-
Notifications
You must be signed in to change notification settings - Fork 1
/
worker.py
266 lines (259 loc) · 12.1 KB
/
worker.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
"""
YASİN ATLI - 2020400246
ENES BAŞER - 2020400141
Group number: 49
"""
from mpi4py import MPI
import sys
def reverse(product):
"""
Reverses the product string.
"""
return product[::-1]
def trim(product):
"""
Removes the first and the last letters from the product.
"""
if len(product) > 2:
return product[1:-1]
return product
def chop(product):
"""
Removes the last letter from the product.
"""
if len(product) > 1:
return product[:-1]
return product
def enhance(product):
"""
Duplicates the first and the last letter in the product.
"""
if(len(product)>1):
return product[0] * 1 + product + product[-1] * 1
else:
return product[0] * 3
# Split Operation
def split(product):
"""
Splits the product into two parts and discards the right part.
"""
return product[:len(product)//2 + len(product) % 2]
def main():
# Initialize MPI environment for the main proceses of the hw.py
comm = MPI.Comm.Get_parent()
size = comm.Get_size()
rank = comm.Get_rank()
#Initialize MPI environment for communation between machines
comm2 = MPI.COMM_WORLD
size2 = comm2.Get_size()
rank2 = comm2.Get_rank()
# receiving the clock cycle value from the main processes
cycle = comm.recv(source=0, tag=7)
#receiving the data(that is stand for machine) from the main processses
data = comm.recv(source=0, tag=41)
# receiving the string of the log from the main processes
log_res = comm.recv(source=0,tag=99)
#reveicing the list of integers of the cost of the operations from the main processes
op_costs = comm.recv(source=0, tag =52)
# receiving the threshold value from the main processes
tHold = comm.recv(source=0,tag=61)
#ploting clock cycle to all the machines
for k in range (cycle) :
""" chechking if the machine is leaf machine, if so we dont need to
receive a product from any other machine, because product of leaf machines
are given at the begining of the production cycle
"""
if(data.isLeaf):
# getting the product of the leaf machine
product2= data.product
# getting the accumulated value of the machine
accCost=data.a_cost
# chechking if the operation is enhance
if(data.operation=="enhance"):
# performing operation
product2=enhance(product2)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[0]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[0]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="split"
# chechking if the operation is trim
elif(data.operation=="trim"):
# performing operation
product2=trim(product2)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[3]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[3]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="reverse"
# chechking if the operation is chop
elif(data.operation=="chop"):
# performing operation
product2=chop(product2)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[2]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[2]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="enhance"
# chechking if the operation is reverse
elif(data.operation=="reverse"):
# performing operation
product2=reverse(product2)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[1]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[1]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="trim"
# chechking if the operation is split
elif(data.operation=="split"):
# performing operation
product2=split(product2)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[4]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[4]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="chop"
# sending the product of the machine to its parent machine
comm2.send(product2
, dest = data.parent_id-1,tag =41)
# if the machine is the terminal machine
if(rank2==0):
data3=""
# getting all the prodcuts from its child machines by order of their ids
for child in data.child_machines:
data3+= comm2.recv(source = child-1, tag =41 )
data.product=data3
# sendign the final product to main processes
comm.send(data3,dest=0,tag = 14)
# if a machine is not leaf and not terminal
elif (rank2>0 and not(data.isLeaf)):
data3=""
# getting all the prodcuts from its child machines by order of their ids
for child in data.child_machines:
data3+= comm2.recv(source = child-1, tag =41 )
data.product=data3
accCost=data.a_cost
# chechking if the operation is trim
if(data.operation=="trim"):
# performing operation
data3=trim(data3)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[3]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[3]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="reverse"
# chechking if the operation is enhance
elif(data.operation=="enhance"):
# performing operation
data3=enhance(data3)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[0]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[0]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="split"
# chechking if the operation is chop
elif(data.operation=="chop"):
# performing operation
data3=chop(data3)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[2]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[2]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="enhance"
# chechking if the operation is reverse
elif(data.operation=="reverse"):
# performing operation
data3=reverse(data3)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[1]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[1]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="trim"
# chechking if the operation is split
elif(data.operation=="split"):
# performing operation
data3=split(data3)
# adding the wear factor of the opreation to accumulated value
data.a_cost=accCost+op_costs[4]
# checking whether accumulated cost exceed the threshold or not
if(data.a_cost>= tHold):
# if so calculate the cost
m_cost =(data.a_cost-tHold+1)* op_costs[4]
#adding the log of the machine to the log string
log_res= log_res+f"{data.id}-{m_cost}-{k+1}"
# setting accumulated value to 0 because it got maintanence
data.a_cost=0
# chancing the operation
data.operation="chop"
# sending the product to machine's parent machine
comm2.send(data3,dest=data.parent_id-1,tag=41)
# sending the log string to main processes
comm.send(log_res,dest=0,tag=222)
# deleting the log string for other machines logs
log_res=""
comm.Disconnect()
if __name__ == "__main__":
main()