Reset23/the-stack-v2-blamed2 · Datasets at Hugging Face

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/lab1/encoders.py

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jando16407/ControlofMobileRobots

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refs/heads/master

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import time import RPi.GPIO as GPIO import signal import sys import tty import termios # Pins that the encoders are connected to LENCODER = 17 RENCODER = 18 left = 0 right = 0 # declare tuple #counts = ("Left count : ", str(left), ", RIght count : ", str(right)); # The det_ch method will determine which key has been pressed def det_ch(): aa = sys.stdin.fileno() settings = termios.tcgetattr(aa) try: tty.setraw(sys.stdin.fileno()) key = sys.stdin.read(1) finally: termios.tcsetattr(aa, termios.TCSADRAIN, settings) return key # This function is called when the left encoder detects a rising edge signal. def onLeftEncode(pin): global left left += 1 display_ticks() # This function is called when the right encoder detects a rising edge signal. def onRightEncode(pin): global right right += 1 display_ticks() # This function displays current number of left and right ticks def display_ticks(): sys.stdout.write('\r') sys.stdout.write("Left encoder ticked! ") sys.stdout.write(str(left)) sys.stdout.write(" : Right encoder ticked! ") sys.stdout.write(str(right)) sys.stdout.flush() # This function is called when Ctrl+C is pressed. # It's intended for properly exiting the program. def ctrlC(signum, frame): print(str(left)) print("\n", str(right)) print("\nExiting") GPIO.cleanup() exit() # This function resets the tick count def resetCounts(): print("RESETCOUNTS CALLED") global left global right left = 0 right = 0 # This function return the tuple of tick counts def getCounts(): print("GETCOUNTS CALLED\n") return (str(left), str(right)) # Attach the Ctrl+C signal interrupt signal.signal(signal.SIGINT, ctrlC) # Set the pin numbering scheme to the numbering shown on the robot itself. GPIO.setmode(GPIO.BCM) # Set encoder pins as input # Also enable pull-up resistors on the encoder pins # This ensures a clean 0V and 3.3V is always outputted from the encoders. GPIO.setup(LENCODER, GPIO.IN, pull_up_down=GPIO.PUD_UP) GPIO.setup(RENCODER, GPIO.IN, pull_up_down=GPIO.PUD_UP) # Attach a rising edge interrupt to the encoder pins GPIO.add_event_detect(LENCODER, GPIO.RISING, onLeftEncode) GPIO.add_event_detect(RENCODER, GPIO.RISING, onRightEncode) # Prevent the program from exiting by adding a looping delay. while True: time.sleep(1) key_input = det_ch() if key_input == "g": print(getCounts()) elif key_input == "r": resetCounts() elif key_input == "c": GPIO.cleanup() print("Exiting") exit()

[ "jando16407c@gmail.com" ]

jando16407c@gmail.com

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/ttbc.py

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import urllib import pandas as pd import pandas.io.data as web #from datetime import datetime import matplotlib.pyplot as plt import pickle as pk from pandas.tseries.offsets import BDay # pd.datetime is an alias for datetime.datetime #today = pd.datetime.today() import time #time.sleep(5) # delays for 5 seconds #today = pd.datetime.today() today = pd.datetime.today() yesterday = today - BDay(5000) p = web.DataReader("SPY", "yahoo",yesterday,today) #p = web.DataReader("YELP", "yahoo",yesterday,today) #print p.head() #print p.tail() #print len(p) up = 0 down = 0 N = 0 for i in range(len(p)-3): if p.at[p.index[i],'Open'] > p.at[p.index[i],'Close']: if p.at[p.index[i+1],'Open'] > p.at[p.index[i+1],'Close']: N = N + 1 if p.at[p.index[i+2],'Open'] >= p.at[p.index[i+2],'Close']: down = down + 1 else: up = up + 1 print "total = ",N print "up = ",up,"(",float(up)/N,")" print "down = ",down,"(",float(down)/N,")"

[ "aris@cmu.edu" ]

aris@cmu.edu

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/zpt/trunk/site-packages/zpt/_pytz/zoneinfo/US/Indiana_minus_Starke.py

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'''tzinfo timezone information for US/Indiana_minus_Starke.''' from zpt._pytz.tzinfo import DstTzInfo from zpt._pytz.tzinfo import memorized_datetime as d from zpt._pytz.tzinfo import memorized_ttinfo as i class Indiana_minus_Starke(DstTzInfo): '''US/Indiana_minus_Starke timezone definition. See datetime.tzinfo for details''' zone = 'US/Indiana_minus_Starke' _utc_transition_times = [ d(1,1,1,0,0,0), d(1918,3,31,8,0,0), d(1918,10,27,7,0,0), d(1919,3,30,8,0,0), d(1919,10,26,7,0,0), d(1942,2,9,8,0,0), d(1945,8,14,23,0,0), d(1945,9,30,7,0,0), d(1947,4,27,8,0,0), d(1947,9,28,7,0,0), d(1948,4,25,8,0,0), d(1948,9,26,7,0,0), d(1949,4,24,8,0,0), d(1949,9,25,7,0,0), d(1950,4,30,8,0,0), d(1950,9,24,7,0,0), d(1951,4,29,8,0,0), d(1951,9,30,7,0,0), d(1952,4,27,8,0,0), d(1952,9,28,7,0,0), d(1953,4,26,8,0,0), d(1953,9,27,7,0,0), d(1954,4,25,8,0,0), d(1954,9,26,7,0,0), d(1955,4,24,8,0,0), d(1955,10,30,7,0,0), d(1956,4,29,8,0,0), d(1956,10,28,7,0,0), d(1957,4,28,8,0,0), d(1957,9,29,7,0,0), d(1958,4,27,8,0,0), d(1958,9,28,7,0,0), d(1959,4,26,8,0,0), d(1959,10,25,7,0,0), d(1960,4,24,8,0,0), d(1960,10,30,7,0,0), d(1961,4,30,8,0,0), d(1961,10,29,7,0,0), d(1962,4,29,8,0,0), d(1963,10,27,7,0,0), d(1967,4,30,8,0,0), d(1967,10,29,7,0,0), d(1968,4,28,8,0,0), d(1968,10,27,7,0,0), d(1969,4,27,8,0,0), d(1969,10,26,7,0,0), d(1970,4,26,8,0,0), d(1970,10,25,7,0,0), d(1971,4,25,8,0,0), d(1971,10,31,7,0,0), d(1972,4,30,8,0,0), d(1972,10,29,7,0,0), d(1973,4,29,8,0,0), d(1973,10,28,7,0,0), d(1974,1,6,8,0,0), d(1974,10,27,7,0,0), d(1975,2,23,8,0,0), d(1975,10,26,7,0,0), d(1976,4,25,8,0,0), d(1976,10,31,7,0,0), d(1977,4,24,8,0,0), d(1977,10,30,7,0,0), d(1978,4,30,8,0,0), d(1978,10,29,7,0,0), d(1979,4,29,8,0,0), d(1979,10,28,7,0,0), d(1980,4,27,8,0,0), d(1980,10,26,7,0,0), d(1981,4,26,8,0,0), d(1981,10,25,7,0,0), d(1982,4,25,8,0,0), d(1982,10,31,7,0,0), d(1983,4,24,8,0,0), d(1983,10,30,7,0,0), d(1984,4,29,8,0,0), d(1984,10,28,7,0,0), d(1985,4,28,8,0,0), d(1985,10,27,7,0,0), d(1986,4,27,8,0,0), d(1986,10,26,7,0,0), d(1987,4,5,8,0,0), d(1987,10,25,7,0,0), d(1988,4,3,8,0,0), d(1988,10,30,7,0,0), d(1989,4,2,8,0,0), d(1989,10,29,7,0,0), d(1990,4,1,8,0,0), d(1990,10,28,7,0,0), d(1991,4,7,8,0,0), d(1991,10,27,7,0,0), d(2006,4,2,7,0,0), d(2006,10,29,6,0,0), d(2007,3,11,7,0,0), d(2007,11,4,6,0,0), d(2008,3,9,7,0,0), d(2008,11,2,6,0,0), d(2009,3,8,7,0,0), d(2009,11,1,6,0,0), d(2010,3,14,7,0,0), d(2010,11,7,6,0,0), d(2011,3,13,7,0,0), d(2011,11,6,6,0,0), d(2012,3,11,7,0,0), d(2012,11,4,6,0,0), d(2013,3,10,7,0,0), d(2013,11,3,6,0,0), d(2014,3,9,7,0,0), d(2014,11,2,6,0,0), d(2015,3,8,7,0,0), d(2015,11,1,6,0,0), d(2016,3,13,7,0,0), d(2016,11,6,6,0,0), d(2017,3,12,7,0,0), d(2017,11,5,6,0,0), d(2018,3,11,7,0,0), d(2018,11,4,6,0,0), d(2019,3,10,7,0,0), d(2019,11,3,6,0,0), d(2020,3,8,7,0,0), d(2020,11,1,6,0,0), d(2021,3,14,7,0,0), d(2021,11,7,6,0,0), d(2022,3,13,7,0,0), d(2022,11,6,6,0,0), d(2023,3,12,7,0,0), d(2023,11,5,6,0,0), d(2024,3,10,7,0,0), d(2024,11,3,6,0,0), d(2025,3,9,7,0,0), d(2025,11,2,6,0,0), d(2026,3,8,7,0,0), d(2026,11,1,6,0,0), d(2027,3,14,7,0,0), d(2027,11,7,6,0,0), d(2028,3,12,7,0,0), d(2028,11,5,6,0,0), d(2029,3,11,7,0,0), d(2029,11,4,6,0,0), d(2030,3,10,7,0,0), d(2030,11,3,6,0,0), d(2031,3,9,7,0,0), d(2031,11,2,6,0,0), d(2032,3,14,7,0,0), d(2032,11,7,6,0,0), d(2033,3,13,7,0,0), d(2033,11,6,6,0,0), d(2034,3,12,7,0,0), d(2034,11,5,6,0,0), d(2035,3,11,7,0,0), d(2035,11,4,6,0,0), d(2036,3,9,7,0,0), d(2036,11,2,6,0,0), d(2037,3,8,7,0,0), d(2037,11,1,6,0,0), ] _transition_info = [ i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CWT'), i(-18000,3600,'CPT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,0,'EST'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-21600,0,'CST'), i(-18000,3600,'CDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), i(-14400,3600,'EDT'), i(-18000,0,'EST'), ] Indiana_minus_Starke = Indiana_minus_Starke()

[ "chad@zetaweb.com" ]

chad@zetaweb.com

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/tests/test_space_time/test_type_helpers.py

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from aetherling.space_time.space_time_types import * from aetherling.space_time.type_helpers import * def test_same_type(): x = ST_TSeq(3, 0, ST_Int()) y = ST_TSeq(3, 0, ST_Int()) shared_diff = get_shared_and_diff_subtypes(x,y) assert shared_diff.diff_input == ST_Tombstone() assert shared_diff.diff_output == ST_Tombstone() assert shared_diff.shared_inner == x assert shared_diff.shared_outer == ST_Tombstone() def test_same_type_nested(): x = ST_TSeq(3, 0, ST_SSeq(4, ST_Int)) y = ST_TSeq(3, 0, ST_SSeq(4, ST_Int)) shared_diff = get_shared_and_diff_subtypes(x,y) assert shared_diff.diff_input == ST_Tombstone() assert shared_diff.diff_output == ST_Tombstone() assert shared_diff.shared_inner == x assert shared_diff.shared_outer == ST_Tombstone() def test_diff_no_outer_same(): x = ST_SSeq(6, ST_TSeq(3, 0, ST_SSeq(4, ST_Int))) y = ST_TSeq(3, 0, ST_SSeq(6, ST_SSeq(4, ST_Int))) shared_diff = get_shared_and_diff_subtypes(x,y) assert shared_diff.diff_input == ST_SSeq(6, ST_TSeq(3, 0, ST_Tombstone())) assert shared_diff.diff_output == ST_TSeq(3, 0, ST_SSeq(6, ST_Tombstone())) assert shared_diff.shared_inner == x.t.t assert shared_diff.shared_outer == ST_Tombstone() def test_diff_with_outer_same(): x = ST_TSeq(9, 2, ST_SSeq(6, ST_TSeq(3, 0, ST_SSeq(4, ST_Int)))) y = ST_TSeq(9, 2, ST_TSeq(3, 0, ST_SSeq(6, ST_SSeq(4, ST_Int)))) shared_diff = get_shared_and_diff_subtypes(x,y) assert shared_diff.diff_input == ST_SSeq(6, ST_TSeq(3, 0, ST_Tombstone())) assert shared_diff.diff_output == ST_TSeq(3, 0, ST_SSeq(6, ST_Tombstone())) assert shared_diff.shared_inner == x.t.t.t assert shared_diff.shared_outer == ST_TSeq(9, 2, ST_Tombstone()) def test_diff_with_partially_diff_inner(): x = ST_TSeq(9, 2, ST_SSeq(6, ST_SSeq(7, ST_TSeq(3, 0, ST_SSeq(4, ST_Int))))) y = ST_TSeq(9, 2, ST_TSeq(3, 0, ST_SSeq(7, ST_SSeq(6, ST_SSeq(4, ST_Int))))) shared_diff = get_shared_and_diff_subtypes(x,y) assert shared_diff.diff_input == ST_SSeq(6, ST_SSeq(7, ST_TSeq(3, 0, ST_Tombstone()))) assert shared_diff.diff_output == ST_TSeq(3, 0, ST_SSeq(7, ST_SSeq(6, ST_Tombstone()))) assert shared_diff.shared_inner == x.t.t.t.t assert shared_diff.shared_outer == ST_TSeq(9, 2, ST_Tombstone()) def test_diff_depths(): x = ST_TSeq(4, 12, ST_Int()) y = ST_TSeq(2, 2, ST_TSeq(2, 2, ST_Int())) shared_diff = get_shared_and_diff_subtypes(x,y) assert shared_diff.diff_input == ST_TSeq(4, 12, ST_Tombstone()) assert shared_diff.diff_output == ST_TSeq(2, 2, ST_TSeq(2, 2, ST_Tombstone())) assert shared_diff.shared_inner == ST_Int() assert shared_diff.shared_outer == ST_Tombstone()

[ "davidbdurst@gmail.com" ]

davidbdurst@gmail.com

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/tracker-visual/read_cluster.py

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2021-04-25T21:39:17.321302

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""" Quick script to dump FCCSW tracker validation data to plaintext spacepoints. Requires podio, fcc-edm in pythonpath and ld-library-path. """ from EventStore import EventStore import numpy as np import sys filename = sys.argv[1] basefilename = filename.replace(".root", "") events = EventStore([filename]) print 'number of events: ', len(events) pos_b = [] ids_b = [] pos_e = [] ids_e = [] barrel_ids = [] nEventsMax = 100000 #nEventsMax = 1 for i, store in enumerate(events): # Only run over 100000 events if i > nEventsMax: break # <class 'ROOT.fcc.PositionedTrackHitCollection'> clusters = store.get('positionedHits') #print clusters layerIdmax = 0 for c in clusters: #c is of type <class 'ROOT.fcc.PositionedTrackHit'> # <class 'ROOT.fcc.Point'> cor = c.position() layerId = (c.cellId() / 32) %32 if layerId > 20: print c.cellId(), c.cellId() % 32, c.cellId() / 32, (c.cellId() / 32) %32 if layerId > layerIdmax: layerIdmax = layerId if (c.cellId() % 32) == 0: # Select only the triplet layers #if (c.cellId() / 32) %32 == 20 or (c.cellId() / 32) %32 == 21 (c.cellId() / 32) %32 == 22: if (c.cellId() / 32) %32 == 1: # or (c.cellId() / 32) %32 == 21 (c.cellId() / 32) %32 == 22: pass pos_b.append([cor.x, cor.y, cor.z]) ids_b.append([c.bits(), c.cellId()]) #print c.cellId() % 32, np.sqrt(cor.x**2 + cor.y**2) #else: # pos_e.append([cor.x, cor.y, cor.z]) # ids_e.append([c.bits(), c.cellId()]) pos_e = np.array(pos_e) ids_e = np.array(ids_e) pos_b = np.array(pos_b) ids_b = np.array(ids_b) print "number of endcap hits: ", len(pos_e) print "number of barrel hits: ", len(pos_b) np.savetxt(basefilename + 'hit_positions_e.dat', pos_e) np.savetxt(basefilename + 'hit_ids_e.dat', ids_e, fmt="%i") np.savetxt(basefilename + 'hit_positions_b.dat', pos_b) np.savetxt(basefilename + 'hit_ids_b.dat', ids_b, fmt="%i")

[ "william.fawcett@cern.ch" ]

william.fawcett@cern.ch

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/VectorComplexLibrary.py

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[]

no_license

wilmer-rodriguez-r/LibraryComplexVectors

36e5fc8bb19219cee3db327ace7c2406c61aead3

9fa83a829aaeb1e869376e4000389cf9b2ca941f

refs/heads/master

2023-03-02T17:04:03.423077

2021-02-09T15:07:34

336,027,282

0

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Python

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5,704

py

# Librería de funciones para vectores y matrices complejos import numpy as np def auxiliar(matriz_vector): # función que corrobora si es una matriz o un arreglo devolviendo la cantidad de columnas de este try: column = len(matriz_vector[0]) return column except TypeError: column = 1 return column def auxiliar_1(matriz_vector): # función que corrobora si es una matriz o un arreglo devolviendo un valor booleano try: len(matriz_vector[0]) return True except TypeError: return False def auxiliar_2(num_complex): # función que conjuga los números complejos real = num_complex.real imaginaria = -1 * num_complex.imag if imaginaria == 0: imaginaria = 0 if imaginaria < 0: num = str(real) + str(imaginaria) + 'j' else: num = str(real) + '+' + str(imaginaria) + 'j' return complex(num) def vectorSumaComplex(vector_1, vector_2): for i in range(len(vector_1)): vector_1[i] = vector_1[i] + vector_2[i] return vector_1[:] def vectorInverComplex(vector): for i in range(len(vector)): vector[i] = -1 * vector[i] return vector[:] def vectorMultEsComplex(vector, escalar): for i in range(len(vector)): vector[i] = escalar * vector[i] return vector[:] def matrizSumaComplex(vector_1, vector_2): rows = len(vector_1) colums = len(vector_1[0]) for i in range(rows): for j in range(colums): vector_1[i][j] = vector_1[i][j] + vector_2[i][j] return vector_1[:] def matrizInverComplex(matriz): matriz = [[-1 * matriz[j][k] for k in range(len(matriz[0]))] for j in range(len(matriz))] return matriz[:] def matrizMultEsComplex(matriz, escalar): matriz = [[escalar * matriz[j][k] for k in range(len(matriz[0]))] for j in range(len(matriz))] return matriz[:] def trasMatrizVector (matriz_vector): rows = len(matriz_vector) column = auxiliar(matriz_vector) if auxiliar_1(matriz_vector): aux = [[matriz_vector[k][j] for k in range(rows)] for j in range(column)] aux = (aux[0] if len(aux) == 1 else aux) else: aux = [[matriz_vector[j] for k in range(column)] for j in range(rows)] return aux def conjMatrizVector(matriz_vector): rows = len(matriz_vector) column = auxiliar(matriz_vector) if auxiliar_1(matriz_vector): for j in range(rows): for k in range(column): matriz_vector[j][k] = auxiliar_2(matriz_vector[j][k]) else: for j in range(rows): matriz_vector[j] = auxiliar_2(matriz_vector[j]) return matriz_vector[:] def adjuntMatrizVector (matriz_vector): return trasMatrizVector(conjMatrizVector(matriz_vector)) def multMatrices (matriz_a, matriz_b): rows_a, rows_b, column_a, column_b = len(matriz_a), len(matriz_b), auxiliar(matriz_a), auxiliar(matriz_b) if rows_b == column_a: aux = [[0 for i in range(column_b)] for j in range(rows_a)] for h in range(column_b): for j in range(rows_a): for k in range(column_a): aux[j][h] += matriz_a[j][k] * matriz_b[k][h] return aux else: return 'Las matrices no se pueden operar' def accion(matriz, vector): rows, columns, size = len(matriz), len(matriz[0]), len(vector) aux = [0 for i in range(rows)] for j in range(rows): for k in range(columns): aux[j] += matriz[j][k] * vector[k] return aux def dotProduct (vector_a, vector_b): size = len(vector_a) try: for i in range(size): int(vector_a[i]) suma = 0 for j in range(size): suma += vector_a[j] * vector_b[j] return suma except TypeError: vector_a = conjMatrizVector(vector_a[:]) suma = 0 for j in range(size): suma += complex(vector_a[j]) * complex(vector_b[j]) return suma def normVector(vector): try: for i in range(len(vector)): int(vector[i]) return (dotProduct(vector[:], vector[:]))**(1/2) except TypeError: return (dotProduct(vector[:], vector[:]))**(1/2) def disVectors(vector_a, vector_b): vector = vectorSumaComplex(vectorInverComplex(vector_a), vector_b) return normVector(vector) def matrizHermitian(matriz): matriz_a = conjMatrizVector(trasMatrizVector(matriz[:])) if matriz_a == matriz: return True else: return False def matrizUnitary(matriz): size = len(matriz) identidad = [[(1 if j == k else 0) for k in range(size)]for j in range(size)] matriz = multMatrices(matriz, conjMatrizVector(trasMatrizVector(matriz[:]))) if matriz == identidad: return True else: return False def tensorProduct(matriz_vector_0,matriz_vector_1): rows_0, columns_0, valor = len(matriz_vector_0), auxiliar(matriz_vector_0), auxiliar_1(matriz_vector_1) if columns_0 == 1 and valor: for j in range(rows_0): matriz_vector_0[j] = matrizMultEsComplex(matriz_vector_1[:], matriz_vector_0[j]) elif columns_0 == 1: for j in range(rows_0): matriz_vector_0[j] = vectorMultEsComplex(matriz_vector_1[:], matriz_vector_0[j]) elif columns_0 != 1 and valor: for j in range(rows_0): for k in range(columns_0): matriz_vector_0[j][k] = matrizMultEsComplex(matriz_vector_1[:], matriz_vector_0[j][k]) else: for j in range(rows_0): for k in range(columns_0): matriz_vector_0[j][k] = vectorMultEsComplex(matriz_vector_1[:], matriz_vector_0[j][k]) return matriz_vector_0[:]

[ "wilmer.rodriguez-r@mail.escuelaing.edu.co" ]

wilmer.rodriguez-r@mail.escuelaing.edu.co

79f4e2ff02c9db62970001cd7f0a7386496d11e2

e8ea8326756378702052f5a785fab02e92abb21f

/Bluebook/Data/preprocess.py

9f07a132942a8c356a14b0de37f030f0fc828ee7

[]

no_license

zyx061212/Kaggle

a6111464b3acf9e276a98844f65cd27852619f44

6051051882d41ea1bcb6930a9d1a9d0525fc869a

refs/heads/master

2020-03-26T15:48:59.545030

2015-02-23T22:23:35

null

0

null

UTF-8

Python

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4,365

py

#!/usr/bin/env python import util from collections import defaultdict import numpy as np import pandas as pd import csv_io import math def get_date_dataframe(date_column): return pd.DataFrame({ "SaleYear": [d.year for d in date_column], "SaleMonth": [d.month for d in date_column], "SaleDay": [d.day for d in date_column] }, index=date_column.index) def preprocess(): train, test = util.get_train_test_df() columns = set(train.columns) #columns.remove("SalesID") #columns.remove("SalePrice") #columns.remove("saledate") #train_fea = get_date_dataframe(train["saledate"]) #test_fea = get_date_dataframe(test["saledate"]) #parseColumns = ["UsageBand"] parseColumns = [ "UsageBand","fiBaseModel","fiModelSeries","fiModelDescriptor","ProductSize","ProductGroup","Drive_System","Enclosure","Forks","Pad_Type","Ride_Control","Stick","Transmission","Turbocharged","Blade_Extension","Blade_Width","Enclosure_Type","Engine_Horsepower","Hydraulics","Pushblock","Ripper","Scarifier","Tip_ControlCoupler","Coupler_System","Grouser_Tracks","Hydraulics_Flow","Track_Type","Thumb","Pattern_Changer","Grouser_Type","Backhoe_Mounting","Blade_Type","Travel_Controls","Differential_Type","Steering_Controls"] #"auctioneerID","state","ProductGroupDesc",,"fiSecondaryDesc" # this is redundant "fiModelDesc", and has too many options... # Q, AC, AL AR AS colDict = {} for col in parseColumns: colDict[col] = [] colMap = {} notInTest = [] for index, col in enumerate(train.columns): print "MAP:", col, index colMap[col] = index if col in parseColumns: #print "start" s = set(x for x in train[col].fillna(0)) # 0 if x == "" or not isinstance(x, float) else x s.update(x for x in test[col].fillna(0)) # math.isnan(x) colDict[col] = s print s if col == "fiBaseModel": a = set(x for x in train[col].fillna(0)) b = set(x for x in test[col].fillna(0)) print "fiBaseModel" print print # found 11 type in test not in train print [x for x in b if x not in a] print print # found several hundred in train that are not in test, try dropping these... print [x for x in a if x not in b] notInTest = [x for x in a if x not in b] SaleIDArr = [] trainSalePriceArr = [] count = 0 csv_io.delete_file("train1.csv") for row in train.iterrows(): trainSalePrice = [] rowVals = row[1].fillna(0) newSet = [] newRow = [] if rowVals["fiBaseModel"] not in notInTest: continue trainSalePrice.append(rowVals["SalePrice"]) trainSalePriceArr.append(trainSalePrice) SaleID = [] SaleID.append(rowVals["SalesID"]) SaleIDArr.append(SaleID) for col in colDict.keys(): for val in colDict[col]: if val == rowVals[col] : newRow.append(1) else: newRow.append(0) #newRow.append(rowVals["YearMade"]) # need to calculate age, sale date minus year newRow.append(rowVals["MachineHoursCurrentMeter"]) count += 1 if count % 10000 == 0: print "Count", count newSet.append(newRow) csv_io.write_delimited_file("train1.csv", newSet ,header=None, delimiter=",", filemode="a") csv_io.write_delimited_file("target.csv", trainSalePriceArr ,header=None, delimiter=",") csv_io.write_delimited_file("train_salesID.csv", SaleIDArr ,header=None, delimiter=",") # ------------------------------------------- SaleIDArr = [] count = 0 csv_io.delete_file("test1.csv") for row in test.iterrows(): rowVals = row[1].fillna(0) newSet = [] newRow = [] SaleID = [] SaleID.append(rowVals["SalesID"]) SaleIDArr.append(SaleID) for col in colDict.keys(): for val in colDict[col]: if val == rowVals[col] : newRow.append(1) else: newRow.append(0) #newRow.append(rowVals["YearMade"]) # need to calculate age, sale date minus year newRow.append(rowVals["MachineHoursCurrentMeter"]) count += 1 if count % 10000 == 0: print "Count", count newSet.append(newRow) csv_io.write_delimited_file("test1.csv", newSet ,header=None, delimiter=",", filemode="a") csv_io.write_delimited_file("test_salesID.csv", SaleIDArr ,header=None, delimiter=",") if __name__=="__main__": preprocess()

[ "mb16@hood.edu" ]

mb16@hood.edu

ee27313bde085575df70e1d42550c376748fe931

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/manager/views.py

78b92fee93ead9c43d6d958d58f90642c7277c7f

[]

no_license

Felicity-jt/50.008-Project-1

8ecc63d2302b2eaa4060f4c900d7fed2e958927c

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refs/heads/master

2021-08-24T00:40:27.886634

2017-12-07T09:14:12

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from json import loads from django.http import Http404 from django.shortcuts import render from django.core.exceptions import PermissionDenied from django.views.decorators.http import require_POST from common.db import sql, page from common.utils import pagination from common.messages import NOT_STAFF from common.decorators import json_response @require_POST @json_response def new(request): """Add item or entity into inventory.""" if not request.user.is_staff: raise PermissionDenied(NOT_STAFF) s = """INSERT INTO item (id, name) VALUES (DEFAULT, %s)""" try: rq = loads(request.body) # sanitize before inserting values = (rq['name'],) except (ValueError, KeyError): return None sql(s, *values) return {} @json_response def stock(request, item_id): """Get or update current stock.""" if not request.user.is_staff: raise PermissionDenied(NOT_STAFF) q = 'SELECT id, price, quantity FROM item WHERE id = %s' if request.method == 'POST': # update price and/or quantity from post data s = """UPDATE item SET quantity = %s WHERE id = %s""" try: rq = loads(request.body) # sanitize before inserting values = (int(rq['quantity']),) except (ValueError, KeyError): return None sql(s, *values, item_id) try: r = sql(q, item_id)[0] except IndexError: raise Http404 return { 'id': r[0], 'price': r[1], 'quantity': r[2], } @json_response def stats(request, entity, year, month): """Get stats for entity.""" if not request.user.is_staff: raise PermissionDenied(NOT_STAFF) if entity not in ('item', 'company', 'creator'): raise Http404 q = """SELECT item_id, SUM(quantity) AS total FROM purchase_item INNER JOIN purchase p ON p.id = purchase_item.purchase_id WHERE YEAR(p.made_on) = %s AND MONTH(p.made_on) = %s GROUP BY item_id""" pg = pagination(request) pg['sort'].append('-total') return sql(q + page(**pg), year, month)

[ "kwokshungit@gmail.com" ]

kwokshungit@gmail.com

2db64ec71071efedc4af263b7ea7732384d88f4b

25795fef5bc22080645b8e549da924cb7025526f

/app/forms.py

4d2f3b6ae9d04ec86f7da110268f4c6cf9b3152d

[]

no_license

ryanermita/best-route

a0a68c4c9572ce73161109f198e301aaa307aab1

3480fd356e20d27cdd85397fea5960f4e69b4c44

refs/heads/master

2021-01-18T14:59:01.940788

2013-12-21T03:43:59

null

0

null

UTF-8

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760

py

from flask_wtf import Form from wtforms import TextField, TextAreaField from wtforms.validators import DataRequired class SearchForm(Form): departure_place = TextField('departure_place', validators = [DataRequired()]) destination_place = TextField('destination_place', validators = [DataRequired()]) class SignUpForm(Form): username = TextField('username', validators = [DataRequired()]) email = TextField('email', validators = [DataRequired()]) pwd = TextField('pwd', validators = [DataRequired()]) class LoginForm(Form): username = TextField('username', validators = [DataRequired()]) pwd = TextField('pwd', validators = [DataRequired()]) class AddRouteForm(Form): suggested_route = TextAreaField('suggested_route', validators = [DataRequired()])

[ "ryanermita@gmail.com" ]

ryanermita@gmail.com

1247de660c728a5f32d9fabdfa9b10b2947e596d

3a9cee71d23cfa7176e29beb9a9e509674c0bfd9

/6.2.0_201312041840_apitraderapi_linux64/test3/test4/scanConf.py

ecb31285adb61571a54465ea5e8bb06730d53a71

[]

no_license

fuckfuckfuckfuck/download

4041fba8de20a267aa001e363a005098bb93fb0e

e67c22dab648f9bc1ebca444785401f63f0cc2dc

refs/heads/master

2021-01-10T11:11:10.708805

2015-12-05T13:18:52

47,456,253

0

null

UTF-8

Python

false

1,178

py

import sys import re #~ config = { #~ 'user' : 'botel', #~ 'password': '12345678', #~ 'database' : 'mktinfo', #~ 'host' : 'rdsryfjb2vqrni2.mysql.rds.aliyuncs.com', #~ 'charset' : 'utf8', #~ 'raise_on_warnings' : True #~ } Handler = { 'user' : str, 'password' : str, 'database' : str, 'host' : str, 'charset' : str, 'port' : str, 'raise_on_warnings' : bool } dir = '/home/dell/Downloads/6.2.0_201312041840_apitraderapi_linux64/test3/test4/' def scanParam(fileStr): #~ reader = open(sys.argv[1], 'r') # fileStr = dir + fileStr reader = open(fileStr,'r') param = {} for line in reader: tmp = re.search('[%\[\]]',line) # if tmp: print tmp.group() continue line = line.split('#')[0].strip() if not line: continue name, value = line.split() if name not in Handler: print >> sys.stderr, 'Bad parameter name "%s"' % name sys.exit(1) if name in param: print >> sys.stderr, 'Duplicate parameter name "%s"' % name sys.exit(1) conversion_func = Handler[name] param[name] = conversion_func(value) return param # file = 'conf' # scanedParams = scanParam(dir + file)

[ "wchongyang@foxmail.com" ]

wchongyang@foxmail.com

dc5c45a0d9c44cc2b7f3bb35d23198d69dbd715b

e73430ff79c2d9325037bd07d0dbdf9cc7c93d84

/main.py

96f07d51325003fb5c336ddcad218beaa913f938

[]

no_license

GianBkk/python_les3_syntra

8232b6773f6d82ff819c1a6a9823d21cd471a5b0

1abb1c57c862fbc29d1a1b7245ede151e24b15f2

refs/heads/master

2023-07-10T23:32:59.059183

2021-08-20T22:38:45

398,345,240

0

null

UTF-8

Python

false

35

py

# Hello Word print('Hello World7')

[ "gian200308@gmail.com" ]

gian200308@gmail.com

bfa4051b7daa99e35be4c69d94d185b37ba84f1b

53fab060fa262e5d5026e0807d93c75fb81e67b9

/backup/user_035/ch37_2020_03_25_14_04_04_120072.py

a165e2f3c23563f7b30d6684819d8aca366bc2cd

[]

no_license

gabriellaec/desoft-analise-exercicios

b77c6999424c5ce7e44086a12589a0ad43d6adca

01940ab0897aa6005764fc220b900e4d6161d36b

refs/heads/main

2023-01-31T17:19:42.050628

2020-12-16T05:21:31

306,735,108

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null

UTF-8

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false

174

py

Senha = True resposta = input("Qual é a senha") while Senha: if resposta=="desisto": Senha = False else: Senha = True return resposta print("Você acertou a senha!")

[ "you@example.com" ]

you@example.com

dc2cf902fa9faa242b7a3024eb996183b816db91

e48bc8299aa342a74edf09945fac10f812130604

/www/transwarp/web.py

4e20b8e6d16fb71c05e55ca8baeab9c140d4ab96

[]

no_license

zhongsihang/blog-python-app

af4be1221baccf501e91e3dc7e39e3a0abdb2b21

bc5eb1bef4298ff4ceff7d3aafc4d235651a27ab

refs/heads/master

2021-01-21T01:34:58.196036

2015-09-18T06:22:36

null

0

null

UTF-8

Python

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48,867

py

#!/usr/bin/env python # -*- coding: utf-8 -*- """ 这是一个简单的，轻量级的， WSGI兼容(Web Server Gateway Interface)的web 框架 WSGI概要：工作方式： WSGI server -----> WSGI 处理函数作用：将HTTP原始的请求、解析、响应这些交给WSGI server 完成，让我们专心用Python编写Web业务，也就是 WSGI 处理函数所以WSGI 是HTTP的一种高级封装。例子： def application(environ, start_response): method = environ['REQUEST_METHOD'] path = environ['PATH_INFO'] if method=='GET' and path=='/': return handle_home(environ, start_response) if method=='POST' and path='/signin': return handle_signin(environ, start_response) 设计web框架的原因： 1. WSGI提供的接口虽然比HTTP接口高级了不少，但和Web App的处理逻辑比，还是比较低级，我们需要在WSGI接口之上能进一步抽象，让我们专注于用一个函数处理一个URL，至于URL到函数的映射，就交给Web框架来做。设计web框架接口： 1. URL路由：用于URL 到处理函数的映射 2. URL拦截：用于根据URL做权限检测 3. 视图：用于HTML页面生成 4. 数据模型：用于抽取数据（见models模块） 5. 事物数据：request数据和response数据的封装（thread local） """ import types, os, re, cgi, sys, time, datetime, functools, mimetypes, threading, logging, traceback, urllib from db import Dict import utils try: from cStringIO import StringIO except ImportError: from StringIO import StringIO ################################################################# # 实现事物数据接口, 实现request 数据和response数据的存储, # 是一个全局ThreadLocal对象 ################################################################# ctx = threading.local() _RE_RESPONSE_STATUS = re.compile(r'^\d\d\d(\ [\w\ ]+)?$') _HEADER_X_POWERED_BY = ('X-Powered-By', 'transwarp/1.0') # 用于时区转换 _TIMEDELTA_ZERO = datetime.timedelta(0) _RE_TZ = re.compile('^([\+\-])([0-9]{1,2})\:([0-9]{1,2})$') # response status _RESPONSE_STATUSES = { # Informational 100: 'Continue', 101: 'Switching Protocols', 102: 'Processing', # Successful 200: 'OK', 201: 'Created', 202: 'Accepted', 203: 'Non-Authoritative Information', 204: 'No Content', 205: 'Reset Content', 206: 'Partial Content', 207: 'Multi Status', 226: 'IM Used', # Redirection 300: 'Multiple Choices', 301: 'Moved Permanently', 302: 'Found', 303: 'See Other', 304: 'Not Modified', 305: 'Use Proxy', 307: 'Temporary Redirect', # Client Error 400: 'Bad Request', 401: 'Unauthorized', 402: 'Payment Required', 403: 'Forbidden', 404: 'Not Found', 405: 'Method Not Allowed', 406: 'Not Acceptable', 407: 'Proxy Authentication Required', 408: 'Request Timeout', 409: 'Conflict', 410: 'Gone', 411: 'Length Required', 412: 'Precondition Failed', 413: 'Request Entity Too Large', 414: 'Request URI Too Long', 415: 'Unsupported Media Type', 416: 'Requested Range Not Satisfiable', 417: 'Expectation Failed', 418: "I'm a teapot", 422: 'Unprocessable Entity', 423: 'Locked', 424: 'Failed Dependency', 426: 'Upgrade Required', # Server Error 500: 'Internal Server Error', 501: 'Not Implemented', 502: 'Bad Gateway', 503: 'Service Unavailable', 504: 'Gateway Timeout', 505: 'HTTP Version Not Supported', 507: 'Insufficient Storage', 510: 'Not Extended', } _RESPONSE_HEADERS = ( 'Accept-Ranges', 'Age', 'Allow', 'Cache-Control', 'Connection', 'Content-Encoding', 'Content-Language', 'Content-Length', 'Content-Location', 'Content-MD5', 'Content-Disposition', 'Content-Range', 'Content-Type', 'Date', 'ETag', 'Expires', 'Last-Modified', 'Link', 'Location', 'P3P', 'Pragma', 'Proxy-Authenticate', 'Refresh', 'Retry-After', 'Server', 'Set-Cookie', 'Strict-Transport-Security', 'Trailer', 'Transfer-Encoding', 'Vary', 'Via', 'Warning', 'WWW-Authenticate', 'X-Frame-Options', 'X-XSS-Protection', 'X-Content-Type-Options', 'X-Forwarded-Proto', 'X-Powered-By', 'X-UA-Compatible', ) class UTC(datetime.tzinfo): """ tzinfo 是一个基类，用于给datetime对象分配一个时区使用方式是把这个子类对象传递给datetime.tzinfo属性传递方法有2种：１.　初始化的时候传入 datetime(2009,2,17,19,10,2,tzinfo=tz0) ２.　使用datetime对象的 replace方法传入，从新生成一个datetime对象 datetime.replace(tzinfo= tz0） >>> tz0 = UTC('+00:00') >>> tz0.tzname(None) 'UTC+00:00' >>> tz8 = UTC('+8:00') >>> tz8.tzname(None) 'UTC+8:00' >>> tz7 = UTC('+7:30') >>> tz7.tzname(None) 'UTC+7:30' >>> tz5 = UTC('-05:30') >>> tz5.tzname(None) 'UTC-05:30' >>> from datetime import datetime >>> u = datetime.utcnow().replace(tzinfo=tz0) >>> l1 = u.astimezone(tz8) >>> l2 = u.replace(tzinfo=tz8) >>> d1 = u - l1 >>> d2 = u - l2 >>> d1.seconds 0 >>> d2.seconds 28800 """ def __init__(self, utc): utc = str(utc.strip().upper()) mt = _RE_TZ.match(utc) if mt: minus = mt.group(1) == '-' h = int(mt.group(2)) m = int(mt.group(3)) if minus: h, m = (-h), (-m) self._utcoffset = datetime.timedelta(hours=h, minutes=m) self._tzname = 'UTC%s' % utc else: raise ValueError('bad utc time zone') def utcoffset(self, dt): """ 表示与标准时区的偏移量 """ return self._utcoffset def dst(self, dt): """ Daylight Saving Time 夏令时 """ return _TIMEDELTA_ZERO def tzname(self, dt): """ 所在时区的名字 """ return self._tzname def __str__(self): return 'UTC timezone info object (%s)' % self._tzname __repr__ = __str__ UTC_0 = UTC('+00:00') # 用于异常处理 class _HttpError(Exception): """ HttpError that defines http error code. >>> e = _HttpError(404) >>> e.status '404 Not Found' """ def __init__(self, code): """ Init an HttpError with response code. """ super(_HttpError, self).__init__() self.status = '%d %s' % (code, _RESPONSE_STATUSES[code]) self._headers = None def header(self, name, value): """ 添加header，如果header为空则添加powered by header """ if not self._headers: self._headers = [_HEADER_X_POWERED_BY] self._headers.append((name, value)) @property def headers(self): """ 使用setter方法实现的 header属性 """ if hasattr(self, '_headers'): return self._headers return [] def __str__(self): return self.status __repr__ = __str__ class _RedirectError(_HttpError): """ RedirectError that defines http redirect code. >>> e = _RedirectError(302, 'http://www.apple.com/') >>> e.status '302 Found' >>> e.location 'http://www.apple.com/' """ def __init__(self, code, location): """ Init an HttpError with response code. """ super(_RedirectError, self).__init__(code) self.location = location def __str__(self): return '%s, %s' % (self.status, self.location) __repr__ = __str__ class HttpError(object): """ HTTP Exceptions """ @staticmethod def badrequest(): """ Send a bad request response. >>> raise HttpError.badrequest() Traceback (most recent call last): ... _HttpError: 400 Bad Request """ return _HttpError(400) @staticmethod def unauthorized(): """ Send an unauthorized response. >>> raise HttpError.unauthorized() Traceback (most recent call last): ... _HttpError: 401 Unauthorized """ return _HttpError(401) @staticmethod def forbidden(): """ Send a forbidden response. >>> raise HttpError.forbidden() Traceback (most recent call last): ... _HttpError: 403 Forbidden """ return _HttpError(403) @staticmethod def notfound(): """ Send a not found response. >>> raise HttpError.notfound() Traceback (most recent call last): ... _HttpError: 404 Not Found """ return _HttpError(404) @staticmethod def conflict(): """ Send a conflict response. >>> raise HttpError.conflict() Traceback (most recent call last): ... _HttpError: 409 Conflict """ return _HttpError(409) @staticmethod def internalerror(): """ Send an internal error response. >>> raise HttpError.internalerror() Traceback (most recent call last): ... _HttpError: 500 Internal Server Error """ return _HttpError(500) @staticmethod def redirect(location): """ Do permanent redirect. >>> raise HttpError.redirect('http://www.itranswarp.com/') Traceback (most recent call last): ... _RedirectError: 301 Moved Permanently, http://www.itranswarp.com/ """ return _RedirectError(301, location) @staticmethod def found(location): """ Do temporary redirect. >>> raise HttpError.found('http://www.itranswarp.com/') Traceback (most recent call last): ... _RedirectError: 302 Found, http://www.itranswarp.com/ """ return _RedirectError(302, location) @staticmethod def seeother(location): """ Do temporary redirect. >>> raise HttpError.seeother('http://www.itranswarp.com/') Traceback (most recent call last): ... _RedirectError: 303 See Other, http://www.itranswarp.com/ >>> e = HttpError.seeother('http://www.itranswarp.com/seeother?r=123') >>> e.location 'http://www.itranswarp.com/seeother?r=123' """ return _RedirectError(303, location) _RESPONSE_HEADER_DICT = dict(zip(map(lambda x: x.upper(), _RESPONSE_HEADERS), _RESPONSE_HEADERS)) class Request(object): """ 请求对象，用于获取所有http请求信息。 """ def __init__(self, environ): """ environ wsgi处理函数里面的那个 environ wsgi server调用 wsgi 处理函数时传入的包含了用户请求的所有数据 """ self._environ = environ def _parse_input(self): """ 将通过wsgi 传入过来的参数，解析成一个字典对象返回比如： Request({'REQUEST_METHOD':'POST', 'wsgi.input':StringIO('a=1&b=M%20M&c=ABC&c=XYZ&e=')}) 这里解析的就是 wsgi.input 对象里面的字节流 """ def _convert(item): if isinstance(item, list): return [utils.to_unicode(i.value) for i in item] if item.filename: return MultipartFile(item) return utils.to_unicode(item.value) fs = cgi.FieldStorage(fp=self._environ['wsgi.input'], environ=self._environ, keep_blank_values=True) inputs = dict() for key in fs: inputs[key] = _convert(fs[key]) return inputs def _get_raw_input(self): """ 将从wsgi解析出来的数据字典，添加为Request对象的属性然后返回该字典 """ if not hasattr(self, '_raw_input'): self._raw_input = self._parse_input() return self._raw_input def __getitem__(self, key): """ 实现通过键值访问Request对象里面的数据，如果该键有多个值，则返回第一个值如果键不存在，这会 raise KyeError >>> from StringIO import StringIO >>> r = Request({'REQUEST_METHOD':'POST', 'wsgi.input':StringIO('a=1&b=M%20M&c=ABC&c=XYZ&e=')}) >>> r['a'] u'1' >>> r['c'] u'ABC' >>> r['empty'] Traceback (most recent call last): ... KeyError: 'empty' >>> b = '----WebKitFormBoundaryQQ3J8kPsjFpTmqNz' >>> pl = ['--%s' % b, 'Content-Disposition: form-data; name=\\"name\\"\\n', 'Scofield', '--%s' % b, 'Content-Disposition: form-data; name=\\"name\\"\\n', 'Lincoln', '--%s' % b, 'Content-Disposition: form-data; name=\\"file\\"; filename=\\"test.txt\\"', 'Content-Type: text/plain\\n', 'just a test', '--%s' % b, 'Content-Disposition: form-data; name=\\"id\\"\\n', '4008009001', '--%s--' % b, ''] >>> payload = '\\n'.join(pl) >>> r = Request({'REQUEST_METHOD':'POST', 'CONTENT_LENGTH':str(len(payload)), 'CONTENT_TYPE':'multipart/form-data; boundary=%s' % b, 'wsgi.input':StringIO(payload)}) >>> r.get('name') u'Scofield' >>> r.gets('name') [u'Scofield', u'Lincoln'] >>> f = r.get('file') >>> f.filename u'test.txt' >>> f.file.read() 'just a test' """ r = self._get_raw_input()[key] if isinstance(r, list): return r[0] return r def get(self, key, default=None): """ 实现了字典里面的get功能和上面的__getitem__一样(request[key]),但如果没有找到key,则返回默认值。 >>> from StringIO import StringIO >>> r = Request({'REQUEST_METHOD':'POST', 'wsgi.input':StringIO('a=1&b=M%20M&c=ABC&c=XYZ&e=')}) >>> r.get('a') u'1' >>> r.get('empty') >>> r.get('empty', 'DEFAULT') 'DEFAULT' """ r = self._get_raw_input().get(key, default) if isinstance(r, list): return r[0] return r def gets(self, key): ''' Get multiple values for specified key. >>> from StringIO import StringIO >>> r = Request({'REQUEST_METHOD':'POST', 'wsgi.input':StringIO('a=1&b=M%20M&c=ABC&c=XYZ&e=')}) >>> r.gets('a') [u'1'] >>> r.gets('c') [u'ABC', u'XYZ'] >>> r.gets('empty') Traceback (most recent call last): ... KeyError: 'empty' ''' r = self._get_raw_input()[key] if isinstance(r, list): return r[:] return [r] def input(self, **kw): """ 返回一个由传入的数据和从environ里取出的数据组成的Dict对象，Dict对象的定义见db模块 Get input as dict from request, fill dict using provided default value if key not exist. i = ctx.request.input(role='guest') i.role ==> 'guest' >>> from StringIO import StringIO >>> r = Request({'REQUEST_METHOD':'POST', 'wsgi.input':StringIO('a=1&b=M%20M&c=ABC&c=XYZ&e=')}) >>> i = r.input(x=2008) >>> i.a u'1' >>> i.b u'M M' >>> i.c u'ABC' >>> i.x 2008 >>> i.get('d', u'100') u'100' >>> i.x 2008 """ copy = Dict(**kw) raw = self._get_raw_input() for k, v in raw.iteritems(): copy[k] = v[0] if isinstance(v, list) else v return copy def get_body(self): """ 从HTTP POST 请求中取得 body里面的数据，返回为一个str对象 >>> from StringIO import StringIO >>> r = Request({'REQUEST_METHOD':'POST', 'wsgi.input':StringIO('<xml><raw/>')}) >>> r.get_body() '<xml><raw/>' """ fp = self._environ['wsgi.input'] return fp.read() @property def remote_addr(self): """ Get remote addr. Return '0.0.0.0' if cannot get remote_addr. >>> r = Request({'REMOTE_ADDR': '192.168.0.100'}) >>> r.remote_addr '192.168.0.100' """ return self._environ.get('REMOTE_ADDR', '0.0.0.0') @property def document_root(self): """ Get raw document_root as str. Return '' if no document_root. >>> r = Request({'DOCUMENT_ROOT': '/srv/path/to/doc'}) >>> r.document_root '/srv/path/to/doc' """ return self._environ.get('DOCUMENT_ROOT', '') @property def query_string(self): """ Get raw query string as str. Return '' if no query string. >>> r = Request({'QUERY_STRING': 'a=1&c=2'}) >>> r.query_string 'a=1&c=2' >>> r = Request({}) >>> r.query_string '' """ return self._environ.get('QUERY_STRING', '') @property def environ(self): """ Get raw environ as dict, both key, value are str. >>> r = Request({'REQUEST_METHOD': 'GET', 'wsgi.url_scheme':'http'}) >>> r.environ.get('REQUEST_METHOD') 'GET' >>> r.environ.get('wsgi.url_scheme') 'http' >>> r.environ.get('SERVER_NAME') >>> r.environ.get('SERVER_NAME', 'unamed') 'unamed' """ return self._environ @property def request_method(self): """ Get request method. The valid returned values are 'GET', 'POST', 'HEAD'. >>> r = Request({'REQUEST_METHOD': 'GET'}) >>> r.request_method 'GET' >>> r = Request({'REQUEST_METHOD': 'POST'}) >>> r.request_method 'POST' """ return self._environ['REQUEST_METHOD'] @property def path_info(self): """ Get request path as str. >>> r = Request({'PATH_INFO': '/test/a%20b.html'}) >>> r.path_info '/test/a b.html' """ return urllib.unquote(self._environ.get('PATH_INFO', '')) @property def host(self): """ Get request host as str. Default to '' if cannot get host.. >>> r = Request({'HTTP_HOST': 'localhost:8080'}) >>> r.host 'localhost:8080' """ return self._environ.get('HTTP_HOST', '') def _get_headers(self): """ 从environ里取得HTTP_开通的 header """ if not hasattr(self, '_headers'): hdrs = {} for k, v in self._environ.iteritems(): if k.startswith('HTTP_'): # convert 'HTTP_ACCEPT_ENCODING' to 'ACCEPT-ENCODING' hdrs[k[5:].replace('_', '-').upper()] = v.decode('utf-8') self._headers = hdrs return self._headers @property def headers(self): """ 获取所有的header， setter实现的属性 Get all HTTP headers with key as str and value as unicode. The header names are 'XXX-XXX' uppercase. >>> r = Request({'HTTP_USER_AGENT': 'Mozilla/5.0', 'HTTP_ACCEPT': 'text/html'}) >>> H = r.headers >>> H['ACCEPT'] u'text/html' >>> H['USER-AGENT'] u'Mozilla/5.0' >>> L = H.items() >>> L.sort() >>> L [('ACCEPT', u'text/html'), ('USER-AGENT', u'Mozilla/5.0')] """ return dict(**self._get_headers()) def header(self, header, default=None): """ 获取指定的header的值 Get header from request as unicode, return None if not exist, or default if specified. The header name is case-insensitive such as 'USER-AGENT' or u'content-Type'. >>> r = Request({'HTTP_USER_AGENT': 'Mozilla/5.0', 'HTTP_ACCEPT': 'text/html'}) >>> r.header('User-Agent') u'Mozilla/5.0' >>> r.header('USER-AGENT') u'Mozilla/5.0' >>> r.header('Accept') u'text/html' >>> r.header('Test') >>> r.header('Test', u'DEFAULT') u'DEFAULT' """ return self._get_headers().get(header.upper(), default) def _get_cookies(self): """ 从environ里取出cookies字符串，并解析成键值对组成的字典 """ if not hasattr(self, '_cookies'): cookies = {} cookie_str = self._environ.get('HTTP_COOKIE') if cookie_str: for c in cookie_str.split(';'): pos = c.find('=') if pos > 0: cookies[c[:pos].strip()] = utils.unquote(c[pos+1:]) self._cookies = cookies return self._cookies @property def cookies(self): """ setter 以Dict对象返回cookies Return all cookies as dict. The cookie name is str and values is unicode. >>> r = Request({'HTTP_COOKIE':'A=123; url=http%3A%2F%2Fwww.example.com%2F'}) >>> r.cookies['A'] u'123' >>> r.cookies['url'] u'http://www.example.com/' """ return Dict(**self._get_cookies()) def cookie(self, name, default=None): """ 获取指定的cookie Return specified cookie value as unicode. Default to None if cookie not exists. >>> r = Request({'HTTP_COOKIE':'A=123; url=http%3A%2F%2Fwww.example.com%2F'}) >>> r.cookie('A') u'123' >>> r.cookie('url') u'http://www.example.com/' >>> r.cookie('test') >>> r.cookie('test', u'DEFAULT') u'DEFAULT' """ return self._get_cookies().get(name, default) class Response(object): def __init__(self): self._status = '200 OK' self._headers = {'CONTENT-TYPE': 'text/html; charset=utf-8'} def unset_header(self, name): """ 删除指定的header >>> r = Response() >>> r.header('content-type') 'text/html; charset=utf-8' >>> r.unset_header('CONTENT-type') >>> r.header('content-type') """ key = name.upper() if key not in _RESPONSE_HEADER_DICT: key = name if key in self._headers: del self._headers[key] def set_header(self, name, value): """ 给指定的header 赋值 >>> r = Response() >>> r.header('content-type') 'text/html; charset=utf-8' >>> r.set_header('CONTENT-type', 'image/png') >>> r.header('content-TYPE') 'image/png' """ key = name.upper() if key not in _RESPONSE_HEADER_DICT: key = name self._headers[key] = utils.to_str(value) def header(self, name): """ 获取Response Header 里单个 Header的值，非大小写敏感 >>> r = Response() >>> r.header('content-type') 'text/html; charset=utf-8' >>> r.header('CONTENT-type') 'text/html; charset=utf-8' >>> r.header('X-Powered-By') """ key = name.upper() if key not in _RESPONSE_HEADER_DICT: key = name return self._headers.get(key) @property def headers(self): """ setter 构造的属性，以[(key1, value1), (key2, value2)...] 形式存储所有header的值，包括cookies的值 >>> r = Response() >>> r.headers [('Content-Type', 'text/html; charset=utf-8'), ('X-Powered-By', 'transwarp/1.0')] >>> r.set_cookie('s1', 'ok', 3600) >>> r.headers [('Content-Type', 'text/html; charset=utf-8'), ('Set-Cookie', 's1=ok; Max-Age=3600; Path=/; HttpOnly'), ('X-Powered-By', 'transwarp/1.0')] """ L = [(_RESPONSE_HEADER_DICT.get(k, k), v) for k, v in self._headers.iteritems()] if hasattr(self, '_cookies'): for v in self._cookies.itervalues(): L.append(('Set-Cookie', v)) L.append(_HEADER_X_POWERED_BY) return L @property def content_type(self): """ setter 方法实现的属性，用户保存header： Content-Type的值 >>> r = Response() >>> r.content_type 'text/html; charset=utf-8' >>> r.content_type = 'application/json' >>> r.content_type 'application/json' """ return self.header('CONTENT-TYPE') @content_type.setter def content_type(self, value): """ 让content_type 属性可写，及设置Content-Type Header """ if value: self.set_header('CONTENT-TYPE', value) else: self.unset_header('CONTENT-TYPE') @property def content_length(self): """ 获取Content-Length Header 的值 >>> r = Response() >>> r.content_length >>> r.content_length = 100 >>> r.content_length '100' """ return self.header('CONTENT-LENGTH') @content_length.setter def content_length(self, value): """ 设置Content-Length Header 的值 >>> r = Response() >>> r.content_length = '1024' >>> r.content_length '1024' >>> r.content_length = 1024 * 8 >>> r.content_length '8192' """ self.set_header('CONTENT-LENGTH', str(value)) def delete_cookie(self, name): """ Delete a cookie immediately. Args: name: the cookie name. """ self.set_cookie(name, '__deleted__', expires=0) def set_cookie(self, name, value, max_age=None, expires=None, path='/', domain=None, secure=False, http_only=True): """ Set a cookie. Args: name: the cookie name. value: the cookie value. max_age: optional, seconds of cookie's max age. expires: optional, unix timestamp, datetime or date object that indicate an absolute time of the expiration time of cookie. Note that if expires specified, the max_age will be ignored. path: the cookie path, default to '/'. domain: the cookie domain, default to None. secure: if the cookie secure, default to False. http_only: if the cookie is for http only, default to True for better safty (client-side script cannot access cookies with HttpOnly flag). >>> r = Response() >>> r.set_cookie('company', 'Abc, Inc.', max_age=3600) >>> r._cookies {'company': 'company=Abc%2C%20Inc.; Max-Age=3600; Path=/; HttpOnly'} >>> r.set_cookie('company', r'Example="Limited"', expires=1342274794.123, path='/sub/') >>> r._cookies {'company': 'company=Example%3D%22Limited%22; Expires=Sat, 14-Jul-2012 14:06:34 GMT; Path=/sub/; HttpOnly'} >>> dt = datetime.datetime(2012, 7, 14, 22, 6, 34, tzinfo=UTC('+8:00')) >>> r.set_cookie('company', 'Expires', expires=dt) >>> r._cookies {'company': 'company=Expires; Expires=Sat, 14-Jul-2012 14:06:34 GMT; Path=/; HttpOnly'} """ if not hasattr(self, '_cookies'): self._cookies = {} L = ['%s=%s' % (utils.quote(name), utils.quote(value))] if expires is not None: if isinstance(expires, (float, int, long)): L.append('Expires=%s' % datetime.datetime.fromtimestamp(expires, UTC_0).strftime('%a, %d-%b-%Y %H:%M:%S GMT')) if isinstance(expires, (datetime.date, datetime.datetime)): L.append('Expires=%s' % expires.astimezone(UTC_0).strftime('%a, %d-%b-%Y %H:%M:%S GMT')) elif isinstance(max_age, (int, long)): L.append('Max-Age=%d' % max_age) L.append('Path=%s' % path) if domain: L.append('Domain=%s' % domain) if secure: L.append('Secure') if http_only: L.append('HttpOnly') self._cookies[name] = '; '.join(L) def unset_cookie(self, name): """ Unset a cookie. >>> r = Response() >>> r.set_cookie('company', 'Abc, Inc.', max_age=3600) >>> r._cookies {'company': 'company=Abc%2C%20Inc.; Max-Age=3600; Path=/; HttpOnly'} >>> r.unset_cookie('company') >>> r._cookies {} """ if hasattr(self, '_cookies'): if name in self._cookies: del self._cookies[name] @property def status_code(self): """ Get response status code as int. >>> r = Response() >>> r.status_code 200 >>> r.status = 404 >>> r.status_code 404 >>> r.status = '500 Internal Error' >>> r.status_code 500 """ return int(self._status[:3]) @property def status(self): """ Get response status. Default to '200 OK'. >>> r = Response() >>> r.status '200 OK' >>> r.status = 404 >>> r.status '404 Not Found' >>> r.status = '500 Oh My God' >>> r.status '500 Oh My God' """ return self._status @status.setter def status(self, value): """ Set response status as int or str. >>> r = Response() >>> r.status = 404 >>> r.status '404 Not Found' >>> r.status = '500 ERR' >>> r.status '500 ERR' >>> r.status = u'403 Denied' >>> r.status '403 Denied' >>> r.status = 99 Traceback (most recent call last): ... ValueError: Bad response code: 99 >>> r.status = 'ok' Traceback (most recent call last): ... ValueError: Bad response code: ok >>> r.status = [1, 2, 3] Traceback (most recent call last): ... TypeError: Bad type of response code. """ if isinstance(value, (int, long)): if 100 <= value <= 999: st = _RESPONSE_STATUSES.get(value, '') if st: self._status = '%d %s' % (value, st) else: self._status = str(value) else: raise ValueError('Bad response code: %d' % value) elif isinstance(value, basestring): if isinstance(value, unicode): value = value.encode('utf-8') if _RE_RESPONSE_STATUS.match(value): self._status = value else: raise ValueError('Bad response code: %s' % value) else: raise TypeError('Bad type of response code.') ################################################################# # 实现URL路由功能 # 将URL 映射到函数上 ################################################################# # 用于捕获变量的re _re_route = re.compile(r'(:[a-zA-Z_]\w*)') # 方法的装饰器，用于捕获url def get(path): """ A @get decorator. @get('/:id') def index(id): pass >>> @get('/test/:id') ... def test(): ... return 'ok' ... >>> test.__web_route__ '/test/:id' >>> test.__web_method__ 'GET' >>> test() 'ok' """ def _decorator(func): func.__web_route__ = path func.__web_method__ = 'GET' return func return _decorator def post(path): """ A @post decorator. >>> @post('/post/:id') ... def testpost(): ... return '200' ... >>> testpost.__web_route__ '/post/:id' >>> testpost.__web_method__ 'POST' >>> testpost() '200' """ def _decorator(func): func.__web_route__ = path func.__web_method__ = 'POST' return func return _decorator def _build_regex(path): r""" 用于将路径转换成正则表达式，并捕获其中的参数 >>> _build_regex('/path/to/:file') '^\\/path\\/to\\/(?P<file>[^\\/]+)$' >>> _build_regex('/:user/:comments/list') '^\\/(?P<user>[^\\/]+)\\/(?P<comments>[^\\/]+)\\/list$' >>> _build_regex(':id-:pid/:w') '^(?P<id>[^\\/]+)\\-(?P<pid>[^\\/]+)\\/(?P<w>[^\\/]+)$' """ re_list = ['^'] var_list = [] is_var = False for v in _re_route.split(path): if is_var: var_name = v[1:] var_list.append(var_name) re_list.append(r'(?P<%s>[^\/]+)' % var_name) else: s = '' for ch in v: if '0' <= ch <= '9': s += ch elif 'A' <= ch <= 'Z': s += ch elif 'a' <= ch <= 'z': s += ch else: s = s + '\\' + ch re_list.append(s) is_var = not is_var re_list.append('$') return ''.join(re_list) def _static_file_generator(fpath, block_size=8192): """ 读取静态文件的一个生成器 """ with open(fpath, 'rb') as f: block = f.read(block_size) while block: yield block block = f.read(block_size) class Route(object): """ 动态路由对象，处理装饰器捕获的url 和函数比如： @get('/:id') def index(id): pass 在构造器中 path、method、is_static、route 和url相关而 func 则指的装饰器里的func，比如上面的index函数 """ def __init__(self, func): """ path：通过method的装饰器捕获的path method：通过method装饰器捕获的method is_static：路径是否含变量，含变量为True route：动态url（含变量）则捕获其变量的 re func：方法装饰器里定义的函数 """ self.path = func.__web_route__ self.method = func.__web_method__ self.is_static = _re_route.search(self.path) is None if not self.is_static: self.route = re.compile(_build_regex(self.path)) self.func = func def match(self, url): """ 传入url，返回捕获的变量 """ m = self.route.match(url) if m: return m.groups() return None def __call__(self, *args): """ 实例对象直接调用时，执行传入的函数对象 """ return self.func(*args) def __str__(self): if self.is_static: return 'Route(static,%s,path=%s)' % (self.method, self.path) return 'Route(dynamic,%s,path=%s)' % (self.method, self.path) __repr__ = __str__ class StaticFileRoute(object): """ 静态文件路由对象，和Route相对应 """ def __init__(self): self.method = 'GET' self.is_static = False self.route = re.compile('^/static/(.+)$') def match(self, url): if url.startswith('/static/'): return (url[1:], ) return None def __call__(self, *args): fpath = os.path.join(ctx.application.document_root, args[0]) if not os.path.isfile(fpath): raise HttpError.notfound() fext = os.path.splitext(fpath)[1] ctx.response.content_type = mimetypes.types_map.get(fext.lower(), 'application/octet-stream') return _static_file_generator(fpath) class MultipartFile(object): """ Multipart file storage get from request input. f = ctx.request['file'] f.filename # 'test.png' f.file # file-like object """ def __init__(self, storage): self.filename = utils.to_unicode(storage.filename) self.file = storage.file ################################################################# # 实现视图功能 # 主要涉及到模板引擎和View装饰器的实现 ################################################################# class Template(object): def __init__(self, template_name, **kw): """ Init a template object with template name, model as dict, and additional kw that will append to model. >>> t = Template('hello.html', title='Hello', copyright='@2012') >>> t.model['title'] 'Hello' >>> t.model['copyright'] '@2012' >>> t = Template('test.html', abc=u'ABC', xyz=u'XYZ') >>> t.model['abc'] u'ABC' """ self.template_name = template_name self.model = dict(**kw) class TemplateEngine(object): """ Base template engine. """"" def __call__(self, path, model): return '' class Jinja2TemplateEngine(TemplateEngine): """ Render using jinja2 template engine. >>> templ_path = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'test') >>> engine = Jinja2TemplateEngine(templ_path) >>> engine.add_filter('datetime', lambda dt: dt.strftime('%Y-%m-%d %H:%M:%S')) >>> engine('jinja2-test.html', dict(name='Michael', posted_at=datetime.datetime(2014, 6, 1, 10, 11, 12))) '<p>Hello, Michael.</p><span>2014-06-01 10:11:12</span>' """ def __init__(self, templ_dir, **kw): from jinja2 import Environment, FileSystemLoader if 'autoescape' not in kw: kw['autoescape'] = True self._env = Environment(loader=FileSystemLoader(templ_dir), **kw) def add_filter(self, name, fn_filter): self._env.filters[name] = fn_filter def __call__(self, path, model): return self._env.get_template(path).render(**model).encode('utf-8') def _debug(): """ :return: """ pass def _default_error_handler(e, start_response, is_debug): """ 用于处理异常，主要是响应一个异常页面 :param e: :param start_response: wsgi里面的 start_response 函数 :param is_debug: :return: """ if isinstance(e, HttpError): logging.info('HttpError: %s' % e.status) headers = e.headers[:] headers.append(('Content-Type', 'text/html')) start_response(e.status, headers) return ('<html><body><h1>%s</h1></body></html>' % e.status) logging.exception('Exception:') start_response('500 Internal Server Error', [('Content-Type', 'text/html'), _HEADER_X_POWERED_BY]) if is_debug: return _debug() return ('<html><body><h1>500 Internal Server Error</h1><h3>%s</h3></body></html>' % str(e)) def view(path): """ 被装饰的函数需要返回一个字典对象，用于渲染装饰器通过Template类将 path 和 dict 关联在一个 Template对象上 A view decorator that render a view by dict. >>> @view('test/view.html') ... def hello(): ... return dict(name='Bob') >>> t = hello() >>> isinstance(t, Template) True >>> t.template_name 'test/view.html' >>> @view('test/view.html') ... def hello2(): ... return ['a list'] >>> t = hello2() Traceback (most recent call last): ... ValueError: Expect return a dict when using @view() decorator. """ def _decorator(func): @functools.wraps(func) def _wrapper(*args, **kw): r = func(*args, **kw) if isinstance(r, dict): logging.info('return Template') return Template(path, **r) raise ValueError('Expect return a dict when using @view() decorator.') return _wrapper return _decorator ################################################################# # 实现URL拦截器 # 主要interceptor的实现 ################################################################# _RE_INTERCEPTOR_STARTS_WITH = re.compile(r'^([^\*\?]+)\*?$') _RE_INTERCEPTOR_ENDS_WITH = re.compile(r'^\*([^\*\?]+)$') def _build_pattern_fn(pattern): """ 传入需要匹配的字符串： URL 返回一个函数，该函数接收一个字符串参数，检测该字符串是否符合pattern """ m = _RE_INTERCEPTOR_STARTS_WITH.match(pattern) if m: return lambda p: p.startswith(m.group(1)) m = _RE_INTERCEPTOR_ENDS_WITH.match(pattern) if m: return lambda p: p.endswith(m.group(1)) raise ValueError('Invalid pattern definition in interceptor.') def interceptor(pattern='/'): """ An @interceptor decorator. @interceptor('/admin/') def check_admin(req, resp): pass """ def _decorator(func): func.__interceptor__ = _build_pattern_fn(pattern) return func return _decorator def _build_interceptor_fn(func, next): """ 拦截器接受一个next函数，这样，一个拦截器可以决定调用next()继续处理请求还是直接返回 """ def _wrapper(): if func.__interceptor__(ctx.request.path_info): return func(next) else: return next() return _wrapper def _build_interceptor_chain(last_fn, *interceptors): """ Build interceptor chain. >>> def target(): ... print 'target' ... return 123 >>> @interceptor('/') ... def f1(next): ... print 'before f1()' ... return next() >>> @interceptor('/test/') ... def f2(next): ... print 'before f2()' ... try: ... return next() ... finally: ... print 'after f2()' >>> @interceptor('/') ... def f3(next): ... print 'before f3()' ... try: ... return next() ... finally: ... print 'after f3()' >>> chain = _build_interceptor_chain(target, f1, f2, f3) >>> ctx.request = Dict(path_info='/test/abc') >>> chain() before f1() before f2() before f3() target after f3() after f2() 123 >>> ctx.request = Dict(path_info='/api/') >>> chain() before f1() before f3() target after f3() 123 """ L = list(interceptors) L.reverse() fn = last_fn for f in L: fn = _build_interceptor_fn(f, fn) return fn def _load_module(module_name): """ Load module from name as str. >>> m = _load_module('xml') >>> m.__name__ 'xml' >>> m = _load_module('xml.sax') >>> m.__name__ 'xml.sax' >>> m = _load_module('xml.sax.handler') >>> m.__name__ 'xml.sax.handler' """ last_dot = module_name.rfind('.') if last_dot == (-1): return __import__(module_name, globals(), locals()) from_module = module_name[:last_dot] import_module = module_name[last_dot+1:] m = __import__(from_module, globals(), locals(), [import_module]) return getattr(m, import_module) ################################################################# # 全局WSGIApplication的类，实现WSGI接口 # WSGIApplication 封装了 wsgi Server（run方法）和 wsgi 处理函数（wsgi静态方法） # 上面的所有的功能都是对 wsgi 处理函数的装饰 ################################################################# class WSGIApplication(object): def __init__(self, document_root=None, **kw): """ Init a WSGIApplication. Args: document_root: document root path. """ self._running = False self._document_root = document_root self._interceptors = [] self._template_engine = None self._get_static = {} self._post_static = {} self._get_dynamic = [] self._post_dynamic = [] def _check_not_running(self): """ 检测app对象是否运行 """ if self._running: raise RuntimeError('Cannot modify WSGIApplication when running.') @property def template_engine(self): return self._template_engine @template_engine.setter def template_engine(self, engine): """ 设置app 使用的模板引擎 """ self._check_not_running() self._template_engine = engine def add_module(self, mod): self._check_not_running() m = mod if type(mod) == types.ModuleType else _load_module(mod) logging.info('Add module: %s' % m.__name__) for name in dir(m): fn = getattr(m, name) if callable(fn) and hasattr(fn, '__web_route__') and hasattr(fn, '__web_method__'): self.add_url(fn) def add_url(self, func): """ 添加URL，主要是添加路由 """ self._check_not_running() route = Route(func) if route.is_static: if route.method == 'GET': self._get_static[route.path] = route if route.method == 'POST': self._post_static[route.path] = route else: if route.method == 'GET': self._get_dynamic.append(route) if route.method == 'POST': self._post_dynamic.append(route) logging.info('Add route: %s' % str(route)) def add_interceptor(self, func): """ 添加拦截器 """ self._check_not_running() self._interceptors.append(func) logging.info('Add interceptor: %s' % str(func)) def run(self, port=9000, host='127.0.0.1'): """ 启动python自带的WSGI Server """ from wsgiref.simple_server import make_server logging.info('application (%s) will start at %s:%s...' % (self._document_root, host, port)) server = make_server(host, port, self.get_wsgi_application(debug=True)) server.serve_forever() def get_wsgi_application(self, debug=False): self._check_not_running() if debug: self._get_dynamic.append(StaticFileRoute()) self._running = True _application = Dict(document_root=self._document_root) def fn_route(): request_method = ctx.request.request_method path_info = ctx.request.path_info if request_method == 'GET': fn = self._get_static.get(path_info, None) if fn: return fn() for fn in self._get_dynamic: args = fn.match(path_info) if args: return fn(*args) raise HttpError.notfound() if request_method == 'POST': fn = self._post_static.get(path_info, None) if fn: return fn() for fn in self._post_dynamic: args = fn.match(path_info) if args: return fn(*args) raise HttpError.notfound() raise HttpError.badrequest() fn_exec = _build_interceptor_chain(fn_route, *self._interceptors) def wsgi(env, start_response): """ WSGI 处理函数 """ ctx.application = _application ctx.request = Request(env) response = ctx.response = Response() try: r = fn_exec() if isinstance(r, Template): r = self._template_engine(r.template_name, r.model) if isinstance(r, unicode): r = r.encode('utf-8') if r is None: r = [] start_response(response.status, response.headers) return r except _RedirectError, e: response.set_header('Location', e.location) start_response(e.status, response.headers) return [] except HttpError, e: start_response(e.status, response.headers) return ['<html><body><h1>', e.status, '</h1></body></html>'] except Exception, e: logging.exception(e) if not debug: start_response('500 Internal Server Error', []) return ['<html><body><h1>500 Internal Server Error</h1></body></html>'] exc_type, exc_value, exc_traceback = sys.exc_info() fp = StringIO() traceback.print_exception(exc_type, exc_value, exc_traceback, file=fp) stacks = fp.getvalue() fp.close() start_response('500 Internal Server Error', []) return [ r'''<html><body><h1>500 Internal Server Error</h1><div style="font-family:Monaco, Menlo, Consolas, 'Courier New', monospace;"><pre>''', stacks.replace('<', '<').replace('>', '>'), '</pre></div></body></html>'] finally: del ctx.application del ctx.request del ctx.response return wsgi if __name__ == '__main__': sys.path.append('.') import doctest doctest.testmod()

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""" WSGI config for mpproj project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/2.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mpproj.settings') application = get_wsgi_application()

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import numpy as np from pyFTS.common import FuzzySet,FLR import fts class SeasonalFLRG(fts.FTS): def __init__(self, seasonality): self.LHS = seasonality self.RHS = [] def append(self, c): self.RHS.append(c) def __str__(self): tmp = str(self.LHS) + " -> " tmp2 = "" for c in sorted(self.RHS, key=lambda s: s.name): if len(tmp2) > 0: tmp2 = tmp2 + "," tmp2 = tmp2 + c.name return tmp + tmp2 class SeasonalFTS(fts.FTS): def __init__(self, name): super(SeasonalFTS, self).__init__(1, "SFTS") self.name = "Seasonal FTS" self.detail = "Chen" self.seasonality = 1 self.hasSeasonality = True def generateFLRG(self, flrs): flrgs = [] season = 1 for flr in flrs: if len(flrgs) < self.seasonality: flrgs.append(SeasonalFLRG(season)) flrgs[season].append(flr.RHS) season = (season + 1) % (self.seasonality + 1) if season == 0: season = 1 return (flrgs) def train(self, data, sets, seasonality): self.sets = sets self.seasonality = seasonality tmpdata = FuzzySet.fuzzySeries(data, sets) flrs = FLR.generateRecurrentFLRs(tmpdata) self.flrgs = self.generateFLRG(flrs) def forecast(self, data): ndata = np.array(data) l = len(ndata) ret = [] for k in np.arange(1, l): flrg = self.flrgs[data[k]] mp = self.getMidpoints(flrg) ret.append(sum(mp) / len(mp)) return ret

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import emoji print(emoji.emojize(':thumbs_up_sign:'))

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""" DGL-based PAGTN for graph property prediction. """ import torch.nn as nn import torch.nn.functional as F from deepchem.models.losses import Loss, L2Loss, SparseSoftmaxCrossEntropy from deepchem.models.torch_models.torch_model import TorchModel class Pagtn(nn.Module): """Model for Graph Property Prediction This model proceeds as follows: * Update node representations in graphs with a variant of GAT, where a linear additive form of attention is applied. Attention Weights are derived by concatenating the node and edge features for each bond. * Update node representations with multiple rounds of message passing. * For each layer has, residual connections with its previous layer. * The final molecular representation is computed by combining the representations of all nodes in the molecule. * Perform the final prediction using a linear layer Examples -------- >>> import deepchem as dc >>> import dgl >>> from deepchem.models import Pagtn >>> smiles = ["C1CCC1", "C1=CC=CN=C1"] >>> featurizer = dc.feat.PagtnMolGraphFeaturizer(max_length=5) >>> graphs = featurizer.featurize(smiles) >>> print(type(graphs[0])) <class 'deepchem.feat.graph_data.GraphData'> >>> dgl_graphs = [graphs[i].to_dgl_graph() for i in range(len(graphs))] >>> batch_dgl_graph = dgl.batch(dgl_graphs) >>> model = Pagtn(n_tasks=1, mode='regression') >>> preds = model(batch_dgl_graph) >>> print(type(preds)) <class 'torch.Tensor'> >>> preds.shape == (2, 1) True References ---------- .. [1] Benson Chen, Regina Barzilay, Tommi Jaakkola. "Path-Augmented Graph Transformer Network." arXiv:1905.12712 Notes ----- This class requires DGL (https://github.com/dmlc/dgl) and DGL-LifeSci (https://github.com/awslabs/dgl-lifesci) to be installed. """ def __init__(self, n_tasks: int, number_atom_features: int = 94, number_bond_features: int = 42, mode: str = 'regression', n_classes: int = 2, output_node_features: int = 256, hidden_features: int = 32, num_layers: int = 5, num_heads: int = 1, dropout: float = 0.1, nfeat_name: str = 'x', efeat_name: str = 'edge_attr', pool_mode: str = 'sum'): """ Parameters ---------- n_tasks: int Number of tasks. number_atom_features : int Size for the input node features. Default to 94. number_bond_features : int Size for the input edge features. Default to 42. mode: str The model type, 'classification' or 'regression'. Default to 'regression'. n_classes: int The number of classes to predict per task (only used when ``mode`` is 'classification'). Default to 2. output_node_features : int Size for the output node features in PAGTN layers. Default to 256. hidden_features : int Size for the hidden node features in PAGTN layers. Default to 32. num_layers : int Number of PAGTN layers to be applied. Default to 5. num_heads : int Number of attention heads. Default to 1. dropout : float The probability for performing dropout. Default to 0.1 nfeat_name: str For an input graph ``g``, the model assumes that it stores node features in ``g.ndata[nfeat_name]`` and will retrieve input node features from that. Default to 'x'. efeat_name: str For an input graph ``g``, the model assumes that it stores edge features in ``g.edata[efeat_name]`` and will retrieve input edge features from that. Default to 'edge_attr'. pool_mode : 'max' or 'mean' or 'sum' Whether to compute elementwise maximum, mean or sum of the node representations. """ try: import dgl except: raise ImportError('This class requires dgl.') try: import dgllife except: raise ImportError('This class requires dgllife.') if mode not in ['classification', 'regression']: raise ValueError("mode must be either 'classification' or 'regression'") super(Pagtn, self).__init__() self.n_tasks = n_tasks self.mode = mode self.n_classes = n_classes self.nfeat_name = nfeat_name self.efeat_name = efeat_name if mode == 'classification': out_size = n_tasks * n_classes else: out_size = n_tasks from dgllife.model import PAGTNPredictor as DGLPAGTNPredictor self.model = DGLPAGTNPredictor( node_in_feats=number_atom_features, node_out_feats=output_node_features, node_hid_feats=hidden_features, edge_feats=number_bond_features, depth=num_layers, nheads=num_heads, dropout=dropout, n_tasks=out_size, mode=pool_mode) def forward(self, g): """Predict graph labels Parameters ---------- g: DGLGraph A DGLGraph for a batch of graphs. It stores the node features in ``dgl_graph.ndata[self.nfeat_name]`` and edge features in ``dgl_graph.edata[self.efeat_name]``. Returns ------- torch.Tensor The model output. * When self.mode = 'regression', its shape will be ``(dgl_graph.batch_size, self.n_tasks)``. * When self.mode = 'classification', the output consists of probabilities for classes. Its shape will be ``(dgl_graph.batch_size, self.n_tasks, self.n_classes)`` if self.n_tasks > 1; its shape will be ``(dgl_graph.batch_size, self.n_classes)`` if self.n_tasks is 1. torch.Tensor, optional This is only returned when self.mode = 'classification', the output consists of the logits for classes before softmax. """ node_feats = g.ndata[self.nfeat_name] edge_feats = g.edata[self.efeat_name] out = self.model(g, node_feats, edge_feats) if self.mode == 'classification': if self.n_tasks == 1: logits = out.view(-1, self.n_classes) softmax_dim = 1 else: logits = out.view(-1, self.n_tasks, self.n_classes) softmax_dim = 2 proba = F.softmax(logits, dim=softmax_dim) return proba, logits else: return out class PagtnModel(TorchModel): """Model for Graph Property Prediction. This model proceeds as follows: * Update node representations in graphs with a variant of GAT, where a linear additive form of attention is applied. Attention Weights are derived by concatenating the node and edge features for each bond. * Update node representations with multiple rounds of message passing. * For each layer has, residual connections with its previous layer. * The final molecular representation is computed by combining the representations of all nodes in the molecule. * Perform the final prediction using a linear layer Examples -------- >>> >> import deepchem as dc >> from deepchem.models import PagtnModel >> featurizer = dc.feat.PagtnMolGraphFeaturizer(max_length=5) >> tasks, datasets, transformers = dc.molnet.load_tox21( .. reload=False, featurizer=featurizer, transformers=[]) >> train, valid, test = datasets >> model = PagtnModel(mode='classification', n_tasks=len(tasks), .. batch_size=16, learning_rate=0.001) >> model.fit(train, nb_epoch=50) References ---------- .. [1] Benson Chen, Regina Barzilay, Tommi Jaakkola. "Path-Augmented Graph Transformer Network." arXiv:1905.12712 Notes ----- This class requires DGL (https://github.com/dmlc/dgl) and DGL-LifeSci (https://github.com/awslabs/dgl-lifesci) to be installed. """ def __init__(self, n_tasks: int, number_atom_features: int = 94, number_bond_features: int = 42, mode: str = 'regression', n_classes: int = 2, output_node_features: int = 256, hidden_features: int = 32, num_layers: int = 5, num_heads: int = 1, dropout: float = 0.1, pool_mode: str = 'sum', **kwargs): """ Parameters ---------- n_tasks: int Number of tasks. number_atom_features : int Size for the input node features. Default to 94. number_bond_features : int Size for the input edge features. Default to 42. mode: str The model type, 'classification' or 'regression'. Default to 'regression'. n_classes: int The number of classes to predict per task (only used when ``mode`` is 'classification'). Default to 2. output_node_features : int Size for the output node features in PAGTN layers. Default to 256. hidden_features : int Size for the hidden node features in PAGTN layers. Default to 32. num_layers: int Number of graph neural network layers, i.e. number of rounds of message passing. Default to 2. num_heads : int Number of attention heads. Default to 1. dropout: float Dropout probability. Default to 0.1 pool_mode : 'max' or 'mean' or 'sum' Whether to compute elementwise maximum, mean or sum of the node representations. kwargs This can include any keyword argument of TorchModel. """ model = Pagtn( n_tasks=n_tasks, number_atom_features=number_atom_features, number_bond_features=number_bond_features, mode=mode, n_classes=n_classes, output_node_features=output_node_features, hidden_features=hidden_features, num_layers=num_layers, num_heads=num_heads, dropout=dropout, pool_mode=pool_mode) if mode == 'regression': loss: Loss = L2Loss() output_types = ['prediction'] else: loss = SparseSoftmaxCrossEntropy() output_types = ['prediction', 'loss'] super(PagtnModel, self).__init__( model, loss=loss, output_types=output_types, **kwargs) def _prepare_batch(self, batch): """Create batch data for Pagtn. Parameters ---------- batch: tuple The tuple is ``(inputs, labels, weights)``. Returns ------- inputs: DGLGraph DGLGraph for a batch of graphs. labels: list of torch.Tensor or None The graph labels. weights: list of torch.Tensor or None The weights for each sample or sample/task pair converted to torch.Tensor. """ try: import dgl except: raise ImportError('This class requires dgl.') inputs, labels, weights = batch dgl_graphs = [graph.to_dgl_graph() for graph in inputs[0]] inputs = dgl.batch(dgl_graphs).to(self.device) _, labels, weights = super(PagtnModel, self)._prepare_batch(([], labels, weights)) return inputs, labels, weights

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jiwenyu0531/MyAI

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#!/Users/jiwenyu/PycharmProjects/MyAI/venv/bin/python # EASY-INSTALL-ENTRY-SCRIPT: 'pip==9.0.1','console_scripts','pip' __requires__ = 'pip==9.0.1' import re import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0]) sys.exit( load_entry_point('pip==9.0.1', 'console_scripts', 'pip')() )

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elieu17/bellybuttonhmwk

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import os import pandas as pd import numpy as np import sqlalchemy from sqlalchemy.ext.automap import automap_base from sqlalchemy.orm import Session from sqlalchemy import create_engine from flask import Flask, jsonify, render_template from flask_sqlalchemy import SQLAlchemy app = Flask(__name__) ################################################ # Database Setup ################################################# app.config["SQLALCHEMY_DATABASE_URI"] = "sqlite:///db/bellybutton.sqlite" db = SQLAlchemy(app) # reflect an existing database into a new model Base = automap_base() # reflect the tables Base.prepare(db.engine, reflect=True) # Save references to each table Samples_Metadata = Base.classes.sample_metadata Samples = Base.classes.samples @app.route("/") def index(): """Return the homepage.""" return render_template("index.html") @app.route("/names") def names(): """Return a list of sample names.""" # Use Pandas to perform the sql query stmt = db.session.query(Samples).statement df = pd.read_sql_query(stmt, db.session.bind) # Return a list of the column names (sample names) return jsonify(list(df.columns)[2:]) @app.route("/metadata/<sample>") def sample_metadata(sample): """Return the MetaData for a given sample.""" sel = [ Samples_Metadata.sample, Samples_Metadata.ETHNICITY, Samples_Metadata.GENDER, Samples_Metadata.AGE, Samples_Metadata.LOCATION, Samples_Metadata.BBTYPE, Samples_Metadata.WFREQ, ] results = db.session.query(*sel).filter(Samples_Metadata.sample == sample).all() # Create a dictionary entry for each row of metadata information sample_metadata = {} for result in results: sample_metadata["sample"] = result[0] sample_metadata["ETHNICITY"] = result[1] sample_metadata["GENDER"] = result[2] sample_metadata["AGE"] = result[3] sample_metadata["LOCATION"] = result[4] sample_metadata["BBTYPE"] = result[5] sample_metadata["WFREQ"] = result[6] print(sample_metadata) return jsonify(sample_metadata) @app.route("/samples/<sample>") def samples(sample): """Return `otu_ids`, `otu_labels`,and `sample_values`.""" stmt = db.session.query(Samples).statement df = pd.read_sql_query(stmt, db.session.bind) # Filter the data based on the sample number and # only keep rows with values above 1 sample_data = df.loc[df[sample] > 1, ["otu_id", "otu_label", sample]] sample_data.sort_values(by =[sample], ascending=False, inplace=True) # Format the data to send as json data = { "otu_ids": sample_data.otu_id.values.tolist(), "sample_values": sample_data[sample].values.tolist(), "otu_labels": sample_data.otu_label.tolist(), } return jsonify(data) if __name__ == "__main__": app.run()

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noreply@github.com

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__FILENAME__ = api import sys import base64 import json try: from urllib.request import Request, urlopen assert Request and urlopen except ImportError: from urllib2 import Request, urlopen try: from . import shared as G, utils assert G and utils except (ImportError, ValueError): import shared as G import utils def get_basic_auth(): # TODO: use api_key if it exists basic_auth = ('%s:%s' % (G.USERNAME, G.SECRET)).encode('utf-8') basic_auth = base64.encodestring(basic_auth) return basic_auth.decode('ascii').replace('\n', '') def api_request(url, data=None): if data: data = json.dumps(data).encode('utf-8') r = Request(url, data=data) r.add_header('Authorization', 'Basic %s' % get_basic_auth()) r.add_header('Accept', 'application/json') r.add_header('Content-type', 'application/json') r.add_header('User-Agent', 'Flootty py-%s.%s' % (sys.version_info[0], sys.version_info[1])) return urlopen(r, timeout=5) def create_workspace(post_data): url = 'https://%s/api/workspace/' % G.DEFAULT_HOST return api_request(url, post_data) def get_workspace_by_url(url): result = utils.parse_url(url) api_url = 'https://%s/api/workspace/%s/%s/' % (result['host'], result['owner'], result['workspace']) return api_request(api_url) def get_workspace(owner, workspace): api_url = 'https://%s/api/workspace/%s/%s/' % (G.DEFAULT_HOST, owner, workspace) return api_request(api_url) def get_workspaces(): api_url = 'https://%s/api/workspace/can/view/' % (G.DEFAULT_HOST) return api_request(api_url) def get_now_editing_workspaces(): api_url = 'https://%s/api/workspaces/now_editing/' % (G.DEFAULT_HOST) return api_request(api_url) def get_orgs(): api_url = 'https://%s/api/orgs/' % (G.DEFAULT_HOST) return api_request(api_url) def get_orgs_can_admin(): api_url = 'https://%s/api/orgs/can/admin/' % (G.DEFAULT_HOST) return api_request(api_url) def send_error(data): try: api_url = 'https://%s/api/error/' % (G.DEFAULT_HOST) return api_request(api_url, data) except Exception as e: print(e) return None ########NEW FILE######## __FILENAME__ = cert CA_CERT = '''-----BEGIN CERTIFICATE----- MIIHyTCCBbGgAwIBAgIBATANBgkqhkiG9w0BAQUFADB9MQswCQYDVQQGEwJJTDEW MBQGA1UEChMNU3RhcnRDb20gTHRkLjErMCkGA1UECxMiU2VjdXJlIERpZ2l0YWwg Q2VydGlmaWNhdGUgU2lnbmluZzEpMCcGA1UEAxMgU3RhcnRDb20gQ2VydGlmaWNh dGlvbiBBdXRob3JpdHkwHhcNMDYwOTE3MTk0NjM2WhcNMzYwOTE3MTk0NjM2WjB9 MQswCQYDVQQGEwJJTDEWMBQGA1UEChMNU3RhcnRDb20gTHRkLjErMCkGA1UECxMi U2VjdXJlIERpZ2l0YWwgQ2VydGlmaWNhdGUgU2lnbmluZzEpMCcGA1UEAxMgU3Rh cnRDb20gQ2VydGlmaWNhdGlvbiBBdXRob3JpdHkwggIiMA0GCSqGSIb3DQEBAQUA A4ICDwAwggIKAoICAQDBiNsJvGxGfHiflXu1M5DycmLWwTYgIiRezul38kMKogZk pMyONvg45iPwbm2xPN1yo4UcodM9tDMr0y+v/uqwQVlntsQGfQqedIXWeUyAN3rf OQVSWff0G0ZDpNKFhdLDcfN1YjS6LIp/Ho/u7TTQEceWzVI9ujPW3U3eCztKS5/C Ji/6tRYccjV3yjxd5srhJosaNnZcAdt0FCX+7bWgiA/deMotHweXMAEtcnn6RtYT Kqi5pquDSR3l8u/d5AGOGAqPY1MWhWKpDhk6zLVmpsJrdAfkK+F2PrRt2PZE4XNi HzvEvqBTViVsUQn3qqvKv3b9bZvzndu/PWa8DFaqr5hIlTpL36dYUNk4dalb6kMM Av+Z6+hsTXBbKWWc3apdzK8BMewM69KN6Oqce+Zu9ydmDBpI125C4z/eIT574Q1w +2OqqGwaVLRcJXrJosmLFqa7LH4XXgVNWG4SHQHuEhANxjJ/GP/89PrNbpHoNkm+ Gkhpi8KWTRoSsmkXwQqQ1vp5Iki/untp+HDH+no32NgN0nZPV/+Qt+OR0t3vwmC3 Zzrd/qqc8NSLf3Iizsafl7b4r4qgEKjZ+xjGtrVcUjyJthkqcwEKDwOzEmDyei+B 26Nu/yYwl/WL3YlXtq09s68rxbd2AvCl1iuahhQqcvbjM4xdCUsT37uMdBNSSwID AQABo4ICUjCCAk4wDAYDVR0TBAUwAwEB/zALBgNVHQ8EBAMCAa4wHQYDVR0OBBYE FE4L7xqkQFulF2mHMMo0aEPQQa7yMGQGA1UdHwRdMFswLKAqoCiGJmh0dHA6Ly9j ZXJ0LnN0YXJ0Y29tLm9yZy9zZnNjYS1jcmwuY3JsMCugKaAnhiVodHRwOi8vY3Js LnN0YXJ0Y29tLm9yZy9zZnNjYS1jcmwuY3JsMIIBXQYDVR0gBIIBVDCCAVAwggFM BgsrBgEEAYG1NwEBATCCATswLwYIKwYBBQUHAgEWI2h0dHA6Ly9jZXJ0LnN0YXJ0 Y29tLm9yZy9wb2xpY3kucGRmMDUGCCsGAQUFBwIBFilodHRwOi8vY2VydC5zdGFy dGNvbS5vcmcvaW50ZXJtZWRpYXRlLnBkZjCB0AYIKwYBBQUHAgIwgcMwJxYgU3Rh cnQgQ29tbWVyY2lhbCAoU3RhcnRDb20pIEx0ZC4wAwIBARqBl0xpbWl0ZWQgTGlh YmlsaXR5LCByZWFkIHRoZSBzZWN0aW9uICpMZWdhbCBMaW1pdGF0aW9ucyogb2Yg dGhlIFN0YXJ0Q29tIENlcnRpZmljYXRpb24gQXV0aG9yaXR5IFBvbGljeSBhdmFp bGFibGUgYXQgaHR0cDovL2NlcnQuc3RhcnRjb20ub3JnL3BvbGljeS5wZGYwEQYJ YIZIAYb4QgEBBAQDAgAHMDgGCWCGSAGG+EIBDQQrFilTdGFydENvbSBGcmVlIFNT TCBDZXJ0aWZpY2F0aW9uIEF1dGhvcml0eTANBgkqhkiG9w0BAQUFAAOCAgEAFmyZ 9GYMNPXQhV59CuzaEE44HF7fpiUFS5Eyweg78T3dRAlbB0mKKctmArexmvclmAk8 jhvh3TaHK0u7aNM5Zj2gJsfyOZEdUauCe37Vzlrk4gNXcGmXCPleWKYK34wGmkUW FjgKXlf2Ysd6AgXmvB618p70qSmD+LIU424oh0TDkBreOKk8rENNZEXO3SipXPJz ewT4F+irsfMuXGRuczE6Eri8sxHkfY+BUZo7jYn0TZNmezwD7dOaHZrzZVD1oNB1 ny+v8OqCQ5j4aZyJecRDjkZy42Q2Eq/3JR44iZB3fsNrarnDy0RLrHiQi+fHLB5L EUTINFInzQpdn4XBidUaePKVEFMy3YCEZnXZtWgo+2EuvoSoOMCZEoalHmdkrQYu L6lwhceWD3yJZfWOQ1QOq92lgDmUYMA0yZZwLKMS9R9Ie70cfmu3nZD0Ijuu+Pwq yvqCUqDvr0tVk+vBtfAii6w0TiYiBKGHLHVKt+V9E9e4DGTANtLJL4YSjCMJwRuC O3NJo2pXh5Tl1njFmUNj403gdy3hZZlyaQQaRwnmDwFWJPsfvw55qVguucQJAX6V um0ABj6y6koQOdjQK/W/7HW/lwLFCRsI3FU34oH7N4RDYiDK51ZLZer+bMEkkySh NOsF/5oirpt9P/FlUQqmMGqz9IgcgA38corog14= -----END CERTIFICATE-----''' ########NEW FILE######## __FILENAME__ = flootty #!/usr/bin/env python # coding: utf-8 try: unicode() except NameError: unicode = str # Heavily influenced by the work of Joshua D. Bartlett # see: http://sqizit.bartletts.id.au/2011/02/14/pseudo-terminals-in-python/ # original copyright # Copyright (c) 2011 Joshua D. Bartlett # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # boilerplate to allow running as script directly if __name__ == "__main__" and __package__ is None: import sys import os # The following assumes the script is in the top level of the package # directory. We use dirname() to help get the parent directory to add to # sys.path, so that we can import the current package. This is necessary # since when invoked directly, the 'current' package is not automatically # imported. parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, parent_dir) import flootty assert flootty __package__ = str("flootty") del sys, os import atexit import fcntl import json import optparse import array import os import pty import select import socket import ssl import sys import tempfile import termios import tty import signal import time import base64 import collections import errno PY2 = sys.version_info < (3, 0) try: import __builtin__ input = getattr(__builtin__, 'raw_input') except (ImportError, AttributeError): pass try: from . import api, cert, shared as G, utils, version assert api and cert and G and utils except (ImportError, ValueError): import api import cert import shared as G import utils import version PROTO_VERSION = '0.11' CLIENT = 'flootty %s' % version.FLOOTTY_VERSION INITIAL_RECONNECT_DELAY = 1000 FD_READ_BYTES = 65536 # Seconds SELECT_TIMEOUT = 0.1 NET_TIMEOUT = 10 MAX_BYTES_TO_BUFFER = 65536 DEFAULT_HOST = "floobits.com" DEFAULT_PORT = 3448 def read_floorc(): settings = {} p = os.path.expanduser('~/.floorc') try: fd = open(p, 'rb') except IOError as e: if e.errno == 2: return settings raise data = fd.read().decode('utf-8') fd.close() for line in data.split('\n'): position = line.find(' ') if position < 0: continue settings[line[:position]] = line[position + 1:] return settings def write(fd, b): if (not PY2) and isinstance(b, str): b = b.encode('utf-8') elif PY2 and isinstance(b, unicode): b = b.encode('utf-8') while len(b): try: n = os.write(fd, b) b = b[n:] except (IOError, OSError): pass def read(fd): buf = b'' while True: try: d = os.read(fd, FD_READ_BYTES) if not d or d == '': break buf += d except (IOError, OSError): break return buf def out(*args): buf = "%s\r\n" % " ".join(args) write(pty.STDOUT_FILENO, buf) def err(*args): buf = "%s\r\n" % " ".join(args) write(pty.STDERR_FILENO, buf) def die(*args): err(*args) sys.exit(1) usage = '''usage: %prog [options] [terminal_name]\n For more help, see https://github.com/Floobits/flootty''' def main(): settings = read_floorc() parser = optparse.OptionParser(usage=usage) parser.add_option("-u", "--username", dest="username", default=settings.get('username'), help="Your Floobits username") parser.add_option("-s", "--secret", dest="secret", default=settings.get('secret'), help="Your Floobits secret (api key)") parser.add_option("-c", "--create", dest="create", default=False, action="store_true", help="The terminal name to create") parser.add_option("--host", dest="host", default=DEFAULT_HOST, help="The host to connect to. Deprecated. Use --url instead.") parser.add_option("-p", "--port", dest="port", default=DEFAULT_PORT, help="The port to connect to. Deprecated. Use --url instead.") parser.add_option("-w", "--workspace", dest="workspace", help="The workspace name. --owner is required with this option. Deprecated. Use --url instead.") parser.add_option("-o", "--owner", dest="owner", help="The workspace owner. --workspace is required with this option. Deprecated. Use --url instead.") parser.add_option("-l", "--list", dest="list", default=False, action="store_true", help="List all terminals in the workspace") parser.add_option("--unsafe", dest="safe", default=True, action="store_false", help="Less safe terminal. This allows other users to send enter in your terminal.") parser.add_option("--no-ssl", dest="use_ssl", default=True, action="store_false", help="Do not use this option unless you know what you are doing!") parser.add_option("--url", dest="workspace_url", default=None, help="The URL of the workspace to connect to.") parser.add_option("--resize", dest="resize", default=False, action="store_true", help="Resize your terminal to the host terminal size.") parser.add_option("-P", "--preserve-ps1", dest="set_prompt", default=True, action="store_false", help="Don't change $PS1 (bash/zsh prompt)") parser.add_option("-v", "--version", dest="version", default=False, action="store_true", help="Print version") options, args = parser.parse_args() if options.version: print(CLIENT) return G.USERNAME = options.username G.SECRET = options.secret default_term_name = "" if options.create: default_term_name = "ftty" term_name = args and args[0] or default_term_name if options.workspace and options.owner and options.workspace_url: # TODO: confusing parser.error("You can either specify --workspace and --owner, or --url, but not both.") if bool(options.workspace) != bool(options.owner): parser.error("You must specify a workspace and owner or neither.") for opt in ['owner', 'workspace']: if getattr(options, opt): print('%s is deprecated. Please use --url instead.' % opt) if not options.workspace or not options.owner: floo = {} if options.workspace_url: floo = utils.parse_url(options.workspace_url) else: for floo_path in walk_up(os.path.realpath('.')): try: floo = json.loads(open(os.path.join(floo_path, '.floo'), 'rb').read().decode('utf-8')) floo = utils.parse_url(floo['url']) except Exception: pass else: break options.host = floo.get('host') options.workspace = floo.get('workspace') options.owner = floo.get('owner') options.use_ssl = floo.get('secure') if not options.port: options.port = floo.get('port') if not options.host: options.host = floo.get('host') if not options.workspace or not options.owner: now_editing = api.get_now_editing_workspaces() now_editing = json.loads(now_editing.read().decode('utf-8')) if len(now_editing) == 1: options.workspace = now_editing[0]['name'] options.owner = now_editing[0]['owner'] # TODO: list possible workspaces to join if > 1 is active if options.list: if len(term_name) != 0: die("I don't understand why you gave me a positional argument.") for opt in ['workspace', 'owner', 'username', 'secret']: if not getattr(options, opt): parser.error('%s not given' % opt) color_reset = '\033[0m' if options.safe: green = '\033[92m' print('%sTerminal is safe. Other users will not be able to send [enter]%s' % (green, color_reset)) else: yellorange = '\033[93m' print('%sTerminal is unsafe. Other users will be able to send [enter]. Be wary!%s' % (yellorange, color_reset)) f = Flootty(options, term_name) atexit.register(f.cleanup) f.connect_to_internet() f.select() def walk_up(path): step_up = lambda x: os.path.realpath(os.path.join(x, '..')) parent = step_up(path) while parent != path: yield path path = parent parent = step_up(path) yield path class FD(object): def __init__(self, fileno, reader=None, writer=None, errer=None, name=None): self.fileno = fileno self.reader = reader self.writer = writer self.errer = errer self.name = name def __getitem__(self, key): return getattr(self, key, None) def __str__(self): return str(self.name) class Flootty(object): '''Mostly OK at sharing a shell''' def __init__(self, options, term_name): self.master_fd = None self.original_wincher = None self.fds = {} self.readers = set() self.writers = set() self.errers = set() self.empty_selects = 0 self.reconnect_timeout = None self.buf_out = collections.deque() self.buf_in = b'' self.host = options.host self.port = int(options.port) self.workspace = options.workspace self.owner = options.owner self.options = options self.term_name = term_name self.authed = False self.term_id = None self.orig_stdin_atts = None self.orig_stdout_atts = None self.last_stdin = 0 self.reconnect_delay = INITIAL_RECONNECT_DELAY def add_fd(self, fileno, **kwargs): try: fileno = fileno.fileno() except: fileno = fileno fd = FD(fileno, **kwargs) self.fds[fileno] = fd if fd.reader: self.readers.add(fileno) if fd.writer: self.writers.add(fileno) if fd.errer: self.errers.add(fileno) def remove_fd(self, fileno): self.readers.discard(fileno) self.writers.discard(fileno) self.errers.discard(fileno) try: del self.fds[fileno] except KeyError: pass def transport(self, name, data): data['name'] = name self.buf_out.append(data) def select(self): ''' ''' attrs = ('errer', 'reader', 'writer') while True: utils.call_timeouts() if len(self.buf_out) == 0 and self.sock: self.writers.remove(self.sock.fileno()) try: # NOTE: you will never have to write anything without reading first from a different one _in, _out, _except = select.select(self.readers, self.writers, self.errers, SELECT_TIMEOUT) except (IOError, OSError) as e: continue except (select.error, socket.error, Exception) as e: # Interrupted system call. if e[0] == 4: continue self.reconnect() continue finally: if self.sock: self.writers.add(self.sock.fileno()) for position, fds in enumerate([_except, _in, _out]): attr = attrs[position] for fd in fds: # the handler can remove itself from self.fds... handler = self.fds.get(fd) if handler is None: continue handler = handler[attr] if handler: handler(fd) else: raise Exception('no handler for fd: %s %s' % (fd, attr)) def cloud_read(self, fd): buf = b'' try: while True: d = self.sock.recv(FD_READ_BYTES) if not d: break buf += d except (socket.error, TypeError): pass if buf: self.empty_selects = 0 self.handle(buf) else: self.empty_selects += 1 if (int(self.empty_selects * SELECT_TIMEOUT)) > NET_TIMEOUT: err('No data from sock.recv() {0} times.'.format(self.empty_selects)) return self.reconnect() def cloud_write(self, fd): new_buf_out = collections.deque() try: while True: item = self.buf_out.popleft() data = json.dumps(item) + '\n' if self.authed or item['name'] == 'auth': if not PY2: data = data.encode('utf-8') self.sock.sendall(data) else: new_buf_out.append(item) except socket.error: self.buf_out.appendleft(item) self.reconnect() except IndexError: pass self.buf_out.extendleft(new_buf_out) def cloud_err(self, err): out('reconnecting because of %s' % err) self.reconnect() def handle(self, req): self.buf_in += req while True: before, sep, after = self.buf_in.partition(b'\n') if not sep: break data = json.loads(before.decode('utf-8'), encoding='utf-8') self.handle_event(data) self.buf_in = after def handle_event(self, data): name = data.get('name') if not name: return out('no name in data?!?') func = getattr(self, "on_%s" % (name), None) if not func: return func(data) def on_room_info(self, ri): self.authed = True self.ri = ri def list_terms(terms): term_name = "" for term_id, term in terms.items(): owner = str(term['owner']) term_name = term['term_name'] out('terminal %s created by %s' % (term['term_name'], ri['users'][owner]['username'])) return term_name if self.options.create: buf = self._get_pty_size() term_name = self.term_name i = 0 term_names = [term['term_name'] for term_id, term in ri['terms'].items()] while term_name in term_names: i += 1 term_name = self.term_name + str(i) self.term_name = term_name return self.transport('create_term', {'term_name': self.term_name, 'size': [buf[1], buf[0]]}) elif self.options.list: out('Terminals in %s::%s' % (self.owner, self.workspace)) list_terms(ri['terms']) return die() elif not self.term_name: if len(ri['terms']) == 0: out('There is no active terminal in this workspace. Do you want to share your terminal? (y/n)') choice = input().lower() self.term_name = "_" if choice == 'y': self.options.create = True buf = self._get_pty_size() return self.transport('create_term', {'term_name': self.term_name, 'size': [buf[1], buf[0]]}) else: die('If you ever change your mind, you can share your terminal using the --create [super_awesome_name] flag.') elif len(ri['terms']) == 1: term_id, term = list(ri['terms'].items())[0] self.term_id = int(term_id) self.term_name = term['term_name'] else: out('More than one active term exists in this workspace.') example_name = list_terms(ri['terms']) die('Please pick a workspace like so: flootty %s' % example_name) else: for term_id, term in ri['terms'].items(): if term['term_name'] == self.term_name: self.term_id = int(term_id) break if self.term_id is None: die('No terminal with name %s' % self.term_name) return self.join_term() def on_ping(self, data): self.transport('pong', {}) def on_disconnect(self, data): reason = data.get('reason') out('Disconnected by server!') if reason: # TODO: don't kill terminal until current process is done or something die('Reason: %s' % reason) self.reconnect() def on_error(self, data): if self.term_id is None: die(data.get('msg')) else: out('Error from server: %s' % data.get('msg')) def on_create_term(self, data): if data.get('term_name') != self.term_name: return self.term_id = data.get('id') self.create_term() def on_delete_term(self, data): if data.get('id') != self.term_id: return die('User %s killed the terminal. Exiting.' % (data.get('username'))) def on_update_term(self, data): if data.get('id') != self.term_id: return self._set_pty_size() def on_term_stdin(self, data): if data.get('id') != self.term_id: return if not self.options.create: return self.handle_stdio(base64.b64decode(data['data']), data.get('user_id')) def on_term_stdout(self, data): if data.get('id') != self.term_id: return self.handle_stdio(data['data']) def reconnect(self): if self.reconnect_timeout: return new_buf_out = collections.deque() total_len = 0 while True: try: item = self.buf_out.popleft() except IndexError: break if item['name'] == 'term_stdout': total_len += len(item['data']) if total_len > MAX_BYTES_TO_BUFFER: continue new_buf_out.appendleft(item) self.buf_out = new_buf_out if self.sock: self.remove_fd(self.sock.fileno()) try: self.sock.shutdown(2) except Exception: pass try: self.sock.close() except Exception: pass self.sock = None self.authed = False self.reconnect_delay *= 1.5 if self.reconnect_delay > 10000: self.reconnect_delay = 10000 self.reconnect_timeout = utils.set_timeout(self.connect_to_internet, self.reconnect_delay) def send_auth(self): self.buf_out.appendleft({ 'name': 'auth', 'username': self.options.username, 'secret': self.options.secret, 'room': self.workspace, 'room_owner': self.owner, 'client': CLIENT, 'platform': sys.platform, 'version': PROTO_VERSION }) def connect_to_internet(self): self.empty_selects = 0 self.reconnect_timeout = None self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) if self.options.use_ssl: self.cert_fd = tempfile.NamedTemporaryFile() self.cert_fd.write(cert.CA_CERT.encode('utf-8')) self.cert_fd.flush() self.sock = ssl.wrap_socket(self.sock, ca_certs=self.cert_fd.name, cert_reqs=ssl.CERT_REQUIRED) elif self.port == 3448: self.port = 3148 out('Connecting to %s' % self.workspace_url()) try: self.sock.connect((self.host, self.port)) if self.options.use_ssl: self.sock.do_handshake() except socket.error as e: out('Error connecting: %s.' % e) return self.reconnect() self.sock.setblocking(0) out('Connected!') self.send_auth() self.add_fd(self.sock, reader=self.cloud_read, writer=self.cloud_write, errer=self.cloud_err, name='net') self.reconnect_delay = INITIAL_RECONNECT_DELAY def workspace_url(self): proto = {True: "https", False: "http"} proto_str = proto[self.options.use_ssl] port_str = '' if self.options.use_ssl: if self.port != 3448: port_str = ':%s' % self.port else: if self.port != 3148: port_str = ':%s' % self.port return '%s://%s%s/%s/%s' % (proto_str, self.host, port_str, self.owner, self.workspace) def join_term(self): out('Successfully joined %s' % (self.workspace_url())) self.orig_stdout_atts = tty.tcgetattr(sys.stdout) stdout = sys.stdout.fileno() tty.setraw(stdout) fl = fcntl.fcntl(stdout, fcntl.F_GETFL) fcntl.fcntl(stdout, fcntl.F_SETFL, fl | os.O_NONBLOCK) self.orig_stdin_atts = tty.tcgetattr(sys.stdin) stdin = sys.stdin.fileno() tty.setraw(stdin) fl = fcntl.fcntl(stdin, fcntl.F_GETFL) fcntl.fcntl(stdin, fcntl.F_SETFL, fl | os.O_NONBLOCK) def ship_stdin(fd): data = read(fd) if data: self.transport("term_stdin", {'data': base64.b64encode(data).decode('utf8'), 'id': self.term_id}) if 'term_stdin' in self.ri['perms']: out('You have permission to write to this terminal. Remember: With great power comes great responsibility.') self.add_fd(stdin, reader=ship_stdin, name='join_term_stdin') else: out('You do not have permission to write to this terminal.') def stdout_write(buf): write(stdout, base64.b64decode(buf)) self.handle_stdio = stdout_write self._set_pty_size(self.ri['terms'][str(self.term_id)]['size']) def create_term(self): ''' Create a spawned process. Based on the code for pty.spawn(). ''' if self.master_fd: # reconnected. don't spawn a new shell out('Reconnected to %s' % (self.workspace_url())) return shell = os.environ['SHELL'] out('Successfully joined %s' % (self.workspace_url())) self.child_pid, self.master_fd = pty.fork() if self.child_pid == pty.CHILD: os.execlpe(shell, shell, '--login', os.environ) self.orig_stdin_atts = tty.tcgetattr(sys.stdin.fileno()) tty.setraw(pty.STDIN_FILENO) self.original_wincher = signal.signal(signal.SIGWINCH, self._signal_winch) self._set_pty_size() def slave_death(fd): die('Exiting flootty because child exited.') self.extra_data = b'' def stdout_write(fd): ''' Called when there is data to be sent from the child process back to the user. ''' try: data = self.extra_data + os.read(fd, FD_READ_BYTES) except: data = None if not data: return die("Time to go!") self.transport("term_stdout", {'data': base64.b64encode(data).decode('utf8'), 'id': self.term_id}) write(pty.STDOUT_FILENO, data) self.add_fd(self.master_fd, reader=stdout_write, errer=slave_death, name='create_term_stdout_write') def stdin_write(fd): data = os.read(fd, FD_READ_BYTES) if data: write(self.master_fd, data) now = time.time() # Only send stdin event if it's been > 2 seconds. This prevents people from figuring out password lengths if now - self.last_stdin > 2: self.transport("term_stdin", {'data': ' ', 'id': self.term_id}) self.last_stdin = now self.add_fd(pty.STDIN_FILENO, reader=stdin_write, name='create_term_stdin_write') def net_stdin_write(buf, user_id=None): if self.options.safe: if buf.find('\n') != -1 or buf.find('\r') != -1: to = user_id or [] self.transport('datamsg', { 'to': to, 'data': { 'name': 'safe_term', 'term_id': self.term_id, 'msg': 'Terminal %s is in safe mode. Other users are not allowed to press enter.' % self.term_name, }}) self.transport('term_stdout', { 'id': self.term_id, 'data': base64.b64encode('\a').decode('utf8'), }) buf = buf.replace('\n', '') buf = buf.replace('\r', '') if not buf: return write(self.master_fd, buf) self.handle_stdio = net_stdin_write color_green = '\\[\\e[32m\\]' color_reset = '\\[\\033[0m\\]' color_yellorange = '\\[\\e[93m\\]' # TODO: other shells probably use weird color escapes if 'zsh' in shell: color_green = "%{%F{green}%}" color_reset = "%{%f%}" color_yellorange = "%{%F{yellow}%}" if self.options.set_prompt: term_color = color_yellorange if self.options.safe: term_color = color_green # Not confusing at all </sarcasm> cmd = 'PS1="%s%s::%s::%s%s%s%s $PS1"\n' % (color_green, self.owner, self.workspace, color_reset, term_color, self.term_name, color_reset) write(self.master_fd, cmd) def _signal_winch(self, signum, frame): ''' Signal handler for SIGWINCH - window size has changed. ''' self._set_pty_size() def _get_pty_size(self): buf = array.array('h', [0, 0, 0, 0]) fcntl.ioctl(pty.STDOUT_FILENO, termios.TIOCGWINSZ, buf, True) return buf def _set_pty_size(self, size=None): ''' Sets the window size of the child pty based on the window size of our own controlling terminal. ''' # Get the terminal size of the real terminal, set it on the pseudoterminal. buf = self._get_pty_size() if size: buf[0] = size[1] buf[1] = size[0] if self.options.create: assert self.master_fd is not None fcntl.ioctl(self.master_fd, termios.TIOCSWINSZ, buf) if self.term_id: self.transport('update_term', {'id': self.term_id, 'size': [buf[1], buf[0]]}) else: # XXXX: this resizes the window :/ if self.options.resize: os.write(pty.STDOUT_FILENO, "\x1b[8;{rows};{cols}t".format(rows=buf[0], cols=buf[1])) fcntl.ioctl(pty.STDOUT_FILENO, termios.TIOCSWINSZ, buf) def cleanup(self): if self.orig_stdout_atts: self.orig_stdout_atts[3] = self.orig_stdout_atts[3] | termios.ECHO tty.tcsetattr(sys.stdout, tty.TCSAFLUSH, self.orig_stdout_atts) if self.orig_stdin_atts: self.orig_stdin_atts[3] = self.orig_stdin_atts[3] | termios.ECHO tty.tcsetattr(sys.stdin, tty.TCSAFLUSH, self.orig_stdin_atts) if self.original_wincher: signal.signal(signal.SIGWINCH, self.original_wincher) try: self.cert_fd.close() except Exception: pass print('ciao.') if __name__ == '__main__': main() ########NEW FILE######## __FILENAME__ = shared import os __VERSION__ = '' __PLUGIN_VERSION__ = '' # Config settings USERNAME = '' SECRET = '' API_KEY = '' DEBUG = False SOCK_DEBUG = False ALERT_ON_MSG = True LOG_TO_CONSOLE = False BASE_DIR = os.path.expanduser(os.path.join('~', 'floobits')) # Shared globals DEFAULT_HOST = 'floobits.com' DEFAULT_PORT = 3448 SECURE = True SHARE_DIR = None COLAB_DIR = '' PROJECT_PATH = '' JOINED_WORKSPACE = False PERMS = [] STALKER_MODE = False AUTO_GENERATED_ACCOUNT = False PLUGIN_PATH = None WORKSPACE_WINDOW = None CHAT_VIEW = None CHAT_VIEW_PATH = None TICK_TIME = 100 AGENT = None IGNORE_MODIFIED_EVENTS = False VIEW_TO_HASH = {} FLOORC_PATH = os.path.expanduser(os.path.join('~', '.floorc')) ########NEW FILE######## __FILENAME__ = utils import re import time from collections import defaultdict try: from urllib.parse import urlparse assert urlparse except ImportError: from urlparse import urlparse try: from . import shared as G assert G except (ImportError, ValueError): import shared as G top_timeout_id = 0 cancelled_timeouts = set() timeout_ids = set() timeouts = defaultdict(list) def set_timeout(func, timeout, *args, **kwargs): global top_timeout_id timeout_id = top_timeout_id top_timeout_id += 1 if top_timeout_id > 100000: top_timeout_id = 0 def timeout_func(): timeout_ids.discard(timeout_id) if timeout_id in cancelled_timeouts: cancelled_timeouts.remove(timeout_id) return func(*args, **kwargs) then = time.time() + (timeout / 1000.0) timeouts[then].append(timeout_func) timeout_ids.add(timeout_id) return timeout_id def cancel_timeout(timeout_id): if timeout_id in timeout_ids: cancelled_timeouts.add(timeout_id) def call_timeouts(): now = time.time() to_remove = [] for t, tos in timeouts.copy().items(): if now >= t: for timeout in tos: timeout() to_remove.append(t) for k in to_remove: del timeouts[k] def parse_url(workspace_url): secure = G.SECURE owner = None workspace_name = None parsed_url = urlparse(workspace_url) port = parsed_url.port if not port: port = G.DEFAULT_PORT if parsed_url.scheme == 'http': if not port: port = 3148 secure = False result = re.match('^/([-\@\+\.\w]+)/([-\@\+\.\w]+)/?$', parsed_url.path) if not result: result = re.match('^/r/([-\@\+\.\w]+)/([-\@\+\.\w]+)/?$', parsed_url.path) if result: (owner, workspace_name) = result.groups() else: raise ValueError('%s is not a valid Floobits URL' % workspace_url) return { 'host': parsed_url.hostname, 'owner': owner, 'port': port, 'workspace': workspace_name, 'secure': secure, } ########NEW FILE######## __FILENAME__ = version FLOOTTY_VERSION = '2.1.4' ########NEW FILE########

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2020-10-04T09:44:06

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from django.contrib import admin from .models import Course admin.site.register(Course)

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refs/heads/main

2023-05-26T00:56:38.292455

2021-06-09T14:11:46

375,378,400

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MIT

2021-06-09T14:11:47

2021-06-09T14:10:06

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UTF-8

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py

#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): """Run administrative tasks.""" os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'recipebox.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

[ "danielle@oakandivymedia.com" ]

danielle@oakandivymedia.com

511fe8b79650e5129209a33e6c7d768af423c6e6

2a1f4c4900693c093b2fcf4f84efa60650ef1424

/py/dome/backend/apps.py

fc8e9e1db58cfc9dbc955eb7df36461f862fe2b5

[ "BSD-3-Clause" ]

permissive

bridder/factory

b925f494303728fa95017d1ba3ff40ac5cf6a2fd

a1b0fccd68987d8cd9c89710adc3c04b868347ec

refs/heads/master

2023-08-10T18:51:08.988858

2021-09-21T03:25:28

null

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UTF-8

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294

py

# Copyright 2016 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from __future__ import unicode_literals from django.apps import AppConfig class BackendConfig(AppConfig): name = 'backend'

[ "chrome-bot@chromium.org" ]

chrome-bot@chromium.org

cb5e4cf9e89b4161efe98de831afd47a6290f0db

1c8a05b18d1e895a99e92c9d9d48f30296342a76

/2. socket通信.py

98e28c13d8edce629a2e35f4eaa157199c53bdfa

[]

no_license

codingtruman/socket-UDP

1190bbd1a5055bf6461d6cb2b499a81e234760f0

6b4e9839b14571f6472f6fc7b37514c31f353789

refs/heads/master

2023-01-04T18:38:37.356220

2020-11-04T01:20:21

null

0

null

UTF-8

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1,374

py

from socket import * # 创建TCP socket tcpSocket = socket(AF_INET, SOCK_STREAM) print('TCP socket created') # 设置地址，端口和要发送的数据 sendAddr = ('192.168.0.19', 3306) # 如果此处没写b，下面使用sendData时要变成sendData.encode('utf-8') sendData = b'ok, tcp' # 连接服务器和发送 # tcpSocket.connect(sendAddr) # tcpSocket.send(sendData) # 关闭socket tcpSocket.close() ############################################## # 创建UDP socket udpSocket = socket(AF_INET, SOCK_DGRAM) print('UDP socket created') # 绑定本地信息，如果一个网络程序不稳定，系统就会随机分配。但一般情况作为接收方时需要绑定 # bind()参数是个元祖 #IP一般不用写，表示本机任何一个IP，有几个网卡就几个IP udpSocket.bind(('', 3304)) # 设置地址，端口和要发送的数据 sendAddr = ('192.168.0.19', 3306) sendData = 'ok, 尼玛123' # 在这里就他妈的提前转换好编码 sendData = sendData.encode('utf-8') # 连接服务器和发送 udpSocket.sendto(sendData, sendAddr) # 等待接收方发送数据 # 设置一次只接收1024 bytes recvdata = udpSocket.recvfrom(1024) # recvData是个元祖 content, host_info = recvdata # 如果接收的是中文消息，用utf-8解码会报错的！ content = content.decode('gb2312') print(content, host_info) # 关闭socket udpSocket.close()

[ "maplewong04@gmail.com" ]

maplewong04@gmail.com

9d0d9428ad332411b938df93cd900f02fefc493a

f921b215086d6556885da0c50b68e4de861216ac

/src/helpers/operations.py

b533530fbdc6a9316593c2f4f7a1a166640e31d8

[]

no_license

tonaflcastelan/prueba-ing-backend

afee173d31d78139306a38a55d4e98f219281068

7c114be5e4c59c0e2b0fd3775ba237ac94e6f4a4

refs/heads/master

2022-12-03T23:58:36.924155

2020-08-04T00:17:54

284,596,408

0

null

2020-08-03T03:42:34

2020-08-03T03:42:33

null

UTF-8

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241

py

def get_average(value1, value2) -> float: """ Get average """ return (value1 + value2) / 2 def get_percent(dividend, divider) -> float: """ Get percent """ return round((float(dividend / divider)), 2) * 100

[ "tona.castelan16@gmail.com" ]

tona.castelan16@gmail.com

091a0e98da2ac80625b44ff0b4fd86db82597c27

0e50b69d115d90eccec55b7049e5d8f5ee438ba3

/brabbl/accounts/migrations/0013_user_image.py

6b2bb515e6d0afc8c80631c7a3cc8641dcf7ed27

[]

no_license

strader07/brabbl-backend-django

bd7a5d3e328e3ff975e450e9fd8de933b2a3992c

795113ee7e1c3d7ed3b093f8c9435777a29bfd10

refs/heads/master

2023-05-15T05:31:51.422840

2021-06-04T16:12:23

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UTF-8

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464

py

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('accounts', '0012_auto_20160308_1500'), ] operations = [ migrations.AddField( model_name='user', name='image', field=models.ImageField(blank=True, null=True, upload_to='images/profiles/', verbose_name='Profilbild'), ), ]

[ "v7sion@topdogtek.com" ]

v7sion@topdogtek.com

c55382d209d32058d1850a42aceb160d7068f6a1

9a65cdc78a860ecc176985860f2d02a841b72ef2

/editors/vinegar.py

bef3383bb94eb863957f44686bc9bb7a51fb3207

[]

no_license

akanevs/dsp

4da0354c78b8c0b33bce94af471d3d65ef3e7c0c

7e97f2fbfdfd0a6647affcd74303ee8e4a30bde6

refs/heads/master

2021-01-22T18:15:30.340275

2017-09-18T02:26:01

100,755,288

0

null

2017-08-18T22:42:07

null

UTF-8

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false

123

py

print('This is not my first or even second file created using vim') print('This was was created by Alex in Millburn, NJ!')

[ "noreply@github.com" ]

noreply@github.com

719fe210dc977586a94742653b7a84094eb6aa0d

68ff38f2dd0188909737b395ac227ec0e205d024

/Project-2/src/UtilsModule.py

d2d03210a398be119b8953bc2db5d6cfbc88b347

[]

no_license

kushagraThapar/Data-Mining

7c3992c5efe820185e5197c8098168ae92e68cf9

658f3fdc8c4ea91d717cb36d5504d5e1fb803960

refs/heads/master

2021-01-18T15:40:23.412283

2017-01-29T08:49:04

68,418,623

0

null

UTF-8

Python

false

1,160

py

import sys def write_file(filename, text): try: f = open(filename, "w") f.write(text) f.close() except IOError: print("IOError occurred in file [" + filename + "]") exit_program() return def read_file(filename): try: f = open(filename, "rU") text = f.read() f.close() return text except FileNotFoundError: print("File not found with name [" + filename + "]") except IOError: print("IOError occurred in file [" + filename + "]") exit_program() def process_tweets(tweet_data): if tweet_data is None or tweet_data.strip() is "": print("Tweet Data is Empty") exit_program() for single_row in tweet_data.split("\n"): single_row = single_row.strip() single_row_array = single_row.split(",", 3) if len(single_row_array) >= 3: last_index = single_row_array[3].rfind("\"") tweet = single_row_array[3][0:last_index + 1] tweet_class = single_row_array[3][last_index + 2:last_index + 3] def exit_program(): print("Program will exit now... ") sys.exit(1)

[ "kthapa2@uic.edu" ]

kthapa2@uic.edu

52b11a09076f3904dc2f45e1e998edf62a885d87

aae0432eede626a0ac39ff6d81234e82f8d678c2

/leetcode/algorithm/4.median-of-two-sorted-arrays.py

63670a63bf49ee10613895df33ff3b9ae3388fc8

[]

no_license

KIDJourney/algorithm

81c00186a6dfdc278df513d25fad75c78eb1bf68

e1cf8e12050b9f1419a734ff93f9c626fc10bfe0

refs/heads/master

2022-11-24T09:30:16.692316

2022-11-06T09:33:51

40,428,125

2

0

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UTF-8

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1,035

py

# # @lc app=leetcode id=4 lang=python3 # # [4] Median of Two Sorted Arrays # # @lc code=start class Solution: def findMedianSortedArrays(self, nums1, nums2) -> float: return self.easy(nums1, nums2) def easy(self, nums1, nums2): result = [] idx1, idx2 = 0, 0 while True: if idx1 == len(nums1) and idx2 == (len(nums2)): break if idx1 == len(nums1): result.append(nums2[idx2]) idx2 += 1 continue if idx2 == len(nums2): result.append(nums1[idx1]) idx1 += 1 continue if nums1[idx1] > nums2[idx2]: result.append(nums2[idx2]) idx2 += 1 else: result.append(nums1[idx1]) idx1 += 1 mid = len(result) // 2 if len(result) % 2 == 0: return (result[mid] + result[mid-1]) / 2.0 else: return (result[mid]) # @lc code=end

[ "kingdeadfish@qq.com" ]

kingdeadfish@qq.com

9532029f8f9affb83b76eb28c4c4b4ce1d9c037f

bf3d802cf7b75ab84fc0bfae125d9b0cc1aed1e4

/API/manager/salt.py

c39acfedaf0ef0d82652fed0385c66ddd4be0276

[]

no_license

AlesKas/BAK

cf93c6b2a7475139bbfc8833e811264efcf0d8ff

56f4ac00a523c4ac02da0b7e33590d0b3dd2b190

refs/heads/master

2023-04-21T10:46:44.359788

2021-05-12T14:17:40

197,364,568

0

null

UTF-8

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false

378

py

import json from utils.logger import initLogging from .base import GetRequest, BaseException from utils.db.model import NtwSalt from peewee import DoesNotExist LOGGER = initLogging() class Salt(GetRequest): @classmethod def handle_get(cls, **kwargs): salt = NtwSalt.get().salt response = {} response['salt'] = salt return response

[ "akaspare@redhat.com" ]

akaspare@redhat.com

82f5cd9bfe71e1f9c34be4f1d8c1789d269f969b

61267e7bb146e67d7ce5b81ef8c6fb32cdb1088e

/apps/forums/migrations/0002_auto_20190408_2007.py

b928de461230382f7b0e27ca992d15780a476ae9

[]

no_license

xiaoyaochen/ACshare

8f7e294724d90925f9fb80799c9fbd3680c01057

482985231e0e6d8632c8504a30f994ba246a060a

refs/heads/master

2020-05-07T11:57:43.663344

2019-04-20T14:55:55

180,483,088

1

0

null

UTF-8

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false

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py

# Generated by Django 2.0 on 2019-04-08 20:07 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('forums', '0001_initial'), ] operations = [ migrations.RenameField( model_name='forumscomment', old_name='reviewer', new_name='user', ), ]

[ "1595029296@qq.com" ]

1595029296@qq.com

e56f0bd33da3d74267fd6ab2971ead15aa9263b8

1c488f486d14c19e19af1a46474af224498be193

/experimental/serengeti/blankIBCC.py

649a35a733279dc7605d90eb8296b4e245101794

[ "Apache-2.0" ]

permissive

JiaminXuan/aggregation

fc2117494372428adeed85a9a413e2ff47244664

9a7ecbc2d4b143a73e48b1826b3727b6976fa770

refs/heads/master

2020-12-11T01:49:42.977664

2015-05-22T16:21:15

null

0

null

UTF-8

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#!/usr/bin/env python __author__ = 'greghines' import numpy as np import matplotlib.pyplot as plt import csv import sys import os import pymongo import matplotlib.cbook as cbook sys.path.append("/home/greg/github/pyIBCC/python") import ibcc client = pymongo.MongoClient() db = client['serengeti_2014-07-28'] collection = db["serengeti_classifications"] collection2 = db["serengeti_subjects"] subjects = [] users = [] classifications = [] class_count = {} blank_count = {} retiredBlanks = {} with open("/home/greg/Databases/serengeti_ibcc.py","wb") as f: f.write("import numpy as np\n") f.write("scores = np.array([0,1])\n") f.write("nScores = len(scores)\n") f.write("nClasses = 2\n") f.write("inputFile = \"/home/greg/Databases/serengeti_ibcc.csv\"\n") f.write("outputFile = \"/home/greg/Databases/serengeti_ibcc.out\"\n") f.write("confMatFile = \"/home/greg/Databases/serengeti_ibcc.mat\"\n") f.write("nu0 = np.array([30,70])\n") f.write("alpha0 = np.array([[3, 1], [1,3]])\n") with open("/home/greg/Databases/serengeti_ibcc.csv","wb") as f: f.write("a,b,c\n") import datetime def update(individual_classifications): #start by removing all temp files try: os.remove("/home/greg/Databases/serengeti_ibcc.out") except OSError: pass try: os.remove("/home/greg/Databases/serengeti_ibcc.mat") except OSError: pass try: os.remove("/home/greg/Databases/serengeti_ibcc.csv.dat") except OSError: pass with open("/home/greg/Databases/serengeti_ibcc.csv","a") as f: for u, s, b in individual_classifications: f.write(str(u)+","+str(s)+","+str(b)+"\n") print datetime.datetime.time(datetime.datetime.now()) ibcc.runIbcc("/home/greg/Databases/serengeti_ibcc.py") print datetime.datetime.time(datetime.datetime.now()) def analyze(): with open("/home/greg/Databases/serengeti_ibcc.out","rb") as f: reader = csv.reader(f,delimiter=" ") for subject_index,p0,p1 in reader: subject_index = int(float(subject_index)) subject_id = subjects[subject_index] c = class_count[subject_id] if (float(p1) >= 0.995) and (c>= 2): if not(subject_id in retiredBlanks): retiredBlanks[subject_id] = c #print str(c) + " :: " + str(p1) i = 0 unknownUsers = [] for r in collection.find({"tutorial": {"$ne": True}}): try: user_name = r["user_name"] except KeyError: unknownUsers.append(r["user_ip"]) continue zooniverse_id = r["subjects"][0]["zooniverse_id"] if zooniverse_id in retiredBlanks: continue if ((i%10000) == 0) and (i > 0): print i update(classifications) classifications = [] analyze() if not(user_name in users): users.append(user_name) if not(zooniverse_id in subjects): subjects.append(zooniverse_id) class_count[zooniverse_id] = 0 blank_count[zooniverse_id] = 0 i += 1 user_index = users.index(user_name) subject_index = subjects.index(zooniverse_id) class_count[zooniverse_id] += 1 a = r["annotations"] if not("nothing" in a[-1]): assert('species' in a[0]) blank = 0 else: blank = 1 blank_count[zooniverse_id] += 1 classifications.append((user_index,subject_index,blank)) if i >= 300000: break #print len(unknownUsers) #print len(list(set(unknownUsers))) tBlank = 0 fBlank = 0 speciesList = ['blank','elephant','zebra','warthog','impala','buffalo','wildebeest','gazelleThomsons','dikDik','giraffe','gazelleGrants','lionFemale','baboon','hippopotamus','ostrich','human','otherBird','hartebeest','secretaryBird','hyenaSpotted','mongoose','reedbuck','topi','guineaFowl','eland','aardvark','lionMale','porcupine','koriBustard','bushbuck','hyenaStriped','jackal','cheetah','waterbuck','leopard','reptiles','serval','aardwolf','vervetMonkey','rodents','honeyBadger','batEaredFox','rhinoceros','civet','genet','zorilla','hare','caracal','wildcat'] errors = {s.lower():0 for s in speciesList} for zooniverse_id in retiredBlanks: r = collection2.find_one({"zooniverse_id" : zooniverse_id}) retire_reason = r["metadata"]["retire_reason"] if retire_reason in ["blank", "blank_consensus"]: tBlank += 1 else: fBlank += 1 print zooniverse_id + " :: " + str(r["location"]["standard"][0]) f = max(r["metadata"]["counters"].items(), key = lambda x:x[1]) print f try: errors[f[0].lower()] += 1 print str(blank_count[zooniverse_id]) + "/" + str(class_count[zooniverse_id]) except KeyError: print "---***" #print str(r["metadata"]["counters"].values()) print "==---" print tBlank print fBlank print np.mean(retiredBlanks.values()) print np.median(retiredBlanks.values()) print "===---" for s in speciesList: if errors[s.lower()] != 0: print s + " - " + str(errors[s.lower()])

[ "greg@zooniverse.org" ]

greg@zooniverse.org

b217f0ad3fe6dbfaa9f4171e6b8a876290441a13

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/main.py

e14d58e06f9e5dcfadc2df6bf0025c32e3c3c5c5

[]

no_license

Pepega123/tracker

1bd96244a1d65f06292e20a3a81e07c86d70ba65

ad639d19cd1657d06e04afb32e91979603afd88f

refs/heads/master

2022-09-10T22:16:36.226686

2020-06-05T12:04:30

269,622,023

0

null

UTF-8

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import datetime import hashlib import logging import os import psutil import psycopg2 import time import atexit from db import * logger = logging.getLogger('tracker') logger.setLevel(logging.DEBUG) TOTAL_MINUTES = 0 NEW_DAY = False START_TIME = 0 CURRENT_DATE = datetime.date.today() CONN = psycopg2.connect(**config()) CUR = CONN.cursor() def get_hash(filename): # make a hash object h = hashlib.sha1() # open file for reading in binary mode with open(filename,'rb') as file: # loop till the end of the file chunk = 0 while chunk != b'': # read only 1024 bytes at a time chunk = file.read(1024) h.update(chunk) # return the hex representation of digest return h.hexdigest() def find_proc_by_hash(hash="fdd2fe36c6e859779f8e5e65155acf55d625f7f1"): #find by hash for p in psutil.process_iter(): try: #reduce computational intensity, remove for more thorough search if("C:\\Program Files (x86)\\" in p.exe()): if get_hash(p.exe()) == hash: return True except (psutil.AccessDenied, FileNotFoundError): pass return False def calc_time_diff(start_time, end_time): return int(time.mktime(end_time.timetuple()) - time.mktime(start_time.timetuple())) / 60 def execute_stmt(date, minutes, cur): global NEW_DAY #print(NEW_DAY) #new day, create new entry: if(NEW_DAY): stmnt = "INSERT INTO times(date, minutes) VALUES (\'" + str(date) + "\', " + str(minutes) + ");" NEW_DAY = False #same day, update entry: else: stmnt = "UPDATE times SET minutes = " + str(minutes) + " WHERE date = \'" + str(date) + "\';" logger.debug(stmnt) cur.execute(stmnt) def init(): fh = logging.FileHandler('log/spam.log') fh.setLevel(logging.DEBUG) info = logging.FileHandler('log/info.log') info.setLevel(logging.INFO) formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') fh.setFormatter(formatter) logger.addHandler(fh) logger.addHandler(info) logger.debug("-------------------------------") logger.debug("STARTING APPLICATION") def main(): logger.info("Initializing tracker") init() stmnt = "" global TOTAL_MINUTES global NEW_DAY global START_TIME global CURRENT_DATE UPDATE_INTERVAL = 10 INITIAL_INTERVAL = 10 CURRENT_DATE = datetime.date.today() params = config() conn = psycopg2.connect(**params) cur = conn.cursor() #proc_closed = True #queried_after_close = False #print(get_hash("C:\\Program Files (x86)\\World of Warcraft\\_classic_\\abc.exe")) # get date from previous run stmnt = "SELECT date FROM last_run;" cur.execute(stmnt) last_run_date = cur.fetchall()[0][0] logger.debug(stmnt) logger.debug(str(last_run_date)) if str(last_run_date) != str(CURRENT_DATE): NEW_DAY = True #same day, start counting from already counted hours else: stmnt = "SELECT minutes FROM times WHERE date = \'" + str(CURRENT_DATE) + "\';" cur.execute("SELECT minutes FROM times WHERE date = \'" + str(CURRENT_DATE) + "\';") TOTAL_MINUTES += cur.fetchall()[0][0] logger.debug(stmnt) logger.debug(str(TOTAL_MINUTES)) #TODO: maybe close connection to DB here and reopen at end? #outer while, wait for application to be opened while(True): time.sleep(INITIAL_INTERVAL) process_running = "WowClassic.exe" in (p.name() for p in psutil.process_iter()) or find_proc_by_hash() #process found if(process_running): logger.info("Process started!") START_TIME = datetime.datetime.now() #inner while, count time app is open while("WowClassic.exe" in (p.name() for p in psutil.process_iter()) or find_proc_by_hash()): logger.info("WoW running still...") #TODO: ADD LOGGING STATEMENTS time.sleep(UPDATE_INTERVAL) #wait 10 seconds between checks end_time = datetime.datetime.now() #calculate amount of time application was open elapsed_minutes = calc_time_diff(START_TIME, end_time) TOTAL_MINUTES = TOTAL_MINUTES + elapsed_minutes #wait for process to start else: continue logger.info("Total time active this session: " + str(elapsed_minutes)) logger.info("Total time active today: " + str(TOTAL_MINUTES)) #update last_run cur.execute("UPDATE last_run SET date = \'" + str(CURRENT_DATE) + "\';") #update/insert into times execute_stmt(CURRENT_DATE, TOTAL_MINUTES, cur) #update times #new day, create new entry: # if(NEW_DAY): # stmnt = "INSERT INTO times(date, minutes) VALUES (\'" + str(CURRENT_DATE) + "\', " + str(TOTAL_MINUTES) + ");" # logger.debug(stmnt) # cur.execute(stmnt) # #process has been closed, if it is opened again later it is (most likely) on the same day # NEW_DAY = False # #same day, update entry: # else: # stmnt = "UPDATE times SET minutes = " + str(TOTAL_MINUTES) + " WHERE date = \'" + str(CURRENT_DATE) + "\';" # logger.debug(stmnt) # cur.execute("UPDATE times SET minutes = " + str(TOTAL_MINUTES) + " WHERE date = \'" + str(CURRENT_DATE) + "\';") # cur.execute(stmnt) conn.commit() #start counting fresh next time process is opened #TOTAL_MINUTES = 0 #never reached, maybe close/open before each update instead? #conn.close() #cleanup, log times before exiting atexit.register(execute_stmt, CURRENT_DATE, TOTAL_MINUTES, CUR) if __name__ == "__main__": main()

[ "noreply@github.com" ]

noreply@github.com

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/aws_django/webproj/homepage/views.py

67a0fd3691812ad271e7c1d06af89b09fdcee0ac

[]

no_license

KDT-Hot6/Coogle

29d8778f8510dd14cc10dd7de8f11aab9cfe1e46

9dd742a022f209215df650f016f06bb2cbb0d3b9

refs/heads/main

2023-05-04T23:51:09.554583

2021-05-30T07:15:03

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2

null

UTF-8

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from django.shortcuts import render from rest_framework.views import APIView from rest_framework.response import Response from rest_framework import status from elasticsearch import Elasticsearch from sentence_transformers import SentenceTransformer, util import numpy as np import json import re # Create your views here. ######################################## return html page ########################################## # def main(request): # return render(request, 'main.html', {}) # 식당 리스트를 보여주는 페이지 def getResListpage(request): print(request.GET) search = request.GET.get('q', '') if 'search_key' in request.GET: search = request.GET.get('search_key') info = getInfo(search) res_list = groupingBoard((jsonPaser(info))) content = {'res_list': res_list,} return render(request, 'res_list_page.html', content) # 메인 검색 페이지 def getSearchPage(request): return render(request, 'coogle_search.html') ####################################################################### ########################## elastic search ############################# ####################################################################### model_path = '/home/ubuntu/hot6/bh/KoSentenceBERT_SKTBERT/output/training_stsbenchmark_skt_kobert_model_-2021-03-28_05-25-43_best' embedder = SentenceTransformer(model_path) client = Elasticsearch() res_size = 18 #120 def getInfo(search): query = search vectors = embedder.encode(query, convert_to_tensor=True) query_vector = [vector.tolist() for vector in vectors] script_query = { "script_score": { "query": {"match_all": {}}, "script": { "source": "cosineSimilarity(params.query_vector, doc['comment_vector']) + 1.0", "params": {"query_vector": query_vector} } } } response = client.search( index='revd', body={ "size": res_size, "query": script_query # "_source": {"includes": ["res_id", "res_name", "comment", "adress", "keywords"]} } ) # data_list = response['hits'] return response ################################## funcs to preprocess restaurant infomation ####################### ###### elastic search에서 받아온 json 정보를 html에서 보여줄 수 있도록 파싱 def jsonPaser(info): # res_info_key = info['hits']['hits'][0]['_source'].keys() res_list = {} number = 0 for i in range(len(info['hits']['hits'])): # 'res_id', 'res_name', 'adress', 'comment', 'keywords' number += 1 res_comments = [] res_number = number res_id = info['hits']['hits'][i]['_source']['res_id'] res_name = info['hits']['hits'][i]['_source']['res_name'] res_addr = info['hits']['hits'][i]['_source']['adress'] res_comment = info['hits']['hits'][i]['_source']['comment'] res_keywords = info['hits']['hits'][i]['_source']['keywords'] #식당 주소 전처리 ('\n' -> '<br>') res_addr = preprocessAddr(res_addr) # 리뷰 데이터가 1개만 있어서 type이 string일 때, type을 리스트로 만들어준다. # (만약, 같은 식당이 나오면 리스트들끼리 병합하기 위해) if type(res_comment) != type([]): res_comments.append(res_comment) else: res_comments = res_comment # res_id를 기준으로 같은 식당이 나오는지 검사 if res_list.get(res_id) == None: res_comments.sort(reverse=True) res_info = {'res_name':res_name, 'res_addr':res_addr, 'res_comment':res_comments, 'res_keywords':res_keywords, 'res_number': res_number, } res_list[res_id] = res_info else: comments = res_list[res_id]['res_comment'] + res_comments comments.sort(reverse=True) res_list[res_id]['res_comment'] = comments number -= 1 return res_list ###### 식당들을 6개씩 그룹핑 def groupingBoard(info): res_list = [] group = [] count = 0 for v in info.values(): if count == 0: group = [] group.append(v) count += 1 if count == 6: res_list.append(group) count = 0 return res_list def groupingPage(info): res_list = [] group = [] count = 0 for res_board in info: if count == 0: group = [] group.append(res_board) count += 1 if count == 2: res_list.append(group) count = 0 return res_list def preprocessAddr(addr): addr2 = re.sub('\n', '<br>   ', addr) return addr2

[ "kbh122369@gmail.com" ]

kbh122369@gmail.com

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/13-Intro-to-Trees-master/pitchscrape/reviews/settings.py

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[]

no_license

abendm/Pandas-Stuff

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# -*- coding: utf-8 -*- # Scrapy settings for reviews project # # For simplicity, this file contains only settings considered important or # commonly used. You can find more settings consulting the documentation: # # https://doc.scrapy.org/en/latest/topics/settings.html # https://doc.scrapy.org/en/latest/topics/downloader-middleware.html # https://doc.scrapy.org/en/latest/topics/spider-middleware.html BOT_NAME = 'reviews' SPIDER_MODULES = ['reviews.spiders'] NEWSPIDER_MODULE = 'reviews.spiders' # Crawl responsibly by identifying yourself (and your website) on the user-agent #USER_AGENT = 'reviews (+http://www.yourdomain.com)' # Obey robots.txt rules ROBOTSTXT_OBEY = True # Configure maximum concurrent requests performed by Scrapy (default: 16) #CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0) # See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay # See also autothrottle settings and docs #DOWNLOAD_DELAY = 3 # The download delay setting will honor only one of: #CONCURRENT_REQUESTS_PER_DOMAIN = 16 #CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default) #COOKIES_ENABLED = False # Disable Telnet Console (enabled by default) #TELNETCONSOLE_ENABLED = False # Override the default request headers: #DEFAULT_REQUEST_HEADERS = { # 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', # 'Accept-Language': 'en', #} # Enable or disable spider middlewares # See https://doc.scrapy.org/en/latest/topics/spider-middleware.html #SPIDER_MIDDLEWARES = { # 'reviews.middlewares.ReviewsSpiderMiddleware': 543, #} # Enable or disable downloader middlewares # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html #DOWNLOADER_MIDDLEWARES = { # 'reviews.middlewares.ReviewsDownloaderMiddleware': 543, #} # Enable or disable extensions # See https://doc.scrapy.org/en/latest/topics/extensions.html #EXTENSIONS = { # 'scrapy.extensions.telnet.TelnetConsole': None, #} # Configure item pipelines # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html #ITEM_PIPELINES = { # 'reviews.pipelines.ReviewsPipeline': 300, #} # Enable and configure the AutoThrottle extension (disabled by default) # See https://doc.scrapy.org/en/latest/topics/autothrottle.html #AUTOTHROTTLE_ENABLED = True # The initial download delay #AUTOTHROTTLE_START_DELAY = 5 # The maximum download delay to be set in case of high latencies #AUTOTHROTTLE_MAX_DELAY = 60 # The average number of requests Scrapy should be sending in parallel to # each remote server #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0 # Enable showing throttling stats for every response received: #AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default) # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings #HTTPCACHE_ENABLED = True #HTTPCACHE_EXPIRATION_SECS = 0 #HTTPCACHE_DIR = 'httpcache' #HTTPCACHE_IGNORE_HTTP_CODES = [] #HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

[ "abendm@gmail.com" ]

abendm@gmail.com

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/jogo/models/conta.py

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renatoaloi/desafio-jogo

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from sqlalchemy import Column, Integer, String, Float, ForeignKey from jogo.dao.database import Base class Conta(Base): __tablename__ = 'conta' id = Column(Integer, primary_key=True) jogo_id = Column(Integer, ForeignKey('jogo.id'), nullable=False) jogador_id = Column(Integer, ForeignKey('jogador.id'), nullable=True) saldo = Column(Float, nullable=False) def __init__(self, jogo_id, jogador_id, saldo): self.jogo_id = jogo_id self.jogador_id = jogador_id self.saldo = saldo def __repr__(self): return '<Conta %r>' % self.saldo

[ "renato.aloi@gmail.com" ]

renato.aloi@gmail.com

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/alibaba_scrawl/listen.py

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no_license

jorliang/pthion_basic_learning

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refs/heads/master

2022-12-12T18:29:13.250193

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import winsound import win32com.client import time import speech # speak_out = win32com.client.Dispatch('SAPI.SPVOICE') # speak_out = win32com.client.Dispatch('Word.Application') # def speak(str): # print(str) # speak_out.Speak(str) # winsound.PlaySound(str,winsound.SND_ASYNC) # # # ak='簡単' # time.sleep(1) # speak(ak) speech.say('でわ')

[ "liangjiao@imagingdynamics.com" ]

liangjiao@imagingdynamics.com

cd2694476723a2181a5d941f4cd30cf0eec0d1b6

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/WatershedFermeture/watershed/Watershed - femeture.py

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ASTAugustin/IMA_P1_Projet

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refs/heads/master

2020-07-30T09:11:55.913404

2019-11-05T10:08:38

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import numpy as np from collections import deque import cv2 # Implementation of: # Pierre Soille, Luc M. Vincent, "Determining watersheds in digital pictures via # flooding simulations", Proc. SPIE 1360, Visual Communications and Image Processing # '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24211; # http://dx.doi.org/10.1117/12.24211 class Watershed(object): MASK = -2 WSHD = 0 INIT = -1 INQE = -3 def __init__(self, levels=256): self.levels = levels # Neighbour (coordinates of) pixels, including the given pixel. def _get_neighbors(self, height, width, pixel): return np.mgrid[ max(0, pixel[0] - 1):min(height, pixel[0] + 2), max(0, pixel[1] - 1):min(width, pixel[1] + 2) ].reshape(2, -1).T '''使用示例： Ex.返回包括自己的邻居 >>> np.mgrid[0:3,0:3].reshape(2,-1).T array([[0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2]]) ''' def apply(self, image): current_label = 0 flag = False fifo = deque() # 堆栈 height, width = image.shape total = height * width labels = np.full((height, width), self.INIT, np.int32) ## self 表示 this #形成一个元素为-1的矩阵 reshaped_image = image.reshape(total) ## grey level of one degree # [y, x] pairs of pixel coordinates of the flattened image. pixels = np.mgrid[0:height, 0:width].reshape(2, -1).T # Coordinates of neighbour pixels for each pixel. neighbours = np.array([self._get_neighbors(height, width, p) for p in pixels]) ## Not Clear if len(neighbours.shape) == 3: # Case where all pixels have the same number of neighbours. neighbours = neighbours.reshape(height, width, -1, 2) else: # Case where pixels may have a different number of pixels. neighbours = neighbours.reshape(height, width) indices = np.argsort(reshaped_image) ## sort of index from small value to big value sorted_image = reshaped_image[indices] ## At hte beginning of this array locate the ligntest pixel sorted_pixels = pixels[indices] ## At hte beginning of this array locate the index of the ligntest pixel # self.levels evenly spaced steps from minimum to maximum. levels = np.linspace(sorted_image[0], sorted_image[-1], self.levels) ## return an array from the min to the max containing levels numbers. level_indices = [] current_level = 0 # Get the indices that deleimit pixels with different values. for i in range(total): if sorted_image[i] > levels[current_level]: ## higher than sea level # Skip levels until the next highest one is reached. while sorted_image[i] > levels[current_level]: current_level += 1 level_indices.append(i) ## a ladder array level_indices.append(total) start_index = 0 for stop_index in level_indices: # Mask all pixels at the current level. for p in sorted_pixels[start_index:stop_index]: labels[p[0], p[1]] = self.MASK # Initialize queue with neighbours of existing basins at the current level. for q in neighbours[p[0], p[1]]: # p == q is ignored here because labels[p] < WSHD if labels[q[0], q[1]] >= self.WSHD: labels[p[0], p[1]] = self.INQE fifo.append(p) break # Extend basins. while fifo: p = fifo.popleft() # Label p by inspecting neighbours. for q in neighbours[p[0], p[1]]: # Don't set lab_p in the outer loop because it may change. lab_p = labels[p[0], p[1]] lab_q = labels[q[0], q[1]] if lab_q > 0: if lab_p == self.INQE or (lab_p == self.WSHD and flag): labels[p[0], p[1]] = lab_q elif lab_p > 0 and lab_p != lab_q: labels[p[0], p[1]] = self.WSHD flag = False elif lab_q == self.WSHD: if lab_p == self.INQE: labels[p[0], p[1]] = self.WSHD flag = True elif lab_q == self.MASK: labels[q[0], q[1]] = self.INQE fifo.append(q) # Detect and process new minima at the current level. for p in sorted_pixels[start_index:stop_index]: # p is inside a new minimum. Create a new label. if labels[p[0], p[1]] == self.MASK: current_label += 1 fifo.append(p) labels[p[0], p[1]] = current_label while fifo: q = fifo.popleft() for r in neighbours[q[0], q[1]]: if labels[r[0], r[1]] == self.MASK: fifo.append(r) labels[r[0], r[1]] = current_label start_index = stop_index return labels if __name__ == "__main__": import numpy as np np.set_printoptions(threshold=np.inf) ##from Watershed import Watershed from PIL import Image import matplotlib.pyplot as plt import cv2 w = Watershed() image = np.array(cv2.imread('Ex1.PNG', 0)) print(image) kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (2, 2)) ## Here, (2,2) means the two diameters of the ellipse. binary = cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel) print(binary) plt.imshow(binary) plt.show() ##gray = cv2.cvtColor('Ex1.PNG', cv2.COLOR_RGB2GRAY) ##ret, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU) ##kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3)) ##binary = cv2.morphologyEx(binary, cv2.MORPH_CLOSE, kernel) ##print("xxxxxxxx") ##/labels = w.apply(binary) #label = w.apply(image) #print(labels) ##plt.imshow(labels, cmap='Paired', interpolation='nearest') ##/plt.imshow(labels) ##/plt.show()

[ "celestine_jinyi@163.com" ]

celestine_jinyi@163.com

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/LkCRM/LkCRM/wsgi.py

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no_license

kevinliu007/CRM

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refs/heads/master

2020-09-14T07:35:01.883726

2019-07-11T15:06:46

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""" WSGI config for LkCRM project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/2.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'LkCRM.settings') application = get_wsgi_application()

[ "caixiaobai@caixiaobai.com" ]

caixiaobai@caixiaobai.com

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/koica/templatetags/koica.py

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synw/django-koica

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refs/heads/master

2021-01-10T03:15:24.570691

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from django import template from koica.utils import sanitize_html register = template.Library() @register.filter(is_safe=True) def remove_pre(value): return sanitize_html(value, remove_pre=True)

[ "synwe@yahoo.fr" ]

synwe@yahoo.fr

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/tokens/models.py

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CallistoNetwork/Galileo-Backend

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2020-04-03T02:29:00.910607

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from django.db import models from explorer.models import TimeStampModel class Token(TimeStampModel): """ * name -> Name of token | String | optional * symbol -> Trading symbol | String | optional * total_supply -> The total supply if the token | Decimal | optional * decimals -> Number of decimal place the token can be subdivided to | Int | optional * type -> type of Token | String | required * cataloged -> if token information has been cataloged | Boolean | optional * contract_address_hash -> Foreign key to address | ForeignKey | required """ name = models.CharField( max_length=255, blank=True ) symbol = models.CharField( max_length=50, blank=True ) total_supply = models.DecimalField( null=True, max_digits=120, decimal_places=0 ) decimals = models.PositiveIntegerField( null=True ) token_type = models.CharField( max_length=100, ) cataloged = models.BooleanField( null=True ) contract_address_hash = models.ForeignKey( 'address.Address', on_delete=models.PROTECT ) class TokenTransfer(TimeStampModel): """ * amount -> token transfer amount | Decimal | Optional * from_address_hash -> Address send token | Foreign Key | Required * to_address_hash -> Address received token | Foreign Key | Required * token_contract_address_hash -> Address of the token contract | Forreign Key | Required * token_id -> Id of the token, only ERC-721 tokens | Optional * transaction_hash -> Transaction token | Foreign Key | Required * log_index -> Index of the corresponding Log in the transaction | Positive Int | Required """ amount = models.DecimalField( null=True, max_digits=120, decimal_places=0 ) from_address_hash = models.ForeignKey( 'address.Address', on_delete=models.PROTECT, related_name='token_transfer_from_address' ) to_address_hash = models.ForeignKey( 'address.Address', on_delete=models.PROTECT, related_name='token_transfer_to_address' ) token_contract_address_hash = models.ForeignKey( 'address.Address', on_delete=models.PROTECT, related_name='token_contract_address' ) token_id = models.PositiveIntegerField( null=True ) transaction_hash = models.ForeignKey( 'transactions.Transaction', on_delete=models.PROTECT ) log_index = models.PositiveIntegerField()

[ "gollum23@gmail.com" ]

gollum23@gmail.com

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/krrThomas/searchStat/plot_structs_near_best.py

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[]

no_license

MaltheBisbo/learningForces

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refs/heads/master

2021-01-23T22:31:02.654738

2018-12-25T21:48:54

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import numpy as np from scipy.spatial.distance import euclidean from scipy.spatial.distance import cdist import matplotlib.pyplot as plt from ase.io import read, write from ase.visualize import view from gaussComparator import gaussComparator from featureCalculators_multi.angular_fingerprintFeature_cy import Angular_Fingerprint from delta_functions_multi.delta import delta as deltaFunc from krr_errorForce import krr_class def plot_near_best(traj, MLmodel): Ndata = len(traj) # Sort traj after energy E = np.array([a.get_potential_energy() for a in traj]) index_best = np.argmin(E) a_best = traj[index_best] f_traj = MLmodel.featureCalculator.get_featureMat(traj) f_best = MLmodel.featureCalculator.get_feature(a_best) d = cdist(f_best.reshape((1,len(f_best))), f_traj, metric='euclidean') index_closest = np.argsort(d[0])[:5] print('d:\n', d[0][index_closest]) print('E:\n', E[index_closest]) traj_nearby = [traj[i] for i in index_closest] return traj_nearby if __name__ == '__main__': n = 2 i = 0 traj_init = read('/home/mkb/DFT/gpLEA/anatase/step/sanity_check/test_new_calc/runs{}/run{}/global{}_initTrain.traj'.format(n,i,i), index=':') traj_sp = read('/home/mkb/DFT/gpLEA/anatase/step/sanity_check/test_new_calc/runs{}/run{}/global{}_spTrain.traj'.format(n,i,i), index=':') traj = traj_init + traj_sp #ref = read('/home/mkb/DFTB/TiO_2layer/ref/Ti13O26_GM_done.traj', index='0') ### Set up feature ### # Template structure a = traj[0] # Radial part Rc1 = 6 binwidth1 = 0.2 sigma1 = 0.2 # Angular part Rc2 = 4 Nbins2 = 30 sigma2 = 0.2 gamma = 2 # Radial/angular weighting eta = 20 use_angular = True # Initialize feature featureCalculator = Angular_Fingerprint(a, Rc1=Rc1, Rc2=Rc2, binwidth1=binwidth1, Nbins2=Nbins2, sigma1=sigma1, sigma2=sigma2, gamma=gamma, eta=eta, use_angular=use_angular) ### Set up KRR-model ### comparator = gaussComparator(featureCalculator=featureCalculator, max_looks_like_dist=0.2) delta_function = deltaFunc(atoms=a, rcut=6) krr = krr_class(comparator=comparator, featureCalculator=featureCalculator, delta_function=delta_function, bias_std_add=0) traj_nearby = plot_near_best(traj, krr) view(traj_nearby)

[ "mkb@s81n11.grendel.cscaa.dk" ]

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grow/grow-ext-responsive-styles

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349

py

from setuptools import setup setup( name='grow-ext-responsive-styles', version='1.0.0', zip_safe=False, license='MIT', author='Grow Authors', author_email='hello@grow.io', include_package_data=True, packages=[ 'responsive_styles', ], package_data={ 'responsive_styles': ['*.html'], }, )

[ "jeremydw@gmail.com" ]

jeremydw@gmail.com

f0350d9b871c404aac008aac028f9754e35939df

cdf14be1c33ad4dad24dfc4823443caf629e8787

/reversi.py

fc9053bf0d31a6c6d2fd296fabaac28f20d53bb8

[]

no_license

fhalambek/reversi

541f63048d57e44bdf6510ca65184c889f3fcea4

47dad459b8bcd8fec62614865196a11a7e2d7e00

refs/heads/master

2021-09-07T15:06:00.695585

2018-02-24T15:49:01

114,654,912

0

1

null

UTF-8

Python

false

35,116

py

from tkinter import * from time import sleep from threading import Thread from bot import easy, greedy, weighted from os import replace, name from _tkinter import TclError pilImported = False try: from PIL import Image, ImageTk pilImported = True except ImportError: try: try: import pip except ImportError: print("pip and Pillow libraries are not installed. Install one of them to view transitions.\n" + "Linux: sudo apt-get install python3-pip\n pip install Pillow\n" + "Windows: pip is installed, find it among installation files, e.g.: Python/Python36-32/Scripts/") raise ImportError def install(package): pip.main(['install', package]) install("Pillow") from PIL import Image, ImageTk pilImported = True except PermissionError: print("PIL not installed. Try running as administrator to view transitions.") pilImported = False except ImportError: print() pilImported = False MARGIN_X = 10 MARGIN_Y = 10 WINDOW_DIMS = "1000x500" WINDOW_BG = ["#00BB00", "#44FF44"] CELL_BG = "#228822" CELL_BG_HIGHLIGHT = "#44CC44" CELL_SIZE = 56 DIRECTIONS = [((i//3)-1, (i%3)-1) for i in range(9)] PLAYERS = [None, "black", "white"] BOTS = [easy, greedy, weighted] LANGUAGES = ("hrvatski", "English") OPTION_BUTTON_WIDTH = 250 OPTION_BUTTON_HEIGHT = 50 blockInOut = (False, False) #program input i output co = False #cells input ci = False #cells output botSpeed = .5 animationSpeed = .01 animationsEnabled = True stopBot = True pause = False class Game(Frame): #glavni frame unutar kojega se sve nalazi. self.master je Tk() def __init__(self): Frame.__init__(self) global IMAGES, backImage, DISKS IMAGES = (PhotoImage(), PhotoImage(file = "res/drawables/disks/black74.png"), PhotoImage(file = "res/drawables/disks/white74.png")) DISKS = [] for i in range(9): DISKS.append([PhotoImage(file = "res/drawables/disks/black" + str(j) + str(i) + ".png") for j in range(7)]) DISKS.append([PhotoImage(file = "res/drawables/disks/white" + str(i) + "4.png") for i in range(7)]) backImage = PhotoImage(file = "res/drawables/back.png") self.master.title("Reversi") self.master.resizable(False, False) self.master.geometry(WINDOW_DIMS) SettingsView.loadSettings() Game.loadStrings() self.halves = [None, ImageView(self, position = 1, color = WINDOW_BG[0], hierarchy = (0, 0)), MenuView(master = self, position = 2, color = WINDOW_BG[1], hierarchy = (1, 0)), None] self.pack(expand = YES, fill = BOTH) self.master.protocol("WM_DELETE_WINDOW", lambda: closeWindow(self.master)) def switch(self, target, reverse, position): #poziva se kada trebaju mijenjati polovice ekrana global stopBot, pause pause = False stopBot = True cBlock() if(blockInOut[0] or blockInOut[1]): return block(o = False) self.halves[3 - reverse * 3] = HIERARCHY[target[0]][target[1]][0](master = self, position = 3 - reverse * 3, color = WINDOW_BG[target[0]%2], hierarchy = target) runnables = [self.frameSwapAnimationRight, self.frameSwapAnimation] runnables[position + reverse > 1](reverse) def frameSwapAnimation(self, reverse): #ako se mijenjaju obije polovice def postProcessing(self, reverse): flag = None for i, j in enumerate(self.halves): if(j): again = j.replace(i + (reverse*2 - 1)) if(again[0]): flag = again[1] del self.halves[self.halves.index(None)] self.halves[-reverse].destroy() self.halves[-reverse] = None self.halves.insert(3 - 3*reverse, None) block(0, 0) if(flag and reverse): self.switch(HIERARCHY[HIERARCHY[flag[0]][flag[1]][2][0]][HIERARCHY[flag[0]][flag[1]][2][1]][2], reverse, 2) elif(flag): self.switch((flag[0] + 1, flag[1]), 0, 2) if(pilImported): transition = TransitionImage(master = self, position = 2 - reverse, transparent = False, hierarchy = self.halves[3*(1-reverse)].myHierarchy) self.after(10, self.halves[2-reverse].move, 0, transition, postProcessing, self, reverse) else: postProcessing(self, reverse) def frameSwapAnimationRight(self, reverse): #ako se mijenja desna polovica def postProcessing(self, reverse): again = self.halves[3].replace(2) print(again) self.halves[2].destroy() del self.halves[2] self.halves.append(None) block(0, 0) if(again[0]): self.switch((again[1][0] + 1, again[1][1]), 0, 2) if(pilImported): transition = TransitionImage(master = self, position = 2, transparent = True, hierarchy = self.halves[3].myHierarchy, hierarchy2 = self.halves[2].myHierarchy) self.after(10, transition.setAlpha, 0, postProcessing, self, reverse) else: postProcessing(self, reverse) def loadStrings(): if(language == "eng"): Game.initializeStrings() return file = open("res/strings/" + language + ".txt", "r", encoding = "cp1250") lines = file.readlines() global stringsDict for line in lines: key, value = tuple(line.split(":")) #maknuti ovaj repr ako nam ne treba stringsDict[key] = value[:-1].upper() file.close() def initializeStrings(): global stringsDict, selectBotText, mainMenuButtonText, modeMenuButtonText, botMenuButtonText stringsDict = {"Stats":"STATS", "Wins by player":"WINS BY PLAYER", "Wins by color":"WINS BY COLOR", "Disks":"DISKS", "Main Menu":"MAIN MENU", "Play":"PLAY", "Mode":"MODE", "Rules":"RULES", "Settings":"SETTINGS", "About":"ABOUT", "Bot VS Bot":"BOT VS BOT", "Human VS Bot":"HUMAN VS BOT", "Human VS Human":"HUMAN VS HUMAN", "Easy":"EASY", "Medium":"MEDIUM", "Hard":"HARD", "Select bot 1":"SELECT BOT 1", "Select bot 2":"SELECT BOT 2", "Language":"LANGUAGE", "Bot speed":"BOT SPEED", "Animations":"ANIMATIONS", "On":"ON", "Off":"OFF", "Pause":"PAUSE", "Resume":"RESUME"} selectBotText = ("Select bot 1", "Select bot 2") mainMenuButtonText = ("Play", "Rules", "Settings", "About") modeMenuButtonText = ("Bot VS Bot", "Human VS Bot", "Human VS Human") botMenuButtonText = ("Easy", "Medium", "Hard") class TransitionImage(Label): #overlay sa screenshotom za fade in efekat def __init__(self, master, position, transparent, hierarchy, hierarchy2 = None): Label.__init__(self, master, image = IMAGES[0], width = 500, height = 500, bd = 0, highlightthickness = 0, bg = WINDOW_BG[hierarchy[0]%2]) self.transparent = transparent if(transparent): self.lastImage = Image.open("res/drawables/ss/pic"+str(hierarchy2[0])+str(hierarchy2[1])+".png") self.rawImage = Image.open("res/drawables/ss/pic"+str(hierarchy[0])+str(hierarchy[1])+".png") self.sourceImage = self.rawImage.copy() self.rawImage.close() self.place(x = 500*(position - 1), y = 0) def setAlpha(self, frameNumber, postProcess, master, reverse): if(frameNumber > 50): self.destroy() postProcess(master, reverse) return if(self.transparent): self.frameImage = ImageTk.PhotoImage(Image.blend(self.lastImage, self.sourceImage, frameNumber*1/50)) else: self.sourceImage.putalpha(frameNumber * 5) self.frameImage = ImageTk.PhotoImage(self.sourceImage) self.config(image = self.frameImage) master.after(10, self.setAlpha, frameNumber + 1, postProcess, master, reverse) class Half(Frame): #ono sto je zajednicko svim tim frameovima/polovicama prozora def __init__(self, master, position, color, hierarchy): Frame.__init__(self, master, bg = color, padx = MARGIN_X, pady = MARGIN_Y) self.place(x = (position-1) * 500, y = 0, width = 500, height = 500) self.myHierarchy = hierarchy self.myColor = color self.myPosition = position def replace(self, newPosition): self.place(x = (newPosition - 1) * 500) self.myPosition = newPosition return (0,) def move(self, frameNumber, t, pp, master, reverse): if(frameNumber > 50): t.setAlpha(0, pp, master, reverse) return self.place(x = 500*(1 - reverse) + (2*reverse - 1)*frameNumber*10, y = 0) self.lift(t) master.after(10, self.move, frameNumber + 1, t, pp, master, reverse) class ImageView(Half): #na pocetnom zaslonu s lijeve strane.. tu bi mogla doci neka zgodna slika def __init__(self, master, position, color, hierarchy): Half.__init__(self, master, position, color, hierarchy) self.picture = PhotoImage(file = "front.png") self.label = Label(self, image = self.picture) self.label.place(x = 0, y = 0, width = 480, height = 480) class TextView(Half): #pravila i o igri def __init__(self, master, position, color, hierarchy): Half.__init__(self, master, position, color, hierarchy) self.actionBar = ActionBar(self, HIERARCHY[hierarchy[0]][hierarchy[1]][2], color) file = open("res/strings/"+HIERARCHY[hierarchy[0]][hierarchy[1]][1] + "_" + language + ".txt", "r", encoding = "cp1250") text = "" for line in file.readlines(): text += line self.textMsg = Message(self, text = text, bg = color, justify = CENTER, anchor = CENTER) self.textMsg.pack() file.close() class SettingsView(Half): #onaj frame s postavkama def __init__(self, master, position, color, hierarchy): Half.__init__(self, master, position, color, hierarchy) self.actionBar = ActionBar(self, HIERARCHY[hierarchy[0]][hierarchy[1]][2], color) self.languageLabel = Label(self, text = stringsDict["Language"], bg = color, highlightthickness = 0) self.languageLabel.pack(pady = (50, 0)) var = StringVar() var.set(language) self.languageOM = OptionMenu(self, var, *LANGUAGES, command = self.omCommand) self.languageOM.config(bg = color, highlightthickness = 0, width = 15) self.languageOM.pack() self.botSpeedLabel = Label(self, text = stringsDict["Bot speed"], bg = color, highlightthickness = 0) self.botSpeedLabel.pack(pady = (20, 0)) self.botSpeedScale = Scale(self, from_ = 1, to = 100, orient = HORIZONTAL, command = SettingsView.sCommand, length = OPTION_BUTTON_WIDTH, bg = color, troughcolor = WINDOW_BG[1], highlightthickness = 0, cursor = "hand2") self.botSpeedScale.set((1-botSpeed)*100) self.botSpeedScale.pack() self.animationsLabel = Label(self, text = stringsDict["Animations"], bg = color, highlightthickness = 0) self.animationsLabel.pack(pady = (20, 0)) v = IntVar() v.set(animationsEnabled) self.rb = [] for i, j in enumerate(("Off", "On")): self.rb.append(Radiobutton(self, text = stringsDict[j], variable = v, value = i, command = lambda: SettingsView.rbCommand(v.get()), indicatoron = 0, bg = color, width = 20, selectcolor = WINDOW_BG[1])) self.rb[i].pack() def rbCommand(var): #kad se stisne na radiobutton global animationsEnabled animationsEnabled = var SettingsView.saveSettings() def sCommand(var): #kad se pomakne onaj slider global botSpeed botSpeed = 1-(int(var)/100) SettingsView.saveSettings() def refreshLanguage(self): self.actionBar.refreshLanguage() for i, j in zip(("Language", "Bot speed", "Animations", "Off", "On"), (self.languageLabel, self.botSpeedLabel, self.animationsLabel, self.rb[0], self.rb[1])): j.config(text = stringsDict[i]) def omCommand(self, var): #kad se u optionMenuu promijeni jezik global language language = var[:3].lower() Game.loadStrings() for i in self.master.halves: if i: i.refreshLanguage() SettingsView.saveSettings() def loadSettings(): file = open("Preferences/Settings.txt", "r") global language, botSpeed, animationsEnabled for i in file.readlines(): key, value = tuple(i.split(":")) if(key == "language"): language = value[:-1] elif(key == "botSpeed"): botSpeed = float(value[:-1]) elif(key == "animations"): animationsEnabled = ("On" in value) file.close() return def saveSettings(): option = "Off\n" if(animationsEnabled): option = "On\n" text = "language:" + language + "\nbotSpeed:" + str(botSpeed) + "\nanimations:" + option file = open("Preferences/SettingsTemp.txt","w") file.write(text) file.close() replace("Preferences/SettingsTemp.txt", "Preferences/Settings.txt") return class MenuView(Half): #oni frameovi s nekoliko gumba za odabir def __init__(self, master, position, color, hierarchy): Half.__init__(self, master, position, color, hierarchy) self.actionBar = ActionBar(self, HIERARCHY[hierarchy[0]][hierarchy[1]][2], color) self.optionButtons = [] for i in range(len(HIERARCHY[hierarchy[0]][hierarchy[1]][-1])): self.optionButtons.append(Button(self, text = stringsDict[HIERARCHY[hierarchy[0]][hierarchy[1]][-1][i]], highlightthickness = 0, font = ("Verdana", 14))) self.optionButtons[i].targetFrame = HIERARCHY[hierarchy[0]][hierarchy[1]][3][i] self.optionButtons[i].bind("<Button-1>", self.buttonClick) self.optionButtons[i].place(x = (500 - 2*MARGIN_X) // 2, y = int((i+1)*(500 - 2*MARGIN_Y)/(len(HIERARCHY[hierarchy[0]][hierarchy[1]][-1])+1)), width = OPTION_BUTTON_WIDTH, height = OPTION_BUTTON_HEIGHT, anchor = CENTER) def replace(self, newPosition): super(MenuView, self).replace(newPosition) self.actionBar.enableButton(not(newPosition - 1), 0) return (0,) def buttonClick(self, event): if(blockInOut[0] or blockInOut[1]): return if(self.myHierarchy[0] < 3): PM.bots = [None, 8, 8] for i, j in enumerate(botMenuButtonText): if(event.widget.cget("text") == stringsDict[j]): PM.bots[-1] = 8 PM.bots[selectBotText.index(HIERARCHY[self.myHierarchy[0]][self.myHierarchy[1]][1]) + 1] = i self.master.switch(event.widget.targetFrame, 0, self.myPosition) def refreshLanguage(self): self.actionBar.refreshLanguage() for i in range(len(self.optionButtons)): self.optionButtons[i].config(text = stringsDict[HIERARCHY[self.myHierarchy[0]][self.myHierarchy[1]][-1][i]]) class GameView(Half): #prikazuje plocu stats = None def __init__(self, master, position, color, hierarchy): Half.__init__(self, master, position, color, hierarchy) global table, winCount table = [] winCount = [[0, 0, 0], [0, 0, 0]] for i in range(8): table.append([]) for j in range(8): table[i].append(Cell(self, (i, j), 0)) def replace(self, newPosition): super(GameView, self).replace(newPosition) if(newPosition == 2): global stopBot resetBoard() stopBot = False PM.startGame() return (0,) def setStats(stats): GameView.stats = stats class StatsView(Half): #ono s lijeve strane ploce sto prikazuje info o igri def __init__(self, master, position, color, hierarchy): Half.__init__(self, master, position, color, hierarchy) self.actionBar = ActionBar(self, HIERARCHY[hierarchy[0]][hierarchy[1]][2], color) self.turnFrame = Frame(self, bg = color) self.labels = [None, TurnLabel(self.turnFrame, 1), TurnLabel(self.turnFrame, -1)] self.turnFrame.pack(side = TOP, expand = YES, fill = X) self.charts = [ChartFrame(self, i, color) for i in (0, 1, 2)] self.pauseButton = Button(self, text = stringsDict["Pause"].upper(), command = self.pause, highlightthickness = 0, height = 1, width = 10, font = ("Verdana", 15)) self.pauseButton.place(x = 240, y = 120, anchor = CENTER) GameView.setStats(self) def pause(self): global pause pause = not(pause) text = ("Pause", "Resume") self.pauseButton.config(text = stringsDict[text[pause]]) def upDate(self): if(blockInOut[1]): return try: for i in (1, -1): self.labels[i].upDate() for i in self.charts: i.upDate() except(TclError, RuntimeError): return def replace(self, newPosition): #sto se dogodi kad mijenja poziciju na ekranu super(StatsView, self).replace(newPosition) self.actionBar.enableButton(not(newPosition - 1), 0) return (newPosition == 2, self.myHierarchy) Game.initializeStrings() HIERARCHY = (((ImageView, "", (0, 0), (1, 0)),), ((MenuView, "Main Menu", (0, 0), ((2, 0), (2, 1), (2, 2), (2, 3)), mainMenuButtonText),), ((MenuView, "Mode", (1, 0), ((3, 0), (3, 1), (3, 2)), modeMenuButtonText), (TextView, "Rules", (1, 0)), (SettingsView, "Settings", (1, 0)), (TextView, "About", (1, 0))), ((MenuView, "Select bot 1", (2, 0), ((4, 0),)*4, botMenuButtonText), (MenuView, "Select bot 1", (2, 0), ((4, 1),)*4, botMenuButtonText), (StatsView, "Stats", (2, 0), (4, 2))), ((MenuView, "Select bot 2", (3, 0), ((5, 0),)*4, botMenuButtonText), (StatsView, "Stats", (3, 1), (5, 1)), (GameView, "Human VS Human", (3, 2))), ((StatsView, "Stats", (4, 0), (6, 0)), (GameView, "Human VS Bot", (4, 1))), ((GameView, "Bot VS Bot", (5, 0)),))#struktura programa (klasa, naslov, kamoNazad[, kamoNaprijed, stringoviZaGumbePremaNaprijed]) class PM(object): #brine o tijeku igre, koji su botovi, tko je na redu itd. player = 1 bots = [None, 8, 8] bot = 8 seatChanged = 1 def switchPlayer(newPlayer): PM.player = newPlayer PM.bot = PM.bots[newPlayer*PM.seatChanged] def startGame(): if(PM.bots != [None, 8, 8]): myThread = Thread(target = PM.runnable) myThread.start() def runnable(): while(not(blockInOut[1] or stopBot)): if(botSpeed or animationsEnabled): sleep(botSpeed + animationsEnabled/200) if(blockInOut[0] or ci or pause): continue if(PM.bot != 8 and not(blockInOut[1]) and len(Cell.availableCoordinates[PM.player])): #kompleksnost len je O(1), pa se mogu razbacivati ovako njome x, y = BOTS[PM.bot](table, Cell.availableCoordinates[PM.player], PM.player, -PM.player) cellPress(x, y) def changeSeats(): PM.seatChanged *= -1 class Cell(Button): availableCoordinates = [[],[],[]] def __init__(self, master, coordinates, fill): Button.__init__(self, master = master, image = IMAGES[fill], width = CELL_SIZE, height = CELL_SIZE, bg = CELL_BG, bd = 1, highlightthickness = name == "nt") self.bind("<Button>", cellPress) self.coordinates = coordinates self.reset() self.grid(row = coordinates[0], column = coordinates[1]) def switch(self, fill): #mijenja boju polja self.fill = fill try: self.config(image = IMAGES[fill]) except(TclError, RuntimeError): return def reset(self): self.availableCoordinates = [[],[],[]] #ovo mozda i ne treba, dosta memorije uzima - tu je za svaki slucaj self.lenAC = [[0] * 9, [0] * 9, [0] * 9] if(self.coordinates == (3, 3) or self.coordinates == (4, 4)): self.switch(-1) elif(self.coordinates == (3, 4) or self.coordinates == (4, 3)): self.switch(1) else: self.switch(0) def p(x, y): #pazi na rub ploce if (x >= 0 and y >= 0 and x < 8 and y < 8): return True return False def block(i = True, o = True): #blokira sav IO programa global blockInOut blockInOut = (i, o) def cBlock(i = True, o = True): #blokira klikanje i bojanje celija global ci, co ci = i co = o def closeWindow(window): #poziva se kad netko stisne X gumb gore desno, gasi program cBlock() block() for i in range(25): window.attributes("-alpha", 1-i/25) sleep(.03) window.destroy() def getAvailableCoordinates(): #totalno neoptimizirana funkcija, ali zanemarivo - slobodno optimiziraj ako ti se da xD Cell.availableCoordinates = [[],[],[]] #resetiraj matricu u kojoj su spremljena ona highlightana polja for i in range(8): for j in range(8): #za svako polje u tablici table[i][j].availableCoordinates = [[],[],[]] #resetiraj polja koja pritisak na to polje mijenja table[i][j].lenAC = [[0] * 9, [0] * 9, [0] * 9] #resetiraj duljine po smjerovima if(table[i][j].fill == 0): #ako je polje prazno for r, s in DIRECTIONS: #za svaki smjer if p(i + r, j + s) and table[i + r][j + s].fill: #ako nije preko ruba to polje i nije prazno for k in (-1, 1): #za obije boje temp = len(table[i][j].availableCoordinates[k]) #duljina trenutne liste s poljima koja ce se obojati pritiskom na trenutno polje table[i][j].availableCoordinates[k] += getCellsToColor((r, s), (i, j), k) #ubaci u tu listu polja koja ce se obojati za ovo polje, ovaj smjer i ovu boju table[i][j].lenAC[k][DIRECTIONS.index((r, s))] = len(table[i][j].availableCoordinates[k]) - temp #broj polja u ovom smjeru if(len(table[i][j].availableCoordinates[k]) > 0 and not((i, j) in Cell.availableCoordinates[k])): #ako postoji nesto sto ce se obojati pritiskom na ovo polje Cell.availableCoordinates[k].append((i, j)) #dodaj polje u listu polja za highlightanje def markAvailableCoordinates(mark = True): #oznacava polja na koja se moze stati if mark: #mark znaci oznacujemo li nove ili oDznacujemo stare bgd = CELL_BG_HIGHLIGHT else: bgd = CELL_BG if(botSpeed < 0.125 and PM.bot != 8): return try: for i in Cell.availableCoordinates[PM.player]: table[i[0]][i[1]].config(bg = bgd) if not(mark): for i in Cell.availableCoordinates[-PM.player]: table[i[0]][i[1]].config(bg = bgd) except(TclError, RuntimeError): return def resetBoard(): #prije pocetka svake partije resetira/postavlja plocu def createDisksAnimation(): cBlock(o = False) try: createDisks(((3, 3, -1), (4, 4, -1), (3, 4, 1), (4, 3, 1))) getAvailableCoordinates() markAvailableCoordinates() GameView.stats.upDate() except(TclError, RuntimeError): return cBlock(False, False) PM.changeSeats() PM.switchPlayer(1) for i in range(8): for j in range(8): table[i][j].reset() if(animationsEnabled and name != "posix"): cdaThread = Thread(target = createDisksAnimation) cdaThread.start() else: createDisksAnimation() def getScore(): #ovo broji diskove na ploci l = [0, 0, 0] for i in range(8): for j in range(8): l[table[i][j].fill] += 1 return l def getFrame(fn, p, d): #ovo se koristi u cellAnimation - daje sliku za neki frame u animaciji if(fn == 7): return IMAGES[p] else: if(d == 4 and (p == -1 or p == 2)): return DISKS[-1][fn] return DISKS[(d-4)*p+4][(fn-3)*p+3] def gameOver(): #kad je jedna partija gotova, ovo biljezi tko je pobjedio i poziva funkciju za resetirati plocu global winCount score = getScore() if(score[-1] > score[1]): winColor = -1 elif(score[1] > score[-1]): winColor = 1 else: winColor = 0 winCount[0][winColor] += 1 winCount[1][winColor * PM.seatChanged] += 1 resetBoard() def cellPress(event, y = 8): #kad se klikne na neko polje if(y == 8): coordinates = event.widget.coordinates else: coordinates = event, y if(coordinates in Cell.availableCoordinates[PM.player] and not(blockInOut[0] or blockInOut[1] or (y == 8 and PM.bot != 8) or ci or co or pause)): cBlock(o = False) markAvailableCoordinates(False) if(animationsEnabled): cellAnimationThread = Thread(target = cellAnimation, args = (coordinates, table[coordinates[0]][coordinates[1]].availableCoordinates[PM.player], table[coordinates[0]][coordinates[1]].lenAC[PM.player])) cellAnimationThread.start() else: table[coordinates[0]][coordinates[1]].switch(PM.player) for i in range(max(table[coordinates[0]][coordinates[1]].lenAC[PM.player])): for j in range(9): if(i < table[coordinates[0]][coordinates[1]].lenAC[PM.player][j] and not(blockInOut[1] or co)): temp = [coordinates[k] + DIRECTIONS[j][k]*(i+1) for k in (0, 1)] table[temp[0]][temp[1]].switch(PM.player) PM.switchPlayer(-PM.player) getAvailableCoordinates() markAvailableCoordinates() GameView.stats.upDate() if(not(len(Cell.availableCoordinates[PM.player]) or len(Cell.availableCoordinates[-PM.player]))): gameOver() return elif(not(len(Cell.availableCoordinates[PM.player]))): PM.switchPlayer(-PM.player) markAvailableCoordinates() cBlock(False, False) def createDisks(diskInfo): #postavlja novi disk na plocu if(animationsEnabled): for i in range(len(DISKS[0])): for j in diskInfo: if(not(blockInOut[1] or co)): table[j[0]][j[1]].config(image = getFrame(fn = i, p = j[2], d = 4)) sleep(.03) if(blockInOut[1] or co): return for i in diskInfo: table[i[0]][i[1]].switch(i[2]) def cellAnimation(coordinates, cellsToColor, directionLengths): #animacija zamjene diskova createDisks(((coordinates[0], coordinates[1], PM.player),)) for i in range(max(directionLengths)): for frameNumber in range(len(DISKS[0])+1): for j in range(9): if(i < directionLengths[j] and not(blockInOut[1] or co)): temp = [coordinates[k] + DIRECTIONS[j][k]*(i+1) for k in (0, 1)] try: table[temp[0]][temp[1]].config(image = getFrame(fn = frameNumber, p = PM.player, d = j)) except(TclError, RuntimeError): return if(frameNumber == 7): table[temp[0]][temp[1]].fill = PM.player sleep(animationSpeed) PM.switchPlayer(-PM.player) getAvailableCoordinates() markAvailableCoordinates() GameView.stats.upDate() if(not(len(Cell.availableCoordinates[PM.player]) or len(Cell.availableCoordinates[-PM.player]))): gameOver() return elif(not(len(Cell.availableCoordinates[PM.player]))): PM.switchPlayer(-PM.player) markAvailableCoordinates() cBlock(False, False) def getCellsToColor(direction, coordinates, fill): #vraca listu polja koja ce se obojati pritiskom na odredeno polje if(direction == (0, 0)): return 0 cR, cC = coordinates[0] + direction[0], coordinates[1] + direction[1] c = [] while (p(cR, cC) and table[cR][cC].fill == fill * -1): c.append((cR, cC,)) cR += direction[0] cC += direction[1] if(p(cR, cC) and table[cR][cC].fill): return c return [] class ActionBar(Frame): #onaj dio na vrhu MenuViewa i StatsViewa gdje pise naslov i gdje je gumb za nazad def __init__(self, master, targetFrame, color): Frame.__init__(self, master) self.config(bg = color) self.backButton = Label(self, bg = color, image = backImage, highlightthickness = 0, relief = FLAT, bd = 0) self.backButton.bind("<Button-1>", lambda f: self.master.master.switch(targetFrame, 1, self.master.myPosition)) self.nameLabel = Label(self, text = stringsDict[HIERARCHY[self.master.myHierarchy[0]][self.master.myHierarchy[1]][1]], bg = color) self.nameLabel.pack(side = TOP, expand = NO, fill = Y) self.place(x = 0, y = 0, width = 480, height = 480) self.myColor = color self.backEnabled = False if(pilImported): self.rawImage = Image.open("res/drawables/back" + str(WINDOW_BG.index(color)) + ".png") self.sourceImage = self.rawImage.copy() self.rawImage.close() def enableButton(self, enabled, frameNumber): if(pilImported and (enabled != self.backEnabled)): if(frameNumber > 25): self.backEnabled = enabled if(not(enabled)): self.backButton.place_forget() return self.sourceImage.putalpha((25*(1-enabled) + (2*enabled-1)*frameNumber)*10) self.im = ImageTk.PhotoImage(self.sourceImage) self.backButton.config(image = self.im) if(frameNumber == 0): self.backButton.place(x = 0, y = 0, height = 48, width = 48) self.after(10, self.enableButton, enabled, frameNumber+1) else: if(enabled): self.backButton.place(x = 0, y = 0) else: self.backButton.place_forget() def refreshLanguage(self): self.nameLabel.config(text = stringsDict[HIERARCHY[self.master.myHierarchy[0]][self.master.myHierarchy[1]][1]]) class TurnLabel(Label): #oni kvadrati crni i bijeli koji oznacuju tko je na redu def __init__(self, master, color): Label.__init__(self, master, bg = PLAYERS[color], image = IMAGES[0], width = 50, height = 50, highlightcolor = PLAYERS[color], highlightbackground = PLAYERS[color]) if (color > 0): self.pack(side = LEFT) else: self.pack(side = RIGHT) self.myColor = color def upDate(self): if(co or blockInOut[1]): return if(self.myColor == PM.player): self.config(highlightthickness = 5) self.pack(padx = 5, pady = 5) else: self.config(highlightthickness = 0) self.pack(padx = 10, pady = 10) class ChartFrame(Frame): #dio StatsViewa gdje su chartovi chartNames = ["Disks", "Wins by color", "Wins by player"] def __init__(self, master, order, color): Frame.__init__(self, master, bg = color) self.chartName = Label(self, text = stringsDict[ChartFrame.chartNames[order]], bg = color, highlightthickness = 0) self.chart = Frame(self, height = 50, bg = "white") self.blackLabel = Label(self.chart, bg = "black", bd = 0, highlightthickness = 0, height = 50, width = 0, image = IMAGES[0]) self.blackLabel.pack(side = LEFT, fill = Y) self.chartName.pack(side = TOP, fill = X, anchor = W) self.chart.pack(side = TOP, fill = X) self.pack(side = TOP, fill = X) self.order = order def upDate(self): if (not(self.order)): score = getScore() else: score = winCount[self.order - 1] try: self.blackLabel.config(width = int((500 - 2*MARGIN_X)*score[1]/(score[-1]+score[1])), bg = "black") except(ZeroDivisionError): self.blackLabel.config(width = 0, bg = "white") Game().mainloop() ''' print() print(table[event.widget.grid_info()["row"]][event.widget.grid_info()["column"]].availableCoordinates[player]) print(table[event.widget.grid_info()["row"]][event.widget.grid_info()["column"]].lenAC[player]) if __name__ == "__main__": root = Game() root.mainloop() dok drzis polje ono se mrvicu smanji kad pustis pretvori se u tvoju boju, a onda se ostala polja mijenjaju sirenje boje ''' #koristim None, 1 i -1 radi jednostavnosti - da manje bugova ima

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RamiliaR/django

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('congratulation', '0002_auto_20150714_1310'), ] operations = [ migrations.AddField( model_name='customer', name='email', field=models.CharField(null=True, max_length=75), ), migrations.AddField( model_name='customer', name='password', field=models.CharField(null=True, max_length=30), ), migrations.AddField( model_name='customer', name='username', field=models.CharField(null=True, max_length=30), ), ]

[ "RamiliaNigmatullina@gmail.com" ]

RamiliaNigmatullina@gmail.com

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/order/api/serializers.py

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omkarrane/ecommerce-api

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refs/heads/master

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from django.contrib.contenttypes.models import ContentType from django.contrib.auth import get_user_model from django.db.models import Q from django.contrib.sites.shortcuts import get_current_site from django.utils.encoding import force_bytes, force_text from django.utils.http import urlsafe_base64_encode, urlsafe_base64_decode from django.template.loader import render_to_string from django.contrib.auth.models import User from django.core.mail import EmailMessage from accounts.api.utils import generateToken, decodeToken import random from rest_framework.serializers import ( CharField, EmailField, HyperlinkedIdentityField, ModelSerializer, SerializerMethodField, ValidationError, PrimaryKeyRelatedField ) from retail.models import ( Retail_Info, Retail_Warehouse, Retail_Product ) from order.models import ( Order, ) User = get_user_model() class OrderSerializer(ModelSerializer): class Meta: model = Order fields = [ 'item_list', 'total_cost' ]

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omkarrane10@gmail.com

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abalberchak/TouchFace

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refs/heads/master

2021-01-11T01:43:35.067808

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#----------------------------------------- Intent Schema Below:------------------------------ { "intents": [ { "intent": "AMAZON.ResumeIntent" }, { "intent": "AMAZON.PauseIntent" }, { "intent": "DojoInfoIntent" }, { "intent": "AMAZON.HelpIntent" }, { "intent": "AMAZON.StopIntent" }, { "intent": "TextBrendenIntent" }, { "intent": "GetTouchFaceIntent" }, { "intent": "DojoBrendenIntent" }, { "intent": "AskBrendan" }, { "intent": "twilioIntent" }, { "intent": "GroupTextIntent", "slots": [ { "name": "Name", "type": "MEMBERS" } ] } ] } #----------------------------------------- Utterances Below:------------------------------ DojoInfoIntent what is the coding dojo DojoInfoIntent tell me about the coding dojo TextBrendenIntent Text Brendan GetTouchFaceIntent Tell what does Brenden say DojoBrendenIntent who is brenden AskBrendan what is touchface twilioIntent hi annet GroupTextIntent text {Name}

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/bip_utils/bip39/bip39_entropy_generator.py

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renauddahou/bip_utils

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refs/heads/master

2023-07-16T05:08:45.042084

2021-08-19T09:33:03

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# Copyright (c) 2021 Emanuele Bellocchia # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # Imports import os from enum import IntEnum, unique from typing import List, Union @unique class Bip39EntropyBitLen(IntEnum): """ Enumerative for BIP-0039 entropy bit lengths. """ BIT_LEN_128 = 128, BIT_LEN_160 = 160, BIT_LEN_192 = 192, BIT_LEN_224 = 224, BIT_LEN_256 = 256, class Bip39EntropyGeneratorConst: """ Class container for BIP39 entropy generator constants. """ # Accepted entropy lengths in bit ENTROPY_BIT_LEN: List[Bip39EntropyBitLen] = [ Bip39EntropyBitLen.BIT_LEN_128, Bip39EntropyBitLen.BIT_LEN_160, Bip39EntropyBitLen.BIT_LEN_192, Bip39EntropyBitLen.BIT_LEN_224, Bip39EntropyBitLen.BIT_LEN_256, ] class Bip39EntropyGenerator: """ Entropy generator class. It generates random entropy bytes with the specified length. """ def __init__(self, bits_len: Union[int, Bip39EntropyBitLen]) -> None: """ Construct class by specifying the bits length. Args: bits_len (int or Bip39EntropyBitLen): Entropy length in bits Raises: ValueError: If the bit length is not valid """ if not self.IsValidEntropyBitLen(bits_len): raise ValueError("Entropy bit length is not valid (%d)" % bits_len) self.m_bits_len = bits_len def Generate(self) -> bytes: """ Generate random entropy bytes with the length specified during construction. Returns: bytes: Generated entropy bytes """ return os.urandom(self.m_bits_len // 8) @staticmethod def IsValidEntropyBitLen(bits_len: Union[int, Bip39EntropyBitLen]) -> bool: """ Get if the specified entropy bit length is valid. Args: bits_len (int or Bip39EntropyBitLen): Entropy length in bits Returns: bool: True if valid, false otherwise """ return bits_len in Bip39EntropyGeneratorConst.ENTROPY_BIT_LEN @staticmethod def IsValidEntropyByteLen(bytes_len: int) -> bool: """ Get if the specified entropy byte length is valid. Args: bytes_len (int): Entropy length in bytes Returns: bool: True if valid, false otherwise """ return Bip39EntropyGenerator.IsValidEntropyBitLen(bytes_len * 8)

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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html import scrapy class Property(scrapy.Item): data_code = scrapy.Field() latitude = scrapy.Field() longtitude = scrapy.Field() property_type = scrapy.Field() address = scrapy.Field() city = scrapy.Field() askprice = scrapy.Field() sellingprice = scrapy.Field() year_built = scrapy.Field() living_area = scrapy.Field() num_parking = scrapy.Field() num_bath = scrapy.Field() num_bed = scrapy.Field() num_room = scrapy.Field() sold_date = scrapy.Field()

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vinay.gulani@relishly.com

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tanya931117/TestDev

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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2020/8/8 13:27 # @Author : tanya # @File : test_tag_manage.py # @Software: PyCharm import pytest import yaml from pythoncode.PO.contact_tag_api import ContactTagApi from pythoncode.PO.we_work_api import WeWorkApi @pytest.mark.usefixtures("start_case") class TestTagManage(): def setup_class(self): self.contact_tag = ContactTagApi() wework =WeWorkApi() self.token = wework.get_token(self.contact_tag._contact_secret) #用钩子函数pytest_generate_tests加载参数 func_params = {"test_all": ["tagname", "add_tag_api.yml"], "test_tag_mem":["tagid,userlist","add_tag_mem_api.yml"]} def get_params(path): with open(path, "r",encoding="utf-8") as f: params = yaml.safe_load(f) return params @pytest.mark.skip def test_all(self,tagname): response = self.contact_tag.get_tag_list(self.token) result = response.json() #{'errcode': 0, 'errmsg': 'ok', 'taglist': [{'tagid': 1, 'tagname': '标签一'}, {'tagid': 2, 'tagname': '标签二'}]} if len(result["taglist"]) >0: for tag in result["taglist"]: if tag["tagname"] == tagname: self.contact_tag.del_tag({"tagid":tag["tagid"]},self.token) break tag = { "tagname": tagname } res = self.contact_tag.add_tag(tag,self.token) assert res.json()["errmsg"].startswith("created") def test_tag_mem(self,tagid,userlist): response = self.contact_tag.get_tag_mems({"tagid":tagid},self.token) result = response.json() #{'errcode': 0, 'errmsg': 'ok', 'userlist': [{'userid': 'LiTan', 'name': '李土云'}, {'userid': 'Miao', 'name': '张世锋'}, {'userid': 'eunhyuk.lee', 'name': 'LeeEunHyuk'}, {'userid': 'donghae.lee', 'name': 'LeeDongHae'}], 'partylist': [], 'tagname': '标签一'} if len(result["userlist"]) > 0: userlist_del = [] for user in result["userlist"]: if user["userid"] in userlist: userlist_del.append(user["userid"]) if len(userlist_del) > 0 : params = { "tagid": tagid, "userlist": userlist_del } self.contact_tag.del_tag_mem(params,self.token) params = { "tagid": tagid, "userlist": userlist } res = self.contact_tag.add_tag_mem(params,self.token).json() #{'errcode': 0, 'errmsg': 'ok', 'invalidparty': []} assert res["errmsg"] == "ok"

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import MapReduce import sys import re """ tf df Example in the Simple Python MapReduce Framework """ mr = MapReduce.MapReduce() # ============================= # Do not modify above this line def mapper(record): # key: document identifier # value: document contents dname = record[0] content = record[1].lower() words = content.split() for w in set(words): if re.match(r'\w+$', w): mr.emit_intermediate(w, (dname,words.count(w))) def reducer(key, list_of_values): # key: word # value: df along with individual tf tuples dftotal = len(list_of_values) mr.emit((key, dftotal,list_of_values)) # Do not modify below this line # ============================= if __name__ == '__main__': inputdata = open(sys.argv[1]) mr.execute(inputdata, mapper, reducer)

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/integration/combination/test_state_machine_with_api.py

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permissive

Skarlso/serverless-application-model

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2023-08-21T09:24:32.577637

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from unittest.case import skipIf from integration.helpers.base_test import BaseTest from integration.helpers.common_api import get_policy_statements from integration.helpers.resource import current_region_does_not_support from integration.config.service_names import STATE_MACHINE_WITH_APIS @skipIf( current_region_does_not_support([STATE_MACHINE_WITH_APIS]), "StateMachine with APIs is not supported in this testing region", ) class TestStateMachineWithApi(BaseTest): def test_state_machine_with_api(self): self.create_and_verify_stack("combination/state_machine_with_api") outputs = self.get_stack_outputs() region = outputs["Region"] partition = outputs["Partition"] state_name_machine_arn = outputs["MyStateMachineArn"] implicit_api_role_name = outputs["MyImplicitApiRoleName"] implicit_api_role_arn = outputs["MyImplicitApiRoleArn"] explicit_api_role_name = outputs["MyExplicitApiRoleName"] explicit_api_role_arn = outputs["MyExplicitApiRoleArn"] rest_apis = self.get_stack_resources("AWS::ApiGateway::RestApi") implicit_rest_api_id = next( (x["PhysicalResourceId"] for x in rest_apis if x["LogicalResourceId"] == "ServerlessRestApi"), None ) explicit_rest_api_id = next( (x["PhysicalResourceId"] for x in rest_apis if x["LogicalResourceId"] == "ExistingRestApi"), None ) self._test_api_integration_with_state_machine( implicit_rest_api_id, "POST", "/pathpost", implicit_api_role_name, implicit_api_role_arn, "MyStateMachinePostApiRoleStartExecutionPolicy", state_name_machine_arn, partition, region, ) self._test_api_integration_with_state_machine( explicit_rest_api_id, "GET", "/pathget", explicit_api_role_name, explicit_api_role_arn, "MyStateMachineGetApiRoleStartExecutionPolicy", state_name_machine_arn, partition, region, ) def _test_api_integration_with_state_machine( self, api_id, method, path, role_name, role_arn, policy_name, state_machine_arn, partition, region ): apigw_client = self.client_provider.api_client resources = apigw_client.get_resources(restApiId=api_id)["items"] resource = get_resource_by_path(resources, path) post_method = apigw_client.get_method(restApiId=api_id, resourceId=resource["id"], httpMethod=method) method_integration = post_method["methodIntegration"] self.assertEqual(method_integration["credentials"], role_arn) # checking if the uri in the API integration is set for Step Functions State Machine execution expected_integration_uri = "arn:" + partition + ":apigateway:" + region + ":states:action/StartExecution" self.assertEqual(method_integration["uri"], expected_integration_uri) # checking if the role used by the event rule to trigger the state machine execution is correct start_execution_policy = get_policy_statements(role_name, policy_name, self.client_provider.iam_client) self.assertEqual(len(start_execution_policy), 1, "Only one statement must be in Start Execution policy") start_execution_policy_statement = start_execution_policy[0] self.assertTrue(type(start_execution_policy_statement["Action"]) != list) policy_action = start_execution_policy_statement["Action"] self.assertEqual( policy_action, "states:StartExecution", "Action referenced in event role policy must be 'states:StartExecution'", ) self.assertTrue(type(start_execution_policy_statement["Resource"]) != list) referenced_state_machine_arn = start_execution_policy_statement["Resource"] self.assertEqual( referenced_state_machine_arn, state_machine_arn, "State machine referenced in event role policy is incorrect", ) def get_resource_by_path(resources, path): return next((resource for resource in resources if resource["path"] == path), None)

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noreply@github.com

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/kore4.py

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[]

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snorey/lexical-tools

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refs/heads/master

2021-01-24T00:44:20.052004

2018-02-24T22:22:20

122,780,255

0

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UTF-8

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5,989

py

import datetime import os import re import time import urllib import urllib2 dirr="C:\\Code\\Naver" def naverextract(text): title=text.split("<title>")[1].split(":")[0].strip() if "'" in title: title=title.split("'")[1].split("'")[0].strip() pieces=text.split('<SPAN class="EQUIV">')[1:] pieces=[x.split("</span>")[0] for x in pieces] pieces=[re.sub("\<.*?\>","",x) for x in pieces] pieces=[re.sub("[\<\(\,\[\r\n].*","",x) for x in pieces] glosses=[x.strip() for x in pieces] return title,glosses def naverextract_ko(text): pass def naverloop(directory=dirr): files=os.listdir(directory) files=[os.path.join(directory,x) for x in files if "G" not in x] # skip Googley files outlines=[] for f in files: stamp=f.split("\\")[-1].split(".")[0] print stamp text=open(f).read() if not text: continue title,glosses=naverextract(text) outlines.append(stamp+"\t"+title+"\t"+", ".join(glosses)) print stamp,str(glosses) return outlines def googleextract(text): catchstring1='<meta name="description" content="' catchstring2="- Google" if catchstring1 not in text: return "","" caught=text.split(catchstring1)[1].split(catchstring2)[0].strip() if '"' in caught: caught=caught.split('"')[0].strip() if ":" not in caught: return "","" title=caught.split(":")[0].strip() glosses=caught.split(":")[1].split(";") glosses=[x.strip() for x in glosses] return title,glosses def googloop(directory=dirr): files=os.listdir(directory) files=[os.path.join(directory,x) for x in files if "G" in x] # Googles only outlines=[] for f in files: stamp=f.split("\\")[-1].split(".")[0] print stamp text=open(f).read() if not text: continue title,glosses=googleextract(text) outlines.append(stamp+"\t"+title+"\t"+", ".join(glosses)) print stamp,str(glosses) return outlines def list2voc(path="C:\\Code\\koreanvocab2.txt"): import pie vocab=pie.Vocabulary(filter=False,language="Korean") text=open(path).read() text=text.decode("utf-8","ignore") lines=text.split("\n") lines=[tuple(x.split("\t")) for x in lines if "\t" in x] for line in lines: rank=line[0] print rank.encode('utf-8','ignore') if rank: try: tally=1000000/int(rank) except: tally=0 else: tally=0 word=line[1] newword=pie.Word(text=word) newword.tally=tally vocab.allwords.add(newword) return vocab def combine(file1,file2):# TSV of CSV glosses dixie={} dixie2={} for line in file1.split("\n"): #files come in as text, not handles parts=line.split("\t") dixie[parts[1]]=[x.strip() for x in parts[2].split(",") if x.strip()] for line in file2.split("\n"): parts=line.split("\t") if parts[1] in dixie.keys(): dixie[parts[1]].extend([x.strip() for x in parts[2].split(",") if x.strip()]) else: dixie[parts[1]]=[x.strip() for x in parts[2].split(",") if x.strip()] for d in dixie.keys(): newlist=[] newlist2=[] countlist=[] for i in dixie[d]: newlist.extend([x.strip() for x in re.split("[^a-zA-Z0-9\-\s]+",i) if x]) for n in newlist: testers=["a","an","the","to"] for t in testers: if (n.startswith(t+" ") or n.startswith(t.title()+" ")) and len(n) > 1+len(t): n=n[len(t):].strip() break newlist2.append(n) countlist=list(set((newlist2.count(x),x) for x in newlist2)) countlist.sort() countlist.reverse() dixie[d]=newlist2 dixie2[d]=countlist return dixie,dixie2 def get_naver_en(word): pass def get_naver_ko(word): import urllib, urllib2 url="http://krdic.naver.com/search.nhn?dic_where=krdic&query=%s&kind=keyword" % urllib.quote(word) page=urllib2.urlopen(url,timeout=60).read() matcher=re.escape('<a class="fnt15" href="') + '([^\"]*)' + re.escape('"><strong>') + '([^\<]*)' + re.escape('</strong><') # trailing "<" excludes partial headword matches pieces=re.findall(matcher,page) defs=[] for p in pieces: # keep this simple for now; don't bother actually chasing to next page if word not in p: # print "No words!" continue else: # print "Yay!" pass try: chunk=page.split(p[0])[1].split("<p>")[1].split("<div")[0].split("<p")[0] except Exception, e: print "Caught",e continue chunk=re.sub("\<[^\>]*\>","",chunk) chunk=chunk.replace("<","<").replace(">",">") lines=[x.strip() for x in chunk.split("\n") if x.strip()] defs.append(" / ".join(lines)) return defs def naver_ko_loop(inpath,outpath="",directory="C:\\Code"): if not outpath: outpath=os.path.join(directory,"testdefs-"+datetime.date.today().isoformat()+".txt") words=open(inpath).read().split("\n") output="" words=[x.strip() for x in words if x.strip()] print len(words) for w in words: done=False print words.index(w) while not done: try: defs=get_naver_ko(w) time.sleep(1) except Exception, e: print str(e) time.sleep(5) continue done=True if defs: defstring=" // ".join(defs) output+=w+"\t"+defstring+"\n" else: output+=w+"\t\n" if outpath: try: open(outpath,"w").write(output) print outpath except Exception, e: print str(e) outdefs=dict([tuple(x.split("\t")) for x in output.split("\n") if x.strip()]) return outpath,outdefs def get_examples_naver(word,kill_html=True): #UTF8-encoded hangul string url="http://krdic.naver.com/search.nhn?kind=all&scBtn=true&query="+urllib.quote(word) print url output=[] done=False while not done: try: page=urllib2.urlopen(url).read() done=True except Exception, e: print e continue try: section=page.split('<span class="head_ex">')[1].split("</ul>")[0] except IndexError, e: print str(e) return output lines=section.split("<li>")[1:] lines=[x.split("<p>")[1].split("<span class")[0].strip() for x in lines] if kill_html: lines=[re.sub("\<[^\<]*\>","",x) for x in lines] return lines

[ "noreply@github.com" ]

noreply@github.com

c74987a27b063d67e8ce049ee6e834b52db5fe03

c09b899e42e867e20993488e5f4e3d79c4eb779f

/movies/views.py

1aa3c1ecd81aa00297a088047aaa610c2979330b

[]

no_license

JaycobDuffel/Vidly

33913b50096ac8b1cd54bcc62c503287d1b11c47

b0aa76e6e9634a7ab64b50652db941577567932a

refs/heads/master

2022-12-23T14:26:34.360432

2020-10-07T02:37:18

300,044,549

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UTF-8

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425

py

from django.http import HttpResponse, Http404 from django.shortcuts import render, get_object_or_404 from .models import Movie # Create your views here. def index(request): movies = Movie.objects.all() return render(request, "movies/index.html", {"movies": movies}) def detail(request, movie_id): movie = get_object_or_404(Movie, pk=movie_id) return render(request, "movies/detail.html", {"movie": movie})

[ "jbdcoding@gmail.com" ]

jbdcoding@gmail.com

ed949aaf72486dd9f746cc86f1ee975b0529cb89

3bc7c8a96be2cf2b60f8c1757e71a980140bd43b

/bus_plotter.py

91c2983b5b0cd903810a8fe00e57eba7302aea54

[]

no_license

chrisjkuch/busdata

98bff373efaacdd4cb6d1e618165d3de63296d69

f68ba523191dbcb50d6ffaeb20c73e7fc6225c0e

refs/heads/master

2020-12-31T06:56:27.346245

2017-05-17T03:15:27

80,571,966

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py

# -*- coding: utf-8 -*- """ Created on Tue Aug 9 17:28:01 2016 @author: chris """ import pandas as pd import matplotlib.pyplot as plt import matplotlib.dates as md import numpy as np import datetime as dt def dayTimeToDateTime(fltime): hours = int(fltime * 24) minutes = int(fltime * 24 * 60 - hours * 60) seconds = 0 #int(fltime * 24 * 3600 - hours * 60 * 60 - minutes * 60) return(dt.datetime(2016,8,1,hours,minutes,seconds)) def setSameDay(dt_obj): return(dt.datetime(2016,8,1,dt_obj.hour,dt_obj.minute,dt_obj.second)) # Temporary: Pick the stop we are interested in stop = u'Sherman/Foster' etoc = pd.read_csv('evanstontochicago.csv') ctoe = pd.read_csv('chicagotoevanston.csv') # Get the x-coordinates of vertical lines marking scheduled times # Read the log data from the spreadsheet busdata = pd.read_csv('test.csv') bd = busdata[[u'Stop Name', u'Time']] bd[u'Time'] = bd[u'Time'].astype('datetime64').apply(lambda x: md.date2num(setSameDay(x))) groupedstops = bd.groupby(u'Stop Name') curStop = bd.groupby(u'Stop Name').groups[stop] times = bd.iloc[curStop, 1] #times = times.apply(lambda x: md.date2num(setSameDay(x))) # Set up the histogram fig = plt.figure() my_bins = md.date2num(dt.datetime(2016,8,1,0,0,0)) + np.linspace(6,24,(18*60)+1)/24. hfmt = md.DateFormatter('%H:%M') thisroute = etoc thesestops = list(thisroute.columns.values) nplots = len(thesestops) i = 1 all_axes = [] for stop in thesestops: if(i > 1): fig.add_subplot(nplots, 1, i, sharex=all_axes[0], sharey=all_axes[0]) else: fig.add_subplot(nplots, 1, 1) i += 1 curStop = groupedstops.groups[stop] curTimes = bd.iloc[curStop, 1] ax = curTimes.plot.hist(bins=my_bins) ax2 = curTimes[-1:].plot.hist(bins=my_bins) all_axes.append(ax) #nboundsched = etoc[stop].apply(lambda x: md.date2num(dayTimeToDateTime(x))) cursched = thisroute[stop].apply(lambda x: md.date2num(dayTimeToDateTime(x))) top = 6 #y1n = [0] * len(nboundsched) #y2n = [top] * len(nboundsched) y1 = [0] * len(cursched) y2 = [top] * len(cursched) plt.vlines(cursched, y1, y2) ax.xaxis.set_major_locator(md.HourLocator()) ax.xaxis.set_major_formatter(hfmt) ax.yaxis.set_ticks([]) ax.yaxis.set_label_position('right') plt.ylabel(stop, rotation=0) #stopdata = scheduledata[stop].apply(lambda x: md.date2num(dayTimeToDateTime(x))) #y1 = [0] * len(stopdata) #y2 = [2] * len(stopdata) plt.xticks(rotation=45) plt.xlim([md.date2num(dt.datetime(2016,8,1,6,0,0)), md.date2num(dt.datetime(2016,8,1,23,59,0))]) plt.gcf().subplots_adjust(hspace=0) plt.show()

[ "noreply@github.com" ]

noreply@github.com

928fcb4241acb702ec2df763ded6e985a2e6fec8

8ff979eb571966fcd3a8a4ac359110945b21a471

/ud120/ex01/ClassifyNB.py

cc4faeceb6d24854ce4a127805292bcd20862bcb

[]

no_license

ziriuz/udacity_learn

4a1ad2f4f6ed3670321b431a6a8d35027b1cede3

acdf479936368e0f5803fb0c1f004ee8a85fdbe1

refs/heads/master

2021-08-28T23:16:26.303069

2017-12-13T08:11:45

113,209,680

0

null

UTF-8

Python

false

346

py

# import the sklearn module for GaussianNB from sklearn.naive_bayes import GaussianNB def classify(features_train, labels_train): # create classifier gnb = GaussianNB() # fit the classifier on the training features and labels cls = gnb.fit(features_train, labels_train) # return the fit classifier return cls

[ "noreply@github.com" ]

noreply@github.com

394178ecf0b8ba5aa5f8ffac26bfc54459935fb5

812f7c3982f2525bc7c3013938f70ffdda4abe1e

/vehicles/admin.py

875e37a21f750efb0d84da238affc5a7c39c522c

[]

no_license

roditashakya/ebooking

7393aa651d2ddc979016000d62d6f44a3caddf57

3cdfe3a9b911835b4fcc32ae63e1e28983a4d6d9

refs/heads/master

2020-05-01T09:42:29.961770

2019-03-24T19:54:56

177,406,292

0

null

UTF-8

Python

false

408

py

from django.contrib import admin # Register your models here. from .models import SeatTemplate, TravelDetail, Vehicle, Booking, BookingUser, Seat, Schedule, Search admin.site.register(SeatTemplate) admin.site.register(TravelDetail) admin.site.register(Vehicle) admin.site.register(Booking) admin.site.register(BookingUser) admin.site.register(Seat) admin.site.register(Schedule) admin.site.register(Search)

[ "rodishakya@gmail.com" ]

rodishakya@gmail.com

af935ba661ffbdb6c3921e41c3c65c2ba9235ccd

843d9f17acea5cfdcc5882cf8b46da82160c251c

/adafruit_stepper.py

8e9319c17ea13b32312acbe50d018791ab2ea40a

[]

no_license

gunny26/raspberry

7c1da63785c86412af9fa467ea231b19a97f4384

e4eb0d2f537b319d41b6c50b59e69fb297c62d25

refs/heads/master

2016-09-06T14:02:30.122102

2014-01-29T16:31:08

null

0

null

UTF-8

Python

false

1,335

py

import RPi.GPIO as GPIO import time GPIO.cleanup() GPIO.setmode(GPIO.BCM) enable_pin = 18 coil_A_1_pin = 4 coil_A_2_pin = 17 coil_B_1_pin = 23 coil_B_2_pin = 24 GPIO.setup(enable_pin, GPIO.OUT) GPIO.setup(coil_A_1_pin, GPIO.OUT) GPIO.setup(coil_A_2_pin, GPIO.OUT) GPIO.setup(coil_B_1_pin, GPIO.OUT) GPIO.setup(coil_B_2_pin, GPIO.OUT) GPIO.output(enable_pin, 1) def forward(delay, steps): for i in range(0, steps): setStep(1, 0, 1, 0) time.sleep(delay) setStep(0, 1, 1, 0) time.sleep(delay) setStep(0, 1, 0, 1) time.sleep(delay) setStep(1, 0, 0, 1) time.sleep(delay) def backwards(delay, steps): for i in range(0, steps): setStep(1, 0, 0, 1) time.sleep(delay) setStep(0, 1, 0, 1) time.sleep(delay) setStep(0, 1, 1, 0) time.sleep(delay) setStep(1, 0, 1, 0) time.sleep(delay) def setStep(w1, w2, w3, w4): GPIO.output(coil_A_1_pin, w1) GPIO.output(coil_A_2_pin, w2) GPIO.output(coil_B_1_pin, w3) GPIO.output(coil_B_2_pin, w4) while True: try: delay = raw_input("Delay between steps (milliseconds)?") steps = raw_input("How many steps forward? ") forward(int(delay) / 1000.0, int(steps)) steps = raw_input("How many steps backwards? ") backwards(int(delay) / 1000.0, int(steps)) except KeyboardInterrupt: GPIO.cleanup()

[ "arthur.messner@gmail.com" ]

arthur.messner@gmail.com

6e8d64feec1287a4b57e616953041d7efd2c6bc7

245a9680c18bb08b338b024e8cb61da899097cec

/gamestore/store/urls.py

391ff5e89cf9119bd07a47ae7fdfcfa0e21e395f

[]

no_license

arnold1000/onlinestore

c5f2c003076d248cc18a3e2698c0e09cb4c0a18c

fe8a393a270dfb6cd32c0628385a0777d815f8e9

refs/heads/master

2021-09-22T23:19:15.736468

2020-02-20T10:04:50

240,704,666

0

null

2020-02-15T12:58:46

2020-02-15T12:17:51

JavaScript

UTF-8

Python

false

955

py

from django.urls import include, path from . import views urlpatterns = [ path('', views.games, name='store-home'), path(r'^activate/(?P<uidb64>[0-9A-Za-z_\-]+)/(?P<token>[0-9A-Za-z]{1,13}-[0-9A-Za-z]{1,20})/$', views.activate, name='activate'), path('games/', views.games, name='games'), path('games/<int:game_id>/', views.game, name='game'), path('games/<int:game_id>/score', views.save_score, name='save_score'), path('games/<int:game_id>/save', views.save_game, name='save_game'), path('games/<int:game_id>/load', views.load_game, name='load_game'), path('games/new/', views.add_new, name='add_game'), path('games/<int:game_id>/modify', views.modify, name='modify'), path('games/<int:game_id>/delete', views.delete, name='delete'), path('shop/', views.shop, name='shop'), path('shop/<int:game_id>/', views.buy, name="buy"), path('shop/payment/', views.buy_response, name="buy_response") ]

[ "arttu.e.koponen@aalto.fi" ]

arttu.e.koponen@aalto.fi

f0ebbd9f94e46663f17baf0ce5d22f3445f7b76f

b1a584df32c2d11a0648dec27e2f9cacd540a7f2

/realtors/migrations/0001_initial.py

22c019188655b19dcb1f7eae14c3d94742f64f7b

[]

no_license

sree61/Django_project_realestate

b822f65dff1ea03e3739208c66b8a5f559bce1c0

8da46343a0275f8cd13bd71ed74eee6e4efb003a

refs/heads/master

2020-04-26T04:02:40.594223

2019-03-12T18:01:51

173,288,055

0

null

UTF-8

Python

false

922

py

# Generated by Django 2.1.7 on 2019-02-27 03:20 import datetime from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Realtor', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('photo', models.ImageField(upload_to='photos/%Y/%m/%d/')), ('description', models.TextField(blank=True)), ('phone', models.CharField(max_length=20)), ('email', models.CharField(max_length=50)), ('is_mvp', models.BooleanField(default=False)), ('hire_date', models.DateTimeField(blank=True, default=datetime.datetime.now)), ], ), ]

[ "sreeamaravila@gmmail.com" ]

sreeamaravila@gmmail.com

f6f2eef9a2b17f09fa5e8751ab81ae99d47ae64e

e85a47a94e59f4c2feaec8aa635aa9d42e0edc00

/django_project/urls.py

f03e6a43c2f71e2fc1f25d65ab2be1a55421f207

[]

no_license

afAditya/Django_Blog

1bf0e2949db03a6813db380c49cdca324cd7173b

7662d4765a03b25814481edc5a189b97d6899b41

refs/heads/master

2023-02-17T03:58:49.091498

2021-01-20T18:18:51

330,613,546

0

null

UTF-8

Python

false

1,393

py

"""django_project URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.contrib.auth import views as auth_views from django.urls import path,include from django.conf import settings from django.conf.urls.static import static from users import views as users_views urlpatterns = [ path('admin/', admin.site.urls), path('register/', users_views.register, name='register'), path('profile/', users_views.profile, name='profile'), path('login/', auth_views.LoginView.as_view(template_name='users/login.html'), name='login'), path('logout/', auth_views.LogoutView.as_view(template_name='users/logout.html'), name='logout'), path('', include('blog.urls')), ] if settings.DEBUG: urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT)

[ "adityasinghrajput971@gmail.com" ]

adityasinghrajput971@gmail.com

630cda4283ce85c051de8920c72c86b1b92d2ca7

a305456a1b6509437883bb3de8d0c3f2968694a1

/apis/connect/auth.py

55e8b22c76ffb214dbba1f656da60e331a09384f

[]

no_license

yoshow/tornado-quick-start

6ebeeb87e09b5a9c357cdc2332c7d80fdaa96d06

6e00dd3a873e624c1a39cc5f94d47ddc1a366a00

refs/heads/master

2021-01-18T15:27:31.410263

2018-06-19T16:21:59

86,654,471

0

null

UTF-8

Python

false

6,223

py

# -*- coding: utf-8 -*- """ OAuth 2.0 """ import uuid import json from sqlalchemy import select, text import x.data.orm from x.web.apis import WebApiResponse from models.membership import AccountInfo, MemberInfo from models.connect import ConnectAuthorizationCodeInfo, ConnectAccessTokenInfo class Auth(object): """ 验证管理 """ def authorize(self, req, res=WebApiResponse()): """ 授权验证 :param clientId: 客户端应用 :param redirectUri: 重定向地址 :param responseType: 响应类型 :param scope: 授权范围 :param style: 样式自定义样式 :param loginName: 登录名 :param password: 密码 :returns: this is a description of what is returned :raises keyError: raises an exception """ clientId = req.get("clientId") redirectUri = req.get("redirectUri") responseType = req.get("responseType") scope = req.get("scope") style = req.get("style") loginName = req.get("loginName") password = req.get("password") session = x.data.orm.createSession() # 获取当前用户信息 account = session.query(AccountInfo).filter( text("loginName='" + loginName + "' and password='" + password + "'")).first() if account is None: if responseType is None: res.message.returnCode = 1 res.message.value = u"帐号或者密码错误。" return res else: # 如果响应类型 # TODO: 输出登录页面 pass else: # 检验是否有授权码 # cliendId account authorizationCode = session.query(ConnectAuthorizationCodeInfo).filter( text("appKey='" + clientId + "' and accountId='" + account.id + "'")).first() # 如果不存在则新增授权码信息 if authorizationCode is None: # 设置对象信息 authorizationCode = ConnectAuthorizationCodeInfo() authorizationCode.id = str(uuid.uuid4()) authorizationCode.appKey = clientId authorizationCode.accountId = account.id authorizationCode.authorizationScope = scope == '' and "public" or scope session.add(authorizationCode) # 写数据库，但并不提交 session.flush() session.commit() # 设置访问令牌 # 设置会话信息 accessToken = session.query(ConnectAccessTokenInfo).filter( text("appKey='" + clientId + "' and accountId='" + account.id + "'")).first() # 如果不存在则新增授权码信息 if accessToken is None: accessToken = ConnectAccessTokenInfo(id=str(uuid.uuid4())) # 设置对象信息 accessToken.id = str(uuid.uuid4()) accessToken.appKey = clientId accessToken.accountId = account.id accessToken.authorizationScope = scope == '' and "public" or scope session.add(accessToken) # 写数据库，但并不提交 # session.flush() session.commit() # 记录日志 res.data = accessToken res.message.returnCode = 0 res.message.value = u"验证成功。" return res print "authorize loginName:" + loginName + " password:" + password res.message.returnCode = 0 res.message.value = u"执行成功。" return res def token(self, req, res=WebApiResponse()): """ 获取令牌信息 :param code: 授权码信息 :returns: this is a description of what is returned :raises keyError: raises an exception """ code = req.get("code") session = x.data.orm.createSession() authorizationCode = session.query(ConnectAuthorizationCodeInfo).filter_by( id=code).first() # 如果不存在则新增授权码信息 if authorizationCode is None: res.message.returnCode = 1 res.message.value = "authorization code not find" return res accessToken = session.query(ConnectAccessTokenInfo).filter( text("appKey='" + authorizationCode.appKey + "' and accountId='" + authorizationCode.accountId + "'")).first() if accessToken is None: res.message.returnCode = 1 res.message.value = "access code not find" return res return res def refresh(self, req, res=WebApiResponse()): """ 刷新令牌信息 """ print "token" return "connect.auth.refresh" def me(self, req, res=WebApiResponse()): """ 当前用户信息 """ token = req.get("token") session = x.data.orm.createSession() accessToken = session.query( ConnectAccessTokenInfo).filter_by(id=token).first() if accessToken is None: res.message.returnCode = 1 res.message.value = "people not find" return res else: # 根据访问令牌返回当前湖用户 # IMemberInfo member = # MembershipManagement.Instance.MemberService[accessTokenInfo.AccountId] member = session.query(MemberInfo).filter_by( id=accessToken.accountId).first() if member is None: res.message.returnCode = 1 res.message.value = "people not find" return res # 输出个人信息 res.data = member res.message.returnCode = 0 res.message.value = "success" return res def ToPeopleJson(self, account): """ 将人员信息格式化为特定格式 """ return { "id": account.id, "name": account.name, "loginName": account.loginName, # "certifiedAvatar": account.certifiedAvatar, "status": account.status }

[ "ruanyu@live.com" ]

ruanyu@live.com

70b411ba66521bde662ff464e6ab782442fa0581

1508f7da93705839660e4fdfb87df7a9664bf087

/a10API/a10API/flask/bin/migrate

bff34539b04e8d820b8b866d8ef3ee3bbc9995fb

[]

no_license

Younglu125/A10_Networks

1a1ecebb28dd225f6a1f901a7c28350300df356d

78a177ae4c8638d58dc873e4b1c589a1d5aaa717

refs/heads/master

2020-06-17T00:35:30.325740

2016-03-21T18:17:30

null

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#!/home/echou/a10API/flask/bin/python # EASY-INSTALL-ENTRY-SCRIPT: 'sqlalchemy-migrate==0.7.2','console_scripts','migrate' __requires__ = 'sqlalchemy-migrate==0.7.2' import sys from pkg_resources import load_entry_point if __name__ == '__main__': sys.exit( load_entry_point('sqlalchemy-migrate==0.7.2', 'console_scripts', 'migrate')() )

[ "info@pythonicneteng.com" ]

info@pythonicneteng.com

bee4f557d4eaf73b50b39fe6da8aff6cd3065efd

fc8ef4d310eaf76384cd1f29a45e65ffd1849a6b

/back-end/api/migrations/0004_article_source_name.py

371ef4c62f6d991ee5521f8b6c4f6db3a7a673c5

[]

no_license

mykola829/webl_lab_3_4

70c6c52e23962741971efc65a5a15aed5822059f

c47f09a03157e71687294b7a61863d775c6e95e2

refs/heads/master

2022-09-13T02:27:17.381772

2020-06-04T11:57:55

268,151,334

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# Generated by Django 3.0.6 on 2020-06-03 08:03 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api', '0003_auto_20200603_1059'), ] operations = [ migrations.AddField( model_name='article', name='source_name', field=models.CharField(default=0, max_length=512), preserve_default=False, ), ]

[ "mykola829@gmail.com" ]

mykola829@gmail.com

5c578a84b20bd789b433432dfab0e9c7bdd67379

b08a6adc56016a706d84752bcfb6d5bdf014f9fd

/easyocr/DBNet/assets/ops/dcn/functions/deform_pool.py

b4c9943cbc10212f1db23910dcafbd2a2d1b7435

[ "Apache-2.0" ]

permissive

JaidedAI/EasyOCR

c83903d2f0ac2adfda89b35274e71a410f7d12e8

f947eaa36a55adb306feac58966378e01cc67f85

refs/heads/master

2023-08-08T08:34:28.434530

2023-07-04T12:44:09

247,266,215

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Apache-2.0

2023-09-12T22:16:00

2020-03-14T11:46:39

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''' Modified by Jaided AI Released Date: 31/08/2022 Description: - Add support for Deformable convolution operator on CPU for forward propagation. - Change to Just-in-Time loading approach ''' import os import warnings import torch from torch.autograd import Function from torch.utils import cpp_extension # TODO - Jaided AI: # 1. Find a better way to handle and support both Ahead-of-Time (AoT) and Just-in-Time (JiT) compilation. # 2. Find a better way to report error to help pinpointing issues if there is any. # Note on JiT and AoT compilation: # This module supports both AoT and JiT compilation approaches. JiT is hardcoded as the default. If AoT compiled objects are present, it will supercede JiT compilation. def custom_formatwarning(msg, *args, **kwargs): # ignore everything except the message return str(msg) + '\n' warnings.formatwarning = custom_formatwarning dcn_dir = os.path.dirname(os.path.dirname(__file__)) try: from .. import deform_pool_cpu warnings.warn("Using precompiled deform_pool_cpu from {}".format(deform_pool_cpu.__file__)) dcn_cpu_ready = True except: try: warnings.warn("Compiling deform_pool_cpu ...") warnings.warn("(This may take a while if this module is loaded for the first time.)") deform_pool_cpu = cpp_extension.load( name="deform_pool_cpu", sources=[os.path.join(dcn_dir, 'src', "deform_pool_cpu.cpp"), os.path.join(dcn_dir, 'src', "deform_pool_cpu_kernel.cpp")]) warnings.warn("Done.") dcn_cpu_ready = True except Exception as error: warnings.warn(' '.join([ "Failed to import or compile 'deform_pool_cpu' with the following error", "{}".format(error), "Deformable convulution and DBNet will not be able to run on CPU." ])) dcn_cpu_ready = False if torch.cuda.is_available(): try: from .. import deform_pool_cuda warnings.warn("Using precompiled deform_pool_cuda from {}".format(deform_pool_cuda.__file__)) dcn_cuda_ready = True except: try: warnings.warn("Compiling deform_pool_cuda ...") warnings.warn("(This may take a while if this module is loaded for the first time.)") deform_pool_cuda = cpp_extension.load( name="deform_pool_cuda", sources=[os.path.join(dcn_dir, 'src', "deform_pool_cuda.cpp"), os.path.join(dcn_dir, 'src', "deform_pool_cuda_kernel.cu")]) warnings.warn("Done.") dcn_cuda_ready = True except Exception as error: warnings.warn(' '.join([ "Failed to import or compile 'deform_pool_cuda' with the following error", "{}".format(error), "Deformable convulution and DBNet will not be able to run on GPU." ])) dcn_cuda_ready = False class DeformRoIPoolingFunction(Function): @staticmethod def forward(ctx, data, rois, offset, spatial_scale, out_size, out_channels, no_trans, group_size=1, part_size=None, sample_per_part=4, trans_std=.0): ctx.spatial_scale = spatial_scale ctx.out_size = out_size ctx.out_channels = out_channels ctx.no_trans = no_trans ctx.group_size = group_size ctx.part_size = out_size if part_size is None else part_size ctx.sample_per_part = sample_per_part ctx.trans_std = trans_std assert 0.0 <= ctx.trans_std <= 1.0 n = rois.shape[0] output = data.new_empty(n, out_channels, out_size, out_size) output_count = data.new_empty(n, out_channels, out_size, out_size) if not data.is_cuda and dcn_cpu_ready: deform_pool_cpu.deform_psroi_pooling_cpu_forward( data, rois, offset, output, output_count, ctx.no_trans, ctx.spatial_scale, ctx.out_channels, ctx.group_size, ctx.out_size, ctx.part_size, ctx.sample_per_part, ctx.trans_std) elif data.is_cuda and dcn_cuda_ready: deform_pool_cuda.deform_psroi_pooling_cuda_forward( data, rois, offset, output, output_count, ctx.no_trans, ctx.spatial_scale, ctx.out_channels, ctx.group_size, ctx.out_size, ctx.part_size, ctx.sample_per_part, ctx.trans_std) else: device_ = input.device.type raise RuntimeError( "Input type is {}, but 'deform_conv_{}.*.so' is not imported successfully.".format(device_, device_), ) if data.requires_grad or rois.requires_grad or offset.requires_grad: ctx.save_for_backward(data, rois, offset) ctx.output_count = output_count return output @staticmethod def backward(ctx, grad_output): if not grad_output.is_cuda: raise NotImplementedError("DCN operator for cpu for backward propagation is not implemented.") data, rois, offset = ctx.saved_tensors output_count = ctx.output_count grad_input = torch.zeros_like(data) grad_rois = None grad_offset = torch.zeros_like(offset) deform_pool_cuda.deform_psroi_pooling_cuda_backward( grad_output, data, rois, offset, output_count, grad_input, grad_offset, ctx.no_trans, ctx.spatial_scale, ctx.out_channels, ctx.group_size, ctx.out_size, ctx.part_size, ctx.sample_per_part, ctx.trans_std) return (grad_input, grad_rois, grad_offset, None, None, None, None, None, None, None, None) deform_roi_pooling = DeformRoIPoolingFunction.apply

[ "rkcosmos@gmail.com" ]

rkcosmos@gmail.com

3ad99e3d7e9841da8f65b2003210f661dc96df4a

0296bc69a0d9608ed826ad7a719395f019df098f

/Tools/Compare_images.py

f4ba586d2dfa3fcae52e277676f2b4a82ffdf59a

[]

no_license

jcn16/Blender_HDRmap_render

c0486a77e04c5b41a6f75f123dbdb3d10c682367

50e6cdb79fef83081de9830e7105dd425a235a9e

refs/heads/main

2023-07-19T22:22:53.622052

2021-08-20T06:29:10

377,757,283

2

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import cv2 import numpy as np def tianchong(img): m = img.shape[0] n = img.shape[1] append = int(np.ceil(abs(m - n) / 2)) if m > n: constant = cv2.copyMakeBorder(img, 0, 0, append, append, cv2.BORDER_CONSTANT, value=(0, 0, 0)) else: constant = cv2.copyMakeBorder(img, append, append, 0, 0, cv2.BORDER_CONSTANT, value=(0, 0, 0)) constant = cv2.resize(constant, (512, 512)) return constant def compare(): image_1=cv2.imread('/media/jcn/新加卷/JCN/JCN_test_datset/RayTracing/Train_HDR_512/126111539900259-h/0_-32_1_dikhololo_sunset_8k_324/raytracing.png') mask_1=cv2.imread('/media/jcn/新加卷/JCN/JCN_test_datset/RayTracing/Train_HDR_512/126111539900259-h/0_-32_1_dikhololo_sunset_8k_324/alpha.png') image_1=tianchong(image_1) mask_1=tianchong(mask_1) image_2=cv2.imread('/media/jcn/新加卷/JCN/JCN_test_datset/RayTracing/Train_HDR_512/126111539900259-h/0_-32_1_dikhololo_sunset_8k_324/shading.png') image_1=image_1/255.0*mask_1/255.0 image_2=image_2/255.0*mask_1/255.0 cv2.imshow('image_1',np.asarray(image_1*255,dtype=np.uint8)) cv2.imshow('image_2',np.asarray(image_2*255,dtype=np.uint8)) res=np.asarray(np.clip((image_1-image_2)*255,0,255),dtype=np.uint8) cv2.imshow('res',res) cv2.waitKey(0) def composite(): shading=cv2.imread('/media/jcn/新加卷/JCN/RelightHDR/TEST/images_high_res/10/raytracing.png') albedo=cv2.imread('/home/jcn/桌面/Oppo/Results_albedo/10/p_albedo.png') mask=cv2.imread('/home/jcn/桌面/Oppo/Results_albedo/10/gt_mask.png') relight=albedo/255.0*shading/255.0*mask/255.0 relight=np.asarray(relight*255,dtype=np.uint8) cv2.imshow('relight',relight) cv2.waitKey(0) if __name__=='__main__': compare()

[ "591599635@qq.com" ]

591599635@qq.com

db365ccaef28c337a5d9c69e8c10f082020063ee

c940bcb25e1ed315263b25cbdac49cc4bf92cac1

/env/vkviewer/python/georef/georeferenceutils.py

92de981594a95d6365cfb3fdb3f7e7f015ad83b1

[]

no_license

kwaltr/vkviewer

281a3f1b5b08a18a89f232ecd096cea44faca58b

01d64df0a9266c65e0c3fb223e073ef384281bdc

refs/heads/master

2021-01-16T22:09:41.821531

2014-02-07T17:19:04

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null

UTF-8

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py

''' Created on Oct 15, 2013 @author: mendt ''' import subprocess """ function: parseYSize @param - imageFile {String} - path to a image file @return - {Integer} - value which represents the y size of the file This function parse the x,y size of a given image file """ def parseXYSize(imageFile): # run gdalinfo command on imageFile and catch the response via Popen response = subprocess.Popen("gdalinfo %s"%imageFile, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True) # read the console output line by line for line in response.stdout: if 'Size is ' in line: x,y = line[8:].split(', ') #print "X: %s, Y: %s"%(x,y) return float(x),float(y) """ Functions for getting the gcps. """ def getGCPsAsString(unorderedPixels, verzeichnispfad, georefCoords): pure_gcps = getGCPs(unorderedPixels, verzeichnispfad, georefCoords) str_gcps = [] for tuple in pure_gcps: string = " ".join(str(i) for i in tuple[0])+", "+" ".join(str(i) for i in tuple[1]) str_gcps.append(string) return str_gcps def getGCPs(unorderedPixels, verzeichnispfad, georefCoords): # transformed the pixel coordinates to the georef coordinates by recalculating the y values, # because of a different coordinate origin transformedUnorderedPixels = [] xSize, ySize = parseXYSize(verzeichnispfad) for tuple in unorderedPixels: transformedUnorderedPixels.append((tuple[0],ySize-tuple[1])) # now order the pixel coords so that there sorting represents the order llc, ulc, urc, lrc transformedOrderedPixels = orderPixels(transformedUnorderedPixels) # now create the gcp list try: gcpPoints = [] for i in range(0,len(transformedOrderedPixels)): pixelPoints = (transformedOrderedPixels[i][0],transformedOrderedPixels[i][1]) georefPoints = (georefCoords[i][0],georefCoords[i][1]) gcpPoints.append((pixelPoints,georefPoints)) return gcpPoints except: raise def orderPixels(unorderdPixels): """ Function brings a list of tuples which are representing the clipping parameter from the client in the order llc ulc urc lrc and gives them back at a list. Only valide for pixel coords @param clippingParameterList: list whichcomprises 4 tuples of x,y coordinates """ xList = [] yList = [] for tuple in unorderdPixels: xList.append(tuple[0]) yList.append(tuple[1]) orderedList = [0, 0, 0, 0] xList.sort() yList.sort() for tuple in unorderdPixels: if (tuple[0] == xList[0] or tuple[0] == xList[1]) and \ (tuple[1] == yList[2] or tuple[1] == yList[3]): orderedList[0] = tuple elif (tuple[0] == xList[0] or tuple[0] == xList[1]) and \ (tuple[1] == yList[0] or tuple[1] == yList[1]): orderedList[1] = tuple elif (tuple[0] == xList[2] or tuple[0] == xList[3]) and \ (tuple[1] == yList[0] or tuple[1] == yList[1]): orderedList[2] = tuple elif (tuple[0] == xList[2] or tuple[0] == xList[3]) and \ (tuple[1] == yList[2] or tuple[1] == yList[3]): orderedList[3] = tuple return orderedList """ Functions for creating the commands for command line """ """ function: addGCPToTiff @param - gcPoints {list of gcp} - list of ground control points @param - srid {Integer} - epsg code of coordiante system @param - srcPath {String} @param - destPath {String} @return - command {String} Add the ground control points via gdal_translate to the src tiff file """ def addGCPToTiff(gcPoints,srs,srcPath,destPath): def addGCPToCommandStr(command,gcPoints): for string in gcPoints: command = command+"-gcp "+str(string)+" " return command command = "gdal_translate --config GDAL_CACHEMAX 500 -a_srs epsg:%s "%srs command = addGCPToCommandStr(command,gcPoints) command = command+str(srcPath)+" "+str(destPath) return command """ function: georeferenceTiff @param - shapefilePath {String} @param - srid {Integer} - epsg code of coordiante system @param - srcPath {String} @param - destPath {String} @param - tyoe {String} - if 'fast' there is less compression @return - command {String} Georeferencing via gdalwarp """ def georeferenceTiff(shapefilePath, srid, srcPath, destPath, type=None): if type == 'fast': command = "gdalwarp --config GDAL_CACHEMAX 500 -wm 500 -overwrite -co TILED=YES -cutline %s \ -crop_to_cutline -t_srs epsg:%s %s %s"%(shapefilePath,srid,srcPath,destPath) return command

[ "jacobmendt@googlemail.com" ]

jacobmendt@googlemail.com

a7072cf5db1b5527272336c6191bab4e1770b928

c840f190b3540bf212de2c70563e57da278fa9cb

/hyacinth.py

055e735da50162825883a5c29dfd69fcd0f7242d

[]

no_license

edelooff/hyacinth

b768a871d476dd120f7d2d1acb039a6a9ebf2e19

0a6dd15fa1b1357afa566f924ad27b744582464b

refs/heads/master

2022-04-16T13:24:18.986246

2020-04-01T08:15:36

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from collections import ( Counter, defaultdict) import random import re import sys DESIGN = re.compile(r''' (?P<design>[A-Z]) (?P<size>[SL]) (?P<flowers>(:?\d+[a-z])*) # The specification is fuzzy on 1+ or 0+ (?P<total>\d+)''', re.VERBOSE) DESIGN_FLOWER = re.compile(r''' (?P<count>\d+) (?P<species>[a-z])''', re.VERBOSE) class Pool: def __init__(self): self.common_species = set() self.designers = [] self.flowers = Counter() def add_designer(self, designer): """Adds a BouquetDesigner for the pool size. It also updates the set of known required species, allowing better picking of 'filler' flowers for requested bouquets. """ self.designers.append(designer) self.common_species |= designer.required_flowers.keys() def add_flower(self, species): """Adds a flower of given species to the pool of available flowers.""" self.flowers[species] += 1 for designer in self.designers: if designer.add(species): print(self.create_bouquet(designer)) def create_bouquet(self, designer): """Creates a bouquet according to the given designers design. After creating the bouquet, other designers are informed of the removal of flower species from the shared pool. """ bouquet = designer.create(self.flowers, self.common_species) bouquet_string = designer.stringify_bouquet(bouquet) for bundle in bouquet.items(): for designer in self.designers: designer.remove(*bundle) return bouquet_string class BouquetDesigner: def __init__(self, design, flower_size, required_flowers, bouquet_size): self.design = design self.flower_size = flower_size self.bouquet_size = bouquet_size self.required_flowers = required_flowers self.filler_quantity = bouquet_size - sum(required_flowers.values()) self.available_filler = 0 self.available_flowers = Counter() def add(self, species): """Adds a species of flower to the local availability cache. In addition. this will check whether a bouquet can be created based on the recently seen flowers. If one can be created, this returns True. """ if species in self.required_flowers: self.available_flowers[species] += 1 else: self.available_filler += 1 return self.can_create() def can_create(self): """Checks whether there are enough flowers to create a bouquet. This will check if there is enough quantity of the required flowers and if so, will check if there is enough filler to create a full bouquet. """ for flower, quantity in self.required_flowers.items(): if self.available_flowers[flower] < quantity: return False available = sum(self.available_flowers.values(), self.available_filler) if available >= self.bouquet_size: return True return False def create(self, pool, common_species): """Returns a bouquet (species listing) assembled from the given pool. After picking the required flowers, if additional flowers are needed as filler, this method selects a sample of flowers from the rest of the pool in two steps: 1. Species of flowers used by other BouquetDesigners are avoided so that selection for this bouquet causes the least conflict. 2. A random sample of flowers is picked, to avoid consistently stealing from the same other designers. Randomly selecting also hopefully generates nice and pleasing outcomes for the recipient, though this hypothesis has not been tested in the least ;-) In all cases we bias to picking filler flowers that we have a surplus of. In an ideal world we would have a function that determines the correct bias to introduce here. """ bouquet = Counter() for species, quantity in self.required_flowers.items(): pool[species] -= quantity bouquet[species] += quantity # Pick the remaining flowers if self.filler_quantity: remaining = self.filler_quantity for do_not_pick in (common_species, set()): population = [] for species in pool.keys() ^ do_not_pick: population.extend([species] * pool[species]) sample_size = min(len(population), remaining) for species in random.sample(population, sample_size): pool[species] -= 1 bouquet[species] += 1 remaining -= sample_size if not remaining: break return bouquet def remove(self, species, quantity): """Proceses removal of flowers from the flower pool. This will update either the cache for available required flowers, or if it's a species not -required- for this design, the filler count. """ if species in self.required_flowers: self.available_flowers[species] -= quantity else: self.available_filler -= quantity def stringify_bouquet(self, bouquet): """Returns the formatted bouquet string for this designer.""" flowers = sorted(bouquet.items()) flowerstring = (f'{count}{species}' for species, count in flowers) return f'{self.design}{self.flower_size}{"".join(flowerstring)}' @classmethod def from_specification(cls, design): """Creates a BouquetDesigner instance from a string specification.""" spec = DESIGN.match(design).groupdict() spec_flowers = DESIGN_FLOWER.findall(spec['flowers']) flowers = {species: int(count) for count, species in spec_flowers} return cls(spec['design'], spec['size'], flowers, int(spec['total'])) def read_until_empty(fp): """Yields lines from the given filepointer until an empty line is hit.""" while (line := fp.readline().strip()): yield line def main(): pools = defaultdict(Pool) for design in read_until_empty(sys.stdin): designer = BouquetDesigner.from_specification(design) pools[designer.flower_size].add_designer(designer) for species, size in read_until_empty(sys.stdin): pools[size].add_flower(species) if __name__ == '__main__': main()

[ "elmer.delooff@gmail.com" ]

elmer.delooff@gmail.com

9f3846001c1c354cfeae9bb360ec909db95dbc28

3105edcc2326ed9d49c408833268453a942ba474

/web/modules/api/__init__.py

a164dbb5f0124fc34c059789ae5b31e2ac14489d

[]

no_license

cgle/sumopromo

641e56a14654fbd9368f1653a0d5282726d3d533

1e395eaeeb44acaa23f2ffb63ad68b7ded0799cf

refs/heads/master

2019-08-01T02:54:44.736669

2017-03-31T00:32:26

75,031,942

0

null

UTF-8

Python

false

98

py

from flask import Blueprint bp = Blueprint('api', __name__) from web.modules.api.views import *

[ "cglehh@gmail.com" ]

cglehh@gmail.com

70c1632fe562644b920d482abf735a3bc08211cc

673d7a7b8c43523c459c661c2e360d4398a53b28

/pip_upgrade-runner.py

c2d4d9070ba92561c8da342417040194fe860ecc

[ "MIT" ]

permissive

addisonElliott/pip_upgrade_outdated

19e3c16c5f8910cb20c142842dc2a992fd8801b7

2cf809ff9be2ab4070b75f5959ebcf21d9d34d82

refs/heads/master

2020-04-09T19:03:26.602029

2019-01-15T16:29:57

160,532,458

0

MIT

2018-12-05T14:43:44

2018-12-05T14:43:43

null

UTF-8

Python

false

229

py

#!/usr/bin/env python # -*- coding: utf-8 -*- """Convenience wrapper for running pushover directly from source tree.""" from pip_upgrade_outdated.upgrade_pip_packages import main if __name__ == '__main__': main()

[ "a.h.jaffe@gmail.com" ]

a.h.jaffe@gmail.com

94d24bbab5fe5d3c8c83cd1748d41d53ea82f907

1f40d003bdba15086e0c2e7828398e3e8e6041e3

/robotics/fileread.py

a9bd74f6e7dc443010797d5ad2675de000633796

[]

no_license

qwertpas/pythontests

0bb4982479f998625c0fd9d852df1ef66e3ada71

37fc2b253bf24d210364bacaf53f27347e9d29c1

refs/heads/master

2023-08-09T03:20:35.853236

2023-08-05T16:43:44

177,456,276

0

null

UTF-8

Python

false

1,817

py

import numpy as np import matplotlib.pyplot as plt from matplotlib import collections as mc import re def extract_nums(text): # text.replace('[', ' ') # text.replace(']', ' ') p = re.compile(r'\d+\.\d+') # Compile a pattern to capture float values floats = [float(i) for i in p.findall(text)] # Convert strings to float return np.array(floats) with open('ece470/data.txt') as f: lines = f.readlines() trials = [] for line in lines: if line == '\n': continue if 'start kill' in line: trials.append({}) continue if 'actual pos' in line: nums = list(extract_nums(line)) trials[-1]['actual'] = nums if 'detect pos' in line: nums = list(extract_nums(line)) trials[-1]['detect'] = nums if 'camera err' in line: nums = list(extract_nums(line)) trials[-1]['camera'] = nums actuals = [] detects = [] cameras = [] lines = [] for trial in trials: actuals.append(trial['actual']) detects.append(trial['detect']) cameras.append(trial['camera']) lines.append((trial['actual'], trial['detect'])) actuals = np.array(actuals) detects = np.array(detects) cameras = np.array(cameras) fig, ax = plt.subplots() ax.scatter(x=actuals[:,0], y=actuals[:,1], label='Actual position') ax.scatter(x=detects[:,0], y=detects[:,1], label='Detected position') ax.scatter(x=0, y=0, label='Robot base') # lines = [[(0, 1), (1, 1)], [(2, 3), (3, 3)], [(1, 2), (1, 3)]] lc = mc.LineCollection(lines, color='black', linewidths=1) ax.add_collection(lc) print(len(actuals)) ax.autoscale() accuracy = np.mean(cameras) ax.set_title(f"Cockroach detection accuracy with average error: {np.round(accuracy, 3)} m") ax.set_xlabel("Global X axis (m)") ax.set_ylabel("Global Y axis (m)") ax.legend() plt.show()

[ "cyx3@illinois.edu" ]

cyx3@illinois.edu

97c5e4d3a1702140c12048536f8ec60595290914

b2be86ae60e9698a3daf78fdedacac631dd60cab

/django/user/tests/test_models.py

b0d94ce44fa3f235d6c64af4738666ba937c104d

[]

no_license

TigenTigen/do_you_know

351326388bb1ae9caffed246b8fcdcb8ba7af594

0c6a5b001243fafa1b8382f89ec8bf7aef640f2e

refs/heads/master

2020-06-13T13:26:29.402100

2019-08-07T06:27:37

194,670,788

0

null

UTF-8

Python

false

2,716

py

from django.test import TestCase from user.factories import AdvUserFactory from user.models import AdvUser, signer, dt_engine, mail from django.urls import reverse class TestAdvUserModel(TestCase): def test_str_for_user_created_by_factory(self): user = AdvUserFactory(username='some_user') self.assertEqual(str(user), 'some_user') def test_save_for_user_created_by_social_auth(self): user = AdvUser(username='id123456789', first_name='fn', last_name='ln', password='test_password') user.save() self.assertEqual(user.username, 'fn ln') def test_confirm_for_not_active_user(self): user = AdvUserFactory(is_active=False) self.assertFalse(user.is_active) user.confirm() self.assertTrue(user.is_active) def test_get_email_context(self): user = AdvUserFactory() link = reverse('user:registration_confirmed', kwargs={'sign': signer.sign(user.username)}) context = user.get_email_context() self.assertIsNotNone(context) self.assertIn('confirmation_link', str(context)) self.assertIn(link, str(context)) def test_send_confirmation_email(self): user = AdvUserFactory() link = reverse('user:registration_confirmed', kwargs={'sign': signer.sign(user.username)}) connection = mail.get_connection(backend='django.core.mail.backends.locmem.EmailBackend') outbox = user.send_confirmation_email(connection) self.assertEqual(len(outbox), 1) self.assertEqual(outbox[0].subject, 'Подтверждение регистрации') self.assertIn(link, outbox[0].body) def create_users_for_test(self, number): for i in range(number): user = AdvUserFactory() return AdvUser.objects.all() def test_social_count(self): users = self.create_users_for_test(10) for user in users: if user.social_auth.exists(): self.assertNotEqual(user.social_count(), 0) else: self.assertEqual(user.social_count(), 0) def test_total_points_count(self): users = self.create_users_for_test(10) for user in users: if user.replies.exists(): self.assertNotEqual(user.total_points_count(), 0) else: self.assertEqual(user.total_points_count(), 0) def test_get_points_rating_queryset_manager_with_users_and_no_replies(self): users = self.create_users_for_test(10) full_qs = AdvUser.objects.get_queryset() test_qs = AdvUser.objects.get_points_rating_queryset() self.assertEqual(full_qs.count(), 10) self.assertEqual(test_qs.count(), 0)

[ "Eleriya-25@yandex.ru" ]

Eleriya-25@yandex.ru

1ea1be419f42ba190fe16b9772f1ad7bd9ddae47

afcb1837c0c50fd823964594780111d530a73f8e

/qtjsonschema/__main__.py

d267aee40ac8028b7f4edc49b45fb37004ea312c

[]

no_license

ArtemioGiovanni/pyqtschema

332a60462db5ac2e113256c940b557d77e16c0cf

7d84d8754d039504a5905289a33574abe5318e89

refs/heads/master

2020-05-04T20:38:22.850664

2014-08-15T22:07:40

null

0

null

UTF-8

Python

false

2,848

py

#!/usr/bin/env python """ pyqtschema - Python Qt JSON Schema Tool Generate a dynamic Qt form representing a JSON Schema. Filling the form will generate JSON. """ from PyQt4 import QtCore, QtGui from qtjsonschema.widgets import create_widget class MainWindow(QtGui.QWidget): def __init__(self, parent=None): QtGui.QWidget.__init__(self, parent) self.setWindowTitle("PyQtSchema") # Menu bar # File # Open # Save # -- # Close self.menu = QtGui.QMenuBar(self) self.file_menu = self.menu.addMenu("&File") _action_open = QtGui.QAction("&Open Schema", self) _action_open.triggered.connect(self._handle_open) _action_save = QtGui.QAction("&Save", self) _action_save.triggered.connect(self._handle_save) _action_quit = QtGui.QAction("&Close", self) _action_quit.triggered.connect(self._handle_quit) self.file_menu.addAction(_action_open) self.file_menu.addAction(_action_save) self.file_menu.addSeparator() self.file_menu.addAction(_action_quit) # Scrollable region for schema form self.content_region = QtGui.QScrollArea(self) vbox = QtGui.QVBoxLayout() vbox.addWidget(self.menu) vbox.addWidget(self.content_region) vbox.setContentsMargins(0,0,0,0) hbox = QtGui.QHBoxLayout() hbox.setContentsMargins(0,0,0,0) hbox.addLayout(vbox) self.setLayout(hbox) def process_schema(self, schema): """ Load a schema and create the root element. """ import json import collections with open(schema) as f: _schema = json.loads(f.read(), object_pairs_hook=collections.OrderedDict) if "title" in _schema: self.setWindowTitle("%s - PyQtSchema" % _schema["title"]) self.content_region.setWidget(create_widget(_schema.get("title", "(root)"), _schema)) self.content_region.setWidgetResizable(True) def _handle_open(self): # Open JSON Schema schema = QtGui.QFileDialog.getOpenFileName(self, 'Open Schema', filter="JSON Schema (*.schema *.json)") if schema: self.process_schema(schema) def _handle_save(self): # Save JSON output import json obj = self.content_region.widget().to_json_object() outfile = QtGui.QFileDialog.getSaveFileName(self, 'Save JSON', filter="JSON (*.json)") if outfile: with open(outfile, 'w') as f: f.write(json.dumps(obj)) def _handle_quit(self): # TODO: Check if saved? self.close() if __name__ == "__main__": import sys app = QtGui.QApplication(sys.argv) main_window = MainWindow() main_window.show() sys.exit(app.exec_())

[ "klange@yelp.com" ]

klange@yelp.com

9b577e0397ab602bffa52d7290910ae2afb30a2d

19872c0f261100d3a7a3c770aa16ef719b7f397b

/PythonProjects/crawl_work/crawl_190605_51jop/nationwide_make_urls.py

b5e328efff01c1510da69677c7ba2fb1cb81e680

[]

no_license

enjoqy/PythonProjects

b7951bd13c32ec40842e8c7f7a4b2a32929d3d8b

ae1a4b1a55a7906bb4dd78e8bd43d19decec48ba

refs/heads/master

2020-06-20T03:50:32.814009

2019-07-15T09:17:50

184,964,749

0

null

UTF-8

Python

false

2,367

py

#!/usr/bin/env python # -*- coding:utf-8 -*- # @Time: 2019/5/16 001612:11 # @Author: junhi # java # url = 'https://search.51job.com/list/010000,000000,0000,00,9,99,java,2,1.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&from=&welfare=' # 平面设计 # url = 'https://search.51job.com/list/010000,000000,0000,00,9,99,%25E5%25B9%25B3%25E9%259D%25A2,2,1.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&from=&welfare=' # 大数据 # url = 'https://search.51job.com/list/010000,000000,0000,00,9,99,%25E5%25A4%25A7%25E6%2595%25B0%25E6%258D%25AE,2,1.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&from=&welfare=' # 云计算 url = 'https://search.51job.com/list/010000,000000,0000,00,9,99,%25E4%25BA%2591%25E8%25AE%25A1%25E7%25AE%2597,2,1.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99&degreefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&from=&welfare=' provinces = [ '北京', '上海', '广东省', '深圳', '天津', '重庆', '江苏省', '浙江省', '四川省', '海南省', '福建省', '山东省', '江西省', '广西', '安徽省', '河北', '河南省', '湖北省', '湖南省', '陕西省', '山西省', '黑龙江省', '辽宁省', '吉林省', '云南省', '贵州省', '甘肃省', '内蒙古', '宁夏', '西藏', '新疆', '青海省', ] def get_nationwide_urls(): i = 1 nationwide_java_urls = {} for province in provinces: if i <= 9: province_url = url[0:31] + str(i) + url[32:] print(province_url) else: province_url = url[0:30] + str(i) + url[32:] print(province_url) nationwide_java_urls[province] = province_url i = int(i) if i == 32: break i += 1 return nationwide_java_urls

[ "gdlzhh321@163.com" ]

gdlzhh321@163.com

3b42efb7734e3bf5050c3c3470912a7e738e57a2

456e964284c5e25bff5dd7df7361dd6e20b3ea96

/house_prices_competition.py

d3ec623731ca86a9398cbe1a73111ac24984088c

[]

no_license

huangshizhi/kaggle

069d310909f1e45bd420791ab00405fe2e49a621

d754fd0c152461bf96e8553a8e1fd58b65b82cd6

refs/heads/master

2021-01-16T17:16:36.212132

2017-08-11T07:39:17

100,005,336

0

null

UTF-8

Python

false

5,569

py

# -*- coding: utf-8 -*- """ Created on Wed Aug 9 09:54:45 2017 @author: huangshizhi https://www.dataquest.io/blog/kaggle-getting-started/ """ import pandas as pd import numpy as np #1.加载数据 train = pd.read_csv(r'D:\kaggle\house_prices\data\train.csv') test = pd.read_csv(r'D:\kaggle\house_prices\data\test.csv') import matplotlib.pyplot as plt plt.style.use(style='ggplot') plt.rcParams['figure.figsize'] = (10, 6) #2.探究数据，查看数据的统计特征，skew为分布的不对称度 train.SalePrice.describe() print ("Skew is:", train.SalePrice.skew()) plt.hist(train.SalePrice, color='blue') plt.show() target = np.log(train.SalePrice) print ("Skew is:", target.skew()) plt.hist(target, color='blue') plt.show() #抽取数值型变量特征，Working with Numeric Features numeric_features = train.select_dtypes(include=[np.number]) numeric_features.dtypes #计算协方差矩阵 corr = numeric_features.corr() print (corr['SalePrice'].sort_values(ascending=False)[:5], '\n') print (corr['SalePrice'].sort_values(ascending=False)[-5:]) salePrice_top5 = corr['SalePrice'].sort_values(ascending=False)[:5] salePrice_bottom5 = corr['SalePrice'].sort_values(ascending=False)[-5:] #对房子的整体材料和成品率进行评估 train.OverallQual.unique() quality_pivot = train.pivot_table(index='OverallQual', values='SalePrice', aggfunc=np.median) quality_pivot.plot(kind='bar', color='blue') plt.xlabel('Overall Quality') plt.ylabel('Median Sale Price') plt.xticks(rotation=0) plt.show() #居住面积 plt.scatter(x=train['GrLivArea'], y=target) plt.ylabel('Sale Price') plt.xlabel('Above grade (ground) living area square feet') plt.show() #车库大小 plt.scatter(x=train['GarageArea'], y=target) plt.ylabel('Sale Price') plt.xlabel('Garage Area') plt.show() #去掉异常值之后 train = train[train['GarageArea'] < 1200] plt.scatter(x=train['GarageArea'], y=np.log(train.SalePrice)) plt.xlim(-200,1600) # This forces the same scale as before plt.ylabel('Sale Price') plt.xlabel('Garage Area') plt.show() #Handling Null Values nulls = pd.DataFrame(train.isnull().sum().sort_values(ascending=False)) nulls.columns = ['Null Count'] nulls.index.name = 'Feature' #不包括其他类别的杂项特性 print ("Unique values are:", train.MiscFeature.unique()) #抽取非数值型变量特征 categoricals = train.select_dtypes(exclude=[np.number]) cate_desc = categoricals.describe() print ("Original: \n") print (train.Street.value_counts(), "\n") #One-Hot Encoding train['enc_street'] = pd.get_dummies(train.Street, drop_first=True) test['enc_street'] = pd.get_dummies(train.Street, drop_first=True) print ('Encoded: \n') print (train.enc_street.value_counts()) condition_pivot = train.pivot_table(index='SaleCondition', values='SalePrice', aggfunc=np.median) condition_pivot.plot(kind='bar', color='blue') plt.xlabel('Sale Condition') plt.ylabel('Median Sale Price') plt.xticks(rotation=0) plt.show() def encode(x): return 1 if x == 'Partial' else 0 train['enc_condition'] = train.SaleCondition.apply(encode) test['enc_condition'] = test.SaleCondition.apply(encode) condition_pivot = train.pivot_table(index='enc_condition', values='SalePrice', aggfunc=np.median) condition_pivot.plot(kind='bar', color='blue') plt.xlabel('Encoded Sale Condition') plt.ylabel('Median Sale Price') plt.xticks(rotation=0) plt.show() #填充缺失值 data = train.select_dtypes(include=[np.number]).interpolate().dropna() #测试 sum(data.isnull().sum() != 0) #3.建立回归模型，训练数据 y = np.log(train.SalePrice) X = data.drop(['SalePrice', 'Id'], axis=1) from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split( X, y, random_state=42, test_size=.33) #建模 from sklearn import linear_model lr = linear_model.LinearRegression() model = lr.fit(X_train, y_train) print ("R^2 is: \n", model.score(X_test, y_test)) predictions = model.predict(X_test) from sklearn.metrics import mean_squared_error print ('RMSE is: \n', mean_squared_error(y_test, predictions)) actual_values = y_test plt.scatter(predictions, actual_values, alpha=.75,color='b') #plt.plot(X, y_rbf, color='black', lw=lw, label='RBF model') #alpha helps to show overlapping data plt.xlabel('Predicted Price') plt.ylabel('Actual Price') plt.title('Linear Regression Model') plt.show() for i in range (-2, 3): alpha = 10**i rm = linear_model.Ridge(alpha=alpha) ridge_model = rm.fit(X_train, y_train) preds_ridge = ridge_model.predict(X_test) plt.scatter(preds_ridge, actual_values, alpha=.75, color='b') plt.xlabel('Predicted Price') plt.ylabel('Actual Price') plt.title('Ridge Regularization with alpha = {}'.format(alpha)) overlay = 'R^2 is: {}\nRMSE is: {}'.format( ridge_model.score(X_test, y_test), mean_squared_error(y_test, preds_ridge)) plt.annotate(s=overlay,xy=(12.1,10.6),size='x-large') plt.show() #4.提交结果 submission = pd.DataFrame() submission['Id'] = test.Id feats = test.select_dtypes( include=[np.number]).drop(['Id'], axis=1).interpolate() predictions = model.predict(feats) final_predictions = np.exp(predictions) submission['SalePrice'] = final_predictions submission.head() submission.to_csv('D:\kaggle\house_prices\submission1.csv', index=False)

[ "noreply@github.com" ]

noreply@github.com

969e32c9641599d2ac6f429333a9a104f34dff93

6a33819de8b7aae1388f94dd0142819693da5cdf

/src/kitchen/auth_backend.py

73d1663bd8fa0f64f9a2fe2bf8ad9e972e0a97eb

[]

no_license

goudete/clustr

9ffa7deb9cec4492a7f65c888287976bdbd267f9

0a6904c7f29a3341fef55933cf7d73c8326fdb33

refs/heads/master

2023-04-06T06:39:52.048484

2020-09-19T14:26:27

289,341,808

0

null

UTF-8

Python

false

707

py

from django.contrib.auth.backends import ModelBackend from .models import Kitchen from django.contrib.auth.models import User from restaurant_admin.models import Restaurant class PasswordlessAuthBackend(ModelBackend): """Log in to Django without providing a password, just a cashier code/login number """ def authenticate(self, request, login_number=None): try: rest = Restaurant.objects.filter(kitchen_login_no=login_number).first() return rest except rest.DoesNotExist: return None def get_user(self, user_id): try: return User.objects.get(pk=user_id) except Kitchen.DoesNotExist: return None

[ "rfitch@oxy.edu" ]

rfitch@oxy.edu

0a8927cc6f6bdd664bb45f44bde260086ecb6f86

14dd1fd527bb7e30abd2e4ee64ffb34fe84f1e06

/jzc/postgresInsert.py

ff33ab9255a1b1887bfe3ed360a277bce6e8efcf

[]

no_license

wdwoodee/luozt

7a78e7e66f9bc51159f6f03ca4702f4db17dc580

6a4bc86969f6f2db24d9d7d1446e4a4f97846165

refs/heads/master

2021-05-04T04:46:30.812814

2016-10-14T08:30:19

70,889,537

0

null

UTF-8

Python

false

2,093

py

#_DEBUG = True import psycopg2 import pdb try: conn = psycopg2.connect(database="workspace2", user="postgres", password="postgres", host="127.0.0.1", port="54321") except Exception: print('Get a exception: Connect failed') print("successfully") cur = conn.cursor() try: errLine = 0 with open("test1ip.csv") as f: i = 0 while True: ln = f.readline() if not ln: break items = ln.split(',') if(items[0]=='LAN Segment'): continue if len(items) != 13: errLine += 1 continue #pdb.set_trace() if items[10] == "Device Interface": items[10]=9 elif items[10] == "ARP Table": items[10]=7 elif items[10] == "CDP/LLDP Table": items[10]=8 elif items[10] == "MAC Table": items[10]=6 elif items[10] == "Manual": items[10]=1 else : items[10]=0 #if ( not items[8].isnumeric()) or ( not items[10].isnumeric()) or ( not items[11].isnumeric()) : # pdb.set_trace() # errLine += 1 # continue try: sqlinsert = "select saveoneiprecode_ip2mac_x64 ( false, '%s', '%s', '', '%s', '%s', '%s', '%s', '%s', '%s', %s, %s, %s)" % (items[9], items[0], items[1], items[2], items[4], items[5], items[6], items[7], items[8], items[10], items[11]) cur.execute(sqlinsert) except Exception: print("Insert Err:%s",sqlinsert) errLine += 1 continue i += 1 if ( (i%5)==0 ): #pdb.set_trace() conn.commit() conn.commit() print ("Complete: insert %d , err %d" %( i, errLine) ); conn.close() except Exception: print('Get a exception')

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permissive

mwaiton/TwitterBots

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import calendar from datetime import datetime """Python program to find day of the week for a given date. Also finds current date, which can be used to find the day. """ # To find a day of the week. def find_day(date): day = datetime.strptime(date, '%Y-%m-%d').weekday() return calendar.day_name[day] # To find today's date. def today(): return str(datetime.date(datetime.now())) if __name__ == '__main__': d = today() print("Today is", find_day(d))

[ "bexxmodd@seas.upenn.edu" ]

bexxmodd@seas.upenn.edu

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/Repository/Labelling/Automatically Labelled News/generate_auto_label.py

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from collections import defaultdict from segmentation import SegmentCreator from segmentation import DataPoint import os, datetime, calendar from xml.etree import ElementTree from scipy.stats import pearsonr import pandas import matplotlib.pyplot as plot import matplotlib.ticker as ticker import numpy as np def _get_y_from_eqn(start_index_point:DataPoint, end_index_point:DataPoint, x_value): y = (((end_index_point.get_y() - start_index_point.get_y()) * (x_value - start_index_point.get_x())) / ( end_index_point.get_x() - start_index_point.get_x())) + start_index_point.get_y() return y def get_trend(start_point, end_point): y_difference = end_point.get_y() - start_point.get_y() if y_difference > 0: return "up" elif y_difference < 0: return "down" else: return "neutral" def get_news(): rel_path = "./" company_news_data = dict() for filename in os.listdir(rel_path): if ".xml" in filename and 'unsure' not in filename: company_news_data[filename.replace(".xml", '')] = ElementTree.parse(rel_path + filename).getroot() return company_news_data def get_data(path, draw=False): creator = SegmentCreator(draw=draw) return creator.create_segments(path, 2) def map_segments_to_company(): rel_path = "../../Stock Data/" company_data = dict() for filename in os.listdir(rel_path): if '.csv' in filename: company = filename.replace(".csv", '') company_data[company] = get_data(rel_path + filename) return company_data def get_segment_for_news_release(date, company_trends): for i in range(len(company_trends) - 1): start = company_trends[i] end = company_trends[i + 1] if datetime.datetime.strptime(start.get_date(), "%d/%m/%Y") <= datetime.datetime.strptime(date, "%d/%m/%Y") \ <= datetime.datetime.strptime(end.get_date(), "%d/%m/%Y"): return start, end else: return 0, 0 def auto_generate(news, company_trends, company_name, dates): progress_sentiment_from_number = dict(up='u', down='d', neutral='n') progress_sentiment_to_num = dict(up=1, down=-1, neutral=0) progress_sentiment_trend = defaultdict(int) for news_article in news: date_of_news_release = news_article.get('datetime') date_of_news_release = date_of_news_release.replace(' ET', '') date_of_news_release = datetime.datetime.strptime(date_of_news_release, '%b %d, %Y %I:%M %p').strftime( '%d/%m/%Y') if date_of_news_release in dates: start, end = get_segment_for_news_release(date_of_news_release, company_trends) trend = get_trend(start, end) news_article.attrib['progress_sentiment'] = progress_sentiment_from_number[trend] try: news_article.attrib.pop('feeling_sentiment') except: pass progress_sentiment_trend[date_of_news_release] += progress_sentiment_to_num[trend] # write to file ElementTree.ElementTree(news).write("{}.xml".format(company_name), xml_declaration=True) for day in dates: if not progress_sentiment_trend[str(day)] and not company_name == "ibm": progress_sentiment_trend[str(day)] = 1 elif not progress_sentiment_trend[str(day)] and company_name == "ibm": progress_sentiment_trend[str(day)] = -1 sorted_progress = sorted(progress_sentiment_trend) dateless_progress_trend = [] for day in sorted_progress: dateless_progress_trend.append(progress_sentiment_trend[day]) return dateless_progress_trend def get_projected_prices(segmented_price:list): prices = [] for i in range(len(segmented_price) - 1): start = segmented_price[i] end = segmented_price[i + 1] for x_value in range(start.get_x(), end.get_x()): prices.append(DataPoint(x_value, _get_y_from_eqn(start, end, x_value))) prices.append(segmented_price[-1]) prices.sort(key=lambda x: (x.get_x(), x.get_y())) return prices def aggregate_sentiment(trend): aggregate = [] for i in range(len(trend)): aggregate.append(sum(trend[:i + 1])) return aggregate if __name__ == '__main__': news = get_news() stock_price = map_segments_to_company() for company in stock_price.keys(): print("*******************{0}****************".format(company)) projected_prices = get_projected_prices(stock_price[company]) file_csv = pandas.read_csv("../../Stock Data/{0}.csv".format(company)) data = file_csv[file_csv.columns[2]].tolist() progress_trend = auto_generate(news[company], stock_price[company], company_name=company, dates=file_csv[file_csv.columns[0]].tolist()) correlation, pvalue = pearsonr([price.get_y() for price in projected_prices], aggregate_sentiment(progress_trend)) print("Projected correlation coefficient (progress)", correlation) correlation, pvalue = pearsonr(data, aggregate_sentiment(progress_trend)) print("Actual correlation coefficient (progress)", correlation) if company in []: dates = file_csv[file_csv.columns[0]].tolist() # next we'll write a custom formatter N = len(dates) ind = np.arange(N) # the evenly spaced plot indices def format_date(x, pos=None): thisind = np.clip(int(x + 0.5), 0, N - 1) return datetime.datetime.strptime(dates[thisind], '%d/%m/%Y').strftime( '%Y-%m-%d') fig, ax = plot.subplots() #ax.plot(ind, data, 'o-') ax.xaxis.set_major_formatter(ticker.FuncFormatter(format_date)) fig.autofmt_xdate() plot.plot(ind, [price.get_y() for price in projected_prices], linewidth=4) #plot.plot(ind, aggregate_sentiment(progress_trend)) plot.title(company) plot.show()

[ "onifade.esther@gmail.com" ]

onifade.esther@gmail.com

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/docs/jliu118/reg_s3617_50um.py

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neurodata-cobalt/cobalt

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2021-03-22T04:37:04.196672

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from ndreg import * import matplotlib #import ndio.remote.neurodata as neurodata from intern.remote.boss import BossRemote from intern.resource.boss.resource import * from NeuroDataResource import NeuroDataResource import pickle import numpy as np from requests import HTTPError import time import configparser startTime = time.time() matplotlib.rcParams['figure.figsize'] = (10.0, 8.0) # Assume a valid configuration file exists at .keys/intern.cfg. cfg_file = '.keys/intern.cfg' if cfg_file.startswith('~'): cfg_file = os.path.expanduser('~') + cfg_file[1:] config = configparser.ConfigParser() config.read_file(file(cfg_file)) TOKEN = config['Default']['token'] rmt = BossRemote(cfg_file_or_dict=cfg_file) REFERENCE_COLLECTION = 'ara_2016' REFERENCE_EXPERIMENT = 'sagittal_50um' REFERENCE_COORDINATE_FRAME = 'ara_2016' REFERENCE_CHANNEL = 'average_50um' # Set/Modify these parameters REFERENCE_RESOLUTION = 0 REFERENCE_ISOTROPIC = True # copied code from ndreg because for some reason it wasn't working def setup_experiment_boss(remote, collection, experiment): exp_setup = ExperimentResource(experiment, collection) try: exp_actual = remote.get_project(exp_setup) coord_setup = CoordinateFrameResource(exp_actual.coord_frame) coord_actual= remote.get_project(coord_setup) return (exp_setup, coord_actual) except HTTPError as e: print(e.message) def setup_channel_boss(remote, collection, experiment, channel, channel_type='image', datatype='uint16'): (exp_setup, coord_actual) = setup_experiment_boss(remote, collection, experiment) chan_setup = ChannelResource(channel, collection, experiment, channel_type, datatype=datatype) try: chan_actual = remote.get_project(chan_setup) return (exp_setup, coord_actual, chan_actual) except HTTPError as e: print(e.message) def imgDownload_boss(remote, channel_resource, coordinate_frame_resource, resolution=0, size=[], start=[], isotropic=False): """ Download image with given token from given server at given resolution. If channel isn't specified the first channel is downloaded. """ # TODO: Fix size and start parameters voxel_unit = coordinate_frame_resource.voxel_unit voxel_units = ('nanometers', 'micrometers', 'millimeters', 'centimeters') factor_divide = (1e-6, 1e-3, 1, 10) fact_div = factor_divide[voxel_units.index(voxel_unit)] spacingBoss = [coordinate_frame_resource.x_voxel_size, coordinate_frame_resource.y_voxel_size, coordinate_frame_resource.z_voxel_size] spacing = [x * fact_div for x in spacingBoss] # Convert spacing to mm if isotropic: spacing = [x * 2**resolution for x in spacing] else: spacing[0] = spacing[0] * 2**resolution spacing[1] = spacing[1] * 2**resolution # z spacing unchanged since not isotropic if size == []: size = get_image_size_boss(coordinate_frame_resource, resolution, isotropic) if start == []: start = get_offset_boss(coordinate_frame_resource, resolution, isotropic) #size[2] = 200 #dataType = metadata['channels'][channel]['datatype'] dataType = channel_resource.datatype # Download all image data from specified channel array = remote.get_cutout(channel_resource, resolution, [start[0], size[0]], [start[1], size[1]], [start[2], size[2]]) # Cast downloaded image to server's data type # img = sitk.Cast(sitk.GetImageFromArray(array),ndToSitkDataTypes[dataType]) # convert numpy array to sitk image img = sitk.Cast(sitk.GetImageFromArray(array),sitk.sitkUInt16) # convert numpy array to sitk image # Reverse axes order #img = sitk.PermuteAxesImageFilter().Execute(img,range(dimension-1,-1,-1)) img.SetDirection(identityDirection) img.SetSpacing(spacing) # Convert to 2D if only one slice img = imgCollaspeDimension(img) return img (ref_exp_resource, ref_coord_resource, ref_channel_resource) = setup_channel_boss(rmt, REFERENCE_COLLECTION, REFERENCE_EXPERIMENT, REFERENCE_CHANNEL) refImg = imgDownload_boss(rmt, ref_channel_resource, ref_coord_resource, resolution=REFERENCE_RESOLUTION, isotropic=REFERENCE_ISOTROPIC) refThreshold = imgPercentile(refImg, 0.99) REFERENCE_ANNOTATION_COLLECTION = 'ara_2016' REFERENCE_ANNOTATION_EXPERIMENT = 'sagittal_50um' REFERENCE_ANNOTATION_COORDINATE_FRAME = 'ara_2016' REFERENCE_ANNOTATION_CHANNEL = 'annotation_50um' REFERENCE_ANNOTATION_RESOLUTION = REFERENCE_RESOLUTION REFERENCE_ANNOTATION_ISOTROPIC = True (refAnnotation_exp_resource, refAnnotation_coord_resource, refAnnotation_channel_resource) = setup_channel_boss(rmt, REFERENCE_ANNOTATION_COLLECTION, REFERENCE_ANNOTATION_EXPERIMENT, REFERENCE_ANNOTATION_CHANNEL) refAnnotationImg = imgDownload_boss(rmt, refAnnotation_channel_resource, refAnnotation_coord_resource, resolution=REFERENCE_ANNOTATION_RESOLUTION, isotropic=REFERENCE_ANNOTATION_ISOTROPIC) randValues = np.random.rand(1000,3) randValues = np.concatenate(([[0,0,0]],randValues)) randCmap = matplotlib.colors.ListedColormap(randValues) # Remove missing parts of the brain remove_regions = [507, 212, 220, 228, 236, 244, 151, 188, 196, 204] refAnnoImg = sitk.GetArrayFromImage(refAnnotationImg) remove_indices = np.isin(refAnnoImg, remove_regions) refAnnoImg[remove_indices] = 0 # adjust annotations refAnnoImg_adj = sitk.GetImageFromArray(refAnnoImg) refAnnoImg_adj.SetSpacing(refAnnotationImg.GetSpacing()) refAnnotationImg = refAnnoImg_adj # adjust atlas with corresponding indices # refImg_adj = sitk.GetArrayFromImage(refImg) # refImg_adj[remove_indices] = 0 # refImg_adj = sitk.GetImageFromArray(refImg_adj) # refImg_adj.SetSpacing(refImg.GetSpacing()) # refImg = refImg_adj # Downloading input image # Modify these parameters for your specific experiment SAMPLE_COLLECTION = 'ailey-dev' SAMPLE_EXPERIMENT = 's3617' SAMPLE_COORDINATE_FRAME = 'aileydev_s3617' SAMPLE_CHANNEL = 'channel1' SAMPLE_RESOLUTION = 4 SAMPLE_ISOTROPIC = False sample_exp_resource, sample_coord_resource, sample_channel_resource = setup_channel_boss(rmt, SAMPLE_COLLECTION, SAMPLE_EXPERIMENT, SAMPLE_CHANNEL) sampleImg = imgDownload_boss(rmt, sample_channel_resource, sample_coord_resource, resolution=SAMPLE_RESOLUTION, isotropic=SAMPLE_ISOTROPIC) sampleThreshold = imgPercentile(sampleImg, .999) #Reorienting input image # modify sampleOrient based on your image orientation sampleOrient = "RPI" refOrient = "ASR" sampleImgReoriented = imgReorient(sampleImg, sampleOrient, refOrient) # Downsample images DOWNSAMPLE_SPACING = 0.010 # millimeters spacing = [DOWNSAMPLE_SPACING,DOWNSAMPLE_SPACING,DOWNSAMPLE_SPACING] refImg_ds = sitk.Clamp(imgResample(refImg, spacing), upperBound=refThreshold) sampleImg_ds = sitk.Clamp(imgResample(sampleImgReoriented, spacing), upperBound=sampleThreshold) sampleImgSize_reorient = sampleImgReoriented.GetSize() sampleImgSpacing_reorient= sampleImgReoriented.GetSpacing() # Affine Registration affine = imgAffineComposite(sampleImg_ds, refImg_ds, iterations=200, useMI=True, verbose=True) sampleImg_affine = imgApplyAffine(sampleImgReoriented, affine, size=refImg.GetSize(), spacing=refImg.GetSpacing()) sampleImg_affine_bounded = sitk.Clamp(sampleImg_affine,upperBound=sampleThreshold) refImg_bounded = sitk.Clamp(refImg, upperBound=refThreshold) # LDDMM Registration (field, invField) = imgMetamorphosisComposite(sampleImg_ds, refImg_ds, alphaList=[0.2, 0.1, 0.05], scaleList = 1.0, useMI=True, iterations=100, verbose=True) affineField = affineToField(affine, field.GetSize(), field.GetSpacing()) fieldComposite = fieldApplyField(field, affineField) invAffineField = affineToField(affineInverse(affine), invField.GetSize(), invField.GetSpacing()) invFieldComposite = fieldApplyField(invAffineField, invField) sampleImg_lddmm = imgApplyField(sampleImgReoriented, fieldComposite, size=refImg.GetSize(), spacing=refImg.GetSpacing())

[ "jonathan.jy.liu@gmail.com" ]

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2023-05-25T01:08:30.300715

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""" This software has been developed by github user fndh (http://github.com/fndh) You are free to use, modify and redistribute this software as you please, as long as you follow the conditions listed in the LICENSE file of the github repository indicated. I want to thank you for reading this small paragraph, and please consider sending me a message if you are using this software! It will surely make my day. """ class Blocker: def __init__(self, sql_wrapper): self.sql = sql_wrapper self.sql.execute_and_commit( "CREATE TABLE IF NOT EXISTS blocked_user_ids (user_id);") def block_user(self, user_id): """ Block a user. Updated the blocked table by adding the user ID if it is not already there.""" if not self.is_user_blocked(user_id): self.sql.execute_and_commit( "INSERT INTO blocked_user_ids (user_id) VALUES (?);", (user_id,)) def unblock_user(self, user_id): """ Unblock a user. Remove the blocked user ID from the block table if the ID exists.""" self.sql.execute_and_commit( "DELETE FROM blocked_user_ids WHERE user_id=?;", (user_id,)) def get_blocked_users(self): """Retrieve a list of the currently blocked user IDs.""" rows = self.sql.select_and_fetch( "SELECT user_id FROM blocked_user_ids;") user_ids = [str(user_id[0]) for user_id in rows] return user_ids def is_user_blocked(self, user_id): """Verify if a user ID is stored in the block table.""" matched_ids = self.sql.select_and_fetch( "SELECT COUNT(*) FROM blocked_user_ids WHERE user_id=?", (user_id,)) # Return format from query is [(count,)] return matched_ids[0][0]

[ "xavi_cat36@hotmail.com" ]

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2021-02-28T16:40:30.769008

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import telebot as tb import re import html import urllib.request as req def STATUS_PONTE(): try: URL_PONTE = "https://www.ecoponte.com.br/condicoes-da-via" PATTERN = r'<tr class=.*?-row><td>.*?<td>(.*?)<td><span class=.*?>\s*(\S*?)\s*</span>' answer = req.urlopen(URL_PONTE) answer_bytes = answer.read() answer_html = answer_bytes.decode('utf8') matches = re.findall(PATTERN, answer_html, re.DOTALL) TEXT = "O tráfego na ponte está *{}* no sentido *{}* e *{}* no sentido *{}*." args = [] for name, status in matches: args.append(html.unescape(status)) args.append(html.unescape(name)) if not args: raise ValueError return TEXT.format(*args) except: return "Não tenho informações sobre a ponte agora, lamento." def NEXT_FRESCAO(): pass def FRESCAO_IMG(): return open(r'static/HORARIO_FRESCAO.jpg', 'rb') def START_TEXT(json): if tb.Tempo.morning: return "Bom dia, Niterói!" elif tb.Tempo.evening: return "Boa tarde, Niterói!" else: return "Boa Noite, Niterói!" def UNKNOWN_TEXT(json): return "Comando desconhecido `{text}`".format(json) bot = tb.Bot.load(debug=True, fname='LV760DBOT') bot.START_TEXT = START_TEXT bot.UNKNOWN_TEXT = UNKNOWN_TEXT with bot: @bot.cmd_handler('ponte') @bot.lock_start def ponte(self, update, context): self.debug[0]('[cmd :: ponte]') json = self.parse(update, context) self.debug[1]('[obj :: json]', json) kw = { 'chat_id' : json['chat_id'], 'text' : STATUS_PONTE(), 'parse_mode' : tb.telegram.ParseMode.MARKDOWN, } self.debug[1]('[obj :: kw]', kw) json['bot'].send_message(**kw) @bot.cmd_handler('frescao') @bot.lock_start def frescao(self, update, context): self.debug[0]('[cmd :: frescao]') json = self.parse(update, context) self.debug[1]('[obj :: json]', json) kw = { 'chat_id' : json['chat_id'], 'photo' : FRESCAO_IMG(), } self.debug[1]('[obj :: kw]', kw) json['bot'].send_photo(**kw) @bot.cmd_handler('lv') @bot.lock_start def lv(self, update, context): self.debug[0]('[cmd :: lv]') json = self.parse(update, context) self.debug[1]('[obj :: json]', json) kw = { 'chat_id' : json['chat_id'], 'text' : 'Não sei fazer isso ainda.' } self.debug[1]('[obj :: kw]', kw) json['bot'].send_message(**kw) if __name__ == '__main__': bot.run()

[ "pedromxavier@poli.ufrj.br" ]

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/customer/apps.py

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xxcfun/DJANGO_CRM

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null

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null

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131

py

from django.apps import AppConfig class CustomerConfig(AppConfig): name = 'customer' verbose_name = '客户管理'

[ "55070348+hhdMrLion@users.noreply.github.com" ]

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Aasthaengg/IBMdataset

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S=input() for c in S: if S.count(c)>1: print("no") break else: print("yes")

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VVladislaVLL/geometry-labs

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#!/usr/bin/python import random from time import sleep from matplotlib import pyplot as plt from classes.Point import Point from classes.Vector2d import Vector2d, pi from divideAndRule2 import divide_and_rule, divide_and_rule from utils.binary import binary_test from utils.graph import draw_polygon def reflect(p, vector_coords): # Previous direction v = p.direction # Polygon side q = Vector2d(vector_coords[0], vector_coords[1]) scal = 2 * (Vector2d.scalar_product(v, q) / Vector2d.scalar_product(q, q)) prod = Vector2d.s_mult(q, scal) new_direction = Vector2d.s_minus(prod, v) return new_direction def plot_task(rectangle, points, points_y): MIN_DISTANSE = 0.5 plt.ion() s = 1 while s: plt.clf() draw_polygon(rectangle) clash_flag = divide_and_rule(points, points_y) if clash_flag[1] <= MIN_DISTANSE: clash_flag[0][0].reflect_direction() clash_flag[0][1].reflect_direction() for i in points: flag_binary = binary_test(rectangle, i.get_next_state_circle(MIN_DISTANSE / 2))['flag'] if not flag_binary: coords_binary = binary_test(rectangle, i.get_next_state_circle(MIN_DISTANSE / 2))['points'] new_direction = reflect(i, coords_binary) i.direction = new_direction for i in points: i.move() plt.scatter(i.x, i.y, s=MIN_DISTANSE / 2 * 750, marker='o', c='g') plt.draw() plt.gcf().canvas.flush_events() sleep(0.002) plt.show() plt.ioff() plt.show() if __name__ == '__main__': # Rectangle rectangle = [Point(1, 1), Point(1, 10), Point(15, 10), Point(15, 1)] # Our points points_set = [Point(2, 2), Point(2, 3), Point(4, 2), Point(4, 5), Point(4, 8), Point(6, 2), Point(6,9), Point(8, 5), Point(10,3), Point(11,9), Point(12, 5), Point(12,8)] points_set.sort(key=lambda point: (point.x, point.y)) points_set_y = points_set.copy() points_set_y.sort(key=lambda point: (point.y, point.x)) # min_dist = divide_and_rule(points_set) # print(min_dist) # Set points direction for point in points_set: point.set_direction(Vector2d.get_vector(random.uniform(0, 2 * pi), 0.09)) plot_task(rectangle, points_set, points_set_y)

[ "vlad2002kochurko@gmail.com" ]

vlad2002kochurko@gmail.com

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RobinHou0516/Homework

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name='Robin Kawensanna Smartest Unrivalled' age='14' grade='9th' grade.title school='JXFLS' print('My name is '+name+'. I am a '+age+' year old '+grade+' grader at '+school+'.')

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Robinhou0516@gamil.com

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/utils/seg_metrics.py

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NguyenNhan999/Joint-Motion-Estimation-and-Segmentation

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2022-12-03T10:02:36.489257

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# -*- coding: utf-8 -*- """ Created on Thu Feb 22 17:53:58 2018 @author: cq615 """ import numpy as np, cv2 def np_categorical_dice(pred, truth, k): # Dice overlap metric for label value k A = (pred == k).astype(np.float32) B = (truth == k).astype(np.float32) return 2 * np.sum(A * B) / (np.sum(A) + np.sum(B)) def distance_metric(seg_A, seg_B, dx, k): # Measure the distance errors between the contours of two segmentations # The manual contours are drawn on 2D slices. # We calculate contour to contour distance for each slice. table_md = [] table_hd = [] K, X, Y, Z = seg_A.shape for z in range(Z): # Binary mask at this slice slice_A = seg_A[k, :, :, z].astype(np.uint8) slice_B = seg_B[k, :, :, z].astype(np.uint8) # The distance is defined only when both contours exist on this slice if np.sum(slice_A) > 0 and np.sum(slice_B) > 0: # Find contours and retrieve all the points contours, _ = cv2.findContours(cv2.inRange(slice_A, 1, 1), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) pts_A = contours[0] for i in range(1, len(contours)): pts_A = np.vstack((pts_A, contours[i])) contours, _ = cv2.findContours(cv2.inRange(slice_B, 1, 1), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) pts_B = contours[0] for i in range(1, len(contours)): pts_B = np.vstack((pts_B, contours[i])) # Distance matrix between point sets M = np.zeros((len(pts_A), len(pts_B))) for i in range(len(pts_A)): for j in range(len(pts_B)): M[i, j] = np.linalg.norm(pts_A[i, 0] - pts_B[j, 0]) # Mean distance and hausdorff distance md = 0.5 * (np.mean(np.min(M, axis=0)) + np.mean(np.min(M, axis=1))) * dx hd = np.max([np.max(np.min(M, axis=0)), np.max(np.min(M, axis=1))]) * dx table_md += [md] table_hd += [hd] # Return the mean distance and Hausdorff distance across 2D slices mean_md = np.mean(table_md) if table_md else None mean_hd = np.mean(table_hd) if table_hd else None return mean_md, mean_hd

[ "c.qin15@imperial.ac.uk" ]

c.qin15@imperial.ac.uk

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/main.py

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wqq1136883696/UbuntuPython

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2022-12-18T22:48:33.258697

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# This is a sample Python script. # Press Shift+F10 to execute it or replace it with your code. # Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings. def print_hi(name): # Use a breakpoint in the code line below to debug your script. print(f'Hi, {name}') # Press Ctrl+F8 to toggle the breakpoint. print("{}, nice to meet you!".format(name)) # Press the green button in the gutter to run the script. if __name__ == '__main__': print_hi('PyCharm') # See PyCharm help at https://www.jetbrains.com/help/pycharm/

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2020-07-24T13:59:33.410511

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# Copyright (c) SenseTime. All Rights Reserved. from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from pysot.models.sa.sa import sablock SABLOCKS = { 'sablock': sablock, } def get_sa(name, **kwargs): return SABLOCKS[name](**kwargs)

[ "csxuandongzhao@gmail.com" ]

csxuandongzhao@gmail.com

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/Python/evenodd.py

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shubham1592/force

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for x in range(1,51): print(2*x)

[ "pi.shubham1592@gmail.com" ]

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LauraGwilliams/arab_pred

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import sys import math from collections import Counter from collections import defaultdict #NOTE -- 'CV' -- corresponds to the element of interest, and # -- 'C' -- corresponds to the element of interest -1 #sets up the script arguments# phoneme_of_interest = sys.argv[1] #create empty dict that we'll fill after# MyDict = defaultdict(int) #figures out if it's a linear or mophemic analysis, reads the correct files and sets up the output file and folder# if '_' in phoneme_of_interest: C_in = open(phoneme_of_interest[:-2] + '_counts_final.txt','r').read().split('\n') folder_path = 'log2_surp_dicts/surp-dict-' print 'conducting morphemic analysis..' else: C_in = open(phoneme_of_interest[:-1] + '_counts_final.txt','r').read().split('\n') print 'conducting linear analysis..' folder_path = 'log2_surp_dicts/surp-dict-' #open and read the CV counts, then if the first element of CV is in C, print the frequency of both C and CV# with open(phoneme_of_interest + '_counts_final.txt','r') as CV_in: for CV in CV_in: for C in C_in: length = len(phoneme_of_interest) if '_' in phoneme_of_interest: if len(phoneme_of_interest) >=4: cv = ''.join(CV[0:int(length)-3]) if cv in C and ',' not in CV[0]: CV = CV.split(',') C = C.split(',') print CV print "CV" print float(CV[1]) print C print "C" print float(C[1]) print "cond_prob" cond_prob = float(CV[1])/float(C[1]) surp = math.log(float(cond_prob),2) print cond_prob MyDict[CV[0]] = surp print "---" else: cv = ''.join(CV[0:int(length)-2]) if cv in C and ',' not in CV[0]: CV = CV.split(',') C = C.split(',') print CV print "CV" print float(CV[1]) print C print "C" print float(C[1]) print "cond_prob" cond_prob = float(CV[1])/float(C[1]) surp = math.log(float(cond_prob),2) print cond_prob MyDict[CV[0]] = surp print "---" else: cv = ''.join(CV[0:int(length)-1]) #cv = ''.join(CV[0]) #cv = cv[:-1] #cv = ''.join(CV[0:2]) if cv in C and ',' not in CV[0]: #now, get the conditional probability of the second vowel, from that compute surprisal by making it log, then put it in the dict #(the key is the CV, and the number is the surprisal # #first, split the dict into its first and second elements i.e., 'ka' '34' CV = CV.split(',') C = C.split(',') #next, get the conditional probability from the second elements of the list (the number) and work out the surprisal print CV print "CV" print float(CV[1]) print C print "C" print float(C[1]) print "cond_prob" cond_prob = float(CV[1])/float(C[1]) surp = math.log(float(cond_prob),2) print cond_prob MyDict[CV[0]] = surp print "---" #now we just save the dict to file# file = open(folder_path + phoneme_of_interest + '.txt', 'w') for key in MyDict: file.write(key + ',' + str(MyDict[key]) + '\n') file.close() file = open(folder_path + phoneme_of_interest + '.txt', 'w') for key in MyDict: file.write(key + ',' + str(MyDict[key]) + '\n') file.close() #finally print out all words with a surprisal greater than 5: highest_surp = dict((k, v) for k, v in MyDict.items() if v <= -5) print "items with suprisal greater than 5:" print highest_surp #and less than 1: highest_surp = dict((k, v) for k, v in MyDict.items() if v >= -2) print "items with suprisal less than 2:" print highest_surp

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/constants.py

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RGologorsky/CS-182-final-project

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2022-09-23T03:33:08.991790

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MULTIVAR = set(["AM21B","MATH21B", "MATH23B","MATH25A", "MATH55A"]) LINALG = set(["AM21A","MATH21A", "MATH23A","MATH25B", "MATH55B"]) STAT110 = "STAT110" CS050 = "CS050" CS051 = "CS051" CS061 = "CS061" CS020 = "CS020" CS121 = "CS121" CS124 = "CS124" CS181 = "CS181" CS182 = "CS182" MATH23A = "MATH23A" MATH25B = "MATH25B" MATH25A = "MATH25A" MATH25B = "MATH25B" MATH55A = "MATH55A" MATH55B = "MATH55B" courses = { 'AM106': {'CLOCKDAYS': 'MW', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'AM106', 'DAYS': set(['M', 'W']), 'END': 1559, 'ENROLLMENT': 31, 'PREREQS': [set(['AM21B', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A']), set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B'])], 'Q': 3.7, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 6.6}, 'AM107': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'AM107', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 23, 'PREREQS': [], 'Q': 4.3, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 8.1}, 'AM120': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'AM120', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 108, 'PREREQS': [set(['AM21B', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A']), set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B']), 'CS050'], 'Q': 4.3, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 6.9}, 'AM121': {'CLOCKDAYS': 'MW', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'AM121', 'DAYS': set(['M', 'W']), 'END': 1129, 'ENROLLMENT': 73, 'PREREQS': [set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B']), 'STAT110'], 'Q': 3.8, 'SEMESTER': 'F', 'START': 1000, 'WORKLOAD': 10.3}, 'AM21A': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1159AM', 'CLOCKSTART': '1100AM', 'COURSE': 'AM21A', 'DAYS': set(['F', 'M', 'W']), 'END': 1159, 'ENROLLMENT': 169, 'PREREQS': [], 'Q': 3.8, 'SEMESTER': 'F', 'START': 1100, 'WORKLOAD': 7.7}, 'AM21B': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1159AM', 'CLOCKSTART': '1100AM', 'COURSE': 'AM21B', 'DAYS': set(['F', 'M', 'W']), 'END': 1159, 'ENROLLMENT': 79, 'PREREQS': [set(['AM21A', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A'])], 'Q': 3.3, 'SEMESTER': 'S', 'START': 1100, 'WORKLOAD': 9.2}, 'CS001': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS001', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 76, 'PREREQS': [], 'Q': 3.8, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 7.4}, 'CS020': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1059AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS020', 'DAYS': set(['F', 'M', 'W']), 'END': 1059, 'ENROLLMENT': 58, 'PREREQS': [], 'Q': 4.4, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 5.0}, 'CS050': {'CLOCKDAYS': 'F', 'CLOCKEND': '1159AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS050', 'DAYS': set(['F']), 'END': 1159, 'ENROLLMENT': 750, 'PREREQS': [], 'Q': 3.5, 'SEMESTER': 'F', 'START': 1000, 'WORKLOAD': 15.2}, 'CS051': {'CLOCKDAYS': 'T', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS051', 'DAYS': set(['T']), 'END': 1429, 'ENROLLMENT': 348, 'PREREQS': ['CS050'], 'Q': 3.4, 'SEMESTER': 'S', 'START': 1300, 'WORKLOAD': 13.9}, 'CS061': {'CLOCKDAYS': 'TR', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS061', 'DAYS': set(['R', 'T']), 'END': 1559, 'ENROLLMENT': 129, 'PREREQS': ['CS050'], 'Q': 4.2, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 15.8}, 'CS091R': {'CLOCKDAYS': '', 'CLOCKEND': '', 'CLOCKSTART': '', 'COURSE': 'CS091R', 'DAYS': set([]), 'END': -1, 'ENROLLMENT': 5, 'PREREQS': [], 'Q': 3.879545455, 'SEMESTER': 'F', 'START': -1, 'WORKLOAD': 11.04772727}, 'CS091R': {'CLOCKDAYS': '', 'CLOCKEND': '', 'CLOCKSTART': '', 'COURSE': 'CS091R', 'DAYS': set([]), 'END': -1, 'ENROLLMENT': 5, 'PREREQS': [], 'Q': 3.879545455, 'SEMESTER': 'S', 'START': -1, 'WORKLOAD': 11.04772727}, 'CS096': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '559PM', 'CLOCKSTART': '400PM', 'COURSE': 'CS096', 'DAYS': set(['F', 'M', 'W']), 'END': 1759, 'ENROLLMENT': 2, 'PREREQS': [set(['CS051', 'CS061'])], 'Q': 4.5, 'SEMESTER': 'F', 'START': 1600, 'WORKLOAD': 3.0}, 'CS105': {'CLOCKDAYS': 'TR', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS105', 'DAYS': set(['R', 'T']), 'END': 1429, 'ENROLLMENT': 37, 'PREREQS': [], 'Q': 4.7, 'SEMESTER': 'F', 'START': 1300, 'WORKLOAD': 5.2}, 'CS108': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1259PM', 'CLOCKSTART': '1130AM', 'COURSE': 'CS108', 'DAYS': set(['R', 'T']), 'END': 1259, 'ENROLLMENT': 36, 'PREREQS': [], 'Q': 4.8, 'SEMESTER': 'F', 'START': 1130, 'WORKLOAD': 4.1}, 'CS109A': {'CLOCKDAYS': 'MW', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS109A', 'DAYS': set(['M', 'W']), 'END': 1429, 'ENROLLMENT': 131, 'PREREQS': ['CS050'], 'Q': 3.1, 'SEMESTER': 'F', 'START': 1300, 'WORKLOAD': 9.1}, 'CS109B': {'CLOCKDAYS': 'MW', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS109B', 'DAYS': set(['M', 'W']), 'END': 1429, 'ENROLLMENT': 79, 'PREREQS': ['CS109A'], 'Q': 3.5, 'SEMESTER': 'S', 'START': 1300, 'WORKLOAD': 11.9}, 'CS121': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS121', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 169, 'PREREQS': [set(['CS020', 'MATH23A', 'MATH25A', 'MATH25B', 'MATH55A', 'MATH55B'])], 'Q': 3.2, 'SEMESTER': 'F', 'START': 1000, 'WORKLOAD': 9.5}, 'CS124': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1259PM', 'CLOCKSTART': '1130AM', 'COURSE': 'CS124', 'DAYS': set(['R', 'T']), 'END': 1259, 'ENROLLMENT': 217, 'PREREQS': ['CS121'], 'Q': 3.9, 'SEMESTER': 'S', 'START': 1130, 'WORKLOAD': 15.2}, 'CS126': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS126', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 30, 'PREREQS': ['STAT110', 'CS124'], 'Q': 3.0, 'SEMESTER': 'F', 'START': 1000, 'WORKLOAD': 8.0}, 'CS127': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS127', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 19, 'PREREQS': [set(['CS121', 'CS124'])], 'Q': 4.5, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 12.2}, 'CS134': {'CLOCKDAYS': 'MW', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS134', 'DAYS': set(['M', 'W']), 'END': 1559, 'ENROLLMENT': 167, 'PREREQS': ['STAT110', set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B']), set(['AM21B', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A'])], 'Q': 3.5, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 9.3}, 'CS136': {'CLOCKDAYS': 'MW', 'CLOCKEND': '1259PM', 'CLOCKSTART': '1130AM', 'COURSE': 'CS136', 'DAYS': set(['M', 'W']), 'END': 1259, 'ENROLLMENT': 57, 'PREREQS': [set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B']), 'CS051', 'STAT110', set(['CS181', 'CS182'])], 'Q': 4.6, 'SEMESTER': 'F', 'START': 1130, 'WORKLOAD': 9.8}, 'CS141': {'CLOCKDAYS': 'MW', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS141', 'DAYS': set(['M', 'W']), 'END': 1129, 'ENROLLMENT': 19, 'PREREQS': ['CS050'], 'Q': 4.0, 'SEMESTER': 'F', 'START': 1000, 'WORKLOAD': 10.5}, 'CS143': {'CLOCKDAYS': 'MW', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS143', 'DAYS': set(['M', 'W']), 'END': 1559, 'ENROLLMENT': 43, 'PREREQS': ['CS050'], 'Q': 2.8, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 5.5}, 'CS144R': {'CLOCKDAYS': 'MW', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS144R', 'DAYS': set(['M', 'W']), 'END': 1559, 'ENROLLMENT': 11, 'PREREQS': [], 'Q': 4.2, 'SEMESTER': 'S', 'START': 1430, 'WORKLOAD': 5.2}, 'CS144R': {'CLOCKDAYS': 'MW', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS144R', 'DAYS': set(['M', 'W']), 'END': 1559, 'ENROLLMENT': 11, 'PREREQS': [], 'Q': 4.2, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 5.2}, 'CS148': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1259PM', 'CLOCKSTART': '1130AM', 'COURSE': 'CS148', 'DAYS': set(['R', 'T']), 'END': 1259, 'ENROLLMENT': 4, 'PREREQS': [], 'Q': 5.0, 'SEMESTER': 'S', 'START': 1130, 'WORKLOAD': 5.7}, 'CS152': {'CLOCKDAYS': 'TR', 'CLOCKEND': '1129AM', 'CLOCKSTART': '1000AM', 'COURSE': 'CS152', 'DAYS': set(['R', 'T']), 'END': 1129, 'ENROLLMENT': 19, 'PREREQS': ['CS051', 'CS121'], 'Q': 3.4, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 6.6}, 'CS165': {'CLOCKDAYS': 'MW', 'CLOCKEND': '529PM', 'CLOCKSTART': '400PM', 'COURSE': 'CS165', 'DAYS': set(['M', 'W']), 'END': 1729, 'ENROLLMENT': 32, 'PREREQS': ['CS051', 'CS061'], 'Q': 4.5, 'SEMESTER': 'F', 'START': 1600, 'WORKLOAD': 10.5}, 'CS171': {'CLOCKDAYS': 'TR', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS171', 'DAYS': set(['R', 'T']), 'END': 1559, 'ENROLLMENT': 97, 'PREREQS': ['CS050'], 'Q': 3.7, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 9.8}, 'CS175': {'CLOCKDAYS': 'MW', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS175', 'DAYS': set(['M', 'W']), 'END': 1429, 'ENROLLMENT': 13, 'PREREQS': [set(['CS051', 'CS061']), set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B'])], 'Q': 4.0, 'SEMESTER': 'F', 'START': 1300, 'WORKLOAD': 9.5}, 'CS179': {'CLOCKDAYS': 'TR', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'CS179', 'DAYS': set(['R', 'T']), 'END': 1559, 'ENROLLMENT': 59, 'PREREQS': ['CS050'], 'Q': 3.6, 'SEMESTER': 'S', 'START': 1430, 'WORKLOAD': 6.8}, 'CS181': {'CLOCKDAYS': 'MW', 'CLOCKEND': '1029AM', 'CLOCKSTART': '900AM', 'COURSE': 'CS181', 'DAYS': set(['M', 'W']), 'END': 1029, 'ENROLLMENT': 215, 'PREREQS': ['CS051', 'STAT110', set(['AM21B', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A']), set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B'])], 'Q': 3.6, 'SEMESTER': 'S', 'START': 900, 'WORKLOAD': 16.8}, 'CS182': {'CLOCKDAYS': 'TR', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS182', 'DAYS': set(['R', 'T']), 'END': 1429, 'ENROLLMENT': 84, 'PREREQS': ['CS051', 'STAT110'], 'Q': 3.9, 'SEMESTER': 'F', 'START': 1300, 'WORKLOAD': 7.2}, 'CS189': {'CLOCKDAYS': 'F', 'CLOCKEND': '359PM', 'CLOCKSTART': '100PM', 'COURSE': 'CS189', 'DAYS': set(['F']), 'END': 1559, 'ENROLLMENT': 20, 'PREREQS': [set(['CS181', 'CS182'])], 'Q': 3.6, 'SEMESTER': 'S', 'START': 1300, 'WORKLOAD': 13.9}, 'CS191': {'CLOCKDAYS': 'MW', 'CLOCKEND': '1029AM', 'CLOCKSTART': '900AM', 'COURSE': 'CS191', 'DAYS': set(['M', 'W']), 'END': 1029, 'ENROLLMENT': 20, 'PREREQS': [], 'Q': 3.0, 'SEMESTER': 'S', 'START': 900, 'WORKLOAD': 8.0}, 'ES50': {'CLOCKDAYS': 'MW', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'ES50', 'DAYS': set(['M', 'W']), 'END': 1559, 'ENROLLMENT': 85, 'PREREQS': [], 'Q': 3.5, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 6.6}, 'ES52': {'CLOCKDAYS': 'MW', 'CLOCKEND': '229PM', 'CLOCKSTART': '100PM', 'COURSE': 'ES52', 'DAYS': set(['M', 'W']), 'END': 1429, 'ENROLLMENT': 53, 'PREREQS': [], 'Q': 3.9, 'SEMESTER': 'F', 'START': 1300, 'WORKLOAD': 9.8}, 'MATH154': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1259PM', 'CLOCKSTART': '1200PM', 'COURSE': 'MATH154', 'DAYS': set(['F', 'M', 'W']), 'END': 1259, 'ENROLLMENT': 30, 'PREREQS': [set(['AM21B', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A']), set(['AM21A', 'MATH21A', 'MATH23A', 'MATH25B', 'MATH55B'])], 'Q': 4.5, 'SEMESTER': 'S', 'START': 1200, 'WORKLOAD': 10.1}, 'MATH21A': {'CLOCKDAYS': '', 'CLOCKEND': '', 'CLOCKSTART': '', 'COURSE': 'MATH21A', 'DAYS': set([]), 'END': -1, 'ENROLLMENT': 237, 'PREREQS': [], 'Q': 3.6, 'SEMESTER': 'FS', 'START': -1, 'WORKLOAD': 10.0}, 'MATH21B': {'CLOCKDAYS': '', 'CLOCKEND': '', 'CLOCKSTART': '', 'COURSE': 'MATH21B', 'DAYS': set([]), 'END': -1, 'ENROLLMENT': 320, 'PREREQS': [], 'Q': 3.5, 'SEMESTER': 'FS', 'START': -1, 'WORKLOAD': 8.4}, 'MATH23A': {'CLOCKDAYS': 'F', 'CLOCKEND': '159PM', 'CLOCKSTART': '100PM', 'COURSE': 'MATH23A', 'DAYS': set(['F']), 'END': 1359, 'ENROLLMENT': 59, 'PREREQS': [], 'Q': 3.4, 'SEMESTER': 'F', 'START': 1300, 'WORKLOAD': 10.5}, 'MATH23B': {'CLOCKDAYS': 'TR', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'MATH23B', 'DAYS': set(['R', 'T']), 'END': 1559, 'ENROLLMENT': 59, 'PREREQS': [set(['MATH23A', 'MATH25A'])], 'Q': 3.9, 'SEMESTER': 'S', 'START': 1430, 'WORKLOAD': 8.8}, 'MATH25A': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1059AM', 'CLOCKSTART': '1000AM', 'COURSE': 'MATH25A', 'DAYS': set(['F', 'M', 'W']), 'END': 1059, 'ENROLLMENT': 45, 'PREREQS': [], 'Q': 4.6, 'SEMESTER': 'F', 'START': 1000, 'WORKLOAD': 17.1}, 'MATH25B': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1059AM', 'CLOCKSTART': '1000AM', 'COURSE': 'MATH25B', 'DAYS': set(['F', 'M', 'W']), 'END': 1059, 'ENROLLMENT': 38, 'PREREQS': [set(['MATH25A','MATH55A'])], 'Q': 3.9, 'SEMESTER': 'S', 'START': 1000, 'WORKLOAD': 16.3}, 'MATH55A': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1159AM', 'CLOCKSTART': '1100AM', 'COURSE': 'MATH55A', 'DAYS': set(['F', 'M', 'W']), 'END': 1159, 'ENROLLMENT': 11, 'PREREQS': [], 'Q': 3.7, 'SEMESTER': 'F', 'START': 1100, 'WORKLOAD': 30.2}, 'MATH55B': {'CLOCKDAYS': 'MWF', 'CLOCKEND': '1159AM', 'CLOCKSTART': '1100AM', 'COURSE': 'MATH55B', 'DAYS': set(['F', 'M', 'W']), 'END': 1159, 'ENROLLMENT': 12, 'PREREQS': ['MATH55A'], 'Q': 4.0, 'SEMESTER': 'S', 'START': 1100, 'WORKLOAD': 45.2}, 'STAT110': {'CLOCKDAYS': 'TR', 'CLOCKEND': '359PM', 'CLOCKSTART': '230PM', 'COURSE': 'STAT110', 'DAYS': set(['R', 'T']), 'END': 1559, 'ENROLLMENT': 444, 'PREREQS': [set(['AM21B', 'MATH21B', 'MATH23B', 'MATH25A', 'MATH55A'])], 'Q': 4.3, 'SEMESTER': 'F', 'START': 1430, 'WORKLOAD': 10.6}, } # 'STAT121A': {'CLOCKDAYS': 'MW', # 'CLOCKEND': '229PM', # 'CLOCKSTART': '100PM', # 'COURSE': 'STAT121A', # 'DAYS': set(['M', 'W']), # 'END': 1429, # 'ENROLLMENT': 131, # 'PREREQS': [], # 'Q': 3.1, # 'SEMESTER': 'F', # 'START': 1300, # 'WORKLOAD': 9.1}, # 'STAT121B': {'CLOCKDAYS': 'MW', # 'CLOCKEND': '229PM', # 'CLOCKSTART': '100PM', # 'COURSE': 'STAT121B', # 'DAYS': set(['M', 'W']), # 'END': 1429, # 'ENROLLMENT': 25, # 'PREREQS': [], # 'Q': 3.5, # 'SEMESTER': 'S', # 'START': 1300, # 'WORKLOAD': 5}

[ "rgologorsky@college.harvard.edu" ]

rgologorsky@college.harvard.edu

783fdd25c10199746426d1f7b3e87e009964b1e1

d4a5462b2cd2eff99da6ad5147b5423c819ae731

/1072.py

7cde2b4cbdcb7fcb593e7f072f7089b72b0530d7

[]

no_license

Rafesz/URI_solutions_py

3a61e6b0b571a03857f1c4efb54546edb2a0fb6a

62a9f8227523e409afa9d506df66516ef9b48079

refs/heads/main

2023-08-11T20:55:04.267913

2021-09-21T22:25:50

402,085,340

0

null

UTF-8

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false

816

py

# Leia um valor inteiro N. Este valor será a quantidade de valores inteiros X que serão lidos em seguida. # Mostre quantos destes valores X estão dentro do intervalo [10,20] e quantos estão fora do intervalo, mostrando essas informações. # Entrada # A primeira linha da entrada contém um valor inteiro N (N < 10000), que indica o número de casos de teste. # Cada caso de teste a seguir é um valor inteiro X (-107 < X <107). # Saída # Para cada caso, imprima quantos números estão dentro (in) e quantos valores estão fora (out) do intervalo. i = 0 contadorIn = 0 contaodorOut = 0 n = int(input()) while(i < n): valor = int(input()) if(10 <= valor <= 20): contadorIn += 1 else: contaodorOut += 1 i += 1 print("{} in\n{} out".format(contadorIn, contaodorOut))

[ "noreply@github.com" ]

noreply@github.com

7535a94b63e52647dad6aafa93a3c78cf10f5ec2

4833d5ebc9c84acd95059eb83524923dd9aebc83

/asyncio_helpers.py

d1cf4ebc364da783fd56b5ca077a0af4b7695b57

[]

no_license

bdutro/chromium-proxy

24738f5f7b088c8bae55ba398c71ac82b928b09f

334fb3bd006a3f26b553d354d2830ba3b0328b0b

refs/heads/main

2023-02-20T03:07:22.911243

2021-01-08T18:45:50

327,177,721

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null

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false

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py

import asyncio import sys if sys.version_info < (3, 7): def asyncio_run(p): loop = asyncio.get_event_loop() return loop.run_until_complete(p) else: def asyncio_run(p): return asyncio.run(p)

[ "brett.dutro@gmail.com" ]

brett.dutro@gmail.com

eb268714e1d62798cbe61cec0f6af724ee53d4f6

a163c2cec4d942212bd5bcd25a8759a7da570b7f

/ChatBot/main.py

f54e258b6b94e4253d6b6b77a9eb96e43cdb92e0

[]

no_license

cainanalves/computational_intelligence

1daa4c3f153563e11b0d8410d6429648b48b57f1

503dfeb9db3dc18725d30587f968ed86ece53d7d

refs/heads/master

2021-08-23T10:47:22.650121

2017-12-04T15:42:48

null

0

null

UTF-8

Python

false

674

py

#!/usr/bin/python3.5 # encoding: utf-8 from chatterbot.trainers import ListTrainer from chatterbot import ChatBot import os #Read_only=True --> Dizer ao bot que eu já o treinei e não precisa treinar novamente. bot = ChatBot("Teste")#read_only=True) bot.set_trainer(ListTrainer) for arq in os.listdir("arqs"): chats = open("arqs/"+arq,"rb").readlines() bot.train(chats) conversa = open("arqs/conversa", "a") while True: resq = input("Você: ") conversa.write(str(resq)+"\n") resp = bot.get_response(resq) conversa.write(str(resp)+"\n") print("Bot: "+ str(resp)) if (("chega de papo" in str(resq)) or ("chega de papo" in str(resp))): break conversa.close()

[ "cainan.teixeira10@hotmail.com" ]

cainan.teixeira10@hotmail.com

417047a76d6ad25de43fc2acde8e4c37efc3ab2e

62187abac35eec54f56d956ced4aae18be5c667d

/pilta.py

e9eff95395e2224f94d442902c52ef9d71ff2a61

[]

no_license

Gary345/Ivan_Arratia_1559

5aea66e102bcc49549f680413d5da00275079c72

fafcaa3c3c8e11f4264672dccee13a477a138bc0

refs/heads/main

2023-01-06T14:34:30.906982

2020-11-11T06:31:28

300,461,243

0

null

UTF-8

Python

false

228

py

pila =[3,4,5] # pila de inicio con un arreglo print (pila) #impresion de la pila #345 pila.append(7) pila.append(8) print (pila) #34578 print("saco este elemento",pila.pop()) #8 print("Se quedo asi la pila: ", pila) #3457

[ "ivanarratia314@aragon.unam.mx" ]

ivanarratia314@aragon.unam.mx

cc97266146a0e0a5a82b27d70bd9882600547a30

606afd1394624127e37bf82328e1d21f00f8a2ca

/Layer.py

0c21cbb41afc36e4c72c6f5a25825d5ff2ed8f09

[]

no_license

JoelGooch/Tensorflow-Final-Year-Project

b4d437a778f19e5cf7adc16afd82b5a0c7a93788

b72aeeed5ac9df13257c56fff5e71855709cb73c

refs/heads/master

2021-01-20T03:16:47.980594

2017-05-21T20:13:55

83,829,318

0

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UTF-8

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false

2,299

py

# base Layer class that others will inherit from class Layer: def __init__(self, layer_name): self.layer_name = layer_name # contains all the parameters that a convolution layer will have class ConvLayer(Layer): def __init__(self, layer_name, kernel_size, stride, act_function, num_output_filters, weight_init, weight_val, bias_init, bias_val, padding, normalize, dropout , keep_rate): Layer.__init__(self, layer_name) self.layer_type = 'Convolution' self.kernel_size = int(kernel_size) self.stride = int(stride) self.act_function = act_function self.num_output_filters = int(num_output_filters) self.weight_init = weight_init self.weight_val = float(weight_val) self.bias_init = bias_init self.bias_val = float(bias_val) self.padding = padding self.normalize = normalize self.dropout = dropout self.keep_rate = float(keep_rate) # contains all the parameters that a max pooling layer will have class MaxPoolingLayer(Layer): def __init__(self, layer_name, kernel_size, stride, padding, normalize, dropout, keep_rate): Layer.__init__(self, layer_name) self.layer_type = 'Max Pool' self.kernel_size = int(kernel_size) self.stride = int(stride) self.padding = padding self.normalize = normalize self.dropout = dropout self.keep_rate = float(keep_rate) # contains all the parameters that a fully connected layer will have class FullyConnectedLayer(Layer): def __init__(self, layer_name, act_function, num_output_nodes, weight_init, weight_val, bias_init, bias_val, dropout, keep_rate): Layer.__init__(self, layer_name) self.layer_type = 'Fully Connected' self.act_function = act_function self.num_output_nodes = int(num_output_nodes) self.weight_init = weight_init self.weight_val = float(weight_val) self.bias_init = bias_init self.bias_val = float(bias_val) self.dropout = dropout self.keep_rate = float(keep_rate) # contains all the parameters that an output layer will have class OutputLayer(Layer): def __init__(self, layer_name, act_function, weight_init, weight_val, bias_init, bias_val): Layer.__init__(self, layer_name) self.layer_type = 'Output' self.act_function = act_function self.weight_init = weight_init self.weight_val = float(weight_val) self.bias_init = bias_init self.bias_val = float(bias_val)

[ "j_gooch808@hotmail.com" ]

j_gooch808@hotmail.com

a077a0210a9ead65fa1545bd027f14dc8f564d61

20eac8f94ef0a59ef65670545e2f1b8fb719425f

/eventos/migrations/0002_auto_20210522_0314.py

78766c13cfa331ea9b1aefb40689a4801f28a1f3

[]

no_license

edgardo28081/gomez

fcc1c3fd9d9ce76a8a892d16c78d162556f067dc

b51f3af15d413789298488736365011acd77ee43

refs/heads/main

2023-05-31T17:39:06.234220

2021-06-10T19:54:46

375,813,783

0

null

UTF-8

Python

false

527

py

# Generated by Django 3.2 on 2021-05-22 07:14 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('eventos', '0001_initial'), ] operations = [ migrations.RemoveField( model_name='recuerdos', name='foto4', ), migrations.RemoveField( model_name='recuerdos', name='foto5', ), migrations.RemoveField( model_name='recuerdos', name='foto6', ), ]

[ "edgardomarcano04@gmail.com" ]

edgardomarcano04@gmail.com

f8bc14a1c8b118e1a3d390327c9c1d7f9a1cbbd5

7a68632e1788079f40894501e8394d89ebf784df

/mysite/settings.py

d540fa83124150c965b10568958646da1b003d75

[]

no_license

Audywb/pythonanywhere

4f790dad374758f5419b59f4c59d9b22b4099881

4ec7494ad0e3fe478b9e6e6e56ed3ef8b1f29201

refs/heads/master

2023-01-02T14:56:31.593485

2020-10-25T13:38:30

285,757,171

0

null

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Python

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3,637

py

""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 2.1. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'l#d)=k3^2f9^39&__hb26y@cf+p95jv#g=p67-5yf9a1gi-$1+' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [u'audyyy.pythonanywhere.com',u'localhost',u'127.0.0.1'] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'myweb', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'mysite.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'mysite.wsgi.application' # Database # https://docs.djangoproject.com/en/2.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.1/howto/static-files/ STATICFILES_DIRS = [ os.path.join(BASE_DIR, "static"), '/var/www/static/', ] STATIC_URL = '/static/' # default static files settings for PythonAnywhere. # see https://help.pythonanywhere.com/pages/DjangoStaticFiles for more info MEDIA_ROOT = u'/home/wichit2s/mysite/media' MEDIA_URL = '/media/' STATIC_ROOT = u'/home/wichit2s/mysite/static' STATIC_URL = '/static/'

[ "thesombats@gmail.com" ]

thesombats@gmail.com

57c8c4f7a53557e403719802170a2e4a7bd660c6

9ecd7568b6e4f0f55af7fc865451ac40038be3c4

/tianlikai/hubei/enshi_zhongbiao.py

aa1eb42ebd5cbeb6d019ac1072c18bf552fa29cc

[]

no_license

jasonTLK/scrapy

f5ac6e575e902c077a07dc0eb9d228506f1a173f

2de8245fbc8731cfd868bbd91168e26271045300

refs/heads/master

2021-01-20T04:22:23.080864

2017-04-28T07:46:29

89,681,374

1

0

null

UTF-8

Python

false

2,967

py

# -*- coding: utf-8 -*- import scrapy from scrapy import Request from scrapy.selector import Selector try: from scrapy.spiders import Spider except: from scrapy.spiders import BaseSpider as Spider import datetime from items.biding import biding_gov from utils.toDB import * # 湖北恩施招投标网站 # 中标信息 class hz_gov_Spider(scrapy.Spider): name = "enshi_zhongbiao.py" allowed_domains = ["eszggzy.cn"] custom_settings = { "DOWNLOADER_MIDDLEWARES": { 'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None, 'middlewares.useragent_middleware.RandomUserAgent': 400, # 'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware': None, # 'middlewares.proxy_middleware.ProxyMiddleware': 250, # 'scrapy.downloadermiddlewares.retry.RetryMiddleware': None, # 'middlewares.retry_middleware.RetryWithProxyMiddleware': 300, # 'middlewares.timestamp_middleware.TimestampMiddleware': 120 } } def start_requests(self): urls = [ "http://www.eszggzy.cn/TPFront/jyxx/070001/070001003/?Paging=", "http://www.eszggzy.cn/TPFront/jyxx/070002/070002003/?Paging=", ] pages = [21, 20] for i in range(len(urls)): num=1 while num<=pages[i]: url =urls[i]+str(num) num+=1 # print url yield Request(url=url,callback=self.parse) # start_urls = [ # "http://www.eszggzy.cn/TPFront/jyxx/070001/070001003/?Paging=1" # ] def parse(self, response): selector = Selector(response) names = selector.xpath("//td[@align='left']//a/@title").extract() urls = selector.xpath("//td[@align='left']//a/@href").extract() print len(names),len(urls) for i in range(len(names)): url = "http://www.eszggzy.cn" + "".join(urls[i+4]) str = "".join(names[i]) + "," + url print str yield Request(url=url, callback=self.parse2, meta={"info": str}) def parse2(self, response): infos = response.meta["info"] items = biding_gov() items["url"] = response.url items["name"] = "".join(infos).split(",")[0] items["info"] = "" items["create_time"] = datetime.datetime.now() items["update_time"] = datetime.datetime.now() page_info = "".join(response.body) items["info"] = "".join(page_info).decode('gbk') db = MongodbHandle("172.20.3.10 ", 27017, "spiderBiding") db.get_insert( "bid_hubei_EnShi", { "url": items["url"], "name": items["name"], "info": items["info"], "create_time": items["create_time"], "update_time": items["update_time"] } ) print items["url"] print items["name"]

[ "18723163167@163.com" ]

18723163167@163.com