Python：从一个巨大的JSON中获取特定值并将其存储为列表

Question

这将从https://api.covid19india.org/state_district_wise.json打印给定州的所有地区，如何在不指定州名称的情况下获取json中的所有地区的名称。我想把它们列成一张清单

import urllib.request, urllib.parse, urllib.error
import json
import requests

url= 'https://api.covid19india.org/state_district_wise.json' 
r = urllib.request.urlopen(url) 
data = r.read().decode() 
js = json.loads(data) 

n = "Andaman and Nicobar Islands"       # n is state name
for i in js[n]['districtData']:
    print(i)

基本上我想要，lst=[尼科巴尔，北部和中部安达曼，南部安达曼，未知，外国撤离者，安纳塔普尔，奇托]

Answer 1

数据已采用json格式， 你只需要做一些字典操作

import requests

url = r"https://api.covid19india.org/state_district_wise.json"
response = requests.get(url)
data = response.json()

all_districts = []

for key, value in data.items():
    # value is district data
    for key1 in value["districtData"]:
        all_districts.append(key1)

print(all_districts)

Answer 2

试试这个：

import requests


r = requests.get("https://api.covid19india.org/state_district_wise.json").json()

districts = []
for i in r.values():
    for k in i['districtData'].keys():
        districts.append(k)
print(districts)

或者，如果您更喜欢列表理解：

import requests

r = requests.get("https://api.covid19india.org/state_district_wise.json").json()
print([k for i in r.values() for k in i['districtData'].keys()])

输出：

['Unassigned', 'Nicobars', 'North and Middle Andaman', 'South Andaman', 'Unknown', 'Foreign Evacuees', 'Anantapur', 'Chittoor', 'East Godavari', 'Guntur', 'Krishna', 'Kurnool', 'Other State', 'Prakasam', 'S.P.S. Nellore', 'Srikakulam', 'Visakhapatnam', 'Vizianagaram', 'West Godavari', 'Y.S.R. Kadapa', 'Anjaw', 'Changlang', 'East Kameng', 'East Siang', 'Kamle', 'Kra Daadi', 'Kurung Kumey', 'Lepa Rada', 'Lohit', 'Longding', 'Lower Dibang Valley', 'Lower Siang', 'Lower Subansiri', 'Namsai', 'Pakke Kessang', 'Papum Pare', 'Shi Yomi', 'Siang', 'Tawang', 'Tirap', 'Upper Dibang Valley', 'Upper Siang', 'Upper Subansiri', 'West Kameng', 'West Siang', 'Unknown', 'Airport Quarantine', 'Baksa', 'Barpeta', 'Biswanath', 'Bongaigaon', 'Cachar', 'Charaideo', 'Chirang', 'Darrang', 'Dhemaji', 'Dhubri', 'Dibrugarh', 'Dima Hasao', 'Goalpara', 'Golaghat', 'Hailakandi', 'Hojai', 'Jorhat', 'Kamrup', 'Kamrup Metropolitan', 'Karbi Anglong', 'Karimganj', 'Kokrajhar', 'Lakhimpur', 'Majuli', 'Morigaon', 'Nagaon', 'Nalbari', 'Other State', 'Sivasagar', 'Sonitpur', 'South Salmara Mankachar', 'Tinsukia', 'Udalguri', 'West Karbi Anglong', 'Unknown', 'Araria', 'Arwal', 'Aurangabad', 'Banka', 'Begusarai', 'Bhagalpur', 'Bhojpur', 'Buxar', 'Darbhanga', 'East Champaran', 'Gaya', 'Gopalganj', 'Jamui', 'Jehanabad', 'Kaimur', 'Katihar', 'Khagaria', 'Kishanganj', 'Lakhisarai', 'Madhepura', 'Madhubani', 'Munger', 'Muzaffarpur', 'Nalanda', 'Nawada', 'Patna', 'Purnia', 'Rohtas', 'Saharsa', 'Samastipur', 'Saran', 'Sheikhpura', 'Sheohar', 'Sitamarhi', 'Siwan', 'Supaul', 'Vaishali', 'West Champaran', 'Chandigarh', 'Other State', 'Balod', 'Baloda Bazar', 'Balrampur', 'Bametara', 'Bastar', 'Bijapur', 'Bilaspur', 'Dakshin Bastar Dantewada', 'Dhamtari', 'Durg', 'Gariaband', 'Janjgir Champa', 'Jashpur', 'Kabeerdham', 'Kondagaon', 'Korba', 'Koriya', 'Mahasamund', 'Mungeli', 'Narayanpur', 'Raigarh', 'Raipur', 'Rajnandgaon', 'Sukma', 'Surajpur', 'Surguja', 'Uttar Bastar Kanker', 'Gaurela Pendra Marwahi', 'Central Delhi', 'East Delhi', 'New Delhi', 'North Delhi', 'North East Delhi', 'North West Delhi', 'Shahdara', 'South Delhi', 'South East Delhi', 'South West Delhi', 'West Delhi', 'Unknown', 'Other State', 'Dadra and Nagar Haveli', 'Daman', 'Diu', 'Other State', 'North Goa', 'South Goa', 'Unknown', 'Other State', 'Ahmedabad', 'Amreli', 'Anand', 'Aravalli', 'Banaskantha', 'Bharuch', 'Bhavnagar', 'Botad', 'Chhota Udaipur', 'Dahod', 'Dang', 'Devbhumi Dwarka', 'Gandhinagar', 'Gir Somnath', 'Jamnagar', 'Junagadh', 'Kheda', 'Kutch', 'Mahisagar', 'Mehsana', 'Morbi', 'Narmada', 'Navsari', 'Panchmahal', 'Patan', 'Porbandar', 'Rajkot', 'Sabarkantha', 'Surat', 'Surendranagar', 'Tapi', 'Vadodara', 'Valsad', 'Bilaspur', 'Chamba', 'Hamirpur', 'Kangra', 'Kinnaur', 'Kullu', 'Lahaul and Spiti', 'Mandi', 'Shimla', 'Sirmaur', 'Solan', 'Una', 'Foreign Evacuees', 'Ambala', 'Bhiwani', 'Charkhi Dadri', 'Faridabad', 'Fatehabad', 'Gurugram', 'Hisar', 'Italians', 'Jhajjar', 'Jind', 'Kaithal', 'Karnal', 'Kurukshetra', 'Mahendragarh', 'Nuh', 'Palwal', 'Panchkula', 'Panipat', 'Rewari', 'Rohtak', 'Sirsa', 'Sonipat', 'Yamunanagar', 'Bokaro', 'Chatra', 'Deoghar', 'Dhanbad', 'Dumka', 'East Singhbhum', 'Garhwa', 'Giridih', 'Godda', 'Gumla', 'Hazaribagh', 'Jamtara', 'Khunti', 'Koderma', 'Latehar', 'Lohardaga', 'Pakur', 'Palamu', 'Ramgarh', 'Ranchi', 'Sahibganj', 'Saraikela-Kharsawan', 'Simdega', 'West Singhbhum', 'Anantnag', 'Bandipora', 'Baramulla', 'Budgam', 'Doda', 'Ganderbal', 'Jammu', 'Kathua', 'Kishtwar', 'Kulgam', 'Kupwara', 'Mirpur', 'Muzaffarabad', 'Pulwama', 'Punch', 'Rajouri', 'Ramban', 'Reasi', 'Samba', 'Shopiyan', 'Srinagar', 'Udhampur', 'Bagalkote', 'Ballari', 'Belagavi', 'Bengaluru Rural', 'Bengaluru Urban', 'Bidar', 'Chamarajanagara', 'Chikkaballapura', 'Chikkamagaluru', 'Chitradurga', 'Dakshina Kannada', 'Davanagere', 'Dharwad', 'Gadag', 'Hassan', 'Haveri', 'Kalaburagi', 'Kodagu', 'Kolar', 'Koppal', 'Mandya', 'Mysuru', 'Other State', 'Raichur', 'Ramanagara', 'Shivamogga', 'Tumakuru', 'Udupi', 'Uttara Kannada', 'Vijayapura', 'Yadgir', 'Other State', 'Alappuzha', 'Ernakulam', 'Idukki', 'Kannur', 'Kasaragod', 'Kollam', 'Kottayam', 'Kozhikode', 'Malappuram', 'Palakkad', 'Pathanamthitta', 'Thiruvananthapuram', 'Thrissur', 'Wayanad', 'Kargil', 'Leh', 'Unknown', 'Lakshadweep', 'Ahmednagar', 'Akola', 'Amravati', 'Aurangabad', 'Beed', 'Bhandara', 'Buldhana', 'Chandrapur', 'Dhule', 'Gadchiroli', 'Gondia', 'Hingoli', 'Jalgaon', 'Jalna', 'Kolhapur', 'Latur', 'Mumbai', 'Mumbai Suburban', 'Nagpur', 'Nanded', 'Nandurbar', 'Nashik', 'Osmanabad', 'Other State', 'Palghar', 'Parbhani', 'Pune', 'Raigad', 'Ratnagiri', 'Sangli', 'Satara', 'Sindhudurg', 'Solapur', 'Thane', 'Wardha', 'Washim', 'Yavatmal', 'East Garo Hills', 'East Jaintia Hills', 'East Khasi Hills', 'North Garo Hills', 'Ribhoi', 'South Garo Hills', 'South West Garo Hills', 'South West Khasi Hills', 'West Garo Hills', 'West Jaintia Hills', 'West Khasi Hills', 'Unknown', 'CAPF Personnel', 'Bishnupur', 'Chandel', 'Churachandpur', 'Imphal East', 'Imphal West', 'Jiribam', 'Kakching', 'Kamjong', 'Kangpokpi', 'Noney', 'Pherzawl', 'Senapati', 'Tamenglong', 'Tengnoupal', 'Thoubal', 'Ukhrul', 'Unknown', 'Agar Malwa', 'Alirajpur', 'Anuppur', 'Ashoknagar', 'Balaghat', 'Barwani', 'Betul', 'Bhind', 'Bhopal', 'Burhanpur', 'Chhatarpur', 'Chhindwara', 'Damoh', 'Datia', 'Dewas', 'Dhar', 'Dindori', 'Guna', 'Gwalior', 'Harda', 'Hoshangabad', 'Indore', 'Jabalpur', 'Jhabua', 'Katni', 'Khandwa', 'Khargone', 'Mandla', 'Mandsaur', 'Morena', 'Narsinghpur', 'Neemuch', 'Niwari', 'Other Region', 'Panna', 'Raisen', 'Rajgarh', 'Ratlam', 'Rewa', 'Sagar', 'Satna', 'Sehore', 'Seoni', 'Shahdol', 'Shajapur', 'Sheopur', 'Shivpuri', 'Sidhi', 'Singrauli', 'Tikamgarh', 'Ujjain', 'Umaria', 'Vidisha', 'Aizawl', 'Champhai', 'Hnahthial', 'Khawzawl', 'Kolasib', 'Lawngtlai', 'Lunglei', 'Mamit', 'Saiha', 'Saitual', 'Serchhip', 'Others', 'Dimapur', 'Kiphire', 'Kohima', 'Longleng', 'Mokokchung', 'Mon', 'Peren', 'Phek', 'Tuensang', 'Wokha', 'Zunheboto', 'State Pool', 'Others', 'Angul', 'Balangir', 'Balasore', 'Bargarh', 'Bhadrak', 'Boudh', 'Cuttack', 'Deogarh', 'Dhenkanal', 'Gajapati', 'Ganjam', 'Jagatsinghpur', 'Jajpur', 'Jharsuguda', 'Kalahandi', 'Kandhamal', 'Kendrapara', 'Kendujhar', 'Khordha', 'Koraput', 'Malkangiri', 'Mayurbhanj', 'Nabarangapur', 'Nayagarh', 'Nuapada', 'Puri', 'Rayagada', 'Sambalpur', 'Subarnapur', 'Sundargarh', 'Amritsar', 'Barnala', 'Bathinda', 'Faridkot', 'Fatehgarh Sahib', 'Fazilka', 'Ferozepur', 'Gurdaspur', 'Hoshiarpur', 'Jalandhar', 'Kapurthala', 'Ludhiana', 'Mansa', 'Moga', 'Pathankot', 'Patiala', 'Rupnagar', 'S.A.S. Nagar', 'Sangrur', 'Shahid Bhagat Singh Nagar', 'Sri Muktsar Sahib', 'Tarn Taran', 'Karaikal', 'Mahe', 'Puducherry', 'Yanam', 'Ajmer', 'Alwar', 'Banswara', 'Baran', 'Barmer', 'Bharatpur', 'Bhilwara', 'Bikaner', 'BSF Camp', 'Bundi', 'Chittorgarh', 'Churu', 'Dausa', 'Dholpur', 'Dungarpur', 'Evacuees', 'Ganganagar', 'Hanumangarh', 'Italians', 'Jaipur', 'Jaisalmer', 'Jalore', 'Jhalawar', 'Jhunjhunu', 'Jodhpur', 'Karauli', 'Kota', 'Nagaur', 'Other State', 'Pali', 'Pratapgarh', 'Rajsamand', 'Sawai Madhopur', 'Sikar', 'Sirohi', 'Tonk', 'Udaipur', 'East Sikkim', 'North Sikkim', 'South Sikkim', 'West Sikkim', 'Unknown', 'Foreign Evacuees', 'Other State', 'Adilabad', 'Bhadradri Kothagudem', 'Hyderabad', 'Jagtial', 'Jangaon', 'Jayashankar Bhupalapally', 'Jogulamba Gadwal', 'Kamareddy', 'Karimnagar', 'Khammam', 'Komaram Bheem', 'Mahabubabad', 'Mahabubnagar', 'Mancherial', 'Medak', 'Medchal Malkajgiri', 'Mulugu', 'Nagarkurnool', 'Nalgonda', 'Narayanpet', 'Nirmal', 'Nizamabad', 'Peddapalli', 'Rajanna Sircilla', 'Ranga Reddy', 'Sangareddy', 'Siddipet', 'Suryapet', 'Vikarabad', 'Wanaparthy', 'Warangal Rural', 'Warangal Urban', 'Yadadri Bhuvanagiri', 'Unknown', 'Railway Quarantine', 'Airport Quarantine', 'Other State', 'Ariyalur', 'Chengalpattu', 'Chennai', 'Coimbatore', 'Cuddalore', 'Dharmapuri', 'Dindigul', 'Erode', 'Kallakurichi', 'Kancheepuram', 'Kanyakumari', 'Karur', 'Krishnagiri', 'Madurai', 'Nagapattinam', 'Namakkal', 'Nilgiris', 'Perambalur', 'Pudukkottai', 'Ramanathapuram', 'Ranipet', 'Salem', 'Sivaganga', 'Tenkasi', 'Thanjavur', 'Theni', 'Thiruvallur', 'Thiruvarur', 'Thoothukkudi', 'Tiruchirappalli', 'Tirunelveli', 'Tirupathur', 'Tiruppur', 'Tiruvannamalai', 'Vellore', 'Viluppuram', 'Virudhunagar', 'Dhalai', 'Gomati', 'Khowai', 'North Tripura', 'Sipahijala', 'South Tripura', 'Unokoti', 'West Tripura', 'Agra', 'Aligarh', 'Ambedkar Nagar', 'Amethi', 'Amroha', 'Auraiya', 'Ayodhya', 'Azamgarh', 'Baghpat', 'Bahraich', 'Ballia', 'Balrampur', 'Banda', 'Barabanki', 'Bareilly', 'Basti', 'Bhadohi', 'Bijnor', 'Budaun', 'Bulandshahr', 'Chandauli', 'Chitrakoot', 'Deoria', 'Etah', 'Etawah', 'Farrukhabad', 'Fatehpur', 'Firozabad', 'Gautam Buddha Nagar', 'Ghaziabad', 'Ghazipur', 'Gonda', 'Gorakhpur', 'Hamirpur', 'Hapur', 'Hardoi', 'Hathras', 'Jalaun', 'Jaunpur', 'Jhansi', 'Kannauj', 'Kanpur Dehat', 'Kanpur Nagar', 'Kasganj', 'Kaushambi', 'Kushinagar', 'Lakhimpur Kheri', 'Lalitpur', 'Lucknow', 'Maharajganj', 'Mahoba', 'Mainpuri', 'Mathura', 'Mau', 'Meerut', 'Mirzapur', 'Moradabad', 'Muzaffarnagar', 'Pilibhit', 'Pratapgarh', 'Prayagraj', 'Rae Bareli', 'Rampur', 'Saharanpur', 'Sambhal', 'Sant Kabir Nagar', 'Shahjahanpur', 'Shamli', 'Shrawasti', 'Siddharthnagar', 'Sitapur', 'Sonbhadra', 'Sultanpur', 'Unnao', 'Varanasi', 'Almora', 'Bageshwar', 'Chamoli', 'Champawat', 'Dehradun', 'Haridwar', 'Nainital', 'Pauri Garhwal', 'Pithoragarh', 'Rudraprayag', 'Tehri Garhwal', 'Udham Singh Nagar', 'Uttarkashi', 'Alipurduar', 'Bankura', 'Birbhum', 'Cooch Behar', 'Dakshin Dinajpur', 'Darjeeling', 'Hooghly', 'Howrah', 'Jalpaiguri', 'Jhargram', 'Kalimpong', 'Kolkata', 'Malda', 'Murshidabad', 'Nadia', 'North 24 Parganas', 'Other State', 'Paschim Bardhaman', 'Paschim Medinipur', 'Purba Bardhaman', 'Purba Medinipur', 'Purulia', 'South 24 Parganas', 'Uttar Dinajpur']

要获取地区数据，只需使用目录列表

例如：

districts = []
for i in r.values():
    for k, v in i['districtData'].items():
        districts.append({k: v})
print(districts)

具有列表理解能力：

import requests

r = requests.get("https://api.covid19india.org/state_district_wise.json").json()
print([{k: v} for i in r.values() for k, v in i['districtData'].items()])

输出：

{'Unassigned': {'notes': '', 'active': 0, 'confirmed': 0, 'deceased': 0, 'recovered': 0, 'delta': {'confirmed': 0, 'deceased': 0, 'recovered': 0}}}, {'Nicobars': {'notes': 'District-wise numbers are out-dated as cumulative counts for each district are not reported in bulletin', 'active': 0, 'confirmed': 0, 'deceased': 0, 'recovered': 0, 'delta': {'confirmed': 0, 'deceased': 0, 'recovered': 0}}}, {'North and Middle Andaman': {'notes': 'District-wise numbers are out-dated as cumulative counts for each district are not reported in bulletin', 'active': 0, 'confirmed': 1, 'deceased': 0, 'recovered': 1, 'delta': {'confirmed': 0, 'deceased': 0, 'recovered': 0}}},
...

要从每个区域获取每个键的所有值，只需替换键名：

注意：我以confirmed为例，您可以通过相同的方式获得所有其他值

import requests

r = requests.get("https://api.covid19india.org/state_district_wise.json").json()
print([v['confirmed'] for i in r.values() for v in i['districtData'].values()])

输出：

[0, 0, 1, 51, 3579, 434, 52298, 54059, 85247, 48864, 23591, 53754, 2461, 40826, 47283, 35468, 46508, 30978, 56741, 39264, 91, 636, 252, 438, 3, 4, 23, 83, 198, 94, 168, 152, 147, 216, 32, 2678, 21, 44, 243, 232, 4, 108, 173, 460, 351, 154, 13, 687, 1121, 467, 1303, 6111, 113, 280, 1967, 765, 1723, 8653, 237, 658, 2896, 1632, 1646, 6519, 4590, 39220, 632, 1200, 408, 2449, 165, 638, 4515, 948, 1, 529, 2351, 51, 3366, 758, 39, 54207, 4681, 1639, 3434, 2128, 6029, 6950, 3971, 3272, 2918, 6070, 5313, 3699, 1991, 2725, 1502, 5356, 2568, 2771, 2402, 2805, 5706, 2734, 7405, 5428, 2536, 25356, 5395, 5023, 4473, 3936, 5156, 2090, 977, 3198, 3435, 3547, 3932, 4436, 9516, 143, 1489, 2156, 674, 940, 2035, 1234, 5834, 1087, 1401, 7766, 978, 3295, 832, 1532, 890, 1995, 1117, 1623, 973, 1023, 4662, 26119, 6340, 1106, 1087, 1681, 1338, 267, 184, 38, 37, 60, 25, 32, 48, 70, 130, 42, 122, 238040, 0, 1389, 1184, 287, 200, 2668, 3511, 21000, 162, 34581, 1773, 968, 521, 1566, 1969, 3677, 655, 440, 1508, 93, 455, 3146, 1235, 4795, 2377, 1148, 1750, 817, 2131, 1385, 813, 1077, 1995, 1473, 397, 7421, 919, 25668, 1500, 507, 10462, 1114, 598, 677, 762, 1759, 138, 433, 96, 1228, 826, 1482, 2566, 1057, 0, 6690, 2301, 481, 17270, 1827, 17077, 4479, 0, 2084, 1578, 1996, 6291, 4416, 2797, 1021, 2191, 4765, 6372, 4840, 4771, 2846, 6889, 3279, 3210, 1079, 2034, 4339, 854, 11911, 1674, 2857, 1085, 1423, 2854, 657, 1220, 2468, 1331, 905, 604, 2211, 3115, 14955, 1150, 2332, 1485, 2825, 3151, 3083, 3726, 4217, 1350, 2410, 9650, 1619, 792, 2154, 3079, 0, 0, 3413, 1239, 1923, 969, 701, 1296, 1916, 12637, 1716, 8987, 28485, 17559, 7343, 187705, 5723, 3354, 6290, 6925, 5779, 19322, 14243, 15309, 7900, 13229, 7366, 15333, 2177, 4887, 9834, 8907, 28677, 36, 10164, 4583, 13572, 10591, 14891, 7941, 8365, 7505, 0, 9332, 10667, 2640, 7348, 8004, 8169, 7124, 10688, 14511, 7348, 5421, 24699, 8007, 2425, 1581, 2054, 0, 0, 33890, 5946, 10103, 31402, 8257, 3671, 6117, 7103, 11434, 1454, 4087, 2343, 41373, 6459, 36076, 14043, 180668, 0, 60109, 12777, 4450, 60650, 9959, 1221, 33005, 4512, 253554, 45135, 7100, 29769, 28518, 2931, 30191, 166982, 2653, 3236, 6318, 107, 308, 2745, 32, 377, 38, 27, 8, 605, 41, 68, 91, 1384, 317, 118, 486, 889, 2178, 148, 228, 159, 349, 77, 33, 272, 270, 84, 866, 315, 434, 327, 894, 664, 366, 667, 1586, 1374, 770, 14339, 662, 972, 859, 1257, 1057, 1079, 1706, 342, 571, 8720, 704, 1087, 18717, 7151, 1103, 882, 1267, 2762, 446, 1304, 2379, 1615, 1688, 276, 0, 481, 1046, 1113, 1661, 1354, 1830, 1065, 1260, 533, 1242, 756, 721, 1822, 593, 585, 622, 2455, 338, 1388, 1032, 17, 5, 4, 210, 34, 141, 34, 31, 11, 29, 46, 2670, 16, 1660, 7, 44, 333, 351, 34, 75, 35, 121, 2738, 0, 2544, 3397, 6067, 5123, 4334, 1369, 15485, 479, 2983, 3324, 19567, 3771, 6678, 3089, 2464, 3385, 3755, 3293, 30145, 5347, 3051, 6436, 2684, 4120, 2025, 7913, 6699, 4730, 2264, 6291, 7728, 1592, 4646, 2281, 1652, 1684, 2716, 4752, 3527, 10976, 2481, 15715, 1233, 1961, 2627, 9963, 1587, 8144, 3067, 1162, 1968, 1344, 1603, 140, 18727, 1443, 5793, 9535, 1011, 1139, 2562, 4027, 2901, 5514, 85, 1088, 1385, 1380, 760, 2637, 1419, 61, 1074, 682, 2, 16741, 648, 1625, 2194, 1340, 16399, 731, 8224, 3058, 189, 4805, 686, 1554, 751, 3459, 1632, 939, 3260, 1446, 1, 475, 87, 294, 33, 250, 1400, 3098, 57598, 3185, 1944, 1098, 2261, 3217, 7203, 5010, 728, 2871, 2800, 2850, 1936, 9716, 1116, 2141, 5944, 635, 1248, 5066, 3304, 2531, 13969, 4544, 3918, 3657, 1056, 1846, 1888, 6766, 1885, 457, 428, 1833, 0, 3411, 31972, 153616, 24778, 17568, 2554, 8230, 5116, 8506, 20205, 11547, 2448, 3538, 15724, 4555, 3898, 2750, 1622, 7962, 5332, 12519, 15923, 4701, 6638, 9063, 14112, 29664, 5883, 12710, 9363, 11620, 4119, 5727, 13949, 13274, 10121, 13929, 2176, 2505, 1462, 1783, 2364, 1795, 1390, 8029, 4595, 7118, 1267, 2121, 2308, 1881, 5070, 4097, 1193, 2775, 5216, 1364, 1626, 5495, 9087, 3166, 1437, 2593, 2404, 3226, 2803, 1056, 5321, 1535, 3451, 2001, 1970, 2318, 11043, 12022, 3535, 3331, 13545, 910, 2323, 3885, 871, 1925, 4565, 6263, 2184, 1603, 21962, 1264, 1319, 4349, 3873, 2162, 44109, 4223, 715, 2441, 3516, 2113, 7507, 2129, 7370, 3798, 3154, 3035, 15972, 2373, 4462, 6251, 2036, 2360, 4908, 1979, 856, 2862, 3137, 2425, 2834, 3014, 11781, 1035, 511, 681, 602, 9609, 7798, 4802, 1322, 831, 548, 1830, 6943, 1495, 3725, 4409, 3072, 4703, 4776, 6814, 10903, 16043, 5151, 489, 732, 49070, 6029, 4874, 5986, 44184, 66, 5939, 8169, 4058, 9196, 2624, 14731, 3029]