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⚡️ Speed up function merge_setting by 61% #29

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

📄 61% (0.61x) speedup for merge_setting in src/requests/sessions.py

⏱️ Runtime : 1.39 millisecond 867 microseconds (best of 603 runs)

📝 Explanation and details

To optimize the given Python program, let's focus on enhancing the merge_setting and to_key_val_list functions. We want to make the code more efficient by reducing unnecessary operations and making better use of Python's built-in functions. Here are the optimized versions of the functions.

Key Changes and Improvements.

  1. Simplified merge_setting.

    • Directly iterates over the request_setting to update merged_setting, which avoids creating an intermediate list.
    • Uses the pop method to remove keys that are set to None, which is more efficient and Pythonic than first collecting keys and then deleting them in a separate loop.
    • Directly initializes merged_setting from session_setting using dict_class, which simplifies the code.
  2. Minor improvements in to_key_val_list.

    • Instead of converting Mapping to items and then into a list, we directly convert to a list in one step.
    • The rest of the function remains largely the same since it is already quite optimized for its purpose.

This rewritten code should accomplish the same tasks as the original code but in a more efficient manner.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 40 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 89.5%
🌀 Generated Regression Tests Details
from collections import OrderedDict

# imports
import pytest  # used for our unit tests
from src.requests.compat import Mapping, bytes, str
from src.requests.sessions import merge_setting


# unit tests
def test_basic_merging_simple_dictionaries():
    codeflash_output = merge_setting({'key1': 'value1'}, {'key2': 'value2'})
    codeflash_output = merge_setting({'key1': 'value1'}, {'key1': 'session_value1'})

def test_handling_none_values():
    codeflash_output = merge_setting(None, {'key1': 'value1'})
    codeflash_output = merge_setting({'key1': 'value1'}, None)
    codeflash_output = merge_setting(None, None)

def test_non_dictionary_inputs():
    codeflash_output = merge_setting(True, {'key1': 'value1'})
    codeflash_output = merge_setting({'key1': 'value1'}, False)

def test_nested_dictionaries():
    codeflash_output = merge_setting({'outer_key': {'inner_key1': 'inner_value1'}}, {'outer_key': {'inner_key2': 'inner_value2'}})

def test_removing_none_values():
    codeflash_output = merge_setting({'key1': None}, {'key1': 'value1', 'key2': 'value2'})
    codeflash_output = merge_setting({'key1': 'value1', 'key2': None}, {'key2': 'value2'})

def test_large_scale():
    request_setting = {f'key{i}': f'value{i}' for i in range(1000)}
    session_setting = {f'key{i}': f'session_value{i}' for i in range(1000, 2000)}
    codeflash_output = merge_setting(request_setting, session_setting)
    for i in range(1000):
        pass
    for i in range(1000, 2000):
        pass

def test_edge_cases():
    codeflash_output = merge_setting({}, {})
    codeflash_output = merge_setting({'key1': 'value1'}, {})
    codeflash_output = merge_setting({}, {'key1': 'value1'})

def test_custom_dictionary_class():
    codeflash_output = merge_setting({'key1': 'value1'}, {'key2': 'value2'}, dict)
    codeflash_output = merge_setting({'key1': 'value1'}, {'key2': 'value2'}, OrderedDict)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

from collections import OrderedDict

# imports
import pytest  # used for our unit tests
from src.requests.compat import Mapping, bytes, str
from src.requests.sessions import merge_setting


# unit tests
def test_basic_functionality():
    # Both settings are dictionaries with different keys
    codeflash_output = merge_setting({'a': 1}, {'b': 2})
    # Both settings are dictionaries with overlapping keys
    codeflash_output = merge_setting({'a': 1}, {'a': 2})
    # One setting is None
    codeflash_output = merge_setting(None, {'a': 1})
    codeflash_output = merge_setting({'a': 1}, None)

def test_non_dictionary_inputs():
    # Both settings are non-dictionaries
    codeflash_output = merge_setting(5, 10)
    # One setting is a dictionary, the other is not
    codeflash_output = merge_setting({'a': 1}, 10)
    codeflash_output = merge_setting(5, {'a': 1})

def test_empty_dictionaries():
    # Both settings are empty dictionaries
    codeflash_output = merge_setting({}, {})
    # One setting is an empty dictionary
    codeflash_output = merge_setting({}, {'a': 1})
    codeflash_output = merge_setting({'a': 1}, {})

def test_nested_dictionaries():
    # Both settings contain nested dictionaries
    codeflash_output = merge_setting({'a': {'b': 1}}, {'a': {'c': 2}})
    # One setting contains a nested dictionary
    codeflash_output = merge_setting({'a': {'b': 1}}, {'a': 2})
    codeflash_output = merge_setting({'a': 2}, {'a': {'b': 1}})

def test_handling_none_values():
    # Keys with None values in request_setting
    codeflash_output = merge_setting({'a': None}, {'a': 1})
    # Keys with None values in session_setting
    codeflash_output = merge_setting({'a': 1}, {'a': None})
    # Keys with None values in both settings
    codeflash_output = merge_setting({'a': None}, {'a': None})

def test_large_scale():
    # Large dictionaries with thousands of key-value pairs
    request_setting = {str(i): i for i in range(1000)}
    session_setting = {str(i): i for i in range(1000, 2000)}
    merged = {str(i): i for i in range(1000)}
    codeflash_output = merge_setting(request_setting, session_setting)

    # Large dictionaries with overlapping keys
    request_setting = {str(i): i for i in range(1000)}
    session_setting = {str(i): i for i in range(500, 1500)}
    merged = {str(i): i for i in range(1000)}
    merged.update({str(i): i for i in range(1000, 1500)})
    codeflash_output = merge_setting(request_setting, session_setting)

def test_different_dictionary_types():
    # Using OrderedDict explicitly
    request_setting = OrderedDict({'a': 1})
    session_setting = OrderedDict({'b': 2})
    codeflash_output = merge_setting(request_setting, session_setting)

    # Using custom dictionary class
    class CustomDict(dict):
        pass

    request_setting = CustomDict({'a': 1})
    session_setting = CustomDict({'b': 2})

def test_complex_data_types_as_values():
    # Dictionaries with lists as values
    codeflash_output = merge_setting({'a': [1, 2]}, {'b': [3, 4]})
    # Dictionaries with tuples as values
    codeflash_output = merge_setting({'a': (1, 2)}, {'b': (3, 4)})

def test_immutable_values():
    # Dictionaries with immutable values (e.g., strings, numbers)
    codeflash_output = merge_setting({'a': 'hello'}, {'b': 'world'})
    codeflash_output = merge_setting({'a': 1}, {'b': 2})

def test_mixed_types():
    # Dictionaries with mixed types of values
    codeflash_output = merge_setting({'a': 1, 'b': 'string'}, {'c': [1, 2], 'd': (3, 4)})
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

📢 Feedback on this optimization? Discord

To optimize the given Python program, let's focus on enhancing the `merge_setting` and `to_key_val_list` functions. We want to make the code more efficient by reducing unnecessary operations and making better use of Python's built-in functions. Here are the optimized versions of the functions.



### Key Changes and Improvements.

1. **Simplified `merge_setting`**.
   - Directly iterates over the `request_setting` to update `merged_setting`, which avoids creating an intermediate list.
   - Uses the `pop` method to remove keys that are set to `None`, which is more efficient and Pythonic than first collecting keys and then deleting them in a separate loop.
   - Directly initializes `merged_setting` from `session_setting` using `dict_class`, which simplifies the code.

2. **Minor improvements in `to_key_val_list`**.
   - Instead of converting `Mapping` to items and then into a list, we directly convert to a list in one step.
   - The rest of the function remains largely the same since it is already quite optimized for its purpose. 

This rewritten code should accomplish the same tasks as the original code but in a more efficient manner.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jan 14, 2025
@codeflash-ai codeflash-ai bot requested a review from Saga4 January 14, 2025 21:03
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