Travis build: 474
This commit is contained in:
@ -230,6 +230,21 @@
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"hash": "4abb40db52960635289aa0c16e94763fccc89bba5f79dedee5332bdfd6df30c7"
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}
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},
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{
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"id": "collect_dictionary",
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"type": "snippetListing",
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"title": "collect_dictionary",
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"attributes": {
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"text": "Inverts a dictionary with non-unique hashable values.\n\nUse `dictionary.items()` in combination with a loop to map the values of the dictionary to keys using `dictionary.setdefault()`, `list()` and `append()` to create a list for each one.\n\n",
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "ac594f6c709ef0b9724cf40925dbd5b55873c6192e9de710d081737767fb2993"
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{
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"id": "compact",
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"type": "snippetListing",
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@ -596,6 +611,36 @@
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"hash": "2270fdbf382af07bdc47d0dba84eec939885734cb17f015186547a1b9a26ecce"
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}
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},
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{
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"id": "find_key",
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"type": "snippetListing",
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"title": "find_key",
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"attributes": {
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"text": "Returns the first key in the provided dictionary that has the given value.\n\nUse `dictionary.items()` and `next()` to return the first key that has a value equal to `val`.\n\n",
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "ef0d9d7e3f982d5c0e68af1793bc76b5dcf2bb2e440b04ad69332dee56f21969"
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}
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},
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{
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"id": "find_keys",
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"type": "snippetListing",
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"title": "find_keys",
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"attributes": {
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"text": "Returns all keys in the provided dictionary that have the given value.\n\nUse `dictionary.items()`, a generator and `list()` to return all keys that have a value equal to `val`.\n\n",
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "3b9f542cfe93debf62a9c9b04479d53c9c9c3f283b08c0d9626e34d53a1f68e4"
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}
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},
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{
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"id": "find_last",
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"type": "snippetListing",
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@ -914,6 +959,21 @@
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"hash": "eb4bff1a92a7848c8184531fee590e8f060a6d4f6ffe214aec4ccda7a5e18031"
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}
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},
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{
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"id": "invert_dictionary",
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"type": "snippetListing",
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"title": "invert_dictionary",
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"attributes": {
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"text": "Inverts a dictionary with unique hashable values.\n\nUse `dictionary.items()` in combination with a list comprehension to create a new dictionary with the values and keys inverted.\n\n",
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "19bd2a5c791a8972e2220ae0a53761f028276373f2574545a9a7f9b39c16330a"
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}
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},
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{
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"id": "is_anagram",
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"type": "snippetListing",
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@ -1179,6 +1239,21 @@
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"hash": "90ea2870f15a25e60c046bc5855929a5cab3985583bfe9491ed1ee5496dd5c31"
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}
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},
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{
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"id": "merge_dictionaries",
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"type": "snippetListing",
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"title": "merge_dictionaries",
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"attributes": {
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"text": "Merges two or more dictionaries.\n\nCreate a new `dict()` and loop over `dicts`, using `dictionary.update()` to add the key-value pairs from each one to the result.\n\n",
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "22e50dcb24fddfa951cf163be6e19b4edad51e6c27dfd434836e204a01cb50bd"
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}
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},
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{
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"id": "min_by",
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"type": "snippetListing",
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@ -1520,6 +1595,22 @@
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"hash": "5221a664a891ded456017072033baeb1bc25ee10e9556f64f09f6ebf0b5bf07b"
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}
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},
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{
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"id": "to_dictionary",
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"type": "snippetListing",
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"title": "to_dictionary",
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"attributes": {
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"text": "Combines two lists into a dictionary, where the elements of the first one serve as the keys and the elements of the second one serve as the values.\nThe values of the first list need to be unique and hashable.\n\nUse `zip()` in combination with a list comprehension to combine the values of the two lists, based on their positions.\n\n",
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"tags": [
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"list",
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "7bdd6d5ef8ea39620cae7a20c78417820842c051861bb572f2162406716fa1b2"
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}
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},
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{
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"id": "transpose",
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"type": "snippetListing",
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@ -365,6 +365,30 @@
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"authorCount": 2
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}
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},
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{
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"id": "collect_dictionary",
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"title": "collect_dictionary",
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"type": "snippet",
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"attributes": {
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"fileName": "collect_dictionary.md",
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"text": "Inverts a dictionary with non-unique hashable values.\n\nUse `dictionary.items()` in combination with a loop to map the values of the dictionary to keys using `dictionary.setdefault()`, `list()` and `append()` to create a list for each one.\n\n",
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"codeBlocks": {
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"code": "def collect_dictionary(obj):\n inv_obj = {}\n for key, value in obj.items():\n inv_obj.setdefault(value, list()).append(key)\n return inv_obj",
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"example": "ages = {\n \"Peter\": 10,\n \"Isabel\": 10,\n \"Anna\": 9,\n}\ncollect_dictionary(ages) # { 10: [\"Peter\", \"Isabel\"], 9: [\"Anna\"] }"
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},
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "ac594f6c709ef0b9724cf40925dbd5b55873c6192e9de710d081737767fb2993",
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"firstSeen": "1586283306",
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"lastUpdated": "1586283306",
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"updateCount": 2,
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"authorCount": 2
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}
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},
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{
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"id": "compact",
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"title": "compact",
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@ -947,6 +971,54 @@
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"authorCount": 2
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}
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},
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{
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"id": "find_key",
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"title": "find_key",
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"type": "snippet",
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"attributes": {
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"fileName": "find_key.md",
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"text": "Returns the first key in the provided dictionary that has the given value.\n\nUse `dictionary.items()` and `next()` to return the first key that has a value equal to `val`.\n\n",
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"codeBlocks": {
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"code": "def find_key(dict, val):\n return next(key for key, value in dict.items() if value == val)",
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"example": "ages = {\n \"Peter\": 10,\n \"Isabel\": 11,\n \"Anna\": 9,\n}\nfind_key(ages, 11) # \"Isabel\""
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},
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "ef0d9d7e3f982d5c0e68af1793bc76b5dcf2bb2e440b04ad69332dee56f21969",
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"firstSeen": "1587053600",
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"lastUpdated": "1587053600",
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"updateCount": 2,
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"authorCount": 2
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}
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},
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{
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"id": "find_keys",
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"title": "find_keys",
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"type": "snippet",
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"attributes": {
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"fileName": "find_keys.md",
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"text": "Returns all keys in the provided dictionary that have the given value.\n\nUse `dictionary.items()`, a generator and `list()` to return all keys that have a value equal to `val`.\n\n",
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"codeBlocks": {
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"code": "def find_keys(dict, val):\n return list(key for key, value in dict.items() if value == val)",
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"example": "ages = {\n \"Peter\": 10,\n \"Isabel\": 11,\n \"Anna\": 10,\n}\nfind_keys(ages, 10) # [ \"Peter\", \"Anna\" ]"
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},
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "3b9f542cfe93debf62a9c9b04479d53c9c9c3f283b08c0d9626e34d53a1f68e4",
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"firstSeen": "1587053833",
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"lastUpdated": "1587053833",
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"updateCount": 2,
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"authorCount": 2
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}
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},
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{
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"id": "find_last",
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"title": "find_last",
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@ -1454,6 +1526,30 @@
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"authorCount": 2
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}
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},
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{
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"id": "invert_dictionary",
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"title": "invert_dictionary",
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"type": "snippet",
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"attributes": {
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"fileName": "invert_dictionary.md",
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"text": "Inverts a dictionary with unique hashable values.\n\nUse `dictionary.items()` in combination with a list comprehension to create a new dictionary with the values and keys inverted.\n\n",
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"codeBlocks": {
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"code": "def invert_dictionary(obj):\n return { value: key for key, value in obj.items() }",
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"example": "ages = {\n \"Peter\": 10,\n \"Isabel\": 11,\n \"Anna\": 9,\n}\ninvert_dictionary(ages) # { 10: \"Peter\", 11 \"Isabel\", 9: \"Anna\" }"
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},
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "19bd2a5c791a8972e2220ae0a53761f028276373f2574545a9a7f9b39c16330a",
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"firstSeen": "1586283212",
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"lastUpdated": "1586283212",
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"updateCount": 2,
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"authorCount": 2
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}
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},
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{
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"id": "is_anagram",
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"title": "is_anagram",
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@ -1872,6 +1968,30 @@
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"authorCount": 2
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}
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},
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{
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"id": "merge_dictionaries",
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"title": "merge_dictionaries",
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"type": "snippet",
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"attributes": {
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"fileName": "merge_dictionaries.md",
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"text": "Merges two or more dictionaries.\n\nCreate a new `dict()` and loop over `dicts`, using `dictionary.update()` to add the key-value pairs from each one to the result.\n\n",
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"codeBlocks": {
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"code": "def merge_dictionaries(*dicts):\n res = dict()\n for d in dicts:\n res.update(d)\n return res",
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"example": "ages_one = {\n \"Peter\": 10,\n \"Isabel\": 11,\n}\nages_two = {\n \"Anna\": 9\n}\nmerge_dictionaries(ages_one, ages_two) # { \"Peter\": 10, \"Isabel\": 11, \"Anna\": 9 }"
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},
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"tags": [
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "22e50dcb24fddfa951cf163be6e19b4edad51e6c27dfd434836e204a01cb50bd",
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"firstSeen": "1587054515",
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"lastUpdated": "1587054515",
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"updateCount": 2,
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"authorCount": 2
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}
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},
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{
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"id": "min_by",
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"title": "min_by",
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@ -2411,6 +2531,31 @@
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"authorCount": 2
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}
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},
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{
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"id": "to_dictionary",
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"title": "to_dictionary",
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"type": "snippet",
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"attributes": {
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"fileName": "to_dictionary.md",
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"text": "Combines two lists into a dictionary, where the elements of the first one serve as the keys and the elements of the second one serve as the values.\nThe values of the first list need to be unique and hashable.\n\nUse `zip()` in combination with a list comprehension to combine the values of the two lists, based on their positions.\n\n",
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"codeBlocks": {
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"code": "def to_dictionary(keys, values):\n return {key:value for key, value in zip(keys, values)}",
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"example": "to_dictionary(['a', 'b'], [1, 2]) # { a: 1, b: 2 }"
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},
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"tags": [
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"list",
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"dictionary",
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"intermediate"
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]
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},
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"meta": {
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"hash": "7bdd6d5ef8ea39620cae7a20c78417820842c051861bb572f2162406716fa1b2",
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"firstSeen": "1586795429",
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"lastUpdated": "1586795429",
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"updateCount": 2,
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"authorCount": 2
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}
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},
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{
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"id": "transpose",
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"title": "transpose",
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