PERF-#7435: Use shallow copies in native pandas mode

[sfc-gh-joshi]

What do these changes do?

• first commit message and PR title follow format outlined here

  NOTE: If you edit the PR title to match this format, you need to add another commit (even if it's empty) or amend your last commit for the CI job that checks the PR title to pick up the new PR title.

• passes flake8 modin/ asv_bench/benchmarks scripts/doc_checker.py
• passes black --check modin/ asv_bench/benchmarks scripts/doc_checker.py
• signed commit with git commit -s
• Resolves PERF: Look into reducing copies for native execution #7435
• tests added and passing
• module layout described at docs/development/architecture.rst is up-to-date

Uses shallow copies by default in native pandas execution mode, significantly improving performance. This behavior can be changed by setting NativePandasDeepCopy.enable().

Summary of mutation behavior, with and without pandas copy-on-write:

Unscientific sanity check benchmark:

import modin.pandas as pd
import numpy as np
from modin.config import Backend
Backend.put("Pandas")

from time import perf_counter

def bm(f):
    start = perf_counter()
    f() 
    print(perf_counter() - start)

df = pd.DataFrame(np.random.randint(0,100,size=(2**22,2**8)))
bm(lambda: repr(df.sort_values(0)))

Native pandas w/ CoW: 2.41s
Native pandas w/o CoW: 4.54s
Modin w/ NativePandasDeepCopy set (equivalent to current main): 7.03s
Modin w/ NativePandasDeepCopy disabled (this PR): 2.30s