60 ms\\r\\nTmax = 100 ms\\r\\nCm = A * CM (Capacitância Absoluta)\\r\\nRm = RM / A (Resistência Absoluta)\\r\\nRa = RA * L / S (Resistência Axial Absoluta)\\r\\n\\r\\nInjete a corrente no compartimento da esquerda e plote a voltagem dos 2 compartimentos simulados\\r\\nem subplots diferentes. Utilize Ra = 0.115 KΩ.cm (resistência axial).\\r\\n\\r\\nAumente em 10 x o valor de Ra e plote a voltagem dos 2 compartimentos.\\r\\n'''\\r\\n\\r\\nimport numpy as np\\r\\nimport matplotlib.pyplot as plt\\r\\n\\r\\ntmax = 100\\r\\ndt = 0.001\\r\\nf = int(1/dt)\\r\\n\\r\\n#Parametros Espaciais\\r\\nL1 = 10*1e-4 #cm\\r\\nL2 = 10*1e-4 #cm\\r\\nD1 = 1*1e-4 #cm\\r\\nD2 = 2*1e-4 #cm\\r\\n\\r\\nA1 = np.pi*D1*L1\\r\\nA2 = np.pi*D2*L2\\r\\n\\r\\nS1 = np.pi*(D1/2)**2\\r\\nS2 = np.pi*(D2/2)**2\\r\\n\\r\\n#Parametros Eletricos Relativos\\r\\nRA = 0.115 #Kohm.cm\\r\\nRM = 2 #Kohm*cm**2\\r\\nCM = 1 #uF/cm^**2\\r\\n\\r\\n#Parametros Eletricos Absolutos\\r\\nRa1 = RA*(L1/S1) #Kohm\\r\\nRa2 = RA*(L2/S2) #Kohm\\r\\nRa = 1*(Ra1+Ra2)\\r\\n\\r\\nRm1 = RM/A1 #Kohm\\r\\nRm2 = RM/A2 #Kohm\\r\\n\\r\\nCm1 = CM*A1 #uF\\r\\nCm2 = CM*A2 #uF\\r\\n\\r\\nEm1 = -70 #mV\\r\\nEm2 = -70 #mV\\r\\n\\r\\ntempo = np.arange(0,tmax,dt)\\r\\nvm1 = np.zeros((len(tempo)))\\r\\nvm2 = np.zeros((len(tempo)))\\r\\n\\r\\nvrest = -70\\r\\nvm1[0] = vrest\\r\\nvm2[0] = vrest\\r\\n\\r\\namplitude = 1*1e-3 # uA\\r\\nI = np.zeros(len(tempo))\\r\\nI[10*f:60*f] = amplitude\\r\\n\\r\\n\\r\\nfor p in range(len(tempo)-1):\\r\\n Ia12 = (vm1[p] - vm2[p]) / (Ra)\\r\\n Ia21 = (vm2[p] - vm1[p]) / (Ra)\\r\\n Im1 = (vm1[p] - Em1)/ Rm1 \\r\\n Im2 = (vm2[p] - Em2)/ Rm2\\r\\n dvm1dt = 1/Cm1 * (-Im1- Ia12 + I[p]) \\r\\n vm1[p+1] = vm1[p] + dvm1dt * dt\\r\\n dvm2dt = 1/Cm2 * (-Im2 - Ia21) \\r\\n vm2[p+1] = vm2[p] + dvm2dt * dt\\r\\n \\r\\nplt.plot(tempo,vm1)\\r\\nplt.plot(tempo,vm2)\\r\\nplt.show()\\r\\n\\r\\n'''\\r\\nUtilize o método de Euler para simular um modelo compartimental composto por cinco circuitos\\r\\nequivalentes passivos conectados por resistências axiais (Ra). \\r\\n\\r\\nConsidere a dimensão espacial de todos os compartimentos igual:\\r\\nL = 10 µm (comprimento)\\r\\nD = 1 µm (diâmetro)\\r\\n\\r\\nCada compartimento pode ser descrito pelos parâmetros abaixo:\\r\\ndVm/dt=-(Vm-Em)/(RmCm)+I/Cm+Iaxial/Cm;\\r\\nRA = 0.115 KΩ.cm\\r\\nRM = 2 KΩ.cm2\\r\\nCM = 1 µF/cm2\\r\\nVm(1) = -70 mV\\r\\nEm=-70 mV\\r\\ndt=0.001 ms\\r\\na) Injete a corrente abaixo apenas no compartimento V1 e plote a voltagem em todos os\\r\\ncompartimentos.\\r\\nI=1 nA para 10<t<=60 ms\\r\\nI=0 para t<=10 e t>60 ms\\r\\nb) Injete a corrente abaixo apenas no compartimento V4 e plote a voltagem em todos os\\r\\ncompartimentos.\\r\\nI=10 nA para 10<t<=60 ms\\r\\nI=0 para t<=10 e t>60 ms\\r\\n'''\\r\\n\\r\\ntmax = 100\\r\\ndt = 0.001\\r\\nf = int(1/dt)\\r\\n\\r\\n#Parametros Espaciais\\r\\nL = 10*1e-4 #cm\\r\\nD = 1*1e-4 #cm\\r\\nA = np.pi*D*L\\r\\nS = np.pi*(D/2)**2\\r\\n\\r\\n#Parametros Eletricos Relativos\\r\\nRA = 0.115 #Kohm.cm\\r\\nRM = 2 #Kohm*cm**2\\r\\nCM = 1 #uF/cm^**2\\r\\n\\r\\n#Parametros Eletricos Absolutos\\r\\nRa1 = RA*(L/S) #Kohm\\r\\nRa = 10*(Ra1+Ra1)\\r\\n\\r\\nRm = RM/A #Kohm\\r\\nCm = CM*A #uF\\r\\nEm = -70 #mV\\r\\n\\r\\ntempo = np.arange(0,tmax,dt)\\r\\n\\r\\nvm1 = np.zeros((len(tempo)))\\r\\nvm2 = np.zeros((len(tempo)))\\r\\nvm3 = np.zeros((len(tempo)))\\r\\nvm4 = np.zeros((len(tempo)))\\r\\nvm5 = np.zeros((len(tempo)))\\r\\n\\r\\nvrest = -70\\r\\n\\r\\nvm1[0] = vrest\\r\\nvm2[0] = vrest\\r\\nvm3[0] = vrest\\r\\nvm4[0] = vrest\\r\\nvm5[0] = vrest\\r\\n\\r\\namplitude = 1*1e-3 # uA\\r\\nI = np.zeros(len(tempo))\\r\\nI[10*f:60*f] = amplitude\\r\\n\\r\\n\\r\\nfor p in range(len(tempo)-1):\\r\\n Ia12 = (vm1[p] - vm2[p])/(Ra)\\r\\n Ia21 = (vm2[p] - vm1[p])/(Ra)\\r\\n Ia13 = (vm1[p] - vm3[p])/(Ra)\\r\\n Ia31 = (vm3[p] - vm1[p])/(Ra)\\r\\n Ia34 = (vm3[p] - vm4[p])/(Ra)\\r\\n Ia43 = (vm4[p] - vm3[p])/(Ra)\\r\\n Ia35 = (vm3[p] - vm5[p])/(Ra)\\r\\n Ia53 = (vm5[p] - vm3[p])/(Ra)\\r\\n Ia45 = (vm4[p] - vm5[p])/(Ra)\\r\\n Ia54 = (vm5[p] - vm4[p])/(Ra)\\r\\n Ia23 = (vm2[p] - vm3[p])/(Ra)\\r\\n Ia32 = (vm3[p] - vm2[p])/(Ra)\\r\\n \\r\\n Im1 = (vm1[p] - Em)/Rm \\r\\n Im2 = (vm2[p] - Em)/Rm\\r\\n Im3 = (vm3[p] - Em)/Rm \\r\\n Im4 = (vm4[p] - Em)/Rm\\r\\n Im5 = (vm5[p] - Em)/Rm\\r\\n\\r\\n dvm1dt = 1/Cm*(-Im1 - Ia12 - Ia13 + I[p]) \\r\\n vm1[p+1] = vm1[p] + dvm1dt * dt\\r\\n\\r\\n dvm2dt = 1/Cm*(-Im2 - Ia21 -Ia23) \\r\\n vm2[p+1] = vm2[p] + dvm2dt * dt\\r\\n\\r\\n dvm3dt = 1/Cm*(-Im3 - Ia32 - Ia31 - Ia34 - Ia35) \\r\\n vm3[p+1] = vm3[p] + dvm3dt * dt\\r\\n\\r\\n dvm4dt = 1/Cm*(-Im4 - Ia43 -Ia45 ) \\r\\n vm4[p+1] = vm4[p] + dvm4dt * dt\\r\\n\\r\\n dvm5dt = 1/Cm*(-Im5 - Ia53 - Ia54) \\r\\n vm5[p+1] = vm5[p] + dvm5dt * dt\\r\\n \\r\\nplt.plot(tempo,vm1)\\r\\nplt.plot(tempo,vm2)\\r\\nplt.plot(tempo,vm3)\\r\\nplt.plot(tempo,vm4)\\r\\nplt.plot(tempo,vm5)\\r\\nplt.show()\"\n },\n {\n \"alpha_fraction\": 0.4465116262435913,\n \"alphanum_fraction\": 0.49418604373931885,\n \"avg_line_length\": 13.88888931274414,\n \"blob_id\": \"f5632b218243de69360cf7d32d42051f4ea53aba\",\n \"content_id\": \"2884c20ec77608f46b7b8481801c731ddb1ba14e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 862,\n \"license_type\": \"no_license\",\n \"max_line_length\": 56,\n \"num_lines\": 54,\n \"path\": \"/lab05_iz.py\",\n \"repo_name\": \"fbarscevicius/INC-UFABC-2018\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\r\\n\\\"\\\"\\\"\\r\\nSpyder Editor\\r\\n\\r\\nEste é um arquivo de script temporário.\\r\\n\\\"\\\"\\\"\\r\\n\\r\\nimport numpy as np\\r\\nimport matplotlib.pyplot as plt\\r\\n\\r\\n#Metodo de Euler\\r\\n\\r\\ntmax = 100\\r\\ndt = 0.01\\r\\n\\r\\n#a-> rate of recovery of u\\r\\n#b-> sensitivity\\r\\n#c-> afterspike reset of v\\r\\n#d-> afterspike reset of u\\r\\n\\r\\na = 0.1\\r\\nb = 0.2\\r\\nc = -65\\r\\nd = 8\\r\\npico = 30\\r\\n\\r\\ntempo = np.arange(0,tmax,dt)\\r\\nv = np.zeros((len(tempo)))\\r\\nu = np.zeros((len(tempo)))\\r\\n\\r\\nvrest = -70\\r\\nv[0]=vrest\\r\\nu[0]=b*v[0]\\r\\n\\r\\nI = np.zeros((len(tempo))) + 15\\r\\n#I[10*f:60*f] = 15\\r\\n\\r\\n\\r\\nfor p in range(len(tempo)-1):\\r\\n \\r\\n if(v[p] >= pico):\\r\\n v[p] = c\\r\\n u[p] = u[p] + d\\r\\n \\r\\n dvdt = 0.04 * v[p]**2 + 5 * v[p] + 140 - u[p] + I[p]\\r\\n v[p+1] = v[p] + dvdt * dt\\r\\n \\r\\n dudt = a * (b * v[p] - u[p])\\r\\n u[p+1] = u[p] + dudt * dt\\r\\n\\r\\n \\r\\nplt.plot(tempo,v)\\r\\nplt.plot(tempo,u)\\r\\nplt.show()\\r\\n\\r\\n\"\n },\n {\n \"alpha_fraction\": 0.49102333188056946,\n \"alphanum_fraction\": 0.5502693057060242,\n \"avg_line_length\": 16.682538986206055,\n \"blob_id\": \"17ab947e956abdc3024ad0381d2adf34322586be\",\n \"content_id\": \"aabc563b318c0407dd59321923171cf81eded2b3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1123,\n \"license_type\": \"no_license\",\n \"max_line_length\": 61,\n \"num_lines\": 63,\n \"path\": \"/lab02.py\",\n \"repo_name\": \"fbarscevicius/INC-UFABC-2018\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\\"\\\"\\\"\\nSpyder Editor\\n\\nEste é um arquivo de script temporário.\\n\\\"\\\"\\\"\\n\\n\\n# Método de Euler\\n# dydt = y\\n# y(0) = 1\\n# dt = 0.01\\n# tmax = 4\\n# y(t) = ?\\n\\nimport numpy as np\\nimport matplotlib.pyplot as plt\\n\\ntmax = 4\\ndt = 0.01\\n\\ntempo = np.arange(0, tmax, dt)\\ny = np.zeros(len(tempo))\\ny[0] = 1\\n\\nfor p in range(len(tempo)-1):\\n dydt = y[p]\\n y[p+1] = y[p] + dydt * dt\\n \\nplt.plot(tempo, y)\\nplt.show()\\n\\n\\n# Simule o comportamento desse circuito com o método de Euler\\n\\n# dV/dt = -V/(RC) + I/C\\n\\n# Plote a voltagem em função do tempo (0 < t <= 100)\\n# Use os seguintes parâmetros:\\n# R = {2, 5, 10, 20, 50}\\n# C = 1; V0 = 0; dt = 1;\\n# I = 1 para 10 < t <= 60\\n# I = 0 para t < = 10 e t > 60\\n\\ntmax = 100\\ndt = 1\\n\\ntempo = np.arange(0, tmax, dt)\\n\\nC = 1\\nI = np.array([1 if x > 10 and x <= 60 else 0 for x in tempo])\\nV = np.zeros(len(tempo))\\nR = [2, 5, 10, 20, 50]\\n\\nplt.figure(figsize=[8, 6])\\nfor r in R:\\n for p in range(len(tempo)-1):\\n dvdt = -V[p]/(r*C) + I[p]*C\\n V[p+1] = V[p] + dvdt\\n \\n plt.plot(tempo, V, label=f\\\"R = {r}\\\")\\n plt.title(f\\\"Voltagem em função do tempo\\\")\\n plt.legend()\\n\"\n },\n {\n \"alpha_fraction\": 0.4185587465763092,\n \"alphanum_fraction\": 0.4960513412952423,\n \"avg_line_length\": 18.679611206054688,\n \"blob_id\": \"48cada105d87062ddca673b650e3ce6a51397920\",\n \"content_id\": \"d0f7425b0bf81b748ec1c6c3e45e9899851133b2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2026,\n \"license_type\": \"no_license\",\n \"max_line_length\": 111,\n \"num_lines\": 103,\n \"path\": \"/lab03_hhionic.py\",\n \"repo_name\": \"fbarscevicius/INC-UFABC-2018\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import scipy as sp\\nimport pylab as plt\\nfrom scipy.integrate import odeint\\nfrom scipy import stats\\nimport scipy.linalg as lin\\n\\nC_m = 1.0 # membrane capacitance, 1uF.cm^2\\ng_Na = 120.0 # maximum sodium conductance\\ng_K = 36.0 # potassium\\ng_L = 0.3\\nE_Na = 50.0\\nE_K = -77.0\\nE_L = -54.387\\n\\n#############################################################################\\n\\n\\n# Channel gating\\ndef alpha_m(Vm):\\n return 0.1 * (Vm + 40.0) / (1.0 - sp.exp(-(Vm + 40.0) / 10.0))\\n\\n\\n# Channel gating\\ndef beta_m(Vm):\\n return 4.0 * sp.exp(-(Vm + 65.0) / 18.0)\\n\\n\\ndef alpha_h(Vm):\\n return 0.07 * sp.exp(-(Vm + 65.0) / 20.0)\\n\\n\\ndef beta_h(Vm):\\n return 1.0 / (1.0 + sp.exp(-(Vm + 35.0) / 10.0))\\n\\n\\ndef alpha_n(Vm):\\n return 0.01 * (Vm + 55.0) / (1.0 - sp.exp(-(Vm + 55.0) / 10.0))\\n\\n\\ndef beta_n(Vm):\\n return 0.125 * sp.exp(-(Vm + 65.0) / 80.0)\\n\\n\\ndef I_inj(t):\\n return 10 * (t > 100) - 10 * (t > 200) + 20 * (t > 300) - 20 * (t > 400)\\n\\n\\n\\n\\nt = sp.arange(0.0, 500.0, 0.01)\\n\\n\\ndef HH(HHall, t):\\n Vm, m, h, n = HHall\\n\\n dVmdt = (I_inj(t) - (g_Na * m**3 * h * (Vm - E_Na)) - (g_K * n**4 * (Vm - E_K)) - (g_L * (Vm - E_L))) / C_m\\n\\n dmdt = alpha_m(Vm) * (1.0 - m) - beta_m(Vm) * m\\n dhdt = alpha_h(Vm) * (1.0 - h) - beta_h(Vm) * h\\n dndt = alpha_n(Vm) * (1.0 - n) - beta_n(Vm) * n\\n\\n return dVmdt, dmdt, dhdt, dndt\\n\\n\\n\\nX = odeint(HH, [-65, 0.05, 0.6, 0.32], t)\\nVm = X[:, 0]\\nm = X[:, 1]\\nh = X[:, 2]\\nn = X[:, 3]\\n\\n\\ni_na = (g_Na * m**3 * h * (Vm - E_Na))\\ni_k = (g_K * n**4 * (Vm - E_K))\\nileak = (g_L * (Vm - E_L))\\n\\n\\n\\nplt.figure()\\nplt.subplot(411)\\nplt.title('Hodkin-Huxley model')\\nplt.plot(t, Vm, 'k')\\nplt.ylabel('Vm (mV)')\\n\\nplt.subplot(412)\\nplt.plot(t, i_na, 'c', label='$I_{Na}$')\\nplt.plot(t, i_k, 'y', label='$I_{K}$')\\nplt.plot(t, ileak, 'm', label='$I_{L}$')\\nplt.legend()\\n\\nplt.subplot(413)\\nplt.plot(t, m, 'r', label='m')\\nplt.plot(t, h, 'b', label='h')\\nplt.plot(t, n, 'g', label='n')\\nplt.legend()\\n\\nplt.subplot(414)\\nplt.plot(t, I_inj(t), 'k')\\nplt.xlabel('t (ms)')\\nplt.ylabel('$I_{inj}$ ($\\\\\\\\mu{A}/cm^2$)')\\n#plt.ylim(-1, 31)\\n\\nplt.show()\"\n },\n {\n \"alpha_fraction\": 0.5,\n \"alphanum_fraction\": 0.75,\n \"avg_line_length\": 16,\n \"blob_id\": \"7ff2c866ce1e5f0765427d60d7e1b309cd1301c7\",\n \"content_id\": \"74308d193530ed1ab2e995c5bce66d2be97502a6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 16,\n \"license_type\": \"no_license\",\n \"max_line_length\": 16,\n \"num_lines\": 1,\n \"path\": \"/README.md\",\n \"repo_name\": \"fbarscevicius/INC-UFABC-2018\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# INC-UFABC-2018\"\n },\n {\n \"alpha_fraction\": 0.4532650411128998,\n \"alphanum_fraction\": 0.5032010078430176,\n \"avg_line_length\": 13.27450942993164,\n \"blob_id\": \"f4664d0d8d1050555759c8d2d36edf06bc863b40\",\n \"content_id\": \"fa057b1e134bfc0b64c152773b4c0d19d2a2e026\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 783,\n \"license_type\": \"no_license\",\n \"max_line_length\": 45,\n \"num_lines\": 51,\n \"path\": \"/lab04_euler_rc.py\",\n \"repo_name\": \"fbarscevicius/INC-UFABC-2018\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\r\\n\\\"\\\"\\\"\\r\\nSpyder Editor\\r\\n\\r\\nEste é um arquivo de script temporário.\\r\\n\\\"\\\"\\\"\\r\\n\\r\\nimport numpy as np\\r\\nimport matplotlib.pyplot as plt\\r\\n\\r\\n#Metodo de Euler\\r\\n# dvdt = -v / (r*c) + I /c\\r\\n# v(0) = 0\\r\\n#r = 2\\r\\n#c = 1\\r\\n#dt = 1\\r\\n#I = 1 para 10<t<60\\r\\n\\r\\ntmax = 100\\r\\ndt = 0.01\\r\\nf=int(1/dt)\\r\\n\\r\\nr = 2\\r\\nc = 1\\r\\ntempo = np.arange(0,tmax,dt)\\r\\nv = np.zeros((len(tempo)))\\r\\n\\r\\nvrest = -60\\r\\nv[0]=vrest\\r\\n\\r\\nI = np.zeros((len(tempo)))\\r\\nI[10*f:60*f] = 16\\r\\n\\r\\nv_pico = 10\\r\\nv_limiar = -30\\r\\n\\r\\ncontador = 0\\r\\n\\r\\nfor p in range(len(tempo)-1):\\r\\n dvdt = - (v[p] - vrest)/ (r*c) + I[p] / c\\r\\n v[p+1] = v[p] + dvdt * dt\\r\\n \\r\\n if (v[p] > v_limiar) :\\r\\n v[p] = v_pico\\r\\n v[p+1] = vrest\\r\\n contador = contador + 1\\r\\n\\r\\nprint('disparos=',contador)\\r\\n\\r\\nplt.plot(tempo,v)\\r\\nplt.show()\\r\\n\\r\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":6,"string":"6"}}},{"rowIdx":2976989,"cells":{"repo_name":{"kind":"string","value":"wtt4477/BracoStore5_capstone"},"repo_url":{"kind":"string","value":"https://github.com/wtt4477/BracoStore5_capstone"},"snapshot_id":{"kind":"string","value":"f30d3b2bd0f5233749f0a20ae3db551172aad734"},"revision_id":{"kind":"string","value":"8681d040d904a5fe8b691d2e435b2ac0ec4b5a29"},"directory_id":{"kind":"string","value":"57dd8ef83967fdb94d7d9bcd2625dcdf3221ee4f"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2023-03-25T16:31:10.998315","string":"2023-03-25T16:31:10.998315"},"revision_date":{"kind":"timestamp","value":"2021-03-22T00:23:55","string":"2021-03-22T00:23:55"},"committer_date":{"kind":"timestamp","value":"2021-03-22T00:23:55","string":"2021-03-22T00:23:55"},"github_id":{"kind":"number","value":350153400,"string":"350,153,400"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6134903430938721,"alphanum_fraction":0.6830835342407227,"avg_line_length":27.303030014038086,"blob_id":"2a056293cfef13d0bb556d459b5f29df12ba23e5","content_id":"feb0a721e58e6446dbaefe2ba5c782fa5a20d208","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":934,"license_type":"no_license","max_line_length":98,"num_lines":33,"path":"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/Constant.java","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"package com.example.jimshire.broncostore;\n\nimport java.math.BigDecimal;\nimport java.util.ArrayList;\nimport java.util.List;\n\n/**\n * Created by Jimshire on 10/3/17.\n *\n * Some constant for testing the app.\n */\n\npublic final class Constant {\n public static final List<Integer> QUANTITY_LIST = new ArrayList<Integer>();\n\n static {\n for (int i = 1; i < 11; i++) QUANTITY_LIST.add(i);\n }\n\n //URL for HTTP GET and POST\n public static final String MENU_REQUEST_URL = \"http://54.191.37.235:8000/menu_item/Blurr002/\";\n public static final String ORDER_POST_URL = \"http://54.191.37.235:8000/order_item/\";\n public static final String CREATE_ORDER_URL = \"http://54.191.37.235:8000/create_order/\";\n public static final String PAYMENT_URL = \"http://54.191.37.235:8000/pay/\";\n\n //Currency sign\n public static final String CURRENCY = \"$\";\n\n public static String orderID;\n public static BigDecimal preTips;\n\n\n}\n"},{"alpha_fraction":0.5400938987731934,"alphanum_fraction":0.5536150336265564,"avg_line_length":44.12711715698242,"blob_id":"cd0ff3e1f37534b23460ca65a7bba0d49d062f1e","content_id":"a7812ad81176cbfe7d36a391e250b146231a01ed","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5325,"license_type":"no_license","max_line_length":196,"num_lines":118,"path":"/capstone/web/migrations/0001_initial.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.6 on 2017-10-25 06:17\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\nimport uuid\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='Beacon',\n fields=[\n ('Beacon_id', models.UUIDField(default=uuid.uuid4, help_text='Unique ID for Beacon', primary_key=True, serialize=False)),\n ],\n ),\n migrations.CreateModel(\n name='Menu',\n fields=[\n ('Menu_id', models.CharField(help_text='Unique ID for Menu', max_length=200, primary_key=True, serialize=False)),\n ('Type', models.CharField(choices=[('BK', 'Breakfast'), ('BR', 'Brunch'), ('LN', 'Lunch'), ('DN', 'Dinner'), ('AL', 'All Day'), ('HR', 'Happy Hour')], default='AL', max_length=2)),\n ],\n ),\n migrations.CreateModel(\n name='Menu_Item',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('Menu_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Menu')),\n ],\n ),\n migrations.CreateModel(\n name='Order',\n fields=[\n ('Order_id', models.UUIDField(default=uuid.uuid4, help_text='Unique ID for Order', primary_key=True, serialize=False)),\n ('Timestamp', models.DateTimeField(auto_now_add=True)),\n ('Table_id', models.CharField(max_length=10)),\n ('Status', models.CharField(choices=[('CK', 'Cooking'), ('DV', 'Delivered')], default='CK', max_length=2)),\n ],\n options={\n 'ordering': ['Timestamp'],\n },\n ),\n migrations.CreateModel(\n name='Order_Item',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('Quantity', models.IntegerField()),\n ('Order_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Order')),\n ],\n ),\n migrations.CreateModel(\n name='Payment',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('Timestamp', models.DateTimeField(auto_now_add=True)),\n ('Pre_tips', models.DecimalField(decimal_places=2, max_digits=10)),\n ('Tips', models.DecimalField(decimal_places=2, max_digits=10)),\n ('Total', models.DecimalField(decimal_places=2, max_digits=10)),\n ('Order_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Order')),\n ],\n ),\n migrations.CreateModel(\n name='Product',\n fields=[\n ('Product_id', models.CharField(help_text='Unique ID for Product', max_length=200, primary_key=True, serialize=False)),\n ('Product_name', models.CharField(max_length=200)),\n ('Price', models.DecimalField(decimal_places=2, max_digits=10)),\n ('Description', models.TextField(max_length=500)),\n ],\n ),\n migrations.CreateModel(\n name='Restaurant',\n fields=[\n ('Res_id', models.CharField(help_text='Unique ID for restaurant', max_length=200, primary_key=True, serialize=False)),\n ('Res_name', models.CharField(help_text='Restaurant Name', max_length=200)),\n ('Style', models.CharField(max_length=200)),\n ('Phone', models.CharField(max_length=200)),\n ('Price_range', models.CharField(max_length=10)),\n ('Business_hours', models.CharField(max_length=200)),\n ('Address', models.CharField(max_length=200)),\n ('Default_tips', models.DecimalField(decimal_places=2, default=0.15, max_digits=3)),\n ('Created_time', models.DateTimeField(auto_now_add=True)),\n ('Updated_time', models.DateTimeField(auto_now=True)),\n ],\n ),\n migrations.AddField(\n model_name='order_item',\n name='Product_id',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Product'),\n ),\n migrations.AddField(\n model_name='order',\n name='Res_id',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Restaurant'),\n ),\n migrations.AddField(\n model_name='menu_item',\n name='Product_id',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Product'),\n ),\n migrations.AddField(\n model_name='menu',\n name='Res_id',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Restaurant'),\n ),\n migrations.AddField(\n model_name='beacon',\n name='Res_id',\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Restaurant'),\n ),\n ]\n"},{"alpha_fraction":0.7580645084381104,"alphanum_fraction":0.7580645084381104,"avg_line_length":23.799999237060547,"blob_id":"ca8f7c026c24819759b4c603f549499549a629eb","content_id":"7bf5598925fd39c32a6d62f1f4743a1444225678","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":124,"license_type":"no_license","max_line_length":35,"num_lines":5,"path":"/capstone/restapi/apps.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.apps import AppConfig\n\n# Make a name for this application \nclass RestapiConfig(AppConfig):\n name = 'restapi'\n"},{"alpha_fraction":0.8658536672592163,"alphanum_fraction":0.8658536672592163,"avg_line_length":39.5,"blob_id":"15f01fc30234cd189a6ef709ed17314ddc69c7c7","content_id":"4351bfd4ec8703c7b67fa2e290bfd72cd993a2d5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":82,"license_type":"no_license","max_line_length":47,"num_lines":2,"path":"/capstone/restapi/admin.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.contrib import admin\nfrom markdownx.admin import MarkdownxModelAdmin\n\n"},{"alpha_fraction":0.8513513803482056,"alphanum_fraction":0.8513513803482056,"avg_line_length":35.5,"blob_id":"6cfc4112931cd4a35c1287efadc67384b1c7176e","content_id":"92b1a5eab3e9a6248a9b4d0a810d0579164362e7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":74,"license_type":"no_license","max_line_length":43,"num_lines":2,"path":"/capstone/restapi/models.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.db import models\nfrom markdownx.models import MarkdownxField\n\n"},{"alpha_fraction":0.6699174642562866,"alphanum_fraction":0.6744186282157898,"avg_line_length":31.512195587158203,"blob_id":"d47ead78ed2d330292bc995667a600381a55e0b6","content_id":"7f0b756e246ab2e89ecc9893db4bb42dc6b2a82e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":1333,"license_type":"no_license","max_line_length":102,"num_lines":41,"path":"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/RestaurantListActivity.java","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"package com.example.jimshire.broncostore;\n\nimport android.content.Intent;\nimport android.os.Bundle;\nimport android.support.v7.app.AppCompatActivity;\nimport android.view.View;\nimport android.widget.TextView;\n\n/**\n * Created by Jimshire on 10/4/17.\n *\n * Here is two sample list for the main page.\n */\n\npublic class RestaurantListActivity extends AppCompatActivity {\n @Override\n protected void onCreate(Bundle savedInstanceState) {\n super.onCreate(savedInstanceState);\n setContentView(R.layout.restaurant_list);\n\n TextView coffeeShop = (TextView) findViewById(R.id.coffeeshop);\n\n // Set a click listener on that View\n coffeeShop.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View view) {\n Intent coffeeShopIntent = new Intent(RestaurantListActivity.this, MainActivity.class);\n startActivity(coffeeShopIntent);\n }\n });\n\n TextView restaurant = (TextView) findViewById(R.id.restaurant);\n\n restaurant.setOnClickListener(new View.OnClickListener() {\n public void onClick(View view) {\n Intent restaurantIntent = new Intent(RestaurantListActivity.this, MainActivity.class);\n startActivity(restaurantIntent);\n }\n });\n }\n}\n"},{"alpha_fraction":0.7533252835273743,"alphanum_fraction":0.7545344829559326,"avg_line_length":31.431371688842773,"blob_id":"8c79ab2a8d02db428da95fbafde56df60af83c85","content_id":"3e4c44110046a032f527642283a6946e9ad37a22","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1654,"license_type":"no_license","max_line_length":126,"num_lines":51,"path":"/capstone/web/views.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.shortcuts import render\nfrom django.http import HttpResponseRedirect\nfrom django.contrib.auth.mixins import LoginRequiredMixin\nfrom django.views import generic\n\n# Import models\nfrom .models import Beacon, Menu, Menu_Item, Order, Order_Item, Payment, Restaurant, Product\n\n\n# Create index page\ndef index(request):\n\t\"\"\"\n\tView function for home page of site.\n\t\"\"\"\n\tnum_restaurants=Restaurant.objects.all().count()\n\t\n\t# Render the HTML template index.html with the data in the context variable\n\treturn render(\n\t\trequest,\n\t\t'index.html',\n\t\tcontext={'num_restaurants':num_restaurants},\n )\n\n\n# Create order page\t\nclass OrderDetail(LoginRequiredMixin,generic.ListView):\n\t#model = Order_Item\n\tpaginate_by = 6\n\tcontext_object_name = 'Order_Details' # your own name for the list as a template variable\n\tdef get_queryset(self):\n\t\treturn Order_Item.objects.select_related('Order_id').filter(Order_id__Res_id=self.request.user.username).filter(Status='CK')\n\t#queryset = Order_Item.objects.select_related('Order_id').fliter(Order_id.res_id=self.request.user)\n\ttemplate_name = 'web/order_list.html'\n\t#def userstr(self):\n\t\t#return self.request.user.username\t\t\n\t\t\n\n# Update the delivery status\ndef statusUpdate(request, pk):\n\tif pk:\n\t\tOrder_Item.objects.filter(pk=pk).update(Status='Delivered')\n\t\treturn HttpResponseRedirect('/web/order')\n\n\t\t\n# Create Payment Page\t\t\nclass PaymentDetail(LoginRequiredMixin,generic.ListView):\n\tpaginate_by = 6\n\tcontext_object_name = 'Payment_Details' \n\tdef get_queryset(self):\n\t\treturn Payment.objects.select_related('Order_id').filter(Order_id__Res_id=self.request.user.username)\n\ttemplate_name = 'web/payment_list.html'\n"},{"alpha_fraction":0.6865671873092651,"alphanum_fraction":0.7052238583564758,"avg_line_length":16.866666793823242,"blob_id":"3421e99e19724e5f95545f4f00f6e8f90495ae56","content_id":"04643ff2f022547e94b586b33eac35bc7a39bdcc","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":268,"license_type":"no_license","max_line_length":65,"num_lines":15,"path":"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/Saleable.java","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"package com.example.jimshire.broncostore;\n\nimport java.math.BigDecimal;\n\n/**\n * Created by Jimshire on 10/4/17.\n *\n * This interface is for every product can be added into the cart\n *\n */\n\npublic interface Saleable {\n BigDecimal getPrice();\n String getName();\n}\n"},{"alpha_fraction":0.6980289220809937,"alphanum_fraction":0.7140604257583618,"avg_line_length":28.960630416870117,"blob_id":"3bd067fa77a26c215e99444a9f3df70d303f245b","content_id":"0340d867ed81b2d7c992b0a27ad092651b93925f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3805,"license_type":"no_license","max_line_length":103,"num_lines":127,"path":"/capstone/web/models.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.db import models\nfrom django.contrib.auth.models import User\n\n# Create your models here.\n\nimport uuid # Required for unique restaurant id\n\nclass Restaurant(models.Model):\n\t\"\"\"\n\tModel representing restaurant info\n\t\"\"\"\n\t#Res_id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text=\"Unique ID for restaurant\")\n\tRes_id = models.CharField(primary_key=True, max_length=200, help_text=\"Unique ID for restaurant\")\n\tRes_name = models.CharField(max_length=200, help_text=\"Restaurant Name\")\n\tStyle = models.CharField(max_length=200)\n\tPhone = models.CharField(max_length=200)\n\tPrice_range = models.CharField(max_length=10)\n\tBusiness_hours = models.CharField(max_length=200)\n\tAddress = models.CharField(max_length=200)\n\tDefault_tips = models.DecimalField(max_digits=3, decimal_places=2, default=0.15)\n\tCreated_time = models.DateTimeField(auto_now_add=True)\n\tUpdated_time = models.DateTimeField(auto_now=True)\n\n\tdef __str__(self):\n\t\t\"\"\"\n\t\tString for representing the Model object (in Admin site etc.)\n\t\t\"\"\"\n\t\treturn self.Res_name\n\n\t\t\nclass Product(models.Model):\n\t\"\"\"\n\tModel representing restaurant menu items\n\t\"\"\"\n\tProduct_id = models.CharField(primary_key=True, max_length=200, help_text=\"Unique ID for Product\")\n\tProduct_name = models.CharField(max_length=200)\n\tPrice = models.DecimalField(max_digits=30, decimal_places=20)\n\tDescription = models.TextField(max_length=500)\n\n\tdef __str__(self):\n\t\t\"\"\"\n\t\tString for representing the Model object (in Admin site etc.)\n\t\t\"\"\"\n\t\treturn self.Product_name\t\t\n\n\t\t\nclass Menu(models.Model):\n\t\"\"\"\n\tModel representing restaurant menu\n\t\"\"\"\n\tMenu_id = models.CharField(primary_key=True, max_length=200, help_text=\"Unique ID for Menu\")\n\tRes_id = models.ForeignKey('Restaurant', on_delete=models.CASCADE)\n\t\n\tMenu_type = (\n\t\t('BK', 'Breakfast'),\n\t\t('BR', 'Brunch'),\n\t\t('LN', 'Lunch'),\n\t\t('DN', 'Dinner'),\n\t\t('AL', 'All Day'),\n\t\t('HR', 'Happy Hour'),\n\t)\n\tType = models.CharField(\n\t\tmax_length=2,\n\t\tchoices=Menu_type,\n\t\tdefault='AL'\n\t)\n\t\n\tdef __str__(self):\n\t\t\"\"\"\n\t\tString for representing the Model object (in Admin site etc.)\n\t\t\"\"\"\n\t\treturn '%s %s' % (self.Menu_id, self.Type)\n\t\t\n\nclass Menu_Item(models.Model):\n\t\"\"\"\n\tModel representing restaurant menu items\n\t\"\"\"\n\tMenu_id = models.ForeignKey('Menu', on_delete=models.CASCADE)\n\tProduct_id = models.ForeignKey('Product', on_delete=models.CASCADE)\n\n\nclass Order(models.Model):\n\t\"\"\"\n\tModel representing Orders info\n\t\"\"\"\n\tOrder_id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text=\"Unique ID for Order\")\n\tRes_id = models.ForeignKey('Restaurant', on_delete=models.CASCADE)\n\tTimestamp = models.DateTimeField(auto_now_add=True)\n\tTable_id = models.CharField(max_length=10)\n\t\n\tclass Meta:\n\t\tordering = [\"Timestamp\"]\n\t\t\n\tdef __str__(self):\n\t\t\"\"\"\n\t\tString for representing the Model object (in Admin site etc.)\n\t\t\"\"\"\n\t\treturn '%s %s' % (str(self.Order_id), self.Res_id)\n\t\t\n\t\t\nclass Order_Item(models.Model):\n\t\"\"\"\n\tModel representing Orders details\n\t\"\"\"\n\tOrder_id = models.ForeignKey('Order', on_delete=models.CASCADE)\n\tProduct_id = models.ForeignKey('Product', on_delete=models.CASCADE)\n\tQuantity = models.IntegerField()\t\n\tStatus = models.CharField(max_length=10, default='CK')\n\t\nclass Payment(models.Model):\n\t\"\"\"\n\tModel representing payment info\n\t\"\"\"\n\tOrder_id = models.ForeignKey('Order', on_delete=models.CASCADE)\n\tTimestamp = models.DateTimeField(auto_now_add=True)\n\tPre_tips = models.DecimalField(max_digits=30, decimal_places=20)\n\tTips = models.DecimalField(max_digits=30, decimal_places=20)\n\tTotal = models.DecimalField(max_digits=30, decimal_places=20)\n\t\n\nclass Beacon(models.Model):\n\t\"\"\"\n\tModel representing Beacon info\n\t\"\"\"\n\tBeacon_id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text=\"Unique ID for Beacon\")\n\tRes_id = models.ForeignKey('Restaurant', on_delete=models.CASCADE)\n"},{"alpha_fraction":0.7390750050544739,"alphanum_fraction":0.7431226968765259,"avg_line_length":62.52857208251953,"blob_id":"0933f4b87f16021e2daa037c81623c49cccca9b9","content_id":"2e32e7b884a2763852c29e068612d51e23b1869b","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"HTML","length_bytes":13341,"license_type":"no_license","max_line_length":399,"num_lines":210,"path":"/Android Documentation/overview-tree.html","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"<!DOCTYPE HTML PUBLIC \"-//W3C//DTD HTML 4.01 Transitional//EN\" \"http://www.w3.org/TR/html4/loose.dtd\">\n<!-- NewPage -->\n<html lang=\"en\">\n<head>\n<!-- Generated by javadoc (1.8.0_152-release) on Fri Dec 08 18:11:32 PST 2017 -->\n<title>Class Hierarchy</title>\n<meta name=\"date\" content=\"2017-12-08\">\n<link rel=\"stylesheet\" type=\"text/css\" href=\"stylesheet.css\" title=\"Style\">\n<script type=\"text/javascript\" src=\"script.js\"></script>\n</head>\n<body>\n<script type=\"text/javascript\"><!--\n try {\n if (location.href.indexOf('is-external=true') == -1) {\n parent.document.title=\"Class Hierarchy\";\n }\n }\n catch(err) {\n }\n//-->\n</script>\n<noscript>\n<div>JavaScript is disabled on your browser.</div>\n</noscript>\n<!-- ========= START OF TOP NAVBAR ======= -->\n<div class=\"topNav\"><a name=\"navbar.top\">\n<!-- -->\n</a>\n<div class=\"skipNav\"><a href=\"#skip.navbar.top\" title=\"Skip navigation links\">Skip navigation links</a></div>\n<a name=\"navbar.top.firstrow\">\n<!-- -->\n</a>\n<ul class=\"navList\" title=\"Navigation\">\n<li><a href=\"com/example/jimshire/broncostore/package-summary.html\">Package</a></li>\n<li>Class</li>\n<li class=\"navBarCell1Rev\">Tree</li>\n<li><a href=\"deprecated-list.html\">Deprecated</a></li>\n<li><a href=\"index-files/index-1.html\">Index</a></li>\n<li><a href=\"help-doc.html\">Help</a></li>\n</ul>\n</div>\n<div class=\"subNav\">\n<ul class=\"navList\">\n<li>Prev</li>\n<li>Next</li>\n</ul>\n<ul class=\"navList\">\n<li><a href=\"index.html?overview-tree.html\" target=\"_top\">Frames</a></li>\n<li><a href=\"overview-tree.html\" target=\"_top\">No Frames</a></li>\n</ul>\n<ul class=\"navList\" id=\"allclasses_navbar_top\">\n<li><a href=\"allclasses-noframe.html\">All Classes</a></li>\n</ul>\n<div>\n<script type=\"text/javascript\"><!--\n allClassesLink = document.getElementById(\"allclasses_navbar_top\");\n if(window==top) {\n allClassesLink.style.display = \"block\";\n }\n else {\n allClassesLink.style.display = \"none\";\n }\n //-->\n</script>\n</div>\n<a name=\"skip.navbar.top\">\n<!-- -->\n</a></div>\n<!-- ========= END OF TOP NAVBAR ========= -->\n<div class=\"header\">\n<h1 class=\"title\">Hierarchy For All Packages</h1>\n<span class=\"packageHierarchyLabel\">Package Hierarchies:</span>\n<ul class=\"horizontal\">\n<li><a href=\"com/example/jimshire/broncostore/package-tree.html\">com.example.jimshire.broncostore</a></li>\n</ul>\n</div>\n<div class=\"contentContainer\">\n<h2 title=\"Class Hierarchy\">Class Hierarchy</h2>\n<ul>\n<li type=\"circle\">java.lang.Object\n<ul>\n<li type=\"circle\">android.widget.BaseAdapter (implements android.widget.ListAdapter, android.widget.SpinnerAdapter)\n<ul>\n<li type=\"circle\">android.widget.ArrayAdapter<T> (implements android.widget.Filterable, android.widget.ThemedSpinnerAdapter)\n<ul>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/ProductAdapter.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">ProductAdapter</span></a></li>\n</ul>\n</li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/CartItemAdapter.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">CartItemAdapter</span></a></li>\n</ul>\n</li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/BuildConfig.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">BuildConfig</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/Cart.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">Cart</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/CartHelper.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">CartHelper</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/CartItem.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">CartItem</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/Constant.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">Constant</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/Constants.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">Constants</span></a></li>\n<li type=\"circle\">android.content.Context\n<ul>\n<li type=\"circle\">android.content.ContextWrapper\n<ul>\n<li type=\"circle\">android.app.Application (implements android.content.ComponentCallbacks2)\n<ul>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/MyApplication.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">MyApplication</span></a> (implements org.altbeacon.beacon.startup.BootstrapNotifier)</li>\n</ul>\n</li>\n<li type=\"circle\">android.view.ContextThemeWrapper\n<ul>\n<li type=\"circle\">android.app.Activity (implements android.content.ComponentCallbacks2, android.view.KeyEvent.Callback, android.view.LayoutInflater.Factory2, android.view.View.OnCreateContextMenuListener, android.view.Window.Callback)\n<ul>\n<li type=\"circle\">android.support.v4.app.SupportActivity (implements android.arch.lifecycle.LifecycleOwner)\n<ul>\n<li type=\"circle\">android.support.v4.app.FragmentActivity (implements android.support.v4.app.ActivityCompat.OnRequestPermissionsResultCallback, android.support.v4.app.ActivityCompat.RequestPermissionsRequestCodeValidator)\n<ul>\n<li type=\"circle\">android.support.v7.app.AppCompatActivity (implements android.support.v7.app.ActionBarDrawerToggle.DelegateProvider, android.support.v7.app.AppCompatCallback, android.support.v4.app.TaskStackBuilder.SupportParentable)\n<ul>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/MainActivity.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">MainActivity</span></a> (implements com.google.android.gms.common.api.GoogleApiClient.OnConnectionFailedListener)</li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/ProductActivity.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">ProductActivity</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/RestaurantListActivity.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">RestaurantListActivity</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/ShoppingCartActivity.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">ShoppingCartActivity</span></a></li>\n</ul>\n</li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/WalletActivity.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">WalletActivity</span></a> (implements org.altbeacon.beacon.BeaconConsumer, com.google.android.gms.common.api.GoogleApiClient.OnConnectionFailedListener)</li>\n</ul>\n</li>\n</ul>\n</li>\n</ul>\n</li>\n</ul>\n</li>\n</ul>\n</li>\n</ul>\n</li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/ExampleInstrumentedTest.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">ExampleInstrumentedTest</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/ExampleUnitTest.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">ExampleUnitTest</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/ItemInfo.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">ItemInfo</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/Product.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">Product</span></a> (implements com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/Saleable.html\" title=\"interface in com.example.jimshire.broncostore\">Saleable</a>, java.io.Serializable)</li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/QueryUtils.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">QueryUtils</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.anim.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.anim</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.attr.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.attr</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.bool.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.bool</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.color.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.color</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.dimen.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.dimen</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.drawable.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.drawable</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.id.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.id</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.integer.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.integer</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.layout.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.layout</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.mipmap.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.mipmap</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.string.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.string</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.style.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.style</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/R.styleable.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">R.styleable</span></a></li>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/WalletUtil.html\" title=\"class in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">WalletUtil</span></a></li>\n</ul>\n</li>\n</ul>\n<h2 title=\"Interface Hierarchy\">Interface Hierarchy</h2>\n<ul>\n<li type=\"circle\">com.example.jimshire.broncostore.<a href=\"com/example/jimshire/broncostore/Saleable.html\" title=\"interface in com.example.jimshire.broncostore\"><span class=\"typeNameLink\">Saleable</span></a></li>\n</ul>\n</div>\n<!-- ======= START OF BOTTOM NAVBAR ====== -->\n<div class=\"bottomNav\"><a name=\"navbar.bottom\">\n<!-- -->\n</a>\n<div class=\"skipNav\"><a href=\"#skip.navbar.bottom\" title=\"Skip navigation links\">Skip navigation links</a></div>\n<a name=\"navbar.bottom.firstrow\">\n<!-- -->\n</a>\n<ul class=\"navList\" title=\"Navigation\">\n<li><a href=\"com/example/jimshire/broncostore/package-summary.html\">Package</a></li>\n<li>Class</li>\n<li class=\"navBarCell1Rev\">Tree</li>\n<li><a href=\"deprecated-list.html\">Deprecated</a></li>\n<li><a href=\"index-files/index-1.html\">Index</a></li>\n<li><a href=\"help-doc.html\">Help</a></li>\n</ul>\n</div>\n<div class=\"subNav\">\n<ul class=\"navList\">\n<li>Prev</li>\n<li>Next</li>\n</ul>\n<ul class=\"navList\">\n<li><a href=\"index.html?overview-tree.html\" target=\"_top\">Frames</a></li>\n<li><a href=\"overview-tree.html\" target=\"_top\">No Frames</a></li>\n</ul>\n<ul class=\"navList\" id=\"allclasses_navbar_bottom\">\n<li><a href=\"allclasses-noframe.html\">All Classes</a></li>\n</ul>\n<div>\n<script type=\"text/javascript\"><!--\n allClassesLink = document.getElementById(\"allclasses_navbar_bottom\");\n if(window==top) {\n allClassesLink.style.display = \"block\";\n }\n else {\n allClassesLink.style.display = \"none\";\n }\n //-->\n</script>\n</div>\n<a name=\"skip.navbar.bottom\">\n<!-- -->\n</a></div>\n<!-- ======== END OF BOTTOM NAVBAR ======= -->\n</body>\n</html>\n"},{"alpha_fraction":0.6254120469093323,"alphanum_fraction":0.6279592514038086,"avg_line_length":34.50531768798828,"blob_id":"579031c1447b36d0f1fa1ad822f8cc23b5444f66","content_id":"220f56509b286ee6ad5c1efe749822c609036c7e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Java","length_bytes":6674,"license_type":"no_license","max_line_length":173,"num_lines":188,"path":"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/ProductActivity.java","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"package com.example.jimshire.broncostore;\n\nimport android.content.Intent;\nimport android.os.AsyncTask;\nimport android.os.Bundle;\nimport android.support.v7.app.AppCompatActivity;\nimport android.text.SpannableString;\nimport android.text.style.UnderlineSpan;\nimport android.util.Log;\nimport android.view.View;\nimport android.widget.ArrayAdapter;\nimport android.widget.Button;\nimport android.widget.ImageView;\nimport android.widget.Spinner;\nimport android.widget.TextView;\n\nimport org.json.JSONObject;\n\nimport java.io.BufferedInputStream;\nimport java.io.InputStream;\nimport java.io.OutputStreamWriter;\nimport java.net.HttpURLConnection;\nimport java.net.URL;\nimport java.util.HashMap;\nimport java.util.Map;\n\n/**\n * Created by Jimshire on 10/3/17.\n *\n * After the item add into the cart, make an HTTP request right after.\n */\n\npublic class ProductActivity extends AppCompatActivity {\n private static final String TAG = \"ProductActivity\";\n\n TextView tvProductName;\n TextView tvProductDesc;\n ImageView ivProductImage;\n Spinner spQuantity;\n Button bOrder;\n Product product;\n\n\n @Override\n protected void onCreate(Bundle savedInstanceState) {\n super.onCreate(savedInstanceState);\n\n setContentView(R.layout.activity_product);\n\n Bundle data = getIntent().getExtras();\n product = (Product) data.getSerializable(\"product\");\n\n Log.d(TAG, \"Product hashCode: \" + product.hashCode());\n\n //Set Shopping Cart link\n setShoppingCartLink();\n\n //Retrieve views\n retrieveViews();\n\n //Set product properties\n setProductProperties();\n\n //Initialize quantity\n initializeQuantity();\n\n //On ordering of product\n onOrderProduct();\n }\n\n private void setShoppingCartLink() {\n TextView tvViewShoppingCart = (TextView) findViewById(R.id.tvViewShoppingCart);\n SpannableString content = new SpannableString(getText(R.string.shopping_cart));\n content.setSpan(new UnderlineSpan(), 0, content.length(), 0);\n tvViewShoppingCart.setText(content);\n tvViewShoppingCart.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n Intent intent = new Intent(ProductActivity.this, ShoppingCartActivity.class);\n startActivity(intent);\n }\n });\n }\n\n private void retrieveViews() {\n tvProductName = (TextView) findViewById(R.id.tvProductName);\n tvProductDesc = (TextView) findViewById(R.id.tvProductDesc);\n ivProductImage = (ImageView) findViewById(R.id.ivProductImage);\n spQuantity = (Spinner) findViewById(R.id.spQuantity);\n bOrder = (Button) findViewById(R.id.bOrder);\n }\n\n private void setProductProperties() {\n tvProductName.setText(product.getName());\n tvProductDesc.setText(product.getDescription());\n ivProductImage.setImageResource(this.getResources().getIdentifier(product.getImageName(), \"drawable\", this.getPackageName()));\n }\n\n private void initializeQuantity() {\n ArrayAdapter<Integer> dataAdapter = new ArrayAdapter<Integer>(this, android.R.layout.simple_spinner_item, Constant.QUANTITY_LIST);\n dataAdapter.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item);\n spQuantity.setAdapter(dataAdapter);\n }\n\n\n private void onOrderProduct() {\n bOrder.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n Cart cart = CartHelper.getCart();\n Log.d(TAG, \"Adding product: \" + product.getName());\n cart.add(product, Integer.valueOf(spQuantity.getSelectedItem().toString()));\n Intent intent = new Intent(ProductActivity.this, ShoppingCartActivity.class);\n startActivity(intent);\n\n Map<String, String> postData = new HashMap<>();\n postData.put(\"Product_id\", product.getId());\n postData.put(\"Order_id\", Constant.orderID);\n Log.d(\"ORDERID\", Constant.orderID);\n postData.put(\"Quantity\", spQuantity.getSelectedItem().toString());\n PostAsyncTask task = new PostAsyncTask(postData);\n task.execute(Constant.ORDER_POST_URL);\n }\n });\n }\n\n /**\n * Post ordered item to the backend when added into the cart\n */\n private class PostAsyncTask extends AsyncTask<String, Void, Void> {\n\n // This is the JSON body of the post\n JSONObject postData;\n // This is a constructor that allows you to pass in the JSON body\n public PostAsyncTask(Map<String, String> postData) {\n if (postData != null) {\n this.postData = new JSONObject(postData);\n }\n }\n\n @Override\n protected Void doInBackground(String... urls) {\n // Don't perform the request if there are no URLs, or the first URL is null.\n if (urls.length < 1 || urls[0] == null) {\n return null;\n }\n\n try {\n URL url = new URL(urls[0]);\n\n // Create the urlConnection\n HttpURLConnection urlConnection = (HttpURLConnection) url.openConnection();\n\n urlConnection.setDoInput(true);\n urlConnection.setDoOutput(true);\n urlConnection.setRequestProperty(\"Content-Type\", \"application/json\");\n urlConnection.setRequestMethod(\"POST\");\n\n // Send the post body\n if (this.postData != null) {\n OutputStreamWriter writer = new OutputStreamWriter(urlConnection.getOutputStream());\n writer.write(postData.toString());\n writer.flush();\n }\n\n int statusCode = urlConnection.getResponseCode();\n if (statusCode == 200) {\n\n InputStream inputStream = new BufferedInputStream(urlConnection.getInputStream());\n\n String response = inputStream.toString();\n\n // From here you can convert the string to JSON with whatever JSON parser you like to use\n // After converting the string to JSON, I call my custom callback. You can follow this process too, or you can implement the onPostExecute(Result) method\n } else {\n // Status code is not 200\n // Do something to handle the error\n }\n\n } catch (Exception e){\n Log.d(\"POST\", e.getLocalizedMessage());\n }\n return null;\n }\n\n }\n\n}"},{"alpha_fraction":0.6619418859481812,"alphanum_fraction":0.6758800148963928,"avg_line_length":34.87288284301758,"blob_id":"70a907743e8e7337dedcc32c54fbfd5623515b84","content_id":"3baeb7be5a932e2c963f609e6bc241a0b90f96c2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4233,"license_type":"no_license","max_line_length":93,"num_lines":118,"path":"/capstone/restapi/views.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from web.models import *\nfrom django.http import JsonResponse\nfrom restapi.serializers import *\nfrom django.views.decorators.csrf import csrf_exempt\nfrom rest_framework.decorators import api_view\nfrom rest_framework import status\nfrom rest_framework.response import Response\nimport datetime\n\n\nCONTENT_NOT_FOUND = {'Message': 'Content Not Found'}\n\n\n# Providing a beacon id, return avalibale menus for this resturant.\n@api_view(['GET', 'POST'])\n@csrf_exempt\ndef menu_list2(request):\n if request.method == 'POST':\n beacon_id = request.data['beacon']\n menus = Menu.objects.filter(Res_id_id=Beacon.objects.get(Beacon_id=beacon_id).Res_id)\n now = datetime.datetime.now().hour\n # find the avaliable menus upon the current time\n if now < 11: # morning time\n ava_menus = menus.exclude(Type='DN').exclude(Type='LN')\n elif now < 16: # lunch time\n ava_menus = menus.exclude(Type='DN').exclude(Type='BK')\n else: # dinner time\n ava_menus = menus.exclude(Type='LN').exclude(Type='BK')\n\n if menus:\n ser = MenuSerializer(ava_menus, many=True)\n return Response(ser.data, status=status.HTTP_200_OK)\n return JsonResponse(CONTENT_NOT_FOUND, safe=False,status=status.HTTP_404_NOT_FOUND)\n\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n\n\n# Record the payment info providing an order id\n@api_view(['POST'])\n@csrf_exempt\ndef pay(request):\n if request.method == 'POST':\n # prevent the user double pay an order\n if Payment.objects.filter(Order_id=request.data['Order_id']):\n return Response(\"You have paid the order already\", status=status.HTTP_200_OK)\n # post a payment entry in database\n ser = PaymentSerializer(data=request.data)\n if ser.is_valid():\n ser.save()\n return Response(ser.data, status=status.HTTP_200_OK)\n # the client did not post the valid data\n return Response(ser.errors, status=status.HTTP_400_BAD_REQUEST)\n\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n\n\n# Place an item in the order when a customer adds an item in the shopping cart\n@api_view(['POST'])\n@csrf_exempt\ndef order_item(request):\n if request.method == 'POST':\n serializer = OrderItemSerializer(data=request.data)\n\n if serializer.is_valid():\n serializer.save()\n return Response(serializer.data, status=status.HTTP_201_CREATED)\n return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)\n\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n\n\n# Create a new order\n@api_view(['POST'])\n@csrf_exempt\ndef new_order(request):\n if request.method == 'POST':\n serializer = OrderSerializer(data=request.data)\n\n if serializer.is_valid():\n serializer.save()\n return Response(serializer.data, status=status.HTTP_200_OK)\n return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)\n\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n\n\n# Given the resturant id, get the information of this resturant.\ndef get_res_info(request, str):\n if request.method == 'GET':\n info = Restaurant.objects.get(Res_id=str)\n\n if info:\n ser = ResSerializer(info)\n return JsonResponse(ser.data, safe=False)\n return JsonResponse(CONTENT_NOT_FOUND, safe=False, status=status.HTTP_404_NOT_FOUND)\n\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n\n\n# Get the product info for a menu\ndef menu_item(request, str):\n if request.method == 'GET':\n items = Product.objects.filter(menu_item__Menu_id=str)\n\n if items:\n ser = MenuItemSerializer(items, many=True)\n return JsonResponse(ser.data, safe=False)\n return JsonResponse(CONTENT_NOT_FOUND, safe=False, status=status.HTTP_404_NOT_FOUND) \n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n\n\n# test code\ndef menu_list(request, str):\n if request.method == 'GET':\n menus = Menu.objects.filter(Res_id_id=str)\n ser = MenuSerializer(menus, many=True)\n return JsonResponse(ser.data, safe=False)\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\n"},{"alpha_fraction":0.7180774807929993,"alphanum_fraction":0.7180774807929993,"avg_line_length":29.282608032226562,"blob_id":"fe0000d6af581258672eb0ce327ca911255d21bf","content_id":"2fbc04bea873e1638557f480d0cebefa1a3e31ae","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1394,"license_type":"no_license","max_line_length":105,"num_lines":46,"path":"/capstone/web/admin.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.contrib import admin\n\n# Register your models here.\n\nfrom .models import Restaurant, Menu, Menu_Item, Product, Order, Order_Item, Payment, Beacon\n\n# Define the admin class\nclass ResAdmin(admin.ModelAdmin):\n\tlist_display = ('Res_name','Style', 'Phone', 'Price_range', 'Business_hours', 'Address', 'Default_tips')\n\t\n# Register the admin class with the associated model\nadmin.site.register(Restaurant, ResAdmin)\n\n# Register the Admin classes using the decorator and display the contents\t\n@admin.register(Menu)\t\nclass MenuAdmin(admin.ModelAdmin):\n\tlist_display = ('Menu_id', 'Res_id', 'Type')\n\tlist_filter = ('Menu_id',)\n\n\t\n@admin.register(Menu_Item)\t\nclass MenuItemAdmin(admin.ModelAdmin):\n\tlist_display = ('Menu_id', 'Product_id')\n\tlist_filter = ('Menu_id',)\n\t\n\t\n@admin.register(Product)\t\nclass ProdAdmin(admin.ModelAdmin):\n\tlist_display = ('Product_id', 'Product_name', 'Price', 'Description')\n\t\n\t\n@admin.register(Order)\t\nclass OrderAdmin(admin.ModelAdmin):\n\tlist_display = ('Order_id','Res_id', 'Table_id')\t\n\n@admin.register(Order_Item)\nclass OrderItemAdmin(admin.ModelAdmin):\n\tlist_display = ('Order_id', 'Product_id', 'Quantity', 'Status')\t\n\n@admin.register(Payment)\t\nclass PaymentAdmin(admin.ModelAdmin):\n\tlist_display = ('Order_id', 'Timestamp', 'Pre_tips', 'Tips', 'Total')\t\n\n@admin.register(Beacon)\t\nclass BeaconAdmin(admin.ModelAdmin):\n\tlist_display = ('Beacon_id','Res_id')\t\n"},{"alpha_fraction":0.6679245233535767,"alphanum_fraction":0.6764150857925415,"avg_line_length":26.179487228393555,"blob_id":"d5d778fc2d61fe0a2e44a216118e339168e511ce","content_id":"0676cff3822e72627fbdac2ca22aa95edf9970e3","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1060,"license_type":"no_license","max_line_length":87,"num_lines":39,"path":"/capstone/restapi/serializers.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from web.models import *\nfrom rest_framework import serializers\n\n\nclass PaymentSerializer(serializers.ModelSerializer):\n class Meta:\n model = Payment\n fields = ('__all__')\n\n\nclass MenuItemSerializer(serializers.Serializer):\n Product_id = serializers.CharField(max_length=200)\n Product_name = serializers.CharField(max_length=200)\n Price = serializers.FloatField(max_value=None, min_value=None)\n Description = serializers.CharField(max_length=500)\n\n\nclass OrderItemSerializer(serializers.ModelSerializer):\n class Meta:\n model = Order_Item\n fields = ('Product_id', 'Product_id_id', 'Order_id_id', 'Order_id', 'Quantity')\n\n\nclass ResSerializer(serializers.ModelSerializer):\n class Meta:\n model = Restaurant\n fields = ('__all__')\n\n\nclass OrderSerializer(serializers.ModelSerializer):\n class Meta:\n model = Order\n fields = ('__all__')\n\n\nclass MenuSerializer(serializers.ModelSerializer):\n class Meta:\n model = Menu\n fields = ('Type', 'Menu_id', 'Res_id', 'Res_id_id')\n"},{"alpha_fraction":0.5809839963912964,"alphanum_fraction":0.5848535299301147,"avg_line_length":24.125,"blob_id":"e422971c4a055de69932105aaa9b361a9898b4bc","content_id":"a26eed3fd78643e10dc63d6166bb4573a5976356","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"HTML","length_bytes":1809,"license_type":"no_license","max_line_length":93,"num_lines":72,"path":"/capstone/web/templates/web/payment_list.html","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n\t{% block title %}<title>Payment Details</title>{% endblock %}\n\t<meta charset=\"utf-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1\">\n\t<link href=\"https://v4-alpha.getbootstrap.com/dist/css/bootstrap.min.css\" rel=\"stylesheet\" >\n\t<!-- Add additional CSS in static file -->\n\t{% load static %}\n\t<link href=\"{% static 'css/styles.css' %}\" rel=\"stylesheet\">\n</head>\n\n<body> \n\n{% block content %}\n\n\t<div class=\"table_container\">\n\t\t<table class=\"table table-striped\">\n\t\t<tr id=\"table_head\">\n\t\t\t<th>Order_ID</th>\n\t\t\t<th>Pre_Tips</th>\n\t\t\t<th>Tips</th>\n\t\t\t<th>Total Payment</th>\n\t\t\t<th>Timestamp</th>\n\t\t</tr>\n\t\t{% for object in object_list %}\n\t\t<tr>\n\t\t\t<td>{{ object.Order_id }}</td>\n\t\t\t<td>{{ object.Pre_tips }}</td>\n\t\t\t<td>{{ object.Tips }}</td>\n\t\t\t<td>{{ object.Total}}</td>\n\t\t\t<td>{{ object.Timestamp }}</td>\n\t\t</tr>\n\t\t{% endfor %}\n\t\t</table>\n\t</div>\n <p></p>\n\t<center>\n\t\t<a href=\"/web/order/\" class=\"btn btn-md btn-secondary\">Order Details</a>\n\t  \n\t\t<a href=\"/accounts/logout/\" class=\"btn btn-md btn-secondary\">Log Out</a>\n\t</center>\t\n\t\n{% endblock %}\n\n{% block pagination %}\n\t{% if is_paginated %}\n\t\t<div class=\"pagination\">\n\t\t\t<div class=\"pbarcenter\">\n\t\t\t\t<span class=\"page-links\">\n\t\t\t\t{% if page_obj.has_previous %}\n\t\t\t\t\t<a href=\"{{ request.path }}?page={{ page_obj.previous_page_number }}\">previous</a>\n\t\t\t\t{% endif %}\n\t\t\t\t<span class=\"page-current\">\n\t\t\t\tPage {{ page_obj.number }} of {{ page_obj.paginator.num_pages }}.\n\t\t\t\t</span>\n\t\t\t\t{% if page_obj.has_next %}\n\t\t\t\t\t<a href=\"{{ request.path }}?page={{ page_obj.next_page_number }}\">next</a>\n\t\t\t\t{% endif %}\n\t\t\t\t</span>\t\n\t\t\t\t<p></p>\n\t\t\t\t\n\t\t\t</div>\n\t\t</div>\n\t{% endif %}\n{% endblock %}\n\n<footer>\n<p class=\"footer\"> © 2017 SCU Bluetooth Capstone Team </p>\n</footer>\n</body>\n</html>\n"},{"alpha_fraction":0.6850152611732483,"alphanum_fraction":0.6916412115097046,"avg_line_length":31.147541046142578,"blob_id":"5198331d0ef836e23f3cf752b4907c83035d2702","content_id":"4cfed82f718b8bc55ba72c3f4f9bbe2607c18166","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1962,"license_type":"no_license","max_line_length":88,"num_lines":61,"path":"/capstone/capstone/urls.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"\"\"\"capstone URL Configuration\n\n\nThe `urlpatterns` list routes URLs to views. For more information please see:\n https://docs.djangoproject.com/en/1.11/topics/http/urls/\nExamples:\nFunction views\n 1. Add an import: from my_app import views\n 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')\nClass-based views\n 1. Add an import: from other_app.views import Home\n 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home')\nIncluding another URLconf\n 1. Import the include() function: from django.conf.urls import url, include\n 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls'))\n\"\"\"\n\nfrom restapi.views import*\nfrom django.conf.urls import url\nfrom django.contrib import admin\n\nurlpatterns = [\n\t\n # urls for the REST services: \n url(r'^menu/',menu_list2),\n url(r'^order_item/',order_item),\t \n url(r'^admin/', admin.site.urls),\n url(r'^menus/(\\w+)',menu_list),\n url(r'^menu_item/(\\w+)',menu_item),\n url(r'^create_order/',new_order),\n url(r'^resturant/(\\w+)',get_res_info),\n url(r'^pay/',pay),\n \n\n]\n\n# Use include() to add URLS from the web application \nfrom django.conf.urls import include\n\nurlpatterns += [\n\turl(r'^api-auth/', include('rest_framework.urls', namespace='rest_framework')),\n\turl(r'^web/', include('web.urls')),\n\turl(r'^markdownx/', include('markdownx.urls')),\n]\n\n# Add URL maps to redirect the base URL to our application\nfrom django.views.generic import RedirectView\nurlpatterns += [\n\turl(r'^$', RedirectView.as_view(url='/web/', permanent=True)),\n]\n\n# Use static() to add url mapping to serve static files during development (only)\nfrom django.conf import settings\nfrom django.conf.urls.static import static\n\nurlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)\n\n#Add Django site authentication urls (for login, logout, password management) - Xie 11/6\nurlpatterns += [\n\turl(r'^accounts/', include('django.contrib.auth.urls')),\n]\n\n"},{"alpha_fraction":0.8032786846160889,"alphanum_fraction":0.811475396156311,"avg_line_length":39.66666793823242,"blob_id":"5dd78a627a6c64f6d86d516ce40f863be9532fde","content_id":"205429661a7651f26f585b47c1b093ede3b2d55d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":122,"license_type":"no_license","max_line_length":97,"num_lines":3,"path":"/README.md","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"# BracoStore5_capstone\n\nCapstone project - An Automatic Self - Checkout Solution Featured with BLE Beacon(Android system)\n"},{"alpha_fraction":0.6595091819763184,"alphanum_fraction":0.6595091819763184,"avg_line_length":28.636363983154297,"blob_id":"bbdfee5dabe728ce1cfb662380dabf025a7b9053","content_id":"ff84afc51858a96e67bfe280a8a1bce1ad6ff106","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":326,"license_type":"no_license","max_line_length":67,"num_lines":11,"path":"/capstone/web/urls.py","repo_name":"wtt4477/BracoStore5_capstone","src_encoding":"UTF-8","text":"from django.conf.urls import url\n\nfrom . import views\n\n#mapping for web pages\nurlpatterns = [\n\turl(r'^$', views.index, name='index'),\n\turl(r'^order/$', views.OrderDetail.as_view(), name='order'),\n\turl(r'^(?P<pk>\\d+)/$', views.statusUpdate, name='status'),\n\turl(r'^payment/$', views.PaymentDetail.as_view(), name='payment'),\n]\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6134903430938721,\n \"alphanum_fraction\": 0.6830835342407227,\n \"avg_line_length\": 27.303030014038086,\n \"blob_id\": \"2a056293cfef13d0bb556d459b5f29df12ba23e5\",\n \"content_id\": \"feb0a721e58e6446dbaefe2ba5c782fa5a20d208\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 934,\n \"license_type\": \"no_license\",\n \"max_line_length\": 98,\n \"num_lines\": 33,\n \"path\": \"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/Constant.java\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package com.example.jimshire.broncostore;\\n\\nimport java.math.BigDecimal;\\nimport java.util.ArrayList;\\nimport java.util.List;\\n\\n/**\\n * Created by Jimshire on 10/3/17.\\n *\\n * Some constant for testing the app.\\n */\\n\\npublic final class Constant {\\n public static final List<Integer> QUANTITY_LIST = new ArrayList<Integer>();\\n\\n static {\\n for (int i = 1; i < 11; i++) QUANTITY_LIST.add(i);\\n }\\n\\n //URL for HTTP GET and POST\\n public static final String MENU_REQUEST_URL = \\\"http://54.191.37.235:8000/menu_item/Blurr002/\\\";\\n public static final String ORDER_POST_URL = \\\"http://54.191.37.235:8000/order_item/\\\";\\n public static final String CREATE_ORDER_URL = \\\"http://54.191.37.235:8000/create_order/\\\";\\n public static final String PAYMENT_URL = \\\"http://54.191.37.235:8000/pay/\\\";\\n\\n //Currency sign\\n public static final String CURRENCY = \\\"$\\\";\\n\\n public static String orderID;\\n public static BigDecimal preTips;\\n\\n\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5400938987731934,\n \"alphanum_fraction\": 0.5536150336265564,\n \"avg_line_length\": 44.12711715698242,\n \"blob_id\": \"cd0ff3e1f37534b23460ca65a7bba0d49d062f1e\",\n \"content_id\": \"a7812ad81176cbfe7d36a391e250b146231a01ed\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5325,\n \"license_type\": \"no_license\",\n \"max_line_length\": 196,\n \"num_lines\": 118,\n \"path\": \"/capstone/web/migrations/0001_initial.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n# Generated by Django 1.11.6 on 2017-10-25 06:17\\nfrom __future__ import unicode_literals\\n\\nfrom django.db import migrations, models\\nimport django.db.models.deletion\\nimport uuid\\n\\n\\nclass Migration(migrations.Migration):\\n\\n initial = True\\n\\n dependencies = [\\n ]\\n\\n operations = [\\n migrations.CreateModel(\\n name='Beacon',\\n fields=[\\n ('Beacon_id', models.UUIDField(default=uuid.uuid4, help_text='Unique ID for Beacon', primary_key=True, serialize=False)),\\n ],\\n ),\\n migrations.CreateModel(\\n name='Menu',\\n fields=[\\n ('Menu_id', models.CharField(help_text='Unique ID for Menu', max_length=200, primary_key=True, serialize=False)),\\n ('Type', models.CharField(choices=[('BK', 'Breakfast'), ('BR', 'Brunch'), ('LN', 'Lunch'), ('DN', 'Dinner'), ('AL', 'All Day'), ('HR', 'Happy Hour')], default='AL', max_length=2)),\\n ],\\n ),\\n migrations.CreateModel(\\n name='Menu_Item',\\n fields=[\\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\\n ('Menu_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Menu')),\\n ],\\n ),\\n migrations.CreateModel(\\n name='Order',\\n fields=[\\n ('Order_id', models.UUIDField(default=uuid.uuid4, help_text='Unique ID for Order', primary_key=True, serialize=False)),\\n ('Timestamp', models.DateTimeField(auto_now_add=True)),\\n ('Table_id', models.CharField(max_length=10)),\\n ('Status', models.CharField(choices=[('CK', 'Cooking'), ('DV', 'Delivered')], default='CK', max_length=2)),\\n ],\\n options={\\n 'ordering': ['Timestamp'],\\n },\\n ),\\n migrations.CreateModel(\\n name='Order_Item',\\n fields=[\\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\\n ('Quantity', models.IntegerField()),\\n ('Order_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Order')),\\n ],\\n ),\\n migrations.CreateModel(\\n name='Payment',\\n fields=[\\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\\n ('Timestamp', models.DateTimeField(auto_now_add=True)),\\n ('Pre_tips', models.DecimalField(decimal_places=2, max_digits=10)),\\n ('Tips', models.DecimalField(decimal_places=2, max_digits=10)),\\n ('Total', models.DecimalField(decimal_places=2, max_digits=10)),\\n ('Order_id', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Order')),\\n ],\\n ),\\n migrations.CreateModel(\\n name='Product',\\n fields=[\\n ('Product_id', models.CharField(help_text='Unique ID for Product', max_length=200, primary_key=True, serialize=False)),\\n ('Product_name', models.CharField(max_length=200)),\\n ('Price', models.DecimalField(decimal_places=2, max_digits=10)),\\n ('Description', models.TextField(max_length=500)),\\n ],\\n ),\\n migrations.CreateModel(\\n name='Restaurant',\\n fields=[\\n ('Res_id', models.CharField(help_text='Unique ID for restaurant', max_length=200, primary_key=True, serialize=False)),\\n ('Res_name', models.CharField(help_text='Restaurant Name', max_length=200)),\\n ('Style', models.CharField(max_length=200)),\\n ('Phone', models.CharField(max_length=200)),\\n ('Price_range', models.CharField(max_length=10)),\\n ('Business_hours', models.CharField(max_length=200)),\\n ('Address', models.CharField(max_length=200)),\\n ('Default_tips', models.DecimalField(decimal_places=2, default=0.15, max_digits=3)),\\n ('Created_time', models.DateTimeField(auto_now_add=True)),\\n ('Updated_time', models.DateTimeField(auto_now=True)),\\n ],\\n ),\\n migrations.AddField(\\n model_name='order_item',\\n name='Product_id',\\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Product'),\\n ),\\n migrations.AddField(\\n model_name='order',\\n name='Res_id',\\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Restaurant'),\\n ),\\n migrations.AddField(\\n model_name='menu_item',\\n name='Product_id',\\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Product'),\\n ),\\n migrations.AddField(\\n model_name='menu',\\n name='Res_id',\\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Restaurant'),\\n ),\\n migrations.AddField(\\n model_name='beacon',\\n name='Res_id',\\n field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='web.Restaurant'),\\n ),\\n ]\\n\"\n },\n {\n \"alpha_fraction\": 0.7580645084381104,\n \"alphanum_fraction\": 0.7580645084381104,\n \"avg_line_length\": 23.799999237060547,\n \"blob_id\": \"ca8f7c026c24819759b4c603f549499549a629eb\",\n \"content_id\": \"7bf5598925fd39c32a6d62f1f4743a1444225678\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 124,\n \"license_type\": \"no_license\",\n \"max_line_length\": 35,\n \"num_lines\": 5,\n \"path\": \"/capstone/restapi/apps.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.apps import AppConfig\\n\\n# Make a name for this application \\nclass RestapiConfig(AppConfig):\\n name = 'restapi'\\n\"\n },\n {\n \"alpha_fraction\": 0.8658536672592163,\n \"alphanum_fraction\": 0.8658536672592163,\n \"avg_line_length\": 39.5,\n \"blob_id\": \"15f01fc30234cd189a6ef709ed17314ddc69c7c7\",\n \"content_id\": \"4351bfd4ec8703c7b67fa2e290bfd72cd993a2d5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 82,\n \"license_type\": \"no_license\",\n \"max_line_length\": 47,\n \"num_lines\": 2,\n \"path\": \"/capstone/restapi/admin.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.contrib import admin\\nfrom markdownx.admin import MarkdownxModelAdmin\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.8513513803482056,\n \"alphanum_fraction\": 0.8513513803482056,\n \"avg_line_length\": 35.5,\n \"blob_id\": \"6cfc4112931cd4a35c1287efadc67384b1c7176e\",\n \"content_id\": \"92b1a5eab3e9a6248a9b4d0a810d0579164362e7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 74,\n \"license_type\": \"no_license\",\n \"max_line_length\": 43,\n \"num_lines\": 2,\n \"path\": \"/capstone/restapi/models.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.db import models\\nfrom markdownx.models import MarkdownxField\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6699174642562866,\n \"alphanum_fraction\": 0.6744186282157898,\n \"avg_line_length\": 31.512195587158203,\n \"blob_id\": \"d47ead78ed2d330292bc995667a600381a55e0b6\",\n \"content_id\": \"7f0b756e246ab2e89ecc9893db4bb42dc6b2a82e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 1333,\n \"license_type\": \"no_license\",\n \"max_line_length\": 102,\n \"num_lines\": 41,\n \"path\": \"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/RestaurantListActivity.java\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package com.example.jimshire.broncostore;\\n\\nimport android.content.Intent;\\nimport android.os.Bundle;\\nimport android.support.v7.app.AppCompatActivity;\\nimport android.view.View;\\nimport android.widget.TextView;\\n\\n/**\\n * Created by Jimshire on 10/4/17.\\n *\\n * Here is two sample list for the main page.\\n */\\n\\npublic class RestaurantListActivity extends AppCompatActivity {\\n @Override\\n protected void onCreate(Bundle savedInstanceState) {\\n super.onCreate(savedInstanceState);\\n setContentView(R.layout.restaurant_list);\\n\\n TextView coffeeShop = (TextView) findViewById(R.id.coffeeshop);\\n\\n // Set a click listener on that View\\n coffeeShop.setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View view) {\\n Intent coffeeShopIntent = new Intent(RestaurantListActivity.this, MainActivity.class);\\n startActivity(coffeeShopIntent);\\n }\\n });\\n\\n TextView restaurant = (TextView) findViewById(R.id.restaurant);\\n\\n restaurant.setOnClickListener(new View.OnClickListener() {\\n public void onClick(View view) {\\n Intent restaurantIntent = new Intent(RestaurantListActivity.this, MainActivity.class);\\n startActivity(restaurantIntent);\\n }\\n });\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.7533252835273743,\n \"alphanum_fraction\": 0.7545344829559326,\n \"avg_line_length\": 31.431371688842773,\n \"blob_id\": \"8c79ab2a8d02db428da95fbafde56df60af83c85\",\n \"content_id\": \"3e4c44110046a032f527642283a6946e9ad37a22\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1654,\n \"license_type\": \"no_license\",\n \"max_line_length\": 126,\n \"num_lines\": 51,\n \"path\": \"/capstone/web/views.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.shortcuts import render\\nfrom django.http import HttpResponseRedirect\\nfrom django.contrib.auth.mixins import LoginRequiredMixin\\nfrom django.views import generic\\n\\n# Import models\\nfrom .models import Beacon, Menu, Menu_Item, Order, Order_Item, Payment, Restaurant, Product\\n\\n\\n# Create index page\\ndef index(request):\\n\\t\\\"\\\"\\\"\\n\\tView function for home page of site.\\n\\t\\\"\\\"\\\"\\n\\tnum_restaurants=Restaurant.objects.all().count()\\n\\t\\n\\t# Render the HTML template index.html with the data in the context variable\\n\\treturn render(\\n\\t\\trequest,\\n\\t\\t'index.html',\\n\\t\\tcontext={'num_restaurants':num_restaurants},\\n )\\n\\n\\n# Create order page\\t\\nclass OrderDetail(LoginRequiredMixin,generic.ListView):\\n\\t#model = Order_Item\\n\\tpaginate_by = 6\\n\\tcontext_object_name = 'Order_Details' # your own name for the list as a template variable\\n\\tdef get_queryset(self):\\n\\t\\treturn Order_Item.objects.select_related('Order_id').filter(Order_id__Res_id=self.request.user.username).filter(Status='CK')\\n\\t#queryset = Order_Item.objects.select_related('Order_id').fliter(Order_id.res_id=self.request.user)\\n\\ttemplate_name = 'web/order_list.html'\\n\\t#def userstr(self):\\n\\t\\t#return self.request.user.username\\t\\t\\n\\t\\t\\n\\n# Update the delivery status\\ndef statusUpdate(request, pk):\\n\\tif pk:\\n\\t\\tOrder_Item.objects.filter(pk=pk).update(Status='Delivered')\\n\\t\\treturn HttpResponseRedirect('/web/order')\\n\\n\\t\\t\\n# Create Payment Page\\t\\t\\nclass PaymentDetail(LoginRequiredMixin,generic.ListView):\\n\\tpaginate_by = 6\\n\\tcontext_object_name = 'Payment_Details' \\n\\tdef get_queryset(self):\\n\\t\\treturn Payment.objects.select_related('Order_id').filter(Order_id__Res_id=self.request.user.username)\\n\\ttemplate_name = 'web/payment_list.html'\\n\"\n },\n {\n \"alpha_fraction\": 0.6865671873092651,\n \"alphanum_fraction\": 0.7052238583564758,\n \"avg_line_length\": 16.866666793823242,\n \"blob_id\": \"3421e99e19724e5f95545f4f00f6e8f90495ae56\",\n \"content_id\": \"04643ff2f022547e94b586b33eac35bc7a39bdcc\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 268,\n \"license_type\": \"no_license\",\n \"max_line_length\": 65,\n \"num_lines\": 15,\n \"path\": \"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/Saleable.java\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package com.example.jimshire.broncostore;\\n\\nimport java.math.BigDecimal;\\n\\n/**\\n * Created by Jimshire on 10/4/17.\\n *\\n * This interface is for every product can be added into the cart\\n *\\n */\\n\\npublic interface Saleable {\\n BigDecimal getPrice();\\n String getName();\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6980289220809937,\n \"alphanum_fraction\": 0.7140604257583618,\n \"avg_line_length\": 28.960630416870117,\n \"blob_id\": \"3bd067fa77a26c215e99444a9f3df70d303f245b\",\n \"content_id\": \"0340d867ed81b2d7c992b0a27ad092651b93925f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3805,\n \"license_type\": \"no_license\",\n \"max_line_length\": 103,\n \"num_lines\": 127,\n \"path\": \"/capstone/web/models.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.db import models\\nfrom django.contrib.auth.models import User\\n\\n# Create your models here.\\n\\nimport uuid # Required for unique restaurant id\\n\\nclass Restaurant(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing restaurant info\\n\\t\\\"\\\"\\\"\\n\\t#Res_id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text=\\\"Unique ID for restaurant\\\")\\n\\tRes_id = models.CharField(primary_key=True, max_length=200, help_text=\\\"Unique ID for restaurant\\\")\\n\\tRes_name = models.CharField(max_length=200, help_text=\\\"Restaurant Name\\\")\\n\\tStyle = models.CharField(max_length=200)\\n\\tPhone = models.CharField(max_length=200)\\n\\tPrice_range = models.CharField(max_length=10)\\n\\tBusiness_hours = models.CharField(max_length=200)\\n\\tAddress = models.CharField(max_length=200)\\n\\tDefault_tips = models.DecimalField(max_digits=3, decimal_places=2, default=0.15)\\n\\tCreated_time = models.DateTimeField(auto_now_add=True)\\n\\tUpdated_time = models.DateTimeField(auto_now=True)\\n\\n\\tdef __str__(self):\\n\\t\\t\\\"\\\"\\\"\\n\\t\\tString for representing the Model object (in Admin site etc.)\\n\\t\\t\\\"\\\"\\\"\\n\\t\\treturn self.Res_name\\n\\n\\t\\t\\nclass Product(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing restaurant menu items\\n\\t\\\"\\\"\\\"\\n\\tProduct_id = models.CharField(primary_key=True, max_length=200, help_text=\\\"Unique ID for Product\\\")\\n\\tProduct_name = models.CharField(max_length=200)\\n\\tPrice = models.DecimalField(max_digits=30, decimal_places=20)\\n\\tDescription = models.TextField(max_length=500)\\n\\n\\tdef __str__(self):\\n\\t\\t\\\"\\\"\\\"\\n\\t\\tString for representing the Model object (in Admin site etc.)\\n\\t\\t\\\"\\\"\\\"\\n\\t\\treturn self.Product_name\\t\\t\\n\\n\\t\\t\\nclass Menu(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing restaurant menu\\n\\t\\\"\\\"\\\"\\n\\tMenu_id = models.CharField(primary_key=True, max_length=200, help_text=\\\"Unique ID for Menu\\\")\\n\\tRes_id = models.ForeignKey('Restaurant', on_delete=models.CASCADE)\\n\\t\\n\\tMenu_type = (\\n\\t\\t('BK', 'Breakfast'),\\n\\t\\t('BR', 'Brunch'),\\n\\t\\t('LN', 'Lunch'),\\n\\t\\t('DN', 'Dinner'),\\n\\t\\t('AL', 'All Day'),\\n\\t\\t('HR', 'Happy Hour'),\\n\\t)\\n\\tType = models.CharField(\\n\\t\\tmax_length=2,\\n\\t\\tchoices=Menu_type,\\n\\t\\tdefault='AL'\\n\\t)\\n\\t\\n\\tdef __str__(self):\\n\\t\\t\\\"\\\"\\\"\\n\\t\\tString for representing the Model object (in Admin site etc.)\\n\\t\\t\\\"\\\"\\\"\\n\\t\\treturn '%s %s' % (self.Menu_id, self.Type)\\n\\t\\t\\n\\nclass Menu_Item(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing restaurant menu items\\n\\t\\\"\\\"\\\"\\n\\tMenu_id = models.ForeignKey('Menu', on_delete=models.CASCADE)\\n\\tProduct_id = models.ForeignKey('Product', on_delete=models.CASCADE)\\n\\n\\nclass Order(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing Orders info\\n\\t\\\"\\\"\\\"\\n\\tOrder_id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text=\\\"Unique ID for Order\\\")\\n\\tRes_id = models.ForeignKey('Restaurant', on_delete=models.CASCADE)\\n\\tTimestamp = models.DateTimeField(auto_now_add=True)\\n\\tTable_id = models.CharField(max_length=10)\\n\\t\\n\\tclass Meta:\\n\\t\\tordering = [\\\"Timestamp\\\"]\\n\\t\\t\\n\\tdef __str__(self):\\n\\t\\t\\\"\\\"\\\"\\n\\t\\tString for representing the Model object (in Admin site etc.)\\n\\t\\t\\\"\\\"\\\"\\n\\t\\treturn '%s %s' % (str(self.Order_id), self.Res_id)\\n\\t\\t\\n\\t\\t\\nclass Order_Item(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing Orders details\\n\\t\\\"\\\"\\\"\\n\\tOrder_id = models.ForeignKey('Order', on_delete=models.CASCADE)\\n\\tProduct_id = models.ForeignKey('Product', on_delete=models.CASCADE)\\n\\tQuantity = models.IntegerField()\\t\\n\\tStatus = models.CharField(max_length=10, default='CK')\\n\\t\\nclass Payment(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing payment info\\n\\t\\\"\\\"\\\"\\n\\tOrder_id = models.ForeignKey('Order', on_delete=models.CASCADE)\\n\\tTimestamp = models.DateTimeField(auto_now_add=True)\\n\\tPre_tips = models.DecimalField(max_digits=30, decimal_places=20)\\n\\tTips = models.DecimalField(max_digits=30, decimal_places=20)\\n\\tTotal = models.DecimalField(max_digits=30, decimal_places=20)\\n\\t\\n\\nclass Beacon(models.Model):\\n\\t\\\"\\\"\\\"\\n\\tModel representing Beacon info\\n\\t\\\"\\\"\\\"\\n\\tBeacon_id = models.UUIDField(primary_key=True, default=uuid.uuid4, help_text=\\\"Unique ID for Beacon\\\")\\n\\tRes_id = models.ForeignKey('Restaurant', on_delete=models.CASCADE)\\n\"\n },\n {\n \"alpha_fraction\": 0.7390750050544739,\n \"alphanum_fraction\": 0.7431226968765259,\n \"avg_line_length\": 62.52857208251953,\n \"blob_id\": \"0933f4b87f16021e2daa037c81623c49cccca9b9\",\n \"content_id\": \"2e32e7b884a2763852c29e068612d51e23b1869b\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"HTML\",\n \"length_bytes\": 13341,\n \"license_type\": \"no_license\",\n \"max_line_length\": 399,\n \"num_lines\": 210,\n \"path\": \"/Android Documentation/overview-tree.html\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"<!DOCTYPE HTML PUBLIC \\\"-//W3C//DTD HTML 4.01 Transitional//EN\\\" \\\"http://www.w3.org/TR/html4/loose.dtd\\\">\\n<!-- NewPage -->\\n<html lang=\\\"en\\\">\\n<head>\\n<!-- Generated by javadoc (1.8.0_152-release) on Fri Dec 08 18:11:32 PST 2017 -->\\n<title>Class Hierarchy</title>\\n<meta name=\\\"date\\\" content=\\\"2017-12-08\\\">\\n<link rel=\\\"stylesheet\\\" type=\\\"text/css\\\" href=\\\"stylesheet.css\\\" title=\\\"Style\\\">\\n<script type=\\\"text/javascript\\\" src=\\\"script.js\\\"></script>\\n</head>\\n<body>\\n<script type=\\\"text/javascript\\\"><!--\\n try {\\n if (location.href.indexOf('is-external=true') == -1) {\\n parent.document.title=\\\"Class Hierarchy\\\";\\n }\\n }\\n catch(err) {\\n }\\n//-->\\n</script>\\n<noscript>\\n<div>JavaScript is disabled on your browser.</div>\\n</noscript>\\n<!-- ========= START OF TOP NAVBAR ======= -->\\n<div class=\\\"topNav\\\"><a name=\\\"navbar.top\\\">\\n<!-- -->\\n</a>\\n<div class=\\\"skipNav\\\"><a href=\\\"#skip.navbar.top\\\" title=\\\"Skip navigation links\\\">Skip navigation links</a></div>\\n<a name=\\\"navbar.top.firstrow\\\">\\n<!-- -->\\n</a>\\n<ul class=\\\"navList\\\" title=\\\"Navigation\\\">\\n<li><a href=\\\"com/example/jimshire/broncostore/package-summary.html\\\">Package</a></li>\\n<li>Class</li>\\n<li class=\\\"navBarCell1Rev\\\">Tree</li>\\n<li><a href=\\\"deprecated-list.html\\\">Deprecated</a></li>\\n<li><a href=\\\"index-files/index-1.html\\\">Index</a></li>\\n<li><a href=\\\"help-doc.html\\\">Help</a></li>\\n</ul>\\n</div>\\n<div class=\\\"subNav\\\">\\n<ul class=\\\"navList\\\">\\n<li>Prev</li>\\n<li>Next</li>\\n</ul>\\n<ul class=\\\"navList\\\">\\n<li><a href=\\\"index.html?overview-tree.html\\\" target=\\\"_top\\\">Frames</a></li>\\n<li><a href=\\\"overview-tree.html\\\" target=\\\"_top\\\">No Frames</a></li>\\n</ul>\\n<ul class=\\\"navList\\\" id=\\\"allclasses_navbar_top\\\">\\n<li><a href=\\\"allclasses-noframe.html\\\">All Classes</a></li>\\n</ul>\\n<div>\\n<script type=\\\"text/javascript\\\"><!--\\n allClassesLink = document.getElementById(\\\"allclasses_navbar_top\\\");\\n if(window==top) {\\n allClassesLink.style.display = \\\"block\\\";\\n }\\n else {\\n allClassesLink.style.display = \\\"none\\\";\\n }\\n //-->\\n</script>\\n</div>\\n<a name=\\\"skip.navbar.top\\\">\\n<!-- -->\\n</a></div>\\n<!-- ========= END OF TOP NAVBAR ========= -->\\n<div class=\\\"header\\\">\\n<h1 class=\\\"title\\\">Hierarchy For All Packages</h1>\\n<span class=\\\"packageHierarchyLabel\\\">Package Hierarchies:</span>\\n<ul class=\\\"horizontal\\\">\\n<li><a href=\\\"com/example/jimshire/broncostore/package-tree.html\\\">com.example.jimshire.broncostore</a></li>\\n</ul>\\n</div>\\n<div class=\\\"contentContainer\\\">\\n<h2 title=\\\"Class Hierarchy\\\">Class Hierarchy</h2>\\n<ul>\\n<li type=\\\"circle\\\">java.lang.Object\\n<ul>\\n<li type=\\\"circle\\\">android.widget.BaseAdapter (implements android.widget.ListAdapter, android.widget.SpinnerAdapter)\\n<ul>\\n<li type=\\\"circle\\\">android.widget.ArrayAdapter<T> (implements android.widget.Filterable, android.widget.ThemedSpinnerAdapter)\\n<ul>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/ProductAdapter.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">ProductAdapter</span></a></li>\\n</ul>\\n</li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/CartItemAdapter.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">CartItemAdapter</span></a></li>\\n</ul>\\n</li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/BuildConfig.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">BuildConfig</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/Cart.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">Cart</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/CartHelper.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">CartHelper</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/CartItem.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">CartItem</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/Constant.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">Constant</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/Constants.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">Constants</span></a></li>\\n<li type=\\\"circle\\\">android.content.Context\\n<ul>\\n<li type=\\\"circle\\\">android.content.ContextWrapper\\n<ul>\\n<li type=\\\"circle\\\">android.app.Application (implements android.content.ComponentCallbacks2)\\n<ul>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/MyApplication.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">MyApplication</span></a> (implements org.altbeacon.beacon.startup.BootstrapNotifier)</li>\\n</ul>\\n</li>\\n<li type=\\\"circle\\\">android.view.ContextThemeWrapper\\n<ul>\\n<li type=\\\"circle\\\">android.app.Activity (implements android.content.ComponentCallbacks2, android.view.KeyEvent.Callback, android.view.LayoutInflater.Factory2, android.view.View.OnCreateContextMenuListener, android.view.Window.Callback)\\n<ul>\\n<li type=\\\"circle\\\">android.support.v4.app.SupportActivity (implements android.arch.lifecycle.LifecycleOwner)\\n<ul>\\n<li type=\\\"circle\\\">android.support.v4.app.FragmentActivity (implements android.support.v4.app.ActivityCompat.OnRequestPermissionsResultCallback, android.support.v4.app.ActivityCompat.RequestPermissionsRequestCodeValidator)\\n<ul>\\n<li type=\\\"circle\\\">android.support.v7.app.AppCompatActivity (implements android.support.v7.app.ActionBarDrawerToggle.DelegateProvider, android.support.v7.app.AppCompatCallback, android.support.v4.app.TaskStackBuilder.SupportParentable)\\n<ul>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/MainActivity.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">MainActivity</span></a> (implements com.google.android.gms.common.api.GoogleApiClient.OnConnectionFailedListener)</li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/ProductActivity.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">ProductActivity</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/RestaurantListActivity.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">RestaurantListActivity</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/ShoppingCartActivity.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">ShoppingCartActivity</span></a></li>\\n</ul>\\n</li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/WalletActivity.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">WalletActivity</span></a> (implements org.altbeacon.beacon.BeaconConsumer, com.google.android.gms.common.api.GoogleApiClient.OnConnectionFailedListener)</li>\\n</ul>\\n</li>\\n</ul>\\n</li>\\n</ul>\\n</li>\\n</ul>\\n</li>\\n</ul>\\n</li>\\n</ul>\\n</li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/ExampleInstrumentedTest.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">ExampleInstrumentedTest</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/ExampleUnitTest.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">ExampleUnitTest</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/ItemInfo.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">ItemInfo</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/Product.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">Product</span></a> (implements com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/Saleable.html\\\" title=\\\"interface in com.example.jimshire.broncostore\\\">Saleable</a>, java.io.Serializable)</li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/QueryUtils.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">QueryUtils</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.anim.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.anim</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.attr.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.attr</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.bool.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.bool</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.color.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.color</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.dimen.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.dimen</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.drawable.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.drawable</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.id.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.id</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.integer.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.integer</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.layout.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.layout</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.mipmap.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.mipmap</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.string.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.string</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.style.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.style</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/R.styleable.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">R.styleable</span></a></li>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/WalletUtil.html\\\" title=\\\"class in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">WalletUtil</span></a></li>\\n</ul>\\n</li>\\n</ul>\\n<h2 title=\\\"Interface Hierarchy\\\">Interface Hierarchy</h2>\\n<ul>\\n<li type=\\\"circle\\\">com.example.jimshire.broncostore.<a href=\\\"com/example/jimshire/broncostore/Saleable.html\\\" title=\\\"interface in com.example.jimshire.broncostore\\\"><span class=\\\"typeNameLink\\\">Saleable</span></a></li>\\n</ul>\\n</div>\\n<!-- ======= START OF BOTTOM NAVBAR ====== -->\\n<div class=\\\"bottomNav\\\"><a name=\\\"navbar.bottom\\\">\\n<!-- -->\\n</a>\\n<div class=\\\"skipNav\\\"><a href=\\\"#skip.navbar.bottom\\\" title=\\\"Skip navigation links\\\">Skip navigation links</a></div>\\n<a name=\\\"navbar.bottom.firstrow\\\">\\n<!-- -->\\n</a>\\n<ul class=\\\"navList\\\" title=\\\"Navigation\\\">\\n<li><a href=\\\"com/example/jimshire/broncostore/package-summary.html\\\">Package</a></li>\\n<li>Class</li>\\n<li class=\\\"navBarCell1Rev\\\">Tree</li>\\n<li><a href=\\\"deprecated-list.html\\\">Deprecated</a></li>\\n<li><a href=\\\"index-files/index-1.html\\\">Index</a></li>\\n<li><a href=\\\"help-doc.html\\\">Help</a></li>\\n</ul>\\n</div>\\n<div class=\\\"subNav\\\">\\n<ul class=\\\"navList\\\">\\n<li>Prev</li>\\n<li>Next</li>\\n</ul>\\n<ul class=\\\"navList\\\">\\n<li><a href=\\\"index.html?overview-tree.html\\\" target=\\\"_top\\\">Frames</a></li>\\n<li><a href=\\\"overview-tree.html\\\" target=\\\"_top\\\">No Frames</a></li>\\n</ul>\\n<ul class=\\\"navList\\\" id=\\\"allclasses_navbar_bottom\\\">\\n<li><a href=\\\"allclasses-noframe.html\\\">All Classes</a></li>\\n</ul>\\n<div>\\n<script type=\\\"text/javascript\\\"><!--\\n allClassesLink = document.getElementById(\\\"allclasses_navbar_bottom\\\");\\n if(window==top) {\\n allClassesLink.style.display = \\\"block\\\";\\n }\\n else {\\n allClassesLink.style.display = \\\"none\\\";\\n }\\n //-->\\n</script>\\n</div>\\n<a name=\\\"skip.navbar.bottom\\\">\\n<!-- -->\\n</a></div>\\n<!-- ======== END OF BOTTOM NAVBAR ======= -->\\n</body>\\n</html>\\n\"\n },\n {\n \"alpha_fraction\": 0.6254120469093323,\n \"alphanum_fraction\": 0.6279592514038086,\n \"avg_line_length\": 34.50531768798828,\n \"blob_id\": \"579031c1447b36d0f1fa1ad822f8cc23b5444f66\",\n \"content_id\": \"220f56509b286ee6ad5c1efe749822c609036c7e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Java\",\n \"length_bytes\": 6674,\n \"license_type\": \"no_license\",\n \"max_line_length\": 173,\n \"num_lines\": 188,\n \"path\": \"/BroncoStore 5/app/src/main/java/com/example/jimshire/broncostore/ProductActivity.java\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"package com.example.jimshire.broncostore;\\n\\nimport android.content.Intent;\\nimport android.os.AsyncTask;\\nimport android.os.Bundle;\\nimport android.support.v7.app.AppCompatActivity;\\nimport android.text.SpannableString;\\nimport android.text.style.UnderlineSpan;\\nimport android.util.Log;\\nimport android.view.View;\\nimport android.widget.ArrayAdapter;\\nimport android.widget.Button;\\nimport android.widget.ImageView;\\nimport android.widget.Spinner;\\nimport android.widget.TextView;\\n\\nimport org.json.JSONObject;\\n\\nimport java.io.BufferedInputStream;\\nimport java.io.InputStream;\\nimport java.io.OutputStreamWriter;\\nimport java.net.HttpURLConnection;\\nimport java.net.URL;\\nimport java.util.HashMap;\\nimport java.util.Map;\\n\\n/**\\n * Created by Jimshire on 10/3/17.\\n *\\n * After the item add into the cart, make an HTTP request right after.\\n */\\n\\npublic class ProductActivity extends AppCompatActivity {\\n private static final String TAG = \\\"ProductActivity\\\";\\n\\n TextView tvProductName;\\n TextView tvProductDesc;\\n ImageView ivProductImage;\\n Spinner spQuantity;\\n Button bOrder;\\n Product product;\\n\\n\\n @Override\\n protected void onCreate(Bundle savedInstanceState) {\\n super.onCreate(savedInstanceState);\\n\\n setContentView(R.layout.activity_product);\\n\\n Bundle data = getIntent().getExtras();\\n product = (Product) data.getSerializable(\\\"product\\\");\\n\\n Log.d(TAG, \\\"Product hashCode: \\\" + product.hashCode());\\n\\n //Set Shopping Cart link\\n setShoppingCartLink();\\n\\n //Retrieve views\\n retrieveViews();\\n\\n //Set product properties\\n setProductProperties();\\n\\n //Initialize quantity\\n initializeQuantity();\\n\\n //On ordering of product\\n onOrderProduct();\\n }\\n\\n private void setShoppingCartLink() {\\n TextView tvViewShoppingCart = (TextView) findViewById(R.id.tvViewShoppingCart);\\n SpannableString content = new SpannableString(getText(R.string.shopping_cart));\\n content.setSpan(new UnderlineSpan(), 0, content.length(), 0);\\n tvViewShoppingCart.setText(content);\\n tvViewShoppingCart.setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n Intent intent = new Intent(ProductActivity.this, ShoppingCartActivity.class);\\n startActivity(intent);\\n }\\n });\\n }\\n\\n private void retrieveViews() {\\n tvProductName = (TextView) findViewById(R.id.tvProductName);\\n tvProductDesc = (TextView) findViewById(R.id.tvProductDesc);\\n ivProductImage = (ImageView) findViewById(R.id.ivProductImage);\\n spQuantity = (Spinner) findViewById(R.id.spQuantity);\\n bOrder = (Button) findViewById(R.id.bOrder);\\n }\\n\\n private void setProductProperties() {\\n tvProductName.setText(product.getName());\\n tvProductDesc.setText(product.getDescription());\\n ivProductImage.setImageResource(this.getResources().getIdentifier(product.getImageName(), \\\"drawable\\\", this.getPackageName()));\\n }\\n\\n private void initializeQuantity() {\\n ArrayAdapter<Integer> dataAdapter = new ArrayAdapter<Integer>(this, android.R.layout.simple_spinner_item, Constant.QUANTITY_LIST);\\n dataAdapter.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item);\\n spQuantity.setAdapter(dataAdapter);\\n }\\n\\n\\n private void onOrderProduct() {\\n bOrder.setOnClickListener(new View.OnClickListener() {\\n @Override\\n public void onClick(View v) {\\n Cart cart = CartHelper.getCart();\\n Log.d(TAG, \\\"Adding product: \\\" + product.getName());\\n cart.add(product, Integer.valueOf(spQuantity.getSelectedItem().toString()));\\n Intent intent = new Intent(ProductActivity.this, ShoppingCartActivity.class);\\n startActivity(intent);\\n\\n Map<String, String> postData = new HashMap<>();\\n postData.put(\\\"Product_id\\\", product.getId());\\n postData.put(\\\"Order_id\\\", Constant.orderID);\\n Log.d(\\\"ORDERID\\\", Constant.orderID);\\n postData.put(\\\"Quantity\\\", spQuantity.getSelectedItem().toString());\\n PostAsyncTask task = new PostAsyncTask(postData);\\n task.execute(Constant.ORDER_POST_URL);\\n }\\n });\\n }\\n\\n /**\\n * Post ordered item to the backend when added into the cart\\n */\\n private class PostAsyncTask extends AsyncTask<String, Void, Void> {\\n\\n // This is the JSON body of the post\\n JSONObject postData;\\n // This is a constructor that allows you to pass in the JSON body\\n public PostAsyncTask(Map<String, String> postData) {\\n if (postData != null) {\\n this.postData = new JSONObject(postData);\\n }\\n }\\n\\n @Override\\n protected Void doInBackground(String... urls) {\\n // Don't perform the request if there are no URLs, or the first URL is null.\\n if (urls.length < 1 || urls[0] == null) {\\n return null;\\n }\\n\\n try {\\n URL url = new URL(urls[0]);\\n\\n // Create the urlConnection\\n HttpURLConnection urlConnection = (HttpURLConnection) url.openConnection();\\n\\n urlConnection.setDoInput(true);\\n urlConnection.setDoOutput(true);\\n urlConnection.setRequestProperty(\\\"Content-Type\\\", \\\"application/json\\\");\\n urlConnection.setRequestMethod(\\\"POST\\\");\\n\\n // Send the post body\\n if (this.postData != null) {\\n OutputStreamWriter writer = new OutputStreamWriter(urlConnection.getOutputStream());\\n writer.write(postData.toString());\\n writer.flush();\\n }\\n\\n int statusCode = urlConnection.getResponseCode();\\n if (statusCode == 200) {\\n\\n InputStream inputStream = new BufferedInputStream(urlConnection.getInputStream());\\n\\n String response = inputStream.toString();\\n\\n // From here you can convert the string to JSON with whatever JSON parser you like to use\\n // After converting the string to JSON, I call my custom callback. You can follow this process too, or you can implement the onPostExecute(Result) method\\n } else {\\n // Status code is not 200\\n // Do something to handle the error\\n }\\n\\n } catch (Exception e){\\n Log.d(\\\"POST\\\", e.getLocalizedMessage());\\n }\\n return null;\\n }\\n\\n }\\n\\n}\"\n },\n {\n \"alpha_fraction\": 0.6619418859481812,\n \"alphanum_fraction\": 0.6758800148963928,\n \"avg_line_length\": 34.87288284301758,\n \"blob_id\": \"70a907743e8e7337dedcc32c54fbfd5623515b84\",\n \"content_id\": \"3baeb7be5a932e2c963f609e6bc241a0b90f96c2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4233,\n \"license_type\": \"no_license\",\n \"max_line_length\": 93,\n \"num_lines\": 118,\n \"path\": \"/capstone/restapi/views.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from web.models import *\\nfrom django.http import JsonResponse\\nfrom restapi.serializers import *\\nfrom django.views.decorators.csrf import csrf_exempt\\nfrom rest_framework.decorators import api_view\\nfrom rest_framework import status\\nfrom rest_framework.response import Response\\nimport datetime\\n\\n\\nCONTENT_NOT_FOUND = {'Message': 'Content Not Found'}\\n\\n\\n# Providing a beacon id, return avalibale menus for this resturant.\\n@api_view(['GET', 'POST'])\\n@csrf_exempt\\ndef menu_list2(request):\\n if request.method == 'POST':\\n beacon_id = request.data['beacon']\\n menus = Menu.objects.filter(Res_id_id=Beacon.objects.get(Beacon_id=beacon_id).Res_id)\\n now = datetime.datetime.now().hour\\n # find the avaliable menus upon the current time\\n if now < 11: # morning time\\n ava_menus = menus.exclude(Type='DN').exclude(Type='LN')\\n elif now < 16: # lunch time\\n ava_menus = menus.exclude(Type='DN').exclude(Type='BK')\\n else: # dinner time\\n ava_menus = menus.exclude(Type='LN').exclude(Type='BK')\\n\\n if menus:\\n ser = MenuSerializer(ava_menus, many=True)\\n return Response(ser.data, status=status.HTTP_200_OK)\\n return JsonResponse(CONTENT_NOT_FOUND, safe=False,status=status.HTTP_404_NOT_FOUND)\\n\\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n\\n# Record the payment info providing an order id\\n@api_view(['POST'])\\n@csrf_exempt\\ndef pay(request):\\n if request.method == 'POST':\\n # prevent the user double pay an order\\n if Payment.objects.filter(Order_id=request.data['Order_id']):\\n return Response(\\\"You have paid the order already\\\", status=status.HTTP_200_OK)\\n # post a payment entry in database\\n ser = PaymentSerializer(data=request.data)\\n if ser.is_valid():\\n ser.save()\\n return Response(ser.data, status=status.HTTP_200_OK)\\n # the client did not post the valid data\\n return Response(ser.errors, status=status.HTTP_400_BAD_REQUEST)\\n\\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n\\n# Place an item in the order when a customer adds an item in the shopping cart\\n@api_view(['POST'])\\n@csrf_exempt\\ndef order_item(request):\\n if request.method == 'POST':\\n serializer = OrderItemSerializer(data=request.data)\\n\\n if serializer.is_valid():\\n serializer.save()\\n return Response(serializer.data, status=status.HTTP_201_CREATED)\\n return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)\\n\\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n\\n# Create a new order\\n@api_view(['POST'])\\n@csrf_exempt\\ndef new_order(request):\\n if request.method == 'POST':\\n serializer = OrderSerializer(data=request.data)\\n\\n if serializer.is_valid():\\n serializer.save()\\n return Response(serializer.data, status=status.HTTP_200_OK)\\n return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)\\n\\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n\\n# Given the resturant id, get the information of this resturant.\\ndef get_res_info(request, str):\\n if request.method == 'GET':\\n info = Restaurant.objects.get(Res_id=str)\\n\\n if info:\\n ser = ResSerializer(info)\\n return JsonResponse(ser.data, safe=False)\\n return JsonResponse(CONTENT_NOT_FOUND, safe=False, status=status.HTTP_404_NOT_FOUND)\\n\\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n\\n# Get the product info for a menu\\ndef menu_item(request, str):\\n if request.method == 'GET':\\n items = Product.objects.filter(menu_item__Menu_id=str)\\n\\n if items:\\n ser = MenuItemSerializer(items, many=True)\\n return JsonResponse(ser.data, safe=False)\\n return JsonResponse(CONTENT_NOT_FOUND, safe=False, status=status.HTTP_404_NOT_FOUND) \\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\\n\\n# test code\\ndef menu_list(request, str):\\n if request.method == 'GET':\\n menus = Menu.objects.filter(Res_id_id=str)\\n ser = MenuSerializer(menus, many=True)\\n return JsonResponse(ser.data, safe=False)\\n return Response(status=status.HTTP_405_METHOD_NOT_ALLOWED)\\n\"\n },\n {\n \"alpha_fraction\": 0.7180774807929993,\n \"alphanum_fraction\": 0.7180774807929993,\n \"avg_line_length\": 29.282608032226562,\n \"blob_id\": \"fe0000d6af581258672eb0ce327ca911255d21bf\",\n \"content_id\": \"2fbc04bea873e1638557f480d0cebefa1a3e31ae\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1394,\n \"license_type\": \"no_license\",\n \"max_line_length\": 105,\n \"num_lines\": 46,\n \"path\": \"/capstone/web/admin.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.contrib import admin\\n\\n# Register your models here.\\n\\nfrom .models import Restaurant, Menu, Menu_Item, Product, Order, Order_Item, Payment, Beacon\\n\\n# Define the admin class\\nclass ResAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Res_name','Style', 'Phone', 'Price_range', 'Business_hours', 'Address', 'Default_tips')\\n\\t\\n# Register the admin class with the associated model\\nadmin.site.register(Restaurant, ResAdmin)\\n\\n# Register the Admin classes using the decorator and display the contents\\t\\n@admin.register(Menu)\\t\\nclass MenuAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Menu_id', 'Res_id', 'Type')\\n\\tlist_filter = ('Menu_id',)\\n\\n\\t\\n@admin.register(Menu_Item)\\t\\nclass MenuItemAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Menu_id', 'Product_id')\\n\\tlist_filter = ('Menu_id',)\\n\\t\\n\\t\\n@admin.register(Product)\\t\\nclass ProdAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Product_id', 'Product_name', 'Price', 'Description')\\n\\t\\n\\t\\n@admin.register(Order)\\t\\nclass OrderAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Order_id','Res_id', 'Table_id')\\t\\n\\n@admin.register(Order_Item)\\nclass OrderItemAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Order_id', 'Product_id', 'Quantity', 'Status')\\t\\n\\n@admin.register(Payment)\\t\\nclass PaymentAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Order_id', 'Timestamp', 'Pre_tips', 'Tips', 'Total')\\t\\n\\n@admin.register(Beacon)\\t\\nclass BeaconAdmin(admin.ModelAdmin):\\n\\tlist_display = ('Beacon_id','Res_id')\\t\\n\"\n },\n {\n \"alpha_fraction\": 0.6679245233535767,\n \"alphanum_fraction\": 0.6764150857925415,\n \"avg_line_length\": 26.179487228393555,\n \"blob_id\": \"d5d778fc2d61fe0a2e44a216118e339168e511ce\",\n \"content_id\": \"0676cff3822e72627fbdac2ca22aa95edf9970e3\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1060,\n \"license_type\": \"no_license\",\n \"max_line_length\": 87,\n \"num_lines\": 39,\n \"path\": \"/capstone/restapi/serializers.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from web.models import *\\nfrom rest_framework import serializers\\n\\n\\nclass PaymentSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Payment\\n fields = ('__all__')\\n\\n\\nclass MenuItemSerializer(serializers.Serializer):\\n Product_id = serializers.CharField(max_length=200)\\n Product_name = serializers.CharField(max_length=200)\\n Price = serializers.FloatField(max_value=None, min_value=None)\\n Description = serializers.CharField(max_length=500)\\n\\n\\nclass OrderItemSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Order_Item\\n fields = ('Product_id', 'Product_id_id', 'Order_id_id', 'Order_id', 'Quantity')\\n\\n\\nclass ResSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Restaurant\\n fields = ('__all__')\\n\\n\\nclass OrderSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Order\\n fields = ('__all__')\\n\\n\\nclass MenuSerializer(serializers.ModelSerializer):\\n class Meta:\\n model = Menu\\n fields = ('Type', 'Menu_id', 'Res_id', 'Res_id_id')\\n\"\n },\n {\n \"alpha_fraction\": 0.5809839963912964,\n \"alphanum_fraction\": 0.5848535299301147,\n \"avg_line_length\": 24.125,\n \"blob_id\": \"e422971c4a055de69932105aaa9b361a9898b4bc\",\n \"content_id\": \"a26eed3fd78643e10dc63d6166bb4573a5976356\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"HTML\",\n \"length_bytes\": 1809,\n \"license_type\": \"no_license\",\n \"max_line_length\": 93,\n \"num_lines\": 72,\n \"path\": \"/capstone/web/templates/web/payment_list.html\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"<!DOCTYPE html>\\n<html lang=\\\"en\\\">\\n<head>\\n\\t{% block title %}<title>Payment Details</title>{% endblock %}\\n\\t<meta charset=\\\"utf-8\\\">\\n\\t<meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1\\\">\\n\\t<link href=\\\"https://v4-alpha.getbootstrap.com/dist/css/bootstrap.min.css\\\" rel=\\\"stylesheet\\\" >\\n\\t<!-- Add additional CSS in static file -->\\n\\t{% load static %}\\n\\t<link href=\\\"{% static 'css/styles.css' %}\\\" rel=\\\"stylesheet\\\">\\n</head>\\n\\n<body> \\n\\n{% block content %}\\n\\n\\t<div class=\\\"table_container\\\">\\n\\t\\t<table class=\\\"table table-striped\\\">\\n\\t\\t<tr id=\\\"table_head\\\">\\n\\t\\t\\t<th>Order_ID</th>\\n\\t\\t\\t<th>Pre_Tips</th>\\n\\t\\t\\t<th>Tips</th>\\n\\t\\t\\t<th>Total Payment</th>\\n\\t\\t\\t<th>Timestamp</th>\\n\\t\\t</tr>\\n\\t\\t{% for object in object_list %}\\n\\t\\t<tr>\\n\\t\\t\\t<td>{{ object.Order_id }}</td>\\n\\t\\t\\t<td>{{ object.Pre_tips }}</td>\\n\\t\\t\\t<td>{{ object.Tips }}</td>\\n\\t\\t\\t<td>{{ object.Total}}</td>\\n\\t\\t\\t<td>{{ object.Timestamp }}</td>\\n\\t\\t</tr>\\n\\t\\t{% endfor %}\\n\\t\\t</table>\\n\\t</div>\\n <p></p>\\n\\t<center>\\n\\t\\t<a href=\\\"/web/order/\\\" class=\\\"btn btn-md btn-secondary\\\">Order Details</a>\\n\\t  \\n\\t\\t<a href=\\\"/accounts/logout/\\\" class=\\\"btn btn-md btn-secondary\\\">Log Out</a>\\n\\t</center>\\t\\n\\t\\n{% endblock %}\\n\\n{% block pagination %}\\n\\t{% if is_paginated %}\\n\\t\\t<div class=\\\"pagination\\\">\\n\\t\\t\\t<div class=\\\"pbarcenter\\\">\\n\\t\\t\\t\\t<span class=\\\"page-links\\\">\\n\\t\\t\\t\\t{% if page_obj.has_previous %}\\n\\t\\t\\t\\t\\t<a href=\\\"{{ request.path }}?page={{ page_obj.previous_page_number }}\\\">previous</a>\\n\\t\\t\\t\\t{% endif %}\\n\\t\\t\\t\\t<span class=\\\"page-current\\\">\\n\\t\\t\\t\\tPage {{ page_obj.number }} of {{ page_obj.paginator.num_pages }}.\\n\\t\\t\\t\\t</span>\\n\\t\\t\\t\\t{% if page_obj.has_next %}\\n\\t\\t\\t\\t\\t<a href=\\\"{{ request.path }}?page={{ page_obj.next_page_number }}\\\">next</a>\\n\\t\\t\\t\\t{% endif %}\\n\\t\\t\\t\\t</span>\\t\\n\\t\\t\\t\\t<p></p>\\n\\t\\t\\t\\t\\n\\t\\t\\t</div>\\n\\t\\t</div>\\n\\t{% endif %}\\n{% endblock %}\\n\\n<footer>\\n<p class=\\\"footer\\\"> © 2017 SCU Bluetooth Capstone Team </p>\\n</footer>\\n</body>\\n</html>\\n\"\n },\n {\n \"alpha_fraction\": 0.6850152611732483,\n \"alphanum_fraction\": 0.6916412115097046,\n \"avg_line_length\": 31.147541046142578,\n \"blob_id\": \"5198331d0ef836e23f3cf752b4907c83035d2702\",\n \"content_id\": \"4cfed82f718b8bc55ba72c3f4f9bbe2607c18166\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1962,\n \"license_type\": \"no_license\",\n \"max_line_length\": 88,\n \"num_lines\": 61,\n \"path\": \"/capstone/capstone/urls.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"\\\"\\\"\\\"capstone URL Configuration\\n\\n\\nThe `urlpatterns` list routes URLs to views. For more information please see:\\n https://docs.djangoproject.com/en/1.11/topics/http/urls/\\nExamples:\\nFunction views\\n 1. Add an import: from my_app import views\\n 2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')\\nClass-based views\\n 1. Add an import: from other_app.views import Home\\n 2. Add a URL to urlpatterns: url(r'^$', Home.as_view(), name='home')\\nIncluding another URLconf\\n 1. Import the include() function: from django.conf.urls import url, include\\n 2. Add a URL to urlpatterns: url(r'^blog/', include('blog.urls'))\\n\\\"\\\"\\\"\\n\\nfrom restapi.views import*\\nfrom django.conf.urls import url\\nfrom django.contrib import admin\\n\\nurlpatterns = [\\n\\t\\n # urls for the REST services: \\n url(r'^menu/',menu_list2),\\n url(r'^order_item/',order_item),\\t \\n url(r'^admin/', admin.site.urls),\\n url(r'^menus/(\\\\w+)',menu_list),\\n url(r'^menu_item/(\\\\w+)',menu_item),\\n url(r'^create_order/',new_order),\\n url(r'^resturant/(\\\\w+)',get_res_info),\\n url(r'^pay/',pay),\\n \\n\\n]\\n\\n# Use include() to add URLS from the web application \\nfrom django.conf.urls import include\\n\\nurlpatterns += [\\n\\turl(r'^api-auth/', include('rest_framework.urls', namespace='rest_framework')),\\n\\turl(r'^web/', include('web.urls')),\\n\\turl(r'^markdownx/', include('markdownx.urls')),\\n]\\n\\n# Add URL maps to redirect the base URL to our application\\nfrom django.views.generic import RedirectView\\nurlpatterns += [\\n\\turl(r'^$', RedirectView.as_view(url='/web/', permanent=True)),\\n]\\n\\n# Use static() to add url mapping to serve static files during development (only)\\nfrom django.conf import settings\\nfrom django.conf.urls.static import static\\n\\nurlpatterns += static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)\\n\\n#Add Django site authentication urls (for login, logout, password management) - Xie 11/6\\nurlpatterns += [\\n\\turl(r'^accounts/', include('django.contrib.auth.urls')),\\n]\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.8032786846160889,\n \"alphanum_fraction\": 0.811475396156311,\n \"avg_line_length\": 39.66666793823242,\n \"blob_id\": \"5dd78a627a6c64f6d86d516ce40f863be9532fde\",\n \"content_id\": \"205429661a7651f26f585b47c1b093ede3b2d55d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 122,\n \"license_type\": \"no_license\",\n \"max_line_length\": 97,\n \"num_lines\": 3,\n \"path\": \"/README.md\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# BracoStore5_capstone\\n\\nCapstone project - An Automatic Self - Checkout Solution Featured with BLE Beacon(Android system)\\n\"\n },\n {\n \"alpha_fraction\": 0.6595091819763184,\n \"alphanum_fraction\": 0.6595091819763184,\n \"avg_line_length\": 28.636363983154297,\n \"blob_id\": \"bbdfee5dabe728ce1cfb662380dabf025a7b9053\",\n \"content_id\": \"ff84afc51858a96e67bfe280a8a1bce1ad6ff106\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 326,\n \"license_type\": \"no_license\",\n \"max_line_length\": 67,\n \"num_lines\": 11,\n \"path\": \"/capstone/web/urls.py\",\n \"repo_name\": \"wtt4477/BracoStore5_capstone\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from django.conf.urls import url\\n\\nfrom . import views\\n\\n#mapping for web pages\\nurlpatterns = [\\n\\turl(r'^$', views.index, name='index'),\\n\\turl(r'^order/$', views.OrderDetail.as_view(), name='order'),\\n\\turl(r'^(?P<pk>\\\\d+)/$', views.statusUpdate, name='status'),\\n\\turl(r'^payment/$', views.PaymentDetail.as_view(), name='payment'),\\n]\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":18,"string":"18"}}},{"rowIdx":2976990,"cells":{"repo_name":{"kind":"string","value":"Bocard23/network_mon"},"repo_url":{"kind":"string","value":"https://github.com/Bocard23/network_mon"},"snapshot_id":{"kind":"string","value":"c3f77ea5717e5add423171f45a6df0d762969d84"},"revision_id":{"kind":"string","value":"0310a3318a24f452e652a546d115f12ae28cef8f"},"directory_id":{"kind":"string","value":"2d0fe95483d77471f87144456143240f86f3fb09"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-05-10T22:58:17.071939","string":"2021-05-10T22:58:17.071939"},"revision_date":{"kind":"timestamp","value":"2018-01-20T19:03:28","string":"2018-01-20T19:03:28"},"committer_date":{"kind":"timestamp","value":"2018-01-20T19:03:28","string":"2018-01-20T19:03:28"},"github_id":{"kind":"number","value":118271987,"string":"118,271,987"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5318328142166138,"alphanum_fraction":0.5517684817314148,"avg_line_length":26.280702590942383,"blob_id":"eefcdb58a830197740bd264b08b3087dca16d06b","content_id":"f50f4730f868214cc0007542b051593fad49e73e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1555,"license_type":"no_license","max_line_length":78,"num_lines":57,"path":"/network_mon.py","repo_name":"Bocard23/network_mon","src_encoding":"UTF-8","text":"import subprocess\nimport re\nimport http.client\nimport urllib\n\n\ndef summary():\n for i in range(len(macs)):\n print(ips[i], macs[i], names[i])\n\n\ndef get_whitelisted():\n with open('whitelist.txt') as f:\n whitelisted = f.readlines()\n whitelisted = [x[0:17] for x in whitelisted]\n return whitelisted\n\n\ndef notify(ip, mac, name):\n print(ip, mac, name)\n\n conn = http.client.HTTPSConnection(\"api.pushover.net:443\")\n conn.request(\"POST\", \"/1/messages.json\",\n urllib.parse.urlencode({\n \"token\": \"app_token\",\n \"user\": \"user_token\",\n \"message\": \"Name: %s, IP: %s, MAC: %s\" % (name, ip, mac),\n }), {\"Content-type\": \"application/x-www-form-urlencoded\"})\n conn.getresponse()\n\n\nnmap = subprocess.Popen(['nmap', '-sn', '192.168.0.0/24'],\n stdout=subprocess.PIPE)\nipout = nmap.communicate()[0]\n\nips = []\nmacs = []\nnames = []\n\nlines = ipout.splitlines()\nfor line in lines[2:-1]:\n line = str(line)\n if 'Nmap scan' in line:\n ip = re.findall(r'[0-9]+(?:\\.[0-9]+){3}', line)\n ips = ips + ip\n if 'MAC Address' in line:\n mac = re.findall(r'(?:[0-9a-fA-F]:?){12}', line)\n macs = macs + mac\n name = line[line.find(\"(\")+1:line.find(\")\")]\n names.append(name)\n\nsummary()\nnot_whitelisted = set(macs) - set(get_whitelisted())\nif len(not_whitelisted) > 0:\n for item in not_whitelisted:\n index = macs.index(item)\n notify(ips[index], macs[index], names[index])\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5318328142166138,\n \"alphanum_fraction\": 0.5517684817314148,\n \"avg_line_length\": 26.280702590942383,\n \"blob_id\": \"eefcdb58a830197740bd264b08b3087dca16d06b\",\n \"content_id\": \"f50f4730f868214cc0007542b051593fad49e73e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1555,\n \"license_type\": \"no_license\",\n \"max_line_length\": 78,\n \"num_lines\": 57,\n \"path\": \"/network_mon.py\",\n \"repo_name\": \"Bocard23/network_mon\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import subprocess\\nimport re\\nimport http.client\\nimport urllib\\n\\n\\ndef summary():\\n for i in range(len(macs)):\\n print(ips[i], macs[i], names[i])\\n\\n\\ndef get_whitelisted():\\n with open('whitelist.txt') as f:\\n whitelisted = f.readlines()\\n whitelisted = [x[0:17] for x in whitelisted]\\n return whitelisted\\n\\n\\ndef notify(ip, mac, name):\\n print(ip, mac, name)\\n\\n conn = http.client.HTTPSConnection(\\\"api.pushover.net:443\\\")\\n conn.request(\\\"POST\\\", \\\"/1/messages.json\\\",\\n urllib.parse.urlencode({\\n \\\"token\\\": \\\"app_token\\\",\\n \\\"user\\\": \\\"user_token\\\",\\n \\\"message\\\": \\\"Name: %s, IP: %s, MAC: %s\\\" % (name, ip, mac),\\n }), {\\\"Content-type\\\": \\\"application/x-www-form-urlencoded\\\"})\\n conn.getresponse()\\n\\n\\nnmap = subprocess.Popen(['nmap', '-sn', '192.168.0.0/24'],\\n stdout=subprocess.PIPE)\\nipout = nmap.communicate()[0]\\n\\nips = []\\nmacs = []\\nnames = []\\n\\nlines = ipout.splitlines()\\nfor line in lines[2:-1]:\\n line = str(line)\\n if 'Nmap scan' in line:\\n ip = re.findall(r'[0-9]+(?:\\\\.[0-9]+){3}', line)\\n ips = ips + ip\\n if 'MAC Address' in line:\\n mac = re.findall(r'(?:[0-9a-fA-F]:?){12}', line)\\n macs = macs + mac\\n name = line[line.find(\\\"(\\\")+1:line.find(\\\")\\\")]\\n names.append(name)\\n\\nsummary()\\nnot_whitelisted = set(macs) - set(get_whitelisted())\\nif len(not_whitelisted) > 0:\\n for item in not_whitelisted:\\n index = macs.index(item)\\n notify(ips[index], macs[index], names[index])\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2976991,"cells":{"repo_name":{"kind":"string","value":"Algias/UCF_Baxter_Grasp"},"repo_url":{"kind":"string","value":"https://github.com/Algias/UCF_Baxter_Grasp"},"snapshot_id":{"kind":"string","value":"c9bfa88331ef6312a5d006d7d470989a1ab934c6"},"revision_id":{"kind":"string","value":"dd35ecd4275d7d1d4a4209ab5907eb80e902b54b"},"directory_id":{"kind":"string","value":"a2c9cc19c80558a4f127fabfbc8d16f7f424a7ee"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-05-01T11:44:41.890614","string":"2021-05-01T11:44:41.890614"},"revision_date":{"kind":"timestamp","value":"2016-10-17T12:52:32","string":"2016-10-17T12:52:32"},"committer_date":{"kind":"timestamp","value":"2016-10-17T12:52:32","string":"2016-10-17T12:52:32"},"github_id":{"kind":"number","value":61303046,"string":"61,303,046"},"star_events_count":{"kind":"number","value":3,"string":"3"},"fork_events_count":{"kind":"number","value":1,"string":"1"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6179700493812561,"alphanum_fraction":0.6259567141532898,"avg_line_length":39.06666564941406,"blob_id":"b8566284be0678955f682d4906d7dff864dcabab","content_id":"f39b3d92b2857e63716182a46bbae83594f0b9ce","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3005,"license_type":"no_license","max_line_length":110,"num_lines":75,"path":"/scripts/camera_streamer.py","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\nimport baxter_interface\nimport rospy\nfrom sensor_msgs.msg import Image\nimport sys\nimport struct\nimport argparse\n\n\nrospy.init_node(\"my_cam\")\ndisplay_pub= rospy.Publisher('/robot/xdisplay',Image)\ndef republish(msg):\n \"\"\"\n Sends the camera image to baxter's display\n \"\"\" \n display_pub.publish(msg)\ndef streamer(camera):\n if camera == \"head\":\n# left_camera = baxter_interface.CameraController(\"left_hand_camera\")\n# left_camera.close()\n# right_camera = baxter_interface.CameraController(\"right_hand_camera\")\n# right_camera.close()\n head_camera = baxter_interface.CameraController(\"head_camera\")\n head_camera.open()\n camera_name = \"head_camera\"\n head_camera.resolution =(960, 600)\n sub = rospy.Subscriber('/cameras/' + camera_name + \"/image\", Image,republish,None,1)\n \n if camera == \"right_hand_camera\":\n# left_camera = baxter_interface.CameraController(\"left_hand_camera\")\n# left_camera.close()\n right_camera = baxter_interface.CameraController(\"right_hand_camera\")\n right_camera.open()\n# head_camera = baxter_interface.CameraController(\"head_camera\")\n# head_camera.close()\n camera_name = \"right_hand_camera\"\n right_camera.resolution =(960, 600)\n\n sub = rospy.Subscriber('/cameras/' + camera_name + \"/image\", Image,republish,None,1)\n \n if camera == \"left_hand_camera\":\n left_camera = baxter_interface.CameraController(\"left_hand_camera\")\n left_camera.open()\n# right_camera = baxter_interface.CameraController(\"right_hand_camera\")\n# right_camera.close()\n# head_camera = baxter_interface.CameraController(\"head_camera\")\n# head_camera.close()\n camera_name = \"left_hand_camera\"\n left_camera.resolution =(960, 600)\n sub = rospy.Subscriber('/cameras/' + camera_name + \"/image\", Image,republish,None,1)\n \n if camera == \"kinect\":\n# left_camera = baxter_interface.CameraController(\"left_hand_camera\")\n# left_camera.close()\n# right_camera = baxter_interface.CameraController(\"right_hand_camera\")\n# right_camera.close()\n# head_camera = baxter_interface.CameraController(\"head_camera\")\n# head_camera.close()\n sub = rospy.Subscriber('/kinect2/sd/image_color_rect', Image,republish,None,1)\n \n rospy.spin()\ndef main():\n arg_fmt = argparse.RawDescriptionHelpFormatter\n parser = argparse.ArgumentParser(formatter_class=arg_fmt,\n description=main.__doc__)\n parser.add_argument(\n '-c', '--camera', choices=['head', 'left_hand_camera', 'right_hand_camera', 'kinect'], required=False,\n type = str,\n default=\"right_hand_camera\",\n help=\"the camera to display on baxter\"\n )\n args = parser.parse_args(rospy.myargv()[1:])\n streamer(args.camera)\nif __name__ == '__main__':\n sys.exit(main())\n"},{"alpha_fraction":0.7778453826904297,"alphanum_fraction":0.7821059226989746,"avg_line_length":30.596153259277344,"blob_id":"25040e5f3f780334c6ca039475f45332063b1a37","content_id":"c4998a682897fc52284dff6401198c897a60c12d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":1643,"license_type":"no_license","max_line_length":194,"num_lines":52,"path":"/README.md","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"# UCF_Baxter_Grasp\n\nThis repo deals with automating grasping objects with the Baxter Research robot.\n\n## Requirements:\n\n[Full baxter install](http://sdk.rethinkrobotics.com/wiki/Workstation_Setup)\n\n[Baxter MoveIt install](http://sdk.rethinkrobotics.com/wiki/MoveIt_Tutorial)\n\n[IAI Kinect2 bridge install](https://github.com/code-iai/iai_kinect2)\n\n##Grasp loop code\n\nEnsure connectivity with Baxter\nEnable baxter and launch moveit, and the kinect with:\n > roslaunch baxter_grasp baxter_grasp.launch\n \nRun the grasp loop code:\n>\n rosrun baxter_grasp grasp_loop_auto_nostop.py\n \nThis code takes in poses from the /mypose1 and /mypose2 topics. The arm will then attempt to plan a path and execute motions in order to autonomously grasp objects and place them in a container.\n\n##Camera calibrator\n\nThis file is intended to take clicked points and a calibrated frame and write their transforms to a file for use in matlab.\n\nThis allows for quick calibration of the kinect frame with respect to Baxter's base.\n\nTo run:\n \n >roslaunch baxter_Grasp baxter_camera.launch\n \n >rosrun baxter_grasp camera_calibrator.py\n\n##Camera streamer\n\nThis file places a camera stream on Baxter's head display.\n \n> roslaunch baxter_Grasp baxter_camera.launch\n> rosrun baxter_grasp camera_streamer.py\n\n##click_to_point code: \n\nAllows the user to click three points on a pointcloud, and create a pose that that fits the position. Points 1 and 2 are for the gripper closing direction, and point 3 creates the orientation\n >roslaunch baxter_grasp baxter_grasp.launch\n >rosrun baxter_grasp click_to_point.py\n\n##camera.rviz\n\nSaved RVIZ layout for camera calibrations.\n"},{"alpha_fraction":0.46003326773643494,"alphanum_fraction":0.4706156551837921,"avg_line_length":38.12760543823242,"blob_id":"069e4a6110dfae97759b30b20ba87e52c7a002ff","content_id":"36f2b1de7b39af6e3ac6ddc325238880bc8868f2","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":15025,"license_type":"no_license","max_line_length":102,"num_lines":384,"path":"/scripts/grasp_loop_auto_nostop.py","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n\nimport baxter_external_devices\nfrom baxter_interface import CHECK_VERSION\nimport baxter_interface\nimport copy\nfrom geometry_msgs.msg import (\n PoseStamped,\n Pose,\n Point,\n Quaternion,\n)\nimport geometry_msgs.msg\nimport moveit_commander\nimport moveit_msgs.msg\nimport std_srvs.srv\nimport rospy\nfrom std_msgs.msg import Header\nfrom std_msgs.msg import String\nfrom std_srvs.srv import Empty\nimport sys\n\n\nclass ReceivePoses:\n \n \n def __init__(self):\n self.final_pose = PoseStamped()\n self.stop_pose = PoseStamped()\n\n def callback(self, data):\n self.stop_pose = data;\n # rospy.loginfo(rospy.get_caller_id() + \" \\n %s\", self.stop_pose)\n \n def listen(self):\n rospy.Subscriber(\"/mypose1\", PoseStamped, self.callback)\n rospy.Subscriber(\"/mypose2\", PoseStamped, self.callback2)\n rospy.sleep(0.2)\n \n def callback2(self, data):\n self.final_pose = data;\n # rospy.loginfo(rospy.get_caller_id() + \" \\n %s\", self.final_pose)\n \n\n \nclass GraspLoop():\n \n def __init__(self):\n moveit_commander.roscpp_initialize(sys.argv)\n \n rospy.init_node('grasper_loop',\n anonymous=True)\n \n self.robot = moveit_commander.RobotCommander()\n self.scene = moveit_commander.PlanningSceneInterface()\n self.group = moveit_commander.MoveGroupCommander(\"right_arm\")\n \n self.group.allow_replanning(True)\n \n self.group.set_goal_orientation_tolerance(0.01)\n self.group.set_goal_position_tolerance(0.01)\n \n self.grip_right = baxter_interface.Gripper('right', CHECK_VERSION)\n \n self.display_trajectory_publisher = rospy.Publisher(\n '/move_group/display_planned_path',\n moveit_msgs.msg.DisplayTrajectory,\n queue_size=10)\n \n #Creates instance of class for subscribing to and listening to poses\n self.Grasp = ReceivePoses()\n \n self.group.set_num_planning_attempts(3)\n \n #Defines initial starting pose to return to (joint angles)\n self.initpose = [1.093728,\n - 0.76929136,\n - 0.14764565,\n 0.98174770,\n 0.08091748,\n 1.34338367,\n 3.0]\n # 1.7 works as well for last number\n \n #Clears the scene in case of leftover objects\n self.scene.remove_world_object(\"box1\")\n self.scene.remove_world_object(\"table\")\n self.scene.remove_world_object(\"kinect\")\n \n #Runs the main loop function\n self.grasper_loop()\n \n def update_pose(self, pose_input):\n \n n_pose = geometry_msgs.msg.Pose()\n \n if isinstance(pose_input, list):\n n_pose.position.x = pose_input[0]\n n_pose.position.y = pose_input[1]\n n_pose.position.z = pose_input[2]\n n_pose.orientation.x = pose_input[3]\n n_pose.orientation.y = pose_input[4]\n n_pose.orientation.z = pose_input[5]\n n_pose.orientation.w = pose_input[6]\n return n_pose\n \n if isinstance(pose_input, geometry_msgs.msg.Pose):\n n_pose.position.x = pose_input.position.x\n n_pose.position.y = pose_input.position.y\n n_pose.position.z = pose_input.position.z\n n_pose.orientation.x = pose_input.orientation.x\n n_pose.orientation.y = pose_input.orientation.y\n n_pose.orientation.z = pose_input.orientation.z\n n_pose.orientation.w = pose_input.orientation.w\n return n_pose\n \n if isinstance(pose_input, geometry_msgs.msg.PoseStamped):\n n_pose.position.x = pose_input.pose.position.x\n n_pose.position.y = pose_input.pose.position.y\n n_pose.position.z = pose_input.pose.position.z\n n_pose.orientation.x = pose_input.pose.orientation.x\n n_pose.orientation.y = pose_input.pose.orientation.y\n n_pose.orientation.z = pose_input.pose.orientation.z\n n_pose.orientation.w = pose_input.pose.orientation.w\n return n_pose\n \n else: \n return Empty() \n print \"error\"\n \n def go_cartesian(self, pose):\n n_waypoint = []\n n_waypoint.append(pose) \n (n_plan, n_fraction) = self.group.compute_cartesian_path(n_waypoint,\n .01, 0.0, False)\n print \"===== Moving in Cartesian Path =====\"\n print \"===== Percentage of Path followed: \", (n_fraction / 1.00 * 100), \" % =====\"\n if n_fraction > 0:\n return self.group.execute(n_plan)\n return False\n \n def clear_map(self):\n rospy.wait_for_service(\"/clear_octomap\")\n try:\n h = rospy.ServiceProxy(\"/clear_octomap\", std_srvs.srv.Empty())\n h()\n except rospy.ServiceException, e:\n print \"Service call failed: %s\" % e\n \n def print_results(self,result,motion):\n if result:\n print \"===== Successfully went to \", motion,\" =====\"\n if not result:\n print \"====== Attempt to go to \", motion, \"failed =====\"\n \n def grasper_loop(self):\n \n print \"===== Starting test code =====\"\n ready_for_pose = bool\n #set to true for grippers to be used\n use_gripper = True\n #Set to true for clearing octomap\n octomap = True\n # set to true for attached object\n object = True\n\n pose_table = geometry_msgs.msg.PoseStamped()\n pose_table.header.frame_id = \"base\"\n pose_table.pose = self.update_pose([.5, -.92, -.71, 0, 0, 0, 1])\n \n pose_kinect = geometry_msgs.msg.PoseStamped()\n pose_kinect.header.frame_id = \"base\"\n pose_kinect.pose = self.update_pose([-.1325, -.45, -.4, 0, 0, 1, 0])\n \n pose_generic = geometry_msgs.msg.PoseStamped()\n pose_generic.header.frame_id = \"right_gripper\"\n pose_generic.pose = self.update_pose([0, 0, 0, 0, 0, 0, 1])\n \n rospy.sleep(.5)\n \n self.scene.add_box(\"table\", pose_table, size=(1.1, 1.1, 1.1))\n self.scene.add_box(\"kinect\", pose_kinect, size=(.25, .25, 1.25))\n \n if octomap:\n self.clear_map()\n \n # Wait for scene to be updated with table\n print\"=====Waiting for scene to be updated =====\"\n rospy.sleep(3.0)\n \n # Wait until first point is selected, or quit out if you need to\n n = raw_input(\"\\n!!!!! Enter to continue or q to quit(Ensure first point is selected)!!!!!\\n\")\n \n if n == \"^C\" or n == \"q\":\n moveit_commander.roscpp_shutdown()\n if n == \"\":\n pass\n else:\n moveit_commander.roscpp_shutdown()\n \n if use_gripper:\n self.grip_right.calibrate()\n \n if octomap:\n self.clear_map() \n \n self.group.set_joint_value_target(self.initpose)\n \n print \"===== Going to intial pose =====\"\n first_go_initial = self.group.go(wait=True)\n \n if octomap:\n self.clear_map() \n \n # For automatic picking\n pose_previous = geometry_msgs.msg.Pose()\n \n first_motion = True\n \n while not rospy.is_shutdown():\n \n first_stop_move = bool\n go_final = bool\n second_stop_move = bool\n \n self.Grasp.listen()\n \n if self.Grasp.final_pose.pose != pose_previous:\n \n pose_previous = self.Grasp.final_pose.pose\n rospy.sleep(.5)\n \n if use_gripper:\n self.grip_right.open()\n \n self.scene.remove_world_object(\"box1\") \n \n #If this is not the first motion, and returning initial failed,\n #Try to go to initial again\n if first_motion == False and return_initial == False:\n print\"===== Returning to initial position after previous failure =====\"\n if octomap:\n self.clear_map() \n self.group.set_joint_value_target(self.initpose)\n first_go_initial = self.group.go(wait=True)\n self.print_results(first_go_initial, \"return initial\")\n \n return_initial = bool\n\n # This is the go to stop pose function\n # If the arm is in the initial position, go to stop pose\n if first_go_initial is True:\n \n if octomap:\n self.clear_map()\n \n first_motion = False\n \n print \"===== Generating plan - stop pose =====\"\n pose_target1 = geometry_msgs.msg.Pose()\n pose_target1 = self.update_pose(self.Grasp.stop_pose.pose)\n self.group.set_pose_target(pose_target1)\n first_stop_move = self.group.go(wait=True)\n self.print_results(first_stop_move,\"stop pose\")\n \n rospy.sleep(.5)\n \n self.group.clear_pose_targets()\n \n # This is the move to final pose function\n # If the arm is at the stop pose position, move to final pose\n if first_stop_move is True:\n \n print \"===== Generating plan - final pose =====\"\n \n if octomap:\n self.clear_map()\n \n pose_target2 = geometry_msgs.msg.Pose()\n pose_target2 = self.update_pose(self.Grasp.final_pose.pose)\n go_final = self.go_cartesian(pose_target2)\n self.print_results(go_final, \"final pose\")\n \n rospy.sleep(.5)\n \n # This is the return to stop pose function\n if go_final is True:\n \n print \"===== Closing Gripper =====\"\n if use_gripper:\n self.grip_right.close()\n \n if octomap:\n self.clear_map() \n \n rospy.sleep(2)\n self.group.clear_pose_targets()\n \n if object:\n print\"===== Attaching collision object =====\"\n self.scene.attach_box(\"right_gripper\", \"box1\",\n pose=pose_generic,\n size=(.2, .2, .2),\n touch_links=[\"right_gripper\",\n \"r_gripper_r_finger_tip\",\n \"r_gripper_r_finger\",\n \"r_gripper_l_finger\",\n \"r_gripper_l_finger_tip\",\n \"right_gripper_base\",\n \"right_hand_range\",\n \"right_hand_camera\",\n \"right_hand\",\n \"right_wrist\",\n \"right_lower_forearm\",\n \"right_hand_accelerometer\"])\n rospy.sleep(1)\n \n print \"===== Generating plan - back to stop pose =====\"\n second_stop_move = self.go_cartesian(pose_target1)\n self.print_results(second_stop_move,\"return stop pose\")\n \n rospy.sleep(1.5)\n \n self.group.clear_pose_targets()\n \n \n # if the arm returned to stop pose, return to initial\n if second_stop_move is True:\n if octomap:\n self.clear_map() \n print \"===== Generating plan - back to initial pose =====\"\n self.group.set_joint_value_target(self.initpose)\n \n return_initial = self.group.go(wait=True)\n self.print_results(return_initial, \"return initial\")\n \n rospy.sleep(.5)\n \n if use_gripper:\n self.grip_right.open()\n \n self.group.clear_pose_targets()\n rospy.sleep(1)\n \n # If the arm returned to initial successfully\n if return_initial is True:\n print\"===== Pickup Succeeded =====\"\n else:\n print\"===== Pickup failed =====\"\n \n self.scene.remove_attached_object(\"right_gripper\")\n self.scene.remove_world_object(\"box1\")\n \n rospy.sleep(2.0)\n ready_for_pose = False\n #Ensures that waiting for new pose is printed only once\n #Also only prints if it had not received a new pose\n if go_final == False or second_stop_move == False:\n return_initial = False\n \n if first_motion == False and (first_stop_move == False or second_stop_move == False):\n print\"===== Returning to initial position after previous failure =====\"\n if octomap:\n self.clear_map() \n self.group.set_joint_value_target(self.initpose)\n return_initial = self.group.go(wait=True)\n self.print_results(first_go_initial, \"return initial\")\n \n \n if self.Grasp.final_pose.pose == pose_previous and not ready_for_pose:\n print \"===== Waiting for new pose... =====\\n\"\n ready_for_pose = True\n \n # Rate at which the loop executes, when waiting for new poses\n rate = rospy.Rate(1) # 1hz\n rate.sleep()\n \n moveit_commander.roscpp_shutdown()\n\nif __name__ == '__main__':\n try:\n run = GraspLoop()\n except rospy.ROSInterruptException:\n pass\n"},{"alpha_fraction":0.4656802713871002,"alphanum_fraction":0.49474698305130005,"avg_line_length":36.946842193603516,"blob_id":"ae763fe40ae06d672aef48249cb19cbeb7bfd3db","content_id":"bc19285ff92d3eb06835e314403424f5e4221a80","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11422,"license_type":"no_license","max_line_length":97,"num_lines":301,"path":"/scripts/click_to_point_array.py","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\nimport copy\nfrom geometry_msgs.msg import (\n PoseStamped,\n PointStamped,\n Pose,\n Point,\n Quaternion,\n PoseArray,\n)\nimport geometry_msgs.msg\nimport numpy\nimport rospy\nfrom rospy.numpy_msg import numpy_msg\nfrom std_msgs.msg import Header\nfrom std_msgs.msg import String\nfrom std_msgs.msg import Empty\nimport sys\n\n#===============================================================================\n# DESCRIPTION\n# This script takes 3 points from the RVIZ /clicked_point publisher and finds a\n# pose calculation to fit those three points. It then publishes two poses, a\n# stop pose and a final pose for the gripper.\n# USAGE\n# The first two points create the axis of rotation for the closing of grippers,\n# and the third point finds the final orientation. The centroid of the three\n# points is used as the position\n# ROS INFORMATION\n# Subscribes to rviz's /clicked_point publisher.\n# Publishes to mypose1 and mypose2\n#===============================================================================\nclass PointClick:\n \n def __init__(self):\n # Initialize global variables\n self.clickedPoint = PointStamped()\n self.point1 = []\n self.point2 = []\n self.point3 = []\n \n def callback(self, data):\n self.clickedPoint = data;\n # Uncomment to print out subscriber \n # rospy.loginfo(rospy.get_caller_id() + \" \\n %s\", self.clickedPoint)\n \n def listen(self):\n # Subscribe to /clicked_point topic from RVIZ\n rospy.Subscriber(\"/clicked_point\", PointStamped, self.callback)\n rospy.sleep(0.2)\n \n def print_points(self):\n # Print out point values\n print \"point 1: \", self.point1\n print \"point 2: \", self.point2\n print \"point 3: \", self.point3\n \n def update_array(self,obj1,pose_s,pose_n):\n _n_pose = geometry_msgs.msg.Pose()\n _n_pose.position.x = pose_n.position.x\n _n_pose.position.y = pose_n.position.y\n _n_pose.position.z = pose_n.position.z\n _n_pose.orientation.x = pose_n.orientation.x\n _n_pose.orientation.y = pose_n.orientation.y\n _n_pose.orientation.z = pose_n.orientation.z\n _n_pose.orientation.w = pose_n.orientation.w\n \n _s_pose = geometry_msgs.msg.Pose()\n _s_pose.position.x = pose_s.position.x\n _s_pose.position.y = pose_s.position.y\n _s_pose.position.z = pose_s.position.z\n _s_pose.orientation.x = pose_s.orientation.x\n _s_pose.orientation.y = pose_s.orientation.y\n _s_pose.orientation.z = pose_s.orientation.z\n _s_pose.orientation.w = pose_s.orientation.w\n\n\n\n obj1.posearray_s.poses.append(_s_pose)\n obj1.posearray_n.poses.append(_n_pose)\n \n def point_clicker(self):\n print \"*****Starting point_clicker Node\"\n rospy.init_node('point_clicker',\n anonymous=True)\n \n # Subscribe to /clicked_point\n self.listen()\n \n num_object = int(raw_input(\"Enter Number of objects: \"))\n \n # Create publishers\n pubpose1 = rospy.Publisher('myposearray1', PoseArray, queue_size=5)\n pubpose2 = rospy.Publisher('myposearray2', PoseArray, queue_size=5)\n \n # Initialize variables\n previousPoint = geometry_msgs.msg.Point()\n n = 0\n w = 0\n obj1 = PoseCalc()\n \n print \"Enter point number: 1 \\n\"\n pose_previous = geometry_msgs.msg.PoseStamped()\n for x in xrange(0,num_object):\n\n while not rospy.is_shutdown():\n \n # if we have a full set of points, and \n # the clicked point is new, reset points\n # and use the new point as the first point\n #print w,\" \",num_object\n if n == 4 and self.clickedPoint.point != previousPoint:\n n = 2\n self.point1 = obj1.update_point(self.clickedPoint.point)\n self.point2 = []\n self.point3 = []\n \n previousPoint = self.clickedPoint.point\n \n self.print_points()\n print \"\\n Enter point number\", n\n \n # if the point counter is less than 4, and the \n # clicked point is new, update the point\n \n if n < 4 and self.clickedPoint.point != previousPoint:\n \n if n == 1:\n self.point1 = obj1.update_point(self.clickedPoint.point)\n \n if n == 2:\n self.point2 = obj1.update_point(self.clickedPoint.point)\n \n if n == 3:\n self.point3 = obj1.update_point(self.clickedPoint.point)\n \n if n is not 0:\n self.print_points()\n \n if n != 0 and n < 3: print \"\\n Enter point number: \", n + 1\n \n if n == 3: print \"\\n Enter point 1 for new pose\" \n n += 1\n \n previousPoint = self.clickedPoint.point\n \n # if we have all points in the set, \n # calculate two poses based on that set\n \n if self.point1 and self.point2 and self.point3:\n obj1.calculate_pose(self.point1, self.point2, self.point3)\n self.update_array(obj1, obj1.pose_s.pose,obj1.pose_n.pose)\n self.point1 = []\n self.point2 = []\n self.point3 = []\n break\n w += 1\n \n rate = rospy.Rate(1) # 1hz\n rate.sleep()\n \n pubpose1.publish(obj1.posearray_n)\n pubpose2.publish(obj1.posearray_s) \n #rospy.spin()\n\nclass PoseCalc:\n \n def __init__(self):\n \n self.pose_n = geometry_msgs.msg.PoseStamped()\n self.pose_s = geometry_msgs.msg.PoseStamped()\n\n self.posearray_n = geometry_msgs.msg.PoseArray()\n self.posearray_s = geometry_msgs.msg.PoseArray()\n\n self.pose_n.header.frame_id = \"base\"\n self.pose_s.header.frame_id = \"base\"\n \n self.posearray_n.header.frame_id = \"base\"\n self.posearray_s.header.frame_id = \"base\"\n \n def get_quaternion(self, lst1, lst2, matchlist=None):\n # Python implementation of this method:\n # Paul J. Besl and Neil D. McKay \"Method for registration of 3-D shapes\", \n # Sensor Fusion IV: Control Paradigms and Data Structures, \n # 586 (April 30, 1992); http://dx.doi.org/10.1117/12.57955\n if not matchlist:\n matchlist = range(len(lst1))\n M = numpy.matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]])\n \n for i, coord1 in enumerate(lst1):\n x = numpy.matrix(numpy.outer(coord1, lst2[matchlist[i]]))\n M = M + x\n \n N11 = float(M[0][:, 0] + M[1][:, 1] + M[2][:, 2])\n N22 = float(M[0][:, 0] - M[1][:, 1] - M[2][:, 2])\n N33 = float(-M[0][:, 0] + M[1][:, 1] - M[2][:, 2])\n N44 = float(-M[0][:, 0] - M[1][:, 1] + M[2][:, 2])\n N12 = float(M[1][:, 2] - M[2][:, 1])\n N13 = float(M[2][:, 0] - M[0][:, 2])\n N14 = float(M[0][:, 1] - M[1][:, 0])\n N21 = float(N12)\n N23 = float(M[0][:, 1] + M[1][:, 0])\n N24 = float(M[2][:, 0] + M[0][:, 2])\n N31 = float(N13)\n N32 = float(N23)\n N34 = float(M[1][:, 2] + M[2][:, 1])\n N41 = float(N14)\n N42 = float(N24)\n N43 = float(N34)\n \n N = numpy.matrix([[N11, N12, N13, N14], \\\n [N21, N22, N23, N24], \\\n [N31, N32, N33, N34], \\\n [N41, N42, N43, N44]])\n \n \n values, vectors = numpy.linalg.eig(N)\n w = list(values)\n mw = max(w)\n quat = vectors[:, w.index(mw)]\n quat = numpy.array(quat).reshape(-1,).tolist()\n return quat\n \n def update_point(self, ClickedPoint):\n nPoint = [0, 0, 0]\n nPoint[0] = ClickedPoint.x\n nPoint[1] = ClickedPoint.y\n nPoint[2] = ClickedPoint.z\n # return [ClickedPoint.x,ClickedPoint.y,ClickedPoint.z]\n return nPoint\n \n def calculate_pose(self, point1, point2, point3):\n\n # Create Y axis and Z Axis\n VY = self.subtractPoints(point1, point2)\n VZ = numpy.cross(self.subtractPoints(point1, point2)\n , self.subtractPoints\n (point1, point3))\n \n # normalize Y and Z vectors\n VYn = VY / numpy.linalg.norm(VY)\n VZn = VZ / numpy.linalg.norm(VZ)\n \n # ensure that Z is correct orientation\n if numpy.abs(VZn[1]) > numpy.abs(VZn[2]):\n # Vy must be negative.\n VZn = -numpy.sign(VZn[1]) * VZn\n if numpy.abs(VZn[1]) < numpy.abs(VZn[2]):\n # Vz must be negative.\n VZn = -numpy.sign(VZn[2]) * VZn\n # create X vector\n VX = numpy.cross(VYn, VZn)\n \n # normalize the X vector\n VXn = VX / numpy.linalg.norm(VX)\n myFrame = [VXn, VYn, VZn]\n \n # Create Identity matrix\n nX = [1, 0, 0]\n nY = [0, 1, 0]\n nZ = [0, 0, 1]\n normalFrame = [nX, nY, nZ]\n \n # return transformation from one coordinate frame to another\n quat = self.get_quaternion(normalFrame, myFrame, matchlist=None)\n \n \n # find centroid of the three points to use as coordinates\n self.pose_n.pose.position.x = (point1[0] + point2[0] + point3[0]) / 3 + 0.04 * VZn[0]\n self.pose_n.pose.position.y = (point1[1] + point2[1] + point3[1]) / 3 + 0.04 * VZn[1]\n self.pose_n.pose.position.z = (point1[2] + point2[2] + point3[2]) / 3 + 0.04 * VZn[2]\n self.pose_n.pose.orientation.w = quat[0]\n self.pose_n.pose.orientation.x = quat[1]\n self.pose_n.pose.orientation.y = quat[2]\n self.pose_n.pose.orientation.z = quat[3]\n \n # stop pose\n \n # find centroid of the three points to use as coordinates and move\n # along the Z axis back .1 meters\n self.pose_s.pose.position.x = (point1[0] + point2[0] \n + point3[0]) / 3\n self.pose_s.pose.position.y = (point1[1] + point2[1] \n + point3[1]) / 3\n self.pose_s.pose.position.z = (point1[2] + point2[2] \n + point3[2]) / 3 + 0.20\n self.pose_s.pose.orientation.w = quat[0]\n self.pose_s.pose.orientation.x = quat[1]\n self.pose_s.pose.orientation.y = quat[2]\n self.pose_s.pose.orientation.z = quat[3] \n \n def subtractPoints(self, pf, pi):\n return numpy.subtract(pf, pi) \n \ndef main():\n run = PointClick()\n run.point_clicker()\n\nif __name__ == '__main__':\n sys.exit(main())\n"},{"alpha_fraction":0.48145928978919983,"alphanum_fraction":0.5014986991882324,"avg_line_length":38.05351257324219,"blob_id":"2b26d28976c8740a4c9db68b14d011d192ebc24d","content_id":"b99a731f5500d4ab29801fef040f7784428c9660","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":11677,"license_type":"no_license","max_line_length":100,"num_lines":299,"path":"/scripts/grasp_loop_simple.py","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n\nimport baxter_external_devices\nfrom baxter_interface import CHECK_VERSION\nimport baxter_interface\nimport copy\nfrom geometry_msgs.msg import (\n PoseStamped,\n Pose,\n Point,\n Quaternion,\n)\nimport geometry_msgs.msg\nimport moveit_commander\nimport moveit_msgs.msg\nimport std_srvs.srv\nimport rospy\nfrom std_msgs.msg import Header\nfrom std_msgs.msg import String\nfrom std_srvs.srv import Empty\nimport sys\n\n\nclass ReceivePoses:\n \n \n def __init__(self):\n self.final_pose = PoseStamped()\n self.stop_pose = PoseStamped()\n\n def callback(self, data):\n self.stop_pose = data;\n # rospy.loginfo(rospy.get_caller_id() + \" \\n %s\", self.stop_pose)\n \n def listen(self):\n rospy.Subscriber(\"/mypose1\", PoseStamped, self.callback)\n rospy.Subscriber(\"/mypose2\", PoseStamped, self.callback2)\n rospy.sleep(0.2)\n \n def callback2(self, data):\n self.final_pose = data;\n # rospy.loginfo(rospy.get_caller_id() + \" \\n %s\", self.final_pose)\n def clear_map(self):\n rospy.wait_for_service(\"/clear_octomap\")\n try:\n h = rospy.ServiceProxy(\"/clear_octomap\",std_srvs.srv.Empty())\n h()\n except rospy.ServiceException, e:\n print \"Service call failed: %s\"%e\n \ndef grapser_loop():\n print \"===== Starting test code =====\"\n\n moveit_commander.roscpp_initialize(sys.argv)\n \n rospy.init_node('grasper_loop',\n anonymous=True)\n robot = moveit_commander.RobotCommander()\n scene = moveit_commander.PlanningSceneInterface()\n group = moveit_commander.MoveGroupCommander(\"right_arm\")\n group.allow_replanning(True)\n group.set_goal_orientation_tolerance(0.01)\n group.set_goal_position_tolerance(0.01)\n grip_right = baxter_interface.Gripper('right', CHECK_VERSION)\n display_trajectory_publisher = rospy.Publisher(\n '/move_group/display_planned_path',\n moveit_msgs.msg.DisplayTrajectory,\n queue_size=10)\n \n Grasp = ReceivePoses()\n pose_table = geometry_msgs.msg.PoseStamped()\n pose_table.header.frame_id = \"base\"\n pose_table.pose.position.x = .5\n pose_table.pose.position.y = -.92\n pose_table.pose.position.z = -.71\n pose_table.pose.orientation.x = 0\n pose_table.pose.orientation.y = 0\n pose_table.pose.orientation.z = 0\n pose_table.pose.orientation.w = 1\n \n pose_kinect = geometry_msgs.msg.PoseStamped()\n pose_kinect.header.frame_id = \"base\"\n pose_kinect.pose.position.x = -.1325\n pose_kinect.pose.position.y = -0.45\n pose_kinect.pose.position.z = -.4\n pose_kinect.pose.orientation.x = 0\n pose_kinect.pose.orientation.y = 0\n pose_kinect.pose.orientation.z = 1\n pose_kinect.pose.orientation.w = 0\n \n pose_generic = geometry_msgs.msg.PoseStamped()\n pose_generic.header.frame_id = \"right_gripper\"\n pose_generic.pose.position.x = 0\n pose_generic.pose.position.y = 0\n pose_generic.pose.position.z = 0\n pose_generic.pose.orientation.x = 0\n pose_generic.pose.orientation.y = 0\n pose_generic.pose.orientation.z = 0\n pose_generic.pose.orientation.w = 1\n scene.remove_world_object(\"box1\")\n scene.remove_world_object(\"table\")\n scene.remove_world_object(\"kinect\")\n\n\n\n rospy.sleep(.5)\n\n scene.add_box(\"table\", pose_table, size=(1.1, 1.1, 1.1))\n scene.add_box(\"kinect\", pose_kinect, size=(.25, .25, 1))\n \n Grasp.clear_map()\n octomap = False\n rospy.sleep(2.5)\n \n # grip_right.calibrate()\n\n while not rospy.is_shutdown():\n\n n = raw_input(\"\\n!!!!! enter to continue or q to quit!!!!!\")\n if n is \"^C\" or n is \"q\":\n break\n if n is \"\":\n \n rospy.sleep(.5)\n # # listen to poses\n Grasp.listen() \n # grip_right.open()\n scene.remove_world_object(\"box1\")\n Grasp.clear_map()\n\n # This is the go to initial pose function\n print \"===== Generating plan - initial pose =====\" \n pose_init1 = geometry_msgs.msg.Pose()\n pose_init1.position.x = 0.7\n pose_init1.position.y = -0.25\n pose_init1.position.z = 0.17\n pose_init1.orientation.x = 1\n pose_init1.orientation.y = 0\n pose_init1.orientation.z = 0\n pose_init1.orientation.w = 0\n \n # Joint angles for initial pose\n initpose = [1.093728,\n - 0.76929136,\n - 0.14764565,\n 0.98174770,\n 0.08091748,\n 1.34338367,\n - 0.02914563]\n \n \n # group.set_pose_target(pose_init1)\n group.set_joint_value_target(initpose)\n \n initMove1 = group.go(wait=True)\n print \"===== Motion Succeed? =====\", initMove1\n \n rospy.sleep(.5)\n group.clear_pose_targets()\n Grasp.clear_map()\n\n \n # This is the go to stop pose function\n # If the arm is in the initial position, go to stop pose\n if initMove1: \n print \"===== Generating plan - stop pose =====\"\n pose_target1 = geometry_msgs.msg.Pose()\n pose_target1.position.x = Grasp.stop_pose.pose.position.x\n pose_target1.position.y = Grasp.stop_pose.pose.position.y\n pose_target1.position.z = Grasp.stop_pose.pose.position.z\n pose_target1.orientation.x = Grasp.stop_pose.pose.orientation.x\n pose_target1.orientation.y = Grasp.stop_pose.pose.orientation.y\n pose_target1.orientation.z = Grasp.stop_pose.pose.orientation.z\n pose_target1.orientation.w = Grasp.stop_pose.pose.orientation.w\n group.set_pose_target(pose_target1)\n \n stopMove1 = group.go(wait=True)\n print \"===== Motion Succeed? =====\", stopMove1\n \n rospy.sleep(.5)\n group.clear_pose_targets()\n Grasp.clear_map()\n\n \n # If the arm did not reach initial pose, stay.\n else:\n print \"***** ERROR: Could not reach initial Pose *****\"\n stopMove1 = False\n finalMove = False\n stopMove2 = False\n initMove2 = False\n \n # This is the move to final pose function\n # If the arm is at the stop pose position, move to final pose\n if stopMove1:\n print \"===== Generating plan - final pose =====\"\n Grasp.clear_map()\n pose_target2 = geometry_msgs.msg.Pose()\n pose_target2.position.x = Grasp.final_pose.pose.position.x\n pose_target2.position.y = Grasp.final_pose.pose.position.y\n pose_target2.position.z = Grasp.final_pose.pose.position.z \n pose_target2.orientation.x = Grasp.final_pose.pose.orientation.x\n pose_target2.orientation.y = Grasp.final_pose.pose.orientation.y\n pose_target2.orientation.z = Grasp.final_pose.pose.orientation.z\n pose_target2.orientation.w = Grasp.final_pose.pose.orientation.w\n waypoint1 = []\n waypoint1.append(pose_target2) \n (plan2, fraction1) = group.compute_cartesian_path(waypoint1,\n .01, 0.0, False)\n print \"===== Moving to object =====\"\n print \"===== Percentage of Path followed: \", (fraction1 / 1.00 * 100), \" % =====\"\n if fraction1 > 0:\n finalMove = group.execute(plan2)\n print \"===== Motion Succeed? =====\", finalMove\n else:\n finalMove = False\n initMove2 = False\n rospy.sleep(.5)\n \n # If the arm does not go to stop pose, stay at initial pose \n else:\n print\"***** ERROR: Could not go to stop pose! *****\"\n finalMove = False\n stopMove2 = False\n initMove2 = False\n # This is the return to stop pose function\n # if the arm is at the final pose, return to stop pose\n if finalMove:\n print \"===== Closing Gripper and Attaching Object =====\"\n # grip_right.close()\n rospy.sleep(2)\n group.clear_pose_targets()\n if octomap:\n scene.attach_box(\"right_gripper\", \"box1\",\n pose=pose_generic,\n size=(.2, .2, .2),\n touch_links=[\"right_gripper\",\n \"r_gripper_r_finger_tip\",\n \"r_gripper_r_finger\",\n \"r_gripper_l_finger\",\n \"r_gripper_l_finger_tip\",\n \"right_gripper_base\",\n \"right_hand_range\",\n \"right_hand_camera\",\n \"right_hand\",\n \"right_wrist\",\n \"right_lower_forearm\",\n \"right_hand_accelerometer\"])\n rospy.sleep(1)\n Grasp.clear_map()\n \n print \"===== Generating plan - back to stop pose =====\"\n waypoint2 = []\n waypoint2.append(pose_target1) \n (plan3, fraction2) = group.compute_cartesian_path(waypoint2\n , .01, 0.0, False)\n print \"===== backing from object ==========\"\n print \"===== Percentage of Path followed: \", (fraction2 / 1.00 * 100), \" % ======\" \n if fraction2 > 0:\n stopMove2 = group.execute(plan3)\n print \"===== Motion Succeed? ======\", stopMove2\n else: stopMove2 = False\n \n rospy.sleep(1.5)\n group.clear_pose_targets()\n Grasp.clear_map()\n\n \n # if the arm returned to stop pose, return to initial\n if stopMove2:\n print \"===== Generating plan - back to initial pose =====\"\n # group.set_pose_target(pose_init1)\n group.set_joint_value_target(initpose)\n \n initMove2 = group.go(wait=True)\n print \"===== Motion Succeed? ======\", initMove2\n \n rospy.sleep(.5)\n # grip_right.open()\n group.clear_pose_targets()\n rospy.sleep(1)\n \n # If the arm returned to initial successfully\n if initMove2:\n print\"===== Pickup Succeeded =====\"\n scene.remove_attached_object(\"right_gripper\")\n scene.remove_world_object(\"box1\")\n Grasp.clear_map()\n\n rospy.sleep(2.0)\n print \"===== STOPPING =====\"\n \n moveit_commander.roscpp_shutdown()\n\nif __name__ == '__main__':\n try:\n grapser_loop()\n except rospy.ROSInterruptException:\n pass\n"},{"alpha_fraction":0.46457192301750183,"alphanum_fraction":0.4928300380706787,"avg_line_length":29.012659072875977,"blob_id":"fd5a52acb3177e185af0b636f808898ba5231556","content_id":"cf39db5a40cef21856c0e46cd820ccfac17c9e45","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4742,"license_type":"no_license","max_line_length":99,"num_lines":158,"path":"/scripts/PythonICP.py","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n\nimport rospy\nimport numpy as np\nimport scipy.stats\nfrom pylab import *\nimport random\n\nclass ICPClass:\n\n \n def T(self,x, T0, T1, k=1.0):\n # apply an affine transformation to `x`\n y = x * T0.T\n y[:, 0] += T1[0, 0]\n y[:, 1] += T1[1, 0]\n return y * k\n \n\n \n def shuffle(self,X):\n N = X.shape[0]\n idx = range(N)\n np.random.shuffle(idx)\n return X[idx]\n \n \n def translate(self,X, Y, errorfct):\n # translate to align the centers of mass\n mx = np.mean(X, axis=0).T\n my = np.mean(Y, axis=0).T\n translation = mx - my\n I = np.matrix(np.eye(2))\n Yp = self.T(Y, I, translation)\n return errorfct(X, Yp), translation\n \n def randrot(self,X, Y, errorfct):\n # perform a random rotation\n theta = scipy.stats.uniform(0.0, 2.0 * np.pi).rvs()\n c = np.cos(theta)\n s = np.sin(theta)\n rotation = np.matrix([[c, -s], [s, c]])\n Z = np.matrix(np.zeros((2, 1)))\n Yp = T(Y, rotation, Z)\n return errorfct(X, Yp), rotation\n \n def randscale(self,X, Y, errorfct):\n # perform a random scaling\n k = scipy.stats.uniform(0.5, 1.0).rvs()\n scaling = k * np.matrix(np.eye(2))\n Z = np.matrix(np.zeros((2, 1)))\n Yp = T(Y, scaling, Z)\n return errorfct(X, Yp), scaling\n \n def SSE(self,X, Y): \n return np.sum(np.array(X - Y) ** 2.0)\n \n def ptSSE(self,pt, X):\n '''\n Point-wise smallest squared error.\n This is the distance from the point `pt`\n to the closest point in `X`\n '''\n difference = pt - X\n # x and y columns\n xcol = np.ravel(difference[:, 0])\n ycol = np.ravel(difference[:, 1])\n # sum of the squared differences btwn `pt` and `X`\n sqr_difference = xcol ** 2.0 + ycol ** 2.0\n # nearest squared distance\n distance = np.min(sqr_difference)\n # index of the nearest point to `pt` in `X`\n nearest_pt = np.argmin(sqr_difference)\n return distance\n \n def NSSE(self,X, Y):\n '''\n Nearest sum squared error.\n This is the sum of the squares of the\n nearest differences between the points\n of `X` and the points of `Y`\n '''\n err = 0.0\n for x in X:\n err += self.ptSSE(x, Y)\n \n def fit(self,X, Y, M, N, errorfct, threshold=1e-5):\n T0 = list()\n T1 = list()\n errors = list()\n errors.append(errorfct(X, Y))\n print errors[-1]\n Yp = Y.copy()\n for iter in range(M):\n \n err, translation = self.translate(X, Yp, errorfct)\n if err < threshold:\n break\n elif err < errors[-1]:\n errors.append(err)\n print errors[-1]\n T1.append(translation)\n I = np.matrix(np.eye(2))\n Yp = T(Yp, I, T1[-1])\n \n rot = [ randrot(X, Yp, errorfct) for i in range(N) ] \n rot.sort()\n err, rotation = rot[0]\n if err < threshold:\n break\n elif err < errors[-1]:\n errors.append(err)\n print errors[-1]\n T0.append(rotation)\n Z = np.matrix(np.zeros((2, 1)))\n Yp = T(Yp, T0[-1], Z)\n \n scale = [ randscale(X, Yp, errorfct) for i in range(N) ]\n scale.sort()\n err, scaling = scale[0]\n if err < threshold:\n break\n elif err < errors[-1]:\n errors.append(err)\n print errors[-1]\n T0.append(scaling)\n Z = np.matrix(np.zeros((2, 1)))\n Yp = T(Yp, T0[-1], Z)\n \n return Yp\n \nicpclass = ICPClass()\n\n# X = np.matrix(scipy.stats.norm(0, 100).rvs((500, 2)))\n# \n# # rotate by some angle theta\n# theta = scipy.stats.uniform(0.0, 2.0 * np.pi).rvs()\n# c, s = np.cos(theta), np.sin(theta)\n# # rotation matrix\n# T0 = np.matrix([[c, -s], [s, c]])\n# # translation vector\n# T1 = np.matrix(scipy.stats.norm((3, 3), 1).rvs((2, 1)))\n# # scaling factor\n# k = scipy.stats.uniform(1, 5).rvs()\n# \n# Y = icpclass.T(X, T0, T1, k)\n# \n# sY = icpclass.shuffle(Y)\n\nX = [[0,1,2],[3,4,5],[6,7,8]]\n\nsY = [[6,7,8],[0,1,2],[3,4,5]]\n\nYp = icpclass.fit(X, sY, M=30, N=100, errorfct= icpclass.NSSE, threshold=1e-3)\nscatter(np.ravel(X[:, 1]), np.ravel(X[:, 0]), marker='x', facecolor='b', s=100)\nscatter(np.ravel(Yp[:, 1]), np.ravel(Yp[:, 0]), marker='o', edgecolor='r', facecolor='none', s=100)\ngrid() ; title('ICP with 100 Points')\nsavefig('icp_100pts.png', fmt='png', dpi=200)\n"},{"alpha_fraction":0.43947675824165344,"alphanum_fraction":0.44552910327911377,"avg_line_length":32.045162200927734,"blob_id":"f1f2d5e2e2b83d5133cab1f4cbec45ad035a2036","content_id":"411929b7fa796ca3b08960c3420f9e3a746b0ff4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5122,"license_type":"no_license","max_line_length":80,"num_lines":155,"path":"/scripts/camera_calibrator.py","repo_name":"Algias/UCF_Baxter_Grasp","src_encoding":"UTF-8","text":"#!/usr/bin/env python\nimport argparse\nimport copy\nfrom geometry_msgs.msg import (\n PointStamped,\n Point,\n Quaternion,\n)\nimport geometry_msgs.msg\nimport io\nimport numpy\nimport re\nimport rospy\nfrom rospy.numpy_msg import numpy_msg\nfrom std_msgs.msg import Header\nfrom std_msgs.msg import String\nimport sys\nimport tf\n\n\n#===============================================================================\n# DESCRIPTION\n# This file is intended to take clicked points and a calibrated frame and write\n# their transforms to a file for use in matlab\n#===============================================================================\nclass CameraCalibrator:\n \n def __init__(self):\n\n # Initialize global variables\n self.clickedPoint = PointStamped()\n\n \n def callback(self, data):\n self.clickedPoint = data;\n \n def listen(self):\n # Subscribe to /clicked_point topic from RVIZ\n rospy.Subscriber(\"/clicked_point\", PointStamped, self.callback)\n rospy.sleep(0.2)\n \n def print_points(self):\n # Print out point values\n print \"point 1: \", self.point1\n \n def update_point(self, ClickedPoint):\n #Returns a point list from a ROS point to use for calculations\n nPoint = [0, 0, 0]\n nPoint[0] = ClickedPoint.x\n nPoint[1] = ClickedPoint.y\n nPoint[2] = ClickedPoint.z\n # return [ClickedPoint.x,ClickedPoint.y,ClickedPoint.z]\n return nPoint\n \n def calibrate(self):\n print \"*****Starting Camera Calibrator Node\"\n rospy.init_node('calibrate_camera',\n anonymous=True)\n \n clicked_array = []\n calib_frame_listener = tf.TransformListener()\n calib_frame_position = []\n calib_array = []\n calib_list = []\n clicked_list = []\n \n # creates a file to write out to\n with io.FileIO(\"camera_transforms\", \"w\") as outFile: \n # w opens a file for writing\n rospy.sleep(.5)\n \n self.listen()\n \n for x in range(0, 20):\n print \"\\n!!!!! Enter for point \",x+1,\"!!!!!\"\n n = raw_input()\n \n rospy.sleep(.1)\n \n self.listen()\n \n if n == \"\":\n pass\n else:\n break\n \n # Move the arm?\n #Perhaps not for safety, use joint keyboard?\n \n # Click the point / auto transform from clicked pt. to kinect2\n clicked_array = self.update_point(self.clickedPoint.point)\n \n # transform from calib_frame to base\n try:\n (calib_array, rot) = calib_frame_listener.lookupTransform(\n '/base',\n '/calib_frame',\n rospy.Time(0))\n except (tf.LookupException,\n tf.ConnectivityException,\n tf.ExtrapolationException):\n print \"transform error\"\n break\n \n # write to a list / convert tuple to list\n calib_array = list(calib_array)\n \n print \"calib array: \",calib_array\n print \"clicked array: \", clicked_array\n \n #Add the current values to the 2D array\n calib_list.append(calib_array)\n clicked_list.append(clicked_array)\n \n print \"\\n calib list: \", calib_list\n print \"\\n clicked list: \", clicked_list\n \n #Foreach member in the list, write to individual numbers to the file\n count = 0\n for member in calib_list:\n if count == 0:\n outFile.write(\"calib list: \\n[\")\n outFile.write(str(calib_list[count][0]) +\n \" \"+ str(calib_list[count][1]) +\n \" \"+ str(calib_list[count][2])+\n \"; \") \n \n count += 1 \n outFile.write(\"] \\n\")\n \n #Same process as earlier, but with the clicked list\n count = 0\n for member in clicked_list:\n if count == 0:\n outFile.write(\"clicked list: \\n[\")\n outFile.write(str(clicked_list[count][0]) +\n \" \"+ str(clicked_list[count][1]) +\n \" \"+ str(clicked_list[count][2])+\n \"; \") \n \n count += 1 \n outFile.write(\"]\")\n \n outFile.close() # close file\n \n \n \n\n \ndef main():\n run = CameraCalibrator()\n run.calibrate()\n\nif __name__ == '__main__':\n sys.exit(main())\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6179700493812561,\n \"alphanum_fraction\": 0.6259567141532898,\n \"avg_line_length\": 39.06666564941406,\n \"blob_id\": \"b8566284be0678955f682d4906d7dff864dcabab\",\n \"content_id\": \"f39b3d92b2857e63716182a46bbae83594f0b9ce\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3005,\n \"license_type\": \"no_license\",\n \"max_line_length\": 110,\n \"num_lines\": 75,\n \"path\": \"/scripts/camera_streamer.py\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\nimport baxter_interface\\nimport rospy\\nfrom sensor_msgs.msg import Image\\nimport sys\\nimport struct\\nimport argparse\\n\\n\\nrospy.init_node(\\\"my_cam\\\")\\ndisplay_pub= rospy.Publisher('/robot/xdisplay',Image)\\ndef republish(msg):\\n \\\"\\\"\\\"\\n Sends the camera image to baxter's display\\n \\\"\\\"\\\" \\n display_pub.publish(msg)\\ndef streamer(camera):\\n if camera == \\\"head\\\":\\n# left_camera = baxter_interface.CameraController(\\\"left_hand_camera\\\")\\n# left_camera.close()\\n# right_camera = baxter_interface.CameraController(\\\"right_hand_camera\\\")\\n# right_camera.close()\\n head_camera = baxter_interface.CameraController(\\\"head_camera\\\")\\n head_camera.open()\\n camera_name = \\\"head_camera\\\"\\n head_camera.resolution =(960, 600)\\n sub = rospy.Subscriber('/cameras/' + camera_name + \\\"/image\\\", Image,republish,None,1)\\n \\n if camera == \\\"right_hand_camera\\\":\\n# left_camera = baxter_interface.CameraController(\\\"left_hand_camera\\\")\\n# left_camera.close()\\n right_camera = baxter_interface.CameraController(\\\"right_hand_camera\\\")\\n right_camera.open()\\n# head_camera = baxter_interface.CameraController(\\\"head_camera\\\")\\n# head_camera.close()\\n camera_name = \\\"right_hand_camera\\\"\\n right_camera.resolution =(960, 600)\\n\\n sub = rospy.Subscriber('/cameras/' + camera_name + \\\"/image\\\", Image,republish,None,1)\\n \\n if camera == \\\"left_hand_camera\\\":\\n left_camera = baxter_interface.CameraController(\\\"left_hand_camera\\\")\\n left_camera.open()\\n# right_camera = baxter_interface.CameraController(\\\"right_hand_camera\\\")\\n# right_camera.close()\\n# head_camera = baxter_interface.CameraController(\\\"head_camera\\\")\\n# head_camera.close()\\n camera_name = \\\"left_hand_camera\\\"\\n left_camera.resolution =(960, 600)\\n sub = rospy.Subscriber('/cameras/' + camera_name + \\\"/image\\\", Image,republish,None,1)\\n \\n if camera == \\\"kinect\\\":\\n# left_camera = baxter_interface.CameraController(\\\"left_hand_camera\\\")\\n# left_camera.close()\\n# right_camera = baxter_interface.CameraController(\\\"right_hand_camera\\\")\\n# right_camera.close()\\n# head_camera = baxter_interface.CameraController(\\\"head_camera\\\")\\n# head_camera.close()\\n sub = rospy.Subscriber('/kinect2/sd/image_color_rect', Image,republish,None,1)\\n \\n rospy.spin()\\ndef main():\\n arg_fmt = argparse.RawDescriptionHelpFormatter\\n parser = argparse.ArgumentParser(formatter_class=arg_fmt,\\n description=main.__doc__)\\n parser.add_argument(\\n '-c', '--camera', choices=['head', 'left_hand_camera', 'right_hand_camera', 'kinect'], required=False,\\n type = str,\\n default=\\\"right_hand_camera\\\",\\n help=\\\"the camera to display on baxter\\\"\\n )\\n args = parser.parse_args(rospy.myargv()[1:])\\n streamer(args.camera)\\nif __name__ == '__main__':\\n sys.exit(main())\\n\"\n },\n {\n \"alpha_fraction\": 0.7778453826904297,\n \"alphanum_fraction\": 0.7821059226989746,\n \"avg_line_length\": 30.596153259277344,\n \"blob_id\": \"25040e5f3f780334c6ca039475f45332063b1a37\",\n \"content_id\": \"c4998a682897fc52284dff6401198c897a60c12d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 1643,\n \"license_type\": \"no_license\",\n \"max_line_length\": 194,\n \"num_lines\": 52,\n \"path\": \"/README.md\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# UCF_Baxter_Grasp\\n\\nThis repo deals with automating grasping objects with the Baxter Research robot.\\n\\n## Requirements:\\n\\n[Full baxter install](http://sdk.rethinkrobotics.com/wiki/Workstation_Setup)\\n\\n[Baxter MoveIt install](http://sdk.rethinkrobotics.com/wiki/MoveIt_Tutorial)\\n\\n[IAI Kinect2 bridge install](https://github.com/code-iai/iai_kinect2)\\n\\n##Grasp loop code\\n\\nEnsure connectivity with Baxter\\nEnable baxter and launch moveit, and the kinect with:\\n > roslaunch baxter_grasp baxter_grasp.launch\\n \\nRun the grasp loop code:\\n>\\n rosrun baxter_grasp grasp_loop_auto_nostop.py\\n \\nThis code takes in poses from the /mypose1 and /mypose2 topics. The arm will then attempt to plan a path and execute motions in order to autonomously grasp objects and place them in a container.\\n\\n##Camera calibrator\\n\\nThis file is intended to take clicked points and a calibrated frame and write their transforms to a file for use in matlab.\\n\\nThis allows for quick calibration of the kinect frame with respect to Baxter's base.\\n\\nTo run:\\n \\n >roslaunch baxter_Grasp baxter_camera.launch\\n \\n >rosrun baxter_grasp camera_calibrator.py\\n\\n##Camera streamer\\n\\nThis file places a camera stream on Baxter's head display.\\n \\n> roslaunch baxter_Grasp baxter_camera.launch\\n> rosrun baxter_grasp camera_streamer.py\\n\\n##click_to_point code: \\n\\nAllows the user to click three points on a pointcloud, and create a pose that that fits the position. Points 1 and 2 are for the gripper closing direction, and point 3 creates the orientation\\n >roslaunch baxter_grasp baxter_grasp.launch\\n >rosrun baxter_grasp click_to_point.py\\n\\n##camera.rviz\\n\\nSaved RVIZ layout for camera calibrations.\\n\"\n },\n {\n \"alpha_fraction\": 0.46003326773643494,\n \"alphanum_fraction\": 0.4706156551837921,\n \"avg_line_length\": 38.12760543823242,\n \"blob_id\": \"069e4a6110dfae97759b30b20ba87e52c7a002ff\",\n \"content_id\": \"36f2b1de7b39af6e3ac6ddc325238880bc8868f2\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 15025,\n \"license_type\": \"no_license\",\n \"max_line_length\": 102,\n \"num_lines\": 384,\n \"path\": \"/scripts/grasp_loop_auto_nostop.py\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n\\nimport baxter_external_devices\\nfrom baxter_interface import CHECK_VERSION\\nimport baxter_interface\\nimport copy\\nfrom geometry_msgs.msg import (\\n PoseStamped,\\n Pose,\\n Point,\\n Quaternion,\\n)\\nimport geometry_msgs.msg\\nimport moveit_commander\\nimport moveit_msgs.msg\\nimport std_srvs.srv\\nimport rospy\\nfrom std_msgs.msg import Header\\nfrom std_msgs.msg import String\\nfrom std_srvs.srv import Empty\\nimport sys\\n\\n\\nclass ReceivePoses:\\n \\n \\n def __init__(self):\\n self.final_pose = PoseStamped()\\n self.stop_pose = PoseStamped()\\n\\n def callback(self, data):\\n self.stop_pose = data;\\n # rospy.loginfo(rospy.get_caller_id() + \\\" \\\\n %s\\\", self.stop_pose)\\n \\n def listen(self):\\n rospy.Subscriber(\\\"/mypose1\\\", PoseStamped, self.callback)\\n rospy.Subscriber(\\\"/mypose2\\\", PoseStamped, self.callback2)\\n rospy.sleep(0.2)\\n \\n def callback2(self, data):\\n self.final_pose = data;\\n # rospy.loginfo(rospy.get_caller_id() + \\\" \\\\n %s\\\", self.final_pose)\\n \\n\\n \\nclass GraspLoop():\\n \\n def __init__(self):\\n moveit_commander.roscpp_initialize(sys.argv)\\n \\n rospy.init_node('grasper_loop',\\n anonymous=True)\\n \\n self.robot = moveit_commander.RobotCommander()\\n self.scene = moveit_commander.PlanningSceneInterface()\\n self.group = moveit_commander.MoveGroupCommander(\\\"right_arm\\\")\\n \\n self.group.allow_replanning(True)\\n \\n self.group.set_goal_orientation_tolerance(0.01)\\n self.group.set_goal_position_tolerance(0.01)\\n \\n self.grip_right = baxter_interface.Gripper('right', CHECK_VERSION)\\n \\n self.display_trajectory_publisher = rospy.Publisher(\\n '/move_group/display_planned_path',\\n moveit_msgs.msg.DisplayTrajectory,\\n queue_size=10)\\n \\n #Creates instance of class for subscribing to and listening to poses\\n self.Grasp = ReceivePoses()\\n \\n self.group.set_num_planning_attempts(3)\\n \\n #Defines initial starting pose to return to (joint angles)\\n self.initpose = [1.093728,\\n - 0.76929136,\\n - 0.14764565,\\n 0.98174770,\\n 0.08091748,\\n 1.34338367,\\n 3.0]\\n # 1.7 works as well for last number\\n \\n #Clears the scene in case of leftover objects\\n self.scene.remove_world_object(\\\"box1\\\")\\n self.scene.remove_world_object(\\\"table\\\")\\n self.scene.remove_world_object(\\\"kinect\\\")\\n \\n #Runs the main loop function\\n self.grasper_loop()\\n \\n def update_pose(self, pose_input):\\n \\n n_pose = geometry_msgs.msg.Pose()\\n \\n if isinstance(pose_input, list):\\n n_pose.position.x = pose_input[0]\\n n_pose.position.y = pose_input[1]\\n n_pose.position.z = pose_input[2]\\n n_pose.orientation.x = pose_input[3]\\n n_pose.orientation.y = pose_input[4]\\n n_pose.orientation.z = pose_input[5]\\n n_pose.orientation.w = pose_input[6]\\n return n_pose\\n \\n if isinstance(pose_input, geometry_msgs.msg.Pose):\\n n_pose.position.x = pose_input.position.x\\n n_pose.position.y = pose_input.position.y\\n n_pose.position.z = pose_input.position.z\\n n_pose.orientation.x = pose_input.orientation.x\\n n_pose.orientation.y = pose_input.orientation.y\\n n_pose.orientation.z = pose_input.orientation.z\\n n_pose.orientation.w = pose_input.orientation.w\\n return n_pose\\n \\n if isinstance(pose_input, geometry_msgs.msg.PoseStamped):\\n n_pose.position.x = pose_input.pose.position.x\\n n_pose.position.y = pose_input.pose.position.y\\n n_pose.position.z = pose_input.pose.position.z\\n n_pose.orientation.x = pose_input.pose.orientation.x\\n n_pose.orientation.y = pose_input.pose.orientation.y\\n n_pose.orientation.z = pose_input.pose.orientation.z\\n n_pose.orientation.w = pose_input.pose.orientation.w\\n return n_pose\\n \\n else: \\n return Empty() \\n print \\\"error\\\"\\n \\n def go_cartesian(self, pose):\\n n_waypoint = []\\n n_waypoint.append(pose) \\n (n_plan, n_fraction) = self.group.compute_cartesian_path(n_waypoint,\\n .01, 0.0, False)\\n print \\\"===== Moving in Cartesian Path =====\\\"\\n print \\\"===== Percentage of Path followed: \\\", (n_fraction / 1.00 * 100), \\\" % =====\\\"\\n if n_fraction > 0:\\n return self.group.execute(n_plan)\\n return False\\n \\n def clear_map(self):\\n rospy.wait_for_service(\\\"/clear_octomap\\\")\\n try:\\n h = rospy.ServiceProxy(\\\"/clear_octomap\\\", std_srvs.srv.Empty())\\n h()\\n except rospy.ServiceException, e:\\n print \\\"Service call failed: %s\\\" % e\\n \\n def print_results(self,result,motion):\\n if result:\\n print \\\"===== Successfully went to \\\", motion,\\\" =====\\\"\\n if not result:\\n print \\\"====== Attempt to go to \\\", motion, \\\"failed =====\\\"\\n \\n def grasper_loop(self):\\n \\n print \\\"===== Starting test code =====\\\"\\n ready_for_pose = bool\\n #set to true for grippers to be used\\n use_gripper = True\\n #Set to true for clearing octomap\\n octomap = True\\n # set to true for attached object\\n object = True\\n\\n pose_table = geometry_msgs.msg.PoseStamped()\\n pose_table.header.frame_id = \\\"base\\\"\\n pose_table.pose = self.update_pose([.5, -.92, -.71, 0, 0, 0, 1])\\n \\n pose_kinect = geometry_msgs.msg.PoseStamped()\\n pose_kinect.header.frame_id = \\\"base\\\"\\n pose_kinect.pose = self.update_pose([-.1325, -.45, -.4, 0, 0, 1, 0])\\n \\n pose_generic = geometry_msgs.msg.PoseStamped()\\n pose_generic.header.frame_id = \\\"right_gripper\\\"\\n pose_generic.pose = self.update_pose([0, 0, 0, 0, 0, 0, 1])\\n \\n rospy.sleep(.5)\\n \\n self.scene.add_box(\\\"table\\\", pose_table, size=(1.1, 1.1, 1.1))\\n self.scene.add_box(\\\"kinect\\\", pose_kinect, size=(.25, .25, 1.25))\\n \\n if octomap:\\n self.clear_map()\\n \\n # Wait for scene to be updated with table\\n print\\\"=====Waiting for scene to be updated =====\\\"\\n rospy.sleep(3.0)\\n \\n # Wait until first point is selected, or quit out if you need to\\n n = raw_input(\\\"\\\\n!!!!! Enter to continue or q to quit(Ensure first point is selected)!!!!!\\\\n\\\")\\n \\n if n == \\\"^C\\\" or n == \\\"q\\\":\\n moveit_commander.roscpp_shutdown()\\n if n == \\\"\\\":\\n pass\\n else:\\n moveit_commander.roscpp_shutdown()\\n \\n if use_gripper:\\n self.grip_right.calibrate()\\n \\n if octomap:\\n self.clear_map() \\n \\n self.group.set_joint_value_target(self.initpose)\\n \\n print \\\"===== Going to intial pose =====\\\"\\n first_go_initial = self.group.go(wait=True)\\n \\n if octomap:\\n self.clear_map() \\n \\n # For automatic picking\\n pose_previous = geometry_msgs.msg.Pose()\\n \\n first_motion = True\\n \\n while not rospy.is_shutdown():\\n \\n first_stop_move = bool\\n go_final = bool\\n second_stop_move = bool\\n \\n self.Grasp.listen()\\n \\n if self.Grasp.final_pose.pose != pose_previous:\\n \\n pose_previous = self.Grasp.final_pose.pose\\n rospy.sleep(.5)\\n \\n if use_gripper:\\n self.grip_right.open()\\n \\n self.scene.remove_world_object(\\\"box1\\\") \\n \\n #If this is not the first motion, and returning initial failed,\\n #Try to go to initial again\\n if first_motion == False and return_initial == False:\\n print\\\"===== Returning to initial position after previous failure =====\\\"\\n if octomap:\\n self.clear_map() \\n self.group.set_joint_value_target(self.initpose)\\n first_go_initial = self.group.go(wait=True)\\n self.print_results(first_go_initial, \\\"return initial\\\")\\n \\n return_initial = bool\\n\\n # This is the go to stop pose function\\n # If the arm is in the initial position, go to stop pose\\n if first_go_initial is True:\\n \\n if octomap:\\n self.clear_map()\\n \\n first_motion = False\\n \\n print \\\"===== Generating plan - stop pose =====\\\"\\n pose_target1 = geometry_msgs.msg.Pose()\\n pose_target1 = self.update_pose(self.Grasp.stop_pose.pose)\\n self.group.set_pose_target(pose_target1)\\n first_stop_move = self.group.go(wait=True)\\n self.print_results(first_stop_move,\\\"stop pose\\\")\\n \\n rospy.sleep(.5)\\n \\n self.group.clear_pose_targets()\\n \\n # This is the move to final pose function\\n # If the arm is at the stop pose position, move to final pose\\n if first_stop_move is True:\\n \\n print \\\"===== Generating plan - final pose =====\\\"\\n \\n if octomap:\\n self.clear_map()\\n \\n pose_target2 = geometry_msgs.msg.Pose()\\n pose_target2 = self.update_pose(self.Grasp.final_pose.pose)\\n go_final = self.go_cartesian(pose_target2)\\n self.print_results(go_final, \\\"final pose\\\")\\n \\n rospy.sleep(.5)\\n \\n # This is the return to stop pose function\\n if go_final is True:\\n \\n print \\\"===== Closing Gripper =====\\\"\\n if use_gripper:\\n self.grip_right.close()\\n \\n if octomap:\\n self.clear_map() \\n \\n rospy.sleep(2)\\n self.group.clear_pose_targets()\\n \\n if object:\\n print\\\"===== Attaching collision object =====\\\"\\n self.scene.attach_box(\\\"right_gripper\\\", \\\"box1\\\",\\n pose=pose_generic,\\n size=(.2, .2, .2),\\n touch_links=[\\\"right_gripper\\\",\\n \\\"r_gripper_r_finger_tip\\\",\\n \\\"r_gripper_r_finger\\\",\\n \\\"r_gripper_l_finger\\\",\\n \\\"r_gripper_l_finger_tip\\\",\\n \\\"right_gripper_base\\\",\\n \\\"right_hand_range\\\",\\n \\\"right_hand_camera\\\",\\n \\\"right_hand\\\",\\n \\\"right_wrist\\\",\\n \\\"right_lower_forearm\\\",\\n \\\"right_hand_accelerometer\\\"])\\n rospy.sleep(1)\\n \\n print \\\"===== Generating plan - back to stop pose =====\\\"\\n second_stop_move = self.go_cartesian(pose_target1)\\n self.print_results(second_stop_move,\\\"return stop pose\\\")\\n \\n rospy.sleep(1.5)\\n \\n self.group.clear_pose_targets()\\n \\n \\n # if the arm returned to stop pose, return to initial\\n if second_stop_move is True:\\n if octomap:\\n self.clear_map() \\n print \\\"===== Generating plan - back to initial pose =====\\\"\\n self.group.set_joint_value_target(self.initpose)\\n \\n return_initial = self.group.go(wait=True)\\n self.print_results(return_initial, \\\"return initial\\\")\\n \\n rospy.sleep(.5)\\n \\n if use_gripper:\\n self.grip_right.open()\\n \\n self.group.clear_pose_targets()\\n rospy.sleep(1)\\n \\n # If the arm returned to initial successfully\\n if return_initial is True:\\n print\\\"===== Pickup Succeeded =====\\\"\\n else:\\n print\\\"===== Pickup failed =====\\\"\\n \\n self.scene.remove_attached_object(\\\"right_gripper\\\")\\n self.scene.remove_world_object(\\\"box1\\\")\\n \\n rospy.sleep(2.0)\\n ready_for_pose = False\\n #Ensures that waiting for new pose is printed only once\\n #Also only prints if it had not received a new pose\\n if go_final == False or second_stop_move == False:\\n return_initial = False\\n \\n if first_motion == False and (first_stop_move == False or second_stop_move == False):\\n print\\\"===== Returning to initial position after previous failure =====\\\"\\n if octomap:\\n self.clear_map() \\n self.group.set_joint_value_target(self.initpose)\\n return_initial = self.group.go(wait=True)\\n self.print_results(first_go_initial, \\\"return initial\\\")\\n \\n \\n if self.Grasp.final_pose.pose == pose_previous and not ready_for_pose:\\n print \\\"===== Waiting for new pose... =====\\\\n\\\"\\n ready_for_pose = True\\n \\n # Rate at which the loop executes, when waiting for new poses\\n rate = rospy.Rate(1) # 1hz\\n rate.sleep()\\n \\n moveit_commander.roscpp_shutdown()\\n\\nif __name__ == '__main__':\\n try:\\n run = GraspLoop()\\n except rospy.ROSInterruptException:\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.4656802713871002,\n \"alphanum_fraction\": 0.49474698305130005,\n \"avg_line_length\": 36.946842193603516,\n \"blob_id\": \"ae763fe40ae06d672aef48249cb19cbeb7bfd3db\",\n \"content_id\": \"bc19285ff92d3eb06835e314403424f5e4221a80\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11422,\n \"license_type\": \"no_license\",\n \"max_line_length\": 97,\n \"num_lines\": 301,\n \"path\": \"/scripts/click_to_point_array.py\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\nimport copy\\nfrom geometry_msgs.msg import (\\n PoseStamped,\\n PointStamped,\\n Pose,\\n Point,\\n Quaternion,\\n PoseArray,\\n)\\nimport geometry_msgs.msg\\nimport numpy\\nimport rospy\\nfrom rospy.numpy_msg import numpy_msg\\nfrom std_msgs.msg import Header\\nfrom std_msgs.msg import String\\nfrom std_msgs.msg import Empty\\nimport sys\\n\\n#===============================================================================\\n# DESCRIPTION\\n# This script takes 3 points from the RVIZ /clicked_point publisher and finds a\\n# pose calculation to fit those three points. It then publishes two poses, a\\n# stop pose and a final pose for the gripper.\\n# USAGE\\n# The first two points create the axis of rotation for the closing of grippers,\\n# and the third point finds the final orientation. The centroid of the three\\n# points is used as the position\\n# ROS INFORMATION\\n# Subscribes to rviz's /clicked_point publisher.\\n# Publishes to mypose1 and mypose2\\n#===============================================================================\\nclass PointClick:\\n \\n def __init__(self):\\n # Initialize global variables\\n self.clickedPoint = PointStamped()\\n self.point1 = []\\n self.point2 = []\\n self.point3 = []\\n \\n def callback(self, data):\\n self.clickedPoint = data;\\n # Uncomment to print out subscriber \\n # rospy.loginfo(rospy.get_caller_id() + \\\" \\\\n %s\\\", self.clickedPoint)\\n \\n def listen(self):\\n # Subscribe to /clicked_point topic from RVIZ\\n rospy.Subscriber(\\\"/clicked_point\\\", PointStamped, self.callback)\\n rospy.sleep(0.2)\\n \\n def print_points(self):\\n # Print out point values\\n print \\\"point 1: \\\", self.point1\\n print \\\"point 2: \\\", self.point2\\n print \\\"point 3: \\\", self.point3\\n \\n def update_array(self,obj1,pose_s,pose_n):\\n _n_pose = geometry_msgs.msg.Pose()\\n _n_pose.position.x = pose_n.position.x\\n _n_pose.position.y = pose_n.position.y\\n _n_pose.position.z = pose_n.position.z\\n _n_pose.orientation.x = pose_n.orientation.x\\n _n_pose.orientation.y = pose_n.orientation.y\\n _n_pose.orientation.z = pose_n.orientation.z\\n _n_pose.orientation.w = pose_n.orientation.w\\n \\n _s_pose = geometry_msgs.msg.Pose()\\n _s_pose.position.x = pose_s.position.x\\n _s_pose.position.y = pose_s.position.y\\n _s_pose.position.z = pose_s.position.z\\n _s_pose.orientation.x = pose_s.orientation.x\\n _s_pose.orientation.y = pose_s.orientation.y\\n _s_pose.orientation.z = pose_s.orientation.z\\n _s_pose.orientation.w = pose_s.orientation.w\\n\\n\\n\\n obj1.posearray_s.poses.append(_s_pose)\\n obj1.posearray_n.poses.append(_n_pose)\\n \\n def point_clicker(self):\\n print \\\"*****Starting point_clicker Node\\\"\\n rospy.init_node('point_clicker',\\n anonymous=True)\\n \\n # Subscribe to /clicked_point\\n self.listen()\\n \\n num_object = int(raw_input(\\\"Enter Number of objects: \\\"))\\n \\n # Create publishers\\n pubpose1 = rospy.Publisher('myposearray1', PoseArray, queue_size=5)\\n pubpose2 = rospy.Publisher('myposearray2', PoseArray, queue_size=5)\\n \\n # Initialize variables\\n previousPoint = geometry_msgs.msg.Point()\\n n = 0\\n w = 0\\n obj1 = PoseCalc()\\n \\n print \\\"Enter point number: 1 \\\\n\\\"\\n pose_previous = geometry_msgs.msg.PoseStamped()\\n for x in xrange(0,num_object):\\n\\n while not rospy.is_shutdown():\\n \\n # if we have a full set of points, and \\n # the clicked point is new, reset points\\n # and use the new point as the first point\\n #print w,\\\" \\\",num_object\\n if n == 4 and self.clickedPoint.point != previousPoint:\\n n = 2\\n self.point1 = obj1.update_point(self.clickedPoint.point)\\n self.point2 = []\\n self.point3 = []\\n \\n previousPoint = self.clickedPoint.point\\n \\n self.print_points()\\n print \\\"\\\\n Enter point number\\\", n\\n \\n # if the point counter is less than 4, and the \\n # clicked point is new, update the point\\n \\n if n < 4 and self.clickedPoint.point != previousPoint:\\n \\n if n == 1:\\n self.point1 = obj1.update_point(self.clickedPoint.point)\\n \\n if n == 2:\\n self.point2 = obj1.update_point(self.clickedPoint.point)\\n \\n if n == 3:\\n self.point3 = obj1.update_point(self.clickedPoint.point)\\n \\n if n is not 0:\\n self.print_points()\\n \\n if n != 0 and n < 3: print \\\"\\\\n Enter point number: \\\", n + 1\\n \\n if n == 3: print \\\"\\\\n Enter point 1 for new pose\\\" \\n n += 1\\n \\n previousPoint = self.clickedPoint.point\\n \\n # if we have all points in the set, \\n # calculate two poses based on that set\\n \\n if self.point1 and self.point2 and self.point3:\\n obj1.calculate_pose(self.point1, self.point2, self.point3)\\n self.update_array(obj1, obj1.pose_s.pose,obj1.pose_n.pose)\\n self.point1 = []\\n self.point2 = []\\n self.point3 = []\\n break\\n w += 1\\n \\n rate = rospy.Rate(1) # 1hz\\n rate.sleep()\\n \\n pubpose1.publish(obj1.posearray_n)\\n pubpose2.publish(obj1.posearray_s) \\n #rospy.spin()\\n\\nclass PoseCalc:\\n \\n def __init__(self):\\n \\n self.pose_n = geometry_msgs.msg.PoseStamped()\\n self.pose_s = geometry_msgs.msg.PoseStamped()\\n\\n self.posearray_n = geometry_msgs.msg.PoseArray()\\n self.posearray_s = geometry_msgs.msg.PoseArray()\\n\\n self.pose_n.header.frame_id = \\\"base\\\"\\n self.pose_s.header.frame_id = \\\"base\\\"\\n \\n self.posearray_n.header.frame_id = \\\"base\\\"\\n self.posearray_s.header.frame_id = \\\"base\\\"\\n \\n def get_quaternion(self, lst1, lst2, matchlist=None):\\n # Python implementation of this method:\\n # Paul J. Besl and Neil D. McKay \\\"Method for registration of 3-D shapes\\\", \\n # Sensor Fusion IV: Control Paradigms and Data Structures, \\n # 586 (April 30, 1992); http://dx.doi.org/10.1117/12.57955\\n if not matchlist:\\n matchlist = range(len(lst1))\\n M = numpy.matrix([[0, 0, 0], [0, 0, 0], [0, 0, 0]])\\n \\n for i, coord1 in enumerate(lst1):\\n x = numpy.matrix(numpy.outer(coord1, lst2[matchlist[i]]))\\n M = M + x\\n \\n N11 = float(M[0][:, 0] + M[1][:, 1] + M[2][:, 2])\\n N22 = float(M[0][:, 0] - M[1][:, 1] - M[2][:, 2])\\n N33 = float(-M[0][:, 0] + M[1][:, 1] - M[2][:, 2])\\n N44 = float(-M[0][:, 0] - M[1][:, 1] + M[2][:, 2])\\n N12 = float(M[1][:, 2] - M[2][:, 1])\\n N13 = float(M[2][:, 0] - M[0][:, 2])\\n N14 = float(M[0][:, 1] - M[1][:, 0])\\n N21 = float(N12)\\n N23 = float(M[0][:, 1] + M[1][:, 0])\\n N24 = float(M[2][:, 0] + M[0][:, 2])\\n N31 = float(N13)\\n N32 = float(N23)\\n N34 = float(M[1][:, 2] + M[2][:, 1])\\n N41 = float(N14)\\n N42 = float(N24)\\n N43 = float(N34)\\n \\n N = numpy.matrix([[N11, N12, N13, N14], \\\\\\n [N21, N22, N23, N24], \\\\\\n [N31, N32, N33, N34], \\\\\\n [N41, N42, N43, N44]])\\n \\n \\n values, vectors = numpy.linalg.eig(N)\\n w = list(values)\\n mw = max(w)\\n quat = vectors[:, w.index(mw)]\\n quat = numpy.array(quat).reshape(-1,).tolist()\\n return quat\\n \\n def update_point(self, ClickedPoint):\\n nPoint = [0, 0, 0]\\n nPoint[0] = ClickedPoint.x\\n nPoint[1] = ClickedPoint.y\\n nPoint[2] = ClickedPoint.z\\n # return [ClickedPoint.x,ClickedPoint.y,ClickedPoint.z]\\n return nPoint\\n \\n def calculate_pose(self, point1, point2, point3):\\n\\n # Create Y axis and Z Axis\\n VY = self.subtractPoints(point1, point2)\\n VZ = numpy.cross(self.subtractPoints(point1, point2)\\n , self.subtractPoints\\n (point1, point3))\\n \\n # normalize Y and Z vectors\\n VYn = VY / numpy.linalg.norm(VY)\\n VZn = VZ / numpy.linalg.norm(VZ)\\n \\n # ensure that Z is correct orientation\\n if numpy.abs(VZn[1]) > numpy.abs(VZn[2]):\\n # Vy must be negative.\\n VZn = -numpy.sign(VZn[1]) * VZn\\n if numpy.abs(VZn[1]) < numpy.abs(VZn[2]):\\n # Vz must be negative.\\n VZn = -numpy.sign(VZn[2]) * VZn\\n # create X vector\\n VX = numpy.cross(VYn, VZn)\\n \\n # normalize the X vector\\n VXn = VX / numpy.linalg.norm(VX)\\n myFrame = [VXn, VYn, VZn]\\n \\n # Create Identity matrix\\n nX = [1, 0, 0]\\n nY = [0, 1, 0]\\n nZ = [0, 0, 1]\\n normalFrame = [nX, nY, nZ]\\n \\n # return transformation from one coordinate frame to another\\n quat = self.get_quaternion(normalFrame, myFrame, matchlist=None)\\n \\n \\n # find centroid of the three points to use as coordinates\\n self.pose_n.pose.position.x = (point1[0] + point2[0] + point3[0]) / 3 + 0.04 * VZn[0]\\n self.pose_n.pose.position.y = (point1[1] + point2[1] + point3[1]) / 3 + 0.04 * VZn[1]\\n self.pose_n.pose.position.z = (point1[2] + point2[2] + point3[2]) / 3 + 0.04 * VZn[2]\\n self.pose_n.pose.orientation.w = quat[0]\\n self.pose_n.pose.orientation.x = quat[1]\\n self.pose_n.pose.orientation.y = quat[2]\\n self.pose_n.pose.orientation.z = quat[3]\\n \\n # stop pose\\n \\n # find centroid of the three points to use as coordinates and move\\n # along the Z axis back .1 meters\\n self.pose_s.pose.position.x = (point1[0] + point2[0] \\n + point3[0]) / 3\\n self.pose_s.pose.position.y = (point1[1] + point2[1] \\n + point3[1]) / 3\\n self.pose_s.pose.position.z = (point1[2] + point2[2] \\n + point3[2]) / 3 + 0.20\\n self.pose_s.pose.orientation.w = quat[0]\\n self.pose_s.pose.orientation.x = quat[1]\\n self.pose_s.pose.orientation.y = quat[2]\\n self.pose_s.pose.orientation.z = quat[3] \\n \\n def subtractPoints(self, pf, pi):\\n return numpy.subtract(pf, pi) \\n \\ndef main():\\n run = PointClick()\\n run.point_clicker()\\n\\nif __name__ == '__main__':\\n sys.exit(main())\\n\"\n },\n {\n \"alpha_fraction\": 0.48145928978919983,\n \"alphanum_fraction\": 0.5014986991882324,\n \"avg_line_length\": 38.05351257324219,\n \"blob_id\": \"2b26d28976c8740a4c9db68b14d011d192ebc24d\",\n \"content_id\": \"b99a731f5500d4ab29801fef040f7784428c9660\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 11677,\n \"license_type\": \"no_license\",\n \"max_line_length\": 100,\n \"num_lines\": 299,\n \"path\": \"/scripts/grasp_loop_simple.py\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n\\nimport baxter_external_devices\\nfrom baxter_interface import CHECK_VERSION\\nimport baxter_interface\\nimport copy\\nfrom geometry_msgs.msg import (\\n PoseStamped,\\n Pose,\\n Point,\\n Quaternion,\\n)\\nimport geometry_msgs.msg\\nimport moveit_commander\\nimport moveit_msgs.msg\\nimport std_srvs.srv\\nimport rospy\\nfrom std_msgs.msg import Header\\nfrom std_msgs.msg import String\\nfrom std_srvs.srv import Empty\\nimport sys\\n\\n\\nclass ReceivePoses:\\n \\n \\n def __init__(self):\\n self.final_pose = PoseStamped()\\n self.stop_pose = PoseStamped()\\n\\n def callback(self, data):\\n self.stop_pose = data;\\n # rospy.loginfo(rospy.get_caller_id() + \\\" \\\\n %s\\\", self.stop_pose)\\n \\n def listen(self):\\n rospy.Subscriber(\\\"/mypose1\\\", PoseStamped, self.callback)\\n rospy.Subscriber(\\\"/mypose2\\\", PoseStamped, self.callback2)\\n rospy.sleep(0.2)\\n \\n def callback2(self, data):\\n self.final_pose = data;\\n # rospy.loginfo(rospy.get_caller_id() + \\\" \\\\n %s\\\", self.final_pose)\\n def clear_map(self):\\n rospy.wait_for_service(\\\"/clear_octomap\\\")\\n try:\\n h = rospy.ServiceProxy(\\\"/clear_octomap\\\",std_srvs.srv.Empty())\\n h()\\n except rospy.ServiceException, e:\\n print \\\"Service call failed: %s\\\"%e\\n \\ndef grapser_loop():\\n print \\\"===== Starting test code =====\\\"\\n\\n moveit_commander.roscpp_initialize(sys.argv)\\n \\n rospy.init_node('grasper_loop',\\n anonymous=True)\\n robot = moveit_commander.RobotCommander()\\n scene = moveit_commander.PlanningSceneInterface()\\n group = moveit_commander.MoveGroupCommander(\\\"right_arm\\\")\\n group.allow_replanning(True)\\n group.set_goal_orientation_tolerance(0.01)\\n group.set_goal_position_tolerance(0.01)\\n grip_right = baxter_interface.Gripper('right', CHECK_VERSION)\\n display_trajectory_publisher = rospy.Publisher(\\n '/move_group/display_planned_path',\\n moveit_msgs.msg.DisplayTrajectory,\\n queue_size=10)\\n \\n Grasp = ReceivePoses()\\n pose_table = geometry_msgs.msg.PoseStamped()\\n pose_table.header.frame_id = \\\"base\\\"\\n pose_table.pose.position.x = .5\\n pose_table.pose.position.y = -.92\\n pose_table.pose.position.z = -.71\\n pose_table.pose.orientation.x = 0\\n pose_table.pose.orientation.y = 0\\n pose_table.pose.orientation.z = 0\\n pose_table.pose.orientation.w = 1\\n \\n pose_kinect = geometry_msgs.msg.PoseStamped()\\n pose_kinect.header.frame_id = \\\"base\\\"\\n pose_kinect.pose.position.x = -.1325\\n pose_kinect.pose.position.y = -0.45\\n pose_kinect.pose.position.z = -.4\\n pose_kinect.pose.orientation.x = 0\\n pose_kinect.pose.orientation.y = 0\\n pose_kinect.pose.orientation.z = 1\\n pose_kinect.pose.orientation.w = 0\\n \\n pose_generic = geometry_msgs.msg.PoseStamped()\\n pose_generic.header.frame_id = \\\"right_gripper\\\"\\n pose_generic.pose.position.x = 0\\n pose_generic.pose.position.y = 0\\n pose_generic.pose.position.z = 0\\n pose_generic.pose.orientation.x = 0\\n pose_generic.pose.orientation.y = 0\\n pose_generic.pose.orientation.z = 0\\n pose_generic.pose.orientation.w = 1\\n scene.remove_world_object(\\\"box1\\\")\\n scene.remove_world_object(\\\"table\\\")\\n scene.remove_world_object(\\\"kinect\\\")\\n\\n\\n\\n rospy.sleep(.5)\\n\\n scene.add_box(\\\"table\\\", pose_table, size=(1.1, 1.1, 1.1))\\n scene.add_box(\\\"kinect\\\", pose_kinect, size=(.25, .25, 1))\\n \\n Grasp.clear_map()\\n octomap = False\\n rospy.sleep(2.5)\\n \\n # grip_right.calibrate()\\n\\n while not rospy.is_shutdown():\\n\\n n = raw_input(\\\"\\\\n!!!!! enter to continue or q to quit!!!!!\\\")\\n if n is \\\"^C\\\" or n is \\\"q\\\":\\n break\\n if n is \\\"\\\":\\n \\n rospy.sleep(.5)\\n # # listen to poses\\n Grasp.listen() \\n # grip_right.open()\\n scene.remove_world_object(\\\"box1\\\")\\n Grasp.clear_map()\\n\\n # This is the go to initial pose function\\n print \\\"===== Generating plan - initial pose =====\\\" \\n pose_init1 = geometry_msgs.msg.Pose()\\n pose_init1.position.x = 0.7\\n pose_init1.position.y = -0.25\\n pose_init1.position.z = 0.17\\n pose_init1.orientation.x = 1\\n pose_init1.orientation.y = 0\\n pose_init1.orientation.z = 0\\n pose_init1.orientation.w = 0\\n \\n # Joint angles for initial pose\\n initpose = [1.093728,\\n - 0.76929136,\\n - 0.14764565,\\n 0.98174770,\\n 0.08091748,\\n 1.34338367,\\n - 0.02914563]\\n \\n \\n # group.set_pose_target(pose_init1)\\n group.set_joint_value_target(initpose)\\n \\n initMove1 = group.go(wait=True)\\n print \\\"===== Motion Succeed? =====\\\", initMove1\\n \\n rospy.sleep(.5)\\n group.clear_pose_targets()\\n Grasp.clear_map()\\n\\n \\n # This is the go to stop pose function\\n # If the arm is in the initial position, go to stop pose\\n if initMove1: \\n print \\\"===== Generating plan - stop pose =====\\\"\\n pose_target1 = geometry_msgs.msg.Pose()\\n pose_target1.position.x = Grasp.stop_pose.pose.position.x\\n pose_target1.position.y = Grasp.stop_pose.pose.position.y\\n pose_target1.position.z = Grasp.stop_pose.pose.position.z\\n pose_target1.orientation.x = Grasp.stop_pose.pose.orientation.x\\n pose_target1.orientation.y = Grasp.stop_pose.pose.orientation.y\\n pose_target1.orientation.z = Grasp.stop_pose.pose.orientation.z\\n pose_target1.orientation.w = Grasp.stop_pose.pose.orientation.w\\n group.set_pose_target(pose_target1)\\n \\n stopMove1 = group.go(wait=True)\\n print \\\"===== Motion Succeed? =====\\\", stopMove1\\n \\n rospy.sleep(.5)\\n group.clear_pose_targets()\\n Grasp.clear_map()\\n\\n \\n # If the arm did not reach initial pose, stay.\\n else:\\n print \\\"***** ERROR: Could not reach initial Pose *****\\\"\\n stopMove1 = False\\n finalMove = False\\n stopMove2 = False\\n initMove2 = False\\n \\n # This is the move to final pose function\\n # If the arm is at the stop pose position, move to final pose\\n if stopMove1:\\n print \\\"===== Generating plan - final pose =====\\\"\\n Grasp.clear_map()\\n pose_target2 = geometry_msgs.msg.Pose()\\n pose_target2.position.x = Grasp.final_pose.pose.position.x\\n pose_target2.position.y = Grasp.final_pose.pose.position.y\\n pose_target2.position.z = Grasp.final_pose.pose.position.z \\n pose_target2.orientation.x = Grasp.final_pose.pose.orientation.x\\n pose_target2.orientation.y = Grasp.final_pose.pose.orientation.y\\n pose_target2.orientation.z = Grasp.final_pose.pose.orientation.z\\n pose_target2.orientation.w = Grasp.final_pose.pose.orientation.w\\n waypoint1 = []\\n waypoint1.append(pose_target2) \\n (plan2, fraction1) = group.compute_cartesian_path(waypoint1,\\n .01, 0.0, False)\\n print \\\"===== Moving to object =====\\\"\\n print \\\"===== Percentage of Path followed: \\\", (fraction1 / 1.00 * 100), \\\" % =====\\\"\\n if fraction1 > 0:\\n finalMove = group.execute(plan2)\\n print \\\"===== Motion Succeed? =====\\\", finalMove\\n else:\\n finalMove = False\\n initMove2 = False\\n rospy.sleep(.5)\\n \\n # If the arm does not go to stop pose, stay at initial pose \\n else:\\n print\\\"***** ERROR: Could not go to stop pose! *****\\\"\\n finalMove = False\\n stopMove2 = False\\n initMove2 = False\\n # This is the return to stop pose function\\n # if the arm is at the final pose, return to stop pose\\n if finalMove:\\n print \\\"===== Closing Gripper and Attaching Object =====\\\"\\n # grip_right.close()\\n rospy.sleep(2)\\n group.clear_pose_targets()\\n if octomap:\\n scene.attach_box(\\\"right_gripper\\\", \\\"box1\\\",\\n pose=pose_generic,\\n size=(.2, .2, .2),\\n touch_links=[\\\"right_gripper\\\",\\n \\\"r_gripper_r_finger_tip\\\",\\n \\\"r_gripper_r_finger\\\",\\n \\\"r_gripper_l_finger\\\",\\n \\\"r_gripper_l_finger_tip\\\",\\n \\\"right_gripper_base\\\",\\n \\\"right_hand_range\\\",\\n \\\"right_hand_camera\\\",\\n \\\"right_hand\\\",\\n \\\"right_wrist\\\",\\n \\\"right_lower_forearm\\\",\\n \\\"right_hand_accelerometer\\\"])\\n rospy.sleep(1)\\n Grasp.clear_map()\\n \\n print \\\"===== Generating plan - back to stop pose =====\\\"\\n waypoint2 = []\\n waypoint2.append(pose_target1) \\n (plan3, fraction2) = group.compute_cartesian_path(waypoint2\\n , .01, 0.0, False)\\n print \\\"===== backing from object ==========\\\"\\n print \\\"===== Percentage of Path followed: \\\", (fraction2 / 1.00 * 100), \\\" % ======\\\" \\n if fraction2 > 0:\\n stopMove2 = group.execute(plan3)\\n print \\\"===== Motion Succeed? ======\\\", stopMove2\\n else: stopMove2 = False\\n \\n rospy.sleep(1.5)\\n group.clear_pose_targets()\\n Grasp.clear_map()\\n\\n \\n # if the arm returned to stop pose, return to initial\\n if stopMove2:\\n print \\\"===== Generating plan - back to initial pose =====\\\"\\n # group.set_pose_target(pose_init1)\\n group.set_joint_value_target(initpose)\\n \\n initMove2 = group.go(wait=True)\\n print \\\"===== Motion Succeed? ======\\\", initMove2\\n \\n rospy.sleep(.5)\\n # grip_right.open()\\n group.clear_pose_targets()\\n rospy.sleep(1)\\n \\n # If the arm returned to initial successfully\\n if initMove2:\\n print\\\"===== Pickup Succeeded =====\\\"\\n scene.remove_attached_object(\\\"right_gripper\\\")\\n scene.remove_world_object(\\\"box1\\\")\\n Grasp.clear_map()\\n\\n rospy.sleep(2.0)\\n print \\\"===== STOPPING =====\\\"\\n \\n moveit_commander.roscpp_shutdown()\\n\\nif __name__ == '__main__':\\n try:\\n grapser_loop()\\n except rospy.ROSInterruptException:\\n pass\\n\"\n },\n {\n \"alpha_fraction\": 0.46457192301750183,\n \"alphanum_fraction\": 0.4928300380706787,\n \"avg_line_length\": 29.012659072875977,\n \"blob_id\": \"fd5a52acb3177e185af0b636f808898ba5231556\",\n \"content_id\": \"cf39db5a40cef21856c0e46cd820ccfac17c9e45\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4742,\n \"license_type\": \"no_license\",\n \"max_line_length\": 99,\n \"num_lines\": 158,\n \"path\": \"/scripts/PythonICP.py\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n\\nimport rospy\\nimport numpy as np\\nimport scipy.stats\\nfrom pylab import *\\nimport random\\n\\nclass ICPClass:\\n\\n \\n def T(self,x, T0, T1, k=1.0):\\n # apply an affine transformation to `x`\\n y = x * T0.T\\n y[:, 0] += T1[0, 0]\\n y[:, 1] += T1[1, 0]\\n return y * k\\n \\n\\n \\n def shuffle(self,X):\\n N = X.shape[0]\\n idx = range(N)\\n np.random.shuffle(idx)\\n return X[idx]\\n \\n \\n def translate(self,X, Y, errorfct):\\n # translate to align the centers of mass\\n mx = np.mean(X, axis=0).T\\n my = np.mean(Y, axis=0).T\\n translation = mx - my\\n I = np.matrix(np.eye(2))\\n Yp = self.T(Y, I, translation)\\n return errorfct(X, Yp), translation\\n \\n def randrot(self,X, Y, errorfct):\\n # perform a random rotation\\n theta = scipy.stats.uniform(0.0, 2.0 * np.pi).rvs()\\n c = np.cos(theta)\\n s = np.sin(theta)\\n rotation = np.matrix([[c, -s], [s, c]])\\n Z = np.matrix(np.zeros((2, 1)))\\n Yp = T(Y, rotation, Z)\\n return errorfct(X, Yp), rotation\\n \\n def randscale(self,X, Y, errorfct):\\n # perform a random scaling\\n k = scipy.stats.uniform(0.5, 1.0).rvs()\\n scaling = k * np.matrix(np.eye(2))\\n Z = np.matrix(np.zeros((2, 1)))\\n Yp = T(Y, scaling, Z)\\n return errorfct(X, Yp), scaling\\n \\n def SSE(self,X, Y): \\n return np.sum(np.array(X - Y) ** 2.0)\\n \\n def ptSSE(self,pt, X):\\n '''\\n Point-wise smallest squared error.\\n This is the distance from the point `pt`\\n to the closest point in `X`\\n '''\\n difference = pt - X\\n # x and y columns\\n xcol = np.ravel(difference[:, 0])\\n ycol = np.ravel(difference[:, 1])\\n # sum of the squared differences btwn `pt` and `X`\\n sqr_difference = xcol ** 2.0 + ycol ** 2.0\\n # nearest squared distance\\n distance = np.min(sqr_difference)\\n # index of the nearest point to `pt` in `X`\\n nearest_pt = np.argmin(sqr_difference)\\n return distance\\n \\n def NSSE(self,X, Y):\\n '''\\n Nearest sum squared error.\\n This is the sum of the squares of the\\n nearest differences between the points\\n of `X` and the points of `Y`\\n '''\\n err = 0.0\\n for x in X:\\n err += self.ptSSE(x, Y)\\n \\n def fit(self,X, Y, M, N, errorfct, threshold=1e-5):\\n T0 = list()\\n T1 = list()\\n errors = list()\\n errors.append(errorfct(X, Y))\\n print errors[-1]\\n Yp = Y.copy()\\n for iter in range(M):\\n \\n err, translation = self.translate(X, Yp, errorfct)\\n if err < threshold:\\n break\\n elif err < errors[-1]:\\n errors.append(err)\\n print errors[-1]\\n T1.append(translation)\\n I = np.matrix(np.eye(2))\\n Yp = T(Yp, I, T1[-1])\\n \\n rot = [ randrot(X, Yp, errorfct) for i in range(N) ] \\n rot.sort()\\n err, rotation = rot[0]\\n if err < threshold:\\n break\\n elif err < errors[-1]:\\n errors.append(err)\\n print errors[-1]\\n T0.append(rotation)\\n Z = np.matrix(np.zeros((2, 1)))\\n Yp = T(Yp, T0[-1], Z)\\n \\n scale = [ randscale(X, Yp, errorfct) for i in range(N) ]\\n scale.sort()\\n err, scaling = scale[0]\\n if err < threshold:\\n break\\n elif err < errors[-1]:\\n errors.append(err)\\n print errors[-1]\\n T0.append(scaling)\\n Z = np.matrix(np.zeros((2, 1)))\\n Yp = T(Yp, T0[-1], Z)\\n \\n return Yp\\n \\nicpclass = ICPClass()\\n\\n# X = np.matrix(scipy.stats.norm(0, 100).rvs((500, 2)))\\n# \\n# # rotate by some angle theta\\n# theta = scipy.stats.uniform(0.0, 2.0 * np.pi).rvs()\\n# c, s = np.cos(theta), np.sin(theta)\\n# # rotation matrix\\n# T0 = np.matrix([[c, -s], [s, c]])\\n# # translation vector\\n# T1 = np.matrix(scipy.stats.norm((3, 3), 1).rvs((2, 1)))\\n# # scaling factor\\n# k = scipy.stats.uniform(1, 5).rvs()\\n# \\n# Y = icpclass.T(X, T0, T1, k)\\n# \\n# sY = icpclass.shuffle(Y)\\n\\nX = [[0,1,2],[3,4,5],[6,7,8]]\\n\\nsY = [[6,7,8],[0,1,2],[3,4,5]]\\n\\nYp = icpclass.fit(X, sY, M=30, N=100, errorfct= icpclass.NSSE, threshold=1e-3)\\nscatter(np.ravel(X[:, 1]), np.ravel(X[:, 0]), marker='x', facecolor='b', s=100)\\nscatter(np.ravel(Yp[:, 1]), np.ravel(Yp[:, 0]), marker='o', edgecolor='r', facecolor='none', s=100)\\ngrid() ; title('ICP with 100 Points')\\nsavefig('icp_100pts.png', fmt='png', dpi=200)\\n\"\n },\n {\n \"alpha_fraction\": 0.43947675824165344,\n \"alphanum_fraction\": 0.44552910327911377,\n \"avg_line_length\": 32.045162200927734,\n \"blob_id\": \"f1f2d5e2e2b83d5133cab1f4cbec45ad035a2036\",\n \"content_id\": \"411929b7fa796ca3b08960c3420f9e3a746b0ff4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5122,\n \"license_type\": \"no_license\",\n \"max_line_length\": 80,\n \"num_lines\": 155,\n \"path\": \"/scripts/camera_calibrator.py\",\n \"repo_name\": \"Algias/UCF_Baxter_Grasp\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\nimport argparse\\nimport copy\\nfrom geometry_msgs.msg import (\\n PointStamped,\\n Point,\\n Quaternion,\\n)\\nimport geometry_msgs.msg\\nimport io\\nimport numpy\\nimport re\\nimport rospy\\nfrom rospy.numpy_msg import numpy_msg\\nfrom std_msgs.msg import Header\\nfrom std_msgs.msg import String\\nimport sys\\nimport tf\\n\\n\\n#===============================================================================\\n# DESCRIPTION\\n# This file is intended to take clicked points and a calibrated frame and write\\n# their transforms to a file for use in matlab\\n#===============================================================================\\nclass CameraCalibrator:\\n \\n def __init__(self):\\n\\n # Initialize global variables\\n self.clickedPoint = PointStamped()\\n\\n \\n def callback(self, data):\\n self.clickedPoint = data;\\n \\n def listen(self):\\n # Subscribe to /clicked_point topic from RVIZ\\n rospy.Subscriber(\\\"/clicked_point\\\", PointStamped, self.callback)\\n rospy.sleep(0.2)\\n \\n def print_points(self):\\n # Print out point values\\n print \\\"point 1: \\\", self.point1\\n \\n def update_point(self, ClickedPoint):\\n #Returns a point list from a ROS point to use for calculations\\n nPoint = [0, 0, 0]\\n nPoint[0] = ClickedPoint.x\\n nPoint[1] = ClickedPoint.y\\n nPoint[2] = ClickedPoint.z\\n # return [ClickedPoint.x,ClickedPoint.y,ClickedPoint.z]\\n return nPoint\\n \\n def calibrate(self):\\n print \\\"*****Starting Camera Calibrator Node\\\"\\n rospy.init_node('calibrate_camera',\\n anonymous=True)\\n \\n clicked_array = []\\n calib_frame_listener = tf.TransformListener()\\n calib_frame_position = []\\n calib_array = []\\n calib_list = []\\n clicked_list = []\\n \\n # creates a file to write out to\\n with io.FileIO(\\\"camera_transforms\\\", \\\"w\\\") as outFile: \\n # w opens a file for writing\\n rospy.sleep(.5)\\n \\n self.listen()\\n \\n for x in range(0, 20):\\n print \\\"\\\\n!!!!! Enter for point \\\",x+1,\\\"!!!!!\\\"\\n n = raw_input()\\n \\n rospy.sleep(.1)\\n \\n self.listen()\\n \\n if n == \\\"\\\":\\n pass\\n else:\\n break\\n \\n # Move the arm?\\n #Perhaps not for safety, use joint keyboard?\\n \\n # Click the point / auto transform from clicked pt. to kinect2\\n clicked_array = self.update_point(self.clickedPoint.point)\\n \\n # transform from calib_frame to base\\n try:\\n (calib_array, rot) = calib_frame_listener.lookupTransform(\\n '/base',\\n '/calib_frame',\\n rospy.Time(0))\\n except (tf.LookupException,\\n tf.ConnectivityException,\\n tf.ExtrapolationException):\\n print \\\"transform error\\\"\\n break\\n \\n # write to a list / convert tuple to list\\n calib_array = list(calib_array)\\n \\n print \\\"calib array: \\\",calib_array\\n print \\\"clicked array: \\\", clicked_array\\n \\n #Add the current values to the 2D array\\n calib_list.append(calib_array)\\n clicked_list.append(clicked_array)\\n \\n print \\\"\\\\n calib list: \\\", calib_list\\n print \\\"\\\\n clicked list: \\\", clicked_list\\n \\n #Foreach member in the list, write to individual numbers to the file\\n count = 0\\n for member in calib_list:\\n if count == 0:\\n outFile.write(\\\"calib list: \\\\n[\\\")\\n outFile.write(str(calib_list[count][0]) +\\n \\\" \\\"+ str(calib_list[count][1]) +\\n \\\" \\\"+ str(calib_list[count][2])+\\n \\\"; \\\") \\n \\n count += 1 \\n outFile.write(\\\"] \\\\n\\\")\\n \\n #Same process as earlier, but with the clicked list\\n count = 0\\n for member in clicked_list:\\n if count == 0:\\n outFile.write(\\\"clicked list: \\\\n[\\\")\\n outFile.write(str(clicked_list[count][0]) +\\n \\\" \\\"+ str(clicked_list[count][1]) +\\n \\\" \\\"+ str(clicked_list[count][2])+\\n \\\"; \\\") \\n \\n count += 1 \\n outFile.write(\\\"]\\\")\\n \\n outFile.close() # close file\\n \\n \\n \\n\\n \\ndef main():\\n run = CameraCalibrator()\\n run.calibrate()\\n\\nif __name__ == '__main__':\\n sys.exit(main())\\n\"\n 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like","value":[{"alpha_fraction":0.4602799713611603,"alphanum_fraction":0.4962267279624939,"avg_line_length":16.28884506225586,"blob_id":"4859c9b5131b77c19bd36ec3df7e29a2cf4c6fd5","content_id":"8c6f844a7359a3d88074900e1a45ee0ec8fb70d5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":17593,"license_type":"no_license","max_line_length":136,"num_lines":1004,"path":"/moreQuick.py","repo_name":"xiaoLinNoONE/pythonToQuick","src_encoding":"UTF-8","text":"'''\n# TODO (TOM):for quick\nprint (\"hello\")\n'''\n\n#第一个注释\n#The first guy\n\n\"\"\"\nif False:\n print (\"True\")\nelse:\n print (\"False\")\n\"\"\"\n\n\"\"\"\n#!/usr/bin/python3\nstr = 'runoob'\nprint(str)\nprint(str[0:-1])\nprint(str[0])\nprint(str[2:])\nprint(str + 'hello')\nprint(str * 2)\nprint(r'hello \\n hello')\nprint(str,end=\" \" )\nprint('hello \\n hello')\n\"\"\"\n\n\"\"\"\nimport sys\nfor i in sys.argv:\n print(\"1\")\n print (i)\nprint ('\\n ',sys.path)\n\"\"\"\n\n'''\nfrom sys import argv,path\nprint(argv,path)\n'''\n#\n# #!/usr/bin/python3\n# center = 100\n# miles = 1000.0\n# name = 'runboob'\n# print (center)\n# print (miles)\n# print (name)\n#\n# a, b,c = 1, 2, 'run'\n#\n\n# list = [\"abcd\", 784, 2.23, \"runboob\", 30.3]\n# tinylist = [\"123\", \"xiao\"]\n# print (list)\n# print (list[0])\n# print (list[1:3])\n# print (tinylist * 2)\n# print (list + tinylist)\n#\n# print (list[1:4:2])\n# print (list[0:4:2])\n\n# tuple = ('abcd', 786, 2.23, 'runboob', 70.2)\n# tinytuple = (123, 'runboob')\n# print (tuple)\n# print (tuple + tinytuple)\n\n# student = {'Tom', 'Jim', 'Marry', 'Tom', 'Jack', 'Rose'}\n# print (student)\n# if 'Rose' in student:\n# print (\"yes\")\n# else:\n# print (\"no\")\n# a = set('abcdfe')\n# b = set(\"abc\")\n# print(a)\n# print(a - b)\n# print(a | b)\n# print(a & b)\n# print(a ^ b)\n\n# dict = {'name':\"xiao\", 'age':12}\n# print (dict['name'])\n\n#!/usr/bin/python3\n# list1 = ['google', 'Ruboob', 1997, 2001]\n# list2 = [1, 2, 3, 4, 5, 6, 7]\n# print(\"list1[0] :\", list1[0])\n# print('list2[0:5]', list2[0:5])\n# list1[1] = 'mi'\n# print(list1[1])\n# del list2[2]\n# print(list2)\n# print(len(list1))\n# print(max(list2), min(list2))\n\n\n# list1 = ['google', 'runboob', 'tao']\n# list2 =list(range(50))\n# list1.extend(list2)\n# print(list1, list2)\n# print(list2.index(0))\n# list2.insert(1, 20)\n# print (list2)\n# list2.pop(1)\n# list2.remove(9)\n# print (list2)\n# list2.reverse()\n# print(list2)\n# list6 = list2.copy()\n#\n# list2.sort(reverse = True)\n# print('jj', list2)\n# print('jj', list6)\n\n# Tuple1 = (1.2, 3, 4)\n# Tuple2 = (2,4)\n# Tuple3 = Tuple1 + Tuple2\n# print(Tuple3)\n# Tuple4 = Tuple1[0:3]\n# print(Tuple3, 23, len(Tuple2), max(Tuple1), min(Tuple2))\n# print(len(Tuple2))\n# list1 = [1,2,3]\n# tuple1 = tuple(list1)\n# print(tuple1)\n\n# dict = {'Name': 'Runboob', 'Age': 5, 'Class': 'First'}\n# print(dict['Name'])\n# dict['Name'] = 'Xiao'\n# print(dict['Name'], len(dict), str(dict), type(dict) )\n# dict2 = dict.copy ()\n# dict.clear()\n# print(dict2, 3)\n\n#!/usr/bin/python3\n# seq = ('name', 'age', 'sex')\n# dict = dict.fromkeys(seq)\n# dict2 = dict.fromkeys(seq, 12)\n# print(dict, dict2)\n# print(dict2.get('name'))\n# if 'sex' not in dict2:\n# print(\"This is man\")\n# else:\n# print('This is plant')\n# print(dict2.items())\n\n# dict = {'name': 'run', 'age': 7}\n# t = list(dict.keys())\n# print (t)\n\n\n# thisset = set(('google', 'tao', 'baidu'))\n# thisset.add('face')\n# thisset.add(2)\n# thisset.remove('tao')\n# thisset.pop()\n# print(thisset,len(thisset))\n# if 'baidu' in thisset:\n# print(2)\n\n# a = 0\n# b = 1\n# while(b<12):\n# print(b)\n# b = a+b\n# a = b\n\n# age = int(input(\"input the age\"))\n# if age < 0:\n# print(\"oh no\")\n# elif age == 1:\n# print(\"so small\")\n# elif age == 2:\n# print('oh two')\n# else:\n# print(\"bye\")\n\n# number = 8\n# guess = -1\n# print('input')\n# while guess != number:\n# guess = int(input(\"now\"))\n# if guess < number:\n# print('more a little')\n# elif guess > number:\n# print('less a little')\n# elif guess == number:\n# print(100)\n\n# n = 100\n# sum = 0\n# counter = 1\n# while counter <= n:\n# sum =sum + counter\n# counter += 1\n# else:\n# print('out')\n# print(sum)\n\n# sites = ['baidu', 'XIAO']\n# for site in sites:\n# print (site)\n# if site == 'baidu':\n# break\n\n# for i in range(1, 10 , 4):\n# print (i)\n\n# list = [1, 2, 3, 4]\n# m = iter(list)\n# # print (next(m))\n# # print (next(m))\n# for ml in m:\n# print (ml)\n#\n# class MyNumbers:\n# def __iter__(self):\n# self.a = 1\n# return self\n#\n# def __next__(self):\n# if self.a <= 20:\n# x = self.a\n# self.a += 1\n# return x\n# else:\n# raise StopIteration\n#\n#\n# myclass = MyNumbers()\n# myiter = iter(myclass)\n#\n# for x in myiter:\n# print(x)\n#\n# def hello():\n# print('hello')\n# # hello()\n#\n# def area(width, height):\n# return width * height\n# def print_welcome(name):\n# print('welcome', name)\n#\n#\n# s = area(2, 4)\n# print (s)\n# print_welcome('mi')\n\n# def ChangeInt(a):\n# a =10\n# print (a)\n# b = 2\n# ChangeInt(b)\n# print(b)\n#\n# def changeme( mylist ):\n# mylist.append([1, 2, 3, 4])\n# print(mylist)\n# return\n# mylist1 = [10, 20]\n# changeme(mylist1)\n# print(mylist1)\n\n# def printme( str ):\n# print (str)\n# # return\n# printme (\"xiao\")\n#\n# printme(str = \"2\")\n# def printinf(name, age):\n# print (name, age)\n# printinf(name = \"mi\", age = '2')\n# printinf(age = 12, name = 'XUE')\n\n# def printsec(name = \"we\",age ):\n# print(name, age)\n# return\n# printsec( age=1)\n#\n# def printinfo(arg1, **vartuple):\n# print(arg1, vartuple)\n# return\n#\n#\n# printinfo(1, a = 2, b = 29, c = 30)\n\n# def f(a, b, *, c ):\n# print(a, b, c)\n# f(1, 2,c = 3)\n\n# sum = lambda arg1, arg2: arg1 + arg2\n# print (sum(10, 20))\n\n\n\n# num = 1\n# def fun1():\n# global num\n# num = 2\n# a = 0\n# def fun2():\n# nonlocal a\n# a = 10\n# fun2()\n# print (num, a)\n# fun1()\n# print (num )\n\n\n# s = '332'\n# print( repr(s).zfill(10))\n# print(s)\n\n# print('{}next{}'.format(\"bird\", 'dog'))\n# print('{0}next{1}'.format(\"mi\", 'snake'))\n# print(\"{wang}next{miao}\".format(wang ='dog', miao = \"star\"))\n# print('{0:.2f}'.format(2))\n# print('%10.7f'%3.1223455556)\n\n# table = {'Google': 1, 'Baidu': 2, 'Mi': 3}\n# print('{Google},{Baidu},{Mi}'.format(**table))\n# print('{0[Google]}'.format(table))\n\n# str = input('input now')\n# print(str)\n#\n# f = open('fileLearn.txt','w')\n#\n# f2 = open('/fileLearn2.txt','w')\n# f3 = open('../fileLearn3.txt','w')\n# f.write(\"xiaomr\")\n# f2.close()\n# f3.close()\n# # # f4.close()\n# f1 = open('file1.txt', 'w', encoding='utf-8')\n# f1.write('当前目录？\\n')\n# f1.write('true')\n# f1.close()\n#\n# # macOS系统下，不推荐在根目录直接创建文件，会产生PermissionError: [Errno 13] Permission denied，但可以在一些允许读写的文件夹下面操作，如'/Users/wuliytTaotao/Desktop/file2.txt'。\n# f2 = open('/file2.txt', 'w', encoding='utf-8')\n# f2.write('在哪儿？\\n')\n# f2.write('在根目录，windows系统下就是在此文件的盘的根目录下，如E:\\\\file2.txt，C:\\Users\\Administrator\\Desktop\\PythonEndStudy\\fileLearn.txt，本例就是在c盘')\n# f2.close()\n#\n# f3 = open('./file3.txt', 'w', encoding='utf-8')\n# f3.write('当前目录？\\n')\n# f3.write('yes')\n# f3.close()\n#\n# f4 = open('../file4.txt', 'w', encoding='utf-8')\n# f4.write('在哪儿？\\n')\n# f4.write('该.py文件所在位置的上级目录')\n# f4.close()\n#\n# f = open('file1.txt', 'r')\n#\n# str = f.readline()\n# print(str)\n# f.close()\n\n# f = open(\"./file1.txt\",'w+')\n#\n#\n# num = f.write( \"Python是xiaom,i\" )\n# f.close()\n# print (num)\n# f = open(\"./file1.txt\",'rb+' )\n# str = f.readline()\n# f.seek(-1,2)\n# print(f.read())\n# print(f.read())\n# loction1 = f.tell()\n# print(str, )\n# print(loction1)\n#\n# # 关闭打开的文件\n# f.close()\n\n# import pickle\n# data1 = {'a': [1, 2, 3],\n# 'b':[2, 3, 4],\n# 'c':None}\n# se = [1,2,3]\n# se.append(data1)\n# print(se)\n# output = open('file01.pkl','wb')\n# pickle.dump(se,output)\n# output.close()\n# output2 = open('file01.pkl','rb')\n# data1 = pickle.load(output2)\n# print(data1)\n# output2.close()\n\n\n# while True: print(\"1919\")\n#\n# while True:\n# try:\n# x = int(input('now'))\n# break\n# except :\n# print('no')\n\n# import sys\n# try:\n# f = open(\"./file1.txt\",'rb+' )\n# f = open('file1.txt', 'r')\n# s = f.readline()\n# i = int(s.strip(\"3\"))\n# print(i)\n# f.close()\n# except OSError as err:\n# print(\"Os{0}\".format(err))\n# except ValueError:\n# print('blue')\n# except:\n# print(\"'red\")\n\n# try :\n# raise NameError(\"mi\")\n# except NameError:\n# print(\"uu\")\n # raise\n\n# try:\n# raise KeyboardInterrupt\n# finally:\n# print('you')\n\n# def divide(x, y):\n# try:\n# result = x / y\n# except ZeroDivisionError:\n# print(\"rr\")\n# else:\n# print(result)\n# finally:\n# print ('you')\n# divide(2,0)\n\n# with open ('file1.txt','r') as f:\n# for line in open('file1.txt','r'):\n# print(line)\n\n# class MyClass:\n# i = 12345\n# def f(self):\n# return 'hello'\n#\n# x = MyClass()\n# print(x.i)\n# print(x.f())\n\n# class Complex:\n# def __init__(self, realpt, imagpart):\n# self.r = realpt\n# self.i = imagpart\n#\n#\n# x = Complex(2, 4)\n# print (x.r, x.i)\n\n# class Test:\n# def prt(self):\n# print(self)\n# print(self.__class__)\n#\n# t = Test()\n# t.prt()\n\n# class people:\n# name = ''\n# age = 2\n# __weight = 0\n# def __init__(self, n, a, m):\n# self.name = n\n# self.age = a\n# self.__weight = m\n#\n# def speak(self):\n# print('%sspeak'%(self.name), self.age)\n#\n# p = people(\"xiao\", 1, 23)\n# p.speak()\n#\n# class Student(people):\n# grade = 8\n# def __init__(self, n, a, m, g):\n# self.grade = g\n# self.age = a\n# self.name = n\n# def speak(self):\n# print(self.grade, self.age, self.name)\n#\n# s = Student(\"ss\", 12, 11, 9)\n# s.speak()\n\n# class Site:\n# def __init__(self, name, url):\n# self.name = name\n# self.__url = url\n# def who(self):\n# print(self.name,self.__url)\n# self.__xiao()\n# def __xiao(self):\n# print(\"hello\")\n# site = Site(\"xiao\",\"www.like.com\")\n# site.who()\n\n# def func(a,b):\n#\n# def line(x):\n# return a * x + b\n#\n# return line\n#\n#\n# line = func(6, 3)\n# print(line(3))\n# x = 3\n#\n#\n# def f1():\n# x = 3\n# x = x+1\n# print (x)\n#\n#\n# f1()\n#\n# for i in range(3):\n# print (i)\n#\n# flist = []\n# for i in range(3):\n# def foo(x):\n# print (x + i)\n# flist.append(foo)\n# # for f in flist:\n# # foo(2)\n# foo(2)\n\n# for i in range(3):\n# print(i)\n# def foo(x):\n# print (x+i)\n# foo(1)\n# print(i)\n\n# def f1():\n# list1 = []\n# for i in range(5):\n# def n(x,i=i):\n# return i+x\n# list1.append(n)\n# return list1\n# print()\n# f1()(2)\n\n\n#\n# flist = []\n# for i in range(3):\n# def foo(x,y=i): print (x + y)\n# flist.append(foo)\n#\n# for f in flist:\n# foo(2)\n\n\n# for i in range(5):\n# def n():\n# print(i,12)\n#\n# n()\n\n# x = 1\n# def b():\n# print(x)\n# b()\n#\n# print(x)\n# x = 1\n\n# class Veter:\n# def __init__(self,a):\n# self.a = a\n# def __str__(self):\n# return '(%d)'%(self.a)\n# def __add__(self,other):\n# return Veter(self.a + other.a)\n#\n# v0 = Veter(100)\n# v1 = Veter(200)\n# print(v1+v0)\n#\n# for i in range (2,4):\n# print(i)\n\n# import time\n#\n# def display_time(func):\n# def wrapper():\n# t1 = time.time()\n# func()\n# t2 = time.time()\n# print(t2 - t1)\n# return wrapper\n#\n#\n# def is_prime(num):\n# if num < 2:\n# return False\n# elif num == 2:\n# return True\n# else :\n# for i in range(2, num):\n# if num % i == 0:\n# return False\n# return True\n#\n# @display_time\n# def prime_nums():\n#\n# for i in range(2,10000):\n# if is_prime(i):\n# print (i)\n#\n# prime_nums()\n\n # def prime_nums():\n # t1 = time.time()\n # for i in range(2, 10000):\n # if is_prime(i):\n # print (i)\n # t2 = time.time()\n # t3 = t2 - t1\n # print (t3)\n\n\n\n\n# is_prime(3)\n\n# for j in range(2,1000):\n# if is_prime(j):\n# print(j)\n\n\n# def hi(name = 'yasoob'):\n# def great():\n# return\"ok\"\n# def welcome():\n# return \"no\"\n# if name == \"yasoob\":\n# return great\n# else:\n# return welcome\n#\n# # a = hi()\n# # b = a()\n# # print(b)\n#\n# a =hi()()\n# print(a)\n\n# def hi():\n# return \"hi\"\n# def doSomeThingBeforeHi(func):\n# print('first do')\n# print(func())\n#\n# doSomeThingBeforeHi(hi)\n\n# def a_new_decorator(a_func):\n# def wrap_the_func():\n# print(\"yo\")\n# a_func()\n# print(\"no\")\n# return wrap_the_func\n#\n# @a_new_decorator\n# def a_func():\n# print ('ku')\n#\n# # a_new_decorator(a_func)()\n# a_func()\n# #\n# def mover(f):\n# def wrap(*args):\n# print(\"no use\")\n# f(*args)\n# return wrap\n#\n#\n#\n# @mover\n# def printr(a,b,c) :\n# print(a+b)\n\n# c = printr(1,2,4)\n\n# def hi(fun):\n# def inner():\n# print(\"Welcome \" )\n# fun()\n# return inner\n#\n# @hi\n# def hello():\n# print(\"hello world\" )\n#\n# hello()\n\n# -*- coding: UTF-8 -*-\n# python3\n# 1\n# print ('Hello World')\n\n# 2\n# num1 = input('input fir')\n# num2 = input('input sec')\n# sum = float(num1) + float(num2)\n# print('the {0} and {1} add is {2}'.format(num1, num2, sum))\n\n\n#3\n# num = float(input('the number'))\n# num_aqrt = num ** 0.5\n# print('%0.3f is %0.3f'%(num, num_aqrt))\n\n#4\n# a = float(input('the fir'))\n# b = float(input('the sec'))\n# c = float(input('the thir'))\n# s = (a + b + c) / 2\n# are = (s*(s-a)*(s-b)*(s-c)**0.5)\n# print(are)\n\n#5\n# import random\n# print(random.randint(0, 9))\n#\n\n# 6\n# celsius = float(input('tem'))\n# fahrenheit = (celsius * 1.8) + 32\n# print('%0.2f is %0.2f' %(celsius, fahrenheit))\n\n# 7.1\n# x = input('the first')\n# y = input('the sec')\n# temp = x\n# x = y\n# y = temp\n# print('{0}, {1}'.format(x, y))\n\n#7.2\n# x = input('x')\n# y = input('y')\n#\n# x, y = y, x\n#\n# print(x, y)\n\n# 8.1\n# num = float(input('x'))\n# if num >= 0:\n# if num == 0:\n# print('0')\n# else:\n# print('+')\n# else:\n# print('-')\n\n# 8.1\n\n# num = float(input('x'))\n# if num > 0:\n# print('+')\n# elif num == 0:\n# print('0')\n# else:\n# print('-')\n\n#10\n# num = int(input('x'))\n# if(num % 2) == 0:\n# print('yes')\n# else:\n# print('no')\n\n#11\n# num = float(input('input x'))\n# if num % 4 ==0:\n# if num % 100 ==0:\n# if num % 4 == 0:\n# print ('yes1')\n# else :\n# print('no2')\n# else:\n#\n# print('no1')\n#\n# else:\n# print('not2')\n\n# 12\n# print(max(1, 3))\n# print(max([1, 4, 6]))\n\n#13\n# num = int(input(\"x\"))\n# if num > 1:\n# if num == 2:\n# print ('yes')\n# else:\n# for i in range(2, num):\n# if num % i == 0:\n# print('no')\n# break\n# else:\n# print('yes')\n# else:\n# print('no')\n\n# 15\n# num = int(input('x'))\n# factorial = 1\n# if num < 0:\n# print('no')\n# elif num == 0:\n# print ('1')\n# else:\n# for i in range(1, num+1):\n# factorial = factorial * i\n# print(factorial)\n\n# 16\n# for i in range(1, 10):\n# for j in range(1,i + 1):\n# print('{0} * {1} = {2} '.format(j, i, i * j),end =\"\")\n# print('')\n\n# print ('qq' ,end='\\t')\n# print ('qq' ,end='\\t')\n\n# 17\n# nterms = int(input('x'))\n#\n# n1 = 0\n# n2 = 1\n# count = 2\n# if nterms <= 0:\n# print('no')\n# elif nterms == 1:\n# print (n1)\n# else:\n# print(n1,\"\\n\",n2)\n# while count < nterms:\n# print (n1 + n2)\n# nth = n1 + n2\n# n1 = n2\n# n2 = nth\n# count +=1\n\n# 18\n# num = int(input('x'))\n# sum = 0\n# n = len(str(num))\n#\n# temp = num\n# while temp > 0:\n# digit = temp % 10\n# sum = sum + digit ** n\n# temp = temp // 10\n#\n# if sum == num:\n# print('yes')\n# else:\n# print('no')\n\n\n# 19\n# dec = int(input('x'))\n# print(dec)\n# print(bin(dec))\n# print(oct(dec))\n# print(hex(dec))\n\n# 20\n# c = input('str')\n# a = int(input(\"x\"))\n# print(ord(c))\n# print(chr(a))\n\n# 21\n# def hcf(x, y):\n# if x > y:\n# smaller = y\n# else:\n# smaller = x\n#\n# for i in range(1, smaller + 1):\n# if (x % i == 0) and (y % i == 0):\n# hcf = i\n# return hcf\n#\n# num1 = int(input(\"x\"))\n# num2 = int(input(\"y\"))\n# print(hcf(num1,num2))\n\n# 22\n# def lcm(x, y):\n# if x >y :\n# greater = x\n# else:\n# greater = y\n# while True:\n# if (greater % x == 0) and (greater % y == 0):\n# lcm = greater\n# break\n# greater += 1\n# return lcm\n#\n# num1 = int(input('x'))\n# num2 = int(input('y'))\n# print(lcm(num1, num2))\n\n#23\n# def add(x,y):\n# return x + y\n#\n# def substract(x, y):\n# return x - y\n# def multipy(x, y):\n# return x * y\n# def divide(x, y):\n# return x / y\n#\n# print(1, 2, 3, 4 )\n#\n# choice = int(input('choice'))\n# num1 = int(input('x'))\n# num2 = int(input(\"y\"))\n#\n# if choice == 1:\n# a = add(num1, num2)\n# elif choice == 2:\n# a = substract(num1, num2)\n# elif choice == 3:\n# a = multipy(num1, num2)\n# else :\n# a = divide(num2, num2)\n#\n# print(a)\n\n#24\n# import calendar\n# yi = int(input('year'))\n# mm = int(input('month'))\n#\n# print(calendar.month(yi, mm))\n\n#25\n# def recv_fibo(n):\n# if n <= 1:\n# return n\n# else:\n# return(recv_fibo(n-1) + recv_fibo(n-2))\n#\n# nterms = int(input('x'))\n# if nterms <=0 :\n# print('no')\n# else:\n# print('yes')\n# for i in range(0, nterms):\n#\n# print (i, recv_fibo(i))\n#26\n\n# with open(\"file1.txt\",\"wt\") as out_file:\n# out_file.write('you')\n# with open(\"file1.txt\",\"rt\")as in_file:\n# print(in_file.read())\n\n#27\n# str = 'xiaomi'\n# print(str.isalnum())\n# print(str.isalpha())\n# print(str.islower())\n# print(str.isspace())\n# print(str.istitle())\n# print(str.isupper())\n#\n# print(str.upper())\n# # print(str.lower())\n# print(str.title())\n# print(str)\n# print(str.capitalize())\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.4602799713611603,\n \"alphanum_fraction\": 0.4962267279624939,\n \"avg_line_length\": 16.28884506225586,\n \"blob_id\": \"4859c9b5131b77c19bd36ec3df7e29a2cf4c6fd5\",\n \"content_id\": \"8c6f844a7359a3d88074900e1a45ee0ec8fb70d5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 17593,\n \"license_type\": \"no_license\",\n \"max_line_length\": 136,\n \"num_lines\": 1004,\n \"path\": \"/moreQuick.py\",\n \"repo_name\": \"xiaoLinNoONE/pythonToQuick\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"'''\\n# TODO (TOM):for quick\\nprint (\\\"hello\\\")\\n'''\\n\\n#第一个注释\\n#The first guy\\n\\n\\\"\\\"\\\"\\nif False:\\n print (\\\"True\\\")\\nelse:\\n print (\\\"False\\\")\\n\\\"\\\"\\\"\\n\\n\\\"\\\"\\\"\\n#!/usr/bin/python3\\nstr = 'runoob'\\nprint(str)\\nprint(str[0:-1])\\nprint(str[0])\\nprint(str[2:])\\nprint(str + 'hello')\\nprint(str * 2)\\nprint(r'hello \\\\n hello')\\nprint(str,end=\\\" \\\" )\\nprint('hello \\\\n hello')\\n\\\"\\\"\\\"\\n\\n\\\"\\\"\\\"\\nimport sys\\nfor i in sys.argv:\\n print(\\\"1\\\")\\n print (i)\\nprint ('\\\\n ',sys.path)\\n\\\"\\\"\\\"\\n\\n'''\\nfrom sys import argv,path\\nprint(argv,path)\\n'''\\n#\\n# #!/usr/bin/python3\\n# center = 100\\n# miles = 1000.0\\n# name = 'runboob'\\n# print (center)\\n# print (miles)\\n# print (name)\\n#\\n# a, b,c = 1, 2, 'run'\\n#\\n\\n# list = [\\\"abcd\\\", 784, 2.23, \\\"runboob\\\", 30.3]\\n# tinylist = [\\\"123\\\", \\\"xiao\\\"]\\n# print (list)\\n# print (list[0])\\n# print (list[1:3])\\n# print (tinylist * 2)\\n# print (list + tinylist)\\n#\\n# print (list[1:4:2])\\n# print (list[0:4:2])\\n\\n# tuple = ('abcd', 786, 2.23, 'runboob', 70.2)\\n# tinytuple = (123, 'runboob')\\n# print (tuple)\\n# print (tuple + tinytuple)\\n\\n# student = {'Tom', 'Jim', 'Marry', 'Tom', 'Jack', 'Rose'}\\n# print (student)\\n# if 'Rose' in student:\\n# print (\\\"yes\\\")\\n# else:\\n# print (\\\"no\\\")\\n# a = set('abcdfe')\\n# b = set(\\\"abc\\\")\\n# print(a)\\n# print(a - b)\\n# print(a | b)\\n# print(a & b)\\n# print(a ^ b)\\n\\n# dict = {'name':\\\"xiao\\\", 'age':12}\\n# print (dict['name'])\\n\\n#!/usr/bin/python3\\n# list1 = ['google', 'Ruboob', 1997, 2001]\\n# list2 = [1, 2, 3, 4, 5, 6, 7]\\n# print(\\\"list1[0] :\\\", list1[0])\\n# print('list2[0:5]', list2[0:5])\\n# list1[1] = 'mi'\\n# print(list1[1])\\n# del list2[2]\\n# print(list2)\\n# print(len(list1))\\n# print(max(list2), min(list2))\\n\\n\\n# list1 = ['google', 'runboob', 'tao']\\n# list2 =list(range(50))\\n# list1.extend(list2)\\n# print(list1, list2)\\n# print(list2.index(0))\\n# list2.insert(1, 20)\\n# print (list2)\\n# list2.pop(1)\\n# list2.remove(9)\\n# print (list2)\\n# list2.reverse()\\n# print(list2)\\n# list6 = list2.copy()\\n#\\n# list2.sort(reverse = True)\\n# print('jj', list2)\\n# print('jj', list6)\\n\\n# Tuple1 = (1.2, 3, 4)\\n# Tuple2 = (2,4)\\n# Tuple3 = Tuple1 + Tuple2\\n# print(Tuple3)\\n# Tuple4 = Tuple1[0:3]\\n# print(Tuple3, 23, len(Tuple2), max(Tuple1), min(Tuple2))\\n# print(len(Tuple2))\\n# list1 = [1,2,3]\\n# tuple1 = tuple(list1)\\n# print(tuple1)\\n\\n# dict = {'Name': 'Runboob', 'Age': 5, 'Class': 'First'}\\n# print(dict['Name'])\\n# dict['Name'] = 'Xiao'\\n# print(dict['Name'], len(dict), str(dict), type(dict) )\\n# dict2 = dict.copy ()\\n# dict.clear()\\n# print(dict2, 3)\\n\\n#!/usr/bin/python3\\n# seq = ('name', 'age', 'sex')\\n# dict = dict.fromkeys(seq)\\n# dict2 = dict.fromkeys(seq, 12)\\n# print(dict, dict2)\\n# print(dict2.get('name'))\\n# if 'sex' not in dict2:\\n# print(\\\"This is man\\\")\\n# else:\\n# print('This is plant')\\n# print(dict2.items())\\n\\n# dict = {'name': 'run', 'age': 7}\\n# t = list(dict.keys())\\n# print (t)\\n\\n\\n# thisset = set(('google', 'tao', 'baidu'))\\n# thisset.add('face')\\n# thisset.add(2)\\n# thisset.remove('tao')\\n# thisset.pop()\\n# print(thisset,len(thisset))\\n# if 'baidu' in thisset:\\n# print(2)\\n\\n# a = 0\\n# b = 1\\n# while(b<12):\\n# print(b)\\n# b = a+b\\n# a = b\\n\\n# age = int(input(\\\"input the age\\\"))\\n# if age < 0:\\n# print(\\\"oh no\\\")\\n# elif age == 1:\\n# print(\\\"so small\\\")\\n# elif age == 2:\\n# print('oh two')\\n# else:\\n# print(\\\"bye\\\")\\n\\n# number = 8\\n# guess = -1\\n# print('input')\\n# while guess != number:\\n# guess = int(input(\\\"now\\\"))\\n# if guess < number:\\n# print('more a little')\\n# elif guess > number:\\n# print('less a little')\\n# elif guess == number:\\n# print(100)\\n\\n# n = 100\\n# sum = 0\\n# counter = 1\\n# while counter <= n:\\n# sum =sum + counter\\n# counter += 1\\n# else:\\n# print('out')\\n# print(sum)\\n\\n# sites = ['baidu', 'XIAO']\\n# for site in sites:\\n# print (site)\\n# if site == 'baidu':\\n# break\\n\\n# for i in range(1, 10 , 4):\\n# print (i)\\n\\n# list = [1, 2, 3, 4]\\n# m = iter(list)\\n# # print (next(m))\\n# # print (next(m))\\n# for ml in m:\\n# print (ml)\\n#\\n# class MyNumbers:\\n# def __iter__(self):\\n# self.a = 1\\n# return self\\n#\\n# def __next__(self):\\n# if self.a <= 20:\\n# x = self.a\\n# self.a += 1\\n# return x\\n# else:\\n# raise StopIteration\\n#\\n#\\n# myclass = MyNumbers()\\n# myiter = iter(myclass)\\n#\\n# for x in myiter:\\n# print(x)\\n#\\n# def hello():\\n# print('hello')\\n# # hello()\\n#\\n# def area(width, height):\\n# return width * height\\n# def print_welcome(name):\\n# print('welcome', name)\\n#\\n#\\n# s = area(2, 4)\\n# print (s)\\n# print_welcome('mi')\\n\\n# def ChangeInt(a):\\n# a =10\\n# print (a)\\n# b = 2\\n# ChangeInt(b)\\n# print(b)\\n#\\n# def changeme( mylist ):\\n# mylist.append([1, 2, 3, 4])\\n# print(mylist)\\n# return\\n# mylist1 = [10, 20]\\n# changeme(mylist1)\\n# print(mylist1)\\n\\n# def printme( str ):\\n# print (str)\\n# # return\\n# printme (\\\"xiao\\\")\\n#\\n# printme(str = \\\"2\\\")\\n# def printinf(name, age):\\n# print (name, age)\\n# printinf(name = \\\"mi\\\", age = '2')\\n# printinf(age = 12, name = 'XUE')\\n\\n# def printsec(name = \\\"we\\\",age ):\\n# print(name, age)\\n# return\\n# printsec( age=1)\\n#\\n# def printinfo(arg1, **vartuple):\\n# print(arg1, vartuple)\\n# return\\n#\\n#\\n# printinfo(1, a = 2, b = 29, c = 30)\\n\\n# def f(a, b, *, c ):\\n# print(a, b, c)\\n# f(1, 2,c = 3)\\n\\n# sum = lambda arg1, arg2: arg1 + arg2\\n# print (sum(10, 20))\\n\\n\\n\\n# num = 1\\n# def fun1():\\n# global num\\n# num = 2\\n# a = 0\\n# def fun2():\\n# nonlocal a\\n# a = 10\\n# fun2()\\n# print (num, a)\\n# fun1()\\n# print (num )\\n\\n\\n# s = '332'\\n# print( repr(s).zfill(10))\\n# print(s)\\n\\n# print('{}next{}'.format(\\\"bird\\\", 'dog'))\\n# print('{0}next{1}'.format(\\\"mi\\\", 'snake'))\\n# print(\\\"{wang}next{miao}\\\".format(wang ='dog', miao = \\\"star\\\"))\\n# print('{0:.2f}'.format(2))\\n# print('%10.7f'%3.1223455556)\\n\\n# table = {'Google': 1, 'Baidu': 2, 'Mi': 3}\\n# print('{Google},{Baidu},{Mi}'.format(**table))\\n# print('{0[Google]}'.format(table))\\n\\n# str = input('input now')\\n# print(str)\\n#\\n# f = open('fileLearn.txt','w')\\n#\\n# f2 = open('/fileLearn2.txt','w')\\n# f3 = open('../fileLearn3.txt','w')\\n# f.write(\\\"xiaomr\\\")\\n# f2.close()\\n# f3.close()\\n# # # f4.close()\\n# f1 = open('file1.txt', 'w', encoding='utf-8')\\n# f1.write('当前目录？\\\\n')\\n# f1.write('true')\\n# f1.close()\\n#\\n# # macOS系统下，不推荐在根目录直接创建文件，会产生PermissionError: [Errno 13] Permission denied，但可以在一些允许读写的文件夹下面操作，如'/Users/wuliytTaotao/Desktop/file2.txt'。\\n# f2 = open('/file2.txt', 'w', encoding='utf-8')\\n# f2.write('在哪儿？\\\\n')\\n# f2.write('在根目录，windows系统下就是在此文件的盘的根目录下，如E:\\\\\\\\file2.txt，C:\\\\Users\\\\Administrator\\\\Desktop\\\\PythonEndStudy\\\\fileLearn.txt，本例就是在c盘')\\n# f2.close()\\n#\\n# f3 = open('./file3.txt', 'w', encoding='utf-8')\\n# f3.write('当前目录？\\\\n')\\n# f3.write('yes')\\n# f3.close()\\n#\\n# f4 = open('../file4.txt', 'w', encoding='utf-8')\\n# f4.write('在哪儿？\\\\n')\\n# f4.write('该.py文件所在位置的上级目录')\\n# f4.close()\\n#\\n# f = open('file1.txt', 'r')\\n#\\n# str = f.readline()\\n# print(str)\\n# f.close()\\n\\n# f = open(\\\"./file1.txt\\\",'w+')\\n#\\n#\\n# num = f.write( \\\"Python是xiaom,i\\\" )\\n# f.close()\\n# print (num)\\n# f = open(\\\"./file1.txt\\\",'rb+' )\\n# str = f.readline()\\n# f.seek(-1,2)\\n# print(f.read())\\n# print(f.read())\\n# loction1 = f.tell()\\n# print(str, )\\n# print(loction1)\\n#\\n# # 关闭打开的文件\\n# f.close()\\n\\n# import pickle\\n# data1 = {'a': [1, 2, 3],\\n# 'b':[2, 3, 4],\\n# 'c':None}\\n# se = [1,2,3]\\n# se.append(data1)\\n# print(se)\\n# output = open('file01.pkl','wb')\\n# pickle.dump(se,output)\\n# output.close()\\n# output2 = open('file01.pkl','rb')\\n# data1 = pickle.load(output2)\\n# print(data1)\\n# output2.close()\\n\\n\\n# while True: print(\\\"1919\\\")\\n#\\n# while True:\\n# try:\\n# x = int(input('now'))\\n# break\\n# except :\\n# print('no')\\n\\n# import sys\\n# try:\\n# f = open(\\\"./file1.txt\\\",'rb+' )\\n# f = open('file1.txt', 'r')\\n# s = f.readline()\\n# i = int(s.strip(\\\"3\\\"))\\n# print(i)\\n# f.close()\\n# except OSError as err:\\n# print(\\\"Os{0}\\\".format(err))\\n# except ValueError:\\n# print('blue')\\n# except:\\n# print(\\\"'red\\\")\\n\\n# try :\\n# raise NameError(\\\"mi\\\")\\n# except NameError:\\n# print(\\\"uu\\\")\\n # raise\\n\\n# try:\\n# raise KeyboardInterrupt\\n# finally:\\n# print('you')\\n\\n# def divide(x, y):\\n# try:\\n# result = x / y\\n# except ZeroDivisionError:\\n# print(\\\"rr\\\")\\n# else:\\n# print(result)\\n# finally:\\n# print ('you')\\n# divide(2,0)\\n\\n# with open ('file1.txt','r') as f:\\n# for line in open('file1.txt','r'):\\n# print(line)\\n\\n# class MyClass:\\n# i = 12345\\n# def f(self):\\n# return 'hello'\\n#\\n# x = MyClass()\\n# print(x.i)\\n# print(x.f())\\n\\n# class Complex:\\n# def __init__(self, realpt, imagpart):\\n# self.r = realpt\\n# self.i = imagpart\\n#\\n#\\n# x = Complex(2, 4)\\n# print (x.r, x.i)\\n\\n# class Test:\\n# def prt(self):\\n# print(self)\\n# print(self.__class__)\\n#\\n# t = Test()\\n# t.prt()\\n\\n# class people:\\n# name = ''\\n# age = 2\\n# __weight = 0\\n# def __init__(self, n, a, m):\\n# self.name = n\\n# self.age = a\\n# self.__weight = m\\n#\\n# def speak(self):\\n# print('%sspeak'%(self.name), self.age)\\n#\\n# p = people(\\\"xiao\\\", 1, 23)\\n# p.speak()\\n#\\n# class Student(people):\\n# grade = 8\\n# def __init__(self, n, a, m, g):\\n# self.grade = g\\n# self.age = a\\n# self.name = n\\n# def speak(self):\\n# print(self.grade, self.age, self.name)\\n#\\n# s = Student(\\\"ss\\\", 12, 11, 9)\\n# s.speak()\\n\\n# class Site:\\n# def __init__(self, name, url):\\n# self.name = name\\n# self.__url = url\\n# def who(self):\\n# print(self.name,self.__url)\\n# self.__xiao()\\n# def __xiao(self):\\n# print(\\\"hello\\\")\\n# site = Site(\\\"xiao\\\",\\\"www.like.com\\\")\\n# site.who()\\n\\n# def func(a,b):\\n#\\n# def line(x):\\n# return a * x + b\\n#\\n# return line\\n#\\n#\\n# line = func(6, 3)\\n# print(line(3))\\n# x = 3\\n#\\n#\\n# def f1():\\n# x = 3\\n# x = x+1\\n# print (x)\\n#\\n#\\n# f1()\\n#\\n# for i in range(3):\\n# print (i)\\n#\\n# flist = []\\n# for i in range(3):\\n# def foo(x):\\n# print (x + i)\\n# flist.append(foo)\\n# # for f in flist:\\n# # foo(2)\\n# foo(2)\\n\\n# for i in range(3):\\n# print(i)\\n# def foo(x):\\n# print (x+i)\\n# foo(1)\\n# print(i)\\n\\n# def f1():\\n# list1 = []\\n# for i in range(5):\\n# def n(x,i=i):\\n# return i+x\\n# list1.append(n)\\n# return list1\\n# print()\\n# f1()(2)\\n\\n\\n#\\n# flist = []\\n# for i in range(3):\\n# def foo(x,y=i): print (x + y)\\n# flist.append(foo)\\n#\\n# for f in flist:\\n# foo(2)\\n\\n\\n# for i in range(5):\\n# def n():\\n# print(i,12)\\n#\\n# n()\\n\\n# x = 1\\n# def b():\\n# print(x)\\n# b()\\n#\\n# print(x)\\n# x = 1\\n\\n# class Veter:\\n# def __init__(self,a):\\n# self.a = a\\n# def __str__(self):\\n# return '(%d)'%(self.a)\\n# def __add__(self,other):\\n# return Veter(self.a + other.a)\\n#\\n# v0 = Veter(100)\\n# v1 = Veter(200)\\n# print(v1+v0)\\n#\\n# for i in range (2,4):\\n# print(i)\\n\\n# import time\\n#\\n# def display_time(func):\\n# def wrapper():\\n# t1 = time.time()\\n# func()\\n# t2 = time.time()\\n# print(t2 - t1)\\n# return wrapper\\n#\\n#\\n# def is_prime(num):\\n# if num < 2:\\n# return False\\n# elif num == 2:\\n# return True\\n# else :\\n# for i in range(2, num):\\n# if num % i == 0:\\n# return False\\n# return True\\n#\\n# @display_time\\n# def prime_nums():\\n#\\n# for i in range(2,10000):\\n# if is_prime(i):\\n# print (i)\\n#\\n# prime_nums()\\n\\n # def prime_nums():\\n # t1 = time.time()\\n # for i in range(2, 10000):\\n # if is_prime(i):\\n # print (i)\\n # t2 = time.time()\\n # t3 = t2 - t1\\n # print (t3)\\n\\n\\n\\n\\n# is_prime(3)\\n\\n# for j in range(2,1000):\\n# if is_prime(j):\\n# print(j)\\n\\n\\n# def hi(name = 'yasoob'):\\n# def great():\\n# return\\\"ok\\\"\\n# def welcome():\\n# return \\\"no\\\"\\n# if name == \\\"yasoob\\\":\\n# return great\\n# else:\\n# return welcome\\n#\\n# # a = hi()\\n# # b = a()\\n# # print(b)\\n#\\n# a =hi()()\\n# print(a)\\n\\n# def hi():\\n# return \\\"hi\\\"\\n# def doSomeThingBeforeHi(func):\\n# print('first do')\\n# print(func())\\n#\\n# doSomeThingBeforeHi(hi)\\n\\n# def a_new_decorator(a_func):\\n# def wrap_the_func():\\n# print(\\\"yo\\\")\\n# a_func()\\n# print(\\\"no\\\")\\n# return wrap_the_func\\n#\\n# @a_new_decorator\\n# def a_func():\\n# print ('ku')\\n#\\n# # a_new_decorator(a_func)()\\n# a_func()\\n# #\\n# def mover(f):\\n# def wrap(*args):\\n# print(\\\"no use\\\")\\n# f(*args)\\n# return wrap\\n#\\n#\\n#\\n# @mover\\n# def printr(a,b,c) :\\n# print(a+b)\\n\\n# c = printr(1,2,4)\\n\\n# def hi(fun):\\n# def inner():\\n# print(\\\"Welcome \\\" )\\n# fun()\\n# return inner\\n#\\n# @hi\\n# def hello():\\n# print(\\\"hello world\\\" )\\n#\\n# hello()\\n\\n# -*- coding: UTF-8 -*-\\n# python3\\n# 1\\n# print ('Hello World')\\n\\n# 2\\n# num1 = input('input fir')\\n# num2 = input('input sec')\\n# sum = float(num1) + float(num2)\\n# print('the {0} and {1} add is {2}'.format(num1, num2, sum))\\n\\n\\n#3\\n# num = float(input('the number'))\\n# num_aqrt = num ** 0.5\\n# print('%0.3f is %0.3f'%(num, num_aqrt))\\n\\n#4\\n# a = float(input('the fir'))\\n# b = float(input('the sec'))\\n# c = float(input('the thir'))\\n# s = (a + b + c) / 2\\n# are = (s*(s-a)*(s-b)*(s-c)**0.5)\\n# print(are)\\n\\n#5\\n# import random\\n# print(random.randint(0, 9))\\n#\\n\\n# 6\\n# celsius = float(input('tem'))\\n# fahrenheit = (celsius * 1.8) + 32\\n# print('%0.2f is %0.2f' %(celsius, fahrenheit))\\n\\n# 7.1\\n# x = input('the first')\\n# y = input('the sec')\\n# temp = x\\n# x = y\\n# y = temp\\n# print('{0}, {1}'.format(x, y))\\n\\n#7.2\\n# x = input('x')\\n# y = input('y')\\n#\\n# x, y = y, x\\n#\\n# print(x, y)\\n\\n# 8.1\\n# num = float(input('x'))\\n# if num >= 0:\\n# if num == 0:\\n# print('0')\\n# else:\\n# print('+')\\n# else:\\n# print('-')\\n\\n# 8.1\\n\\n# num = float(input('x'))\\n# if num > 0:\\n# print('+')\\n# elif num == 0:\\n# print('0')\\n# else:\\n# print('-')\\n\\n#10\\n# num = int(input('x'))\\n# if(num % 2) == 0:\\n# print('yes')\\n# else:\\n# print('no')\\n\\n#11\\n# num = float(input('input x'))\\n# if num % 4 ==0:\\n# if num % 100 ==0:\\n# if num % 4 == 0:\\n# print ('yes1')\\n# else :\\n# print('no2')\\n# else:\\n#\\n# print('no1')\\n#\\n# else:\\n# print('not2')\\n\\n# 12\\n# print(max(1, 3))\\n# print(max([1, 4, 6]))\\n\\n#13\\n# num = int(input(\\\"x\\\"))\\n# if num > 1:\\n# if num == 2:\\n# print ('yes')\\n# else:\\n# for i in range(2, num):\\n# if num % i == 0:\\n# print('no')\\n# break\\n# else:\\n# print('yes')\\n# else:\\n# print('no')\\n\\n# 15\\n# num = int(input('x'))\\n# factorial = 1\\n# if num < 0:\\n# print('no')\\n# elif num == 0:\\n# print ('1')\\n# else:\\n# for i in range(1, num+1):\\n# factorial = factorial * i\\n# print(factorial)\\n\\n# 16\\n# for i in range(1, 10):\\n# for j in range(1,i + 1):\\n# print('{0} * {1} = {2} '.format(j, i, i * j),end =\\\"\\\")\\n# print('')\\n\\n# print ('qq' ,end='\\\\t')\\n# print ('qq' ,end='\\\\t')\\n\\n# 17\\n# nterms = int(input('x'))\\n#\\n# n1 = 0\\n# n2 = 1\\n# count = 2\\n# if nterms <= 0:\\n# print('no')\\n# elif nterms == 1:\\n# print (n1)\\n# else:\\n# print(n1,\\\"\\\\n\\\",n2)\\n# while count < nterms:\\n# print (n1 + n2)\\n# nth = n1 + n2\\n# n1 = n2\\n# n2 = nth\\n# count +=1\\n\\n# 18\\n# num = int(input('x'))\\n# sum = 0\\n# n = len(str(num))\\n#\\n# temp = num\\n# while temp > 0:\\n# digit = temp % 10\\n# sum = sum + digit ** n\\n# temp = temp // 10\\n#\\n# if sum == num:\\n# print('yes')\\n# else:\\n# print('no')\\n\\n\\n# 19\\n# dec = int(input('x'))\\n# print(dec)\\n# print(bin(dec))\\n# print(oct(dec))\\n# print(hex(dec))\\n\\n# 20\\n# c = input('str')\\n# a = int(input(\\\"x\\\"))\\n# print(ord(c))\\n# print(chr(a))\\n\\n# 21\\n# def hcf(x, y):\\n# if x > y:\\n# smaller = y\\n# else:\\n# smaller = x\\n#\\n# for i in range(1, smaller + 1):\\n# if (x % i == 0) and (y % i == 0):\\n# hcf = i\\n# return hcf\\n#\\n# num1 = int(input(\\\"x\\\"))\\n# num2 = int(input(\\\"y\\\"))\\n# print(hcf(num1,num2))\\n\\n# 22\\n# def lcm(x, y):\\n# if x >y :\\n# greater = x\\n# else:\\n# greater = y\\n# while True:\\n# if (greater % x == 0) and (greater % y == 0):\\n# lcm = greater\\n# break\\n# greater += 1\\n# return lcm\\n#\\n# num1 = int(input('x'))\\n# num2 = int(input('y'))\\n# print(lcm(num1, num2))\\n\\n#23\\n# def add(x,y):\\n# return x + y\\n#\\n# def substract(x, y):\\n# return x - y\\n# def multipy(x, y):\\n# return x * y\\n# def divide(x, y):\\n# return x / y\\n#\\n# print(1, 2, 3, 4 )\\n#\\n# choice = int(input('choice'))\\n# num1 = int(input('x'))\\n# num2 = int(input(\\\"y\\\"))\\n#\\n# if choice == 1:\\n# a = add(num1, num2)\\n# elif choice == 2:\\n# a = substract(num1, num2)\\n# elif choice == 3:\\n# a = multipy(num1, num2)\\n# else :\\n# a = divide(num2, num2)\\n#\\n# print(a)\\n\\n#24\\n# import calendar\\n# yi = int(input('year'))\\n# mm = int(input('month'))\\n#\\n# print(calendar.month(yi, mm))\\n\\n#25\\n# def recv_fibo(n):\\n# if n <= 1:\\n# return n\\n# else:\\n# return(recv_fibo(n-1) + recv_fibo(n-2))\\n#\\n# nterms = int(input('x'))\\n# if nterms <=0 :\\n# print('no')\\n# else:\\n# print('yes')\\n# for i in range(0, nterms):\\n#\\n# print (i, recv_fibo(i))\\n#26\\n\\n# with open(\\\"file1.txt\\\",\\\"wt\\\") as out_file:\\n# out_file.write('you')\\n# with open(\\\"file1.txt\\\",\\\"rt\\\")as in_file:\\n# print(in_file.read())\\n\\n#27\\n# str = 'xiaomi'\\n# print(str.isalnum())\\n# print(str.isalpha())\\n# print(str.islower())\\n# print(str.isspace())\\n# print(str.istitle())\\n# print(str.isupper())\\n#\\n# print(str.upper())\\n# # print(str.lower())\\n# print(str.title())\\n# print(str)\\n# print(str.capitalize())\\n\\n\"\n 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like","value":[{"alpha_fraction":0.6625291109085083,"alphanum_fraction":0.6801784038543701,"avg_line_length":23.788461685180664,"blob_id":"d4d14be0cda235adb47dc3145af6b94a6c62524b","content_id":"4603d151e10dc71835be058a9ae4b38e980747ee","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":5158,"license_type":"no_license","max_line_length":109,"num_lines":208,"path":"/src/timonier.cpp","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"#include \"ros/ros.h\"\n//#include <algorithm>\n#include \"command.h\"\n#include \"qg/servo_command.h\"\n#include \"qg/ordreAmiral.h\"\n\n#include \"std_msgs/String.h\"\n#include \"std_msgs/Bool.h\"\n\n#define MILLIS 1000\n\nusing std::vector;\nusing std::string;\nusing std::sort;\nusing std::reverse;\n\nros::Publisher command_pub;\n//vector<Command*> commandList;\n//vector<Command*> sentCommandList;\nros::Time tstart;\nCommand* currentCommand;\n//Command* previousCommand;\nCommand* askedCommand;\nCommand* lastSentCommand;\nstd::string id;\nbool isReversing;\n\n// -----------------------------------partie autorisation emergency ------------------------\n\nbool autorisation = false;\nros::Time lastbeat;\n\n\nvoid heartbeat(const std_msgs::Bool::ConstPtr& msg){\n\tif(msg->data){lastbeat = ros::Time::now();}\n}\n\nvoid testTimeOut(const ros::TimerEvent&){\n\tif(ros::Time::now()-lastbeat>=ros::Duration(2.0)){\n\t\tautorisation = false;\t\n\t\tqg::servo_command motorCommand;\n\t\tmotorCommand.device = \"motor\";\n\t\tmotorCommand.value= 0.0;\n\t\tlastSentCommand->value = 0.0;\n\t\tcurrentCommand->value = 0.0;\n\t\tcurrentCommand->angle = 0.0;\n\t\tcommand_pub.publish(motorCommand);\n\t}\n\telse{\n\t\tautorisation=true;\n\t}\n}\n\n// -----------------------------------fin de cette partie -----------------------------------\n\n\n\n\nvoid launchCommand(const ros::TimerEvent&){\n\tif(isReversing==true || !autorisation){return;}\n\telse{\n\t\tqg::servo_command motorCommand;\n\t\tmotorCommand.device = \"motor\";\n\t\tqg::servo_command gearCommand;\n\t\tgearCommand.device = \"vitesse\";\n\t\tgearCommand.value = 2;\n\t\tqg::servo_command directionCommand;\n\t\tdirectionCommand.device = \"direction\";\n\t\t\n\t\tfloat Vprecedent = lastSentCommand->value;\n\t\tfloat Vcible = currentCommand->value;\n\t\t\n\t\tdouble Vincrement = std::min((double)std::abs(Vprecedent-Vcible), 2.0);\n\t\t\n\t\tif(Vprecedent > Vcible){\n\t\t\tmotorCommand.value= Vprecedent - Vincrement;\n\t\t}\n\t\telse{\n\t\t\tmotorCommand.value= Vprecedent + Vincrement;\n\t\t}\n\t\t\n\t\t\n\t\tfloat Dprecedent = lastSentCommand->angle;\n\t\tfloat Dcible = currentCommand->angle;\n\t\t\n\t\tdouble Dincrement = std::min((double)std::abs(Dprecedent-Dcible), 10.0);\n\t\t\n\t\tif(motorCommand.value < 10 && motorCommand.value > -25){\n\t\t\tdirectionCommand.value = Dprecedent;\n\t\t}\n\t\t\n\t\telse if(Dprecedent > Dcible){\n\t\t\tdirectionCommand.value= Dprecedent - Dincrement;\n\t\t}\n\t\telse{\n\t\t\tdirectionCommand.value= Dprecedent + Dincrement;\n\t\t}\n\t\t\n\t\tif(directionCommand.value == 10){\n\t\t\tdirectionCommand.value = 9;\n\t\t}\n\t\t\n\t\tcommand_pub.publish(motorCommand);\n\t\tcommand_pub.publish(directionCommand);\n\t\t\n\t\tlastSentCommand->value = motorCommand.value;\n\t\tlastSentCommand->angle = directionCommand.value;\n\t\tlastSentCommand->stamp = ros::Time::now();\n\t\treturn;\n\t}\n\n}\n\nvoid reverse(){\n\tif(autorisation){\n\t\tqg::servo_command servoCommand;\n\t\t\n\t\tROS_INFO(\"warning : reversing!\");\n\t\t\n\t\tservoCommand.device = \"motor\";\n\t\t\n\t\tservoCommand.value = 0;\n \tcommand_pub.publish(servoCommand);\n \tros::Duration(0.1).sleep();\n \tservoCommand.value = -5;\n \tcommand_pub.publish(servoCommand);\n \tros::Duration(0.1).sleep();\n \tservoCommand.value = -11.45;\n \tcommand_pub.publish(servoCommand);\n \tros::Duration(0.15).sleep();\n \tservoCommand.value = -11.5;\n \tcommand_pub.publish(servoCommand);\n \tros::Duration(0.15).sleep();\n \tservoCommand.value = -11.55;\n \tcommand_pub.publish(servoCommand);\n \tros::Duration(0.1).sleep();\n//\t servoCommand.value = -25;\n//\t command_pub.publish(servoCommand);\n//\t ros::Duration(0.5).sleep();\n \t\n \tROS_INFO(\"warning : reserving done !\");\n \t\n \tlastSentCommand->value = -15;\n \tlastSentCommand->stamp = ros::Time::now();\n }\n}\n\n\nvoid enAvantToute(const qg::ordreAmiral::ConstPtr& msg)\n{\n\tif(isReversing==true)return;\n\t\n\t//commandList.push_back(new Command(previousCommand->stamp,previousCommand->value,previousCommand->angle ));\n\t//previousCommand = currentCommand;\n\taskedCommand = new Command(msg->header.stamp, msg->vitesse , msg->direction);\n\t\n\tif ((lastSentCommand->value)*(askedCommand->value)>0){\n\t\tcurrentCommand = askedCommand;\n\t}\n\telse{\n\t\tif(askedCommand->value >= 0){\n\t\t\tcurrentCommand = askedCommand;\n\t\t}\n\t\telse{\n\t\t\t\n\t\t\tisReversing=true;\n\t\t\treverse();\n\t\t\tisReversing=false;\n\t\t\tcurrentCommand = askedCommand;\t\t\t\n\t\t}\n\t}\n}\n\n\n\nint main(int argc, char **argv)\n{\n ros::init(argc, argv, \"timonier\");\n ros::NodeHandle n;\n\n\t//emergencyBreak on:\n ros::Subscriber emergencyBond = n.subscribe(\"bondServo\",100,heartbeat);\n ros::Publisher iAmAlive = n.advertise<std_msgs::String>(\"servoListenerIsAlive\",1000);\n lastbeat = ros::Time::now();\n\n\n\n //déclare le publisher pour le topic servo_command\n command_pub = n.advertise<qg::servo_command>(\"servo_command\", 1000);\n \n ros::Subscriber ordre = n.subscribe(\"ordreDeLAmiral\", 1000, enAvantToute);\n isReversing=false;\n tstart = ros::Time::now();\n lastSentCommand = new Command(tstart,1,0);\n currentCommand = new Command(tstart,1,0);\n askedCommand = new Command(tstart,1,0);\n ros::Rate loop_rate(10);\n\t\n //lecture du tableau de paramètres\n \n ros::Timer timer = n.createTimer(ros::Duration(0.2), launchCommand);\n ros::Timer heartbeat = n.createTimer(ros::Duration(0.2), testTimeOut);\n \n //ros::Subscriber sub = n.subscribe(\"servo_command\", 100, interpretCommand);\n ros::spin();\n\n return 0;\n}\n"},{"alpha_fraction":0.5916179418563843,"alphanum_fraction":0.5974658727645874,"avg_line_length":18,"blob_id":"7826ecdd13074565d9eafb141a43bb50d60b667c","content_id":"7e81f970f0d00ea05707c2dd91beffbeb0750d86","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":1026,"license_type":"no_license","max_line_length":63,"num_lines":54,"path":"/src/command.cpp","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"#include \"ros/ros.h\"\n#include \"command.h\"\n\n\nusing std::vector;\nusing std::string;\n\nCommand::Command(){\n this->time = 0;\n this->device = \"\";\n this->value = 0;\n}\n\nCommand::Command(int gtime, string gdevice, float gvalue){\n this->time = gtime;\n this->device = gdevice;\n this->value = gvalue;\n}\n\nCommand::Command(ros::Time gstamp, float gvalue, float gangle){\n this->stamp = gstamp;\n this->value = gvalue;\n this->angle = gangle;\n}\n\n\nCommand::Command(string command)\n{\n vector<string> res;\n split(command, ' ', res);\n this->time = atoi(res[0].c_str());\n this->device = res[1];\n this->value = atof(res[2].c_str());\n}\n\nbool Command::operator<(Command const & b)\n{\n return this->time < b.time;\n}\n\nvoid Command::split(const string& s, char c, vector<string>& v)\n{\n string::size_type i = 0;\n string::size_type j = s.find(c);\n\n while (j != string::npos) {\n v.push_back(s.substr(i, j-i));\n i = ++j;\n j = s.find(c, j);\n\n if (j == string::npos)\n v.push_back(s.substr(i, s.length()));\n }\n}\n"},{"alpha_fraction":0.5611705183982849,"alphanum_fraction":0.5789991617202759,"avg_line_length":24.575471878051758,"blob_id":"df9d89bcbc7b863f4eb4ec23c047aaecce2c9d49","content_id":"6457a5ba3f727366602be95d7b99ab6ad1077de4","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":8133,"license_type":"no_license","max_line_length":193,"num_lines":318,"path":"/src/amiralTitanic.cpp","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"//~ #include <ros/ros.h>\n#include \"ros/ros.h\"\n//~ #include \"std_msgs/String.h\"\n#include \"qg/ordreAmiral.h\"\n\n//~ #include <sstream>\n#include <cmath>\n\n#include <tf/transform_listener.h>\n//#include <occupancy_grid_utils/exceptions.h>\n#include <nav_msgs/MapMetaData.h>\n#include <nav_msgs/OccupancyGrid.h>\n\n#define ROBOT_WIDTH 0.40\n#define SAFE_DISTANCE 0.5\n\nqg::ordreAmiral* msg;\n\nnav_msgs::OccupancyGrid grid;\nnav_msgs::MapMetaData meta;\n\n\nros::Publisher chatter_pub;\nros::Subscriber rtab_listener;\ndouble robot_x, robot_y, robot_yaw, hz_dx, hz_dy, vt_dx, vt_dy;\ndouble resolution, grid_x, grid_y;\nint grid_height, grid_width;\nbool valid_grid;\nbool needDisplay;\n\nint getCellIndex(double x, double y);\nvoid gridListener(const nav_msgs::OccupancyGrid& msg);\nvoid ordreSimple(float motor, float direction, float temps);\nbool testPath();\nvoid generateDx();\n\nvoid gridListener(const nav_msgs::OccupancyGrid& msg)\n{\n\tgrid = msg;\n\tmeta = grid.info;\n\tgrid_x = meta.origin.position.x;\n\tgrid_y = meta.origin.position.y;\n\tresolution = meta.resolution;\n\tgrid_height = meta.height;\n\tgrid_width = meta.width;\n\t//~ ROS_INFO(\"Updated map . Now %d %d\", grid_height, grid_width);\n\t//~ std::cout << getCellIndex(grid_x , grid_y) << \":\" << getCellIndex(grid_x + resolution, grid_y) << \":\" << getCellIndex(grid_x, grid_y + resolution) <<std::endl;\n\t//~ std::cout << getCellIndex(grid_x + resolution, grid_y + resolution) << \":\" << getCellIndex(grid_x + 2*resolution, grid_y) << \":\" << getCellIndex(grid_x, grid_y + 2*resolution) <<std::endl;\n\tvalid_grid = true;\n\tneedDisplay = true;\n}\n\nvoid ordreSimple(float motor, float direction, float temps){\n\tmsg->vitesse = motor;\n\tmsg->direction = direction;\n\tchatter_pub.publish(*msg);\n\t\n\tros::Duration(temps).sleep();\n\t\n\tmsg->vitesse = 0.0;\n\tmsg->direction = 0.0;\n\tchatter_pub.publish(*msg);\n\n}\n\nvoid printGrid(int8_t pgrid[]){\n\tif(needDisplay){\n\t\tstd::cout<< \"Printing Grid \"<< grid_height << \"x\" << grid_width << \" \" << grid_x << \";\" << grid_y << \"/\" << resolution << std::endl ;\n\t\tint8_t val;\n\t\tfor(int j = 0; j < grid_height ; j++){\n\t\t\tfor(int i = 0 ; i < grid_width ; i++){\n\t\t\t\tval = pgrid[ i + (grid_height - j -1)* grid_width];\n\t\t\t\tif(val == 100){\n\t\t\t\t\tstd::cout<<\".\";\n\t\t\t\t} else if(val == 101){\n\t\t\t\t\tstd::cout<<\"R\";\n\t\t\t\t} else if(val == 102){\n\t\t\t\t\tstd::cout<<\"X\";\n\t\t\t\t} else{\n\t\t\t\t\tstd::cout<<\" \";\n\t\t\t\t}\n\t\t\t}\n\t\t\tstd::cout<<\"|\"<<std::endl;\n\t\t\tneedDisplay = false;\n\t\t}\n\t}\n}\n\nvoid printBothGrid(int8_t pgrid[]){\n\tif(needDisplay){\n\t\tstd::cout<< \"Printing Grid \"<< grid_height << \"x\" << grid_width << \" \" << grid_x << \";\" << grid_y << \"/\" << resolution << std::endl ;\n\t\tint8_t val;\n\t\tfor(int j = 0; j < grid_height ; j++){\n\t\t\tfor(int i = 0 ; i < grid_width ; i++){\n\t\t\t\tval = pgrid[ i + (grid_height - j -1)* grid_width];\n\t\t\t\tif(val == 100){\n\t\t\t\t\tstd::cout<<\".\";\n\t\t\t\t} else if(val == 101){\n\t\t\t\t\tstd::cout<<\"R\";\n\t\t\t\t} else if(val == 102){\n\t\t\t\t\tstd::cout<<\"X\";\n\t\t\t\t} else{\n\t\t\t\t\tstd::cout<<\" \";\n\t\t\t\t}\n\t\t\t}\n\t\t\tstd::cout<<\" | \";\n\t\t\tfor(int i = 0 ; i < grid_width ; i++){\n\t\t\t\tval = grid.data[ i + (grid_height - j -1)* grid_width];\n\t\t\t\tif(val == 100){\n\t\t\t\t\tstd::cout<<\".\";\n\t\t\t\t} else if(val == 101){\n\t\t\t\t\tstd::cout<<\"R\";\n\t\t\t\t} else if(val == 102){\n\t\t\t\t\tstd::cout<<\"X\";\n\t\t\t\t} else if(val == 0){\n\t\t\t\t\tstd::cout<<\"0\";\n\t\t\t\t} else{\n\t\t\t\t\tstd::cout<<\" \";\n\t\t\t\t}\n\t\t\t}\n\t\t\tstd::cout << \"|\" << std::endl\n\t\t}\n\t\tneedDisplay = false;\n\t\t\n\t}\n}\n\nvoid printOccupancyGrid(){\n\tif(needDisplay){\n\t\tstd::cout<< \"Printing OccupancyGrid \"<< std::endl;\n\t\tint8_t val;\n\t\tfor(int j = 0; j < grid_height ; j++){\n\t\t\tfor(int i = 0 ; i < grid_width ; i++){\n\t\t\t\tval = grid.data[ i + (grid_height - j -1)* grid_width];\n\t\t\t\tif(val == 100){\n\t\t\t\t\tstd::cout<<\".\";\n\t\t\t\t} else if(val == 101){\n\t\t\t\t\tstd::cout<<\"R\";\n\t\t\t\t} else if(val == 102){\n\t\t\t\t\tstd::cout<<\"X\";\n\t\t\t\t} else if(val == 0){\n\t\t\t\t\tstd::cout<<\"0\";\n\t\t\t\t} else{\n\t\t\t\t\tstd::cout<<\" \";\n\t\t\t\t}\n\t\t\t}\n\t\t\tstd::cout<<\"|\"<<std::endl;\n\t\t}\n\t}\n}\n\nbool testPath(){\n\t//~ ROS_INFO(\"testing path\");\n\tint w = (int) ceil(ROBOT_WIDTH / resolution / 2);\n\tint h = (int) ceil(SAFE_DISTANCE / resolution );\n\tint index;\n\tint8_t value;\n\tbool pathClear = true;\n\t\n\tif(!valid_grid){\n\t\treturn true;\n\t}\n\tint8_t requestedCells[grid_height*grid_width] = {0};\n\t//~ printOccupancyGrid();\n\t//pirnt position of robot\n\tindex = getCellIndex(robot_x, robot_y);\n\t//~ if(index != -1){\n\t\t//~ ROS_INFO(\"index of robot %d\", index);\n\t\t//~ requestedCells[index] = 101;\n\t//~ } else {\n\t\t//~ ROS_INFO(\"robot not found ? R : %lf %lf G : %lf %lf res : %lf\", robot_x, robot_y, grid_x, grid_y, resolution);\n\t//~ }\n\tfor(int i = -w; i <= w ; i++){\n\t\t// width of robot\n\t\tfor(int j = 0; j < h ; j++){\n\t\t\tindex = getCellIndex(robot_x + i * hz_dx + j * vt_dx, robot_y + i * hz_dy + j * vt_dy);\n\t\t\tif(index != -1){\n\t\t\t\t//~ ROS_INFO(\"lindex %d\", index);\n\t\t\t\tvalue = grid.data[index];\n\t\t\t\trequestedCells[index] = 100;\n\t\t\t\t//~ ROS_INFO(\"value %d\", value);\n\t\t\t\tif(value > 60){\n\t\t\t\t\t//occupied cell\n\t\t\t\t\trequestedCells[index] = 102;\n\t\t\t\t\t//~ printGrid(requestedCells);\n\t\t\t\t\t//~ ROS_INFO(\"Found an occupied cell in coordinates %d;%d. Stopping.\", i, j);\n\t\t\t\t\tpathClear = false;\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tindex = getCellIndex(robot_x, robot_y);\n\tif(index != -1){\n\t\t//~ ROS_INFO(\"index of robot %d\", index);\n\t\trequestedCells[index] = 101;\n\t} else {\n\t\tROS_INFO(\"robot not found ? R : %lf %lf G : %lf %lf res : %lf\", robot_x, robot_y, grid_x, grid_y, resolution);\n\t}\n\tprintBothGrid(requestedCells);\n\treturn pathClear;\n}\n\nvoid generateDx(){\n\t//called to update grid of points to test\n\tvt_dx = cos(robot_yaw) * resolution;\n\tvt_dy = sin(robot_yaw) * resolution;\n\thz_dx = vt_dy;\n\thz_dy = - vt_dx;\n}\n\nint getCellIndex(double x, double y){\n\t//checkBounds\n\tif( x < grid_x || x > grid_x + grid_width * resolution || y < grid_y || y > grid_y + grid_height * resolution){\n\t\t//out of bounds\n\t\t\n\t\treturn -1;\n\t}\n\t//double dx = x - robot_x, dy = y - robot_y;\n\tdouble dx = x - grid_x, dy = y - grid_y;\n\tint ix = (int) floor(dx / resolution );\n\tint iy = (int) floor(dy / resolution );\n\tint index = iy * grid_width + ix;\n\treturn index;\n}\n\n\n//~ bool pathClear(){\n\t\n\t//~ return testPath();\n\t//~ }\n\nint main(int argc, char** argv){\n\tdouble robot_x, robot_y, robot_yaw;\n ros::init(argc, argv, \"titanic\");\n\n ros::NodeHandle node;\n ros::Rate loop_rate(10);\n \n chatter_pub = node.advertise<qg::ordreAmiral>(\"ordreDeLAmiral\", 1000);\n \n //declare le subscriber pour la grid\n ros::Subscriber grid_listener = node.subscribe(\"/rtabmap/grid_map\", 100, gridListener);\n\n tf::TransformListener listener;\n \n //definiiotn des parametres de la commande\n float_t command = 20;\n\t//~ #if defined(WIN32) && !defined(__MINGW32__)\n\t\t//~ sscanf_s(argv[1], \"%f\", &command);\n\t//~ #else\n\t\t//~ sscanf(argv[1], \"%f\", &command);\n\t//~ #endif\n\n\n float_t angle = 0;\n\t//~ #if defined(WIN32) && !defined(__MINGW32__)\n\t\t//~ sscanf_s(argv[2], \"%f\", &angle);\n\t//~ #else\n\t\t//~ sscanf(argv[2], \"%f\", &angle);\n\t//~ #endif\n\n\n msg = new qg::ordreAmiral();\n msg->header.seq = 0;\n\tmsg->header.frame_id = \"base_link\";\n\tmsg->header.stamp = ros::Time::now();\n\tordreSimple(0.0,0.0,0.5);\n\t\n\t\n\t\n\t\n\twhile(ros::ok()){\n\t\t//recuperation de la localistation du robot\n\t\ttf::StampedTransform transform;\n try{\n\t\t\tros::Time now = ros::Time::now();\n\t\t\tlistener.waitForTransform(\"/map\", \"/base_link\",\n now, ros::Duration(3.0));\n\t\t\t\n listener.lookupTransform(\"/map\", \"/base_link\",\n ros::Time(0), transform);\n }\n catch (tf::TransformException &ex) {\n ROS_ERROR(\"%s\",ex.what());\n ros::Duration(1.0).sleep();\n continue;\n }\n robot_x = transform.getOrigin().x();\n robot_y = transform.getOrigin().y();\n robot_yaw = tf::getYaw(transform.getRotation());\n generateDx();\n\n\t\t//~ ROS_INFO(\"%lf, %lf, %lf\", robot_x, robot_y, robot_yaw);\n\n\t\t//decision\n\t\tif(testPath()){\n\t\tordreSimple(command,angle,0.5);\n\t\t} else {\n\t\tordreSimple(0.0,0.0,0.5);\n\t\t}\n\t\t\n\t\t//~ ROS_INFO(\"launched orders\");\n\t\tros::spinOnce();\n\t\tloop_rate.sleep();\n\t\t\n\t\tif(ros::isShuttingDown()){\n\t\t\tROS_INFO(\"Detected shutdown request\");\n\t\t\tordreSimple(0.0,0.0,1);\n\t\t}\n\t}\n ROS_INFO(\"Detected shutdown request\");\n //terminaison\n\tordreSimple(0.0,0.0,1);\n\tros::shutdown();\n\n return 0;\n};\n"},{"alpha_fraction":0.5747368335723877,"alphanum_fraction":0.6007017493247986,"avg_line_length":14.322580337524414,"blob_id":"a6df217a7cfe3749161488938c984b403381b140","content_id":"e1ac223dca88054fde70b420ecfe25f9914aea64","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":1425,"license_type":"no_license","max_line_length":84,"num_lines":93,"path":"/src/testDeTimonier.cpp","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"#include \"ros/ros.h\"\n#include \"std_msgs/String.h\"\n#include \"qg/ordreAmiral.h\"\n\n#include <sstream>\n\n\nint main(int argc, char **argv)\n{\n\n ros::init(argc, argv, \"testDeTimonier\");\n\n\n ros::NodeHandle n;\n\n\n ros::Publisher chatter_pub = n.advertise<qg::ordreAmiral>(\"ordreDeLAmiral\", 1000);\n\n ros::Rate loop_rate(10);\n\n\tqg::ordreAmiral msg;\n int count = 0;\n while (ros::ok())\n {\n\t\tmsg.header.seq = 0;\n\t\t\n\t\tmsg.header.frame_id = \"test de l'amiral\";\n\n\t\tmsg.header.stamp = ros::Time::now();\n\n\t\tmsg.vitesse = 0;\n\t\tmsg.direction = 0;\n\t\t\n chatter_pub.publish(msg);\n\n\t\tros::Duration(3.0).sleep();\n\t\t\n\t\tmsg.header.stamp = ros::Time::now();\n\n\t\tmsg.vitesse = 18;\n\t\tmsg.direction = 50;\n\t\t\n chatter_pub.publish(msg);\n\n\t\tros::Duration(3.0).sleep();\n\n\n\t\tmsg.header.stamp = ros::Time::now();\n\n\t\tmsg.vitesse = -20;\n\t\tmsg.direction = 30;\n\t\t\n chatter_pub.publish(msg);\n\n\t\tros::Duration(4.).sleep();\n\t\t\n\t\tmsg.vitesse = 18;\n\t\tmsg.direction = 50;\n\t\t\n chatter_pub.publish(msg);\n\n\t\tros::Duration(3.0).sleep();\n\t\t\n\t\tmsg.header.stamp = ros::Time::now();\n\n\t\tmsg.vitesse = 0;\n\t\tmsg.direction = 0;\n\t\t\n chatter_pub.publish(msg);\n \n ros::Duration(.5).sleep();\n \n msg.header.stamp = ros::Time::now();\n\n\t\tmsg.vitesse = 0;\n\t\tmsg.direction = 0;\n\t\t\n chatter_pub.publish(msg);\n\t\t\n\t\tros::shutdown();\n\n }\n\tmsg.header.stamp = ros::Time::now();\n\n\tmsg.vitesse = 0;\n\tmsg.direction = 0;\n\t\t\n chatter_pub.publish(msg);\n\n\t\n\n return 0;\n}\n"},{"alpha_fraction":0.6756756901741028,"alphanum_fraction":0.6756756901741028,"avg_line_length":15.586206436157227,"blob_id":"187b44a569d0bddb05789c9559926e2bfce78054","content_id":"029361c37216466020bbbb6b6fe68f0f88add0f6","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":481,"license_type":"no_license","max_line_length":57,"num_lines":29,"path":"/src/command.h","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"#include <vector>\n#include <string>\n#include <cstdlib>\n\n\nusing std::vector;\nusing std::string;\n\nclass Command\n{\n public:\n int time;\n ros::Time stamp;\n string device;\n float value;\n float angle;\n\n private:\n void split(const string& s, char c, vector<string>& v);\n\n public:\n Command();\n Command(int gtime, string gdevice, float gvalue);\n Command(ros::Time gstamp, float gvalue, float gangle);\n Command(std::string command);\n \n bool operator<(Command const & b);\n \n};\n"},{"alpha_fraction":0.5812146663665771,"alphanum_fraction":0.6151130199432373,"avg_line_length":14.733333587646484,"blob_id":"c57428f3aaf3056d20d513021c25597d4f13ddb8","content_id":"fb0c92f75c65939feff8a44a7cc2b38cbfbc4386","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":1416,"license_type":"no_license","max_line_length":69,"num_lines":90,"path":"/src/amiralSimple.cpp","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"#include \"ros/ros.h\"\n#include \"std_msgs/String.h\"\n#include \"qg/ordreAmiral.h\"\n\n#include <sstream>\n\nqg::ordreAmiral* msg;\nros::Publisher chatter_pub;\n\nvoid ordreSimple(float motor, float direction, float temps){\n\tmsg->vitesse = motor;\n\tmsg->direction = direction;\n\tchatter_pub.publish(*msg);\n\t\n\tros::Duration(temps).sleep();\n\t\n\tmsg->vitesse = 0.0;\n\tmsg->direction = 0.0;\n\tchatter_pub.publish(*msg);\n\t\n\t\n\n}\n\n\nint main(int argc, char **argv)\n{\n\n ros::init(argc, argv, \"amiralSimple\");\n\n\n ros::NodeHandle n;\n\n\n chatter_pub = n.advertise<qg::ordreAmiral>(\"ordreDeLAmiral\", 1000);\n\n ros::Rate loop_rate(10);\n\n float_t command = 0;\n#if defined(WIN32) && !defined(__MINGW32__)\n sscanf_s(argv[1], \"%f\", &command);\n#else\n sscanf(argv[1], \"%f\", &command);\n#endif\n\n\n float_t angle = 0;\n#if defined(WIN32) && !defined(__MINGW32__)\n sscanf_s(argv[2], \"%f\", &angle);\n#else\n sscanf(argv[2], \"%f\", &angle);\n#endif\n\n float_t temps = 0;\n#if defined(WIN32) && !defined(__MINGW32__)\n sscanf_s(argv[3], \"%f\", &temps);\n#else\n sscanf(argv[3], \"%f\", &temps);\n#endif\n\n\n msg = new qg::ordreAmiral();\n \n msg->header.seq = 0;\n\t\t\n\tmsg->header.frame_id = \"base_link\";\n\n\tmsg->header.stamp = ros::Time::now();\n\t\n\t\n\t\n\twhile(ros::ok()){\n\t\t\n\t\t\n\t\tordreSimple(0.0,0.0,0.5);\n\t\n\t\tordreSimple(command,angle,temps);\n\t\tordreSimple(command,0.0,0.5);\n\t\tordreSimple(0.0,0.0,1);\n\t\t\n\t\tros::spinOnce();\n\t\tros::shutdown();\n\t\t\n\t}\n \n\n\t\n\n return 0;\n}\n"},{"alpha_fraction":0.6865594387054443,"alphanum_fraction":0.7231447696685791,"avg_line_length":24.523178100585938,"blob_id":"4a44aa750c0a7f9ac427b17193f4e3371737b49b","content_id":"be9fb180c7be83c3e6fd54397cf722153e3592c5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"C++","length_bytes":3854,"license_type":"no_license","max_line_length":96,"num_lines":151,"path":"/src/assistantTimonier.cpp","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"#include \"ros/ros.h\"\n#include \"command.h\"\n#include \"qg/servo_command.h\"\n#include \"qg/ordreAmiral.h\"\n#include <tf2_geometry_msgs/tf2_geometry_msgs.h>\n#include \"std_msgs/String.h\"\n#include \"std_msgs/Bool.h\"\n#include \"nav_msgs/Odometry.h\"\n#include <utility> \n#include <cmath>\n#include <tf2/LinearMath/Quaternion.h>\n\n#define MILLIS 1000\n\nusing std::vector;\nusing std::string;\nusing std::sort;\nusing std::reverse;\n\nros::Publisher commandRobotLocalization;\nros::Publisher orientationRobotLocalization;\n\nfloat motorCommand = 0.0;\nfloat motorCommandY = 0.0;\n\nfloat coef = 0.017;\nfloat coef2 = 0.0084;\nstd::pair<float,float> posActu; \nstd::pair<float,float> posAvant;\ntf2::Quaternion q;\n\nnav_msgs::Odometry msgCommand;\nnav_msgs::Odometry msgOrientation;\n\nfloat covarianceCommand = 0.0;\nfloat covarianceCommandY = 0.0;\nfloat covarianceOrientation = 0.0;\n\nvoid callBackVitesse(const qg::servo_command::ConstPtr& msg)\n{\n\tif(msg->device==\"motor\"){\n\t\tif(msg->value==0.0){\n\t\t\tmotorCommand = 0.0;\n\n\t\t\t//covarianceCommand = 0.00001; local\n\n\t\t\tmotorCommandY = 0.0;\n\t\t\tcovarianceCommand = 0.0001;\n\t\t\tcovarianceCommandY = 0.0001;\n\n\t\t}\n\t\telse if(msg->value >0.0){\n\t\t\tmotorCommand = coef * msg->value;\n\t\t\tcovarianceCommand = 0.07*0.07;\n\t\t\tcovarianceCommandY = 0.07*0.07;\n\t\t}\n\t\telse {\n\t\t\tmotorCommand = coef2 * msg->value;\n\t\t\tcovarianceCommand = 0.06*0.06;\n\t\t\tcovarianceCommandY = 0.06*0.06;\n\t\t}\n\t}\n}\n\nvoid callBackOrientation(const nav_msgs::Odometry::ConstPtr& msg)\n{\n\tposAvant = posActu;\n\tposActu = std::make_pair(msg->pose.pose.position.x,msg->pose.pose.position.y);\n\t\n\tfloat delta_x = posActu.first - posAvant.first;\n\tfloat delta_y = posActu.second - posAvant.second;\n\tfloat distance = sqrt(delta_x*delta_x+delta_y*delta_y);\n\t\n\tdelta_x/=distance;\n\tdelta_y/=distance;\n\t\n\tfloat theta = 0.0;\n\t\n\tif(delta_y>=0.0){\n\t\ttheta = acos(delta_x);\n\t}\n\telse{\n\t\ttheta = -acos(delta_x);\n\t}\n\t\n\tif(motorCommand<0){\n\t\ttheta += 3.1415296; \n\t}\n\n\tq.setRPY(0.0,0.0,theta);\n\tif(distance>0.0){\n\t\tcovarianceOrientation = 0.0005/distance;\n\t}\n}\n\n\n\nvoid send(const ros::TimerEvent&){\n\t\n\tmsgCommand.twist.twist.linear.x = motorCommand;\n\tmsgCommand.twist.twist.linear.y = motorCommandY;\n\tmsgCommand.twist.covariance[0]=covarianceCommand;\n\tmsgCommand.twist.covariance[7]=covarianceCommandY;\n\tmsgCommand.header.stamp = ros::Time::now();\n\t\n\tcommandRobotLocalization.publish(msgCommand);\n\t\n\t\n\tmsgOrientation.header.stamp = ros::Time::now();\n\tmsgOrientation.pose.pose.orientation.x = q.x();\n\tmsgOrientation.pose.pose.orientation.y = q.y();\n\tmsgOrientation.pose.pose.orientation.z = q.z();\n\tmsgOrientation.pose.pose.orientation.w = q.w();\n\tmsgOrientation.pose.covariance[35]=covarianceOrientation;\n\t\n\torientationRobotLocalization.publish(msgOrientation);\n\t\n}\n\nint main(int argc, char **argv)\n{\n ros::init(argc, argv, \"assistantTimonier\");\n ros::NodeHandle n;\n\n\tposActu = std::make_pair(0.0,0.0);\n\tposAvant = std::make_pair(0.0,0.0);\n\t\n\tros::Subscriber command_sub = n.subscribe(\"servo_command\", 1000, callBackVitesse);\n\tros::Subscriber orientation_sub = n.subscribe(\"/odometry/filtered\", 1000, callBackOrientation);\n\tcommandRobotLocalization = n.advertise<nav_msgs::Odometry>(\"odometry/command\",1000);\n\torientationRobotLocalization = n.advertise<nav_msgs::Odometry>(\"odometry/orientation\",1000);\n\t\n\tmsgCommand.header.frame_id = \"odom\";\n\tmsgCommand.child_frame_id = \"base_link\";\n\tmsgCommand.twist.twist.linear.x = motorCommand;\n\tmsgCommand.twist.twist.linear.y = motorCommandY;\n\tmsgCommand.twist.covariance[0]=covarianceCommand;\n\tmsgCommand.twist.covariance[7]=covarianceCommandY;\n\t\n\tmsgOrientation.header.frame_id = \"odom\";\n\tmsgOrientation.child_frame_id = \"base_link\";\n\tmsgOrientation.pose.pose.orientation.x = 0.0;\n\tmsgOrientation.pose.pose.orientation.y = 0.0;\n\tmsgOrientation.pose.covariance[0]=0.0;\n\t\n\t\n\tros::Timer publisher = n.createTimer(ros::Duration(0.1), send);\n \n\tros::spin();\n\treturn 0;\n}\n"},{"alpha_fraction":0.5043134689331055,"alphanum_fraction":0.5097052454948425,"avg_line_length":24.703702926635742,"blob_id":"75eacb4c53d464efdf55718e61ab5eba17901f1a","content_id":"84c79d11b632d37eb683bf58b77b96d3fe276efd","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2786,"license_type":"no_license","max_line_length":104,"num_lines":108,"path":"/script/tracer_points.py~","repo_name":"PSCX15/qg","src_encoding":"UTF-8","text":"# -*- coding: utf-8 -*-\n\n\nimport matplotlib.pyplot as plt\nimport matplotlib.axes as mpax\nimport numpy as np\n\n\nimport rospy\nfrom nav_msgs.msg import Odometry\nfrom geometry_msgs.msg import Point, Quaternion\n\n\n\ndef callback(data):\n rospy.loginfo(\"I heard %s\", data.data)\n\ndef tracer_points(nom_fichier):\n \n rospy.init_node('node_name', anonymous = True)\n\n rospy.Subscriber(\"/odometry/filtered_map\", Point, callback)\n \n # spin() simply keeps python from exiting until this node is stopped\n rospy.spin()\n \n \n file = open(nom_fichier + \".txt\",\"w\")\n \n x = []\n y = []\n \n while not rospy.is_shutdown():\n file.write(str(geometry_msg/Point.position.x) + \" \" + str(geometry_msg/Point.position.y) + \"\\n\")\n x.append(geometry_msg/Point.position.x)\n y.append(geometry_msg/Point.position.y)\n \n \n file.close()\n\n plt.scatter(x,y)\n\n plt.title('Nuage de points représentant la position du robot au cours du temps')\n plt.xlabel('Est')\n plt.ylabel('Nord')\n plt.savefig(nom_fichier + '.png')\n plt.show() \n \n \n \ndef tracer_tout(liste_nom_fichier):\n\n couleurs = ['b', 'r', 'g', 'c', 'm', 'y', 'k', 'purple', 'brown', 'gray']\n for i in range (len(liste_nom_fichier)): \n \n file = open(liste_nom_fichier[i],\"r\")\n \n X = []\n Y = []\n M = 0\n \n for line in file:\n x,y = \"\",\"\"\n sec_col = False\n for k in range(len(line)):\n if line[k] == \" \":\n sec_col = True\n else:\n if sec_col:\n y = y + line[k]\n else:\n x = x + line[k]\n \n X.append(float(x))\n Y.append(float(y))\n if np.sqrt(float(x)**2 + float(y)**2) > M:\n M = np.sqrt(float(x)**2 + float(y)**2)\n \n \n theta = np.linspace(0, 2*np.pi, 40)\n\n c = M*np.cos(theta)\n s = M*np.sin(theta)\n \n fig = plt.figure()\n ax = fig.add_subplot(1,1,1)\n ax.plot(c, s, c = couleurs[(k % len(couleurs))])\n plt.scatter(X,Y,c = couleurs[(k % len(couleurs))])\n ax.spines['left'].set_position('zero') # Propriétés des axes\n ax.spines['right'].set_color('none')\n ax.spines['bottom'].set_position('zero')\n ax.spines['top'].set_color('none')\n plt.axis(\"equal\")\n \n \n plt.title('Nuage de points représentant la position du robot au cours du temps')\n plt.xlabel('Est')\n plt.ylabel('Nord')\n plt.savefig('compilation_traces.png')\n #plt.show()\n \n#liste = [\"test1.txt\",\"test2.txt\"]\n#tracer_tout(liste)\n \n \n\nif(__name__ == '__main__'):\n tracer_points()\n \n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6625291109085083,\n \"alphanum_fraction\": 0.6801784038543701,\n \"avg_line_length\": 23.788461685180664,\n \"blob_id\": \"d4d14be0cda235adb47dc3145af6b94a6c62524b\",\n \"content_id\": \"4603d151e10dc71835be058a9ae4b38e980747ee\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 5158,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 208,\n \"path\": \"/src/timonier.cpp\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include \\\"ros/ros.h\\\"\\n//#include <algorithm>\\n#include \\\"command.h\\\"\\n#include \\\"qg/servo_command.h\\\"\\n#include \\\"qg/ordreAmiral.h\\\"\\n\\n#include \\\"std_msgs/String.h\\\"\\n#include \\\"std_msgs/Bool.h\\\"\\n\\n#define MILLIS 1000\\n\\nusing std::vector;\\nusing std::string;\\nusing std::sort;\\nusing std::reverse;\\n\\nros::Publisher command_pub;\\n//vector<Command*> commandList;\\n//vector<Command*> sentCommandList;\\nros::Time tstart;\\nCommand* currentCommand;\\n//Command* previousCommand;\\nCommand* askedCommand;\\nCommand* lastSentCommand;\\nstd::string id;\\nbool isReversing;\\n\\n// -----------------------------------partie autorisation emergency ------------------------\\n\\nbool autorisation = false;\\nros::Time lastbeat;\\n\\n\\nvoid heartbeat(const std_msgs::Bool::ConstPtr& msg){\\n\\tif(msg->data){lastbeat = ros::Time::now();}\\n}\\n\\nvoid testTimeOut(const ros::TimerEvent&){\\n\\tif(ros::Time::now()-lastbeat>=ros::Duration(2.0)){\\n\\t\\tautorisation = false;\\t\\n\\t\\tqg::servo_command motorCommand;\\n\\t\\tmotorCommand.device = \\\"motor\\\";\\n\\t\\tmotorCommand.value= 0.0;\\n\\t\\tlastSentCommand->value = 0.0;\\n\\t\\tcurrentCommand->value = 0.0;\\n\\t\\tcurrentCommand->angle = 0.0;\\n\\t\\tcommand_pub.publish(motorCommand);\\n\\t}\\n\\telse{\\n\\t\\tautorisation=true;\\n\\t}\\n}\\n\\n// -----------------------------------fin de cette partie -----------------------------------\\n\\n\\n\\n\\nvoid launchCommand(const ros::TimerEvent&){\\n\\tif(isReversing==true || !autorisation){return;}\\n\\telse{\\n\\t\\tqg::servo_command motorCommand;\\n\\t\\tmotorCommand.device = \\\"motor\\\";\\n\\t\\tqg::servo_command gearCommand;\\n\\t\\tgearCommand.device = \\\"vitesse\\\";\\n\\t\\tgearCommand.value = 2;\\n\\t\\tqg::servo_command directionCommand;\\n\\t\\tdirectionCommand.device = \\\"direction\\\";\\n\\t\\t\\n\\t\\tfloat Vprecedent = lastSentCommand->value;\\n\\t\\tfloat Vcible = currentCommand->value;\\n\\t\\t\\n\\t\\tdouble Vincrement = std::min((double)std::abs(Vprecedent-Vcible), 2.0);\\n\\t\\t\\n\\t\\tif(Vprecedent > Vcible){\\n\\t\\t\\tmotorCommand.value= Vprecedent - Vincrement;\\n\\t\\t}\\n\\t\\telse{\\n\\t\\t\\tmotorCommand.value= Vprecedent + Vincrement;\\n\\t\\t}\\n\\t\\t\\n\\t\\t\\n\\t\\tfloat Dprecedent = lastSentCommand->angle;\\n\\t\\tfloat Dcible = currentCommand->angle;\\n\\t\\t\\n\\t\\tdouble Dincrement = std::min((double)std::abs(Dprecedent-Dcible), 10.0);\\n\\t\\t\\n\\t\\tif(motorCommand.value < 10 && motorCommand.value > -25){\\n\\t\\t\\tdirectionCommand.value = Dprecedent;\\n\\t\\t}\\n\\t\\t\\n\\t\\telse if(Dprecedent > Dcible){\\n\\t\\t\\tdirectionCommand.value= Dprecedent - Dincrement;\\n\\t\\t}\\n\\t\\telse{\\n\\t\\t\\tdirectionCommand.value= Dprecedent + Dincrement;\\n\\t\\t}\\n\\t\\t\\n\\t\\tif(directionCommand.value == 10){\\n\\t\\t\\tdirectionCommand.value = 9;\\n\\t\\t}\\n\\t\\t\\n\\t\\tcommand_pub.publish(motorCommand);\\n\\t\\tcommand_pub.publish(directionCommand);\\n\\t\\t\\n\\t\\tlastSentCommand->value = motorCommand.value;\\n\\t\\tlastSentCommand->angle = directionCommand.value;\\n\\t\\tlastSentCommand->stamp = ros::Time::now();\\n\\t\\treturn;\\n\\t}\\n\\n}\\n\\nvoid reverse(){\\n\\tif(autorisation){\\n\\t\\tqg::servo_command servoCommand;\\n\\t\\t\\n\\t\\tROS_INFO(\\\"warning : reversing!\\\");\\n\\t\\t\\n\\t\\tservoCommand.device = \\\"motor\\\";\\n\\t\\t\\n\\t\\tservoCommand.value = 0;\\n \\tcommand_pub.publish(servoCommand);\\n \\tros::Duration(0.1).sleep();\\n \\tservoCommand.value = -5;\\n \\tcommand_pub.publish(servoCommand);\\n \\tros::Duration(0.1).sleep();\\n \\tservoCommand.value = -11.45;\\n \\tcommand_pub.publish(servoCommand);\\n \\tros::Duration(0.15).sleep();\\n \\tservoCommand.value = -11.5;\\n \\tcommand_pub.publish(servoCommand);\\n \\tros::Duration(0.15).sleep();\\n \\tservoCommand.value = -11.55;\\n \\tcommand_pub.publish(servoCommand);\\n \\tros::Duration(0.1).sleep();\\n//\\t servoCommand.value = -25;\\n//\\t command_pub.publish(servoCommand);\\n//\\t ros::Duration(0.5).sleep();\\n \\t\\n \\tROS_INFO(\\\"warning : reserving done !\\\");\\n \\t\\n \\tlastSentCommand->value = -15;\\n \\tlastSentCommand->stamp = ros::Time::now();\\n }\\n}\\n\\n\\nvoid enAvantToute(const qg::ordreAmiral::ConstPtr& msg)\\n{\\n\\tif(isReversing==true)return;\\n\\t\\n\\t//commandList.push_back(new Command(previousCommand->stamp,previousCommand->value,previousCommand->angle ));\\n\\t//previousCommand = currentCommand;\\n\\taskedCommand = new Command(msg->header.stamp, msg->vitesse , msg->direction);\\n\\t\\n\\tif ((lastSentCommand->value)*(askedCommand->value)>0){\\n\\t\\tcurrentCommand = askedCommand;\\n\\t}\\n\\telse{\\n\\t\\tif(askedCommand->value >= 0){\\n\\t\\t\\tcurrentCommand = askedCommand;\\n\\t\\t}\\n\\t\\telse{\\n\\t\\t\\t\\n\\t\\t\\tisReversing=true;\\n\\t\\t\\treverse();\\n\\t\\t\\tisReversing=false;\\n\\t\\t\\tcurrentCommand = askedCommand;\\t\\t\\t\\n\\t\\t}\\n\\t}\\n}\\n\\n\\n\\nint main(int argc, char **argv)\\n{\\n ros::init(argc, argv, \\\"timonier\\\");\\n ros::NodeHandle n;\\n\\n\\t//emergencyBreak on:\\n ros::Subscriber emergencyBond = n.subscribe(\\\"bondServo\\\",100,heartbeat);\\n ros::Publisher iAmAlive = n.advertise<std_msgs::String>(\\\"servoListenerIsAlive\\\",1000);\\n lastbeat = ros::Time::now();\\n\\n\\n\\n //déclare le publisher pour le topic servo_command\\n command_pub = n.advertise<qg::servo_command>(\\\"servo_command\\\", 1000);\\n \\n ros::Subscriber ordre = n.subscribe(\\\"ordreDeLAmiral\\\", 1000, enAvantToute);\\n isReversing=false;\\n tstart = ros::Time::now();\\n lastSentCommand = new Command(tstart,1,0);\\n currentCommand = new Command(tstart,1,0);\\n askedCommand = new Command(tstart,1,0);\\n ros::Rate loop_rate(10);\\n\\t\\n //lecture du tableau de paramètres\\n \\n ros::Timer timer = n.createTimer(ros::Duration(0.2), launchCommand);\\n ros::Timer heartbeat = n.createTimer(ros::Duration(0.2), testTimeOut);\\n \\n //ros::Subscriber sub = n.subscribe(\\\"servo_command\\\", 100, interpretCommand);\\n ros::spin();\\n\\n return 0;\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5916179418563843,\n \"alphanum_fraction\": 0.5974658727645874,\n \"avg_line_length\": 18,\n \"blob_id\": \"7826ecdd13074565d9eafb141a43bb50d60b667c\",\n \"content_id\": \"7e81f970f0d00ea05707c2dd91beffbeb0750d86\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 1026,\n \"license_type\": \"no_license\",\n \"max_line_length\": 63,\n \"num_lines\": 54,\n \"path\": \"/src/command.cpp\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include \\\"ros/ros.h\\\"\\n#include \\\"command.h\\\"\\n\\n\\nusing std::vector;\\nusing std::string;\\n\\nCommand::Command(){\\n this->time = 0;\\n this->device = \\\"\\\";\\n this->value = 0;\\n}\\n\\nCommand::Command(int gtime, string gdevice, float gvalue){\\n this->time = gtime;\\n this->device = gdevice;\\n this->value = gvalue;\\n}\\n\\nCommand::Command(ros::Time gstamp, float gvalue, float gangle){\\n this->stamp = gstamp;\\n this->value = gvalue;\\n this->angle = gangle;\\n}\\n\\n\\nCommand::Command(string command)\\n{\\n vector<string> res;\\n split(command, ' ', res);\\n this->time = atoi(res[0].c_str());\\n this->device = res[1];\\n this->value = atof(res[2].c_str());\\n}\\n\\nbool Command::operator<(Command const & b)\\n{\\n return this->time < b.time;\\n}\\n\\nvoid Command::split(const string& s, char c, vector<string>& v)\\n{\\n string::size_type i = 0;\\n string::size_type j = s.find(c);\\n\\n while (j != string::npos) {\\n v.push_back(s.substr(i, j-i));\\n i = ++j;\\n j = s.find(c, j);\\n\\n if (j == string::npos)\\n v.push_back(s.substr(i, s.length()));\\n }\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5611705183982849,\n \"alphanum_fraction\": 0.5789991617202759,\n \"avg_line_length\": 24.575471878051758,\n \"blob_id\": \"df9d89bcbc7b863f4eb4ec23c047aaecce2c9d49\",\n \"content_id\": \"6457a5ba3f727366602be95d7b99ab6ad1077de4\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 8133,\n \"license_type\": \"no_license\",\n \"max_line_length\": 193,\n \"num_lines\": 318,\n \"path\": \"/src/amiralTitanic.cpp\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"//~ #include <ros/ros.h>\\n#include \\\"ros/ros.h\\\"\\n//~ #include \\\"std_msgs/String.h\\\"\\n#include \\\"qg/ordreAmiral.h\\\"\\n\\n//~ #include <sstream>\\n#include <cmath>\\n\\n#include <tf/transform_listener.h>\\n//#include <occupancy_grid_utils/exceptions.h>\\n#include <nav_msgs/MapMetaData.h>\\n#include <nav_msgs/OccupancyGrid.h>\\n\\n#define ROBOT_WIDTH 0.40\\n#define SAFE_DISTANCE 0.5\\n\\nqg::ordreAmiral* msg;\\n\\nnav_msgs::OccupancyGrid grid;\\nnav_msgs::MapMetaData meta;\\n\\n\\nros::Publisher chatter_pub;\\nros::Subscriber rtab_listener;\\ndouble robot_x, robot_y, robot_yaw, hz_dx, hz_dy, vt_dx, vt_dy;\\ndouble resolution, grid_x, grid_y;\\nint grid_height, grid_width;\\nbool valid_grid;\\nbool needDisplay;\\n\\nint getCellIndex(double x, double y);\\nvoid gridListener(const nav_msgs::OccupancyGrid& msg);\\nvoid ordreSimple(float motor, float direction, float temps);\\nbool testPath();\\nvoid generateDx();\\n\\nvoid gridListener(const nav_msgs::OccupancyGrid& msg)\\n{\\n\\tgrid = msg;\\n\\tmeta = grid.info;\\n\\tgrid_x = meta.origin.position.x;\\n\\tgrid_y = meta.origin.position.y;\\n\\tresolution = meta.resolution;\\n\\tgrid_height = meta.height;\\n\\tgrid_width = meta.width;\\n\\t//~ ROS_INFO(\\\"Updated map . Now %d %d\\\", grid_height, grid_width);\\n\\t//~ std::cout << getCellIndex(grid_x , grid_y) << \\\":\\\" << getCellIndex(grid_x + resolution, grid_y) << \\\":\\\" << getCellIndex(grid_x, grid_y + resolution) <<std::endl;\\n\\t//~ std::cout << getCellIndex(grid_x + resolution, grid_y + resolution) << \\\":\\\" << getCellIndex(grid_x + 2*resolution, grid_y) << \\\":\\\" << getCellIndex(grid_x, grid_y + 2*resolution) <<std::endl;\\n\\tvalid_grid = true;\\n\\tneedDisplay = true;\\n}\\n\\nvoid ordreSimple(float motor, float direction, float temps){\\n\\tmsg->vitesse = motor;\\n\\tmsg->direction = direction;\\n\\tchatter_pub.publish(*msg);\\n\\t\\n\\tros::Duration(temps).sleep();\\n\\t\\n\\tmsg->vitesse = 0.0;\\n\\tmsg->direction = 0.0;\\n\\tchatter_pub.publish(*msg);\\n\\n}\\n\\nvoid printGrid(int8_t pgrid[]){\\n\\tif(needDisplay){\\n\\t\\tstd::cout<< \\\"Printing Grid \\\"<< grid_height << \\\"x\\\" << grid_width << \\\" \\\" << grid_x << \\\";\\\" << grid_y << \\\"/\\\" << resolution << std::endl ;\\n\\t\\tint8_t val;\\n\\t\\tfor(int j = 0; j < grid_height ; j++){\\n\\t\\t\\tfor(int i = 0 ; i < grid_width ; i++){\\n\\t\\t\\t\\tval = pgrid[ i + (grid_height - j -1)* grid_width];\\n\\t\\t\\t\\tif(val == 100){\\n\\t\\t\\t\\t\\tstd::cout<<\\\".\\\";\\n\\t\\t\\t\\t} else if(val == 101){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"R\\\";\\n\\t\\t\\t\\t} else if(val == 102){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"X\\\";\\n\\t\\t\\t\\t} else{\\n\\t\\t\\t\\t\\tstd::cout<<\\\" \\\";\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tstd::cout<<\\\"|\\\"<<std::endl;\\n\\t\\t\\tneedDisplay = false;\\n\\t\\t}\\n\\t}\\n}\\n\\nvoid printBothGrid(int8_t pgrid[]){\\n\\tif(needDisplay){\\n\\t\\tstd::cout<< \\\"Printing Grid \\\"<< grid_height << \\\"x\\\" << grid_width << \\\" \\\" << grid_x << \\\";\\\" << grid_y << \\\"/\\\" << resolution << std::endl ;\\n\\t\\tint8_t val;\\n\\t\\tfor(int j = 0; j < grid_height ; j++){\\n\\t\\t\\tfor(int i = 0 ; i < grid_width ; i++){\\n\\t\\t\\t\\tval = pgrid[ i + (grid_height - j -1)* grid_width];\\n\\t\\t\\t\\tif(val == 100){\\n\\t\\t\\t\\t\\tstd::cout<<\\\".\\\";\\n\\t\\t\\t\\t} else if(val == 101){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"R\\\";\\n\\t\\t\\t\\t} else if(val == 102){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"X\\\";\\n\\t\\t\\t\\t} else{\\n\\t\\t\\t\\t\\tstd::cout<<\\\" \\\";\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tstd::cout<<\\\" | \\\";\\n\\t\\t\\tfor(int i = 0 ; i < grid_width ; i++){\\n\\t\\t\\t\\tval = grid.data[ i + (grid_height - j -1)* grid_width];\\n\\t\\t\\t\\tif(val == 100){\\n\\t\\t\\t\\t\\tstd::cout<<\\\".\\\";\\n\\t\\t\\t\\t} else if(val == 101){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"R\\\";\\n\\t\\t\\t\\t} else if(val == 102){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"X\\\";\\n\\t\\t\\t\\t} else if(val == 0){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"0\\\";\\n\\t\\t\\t\\t} else{\\n\\t\\t\\t\\t\\tstd::cout<<\\\" \\\";\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tstd::cout << \\\"|\\\" << std::endl\\n\\t\\t}\\n\\t\\tneedDisplay = false;\\n\\t\\t\\n\\t}\\n}\\n\\nvoid printOccupancyGrid(){\\n\\tif(needDisplay){\\n\\t\\tstd::cout<< \\\"Printing OccupancyGrid \\\"<< std::endl;\\n\\t\\tint8_t val;\\n\\t\\tfor(int j = 0; j < grid_height ; j++){\\n\\t\\t\\tfor(int i = 0 ; i < grid_width ; i++){\\n\\t\\t\\t\\tval = grid.data[ i + (grid_height - j -1)* grid_width];\\n\\t\\t\\t\\tif(val == 100){\\n\\t\\t\\t\\t\\tstd::cout<<\\\".\\\";\\n\\t\\t\\t\\t} else if(val == 101){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"R\\\";\\n\\t\\t\\t\\t} else if(val == 102){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"X\\\";\\n\\t\\t\\t\\t} else if(val == 0){\\n\\t\\t\\t\\t\\tstd::cout<<\\\"0\\\";\\n\\t\\t\\t\\t} else{\\n\\t\\t\\t\\t\\tstd::cout<<\\\" \\\";\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t\\tstd::cout<<\\\"|\\\"<<std::endl;\\n\\t\\t}\\n\\t}\\n}\\n\\nbool testPath(){\\n\\t//~ ROS_INFO(\\\"testing path\\\");\\n\\tint w = (int) ceil(ROBOT_WIDTH / resolution / 2);\\n\\tint h = (int) ceil(SAFE_DISTANCE / resolution );\\n\\tint index;\\n\\tint8_t value;\\n\\tbool pathClear = true;\\n\\t\\n\\tif(!valid_grid){\\n\\t\\treturn true;\\n\\t}\\n\\tint8_t requestedCells[grid_height*grid_width] = {0};\\n\\t//~ printOccupancyGrid();\\n\\t//pirnt position of robot\\n\\tindex = getCellIndex(robot_x, robot_y);\\n\\t//~ if(index != -1){\\n\\t\\t//~ ROS_INFO(\\\"index of robot %d\\\", index);\\n\\t\\t//~ requestedCells[index] = 101;\\n\\t//~ } else {\\n\\t\\t//~ ROS_INFO(\\\"robot not found ? R : %lf %lf G : %lf %lf res : %lf\\\", robot_x, robot_y, grid_x, grid_y, resolution);\\n\\t//~ }\\n\\tfor(int i = -w; i <= w ; i++){\\n\\t\\t// width of robot\\n\\t\\tfor(int j = 0; j < h ; j++){\\n\\t\\t\\tindex = getCellIndex(robot_x + i * hz_dx + j * vt_dx, robot_y + i * hz_dy + j * vt_dy);\\n\\t\\t\\tif(index != -1){\\n\\t\\t\\t\\t//~ ROS_INFO(\\\"lindex %d\\\", index);\\n\\t\\t\\t\\tvalue = grid.data[index];\\n\\t\\t\\t\\trequestedCells[index] = 100;\\n\\t\\t\\t\\t//~ ROS_INFO(\\\"value %d\\\", value);\\n\\t\\t\\t\\tif(value > 60){\\n\\t\\t\\t\\t\\t//occupied cell\\n\\t\\t\\t\\t\\trequestedCells[index] = 102;\\n\\t\\t\\t\\t\\t//~ printGrid(requestedCells);\\n\\t\\t\\t\\t\\t//~ ROS_INFO(\\\"Found an occupied cell in coordinates %d;%d. Stopping.\\\", i, j);\\n\\t\\t\\t\\t\\tpathClear = false;\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t}\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\tindex = getCellIndex(robot_x, robot_y);\\n\\tif(index != -1){\\n\\t\\t//~ ROS_INFO(\\\"index of robot %d\\\", index);\\n\\t\\trequestedCells[index] = 101;\\n\\t} else {\\n\\t\\tROS_INFO(\\\"robot not found ? R : %lf %lf G : %lf %lf res : %lf\\\", robot_x, robot_y, grid_x, grid_y, resolution);\\n\\t}\\n\\tprintBothGrid(requestedCells);\\n\\treturn pathClear;\\n}\\n\\nvoid generateDx(){\\n\\t//called to update grid of points to test\\n\\tvt_dx = cos(robot_yaw) * resolution;\\n\\tvt_dy = sin(robot_yaw) * resolution;\\n\\thz_dx = vt_dy;\\n\\thz_dy = - vt_dx;\\n}\\n\\nint getCellIndex(double x, double y){\\n\\t//checkBounds\\n\\tif( x < grid_x || x > grid_x + grid_width * resolution || y < grid_y || y > grid_y + grid_height * resolution){\\n\\t\\t//out of bounds\\n\\t\\t\\n\\t\\treturn -1;\\n\\t}\\n\\t//double dx = x - robot_x, dy = y - robot_y;\\n\\tdouble dx = x - grid_x, dy = y - grid_y;\\n\\tint ix = (int) floor(dx / resolution );\\n\\tint iy = (int) floor(dy / resolution );\\n\\tint index = iy * grid_width + ix;\\n\\treturn index;\\n}\\n\\n\\n//~ bool pathClear(){\\n\\t\\n\\t//~ return testPath();\\n\\t//~ }\\n\\nint main(int argc, char** argv){\\n\\tdouble robot_x, robot_y, robot_yaw;\\n ros::init(argc, argv, \\\"titanic\\\");\\n\\n ros::NodeHandle node;\\n ros::Rate loop_rate(10);\\n \\n chatter_pub = node.advertise<qg::ordreAmiral>(\\\"ordreDeLAmiral\\\", 1000);\\n \\n //declare le subscriber pour la grid\\n ros::Subscriber grid_listener = node.subscribe(\\\"/rtabmap/grid_map\\\", 100, gridListener);\\n\\n tf::TransformListener listener;\\n \\n //definiiotn des parametres de la commande\\n float_t command = 20;\\n\\t//~ #if defined(WIN32) && !defined(__MINGW32__)\\n\\t\\t//~ sscanf_s(argv[1], \\\"%f\\\", &command);\\n\\t//~ #else\\n\\t\\t//~ sscanf(argv[1], \\\"%f\\\", &command);\\n\\t//~ #endif\\n\\n\\n float_t angle = 0;\\n\\t//~ #if defined(WIN32) && !defined(__MINGW32__)\\n\\t\\t//~ sscanf_s(argv[2], \\\"%f\\\", &angle);\\n\\t//~ #else\\n\\t\\t//~ sscanf(argv[2], \\\"%f\\\", &angle);\\n\\t//~ #endif\\n\\n\\n msg = new qg::ordreAmiral();\\n msg->header.seq = 0;\\n\\tmsg->header.frame_id = \\\"base_link\\\";\\n\\tmsg->header.stamp = ros::Time::now();\\n\\tordreSimple(0.0,0.0,0.5);\\n\\t\\n\\t\\n\\t\\n\\t\\n\\twhile(ros::ok()){\\n\\t\\t//recuperation de la localistation du robot\\n\\t\\ttf::StampedTransform transform;\\n try{\\n\\t\\t\\tros::Time now = ros::Time::now();\\n\\t\\t\\tlistener.waitForTransform(\\\"/map\\\", \\\"/base_link\\\",\\n now, ros::Duration(3.0));\\n\\t\\t\\t\\n listener.lookupTransform(\\\"/map\\\", \\\"/base_link\\\",\\n ros::Time(0), transform);\\n }\\n catch (tf::TransformException &ex) {\\n ROS_ERROR(\\\"%s\\\",ex.what());\\n ros::Duration(1.0).sleep();\\n continue;\\n }\\n robot_x = transform.getOrigin().x();\\n robot_y = transform.getOrigin().y();\\n robot_yaw = tf::getYaw(transform.getRotation());\\n generateDx();\\n\\n\\t\\t//~ ROS_INFO(\\\"%lf, %lf, %lf\\\", robot_x, robot_y, robot_yaw);\\n\\n\\t\\t//decision\\n\\t\\tif(testPath()){\\n\\t\\tordreSimple(command,angle,0.5);\\n\\t\\t} else {\\n\\t\\tordreSimple(0.0,0.0,0.5);\\n\\t\\t}\\n\\t\\t\\n\\t\\t//~ ROS_INFO(\\\"launched orders\\\");\\n\\t\\tros::spinOnce();\\n\\t\\tloop_rate.sleep();\\n\\t\\t\\n\\t\\tif(ros::isShuttingDown()){\\n\\t\\t\\tROS_INFO(\\\"Detected shutdown request\\\");\\n\\t\\t\\tordreSimple(0.0,0.0,1);\\n\\t\\t}\\n\\t}\\n ROS_INFO(\\\"Detected shutdown request\\\");\\n //terminaison\\n\\tordreSimple(0.0,0.0,1);\\n\\tros::shutdown();\\n\\n return 0;\\n};\\n\"\n },\n {\n \"alpha_fraction\": 0.5747368335723877,\n \"alphanum_fraction\": 0.6007017493247986,\n \"avg_line_length\": 14.322580337524414,\n \"blob_id\": \"a6df217a7cfe3749161488938c984b403381b140\",\n \"content_id\": \"e1ac223dca88054fde70b420ecfe25f9914aea64\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 1425,\n \"license_type\": \"no_license\",\n \"max_line_length\": 84,\n \"num_lines\": 93,\n \"path\": \"/src/testDeTimonier.cpp\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include \\\"ros/ros.h\\\"\\n#include \\\"std_msgs/String.h\\\"\\n#include \\\"qg/ordreAmiral.h\\\"\\n\\n#include <sstream>\\n\\n\\nint main(int argc, char **argv)\\n{\\n\\n ros::init(argc, argv, \\\"testDeTimonier\\\");\\n\\n\\n ros::NodeHandle n;\\n\\n\\n ros::Publisher chatter_pub = n.advertise<qg::ordreAmiral>(\\\"ordreDeLAmiral\\\", 1000);\\n\\n ros::Rate loop_rate(10);\\n\\n\\tqg::ordreAmiral msg;\\n int count = 0;\\n while (ros::ok())\\n {\\n\\t\\tmsg.header.seq = 0;\\n\\t\\t\\n\\t\\tmsg.header.frame_id = \\\"test de l'amiral\\\";\\n\\n\\t\\tmsg.header.stamp = ros::Time::now();\\n\\n\\t\\tmsg.vitesse = 0;\\n\\t\\tmsg.direction = 0;\\n\\t\\t\\n chatter_pub.publish(msg);\\n\\n\\t\\tros::Duration(3.0).sleep();\\n\\t\\t\\n\\t\\tmsg.header.stamp = ros::Time::now();\\n\\n\\t\\tmsg.vitesse = 18;\\n\\t\\tmsg.direction = 50;\\n\\t\\t\\n chatter_pub.publish(msg);\\n\\n\\t\\tros::Duration(3.0).sleep();\\n\\n\\n\\t\\tmsg.header.stamp = ros::Time::now();\\n\\n\\t\\tmsg.vitesse = -20;\\n\\t\\tmsg.direction = 30;\\n\\t\\t\\n chatter_pub.publish(msg);\\n\\n\\t\\tros::Duration(4.).sleep();\\n\\t\\t\\n\\t\\tmsg.vitesse = 18;\\n\\t\\tmsg.direction = 50;\\n\\t\\t\\n chatter_pub.publish(msg);\\n\\n\\t\\tros::Duration(3.0).sleep();\\n\\t\\t\\n\\t\\tmsg.header.stamp = ros::Time::now();\\n\\n\\t\\tmsg.vitesse = 0;\\n\\t\\tmsg.direction = 0;\\n\\t\\t\\n chatter_pub.publish(msg);\\n \\n ros::Duration(.5).sleep();\\n \\n msg.header.stamp = ros::Time::now();\\n\\n\\t\\tmsg.vitesse = 0;\\n\\t\\tmsg.direction = 0;\\n\\t\\t\\n chatter_pub.publish(msg);\\n\\t\\t\\n\\t\\tros::shutdown();\\n\\n }\\n\\tmsg.header.stamp = ros::Time::now();\\n\\n\\tmsg.vitesse = 0;\\n\\tmsg.direction = 0;\\n\\t\\t\\n chatter_pub.publish(msg);\\n\\n\\t\\n\\n return 0;\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6756756901741028,\n \"alphanum_fraction\": 0.6756756901741028,\n \"avg_line_length\": 15.586206436157227,\n \"blob_id\": \"187b44a569d0bddb05789c9559926e2bfce78054\",\n \"content_id\": \"029361c37216466020bbbb6b6fe68f0f88add0f6\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 481,\n \"license_type\": \"no_license\",\n \"max_line_length\": 57,\n \"num_lines\": 29,\n \"path\": \"/src/command.h\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include <vector>\\n#include <string>\\n#include <cstdlib>\\n\\n\\nusing std::vector;\\nusing std::string;\\n\\nclass Command\\n{\\n public:\\n int time;\\n ros::Time stamp;\\n string device;\\n float value;\\n float angle;\\n\\n private:\\n void split(const string& s, char c, vector<string>& v);\\n\\n public:\\n Command();\\n Command(int gtime, string gdevice, float gvalue);\\n Command(ros::Time gstamp, float gvalue, float gangle);\\n Command(std::string command);\\n \\n bool operator<(Command const & b);\\n \\n};\\n\"\n },\n {\n \"alpha_fraction\": 0.5812146663665771,\n \"alphanum_fraction\": 0.6151130199432373,\n \"avg_line_length\": 14.733333587646484,\n \"blob_id\": \"c57428f3aaf3056d20d513021c25597d4f13ddb8\",\n \"content_id\": \"fb0c92f75c65939feff8a44a7cc2b38cbfbc4386\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 1416,\n \"license_type\": \"no_license\",\n \"max_line_length\": 69,\n \"num_lines\": 90,\n \"path\": \"/src/amiralSimple.cpp\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include \\\"ros/ros.h\\\"\\n#include \\\"std_msgs/String.h\\\"\\n#include \\\"qg/ordreAmiral.h\\\"\\n\\n#include <sstream>\\n\\nqg::ordreAmiral* msg;\\nros::Publisher chatter_pub;\\n\\nvoid ordreSimple(float motor, float direction, float temps){\\n\\tmsg->vitesse = motor;\\n\\tmsg->direction = direction;\\n\\tchatter_pub.publish(*msg);\\n\\t\\n\\tros::Duration(temps).sleep();\\n\\t\\n\\tmsg->vitesse = 0.0;\\n\\tmsg->direction = 0.0;\\n\\tchatter_pub.publish(*msg);\\n\\t\\n\\t\\n\\n}\\n\\n\\nint main(int argc, char **argv)\\n{\\n\\n ros::init(argc, argv, \\\"amiralSimple\\\");\\n\\n\\n ros::NodeHandle n;\\n\\n\\n chatter_pub = n.advertise<qg::ordreAmiral>(\\\"ordreDeLAmiral\\\", 1000);\\n\\n ros::Rate loop_rate(10);\\n\\n float_t command = 0;\\n#if defined(WIN32) && !defined(__MINGW32__)\\n sscanf_s(argv[1], \\\"%f\\\", &command);\\n#else\\n sscanf(argv[1], \\\"%f\\\", &command);\\n#endif\\n\\n\\n float_t angle = 0;\\n#if defined(WIN32) && !defined(__MINGW32__)\\n sscanf_s(argv[2], \\\"%f\\\", &angle);\\n#else\\n sscanf(argv[2], \\\"%f\\\", &angle);\\n#endif\\n\\n float_t temps = 0;\\n#if defined(WIN32) && !defined(__MINGW32__)\\n sscanf_s(argv[3], \\\"%f\\\", &temps);\\n#else\\n sscanf(argv[3], \\\"%f\\\", &temps);\\n#endif\\n\\n\\n msg = new qg::ordreAmiral();\\n \\n msg->header.seq = 0;\\n\\t\\t\\n\\tmsg->header.frame_id = \\\"base_link\\\";\\n\\n\\tmsg->header.stamp = ros::Time::now();\\n\\t\\n\\t\\n\\t\\n\\twhile(ros::ok()){\\n\\t\\t\\n\\t\\t\\n\\t\\tordreSimple(0.0,0.0,0.5);\\n\\t\\n\\t\\tordreSimple(command,angle,temps);\\n\\t\\tordreSimple(command,0.0,0.5);\\n\\t\\tordreSimple(0.0,0.0,1);\\n\\t\\t\\n\\t\\tros::spinOnce();\\n\\t\\tros::shutdown();\\n\\t\\t\\n\\t}\\n \\n\\n\\t\\n\\n return 0;\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.6865594387054443,\n \"alphanum_fraction\": 0.7231447696685791,\n \"avg_line_length\": 24.523178100585938,\n \"blob_id\": \"4a44aa750c0a7f9ac427b17193f4e3371737b49b\",\n \"content_id\": \"be9fb180c7be83c3e6fd54397cf722153e3592c5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"C++\",\n \"length_bytes\": 3854,\n \"license_type\": \"no_license\",\n \"max_line_length\": 96,\n \"num_lines\": 151,\n \"path\": \"/src/assistantTimonier.cpp\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#include \\\"ros/ros.h\\\"\\n#include \\\"command.h\\\"\\n#include \\\"qg/servo_command.h\\\"\\n#include \\\"qg/ordreAmiral.h\\\"\\n#include <tf2_geometry_msgs/tf2_geometry_msgs.h>\\n#include \\\"std_msgs/String.h\\\"\\n#include \\\"std_msgs/Bool.h\\\"\\n#include \\\"nav_msgs/Odometry.h\\\"\\n#include <utility> \\n#include <cmath>\\n#include <tf2/LinearMath/Quaternion.h>\\n\\n#define MILLIS 1000\\n\\nusing std::vector;\\nusing std::string;\\nusing std::sort;\\nusing std::reverse;\\n\\nros::Publisher commandRobotLocalization;\\nros::Publisher orientationRobotLocalization;\\n\\nfloat motorCommand = 0.0;\\nfloat motorCommandY = 0.0;\\n\\nfloat coef = 0.017;\\nfloat coef2 = 0.0084;\\nstd::pair<float,float> posActu; \\nstd::pair<float,float> posAvant;\\ntf2::Quaternion q;\\n\\nnav_msgs::Odometry msgCommand;\\nnav_msgs::Odometry msgOrientation;\\n\\nfloat covarianceCommand = 0.0;\\nfloat covarianceCommandY = 0.0;\\nfloat covarianceOrientation = 0.0;\\n\\nvoid callBackVitesse(const qg::servo_command::ConstPtr& msg)\\n{\\n\\tif(msg->device==\\\"motor\\\"){\\n\\t\\tif(msg->value==0.0){\\n\\t\\t\\tmotorCommand = 0.0;\\n\\n\\t\\t\\t//covarianceCommand = 0.00001; local\\n\\n\\t\\t\\tmotorCommandY = 0.0;\\n\\t\\t\\tcovarianceCommand = 0.0001;\\n\\t\\t\\tcovarianceCommandY = 0.0001;\\n\\n\\t\\t}\\n\\t\\telse if(msg->value >0.0){\\n\\t\\t\\tmotorCommand = coef * msg->value;\\n\\t\\t\\tcovarianceCommand = 0.07*0.07;\\n\\t\\t\\tcovarianceCommandY = 0.07*0.07;\\n\\t\\t}\\n\\t\\telse {\\n\\t\\t\\tmotorCommand = coef2 * msg->value;\\n\\t\\t\\tcovarianceCommand = 0.06*0.06;\\n\\t\\t\\tcovarianceCommandY = 0.06*0.06;\\n\\t\\t}\\n\\t}\\n}\\n\\nvoid callBackOrientation(const nav_msgs::Odometry::ConstPtr& msg)\\n{\\n\\tposAvant = posActu;\\n\\tposActu = std::make_pair(msg->pose.pose.position.x,msg->pose.pose.position.y);\\n\\t\\n\\tfloat delta_x = posActu.first - posAvant.first;\\n\\tfloat delta_y = posActu.second - posAvant.second;\\n\\tfloat distance = sqrt(delta_x*delta_x+delta_y*delta_y);\\n\\t\\n\\tdelta_x/=distance;\\n\\tdelta_y/=distance;\\n\\t\\n\\tfloat theta = 0.0;\\n\\t\\n\\tif(delta_y>=0.0){\\n\\t\\ttheta = acos(delta_x);\\n\\t}\\n\\telse{\\n\\t\\ttheta = -acos(delta_x);\\n\\t}\\n\\t\\n\\tif(motorCommand<0){\\n\\t\\ttheta += 3.1415296; \\n\\t}\\n\\n\\tq.setRPY(0.0,0.0,theta);\\n\\tif(distance>0.0){\\n\\t\\tcovarianceOrientation = 0.0005/distance;\\n\\t}\\n}\\n\\n\\n\\nvoid send(const ros::TimerEvent&){\\n\\t\\n\\tmsgCommand.twist.twist.linear.x = motorCommand;\\n\\tmsgCommand.twist.twist.linear.y = motorCommandY;\\n\\tmsgCommand.twist.covariance[0]=covarianceCommand;\\n\\tmsgCommand.twist.covariance[7]=covarianceCommandY;\\n\\tmsgCommand.header.stamp = ros::Time::now();\\n\\t\\n\\tcommandRobotLocalization.publish(msgCommand);\\n\\t\\n\\t\\n\\tmsgOrientation.header.stamp = ros::Time::now();\\n\\tmsgOrientation.pose.pose.orientation.x = q.x();\\n\\tmsgOrientation.pose.pose.orientation.y = q.y();\\n\\tmsgOrientation.pose.pose.orientation.z = q.z();\\n\\tmsgOrientation.pose.pose.orientation.w = q.w();\\n\\tmsgOrientation.pose.covariance[35]=covarianceOrientation;\\n\\t\\n\\torientationRobotLocalization.publish(msgOrientation);\\n\\t\\n}\\n\\nint main(int argc, char **argv)\\n{\\n ros::init(argc, argv, \\\"assistantTimonier\\\");\\n ros::NodeHandle n;\\n\\n\\tposActu = std::make_pair(0.0,0.0);\\n\\tposAvant = std::make_pair(0.0,0.0);\\n\\t\\n\\tros::Subscriber command_sub = n.subscribe(\\\"servo_command\\\", 1000, callBackVitesse);\\n\\tros::Subscriber orientation_sub = n.subscribe(\\\"/odometry/filtered\\\", 1000, callBackOrientation);\\n\\tcommandRobotLocalization = n.advertise<nav_msgs::Odometry>(\\\"odometry/command\\\",1000);\\n\\torientationRobotLocalization = n.advertise<nav_msgs::Odometry>(\\\"odometry/orientation\\\",1000);\\n\\t\\n\\tmsgCommand.header.frame_id = \\\"odom\\\";\\n\\tmsgCommand.child_frame_id = \\\"base_link\\\";\\n\\tmsgCommand.twist.twist.linear.x = motorCommand;\\n\\tmsgCommand.twist.twist.linear.y = motorCommandY;\\n\\tmsgCommand.twist.covariance[0]=covarianceCommand;\\n\\tmsgCommand.twist.covariance[7]=covarianceCommandY;\\n\\t\\n\\tmsgOrientation.header.frame_id = \\\"odom\\\";\\n\\tmsgOrientation.child_frame_id = \\\"base_link\\\";\\n\\tmsgOrientation.pose.pose.orientation.x = 0.0;\\n\\tmsgOrientation.pose.pose.orientation.y = 0.0;\\n\\tmsgOrientation.pose.covariance[0]=0.0;\\n\\t\\n\\t\\n\\tros::Timer publisher = n.createTimer(ros::Duration(0.1), send);\\n \\n\\tros::spin();\\n\\treturn 0;\\n}\\n\"\n },\n {\n \"alpha_fraction\": 0.5043134689331055,\n \"alphanum_fraction\": 0.5097052454948425,\n \"avg_line_length\": 24.703702926635742,\n \"blob_id\": \"75eacb4c53d464efdf55718e61ab5eba17901f1a\",\n \"content_id\": \"84c79d11b632d37eb683bf58b77b96d3fe276efd\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2786,\n \"license_type\": \"no_license\",\n \"max_line_length\": 104,\n \"num_lines\": 108,\n \"path\": \"/script/tracer_points.py~\",\n \"repo_name\": \"PSCX15/qg\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# -*- coding: utf-8 -*-\\n\\n\\nimport matplotlib.pyplot as plt\\nimport matplotlib.axes as mpax\\nimport numpy as np\\n\\n\\nimport rospy\\nfrom nav_msgs.msg import Odometry\\nfrom geometry_msgs.msg import Point, Quaternion\\n\\n\\n\\ndef callback(data):\\n rospy.loginfo(\\\"I heard %s\\\", data.data)\\n\\ndef tracer_points(nom_fichier):\\n \\n rospy.init_node('node_name', anonymous = True)\\n\\n rospy.Subscriber(\\\"/odometry/filtered_map\\\", Point, callback)\\n \\n # spin() simply keeps python from exiting until this node is stopped\\n rospy.spin()\\n \\n \\n file = open(nom_fichier + \\\".txt\\\",\\\"w\\\")\\n \\n x = []\\n y = []\\n \\n while not rospy.is_shutdown():\\n file.write(str(geometry_msg/Point.position.x) + \\\" \\\" + str(geometry_msg/Point.position.y) + \\\"\\\\n\\\")\\n x.append(geometry_msg/Point.position.x)\\n y.append(geometry_msg/Point.position.y)\\n \\n \\n file.close()\\n\\n plt.scatter(x,y)\\n\\n plt.title('Nuage de points représentant la position du robot au cours du temps')\\n plt.xlabel('Est')\\n plt.ylabel('Nord')\\n plt.savefig(nom_fichier + '.png')\\n plt.show() \\n \\n \\n \\ndef tracer_tout(liste_nom_fichier):\\n\\n couleurs = ['b', 'r', 'g', 'c', 'm', 'y', 'k', 'purple', 'brown', 'gray']\\n for i in range (len(liste_nom_fichier)): \\n \\n file = open(liste_nom_fichier[i],\\\"r\\\")\\n \\n X = []\\n Y = []\\n M = 0\\n \\n for line in file:\\n x,y = \\\"\\\",\\\"\\\"\\n sec_col = False\\n for k in range(len(line)):\\n if line[k] == \\\" \\\":\\n sec_col = True\\n else:\\n if sec_col:\\n y = y + line[k]\\n else:\\n x = x + line[k]\\n \\n X.append(float(x))\\n Y.append(float(y))\\n if np.sqrt(float(x)**2 + float(y)**2) > M:\\n M = np.sqrt(float(x)**2 + float(y)**2)\\n \\n \\n theta = np.linspace(0, 2*np.pi, 40)\\n\\n c = M*np.cos(theta)\\n s = M*np.sin(theta)\\n \\n fig = plt.figure()\\n ax = fig.add_subplot(1,1,1)\\n ax.plot(c, s, c = couleurs[(k % len(couleurs))])\\n plt.scatter(X,Y,c = couleurs[(k % len(couleurs))])\\n ax.spines['left'].set_position('zero') # Propriétés des axes\\n ax.spines['right'].set_color('none')\\n ax.spines['bottom'].set_position('zero')\\n ax.spines['top'].set_color('none')\\n plt.axis(\\\"equal\\\")\\n \\n \\n plt.title('Nuage de points représentant la position du robot au cours du temps')\\n plt.xlabel('Est')\\n plt.ylabel('Nord')\\n plt.savefig('compilation_traces.png')\\n #plt.show()\\n \\n#liste = [\\\"test1.txt\\\",\\\"test2.txt\\\"]\\n#tracer_tout(liste)\\n \\n \\n\\nif(__name__ == '__main__'):\\n tracer_points()\\n \\n\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":8,"string":"8"}}},{"rowIdx":2976994,"cells":{"repo_name":{"kind":"string","value":"MdlPC/working-with-images"},"repo_url":{"kind":"string","value":"https://github.com/MdlPC/working-with-images"},"snapshot_id":{"kind":"string","value":"94e6f8c3a8628155487dddb92220ccdd8cd1d296"},"revision_id":{"kind":"string","value":"c11a6aad4af84b2369c24ce7ecbfef5e2ca974b3"},"directory_id":{"kind":"string","value":"b04d8ec00a89b9069a6c14cb4ab9230d2744d750"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-16T04:31:20.551735","string":"2021-01-16T04:31:20.551735"},"revision_date":{"kind":"timestamp","value":"2020-03-12T07:30:39","string":"2020-03-12T07:30:39"},"committer_date":{"kind":"timestamp","value":"2020-03-12T07:30:39","string":"2020-03-12T07:30:39"},"github_id":{"kind":"number","value":242977798,"string":"242,977,798"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5659690499305725,"alphanum_fraction":0.5686988234519958,"avg_line_length":31.303030014038086,"blob_id":"bd30ce71640661b4ed537e599a96090d9f811534","content_id":"a4fa0d2af360f562830e2d32e63bdddcc0e10225","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1099,"license_type":"no_license","max_line_length":106,"num_lines":33,"path":"/tiff_to_jpeg.py","repo_name":"MdlPC/working-with-images","src_encoding":"UTF-8","text":"'''\r\nrequires PIL for image transformation\r\n'''\r\nimport os\r\nfrom PIL import Image\r\nfrom tkinter import filedialog\r\n\r\ndef tiff_to_jpeg(calidad=75):\r\n '''\r\n Allows you to choose a folder in order to transform tiff images within the folder into new jpeg files \r\n (creates a new file that shares name with initial tiff document)\r\n '''\r\n directorio = filedialog.askdirectory()\r\n\r\n for archivo in os.listdir(directorio):\r\n if archivo.endswith('.tif'):\r\n fin=archivo.index('.')\r\n nombre=''\r\n nombre_final = ''\r\n for letra in range(0,fin):\r\n nombre += archivo[letra]\r\n nombre_final = nombre + '.jpg'\r\n try:\r\n print(f'transformando {nombre}')\r\n imagen = Image.open(os.path.join(directorio,archivo))\r\n imagen.thumbnail(imagen.size)\r\n directorio_final = os.path.join(directorio, nombre_final)\r\n imagen.save(directorio_final, format='JPEG', quality=calidad)\r\n except:\r\n pass\r\n \r\n\r\ntiff_to_jpeg()\r\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5659690499305725,\n \"alphanum_fraction\": 0.5686988234519958,\n \"avg_line_length\": 31.303030014038086,\n \"blob_id\": \"bd30ce71640661b4ed537e599a96090d9f811534\",\n \"content_id\": \"a4fa0d2af360f562830e2d32e63bdddcc0e10225\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1099,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 33,\n \"path\": \"/tiff_to_jpeg.py\",\n \"repo_name\": \"MdlPC/working-with-images\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"'''\\r\\nrequires PIL for image transformation\\r\\n'''\\r\\nimport os\\r\\nfrom PIL import Image\\r\\nfrom tkinter import filedialog\\r\\n\\r\\ndef tiff_to_jpeg(calidad=75):\\r\\n '''\\r\\n Allows you to choose a folder in order to transform tiff images within the folder into new jpeg files \\r\\n (creates a new file that shares name with initial tiff document)\\r\\n '''\\r\\n directorio = filedialog.askdirectory()\\r\\n\\r\\n for archivo in os.listdir(directorio):\\r\\n if archivo.endswith('.tif'):\\r\\n fin=archivo.index('.')\\r\\n nombre=''\\r\\n nombre_final = ''\\r\\n for letra in range(0,fin):\\r\\n nombre += archivo[letra]\\r\\n nombre_final = nombre + '.jpg'\\r\\n try:\\r\\n print(f'transformando {nombre}')\\r\\n imagen = Image.open(os.path.join(directorio,archivo))\\r\\n imagen.thumbnail(imagen.size)\\r\\n directorio_final = os.path.join(directorio, nombre_final)\\r\\n imagen.save(directorio_final, format='JPEG', quality=calidad)\\r\\n except:\\r\\n pass\\r\\n \\r\\n\\r\\ntiff_to_jpeg()\\r\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2976995,"cells":{"repo_name":{"kind":"string","value":"yusanshi/write-in-Louis-Cha-style"},"repo_url":{"kind":"string","value":"https://github.com/yusanshi/write-in-Louis-Cha-style"},"snapshot_id":{"kind":"string","value":"f3a5c2b4598ae0b5b8852f8ce0c110ee6582609b"},"revision_id":{"kind":"string","value":"2d7d862a07e068632b81dc2fdb2058238d221d5f"},"directory_id":{"kind":"string","value":"93da81573836a4798ec2c9db25dbc372687bd89f"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-04-13T13:19:21.157490","string":"2022-04-13T13:19:21.157490"},"revision_date":{"kind":"timestamp","value":"2020-03-17T14:30:42","string":"2020-03-17T14:30:42"},"committer_date":{"kind":"timestamp","value":"2020-03-17T14:30:42","string":"2020-03-17T14:30:42"},"github_id":{"kind":"number","value":202991536,"string":"202,991,536"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.6791208982467651,"alphanum_fraction":0.7252747416496277,"avg_line_length":31.5,"blob_id":"7bd89b74b1a7a0818e96a34367583ed0c3c00228","content_id":"65df2cd6f046caf73efdc38f50fc7a84b6e9cf2d","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":455,"license_type":"no_license","max_line_length":81,"num_lines":14,"path":"/config.py","repo_name":"yusanshi/write-in-Louis-Cha-style","src_encoding":"UTF-8","text":"MODEL_PATH = 'saved_model'\nLOG_PATH = 'log'\nJS_PATH = 'tfjs'\nSEQ_LENGTH = 100\nEPOCHS = 100\nBATCH_SIZE = 64\nEMBEDDING_DIM = 256\nRNN_UNITS = 512\nLEARNING_RATE = 0.001\nTEMPERATURE = 0.8 # bigger value means bigger randomness, and vice versa\n\n# The actual quantity of data is the smaller of quantities decided by the two NUM\nBOOK_NUM = 1 # None for all books (used together with LINE_NUM)\nLINE_NUM = None # None for all lines (used together with BOOK_NUM)\n"},{"alpha_fraction":0.6003540754318237,"alphanum_fraction":0.604558527469635,"avg_line_length":31.985401153564453,"blob_id":"3ecc0192e602d9df04efedf6b70c4a42a85a8eeb","content_id":"51e23739574edb37f69304736214a303f16c3393","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":4564,"license_type":"no_license","max_line_length":142,"num_lines":137,"path":"/train.py","repo_name":"yusanshi/write-in-Louis-Cha-style","src_encoding":"UTF-8","text":"from __future__ import absolute_import, division, print_function, unicode_literals\n\nfrom config import MODEL_PATH, LINE_NUM, BOOK_NUM, LINE_NUM, SEQ_LENGTH, EPOCHS, BATCH_SIZE, EMBEDDING_DIM, RNN_UNITS, LEARNING_RATE, LOG_PATH\nfrom collections import Counter\nfrom tensorflow.keras import layers\nfrom tensorflow import keras\nimport tensorflow as tf\nimport numpy as np\nimport os\nimport io\nimport re\nimport time\nimport jieba\nimport pprint\nimport pickle\nimport itertools\nimport datetime\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'\n\n\ndef build_model(vocab_size, embedding_dim, rnn_units, batch_size):\n model = tf.keras.Sequential([\n layers.Embedding(vocab_size + 1, embedding_dim,\n batch_input_shape=[batch_size, None]),\n layers.LSTM(rnn_units,\n return_sequences=True,\n stateful=True,\n recurrent_initializer='glorot_uniform'),\n layers.Dense(vocab_size)\n ])\n return model\n\n\ndef loss(labels, logits):\n return keras.losses.sparse_categorical_crossentropy(labels, logits, from_logits=True)\n\n\ndef train():\n\n # Prepare data\n path_to_zip = keras.utils.get_file(\n 'Louis_Cha_novels.zip', origin='https://yun.yusanshi.com/TF_datasets/Louis_Cha_novels.zip', extract=True)\n path_to_txt = os.path.join(os.path.dirname(path_to_zip), 'novels')\n\n def no_invalid_chars(s):\n fil = re.compile(\n u'[0-9a-zA-Z\\u4e00-\\u9fa5.,…，。、：；【】〈〉（）《》<>＋！%？— ·~‘’“” ]+', re.UNICODE)\n s = fil.sub('', s)\n return s == ''\n\n lines = []\n for file in os.listdir(path_to_txt)[:BOOK_NUM]:\n with open(os.path.join(path_to_txt, file), 'r', encoding='utf-8') as f:\n lines.extend([l.strip() for l in f.readlines() if len(\n l.strip()) > 0 and no_invalid_chars(l.strip())])\n\n lines = lines[:LINE_NUM]\n print('Lines num: %d' % len(lines))\n lines = [' '.join([l for l in list(jieba.cut(l)) if l != ' '])\n for l in lines]\n text = ' <br> '.join(lines)\n\n def tokenize(text):\n lang_tokenizer = keras.preprocessing.text.Tokenizer(filters='')\n lang_tokenizer.fit_on_texts(text)\n tensor = lang_tokenizer.texts_to_sequences(text)\n return tensor, lang_tokenizer\n\n tensor, tokenizer = tokenize([text]) # Must pass a list here!\n text_seq = tensor[0]\n text_length = len(text_seq)\n print('Fragments num: %d' % text_length)\n text_to_int = tokenizer.word_index\n int_to_text = tokenizer.index_word\n vocab_size = len(text_to_int)\n print('Vocabulary size: %d' % vocab_size)\n\n text_seq_dataset = tf.data.Dataset.from_tensor_slices(text_seq)\n text_seq_dataset_batched = text_seq_dataset.batch(\n SEQ_LENGTH+1, drop_remainder=True)\n\n def split_to_input_and_target(chunk):\n input_chunk = chunk[:-1]\n target_chunk = chunk[1:]\n return input_chunk, target_chunk\n\n dataset = text_seq_dataset_batched.map(split_to_input_and_target)\n dataset = dataset.shuffle(text_length//SEQ_LENGTH).batch(\n BATCH_SIZE, drop_remainder=True)\n\n # for inp, tar in dataset.take(1):\n # print('Input' + str(inp))\n # print('Target' + str(tar))\n # print('Input first' + str(inp.numpy()[0]))\n # print('Target first' + str(tar.numpy()[0]))\n\n model = build_model(vocab_size=vocab_size,\n embedding_dim=EMBEDDING_DIM,\n rnn_units=RNN_UNITS,\n batch_size=BATCH_SIZE)\n # model.summary()\n model.compile(optimizer=keras.optimizers.Adam(\n learning_rate=LEARNING_RATE), loss=loss)\n\n logdir = os.path.join(\n LOG_PATH, datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\"))\n tensorboard_callback = keras.callbacks.TensorBoard(\n log_dir=logdir, histogram_freq=1)\n\n print(dataset)\n\n model.fit(dataset, epochs=EPOCHS, callbacks=[tensorboard_callback])\n\n def save_model(variables, models):\n for k, v in variables.items():\n with open(os.path.join(MODEL_PATH, k+'.pickle'), 'wb') as handle:\n pickle.dump(v, handle, protocol=pickle.HIGHEST_PROTOCOL)\n\n for k, v in models.items():\n v.save_weights(os.path.join(MODEL_PATH, k))\n\n print('Model saved in %s.' % MODEL_PATH)\n\n save_model(\n {\n 'text_to_int': text_to_int,\n 'int_to_text': int_to_text,\n 'vocab_size': vocab_size\n },\n {\n 'model': model\n }\n )\n\n\nif __name__ == '__main__':\n train()\n"},{"alpha_fraction":0.729880154132843,"alphanum_fraction":0.7684075236320496,"avg_line_length":46.65306091308594,"blob_id":"ee9e7aabbf6801694f2ff519ffd7b48938c80a17","content_id":"c218c427b2e0b6f16e60e73f8548db6c29b9ac94","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":3984,"license_type":"no_license","max_line_length":511,"num_lines":49,"path":"/README.md","repo_name":"yusanshi/write-in-Louis-Cha-style","src_encoding":"UTF-8","text":"# 金庸风格补写\n\n## 简介\n\n输入开头、要生成的字数及温度，点击提交即可按金庸风格补写开头。\n\n演示站：https://yusanshi.com/Louis_Cha/ ，参考了 [TensorFlow 官方教程](https://www.tensorflow.org/beta/tutorials/text/text_generation) 和 [LeeMeng 博客](https://leemeng.tw/how-to-generate-interesting-text-with-tensorflow2-and-tensorflow-js.html)。\n\n\n\n从动图可以看到，温度值较高时（0.8、1.0），生成的文字较随机，当温度值变低时（如 0.01），会导致更不随机，往往表现为文字的重复（原因是此时拥有最大概率的候选词几乎每次都被选到了）。总结之，温度值较高，最终的选词集中在少数几个有较大概率的候选词上；温度值较低，本身概率没那么大的候选词也会容易被选到。\n\n## 基本原理\n\n### Python 版\nPython 版主要参考了 [TensorFlow 官方教程](https://www.tensorflow.org/beta/tutorials/text/text_generation)，此处不再详细介绍。运行`main.py`即可。\n\n### 网页版\n\n#### 模型保存\n\n若`apply.py`中`apply`函数的`save_to_JS`参数为`True`，则会保存下来`data.json`（是字段和序号间对应关系的一个字典）和可在 Tensorflow.js 中加载的模型。\n\n#### 前端\n\n在`website`文件夹中，分为前端`front_end`和`back_end`后端。前端包含主站 https://yusanshi.com/Louis_Cha/ 的源码，亦包括使用 Tensorflow.js 来生成字符序列的 Javascript 代码。\n\n#### 后端\n\n后端是使用 Node.js 搭建的用于提供中文分词服务的 API（这个分词服务用于对用户输入的开头分词）。核心的分词服务用的是 [NodeJieba](https://www.npmjs.com/package/nodejieba)，HTTP 服务器用的是 [express](https://www.npmjs.com/package/express)，跨域访问问题用 [cors package](https://www.npmjs.com/package/cors) 解决，使用 Nginx 将 express 监听的端口（如 8080）转发到 80，免费 HTTPS 证书由 [Let's Encrypt](https://letsencrypt.org/) 签发（之所以要给 API 添加对 HTTPS 的支持，是因为我的主站也是 HTTPS 的，不允许向 HTTP 地址发送 Ajax 请求）。 API 请求地址为 https://yusanshi.com/api/jieba/ （POST 方法），同时也提供对 GET 请求的处理，直接访问这个地址即可在线体验（或检查该 API 有没有挂掉233），如下图。\n\n\n\n## 配置\n\n1. 配置 Python 环境，利用 pip 工具安装配置 Tensorflow 2.0（写此 README 时最新版是 TensorFlow 2.0 RC）和其他 Packages；\n2. 调整`config.py`中的参数，运行`main.py`训练并查看训练效果（训练的时候可以使用`tensorboard --logdir log`命令实时查看 loss 的值），之后运行`apply.py`并将`save_to_JS`参数设为`True`来保存模型和字典（tfjs 文件夹和`data.json`），将 tfjs 文件夹和`data.json`一起放入`front_end`，将整个`front_end`的内容放入网站文件夹中；\n3. 服务器端配置好 NPM 和 Node.js 的环境，安装`nodejieba`和`express`包，使用`node app.js`运行分词 API，配置 Nginx 将其转发到 80 端口（配置文件示例：https://gist.github.com/yusanshi/6e041397af2ce86d605e42496082ed46 ），再利用`certbot`为 Nginx 中的该站点配置 SSL 加密；\n4. 浏览器访问`front_end`中内容即可。\n\n> 也可以利用 [Browserify](http://browserify.org/)，直接使用 Nodejieba 而不再搭建 API。\n\n## 其他\n\n### 数据集\n\n从网上搜集到金庸老师的作品之后（txt格式），我对每部作品进行了处理（去掉“注”部分和“按”部分、多行空行转成一行），并打包放在了 https://yun.yusanshi.com/TF_datasets/Louis_Cha_novels.zip 。\n\n> 依照《中华人民共和国著作权法》第二十二条“可以不经著作权人许可”的几种情况，请仅基于研究深度学习的目的使用本数据。\n\n"},{"alpha_fraction":0.6039840579032898,"alphanum_fraction":0.6095617413520813,"avg_line_length":33.86111068725586,"blob_id":"6fd430aa8c40f179d0e5f47941acfbd52a0d2b04","content_id":"e67dc6b34fc4de7c6fc0c6740eb49429f915d065","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2538,"license_type":"no_license","max_line_length":100,"num_lines":72,"path":"/apply.py","repo_name":"yusanshi/write-in-Louis-Cha-style","src_encoding":"UTF-8","text":"import os\nimport jieba\nimport pickle\nimport json\nimport shutil\nimport tensorflow as tf\nimport tensorflowjs as tfjs\nfrom pathlib import Path\nfrom tensorflow import keras\nfrom train import build_model\nfrom config import MODEL_PATH, EMBEDDING_DIM, RNN_UNITS, TEMPERATURE, JS_PATH\n\n\ndef apply(beginning, num_of_chars, save_to_JS=False):\n # load model\n\n # model = keras.models.load_model(os.path.join(MODEL_PATH, 'model.h5'))\n with open(os.path.join(MODEL_PATH, 'text_to_int.pickle'), 'rb') as handle:\n text_to_int = pickle.load(handle)\n with open(os.path.join(MODEL_PATH, 'int_to_text.pickle'), 'rb') as handle:\n int_to_text = pickle.load(handle)\n with open(os.path.join(MODEL_PATH, 'vocab_size.pickle'), 'rb') as handle:\n vocab_size = pickle.load(handle)\n\n model = build_model(vocab_size=vocab_size,\n embedding_dim=EMBEDDING_DIM,\n rnn_units=RNN_UNITS,\n batch_size=1)\n\n model.load_weights(os.path.join(MODEL_PATH, 'model'))\n\n print('Load model successfully.')\n\n # for Tensorflowjs\n if save_to_JS:\n if Path(JS_PATH).is_dir():\n shutil.rmtree(JS_PATH)\n\n data = {\n 'text_to_int': text_to_int,\n 'int_to_text': int_to_text\n }\n with open('data.json', 'w', encoding='utf-8') as f:\n f.write(json.dumps(data))\n print('Dict written to data.json.')\n\n tfjs.converters.save_keras_model(model, JS_PATH)\n print('Model for JS saved to %s.' % JS_PATH)\n\n input_seq_jieba = [l for l in list(jieba.cut(beginning)) if l != ' ']\n input_seq_int = [text_to_int[w]\n for w in input_seq_jieba if w in text_to_int]\n if len(input_seq_int) == 0:\n input_seq_int = [text_to_int['<br>']]\n input_seq = tf.expand_dims(input_seq_int, axis=0) # Add a dim\n\n text_generated = ''\n model.reset_states() # Add this because 'stateful=True'\n while len(text_generated) < num_of_chars:\n predictions = model.predict(input_seq)\n predictions = tf.squeeze(predictions, axis=0)\n predictions /= TEMPERATURE\n predicted_id = tf.random.categorical(\n predictions, num_samples=1).numpy()[-1][0]\n input_seq = tf.expand_dims([predicted_id], 0) # Add a dim\n text_generated += int_to_text[predicted_id] if int_to_text[predicted_id] != '<br>' else '\\n'\n\n return text_generated\n\n\nif __name__ == \"__main__\":\n print(apply('那长须老者满脸得色，微微一笑', 1000, True))\n"},{"alpha_fraction":0.6746987700462341,"alphanum_fraction":0.681392252445221,"avg_line_length":22.34375,"blob_id":"a2feb976c6b241bb947a873e3990a151cc282635","content_id":"f97e3b5513516b0e1ab4fee15a50a30c0d2e8c56","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"JavaScript","length_bytes":747,"license_type":"no_license","max_line_length":68,"num_lines":32,"path":"/website/back_end/app.js","repo_name":"yusanshi/write-in-Louis-Cha-style","src_encoding":"UTF-8","text":"var express = require('express')\nvar cors = require('cors')\nvar bodyParser = require('body-parser')\nvar urlencodedParser = bodyParser.urlencoded({\n extended: false\n})\nvar http = require('http')\nvar app = express()\nconst nodejieba = require(\"nodejieba\")\nnodejieba.load()\n\nconst port = 8081\nconst fs = require('fs')\nconst html = fs.readFileSync('./get.html', 'utf-8')\n\napp.use(cors())\n\napp.get('/', function (req, res) {\n res.send(html)\n})\n\napp.post('/', urlencodedParser, function (req, res) {\n var result = nodejieba.cut(req.body.sentence, true)\n console.log(result)\n res.json(result)\n})\n\nvar server = http.createServer(app)\n\nserver.listen(port, function () {\n console.log('CORS-enabled web server listening on port ' + port)\n})\n"},{"alpha_fraction":0.6314102411270142,"alphanum_fraction":0.6378205418586731,"avg_line_length":22.11111068725586,"blob_id":"434f5ff5adbd0b477ca44eceea1fcccc54c955e0","content_id":"8cc52a8203b410fe1973d54050745de8487150b7","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":652,"license_type":"no_license","max_line_length":59,"num_lines":27,"path":"/main.py","repo_name":"yusanshi/write-in-Louis-Cha-style","src_encoding":"UTF-8","text":"from train import train\nfrom apply import apply\nfrom pathlib import Path\nfrom config import MODEL_PATH, LOG_PATH\nimport os\nimport shutil\n\n\ndef main(beginning, num_of_chars, force_retrain=False):\n if force_retrain:\n if Path(MODEL_PATH).is_dir():\n shutil.rmtree(MODEL_PATH)\n\n if Path(LOG_PATH).is_dir():\n shutil.rmtree(LOG_PATH)\n\n if not Path(MODEL_PATH).is_dir(): # not exists\n os.mkdir(MODEL_PATH)\n\n if not os.listdir(MODEL_PATH): # blank\n train()\n\n print(beginning + ' ' + apply(beginning, num_of_chars))\n\n\nif __name__ == '__main__':\n main('那长须老者满脸得色，微微一笑', 1000)\n"}],"string":"[\n {\n \"alpha_fraction\": 0.6791208982467651,\n \"alphanum_fraction\": 0.7252747416496277,\n \"avg_line_length\": 31.5,\n \"blob_id\": \"7bd89b74b1a7a0818e96a34367583ed0c3c00228\",\n \"content_id\": \"65df2cd6f046caf73efdc38f50fc7a84b6e9cf2d\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 455,\n \"license_type\": \"no_license\",\n \"max_line_length\": 81,\n \"num_lines\": 14,\n \"path\": \"/config.py\",\n \"repo_name\": \"yusanshi/write-in-Louis-Cha-style\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"MODEL_PATH = 'saved_model'\\nLOG_PATH = 'log'\\nJS_PATH = 'tfjs'\\nSEQ_LENGTH = 100\\nEPOCHS = 100\\nBATCH_SIZE = 64\\nEMBEDDING_DIM = 256\\nRNN_UNITS = 512\\nLEARNING_RATE = 0.001\\nTEMPERATURE = 0.8 # bigger value means bigger randomness, and vice versa\\n\\n# The actual quantity of data is the smaller of quantities decided by the two NUM\\nBOOK_NUM = 1 # None for all books (used together with LINE_NUM)\\nLINE_NUM = None # None for all lines (used together with BOOK_NUM)\\n\"\n },\n {\n \"alpha_fraction\": 0.6003540754318237,\n \"alphanum_fraction\": 0.604558527469635,\n \"avg_line_length\": 31.985401153564453,\n \"blob_id\": \"3ecc0192e602d9df04efedf6b70c4a42a85a8eeb\",\n \"content_id\": \"51e23739574edb37f69304736214a303f16c3393\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 4564,\n \"license_type\": \"no_license\",\n \"max_line_length\": 142,\n \"num_lines\": 137,\n \"path\": \"/train.py\",\n \"repo_name\": \"yusanshi/write-in-Louis-Cha-style\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from __future__ import absolute_import, division, print_function, unicode_literals\\n\\nfrom config import MODEL_PATH, LINE_NUM, BOOK_NUM, LINE_NUM, SEQ_LENGTH, EPOCHS, BATCH_SIZE, EMBEDDING_DIM, RNN_UNITS, LEARNING_RATE, LOG_PATH\\nfrom collections import Counter\\nfrom tensorflow.keras import layers\\nfrom tensorflow import keras\\nimport tensorflow as tf\\nimport numpy as np\\nimport os\\nimport io\\nimport re\\nimport time\\nimport jieba\\nimport pprint\\nimport pickle\\nimport itertools\\nimport datetime\\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'\\n\\n\\ndef build_model(vocab_size, embedding_dim, rnn_units, batch_size):\\n model = tf.keras.Sequential([\\n layers.Embedding(vocab_size + 1, embedding_dim,\\n batch_input_shape=[batch_size, None]),\\n layers.LSTM(rnn_units,\\n return_sequences=True,\\n stateful=True,\\n recurrent_initializer='glorot_uniform'),\\n layers.Dense(vocab_size)\\n ])\\n return model\\n\\n\\ndef loss(labels, logits):\\n return keras.losses.sparse_categorical_crossentropy(labels, logits, from_logits=True)\\n\\n\\ndef train():\\n\\n # Prepare data\\n path_to_zip = keras.utils.get_file(\\n 'Louis_Cha_novels.zip', origin='https://yun.yusanshi.com/TF_datasets/Louis_Cha_novels.zip', extract=True)\\n path_to_txt = os.path.join(os.path.dirname(path_to_zip), 'novels')\\n\\n def no_invalid_chars(s):\\n fil = re.compile(\\n u'[0-9a-zA-Z\\\\u4e00-\\\\u9fa5.,…，。、：；【】〈〉（）《》<>＋！%？— ·~‘’“” ]+', re.UNICODE)\\n s = fil.sub('', s)\\n return s == ''\\n\\n lines = []\\n for file in os.listdir(path_to_txt)[:BOOK_NUM]:\\n with open(os.path.join(path_to_txt, file), 'r', encoding='utf-8') as f:\\n lines.extend([l.strip() for l in f.readlines() if len(\\n l.strip()) > 0 and no_invalid_chars(l.strip())])\\n\\n lines = lines[:LINE_NUM]\\n print('Lines num: %d' % len(lines))\\n lines = [' '.join([l for l in list(jieba.cut(l)) if l != ' '])\\n for l in lines]\\n text = ' <br> '.join(lines)\\n\\n def tokenize(text):\\n lang_tokenizer = keras.preprocessing.text.Tokenizer(filters='')\\n lang_tokenizer.fit_on_texts(text)\\n tensor = lang_tokenizer.texts_to_sequences(text)\\n return tensor, lang_tokenizer\\n\\n tensor, tokenizer = tokenize([text]) # Must pass a list here!\\n text_seq = tensor[0]\\n text_length = len(text_seq)\\n print('Fragments num: %d' % text_length)\\n text_to_int = tokenizer.word_index\\n int_to_text = tokenizer.index_word\\n vocab_size = len(text_to_int)\\n print('Vocabulary size: %d' % vocab_size)\\n\\n text_seq_dataset = tf.data.Dataset.from_tensor_slices(text_seq)\\n text_seq_dataset_batched = text_seq_dataset.batch(\\n SEQ_LENGTH+1, drop_remainder=True)\\n\\n def split_to_input_and_target(chunk):\\n input_chunk = chunk[:-1]\\n target_chunk = chunk[1:]\\n return input_chunk, target_chunk\\n\\n dataset = text_seq_dataset_batched.map(split_to_input_and_target)\\n dataset = dataset.shuffle(text_length//SEQ_LENGTH).batch(\\n BATCH_SIZE, drop_remainder=True)\\n\\n # for inp, tar in dataset.take(1):\\n # print('Input' + str(inp))\\n # print('Target' + str(tar))\\n # print('Input first' + str(inp.numpy()[0]))\\n # print('Target first' + str(tar.numpy()[0]))\\n\\n model = build_model(vocab_size=vocab_size,\\n embedding_dim=EMBEDDING_DIM,\\n rnn_units=RNN_UNITS,\\n batch_size=BATCH_SIZE)\\n # model.summary()\\n model.compile(optimizer=keras.optimizers.Adam(\\n learning_rate=LEARNING_RATE), loss=loss)\\n\\n logdir = os.path.join(\\n LOG_PATH, datetime.datetime.now().strftime(\\\"%Y%m%d-%H%M%S\\\"))\\n tensorboard_callback = keras.callbacks.TensorBoard(\\n log_dir=logdir, histogram_freq=1)\\n\\n print(dataset)\\n\\n model.fit(dataset, epochs=EPOCHS, callbacks=[tensorboard_callback])\\n\\n def save_model(variables, models):\\n for k, v in variables.items():\\n with open(os.path.join(MODEL_PATH, k+'.pickle'), 'wb') as handle:\\n pickle.dump(v, handle, protocol=pickle.HIGHEST_PROTOCOL)\\n\\n for k, v in models.items():\\n v.save_weights(os.path.join(MODEL_PATH, k))\\n\\n print('Model saved in %s.' % MODEL_PATH)\\n\\n save_model(\\n {\\n 'text_to_int': text_to_int,\\n 'int_to_text': int_to_text,\\n 'vocab_size': vocab_size\\n },\\n {\\n 'model': model\\n }\\n )\\n\\n\\nif __name__ == '__main__':\\n train()\\n\"\n },\n {\n \"alpha_fraction\": 0.729880154132843,\n \"alphanum_fraction\": 0.7684075236320496,\n \"avg_line_length\": 46.65306091308594,\n \"blob_id\": \"ee9e7aabbf6801694f2ff519ffd7b48938c80a17\",\n \"content_id\": \"c218c427b2e0b6f16e60e73f8548db6c29b9ac94\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 3984,\n \"license_type\": \"no_license\",\n \"max_line_length\": 511,\n \"num_lines\": 49,\n \"path\": \"/README.md\",\n \"repo_name\": \"yusanshi/write-in-Louis-Cha-style\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# 金庸风格补写\\n\\n## 简介\\n\\n输入开头、要生成的字数及温度，点击提交即可按金庸风格补写开头。\\n\\n演示站：https://yusanshi.com/Louis_Cha/ ，参考了 [TensorFlow 官方教程](https://www.tensorflow.org/beta/tutorials/text/text_generation) 和 [LeeMeng 博客](https://leemeng.tw/how-to-generate-interesting-text-with-tensorflow2-and-tensorflow-js.html)。\\n\\n\\n\\n从动图可以看到，温度值较高时（0.8、1.0），生成的文字较随机，当温度值变低时（如 0.01），会导致更不随机，往往表现为文字的重复（原因是此时拥有最大概率的候选词几乎每次都被选到了）。总结之，温度值较高，最终的选词集中在少数几个有较大概率的候选词上；温度值较低，本身概率没那么大的候选词也会容易被选到。\\n\\n## 基本原理\\n\\n### Python 版\\nPython 版主要参考了 [TensorFlow 官方教程](https://www.tensorflow.org/beta/tutorials/text/text_generation)，此处不再详细介绍。运行`main.py`即可。\\n\\n### 网页版\\n\\n#### 模型保存\\n\\n若`apply.py`中`apply`函数的`save_to_JS`参数为`True`，则会保存下来`data.json`（是字段和序号间对应关系的一个字典）和可在 Tensorflow.js 中加载的模型。\\n\\n#### 前端\\n\\n在`website`文件夹中，分为前端`front_end`和`back_end`后端。前端包含主站 https://yusanshi.com/Louis_Cha/ 的源码，亦包括使用 Tensorflow.js 来生成字符序列的 Javascript 代码。\\n\\n#### 后端\\n\\n后端是使用 Node.js 搭建的用于提供中文分词服务的 API（这个分词服务用于对用户输入的开头分词）。核心的分词服务用的是 [NodeJieba](https://www.npmjs.com/package/nodejieba)，HTTP 服务器用的是 [express](https://www.npmjs.com/package/express)，跨域访问问题用 [cors package](https://www.npmjs.com/package/cors) 解决，使用 Nginx 将 express 监听的端口（如 8080）转发到 80，免费 HTTPS 证书由 [Let's Encrypt](https://letsencrypt.org/) 签发（之所以要给 API 添加对 HTTPS 的支持，是因为我的主站也是 HTTPS 的，不允许向 HTTP 地址发送 Ajax 请求）。 API 请求地址为 https://yusanshi.com/api/jieba/ （POST 方法），同时也提供对 GET 请求的处理，直接访问这个地址即可在线体验（或检查该 API 有没有挂掉233），如下图。\\n\\n\\n\\n## 配置\\n\\n1. 配置 Python 环境，利用 pip 工具安装配置 Tensorflow 2.0（写此 README 时最新版是 TensorFlow 2.0 RC）和其他 Packages；\\n2. 调整`config.py`中的参数，运行`main.py`训练并查看训练效果（训练的时候可以使用`tensorboard --logdir log`命令实时查看 loss 的值），之后运行`apply.py`并将`save_to_JS`参数设为`True`来保存模型和字典（tfjs 文件夹和`data.json`），将 tfjs 文件夹和`data.json`一起放入`front_end`，将整个`front_end`的内容放入网站文件夹中；\\n3. 服务器端配置好 NPM 和 Node.js 的环境，安装`nodejieba`和`express`包，使用`node app.js`运行分词 API，配置 Nginx 将其转发到 80 端口（配置文件示例：https://gist.github.com/yusanshi/6e041397af2ce86d605e42496082ed46 ），再利用`certbot`为 Nginx 中的该站点配置 SSL 加密；\\n4. 浏览器访问`front_end`中内容即可。\\n\\n> 也可以利用 [Browserify](http://browserify.org/)，直接使用 Nodejieba 而不再搭建 API。\\n\\n## 其他\\n\\n### 数据集\\n\\n从网上搜集到金庸老师的作品之后（txt格式），我对每部作品进行了处理（去掉“注”部分和“按”部分、多行空行转成一行），并打包放在了 https://yun.yusanshi.com/TF_datasets/Louis_Cha_novels.zip 。\\n\\n> 依照《中华人民共和国著作权法》第二十二条“可以不经著作权人许可”的几种情况，请仅基于研究深度学习的目的使用本数据。\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6039840579032898,\n \"alphanum_fraction\": 0.6095617413520813,\n \"avg_line_length\": 33.86111068725586,\n \"blob_id\": \"6fd430aa8c40f179d0e5f47941acfbd52a0d2b04\",\n \"content_id\": \"e67dc6b34fc4de7c6fc0c6740eb49429f915d065\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2538,\n \"license_type\": \"no_license\",\n \"max_line_length\": 100,\n \"num_lines\": 72,\n \"path\": \"/apply.py\",\n \"repo_name\": \"yusanshi/write-in-Louis-Cha-style\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import os\\nimport jieba\\nimport pickle\\nimport json\\nimport shutil\\nimport tensorflow as tf\\nimport tensorflowjs as tfjs\\nfrom pathlib import Path\\nfrom tensorflow import keras\\nfrom train import build_model\\nfrom config import MODEL_PATH, EMBEDDING_DIM, RNN_UNITS, TEMPERATURE, JS_PATH\\n\\n\\ndef apply(beginning, num_of_chars, save_to_JS=False):\\n # load model\\n\\n # model = keras.models.load_model(os.path.join(MODEL_PATH, 'model.h5'))\\n with open(os.path.join(MODEL_PATH, 'text_to_int.pickle'), 'rb') as handle:\\n text_to_int = pickle.load(handle)\\n with open(os.path.join(MODEL_PATH, 'int_to_text.pickle'), 'rb') as handle:\\n int_to_text = pickle.load(handle)\\n with open(os.path.join(MODEL_PATH, 'vocab_size.pickle'), 'rb') as handle:\\n vocab_size = pickle.load(handle)\\n\\n model = build_model(vocab_size=vocab_size,\\n embedding_dim=EMBEDDING_DIM,\\n rnn_units=RNN_UNITS,\\n batch_size=1)\\n\\n model.load_weights(os.path.join(MODEL_PATH, 'model'))\\n\\n print('Load model successfully.')\\n\\n # for Tensorflowjs\\n if save_to_JS:\\n if Path(JS_PATH).is_dir():\\n shutil.rmtree(JS_PATH)\\n\\n data = {\\n 'text_to_int': text_to_int,\\n 'int_to_text': int_to_text\\n }\\n with open('data.json', 'w', encoding='utf-8') as f:\\n f.write(json.dumps(data))\\n print('Dict written to data.json.')\\n\\n tfjs.converters.save_keras_model(model, JS_PATH)\\n print('Model for JS saved to %s.' % JS_PATH)\\n\\n input_seq_jieba = [l for l in list(jieba.cut(beginning)) if l != ' ']\\n input_seq_int = [text_to_int[w]\\n for w in input_seq_jieba if w in text_to_int]\\n if len(input_seq_int) == 0:\\n input_seq_int = [text_to_int['<br>']]\\n input_seq = tf.expand_dims(input_seq_int, axis=0) # Add a dim\\n\\n text_generated = ''\\n model.reset_states() # Add this because 'stateful=True'\\n while len(text_generated) < num_of_chars:\\n predictions = model.predict(input_seq)\\n predictions = tf.squeeze(predictions, axis=0)\\n predictions /= TEMPERATURE\\n predicted_id = tf.random.categorical(\\n predictions, num_samples=1).numpy()[-1][0]\\n input_seq = tf.expand_dims([predicted_id], 0) # Add a dim\\n text_generated += int_to_text[predicted_id] if int_to_text[predicted_id] != '<br>' else '\\\\n'\\n\\n return text_generated\\n\\n\\nif __name__ == \\\"__main__\\\":\\n print(apply('那长须老者满脸得色，微微一笑', 1000, True))\\n\"\n },\n {\n \"alpha_fraction\": 0.6746987700462341,\n \"alphanum_fraction\": 0.681392252445221,\n \"avg_line_length\": 22.34375,\n \"blob_id\": \"a2feb976c6b241bb947a873e3990a151cc282635\",\n \"content_id\": \"f97e3b5513516b0e1ab4fee15a50a30c0d2e8c56\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"JavaScript\",\n \"length_bytes\": 747,\n \"license_type\": \"no_license\",\n \"max_line_length\": 68,\n \"num_lines\": 32,\n \"path\": \"/website/back_end/app.js\",\n \"repo_name\": \"yusanshi/write-in-Louis-Cha-style\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"var express = require('express')\\nvar cors = require('cors')\\nvar bodyParser = require('body-parser')\\nvar urlencodedParser = bodyParser.urlencoded({\\n extended: false\\n})\\nvar http = require('http')\\nvar app = express()\\nconst nodejieba = require(\\\"nodejieba\\\")\\nnodejieba.load()\\n\\nconst port = 8081\\nconst fs = require('fs')\\nconst html = fs.readFileSync('./get.html', 'utf-8')\\n\\napp.use(cors())\\n\\napp.get('/', function (req, res) {\\n res.send(html)\\n})\\n\\napp.post('/', urlencodedParser, function (req, res) {\\n var result = nodejieba.cut(req.body.sentence, true)\\n console.log(result)\\n res.json(result)\\n})\\n\\nvar server = http.createServer(app)\\n\\nserver.listen(port, function () {\\n console.log('CORS-enabled web server listening on port ' + port)\\n})\\n\"\n },\n {\n \"alpha_fraction\": 0.6314102411270142,\n \"alphanum_fraction\": 0.6378205418586731,\n \"avg_line_length\": 22.11111068725586,\n \"blob_id\": \"434f5ff5adbd0b477ca44eceea1fcccc54c955e0\",\n \"content_id\": \"8cc52a8203b410fe1973d54050745de8487150b7\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 652,\n \"license_type\": \"no_license\",\n \"max_line_length\": 59,\n \"num_lines\": 27,\n \"path\": \"/main.py\",\n \"repo_name\": \"yusanshi/write-in-Louis-Cha-style\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from train import train\\nfrom apply import apply\\nfrom pathlib import Path\\nfrom config import MODEL_PATH, LOG_PATH\\nimport os\\nimport shutil\\n\\n\\ndef main(beginning, num_of_chars, force_retrain=False):\\n if force_retrain:\\n if Path(MODEL_PATH).is_dir():\\n shutil.rmtree(MODEL_PATH)\\n\\n if Path(LOG_PATH).is_dir():\\n shutil.rmtree(LOG_PATH)\\n\\n if not Path(MODEL_PATH).is_dir(): # not exists\\n os.mkdir(MODEL_PATH)\\n\\n if not os.listdir(MODEL_PATH): # blank\\n train()\\n\\n print(beginning + ' ' + apply(beginning, num_of_chars))\\n\\n\\nif __name__ == '__main__':\\n main('那长须老者满脸得色，微微一笑', 1000)\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":6,"string":"6"}}},{"rowIdx":2976996,"cells":{"repo_name":{"kind":"string","value":"hucongkun/PyTorchCV"},"repo_url":{"kind":"string","value":"https://github.com/hucongkun/PyTorchCV"},"snapshot_id":{"kind":"string","value":"d700d2e247e668f231a1475bf95eccc9729d21ed"},"revision_id":{"kind":"string","value":"325bacab76044b9dc57505856672632807c14755"},"directory_id":{"kind":"string","value":"c5dfebacc02551adedd3b9a3fee005f5b34c7bb9"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2020-04-16T07:22:03.276989","string":"2020-04-16T07:22:03.276989"},"revision_date":{"kind":"timestamp","value":"2019-01-10T12:52:08","string":"2019-01-10T12:52:08"},"committer_date":{"kind":"timestamp","value":"2019-01-10T12:52:08","string":"2019-01-10T12:52:08"},"github_id":{"kind":"null"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.572549045085907,"alphanum_fraction":0.5976827144622803,"avg_line_length":40.25,"blob_id":"3a9452e31eea2cff051c8bb5d561703e54cf7159","content_id":"e5769d34ba557c0a5369a78a724ff0a6038fe3ac","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5610,"license_type":"permissive","max_line_length":114,"num_lines":136,"path":"/models/seg/nets/deeplabv3.py","repo_name":"hucongkun/PyTorchCV","src_encoding":"UTF-8","text":"#!/usr/bin/env python\n# -*- coding:utf-8 -*-\n# Author: Donny You(youansheng@gmail.com)\n# deeplabv3 res101 (synchronized BN version)\n\n\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom models.backbones.backbone_selector import BackboneSelector\nfrom models.tools.module_helper import ModuleHelper\n\n\nclass _ConvBatchNormReluBlock(nn.Module):\n def __init__(self, inplanes, outplanes, kernel_size, stride, padding, dilation, relu=True, bn_type=None):\n super(_ConvBatchNormReluBlock, self).__init__()\n self.relu = relu\n self.conv = nn.Conv2d(in_channels=inplanes,out_channels=outplanes,\n kernel_size=kernel_size, stride=stride, padding = padding,\n dilation = dilation, bias=False)\n self.bn = ModuleHelper.BatchNorm2d(bn_type=bn_type)(num_features=outplanes)\n self.relu_f = nn.ReLU()\n\n def forward(self, x):\n x = self.bn(self.conv(x))\n if self.relu:\n x = self.relu_f(x)\n\n return x\n\n\nclass _Bottleneck(nn.Module):\n def __init__(self, inplanes, midplanes, outplanes, stride, dilation, downsample, bn_type):\n super(_Bottleneck, self).__init__()\n self.reduce = _ConvBatchNormReluBlock(inplanes, midplanes, 1, stride, 0, 1, bn_type=bn_type)\n self.conv3x3 = _ConvBatchNormReluBlock(midplanes, midplanes, 3, 1, dilation, dilation, bn_type=bn_type)\n self.increase = _ConvBatchNormReluBlock(midplanes, outplanes, 1, 1, 0, 1, relu=False, bn_type=bn_type)\n self.downsample = downsample\n if self.downsample:\n self.proj = _ConvBatchNormReluBlock(inplanes, outplanes, 1, stride, 0, 1, relu=False, bn_type=bn_type)\n\n def forward(self, x):\n h = self.reduce(x)\n h = self.conv3x3(h)\n h = self.increase(h)\n if self.downsample:\n h += self.proj(x)\n else:\n h += x\n return F.relu(h)\n\n\nclass _ResidualBlockMulGrid(nn.Module):\n def __init__(self, inplanes, midplanes, outplanes, stride, dilation, mulgrid=[1,2,1], bn_type=None):\n super(_ResidualBlockMulGrid, self).__init__()\n self.block1 = _Bottleneck(inplanes, midplanes, outplanes, stride, dilation * mulgrid[0], True, bn_type)\n self.block2 = _Bottleneck(outplanes, midplanes, outplanes, 1, dilation * mulgrid[1], False, bn_type)\n self.block3 = _Bottleneck(outplanes, midplanes, outplanes, 1, dilation * mulgrid[2], False, bn_type)\n\n def forward(self, x):\n x = self.block1(x)\n x = self.block2(x)\n x = self.block3(x)\n return x\n\n\nclass _ASPPModule(nn.Module):\n \"\"\"Atrous Spatial Pyramid Pooling module with image pool (Deeplabv3)\"\"\"\n\n def __init__(self, in_channels, out_channels, pyramids, bn_type):\n super(_ASPPModule, self).__init__()\n self.stages = nn.Module()\n self.stages.add_module(\n 'c0',\n _ConvBatchNormReluBlock(in_channels, out_channels, 1, 1, 0, 1, bn_type=bn_type),\n )\n for i, (dilation, padding) in enumerate(zip(pyramids, pyramids)):\n self.stages.add_module(\n 'c{}'.format(i + 1),\n _ConvBatchNormReluBlock(in_channels, out_channels, 3, 1, padding, dilation, bn_type=bn_type),\n )\n self.imagepool = nn.Sequential(\n nn.AdaptiveAvgPool2d(1),\n _ConvBatchNormReluBlock(in_channels, out_channels, 1, 1, 0, 1, bn_type=bn_type)\n )\n\n def forward(self, x):\n h = self.imagepool(x)\n h = [F.interpolate(h, size=x.shape[2:], mode='bilinear', align_corners=False)]\n for stage in self.stages.children():\n h += [stage(x)]\n h = torch.cat(h, dim=1)\n return h\n\n\nclass DeepLabV3(nn.Module):\n def __init__(self, configer):\n super(DeepLabV3, self).__init__()\n self.configer = configer\n self.backbone = BackboneSelector(configer).get_backbone()\n \n self.backbone = nn.Sequential(\n self.backbone.conv1, self.backbone.bn1, self.backbone.relu1,\n self.backbone.conv2, self.backbone.bn2, self.backbone.relu2,\n self.backbone.conv3, self.backbone.bn3, self.backbone.relu3, self.backbone.maxpool,\n self.backbone.layer1, self.backbone.layer2, self.backbone.layer3\n )\n self.MG_features = _ResidualBlockMulGrid(inplanes=1024, midplanes=512,\n outplanes=2048, stride=1,\n dilation=2, mulgrid=self.configer.get('network', 'multi_grid'),\n bn_type=self.configer.get('network', 'bn_type'))\n pyramids = [6, 12, 18]\n self.aspp = _ASPPModule(2048, 256, pyramids, bn_type=self.configer.get('network', 'bn_type'))\n\n self.fc1 = nn.Sequential(nn.Conv2d(1280, 256, kernel_size=1), # 256 * 5 = 1280\n ModuleHelper.BatchNorm2d(bn_type=self.configer.get('network', 'bn_type'))(256))\n self.fc2 = nn.Conv2d(256, self.configer.get('data', 'num_classes'), kernel_size=1)\n\n def forward(self, x):\n x = self.backbone(x)\n x = self.MG_features(x)\n x = self.aspp(x)\n x = self.fc1(x)\n x = self.fc2(x)\n x = F.interpolate(x, scale_factor=(16, 16), mode=\"bilinear\", align_corners=False)\n return x\n\n\nif __name__ == '__main__':\n model = DeepLabV3(20, multi_grid=[1, 2, 1])\n model.freeze_bn()\n model.eval()\n image = torch.autograd.Variable(torch.randn(1, 3, 512, 512), volatile=True)\n print(type(model.resnet_features))\n print (model(image).size())\n"}],"string":"[\n {\n \"alpha_fraction\": 0.572549045085907,\n \"alphanum_fraction\": 0.5976827144622803,\n \"avg_line_length\": 40.25,\n \"blob_id\": \"3a9452e31eea2cff051c8bb5d561703e54cf7159\",\n \"content_id\": \"e5769d34ba557c0a5369a78a724ff0a6038fe3ac\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5610,\n \"license_type\": \"permissive\",\n \"max_line_length\": 114,\n \"num_lines\": 136,\n \"path\": \"/models/seg/nets/deeplabv3.py\",\n \"repo_name\": \"hucongkun/PyTorchCV\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#!/usr/bin/env python\\n# -*- coding:utf-8 -*-\\n# Author: Donny You(youansheng@gmail.com)\\n# deeplabv3 res101 (synchronized BN version)\\n\\n\\nimport torch\\nimport torch.nn as nn\\nimport torch.nn.functional as F\\n\\nfrom models.backbones.backbone_selector import BackboneSelector\\nfrom models.tools.module_helper import ModuleHelper\\n\\n\\nclass _ConvBatchNormReluBlock(nn.Module):\\n def __init__(self, inplanes, outplanes, kernel_size, stride, padding, dilation, relu=True, bn_type=None):\\n super(_ConvBatchNormReluBlock, self).__init__()\\n self.relu = relu\\n self.conv = nn.Conv2d(in_channels=inplanes,out_channels=outplanes,\\n kernel_size=kernel_size, stride=stride, padding = padding,\\n dilation = dilation, bias=False)\\n self.bn = ModuleHelper.BatchNorm2d(bn_type=bn_type)(num_features=outplanes)\\n self.relu_f = nn.ReLU()\\n\\n def forward(self, x):\\n x = self.bn(self.conv(x))\\n if self.relu:\\n x = self.relu_f(x)\\n\\n return x\\n\\n\\nclass _Bottleneck(nn.Module):\\n def __init__(self, inplanes, midplanes, outplanes, stride, dilation, downsample, bn_type):\\n super(_Bottleneck, self).__init__()\\n self.reduce = _ConvBatchNormReluBlock(inplanes, midplanes, 1, stride, 0, 1, bn_type=bn_type)\\n self.conv3x3 = _ConvBatchNormReluBlock(midplanes, midplanes, 3, 1, dilation, dilation, bn_type=bn_type)\\n self.increase = _ConvBatchNormReluBlock(midplanes, outplanes, 1, 1, 0, 1, relu=False, bn_type=bn_type)\\n self.downsample = downsample\\n if self.downsample:\\n self.proj = _ConvBatchNormReluBlock(inplanes, outplanes, 1, stride, 0, 1, relu=False, bn_type=bn_type)\\n\\n def forward(self, x):\\n h = self.reduce(x)\\n h = self.conv3x3(h)\\n h = self.increase(h)\\n if self.downsample:\\n h += self.proj(x)\\n else:\\n h += x\\n return F.relu(h)\\n\\n\\nclass _ResidualBlockMulGrid(nn.Module):\\n def __init__(self, inplanes, midplanes, outplanes, stride, dilation, mulgrid=[1,2,1], bn_type=None):\\n super(_ResidualBlockMulGrid, self).__init__()\\n self.block1 = _Bottleneck(inplanes, midplanes, outplanes, stride, dilation * mulgrid[0], True, bn_type)\\n self.block2 = _Bottleneck(outplanes, midplanes, outplanes, 1, dilation * mulgrid[1], False, bn_type)\\n self.block3 = _Bottleneck(outplanes, midplanes, outplanes, 1, dilation * mulgrid[2], False, bn_type)\\n\\n def forward(self, x):\\n x = self.block1(x)\\n x = self.block2(x)\\n x = self.block3(x)\\n return x\\n\\n\\nclass _ASPPModule(nn.Module):\\n \\\"\\\"\\\"Atrous Spatial Pyramid Pooling module with image pool (Deeplabv3)\\\"\\\"\\\"\\n\\n def __init__(self, in_channels, out_channels, pyramids, bn_type):\\n super(_ASPPModule, self).__init__()\\n self.stages = nn.Module()\\n self.stages.add_module(\\n 'c0',\\n _ConvBatchNormReluBlock(in_channels, out_channels, 1, 1, 0, 1, bn_type=bn_type),\\n )\\n for i, (dilation, padding) in enumerate(zip(pyramids, pyramids)):\\n self.stages.add_module(\\n 'c{}'.format(i + 1),\\n _ConvBatchNormReluBlock(in_channels, out_channels, 3, 1, padding, dilation, bn_type=bn_type),\\n )\\n self.imagepool = nn.Sequential(\\n nn.AdaptiveAvgPool2d(1),\\n _ConvBatchNormReluBlock(in_channels, out_channels, 1, 1, 0, 1, bn_type=bn_type)\\n )\\n\\n def forward(self, x):\\n h = self.imagepool(x)\\n h = [F.interpolate(h, size=x.shape[2:], mode='bilinear', align_corners=False)]\\n for stage in self.stages.children():\\n h += [stage(x)]\\n h = torch.cat(h, dim=1)\\n return h\\n\\n\\nclass DeepLabV3(nn.Module):\\n def __init__(self, configer):\\n super(DeepLabV3, self).__init__()\\n self.configer = configer\\n self.backbone = BackboneSelector(configer).get_backbone()\\n \\n self.backbone = nn.Sequential(\\n self.backbone.conv1, self.backbone.bn1, self.backbone.relu1,\\n self.backbone.conv2, self.backbone.bn2, self.backbone.relu2,\\n self.backbone.conv3, self.backbone.bn3, self.backbone.relu3, self.backbone.maxpool,\\n self.backbone.layer1, self.backbone.layer2, self.backbone.layer3\\n )\\n self.MG_features = _ResidualBlockMulGrid(inplanes=1024, midplanes=512,\\n outplanes=2048, stride=1,\\n dilation=2, mulgrid=self.configer.get('network', 'multi_grid'),\\n bn_type=self.configer.get('network', 'bn_type'))\\n pyramids = [6, 12, 18]\\n self.aspp = _ASPPModule(2048, 256, pyramids, bn_type=self.configer.get('network', 'bn_type'))\\n\\n self.fc1 = nn.Sequential(nn.Conv2d(1280, 256, kernel_size=1), # 256 * 5 = 1280\\n ModuleHelper.BatchNorm2d(bn_type=self.configer.get('network', 'bn_type'))(256))\\n self.fc2 = nn.Conv2d(256, self.configer.get('data', 'num_classes'), kernel_size=1)\\n\\n def forward(self, x):\\n x = self.backbone(x)\\n x = self.MG_features(x)\\n x = self.aspp(x)\\n x = self.fc1(x)\\n x = self.fc2(x)\\n x = F.interpolate(x, scale_factor=(16, 16), mode=\\\"bilinear\\\", align_corners=False)\\n return x\\n\\n\\nif __name__ == '__main__':\\n model = DeepLabV3(20, multi_grid=[1, 2, 1])\\n model.freeze_bn()\\n model.eval()\\n image = torch.autograd.Variable(torch.randn(1, 3, 512, 512), volatile=True)\\n print(type(model.resnet_features))\\n print (model(image).size())\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":1,"string":"1"}}},{"rowIdx":2976997,"cells":{"repo_name":{"kind":"string","value":"achescheir/mystery-word"},"repo_url":{"kind":"string","value":"https://github.com/achescheir/mystery-word"},"snapshot_id":{"kind":"string","value":"5147358986c6428ca2f0d10f92ae06e2eb6ce4a1"},"revision_id":{"kind":"string","value":"6305756f64fc6d2a59d8a7fd8f8dae2d10c63e11"},"directory_id":{"kind":"string","value":"943423f48ddd948014befdaebcdff872de0276da"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2021-01-10T14:52:29.539811","string":"2021-01-10T14:52:29.539811"},"revision_date":{"kind":"timestamp","value":"2016-04-04T02:59:35","string":"2016-04-04T02:59:35"},"committer_date":{"kind":"timestamp","value":"2016-04-04T02:59:35","string":"2016-04-04T02:59:35"},"github_id":{"kind":"number","value":55178805,"string":"55,178,805"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.574999988079071,"alphanum_fraction":0.5784313678741455,"avg_line_length":34.78947448730469,"blob_id":"185be4bb89830ce875dd22cfcfc6ffc674ec0193","content_id":"5b5855a20c32aa1915fcf00d9e34ff7916576874","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2040,"license_type":"no_license","max_line_length":115,"num_lines":57,"path":"/evil_mystery_word_test.py","repo_name":"achescheir/mystery-word","src_encoding":"UTF-8","text":"import unittest\nimport evil_mystery_word as emw\n\nclass TestMysteryWord(unittest.TestCase):\n #\n # def test_assert_true(self):\n # self.assertTrue(True)\n #\n # def test_assert_false(self):\n # self.assertFalse(False)\n #\n # def test_assert_equal(self):\n # self.assertEqual(1, 1)\n #\n # def test_assert_not_equal(self):\n # self.assertNotEqual(1, 0)\n def test_get_signature_empty(self):\n self.assertEqual(emw.get_signature('battleship',[]),'__________')\n\n def test_get_signature_partial(self):\n self.assertEqual(emw.get_signature('battleship',['b','a','t','h']),'batt___h__')\n\n def test_get_signature_full(self):\n self.assertEqual(emw.get_signature('battleship',[x for x in 'battleship']),'battleship')\n\n def test_get_signature_mixed(self):\n self.assertEqual(emw.get_signature('battleship',['b','x','t','h']),'b_tt___h__')\n\n def test_get_all_signatures(self):\n self.assertEqual(emw.get_all_signatures(['bat','cat','bam'],['a','t']),{'_at':['bat','cat'],'_a_':['bam']})\n\n def test_evaluate_guess(self):\n test_list =['bat','cat','bam']\n test_guesses = ['a','t']\n self.assertEqual(emw.evaluate_guess(test_list,test_guesses),'_at')\n\n def test_get_candidates(self):\n test_list =['bat','cat','bam']\n test_guesses = ['a','t']\n self.assertEqual(emw.get_candidates(test_list,test_guesses,'_at'),['bat','cat'])\n self.assertEqual(test_list,['bat','cat','bam'])\n\n def test_get_misses(self):\n self.assertEqual(emw.get_misses(['a','b','c','d'],'ab_'),['c','d'])\n\n def test_is_round_over_timeout(self):\n self.assertTrue(emw.is_round_over(['bat','cat','rat'],['a','t','q','w','e'],3))\n\n def test_is_round_over_guessed(self):\n self.assertTrue(emw.is_round_over(['bat','cat','rat'],['a','t','q','w','b'],3))\n\n def test_is_round_over_no(self):\n self.assertFalse(emw.is_round_over(['bat','cat','rat'],['a','t','q','w'],3))\n\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.6170997619628906,"alphanum_fraction":0.6201173663139343,"avg_line_length":40.13793182373047,"blob_id":"0f7907c5b0a7288efc6604db7094b1b2b0e1ac91","content_id":"f090ddfc0116143e5fdc9a774cc5535de5316c2e","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":5965,"license_type":"no_license","max_line_length":106,"num_lines":145,"path":"/mystery_word_test.py","repo_name":"achescheir/mystery-word","src_encoding":"UTF-8","text":"import unittest\nimport mystery_word as mw\n\nclass TestMysteryWord(unittest.TestCase):\n #\n # def test_assert_true(self):\n # self.assertTrue(True)\n #\n # def test_assert_false(self):\n # self.assertFalse(False)\n #\n # def test_assert_equal(self):\n # self.assertEqual(1, 1)\n #\n # def test_assert_not_equal(self):\n # self.assertNotEqual(1, 0)\n def test_parse_difficulty(self):\n self.assertEqual(mw.parse_difficulty(''),'')\n self.assertEqual(mw.parse_difficulty('e'),'easy')\n self.assertEqual(mw.parse_difficulty('n'),'normal')\n self.assertEqual(mw.parse_difficulty('h'),'hard')\n self.assertEqual(mw.parse_difficulty('easy'),'easy')\n self.assertEqual(mw.parse_difficulty('normal'),'normal')\n self.assertEqual(mw.parse_difficulty('hard'),'hard')\n self.assertEqual(mw.parse_difficulty('E'),'easy')\n self.assertEqual(mw.parse_difficulty('N'),'normal')\n self.assertEqual(mw.parse_difficulty('H'),'hard')\n self.assertEqual(mw.parse_difficulty('Easy'),'easy')\n self.assertEqual(mw.parse_difficulty('Normal'),'normal')\n self.assertEqual(mw.parse_difficulty('Hard'),'hard')\n self.assertEqual(mw.parse_difficulty('EASY'),'easy')\n self.assertEqual(mw.parse_difficulty('NORMAL'),'normal')\n self.assertEqual(mw.parse_difficulty('HARD'),'hard')\n self.assertEqual(mw.parse_difficulty('b'),'')\n self.assertEqual(mw.parse_difficulty('C'),'')\n self.assertEqual(mw.parse_difficulty('1'),'')\n self.assertEqual(mw.parse_difficulty('.'),'')\n self.assertEqual(mw.parse_difficulty('sdf23'),'')\n self.assertEqual(mw.parse_difficulty('Exit'),'easy')\n self.assertEqual(mw.parse_difficulty('escape'),'easy')\n self.assertEqual(mw.parse_difficulty('no'),'normal')\n self.assertEqual(mw.parse_difficulty(' '),'')\n self.assertEqual(mw.parse_difficulty('\\t'),'')\n self.assertEqual(mw.parse_difficulty('\\n'),'')\n self.assertEqual(mw.parse_difficulty('two words'),'')\n self.assertEqual(mw.parse_difficulty('_'),'')\n self.assertEqual(mw.parse_difficulty('\\\\'),'')\n\n def test_read_dictionary(self):\n word_list = mw.read_dictionary()\n self.assertTrue(len(word_list)>0)\n self.assertTrue(len(word_list[0])>0)\n self.assertTrue(str(word_list[0]) is word_list[0])\n\n def test_get_sublist_easy(self):\n word_list=['easy','Easy','EASY','normals',\"Normals\",\"NORMALS\",\"superhard\",\"Superhard\",\"SUPERHARD\"]\n self.assertEqual(mw.get_sublist(word_list,'easy'),['easy','Easy','EASY'])\n\n def test_get_sublist_normal(self):\n word_list=['easy','Easy','EASY','normals',\"Normals\",\"NORMALS\",\"superhard\",\"Superhard\",\"SUPERHARD\"]\n self.assertEqual(mw.get_sublist(word_list,'normal'),['normals',\"Normals\",\"NORMALS\"])\n\n def test_get_sublist_hard(self):\n word_list=['easy','Easy','EASY','normals',\"Normals\",\"NORMALS\",\"superhard\",\"Superhard\",\"SUPERHARD\"]\n self.assertEqual(mw.get_sublist(word_list,'hard'),[\"superhard\",\"Superhard\",\"SUPERHARD\"])\n\n def test_get_word(self):\n self.assertEqual(mw.get_word(['EASY',\"EASY\"]),'easy')\n\n def test_get_wrong_guesses_form(self):\n self.assertEqual(mw.get_wrong_guesses_form(['a','b','c'],5),'[abc--]')\n\n def test_letter_is_in_collection_string(self):\n self.assertTrue(mw.letter_is_in_collection('s','sdfwfsdfw'))\n\n def test_letter_is_in_collection_list(self):\n self.assertTrue(mw.letter_is_in_collection('s',['s','d','f']))\n\n def test_letter_is_in_collection_false(self):\n self.assertFalse(mw.letter_is_in_collection('s','dfwfdfw'))\n\n def test_get_word_print_form(self):\n self.assertEqual(mw.get_word_print_form(\"goofy\",['o','y']),'_ O O _ Y')\n\n def test_cleanup_input_empty(self):\n self.assertEqual(mw.cleanup_input(''),'')\n\n def test_cleanup_input_too_long(self):\n self.assertEqual(mw.cleanup_input('asd'),\"\")\n\n def test_cleanup_input_capital(self):\n self.assertEqual(mw.cleanup_input('A'),'a')\n\n def test_cleanup_input_lowercase(self):\n self.assertEqual(mw.cleanup_input('a'),'a')\n\n def test_cleanup_input_number(self):\n self.assertEqual(mw.cleanup_input('9'),'')\n\n def test_word_is_guessed_simple(self):\n secret_word = 'apple'\n guesses = [x for x in secret_word]\n self.assertTrue(mw.is_word_guessed(secret_word,guesses))\n\n def test_word_is_guessed_capitalized(self):\n secret_word = 'Apple'\n guesses = [x.lower() for x in secret_word]\n self.assertTrue(mw.is_word_guessed(secret_word,guesses))\n\n def test_get_wrong_guesses_all(self):\n secret_word = 'apple'\n guesses = ['q','w','r','t','y','u','i','o']\n self.assertEqual(mw.get_wrong_guesses(secret_word, guesses),guesses)\n\n def test_get_wrong_guesses_some(self):\n secret_word = 'apple'\n guesses = ['q','w','r','t','y','u','i','o','p']\n self.assertEqual(mw.get_wrong_guesses(secret_word, guesses),guesses[:-1])\n\n def test_get_wrong_guesses_none(self):\n secret_word = 'apple'\n guesses = ['p']\n self.assertEqual(mw.get_wrong_guesses(secret_word, guesses),[])\n\n def test_time_up_too_many_misses(self):\n secret_word = 'apple'\n guesses = ['q','w','r','t','y','u','i','o']\n max_misses = 8\n self.assertTrue(mw.is_time_up(secret_word,guesses,max_misses))\n\n def test_round_over_too_many_misses(self):\n secret_word = 'apple'\n guesses = ['q','w','r','t','y','u','i','o']\n max_misses = 8\n self.assertTrue(mw.is_round_over(secret_word,guesses,max_misses))\n\n\n def test_round_over_guessed(self):\n secret_word = 'apple'\n guesses = [x for x in secret_word]\n max_misses = 8\n self.assertTrue(mw.is_round_over(secret_word,guesses,max_misses))\n\nif __name__ == '__main__':\n unittest.main()\n"},{"alpha_fraction":0.6496773958206177,"alphanum_fraction":0.6519354581832886,"avg_line_length":32.69565200805664,"blob_id":"1b9cc492c0bc1a715daa333dbbc5f67f2bf1b3fe","content_id":"62ae4df16b8f46e9ec9545a8d5144f865b0643d5","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":3100,"license_type":"no_license","max_line_length":98,"num_lines":92,"path":"/evil_mystery_word.py","repo_name":"achescheir/mystery-word","src_encoding":"UTF-8","text":"import mystery_word as mw\n\n\n# For unittesting\ndef get_signature(candidate_word, guesses):\n signature = []\n for each_letter in candidate_word:\n if each_letter in guesses:\n signature.append(each_letter)\n else:\n signature.append('_')\n return ''.join(signature)\n\ndef get_all_signatures(candidate_word_list,guesses):\n signatures = {}\n for each_word in candidate_word_list:\n signature = get_signature(each_word, guesses)\n if signature in signatures:\n signatures[signature].append(each_word)\n else:\n signatures[signature] = [each_word]\n return signatures\n\ndef evaluate_guess(candidate_word_list,guesses):\n signatures = get_all_signatures(candidate_word_list,guesses)\n count = 0\n signature = ''\n for key in signatures.keys():\n if len(signatures[key]) >= count:\n count = len(signatures[key])\n signature = key\n return signature\n\ndef get_candidates(candidate_word_list,guesses,signature):\n return get_all_signatures(candidate_word_list,guesses)[signature]\n\ndef get_misses(guesses, signature):\n return [x for x in guesses if x not in signature]\n\ndef is_round_over(candidate_word_list, guesses, max_misses):\n if len(candidate_word_list) ==0:\n return True\n word_signature = evaluate_guess(candidate_word_list,guesses)\n if \"_\" not in word_signature:\n return True\n misses = get_misses(guesses,word_signature)\n if len(misses) >= max_misses:\n return True\n return False\n\n#NOT SUBJECT TO UNIT TESTING\ndef play_a_turn(candidate_word_list, guesses, max_misses):\n signature = evaluate_guess(candidate_word_list,guesses)\n mw.display_status(' '.join(signature),get_misses(guesses,signature),max_misses,len(guesses)+1)\n guesses.append(mw.get_good_guess(guesses))\n signature = evaluate_guess(candidate_word_list,guesses)\n return get_candidates(candidate_word_list, guesses, signature)\n\ndef finish_round(candidate_word_list, guesses):\n if '_' not in evaluate_guess(candidate_word_list,guesses):\n print(\"You win!\")\n else:\n print(\"You lose. My word was {}.\".format(mw.get_word(candidate_word_list).upper()))\n\n\ndef play_game_round(candidate_word_list):\n max_misses = 10\n length = 4\n candidate_word_list = [x for x in candidate_word_list if len(x) == length]\n guesses = []\n while True:\n if is_round_over(candidate_word_list, guesses, max_misses):\n signature = evaluate_guess(candidate_word_list,guesses)\n mw.display_status(signature,get_misses(guesses,signature),max_misses,len(guesses)+1)\n finish_round(candidate_word_list,guesses)\n break\n else:\n candidate_word_list = play_a_turn(candidate_word_list, guesses, max_misses)\n\n\ndef main():\n word_list = mw.read_dictionary()\n\n while True:\n play_game_round([x.lower() for x in word_list])\n if not mw.should_play_again():\n print(\"Thanks for playing.\")\n break\n print(\"Goodbye.\")\n\nif __name__ == '__main__':\n main()\n"},{"alpha_fraction":0.79756098985672,"alphanum_fraction":0.8073170781135559,"avg_line_length":50.25,"blob_id":"f1ef299d1688b218751f1944ebc1b32acd203441","content_id":"5ca461dce9bd2c01c935a50d172f893e5f142c8f","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Markdown","length_bytes":410,"license_type":"no_license","max_line_length":80,"num_lines":8,"path":"/README.md","repo_name":"achescheir/mystery-word","src_encoding":"UTF-8","text":"# mystery-word\nmystery-word plays a version of hangman. Difficulty is based on the length of\nwords chosen and the player is allowed 8 misses.\n# evil_mystery-word\nevil_mystery-word is a cheating version of hangman. The word is always 4 letters\nlong and the player is allowed 10 unsuccessful guesses but the game is much more\ndifficult than the regular version. Though the game does maintain plausible\nbehavior.\n"},{"alpha_fraction":0.6238727569580078,"alphanum_fraction":0.631087064743042,"avg_line_length":32.69613265991211,"blob_id":"23477a3506f97fdb5d217f267c0ec267fc5cd796","content_id":"4e177cbb5990396fbf96c6333b1629ba874a4c82","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":6099,"license_type":"no_license","max_line_length":128,"num_lines":181,"path":"/mystery_word.py","repo_name":"achescheir/mystery-word","src_encoding":"UTF-8","text":"import random\nimport os\nDICTIONARY_PATH = '/usr/share/dict/words'\n\n# I got the ordinal function from:\n# http://codereview.stackexchange.com/questions/41298/producing-ordinal-numbers\n# I would probably not have thought to use the .get and would have filled in the\n# SUFFIXES dictionary but otherwise the code seems straight forward.\n# Comments were in the source.\nSUFFIXES = {1: 'st', 2: 'nd', 3: 'rd'}\ndef ordinal(num):\n # I'm checking for 10-20 because those are the digits that\n # don't follow the normal counting scheme.\n if 10 <= num % 100 <= 20:\n suffix = 'th'\n else:\n # the second parameter is a default.\n suffix = SUFFIXES.get(num % 10, 'th')\n return str(num) + suffix\n# Copied code ends here\n\n# SUBJECT TO UNIT TESTING\n\ndef parse_difficulty(user_input):\n if len(user_input) == 0:\n return ''\n elif user_input[0].lower() == 'e':\n return 'easy'\n elif user_input[0].lower() == 'n':\n return 'normal'\n elif user_input[0].lower() == 'h':\n return 'hard'\n else:\n return ''\n\ndef get_sublist(word_list,difficulty):\n if difficulty == 'easy':\n return [x for x in word_list if len(x) >=4 and len(x) <= 6]\n elif difficulty == \"normal\":\n return [x for x in word_list if len(x) >=6 and len(x) <= 8]\n elif difficulty == \"hard\":\n return [x for x in word_list if len(x) >=8]\n else:\n raise ValueError(\"{} is not a valid difficulty; should be 'easy','normal', or 'hard'.\")\n\ndef get_word(sub_list):\n return random.choice(sub_list).lower()\n\ndef get_wrong_guesses_form(wrong_guesses, max_misses):\n return('['+''.join(wrong_guesses)+(max_misses-len(wrong_guesses))*'-'+']')\n\ndef letter_is_in_collection(letter, collection, case = \"insensitive\" ):\n if case == \"insensitive\":\n return letter.lower() in collection or letter.upper() in collection\n else:\n return letter in collection\n\ndef get_word_print_form(secret_word, guesses):\n print_form = []\n for each_letter in secret_word:\n if letter_is_in_collection(each_letter,guesses):\n print_form.append(each_letter.upper())\n else:\n print_form.append(\"_\")\n return ' '.join(print_form)\n\ndef cleanup_input(user_input):\n if len(user_input) == 1:\n if user_input.isalpha():\n return user_input.lower()\n return ''\n\ndef is_word_guessed(secret_word, guesses):\n for each_letter in secret_word:\n if not letter_is_in_collection(each_letter, guesses):\n return False\n return True\n\ndef get_wrong_guesses(secret_word, guesses):\n wrong_guesses = []\n for each_guess in guesses:\n if not letter_is_in_collection(each_guess, secret_word):\n wrong_guesses.append(each_guess)\n return wrong_guesses\n\ndef is_time_up(secret_word, guesses, max_misses):\n return len(get_wrong_guesses(secret_word, guesses)) >= max_misses\n\n\ndef is_round_over(secret_word, guesses, max_misses):\n return is_word_guessed(secret_word, guesses) or is_time_up(secret_word, guesses, max_misses)\n\n#NOT SUBJECT TO UNIT TESTING\n\ndef get_difficulty():\n os.system('clear')\n user_input = input(\"Please Select a difficulty: (E)asy, (N)ormal, or (H)ard. \")\n difficulty = parse_difficulty(user_input)\n if len(difficulty) >0:\n return difficulty\n else:\n print(\"I'm sorry that is not a valid selection.\")\n return get_difficulty()\n\ndef read_dictionary():\n word_list = []\n with open(DICTIONARY_PATH, 'r') as word_file:\n for each_word in word_file:\n word_list.append(each_word.strip())\n return word_list\n\ndef start_round(word_list):\n guesses = []\n difficulty = get_difficulty()\n secret_word = get_word(get_sublist(word_list,difficulty))\n return secret_word, guesses, difficulty\n\ndef display_status(word_signature, wrong_guesses, max_misses, number_of_guess):\n os.system(\"clear\")\n print(10*'-'+\"Guess #{}\".format(number_of_guess)+10*'-'+'\\n')\n print(\"The word so far> \"+word_signature+'\\n')\n print(\"Misses>\"+get_wrong_guesses_form(wrong_guesses,max_misses)+'\\n')\n\ndef get_good_guess(guesses):\n while True:\n user_input = input(\"What's your {} guess? \".format(ordinal(len(guesses)+1)))\n cleaned_input = cleanup_input(user_input)\n if cleaned_input:\n if letter_is_in_collection(cleaned_input,guesses):\n print(\"You already guessed {}. Please try again.\".format(cleaned_input))\n else:\n return cleaned_input\n break\n else:\n print(\"I'm sorry {} is not valid. Please enter exactly 1 letter.\".format(user_input))\n\ndef play_a_turn(secret_word, guesses, max_misses):\n display_status(get_word_print_form(secret_word, guesses),get_wrong_guesses(secret_word,guesses), max_misses, len(guesses)+1)\n guesses.append(get_good_guess(guesses))\n\ndef finish_round(secret_word, guesses, max_misses):\n display_status(get_word_print_form(secret_word, guesses),get_wrong_guesses(secret_word,guesses), max_misses,len(guesses)+1)\n if is_word_guessed(secret_word, guesses):\n print(\"You win!\\n\")\n else:\n print(\"Sorry time's up, you lose.\")\n print(\"The word was: '{}'\\n\".format(secret_word.upper()))\n\n\ndef play_game_round(word_list):\n secret_word, guesses, difficulty = start_round(word_list)\n max_misses = 8\n while True:\n if is_round_over(secret_word, guesses, max_misses):\n finish_round(secret_word, guesses, max_misses)\n break\n else:\n play_a_turn(secret_word, guesses, max_misses)\n\ndef should_play_again():\n user_input = input(\"Do you want to play again? (y/N)\")\n if len(user_input) == 0 or user_input[0].lower() == 'n':\n return False\n elif user_input[0].lower() == 'y':\n return True\n else:\n return should_play_again()\n\ndef main():\n word_list = read_dictionary()\n while True:\n play_game_round(word_list)\n if not should_play_again():\n print(\"\\nThanks for playing.\")\n break\n print(\"Goodbye.\")\n\n\n\nif __name__ == '__main__':\n main()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.574999988079071,\n \"alphanum_fraction\": 0.5784313678741455,\n \"avg_line_length\": 34.78947448730469,\n \"blob_id\": \"185be4bb89830ce875dd22cfcfc6ffc674ec0193\",\n \"content_id\": \"5b5855a20c32aa1915fcf00d9e34ff7916576874\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2040,\n \"license_type\": \"no_license\",\n \"max_line_length\": 115,\n \"num_lines\": 57,\n \"path\": \"/evil_mystery_word_test.py\",\n \"repo_name\": \"achescheir/mystery-word\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import unittest\\nimport evil_mystery_word as emw\\n\\nclass TestMysteryWord(unittest.TestCase):\\n #\\n # def test_assert_true(self):\\n # self.assertTrue(True)\\n #\\n # def test_assert_false(self):\\n # self.assertFalse(False)\\n #\\n # def test_assert_equal(self):\\n # self.assertEqual(1, 1)\\n #\\n # def test_assert_not_equal(self):\\n # self.assertNotEqual(1, 0)\\n def test_get_signature_empty(self):\\n self.assertEqual(emw.get_signature('battleship',[]),'__________')\\n\\n def test_get_signature_partial(self):\\n self.assertEqual(emw.get_signature('battleship',['b','a','t','h']),'batt___h__')\\n\\n def test_get_signature_full(self):\\n self.assertEqual(emw.get_signature('battleship',[x for x in 'battleship']),'battleship')\\n\\n def test_get_signature_mixed(self):\\n self.assertEqual(emw.get_signature('battleship',['b','x','t','h']),'b_tt___h__')\\n\\n def test_get_all_signatures(self):\\n self.assertEqual(emw.get_all_signatures(['bat','cat','bam'],['a','t']),{'_at':['bat','cat'],'_a_':['bam']})\\n\\n def test_evaluate_guess(self):\\n test_list =['bat','cat','bam']\\n test_guesses = ['a','t']\\n self.assertEqual(emw.evaluate_guess(test_list,test_guesses),'_at')\\n\\n def test_get_candidates(self):\\n test_list =['bat','cat','bam']\\n test_guesses = ['a','t']\\n self.assertEqual(emw.get_candidates(test_list,test_guesses,'_at'),['bat','cat'])\\n self.assertEqual(test_list,['bat','cat','bam'])\\n\\n def test_get_misses(self):\\n self.assertEqual(emw.get_misses(['a','b','c','d'],'ab_'),['c','d'])\\n\\n def test_is_round_over_timeout(self):\\n self.assertTrue(emw.is_round_over(['bat','cat','rat'],['a','t','q','w','e'],3))\\n\\n def test_is_round_over_guessed(self):\\n self.assertTrue(emw.is_round_over(['bat','cat','rat'],['a','t','q','w','b'],3))\\n\\n def test_is_round_over_no(self):\\n self.assertFalse(emw.is_round_over(['bat','cat','rat'],['a','t','q','w'],3))\\n\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.6170997619628906,\n \"alphanum_fraction\": 0.6201173663139343,\n \"avg_line_length\": 40.13793182373047,\n \"blob_id\": \"0f7907c5b0a7288efc6604db7094b1b2b0e1ac91\",\n \"content_id\": \"f090ddfc0116143e5fdc9a774cc5535de5316c2e\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 5965,\n \"license_type\": \"no_license\",\n \"max_line_length\": 106,\n \"num_lines\": 145,\n \"path\": \"/mystery_word_test.py\",\n \"repo_name\": \"achescheir/mystery-word\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import unittest\\nimport mystery_word as mw\\n\\nclass TestMysteryWord(unittest.TestCase):\\n #\\n # def test_assert_true(self):\\n # self.assertTrue(True)\\n #\\n # def test_assert_false(self):\\n # self.assertFalse(False)\\n #\\n # def test_assert_equal(self):\\n # self.assertEqual(1, 1)\\n #\\n # def test_assert_not_equal(self):\\n # self.assertNotEqual(1, 0)\\n def test_parse_difficulty(self):\\n self.assertEqual(mw.parse_difficulty(''),'')\\n self.assertEqual(mw.parse_difficulty('e'),'easy')\\n self.assertEqual(mw.parse_difficulty('n'),'normal')\\n self.assertEqual(mw.parse_difficulty('h'),'hard')\\n self.assertEqual(mw.parse_difficulty('easy'),'easy')\\n self.assertEqual(mw.parse_difficulty('normal'),'normal')\\n self.assertEqual(mw.parse_difficulty('hard'),'hard')\\n self.assertEqual(mw.parse_difficulty('E'),'easy')\\n self.assertEqual(mw.parse_difficulty('N'),'normal')\\n self.assertEqual(mw.parse_difficulty('H'),'hard')\\n self.assertEqual(mw.parse_difficulty('Easy'),'easy')\\n self.assertEqual(mw.parse_difficulty('Normal'),'normal')\\n self.assertEqual(mw.parse_difficulty('Hard'),'hard')\\n self.assertEqual(mw.parse_difficulty('EASY'),'easy')\\n self.assertEqual(mw.parse_difficulty('NORMAL'),'normal')\\n self.assertEqual(mw.parse_difficulty('HARD'),'hard')\\n self.assertEqual(mw.parse_difficulty('b'),'')\\n self.assertEqual(mw.parse_difficulty('C'),'')\\n self.assertEqual(mw.parse_difficulty('1'),'')\\n self.assertEqual(mw.parse_difficulty('.'),'')\\n self.assertEqual(mw.parse_difficulty('sdf23'),'')\\n self.assertEqual(mw.parse_difficulty('Exit'),'easy')\\n self.assertEqual(mw.parse_difficulty('escape'),'easy')\\n self.assertEqual(mw.parse_difficulty('no'),'normal')\\n self.assertEqual(mw.parse_difficulty(' '),'')\\n self.assertEqual(mw.parse_difficulty('\\\\t'),'')\\n self.assertEqual(mw.parse_difficulty('\\\\n'),'')\\n self.assertEqual(mw.parse_difficulty('two words'),'')\\n self.assertEqual(mw.parse_difficulty('_'),'')\\n self.assertEqual(mw.parse_difficulty('\\\\\\\\'),'')\\n\\n def test_read_dictionary(self):\\n word_list = mw.read_dictionary()\\n self.assertTrue(len(word_list)>0)\\n self.assertTrue(len(word_list[0])>0)\\n self.assertTrue(str(word_list[0]) is word_list[0])\\n\\n def test_get_sublist_easy(self):\\n word_list=['easy','Easy','EASY','normals',\\\"Normals\\\",\\\"NORMALS\\\",\\\"superhard\\\",\\\"Superhard\\\",\\\"SUPERHARD\\\"]\\n self.assertEqual(mw.get_sublist(word_list,'easy'),['easy','Easy','EASY'])\\n\\n def test_get_sublist_normal(self):\\n word_list=['easy','Easy','EASY','normals',\\\"Normals\\\",\\\"NORMALS\\\",\\\"superhard\\\",\\\"Superhard\\\",\\\"SUPERHARD\\\"]\\n self.assertEqual(mw.get_sublist(word_list,'normal'),['normals',\\\"Normals\\\",\\\"NORMALS\\\"])\\n\\n def test_get_sublist_hard(self):\\n word_list=['easy','Easy','EASY','normals',\\\"Normals\\\",\\\"NORMALS\\\",\\\"superhard\\\",\\\"Superhard\\\",\\\"SUPERHARD\\\"]\\n self.assertEqual(mw.get_sublist(word_list,'hard'),[\\\"superhard\\\",\\\"Superhard\\\",\\\"SUPERHARD\\\"])\\n\\n def test_get_word(self):\\n self.assertEqual(mw.get_word(['EASY',\\\"EASY\\\"]),'easy')\\n\\n def test_get_wrong_guesses_form(self):\\n self.assertEqual(mw.get_wrong_guesses_form(['a','b','c'],5),'[abc--]')\\n\\n def test_letter_is_in_collection_string(self):\\n self.assertTrue(mw.letter_is_in_collection('s','sdfwfsdfw'))\\n\\n def test_letter_is_in_collection_list(self):\\n self.assertTrue(mw.letter_is_in_collection('s',['s','d','f']))\\n\\n def test_letter_is_in_collection_false(self):\\n self.assertFalse(mw.letter_is_in_collection('s','dfwfdfw'))\\n\\n def test_get_word_print_form(self):\\n self.assertEqual(mw.get_word_print_form(\\\"goofy\\\",['o','y']),'_ O O _ Y')\\n\\n def test_cleanup_input_empty(self):\\n self.assertEqual(mw.cleanup_input(''),'')\\n\\n def test_cleanup_input_too_long(self):\\n self.assertEqual(mw.cleanup_input('asd'),\\\"\\\")\\n\\n def test_cleanup_input_capital(self):\\n self.assertEqual(mw.cleanup_input('A'),'a')\\n\\n def test_cleanup_input_lowercase(self):\\n self.assertEqual(mw.cleanup_input('a'),'a')\\n\\n def test_cleanup_input_number(self):\\n self.assertEqual(mw.cleanup_input('9'),'')\\n\\n def test_word_is_guessed_simple(self):\\n secret_word = 'apple'\\n guesses = [x for x in secret_word]\\n self.assertTrue(mw.is_word_guessed(secret_word,guesses))\\n\\n def test_word_is_guessed_capitalized(self):\\n secret_word = 'Apple'\\n guesses = [x.lower() for x in secret_word]\\n self.assertTrue(mw.is_word_guessed(secret_word,guesses))\\n\\n def test_get_wrong_guesses_all(self):\\n secret_word = 'apple'\\n guesses = ['q','w','r','t','y','u','i','o']\\n self.assertEqual(mw.get_wrong_guesses(secret_word, guesses),guesses)\\n\\n def test_get_wrong_guesses_some(self):\\n secret_word = 'apple'\\n guesses = ['q','w','r','t','y','u','i','o','p']\\n self.assertEqual(mw.get_wrong_guesses(secret_word, guesses),guesses[:-1])\\n\\n def test_get_wrong_guesses_none(self):\\n secret_word = 'apple'\\n guesses = ['p']\\n self.assertEqual(mw.get_wrong_guesses(secret_word, guesses),[])\\n\\n def test_time_up_too_many_misses(self):\\n secret_word = 'apple'\\n guesses = ['q','w','r','t','y','u','i','o']\\n max_misses = 8\\n self.assertTrue(mw.is_time_up(secret_word,guesses,max_misses))\\n\\n def test_round_over_too_many_misses(self):\\n secret_word = 'apple'\\n guesses = ['q','w','r','t','y','u','i','o']\\n max_misses = 8\\n self.assertTrue(mw.is_round_over(secret_word,guesses,max_misses))\\n\\n\\n def test_round_over_guessed(self):\\n secret_word = 'apple'\\n guesses = [x for x in secret_word]\\n max_misses = 8\\n self.assertTrue(mw.is_round_over(secret_word,guesses,max_misses))\\n\\nif __name__ == '__main__':\\n unittest.main()\\n\"\n },\n {\n \"alpha_fraction\": 0.6496773958206177,\n \"alphanum_fraction\": 0.6519354581832886,\n \"avg_line_length\": 32.69565200805664,\n \"blob_id\": \"1b9cc492c0bc1a715daa333dbbc5f67f2bf1b3fe\",\n \"content_id\": \"62ae4df16b8f46e9ec9545a8d5144f865b0643d5\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 3100,\n \"license_type\": \"no_license\",\n \"max_line_length\": 98,\n \"num_lines\": 92,\n \"path\": \"/evil_mystery_word.py\",\n \"repo_name\": \"achescheir/mystery-word\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import mystery_word as mw\\n\\n\\n# For unittesting\\ndef get_signature(candidate_word, guesses):\\n signature = []\\n for each_letter in candidate_word:\\n if each_letter in guesses:\\n signature.append(each_letter)\\n else:\\n signature.append('_')\\n return ''.join(signature)\\n\\ndef get_all_signatures(candidate_word_list,guesses):\\n signatures = {}\\n for each_word in candidate_word_list:\\n signature = get_signature(each_word, guesses)\\n if signature in signatures:\\n signatures[signature].append(each_word)\\n else:\\n signatures[signature] = [each_word]\\n return signatures\\n\\ndef evaluate_guess(candidate_word_list,guesses):\\n signatures = get_all_signatures(candidate_word_list,guesses)\\n count = 0\\n signature = ''\\n for key in signatures.keys():\\n if len(signatures[key]) >= count:\\n count = len(signatures[key])\\n signature = key\\n return signature\\n\\ndef get_candidates(candidate_word_list,guesses,signature):\\n return get_all_signatures(candidate_word_list,guesses)[signature]\\n\\ndef get_misses(guesses, signature):\\n return [x for x in guesses if x not in signature]\\n\\ndef is_round_over(candidate_word_list, guesses, max_misses):\\n if len(candidate_word_list) ==0:\\n return True\\n word_signature = evaluate_guess(candidate_word_list,guesses)\\n if \\\"_\\\" not in word_signature:\\n return True\\n misses = get_misses(guesses,word_signature)\\n if len(misses) >= max_misses:\\n return True\\n return False\\n\\n#NOT SUBJECT TO UNIT TESTING\\ndef play_a_turn(candidate_word_list, guesses, max_misses):\\n signature = evaluate_guess(candidate_word_list,guesses)\\n mw.display_status(' '.join(signature),get_misses(guesses,signature),max_misses,len(guesses)+1)\\n guesses.append(mw.get_good_guess(guesses))\\n signature = evaluate_guess(candidate_word_list,guesses)\\n return get_candidates(candidate_word_list, guesses, signature)\\n\\ndef finish_round(candidate_word_list, guesses):\\n if '_' not in evaluate_guess(candidate_word_list,guesses):\\n print(\\\"You win!\\\")\\n else:\\n print(\\\"You lose. My word was {}.\\\".format(mw.get_word(candidate_word_list).upper()))\\n\\n\\ndef play_game_round(candidate_word_list):\\n max_misses = 10\\n length = 4\\n candidate_word_list = [x for x in candidate_word_list if len(x) == length]\\n guesses = []\\n while True:\\n if is_round_over(candidate_word_list, guesses, max_misses):\\n signature = evaluate_guess(candidate_word_list,guesses)\\n mw.display_status(signature,get_misses(guesses,signature),max_misses,len(guesses)+1)\\n finish_round(candidate_word_list,guesses)\\n break\\n else:\\n candidate_word_list = play_a_turn(candidate_word_list, guesses, max_misses)\\n\\n\\ndef main():\\n word_list = mw.read_dictionary()\\n\\n while True:\\n play_game_round([x.lower() for x in word_list])\\n if not mw.should_play_again():\\n print(\\\"Thanks for playing.\\\")\\n break\\n print(\\\"Goodbye.\\\")\\n\\nif __name__ == '__main__':\\n main()\\n\"\n },\n {\n \"alpha_fraction\": 0.79756098985672,\n \"alphanum_fraction\": 0.8073170781135559,\n \"avg_line_length\": 50.25,\n \"blob_id\": \"f1ef299d1688b218751f1944ebc1b32acd203441\",\n \"content_id\": \"5ca461dce9bd2c01c935a50d172f893e5f142c8f\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Markdown\",\n \"length_bytes\": 410,\n \"license_type\": \"no_license\",\n \"max_line_length\": 80,\n \"num_lines\": 8,\n \"path\": \"/README.md\",\n \"repo_name\": \"achescheir/mystery-word\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"# mystery-word\\nmystery-word plays a version of hangman. Difficulty is based on the length of\\nwords chosen and the player is allowed 8 misses.\\n# evil_mystery-word\\nevil_mystery-word is a cheating version of hangman. The word is always 4 letters\\nlong and the player is allowed 10 unsuccessful guesses but the game is much more\\ndifficult than the regular version. Though the game does maintain plausible\\nbehavior.\\n\"\n },\n {\n \"alpha_fraction\": 0.6238727569580078,\n \"alphanum_fraction\": 0.631087064743042,\n \"avg_line_length\": 32.69613265991211,\n \"blob_id\": \"23477a3506f97fdb5d217f267c0ec267fc5cd796\",\n \"content_id\": \"4e177cbb5990396fbf96c6333b1629ba874a4c82\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 6099,\n \"license_type\": \"no_license\",\n \"max_line_length\": 128,\n \"num_lines\": 181,\n \"path\": \"/mystery_word.py\",\n \"repo_name\": \"achescheir/mystery-word\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import random\\nimport os\\nDICTIONARY_PATH = '/usr/share/dict/words'\\n\\n# I got the ordinal function from:\\n# http://codereview.stackexchange.com/questions/41298/producing-ordinal-numbers\\n# I would probably not have thought to use the .get and would have filled in the\\n# SUFFIXES dictionary but otherwise the code seems straight forward.\\n# Comments were in the source.\\nSUFFIXES = {1: 'st', 2: 'nd', 3: 'rd'}\\ndef ordinal(num):\\n # I'm checking for 10-20 because those are the digits that\\n # don't follow the normal counting scheme.\\n if 10 <= num % 100 <= 20:\\n suffix = 'th'\\n else:\\n # the second parameter is a default.\\n suffix = SUFFIXES.get(num % 10, 'th')\\n return str(num) + suffix\\n# Copied code ends here\\n\\n# SUBJECT TO UNIT TESTING\\n\\ndef parse_difficulty(user_input):\\n if len(user_input) == 0:\\n return ''\\n elif user_input[0].lower() == 'e':\\n return 'easy'\\n elif user_input[0].lower() == 'n':\\n return 'normal'\\n elif user_input[0].lower() == 'h':\\n return 'hard'\\n else:\\n return ''\\n\\ndef get_sublist(word_list,difficulty):\\n if difficulty == 'easy':\\n return [x for x in word_list if len(x) >=4 and len(x) <= 6]\\n elif difficulty == \\\"normal\\\":\\n return [x for x in word_list if len(x) >=6 and len(x) <= 8]\\n elif difficulty == \\\"hard\\\":\\n return [x for x in word_list if len(x) >=8]\\n else:\\n raise ValueError(\\\"{} is not a valid difficulty; should be 'easy','normal', or 'hard'.\\\")\\n\\ndef get_word(sub_list):\\n return random.choice(sub_list).lower()\\n\\ndef get_wrong_guesses_form(wrong_guesses, max_misses):\\n return('['+''.join(wrong_guesses)+(max_misses-len(wrong_guesses))*'-'+']')\\n\\ndef letter_is_in_collection(letter, collection, case = \\\"insensitive\\\" ):\\n if case == \\\"insensitive\\\":\\n return letter.lower() in collection or letter.upper() in collection\\n else:\\n return letter in collection\\n\\ndef get_word_print_form(secret_word, guesses):\\n print_form = []\\n for each_letter in secret_word:\\n if letter_is_in_collection(each_letter,guesses):\\n print_form.append(each_letter.upper())\\n else:\\n print_form.append(\\\"_\\\")\\n return ' '.join(print_form)\\n\\ndef cleanup_input(user_input):\\n if len(user_input) == 1:\\n if user_input.isalpha():\\n return user_input.lower()\\n return ''\\n\\ndef is_word_guessed(secret_word, guesses):\\n for each_letter in secret_word:\\n if not letter_is_in_collection(each_letter, guesses):\\n return False\\n return True\\n\\ndef get_wrong_guesses(secret_word, guesses):\\n wrong_guesses = []\\n for each_guess in guesses:\\n if not letter_is_in_collection(each_guess, secret_word):\\n wrong_guesses.append(each_guess)\\n return wrong_guesses\\n\\ndef is_time_up(secret_word, guesses, max_misses):\\n return len(get_wrong_guesses(secret_word, guesses)) >= max_misses\\n\\n\\ndef is_round_over(secret_word, guesses, max_misses):\\n return is_word_guessed(secret_word, guesses) or is_time_up(secret_word, guesses, max_misses)\\n\\n#NOT SUBJECT TO UNIT TESTING\\n\\ndef get_difficulty():\\n os.system('clear')\\n user_input = input(\\\"Please Select a difficulty: (E)asy, (N)ormal, or (H)ard. \\\")\\n difficulty = parse_difficulty(user_input)\\n if len(difficulty) >0:\\n return difficulty\\n else:\\n print(\\\"I'm sorry that is not a valid selection.\\\")\\n return get_difficulty()\\n\\ndef read_dictionary():\\n word_list = []\\n with open(DICTIONARY_PATH, 'r') as word_file:\\n for each_word in word_file:\\n word_list.append(each_word.strip())\\n return word_list\\n\\ndef start_round(word_list):\\n guesses = []\\n difficulty = get_difficulty()\\n secret_word = get_word(get_sublist(word_list,difficulty))\\n return secret_word, guesses, difficulty\\n\\ndef display_status(word_signature, wrong_guesses, max_misses, number_of_guess):\\n os.system(\\\"clear\\\")\\n print(10*'-'+\\\"Guess #{}\\\".format(number_of_guess)+10*'-'+'\\\\n')\\n print(\\\"The word so far> \\\"+word_signature+'\\\\n')\\n print(\\\"Misses>\\\"+get_wrong_guesses_form(wrong_guesses,max_misses)+'\\\\n')\\n\\ndef get_good_guess(guesses):\\n while True:\\n user_input = input(\\\"What's your {} guess? \\\".format(ordinal(len(guesses)+1)))\\n cleaned_input = cleanup_input(user_input)\\n if cleaned_input:\\n if letter_is_in_collection(cleaned_input,guesses):\\n print(\\\"You already guessed {}. Please try again.\\\".format(cleaned_input))\\n else:\\n return cleaned_input\\n break\\n else:\\n print(\\\"I'm sorry {} is not valid. Please enter exactly 1 letter.\\\".format(user_input))\\n\\ndef play_a_turn(secret_word, guesses, max_misses):\\n display_status(get_word_print_form(secret_word, guesses),get_wrong_guesses(secret_word,guesses), max_misses, len(guesses)+1)\\n guesses.append(get_good_guess(guesses))\\n\\ndef finish_round(secret_word, guesses, max_misses):\\n display_status(get_word_print_form(secret_word, guesses),get_wrong_guesses(secret_word,guesses), max_misses,len(guesses)+1)\\n if is_word_guessed(secret_word, guesses):\\n print(\\\"You win!\\\\n\\\")\\n else:\\n print(\\\"Sorry time's up, you lose.\\\")\\n print(\\\"The word was: '{}'\\\\n\\\".format(secret_word.upper()))\\n\\n\\ndef play_game_round(word_list):\\n secret_word, guesses, difficulty = start_round(word_list)\\n max_misses = 8\\n while True:\\n if is_round_over(secret_word, guesses, max_misses):\\n finish_round(secret_word, guesses, max_misses)\\n break\\n else:\\n play_a_turn(secret_word, guesses, max_misses)\\n\\ndef should_play_again():\\n user_input = input(\\\"Do you want to play again? (y/N)\\\")\\n if len(user_input) == 0 or user_input[0].lower() == 'n':\\n return False\\n elif user_input[0].lower() == 'y':\\n return True\\n else:\\n return should_play_again()\\n\\ndef main():\\n word_list = read_dictionary()\\n while True:\\n play_game_round(word_list)\\n if not should_play_again():\\n print(\\\"\\\\nThanks for playing.\\\")\\n break\\n print(\\\"Goodbye.\\\")\\n\\n\\n\\nif __name__ == '__main__':\\n main()\\n\"\n }\n]","isConversational":false},"num_files":{"kind":"number","value":5,"string":"5"}}},{"rowIdx":2976998,"cells":{"repo_name":{"kind":"string","value":"Lameuhton/starwars"},"repo_url":{"kind":"string","value":"https://github.com/Lameuhton/starwars"},"snapshot_id":{"kind":"string","value":"95098348c741203252041d7f5848c355fabf4455"},"revision_id":{"kind":"string","value":"456e71811677d1f846ba334b8c0ac6f86344f22c"},"directory_id":{"kind":"string","value":"fc9dd89efb3dd03571810f082ccf8e3169afdb01"},"branch_name":{"kind":"string","value":"refs/heads/master"},"visit_date":{"kind":"timestamp","value":"2022-11-26T00:13:17.321786","string":"2022-11-26T00:13:17.321786"},"revision_date":{"kind":"timestamp","value":"2020-08-04T08:23:32","string":"2020-08-04T08:23:32"},"committer_date":{"kind":"timestamp","value":"2020-08-04T08:23:32","string":"2020-08-04T08:23:32"},"github_id":{"kind":"number","value":284920321,"string":"284,920,321"},"star_events_count":{"kind":"number","value":0,"string":"0"},"fork_events_count":{"kind":"number","value":0,"string":"0"},"gha_license_id":{"kind":"null"},"gha_created_at":{"kind":"null"},"gha_updated_at":{"kind":"null"},"gha_pushed_at":{"kind":"null"},"gha_language":{"kind":"null"},"files":{"kind":"list like","value":[{"alpha_fraction":0.5358649492263794,"alphanum_fraction":0.5400843620300293,"avg_line_length":20.272727966308594,"blob_id":"238d02b47abd85331f87f1f4e4441fbc152a304c","content_id":"08a0c4a0cb47010c50d4ff4c4b4053c05dda797c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":237,"license_type":"no_license","max_line_length":45,"num_lines":11,"path":"/entity.py","repo_name":"Lameuhton/starwars","src_encoding":"UTF-8","text":"class Entity:\n\n def __init__(self, name, HP):\n self.name = name\n self.HP = HP\n\n def take_hit(self, damage):\n self.HP = self.HP - damage\n\n def is_alive(self):\n return True if self.HP > 0 else False\n\n\n\n"},{"alpha_fraction":0.6019061803817749,"alphanum_fraction":0.6110703945159912,"avg_line_length":30,"blob_id":"fadeeb111e15b25dcddb2b198d4a3b41cc0136f6","content_id":"8951a3f93360a3191280402a08252de15db5822c","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":2742,"license_type":"no_license","max_line_length":109,"num_lines":88,"path":"/labo4.program.py","repo_name":"Lameuhton/starwars","src_encoding":"UTF-8","text":"from starwars.force_users import ForceUsers, Jedi, Sith\nfrom random import *\n\nORDRE_DEFAUT = 'Utilisateur'\nNOM_DEFAUT = \"Obi Wan Kenobi\"\nPDV_DEFAUT = 10\nDAMAGE_DEFAUT = 5\n\n\n\ndef creer_combattant(ordre):\n\n #Crée un nom\n nom = input(\"Quel est le nom de votre combattant?: \")\n if nom == '':\n nom = NOM_DEFAUT\n\n #Crée des pdv\n pdv = input(\"Combien de point de vie a votre combattant?: \")\n if pdv == '':\n pdv = PDV_DEFAUT\n else:\n pdv = int(pdv)\n\n while pdv < 1:\n pdv = input(\"Veuillez entrer un nombre plus grand ou égal à 1: \")\n\n #Crée des dommages\n dommages = input(\"Combien de point de dommage à votre combattant?: \")\n\n if dommages == '':\n dommages = DAMAGE_DEFAUT\n else:\n dommages = int(dommages)\n while dommages < 1:\n dommages = input(\"Veuillez entrer un nombre plus grand ou égal à 1: \")\n\n\n #Vérifie de quel ordre vient le combattant pour créer l'objet de la classe correspondante\n if ordre == 1:\n combattant = ForceUsers(nom, pdv, dommages)\n elif ordre == 2:\n combattant = Jedi(nom, pdv, dommages)\n elif ordre == 3:\n combattant = Sith(nom, pdv, dommages)\n\n return combattant\n\n\ndef main():\n\n #Demande le nombre de combattant et le stock\n nb_combattants = int(input(\"Combien de combattants souhaitez-vous? (Minimum 2): \"))\n combattants = []\n\n #Boucle pour créer la liste avec les combattants\n for i in range(1,nb_combattants+1):\n print(f\"Combattant {i}\")\n ordre = input(\"De quel ordre est votre combattant? (Utilisateur, Jedi ou Sith): \")\n if ordre != 'Utilisateur' and ordre != 'Jedi' and ordre != 'Sith':\n ordre = ORDRE_DEFAUT\n\n if ordre == \"Utilisateur\":\n combattants.append(creer_combattant(1))\n elif ordre == \"Jedi\":\n combattants.append(creer_combattant(2))\n elif ordre == \"Sith\":\n combattants.append(creer_combattant(3))\n\n #Tant qu'il reste au moins deux combattants vivants:\n print(\"------------Fight !------------\")\n while len(combattants) >= 2:\n #Sélectionne aléatoirement deux combattants distincts\n player1, player2 = sample(combattants, 2)\n #Demande au premier d'utiliser la force sur le second\n print(player1.use_force_on(player2))\n print(\"_____________________________\")\n #Vérifie si le second est toujours vivant, si non le retire de la liste des combattants\n if not player2.is_alive():\n combattants.remove(player2)\n\n #Affiche le nom du gagnant\n gagnant = combattants[0]\n print(f\"Le gagnant est {gagnant.name} de l'ordre des {gagnant.__class__.__name__} avec {gagnant.HP} HP!\")\n\n\nif __name__ == '__main__':\n main()\n"},{"alpha_fraction":0.5651447772979736,"alphanum_fraction":0.5757238268852234,"avg_line_length":34.17647171020508,"blob_id":"e978024bbcba8c5e4bd99a40e3814176f68f4bc4","content_id":"4b424287f27bad7b275d08235f7c192cbcfcb849","detected_licenses":[],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":1814,"license_type":"no_license","max_line_length":155,"num_lines":51,"path":"/force_users.py","repo_name":"Lameuhton/starwars","src_encoding":"UTF-8","text":"import starwars.entity as entity\n\n\nclass ForceUsers(entity.Entity):\n\n def __init__(self, name, HP, damage_points):\n super().__init__(name, HP)\n self.damage_points = damage_points\n\n def use_force_on(self, target):\n target.take_hit(self.damage_points)\n return f\"{self.name} projette la force sur {target.name}. Dégâts causés: {self.damage_points}. \\nHP de {target.name}: {target.HP}\"\n\n\nclass Jedi(ForceUsers):\n\n def __init__(self, name, HP, damage_points):\n super().__init__(name, HP, damage_points)\n\n def use_force_on(self, target):\n if self.HP <= 2:\n target.take_hit(self.damage_points*10)\n p = f\"{self.name} utilise la rage de la force sur {target.name}. Dégâts causés : {self.damage_points * 10}. \\nHP de {target.name}: {target.HP}\"\n else:\n p = super().use_force_on(target)\n return p\n\n\nclass Sith(ForceUsers):\n\n def __init__(self, name, HP, damage_points):\n super().__init__(name, HP, damage_points)\n self.use_count = 0\n\n def use_force_on(self, target):\n self.use_count += 1\n\n if self.use_count %3 == 0:\n if self.use_count %5 == 0:\n target.take_hit(self.damage_points*5)\n p = f\"{self.name} lance des éclairs sur {target.name}. Dégâts causés : {self.damage_points * 5}\"\n else:\n target.take_hit(self.damage_points*2)\n p = f\"{self.name} étrangle {target.name}. Dégâts causés : {self.damage_points * 2}\"\n elif self.use_count %5 == 0:\n target.take_hit(self.damage_points * 5)\n p = f\"{self.name} lance des éclairs sur {target.name}. Dégâts causés : {self.damage_points * 5}\"\n else:\n p = super().use_force_on(target)\n\n return p\n\n\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5358649492263794,\n \"alphanum_fraction\": 0.5400843620300293,\n \"avg_line_length\": 20.272727966308594,\n \"blob_id\": \"238d02b47abd85331f87f1f4e4441fbc152a304c\",\n \"content_id\": \"08a0c4a0cb47010c50d4ff4c4b4053c05dda797c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 237,\n \"license_type\": \"no_license\",\n \"max_line_length\": 45,\n \"num_lines\": 11,\n \"path\": \"/entity.py\",\n \"repo_name\": \"Lameuhton/starwars\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"class Entity:\\n\\n def __init__(self, name, HP):\\n self.name = name\\n self.HP = HP\\n\\n def take_hit(self, damage):\\n self.HP = self.HP - damage\\n\\n def is_alive(self):\\n return True if self.HP > 0 else False\\n\\n\\n\\n\"\n },\n {\n \"alpha_fraction\": 0.6019061803817749,\n \"alphanum_fraction\": 0.6110703945159912,\n \"avg_line_length\": 30,\n \"blob_id\": \"fadeeb111e15b25dcddb2b198d4a3b41cc0136f6\",\n \"content_id\": \"8951a3f93360a3191280402a08252de15db5822c\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 2742,\n \"license_type\": \"no_license\",\n \"max_line_length\": 109,\n \"num_lines\": 88,\n \"path\": \"/labo4.program.py\",\n \"repo_name\": \"Lameuhton/starwars\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"from starwars.force_users import ForceUsers, Jedi, Sith\\nfrom random import *\\n\\nORDRE_DEFAUT = 'Utilisateur'\\nNOM_DEFAUT = \\\"Obi Wan Kenobi\\\"\\nPDV_DEFAUT = 10\\nDAMAGE_DEFAUT = 5\\n\\n\\n\\ndef creer_combattant(ordre):\\n\\n #Crée un nom\\n nom = input(\\\"Quel est le nom de votre combattant?: \\\")\\n if nom == '':\\n nom = NOM_DEFAUT\\n\\n #Crée des pdv\\n pdv = input(\\\"Combien de point de vie a votre combattant?: \\\")\\n if pdv == '':\\n pdv = PDV_DEFAUT\\n else:\\n pdv = int(pdv)\\n\\n while pdv < 1:\\n pdv = input(\\\"Veuillez entrer un nombre plus grand ou égal à 1: \\\")\\n\\n #Crée des dommages\\n dommages = input(\\\"Combien de point de dommage à votre combattant?: \\\")\\n\\n if dommages == '':\\n dommages = DAMAGE_DEFAUT\\n else:\\n dommages = int(dommages)\\n while dommages < 1:\\n dommages = input(\\\"Veuillez entrer un nombre plus grand ou égal à 1: \\\")\\n\\n\\n #Vérifie de quel ordre vient le combattant pour créer l'objet de la classe correspondante\\n if ordre == 1:\\n combattant = ForceUsers(nom, pdv, dommages)\\n elif ordre == 2:\\n combattant = Jedi(nom, pdv, dommages)\\n elif ordre == 3:\\n combattant = Sith(nom, pdv, dommages)\\n\\n return combattant\\n\\n\\ndef main():\\n\\n #Demande le nombre de combattant et le stock\\n nb_combattants = int(input(\\\"Combien de combattants souhaitez-vous? (Minimum 2): \\\"))\\n combattants = []\\n\\n #Boucle pour créer la liste avec les combattants\\n for i in range(1,nb_combattants+1):\\n print(f\\\"Combattant {i}\\\")\\n ordre = input(\\\"De quel ordre est votre combattant? (Utilisateur, Jedi ou Sith): \\\")\\n if ordre != 'Utilisateur' and ordre != 'Jedi' and ordre != 'Sith':\\n ordre = ORDRE_DEFAUT\\n\\n if ordre == \\\"Utilisateur\\\":\\n combattants.append(creer_combattant(1))\\n elif ordre == \\\"Jedi\\\":\\n combattants.append(creer_combattant(2))\\n elif ordre == \\\"Sith\\\":\\n combattants.append(creer_combattant(3))\\n\\n #Tant qu'il reste au moins deux combattants vivants:\\n print(\\\"------------Fight !------------\\\")\\n while len(combattants) >= 2:\\n #Sélectionne aléatoirement deux combattants distincts\\n player1, player2 = sample(combattants, 2)\\n #Demande au premier d'utiliser la force sur le second\\n print(player1.use_force_on(player2))\\n print(\\\"_____________________________\\\")\\n #Vérifie si le second est toujours vivant, si non le retire de la liste des combattants\\n if not player2.is_alive():\\n combattants.remove(player2)\\n\\n #Affiche le nom du gagnant\\n gagnant = combattants[0]\\n print(f\\\"Le gagnant est {gagnant.name} de l'ordre des {gagnant.__class__.__name__} avec {gagnant.HP} HP!\\\")\\n\\n\\nif __name__ == '__main__':\\n main()\\n\"\n },\n {\n \"alpha_fraction\": 0.5651447772979736,\n \"alphanum_fraction\": 0.5757238268852234,\n \"avg_line_length\": 34.17647171020508,\n \"blob_id\": \"e978024bbcba8c5e4bd99a40e3814176f68f4bc4\",\n \"content_id\": \"4b424287f27bad7b275d08235f7c192cbcfcb849\",\n \"detected_licenses\": [],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 1814,\n \"license_type\": \"no_license\",\n \"max_line_length\": 155,\n \"num_lines\": 51,\n \"path\": \"/force_users.py\",\n \"repo_name\": \"Lameuhton/starwars\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"import starwars.entity as entity\\n\\n\\nclass ForceUsers(entity.Entity):\\n\\n def __init__(self, name, HP, damage_points):\\n super().__init__(name, HP)\\n self.damage_points = damage_points\\n\\n def use_force_on(self, target):\\n target.take_hit(self.damage_points)\\n return f\\\"{self.name} projette la force sur {target.name}. Dégâts causés: {self.damage_points}. \\\\nHP de {target.name}: {target.HP}\\\"\\n\\n\\nclass Jedi(ForceUsers):\\n\\n def __init__(self, name, HP, damage_points):\\n super().__init__(name, HP, damage_points)\\n\\n def use_force_on(self, target):\\n if self.HP <= 2:\\n target.take_hit(self.damage_points*10)\\n p = f\\\"{self.name} utilise la rage de la force sur {target.name}. Dégâts causés : {self.damage_points * 10}. \\\\nHP de {target.name}: {target.HP}\\\"\\n else:\\n p = super().use_force_on(target)\\n return p\\n\\n\\nclass Sith(ForceUsers):\\n\\n def __init__(self, name, HP, damage_points):\\n super().__init__(name, HP, damage_points)\\n self.use_count = 0\\n\\n def use_force_on(self, target):\\n self.use_count += 1\\n\\n if self.use_count %3 == 0:\\n if self.use_count %5 == 0:\\n target.take_hit(self.damage_points*5)\\n p = f\\\"{self.name} lance des éclairs sur {target.name}. Dégâts causés : {self.damage_points * 5}\\\"\\n else:\\n target.take_hit(self.damage_points*2)\\n p = f\\\"{self.name} étrangle {target.name}. Dégâts causés : {self.damage_points * 2}\\\"\\n elif self.use_count %5 == 0:\\n target.take_hit(self.damage_points * 5)\\n p = f\\\"{self.name} lance des éclairs sur {target.name}. Dégâts causés : {self.damage_points * 5}\\\"\\n else:\\n p = super().use_force_on(target)\\n\\n return p\\n\\n\\n\"\n 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like","value":[{"alpha_fraction":0.5094339847564697,"alphanum_fraction":0.5521350502967834,"avg_line_length":42.99514389038086,"blob_id":"d25416b8beb1753b7243b1d7155f4ee85cf0e4f1","content_id":"d2ca78e3c04e654c4a91c30aa8339282da94a536","detected_licenses":["Apache-2.0"],"is_generated":false,"is_vendor":false,"language":"Python","length_bytes":9063,"license_type":"permissive","max_line_length":190,"num_lines":206,"path":"/run_webcam-Template.py","repo_name":"ShreyaDadhich/Posture_Detection","src_encoding":"UTF-8","text":"#=====================================================\n#Modified by: Augmented Startups & Geeky Bee AI\n#Date : 22 April 2019\n#Project: Yoga Angle Corrector/Plank Calc/Body Ratio\n#Tutorial: http://augmentedstartups.info/OpenPose-Course-S\n#=====================================================\nimport argparse\nimport logging\nimport time\nfrom pprint import pprint\nimport cv2\nimport numpy as np\nimport sys\nfrom tf_pose.estimator import TfPoseEstimator\nfrom tf_pose.networks import get_graph_path, model_wh\nimport math\n\nlogger = logging.getLogger('TfPoseEstimator-WebCam')\nlogger.setLevel(logging.DEBUG)\nch = logging.StreamHandler()\nch.setLevel(logging.DEBUG)\nformatter = logging.Formatter('[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s')\nch.setFormatter(formatter)\nlogger.addHandler(ch)\n\nfps_time = 0\ndef find_point(pose, p):\n for point in pose:\n try:\n body_part = point.body_parts[p]\n return (int(body_part.x * width + 0.5), int(body_part.y * height + 0.5))\n except:\n return (0,0)\n return (0,0)\ndef euclidian( point1, point2):\n return math.sqrt((point1[0]-point2[0])**2 + (point1[1]-point2[1])**2 )\ndef angle_calc(p0, p1, p2 ):\n '''\n p1 is center point from where we measured angle between p0 and\n '''\n try:\n a = (p1[0]-p0[0])**2 + (p1[1]-p0[1])**2\n b = (p1[0]-p2[0])**2 + (p1[1]-p2[1])**2\n c = (p2[0]-p0[0])**2 + (p2[1]-p0[1])**2\n angle = math.acos( (a+b-c) / math.sqrt(4*a*b) ) * 180/math.pi\n except:\n return 0\n return int(angle)\ndef plank( a, b, c, d, e, f):\n #There are ranges of angle and distance to for plank. \n '''\n a and b are angles of hands\n c and d are angle of legs\n e and f are distance between head to ankle because in plank distace will be maximum.\n '''\n if (a in range(50,100) or b in range(50,100)) and (c in range(135,175) or d in range(135,175)) and (e in range(50,250) or f in range(50,250)):\n return True\n return False\ndef mountain_pose( a, b, c, d, e):\n '''\n a is distance between two wrists\n b and c are angle between neck,shoulder and wrist \n e and f are distance between head to ankle because in plank distace will be maximum.\n '''\n if a in range(20,160) and b in range(60,140) and c in range(60,140) and d in range(100,145) and e in range(100,145):\n return True\n return False\ndef draw_str(dst, xxx_todo_changeme, s, color, scale):\n \n (x, y) = xxx_todo_changeme\n if (color[0]+color[1]+color[2]==255*3):\n cv2.putText(dst, s, (x+1, y+1), cv2.FONT_HERSHEY_PLAIN, scale, (0, 0, 0), thickness = 4, lineType=10)\n else:\n cv2.putText(dst, s, (x+1, y+1), cv2.FONT_HERSHEY_PLAIN, scale, color, thickness = 4, lineType=10)\n #cv2.line \n cv2.putText(dst, s, (x, y), cv2.FONT_HERSHEY_PLAIN, scale, (255, 255, 255), lineType=11)\nif __name__ == '__main__':\n parser = argparse.ArgumentParser(description='tf-pose-estimation realtime webcam')\n parser.add_argument('--camera', type=int, default=0)\n parser.add_argument('--resize', type=str, default='432x368',\n help='if provided, resize images before they are processed. default=432x368, Recommends : 432x368 or 656x368 or 1312x736 ')\n parser.add_argument('--resize-out-ratio', type=float, default=4.0,\n help='if provided, resize heatmaps before they are post-processed. default=1.0')\n\n parser.add_argument('--model', type=str, default='cmu', help='cmu / mobilenet_thin')\n parser.add_argument('--show-process', type=bool, default=False,\n help='for debug purpose, if enabled, speed for inference is dropped.')\n args = parser.parse_args()\n \n print(\"mode 0: Only Pose Estimation \\nmode 1: People Counter \\nmode 2: Fall Detection \\nmode 3: Yoga pose angle Corrector \\nmode 4: Planking/Push up Detection \\nmode 5: Hourglass ratio\")\n mode = int(input(\"Enter a mode : \"))\n \n logger.debug('initialization %s : %s' % (args.model, get_graph_path(args.model)))\n w, h = model_wh(args.resize)\n if w > 0 and h > 0:\n e = TfPoseEstimator(get_graph_path(args.model), target_size=(w, h))\n else:\n e = TfPoseEstimator(get_graph_path(args.model), target_size=(432, 368))\n logger.debug('cam read+')\n cam = cv2.VideoCapture(args.camera)\n ret_val, image = cam.read()\n logger.info('cam image=%dx%d' % (image.shape[1], image.shape[0]))\n count = 0\n i = 0\n frm = 0\n y1 = [0,0]\n global height,width\n orange_color = (0,140,255)\n while True:\n ret_val, image = cam.read()\n i =1\n humans = e.inference(image, resize_to_default=(w > 0 and h > 0), upsample_size=args.resize_out_ratio)\n pose = humans\n image = TfPoseEstimator.draw_humans(image, humans, imgcopy=False)\n height,width = image.shape[0],image.shape[1]\n if mode == 1:\n hu = len(humans)\n cv2.putText(image,\"People : %f\" % (hu),(10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.5,(0, 255, 0), 2)\n #image = cv2.resize(image, (720,720))\n elif mode == 2:\n for human in humans:\n for i in range(len(humans)):\n try:\n a = human.body_parts[0] #Head point\n x = a.x*image.shape[1]\n y = a.y*image.shape[0]\n y1.append(y)\n except:\n pass\n if ((y - y1[-2]) > 30):\n print(\"fall detected.\",i+1, count)#You can set count for get that your detection is working\n elif (mode == 3):\n if len(pose) > 0:\n # distance calculations\n head_hand_dst_l = int (euclidian(find_point(pose,0),find_point(pose,7)))\n head_hand_dst_r = int (euclidian(find_point(pose,0),find_point(pose,4)))\n m_pose = int (euclidian(find_point(pose,0),find_point(pose,4)))\n # angle calculations\n angle1 = angle_calc(find_point(pose,6), find_point(pose,5), find_point(pose,1))\n angle5 = angle_calc(find_point(pose,3), find_point(pose,2), find_point(pose,1))\n \n if(mode==3) and mountain_pose(m_pose,angle5,head_hand_dst_r,head_hand_dst_l,head_hand_dst_r):\n action = \"Mountain Pose\"\n is_yoga = True \n draw_str(image,(20,80),action,orange_color,2)\n logger.debug(\"===Mountain Mode===\")\n \n elif mode == 4:\n head_hand_dst_l = int (euclidian(find_point(pose,0),find_point(pose,7)))\n head_hand_dst_r = int (euclidian(find_point(pose,0),find_point(pose,4)))\n\n angle2 = angle_calc(find_point(pose,7), find_point(pose,6), find_point(pose,5))\n angle4 = angle_calc(find_point(pose,11), find_point(pose,12), find_point(pose,13))\n\n angle6 = angle_calc(find_point(pose,4), find_point(pose,3), find_point(pose,2))\n angle8 = angle_calc(find_point(pose,8), find_point(pose,9), find_point(pose,10))\n\n if(mode==4) and plank(angle2,angle6,angle4,angle8,head_hand_dst_l,head_hand_dst_r):\n action = \"Plank\"\n is_yoga = True \n draw_str(image,(20,80),action,orange_color,2)\n logger.debug(\"===Plank===\")\n elif mode == 5:\n \n total_body_r = int(euclidian(find_point(pose,0),find_point(pose,10)))\n total_body_l = int(euclidian(find_point(pose,0),find_point(pose,13)))\n\n\n leg_r = int(euclidian(find_point(pose,8),find_point(pose,10)))\n leg_l = int(euclidian(find_point(pose,11),find_point(pose,13)))\n print(\"\\n\\n\"+str(leg_r)+\"\\n\\n\")\n\n try:\n print(\"i m in try\\n\\n\")\n tbl_r = round((leg_r/total_body_r),2)\n print(tbl_r)\n tbl_l = round((leg_l/total_body_l),2)\n print(tbl_l)\n \n x = (tbl_l - tbl_r)/2\n print(\"jeagf\")\n average_ratio = round(x,3)\n print(average_ratio)\n draw_str(image,(20,80),\"body ratio : \" +str(average_ratio),orange_color,2)\n print(\"\\n===\"+str(average_ratio)+\"===\")\n print(\"i m in try\\n\\n\")\n except:\n pass\n \n cv2.putText(image,\n \"FPS: %f\" % (1.0 / (time.time() - fps_time)),\n (10, 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5,\n (0, 255, 0), 2)\n #image = cv2.resize(image, (720,720))\n if(frm==0):\n out = cv2.VideoWriter('outpy.avi',cv2.VideoWriter_fourcc('M','J','P','G'), 30, (image.shape[1],image.shape[0]))\n print(\"Initializing\")\n frm+=1\n cv2.imshow('tf-pose-estimation result', image)\n if i != 0:\n out.write(image)\n fps_time = time.time()\n if cv2.waitKey(1) == 27:\n break\n\ncv2.destroyAllWindows()\n"}],"string":"[\n {\n \"alpha_fraction\": 0.5094339847564697,\n \"alphanum_fraction\": 0.5521350502967834,\n \"avg_line_length\": 42.99514389038086,\n \"blob_id\": \"d25416b8beb1753b7243b1d7155f4ee85cf0e4f1\",\n \"content_id\": \"d2ca78e3c04e654c4a91c30aa8339282da94a536\",\n \"detected_licenses\": [\n \"Apache-2.0\"\n ],\n \"is_generated\": false,\n \"is_vendor\": false,\n \"language\": \"Python\",\n \"length_bytes\": 9063,\n \"license_type\": \"permissive\",\n \"max_line_length\": 190,\n \"num_lines\": 206,\n \"path\": \"/run_webcam-Template.py\",\n \"repo_name\": \"ShreyaDadhich/Posture_Detection\",\n \"src_encoding\": \"UTF-8\",\n \"text\": \"#=====================================================\\n#Modified by: Augmented Startups & Geeky Bee AI\\n#Date : 22 April 2019\\n#Project: Yoga Angle Corrector/Plank Calc/Body Ratio\\n#Tutorial: http://augmentedstartups.info/OpenPose-Course-S\\n#=====================================================\\nimport argparse\\nimport logging\\nimport time\\nfrom pprint import pprint\\nimport cv2\\nimport numpy as np\\nimport sys\\nfrom tf_pose.estimator import TfPoseEstimator\\nfrom tf_pose.networks import get_graph_path, model_wh\\nimport math\\n\\nlogger = logging.getLogger('TfPoseEstimator-WebCam')\\nlogger.setLevel(logging.DEBUG)\\nch = logging.StreamHandler()\\nch.setLevel(logging.DEBUG)\\nformatter = logging.Formatter('[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s')\\nch.setFormatter(formatter)\\nlogger.addHandler(ch)\\n\\nfps_time = 0\\ndef find_point(pose, p):\\n for point in pose:\\n try:\\n body_part = point.body_parts[p]\\n return (int(body_part.x * width + 0.5), int(body_part.y * height + 0.5))\\n except:\\n return (0,0)\\n return (0,0)\\ndef euclidian( point1, point2):\\n return math.sqrt((point1[0]-point2[0])**2 + (point1[1]-point2[1])**2 )\\ndef angle_calc(p0, p1, p2 ):\\n '''\\n p1 is center point from where we measured angle between p0 and\\n '''\\n try:\\n a = (p1[0]-p0[0])**2 + (p1[1]-p0[1])**2\\n b = (p1[0]-p2[0])**2 + (p1[1]-p2[1])**2\\n c = (p2[0]-p0[0])**2 + (p2[1]-p0[1])**2\\n angle = math.acos( (a+b-c) / math.sqrt(4*a*b) ) * 180/math.pi\\n except:\\n return 0\\n return int(angle)\\ndef plank( a, b, c, d, e, f):\\n #There are ranges of angle and distance to for plank. \\n '''\\n a and b are angles of hands\\n c and d are angle of legs\\n e and f are distance between head to ankle because in plank distace will be maximum.\\n '''\\n if (a in range(50,100) or b in range(50,100)) and (c in range(135,175) or d in range(135,175)) and (e in range(50,250) or f in range(50,250)):\\n return True\\n return False\\ndef mountain_pose( a, b, c, d, e):\\n '''\\n a is distance between two wrists\\n b and c are angle between neck,shoulder and wrist \\n e and f are distance between head to ankle because in plank distace will be maximum.\\n '''\\n if a in range(20,160) and b in range(60,140) and c in range(60,140) and d in range(100,145) and e in range(100,145):\\n return True\\n return False\\ndef draw_str(dst, xxx_todo_changeme, s, color, scale):\\n \\n (x, y) = xxx_todo_changeme\\n if (color[0]+color[1]+color[2]==255*3):\\n cv2.putText(dst, s, (x+1, y+1), cv2.FONT_HERSHEY_PLAIN, scale, (0, 0, 0), thickness = 4, lineType=10)\\n else:\\n cv2.putText(dst, s, (x+1, y+1), cv2.FONT_HERSHEY_PLAIN, scale, color, thickness = 4, lineType=10)\\n #cv2.line \\n cv2.putText(dst, s, (x, y), cv2.FONT_HERSHEY_PLAIN, scale, (255, 255, 255), lineType=11)\\nif __name__ == '__main__':\\n parser = argparse.ArgumentParser(description='tf-pose-estimation realtime webcam')\\n parser.add_argument('--camera', type=int, default=0)\\n parser.add_argument('--resize', type=str, default='432x368',\\n help='if provided, resize images before they are processed. default=432x368, Recommends : 432x368 or 656x368 or 1312x736 ')\\n parser.add_argument('--resize-out-ratio', type=float, default=4.0,\\n help='if provided, resize heatmaps before they are post-processed. default=1.0')\\n\\n parser.add_argument('--model', type=str, default='cmu', help='cmu / mobilenet_thin')\\n parser.add_argument('--show-process', type=bool, default=False,\\n help='for debug purpose, if enabled, speed for inference is dropped.')\\n args = parser.parse_args()\\n \\n print(\\\"mode 0: Only Pose Estimation \\\\nmode 1: People Counter \\\\nmode 2: Fall Detection \\\\nmode 3: Yoga pose angle Corrector \\\\nmode 4: Planking/Push up Detection \\\\nmode 5: Hourglass ratio\\\")\\n mode = int(input(\\\"Enter a mode : \\\"))\\n \\n logger.debug('initialization %s : %s' % (args.model, get_graph_path(args.model)))\\n w, h = model_wh(args.resize)\\n if w > 0 and h > 0:\\n e = TfPoseEstimator(get_graph_path(args.model), target_size=(w, h))\\n else:\\n e = TfPoseEstimator(get_graph_path(args.model), target_size=(432, 368))\\n logger.debug('cam read+')\\n cam = cv2.VideoCapture(args.camera)\\n ret_val, image = cam.read()\\n logger.info('cam image=%dx%d' % (image.shape[1], image.shape[0]))\\n count = 0\\n i = 0\\n frm = 0\\n y1 = [0,0]\\n global height,width\\n orange_color = (0,140,255)\\n while True:\\n ret_val, image = cam.read()\\n i =1\\n humans = e.inference(image, resize_to_default=(w > 0 and h > 0), upsample_size=args.resize_out_ratio)\\n pose = humans\\n image = TfPoseEstimator.draw_humans(image, humans, imgcopy=False)\\n height,width = image.shape[0],image.shape[1]\\n if mode == 1:\\n hu = len(humans)\\n cv2.putText(image,\\\"People : %f\\\" % (hu),(10, 30), cv2.FONT_HERSHEY_SIMPLEX, 0.5,(0, 255, 0), 2)\\n #image = cv2.resize(image, (720,720))\\n elif mode == 2:\\n for human in humans:\\n for i in range(len(humans)):\\n try:\\n a = human.body_parts[0] #Head point\\n x = a.x*image.shape[1]\\n y = a.y*image.shape[0]\\n y1.append(y)\\n except:\\n pass\\n if ((y - y1[-2]) > 30):\\n print(\\\"fall detected.\\\",i+1, count)#You can set count for get that your detection is working\\n elif (mode == 3):\\n if len(pose) > 0:\\n # distance calculations\\n head_hand_dst_l = int (euclidian(find_point(pose,0),find_point(pose,7)))\\n head_hand_dst_r = int (euclidian(find_point(pose,0),find_point(pose,4)))\\n m_pose = int (euclidian(find_point(pose,0),find_point(pose,4)))\\n # angle calculations\\n angle1 = angle_calc(find_point(pose,6), find_point(pose,5), find_point(pose,1))\\n angle5 = angle_calc(find_point(pose,3), find_point(pose,2), find_point(pose,1))\\n \\n if(mode==3) and mountain_pose(m_pose,angle5,head_hand_dst_r,head_hand_dst_l,head_hand_dst_r):\\n action = \\\"Mountain Pose\\\"\\n is_yoga = True \\n draw_str(image,(20,80),action,orange_color,2)\\n logger.debug(\\\"===Mountain Mode===\\\")\\n \\n elif mode == 4:\\n head_hand_dst_l = int (euclidian(find_point(pose,0),find_point(pose,7)))\\n head_hand_dst_r = int (euclidian(find_point(pose,0),find_point(pose,4)))\\n\\n angle2 = angle_calc(find_point(pose,7), find_point(pose,6), find_point(pose,5))\\n angle4 = angle_calc(find_point(pose,11), find_point(pose,12), find_point(pose,13))\\n\\n angle6 = angle_calc(find_point(pose,4), find_point(pose,3), find_point(pose,2))\\n angle8 = angle_calc(find_point(pose,8), find_point(pose,9), find_point(pose,10))\\n\\n if(mode==4) and plank(angle2,angle6,angle4,angle8,head_hand_dst_l,head_hand_dst_r):\\n action = \\\"Plank\\\"\\n is_yoga = True \\n draw_str(image,(20,80),action,orange_color,2)\\n logger.debug(\\\"===Plank===\\\")\\n elif mode == 5:\\n \\n total_body_r = int(euclidian(find_point(pose,0),find_point(pose,10)))\\n total_body_l = int(euclidian(find_point(pose,0),find_point(pose,13)))\\n\\n\\n leg_r = int(euclidian(find_point(pose,8),find_point(pose,10)))\\n leg_l = int(euclidian(find_point(pose,11),find_point(pose,13)))\\n print(\\\"\\\\n\\\\n\\\"+str(leg_r)+\\\"\\\\n\\\\n\\\")\\n\\n try:\\n print(\\\"i m in try\\\\n\\\\n\\\")\\n tbl_r = round((leg_r/total_body_r),2)\\n print(tbl_r)\\n tbl_l = round((leg_l/total_body_l),2)\\n print(tbl_l)\\n \\n x = (tbl_l - tbl_r)/2\\n print(\\\"jeagf\\\")\\n average_ratio = round(x,3)\\n print(average_ratio)\\n draw_str(image,(20,80),\\\"body ratio : \\\" +str(average_ratio),orange_color,2)\\n print(\\\"\\\\n===\\\"+str(average_ratio)+\\\"===\\\")\\n print(\\\"i m in try\\\\n\\\\n\\\")\\n except:\\n pass\\n \\n cv2.putText(image,\\n \\\"FPS: %f\\\" % (1.0 / (time.time() - fps_time)),\\n (10, 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5,\\n (0, 255, 0), 2)\\n #image = cv2.resize(image, (720,720))\\n if(frm==0):\\n out = cv2.VideoWriter('outpy.avi',cv2.VideoWriter_fourcc('M','J','P','G'), 30, (image.shape[1],image.shape[0]))\\n print(\\\"Initializing\\\")\\n frm+=1\\n cv2.imshow('tf-pose-estimation result', image)\\n if i != 0:\\n out.write(image)\\n fps_time = time.time()\\n if cv2.waitKey(1) == 27:\\n break\\n\\ncv2.destroyAllWindows()\\n\"\n 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samijouppila/iotkurssi | https://github.com/samijouppila/iotkurssi | 8871e6e4d4794a8d39e43b0f0cc60480b5b8c51b | 245a95124a6dc08ff779b41ed27a7b52cc374cf3 | 9ba8c802fd5a5e2de7cb9783f5ec67a0487eae24 | refs/heads/master | 2020-12-12T03:28:02.021543 | 2020-01-22T07:51:02 | 2020-01-22T07:51:02 | 234,031,106 | 0 | 0 | null | null | null | null | null | [
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liamhawkins/mirna-pipeline | https://github.com/liamhawkins/mirna-pipeline | b6737ae6d36556e544cda40f7c1471649dcf1dc4 | 931cab0163c7eeba6e0327273c358b64a5800efb | db33ed18c9d5d86fbb21b0a99095fccde43469f3 | refs/heads/master | 2020-04-25T11:05:39.687063 | 2019-11-27T20:22:20 | 2019-11-27T20:22:20 | 172,733,375 | 1 | 0 | null | null | null | null | null | [
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shorschig/Spatiotemporal-Analysis-of-Healthcare-Data | https://github.com/shorschig/Spatiotemporal-Analysis-of-Healthcare-Data | affb9688166d0da56e0d96bdcf12cd8a24b15278 | c404b0045d33f1c887a3b329ff544381bddd527c | 3d318bf965dfb7312ccfa4327137997e5e2dc29b | refs/heads/master | 2021-09-07T01:39:43.213895 | 2017-01-01T00:01:32 | 2017-01-01T00:01:32 | 112,464,460 | 0 | 0 | null | 2017-11-29T11:00:08 | 2017-11-29T11:00:08 | 2017-12-07T16:32:45 | null | [
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Asewze/lab4-Lights-Out | https://github.com/Asewze/lab4-Lights-Out | 59bc6f77c61fc459882ce8f6696c9e23df2fdbb9 | 9eee06dc5a0c360c410643759dc5feec695e9af7 | 954f5406e7ebfb9a0c3ae202be5e9399116561ef | refs/heads/main | 2022-12-29T13:40:05.149802 | 2020-10-14T23:38:34 | 2020-10-14T23:38:34 | 302,719,982 | 0 | 0 | null | null | null | null | null | [
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smartinternz02/SPS-9885-Personal-Expense-Tracker | https://github.com/smartinternz02/SPS-9885-Personal-Expense-Tracker | 114860050688810f585e340d0442e19975f694d5 | f1e5c10339acdd164891ba577e99956c168972bf | 4db4fa1217309ab8b1fb66ee2a676c4533219599 | refs/heads/main | 2023-05-09T11:25:44.027047 | 2021-05-24T17:27:10 | 2021-05-24T17:27:10 | 360,102,121 | 1 | 0 | null | null | null | null | null | [
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mufai/python-basic-new | https://github.com/mufai/python-basic-new | 0c1fe870864f642801cda7e594bdca831e537771 | 3d06286a7bf10771e00d8ffc7f9b4de2998c103e | 27975cfb8252f7edd894b2a0cd8089e8ea4e7853 | refs/heads/main | 2023-06-03T10:26:37.992905 | 2021-06-17T17:10:37 | 2021-06-17T17:10:37 | null | 0 | 0 | null | null | null | null | null | [
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BlastHackNet/SAMP-API | https://github.com/BlastHackNet/SAMP-API | 34c7f50b2d31143845e2c3965d247cf3512894d2 | 754463d930d04e139d909ad0f9962288f0dd491e | 079e477895b8e1eb5942750a4958c9c36fee4696 | refs/heads/multiver | 2023-08-09T19:46:52.405416 | 2023-07-10T22:20:57 | 2023-07-10T22:20:57 | 186,235,199 | 49 | 37 | MIT | 2019-05-12T09:28:37 | 2023-07-19T07:42:39 | 2023-07-22T17:38:41 | C++ | [
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calcsam/SF-investment | https://github.com/calcsam/SF-investment | b1945f47c76d72b0793051f19b9bb3b54d7186ef | ab3f5fcac9328dfaf759397c4d917f7d4dcf0600 | b55ec995ac292851d07677cb9440f28756257303 | refs/heads/master | 2021-01-23T16:35:33.446996 | 2013-06-24T18:51:01 | 2013-06-24T18:51:01 | 9,963,267 | 2 | 0 | null | null | null | null | null | [
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nandini3698/Cursor-controller | https://github.com/nandini3698/Cursor-controller | 0cdf9ad991a318fe6dd3ec07f6dc9b3cd8ad6790 | 2ab9b8a2b5a63b0c9bc6781e031b188ad9c41e9d | 8934eea14b3a3cdc85e14b7df8b6321cafd6fca3 | refs/heads/master | 2022-11-18T02:22:16.826988 | 2020-07-15T18:21:56 | 2020-07-15T18:21:56 | 279,944,485 | 0 | 0 | null | null | null | null | null | [
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Rikka-irk/Py_Study | https://github.com/Rikka-irk/Py_Study | dff1aabc55678a34592944ff0677c5726d503835 | be226bd839fdc1c5c3681c7cdcaf7ee953f676d1 | 4e02e942eb0e59935d4ba617479b34125b04e32a | refs/heads/master | 2021-01-20T18:19:56.404399 | 2016-06-25T19:28:15 | 2016-06-25T19:28:15 | 60,774,596 | 0 | 0 | null | null | null | null | null | [
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K-D-Gallagher/CNN-pixel-classification | https://github.com/K-D-Gallagher/CNN-pixel-classification | 698ec12fb644244f1c2c406d59ea5650a703c6b3 | 33f9a07bd8dacb3a2554a1788dd9b60b267162d4 | b77c0ed57433411aadc48fea3d1e48f67d1b8a6c | refs/heads/main | 2023-08-30T18:03:52.524350 | 2021-11-12T16:47:42 | 2021-11-12T16:47:42 | 385,638,890 | 0 | 0 | null | 2021-07-13T14:48:22 | 2021-07-13T17:08:25 | 2021-07-13T17:14:26 | Python | [
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arslansahin/Trendyol_Fatura | https://github.com/arslansahin/Trendyol_Fatura | 90a04dd1f902fd7e12885e4b2619f7d090dc4aaf | ffa244d0dc2f70c89756587310ff69603b981b46 | 1092bfaef06d03bf7a5db68d5277c4d676a4188e | refs/heads/master | 2023-08-05T20:15:55.639275 | 2021-09-21T14:03:44 | 2021-09-21T14:03:44 | null | 0 | 0 | null | null | null | null | null | [
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BertW007/sqlite-python-assigment | https://github.com/BertW007/sqlite-python-assigment | 6c1e515c7d2a8dc61d299969b017ab3b848f654e | 3938ac3e2f30d8188c616f44729041d25d183d27 | a2f738b48264c0995f663e802bc9751288b4cb4a | refs/heads/master | 2020-04-08T16:54:47.415997 | 2017-05-08T08:24:13 | 2017-05-08T08:24:13 | null | 0 | 0 | null | null | null | null | null | [
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ripiu/cmsplugin_columns | https://github.com/ripiu/cmsplugin_columns | 524ed064b2707bebb3592b4b056f9ba67614038d | 8e5f6d39fcdbfb3329f359ecc32de8574dcae7c8 | 26d3de53424c1b5024b31c38bdb4be303a9031df | refs/heads/master | 2021-09-07T05:14:34.830446 | 2018-02-17T22:49:06 | 2018-02-17T22:49:06 | 105,408,360 | 0 | 0 | null | null | null | null | null | [
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MelvinPeepers/Sprint-Challenge--Algorithms | https://github.com/MelvinPeepers/Sprint-Challenge--Algorithms | b2818c3bc4891f0fc483a91486a4fcb7bd18e88a | f484462a0c1408629f8e464ce5f30951ceb59dd9 | f361bace986b9fd9d0f39bdd67aa6359d19b94e7 | refs/heads/master | 2021-02-28T06:49:26.054314 | 2020-03-15T02:35:52 | 2020-03-15T02:35:52 | 245,671,828 | 0 | 0 | null | 2020-03-07T17:00:03 | 2020-03-07T17:00:05 | 2020-03-15T02:35:53 | null | [
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victorvorobev/MarvinNew | https://github.com/victorvorobev/MarvinNew | 2f5279e46e30202ce59f82642e06edca3bda7014 | 5c5a0d05956fda0d5952f1dc2e821ff4690f11d2 | 5ba980e889f475ff47608e548ef802f2b358fce1 | refs/heads/master | 2020-03-09T19:43:54.977805 | 2018-04-11T11:47:45 | 2018-04-11T11:47:45 | 128,964,950 | 0 | 0 | null | null | null | null | null | [
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mingyq/fbprophet | https://github.com/mingyq/fbprophet | a2bed7940d3ffa333f8460f97a0e0d636ca56c8e | b683e77cffeec8b0f1b66d727c93efcd6b6f28a6 | 104fe4e9b31b8ff2ca2e6c99012b5e7691efde5d | refs/heads/main | 2023-05-01T01:08:53.747045 | 2021-05-08T12:33:45 | 2021-05-08T12:33:45 | 365,466,104 | 0 | 0 | null | null | null | null | null | [
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WordCruncher/twitter_corpus | https://github.com/WordCruncher/twitter_corpus | dec7675d63847e9760c7ca92f67a60e163f61205 | 9d6bb7d3666e38707589903a60832ed77bb0191a | ca7bbab5e566ec1f219a0318659b9a5c2d510ec2 | refs/heads/master | 2020-06-08T02:42:53.226320 | 2019-11-19T17:03:15 | 2019-11-19T17:03:15 | 193,144,078 | 1 | 1 | null | 2019-06-21T18:33:55 | 2019-11-19T17:03:19 | 2019-11-19T17:03:16 | Python | [
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JmsBtlr111/Fibonacci-Client-Server-App | https://github.com/JmsBtlr111/Fibonacci-Client-Server-App | e27add486ef69bba5e7161346b39b7170f16dc7d | 8a0763d31411a323a6e57ee6d370710dbc10f596 | 2cef95738eacd82ebdcb12bed1a5c9cd3c0b7a9d | refs/heads/master | 2016-07-26T09:21:56.286696 | 2014-09-04T08:47:29 | 2014-09-04T08:47:29 | 23,311,451 | 1 | 0 | null | null | null | null | null | [
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pmstirpe/SoundcloudLikesScraper | https://github.com/pmstirpe/SoundcloudLikesScraper | 988655420adbf826494f63655d4e468f36067e1a | 80a7f64d408fac6a81c793e9a58d075ac3053031 | d89806d19517178ee9a09c65cb8ca4c8d8b70145 | refs/heads/master | 2021-01-13T19:38:25.863804 | 2020-07-12T00:43:04 | 2020-07-12T00:43:04 | 242,474,015 | 1 | 0 | null | null | null | null | null | [
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Nordstrom/cloud-log-poller | https://github.com/Nordstrom/cloud-log-poller | b813f082059b1b8bfb139bb27089ab75a901864d | f7ae0fb23c0568e0eb6ee726d4bf08c61631e694 | f1d5354a4a0c8bb019983550bfd7422ef4bd8065 | refs/heads/master | 2021-12-11T02:59:30.713008 | 2013-10-08T23:32:52 | 2013-10-08T23:32:52 | 13,256,086 | 1 | 0 | Apache-2.0 | 2013-10-01T21:21:52 | 2017-07-06T04:14:59 | 2021-06-09T23:40:29 | Python | [
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CBermingham/Race_Time_Predictor | https://github.com/CBermingham/Race_Time_Predictor | 330aa2a695676f44cb1f7e7d2027a24e3979e67b | 2df24621b94c7c6c57809738b471d9d9167008e8 | 4ef06c2701268fd8aeac951b0576ad54206cea74 | refs/heads/master | 2021-01-02T09:30:03.172005 | 2017-08-09T15:50:39 | 2017-08-09T15:50:39 | 99,228,737 | 0 | 0 | null | null | null | null | null | [
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brechtm/rinoh-typeface-carlito | https://github.com/brechtm/rinoh-typeface-carlito | c7c323f1a5812cabe4a3ec984b62001b955c5267 | 0d4493168108e7ae592211b2d5ea572b57f52635 | 1b59af333a1594f17a101c56ca7f9a002a14b774 | refs/heads/master | 2022-12-10T02:01:46.053467 | 2020-09-17T15:53:16 | 2020-09-17T15:53:16 | 296,374,218 | 0 | 0 | null | null | null | null | null | [
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robsontissiano/doesangue | https://github.com/robsontissiano/doesangue | 19312dfd6379ffb110cd92db6879a5dfd62d2519 | eb693de98aeb38f3c7e7892bd9e03a3cfb0e173f | d07fd70de39dc32cc8dfdd038509ae902c367c5f | refs/heads/master | 2022-05-03T08:42:46.424884 | 2020-07-21T03:12:39 | 2020-07-21T03:12:39 | 249,758,139 | 0 | 1 | null | 2020-03-24T16:23:06 | 2020-07-21T03:12:42 | 2022-04-22T23:10:49 | Python | [
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woods0918/python_tools | https://github.com/woods0918/python_tools | 1efa7387640e8765b91b372f87f290af87efafcc | 7d3f24abb5c5ddeae4e05321abfab39f4170389b | 423c61f794f35ba2a2c0df052c56321ff31a8a32 | refs/heads/master | 2018-10-22T03:57:57.595788 | 2018-08-20T14:08:40 | 2018-08-20T14:08:40 | 140,450,094 | 0 | 0 | null | null | null | null | null | [
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RideGreg/LintCode | https://github.com/RideGreg/LintCode | fed9eb7e2893ad786dc40118180c280edb149692 | 1460a79035c3e773b9fd82bc621e785edc17f1c9 | bfbde6f4a514d7f98ba575e3daa1c490d3f4a142 | refs/heads/master | 2021-07-09T15:12:16.857645 | 2020-07-21T08:54:27 | 2020-07-21T08:54:27 | 135,508,117 | 0 | 0 | null | 2018-05-30T23:38:38 | 2018-05-30T10:49:18 | 2017-10-09T03:00:46 | null | [
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luxoracle/ESPY | https://github.com/luxoracle/ESPY | f0c75ef3081386196d93a760ad0636c9655ce3f1 | 2e6614357a254b102712c9fa80c4c676f8dd10aa | 38c36c345fb0019d4f8d3bdacad47859a7106f4a | refs/heads/master | 2020-04-13T03:43:21.669217 | 2018-12-24T02:20:41 | 2018-12-24T02:20:41 | 162,940,157 | 0 | 0 | null | null | null | null | null | [
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dhirajsinhdeshmukh/Optimal-control-for-driving-one-dimensional-dynamical-system-to-origin | https://github.com/dhirajsinhdeshmukh/Optimal-control-for-driving-one-dimensional-dynamical-system-to-origin | 9f7e80307c6c83ceac1b346a2337d1e740b40833 | 133a8e7666a60fc7a791fdf38cea96f9648f24e5 | 4b2c238884dbb121de65160e038797325b8a77d1 | refs/heads/master | 2021-05-15T02:33:37.811054 | 2020-03-26T17:10:41 | 2020-03-26T17:10:41 | 250,312,541 | 0 | 0 | null | null | null | null | null | [
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arpit-pi/imitation_learning | https://github.com/arpit-pi/imitation_learning | 0d11c6d0bc9f5bccc3791a990e678bf9618763f7 | ff88cbf181b1a3b8daac35ab81a0840480cd6b93 | fb64a19155f3920e43fdf60eb0df704a4d25bcd1 | refs/heads/master | 2021-01-25T14:11:29.235816 | 2018-03-03T06:51:29 | 2018-03-03T06:51:29 | 115,720,610 | 0 | 0 | null | null | null | null | null | [
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Walt105/EDwechat | https://github.com/Walt105/EDwechat | 285457f7877898519afc561de29acbc93a78a094 | 52e8b70625ed977b5a01d72d9b9bccc5979854f3 | 0565cc25732a4dfa01cd8de9de93d58ff4cc9b67 | refs/heads/master | 2020-06-26T14:41:49.327440 | 2019-08-05T07:36:14 | 2019-08-05T07:36:30 | 199,661,768 | 0 | 0 | null | null | null | null | null | [
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carlosElGfe/PuposApp | https://github.com/carlosElGfe/PuposApp | 62fb679014aceeac0a8f808dd597f0e893e6cebd | 7b5f05ad62a7e3b34e65602d93a23b01f14673ee | d9d05755c5258478f01004737b2a1b4146629930 | refs/heads/master | 2023-02-09T23:56:36.588831 | 2021-01-06T01:34:56 | 2021-01-06T01:34:56 | 323,667,307 | 0 | 0 | null | null | null | null | null | [
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GyuReeKim/Either | https://github.com/GyuReeKim/Either | ef3156f2a635d3a6345fac43a0f0c35cd49e73d3 | 3372dc1cc045f2bf0e9029b052c67277c3bfa527 | e7f66e252baf876a1b34c2e70983b70c391aa7f3 | refs/heads/master | 2020-08-13T14:21:20.490259 | 2019-10-28T07:56:50 | 2019-10-28T07:56:50 | 214,983,210 | 0 | 0 | null | null | null | null | null | [
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carabedo/flask_streamlit | https://github.com/carabedo/flask_streamlit | 8b381e814eb3ce176b1b6c949a091c4851539988 | c28652d7626431b88a44a26157d94efa5e44e9cc | 97401e1373b809d11561009bcaa8fe74b2a96d73 | refs/heads/master | 2023-01-07T16:16:06.380993 | 2022-10-21T21:44:21 | 2022-10-21T21:44:21 | 260,359,262 | 0 | 0 | null | null | null | null | null | [
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rnithin1/MusicMaker | https://github.com/rnithin1/MusicMaker | 3d793459a239914c3e14d07b72fed06178018408 | c3f0af4aa9bbbf22bd9fa17c113a80c9959b9da5 | ce8a9e2a5752c8e9d3c8d87cb2cbc297491086ac | refs/heads/master | 2021-07-11T04:12:32.774977 | 2017-10-07T09:31:54 | 2017-10-07T09:31:54 | 106,075,310 | 0 | 0 | null | null | null | null | null | [
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WebstepTrondheim/office-automation | https://github.com/WebstepTrondheim/office-automation | 8910b18b093d9df8dc273375e4cfd9313996e4a0 | c9636832d20b833e0ed59cf66d5df565cbf3c020 | 0b6ef6f234cce3c23555a3c54e853ccad9d474dc | refs/heads/master | 2020-04-14T13:20:58.019583 | 2019-02-04T14:49:34 | 2019-02-04T14:57:54 | 163,866,132 | 0 | 0 | null | null | null | null | null | [
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Duliu-Killer/blogProject | https://github.com/Duliu-Killer/blogProject | 48349eafb8779befe6db96bf16711a2c8e03664f | 6607081477c7d9f5e51274ec3be846f0f22351b6 | 6aaa46c64c4f98daf7d3e16b0374d792446abd2a | refs/heads/master | 2021-01-26T00:01:50.375578 | 2020-02-25T10:57:35 | 2020-02-25T10:57:35 | 243,234,436 | 1 | 0 | null | 2020-02-26T10:24:04 | 2020-02-25T11:05:40 | 2020-02-26T04:20:06 | null | [
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DastaanSharma/Udacityud501 | https://github.com/DastaanSharma/Udacityud501 | 54e93c26fae068b29d632d7f5d41d1cab9de4102 | b2d09c2b6a287e83254c2e11a46a8bac22d89829 | e6ff686ecbb6ca83ada6fcd7f774f259bc13d087 | refs/heads/master | 2021-09-11T15:43:56.993460 | 2017-11-13T10:48:56 | 2017-11-13T10:48:56 | 110,535,271 | 0 | 0 | null | null | null | null | null | [
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nikhilparekh/DataStructures | https://github.com/nikhilparekh/DataStructures | 95b0f8abaa6e76e5010e3a22eb83a3f49b723dbd | f5faba41604f8c26107b590a5670d2f2d1498a8e | f41e2b178074c5792ab685fc6cf1f43b8af60cdf | refs/heads/master | 2022-12-08T11:55:00.992317 | 2020-08-31T02:55:40 | 2020-08-31T02:55:40 | 286,321,773 | 0 | 0 | null | null | null | null | null | [
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akshayDev17/Extractive-Text-Summarizer | https://github.com/akshayDev17/Extractive-Text-Summarizer | d45458f217201fffcc6512113be6f3732d8468b4 | 959dfdad2a68eaba13d09a307e9c8a3a1e6ada19 | cc4a6da216afbd297e5bda34a618926e8b619301 | refs/heads/master | 2020-06-27T07:48:11.694178 | 2019-07-31T16:30:45 | 2019-07-31T16:30:45 | null | 0 | 0 | null | null | null | null | null | [
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christian/Rho | https://github.com/christian/Rho | b2c808b4d5e16e13ec91193136895a31841bc2f1 | 0dff9d7905d7a5fee43f1e582116f8b75a208059 | c32e1667617ba01fc1bfcaaf172d8c6b5e44cfbc | refs/heads/master | 2016-08-05T07:37:16.652831 | 2010-07-06T12:24:07 | 2010-07-06T12:24:07 | 759,535 | 0 | 2 | null | null | null | null | null | [
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luckysunfd/chromium-website-blocker.ext | https://github.com/luckysunfd/chromium-website-blocker.ext | 71324b8bdf271e0ff264c946ebca850e0fb14edc | f3ea73c67d3da49f88744a544a3f963b336b8a05 | d52c5cd0f346720dc359ccaf7addbfc495db810e | refs/heads/master | 2023-04-15T19:42:10.219424 | 2021-04-29T10:50:34 | 2021-04-29T10:51:05 | null | 0 | 0 | null | null | null | null | null | [
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tommy-ncnu/Reinforcement-learning-dynamic-channel-asignment | https://github.com/tommy-ncnu/Reinforcement-learning-dynamic-channel-asignment | 0b4c17b3f5d5be76f22be81aee087458777ba1b3 | 58401d0b560eee8727cb570f6b9ff5cda6ec4fe6 | d7cddfc9dea0ca238123b606dc3dd9453f534dae | refs/heads/main | 2023-05-03T20:30:14.005877 | 2021-05-21T07:22:16 | 2021-05-21T07:22:16 | 369,448,614 | 0 | 0 | null | null | null | null | null | [
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kframework/matching-logic-prover | https://github.com/kframework/matching-logic-prover | 536f30ad1bc96a803031dd0fe2444cfd8406523e | 2a2fdfd13f6ba0233c4b4cee796873b1b8aec299 | 05e6b18ce2fda3110f2c267a0425fce60fe80186 | refs/heads/master | 2021-07-10T12:58:44.784954 | 2020-12-14T14:15:59 | 2020-12-29T06:19:06 | 69,971,747 | 18 | 9 | null | 2016-10-04T14:17:22 | 2020-08-29T15:32:54 | 2020-09-15T00:26:54 | SMT | [
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DenisPolagaev/fy4a | https://github.com/DenisPolagaev/fy4a | bb2b956a138f8f63cff71caa8e02179cc61685ba | b8d55d2ef6969b94c8d8bfd11c5e828c7c37ab33 | 485c39645913976a4bd8294a7f941d1188d6c753 | refs/heads/master | 2020-08-13T12:54:29.006440 | 2020-03-17T05:43:13 | 2020-03-17T05:43:13 | 214,971,372 | 0 | 0 | null | null | null | null | null | [
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horsezp/python-test | https://github.com/horsezp/python-test | 3b03f861321cbd5b5c4bf6d446f28ab81b26236e | d1d44679bdd84a907648d1fde7cba9acfef108d8 | d1f4d2334d1f0a1853f214a75e6afca761fd2a9a | refs/heads/master | 2021-01-23T19:30:00.059794 | 2017-09-26T07:41:24 | 2017-09-26T07:41:24 | 102,826,305 | 0 | 0 | null | null | null | null | null | [
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ssryps/verilog-parser | https://github.com/ssryps/verilog-parser | 6b47541bb1f2a3489e2e90b3650d74b009e8f6bc | 2d6888e679267d083c204afccb33a31c2928fdf1 | 27a29d9adf715a7814af9f8285795a6f3b7aaa20 | refs/heads/master | 2021-01-08T18:15:26.905676 | 2020-06-02T04:28:11 | 2020-06-02T04:28:11 | 242,101,960 | 0 | 0 | MIT | 2020-02-21T09:28:17 | 2020-02-20T01:22:32 | 2019-07-17T16:32:56 | null | [
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guchenghao8744/ihome | https://github.com/guchenghao8744/ihome | 5eebb7461ff17f64420cdf9dc4b6faed82c7deaf | e66d844c366f975739bde03d68a65b9040a397a8 | 934d601192a79b516fef12f876c5ba520acd157d | refs/heads/master | 2020-03-24T13:51:52.634102 | 2018-07-30T02:32:40 | 2018-07-30T02:32:40 | 142,752,859 | 0 | 1 | null | 2018-07-29T10:52:34 | 2018-07-29T10:52:37 | 2018-07-29T10:59:03 | null | [
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Summer-Xuan/Flask_Fisher | https://github.com/Summer-Xuan/Flask_Fisher | 808084e32cbea1a4e5840a0923f85e87af556bef | 3c977621025549596109a17c2030af8703720c87 | 4ead5f12685e8bf49b868c34aef15d3ff49bd92a | refs/heads/master | 2023-02-24T04:45:41.033536 | 2021-01-31T16:43:33 | 2021-01-31T16:43:33 | 332,781,078 | 0 | 0 | null | null | null | null | null | [
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kylethayer/python_text_co-occurance | https://github.com/kylethayer/python_text_co-occurance | 315d283abe974a328137ed983520e961ac624db1 | 6b6c65ee32da00dc0e1edd4fdc07813efd4edd0f | 57bb5c446c7c0b3fb9ac68c62ecef7ea47839be1 | refs/heads/main | 2023-01-24T11:54:08.892506 | 2020-12-07T18:38:39 | 2020-12-07T18:38:39 | 319,392,736 | 0 | 0 | null | null | null | null | null | [
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logological/logological.org | https://github.com/logological/logological.org | 0bc58ac6e0c5132a50bc6f849f63542ddeda2b3e | 46af04fa84ef178e8bcd23dbfcd5e586eaf71d7e | da2093e287e816277be752cf5c0104bfb4b9a765 | refs/heads/master | 2023-07-22T09:11:41.390427 | 2023-07-10T11:50:56 | 2023-07-10T11:50:56 | 60,782,904 | 1 | 1 | null | null | null | null | null | [
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iteachyou/MackWasTaken.help | https://github.com/iteachyou/MackWasTaken.help | 9aff09cd305379950c783e79b861fd5c915446f5 | 44c9df41eabef0790b68084074e1add33c960f62 | 4235751a57d5b7996c50ef4814e570b38b2ccdab | refs/heads/master | 2021-01-15T22:28:53.406764 | 2014-10-11T00:35:05 | 2014-10-11T00:35:26 | null | 0 | 0 | null | null | null | null | null | [
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itsmeari/plantingthegoodseed | https://github.com/itsmeari/plantingthegoodseed | 9e673bdaac79f9e05d0a302e0daa2bad1c2f1852 | ba66cf0f267f0a790d75064eb45283b1f993ae46 | e12c7ad683be04de4dc2b56c65189bb4221ad030 | refs/heads/master | 2015-09-26T09:50:27.745764 | 2015-09-19T03:20:02 | 2015-09-19T03:20:02 | 42,757,940 | 0 | 0 | null | null | null | null | null | [
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JoseDavid97/Evidencia_GIT | https://github.com/JoseDavid97/Evidencia_GIT | 508e5c6f428a7f950041b261ff99699e8c4796ae | 819a33b8668c7b37e918bcfa081b90a2caf233e4 | b3d4b14c25ad6e7c031552feeded28787bb0598a | refs/heads/master | 2023-01-21T20:10:29.991953 | 2020-11-12T17:23:18 | 2020-11-12T17:23:18 | 312,339,464 | 0 | 0 | null | null | null | null | null | [
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cneiderer/Neiderer_Metis | https://github.com/cneiderer/Neiderer_Metis | 788583284a26c8e752504131b5bcd029a68af6d6 | 97cad4b95a189b2508bc4fc8246cc79f6d1578e5 | cf20ff759c184556360b2723b5dacedbb36bc853 | refs/heads/master | 2021-05-11T15:55:08.770628 | 2018-04-06T06:48:56 | 2018-04-06T06:48:56 | 117,746,057 | 0 | 0 | null | null | null | null | null | [
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chattansingh/gradplan-website | https://github.com/chattansingh/gradplan-website | d350107ce3aad34083029cf21b789b491ecaff4a | fa8ce9a10ad68aea1fb433412f2b000358061218 | f7629e9a023a8f9736d5e205951bb3ea8a323519 | refs/heads/master | 2021-01-22T10:40:23.530383 | 2017-05-26T00:06:36 | 2017-05-26T00:06:36 | null | 0 | 0 | null | null | null | null | null | [
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maulwurst/python | https://github.com/maulwurst/python | a6d029e3c11b89dd8b59ea88cb788875e583a1e6 | f594d608586db9546030971e1222065af52c5f31 | 779e0eff4dc53919e4026ebca7b81a8398178ed4 | refs/heads/master | 2022-04-23T12:47:29.924086 | 2020-04-26T08:46:44 | 2020-04-26T08:46:44 | 255,140,231 | 0 | 0 | null | null | null | null | null | [
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fadu2/Lesson-9---2E---Relational-and-Logical-Operators | https://github.com/fadu2/Lesson-9---2E---Relational-and-Logical-Operators | 4619cec29a7cc55076372444b738bbdca8846e07 | 7b843a708cb3b85ad9f03fcd50f87c75a394452f | 6ddf54b5f16fa923b23db49d7adb920ca8ad2ef9 | refs/heads/main | 2023-09-04T16:11:59.363777 | 2021-11-02T19:51:54 | 2021-11-02T19:51:54 | 423,979,721 | 0 | 0 | null | null | null | null | null | [
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lishengnan330/inter-test | https://github.com/lishengnan330/inter-test | 4b9abc37408946fe0cd8c0621e25785503d8e020 | 123960dbc5012a24f05f242109be598794f46d09 | a912097f9854affdc5929591e4bb4226d56612bb | refs/heads/master | 2021-04-03T05:00:07.741521 | 2018-03-11T10:03:22 | 2018-03-11T10:03:22 | 124,733,750 | 0 | 0 | null | null | null | null | null | [
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Hockery/nlp_word | https://github.com/Hockery/nlp_word | 09aba47becad3c99b07bc8d1f89a9875e684a73b | b609685351b8f335c4cad194d73e7adceb90cba6 | f628135324895b73f478d9cf731723b62b7484ba | refs/heads/master | 2020-03-19T01:52:21.668538 | 2019-05-05T12:37:11 | 2019-05-05T12:37:11 | 135,578,858 | 0 | 0 | null | null | null | null | null | [
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FRidh/tools | https://github.com/FRidh/tools | 2110df15cb3a6520fea9e8f24435d7b05c653592 | bebfbb8da329d904311b15e42363eabd60e53133 | ef1a02acae596c6f50fd0e7cfb68daf18ce58a22 | refs/heads/master | 2021-01-01T16:45:32.937003 | 2015-05-18T07:34:52 | 2015-05-18T07:34:52 | 22,713,595 | 0 | 0 | null | null | null | null | null | [
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hunduu/my-selenium-pro | https://github.com/hunduu/my-selenium-pro | 8557e37b28fbd709ab17642d05d464f7bf9ec6e4 | 36ddd9f5c21581d330d5ac3610f1744471f1b229 | 0e344ed48c26bbad8606d3b414066e56657ef62c | refs/heads/master | 2021-04-09T11:49:59.180853 | 2018-03-16T03:41:37 | 2018-03-16T03:41:37 | 125,457,570 | 0 | 0 | null | null | null | null | null | [
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resurrexi/sunlightmed | https://github.com/resurrexi/sunlightmed | a40688d17fbea45639e74c79fc85c889cbaad982 | 88005d34f5601f888eaa054d86030552afa30f5f | 4ef4af12dfecd16375173bb2e8d0a6e09db374a0 | refs/heads/master | 2019-12-06T11:39:43.527340 | 2016-08-27T23:33:49 | 2016-08-27T23:33:49 | 52,918,336 | 0 | 0 | null | null | null | null | null | [
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JoelBinf/Systembolaget_webcrawl | https://github.com/JoelBinf/Systembolaget_webcrawl | ec6384ec1a98a2f28a65d712ea2efb0e4bc874e5 | 4e274b6757bb082113abe4337958346606b59791 | b6afe02438ef5ba9afa4a9a4cc226522fcdeffb4 | refs/heads/master | 2021-01-01T16:05:33.593138 | 2019-07-04T09:44:38 | 2019-07-04T09:44:38 | 29,350,043 | 0 | 0 | null | null | null | null | null | [
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fbarscevicius/INC-UFABC-2018 | https://github.com/fbarscevicius/INC-UFABC-2018 | f6cf74500d53951c1454c5e2f3e703ea1a9debf1 | ce033b2dc7b54b0354dc82483f9f7f878381a260 | 8a7c28ec36e169f896ead314cba727e219f27e12 | refs/heads/master | 2022-09-04T02:21:08.590900 | 2018-07-19T01:10:58 | 2018-07-19T01:10:58 | null | 0 | 0 | null | null | null | null | null | [
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wtt4477/BracoStore5_capstone | https://github.com/wtt4477/BracoStore5_capstone | f30d3b2bd0f5233749f0a20ae3db551172aad734 | 8681d040d904a5fe8b691d2e435b2ac0ec4b5a29 | 57dd8ef83967fdb94d7d9bcd2625dcdf3221ee4f | refs/heads/master | 2023-03-25T16:31:10.998315 | 2021-03-22T00:23:55 | 2021-03-22T00:23:55 | 350,153,400 | 0 | 0 | null | null | null | null | null | [
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Bocard23/network_mon | https://github.com/Bocard23/network_mon | c3f77ea5717e5add423171f45a6df0d762969d84 | 0310a3318a24f452e652a546d115f12ae28cef8f | 2d0fe95483d77471f87144456143240f86f3fb09 | refs/heads/master | 2021-05-10T22:58:17.071939 | 2018-01-20T19:03:28 | 2018-01-20T19:03:28 | 118,271,987 | 0 | 0 | null | null | null | null | null | [
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Algias/UCF_Baxter_Grasp | https://github.com/Algias/UCF_Baxter_Grasp | c9bfa88331ef6312a5d006d7d470989a1ab934c6 | dd35ecd4275d7d1d4a4209ab5907eb80e902b54b | a2c9cc19c80558a4f127fabfbc8d16f7f424a7ee | refs/heads/master | 2021-05-01T11:44:41.890614 | 2016-10-17T12:52:32 | 2016-10-17T12:52:32 | 61,303,046 | 3 | 1 | null | null | null | null | null | [
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xiaoLinNoONE/pythonToQuick | https://github.com/xiaoLinNoONE/pythonToQuick | 01bbf1a64bb682b57c9694b5da9bea8371b60f37 | 67768e2b866b0c39405de4551525c1147c6a67d9 | 974d6d5d60d9b4de26d30be6f25c7be3a5ca842f | refs/heads/master | 2020-05-19T13:24:02.316543 | 2019-05-05T14:04:28 | 2019-05-05T14:04:28 | 185,038,777 | 0 | 0 | null | null | null | null | null | [
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PSCX15/qg | https://github.com/PSCX15/qg | bab5b6e10fb76e6f51cf33add79f8f5df84e20d0 | 99bcd281432b0616e5822e7e949d5dec0a8e4204 | bd559b4bf9ad4aec061593a69e436c01fd365064 | refs/heads/master | 2021-01-12T02:31:30.054297 | 2017-06-07T09:44:40 | 2017-06-07T09:44:40 | 78,056,363 | 0 | 0 | null | null | null | null | null | [
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MdlPC/working-with-images | https://github.com/MdlPC/working-with-images | 94e6f8c3a8628155487dddb92220ccdd8cd1d296 | c11a6aad4af84b2369c24ce7ecbfef5e2ca974b3 | b04d8ec00a89b9069a6c14cb4ab9230d2744d750 | refs/heads/master | 2021-01-16T04:31:20.551735 | 2020-03-12T07:30:39 | 2020-03-12T07:30:39 | 242,977,798 | 0 | 0 | null | null | null | null | null | [
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yusanshi/write-in-Louis-Cha-style | https://github.com/yusanshi/write-in-Louis-Cha-style | f3a5c2b4598ae0b5b8852f8ce0c110ee6582609b | 2d7d862a07e068632b81dc2fdb2058238d221d5f | 93da81573836a4798ec2c9db25dbc372687bd89f | refs/heads/master | 2022-04-13T13:19:21.157490 | 2020-03-17T14:30:42 | 2020-03-17T14:30:42 | 202,991,536 | 0 | 0 | null | null | null | null | null | [
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hucongkun/PyTorchCV | https://github.com/hucongkun/PyTorchCV | d700d2e247e668f231a1475bf95eccc9729d21ed | 325bacab76044b9dc57505856672632807c14755 | c5dfebacc02551adedd3b9a3fee005f5b34c7bb9 | refs/heads/master | 2020-04-16T07:22:03.276989 | 2019-01-10T12:52:08 | 2019-01-10T12:52:08 | null | 0 | 0 | null | null | null | null | null | [
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achescheir/mystery-word | https://github.com/achescheir/mystery-word | 5147358986c6428ca2f0d10f92ae06e2eb6ce4a1 | 6305756f64fc6d2a59d8a7fd8f8dae2d10c63e11 | 943423f48ddd948014befdaebcdff872de0276da | refs/heads/master | 2021-01-10T14:52:29.539811 | 2016-04-04T02:59:35 | 2016-04-04T02:59:35 | 55,178,805 | 0 | 0 | null | null | null | null | null | [
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Lameuhton/starwars | https://github.com/Lameuhton/starwars | 95098348c741203252041d7f5848c355fabf4455 | 456e71811677d1f846ba334b8c0ac6f86344f22c | fc9dd89efb3dd03571810f082ccf8e3169afdb01 | refs/heads/master | 2022-11-26T00:13:17.321786 | 2020-08-04T08:23:32 | 2020-08-04T08:23:32 | 284,920,321 | 0 | 0 | null | null | null | null | null | [
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ShreyaDadhich/Posture_Detection | https://github.com/ShreyaDadhich/Posture_Detection | afb759927e49dbbf53139d7a36af95823effdcac | 77a419c04b028c2faa365a9d337ac5463c79254d | f301b8c21f5edde7001bcd0fb567b1c35bfbbee4 | refs/heads/master | 2022-11-22T23:43:36.103691 | 2020-07-27T21:40:57 | 2020-07-27T21:40:57 | 283,024,792 | 1 | 0 | null | null | null | null | null | [
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