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⚡️ Speed up _tags_to_dict() by 5% in sentry_sdk/metrics.py#20

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⚡️ Speed up _tags_to_dict() by 5% in sentry_sdk/metrics.py#20
codeflash-ai[bot] wants to merge 1 commit intomasterfrom
codeflash/optimize-_tags_to_dict-2024-06-15T13.55.58

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@codeflash-ai codeflash-ai bot commented Jun 15, 2024

📄 _tags_to_dict() in sentry_sdk/metrics.py

📈 Performance improved by 5% (0.05x faster)

⏱️ Runtime went down from 474 microseconds to 449 microseconds

Explanation and details

Certainly! Here is an optimized version of the _tags_to_dict function.

Explanation of the Optimization

  1. Use of in Operator: The in operator is generally faster than dict.get when dealing with dictionary keys.

By using if tag_name in rv instead of rv.get(tag_name), the function avoids the overhead of calling a method and can also quickly access the dictionary directly. This results in a minor but cumulative performance gain, especially when processing a large number of tags.

This optimized approach maintains the same functionality but slightly improves both the runtime and readability.

Correctness verification

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

🔘 (none found) − ⚙️ Existing Unit Tests

✅ 14 Passed − 🌀 Generated Regression Tests

(click to show generated tests)
# imports
import pytest  # used for our unit tests
from sentry_sdk.metrics import _tags_to_dict

# unit tests

def test_single_tag():
    # Test with a single tag
    tags = [("tag1", "value1")]
    expected = {"tag1": "value1"}
    assert _tags_to_dict(tags) == expected

def test_multiple_unique_tags():
    # Test with multiple unique tags
    tags = [("tag1", "value1"), ("tag2", "value2")]
    expected = {"tag1": "value1", "tag2": "value2"}
    assert _tags_to_dict(tags) == expected

def test_duplicate_tag_same_values():
    # Test with duplicate tags having the same values
    tags = [("tag1", "value1"), ("tag1", "value1")]
    expected = {"tag1": ["value1", "value1"]}
    assert _tags_to_dict(tags) == expected

def test_duplicate_tag_different_values():
    # Test with duplicate tags having different values
    tags = [("tag1", "value1"), ("tag1", "value2")]
    expected = {"tag1": ["value1", "value2"]}
    assert _tags_to_dict(tags) == expected

def test_duplicate_tag_mixed_types():
    # Test with duplicate tags having mixed value types
    tags = [("tag1", "value1"), ("tag1", 2)]
    expected = {"tag1": ["value1", 2]}
    assert _tags_to_dict(tags) == expected

def test_empty_input():
    # Test with empty input
    tags = []
    expected = {}
    assert _tags_to_dict(tags) == expected

def test_non_string_tag_names():
    # Test with non-string tag names
    tags = [(1, "value1"), (2, "value2")]
    expected = {1: "value1", 2: "value2"}
    assert _tags_to_dict(tags) == expected

def test_non_string_values():
    # Test with non-string values
    tags = [("tag1", 1), ("tag2", 2.0)]
    expected = {"tag1": 1, "tag2": 2.0}
    assert _tags_to_dict(tags) == expected

def test_tag_names_with_special_characters():
    # Test with tag names containing special characters
    tags = [("tag@1", "value1"), ("tag#2", "value2")]
    expected = {"tag@1": "value1", "tag#2": "value2"}
    assert _tags_to_dict(tags) == expected

def test_large_number_of_tags():
    # Test with a large number of unique tags
    tags = [("tag{}".format(i), "value{}".format(i)) for i in range(1000)]
    expected = {"tag{}".format(i): "value{}".format(i) for i in range(1000)}
    assert _tags_to_dict(tags) == expected

def test_large_number_of_duplicate_tags():
    # Test with a large number of duplicate tags
    tags = [("tag1", "value{}".format(i)) for i in range(1000)]
    expected = {"tag1": ["value{}".format(i) for i in range(1000)]}
    assert _tags_to_dict(tags) == expected

def test_tags_with_list_values():
    # Test with tags having list values
    tags = [("tag1", ["value1", "value2"]), ("tag1", ["value3", "value4"])]
    expected = {"tag1": [["value1", "value2"], ["value3", "value4"]]}
    assert _tags_to_dict(tags) == expected

def test_tags_with_dict_values():
    # Test with tags having dictionary values
    tags = [("tag1", {"key1": "value1"}), ("tag1", {"key2": "value2"})]
    expected = {"tag1": [{"key1": "value1"}, {"key2": "value2"}]}
    assert _tags_to_dict(tags) == expected

def test_non_iterable_input():
    # Test with non-iterable input
    with pytest.raises(TypeError):
        _tags_to_dict(None)

def test_non_tuple_elements_in_input():
    # Test with non-tuple elements in input
    with pytest.raises(TypeError):
        _tags_to_dict([("tag1", "value1"), "invalid_element"])

🔘 (none found) − ⏪ Replay Tests

Certainly! Here is an optimized version of the `_tags_to_dict` function.



### Explanation of the Optimization
1. **Use of `in` Operator**: The `in` operator is generally faster than `dict.get` when dealing with dictionary keys.
   
By using `if tag_name in rv` instead of `rv.get(tag_name)`, the function avoids the overhead of calling a method and can also quickly access the dictionary directly. This results in a minor but cumulative performance gain, especially when processing a large number of tags.

This optimized approach maintains the same functionality but slightly improves both the runtime and readability.
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Jun 15, 2024
@codeflash-ai codeflash-ai bot requested a review from misrasaurabh1 June 15, 2024 13:56
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