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Lab Javier Rodriguez #24

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230 changes: 191 additions & 39 deletions main.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 53,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -37,19 +37,35 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 54,
"metadata": {},
"outputs": [],
"source": [
"def greater(a,b):\n",
" pass"
" if a > b:\n",
" return a\n",
" else:\n",
" return b\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 55,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.103s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_greater(greater)"
Expand All @@ -64,19 +80,36 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 56,
"metadata": {},
"outputs": [],
"source": [
"def greatest(arr):\n",
" great = 0\n",
" for i in arr:\n",
" if i > great:\n",
" great = i\n",
" return great\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 57,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.110s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_greatest(greatest)"
Expand All @@ -91,19 +124,35 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 58,
"metadata": {},
"outputs": [],
"source": [
"def sum_all(arr):\n",
" valores = 0\n",
" for i in arr:\n",
" valores += i\n",
" return valores\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 59,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.114s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_sum(sum_all)"
Expand All @@ -118,19 +167,35 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 60,
"metadata": {},
"outputs": [],
"source": [
"def mult_all(arr):\n",
" valores = 1\n",
" for i in arr:\n",
" valores *= i\n",
" return valores\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 86,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.172s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_mult(mult_all)"
Expand All @@ -145,19 +210,43 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 84,
"metadata": {},
"outputs": [],
"source": [
"def oper_all(arr, oper):\n",
" if oper == \"+\":\n",
" v_sum = 0\n",
" for s in arr:\n",
" v_sum += s\n",
" return v_sum\n",
" if oper == \"*\":\n",
" v_mult = 1\n",
" for m in arr:\n",
" v_mult *= m\n",
" return v_mult\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 85,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.121s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_operations(oper_all)"
Expand All @@ -172,19 +261,35 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 100,
"metadata": {},
"outputs": [],
"source": [
"def factorial(n):\n",
" values = 1\n",
" for i in range(1,n+1):\n",
" values *= i\n",
" return values\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 110,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.111s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_factorial(factorial)"
Expand All @@ -201,19 +306,36 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 106,
"metadata": {},
"outputs": [],
"source": [
"def unique(arr):\n",
" uni = []\n",
" for i in arr:\n",
" if i not in uni:\n",
" uni += [i]\n",
" return uni\n",
" pass"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 114,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.311s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function \n",
"test_unique(unique)"
Expand All @@ -229,27 +351,57 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 127,
"metadata": {},
"outputs": [],
"source": [
"def st_dev(arr):\n",
" pass"
"\n",
" count = 0\n",
" total = 0\n",
"# We can't use any formulas so we need to count the number of values\n",
" for i in arr:\n",
" total +=i\n",
" count +=1\n",
"# Now we can calculate the MEAN\n",
" media = 0\n",
" media = total / count\n",
"\n",
" total_standard_dev = 0\n",
" \n",
" for i in arr:\n",
" total_standard_dev += (i - media)**2\n",
"#Now we have the standard deviation\n",
"\n",
" sta_dev = (total_standard_dev/(count-1))**(1/2)\n",
"\n",
" return sta_dev"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 128,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"....................................................................................................\n",
"----------------------------------------------------------------------\n",
"Ran 100 tests in 0.129s\n",
"\n",
"OK\n"
]
}
],
"source": [
"# This will test your function\n",
"#test_stdev(st_dev)\n",
"test_stdev(st_dev)\n",
"\n",
"# Our tests need to be improved, so for this exercise, we care about the code itself. You may check if you get\n",
"# similar results by checking with:\n",
"\n",
"from statistics import stdev"
"\n"
]
},
{
Expand Down Expand Up @@ -388,7 +540,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.13"
"version": "3.11.4"
},
"toc": {
"base_numbering": 1,
Expand Down