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Reorganize repo. Archive old projects, organized by issue where possi…
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…ble. Delete obselete scripts.
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@gschare
gschare committed Aug 20, 2020
1 parent b7557c3 commit 48557a3
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Showing 38 changed files with 300 additions and 393,819 deletions.
17 changes: 0 additions & 17 deletions check_update.py
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0 Continuity-Margins.ipynb → jupyter notebooks/Continuity-Margins.ipynb
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0 Jan30.ipynb → jupyter notebooks/Jan30.ipynb
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0 digital_manuscript.ipynb → jupyter notebooks/digital_manuscript.ipynb
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0 fieldnotes_testing.ipynb → jupyter notebooks/fieldnotes_testing.ipynb
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300 changes: 300 additions & 0 deletions jupyter notebooks/search_testing.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from digital_manuscript import BnF"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"manuscript = BnF()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'hello world'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"manuscript.testfunc()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<recipe.Recipe at 0x2cb307a5fc8>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"manuscript.entries['001r_1']"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"roses = manuscript.search(plant=['rose'])"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['116r_4',\n",
" '155r_1',\n",
" '155v_1',\n",
" '159v_2',\n",
" '169r_1',\n",
" '010r_1',\n",
" '010r_3',\n",
" '120v_6',\n",
" '129r_4',\n",
" '154v_4']"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roses"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[['rose'],\n",
" ['strawberry plant', 'rose'],\n",
" ['rose'],\n",
" ['carnation', 'marigold', 'rose'],\n",
" ['wheat',\n",
" 'strawberry',\n",
" 'carnation',\n",
" 'capilli veneri',\n",
" 'moss',\n",
" 'rose',\n",
" 'vine'],\n",
" ['spike lavender', 'rose'],\n",
" ['rose'],\n",
" ['ranunculu',\n",
" 'broom',\n",
" 'carnation',\n",
" 'amaranth',\n",
" 'rose',\n",
" 'yellow meadow flower',\n",
" 'palta lupina',\n",
" 'marigold',\n",
" 'pansy',\n",
" 'cornflower'],\n",
" ['caper plant', 'wheat', 'pansy', 'rose'],\n",
" ['wheat', 'pansy', 'rose']]"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[manuscript.entries[just_rose[i]].get_prop('plant') for i in range(len(roses))]"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['044r_5', '110v_2', '120v_6', '129r_4', '138v_2', '142v_1', '154v_4']"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"manuscript.search(plant=['pansy'])"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['003v_1',\n",
" '004v_1',\n",
" '004v_3',\n",
" '006v_2',\n",
" '007r_1',\n",
" '010r_5',\n",
" '010v_3',\n",
" '012v_3',\n",
" '016r_1',\n",
" '017r_1',\n",
" '022v_1',\n",
" '023r_1',\n",
" '023v_1',\n",
" '024v_1',\n",
" '028v_1',\n",
" '030r_2',\n",
" '032v_3',\n",
" '036v_3',\n",
" '037r_3',\n",
" '039r_2',\n",
" '048v_1',\n",
" '049r_1',\n",
" '050v_2',\n",
" '053r_2',\n",
" '057v_1',\n",
" '063r_3',\n",
" '067v_1',\n",
" '068r_3',\n",
" '072r_2',\n",
" '072v_1',\n",
" '073r_5',\n",
" '076v_4',\n",
" '078v_1',\n",
" '081r_3',\n",
" '081v_2',\n",
" '081v_4',\n",
" '082r_2',\n",
" '082v_4',\n",
" '085v_4',\n",
" '087v_3',\n",
" '088r_2',\n",
" '092v_2',\n",
" '094r_1',\n",
" '097r_2',\n",
" '098r_2',\n",
" '098r_3',\n",
" '098v_5',\n",
" '101r_1',\n",
" '104r_2',\n",
" '105v_4',\n",
" '106r_2',\n",
" '106v_1',\n",
" '110v_2',\n",
" '112v_1',\n",
" '118v_1',\n",
" '',\n",
" '125r_2',\n",
" '126v_3',\n",
" '129v_1',\n",
" '133r_3',\n",
" '134r_1',\n",
" '136v_1',\n",
" '139r_1',\n",
" '141r_1',\n",
" '144r_1',\n",
" '145v_1',\n",
" '146v_1',\n",
" '148r_2',\n",
" '148r_4',\n",
" '149r_1',\n",
" '149r_3',\n",
" '150v_1',\n",
" '151v_1',\n",
" '152r_1',\n",
" '152v_1',\n",
" '155v_1',\n",
" '156v_1',\n",
" '160r_1',\n",
" '161v_1',\n",
" '165v_1',\n",
" '167r_1',\n",
" '169r_1']"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"manuscript.search(material=['iron'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.7.4 64-bit",
"language": "python",
"name": "python37464bitd1f438d1876f44549e9f31c994f2ef25"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
0 vocabulary_abstraction.ipynb → ...er notebooks/vocabulary_abstraction.ipynb
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