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import json | |
class Network(nn.Module): | |
def __init__(self, image_width, image_height): | |
super().__init__() | |
self.image_width = image_width | |
self.image_height = image_height | |
self.conv1 = nn.Conv2d(3, 32, 3) | |
self.conv2 = nn.Conv2d(32, 16, 3) |
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import json | |
def evaluate_models(models_to_evaluate): | |
data_dir = polit_path | |
image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x), | |
data_transforms[x]) | |
for x in ['train', 'val']} | |
dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=16, | |
shuffle=True, num_workers=4) | |
for x in ['train', 'val']} |
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{ | |
"ADS": { | |
"transformOptions": { | |
"transformers": [ | |
{ | |
"transformerType": "ParserTransformer", | |
"input": { | |
"typeName": "FileParserTransformerInput", | |
"order": 0, | |
"fileParsers": [ |
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import React, { Component } from 'react'; | |
import { connect } from 'react-redux'; | |
import { Button } from 'reactstrap'; | |
import styled from 'styled-components'; | |
import cloneDeep from 'lodash.clonedeep' | |
import { withBus } from 'react-bus'; | |
import { extractDeepValue } from '../../utils'; | |
import { | |
FETCH_COLLECTION | |
} from '../../actions'; |
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function fetchFiles(path) { | |
return new Promise(function(resolve, reject) { | |
// Fetch started. Listing all files from the user specific directory. | |
ftp.ls(path, function(err, res) { | |
if(err || res.length === 0) return reject(); | |
// Close the ftp connection | |
ftp.destroy(); | |
// Iterating files list | |
async.mapSeries(res, function(file, callback) { | |
let buffer = false; |
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from djongo import models | |
from django import forms | |
userStatusEnum = ( | |
('pending', 'pending'), | |
('active', 'active'), | |
('removed', 'removed'), | |
) | |
userTypeEnum = ( | |
('buyer', 'buyer'), |