636 lines
407 KiB
Plaintext
636 lines
407 KiB
Plaintext
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{
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"cells": [
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{
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"attachments": {
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"yap.ico": {
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"image/vnd.microsoft.icon": "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}
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},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# YAP Jupyter Interface \n",
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"\n",
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"## Walkthrough and User Guide\n",
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"\n",
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"The next cells show examples of input output interaction with Prolog and Jupyter. We assume basic knowledge of both Prolog and Python/R/Jupyter. Notice that this is experimental software, subject to bugs and change. Also remember that \n",
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" - all cells in the same page belong to the same process;\n",
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" - _magic_ refers to annotations that perform extra, non-trivial work\n",
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" - check the top=right ball right to the side of `YAP 6`: if empty the system is avsilable; otherwise, it is busy, \n",
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"\n",
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"### Basic Usage\n",
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"\n",
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"Any Prolog system should be able to unify two terms:"
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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": 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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"X = s\n",
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"No (more) answers\n"
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]
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}
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],
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"source": [
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"X= s"
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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": 2,
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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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"X = 2\n",
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"No (more) answers\n"
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]
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}
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],
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"source": [
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"X = 2\n"
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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": 3,
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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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"No (more) answers\n"
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]
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}
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],
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"source": [
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"f(X,['olá',X] = f(`hello`,Z)"
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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": 4,
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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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"X = \"hello\",\n",
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"Z = ['ol<6F><6C><EFBFBD><EFBFBD>',\"hello\"]\n",
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"No (more) answers\n"
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]
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}
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],
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"source": [
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"f(X,['olá',X]) = f(`hello`,Z)"
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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": 5,
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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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"X = Y\n",
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"No (more) answers\n"
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]
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}
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],
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"source": [
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"X=Y"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"You observe that the first time you press `shift-enter` or `ctl-enter`, YAP/Jupyter writes down `X=2`, the answer. If you press down `shift-enter` again, it writes `No (more) answers` Pressing again returns you to the first answer, `X=2`:\n",
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"\n",
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"- In YAP/Jupyter cells have a state that depends on how many answers you generated.\n",
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"\n",
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"The next example shows a more complex notion of state:"
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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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"between(1,100,I), J is I^I"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The YAP `^` operator generates floating-point numbers for large exponentials. You can try replacing `^` by `**` in the cell: notice that the cell state is reset, as changes in the text of a cell may mean anything. "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"If you want to look at all solutions, you can place an `*` at the end of cell:"
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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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"between(1,20,I), J is 20-I, IJ is I*J *\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"NB: in the current version, the states in a page are single-threaded, meaning only one cell is active at a rime."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Programming with cells\n",
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"\n",
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"Cells can store programs: in fact, by default that is what they should do. "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The next cell shows a program to recognise state-checking predicates:"
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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": 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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" % reconsulting jupyter cell...\n",
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" % reconsulted ??? in module user, 7 msec 0 bytes\n",
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"No (more) answers\n"
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]
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}
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],
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"source": [
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"state_info(Name/Arity) :- \n",
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" current_predicate(Name/Arity), \n",
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|||
|
|
" atom_concat(current,_,Name).\n",
|
|||
|
|
"state_info(Name/Arity) :- \n",
|
|||
|
|
" system_predicate(Name/Arity),\n",
|
|||
|
|
" atom_concat(current,_,Name)."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"A query cell follows:"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 2,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"P = current_mutex/3\n",
|
|||
|
|
"P = current_module/2\n",
|
|||
|
|
"P = current_module/1\n",
|
|||
|
|
"P = current_atom/1\n",
|
|||
|
|
"P = current_key/2\n",
|
|||
|
|
"P = current_predicate/1\n",
|
|||
|
|
"P = current_predicate/2\n",
|
|||
|
|
"P = current_thread/2\n",
|
|||
|
|
"P = current_char_conversion/2\n",
|
|||
|
|
"P = current_line_number/2\n",
|
|||
|
|
"P = current_line_number/1\n",
|
|||
|
|
"P = current_stream/3\n",
|
|||
|
|
"P = current_op/3\n",
|
|||
|
|
"P = current_prolog_flag/2\n",
|
|||
|
|
"P = current_source_module/2\n",
|
|||
|
|
"P = current_host/1\n",
|
|||
|
|
"P = current_output/1\n",
|
|||
|
|
"P = current_input/1\n",
|
|||
|
|
"P = current_reference_count/2\n",
|
|||
|
|
"No (more) answers\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
" state_info(P)*"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"Notice that you need to consult the program cell first. Of course, we can just do both: "
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
" % reconsulting jupyter cell...\n",
|
|||
|
|
" % reconsulted ??? in module user, 15 msec 0 bytes\n",
|
|||
|
|
"T = [5],\n",
|
|||
|
|
"X = 3\n",
|
|||
|
|
"No (more) answers\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"\n",
|
|||
|
|
"generate_ith(I, I, [Head|Tail], Head, Tail).\n",
|
|||
|
|
"generate_ith(I, IN, [_|List], El, Tail) :-\n",
|
|||
|
|
"\tI1 is I+1,\n",
|
|||
|
|
"\tgenerate_ith(I1, IN, List, El, Tail).\n",
|
|||
|
|
"\n",
|
|||
|
|
"ith(V, In, Element, Tail) :- var(V), !,\n",
|
|||
|
|
"\tgenerate_ith(0, V, In, Element, Tail).\n",
|
|||
|
|
"ith(0, [Head|Tail], Head, Tail) :- !.\n",
|
|||
|
|
"ith(N, [Head|Tail], Elem, [Head|Rest]) :-\n",
|
|||
|
|
"\tM is N-1,\n",
|
|||
|
|
"\tith(M, Tail, Elem, Rest).\n",
|
|||
|
|
"\n",
|
|||
|
|
"ith(X,[1,2,3,4,5],4, T)\n",
|
|||
|
|
"\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"#y#\n",
|
|||
|
|
"CMakeCache.txt\n",
|
|||
|
|
"CMakeCache.txt~\n",
|
|||
|
|
"CMakeDoxyfile.in\n",
|
|||
|
|
"CMakeDoxyfile.tpl.bak\n",
|
|||
|
|
"CMakeDoxygenDefaults.cmake\n",
|
|||
|
|
"CMakeFiles\n",
|
|||
|
|
"CXX\n",
|
|||
|
|
"FindPackageLog.txt\n",
|
|||
|
|
"GitSHA1.c\n",
|
|||
|
|
"H\n",
|
|||
|
|
"Makefile\n",
|
|||
|
|
"OPTYap\n",
|
|||
|
|
"PropsOfAE\n",
|
|||
|
|
"Untitled.ipynb\n",
|
|||
|
|
"Untitled1.ipynb\n",
|
|||
|
|
"Untitled10.ipynb\n",
|
|||
|
|
"Untitled11.ipynb\n",
|
|||
|
|
"Untitled2.ipynb\n",
|
|||
|
|
"Untitled3.ipynb\n",
|
|||
|
|
"Untitled4.ipynb\n",
|
|||
|
|
"Untitled5.ipynb\n",
|
|||
|
|
"Untitled6.ipynb\n",
|
|||
|
|
"Untitled7.ipynb\n",
|
|||
|
|
"Untitled8.ipynb\n",
|
|||
|
|
"Untitled9.ipynb\n",
|
|||
|
|
"YAP.cbp\n",
|
|||
|
|
"YapConfig.h\n",
|
|||
|
|
"YapIOConfig.h\n",
|
|||
|
|
"YapTermConfig.h\n",
|
|||
|
|
"cmake_install.cmake\n",
|
|||
|
|
"compile_commands.json\n",
|
|||
|
|
"config.h\n",
|
|||
|
|
"cudd_config.h\n",
|
|||
|
|
"dlocals.h\n",
|
|||
|
|
"docs\n",
|
|||
|
|
"i\n",
|
|||
|
|
"install_manifest.txt\n",
|
|||
|
|
"libYap.6.3.5.dylib\n",
|
|||
|
|
"libYap.6.3.5.dylib.dSYM\n",
|
|||
|
|
"libYap.6.3.dylib\n",
|
|||
|
|
"libYap.dylib\n",
|
|||
|
|
"library\n",
|
|||
|
|
"m\n",
|
|||
|
|
"meta.js\n",
|
|||
|
|
"myddas.yap\n",
|
|||
|
|
"new~~cc\n",
|
|||
|
|
"os\n",
|
|||
|
|
"packages\n",
|
|||
|
|
"pl\n",
|
|||
|
|
"swiLibrary\n",
|
|||
|
|
"temp-dir\n",
|
|||
|
|
"test2.png\n",
|
|||
|
|
"untitled.txt\n",
|
|||
|
|
"utf8proc\n",
|
|||
|
|
"x\n",
|
|||
|
|
"x.yap\n",
|
|||
|
|
"y\n",
|
|||
|
|
"yap\n",
|
|||
|
|
"yap.dSYM\n",
|
|||
|
|
"y~\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stderr",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"bash: line 1: fg: no job control\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"%%bash\n",
|
|||
|
|
"\n",
|
|||
|
|
"ls"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "markdown",
|
|||
|
|
"metadata": {},
|
|||
|
|
"source": [
|
|||
|
|
"### Magic\n",
|
|||
|
|
"\n",
|
|||
|
|
"YAP allows the standard magics, buth with line and cell:\n",
|
|||
|
|
"\n",
|
|||
|
|
"- line magics should be the first non-empty line, and must start with `%` followed immediately by the name.\n",
|
|||
|
|
"\n",
|
|||
|
|
"- cell magaics start with `%%` and must be the only magic in the cell.\n",
|
|||
|
|
"\n",
|
|||
|
|
"You can use the completion mechanism to list all magics.\n",
|
|||
|
|
"\n",
|
|||
|
|
"The next cell shows a cell magic that starts a bash shell."
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 4,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"ERROR! Session/line number was not unique in database. History logging moved to new session 5605\n",
|
|||
|
|
" % reconsulting jupyter cell...\n",
|
|||
|
|
" % reconsulted ??? in module user, 16 msec 0 bytes\n",
|
|||
|
|
"\n",
|
|||
|
|
"No (more) answers\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"data": {
|
|||
|
|
"image/png": "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
|
|||
|
|
"text/plain": [
|
|||
|
|
"<matplotlib.figure.Figure at 0x11024d1d0>"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
"metadata": {},
|
|||
|
|
"output_type": "display_data"
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"%matplotlib inline\n",
|
|||
|
|
"\n",
|
|||
|
|
"main :- \n",
|
|||
|
|
" := import( matplotlib.pyplot ),\n",
|
|||
|
|
" := import( numpy ),\n",
|
|||
|
|
" Plt = matplotlib.pyplot,\n",
|
|||
|
|
" Np = numpy,\n",
|
|||
|
|
" t := Np.arange(0.0, 2.0, 0.01),\n",
|
|||
|
|
" s := 1 + Np.sin(2*Np.pi*t),\n",
|
|||
|
|
" := Plt.plot(t, s),\n",
|
|||
|
|
" := Plt.xlabel(`time (s)`),\n",
|
|||
|
|
" := Plt.ylabel(`voltage (mV)`),\n",
|
|||
|
|
" := Plt.title(`About as simple as it gets, folks`),\n",
|
|||
|
|
" := Plt.grid(true),\n",
|
|||
|
|
" := Plt.savefig(`test2.png`),\n",
|
|||
|
|
" := Plt.show().\n",
|
|||
|
|
"\n",
|
|||
|
|
"main"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"ename": "SyntaxError",
|
|||
|
|
"evalue": "bracket or operator expected. (<string>, line 8)",
|
|||
|
|
"output_type": "error",
|
|||
|
|
"traceback": [
|
|||
|
|
"\u001b[0;36m File \u001b[0;32m\"<string>\"\u001b[0;36m, line \u001b[0;32m8\u001b[0m\n\u001b[0;31m lt = bqplot.pyplot,\n Np = numpy,\n := Plt.figure(1, title=`Line\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m bracket or operator expected.\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
" % reconsulting jupyter cell...\n",
|
|||
|
|
" % reconsulted ??? in module user, 20 msec 0 bytes\n",
|
|||
|
|
"No (more) answers\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"\n",
|
|||
|
|
"main2 :-\n",
|
|||
|
|
" python_import( numpy),\n",
|
|||
|
|
" python_import( matplotlib.mlab),\n",
|
|||
|
|
" python_import( matplotlib.pyplot ),\n",
|
|||
|
|
" NP = numpy,\n",
|
|||
|
|
" Mlab = matplotlib.mlab,\n",
|
|||
|
|
" Plt = matplotlib.pyplot,\n",
|
|||
|
|
"\n",
|
|||
|
|
" /* example data */\n",
|
|||
|
|
" Mu = 100, /* mean of distribution, */\n",
|
|||
|
|
" Sigma = 15, /* standard deviation of distribution, */\n",
|
|||
|
|
" x := Mu + Sigma * NP.random.randn(10000),\n",
|
|||
|
|
" NumBins = 50,\n",
|
|||
|
|
"/* the histogram of the data */\n",
|
|||
|
|
"t(n, bins, patches) := Plt.hist(x, NumBins, normed=1, facecolor= `green`, alpha=0.5),\n",
|
|||
|
|
"/* add a `best fit` line */\n",
|
|||
|
|
"y := Mlab.normpdf(bins, mu, sigma),\n",
|
|||
|
|
":= Plt.plot(bins, y, `r--`),\n",
|
|||
|
|
":= Plt.xlabel(`Smarts`),\n",
|
|||
|
|
":= Plt.ylabel(`Probability`),\n",
|
|||
|
|
":=Plt.title(`Histogram of IQ: $\\\\mu=100$, $\\\\sigma=15$ `),\n",
|
|||
|
|
"/* Tweak spacing to prevent clipping of ylabel, */\n",
|
|||
|
|
":= Plt.show().\n",
|
|||
|
|
" \n",
|
|||
|
|
" main2\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stderr",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
" File \"<stdin>\", line 1\n",
|
|||
|
|
" %%python3\n",
|
|||
|
|
" ^\n",
|
|||
|
|
"SyntaxError: invalid syntax\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
"%%python3\n",
|
|||
|
|
"\n",
|
|||
|
|
"dir(__root__)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 2,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"ename": "SyntaxError",
|
|||
|
|
"evalue": "bracket or operator expected. (<string>, line 8)",
|
|||
|
|
"output_type": "error",
|
|||
|
|
"traceback": [
|
|||
|
|
"\u001b[0;36m File \u001b[0;32m\"<string>\"\u001b[0;36m, line \u001b[0;32m8\u001b[0m\n\u001b[0;31m Plt = bqplot.pyplot,\n Np = numpy,\n := Plt.figure(1, title=`Lin\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m bracket or operator expected.\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"ename": "SyntaxError",
|
|||
|
|
"evalue": "bracket or operator expected. (<string>, line 8)",
|
|||
|
|
"output_type": "error",
|
|||
|
|
"traceback": [
|
|||
|
|
"\u001b[0;36m File \u001b[0;32m\"<string>\"\u001b[0;36m, line \u001b[0;32m8\u001b[0m\n\u001b[0;31m lt = bqplot.pyplot,\n Np = numpy,\n := Plt.figure(1, title=`Line\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m bracket or operator expected.\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
" % reconsulting jupyter cell...\n",
|
|||
|
|
":- user:python_import(numoy) failed.\n",
|
|||
|
|
" % reconsulted ??? in module user, 262 msec 0 bytes\n",
|
|||
|
|
"No (more) answers\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
":- python_import(bqplot).\n",
|
|||
|
|
":- python_import(numoy).\n",
|
|||
|
|
"\n",
|
|||
|
|
":- Plt = bqplot.pyplot,\n",
|
|||
|
|
" Np = numpy,\n",
|
|||
|
|
" := Plt.figure(1, title=`Line Chart`),\n",
|
|||
|
|
" := Np.random.seed(0),\n",
|
|||
|
|
"n = 200,\n",
|
|||
|
|
"x = Np.linspace(0.0, 10.0, n).\n",
|
|||
|
|
"y = Np.cumsum(np.random.randn(n)),\n",
|
|||
|
|
":= Plt.plot(x, y),\n",
|
|||
|
|
":= Plt.show().\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": []
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": 3,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [
|
|||
|
|
{
|
|||
|
|
"name": "stdout",
|
|||
|
|
"output_type": "stream",
|
|||
|
|
"text": [
|
|||
|
|
"No (more) answers\n"
|
|||
|
|
]
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"source": [
|
|||
|
|
":-[library(real)].\n",
|
|||
|
|
"\n",
|
|||
|
|
"X <- c(1:10), Y := sin(X)"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"X:=x"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": [
|
|||
|
|
"%% javascript\n"
|
|||
|
|
]
|
|||
|
|
},
|
|||
|
|
{
|
|||
|
|
"cell_type": "code",
|
|||
|
|
"execution_count": null,
|
|||
|
|
"metadata": {},
|
|||
|
|
"outputs": [],
|
|||
|
|
"source": []
|
|||
|
|
}
|
|||
|
|
],
|
|||
|
|
"metadata": {
|
|||
|
|
"kernelspec": {
|
|||
|
|
"display_name": "YAP 6",
|
|||
|
|
"language": "prolog",
|
|||
|
|
"name": "yap_kernel"
|
|||
|
|
},
|
|||
|
|
"language_info": {
|
|||
|
|
"codemirror_mode": {
|
|||
|
|
"name": "prolog"
|
|||
|
|
},
|
|||
|
|
"file_extension": "yap",
|
|||
|
|
"mimetype": "text/x-prolog",
|
|||
|
|
"name": "prolog",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "prolog",
|
|||
|
|
"version": "6.4"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 2
|
|||
|
|
}
|