154 lines
7.9 KiB
Python
154 lines
7.9 KiB
Python
import math
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import sys
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import os
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# defining some constants
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r = 3 # round to n digits
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column_width = 11 # set column width of final table
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# checking if the file is provided correctly
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if len(sys.argv) != 2:
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print(f"Please, provide data file\nUsage example: python3 {sys.argv[0]} sample_file.txt")
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sys.exit(1)
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if not os.path.exists(sys.argv[1]):
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print("File does not exist")
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sys.exit(1)
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# defining functions
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def avg(a):
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#print(a)
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return sum(a) / len(a)
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def get_max_len(a):
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return max(list(map(lambda x: len(str(x)), a)))
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# reading input data from the file
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possible_units = {"mass": {"kilogram": 1, "gram": 0.001}}
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selected_table = 0
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tables = {"1": {"r2": 0, "r1": 0, "norms": {"mass": 1}, "stats": []},
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"2": {"r2": 0, "r1": 0, "norms": {"mass": 1}, "stats": []}}
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with open(sys.argv[1]) as source_file:
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for raw_i in source_file:
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i = raw_i.rstrip("\n\r")
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table_line = i.split()
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if len(table_line) > 0:
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if table_line[0] == "#":
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if table_line[1] == "table":
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selected_table = table_line[2]
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elif table_line[1] == "r1":
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tables[selected_table]["r1"] = float(table_line[2])
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elif table_line[1] == "r2":
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tables[selected_table]["r2"] = float(table_line[2])
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elif table_line[1] == "set_unit":
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if table_line[2] in possible_units and table_line[3] in possible_units[table_line[2]]:
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tables[selected_table]["norms"][table_line[2]] = possible_units[table_line[2]][table_line[3]]
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else:
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print(f"Unsupported unit defined in line: '{i}'")
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else:
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if len(table_line) == 7:
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new_data = list(map(float, table_line))
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new_data[0] = round(new_data[0] * tables[selected_table]["norms"]["mass"], r)
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tables[selected_table]["stats"].append(new_data)
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# processing inputs
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required_data = {"1": {"stats": [], "Mt": 0, "Imin": 0},
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"2": {"stats": [], "Mt": 0, "Imin": 0}}
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for i in tables:
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for j in tables[i]['stats']:
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new_line = []
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new_line.append(round(j[0]*tables[i]['r1']*9.81, r))
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new_line.append(round(avg(j[1:4]), r))
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new_line.append(round(2/(tables[i]['r1']*(new_line[1]**2)), r))
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new_line.append(round(j[0]*tables[i]['r2']*9.81, r))
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new_line.append(round(avg(j[4:7]), r))
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new_line.append(round(2/(tables[i]['r2']*(new_line[4]**2)), r))
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required_data[i]["stats"].append(new_line)
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# printing out the results
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'''
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for i in tables:
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table_widths = [get_max_len(list(zip(tables[i]['stats']))[0]),
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get_max_len(list(zip(required_data[i]['stats']))[0]),
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get_max_len(list(zip(tables[i]['stats']))[1]),
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get_max_len(list(zip(tables[i]['stats']))[2]),
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get_max_len(list(zip(tables[i]['stats']))[3]),
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get_max_len(list(zip(required_data[i]['stats']))[1]),
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get_max_len(list(zip(required_data[i]['stats']))[2]),
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get_max_len(list(zip(tables[i]['stats']))[0]),
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get_max_len(list(zip(required_data[i]['stats']))[3]),
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get_max_len(list(zip(tables[i]['stats']))[4]),
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get_max_len(list(zip(tables[i]['stats']))[5]),
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get_max_len(list(zip(tables[i]['stats']))[6]),
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get_max_len(list(zip(required_data[i]['stats']))[4]),
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get_max_len(list(zip(required_data[i]['stats']))[5]),
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]
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print("|".join( list(map(lambda x: str(x[0].center(x[1])), zip(["m", "Mi", "t1", "t2", "t3", "❬t❭", "βi"]*2, table_widths)))))
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for j in range(len(required_data[i]['stats'])):
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print("|".join( list(map(lambda x: str(x[0].center(x[1])),
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zip([tables[i]['stats'][j][0],
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required_data[i]['stats'][j][0],
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tables[i]['stats'][j][1],
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tables[i]['stats'][j][2],
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tables[i]['stats'][j][3],
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required_data[i]['stats'][j][1],
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required_data[i]['stats'][j][2],
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tables[i]['stats'][j][0],
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required_data[i]['stats'][j][3],
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tables[i]['stats'][j][4],
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tables[i]['stats'][j][5],
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tables[i]['stats'][j][6],
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required_data[i]['stats'][j][4],
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required_data[i]['stats'][j][5]],
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table_widths))) ))
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'''
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for i in tables:
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print(f"Table #{i}")
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print("|".join( list(map(lambda x: str(x).center(11), ["m", "Mi", "t1", "t2", "t3", "❬t❭", "βi"]*2))))
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for j in range(len(required_data[i]['stats'])):
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print("|".join( list(map(lambda x: str(x).center(11),
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[tables[i]['stats'][j][0],
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required_data[i]['stats'][j][0],
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tables[i]['stats'][j][1],
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tables[i]['stats'][j][2],
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tables[i]['stats'][j][3],
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required_data[i]['stats'][j][1],
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required_data[i]['stats'][j][2],
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tables[i]['stats'][j][0],
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required_data[i]['stats'][j][3],
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tables[i]['stats'][j][4],
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tables[i]['stats'][j][5],
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tables[i]['stats'][j][6],
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required_data[i]['stats'][j][4],
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required_data[i]['stats'][j][5]])) ))
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sigma_beta1 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["1"]['stats']))[2]))) + avg(list(zip(*required_data["1"]['stats']))[2])**2), r)
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sigma_beta2 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["1"]['stats']))[5]))) + avg(list(zip(*required_data["1"]['stats']))[5])**2), r)
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sigma_beta3 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["2"]['stats']))[2]))) + avg(list(zip(*required_data["2"]['stats']))[2])**2), r)
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sigma_beta4 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["2"]['stats']))[5]))) + avg(list(zip(*required_data["2"]['stats']))[5])**2), r)
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sigma_t1 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["1"]['stats']))[1]))) + avg(list(zip(*required_data["1"]['stats']))[1])**2), r)
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sigma_t2 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["1"]['stats']))[3]))) + avg(list(zip(*required_data["1"]['stats']))[3])**2), r)
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sigma_t3 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["2"]['stats']))[1]))) + avg(list(zip(*required_data["2"]['stats']))[1])**2), r)
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sigma_t4 = round(math.sqrt(avg(list(map(lambda x: x**2, list(zip(*required_data["2"]['stats']))[3]))) + avg(list(zip(*required_data["2"]['stats']))[3])**2), r)
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print("σβ (1-4) (DO NOT USE):", sigma_beta1/avg(list(zip(*required_data["1"]['stats']))[2]), sigma_beta2/avg(list(zip(*required_data["1"]['stats']))[5]), sigma_beta3/avg(list(zip(*required_data["2"]['stats']))[2]), sigma_beta4/avg(list(zip(*required_data["2"]['stats']))[5]))
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print("σt (1-4) (DO NOT USE):", sigma_t1/avg(list(zip(*required_data["1"]['stats']))[1]), sigma_t2/avg(list(zip(*required_data["1"]['stats']))[3]), sigma_t3/avg(list(zip(*required_data["2"]['stats']))[1]), sigma_t4/avg(list(zip(*required_data["2"]['stats']))[3]))
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