removed testing notebook,

anticipated removal of pandas requirement,
added pandas and matplotlib to pyinstaller exclusion,
removed unessasary option in build scripts
This commit is contained in:
Arthur Lu 2021-10-30 03:51:03 +00:00
parent d798bfe7d2
commit 0fd24d42e1
6 changed files with 6 additions and 122 deletions

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@ -2,4 +2,4 @@ set pathtospec="../src/cli/superscript.spec"
set pathtodist="../dist/" set pathtodist="../dist/"
set pathtowork="temp/" set pathtowork="temp/"
pyinstaller --onefile --clean --distpath %pathtodist% --workpath %pathtowork% %pathtospec% pyinstaller --clean --distpath %pathtodist% --workpath %pathtowork% %pathtospec%

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@ -2,4 +2,4 @@ pathtospec="../src/cli/superscript.spec"
pathtodist="../dist/" pathtodist="../dist/"
pathtowork="temp/" pathtowork="temp/"
pyinstaller --onefile --clean --distpath ${pathtodist} --workpath ${pathtowork} ${pathtospec} pyinstaller --clean --distpath ${pathtodist} --workpath ${pathtowork} ${pathtospec}

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@ -1,5 +1,4 @@
import requests import requests
import pandas as pd
def pull_new_tba_matches(apikey, competition, cutoff): def pull_new_tba_matches(apikey, competition, cutoff):
api_key= apikey api_key= apikey

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@ -13,7 +13,10 @@ a = Analysis(['superscript.py'],
], ],
hookspath=[], hookspath=[],
runtime_hooks=[], runtime_hooks=[],
excludes=[], excludes=[
"matplotlib",
"pandas"
],
win_no_prefer_redirects=False, win_no_prefer_redirects=False,
win_private_assemblies=False, win_private_assemblies=False,
cipher=block_cipher, cipher=block_cipher,

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@ -1,116 +0,0 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"class C1:\n",
"\tval = 0\n",
"\tdef __init__(self, i):\n",
"\t\tself.val = i\n",
"\n",
"class C2:\n",
"\tval = 0\n",
"\tdef __init__(self, i):\n",
"\t\tself.val = 2*i\n",
"\n",
"class C3:\n",
"\tval = 0\n",
"\tdef __init__(self, i):\n",
"\t\tself.val = 3*i"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<__main__.C1 at 0x7fa84827afd0>,\n",
" <__main__.C2 at 0x7fa84827ae80>,\n",
" <__main__.C3 at 0x7fa8482020d0>]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"classes = [C1, C2, C3]\n",
"initialized = []\n",
"for c in classes:\n",
"\tinitialized.append(c(10))\n",
"initialized"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import module\n",
"module_references = {\"match\": module.Match}\n",
"module_initialized = []\n",
"for m in [\"match\"]:\n",
"\tmodule_initialized.append(module_references[m](\"\", \"\", \"\", 0, []))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<module.Match at 0x7f0e47c45ee0>]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"module_initialized"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "e7370f93d1d0cde622a1f8e1c04877d8463912d04d973331ad4851f04de6915a"
},
"kernelspec": {
"display_name": "Python 3.8.5 64-bit",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}

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@ -1,6 +1,5 @@
requests requests
pymongo pymongo
pandas
tra-analysis tra-analysis
dnspython dnspython
@ -11,7 +10,6 @@ scipy
scikit-learn scikit-learn
six six
pyparsing pyparsing
pandas
kivy==2.0.0rc2 kivy==2.0.0rc2