def verify_file_exists(dbfn): # DONT KNOW THAT WE NEED TO DO THIS!!
try:
file = os.readlink(dbfn)
if file == '/dev/null' or \
re.match(r'pipe:\[\d+\]',file) or \
re.match(r'socket:\[\d+\]',file) or \ # check if file is open
re.match(r'.csv',file) or \ # check if file is extension FIX THIS -- CSV OR FEATHER?
dbfn in os.dir(inpath): # check if file is in directory -- FIX THIS // INVERT THESE STEPS
file = None
except OSError as err:
if err.errno == 2:
file = None
else:
raise(err) # SHOULD IGNORE RATHER THAN ASSERT ERROR
yield (filename)
for width in primes:
if N % width == 0:
for height in primes:
if width * height == N:
return (width, height) # N % height == 0
return (0, 0)
print(produit(21))
from os import getcwd as dir, chdir as cd
cd('U:\\')
cd('C:\\Users\\Benjamin LOISON\\Desktop\\BensFolder\\School\\CPGE\\Fenelon\\MPSI\\IPT\\19\\02\\20'
)
print(dir())
# print(type(octet))
# valeur = octet[0]
source = open('message.bin', 'rb')
octets = [source.read(1)]
while octets[len(octets) - 1] != bytes(b''):
octets += [source.read(1)]
source.close()
octets = octets[:len(octets) - 1]
print(octets)
taille = len(octets)
binaries = []
for octet in octets:
# -*- coding: utf-8 -*-
"""s3_bucket_upload.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1W15rcSlBs5AuqGXYHAegwadr-s209jmk
"""
import boto3
import os
access_key = "AKIAJL2IQX7Z5KVSM5ZQ"
secret_access_key = "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"
client = boto3.client('s3',
access_key=access_key,
secret_access_key=secret_access_key)
for file in os.dir():
if '.py' in file:
bucket_name = ""
path = "python/" + str(file)
client.upload_file(file, bucket_name, path)
plt.title('5-th order approximation of image')
plt.show()
#-------------------------------
#----------------------------------------------------------------------------
# Useful functions for converting images <--> vectors
#----------------------------------------------------------------------------
row = 64
col = 64
image_vector = lambda(Bitmap) double(reshape(Bitmap,row*col,1))
vector_image = lambda(Vec) reshape( uint8( min(max(Vec,0),255) ), row, col)
vector_render = lambda(Vec) plt.imshow(vector_image(Vec), cmap='gray')
filenames = os.dir('*.bmp')
n = len(filenames)
for i in range(n):
Image_File = filenames[i]
Face_Matrix = img.imread(Image_File)
F[i,:] = image_vector(Face_Matrix) # the i-th row of F is the i-th image
end
#-------------------------------
m = np.mean(F).T # m is a vector containing the means of columns of F
vector_render(m)
plt.show()
image_vector = lambda(Bitmap) double(reshape(Bitmap,row*col,1))
vector_image = lambda(Vec) reshape( min(max(Vec,0),255), row, col)
# Operational Sistem
import os
os.system('Comando') # Executa comandos através do python
os.dir() # Exibe o diretório atual
os.name # Exibe o tipo de sistemas (nt = windows)
os.mkdir() # Cria diretórios
import os print(os.dir())
import os
print("hello world!---maomin")
os.dir("")
print("maomin")
def __python_mods_in(path):
mods = set()
for item in os.dir(path):
is_python.match(item)
mods.add(os.splitext(item)[0])
return mods
import os
import time
os.dir(current)
print('test')
#创建文件夹
#os.mkdir('house')#当前路径，创建文件夹
os.mkdir('../girt')#相对路径或绝对路径，+ 文件夹
#pwd
p=os.getcwd()#得到当前路径保存下来
print('当前路径是：%s'%p)
#修改默认路径 change
os.chdir('./house')
print('修改之后的默认路径是：%s'%os.getcwd())
f=open('1.txt','w')
f.close()
os.dir('xiaohua')#创建到了新的路径下
os.rmdir('xiaohua')#删除文件夹
os.chdir('../')
#当文件夹空的时候可以用os.chdir删除文件夹
#当文件空的时候可以用：
#当前路径../
#empty 空的
