115 lines
3.0 KiB
Plaintext
115 lines
3.0 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"importing Jupyter notebook from PGenType.ipynb\n",
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"importing Jupyter notebook from PGenObject.ipynb\n"
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]
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}
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],
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"source": [
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"import import_ipynb\n",
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"from PGenType import *\n",
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"from PGenObject import *\n",
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"\n",
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"class PText(PGenType):\n",
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" \n",
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" PREFIX = \"<text>\"\n",
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" SUFFIX = \"</text--->\"\n",
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" \n",
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" def __init__(self, value = None, defined = None):\n",
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" super(PText, self).__init__(value, defined)\n",
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" self.PREFIX = \"<text>\"\n",
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" self.SUFFIX = \"</text--->\"\n",
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" \n",
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" def getTypeName(self):\n",
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" return 'text'\n",
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" \n",
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" def getTypeClass(self):\n",
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" return self.__class__.__name__\n",
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" \n",
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" def InFromList(self, NList):\n",
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" assert len(NList) >= 1, 'The list must contain at least one element!'\n",
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" value = NList[0] if not NList[0].startswith(self.PREFIX) else NList[0][len(self.PREFIX):]\n",
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" value = value if not value.endswith(self.SUFFIX) else value[:-len(self.SUFFIX)]\n",
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" self.setValue(value)\n",
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" if len(NList) >= 2:\n",
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" self.setDefined(NList[1])\n",
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" \n",
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" def OutToList(self):\n",
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" value = self.PREFIX + self.getValue() + self.SUFFIX\n",
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" NList = []\n",
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" NList.append(value)\n",
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" return NList\n",
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" \n",
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" \n",
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" def __str__(self):\n",
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" if self.getValue() == None:\n",
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" return \"(text undefined)\"\n",
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" return \"(text \" + str(self.getValue()) + \")\"\n",
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" \n",
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" def parse(self, text):\n",
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" if text is not None:\n",
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" self.setValue(text)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [],
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"source": [
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"######Test\n",
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"#s1=PText('abs')\n",
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"#print(s1.getValue())\n",
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"#print(s1.getDefined())\n",
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"#l= ['ABS', True]\n",
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"#s1.InFromList(l)\n",
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"#print(s1.getValue())\n",
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"#print(s1.getDefined())\n",
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"#print(s1.OutToList())\n",
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"#s1.parse(\"aabbss\")\n",
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"#print(s1.getValue())\n",
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"#s2=PText('123')\n",
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"#s3 = s1 + s2\n",
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"#print(s3.getValue(), s3.getDefined())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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