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1c64989c3d865d279c0d8bc7dbbba53dc4c4c247
loadlj/leetcode
/Range_sum_query.py
760
3.734375
4
# Given an integer array nums, find the sum of the elements between indices i and j (i ≤ j), inclusive. class NumArray(object): def __init__(self, nums): self.nums = nums self.updatedlist = [] self.updateList() def updateList(self): if len(self.nums) >0: self.updatedlist.append(self.nums[0]) for i in range(1,len(self.nums)): self.updatedlist.append(self.updatedlist[i-1] + self.nums[i]) def sumRange(self, i, j): sum = self.updatedlist[j] if i >=1: sum -= self.updatedlist[i-1] return sum # Your NumArray object will be instantiated and called as such: # numArray = NumArray(nums) # numArray.sumRange(0, 1) # numArray.sumRange(1, 2)
4b784585fefbe4087acbc9747f481fc650a21f84
D7DonKIM7E/Python
/BOJ_2588.py
119
3.6875
4
first = int(input()) second = input() for digit in second[::-1] : print(first*int(digit)) print(first*int(second))
a686a0f2ff0ea00d450015ed2f203ac144098c0d
luka3117/toy
/py/山内 テキスト text sample code/ohm/ch4/list4-2.py
1,149
3.515625
4
#-*- coding: utf-8 -*- # List 4-2 skew、kurtosisの例 from scipy.stats import skew, kurtosis, norm, uniform, kurtosistest import math import numpy as np import pandas as pd from matplotlib import pyplot as plt numsamples = 100000 v1 = norm.rvs(loc=0.0, scale=1.0, size=numsamples) print('正規分布N(0,1)', 'skew=', round(skew(v1),4), 'kurtosis=', round(kurtosis(v1),4)) vt = np.array([math.sqrt(u*16/numsamples) for u in range(numsamples)]) #右上がり三角分布を作る #print('4', 'skew=', skew(v4), 'kurtosis=', kurtosis(v4)) v = v1+(vt*3.0) # v1とvtを要素ごとに足す。正規分布要素に右上がり三角要素が足される。 print('正規+右上がり', 'skew=', round(skew(v),4), 'kurtosis=', round(kurtosis(v),4)) # 出力結果は # 正規分布N(0,1) skew= 0.0033 kurtosis= -0.0279 # 正規+右上がり skew= -0.4748 kurtosis= -0.4724 plt.hist(v, bins=50, normed=True, color='black', alpha=0.5) plt.grid() #グリット線を引いてくれる plt.xlabel('x') #x軸のラベル plt.ylabel('頻度') #y軸のラベル plt.title('正規分布+右上がり三角分布のヒストグラム') plt.show()
5e260fa16cb00b8d231a1285fe00b907654183c2
luka3117/toy
/py/山内 テキスト text sample code/ohm/ch7/list7-7.py
2,833
3.53125
4
# -*- coding: utf-8 -*- # List 7-7 出生率と死亡率の関係 import numpy as np import matplotlib.pyplot as plt import statsmodels.api as sm np.set_printoptions(precision=4) x = np.loadtxt('shusseiritsu.csv', delimiter=",") # CSVファイルからデータを読込む # 出典 http://www.mhlw.go.jp/toukei/saikin/hw/jinkou/suikei15/dl/2015suikei.pdf birth1 = [u[1] for u in x if u[0]<=1975] death1 = [u[2] for u in x if u[0]<=1975] birth2 = [u[1] for u in x if (1976<=u[0] and u[0]<=1989)] death2 = [u[2] for u in x if (1976<=u[0] and u[0]<=1989)] birth3 = [u[1] for u in x if 1990<=u[0]] death3 = [u[2] for u in x if 1990<=u[0]] model2 = sm.OLS(death2, sm.add_constant(birth2)) results2 = model2.fit() print(results2.summary()) b, a = results2.params print('1976~1989年 a=', a.round(4), 'b=', b.round(4), 'p値=', results2.pvalues) # 出力結果は # OLS Regression Results # ============================================================================== # Dep. Variable: y R-squared: 0.241 # Model: OLS Adj. R-squared: 0.178 # Method: Least Squares F-statistic: 3.813 # Date: Fri, 02 Feb 2018 Prob (F-statistic): 0.0746 # Time: 14:33:04 Log-Likelihood: 9.9691 # No. Observations: 14 AIC: -15.94 # Df Residuals: 12 BIC: -14.66 # Df Model: 1 # Covariance Type: nonrobust # ============================================================================== # coef std err t P>|t| [0.025 0.975] # ------------------------------------------------------------------------------ # const 6.6939 0.255 26.223 0.000 6.138 7.250 # x1 -0.0382 0.020 -1.953 0.075 -0.081 0.004 # ============================================================================== # Omnibus: 0.867 Durbin-Watson: 1.444 # Prob(Omnibus): 0.648 Jarque-Bera (JB): 0.486 # Skew: 0.434 Prob(JB): 0.784 # Kurtosis: 2.716 Cond. No. 97.7 # ============================================================================== # # Warnings: # [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. # # 1976~1989年 a= -0.0382 b= 6.6939 p値= [ 5.7855e-12 7.4589e-02]
afdc0cfdf6ac796e06cc2e1cd574cfb765b67eed
j2sdk408/misc
/mooc/algorithms_II/lsd_sort.py
2,265
3.625
4
""" implementation for least-signficant-digit-first string sort """ from str_custom import StringCustom class LsdSort(object): """class for LSD string sort""" def __init__(self, str_list): """initialization""" self.str_list = str_list self.sort() def __str__(self): """to string""" return "\n".join([str(x) for x in self.str_list]) def sort(self): """sort string""" # extra space for re-ordering reorder_list = [None] * len(self.str_list) # starts from the longest position max_len = max([x.length for x in self.str_list]) def map_idx(x): """calculate map index including None""" if x is None: return 0 else: return ord(x) + 1 # sort from right to left for char_idx in xrange(max_len - 1, -1, -1): # ascii map + None@1 + extra space@0 key_map = [0] * (128 + 1 + 1) # count frequency for idx in xrange(len(self.str_list)): curr_char = self.str_list[idx][char_idx] key_map[map_idx(curr_char) + 1] += 1 # culmulate map for idx in xrange(1, len(key_map)): key_map[idx] += key_map[idx - 1] # sort by copying to reorder list for idx in xrange(len(self.str_list)): curr_char = self.str_list[idx][char_idx] curr_map_idx = map_idx(curr_char) curr_key = key_map[curr_map_idx] key_map[curr_map_idx] += 1 reorder_list[curr_key] = self.str_list[idx] # copy back for idx, item in enumerate(reorder_list): self.str_list[idx] = item if __name__ == "__main__": import random max_len = 20 str_count = 30 str_list = [] # random gen for _ in xrange(str_count): curr_str = [] for _ in xrange(int(random.random() * max_len)): curr_char = chr(int(random.random() * 25) + 97) curr_str.append(curr_char) str_list.append("".join(curr_str)) sc_list = [StringCustom.from_str(x) for x in str_list] lsd = LsdSort(sc_list) print lsd
20fadd9ad05d61ed6b884287fd0cebdd0ae916e6
j2sdk408/misc
/mooc/algorithms_II/st_tst.py
4,503
3.734375
4
""" implementation for string symbol table with ternary search try """ class Node(object): """class for tri node""" MIDDLE = 0 LEFT = 1 RIGHT = 2 def __init__(self): """initialization""" self.value = None self.char = None # 0: middle # 1: left # 2: right self.node_list = [None] * 3 class StringST(object): """class for string-based symbol table""" def __init__(self): """initialization""" self.root_node = None def __str__(self): """to string""" out_list = [] return "\n".join(out_list) def put(self, key, value): """put key-value pair into the symbol table""" assert key.__class__ == str self.root_node = self.__class__.put_node( self.root_node, key, value, 0 ) def get(self, key): """return value paired with given key""" assert key.__class__ == str node = self.__class__.get_node(self.root_node, key, 0) if node is None: return None else: return node.value def delete(self, key): """delete key and corresponding value""" assert key.__class__ == str self.root_node = self.__class__.delete_node(self.root_node, key, 0) @classmethod def put_node(cls, curr_node, key, value, d): """put key value to node, currently scanning position d""" curr_char = key[d] if curr_node is None: curr_node = Node() curr_node.char = curr_char if curr_char < curr_node.char: curr_node.node_list[Node.LEFT] = cls.put_node( curr_node.node_list[Node.LEFT], key, value, d ) elif curr_char > curr_node.char: curr_node.node_list[Node.RIGHT] = cls.put_node( curr_node.node_list[Node.RIGHT], key, value, d ) elif d < len(key) - 1: curr_node.node_list[Node.MIDDLE] = cls.put_node( curr_node.node_list[Node.MIDDLE], key, value, d + 1 ) else: curr_node.value = value return curr_node @classmethod def get_node(cls, curr_node, key, d): """get key @ position d""" curr_char = key[d] if curr_node is None: return None if curr_char < curr_node.char: return cls.get_node( curr_node.node_list[Node.LEFT], key, d ) elif curr_char > curr_node.char: return cls.get_node( curr_node.node_list[Node.RIGHT], key, d ) elif d < len(key) - 1: return cls.get_node( curr_node.node_list[Node.MIDDLE], key, d + 1 ) else: return curr_node @classmethod def delete_node(cls, curr_node, key, d): """delete key and corresponding value""" curr_char = key[d] if curr_node is None: return None if curr_char < curr_node.char: curr_node.node_list[Node.LEFT] = cls.delete_node( curr_node.node_list[Node.LEFT], key, d ) elif curr_char > curr_node.char: curr_node.node_list[Node.RIGHT] = cls.delete_node( curr_node.node_list[Node.RIGHT], key, d ) elif d < len(key) - 1: curr_node.node_list[Node.MIDDLE] = cls.delete_node( curr_node.node_list[Node.MIDDLE], key, d + 1 ) else: curr_node.value = None # check if any link exists in current node for node in curr_node.node_list: if node is not None: return curr_node # check if current node holds value if curr_node.value is not None: return curr_node else: return None if __name__ == "__main__": st = StringST() st.put("shell", 2) st.put("apple", 123) print st.get("shell") print st.get("apple") st.delete("shell") print st.get("shell")
e671953c188a7d380130aa00f48a25ccbf099ad5
j2sdk408/misc
/mooc/algorithms_II/msd_sort.py
2,709
3.546875
4
""" implementation for least-signficant-digit-first string sort """ from str_custom import StringCustom class MsdSort(object): """class for MSD string sort""" def __init__(self, str_list): """initialization""" self.str_list = str_list self._aux_list = [None] * len(self.str_list) self.sort(0, len(self.str_list) - 1, 0) def __str__(self): """to string""" return "\n".join([str(x) for x in self.str_list]) @staticmethod def map_idx(x): """calculate map index including None""" if x is None: return 0 else: return ord(x) + 1 def sort(self, idx_st, idx_end, char_idx): """sort string""" # terminate whtn index overlap if idx_st >= idx_end: return # ascii map + None@1 + extra space@0 key_map = [0] * (128 + 1 + 1) key_map2 = [0] * (128 + 1 + 1) # count frequency char_found = False for idx in xrange(idx_st, idx_end + 1): curr_char = self.str_list[idx][char_idx] if curr_char is not None: char_found = True key_map[self.map_idx(curr_char) + 1] += 1 key_map2[self.map_idx(curr_char) + 1] += 1 # terminate when no char to be found if not char_found: return # culmulate map for idx in xrange(1, len(key_map)): key_map[idx] += key_map[idx - 1] # sort by copying to reorder list for idx in xrange(idx_st, idx_end + 1): curr_char = self.str_list[idx][char_idx] curr_map_idx = self.map_idx(curr_char) curr_key = key_map[curr_map_idx] key_map[curr_map_idx] += 1 self._aux_list[curr_key] = self.str_list[idx] # copy back for idx in xrange(idx_st, idx_end + 1): self.str_list[idx] = self._aux_list[idx - idx_st] # sort recursively toward right next_start = 0 for count in key_map2: if count != 0: self.sort( idx_st + next_start, idx_st + next_start + count - 1, char_idx + 1 ) next_start += count if __name__ == "__main__": from lsd_sort import LsdSort sc_list = StringCustom.from_str( "itwasbestitwasw" ).suffixes() msd = MsdSort(sc_list) lrs = StringCustom.from_str("") for idx in xrange(len(sc_list) - 1): curr_len = msd.str_list[idx].lcp(msd.str_list[idx + 1]) if curr_len > lrs.length: lrs = msd.str_list[idx].substring(0, curr_len - 1) print lrs
8829a7674ab5b9cdd3b0e5e54f28611912b206d8
j2sdk408/misc
/mooc/algorithms_II/pathes.py
858
3.734375
4
""" implementation of graph algorithms """ class Pathes(object): """class for path searching""" def __init__(self): """initializer""" self.s = 0 @classmethod def from_graph(cls, G, s): """find pathes in G grom source s""" p = cls() p.s = s assert s < G.V() assert s >= 0 return p def has_path_to(self, v_in): """is theree a path from s to v""" return False def path_to(self, v_in): """path from s to v; null if no such path""" return None def print_path(self, v_count): """print path""" for v in xrange(v_count): print "%s: %s" % (v, self.path_to(v)) if __name__ == "__main__": import sys file_name = sys.argv[1] G = Graph.from_file(file_name) P = Pathes.from_graph(G, 0)
02307d05d584281dd61948087f1ed8fc6853dafd
chitritha/python-project
/finalProj_cnalluru_07.py
5,965
3.890625
4
""" Program: Commodity Data Filtering Final Author: Nalluru Chitritha Chowdary Description: This program is used to filter and represent data based on user inputs Revisions: 00 - Importing CSV, datetime and plotly modules 01 - Printing announcement 02 - Import data from CSV file and change into required format 03 - Compiling list of all Commodities, dates and locations in dictionaries 04 - Asking user input on the commodities, dates and locations required 05 - Filtering out the records based on the user criteria 06 - Creating a dict with commodities and locations as key and average of the prices as values 07 - Plotting the data using plotly """ ### Step 1 - Importing CSV, datetime and plotly modules import csv import itertools import sys from _datetime import datetime import plotly.offline as py import plotly.graph_objs as go ### Step 2 - Printing announcement print('=' * 26, '\nAnalysis of Commodity Data\n', '=' * 26, '\n', sep='') ### Step 3 - Import data from CSV file and change into required format data = [] csvfile = open('produce_csv.csv', 'r') reader = csv.reader(csvfile) for row in reader: if reader.line_num == 1: locations = row[2:] else: for location, value in zip(locations, row[2:]): # iterate through locations and values row_num = len(data) # index for the data row data.append(row[:1]) # new data row: commodity data[row_num].append(datetime.strptime(row[1], '%m/%d/%Y')) # append date data[row_num].append(location) # append location data[row_num].append(float(value.replace('$', ''))) # append price value csvfile.close() ### Step 4 - Compiling list of all Commodities, dates and locations in dictionaries commList = dict() for num, commodity in enumerate(sorted(set(x[0] for x in data))): commList[num] = commodity # Creating dict with index as keys and commodity as values dateList = dict() for num, date in enumerate(sorted(set(x[1] for x in data))): dateList[num] = date.strftime('%Y-%m-%d') # Creating dict with index as keys and dates in string format as values locList = dict() for num, location in enumerate(sorted(locations)): locList[num] = location # Creating dict with index as keys and locations as values ### Step 5 - Asking user input on the commodities, dates and locations required print("SELECT PRODUCTS BY NUMBER ...") for i in commList: # Printing all commodities 3 a line if (i + 1) % 3 == 0: print(f"<{i:2}> {commList[i]:20}") else: print(f"<{i:2}> {commList[i]:20}", end='') try: products = [commList[int(p.replace('<> ', ''))] for p in input("\nEnter product numbers separated by spaces: ").split()] # Taking and validation user inputs except TypeError as t: print("\nInvalid input. Please enter a valid number from 0 to 21.") sys.exit() print("\nSelected products: ", end='') print(*products, sep=" ") print("\nSELECT DATE RANGE BY NUMBER ...") for i in dateList: # Printing all dates 5 a line if (i + 1) % 5 == 0: print(f"<{i:2}> {dateList[i]:<10}") else: print(f"<{i:2}> {dateList[i]:<10}", end='\t') print(f"\nEarliest available date is: {min(dateList.values())}" f"\nLatest available date is: {max(dateList.values())}\n") try: # Validating date input startDate, endDate = map( int, input("Enter start/end date numbers separated by a space: ").split()) except TypeError as t: print('Invalid input. Please try again') sys.exit() except ValueError as v: print("Please enter only 2 values: Start date and End Date") sys.exit() if not (not (endDate < startDate) and not (endDate < 0) and not (endDate > 52) and not (startDate < 0) and not ( endDate > 52) and not (startDate == '')) or endDate == '': raise Exception("The start date cannot be greater than end date. Please enter a valid number between 0 and 52") print(f"\nDates from {dateList[startDate]} to {dateList[endDate]}\n") dates = [datetime.strptime(dateList[n], '%Y-%m-%d') for n in range(startDate, endDate + 1)] # print(dates) print("SELECT LOCATIONS BY NUMBER ...") for i in locList: # Printing all locations print(f"<{i}> {locList[i]}") try: selLocations = [locList[int(l)] for l in input("\nEnter location numbers separated by spaces: ").split()] # Taking and validation user inputs except TypeError as t: print("Please enter a valid number between 0 and 4") sys.exit() print("\nSelected locations: ", end='') print(*selLocations, sep=" ") ### Step 6 - Filtering out the records based on the user criteria select = list(filter(lambda a: a[0] in products and a[1] in dates and a[2] in selLocations, data)) print(len(select), "records have been selected.") ### Step 7 - Creating a dict with commodities and locations as key and average of the prices as values pltData = dict() for x in itertools.product(products, selLocations): priceList = [i[3] for i in select if i[0] == x[0] and i[2] == x[1]] if len(priceList) > 0: pltData[x] = sum(priceList) / len(priceList) ### Step 8 - Plotting the data using plotly plt = [None] * len(selLocations) for i, loc in enumerate(selLocations): # Creating list of lists with the required information plt[i] = go.Bar( x=products, y=[pltData[y] for y in pltData.keys() if y[1] == loc], name=loc ) layout = go.Layout( barmode='group' ) fig = go.Figure(data=plt, layout=layout) # Adding a title to the x axis, y axis and chart fig.update_layout(title_text=f'Produce Prices from {dateList[startDate]} through {dateList[endDate]}', xaxis=dict(title='Product'), yaxis=dict(title='Average Price', tickformat="$.2f")) # formatting the y axis values py.plot(fig, filename='final-proj.html')
94a97edaa66c9527fc133ec3c33386a5410968ba
biradarshiv/Python
/CorePython/24_String_Formatting.py
1,464
4.46875
4
""" The format() method allows you to format selected parts of a string. Sometimes there are parts of a text that you do not control, maybe they come from a database, or user input? To control such values, add placeholders (curly brackets {}) in the text, and run the values through the format() method: """ print("# First example") price = 49 txt = "The price is {} dollars" print(txt.format(price)) print("# Format the price to be displayed as a number with two decimals") price = 49 txt = "The price is {:.2f} dollars" print(txt.format(price)) print("# Multiple Values") quantity = 3 itemno = 567 price = 49 myorder = "I want {} pieces of item number {} for {:.2f} dollars." print(myorder.format(quantity, itemno, price)) print("# EOF") # You can use index numbers (a number inside the curly brackets {0}) # to be sure the values are placed in the correct placeholders quantity = 3 itemno = 567 price = 49 myorder = "I want {0} pieces of item number {1} for {2:.2f} dollars." print(myorder.format(quantity, itemno, price)) age = 36 name = "John" txt = "His name is {1}. {1} is {0} years old." print(txt.format(age, name)) print("# Named Indexes") # You can also use named indexes by entering a name inside the curly brackets {carname}, # but then you must use names when you pass the parameter values txt.format(carname = "Ford") myorder = "I have a {carname}, it is a {model}." print(myorder.format(carname = "Ford", model = "Mustang")) print("# EOF")
6ef55a33502d489e160f6b1109182584a17b792b
biradarshiv/Python
/CorePython/1Introduction_Comments.py
1,466
4.03125
4
""" Python is a programming language. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python uses indentation to indicate a block of code. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly brackets for this purpose. Run below in command line # To get to know the python version installed in our system python --version # Save the file containing code with an extension of .py and run it with below command python helloworld.py """ # Indentation Matters if 5 > 2: print("Five is greater than two!") # Even though the indentation space is different it has to be the same to consider it as a block # Even a single space will do as a indentation. Atleast one space should be there to start a block if 6 > 2: print("Six is greater than two!") print("This will also print because of same indentation") # Variables # In Python variables are created the moment you assign a value to it. Python has no command for declaring a variable. x = 5 y = "Hello, World!" print(x) print(y) # Single line comment is # and multiline comment is in the middle of 3 double quotes 'Single line comment' """ Multiple Line Comment """
a36c60c380517b1e6b6d146669e9b93cf797fbcd
biradarshiv/Python
/CorePython/13_ClassObject.py
2,393
4.25
4
""" Python is an object oriented programming language. Almost everything in Python is an object, with its properties and methods. A Class is like an object constructor, or a "blueprint" for creating objects. """ print("# Create a class and access a property in it") class MyClass: x = 5 print(MyClass) p1 = MyClass() print(p1.x) print("# __init__() Function") print(""" All classes have a function called __init__(), which is always executed when the class is being initiated. Use the __init__() function to assign values to object properties, or other operations that are necessary to do when the object is being created:""") class Person: def __init__(self, name, age): self.name = name self.age = age p1 = Person("John", 36) print(p1.name) print(p1.age) print("# Object Methods") # Objects can also contain methods. Methods in objects are functions that belong to the object. # Note: The self parameter is a reference to the current instance of the class, # and is used to access variables that belong to the class. class Person: def __init__(self, name, age): self.name = name self.age = age def myfunc(self): print("Hello my name is " + self.name) p1 = Person("John", 36) p1.myfunc() print("# The self Parameter") """The self parameter is a reference to the current instance of the class, and is used to access variables that belongs to the class. It does not have to be named self , you can call it whatever you like, but it has to be the first parameter of any function in the class:""" class Person: def __init__(mysillyobject, name, age): mysillyobject.name = name mysillyobject.age = age def myfunc(abc): print("Hello my name is " + abc.name) p1 = Person("John", 36) p1.myfunc() print("# Delete Object Properties") class Person: def __init__(self, name, age): self.name = name self.age = age def myfunc(self): print("Hello my name is " + self.name) p1 = Person("John", 36) del p1.age # print(p1.age) # This will throw error, since this property of the object is deleted in the above line print("# Delete Objects") class Person: def __init__(self, name, age): self.name = name self.age = age def myfunc(self): print("Hello my name is " + self.name) p1 = Person("John", 36) del p1 # print(p1) # This will throw error, since this complete object is deleted in the above line print("# EOF")
3edbceaa1a25e81edc5e284886f8a74ed0b875cc
szoto1/python101
/day03.py
3,946
3.625
4
# # # # # wiek = input("Ile masz lat?") # # # # # koty = input("Ile masz kotów?") # # # # # # # # # wiek = 2 # # # # # koty = 5 # # # # # # # # # zdanie = "Ala ma 2 lata i posiada 5 kotów." # # # # # zdanie = "Ala ma " + str(wiek) + " lata i posiada " + str(koty) + " kotów." # # # # # zdanie = f"Ala ma {wiek} lata i posiada {koty} kotów." # # # # # zdanie = "Ala ma {} lata i posiada {} kotów.".format(wiek, koty) # # # # # zdanie = "Ala ma {a} lata i posiada {b} kotów.".format(b=koty, a=wiek) # # # # # print(zdanie) # # # # # # # # # liczba = 1.234 # # # # # print("liczba: %s" % liczba) # 1.234 (string rep.) # # # # # print("liczba: %f" % liczba) # 1.234000 (float) # # # # # print("liczba: %0.10f" % liczba) # 1.2340000000 (float z precyzją) # # # # # print("liczba: %0.1f" % liczba) # 1.2 (float z precyzją/zaokrąlenie) # # # # # print("liczba: %d" % liczba) # 1 (całkowita) # # # # # # # # # 012345678901 # # # # # zdanie_master = "encyklopedia" # # # # # zdanie = zdanie_master[4] # k # # # # # zdanie = zdanie_master[-3] # d # # # # # zdanie = zdanie_master[2:8] # cyklop # # # # # zdanie = zdanie_master[:7] # encyklo # # # # # zdanie = zdanie_master[8:] # edia # # # # # zdanie = zdanie_master[1:7:2] # nyl # # # # # zdanie = zdanie_master[::-1] # aidepolkycne # # # # # print(zdanie) # # # # # # # # # print("Start") # # # # # zmienna_a = False # # # # # if(zmienna_a): # # # # # print("Prawda") # # # # # else: # # # # # print("Fałsz") # # # # # print("Koniec") # # # # # # # # # print("Sprawdzenie parzystości liczb") # # # # # liczba = int(input("Podaj liczbę: ")) # # # # # # liczba = 2 # # # # # if(liczba%2==0): # # # # # print("Liczba parzysta.") # # # # # else: # # # # # print("Liczba nieparzysta.") # # # # # print("Koniec.") # # # # # # # # # print("Sprawdzenie podzielnosci przez 3 i 5") # # # # # liczba = int(input("Podaj liczbę: ")) # # # # # # liczba = 15 # # # # # # # # # # if (liczba%3==0 and liczba%5==0): # # # # # print("Liczba podzielna przez 3 i przez 5") # # # # # elif liczba%3==0: # # # # # print("Liczba podzielna przez 3") # # # # # elif liczba%5==0: # # # # # print("Liczba podzielna przez 5") # # # # # else: # # # # # print("Liczba niepodzielna przez 3 i 5") # # # # # print("Koniec.") # # # # # # # # # # wyrazy = ("raz", "dwa", "trzy") # krotka == tuple - nie można edytować # # # # # wyrazy = ["raz", "dwa", "trzy"] # list - lista, można edytować # # # # # wyrazy[0] = "jeden" # # # # # print(wyrazy) # # # # # # # # # liczby_parzyste = range(0,20,2) # # # # # # if 10 in liczby_parzyste: # # # # # # print("Prawda") # # # # # # else: # # # # # # print("Fałsz") # # # # # lista_liczb_parzystych = list(liczby_parzyste) # # # # # print((lista_liczb_parzystych)) # # # # # lista_liczb_parzystych = tuple(liczby_parzyste) # # # # # print((lista_liczb_parzystych)) # # # # # # # # napis = "dwa" # # # # lista = list(napis) # ['d', 'w', 'a'] # # # # print(lista) # # # # lista = (napis) # dwa # # # # print(lista) # ['d', 'w', 'a'] # # # # # # lista_zakupow = ["kiełbasa", "piwko", "chipsy", "węgiel", "kubeczki"] # # # print(lista_zakupow) # # # lista_zakupow.append("talerzyki") # # # print(lista_zakupow) # # # lista_zakupow.insert(0, "grill") # # # print(lista_zakupow) # # # lista_zakupow[0] = "elektryczny grill" # # # print(lista_zakupow) # # # lista_zakupow.remove("piwko") # # # print(lista_zakupow) # # # if "vodka" in lista_zakupow: # # # lista_zakupow.remove("vodka") # # # else: print("Brak vodki") # # # # # # del(lista_zakupow[1]) # # # print(lista_zakupow) # # # # print("Start") # # liczba = 1 # # while liczba < 5: # # print(liczba) # # liczba = liczba + 1 # # print("Koniec") # # # # lista_liczb = [1,2,3,4] # for liczba in lista_liczb: # print(liczba) # if liczba==2: # break # # for litera in "jakies zdanie": # print(litera)
50d9dd353abba8ec79d57f9603db650e5756fae9
sathishkumar-smart/Sathish-kumar
/grap.py
286
3.796875
4
import turtle colors = [ "red","purple","blue","green","orange","yellow","white","brown","violet"] my_pen = turtle.Pen() turtle.bgcolor("black") for i in range(360): my_pen.pencolor(colors[i % 9]) my_pen.width(i/50 + 1) my_pen.forward(i) my_pen.left(65)
3446b3c1b5cb77bc60d2c5709e91d8656c3447ea
Nicholas-Swift/Data-Structures
/set.py
5,193
3.859375
4
# A Hash Table from linkedlist import LinkedList class Set(object): def __init__(self, init_size=8): """Initialize this hash table with the given initial size""" # Best: Omega(1) # Worst: O(n) (init size) self.buckets = [LinkedList() for i in range(init_size)] self.entries = 0 self.load = self.entries / len(self.buckets) self.max_load = 2/float(3) def __repr__(self): """Return a string representation of this hash table""" return 'HashTable({})'.format(self.length()) def __contains__(self, key): """Does it contain the item""" # Best: Omega(1) # Worst: O(n) (number of items in bucket) return self.contains(key) def __iter__(self): """Iterate through the hash table""" # Best: Omega(1) # Worst: O(1) for bucket in self.buckets: if bucket: for item in bucket: yield item def _update_entries(self, number_added): """Update the number of entries and update the load, resize if needed""" # Best: Omega(1) # Worst: O(1) self.entries += number_added self.load = self.entries / float(len(self.buckets)) if self.load > self.max_load: self._resize_up() def _resize_up(self): """The load factor is greater than 0.75! Resize and Rehash! Resize and Rehash it all!""" # Best: Omega(n) # Worst: O(n) new_length = len(self.buckets)*2 # Create new buckets list, recalculate load with new_length new_buckets = [LinkedList() for i in range(new_length)] self.load = self.entries / float(new_length) # Iterate through current items and add to new buckets for item in self.__iter__(): index = hash(item) % new_length new_buckets[index].append(item) self.buckets = new_buckets return def _resize_down(self): """Resize down! There are too many buckets and too little entries. Resize and Rehash!""" # Best: Omega(n) # Worst: O(n) new_length = self.entries * 2 # Create new buckets list, recalculate load with new_length new_buckets = [LinkedList() for i in range(new_length)] self.load = self.entries / float(new_length) # Iterate through current items and add to new buckets for item in self.__iter__(): index = hash(item) % new_length new_buckets[index].append(item) self.buckets = new_buckets return def _bucket_index(self, key): """Return the bucket index where the given key would be stored""" # Best: Omega(1) # Worst: O(1) return hash(key) % len(self.buckets) def _bucket(self, key): """Return the bucket where the given key would be stored""" # Best: Omega(1) # Worst: O(1) index = self._bucket_index(key) return self.buckets[index] def length(self): """Return the length of this hash table""" # Best: Omega(1) # Worst: O(1) return self.entries def contains(self, key): """Return True if this hash table contains the given key, or False""" # Best: Omega(1) # Worst: O(n) (number of items in bucket) bucket = self._bucket(key) for item_key, item_value in bucket: if key == item_key: return True return False def add(self, item): """Insert the given item to the set""" # Best: Omega(1) # Worst: Omega(1) bucket = self._bucket(item) bucket_item = bucket.find(lambda x: x == item) if bucket_item is None: bucket.append(item) self._update_entries(1) def remove(self, item): """Delete the given item from this hash table, or raise KeyError""" # Best: Omega(1) # Worst: O(n) bucket = self._bucket(item) bucket_item = bucket.find(lambda x: x == item) if bucket_item is not None: bucket.delete(item) self._update_entries(-1) return else: raise KeyError('Item is not in HashTable') def items(self): """Return a list of all items in this hash table""" # Best: Omega(n) (number of items in hash table) # Worst: O(n) items = [] for item in self.__iter__(): items.append(item) return items def shrink(): """Let user shrink the hash table to fit""" # Best: Omega(n) # Worst: O(n) self._resize_down() return def clear(self): """Empty the Linked List""" # Best: Omega(1) # Worst: O(n) (number of buckets) for i, bucket in enumerate(self.buckets): if bucket: self.buckets[i] = LinkedList() self.entries = 0 self.load = 0 def test_hash_table(): ht = HashTable() ht.set('1', 1) ht.set('2', 1) ht.set('3', 1) for i in ht.buckets: print(i) if __name__ == '__main__': test_hash_table()
4ff11193a8c26d84d00ba20d3fab03525b980fa9
Nicholas-Swift/Data-Structures
/test_deque.py
2,267
3.765625
4
#!python from deque import Deque import unittest class QueueTest(unittest.TestCase): def test_init(self): q = Deque() assert q.peekLeft() is None assert q.peekRight() is None assert q.length() == 0 assert q.is_empty() is True def test_init_with_list(self): q = Deque(['A', 'B', 'C']) assert q.peekLeft() == 'A' assert q.peekRight() == 'C' assert q.length() == 3 assert q.is_empty() is False def test_length_with_push_and_pop_right(self): q = Deque() assert q.length() == 0 q.pushRight('A') assert q.length() == 1 q.pushRight('B') assert q.length() == 2 q.popRight() assert q.length() == 1 q.popRight() assert q.length() == 0 def test_length_with_push_and_pop_left(self): q = Deque() assert q.length() == 0 q.pushLeft('A') assert q.length() == 1 q.pushLeft('B') assert q.length() == 2 q.popLeft() assert q.length() == 1 q.popLeft() assert q.length() == 0 def test_length_with_push_and_pop_left_and_right(self): q = Deque() assert q.length() == 0 q.pushRight('A') assert q.length() == 1 q.pushLeft('B') assert q.length() == 2 q.popRight() assert q.length() == 1 q.popLeft() assert q.length() == 0 def test_peek_left_and_right(self): q = Deque() assert q.peekLeft() is None q.pushRight('A') assert q.peekLeft() == 'A' assert q.peekRight() == 'A' q.pushRight('B') assert q.peekLeft() == 'A' assert q.peekRight() == 'B' q.popRight() assert q.peekRight() == 'A' q.popRight() assert q.peekLeft() is None def test_push_right_and_left(self): q = Deque() q.pushLeft('A') q.pushRight('B') assert q.peekLeft() == 'A' assert q.peekRight() == 'B' q.pushRight('C') assert q.peekLeft() == 'A' assert q.peekRight() == 'C' q.pushLeft('Z') assert q.peekLeft() == 'Z' assert q.peekRight() == 'C' if __name__ == '__main__': unittest.main()
0abe423a5725967d6b813d2c72571fb1d5b96773
Junrongh/15-619-CloudComputing
/Project1_1/q5.py
1,235
3.8125
4
#!/usr/bin/env python3 import pandas as pd import json from csv import QUOTE_NONE def main(): """ Please search and read the following docs to understand the starter code. pandas.read_table 1) With 'squeeze=True', pandas.read_table returns a Series instead of a DataFrame. 2) Without 'quoting=QUOTE_NONE', the following records will be interpreted to share the same title 'Wild_Bill_Hickok': "Wild_Bill"_Hickok 63 Wild_Bill_Hickok 40 3) Without 'keep_default_na=False', the following records will be interpreted to numpy.nan (Not a Number): NaN 13 pandas.Index.tolist to convert the indexes to a list TODO: * Slice the top 3 articles * Convert the indexes as a list * Dump the list as a JSON array * Print the JSON array to StdOut """ navalues=['nan'] s = pd.read_table('output', header=None, index_col=0, squeeze=True, quoting=QUOTE_NONE, keep_default_na=False, na_values=navalues, encoding='utf-8') d = pd.Index.tolist(s.sort_values(ascending = False).head(3).index) print(json.dumps(d)) if __name__ == "__main__": main()
5b23f87d82b4596860ca67e2d6232e4207f053a9
kanosaki/picbot
/picbot/utils/__init__.py
824
3.5
4
import itertools def uniq(*iters): """Make unique iterator with preserving orders. """ return UniqueIterator(itertools.chain(*iters)) class UniqueIterator(object): def __init__(self, source): self.source = source self._history = set() def __iter__(self): return self def __next__(self): next_candidate = next(self.source) while next_candidate in self._history: next_candidate = next(self.source) self._history.add(next_candidate) return next_candidate class AttrAccess(dict): def __getattr__(self, key): try: v = self[key] if isinstance(v, dict): return AttrAccess(**v) else: return v except KeyError: raise AttributeError(key)
8f6472d4db42afc132521b63df85977a06582164
SociallyAwkwardTurtle/Python
/Vestluskaaslane.py
398
3.96875
4
print("Hello world!") print("I am Thonny!") print("What is your name?") myName = input() print("Hello, " + myName + ", it's nice to meet you!") print("How old are you?") input() print("Oh, that's nice!") from random import * a = (randint(2, 5)) if a == 2: a=("two") elif a == 3: a=("three") elif a == 4: a=("four") elif a == 5: a=("five") print ("I am only " + a + " years old.")
f0d4e56573bf9b971b561a94b472facc155ebb35
ajboxjr/CS-2-Tweet-Generator
/class7/data-structure/linkedlist.py
7,118
4.21875
4
class Node(object): def __init__(self, data): """Initialize the node with a data and a pointer(next)""" self.data = data self.next = None def __repr__(self): """Return a string representation of this node.""" return 'Node({!r})'.format(self.data) """ TO lower space time complexity added abstract len function(self.len) """ class LinkedList(object): """Initialize this linked list and append the given items, if any.""" def __init__(self, items=None): self.head = None self.tail = None #Alternative way of calculating length/ rather than itteration self.len = 0 if items is not None: for item in items: self.append(item) def __str__(self): """Return a formatted string representation of this linked list.""" items = ['({!r})'.format(item) for item in self.items()] return '[{}]'.format(' -> '.join(items)) def __repr__(self): """Return a string representation of this linked list.""" return 'LinkedList({!r})'.format(self.items()) def __iter__(self): """Returning the start node for the self""" self.node = self.head return self def __next__(self): """Return the current node in instance of the linked list """ # Kaichi # 1. set current node as variable # update the itterator to next node(for next update) # 2. current node if self.node is not None: node = self.node self.node = self.node.next return node else: raise StopIteration def items(self): """Return a list (dynamic array) of all items in this linked list. Best and worst case running time: O(n) for n items in the list (length) because we always need to loop through all n nodes to get each item.""" items = [] # O(1) time to create empty list # Start at head node # Loop until node is None, which is one node too far past tail for node in self: # Always n iterations because no early return items.append(node.data) # O(1) time (on average) to append to list # Skip to next node to advance forward in linked list # Now list contains items from all nodes return items # O(1) time to return list def is_empty(self): """Return a boolean indicating whether this linked list is empty.""" return self.head is None and self.tail is None def append(self,data): """Add Node with data to the end of linked list and set to tail""" if self.is_empty(): # setting tail and head to Node self.head = Node(data) self.tail = self.head self.len +=1 else: #Use self.tail to elimitate itterating #1. Create Node #2. Set tail.next to Node #3. Set tail to node last = self.tail node = Node(data) last.next = node self.tail = node self.len += 1 print(self) def prepend(self,data): """Add Node to begining of Linkelist. Set it to head""" if self.is_empty(): self.head = Node(data) self.tail = self.head self.len += 1 else: #1. Create a node #2. Set node next to head #3. Set head to the node new = Node(data) self.len += 1 new.next = self.head self.head = new def replace(self,item, quality): """Find item and set it's prev(if one) to item and item prev.next to item""" curr = self.head while curr: if quality(curr.data): curr.data = item return True else: curr = curr.next return False def find(self, quality): for node in self: if quality(node.data): #Node(data)[0] return node.data return None def delete(self,item): """Delete a node based on it's data value""" #Delete first node if self.is_empty(): return ValueError else: if self.head.data == item: self.head = self.head.next self.len -=1 if self.head == None: self.tail = None return "Deleted first node" #The other nodes else: #IF item found prev.next will be set to curr.next(erasing the node) prev = self.head curr = prev.next while curr is not None: print("prev {} , cur {}".format(prev.data, curr.data)) if curr.data == item: prev.next = curr.next self.len -=1 if prev.next == None: self.tail = prev return "deleted {}".format(curr) else: prev = prev.next curr = prev.next if curr == None: self.tail = None else: print("{} is not in the linkedlist".format(item)) return ValueError def get_node(self, index): """(ABstract). Get element based on index.""" if self.is_empty(): return -1 else: if index == 0: return self.head else: x = 0 curr = self.head while x < index: if curr.next != None: print(curr.data) curr = curr.next x+=1 else: print("index out of bounds") return -2 print(curr.data) return curr def length(self): """Return the legth of the code""" """ This solution is O(N) idx = 0 for _ in self: idx +=1 return idx """ return self.len def test_linked_list(): ll = LinkedList() print('list: {}'.format(ll)) print('\nTesting append:') for item in ['A', 'B', 'C']: print('append({!r})'.format(item)) ll.append(item) print('list: {}'.format(ll)) print('head: {}'.format(ll.head)) print('tail: {}'.format(ll.tail)) print('length: {}'.format(ll.length())) # Enable this after implementing delete method delete_implemented = True if delete_implemented: print('\nTesting delete:') for item in ['B', 'C', 'A']: print('delete({!r})'.format(item)) ll.delete(item) print('list: {}'.format(ll)) print('head: {}'.format(ll.head)) print('tail: {}'.format(ll.tail)) print('length: {}'.format(ll.length())) if __name__ == '__main__': test_linked_list()
d11e5c2dd401e69ba65f98f2557fb496ff1e1a47
trivedisorabh/Triangle-Symmetries-with-Python-Turtle
/triangle_symmetry_turtle..py
4,097
4.03125
4
import turtle import tkinter as tk screen = turtle.Screen() class Label(turtle.Turtle): def __init__(self, coordinates=None, screen=screen): turtle.Turtle.__init__(self) if coordinates is None: self.coordinates = [0, 0] else: self.coordinates = coordinates self.text = "" self.color("white") self.coordinates = coordinates self.hideturtle() self.penup() self.screen = screen def show(self, message, alignment="center", size=18): self.screen.tracer(0) self.clear() self.goto(self.coordinates) self.write( message, font=("Helvetica", size), align=alignment, ) self.screen.tracer(1) def show_labels(vertices): global label1, label2, label3 label1.show(vertices[0]) label2.show(vertices[1]) label3.show(vertices[2]) def clear_labels(): global label1, label2, label3 label1.clear() label2.clear() label3.clear() def reset(): global vertices vertices = ["A", "B", "C"] show_labels(vertices) def rotate_clockwise(): global vertices temp = vertices[-1] for i in range(len(vertices) - 1, 0, -1): vertices[i] = vertices[i - 1] vertices[0] = temp update_rotation("clockwise") def rotate_anticlockwise(): global vertices temp = vertices[0] for i in range(len(vertices) - 1): vertices[i] = vertices[i + 1] vertices[-1] = temp update_rotation("anticlockwise") def reflect_A(): global vertices b_pos = vertices.index("B") c_pos = vertices.index("C") vertices[b_pos], vertices[c_pos] = ( vertices[c_pos], vertices[b_pos], ) update_reflection() def reflect_B(): global vertices a_pos = vertices.index("A") c_pos = vertices.index("C") vertices[a_pos], vertices[c_pos] = ( vertices[c_pos], vertices[a_pos], ) update_reflection() def reflect_C(): global vertices a_pos = vertices.index("A") b_pos = vertices.index("B") vertices[a_pos], vertices[b_pos] = ( vertices[b_pos], vertices[a_pos], ) update_reflection() def update_rotation(direction): global triangle clear_labels() if direction == "clockwise": triangle.right(120) else: triangle.left(120) show_labels(vertices) def update_reflection(): global triangle clear_labels() show_labels(vertices) def make_button(canvas, text, command): return tk.Button( canvas.master, font=("Helvetica", 12), text=text, background="hotpink", foreground="white", bd=0, command=command, ) def create_button(canvas, x, y, text, command): canvas.create_window( x, y, window=make_button(canvas, text, command) ) if __name__ == "__main__": screen.setup(500, 600) screen.title("Symmetries of an Equilateral Triangle") screen.bgcolor("blue") canvas = screen.getcanvas() label1 = Label([-85, -55]) label2 = Label([0, 75]) label3 = Label([85, -55]) triangle = turtle.Turtle("triangle") triangle.shapesize(120 / 20) triangle.color("hotpink") triangle.right(30) canvas = screen.getcanvas() create_button(canvas, 0, -250, "Reset", reset) create_button( canvas, 0, -150, "Rotate 120° clockwise", rotate_clockwise, ) create_button( canvas, 0, -200, "Rotate 120° anticlockwise", rotate_anticlockwise, ) create_button( canvas, 0, 100, "Reflect about perp. bisector of BC", reflect_A, ) create_button( canvas, 0, 150, "Reflect about perp. bisector of AC", reflect_B, ) create_button( canvas, 0, 200, "Reflect about perp. bisector of AB", reflect_C, ) vertices = ["A", "B", "C"] show_labels(vertices) turtle.done()
b20a049364c8648b65d06340a2cdd1613ff9c5ec
chris31513/haskell-pearls
/Python/criptoaritmos.py
3,745
3.546875
4
#Christian Rodrigo Garcia Gomez #Decidí usar Python por que se me facilita mucho más pensar el código en este lenguaje. #Especificamente para este problema es más sencillo usar Python porque resulta más claro a la hora de trabajar con listas. import random import sys import gc sys.setrecursionlimit(30000000) def criptoaritmos(string): return generate_valid_tuples(string) def split_string(string): gc.collect() if(check_valid_string(string)): return merge_splits(split_in_math_symbol(string), split_in_eq_symbol(string)) else: raise Exception("La cadena '{}' no es valida".format(string)) def get_math_symbol(string): if("+" in string): return "+" elif("*" in string): return "*" elif("-" in string): return "-" else: raise Exception("La cadena '{}' no es valida".format(string)) def split_in_math_symbol(string): gc.collect() return string.replace(" ", "").split(get_math_symbol(string)) def split_in_eq_symbol(string): gc.collect() return split_in_math_symbol(string)[1].split("=") def merge_splits(list1, list2): gc.collect() return list1[0:len(list1) - 1] + list2 def get_inits(string): gc.collect() return get_inits_aux(split_string(string), list()) def get_inits_aux(splitted_string, list_aux): gc.collect() if(splitted_string == []): return list_aux else: list_aux.append(splitted_string[0][0]) return get_inits_aux(splitted_string[1:len(splitted_string)], list_aux) def to_int(splitted_string, inits): gc.collect() return to_int_aux("".join(set("".join(splitted_string))), inits, list()) def to_int_aux(string_without_duplicates, inits, list_aux): gc.collect() for char in string_without_duplicates: if(char in inits): list_aux.append((char, random.randint(1, 9))) else: list_aux.append((char, random.randint(0, 9))) return list_aux def check_valid_string(string): gc.collect() return ("+" in string or "*" in string or "-" in string) and "=" in string def build_packages(ints, string): gc.collect() return build_packages_aux(ints, split_string(string), list(), list()) def build_packages_aux(ints, splitted_string, list_aux1, list_aux2): gc.collect() for string in splitted_string: for char in string: list_aux2.append(str(get_int(char, ints))) list_aux1.append("".join(list_aux2.copy())) list_aux2.clear() return list_aux1 def get_int(char, ints): gc.collect() for tup in ints: if(char == tup[0]): return tup[1] def is_valid(ints, string): gc.collect() if("+" in string): return int(build_packages(ints, string)[0]) + int(build_packages(ints, string)[1]) == int(build_packages(ints, string)[2]) elif('*' in string): return int(build_packages(ints, string)[0]) * int(build_packages(ints, string)[1]) == int(build_packages(ints, string)[2]) elif('-' in string): return int(build_packages(ints, string)[0]) - int(build_packages(ints, string)[1]) == int(build_packages(ints, string)[2]) def generate_valid_tuples(string): gc.collect() return generate_valid_tuples_aux(string, list()) def generate_valid_tuples_aux(string, list_aux): gc.collect() while(len(list_aux) != 1): list_aux.append(to_int(split_string(string), get_inits(string)).copy()) print("\rLista analizada: %s" % (list_aux[-1]), end = '') if(not is_valid(list_aux[len(list_aux) - 1], string)): del list_aux[-1] sys.stdout.write("\033[K") print("\rLista final: %s " % (list_aux[-1]), end = '\n') return list_aux criptoaritmos(input("Escribe tu palabra: "))
2358ce9bd1a93f9692cff142908bde4f985fd4c5
sukiskumar/sukiskumar
/ex3.py
202
4.125
4
ch=input("enter a char:") if(ch=='A'or ch=='a'or ch=='E'or ch=='e'or ch=='I'or ch=='i'or ch=='O'or ch=='o'or ch=='U'or ch=='u'): print(ch,"its a vowel letter") else: print(ch,"its a consonent")
7bd52e231d77bfe94c4277772ef77bc4f56b7f57
Andyyesiyu/IS590
/Assignment/A2/hw2.py
10,993
3.734375
4
#!/usr/bin/env python # -*- coding: utf-8 -*- import random from ast import literal_eval as make_tuple import math # Edge definition: # - p1, p2: endpoints of the segment # - slope: slope of the segment # - intersect: intersect of the line (extention of the segment most probably) on the y axis class Edge: def __init__(self, p1, p2, slope, intersect): self.p1 = p1 self.p2 = p2 self.slope = slope self.intersect = intersect # The point matrix would seem like following: # (0,0) (0,1) (0,2) ... (0,n) # (1,0) ... # (2,0) ... # . # . # . # (m,0) ... # - points: A 2D array, storing `True/False` indicating whether the point is on a segment or not. # - edges: The list storing current lines def initPoints(m=4, n=4): points = [] for _ in range(m): row = [] for _ in range(n): row.append(False) points.append(row) return points def printPuzzle(points): for i in points: print(i) def rollTurn(): if random.randint(1, 10) < 5: return 0 else: return 1 turnMap = {0: "Computer", 1: "Player"} def checkValidEdge(points, edges, newEdge, endpoint): # print(newEdge.p1, newEdge.p2, endpoint) # print("Start checking edge validation...") # Check if endpoints match if not (-1, -1) in endpoint: # Must start fron an endpoint if not (newEdge.p1 in endpoint or newEdge.p2 in endpoint): return False # Cannot accept a line that would turn itself in to a closed shape if newEdge.p1 in endpoint and points[newEdge.p2[1]][newEdge.p2[0]] == True: return False if newEdge.p2 in endpoint and points[newEdge.p1[1]][newEdge.p1[0]] == True: return False # Check if it's the very first input for the entire puzzle if not edges: # print(0) return True # Check intersection: for edge in edges: # print("slopes:", edge.slope, newEdge.slope) if edge.slope != newEdge.slope: # print(1) # print(edge.intersect, newEdge.intersect) if edge.slope == 'infinity': intersectY = newEdge.slope*edge.p1[0] + newEdge.intersect if newEdge.slope == 0: if (edge.p1[0], intersectY) != newEdge.p1 and (edge.p1[0], intersectY) != newEdge.p2 and edge.p1[0] > min(newEdge.p1[0], newEdge.p2[0]) and edge.p1[0] < max(newEdge.p1[0], newEdge.p2[0]) and intersectY >= min(edge.p1[1], edge.p2[1]) and intersectY <= max(edge.p1[1], edge.p2[1]): # print("HERE1") return False if intersectY > min(newEdge.p1[1], newEdge.p2[1]) and intersectY < max(newEdge.p1[1], newEdge.p2[1]): # print("HERE2") return False elif newEdge.slope == 'infinity': intersectY = edge.slope*newEdge.p1[0] + edge.intersect if intersectY == math.floor(intersectY) and math.floor(intersectY) == edge.p1[1] or math.floor(intersectY) == edge.p2[1]: temp = (newEdge.p1[0], intersectY) if temp not in endpoint: return False if intersectY > min(newEdge.p1[1], newEdge.p2[1]) and intersectY < max(newEdge.p1[1], newEdge.p2[1]): # print("HERE6") return False else: intersectX = (edge.intersect - newEdge.intersect) / \ (newEdge.slope - edge.slope) # print(intersectX) if (intersectX == edge.p1[0] or intersectX == edge.p2[0]) and (edge.p1 not in endpoint and edge.p2 not in endpoint): # print("HERE4") return False if (intersectX > min(newEdge.p1[0], newEdge.p2[0]) and intersectX < max(newEdge.p1[0], newEdge.p2[0])) \ and (intersectX > min(edge.p1[0], edge.p2[0]) and intersectX < max(edge.p1[0], edge.p2[0])): # print("HERE5") return False else: # print(2) if newEdge.slope == 'infinity': if newEdge.p1[0] != edge.p1[0]: continue else: newEdgeYRange = range(min(newEdge.p1[1], newEdge.p2[1]), max( newEdge.p1[1], newEdge.p2[1]) + 1) edgeYRange = range(min(edge.p1[1], edge.p2[1]), max( edge.p1[1], edge.p2[1]) + 1) ns = set(newEdgeYRange) inter = ns.intersection(edgeYRange) if inter and len(inter) > 1: return False else: if newEdge.intersect != edge.intersect: continue else: newEdgeXRange = range(min(newEdge.p1[0], newEdge.p2[0]), max( newEdge.p1[0], newEdge.p2[0]) + 1) edgeXRange = range(min(edge.p1[0], edge.p2[0]), max( edge.p1[0], edge.p2[0]) + 1) ns = set(newEdgeXRange) inter = ns.intersection(edgeXRange) if inter and len(inter) > 1: return False return True def moveToEdge(newMove): # Cannot set a same point twice as a valid segment if newMove[0] == newMove[1]: return None, False # Endpoints of a segement must be within the border of the puzzle for i in newMove: if not (i[0] in range(height) and i[1] in range(width)): return None, False x1 = newMove[0][1] y1 = newMove[0][0] x2 = newMove[1][1] y2 = newMove[1][0] if x1 == x2: slope = 'infinity' intersect = None else: slope = (y1 - y2)/(x1 - x2) intersect = (x1*y2 - x2*y1)/(x1 - x2) return Edge((x1, y1), (x2, y2), slope, intersect), True def generateNextEdge(points, edges, endpoint): for i in range(height): for j in range(width): if not points[i][j]: if not (-1, -1) in endpoint: for ep in endpoint: newMove = ((i, j), (ep[1], ep[0])) newEdge, validMove = moveToEdge(newMove) if not validMove: pass else: validEdge = checkValidEdge( points, edges, newEdge, endpoint) if not validEdge: pass else: return newEdge else: newMove = ((i, j), (0, 0)) newEdge, validMove = moveToEdge(newMove) if not validMove: pass else: validEdge = checkValidEdge( points, edges, newEdge, endpoint) print(validEdge) if not validEdge: pass else: return newEdge return newEdge def getNextEdge(edges, endpoint): validMove = False validEdge = False while not validEdge: print("Please input a valid move (e.g. (0,0), (0,1)):") newMove = input() # Always require two points as input # For example, ((0, 0), (1,0)) try: newMove = make_tuple(newMove) except: continue if type(newMove) != tuple or len(newMove) != 2: continue newEdge, validMove = moveToEdge(newMove) # print(validMove, "validMove") if not validMove: print("Invalid input!") continue validEdge = checkValidEdge(points, edges, newEdge, endpoint) if not validEdge: print("Invalid input!") continue # print(validEdge, "validEdge") return newEdge def move(turn, points, edges, endpoint): if turn == 0: newEdge = generateNextEdge(points, edges, endpoint) # newEdge = getNextEdge(edges, endpoint) else: newEdge = getNextEdge(edges, endpoint) return newEdge def checkIfFinished(points, edges, endpoint): for i in range(height): for j in range(width): for ep in endpoint: newMove = ((i, j), (ep[1], ep[0])) newEdge, validMove = moveToEdge(newMove) if validMove: validEdge = checkValidEdge( points, edges, newEdge, endpoint) if validEdge: return False return True def updatePuzzle(points, newEdge, endpoint): # Update endpoint if (-1, -1) in endpoint: endpoint[0] = newEdge.p1 endpoint[1] = newEdge.p2 else: for i in range(2): if endpoint[i] == newEdge.p1: endpoint[i] = newEdge.p2 break elif endpoint[i] == newEdge.p2: endpoint[i] = newEdge.p1 break # Update points if newEdge.slope == 'infinity': for i in range(min(newEdge.p1[1], newEdge.p2[1]), max(newEdge.p1[1], newEdge.p2[1]) + 1): points[i][newEdge.p1[0]] = True else: for i in range(min(newEdge.p1[0], newEdge.p2[0]), max(newEdge.p1[0], newEdge.p2[0]) + 1): if math.floor(newEdge.slope*i + newEdge.intersect) == newEdge.slope*i + newEdge.intersect: points[math.floor(newEdge.slope*i + newEdge.intersect)][i] = True return if __name__ == "__main__": print("Please input the height of the puzzle:") height = input() height = int(height) print("Please input the width of the puzzle:") width = input() width = int(width) points = initPoints(height, width) edges = [] turn = rollTurn() finished = False endpoint = [(-1, -1), (-1, -1)] print("Game starts!") printPuzzle(points) print('\n') while not finished: print(turnMap[turn], "'s turn!") if width == 1 and height == 1: print(turnMap[(turn+1) % 2], "wins!") exit(0) newEdge = move(turn, points, edges, endpoint) print(turnMap[turn], "takes (", newEdge.p1[1], ",", newEdge.p1[0], "), (", newEdge.p2[1], ",", newEdge.p2[0], ")") edges.append(newEdge) updatePuzzle(points, newEdge, endpoint) printPuzzle(points) print("endpoints are now:", "(", endpoint[0][1], ",", endpoint[0] [0], "),", "(", endpoint[1][1], ",", endpoint[1][0], ")") print('\n') finished = checkIfFinished(points, edges, endpoint) turn = (turn + 1) % 2 printPuzzle(points) print("No more available moves!") print(turnMap[turn], "wins!")
4db5286513dde4db5afc628bb1c084b187ee898a
sfaisalaliuit/dictionary
/dict_double_prog3.py
439
3.90625
4
faisal = {'username': 'sfaisal', 'online': True, 'students': 145, 'section':'Computer Science', 'experience in years':21} farhan = {'username': 'farhanahmed', 'online': False, 'students': 144, 'section':'Software Engineering', 'experience in years':15} for key, value in faisal.items(): print(key, 'is the key for the value', value) for key, value in farhan.items(): print(key, 'is the key for the value', value)
f846806fe36f18555ee326609d90581c099e6ee2
ps3296/Automated-Pun-Generator
/python files/Scripts/Scripts/homonyms_textfile_cdt/trial_generate_jokes.py
967
3.765625
4
def indefinite_article(w): if w.lower().startswith("a ") or w.lower().startswith("an "): return "" return "an " if w.lower()[0] in list('aeiou') else "a " def camel(s): return s[0].upper() + s[1:] def joke_type1(d1,d2,w1): return "What do you call " + indefinite_article(d1) + d1 + " " + d2 + "? " + \ camel(indefinite_article(w1)) + w1 + "." def joke_type2(d1,d2,w1): return "When is " + indefinite_article(d1) + d1 + " like " + indefinite_article(d2) + d2 + "? " + \ "When it is ." data = open("trial_homonyms.txt","r").readlines() for line in data: [w1,d1,pos1,d2,pos2]=line.strip().split(",") if pos1=='adjective' and pos2=='noun': print (joke_type1(d1,d2,w1)) elif pos1=='noun' and pos2=='adjective': print (joke_type1(d2,d1,w1)) elif pos1=='noun' and pos2=='noun': print (joke_type2(d1,d2,w1)) print (joke_type2(d2,d1,w1))
7f27483d65ad0113c2b9159fa6ef4e15c59992b7
TeamContagion/CTF-Write-Ups
/2022/SekaiCTF2022/crypto/SecureImageEncryption/enc.py
1,646
3.6875
4
from PIL import Image def openImage(): #opens both images and loads them img1 = Image.open("encryptedimg1.png") img2 = Image.open("encryptedimg2.png") pixels1 = img1.load() pixels2 = img2.load() width1, height1 = img1.size width2, height2 = img2.size list1 = [] #check for correct size if width2 != 256 or width1 != 256: print("not correct size") """ this part gets the grayscale value of at each pixel of the encrypted images Its serves as a coordinate mapping Index 0 will have the grayscale value stored as a tuple of the first pixel in image 1 and image 2""" for x in range(width1): for y in range(height1): r1= img1.getpixel((x,y)) r2= pixels2[x, y] list1.append((r1, r2)) return list1 def rgbToHex(rgb): return '%02x%02x%02x' % rgb def main(): values = openImage() #created image object for making decrypted image. finalImage = Image.new(mode="RGB", size=(256, 256)) #opened flag encrypted image img3 = Image.open("encryptedFlag.png") img = img3.convert('RGB') pixels = img.load() width, height = img.size counter = 0 hexlist="" """ It gets the value in order of the encrypted image file and puts that pixel in the coordinates indicated by the values obtained from the grayscale""" for i in range(256): for j in range(256): finalImage.putpixel((255-values[counter][0], 255-values[counter][1]), pixels[i,j]) counter += 1 finalImage.rotate(90).transpose(Image.FLIP_LEFT_RIGHT).show() if __name__ == '__main__': main()
47846eb1a2b8b5db15f5f7262ae51e15973eb75b
oxfordni/python-for-everyone
/examples/lesson2/4_exercise_1.py
372
4.21875
4
# Determine the smallest number in an unordered list unordered_list = [1000, 393, 304, 40594, 235, 239, 2, 4, 5, 23095, 9235, 31] # We start by ordering the list ordered_list = sorted(unordered_list) # Then we retrieve the first element of the ordered list smallest_number = ordered_list[0] # And we print the result print(f"The smallest number is: {smallest_number}")
0c4af3021580b97e5d9d244695e5a22e5e9eb136
oxfordni/python-for-everyone
/examples/lesson2/1_data_types_tuples.py
152
3.875
4
# Define an initial tuple my_tuple = (1, 2, 3) # Print out the list print(my_tuple) # Print the value at the beginning of the list print(my_tuple[0])
c700081a72e7cc131897478a8f02db1507044b07
apalaciosc/python_quantum
/practica_01/ejercicio_01.py
180
3.671875
4
def ensure_question(palabra): if len(palabra) == 0: print('Cadena no válida') else: print(f'{palabra}?') palabra = input('Escriba una palabra: ') ensure_question(palabra)
321b6d8b4b9ccd840eef7801dccf0cffa7a571fe
apalaciosc/python_quantum
/clase_07/scrapping.py
893
3.875
4
from bs4 import BeautifulSoup html_doc = """ <html> <head> <title>The Dormouse's story</title> </head> <body> <p class="title story title2"><b>The Dormouse's story</b></p> <p class="story"> Once upon a time there were three little sisters; and their names were <a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>, <a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and <a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>; and they lived at the bottom of a well. </p> <p class="story">...</p> </body> </html> """ contenido = BeautifulSoup(html_doc, 'html.parser') print(contenido.prettify()) print(contenido.title) print(contenido.title.name) print(contenido.title.string) print(contenido.p) print(contenido.p['class']) print(contenido.a) print(contenido.find_all('a')) print(contenido.find(id="link3"))
c1bbd7598c2a95628257451d744cfd3cf6bf1f98
nawan44/Python-Basic
/iteration.py
171
4.03125
4
#basic iteration Spirit = 5 for Day in range(1, Spirit+1): print('Never Give Up') #iteration in string Hi = 7 for Good in range(2, Hi+7): print(f'Morning {Good}')
55e1d5407c28c0ea3953dedfe7bb97981a8d0455
nawan44/Python-Basic
/arithmetic.py
476
3.921875
4
#Standart Operator Arithmetic a = 10 b = 3 #operator + res = a + b print(a, '+', b ,'=', res) #operator - res = a - b print(a, '-', b ,'=', res) #operator - Multiple res = a * b print(a, '-', b ,'=', res) # operator / Dividen res = a / b print(a, '/', b ,'=', res) # operator ^2 Eksponen res = a ** b print(a, '**', b ,'=', res) # operator % Modulus res = a % b print(a, '%', b ,'=', res) # operator // floor division res = a // b print(a, '//', b ,'=', res)
18ca47e10a0af9166e4366ca61b3a726bbc74454
callmefarad/Python_For_Newbies
/sesions/stringslice.py
756
4.53125
5
# slicing simply means returning a range of character # this is done by using indexing pattern # note when dealing with range the last number is exclusive. # i.e if we are to get the last letter of digit 10, we would have a # range of number tending to 11 where the 11th index is exclusive # declaring my variable my_string = "This is my string." # printing the whole value of the variable print(my_string[:]) # printing the word "my" from the value print("Am printing the word \"my\" from the variable using string slicing") print(my_string[8:10]) # we also use negative indexing during slicing # lets print the word "string" from the back using negative indexing print("printing the word \"string\" using negative indexing.") print(my_string[-7:-1])
f8ccced9d2f8bf8df346c5f5ff77a1fbc8d32954
callmefarad/Python_For_Newbies
/sesions/rangetype.py
367
4.125
4
# showing range type representation # declaring a variable name range_of_numbers range_of_numbers = range(40) # displaying the range of numbers print("Below shows the range of numbers") print(range_of_numbers) # displaying python representation of the output value print("Below show the python data type representation of the output") print(type(range_of_numbers))
85b7757dd6d1e1e5a6872596d297e5a690707f86
callmefarad/Python_For_Newbies
/sesions/sorting_item.py
5,457
4.3125
4
# SORT # the sorted() function is used to sort items in ascending order by default or by user prescriptions. # basic sorting is used without a key and mapping function # BASIC SORT # sorting items in a list print('\nsorted() function shows all the items in ascending order') items = [1, 29, 37, 97, 2, 57, 37, 58, 46, 61, 74, 9273, 54] print(sorted(items)) # Enumerator helps us know the index of we would like to sort print('\nEnumerator helps us to know the index number of itme we would want to sort for.') print(list(enumerate(items))) # we can also impose a start index value rather than the default (0) print('Making the index to start with 1 rather than the default(0) value.') print(list(enumerate(items, start=1))) # KEY FUNCTION SORT # sorting items using the keyword "sorted", "key function" and "mapping funtion". # it takes this format: sorted(object list, key=lambda: class_name: class.name(where class.name is the property to sort)) # (sorted(list of objects, key=lambda, maping the class to the property in the argument to sort)) class Student: # create an init function that serve as the construct of the class def __init__(self, name, age, python_score, django_score, ml_score): # defining the propertis contained in the class self.name = name self.age = age self.python_score = python_score self.django_score = django_score self.ml_score = ml_score # __repr__() function return a string containing a printable representation of an object. def __repr__(self): return repr((self.name, self.age, self.python_score, self.django_score, self.ml_score)) # creating instances of the Student class nd = Student("ndidi", "45", "100", "100", "100") ol = Student('ola', '75', '150', '200', '250') tb = Student('tobi', '20', '200', '175', '150') om = Student('oma', '30', '100', '100', '100') # putting the created objects in a list object_list = [ nd, ol, tb, om ] # sorting the objects by age print("\nsorting the objects by age:") sorted_items = sorted(object_list, key=lambda Student: Student.age) print(sorted_items, '\n') # sorting the objects by python score print("sorting the objects by python score:") sorted_items = sorted(object_list, key=lambda Student: Student.python_score) print(sorted_items, '\n') # sorting the objects by django score print("sorting the objects by django score:") sorted_items = sorted(object_list, key=lambda Student: Student.django_score) print(sorted_items, '\n') # sorting the objects by ml score print("sorting the objects by machine learning score:") sorted_items = sorted(object_list, key=lambda Student: Student.ml_score) print(sorted_items, '\n') # we can also use the same method to sort for tupple class_list = [ ("charles", 45, "100", "100", "1"), ('hammed', 75, '150', '200', '250'), ('kingsley', 20, '200', '175', '150'), ('james', 30, '100', '100', '100'), ] # sorting the class list by age print('sorting the ages of students in tupple (student_list).') sorted_list = sorted(class_list, key=lambda Student: Student[1]) print(sorted_list) # OPERATOR MODULE FUNCTION # The key-function patterns shown above are very common, so Python provides convenience functions to make # accessor functions easier and faster. The operator module has itemgetter(), attrgetter(), and a # methodcaller() function. # itemgetter() function look at the index to find element while the attrgetter() function look at the name(string) of the name of # the passed in the agument. # the itemgetter() function is used for tupple while the attrgetter() function is used for list # we must first import the itemgetter() and attrigetter() function from the operator module from operator import itemgetter, attrgetter print('using itemgetter() function to dislplay students age of object in Student class(tupple)') print(sorted(class_list, key=itemgetter(1))) print('') print('using attrgetter() function to display students age of object in Student class (list)') print(sorted(object_list, key=attrgetter('age'))) # DESCENDIGN SORT # Both list.sort() and sorted() accept a reverse parameter with a boolean value. This is used to flag descending # sorts. For example, to get the student data in reverse age order: # sort students in descending order print('\nthe reverse order of student age:') sorted_list = sorted(object_list, key=attrgetter('age'), reverse=True) print(sorted_list) # the min() function checks for the minimum value while the max() checks for the maximum value in a list, tuple or dictionary print('\nDisplay the student who got the highest score in python') maximum_no = max(object_list, key=attrgetter('python_score')) print(maximum_no) print('\nDisplay the student who got the highest score in django') maximum_no = max(object_list, key=attrgetter('django_score')) print(maximum_no) print('\nDisplay the student who got the highest score in machine learning') maximum_no = max(object_list, key=attrgetter('ml_score')) print(maximum_no) print('\nDisplay the student who got the lowest score in python') minimum_no = min(object_list, key=attrgetter('python_score')) print(minimum_no) print('\nDisplay the student who got the lowest score in django') minimum_no = min(object_list, key=attrgetter('django_score')) print(minimum_no) print('\nDisplay the student who got the lowest score in machine learning') minimum_no = min(object_list, key=attrgetter('ml_score')) print(minimum_no)
4a2d69fd9c1d182db95a7df2dbead89b3628f002
callmefarad/Python_For_Newbies
/sesions/stringreplacement.py
164
4.40625
4
# The string replacement is used to replace a character with another # character in that string. my_sentence = "Ubani Friday" print(my_sentence.replace("U", "O"))
b30d79e7e57f57b9b079bb566e41c6deb88425c5
callmefarad/Python_For_Newbies
/sesions/languagetranslation.py
708
4.0625
4
# This progrma is called the cow translation language. # It converts every vowel letter found in a word to "COW", thereby forming the cow language. # defining the function def copywrite(): print("Copywrite: Ubani U. Friday") def translate(phrase): word_translation = "" # an empty variable to hold each element of any work inputed for letter in phrase: if letter in "AEIOUaeiou": word_translation = word_translation + "cw" else: word_translation = word_translation + letter return word_translation # main program userinput = input("\nEnter any word or sentence you like to translate to a cow language: ") print(translate(userinput)) copywrite()
b59e530c1b2e7d8275003cde9e1b8bce78d9b43f
callmefarad/Python_For_Newbies
/sesions/membershipin.py
536
4.3125
4
# a membership operator checks if sequence is present in an object # "in" is on of the membership operator # creating a variable named " my_list = ['orange', 'bean', 'banana', 'corn'] print("List of items: ", my_list) # creating a check variable check = "banana" # prints the result print(check in my_list) """" # creates a conditional statement if check in my_list: print(check.upper(), "is present in the list.") else: print(check, "is not present in the list.") print("************************************** ") """
fd0795fd1e3b86ce259b392b644d5ade274655f0
callmefarad/Python_For_Newbies
/sesions/func.py
1,652
4.15625
4
# # declaring a function # def dummy(): # print("this is a dummy print.") # # # callin the function # dummy() # # def add(): # user1 = float(input('Enter your firstnumber: ')) # user2 = float(input('Enter your secondnumber: ')) # sum = user1 + user2 # return sum # # # call the function # add() # x = 5 # def anything(): # global x # x = 6 # print(x * 2) # # anything() # print(x) # # def greet(name, message): # print(name + " " + message) # def greet(name, message): # return name + " " + message # # print(greet('ole', 'good morning')) # # def greet(name, message="goood morning"): # print( name + " " + message) # # # greet("osazie", "welcome") # def fruits(*fruitslist): # return fruitslist # # print(fruits('ola', 'sade', 'tolu')) # # using a lamdda function # square = lambda x, y: (x*x) - (y) # # print(square(4,4)) # root of an equation (b2 - 4ac)/(2a) # equation_root = lambda a,b,c : -b((b*b - 4*a*c)/(2*a)) # # a = float(input('Enter the value of a: ')) # b = float(input('Enter the value of b: ')) # c = float(input('Enter the value of c: ')) # # # call the lamda function # print(equation_root(a,b,c)) # a lambda function that performs the square of a number # square = lambda x: x * y # # user = float(input('number: ')) # print(square(user)) root = lambda a, b, c: ((a*a) + (b) -c) x = float(input('a: ')) y = float(input('b: ')) z = float(input('c: ')) # call the function print(root(x,y,z)) # a default function that performs the square of a number # def square(x): # result = x * x # return result # # u = float(input('number: ')) # print(square(u))
0f6be41aa20de93a0ec323b95b78b7e1b906996e
callmefarad/Python_For_Newbies
/sesions/division.py
257
3.828125
4
# division operator is represented with a forward slash "/" # it is used to get a floating value after a successful divisional operation. all_states = 30000 lagos_state = 307 total_count = all_states / lagos_state print("The total count is: ", total_count)
05700d145da30b014ab880e5af9be1a13d3a0a98
callmefarad/Python_For_Newbies
/sesions/passwordChecker.py
1,122
4.125
4
# a program that checks if a password is too weak, weak and very strong # defining the function def copywrite(): print("Copywrite: Ubani U. Friday") # main function special_characters = ['!', '^', '@', '#', '$', '%', '&', '*', '(', ')', '_', '+'] special_numbers = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '0'] upper_character = ['A','B','C','D','E','F','G','H','I','J','K','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z'] counter_character = 0 counter_number = 0 counter_upper = 0 list_holder = [] userinput = input("Enter your password: ") list_holder = list_holder + list(userinput) for i in range(len(userinput)): if list_holder[i] in special_characters: counter_character += 1 if list_holder[i] in special_numbers: counter_number += 1 if list_holder[i] in upper_character: counter_upper += 1 if len(userinput)<7: print("TOO WEAK, please include numbers and special characters") elif len(userinput)>=7 and counter_number>0 and counter_character>0 and counter_upper >0: print("VERY STRONG password.") else: print("The password is WEAK") copywrite()
918bcf54bf0c511c9f3b07af080991bb0ae64965
satvks/Djikstras-Dungeon
/P1/p1-myvers.py
6,713
3.84375
4
from p1_support import load_level, show_level, save_level_costs from math import inf, sqrt from heapq import heappop, heappush def dijkstras_shortest_path(initial_position, destination, graph, adj): """ Searches for a minimal cost path through a graph using Dijkstra's algorithm. Args: initial_position: The initial cell from which the path extends. destination: The end location for the path. graph: A loaded level, containing walls, spaces, and waypoints. adj: An adjacency function returning cells adjacent to a given cell as well as their respective edge costs. Returns: If a path exits, return a list containing all cells from initial_position to destination. Otherwise, return None. """ visitingq = [] came_from = dict() cost_so_far = dict() came_from[initial_position] = None cost_so_far[initial_position] = 0 heappush(visitingq, (cost_so_far[initial_position], initial_position)) while visitingq: cur_cost, cur_pos = heappop(visitingq) """ if cur_pos == destination: path = [] if current == destination: while current: path.append(current) current = prev[current] path.reverse() return path adjacent = nav(graph, current) """ for edge, cost in adjacent: newCost = currentCost + cost if edge not in dist or newCost < dist[edge]: dist[edge] = newCost prev[edge] = current heappush(queue, (newCost, edge)) for edges in navigation_edges(graph, cur_pos): ## it's pretty much what's on the redblob code page pass def dijkstras_shortest_path_to_all(initial_position, graph, adj): """ Calculates the minimum cost to every reachable cell in a graph from the initial_position. Args: initial_position: The initial cell from which the path extends. graph: A loaded level, containing walls, spaces, and waypoints. adj: An adjacency function returning cells adjacent to a given cell as well as their respective edge costs. Returns: A dictionary, mapping destination cells to the cost of a path from the initial_position. """ dist = {} dist[initial_position] = 0 queue = [] heappush(queue, (0, initial_position)) while len(queue) != 0: currentCost, current = heappop(queue) adjacent = adj(graph, current) for next, cost in adjacent: newCost = currentCost + cost if next not in dist or newCost < dist[next]: dist[next] = newCost heappush(queue, (newCost, next)) return dist def navigation_edges(level, cell): """ Provides a list of adjacent cells and their respective costs from the given cell. Args: level: A loaded level, containing walls, spaces, and waypoints. cell: A target location. Returns: A list of tuples containing an adjacent cell's coordinates and the cost of the edge joining it and the originating cell. E.g. from (0,0): [((0,1), 1), ((1,0), 1), ((1,1), 1.4142135623730951), ... ] """ ### The Better One -- not. The range is some whack shit ### xs, ys = zip(*(list(level['spaces'].keys()) + list(level['walls']))) # this is getting the min n max val x_lo, x_hi = min(xs), max(xs) y_lo, y_hi = min(ys), max(ys) cell_x, cell_y = cell cell_cost = level['spaces'][cell] check_list = [(x,y) for x in [cell_x + 1, cell_x, cell_x - 1] for y in [cell_y + 1, cell_y, cell_y - 1] if not (x == cell_x and y == cell_y)] ret_list = [] for space in check_list: space_x, space_y = space if not (x_lo <= space_x <= x_hi) or not (y_lo <= space_y <= y_hi): continue if space in level['spaces']: space_cost = level['spaces'][space] # some math up in dis if (abs(space_x - cell_x) == 1) and (abs(space_y - cell_y) == 1): path_cost = (0.5) * sqrt(2) * space_cost + (0.5) * sqrt(2) * cell_cost else: path_cost = (0.5) * space_cost + (0.5) * cell_cost ret_list.append((space, path_cost)) print ret_list return ret_list def test_route(filename, src_waypoint, dst_waypoint): """ Loads a level, searches for a path between the given waypoints, and displays the result. Args: filename: The name of the text file containing the level. src_waypoint: The character associated with the initial waypoint. dst_waypoint: The character associated with the destination waypoint. """ # Load and display the level. level = load_level(filename) show_level(level) # Retrieve the source and destination coordinates from the level. src = level['waypoints'][src_waypoint] dst = level['waypoints'][dst_waypoint] # Search for and display the path from src to dst. path = dijkstras_shortest_path(src, dst, level, navigation_edges) if path: show_level(level, path) else: print("No path possible!") def cost_to_all_cells(filename, src_waypoint, output_filename): """ Loads a level, calculates the cost to all reachable cells from src_waypoint, then saves the result in a csv file with name output_filename. Args: filename: The name of the text file containing the level. src_waypoint: The character associated with the initial waypoint. output_filename: The filename for the output csv file. """ # Load and display the level. level = load_level(filename) show_level(level) # Retrieve the source coordinates from the level. src = level['waypoints'][src_waypoint] # Calculate the cost to all reachable cells from src and save to a csv file. costs_to_all_cells = dijkstras_shortest_path_to_all(src, level, navigation_edges) save_level_costs(level, costs_to_all_cells, output_filename) if __name__ == '__main__': filename, src_waypoint, dst_waypoint = 'example.txt', 'a','e' # Use this function call to find the route between two waypoints. test_route(filename, src_waypoint, dst_waypoint) # Use this function to calculate the cost to all reachable cells from an origin point. cost_to_all_cells(filename, src_waypoint, 'my_costs.csv')
9e34742605447bc3ec4ab6da44d9b5ae5a19d32b
MetallicMonkeyu/image_encrypt
/Cube.py
5,417
3.5625
4
from PIL import Image from Key import * class Cube: #im_path can be pefected by asking user to choose a folder def __init__(self, img_path = [], block_size = 8): self.image = [] #Open a new file self.blc_size = block_size self.img_path = img_path def Row(self, row_index, shift_times): """ All operations in this function are index operation (start from 0) """ #Get operation vector """ block_nums: how many blocks in each row blcok_nums = image.width [0] / block.size """ blc_nums = self.image.size[0] / self.blc_size opt_vector = shiftBits(shift_times, blc_nums) #Copy original image for reference ori_image = self.image.copy() ori_image.load() #Execute row rolling operation """ each Element in vector is the Relative Coordinate of the Block in Original Image each Index of Element is the Relative Coordinate of the Block in New Image """ for index, elm in enumerate(opt_vector): #Crop a block from original image crop_area = (self.blc_size * elm, self.blc_size * row_index, \ self.blc_size * (elm + 1), self.blc_size * (row_index + 1)) crop_blc = ori_image.crop(crop_area) crop_blc.load() #Paste the block to new image paste_area = (self.blc_size * index, self.blc_size * row_index,\ self.blc_size * (index + 1), self.blc_size * (row_index + 1)) self.image.paste(crop_blc, paste_area) def Col(self, col_index, shift_times): """ All operations in this function are index operation (start from 0) """ #Get operation vector """ block_nums: how many blocks in each colum blcok_nums = image.height [1] / block.size """ blc_nums = self.image.size[1] / self.blc_size opt_vector = shiftBits(shift_times, blc_nums) #Copy original image for reference ori_image = self.image.copy() ori_image.load() #Execute row rolling operation """ each Element in vector is the Relative Coordinate of the Block in Original Image each Index of Element is the Relative Coordinate of the Block in New Image """ for index, elm in enumerate(opt_vector): #Crop a block from original image crop_area = (self.blc_size * col_index, self.blc_size * elm, \ self.blc_size * (col_index + 1), self.blc_size * (elm + 1)) crop_blc = ori_image.crop(crop_area) crop_blc.load() #Paste the block to new image paste_area = (self.blc_size * col_index, self.blc_size * index,\ self.blc_size * (col_index + 1), self.blc_size * (index + 1)) self.image.paste(crop_blc, paste_area) def Enc(self, auto = False, key_path = [],wd_num = 20): #Plase Choose a file: # #If auto = True, generate a Key_map Automatically key_mgr = Key() if auto == True: key_mgr.SetKeyPath(self.img_path + '.key') key_mgr.GenKey(word_num = wd_num) else: key_mgr.SetKeyPath(key_path) key_mgr.OpenFile() #Operation Begin opt_info = key_mgr.GetKeyInfo() for rl_round in range(0,opt_info['rl_round']): for row_index in range(0,self.image.size[0]/self.blc_size): shift_times = key_mgr.GetEncKey() self.Row(row_index, shift_times) for col_index in range(0,self.image.size[1]/self.blc_size): shift_times = key_mgr.GetEncKey() self.Col(col_index, shift_times) #Operation End key_mgr.CloseFile() self.image.save(fp = self.img_path) def Dec(self, key_path): #Please choose a key? key_mgr = Key() key_mgr.SetKeyPath(key_path) key_mgr.OpenFile()#Here should choose the file path opt_info = key_mgr.GetKeyInfo() #Calculate stop_index: used_knum = (self.image.size[0]/self.blc_size + self.image.size[1]/self.blc_size) * opt_info['rl_round'] stop_index = used_knum % opt_info['wd_num'] #Set Key Cursor: key_mgr.SetKeyCursor(key_index = stop_index) for rl_round in range(0,opt_info['rl_round']): for col_index in list(reversed(range(0, self.image.size[1]/self.blc_size))): shift_times = - key_mgr.GetDecKey() self.Col(col_index, shift_times) for row_index in list(reversed(range(0, self.image.size[0]/self.blc_size))): shift_times = - key_mgr.GetDecKey() self.Row(row_index, shift_times) key_mgr.CloseFile() self.image.save(fp = self.img_path) def OpenImg(self, path): self.image = Image.open(path) self.img_path = path def SetBlockSize(self, size): self.blc_size = size def CloseImg(self): self.image.close() def shiftBits(times, block_num): #Generate Origin coordinate vector: vector = [x for x in range(0,block_num)] #Shift Operation: times = times % block_num for i in range(0,times): vector.insert(0,vector[-1]) del vector[-1] print (vector) return vector
67c8770308f34f234d91c330da73e5aefee2a58c
Ilis/dawson
/useless_trivia.py
585
4.125
4
# Useless trivia name = input("Hi! What's your name? ") age = input("How old are you? ") age = int(age) weight = int(input("What is your weight? ")) print() print("If Cammings write you a letter, he write", name.lower()) print("If mad Cammings write you a letter, he write", name.upper()) called = name * 5 print("Kid can call you like this:", called) seconds = age * 365 * 24 * 60 * 60 print("Your age in seconds is:", seconds) moon_weight = weight / 6 print("Your weight on the Moon is:", moon_weight) sun_weight = weight * 27.1 print("Your weight on the Sun is:", sun_weight)
d05ab90c27a5d8821c19b17cb48a2dafc78f35bc
GaboUCR/Mit-Introduction-to-python
/ps1/Ps1B.py
848
4.28125
4
total_cost = float(input("Enter the cost of your dream house ")) annual_salary = float(input("enter your annual salary ")) portion_saved= float(input("enter the percentage to be saved ")) semi_annual_raise = float(input("Enter the percentage of your raise")) current_savings = 0 annual_return = 0.04 total_months = 0 portion_down_payment = 0.25 months_to_get_raise = 0 while total_cost * portion_down_payment > current_savings : months_to_get_raise += 1 current_savings += current_savings*annual_return /12 current_savings += (annual_salary / 12 ) * portion_saved if (months_to_get_raise == 6 ): annual_salary = annual_salary + annual_salary*semi_annual_raise months_to_get_raise = 0 total_months += 1 print("you need to save for " , total_months , " months to be able to make a payment" )
9aac5e114701687f7fd97c620cdba469a6d117de
malikrafsan/Python-Language-Linter
/cyk_parser.py
1,244
3.578125
4
# File ini adalah CYK Parser yang digunakan # Pada file ini, dilakukan pengecekan syntax dengan CYK def cyk_parser(grammar, prob): #grammar -> a dictionary of CNF #prob -> string problem #Set up variable numb = len(prob) if(numb == 0): return True parsetable = [[[] for i in range(numb)] for j in range(numb)] #CYK Algorithm #Fill first row for i in range(numb): terminal = prob[i] #Get all nonterminal that produces prob[i] terminal = [terminal] for nonterm in grammar: if(terminal in grammar[nonterm]): parsetable[i][i].append(nonterm) #Fill the rest of parsetable for i in range(1, numb): for j in range(numb - i): ind = j + i for k in range(j, ind): for nonterm in grammar: for prod in grammar[nonterm]: if(len(prod) != 1): if((prod[0] in parsetable[j][k]) and (prod[1] in parsetable[k + 1][ind]) and (nonterm not in parsetable[j][ind])): parsetable[j][ind].append(nonterm) if('S' in parsetable[0][numb-1]): return True else: return False
b5e10ed6fec1e800562c5e7a381eceb00b53b6ab
aleph2c/miros-random
/set_hacking.py
673
3.59375
4
from itertools import combinations def make_combo(_max, _pick): comb = combinations(list(range(1,_max+1)), _pick) return list(comb) print(make_combo(3, 2)) def make_next(_max, _pick): full_combo = [a for a in make_combo(_max, _pick)] sub_combo = [b for b in full_combo if _max in b] return sub_combo top = 13 maximum_pick = [] max_length = 0 for _max in range(top): for picks in range(top): working_list = make_next(_max, picks) length = len(working_list) print(_max, picks, length, working_list) if max_length < length: maximum_pick = [_max, picks] max_length = length print(maximum_pick, max_length)
8111dfc4110b25b75a6d8f4e3e583aa583a54d31
DoughyJoeyD/WorkLog2
/task.py
1,889
4.125
4
from datetime import datetime import os import time #handy script to clean the screen/make the program look nice def clearscreen(): os.system('cls' if os.name == 'nt' else 'clear') #how each task is constructed #name #date of task #time taken #extra notes class Task(): def __init__(self): pass #asks the user for a task name def get_task_name(self): clearscreen() name = input("Task Name: ") if name.upper != "BACK": self.name = name.upper() #asks the user for a task time def get_time(self): clearscreen() self.time = False while self.time == False: try: time = input('How long was the task?(Only Enter Min): ') self.time = str(int(time)) except ValueError: print('Thats not a number!') #asks the user for extra notes def get_remarks(self): clearscreen() extra = input("Additional Notes? ").upper() self.extra = extra #asks the user for a date in MM/DD/YYYY Format def get_date(self): clearscreen() self.date = False while self.date == False: try: date = input("Please enter the date of task(MM/DD/YYYY): ") self.date = datetime.strptime(date, '%m/%d/%Y') except ValueError: clearscreen() print('Oops, Please Enter In Month(08), Day(04), Year(1990) Format!') time.sleep(2) #A really clean way of printing each task all at once def taskprinter(self): print("---------------------") print('Task Name: ' + self.name) print('Task Date: ' + self.date.strftime('%m/%d/%Y')) print('Time Taken: ' + self.time + " Minutes") print('Extra: ' + self.extra) print("---------------------")
bd0e4c8d341eab303c06ea1a3ab55c1b67cce480
uniquezhiyuan/ShipClassify
/route_revise.py
3,550
3.6875
4
import numpy as np import pandas as pd from math import sqrt import time import matplotlib.pyplot as plt plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签 plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号 # print(data_1.describe()) # 最小二乘回归 def least_squares(x, y): x_ = x.mean() y_ = y.mean() m = np.zeros(1) n = np.zeros(1) k = np.zeros(1) p = np.zeros(1) for i in np.arange(len(x)): k = (x[i]-x_) * (y[i]-y_) m += k p = np.square(x[i]-x_) n = n + p a = m / n b = y_ - a * x_ return a[0], b[0] # 北纬26°上相邻经线圈相距100.053km,经线圈上相邻纬线圈相距111.600km # 数值修正 def revise(x, y, t): x = np.array(x) y = np.array(y) new_x = [] new_y = [] new_x.append(x[0]) new_x.append(x[1]) new_y.append(y[0]) new_y.append(y[1]) for i in range(len(x) - 2): speed = sqrt(((x[i + 2] - x[i + 2 - 1]) * 100053)**2 + ((y[i + 2] - y[i + 2 - 1]) * 111600)**2) / (t[i + 2] - t[i + 1]) print('航行速度:', speed, 'm/s') k, b = least_squares(x[0:i + 2], y[0:i + 2]) x_ = new_x[i + 2 - 1] - sqrt((speed * (t[i + 2] - t[i + 2 -1]))**2 / (k**2 + 1)) / 100053 y_ = new_y[i + 2 - 1] - sqrt((speed * (t[i + 2] - t[i + 2 -1]))**2 / (k**2 + 1)) * k / 111600 new_x.append((x_ + x[i + 2]) / 2) new_y.append((y_ + y[i + 2]) / 2) return new_x, new_y def compare(x, y, new_x, new_y, title_name): plt.plot(new_x, new_y, label='修正轨迹') plt.plot(x, y, label='原始轨迹') plt.legend(loc='best') plt.xlabel('经度') plt.ylabel('纬度') plt.title(title_name) plt.show() # 残差平方和评估:数据与拟合直线残差平方和 def evaluate(x, y): x = np.array(x) y = np.array(y) k, b = least_squares(x, y) # print('k, b:', k, b) diff_list = x * k + b - y # print(diff_list) sum_square = 0 for i in diff_list: sum_square += i ** 2 return sum_square / len(x) data_1 = pd.read_csv(open('./data/1.csv')) lon = data_1.ix[:, '经度'] # 12,13,16,13 lat = data_1.ix[:, '纬度'] tim = data_1.ix[:, '时间'] # 2018042910515071 ,整型 tim = [int(time.mktime(time.strptime(str(t)[0:14], "%Y%m%d%H%M%S"))) for t in tim] # 时间戳 lon_1, lat_1, t_1 = lon[0:12], lat[0:12], tim[0:12] lon_2, lat_2, t_2 = lon[12:25], lat[12:25], tim[12:25] # straight lon_3, lat_3, t_3 = lon[25:41], lat[25:41], tim[25:41] lon_4, lat_4, t_4 = lon[41:54], lat[41:54], tim[41:54] new_lon_1, new_lat_1 = revise(lon_1, lat_1, t_1) new_lon_2, new_lat_2 = revise(lon_2, lat_2, t_2) new_lon_3, new_lat_3 = revise(lon_3, lat_3, t_3) new_lon_4, new_lat_4 = revise(lon_4, lat_4, t_4) compare(lon_1, lat_1, new_lon_1, new_lat_1, '信号源一原始轨迹和修正轨迹对比') compare(lon_2, lat_2, new_lon_2, new_lat_2, '信号源二原始轨迹和修正轨迹对比') compare(lon_3, lat_3, new_lon_3, new_lat_3, '信号源三原始轨迹和修正轨迹对比') compare(lon_4, lat_4, new_lon_4, new_lat_4, '信号源四原始轨迹和修正轨迹对比') evaluate(lon_1[2:], lat_1[2:]), evaluate(new_lon_1[2:], new_lat_1[2:]) evaluate(lon_2[2:], lat_2[2:]), evaluate(new_lon_2[2:], new_lat_2[2:]) evaluate(lon_3[2:], lat_3[2:]), evaluate(new_lon_3[2:], new_lat_3[2:]) evaluate(lon_4[2:], lat_4[2:]), evaluate(new_lon_4[2:], new_lat_4[2:])
4aed7141e11f5cabd8d860ecdac245dffe71e6df
Gutwack/pythonProjects
/basicMetacamDose.py
235
3.921875
4
breed = input("Is this a dog or a cat?") weight = float(input("What is the weight?")) if breed == "dog": dose = weight * 0.04 print(dose) elif breed == "cat": dose = weight * 0.05 print(dose) else: print("error")
01886e6780ca312c23c54061942ab487f0477727
olamileke/web-scraping
/nytimes.py
2,209
3.65625
4
# Python program to fetch the contents of an nytimes article from bs4 import BeautifulSoup, Tag from urllib.request import Request, urlopen import re url = input('enter the url for the nytimes articles - ') # formatting the text in the format we want def parse_text(soup): article_title = soup.h1.string article_summary = soup.find(id='article-summary') article_picture = soup.picture.img['src'] if article_summary is None: article_summary = article_title.parent.parent.next_sibling if article_summary.string is None: article_summary = '' else: article_summary = article_summary.string else: article_summary = article_summary.string article_blocks_parent = soup.find('section', class_='meteredContent') blocks = article_blocks_parent.find_all('div', class_='StoryBodyCompanionColumn') article_text = '' for block in blocks: paragraphs = block.find_all('p') block_text = '' for p in paragraphs: p_text = '' for child in p.children: if(isinstance(child, Tag)): if child.string: p_text = p_text + child.string else: p_text = p_text + child block_text = block_text + p_text article_text = article_text + block_text print('{0}\n{1}\n{2}\n\n{3}'.format(article_title, article_summary, article_picture, article_text)) # validating if the user entered a valid link to nytimes.com if re.match('https://(www.)*nytimes.com/.+', url) is None: print('please enter a valid nytimes article') elif re.match('https://(www.)*nytimes.com/live(.*)', url) is not None: print('Sorry. I do not scrape nytimes live blogs') elif re.match('https://(www.)*nytimes.com/interactive(.*)', url) is not None: print('Sorry. I do not scrape nytimes interactive articles') else: try: req = Request(url, headers={'User-Agent' : 'Mozilla/5.0'}) html = urlopen(req).read().decode('utf-8') soup = BeautifulSoup(html, 'html.parser') parse_text(soup) except: print('There was a problem scraping the data')
2035a32bf51f3e3b3134e30a2943dd7d7a66220f
Terund/tools
/代码/进程、线程、协程/多线程访问共享数据的问题.py
889
3.75
4
""" 多线程访问共享数据的问题: 1.哪些问题 数据混乱问题 2.如何解决 用锁(互斥锁)threading.Lock 获取锁(上锁) lock.acquire() 释放锁(解锁) locl.release() 获取锁与释放锁的次数要对应 好处: 保护数据安全,实现数据同步,不会混乱 弊端: 效率降低 容易导致死锁 """ import time import threading #模拟的总票数 tickets = 1000 lock = threading.Lock() def sale(name): global tickets while tickets > 0: if lock.acquire(): if tickets > 0: tickets -= 1 time.sleep(0.01) print('{}售出1张票,剩余{}张'.format(name, tickets)) lock.release() t1 = threading.Thread(target=sale,args=('窗口1',)) t2 = threading.Thread(target=sale,args=('窗口2',)) t1.start() t2.start()
2ac555d1dccc370a726e52e8283c1957de19b7a5
andrew5205/Maching_Learning
/Python/regression/linear_regression/linear_regression.py
1,933
3.828125
4
# Linear # y = b0 + b1 * x1 # y: Dependent Variable (DV) # x: Independent Variable (IV) # b1: Coeddicient # b0: Constant # sum( y - y^) ** 2 # ********************************************************************************************************************* # Simple Linear Regression # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv('Salary_Data.csv') X = dataset.iloc[:, :-1].values y = dataset.iloc[:, -1].values # Splitting the dataset into the Training set and Test set from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 1/3, random_state = 0) # ********************************************************************************************************************* # Training the Simple Linear Regression model on the Training set from sklearn.linear_model import LinearRegression regressor = LinearRegression() regressor.fit(X_train, y_train) # Predicting the Test set results y_pred = regressor.predict(X_test) # Visualising the Training set results f1 = plt.figure(1) plt.scatter(X_train, y_train, color = 'red') plt.plot(X_train, regressor.predict(X_train), color = 'blue') plt.title('Salary vs Experience (Training set)') plt.xlabel('Years of Experience') plt.ylabel('Salary') # plt.show() # Visualising the Test set results f2 = plt.figure(2) plt.scatter(X_test, y_test, color = 'red') plt.plot(X_train, regressor.predict(X_train), color = 'green') plt.title('Salary vs Experience (Test set)') plt.xlabel('Years of Experience') plt.ylabel('Salary') plt.show() # # ******************************************************************** # # To show all figure at once # # # f1 = plt.figure(1) # # code for f1 # f2 = plt.figure(2) # # code for f2 # plt.show() # # ********************************************************************
4ee82efb6887d9f33e7d71fdec4fa23bb129cd57
StrategyCode/CourseEra
/Assignment_4.6.py
392
3.6875
4
def computepay(): if Hr > 40: GrossPay=((Hr-40) * 1.5 * RatePerHour + (40 * RatePerHour)) else: GrossPay=Hr * RatePerHour return GrossPay Hr=input("Enter Hours Worked") RatePerHour=input("Enter Rate per Hours") try: Hr=float(Hr) RatePerHour=float(RatePerHour) except: print("Please enter valid entry") exit() print(computepay()) #print(NetGrossPay)
ca3966a88fae4251deb78a587564f7bb82d348ec
StrategyCode/CourseEra
/Assignment_12.2.py
617
3.578125
4
#To read the Web Content using URL and get the sum of all numeric Values. import urllib.request,urllib.error,urllib.parse import re from bs4 import BeautifulSoup sum=0 #Reading the content of Web Page #WebContent=urllib.request.urlopen('http://py4e-data.dr-chuck.net/comments_42.html').read() WebContent=urllib.request.urlopen('http://py4e-data.dr-chuck.net/comments_262655.html').read() soup=BeautifulSoup(WebContent,'html.parser') #Extracting the content of Comment NumContent=re.findall('class="comments">(.+?)<',soup.decode()) #Calculating the Total Sum for num in NumContent: sum=sum+int(num) print(sum)
2062897e73bd9d494b843b2853bb63cfa3010477
AzizIsa/python-challenge
/PyBank/main.py
1,738
3.765625
4
#Import necessary libriaries import os import csv import sys #Define average function def average(list): return int(sum(list) / len(list)) #Create a path for the file csvpath = os.path.join('Resources', 'budget_data.csv') # Open the csv file with open(csvpath, newline='') as csvfile: # read the file csvreader = csv.reader(csvfile, delimiter = ',') #To avoid from the 1st row (header) csv_header = next(csvreader) #Convert the data to list сsv_reader = list(csvreader) #Calculate the total number of months included in the dataset rowcount = len(сsv_reader) #Empty list to place data of the differences of each row. change=[] #Calculate the total net amount of "Profit/Losses" over the entire period total = 0 for row in сsv_reader: total = total + int(row[1]) change.append(int(row[1])) #Calculate the average change in "Profit/Losses" between months over the entire period diff = [change[i]-change[i-1] for i in range(1,len(change))] ##Using Custom average function above totalaverage = average(diff) greatestInc= max(diff) greatestDec = min(diff) #Find months of max & min values. max_index = diff.index(greatestInc) max_month = сsv_reader[max_index+1][0] min_index = diff.index(greatestDec) min_month = сsv_reader[min_index+1][0] #Uncomment the line below to export the results into txt file. #sys.stdout= open('output.txt', 'w') print(f"Total Months: {rowcount}") print(f"Total: ${total}") print(f"Average Change: ${totalaverage}") print(f"Greatest Increase in Profits: {max_month} (${greatestInc})") print(f"Greatest Decrease in Profits: {min_month} (${greatestDec})")
48f2cb31b76fb208e71f6ffe91d372979886dd47
harshagl2002/COVID_CLI
/Province_CovidTracker.py
2,835
3.53125
4
import requests import json import datetime def province(): url = "https://covid-19-statistics.p.rapidapi.com/reports" ISO = input("Enter the ISO code of the country that you would like to search for.(ISO code of India is IND. ISO code of New Zealand is NZ): ") province = input("Enter the province you would like to search for: ") date = input("Enter the date (yyyy-mm-dd) you would like to search for: ") year,month,day = date.split('-') isValidDate = True try : datetime.datetime(int(year),int(month),int(day)) except ValueError : isValidDate = False if(isValidDate) : querystring = {"date":date,"iso":ISO,"region_province":province} headers = { 'x-rapidapi-key': "574d25f133msh5c58c65e8a4c944p1e6b8fjsnee1da55d91cd", 'x-rapidapi-host': "covid-19-statistics.p.rapidapi.com" } response = requests.request("GET", url, headers=headers, params=querystring) data = response.text parsed = json.loads(data) if len(parsed["data"]) == 0: print("Data not available") else: data_dict = parsed["data"][0] print() print("NEW CASES in", province, "on", date, "is", data_dict["confirmed_diff"]) print("TOTAL number of cases in", province, "till", date, "is", data_dict["confirmed"]) print("ACTIVE number of cases in", province, "on,", date, "is", data_dict["active"]) print("Number of DEATHS recored in", province, "on", date, "is", data_dict["deaths_diff"]) print("Number of RECOVERIES recorded in", province, "on", date, "is", data_dict["recovered_diff"]) else: print("You have entered an invalid date. Kindly enter a valid date") date = input("Enter the date (yyyy-mm-dd) you would like to search for: ") querystring = {"date":date,"iso":ISO,"region_province":province} headers = { 'x-rapidapi-key': "574d25f133msh5c58c65e8a4c944p1e6b8fjsnee1da55d91cd", 'x-rapidapi-host': "covid-19-statistics.p.rapidapi.com" } response = requests.request("GET", url, headers=headers, params=querystring) data = response.text parsed = json.loads(data) if len(parsed["data"]) == 0: print("Data not available") else: data_dict = parsed["data"][0] print() print("NEW CASES in", province, "on", date, "is", data_dict["confirmed_diff"]) print("TOTAL number of cases in", province, "till", date, "is", data_dict["confirmed"]) print("ACTIVE number of cases in", province, "on,", date, "is", data_dict["active"]) print("Number of DEATHS recored in", province, "on", date, "is", data_dict["deaths_diff"]) print("Number of RECOVERIES recorded in", province, "on", date, "is", data_dict["recovered_diff"])
913d183c3e9b8d62e2637c2f4bef9748c0923f83
LostRob/Paradise
/水仙花数.py
196
3.609375
4
a = int(input( 'a = ')) x = int(a//100) y = int((a//10)%10) z = int(a%10) if (x ** 3 + y ** 3 + z ** 3) == x * 100 + y * 10 + z: print('是水仙花数') else: print('不是水仙花数')
b00bc36b3d68b0ecdb14f3b8906e032593a74038
SuryaNMenon/Python
/Functions/shapeArea.py
699
4.03125
4
def circArea(): radius = int(input("Enter radius")) print("Area =", (3.14 * radius**2)) def triArea(): base = int(input("Enter base")) height = int(input("Enter height")) print("Area =", (0.5 * base * height)) def recArea(): length = int(input("Enter length")) breadth = int(input("Enter breadth")) print("Area =", length*breadth) def squArea(): side = int(input("Enter side")) print("Area=", (side*side)) while(1): choice = int(input("Menu\n1)Circle Area\n2)Triangle Area\n3)Rectangle Area\n4)Square area\nEnter your choice: ")) if choice == 1: circArea() elif choice == 2: triArea() elif choice == 3: recArea() elif choice == 4: squArea() else: print("Wrong choice")
2327acffc2344bdbc183846ef128e0337d5367c3
SuryaNMenon/Python
/Classes/rectangleClass.py
343
3.90625
4
class Rectangle: def __init__(self,length,width): self.length = length self.width = width def Area(self): print(f"Area = {self.length * self.width}") def Perimeter(self): print(f"Perimeter = {2*(self.length + self.width)}") rec1 = Rectangle(5,10) rec2 = Rectangle(20,10) rec1.Area() rec2.Perimeter()
7df9906b8a9cc0b658ed28494a8598c0948625ec
SuryaNMenon/Python
/Dictionaries/mapLists.py
295
4.03125
4
userlist1 = [] userlist2 = [] for iter in range(int(input("Enter the number of keys"))): userlist1.append(input("Enter key: ")) for iter in range(int(input("Enter the number of values"))): userlist2.append(input("Enter value: ")) userdict = dict(zip(userlist1,userlist2)) print(userdict)
ae9a97b3fb40b8285182bb65d435f836de70ada6
SuryaNMenon/Python
/Functions/timeAndCalendar.py
543
4.21875
4
import calendar,time def localTime(): localtime = time.asctime(time.localtime(time.time())) print(f"Current local time is {localtime}") def displayCalendar(): c = calendar.month(int(input("Enter year: ")),int(input("Enter month: "))) print("The calendar is:\n",c) while(1): choice = int(input("Menu\n1)Show current local time\n2)Show calendar for a month\n3)Exit\nEnter your choice: ")) if choice ==1: localTime() elif choice == 2: displayCalendar() elif choice == 3: exit(1) else: print("Wrong choice")
a71788020b4f3fb954314330c388705e504a56dc
SuryaNMenon/Python
/Other Programs/whileCountdown.py
192
4.21875
4
#Program to print a countdown using user input range and while loop high = int(input("Please enter the upper limit of the range")) i=high while i>-1: print(i) i-=1 print("Blast off!")
fb5c157023bdc1099b78647dcf39010377639d26
SuryaNMenon/Python
/Files/writeAndRead.py
284
3.625
4
with open("/Ghosty's Files/Programming/Python/Files/testfile4.txt","a") as file: file.write(input("Enter data to be inserted into the file. EOL = NewLine")) with open("/Ghosty's Files/Programming/Python/Files/testfile4.txt", "r") as file: for line in file: print(line)
8c2bbc0c0175bc8883d9fe65cbca3511dbefd81e
SuryaNMenon/Python
/Other Programs/leapYear.py
217
4.3125
4
#Program if user input year is leap year or not year = int(input('Enter the year')) if(year%4==0 or year%100==0 or year%400==0): print('Given year is a leap year') else: print('Given year is not a leap year')
6feb3063ad9b8e229f56dd16dc7c9c7a525bf1d5
SuryaNMenon/Python
/Other Programs/factorial.py
187
4.34375
4
#Program to print factorial of user input number num = int(input('Enter the number\n')) fact = 1 for iter in range(1,num+1): fact = fact * iter print('Factorial of', num, 'is', fact)
6722bc1f4b416b80bf6211d900e3444c27abd2b9
bigsnarfdude/d3py
/d3py/css.py
2,020
3.671875
4
#!/usr/bin/python class CSS: """ a CSS object is a dictionary whose keys are CSS selectors and whose values are dictionaries of CSS declarations. This object is named according to the definition of CSS on wikipedia: A style sheet consists of a list of rules. Each rule or rule-set consists of one or more selectors and a declaration block. A declaration-block consists of a list of declarations in braces. Each declaration itself consists of a property, a colon (:), a value. """ def __init__(self, css=None): self.rules = css or {} assert isinstance(self.rules, dict) def __getitem__(self, selector): "returns the dictionary of CSS declarations, given a selector" return self.rules[selector] def __setitem__(self, selector, declarations): "adds a dictionary of CSS declarations to the specified selector" assert isinstance(declarations, dict) if selector in self.rules: self.rules[selector].update(declarations) else: self.rules[selector] = declarations def __add__(self, css): if isinstance(css, dict): for selector, declarations in css.iteritems(): try: self.rules[selector].update(declarations) except KeyError: self.rules[selector] = declarations return self elif isinstance(css, CSS): return self.__add__(css.rules) else: errmsg = "Unsupported addition between %s and %s" raise Exception(errmsg % (type(self), type(css))) def __str__(self): css = "" for selector, declarations in self.rules.iteritems(): css += "%s {\n" % selector for prop, value in declarations.iteritems(): if value is None: value = "none" css += "\t%s: %s;\n" % (prop, value) css += "}\n\n" return css
5493d5308b986e4efd6bfed3687712872d76bc35
hyjae/udemy-data-wrangling
/DataCleaning/audit.py
2,698
4.21875
4
""" Observation of types - NoneType if the value is a string "NULL" or an empty string "" - list, if the value starts with "{" - int, if the value can be cast to int - float, if the value can be cast to float, but CANNOT be cast to int. For example, '3.23e+07' should be considered a float because it can be cast as float but int('3.23e+07') will throw a ValueError - 'str', for all other values The type() function returns a type object describing the argument given to the function. You can also use examples of objects to create type objects, e.g. type(1.1) for a float: see the test function below for examples. """ import codecs import csv import json import pprint CITIES = 'cities.csv' FIELDS = ["name", "timeZone_label", "utcOffset", "homepage", "governmentType_label", "isPartOf_label", "areaCode", "populationTotal", "elevation", "maximumElevation", "minimumElevation", "populationDensity", "wgs84_pos#lat", "wgs84_pos#long", "areaLand", "areaMetro", "areaUrban"] """ Note: A set is unordered collection with no duplicate elements. Curly braces or set function can be used to create sets. """ def check_type(value, isInt): if isInt: try: int(value) return True except ValueError: return False else: try: float(value) return True except ValueError: return False def audit_file(filename, fields): fieldtypes = {} for field in fields: fieldtypes[field] = set() with open(filename, 'r') as f: reader = csv.DictReader(f) """ for i in range(3): l = reader.next() """ for i, datum in enumerate(reader): if i == 2: break for datum in reader: for key, value in datum.items(): if key in fields: if value == 'NULL' or value == '': fieldtypes[key].add(type(None)) elif value[0] == '{': fieldtypes[key].add(type([])) elif check_type(value, True): fieldtypes[key].add(type(1)) elif check_type(value, False): fieldtypes[key].add(type(1.1)) else: fieldtypes[key].add(type('str')) f.close() return fieldtypes def test(): fieldtypes = audit_file(CITIES, FIELDS) pprint.pprint(fieldtypes) assert fieldtypes["areaLand"] == set([type(1.1), type([]), type(None)]) assert fieldtypes['areaMetro'] == set([type(1.1), type(None)]) if __name__ == "__main__": test()
d203e5505f5db11247c9235d678999ed345e5d61
PrathmeshPure/fun-py-programs
/file-translator-using-googleapi.py
4,098
3.734375
4
''' by: Prathmesh Pure This program is written to translate small text or srt files from original language to target language. Source language is detected automatically. This program is just passing a string and language code to google translate api and takes response from api and displays only translated text. Language codes are mentioned at the end of file. ''' from urllib.request import Request, urlopen def translate(to_translate, to_langage="auto"): # agents are required to request, else google gives 403 error agents = {'User-Agent': "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.04506.30)"} link = "http://translate.google.com/m?hl=en&sl=auto&tl=%s&q=%s" % (to_langage, to_translate.replace(" ", "+")) # https://translate.google.com/m?hl=en&sl=auto&tl=hi&q=ti+amo <- sample url request = Request(link, headers=agents) page = urlopen(request).read() ''' Translated text on html page is written between following tag <div dir="ltr" class="t0"></div> ''' before_trans = b'class="t0">' n = len(before_trans) frm = page.find(before_trans) + n result = page[frm:] result = result.split(b"<")[0] # decode() is required to write text in utf-8 again return result.decode() def main(src, dest, ln): srcfile = open(src, "r", encoding="utf-8-sig") destfile = open(dest, "w", encoding="utf-8-sig") for line in srcfile: trans = translate(line, "hi")+"\n" destfile.writelines(trans) destfile.close() srcfile.close() if __name__ == '__main__': srcfile = "NFO.txt" destfile = "File2.txt" lang = "hi" # hi = hindi, en = english likewise other also print(main(srcfile, destfile, lang)) ''' LANGUAGES = { 'af': 'afrikaans', 'sq': 'albanian', 'am': 'amharic', 'ar': 'arabic', 'hy': 'armenian', 'az': 'azerbaijani', 'eu': 'basque', 'be': 'belarusian', 'bn': 'bengali', 'bs': 'bosnian', 'bg': 'bulgarian', 'ca': 'catalan', 'ceb': 'cebuano', 'ny': 'chichewa', 'zh-cn': 'chinese (simplified)', 'zh-tw': 'chinese (traditional)', 'co': 'corsican', 'hr': 'croatian', 'cs': 'czech', 'da': 'danish', 'nl': 'dutch', 'en': 'english', 'eo': 'esperanto', 'et': 'estonian', 'tl': 'filipino', 'fi': 'finnish', 'fr': 'french', 'fy': 'frisian', 'gl': 'galician', 'ka': 'georgian', 'de': 'german', 'el': 'greek', 'gu': 'gujarati', 'ht': 'haitian creole', 'ha': 'hausa', 'haw': 'hawaiian', 'iw': 'hebrew', 'hi': 'hindi', 'hmn': 'hmong', 'hu': 'hungarian', 'is': 'icelandic', 'ig': 'igbo', 'id': 'indonesian', 'ga': 'irish', 'it': 'italian', 'ja': 'japanese', 'jw': 'javanese', 'kn': 'kannada', 'kk': 'kazakh', 'km': 'khmer', 'ko': 'korean', 'ku': 'kurdish (kurmanji)', 'ky': 'kyrgyz', 'lo': 'lao', 'la': 'latin', 'lv': 'latvian', 'lt': 'lithuanian', 'lb': 'luxembourgish', 'mk': 'macedonian', 'mg': 'malagasy', 'ms': 'malay', 'ml': 'malayalam', 'mt': 'maltese', 'mi': 'maori', 'mr': 'marathi', 'mn': 'mongolian', 'my': 'myanmar (burmese)', 'ne': 'nepali', 'no': 'norwegian', 'ps': 'pashto', 'fa': 'persian', 'pl': 'polish', 'pt': 'portuguese', 'pa': 'punjabi', 'ro': 'romanian', 'ru': 'russian', 'sm': 'samoan', 'gd': 'scots gaelic', 'sr': 'serbian', 'st': 'sesotho', 'sn': 'shona', 'sd': 'sindhi', 'si': 'sinhala', 'sk': 'slovak', 'sl': 'slovenian', 'so': 'somali', 'es': 'spanish', 'su': 'sundanese', 'sw': 'swahili', 'sv': 'swedish', 'tg': 'tajik', 'ta': 'tamil', 'te': 'telugu', 'th': 'thai', 'tr': 'turkish', 'uk': 'ukrainian', 'ur': 'urdu', 'uz': 'uzbek', 'vi': 'vietnamese', 'cy': 'welsh', 'xh': 'xhosa', 'yi': 'yiddish', 'yo': 'yoruba', 'zu': 'zulu', 'fil': 'Filipino', 'he': 'Hebrew' } '''
4afad85b6bcbaf932ee7a4754308804db627d963
kalyanrohan/ASSIGNMENTS
/FIBONACCI.py
246
4.15625
4
#0,1,1,2,3,5,8 def fibonacci(n): if n <= 1: return n else: return(fibonacci(n-1) + fibonacci(n-2)) nterms = int(input("n= ")) print("Fibonacci sequence:") for i in range(nterms): print(fibonacci(i))
1df3bc87016ad046ffc4c7a27108e943ae84da27
kalyanrohan/ASSIGNMENTS
/level2excercise.py
1,187
4.6875
5
#LEVEL 2 """ 1.Using range(1,101), make a list containing only prime numbers. """ prime=[x for x in range(2,101) if x%2!=0 and x%3!=0 and x%5!=0 and x%7!=0] print(prime) """ 2.Initialize a 2D list of 3*3 matrix. E.g.- 1 2 3 4 5 6 7 8 9 Check if the matrix is symmetric or not. """ """ 3. Sorting refers to arranging data in a particular format. Sort a list of integers in ascending order ( without using built-in sorted function ). One of the algorithm is selection sort. Use below explanation of selection sort to do this. INITIAL LIST : 2 3 1 45 15 First iteration : Compare every element after first element with first element and if it is larger then swap. In first iteration, 2 is larger than 1. So, swap it. 1 3 2 45 15 Second iteration : Compare every element after second element with second element and if it is larger then swap. In second iteration, 3 is larger than 2. So, swap it. 1 2 3 45 15 Third iteration : Nothing will swap as 3 is smaller than every element after it. 1 2 3 45 15 Fourth iteration : Compare every element after fourth element with fourth element and if it is larger then swap. In fourth iteration, 45 is larger than 15. So, swap it. 1 2 3 15 45 """
1ff75c4685f869eece4ada6af2fb00769e251097
JudgeVector/Projects
/SOLUTIONS/Text/CountVowels.py
636
4.1875
4
""" Count Vowels - Enter a string and the program counts the number of vowels in the text. For added complexity have it report a sum of each vowel found. """ vowels = ['a','e','i','o','u'] vowel_count = [0,0,0,0,0] def count_vowels(s): for i in range(0, len(s)): if s[i] in vowels: for j in range(0, len(vowels)): if s[i] is vowels[j]: vowel_count[j] += 1 total = 0 for v in range(0, len(vowel_count)): total += vowel_count[v] print(vowels[v] + ' : ' + str(vowel_count[v])) return total print('Total number of vowels: ' + str(count_vowels(input('Enter a word or phrase to count the vowels: ').lower())))
47d3b0a870d32315963196eef208d39be488c468
lduran2/dev.array-problems.in-python
/p01B-missing-number-sorted
5,602
4.25
4
#!/usr/bin/env python3 r''' ./p01B-missing-number-sorted This program finds the missing number in a list of integers. This implementation is optimized for sorted lists through use of binary search. * by: Leomar Duran <https://github.com/lduran2> * date: 2019-06-28T23:53ZQ * for: https://dev.to/javinpaul/50-data-structure-and-algorithms-\ problems-from-coding-interviews-4lh2 ''' import random # for picking the missing number import logging # for logging import sys # for command line arguments def main( min = 1, # the minimum value in the array to generate max = 100, # the maximum value in the array to generate print = print # the printing function ): r''' Tests the find_missing function on a shuffled array from 1 to 100. ''' # generate the list of numbers NUMBERS = generate_missing_number_list(min, max) # find the missing number MISSING = find_missing(NUMBERS, min, max) # The output: print('The array:') print(NUMBERS) print() print('The missing number is ', MISSING, '.', sep='') def find_missing(numbers, min, max): r''' Finds the number missing in the array of integers @numbers whose elements are in the interval [min, max]. {1} Calculates the rightmost index for a binary search. {2} Uses binary search to find the number before the missing. {3} The missing number is one more than the number found. ''' RIGHT = ((max - min) - 1) #{1} INDEX = binary_search(numbers, RIGHT, #{2} missing_number_arithpredicate) MISSING = (numbers[INDEX] + 1) #{3} return MISSING def missing_number_arithpredicate(subject): r''' This arithpredicate uses the number at $list[mid], and returns -1 if the number and the following number are as expected, 0 if only the current number is as expected and the following are not, or +1 if the current number is not expected. A number $list[index] is expected if it equals $(list[0] + index). {1} Divides up the @subject parameter. {2} Finds the minimum, actual current element, and calculates the expected element. {3} Compares the actual and expected current elements. {4} If the actual is less or equal, {5} checks that the next elemet is still within range, and if so, return 0, avoiding index overflow. {6} checks whether the next element is greater than one more than the current, and if so, return 0. If neither {5,6}, the comparator will be negative. If not {4}, the comparator will be positive. {7} Returns the comparator. ''' (index, list, off, len) = subject #{1} #{2} MIN = list[0] ELEMENT = list[index] EXPECTED = (index + MIN) comparison = (ELEMENT - EXPECTED) #{3} if (comparison <= 0): #{4} if ((index + 1) == len): #{5} return 0 NEXT = list[index + 1] #{6} comparison = (NEXT - (ELEMENT + 2)) if (comparison > 0): comparison = 0 return comparison #{7} def binary_search(list, right, arithpredicate, left = 0, default = -1): r''' Searches the list within indices in the interval [left, right] for an element that satisfies the given arithpredicate. Starts with the entire list as the sublist. {1} Loops until the sublist is empty. {2} Calculates the midpoint of the sublist. {3} Tests the element at the midpoint with the arithpredicate. {4} If the element is too low, shifts the left endpoint of the sublist to the midpoint {5} If the element is too high, shifts the right endpoint of the sublist to the endpoint {6} Otherwise, returns the midpoint. {7} If the sublist is empty, returns $default. params: list -- the list to search right -- the index of the rightmost endpoint of the list arithpredicate -- an arithpredicate with which to search the list left -- the index of the leftmost endpoint of the list default -- the default index to return returns: the index of the element satisfying the arithpredicate, or $default (-1 by default) if no such element is found ''' LEN = (right + 1) # the length of the entire list logging.debug(r'Searching through list of size: %d...', LEN) while (left <= right): #{1} MID = ((left + right) >> 1) #{2} logging.debug(r' Midpoint: %d', MID) COMPARISON = arithpredicate((MID, list, left, LEN)) #{3} if (COMPARISON < 0): #{4} left = (MID + 1) elif (COMPARISON > 0): #{5} right = (MID - 1) else: #{6} return MID return default #{7} def generate_missing_number_list(min, max): r''' Generates a list of shuffled numbers in the interval [min, max] with one number missing. {1} Chooses a random number in the interval [min, max[ to replace. {2} Creates an list in the interval [min, max], skipping the number to replace. params: min -- the minimum value in the list max -- the maximum value in the list ''' MISSING = random.randrange(min, max) #{1} logging.debug(r'Missing number chosen: %d', MISSING) numbers = [x for x in range(min, (max + 1)) if (x != MISSING)] #{2} return numbers if (r'__main__' == __name__): # if '--debug' flag was given in command line arguments, # place the logger in debug mode if (r'--debug' in sys.argv): logging.basicConfig(level=logging.DEBUG) main()
eeb30e32b2a5b095987e5be0d0249c84328838dc
mwanchap/Oiler
/problem1.py
561
3.765625
4
def getSumOfMultiples(baseNum, count): the_sum = baseNum max_value = int(count/baseNum) + 1 for i in range(2, max_value): the_sum += baseNum * i return the_sum def sumDivisibleBy(number, count): the_max = int(count/number) return int(number * (the_max * (the_max + 1)) /2) count = 999 # attempt 1 count2 = getSumOfMultiples(3, count) + getSumOfMultiples(5, count) - getSumOfMultiples(15, count) print(count2) # attempt 2 count3 = sumDivisibleBy(3, count) + sumDivisibleBy(5, count) - sumDivisibleBy(15, count) print(count3)
73bb14c9e8453d5131fba8c15782a09a23860b28
glennsvel90/Navy_Weather_Data_Analyzer
/navywDB.py
8,544
3.828125
4
from datetime import date, datetime, timedelta from tkinter import messagebox import sqlite3 import NavyWWeb class NavyWDB(): """ Create and manages a database that stores local cache of all weather data that's been downloaded from the internet. """ def __init__(self, **kwargs): """ open the database """ self.filename = kwargs.get('filename', 'navyw.db') self.table = kwargs.get('table', 'weather') #open a database, or create a new one if none is found.Store the reference to the database in the class db variable self.db = sqlite3.connect(self.filename) self.db.row_factory = sqlite3.Row # if table does not exist, will create a new table with the following columns self.db.execute("""CREATE TABLE IF NOT EXIST {} (Date TEXT, Time TEXT, Status Text, Air_Temp FLOAT, Barometric Press FLOAT, Wind_Speed FLOAT""".format(self.table)) def get_data_for_range(self, start, end): """ Using the start and end dates, return a generator of dictionaries that have all weather data, such as Wind Speed, Barometric Pressure, and Wind Speed in those dates. """ #This funtion is called by the NavyWApp module. dates_to_update = [] # find pre-2007 dates and add to list of dates to be updated # by checking if there is no data for a Jan 12 date in that given year in the database for year in range(start.year, 2007): if list(self._get_status_for_range(date(year,1,12), date(year,1,12))) == []: dates_to_update.append(date(year,1,12)) # before finding post-2006 dates first find a temporary start date either on or after jan 1 2007 if (end.year > 2006) and (start >= date(2007,1,1)): temp_start = start elif (end.year > 2006) and (start < date(2007,1,1)): temp_start = date(2007,1,1) else: temp_start = end # obtains dates between temp_start and end for dates post 2006, then adds these dates to "dates to update" list delta = end - temp_start for d in range(delta.days +1): dates_to_update.append(temp_start + timedelta(days=d)) # convert the dictionary of dictionaries that comes out from using the "get status for range" function # into a list of dictionaries containing the key Date and its value, and the # key Status and it's value statuses = list(self._get_status_for_range(temp_start, end)) # for each dictionary in the above statuses list, if the key of status is 'complete', remove the datetime object from the list of dates to be updated. From the # the reading of the database when turned the python datetime date into a string from the "get status for range" function, the statuses list created has # a string form of the date. Convert that string form date into a datetime in order to specify the removal of the date time from "dates to update list" for entry in statuses: if entry['Status'] == 'COMPLETE': dates_to_update.remove(datetime.strptime(str(entry['Date']), '%Y%m%d').date()) # if status is partial, download more data for the partial date. elif entry['Status'] == 'PARTIAL': try: # downloading of data is initiated through the "update data for date" function and it's inherent calling of navywweb module's "get data for # date" function self._update_data_for_date(datetime.strptime(str(entry['Date']), '%Y%m%d').date(), True) except: raise dates_to_update.remove(datetime.strptime(str(entry['Date']), '%Y%m%d').date()) error_dates = [] for day in dates_to_update: try: # download weather data for the days self._update_data_for_date(day, False) # for any errors that occur for the downloading of certain dates, capture the error and present it as a warning message except ValueError as e: error_dates.append(e) if error_dates != []: error_message = "There were problems accessing data for the following dates. They were not included in the results.\n" for day in error_dates: error_message += '\n{}'.format(day) messagebox.showwarning(title='Warning', message=error_message) # finally obtain the weather data from the database and create a generator object of dictionary of dictionaries cursor = self.db.execute('''SELECT Air_Temp, Barometric_Press, Wind_Speed FROM {} WHERE Date BETWEEN {} AND {}'''.format(self.table, start.strftime(%Y%m%d), end.strftime(%Y%m%d))) for row in cursor: yield dict(row) def get_status_for_range(self, start, end): """ Given a start and end date, return a generator of dicts containing the dates and their corresponding status value which is entered as either COMPLETE or PARTIAL. """ # from the multiple records of different timestamps for redunant dates between the start and end date, get one date result. # Turn the python dates datetime objects into string text form to be able to be added and be compatible with the database cursor = self.db.execute('''SELECT DISTINCT Date, Status FROM {} WHERE Date BETWEEN {} AND {}'''.format(self.table, start.strftime(%Y%m%d), end.strftime(%Y%m%d))) for row in cursor: yield dict(row) def _update_data_for_date(self, date, partial): """ Uses NavyWWeb module to download data for dates not already in the DB. If partial data exists, then it is deleted and re-downloaded completely """ # if partial data exist for that date, delete what is ever in the database for that specific date to avoid duplicate data. The date was initially a datetime # object, so turn it into a string to be read by the database to delete it. if partial: self.db.execute('DELETE FROM {} WHERE DATE = {}'.format(self.table, date.strftime('%Y%m%d'))) self.db.commit() try: #return a generator of dictionaries for the six fields in the database using the navywweb module's get_data_for_date function, set the generator # equal to data variable data = navywweb.get_data_for_date(date) except raise for entry in data: self.db.execute('''INSERT INTO {} (Date, Time, Status, Air_Temp, Barometric_Press, Wind_Speed) VALUES (?,?,?,?,?,?)'''.format(self.table), (entry['Date'].replace("_", ""), entry['Time'], entry['Status'], entry['Air_Temp'] entry['Barometric_Press'], entry['Wind_Speed'])) self.db.commit() def clear(self): """ Clears the database by dropping the current table. """ self.db.execute('DROP TABLE IF EXISTS {}'.format(self.table)) def close(self): """ closes the database in a safe way and delete the filename reference to it """ self.db.close() del self.filename
c1235b19604218e998ba053ac1549bc238a1bfe1
git484/leetcoding
/prime no check.py
219
3.890625
4
y=int(input("enter a no\n")) flag=1 for x in range(2, y, +1): if y%x == 0: print("Not prime") flag=0 break if flag==1: print("It is prime")
4241f67d8f7f09470233d34d60cc3da6ae7e80e1
avner-csumb/python-day4
/number_game.py
207
3.921875
4
low = int(raw_input('Enter low number: ')) high = int(raw_input('Enter high number: ')) # i = low # while i <= high: # print(i) # i += 1 my_list = range(low, high+1) for i in my_list: print(i)
ec3e44a582edfa4a939eb1b1f314302dea22c52f
zhangruochi/Book
/FluentPython/chapter2/bisect_module.py
628
3.53125
4
#!/usr/bin/env python3 #info #-name : zhangruochi #-email : [email protected] import bisect HAYSTACK = [1, 4, 5, 6, 8, 12, 15, 20, 21, 23, 23, 26, 29, 30] NEEDLES = [0, 1, 2, 5, 8, 10, 22, 23, 29, 30, 31] NEEDLES.reverse() for num in NEEDLES: position = bisect.bisect_right(HAYSTACK,num) print(position, end=",") print("") #找到成绩对应的 gradrs def grade_student(grade): return "ABCD"[bisect.bisect_left([60,70,80,90],grade)] print(grade_student(65)) import random my_list = [] for i in range(10): new_item = random.randrange(10 * 2) bisect.insort(my_list, new_item) print(my_list)
34f524b2719d445a465475d2ce564c810ac2badb
cy486/python
/cards_tools.py
3,757
3.734375
4
#记录所有的名片 card_list=[] def show_menu(): """显示菜单""" print("*" * 50) print("欢迎使用【名片管理系统】V1.0") print() print("1. 新增名片") print("2. 显示全部") print("3. 查询名片") print() print("0. 退出系统") print("*" * 50) def new_card(): """增加名片""" print("-" * 50) print("新增名片") #1.提示用户输入名片的详细信息 name_str = input("请输入姓名:") phone_str = input("请输入电话:") qq_str = input("请输入qq:") email_str = input("请输入邮箱:") #2.使用用户输入的信息建立一个名片字典 card_dict = {"name": name_str, "phone": phone_str, "qq": qq_str, "email": email_str} #3.将名片字典添加到列表中 card_list.append(card_dict) print(card_list) #4.提示用户添加成功 print("%s 的名片添加成功" %name_str) def show_all(): """显示所有名片""" print("-" * 50) print("显示所有名片") #判断是否存在名片记录,如果没有,提示用户并返回 if len(card_list) == 0: print("当前没有名片记录,请先添加") return #打印表头 for name in ["姓名","电话","qq","邮箱"]: print(name,end="\t\t") print("") #打印分割线 print("=" * 50) #遍历名片列表依次输出字典信息 for card_dict in card_list: print("%s\t\t" *4 %(card_dict["name"], card_dict["phone"], card_dict["qq"], card_dict["email"])) def find_card(): """搜索名片""" print("-" * 50) print("搜索名片") #1.提示用户要查询的姓名 find_name = input("请输入要搜索的姓名: ") #2.遍历名片列表,查询要搜索的姓名,如果没有,提示用户 for card_dict in card_list: if card_dict["name"]==find_name: print("姓名\t\t电话\t\tqq\t\t邮箱\t\t") print("=" * 50) print("%s\t\t" * 4 % (card_dict["name"], card_dict["phone"], card_dict["qq"], card_dict["email"])) deal_card(card_dict) break else: print("抱歉,没有找到 %s" % find_name) def deal_card(card_dict): """处理查找到的名片 :param card_dict: 查找到名片的字典 """ print(card_dict) action_str = input("请选择要执行的操作 " "【1】修改 【2】 删除 【0】 返回上级菜单") if action_str == "1": card_dict["name"] = input_card_info(card_dict["name"],"姓名:") card_dict["phone"] = input_card_info(card_dict["phone"] ,"电话:") card_dict["qq"] = input_card_info(card_dict["qq"],"qq:") card_dict["email"] = input_card_info(card_dict["email"],"邮箱:") print("修改名片成功") elif action_str == "2": card_list.remove(card_dict) print("删除名片成功") elif action_str == "0": pass def input_card_info(dict_value,tip_message): """ 输入名片信息 :param dict_value: 字典中原有的值 :param tip_message: 输入字典提示文字 :return: 如果用户输入值返回用户输入的值,用户没输入就返回原来的 """ result_str = input(tip_message) if len(result_str) > 0: return result_str else: return dict_value
f313f28359bae14970c42448354d98f346640793
neulab/tranx-study
/analysis/submissions/638965bbb0d66a5b0eae27d1324bbf89_task1-1_1596102935/task1-1/main.py
557
3.625
4
import random output = {} # generate random chars and ints and add them to a dictionary for i in range(100): character = (chr(random.randint(97, 122))) integer = random.randint(1, 20) if character in output: output[character].append(integer) else: output[character] = [integer] # sort dictionary for key in output: output[key] = sorted(output[key]) letters_sorted = sorted(output.items()) for (key,list) in letters_sorted: pair = str(key) for num in list: pair = pair + " " + str(num) print(pair)
1526c3057de6507187e3cc2f50f9d04e1c9b6df4
neulab/tranx-study
/analysis/submissions/34b1ef17e6625ba2350f6f1c169591a1_task2-1_1595488334/task2-1/main_patch.py
320
3.609375
4
# Example code, write your program here import pandas as pd import os os.mkdir("output") df = pd.read_csv('data.csv') # If you know the name of the column skip this first_col = df.columns[0] last_col = df.columns[-1] # Delete first df = df.drop([first_col, last_col], axis=1) df.to_csv('output/output.csv', index=False)
68473ef8a02dcf900cb061acbc7e1c852fbea181
neulab/tranx-study
/analysis/submissions/9dd43727b9246d7f2220b94ff43380cf_task1-1_1596138232/task1-1/main.py
684
3.796875
4
# Example code, write your program here import string import random from collections import defaultdict dict = defaultdict(list) def random_char(): letter = string.ascii_lowercase result = ''.join(random.choice(letter)) return result for i in range (1, 100): tempkey = random_char() tempval = random.randint(1, 20); dict[tempkey].append(tempval) print (dict) dict2 = dict.items() sorted_dict = sorted(dict2) for x in range(0,len(sorted_dict)): sorted_dict[x][1].sort() for x in range(0,len(sorted_dict)): print (sorted_dict[x][0], end= " ") for y in range (0, len(sorted_dict[x][1])): print (sorted_dict[x][1][y], end = " ") print()
0b3d42404a595e14ccf1a8089805f1f7e28401df
neulab/tranx-study
/analysis/submissions/0ed2dff1d23b0de1cfcf9edb0ba35b1c_task7-2_1591994712/task7-2/main.py
1,184
3.71875
4
# Example code, write your program here import matplotlib.pyplot as plt import pandas as pd import numpy as np def main(): df = pd.read_csv("StudentsPerformance.csv") grouped = df.groupby(['gender', 'race/ethnicity']) fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(20, 6)) bar_width = 0.35 for ax, subject in zip(axes, ['math', 'reading', 'writing']): avg_score = grouped[f"{subject} score"].mean() for key, shift in [('male', -0.5), ('female', 0.5)]: value = avg_score[key].to_list() shift *= bar_width ax.bar(np.arange(len(value)) + shift, value, width=bar_width, label=key.capitalize()) for i, v in enumerate(value): ax.text(i + shift, v + 2, f"{v:.2f}", ha='center', va='center') ax.set_xlabel("Race/Ethnicity") ax.set_ylabel("Average Scores") ax.set_xticklabels([0] + [x.split()[1] for x in avg_score['male'].index.to_list()]) ax.set_title(subject.capitalize()) ax.legend(loc="upper left") fig.suptitle("Scores by race/ethnicity and gender") fig.savefig("output/grouped_scores.png") if __name__ == '__main__': main()
2827ba2ce9df9c1e4174af53375b04a56f1b8981
neulab/tranx-study
/analysis/submissions/27570bb3cfcc304aeede0cdf6c2e2762_task2-1_1600789334/task2-1/main.py
472
3.640625
4
# Example code, write your program here import csv import pandas as pd #reader = csv.reader(open('data.csv', 'rb')) with open("data.csv", 'r') as reader,open("output.csv", 'w') as outFile: out = csv.writer(outFile,delimiter=',',quotechar='"') for row in reader: col = row.split(',') if len(col) >=6: outFile.write(col[1].strip()+","+col[2].strip()+","+col[3].strip()+","+col[4].strip()+","+"\n") outFile.close() reader.close()
0e4617ecbba8d6579b53c98087b96364e5dc6e83
neulab/tranx-study
/analysis/submissions/0ed2dff1d23b0de1cfcf9edb0ba35b1c_task1-1_1591986411/task1-1/main.py
463
3.640625
4
# Example code, write your program here import random import string from collections import defaultdict def main(): letters = [random.choice(string.ascii_lowercase) for _ in range(100)] numbers = [random.randint(1, 20) for _ in range(100)] d = defaultdict(list) for c, x in zip(letters, numbers): d[c].append(x) print("\n".join(f"{c} {' '.join(map(str, xs))}" for c, xs in sorted(d.items()))) if __name__ == '__main__': main()
44e9c95706879ed95d2dc9f2f4206dcfff1ac3d2
neulab/tranx-study
/analysis/submissions/10fb8132405b6c443addb06bc941f9e3_task1-1_1597089229/task1-1/main.py
633
3.703125
4
# Example code, write your program here import string import random num = [] num_paired = [] mydict = {} letter = string.ascii_lowercase res = ''.join(random.choice(letter) for i in range(100)) #print(res) for i in range(100): num.append(random.randint(1, 20)) #print(num) for i in range(100): for j in range(100): if res[i] == res[j]: num_paired.append(num[j]) num_paired.sort() mydict[res[i]] = num_paired num_paired = [] sorted_dict=sorted(mydict.items()) #print(sorted_dict) for i in sorted_dict: print(i[0], end=" ") for j in i[1]: print(j, end=" ") print()
6657bda6817d3be50fabbe73148becf243bee6f3
neulab/tranx-study
/analysis/submissions/0bd31633162f7a836160dd5b6359d29b_task2-1_1601661947/task2-1/main_patch.py
188
3.640625
4
import pandas as pd columns_needed = ["first_name","last_name","email","gender"] df = pd.read_csv('data.csv', usecols = columns_needed) df.to_csv(r'example_output/output.csv') print(df)
f945785dd904c59d4723a7ed0db600d45e180b54
kju2/euler
/problem067.py
1,013
3.75
4
""" By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23. 3 7 4 2 4 6 8 5 9 3 That is, 3 + 7 + 4 + 9 = 23. Find the maximum total from top to bottom in triangle.txt, a 15K text file containing a triangle with one-hundred rows. NOTE: This is a much more difficult version of Problem 18. It is not possible to try every route to solve this problem, as there are 299 altogether! If you could check one trillion (1012) routes every second it would take over twenty billion years to check them all. There is an efficient algorithm to solve it. """ from problem018 import triangle_sum def main(): """ >>> main() 7273 """ with open("problem067.txt") as f: triangle = f.read().splitlines() triangle = [[int(n) for n in line.split(' ')] for line in triangle] triangle.reverse() print(reduce(triangle_sum, triangle)[0]) if __name__ == "__main__": import doctest doctest.testmod()
9b3661b407e31b15525d7caa1f956252a28a9d99
kju2/euler
/problem047.py
1,265
3.703125
4
""" The first two consecutive numbers to have two distinct prime factors are: 14 = 2 * 7 15 = 3 * 5 The first three consecutive numbers to have three distinct prime factors are: 644 = 2^2 * 7 * 23 645 = 3 * 5 * 43 646 = 2 * 17 * 19. Find the first four consecutive integers to have four distinct primes factors. What is the first of these numbers? """ from itertools import count from prime import Primes def main(): """ >>> main() 134043 """ primes = Primes(10 ** 6) min_consecutive_valid_numbers = 4 distinct_prime_factors = 4 # next number after lower bound has to have at least distinct_prime_factors # of odd primes as prime factors lower_bound = (3 * 5 * 7 * 11) - 1 number = 0 consecutive_valid_numbers_count = 0 for number in count(lower_bound): if consecutive_valid_numbers_count == min_consecutive_valid_numbers: break if len(set(primes.factors_of(number))) == distinct_prime_factors: consecutive_valid_numbers_count += 1 else: consecutive_valid_numbers_count = 0 # print first number of the consecutive numbers print(number - distinct_prime_factors) if __name__ == "__main__": import doctest doctest.testmod()
15090f3167cc207f0cf64acb0b3c84e27bbf85c4
kju2/euler
/problem304.py
1,494
3.515625
4
""" http://projecteuler.net/problem=304 """ def fib(nth): """fib returns the nth fibonacci number.""" fib_matrix = [[1, 1], [1, 0]] if nth == 0: return 0 power(fib_matrix, nth - 1) return fib_matrix[0][0] def power(matrix, exponent): """power computes the power to a given matrix.""" if exponent == 0 or exponent == 1: return power(matrix, exponent / 2) multiply(matrix, matrix) if exponent % 2 != 0: multiply(matrix, [[1, 1], [1, 0]]) def multiply(matrix_a, matrix_b): """ multiply multiplies two matrixes. The result is saved to matrix_a and is given mod 1234567891011. """ x = matrix_a[0][0] * matrix_b[0][0] + matrix_a[0][1] * matrix_b[1][0] y = matrix_a[0][0] * matrix_b[0][1] + matrix_a[0][1] * matrix_b[1][1] z = matrix_a[1][0] * matrix_b[0][0] + matrix_a[1][1] * matrix_b[1][0] w = matrix_a[1][0] * matrix_b[0][1] + matrix_a[1][1] * matrix_b[1][1] matrix_a[0][0] = x % 1234567891011 matrix_a[0][1] = y % 1234567891011 matrix_a[1][0] = z % 1234567891011 matrix_a[1][1] = w % 1234567891011 def main(): """ Precomupted the primes in the file "problem304.txt" to reduce the runtime. >>> main() 283988410192 """ limit = 100000 primes = [int(i) for i in open("problem304.txt").readline().split(' ')] print(sum(fib(primes[n]) for n in range(limit)) % 1234567891011) if __name__ == "__main__": import doctest doctest.testmod()
53cf3eed32f2c405ee56e4b433e3180bc1aa1d77
kju2/euler
/problem033.py
1,362
4.15625
4
""" The fraction 49/98 is a curious fraction, as an inexperienced mathematician in attempting to simplify it may incorrectly believe that 49/98 = 4/8, which is correct, is obtained by cancelling the 9s. We shall consider fractions like, 30/50 = 3/5, to be trivial examples. There are exactly four non-trivial examples of this type of fraction, less than one in value, and containing two digits in the numerator and denominator. If the product of these four fractions is given in its lowest common terms, find the value of the denominator. """ from fractions import Fraction from operator import mul def main(): """ >>> main() 100 """ # not a curious fraction 30/50 or 77/77 curious_fractions = [] for numerator_tens in range(1, 10): for denominator_unit in range(1, 10): for cancler in range(1, 10): numerator = numerator_tens * 10 + cancler denominator = cancler * 10 + denominator_unit fraction1 = Fraction(numerator, denominator) fraction2 = Fraction(numerator_tens, denominator_unit) if fraction1 == fraction2 and numerator != denominator: curious_fractions.append(fraction1) print(reduce(mul, curious_fractions).denominator) if __name__ == "__main__": import doctest doctest.testmod()
b0d32f2891d07fb5f8e5ae9e803d549f68d30e51
kju2/euler
/problem005.py
1,244
4.0625
4
""" 2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder. What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20? """ def main(): """ divisible by 2 if step is 2 divisible by 3 if step is 3*2 divisible by 4 if step is 3*2**2 divisible by 5 if step is 5*3*2**2 divisible by 6 because of 2 and 3 divisible by 7 if step is 7*5*3*2**2 divisible by 8 if step is 7*5*3*2**3 divisible by 9 if step is 7*5*3*3*2**3 divisible by 10 if step is 7*5*3*3*2**4 divisible by 11 if step is 11*7*5*3*3*2**4 divisible by 11 if step is 11*7*5*3*3*2**4 divisible by 12 because of 2 and 6 divisible by 13 if step is 13*11*7*5*3*3*2**4 divisible by 12 because of 7 and 2 divisible by 15 because of 5 and 3 divisible by 16 because of 8 and 2 divisible by 17 if step is 17*13*11*7*5*3*3*2**4 divisible by 18 because of 9 and 2 divisible by 19 if step is 19*17*13*11*7*5*3*3*2**4 divisible by 20 because of 5 and 2 >>> main() 232792560 """ print(19 * 17 * 13 * 11 * 7 * 5 * 3 * 3 * (2 ** 4)) if __name__ == "__main__": import doctest doctest.testmod()
62c31161a0a2b0b85a00071db97210d1d3892454
HarshVikram/learning-python
/Python Syntax/if_else.py
287
4.09375
4
size = input('Enter the size of shirt: ') value = int(size) if value == 40: print(' is S') elif value == 42: print(size + ' is M') elif value == 44: print(size + ' is L') elif value > 44: print('Size is not available') else: print('We would have to place a custom order')
79a2518aa79292f1ddffd39a3f3b78f0d7e07e0e
Kuomenghsin/my-learning-note
/HW2/heap_sort_ 06111306.py
1,400
3.71875
4
#!/usr/bin/env python # coding: utf-8 # In[3]: class Solution(): def heap_sort(self, nums): self.nums = nums self.heapSort(nums) return nums def toHeap(self,arr, n, i): #堆積size = n bigest = i # 子樹根初始值 index = i L = 2*i + 1 # (左子節點) = 2*i + 1 由左子數計算樹根位址i R = 2*i + 2 # (右子節點) = 2*i + 2 由右子數計算樹根位址i # 左子節點存在而且大於父節點 if L < n and arr[i] < arr[L]: bigest = L # 右子節點存在而且大於父節點 if R < n and arr[bigest] < arr[R]: bigest = R # 更換父節點 if bigest != i: arr[i],arr[bigest] = arr[bigest],arr[i] # 兩兩交換 # 最後堆積樹根 self.toHeap(arr, n, bigest) # 主程式根據串列sort def heapSort(self,arr): n = len(arr) #串列大小 # 建立maxheap串列(父節點永遠大於子節點) for i in range(n, -1, -1): self.toHeap(arr, n, i) # One by one extract elements for i in range(n-1, 0, -1): arr[i], arr[0] = arr[0], arr[i] # 兩兩交換 self.toHeap(arr, i, 0) output=Solution().heap_sort([ 2, 4 ,7, 1, 21,-3, 64, 12, 11, 15, 4, 7, 8]) output # In[ ]:
f334ed11c9801ead3700cc0fa687ff7a81353643
kn0709/python
/gu_nu.py
762
3.796875
4
import random def number_game(in_val): number_range = [x for x in range(1,101)] rand_num = random.choice(number_range) if int(in_val) == rand_num: print("Amazing how did this happen") else: diff_num = int(in_val) - rand_num if diff_num < 0: print("You are just {} behind".format(diff_num * -1)) print("I have choosen {}".format(rand_num)) else: print("You are just {} ahaead".format(diff_num)) print("I have choosen {}".format(rand_num)) def main(): while True: user_option = raw_input("Do you want to play a Game (Yes/No): ") if user_option in ['Yes','Y','y','yes']: user_val = raw_input("Please guess a number between 1 to 100: ") number_game(user_val) continue else: break if __name__ == '__main__': main()
a3940af34ce7d808facbdb0ac67cdbbd17d50a23
xxrom/617_merge_two_binary_trees
/main.py
2,534
4.125
4
# Definition for a binary tree node. class Node: def __init__(self, val, left=None, right=None): self.val = val self.left = left self.right = right def __str__(self): return str(self.__dict__) class Solution: # print all values def printAll(self, root): if root.val != None: print(root.val) if root != None and root.left != None: self.printAll(root.left) if root != None and root.right != None: self.printAll(root.right) def mergeTrees(self, node0: Node, node1: Node) -> Node: # if one of the nodes exist if (node0 != None and node0.val != None) or (node1 != None and node1.val != None): # We use node0 as merged one (for answer), so init it if needed if node0 == None: node0 = Node(0) # Merge (add) value from node1 (another one tree) node0.val += node1.val if node1 != None and node1.val != None else 0 # Find out values from node1 childrens (like shortcuts) node1Left = node1.left if node1 != None and node1.left != None else None node1Right = node1.right if node1 != None and node1.right != None else None # If someone in the left/right exist, then merge deeper if node0.left != None or node1Left != None: node0.left = self.mergeTrees( node0.left, node1Left) if node0.right != None or node1Right != None: node0.right = self.mergeTrees( node0.right, node1Right) # merged tree - node0 (result) return node0 tree0 = Node(1, Node(3, Node(5)), Node(2)) tree1 = Node(2, Node(1, None, Node(4)), Node(3, None, Node(7))) my = Solution() merged = my.mergeTrees(tree0, tree1) my.printAll(merged) # 3 # 4 5 # 5 4 5 7 # with additional merged tree: # Runtime: 108 ms, faster than 5.41% of Python3 online submissions for Merge Two Binary Trees. # Memory Usage: 14.1 MB, less than 22.86% of Python3 online submissions for Merge Two Binary Trees. # without additional tree: # Runtime: 104 ms, faster than 9.26% of Python3 online submissions for Merge Two Binary Trees. # Memory Usage: 13.7 MB, less than 74.29% of Python3 online submissions for Merge Two Binary Trees. # Runtime: 96 ms, faster than 17.71% of Python3 online submissions for Merge Two Binary Trees. # Memory Usage: 13.8 MB, less than 68.57% of Python3 online submissions for Merge Two Binary Trees.
f1773013a4d82b0d140d882e87e25dd3a6205bc8
isaaczinda/route-planner
/tools/Geometry.py
3,274
3.75
4
import math import numpy as np def DifferenceBetweenDegrees(One, Two): Difference = abs(One - Two) if Difference <= 180: return Difference else: return abs(Difference - 360) # always returns an angle less than pi radians def AngleBetweenLines(LineOne, LineTwo): LengthOne = np.linalg.norm(np.array(LineOne)) LengthTwo = np.linalg.norm(np.array(LineTwo)) # normalize the vectors LineOne = np.array(LineOne) / LengthOne LineTwo = np.array(LineTwo) / LengthTwo # no need to divide by sum of lengths because these are both 1 CosTheta = np.dot(np.array(LineOne), np.array(LineTwo)) # can be one of two different things. ThetaValues = [math.acos(CosTheta), math.pi - math.acos(CosTheta)] # use the sum of normalized vectors to determine if the angle is less than or greater than 90 # if the angle if less than 90, we return something greater than 90 if np.linalg.norm(LineOne + LineTwo) < math.sqrt(2): # return the larger of the two theta values return sorted(ThetaValues)[1] # if the angle is greater than 90, we return something less than 90 else: # return the smaller of the two theta values return sorted(ThetaValues)[0] # vector points towards PointTwo def PointsToVector(PointOne, PointTwo): return [PointTwo[0] - PointOne[0], PointTwo[1] - PointOne[1]] # angle in radians def BearingToVector(Bearing, Strength=1): # convert bearing to angle return [math.cos(Bearing) * Strength, math.sin(Bearing) * Strength] # returns bearing in radians def AngleToBearing(Angle): # add 90 degrees to the angle AddedAngle = Angle + math.pi / 2.0 # flip the x component of the angle RawAngle = math.atan2(math.sin(AddedAngle), -math.cos(AddedAngle)) return RawAngle % (math.pi * 2) # takes bearing in radians returns degree in radians def BearingToAngle(Bearing): FlippedAngle = math.atan2(math.sin(Bearing), -math.cos(Bearing)) # add 90 degrees to the angle AddedAngle = FlippedAngle - math.pi / 2.0 # flip the x component of the angle return AddedAngle % (math.pi * 2) def VectorFromSpeedBearing(Speed, Bearing): x = math.cos(math.radians(Bearing)) * Speed y = math.sin(math.radians(Bearing)) * Speed return [x, y] # all angles in degrees # wind bearing is the direction that the wind is blowing not where it is coming from def SolveWindTriangle(WindBearing, WindStrength, Airspeed, PlaneBearing): # make sure that we don't allow any vectors with length 0 # if there is no wind, the airspeed is the actual speed if WindStrength == 0: return Airspeed GroundVector = BearingToVector(math.radians(PlaneBearing)) WindVector = BearingToVector(math.radians(WindBearing), Strength=WindStrength) GroundWindAngle = AngleBetweenLines(GroundVector, WindVector) # checked and good if WindStrength > Airspeed: raise ValueError("WindStrength must always be less than Airspeed") # this is SSA congruence; it works because the side opposite the known angle is always larger than the other side. AirGroundAngle = math.asin(WindStrength * math.sin(GroundWindAngle) / float(Airspeed)) # print "air ground", AirGroundAngle AirWindAngle = math.pi - (AirGroundAngle + GroundWindAngle) # assumed GroundLength = (math.sin(AirWindAngle) * Airspeed) / math.sin(GroundWindAngle) return GroundLength
2d3924eabaa80591b15c9b3530ca10b1aa0b20d7
adityaramkumar/LeetCode
/144.py
416
3.65625
4
# Runtime: 44 ms, faster than 37.20% of Python3 online submissions for Binary Tree Preorder Traversal. # Difficulty: Medium class Solution: def preorderTraversal(self, root): """ :type root: TreeNode :rtype: List[int] """ if not root: return [] return [root.val] + self.preorderTraversal(root.left) \ + self.preorderTraversal(root.right)
e7b383915b973dac1dd462df936a45c53e5b8c46
adityaramkumar/LeetCode
/125.py
452
3.828125
4
# Runtime: 80 ms, faster than 42.27% of Python3 online submissions for Valid Palindrome. # Difficulty: Easy class Solution: def isPalindrome(self, s): """ :type s: str :rtype: bool """ s = self.clean_string(s) return s == s[::-1] def clean_string(self, s): return ''.join([char.lower() for char in s if 48 <= ord(char) <= 57 or 65 <= ord(char) <= 90 or 97 <= ord(char) <= 122])