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strNophix 2022-08-30 13:16:48 +02:00
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/

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import pytest
def binary_search(nums: list[int], target: int):
low, high = 0, len(nums) - 1
while low <= high:
mid = low + (high - low) // 2
if nums[mid] == target:
return mid
elif nums[mid] < target:
low = mid + 1
else:
high = mid - 1
return -1
@pytest.mark.parametrize(
"nums,target,expected",
[([*range(5)], 2, 2), ([*range(5)], 6, -1), ([*range(20, 50)], 21, 1)],
)
def test_binary_search(nums: list[int], target: int, expected: int):
assert binary_search(nums, target) == expected

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import pytest
class Solution:
def search(self, nums: list[int], target: int) -> int:
# The first item of first ascending sequence is always bigger than the first item of the second ascending sequence.
low, high = 0, len(nums) - 1
while low <= high:
mid = low + (high - low) // 2
if nums[mid] == target:
return mid
# If the current item is bigger than the first item of the first ascending sequence we know that nums[low:mid] is sorted.
# Otherwise we know that the current mid is on the edge of the second ascending sequence.
if nums[mid] >= nums[low]:
if nums[low] <= target <= nums[mid]:
high = mid - 1
else:
low = mid + 1
else:
if nums[mid] <= target <= nums[high]:
low = mid + 1
else:
high = mid - 1
return -1
@pytest.fixture
def solution():
return Solution()
def test_search(solution: Solution):
assert solution.search([4, 5, 6, 7, 0, 1, 2], 0) == 4

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import typing
import pytest
FindFn = typing.Callable[[int], bool]
class Solution:
def searchRange(self, nums: list[int], target: int) -> list[int]:
start = self.binary_search(nums, target, lambda v: v >= target)
end = self.binary_search(nums, target, lambda v: v > target)
return [start, end]
def binary_search(self, nums: list[int], target: int, fn: FindFn) -> int:
res = -1
low, high = 0, len(nums) - 1
while low <= high:
mid = low + (high - low) // 2
if nums[mid] == target:
res = mid
if fn(nums[mid]):
high = mid - 1
else:
low = mid + 1
return res
@pytest.fixture
def solution():
return Solution()
@pytest.mark.parametrize(
"nums, target, expected",
[
([5, 7, 7, 8, 8, 10], 8, [3, 4]),
([5, 7, 7, 8, 8, 10], 6, [-1, -1]),
([], 0, [-1, -1]),
([1], 1, [0, 0]),
([2, 2], 2, [0, 1]),
],
)
def test_search_range(
solution: Solution, nums: list[int], target: int, expected: list[int]
):
assert solution.searchRange(nums, target) == expected

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[pytest]
python_files = *.py

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requirements.txt Normal file
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pytest
black