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<nowiki>{{#coordinates:}}</nowiki>: unrecognised type "$1"

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API: $1

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'''The {{PLURAL:$2|user|users}} $1 {{PLURAL:$2|is|are}} now blocked.'''

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This user has [[$1|professional]] knowledge of [[$2|$3]].

This user has [[$1|basic]] knowledge of [[$2|English]].

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blocked [[$1]] with an expiry time of $2 $3

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I, copyright holder of {{PLURAL:$2|this work|these works}}, publish {{PLURAL:$2|this work|these works}} under the $1 licence.

#<!-- leave this line exactly as it is --> <pre>
# This message lets you configure the settings of the "more like this" feature.
# Changes to this take effect immediately.
# The syntax is as follows:
#  * Everything from a "#" character to the end of the line is a comment.
#  * Every non-blank line is the setting name followed by a ":" character followed by the setting value
# The settings are:
#  * min_doc_freq (integer): Minimum number of documents (per shard) that need a term for it to be considered.
#  * max_doc_freq (integer): Maximum number of documents (per shard) that have a term for it to be considered.
#                  High frequency terms are generally "stop words".
#  * max_query_terms (integer): Maximum number of terms to be considered. This value is limited to $wgCirrusSearchMoreLikeThisMaxQueryTermsLimit (100).
#  * min_term_freq (integer): Minimum number of times the term appears in the input to doc to be considered. For small fields (title) this value should be 1.
#  * minimum_should_match (percentage -100% to 100%, or integer number of terms): The percentage of terms to match on. Defaults to 30%.
#  * min_word_len (integer): Minimal length of a term to be considered. Defaults to 0.
#  * max_word_len (integer): The maximum word length above which words will be ignored. Defaults to unbounded (0).
#  * fields (comma separated list of values): These are the fields to use. Allowed fields are title, text, auxiliary_text, opening_text, headings and all.
#  * use_fields (true|false) : Tell the "more like this" query to use only the field data. Defaults to false: the system will extract the content of the text field to build the query.
# Examples of good lines:
# min_doc_freq:2
# max_doc_freq:20000
# max_query_terms:25
# min_term_freq:2
# minimum_should_match:30%
# min_word_len:2
# max_word_len:40
# fields:text,opening_text
# use_fields:true
# </pre> <!-- leave this line exactly as it is -->