⚡️ Speed up method poloniex.parse_leverage by 123%
#45
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📄 123% (1.23x) speedup for
poloniex.parse_leverageinpython/ccxt/poloniex.py⏱️ Runtime :
4.90 milliseconds→2.20 milliseconds(best of86runs)📝 Explanation and details
The optimized code achieves a 122% speedup (from 4.90ms to 2.20ms) through two key optimizations to the
safe_stringandsafe_integermethods in the Exchange base class:1. Exception-based key lookup optimization: The original code used a helper method
Exchange.key_exists()to check dictionary keys before accessing them, which involved multiple function calls and redundant key lookups. The optimized version uses a direct try/except pattern that attempts the key access immediately and catches exceptions, eliminating the double lookup overhead.2. Streamlined exception handling: In
safe_integer, the optimized version consolidates exception types into a single catch block(KeyError, TypeError, IndexError)instead of separate checks, reducing branching overhead.Performance impact analysis:
safe_stringmethod shows the most dramatic improvement - from 15.6ms total time to 8.47ms (46% faster per call)safe_integermethod improves from 8.15ms to 4.33ms (47% faster per call)parse_leveragefunction (13,868 calls tosafe_stringand 4,542 calls tosafe_integer)Why this optimization works: In Python, the try/except pattern for dictionary access is generally faster than explicit key checking when keys exist most of the time (which is the common case). The "Easier to Ask for Forgiveness than Permission" (EAFP) approach avoids the overhead of multiple dictionary lookups and method calls.
Test case benefits: The optimization is particularly effective for large-scale test cases - the 1000-entry performance test shows 176% speedup, and tests with invalid entries show 88-174% improvements, indicating the optimization scales well with data volume and handles edge cases efficiently.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
import pytest
from ccxt.poloniex import poloniex
Minimal stub for poloniex class with required methods for parse_leverage
class PoloniexStub:
# Helper methods as per Exchange base class
@staticmethod
def key_exists(dictionary, key):
if hasattr(dictionary, 'getitem') and not isinstance(dictionary, str):
if isinstance(dictionary, list) and type(key) is not int:
return False
try:
value = dictionary[key]
return value is not None and value != ''
except LookupError:
return False
return False
from ccxt.poloniex import poloniex
--------------------------
BASIC TEST CASES
--------------------------
#------------------------------------------------
import pytest
from ccxt.poloniex import poloniex
Function under test: poloniex.parse_leverage and supporting minimal class structure
class DummyExchange:
# Minimal safe_string implementation
@staticmethod
def key_exists(dictionary, key):
if hasattr(dictionary, 'getitem') and not isinstance(dictionary, str):
if isinstance(dictionary, list) and type(key) is not int:
return False
try:
value = dictionary[key]
return value is not None and value != ''
except LookupError:
return False
return False
from ccxt.poloniex import poloniex
Test suite for poloniex.parse_leverage
@pytest.fixture
def poloniex_instance():
return poloniex()
-------------------------------
1. Basic Test Cases
-------------------------------
def test_basic_long_and_short_leverage(poloniex_instance):
# Standard input with both LONG and SHORT entries
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 5, "posSide": "LONG"},
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 3, "posSide": "SHORT"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 16.4μs -> 14.1μs (16.0% faster)
def test_basic_single_entry_no_posside(poloniex_instance):
# Entry with no posSide (should set both long and short to lever)
leverage = {
"data": [
{"symbol": "DOGE/USDT", "mgnMode": "isolated", "lever": 7},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 15.1μs -> 13.9μs (9.00% faster)
def test_basic_multiple_entries_last_wins(poloniex_instance):
# Multiple entries for the same posSide, last one should win
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 3, "posSide": "LONG"},
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 5, "posSide": "LONG"},
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 2, "posSide": "SHORT"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 17.0μs -> 14.2μs (19.6% faster)
-------------------------------
2. Edge Test Cases
-------------------------------
def test_edge_entry_lever_is_string(poloniex_instance):
# 'lever' is a string
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": "8", "posSide": "LONG"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 15.0μs -> 13.6μs (10.3% faster)
def test_edge_entry_lever_is_float_string(poloniex_instance):
# 'lever' is a float string, should be converted to int
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": "4.0", "posSide": "SHORT"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 15.0μs -> 13.8μs (8.74% faster)
def test_edge_entry_lever_is_invalid(poloniex_instance):
# 'lever' is a non-numeric string, should become None
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": "abc", "posSide": "LONG"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 16.6μs -> 15.1μs (9.86% faster)
def test_edge_entry_missing_symbol_and_mgnMode(poloniex_instance):
# Entry missing 'symbol' and 'mgnMode'
leverage = {
"data": [
{"lever": 5, "posSide": "LONG"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 15.0μs -> 13.8μs (8.81% faster)
def test_edge_entry_posside_unexpected_value(poloniex_instance):
# Entry with unexpected posSide value (should set both)
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 6, "posSide": "BOTH"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 15.1μs -> 13.4μs (12.8% faster)
def test_edge_multiple_symbols_last_symbol_used(poloniex_instance):
# Multiple entries with different symbols, last symbol should be used
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 3, "posSide": "LONG"},
{"symbol": "ETH/USDT", "mgnMode": "isolated", "lever": 2, "posSide": "SHORT"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 16.1μs -> 13.5μs (19.2% faster)
def test_edge_none_lever_value(poloniex_instance):
# lever is None
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": None, "posSide": "LONG"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 14.0μs -> 14.7μs (4.47% slower)
def test_edge_none_posside_value(poloniex_instance):
# posSide is None (should set both)
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 9, "posSide": None},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 14.7μs -> 13.4μs (9.80% faster)
def test_edge_lever_zero(poloniex_instance):
# lever is zero
leverage = {
"data": [
{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 0, "posSide": "LONG"},
]
}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 14.8μs -> 13.3μs (11.6% faster)
-------------------------------
3. Large Scale Test Cases
-------------------------------
def test_large_scale_mixed_symbols(poloniex_instance):
# Many entries with different symbols, last entry's symbol/marginMode/leverage should be used
data = []
for i in range(500):
data.append({"symbol": f"SYM{i}/USDT", "mgnMode": "cross", "lever": i, "posSide": "LONG"})
data.append({"symbol": "FINAL/USDT", "mgnMode": "isolated", "lever": 42, "posSide": "SHORT"})
leverage = {"data": data}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 469μs -> 171μs (174% faster)
def test_large_scale_many_invalid_entries(poloniex_instance):
# Many entries with invalid lever, only last valid one should be used
data = [{"symbol": "BTC/USDT", "mgnMode": "cross", "lever": "bad", "posSide": "LONG"} for _ in range(999)]
data.append({"symbol": "BTC/USDT", "mgnMode": "cross", "lever": 77, "posSide": "LONG"})
leverage = {"data": data}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 1.27ms -> 677μs (88.2% faster)
def test_large_scale_performance(poloniex_instance):
# Performance: 1000 entries, all valid, alternating posSide
data = []
for i in range(1000):
data.append({"symbol": "BTC/USDT", "mgnMode": "cross", "lever": i, "posSide": "LONG" if i % 2 == 0 else "SHORT"})
leverage = {"data": data}
codeflash_output = poloniex_instance.parse_leverage(leverage); result = codeflash_output # 946μs -> 343μs (176% 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-poloniex.parse_leverage-mhurfxujand push.