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.gitignore
vendored
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.gitignore
vendored
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venv
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test.txt
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*.pyc
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23
README.md
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README.md
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# Calculateur inflation
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Simple calculteur d'inflation de 1980 a 2001
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## Installation
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```sh
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python -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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```
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## Usage
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```sh
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python main.py
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```
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## Screenshots
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## Source
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- Les donnees sur l'inflation dans le fichier [inflation.txt](./inflation.txt) viennent de ce [site](https://france-inflation.com/inflation-depuis-1901.php).
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- Les donnees sur le montant du SMIC viennent du site [smic.txt](https://www.cdg17.fr/download/Paie/Notes/valeur_smic_2024-01.pdf)
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12
inflation.py
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inflation.py
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content: str
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with open("inflation.txt") as f:
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content = f.read()
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def get_inflation_data() -> dict[str: float]:
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inflation_data: dict[str: float] = {}
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for line in content.splitlines():
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year, value, _ = line.split(" ")
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value = value[:-1]
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inflation_data.update({year: float(value) / 100})
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return inflation_data
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123
inflation.txt
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inflation.txt
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2023 4.9% 2936
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2022 5.2% 2799
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2021 1.6% 2661
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2020 0.5 % 2619
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2019 1.1 % 2606
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2018 1.8 % 2577
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2017 1 % 2531
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2016 0.2 % 2505
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2015 0 % 2500
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2014 0.5 % 2499
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2013 0.9 % 2487
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2012 2 % 2465
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2011 2.1 % 2418
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2010 1.5 % 2368
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2009 0.1 % 2332
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2008 2.8 % 2330
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2007 1.5 % 2267
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2006 1.6 % 2233
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2005 1.9 % 2198
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2004 2.1 % 2158
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2003 2.1 % 2113
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2002 2 % 2070
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2001 1.6 % 2030
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2000 1.7 % 1998
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1999 0.5 % 1965
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1998 0.6 % 1955
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1997 1.2 % 1943
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1996 2 % 1920
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1995 1.9 % 1883
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1994 1.7 % 1848
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1993 2.1 % 1818
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1992 2.3 % 1780
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1991 3.3 % 1740
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1990 3.4 % 1685
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1989 3.6 % 1630
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1988 2.7 % 1573
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1987 3.1 % 1532
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1986 2.7 % 1485
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1985 5.8 % 1447
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1984 7.4 % 1367
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1983 9.6 % 1273
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1982 11.8 % 1161
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1981 13.4 % 1039
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1980 13.6 % 916
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1979 10.8 % 807
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1978 9.1 % 728
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1977 9.4 % 668
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1976 9.6 % 611
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1975 11.8 % 557
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1974 13.7 % 498
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1973 9.2 % 438
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1972 6.2 % 401
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1971 5.7 % 378
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1970 5.2 % 358
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1969 6.5 % 340
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1968 4.5 % 319
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1967 2.7 % 306
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1966 2.7 % 297
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1965 2.5 % 290
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1964 3.4 % 283
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1963 4.8 % 273
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1962 4.8 % 261
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1961 3.3 % 249
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1960 3.6 % 241
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1959 6.2 % 232
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1958 15.1 % 219
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1957 3 % 190
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1956 4.2 % 185
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1955 1 % 177
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1954 0.4 % 176
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1953 -1.7 % 175
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1952 11.9 % 178
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1951 16.2 % 159
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1950 10 % 137
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1949 13.2 % 124
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1948 58.7 % 110
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1947 49.2 % 69
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1946 52.6 % 46
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1945 48.5 % 30
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1944 22.2 % 21
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1943 24.1 % 17
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1942 20.3 % 14
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1941 17.5 % 11
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1940 17.8 % 10
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1939 7 % 8
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1938 13.7 % 8
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1937 25.7 % 7
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1936 7.7 % 5
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1935 -8.5 % 5
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1934 -4.1 % 6
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1933 -3.9 % 6
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1932 -8.3 % 6
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1931 -4.5 % 6
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1930 1.1 % 7
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1929 6.1 % 7
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1928 0 % 6
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1927 3.8 % 6
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1926 31.7 % 6
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1925 7.2 % 5
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1924 14.2 % 4
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1923 8.9 % 4
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1922 -2.1 % 4
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1921 -13.3 % 4
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1920 39.5 % 4
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1919 22.6 % 3
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1918 29.2 % 2
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1917 20 % 2
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1916 11.2 % 2
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1915 19.8 % 1
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1914 0 % 1
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1913 0 % 1
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1912 0 % 1
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1911 15.5 % 1
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1910 0 % 1
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1909 0 % 1
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1908 0 % 1
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1907 8.5 % 1
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1906 -7.9 % 1
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1905 0 % 1
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1904 0 % 1
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1903 0 % 1
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1902 0 % 1
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1901 0 % 1
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26
main.py
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main.py
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from tabulate import tabulate
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from inflation import get_inflation_data
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from smic import get_smic_data
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start_year: str = input("année de depart: ")
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stop_year: str = input("année de de fin: ")
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total_inflation = 1
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inflation_data = get_inflation_data()
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smic_data = get_smic_data()
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data: list[list[str]] = []
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for current_year in range(int(start_year), int(stop_year) + 1):
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year: str = str(current_year)
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inflation: float = inflation_data.get(year)
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smic: float = smic_data.get(year)
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data.append([year, str(smic), str(inflation), str(total_inflation * (1 + inflation)), f"{total_inflation} * (1 + {inflation})"])
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total_inflation: float = total_inflation * (1 + inflation)
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head: list[str] = ["année actuelle", "smic", "inflation", "inflation depuis année de depart", "calcul"]
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print(tabulate(data, headers=head, tablefmt="grid"))
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print(f"augmentation du smic: +{round((smic_data.get(stop_year) - smic_data.get(start_year)) * 100 / smic_data.get(start_year), 2)}%")
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print(f"produit de l'inflation: +{round((total_inflation - 1) * 100, 2)}%")
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1
requirements.txt
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requirements.txt
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tabulate==0.9.0
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BIN
screenshoots/image.png
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BIN
screenshoots/image.png
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smic.py
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smic.py
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content: str
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with open("smic.txt") as f:
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content = f.read()
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def get_smic_data() -> dict[str: float]:
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smic_data: dict[str: float] = {}
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for line in content.splitlines():
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year, _, _, _, _, value = line.split(" ")
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value = value.replace(",", ".")
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smic_data.update({year: float(value)})
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return smic_data
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49
smic.txt
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smic.txt
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2001 43,72 7 388,68 29/06/2001 6,67
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2000 42,02 7 101,38 30/06/2000 6,41
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1999 40,72 6 881,68 02/07/1999 6,21
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1998 40,22 6 797,18 26/06/1998 6,13
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1997 39,43 6 663,67 27/06/1997 6,01
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1996 37,91 6 406,79 28/06/1996 5,78
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1996 37,72 6 374,68 28/04/1996 5,75
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1995 36,98 6 249,62 30/06/1995 5,64
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1994 35,56 6 009,64 01/07/1994 5,42
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1993 34,83 5 886,27 06/07/1993 5,31
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1992 34,06 5 756,14 03/07/1992 5,19
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1992 33,31 5 629,39 28/02/1992 5,08
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1991 32,66 5 519,54 29/06/1991 4,98
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1990 31,94 5 397,86 30/11/1990 4,87
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1990 31,28 5 286,32 30/06/1990 4,77
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1990 30,51 5 156,19 31/03/1990 4,65
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1989 29,91 5 054,79 01/07/1989 4,56
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1989 29,36 4 961,84 01/03/1989 4,48
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1988 28,76 4 860,44 01/07/1988 4,38
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1988 28,48 4 813,12 01/06/1988 4,34
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1987 27,84 4 704,96 01/07/1987 4,24
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1987 27,57 4 659,33 01/03/1987 4,2
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1986 26,92 4 549,48 07/07/1986 4,1
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1986 26,59 4 493,71 01/06/1986 4,05
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1985 26,04 4 400,76 01/07/1985 3,97
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1985 25,54 4 316,26 01/05/1985 3,89
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1985 24,9 4 208,10 01/04/1985 3,8
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1984 24,36 4 116,84 01/11/1984 3,71
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1984 23,84 4 028,96 01/07/1984 3,63
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1984 23,56 3 981,64 01/05/1984 3,59
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1984 22,78 3 849,82 01/01/1984 3,47
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1983 22,33 3 773,77 01/10/1983 3,4
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1983 21,89 3 699,41 01/07/1983 3,34
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1983 21,65 3 658,85 01/06/1983 3,3
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1983 21,02 3 552,38 01/03/1983 3,2
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1982 20,29 3 429,01 01/12/1982 3,09
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1982 19,64 3 319,16 01/07/1982 2,99
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1982 19,03 3 215,07 01/05/1982 2,9
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1982 18,62 3 146,78 01/03/1982 2,84
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1982 18,15 3 145,94 01/01/1982 2,77
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1981 17,76 3 078,34 01/11/1981 2,71
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1981 17,34 3 005,54 01/09/1981 2,64
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1981 16,72 2 898,08 01/06/1981 2,55
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1981 15,2 2 634,62 01/06/1981 2,32
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1980 14,79 2 563,55 01/12/1980 2,25
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1980 14,29 2 476,89 01/09/1980 2,18
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1980 14 2 426,62 01/07/1980 2,13
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1980 13,66 2 367,69 01/05/1980 2,08
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1980 13,37 2 317,42 01/03/1980 2,04
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