The goal of this script is to assign exam centers to students.
Variable | Value | Description |
---|---|---|
PREF_DISTANCE_THRESHOLD |
2 | Preferred threshold distance in km |
ABS_DISTANCE_THRESHOLD |
7 | Absolute threshold distance in km |
MIN_STUDENT_IN_CENTER |
10 | Min. no of students from a school to be assigned to a center in normal circumstances |
STRETCH_CAPACITY_FACTOR |
0.02 | Factor determining how much center capacity can be stretched if needed |
PREF_CUTOFF |
-4 | Cutoff value for preference score allocation |
scode count name-address lat long
27101 1776 काठमाण्डौ मोडेल मा.वि., वागवजार 27.7067463495 85.3188922809
27007 1700 ट्रिनीटी इन्टरनेशनल मा.वि., डिल्लीबजार 27.7038931952 85.3251961353
27045 1278 साउथ वेस्टर्न स्टेट मा.वि., बसुन्धारा 27.7396600173 85.3254532539
27127 1210 क्यापिटल मा.वि., कोटेश्वर 27.673541693 85.3449013829
cscode == scode
cscode capacity name address नाम ठेगाना lat long
27003 500 NATIONAL SCHOOL OF SCIENCES SECONDARY SCHOOL LAINCHAUR नेशनल स्कुल अफ साइन्सेस मा.वि लैनचौर 27.71933026 85.31413793
27051 500 UNIGLOBE MA VI KAMALADI युनिग्लोब मा.वि कमलादी 27.70792875 85.32068522
27045 568 SOUTH WESTERN ACADEMY SECONDARY SCHOOL BASUNDHARA साउथ वेर्ष्टन एकेडेमी मा.वि. बसुन्धरा 27.74212647 85.33392421
PREF_CUTOFF
center will be excluded from consideration.scode cscode pref reason
27xxx 27yyy -5 same management
27yyy 27xxx -5 same management
27aaa 27bbb -1 last year's center
To run school_center.py
use the command below:
python3 school_center.py sample_data/schools_grade12_2081.tsv sample_data/centers_grade12_2081.tsv sample_data/prefs.tsv
🚀 24-04-22 20:40:27 - __main__ - INFO - Remaining capacity at each center (remaining_capacity cscode):
Remaining capacity at center (-ve if stretched capacity is used)
|
🚀 24-04-22 20:40:27 - __main__ - INFO - [(-11, '27022'), (-11, '27045'), (-11, '27057')]
|
center code
🚀 24-04-22 20:40:27 - __main__ - INFO - Total remaining capacity across all centers: 161
🚀 24-04-22 20:40:27 - __main__ - INFO - Students not assigned: 0