173 lines
5.3 KiB
Python
173 lines
5.3 KiB
Python
import os
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from pathlib import Path
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from subprocess import run
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from pytablewriter import MarkdownTableWriter
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from pytablewriter.style import Style
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def read_md():
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"""
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Read README.md
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"""
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with open("../README.md", "r") as f:
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md = [line.strip() for line in f.readlines() if line.strip() != ""][1:]
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return md
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def write_md(results):
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"""
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Write to README.md
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"""
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initial_message = (
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f"Having a bit of fun trying to solve the problems from "
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f"https://projecteuler.net/archives using different programming "
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f"languages for learning purposes.\n\n"
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)
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with open("../README.md", "w") as f:
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f.write(initial_message)
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results.stream = f
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results.write_table()
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def _file_stem(f):
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return f[-5:]
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def get_problems(path=None, ext=None):
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wd = os.getcwd()
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os.chdir(Path(path))
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scripts = sorted(
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[script.as_posix() for script in Path(".").rglob(f"*[0-9].{ext}")],
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key=_file_stem,
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)
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os.chdir(wd)
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return scripts
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def timing_Python(path=None, exec_only=1):
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wd = os.getcwd()
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scripts = get_problems(path=path, ext="py")
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os.chdir(Path(path))
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python_timings, python_results = [], []
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for script in scripts[:exec_only]:
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_res = run(
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["python3", f"{script}"], capture_output=True, text=True
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).stdout.split("\n")
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python_timings.append(_res[0])
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python_results.append(_res[2])
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os.chdir(wd)
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return python_timings, python_results
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def timing_Julia(path=None, exec_only=1):
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wd = os.getcwd()
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scripts = get_problems(path="Julia", ext="jl")
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os.chdir(Path(path))
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julia_problem_numbers, julia_timings, julia_results = [], [], []
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for script in scripts[:exec_only]:
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_res = run(["julia", f"{script}"], capture_output=True, text=True).stdout.split(
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"\n"
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)
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julia_problem_numbers.append(_res[0])
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julia_timings.append(_res[1].split("(")[0])
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julia_results.append(_res[3])
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os.chdir(wd)
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return julia_problem_numbers, julia_timings, julia_results
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def execute(combine_columns=True, nproblems=-1):
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"""
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Execute scripts and return md formatted table
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"""
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python_timings, python_results = timing_Python(path="Python", exec_only=nproblems)
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julia_n_problem, julia_timings, julia_results = timing_Julia(
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path="Julia", exec_only=nproblems
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)
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assert len(python_timings) == len(julia_timings)
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not_equal = []
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for nproblem, (python_res, julia_res) in enumerate(
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zip(python_results, julia_results), start=1
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):
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if not int(python_res[22:]) == int(julia_res[23:]):
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not_equal.append([nproblem, int(python_res[22:]), int(julia_res[23:])])
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if combine_columns:
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headers = [
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"Problem #",
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"Result",
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"T_exec (Python)",
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"T_exec (Julia)",
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]
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value_matrix = [
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[f"{int(t_python[25:28]):03d}", int(r_python[22:]), t_python[29:], t_julia]
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for t_python, r_python, t_julia in zip(
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python_timings, python_results, julia_timings
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)
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]
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discrepancies = [
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f"\nDiscrepancies in problem {npb}. "
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f"Python result is {py_r} and in Julia is {jl_r}."
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for npb, py_r, jl_r in not_equal
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]
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writer_comb = MarkdownTableWriter(
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table_name="\n".join(discrepancies),
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headers=headers,
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value_matrix=value_matrix,
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column_styles=[
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Style(align="center"),
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Style(align="right", thousand_separator="_"),
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Style(align="right"),
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Style(align="right"),
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], # specify styles for each column
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margin=1, # add a whitespace for both sides of each cell
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)
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writer_comb.set_indent_level(3)
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return writer_comb
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else:
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languages = ["Python", "Julia"]
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for lang in languages:
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if lang == "Python":
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headers = ["Problem #", "Result", "T_exec (Python)"]
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value_matrix = [
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[f"{int(t_python[25:28]):03d}", int(r_python[22:]), t_python[29:]]
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for t_python, r_python in zip(python_timings, python_results)
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]
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elif lang == "Julia":
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headers = ["Problem #", "Result", "T_exec (Julia)"]
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value_matrix = [
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[f"{int(p_julia[-5:-1]):03d}", int(r_julia[23:]), t_julia]
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for p_julia, r_julia, t_julia in zip(
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julia_n_problem, julia_results, julia_timings
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)
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]
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writer = MarkdownTableWriter(
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table_name=f"Results for {lang}",
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headers=headers,
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value_matrix=value_matrix,
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column_styles=[
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Style(align="center"),
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Style(align="right", thousand_separator="_"),
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Style(align="right"),
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], # specify styles for each column
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margin=1, # add a whitespace for both sides of each cell
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)
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return writer
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if __name__ == "__main__":
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# md = read_md()
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# print(md)
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res = execute(combine_columns=True, nproblems=-1)
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# print(res)
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write_md(res)
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