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{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
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},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2\n",
"1\n",
"3\n",
"{'queries': {'queries': [{'keywords': ['design', 'web', 'business', 'startup', 'experience'], 'num_images': 8, 'page': 2, 'id': 'text_only', 'curPage': 4}, {'keywords': ['design', 'web', 'business', 'startup', 'experience'], 'num_images': 8, 'page': 1, 'id': 'image_only', 'curPage': 2}, {'keywords': ['design', 'web', 'business', 'startup', 'experience'], 'num_images': 8, 'page': 3, 'id': 'text_only', 'curPage': 5}]}}\n"
]
}
],
"source": [
"obj={'queries': {'queries': [{'keywords': ['design', 'web', 'business', 'startup', 'experience'], 'num_images': 8, 'page': 4, 'id': 'text_only', 'curPage': 8}, {'keywords': ['design', 'web', 'business', 'startup', 'experience'], 'num_images': 8, 'page': 2, 'id': 'images_only', 'curPage': 4}, {'keywords': ['design', 'web', 'business', 'startup', 'experience'], 'num_images': 8, 'page': 5, 'id': 'text_only', 'curPage': 9}]}}\n",
"\n",
"def incrementPages(obj, initialPage):\n",
" freqs = {}\n",
" for entry in obj['queries']['queries']:\n",
" val = freqs.get(entry['id'],0)\n",
" freqs.update({entry['id']:val+1})\n",
"\n",
" for entry in obj['queries']['queries']:\n",
" val = freqs.get(entry['id'],False)\n",
" if(val):\n",
" entry['curPage']=entry['page']+val*initialPage\n",
" print(entry['page'])\n",
" else:\n",
" return {\"error\":\"Error while incrementing query pages\"}\n",
" return obj\n",
"\n",
"print(incrementPages(obj,1))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "sneakpic",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
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