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@codeflash-ai codeflash-ai bot commented Nov 14, 2025

📄 60% (0.60x) speedup for bitrue.calculate_rate_limiter_cost in python/ccxt/bitrue.py

⏱️ Runtime : 355 microseconds 222 microseconds (best of 34 runs)

📝 Explanation and details

The optimized code achieves a 60% speedup through two key improvements to hot-path methods in the CCXT exchange library:

1. safe_value Fast-Path Optimization
The original implementation called Exchange.key_exists() for every dictionary lookup, which involved multiple type checks and exception handling. The optimized version adds a fast-path for regular dictionaries (the overwhelming use case) by checking isinstance(dictionary, dict) first and using the built-in dict.get() method directly. This eliminates:

  • Static method call overhead (Exchange.key_exists)
  • Redundant type checking for the common case
  • Exception handling overhead for standard dictionary access

2. Loop Iteration Optimization
The calculate_rate_limiter_cost method replaced an index-based loop (for i in range(0, len(byLimit))) with direct iteration (for entry in byLimit). This eliminates:

  • range() object creation
  • len() function calls
  • Array indexing operations (byLimit[i])

Performance Impact Analysis
The line profiler shows dramatic improvements:

  • safe_value: 518,050ns → 214,208ns (58.6% faster)
  • Loop iteration in calculate_rate_limiter_cost: Reduced overhead across 7,400+ iterations

Test Case Performance
The annotated tests show consistent 50-85% improvements across various scenarios, with particularly strong gains in:

  • Large byLimit arrays (17.4μs → 11.2μs for 1000 entries)
  • Dictionary fallback cases (2.34μs → 1.27μs)
  • High-frequency operations with small parameter sets

These optimizations are particularly valuable because safe_value is a utility method likely called throughout the CCXT library for configuration and parameter access, while calculate_rate_limiter_cost runs in API request hot paths where rate limiting calculations occur frequently.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 182 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest
from ccxt.bitrue import bitrue

# Test suite for bitrue.calculate_rate_limiter_cost

@pytest.fixture
def bitrue_instance():
    # Create a fresh instance for each test
    return bitrue()

# ------------------------ BASIC TEST CASES ------------------------

def test_default_cost_returned(bitrue_instance):
    # Should return 1 if no config is provided
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', {}, {}) # 2.44μs -> 1.31μs (85.6% faster)

def test_config_cost_returned(bitrue_instance):
    # Should return config['cost'] if present
    config = {'cost': 5}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', {}, config) # 2.15μs -> 1.27μs (68.8% faster)

def test_no_symbol_config_applies(bitrue_instance):
    # Should return config['noSymbol'] if 'noSymbol' in config and 'symbol' not in params
    config = {'noSymbol': 7}
    params = {}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 698ns -> 730ns (4.38% slower)

def test_no_symbol_config_does_not_apply_if_symbol_present(bitrue_instance):
    # Should not return config['noSymbol'] if 'symbol' in params
    config = {'noSymbol': 7, 'cost': 3}
    params = {'symbol': 'BTC/USDT'}
    # Should fall back to 'cost'
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 2.07μs -> 1.26μs (63.3% faster)

def test_by_limit_cost_applies(bitrue_instance):
    # Should return correct cost from byLimit
    config = {'byLimit': [[10, 1], [100, 2], [1000, 5]]}
    params = {'limit': 50}
    # 50 <= 100, so should return 2
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.88μs -> 1.19μs (58.6% faster)

def test_by_limit_cost_first_entry(bitrue_instance):
    # Should return cost for first entry if limit <= first entry
    config = {'byLimit': [[10, 1], [100, 2], [1000, 5]]}
    params = {'limit': 5}
    # 5 <= 10, should return 1
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.77μs -> 1.05μs (68.6% faster)

def test_by_limit_cost_last_entry(bitrue_instance):
    # Should return cost for last entry if limit > all entries
    config = {'byLimit': [[10, 1], [100, 2], [1000, 5]]}
    params = {'limit': 1001}
    # 1001 > 1000, so should fall back to config['cost'] or 1
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 3.66μs -> 1.63μs (124% faster)

def test_by_limit_with_cost_fallback(bitrue_instance):
    # Should fall back to config['cost'] if limit > all byLimit entries
    config = {'byLimit': [[10, 1], [100, 2]], 'cost': 9}
    params = {'limit': 101}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 3.38μs -> 1.64μs (106% faster)

def test_by_limit_with_symbol_and_no_symbol(bitrue_instance):
    # Should ignore noSymbol if symbol present and byLimit applies
    config = {'noSymbol': 10, 'byLimit': [[10, 1], [100, 2]], 'cost': 8}
    params = {'symbol': 'BTC/USDT', 'limit': 10}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.78μs -> 1.11μs (59.8% faster)

# ------------------------ EDGE TEST CASES ------------------------

def test_empty_by_limit_list(bitrue_instance):
    # Should fall back to config['cost'] or 1 if byLimit is empty
    config = {'byLimit': [], 'cost': 3}
    params = {'limit': 5}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 2.89μs -> 1.43μs (102% faster)

def test_by_limit_with_non_integer_limits(bitrue_instance):
    # Should handle float limits correctly
    config = {'byLimit': [[10.5, 1], [100.1, 2]]}
    params = {'limit': 10.5}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.72μs -> 1.07μs (61.3% faster)
    params = {'limit': 99.9}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 686ns -> 508ns (35.0% faster)
    params = {'limit': 101}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 2.39μs -> 1.22μs (95.5% faster)

def test_by_limit_with_negative_limits(bitrue_instance):
    # Should handle negative limits as less than all entries
    config = {'byLimit': [[0, 1], [10, 2]], 'cost': 7}
    params = {'limit': -5}
    # -5 <= 0, should return 1
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.70μs -> 1.09μs (55.5% faster)

def test_by_limit_with_unsorted_limits(bitrue_instance):
    # Should work regardless of byLimit order
    config = {'byLimit': [[100, 2], [10, 1], [1000, 5]]}
    params = {'limit': 15}
    # 15 <= 100, should return 2 (first matching entry)
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.79μs -> 1.04μs (72.4% faster)

def test_no_symbol_and_by_limit_conflict(bitrue_instance):
    # Should prefer noSymbol if symbol not present, even if byLimit is present
    config = {'noSymbol': 11, 'byLimit': [[10, 1], [100, 2]], 'cost': 4}
    params = {'limit': 50}
    # noSymbol applies since symbol not present
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 691ns -> 700ns (1.29% slower)

def test_no_symbol_and_by_limit_and_symbol_present(bitrue_instance):
    # Should prefer byLimit if symbol present
    config = {'noSymbol': 11, 'byLimit': [[10, 1], [100, 2]], 'cost': 4}
    params = {'symbol': 'ETH/USDT', 'limit': 50}
    # symbol present, byLimit applies
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.97μs -> 1.22μs (62.0% faster)

def test_config_with_none_values(bitrue_instance):
    # Should fall back to default if config values are None
    config = {'cost': None, 'noSymbol': None}
    params = {}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 780ns -> 727ns (7.29% faster)

def test_params_with_extra_keys(bitrue_instance):
    # Should ignore extra params and work as expected
    config = {'noSymbol': 13, 'cost': 6}
    params = {'foo': 'bar'}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 643ns -> 713ns (9.82% slower)

def test_params_with_symbol_and_extra_keys(bitrue_instance):
    # Should ignore extra params and work as expected
    config = {'noSymbol': 13, 'cost': 6}
    params = {'symbol': 'BTC/USDT', 'foo': 'bar'}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 2.23μs -> 1.31μs (69.5% faster)

def test_config_with_no_keys(bitrue_instance):
    # Should fall back to default if config is empty
    config = {}
    params = {'symbol': 'BTC/USDT'}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 2.34μs -> 1.27μs (84.3% faster)


def test_large_by_limit_list(bitrue_instance):
    # Test with a large byLimit list (1000 entries)
    by_limit = [[i, i+1] for i in range(1, 1001)]
    config = {'byLimit': by_limit, 'cost': 99}
    # Test for a value in the middle
    params = {'limit': 500}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 17.4μs -> 11.2μs (55.5% faster)
    # Test for a value at the end
    params = {'limit': 1000}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 31.9μs -> 20.4μs (56.4% faster)
    # Test for a value above all entries
    params = {'limit': 1001}
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 33.2μs -> 20.9μs (59.1% faster)

def test_large_params_dict(bitrue_instance):
    # Test with a large params dict
    params = {f'key{i}': i for i in range(1000)}
    config = {'noSymbol': 21, 'cost': 12}
    # No 'symbol' in params, so noSymbol applies
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 691ns -> 749ns (7.74% slower)
    # Add symbol, should fall back to cost
    params['symbol'] = 'BTC/USDT'
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.85μs -> 1.00μs (84.7% faster)

def test_large_by_limit_and_large_params(bitrue_instance):
    # Large byLimit and params dict, with limit present
    by_limit = [[i, i+2] for i in range(1, 1000)]
    config = {'byLimit': by_limit, 'cost': 101}
    params = {f'foo{i}': i for i in range(999)}
    params['limit'] = 888
    # Should return 890 (first entry where 888 <= 888)
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 29.5μs -> 19.0μs (55.5% faster)

def test_large_by_limit_unsorted(bitrue_instance):
    # Large unsorted byLimit
    by_limit = [[i, i+2] for i in range(1000, 0, -1)]
    config = {'byLimit': by_limit, 'cost': 77}
    params = {'limit': 500}
    # Should return the cost of the first entry where limit <= entry[0]
    # In this case, entry[0] = 1000, so should return 1002
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.58μs -> 1.05μs (50.9% faster)

def test_large_by_limit_with_limit_below_all(bitrue_instance):
    # limit below all byLimit entries
    by_limit = [[i, i+2] for i in range(10, 1000)]
    config = {'byLimit': by_limit, 'cost': 88}
    params = {'limit': 1}
    # 1 <= 10, so should return 12
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 1.52μs -> 1.01μs (50.0% faster)

def test_large_by_limit_with_limit_above_all(bitrue_instance):
    # limit above all byLimit entries
    by_limit = [[i, i+2] for i in range(1, 1000)]
    config = {'byLimit': by_limit, 'cost': 99}
    params = {'limit': 1001}
    # Should fall back to cost
    codeflash_output = bitrue_instance.calculate_rate_limiter_cost('api', 'method', 'path', params, config) # 34.6μs -> 21.4μs (61.7% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import pytest
from ccxt.bitrue import bitrue

# unit tests

@pytest.fixture
def exchange():
    return bitrue()

# -------------------- BASIC TEST CASES --------------------

def test_default_cost(exchange):
    # Should return 1 if config is empty
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, {}) # 2.37μs -> 1.25μs (88.4% faster)

def test_explicit_cost(exchange):
    # Should return config['cost'] if present
    config = {'cost': 5}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, config) # 2.09μs -> 1.21μs (72.7% faster)

def test_noSymbol_triggered(exchange):
    # Should return config['noSymbol'] if 'noSymbol' in config and 'symbol' not in params
    config = {'noSymbol': 7}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, config) # 738ns -> 689ns (7.11% faster)

def test_noSymbol_not_triggered_if_symbol_present(exchange):
    # Should NOT return config['noSymbol'] if 'symbol' in params
    config = {'noSymbol': 7, 'cost': 3}
    params = {'symbol': 'BTC/USDT'}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 2.15μs -> 1.29μs (66.8% faster)

def test_byLimit_applied(exchange):
    # Should return correct cost from byLimit
    config = {'byLimit': [[10, 1], [100, 2], [1000, 3]], 'cost': 10}
    params = {'limit': 50}
    # 50 <= 100, so cost should be 2
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.86μs -> 1.13μs (64.3% faster)

def test_byLimit_applied_lowest(exchange):
    # Should return cost for lowest limit
    config = {'byLimit': [[10, 1], [100, 2], [1000, 3]], 'cost': 10}
    params = {'limit': 5}
    # 5 <= 10, so cost should be 1
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.67μs -> 1.03μs (61.8% faster)

def test_byLimit_applied_highest(exchange):
    # Should return cost for highest limit
    config = {'byLimit': [[10, 1], [100, 2], [1000, 3]], 'cost': 10}
    params = {'limit': 999}
    # 999 <= 1000, so cost should be 3
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 2.01μs -> 1.20μs (67.6% faster)

def test_byLimit_not_triggered_if_limit_too_high(exchange):
    # Should return config['cost'] if limit > all byLimit thresholds
    config = {'byLimit': [[10, 1], [100, 2], [1000, 3]], 'cost': 10}
    params = {'limit': 1001}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 3.47μs -> 1.77μs (95.8% faster)

def test_byLimit_not_triggered_if_no_limit(exchange):
    # Should return config['cost'] if 'limit' not in params
    config = {'byLimit': [[10, 1], [100, 2], [1000, 3]], 'cost': 8}
    params = {}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 2.11μs -> 1.26μs (66.8% faster)

# -------------------- EDGE TEST CASES --------------------

def test_noSymbol_and_byLimit_both_present(exchange):
    # If both 'noSymbol' and 'byLimit' present, should prefer 'noSymbol' if no symbol
    config = {'noSymbol': 2, 'byLimit': [[10, 1], [100, 2]], 'cost': 99}
    params = {}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 655ns -> 709ns (7.62% slower)

def test_byLimit_and_noSymbol_with_symbol(exchange):
    # If both present, but symbol present, should use byLimit if limit present
    config = {'noSymbol': 2, 'byLimit': [[10, 1], [100, 2]], 'cost': 99}
    params = {'symbol': 'ETH/USDT', 'limit': 10}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.79μs -> 1.12μs (59.5% faster)

def test_byLimit_empty_list(exchange):
    # If byLimit is empty, should fall back to cost
    config = {'byLimit': [], 'cost': 7}
    params = {'limit': 5}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 3.02μs -> 1.44μs (109% faster)

def test_byLimit_no_cost(exchange):
    # If byLimit does not match and no cost, should fall back to 1
    config = {'byLimit': [[10, 1]]}
    params = {'limit': 999}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 3.65μs -> 1.58μs (131% faster)

def test_byLimit_non_int_limit(exchange):
    # Should handle float limits correctly
    config = {'byLimit': [[10, 1], [100, 2]], 'cost': 5}
    params = {'limit': 10.0}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.81μs -> 1.11μs (63.1% faster)

def test_byLimit_limit_exact_threshold(exchange):
    # Should match if limit equals threshold
    config = {'byLimit': [[10, 1], [100, 2]], 'cost': 5}
    params = {'limit': 10}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.79μs -> 1.06μs (69.2% faster)

def test_byLimit_limit_negative(exchange):
    # Negative limit should match lowest threshold
    config = {'byLimit': [[10, 1], [100, 2]], 'cost': 5}
    params = {'limit': -1}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.74μs -> 1.04μs (66.6% faster)

def test_symbol_none(exchange):
    # If symbol is present but None, should treat as present
    config = {'noSymbol': 9, 'cost': 2}
    params = {'symbol': None}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 2.25μs -> 1.29μs (74.5% faster)

def test_symbol_empty_string(exchange):
    # If symbol is present but empty string, should treat as present
    config = {'noSymbol': 9, 'cost': 2}
    params = {'symbol': ''}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 2.15μs -> 1.30μs (65.0% faster)


def test_params_none(exchange):
    # If params is None, should behave as empty dict
    config = {'cost': 3}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", None, config) # 2.24μs -> 1.31μs (71.0% faster)

def test_params_non_dict(exchange):
    # If params is not a dict, should not crash
    config = {'cost': 4}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", "notadict", config) # 2.13μs -> 1.19μs (79.4% faster)

def test_config_non_dict(exchange):
    # If config is not a dict, should not crash and return 1
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, "notadict") # 2.04μs -> 1.86μs (9.81% faster)

def test_config_cost_zero(exchange):
    # Should handle zero cost
    config = {'cost': 0}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, config) # 2.16μs -> 1.12μs (92.0% faster)

def test_config_cost_negative(exchange):
    # Should handle negative cost
    config = {'cost': -5}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, config) # 2.12μs -> 1.19μs (78.5% faster)

def test_config_cost_float(exchange):
    # Should handle float cost
    config = {'cost': 2.5}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, config) # 2.17μs -> 1.23μs (76.0% faster)

def test_config_cost_string(exchange):
    # Should handle string cost
    config = {'cost': 'abc'}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", {}, config) # 2.15μs -> 1.24μs (72.6% faster)



def test_large_byLimit(exchange):
    # Large byLimit array, limit in the middle
    byLimit = [[i, i+1] for i in range(1, 1000)]
    config = {'byLimit': byLimit, 'cost': 9999}
    params = {'limit': 500}
    # Should return 501 (first entry where 500 <= 500)
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 17.2μs -> 11.3μs (51.7% faster)

def test_large_byLimit_high_limit(exchange):
    # Large byLimit array, limit above all thresholds
    byLimit = [[i, i+1] for i in range(1, 1000)]
    config = {'byLimit': byLimit, 'cost': 8888}
    params = {'limit': 1001}
    # Should return cost since no entry matches
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 34.6μs -> 21.6μs (60.2% faster)

def test_large_byLimit_low_limit(exchange):
    # Large byLimit array, limit below all thresholds
    byLimit = [[i, i+1] for i in range(1, 1000)]
    config = {'byLimit': byLimit, 'cost': 7777}
    params = {'limit': 0}
    # Should return 2 (first entry where 0 <= 1)
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.63μs -> 1.10μs (47.5% faster)

def test_large_byLimit_edge_threshold(exchange):
    # Limit exactly at the last threshold
    byLimit = [[i, i+1] for i in range(1, 1000)]
    config = {'byLimit': byLimit, 'cost': 6666}
    params = {'limit': 999}
    # Should return 1000
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 32.9μs -> 21.1μs (56.1% faster)

def test_large_byLimit_reverse_order(exchange):
    # byLimit not sorted, should still work as per algorithm
    byLimit = [[1000, 1], [500, 2], [100, 3], [10, 4]]
    config = {'byLimit': byLimit, 'cost': 99}
    params = {'limit': 50}
    # Should match 100, so return 3
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.82μs -> 1.08μs (68.6% faster)

def test_large_byLimit_sparse(exchange):
    # byLimit with sparse thresholds
    byLimit = [[10, 1], [100, 2], [500, 3], [999, 4]]
    config = {'byLimit': byLimit, 'cost': 55}
    params = {'limit': 501}
    # Should match 999, so return 4
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.99μs -> 1.28μs (56.1% faster)

def test_large_byLimit_all_same_cost(exchange):
    # All costs are the same
    byLimit = [[i, 5] for i in range(1, 1000)]
    config = {'byLimit': byLimit, 'cost': 5}
    params = {'limit': 500}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 17.1μs -> 11.1μs (54.3% faster)

def test_large_byLimit_first_entry(exchange):
    # Limit matches first entry
    byLimit = [[1, 123], [100, 456], [1000, 789]]
    config = {'byLimit': byLimit, 'cost': 999}
    params = {'limit': 1}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.75μs -> 1.06μs (65.1% faster)

def test_large_byLimit_last_entry(exchange):
    # Limit matches last entry
    byLimit = [[1, 123], [100, 456], [1000, 789]]
    config = {'byLimit': byLimit, 'cost': 999}
    params = {'limit': 1000}
    codeflash_output = exchange.calculate_rate_limiter_cost("public", "GET", "/dummy", params, config) # 1.99μs -> 1.20μs (65.8% faster)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-bitrue.calculate_rate_limiter_cost-mhy56u13 and push.

Codeflash

The optimized code achieves a **60% speedup** through two key improvements to hot-path methods in the CCXT exchange library:

**1. `safe_value` Fast-Path Optimization**
The original implementation called `Exchange.key_exists()` for every dictionary lookup, which involved multiple type checks and exception handling. The optimized version adds a fast-path for regular dictionaries (the overwhelming use case) by checking `isinstance(dictionary, dict)` first and using the built-in `dict.get()` method directly. This eliminates:
- Static method call overhead (`Exchange.key_exists`)
- Redundant type checking for the common case
- Exception handling overhead for standard dictionary access

**2. Loop Iteration Optimization**
The `calculate_rate_limiter_cost` method replaced an index-based loop (`for i in range(0, len(byLimit))`) with direct iteration (`for entry in byLimit`). This eliminates:
- `range()` object creation
- `len()` function calls
- Array indexing operations (`byLimit[i]`)

**Performance Impact Analysis**
The line profiler shows dramatic improvements:
- `safe_value`: 518,050ns → 214,208ns (58.6% faster)
- Loop iteration in `calculate_rate_limiter_cost`: Reduced overhead across 7,400+ iterations

**Test Case Performance**
The annotated tests show consistent 50-85% improvements across various scenarios, with particularly strong gains in:
- Large `byLimit` arrays (17.4μs → 11.2μs for 1000 entries)
- Dictionary fallback cases (2.34μs → 1.27μs)
- High-frequency operations with small parameter sets

These optimizations are particularly valuable because `safe_value` is a utility method likely called throughout the CCXT library for configuration and parameter access, while `calculate_rate_limiter_cost` runs in API request hot paths where rate limiting calculations occur frequently.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 14, 2025 00:51
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Nov 14, 2025
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