(Too big for a single gist, so see first reply for the rest)
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<body> | |
<h1>Claire's Number Line</h1> | |
<table> | |
<thead> | |
<tr> | |
<th style="text-align:left"> ones<br/>tens</th> | |
<th style="background-color:hsla(284, 84%, 59%, 1)">0</th> | |
<th style="background-color:hsla(347, 87%, 78%, 1)">1</th> | |
<th style="background-color:hsla(46, 100%, 79%, 1)">2</th> | |
<th style="background-color:hsla(166, 70%, 84%, 1)">3</th> |
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from fastcore.all import * | |
from typing import _SpecialForm,_GenericAlias,Optional,Union | |
@patch | |
def __instancecheck__(self:_SpecialForm, typs): return isinstance(self, typs) | |
@patch(cls_method=True) | |
def __subclasscheck__(self:_SpecialForm, cls): return type.__subclasscheck__(self, cls) | |
@patch | |
def __subclasscheck__(self:_GenericAlias, cls): | |
return issubclass(cls.__origin__ if isinstance(cls, _GenericAlias) else cls, self.__origin__) |
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from fastcore.utils import * | |
host = 8888,'localhost' | |
sock = start_server(*host) | |
print(f'Serving on {host}...') | |
while True: | |
conn,addr = sock.accept() | |
with conn: | |
data = conn.recv(1024) | |
print(data.decode()) |
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# I added all the imports by hand | |
import torch | |
from torchvision.datasets import ImageFolder | |
from torchvision import transforms,models | |
from torch import nn,optim | |
# For all functions including this one, I wrote the name and docstring, and sometimes also the param names | |
def finetune(folder, model): | |
"""fine tune pytorch model using images from folder and report results on validation set""" | |
if not os.path.exists(folder): raise ValueError(f"{folder} does not exist") |
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