Lukazlim: Replace dependency requests with httpx (#12744)

* Replace dependency `requests` with `httpx` Fixes #12742 Signed-off-by: Lim, Lukaz Wei Hwang <lukaz.wei.hwang.lim@intel.com> * updating DIRECTORY.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Signed-off-by: Lim, Lukaz Wei Hwang <lukaz.wei.hwang.lim@intel.com> Co-authored-by: Lim, Lukaz Wei Hwang <lukaz.wei.hwang.lim@intel.com> Co-authored-by: cclauss <cclauss@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: 3 people

DIRECTORY.md

@@ -899,6 +899,7 @@
  * [N Body Simulation](physics/n_body_simulation.py)
  * [Newtons Law Of Gravitation](physics/newtons_law_of_gravitation.py)
  * [Newtons Second Law Of Motion](physics/newtons_second_law_of_motion.py)
+ * [Orbital Transfer Work](physics/orbital_transfer_work.py)
  * [Period Of Pendulum](physics/period_of_pendulum.py)
  * [Photoelectric Effect](physics/photoelectric_effect.py)
  * [Potential Energy](physics/potential_energy.py)

machine_learning/linear_regression.py

@@ -8,16 +8,24 @@
 Rating). We try to best fit a line through dataset and estimate the parameters.
 """
 
+# /// script
+# requires-python = ">=3.13"
+# dependencies = [
+# "httpx",
+# "numpy",
+# ]
+# ///
+
+import httpx
 import numpy as np
-import requests
 
 
 def collect_dataset():
  """Collect dataset of CSGO
  The dataset contains ADR vs Rating of a Player
  :return : dataset obtained from the link, as matrix
  """
- response = requests.get(
+ response = httpx.get(
  "https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/"
  "master/Week1/ADRvsRating.csv",
  timeout=10,

physics/speeds_of_gas_molecules.py

@@ -59,9 +59,9 @@ def avg_speed_of_molecule(temperature: float, molar_mass: float) -> float:
  Examples:
 
  >>> avg_speed_of_molecule(273, 0.028) # nitrogen at 273 K
- 454.3488755020387
+ 454.3488755062257
  >>> avg_speed_of_molecule(300, 0.032) # oxygen at 300 K
- 445.52572733919885
+ 445.5257273433045
  >>> avg_speed_of_molecule(-273, 0.028) # invalid temperature
  Traceback (most recent call last):
  ...
@@ -87,9 +87,9 @@ def mps_speed_of_molecule(temperature: float, molar_mass: float) -> float:
  Examples:
 
  >>> mps_speed_of_molecule(273, 0.028) # nitrogen at 273 K
- 402.65620701908966
+ 402.65620702280023
  >>> mps_speed_of_molecule(300, 0.032) # oxygen at 300 K
- 394.836895549922
+ 394.8368955535605
  >>> mps_speed_of_molecule(-273, 0.028) # invalid temperature
  Traceback (most recent call last):
  ...

pyproject.toml

@@ -11,6 +11,7 @@ classifiers = [
 dependencies = [
  "beautifulsoup4>=4.12.3",
  "fake-useragent>=1.5.1",
+ "httpx>=0.28.1",
  "imageio>=2.36.1",
  "keras>=3.7",
  "lxml>=5.3",
@@ -19,7 +20,6 @@ dependencies = [
  "opencv-python>=4.10.0.84",
  "pandas>=2.2.3",
  "pillow>=11",
- "requests>=2.32.3",
  "rich>=13.9.4",
  "scikit-learn>=1.5.2",
  "sphinx-pyproject>=0.3",
@@ -42,8 +42,8 @@ docs = [
  "sphinx-pyproject>=0.3",
 ]
 euler-validate = [
+ "httpx>=0.28.1",
  "numpy>=2.1.3",
- "requests>=2.32.3",
 ]
 
 [tool.ruff]

requirements.txt

@@ -1,5 +1,6 @@
 beautifulsoup4
 fake-useragent
+httpx
 imageio
 keras
 lxml
@@ -8,7 +9,6 @@ numpy
 opencv-python
 pandas
 pillow
-requests
 rich
 scikit-learn
 sphinx-pyproject

scripts/validate_solutions.py

@@ -3,8 +3,8 @@
 # /// script
 # requires-python = ">=3.13"
 # dependencies = [
+# "httpx",
 # "pytest",
-# "requests",
 # ]
 # ///
 
@@ -15,8 +15,8 @@
 import pathlib
 from types import ModuleType
 
+import httpx
 import pytest
-import requests
 
 PROJECT_EULER_DIR_PATH = pathlib.Path.cwd().joinpath("project_euler")
 PROJECT_EULER_ANSWERS_PATH = pathlib.Path.cwd().joinpath(
@@ -66,7 +66,7 @@ def added_solution_file_path() -> list[pathlib.Path]:
  "Accept": "application/vnd.github.v3+json",
  "Authorization": "token " + os.environ["GITHUB_TOKEN"],
  }
- files = requests.get(get_files_url(), headers=headers, timeout=10).json()
+ files = httpx.get(get_files_url(), headers=headers, timeout=10).json()
  for file in files:
  filepath = pathlib.Path.cwd().joinpath(file["filename"])
  if (

uv.lock

@@ -2,22 +2,29 @@
 Get CO2 emission data from the UK CarbonIntensity API
 """
 
+# /// script
+# requires-python = ">=3.13"
+# dependencies = [
+# "httpx",
+# ]
+# ///
+
 from datetime import date
 
-import requests
+import httpx
 
 BASE_URL = "https://api.carbonintensity.org.uk/intensity"
 
 
 # Emission in the last half hour
 def fetch_last_half_hour() -> str:
- last_half_hour = requests.get(BASE_URL, timeout=10).json()["data"][0]
+ last_half_hour = httpx.get(BASE_URL, timeout=10).json()["data"][0]
  return last_half_hour["intensity"]["actual"]
 
 
 # Emissions in a specific date range
 def fetch_from_to(start, end) -> list:
- return requests.get(f"{BASE_URL}/{start}/{end}", timeout=10).json()["data"]
+ return httpx.get(f"{BASE_URL}/{start}/{end}", timeout=10).json()["data"]
 
 
 if __name__ == "__main__":

web_programming/co2_emission.py

@@ -4,9 +4,17 @@
 more convenient to use in Python web projects (e.g. Django or Flask-based)
 """
 
+# /// script
+# requires-python = ">=3.13"
+# dependencies = [
+# "httpx",
+# "lxml",
+# ]
+# ///
+
 from typing import NamedTuple
 
-import requests
+import httpx
 from lxml import html
 
 
@@ -19,7 +27,7 @@ class CovidData(NamedTuple):
 def covid_stats(url: str = "https://www.worldometers.info/coronavirus/") -> CovidData:
  xpath_str = '//div[@class = "maincounter-number"]/span/text()'
  return CovidData(
- *html.fromstring(requests.get(url, timeout=10).content).xpath(xpath_str)
+ *html.fromstring(httpx.get(url, timeout=10).content).xpath(xpath_str)
  )
 
 

web_programming/covid_stats_via_xpath.py

@@ -1,14 +1,28 @@
+# /// script
+# requires-python = ">=3.13"
+# dependencies = [
+# "beautifulsoup4",
+# "fake-useragent",
+# "httpx",
+# ]
+# ///
+
 import sys
 import webbrowser
 
-import requests
+import httpx
 from bs4 import BeautifulSoup
 from fake_useragent import UserAgent
 
 if __name__ == "__main__":
  print("Googling.....")
  url = "https://www.google.com/search?q=" + " ".join(sys.argv[1:])
- res = requests.get(url, headers={"UserAgent": UserAgent().random}, timeout=10)
+ res = httpx.get(
+ url,
+ headers={"UserAgent": UserAgent().random},
+ timeout=10,
+ follow_redirects=True,
+ )
  # res.raise_for_status()
  with open("project1a.html", "wb") as out_file: # only for knowing the class
  for data in res.iter_content(10000):