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⚡️ Speed up method GDCFacetFilters.get_files_endpt_facet_filter by 14% in src/Connectors/gdc_filters.py #8

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@codeflash-ai codeflash-ai bot commented Aug 29, 2024

📄 GDCFacetFilters.get_files_endpt_facet_filter() in src/Connectors/gdc_filters.py

📈 Performance improved by 14% (0.14x faster)

⏱️ Runtime went down from 313 microseconds to 275 microseconds

Explanation and details

To optimize the given Python program for better runtime performance and memory usage, I'll consider the following strategies.

  1. Inline Function Calls: By inlining the create_single_facet_filter function call within get_files_endpt_facet_filter, we can eliminate some overhead.
  2. Reduce Dictionary Lookups: Perform dictionary lookups as minimally as possible.
  3. Exception Handling: Instead of constructing an error message string when the key is not found, raise the ValueError directly.

Explanation

  1. Inline Function Calls: By directly embedding the functionality of create_single_facet_filter inside get_files_endpt_facet_filter, we remove an extra function call, which is a small but real performance improvement.
  2. Reduced Dictionary Lookups: Essential lookups are carried out only once, and the results are directly utilized, minimizing memory operations.
  3. Exception Handling: Although exception construction was quite efficient, directly raising an error allows us to potentially skip creating an unnecessary error string in the case of a lookup failure.

Note that these changes are only minor optimizations; the initial code was already fairly efficient due to its straightforward logic. However, these tweaks could cumulatively improve performance slightly, especially when executed in tight loops or high-frequency calls.

Correctness verification

The new optimized code was tested for correctness. The results are listed below.

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 1029 Passed − 🌀 Generated Regression Tests

(click to show generated tests)
# imports
import pytest  # used for our unit tests
from src.Connectors.gdc_filters import GDCFacetFilters

# unit tests

@pytest.fixture
def gdc_facet_filters():
    return GDCFacetFilters()
    # Outputs were verified to be equal to the original implementation

# Basic Test Cases
def test_valid_method_names(gdc_facet_filters):
    # Test with valid method names
    codeflash_output = gdc_facet_filters.get_files_endpt_facet_filter('list_of_primary_sites_flt')
    codeflash_output = gdc_facet_filters.get_files_endpt_facet_filter('list_of_exp_flt')
    codeflash_output = gdc_facet_filters.get_files_endpt_facet_filter('list_of_projects_flt')
    # Outputs were verified to be equal to the original implementation

# Edge Test Cases
def test_invalid_method_names(gdc_facet_filters):
    # Test with invalid method names
    with pytest.raises(ValueError, match="No facet key found for facet_key 'invalid_method_name'"):
        gdc_facet_filters.get_files_endpt_facet_filter('invalid_method_name')
    with pytest.raises(ValueError, match="No facet key found for facet_key ''"):
        gdc_facet_filters.get_files_endpt_facet_filter('')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'None'"):
        gdc_facet_filters.get_files_endpt_facet_filter(None)
    # Outputs were verified to be equal to the original implementation


def test_case_sensitivity(gdc_facet_filters):
    # Test with case sensitivity
    with pytest.raises(ValueError, match="No facet key found for facet_key 'List_of_primary_sites_flt'"):
        gdc_facet_filters.get_files_endpt_facet_filter('List_of_primary_sites_flt')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'LIST_OF_PRIMARY_SITES_FLT'"):
        gdc_facet_filters.get_files_endpt_facet_filter('LIST_OF_PRIMARY_SITES_FLT')
    # Outputs were verified to be equal to the original implementation

def test_whitespace_handling(gdc_facet_filters):
    # Test with leading or trailing whitespace
    with pytest.raises(ValueError, match="No facet key found for facet_key ' list_of_primary_sites_flt '"):
        gdc_facet_filters.get_files_endpt_facet_filter(' list_of_primary_sites_flt ')
    with pytest.raises(ValueError, match="No facet key found for facet_key '\tlist_of_primary_sites_flt\n'"):
        gdc_facet_filters.get_files_endpt_facet_filter('\tlist_of_primary_sites_flt\n')
    # Outputs were verified to be equal to the original implementation

# Large Scale Test Cases
def test_large_scale(gdc_facet_filters):
    # Test with a large number of method names
    for _ in range(1000):
        codeflash_output = gdc_facet_filters.get_files_endpt_facet_filter('list_of_primary_sites_flt')
    # Outputs were verified to be equal to the original implementation

# Rare or Unexpected Edge Cases
def test_unicode_and_non_ascii_characters(gdc_facet_filters):
    # Test with Unicode and non-ASCII characters
    with pytest.raises(ValueError, match="No facet key found for facet_key 'list_of_primary_sites_flt'"):
        gdc_facet_filters.get_files_endpt_facet_filter('list_of_primary_sites_flt')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'list_of_实验_flt'"):
        gdc_facet_filters.get_files_endpt_facet_filter('list_of_实验_flt')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'list_of_éxp_flt'"):
        gdc_facet_filters.get_files_endpt_facet_filter('list_of_éxp_flt')
    # Outputs were verified to be equal to the original implementation

def test_extremely_long_strings(gdc_facet_filters):
    # Test with extremely long strings
    long_string = 'a' * 10000
    with pytest.raises(ValueError, match=f"No facet key found for facet_key '{long_string}'"):
        gdc_facet_filters.get_files_endpt_facet_filter(long_string)
    long_repeated_string = 'list_of_primary_sites_flt' * 1000
    with pytest.raises(ValueError, match=f"No facet key found for facet_key '{long_repeated_string}'"):
        gdc_facet_filters.get_files_endpt_facet_filter(long_repeated_string)
    # Outputs were verified to be equal to the original implementation

def test_injection_attacks(gdc_facet_filters):
    # Test with potential injection attacks
    with pytest.raises(ValueError, match="No facet key found for facet_key 'list_of_primary_sites_flt; DROP TABLE users;'"):
        gdc_facet_filters.get_files_endpt_facet_filter('list_of_primary_sites_flt; DROP TABLE users;')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'list_of_primary_sites_flt OR 1=1'"):
        gdc_facet_filters.get_files_endpt_facet_filter('list_of_primary_sites_flt OR 1=1')
    # Outputs were verified to be equal to the original implementation

def test_sql_keywords(gdc_facet_filters):
    # Test with SQL keywords
    with pytest.raises(ValueError, match="No facet key found for facet_key 'SELECT'"):
        gdc_facet_filters.get_files_endpt_facet_filter('SELECT')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'DROP'"):
        gdc_facet_filters.get_files_endpt_facet_filter('DROP')
    with pytest.raises(ValueError, match="No facet key found for facet_key 'INSERT'"):
        gdc_facet_filters.get_files_endpt_facet_filter('INSERT')
    # Outputs were verified to be equal to the original implementation

def test_html_javascript_injection(gdc_facet_filters):
    # Test with HTML/JavaScript injection
    with pytest.raises(ValueError, match="No facet key found for facet_key '<script>alert\(\"test\"\)</script>'"):
        gdc_facet_filters.get_files_endpt_facet_filter('<script>alert("test")</script>')
    with pytest.raises(ValueError, match="No facet key found for facet_key '<div>list_of_primary_sites_flt</div>'"):
        gdc_facet_filters.get_files_endpt_facet_filter('<div>list_of_primary_sites_flt</div>')
    # Outputs were verified to be equal to the original implementation

def test_whitespace_only_strings(gdc_facet_filters):
    # Test with whitespace only strings
    with pytest.raises(ValueError, match="No facet key found for facet_key ' '"):
        gdc_facet_filters.get_files_endpt_facet_filter(' ')
    with pytest.raises(ValueError, match="No facet key found for facet_key '\t\n'"):
        gdc_facet_filters.get_files_endpt_facet_filter('\t\n')
    # Outputs were verified to be equal to the original implementation



def test_empty_string_with_whitespace(gdc_facet_filters):
    # Test with empty string with various types of whitespace
    with pytest.raises(ValueError, match="No facet key found for facet_key ''"):
        gdc_facet_filters.get_files_endpt_facet_filter('')
    with pytest.raises(ValueError, match="No facet key found for facet_key ' '"):
        gdc_facet_filters.get_files_endpt_facet_filter(' ')
    with pytest.raises(ValueError, match="No facet key found for facet_key '\n'"):
        gdc_facet_filters.get_files_endpt_facet_filter('\n')
    # Outputs were verified to be equal to the original implementation

def test_embedded_null_characters(gdc_facet_filters):
    # Test with embedded null characters
    with pytest.raises(ValueError, match="No facet key found for facet_key 'list_of_primary_sites_flt\\0'"):
        gdc_facet_filters.get_files_endpt_facet_filter('list_of_primary_sites_flt\0')
    with pytest.raises(ValueError, match="No facet key found for facet_key '\\0list_of_exp_flt'"):
        gdc_facet_filters.get_files_endpt_facet_filter('\0list_of_exp_flt')
    # Outputs were verified to be equal to the original implementation

🔘 (none found) − ⏪ Replay Tests

To optimize the given Python program for better runtime performance and memory usage, I'll consider the following strategies.

1. **Inline Function Calls**: By inlining the `create_single_facet_filter` function call within `get_files_endpt_facet_filter`, we can eliminate some overhead.
2. **Reduce Dictionary Lookups**: Perform dictionary lookups as minimally as possible.
3. **Exception Handling**: Instead of constructing an error message string when the key is not found, raise the `ValueError` directly.




### Explanation

1. **Inline Function Calls**: By directly embedding the functionality of `create_single_facet_filter` inside `get_files_endpt_facet_filter`, we remove an extra function call, which is a small but real performance improvement.
2. **Reduced Dictionary Lookups**: Essential lookups are carried out only once, and the results are directly utilized, minimizing memory operations.
3. **Exception Handling**: Although exception construction was quite efficient, directly raising an error allows us to potentially skip creating an unnecessary error string in the case of a lookup failure.

Note that these changes are only minor optimizations; the initial code was already fairly efficient due to its straightforward logic. However, these tweaks could cumulatively improve performance slightly, especially when executed in tight loops or high-frequency calls.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Aug 29, 2024
@codeflash-ai codeflash-ai bot requested a review from adhal007 August 29, 2024 20:14
@adhal007 adhal007 merged commit 37de8ba into main Aug 30, 2024
2 checks passed
@adhal007 adhal007 deleted the codeflash/optimize-GDCFacetFilters.get_files_endpt_facet_filter-2024-08-29T20.14.41 branch August 30, 2024 06:42
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