dependabot for
huyfififi/dashboard-backendRyeRye is a comprehensive project and package management solution for Python. Rye picks and ships the right tools so you can get started in minutes:
astral-sh/ruff as a formatter.astral-sh/uv with unearth and
pip-tools as a package managerResolving dependencies and installing packages never be bottlenecks, and it's more important to make it easy to set up CI pipelines.
From that standpoint, dependabot seems to lack its
native support, whereas poetry which has the most stars on
GitHub is natively supported and Ddependabot can create
pull requests automatically.
About GitHub Actions, rye generates
requirements.lock which can be used as a normal
requirements.txt in pip, so it was not
difficult to have GitHub Actions workflows.
Its performance is quite impressive, but at the moment I'm writing
this entry, poetry is the go-to option for me. It has the
largest community, and when having issues, I can easily find solutions
on the internet.
dependabotConfiguration options for the dependabot.yml file
This page guides me on how to configure dependabot of
GitHub. Only issue I faced is
Tip: For package managers such as pipenv and poetry, you need to use the pip YAML value. For example, if you use poetry to manage your Python dependencies and want Dependabot to monitor your dependency manifest file for new versions, use package-ecosystem: “pip” in your dependabot.yml file.
So, I need to set package-ecosystem: "pip" instead of
"poetry".
Not sure my configuration will work correctly. The format check has passed, but I will keep seeing the repository and its behavior.
version: 2
updates:
- package-ecosystem: "pip"
directory: "/"
schedule:
interval: "weekly"
reviewers:
- "huyfififi"
versioning-strategy: "increase"I implemented the greedy approach yesterday, and now I'm trying dynamic programming.
I don't see much differences between the greedy approach and the dynamic programming approach though.
The meaning of dpi in this problem and the way I can iterate
m for each position should be remembered.
import math
def possible(n: int, m: int, k: int, a: list[str]) -> bool:
# dpi => total swim at position i
res = [math.inf] * (n + 2)
res[0] = 0
def _try_jump(ai: int, m: int, res: list[int], a: list[str]) -> None:
for i in range(1, m + 1):
if ai - i + 1 < 0:
break
if ai - i + 1 == 0 or a[ai - i] == "L": # left bank or log
res[ai + 1] = min(res[ai + 1], res[ai - i + 1])
res[ai + 1] = min(res[ai + 1], res[ai] + 1) # no jump
for ai in range(n + 1):
if ai < n and a[ai] == "C":
continue
else: # ai == n or a[ai] in ("W", "L")
_try_jump(ai, m, res, a)
return res[n + 1] <= k
for _ in range(int(input())):
n, m, k = map(int, input().split())
a = list(input())
if possible(n, m, k, a):
print("YES")
else:
print("NO")Ketone 20 mg/dl
Protein shake 5g Salmon 5g Cheese 10g Bacon Egg 10g
Total carbohydrate 30g
6k run
MUST:
TODO: