con = cx_Oracle.connect(‘username’, ‘password’, ‘dsn’)
blob_sql = "select column_name from table where clause"
cursor = con.cursor()
cursor.execute(blob_sql)
result = cursor.fetchall()
file = open('file_name', "wb")
file.write(result[0][0].read()) #可以print查看result的内容,根据实际情况read
file.close()
百度知道张三讲法
TA获得超过3912个赞
关注
成为第46位粉丝
#IT教育# #IT# #程序员# #人工智能#
最近学习pytorch,看到下面的Python高难度代码例子和Python最复杂代码例子:
from google.colab import output as colab_output
from base64 import b64decode
from io import BytesIO
from pydub import AudioSegment
RECORD = """
const sleep = time =>new Promise(resolve =>setTimeout(resolve, time))
const b2text = blob =>new Promise(resolve =>{
const reader = new FileReader()
reader.onloadend = e =>resolve(e.srcElement.result)
reader.readAsDataURL(blob)
})
var record = time =>new Promise(async resolve =>{
stream = await navigator.mediaDevices.getUserMedia({ audio: true })
recorder = new MediaRecorder(stream)
chunks = []
recorder.ondataavailable = e =>chunks.push(e.data)
recorder.start()
await sleep(time)
recorder.onstop = async ()=>{
blob = new Blob(chunks)
text = await b2text(blob)
resolve(text)
}
recorder.stop()
})
"""
def record(seconds=1):
display(ipd.Javascript(RECORD))
print(f"Recording started for {seconds} seconds.")
s = colab_output.eval_js("record(%d)" % (seconds * 1000))
print("Recording ended.")
b = b64decode(s.split(",")[1])
fileformat = "wav"
filename = f"_audio.{fileformat}"
AudioSegment.from_file(BytesIO(b)).export(filename, format=fileformat)
return torchaudio.load(filename)
waveform, sample_rate = record()
print(f"Predicted: {predict(waveform)}.")
ipd.Audio(waveform.numpy(), rate=sample_rate)
js 的Promise函数对象编程,字符串javascript函数对象,IPython解释js对象,解释结果和python代码结合,IPython Shell显示非字符串数据,python音频使用IPython简单调用。
复杂Python模块下的多知识点结合代码,是Python高难度代码的体现。
Js的Promise理解为动态函数,比C++的类成员函数和全局函数这类静态形式的函数处理灵活,不过初学者理解起来麻烦。代码里sleep和b2text都代表一些处理函数,也就是几行代码,而不是数据。通常来讲,变量一般代表数据,但是这里代表了指令。
这有什么难的吗?你把你的二进制数据可以转成文本串插入,就跟普通的插入一样啊。
import MySQLdb, cPickle
# Connect to a DB, e.g., the test DB on your localhost, and get a cursor
connection = MySQLdb.connect(db="test")
cursor = connection.cursor( )
# Make a new table for experimentation
cursor.execute("CREATE TABLE justatest (name TEXT, ablob BLOB)")
try:
# Prepare some BLOBs to insert in the table
names = 'aramis', 'athos', 'porthos'
data = { }
for name in names:
datum = list(name)
datum.sort( )
data[name] = cPickle.dumps(datum, 2)
# Perform the insertions
sql = "INSERT INTO justatest VALUES(%s, %s)"
for name in names:
cursor.execute(sql, (name, MySQLdb.escape_string(data[name])) )
# Recover the data so you can check back
sql = "SELECT name, ablob FROM justatest ORDER BY name"
cursor.execute(sql)
for name, blob in cursor.fetchall( ):
print name, cPickle.loads(blob), cPickle.loads(data[name])
finally:
# Done. Remove the table and close the connection.
cursor.execute("DROP TABLE justatest")
connection.close( )