Anton Kavalkou antosha417

## Opty full
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "196b8a50-3d29-45c3-82b9-f4a09b49491d"
    },
    "slideshow": {
     "slide_type": "slide"

## NumPy.ipynb

      
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                antosha417
                / NumPy.ipynb
            
            
              Created
              March 15, 2019 12:44
            
              
                Пример работы с NumPy
              
          
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## ping.ipynb

      
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                antosha417
                / ping.ipynb
            
            
              Created
              May 5, 2019 21:11
            
          
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## 10.py
int number_of_lines = int(input())

summary = {}
for _ in range(number_of_lines):
    customer_name, item, amount = input().split()
    summary[customer_name] = {item: amount} # так в итоге выведем только последнюю покупку для каждого покупателя

####################################################################################################################################


## sudoku.py
NUMBERS_IN_ROW = sorted(range(1, 10))


def check_row(row):
    # all x in NUMBERS_IN_ROW needed if row is smth like ['hello', True, 1, 5.5] or else sorted will throw
    return all(map(lambda x: x in NUMBERS_IN_ROW, row)) and sorted(row) == NUMBERS_IN_ROW


def check_rows(matrix):
    return all(map(check_row, matrix))
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {
	"nbpresent": {
	"id": "196b8a50-3d29-45c3-82b9-f4a09b49491d"
	},
	"slideshow": {
	"slide_type": "slide"
	int number_of_lines = int(input())

	summary = {}
	for _ in range(number_of_lines):
	customer_name, item, amount = input().split()
	summary[customer_name] = {item: amount} # так в итоге выведем только последнюю покупку для каждого покупателя

	####################################################################################################################################
	NUMBERS_IN_ROW = sorted(range(1, 10))


	def check_row(row):
	# all x in NUMBERS_IN_ROW needed if row is smth like ['hello', True, 1, 5.5] or else sorted will throw
	return all(map(lambda x: x in NUMBERS_IN_ROW, row)) and sorted(row) == NUMBERS_IN_ROW


	def check_rows(matrix):
	return all(map(check_row, matrix))