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@ -1,9 +0,0 @@
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kind: pipeline
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name: default
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steps:
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- name: testing
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image: python
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commands:
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- pip install -r requirements.txt
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- pytest --doctest-modules ./mapytex/
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@ -1,5 +1,4 @@
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# Mapytex
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[![Build Status](https://drone.opytex.org/api/badges/lafrite/Mapytex/status.svg)](https://drone.opytex.org/lafrite/Mapytex)
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Formal calculus with explanation python module and exercises creation tools.
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@ -23,18 +23,12 @@ def random_generator(
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:param v_max: maximum accepted value
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:param exact_mean: if set, the last generated number will be create in order that the computed mean is exacly equal to "exact_mean"
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>>> random_generator(10) # doctest: +SKIP
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[-0.76, 0.46, 0.19, 0.08, -1.13, -0.5, 0.47, -2.11, 0.16, -1.05]
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>>> random_generator(10, distrib = uniform, rd_args = (5, 10)) # doctest: +SKIP
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[9.01, 5.32, 5.59, 8.8, 7.36, 6.9, 6.05, 7.44, 9.47, 6.95]
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>>> random_generator(10, distrib = "uniform", rd_args = (5, 10)) # doctest: +SKIP
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[7.85, 9.01, 5.32, 5.59, 8.8, 7.36, 6.9, 6.05, 7.44, 9.47]
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>>> random_generator(10, v_min = 0) # doctest: +SKIP
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[0.46, 0.19, 0.08, 0.47, 0.16, 0.87, 0.17, 1.79, 0.19, 1.12]
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>>> random_generator(10, exact_mean = 0) # doctest: +SKIP
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[-0.76, 0.46, 0.19, 0.08, -1.13, -0.5, 0.47, -2.11, 0.16, 3.14]
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>>> random_generator(10, distrib = gauss, rd_args = (50,20), nbr_format = int) # doctest: +SKIP
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[34, 59, 53, 51, 27, 40, 59, 7, 53, 28]
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>>> random_generator(10)
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>>> random_generator(10, distrib = uniform, rd_args = (5, 10))
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>>> random_generator(10, distrib = "uniform", rd_args = (5, 10))
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>>> random_generator(10, v_min = 0)
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>>> random_generator(10, exact_mean = 0)
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>>> random_generator(10, distrib = gauss, rd_args = (50,20), nbr_format = int)
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"""
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# if exact_mean is set, we create automaticaly only length-1 value
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