import requests
import re
import time


# URL of the first page of target BTCtalk thread
targetURL = "https://bitcointalk.org/index.php?topic=483515.0"

# List variables used for collecting information
name_list  = []
class_list = []

# Regex matchers
name_match = r'title="View the profile of ([!@#\$\^\*\(\)\-_\+\=\[\]\\\?/a-zA-Z\d\,\.\;\: ]+)"'
# class_match = r'<div class="smalltext">\s+([a-zA-Z\.\s]+)<br />'
class_match = r'<div class="smalltext">\\n[\\t]+([a-zA-Z\.\s]+)<br />'

# While loop that keeps querying thread until reaches end of set page count
n=0
number_of_pages = 367 # One less than actual page count because start from zero

while n <= number_of_pages:
    
    # Print target URL and try to get data
    print("n = {0:d} and target URL is {1}".format(n, targetURL))
    try:
        r = requests.get(targetURL)
    except:
        print("Major connection error!!!!!!")
    page = ascii(r.text)

    # Do regex matching to find names and user classes
    name_matches  = re.findall(name_match, page)
    class_matches = re.findall(class_match, page)

    # Throw out weird unix timestamp names and change donators to legendary
    for i in name_matches:
        if i[0:5] != '14627':
            name_list.append(i)
    for i in class_matches:
        if i == "Donator":
            class_list.append("Legendary")
        else:
            class_list.append(i)

    # Increment the URL to next 20 posts
    n += 1
    listURL = targetURL.split('.')
    listURL[3] = str(int(listURL[3])+20)
    targetURL = '.'.join(listURL)
    time.sleep(1)
    print("User list is: {0:d} long, class list is: {1:d}".format(len(name_list), len(class_list)))


# Create sorted set of unique entries in masterList
unique_name_list = sorted(set(name_list))

# Create and populate other unique lists
unique_class_list = []
post_count_list = []

for i in unique_name_list:
    unique_class_list.append(class_list[name_list.index(i)])
    post_count_list.append(int(name_list.count(i)))
print(post_count_list, unique_name_list, unique_class_list)
# Zip and sort
zipped = list(zip(post_count_list, unique_name_list, unique_class_list))
zipped.sort(reverse=True)


# Write data to file
f = open("userStats_myr.txt", 'w')
f.write('{0:40s} {1:5d}\n'.format("Total number of posts: ", len(name_list)))
f.write('{0:40s} {1:5d}\n'.format("Total number of unique posters: ", len(unique_name_list)))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by legendary members: ", class_list.count("Legendary")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by hero members: ", class_list.count("Hero Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by senior members: ", class_list.count("Sr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by full members: ", class_list.count("Full Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by member members: ", class_list.count("Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by junior members: ", class_list.count("Jr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by newbie members: ", class_list.count("Newbie")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by brand new members: ", class_list.count("Brand New")))
f.write('{0:30s} {1:25s} {2:25s}\n'.format('Username', 'number of posts', 'user class'))
for i in zipped:
    f.write('{0:30s} {1:15d}           {2:35s}\n'.format(i[1], i[0], i[2]))
f.close()
print("Done")

import requests
import re
import time


# URL of the first page of target BTCtalk thread
targetURL = "https://bitcointalk.org/index.php?topic=483515.0"

# List variables used for collecting information
name_list  = []
class_list = []

# Regex matchers
name_match = r'title="View the profile of ([!@#\$\^\*\(\)\-_\+\=\[\]\\\?/a-zA-Z\d\,\.\;\: ]+)"'
# class_match = r'<div class="smalltext">\s+([a-zA-Z\.\s]+)<br />'
class_match = r'<div class="smalltext">\\n[\\t]+([a-zA-Z\.\s]+)<br />'

# While loop that keeps querying thread until reaches end of set page count
n=0
number_of_pages = 367 # One less than actual page count because start from zero

while n <= number_of_pages:
    
    # Print target URL and try to get data
    print("n = {0:d} and target URL is {1}".format(n, targetURL))
    try:
        r = requests.get(targetURL)
    except:
        print("Major connection error!!!!!!")
    page = ascii(r.text)

    # Do regex matching to find names and user classes
    name_matches  = re.findall(name_match, page)
    class_matches = re.findall(class_match, page)

    # Throw out weird unix timestamp names and change donators to legendary
    for i in name_matches:
        if i[0:5] != '14627':
            name_list.append(i)
    for i in class_matches:
        if i == "Donator":
            class_list.append("Legendary")
        else:
            class_list.append(i)

    # Increment the URL to next 20 posts
    n += 1
    listURL = targetURL.split('.')
    listURL[3] = str(int(listURL[3])+20)
    targetURL = '.'.join(listURL)
    time.sleep(1)
    print("User list is: {0:d} long, class list is: {1:d}".format(len(name_list), len(class_list)))


# Create sorted set of unique entries in masterList
unique_name_list = sorted(set(name_list))

# Create and populate other unique lists
unique_class_list = []
post_count_list = []

for i in unique_name_list:
    unique_class_list.append(class_list[name_list.index(i)])
    post_count_list.append(int(name_list.count(i)))
print(post_count_list, unique_name_list, unique_class_list)
# Zip and sort
zipped = list(zip(post_count_list, unique_name_list, unique_class_list))
zipped.sort(reverse=True)


# Write data to file
f = open("userStats_myr.txt", 'w')
f.write('{0:40s} {1:5d}\n'.format("Total number of posts: ", len(name_list)))
f.write('{0:40s} {1:5d}\n'.format("Total number of unique posters: ", len(unique_name_list)))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by legendary members: ", class_list.count("Legendary")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by hero members: ", class_list.count("Hero Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by senior members: ", class_list.count("Sr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by full members: ", class_list.count("Full Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by member members: ", class_list.count("Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by junior members: ", class_list.count("Jr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by newbie members: ", class_list.count("Newbie")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by brand new members: ", class_list.count("Brand New")))
f.write('{0:30s} {1:25s} {2:25s}\n'.format('Username', 'number of posts', 'user class'))
for i in zipped:
    f.write('{0:30s} {1:15d}           {2:35s}\n'.format(i[1], i[0], i[2]))
f.close()
print("Done")

import requests
import re
import time


# URL of the first page of target BTCtalk thread
targetURL = "https://bitcointalk.org/index.php?topic=483515.0"

# List variables used for collecting information
name_list  = []
class_list = []

# Regex matchers
name_match = r'title="View the profile of ([!@#\$\^\*\(\)\-_\+\=\[\]\\\?/a-zA-Z\d\,\.\;\: ]+)"'
# class_match = r'<div class="smalltext">\s+([a-zA-Z\.\s]+)<br />'
class_match = r'<div class="smalltext">\\n[\\t]+([a-zA-Z\.\s]+)<br />'

# While loop that keeps querying thread until reaches end of set page count
n=0
number_of_pages = 367 # One less than actual page count because start from zero

while n <= number_of_pages:
    
    # Print target URL and try to get data
    print("n = {0:d} and target URL is {1}".format(n, targetURL))
    try:
        r = requests.get(targetURL)
    except:
        print("Major connection error!!!!!!")
    page = ascii(r.text)

    # Do regex matching to find names and user classes
    name_matches  = re.findall(name_match, page)
    class_matches = re.findall(class_match, page)

    # Throw out weird unix timestamp names and change donators to legendary
    for i in name_matches:
        if i[0:5] != '14627':
            name_list.append(i)
    for i in class_matches:
        if i == "Donator":
            class_list.append("Legendary")
        else:
            class_list.append(i)

    # Increment the URL to next 20 posts
    n += 1
    listURL = targetURL.split('.')
    listURL[3] = str(int(listURL[3])+20)
    targetURL = '.'.join(listURL)
    time.sleep(1)
    print("User list is: {0:d} long, class list is: {1:d}".format(len(name_list), len(class_list)))


# Create sorted set of unique entries in masterList
unique_name_list = sorted(set(name_list))

# Create and populate other unique lists
unique_class_list = []
post_count_list = []

for i in unique_name_list:
    unique_class_list.append(class_list[name_list.index(i)])
    post_count_list.append(int(name_list.count(i)))
print(post_count_list, unique_name_list, unique_class_list)
# Zip and sort
zipped = list(zip(post_count_list, unique_name_list, unique_class_list))
zipped.sort(reverse=True)


# Write data to file
f = open("userStats_myr.txt", 'w')
f.write('{0:40s} {1:5d}\n'.format("Total number of posts: ", len(name_list)))
f.write('{0:40s} {1:5d}\n'.format("Total number of unique posters: ", len(unique_name_list)))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by legendary members: ", class_list.count("Legendary")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by hero members: ", class_list.count("Hero Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by senior members: ", class_list.count("Sr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by full members: ", class_list.count("Full Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by member members: ", class_list.count("Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by junior members: ", class_list.count("Jr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by newbie members: ", class_list.count("Newbie")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by brand new members: ", class_list.count("Brand New")))
f.write('{0:30s} {1:25s} {2:25s}\n'.format('Username', 'number of posts', 'user class'))
for i in zipped:
    f.write('{0:30s} {1:15d}           {2:35s}\n'.format(i[1], i[0], i[2]))
f.close()
print("Done")

import requests
import re
import time


# URL of the first page of target BTCtalk thread
targetURL = "https://bitcointalk.org/index.php?topic=483515.0"

# List variables used for collecting information
name_list  = []
class_list = []

# Regex matchers
name_match = r'title="View the profile of ([!@#\$\^\*\(\)\-_\+\=\[\]\\\?/a-zA-Z\d\,\.\;\: ]+)"'
# class_match = r'<div class="smalltext">\s+([a-zA-Z\.\s]+)<br />'
class_match = r'<div class="smalltext">\\n[\\t]+([a-zA-Z\.\s]+)<br />'

# While loop that keeps querying thread until reaches end of set page count
n=0
number_of_pages = 367 # One less than actual page count because start from zero

while n <= number_of_pages:
    
    # Print target URL and try to get data
    print("n = {0:d} and target URL is {1}".format(n, targetURL))
    try:
        r = requests.get(targetURL)
    except:
        print("Major connection error!!!!!!")
    page = ascii(r.text)

    # Do regex matching to find names and user classes
    name_matches  = re.findall(name_match, page)
    class_matches = re.findall(class_match, page)

    # Throw out weird unix timestamp names and change donators to legendary
    for i in name_matches:
        if i[0:5] != '14627':
            name_list.append(i)
    for i in class_matches:
        if i == "Donator":
            class_list.append("Legendary")
        else:
            class_list.append(i)

    # Increment the URL to next 20 posts
    n += 1
    listURL = targetURL.split('.')
    listURL[3] = str(int(listURL[3])+20)
    targetURL = '.'.join(listURL)
    time.sleep(1)
    print("User list is: {0:d} long, class list is: {1:d}".format(len(name_list), len(class_list)))


# Create sorted set of unique entries in masterList
unique_name_list = sorted(set(name_list))

# Create and populate other unique lists
unique_class_list = []
post_count_list = []

for i in unique_name_list:
    unique_class_list.append(class_list[name_list.index(i)])
    post_count_list.append(int(name_list.count(i)))
print(post_count_list, unique_name_list, unique_class_list)
# Zip and sort
zipped = list(zip(post_count_list, unique_name_list, unique_class_list))
zipped.sort(reverse=True)


# Write data to file
f = open("userStats_myr.txt", 'w')
f.write('{0:40s} {1:5d}\n'.format("Total number of posts: ", len(name_list)))
f.write('{0:40s} {1:5d}\n'.format("Total number of unique posters: ", len(unique_name_list)))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by legendary members: ", class_list.count("Legendary")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by hero members: ", class_list.count("Hero Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by senior members: ", class_list.count("Sr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by full members: ", class_list.count("Full Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by member members: ", class_list.count("Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by junior members: ", class_list.count("Jr. Member")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by newbie members: ", class_list.count("Newbie")))
f.write('{0:40s} {1:5d}\n'.format("Number of posts by brand new members: ", class_list.count("Brand New")))
f.write('{0:30s} {1:25s} {2:25s}\n'.format('Username', 'number of posts', 'user class'))
for i in zipped:
    f.write('{0:30s} {1:15d}           {2:35s}\n'.format(i[1], i[0], i[2]))
f.close()
print("Done")

Despite the wreck of the US economy and the astronomical $19 trillion public debt of Washington, the dollar still makes up 64% of all central bank reserves. The largest holder of US debt is the Peoples Republic of China, with Japan a close second. As long as the dollar is “king currency,” Washington can run endless budget deficits knowing well that countries like China have no serious alternative to invest its foreign currency trade profits but in US Government or government-guaranteed debt. In effect, as I have pointed out, that has meant that China has de facto financed the military actions of Washington that act to go against Chinese or Russian sovereign interests, to finance countless US State Department Color Revolutions from Tibet to Hong Kong, from Libya to Ukraine, to finance ISIS in the Middle East and on and on and on…

Multi-currency world

If we look more closely at all the steps of the Beijing government since the global financial crisis of 2008 and especially since their creation of the Asian Infrastructure Investment Bank, the BRICS New Development Bank, the bilateral national currency energy agreements with Russia bypassing the dollar, it becomes clear that Zhou and the Beijing leadership have a long-term strategy.

As British economist David Marsh pointed out in reference to the recent Paris Nanjing II remarks of Zhou, “China is embarking, pragmatically but steadily, towards enshrining a multi-currency reserve system at the heart of the world’s financial order.”

Since China’s admission into the IMF select group of SDR currencies last November, the multi-currency system, which China calls “4+1,” would consist of the euro, sterling, yen and renminbi (the 4), co-existing with the dollar. These are the five constituents of the SDR.

To strengthen the recognition of the SDR, Zhou’s Peoples’ Bank of China has begun to publish its foreign reserves total–the world’s biggest–in SDRs as well as dollars.

A golden future

Yet the Chinese alternative to the domination of the US dollar is about far more than paper SDR currency basket promotion. China is clearly aiming at the re-establishment of an international gold standard, presumably one not based on the bankrupt Bretton Woods Dollar-Gold exchange that President Richard Nixon unilaterally ended in August, 1971 when he told the world they would have to swallow paper dollars in the future and could no longer redeem them for gold. At that point global inflation, measured in dollar terms, began to soar in what future economic historians will no doubt dub The Greatest Inflation.

By one estimate, the dollars in worldwide circulation rose by some 2,500% between 1970 and 2000. Since then the rise has clearly brought it well over 3,000%.
http://journal-neo.org/2016/05/18/china-quietly-prepares-golden-alternative-to-dollar-system/