mowareのブログ 2nd

# Miniforgeのインストール
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-MacOSX-arm64.sh

# yamlファイルのダウンロード(ネット公開されていたものを拝借しました)
wget -P ~/Downloads https://raw.githubusercontent.com/mwidjaja1/DSOnMacARM/main/environment.yml

# 仮想環境 ai_studyの作成
conda env create --file=environment.yml --name ai_study

# tensorflow-macosのインストール
pip install --upgrade --force --no-dependencies https://github.com/apple/tensorflow_macos/releases/download/v0.1alpha3/tensorflow_addons_macos-0.1a3-cp38-cp38-macosx_11_0_arm64.whl https://github.com/apple/tensorflow_macos/releases/download/v0.1alpha3/tensorflow_macos-0.1a3-cp38-cp38-macosx_11_0_arm64.whl

# 仮想環境を有効化する
conda activate ai_study

# 仮想環境を無効にする
conda deactivate

# 仮想環境 ai_studyの削除
conda remove -n ai_study --all

import time,datetime

def generator(): # ジェネレータ
    a, b = 0, 1
    while True:
        yield b
        a, b = b, a + b

def fib_generator(n): # ジェネレータを用いた関数
    fib = generator()
    fib_list = [next(fib) for i in range(n-1)]
    return fib_list[-1]

def fib_iterate(n): # 反復法
    a, b = 0, 1
    if n == 1:
        return a
    elif n == 2:
        return b
    else:
        for i in range(n-2):
            a, b = b, a + b
        return b

def fib_recursion(n, memo={}): # メモ化再帰法
    if n == 1:
        return 0
    elif n == 2:
        return 1
    elif n in memo:
        return memo[n]
    else:
        memo[n] = fib_recursion(n-1, memo) + fib_recursion(n-2, memo)
        return memo[n]

if __name__ == '__main__':
    list_time = list()

    for function in [fib_generator,fib_iterate,fib_recursion]:
        start = time.time()

        print(function)
        print(function(41))

        # 処理時間算出
        process_time = time.time() - start
        td = datetime.timedelta(seconds = process_time)
        list_time.append(td.microseconds)

    print(list_time)
--------------------------------------------------

出力
--------------------------------------------------
<function fib_generator at 0x1074070d0>
102334155
<function fib_iterate at 0x107407160>
102334155
<function fib_recursion at 0x107407040>
102334155
[52, 10, 33]

import time,datetime

def fib_A(n): # 反復法
    a, b = 0, 1
    if n == 1:
        return a
    elif n == 2:
        return b
    else:
        for i in range(n-2):
            a, b = b, a + b
        return b

def fib_B(n): # 再帰法
    if n == 1:
        return 0
    elif n == 2:
        return 1
    else:
        return fib_B(n-1) + fib_B(n-2)

def fib_C(n, memo={}): # メモ化再帰法
    if n == 1:
        return 0
    elif n == 2:
        return 1
    elif n in memo:
        return memo[n]
    else:
        memo[n] = fib_C(n-1, memo) + fib_C(n-2, memo)
        return memo[n]

if __name__ == '__main__':

    list_time = list()
    for function in [fib_A,fib_B,fib_C]:
        start = time.time()
        print(function)
        print(function(40))

        # 処理時間算出
        process_time = time.time() - start
        td = datetime.timedelta(seconds = process_time)

        list_time.append(td.microseconds)

    print(list_time)
--------------------------------------------------

出力
--------------------------------------------------
<function fib_A at 0x10743cf70>
63245986
<function fib_B at 0x107637040>
63245986
<function fib_C at 0x1076370d0>
63245986
[42, 549224, 35]

# 再利用できるイテレータ

from time import sleep

class CounterState:
    def __init__(self, step):
        self.step = step

    def __next__(self):
        # カウンタ値を1つずつ0まで減算する
        if self.step <= 0:
            raise StopIteration
        self.step -= 1
        return self.step

class CountDown:
    def __init__(self, steps):
        self.steps = steps

    def __iter__(self):
        return CounterState(self.steps)

if __name__ == "__main__":
    for element in CountDown(10):
        symbols = '*' * element
        print(symbols)
        sleep(0.2)
--------------------------------------------------

出力
--------------------------------------------------
*********
********
*******
******
*****
****
***
**
*

# M1 MaxとM1 Proは枠線の種類を破線にする。
# linestyleのリストは使用不可のためfor文とif文で設定。

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9]
y = [4868, 12765, 18260, 36520, 60396, 73040, 73986, 120247, 205239]
label_x = ["Mac mini 2018","GeForce GTX 750Ti","Apple M1","Apple M1 Pro(est.)","GeForce GTX 1660Ti","Apple M1 Max(est.)","Tesla P100","GeForce RTX 3060Ti","GeForce RTX 3090"]

image ='test.png'
fig = plt.figure()
color_list = ['#2e8b57','#8a2be2','#2e8b57','#7fffd4','#8a2be2','#7fffd4','#8a2be2','#8a2be2','#8a2be2']
edgecolor_list = ['#2e8b57','#8a2be2','#2e8b57','#2f4f4f','#8a2be2','#2f4f4f','#8a2be2','#8a2be2','#8a2be2']

for i,j,k,l in zip(x,y,color_list,edgecolor_list):
    if i==4 or i==6:
        plt.barh(i, j,color=k,align="center",edgecolor=l,linestyle='dashed')
    else:
        plt.barh(i, j,color=k,align="center",edgecolor=l,linestyle='solid')

plt.yticks(x, label_x)
plt.title('Geekbench OpenCL', fontsize=18)
plt.tick_params(labelsize=14)
plt.tight_layout()
plt.show()

fig.savefig(image)