mock_new_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            result = exporter.get_client()

            assert result is mock_new_client


# ============================================================================
# DatabaseExporter Abstract Base Class Tests
# ============================================================================

class TestDatabaseExporter:
    """Tests for DatabaseExporter abstract base class."""

    def test_cannot_instantiate_abstract(self):
        """Test that DatabaseExporter cannot be instantiated directly."""
        from redb.extractors.database_exporters import DatabaseExporter

        with pytest.raises(TypeError):
            DatabaseExporter()

    def test_subclass_must_implement_export(self):
        """Test that subclasses must implement export method."""
        from redb.extractors.database_exporters import DatabaseExporter

        # Define incomplete subclass
        class IncompleteExporter(DatabaseExporter):
            pass

        with pytest.raises(TypeError):
            IncompleteExporter()


# ============================================================================
# Null/Edge Case Tests
# ============================================================================

class TestExporterEdgeCases:
    """Tests for edge cases in exporters."""

    def test_print_exporter_with_complex_nested_data(self, mock_logger, capsys):
        """Test PrintExporter with complex nested data."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")
        data = {
            "level1": {
                "level2": {
                    "level3": [1, 2, 3]
                }
            },
            "array": [{"a": 1}, {"b": 2}]
        }

        result = exporter.export(data)

        assert result is True
        captured = capsys.readouterr()
        assert "level1" in captured.out

    def test_clickhouse_null_handling(self, mock_logger):
        """Test ClickHouse exporter handles null values."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_client.insert.return_value = True
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            # Multi-table data with null values
            data = {
                'multi_table': True,
                'table1': {
                    'table': 'test_table',
                    'data': [[None, "sample.exe", None]],
                    'column_names': ["sha256", "name", "size"],
                    'column_type_names': ["Nullable(String)", "String", "Nullable(UInt64)"]
                }
            }

            result = exporter.export(data)

            # Should handle nulls appropriately
            assert result is True

    def test_clickhouse_array_handling(self, mock_logger):
        """Test ClickHouse exporter handles array types."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_client.insert.return_value = True
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            data = {
                'multi_table': True,
                'table1': {
                    'table': 'test_table',
                    'data': [["hash", ["tag1", "tag2"]]],
                    'column_names': ["sha256", "tags"],
                    'column_type_names': ["String", "Array(String)"]
                }
            }

            result = exporter.export(data)

            assert result is True


# ============================================================================
# Type Conversion Tests
# ============================================================================

class TestExporterTypeConversions:
    """Tests for type conversions in exporters."""

    def test_clickhouse_datetime_handling(self, mock_logger):
        """Test ClickHouse exporter handles datetime values."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_client.insert.return_value = True
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            now = datetime.now(timezone.utc)
            data = {
                'multi_table': True,
                'table1': {
                    'table': 'test_table',
                    'data': [["hash", now]],
                    'column_names': ["sha256", "timestamp"],
                    'column_type_names': ["String", "DateTime64(3, 'UTC')"]
                }
            }

            result = exporter.export(data)

            assert result is True

    def test_print_exporter_datetime_serialization(self, mock_logger, capsys):
        """Test PrintExporter handles datetime serialization."""
        from redb.extractors.database_exporters import PrintExporter

        exporter = PrintExporter(mock_logger, "test_index")
        now = datetime.now(timezone.utc)
        data = {"timestamp": now, "name": "test"}

        result = exporter.export(data)

        assert result is True
        captured = capsys.readouterr()
        assert "timestamp" in captured.out


# ============================================================================
# Connection Context Manager Tests
# ============================================================================

class TestClickHouseConnectionManager:
    """Tests for ClickHouse connection context manager."""

    def test_clickhouse_connection_context(self, mock_logger):
        """Test clickhouse_connection context manager."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            with exporter.clickhouse_connection() as client:
                assert client is mock_client

            # Client should be closed after context exits
            mock_client.close.assert_called()

    def test_clickhouse_connection_close_on_error(self, mock_logger):
        """Test client is closed even if operation fails."""
        with patch('redb.settings.create_clickhouse_client') as mock_create:
            mock_client = Mock()
            mock_create.return_value = mock_client

            from redb.extractors.database_exporters import ClickHouseExporter

            exporter = ClickHouseExporter(mock_logger, "test_index")

            try:
                with exporter.clickhouse_connection() as client:
                    raise ValueError("Test error")
            except ValueError:
                pass

            # Client should still be closed
            mock_client.close.assert_called()