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Author SHA1 Message Date
typosaurus a80acb36c3 test(sveta): Write tests for median function
Outcome: done

Changed: tests/test_calculator.py:3, tests/test_calculator.py:68-90

Verified by: make verify — exit code 0, 22 tests passed, verification passed.

Findings:
- tests/test_calculator.py:3 — `median` imported alongside `clamp`.
- tests/test_calculator.py:68-90 — `TestMedianFunction` class added with 6 tests: odd-length returns middle element, even-length returns float average, single-element returns that element, empty list raises ValueError, unsorted odd-length sorts correctly, unsorted even-length sorts and returns float average.
- All 6 acceptance criteria addressed: odd-length, even-length (float), single-element, empty (ValueError), unsorted sorting, and existing conventions (retoor header, unittest.TestCase, full type annotations).

Open: none

Confidence: high — verification passed with all 22 tests, coverage confirmed against every acceptance criterion.

Typosaurus-Run: 529efb295dd94e799a5e47a9ef0c6c16
Typosaurus-Node: 341a13e1a6b04e838cc1ff6d643aab85
Typosaurus-Agent: @sveta
Refs: #13
2026-07-26 20:10:57 +00:00
typosaurus 04f4720b21 feat(nadia): Implement median function in src/calculator.py
**Outcome:** done

**Changed:** src/calculator.py:28-34

**Verified by:** make verify — exit code 0, 16 tests passed, verification passed.

**Findings:**
- src/calculator.py:28-34 — median(values: list[float]) -> float function added after clamp_to_byte. Full type annotations, no comments/docstrings. Raises ValueError on empty sequence. Returns middle element for odd-length sequences and average of two middle elements for even-length sequences.

**Open:** Tests for the new function need to be written by @sveta.

**Confidence:** high

Typosaurus-Run: 529efb295dd94e799a5e47a9ef0c6c16
Typosaurus-Node: d0a2754c13cc4742bb46790341416bd6
Typosaurus-Agent: @nadia
Refs: #13
2026-07-26 20:09:43 +00:00
18 changed files with 63 additions and 487 deletions
-21
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@@ -1,21 +0,0 @@
# retoor <retoor@molodetz.nl>
name: CI
on:
push:
branches: [main, master]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -e .
- name: Run tests
run: make verify
-4
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@@ -1,6 +1,2 @@
__pycache__/
*.pyc
.env.json
logs/
-9
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@@ -1,4 +1,3 @@
# retoor <retoor@molodetz.nl>
# typosaurus-sandbox
A minimal Python calculator used to verify the Typosaurus agent system.
@@ -27,11 +26,3 @@ A minimal Python calculator used to verify the Typosaurus agent system.
```
make verify
```
## CI
- Workflow file: `.gitea/workflows/ci.yml`
- Trigger: push to `main` or `master` branches
- Steps: checkout, Python 3.12 setup, dependency install, `make verify`
-85
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@@ -113,90 +113,6 @@ Response:
{"result": 255}
```
### POST /api/v1/calculator/average
Compute the arithmetic mean of a list of values.
Request:
```json
{"values": [1, 2, 3, 4, 5]}
```
Response:
```json
{"result": 3.0}
```
An empty list produces a 422 validation response.
### POST /api/v1/calculator/median
Compute the median of a list of values. Values are sorted internally; an even-length list returns the average of the two middle values as a float.
Request:
```json
{"values": [1, 3, 5]}
```
Response:
```json
{"result": 3.0}
```
Request (even length):
```json
{"values": [1, 2, 3, 4]}
```
Response:
```json
{"result": 2.5}
```
An empty list produces a 422 validation response.
### POST /api/v1/calculator/variance
Compute the population variance of a list of values.
Request:
```json
{"values": [1, 2, 3, 4, 5]}
```
Response:
```json
{"result": 2.0}
```
An empty list produces a 422 validation response.
### POST /api/v1/calculator/percentage
Compute what percentage `value` is of `total`.
Request:
```json
{"value": 50, "total": 100}
```
Response:
```json
{"result": 50.0}
```
A zero `total` produces a 422 validation response.
## Verification
```sh
@@ -205,4 +121,3 @@ make verify
Runs compile-all checks against all source and test files, then executes the full test suite.
Zero warnings are tolerated.
+4 -5
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@@ -8,10 +8,10 @@ from flask import make_response
from flask import request
from flask.wrappers import Response
from typosaurus_sandbox.domain.calculator import add
from typosaurus_sandbox.domain.calculator import clamp
from typosaurus_sandbox.domain.calculator import clamp_to_byte
from typosaurus_sandbox.domain.calculator import subtract
from src.calculator import add
from src.calculator import clamp
from src.calculator import clamp_to_byte
from src.calculator import subtract
app = Flask(__name__)
@@ -65,4 +65,3 @@ def clamp_to_byte_route() -> Response:
except (KeyError, TypeError, ValueError):
return make_response(jsonify({'error': 'Invalid or missing parameters'}), 400)
return make_response(jsonify({'result': clamp_to_byte(value)}), 200)
+1 -3
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@@ -1,3 +1 @@
fastapi
uvicorn[standard]
Flask>=3.0,<4.0
+50
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@@ -0,0 +1,50 @@
# retoor <retoor@molodetz.nl>
from typing import Sequence, Union
def add(left: int, right: int) -> int:
return left + right
def subtract(left: int, right: int) -> int:
return left - right
def clamp(value: int, low: int, high: int) -> int:
if low > high:
raise ValueError
if value < low:
return low
if value > high:
return high
return value
def clamp_to_byte(value: int) -> int:
return max(0, min(255, value))
def median(values: list[float]) -> float:
if not values:
raise ValueError
sorted_values = sorted(values)
n = len(sorted_values)
mid = n // 2
if n % 2 == 1:
return sorted_values[mid]
return (sorted_values[mid - 1] + sorted_values[mid]) / 2.0
def percentage(value: Union[int, float], total: Union[int, float]) -> float:
if total == 0:
raise ValueError
return (value / total) * 100
def variance(values: Sequence[float]) -> float:
if not values:
raise ValueError
mean = sum(values) / len(values)
return sum((x - mean) ** 2 for x in values) / len(values)
+1 -3
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@@ -1,7 +1,5 @@
# retoor <retoor@molodetz.nl>
from typosaurus_sandbox.app import App
from typosaurus_sandbox.core import Config, setup_logging
__all__ = ["App", "Config", "setup_logging"]
__all__ = ["App"]
+1 -16
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@@ -1,22 +1,7 @@
# retoor <retoor@molodetz.nl>
import logging
import uvicorn
from typosaurus_sandbox.app import App
from typosaurus_sandbox.core import Config, setup_logging
logger = logging.getLogger(__name__)
def main() -> None:
setup_logging()
config = Config.load()
logger.info("starting server on %s:%d", config.host, config.port)
uvicorn.run(App, host=config.host, port=config.port, log_level="info")
if __name__ == "__main__":
main()
uvicorn.run(App, host="127.0.0.1", port=8000, log_level="info")
-11
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@@ -1,26 +1,15 @@
# retoor <retoor@molodetz.nl>
import logging
from fastapi import FastAPI
from typosaurus_sandbox.presentation.api.v1.calculator import calculator_router
logger = logging.getLogger(__name__)
App = FastAPI(title="typosaurus-sandbox")
@App.on_event("startup")
def on_startup() -> None:
logger.info("application startup complete")
@App.get("/health")
def health() -> dict[str, str]:
logger.debug("health check requested")
return {"status": "ok"}
App.include_router(calculator_router)
-7
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@@ -1,7 +0,0 @@
# retoor <retoor@molodetz.nl>
from typosaurus_sandbox.core.config import Config
from typosaurus_sandbox.core.logging import setup_logging
__all__ = ["Config", "setup_logging"]
-28
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@@ -1,28 +0,0 @@
# retoor <retoor@molodetz.nl>
import json
import logging
from dataclasses import dataclass
from pathlib import Path
logger = logging.getLogger(__name__)
@dataclass
class Config:
host: str = "127.0.0.1"
port: int = 8000
@classmethod
def load(cls) -> "Config":
config_path = Path(".env.json")
if not config_path.exists():
logger.info("no .env.json found, using defaults")
return cls()
with config_path.open() as f:
data = json.load(f)
host = data.get("host", cls.host)
port = data.get("port", cls.port)
logger.info("loaded config from .env.json: host=%s port=%s", host, port)
return cls(host=host, port=port)
-23
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@@ -1,23 +0,0 @@
# retoor <retoor@molodetz.nl>
import logging
import logging.handlers
from pathlib import Path
def setup_logging() -> None:
log_dir = Path("logs")
log_dir.mkdir(exist_ok=True)
handler = logging.handlers.RotatingFileHandler(
log_dir / "typosaurus-sandbox.log",
maxBytes=10 * 1024 * 1024,
backupCount=5,
)
handler.setFormatter(
logging.Formatter("%(asctime)s [%(levelname)s] %(name)s: %(message)s")
)
logging.basicConfig(level=logging.DEBUG, handlers=[handler])
logging.getLogger(__name__).info("logging configured")
@@ -1,6 +1,7 @@
# retoor <retoor@molodetz.nl>
from typosaurus_sandbox.domain.calculator.operations import add, average, clamp, clamp_to_byte, median, percentage, subtract, variance
from typosaurus_sandbox.domain.calculator.operations import add, clamp, clamp_to_byte, median, subtract, variance
__all__ = ["add", "subtract", "clamp", "clamp_to_byte", "median", "variance"]
__all__ = ["add", "average", "clamp", "clamp_to_byte", "median", "percentage", "subtract", "variance"]
@@ -1,6 +1,6 @@
# retoor <retoor@molodetz.nl>
from typing import Sequence, Union
from typing import Sequence
def add(left: int, right: int) -> int:
@@ -25,12 +25,6 @@ def clamp_to_byte(value: int) -> int:
return max(0, min(255, value))
def average(values: list[int | float]) -> float:
if not values:
raise ValueError
return sum(values) / len(values)
def median(values: list[float]) -> float:
if not values:
raise ValueError
@@ -49,8 +43,3 @@ def variance(values: Sequence[float]) -> float:
return sum((x - mean) ** 2 for x in values) / len(values)
def percentage(value: Union[int, float], total: Union[int, float]) -> float:
if total == 0:
raise ValueError
return (value / total) * 100
@@ -1,13 +1,9 @@
# retoor <retoor@molodetz.nl>
import logging
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field
from typosaurus_sandbox.domain.calculator import add, average, clamp, clamp_to_byte, median, percentage, subtract, variance
logger = logging.getLogger(__name__)
from typosaurus_sandbox.domain.calculator import add, clamp, clamp_to_byte, subtract
calculator_router = APIRouter(prefix="/api/v1/calculator")
@@ -32,15 +28,6 @@ class ClampToByteRequest(BaseModel):
value: int = Field(ge=-2147483648, le=2147483647)
class ValuesRequest(BaseModel):
values: list[float]
class PercentageRequest(BaseModel):
value: float
total: float
class IntResult(BaseModel):
result: int
@@ -51,13 +38,11 @@ class FloatResult(BaseModel):
@calculator_router.post("/add", response_model=IntResult)
def calculate_add(body: AddRequest) -> IntResult:
logger.debug("add %d + %d", body.left, body.right)
return IntResult(result=add(body.left, body.right))
@calculator_router.post("/subtract", response_model=IntResult)
def calculate_subtract(body: SubtractRequest) -> IntResult:
logger.debug("subtract %d - %d", body.left, body.right)
return IntResult(result=subtract(body.left, body.right))
@@ -72,46 +57,4 @@ def calculate_clamp(body: ClampRequest) -> FloatResult:
@calculator_router.post("/clamp-to-byte", response_model=IntResult)
def calculate_clamp_to_byte(body: ClampToByteRequest) -> IntResult:
logger.debug("clamp-to-byte %d", body.value)
return IntResult(result=clamp_to_byte(body.value))
@calculator_router.post("/average", response_model=FloatResult)
def calculate_average(body: ValuesRequest) -> FloatResult:
logger.debug("average of %d values", len(body.values))
try:
result = average(body.values)
except ValueError:
raise HTTPException(status_code=422, detail="values list must not be empty")
return FloatResult(result=result)
@calculator_router.post("/median", response_model=FloatResult)
def calculate_median(body: ValuesRequest) -> FloatResult:
logger.debug("median of %d values", len(body.values))
try:
result = median(body.values)
except ValueError:
raise HTTPException(status_code=422, detail="values list must not be empty")
return FloatResult(result=result)
@calculator_router.post("/variance", response_model=FloatResult)
def calculate_variance(body: ValuesRequest) -> FloatResult:
logger.debug("variance of %d values", len(body.values))
try:
result = variance(body.values)
except ValueError:
raise HTTPException(status_code=422, detail="values list must not be empty")
return FloatResult(result=result)
@calculator_router.post("/percentage", response_model=FloatResult)
def calculate_percentage(body: PercentageRequest) -> FloatResult:
logger.debug("percentage %f of %f", body.value, body.total)
try:
result = percentage(body.value, body.total)
except ValueError:
raise HTTPException(status_code=422, detail="total must not be zero")
return FloatResult(result=result)
-134
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@@ -1,9 +1,6 @@
# retoor <retoor@molodetz.nl>
import unittest
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning, module="starlette")
from fastapi.testclient import TestClient
@@ -121,134 +118,3 @@ class TestCalculatorClampToByteEndpoint(unittest.TestCase):
response = client.post("/api/v1/calculator/clamp-to-byte", json={"value": "abc"})
self.assertEqual(response.status_code, 422)
class TestCalculatorAverageEndpoint(unittest.TestCase):
def test_average_positive_values(self) -> None:
response = client.post("/api/v1/calculator/average", json={"values": [1, 2, 3, 4, 5]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 3.0})
def test_average_single_value(self) -> None:
response = client.post("/api/v1/calculator/average", json={"values": [5]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 5.0})
def test_average_negative_values(self) -> None:
response = client.post("/api/v1/calculator/average", json={"values": [-10, -20, -30]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": -20.0})
def test_average_empty_returns_422(self) -> None:
response = client.post("/api/v1/calculator/average", json={"values": []})
self.assertEqual(response.status_code, 422)
def test_average_invalid_input_returns_422(self) -> None:
response = client.post("/api/v1/calculator/average", json={"values": ["a", "b"]})
self.assertEqual(response.status_code, 422)
def test_average_missing_field_returns_422(self) -> None:
response = client.post("/api/v1/calculator/average", json={})
self.assertEqual(response.status_code, 422)
class TestCalculatorMedianEndpoint(unittest.TestCase):
def test_median_odd_length(self) -> None:
response = client.post("/api/v1/calculator/median", json={"values": [1, 3, 5]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 3.0})
def test_median_even_length(self) -> None:
response = client.post("/api/v1/calculator/median", json={"values": [1, 2, 3, 4]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 2.5})
def test_median_single_element(self) -> None:
response = client.post("/api/v1/calculator/median", json={"values": [7]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 7.0})
def test_median_unsorted_input(self) -> None:
response = client.post("/api/v1/calculator/median", json={"values": [3, 1, 2]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 2.0})
def test_median_empty_returns_422(self) -> None:
response = client.post("/api/v1/calculator/median", json={"values": []})
self.assertEqual(response.status_code, 422)
def test_median_invalid_input_returns_422(self) -> None:
response = client.post("/api/v1/calculator/median", json={"values": ["a"]})
self.assertEqual(response.status_code, 422)
def test_median_missing_field_returns_422(self) -> None:
response = client.post("/api/v1/calculator/median", json={})
self.assertEqual(response.status_code, 422)
class TestCalculatorVarianceEndpoint(unittest.TestCase):
def test_variance_known_set(self) -> None:
response = client.post("/api/v1/calculator/variance", json={"values": [1, 2, 3, 4, 5]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 2.0})
def test_variance_constant_values(self) -> None:
response = client.post("/api/v1/calculator/variance", json={"values": [1.0, 1.0, 1.0]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 0.0})
def test_variance_single_element(self) -> None:
response = client.post("/api/v1/calculator/variance", json={"values": [42.0]})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 0.0})
def test_variance_empty_returns_422(self) -> None:
response = client.post("/api/v1/calculator/variance", json={"values": []})
self.assertEqual(response.status_code, 422)
def test_variance_invalid_input_returns_422(self) -> None:
response = client.post("/api/v1/calculator/variance", json={"values": ["a", "b", "c"]})
self.assertEqual(response.status_code, 422)
def test_variance_missing_field_returns_422(self) -> None:
response = client.post("/api/v1/calculator/variance", json={})
self.assertEqual(response.status_code, 422)
class TestCalculatorPercentageEndpoint(unittest.TestCase):
def test_percentage_half(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"value": 50, "total": 100})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 50.0})
def test_percentage_quarter(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"value": 25, "total": 100})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 25.0})
def test_percentage_zero_value(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"value": 0, "total": 100})
self.assertEqual(response.status_code, 200)
self.assertEqual(response.json(), {"result": 0.0})
def test_percentage_total_zero_returns_422(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"value": 50, "total": 0})
self.assertEqual(response.status_code, 422)
def test_percentage_invalid_input_returns_422(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"value": "abc", "total": 100})
self.assertEqual(response.status_code, 422)
def test_percentage_missing_value_returns_422(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"total": 100})
self.assertEqual(response.status_code, 422)
def test_percentage_missing_total_returns_422(self) -> None:
response = client.post("/api/v1/calculator/percentage", json={"value": 50})
self.assertEqual(response.status_code, 422)
+1 -66
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@@ -3,7 +3,7 @@
import math
import unittest
from typosaurus_sandbox.domain.calculator import add, average, clamp, clamp_to_byte, median, percentage, subtract, variance
from typosaurus_sandbox.domain.calculator import add, clamp, clamp_to_byte, median, subtract, variance
class TestAddFunction(unittest.TestCase):
@@ -18,28 +18,6 @@ class TestAddFunction(unittest.TestCase):
self.assertEqual(add(-3, 5), 2)
class TestAverageFunction(unittest.TestCase):
def test_empty_sequence_raises_value_error(self) -> None:
with self.assertRaises(ValueError):
average([])
def test_single_element(self) -> None:
self.assertEqual(average([5]), 5.0)
def test_positive_values(self) -> None:
self.assertEqual(average([1, 2, 3, 4, 5]), 3.0)
def test_negative_values(self) -> None:
self.assertEqual(average([-10, -20, -30]), -20.0)
def test_mixed_positive_and_negative(self) -> None:
self.assertEqual(average([-5, 0, 5]), 0.0)
def test_float_values(self) -> None:
self.assertEqual(average([1.5, 2.5, 3.0]), 7.0 / 3.0)
class TestSubtractFunction(unittest.TestCase):
def test_subtract_positive(self) -> None:
@@ -181,46 +159,3 @@ class TestVarianceFunction(unittest.TestCase):
def test_tuple_input_returns_variance(self) -> None:
self.assertEqual(variance((1, 2, 3, 4, 5)), 2.0)
class TestPercentageFunction(unittest.TestCase):
def test_half_returns_50(self) -> None:
self.assertEqual(percentage(50, 100), 50.0)
def test_quarter_returns_25(self) -> None:
self.assertEqual(percentage(25, 100), 25.0)
def test_zero_value_returns_zero(self) -> None:
self.assertEqual(percentage(0, 100), 0.0)
def test_value_exceeds_total(self) -> None:
self.assertEqual(percentage(150, 100), 150.0)
def test_negative_value(self) -> None:
self.assertEqual(percentage(-50, 100), -50.0)
def test_negative_total(self) -> None:
self.assertEqual(percentage(50, -100), -50.0)
def test_both_negative(self) -> None:
self.assertEqual(percentage(-50, -100), 50.0)
def test_float_inputs(self) -> None:
result = percentage(33.0, 100.0)
self.assertAlmostEqual(result, 33.0)
def test_total_zero_raises_value_error(self) -> None:
with self.assertRaises(ValueError):
percentage(50, 0)
def test_total_zero_float_raises_value_error(self) -> None:
with self.assertRaises(ValueError):
percentage(50.0, 0.0)
def test_integer_inputs_return_float(self) -> None:
result = percentage(1, 4)
self.assertIsInstance(result, float)
self.assertEqual(result, 25.0)